From a31fe6f15ff86ebe5949e5d3765348880ac42311 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 5 Mar 2020 18:35:41 +0100
Subject: [PATCH 001/137] [ADD] a basic README

---
 README.md               |  27 +++++++++++++++++++++++++++
 img/nidm-layer-cake.png | Bin 0 -> 216752 bytes
 img/w3c.svg             |   3 +++
 3 files changed, 30 insertions(+)
 create mode 100644 img/nidm-layer-cake.png
 create mode 100644 img/w3c.svg

diff --git a/README.md b/README.md
index 2cd425669..41b5b6eb8 100644
--- a/README.md
+++ b/README.md
@@ -1,2 +1,29 @@
 # BIDS-prov
 provenance framework for BIDS
+
+
+## BIDS-prov in the NIDM project
+The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
+
+![NIDM](img/nidm-layer-cake.png "NIDM building blocks")
+
+BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
+
+Common definition and objects are directly taken from NIDM core vocab (level 2) in order to ensure all described projects speak a common language.
+
+---------------
+Mature building blocks of NIDM:
+* [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
+* [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
+
+--------------
+### Concepts 
+BIDS-prov represents interactions in neuro_imaging projects using [JSON-ld](https://json-ld.org/) files, following [W3C-prov] concepts 
+![NIDM](img/w3c.svg)
+
+As an example, I may use the SPM software to run a bunch of experiments. These experiments consume files and produce files.
+In this case:
+* SPM is an agent
+* my output files are entities, derived from some input files
+* Running my SPM batch on some input files is an Activity.
+
diff --git a/img/nidm-layer-cake.png b/img/nidm-layer-cake.png
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new file mode 100644
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From a3124e033d1eca569237c14218f984ff6db86235 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 5 Mar 2020 19:17:01 +0100
Subject: [PATCH 002/137] [ADD] CLI to visualize prov files

---
 .gitignore             |  2 ++
 bids_prov/__init__.py  |  0
 bids_prov/visualize.py | 58 ++++++++++++++++++++++++++++++++++++++++++
 requirements.txt       |  2 ++
 4 files changed, 62 insertions(+)
 create mode 100644 bids_prov/__init__.py
 create mode 100644 bids_prov/visualize.py
 create mode 100644 requirements.txt

diff --git a/.gitignore b/.gitignore
index be5ebe09f..d94ac5fc2 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,2 +1,4 @@
 **/*.hdr
 **/*.img
+**/*.gv*
+settings.json
diff --git a/bids_prov/__init__.py b/bids_prov/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/bids_prov/visualize.py b/bids_prov/visualize.py
new file mode 100644
index 000000000..12b39994d
--- /dev/null
+++ b/bids_prov/visualize.py
@@ -0,0 +1,58 @@
+"""
+A Command Line Interface to generate `graphviz` graphs from bids-prov JSON-ld files
+
+This facilitates debugging and design of the specifications
+"""
+
+import click
+from graphviz import Digraph
+import json
+
+EDGES_PROPS = dict(
+    associatedWith={'color':'pink'},
+    informedBy={},
+    derivedFrom={},
+    actedOnBehalfOf={'color': 'pink'},
+    attributedTo={'color': 'pink'},
+    generatedBy={},
+)
+
+NODE_PROPS = dict(
+    Entity=dict(shape='rect', style='rounded,filled', fillcolor='#f3f0b2'),
+    Agent=dict(shape='house', fillcolor="#F5D0A9", style="filled"),
+    Activity=dict(shape='rect', style='filled', fillcolor='#bfb4dd'),
+)
+
+
+
+
+@click.command()
+@click.argument('filenames', nargs=-1)
+@click.option('--verbose', default=False)
+@click.option('--output_file', '-o', default='prov.gv')
+def main(filenames, verbose, output_file):
+    edge_props = EDGES_PROPS
+    #if not verbose:
+    #    edge_props.disc{'informedBy'}  # TODO : give a more complete set
+    
+    g = Digraph(format='png')
+    for filename in filenames:
+        with open(filename, 'r') as fd:
+            data = json.load(fd)
+
+        data = data['@graph']
+        with g.subgraph(name=filename) as s:
+            for e in data:
+                props = NODE_PROPS.get(e['@type'], {})
+                s.node(e['@id'], **props)
+
+            for e in data:
+                keys = e.keys() & edge_props.keys()
+                for key in keys:
+                    s.edge(e['@id'], e[key], label=key, **edge_props[key])
+
+    g.render(output_file, quiet_view=True)
+
+
+if __name__ == '__main__':
+    main()
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 000000000..acbdfeb4a
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,2 @@
+click
+graphviz

From 94aef724aed7002bc6e0df13a51c81240119dfb6 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Wed, 11 Mar 2020 17:01:44 +0100
Subject: [PATCH 003/137] init jsonld files for spm_default

---
 .gitignore                    |  3 +++
 examples/default/copies.json  | 37 +++++++++++++++++++++++++++++++++++
 examples/default/realign.json | 37 +++++++++++++++++++++++++++++++++++
 3 files changed, 77 insertions(+)
 create mode 100644 examples/default/copies.json
 create mode 100644 examples/default/realign.json

diff --git a/.gitignore b/.gitignore
index d94ac5fc2..f29b5aa1b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -2,3 +2,6 @@
 **/*.img
 **/*.gv*
 settings.json
+**/*.gz
+.datalad
+**/*.tsv
diff --git a/examples/default/copies.json b/examples/default/copies.json
new file mode 100644
index 000000000..08fb91155
--- /dev/null
+++ b/examples/default/copies.json
@@ -0,0 +1,37 @@
+{
+    "@context": 
+      {
+        "bids" : "https://some/url/to/bids_context.jsonld",
+        "exp_dir" : {"@id" : "$HOME/nidm-results-examples/spm-default/ds011/"}
+      },
+    "@id": "http://example.org/ds00000X",
+    "generatedAt": "2020-03-10T10:00:00",
+    "wasGeneratedBy": {
+        "@id": "INRIA",
+        "@type": "Project",
+        "startedAt": "2016-09-01T10:00:00",
+        "wasAssociatedWith": { "@id": "NIH",
+                               "@type": "Organization",
+                               "hadRole": "Funding"
+                             }
+      },
+    "@graph": [
+      {
+        "@id": ":exp_dir/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "@type": "bids:gzip_file",
+        "value": "??",
+        "derivedFrom": {"type" : "null"},
+        "attributedTo": {"type" : "null"},
+        "generatedBy" : {"type" : "null"},
+        "generatedAt": "2019-10-10T10:00:00"
+      },
+      {
+        "@id" : ":exp_dir/PREPROCESSING/FUNCTIONAL/",
+        "@type" : "bids:nifti_file",
+        "derivedFrom" : "context:exp_dir/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "attributedTo" : "bids:spm:SPM",
+        "generatedBy" : "bids:spm:spm_copy_to"
+      }
+    ]
+  }
+  
\ No newline at end of file
diff --git a/examples/default/realign.json b/examples/default/realign.json
new file mode 100644
index 000000000..9f9d8d048
--- /dev/null
+++ b/examples/default/realign.json
@@ -0,0 +1,37 @@
+{
+    "@context": 
+      {
+        "bids" : "https://some/url/to/bids_context.jsonld",
+        "exp_dir" : {"@id" : "$HOME/nidm-results-examples/spm-default/ds011/"}
+      },
+    "@id": "http://example.org/ds00000X",
+    "generatedAt": "2020-03-10T10:00:00",
+    "wasGeneratedBy": {
+        "@id": "INRIA",
+        "@type": "Project",
+        "startedAt": "2016-09-01T10:00:00",
+        "wasAssociatedWith": { "@id": "NIH",
+                               "@type": "Organization",
+                               "hadRole": "Funding"
+                             }
+      },
+    "@graph": [
+      {
+        "@id" : "realign",
+        "@type" : "bids:bids_activity",
+        "wasAssociatedWith" : "bids:spmspatial.realign.estwrite",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:00:00",
+        "used" : ":exp_dir/PREPROCESSING/ANATOMICAL/*",
+        "eoptions" : {
+            "quality" : 0.9,
+            "sep" : 4
+          },
+        "roptions" : {
+          "which" : [0, 1],
+          "interp" : 4
+        }
+      }
+    ]
+  }
+  
\ No newline at end of file

From 4b278415fd522d1db7ca5530576e4045a1027539 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 19 Mar 2020 15:14:41 +0100
Subject: [PATCH 004/137] improve spm_default/realign.json

---
 examples/default/copies.json  | 17 +++++-----
 examples/default/realign.json | 60 +++++++++++++++++++++++++++++++++--
 2 files changed, 66 insertions(+), 11 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index 08fb91155..5ef7d6f2e 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -2,7 +2,11 @@
     "@context": 
       {
         "bids" : "https://some/url/to/bids_context.jsonld",
-        "exp_dir" : {"@id" : "$HOME/nidm-results-examples/spm-default/ds011/"}
+        "exp_dir" : {
+          "@id" : "exp_dir",
+          "prov:atLocation" : "$HOME/nidm-results-examples/spm-default/ds011/"
+        },
+        "prov" : "http://www.w3.org/ns/prov#>"
       },
     "@id": "http://example.org/ds00000X",
     "generatedAt": "2020-03-10T10:00:00",
@@ -17,20 +21,17 @@
       },
     "@graph": [
       {
-        "@id": ":exp_dir/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "@id": "exp_dir:sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
         "@type": "bids:gzip_file",
         "value": "??",
-        "derivedFrom": {"type" : "null"},
-        "attributedTo": {"type" : "null"},
-        "generatedBy" : {"type" : "null"},
         "generatedAt": "2019-10-10T10:00:00"
       },
       {
         "@id" : ":exp_dir/PREPROCESSING/FUNCTIONAL/",
         "@type" : "bids:nifti_file",
-        "derivedFrom" : "context:exp_dir/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-        "attributedTo" : "bids:spm:SPM",
-        "generatedBy" : "bids:spm:spm_copy_to"
+        "derivedFrom" : "exp_dir:sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "attributedTo" : "bids:SPM",
+        "generatedBy" : "copy_to"
       }
     ]
   }
diff --git a/examples/default/realign.json b/examples/default/realign.json
index 9f9d8d048..c902512c6 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -2,7 +2,48 @@
     "@context": 
       {
         "bids" : "https://some/url/to/bids_context.jsonld",
-        "exp_dir" : {"@id" : "$HOME/nidm-results-examples/spm-default/ds011/"}
+        "prov" : "http://www.w3.org/ns/prov#",
+        "xsd": "http://www.w3.org/2001/XMLSchema#",
+        "exp_dir" : {
+          "@id" : "exp_dir",
+          "prov:atLocation" : "$HOME/nidm-results-examples/spm-default/ds011/"
+        },
+        "startedAtTime" : {
+          "@id": "http://www.w3.org/ns/prov#startedAtTime",
+          "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
+        },
+        "endedAtTime" : {
+          "@id": "http://www.w3.org/ns/prov#endedAtTime",
+          "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
+        },
+        "wasGeneratedBy" : {
+          "@id": "http://www.w3.org/ns/prov#wasGeneratedBy",
+          "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+        },
+        "wasAssociatedWith" : {
+          "@id": "http://www.w3.org/ns/prov#wasAssociatedWith",
+          "@type": "http://www.w3.org/2001/XMLSchema#Agent"
+        },
+        "wasInformedBy" : {
+          "@id": "http://www.w3.org/ns/prov#wasInformedBy",
+          "@type": "http://www.w3.org/2001/XMLSchema#Activity"
+        },
+        "used" : {
+          "@id": "http://www.w3.org/ns/prov#used",
+          "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+        },
+        "quality" : {
+          "@id": "TODO",
+          "@type": "xsd:float"
+        },
+        "sep" : {
+          "@id" : "TODO",
+          "@type" : "xsd:int" 
+        },
+        "which" : {
+          "@id" : "TODO",
+          "@type" : "xsd:list"
+        }
       },
     "@id": "http://example.org/ds00000X",
     "generatedAt": "2020-03-10T10:00:00",
@@ -18,8 +59,8 @@
     "@graph": [
       {
         "@id" : "realign",
-        "@type" : "bids:bids_activity",
-        "wasAssociatedWith" : "bids:spmspatial.realign.estwrite",
+        "@type" : "prov:Activity",
+        "wasAssociatedWith" : "estwrite",
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:00:00",
         "used" : ":exp_dir/PREPROCESSING/ANATOMICAL/*",
@@ -31,6 +72,19 @@
           "which" : [0, 1],
           "interp" : 4
         }
+      },
+      {
+        "@id" : "coreg.estimate",
+        "@type" : "prov:Activity",
+        "wasAssociatedWith" : "SPM",
+        "wasInformedBy" : "realign",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:0",
+        "used" : "TODO",
+        "eoptions" : {
+          "cost_fun" : "nmi",
+          "sep" : [4, 2]
+        }
       }
     ]
   }

From fd353b3d783fde1a8beab3c68ec33d972edebcaf Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 20 Mar 2020 18:33:31 +0100
Subject: [PATCH 005/137] [RM] types for parameters & simplify reading

---
 examples/default/realign.json | 37 +++++++++++------------------------
 1 file changed, 11 insertions(+), 26 deletions(-)

diff --git a/examples/default/realign.json b/examples/default/realign.json
index c902512c6..44ac20e03 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -1,5 +1,5 @@
 {
-    "@context": 
+    "@context":
       {
         "bids" : "https://some/url/to/bids_context.jsonld",
         "prov" : "http://www.w3.org/ns/prov#",
@@ -31,18 +31,6 @@
         "used" : {
           "@id": "http://www.w3.org/ns/prov#used",
           "@type": "http://www.w3.org/2001/XMLSchema#Entity"
-        },
-        "quality" : {
-          "@id": "TODO",
-          "@type": "xsd:float"
-        },
-        "sep" : {
-          "@id" : "TODO",
-          "@type" : "xsd:int" 
-        },
-        "which" : {
-          "@id" : "TODO",
-          "@type" : "xsd:list"
         }
       },
     "@id": "http://example.org/ds00000X",
@@ -64,14 +52,12 @@
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:00:00",
         "used" : ":exp_dir/PREPROCESSING/ANATOMICAL/*",
-        "eoptions" : {
-            "quality" : 0.9,
-            "sep" : 4
-          },
-        "roptions" : {
-          "which" : [0, 1],
-          "interp" : 4
-        }
+        "attributes" : [
+          ["eoptions.quality", 0.9],
+          ["eoptions.sep", 4],
+          ["roptions.which", [0, 1]],
+          ["roptions.interp", 4]
+        ]
       },
       {
         "@id" : "coreg.estimate",
@@ -81,11 +67,10 @@
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:0",
         "used" : "TODO",
-        "eoptions" : {
-          "cost_fun" : "nmi",
-          "sep" : [4, 2]
-        }
+        "attributes" : [
+          ["eoptions.cost_fun", "nmi"],
+          ["sep", [4, 2]]
+        ]
       }
     ]
   }
-  
\ No newline at end of file

From e09f052f2b4d845ec952f37fb5215257fba62b43 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 23 Mar 2020 13:30:30 +0100
Subject: [PATCH 006/137] mke all examples use a context.json at the root

---
 context.json                  | 35 +++++++++++++++++++++++++++++++++++
 examples/default/copies.json  | 10 +---------
 examples/default/realign.json | 35 +----------------------------------
 3 files changed, 37 insertions(+), 43 deletions(-)
 create mode 100644 context.json

diff --git a/context.json b/context.json
new file mode 100644
index 000000000..acdd7dbe7
--- /dev/null
+++ b/context.json
@@ -0,0 +1,35 @@
+{
+    "bids" : "https://some/url/to/bids_context.jsonld",
+    "prov" : "http://www.w3.org/ns/prov#",
+    "xsd": "http://www.w3.org/2001/XMLSchema#",
+    "exp_dir" : {
+      "@id" : "exp_dir",
+      "prov:atLocation" : "$HOME/nidm-results-examples/spm-default/ds011/"
+    },
+    "startedAtTime" : {
+      "@id": "http://www.w3.org/ns/prov#startedAtTime",
+      "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
+    },
+    "endedAtTime" : {
+      "@id": "http://www.w3.org/ns/prov#endedAtTime",
+      "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
+    },
+    "wasGeneratedBy" : {
+      "@id": "http://www.w3.org/ns/prov#wasGeneratedBy",
+      "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+    },
+    "wasAssociatedWith" : {
+      "@id": "http://www.w3.org/ns/prov#wasAssociatedWith",
+      "@type": "http://www.w3.org/2001/XMLSchema#Agent"
+    },
+    "wasInformedBy" : {
+      "@id": "http://www.w3.org/ns/prov#wasInformedBy",
+      "@type": "http://www.w3.org/2001/XMLSchema#Activity"
+    },
+    "used" : {
+      "@id": "http://www.w3.org/ns/prov#used",
+      "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+    }
+}
+
+  
\ No newline at end of file
diff --git a/examples/default/copies.json b/examples/default/copies.json
index 5ef7d6f2e..4c0deed06 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -1,13 +1,5 @@
 {
-    "@context": 
-      {
-        "bids" : "https://some/url/to/bids_context.jsonld",
-        "exp_dir" : {
-          "@id" : "exp_dir",
-          "prov:atLocation" : "$HOME/nidm-results-examples/spm-default/ds011/"
-        },
-        "prov" : "http://www.w3.org/ns/prov#>"
-      },
+    "@context": "$HOME/BIDS-prov/context.json",
     "@id": "http://example.org/ds00000X",
     "generatedAt": "2020-03-10T10:00:00",
     "wasGeneratedBy": {
diff --git a/examples/default/realign.json b/examples/default/realign.json
index 44ac20e03..5cf084fde 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -1,38 +1,5 @@
 {
-    "@context":
-      {
-        "bids" : "https://some/url/to/bids_context.jsonld",
-        "prov" : "http://www.w3.org/ns/prov#",
-        "xsd": "http://www.w3.org/2001/XMLSchema#",
-        "exp_dir" : {
-          "@id" : "exp_dir",
-          "prov:atLocation" : "$HOME/nidm-results-examples/spm-default/ds011/"
-        },
-        "startedAtTime" : {
-          "@id": "http://www.w3.org/ns/prov#startedAtTime",
-          "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
-        },
-        "endedAtTime" : {
-          "@id": "http://www.w3.org/ns/prov#endedAtTime",
-          "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
-        },
-        "wasGeneratedBy" : {
-          "@id": "http://www.w3.org/ns/prov#wasGeneratedBy",
-          "@type": "http://www.w3.org/2001/XMLSchema#Entity"
-        },
-        "wasAssociatedWith" : {
-          "@id": "http://www.w3.org/ns/prov#wasAssociatedWith",
-          "@type": "http://www.w3.org/2001/XMLSchema#Agent"
-        },
-        "wasInformedBy" : {
-          "@id": "http://www.w3.org/ns/prov#wasInformedBy",
-          "@type": "http://www.w3.org/2001/XMLSchema#Activity"
-        },
-        "used" : {
-          "@id": "http://www.w3.org/ns/prov#used",
-          "@type": "http://www.w3.org/2001/XMLSchema#Entity"
-        }
-      },
+    "@context": "$HOME/BIDS-prov/context.json",
     "@id": "http://example.org/ds00000X",
     "generatedAt": "2020-03-10T10:00:00",
     "wasGeneratedBy": {

From 611f757fbaa762d3655fcee8f8f5137ca0004057 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 23 Mar 2020 13:42:55 +0100
Subject: [PATCH 007/137] spm_default  realign uses entity from copies

---
 context.json                  | 2 +-
 examples/default/copies.json  | 2 +-
 examples/default/realign.json | 2 +-
 3 files changed, 3 insertions(+), 3 deletions(-)

diff --git a/context.json b/context.json
index acdd7dbe7..b4cf69927 100644
--- a/context.json
+++ b/context.json
@@ -4,7 +4,7 @@
     "xsd": "http://www.w3.org/2001/XMLSchema#",
     "exp_dir" : {
       "@id" : "exp_dir",
-      "prov:atLocation" : "$HOME/nidm-results-examples/spm-default/ds011/"
+      "prov:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm-default/ds011/"
     },
     "startedAtTime" : {
       "@id": "http://www.w3.org/ns/prov#startedAtTime",
diff --git a/examples/default/copies.json b/examples/default/copies.json
index 4c0deed06..002adcad1 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -19,7 +19,7 @@
         "generatedAt": "2019-10-10T10:00:00"
       },
       {
-        "@id" : ":exp_dir/PREPROCESSING/FUNCTIONAL/",
+        "@id" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
         "@type" : "bids:nifti_file",
         "derivedFrom" : "exp_dir:sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
         "attributedTo" : "bids:SPM",
diff --git a/examples/default/realign.json b/examples/default/realign.json
index 5cf084fde..9ba135605 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -33,7 +33,7 @@
         "wasInformedBy" : "realign",
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:0",
-        "used" : "TODO",
+        "used" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
         "attributes" : [
           ["eoptions.cost_fun", "nmi"],
           ["sep", [4, 2]]

From 09c4c0d02140bb587b8c34b36a9569934bf7a8a8 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 23 Mar 2020 13:47:02 +0100
Subject: [PATCH 008/137] gitignore graphviz files

---
 .gitignore | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/.gitignore b/.gitignore
index f29b5aa1b..ac84c9af9 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,6 +1,6 @@
 **/*.hdr
 **/*.img
-**/*.gv*
+*.gv*
 settings.json
 **/*.gz
 .datalad

From 381c62991ce88d90422ab4be54198e0cd9f2d952 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 23 Mar 2020 13:47:50 +0100
Subject: [PATCH 009/137] [MV] context local URIs to remote URIs

---
 examples/default/copies.json  | 2 +-
 examples/default/realign.json | 2 +-
 2 files changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index 002adcad1..203d5be9d 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -1,5 +1,5 @@
 {
-    "@context": "$HOME/BIDS-prov/context.json",
+    "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
     "@id": "http://example.org/ds00000X",
     "generatedAt": "2020-03-10T10:00:00",
     "wasGeneratedBy": {
diff --git a/examples/default/realign.json b/examples/default/realign.json
index 9ba135605..1dbb4d572 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -1,5 +1,5 @@
 {
-    "@context": "$HOME/BIDS-prov/context.json",
+    "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
     "@id": "http://example.org/ds00000X",
     "generatedAt": "2020-03-10T10:00:00",
     "wasGeneratedBy": {

From d69bae1392b0959bae7f3c58533040c0476d47eb Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 23 Mar 2020 13:50:52 +0100
Subject: [PATCH 010/137] realign.json more infos on SPM

---
 examples/default/realign.json | 6 +++++-
 1 file changed, 5 insertions(+), 1 deletion(-)

diff --git a/examples/default/realign.json b/examples/default/realign.json
index 1dbb4d572..fc25ccd4a 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -29,7 +29,11 @@
       {
         "@id" : "coreg.estimate",
         "@type" : "prov:Activity",
-        "wasAssociatedWith" : "SPM",
+        "wasAssociatedWith" : {
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        },
         "wasInformedBy" : "realign",
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:0",

From 65d1874c02eaf62cf23ee845f5c2680790a11a76 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 12:50:00 +0100
Subject: [PATCH 011/137] [ADD] copy activity & explicit exp_dit in paths

---
 context.json                  |  8 ++++----
 examples/default/copies.json  | 20 ++++++++++++++++----
 examples/default/realign.json |  8 ++++++--
 3 files changed, 26 insertions(+), 10 deletions(-)

diff --git a/context.json b/context.json
index b4cf69927..ad7b80411 100644
--- a/context.json
+++ b/context.json
@@ -2,10 +2,6 @@
     "bids" : "https://some/url/to/bids_context.jsonld",
     "prov" : "http://www.w3.org/ns/prov#",
     "xsd": "http://www.w3.org/2001/XMLSchema#",
-    "exp_dir" : {
-      "@id" : "exp_dir",
-      "prov:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm-default/ds011/"
-    },
     "startedAtTime" : {
       "@id": "http://www.w3.org/ns/prov#startedAtTime",
       "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
@@ -18,6 +14,10 @@
       "@id": "http://www.w3.org/ns/prov#wasGeneratedBy",
       "@type": "http://www.w3.org/2001/XMLSchema#Entity"
     },
+    "wasAttributedTo" : {
+      "@id": "http://www.w3.org/ns/prov#wasAttributedTo",
+      "@type": "http://www.w3.org/2001/XMLSchema#Agent"
+    },
     "wasAssociatedWith" : {
       "@id": "http://www.w3.org/ns/prov#wasAssociatedWith",
       "@type": "http://www.w3.org/2001/XMLSchema#Agent"
diff --git a/examples/default/copies.json b/examples/default/copies.json
index 203d5be9d..3018a637f 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -13,7 +13,19 @@
       },
     "@graph": [
       {
-        "@id": "exp_dir:sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "@id" : "copy",
+        "@type" : "prov:Activity",
+        "wasAssociatedWith" : {
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        },
+        "startedAtTime" : "2019-10-10T10:00:00",
+        "endedAtTime" : "2019-10-10T10:00:00",
+        "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz"
+      },
+      {
+        "@id": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
         "@type": "bids:gzip_file",
         "value": "??",
         "generatedAt": "2019-10-10T10:00:00"
@@ -21,9 +33,9 @@
       {
         "@id" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
         "@type" : "bids:nifti_file",
-        "derivedFrom" : "exp_dir:sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-        "attributedTo" : "bids:SPM",
-        "generatedBy" : "copy_to"
+        "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "attributedTo" : "SPM",
+        "wasGeneratedBy" : "copy"
       }
     ]
   }
diff --git a/examples/default/realign.json b/examples/default/realign.json
index fc25ccd4a..11ef6322c 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -11,6 +11,10 @@
                                "hadRole": "Funding"
                              }
       },
+      "exp_dir" : {
+        "@id" : "exp_dir",
+        "prov:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/"
+      },
     "@graph": [
       {
         "@id" : "realign",
@@ -18,7 +22,7 @@
         "wasAssociatedWith" : "estwrite",
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:00:00",
-        "used" : ":exp_dir/PREPROCESSING/ANATOMICAL/*",
+        "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
         "attributes" : [
           ["eoptions.quality", 0.9],
           ["eoptions.sep", 4],
@@ -37,7 +41,7 @@
         "wasInformedBy" : "realign",
         "startedAtTime" : "10/10/2020 00:00:00",
         "endedAtTime" : "10/10/2020 01:0",
-        "used" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
+        "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
         "attributes" : [
           ["eoptions.cost_fun", "nmi"],
           ["sep", [4, 2]]

From 4b0a851228fb646faeb6aed068aee5eb9ea4bfdf Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 13:13:47 +0100
Subject: [PATCH 012/137] [ADD] entity link realign and coreg

---
 examples/default/realign.json | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/examples/default/realign.json b/examples/default/realign.json
index 11ef6322c..c3a05da5a 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -46,6 +46,17 @@
           ["eoptions.cost_fun", "nmi"],
           ["sep", [4, 2]]
         ]
+      },
+      {
+        "@id" : "realign_output",
+        "@type" : "prov:Entity",
+        "wasAttributedTo" : {
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        },
+        "wasGeneratedBy" : "realign",
+        "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*"
       }
     ]
   }

From 4b8efca8fae5379070a673e2db58744048b15105 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 15:40:48 +0100
Subject: [PATCH 013/137] [RM] auditory fmri for now, may restore this later

---
 examples/auditory_fmri/coregistration.json | 40 -------------
 examples/auditory_fmri/realignement.json   | 68 ----------------------
 2 files changed, 108 deletions(-)
 delete mode 100644 examples/auditory_fmri/coregistration.json
 delete mode 100644 examples/auditory_fmri/realignement.json

diff --git a/examples/auditory_fmri/coregistration.json b/examples/auditory_fmri/coregistration.json
deleted file mode 100644
index 1c4799b71..000000000
--- a/examples/auditory_fmri/coregistration.json
+++ /dev/null
@@ -1,40 +0,0 @@
-{
-  "@context": "https://some/url/to/bids_context.jsonld",
-  "@id": "http://example.org/ds00000X",
-  "generatedAt": "2020-01-10T10:00:00",
-  "wasGeneratedBy": {
-      "@id": "INRIA",
-      "@type": "Project",
-      "startedAt": "2016-09-01T10:00:00",
-      "wasAssociatedWith": { "@id": "NIH",
-                             "@type": "Organization",
-                             "hadRole": "Funding"
-                           }
-    },
-  "@graph": [
-    {
-      "@id": "$HOME/neuro_epx0/fM00223/meanfM0023_016.img",
-      "@type": "Entity",
-      "@subtype" : "Metadata??",
-      "value": "1222222222222...",
-      "derivedFrom": "$HOME/neuro_exp0/meanfM0023_016.img",
-      "attributedTo": "SPM",
-      "generatedBy" : "Realignement",
-      "generatedAt": "2019-01-10T10:00:00"
-    },
-    {
-      "@id": "Realignement",
-      "@type": "Activity",
-      "used": "$HOME/neuro_exp0/fM00223/fM00223_0*.img",
-      "wasAssociatedWith": "SPM",
-      "startTime": "2019-01-10T10:00:00",
-      "endTime": "2019-01-10T11:00:00"
-    },
-    {
-      "@id": "SPM",
-      "@type": "Agent",
-      "@subtype" : "SoftwareAgent",
-      "version": "12.0.0"
-    }
-  ]
-}
diff --git a/examples/auditory_fmri/realignement.json b/examples/auditory_fmri/realignement.json
deleted file mode 100644
index ecedaff59..000000000
--- a/examples/auditory_fmri/realignement.json
+++ /dev/null
@@ -1,68 +0,0 @@
-{
-  "@context": "https://some/url/to/bids_context.jsonld",
-  "@id": "http://example.org/ds00000X",
-  "generatedAt": "2020-01-10T10:00:00",
-  "wasGeneratedBy": {
-      "@id": "INRIA",
-      "@type": "Project",
-      "startedAt": "2016-09-01T10:00:00",
-      "wasAssociatedWith": { "@id": "NIH",
-                             "@type": "Organization",
-                             "hadRole": "Funding"
-                           }
-    },
-  "@graph": [
-    {
-      "@id": "$HOME/neuro_epx0/fM00223/fM00223_0*.hdr",
-      "@type": "Entity",
-      "@subtype" : "ImageHeader",
-      "value": "1441231221ab4534...",
-      "derivedFrom": "$HOME/neuro_exp/fM00223/fM00223_0*.img",
-      "attributedTo": "SPM",
-      "generatedBy" : "Realignement",
-      "generatedAt": "2019-01-10T10:00:00"
-    },
-    {
-      "@id": "$HOME/neuro_epx0/fM00223/rp_fm00223_016.txt",
-      "@type": "Entity",
-      "@subtype" : "Metadata??",
-      "value": "1222222222222...",
-      "derivedFrom": "$HOME/neuro_exp/fM00223/fM00223_0*.img",
-      "attributedTo": "SPM",
-      "generatedBy" : "Realignement",
-      "generatedAt": "2019-01-10T10:00:00"
-    },
-    {
-      "prov@location" : "", 
-      "@id": "$HOME/neuro_epx0/fM00223/meanfM0023_016.txt",
-      "@type": "Entity",
-      "@subtype" : "Image",
-      "sha": "1222333...",
-      "derivedFrom": "$HOME/neuro_exp/fM00223/fM00223_0*.img",
-      "attributedTo": "SPM",
-      "generatedBy" : "Realignement",
-      "generatedAt": "2019-01-10T10:00:00"
-    },
-    {
-      "@id": "Realignement",
-      "@type": "Activity",
-      "used": "$HOME/neuro_exp/fM00223/fM00223_0*.img",
-      "associatedWith": "SPM",
-      "startTime": "2019-01-10T10:00:00",
-      "endTime": "2019-01-10T11:00:00"
-    },
-    {
-      "@id": "SPM",
-      "@type": "Agent",
-      "@subtype" : "SoftwareAgent",
-      "version": "12.0.0" 
-    },
-    {
-      "@id": "realign.mat",
-      "@type": "Agent",
-      "@subtype" : "CommandLineInterface",
-      "version": "???",
-      "actedOnBehalfOf": "SPM"
-    }
-  ]
-}

From 55e6434611a45194ca5661d18601beadef002004 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 15:52:39 +0100
Subject: [PATCH 014/137] [ADD] type indexing for spm_default

---
 examples/default/copies.json  |  83 +++++++++++-----------
 examples/default/realign.json | 125 ++++++++++++++++++----------------
 2 files changed, 109 insertions(+), 99 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index 3018a637f..6c1541bb6 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -1,42 +1,47 @@
 {
-    "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
-    "@id": "http://example.org/ds00000X",
-    "generatedAt": "2020-03-10T10:00:00",
-    "wasGeneratedBy": {
-        "@id": "INRIA",
-        "@type": "Project",
-        "startedAt": "2016-09-01T10:00:00",
-        "wasAssociatedWith": { "@id": "NIH",
-                               "@type": "Organization",
-                               "hadRole": "Funding"
-                             }
-      },
-    "@graph": [
-      {
-        "@id" : "copy",
-        "@type" : "prov:Activity",
-        "wasAssociatedWith" : {
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
+  "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+      "@id": "INRIA",
+      "@type": "Project",
+      "startedAt": "2016-09-01T10:00:00",
+      "wasAssociatedWith": { "@id": "NIH",
+                              "@type": "Organization",
+                              "hadRole": "Funding"
+                            }
+    },
+  "@graph": [
+    {
+      "prov:Activity" : [
+        {
+          "@id" : "copy",
+          "wasAssociatedWith" : {
+            "@type" : "prov:SoftwareAgent",
+            "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+            "label" : "SPM" 
+          },
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz"
+        }
+      ],
+      "prov:Entity" : [
+        {
+          "@id": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+          "@type": "bids:gzip_file",
+          "value": "??",
+          "generatedAt": "2019-10-10T10:00:00"
         },
-        "startedAtTime" : "2019-10-10T10:00:00",
-        "endedAtTime" : "2019-10-10T10:00:00",
-        "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz"
-      },
-      {
-        "@id": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-        "@type": "bids:gzip_file",
-        "value": "??",
-        "generatedAt": "2019-10-10T10:00:00"
-      },
-      {
-        "@id" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
-        "@type" : "bids:nifti_file",
-        "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-        "attributedTo" : "SPM",
-        "wasGeneratedBy" : "copy"
-      }
-    ]
-  }
+        {
+          "@id" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
+          "@type" : "bids:nifti_file",
+          "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+          "attributedTo" : "SPM",
+          "wasGeneratedBy" : "copy"
+        }
+      ]
+    }
+  ]
+}
   
\ No newline at end of file
diff --git a/examples/default/realign.json b/examples/default/realign.json
index c3a05da5a..d94cb2542 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -1,62 +1,67 @@
 {
-    "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
-    "@id": "http://example.org/ds00000X",
-    "generatedAt": "2020-03-10T10:00:00",
-    "wasGeneratedBy": {
-        "@id": "INRIA",
-        "@type": "Project",
-        "startedAt": "2016-09-01T10:00:00",
-        "wasAssociatedWith": { "@id": "NIH",
-                               "@type": "Organization",
-                               "hadRole": "Funding"
-                             }
-      },
-      "exp_dir" : {
-        "@id" : "exp_dir",
-        "prov:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/"
-      },
-    "@graph": [
-      {
-        "@id" : "realign",
-        "@type" : "prov:Activity",
-        "wasAssociatedWith" : "estwrite",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:00:00",
-        "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
-        "attributes" : [
-          ["eoptions.quality", 0.9],
-          ["eoptions.sep", 4],
-          ["roptions.which", [0, 1]],
-          ["roptions.interp", 4]
-        ]
-      },
-      {
-        "@id" : "coreg.estimate",
-        "@type" : "prov:Activity",
-        "wasAssociatedWith" : {
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
+  "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+      "@id": "INRIA",
+      "@type": "Project",
+      "startedAt": "2016-09-01T10:00:00",
+      "wasAssociatedWith": { "@id": "NIH",
+                              "@type": "Organization",
+                              "hadRole": "Funding"
+                            }
+    },
+    "exp_dir" : {
+      "@id" : "exp_dir",
+      "prov:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/"
+    },
+  "@graph": [
+    {
+      "prov:Activity" : [
+        {
+          "@id" : "realign",
+          "wasAssociatedWith" : "estwrite",
+          "startedAtTime" : "10/10/2020 00:00:00",
+          "endedAtTime" : "10/10/2020 01:00:00",
+          "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
+          "attributes" : [
+            ["eoptions.quality", 0.9],
+            ["eoptions.sep", 4],
+            ["roptions.which", [0, 1]],
+            ["roptions.interp", 4]
+          ]
         },
-        "wasInformedBy" : "realign",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:0",
-        "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-        "attributes" : [
-          ["eoptions.cost_fun", "nmi"],
-          ["sep", [4, 2]]
-        ]
-      },
-      {
-        "@id" : "realign_output",
-        "@type" : "prov:Entity",
-        "wasAttributedTo" : {
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
-        },
-        "wasGeneratedBy" : "realign",
-        "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*"
-      }
-    ]
-  }
+        {
+          "@id" : "coreg.estimate",
+          "wasAssociatedWith" : {
+              "@type" : "prov:SoftwareAgent",
+              "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+              "label" : "SPM"
+            },
+            "wasInformedBy" : "realign",
+            "startedAtTime" : "10/10/2020 00:00:00",
+            "endedAtTime" : "10/10/2020 01:0",
+            "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
+            "attributes" : [
+              ["eoptions.cost_fun", "nmi"],
+              ["sep", [4, 2]]
+            ]
+          }
+      ]
+    },
+    {
+      "prov:Entity" : [
+        {
+          "@id" : "realign_output",
+          "wasAttributedTo" : {
+            "@type" : "prov:SoftwareAgent",
+            "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+            "label" : "SPM" 
+          },
+          "wasGeneratedBy" : "realign",
+          "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*"
+        }
+      ]
+    }
+  ]
+}

From af26bec5cb669e51b8616842698e06e3de0a6869 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 16:58:59 +0100
Subject: [PATCH 015/137] [RM] misleading references to bids namespace

---
 examples/default/copies.json | 2 --
 1 file changed, 2 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index 6c1541bb6..7444d91f8 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -29,13 +29,11 @@
       "prov:Entity" : [
         {
           "@id": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-          "@type": "bids:gzip_file",
           "value": "??",
           "generatedAt": "2019-10-10T10:00:00"
         },
         {
           "@id" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
-          "@type" : "bids:nifti_file",
           "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
           "attributedTo" : "SPM",
           "wasGeneratedBy" : "copy"

From ff8a938587bd7b0481ccd4e45cd2e8e5dab69d71 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 17:00:19 +0100
Subject: [PATCH 016/137] [RM] link to bids in context

---
 context.json | 1 -
 1 file changed, 1 deletion(-)

diff --git a/context.json b/context.json
index ad7b80411..b17a1c180 100644
--- a/context.json
+++ b/context.json
@@ -1,5 +1,4 @@
 {
-    "bids" : "https://some/url/to/bids_context.jsonld",
     "prov" : "http://www.w3.org/ns/prov#",
     "xsd": "http://www.w3.org/2001/XMLSchema#",
     "startedAtTime" : {

From dc07d4cf36d1ffd2694461864d394f396c24c6dc Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 17:23:44 +0100
Subject: [PATCH 017/137] [remove] exp_dir definition

---
 examples/default/copies.json  | 13 ++++++++-----
 examples/default/realign.json |  7 +------
 2 files changed, 9 insertions(+), 11 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index 7444d91f8..b02b709f7 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -1,5 +1,5 @@
 {
-  "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
@@ -15,8 +15,10 @@
     {
       "prov:Activity" : [
         {
-          "@id" : "copy",
+          "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
+          "label" : "copy",
           "wasAssociatedWith" : {
+            "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
             "@type" : "prov:SoftwareAgent",
             "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
             "label" : "SPM" 
@@ -28,12 +30,13 @@
       ],
       "prov:Entity" : [
         {
-          "@id": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-          "value": "??",
+          "@id" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+          "prov:atLocation": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
           "generatedAt": "2019-10-10T10:00:00"
         },
         {
-          "@id" : "exp_dir:PREPROCESSING/FUNCTIONAL/",
+          "@id" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+          "prob:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
           "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
           "attributedTo" : "SPM",
           "wasGeneratedBy" : "copy"
diff --git a/examples/default/realign.json b/examples/default/realign.json
index d94cb2542..2f22ef014 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -1,5 +1,5 @@
 {
-  "@context": "https://github.com/Inria-Visages/blob/master/BIDS-prov/context.json",
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
@@ -11,10 +11,6 @@
                               "hadRole": "Funding"
                             }
     },
-    "exp_dir" : {
-      "@id" : "exp_dir",
-      "prov:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/"
-    },
   "@graph": [
     {
       "prov:Activity" : [
@@ -38,7 +34,6 @@
               "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
               "label" : "SPM"
             },
-            "wasInformedBy" : "realign",
             "startedAtTime" : "10/10/2020 00:00:00",
             "endedAtTime" : "10/10/2020 01:0",
             "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",

From c1630a79404ca040c153778b990c9f2767f52bc8 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Tue, 24 Mar 2020 17:28:50 +0100
Subject: [PATCH 018/137] type indexing agents in copies.json

---
 examples/default/copies.json | 15 +++++++++------
 1 file changed, 9 insertions(+), 6 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index b02b709f7..97cc72797 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -13,16 +13,19 @@
     },
   "@graph": [
     {
+      "prov:SoftwareAgent" : [
+        {
+          "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        }
+      ],
       "prov:Activity" : [
         {
           "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
           "label" : "copy",
-          "wasAssociatedWith" : {
-            "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
-            "@type" : "prov:SoftwareAgent",
-            "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-            "label" : "SPM" 
-          },
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
           "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz"

From c5317c0929108df733d9bc1c03cd8ddf4bf55f18 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 27 Mar 2020 15:35:55 +0100
Subject: [PATCH 019/137] define SPM Agent in realign.json

---
 examples/default/realign.json | 32 ++++++++++++++++++--------------
 1 file changed, 18 insertions(+), 14 deletions(-)

diff --git a/examples/default/realign.json b/examples/default/realign.json
index 2f22ef014..d2b96b0c0 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -13,10 +13,18 @@
     },
   "@graph": [
     {
+      "prov:SoftwareAgent" : [
+        {
+          "@id" : "653467354367537gjsfhdgfhfdsjkn",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        }
+      ],
       "prov:Activity" : [
         {
           "@id" : "realign",
-          "wasAssociatedWith" : "estwrite",
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
           "startedAtTime" : "10/10/2020 00:00:00",
           "endedAtTime" : "10/10/2020 01:00:00",
           "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
@@ -29,19 +37,15 @@
         },
         {
           "@id" : "coreg.estimate",
-          "wasAssociatedWith" : {
-              "@type" : "prov:SoftwareAgent",
-              "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-              "label" : "SPM"
-            },
-            "startedAtTime" : "10/10/2020 00:00:00",
-            "endedAtTime" : "10/10/2020 01:0",
-            "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-            "attributes" : [
-              ["eoptions.cost_fun", "nmi"],
-              ["sep", [4, 2]]
-            ]
-          }
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+          "startedAtTime" : "10/10/2020 00:00:00",
+          "endedAtTime" : "10/10/2020 01:0",
+          "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
+          "attributes" : [
+            ["eoptions.cost_fun", "nmi"],
+            ["sep", [4, 2]]
+          ]
+        }
       ]
     },
     {

From 7fea7eb8d94b273d531b7b95e60e35ab59f6e9b1 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 27 Mar 2020 17:39:10 +0100
Subject: [PATCH 020/137] instatiate semgent activity in realign.json

---
 examples/default/realign.json | 47 +++++++++++++++++++++++++++--------
 1 file changed, 37 insertions(+), 10 deletions(-)

diff --git a/examples/default/realign.json b/examples/default/realign.json
index d2b96b0c0..40311a7c4 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -31,19 +31,42 @@
           "attributes" : [
             ["eoptions.quality", 0.9],
             ["eoptions.sep", 4],
+            ["eoptions.fwhm", 5],
+            ["eoptions.rtm", 1],
+            ["eoptions.interp", 2],
+            ["eoptions.wrap", [0, 0, 0]],
+            ["eoptions.weight", ""],
             ["roptions.which", [0, 1]],
-            ["roptions.interp", 4]
+            ["roptions.wrap", [0, 0, 0]],
+            ["roptions.mask", 1],
+            ["roptions.prefix", "r"]
           ]
         },
         {
-          "@id" : "coreg.estimate",
+          "@id" : "coreg",
           "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
           "startedAtTime" : "10/10/2020 00:00:00",
           "endedAtTime" : "10/10/2020 01:0",
           "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
           "attributes" : [
             ["eoptions.cost_fun", "nmi"],
-            ["sep", [4, 2]]
+            ["eoptions.sep", [4, 2]],
+            ["eoptions.tol", [0.02, 0.02, 0.02, 0.001, 0.001, 0.001, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001]],
+            ["eoptions.fhwm", [0, 1]]
+          ]
+        },
+        {
+          "@id" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "label" : "segment",
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+          "startedAtTime" : "10/10/2020 00:00:00",
+          "endedAtTime" : "10/10/2020 01:09",
+          "used" : "TODO",
+          "attributes" : [
+            ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
+            ["tissue1.ngaus", 1],
+            ["tissue1.native", [1, 0]],
+            ["tissue1.warped", [0, 1]]
           ]
         }
       ]
@@ -51,14 +74,18 @@
     {
       "prov:Entity" : [
         {
-          "@id" : "realign_output",
-          "wasAttributedTo" : {
-            "@type" : "prov:SoftwareAgent",
-            "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-            "label" : "SPM" 
-          },
+          "@id" : "653467354367fdskfdsiojfosidjf",
+          "wasAttributedTo" : "SPM",
           "wasGeneratedBy" : "realign",
-          "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*"
+          "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
+          "label" : "realign_output"
+        },
+        {
+          "@id": "653467354367zerklzeeez",
+          "wasAttributedTo" : "SPM",
+          "wasGeneratedBy" : "segment",
+          "derivedFrom" : "???",
+          "label" : "tissue1"
         }
       ]
     }

From 0c4333183c99535614190a1d677a43b2c9f87fad Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 3 Apr 2020 16:16:24 +0200
Subject: [PATCH 021/137] mutliple copies && ids instead of labels

---
 context.json                  |  1 +
 examples/default/copies.json  | 39 +++++++++++++++++++++------
 examples/default/realign.json | 50 +++++++----------------------------
 3 files changed, 41 insertions(+), 49 deletions(-)

diff --git a/context.json b/context.json
index b17a1c180..50c043ea9 100644
--- a/context.json
+++ b/context.json
@@ -1,6 +1,7 @@
 {
     "prov" : "http://www.w3.org/ns/prov#",
     "xsd": "http://www.w3.org/2001/XMLSchema#",
+    "label": "http://www.w3.org/2000/01/rdf-schema#label",
     "startedAtTime" : {
       "@id": "http://www.w3.org/ns/prov#startedAtTime",
       "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
diff --git a/examples/default/copies.json b/examples/default/copies.json
index 97cc72797..aafd17738 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -22,30 +22,53 @@
         }
       ],
       "prov:Activity" : [
+        {
+          "@id" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
+          "label" : "copy anat",
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+        },
         {
           "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
-          "label" : "copy",
+          "label" : "copy func",
           "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz"
+          "used" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd"
         }
       ],
       "prov:Entity" : [
+        {
+          "@id" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+          "label" : "anat raw",
+          "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/anat/sub-01_T1w.nii.gz",
+          "generatedAt": "2019-10-10T10:00:00"
+        },
         {
           "@id" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
-          "prov:atLocation": "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+          "label" : "func raw",
+          "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
           "generatedAt": "2019-10-10T10:00:00"
         },
+        {
+          "@id" : "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
+          "label" : "anat unzipped",
+          "prov:atLocation" : "??????",
+          "derivedFrom" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+          "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
+          "wasGeneratedBy" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa"
+        },
         {
           "@id" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-          "prob:atLocation" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-          "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-          "attributedTo" : "SPM",
-          "wasGeneratedBy" : "copy"
+          "label" : "func unzipped",
+          "prov:atLocation" : "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
+          "derivedFrom" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+          "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
+          "wasGeneratedBy" : "653467354367537gjsfhdgfhjsf67345523efdghs"
         }
       ]
     }
   ]
 }
-  
\ No newline at end of file
diff --git a/examples/default/realign.json b/examples/default/realign.json
index 40311a7c4..9357ba187 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -23,11 +23,12 @@
       ],
       "prov:Activity" : [
         {
-          "@id" : "realign",
+          "@id" : "fdskjfnskjndflqkjndl",
+          "label" : "realign",
           "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
           "startedAtTime" : "10/10/2020 00:00:00",
           "endedAtTime" : "10/10/2020 01:00:00",
-          "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
+          "used" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
           "attributes" : [
             ["eoptions.quality", 0.9],
             ["eoptions.sep", 4],
@@ -41,51 +42,18 @@
             ["roptions.mask", 1],
             ["roptions.prefix", "r"]
           ]
-        },
-        {
-          "@id" : "coreg",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-          "startedAtTime" : "10/10/2020 00:00:00",
-          "endedAtTime" : "10/10/2020 01:0",
-          "used" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-          "attributes" : [
-            ["eoptions.cost_fun", "nmi"],
-            ["eoptions.sep", [4, 2]],
-            ["eoptions.tol", [0.02, 0.02, 0.02, 0.001, 0.001, 0.001, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001]],
-            ["eoptions.fhwm", [0, 1]]
-          ]
-        },
-        {
-          "@id" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "label" : "segment",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-          "startedAtTime" : "10/10/2020 00:00:00",
-          "endedAtTime" : "10/10/2020 01:09",
-          "used" : "TODO",
-          "attributes" : [
-            ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
-            ["tissue1.ngaus", 1],
-            ["tissue1.native", [1, 0]],
-            ["tissue1.warped", [0, 1]]
-          ]
         }
       ]
     },
     {
       "prov:Entity" : [
         {
-          "@id" : "653467354367fdskfdsiojfosidjf",
-          "wasAttributedTo" : "SPM",
-          "wasGeneratedBy" : "realign",
-          "derivedFrom" : "$HOME/BIDS-prov/nidm-results-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL/*",
-          "label" : "realign_output"
-        },
-        {
-          "@id": "653467354367zerklzeeez",
-          "wasAttributedTo" : "SPM",
-          "wasGeneratedBy" : "segment",
-          "derivedFrom" : "???",
-          "label" : "tissue1"
+          "@id" : "fdsjnflqj12381U39fdskjnf",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "fdskjfnskjndflqkjndl",
+          "derivedFrom" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+          "label" : "Realigned func",
+          "prov:atLocation" : "TODO"
         }
       ]
     }

From b13788ffc27a06143491210224ec79c1fd21c935 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 3 Apr 2020 17:13:28 +0200
Subject: [PATCH 022/137] add coreg, segment & normalise

---
 examples/default/coreg_and_segment.json | 148 ++++++++++++++++++++++++
 examples/default/normalise.json         |  63 ++++++++++
 2 files changed, 211 insertions(+)
 create mode 100644 examples/default/coreg_and_segment.json
 create mode 100644 examples/default/normalise.json

diff --git a/examples/default/coreg_and_segment.json b/examples/default/coreg_and_segment.json
new file mode 100644
index 000000000..69aff890a
--- /dev/null
+++ b/examples/default/coreg_and_segment.json
@@ -0,0 +1,148 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+  "@graph": [
+    {
+      "prov:SoftwareAgent" : [
+        {
+          "@id" : "653467354367537gjsfhdgfhfdsjkn",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        }
+      ],
+      "prov:Activity" : 
+      [
+        {
+          "@id" : "fdsljfnqkljfdklqsjdfq",
+          "label" : "coregister",
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+          "startedAtTime" : "10/10/2020 00:00:00",
+          "endedAtTime" : "10/10/2020 01:0",
+          "used" : "fdsjnflqj12381U39fdskjnf",
+          "attributes" : [
+            ["eoptions.cost_fun", "nmi"],
+            ["eoptions.sep", [4, 2]],
+            ["eoptions.tol", [0.02, 0.02, 0.02, 0.001, 0.001, 0.001, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001]],
+            ["eoptions.fhwm", [0, 1]]
+          ]
+        },
+        {
+          "@id" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "label" : "segment",
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+          "startedAtTime" : "10/10/2020 00:00:00",
+          "endedAtTime" : "10/10/2020 01:09",
+          "used" : "TODO",
+          "attributes" : [
+            ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
+            ["tissue1.ngaus", 1],
+            ["tissue1.native", [1, 0]],
+            ["tissue1.warped", [0, 1]],
+            ["tissue2.tpm", "$HOME/spm12/tpm/TPM.nii,2"],
+            ["tissue2.ngaus", 1],
+            ["tissue2.native", [1, 0]],
+            ["tissue2.warped", [0, 1]],
+            ["tissue3.tpm", "$HOME/spm12/tpm/TPM.nii,3"],
+            ["tissue3.ngaus", 2],
+            ["tissue3.native", [1, 0]],
+            ["tissue3.warped", [0, 1]],
+            ["tissue4.tpm", "$HOME/spm12/tpm/TPM.nii,4"],
+            ["tissue4.ngaus", 3],
+            ["tissue4.native", [1, 0]],
+            ["tissue4.warped", [0, 1]],
+            ["tissue5.tpm", "$HOME/spm12/tpm/TPM.nii,5"],
+            ["tissue5.ngaus", 4],
+            ["tissue5.native", [1, 0]],
+            ["tissue5.warped", [0, 1]],
+            ["tissue6.tpm", "$HOME/spm12/tpm/TPM.nii,6"],
+            ["tissue6.ngaus", 2],
+            ["tissue6.native", [0, 0]],
+            ["tissue6.warped", [0, 1]]
+          ]
+        }
+      ]
+    },
+    {
+      "prov:Entity" : [
+        {
+          "@id" : "fsiudfqsoi938409283409fdskj",
+          "label" : ".nii updated header",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "fdsljfnqkljfdklqsjdfq",
+          "derivedFrom" : [
+            "fdsjnflqj12381U39fdskjnf",
+            "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
+          ],
+          "prov:atLocation" : "TODO"
+        },
+        {
+          "@id" : "102983fsdkjnfskjdfnks129",
+          "label" : "anat bias corrected",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/"
+        },
+        {
+          "@id" : "fksjndflkqsjnf1290389",
+          "label" : "tissue1",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,1"
+        },
+        {
+          "@id" : "dsfklsnqfjkdlnqs132",
+          "label" : "tissue2",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,2"
+        },
+        {
+          "@id" : "fdsqljnflqsjfnd1203",
+          "label" : "tissue3",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,3"
+        },
+        {
+          "@id" : "fdsqlnfqksjn1290321093",
+          "label" : "tissue4",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,4"
+        },
+        {
+          "@id" : "fjkn120932109fdsjk",
+          "label" : "tisue5",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,5"
+        },
+        {
+          "@id" : "1903809128fshbfqqcbcbc",
+          "label" : "tissue6",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,6"
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file
diff --git a/examples/default/normalise.json b/examples/default/normalise.json
new file mode 100644
index 000000000..3e0bf40af
--- /dev/null
+++ b/examples/default/normalise.json
@@ -0,0 +1,63 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+  "@graph": 
+  {
+    "prov:SoftwareAgent" : [
+      {
+          "@id" : "653467354367537gjsfhdgfhfdsjkn",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "fsdknfsqkldf12238123818288",
+        "label" : "normalise func",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:00",
+        "used" : "fdsjnflqj12381U39fdskjnf",
+        "attributes" : []
+      },
+      {
+        "@id" : "fsdknfsqkld123980932",
+        "label" : "normalise anat",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:00",
+        "used" : "102983fsdkjnfskjdfnks129",
+        "attributes" : []
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "2378783298182821NDN",
+        "label" : "normalised func",
+        "prov:atLocation" : "func_normalised_location.nii",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "fsdknfsqkldf12238123818288",
+        "derivedFrom" : "fdsjnflqj12381U39fdskjnf"
+      },
+      {
+        "@id" : "12837873NDN",
+        "label" : "normalised anat",
+        "prov:atLocation" : "anat_normalised_location.nii",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "fsdknfsqkld123980932",
+        "derivedFrom" : "102983fsdkjnfskjdfnks129"
+      }
+    ]
+  }
+}
\ No newline at end of file

From e2d6f128cf0ef1f3a9ec042bcfef1ebb2c966ad2 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 6 Apr 2020 14:37:10 +0200
Subject: [PATCH 023/137] [ADD] .svg file for spm default

---
 examples/default/SPM default.svg | 1 +
 1 file changed, 1 insertion(+)
 create mode 100644 examples/default/SPM default.svg

diff --git a/examples/default/SPM default.svg b/examples/default/SPM default.svg
new file mode 100644
index 000000000..6487418e9
--- /dev/null
+++ b/examples/default/SPM default.svg	
@@ -0,0 +1 @@
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transform="matrix(0.05,0,0,0.05,0,0)" xlink:href="#ac"/><use transform="matrix(0.05,0,0,0.05,12,0)" xlink:href="#V"/><use transform="matrix(0.05,0,0,0.05,24,0)" xlink:href="#ad"/><use transform="matrix(0.05,0,0,0.05,38.95,0)" xlink:href="#x"/><use transform="matrix(0.05,0,0,0.05,43.95,0)" xlink:href="#ah"/><use transform="matrix(0.05,0,0,0.05,58.900000000000006,0)" xlink:href="#C"/><use transform="matrix(0.05,0,0,0.05,68.9,0)" xlink:href="#Q"/></g><g id="u"><use transform="matrix(0.05,0,0,0.05,0,0)" xlink:href="#A"/><use transform="matrix(0.05,0,0,0.05,5.95,0)" xlink:href="#B"/><use transform="matrix(0.05,0,0,0.05,15.949999999999998,0)" xlink:href="#Y"/><use transform="matrix(0.05,0,0,0.05,25.950000000000003,0)" xlink:href="#ag"/><use transform="matrix(0.05,0,0,0.05,35.95,0)" xlink:href="#A"/><use transform="matrix(0.05,0,0,0.05,41.900000000000006,0)" xlink:href="#Q"/><use transform="matrix(0.05,0,0,0.05,46.900000000000006,0)" xlink:href="#x"/><use transform="matrix(0.05,0,0,0.05,51.900000000000006,0)" xlink:href="#Y"/><use transform="matrix(0.05,0,0,0.05,61.900000000000006,0)" xlink:href="#F"/><use transform="matrix(0.05,0,0,0.05,71.9,0)" xlink:href="#G"/></g><g id="v"><use transform="matrix(0.05,0,0,0.05,0,0)" xlink:href="#Q"/><use transform="matrix(0.05,0,0,0.05,5,0)" xlink:href="#Z"/><use transform="matrix(0.05,0,0,0.05,15,0)" xlink:href="#A"/><use transform="matrix(0.05,0,0,0.05,20.95,0)" xlink:href="#B"/><use transform="matrix(0.05,0,0,0.05,30.950000000000003,0)" xlink:href="#ab"/><use transform="matrix(0.05,0,0,0.05,39.95,0)" xlink:href="#Z"/><use transform="matrix(0.05,0,0,0.05,49.95,0)" xlink:href="#ag"/><use transform="matrix(0.05,0,0,0.05,59.95,0)" xlink:href="#D"/><use transform="matrix(0.05,0,0,0.05,63.900000000000006,0)" xlink:href="#F"/><use transform="matrix(0.05,0,0,0.05,73.9,0)" xlink:href="#B"/><use transform="matrix(0.05,0,0,0.05,83.9,0)" xlink:href="#F"/></g><g id="w"><use transform="matrix(0.05,0,0,0.05,0,0)" xlink:href="#ac"/><use transform="matrix(0.05,0,0,0.05,12,0)" xlink:href="#V"/><use transform="matrix(0.05,0,0,0.05,24,0)" xlink:href="#ad"/></g></defs></g></svg>
\ No newline at end of file

From 3d6db8b9726d0925cfeb8a6345eb4a065683e2ae Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Mon, 6 Apr 2020 14:53:00 +0200
Subject: [PATCH 024/137] [ADD] smoothing on functional img

---
 examples/default/smooth.json | 52 ++++++++++++++++++++++++++++++++++++
 1 file changed, 52 insertions(+)
 create mode 100644 examples/default/smooth.json

diff --git a/examples/default/smooth.json b/examples/default/smooth.json
new file mode 100644
index 000000000..48c6b9184
--- /dev/null
+++ b/examples/default/smooth.json
@@ -0,0 +1,52 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+  "@graph": [
+    {
+      "prov:SoftwareAgent" : [
+        {
+          "@id" : "653467354367537gjsfhdgfhfdsjkn",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+          "label" : "SPM" 
+        }
+      ],
+      "prov:Activity" : [
+        {
+          "@id" : "smsmsmsmsmsmsmsm343",
+          "label" : "smooth",
+          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+          "startedAtTime" : "10/10/2020 00:02:00",
+          "endedAtTime" : "10/10/2020 01:02:00",
+          "used" : "2378783298182821NDN",
+          "attributes" : [
+              ["fwhm", [6, 6, 6]],
+              ["dtype", 0],
+              ["im", 0],
+              ["prefix", "s"]
+          ]
+        }
+      ],
+      "prov:Entity" : [
+        {
+          "@id" : "fjsdnfkjqnsldf129381290",
+          "label" : "Smoothed functional images",
+          "prov:atLocation" : "TODO",
+          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+          "wasGeneratedBy" : "smsmsmsmsmsmsmsm343",
+          "derivedFrom" : "2378783298182821NDN"
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file

From d150a5b7cce40591daba61cf17aff48d98a2ceb1 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 9 Apr 2020 11:03:59 +0200
Subject: [PATCH 025/137] [ADD] model estimation

---
 examples/default/model_and_contrast.json | 82 ++++++++++++++++++++++++
 1 file changed, 82 insertions(+)
 create mode 100644 examples/default/model_and_contrast.json

diff --git a/examples/default/model_and_contrast.json b/examples/default/model_and_contrast.json
new file mode 100644
index 000000000..27ca9bab9
--- /dev/null
+++ b/examples/default/model_and_contrast.json
@@ -0,0 +1,82 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+  "@graph": 
+  {
+    "prov:SoftwareAgent" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhfdsjkn",
+        "@type" : "prov:SoftwareAgent",
+        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "fsdfksnf1290883",
+        "label" : "model estimation",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "11/10/2020 00:02:00",
+        "endedAtTime" : "11/10/2020 01:02:00",
+        "used" : "fjsdnfkjqnsldf129381290",
+        "attributes" : [
+          ["timing.units", "secs"],
+          ["timing.RT", 2],
+          ["timing.fmri_t", "16"],
+          ["timing.fmri_t0", "8"],
+          ["sess.multi_reg", ""],
+          ["sess.hpf", 128],
+          ["bases.hrf.derivs", [0, 0]],
+          ["volt", 1],
+          ["global", "None"],
+          ["mthresh", 0.8],
+          ["mask", ""],
+          ["cvi", "AR(1)"]
+        ]
+      },
+      {
+        "@id" : "fslkjnfsqlkn1203829830912803210",
+        "label" : "contrast results",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "11/11/2020 00:02:00",
+        "endedAtTime" : "11/11/2020 01:02:00",
+        "used" : "sqj12391209UDJKSNDSJKDQSqsdjn",
+        "attributes" : [
+          ["write_residuals", 0],
+          ["method.Classical", 1],
+          ["tcon.weights", [1, 0]],
+          ["tcon.sessrep", "none"],
+          ["delete", 0]
+        ]
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "dsjknfdklqnl1029qkfndjknqsd",
+        "label" : "SPM.mat",
+        "prov:atLocation" : "TODO",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "fsdfksnf1290883",
+        "derivedFrom" : "fjsdnfkjqnsldf129381290"
+      },
+      {
+        "@id" : "sqj12391209UDJKSNDSJKDQSqsdjn",
+        "label" : "SPM.mat",
+        "prov:atLocation" : "TODO",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "fslkjnfsqlkn1203829830912803210",
+        "derivedFrom" : "dsjknfdklqnl1029qkfndjknqsd"
+      }
+    ]
+  }
+}
\ No newline at end of file

From f333a45d4931d2497f88c18e28f3b1cebaba853d Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 9 Apr 2020 11:21:55 +0200
Subject: [PATCH 026/137] add report to PDF

---
 examples/default/report.json | 44 ++++++++++++++++++++++++++++++++++++
 1 file changed, 44 insertions(+)
 create mode 100644 examples/default/report.json

diff --git a/examples/default/report.json b/examples/default/report.json
new file mode 100644
index 000000000..d9d248aad
--- /dev/null
+++ b/examples/default/report.json
@@ -0,0 +1,44 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+  "@graph": {
+    "prov:SoftwareAgent" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
+        "@type" : "prov:SoftwareAgent",
+        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "qkjsnd1283NDQSNKDQ",
+        "label" : "export to PDF",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs",
+        "startedAtTime" : "2019-10-10T10:00:00",
+        "endedAtTime" : "2019-10-10T10:00:00",
+        "used" : "djkfnslknlq1°1°°1°1°"
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "djkfnslknlq1°1°°1°1°",
+        "label" : "PDF",
+        "generatedAt" : "2019-10-10T10:00:00",
+        "derivedFrom" : "sqj12391209UDJKSNDSJKDQSqsdjn",
+        "wasGeneratedBy" : "qkjsnd1283NDQSNKDQ",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs"
+      }
+    ]
+  }
+}
\ No newline at end of file

From febf10a034e0f42a965367206b72ea4dee557f0a Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 9 Apr 2020 11:34:06 +0200
Subject: [PATCH 027/137] reformat json files, graph is just a dict

---
 examples/default/copies.json             | 118 +++++-----
 examples/default/coreg_and_segment.json  | 263 +++++++++++------------
 examples/default/model_and_contrast.json |   3 +-
 examples/default/normalise.json          |   3 +-
 examples/default/realign.json            |  90 ++++----
 examples/default/smooth.json             |  74 ++++---
 6 files changed, 268 insertions(+), 283 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index aafd17738..9dccf67d5 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -11,64 +11,62 @@
                               "hadRole": "Funding"
                             }
     },
-  "@graph": [
-    {
-      "prov:SoftwareAgent" : [
-        {
-          "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
-        }
-      ],
-      "prov:Activity" : [
-        {
-          "@id" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
-          "label" : "copy anat",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa"
-        },
-        {
-          "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
-          "label" : "copy func",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd"
-        }
-      ],
-      "prov:Entity" : [
-        {
-          "@id" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
-          "label" : "anat raw",
-          "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/anat/sub-01_T1w.nii.gz",
-          "generatedAt": "2019-10-10T10:00:00"
-        },
-        {
-          "@id" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
-          "label" : "func raw",
-          "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
-          "generatedAt": "2019-10-10T10:00:00"
-        },
-        {
-          "@id" : "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
-          "label" : "anat unzipped",
-          "prov:atLocation" : "??????",
-          "derivedFrom" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
-          "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
-          "wasGeneratedBy" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa"
-        },
-        {
-          "@id" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-          "label" : "func unzipped",
-          "prov:atLocation" : "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-          "derivedFrom" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
-          "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
-          "wasGeneratedBy" : "653467354367537gjsfhdgfhjsf67345523efdghs"
-        }
-      ]
-    }
-  ]
+  "@graph": {
+    "prov:SoftwareAgent" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
+        "@type" : "prov:SoftwareAgent",
+        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
+        "label" : "copy anat",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
+        "startedAtTime" : "2019-10-10T10:00:00",
+        "endedAtTime" : "2019-10-10T10:00:00",
+        "used" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+      },
+      {
+        "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
+        "label" : "copy func",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
+        "startedAtTime" : "2019-10-10T10:00:00",
+        "endedAtTime" : "2019-10-10T10:00:00",
+        "used" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd"
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+        "label" : "anat raw",
+        "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/anat/sub-01_T1w.nii.gz",
+        "generatedAt": "2019-10-10T10:00:00"
+      },
+      {
+        "@id" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+        "label" : "func raw",
+        "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
+        "generatedAt": "2019-10-10T10:00:00"
+      },
+      {
+        "@id" : "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
+        "label" : "anat unzipped",
+        "prov:atLocation" : "??????",
+        "derivedFrom" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+        "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
+        "wasGeneratedBy" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa"
+      },
+      {
+        "@id" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "label" : "func unzipped",
+        "prov:atLocation" : "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
+        "derivedFrom" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+        "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
+        "wasGeneratedBy" : "653467354367537gjsfhdgfhjsf67345523efdghs"
+      }
+    ]
+  }
 }
diff --git a/examples/default/coreg_and_segment.json b/examples/default/coreg_and_segment.json
index 69aff890a..1956aaa47 100644
--- a/examples/default/coreg_and_segment.json
+++ b/examples/default/coreg_and_segment.json
@@ -11,138 +11,133 @@
                             "hadRole": "Funding"
                           }
     },
-  "@graph": [
-    {
-      "prov:SoftwareAgent" : [
-        {
-          "@id" : "653467354367537gjsfhdgfhfdsjkn",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
-        }
-      ],
-      "prov:Activity" : 
-      [
-        {
-          "@id" : "fdsljfnqkljfdklqsjdfq",
-          "label" : "coregister",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-          "startedAtTime" : "10/10/2020 00:00:00",
-          "endedAtTime" : "10/10/2020 01:0",
-          "used" : "fdsjnflqj12381U39fdskjnf",
-          "attributes" : [
-            ["eoptions.cost_fun", "nmi"],
-            ["eoptions.sep", [4, 2]],
-            ["eoptions.tol", [0.02, 0.02, 0.02, 0.001, 0.001, 0.001, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001]],
-            ["eoptions.fhwm", [0, 1]]
-          ]
-        },
-        {
-          "@id" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "label" : "segment",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-          "startedAtTime" : "10/10/2020 00:00:00",
-          "endedAtTime" : "10/10/2020 01:09",
-          "used" : "TODO",
-          "attributes" : [
-            ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
-            ["tissue1.ngaus", 1],
-            ["tissue1.native", [1, 0]],
-            ["tissue1.warped", [0, 1]],
-            ["tissue2.tpm", "$HOME/spm12/tpm/TPM.nii,2"],
-            ["tissue2.ngaus", 1],
-            ["tissue2.native", [1, 0]],
-            ["tissue2.warped", [0, 1]],
-            ["tissue3.tpm", "$HOME/spm12/tpm/TPM.nii,3"],
-            ["tissue3.ngaus", 2],
-            ["tissue3.native", [1, 0]],
-            ["tissue3.warped", [0, 1]],
-            ["tissue4.tpm", "$HOME/spm12/tpm/TPM.nii,4"],
-            ["tissue4.ngaus", 3],
-            ["tissue4.native", [1, 0]],
-            ["tissue4.warped", [0, 1]],
-            ["tissue5.tpm", "$HOME/spm12/tpm/TPM.nii,5"],
-            ["tissue5.ngaus", 4],
-            ["tissue5.native", [1, 0]],
-            ["tissue5.warped", [0, 1]],
-            ["tissue6.tpm", "$HOME/spm12/tpm/TPM.nii,6"],
-            ["tissue6.ngaus", 2],
-            ["tissue6.native", [0, 0]],
-            ["tissue6.warped", [0, 1]]
-          ]
-        }
-      ]
-    },
-    {
-      "prov:Entity" : [
-        {
-          "@id" : "fsiudfqsoi938409283409fdskj",
-          "label" : ".nii updated header",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "fdsljfnqkljfdklqsjdfq",
-          "derivedFrom" : [
-            "fdsjnflqj12381U39fdskjnf",
-            "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
-          ],
-          "prov:atLocation" : "TODO"
-        },
-        {
-          "@id" : "102983fsdkjnfskjdfnks129",
-          "label" : "anat bias corrected",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/"
-        },
-        {
-          "@id" : "fksjndflkqsjnf1290389",
-          "label" : "tissue1",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,1"
-        },
-        {
-          "@id" : "dsfklsnqfjkdlnqs132",
-          "label" : "tissue2",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,2"
-        },
-        {
-          "@id" : "fdsqljnflqsjfnd1203",
-          "label" : "tissue3",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,3"
-        },
-        {
-          "@id" : "fdsqlnfqksjn1290321093",
-          "label" : "tissue4",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,4"
-        },
-        {
-          "@id" : "fjkn120932109fdsjk",
-          "label" : "tisue5",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,5"
-        },
-        {
-          "@id" : "1903809128fshbfqqcbcbc",
-          "label" : "tissue6",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-          "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-          "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,6"
-        }
-      ]
-    }
-  ]
+  "@graph": {
+    "prov:SoftwareAgent" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhfdsjkn",
+        "@type" : "prov:SoftwareAgent",
+        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "fdsljfnqkljfdklqsjdfq",
+        "label" : "coregister",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:0",
+        "used" : "fdsjnflqj12381U39fdskjnf",
+        "attributes" : [
+          ["eoptions.cost_fun", "nmi"],
+          ["eoptions.sep", [4, 2]],
+          ["eoptions.tol", [0.02, 0.02, 0.02, 0.001, 0.001, 0.001, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001]],
+          ["eoptions.fhwm", [0, 1]]
+        ]
+      },
+      {
+        "@id" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "label" : "segment",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:09",
+        "used" : "TODO",
+        "attributes" : [
+          ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
+          ["tissue1.ngaus", 1],
+          ["tissue1.native", [1, 0]],
+          ["tissue1.warped", [0, 1]],
+          ["tissue2.tpm", "$HOME/spm12/tpm/TPM.nii,2"],
+          ["tissue2.ngaus", 1],
+          ["tissue2.native", [1, 0]],
+          ["tissue2.warped", [0, 1]],
+          ["tissue3.tpm", "$HOME/spm12/tpm/TPM.nii,3"],
+          ["tissue3.ngaus", 2],
+          ["tissue3.native", [1, 0]],
+          ["tissue3.warped", [0, 1]],
+          ["tissue4.tpm", "$HOME/spm12/tpm/TPM.nii,4"],
+          ["tissue4.ngaus", 3],
+          ["tissue4.native", [1, 0]],
+          ["tissue4.warped", [0, 1]],
+          ["tissue5.tpm", "$HOME/spm12/tpm/TPM.nii,5"],
+          ["tissue5.ngaus", 4],
+          ["tissue5.native", [1, 0]],
+          ["tissue5.warped", [0, 1]],
+          ["tissue6.tpm", "$HOME/spm12/tpm/TPM.nii,6"],
+          ["tissue6.ngaus", 2],
+          ["tissue6.native", [0, 0]],
+          ["tissue6.warped", [0, 1]]
+        ]
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "fsiudfqsoi938409283409fdskj",
+        "label" : ".nii updated header",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "fdsljfnqkljfdklqsjdfq",
+        "derivedFrom" : [
+          "fdsjnflqj12381U39fdskjnf",
+          "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
+        ],
+        "prov:atLocation" : "TODO"
+      },
+      {
+        "@id" : "102983fsdkjnfskjdfnks129",
+        "label" : "anat bias corrected",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/"
+      },
+      {
+        "@id" : "fksjndflkqsjnf1290389",
+        "label" : "tissue1",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,1"
+      },
+      {
+        "@id" : "dsfklsnqfjkdlnqs132",
+        "label" : "tissue2",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,2"
+      },
+      {
+        "@id" : "fdsqljnflqsjfnd1203",
+        "label" : "tissue3",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,3"
+      },
+      {
+        "@id" : "fdsqlnfqksjn1290321093",
+        "label" : "tissue4",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,4"
+      },
+      {
+        "@id" : "fjkn120932109fdsjk",
+        "label" : "tisue5",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,5"
+      },
+      {
+        "@id" : "1903809128fshbfqqcbcbc",
+        "label" : "tissue6",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,6"
+      }
+    ]
+  }
 }
\ No newline at end of file
diff --git a/examples/default/model_and_contrast.json b/examples/default/model_and_contrast.json
index 27ca9bab9..9299d5521 100644
--- a/examples/default/model_and_contrast.json
+++ b/examples/default/model_and_contrast.json
@@ -11,8 +11,7 @@
                             "hadRole": "Funding"
                           }
     },
-  "@graph": 
-  {
+  "@graph": {
     "prov:SoftwareAgent" : [
       {
         "@id" : "653467354367537gjsfhdgfhfdsjkn",
diff --git a/examples/default/normalise.json b/examples/default/normalise.json
index 3e0bf40af..6ae272de5 100644
--- a/examples/default/normalise.json
+++ b/examples/default/normalise.json
@@ -11,8 +11,7 @@
                             "hadRole": "Funding"
                           }
     },
-  "@graph": 
-  {
+  "@graph": {
     "prov:SoftwareAgent" : [
       {
           "@id" : "653467354367537gjsfhdgfhfdsjkn",
diff --git a/examples/default/realign.json b/examples/default/realign.json
index 9357ba187..6361e6b46 100644
--- a/examples/default/realign.json
+++ b/examples/default/realign.json
@@ -11,51 +11,47 @@
                               "hadRole": "Funding"
                             }
     },
-  "@graph": [
-    {
-      "prov:SoftwareAgent" : [
-        {
-          "@id" : "653467354367537gjsfhdgfhfdsjkn",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
-        }
-      ],
-      "prov:Activity" : [
-        {
-          "@id" : "fdskjfnskjndflqkjndl",
-          "label" : "realign",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-          "startedAtTime" : "10/10/2020 00:00:00",
-          "endedAtTime" : "10/10/2020 01:00:00",
-          "used" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-          "attributes" : [
-            ["eoptions.quality", 0.9],
-            ["eoptions.sep", 4],
-            ["eoptions.fwhm", 5],
-            ["eoptions.rtm", 1],
-            ["eoptions.interp", 2],
-            ["eoptions.wrap", [0, 0, 0]],
-            ["eoptions.weight", ""],
-            ["roptions.which", [0, 1]],
-            ["roptions.wrap", [0, 0, 0]],
-            ["roptions.mask", 1],
-            ["roptions.prefix", "r"]
-          ]
-        }
-      ]
-    },
-    {
-      "prov:Entity" : [
-        {
-          "@id" : "fdsjnflqj12381U39fdskjnf",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "fdskjfnskjndflqkjndl",
-          "derivedFrom" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-          "label" : "Realigned func",
-          "prov:atLocation" : "TODO"
-        }
-      ]
-    }
-  ]
+  "@graph": {
+    "prov:SoftwareAgent" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhfdsjkn",
+        "@type" : "prov:SoftwareAgent",
+        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "fdskjfnskjndflqkjndl",
+        "label" : "realign",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "10/10/2020 00:00:00",
+        "endedAtTime" : "10/10/2020 01:00:00",
+        "used" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "attributes" : [
+          ["eoptions.quality", 0.9],
+          ["eoptions.sep", 4],
+          ["eoptions.fwhm", 5],
+          ["eoptions.rtm", 1],
+          ["eoptions.interp", 2],
+          ["eoptions.wrap", [0, 0, 0]],
+          ["eoptions.weight", ""],
+          ["roptions.which", [0, 1]],
+          ["roptions.wrap", [0, 0, 0]],
+          ["roptions.mask", 1],
+          ["roptions.prefix", "r"]
+        ]
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "fdsjnflqj12381U39fdskjnf",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "fdskjfnskjndflqkjndl",
+        "derivedFrom" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "label" : "Realigned func",
+        "prov:atLocation" : "TODO"
+      }
+    ]
+  }
 }
diff --git a/examples/default/smooth.json b/examples/default/smooth.json
index 48c6b9184..1f566a456 100644
--- a/examples/default/smooth.json
+++ b/examples/default/smooth.json
@@ -11,42 +11,40 @@
                             "hadRole": "Funding"
                           }
     },
-  "@graph": [
-    {
-      "prov:SoftwareAgent" : [
-        {
-          "@id" : "653467354367537gjsfhdgfhfdsjkn",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
-        }
-      ],
-      "prov:Activity" : [
-        {
-          "@id" : "smsmsmsmsmsmsmsm343",
-          "label" : "smooth",
-          "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-          "startedAtTime" : "10/10/2020 00:02:00",
-          "endedAtTime" : "10/10/2020 01:02:00",
-          "used" : "2378783298182821NDN",
-          "attributes" : [
-              ["fwhm", [6, 6, 6]],
-              ["dtype", 0],
-              ["im", 0],
-              ["prefix", "s"]
-          ]
-        }
-      ],
-      "prov:Entity" : [
-        {
-          "@id" : "fjsdnfkjqnsldf129381290",
-          "label" : "Smoothed functional images",
-          "prov:atLocation" : "TODO",
-          "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-          "wasGeneratedBy" : "smsmsmsmsmsmsmsm343",
-          "derivedFrom" : "2378783298182821NDN"
-        }
-      ]
-    }
-  ]
+  "@graph": {
+    "prov:SoftwareAgent" : [
+      {
+        "@id" : "653467354367537gjsfhdgfhfdsjkn",
+        "@type" : "prov:SoftwareAgent",
+        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label" : "SPM" 
+      }
+    ],
+    "prov:Activity" : [
+      {
+        "@id" : "smsmsmsmsmsmsmsm343",
+        "label" : "smooth",
+        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime" : "10/10/2020 00:02:00",
+        "endedAtTime" : "10/10/2020 01:02:00",
+        "used" : "2378783298182821NDN",
+        "attributes" : [
+            ["fwhm", [6, 6, 6]],
+            ["dtype", 0],
+            ["im", 0],
+            ["prefix", "s"]
+        ]
+      }
+    ],
+    "prov:Entity" : [
+      {
+        "@id" : "fjsdnfkjqnsldf129381290",
+        "label" : "Smoothed functional images",
+        "prov:atLocation" : "TODO",
+        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy" : "smsmsmsmsmsmsmsm343",
+        "derivedFrom" : "2378783298182821NDN"
+      }
+    ]
+  }
 }
\ No newline at end of file

From c624b0e09f3fe39b97719af6b4b1c65ff6b95630 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 9 Apr 2020 11:41:31 +0200
Subject: [PATCH 028/137] explicit name for copy and unzip

---
 examples/default/copies.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/default/copies.json b/examples/default/copies.json
index 9dccf67d5..e38a0baa2 100644
--- a/examples/default/copies.json
+++ b/examples/default/copies.json
@@ -23,7 +23,7 @@
     "prov:Activity" : [
       {
         "@id" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
-        "label" : "copy anat",
+        "label" : "copy and unzip anat",
         "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
         "startedAtTime" : "2019-10-10T10:00:00",
         "endedAtTime" : "2019-10-10T10:00:00",
@@ -31,7 +31,7 @@
       },
       {
         "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
-        "label" : "copy func",
+        "label" : "copy and unzip func",
         "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
         "startedAtTime" : "2019-10-10T10:00:00",
         "endedAtTime" : "2019-10-10T10:00:00",

From d0547d7e4db5869f919719da92e7f0356208dc94 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 9 Apr 2020 16:07:12 +0200
Subject: [PATCH 029/137] [ADD] list of features not in the spec

---
 README.md       | 8 +++++---
 new_features.md | 8 ++++++++
 2 files changed, 13 insertions(+), 3 deletions(-)
 create mode 100644 new_features.md

diff --git a/README.md b/README.md
index 41b5b6eb8..cd7751b8b 100644
--- a/README.md
+++ b/README.md
@@ -5,12 +5,12 @@ provenance framework for BIDS
 ## BIDS-prov in the NIDM project
 The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
 
-![NIDM](img/nidm-layer-cake.png "NIDM building blocks")
+<center>
+<img src="img/nidm-layer-cake.png" width="80%" position="center">
+</center>
 
 BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
 
-Common definition and objects are directly taken from NIDM core vocab (level 2) in order to ensure all described projects speak a common language.
-
 ---------------
 Mature building blocks of NIDM:
 * [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
@@ -27,3 +27,5 @@ In this case:
 * my output files are entities, derived from some input files
 * Running my SPM batch on some input files is an Activity.
 
+-----------
+### [New features (not in the spec)](new_features.md)
\ No newline at end of file
diff --git a/new_features.md b/new_features.md
new file mode 100644
index 000000000..a3150118b
--- /dev/null
+++ b/new_features.md
@@ -0,0 +1,8 @@
+### New features
+
+List of all features you can find in `examples/*.json` files, but are not mentionned in [the spec](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
+
+- [type indexing](https://w3c.github.io/json-ld-syntax/#node-type-indexing)
+- graphs defined across multiple files
+- Activities attributes defined via key/value list-like pairs, allowing to pass unstructured extra information
+- using sha512 value as "@id" field for entities

From 9d6179e5a2881513b077e0e6f424ad9008cbccdb Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 10 Apr 2020 16:34:44 +0200
Subject: [PATCH 030/137] [ADD] issue template for proposals

---
 spec_update_issue_template.md | 22 ++++++++++++++++++++++
 1 file changed, 22 insertions(+)
 create mode 100644 spec_update_issue_template.md

diff --git a/spec_update_issue_template.md b/spec_update_issue_template.md
new file mode 100644
index 000000000..71aa9d072
--- /dev/null
+++ b/spec_update_issue_template.md
@@ -0,0 +1,22 @@
+## Issue template for proposal to BIDS
+--------------
+### Problem Statement
+What type of enhancement ? Is it a `new feature or a modification` ?
+What `limitation in the current spec` does this underline ?
+
+--------------
+### Rationale
+What `solution` do you propose ? How does that relate to the original problem ?
+
+--------------
+### Minimal example
+Provide a minimal example with the current spec.
+How would this example turn if we `apply the proposed change` ?
+
+-------------
+### Checklist 
+- [ ] link to the google doc of the proposal
+- [ ] make sure the google doc follows the [BIDS proposale template](https://docs.google.com/document/d/1W7--Mf3gCCb1mVfhsoRJCAKFhmf2umG1PFkyZ1jEgMw/edit#heading=h.4k1noo90gelw)
+- [ ] list of all authors for this proposal
+- [ ] links to related [issues](https://github.com/bids-standard/bids-specification/issues) and [PRs](https://github.com/bids-standard/bids-specification/pulls) in bids-specification
+

From d1a13986c7140377aba04f65ab3db54c24a8171e Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Wed, 15 Apr 2020 11:52:53 +0200
Subject: [PATCH 031/137] [UPDATE] new_features list

---
 new_features.md | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/new_features.md b/new_features.md
index a3150118b..986fbcd78 100644
--- a/new_features.md
+++ b/new_features.md
@@ -3,6 +3,5 @@
 List of all features you can find in `examples/*.json` files, but are not mentionned in [the spec](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
 
 - [type indexing](https://w3c.github.io/json-ld-syntax/#node-type-indexing)
-- graphs defined across multiple files
+- Activity definitions, instead of just Agent and Entities
 - Activities attributes defined via key/value list-like pairs, allowing to pass unstructured extra information
-- using sha512 value as "@id" field for entities

From bcc709cdfb0c306122916b92035b95a2e5c25c68 Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 16 Apr 2020 16:25:07 +0200
Subject: [PATCH 032/137] rename spm_default subfolder

---
 examples/{default => spm_default}/SPM default.svg         | 0
 examples/{default => spm_default}/copies.json             | 0
 examples/{default => spm_default}/coreg_and_segment.json  | 0
 examples/{default => spm_default}/model_and_contrast.json | 0
 examples/{default => spm_default}/normalise.json          | 0
 examples/{default => spm_default}/realign.json            | 0
 examples/{default => spm_default}/report.json             | 0
 examples/{default => spm_default}/smooth.json             | 0
 8 files changed, 0 insertions(+), 0 deletions(-)
 rename examples/{default => spm_default}/SPM default.svg (100%)
 rename examples/{default => spm_default}/copies.json (100%)
 rename examples/{default => spm_default}/coreg_and_segment.json (100%)
 rename examples/{default => spm_default}/model_and_contrast.json (100%)
 rename examples/{default => spm_default}/normalise.json (100%)
 rename examples/{default => spm_default}/realign.json (100%)
 rename examples/{default => spm_default}/report.json (100%)
 rename examples/{default => spm_default}/smooth.json (100%)

diff --git a/examples/default/SPM default.svg b/examples/spm_default/SPM default.svg
similarity index 100%
rename from examples/default/SPM default.svg
rename to examples/spm_default/SPM default.svg
diff --git a/examples/default/copies.json b/examples/spm_default/copies.json
similarity index 100%
rename from examples/default/copies.json
rename to examples/spm_default/copies.json
diff --git a/examples/default/coreg_and_segment.json b/examples/spm_default/coreg_and_segment.json
similarity index 100%
rename from examples/default/coreg_and_segment.json
rename to examples/spm_default/coreg_and_segment.json
diff --git a/examples/default/model_and_contrast.json b/examples/spm_default/model_and_contrast.json
similarity index 100%
rename from examples/default/model_and_contrast.json
rename to examples/spm_default/model_and_contrast.json
diff --git a/examples/default/normalise.json b/examples/spm_default/normalise.json
similarity index 100%
rename from examples/default/normalise.json
rename to examples/spm_default/normalise.json
diff --git a/examples/default/realign.json b/examples/spm_default/realign.json
similarity index 100%
rename from examples/default/realign.json
rename to examples/spm_default/realign.json
diff --git a/examples/default/report.json b/examples/spm_default/report.json
similarity index 100%
rename from examples/default/report.json
rename to examples/spm_default/report.json
diff --git a/examples/default/smooth.json b/examples/spm_default/smooth.json
similarity index 100%
rename from examples/default/smooth.json
rename to examples/spm_default/smooth.json

From c91185655949d8eff81c867409bb10251ca9950f Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Thu, 16 Apr 2020 16:34:20 +0200
Subject: [PATCH 033/137] [ADD] workflow & readme for fsl_default

---
 examples/fsl_default/fsl_default.png | Bin 0 -> 217601 bytes
 examples/fsl_default/readme.md       |  15 +++++++++++++++
 2 files changed, 15 insertions(+)
 create mode 100644 examples/fsl_default/fsl_default.png
 create mode 100644 examples/fsl_default/readme.md

diff --git a/examples/fsl_default/fsl_default.png b/examples/fsl_default/fsl_default.png
new file mode 100644
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diff --git a/examples/fsl_default/readme.md b/examples/fsl_default/readme.md
new file mode 100644
index 000000000..8fdbf5581
--- /dev/null
+++ b/examples/fsl_default/readme.md
@@ -0,0 +1,15 @@
+## workflow for "Feat 1 Practical" example
+
+------------------
+### Steps
+Tutorial available [here](https://fsl.fmrib.ox.ac.uk/fslcourse/lectures/practicals/feat1/index.html)
+
+-------------------
+### Workflow
+<center>
+<img src="fsl_default.png" width="90%" position="center">
+</center>
+
+--------------------
+### Docker
+[This image](https://hub.docker.com/r/vistalab/fsl-v5.0) was used to reproduce experiments

From 3b57597dc5690e06b8ea6352a69fa5ee4292282e Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 17 Apr 2020 12:46:58 +0200
Subject: [PATCH 034/137] first draft for fsl_default

---
 examples/fsl_default/default.json | 126 ++++++++++++++++++++++++++++++
 new_features.md                   |   1 +
 2 files changed, 127 insertions(+)
 create mode 100644 examples/fsl_default/default.json

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
new file mode 100644
index 000000000..fc1e3efad
--- /dev/null
+++ b/examples/fsl_default/default.json
@@ -0,0 +1,126 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+    "@graph": {
+      "prov:SoftwareAgent" : [
+        {
+          "@id" : "SCR_001847",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
+          "label" : "FSL" 
+        }
+      ],
+      "prov:Activities" : [
+        {
+          "@id" : "sqlspspsppsp20202",
+          "label" : "mcflirt",
+          "wasAssociatedWith" : "SCR_001847", 
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+        },
+        {
+          "@id" : "qndjnqndnfsdnfnsdf_registration",
+          "label" : "registration",
+          "wasAssociatedWith" : "SCR_001847", 
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : "ksdqndns100201"
+        },
+        {
+          "@id" : "fsqjklnfqljnfnfnnf_unwarp",
+          "label" : "unwarp",
+          "wasAssociatedWith" : "SCR_001847", 
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : "ksdqndns100201"
+        },
+        {
+          "@id" : "fsqjklnfqljnfnfnnf_prestats",
+          "label" : "prestats",
+          "wasAssociatedWith" : "SCR_001847", 
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : "vbvbbvbv_undistorted_func"
+        },
+        {
+          "@id" : "fsqjklnfqljnfnfnnf_stats",
+          "label" : "stats",
+          "wasAssociatedWith" : "SCR_001847", 
+          "startedAtTime" : "2019-10-10T10:00:00",
+          "endedAtTime" : "2019-10-10T10:00:00",
+          "used" : [
+            "prestats_output_TODO",
+            "dfsjnsqkdfnjsn_contrasts"
+          ]
+        }
+      ],
+      "prov:Entities" : [
+        {
+          "@id" : "dskjn1902",
+          "label" : "functional",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_001847"
+        },
+        {
+          "@id" : "ksdqndns100201",
+          "label" : "Aligned functional",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_001847",
+          "wasGeneratedBy" : "sqlspspsppsp20202"
+        },
+        {
+          "@id" : "rezoiurozeiuriozuro",
+          "label" : "Transformation files",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_00184",
+          "wasGeneratedBy" : "qndjnqndnfsdnfnsdf_registration"
+        },
+        {
+          "@id" : "dfsjnsqkdfnjsn_copes",
+          "label" : "copes",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_00184",
+          "wasGeneratedBy" : "qndjnqndnfsdnfnsdf_registration"
+        },
+        {
+          "@id" : "dfsjnsqkdfnjsn_varcopes",
+          "label" : "varcopes",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_00184",
+          "wasGeneratedBy" : "qndjnqndnfsdnfnsdf_registration"
+        },
+        {
+          "@id" : "vbvbbvbv_undistorted_func",
+          "label" : "un-distorted functional",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_00184",
+          "wasGeneratedBy" : "fsqjklnfqljnfnfnnf_unwarp"
+        },
+        {
+          "@id" : "dfsjnsqkdfnjsn_contrasts",
+          "label" : "contrasts",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_00184",
+          "wasGeneratedBy" : "TODO"
+        },
+        {
+          "@id" : "dfsjnsqkdfnjsn_todo",
+          "label" : "TODO",
+          "prov:atLocation" : "TODO",
+          "attributedTo" : "SCR_00184",
+          "wasGeneratedBy" : "fsqjklnfqljnfnfnnf_prestats"
+        }
+      ]
+  }
+}
\ No newline at end of file
diff --git a/new_features.md b/new_features.md
index 986fbcd78..782219a8b 100644
--- a/new_features.md
+++ b/new_features.md
@@ -5,3 +5,4 @@ List of all features you can find in `examples/*.json` files, but are not mentio
 - [type indexing](https://w3c.github.io/json-ld-syntax/#node-type-indexing)
 - Activity definitions, instead of just Agent and Entities
 - Activities attributes defined via key/value list-like pairs, allowing to pass unstructured extra information
+- Activities "used" field allow multiple entries : multiple entities as input

From a5388938273c4f56651eb5f1a90404db1309e6bb Mon Sep 17 00:00:00 2001
From: Remi Adon <radon@remi-adon.irisa.fr>
Date: Fri, 17 Apr 2020 17:18:55 +0200
Subject: [PATCH 035/137] [ADD] detailed preprocessing and logs as markdown

---
 examples/fsl_default/logs.md            | 311 ++++++++++++++++++++++++
 examples/fsl_default/preprocessing.json |  53 ++++
 2 files changed, 364 insertions(+)
 create mode 100644 examples/fsl_default/logs.md
 create mode 100644 examples/fsl_default/preprocessing.json

diff --git a/examples/fsl_default/logs.md b/examples/fsl_default/logs.md
new file mode 100644
index 000000000..d258edee1
--- /dev/null
+++ b/examples/fsl_default/logs.md
@@ -0,0 +1,311 @@
+# Progress Report / Log
+
+Started at Thu Apr 16 11:05:35 UTC 2020
+
+#### Feat main script
+
+
+/bin/cp /tmp/feat_oJmMLg.fsf design.fsf
+
+/usr/share/fsl/5.0/bin/feat_model design
+
+mkdir .files;cp /usr/share/fsl/5.0/doc/fsl.css .files;cp -r /usr/share/fsl/5.0/doc/images .files/images
+
+/usr/share/fsl/5.0/bin/fsl_sub -T 10 -l logs -N feat0_init   /usr/share/fsl/5.0/bin/feat /data/fmri1/fluency_task/fmri.feat/design.fsf -D /data/fmri1/fluency_task/fmri.feat -I 1 -init
+590
+
+/usr/share/fsl/5.0/bin/fsl_sub -T 40 -l logs -N feat2_pre -j 590  /usr/share/fsl/5.0/bin/feat /data/fmri1/fluency_task/fmri.feat/design.fsf -D /data/fmri1/fluency_task/fmri.feat -I 1 -prestats
+710
+
+/usr/share/fsl/5.0/bin/fsl_sub -T 1 -l logs -N feat3_film -j 710  /usr/share/fsl/5.0/bin/feat /data/fmri1/fluency_task/fmri.feat/design.fsf -D /data/fmri1/fluency_task/fmri.feat -I 1 -stats
+2114
+
+/usr/share/fsl/5.0/bin/fsl_sub -T 119 -l logs -N feat4_post -j 2114  /usr/share/fsl/5.0/bin/feat /data/fmri1/fluency_task/fmri.feat/design.fsf -D /data/fmri1/fluency_task/fmri.feat -poststats 0 
+2418
+
+/usr/share/fsl/5.0/bin/fsl_sub -T 1 -l logs -N feat5_stop -j 710,2114,2418  /usr/share/fsl/5.0/bin/feat /data/fmri1/fluency_task/fmri.feat/design.fsf -D /data/fmri1/fluency_task/fmri.feat -stop
+
+---------------
+## Initialisation
+
+/usr/share/fsl/5.0/bin/fslmaths /data/fmri1/fluency_task/fmri prefiltered_func_data -odt float
+Total original volumes = 106
+
+/usr/share/fsl/5.0/bin/fslroi prefiltered_func_data example_func 53 1
+
+---------------
+## Preprocessing:Stage 1
+
+/usr/share/fsl/5.0/bin/mainfeatreg -F 6.00 -d /data/fmri1/fluency_task/fmri.feat -l /data/fmri1/fluency_task/fmri.feat/logs/feat2_pre -R /data/fmri1/fluency_task/fmri.feat/report_unwarp.html -r /data/fmri1/fluency_task/fmri.feat/report_reg.html  -i /data/fmri1/fluency_task/fmri.feat/example_func.nii.gz  -h /data/fmri1/fluency_task/structural_brain -w  7 -x 90 -s /usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain -y 12 -z 90 
+Option -F ( FEAT version parameter ) selected with  argument "6.00"
+Option -d ( output directory ) selected with  argument "/data/fmri1/fluency_task/fmri.feat"
+Option -l ( logfile )input with argument "/data/fmri1/fluency_task/fmri.feat/logs/feat2_pre"
+Option -R ( html unwarping report ) selected with  argument "/data/fmri1/fluency_task/fmri.feat/report_unwarp.html"
+Option -r ( html registration report ) selected with  argument "/data/fmri1/fluency_task/fmri.feat/report_reg.html"
+Option -i ( main input ) input with argument "/data/fmri1/fluency_task/fmri.feat/example_func.nii.gz"
+Option -h ( high-res structural image ) selected with  argument "/data/fmri1/fluency_task/structural_brain"
+Option -w ( highres dof ) selected with  argument "7"
+Option -x ( highres search ) selected with  argument "90"
+Option -s ( standard image ) selected with  argument "/usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain"
+Option -y ( standard dof ) selected with  argument "12"
+Option -z ( standard search ) selected with  argument "90"
+
+## Registration
+
+/bin/mkdir -p /data/fmri1/fluency_task/fmri.feat/reg
+
+
+/usr/share/fsl/5.0/bin/fslmaths /data/fmri1/fluency_task/structural_brain highres
+
+
+/usr/share/fsl/5.0/bin/fslmaths /usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain standard
+
+did not find file: example_func2highres.mat. Generating transform.
+
+/usr/share/fsl/5.0/bin/flirt -in example_func -ref highres -out example_func2highres -omat example_func2highres.mat -cost corratio -dof 7 -searchrx -90 90 -searchry -90 90 -searchrz -90 90 -interp trilinear 
+
+
+/usr/share/fsl/5.0/bin/convert_xfm -inverse -omat highres2example_func.mat example_func2highres.mat
+
+
+/usr/share/fsl/5.0/bin/slicer example_func2highres highres -s 2 -x 0.35 sla.png -x 0.45 slb.png -x 0.55 slc.png -x 0.65 sld.png -y 0.35 sle.png -y 0.45 slf.png -y 0.55 slg.png -y 0.65 slh.png -z 0.35 sli.png -z 0.45 slj.png -z 0.55 slk.png -z 0.65 sll.png ; /usr/share/fsl/5.0/bin/pngappend sla.png + slb.png + slc.png + sld.png + sle.png + slf.png + slg.png + slh.png + sli.png + slj.png + slk.png + sll.png example_func2highres1.png ; /usr/share/fsl/5.0/bin/slicer highres example_func2highres -s 2 -x 0.35 sla.png -x 0.45 slb.png -x 0.55 slc.png -x 0.65 sld.png -y 0.35 sle.png -y 0.45 slf.png -y 0.55 slg.png -y 0.65 slh.png -z 0.35 sli.png -z 0.45 slj.png -z 0.55 slk.png -z 0.65 sll.png ; /usr/share/fsl/5.0/bin/pngappend sla.png + slb.png + slc.png + sld.png + sle.png + slf.png + slg.png + slh.png + sli.png + slj.png + slk.png + sll.png example_func2highres2.png ; /usr/share/fsl/5.0/bin/pngappend example_func2highres1.png - example_func2highres2.png example_func2highres.png; /bin/rm -f sl?.png example_func2highres2.png
+
+
+/bin/rm example_func2highres1.png
+
+did not find file: highres2standard.mat.
+
+Generating transform.
+
+/usr/share/fsl/5.0/bin/flirt -in highres -ref standard -out highres2standard -omat highres2standard.mat -cost corratio -dof 12 -searchrx -90 90 -searchry -90 90 -searchrz -90 90 -interp trilinear 
+
+
+/usr/share/fsl/5.0/bin/convert_xfm -inverse -omat standard2highres.mat highres2standard.mat
+
+
+/usr/share/fsl/5.0/bin/slicer highres2standard standard -s 2 -x 0.35 sla.png -x 0.45 slb.png -x 0.55 slc.png -x 0.65 sld.png -y 0.35 sle.png -y 0.45 slf.png -y 0.55 slg.png -y 0.65 slh.png -z 0.35 sli.png -z 0.45 slj.png -z 0.55 slk.png -z 0.65 sll.png ; /usr/share/fsl/5.0/bin/pngappend sla.png + slb.png + slc.png + sld.png + sle.png + slf.png + slg.png + slh.png + sli.png + slj.png + slk.png + sll.png highres2standard1.png ; /usr/share/fsl/5.0/bin/slicer standard highres2standard -s 2 -x 0.35 sla.png -x 0.45 slb.png -x 0.55 slc.png -x 0.65 sld.png -y 0.35 sle.png -y 0.45 slf.png -y 0.55 slg.png -y 0.65 slh.png -z 0.35 sli.png -z 0.45 slj.png -z 0.55 slk.png -z 0.65 sll.png ; /usr/share/fsl/5.0/bin/pngappend sla.png + slb.png + slc.png + sld.png + sle.png + slf.png + slg.png + slh.png + sli.png + slj.png + slk.png + sll.png highres2standard2.png ; /usr/share/fsl/5.0/bin/pngappend highres2standard1.png - highres2standard2.png highres2standard.png; /bin/rm -f sl?.png highres2standard2.png
+
+
+/bin/rm highres2standard1.png
+
+
+/usr/share/fsl/5.0/bin/convert_xfm -omat example_func2standard.mat -concat highres2standard.mat example_func2highres.mat
+
+
+/usr/share/fsl/5.0/bin/flirt -ref standard -in example_func -out example_func2standard -applyxfm -init example_func2standard.mat -interp trilinear
+
+Found file: example_func2standard.mat.
+
+/usr/share/fsl/5.0/bin/convert_xfm -inverse -omat standard2example_func.mat example_func2standard.mat
+
+
+/usr/share/fsl/5.0/bin/slicer example_func2standard standard -s 2 -x 0.35 sla.png -x 0.45 slb.png -x 0.55 slc.png -x 0.65 sld.png -y 0.35 sle.png -y 0.45 slf.png -y 0.55 slg.png -y 0.65 slh.png -z 0.35 sli.png -z 0.45 slj.png -z 0.55 slk.png -z 0.65 sll.png ; /usr/share/fsl/5.0/bin/pngappend sla.png + slb.png + slc.png + sld.png + sle.png + slf.png + slg.png + slh.png + sli.png + slj.png + slk.png + sll.png example_func2standard1.png ; /usr/share/fsl/5.0/bin/slicer standard example_func2standard -s 2 -x 0.35 sla.png -x 0.45 slb.png -x 0.55 slc.png -x 0.65 sld.png -y 0.35 sle.png -y 0.45 slf.png -y 0.55 slg.png -y 0.65 slh.png -z 0.35 sli.png -z 0.45 slj.png -z 0.55 slk.png -z 0.65 sll.png ; /usr/share/fsl/5.0/bin/pngappend sla.png + slb.png + slc.png + sld.png + sle.png + slf.png + slg.png + slh.png + sli.png + slj.png + slk.png + sll.png example_func2standard2.png ; /usr/share/fsl/5.0/bin/pngappend example_func2standard1.png - example_func2standard2.png example_func2standard.png; /bin/rm -f sl?.png example_func2standard2.png
+
+## Preprocessing:Stage 2
+
+/usr/share/fsl/5.0/bin/mcflirt -in prefiltered_func_data -out prefiltered_func_data_mcf -mats -plots -reffile example_func -rmsrel -rmsabs -spline_final
+
+/bin/mkdir -p mc ; /bin/mv -f prefiltered_func_data_mcf.mat prefiltered_func_data_mcf.par prefiltered_func_data_mcf_abs.rms prefiltered_func_data_mcf_abs_mean.rms prefiltered_func_data_mcf_rel.rms prefiltered_func_data_mcf_rel_mean.rms mc
+
+/usr/share/fsl/5.0/bin/fsl_tsplot -i prefiltered_func_data_mcf.par -t 'MCFLIRT estimated rotations (radians)' -u 1 --start=1 --finish=3 -a x,y,z -w 640 -h 144 -o rot.png 
+
+/usr/share/fsl/5.0/bin/fsl_tsplot -i prefiltered_func_data_mcf.par -t 'MCFLIRT estimated translations (mm)' -u 1 --start=4 --finish=6 -a x,y,z -w 640 -h 144 -o trans.png 
+
+/usr/share/fsl/5.0/bin/fsl_tsplot -i prefiltered_func_data_mcf_abs.rms,prefiltered_func_data_mcf_rel.rms -t 'MCFLIRT estimated mean displacement (mm)' -u 1 -w 640 -h 144 -a absolute,relative -o disp.png 
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_mcf -Tmean mean_func
+
+/usr/share/fsl/5.0/bin/bet2 mean_func mask -f 0.3 -n -m; /usr/share/fsl/5.0/bin/immv mask_mask mask
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_mcf -mas mask prefiltered_func_data_bet
+
+/usr/share/fsl/5.0/bin/fslstats prefiltered_func_data_bet -p 2 -p 98
+0.000000 9827.754883 
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_bet -thr 982.7754883 -Tmin -bin mask -odt char
+
+/usr/share/fsl/5.0/bin/fslstats prefiltered_func_data_mcf -k mask -p 50
+7535.813477 
+
+/usr/share/fsl/5.0/bin/fslmaths mask -dilF mask
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_mcf -mas mask prefiltered_func_data_thresh
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_thresh -Tmean mean_func
+
+/usr/share/fsl/5.0/bin/susan prefiltered_func_data_thresh 5651.86010775 2.9723991507431 3 1 1 mean_func 5651.86010775 prefiltered_func_data_smooth
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_smooth -mas mask prefiltered_func_data_smooth
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_smooth -mul 1.3269967509839415 prefiltered_func_data_intnorm
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_intnorm -Tmean tempMean
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_intnorm -bptf 10.714285714285714 -1 -add tempMean prefiltered_func_data_tempfilt
+
+/usr/share/fsl/5.0/bin/imrm tempMean
+
+/usr/share/fsl/5.0/bin/fslmaths prefiltered_func_data_tempfilt filtered_func_data
+
+/usr/share/fsl/5.0/bin/fslmaths filtered_func_data -Tmean mean_func
+
+/bin/rm -rf prefiltered_func_data*
+
+## Stats
+
+mkdir -p custom_timing_files ; /usr/share/fsl/5.0/bin/fslFixText /data/fmri1/fluency_task/word_generation.txt custom_timing_files/ev1.txt
+
+mkdir -p custom_timing_files ; /usr/share/fsl/5.0/bin/fslFixText /data/fmri1/fluency_task/word_shadowing.txt custom_timing_files/ev2.txt
+
+/usr/share/fsl/5.0/bin/film_gls --in=filtered_func_data --rn=stats --pd=design.mat --thr=1000.0 --sa --ms=5 --con=design.con --fcon=design.fts  
+Log directory is: stats
+paradigm.getDesignMatrix().Nrows()=106
+paradigm.getDesignMatrix().Ncols()=4
+sizeTS=106
+numTS=45081
+Calculating residuals...
+Completed
+Estimating residual autocorrelation...
+Calculating raw AutoCorrs... Completed
+mode = 9605.38
+sig = 1451
+Spatially smoothing auto corr estimates
+.........
+Completed
+Tukey M = 10
+Tukey estimates... Completed
+Completed
+Prewhitening and Computing PEs...
+Percentage done:
+1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,Completed
+Saving results... 
+Completed
+
+/usr/share/fsl/5.0/bin/smoothest -d 102   -m mask -r stats/res4d > stats/smoothness
+
+## Post-stats
+
+/usr/share/fsl/5.0/bin/fslmaths stats/zstat1 -mas mask thresh_zstat1
+
+echo 45081 > thresh_zstat1.vol
+zstat1: DLH=0.387734 VOLUME=45081 RESELS=11.9468
+
+/usr/share/fsl/5.0/bin/fslmaths stats/zstat2 -mas mask thresh_zstat2
+
+echo 45081 > thresh_zstat2.vol
+zstat2: DLH=0.387734 VOLUME=45081 RESELS=11.9468
+
+/usr/share/fsl/5.0/bin/fslmaths stats/zstat3 -mas mask thresh_zstat3
+
+echo 45081 > thresh_zstat3.vol
+zstat3: DLH=0.387734 VOLUME=45081 RESELS=11.9468
+
+/usr/share/fsl/5.0/bin/fslmaths stats/zstat4 -mas mask thresh_zstat4
+
+echo 45081 > thresh_zstat4.vol
+zstat4: DLH=0.387734 VOLUME=45081 RESELS=11.9468
+
+/usr/share/fsl/5.0/bin/fslmaths stats/zstat5 -mas mask thresh_zstat5
+
+echo 45081 > thresh_zstat5.vol
+zstat5: DLH=0.387734 VOLUME=45081 RESELS=11.9468
+
+/usr/share/fsl/5.0/bin/fslmaths stats/zfstat1 -mas mask thresh_zfstat1
+
+echo 45081 > thresh_zfstat1.vol
+zfstat1: DLH=0.387734 VOLUME=45081 RESELS=11.9468
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat1 -c stats/cope1 -t 2.3 -p 0.05 -d 0.387734 --volume=45081 --othresh=thresh_zstat1 -o cluster_mask_zstat1 --connectivity=26  --olmax=lmax_zstat1.txt --scalarname=Z > cluster_zstat1.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat1 
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat2 -c stats/cope2 -t 2.3 -p 0.05 -d 0.387734 --volume=45081 --othresh=thresh_zstat2 -o cluster_mask_zstat2 --connectivity=26  --olmax=lmax_zstat2.txt --scalarname=Z > cluster_zstat2.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat2 
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat3 -c stats/cope3 -t 2.3 -p 0.05 -d 0.387734 --volume=45081 --othresh=thresh_zstat3 -o cluster_mask_zstat3 --connectivity=26  --olmax=lmax_zstat3.txt --scalarname=Z > cluster_zstat3.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat3 
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat4 -c stats/cope4 -t 2.3 -p 0.05 -d 0.387734 --volume=45081 --othresh=thresh_zstat4 -o cluster_mask_zstat4 --connectivity=26  --olmax=lmax_zstat4.txt --scalarname=Z > cluster_zstat4.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat4 
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat5 -c stats/cope5 -t 2.3 -p 0.05 -d 0.387734 --volume=45081 --othresh=thresh_zstat5 -o cluster_mask_zstat5 --connectivity=26  --olmax=lmax_zstat5.txt --scalarname=Z > cluster_zstat5.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat5 
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zfstat1  -t 2.3 -p 0.05 -d 0.387734 --volume=45081 --othresh=thresh_zfstat1 -o cluster_mask_zfstat1 --connectivity=26  --olmax=lmax_zfstat1.txt --scalarname=Z > cluster_zfstat1.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zfstat1 
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat1 -c stats/cope1 -t 2.3  -p 0.05 -d 0.387734 --volume=45081 -x reg/example_func2standard.mat --stdvol=reg/standard --mm --connectivity=26 --olmax=lmax_zstat1_std.txt --scalarname=Z > cluster_zstat1_std.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat1 -std
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat2 -c stats/cope2 -t 2.3  -p 0.05 -d 0.387734 --volume=45081 -x reg/example_func2standard.mat --stdvol=reg/standard --mm --connectivity=26 --olmax=lmax_zstat2_std.txt --scalarname=Z > cluster_zstat2_std.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat2 -std
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat3 -c stats/cope3 -t 2.3  -p 0.05 -d 0.387734 --volume=45081 -x reg/example_func2standard.mat --stdvol=reg/standard --mm --connectivity=26 --olmax=lmax_zstat3_std.txt --scalarname=Z > cluster_zstat3_std.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat3 -std
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat4 -c stats/cope4 -t 2.3  -p 0.05 -d 0.387734 --volume=45081 -x reg/example_func2standard.mat --stdvol=reg/standard --mm --connectivity=26 --olmax=lmax_zstat4_std.txt --scalarname=Z > cluster_zstat4_std.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat4 -std
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zstat5 -c stats/cope5 -t 2.3  -p 0.05 -d 0.387734 --volume=45081 -x reg/example_func2standard.mat --stdvol=reg/standard --mm --connectivity=26 --olmax=lmax_zstat5_std.txt --scalarname=Z > cluster_zstat5_std.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zstat5 -std
+
+/usr/share/fsl/5.0/bin/cluster -i thresh_zfstat1  -t 2.3  -p 0.05 -d 0.387734 --volume=45081 -x reg/example_func2standard.mat --stdvol=reg/standard --mm --connectivity=26 --olmax=lmax_zfstat1_std.txt --scalarname=Z > cluster_zfstat1_std.txt
+
+/usr/share/fsl/5.0/bin/cluster2html . cluster_zfstat1 -std
+
+/usr/share/fsl/5.0/bin/fslstats thresh_zstat1 -l 0.0001 -R 2>/dev/null
+2.300048 6.133199 
+
+/usr/share/fsl/5.0/bin/fslstats thresh_zstat2 -l 0.0001 -R 2>/dev/null
+2.300061 6.440603 
+
+/usr/share/fsl/5.0/bin/fslstats thresh_zstat3 -l 0.0001 -R 2>/dev/null
+2.300882 6.401662 
+
+/usr/share/fsl/5.0/bin/fslstats thresh_zstat4 -l 0.0001 -R 2>/dev/null
+2.303167 3.934648 
+
+/usr/share/fsl/5.0/bin/fslstats thresh_zstat5 -l 0.0001 -R 2>/dev/null
+2.301617 6.236727 
+
+/usr/share/fsl/5.0/bin/fslstats thresh_zfstat1 -l 0.0001 -R 2>/dev/null
+2.300071 6.092561 
+Rendering using zmin=2.300048 zmax=6.440603
+
+/usr/share/fsl/5.0/bin/overlay 1 0 example_func -a thresh_zstat1 2.300048 6.440603 rendered_thresh_zstat1
+
+/usr/share/fsl/5.0/bin/slicer rendered_thresh_zstat1 -A 750 rendered_thresh_zstat1.png
+
+/bin/cp /usr/share/fsl/5.0/etc/luts/ramp.gif .ramp.gif
+
+/usr/share/fsl/5.0/bin/overlay 1 0 example_func -a thresh_zstat2 2.300048 6.440603 rendered_thresh_zstat2
+
+/usr/share/fsl/5.0/bin/slicer rendered_thresh_zstat2 -A 750 rendered_thresh_zstat2.png
+
+/usr/share/fsl/5.0/bin/overlay 1 0 example_func -a thresh_zstat3 2.300048 6.440603 rendered_thresh_zstat3
+
+/usr/share/fsl/5.0/bin/slicer rendered_thresh_zstat3 -A 750 rendered_thresh_zstat3.png
+
+/usr/share/fsl/5.0/bin/overlay 1 0 example_func -a thresh_zstat4 2.300048 6.440603 rendered_thresh_zstat4
+
+/usr/share/fsl/5.0/bin/slicer rendered_thresh_zstat4 -A 750 rendered_thresh_zstat4.png
+
+/usr/share/fsl/5.0/bin/overlay 1 0 example_func -a thresh_zstat5 2.300048 6.440603 rendered_thresh_zstat5
+
+/usr/share/fsl/5.0/bin/slicer rendered_thresh_zstat5 -A 750 rendered_thresh_zstat5.png
+
+/usr/share/fsl/5.0/bin/overlay 1 0 example_func -a thresh_zfstat1 2.300048 6.440603 rendered_thresh_zfstat1
+
+/usr/share/fsl/5.0/bin/slicer rendered_thresh_zfstat1 -A 750 rendered_thresh_zfstat1.png
+
+mkdir -p tsplot ; /usr/share/fsl/5.0/bin/tsplot . -f filtered_func_data -o tsplot
\ No newline at end of file
diff --git a/examples/fsl_default/preprocessing.json b/examples/fsl_default/preprocessing.json
new file mode 100644
index 000000000..6da21a0e6
--- /dev/null
+++ b/examples/fsl_default/preprocessing.json
@@ -0,0 +1,53 @@
+{
+  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@id": "http://example.org/ds00000X",
+  "generatedAt": "2020-03-10T10:00:00",
+  "wasGeneratedBy": {
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": { "@id": "NIH",
+                            "@type": "Organization",
+                            "hadRole": "Funding"
+                          }
+    },
+    "@graph": {
+      "prov:SoftwareAgent" : [
+        {
+          "@id" : "maintfeatreg101010",
+          "@type" : "prov:SoftwareAgent",
+          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
+          "label" : "FSL" 
+        }
+      ],
+      "prov:Activities" : [
+        {
+          "@id" : "fsjknfsdjndf_stage1",
+          "label" : "preprocessing:stage1",
+          "wasAssociatedWith" : "SCR_001847",
+          "bin" : "/usr/share/fsl/5.0/bin/mainfeatreg",
+          "used" : "ndfksjnfsndf_example_func",
+          "attributes" : [
+            ["FEAT version parameter" , 6.00],
+            ["output directory", "/data/fmri1/fluency_task/fmri.feat"],
+            ["logfile" , "/data/fmri1/fluency_task/fmri.feat/logs/feat2_pre"],
+            ["html unwarping report", "/data/fmri1/fluency_task/fmri.feat/report_unwarp.html"],
+            ["html registration report", "/data/fmri1/fluency_task/fmri.feat/report_reg.html"],
+            ["high-res structural image", "/data/fmri1/fluency_task/structural_brain"],
+            ["highres dof", "7"],
+            ["highres search", "90"],
+            ["standard image", "/usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain"],
+            ["standard dof", "12"],
+            ["standard search", "90"]
+          ]
+        }
+      ],
+      "prov:Entities" : [
+        {
+          "@id" : "ndfksjnfsndf_example_func",
+          "label" : "example_func",
+          "prov:atLocation" : "/data/fmri1/fluency_task/fmri.feat/example_func.nii.gz"
+        }
+      ]
+  }
+}
\ No newline at end of file

From e6054f58b88048e7657accab6f3a77aa4d98f106 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 12:08:47 +0200
Subject: [PATCH 036/137] start reformatting README as for a BEP proposal

---
 README.md | 39 ++++++++++++++++++++++++++-------------
 1 file changed, 26 insertions(+), 13 deletions(-)

diff --git a/README.md b/README.md
index cd7751b8b..7cb244a11 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,30 @@
-# BIDS-prov
+# BEP028
 provenance framework for BIDS
+This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
+## Our goal
+**Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
+
+## Who is building BEP 028
+Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Rémi Adon ([@remiadon](https://github.com/remiadon)) are currently working on the definition of this BEP, as well as providing meaningful examples
+
+Satrajit Ghosh ([@satra](https://github.com/satra)) is responsible for integration in BIDS
+
+
+## How to help
+[Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
+
+For this purpose we have to **propose changes to the BIDS specification**
+
+
+The BIDS specification is *rendered* as a webpage at https://bids-specification.readthedocs.io.
+
+The website is built from a GitHub repository that consists of mostly markdown files at https://github.com/bids-standard/bids-specification.
+If you don't know much about markdown, here's a [good intro guide](https://guides.github.com/features/mastering-markdown/)
+
+The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
+
+-----------------------
 
 ## BIDS-prov in the NIDM project
 The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
@@ -16,16 +40,5 @@ Mature building blocks of NIDM:
 * [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
 * [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
---------------
-### Concepts 
-BIDS-prov represents interactions in neuro_imaging projects using [JSON-ld](https://json-ld.org/) files, following [W3C-prov] concepts 
-![NIDM](img/w3c.svg)
-
-As an example, I may use the SPM software to run a bunch of experiments. These experiments consume files and produce files.
-In this case:
-* SPM is an agent
-* my output files are entities, derived from some input files
-* Running my SPM batch on some input files is an Activity.
-
 -----------
-### [New features (not in the spec)](new_features.md)
\ No newline at end of file
+### [New features (not in the spec)](new_features.md)

From 99c5e94e9e6ccf3df3e3578b53965e12ac236bdf Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 14:28:27 +0200
Subject: [PATCH 037/137] enrich "How to help" section in README

---
 README.md | 35 ++++++++++++++++++++++++++---------
 1 file changed, 26 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 7cb244a11..177b587af 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,16 @@ Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Rémi Adon ([@remiad
 
 Satrajit Ghosh ([@satra](https://github.com/satra)) is responsible for integration in BIDS
 
+### BIDS-prov in the NIDM project
+The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
+
+<p align="center">
+  <img width="50%" src="img/nidm-layer-cake.png">
+</p>
+
+
+BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
+
 
 ## How to help
 [Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
@@ -24,21 +34,28 @@ If you don't know much about markdown, here's a [good intro guide](https://guide
 
 The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
 
------------------------
+### Avoiding great big pull requests
 
-## BIDS-prov in the NIDM project
-The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
+We could do all our work in a branch of the main [bids-specification](https://github.com/bids-standard/bids-specification) repository.
+We would be able to see how our proposed changes affected the current version of the specification by opening a [pull request](https://help.github.com/articles/about-pull-requests/).
 
-<center>
-<img src="img/nidm-layer-cake.png" width="80%" position="center">
-</center>
+However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
+
+Each conceptual update to the specification should have a *``proposal file``*.
+This file should explain what change it is proposing and provide a justification for the change.
+
+Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP001 repository (this one).
+If everyone agrees on the proposal, the file will be merged to master.
+
+(There will then be some wrangling to make the one big pull request to the bids-specification.
+We'll cross that bridge when we come to it! :sparkles:)
 
-BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
 
 ---------------
+## Additional resources
 Mature building blocks of NIDM:
 * [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
 * [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
------------
-### [New features (not in the spec)](new_features.md)
+
+[New features (to be included)](new_features.md)

From c640df91849a7a7ebd4e267eb7dfe24f28f89bbe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 14:37:49 +0200
Subject: [PATCH 038/137] fix typo in README

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 177b587af..4b915e251 100644
--- a/README.md
+++ b/README.md
@@ -44,7 +44,7 @@ However, there are quite a few changes to make, and quite a lot of conversation
 Each conceptual update to the specification should have a *``proposal file``*.
 This file should explain what change it is proposing and provide a justification for the change.
 
-Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP001 repository (this one).
+Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP028 repository (this one).
 If everyone agrees on the proposal, the file will be merged to master.
 
 (There will then be some wrangling to make the one big pull request to the bids-specification.

From 5002bcda6174f94c2483bf98633088cc438574df Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 15:08:59 +0200
Subject: [PATCH 039/137] add NIDM weekly call section to README

---
 README.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/README.md b/README.md
index 4b915e251..3cf0f2cfa 100644
--- a/README.md
+++ b/README.md
@@ -51,6 +51,15 @@ If everyone agrees on the proposal, the file will be merged to master.
 We'll cross that bridge when we come to it! :sparkles:)
 
 
+## Finding information and getting in touch
+
+### Google doc
+The BEP028 started as a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
+
+
+### NIDM weekly calls
+We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.  
+
 ---------------
 ## Additional resources
 Mature building blocks of NIDM:

From 7d1e5081a68a09302cf8aa38f306cbabc60d1a17 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Fri, 31 Jul 2020 11:48:32 +0200
Subject: [PATCH 040/137] Update who is who + title

---
 README.md | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/README.md b/README.md
index 3cf0f2cfa..bce4b7aa3 100644
--- a/README.md
+++ b/README.md
@@ -1,14 +1,13 @@
-# BEP028
-provenance framework for BIDS
+# BIDS Extension Proposal 028: Provenance in BIDS (BEP028)
 This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
 ## Our goal
 **Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
 
 ## Who is building BEP 028
-Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Rémi Adon ([@remiadon](https://github.com/remiadon)) are currently working on the definition of this BEP, as well as providing meaningful examples
+Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Satrajit Ghosh ([@satra](https://github.com/satra)) are the BEP co-moderators. 
 
-Satrajit Ghosh ([@satra](https://github.com/satra)) is responsible for integration in BIDS
+Rémi Adon ([@remiadon](https://github.com/remiadon)) is currently working on the definition of this BEP, as well as providing real-world examples.
 
 ### BIDS-prov in the NIDM project
 The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping

From b0f0e86e16dff957b3f32ae37cb2817b8e2bdce0 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 15:38:27 +0200
Subject: [PATCH 041/137] add requirements to read and viz json-ld as prov

---
 requirements.txt | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/requirements.txt b/requirements.txt
index acbdfeb4a..a46366ea2 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,2 +1,5 @@
 click
 graphviz
+prov
+rdflib-jsonld
+pyld
\ No newline at end of file

From 349c464e4a776338dac29becf293a2cdd27d34c6 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 4 Aug 2020 23:03:06 +0200
Subject: [PATCH 042/137] context for JSON-LD 1.1 with type indexing

---
 context.json | 69 +++++++++++++++++++++++++++++-----------------------
 1 file changed, 38 insertions(+), 31 deletions(-)

diff --git a/context.json b/context.json
index 50c043ea9..ea0f0bb1d 100644
--- a/context.json
+++ b/context.json
@@ -1,35 +1,42 @@
 {
-    "prov" : "http://www.w3.org/ns/prov#",
-    "xsd": "http://www.w3.org/2001/XMLSchema#",
-    "label": "http://www.w3.org/2000/01/rdf-schema#label",
-    "startedAtTime" : {
-      "@id": "http://www.w3.org/ns/prov#startedAtTime",
-      "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
-    },
-    "endedAtTime" : {
-      "@id": "http://www.w3.org/ns/prov#endedAtTime",
-      "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
-    },
-    "wasGeneratedBy" : {
-      "@id": "http://www.w3.org/ns/prov#wasGeneratedBy",
-      "@type": "http://www.w3.org/2001/XMLSchema#Entity"
-    },
-    "wasAttributedTo" : {
-      "@id": "http://www.w3.org/ns/prov#wasAttributedTo",
-      "@type": "http://www.w3.org/2001/XMLSchema#Agent"
-    },
-    "wasAssociatedWith" : {
-      "@id": "http://www.w3.org/ns/prov#wasAssociatedWith",
-      "@type": "http://www.w3.org/2001/XMLSchema#Agent"
-    },
-    "wasInformedBy" : {
-      "@id": "http://www.w3.org/ns/prov#wasInformedBy",
-      "@type": "http://www.w3.org/2001/XMLSchema#Activity"
-    },
-    "used" : {
-      "@id": "http://www.w3.org/ns/prov#used",
-      "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+    "@context": {
+        "@version": 1.1, 
+        "records": {
+          "@container": "@type", 
+          "@id": "@graph"
+        }, 
+        "prov" : "http://www.w3.org/ns/prov#",
+        "xsd": "http://www.w3.org/2001/XMLSchema#",
+        "label": "http://www.w3.org/2000/01/rdf-schema#label",
+        "startedAtTime" : {
+          "@id": "http://www.w3.org/ns/prov#startedAtTime",
+          "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
+        },
+        "endedAtTime" : {
+          "@id": "http://www.w3.org/ns/prov#endedAtTime",
+          "@type": "http://www.w3.org/2001/XMLSchema#dateTime"
+        },
+        "wasGeneratedBy" : {
+          "@id": "http://www.w3.org/ns/prov#wasGeneratedBy",
+          "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+        },
+        "wasAttributedTo" : {
+          "@id": "http://www.w3.org/ns/prov#wasAttributedTo",
+          "@type": "http://www.w3.org/2001/XMLSchema#Agent"
+        },
+        "wasAssociatedWith" : {
+          "@id": "http://www.w3.org/ns/prov#wasAssociatedWith",
+          "@type": "http://www.w3.org/2001/XMLSchema#Agent"
+        },
+        "wasInformedBy" : {
+          "@id": "http://www.w3.org/ns/prov#wasInformedBy",
+          "@type": "http://www.w3.org/2001/XMLSchema#Activity"
+        },
+        "used" : {
+          "@id": "http://www.w3.org/ns/prov#used",
+          "@type": "http://www.w3.org/2001/XMLSchema#Entity"
+        }
     }
 }
 
-  
\ No newline at end of file
+  

From 30fd87d5e27e6a2311fd03f2edd3d9ad856565b9 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:12:29 +0200
Subject: [PATCH 043/137] Add missing namespaces to identifiers

---
 examples/fsl_default/default.json | 93 +++++++++++++++----------------
 1 file changed, 46 insertions(+), 47 deletions(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index fc1e3efad..126179ecc 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -14,7 +14,7 @@
     "@graph": {
       "prov:SoftwareAgent" : [
         {
-          "@id" : "SCR_001847",
+          "@id" : "scr:SCR_001847",
           "@type" : "prov:SoftwareAgent",
           "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
           "label" : "FSL" 
@@ -22,104 +22,103 @@
       ],
       "prov:Activities" : [
         {
-          "@id" : "sqlspspsppsp20202",
+          "@id" : "niiri:sqlspspsppsp20202",
           "label" : "mcflirt",
-          "wasAssociatedWith" : "SCR_001847", 
+          "wasAssociatedWith" : "scr:SCR_001847", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+          "used" : "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
         },
         {
-          "@id" : "qndjnqndnfsdnfnsdf_registration",
+          "@id" : "niiri:qndjnqndnfsdnfnsdf_registration",
           "label" : "registration",
-          "wasAssociatedWith" : "SCR_001847", 
+          "wasAssociatedWith" : "scr:SCR_001847", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "ksdqndns100201"
+          "used" : "niiri:ksdqndns100201"
         },
         {
-          "@id" : "fsqjklnfqljnfnfnnf_unwarp",
+          "@id" : "niiri:fsqjklnfqljnfnfnnf_unwarp",
           "label" : "unwarp",
-          "wasAssociatedWith" : "SCR_001847", 
+          "wasAssociatedWith" : "scr:SCR_001847", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "ksdqndns100201"
+          "used" : "niiri:ksdqndns100201"
         },
         {
-          "@id" : "fsqjklnfqljnfnfnnf_prestats",
+          "@id" : "niiri:fsqjklnfqljnfnfnnf_prestats",
           "label" : "prestats",
-          "wasAssociatedWith" : "SCR_001847", 
+          "wasAssociatedWith" : "scr:SCR_001847", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "vbvbbvbv_undistorted_func"
+          "used" : "niiri:vbvbbvbv_undistorted_func"
         },
         {
-          "@id" : "fsqjklnfqljnfnfnnf_stats",
+          "@id" : "niiri:fsqjklnfqljnfnfnnf_stats",
           "label" : "stats",
-          "wasAssociatedWith" : "SCR_001847", 
+          "wasAssociatedWith" : "scr:SCR_001847", 
           "startedAtTime" : "2019-10-10T10:00:00",
           "endedAtTime" : "2019-10-10T10:00:00",
           "used" : [
-            "prestats_output_TODO",
-            "dfsjnsqkdfnjsn_contrasts"
+            "niiri:prestats_output_TODO",
+            "niiri:dfsjnsqkdfnjsn_contrasts"
           ]
         }
       ],
       "prov:Entities" : [
         {
-          "@id" : "dskjn1902",
+          "@id" : "niiri:dskjn1902",
           "label" : "functional",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_001847"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_001847"
         },
         {
-          "@id" : "ksdqndns100201",
+          "@id" : "niiri:ksdqndns100201",
           "label" : "Aligned functional",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_001847",
-          "wasGeneratedBy" : "sqlspspsppsp20202"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_001847",
+          "wasGeneratedBy" : "niiri:sqlspspsppsp20202"
         },
         {
-          "@id" : "rezoiurozeiuriozuro",
+          "@id" : "niiri:rezoiurozeiuriozuro",
           "label" : "Transformation files",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_00184",
-          "wasGeneratedBy" : "qndjnqndnfsdnfnsdf_registration"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_00184",
+          "wasGeneratedBy" : "niiri:qndjnqndnfsdnfnsdf_registration"
         },
         {
-          "@id" : "dfsjnsqkdfnjsn_copes",
+          "@id" : "niiri:dfsjnsqkdfnjsn_copes",
           "label" : "copes",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_00184",
-          "wasGeneratedBy" : "qndjnqndnfsdnfnsdf_registration"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_00184",
+          "wasGeneratedBy" : "niiri:qndjnqndnfsdnfnsdf_registration"
         },
         {
-          "@id" : "dfsjnsqkdfnjsn_varcopes",
+          "@id" : "niiri:dfsjnsqkdfnjsn_varcopes",
           "label" : "varcopes",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_00184",
-          "wasGeneratedBy" : "qndjnqndnfsdnfnsdf_registration"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_00184",
         },
         {
-          "@id" : "vbvbbvbv_undistorted_func",
+          "@id" : "niiri:vbvbbvbv_undistorted_func",
           "label" : "un-distorted functional",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_00184",
-          "wasGeneratedBy" : "fsqjklnfqljnfnfnnf_unwarp"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_00184",
+          "wasGeneratedBy" : "niiri:fsqjklnfqljnfnfnnf_unwarp"
         },
         {
-          "@id" : "dfsjnsqkdfnjsn_contrasts",
+          "@id" : "niiri:dfsjnsqkdfnjsn_contrasts",
           "label" : "contrasts",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_00184",
-          "wasGeneratedBy" : "TODO"
+          "prov:atLocation" : "niiri:TODO",
+          "attributedTo" : "scr:SCR_00184",
+          "wasGeneratedBy" : "niiri:TODO"
         },
         {
-          "@id" : "dfsjnsqkdfnjsn_todo",
+          "@id" : "niiri:dfsjnsqkdfnjsn_todo",
           "label" : "TODO",
           "prov:atLocation" : "TODO",
-          "attributedTo" : "SCR_00184",
-          "wasGeneratedBy" : "fsqjklnfqljnfnfnnf_prestats"
+          "attributedTo" : "scr:SCR_00184",
+          "wasGeneratedBy" : "niiri:fsqjklnfqljnfnfnnf_prestats"
         }
       ]
   }

From 8eebfa1857147dc641b568e9d2940cc5530ad256 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:13:30 +0200
Subject: [PATCH 044/137] Update to point to context defining type indexing

---
 examples/fsl_default/default.json | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index 126179ecc..e8a45292c 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -1,5 +1,5 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {

From 1629ee5ea9dcf8386f4b11a3f8614c2fba39ca41 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:13:42 +0200
Subject: [PATCH 045/137] graph is records (as in context)

---
 examples/fsl_default/default.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index e8a45292c..42b76f9ff 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -11,8 +11,8 @@
                             "hadRole": "Funding"
                           }
     },
-    "@graph": {
-      "prov:SoftwareAgent" : [
+    "records": {
+      "prov:Agent" : [
         {
           "@id" : "scr:SCR_001847",
           "@type" : "prov:SoftwareAgent",

From adfc5ed377813c408b5aa62d1626081d1ee38df9 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:13:51 +0200
Subject: [PATCH 046/137] Fix prov types

---
 examples/fsl_default/default.json | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index 42b76f9ff..5633de834 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -20,7 +20,7 @@
           "label" : "FSL" 
         }
       ],
-      "prov:Activities" : [
+      "prov:Activity" : [
         {
           "@id" : "niiri:sqlspspsppsp20202",
           "label" : "mcflirt",
@@ -65,7 +65,7 @@
           ]
         }
       ],
-      "prov:Entities" : [
+      "prov:Entity" : [
         {
           "@id" : "niiri:dskjn1902",
           "label" : "functional",

From 85d4476ad9ad0726ae458a67b483a74ccc1f6ff7 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:14:00 +0200
Subject: [PATCH 047/137] Add missing namespace in id

---
 examples/fsl_default/default.json | 1 +
 1 file changed, 1 insertion(+)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index 5633de834..5b52241be 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -98,6 +98,7 @@
           "label" : "varcopes",
           "prov:atLocation" : "niiri:TODO",
           "attributedTo" : "scr:SCR_00184",
+          "wasGeneratedBy" : "niiri:qndjnqndnfsdnfnsdf_registration"
         },
         {
           "@id" : "niiri:vbvbbvbv_undistorted_func",

From 5bb6f8b0753cfc6910a93f99d265b068ee9a4e56 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:18:18 +0200
Subject: [PATCH 048/137] Removing front node info (not sure if that's fine
 with viz)

---
 examples/fsl_default/default.json | 13 +------------
 1 file changed, 1 insertion(+), 12 deletions(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index 5b52241be..b3ea18239 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -1,17 +1,6 @@
 {
   "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
-  "@id": "http://example.org/ds00000X",
-  "generatedAt": "2020-03-10T10:00:00",
-  "wasGeneratedBy": {
-    "@id": "INRIA",
-    "@type": "Project",
-    "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
-    "records": {
+  "records": {
       "prov:Agent" : [
         {
           "@id" : "scr:SCR_001847",

From a790f8442d146cbc114b6bc0c6355a9cb50f6fdf Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:22:29 +0200
Subject: [PATCH 049/137] Toy examples for viz

---
 examples/fsl_default/viz_examples/ttl_example.ttl | 10 ++++++++++
 1 file changed, 10 insertions(+)
 create mode 100644 examples/fsl_default/viz_examples/ttl_example.ttl

diff --git a/examples/fsl_default/viz_examples/ttl_example.ttl b/examples/fsl_default/viz_examples/ttl_example.ttl
new file mode 100644
index 000000000..740803e9e
--- /dev/null
+++ b/examples/fsl_default/viz_examples/ttl_example.ttl
@@ -0,0 +1,10 @@
+@prefix prov: <http://www.w3.org/ns/prov#> .
+@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
+@prefix niiri: <http://iri.nidash.org/> .
+@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
+
+niiri:my_entity_id a prov:Entity ;
+	rdfs:label "My beautiful entity"^^xsd:string;  .
+
+niiri:my_activity_id a prov:Activity ;
+	prov:used niiri:my_entity_id .
\ No newline at end of file

From bd643ece2c7fce30bad3349a8ad178055460921f Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 4 Aug 2020 23:23:21 +0200
Subject: [PATCH 050/137] Code to vizualize json-ld 1.1 as prov graph

---
 examples/fsl_default/test_diplay_graphs.ipynb | 188 ++++++++++++++++++
 1 file changed, 188 insertions(+)
 create mode 100644 examples/fsl_default/test_diplay_graphs.ipynb

diff --git a/examples/fsl_default/test_diplay_graphs.ipynb b/examples/fsl_default/test_diplay_graphs.ipynb
new file mode 100644
index 000000000..7f9647100
--- /dev/null
+++ b/examples/fsl_default/test_diplay_graphs.ipynb
@@ -0,0 +1,188 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Vizualizing turtle as a PROV graph"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from prov.model import ProvDocument\n",
+    "from prov.dot import prov_to_dot\n",
+    "from IPython.display import Image, display\n",
+    "import os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def viz_turtle(source=None, content=None, img_file=None, disp=True):\n",
+    "    prov_doc = ProvDocument.deserialize(source=source, content=content, format='rdf', rdf_format='turtle')\n",
+    "\n",
+    "    dot = prov_to_dot(prov_doc, use_labels=True)\n",
+    "    dot.write_png(img_file)\n",
+    "\n",
+    "    if disp:\n",
+    "        img = Image(img_file)\n",
+    "        display(img)\n",
+    "\n",
+    "ttl_file = os.path.join('viz_examples', 'ttl_example.ttl')\n",
+    "viz_turtle(ttl_file, img_file='turtle-prov.png')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create equivalent JSON-LD 1.1 from turtle"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create JSON-LD 1.1 version\n",
+    "jsonld11_file = os.path.join('viz_examples', 'jsonld11_example.jsonld')\n",
+    "\n",
+    "import rdflib as rl\n",
+    "import pyld as ld\n",
+    "import json\n",
+    "\n",
+    "g = rl.ConjunctiveGraph()\n",
+    "g.parse(ttl_file, format='turtle')\n",
+    "g2 = g.serialize(format='json-ld')\n",
+    "\n",
+    "foo = ld.jsonld.compact(json.loads(g2), \n",
+    "                        'https://raw.githubusercontent.com/incf-nidash/nidm/master/nidm/nidm-results/terms/nidmr.json')\n",
+    "\n",
+    "with open(jsonld11_file, 'w') as out_file:\n",
+    "     out_file.write(json.dumps(foo, indent=2))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Create vizualisation from JSON-LD 1.1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "def viz_jsonld11(jsonld11_file, img_file, disp=True):\n",
+    "    \n",
+    "    minimal_context = {\n",
+    "      \"@context\": {\n",
+    "        \"prov\": \"http://www.w3.org/ns/prov#\", \n",
+    "        \"nidm\": \"http://purl.org/nidash/nidm#\", \n",
+    "        \"niiri\": \"http://iri.nidash.org/\"\n",
+    "      }\n",
+    "    }\n",
+    "\n",
+    "    # Load graph from json-ld file as non 1.1 JSON-LD \n",
+    "    aa=ld.jsonld.compact(\n",
+    "        json.load(open(jsonld11_file, 'r')), \n",
+    "        minimal_context)\n",
+    "\n",
+    "    g = rl.ConjunctiveGraph()\n",
+    "    g.parse(data=json.dumps(aa, indent=2), format='json-ld')\n",
+    "\n",
+    "    viz_turtle(content=g.serialize(format='turtle').decode(), img_file=img_file, disp=disp)\n",
+    "    \n",
+    "viz_jsonld11(jsonld11_file, img_file=os.path.join('viz_examples', 'jsonld11-prov.png'))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<IPython.core.display.Image object>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# An example with default.json\n",
+    "viz_jsonld11('default.json', img_file='fsl_default-prov.png')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "bids_prov",
+   "language": "python",
+   "name": "bids_prov"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.7.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 12ea85227cc41f5ac749f6fd95a9ec52c24ab8b6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 12:08:47 +0200
Subject: [PATCH 051/137] start reformatting README as for a BEP proposal

---
 README.md | 39 ++++++++++++++++++++++++++-------------
 1 file changed, 26 insertions(+), 13 deletions(-)

diff --git a/README.md b/README.md
index cd7751b8b..7cb244a11 100644
--- a/README.md
+++ b/README.md
@@ -1,6 +1,30 @@
-# BIDS-prov
+# BEP028
 provenance framework for BIDS
+This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
+## Our goal
+**Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
+
+## Who is building BEP 028
+Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Rémi Adon ([@remiadon](https://github.com/remiadon)) are currently working on the definition of this BEP, as well as providing meaningful examples
+
+Satrajit Ghosh ([@satra](https://github.com/satra)) is responsible for integration in BIDS
+
+
+## How to help
+[Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
+
+For this purpose we have to **propose changes to the BIDS specification**
+
+
+The BIDS specification is *rendered* as a webpage at https://bids-specification.readthedocs.io.
+
+The website is built from a GitHub repository that consists of mostly markdown files at https://github.com/bids-standard/bids-specification.
+If you don't know much about markdown, here's a [good intro guide](https://guides.github.com/features/mastering-markdown/)
+
+The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
+
+-----------------------
 
 ## BIDS-prov in the NIDM project
 The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
@@ -16,16 +40,5 @@ Mature building blocks of NIDM:
 * [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
 * [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
---------------
-### Concepts 
-BIDS-prov represents interactions in neuro_imaging projects using [JSON-ld](https://json-ld.org/) files, following [W3C-prov] concepts 
-![NIDM](img/w3c.svg)
-
-As an example, I may use the SPM software to run a bunch of experiments. These experiments consume files and produce files.
-In this case:
-* SPM is an agent
-* my output files are entities, derived from some input files
-* Running my SPM batch on some input files is an Activity.
-
 -----------
-### [New features (not in the spec)](new_features.md)
\ No newline at end of file
+### [New features (not in the spec)](new_features.md)

From 92e9c19040cf0a0d5ecdc4dbf958e63161bd3bee Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 14:28:27 +0200
Subject: [PATCH 052/137] enrich "How to help" section in README

---
 README.md | 35 ++++++++++++++++++++++++++---------
 1 file changed, 26 insertions(+), 9 deletions(-)

diff --git a/README.md b/README.md
index 7cb244a11..177b587af 100644
--- a/README.md
+++ b/README.md
@@ -10,6 +10,16 @@ Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Rémi Adon ([@remiad
 
 Satrajit Ghosh ([@satra](https://github.com/satra)) is responsible for integration in BIDS
 
+### BIDS-prov in the NIDM project
+The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
+
+<p align="center">
+  <img width="50%" src="img/nidm-layer-cake.png">
+</p>
+
+
+BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
+
 
 ## How to help
 [Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
@@ -24,21 +34,28 @@ If you don't know much about markdown, here's a [good intro guide](https://guide
 
 The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
 
------------------------
+### Avoiding great big pull requests
 
-## BIDS-prov in the NIDM project
-The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
+We could do all our work in a branch of the main [bids-specification](https://github.com/bids-standard/bids-specification) repository.
+We would be able to see how our proposed changes affected the current version of the specification by opening a [pull request](https://help.github.com/articles/about-pull-requests/).
 
-<center>
-<img src="img/nidm-layer-cake.png" width="80%" position="center">
-</center>
+However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
+
+Each conceptual update to the specification should have a *``proposal file``*.
+This file should explain what change it is proposing and provide a justification for the change.
+
+Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP001 repository (this one).
+If everyone agrees on the proposal, the file will be merged to master.
+
+(There will then be some wrangling to make the one big pull request to the bids-specification.
+We'll cross that bridge when we come to it! :sparkles:)
 
-BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
 
 ---------------
+## Additional resources
 Mature building blocks of NIDM:
 * [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
 * [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
------------
-### [New features (not in the spec)](new_features.md)
+
+[New features (to be included)](new_features.md)

From 1ef476a1716a53f129bbc42ab4fd78ef3f520d53 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 14:37:49 +0200
Subject: [PATCH 053/137] fix typo in README

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 177b587af..4b915e251 100644
--- a/README.md
+++ b/README.md
@@ -44,7 +44,7 @@ However, there are quite a few changes to make, and quite a lot of conversation
 Each conceptual update to the specification should have a *``proposal file``*.
 This file should explain what change it is proposing and provide a justification for the change.
 
-Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP001 repository (this one).
+Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP028 repository (this one).
 If everyone agrees on the proposal, the file will be merged to master.
 
 (There will then be some wrangling to make the one big pull request to the bids-specification.

From eb26af183f04a8a70d1452c5f7b93433a545e324 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 30 Jul 2020 15:08:59 +0200
Subject: [PATCH 054/137] add NIDM weekly call section to README

---
 README.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/README.md b/README.md
index 4b915e251..3cf0f2cfa 100644
--- a/README.md
+++ b/README.md
@@ -51,6 +51,15 @@ If everyone agrees on the proposal, the file will be merged to master.
 We'll cross that bridge when we come to it! :sparkles:)
 
 
+## Finding information and getting in touch
+
+### Google doc
+The BEP028 started as a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
+
+
+### NIDM weekly calls
+We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.  
+
 ---------------
 ## Additional resources
 Mature building blocks of NIDM:

From 4002835d3d07c345dc1319f8a3f1619134e9b982 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Wed, 5 Aug 2020 15:18:00 +0200
Subject: [PATCH 055/137] update requirements

---
 requirements.txt | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index a46366ea2..38a405702 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -2,4 +2,5 @@ click
 graphviz
 prov
 rdflib-jsonld
-pyld
\ No newline at end of file
+pyld
+pydot

From 9601006ecbd25487bf1f8f6f6a0117c6f83e4bd9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Wed, 5 Aug 2020 15:21:31 +0200
Subject: [PATCH 056/137] Create CODE_OF_CONDUCT.md

---
 CODE_OF_CONDUCT.md | 76 ++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 76 insertions(+)
 create mode 100644 CODE_OF_CONDUCT.md

diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
new file mode 100644
index 000000000..5f32b0fe6
--- /dev/null
+++ b/CODE_OF_CONDUCT.md
@@ -0,0 +1,76 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+In the interest of fostering an open and welcoming environment, we as
+contributors and maintainers pledge to making participation in our project and
+our community a harassment-free experience for everyone, regardless of age, body
+size, disability, ethnicity, sex characteristics, gender identity and expression,
+level of experience, education, socio-economic status, nationality, personal
+appearance, race, religion, or sexual identity and orientation.
+
+## Our Standards
+
+Examples of behavior that contributes to creating a positive environment
+include:
+
+* Using welcoming and inclusive language
+* Being respectful of differing viewpoints and experiences
+* Gracefully accepting constructive criticism
+* Focusing on what is best for the community
+* Showing empathy towards other community members
+
+Examples of unacceptable behavior by participants include:
+
+* The use of sexualized language or imagery and unwelcome sexual attention or
+ advances
+* Trolling, insulting/derogatory comments, and personal or political attacks
+* Public or private harassment
+* Publishing others' private information, such as a physical or electronic
+ address, without explicit permission
+* Other conduct which could reasonably be considered inappropriate in a
+ professional setting
+
+## Our Responsibilities
+
+Project maintainers are responsible for clarifying the standards of acceptable
+behavior and are expected to take appropriate and fair corrective action in
+response to any instances of unacceptable behavior.
+
+Project maintainers have the right and responsibility to remove, edit, or
+reject comments, commits, code, wiki edits, issues, and other contributions
+that are not aligned to this Code of Conduct, or to ban temporarily or
+permanently any contributor for other behaviors that they deem inappropriate,
+threatening, offensive, or harmful.
+
+## Scope
+
+This Code of Conduct applies both within project spaces and in public spaces
+when an individual is representing the project or its community. Examples of
+representing a project or community include using an official project e-mail
+address, posting via an official social media account, or acting as an appointed
+representative at an online or offline event. Representation of a project may be
+further defined and clarified by project maintainers.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported by contacting the project team at remi.adon@inria.fr. All
+complaints will be reviewed and investigated and will result in a response that
+is deemed necessary and appropriate to the circumstances. The project team is
+obligated to maintain confidentiality with regard to the reporter of an incident.
+Further details of specific enforcement policies may be posted separately.
+
+Project maintainers who do not follow or enforce the Code of Conduct in good
+faith may face temporary or permanent repercussions as determined by other
+members of the project's leadership.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
+available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see
+https://www.contributor-covenant.org/faq

From 341a1fc318cf6ea511ff2988ccceeceb00f1ff26 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Wed, 5 Aug 2020 15:38:58 +0200
Subject: [PATCH 057/137] Create contributing.md

---
 contributing.md | 25 +++++++++++++++++++++++++
 1 file changed, 25 insertions(+)
 create mode 100644 contributing.md

diff --git a/contributing.md b/contributing.md
new file mode 100644
index 000000000..82df1a5bd
--- /dev/null
+++ b/contributing.md
@@ -0,0 +1,25 @@
+## Contributing guidelines
+
+
+### Structure of a proposal
+Here is how a proposal should be structured for easier reviewing and discussions
+
+* Proposal and rationale behind this
+* An example and its dedicated subfolder in the `examples/` folder
+
+
+### Avoid big pull requests
+
+We could do all our work in a branch of the main [bids-specification](https://github.com/bids-standard/bids-specification) repository.
+We would be able to see how our proposed changes affected the current version of the specification by opening a [pull request](https://help.github.com/articles/about-pull-requests/).
+
+However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
+
+Each conceptual update to the specification should have a *``proposal file``*.
+This file should explain what change it is proposing and provide a justification for the change.
+
+Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP028 repository (this one).
+If everyone agrees on the proposal, the file will be merged to master.
+
+(There will then be some wrangling to make the one big pull request to the bids-specification.
+We'll cross that bridge when we come to it! :sparkles:)

From 9db45ba46c8cbcf50cda70d8d993390310d642e9 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Thu, 6 Aug 2020 10:13:25 +0200
Subject: [PATCH 058/137] restructure contributing.md

---
 contributing.md | 17 +++++++++--------
 1 file changed, 9 insertions(+), 8 deletions(-)

diff --git a/contributing.md b/contributing.md
index 82df1a5bd..5fefa0ff7 100644
--- a/contributing.md
+++ b/contributing.md
@@ -4,8 +4,8 @@
 ### Structure of a proposal
 Here is how a proposal should be structured for easier reviewing and discussions
 
-* Proposal and rationale behind this
-* An example and its dedicated subfolder in the `examples/` folder
+* **Proposal and rationale behind**, in the form of a *``proposal file``*. This file should explain what change it is proposing and provide a **justification for the change**.
+* **An example** and its dedicated subfolder in the `examples/` folder
 
 
 ### Avoid big pull requests
@@ -15,11 +15,12 @@ We would be able to see how our proposed changes affected the current version of
 
 However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
 
-Each conceptual update to the specification should have a *``proposal file``*.
-This file should explain what change it is proposing and provide a justification for the change.
 
-Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP028 repository (this one).
-If everyone agrees on the proposal, the file will be merged to master.
+### Create the pull request
 
-(There will then be some wrangling to make the one big pull request to the bids-specification.
-We'll cross that bridge when we come to it! :sparkles:)
+[BEP028](https://github.com/bids-standard/bids-specification/pull/487) has a [dedicated branch](https://github.com/bids-standard/bids-specification/tree/bep-028) on the [bids-specification repository](https://github.com/bids-standard/bids-specification).
+
+**Contributing to the BEP028 requires creating a pull request to be merged to this branch**
+
+There will then be some wrangling to make the one big pull request to the bids-specification.
+We'll cross that bridge when we come to it! :sparkles:

From 99db44ca82e3410427450a330af00e6ac8d4a9e6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Thu, 6 Aug 2020 10:55:57 +0200
Subject: [PATCH 059/137] Create LICENSE

---
 LICENSE | 396 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 396 insertions(+)
 create mode 100644 LICENSE

diff --git a/LICENSE b/LICENSE
new file mode 100644
index 000000000..2fb94156c
--- /dev/null
+++ b/LICENSE
@@ -0,0 +1,396 @@
+Attribution 4.0 International
+
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+
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From e8b968cc91e89990344b677b29ce3671d3bda920 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@protonmail.com>
Date: Thu, 6 Aug 2020 11:01:16 +0200
Subject: [PATCH 060/137] Update issue templates

---
 .github/ISSUE_TEMPLATE/feature_request.md | 20 ++++++++++++++++++++
 1 file changed, 20 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/feature_request.md

diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md
new file mode 100644
index 000000000..bbcbbe7d6
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/feature_request.md
@@ -0,0 +1,20 @@
+---
+name: Feature request
+about: Suggest an idea for this project
+title: ''
+labels: ''
+assignees: ''
+
+---
+
+**Is your feature request related to a problem? Please describe.**
+A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
+
+**Describe the solution you'd like**
+A clear and concise description of what you want to happen.
+
+**Describe alternatives you've considered**
+A clear and concise description of any alternative solutions or features you've considered.
+
+**Additional context**
+Add any other context or screenshots about the feature request here.

From 8266f2091356bb6e01379250b6c6ee19bca8a9ef Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Thu, 10 Sep 2020 14:01:30 +0200
Subject: [PATCH 061/137] git ignore

---
 .gitignore | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/.gitignore b/.gitignore
index ac84c9af9..a4221ad61 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,3 +5,8 @@ settings.json
 **/*.gz
 .datalad
 **/*.tsv
+
+*.DS_Store
+*.ipynb_checkpoints
+
+*.png
\ No newline at end of file

From 2a10347bb7f0786385781a23c9fdea2956c774e1 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Thu, 10 Sep 2020 14:01:53 +0200
Subject: [PATCH 062/137] update notebook

---
 examples/fsl_default/test_diplay_graphs.ipynb | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/examples/fsl_default/test_diplay_graphs.ipynb b/examples/fsl_default/test_diplay_graphs.ipynb
index 7f9647100..ffd6f3455 100644
--- a/examples/fsl_default/test_diplay_graphs.ipynb
+++ b/examples/fsl_default/test_diplay_graphs.ipynb
@@ -26,7 +26,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -59,7 +59,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,12 +90,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -137,12 +137,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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gARIgARIgAT8jQCHOzy4ou0MCJEACJND9BB544AE8/dQfUVFZJc6teCO8Pfnj88XxlonB6Ynd3wA/PkNsdPhJe/f9m85BTGQYNu8ugN0uIRSr6lrt/+sfzMc9j3/cap3zmNGRoa3W88npE1DR9JoLR5uqR3GGAVVh7rUXn8Wjjz6K8LBQXH755Xj9jTdP/0R8JQmQAAmQAAmQAAmQAAmQAAmQAAmQAAn4OAEKcT5+Adl8EiABEiCBniewY/t2jB/WG8/9320YMSip5xsQoGd8+b2txtWm3b9g+mC8+fFO3PrA23j7yetdrrhEcW798JZpAUrIc93umxyLGy4Za6q2IqegDD/941Ks2/il5xrFM5MACZAACZAACZAACZAACZAACZAACZCAFxCwEq94QUPYBBIgARIgARLwGQI2SIjDOIpwPXjBqqrrTf445ylvuHisuQZf7sjHWdc+ixcXbXFuwthhKa7HfOAZAhoCdMRAitSeoc+zkgAJkAAJkAAJkAAJkAAJkAAJkAAJeBMBOuK86WqwLSRAAiRAAj5BwGYTJY6lWwls3VOIed9caM5R39AEfe5eoiTM5PrX7jSOuI9X7cetP31HxLit+McvL3e549z352PPEOB7xTPceVYSIAESIAESIAESIAESIAESIAESIAHvIUAhznuuBVtCAiRAAiTgQwQ0PxlL9xEYJ662pc/f6jrBsbIaTLnhb67n+qBP72h8+Neb8dqH23H3Yx9iyZoDmHjNX/HJ327BhBGprfblk54nwPdIzzPnGUmABEiABEiABEiABEiABEiABEiABLyPAIU477smbBEJkAAJkICXE6DLp+cvkOZ++8m3zmvzxNdfPAbzpw7CDff9C0vXHsS9v19sxLg2d+bKHiXA90qP4ubJSIAESIAESIAESIAESMBnCCxcuBDh4eG4/vrrXW3OycnBc889h+9+97tITT355MqO7FtdXY3ly5e7jn+yB6NHj0ZGRoZrl/Lycqxbtw579+5FVVUVhgwZggkTJiAzM9O1jz7YsGEDioqKWq0LCQlBYmIikpOTWx2z1U5uTzp6LreX8CEJkICPEWCOOB+7YGwuCZAACZCA5wmouGCn3afHL8QdV0405zyYW4J3P/2q1fmTEqLwj4cvR1CQDcvXZ6G0vLbV9lM9yc4vO9Uu3N5JAvoeoRDXSWjcnQRIgARIgARIgARIgAQChMDbb7+N//znP616u2vXLrzzzjtG/Gq1oY0nHdk3Pz8fP/7xj/HRRx8hNzcXJSUleOKJJ8y6wsJCaFUh7cEHH8Rnn33mOsvixYtx+eWXY+PGjZgxYwauu+46NDc347bbbsPvfvc71NTUuPYdNmwYVBTU8zzwwAOorKw051EB8Ec/+hEuvPBCPPXUU2hoaHC9xv1BZ87l/jo+JgES8C0CdMT51vVia0mABEiABEgg4Amo6PaD336Mi2YMQXhYy0+Z9NR4DM/sjT2HimV9cIc5ffrFQWzclY8f3Ta9w6/hjiRAAiRAAiRAAiRAAiRAAiRAAqdP4JVXXpGJlK09IhdccAFWrlyJhISEUx64I/vW1tbioosuwuOPP+463qJFi4wAd/XVVyM2NtasHzVqFMrKrMmZKgT+/Oc/x//93/9B93GW9PR0TJs2zaxTl9yzzz5rNsXFxRnR7plnnoHuc+211zpfYibwfvLJJ/jFL36B7du34w9/+AOio6Nd2zt7LtcL+YAESMDnCLT+tPO55rPBJEACJEACJNDzBCxHXM+fNxDOWFphOdmyDpe2293Y6HBU1zbg2w+9h7r6Rtd+2/YUYteBo/jGZeMRGRHqWn8ozzpWfUOTa53zwRdbc3HLT9/GhdMHO1dx2UUE1DRKR1wXweRhSIAESIAESIAESIAESMDPCERFRSEiIuKEXnVEhHO+6FT7BgcH48orr3Tu3u5SxToV1AoKCvCb3/zGhKG86qqrTti/b9++uPXWW7F69Wr8+9//dm2PiYlxPXZ/oH8PqWCojrs1a9bglltucTnjTvdc7sfnYxIgAd8hQCHOd64VW0oCJEACJOA1BCQ0pfxj6VoCby3Zhfue+MQcNKegXIS2Rdi+t3WsfecZxwzpg8rqesz75j9x92Mf4s4HF2HOHQvx39edjWd+eonZ7XBhOX4ozrkNO/LM89seeEf2X4g5ty/A5OufQ9/Zv8O0m54328YOS3EemssuIsDwrV0EkochARIgARIgARIgARIgAR8i0NjYaISqtWvXmhCOGhbyL3/5C7Kyslr1ori4GG+99VardRr+UfOyqXvMWdSp9tprr5mnGj7y+eefh56jrX11pyVLluDjjz82+48YMcK42MyTk/ynQto111yDV1991YSWvOKKK9qdVKghK7U4HXEnOaxrkwp95513Hvbs2ePqW3edy3VSPiABEvAqAi3xnLyqWWwMCZAACZAACXgvAbp8uufaXDl/JLR2pLz42NfRN9kKI5JTUIajJdV44r4LERMV5np5WkqcWafrWTxDoNPvFbu4FquyxEonc8WiB3qm0TwrCZAACZAACZAACZAACZDAaRFQ0eyRRx4xOdkuvfRSaB44da2pGPfGG2+Y/G8qeml4yMceewyRkZEux9r+/fvxpz/9CRrK8Wc/+xnGjBmDd9991xxP86up8KYuNBWzMjIy8MEHH7Ta19lgPW5dXZ3JzeZc19GlHltLWlpauy9JTk5GSEgINP9cRUWFK7xluy9wbBg7dqzJQ6c56SZOnGj6oZu641ynagu3kwAJ9DwBOuJ6njnPSAIkQAIk4AcENOwei+cIOEU4bYHmhps4sm8rEc5zLeOZnQQ6/BZprABKNgKHXgF2PgZ71otAzWHnYbgkARIgARIgARIgARIgARLwEQLx8fFGONPmFhUV4dFHH8X9999vQjMePXoUmzdvhoaLVMeZ5ltzL4MHD8Z3vvMd91Um99q8efPQ1NSEPn36GCFOxbn58+efsK/zhZqH7emnn3Y+7dRy3759Zv+UlPYjpmheOxXjtKh42NEydOhQs+vGjfK3j5TuPJc5Af8jARLwKgJ0xHnV5WBjSIAESIAEfIGAunw6LDL4QofYRhLoJgJtO+Lk3VMj4UIrZLZp+S7Ya4tgk38S+0WSmTfLI5knFtTibOympvGwJEACJEACJEACJEACJEAC3UAgPDzcHDU9Pd04x/SJimxa1EXmLGFhJ/7mb2udU/SaO3eueemgQYPMsq19dcO4cePM9tP5Lzo62rysttbKXd7eMdRxp6W93HBtva6mpsasVheglu48lzkB/yMBEvAqAhTivOpysDEkQAIkQAK+QEDFhWZa4nzhUrGNHiSgOeJcQlyz/KFaKbNFK3aL+LYb9qZa2RYswpuEopRici66v6eCrD/ePdh8npoESIAESIAESIAESIAESKCLCKiLTMvp5JF2vta57KImtXmYIUOGGJdbYWFhm9t1ZX19PY4dO2ZExszMzHb3O37Dzp07zSqnUNid5zr+3HxOAiTgeQLWp6Dn28EWkAAJkAAJkIBPETAOHp9qMRtLAj1LICkhCrdeNhw4+A8JOfkbIPtNoHSbEeG0JU4R7vhW2dFMR9zxUPicBEiABEiABEiABEiABEig2wlMnjzZnGP3bplA2E5xhpTUnG+aK64jRQVIDUmpYqIzJGd3nasj7eE+JEACPU+AQlzPM+cZSYAESIAEfJyAFZqSwSl9/DKy+d1M4OIZQ3HPzRNgr8oWx1uzcb1p6MkOlWPrJW7NB5JY4lPg6Crg2AagbJsVzrL6EFBbIFNRS4CmalH0LFddh47LnUiABEiABEiABEiABEiABAKawMlceVdffTVGjRqFf/3rX6iokFzWbZQXXnjBCHAPPPBAG1vbXvWb3/wG6oi75557MHy4TFaU0l3narsFXEsCJOBpAh2T7T3dSp6fBEiABEiABLyMgHsUPS9rWo83p7HJjreXH0JBcQ2+f+3Ids//VVYZ3l+Vq6nAUFxWh6KSWjx7/zSZFSgrpDQ32/HyxwewP7cCvWLDxDEl+kt5HRoam/Htrw/Hc+/sxsG8SkwemWRy9NU3NOHiaf0xcXhiu+d037Bm2xHsPFiKmMgQ8/rrzx/o2vzCe/sQGxVi2jV1TDLGD2055hFp5/P/2YtZZ6Vi2lgrKbe+cN2Oo2b/qtoGs7z1kiGICA92HVMfLFmXh817j+FHN40x63/x3CbsyS5vtc+D35qAEZnxrdb5w5OF727Gxn01+OCVxywhrcnKo2DCUJ6qg/ZGEduK5KaQ10gYS2tZ166LzhYUKi46CWcZHGHVjjzWfYMkP4NZnpif4lRN5HYSIAESIAESIAESIAESIIETCVRXy2Q5KQ0NDa6NJSUyiU6KM7eaPtYQjyp2NTY2upxluk5LaWmpWep/ztxquq5Xr16u9W3tqxsffvhhc9zf/va3rn3dH5SXW3+PVVZWIjY21n0TgoODzevvuusu/OxnP8Njjz2GqKgo1z5vvfUWlixZgnvvvdclqOnGw4cPm33c++dcr8Ld66+/jhtvvBG33HKL2U//O91zuQ7AByRAAj5FgEKcT10uNpYESIAESMAbCLjyXnlDY7ygDVkijm3fX4qm5pO7nf7w2k7895XDMWFYIppEvLvh5yuMgJWcEGGef/fxtUjqFY4H/99EhARb4tyXXxXj0Re2YmC/GEwakYRPNxTgtUdmmV6rEPbtX6/G3346vZVw1haS7IIqPP7Sdrzx6Cz5Iy8IKoh9tOYwLpqWhlcXH0ThsRrc/rWxqK1rwo2/WGmO2Ts+HHX1TWbb8o0FrUS4+oZm/PnfX2HBL2aY07304X68szIb7uJe0bFaLHh/H0ZmWn8sahv6JUXhlouHSBus/t3/py8xpH/rP/7aar+vrjtcJH+Ep8wH+syR3HA7RYH9AqhWMbYlP1ybfev3NSC8zwmbbCrQGXFOBLpWS6dYJ0uXcCeP6+UPeKeY51hvb24ZEHCeQNuDYBXynMKcCnqOx0bc08dt1BBZZxMRkIUESIAESIAESIAESIAESAAqwj311FOGxOrVq7FixQqMHDkSf//73826RYsWYfz48cYdtmHDBiPG6f633nqrEbMWLFhg9vvoo48wYsQIFBcXY+nSpWbdI488YvbTkJBbt27F8fvOmmX9nbh582aoyNbU1GTELvNi+W/btm14//33kZuba1apYHfZZZfh4osvdu5ilsOGDYMKbirkabvOPvtsxMfHm9CSetwXX3wRY8ZYEy31BcuXL8fChQvNa/Py8nDzzTcb8S40NNScf8CAAXj11VdbvcbsLP919lzO13FJAiTgewQoxPneNWOLSYAESIAEvIDAycJZeEHzzqgJ6kxTN5o611Rwcnd56frSinokxLU4iIakxyI9JRqHCipPOK++Piw0yAhtOw6UYPehMiPEBYvQdu/NY1BZ04jkBOC1Tw7iK9m26PvzXCKcHmzSiN6Ye3Zfc9xIcZtpm5zlnNFJ5thb9pacUohbubnQHEtFOC2zxd323ue5RohTQe67V48w67WvIzLijdvt4ulpCA8LxpjBCcahZ3Zw/Fdd22icbflHa9A3KRLlVQ0YlNYiqCmnt1ccwoVT05BTWGVelSjMviNCpLOo82/4gHgjDDrX+dNSGbiKCl3xY0211R0xDjlbySYJKymimOx3gktOHW1tFZv8dA3WGt3W1g6ts2koy2aHYNdUYwl3KtKZKs/dt9Ufa1mv+4qod/x73xYk7QkS4U5FOSPWyYxZXYY4lsGydH/s3AZGiO/QBeNOJEACJEACJEACJEACPkNA3WP333+/qe6NfvLJJ92fYuLEibjppptarevduzeeeOKJVuv0yZVXXnnCunHjxrW5r+6oopdOnlXHmXtRAU+rtu9UJS4uDir86W9/Fe7URaeiXGSk/M4/rsyePRtaT7d05lynew6+jgRIwPMEKMR5/hqwBSRAAiRAAj5GwHLEuSlCPtb+kzV32ZcF4kDbgjsuGyqiWTlWbrYcaCmJkdDQkupQUxFu6fp8/P5/rETW7R1Pwz2u23EEf/nxNPkjyIavnZuO3728w4SkvPOKYZg8Ksn10o/WHsZEccrFRp/oLvreNZZI5trZ8UBDTdbVN7uEuuO3uz9XETAjNca1KjEuHFv3HZMwKM3Ym1MOFcmcJTE+DFsknKQKce0VDZ2pbro7H1stTrohqJfjnH9OP9fuby07hMtnDjCcnCtjolr3bcn6PGl7qnOzXy7bdI+GS3jPvjLrNHW+qLrbLZec5Hxr5ZILarkeXQ7GuN9EyDstMc8OmxHvVMA7rja6PW8UUVpDa2oOO9nPriLfccXmdNoZkU7aY5Yq2mnbHOKd+2MV+1hIgARIgARIgARIgARIgAROSiAsrOv+ltC/Z9LT0096vq7a2JPn6qo28zgkQAIdJ0AhruOsuCcJkAAJkAAJuAgc74pxbfDxB3MmpeKhv2/GABGtbrxwEJ56fRfeXZkDFc4+FOfYYHF9XTK9P5J7nVoUuHL2AMyV4znLfd8YY5xlCyVco4Z6/N3dk03ISd2elV+J0QNb4v07X3P8Ut162iZ1z2noyBcfPA/9+4hocYqyL6cC44ckuvbqFROGssoGbNlXYnLQqbDmLLpt7fajzqftLh+4bRxu/eXn+K2EvHzk2xON2Kg7q2AZHxOK1N4nzpZ0P9jqrUdExBvqvsqvHp/yPaIhHRMmmmqrzROX3HrYSrbJrFMJP6lhIr2yiACvIpnWThQbJGyrCneNKsxZ4pz1WNeJY1LX6TZ1Czr2sTty6jlPY8JnqlhnxDkV7o6rKiyadSI461LdgywkQAIkQAIkQAIkQAIkQAIkQAIkQAIeJ8C/0D1+CdgAEiABEiABXyPQpsvH1zpxkvaGBAdBxSgtKnbtOCB5tqSoe+vu36/Dtv0l+J/rRpl1J/svXo6h1VmCgmwmNOP8yX3xs2c34TYRsV755UykiZCm5ymrshJzO/dva6nHuEvCSH7r0VVQUW5oelxbu52wTp12NZLvzVkam5pNCEzN2aalVpx1ztIo+ev6SN66U5XHFm7Fj24ajbyj1XhQxMtg4TZtTDLU3XfrJUNQUl6PGsk5p649DefpLvYdOFyBfsmRJrTmqc7jy9s7/F6JEDdhv8vFJXcRbKVbpcv+FrZR+qNCWSdceCYfnlOgM0sR7IxIp0tHrZbQmY7H9ubW7x+bipkuYU7FOfeqop3bc3UJspAACZAACZAACZAACZAACZAACZAACXQLAQpx3YKVByUBEiABEvAJAvkfigPlKBApIkBEilXDNVziycNOqrjQKv+VT3T2zBs5ThxlC38xA48u2IpvPLgSrz0yy+RQ68iRN+w6ilHieIuKCMEQEc/+dO9UXPrDJRL6shA3XDDQhKVcv7MYKoKFSBjLkxXd/pvvTcJNv1iJP7y204hhJ9tftw3sF4PisjrXbqWV9cjoG4OUxAhER4bgaGmty1mnopl7vjfXi9weFB6rMa68n90x3uS8Kxd33RtLDhphUMNa/vCP68zeR0vrUNfQhII/1eDZ+6e5jqChPZ2571wr/eyBpojrsBDn7Lvmhkuc7HwW2Et1tIWI0Ky1A8Wm+facAp1rKSEyNUymM1Rm4wHz+PhQmTbNWxeqwpzkOdTa1uNQWa8uRhYSIAESIAESIAESIAESIAESIAESIIFOEaAQ1ylc3JkESIAESMCvCOjgc5UMTFdlAfZm2OWfCf+mYpwR5ySsolOg030DpLiHFGx2Uxw179lVczOMoHTHI6tMOMnhGfGGivtrnJjUEabi15D0WAn/aMfz/9mL71870myOE4datIhyZw23wkV+9+qRuOany/DXt77C966x9nEe52NxmF0wJU2cZU3GBdckYp3mrHv0O2fh+7//QsSvWJOPzbl/W8ur52Ti4X9scW3avr8U18zNhDrsrpqTYXLfTZAcdVoO5FXgNsn75l7UfedewkKCxeXWAG2L5r8bOTDeCHMaJvOFn89w7fra4oPmeD+VMJbuRQXImy8e7L6KjxvKRBgvsnKrKY2kc8mkMwRUJAuV8K5aT1GM284p0BnRTsS6hgoR6bTK48ojjsdVMumgxS1quexUqFOB0LFUgc79uTrtTjGZ4RTN42YSIAESIAESIAESIAESIAESIAES8CsCFOL86nKyMyRAAiRAAp0ioIKb6Ct2tIQstNvlcW0hbJqrCVtlENraZtPB5QgR5iL7YurIWOxq6phLpVPt8YKd1+88ivKqBnwmQlG/pEis3lqEwmO1yD9agz055XhExCwVxSaN6A2nCLfzYClWyX4V1ZJzTdxg44dagta7K7Px+ZZC/P2Bc5GeEo3fv7LDhGocnhFn8qhdOz/TdYykXuF4+aGZ+OXzW/C9332BKaOTUN/QbIQyDWWpOeQWf5FnnIgvvLcPN100CFMkDOS3vz4cv164DVU1jbj+/IFm/7YwqlD2dclZ98ybuzB2cAKqahtdYpvmv3v8pR14Z0W2eemVszNc+d0aG5uNay+7sAorNhUax1u/5CgkxIWZ1z/3zh6MzIzHvtxyyffWWrxrqx26TvuioS8jw/07HKCKs2064jRXmhHcCi3RrTZflkdEC7dCKxo/ZOKk9vBxfVcQULddh0Q7uYZOoU5FOqdYp8uGcus66lJCZzrFeJtNwnDq56UKdOrmU5EuVAR7s3Q+lm1+F360Ky4Mj0ECJEACJEACJEACJEACJEACJOCPBGzyR3PrKd7+2Ev2iQRIgARIgATaIlBbAPu+v7a1pc11EpHSCEG6sfBoFVKSJM9SABX9xaC51TR8ZEdFJGeoSX2tOtoiRHzSsI59EiJFpGkbXq3kVcsvrsEAEe/UbdaVRR1sTeJuCws9MQeZ5nPraL/c26QioIa37GjR/imXmKiOv6ajx/am/X7+zKfIOmrDS3//o0NwK5ClvOc0z5kU4z6VpVPsNiud61PPlwSFU52ruPR2AjphwSXUiTDnFOrMOnE6qlgn65zXukWscxfqVKyTGqauPlkGW/kbvb3rbB8JkAAJkAAJkAAJ+DuBp556ykywmzNnjr931W/69/bbb2PkyJG4+uqr/aZP7AgJ+DiBp/17BMjHrw6bTwIkQAIk0M0EwnubAGodn5ESBFtwGF5cfBhvL1qKfz95bTc30LsOr8JZaEiQ1I63y5nvTV+rIpwWDSt5sqL7aU63zpZXJQzktn0lJ7xMz/3of59l1quw1564dzoinB60MyKc7u/koI/9udz/zRnCJgz23Hcs0U3EGvf3mlOUOZ6BrreFJx+/ms+9mYBN3tundNipu05DYDqFORXnHI+rc+TxdhMW0zlH0BYU5hDmHAKdHj9MH+tSqobGZAhMb74r2DYSIAESIAESIAESIAESIAESIAEHgU4MpZEZCZAACZAACfgqARn+rxeBRsNNapUweNbjoxIdTQZ7HSHx2uudce5ouDXNWZU0HZ889i3JedaSN6m913F9zxK44YKB0MriHQR++49VGDywP269dIRpkLsId8oWRlCIOyUjn9tBFHEVz7S2p8WrCGvEORXopNaXOpby+V11UB6XSwjTRtNzW5D8GWNCXqowl+Bw0rk9Dg4sx7LP3Q5sMAmQAAmQAAmQAAmQAAmQAAkEEAEKcQF0sdlVEiABEvB/AiKO1R9zE9ocolv9UTN4a/JV6cCtum2iMyX03WTg2EZA3RhtFCPAaUzFxLOBPjMlVJo1sNtm3qs2Xs9VJBDIBGrrGvHM6ztx6w/+AhQtha1kq8ajlPCEJxexzftOXHSI6CPvValmKe/ZoPBAxhkYfVdnXViiVdvpsU3DXRqBTsQ5XZpaDFTut4Q6DZMpxTjqjECnIp0e030pgh1z1BlO/I8ESIAESIAESIAESIAESIAESKD7CVCI637GPAMJkAAJkECXE1CHmwzA1hVZuadcSxHc1FGh7jUNXaaCW+wQWU6DTR02+twW2ro1tUWw1eTL6yyXhW40r1exIE6cPKnzxXUhA7huRYU4Z/g0t9V8SAIk4EZANWxL/JY8YGlfF+F7OpD/kXE26XusXUEuRAVvcU9VZQMlm2BvqjNHtZn3tFOY06XzPc2fs27Y/f+h01WH9Db62iyOOgl56RLqVKyTyRlVhxz3Uo11L+l3hMlH5xDoJEyxJdbpUj7vVRBkIQESIAESIAESIAESIAESIAESIIEuIsCRiy4CycOQAAmQAAl0E4FGGVQVscwKKekU3o6Iw63eMcgvgps6ZmKHAckzrNxS4UkykNrBrzjdF5ZDxyUOqFsu9QI5bupJOiVCAQsJkEDHCUSkAAOuha1ccoEVfW6FIJRXi17XqthFSLE1VgOjfyrrJS9jg4ju5jPA8f6v3AcUr3W4XFV0FzFFj62fA7oMl6qiHfOHteIaGE9UYJNrrxWZJ3TZ1lwrwpxDnHMu6yREccUe6H2nxUzEMM5pN3EuXAU7h0jH++oErlxBAiRAAiRAAiRAAiRAAiRAAiRwcgIdHKU8+UG4lQRIgARIgATOmECzuF50sL22UEQ3qbqUXG72phpzaFuo5BXSMHXRA8RZc7YIbvJYHW6a4+1Mighx6swxspoc09b3QjnHwJMekY64k+LhRhIwBGadnYFzJogDNesly5UkIQXtzQ1mmyVji2giMpz4S08Q44yo5gwd6BRWVGx3FXldvYQjdH5m6LJ0ixFZ1K1qwhIaYU4/J9xEuuAo1xH4IAAJBEWIWNvXqsd132aXe7NO3HN6X6mLrk7vrwKgbCfsjZVmb5OXToVfncChwpwunZWhU48jyqckQAIkQAIkQAIkQAIkQAIkQAJOAhTinCS4JAESIAES6CECGlZSBzidYpslvtnVnSDFFqwDpTpwLjV+rISU1IF0qcGR3dM+GUS1qdshZZ6Eohzd4XNo2D0WEiCB9glUS464S84bBLs62I4r1tun7VxxxpEUnXHcK45/KlJemIohUuNGtWwUMcVmxDn5XDGCvizLd4uQUmX2sYVKmEzn54tZiutVwxI6Rb+WI/FRoBHQsMXOe+O4vtt0ooh+b6l7TgU6h4vOcmY6xOWQGIcoJxNETNhUFenksYbSZCEBEiABEiABEiABEiABEiABEghoAhTiAvrys/MkQAIk0M0ENAxYjTgK1FXgFN7qNKykDJZrjh4dANeBz4SzRHBziG8aEqwnS7Dkoxr6PTmjunM6Vkzeq47tyr1IIGAJfLE1F8+/l4uPX7xP8nNtFg6SF84RBvakUDQ/Y2T/k+7S7kYVUyLTrOq2k00dTc7PIF1W7AWOrhE3rOSUDJKfwyqYOIU557K7xH+3dvGhjxBQt1tEP6u2arK4LzV0qlOcM0Kdir87RPytNnuaySXm/tJJJXqf6VKqCncsJEACJEACJEACJEACJEACJEACAUGAQlxAXGZ2kgRIgAR6gECDONp0gNslvBXAXi8DlFJsISJ2ab41dbn0PscS3XRAsqN53Lq9+R0X4ZxNaSOYnnMTlyRAAkJAQ0SWVYpbKO0KI7bj8LsSTrLEhII9GSB1y9lqDotQEWUJamcaflZPpqJHjNbBLadWEU6FEyPQOSYLVOxrCUMYJpMC9HPLvYYltLyej0hAgxqHyj2hNWZIKx62JhHiZOKJhlg2yzqnO1NEYSk2FXqdeQ2NOKeTUUSgY4jLVhz5hARIgARIgARIgAS6k0B1QzWiQuXvDhYSIAES6GYCFOK6GTAPTwIkQAJ+R0AGr6EDiupyc4luhZLLrdZyuWn+HB24TpQ8bk5niZ+F5qIjzu/uanaomwjYgqxscIiS3I5Dv2tcaLbCZXI2kbL1s6SNYhxE5ZKX6+hqh3NWxIkocciZmm7l5mrjdZ1eZQuWzyqHExfjXC+33HNOJ68sy3YARz4zAmJL6Fz5jItUkU7yjZlJBXIsFhJwJ6D5CKNk8olWt2IEOg2fakQ6x3dp6VbzHaq72cJ6tdyXRgSWe1S/V61Mpm5H4kMSIAESIAESIAES6DkClZWVOHToUM+dsAfOpJNrn9n8DL4/4fs9cLaePUVtbW3PnpBnIwESOCUBCnGnRMQdSIAESCCACUi+JZfYVpMv4pvWIjOAblOXipnNL4PRmsvNDErLgKGGhguAwhxxAXCR2cUzInDie0Scp0nnyufFGCDvfQkPuccIbXYNRekoRuRW4SLjBtgaK4DqXPkMklqdA5RuscLaGqecmzCnoSi7wjXnbIRxzw1p7XAyuefE8eucgFCTJ+E2N0l76t1CW4ooFylVxRP9PAyQz0InNi47SEAFuuhMq7q9xNZQJveX3GNmoossy3eJAPy5JQC7vm/1HpN7SwVg/f71Gle5W0f4kARIgARIgARIwO8I6G/0nJwcU/2pc3nNeVjctBipuamIsslvNBYSIAES6EYCFOK6ES4PTQIkQAI+RaC5Tga8HWKbcyl5b3SQ3ITQ0gHmmEFmIN2IbmGS3y1AZ+jTEedTdzYb60ECJhfk8efXPJAZN8JWsVsEufdEcKsynzPWbiLWRYvrTYs6aeNGWtWskM8i/WwywpyIcyUbYS/81HLNqbMtSl7ndM1pqMCuLCb3nIh/mrvOdWjJD2ZCW6o72PHZKeKJvanG4Q6Wz0inaBIp+cX0M5RhB7vyqvjXsfR9oTV2WEu/7I1yj4lrrsYhAutkmDJ1z9U53KIS4lnvKyMA6z1GAbgFHh+RAAmQAAmQAAl0FYG77rpLfq/bu+pwXnOcu16Vfq2046yrzsJds+/ymnZ1VUOCgjqfgqOrzs3jkAAJnEiAQtyJTLiGBEiABPyfgFN0U1eH1lqpJneTDCyrG0QH9XQAXGbd2/RxqITKYnERUCHOD/8OcfWPD0igKwjoH+snFa1jhwPDRNwvWgHbkdVySn1fSd42FbvaLPKHpLrftCZOMXtYrjlxy6ljTquKc80iXujnmBHmVJyTqkKYhqLs0iJhNzUspVZxBTuLrUFyYxphziHQFa+BvaHCYqEhBl2iiUNACYpwvpRLEmhNQB1vEXLvanUrtvpj8r2torTeY/L9Le5Se2O1Q5xLsu4x817R16o4xz/53PDxIQmQAAmQAAmQQCcJBAd39e/oTjagG3ZvlL8Z3tjwhplb/NK6l3D3/Lu74Sw8JAmQAAm0EOBfZS0s+IgESIAE/JOACS+pA3YyWOes9ep0k0HyUHGc6AB1r/Etopuf5XPzz4vKXpGAnxBQp1nKfOsz6PAi2FRM08+kjhbjmhslEwekalEHkYpgTmFO8szZGyut8JF6XCPOSb46XWqIwO4oOnFBq05mcBQjGBo3n3wOq4DiEOd0sy1c82pK21SgM+KJLOmcc6Ljsi0CKuhqjRvt2uoSgJ3f8+XLHO5MGTjTMJZ6b6ljVIXucBHrWEiABEiABEiABEgggAks3rkYZdUSGlzK+oPrcejYIWQkts7tG8B42HUSIIFuIEAhrhug8pAkQAIk4DEC4iaxchip6HbYEt4kdJoJLxkSLQNwMtgbLwN3srTpY4pup3WpLEec/4XmOC0YfBEJtENAXaNiHu1YUVfZoDuAyn1nlu9NnT9OJ5zjzDZx+1rCXLY4h/YCKs7pRAQVI6JElNNQmLo04XY71txO76WftbFah7leahOB0HIkOyZKFK91c85pWEt1/6lAp5UhB13g+KBtAm0JwOqcM8Kc/h6Q6syzGCwuTKcw5wznSmdm21y5lgRIgARIgARIwC8JvLz2ZYQEh6CxqdEsX133Ku6/6H6/7Cs7RQIk4B0EKMR5x3VgK0iABEjg9AiIs80MrlU7BtlqC6ywbMGRMsgmrgod9O0zxxLdNPcMS5cRqKyux64DR7rseB07kKoa3ikAxsVEoLKqDs2qvrCQgBAoLquW/2UCQGdKzJDO7N2xfcMkqZvWXuOs/ZtrLeeduuaqRJwr2yafmw0SvU/a6nTMRYswpwIYJBxmdxUNn6mf0a3EuQqHcOKYTHFkhVvIQXU1SZuiVKCTqi6n7mxfd/Wbx+05Ak7nXPwYxzklz2Kt5JurzpX7TGrZdtg1NKwq5kaYVlG6B4TpniPAM5EACZAACZAACZDACQRqGmrw1sa3jAinGzVM5YJVCyjEnUCKK0iABLqSAIW4rqTJY5EACZBAdxJokkFtndFuBtB0edgKOxUkH+WaA0YHZnufY+VX0sE3lm4joIOWa7ZkY/Tlf+62c7R14KFDh2Lv3r1tbfLIuojwENx2xQTcf8cMrNmcg2vvedMj7eBJvZfAjHOne1/j1PkTM9SqpnUiTphwliLKqTinjrmCxRLOMtT6XI3OsBxz6hzq7pCRxjk3XMQ5qY5ihRyUz3xnyMGCHfLZX+donzOcpbRNBTrm83Ri47JNAiIsS+5XUzHZ7GHT3xb6u8IZzrXUKUw78izq/a/CtL5O8jiykAAJkAAJkAAJkICvE1i0ZRHqGupauiFzSXcX7MaOvB0Y3W90y3o+IgESIIEuJGCT0Dycut6FQHkoEiABEugaAs1WiEnX4Fgu7BpeTYotXEOWOQZdjStCQ5ZJDhiWHiOQl5eHkhLrevTYSb3oREFoRIJ9P5KwG8Gw/oDZb7tAHtF16UWXySuaEhUVhYEDB3pFWzrVCHUbV4swp445WdrrisU1pCJGiiXKOcU5dbX1eJGf7hJy2DiaXG7oIgm32WS5+kzIQRHlnN8TDDnY41fIt08ovz9U9HXc++b+b6yWnxnhLfd+dKbcX93sGPVtiGw9CZAACZAACZCAFxO47JnL8OG2D9HULKk9HCU0OBT3XnQvHr3iUecqLkmABEigKwk8TSGuK3HyWCRAAiRwugSaqhyz0R2z0mUQzIRK0xCTJn+LCG86qKoDX7qOhQQ8QUCdE8VfiGNorUTIbLByD6o4oe6ijBs80SKekwR6hoB+RlcdahHnNAywXZx0OjEiSh1DjuopR5q9UcQTzTWnzjmpMolDJ2+4Qg4aUU4ncEjYQc3HR2dTz9w3/nKWuiNy/2fJfSXvAXkf2Bsq3IQ5EdpjpKozn/eVv1xx9oMESIAESIAE/JZAaU0pkv832YSjPL6T/RP6I+e3EiGDhQRIgAS6nsDTDE3Z9VB5RBIgARI4BQFxM8ggrhUGyhLerAFTETScOVoSJkiISR0wTTrFsbjZXwhUVFTgyJEjGDRokPd1qbHchOtD8QZpm904b5yNNGJEymznUy5JwD8JBEv+uLhRVtUeNtc78sxZwgTKtlr5OUPjWkQ5FeiM6NUDSGzyk97k9pLvDUexmQke+h0jVfOB5UtIS223OpuMa84xwUNfxwkeTmxctkVA72OtiZPNVps6RqsOApVZ8t2wygrlqveQCnIx8h0WLZUhstsiyXUkQAIkQAIkQAIeJvDvL/8tec0lAkAbJbckF2sPrMXUQVPb2MpVJEACJHBmBOSvdhYSIAESIIFuJSADn2YQ1IR5ktlVMiBq8vsYt5uEDzOimzoVpHZ3/qFu7SgPfjoEiouLkZubi9LSUsTGxqKxsREhIV7y9ayDrUc+B0q2iNHB1kqA076aUH064GpyB51O7/kaEvBRAkFhIjgMtqp2QcNCqhPNuOZEnCv4xPqcD4lyOOYyLYFOQ1v2lGtIxUPNNefKN2eHrbbI+j5Sca5sp7y/P5P3tax3TgJxink9JSAqOxbfIxAmTlCtCWebttvq5L6qVGFuf8u9H5ZgvT9ih8i9LwIdf9/43nVmi0mABEiABEjADwn8c80/rZ/jMj/6+BIaEopX171KIe54MHxOAiTQJQQYmrJLMPIgJEACJOBGoLFSHAjZVlXxzRnCTAelogbIgJRUXXKg0w1aYD3Uge+CggIjwNXU1CAxMRHp6emIj/eSHGvq2CxaCZTvkj9Sgk4Q4Nyvlm3wt6ywqe4r+ZgEAp6A/GVfK6EiVZhzVHtTjbjRxDWk3wHRmVb1dDg/aZOVa04miVRrPexwzUk7TVhkccvp91WUTBqxhQb8VSWAjhBolvtIhF4V5bRqvjkVn1XkVVEudpj8/unTkQNxHxIgARIgARIgARLoUgL5ZflIuzfNTERr78CJ0Yko+kMRgm3B7e3C9SRAAiRwOgSYI+50qPE1JEACJNCKQP0xGWjNkoEnEd1EeLPLc+MUUueDu/AWEtvqZXwSmATUAbdnzx7jfEtJSUH//v0RFSWuGW8puf+GvXSb3MPBJxfgECRCQgYw8FZvaTnbQQJeTECFOXENVWe1CHONVSLMRTi+J+S9pOKc5gHtKcdcm7RERKktlHY6hbkc+U4rNZ8HiOzb+jst2Is+t9rsC1d6BQEVe40otw+o2Ae7TFayhcmkkxgR5GKHynKQ3PIhXtFUNoIESIAESIAESMC/CTy55En86M0foam56aQdXfzDxTh/5Pkn3YcbSYAESKCTBCjEdRIYdycBEiABoO6INZDqGFC1N1SIaUjClBn3gDodpEZqmElZx0ICxxGorq5GUVER0tLSEBrqhQ4TdfEcWCA5sBokG5wMyp+k2AbdLve9CAgsJEACnSeg4fyMWy7LLI1A4RLmMkWgkHB+nnbMaa8aJEeku8tb2m1yQ5pwlo7vPJ10wpxgSovlVAQ0hGvFXql7LNeoOi01zGuchlEVcY4C76kIcjsJkAAJkAAJkMBpEjjr4bOwKWeTTHsTt347RTKi47Zpt+GF219oZw+uJgESIIHTIkAh7rSw8UUkQAIBRKA9F0N4i4tBhQgN26UOIRYS8AcCGkrs4ALJe9VoBtyP75JN73UVngfdcfwmPicBEjhdAmaSR5aIcla1Ox1z6jxVt5zm2erJHHPt9aO5zuGYy5a2ShVhxS7CvS1UXN/a1ihtqywZfrk9glzvJNBYYQly5V/JvXRQvnNk8ofeO3EjrcpIAk5SXJIACZAACZAACZwhgYq6Cnz7xW+3OkpFbQX2Fe3D2LSxCAlucej3iuyFP9/051b78gkJkAAJnCEBCnFnCJAvJwES8EcCxqUgA0KVUsWtcGJeHxkkipAQXSeZReWPWNinACOgroWDC9sX42zRzlwAAEAASURBVDQkpQoDLCRAAt1DwHwXZcn3kFXtjdUSwU/CQTpFOX3/qSvN08UuoX1UvK8+ZL4zNaylvanWaqtOVDFCon5vpkpLbZ5uLc/vrQSa6+V3l4Sv1Nyk6pbT5xpdIH601FFASJy3tpztIgESIAESIAES8FECy/csx5zH55iccMkxyT7aCzabBEjARwg83SL3+0iL2UwSIAES6HIC9cXWQKcR3g6KCUjz9kRag50ps2HT2f0RfeS0HEDscvZ+dEC73W5CTubk5Jiwk337qljrwyUkWkKEifOzsUnufJsE6LCbzhg3XKQMqFOE8+GLy6b7BIFw+d7RmniO9d7T3G3qGtJauNQSu4wLTQQ5fT9qKMvQXj3fNU1kH5Vu1aQZcn47bLUFliinoTePrIQ9X0REDbtpRLlM6/uVwlzPXytvPqOG844TwU2riruaV658J1C0HCj42Lq/4sdYwlywfD+xkAAJkAAJkAAJkAAJkAAJkIAPEaAQ50MXi00lARLoIgINZS2DmSK+2SX/jU0FB81xk3QubN6Sl6eLusvDdC+B5uZm5OfnIzc3F3V1dejTpw/i4+O796TdfXR9j6gbLiQGSLscyH4dNhOmUuW4ZthS5nZ3C3h8EiCB4wloWEqtvafKFhG71IWmopxOIsn/wAoPGZZgCXLRg2Qp1SP5tmyWa1yd46atMo3FPR/ekc9FmPvYMeFFc8yJgKguP28Iu3k8cz73DAEVdzVfnNZ+DlGubLsRoCH3jrm3e421wldqjjkWEiABEiABEiABEiABEiABEvByAhTivPwCsXkkQAJdQEDz2ZjBygNmhrW9rhi2IBm40Rn8iWfDpoOAzPHWBaAD6xANDQ04fPgw8vLyoGKcOuD69++P8HARdX25aM6eLBHhgqQfmbfIQL64QzO/IcLcP2GzyYCoOnRihvhyD9l2EvADAiJ2RUpuUq3qQhMHkU1CQroccyVbpI/NlrjlFOXUjeYp0cLl7pts2FvCXJa0V6pxzH3U4kTXyTDaZm8Iu2lay/88SsBdlLM3iEtuN1C2Dch9V76n3rccdAkT5Hec3N8sJEACJEACJEACJEACJEACJOClBCjEeemFYbNIgATOhIAMPlZLfisNa6RVc11p0TBYEvLIpi4Bdb/p4A4LCZwGAQ1DuWHDBugyLS3N1JAQP/hKbay0nHA26ctAhwinfPT9MlDFuJcAuuFO447hS0igmwno95m6yrRijpVfy+SWOyDfg/tgP7pahHTZRyegqNAVM9gS8STsrEeKS5hzhN2sk7CblVmWkFj4qeiKH4hmGGsJckaYkzaH+rjT2COg/eykKiSb8JQSorKpxhLkSjbDfuAF2NQNmjDRqiFy77CQAAmQAAmQAAmQAAmQAAmQgBcRsMkgot2L2sOmkAAJkMDpEdA8b0Z4k0FHcb/Zm+pkUEZy5ehgowpvOrtenT0sJNBFBMrLyxETE4OgoKAuOqKHD9NUJULbAnHWyM+CQbfL+6WNHDy1+VbIOQ83lacnARLoJAEV2atUlDso9YCEZC6TuSias80hyul3pQoZXlHkM0jDbko7jcNPnH725gbYwns7hDn5PldxLkjaz0ICSkBDn4ogh9ItlkAXO1QEuUkS2lKWnhKbeWVIgARIgARIgAS8nsDyPcsx5/E5KPpDEZJjkr2+vWwgCZCATxN4mkKcT18/Np4EApiAhicyA4r7gAqZ7V9/zG1QUQfpdFAxMYABsesk0AkC6iwwIlyjON9uk9xwdBN0gh53JQHfI1B/VL5D1TWuYleWY/KKCHFm8opOYPEioUvyU8IZdlPbqyKdFg3LqRNttM1R/WVFkFnN/wKYgIRoRflXIsp9aYm4oTIhS0KQG6ecR/IlBvC1YNdJgARIgARIwAcIUIjzgYvEJpKA/xB42g/iaPnP1WBPSIAETkGgTgcO9xrhDdWHTE4cRPQFeo2RcJNDrJBbnPl8Cojc3FECtbW1iIgIAMdFc63khPunFcpu4O0U4Tp6g3A/EvBlAmFJIlBonSK9aLbyyzmFuZKNVs9U6IqV71YVuvSxp75fNVSuOve09pkrzZXPLBXktJZuhb1ohUzEkZyWGpbTCInSZk7Esa5hoP2v4VfjR1tVIyUc2yA5CD8HipbLurGST3Gqlec00LiwvyRAAiRAAiRAAiRAAiRAAh4nQEecxy8BG0ACJNAuAeN6k4G2ChHfNMdNfSlsIVEtA206QNhW+Lx2D8gNJHBqAkePHkV2djaqq6sxffp0/wk92VbXm+vECScinIalHHib5GAS9wALCZBAYBNQh6yEeNbvXVTst8JY6nevhniOVbecfPd6k2tWHPGWMCcOPxOaulZCU4sj3oiI0lZ192luMZbAJKC/JUWwRfFa2GuPWHmCk861fksGJhH2mgRIgARIgARIwEGAjjjeCiRAAj1IgI64HoTNU5EACXSEQEO5DKjtkdBCUnUgUENSRfYT19sE2HRQzZOz8jvSfu7jswSKiopcAlxSUhKGDRvm3yKcDk4eegVolPfcwDsowvnsncuGk0AXE9B8qnGjrCqHttUdsUQ5dczlfWDla4tIaRG6ogbITuJE8lRR0S1Rq4QgNO6+XIeIKELisfVW27SNKiDq74jwPp5qKc/rCQIqwmq+OKk2vYeProY960XYIiWiggpy6qDzlNvTEzx4ThIgARIgARIgARIgARIgAY8QoCPOI9h5UhIggVYEag7LrHsR3qTaa/IdIaZk5n3cMBk0k0rXWytcfNJ1BOx2OwoKCpCTkwMNRdmnTx8MGDAAUVHi/vDnonl0sl+1ci1pOMpwJqb258vNvpFAlxHQyTFVWSJ0iaAhbnW7hIy2wkKqW05ErpihIurHddnpzvhA6vYVV59x90mb7Y1V4paLt35b6O8LDXepoS9ZAotAbYEIcp8DZTsljKnkRkyeKRO+JHQl8wwG1n3A3pIACZAACQQ8ATriAv4WIAAS6EkCT1OI60ncPBcJkIBFQAfydBCvfLclvjVWysCYhMTTQbHY4VaeF0/Orud1ChgCKsLt3bsXqampSE9PD4yccLADOW/Ke1DCvg68FSbPYsBccXaUBEigSwk0lBpBzoSQFoHO3lwPm8stJ6JctDjRvEbckM++mjxHe2XyT22+JcKpGGd+f6iIKCIdS+AQ0LCmRz6zQlfqte8zSwS5cdJ/W+AwYE9JgARIgARIIIAJUIgL4IvPrpNAzxOgENfzzHlGEghQAs21VrjJ8l2WCGdCTqZZg19xIr4xVFSA3hie7bY64hoaGhAWFubZhvTk2Q+/Y7kAMm8GNFwbCwmQAAl0BQF12hq33F4RuySvq3HLRVi5uJxCV7AXuY1lEpARENWRX3UA9qY6h4iok4KkRvUXKhRkuuLW8PpjqKBctFIEuc3yezQJSJkr98AIr282G0gCJEACJEACJHBmBCjEnRk/vpoESKBTBJgjrlO4uDMJkEDnCDRWiPj2lVV1cM4mA1o687zvhTLAIeJbSEznjse9SaCLCdjkngwoES7/AxHhtgMDbqAI18X3Eg9HAgFPQJ3sMYOtmipf+fUlMvFGw06LMJe3SHK+Nls5X40oJ0JXhOzkyaK/QRImWlVERJv+TtG2lu+AXVxStpDolslC2i/NNcbinwRCewFp/yUhKs8FCpdJ6ObX5TsyHUiV36smN7F/dpu9IgESIAESIAESIAESIAES6DkCDE3Zc6x5JhIIDAIa5qdccm6oAKe534LEaRQjeWPiRsqAloR9CgoPDA7spVcQaGxsRHNzc2CJbe2RL1wqOXFWAenXWO/H9vbjehIgARLoagISslJdZ1Y+WMkt11AhulZci9DlbbnaxM2HCg2fLbU6V0Q4FRk1D564pNTF703Ovq6+VjyehC3NA/IXy7U/BMRL7rjU82XyWCzJkAAJkAAJkAAJ+BkBOuL87IKyOyTg3QQYmtK7rw9bRwI+QsApvpXJLPKafGsWuQ5UqfgWLQNXzPfmIxfSf5qpAlxubi4OHz6M5ORkDBsm7otALkc/l1n+IsSlfd2R/yaQYbDvJEACHieg+dk0JKTmijW52kItoUt/O6hjLljcaN5SmqocbZUJRppbU0NwqltKf+PEiTCnbioW/yRQIdc8/2OgqVrccpI/Lmmq9DPIP/vKXpEACZAACZBAABKgEBeAF51dJgHPEWBoSs+x55lJwMcJaMgpCd+EVuLbSNhSLxDxLVM6x7wqPn6FfbL57gKchp0cMGAA+vXr55N96bJGl3wJe8ES2PpdShGuy6DyQCRAAmdEIKKvhKaUquKGhrF2inJ5Ej7XLmEsNRygEeVE6NKcXZ4sKgr2khCWWu0N0tZ9luu/aAXs+R/BFinfMSrKxY8Cwnp7sqU8d1cTUAekRnVQN3mRhKws3WqFsNRrzkICJEACJEACJEACJEACJEACnSAQ0ol9uSsJkECgE9Bk9ppfiuJboN8JXtd/FeBycnKQl5cnqQgtAS4tLQ1BQQE+c718l+Rmeh+2lLlA4mSvu25sEAmQAAmYkH8JkyRXm1QVuir3W065o2usSQQqxKnzTGtkf88C0zxxxgknwhuaYas8KG2Vz9niL2AX17Etoo9sF0EufrQIiMmebSvP3jUEbPLnsgrGGqIy7z3gwN+B3uKM0+9V3cZCAiRAAiRAAiRAAiRAAiRAAh0gwL8eOgCJu5BAQBPQkEwivKF0G+zVOY6wk+p8k3wZmtOFzreAvj28pfM7duxAVVWVccBRgHNclaosIPfflgCXPNNbLhXbQQIkQALtE1ChS11IWmGHTX53mJyzZTthP/K55JWTPF2xGvpatpu8cpK7zWNFJnrEDLaqOI5t1dnye0ly5JZshL1ouYhyIsTFiSBHUc5jV6hLTxyWCGTeItd3E1Ag4SorxRnZX8I9q7OThQRIgARIgARIgARIgARIgAROQcBml3KKfbiZBEgg0Ag011kzvEV8Q5XM9g7SGeAy6KWzgWMGCQ0ZfGIhAS8iUFNTg/DwcDrgnNdEcy4dXGDlWup/paxlqFgnGi5JgAR8lEBdkSXKlX8l+WjF/RwcYX3GqUMtdoh8zMlvFW8pTlGuXATEhnIR5VLkN9QYS5RTQYfFtwk0lAGH35HfyCK+ps4Xh9w03+4PW08CJEACJEACAUqAOeIC9MKz2yTgGQLMEecZ7jwrCXgjgWYrHJTmv5BBLp2JjpihQPrV1kAXw+9440VjmxwEIiMjycJJoP4YkPWyFcJNZ+tThHOS4ZIESMCXCYRL2MdkrTNhUyFEf6uI0IWcN+VjToJ8qBinYSFj5bdLULhnexo1ANDa9yJxyh2yIgs4w1dqfrFeMrFJhbkQcfix+B6B0Hhxx90queM+F3fcEvn9LJPW0mXSS5CIwywkQAIkQAIkQAIkQAIkQAIk0AYBOuLagMJVJBBQBNQ5U7pFquR+0zCUOnDUa5w1a5sDCgF1K3hzZ5ubm+l268gFaqyU/DXPy+BulDVIGBTWkVdxHxIgARLwXQL620XztJVJrcoSUU4cwNHi3teQkHESxtJrfsvIBCeNMqC/t1RAbK6XdmZIO/U3lwiInhYPffcO8GzLa3KBbBGDgyRM6oDrJTegiMUsJEACJEACJEACPkGAjjifuExsJAn4C4GnKcT5y6VkP0igMwSaqmUgSJxvJZthry2ALTzJEt9UgAvt1ZkjcV8S6FYCGj05Ly8P2dnZGDlyJHr14v3ZLvDmWhHhFoiZtREYdAcQLGIcCwmQAAkEEoGmGqBityXMVe63eu4S5STEtreIXfYmcVHtld9iEgK8Yo/Vzthh8ltsvOXsYwhw37prVQzOfgOQ39RIv0YiSog7k4UESIAESIAESMDrCVCI8/pLxAaSgD8RYGhKf7qa7AsJnJyAhJ6skEEfEd/MoI/mfZPZ4rZ+l4oLLv3kL+VWEvAAgYKCAmRlZaGxsRH9+vVDTEyMB1rhI6fUQd1Dr4qrVUT2Qd+kCOcjl43NJAES6GICwRKmuNcEq5p8txK+smwHkLfIqjGDxSXndMqFd/HJO3E4m7inYkUY1Krt1DbqBKls+RzXSRSakzdBRLmIvp04KHf1GIHgaGDgrZI3Tu4z/S5Ou8y6Bz3WIJ6YBEiABEiABEiABEiABEjA2wiEeFuD2B4SIIEuJtBQAhzbKAM8IsBp2LrogUD/y2UgaqSEbxIxjoUEvIxAUVGREeDq6uqQmpqKjIwMhIUxxOJJL1PuWzITv8hywmnuGhYSIAESCHQC6n5Th5lWdQyXi1NOBa/D74ooF2TlktM8bepE82QeXG1nwllW1dx3KsjJbzZ78VrYIlJkvQqLErFAxR4WLyYg91Sa/L4OjbPusWZxpyee7cXtZdNIgARIgARIgARIoOMEGuW3TUgQZYSOE+OeJHAiAb6DTmTCNSTg+wTUHaP5UkpEgNN8JCGxMpAz0RrkYehJ37++ftoDzQO3adMmVFVVISUlxQhwERERftrbLuxWwWIrFFvGzZKbJrkLD8xDkQAJkICfENA8ce6iXJnkaCuTXG05/5JwlTIpKU6caSrKqWPOk2EhdSJF8nmm2qpzrElURSuAgiVWvjv9LWfCHkoePBbvJNBnjiXs5r8vSxHnVGRlIQESIAESIAESCEgCGvryr8v/ipS4FMRGxCK3JBdV9VX4n3n/gxlDZvgEk8KKQtz3r/uMCPeXm/+CBasW4JllzyA9IR1j+49FsOTJTYpJwnWTr0O/+H4+0Sc2kgQ8RYBCnKfI87wk0B0EGkrF/falCHCbrBB1sUMlcfwN1qxvcNCmO5DzmF1HICgoyAhwiYmJiIpifrMOkT22DiheIy7Xq8Ttmtmhl3AnEiABEghoAirKOR1oGimgXMNCboc962Uxxsl3j4TtRrw40DwdtlvPr7XvxSIainCok6sOvXLc5CoR7li8j4CKqTopLk/EOHXIMWec910jtogESIAESIAEupnA058+jaeWPoWPf/AxBiUNMmerrKvEhU9eiKq6qm4+e/uHr66vxsbsjR0WAlNiUzA8ZTj2Fe1DWHAY7px5Jx778DEjwv36yl/DLv/u/OedmPf7edj1SzEEsJAACbRLgEJcu2i4gQR8hYDdyv12bANQuU8GaGKsUDiJMgM3RP74ZyEBHyLQv39/H2qth5taIbmP8j8CUuZbTg4PN4enJwESIAGfI2B+M02R301TYNPJTOqSk9CQ9uL1sIUlWiEhe0m+trDenuuahs3U0JRa649Zk6100tWRzywHX+IkmXA1XNrHCVeeu0htnLnPbEDvqZw3JX/c7ZLvL7WNnbiKBEiABEiABEjAGwioQBYZGomosCioUKUlLCTMCE+6LTQ4FOEhEk5cSnltOZqam5AQlWCe63/N9mYcrTyK5Nhk+UVmw74j+3Dvv+7FK//vFZcIp/vFhMfgzzf9Gceq5DedW9Fz6rndS11jnTmnnl+3BanT3q0c/5omnQQkpbahFtFhLSHN88vy0Tumt+mL7nP7gtsxe/jsE4S444+nx9I26Hp1venEaWdRd5/2U4su/2vCf2HB6gXG7ed+buf+XJIACVgEKMTxTiABXyWg+U7U+VYsjhj9Qz9aZtikX2OFLvJkWCVf5cl2k4AvEajJlcG9f8vgsQzAJp3rSy1nW0mABEjAOwlo6O4kCREk1VZbYAQ5lHwJe9Fy2KJkkogKYfEiygVHeq79Kg6mzJM6x8p5J+1D9uvWxCv9PlCnn4qLLN5BIO2/5Dd6ueVkHPwtTpDzjqvCVpAACZAACZDACQTO/fW5uPKsK/H41Y/j7lfvxrLdy/DZfZ+hX69+uOvlu3Db9NuMePXNhd/EN2d8E6988QoG9xmMe86/x7jLlu9ebkS4f335L7z73Xfx+vrXUddQh/NHnX/Cucb3H+9aV1RRhIcWPYTE6ER8ceAL/PLyX2LigIkmFKQe86apN+Gj7R8ZoW/5j5ab13361adYtHURKmsrjSj4wm0v4M0v38QDbz+A+y66D7/+8Nd49OuPYtqgafjz8j+bfj30t4fw1A1PGffapuxNaGxqRO/o3rj27GvR1vFU+NPwk7vyd+HcIeea/kzKkN+abZTaxlrD46YpNxkBUJ9/a+G3sGTnEqy8byWGpQzDP9f8E6v2rcKz33i2jSNwFQkEDgEKcYFzrdlTfyFQd0TEty+sASKbzEDpNQHofY5nZ2v7C1v2o1sJNDY2Ii8vDwMGDOjW8/j9wdURcehVmU4n4nvfS/y+u+wgCZAACfQ4AXUvpWo9HzbNtSsuORQulVxtkpMzdpj89pIBFA3/7bGJTzIjOW6kVetLZGKWREUoXgtoPjldr78Lo/hd2+P3zQknlOs04DrgwN+tfITqjHPMHj9hV64gARIgARIgARLwGAEV13YX7DauuAf/60G89vPXEBcZZ1xoAxIHYO6IuTh49CBKqkuMk0yFqttfuN0IcS+tfQlj0sbgG1O/YYQ77cSewj3oFdULseGxrj5pCEd1jalI1z+hPx687EE8t/I5fH/u940Qp463Rz94FIu+twiXjrsUL3/xMr4757u478L7MPAnA7EjbwdG9xuNV9a9gl99/VfmuBrmUsW/G8+5EXcsuAOZvTPx1cNfGSfdC6tewMi+IzF72Gx8POhjvLv5Xfzs0p+ZfS4ee7ER4fQgbR1veOpwI66tvn+1Oc/q/auNsGieOP5buXclvv3it/GfLf9Banwq3r7rbbMlIiQCT1z7BDLvz4TTpacOwJ9/7efuL+djEghIAhTiAvKys9M+SaByv8kFZa/YB1t4kgwOzbdEuKAwn+wOGx04BJqbm3H48GFkZ2ebcAbJycmIjIwMHABd2dMmCZNx6CUR3iUMRvrVcmQR41lIgARIgAS6iYB8xmrEAa39LrVytZVuFhfaa+KMk5A/GrYyQSZEhad00/k7cFj9PkiR2dZ95kr7JN/dsS9gP/AP2CL7iiAnYTfVxWcL7sCBuEu3EAiSMFYasWL/3ySc6EogeVa3nIYHJQESIAESIAESOH0CN065EVN/NdUIbZtzNhuh7LV1r2HOiDnG0aVHHpg0EG98+w0jfKkod6RSJslLuWrSVbj4yYux9sBa/Pbq35p1KrRV1FagoanBhLXUlRrC8fbpt+Onb/3UuNV0n3c2v4Nx/SXqgpSxaWONG04fhwSFmHCUzjCPKXEp2F2424SdPFR8CCv3yG8KKQ9c8gAykzLNOVQcHNVvFOIi4sy278z6Dg6XHsaLa1/E3qK9SOuVZtbrf86wkl8e+hJtHU8dfzOGSqQIR0lPSMf+IzIm6VZmDp2Jx658zLjc/rHqHxj+s+HY/6v9hl2f2D64dfqteGLxE/jbLX9DYXmhWe/2cj4kgYAkQCEuIC87O+0zBDTGc5nMwj66FvbaQtjEAWPLvEmcMDoLm4UEvJ9AYWEhDh48CHXDpaenm+oeW9z7e+BFLdTPAx38tUubMm6QX8+hXtQ4NoUESIAE/JyAfuaqE06rhgQv3SJOtC2wH10jolc/CRV8liV6qfDiiaJimyOXnK3msBU9Ie89cfEtsXIH955siYeeaFugnzO8jzWBLl8clTGDgUgJdcpCAiRAAiRAAiTgNQSSYpJwydhLsHD1QiNeaRjHB//zoBHbfnj+D007VXi77tnrsOD2BVDH2B+W/MGs1xCQ6x5YhztfvBOTH5mMrQ9uxaxhs/Cr93+FNQfWQAUr9xIfGY+YiBjjFsstycV5w85DSmzLpC7Ny9Ze0Tx0uv3qSTop1yoaCrKt8uH2D42rbuEdC7G3cC/Kaspcu9k0upaU9o6n59C2uReneOe+zvn4usnX4ZsLvmnO9+OLfmxW33PBPRj/0HioyDlhgExcYyEBEvBYPBWiJwESOBmBZvniPbpK/OxPAnnvyx/sfWEb8h0g8xaKcCfjxm1eQ+DYsWPYsGEDdu/ejd69e2PKlCnIyMholeDXaxrrKw05/B/JvFwkItyNHEz1lWvGdpIACfgnAc0np86mYXfDNkjCDUYkA/kfA1/9Hjj8DlCd7dl+R8qM5/5XSvv+18olemw9sFsGi/R7pO6oZ9sWqGdPFHeihpTOeQtorg9UCuw3CZAACZAACXgtAXWQPfzew5g5bCYuGHUBNH9bTX2NCVepjVaHXHV9NTRUZUF5AZqaZaKsFA0vOSJ1BJb9aBl6x/TGVwVfmdfffu7t+MHrP2glgOn+GqJSS7BMovrauK+ZfYqrik0euBdWv2CO69zH7Cj/NdubYbfbjUNva+5WqANNwz6W1pTijfVvmN10u1ZneezDx3DWgLPMefLL8s0xdFtYSJjplz5Wx19bx7vqrKtMnjyneFdeW476ppbfL/WNLY/1OG9ueFMXGNtfIjE4ypDkIUbc/M5L38HlEy53ruaSBAKaQPCDUgKaADtPAt5EoLHSCluTK3+kVx+ScEcTrfBzOvs6JMabWsq2kEC7BBoaGrB582bExcVh9OjRSElJQXAww2K1C6wjGzSclQ6kDrhe8v5wJn1HkHEfEiABEugRAirKmbxsIrTobzUJJW6Xz2xb2XY5vQzQaDjxIA85mDV8efRAK0RlaKwVuvLICpnUkQ+Exlu1RyDxJIZArLjhitfIbSEz19UZx0ICJEACJEACJOBRAlnFWcYFd+9F92JU31HQUI0PXPqAyQ2notu1k69FcoxMuJISHR5tXHDrs9ZDQzW+v1UmzUtR4U3zr+l2Fec0V5wWddhVN1Tjvn/dZ9xlB44ewBsbLNFMRb/k2GQMTRmKX33wKzz2wWPYlLMJV0680oRw/OOSP2LFnhWYP2o+jlQcweMfP24EtEvHXmryyX3v1e/hpTUvYX/Rfvzg/B+YcJkqFIaGhGLKoCmICI0wYTb12CoopiWkGbfa2Rlnm3xuD7//MCLDIjF14FSTC+/44w3tMxQaovOhRQ9hV/4uE5ZSxccJ6RPw3rb3sHDNQuMWVIFPXYSr9q3CTy75Ca6fLOMVbqVfr36oqquiEOfGhA8DmsA6m6jlLXJ5QLNg50nAgwQaysUB97mEONoogzUR1oCJhhDSxywk4IME6uvrERbG/IVdcunKd8oMeplh1vcScTbI5wILCZAACZCAdxOoLZDfdF9K+MptMu1ZxLj40VZ4SG8ISVix20RdsFdlwxY9QJx95zHaQk/eTSUbJNrFh8DQ/5Yp6SLSspAACZAACZAACXiMwPI9yzHn8Tko+kOREdzcc7o1NjeaXG3ujdPtIcEhJseac7u61XS91pjwtifQq4il21XAO76o+624shgaHrOjpaahBnr+2HCZaHWSoi62sGBrXMbZXt1dRUbNKecs7R1PnXDaJ32t8zjO13Rk+fIXLxuX3Li0cR3ZnfuQgL8TeJpCnL9fYvbPuwlojpEjn1l5RkKigaQZlgvOFuLd7WbrSIAEeoZATR5w8AX5XDhLhLiLe+acPAsJkAAJkEDXENAQhGUixh3bAHtNvuSSS7UEuXgZjFC3mieLhs+U36D2ir3Srr4iyEn+EnX2sXQzAZkDu/85cU/K7/6Mm7v5XDw8CZAACZAACZDAyQgcL8SdbF9u6ziBRVsXGeHus72f4ZErHun4C7knCfg3gac52u/fF5i981YCDZIkVUMDlWyRsEBxltNFw09KjGgWEiABEjAEGsUpm/2qxMDIlM+IiwiFBEiABEjA1wio2JYwyVRbzWEjyJlccgVLrIlX6nIOS/RMr6LEDZdxE2zq3tNJYTkSKim8D/4/e2cBZ1d1/PF5uxtPNr7xsDGSoAGCW3AIWqQ4BLfi0JYW+AMtlBpQaItDcKeEIsWhxRNIkBBPNu7usvv+8z2Ps7m5vN19u3m+M5/Pffe+K0d+V84585uZIyUQcltpmSKZKVfe56q4qmFNdPIjElk+VqRFv7yvsVXQEDAEDAFDwBAwBOoXAk99/pSs3bBW7jrprvpVcautIVADAkbE1QCQHTYEkorAhuUxZQchKIvUhbzLkSKtcNEuSGo2lpghkEoEFi1aJNOnT5dtttnG5n5LFdDR9SJTlYQrbBKbJ9IUoqlC2tI1BAwBQyA9CDTpov0+XToeHAtFzryfCz+PhYVsq/PLZWrOsMbqpdftBJG187WPqvORTn9JCTldd9jPSKJUPRlKgkZabSsy5x3FuK/mYqRnqqC2dA0BQ8AQMAQMAUMg/Qg8e/6z6c/UcjQEcgABI+Jy4CZZEfMAgfLVMQIOpUuhxmEmxFzrHbRiRsDlwd2tN1VYtWqVTJo0SSDi2rdvL+Xl5UbEperuT39ZhLkje52nn4lGqcrF0jUEDAFDwBBINwIYWLTbU5c9RJivbeGXEi17QiKNdF6QdrurgRYREjIwRGvUXqTrcbEQlfM+VI/s50Qaa8jKDgdkjiRM971JZ34lSnRO+LuGLv1e5xBUUs7EEDAEDAFDwBAwBAwBQ8AQMATyGoEMjPLyGk+rnCGwKQLRDTFr5/kfx8JOdjgwNjeIhaDcFCf7l9UIrF+/XsrKymT27NnSvHlzGTBggLRs2TKry5zThcMjYfl4kR5naujaVjldFSu8IWAIGAKGQFUIqBcUYQl1ieCNtvAzkdlvisx9X/uKGrKyrS6Fzaq6OHX7IeTwkFszV2Te+zGSsHlPJeS0D9ukc+ryrW8pE5K05TYxQz0j4urb3bf6GgKGgCFgCBgChoAhYAjUQwSMiKuHN92qnA4EdCL2JTr/G8qU8jUxC2esn5krxMQQyBEEotGozJgxQ6ZNm+Y83/r27SsdOnTIkdLnaDEh4OZ9EJs3kvl7TAwBQ8AQMATyHwHIr85HxbzPFmr0BCIoLPgkFr4cz7mGbdOPQWNt77ufLJFV07Q/+65EJz0QC6cIIdfAjHGSckPa7y0y8Z8iy8bovHz9k5KkJWIIGAKGgCFgCBgChoAhYAgYAtmJgBFx2XlfrFS5jMCqqWrR/JZaEs/R8JM76qT3g3Q+uOa5XCMrez1FACIOL7iuXbtKt27dpKDAQqmm9FFYt0BkhoakJGwt3hAmhoAhYAgYAvULATzg6De23ytm0LVAveQWj4yRNOwjVGS6BaOQHmdLZPnY2JxmE+5Rb73dYiEszcBs8+4GBCwEHJ7wRsRtHpZ2tSFgCBgChoAhYAgYAoaAIZDlCBgRl+U3yIqXQwisX6IKircluvQHiTTvJdL7Qp3sviSHKmBFNQQ2RQDibZdddtl0p/1LDQIVa0Wm6oTGKOU6HZ6aPCxVQ8AQMAQMgdxAgDniWu8UM+jCW0pDnEcn3i+RFr2VAFMvqqZbpL8eLozmlhpCU731mEOOyA8dDop57aW/NPmTo95Pd2/xPDRP+Py5r1YTQ8AQMAQMAUPAEDAEDAFDIISAEXEhQOyvIVBrBKLlsfBB8//nQvVEtjhF5/tQRYWJIWAIGAIJIaChbPGEg4zrMSQ2n2RC19lJhoAhYAgYAvmNgM4jV7yVWyIrJrn5xKKTH5VIs9KY5xzrtIp6xrfdNUa+EX595ivqsTdCw2qqAUkjDWVpUnsE1Msx0qSLhiNVHI2Iqz1+doUhYAgYAoaAIWAIGAKGgCGQIwgYEZcjN8qKmaUIrJioYSjfFFm/PBaih3k8IoVZWlgrliFgCGQlAngWoGCFhLMwtll5i6xQhoAhYAhkHAGiLeji5mzTdiM6ZWjmCLnCJjHyrY167c16Xec5eyBG0HXYT/vBDTIOVc4VABwZT5SvFgFbE0PAEDAEDAFDwBAwBAwBQ8AQyDsE1KzRxBAwBGqNQPlK9WB5SaJlT+p8HWoB3OeSWKggI+FqDaVdkDkEFi5cKCNGjJDVq1XxY5IZBJhzh7lhOg0WadI1M2WwXA0BQ8AQMARyBwG8pkrPkEjPs5X0KnCEnJQ9JrJ6Rvrr0LijSM9zlJTTNoy57Cb8M2ZYkv6S5HaOLbdx99KF+8ztmljpDQFDwBAwBAwBQ8AQMAQMAUOgCgTMI64KYGy3IVAlAktGubngpKCBWBjKKlGyA1mMwKpVq2TSpEmyaNEiKSkpkcJC8+LMyO1at1gJfQ3r5ecBykghLFNDwBAwBAyBnETAE3LMLaZhIqOTHpJIcX+dt23/2Hyj6awU7VhxP/WOe0ON1J6QSOsd1MDkUJGCRuksRe7mVdBQpOV2Gp7yK/Us3C1362ElNwQMAUPAEDAEDAFDwBAwBAyBKhEwIq5KaOyAIRBCYMMynQvjVbX0nSzSZmdVdBygCgYdOJsYAjmCQHl5uZSVlcnMmTOlefPmssMOO0hxcXGOlD7PihndIDL9eZGGbVRZeVieVc6qYwgYAoaAIZA2BCDkegyRyIoJSsi9p2Ei79U53LbXfqqGiSxKYxtf2Eyk2wkSabWt9pdfE1mp/eUuR4s065k2KHI6IyUvo4uGS2TNHI22oZ6GJoaAIWAIGAKGgCFgCBgChoAhkFcIGBGXV7fTKpMyBJZ8E5u7oUiVDD3O0snUu6UsK0vYEEgFArNnz5YpU6ZIJBKRLbfcUjp2NCVPKnBOOE3mglm3RKT3+RqOyjwSE8bNTjQEDAFDwBCIj0DzPjqHnC5Lv3MecjL+7yLMXdx+T21n0jhvWwv1jOuzhXrHKRmn3nHOw6vDgdbWxb9rG/c26SyRhq30/o02Im4jKrZlCBgChoAhYAgYAoaAIWAI5A0CRsTlza20iqQEASZNnzlMZPk49YLbVaSjesGlU5mRkkpZovURgblz50qHDh2ktLTUQlFm+gFQYj+q4aciW5ws0qB1pktj+RsChoAhYAjkEwIt1SOteCuRhZ/rHKT/i83dRv+V0IfpksImzjtOln6rhNzr6h03Rf8fr17g7dJVgtzMh/u27IdY1I3crIGV2hAwBAwBQ8AQMAQMAUPAEDAEqkDAiLgqgLHdhoCsLNP5m16OAVF6pobWKTVQDIGcRWDAgAE5W/a8KvjaeU4pGcFDoUXfvKqaVcYQMAQMAUMgSxDA07qdtjOtte2f+0FsPtJFI0Q6H67zx3VIXyEh/4giMf0lkUkPav5HKiG4Tfryz7WcWm4l0QWfSmTt3PTep1zDycprCBgChoAhYAgYAoaAIWAI5CACBTlYZiuyIZBiBKIi897XcDqPizTpoqHjLjISLsWIW/KGQL1AoGKdyLTn9bvSyazd68UNt0oaAoaAIZBhBJi3rfMRIr0uEIlq/3biAyJz3hahPUqX4Pnd82wlBXUOtOkvxkK9S0W6cs+tfJp01cAbLTU8pXrFmRgChoAhYAgYAoaAIWAIGAKGQF4hYB5xeXU7rTKbjUD5SrXaVSXBqukxq+HWO212kpaAIWAIGAIOgZmvipSv0Xkm1cNWzA7GngpDwBAwBAyBNCHQWL3gep6jYSq/Vg+5d5Xo+T7Wz02bZ7a2eR0PlQjecTM05Dve4d1OEClsmiYAciibYp1jj5D4JfvlUKGtqIaAIWAIGAKGgCFgCBgChoAhUBMCpgmsCSE7Xn8QgHybeL/IuiUxZYWRcPXn3ud4TdesWSPff/+9LF68OMdrksfFX/xVbN6XbseJFLXI44pa1QwBQ8AQMASyFoHWO4r0+YVI854SnfpMLAQ78yGnS4q3Vu88JQTpa096SNcL05Vz7uTTorfIGg1NiXGgiSFgCBgChoAhYAgYAoaAIWAI5A0CRsTlza20imwWAotHaijKx0Qad9RQlBq+p7GGjjMxBLIcgYqKCikrK5Phw4cLZFxhYWGWl7ieFm/tfA3F9R+R9ntpmNse9RQEq7YhYAgYAoZAViCAF1qXYyRSeqq4+ZAn/EM9sMamr2jMUdfrPDVK0bCZkx/WKBTT0pd3LuTUdAstpQ7RV0zJhdJaGQ0BQ8AQMAQMAUPAEDAEDAFDIEEEjIhLECg7LV8R0Pky5rwl0ZkaJqft7iJbnKxj38b5WlmrVx4hsGDBAkfAzZw5U3r27CkDBw6U4uLiPKphnlQluiEW7pZ54UoG5UmlrBqGgCFgCBgCOY9A8z7qHXeJSIst1TvuWZFZ/9Z55Nanp1qQgYRphnQqe0JJpwnpyTcXciloqLh0VUwm50JprYyGgCFgCBgChoAhYAgYAoaAIZAgAjZHXIJA2Wl5iADKBuaD04FuhHBxLbfNw0palfINgVWrVsnEiRNlyZIl0qFDB0fCNWjQIN+qmT/1UaJf1i9Tkv9CrZPZvuTPjbWaGAKGgCGQBwgUNFLvuKMkUrylCPOY4p3W9XiNDKFea6mWiA5Du/88RgBCBNIXL94q1bnmRvoaOtTN55cbpbVSGgKGgCFgCBgChoAhYAgYAoZAAgiYVjABkOyUPESA+TCmPK4KB50XrvR0I+Hy8Bbna5WmTZsmGzZskAEDBkjfvn3FSLgsvtPLx0t04XBVch4h0qBlFhfUimYIGAKGgCFQrxFo0U9Ds6vBSCHhIh9UEkhDtqdFIiKdjxJps7Max70Um0s1LflmeSbNdA6/dUt1Dr1FWV5QK54hYAgYAoaAIWAIGAKGgCFgCCSKgHnEJYqUnZc/CGxQ7xRIOELG9ThbpFG7/Kmb1STvEejTp4/NBZcLd7l8pXoXDJNI6wFq4b91LpTYymgIGAKGgCFQnxEo0vDWhIuc94F6qal33JpZIp0OU0TSYLfZ6VAR5eQcGbeFevkTNrM+S9MuEilQHPBQbNimPiNhdTcEDAFDwBAwBAwBQ8AQMATyBgEj4vLmVlpFEkJgvVqXTnlMB/uFIj3P0YniWyR0mZ1kCGQLAoWF+uyaZD8CM15R3aWG/Oo0OPvLaiU0BAwBQ8AQMAQcAsqGleyvoSl1XtOZ2o6tmavhI09STzmd0y3V0lHJuPJ1ItOe12gVZ+g8ad1SnWMWp6/kZ5POscgdrdSgx8QQMAQMAUPAEKgnCKxfv17Wrl1buaxbt05Y2B9cEyUo3lJevkEqKiokGq0IraM//mddrsdj/2etni0DW+8kTz42VJoUNpGCggKJRCK6LvxxXRBnX+xYUVEDKSoq2mRBX0PUooYNG/5kzb5GjRpVLlxrYggYAvULgYh+fKL1q8pW23qLwPrFMRKuoLFa/Go4SsLvmBgChoAhkGwEFn+l3gSvK9l/tirSuiY7dUvPEDAEDAFDwBBIPQJr54tMfTpmvEYY97SEWNZh6bTnYgRUr3M1z9apr2e25jD3HZHlEzVk6EXZWkIrlyFgCBgChoAhUCUCa9askZUrVwpz3LP47dWrVwvHVq9epcvKH7dXK/G2zi1VaahxnG/QoECXiJJcEV2rXX1RRBfWUY0aFHXrIrVbLiiIKIkW/XHN/9ii/Jrbjq03PaeiIqrkXERJOtaiaw2iFXftzxPZUK7LhogurDcuyhkqcRhV4rBC9+v5VaBEORs1auCIuSZNmkiTJk2lceOmumY7tjRt2lRYmjVr5tZsQ+aZGAKGQE4icI8RcTl536zQtUZgw3Kd8+IRJd+UhMPKVi1dTAyBbERg/vz5zjqrpKQkG4tnZaoJgfVLRCbeG5vvpsOBNZ1txw0BQ8AQMAQMgexFYMMKkbInVRulnmo9h6imS8NXplqiqr2a/KjmqeteGr0CA7r6KMvGaKjOF0T6/1oxaFgfEbA6GwKGgCFgCGQhAhBqy5Ytq1yWL18uK1as0IX1Mre9cuVqR2gFi99QSbSmTQuUYFJbVbdEpbHySU2aRNx/uCW3KMkW2964jpFuwdRyaztGzIkSjVFdAut1sf9r1kSVlNRABGtEVrvtAt2OKIFZ4ZYN5ZtSeYWFBdK8eVNdmutSrEsLadGihftfXFwsfoHMMzEEDIGsQsCIuKy6HVaY1CBQvio2oCf1nmelJ7xOampiqeYxAliGTZw4URYvXixdunSRXr165XFt87hqZY+pKZzOD9frgpgXQR5X1apmCBgChoAhUA8QoB89ZahWVM3ICeueDlIIA7pJD6lGrq0a0J2measpe30TDacfHXenRPCub9q9vtXe6msIGAKGgCGQAQQI6bhkyZLKZenSpT9uLxS2V6xYJeXl6ir2ozRuVKAEEKSQTu/arELXkR8XkWZNI+rFFVHyjQWvNX+VrWuLgEbmVEIuqktsvWJlVO8Fi0hsu8BtL1tWLuvVA89LUVGBknItpGXLVtKqVRtdt9Q127GF/yaGgCGQVgSMiEsr3JZZ+hGIqn/4FLWq3aAtFgNZmxMu/ffAcqwWATq706ZNk+nTp7tQA3369HEWTNVeZAezE4FFX4rMfktJuHNj8+tkZymtVIaAIWAIGAKGQO0QWL9MibEHlBDqGpszrnZX1+3sNXNiffiWW4t0PqpuaeT6VWP/pHP2DVIv+11yvSZWfkPAEDAEDIEsQYDZiRYtWiQLFy6UBQsWOEPgRYsW6L6F6uW2otKTrYGSOC1bskSllfI1cDb8b6GkW3FxxC14qplkFwJ41S1fHtV7qYtbi5KpFbJ0WYGuRfeXS7mG30TwrGvVqljatGmnS1td2kjbtm2lXbt2eq+NpMuuO2ulyRME7jGbhDy5k1aNKhCY8bL6fS+KhbYxEq4KkGx3phCg8ztp0iQ38XDPnj2dJ1ymymL5biYC6/Q7M+ddkfZ7Gwm3mVDa5YaAIWAIGAJZhkCDYiXgTtQwler1Pe99JYf2T30BG3cU6Xqczhn3rEhD9Yxrt2fq88y2HBp30BhVSkiaGAKGgCFgCBgCtUSgvLzcEW3z5s0Tlvnz5yn5Nl8JtyWVZFszDRXZtm2BtG5VIVt003XrQmnTmnXMi62WWdrpWYBAY43o3bhxRNq310gGlaIT51VKoRJ1ogSsErKLK3S9QtfLZMb0MvlmVIWsWRvzeMSbrm3bNkrKlWhaJcLUKSyQdREm2TMxBAyBOiFgRFydYLOLcgKBue+pKch4DWmjE8w3bJexIuPphNeTiSEQRIA46ligMelup06ddBLfDTJ16tTgKVm/XVhYKF27qnW8icjMYbEQWiX7GBqGQM4jgKUsg3cWvk1+mzXtWXi/38c63uKvI12Osw5vh/cBIvu8+G2/9sf9QDC85nhwH9ssBTpbe3XbHPcL3zjOZe33sea/31ekcXb8/3hrjpOGiSGQ8wg07SbSabDIrH9rvKmeupSmvkotthTpeIgauvxHtUolGveqT+rzzKYcICNX5lbfMJvgs7JsigDtOct6nawo3na4bee/X8JtO21xcB85+faZdXDbt4G+7eXc4L5g+8o2x/y+eO2q30f7GlwaqGsO//2aNEwMgfqCAPO2zZ49W+bMmaPLbJk7d3Yl4Vag71SbNoVKpkSlf1+1a2lXJMqv6LrAzcUWwyhI1NQX1OpvPXU6OQ0pGpHu3f1937heqWEvFy7URe2MFyxYLAsWLpZRI8dpaNJyYWRWVFSoz04b6dChs3Ts2NHpslg3YmI/E0PAEKgRASPiaoTITshJBJaPk+j8/0mky1EaRmeLjFYBIo6BAAMDE0MgiICfPJfQELkmDMzX6kzDxIrfemsNG1WfZfFXGqx9hnrenqco2KC/Pj8Kqaj7Op0UgIX3DeWZ/x9e+2Mo1zjmlW3s98f8NmuvhGPtlW9+H8q1ZIlXprH2ije/7ZVyfk2e/phX4vlrOBY8j/9BCSr+2B+8nm1fJ39ecB085hWL/ngwj7puU26vLERBSB2D/73SkHXDhg2dEpFtv3jFoj/OOfEWf5yBMMeD2NW17HadIbAJAq13jBm5zXxVpM9F+lKmISZV211FCFM5/WVtZ89X47rWmxQpr/80ai+ySPsYJvUKAdoh5o5eo/HF/OL/s6Y/EF5o9zkW7Bv4Np99bNdFaK/8QpsS3vbtMmvaTd/ucF5Ygu2qP5e6+v1+26/ZzzZ9FLZrK5TBt5W0o36bNe1kY3UbYR1vYYzGcb9m259f23LY+YZAshHgXZ85c6bMmjVL1zN0PUPnB1vtsmnRvFDJkYgj3EpKCqWkPV5NGJUluxSWXr4iwLx+LN27U8ON3/L164vUqzIq8+ZXqIflIpkzd7GMH/edrF4TGze2atVCOnfuqlGeWLo4go7vrYkhYAhsikBEOzW179Vsmob9MwSyC4H1i0Um3q+Bq/uLdDk642X79NNPpbS0VBulzhkvixXAEEgWAhBwo0aNcp4ghCfYaqutkpV0bqWzQWdInvB3nb9lJ5EOB+VW2a20KUEAZdcqnUnbK81QoqEw88q04Dq4H0WZP5dtjrGuSVAuYR3uSRsUT34f+4Pb8f6zj2v8Ong++6ta/Pn+OOVkn1fUeeVcTeXP9uMoAb1SMLgOKgf9OSgL/bY/7tcc84vfx9oToWzz7Phz/Nof92vOYZulJuGZ8KQcA2GvRAyuvXKxqn0oIVlIx8QQcAi4du8fIq22Uw+5w9IDCnM+T35EGXZV9vQ6Jz0EYHpqVn0uq6ZLdPLDEul7lQjhQU1yCgG+08s1/heeKuGFyBj0FVj8MfoA/K+u7fdkkm/zWdNus3CM/7TF/A9u+3P8Mdpu9vm2nG3fnrP2+7MFcE/KBdvPYDvp9/u20h/zbSb//TbnsO3/+22/pv9FevEEbGgTmzZt6ha2iW7Cf9bhpXnz5sLCcRNDoK4IEFYS4+7YvPJlGkpwmUuqVcsi1TFFpXOniHRS8g0CrmlTi8JQV5zturohwFx0c+ZEZbYus2ZroKCZUVm5qlx4EtuXtJVu3UqV1Ouu624a8rQeGVPVDU67Kv8RsDni8v8e17caKq+MxWwDnVi08+H1rfJWX0Mg7QhAwP3www9uqZdk3Ow3lH3QwXXJoLRjbxmmBgGULyjFvIKspjWEG+eguGG7KuUNSi6UZBAaftsr0FijqGFwEtzHtl+4xh9j2y/e+jw1aFiqXjGZjUh4JSJKxeDilYlBZaPfx5rnddmyZU7Z6/ej+GXhfzzhOYOsQ+nIGqViUBnplZLx1igmeV5N8gSBouZKwB2qmpZXRFrvoCEjNXxiqiWiz0/3n4tMekDz1dCYXY9NdY7ZkX6jH0Prr1tgRFx23BHX1vP9jLdAurGfNUQb/YKw+H6AN4Lw/4uLiysNJ7xhBG0+x/3C//ra5lNvyEEWcEi1QNz5dtG3jRClfh/31i9ENsEzif+cQ18wbOtOX4J+Hu0h97qFxoVjadmypfvPPr+wv77e51Tf11xJn/CSZWVlMmXKJEe+rVmzTho2iOiUEIWy7dZR6da1gRJwRrrlyv3M93IWF0f0+xWRLTWauJdlywodITdj5hKZPuMbnXvua9lQHtXvYBN1UuipSw/p0aOHm2/OX2NrQ6C+IGCj4vpyp+tLPRd8ouFr1AyDEHEM2k0MAUMgpQgwaNx2223lu+++q39kHCFwl/4gkR5n1B/r/JQ+TclP3JNqKMS8YsyvvQU6x/ziCbVwSVD8BEMXecUZaxQmwf8oiFCiecUZBATbKGFMDIFkIsCzlmyFJMpDyDiveESxGFQ8ciyojOR98uewn20IwLBQTu8p4D0Egv95j/x+v817Z5KlCLTaXkMmDte5296JzcWcjmI2aKUE3HEiU5/SsPNd1RN9l3Tkmtk8CpvocEaNfdYqEce8fCYpRYB+weLFi3VepUWyZMmSyoV9/j/fuKDQN/BGCd47qn379pVGC+xj8cSb9QWC6GXvNu2Pv3d1KSXPiW8T6Vv6KAmsWfBwYm5wfyxoxAUJx/iqVatWzkALss5vY7BFJBLW9izV5c5k5zUQ+BMnTtRlghJwk/UZWSfNmhbKFjrDyn77RmSL7g2lpIS5jrOz/FYqQyCMgCfn+vePjX/Lywt1DsOoTJ22XsqmjpV33h4ja9dV6Di6qfTs2Ud69+4tvXr1ct/dcFr23xDINwSMqci3O1qf68Mgdd6H6pmyn0ijDvUZCau7IZBWBBgg1jsyrkJDBs56QyKtVRlpyrG0Pm8o+b3FubdIhwzw24RNZdt7tQULh3LDK1Y8sYZyrG3bti6WPcfY763R/TnJJjuCZbJtQyCbEOAd8SRyXcuFJwFKSL94DwGvmOQ/Su25c+duopwMKiLJm/cQcg5iznsNsB30GvDblNkkzQh0OFCiU4a3UIUmAABAAElEQVRKZOXk9LWDzXvF+vmz39IHpJMSct3SXOkMZMeceOuWZCDj/MuSfsGCBQtk4cKFm6wh3iDbMDrwwjfFezDRN2C+mz59+rh9Qc9f8/b1iNk6iIDvPwb3VbWNAQztIqScX3hWMRKjPzt79uzK8KXe086TdRBy9GHbtWu3yZp9RtRVhXjm93MfCTU5btw4mTBhrM67tUg93gqktDQig/aJSI/ShtK+vbFumb9TVoJkIYBtXdeuMa/OPfdgLm9xxNzkKWtl0uTR8sq/vtWoMhpmtUtHbWv7Sb9+/aRDB9PpJgt/Sye7ELA54rLrflhpNgeBssdFylepN9wFmkr2dFxsjrjNual2bbYi4OeI23PPPStDjrEPz7h6MWfc7P+ILP1OpM8lsdCU2XqjcqhcDEoh1LzlOc8Tynq/Zj/HUU4EBWUHSjIfKs8TbfxHke//s+ZclBcmhoAhkH0IoIj0C8rI4DYeBH4f3wCOBYV3PexBAHkX9CRg2xSTQdSSsD31aRHmjOt1fhISq0US054VWa0RMHpfqG1wk1pcmIOnTn9RNVblGprzxBwsfPqLzPcBkn/+/PnO64i1/x/8bvgQgZBtfDv474l/1vQXTAyBbEIgGOUhGOnBG5/RX/Ye6fR18aIrKSlxymzWeGqi2Ia0s7Yw/XeW+zdp0iSNIDNaxo8fq32atVLSvki27BOVPr0LHUlhwTPSf18sx+xAgMj4U6dWyISJFTJ+QkSWLN2g37AW0rfvVsL0J8wxZ2II5AkC9xgRlyd3st5XY+lokRk6UO2pE7g30XA1WSRGxGXRzbCiJA0BBnujRo2SIBFH4uzPezJu7VyRiffrPJRHxubHSRqq+Z0QSnSszv0CscbiLdF5doIeMRBnKMOClucoyvjv15xj1uj5/dxY7QyBeAjwrfCeA5B0KN/94vfzn+2wBwHKSR/ay4f54j8LHncmtUBAw8FHtT10IZrT6R1evlrb4fu0z985/wmque+KrJj0o6FhLe5Nnp8K+TBz5kznLcR8SngNQbhBUCD0DbzHLGtPzLPNe26hb/P8Aamn1aPN81EiMGbjPWGhj80xBBIOYq5jx46VCx6fkHTWp07+gzNlyhQdG38rY8f+IGs05OQWWxRJ/34ifbcs1O9S8vOzFA2BfEBg3ryoEnIV8sMY9Zybs0Hb82ay9dbbuShMnTppRAQTQyB3EbjHQlPm7s2zklciUKEhKd8Tablt1pFwlUW0DUMgTxEgrEbYqhKLS+Y++Oabb2T77TV0Y76JhqR0yr/WO+RbzTarPswdRcineAtkG2HpvECmQbKxQKox+A/+Zzv8XPlrbW0IGAKGAN8H/82oDg1IOAg5Pw+k30YxieKe/ezzZB1haCHn8BiIt+B5ZxJAQMNDRpr3EFnwWfrCU5I9XnDdjhWZ8pjOVTdC54sbGChUnm02UE3t+qV5VqnEq4OHz6xZs2TGjBkulBvbEHCeVKAPwTsLwT5gwAC3ZhuyzTzgE8fZzswPBLzxWryQboRehZzzkSfYZhzHmpDSvC8QdJByXbt2dUu3bt0ciZ0f6KSvFmCMweo333wty5aucOTb/oNECbiGOu6xyBzpuxOWU64iwJyIJSWFsteeot+sAiXk1sr3o4fLZ599pvvbanu/k2y33XZOj5CrdbRy118EzCOu/t77/Kn54q91rqbXRbb8hUgDnUchy8Q84rLshlhxkoIA3giTJ092g7d4CaI4gXjZY489JK/m11ryrcjMV9Qy/bzY/DTxKp/H+7ivPswTZCsLFuiQb1jbekER4K3OUYaFF7O49UjZ2hAwBDKNAO0ZhBzkHJ4EwW328d8LSn8f3iu8rreh7JaPF5n2jIaJvFjnaG7voUrPet4HSgJ+GmuTG5WkJ89057J8rESnPiuRrW/QyPs6yUoeC+8iJFtZWZmGqJrq1ni7sZ8525j3isV7sLI2cjyPHwirWloQ4P2iD+8jVrBmHkUIOgSjFwi50tLSyoV+vclPERg/frx8+eVnMnlSmX6rimS7baOy/XZ45/70XNtjCBgCtUcAT7lvvyvXRdQgJyr9t+onu+yym/tG1T41u8IQyAgCFpoyI7BbpklEQGf5HH+39hB18vbORyQx3eQlZURc8rC0lHIHAQZ0WALmFRFXoR5d4+9R79v+Ip0Oz52bUYeSMo8K3iIsKMGwQGeNhaf3HGFgjtV5MNyTD/+UV+RrHfCzSwwBQyB/EMAAAYKOdg1ijgUFpf/vv4l8Cwn1Rcgcv2abb2XeywRtG5v3zEDbqOOAKY/qHNE6ZyDz1EXyMNjL6pkSnfSgRPpeoQaHrfLqUcIblTmTWCZOnOi8c3jfMOaB6MYrlTXkG++XiSFgCKQPASJdQMhhbIcRHmv+Q9zR/+/Zs6f07t3bLXjR1VcPVL5ZI0eOVE+dj9X7bbn0718oA3csUC8483xL39NqOdU3BDTghYwbVyEjvo6qcfgG6dipRKdM2cfNJ1dfv0X17RnI4fpaaMocvnlWdBBYNlbDtai1VrvdDQ9DwBAwBFKLAJb3or2+DgekNp80po4CGY82Qj5hhc4a0g3CDcFzzYd86tWrV+U2CjEj29J4oywrQ8AQyBgC/jvItzAshPOCkIOYY+HbOWbMGMEIizBgCEScD/Xl1xB0eTVHVesdReZ/LNLx0DR7bamis+txsfni5ryVASIw/ESk4H/Rj54nG9QzM8eJOIg3PEbGjRun8yWNdV71vF/eu7Rv375u27xtUvAcWZKGQC0RoJ/v55Hzl0I6QcgREQMDvTfffNMZquARDjHXv39/4T0mtGW+K8PB4osvvnAEXEX5Otl5YIHssnMDCz3pHxZbGwIpREAj6Uq/fgW6aITyRQXy2ReL5JV/vSTvv/+O7L33IDc9Sr5/g1IIryWdYgQsNGWKAbbkU4zAlKE6T0Qjnaj95BRnVPfkc80jjjkXsEStTrCEq+38TYQppENf2+uqK4cdy14E8s4jbu28mKKv85EiOTo3HKQbg2bCPfkF8g2LVzqqWLcS5gkLdBTOWKDj4Wad2Ox9z6xkhoAhkL0IENLSh/rCi8BvQ97RF+rcubNazG8h3bt3d2sUlznbR9qwXE2T79R5244XKd4q/Tdl2Q8Snfa8REpPU+azd/rzT2WO0XKJjv6dRLbQsU6LvqnMKelp0++YMmWKfP/99/Ldd985gx9CTEJEs/AOMCdVzj73SUfMEjQEcg8B2jofPQNjPto6dAkQcttuu61svfXWLkR97tUsfon5rn399dfy4YfvqX3mOp3DKiI77lCoeo7459ve7ETg8Se+ljNOVyOiNEg680pDdbI2C0JVfv5lhRLkFVKsRsMHHniI+w5lbYGtYPUVAQtNWV/vfF7UG0+48X9TEu6krB6Y5goRRwi6a6+91g2SP/gAz5/4cv/998uNN97oFPmJzMuAkv++++6T6667zs0pxoAbodN+5513ygsvvCDbbLONC2uBcorwNJTlo48+cp3cxx9/3BEBdPAhDSgblrS///3v3cD++OOPl0svvdQRB/FLbHszgUDeEXFlT2joq9Wx0FeZALQOeRJekveJufxYQ75BiOOFAcnmQz6x5r/N21YHkO0SQ8AQMARqgQCGTHjN+VBfPtwXfSW+wZBxhPrCswAv5JzyDJr6ZMwbLlPGcTNeElk5VaSPzlVX0LgWdyUHTv3hNg3BP1ik1YCsLyxeIqNHj3ah2iDg6IvgVcOzzTxTeL8Z8Zb1t9EKaAjUGQGMehmzT58+3S14wvLu77jjjrLDDjs48r3OiWf4Qur02mvDNATlEkfA7bKzEXAZviV1yv6DDybJ6Wc+LzOmXVen62tzUTrzqk258vlc/QTJ/z4pl+HDy6X7Ft3kiCOOdsbG+Vxnq1tOIWBEXE7dLivspgjM/5/Iws/UJ/ka3V+w6bEs+pcrRByQPfbYY/LII484EqwqCAlF0aFDB1m9enXCE6RzLpZxhMDzRBzpM88KIe6efvppOfnkjV6NZ599tivHoEGDHOG21157CQP77bffXt5++20X4unhhx+Wc88914WEwmvHJLsQyCsibvl4iU59WiI9zxZp2j27gA6UBmXXhAkTHFFN6CcGwVht8o7x3qEI492FdMurkGgBDGzTEDAEDIFcQ4DvNB4EPtQXazzoEL7dW265pbPoxbsgq+ebW/qtyIxhIv2vzQwRhrHMxH/G5o3uckyuPQbVl3f8XSJtdtFQ/HtUf16GjvIME5L1s88+c0ZyeNLj6VlaWurWeMGZGAKGQP1EAMMTPGMxCKR9wxt2l112kV133dVF48gFVNBDvPXWf+SrEV/JgAFFcuD+harbyIWS51YZV6xYK68M+0HHsvPVm7KjHHLwljqO3dSw5uuvZ8r/Pi6TVavWqSdiFzn44D6V0Vs2bChXo+3JauwRkd137y7/fm2MprVATjpxO+1LtXdgQIwd/bOYofef/niYdO5ULEce2V+NpFbLM8+Okosv2l1Dro6Tb7+bI1dftZcaSRWq3mu9ekBOlq9HztQxdIGcftoOqo/aOG/pvHkr5PU3CLe8Unr1bKOkcxc1qGqjZYmfF23mRx9NkVHfzHLp9evbXg46qE9u3awcKO2iRVF5862olJWVyz77DtKQlXvnQKmtiPUAAZsjrh7c5Pyt4rIxP4a/yV4SLhng48FC3HWIjeBE5XiPISjfmzVrVpkV5BYW1D6cHCSYD4MEGcacJSx4s2F9zfEmTZq46+N5xJAe1/u5UbwCn/TJG6vW8AA7HN7SX1NZyB834imU8JS75557HPE2fPhwZ1ELEUfZ7r77bocDc6z4Ovt1OG37bwgkB4EKkTlvS6Tl1llJwhEChnBPWJ0zyMXbAqKNQe5WW23lwj7VFGo2OThZKoaAIWAIGAJ1QYD+FN9tFubXQehfEQmACAEYWHzyySfOsAKvIqIIsPTo0aOyr1eXfJN+jQ+buHyCSMttk558jQkWal+28xFqOPOMRAiP2WLLGi/JmROoG0RjlgkE8n//+19HwDG24Jk8+OCDncGceb1l2c2y4hgCGUKAyBssO++8s4uIM3HiRPfNePXVV52hyb777pvV8zlhSPzii8/JhvXLZMgZDdW4QCenMkk6AmPHzpOrr31D/nDrIY44O+PMF+TiS4bJl59f4kgtMrzq6tfU0HSZ/OG2Q1UntEaGnP2C3P6nD+XF5091OqmLL3lFnn3+Wzn15AHyyKMj1AO7mTz73Ldy3/1fyPffXqFeUU1Vp9VEttuuk85XukD6KjnXqlVjeezxr1xe69aV61g6Kg89PFy++XaOHHboli7vflvdIU8+fqL8+leD5A+3fyh77n2fjBl9lerQGuj8wKtl8BFD5cP3z3P/Tz/jeYcNRFy8vDh4/Q1va3vZRq64fC8ZMWKGXHLpMCPiHGrJ/WnTJqLPQkS+Hy1KlH6oEYLGy3HH/Ty3ok0kFxJLLUsQyG8GI0tAtmKkAIFy9TdeM1sH2Xk2D0QAKixLd999d8E77KyzznJhis477zynaMdzjXlF/vGPf0ifPn3k0UcflS+//FIuvvhiGTZsmFr1HCmEkESwTmXeJzzdEMIgHXjggS40El4zeJOxLywo9Mn322+/ld/+9rfy17/+dZNT/vjHP8rgwYNdiJl//etf7hhWbpdccon84Q9/cAPxzz//fJNravqDddDvfvc7V0eItzPPPFMuv/xy+dWvfuUIwwMOOMCRCzWlY8cNgaQhsHC4CGFwOx6UtCQ3N6Fp06bJyy+/LDfccIPzGH3nnXccUc37MWTIEDnxxBNln332ceHNjITbXLTtekPAEDAE0o8AxlJ4E9EPPO644+Scc85xfS7m8qRf95e//MX1jYgoQLhu+k8ZlwKds7nZFiLLx2WuKEoGRlpvLzLr31lJXNUZmAL1KKtYV+fLk30hIa8JO08/5IcffnDPKf2P/fff34WgMxIu2YhbeoZAfiCAEe6AAQOEqSVOOukkZwz8xBNPOF0DUW8wQM4moX19+KEHpVPH5XLRBUVGwqXo5pSXV8jJpz4rxxy9lSPJ8EK75uq9ZfnytdrGzHW5Ms/aw4+MkAfuP9aRYzvs0FleeO4U+VA9y6648jVHej36iM5TqzJr9jJ5bOgJctedR8qDev7sOcvl0081dLXKgAGdHUHXuHGRDBrU0/0/84yd5GfHbC0btBxdOreUUV9fLmO+v9KVZdirP6hR1HI1lGrvvNeOPKK/TJ22RI1g57j0nnxqpEYraKhLI3f81t8fLOvVM6+qvOivPfDgl9K7V1t3zsCBXeUo9cgzSR0C22xdIBdfWCTRijnywAP3OiO31OVmKRsCNSNQVPMpdoYhkIUIrJiihVIeuVmPLCxccoqEVbQPJXfHHXe4+URQykDMnXLKKW7N/7FjxzqPNSZDZuJgwhhhjcoE6OxjUMzgGItqBA+4Cy+80BFoWF//73//c9vhUhM+gnlM8EZDmQ8pd/XVV1eehmKIueLwXrvpppvkZz/7mfz9739387VB/DEIv/XWW+Xf/1ZlSA3y7LPPOsKPuOucf/3117srSBsLOki/V155RSD88PIxMQTSggDW5/M+FGm7u0iDVmnJsqpM8ExF+UqoW4hz3jEsz/fbb79Nwr1Wdb3tNwQMAUPAEMhdBIg8QJ+PBaF/hhc0fbuPP/7YGVUR5mvPPffMbJuAV9w85hlWb/JMhY3vdJjIBA1ROftNka7HAlfuS5YQcWVlZa4/DhHXr18/F1YectjEEDAEDIHaIkC0nT322MOFqGQua3QSkHEYDGNc2KBBg9ommdTz0au8/tprsv9+RbLnHua/kFRwQ4m98cY4DdM4Ww4f3K/yCOEdly+9SSMvxVTWd/3tY2132m8SqpJwkz1KW8uTT4+Sf/z9aO0LNZaIpkB4SMg8ZKutStx62nQ1rA1IhBMD0rlzC/fv6KNjpFi/frHrTj5pexcCs0OHFhqtYL189N/J7rwJExeql2c36de3RPdNkdNOf07uvONw5+nWufOm06YE8yIKQl8NRXniyU/LA/cdK0cr+XjN1fsESmKbqUCgRYuInHl6obz2xnp59JGH5ZRTT5PSH/vUqcjP0jQEqkPAiLjq0LFj2YvA6pkijTXOM9a3eSwoXiDjEAgpSLX//Oc/zvIUcgxSCo82wsIQDtLPv8Y8UBx78803XQcXL7VBgwbJ7bffLi+99JJcdtllLk3Ist12281th39Q8j///PMaiuFFp+wJe815QgxCjvRQCEGWbbfddi4pSEAmZE5EsIjzc8Q99NBDlaGWCGl5yy23yAknnODIR8o6atQo5x2YSLp2jiGwWQhAwkW0E98+c/HEIacZlI4cOdJZjTJXEN8BSPR8Ezx9CcPL98BLvH3+WHgNVg888IDzyvXfzfA5ifwn3Oe9997rPIwJ8YnCkW8sxhEoupMtPn3uLQoJL4TpfU0VAHguY0F86qmnujl4vvnmG+cp7M+Ltw7XId45m7uPNgdPbBQVV111VdzkCK/3wQcfuDlBGOwQfsjLF1984ZQutG2HHXaYm7/QH6vtmvB9vCNeCKdMG4kiJ57QjhLimHaqKsEKesSIEU4RhIcpzxT1ef/99+NeQohniHEvyayfT9PWm4fAV1995e4p/RUMlviW5qqgwGTZcccd1WJ8uftO8LziIc236qCDDnJESdrrV7ylRJUAi6yaruGc1TsuE1Kg88l0OVKiZU9pWOlt8iNEZYaJOJ4xPPF5xgiLetppp7lvbCZub13yrKp/kIk+Rl3Kb9dkHwL0gT788MOECrb11lu7SDb+ZIzr6D9hSLFy5UoXwQIvsbBSmPeNaDNBIWIMxnjt27ffJM3gOcHtRPMKXpPubcb79IFZIPsxOqTfzfg/UV1Csss8evRoR8INPqxQdtrRSLhk4xtO75tvZ0uzpg2cp1rwmCfh8CIbM2a+jpO6Bw+77b33KpUpZYvVOH2+zj3Y7SfHmdMNCQcO8NO4+Au8J7dfB/d36NBcbvy/d3RqlyLZWT3YEEJYIvvv31OuuWpv+esd/5NX//2D/O2uI+WsIQPdMf8Tzuvvdx8lJ5z4tBxz3BNywP695KknTtRxUIwI9NfYOvkIqOpTjjqiUPUN5fLMM0/JGWcMcePB5OdkKRoC1SNgrUr1+NjRbEWAsJSNO2dr6VJWLhR9DIDDQuOOdTQxzL307avheXQ/sv3227vrnnrqKec95+eE8+fGW0O8HXrooW4yZdZVCaQfIZToRM+YMcNNgkq4CZZjjjmm1iEmzj33XKd0RnnLwB9BWYpyCSUo8eSrEzz+wqRhdefbMUMgLgLrFoksGiHSYX8l/DUkVJqFuYEggwjzyjZK4zPOOMOR8PlIwgEvHq/h9zvevqpuBeF8MQbw3r9VnVfTfryMSYc131S+m4TmnTlTDUCSLCgHMXgg/eD3m2wI+dWrVy9HCOIp/Kc//Uluu+22hLyMg3VIcpErk8MLh+cTg4948t577znykO/26aefvgkJ9/DDDzvDEBRQQ4cOdaTBRx99FC+ZhPbhNU4IY7/85je/cR6j8S5mPsXrrrvOhVOLd5y2FG/vu+66yxE1P//5zysNYmiHfB7hNUYuXpJdP5+ureuOAEo1wngTVYDQ3tdcc42LEFD3FLPnSuYF3mmnnZxB09FHH+3mASaiAN8MvAzSKg1aS6ShekitLEtrtj/JrHkfibRSw7DZb6j2bf1PDufcjgL1DKnITD14dwgbT18Eozm8LnMt7HVV/YNM9DFy7tmzAsdFAAMg+gEY9jD+pe/g+yL051gg0ogag6eXF4zr+E5jxETUGcLJMx3EkCFDXMhhxrFeIKboJ5IP00RgoEU+EIC0YYcccoibP339+vjfhtrk5fPM9BoyEgIOw97HH3/cTa1BPzKdgh7hlX+9rJ5wkHCF6cy63uYFqbVy1Xo13ovfZ0GnxXxrw4fPUF1WxSY49enTzv3neG3kRzVZjZdMmbJIdtjpbtll567ym+v20z7kpl7gEHd//tNgeevNs3WO9mI5+9yX5I9/2nRME86L8Jhfj7hUwyXupu/zZNlx4D2yaNGqGstiJyQHgUMOKpT+6nz53HNP581YIDnIWCrpQsCIuHQhbfkkF4G1C5SIi7mLJzfh7Ettw4YNrlBYAmFhz7xsCP9ZEBQwhKKkY+6Fud2OOOII/9d5idBpP+qooyr30fHnGp+OX3MC4SKx9uvevbsbfONhEE8YZODFwXnkd+WVV8rChQvdoAKlF9f5dP3ap+MHG0zwHhZixP/+97+v3I3lN8om71HhrwmnifI6vK8yEdswBBJFYK56vTRqI9I6Ma/ORJOt6TzeSUgXnv0lS5a4uYEYsPfs2bOSWK8pjVw9zlxHfi5LX4d4+/yx8BqyEgvavffeO3yoVv/xkiEdvJswNEA5kirp1q2bQPQgWDl7+e6775wn2cCBA503NJ4IkF586xORYB0SOb8u54A3RhLBcvt0/PxVlJmwxUHrUpRKeKOhAP2///s/eeONN6RZs2by5JNP+strtcb7j3YShZNfMOTgnQkLbRoEt29Xw8chW2kjUWpxHh6RQYFchGSjLUaJ5he8kvBAQpJdv2D+tl13BAidzfNKqCvCc6M8TcQoqe45ZuZK3i2Us4QwJ6oCJD/KzLQqMpuVZp6IA/5Oh+g8cTrf0NwPMnMzkpkr3vku3GcyE605Lb55zAVH23P44Ye7KBw1X5V9Z1TVP8hEHyPV6CxatMiFq61tPmFDqNpen+rzU12+2qbPNxVD1bvvvlvOP/98Z3iEhz+CMSpTOmDU88tf/rLSKBUjL6Z5IFIN+2mT6Acee+yx6p3xjOsXXXHFFZVQEvWGMQDi+4sQd4znMeIiLZ5h0sOwKSi1zSt4baa3IV0wPKZ/TL+MKSqWLl2atmK99NLzaghXoOEojYRLF+jbbhOLAPX0M99skuXChSv1vRjt9u26azdZvmKdRsCYtck5X4+cKSXtm7l54zY5UM0fiLHy8pgerZrT3KGbbn5XxwUVqueKhaz0nnD+uocfGe70Xgcd1EdGfnWp83C75++f+sM6ft80r7VrN8gTT36teq1GLpzm6/8e4uage/nHelZeaBspReCIwYXSuNE6ef31mqfRSWlBLPF6iYARcfXytud4paNKCG1YoXM2tczxiiRWfCzw77//fqccRDmPwpJONx1uBsco67FMpUP+t7/9zSk18QagU77LLrtUZkIIScJ0BT3qJk6c6BQ2WPJh6YpilEnXCZeBEhpLaqzSCIuB4pKOMIMCFJUMAu68805XBq9AZVCB1R/W5nSeyQtvOcLFIZznFaBY9REqE2GSZrwUgtK7d28ZNmyY/OIXv3CKT0KfsU2ICixbfZ7U89e//rU7hmUhxKIP0RlMz7YNgYQRWKMd/GXa6e9woF6ivec0CSQB7xSeQSiNjjzyyM0K15emYictG75jfC+CEm9f8Hh4G8I+GRJMB2/fVIr3XPZr8uLbzH+/j/KgVK9NWYJ1SFX5g2X0eaC4JdwX32WsucNCGxD0suYe0zbRttVFIBn49hOqCeKMxSvDwunRRp533nnh3e4/5BtKrZYtWzpvxPBJHMdjm3aVMkPosKAcgjgdNGiQuyTZ9QuXw/7XDQHeKU8I89zmez+B55h5dlDwEmYVb9oFC9SILR0CEbdqhlqMxTfgSkcRXB6F+k3pqO34wi9E1myMGJG2/JOZUUSH7GnGE4MG+uEQcITWy3WJ1yZmqo+RKiwxfsR7qrYe/Iz7aB+zVVJdvrqkT3+M72tNQn+HsTPjbMbRjG8Zk4eFvsuZZ57pwjIGPewJTR5PaMcYK+BxxxzSRM3wnnF1zStePpnchwEuOgf6hxh4MU5KtdCfW7hgoRx2SGr7/qmuR66lf9RR/WWHAZ3ksSe+lgsv+pe8995EufOuj5132eDBfV11br/tUGnUsFBJrI2h6DFg/eyzaXL7Hw7VMVKBeo2uFei1des29j8WLIiR1KtXb/Qc7dSRd3K5Tj+wSPVdC1Wvts4tZAT5F5SVq9bJbD33jTfGaj9qpfzz3s/d4VmzlqkebrVGYlmokZsmun1NmzaUY3TOt3btmlYmEc6LMt53/xeVhuMHH9xHz28m7dpuvKbyYttIGQLYvx56cER+GD3GfZ9TlpElbAjEQUAfPxNDIMcQ2LDMNVyRhvWDiGPuHEitc845p9LzAEtnlqAQKgYSjPmG8BoLKzVRGOLlFhSUpMSOZ14mJNjx5z+eBng70NnHAs97PjAwxxKQAV8wH4i3adOmOY+4oCL00ksvFZagMLAg1A1LPMGbAW8DLNYhCrEs9Eo05j/B88HEEEgJAnPe0bltuum8MrGOf0ryCCXKu4THBuFYIb+D71Xo1Jz7i0Lg3Xffdd8syH2UeygcUO75d5pK4UkLCRlUbMTbxzyRKBuYxxIL5p133tlZFTMYw0MXxZo3OCCED/Nc4pUV/CaRLl5vWI5jZcw3hTVCOihlmH+D0JBBgXSB7CfkEAqQ0tLS4GGnJMCjkZBFeAlj7cy3LEygUc7hw4c7co28Eb6zKBmYF4488OzFwAKB5AkSBxxDWfDJJ5+4coMl13uJV4fq6sx14IqnF2lTbhSvrVptGn6F+vPtpW3gOOcG8wUXvJK5v8H76MvFmvsWFMqKF1nQCtwfBw/mZGNOLxQyeISDnfcMpzx4C+Jdfeutt7pQkpBp5B8WnkGMRFCCxROUkIRgu/nmm+OGXaMN9c9V8HqIRzwXIT6Q2tSPuVDwXmceQOaHgTgJCu0szwnGJ7wrYXK+puOkVVMeNR3Phjw2pwzgx3eH7xAGP7xTvNt+Pr9E0g7ek1zbZm5DvDPeeustZ+hBWNaqFLvJqtuc5U1UC9ZVZnz5qbQt6eq+k8HvRLLySSid1upFvEQt7GepxXPPc/SSjd/JhK7PgpMgVVbPrZAiaazf3ClpwZN+N2MCvkldu8bmw8kCKOIWIZE+Rrz+AYmloo9BeWjDGTfRXtFO037TJgaNjarqy1AuiBXaeAgciJxgW0y7S7qEoKZdoM0hMgmRQiDhPv/8c2eYwjvHd47vXXXfOfo7jNE4n+8jZaXPUVU+lK82goEn4znaaeYXp6z+ewBOtP/02yCnMDKlX4dBC+Wm7lWVj3PoszBOpL9F35LnFsMewhoSXpB2n/N233131/aTFoYJCM82fYWq0q+pjv369avpFHec7y39egztMEJl2gZf/3ACeL8RVhgD3HhkXfh8/oMRmKEDoI3DYBXvulTkFS//VO+j/8y9wsOPUPFVGVMlqxwjRnyhfb1C7dMlK0VLJxEEINH+PexMOeucF+WBB790y7779pAnHz9R9VQxlXXfvu3l3bfPldPPfE6/ffp9G9RTXnr5e7nh+v2FOdkg0357fUw/9PY7E3Q8NUbn0e0it90e84p/8qmRek0v9fDuIiccv63LY6ed75Fbbj5Iv0EN5F+vxDzvLr5kmFytc775+eauvnJv/ebOlGOPf1LHH33lb3ceKZ9C/v3xI/1eNtfyFcoVV70ml1y8m87h3tQRc48+fEJltcN5nXfuzjquWSynnPqsHHfsNlI2dbFcdOGu+m3IfYOXykrnyEbPngXaDhQJc0gzljYxBNKFgJrXmRgCOYZA+bpYgZmMPc8F5TwDCKw4PQlWXZXprPbp06dKJT6KxLB4Ei68n/+c7wcL4fwZTMYjCzg/qPCOl24i+xhcMjAjPRTkQYV9ItfbOYZAnRBYMVGiK6aoN1wszFyd0qjDRSjzIW8I7xrvvapDkllxCUoWDAmwAmYAjffSN998I3jtEuIP4TvHABtyhRA/Ve2D/Ln44ovdfGPgdcstt7jwgaSDoh0vXQwWIFO8QOKQJkpoLxgfkA7h24YMGeIUNRAdCIotFFIM9MNzzUGYkAf78UrmWjySvUAKUVeIHsIUQfSheDv11FNd/f15ED6QdVg+Y2iBZzPCt45vLooqFDfgwjZL8JlgP94tEIyUG8X6gw8+6JOPW4fq6syF3BvSwOCBEGR4HzMgueCCCyrnUoMM4z9tDJ7IkJzg69sI0mHeOMhkCC88pAmRSchGFEveUpvzvEDcUX7mMUV5FBQIIu4DRMJFF13k1hCqhLv0Qvt42WWXOUUUHnHcZ6ynUUgFBa9unpmwAUvwHOa6ow2FFGMeMTzfuEcoEasTiMkwgebPr65+eIJD+kGuMe/Sn//8Z52r4Dl/qSNluQe0tTzX3Hfm2kOhikBSVnecc2rKo6bj2ZDH5paBsN2eUGd+Td4nnk8kkbTdiTn+w3cFZS39qLDBVbKrhlJ93OQ5Mm5pqaxcEyPZeacyKp01TPvq2bF5XzNakNpnDp54c85cXixTl3d0pEU68OR7SJjTqgwXal+T1FyRSB8jXv8gXr8jGX0MDGkgUPDeIYoJbT33i3aL9pV2sLp8OE7IZvoWGFVCEtFGUAcv9GkweqQ9oO2kfUUI6Y93OAKZBkHHGK+m7xxkH4aZeN1zDW0uUlU+7mCCP8xTSchx6kLZmEON9tX3nSD8+CYRChqhr0Mb/o9//KMy8km88kF20h8jzDDTIIAZBBuEFJ5hRJOByKNfQBnovyG06xBU7KNPg8RL3x1I8o9/b3mvqhLKzHib8YCfJ72qc4P7MZ5CIGiRVOblMkjzD5hgcDxy5EiHTaqy5x2aPm2m9Nsy9ww2UoVJOtPt0qWlvP2fc2TRghtlwbwb5IP3ztd2aFNGdK+9SmXyxF/KhRfsqtOyFMsD9x8rF1+0uytms2YN5W93HSnRDX+Q2TN/60JJcs7LL57u9o36+nJHwnHyICXxyGNa2a/l0l/sIeecvbPMmHadO++5Z0+pJOE4d/fdt9A8r5WF8290aXXr1kqGf3GJzJn1Gxly5k6OCBwz+ir5+QnbyeDD+rky7LBDZy51Es6rceMGmu+v5LGhJ7h8rrl6H7n5pvTqHXzZbC1urrgJE8YaFIZAWhEwIi6tcFtmSUHAT7pe8FNSKSnpZ0kidDYZJGBJ6QcQWVI0K4YhkKcIREXmvCuRYrVyxSMujYLXBp5RQcIljdmnLCuULN4zCgIHD1gULNQVS2UE8gMLYSyWvcTbh0KdcIcI1tVYF0O8oIBB0Y5CJiwQXYTAJX0vKMog+VnIByIHQgfBwhnSI56guIOsQvkDgYIlPaSil6FDhzqLdIgs0oaMQyBLsFJHIIhQSl177bXuHOqEt4oXFOZ4XWHMAMHFNkvwuYDwg9yDiERRBrEAyeQlXh2qqzNKKZRjEGYo4vAwROGBNTwkIekjv/3tb90xPLdQilBu5tALim+rwB1FJPNwQS4Tnpj7FRQs/gn1yBxxKNL8veUc8uY/nmYs5AeRgJV7UCBWTjvtNEdikRfpoUjBKw/yESEtyoKnXFUCYQZZh9IZ0o97hGcAys4hSrhyPJ7wDPAsQjiGpbr6cS4W6+THfUYxx33DI9QLJCcW/ShGeU55l1DOoZRHajrOOTXlUdPxbMhjc8sAtt7rFOU07xNeqkgiabsT8+CHd4j3h+eVdyJVAnEUFPJCac73M2PSqESknbYvc/U7SWj7HJJM4Qmpwbcn2yWRPka8/kGq+hi0d/vss49rhzCwoJ3+5z//6YxY8FZiCoDq+jIYxdCu0ob27dvXGbRAWkEcIbxPGOHgAYbwPfPevXiN8x/h3tGWQzLV9J2j7YGw8u0//6vLx2WQwA+kGB7r9NF85AHmrIQswjjLi/8e+//0d3z92BevfJCFvk2n3PQrr7/+ennhhRdcnUmffp03wvBps/btgd8XL31/LJlr33aH+03BPDCWgIxDguRr8Jx42/SvEb7vSCrzchlk4AfvRfrW3qMxFUXgXaN1bN/eiLhU4Jtomq1aNdFvUtVhGuk34x03cGDXSm+5RNMOnteyZWM3T1twX1XbvJsQfV4oQ8OGMU+9oqJCtxvvONKMJ+G8uIbru3ffNPJIvGttX2oRaNc2IsuWrnARcVKbk6VuCGxEoGDjpm0ZAjmCQEVMYSqRWKOXI6WudTHxDsBN+vXXX/+J8rHWidkFhoAhUDMCS75Tk+J5P84NV/PpyTyDkD3VeacmM690p+XrFVTqoRyBVAgKypSwhPd5BQWKLhRpKI/8vC/hc0mLQTtEWJDIohwogiB6CE1J2K2gRxNhjuIJSjEv3ksgqCRlGy8x7/nF+aSFEtrLQw895IitYGg4rzhjUJeI4CFVWlpaeSplCZaDA+E6VFdnCChCWgXJJsg2rLGxpEcI/0SYrOC8o5SX8JTBcuOhh8Ifi3aEe4KHIfnjRei9uTgG8Yq3AAQaWNHWeSLq008/dZ6NKBKDEsQtuJ9t8r388ssd6QlBhicBghcm3pbVeWp7j0gINR9iEozx6uPdDHqquUR//IEAxSMhXtrV1Y/LIR99yGYUbjwnU6dOrUyeMuMpStqQi5D1iD+npuOcW1MeNR3PhjySUQawiCeJpB3vulzdx7eY71MqSTFCAMaTVOYZL7+f7CvZV60+VEE2N2YA8pPjWbojU3jSJsRrU7MRpkT6GFXVJbw/GX0M2l/aI99PADMMfOizMK5DqsqH9or2CG86FvoMtEUY4CC0t/zHIAiCDRmixiJhCbbLiX7ngtckmk843+B/PK5p+yEIvVB2jCMwDsIIqDYSLB/X+X4ORJoX2ks8EunP1HaevHD6Ps1krX0/NNgPipc27T1SXX8nfB39FMRjksq8wnmn8z/GanybUiXeKK+oKJKqLCxdQ8AQyDIEtLl2BHzG+6lZhosVJ7UIGBGXWnwtdUPAEDAEDIGcQECVh/M+FGk1QKRRu7SXGAtd5ndMpadC2itVTYZYFtalrlyH+HU1WVR5aNddd3UhByF+sDrHQj2sjKvy4h8PoFBDgp12SCMULN4iGY8slN5BTz8seb3l8o9JbUJk+X21WVOWYDniXVtdnVGUobyC/PICkYX3jFfmeAvkmsqO4ogFJaQX7hVpUcYwYcg5KOW8dbz3qPP5BRWZPr2a1njOoVDDm43wloSoQrmCByYL88gghCHlP15nXuHlSV2fByQb4kNY+f1+XV1YSn9OvPpxDKt4PCQIWca7j8dAUOkObnj8MXckylnvNeDPqel4InlsbhnSkUcy6kk540kiace7Llf34SXB+x58P5NdF4wjwNUL7yLfkdp+Y/31SVtHNIpGx4Nj88Wtnpm0ZFOdUKbw5LsVNpZJdV2TmT7PYKb6GPHqAUHC9xZjHcS/I37NPvoMtEcQSXh3+QWDleAc33in805heIIXuPf+Jg0vQVKJPKprS+Jdw75E8vHXhtdgT7uGMVRYdtxxR7erqnY1fL7/H6yT3xdvDdmHeKzdnwR+Ek0/gaTinuL7M0Gjp/CJkEwYiPGN9vUInxPvvw+h7aMGpDKvePmnYx/zB/Ksp3LOSjxIkaVLU+c1ng6sLA9DwBBIHIGly6JqDN3ATQ+R+FV2piGweQhsHCltXjp2tSFgCBgChoAhkLsILB6pIas0lB1W8xkQCCGsg8NzW2WgKHmfJUoprMnvv/9+Z5V+4403Vs5XtzmVR3nGnGKE3yRkJgQKijI/ZwtkEESdJ5vCeaVSCVRdncmXsE4ohwjhyNxAkFiE9PTiLdfjlT1YbhRHhPYJK3AhmRBP7Pl0/RoPSTwEvGeZtwj3nmr+vETWKK7xamMeMOpEWSC7/OJDZHKP2MdcKl7h5ZVZPh9CIaEQi1dulHx4Vga9Kf114XW4fhxnXh+ewSuvvNKFBQ0qZDk+Y8YMF/6TuV+YK49wZkGp6Tjn1pRHTcezIY9klCGIW3A7kbSD5+fyNu8unpc+VHCq6sJcU62KG0urBouVEI+6OQ7xnM0KKd5K3aS3EJn9ZlYUJ5FCgKf3KGpRpEro5gudJ3Ii127OOYQ7xCAiHsmzOenW12shWBYsWFAtieDbgPD8tGHM8AAjBOOJJ57oPKWZm9Z7zPlzg+1yot+54DWkk0g+Pr/wmrQgNTA2CRsK+Tk6PekRvraq/+HyVXUec/AhtSVsEk2/qnxr2u89/L2hUbzzfUhJ2v1EDSYgPTEA4/nxhl+pyitemdO1j6gA9BPDoUWTmT/f2tati2XipPie3cnMy9IyBAyB7EBg4qRo5TgwO0pkpagPCBgRVx/ustXREDAEkoIA3i0+bEVSErREsgOBqM5dM/+/Iq3VSrdBy4yUCfLg4osvdvM6QITUFLomI4XMk0yZswSvoj322MMps/AWI2zi5gpKE4gkiDiUp8wLFwwZxXG8mlCGo5BLp9RUZ8JdosyDTESBAzHnyTPKSX0QQlRWJz4kZXDuPM6nzngDQGzFEyzACYXJPUF83j6Ml7/Ge4P5//HWKKQ4D6t77i3hI4MLnpAIJCn7mQ+P+0be4XITBpJvPqGiw8K1KISYq6YmCdcPxSjz5jGfENgj4boxrxB577tvzDigtsdryqOm45SppjLUlEZNxxPJY3PLQB5VSU1pV3VdLu1HCf7xxx87j1cMBeLNmZTM+vCd27a0sWzX8jvZaccBLpytD5eWzHzqnFanw0RWq6J+ybd1TiKdF4InoYIJC7x1jxbSs8k4adJYvftSLOTH943+iDeMSHGWeZ08bQtknP+ex6ssntl4IhIKOdwHxCsOoxLSYBvjEDzm+IbhRefn3PXpBsmvRL5zkFDBaxLNx+cXb413FuGtwwY1/KfP64kyvPpresbC5YuXn99HWGrmtqVd99ELkpm+zyfeujovTObVpVzM8Ud/J54QLpp3Hm/ERIWIAhgRMWeeD6GeqrwSLVOyzxs9erSLYnDWWWdtdhSJmsq27bYDZNQ3UX0fajozN4+Xl29KMob/h2tV0/Hg+fHOXbPmxyllgicGtuNdEzhc583q3sVgovHyr6nM/vp41/pjts4NBPB+nTixQrbdNhYBJTdKbaXMBwSMiMuHu2h1MAQMgYQQYODzm9/8xg1WUJCfdNJJ8vzzzyd0LYOjJ598UhvqbTcJ4ZbQxSk4Cc8pvBlMkoDA4hHqDadzYbXfOwmJ1T0JFKTMSYUC5JlnnnGWxGHle91Tz9yVhJNB/NxpbOM1RT2DAyX+844Gye7wPj8PBteHhXOR4DEG77znfn4tjkOufPbZZ2y6+TSYF6xVq6ony/bp+TXXeetzv2YfyjMfBpG6ojTzdec4cvbZZ7s1nliUl/vLHGkIBJLPg3nbwAYCJygcR7Hl68oxPBZQ2lWnaKquzpT1/PPPd1j40D/MVxa8N4MGDXIh7VAA4gWGUEa2ORcLb+4bCmPIuGHDhlVez37qdsUVVzgFCqTAq6++6uZecwnpD0QhnmHeUp57Qigt9hMykzKOHDnyJ96EQ4cOdbj754Iy802/6aabKucO9HnUtL722mtdXUaNGlV5Kgo9QvkdffTRlfv8BmEpDzroIP+3cp1I/fzceyi58TaEcGThXnKM+0CdIGz/+9//uhBbfp46lK6cV9PxmvIg/CiyOWVIRx6bW0+w5FlFwgR4TWm7i3L4h9BwPDe8/xDPwTkeU1qtFZMl0rSbNGte9Xc1pflXl3jjDjGjG+aKq0jdXEPVFaEuxyAzG3XQOTMr1utHf0xdkqj1NbRXECaEbw62dbVOKMUX+Ha2uj6GbzN9G+uLxP5gv4NvAhI+j33x0ojXx+Bc2j3ePy/0DQYOHFhJxFWVD0QDntzMKUe/BdIKwxjaCQxZaON4p337jAEJIZV9H8bPPQfxxzm0zYl85yCtaBMIH80CptXl4+tV3Zo2nzm9mA/OC30e2liOeZKMOoA3zxltCmv+Y8jhn7tw+XzbQ7p4tXsBO7zw6E8gpeqljzc57RyectwTvOERsPV97OrSdycn+OM9SH0UgeBl1BdDLU+iBuvAefR3IFTpi3hCjf1+rrtwH4/9zCP41FNPySmnnCJnnHEGpzupa17++mxa0zf65JNPXGQA30dMZfnwKly7rkA+/Sz/mLhZs1bKoP2H6bcsVrcnnxov19/wZZVwhs+v6sRFi9bITTcPl9v+8HXlKdOmLZeHHv5BbvndV/L3f3xfuT+4sWDBatl3v2H6vdF2LUkyZcoyufDij+Sxx8dVm2Jdy+wTffGlSXLNL2NjSb/P1rmHwLvvl0vrNq3TEmkg99CxEqcSgUJVVtyUygwsbUMg6QisVwXsklESab+nBtlPvVXo5pafAQ0DJB9aZnPTS/X1KBdTbTGd6jpUlT6TnqM0JjTZMccc4waDWIDutttuVV3i9jMgveiii+Tee+91Ctnu3bvLRx99lFGcIGwYrP7iF79IqXUgA0W8YKhzbYQBI1jj2eIH27W5Pm3nRrXzP03JWLzhCFuVYcEimlCGhJj58MMPnQUo2yhashrHKnBDkfTII49UEgcQ2bw7EI1eCYHVPWGWIGfYh7KLwTb/g/tQROJFhNIFhQoKHq4FF8Ku8X6jZIG8QmGFAob9TzzxhPNowhIZgRR67LHHnJKK7zPp4Y3oFVgo6ynPwQcf7L7bhJjEo4t08WjDWjm4j7BreEWhAIIEeumll9waLzvKBIGEoom5UvAsY41FNMe4x9QBa2bm9MBrDEUM7zbvEHjQfpA+iiTS96Qb85eh3Avuw5sNPIJ1IN3q6oyyjnL4sjMXDZixoISlfDyD++yzj1MMPvjgg84iH6x920aIKRRHYDNISTtCa6FUohzMb8b39mc/+5nDH3ILIpL9KJJQhu20005yyCGHuOP8cG+pH15nlIuFsqA0A2dPaKIoBEfW7P/8889d6D3wrkpQkFIH6rPNNttUnkb67LvrrrucIhJFJt8+2otw+42S8NZbb3UeCYTBDEoi9YNk5PsI7hCxPO88b2+88YZrlyD42Ed9wJG57i699FJH1vH+oFgE5+qO4+lXXR6ENSO85uaUIR15bG49+RZgSMN8RDyPPLPg16hRI/deVYchodlyTXhH+F7x7qCQRqkI0c63JW0yR40LWvbXWLSlacuyVhk17aqsLAo0VUY261GrSzN6ckFDkTWzYx59rVJvvc33nDaF7wjtEt67vp3MKA6BzBPpY1AP+iHB/gFtKu1GKvoYfKOZgxShPaA951tLW8JciXzP77777rh9GfoTEIqMxV555RX3/cezDGLOe4UxFoEARDD8oF/B9xyhn0R7z/3CUGbw4MGub1HTd47rwAIjGr4VtL/V5eMyq+GHfivPD200fTbqxfbhhx8uJ5xwQuXVtHXgRN+D7xbtMHjRtlJn+m7h8tFnoH9EX45vOnWmv0cfkfERaSBcD/EFGUifjDaAvMGDtoExCtfHS7+ygAlsfPfdd66dgTBCuMf0m8Lz6tL20x/i3oAF7RLfacoNQckzcsABB1TmSPsMEQt+EMYYJtFnYGGb9H7961+7aAaVF/24Udu8wtdn+j9kJqQphOyFF17onoN0lInvRfPmLbR/PVZ69ijQEKuRdGSbljxatGgo++/XVZ+bWCSGXr2Ktf9dou9IfH1a+PyqCtmkSZFMKVuuxDlev53dab+79Ss56cQ+apxXKt26NlMctf0KSdOmDWS/QV2kpKRp6Ejd/7Zu3Ui/J/N03NxIjQOrnvO9rmX2JevRo1gGKnbNm8fHzp+XyTWefd9/v0j7usnB9/PP56gnc/NMVimpeY/6plxJ/go12D3FhVJOauKWmCFQPQJfRlQBY7ORVg+SHc02BFaWSXTKUIn0/6VIYXIallRWkY4yCmEUP3URlLEojLAKDCv8OEaHkcGND2+FkpbOP4M9hGOch6AAZlACscR1XIOlJAMQhEEQCkoGQjUJykzyIX0+Iz5/fx0DpHiTdPvjrKtLw9ebsgbn58HaEKUo9UAoP2QaZSE/lPgslIc6But32mmnOS8VOvYc8xafXqlLemH82Ic1HoNg7ykRxslbPpIneaMI8+UhPcrn60D5+c8A1Qv/Ec715/G/KgxRXuMNx+AML7143hpcz0A2mA/7kHjperypCzhSfsqFleUgVfhCRNZGeF7BC4U4SvWslQU6aCYs5ZaXZ933hOeTdxGlDs8UA3oUwyUlJVkLZzYWjGcagtML3x3ef6y/+U6GSRZIMZRaDz/8cK08SPjW43lDSESUPbzPvGuQZdy7c8891xfBffs4B2Ug31Akme9JuA7V1ZlvFkrBk08+2Vmh89xRdsp33333CaEcg2WDkORbx3ci3rfEV5J64RVI+Cm+J0HheSYdFEX+Wx487rc5jzRoPzkPMorvSnAuRe4j3xtCetFWJkO4j6QVbnN92tSbclVltJJo/cLtG/fCt93kRTrcC9+W0tZyL/39qOk4adSUR03HsyGPZJQBLOJJImnHuy7b9kEOo/zHA4b2HAOjQw891BHYaS3ruoUSHX+PRHqeo53ObmnNulaZLfxcBK+4Pr/Qj28Weu5VVZnlSvBgPLTlZWktN0QHxBV9VMhdSAyTGALhPsYtt9ziyDeMcCAx6X8E+yCJ4MZ3HwKCds2P0fx1tAG0BbTR8e4Dx2jDguR7It85iB7aaj8OqSkfX56a1pSnTIkp2hpIw2AbF7yWPgEGMYgfkwSPh8tH/ZnL8LLLLhPGd/QFwCten4L0qA91o2+CwVK4XxJOP5h3KrbBhXvMuBAjr/B9Tmae6cxrc8vN/eHdwRgKEpqoFv6Z3Ny0a3P9sGH/kgnjR8uQMwo1zGlukXEVFVH3jeBdWLeuQvvshZVV5xgqFP+ebNhQoWOiWB+dY0jwmvD5eNM1bLgxvfXr6aeWy8v/mqxGbCvk+t/u5NI45tj/yN137amGvC3cf34WL16r/eqG+u5txJNn05elunJz3pIl6xzBVpmgbqxevUH1FVFHiPm63PK7EZpvcxlyZnxjqtqUmXMbNCjQ79d6fQ431WcQmrKwMIZdvPL5aykj98DXM1j+eNvgsGrVBlen8HH2N21atMnuePmQxm+v/0KJ1vZy/HG93PnsQ4L3l/94JrZq1ajyOWAf+XCf/LPz9jvT5V+vTJZ7fIpTUAAAQABJREFU/xELlx/vHPblikyeXCHPPLdB9j/goMq5NXOl7FbOvEDgnk3f4ryok1XCEMgPBBjYYeWGdd2BBx7orPkgVbDshiDBwpl5a7DCQ0mHhwlhF1ECYynJIOz+++93FnSHHXaYG5BhXcnAgwELYYoYwDCgxtKMuUOwvJ82bZoQb57wYlgtkh6WpCglTz/9dKdMZvDD9XiRYMVIZ/nPf/6znHrqqS7fm2++2Q2m8CZgQBrP4wzLxHhpHHnkkS42PoP+vffeW+644w43/wHKpaFDh7ryogzgvAsuuMCFmEPZxHl4hxG2i3mOCKEGEYV1KZaEWPES8gWvA8KeUSc8RTwJhyI3Hn4MHrFaBE+U1Vh3BnFiAAh+WOViYfnBBx+4/DkHDxBIPywXIc0g81ioOwpc4vljzclcAFhw3n777c7LAtyrwxCCAOwYvGE9GSbiuM9Y/jLpN3ljfXnJJZc4wiGcLs8QeWN1yf3jfAbs/Oc5YjDE4BWFOXNI5ZUQlgoiru2uWUfCgTMDT95DPIV4vghRhycV3wEG7TxDhNMxqR6BsAIMEg7hmY4nPO8IGCcqvCvM1wLphoIn6EFKODgfCsmnRxkg4RBPqvhjyViH61Bdna+77jpn/Y4CiyUofGP8tX6/V5Tx3xNE/lhwTb2COASP0Q4l8uxyXrhMwXTY5j5WdS/D5yb6vyaym3pXRcKRR6L1CyuXwgpK0glizCA++LzUdJyy1JRHTcezIY9klAEs4kkiace7Lhv28X7S1uMBh0co7xT9RTwVw9+9tJV32TiJFKmRXNNNvyVpyz/RjNruIrJouJJxH4h0jXnrJnppRs9r0VekSBWbi0aIdDgwbUVhLEB/Gq9dvItovwhFjEdRfZfq3jXfztcWI4xdGKPEE98mxyPhOJ92IkjCsS+R71zYKKmqfAivWJPgdeY9iilPDw3xXJME+xbxjGrC5QumB4nl55wL7vfbpOfTDLah/jjrYPoYwNHnrk7AmLF4XQVc0vX+pDOvuuIB+YxOAw9BngXGrX5+4rqmuTnXHXXUMRqNYY089sQkOe2UQn2nNpJHm5Nuqq/94IOZcusfvpKzz+qvhjlL5L//myXPPn2Qlr+pvPmfaXLX376Vp544UMm0Ann4kTEyfsISR6689nqZ/PPe0XLG6VvK0MfGySUXb+OIGX9+u3aN5dGhY+XL4XMryZjnX5ioXp3LdQzRVt55d7r069tKdQYVQtjGefNWyb9fm6rRMlrJAft3kXv+/p3ssnOJkh8T5crLt5fS0hauPH+7+1t57pmD1Kt1QZXlHjt2sXz19XxHwr33/kz565/3cOTfX+8YpdEjWrg82X+WEm/7a15eIMduve1rd92hh3TTfntLSbTM/fu1lhv+70sp1fSLixsI6Z9xel854fheSgiudRiVTV0ud92xpxpBbVq+22/bTagXZT7s0O4a5pRw/yL337uRxPJlDK9fGTZF+3OrtD/XWN7/YJb87c493X145tkJjhxr1aqhvPX2dLnmqgH6XS2uMp/Jk5fJuPFLpFzJN0g2vOPC93fbbdrovZrsvBKvv/FLl2bv3i2FvHr1bCnDR8xzZOBJJ/bWssxUw5LVLuTnKSf3cfc4eM6ZZ2jfJEdkwoQKef7FDbLrbnsYCZcj9ywfi2lEXD7eVatTXiDAwA5vIrwRCOMFOXbsscc6cg3SiQEARBPED1aExJQnlAhEDzJo0CC54YYbHEEFSQYJxeADJTHhuCDhkKc0tjwDAQYxhMPCqvpXv/qVOwZBBPlE2DEEpSpEFtZqkDYQYBA7hBhDmcs+QrbhtUAnmoEf4bsgxcLCIK2qNFAiQVYRmgWyinJTd8g5FKSUAQ8JwtxBqg0ZMsSFQiMPPOAgxiDeUM7iOeFD6RDuAyXCeeed565lAnNwQarDDyKL8C+QbgiDhCBOYIBCgkEe5UTxzoACgcCDUGWOFu4XYQdRrJIvdcPjDDKwtLTUWbOTBphVhSFWnZCNDMAZpHAv8RAhfwSSlrkXIEfx5sCacNddd3VK4xtvvDFuuhB/PAekBynHgBligWspF0Ru3pFwgLXoS5FohUi7PfiXtcIzwXPDgjckpBxhbfDURHFAWB8W3omqFAxZW7ksKRjfFkjnM3SODRTaKMASIYp88QlvyXtJWErvLYABAEoFjgW94fw1yV7XtQ6Ec6LstB+8+yjfeP/5rvAfBU62CN9Q70GcLWWychgC6UIAIxk8MTGYok9B34++IiQJBlbVkcPpKqPgsdViS80uZiWetnxrnZGWr8P+ItNfivUBmDsuJ0S/x23U4wCPvpJBoqxn2kpNXwQDM/rSGJ1gYML4gNCB1Xk6pa2AWZIR4xCMYarzGM+SotapGInMNRkvGkedMqvmInBGMEhItkDq1VTPIHGX7PzrU3r0uYnigPEoxDVjesb3mRb6vieccKKGbH1FHhk6Wo45qlBDtWd7uyaq3+kiN+MR1q25QJjcfc+3MuzVMjn/vK3koAO7OnIJbAkV2U/JptE/LHZQH3pIdzefW+dOzeSlFw5xXm90/yGjvBz7sx4a2jJGdH3//UL5z1vT5ZGH9nOHv/12oXpalTvSiJCU9943Wg4f3F1KS4tdeMTJOnfbLy7Z1v2HrEP2G9S5Mv3qyg2BCIk2+LAtpH27WBSne+/7Xg0mi+Xkk/q4tDgnLBBWhxzcTY2oY5FkalNm0uqpRBfeZlcocXjwQd3kpltGOCIOYqt372IlumLYhcuHB91ee3Z0+Pz8hN6OwDvqmDfUcArv15hOLVxW/o8cuUA+/2KuQOQhY8Ys0T7fKjUoXykffjSrksjTrqD88tefy4vPH1xlPhBqnTs3kz127ygHHtDVkZXM1xe8v6/+e4rejxbOa+6zz9vIR/+dpfVq6bwb8XzbZZcS1TkQIaRQdtu1g85Vul484YYHZPAcV+Ac+GHux/d0XrhBqgfF4N/EEMgUAunrvWeqhpavIZDDCGAdjzLYWyXi6QUpBxEHyUK4MzqKEE7E9fdzBFBlCCrILM5l0IzVO6ReeHCBhWtQgkpXPOAg8xhwo5D1cyx5Zb+3xmRgjqIZ5S3eWBA4CB1pPK7iSXVpEK8fYoEys2CVyIDWeylAQlIW5kyCrIRAgnjEowxFuCfMIALD3nh4F9Hh5xwIMAZyePZVh1+88gdxQvlFOZhX6vjjj3f3BI87Qr2hLKMuCPMc4dE0ZcoUp/hmHzhAzFEfT3hWhyFpEN4FwhMBC+Y0Gqregl4YlKJE33fffV3e3rOnqnR5viiD94wgTTwQ/bMRrKvPI+fXzhvuM3WnUav4glis/Fyok/daghxmfjNIFBbebZ53BrH+HO4jxLtJzQhAnPPOYtjANxcP1toI94P3jm8S3yHeKb7P7MdT13/vapNmbc+tax0wSMCYAmMElPw8NwxOMBKgDtkgEHAYUfCsY+HKvaJ9Sgeu2VB/K0P9RADijQgEkPoYYbDGEIq+EOQbfSyMBrKmjS5fqfGMZmS9cUvl01Ss/d/Gn8ZCVG5xauXurN9gTtt5H4ksHS2ShrniwnjQV2U8ghEXIZk/1AgKrOlr8jxitEd/pD4K3oKffaZ9SxXGX4wJvGdYvuARnM81U3Xie0jfBWE+PJ69I444Iml9AsZ1WWHYkCmAU5wv/WWINxYMStAVEOnFj1dTnH3CyfMdO+aYY3VcUCIvvvy+lrNQDjmoUJ+zhJPIyIlFGmoSsghhPrjRo2OEUWGhMmtO1D1LZeN/dbTWawhDCFHkQzDS345JbN2yJSHbY+m+8+4MGaCecF7wuJsxY4X/u8karzgIpbPP/UB+de0OSmjGpueAsEJ8H6aqckP+XXbFx2rcuFAuvyymY4Jku+MvGw1pSUtVYpUCSdhL63Lr7zXqzY9SmzJzCeXxc8CBY5nOg+eFY17ila+oqNDh6UM7tmnTWHVCyx2+/rrwmvCPO+3YvnK3D/OJh9oWgRCfOw8skT/+eaQrT035eEzi3d/jju2l+qjV8sabU2W63jtPcg7at4ucdMrbcvFF28ixP+tZWZ7gRiLnBM/P9PaKFVF59bUKmTpN5Fjtv3gdV6bLZfnXXwSMiKu/995qnoMI4LVWVcNBZ3HMmDGOdKNqffv2rezY0MGBbCJUJd5m3uMtHgS+M8QxiEC8q/7yl7+4cEd4msUTzsMykME38e5R4qLM9RIv1r8/5tc+DQg/CIagUCYUsVjN+XSD9cOTA88wvLrwlogXZx/yilCZEJRYkKPIhSTjGrCpDr9gWfx2ECf2ESbzr3/9q1oLrXDhJsGAEJp4oyF4nECUQphRdkJKxhPKXx2G77//vgv36a+FaOEeofyHhOE/dWPfbbfd5rwWCadZXbo+rarW4bpWdV5O7V+kIamiGoKw7e45VexgYfFkZUEZxtwWvP/MEcSC1xzPAgpb3hmeDZZgmLtgWvV9GyIdr1es2OtC7vCOEN6XBUV5XdLY3HtQ1zpAtvlQU5kqe011p30hHDGLF2+g4v/b2hDIdQQg0/Gip6/D3FKsmTcQIxn6DbzjGO0kOxRr0nBbNibmodW8d9KSTHlCHQ/Ueacfk8jKMo3jWpry7JKSQZHOedpyq5hXXAaIOF8HwifSp2ZBoQ4Bxby2tIelpaVuoY+SifbQlzHdawzg9tlnn8psGduYJB8B+rZEYmHxYn0Cj0R2rhnHE0qZsTftG4bBfDsYo3pD0OwsubiIJHzTXnrpebn3/tUy+NCIGh1sJGKytdypLBfzjC3WEI1BqUpfUFQUkceHHqChEb+X8y74UMM57iUDB24knIJpxNvebru28tij+2voyq/l9DPfc6E24QjnzVutfaJ4V+g927OTej7NEEJuHnF4qTupNmWOn2r8vfHKF//M6vdCJo4evch53fkzIUMLCiIypWyp36Vj/2ZSEAmwjpVHfrpR1T3hzE8/nePCg958084aaWGF83hj/8UXba2GmC3ljju/UePxZXL1VbGoS8EsqzqH67NNRo6q0NCp5dKmbYlGzfq5m+Ij28po5al/CNTvFqT+3W+rcQ4i4Of6oeh4axDS0QvW0l6wBOS4FzyigkpLFMQomhkUBr1kCMeGNRpC2BkfUtGnA8EEgYVCKByGw5eNwTehLjlOOa688ko3aTbl83Pa+fTC63AaEAV0OoJ122mnnVzYvQ/V6tYLnhHk5QWvuGuuucbNqeX3kQbXkB6dfEJt+lAmnIOCgEEzUh1+KKd9OTk3Hk7M5VVWVuZCZKIwI8QdISsHDx7MJfLss886rz7ISgYgwfBqlI8F4d5UhSFhNrGA9wQMa0KRYp3sPeRIg1B4WIgSUhJckOrS9Xm7E/UH3Pw+npcgZv6cnF5H1+vccJ9qeCf1hiuMhbjI6fpo4Xn3CKPDcwcBy9yMeDRBbONFwdx/kMBPPvmkCydFWEsI7/D7nus4bE75GawkQ2GYjDTqWo/NrUMmy15dnVGw8Z0LLtUNLqtLy44ZAtmAAP0Kvs30ZWiviWCAEQ0eNZAaGFAQ6pq5JwkvTtQBDHyyloQD1MXfaLyrvjEyLhtATqQMzTT8bgslDue+m8jZ2XOOhtSOrp4tsnJyVpQJTzi8lP+fvbMAj+u42v9ZoS2yZVtmkJkTBx2O0zAnDTTMTdp+adKU26//rymkkDalFMLYhhtoOA064MRBx3bMJJMMsi0LLL7/973rsVfrlS3a1cI7z3N1716YO/ObS5p3zjm8Vvn/Br9J+P3N/wFosc/rnB3xyZ5Y79D3FMVKpc4nwG+VUM5c1jdB53PuSI58x/H/4unTp/vvN8aypyUjB6jeeOONflz2adOmxb0I5xhQOPzGN75p48bvjzhnDZga0dcR/N/d7RMvc/c/PMsT0lWEvodged28CfHDGht39iXxuO3dEX5V3H5uvnlzLb5PgoLQ0V8ajDAJ63eIN1VV9RiI2LgDAY9paAie7513SuE1pM5u+Nbeds3VE+2Dmet27Be60FK56QaRLi4ZY61HjyxcVxV2+GH97ZX/rvJdLvK46upgfG+XX15ehv321wfZLX+YBU9IwX6utpSZ+bRUHncON49UvtBjg3kxP3dE5Dnj2L351mr05632zz0DseVYV7q5pEDHOG9MixdvhfebXPyPn9+sjNzGc7jzUACtrd3ZJiyT28Z9771/Piy2e/pC38aN23ZsY33oipNuR995t5S74v/jNAwM23mtRNrH3zGO/qxc2WR33dNoL73i2eFHHIM+s6slwsVR+6R6UdLxIrwx1SGo/glGoH6L2ZbPLFB0qFlanPsGAFp2dtPVIv85a2uiC0UKOBRR6NKQ1lZ0H0YXkLSo4qgyul7kyEB20PAjl5ZX7MThPrSScqMx+c8gLa1o1Ua3li7RmobWYPwwplhFQYeuEyn48B8bHsfOIgpN7NR3iSITj6P1zV133eW7R2RcOFpXUAigC02KfOxIKsYoskgpUh78R4p146haurikSxf+w8V60mqD7jD5jz2FP7rGcYniF2MkMbaaS4sWLfJHkF8Gf/OsMy3U6DqOrp4Yf44jzxk3jRZyLfGjSElLN4qYHInO87AtwzmRBa2S2BHB9iArrpuGfzKYyJb1oqUSBTR2TDCVlJT4bcw6sg3IOxJDWvSxHoy7wNG2rl3ZuUG3muzIo2DJzpCvf/3rfpnZqcdrgm49KdJEypf/WPz5z382BiY/5phj/OuHHSnMnzEAKRiSO60MOWqxtYlWkBQcWddQ4be1x0d1P8aGq1yCoIcQtRPgGdIeFhS0yZ73EK9B3i+M4cL7gNcSnxGMX8Z7lPcw/znmtU5hjvcgxWZ1arSHvI4RAREQgeYE6IaL31G0BuBzd+bMmb4rPz57+c3G5zK9HdCNOF3ZcQAPXXXRrXV7vh2bnz1Gv+rKzCv9rwX6Hw93Cr1idNJOOk03xI9Z/wbcVGKeXdRJmUY5m4x8C1SXIDDyKrinDLrqivIZW5U9v3tpfc/rl9+UdO/HgWz8f4aD+njN8xuc34j8zpRQ1Sqs2kkE4p4A73O+5+idg4P9KMCxP4Hu3umN57zzzvNjvPP/1Hi3gGsJNv+fHTlylN83sWjxOljZbLYt0KX69wvgWdY6C6WW8u6s9Yzp9W8IKXSlSNeM9z8w33eJSAuxV19b5QsrvQqzMcA5xx55dLHNgcBDd4iffoa+EQhbmXC5OGlSL98t41NPL9ux/+TJveyxx5fYQ3CTeNqpw9Efk4OBv+V2511f+FZTq1ZXWdmmWhuPuHPT315rr7+5Gs/4dPSb9MR3To398c+zLD8vCwO7q3F8MfqYsiD8eHbX3fP8uGOMMRep3EccPhCWbavRT7EafRGZEBY9fCMxLnquPYMYZ/96aBEE0aBAOPXAfr6Y9PCji6y8vA7x4YbaFljt/eO2L3xXndMQk661Za6oqAe7BRhAUmuHHtIf7htLbCbYjh3TE/1a+bZ4STnCeGzxre2eeWZ5s/IdD0Ht4UcW4z5YbywT83jwnwt9MYsx20Jdgoa2e1FRd9+959/+PteP0zZhQiH6v/rDejTPF8ueemoZ7p0Me+LfS+zb35qCNs7e7XnIinwZ461kZWWz9mXbVFTU2b33LcD//zXou8qBddwKmzC+l/H8FFIrIa7uDWvEMahzTvcMv/0Zr2404sj9+ref7rJPaF26cnntWs+efb7JXn+jwYqHT4BHqvPjy417V8LRueOFwMwAHoB70ObjpawqhwhsJwD3Md6y+yww/vuwZsmJeyyMm1AMIWrgwIFtLivFt9/+9rdGSyi6J6IwtqfEj2B2oLv4baH7R3I7Fu42kh3x/OeY/0y7RNcfFNdCO+a5vGTJEr+TqKioeccFHytlZWX+x7fLI9J8d3lE2p+iEDuyyDLSR/ye6kehjJ1aFBychUX4eXbHL3TfSJz4T0ioa5Tw3ywft7Pe4dtC8+ZyaxmGH8e63QfLJ8anYwcfOwApXFJMpCDcnnzbE3C+vLzcj1NHV1pxZWVDd5QL/mRWuDcC7B0bji+lfrONOFCAE0V6Tuwg4zXC65SiL68ZCuxc5sQO49BnQ0oBU2VFQAREoAUCfG7yfbtlyxbf8ofvYi7zW4jvfiY+QxnDkwNgOFCCEzspkyKtew2D5D6HX/RvoTrx0SHZJq6rnoSotcZsNL0IJEj5Kxebt/yfFhgFt/Hd+repul2xM78vGH+YYhznHFzIgXAU7jiAjf+38P8JfWN0RevonCLQNgK8fzngkhMHtnLie5DvNQ5c5eA/im6h/xe37Qzxvzf7JF577RUrXbsOg2ky7NCD02DNniDvj3bibWhoQpvu7COiJVxOToYvyoSuD82e1wX7Pihu5efvHETPvA4/8ml7Z/oZEKd25hl6LJd5PK3ruH93CEKhiZZwPP95F/zXrvnqBAw8HRS6OeJya8oc8cCQlS+9XAKxea396qapuy1fyCGtXty2jWES0ppx5sFcv3FjDb4hc5v1ye0uY1rRdevWnFno/qHtSetItgN5V1UFudItpkt1dY1+udiWLe3j9u2K+bJlnr07owl9hQ02avQIDG47bkdIm64oj84pArshcGvLd+VujtImERCB2BCgi0AKNhwx2tpRo7sT/CIJIrR8CU3uPLSaefLJJ31rpn333bfZC9+5jeQ8XIRjXnxB76lzaU95hJbJLXMkGq26Wkp7qp8bWU5hoaW0O36hxzhOoevC/9kI/x1avvBtoflwuTUMw4/hbwpu7AxkhwYninHFxcW+oMLt7ck3qeKKbfoYfjrqzODWKdUTRTVOjK/oEgX/tWvX+qNa3ZyWpexUZuL1wwEBFOh4rJtzmfcXtyuJgAiIQLIS4LcRBzFwoqs9t0zRzX3X8BlJcYEW9Pym4MT3cVK9S5s1MNwVwVOFFe6DtQn6Duh7lNmivwbFxC6Mu9YM655+IBZfoPsAWPO9BQv/r+xp7y7fzv8LnHUMC8NvDA7o40QrGg5c5Hc+9+H/Fpwo0FHAljjX5c2nAqQwAYYo4P+TFNs450Qhjv/L8n/MKVOm+KLbiBEjWt1fkQw4Wd8RI77mDxJ+++037bY7V9rw4gw7YL8A3v9peG4lQy2b1yFcbMvNDQprdIPYUnL/GzoRrry81hd68vOzwK9gtyIc8+TxmZmcdgVKEY6pvp5hNfzFPf5pTZlbymTp0q2+EEYBcMyYoIep3ZUvPJ+HYVE4e3bwf+rQbfz3+aZfTvVXhYuNbj+uHzIEMWLbkHYnwjGb0PZ0Yijrk5e3UzB1p6MVnUst7eO2x2rOcW6z5zTZhx95sLZssPETxtnV1xzpf4PHqgw6jwi0h4CEuPZQ0zEiEAMC7PimG0V29Dz99NN2xhlnxOCsO0/B8998883+eelCMjTR5SE7mWh59e1vf9u3mAnd3prlzsijNedJtX2uv/56P6YMXXnSHSU7AhmzTwkEPPhJ3/guYsPtB2vaXCGJQIDWsHSHxik0UaBjnEg38Z9xLjMeoYszx44ydkBzoihHcY7LHPHOeSTxOvQcWhYBERCBribAZx0Hs7CTkXM30aKeohsHRzFxYA2FAsZy43uWczfRlXNKpS1zzBqqIcTh3ZqoKasw6OJxw/Ttrh5b7lSMqyr2nQYf54+Y1SCOSwJYxYWycwPGDjvsMH817zW6sqPbfc4Zf5rfFxTnOICO8REp0nHO3yl3n4XC07IIRIEAB5NwUAn7ACi2cU5LVg5AYaIwTvGJoRT4fwKtu3l/pnoKCnIj/EGMM2d+YE8+PQf/8zTZPlMMrv3S8cxKkPdJjBpyNdxY0rXh4YcNsJ/+v/07fFa63KSV28wP18ENan/fFWOHM20hg7ffWWufzdrou+C87NKxLezV8urzzxtt55/X8nZtaR2B1aubbNZsD/FnmyyQlo7BAPvbuV850B+407octJcIdC0BuabsWv46e3sIpJBryvbg0TEiEA8E2GH52Wef+TH6Qi0Bu7Rsmz/FEOznzcZchyFgBV1alGQ6OTus3QhZ/sPOib8553XgEq8DCnScKM65OZfpapZz/UPvaGkuAiLQ2QTYyUhXy3xmhU4U2ZylG911u8RnEjv9Kbg5Kx3O2RnJgQZK2wksuS0YW23wzri9CcmmbnPQKm7QaRDj9k6cKiy5A8owvmmGJl/vHr8lnPtsCnSMZ0vBjolCHO9P50Kbc068b5VEQARaJsABJRTcOHHALwU3t8z3JL/FObCEYptzo0zRLdyLTstnSO0t/M7g/8CffvoR/hfabIMGZkCQM8TfSsP/OxLlUvvqUO3bS2DzZg8xDRtt1ucBxCNswECAAYhHu79NnjzZHxzX3nx1nAh0AQG5puwC6DqlCIiACIhAzAnAX8XGd4Ij3SXCdSp9dnpxGj58+C758p99/oPPOEmcu4m/GY+RQp1z58aD6bqNeVGY48Tf4csaBb8LZq0QgZQnQAGNYhonJ7ZxzonrKLxxzrgWTHSrQ0tdZ2lDt9dcdr/ZwU8LYaU9EKhaZt62UgsMOn0POybA5kS1iut3FGLF/csC21ZDndpzfJwEaIkdRXQuKuki3yXexxTk+A3hJsZq4r3OxEE/LqYt73GKc5xTPE9e97COjuYiECTAuOoUrfmdHTpRcOPgEyZ6suC7jtapjOlGN8qMY8rBJnIHG+TYnr98zjBGOic+qyjKvTl9tr34Ui3EzQwIcgaLqnT8v9Oe3HWMCKQOgbIyz+bNb7Iv5gVsbWk93uN5EN6m+O5w+exSEoFEJSDXlInaciq3CIiACIhA6wls/cKMo92HXdD6Y7RnhwkwfgT/oefUUmJHgRuJy5G5nPibE91fcnuolQo7ByjOUZDjxH94OYUv8zdH77LDXUkERCDxCNAtHSfGp+HkhDXOw9c5l5GsJZ877Hh3nfHFxcV+Zzx/c3KWM3o2dMI1sf5NC+RhEEY3xCpLhlR0RALGihttgdxis9KXzYZfkQytsNs68P1P0YBTaKLYXlpa6k/OjTat6dgJTlGCiSIdnw20yOecA3/cb66TC+1QolqOZwK8pilKU1Tjd7Kb8z7gshPbWAde5/wOp8i2zz77+OElGGKCQrc8UUS3lcmc00knneTHkpszZ7a98dY8X5QbMCDTxoz2MKVBDNX/KtFtCeWeCAQ4Vq6kxLMFCxtt4aKg5VtBQa5NmDDZTjp5ou8ONxHqoTKKwJ4ISIjbEyFtFwEREAERSHwCG2ANV4AhiFkaPRVvjclOME5Dhw5tsWgU4kJH9HLZdTxwee3atb7FCzsenMULM2NHuxPsnDDHjjYuc06hzi2733K902IzaIMItJtAPSKqO1GN97MT2ULnFNfcPlwOtZblidkBz85yWrbQRaR7dnDOdW6S1Uu7m6ltB1YsNK9qhQVGXtW24+J570S1ihtwvBldVHLQUcGEeCYctbJRbBg1apQ/hZ6E3wS0xncus50Lbc6XLFniixluf4r4zIfPGWeNzznX8bnCOb8ZJOI7YppHgwDflxTZOOiEwpqbO8tufutynUvOso0WIoxXxvejmyjASWB2pLpuzmfGyJEj/cnzTvdjYc6fP98++/wLWMtVWG5OOraZjRiO/UbIWq7rWkpnjjWBTZs8W7K0yZYuM8SHbbLauiYMHOhtEydN9GMw01JXSQSSjYCEuGRrUdVHBERABESgOYHKxXCdtTY5XGc1r1nK/KI4tifLOsJgh5sbIcyOCnZauNHBbs71dI3JTgzu60bKO5hOvOM53UQXdW45fM4R9lzn9pE7H0dS82QiQFGsrq7Ot05lJ6FbdnOKa6GTW++EtvD7jPeJs2ZlpzcnxqRxy+zwdh3ibq57K56uKAxbXveaBTjApfvgeCpYx8uSiFZxtEhkXLvS/5rlj8UolPSOc0iSHPhOp0DRkhsrPrdcnCwKdqHLjEvHwT585rkU+uyiKOeeY27ZDe5xcz23HLnUnvMa4ndn6GCTUEvv0GVeky7x+uV7kQNNaNHNQWt0ocxl506Zg1G4n1JiEGBbFcNSn9MJJ5zgx9RevHixLV680J57YYXRwr9P7wwrHuZhnzQbNjSA7yG1b2K0rkq5JwKM9bZ8RZOtgOXb8uUBK9/agMECWQhxMcKOO360P5iGzzQlEUhmAhLikrl1VTcREAEREAEzWMMF8kfBdVZ/0UhyAvzn1nXgM+ZFaxI7PCjIhU/sMAmduJ2ddFzHDpPQjpLQ83BEfagwx98U6dycy+G/KeZx4j5u2f1W50ooXS23hQA7/kIndu6431ymWOYmrueyW+/243XOib8jJV6nrgOaliPslGYHoeucdnPel6EWJjxGKYEJbP7UrHaD2dBzErgSLRTdt4qbvD2uLMStREn9jg661dww3azvUYlS6i4vJ9/XdNPHqaXEd75zme0s8mmVz4m/S0pKfFeAFFnCU6gVvrO859wthw/ucd8PEvDCScbHb74L3XvRDTjhbzfohHO33S3zu5Hv1tDE9qXA5iy6ORCFy+43XSg7K29dC6Hkkm/ZWS8edNBB/nVCl7rLli2DSLHEPvl0rTVhkGGvwgwbMsSzIYMDNnhQGgYuSZhLvish+WqEMXyI5dpkq1Z7tnIVppVmFZWN+F83HdfzENv/gJG+IE33rfp/N/naXzVqmYCEuJbZaIsIiIAIiECiE9i2Cq6zlltgxOWJXhOVP0oEXCcYRxa3JdFCiJ1znNjZ4pbd3K3j3C2zc4adefztOm5aEjhcWZyA50Q6xvPgspvcbyfc8bdbt7s5t7Fzx+0fOk+WTp+KhQstPyyOkOMayzmvFVqEuTmXQyeuZycd13EeusxtvEbcPHSb29fNuR+XOW/NdcWOYIrCnDvrDXYMuk7i0PVObHPr+JsTrxulFCPQUBm0vOo9Fe6e+yRn5fscarb47+gxWhC0MEuEWmbkQ4D7EiwVYRXXY5JZdlEilDohyuied3sa4MNneKj1vVt2A334mxPdZLp1LT2r+U53ohyX3SAet+y+Cfg7dHLr3TdC6Lwr3+0NtAZbs8by4D40Vsm9G8Pn7h3Jeeg7062nwMbl8IEq/G7juzg8sQM5dNAJB55QXHFuTTkPtfbmMq8pJREIJ8D7dfjw4f5k9iX/OqQwx6mkZLm98uoq/7rMygwgrly6DRro2cCBaTYQMeYKCyXOhfPU79gRgF4M607PVkN4W7PGszVrA4j1jv9rGj08H7MhvA2zgw4e5gtwFN668n0UOyo6kwhEJiAhLjIXrRWBTiVAKwp+0CuJQKoQoNAQF2nDuxbIgdusnGFxURwVInkI8B8IZ+HTkVrRnSY7d0JHVvN3+DrXIRTeQeT2Y+ee6zjiPLRzicttTU6YYwcTOwZY35Ym7sv93MT9QpdDf7v1LI9b75Y5d9s5d/H+uOyS2+5+c8793L7uN+dVf/ubZR99tKWPHbtju+tECz2G69zv0GWuc7/dnOvY2ermXO8mt47b3br2sHcdp+xc5bLrZGWnLJfZIcuOPM7db9dJ6+ZOYHYduRTQ3DLnZK8kAu0isOZ5s/RuZv0g+iRrooiVP8a3qPddPSZKPXsfaLblcwxBf85suAYgxbrZ+C50VkytPTffFxzA4yzw3TLnbhBP+JyWeFwX+t3QmncNn/ssI98r7h3v3u/87bZz7ia+c9161on7MXGdex+Hzvke5G8mt57LdXPnWu0771juV7/qvz+5jfu6yb1j3Zzr3bJ75/J36PvV/WbdQ5e5T2t4sAx8Z7p3o3tPcs52pFjmBp9w7pad6Ma524d1VBKBzibAbzzG/eNkdqR/v6xbt85Wr17tT0uWrbT3Pyjzrea6ZdNSLs369/Ng4ct5wIqKArhnO7tUyi/VCWCsgq1f71npuiYrLeU8gN8YONjQhPdLOq7DIhs0eKgdOHWQUXRryTV0qnNU/VOXgIS41G171TxGBPiRzn+WOCmJQCoRoEjh/hnvknrXbQqOZh+ShK6zugSoThoNArxHXAdPNPJ3ebJTigKdE+n4O9LEDiy3D5dbO7ETLHTice536DLXhXawuU447uOWWWbux8R1LrllN3fr3XPGzbmeyxl479b/9a/W8M1vGv4L9NeFdi5yHze59ez0cB2Sbh3nXMd93TbO3RTakRm6jsuuw5P5ctn95jx0nfvNdUoiELcEyueYt3WeBYZfipssya/VPoeZt/RuC1SvSKDBPBBABp1qtuROs7L38dw7KG4vJRUsSIDvCedSuyNM+M4MHbATPmjHvf/d+93N3bcB5y2977nNvc+Zr1t2c76Tuczk3s+cu2Wuz/z4Y8ucOdMqDoW16XYPBO79yznfgZyHv3dD36Pu/enes5y796ibu3cp56GDVbg99DfFN71v2TJKiUSA94hzpbvffvv5Ree9XFpaumMqWbXKPv60DN/4jUZJvFevDAhynvWFKFeEMSZ9eqfhkziA6z+Raq6ydgUBjAuFlVuTbSyj8NZk6+GRfMOGYFw3licrK8OP7zxo8GDbb/+gi2e62eVzXEkERKBlAhLiWmajLSLQKQSmTJnSKfkoExEQgTYS2PgevhALzQrGtfFA7S4CyUeAnVKcUskd0n8++cQWzp9vRc88Y5ewExBWZEoiIALtJMCYcGuetQCtrnKHtzOTBDosZ4gFcmFND8t6G5ZAVvWMh9v3SLiofNUsD+2U3S+BoKuo7SXAjs9YDOppb/keffVVWwlxbipcVB5zyy3tzUbHiYAIhBGgoMx4W5xcojBeVlYG8WS9rYNL2HUlK2z2wpW2dX2ZeRDTA5hy0hssP7vectNrrXt6vWU21dm4syda8dT++H/B5aR5shOgddvmzR7ioHu2eYuH6wbTpoDvZrKqutGvfno6xdtC69t3AAS3vpgHJ8aEVhIBEWg7AT1i285MR4iACIiACMQ7gcYquGeaZdb/eJSU4wGVREAEUo1AOlxO8e4vR9D7/5x7rp31/PP0p5VqGFRfEeg4gSYMiy551KwbRJ0BJ3Q8v0TJAbHivBUPWaB2PQStvolSarOiw80ql5it/LfZyKvxGaR/+ROn8ZKvpB4s6tbAGo7p87vvtkNuvNFyYDWhJAIi0HkE/G/ds8+2GsSibqC7eojeDXBx2wSPEy7BqfSORBvW8u0TV9Ydd5x9/EahBd6ohZVuuh9zrmePJuvZMw2uWs169ghgHrCCAlnTkVeiJFq1bd3qIUa5Z+Xb51vKsVye5gtwTmxjffLzc2BB2dt69ymyseP6+C4lGe+SghutMZVEQAQ6h4C+yjuHo3IRAREQARGIJwJl+Ic/LcusUBap8dQsKosIxJJAAEN6AxDemtAJuPyVV2z6D35gR/zud7Esgs4lAolPwEMn3son4C8WvTlDLkN9UkjMRpy4AMVHWsUNPjOB2hIdZoO/bLb4NlgxYgDCoNMTqOwqarIRKIVFeiN7g5ECsIr7+E9/ssN//etkq6bqIwJdSqDH8OG+8Fa+dGmry8FvZE6nPPSQDTvtNFhFbYI4s9mfb4GgV16+2dbM34z5Vrit3xlvmvHoCgo4eVYAZxP5+QGIdzDCzuXcTSbLula3RNt3pCVbZaWHCfMqzoPLW7c22daKgFVg4nJdfdBtMM+QnZ3px7/s2bOXDRxUaBMm9oTw1ssX2jin5xQlERCB6BPQnRZ9xjqDCIiACIhALAl4+Edh00dwin+ARoHHkrvOJQJxRiCN/1BuH8HpwU3PzN//3vpMnmwTLrkkzkqq4ohAvBJAB87Kx82qV5oV477JQE9bqqU+h5it/g8s7I9G/QsSp/aZMGEYAjFuxcNBS0bFi0uctkuykq5+5x3j+5iDYhoxfXLrrTb1Rz+yrIIEup+SrE1UneQksC9iIr927bU7Yjburpa8JzO7d7cvv/CCDTrsMH/XAQMGGKdIqaqqCoJcOQSeCgg8W3dMm7ZstpJVFRCCqq2mBupQSMrKDFhubrrl5CDUao5nOd09/A7ATb5hYoxszLvxd3CZv7OzGSsyJJMkX6TBIscp1NR4tm2bh7nZNn+Z6/D5Ve1hMqvCVF0dCC5XNVpDo7eDDG3VuudkQwTNxVRgPXr2tCFDCyCU7px6wKyR7ouVREAEup6AhLiubwOVQAREQAREoDMJ0CUlR+73hhCnJAIikLIE0hiJPsyVyktXXmmFY8bYgIMOSlkuqrgItI4ARThYwlUtgwh3MXp5BrbusGTbq+fkYLy1sg/N+kGMS6SUNzpY5tJX0LtZBHOFkYlUepU1SQisfPNN42AYlxrRu/zZ3/9uB/7wh26V5iIgAp1AYPyFF9obN9yAf4ODFqgtZUkRLrd/fzsXsRsLx45tabdm63NzcyGi5TZbF/6jAUJ7JUy03FQNBYkCHuecKqsqbP3GKghO2yAy1VothLudctLO3DLSAxDk0nxRLjub4pxZZqZn8DhvmRkelgPBZcw55s5N6enbl3E8xTz+C8B5WloAy14L8+A+3BcGuxAxg1Nw2cO6ANaFzndup4jWiP1RbUxes3l9vcGKEC4/6zyrbwhgzt8BX3Rj89TWNmHycPyuBFiWbt2yIFB2w5QDETPP8vJzrV//XCzzd47fFnkwQ3QT44QqiYAIJAYBCXGJ0U4qpQiIgAiIQGsJbHwfjuz3Mkvf/T8Lrc1O+4mACCQmAXY0hMc0YGfgv085xS777DPLGzw4MSumUotAtAk0YRh2yWMYlr3abNhFEOFS+V5B5xYt7MvwbdH3yMSztEecO6tZH7RsHH4pevcGRPvqUf4isJMAerNXTp/eTIhjzKqZcBO937e+Zemy0NjJSksi0EECtDIdi5jI8x55xJqoAkVI/DYumjTJznr5Zcvp27mxT+nasCessTi1Jnl4PtRAmOdEca4WClWkqQ4qFqd61Kmyugbz4DLnFP8aGmAhtn3eCGWMwlmsEkW+jIz07VNGyDwTYmEWRMMszLtBSAv+5rpsKIvhE63VOHWHuSC3KYmACCQvAQlxydu2qpkIiIAIpB6BykXm1W6wwNBzU6/uqrEIiEAzAum0iAtLFOLq4Frn3yedZBe+/75l0F+OkgiIwE4C9VvMlv8LQ74xfHv4FUG3hju3puZSr/0QJ2662ZbPEXt238RjMOg0CKsPB9t1BNo0q1fi1UElTkgCZfPmWR3c2IWnWsSfmnPvvbb3178evkm/RUAE2kiAMRgXPvGEzbr9dtuyeHHLIhyspoqPPdZOw77x8P3LwXIUnjgVFha2sdYt706Brwnf+22Zc1+WhxOty1qah26TFVrLbaAtIiACLRPAED8lERABERABEUgSAhtnWCB/VNAFU5JUSdUQARFoH4EAfdXQv0tYYpwadg6+cDHc7eEfbyUREIHtBKpXmC25E36aIGKPvEoinLswaGHfAy4qyz5waxJrHoC/rqFfgQAHK4XlD8CHVkVilV+lTVgCfnw4+osLT+gkf/+mm8yjbzclERCBdhHYvHChvfXd79ptgwbZi5ddZjlFRXbiffdZH1i8Rfr+3evqq+3MZ5+NCxGuXRVu5UEU0dLx3KGFnrNAo9hHl4505Zifn2+MmUbLvV69elnv3r2tT58+/py/uZ7buR/353HOUi0Tg/yYr0S4VjaGdhMBEdiFgIS4XZBohQiIgAiIQEISqF1vXuVSxIZT7KeEbD8VWgQ6mYDvmrKFPCnGLXrqKZvx85+3sIdWi0CKEdj4rtmy+81yh5mNuByBVvJTDMAeqtt7qnk164Ix8/awa1xuDkBcHXZhUGRd/iAC22yLy2KqUMlFYBXdUkaoEtdVrlljCx59NMJWrRIBEWiJQBNcNPK+eexLX7K7Ed+NlnB083pNSYmd9u9/27DjjrP9rrvOt+hiHm442hG/+Y0d849/WCCSMN7SybReBERABESg0wlIiOt0pMpQBERABESgSwhgpHogu8gsDxZxSiIgAilPIA2jViN1ADowdEPz7o03+p0Ybp3mIpByBCjIlDxitu51s/7Hmg2Ba2eKNkrNCXTrb4Hc4mCsuOZbEudXenezYlgC0+3oioeC88QpvUqagARKXn99t1Zv7/3iFwlYKxVZBGJPoHzJEpv+gx/YbYhv/PyFF1oWrLXOev55++rSpXbQT35iuQN2xv8cd/75lr49zhi9Q5zy8MN2II5VEgEREAER6HoCEuK6vg1UAhEQAREQgY4SYEciY7dgxLqSCIiACJAALeIiuebhtgDjP2DKQEdFyWuvyUUloSilHgHEVbXFfzfbtsZs+GV4hx6cegzaUmN+Y1SAWd3mthwVX/tmFATFOMYCXPFPiXHx1TpJVZrKVauscu3aFuvEwTCb5s+3pRATlERABHYl0FRfb4tg5fYErNzuGj3a5j30kO3zP/9jVy9fbmc884wNR7xj+Ejc5cBMuFOcdMklvlh3Lr5xx5133i77aMVOAhUVFfbRRx9ZA7xlKImACIhAtAmgh0JJBERABERABBKcwKaP0LOOV1rh3gleERVfBESgswj4QlxYDLh0iHON+Ed78GGH2aQrrrAxZ51l7LBQEoGUItBUY1b6inmbPrFAz73MBrIzr1tKIWhXZQvGmWVCyNqMb45+sB5M1JTVG2LcpXBFeh/EuH9td1mZlai1UbnjlMCqt9/23eNRcNtdoovoESefvLtdtE0EUorAVghtn995p82+5x6rXr/ehp9wgp3x9NP+fdJa15L7Xn+9ceo1fnxKsWtPZZsQs7Kqqgpho3f/rGpP3jpGBERABMIJSIgLJ6LfIiACIiACCUagyYxCXK995U4rwVpOxRWBaBKga0rGgkvHvBGjinsMH25piI0x8OCD7cQHHojmqZW3CMQvgc2fwg3lqyhfwALDMEo+H+KSUisJINpOIb414Arb+n4JCNNbeVwc7pbdB1aQFOMQF5BiXPFF+oaKw2ZK5CJRiGO3dnpWlv8u9tDZ7RLXde/b1/IHDbKexcW2bcMG614E9/JKIpCiBLzGRlv63HP22W232fJXXrHcfv1sr6uussmYCoYNazMVCXBtRqYDREAERCAmBCTExQSzTiICIiACIhA1AlvnmzVUQIg7IGqnUMYiIAKJR4AWcbR2m3DBBTbxsstswNSpNvO3v7UPb74ZIZLqLA0dgUoikDIEqpYFBbhtpcH3Zb9psoJrT+MX7mO2/i2zrV+Y9Zjcnhzi5xjG1XVi3HKKcRdKjIuf1kn4kmTh/Tvla1+zvIEDLQ+CG0W3p2GFfjgs4Pa94YaEr58qIAKdQaBi5UqbfdddNvvuu61yzRorhhvK0594wkaeeiqcvai7tjMYKw8REAERiCcCerLHU2uoLCIgAiIgAm0nUDYTI/rHwF1Uz7YfqyNEQASSlsB4CHD7fvObzQS3CRddZG//+Me2BKOOR3/5y0lbd1VMBHYQqFoO4ehN8zAP5I8yG3WNWXbfHZu10EYCGfnBb45NHye+EMeq+2LcJUHLuOUPwk3lBRJo23hJaPfIBI7AoJfw1GPoUKvZgviESiKQygRgHbr0hRds1u2327IXX7TuffrYpMsvt72uvtr33pDKaFR3ERABEUh2ArtG9kz2Gqt+IiACIiACyUOgdr3fuWi9D0yeOqkmIiACnUIgd8CAZiIcM+Wo/GFHH21z74c7NiURSFYCXqPZlllmS+40j3HAAmkWGHEFRBa4H5QI1/FW77V/8NujdmPH84qHHHhNjLjcrK48GDeusSoeSqUyJCGBXFjHVa5enYQ1U5VEYM8EqmDx9v4vfmF3wB3rU6edZg3bttkpDz9s18Aq7vBf/1oi3J4Rag8REAERSHgCsohL+CZUBURABEQghQkgTkuAo7lzR6QwBFVdBESgLQQmXnqpvYSRx4pJ0xZq2jchCGxDB3f5bIhwmBprYLE1wQIDTzTrPjghip8whcwbaYGsXmabEZ+2/wkJU+zdFjQLMeMo1i5/wGzpPXBTCSu5zB67PUQbRaCtBOieku73lEQgZQjA+o0x32j9tuTZZ61bYaHvLn1vWL/1HD06ZTCooiIgAiIgAkECaQIhAiIgAiIgAglJoKk22NnY+4CELL4KLQIi0DUERp95pqV362bzMApZSQQSmgAt36qWmpW+YrbwL+bBAs4qFpv1nmo2FjGYBp8lES5aDdxrXwhxsDr0GqJ1htjnS+GNYlxaZlCMq0sSi7/Yk9QZWyDAeHEVsohrgY5WJxOB6tJS++BXv7I7R460J0480Wo2b7aTHnzQvobr/8jf/U4iXDI1tuoiAiIgAm0gIIu4NsDSriIgAiIgAnFEYMtnwcL03DuOCqWiiIAIxDuBjJwcG3v22b57yn2vuy7ei6vyicBOAl692TZYk1SVmFVjqlphXlOdBbrBMrzHeAv0mGzWrf/O/bUUPQKF+5itewMWiHPNkuk7JD3XbPhlZiseghh3bzBmXPdB0eOonFOKAN1D0z2fkggkJQHPs5LXXvOt3xY/84xl5ecbvTAw9luvceOSssrJUKl8tNMBBxxgmZkYhKIkAiIgAlEmICEuyoCVvQiIgAiIQJQIlMElVM+9MHI7O0onULYiIALJSmDCJZfY7KOOsrK5c633xInJWk3VK2EJeGb1W8xqNpghFqrVcCrF8kbzvCYLZBbAJfNQswHHWyBvlFwIdkU7U7AqQMfq5k+TS4gjy7RucE15sVnJ48GYcUNgWZmvTuSuuMyS7ZwU4qo3brTG2lpLz9b3e7K1b6rWh67O59x7r8264w7bsmSJDTr0UDv+7rtt7Dnn+B4YUpVLotQ7LS3NcjBIT0kEREAEYkFAQlwsKOscIiACIiACnUugarl5tRssMOTszs1XuYmACKQEgSFHHmk9hg3zreKOuPnmlKizKhmHBGjhhncZBTarLds+x3LdJli6YRtSIAvuArP7QQgZa9Z3mgVonaTYXfHRmIVTgpZj9ZvRJoXxUabOKkUAlgHDzjdb+wIEuccQC+84uDw9qLNyVz4pSoCuKZkYJ67H8OEpSkHVThYCK99802bddpsteuopy4SQM+Hii23va67RAK9kaWDVQwREQASiQEBCXBSgKksREAEREIEoE9j0oQVyhsAFFzonlURABESgrQQCAb/DZPY999jhv/61BdLT25qD9heBNhBoClq31ayD2IaJFm4U4OrLYeHmWSAN/5Jl9cLUG4LbGAhvfSyAybLhcjItqw3n0a4xJUBrxIy8YKw4iKTJlwKwujw5KDKWvgyBGFaasMKEPJx8VVWNYkKAFnFMdE8pIS4myHWSTiZQU1bmD+KadfvttmnhQhs4daodh+WxX/mKZXTv3slnU3YiIAIiIALJRkBCXLK1qOojAiIgAslOoLHKbOt8s0GnJXtNVT8REIEoEpgI95QzfvlLW/Hqq1Z8PDuXlUSgkwjQwq16JeK5rQ7GdIN7Sa+pISi4UVzj1Gt/fx7gchatqSRudBL9GGaDNqOLbMasTUohbjvKPofgGoVl5qqngy5T6aqSFnNKItBGArn9++M5mGYVq/FsVBKBBCKw+u23/dhvC594wnerOv7CC+3Uxx6zor33TqBaqKgiIAIiIAJdTUBCXFe3gM4vAiIgAiLQNgKMx0ILgR4T23ac9hYBERCBEAI9R4+2gQcfbHMfeEBCXAgXLbaDQB3cSlYshvi2AqYeK8xrqEJnM95T3Qcgltswsz4HWaAblrNh8WZp7TiBDolbAj2nmLfhXQtULUNbD4/bYna4YAX45ipGbMKSR8yW3A23lefBUq5nh7NVBqlFgNbnuf36+RZxqVVz1TYRCdRu3mxzH3zQPofF28YvvrD+++9vR//1rzbu/PMtMzc3EaukMouACIiACHQxAQlxXdwAOr0IiIAIiEAbCWz6xKwQow8DeoW1kZx2FwERCCMw6dJL7Y0bbrC6rVstqwCdzEoi0CoCHgS35UHr7IpF5iGmWyAdLqkouhUdBtfJQ4MinES3VtFM6J1g0RjIgbs9WsUlsxDHRqJL8JFXbxfj7jAbci7qXJzQzafCx54A3VPKIi723HXG1hNYO2OGb/22ABZvFI/HX3CBnQRBru+++9IpmtYAAEAASURBVLY+E+0pAiIgAiIgAhEIqBczAhStEgEREAERiFMClUuCHZ6FcOmlJAIiIAIdJMCYHq9ff70tePxxm3zllR3MTYcnPQG6myyfg2kurN4qYeXW37fODuSPDooUci+Z9JdAxArCKs5K/xuMp5bsMf0y4aJyxBVwU/mM2fIHgzHjeh0YEYtWikAkAnkDB1qlXFNGQqN1XUigrrzcvvjnP30BbsPs2dZ3yhSb9oc/2AS4oMzMz+/CkunUIiACIiACyURAQlwytabqIgIiIALJTmDzJxagxUF2n2SvqeonAiIQAwLZPXvayNNOsy/gnlJCXAyAJ+IpGrfB2mmWGd4/Xs16iG99zXofaIEekxA3q1ci1khl7mwCPSdDiHsZFpJzETNun87OPf7yY3y4IWebbXjbbO1LiINYajbwZHgqSI+/sqpEcUeAFnFlcPOnJALxQKD0ww9915PzHn7YL864886z4++6y/ofqAEG8dA+sShDRUWFLViwwKZAfM3IUBd5LJjrHCKQygT0lEnl1lfdRUAERCCRCDRWIwbPAnT2nJpIpVZZRUAE4pzARLinfOrUU6182TLrMTyJYzzFeTvEXfFq1pmVvQ/rt9lBgaHHZAsMPtOMsd6URCCUQFo3s/yxEGw/Tw0hztW96HDcD/1gHfekWQ3EuKHnKm6cY6N5iwTyIcSt+C8sSJVEoIsI1EN4mffQQ77127pPP7WiyZPtiN/+1iZefLFl9YDVr1JKEWhqarKqqirzPLgdVxIBERCBKBOQEBdlwMpeBERABESgkwjQIoFx4XpM6KQMlY0IiIAImA0//njL6dvXvkD8j4P/7/+EJNUJVCyEADfDvMplQeu3ASdBXIHFE62AlESgJQK0kFz5uFlDhVlGCrkxyx8TjBvHui++3WzwGUFRsiVOWp/yBHLpmnLNmpTnIACxJ7D+k0988Y0iXFNDg40991w7+q9/tYGHHBL7wuiMIiACIiACKUlAQlxKNrsqLQIiIAIJSGDTJ+oMTcBmU5FFIN4JBOCGZvwFF9hcuKeUEBfvrRWt8jUFY79teNesdr1Z3igLFF+M+chonVD5JhsBClKMD4f4gdb7oGSr3e7rQxetI66Em8oXzVvxsAX6oFO7/zE4Jm33x2lrShKgRVx9dbXVbtlidA+tJALRJFAPS6f5jzziu59cCzeUvcePt8N++UubeMklll1YGM1TK28REAEREAER2IWAhLhdkGiFCIiACIhA3BHYtsq82g0WGPLluCuaCiQCIpD4BOie8qM//tHWvPuuDTz00OhVCCOwEYAievkr57YR8NAemz812/ieWf1WWFxPROyrsxCHtG/b8kmAvRtw7UUr9klH8t7dsXQXFQgE/CnuETM+WsF4uKeEK9NUE+LYOPRYANfhgZyhZmueR9y4VcE4chkFcd90sSrg7q71jpahI3nv6djGxkZLT++8+H+0iGOqXL06ekKc3rUdvaQS/viNn3/uW7998c9/WmNtrY0+6yw78ve/t8FHHNH5ddP11vlMlaMIiIAIJCkBDVNL0oZVtURABEQgqQigozTQrb9i8yRVo6oyIhA/BIr23tuK9trL5tx/f3QKBUHB/vIXs2HDopO/cm0bgaZaiG/vmC34k1npK3ClN9pszDfhVg+DPaIswn3nO9+xlStXtq28Hdx7GeIf9oTlSU1NTQdzan74Bx98YHvhvnnppZfszTfftEPg3utQCNmfwP3XokWL7LzzzvO333777cbOfKZHYJkwZcoUe+GFF2x35frXv/5lA9FhX15e3vyk8fwLLky9bavN6jbFcymjW7aee8NV5VfhonMbXFXeZrZ1XnTP147c3377bbv11lvbcWTHDuG98cQTT3Qsk7Cj161bZ5diIMk111xj69evt3Phao/35N/+9jc/5tEvYfnD39/4xjdsNYQvpnnz5tlxxx1nP/jBD6y+vt6/ZyOVi/vxnr7nnnvCztqxn7SIY4qKe0rwABADkI4VUkcnJIGGbdtsLr7jHjr4YLsP33UrXn3V93TwNVz7J+Od0ukinK63hLxOVGgREAER6EoCEuK6kr7OLQIiIAIisEcCTY3oMC2fY1Y4ZY/7agcREAERaC+BSei8W/DYY9bYyWKFX540fHKfeCI6pWF1pdR1BBqrzda9BgHuj2YbIMQV7mM29ltmjAOXGX0XaRUVFXbXXXfZXxGTJpapuLjYPoRLrm7duu32tNVwF/fOO+DSyjR16lTfUoaWdtOmTbMzzjjD7+SfNGmSjR492r73ve/Z7NmzfSHAWdScdNJJdsABBxjn4eUKPf/ZZ59tFBkSKuUOh2FYHr5ZYBWXyim7yGzU1b6FoFfyKCzknjXz6uOGCO+/P//5z0aLy1imhx9+2E455ZQ9nvKVVzA4oJWpX79+NnbsWPM8z/oi1umvf/1rmzt3ro0YMcJyc3Ptxz/+sW2DOJGdnW2Dtgtg4+Gab8CAAfazn/3MMjMzLbxc7vzcr0+fPq0sSet3ozvAzO7dfYu41h/Vyj3BA0BwvXmtPEC7JQOBsi++sDeuv95uw+CNV66+2gow6Okrr79uVyxYYPtj8Eu33r2jU01db9HhqlxFQAREIIkJSIhL4sZV1URABEQgkQlwZO97771nM997yzbVFdrWtOJEro7KLgIiEOcEGCeuvrLSFj/9NOKEYQAALAX8VFcX/B3asQdBBeYGu3b2QciImEpLES4Jn92clGJPoBFtRcs3WsDRFWXRYeisvcGs39Fm6bk7ykMXbZW4Bjixk94t1/EaQOLvWl4b29NWCKubN292P/05j+P7ix3j4ekBxCH81re+ZXfeeadvrRK+PdKxkdbxOOZPYS9SCi8n3TuOGTOmmfBAC7VVq+A+cHvi78svv9wXztw6zmkxwyk8bdq0ycglDdc0J6YrrrjCr9czzzzj/95vv/1swoQJzSxquO2iiy7yt4eWK/z8Trjjjjw/xYT4TwG4N50E95QYPJTqKZAZdFU57LygVdzi281q1raKirvveD9SnOVvzplo1VnFZ+/2FH4du/W8B7kt/D6kVdjw4cN9kffZZyEQRkiRjo20jofyGRB+Dq7nubcgBlpoojjm7hW3fu3atf595H7TYvS3v/2t+7lj7uq/YwUW+Czi84f3ist35MiRduyxx9q9997r78r1F154odHC1N3HLBcFNifMh5Yr/Pyh7mxZ185KdE9ZSctgPk8piPJ5yeXtz9od50E7Ambzdy2fRxGeSf7xfB7TjabetTsQJusCB03Ng9vJRw4/3O6dONGWPP+8HfjDH9o1uK5OwX005Kijmled7iN1vTVnol8iIAIiIAIxJ6DegJgj1wlFQAREQAT2RID/7NMlDjsNapuybU75BJs1Z1Gzzoo95aHtIiACItAWAjn9+1vx8cfbPHZgYkS1nXxy8HC43INpgRnc8PnpTxBzuHzTTWY33xxch5HXdgOEHYzItq98xdBrHFz/KUQfWPbYW2+ZwUWYUowJNFRCgHs5KMDRSqkfOubGoo36QIhLy96lMBs3bjRagfwQnXns5L7uuuts8uTJvrBGQYzu3d5FHEEuU7T6HDFo/vd//9duueUWPy+6ZPwTro+XX37Ztw4LPQE762mp8pOf/MTvAL8/zA1qpGMjrWOePMdNuP7YuX7kkUfaZ5995p+KgsV3v/tde/TRR/2y3rz9+vwnOitpDVNKQRjpjjvu8C3zaP12FDorWR+W7VNcr6/ClddjsAxlonXNr371KzvttNP8c3Idz0HBjXmy3suXL+dqP7Fz/9RTT90hvFEopIDG8jjxhC4sj9geoye0XJHOz0xpQcjz0U0lj4371HOSH9PWaoKs47680S5g/jhYx30dFqeIFbfkLriEfRdn3FWkdsXgtfi1r33NKOLy+qHb0/z8fP+e4j68t3iNM0W6jnn897//ff+e4LU4f/58f1/35+6778Zj+nq7+OKL7Y+ICxqaIh0baR2PmTlzpn+PUVjmeeh+1SVesz//+c99N6wUxShY8/qma8p//OMf/m4sF58vC2CxczzeO7Qc5b3y5JNPWklJiS/G8Rn0Ot4tN+DdwjJ/Be8WJ8jRqu/b3/62vfjii/79RVHbJd4vLFdZWZm/as2aNb5g95///Mf/zfubFqdMoeWKdH7uw+cQ22RvuPrjOTsj0T1lA9zXYoSAGdrEf2fiWWqjRgWzRzuiIQ0NaQBsaMjgejyT8FAyPJT4INxZFFoZs2zgASCIWbiTx86dtJQMBDbjnnkTVm634Rp6Ee/hHFilnQMr0qtwPR0Id6s5sAyNmOiaVddbRDSpvpLvGFrq00JYSQREQASiTgD/FCqJQGIRqFzmNc3+qec1VCVWuVVaERCBVhNYuHChN336dA+dbjumt956y8NI5lbnoR1FQAREoK0E5j/yiHdLerpX88c/et4xx+w8vF8/z5sxI/h7/HgPD6Pg8quvBudXXul569YFpylTPO/++z2vrs7zRo3yvJUrg/vgGeb16BFc1t/oEqgv97w1L3je3F963vxbPK/sfc9rqm/VOX/zm99455xzjr/vihUrvO7du3uIU+b/hujmz5cuXeqdfvrp/vLHH3/sIQaTv4wOcw8d/f4yBC1/7v5AQPAef/xx/+dPf/pTDxZqHjr53WYv0rGR1sFtnAfxbcdx6JD3YNGCy63Ou/baaz2IXv42lhGxo/xldOhT+djxDoWw5iE+m7+Nx0IM8JchGniw1vOXIcp5v//973FZr/M++ugjD9YzHqzgPIggHgQ4fx9Y/XhwceexTC5BAPBghYPLfqXP4rnnnvMZwkLHX/ejH/3I7eqFlyv0/BiI45eZ5WCCm0sPYsCOY+N6YcGfPK+0efvHdXljVbgN7+Ke/IXnLcU9UlvW4lkXL17s5eXleRBv/X0OPPBA76GHHvKXIb55EH/95UjX8Qw8p08++WQP1nQe71/EKtxxHljT+fcIV8yZM6fZ9cV1kY6NtI7lgrDt3xs8DgK3f81DpPf4reqeH9x2Jd4N/KZlYnkhovvLEOS8v//97/4yhH/vF78AFyTWj/eBSzye9yAnxFbEq+V+7/333/cOPvhgt4v3P//zP95VV1214zcENbxqevjnwuAC/57l8wruYP19Lrnkkh37ciG0XOHnP/PMMz13z0J89Hr16tXs2Pb+eO6887yn+Aw94QRWOpgNvvu9wYODy3zfoh3RkB4a0kNDeh6fBXgmAYaHh5KHh5KHh5IHIB6A7CwKeADIzt9aSngCjXiHzXv4Ye/RadO83+Fddkdxsff+TTd5VWvXtq1uut7axkt7i4AIiIAIdDaBv8giLupSp04gAiIgAiLQVgKhI3vbeqz2FwEREIH2Ehh1+umWmZdna2bMaD6iPnR0PeJgwTTAYAJhdjRcG378sdmKFWbTpwcnjuqHOz776KOg+6zBg4PF4Tw0n/YWUse1TKABrtPWPm+28C9mFbCg6H8cRsDDAq7XVLDPaPm4kC20JqHVDV2+0dJsMNqN7trQoe+7d+Suw+HajlYlTzzxhL322mu2YcMGP4ezzjrLdz15NSwqadETmm677TaDOOXHh6O1Nzrn7YUXXtixS6RjI62jpQtjQrn0pS99ySC6+VbktDybNm2av4llvO+++/xl517OvVuZB130QdzwXf3R7Z5Lbh/WGQIkLuvpBtHOHnzwQd9KkPGkDocrMCa6vWOsqdB0ImIhorPePzdECT8WHK1vaIlEC7gL4ALWpfBycb07v9unPyxVmWjRF1pOtz0u5z1w/2/9Ii6L1qWF6nOI2cir4YoQrgUXwzKs7H0UZ1frOLpXPOSQQwzCtW9JyWvinnvu8YsOcc2GIf4TU6TreJ999vGtNHk8r5dRzsIK+/OepWUmrcneeOMNY3w1Wpe6FOnYSOsgTPuWaYzJxsR86ILVWadBKHdZ+hadjJfI5K53LtPCDAKYf1/x2eKeIdzm7gGI/Hi1rPDvQd6HtL7leXifH3YYrHq3pyFDhuw4hqvocvLcc8/1mdFqlssQ6vznGu/J4uLi7UcGZ6Hl4hp3freTu8d5D9IlLa0EO5rykFcVLPV2SWhrP6Ed0ZCGC8HQkEFLOTyT8FAKvmfxTAK8oKtBWsCF8DDwQCV2yVorEo/AlsWLbTosI2/De/gFuDTO6tHDzsJ786tLlthUxD+kJ4MOJXed6HrrEEYdLAIiIAIi0HoCEuJaz0p7ioAIiIAIxIgAOzdC/9FnpwCnaASNj1GVdBoREIEEIJCODsyx6LRcg/iULSa6mLz1VrMbbzSoLnC1tjHYGUhXX26ahDhRjEWybh2DGrWYlTZ0EgG6oFz70nYBDu7OBpxoNvo6CHAHoEMW8YLakIqKinzxiK4j3377bfvLX/7id2izEx+WLn5O7DQ/4YQTDJY6/txlDysV32Ud3c7RzRFdvTFRKBs3bpzvDg6WKX4nPKxTmrnGi3RspHUUv+i62SV28nMd35FZWVnQfyEAb08YwhkxfhVdbFJcoyhGl0yhyXXC000n38UU0dzUs2dPX4yjOBCa3DFcR9dO5513Hm6RW60YHf7cBqseoxtMigmTeG/sJoXmtZvd4ntTwXi4p4RbwFrc/0rNCWRDvBr51WCcxtL/mi27D3HBNjXfB7+uueYa3/UkxWTei7NmzfIFqKlTIapvT5GuY15/H374oe8Gki5Q6drRJS7/7Gc/M96DnGCZahSWncvWSMdGWsdrlEI9rNRc1r44zvW8B3n+0BT6PevWU7T7Adzo8R6kuBaa3D3Ae5DuKd39xznvH66DVWDoIf59FrqCrjfpOpeuLvksokDO+5nnczEaQ/cPXXbnD13X2csU4iroKrClhHYESENDGnzZGhoy+K6l+Ones5zjmeS/a8N4AEhLOWt9nBNo4kAVDHJ5HG5d74YrSXgqsH2uvdauxnvnDMTwHY5rudNjAOp6i/OrQsUTAREQgeQhICEuedpSNREBERCBpCFQUFBgE8YW28j8FZaR1mDZ2dkG119+B0fSVFIVEQERiEsCky691NavWmUNFBsgZCBQkUFRQWdxXbC8iK8FpcGMYt3zsL5CjC30eBrUGrPGRrMtW2h6YTAbMsOzDEGOgsch9iUCX8ZlnRO2UI3VEDvRmb/wz0ELpP7HQ4D7plkhrNHaKMCFMqC1ClzF+bHMjjvuON+yhqIa3FT6u9FajLGahg4d6nfiw0Wjv54xqyi40dqmd+/eO+JT0eqGedJyxU2MD0VrOhffLdKxkdadcsopvtjnYkUxthTcS/qx7djJzthxFOpo+UMrIrjo8ycWkMsUDxinilY77NCnoOCEAooITjykUPGHP/zBjxvHY9/D9Q53fr4o8NRTT3GVnxjHizGwQtP555/vM7vwwgv91TwXLZOcJZ3bl+VhcvPQ8zumoXO37I6P23n3wRbI7AHrnS/itohdWzB0QRTBasy3jsOAhcW3mW36AEXC83Z7orUYxSZai9ECFO4UfRGNAjZTS9fx83gm02qL1y5FN8Y8ZKKozniP7v7jnAIxvzdpIccU6dhI62jtGh6zkKIX703eg09DLKAAxvuKMe5cnDpev+4aZvzFfffd19LT023t2rU77kF+78KFpl8exm9kvryPedwWvFs4IICWsnzG0GKViXGVw+9BWszRmpcx6ph4Hriq9a33nIWevwF/QssVen5uD93myu7m7vj2zPMQ87EazyKvsNBgDhjMgpZvHMDCxHcr2hENaWhIQ0Ma1NPgb8ZeZeI7GM8kADEACVrLcT3ftWHPJK5Wim8C5Rgc8g6s3G7Hvfks4iFm4F44E3ENv4r1B//f/xnF2w4nvJd1vXWYojIQAREQARHoAIH0G5E6cLwOFYHYE6hHB9eWzyxQdChGQ2G0nJIIiEBSEshtWG4F2z6ywfuch46TYb6rnaSsqColAiIQVwTyIa7MgMurcWVlloUOVauEtRWt3mB1BPXCYE5A5SDY6cfR+nRBSMENI7bhe88MLpPshhsMIwjgGrG/GQQXg1iCHuXgNo7ox8ACpQ4QaEJH9YbpZqv+DYtDdOL2nWY2+EyznCEQ4Do+zrC4uBgeRz/2XcHR2oyiF9270VqOKTc317dmo+ULO/TZWc/EDne6y+N2dlbTKoWu4X7+85/7oh7iwvn78Q9dxP0HnYy09DnmmGN8N5fhx95111275Ee3fSwTRTqKCBTVELPN73SnYPHAAw/AWPNG300exT6WmfmwjFw+Gu5U33zzTUPMth0d/rRUo+BIF3UUICk40vqG+33nO9/xO/1pkU5xjkIjYsf55Zo7d64hnpdvdUeRjUIaEwUAioEUH10qw/1ESzkKlEzkE1ouWv/RZac7P+LW+YIG3f6xXr/73e9wG8323fnR9WXcp3qIJJW452mVqRSZQEYe+OwL/a0JyhqEFPLKGQwfjrn+NU6Rl/cQLbmGw9Uqr/tp06b5efEeo4Vb+HVMkYkuHGm9SVewl19+ua2BC8TLLrvMCiH60ErOXacUuXjPUayjuEbhjNd76LG0fg1fx/IcdNBB/rVKt40sA0UzCmR037gE74AfU1CA+2Jaox1//PG+ldyf//xnXzzjPUjx+Ve/+pUvWPMYPif2339/3zqOwiAtVhETzr+XEPvRd+vKfBE30lhHCvgUGnmfcT2t+ngulo2JVm0U+OiSkvVhYlkpyIUK4nyGhZaLrmDd+fkcQBw7X+ijRR0tE8mKzwCKmh1JtRAVZ8Nd7b4QWDJ/9COzTz4JWrdRZKPVLAetoC18ize0IxrSjO4D8Uzy11N4wzPJF+foqhQ8fMGO1sJ8B4MHgODdEOTRkbLq2OgRQAxAW4J78A1c169ff71tQdvt9dWv2kl4j+399a9bId6ZAdz3nZYo/OI8ut46jagyEgEREAERaBuBmQFGnWvbMdpbBLqYQNVy8+DGJDD++xjel9PFhdHpRUAEokag5FF0zsDKYNgFUTuFMhYBERCBSARmQDj57G9/s69BPAtQZKPwBpHCT4yPwxH3dOmHTs0diVZz3C/M1Z/focjR+XB76bvL6sxOpR0nT5GFJlhLlL0PYXQGWKJzrs+hZr0PxHLnD8yiKES3dEzsNA+Po8TtXMcOb7edHflczykPsQbbkiIdG2mdy7MSAjE72p0w59ZzTis3ig67S7SgoSDh3FdS5GCi6JiTs/P7mu7xKHy57S5PWuewg9/l49a7eXg+4b/dfuHz1u4Xflzc/a5eYd7Sey0wBgJ9FgQDpd0TqIU11OpnYX28Bvf1IRBQjrQGfAKG3nfuPgvNyF1/7jrmNt6TvD73dA+E5sNl3m/hx0Za546jmEy3s7SOozAYmnh/0rrMPUNCt7llV3b+Dq0bLeJ4b7p7jlaq3B7uRpaWcHzOcJsTF13enEe6lyKtCz2Gy+HnD9/eGb/Lwe1ODCq4aOZM609RjyI+u6X4HEL7oTGCc7QjGrL5KTkwhmJ8+LuU72U+d/keZn5KcUugoqTEPscAEYqxVRBNizEQZG+4ox0Jq9KA+9aKVulpcarrLVp0la8IiIAIiMDuCdwqIW73gLQ1HglIiIvHVlGZRKBzCXj4J3rezRi+exz+Ad+/c/NWbiIgAiKwBwJ0kXQXOgnpFmkEOoaUupgAB2VsmgkruHeCAzTYUd/7IHTEqrO1i1tGp2+RAESF+bcEheKiI1rcSxtCCYDZpo9gHfcaFDiIwQPx7M0dEbqDlpOEQCPEkD/C4u5MWJ2PpMtJpaQn4FG4fuEF+xyWoksRIzEHFtqTr7jCJsMCrgcsXpVEQAREQAREIAUI3Lp9aG8KVFVVFAEREAERSBwCFNyb6iyQPzZxyqySioAIJA0BdgoNhqu9uXCPJCGuK5sVHfNwR27r34SVQzVEjamILXUYBDhYFyqJQFwTgFVPwXhYz8JVnoS4VrYUmNGVZ8E4s7UvwgPKAxbouXdwUFZ6c4uzVmao3eKUQDosxLvDTW3F6tVxWkIVq7MIVKKNZ8P6jRZwXB4K16ynPvqojYIAm7bd6ryzzqV8RKA9BOgGme6w6Q441Aq7PXnpGBEQARHYEwEJcXsipO0iIAIiIAKxJ1ABd3DdB2BENFy/KYmACIhAFxCYeOml9uo3vmGMZZO9PcZOFxQjdU9JAWPd62Z1m2AZjdhAcFWnd0LqXg4JWfMe483b9KEF6jebZYa510vICsWo0Pz2G3IuRLgFviBnC28NxoGkG1oLulCNUUl0migSyINLz0rE71NKQgJwLbrs5ZdtFq3fnnvOusGV6CTE+WP8t56jRiVhhVWlRCZAF8RVVVW+q+5ErofKLgIikBgEJMQlRjuplCIgAiKQWgQqFiJAO2JGKImACIhAFxEYe8459tq119oCjNzeC7FLlGJEoGoZBLhXg7GiekxCnNDzEc8F8YCURCDRCOQWWyC9O6zi8E1Da06lthGgV4Q8uKakS1o+EzZ/Auu4k+Cusrht+WjvuCSQN2iQbyEVl4VTodpFoBrx3hj37fM777TyFSts6LRpdtI//2ljvvxleJKWK+l2QdVBIiACIiACSUVAQlxSNacqIwIiIAJJQKBuo3l1my2QNzoJKqMqiIAIJCqBzPx8G3XmmTbn/vslxMWiEWvWmpW+al7lErglxvN/JMTPbv1jcWadQwSiRADWW/mw/qiAZZeEuPYxDmTCGu4oDM6ast1d5X2wlINA3x8xhDMK2penjooLArSIq1i1Ki7KokJ0gIDn2YpXX/Wt3xY/84xl9+hh9Ciw99VXW+FYiOlKIiACIiACIiACOwhIiNuBQgsiIAIiIAJxQYBuKTNyzHIGx0VxVAgREIHUJTAJnUmPH3+8bVm0yHqO1uCAqFwJ9eWwdnnNrHy2WffBFhhxOZ7/w6JyKmUqAjEnQKuuVU+ZNdXCq2J2zE+fNCfMgmvPYRdYgB4T1r5ktvCvwXiRfQ42o1inlHAEaBG39oMPEq7cKnCQQPX69Tbn3nvt8zvusC1Ll9rgww6zE++7z8acfbalZ+tZp+tEBERABERABCIRkBAXiYrWiYAIiIAIdB2BisVBV0QW6Loy6MwiIAIiAALDjjnGOGp/7gMP2KG/+IWYdCaBphqz9dPNNs1E/KweiAl1jlnBhM48g/ISga4nQIs4JgwyMrpaVeoYgfwx+EYcaVY2Ay4r38bz4yOzfkfDYm7vjuWro2NOwI8Rt3p1zM+rE3aAAKzfSt54wz5H7LdFTz1lmbm5NvGSS3yvAb0n6P3dAbI6VAREQAREIEUISIhLkYZWNUVABEQgIQh4DWbVJWYDT06I4qqQIiACSU4gLc0mXHSRffHgg3boz38OywsNEOhwi3uN6ESHFQQ70QNw3UcXc732R7ZYVhKBZCOQ1g0xzYZCiIMll4S4zmndQLpZn8PMCveBNe0bZqufCT5TBhwva9rOIRyTXGgRV7NlizVs22YZ3RFLUSluCdSUldkcWLvNggC3GR4CBh58sB2HOHBjzz1XbRe3raaCiYAIiIAIxCMBCXHx2CoqkwiIgAikKoGq5eY11SM+3MhUJaB6i4AIxBkBjvaeefPNtvKtt2zItGlxVroEK0755+g4f92soRod6QcFO9PTshKsEiquCLSRAN1Trn8LBzVhkuDcRnot756ei4FbpyD+3oGIL/mKeUvvtUDBeIj7x5hl9W75OG2JCwL5EOKYKmEV13PUdsvRuCiZCuEIrJo+3RffFv373767SQ5MOv2JJ6zPXnu5XTQXAREQAREQARFoAwEJcW2ApV1FQAREQASiTKByiQW69TPLyI/yiZS9CIiACLSOQO+JE63/fvvZ3PvvlxDXOmS77oVBFlb6slnNOlixTDHre5Se87tS0ppkJQAhzkNcs0BVCazjipO1ll1Xr+y+8CN8kQUq4docgpwt+vv258w0PWe6rlX2eGa6pmSSELdHVDHdoXbzZv97ZxZiv5XNm2cDDjjAjv7b32zceef5rihjWhidTARiQCA/P98OwHWemal4ozHArVOIQMoTkBCX8peAAIiACIhAHBGAEGd5GhUbRy2iooiACIDAxEsvtbd//GM7Bp1RGTk5YtJaAnVl6Bj/r3lb51sgf7TZqC+bZRe19mjtJwLJQSCrEIOMcN1XLJAQF80W5ffjKHhU2ALL2/VwWck5reXoxjJdrg+jib49eef07WtpGRlWuWZNew7XMZ1MYM177/nWbwsee8xvl/EXXmgn/+tf1ncfuIBVEoEkJpAGN/Q5+rZP4hZW1UQgvgjIN0Z8tYdKIwIiIAKpS6Ch0rya9RDiRqQuA9VcBEQgLgmMO/98a6yttUVPPhmX5Yu7QjVuM4MFkG+ZUrfZAsUXw2LlQolwcddQKlDMCNA9ZcWimJ0udU+EOJ499zYb/U2zfseYbf7MbOGfEZNyuplXn7pY4rHm6PzO7d/ft4iLx+KlQpnqysvt07/+1e6fPNkeOvRQ2zh7tn3pT3+yr69da8fedptEuFS4CFRHERABERCBmBKQRVxMcetkIiACIiACLRKoXGqBNLyWcoe1uIs2iIAIiEBXEOjep48NP+kkm/vAAzYeMVKUWiKAGFhlM4PxsALpiN90ElzE7Yud0TmuJAKpTADWWt6GdyxQv8Uss2cqk4hN3fn86T0Vzx9Y85TNMNv4bvDZVHSoWa8D8EhSN0hsGmL3Z2GcOFnE7Z5RNLaWzpzpW7/Nf+QRCwQCvtvJ4++5x/rDPZ+SCIiACIiACIhA9AjoCzR6bJWzCIiACIhAWwhULTXLGYLOEflnbws27SsCIhAbAhMvucT+c845/uj9PHQeKoURqJjvu6G0+q3oAD/IrOhws7SssJ30UwRSlAC+bwLp2QiIhThmhfunKIQuqDafQUVHBsU3inHr4LJyA+ZFcFfZC+0gQa4LGmXnKfkuZYw4pegTqK+osC/ganLW7bfb+s8+s6K99rIjf/c7m4DBRVkFBdEvgM4gAiIgAiIgAiJgEuJ0EYiACIiACMQHgcpl6BTZLz7KolKIgAiIQBiBkaecYt169rQvHnzQDvzhD8O2pvDPmtKgG8rqFWY9JpkVXwKLnx4pDERVF4EIBGihlTsc7iklxEWgE/1V6Yjt2e9YxIs7BNZx70GQez1oJdeHFnIS5KLfAJHPkDdwoC8KRd6qtZ1BYN3HHwet3x5+2LzGRht77rl27N//bgMOPrgzslceIiACIiACIiACbSAgIa4NsLSrCIiACIhAlAjUbULojnILsJNKSQREQATikEBaVpbvvonuKSXEoYEaq4Kd2Zs/NesOC8ERVwXncdh2KpIIxAUBuKe0df9FUeDC1RSqvUvaJD13pyBHy7hmghwGg8krQ0ybhRZxS59/PqbnTIWT1VdV2XwIb7R+K/3oI+szYYIddtNNRsv+bAwoUhIBERABERABEegaAhLiuoa7zioCIiACIhBKoGoZ4sPBfVCO3L2FYtGyCIhAfBGYeOml9ilGkpd++GEKx1KBiFD2QTAOHJ/bg8+EJdzk+GoolUYE4pFAPuLErXnOAlUlsI4rjscSpk6ZKMj1Pw4uKmER5wS5DdODceUYWy6tW+qw6MKa0iJOMeI6rwE2zJrli2/z4IKysbbWxsCd9lF//KMNOgyuWJVEQAREQAREQAS6nICEuC5vAhVABERABETAqpajU2ooQGiEuK4GERCB+CXQ/8ADrfe4cfYFrOL6H3BA/BY0WiWrWIg4cC+bHweOLt4YZ0kWJNGirXyTjUBmTwtk9wnGiZMQFx+tu0OQQ0zLsvfhrpITXFfSXWVvuO7LyIuPciZpKWgR1wDBqKaszLr17p2ktYxutRqqq23+o4/a57B+W/PBB9Zr7Fg75Kc/NQ4cEtPoslfuyUGgAvETFyxYYFOmTLGMDHWRJ0erqhYiEL8E9JSJ37ZRyURABEQgdQhQiOt9UOrUVzUVARFIWAIT4Nrpo1tusWl/+IOlZWYmbD3aVPDajRDgXjIP8a0CigPXJnTaWQSaEaB7ykrEiet3TLPV+tHFBNK7m/U9CjHkYCG36SOIcjOClr89pwTXZRV2cQGT8/QU4pgqV6+WaNTGJt44Z459fscdftzaeohxY778ZTv8N7+xIdOmtTEn7S4CqU2gqanJquDO1fO81Aah2ouACMSEgIS4mGDWSURABERABFokUFeG+HAViA83rMVdtEEEREAE4oXAhIsusnd+8hM/rs2oM86Il2JFpxxNNYih9CY6pj8069bXAiOugAthWi8riYAItIsA3VPC8irQUClrq3YBjPJBdLdLa1+6p9yC+JcbYB23+ROzgnFBC7mcIVEuQGplT9eUTHRP2WevvVKr8u2obWNNjS14/HHf/eTqd9+1wlGjbOqPfmSTLr/cuhcVtSNHHSICIiACIiACIhBLAhLiYklb5xIBERABEdiVQNWKYHy47sF/xnfdQWtEQAREIH4I5A8ZYkOPOsrm3n+/Ja8Qh1HBm9EJve41gA+YDTzZrHCf4HL8NIVKIgKJRwCDjgJp+Be8ailiK0p4iNsGDKTjmQf3lIX7mW2d57ur9JbebQEKcX3gsrJgPIqOZ6NShwhkFRRYVl6eVcAiTqllApvmz/fFN7rFroMbvVGnn27n/ve/NvToo3EZ6jpsmZy2iIAIiIAIiEB8EZAQF1/todKIgAiIQOoRgBBn/ghjxYdLvcZXjUUgMQkw9srLV16ZnHFttq0yW/OiWU0pLEAQB4/u2tKyE7OhVGoRiDcCjKnYfTBMgJZJiIu3tolYHogcBRP8KVC9Mhg/buUTZpk9IMjBpXpPDFCgFZ1SuwnQKo6uKZWaE2hE7LxFTz7pC3Ar33rLeg4fbvt/97s2+YorLKdfv+Y765cIiIAIiIAIiEBCEJAQlxDNpEKKgAiIQBITqIYQV7hvEldQVRMBEUg2AqMRi+XVb3zD5j38sO1z7bXJUb3GKsSBexXu2D4zyy02G/U1s2y5ukqOxlUt4opA3vCgxWlcFUqF2SMBDhob+hWzuk2IH/c+npewGF73RtBauBcGLWT12mMW2mFXAowTR9eUSkECWxYtslmI/Tb3vvusZssWG3nKKXb2iy9a8XHHQfTVoEVdJyIgAiIgAiKQyAQkxCVy66nsIiACIpDoBOrLzavbAlc/ijmU6E2p8otAKhHIzM21MWed5bunTHwhrgmdyjPN1r9plg7LtyHnBC1AUqlBVVcRiCWB3OHmQcAJ1G2GeFMYyzPrXJ1BgILbgJOC1sKMH8cYmhTm8kbDivhAzEd1xllSJg9fiEtxi7im+npb/PTTNuu226zkjTeMLrD3ve46mwzL+9ztcfRS5oJQRUVABERABEQgiQlIiEvixlXVREAERCDuCcDNT4BxOHLgpklJBERABBKIwIRLLrHHEJ+FsVt6jRuXQCUPKSrjVK19KWjh0edQs6LDEG8GrvOUREAEokeg+6BgbNwquKeUEBc9ztHOOb073FPiudnnELOKBf6ABm/5Py2Q3Sfo1rfnFLn1bUUb0DVl2RdftGLP5NulfOlS+/zOO23OPffYtrIyG3HSSXbms8/aiBNPlPVb8jW3aiQCIiACIiACFvCQxEEEEopA1XLzlt1ngfHfx8jtnIQqugorAiIQRmDtC2bb4I5mxFVhG/RTBEQgnglMmmQ2d248lzD6ZQuYZ8X2ri23Q7GEOEIJmB79/RPWLbvBbrj5eFu6Mj4sc/79bzN4/lQSgeQmsOKf+D8GQs7gs5K7nklYu7/9zawlj8QTR22wa8+faRefOsvO+97Z9txbY5KQQOdWqYetsXSrs014o6ZaOsW+Z/vYwzbTrrQP7CrbYnB/GqXUuzdCHG6MUubKtssILF682FanuEVpl8FPwRMPxMCJ0aNh/a0kAiLQXgK3yiKuveh0nAiIgAiIQMcJVJcgFtGIjuejHERABGJKoAneDPc72LOph6f6eC5YQkCGC04xbYJOOdk7G0+3xqZ0O+F8ZodG7cLEa+q23yv+TRc2gU4dSwJwT2kbZ8TyjDpXJxLIyfHssmsjvf962+zaE+2n/znKhh2Ubd+Y2rXP1U6schSz6r8979RjlVb3/6ws41c2Mi3dRvoUosNgNjyozv1E79coXsRdmnUu3KUPGzasS8ugkyc/gQULFtgaxPPMyMiw4cPxDaMkAiLQLgIS4tqFTQeJgAiIgAh0mEBTrVnNerhCO7LDWSkDERCB2BMYOMSzAw6N1BEZ+7LojO0lwI65+GjDoBDX3nroOBFIMAJ5iBNX+l8L1G4wyy5KsMKruJlZtof3H+Jt+ik+nq9qsXglkLu9YNG9TraWByDExSsDlaujBDIzM62oSO+RjnLU8bsnQOvLPn362MqVK/0dJcbtnpe2ikBLBCTEtURG60VABERABKJLYNtq87wmC+REzw1LdCug3EVABERABERABESgHQS6DbAAXVMyTpyEuHYA1CEiIAIiIAIiIAKxJFBQUGCFhYVG6zgmiXGxpK9zJQsBCXHJ0pKqhwiIgAgkGoHqVRbI6mmWkZdoJVd5RUAEREAEREAERKADBBBXMneYWSWEuF4HdiAfHSoCIiACIiACIiACsSHQr18//0QS42LDW2dJPgIS4pKvTVUjERABEUgMAhDiTNZwidFWKqUIiIAIiIAIiEDnEoB7Slv3JvKkWzoIc0oiIAIiIAIiIAIiEOcEJMbFeQOpeHFNQBFb47p5VDgREAERSGIC2yDEdR+cxBVU1URABERABERABESgBQK5iBPXuA3xcktb2EGrRUAEREAEREAERCD+CFCMGzt2rB8zbtkyWPcriYAItIqALOJahUk7iYAIiIAIdCqBujLzGqoRH05CXKdyVWYiIAIiIAIiIAKJQSC7bzBOXHWJGWLGKYmACIiACIiACIhAohCQZVyitJTKGU8EJMTFU2uoLCIgAiKQKgS2rbZAGl5B3fqnSo1VTxEQAREQAREQARFoToAuuqsgxPWa2ny9fomACIiACIiACIhAnBDIz8+3RYsW+VOkIpWUlFheXp4VFRVF2qx1IiAC2wlIiNOlIAIiIAIiEHsC1WvMshHoN5Ae+3PrjCIgAiIgAiIgAiIQDwRyh5qVzYyHkqgMIiACIiACIiACIhCRAN1QbtmyJeI2rly4cKHV19e3uF0bREAEggQkxOlKEAEREAERiD0BWMRZzqDYn1dnFAEREIEuINBQX2cfzXjSli78wHJye9qocQfb4vkz7LRzf2Jp6cEBCetLl9qzj91kZ17wM+vVR257u6CZdEoRiD2BnKHmlb5qgfrNZpmFsT+/zigCIiACIiACIiACeyCQmZm5W2u3xYsX7yEHbRYBESCBNGEQAREQAREQgdgSaDKrKTXrPjC2p9XZREAERKCLCPzj9xdYenqGnXjm92zRvPfslhtPsmce+QVc9O78FF+x5BN757X7bdWK2V1USp1WBEQg5gS6Dwq66qZ7SiUREAEREAERSGIC1dXVe6xdUxP6CtqYamtrrT3HtfE02l0EREAEOkxg53//Hc5KGYiACIiACIhAKwjUrDevCW4L0PmkJAIiIALJTmA5BLZP3n/aJu97ghX2Hmjf/dlLdsRxV+5S7QMOPdv+8mCp7bXfibtsi7Ti3dcfjLRa60RABBKJAF10c2BS9cpEKrXKKgLtJtCed9fW8g02+5OX2n1OHSgCItC1BNauXWsXXXSRnXzyybstyO23324DBgywmpqa3e7nNtIV4q233mq9e/e2jRs3utWai4AIiEDcEpAQF7dNo4KJgAiIQJIS2LYGo7+zECOuT5JWUNUSAREQgZ0E5nz6iqWlpVu37nn+ykAgYDk5PXYs79zTLL+gdc/FeZ+/YU88+L+hh2pZBEQgUQnAPaVVyyIuUZtP5W49gfa8u5oaG+32Wy6yjetWtP5E2lMERCCuCFBcO/bYY/dotXbmmWfa+vXrW112uku86qqrrKqqqtXHdOWOM2bMsIqKik4pQmfm1SkFUiYiIAKtIqAYca3CpJ1EQAREQAQ6jcC2tRj93R/ZBTotS2UkAiIgAh0hsGblPCvfXGpjJx1psz9+0dauXmi0UOtdNMTvNFg0711bsuB9GzvxcBs59qBmp6rZVmmffPCMla5eYIOHTbZJ+xyHOHBBoe2zD5+zxfNm+C4oP3z3iR3HlSL/8ESXOgvmvGXZEOxGjD7A31xVudnen/6IHX3S1+1zlGvl8tlWPHJf++tvzsb2gL3x0h3Ws9cA2+fAU8Oz028REIFEIUAhbuO7Zo3bzNK7J0qpVU4RiEjA8zz/XVaybJY/CKX/4LE2acqxRhHuL786E8fs+u6qq91m8+e8aSuWfOofc8hRF8GCfJDV19dChLvYvpj1mhX0KMKhAf99x/deS+eJWCitFAERiEiALh2zs7OtvLzcevQIfrtyx0YI4Ey0TMvNzfWX+Wfr1q2Wn5+PWzH4f/y2bdv8fdPgaj0nJ8fq6ur8qVu3bpaRkWHc3r178L3G3+GJ+fFchYXBGKnp2+MmM3+em/lmZWEAb0iie0ueyyV3jPsdjXllZaVR9COr0NRSGR1X1q+goMA/pKSkxM4991z79NNPfYZc6fajkOg4hzNx56NAScs/Mlm5cuUuefH/CFoFFhUV7Wgfd6zmIiAC8UNAFnHx0xYqiQiIgAikBoEaCHHdBqRGXVVLERCBuCawrbrCHrnne/a/1062157/u/3rjuv8GG6f/n/2zgM+qmrr4mvSExIIKRB676GIgFQpImADRBQs6AfYuz7EjqAgYkPfAxV9KooNFVB8IKgUEQHpvYZOIBAI6aTnO/sMN0yGSYOZZMo6/GZuO2Wf/w25N3fdvbcS1p65vxG2rF+Ij98dgU3/zMcf/5uG15/rqQS5fwrmdOLYbnz41u2oU781Bg0fp0NQjn2gCU7FHdB1QqvW0CKcr2+AfqgoDxblY3jHGR3FHtmp+3nz5WtxOGaj3r1y6Zd4emRdfPPJk/hjwXT8+OWL6vMCRJyrXa+NeiDgjxq1miI8oo7RDZckQAKuSCDo/P9hhqd0xbNHm60IzP3qZZw8sR/9Bj6hX1yZ+9U4XaNScFWb1y55meXZB5uph+2BuOGWZ9VD+RxMerYHRJzLzspQYZ376/ah6top1zypJ6WocfRBfpEACRRLYNeuXejSpQtGjRqFkSNHomHDhrjvvvv0y2dffPEF6tWrh+nTp6NJkyb4/PPPsXbtWjz88MP4+eefcdNNN0FCSEoRr6ywsDB89tlnejs+Ph59+/bF2bNnsXfvXi1CyT7rIqKRjLt161a8+OKLeOeddwpVmTJlCq6//notKs2bN08fEyHqkUceweTJk9GvXz+sWbOmUBtHbIgAN2bMGMyePVvP/80339TDiHAptnz99dd47rnndNhNEdMOHDiArl274qGHHtLt2rRpozlKo+XLl+PYsWN6e9WqVXjsscfQp08f3V6ESGFmi4mwGjt2LDZv3qzZ7969u1BfwnDjxo147733sHjxYgwePNgRKNgnCZCAnQhQiLMTSHZDAiRAAiRQGgJ56tW6k+Z8KKWpzjokQAIk4EACgUEhGD7qLQQGVUbC6aMYNvItDL17Ep58+Rd4mbwwf/ZEjHrsv7rO5A93aVFN3syXIuGyPnz7TrS/apAS4trA29sHA27+FzLOpeD40Z26Tv3GV6JyaDV9rHHzLjA+oWEqJ5RFqVW3JQYOe8liD9C9z91o32Wweiii3hRW9V99fyNen74dnbrfihDlGeDrF4DmrXuhbsN2hdpxgwRIwMUIiBecv/L2YXhKFztxNNeagHipLV/8CarXaKQPNWjSocBjW65Vtq5d8qJL0tkTqFGnBbyUN0y7TjfiTPwRHDuyXXuXSx9SatRqrq95QcGh2huuqHF0ZX6RAAkUS6BFixaIiopC9erVtdC2Z88efPvtt/jnn39wxx13QHK61a9fHyL6iLAzZMgQjB8/HiNGjMCnn36qRSkRk0RI+r//+z/s27dPjycecA8++KAW0Bo3boy//vpLr1sbc/jwYS08de/eXYeW/PLLLwtVueWWW7B06VJMnDhRjysHp02bpsUrEbBERJw0aVKhNo7YeP7559GpUyeMHj0aL730EnbuNN/fP/PMM2jZsqXe/+6772qB7eWXX9aCpuzPycnB22+/jR9++AEffPCBNm3QoEF6+eSTT2qxrlu3bpqvtIuNjUViYqJNJiKCyrjXXHMNPvroI+2ZZ9mXiH1fffUVQkND9fl5/PHHHYGCfZIACdiJAIU4O4FkNyRAAiRAAqUgkBmP/LxsJcTRI64UtFiFBEignAiIEBdZoyH8/M1v2otAJ2JZ9RqNC/b5+wchTHmfxZ88qK3asmEhjqrQW206XF9gpYSN/Oi7JLTreGPBvtKuiIebdTEEuyuU2CelRu3mFlUY3tcCBldJwLUJME+ca58/Wq8JSDi5qFrN8IHyFJeQzVLkBZXCpfC166qrh2Pif7aiSmh17QG3Z/sKXf3k8ZhCzYxQeLKzdOMUas4NEiABKwIS8lHEOCkRERFaVFu0aJEWeiT0owhKElZx27ZtkHCQ1apV03VFvJNjv/76q94WzzAR0kSEmzNnDoYNG6b3SwjFzp0Lh3PXB9RXgwYN8P333+PHH3/EkiVLYO01J/1LEUFOPL4OHjyIn376Cdu3b8eKFSvQunVrLYLpSg78Ek+4Xr166RHE5pkzZ+p18Qxs3vzCPbkIkgsXLtTHJISlhIeUInxFzLQsxu8yEc7E81BCUkr9ophcccUVOHTokBbvxCtQBE6jGH0JJxH47r//flx55ZXGYS5JgASckACFOCc8KTSJBEiABNyWwLk45VGi4sP7R7jtFDkxEiAB9yDgY0MY8/b2Vfkc0vQEjx7cqkS6IP2Gv+WMfXwL57KwPFbWdfHKkyIPM6yL8ce39X5ukwAJuCCBoFqA5NCFihzAQgIuTGDEA/9WOaEq4z+v34I3X+6H9LTEQrOxvnbJ9a2yEuHmfv0KFv08VXnGmR9u5+cX/r9g3a6kcQoNyg0SIIESCUgut+jo6Ivqyf89CZt48qSKanO+NGvWrCAPWdu2bXU7CdMo+d6MnHBGXVtLEd4GDBigvc1kWVQR0U/yzUkeOAnr2KNHDwwdOlR/xFNPcqw5sohYuX79+oIhxOtXPvJ7S8J7GsWSh7GvqKX17zKjXlFMRNhbt24dxIPu6quv1p6CRhujL/EQFM85Ef06duyoRVGjDpckQALOReDiv+qdyz5aQwIkQAIk4E4EJCylv7xNx8uPO51WzoUE3JGA8cet9dxMML/NLw8JszLTsXvbMusq5bOtHoywkAAJuAmBwFrmiAEZp9xkQpyGpxKQEJTjp65Hn+sexO7tyzH+qQ5ITUm4gMPq2iVe5q88eSUaNu2Im259HhGR9S7UtVyzalfiOJZtuU4CJGCTgIRQlCLikoSllLxsxrbskyIeVjVr1tR5yfQO9SVeajfeeCH6g3jFSS61gQMHGlV0vrnlKi+a0Y+xlArfffed9rKrW7cu4uLitIBX0NBiRUQwybkm9WS8p556CmfOnNF9S+46Ef6Mfo2lRfPLXpUwnRICU0Q3yQEnufCEmdiybNmF+38jf5sMaGmH2GcUEfWkZGRk6KXUk/xvRimKyYIFC5CQkAAJgTlhwgT88ccfKldm4b4+/vhj7aEnNoWHh1/khWeMwSUJkEDFE+CT0Io/B7SABEiABDyHQEYcEGAOgeE5k+ZMSYAE3JFA7Xrmt4bX/PltoemlJp/BhtXmxPKFDthxQ0TCfJU7joUESMBNCKgccSZvFZ72XKybTIjT8EQC2dmZWLXsK5V3NQQjHpyGp1S+1cSEEwXXRFvXrp++naAepmcXhHQuyhNO8rIapaRxjHpckgAJFE/g999/x4wZM7SAJvnYJEziN998o0UnyUcmecskTKWEkXz//fd1+MUXXngBIrxJ7jSjSGhEyWFm6VEXExOD/v37a082EdvmzZunc52BMwhAAABAAElEQVSJ51bv3r2xf/9+3HrrrZBwiyJuTZkyRYfCFDFPRL2pU6fqnGiS/0zK2LFjdc45Ced422236bHEW05EKClSzxAW9Q47fD366KOahcxLvNHE80w81N588029X2ycNWuWnsO4ceP0XFevXo01a9boPHvCUsQ2CWUpnoKS201YSVhPyR8nud/kmJSimMgxEQSFn4iB9957b6G+Vq5cCREC77vvPi0O9uzZExLOkoUESMA5Caj4YCwkQAIkQAIkUE4ERIir3KycBuMwJEACJFAyAXkjNTMjDTnZWYUqZ5xLRVrq2UL7slRYSnkAKOWKTgMhb+T/vWwWfP0C0LHbUBw9tE15APyJh8d+V9AuOytDPRjI0n+IGyEmz6Un6+NyTNpKMfpNST6tt+VL7JIi4l5w5XC9Ll+hVaOQdDYOp+IOyKu3qKK2/QMqFRznCgmQgKsRUB6ugTWBdCXEVWV+F1c7e7T3PAF1PVq2aAa69LpTh62LvqIfQipHqI/5+mXr2pWZka6vZ1vWL1RecZ2wZOGHurPEhONIT01U1zdzXun9e1ajR9//w7HD2xBVs2mx4/B8kAAJlI7Addddp0Wt0aNHw8fH/HhYRB/5WBYJi/jXX3/hwIEDEKFHBDvLIuKUeHRZlqZNmyI5ORn+/uolE1Ukf5xlOX78uB5TBHrJK2eML8KUeI2JN5nlOCKGHTlyRHvESU47ozz22GOQjyOKeOKJyCWhOatWrVowhKxLPj2Zg9g/YsQIfSw4OBhbtmwpqCeipXyMInnuJN+eiJvCXjzsjCLzs8VEhDzxwBNR9Oabbzaq65x5Rl/iNZidna0/ffv2LajDFRIgAecjQI845zsntIgESIAE3JNATjLyc9LpEeeeZ5ezIgGXJHAuPQW/fP+6Ftz27VyJf/76HiLAzftmvHqL/zj27vwLfyyYrkJQnsOCOW8i4fQx7FKhKP9eOgteKl/Fky/9jFZt+2L54k/w1rj+2LT2F9ytvAB8z+eXW7n0S+zY/IcW1L6f+SxEZJM6G//5WfOa89XLKn9OEvbv+QfzZ0/U+9au/B5b1i3Ait8/w4Y1P+l9X370CA7sXVvAWEQ/ERDHP90RWzf8ShGugAxXSMCFCajwlPSIc+HzR9M1AQk1+dE7d2Ld3z9i0U/vorcKUdm+82B9zNa1a8DgpxAeWRfTJg/FzOkP4rqbx6Beo/ZY8OMUfa2sXCUSLdr00dfEN1++FkGVQksch6eCBEigZAIidIkHmYhKhghWXCvJ09akSZNC4phlfRHjrIshwlnvl22pLyKWFOvxxdPNUoTTldSX1LcU4Yz9jl5ainCWY0nIzho1zC8LWO4vbl1EuKKKLSbyEp/M25YNRl9SR1iLEMhCAiTg3ARM6o94c+Bf57aT1pHABQJph5B/cCZMLcYC3kVfxC404BoJkIBTEEiNQf6hr2Bq+ZxKEWf2AHEKu2gECZBAmQm0bAk0bp2HIXfyNlLgyVv7eSpnXHBIWJlZXmoDEfBMJi8dAuxS+3CmdpImY/TN3uqNaWDIEGeyjLaQQDkRSN4FHP0BaCH3Seb8L+U0MocpA4Hp04EXX8rHe19cyO1ThuZuXzU3N0eFTs5DUmKcFtisJ2zr2iUeH9lZ5wpeKpFHVLk52fDxNf8/kG15OaZquBKrz5eSxjHqcQnlZWjCwh+8lCcRabgbAQn/KOEK27ZtW6apbdq0SYc4jIqKwuTJk9GmTZsytWdlErAmICE5JWyoiJMsJEACRRL4D0NTFsmGB0iABEiABOxKIOMkTL6VKcLZFSo7IwEScAYCQcHmN/TL05agSlXKcziORQIk4GgCyiNO8mOZMk4AQfUcPRr7JwGHEPD2Vo+YvGFThJMBbV27tDeHRXhl8f4wRDhpo71BLEQ42VfSOFKHhQRIwDYBySG2YcMG2we5lwRIgARIwGEEGJrSYWjZMQmQAAmQQCECmadUWMrqhXZxgwRIgARIgARIgARIQBFQLyuZfEPMeeIIhARIgARIgARIgARIgARIwK0IUIhzq9PJyZAACZCAExPIECGumhMbSNNIgARIgARIgARIoAIJME9cBcLn0CRAAiRAAiRAAiRAAiTgOAIU4hzHlj2TAAmQAAkUEFB5pDLjAX8KcQVIuEICJKAJ5OXlFiJhvV3ooNoo6bh1/ZK2c7IzS6rC4yRAAiRQPgQoxJUPZycaxfKaZrlelImlqZOdnVFU8xL3W/YvudmKKmUdozT1c3OzVXjWC2Na2lKUHZb7SzOGUb8sdY02tpb26sdW39xHAu5GID093eFTysnJcfgYxgCWY1muG8ctlyUdt6zLdRIgAfclwBxx7ntuOTMSIAEScB4CWWdV4vYcmOgR5zznhJaQgBMQSE48jm8+vB33PfM7vH38YL1tbWJJx63rF7cdd2wblsx/DW063obWHYcWV9Wlj+Xn5WHdX59h77ZFCAmtgSu63Im6jTrrOaWnJWDT6q8RGlYHiQlH0bHHKPj5V9LHDu79C5vXfIu0lHi0aHsj2ne7W+fpkYPrV86Ef0AI0lPPqL6uQo06bXUbOT9r//wERw+sQ70mXXV/IVWi9DF+kQAJlIJAkMoTd3IJTLlpKgmW+f9iKVqxiosSkN+/J2N3YMDQ1/UM5nx+n/4d3bjlNTZnZF3fulLimSPYt+N3JMQfQOXQmuhyzSPWVYrd3rZ+Dg7vW4V+N0/Q1w25Tt4y8pNCbdJSTuPvP/6trg2ncfPdHxQ6ZmujNDbl5uZgx4a5WLVkOu55/CcEVqqq+581bQhGPf1rwXXJVv+yrzRjGG3lmvjP8hnwD6yCXZt/wbD7Z5nzzRkVSrksy5il7JLVSMBtCZw4cQLPPPMMYmNjsWzZMofOs1u3bnqsoUMde2//9ttvY926dZg9e7aeT0njFnX8u+++w5QpU9CiRQv4+Phg8+bN6NOnD/bt24ejR49iwYIFqFOnDmJiYvDaa6+hXr166neWt96+//770aNHDz3+4sWLMXnyZJw7dw59+/ZFYGAg/Pz8EB0djQEDBkBycRpF6khfsqxatSrk/DRp0gRPPPGE7tuoxyUJkID9CVCIsz9T9kgCJEACJGBNIPO0eY9fuPURbpMACXgwAXlQOOy+L7QIJxist63RlHTcun5x21G1W6Ny1drIV//cuWxXDzeDK1fHkP+boUS3r/Db3HEY+fQC9Ye2L379/llc1esB1G7QASK8/f7TBNww7E2cPX0Ixw6uQ99B43D65D4s+uF5RNZoqkS3Ltjyz3dITT6JDt3/D+IJMHvGXbrvoOBwbPz7S7S8YhDadx2hRM6JWLfiv+hz00vujJdzIwH7Egg4L1yfiwOCG9m3b/bmdARatR+MJq2uLbCr35DXEBwSWbBtvWJd3/r4339MQ9drHlbXtruRmnTS+nCJ283bXI/6TbrBLyAYNetdgaPqOmBdKoVEoE7Dq7SIZX3M1nZpbPL29tHXjhWL3inoQsa57d4vShThpEFpxjA63quESnnx54oud6Be486XJMKVdUxjbMuliJxhkY3U/IIsd1+0fmT/moKXZy46yB0k4CIEatSogWuvvRafffaZ3S0WL7uNGzeie/fuuu9vv/0WNWvWtPs41h2KCDZ8+PCC3SWNW9RxESffffdd9O7dG/Pnz8esWbOwYcMG+Pr64rnnnkNKSgq2bduGXr16Yfny5WjdurUeMz4+HiLuiaA2bNgw9O/fH59//jlOnjyJSZMm6TrHjh3DQw89pPdLvwEBARDPPOlr0KBBeP1180sg4on8wAMP6Pn88MMPBXPiCgmQgP0JXJDE7d83eyQBEiABEiABMwElxJl8KwNefiRCAiTggQTkDXQJMSXLHKuQWaFhdQuForLezpVQVapdbk6WJnfR8fP7Dazn0sQDN8/YLFjKfnnrPk99jOLt5QOT+mcU+UNU6lkWGV9KZkaq5W69npWZftF87Fm/uL6s56n5KvuljcFKjKwaUU894LwJIpR16nm/+gM8A/En9iAlKQ5nlNeEiHBS6jfpjiP7V+v5iKdDj/5PQ7zZGjTtcf7YWl1v77bFaNS8t1739Q1QAl0z/bBW2rS9ajhq1m2nHi42RLurblf9mdvoyvwiARIomYB3kPl+KUMJcSxuQ8D4XZ6dda7Q9U48kIMqhRXMs0rVWsrz+MIjGqOdcd20rm8dWjnhVIxuLy9aVAmrrfu1vlYYg9m6Jvr6BaLSeSFQxDGT6cL10WgnS7l2WpbirvG2bJL64pEtxbgme3l5W3ap16tG1C/YV9YxDHZZmcq71KIY9sguuVZJKapuWcfUndn4sr63kOvvoh9fUOOa72uMJnIdNXjIvn3bf1cvuMwyDuulrfuOQhW4QQKlJCCCTJ76v5iZmYmMjIxCrWSflLS0C/9/5OdYRCGjyHZqaqr+ZGWZf5ZFFJN9UuS4Zb/i7WVdrPu0PC79GHYY+3NzcyHiklFke+TIkVqoMvY1bNiwkPeX7Bc7DBuNerI0+k9OTrbcXWjdqCP2CC+jVK5cGdWqXUi7YT2u0c5gaH1cvNGkiEApIpyt8uSTTyIyMhKjRo3SIpkhwkld2S9C3cMPP4yzZ81/uwQHBxeae+3atSEed1u3btXebtJu6tSpmuGYMWNkUxf5XS+i3C+//II5c+YYu7kkARJwAIGLfxM6YBB2SQIkQAIk4OEExCPOP8LDIXD6JOCZBPbvXoZlv0xGhx4jER+3R3te3f7AN0rkqY49Klzi37+9r0NDydvvltuZGSlY9r/JiIxqijOn9sNHiT5NW/cvVF9CJB5TYRAH3z1d/8G/ask01GnQUXltzUb3fk8oEaq+9uha/9fnaNisJ44c+AcnjmzGiMfmXnQyTp3YjdhDG9VD0aqI2bVUheZ6VYXJmoYTR7fqPg/uXYmAwMq4ZuDLWtwSzzB5iHfs4HrtPdCm4612q68eX+CPn19Dlao14aUeqB5S3moNm/dC7xtf0HZbz/OUEtb+Up4EEmLzZOxONee96H7tE5pXbcXDKPKQNTikGqrXbAk5L5WUOGcU+SNcwk3GHdteIM4Zx/wCKilBrrsWMsVDLtDiwbGsnziyBc1aD1APcC/8nvcPDNaeFUYfXJIACZSSQGAN9dSQQlwpaTl1NRF4/v793/ra0qzNAByOWS1Pp3HzPR8i41wy1quwwafj9ulrmISTlGte45Z90aLdjViz9EN9zZSXGyQk5V2PzsHWtbML6svEf/xsNKKvHKJethgICSuZmnxKear9T78g0ahFH31NKu018Vx6ohJ9vlAe0Ydx4+3vFuJ6YM+f2LHxZzXWzfrlDMuDRV3j5fpibZOE3Ny+YR5OndiFWnWvUGE0/0BAUBXtfW3Zp6zr+wHF7o4Hv0XskY027yNsjRFZozl+n/eKvk77B1TGfnU9Fy9tuT4e2L0cx9R1Xq7lcp8gL6IIc3lhxbpuWedlbb+xbX1vccOwt/TPg5yrbet+RKMWvdSDcx/NqpG6zv82b5x+EUZCRosNItptUN7m7Trfju3qHFved1zZ7W5jGC5JoEwEvvnmGy3MiIizdu1abNmyBW+99RZuuukmvPjii9rDTEIeiqeWeF6Jp5UIURERERDPrvfff197Zo0bNw7Tp0/XYRIlfKIc27RpE6ZNm6bDJC5ZsgTysVXee++9i/ps166d3jd+/HgdqnHVqlVo1qwZxo4di48//ljf61epUgUzZszQ/e7YsUOPJ6JieHg4WrVqBfFUu+222/T8kpKS8MILL6B9+/aQuqdOndJtxWvsrrvuQvPmzREWFoYff/xRh7N85JFHCkwVIU3GFS+0O++8E4sWLdJCnGwnJCRg4sSJmpvMT/o2xhVh0JrhihUr8K9//avArr1792pbjx8/jjZt2hSMab0SFRWF06dPY/369Xj88cetD6NTp07aFjmH4hFnq1SqVAkSpvPrr7/Wh3/99VdceeWVOmylZX05tyIWyvFbbrnF8hDXSYAE7EjgwutWduyUXZEACZAACZBAIQJZFOIK8eAGCXgQAfGeylM5IkPD6+DaweMhobV2bZ6vCTRRDxyNt+Jlh+V2WGQD7SmQkZGsH1pKW8vjUj+6/c3oef1YWcWp4ztUXpyDSjTrhF43PKsELB/9lvtCFX6xR/+ntCglD60kj5mtIjnURIhq1uY6tO10G0S0iqrdRnnCpeg8O3c+PFvbs2PjPN1cHibKA7EuKgxY9Zot7FpfBETxYJOPhIe885EfsHf7b0pk225znvJwM+Nckgqz1QUD73xPhSZ7FKuXTr9omof2rdTzM3l5aXEzIDC0UJ3AoFC933KnvH2flhyvwpS1R1LCEc1U6hnFVhs5FrNzKaI7DDGqcUkCJFBaAhKeUkJTsrg8AfFMk1CPaanxKh/prTqnWnLSCZ3DTcQgEY0Mbyy5ngSc/90qnm+Se1PCBHe8erQKJ7xQhW6uUai+wOk35FV9bZPrXdurhqmQi75o3vZ6JeZdY/NaIWMVdU2U3+Vh1Rorr2izJ4wBX16ESUmMw01KnBMPaetS1DXelk3yYsuerQvRR71UItfaauramZtTeDyjf3n5RPKQSinLGOJVKPcP4iUuL+QMuHWyErl+1P1In+HVGqpre7TmFV6tUZF1yzKm7ryIL+t7C6nWoNnVurZ4kYcr5vISkFz3a9W/EtVrtcLBPSvUy0f+qKtCgMp85N5Ffpas7zuKGJK7SaBEArfeeqsWeCR3mAgvb7zxBp5//nmIl1e3bt2we/duvPzyyzqnm4g8P/30E1566SU8+OCDWkwSoUa8w6Sd5Bg7fPiwHlM85iZMmKDXJdThBx/YziP5+++/2+wzOztb2yEC0+jRo/WYO3fu1P1JrjQRmyQc5JEjR7T4JyJW/fr1cd1112m7RIgTQckokpeuZcuWui8RFcWbTuYlgpPsFwFPcr1JOEZrW/39/XHDDTdoBiLQLV26VM9TRDcR70TcM7zeLMe1xbBz586F7GrcuDH++usv7dVm2FrUUnLFSRFRzroY+4w61seNbREc5RyJqCoioNHOOG4sZX9JfRl1uSQBErg0AhTiLo0bW5EACZAACZSFAD3iykKLdUnA7QjIAzlDvAmqFK4fLsokTVahqKy3xRNLHpRJkbfmrY/LPnmTXUpEVDP1sPAEfvz8Xh1esorK/3Yydod6ezavINSWeJcVVRq16I2Vv72Lpf97HdVqtNDVJDSX2C0hs8RjTOpojwZ1VDzsvv3oDv1gzPA6s2d96UuEOClig3g1yNi25il1pVQKNj98kIeNEuJKPCyMIt4XsYc2KM/EUXqXiI7Z2eawOEYdEUyDK0cam3q5afUs9L7pBT1/P/9gvU/CWxrFVhvJaVO7fgdEVG9iVOOSBEigtAREiMtSAkS+OSxuaZuxnnMSkOufhPEVr24pEory7BnzQ2svU+FwjJbb4lUcosQ3aWdcPy2PS18i3oloZ6vYulaUdE0UzyzLIuErF84eq8U9y/3W60Vd463r7VP52aLqXPD+kFxtRRURnnRR114ppR3DqCve7VIs7zn0Dqsv6beoumUZ06rbgk1b9xbGQSP0p7y00lCJc3u2/qpeeDmGc+kXQmRbZrG1dd9h9MUlCZSFgOQfkyK526TcfPPNiIuL055doaGhqFevHsSTSsIf/vzzz9orTVdUX3369MGBAwewa9cu7VV17733ai8zCTMpHmjimSZFluLNZqsU1+fs2bN1DjNp16BBA8ycOVN3IW0kn5p480moSfFuM4rxf0m2LUNgShsRoYwiti9cuFBvCgOZnxQRoER8tC7SV1BQkGYhx6pXV9E89uzR1SzHkR2W29YMrY97qRfiRJwrTZHwklLEC8+6GPvq1q1rfajQtohwISEh+pxIf2fOmF9yKFRJbcj+kvqybsNtEiCBshGgEFc2XqxNAiRAAiRQVgK56cjPSWdoyrJyY30SIIEyEZAHiLfdO1N5EbTB3C8eUOGn1uv251ITdEjFkjoT77dbR3+ORBWWa/Yn91zkFSDt5aGhIQx27vMQel73DNb++Qn+Wvyuze4vp751h0ZfRc3Tsr54RcjD2ZDQmnq35JzZtu4HdO79kBbUZGdYZP0CbwOjrYQmkwe7Rtm9ZaH2rJBccVJE6JN+ReQzyrm0wm3Eg0NCbkkYURYSIIFLIBAYpV8gQMbJS2jMJiRgJlDUtaK010TpJVCJWXUbXaVCPY43d2qH7zR1ffCkUvy9hVlkPByzCn//8R80je6vPeMs+VgKDKW577Bsy3USKC0BPz8/LdSI8GVdRDQS0c0oTZo00XnIjJ9N8XybN28e5s6dq0U6o15xy+L6FFskFKNRROCTj4TRPHjwIO644w5tq3FcloYtlvtk3XocEQaLqmvd1lm2JeSnnJdt27ZdZNL27dshnnsdOnS46JjljmXLlqFfv36aR8+ePSHthKllkZx1wlc8IllIgAQcR4BCnOPYsmcSIAESIAEhIN5wUpgjzsyB3yTgiQQs/9hTHmpGyVeho6RICCkp1tvmfUXXl7f1z5yK0W0l7GKmCmPZvd+TuKrn/Ti6fy1qKHFNwjtJjhgpEmbSsqg/7fU/2bdDhZqU0FA33/2h9r4TQUmKYZusi0eZhPySIvWbRF+LoaP+q3K4/a33yZe96lv3JZ4MEuLM1jyNwfPyzRzjVPivWsojTbww5A/tzf98izYq3KZ4FGZnndNhLus07KzeZA4q8E5MOhurPNiaFjwElNBYVcJqq+0GWsiMPbwRElJN8hFJGC2jJJw+qLwlbtCbkstGjsm2cBDB7pDKrcdCAiRQBgK+VWHyVt5TzBNXBmhOXNXy+idmyvb5feKxbXnNsNzWD59V6DfLYnlc9ser/KDi7WyUvNzcghdPbF0rSromGv3I0nhI26P/0yqE9BmsWTaj4LBcOQsVyzlaXOOljqVNcg07pq6jKUlmkdnymmz0aSwL9S8bpRxDtyuurvL8zlUvpxSUYuqWacyCDguv2Lq3MLz9cnOzdOUNK79Q+XCbq2u0l3pBRv3ddN4m8eLPzTHXkYpF3XcUHpFbJFB6AhKaUcrq1avRu3dv7f0l//cl7KRRbrzxRp1HLj1dvVirighCEtqxRQtz9AgRikTkkRCPklfOKOKxtnXrVmOz4HeK7CiuTxHaJk2apMW/tLQ0fPbZZ9oT7sMPP4SISBIO8uzZswU2inAnIpJRcvXvQfP9sIwjIpRRNm/erPPgybbxO07WpY2tYllHjgsXY5/lOHLMctuaofVx6We5yjVn9CXHpRjzyMq68P9e9svcJS+e5IszioTxfPPNN/Haa6+hZk3zi3fW7cQmyZEnApu0lyL56+RcSjhOyyJ5/yTE5n333We5m+skQAJ2JlA49oCdO2d3JEACJEACJCBCnMnbX8VrqEwYJEACHkjg2MF1+kHhQSXIiIeWhFdMTT6JZCX8HFYhDKXs3b4I7a66AzvP546T7bqNuuDE0W0675vkUwlTgtCOTT8X1L+iy126vohgt4z8WO9fPPdl1c9wHXKxZftB+qFWF5UvbcWit7F78/90fh1dUX2dPL5T5dDZqcS/PJ1/5vTJvVj6yyQ0aXUtaql8aJE1miHp7DGVH+0UNq3+Rj0ci1d/ZGep3C49dRcibuWo3DbiJdbhanO4Rzlgr/rS19EDaxEQWEWLWfImvBHazHqeUlfK1rXfqzxCNSGse9/4nN63fMEb2LHxJ6z6Y5relq+ufR/VbwQPuPUNrP/rc52vRvIA9b7xeV3nyP7V+PWH5wo9IJZcRsPu+wKdet6nee7Y+DPkXf5WKk+feMyJN93Psx5FYsJRLF84RfcjXyMenVOwzhUSIIFSEgiobs4TZ46uV8pGrOZsBERkO7D7T/1SQtyxbSq8oi/k5QXxgKpWsyUO7PlThak8BDkmL0rEx+1W168M9dJFV5Vnc4kOLyx1JCSh5EuzrB9Vu7UKpTwJzdvcoPPP7dr8i74myfLK7vdoFNbXChF6iromWrITgUzsTlK/z0+d2IUufR7Gz189pl7kSENLlef1wK7lSDh1QId/zs5KL/Iaf+zg+kI2SchiCbP8zYfD9EstkoNUPFbkYbSITFIkPKPkTrMsxd1HWI8hHuBy7+DnH6S579m+WPcv7OR6feLIFvWyzWF13e+pPP7CiqwrL6qIyGnr3sV6TAk3WlSxdW8hdeWc/qpy2Mq1Xe4rNvw9U9kbr1+A2bZuDhq36osaddsUeN237zpCv1Rj676jqLG5nwRKIjBt2jTUr18f//vf//DRRx9pgUsEGsnLJmEdBw0apEW2cePGYdSoUfrzxRdf4LvvvisUivHRRx+9yGPr008/1WEgJReahL0UrznpV3LOiXBXVJ/S12+//Ybo6Gi0a9cOs2bNQq1atbTIJ8LaiBEj0LVrV0yZMkWLgZKvTvqS3yXiGbZx40YtaEkuORGqbr/9dkydOlXnaBNxUASnY8eOafExODgYJ06c0OEuRRwz5izcRKSU3HhiuwiV4nkmnoES2lLGmT9/vg5nKcckLKUxruTds2a4bt26guNiV2pqqs53FxMTAxEypYhoKWylvP7663jiiSdQrVo1vS258SQk55133qlFTAkbKrbec889Om+fVBJmIu6JeDl27Fhtt4SaFMF0zZo1BSFDJYedbD/22GN6TBHfVq1apdvJz4G3d+GQydoAfpEACdiNgEnd9Fi9zmS3vtkRCTiGQNoh5B+cCVOLsSpGVJBjxmCvJEAC9iMQ95t6Mn1IZVq/3359sicSIIEKJaDym6Nx6zwMubPibyPloZvkcZFbWgk3Iw8QJf+ZZcnJztR15KHiNx8OxyMvmwVAyzrSXvKdSX++foH6kDwI3bhqFm75v4+VCJetwzIabaR+dmaaqhukBT/Zb8/6i358QT2obaGErsF6DMlTJ6WoeU579SqMeGyuttHIJ6QblOJLHobKQ8uyFPGsMziVpV1RddXzD4y+2RtzlG43ZEhRtbifBDyEwIlFSog7pp7W3+shE3adaU6frjwKXsrHe19c8BipKOvlumR4V1nbUNS1QuoVdU3cu22xEp5WoP8tk6y7s+u2cc1Zt+JTLTbaGk+81ma80RMPPr9CPWB33QfDtu4tDJgiuornuhTjXkavKwHXmLN4xImAK/c3tu47dOMSvpYsNGHhD14q/1MJFXnY5QiIkCPCS9u2bctsu/xM7d+/X4d5NHKlFdeJiEciWjVq1EiLXtZ1RbiyzJOmf16V15Z4rBVViutTvN6qVi38Nop4fEl/0rd8RHyTIh5eksutqHL8+HH9f8jIiVdUvfLcL559Iu6VtYhXnHjOGQJeWdtb1pdceyJKSk5AI2+g5fGyrIsgKf0Y3nllacu6JOBBBP5DjzgPOtucKgmQAAlUCAEJTcmwlBWCnoOSgCcQEBFOipHzwVqEk2MSnlKKCG1FFWkvDzStH2qKR4PkZ5OPZZH6fgHBlrv0ur3qywMG6ct6PrbmKXXNJR9lFeGkXVlFOGljTxFO+mMhARKwIKDyxOHsBrVD/m+L7ykLCVxMwPp6ZVnD1rXCOG59TUyIP4AqVWsjS3m3RUQ1Nao5bGlcc2xdkzPSk5QdafraJzlLDUHKYcbYoePFc1602Yvkh2t71TCb9xbSwBDhZN24l9HrFsKj5b1HUfcd0oaFBMpCwAg9KcvSiHDSt3iPSX64ooqlCCd19M9rMSKc1CmuT2sRTuobop70bfyOk/3FiXBy3BnFoUsR4WQuERERsrBLCQgIQOPGje3SFzshARIoHQEKcaXjxFokQAIkQAKXSiArAQhtfamt2Y4ESIAE7EJAHu7t3rJAh6KSnHGNWvQptl8JSXVo39/IVMsDu5ejYfNe5VZf8v5I6M5cFfpScuCFVyv+j+Sdm+YjKDgcu1T4zXad71DhLBkKuNiTxYMk4OwEVGjK/LxsmOQeyi/c2a2lfS5IwPKaKDnKMjNSlRd2c1zZ7Z5ymc3pk/twXIWJzFFeYRLSODTMHJ4tKTEWyxdMQYOm3dF34MvlYsvlDmLLo+9y+2R7EnAkAcm7FhUVhZkzZ+Lpp59GWFjR4VUdaQf7JgESIAFPI8DQlJ52xt1hvgxN6Q5nkXPwJAI7J6rX0G5SYlzZQ2Z4EibOlQRciYAzhaZ0JW60tWgCDE1ZNBse8UAC+cp7d+frQJ1bgcotPBCA807ZmUJTOi8lWuZMBBia0pnOhn1tuZzQlPa1hL15OgGGpvT0nwDOv5QE/mMOqFvK2qxGAiRAAiRAAmUikJOi3uhWD5P8Csd3L1MfrEwCJEACJEACJEACnkTApALXyL1T5ilPmjXnSgIkQAIkQAIkQAIkQAJuS4BCnNueWk6MBEiABJyAQNZZsxEU4pzgZNAEEiABEiABEiABlyHgXw3IoBDnMueLhpIACZAACZAACZAACZBAMQQoxBUDh4dIgARIgAQuk4AS4kxevoBPyGV2xOYkQAIkQAIkQAIk4EEEAijEedDZ5lRJgARIgARIgARIgATcnACFODc/wZweCZAACVQoAfGI8w2tUBM4OAmQAAmQAAmQAAm4HAHxiMs6A+TnupzpNJgESIAESIAESIAESIAESKAwAQpxhXlwiwRIgARIwJ4EspUQ50chzp5I2RcJkAAJkAAJkIAHEAiIRH5+nlmM84DpcookQAIkQAIkQAIkQAIk4M4EKMS589nl3EiABEigoglkJSohrmpFW8HxSYAESIAESIAESMC1CPiFw2RSf65nnnYtu2ktCZAACZAACZAACZAACZDARQQoxF2EhDtIgARIgATsRkBCU1KIsxtOdkQCJEACl0rgbEYssvMyLrU525EACZQ3AZO3+R4qM768R+Z4JEACJEACJEACJEACJEACdibgY+f+2B0JkAAJkAAJmAnk5wA5KRTi+PNAAm5IwGQCfvneS33ccHLuOqVgNbGBTYHE5sCxAUDstUBCW5V/Sp1MFhIgAeck4B+pPOIoxDnbyUlKNGHkICWUspCAixAIC3cRQ2lmmQkkJibizz//LHM7NiABEiABEih/AhTiyp85RyQBEiABzyCQnahym+TD5MvQlJ5xwjlLTyIwdSqQlORJM3aHudbF2lPT8fbmm4GaS/WEKvmGom14f7SLGIDWYX0RHlC7wid61VUVbgINIAHnIeAfAaTGOI89tAQD1HsM3/MlFP4kuBgBf38XM5jmlopAVFQUqlSpUqq6rEQCjiYQEhLi6CHYPwm4PAEKcS5/CjkBEiABEnBSAlnnn9L78Y8DJz1DNIsELplAv36X3NQlGqampiIlJQU1atRwCXtLa+StGIxz3zyCj/78CLl5uUhTL0z8E/8j1pz8AXn5eWgU2Qg3tLkB17a8Fr2a9UKwv7jRsZAACVQYAX/lxnJmbYUNz4EvJtCoESAfFhIgARKoaALBwcGQDwsJkAAJkIBrEGCOONc4T7SSBEiABFyPQE4yTF5+gFeA69lOi0mABDyWQF5eHnbt2oX4ePcMB/fObe+gWVQz+Hib38fLzc3VIpyc8P3x+/Hh8g9x039uQujjoej6RldMXDAR/xz8B7n5uR77M8GJk0CFEfCLQH5eFpCdXGEmcGASIAESIAESIAESIAESIIHLJ0Ah7vIZsgcSIAESIAFbBOShkW9lW0e4jwRIgASclsCBAweQlZWF5s1VLjU3LP4+/pj78Fx4e9nOb5Sdm61nLR5zqw+sxoT5E9D59c54/4/33ZAGp0QCTk5APOKkZJ02L/lNAiRAAiRAAiRAAiRAAiTgkgQoxLnkaaPRJEACJOACBLJTKMS5wGmiiSRAAhcIJCQkIDY2Fk2bNoWfn/LoddPSrHozzBgxo+TZ5asqJuDK+lfiib5PlFyfNUiABOxLwDsIJu9AIPOMfftlbyTg5ASys7ORk5Pj5FbSPBIgARIgARIgARIoPQEKcaVnxZokQAIkQAJlIUCPuLLQYl0SIIEKJiAP/Pbs2YPq1asjMjKygq1x/PD3dLkHd3S6Az5exaeM9vLywrf3fQtvk20POsdbyhFIwMMJiFdcFoU4D/8p8Ljpb9myRb8Y43ET54RJgARIgARIgATclgCFOLc9tZwYCZAACVQwAQpxFXwCODwJkEBZCIgIJ6JTkyZNytLMpevOuHsGaofVhre3bZHNZDLhnVvfQZNqnsPEpU8ojXdPAn5hSog7655z46xIoAgC4pWemZlZxFHuJgESIAESIAESIAHXI0AhzvXOGS0mARIgAdcgkKNyxPkwR5xrnCxaSQKeTSA+Ph5nzpzReeGKEqXckVCwfzDmPDQHkBCUVsXH2wcRIRHIzc9Vh21UsKrPTRIgAQcRECEuM8FBnbNbEnBOAv7+/jpfq3NaR6tIgARIgARIgARIoOwEKMSVnRlbkAAJkAAJlEQgPwf5OekqR1xISTV5nARIgAQqnEBERARatWqFKlWqVLgt5W1A+7rt8c5t76hUcCoZnEXx9/HHnVfdiTHfj0Hfd/viSMIRi6NcJQESKDcC/kqIyxaPOAri5cacA1U4AXrEVfgpoAEkQAIkQAIkQAJ2JkAhzs5A2R0JkAAJkIAiIGEppfjSI84Mgt8kQALOTEBCMIaHqzxMHlqeuOYJDGg9AOIFZ5QP7vwAU2+bitXPr8aJxBNoPb41vlj9hXGYSxIggfIioDzi8vNyLtxblde4HIcEKpCAeMQxNGUFngAOTQIkQAIkQAIkYHcCFOLsjpQdkgAJkAAJICfNDMEnmDBIgARIgARcgMCs0bMQVkl53qgysN1A3N3lbr3eoV4HbBy3EaO7j8bIz0di8AeDcSrllD7GLxIggXIg4FfVPAjzxJUDbA7hLATEIy4nR0XYyKcnqLOcE9pBAiRAAiRAAiRweQQoxF0eP7YmARIgARKwRSD3vBDnHWTrKPeRAAmQAAk4GYHwSuH4/oHvEVUlCv+957+FrAvwCcC7t72LZWOWYcvRLYh+JRrzNs0rVIcbJEACDiLgXQkmL7/z4SkdNAa7JQEnIyAecSLCZWVlOZllNIcESIAESIAESIAELo0AhbhL48ZWJEACJEACxRFQHnEm70Cor+Jq8RgJkAAJkIATEejZtCc2jduEyOBIm1bJ8a3jt2qPuSEfDMHdn92NpHNJNutyJwmQgB0J+IUCWYl27JBdkYBzExAhLigoCLm5uc5tKK0jARIgARIgARIggVISoBBXSlCsRgIkQAIkUAYCOamAT6UyNGBVEiABEiABZyAQVTmqWDNC/EPw37v/i18e+wW/7/wd0eOj8ceuP4ptw4MkQAKXSUDCUzI05WVCZHNXIiChKTt27KjFOFeym7aSAAmQAAmQAAmQQFEEKMQVRYb7SYAESIAELp2A5IijEHfp/NiSBEjAYQQSExORmqpeFmC5LAI3trkR2ydsR5eGXdBvaj88+u2jSM9Kv6w+2ZgESKAIAr7KIy6bHnFF0OFuEiABEiABEiABEiABEnB6AhTinP4U0UASIAEScEECWogLdkHDaTIJkIA7E8jOzsauXbsQGxvrztMst7kZeeW+vvdrfPPPN2j3ajusObCm3MbnQCTgMQQYmtJjTjUnSgIkQAIkQAIkQAIk4J4EKMS553nlrEiABEigYgnQI65i+XN0EiABmwT27t0LLy8vNG7c2OZx7rw0Ard3ul17xzWKbITuU7rjhXkvICs369I6YysSIIGLCfhWASTsN/IuPsY9JEACJEACJEACJEACJEACTk+AQpzTnyIaSAIkQAIuSIBCnAueNJpMAu5NIC4uDmfOnEHz5s3h7e3t3pOtgNnVrFITvz7xK6bdMQ3/XvJvdJrUCVtjt1aAJRySBNyQgBLi8vOVCJed7IaT45RIgARIgARIgARIgARIwP0JUIhz/3PMGZIACZBA+RPIVXmCvIPKf1yOSAIkQAI2CGRkZCAmJgZ16tRBlSrKs4TFYQQe7PkgtryyBcH+weg4sSPeWPQG8kRAYCEBErh0AuIRJyU7ybzkNwmQAAmQAAmQAAmQAAmQgEsRoBDnUqeLxpIACZCAixDIzVBCXICLGEszSYAE3J2A5IULCgpC/fr13X2qTjE/CVG5YuwKvDb4NYyfPx493uyBmPgYp7CNRpCASxLwCYbJy4dCnEuePBpNAiRAAiRAAiRAAiRAAgCFOP4UkAAJkAAJ2JdAfrYKn5RLIc6+VNkbCZDAJRI4cuQI0tLSdEhKk8l0ib2wWVkJeJm8MLb/WKx/aT3Ss9LRbkI7fLD8g7J2w/okQAIGAZ8QhqY0WHDpEQTy8vKQkpKi/q7I94j5cpIkQAIkQAIkQALuTYBCnHufX86OBEiABMqfQO4585jegeU/NkckARIgASsC1apV0yKceMSxlD+B6JrRWPvCWjzZ90k8/u3j6P9ef8Qmxpa/IRyRBFydgG9lJcSluPosaD8JlJrAuXPnsHHjRsiShQRIgARIgARIgARcnQCFOFc/g7SfBEiABJyNgISllMLQlGYO/CYBEqhQAgEBAYiIiKhQGzx9cF9vX0wcPBF/P/c3Dp05hOhXovH1P197OhbOnwTKRkALcclla8PaJODCBPz9/bX1WVlZLjwLmk4CJEACJEACJEACZgIU4viTQAIkQAIkYF8ChkecF3PE2RcseyMBEiAB1yZwVYOrsHncZozoMgIjPh2BoR8NxenU0649KVpPAuVFQEJT5lCIKy/cHKfiCfj4+MDLywuZmZkVbwwtIAESIAESIAESIIHLJEAh7jIBsjkJkAAJkIAVgQKPOIamtCLDTRIgARLweAKBvoH49/B/4/enf8fag2u1d9z8LfM9ngsBkECJBHwlR1xqidVYgQTciYB4xdEjzp3OKOdCAiRAAiRAAp5LgEKc5557zpwESIAEHENACXEmL1/A5O2Y/tkrCZAACZCAyxO4pvk12DZ+GwZED8CgaYMwauYoJGfQ28deJzYnL8deXbEfZyHgE6w84ijEOcvpoB3lQ8DPz48eceWDmqOQAAmQAAmQAAk4mICPg/tn9yRAAiRAAp5GIE/liGN+OE8765wvCZAACZSZQJXAKpg5ciYGXzEYD8x6AEt3L8XnIz9H72a9y9yXPRqcTDmJF+e9CMlpFxoYipTMFKRnpqN21dp4ddCr9hjC4X3k5edh2rJpmPLrFMS+FYslu5fgnd/ewcnkk+jXsp8eP9AvEH1b9EXXRl0dbg8HsCMBFZoyPz8Xptx0dZ8VZMeO2RUJOC8BesQ577mhZSRAAiRAAiRAAmUjQI+4svFibRIgARIggZII5GUDXn4l1eJxEiABErA7gcTEROTm5tq9X3boWAKD2w3G9gnb0b5ee1zzzjV4cvaTOJd9zrGDWvW+LXYb2k1op8WqD+/8EJOHTMa026ehYWRDHE86blW7fDd/2/lbqQf0MnnhuujrCrwLxfOwda3WSExP1HOSeUmuvp5v9cSmo5tK3S8rViyB/Px8xCVkIQGNsH//fqSlpVWsQRydBMqJAD3iygk0hyEBEiABEiABEnA4AQpxDkfMAUiABEjAwwjkZamwlCo0JQsJkAAJlCOBc+fOYfv27Th+vGJFk3KcslsNFRkcibkPzdUecjNXzUT719pj3aF1NueYmpkK+Uj4xfSsdL0uSykZORlIy7ogUuQqD6JjZ49d1M+plFOQY/nn/4lHXq9mvXBbh9sK1X3++ufRtnbbQvuyc7MhH8sifYk9srQc36hj2GdsyzIzJ1PXF5uNIuE5z6afNTbx3brvMGXRlIJtY8VWf3IsLjkOIsbJxyjBASqkoUXp36q/9vrbeXynxV6uOjOBnTt3Ys+BE9h+pi5i485iw4YNSE1lmEpnPme0zT4EgoODERjIvNP2ocleSIAESIAESIAEKpLAhb/QKtIKjk0CJEACJOA+BLRHHIU49zmhnAkJuAaB3bt3IygoCLVr13YNg2mlTQJ3d7lb546TcJBd3+iKcT+PKyR6SejFB796EFdOvBIpGSlYtGMRQh4NweIdi3V/i7cvxpgfxuj1j1d8jP/+9V+sjFmJ3m/3hrSVz9g5Y7H56Gbc9J+bsDtuN2JOxWD1/tW4tuW1F9nkrfKdPtbnsYL9k3+djNcXvo6B0wbivT/e0/vnbpqLqH9F4T9L/4ORn49E7Wdq4+jZo/qYCH6PfPMIpF2/qf2w5sAa7DyxE92ndNd2igfgkA+GaLtGzhyJrce26vCY7/z+jvYKnLtxLo6cOaLFOBHubPUnA4l329CPhuLPvX9i4oKJemxbXyI8frv2WwT7B+uQoFJHtn0f9MWMFTN0ExEuxT4Zi6XiCYj32+nTpwsMEe84KYcPHy7YxxUScFcC1atXR/Pmzd11epwXCZAACZAACZCABxGgEOdBJ5tTJQESIIFyIcDQlOWCmYOQAAlcIHDo0CEdqq1FixYwmUwXDnDNJQnUqVoHvz31G6YOmwoRpDpP7owdx3fouYin14SBE3A88Tj8ffwx5Ioh6NSgEzKyzV5lIh49d91zuu6CbQsg3l/DOw7HkYQjWnBbe3AtxBPsmhbX4KO7PtKeYXvi9uj6dcPqFuK1+sBqjPh0BK57/zqs2LdCi3d+Pn54qNdDmDh4Ip6f+7z2XhMbsnKy0KRaE3w56kvcd/V9+HTlp7qvaUunaSFPxLwujbpg0sJJaFmjJapXrq7bLhuzDLNGz8LhM4f1dvfG3XFvj3vx5aovEegbqMXBBhEN8OyAZ/V8bfUn3nm3fXQb3hv2HoZ1GIaR3UZe9P9AvOxEoOw4saPOx/fx3R+jkl8lbePtnW7XPAzhTbz6hnUchmoh1Qrx4EbFEMjMzLxoYBHjMjIueFJeVIE7SIAESIAESIAESIAESIAEnIoAhTinOh00hgRIgATcgICEpvSiR5wbnElOgQRcgkBycjKOHDmChg0bMnyVS5yx0hlpggmP9n4Um8dthohf4gH39m9va8+xRpGN0LVRV/yw4QcdBlLE18/+/kx3LIJWvbB6ev3nR35GbGIsvln7jRbqRGi6ou4VOHTmELpO7qo9vhpHNoZ430k5k3ZGL42vLg27oGqlqtq77eomV+swkUnpSVixdwUOnj6oBTTxUpPi6+2LiOAIvR5VOQq7T+zW6z9t/gnbY7frNpKrbXT30Xp/lcAqaFWzlZqlCeGVwiFi2/cPfI8fN/yIJbuWID41XteTL0tx2VZ/6w+v116DxjxkKf1alqpBVfH2rW9j/UvrsfmVzbj/y/sxfdn0gipj+4/F9KXTdbhMsUHEORbnIBASElLoZ0Cskp+J0NBQ5zCQVpAACZAACZAACZAACZAACZRIgEJciYhYgQRIgARIoEwEGJqyTLhYmQRI4NIJ5OXlQUJShoWFoWbNmpfeEVs6LQHxMlv57EqMu3GcDtnY6+1eWgR7oOcDkNCTM/+eiS9GfYEtR7dg9vrZuKrhVQVzefjrh3XdOzrdgZCAEL1fBLN1L65Dt8bdcPWbV2Pp7qVaEAsPDsfKfSsL2horoYGhOoyjbJ9OPY1qlath6JVDCz6hQUWLIeJZJmEeezTtUVB/cLvBWuwy+jeWIrwNeG+A9u4bED3A2K2XhhBXVH8pmSk4mXxS58cr1LCIjYYRDdGxfscC8VKq9WneRwuSX635CiI2GqJiEV1wdzkS8PX1RdOmTfWI8rPgbcpBi9ADqF8nshyt4FAkQAIkQAIkQAIkQAIkQAKXQ4BC3OXQY1sSIAESIIGLCeRnK484v4v3cw8JkAAJ2JlATEwMcnJy0KxZMzv3zO6ciYDkaXvh+hew9sW1SExPRJsJbXAq+RQOnT6Efaf2oVn1ZpDcchPmT8D1ra/Xpp9MOYkPl3+Ink17auFLQjNKfjgJV5mQloB3b3tXh7j8Y9cf2pvty9FfamFPcrhZFsmpZpRB7Qbh3d/f1fnYZN+q/au0t5usG3m7ZD03L1cWSjDxxo1tbsRTs5/S3nYy/uerPi84LttG+W7td0jPSoeEx4xLjiuoI+E3jbCbRfUnnnuVAytj0fZFurvkc8mF8upJ2EzLIoLisj3LIB56luXZ657V4TYl1CeLcxGIiopC586dda6sVq2iERmQBO+4hc5lJK0hARIgARIgARIgARIgARIokoD3eFWKPMoDJOCMBLITgcTNMEV2Y/g7Zzw/tIkEzq5XMbqUh0BIY7IgARIgAYcSEPEjMjISwcHBDh2HnTsHAQn5OLrHaKRlpuHFn17U3mkSUrF+RH00iGwAyR/Xq2kvbWwl/0pYumcpPl/5eYGnmISUbFK9ifasE0+2o2eP6nxqErZRPO/ES27snLHYcHiDzkEnIt3aQ2sxqvsotKndBvXD62P5nuX41/f/0kKWeI2JOLdk9xLM+HMGoqpEoVWtVpiyaAok79xNbW9CxwYd8frC1zF54WQt4Ek+ueSMZEz9Y6rOC9e5UWedi03slX3rDq2D5MhbsHWBnkf/6P6Ytmya9uxrXbs1rqx35UX9SVhLGfvxbx/HtthtWpzcH79f85Fwm+//8T5i4mM0t7mb5uKLVV/g6qZX473h7+mwn8bZbV6jOX5Y/wPeuOUNzdLYz6VzEPDx8UGlSpUQGKR+3wVEAaeWAP7har26cxhIK0iABEiABEiABEiABEiABIoisNakHmBceM2zqGrcTwLORCDtEPIPzoSpxVj1qnGQM1lGW0iABITAgf8CQXWBqH7kQQIkQAIkQAIOISDeaHd/djfOpp3FB3d9gGEdhiEnLwc+Xj6FxsvKzYKft5/ya1P/zv/ZI+H9xLNOBDhbJS0rTQtxIrxJKEvrIh5lYZXCSi1WydhnUs+UGO4xOzcbPt4+Or+b5VwycjL0HERolFJUf9Je5hvgG6D7MOpb21/UdtK5JJ03TrwPWVyAwIlf1cuJW4EmjwA+fBnBBc4YTSQBEiABEiABEiABEvBcAv9haErPPfmcOQmQAAk4hoCE2lLhuFhIgARIgARIwFEEujbqii2vbMGwjsMwfMZwDP94uPY0sx5PRDgpJvVPhCn5yHpRIpzUreRXSXvI2RLh5Lh4wpVF5JLxSpNzTcaTulIsBcUAn4BC4xXVn7QX2yWEZVns23liJ+ZsnKM97R7q9ZAen18uQCCqr3opMRA4/osLGEsTSeDSCZw7dw5JSUmX3gFbkgAJkAAJkAAJkIATEKAQ5wQngSaQAAmQgFsRyFe5cc6/te9W8+JkSIAESIAEnIqAiE4f3PkBFj+1GCtjViL6lWgs3M68WWU9SRIOU0JnSrjK4gTKsvbL+g4mYFLemrUHASl7lWfcFgcPxu5JoOIIxMXFQXLCspAACZAACZAACZCAKxOgEOfKZ4+2kwAJkIBTEhCPOF5enPLU0CgSIAEScEMC/Vr2w/YJ29GneR/c8P4NuH/W/UjNTHXDmTpmSvd0uQfrX1qPG1rf4JgB2KvjCATVA8KuAk4sAnJSHDcOeyaBCiTg7++PzMzMCrSAQ5MACZAACZAACZDA5RPgk9LLZ8geSIAESIAELAlIaErw8mKJhOskQAIkQAKOJRAaGIqvRn+FHx78AfM2zUObCW3w176/HDsoeycBZyAQdY2KZaryZscyRKUznA7aYH8Cfn5+yMnJKcjzaf8R2CMJkAAJkAAJkAAJOJ4An5Q6njFHIAESIAHPIsAccZ51vjlbEignAikp9PYoJ9QuPczQK4dq77jomtHo9XYvjPlhDDJz6Enh0ieVxhdPQEJU1lIhKlP3qRCVW4uvy6Mk4IIExCMuPz8fWVlZLmg9TSYBEiABEiABEiABMwEKcfxJIAESIAESsC8B5oizL0/2RgIkgOTkZGzatAkJCQmkQQIlEqgeUh3zH52PT+7+BJ/89Qnav9YeG49sLLEdK5CAyxIIqqtCVHYC4lSIytw0l50GDScBWwREiJPC8JS26HAfCZAACZAACZCAqxCgEOcqZ4p2kgAJkICrENAecby8uMrpop0k4OwEcnNzsWvXLoSFhemPs9tL+5yHu6qhywAAQABJREFUwKhuo7B1/FZUC6mGzpM749X/vYqcvBznMZCWkIA9CUT1VZHBlWBxfIE9e2VfJFDhBCQ0pclkohBX4WeCBpAACZAACZAACVwOAT4pvRx6bEsCJEACJHAxAfWHMpB/8X7uIQESIIFLIBATE4O8vDw0a9bsElqziacTqBdWD0vHLMWbt7yJyQsno+sbXbE7brenY+H83ZGADlE5EPlJO4HkHe44Q87Jgwn4+voyNKUHn39OnQRIgARIgATcgQCFOHc4i5wDCZAACTgVASXEqTwOLCRAAiRwuQROnz6NuLg4NG3aFPIQjoUELoWACSY82fdJbBq3STeXUJXvL3lfvTLCa9Wl8GQbJyZQqQFMYR2UV9xCFaIy3YkNpWkkUDYC1apVgxGismwtWZsESIAESIAESIAEnIMAhTjnOA+0ggRIgATciAA94tzoZHIqJFBhBLKysrB3717UrFkT4eHhFWYHB3YfAs2jmmPVc6vw3HXP4Zkfn0Gft/vgcMJh95kgZ0ICQiDqWhWi0gc48St5kIDbEGjUqBEiIiLcZj6cCAmQAAmQAAmQgOcRoBDneeecMyYBEiABxxKQ0JT0iHMsY/ZOAh5AYM+ePdoLTh6+sZCAvQj4KIFi3I3jsOb5NTiVcgptxrfB56s+t1f37IcEKp6A5ImreRPyE7cBKXsq3h5aQAIkQAIkQAIkQAIkQAIkAApx/CEgARIgARKwMwF6xNkZKLsjAY8kUKlSJTRv3hxeXrxd9cgfAAdPun3d9tj48kbc1+M+3PvFvRg4bSBOppx08KjsngTKiUBwY5iqtlMhKhcAeZnlNCiHIQESIAESIAESIAESIAESKIoAn2wURYb7SYAESIAELo2AeMQx786lsWMrEiCBAgINGzZESEhIwTZXSMDeBPx9/PH2rW9j2Zhl2H58O6JficacjXPsPQz7I4GKIRDVX92O5QFxv1XM+ByVBEiABEiABEiABEiABEiggACFuAIUXCEBEiABErAPAYamtA9H9kICJEACJFAeBK5ucjW2vrIVN19xM4Z+OBR3fXoXEs8llsfQHIMEHEfAO1CFqLwOOLsRSDvkuHHYMwmQAAmQAAmQAAmQAAmQQIkEKMSViIgVSIAESIAEykaAHnFl48XaJEACJEACFU0g2D8YH4/4GAueWIClu5dq77jfdtKTqKLPC8e/TAKVWwEhzVSIyl+Ud1zOZXbG5iRAAiRAAiRAAiRAAiRAApdKgELcpZJjOxIgARIgAdsEvHz4sMc2Ge4lARIgARJwcgLXR1+P7RO2o3vj7ug/tT8e/vphpGWlObnVNI8EiiFQ8wYgR/0Mn1peTCUeIgESIAESIAESIAESIAEScCQBCnGOpMu+SYAESMATCZh8gbxsT5w550wCJEACJOAGBMKCwvDd/d/h2/u/xex1s9FuQjus2r/KDWbGKXgkAR+VazPqWuC0+hnOOOGRCDhp9yAQHx+P9PR095gMZ0ECJEACJEACJOBxBCjEedwp54RJgARIwMEE6BHnYMDsngTcj0BGRob7TYozcnkCwzsO195xTao3QY83e+C5uc8hKzfL5efFCXgggapXAkF1gdj5avJ5HgiAU3YHAgcPHsSZM2fcYSqcAwmQAAmQAAmQgAcSoBDngSedUyYBEiABhxLQHnHMQ+JQxuycBNyIgLzhvm7dOlCMc6OT6kZTqVGlBhY+vhAf3vkhpi+bjg4TO2DLsS1uNENOxWMI1LoJyDytPONWe8yUOVH3IuDn54fMzEz3mhRnQwIkQAIkQAIk4DEEKMR5zKnmREmABEignAhojziGpiwn2hyGBFyaQFZWFvbt24eoqCgEBAS49FxovHsTuP/q+7HllS0IDQpFp0md8PrC15Gbn+vek+bs3IuAXzgQebU5V1z2WfeaG2fjEQT8/f0h9w0sJEACJEACJEACJOCKBCjEueJZo80kQAIk4MwE6BHnzGeHtpGAUxHYvXs3fH190ahRI6eyi8aQgC0CDSMaYvmY5Zh08yS8+r9X0X1Kd+w7tc9WVe4jAeckENkN8KsKHF/gnPbRKhIohgA94oqBw0MkQAIkQAIkQAJOT4BCnNOfIhpIAiRAAi5GQDzi8ugR52JnjeaSQLkTiI2NRWJiIlq0aAEvL96SlvsJ4ICXRMDL5IUx/cZgw0sbkJWThXavttMhK/ORf0n9sREJlC8B9bu21kAgdT+QtK18h+ZoJHCZBOgRd5kA2ZwESIAESIAESKBCCfCpR4Xi5+AkQAIk4IYExCMun0KcG55ZTokE7EYgPT0dBw4cQP369REcHGy3ftkRCZQXgVY1W2HN82vwr2v/hSdnP4l+U/vh6Nmj5TU8xyGBSycQWBuo2gE4sVi9OJVx6f2wJQmUMwHxiGNoynKGzuFIgARIgARIgATsRoBCnN1QsiMSIAESIAFNwFvlecrlgx3+NJAACdgmkJ+fj127diEkJAR169a1XYl7ScAFCPh6++LVQa9i1XOrcOzsMbQe3xqz1sxyActposcTiLoGMJmAuD88HgUBuA4B8YjLy8tDdjZf+HOds0ZLSYAESIAESIAEDAIqfhgLCZAACZAACdiRAIU4O8J07a727t2LnJwc154Erbc7AXmIJm+0iyfczp077d6/p3VYuXJl1K6tPFxYKoxAx/odsfHljXh+7vO457N7MG/TPMwYMQORwZHlZlNubq5+OC0PqI2PiN7y/834WG5br8u2hIiVj0kJNMa69bZxzMfHR+d3lByP4qXi7e1dbnPlQHYg4KVemorqDxybA4S2BYLq2KFT1+oiLi4OCQkJrmW0h1srv8sCAwOxZ88ehrR2kZ8FuTY0btyY1wgXOV80kwRIgARIwLEEKMQ5li97JwESIAHPI0AhzvPOeREzPn36NAICAvSniCrc7YEE5MF+lSpVPHDm9p9yamoq4uPjtfDSoEED+w/AHktNINA3EO8New+D2g3CyM9HIvqVaC3GDW43uNg+RAA7d+4cJFyr5TIjIwOFP+eUgJ2hz3VWVuZ5sS1HLc2fvLyKzVEnzlW+viLOmT8izvn6ykeEOrkOBOprgXi0GNcFeaAeFBSkP8a6/H5gKScCVaKBxM3A8f8BjR9Qg3oWe/n9mZSUxOtROf242WMY+f3AcNb2IFk+fchLIXKPIv/X2rVrRzGufLBzFBIgARIgAScmQCHOiU8OTSMBEiABlySghLj8vCyYkKfM96yHOi55vhxotHhOREVFoWbNmg4chV2TgOcSiImJwdmzZ3H0qDk3GcW4iv9Z6N2sN7aO34rHvn4MN0+/Gbe1uw0vdH8BKSkp+mFkWlqaWiYhLS1VLdOQcS4L1hKar49JiVVe6iNLmD/++QipJGKX+ePnZzq/LktvSBs5dmG/ugJ7mZR3m3i6mddlKYKZefvCuuyTojRB/VFOJ8qLznJdPOtkW13ZleAn6+LsLNHhsrLy9VLpgealWsnKEnHw3PltIDMzX83ThMSzJrVuUgKj2s7IQ2aW6siq+Pv7qgftQahUKVgtq6hlJf3gXULZivenLOUjwh2LHQjUuB6I+QA48w8Q3sUOHbpWFyIEt2zZ0rWMprUk4CIEROjevHmzjoKwZcsWtG3blmKci5w7mkkCJEACJOAYAhTiHMOVvZIACZCA5xKQcEdSJE+cd5B5nd8kQAIkQAIOISCeR5JrT0J1SaEY5xDMF3Uq3msS1k6EUHnYmJiYqJZn1VK2k9EwqyGGhw9HwqEE/JLwsxKTvJSAZFLCUj7CqwJ1VTTR4GDZ9kVQoEkJSyo6YJBJfdSl065RHs+rbBfN4OIdIsgZQl3ho5Z9WK5LLevtwi2L3vLWgp7CqLwB8/VH1tPUunhPaKEyLQ4n40zYnwokJ+ciJ/eCZOnjI561ldUnFKGhYdqrKTRU1kMRFhamxbuix+aRAgJ+YUBkD+DUcqBKK8CncsEhrpAACZCAPQhER0djx44doBhnD5rsgwRIgARIwJUJUIhz5bNH20mABEjAGQlIaEopFOLMHPhNAiRAAg4mUL16dT0CxTj7gs7MzMSZM2cgYXbNy3glvJ1RAtxZ5dml3MFUERmqcmUfJQQpHaNyHpo1MSkxyITKIb5KeGujjpnFNV2ZX4UIiGeecnhTH6FYkqDnrbzoRJDLV96F+UhWn6QkCS2YgoQzR3HwgEmLdbnnQ3SKl2DVqqHqE47w8AhERJg/4eHhOhRmIUM8fSOiuwpRuVWFqPxVKcTDPJ0G508CJGBnAhKOWEJTinccxTg7w2V3JEACJEACLkWAQpxLnS4aSwIkQAIuQMBSiHMBc2kiCZAACbgDAYpxl34WJY/NqVOnLD5xav2k8sxSLlqqqAiPStDxUWJOPurXBa5oa0JYVV+1zyy6iaBkLnZ1ZTM65fI8AXOYThOqVbMt2uXneysxDkoszUfC2Ty1TFLLRMTsO4C1/1zwqAsM9FN9VFefKERGRqplNcj/H3lY7JHFpH5ua96A/INfwpS6T7lqNvFIDJw0CZCA4whQjHMcW/ZMAiRAAiTgOgQoxLnOuaKlJEACJOAaBLzP523JTXcNe2klCZAACbgJAYpxJZ/IDOVWFRsbi7i4OPU5gRMnYpVHVaLO0+bjbVLCjLf65KNhJ7Ue4au8qZToFia51krumzUqloCcI+2ZWMWE+vWtRVFv5T0H5d2Yh3j5xB/HieMnsHXLhVx1VaoEo0aNWiq3aQ2d37RWrVqeE+KyUkOYQqOVV9xCoMkjykGRjwkq9qeZo5OA+xGgGOd+55QzIgESIAESKBsB3mGXjRdrkwAJkAAJlETAyx8mL18gRyV1YSEBEiABEihXAhTjLuDOy8tTQtsJHDt2TItvsbFHVFhJpcaoEhLsrcQWE1o2h1r6Iqq6WXC70Jpr7kbALNJ5oVEjy5mZveji4vIQdzJDfWKwZfN+LE/M0ZVCQoJQq1Yd9amN2rXNHx8fN/0TOmoAsG8aEL8CqNbHEhLXSYAESMAuBCjG2QUjOyEBEiABEnBRAm76V4SLng2aTQIkQALuQsAnmEKcu5zLy5hHfn7+ZbRmUxIggdIQSE9Px86dOy+qGhwcjCNHjihPLvEOqn/RcXfcISEmZc6HDx/G0aOHtfiWnZ2LwABvJaSYEN0yH7Vq+qJmTZPydKKLmzv+DFzKnCpXljx/Xmja9ELrjAxvHD+eh+MnshB7PEaFtozBkiW5KkypCTVqVkfdug3Up67+v+U2IS3l3q16byDudyC0LeAXfgEI10iABEjgEglI/lqvCzGcdS+VVILQxMREbNiwAR07dtT3KpfYPZuRAAmQAAmQgMsQoBDnMqeKhpIACZCACxGgEOdCJ4umkgAJuCqBxo0bQ7y+cnLM3juW8xBxQIQpedDlrkXmfvToURw8eFB9YhB77ARy1b7wMB8lkuSjTbQX6tT2VrndKLq568+Ao+Yl6eIaNvRSnwsjJCX54OixPCX2xuPggdNYs3q1Plg9KhINGjRWdRtqYc6lPebCOqkke5tViMoFQP27L0yeayRAAiRQRgJVlBtys2bNlCd6wkUtvb29ERISokIGJ+l7GF9fFU2FhQRIgARIgATcnACFODc/wZweCZAACVQIAQpxFYLd2QYVTxyW0hEQIcWlH96Wbpqs5QACTS3deKz6j4mJQVpamtVe195MSUnBvn37EBOzDwcO7EdmZjaqhnorIQTo0N4L9ev5qId7/N3j2mfZOa03QltGt/LSBorX3OHDeTh0OAEH9q/DaiXM+fh4oV69emjcuCmaNGmicgy6mleZ+r9T8wbgwKdA0naVdE/ljWPxeAK8R/H4H4FLBhAVFaVzbtrqQES4zZuV8M9CAiRAAiRAAh5CgEKch5xoTpMESIAEypWArwpvlBFfrkNyMBJwRgLyFnCvXr1UKLyaaNGiBZYtW4ZWrVrpED07duzAI488grNnz2LdunWYPXu2XaeQm5uLiRMn4uuvv9YPhseMGYP+/fvrMU6ePIl33nlHPSxurASNGLz00ksqNJuKz3a+/Pnnn7rt77+rEGXnS1ZWFl555RX9YFnm1aFDBwwZMsQ4fNFS6n/yySc6VOCUKVMKjpc0dkHF8ytl7WfUqFHYvXs32rRpoz2lhIOIVVu2bNE5ngzOtuYoQ77++uuoWrUq4uLi0K9fP3Tr1s3aJL29aNEirF+/HvLGt3hmPfHEEwX1yrOPgkHdeCU+Pl6f0z17duJ4bBx8fb2U8GZC3z4mNGrop84XhTc3Pv1OOzXxmmvWzEt/xMjUVC8cOJiPmP1H8NeKw1i8eLHyxqyK5s1bqU9zFR61ltPOpZBhgbWBqu1ViMrFKpliE0Dl/mVxXwIlXTPfeOMNtG7dGqdPn4a9w7D+8ssvmDp1qg4jPHLkSIwdO7YghGFx19HY2FhMmjQJAwcOxIABKrfh+fLjjz9izZo12jNVvKWlD/G8Kqpc7n2A0W9Z+vnuu+8g90RyTygvYIkQ1adPH/2Cidi8YMEC1KlTRzOxNcfi7j0Me2RZ3L1WefZhaRPXSYAESIAESMDTCVCI8/SfAM6fBEiABBxBQHvEHXREz+yTBMqVgHg4REdH6/A5ZRnYaJeamoru3bvjgw8+0M39/f31g6Y77rgDGzduxPz58/H0009j+PDhZem+VHU/+ugj/TBnxYoVeOutt3DXXXfh2LFjEBtEQBORrnfv3pAHYffccw/mzZun+5U6hw4dgjxYsizff/89JB/Z5MmTIeJWA+WC1L59e/3Ay7KesS5i2D///KPrGvtkWdzYlvWM9bL2I6EYly9fDj8/P4wYMUI9HE/V/MXmoUOH6m6LmuN7772nQx2+8MILeq7t2rWD8JM3ui3L3r178fjjj0PEVAmnJON88803kPNann1Y2uRu6yL2Ct/t27fg1KkzqBzirQQPE3r18FU/e17q4aq7zZjzcXUCknewTWv5eEFSpB47lo89e5Oxe9carFy5Uon2wepFjDb6mlKjRo3/Z+884KOqlj8+KXRCCU06gjRBUbGAFQVUsGFDnw3Fgr2L7T3/tudTnw2xICJg91mwoShSREUUUQGVovTeS+glyX++J57kZtndFFI2yczns7nt3FN+9+6eyfzOzMT2cOt1E0mZJbJqvMg+WURHbHe67PWOORldAj0jLxK8L6c5s1mzZm6xUEGTcDNnztS8i2Nl+PDhbqHMueeeK8y5EGvR5tFt27Y5Xeajjz7KXFzE2FNSUuSOO+5wC3A4vuGGG1w9t912G4d7yN7qAb7CvNYDifjUU085/Qsd8PXXX3d50tAl7rrrLsHrO9IYo+kevj9+G0nXKuo6fH9sawgYAoaAIWAIGAK6vs1AMAQMAUPAEDAEChwBC01Z4JCWxQp37Njhhk3omlDhGsTK9u3bMy+xj/eUF/JjQcLwwWMpXS2j7Pt7MHQEhTKrVq1y5Ti/aNEi6d27t4a+y+iHL7t8+fJs7XA+2J/gfXiZYVgJJ5BYGEooU7du3WxFGBsSbJt9xhAqGNTCCR4YrHSHRHrggQdciEJWXi9cuFBmzJjhjEDcd8oppwiro30Iw0aNGsnhh2ueoBCBiDvssMPcWVaYd+zYUT7++OOQUlmHeKThcRcMUZpT21l3Z+3ltR689iDhQoU+gwMSaYyQaWeffbYrU7lyZUc0jhkzxh2DvX93MJ7h6ehzmvTq1UtY5Y4Udh2ukVL6h3f8559/lldeGSwDBw6UKT9NkObNNsjll5aTW25KlJ4nJ+g7ZSRcKX38pWpYceqk2bixem12TZTrrkmQa/uVl4MO3CZ//TlZBg8eLM8//6xMnDjRzUkxOfCESkrAKRm3drJGOFgRk10s7k4RrhG9gd8tPzf4Pvm528+rnGcOgWTx4nUS9BKvuzCfc4wE5xx/DzoK+gHX2OJF9ttvv/nLbgshhad9UIL9Cb0vpzmTORyvcsbqJZyOQp98O74c20g6Cl7neMM1adJETjvtNKeL+Pk22jxaqVIlOeKII/YI+4o+gr7g5cgjj8xcYOTPBbf50QOC9/v9vNbTvXv3TP3L1+G3N998s9SpU0cijTGa7kEdXq+NpmsVRR1+PLY1BAwBQ8AQMAQMgewIGBGXHQ87MgQMAUPAECgIBMpVl/RUJUjSshMYBVG11VH6EcAIdf3110unTp3c6ma2GFRmz57tCCRWfhNmsWvXro7IgqgjxCMhGCG98PzC+LV27Vo55phjnBcURi6IOa7hrYZ07txZ8BpDWFHOCmxCiUGqIHhVsdL5+eefl+nTp7vQeHhB0Q9CPGL8gtAK7U/wPkg5jEyRBAMOHnE9evRwRcaNG+cS2w8YMECuvfZaRxgNGzbMhTE69dRTHbHlk95T9pZbbnEhEc8777w9jF3g46VKlSquLsJJEgazXr16/pILA1WjRg2ZPFkNrlEEww4kpBc8BUeNGuUPc7XNb9uhlUerp0OHDqHFM4+DRrrMk3/v8H7wnIPYsP/999+7EngCQloitB/0kqMc71VR1OE6UMr+LFu2TD766EMNl/pf+Wr051Kn9iq59OIM8u2kExP13bV/WUrZIy9zw6lTR705j0uUa69OkKuvLC8tW6TID5PGy9PqGfPOO2/J3LlzYw+TGgeLVNYwlcs+i72+FXOPIIrwamRxBzpD8+bNnQ4CCYYnFqEG0UcIc4yOgn5BmEH0lOOOO86FI4TYuu+++xyhRBhB5O23385cvBOccyhL2EYW00Ba4SmOx/Cvv/4qkFcslKEMxBzz2L333uvCT4frD6Ebg/flNGe+8cYbLqwqxBk6EYtVWOQDgYcecMkll8gHH3wgV199tSORRo4c6cYCaYhuxjgI80y7QcEjP7hQhzDP6Dk5zaPBOoL76CjMJV4IA868jMdfbiW/bYfWH62eaHoIegVEXCSJpHtQHk83FnYRyjmajlTYdUTqu503BAwBQ8AQMAQMAfOIs3fAEDAEDAFDoDAQKF8jo9aduf/ntzC6YXWWTASqVq3qiDeMJxhwMDbhMfbSSy/J/vvv74gSVnuTb42QPoQi4vzll1/uwv1gKPrXv/7liBJCMvrwgXhJYTTC+INgECOUIIKhCTKKEIOQbcgZZ5zhtqxQxnACwUZODzyhIAdZfR2uP6H3uUoi/ElOTnZeV34VOcY79sklRDhLxv/ggw86so18bRhpvDELQ+Ddd9/tjHsYYMiNEknIOcLY8AqDQKxdu3a2ohxjvIsmhHXEwOZXxWP0wnCWF8lv26FtFFQ9wXrBEOyD2ARx6devX2aI0dD2KUf+HMLPFXYdwT6X5H28J37//XcZMuQll0tw7ZoZcmrPeLn91nJy+qmJmtfQyLeS/Hyt75ERqFcvTk7snii33pwo552bKGmp8+VNnYOee26AM6DjaRUzUl8XH2xbKrL+15jpUix0hDCK/OYTRpEFKeRRYz6GCCGvKEQZeghhCFnkQhhFcrFCVuFpD5nFXMp9kHXMpwgec95zOzjnUAcLf1hgwwIivLHRSwgbyUIe6qQOdCMWB11xxRXy2muvhe0P/QvelxOe1O2JQhYPQTqy2Il+kicVPczraOgrkHLIc88950hJiEkWPkFERhLGje527LHHOkIp2jwaqQ6eCXqMx5ItOdhYiJRbyUkPKOp6QtuLpHtAQBKB4Ntvv3VEXmg56vH6TOg1r78UVB2hfbZjQ8AQMAQMAUPAEMhCwHLEZWFhe4aAIWAIGAIFhUC5v4m4XUrEVczyvCmo6q2e0o8ApBnGAYwoCEYrSCnyakD+tGzZ0q2krlWrliPE8AjzApkFSUVZjFYYYSCiQsMHsVraC/VjzILkevzxx/1pt/UrtjGgYVTD6PTXX385sowCof3xoTT9fdkqC3Pgx+gvkYfFe2WRh436fW4WVuDjlUb4PoxM5C9DWP2OYS2c4EEHaQkpiUA4BsNlcY7V2+ATTcizwr0XXnihy+PCynzIPcYLJl5YHY8xMpxEaxuDnicZMeph/Isk0eqJdE9O5z2pGMQGT0qPC+8aH4T2ffgwjsGPd5bnhRRmHa6BEvwH4zPeGBMnfiMpGzepMTlBTutZXt/5uBI8Kuu6IZB3BOL0lW/VKl4/or+jCTL5p00ydswXmp9znIbeO9KFCCanZ7EKOlwtDVW8UkP0VmsjQshKk8ywxD7X35lnnunILxb+MD80bdrU6R7oHyzaad26dSZq6Ch4/ZMjDTIN0oyFRhBkzKd+ngnOOQcffLDL3Up0ALz08W734nUN5h8841iUM3/+fOcZRZnQ/oTe548jbb2O4tsJ6ijMmxCJ3kMcPAh1jUA+eu+vAw44QBhDJEHvGjJkiPPQz2kujlQHGBN2EUIUfQhiifYhLQkdDXGKgCGhwcNJtLbzoutEqydcu7k9F0n3QGeKj493i8Soi3JBPYRzXs8r7Dpoy8QQMAQMAUPAEDAEwiNgS03D42JnDQFDwBAwBPYGgbhEiSNPnHnE7Q2Kdm8AAfJlBImzwCVnfMCg5QVjjDcYsSXEI0YujEM+tKAv67es1mbFOavYyYPm82xw3dfFqvc777zTedHhCZeT+PtyKhftujeABcvgSYRBiRXjeKn5D95+oQKRxKp0VqJjpEHw6iPEVFCoLxK+vhw501jZTugsjI6E/rzyyivdZfrpP9HGHa1t+ufrwHMvmkSrJ9p90a5hQMR4FsSGMYZ71qHtgx85dBo3blykdUQbT6xd472dNm2a5n57xoWfbNd2i9x8I95vCcVOwq1Zs0XDu82JCNmuXakyduwcueXWkfL557OylXvq6W/lhRczwt1mu1BMBzNnrpInnvxGvvrqrxx7kJKy3fX96ms+lDvvGiXr1oXPN5ljRQVYYN68ddL38vfVO2bP3KAF2EzYqqI957A3FOBJ/emR7t3wkisnR3XeLZN/nCADBjzlQuMWu4dc3eN1ItT5Y+XYAhxx6aqKhRhJSUmZizGCo2NuC+ooLCTinJ8r8Xz78MMPZcSIES6kZfBevw+ZREhByDq8xghN7cXXQ0hCPPTI8co2J/H35VQup+v0zQt1stiCHHJ4uPnw4OgphPBEbwkVPPfwZvNhvPMyF4fWRdhwFmI99NBDzoMQL0QEncLrF14XCr2X45za9nWwjYZfTvWEazs35yLpHvQnKKHluOb1vNBrXn8pjDqCfbJ9Q8AQMAQMAUPAELDQlPYOGAKGgCFgCBQWAoSnxCPOxBDIJwJB4yMeXRhqvPjwiByTU4TrXnwOFX/cp08fFzIQQ1mQ4MErx+dbGzx4sLRp08bVwyp0CDnKI9u3a75DFTzyWEVNHXilBfsQ3A+9z92sf1iNjHEKciwonOPjBcLCC2WDdfvzhNckBNPQoUPdvYTxZCV8ULiPvDSQZxhY8OCCRCNXCwZDxojMmzfPebgxfi/BPvhzfgsel156qTz77LNu1TXkFd6C/kPdXkLridY22Po68FAMSl7qCd4HoRrO8EeZ0Dp5rhhEv9YQpF7wbuD9Qch348N3XnPNNc4b0dfx448/ulw4RVGH71tJ2uK9OWjQ8/LZyI+lfbttctMNidL1hESpWjU2vOBeHjJZbu8fOQ/Wb7+tkHff+02eeXaiLFu+KRv0Q4dNkddej42wfXPnrpWXBv8od9w5SpYszZnI6nvF+9Ju/3rywP3d5PU3fpVnBkzMNrbiOPjll6Uy7NWfNYRu9sUCRdGXaM+5KNqnDaadzp0S3HfkmKPS5PuJ4xx5zW9RsUm8euXtc6KGp/xFw1QuK7ZuxGLDXk8hFxnzMgtWmBeC8zY6Cgt9tm7NILoJDUh4RwgRhAUczI1PPPGEI678OINzDl796Ct4+hMSkrxwCPqGXziE1xdtQGixoMTrFaH9Cb3PVfT3n3Bzph+j3wbLs88c68fr50TmQsZNHlsWtHCdfLe+T74OPNgIqciCF3SkCRMmOG//aHOxv9e36Y+D2/vvv9+FIvehwtEfvX5x0EEHZRb1/fUnos3hedF1otXj22Lrn12oXujLhI4xku5BecqivzCmaLpWYdfh+25bQ8AQMAQMAUPAENgTgQRVUu7f87SdMQRiGAEM+xumSlydo5RKzlqBF8M9tq4ZAmUTgS3zRHZv07h9e3rplE1Ayt6oWQ1NCJwgMZNbFMiFglEJYwZhliCRyAWHMfLpp592hhrytBGOhxXXEEysBp8zZ44rQ94VT4gRRom+YITx4YLoB95xrIw+4ogjXEgkwkcRRgpDESEXWeUNqffqq6+6UJiM45FHHnGEDDncyDFHSCb6CdHg+xN6H0YxiDKMbBCG5ELB+6xBgwbOWDZgwACByDnuuONcPxkfZCDEFGQX9zBGDDYY4TC0YWQhFBThrchvN3fuXGfw8mNmfIz3sccecx9Wh0MkslKe/DFdunRxuWkw3IwePdrlsmEsCOGc8KKbOHGiMxa2aNHCYYmhCGMg1wgjRT3RhNX79J++MRZwYAV5tLbD1ZffeshTgyfkokWLXNuExvISaYyMiXcJAyjhP/GUBHuEsfCs+vbt654d7wleDIR/gszs37+/G19h1+HHkJsthluMmz5sWG7uKcgyvLOffvqxesB9JS2a75J/nJcobVrH63crNgg4xpqamiYXXfKu/PnXWjnumH3VoyV5Dwjq168mTZvUkEEv/Sinn9ZW3+eGmWX6XNJRLru0o44puhdn5g2FuJOcXFlD4tWU51/8Qc4+q710OLB+xNYmT14s/e/8Qoa8fLYSohWkzyWHSLdu+ylpX3QBU1av3qw5jearIT4rZ+X+Sgxef21n6dAhct8jDmovL0R7zntZdZ5vj9fH0LhRvBzaMV5/+3cq8TJDFiycp79lzQQP8SIXQlRuXSCSogs4kgnrFzvf4fxisbe/jxBi6BAsaiGsIgtfmOOYw8eOHevCIrLAhTmUciz4IWzziy++KE8++WRm2GP6X6dOHafPoEd4Cc455C7z4aEXL14sl112mdM/IMGY33kn0CFomzkTco/5Gn0BkjDYH+oP3kcUACTcnMk8x9ioiz4ScpO+o1PhfQbxg46EftShQwcljQc60rF79+5OR0BnQvdg4dNZZ50lzZo1c23xhygFeMlRP2PgA0lJ5IFo8yhzGmEvwZPQrYSf9PoL99Meeh0hKqNJfvSAcPXltx4W9oAleiuCjuLz2UUaI3pjJN2DkOmE3bxUF0qhe3eJoOcVdh3hMIp0jvcQ0pj3FX3fxBAwBAwBQ8AQKOUITI7TFTNZy65L+WhteKUEgS0LJH3+cIlr21/jTFQuJYOyYRgCpRAB8olsnivSol8pHJwNKTcIYPzBaMM//XkVyDdIJBLPQwBFyjkWrBdjCEYwQgKFCkaNYPgkrmMA8Pl3IKQow6dqVQ2rGhAMWaxyR+iLJ7tYHR4ayidwmzOA+fuC5wtyH6KDfuSH7KQfkIK5vRdjEc8B8rMgJC9tR2uvoOoJtgHxG/oeoDLzfvjnT3mw5+Nz+BVFHcE2ctrnmUEUYiAtasEo+MknH0rFCrvkjNPi1egcm4b7ESN+lw8/+kPefGuqnKYk28cfXhIWqhkzVkq7A5+RIYPPksv7ZhiuwxYs5pOzZ6+WNu2ekjde6y0XXnBwxN4MGz5Frr7mI9mx7eGIZQrzAgToyT2HKWHYTq7ul0U+FGabuak7Vp/zunXp8snINFmujoInnniydOzYMTfDKdgyO1aLzBmk8ft6KBmXlaOsYBsputr29vcRfYOFJsyhkFQ5CfMK3vSemAstH6pTBOccdBTaY1GPJ538/UEdhTkKvYSyofX58n4bvM+fK+gtY8Ajjpy/+ZFwc3GkesAGUicYnjxS2dycz0vb0eorqHqCbUTSPYJ6rS8fSUcqzDp82zltybvHgjcIxFAdPad77bohYAgYAoaAIVACERiYPZh0CRyBddkQMAQMAUMgRhEor14FO3+K0c5Zt2IdAYxOGAkgOMKRHOH6H43wC/cPvifhqIvV6hwHz/k2gmRakISJRsJxb/A+X1dBb/fWMyK3JBz9JnxUQUpe2o7WbkHVE2wjlITjGobN4PPnHO9ApPegsOqg3VgX8hd9pyR6584JckKXRF3pHrs9HqShHF8b3ltWrtosI0fOUu+ENdk8tHLq+Sru+2yW9L0sOzHx/fcLZdz4uS5M2OGHNZZDD22onq5VMqtbvHiDjPjwD7nh+s6ay2iVfPzJDPV2qqHk2UHu98gXXLYsRb748k/1QNkoRx3ZVLp23fN7+M038+XrCfP09ytRDjk4Y+ED72s42bx5hyMdP/l0poYyS3ehLClHH7+ftFDJ5lTNVdZSvXbrqTfuXJk2fbmr5qwz27v+cZDbvlN2ypQl8o16vW3fvlt69mitYXAb6CKI3XLhxe/ImLFzpG6dKu67hachHmn89k+YMF+J8PKar7MxVTjZtGmHfD5qlubaWq3eE9XlxO4tdashsP+W3btTtb/zFLs4fe+ayKcjZ8rs2Wvk/PMO1PyNWSTJtm271Itnnvzy61J9L+Pl4osOloYNNUFbjEtycpxcekmCTP4pVb4Y9ZksWDBPzjjjzIi/P4UynAqKY20lTckVV13zpJbhBZG8pwjb3JBwlGVOID9cJAmdS4JzDjoKEkrCcS6oawR1ndD6KBuU4H3B8wW5zxjyS8LRj3DzaKT+4QXGp6AkL21Ha7Og6gm2EUn3CKfDRtKRCrOOYF9t3xAwBAwBQ8AQMASyEMjQ6LKObc8QMAQMAUPAECgYBCrUlvTUHeoyklIw9VktZQYBwkWNGjVK1q9f78IPlZmB20ANgRKOAOT522+/KT9Nnijn9y4n3bvGNgn3++8rJLlmZQ3dmeTCIaap98azA7/P1VPAo2u45jLbr9V/5Z57v8x2z8Dnvpf/PPa13HH7sXKshrs8vddr0rL1k+oBNlTIgfapkmAdD3tObr51pGvvqae/kx9+XCyXXPqePPb4hMy6IMLuf2CMHKzkVdu2daXXWa/Lddd/nHmdnXv/+aXmd/tFbrv1GEc6PfiwkiQqEXg4JZMTpKOG1qxeraILy8k+n/32q6XerlXllts+074scnUcf3wLSUnZ4c7NmrXKnctt3yn8r/tGy2efz5Jrru4kp/RsI4cd8bzcomOGlDv5pNauvoYNq0lrJcoqVSqnhORKOe8fb8sJ3YfIz4qTl2nTlstRx7wo5RIT5LprO6lX0HbZv/3TmptPc5aprF+/TS7W8KIn9hgqw4b/LFdeNULD8S2SFzREZ5cTXtbcWhm5uSAhW7Z+wrV1151ddLFHmtY7SEM/7vJNxfz28MMSpO+l5WTJ4tnyyiuDncdrkXa6znEZqQFWZOQoK9K2Y6gx8rMS8nf48OGZuWZjqHvWFUPAEDAEDAFDwBAwBAyBGETAiLgYfCjWJUPAEDAESgUCSsQ52bGmVAzHBlF0CCQnJ8uwYcN0xf8Clz+k6Fq2lgwBQyC/CBAS7c03X5MVy+fL5ZclqhdS7P+bMfC5SXLtNRlhEU89tY3LAweRs3Hj9hxhwJvq0j4dpbt6ZgUlJWW75l4b5XK04aF23HHNNZdSS+cZN+qzy1x+OUJgXt43w4PugPb7yNBXzpFPP+7jvNk+GPGHqw7S6AollJ5+6lQ5WL3czj3nADmv94HywqAf5IcfMoiyUaNmO+LuySdO0dxC5V1+uCuvODzYnT32y5dPVO+8RkoiVHWeaOzzSUqqIPsr2RcqkIBByU3fKU/IT7D8v/u6OeKLnG+nn95Wvpu4QHN1VpTDtE2kTZu60qVLc/VkqSTkh7vvn13def9n587dcv4Fb8uZvdppjqn26n1U1ZGOeNBBuEHe1axZSYYNPcfdsmx5irw6/Fx55unT5OWXztJQjpsE70QEr8PlyzcpqVnHecOddmpbWbhog0DIliSpXz9Orrxcww/Kep0rh7gQw0XW//jyGpryJM3X/avItiVF1mysNXTFFVe4MJMPP/ywoLOYGAKGgCFgCBgChoAhYAgYAjkhEPv/Iec0ArtuCBgChoAhEJsIaMiiuEQNw2VEXGw+H+uVIWAIGAIFiMAHH7wn69YucyRc7drhwyIWYHN7XdWGDdtk6rRlcuyx+7q6CP2G59bmLTtlyCu5D6tcQYmtoCxdmiLbNfQioSS9HNm5qWxQcm/z5p3+lCOnOGjTJitsIkTYIiWGkLffmeY8tSD18ILjs2LlJmnRPFnmzF3ryuB117FjQ83dWNEd8+fwwzIIrkihKTML7sUO3mtIpL5z7d//Ge+84Nj38v67F8qkidf4Q7cN9dyrUCF7HNMvvvhTZmneu05HNMl230kntZKdGkbzlaFT3PmKFcspMaVpaRWfRPWcQ/bfP4NYXKRhQJF/nN9Bfp9+s9Srl6Reebtkwjfz3Pm/5mTg6Q5KyB/SlhKqsmKFzY4AJ39pkUm1diJV9Huz7DNt0tLNFxnu1pAhYAgYAoaAIWAIGAKGQIlGIPt/jiV6KNZ5Q8AQMAQMgZhDAK+4HatjrlvWIUPAEDAEDIGCQ2D8+PGyYP5cR8JVq1Zw9RZmTUOHTXHeUccd/1JmM1u2ZIQoJLTkzTcd5bymMi/mcgdyqr6Guhz91V/yz3tPcHetXLlZiaTGzussWjV42aVreEzkjz9Was60JHn+uTMi3kLIxnPObp/temEScNkaCjkI9p2wnfQ/XN88SeZvz6m/M2ZmhMQkZ1xQjjm6mTuc+XfIzOA1v0+fkL8hdbn36tWrKvf931eaezQx0yuPXHklUcorJBecHy9DhhLGeYT07n1+0Q2jfk+ROS+KrFMiNPmwomvXWjIEDAFDwBAwBAwBQ8AQMARKKALmEVdCH5x12xAwBAyBEoGAI+LKdmhKciYVluxN3Tndm5qaWljdLrX15oRpcOB5KRu8z/YNgVhDYMWKFfLdt99Kzx7xGjYw9j3hwC8tLc3lF5vx+y0yYXy/zM+UyddrSMl2Llzhhx9mhIjMK94QSyM/6eM84u7o/7m8879pzoPtzdfzRpJAIs1WT7Bd6vUVTnbvTpWtW3fJj5MXh7scMUdc2MIFfBIyEXLr05Gzcqw51CMu9IbkZHX9Upn0dzhOf71p0xqaMy5eampIy9zK/Pnr5OCOzzqvwXvuPl5DedbI7a0xW65y5Tg5+0x9V2b9qeRn/t7ZfA0O/a52Z5GV40RSM3Lw5aseu6lIEcit7pHbckXaeWvMEDAEDAFDwBAwBAyBEo6AecSV8Ado3TcEDAFDIKYRqFBHJGV2THTxWzUUT506VW644YYi7c9RRx0ld9xxh5xzTkb+moJofOXKldK/f38Nv5Uo//nPf+T666+XWbNmSb9+/eTSSy+Vp59+Wt599105+uij5d5775WGDRvKzJkz5aabbtJcQwcLOU24Fq5flLv88svlsssukyuvvLIgulvq68Co/9xzz8ljjz0mS5culb59+7rnceCBB8r8+fMFUrNVq1Yybdo0adSokTz66KNywAEHyJo1a9QrIyukXEEDRbs86zfffFMNzk3l9ttv11xVmttHhXfoySeflP3220/mzJkj//znPzW8XZYr04QJE9y9X331VWa3CH32f//3f1KrVi1Zt26d5pU6VHM2nZV5PXSH8i+//LKG2lvksPHXc2rbl/PbvNaTE/7/+9//XNXhxsiFRx55RHNO1RQIphNPPFH4DoeTL774QqZMmaL5rqo7Yofvl5eirMO3WVzbMWNGS7NmCXLgAdlDChZXf3LT7scfz1QyprFUrVphj+I3Xn+UkKftmWcn6u/2AXtcz82JypXLydX9jpAzTt/f5UM7/7wOubktWxlyqm1Rom3QSz/KDdcfmXmNkJpvvT1Vc9t1drnOfvt9pX6fN7lwi5mF8rmTqMQWsn373i0gweutrYbZJJfdvHnrpLmGi/Ty5lu/yllnts8kClNTo3ujHXF4Y3frN9/Ol/53HOer0bxuK2XX7jTp3Dl7yMrMAmF27n9gjBKbaXKq5oZDSqonXOjQGjaM19/jeBkz5ksNx7m/y/0XWqZQjuscq7nipous0HmiYWTPzUJp2yrNEwI//vij0+mYmzZv3uzm5LZt2zo9Et34hBNOkL/++ksWL14sn332mdNZw+mIeWo0F4U//fRTp7OiO6F3otsSJhiJNo9S/t///rfmnTxdTj755MyW3n//ff3d+UHnpGZuLNSRkBB5btpbPcA3nJd63nnnnRzxb9y4sdMnw40xmu7h+8M2mq5VlHUE+2T7hoAhYAgYAoZAWUfAPOLK+htg4zcEDAFDoDAR0BXT6bs362rpbYXZSq7qhigZMGCAM5jn6oYCKvT222+r0e/UHGsbPXp0jmV8gXr16knr1q1dCLO6des6Mo6V8M2bN5cqVarIPffco7mFtkmFChUcCcd9GFzq168vDzzwgJQrV05C++Xbp1zt2rrS3STXCGA06tGjh6SkpLh7NmzYIF9//bUMGjRIeD5JSUnywgsvyDfffCOQShiIfvrpp0Il4egI7WPMoV1IwYsuukh27Njh+giBRp+vuuoqOeaYY6RPnz7uPH+WLFkiCxYsEAxLQYHc3bp1qyP0HnroIbn55ptduWCZ4D7kMMY/6gtKtLaD5fx+XuvJCX/qjTTGZ555xhnvrrnmGrnzzjudYRBCLlT+/PNPufHGG10ZyH0IubfeessVK8o6QvtV1MeQyXPnzpdjjy45/1LgrfXIo+PlzF6a5yqMkDOuUcNqMvH7hTJx4oLMEhs1xxsSzPPG8Y6du4VreKghO/X4xJOH6m9xedm0aYesX7/Necf5kJOukP5JScmob+fOLI+3NWu36Hd0t/ttP6/3gdK4UXW5/Y7P5b9PfKOLKVbJu+9Nl6uu/lAuvugQV82d/TOIqRtu+tTdx6KA/72rxIjKd98tlLVaXyQhl12aYrF6tc7Rf0urVrWlmXqJ4cW3cOF6XVCwSt57/zd39depyzPnz5z6zg3/96+uLnvY8V0HO+/DUaNmy6WXvefCRJJjjrCbyKRJC914p09f7o537MjAY82aDC8rCMk+Fx+iv2PzM/PnUfA7fTYt96slV115uLtv8+Ydrr1seK7JGP+2bRkhR7ds3SnLV2ySzz+fpQshtsgLL/7g7l22LEUgOJFIz9ldjOE/Rx+ZICkbN7lFIEXWzXiNjVlfF3dsmCqyLfvvfJH1wRrKFQJHHHGEI6RYwAWJ9dRTT7k5i0Viv/32m/z3v/91BFzPnj31d2vTHjpirhrJYyEWfo0dO1aGDx8uTzzxhNx///3iddFo8yj6LXP4Rx99lKnT0DQ6GOQhdbFADX2FeiLJ3uoBvt681pMb/CONMZru4fvjt5F0raKuw/fHtoaAIWAIGAKGgCEgUnL+a7anZQgYAoaAIVDyEKhUP6PP2zMMbNEGwApdPoTD4Z9n9tki27dvly1bsgyKePrwj2+orFq1ynkfhRo8+ad33333datDWX0bTsLdG+4c9/LPfmgbnKdfkABBgRzzq3v9+eXLlztCxh/71bH+2G/9+P0xW4iU9evXO4OKr7dFixbSvXt3GTZsmCvK+QsvvNB5Qu3alWGApF8QbN4DK9iv0PYx1Hjx5JI/LsqtJ402bty4R7NcA2/eDS/sQ3R5Yez+vcJAzTPj2N+DoSNUImFOOe6lnlCBqAFz/zzwGitP8p4QYVU2RCih6/CQC9bFWBA/Zvbpb/CYc0i4PmZcyf63TZs2zjtvn332ce3yHWLl+8KFC2XGjBly/PHHuxtOOeUUYXW0/47htXf44RnG7WCNEHGHHXaYO8VYOnbsKB9//HGwSLZ9yD887oI5oHJqO1sFfx/ktZ6c8KfaSGOETDv77LNdy5UrV5ZDDjlEvUzGuGOeh393PvnkE+nSpYsjtbnYq1cv4XuEFHYdrpEY+YNBr2qVBPW4jIuRHkXvxqpVm+WU04bLlJ+XyguDfhBP/vi7INEGqCcc5BlyyaXv6Ts+QyZr+McHHhrrzr362s8CqQS5Qy65CRPmy3Ylz+7952ih/vj4OJ1vasr1N34ih3V6XvY/4Glp3OxRqVnrASEvHTJhwjz58KMZbv+R/4xX78tNjvz69tsFsmnzTnlQ20pIiJMvR/VV4r6m9L9rlKvnoYfHyd13dsnMNXfhBQfLfx/roQb0WVIj+QE5ovMLjgCspeEceV8XLdrzt5N+M8YxY+e49u/7vzHOc40DvqvktcPbrP2Bz2g/xskVlx/miEn6OGfO2lz1HVLyrLPay8svnaXz5Q7powTc+Re87bzXLrrwYNdunTpVpesJLTS/2RTp2n2I1NAQkz/+uEgefDgDZwhFxoUMerGXXKJkXM9Thwn4vzL0J/lcn8HYr67Q39pE/e3a6fCnLLn5Ro6cKZBrEK7IG2/+Kj/rM7/tlmOkaZMactY5byihOULuuP1Y6XhIQ3n0sQnyUYTn7CooAX+SkuKkSZNE4TtZpFJNCe0q+4os+1ybTS/Spou7MfRV5nHmaT83+D75udvPq5znOwnJ5YVjr6N43YX5nXNIcM7x96DXeL3On0N/oC9sg+3563iwU7/XU9AX/fzvy/gtC2zq1KnjFnZ5nYZrXkehbfrlJXTcnA/XR18+uEV3IoJDkyZN5LTTThN0ET/fRptHK1WqJBCLeOcHBX0EfcHLkUceKR9++KE/3GObHz1gj0r0RF7ryQ3+kcYYTfegb16vjaZrFUUd4XCyc4aAIWAIGAKGgCEgkmVpMzQMAUPAEDAEDIGCRiChisSV03B325SIq9I8Yu0YMq6++mrnJURImfHjxztj+IgRI+TMM8+UL7/80hEFL774ogwePNgZAQgH99JLL7nVtFR81113Sbdu3dzqV0Lu4dnl5ZVXXnFhGSGV+Kf/jDOyQijRdui9eJuFnqO+yZMnu5W7nTt3FsLbYTggHCQyZMgQ50mD19kHH3zgVhYT5gePo969e7v28ezBM4pVqhAyzz77rCMqGKcP34cRZOLEiQJhiDGGPkOwQQrg1ccKYkLl0T5EiBfC8V188cXqAbHWGSeWLVvmCDv+4YZYgETx4THxnvP9YhvaPnX+8ssv7pmAPc+A1dNFJYwb/MGBZzpy5EgXKhAcMAbRZ0JssoobXPDuwwsQ0oSxQaDybmDwwusLD0JWTmNUwiuMEIIYoXiOvHd8uIdnkpyc7Ly4HnzwQdcGYZLwboPYhKzifeEY+fXXX11opHPPPdddcyf1T4cOkcPQYSR64403nFcZGFMf/alataoa3Js5Eod+8Y6yMpyxYZDCqzJcHzt16uSb3WPbtWvXzHN4SmIsIpwkhikw8QIuNWrUcO93JOMcZTHsQCJ7ad++vRISo1z//bmctngC5qft0HrzW0/QSBdaJ8bD6dOnZ+sfff3+++/de0MYWFbv86F9fie8UG7SpEnOAFnYdfg2Y2HL+6CvVYmRunWryucjL4vYX0idm248yn1CC33xed/QUy5kZDBsJAXwaCPs5avDeuvv8Vb9Dd/uSLsVKzc7gu3iiw6W445rLnP/uiNbfYSvDA1hSXjH2TNvc95pkGRNlEQKldtvO1ZuvukoJfM267Ooru9gqvarsyOoQstyjDdapDFy/fK+h8mFFxyk9aQ5wo/6Fs6/M3OhQatWdXLVd+qCxOt7WUddOJOifauWWQfXkK++vNwRZg0bVnfHjO+9/13o9oN/KlYsJ88NPMN5q/3xx0qHA/30gvfhgGdOcx9/ju2I9y8OHrr9eXPu0Oex2xGWnPjpx+scZjx7JNxzdhdKwJ/G+l38c87iou9p/Z4ic14UWfezSPKhRd9+MbTIvMzcfe2117q5k9DTeJWhFxISnPkdb3N0p9WrVzs9Dt2GBVHM60RoIET1fffdJ88//7wLEY0HO9fQLdD3gnMOQ+QYQg09mTDT6Ivob+ih6EDch+7IHERdtIfn9kEHHeQIOjzdkWjzIAt30KNYXILuyvgef/xxp3Ned911rj3qoc/o6q+//rrrC2GokXB9dBfC/AnVN9Dr0XVymovDVOVOoaOg+3pp1wdn7nEAAEAASURBVK6dm5dZiIaOkxvJb9uhdee3HvCPJpF0D+6BhGfMYBBNRyrsOqL1364ZAoaAIWAIGAJlHQHziCvrb4CN3xAwBAyBwkYAr7gcPOIgAiBB+OeRcIoQVXjk+JW2EBAQMwi5KzBAnH/++Y68Ir8VBBkePhAPhOMj9KIXViVjBIEgw4hAuD28gryEuzfcOVYp0y9C50B4Qe5hoMBIT+g/SBPGAKlDPi4MAvxDHAzzCIEDoddFPWkgUFi9y6pXVsfisUcoPMaPgefuu+92JA//WJPzghB/nMf4ccEFFwgrfYNCngzqguSBjMOgwerioUOHumKQWhA8SLBf4dqnDDmywBIC79VXX+VUkQmkFOPDeIJRB6MQIR4h18h/A+mBV6A3AhGKiPPktsPohbfkv/71L8GggWGM+3kn8FKDPPLGH3KngSWC0YsQg3zAibwcPAswxKOSd2fcuHHuuVIfRhaMVIQ9Ou+881wIw6DnVzSwuI/cHQjkGN6JrGLn/SHEIYYtP14IQYhdJFwf3YVc/OF7w3uLJxsEZvC95HaOMd5FE4hcSFHIQ4R3nPcsL5LftkPbKKh6gvXyXeP3IohNEBeMnRDpSGj7lCNM43fffVfodQT7XNz7W7dukiqVi7sXsdX+xX3elQYNqimxXlMXSzTU35sW0rOneqdedqhcf11nzcmU93+/mjatGZaE8yMnJxskHFKuXEJEEs6Xz2kL8ZWUVMEVo76gZ0xO94Ze514ItnB18JvpSbjQ+8IdV69eUeeGppljDVcmp3P0A+LOC33wJJw/V1K3ut5CPab39PQu9PFoGHKprYtCVo1T16mthd5cLDTAAhx+88lPxoIUcr+it5FrlcVSLLxCD0F/QKdkMRC5WNER0QFYIMVcyn3oW8ynCAuI0AWQ4JyD3ooOQ9hkcr/SFnoQeinkXMuWLeW1115zeeDQTxHqQefxYZTRaXKjpwR1RHQncqUuUPINvZvFWc2aNRMWeaEnQQpCHiKR+ugu5vCHcaO7HXvssY5QijYXR6qKZ4Ie47FkS4QHFiLlVnLSA4q6ntD2Iuke/P9EBALyYePRGFqOerw+E3rN6y8FVUdon+3YEDAEDAFDwBAwBLIQMI+4LCxszxAwBAwBQ6AwEKioRNzG33KsmfCKkC/vvfee89zCWACJ9I9//MP9Uw25hUBeQSpBgEHUQdIRLg8jAfdDVOH14wUiCZIDEgOBxIE8Ga45KRA8q0LvZSVx6DnINsg4CBKEeiB/MMAQ9ue4445z5/mDd5yXYJhHDDAYZSBa8JZr2LChL5ZpHPn555/deGkPYWU1Rg9IuKOPPjqzPH2cO3du5jEhJzHugBnYebKHVc2Qj9QRlGC/OB9qnIG4ROgj48NgFM6Q6goVwh8MThgHfD8xWkHKQbRB/mB0os+EJuKdgAzzcsIJJzi8KAs5ixEGIio0fBDGJi8YyfwqcVap814gtI/XnTfk8Nxnz57tPBUh46gTYRuKobsQ5o8fky/Ps6NehLFhlPOronkOeOIhkfroLkb5w/ODtISURFgZHhq+KjiWSFXddttt7l68A1lhj9ENco/QobzTXi655BJnjPTHwW20tiEhMeohfM94hyNJtHoi3ZPTeU8qBrHBwOmfMe+aD4VF+3gbeAE/3lkIdaQw6/BtxsK2fPmKmiMtK0xZLPSpuPtAeMXly1Okc6cm0qZNHUe8ERbxe82F1lq9yfz3vrj7ae2XPgR27EjX36GshUhFOsI6qgNtUF1vpYYWbXBakTZdHI35BV9eVyJywBVXXOEW/jA/oLOiN/BBRwl6UKOjkMOMCAfoHdzHQiMIPOZTP88E5xxCHzPHeN2QOdeHv6Qv6EsIugPEHwJB5kMzor/5vrqLOfzxegrFIPD4+DkSfdLrLNTJfEf0hmh9zKE553WH7kw/fTuR5tFIdYExBCEkJX2EWAJf8KFvEKcI/ysQQSGcRGs7L7pOtHrCtZvbc5F0D3QmsPNREqLpSIVdR27HYuUMAUPAEDAEDIGyiIARcWXxqduYDQFDwBAoSgTwiFs9QSRNc3fFZ61CD9cFVv8SVhIDN15YhPUhBCO5ILzghcY/0YQYxFsI4Z9sQq1AWrGaFq8dDB0IXky+HMd4BBHOh1XIGCzC3dulS5c96qMcq4/xZPIGCP7px6iKcYT2gxKOuIK0wwuLsUHEBXOfeeMshgKMKz6MJHVCOHIuNC+ev8e3CylCeCBCFbECmjCO/HOO19fX6o0XTULrila2OK7huRckzoJ9wPiAQcuHYvTPhTKMi3fGG7nwOgwVcAJb3jf/bCnjjVyh5f013gWejc+7F65cfs7xrnmh/7xL0fqIgSySQCRBQrNyHZwQvDLJzRIU3rtI+PpyEJLea5BV44RWvfLKK93loNEu2rsUrW2Ibl8P39NoEq2eaPdFu4ZBEeMZ2LCyHMG7FMI9VELbBz/y/kGQF2Udof0q6uPk5Foyd07WgoCibj8W2/vs00vlqae/cznRFi3aoIsZqknPHm1cuMj27aOHHYvF8VifSg4Cq5VnSE7OIGSKvNfod/ucKLJkhLrUa9jsSg2KvAvF2SB6YFJSkluMsXhx9vCgXkfx/WMhEef8XInuy5yC7uZ1V1/Wb5ljWAATqhv66+G26DB4hfncrpTxbYYrn9tz6Cih9ZA3Lj99pE08+fBmI1cckpe52N0Q+EPEDD7oTEQ3wAsRQafw+oXXhQK3Ze7m1LavgxtCMcisRHdyqidYNi/7kXSPYL+oL7Qc57yeF3rN6y+FUQftmhgChoAhYAgYAoZAFgIZFpmsY9szBAwBQ8AQMAQKFgH1iHOJ3XMIT0mjhFdcoJ5tkFSQKXjWEFqnZ0/NP6IC8UGeOLzPMDBAjEFS4O2E1w8eUJT3yd4J0YJ3E8Zx/yF8IaGDvIdcuHvDnSMfW4MGDbIRWoTAIZ8FRBfeShhR6A8eTIQlQjAG8EHw6GIVLgYBcitRFoFI8WE4CZtIvXi2cR/hGfHqwyMMryZP3rH6GJIlKHjM4b1DqEuEdvr06ePIJQw/QQn2K9g+ZYLXfN/9NlhHYe/v3r07swnGjqHGi8eOY54B173gqUWeFi9gQMhADGVBgod8Krw3nKOOW265xREv1O3z0bl311ekW65xDtKO98h7q/E88IoKlW3btu1B6Plx+W3oPbzbfny+/Wh9DL3fH1MH3p+QZxhYILhZIU+YKQyG/h2dN2+eM/C1adPG35rxnc08yr7Du3rppZc6Io6V1RBPeHv6D3V78f33x9Ha5rvh6+B9D0pe6gneFw5/fz20TjDGIPp1gLQmDCnvD4L3rQ/fSXgwPBN8HYSOJXxpUdTh+x8LWzyZV67arb9LZdcrLjU143ec58E+ZNvQV86RBfPulO1bH5LFC++Wlwad6c77MpGenX+fIl3P6XywLzmVzc31gq4vN21amfwhgDqBk3yLFtnn+vzVls+7qrcXqaxkyvLP8llBybvNz+PkCEV/Y8EK32M/hzMi9Au81FhsghAakJDUECII+ilz4xNPPOF0C3dS/wTnHPLGouOityBEhfj999/dfvB3I6irQdp5jzgKEv4xVG9kjkRCzwf1QFcg8Ieyvp1g29H6GLg92y4ebCx8YcELOhQRHCAPo83FvoIgxv6c3xJGnrCcPic0+qPXLyA0vQT7z7loc3hedJ1o9fi22UbC35cJHWMk3YPylEV/YUzRdK3CrsP33baGgCFgCBgChoAhsCcCCaqk3L/naTtjCMQwArs2aOiTqRJX5yj1rikXwx21rhkChoBDIEFzUqxTb7HyyWqgyQjjFwkZVqliKMCzC0+ufTXMG+e6qIcaQogfPNwgSTxxhTEckglvOEgBViJfdtllLiQNZAFh/vCSg4RBMKQTJgiyDnKNf1x9yD1/LznlQs/RH0K+PPTQQ26lK33A6AJhQPhGwkTec889zvOK1cesyMVLbsCAAY48w1sLg80jjzzijCvcg3ccYTQxQEAMzp8/3xEikGmELSLfG/VCEDFGCCaIRry/OI/nDm3RN4TVuRB8hDkCC4RVuRgEII68hPYLz0DfPp5n5MGCWOrRo4fz3gMrSBpIzbwIXmb0I0jM5PZ+cv4RSoi+kyMPEolccBAjTz/9tDPU8DwYO2ODYOK5kTOQMng8+meOxxp9wQiDIcUL+d94v/C4BF+eDWQphi7yrvAceH4Yhrp16+bqJ7wj9YINzxDPQ4xqkMc8E/rjQ1yS2w1PvEWLFrmV3uCH8YrwS5C95PEgfBVeoPSPdwYjCh6TYNahQwcZOHCgM+BBrkK0hvaxmYZfiiSM97HHHnMf3lvGRu5F6uE7BUa8/+Q3JJcN3xWEcE68D4SAxVgI2cKYMb7Rb649/vjj2UKlhusD7xlec+ACycZqd97RaG0XZD3h8Pf1Rxoj2PAuYQAlTCwr6v13h7HwPvTt29eR8jxLjJyEz4LM7N+/vxtfYdfhx5CbLUQzxk0f6jQ39+SlDN/v6dN/VWPiTtmvRdlb3/fGm3+q1/Yc6dY1Y27re8V4SapaTr831RyMCQnZMQkt77HevHmXvDjoD3n5lZlyxun7+tO53v7++1q58ebvpEH9Kvo9yyLCc11BSMGCqO+XX1bLw4/8Iqf0bJqt9mHDZ+lvwkb59rvlUi4xXt/NjCSD69Ztl5eHzJBly7fKV18tViN6sv7uZHjGfvvtcvnPY7/IsOGz9V3brb+NtTK9USLVR6OrV2+Tgc/9pvNInJIdVbP1o7Qd/PJrqvw1R6RXrzOdp3+xja+yesKt0igI5fQ9JCJCDMve/j6ij6FDsKiFeZ2FL8xx6Chjx451ugC6E3Mo5QYPHuwW8LCgjHnfhz0GIvQBr2d6yIJzDnM9+gG6KQuPCEUJyUQ76Bn8xuPVzpxP+GwWI6EjQe6h86IXoR9B0jCnMaejD9MPziPoKOjZQR0R/ZkwmF999ZVbBMd8gh5EmHX0EiJQMA+iy0D8heujH0/oloVMhE8HO3QUPuhTRC6INo/SBxa/gScLydC5vP7C/eg66HWEqIwm+dEDwtWX33oi4U8bkcbIgsBIugd6KBFD+N+HuTmSrlXYdYTDKNI5Fp7xvwxkNPq+iSFgCBgChoAhUMoRmBynyljZXcJayp9uqR3elgWSPn+4xLXtr8vWMv55L7VjtYEZAqUFgUWayD1O/8FqHDnnkx8qZFUwPEroMeUgBDAiMIX5aQzjB95j/p9xX19OW4iI0HvDnfP18A8wRnf+kcVgERTIIowCwdCCwevs+76zHxwbxCJjwliDsEqW66EkFgRZ1apV3TXKhworrlmRHZRw54LX2Q9tP/R6fo5ZIY5xBqzyKpBvGJTwagQzvM9yEowhPEvIx1DBqBH6XDAA8Ly88C4RitDnWvHno22pl/5B9tG2f37R7tmba/npY7T2IL5D37FI5THW8Rw88RupXG7P56XtaHUWVD3BNvgu8z0LCtjzvIPfO76jfMKFJy2sOoJ9ymmfZwZRCKlbWMICgc9GfiL9riRPUVxhNROT9W7Zskvx3a3fiUquf0uXblGDekV9R8IbFEPLBwcF2TRo8B/y5uvdgqdzvX/hxWPk+mvbK3lcMOEv96a+Vau2yeSfVsrD//5Zfvg+y7v17Xf+0kUUm+WuOw/WOWe3XHDRGHn5pS6aE6uiXH7leLmmXztdnFJXf/eXy8efzpcnHj9SFizYJB+MmCsXXtBKFzxslDvvniRP/vdIN85o9e3YocTUXxvk9v6T5O47D1ESIe/zUK7BL+aCqj7IC4N2ywEHHpHpEV+sXVrxpS6anC7S6gZdNFmxWLsSrfG9/X1kzmehCXMoRFpOwpzAYilPzIWWD+qEXAs35xBGMDk5OU+6BroxxExQ/wxtuyCP89PHSO2Hm0cjlWWckDrB8OSRyubmfF7ajlZfQdUTbCOS7hGq13JPJB2pMOsI9jXaPlE+0CEgEEN19Gj32TVDwBAwBAwBQ6CEIjAw+zLNEjoK67YhYAgYAoZAjCNAqKKti3PVySAJxw2hx5zzhnBPfEB+sJ9XEo66wt0b7hxlEVZs4j0VSsJxDcN9Tv9I+r5TPjg2DPlBEgfPtHAECUQI5YL1UJeXUBKO8+HO+fJ+G9q+P19cW8hQT3DkhoSjnxB+4Ug4roV7LkESjjK8Q3kh4Xy9vAu8F8Hnx7XCkPz0MVo/wr1jkcoTPqqgSDjayEvbkfpUkPUE2wgl4bgG9qHfO77D4Ug4yhdWHdQdS0KYr8ZNGsuIj/jOxlLPCq4vu3ZlhJ/EGwvjuJcqVcqpUTyLzG/YsIr+DmSRkWlphKhLV9IpIzxxaHnIIi+JiXH6jvmjPbdbt+7OrCd4NSVlp+LOghLe0eAV0fDNO9w1rnuhP4ScDPbLX2MbqT6PAWRiqNAO9XmBmGzfrpY/zNx+8eViOeH4hu64YsVEadO6phJ2q9R4vlUXuKQ4Eo6LRx+9j0yaRA7OVM1rtE1uu/Ug5zl3zDH19Vp9+XHySldHpPq4WKFCgnrV1VICIuv5uJtK4Z9PP0uVxHJVpEuXLrExurr0Q1/GleNioz+F0At0FIRtbkg4yjInoD9G0hWCOiHlw8056CiR7ueecAIJh4TOX+HKFsS5/PQxUrvh5tFIZRknHojgVhCSl7ajtVdQ9QTbiKR7hOq13BNJ1yrMOoJ9tX1DwBAwBAwBQ8AQyELAiLgsLGzPEDAEDAFDoLAQUCIufdcmdQdbV1gtWL2lCAHCRY0aNcrlACT8kIkhYAjENgJnnXWubNlaQT74MFWJqtjua156B/n0xJNT5ZJLx8prr8+WW26bKFdf+42rAsLq6WemyQ03feuOIZLw6nr/g3nueORnC+TU0z+Xd9+bI73OGuW2wfIUuuzycc7by90Q+DNhwjK5+dbvnGcYp/H8+v33dfLK0Jny6muzXUlIwQcfmiKfj1oohLxcriEdveA5dtc9PzjC6t+P/Czn9B7tLo0fv1ROPPlT+d+7c+WBB6dIj1NGau7VjPsi1YeXHyE3//PoL/LMgGly/gVfyXvvazIyFUjJZwdO11B46x02eK9FEshAPNSCxCX706at0bB565xXnL8XQ3pSUjkd89pMcs5fq6rk5zFHN3AEY6T6fNmysB0zbreGpEyX3r3/EXbBSbFgEK/k5z6aq3bdFHW3X1EsXSjsRodqHl/CQQ4fPtzlmi3s9qx+Q8AQMAQMAUPAEDAEDIGSj4ARcSX/GdoIDAFDwBCIfQQqNZA4cjrm0isu9gdkPSxMBAi7RA6+BQsWuPwhhdmW1W0IGAJ7jwAr/i+44GJZuCjekXF/O4vsfcXFXEO5cvFy9FH7aK6x7dL73P1k0AvHKeFFTsAUDdNaXr0vamq40gzmkbxwQe+rk09qot5c213etg/eO0nO7NU8W3mG9vCDRwjlgkL+tOXqIfbMU0drLqeMMLsjPpzn8s5dp6En92+bkctx8MszNMRdNTn/vJbS55LWSsJkeIZDHt5x5/dy2y0dXN19LmmjeR+3uCaOV2+03bvTpYnmS3vg/sO0T/vKx58scNci1YeXX/N9q6kXXbrcfFMHeew/nTKJuD/+WC/z5qdo7sl6LvwjXn2RZNGizbJT+1ajRlZIZfbnzE3Rz8Zs2FEHWHItKHgFrtK8b4ccUltzb0auL3hPad4f93Wq/PBDuubm6u1IoZgaaw0Nh1tJvR+Xj4qpbhVUZ8jFS5jJhx9+2IWKLKh6rR5DwBAwBAwBQ8AQMAQMgdKLgBFxpffZ2sgMAUPAEIgdBMgPp2ScbF0UO32ynhgChoAhYAgUGAL16tWTPn36yoKFifLGW6ma57LAqi7WihITEzT8aMaHjiQnV9Q8ZxmeXwkJ2Ymn4HFiYry7D4KOkJQQZcHr1OWvsY8Q4pGcZqf0bJpx4u+/XY5rqJ5oowVC7rDD6rqzX45eLAcfVNvt40FWu3ZGLi68ywgTWadORt462g0K/fKEIbnZvBdbpPq4l3tq1swI8Ri8p3XrGs4TD485+t6oUfa8isF2q1bVxTgqPkwn+5CCdbWfSUnl9X3JHtcUDzquBQWvxH/e09GFnotWX/Ce0rivqWo1h16qhu9Mk/POP19atWoVm8Ns0DNjAdZGzRdnYggYAoaAIWAIGAKGgCFgCJRxBLL/Z1bGwbDhGwKGgCFgCBQiAuSJ22JEXCEibFUbAoaAIVCsCEDGXXFFP9m6rYa89HKqLFmSkUepWDtVghqH7Op0RD257/7J2Xp97TXtpP8dBwtea08+NdVd27kzNVs4Sk763Ejr1mXkhstWSQ4H0eqLdCsecK8N7yodDqwlV/b7WqZMWR2pqCMKq1ZJdF6CvtCGDTscGblvsyRZu3a7P+22Gzbs1GtJmec++3yhdOvayOWK4yTEY6T6Mm8qhTvr16fLK8NSZe688nLpZX1dzrGYHWZF9eiseYjIiq80mdrOmO2mdcwQMAQMAUPAEDAEDAFDwBAoCgSMiCsKlK0NQ8AQMAQMAZEqmiduhxrpUjNCZBkkhkCsIbBjxw71JMmZOEjFHSGPsq2EuweRC4pPqOzend2LJfS6HZc9BGrUqOHIuH2b7y/DXt0tY8alaljDkotD6HvP18B/FfA8S03N+s0IPc743mSNPfT67NkbhFxziK/ztls7OFJq0Et/ZN6IJ9yJ3RvL0CHHy3cTM3JudevaWMZ/vTSzDGEbd+1KlQOVFKtQIUHGjlvirm3alJ0ACY4n+HMXqT4qiXTPd9+tcP2/5eYO0u+qdi4nne9Q8B7OxcfHydlntZCff8ki6whreeopTaVTp3pSuXKieudlhKIkL12rVtWlWbNqrrpvvlkmjdXbbt99k1xuuF+0DnLiRarP94EtmJcWmfxTqrz40i6pVLmh9Ot3rTRsqKEfY13qddUXSH8AVn0d6z0tEf3LjS6RHx1l69asHJMlAgjrpCFgCBgChoAhYAgYAiUQASPiSuBDsy4bAoaAIVAiEajcVFfra4jKzfNKZPet06UXgV27dsnAgQOlVq1a6q2xJuJAf/31V82FdLi89dZbEcuEXpg0aZLmhWojQ4cODb1UYo5feeUVefDBB6Vz584aFu8weemll1zf58+fryHuamioueyeLCVmYNbRQkMgMTFRzjjjTOl93nkydVqivDAoVf78M4uwKrSGC7hiSLavJyzT34Vt8ttva2XWrPUyX8mjid8vlxWax22CXiO0I9dmzFin1zfIpB9WOq+vL75cJNu2p8oHI+bJ5s27HLkWLE9XH/r3FPl81ELZtGmXa2fx4s0yc+Z6uf7aA2TI0JnO+w2vsbfenqOfv+R3DTt5ed82bpQXXdhSZmp7117/jQx87jcX9pK2d+xIlRuuP0D++8Q0uf7Gb5WQyyLrfvpplWxU4u/b75bLunXb5ftJy2XW7PWO1IpU38JFm2S6ju+339c6HBhXmrKGjAW5918/ytdfL3OhJXudsa87R268jz6eL7s1rxyebD7s5FVX7u/a4hqfs85s7jzc8OR7/NHOMnTYLBk7domM/GyB3Ht3R1fXpEkrpP9dP0jfK8fLEUeOkE5HjZCnB0xXEqqKRKqPGwltOU7Hvkj7P0GJPJ8nz1Vawv4sXZrmvODGjEuXbt1PlosvvlTDnVYpGaNI0PCidU8QWfujyI7I82vJGEzx9TI3usS6devkyiuvlPM1XGluhTx3F110kZxyyim5vcXKGQKGgCFgCBgChoAhYAjkE4E4Xa1YepYJ5hMEu62EIbBlgaTPHy5xbfuLJFQuYZ237hoCZRwB/e5K+RoiDXuVcSDKxvAxHDVt2lQaNGgQ8wNmlXnlypVl5cqVUrduRg6mcJ0+7rjj1NvnCjWEXhzucthzp556qpx88sly/fXXh70eyyc3bNggxxxzjBINvznCrVu3bs5od/XVVzsvmVmzZknbtm0jDmH06NFy4oknRrxuFwoXgTlz5siWLVukQ4cOhdtQlNrxNB03bqxM+WmKejQlSNfj46V+/ey51aLcXqov7dqV5nLH5TRI/l3bsmW38xrDsywokHzkS4N4IpebFwg5QkcuXrxFep8/Wib/cLa/FHUbqb5wN9EvSDSIxKSkjBxw4cqFnoOYq1QpMfS0O8azD++4vEi0+vJST6yV1Z9fGT8hVX9/d0ubtq11Hukp1apleAnGWl+j90fNDXMHZ/zf1iz3c2f0Ovf+aiz8PuZlFLnRJZ577jlh3v3kk09yXfWrr77qFgtNmDAh1/cUZkG883755Rc5+uijozaDjtm+fXv97ckKYRv1BrsYcwhs3LhRpk6dKkceeaTOhbmfQ2JuINYhQ8AQMAQMAUMgdwgMzPpvLXc3WClDwBAwBAwBQyD/CFRtoR5xc/N/v91ZphDAgI/wj3qocI3wS0FvLPZ37tyZWRRPt82bN7sPIScxGnPs7wmGeEpIUG/NEKH+JUsywrv5S3j6eElJyQij5o/Z0iafoHCPz90UPF9U+z5MlceTdtkPtxZr7dq12bo1bdo09bTJwKZixYqSnJyceZ0xtWrVKls4z+Bzeeedd+Sxxx7LLG87ZROBChUqSI8ePeWqfv0kPqGJDH5lp/zvvVT1KLO1gOXK5e5fMb5rkG2hJBxvFOeRIAnHMeEpExLiHUHHcW4lUn3h7ve/a3kh4agnEgnHtbyScDnVx/WSJhs2pMunn+2Wgc/vkDVra8nFl1wivXufX0JJONBX8rh+T0lH/9s0q6Q9joj9JTQzugXzntcrfGE/37IQwgtz7qZNm/xhpk6CXuJ1F0gojhHKB+sNp0vg0ebv5Z6cdBTKhIahDN7D9aIWMAEnxou+ctlll7nFP8F+oG+tX78+89SiRYv0O9HbYe9P8ixWrVoVVrfxZWxrCBgChoAhYAgYAoZAcSKQu//+irOH1rYhYAgYAoZA6UEgqYWk71IjxI5VpWdMNpICRwAjFN5jnTp1kjvuuMNtWS07e/ZsDf82w62Svv3226Vr165y1llnOaLuuuuukzfffFPuuusu57GFUQdSCW+uc845xxmqIMgIwcQqaoRQi4MGDQrb/8GDB8uQIUPku+++k+OPPz4b2fT111/LueeeK82aNXPecb6C//znP/LII4/I6aefLs8884w/XWzbcePGSevWrWXAgAFy7bXXSqNGjWTYsGGOHGNl/X777afh6da5/hF2E8wZG5j9/PPPSpSskHfffVdzQKXIyy+/7D4LFy7MHM8bb7zhchRRLvS5nHHGGTJixAgNC7fIteeNkpk3206ZQ6BevXpywQUXOyPrjp0N5KUhO+W1N1JlzpySF7KypDy8jRt3aJjHhUqgV3BhGktKv8tqP5ctS5f3R6QqAbdLli6rKeec21tDDV6tnqT7lnxIKjeWuBrqmbv8S2WYSn5uUUJU169fXx544AHp1auXNG/e3OkgzJc33HCDnHDCCU4fqVmzptNR0An+/e9/uzJ41uMFBHF03333ubDYeOMjb7/9truPfXSKSCEj8Ua/8cYbnV500kknZSOuIKzw3CeUdLt27WTp0ozwtOgEt9xyi9x0001ynoYNDiXkaLOoBVx+/PFHh83jjz8uf/zxh6CPjBkzxukfYAQxN336dLn33nvlySefdF1EV2Gh1PPPP++u4UFHXV9++aV7HkU9DmvPEDAEDAFDwBAwBAyB3CBgRFxuULIyhoAhYAgYAgWDQMX6EpeoeU02zSmY+qyWUolA1apVXZgawiJiiMIwQ7hIcpPtv//+gkEfQ9P48ePl9ddfd2Qd5y+//HJ56qmnnHHmX//6l+Ye2kf++9//uvsJeVO+fHkXxghiDYG4u+CCC8Ji+NlnnwnGLXKtQCYRwspL48aN5b333nPGIsioP//80xnVqP+aa66Rhx9+WO6+++5sq7f9vUW5xRAIAdawYUN54YUXHJbkesMI99VXXzl8fvjhB7fi/sILL3RYnX322S7HDEZC8COsJHiTd4YPoUa9sBrdGw9DnwtGyu7duzsD8p133qneORX8bbYt4wg0adJELrnkMvc+VazUQt56Z5c890Kq/PAjHq5lHJwCHn716hXk5psOlC8+P1WJgYYFXLtVVxAIqFOVTJuepjkBU+XloTtl85Z95B86L1199XVRw/4WRNtFXsc+3UVSt4qsmVjkTRd0gyzGIacsYadHjRoljz76qJv3CR161FFHab7IWYIeAgk2efJk+eijj+Sf//ynPternScXcy0kE/dB1vlFLniHQe4h/dSLmLk7nEBEERa6S5cubrHSxx9/nFmMKALoSzNnzpQ6derI8OHD3TXmZXQTCEH0lvfffz/znuLaYdET+gOLmA499FA58MAD3SKnHj16OJzABX2PMJWQi6+99prrKot9kJtvvtndgy5GzlrChkNQmhgChoAhYAgYAoaAIRCLCGTFV4rF3lmfDAFDwBAwBEoZAnEaR6t5RnjK2keWsrHZcAoSAUit2rVrZ4ZZwmgFKQfRVr16dWnZsqUL91irVi3BAMXqbi8QUBicKIvXXJUqVQRiDY+www8/3BdzK8UzD0J2qHPixIny/fffO6KKcEeEYUQwGiGQUhiOMLDhWUafv/nmG3cNgjAWvMAIJwmRhuBVAXacQ1jNT1gryDiIzkqVKrnzl2gYtNyID2flw9OFPhfq8NdyU5+VKVsIkDuScHsQ7j/99JN8890UGTtupxqXE6TDAXHqYRKv70/ZwsRGW3YQWLo0Xab9lqaeTGmSmhYnBxxwoJx2+hGZv9elEonEqiJ1jhNZNV6kxkEi5aqX2GH6fFbMo8iZZ57piCIWDkEIoR+ge/BBn8A73Qs6Ch7oEGUQTxBMEGcQeJBo6DUIW7/v7/VbCD1IPnSNv/76yy248ddoy4eUpl+QVBCGkFpeR8G7DK/+4ha8CclhygImiEcvXndAb8EzH9Jw/vz5snr1al/EbX05dETIO/QZPOtMDAFDwBAwBAwBQ8AQiEUEjIiLxadifTIEDAFDoDQjQJ64ZSNF0jSXV3z50jxSG1sBIgBJRIilcBIfH+8MWpBuCEYob5xhS1hGb+TCOys3wj2EwySUJV5kkQRjGwQcK+MPOuggFwbTlw3mdvHninPribNgH8jJQv/JBUfoTm9cZKU+uO6t+Oewt/XY/aUXAYzWeE/iqYpheurUn+XNtxdq7rMEaaecd7v945VE3/t3sfQiaCMrKQisXp0uM2Yq+fa7yNp1u6VBg3pyQteOSsIdkLlAoqSMJd/9rN1JZP0vIis0RGXj3vmuJtZuZB5NSkpyC14WL16crXteR/EnWUjEOT8/QkDh3UY4Z0i63AheeHj1v/rqq46IC5dLl3qCOgqLgwjV7SUWdBQIOMhIQmby++/DentsIN5YaIVXH7rd008/7bvvtr4cocbxPLzqqqtcSE5CWfrFRdlusANDwBAwBAwBQ8AQMASKEQH7r7YYwbemDQFDwBAokwgk6argdM0JtPmvMjl8G3TuEdhNzK6/hTCUhILyAlHkhXxnXPdCWMXTTjvNH0qfPn1crjcMZX6VOBfJQ+JzpEFIIWwJt/jiiy8KeVwwXBEWKdieK/j3H+ogTx1hkvDA4xjBk+7339XaqkKdvn53ogj/BNvduXNn2HFgwIIMueeee4SwWAsWLHAGQbrJMwjWEdz3z8dvKR/EiXCUsWDoo18msY8ARDGExMUXXyo3abixw4/oIvMX1pRXhu+SZ55NlS9H79Z3M03fx9gfi/XQEPAILF+eLl9PSJUXBunnpZ0ydXolabt/JxfGmPxv5PHyXsr+ntK9VfND/R6SvnGGyJZ5JX6ofv4j9yyLCSpXruzmzOBciI4CSeRzsv32228upxzkG0K4a8JAP/HEEy5HqwcFT3wIJS/Mv34OJkLAIYcc4nQaPNuD7fnybMlzS7hG+kZdQ4cOldTUVOeJjKcZ4ut0B0X8h9CUhABHZyJyAYKutm3bNrf/zjvvONwIaUw+Wvruy7D1Ogb1tGnTxumCeBESGtTEEDAEDAFDwBAwBAyBWEMg4X6VWOuU9ccQiIrArg0iG6ZKXJ2j1JumXNSidtEQMARiEAG+t1sXiOzaKFItI8RfDPbSulQACCxZssQRPKwSz6vMmDFDMMBAnBGSaPPmzS4XHGGfWBFNiKVOnTq5kIrHHHOMvP322y5kEbncKEPeFYw5CEZO+kIoJ8InejnllFPcqnQMoYMGDXJ5XsiL1qVLF/la868MGzYs08hDOCcMZRi76A/GH/px1113OWMYIZ6457bbbnOGIMJqQs4Rcg+CDgMchrD8YOH7m9cthkH6iFEKg92zzz7r+gZeGLl8v/AkJOzmfffd586xmr9///6ZZTCQgQkkHcY/DGHdunVzIbEwnJGDhvBbAwYMyPZcOPfcc8+5cFIQLOTOMSlaBCCa8XTkvS5JwncWw+uhhx7u8jomJFaSOXM3y8TvN8mPk9NllXoW7d6dLklV49WLsySNzPpa2hHQ9Q6aUzRNfpicKiM/S5NJP+6WlE1VpVXrg1x4wO7dT3IkDL+PZVbKJ0vc9hUiG5VkSj5UYSieGLR7+/tILjc82yB9hgwZ4ry58NBi3h07dqzz9IIcatGihSsHWcQ8yEKfJ5980oXL9u8A8yghotFrvDBnM6/27dt3D10CApC8apB15IHFO45Q2czlhKtk4Q1EGzoP3mYsdKBtQmISqnLu3LnuPBjQlylTprh5nrqKUshPy1jw6CM0J5EFWAD10EMPOY82FkSBJ7oUhKUn69BJWHSFRyAehqNHj3YhQPleoaNAPprEPgI8awhWnm1woVzs99x6aAgYAoaAIWAI5AuByXG6AsrWleYLO7up2BDYskDS5w+XuLb9RRIqF1s3rGFDwBDYCwTWTRZZOVakjX6P4xL2oiK7NZYRgAgiLBK5oPIqkF2PPfaYfPvtt86glBsSZ9myZS7Uk8/ZEmwzGHbRn8cAgNdWJMGQBZmHqsTHh2pkHy+55OTkPW4lRCXnfdk9CsTwCYxXW7ZsKVDCDMISDEsiHjH8qHLdNYhpnik5eEqSrNZQqQvUsFpBjcjl1XjMtoJud6iRe7GGKpu/fKks0W2qOsbus0+itGgusm+zODXmGTFXkp5zaegrztlLl6bJgoXpMlcdvBYvxotYpGGj+kqKtHXh9CBYTEIQ2LVe5K/nRep102RoWeRTSKlCPdzb30dINwgtFthApOUkLCjCe80Tc6HlIaSCIaTRNdBd/KKi0PJeR+F86L3k3qRfoeQGi3AoW5SLgkL7HTxmcVNKSsoefWXxEt6FCBiAC3iHjtOXox7K8alaVXMRmpQIBCBgIVQJBe9Do5eIjlsnDQFDwBAwBAyB/CEw0HLE5Q84u8sQMAQMAUNgbxCo1kZk+aiMsERVW+5NTXZvKUUAowoGFzxjchu2KxrhF+4f/GgkHLB64xfGHz5e2A9HwnEdT7iSKhjsckN45mV8uX12eanTypZ+BBL1ez9BvTIhcNP1tyDcqkEo9AQl0rfoZ6q6xf2Ma1wl/b2oWVmqN6wqh/Y/QfY7RAm8yFx76QfSRljgCOi05Ii3RYvTZOGiOFm0KFV2qXdmtWpV1NOtpRx2+H6OaLHfvhygL1dTJ8wjRVZ9LVLjAP0ylywPQXQUhG1uSDjKQhDhvRVJgiQcZdA1vB4S7p7gtdB7CTcdTmItbxq/8eH66kk4xhDU30LH6ctRDzpdTnpdOEzsnCFgCBgChoAhYAgYAkWFgBFxRYW0tWMIGAKGgCGQhUCihqirpOFvUmaqZSKyUSLrBtsrSwgQKmnUqFHO6+yjjz6SXr16laXh21gNgTKPQM3WrSWpUSPZpCFlo0mqerVqHDNXJP7vgnE7G0rKSafK+2MrStzYHWokT5TGjdI1DFy8NKgfp8cQ69FqtWuGQBYC69alyzLN84bX2+IlcerRtFvSlBmGeGvSpJmc3KO57LvvvlKzphJLJnlDoM4xIuuniazQCAkNT8/bvcVcmlxrhPwdPny43HrrrREX5xRzN615Q8AQMAQMAUPAEDAEDIEYQsCIuBh6GNYVQ8AQMATKFAJ4xa2ZJNIAXwezipapZ5/DYPE2Iz+biSFgCJRdBPbTHIvTNKdSmoYay0ni/vac63jDDXLs449LgnrUEbJs0aJF7rNkyUKZ/vtKDVuWKuUS46R+/QQl5dLVkB4v+9TLIOe0CpMyjsDatemyYqV+VmSQb8uWpcv2HWnqmRkn9erVUTK3qRzRqbHLXxjMN1rGYcv/8OPUi3Wf7iJLPsjIFVcp72Gs89/43t15xRVXCB8TQ8AQMAQMAUPAEDAEDAFDILcIGBGXW6SsnCFgCBgChkDBIlC9naSvGCNxm+eqV9x+BVu31WYIGAKGgCFQohFo3rOn/Pq85pDKQRI0d1A5zSF36htvSLOTT84sTciyNm3auA8nybe0cuVK9WxaKuSTXLh4ifz08xpJ1URzCUq01K6doGRLutTR6LJ168RL3bqETMusznZKEQKbNqXL6tXpsorPqjTdxus2I8RkvLpL1qpdU8naRtLl+AbSsGFD5/kUGhKvFMFRvEOp3l5k3RQNV/65SHMjtor3YVjrhoAhYAgYAoaAIWAIGAKFiYARcYWJrtVtCBgChoAhEBkBzQ8SV6WJyAYNS2REXGSc7IohYAgYAmUIge1r18qCL7+UOZ98It7TLdrwm554ovTQ8HCV6tSJVszlWyKUHJ+OHTu6suR3Wr16tXpArXAk3apVK2T+lJWyadNWd71cYryGnItXki5daiWL1KqlJI0eE4WwcmXz5I4KeDFfJGLp+vXpsk4/a9akydp16oS/Jk7Wrk2THTsz8ntVrlxBCVcl2xrtIwcfUte9G/Xq1RMj3Yr44dXvITL3pQx9sEaHIm7cmjMEDAFDwBAwBAwBQ8AQMASKBgEj4ooGZ2vFEDAEDAFDIBwCGFyWf6HZ7tViFl8hXAk7ZwgYAoaAIVCaEcBT7ZdfZP7nn8s8/SyfPFniExKk4dFHS622bWXtjBnOmy0IQbx6wUHSnTBggHS4+urgpTztx2sdEC98grJ9+3ZH0K1Zs0bJGz6r5Y+Zq5XY2Shpabtd0QrlIeT4pEuN6qLec3FSvZp+qvPRNKiVjKgLYlrQ+zt3imzcmC4bNqTLxhT9bFQeR4/Xr4+TdevSZNv2DLKNp1C9RpKSqLWlcZO6SrjV1v1aSsDVlSpVqhR0t6y+/CBQUb9/yYeKrByjyfc0bLnpg/lB0e4xBAwBQ8AQMAQMAUPAEIhxBIyIi/EHZN0zBAwBQ6BUI6DhKWX5KJGUGWrFPLhUD9UGZwgYAoaAIZCBwI4NG2TB6NGOfJv/xReyRUNGJmkIwH179JDD+/eXpt26SbmkJPl14EAZf8stkp6amgkdJB0E3WnvvivJGnqyMKSi5phr3Lix+wTrJ7zlBu37unXrlPBZ//d2nSxYtF42TN8g27YpO/S34E2XlMRHuYWkdLdNSopT8kedwKvEZ2yrxqlnnb/DtiCwbVu6bNkiMvW5iSJVKkvlg1vKtvhK6qUosmlznKSk6HZTllcb91SoUE7Jz2pKhiZLo8bJcsCBNdWTMVlJ0pruk6DvjEmMI1D3eGVWfxdZ/Y1IPc0bZ2IIGAKGgCFgCBgChoAhYAiUMgSMiCtlD9SGYwgYAoZAiUIgvqJIUmuNH6XhKY2IK1GPzjprCBgChkBeEFg9bZrzeMPzbdmkSaKxIqVB587S8eabHQFXp8OeIenIEzf2xhtdMy5MpRJhh952mxz98MMSX65cXpovkLJx2mdP7oSrcNeuXeqZtdF9UpQx4rNJGaRNm1Jk9YINsnnzZtm6dXumVx114LFVsWK8EnJ84tSTLk0qV+Kc/8Tpvn7UabxChThh2MFP+fIZ57RrxS54qe3ala4ftlmfHTvSZTuf7aKfdCFsJITbtu1xikec7otu9XhbmqTpM0biNzaXSo8NcpXEN20iVQ47TGoeeZTsr+9JNXU5TFKGs7pua2givwoVzKO+2B/+3nYgQV96yDiiJNQ8RKR8rb2t0e43BAwBQ8AQMAQMAUPAEDAEYgoBI+Ji6nFYZwwBQ8AQKIMIEJ5y0dtqbNO4UuU0npdJqUEA7xEMz+RgMjEEDIGiR2AbDEcxyU4loRaOGZMRcnLUKNm8bJlU0RCQeL0dfMMN0kxzu1VQEiWaVG/RQqo1bSopCxe6HHCnvfOONO7SJdotxXqtnDJktWvXdp9oHdm6dat6fW35m5jbqiRUxofnxf7mrVtkzbptSlrx2eE+u3dnhFqMVG9CPIRcxgdyTqN3ikbe/PsTp9t0uM/Mc3Fx6Zn7lEPS0tL1E6ehQOMC+5zP+mRcgx+DcMv67E7NINAyatrzb0JCvBKK5fVTQT+VlDyrqMRjVam3TyXdquebfipVytivWrWqCxs5r317Gd2vn6QtXCRbly2XTe9/IKs1rGTLM86QaqecIsndu0s5I+H2BLukniE85bopSsZ9KdL0giIZBeS56ShFArU1YgjsgQDznYkhYAgYAoaAIVCWEDAiriw9bRurIWAIGAKxiEDSfiIJGqtr/a+6GrpLLPbQ+rQXCCxfvlz4mBgChkDxIIDHUFHJ2j/+yPR6WzpxoqRpSMn6RxwhB2ket33Vu63eIerpkkfXrZa9esnmJUvkxJdflgoaarA0iCee6tSpk+vhpCqWO9XlDOKAT3Dfnwue3717txJo6mEW+LA4wh+H7nOcoOE0yykrh+cf+fP8J3js9xOV6YN4LF++vNuy7z+h5zimfF7lwKuukjmffioLNHxpKi52KtvWrpXfX3tNpg8dmpFL8MgjpYUSc3hPJmvIUpOSjIAyxfV7SPr84RK3+S+N4dqy0AcDIT5D81CaGAKGgCFgCBgChoAhYAgYAoWNQJz+0xV9+WJh98DqNwTyisCWBRn/oLXtr8Z7S6yRV/isvCEQkwisHCuyYapI61u0e38vzY/JjlqnDAFDwBAwBDwCu9SIvWjs2AzyTb3eUhYtksrqEdbspJMcMcK2onow7Y3gWVe+WrW9qcLuLcEIbFuzRl7RXIA7NCdfOq55oQJpqDng0pR4rNqggbQ880z37jXp2lUSzFsuFK2Scbz4PY1hulKk5bXaX9MJS8ZDs14aAoaAIWAIGAKGgCFgCOSAwEAj4nJAyC7HIAJGxMXgQ7EuGQJ7iQBhKf8cINL4HJFq++9lZXa7IWAIGAKGQGEhsH727EzibfGECZKmnkr1OnZ05Adeb/U1l5eLeVhYHbB6yxwCC778Ut4/+eRcjzu5VSu5ZOpUSdRQlyYlEAF0wr+ey8gZV/vIEjgA67IhYAgYAoaAIWAIGAKGgCGwBwID8x4jZI867IQhYAgYAoaAIbCXCJAbLqmVyNrJRsTtJZR2uyFgCBgCBYnAbs1btnj8eJmvHm/zPv9cNsybJxU1RCQ53k7ScJHNlCCpXLduQTZpdRkC2RDAs7Kj5hX85YUXJF1DdEYTvONO1VyCRsJFQynGr6ET1j5KZPU3IjU7ZIQvj/EuW/cMAUPAEDAEDAFDwBAwBAyBnBAwIi4nhOy6IWAIGAKGQNEgUOtwDTv7msRtXyFScZ+iadNaMQQMAUPAENgDgY1z58o8Jd7mK/G2SEm43du3S92DDpI255/vPN/qd+okcUp4mBgCRYXAsY8/LvPUM453k9yD4YT8dcc++qjUPfjgcJftXElCoI4ScRs0d/CKMSINzyhJPbe+GgKGgCFgCBgChoAhYAgYAmERMCIuLCx20hAwBAwBQ6DIEajSXOIq1RdZ851IIw1RaWIIGAKGgCFQJAik7tghS775JiPkpJJv6/78UypoXram3btLt+efl3179JAq9fX32cQQKCYEEipWlNPffVde1zCo4SQ+MVHqH364HHrbbeEu27mShkBcOZF6J4oseV+kloa7rdigpI3A+msIGAKGgCFgCBgChoAhYAhkQ8CIuGxw2IEhYAgYAoZAsSJAKKIlI9T4sl6kXM1i7Yo1bggYAoZAaUYgZeFCF27Seb2NGyc7t2yROu3by369ejnirdHRR0uckhsmpQOBNWvWSFJSklSoUKHEDqhOhw5y7GOPyYQ77pD09PTMceAJJ/pZrwTy3JEjpcVpp2Ves50SjED1diLrNGT5slEizS8vwQOxrhsChoAhYAgYAoaAIWAIGAKaSt1AMAQMAUPAEDAEYgYBjC7kBlnzfcx0yTpiCBgChkBpQCBt1y6X6w0SY3i7djK4WTNHaEh8vHR58knpt2iR9PntN0d0NO7SxUi40vDQ/x4DpNXMmTNlw4YNJX5Uh956qzQ69ljBA84L4+sxbJjs27OnfHj66TL6yitl1+bN/rJtSzIC9XuIbFuqYSqnl+RRWN8NAUPAEDAEDAFDwBAwBAwByfoPxsAwBAwBQ8AQMASKHQFd1Y5X3IovROocI5JYrdh7ZB0wBAwBQ6CkIrB56VLn9TZPw00uHDNGdm7aJLXatHEebycMGJBBaJQvX1KHZ/3OJQJbt26VtLQ05xGXy1tit5h6vp3y5psytG1bR7aRq7Bdnz7S9sIL3We/M86Qr/r1k0Xq5dnztdekwVGqU5iUXATIGVzzEJGVmiuuWhtdRmy/VyX3YVrPDQFDwBAwBAwBQ8AQKNsImEdc2X7+NnpDwBAwBGIPgf9n7yzgozq6Nv4ECJIQAgQIKQGCOwWKu0tpgSpVKtSh1EvfevtVqAtVilNKDWpYcXd3DRZcAyGBJGS/c2a5y2a7GxIi7Gaf4Zfs3XtH//eyO5lnzjnF6osAVxg4Ms/7+sYekQAJkIAXE7AlJ2P//PmY/7//YXS9evguMhKzBgyAxoBr/f77eDg6Gg+IZVTbTz9FuY4dZU2bi9pefDuzrGtxYh2WVwSroKCgLKvzalZUuEwZdB02zLinDClbFh2+/NLRnSo334z7xbIzTIS6cWI5t+Dll5GSmOi4zgMfJBDeHkhJAo7O98HOs8skQAIkQAIkQAIkQAIkYCdAizg+CSRAAiRAAt5FICAvUKoNsH+iWMXJTnbGivOu+8PekAAJeBWB+MOHsWvqVERPmoQ906fjnLgfLFa5srF6az1oENTNZN6CBb2qz+xMzhI4I5aQwcHBOdtoNrdW9bbbUFdcUF4r1m/5XATGoNKlcZPEils3ZAjmiCvL6ClTcP2oUShRt24294rVZwuBvCIgh7cVbwnT7dZx+RlDOFs4s1ISIAESIAESIAESIIFsJRAgPvUvRbrO1qZYOQlkEYGzu2HbNRIBNV4E9A8zJhIggVxIIAXY/jUQVBYo0ysXjo9DIgESIIErJCAuBg8uXWrEhV3icvLwqlXIK5ZtkW3aoKLEyNKfolWqXGHlLJYbCaxZs8YIcVX88LmI3bkTk8V15aHly9H8jTfQeOBAqDtLJl8jIPPCHd8B+YsD5e7wtc6zvyRAAiRAAiRAAiRAAiQwmBZxfAhIgARIgAS8kIB4Ti7VDoiZAIQ1AwqGe2Ef2SUSIAESyBkCCceOYfe//0JjvelrwvHjCC1fHhVEdGv+5pso1779f6yCcqZnbMUXCKhrytJiJeaPKbRSJdw5bx5WiDvWBa+9hh1//YVuYh1XXGIlMvkSAZkXRnSVzZijERC3EyhcyZc6z76SAAmQAAmQAAmQAAmQACjE8SEgARIgARLwTgKhtYHjS8QV0b9AVB/v7CN7RQIkQALZQUAcVhxeudIIb2r1dlCsefKIFU9kq1ZoIvHfKnTrhrCaNbOjZdaZywjEx8fjwoULKFxYYq/6a8qTBw2ffx4Vu3fH5D59MLp+fbR6911c9/TTgFxj8hECwRURUEQEVJ0XVn5MOs175yN3jt0kARIgARIgARIgARIQAhTi+BiQAAmQAAl4L4HSXWCLHoaAM1uBkGre20/2jARIgAQySeD8yZPYPW2a3epNYr6dPXIEIZGRRnRTd3rlO3ZEYEhIJlthcX8jkEeEpkh5jnJbjLgruY/Fa9TA3YsXY6kMT0KAAABAAElEQVTETpz30kvY/uef6DZiBNRqjslHCMi8EDvEdfmJFUDxxj7SaXaTBEiABEiABEiABEiABADGiONT4HsEGCPO9+4Ze0wCmSGw73fg3CGgyhNSC3c/ZwYly5IACXgXgaMSu0vdTerPwSViARwQgDLNmxvxTWO9lahb17s6zN6QQC4hcHTtWkyR2HEnt2831nENBgygdZyv3NvDM0SIWwlUlXuWt5Cv9Jr9JAESIAESIAESIAES8G8CgynE+fcD4JujpxDnm/eNvSaBKyWQdArYLrufS7UBSrS80lpYjgRIgASuOoHE06exZ/p0u8vJKVMQd/AggiV2V0VxNanuJqM6d0b+0NCr3k92gAT8gUBKUhKWvvceloibytKNG6Pr8OEoVrWqPwzdt8eYkijzwsFAkRoSN+563x4Le08CJEACJEACJEACJOAvBCjE+cudzlXjpBCXq24nB0MC6SJwdD6gP1X6AYFcpE4XM2YiARLwCgLHNmyAxnlTq7f9CxcCEv8tokkTh9VbKYlXpZZwTCRAAleHwLF16zDlgQdwfNMmtPy//8N1zzyDAInJyOTFBE6tAfb/bY8VV6CUF3eUXSMBEiABEiABEiABEiABQ4BCHB8EHyRAIc4Hbxq7TAKZJGC7IDFBvgMKFAfK3ZnJylicBEiABLKPQFJcHPbOnIlosXhTAe70vn0IKlkSUV26QN1N6mvB4vJZxkQCJOA1BGzJyVj2wQdY9PbbCBdxvKvEjtOYckxeTGDnELtryqh7vbiT7BoJkAAJkAAJkAAJkAAJGAIU4vgg+CABCnE+eNPYZRLIAgJnd8G2axQCyosQF1ItCypkFSRAAiSQNQRObNmCXSK8qdVbzLx5UJd3pRs2RAUR3lR802PkYYzLrKHNWkgg+wgc37gRU8U67ojEkGv26qto/NJLyBMYmH0NsuYrJxC/D7boYZwXXjlBliQBEiABEiABEiABEsg5AoPz5VxbbIkESIAESIAEMkEguAICitUDDkwSF5XlZVG7YCYqY1ESIAESuHICyQkJ2Dd7tj3Wm4hvp3btQiGxctMYb12GDkWFrl1RSKzgmEiABHyLQFitWrhr8WKs/PxzLHz9dWz99Vd0GTbMxJDzrZH4QW+DyiKgaB3g0L9A4cri4pfuRP3grnOIJEACJEACJEACJOCzBAJskny29+y4fxKgRZx/3neOmgSUwIUEcVH5jX3BpUxPMiEBEiCBHCNwascOh9XbvjlzcOH8eZSqV89h9aZx3xhXKsduBxsigWwnEBsdjWmPPIK9Iro3GDAALd95B4HBwdneLhvIAIGk08D2r4BSbYASLTJQkFlJgARIgARIgARIgARIIEcJ0DVljuJmY1lDgEJc1nBkLSTgqwTObIFtz88IiLrHLsj56jjYbxIgAa8moEJbzNy5xupNXU6e3L4dBUJDEdWpkxHf1OotOCLCq8fAzvk3gS3iMrVMmTIICQnxbxCZHP0GiRc357nnzP//zt9/j/Ji+crkRQSOzgWOLQKqDpCYcRRKvejOsCskQAIkQAIkQAIkQAKXCNA15SUWPCIBEiABEvAJAiHV7a6I9v8jLiqfEBeVBXyi2+wkCZCA9xM4vXu3w+pt76xZSIqPR8k6dVDlpptMrLcyLVogIB89u3v/nWQPz4uQfPjwYURQLM70w1BbYsZprMeZ/fvjty5dUPPuu9H2008RVKpUputmBVlAQC3hTq4SF5UzgTI9sqBCVkECJEACJEACJEACJEACWU+AKwlZz5Q1kgAJkAAJZDeBiG7iovJbiRc3EYi8JbtbY/0kQAK5lEBKUhJi5s/HLrF4U6u345s3I3/hwijXoQPaffaZWXwvHBmZS0fPYeVmAnFxcQgICEBheZ6ZMk8gKDwcN/72G2r+848R5IZXr442H36IOn37SmyygMw3wBqunECALGmEdwJiJgBhjYCCtFS+cpgsSQIkQAIkQAIkQAIkkF0EKMRlF1nWSwIkQAIkkH0E8gbJrudewJ4fgZCqQGid7GuLNZMACeQqAnExMQ6rtz0zZyLxzBmEyaJ6BbF46TB4MCJbtUKe/PnTN+bkZIAWculjxVw5SkCFuEKFCiFv3rw52m5ub6zSjTeiXPv2WPj665j+2GPYOGoUOom7yrCaNb176Ln9syq0NnBiGXBwClDhQe++F1ncu2S5t/my4Xsos/WmVf7ChQv8bMri54DVkQAJkAAJkAAJeD+BPN7fRfaQBEiABEiABNwQKFwJKN5ErOImAUmxbjLwFAmQAAkANlmkjJk3D/Nfegmjrr0W35Uti1lPPw21hms9aBAe2bULD4glXNtPPjGWcOkS4VJSgC+/BMqXJ2IS8EoCZ0RgpjVc9tyawOBg83lxz/Ll0FiSo+vVw4JXX0VyQkL2NJiZWsU9Ke67D3j00czU4htl1VtC/D4gdkOO91dFp7vuuivH2/34449xt7hKzcqUIt9vX8r3W/mL32/vvfce6tati4cffhhHjhzB1KlT0ahRI7Rp0wbL5f+AptjYWDzzzDO4UYTqXfKd6qlfukGgX79+6NVLNtMxkQAJkAAJkAAJkICfEaAQ52c3nMMlARIggVxFoHRHILCIuCMaL8OShXEmEiABEhAC8YcOYePIkfjn9tvxVYkS+FkWDLeNH49ybdviVllE7H/8OG6aOBH1nngCRaKiMs4sj0yhu8mi7+nTGS/LEiSQAwR0wTskJCQHWvLfJkrVr4+7lywxotwqES5G1qqFneK60quSuNREtWqyI8HmVd3Kls6oS8qi9YHD03UHRrY04anSP/74Az///DNWrFjhKUu2nH/kkUfwiWwiuVxavHgxVJxPT8oj32/d5Pvt9MXvt5dffhkFChSAio2lJC5i165d0UHcN6vgdt1115kqQ0NDca1sdHlCvlMrVKgA135Z7evmgKZNm+LcuXPp6QrzkAAJkAAJkAAJkECuIkAhLlfdTg6GBEiABPyMgMYFKXsrkHBQFl5m+dngOVwSIAGLgE3cXB2UhcaFr72GMbIw+O0112D6448jURYSW7z1Fh7asAF9N21Cuy++QFS7dsirMZ2cF6Z1gfLs2dTntPL4eKuJ1K8i9EHFOP1hIgEvI5Ak1p7nxVKLFnE5cGPkM6D+k0+i79atiGjSBH/06IE/e/bE6d27M964CB1y42RfkWws0s8nPU5MTF2PWCRBPu9SfX7J/Yb+uCYtf/IkxAeg/3xWhbcXPiLyHFuYioYKPypO62uiMNVj/VHrLxWY9FjdJVrp4MGDJp/1Xl9VyDor3xM25++OixnmzJmDm266CZ9//rlzEcexu7LuzmkBq4+Owk4Hx2UTiXMqUqSIEcecz6mAdlLv+8W0d+9e3C6bUvQzwTnFe/h+OyTfbyrG6Y+VHhM3rL///rvhpOf69OmDffv2Yaa4d7aSim2dO3c2b5375dq+utHU+JWalIE7nuYif5EACZAACZAACZBALiNwaXaVywbG4ZAACZAACfgJgQKlgGu62xdd4rb7yaA5TBIggYSjR7H5xx8xSdyBfSO79Mc2b45N8v4a2W1/k1ilqNXbLWL91kAsBop++CHQXT4nNMmCKcS1HJYuNW9l5dR+/O67gObTNEuEfXGzhaeeAnr3viTIrV4N3Cri/9y5wDvv2PPyNwl4GQFd3NZEIS7nbkxwRAS6jxuH20WYOLltG0ZIzLgl8hmhrivTnfbvB6pWBYYNs3/mvPIKULmyvbiKcy++CKxZA/H/B2zZYj///vuAuA6ECIDms8xq7KuvgGefBaZMAX75BaJ8WFdy92u+wkDJ1sBREeKSL1ksTxEOaiG6VD73VWhS660BAwYYsU3dKnbp0sWIbFuEq57fKsKqnlu/fr3hpQKbln1Xvic+tL4nLpJct24dateujf79++PXX3/FgQMHUjF2V9bdOe2Hum0cO3YsXhJXyvfcc4/pk1a2Wr57tH4V/FpJHNOVK1fixIkTcoufNdZrmkdFxQceeADan1fk2bEs5bRMjMRG/frrr801dS+p7bwvz44KZ0vEqlOTtnGrfL/Nle+3d1y+33rL96DWr+PTpFzUOm6YPquSjsr3sVrFaUxK1365tq/5Vfh84YUXjIvKWmJJqu+ZSIAESIAESIAESCDXE5AdSEwk4FsE4nbZUta/YbMln/WtfrO3JEAC2Usg5g+bbfMHNltibPa2w9pJgASuDoGUFNvBZctsi9580/Zj48a2j/PksX2aP7/t1w4dbMs//th2fNMmz/0aPtxm69jx0vXwcJtt8WL7+xo1bLb9++3HM2bYX/v2tdkOH7b/1Ktns40aJZ8tiTZb5co227599jxz59psoaH2Y/4mAS8iIBY+tlOnTnlRj/yrKxfks2LpoEG2L4KDbUOrVLFFT56cfgBdu9psQ4bY88+bZ7NFRtqP9fOqe3f5+yfZZtuzx2bbvt1mW73aZpPPPvNZtWKFzVawoM124oTNtmSJzdas2aU2+/Wz2R566NL73H6UIoy2fiGf1eNTjVTcKNp+++03c+6jjz6ySZwyc3xYPuu/+ELyS/r2229t33zzjTkWMcz2f//3f+a4hnxP7L/4PTHD+p4wV2w2EcNsIn6bdzVr1rSJK8eLV+wv7sq6Oycx2GxfffWVo6zEYLNJ3DVbQkKCTfOLBZu5Nkq+j4YOHWqOx4wZY2vRooU5jo6OtvXs2dMci1Bnk7hu5lg/C2RRy/GZ8Nprr9k2b94sj81h2+uvv2674YYb5OstUb7eKsvXm/37TcQ4+XpL/f0mwqCjrb7yHTl69GibuKy0iZWeTYRFm7jlNO3pL+d+ubb/008/mfFom5qioqJsYllnjvmLBEiABEiABEiABHIxgS9pEZfrpdbcOMCLMQ4C+PjmxrvLMZHAFRNQqzjdCb1PduvaLrkXuuL6WJAESOCqEzgnO/63SNydKeIG6xuJdSQCHNYNHYpS9eqhp8R8U6u322bMQMPnnkPxGjXS7q+zRYjzca9eEPMI4PvvIYFvIKYGwJ49wLx59h+1ShHrFgn+Y3f/Fhlpb0dfnetJu3VeJYEcI6BWKWqdwnR1COQJDETjgQPxwObNKFm3LsZffz3+ECu2Uzt2ZLxD1meMxKODursUy1+oe0q1lJPPRogVlfmsknhdGDPG7s5SLeBatrzUVtmy/vVZFSCuOCM6CxuxZkuIcXBQ94ojR440748dO4bZs2cLyiPGAk2tzzRpnh5iXShCErZv324svfS8iHbGiu57+Z7Q+GhWUheQalGm9YqIhvLly8tXyfcQ8czK4rasu/r++usvVK9e3VGuffv2mDx5sqlfrc8KFSpkrqlbSBHCzLG6ebSSxmZTizV1IakuI9VKzTlZ7iD//PNPbBB3zfPkO65OnTqmLo1tpy5tIy9+v+mrld+qQ9tduHChGIzPQsmSJXHbbbeZPqkF3/Llyx3x4jS/c7+s8s71hYWFITAw0FwqU6aMuQ9WPr6SAAmQAAmQAAmQQG4lcGnmlltHyHHlPgKOBXYKcbnv5nJEJJAJAgHyB305cSG38wfg4CRxVylumphIgAR8i4DE3jkirtd2yeJjtLgSO6gus2QhukyLFkZsqygL2iVk4TBLk7rgksVy44pSFs7Fz5d9MVtdUFpJ4grJaqjEojysAXyAggWtK3wlARIgAbcEQkQA6yGiyF4RLmaLm9sR4oKvobi8bfrqqwgsLBuHMpJUtBCxQ3wOAq3F9eLEieKS+xggmxKMu1yrLv18UneY4oowVbIEvVQnc/GbEBG0gqNkPjgVqPiQGeidd94p3j1fxPz5843gdPPNN0Osy0ycsuLFi5s86sJShSU9r0KcuovUpK4axcJMviaegViTOWLBiWWacfGoIpimjh07GkFKhbxHxC2yJndl3Z3TmGxatyX0VatWzYhh+fPnx9q1a41QZolX6ibSOYabtqPCm7qQVFFQy3722Wd62pFUCNM4eOqmUt1bhsvmFitNmzZNvt4Om/h0BT18v2m/rpH4q3eJO+jp06fL12BB3H333Rg0aJBxdWnV5enVWYhzzZPWNde8fE8CJEACJEACJEACvkqASoav3jl/7rclxOluRyYSIAEScCaQPwyIvBk4KXGcToj1ChMJkIDXE0iUhc5tslj9r+zw/052xo9u0ACrJZZNcYmVdINYfPSXxebeEuNGLUyuWITTRVa1DhChT1ZdxUpCrBUSE+1shgwB7rgDWLQImCQifrt2kEA6wPDhkFVL4NQpiJkBZOUSKFIEkLhzJp0+bbeQ83rC7CAJkMDVJFBOLJv6yAaDth9/jLXyeTNMPts2qfWafh65JrEUMp9Vel4t36wYc/rZJBbC+PRT4K23ALEERs+e9vcau1KTfoaJpRNuuQVi7mW3ltPz+lllfd7pe39JpbvIZ/0Bu2WcjDlYYoOqiPTQQw+ZWGpq/faWsNRYcFbSuGkN5DtIrUoPHjxo4qLptSFy3+6Q74lFwniS3gtJakG2bNky0UVbo6yIrvqjFm0q+KkIpqKXJndl3Z0TF5HGSs8Ukl9r5Jm5USwpmzVrhqJFi0JcXhrRcLdYRk6YMMFk0zasdn6W70txX4ly5cqZOHjWeRXyNJ0TkVbHpe2ooCguJc34RowYYdooIt9vUy9+v52WZ0bH55xU+Lv99ttRunRpY0mn19QyT2Pi6Xnn5Nwv5/Y1j/M1d++d6+ExCZAACZAACZAACeQmAnnflJSbBsSx+AGB87KQFrsRAeHt/WCwHCIJkECGCRSQRSzd+X14JlBYdigHhma4ChYgARLIXgLH1q/HBtm1v0AsQ2Y++aQR4vLJ7vqasrteF6vbfPQRKosrsDBxCZnXw+78DPVQrRXEbRh+/BGIi7NbksiiItq0AdQlWXKyfdFaLO/EnMEuuPXvb8+/c6fdWq5AAcgKJDBgACD9F3MJscCVa+IyzFjUZahDzEwCJOBPBALk8yaiSRPUFRHozP79WPj669glgk6YuNQtIsKJIxUrBoj1HFatgqgvgIpstWvbRX9xwWvO7dsHUZIAdVc5Zw6g51V4K1HCLs6Je0RRceyCnVr56ufUoUNAo0b2zytHY7n8QN2VJ4sIqRuzwhrK3DCvEcvUqqxTp05Ql4hbtmwR3ML7YlJXk++9955xlajX1TquYcOGRgST2IvGQk5ishmLs0cffdSUVxeS6mpRk1qlqTtJdd8oceOMddu9994rXzGXytYTK0a1JHM9p1Zq48aNM3XsEDemGzduNNZmEofN9FviuYkO+ykkjpux7FP3mhLbDkuXLpWvsjYOKzh1E6mioCUYtm3b1oh6auVXpUoV0ycdo4qOq+X5UstAtehTgW2AfL+tl+83tQbcKc+NusRUS0ArFZPnU3+aq4tUSREREdi2bRskvp2VxYiAzv3SulVU1PaV6S/iOlX7rPdARTwdk8SCQffu3d26tHRUzAMSIAESIAESIAES8G0CywI0AJ5vj4G99zsCsRvE3YrsAqz1ut8NnQMmARLIAIG9PwPx4pqpkrgkCpTFLCYSIIGrRiBJxK89YsGxS9x+Rcsi5RlxjRUkMWYqdO2KCuJuMqpzZxS86BosWzsp1gIICrILb1ZsHXHxZSxGQkIg5gKXmlerORXo9LxzUisBtS5RgVBFfxX0mEiABEggAwSOidXtbBHQ9HOxqliwtfngA4RWqmSvQd1LqhWT/pmuny/6OaOfU/qqFroq1jkndVGpn5+un0VqCacuMPVz7KJVlHMxvzi+cBbYNliEuKYiQrY1Q1YBzIph5nxs8UiUz3fLisu6rq4g1UosRL4P1KosI8ldWXfnrDpVnFJXjSpyOSe1JDt79qwYZhdxPp3qWK3YdGxa3uq7lUGt5YL0+0+SLgGpRVwJFW+dkpbX8avbSa3D1f2lZtX4d1a8On3vXK++95TSm89TeZ4nARIgARIgARIgAR8nMJhCnI/fQb/s/qm1wIGJQM1X/HL4HDQJkEA6CaTIQvmu4faFrIoPygKVWLMwkQAJ5BiBE2KJYQlvMRKTJ0UWP0uLZYHGeVPxTY/NwnKO9YgNkQAJkIB3EYgWq7i5L7yAU2J9VF+scJu99hoKqCUcU9YROLZQ3HzOBar2B/J5FrGyrkHWRAIkQAIkQAIkQAIkQAL/IUAh7j9IeML7CWjsp0P/AjVe8v6+sockQAJXl0CS7AaP/kEsV8SdXPm7pC+ym5yJBEggWwgky277veIebZdYvKnVW6zEsSkkVhpREn9HxTd9LSRWcEwkQAIkQAKXCNhkk4LGjlv0xhuwieVV01deQb1+/ZBX3eEyZZ6Axhff/rVYQ0fa4whnvkbWQAIkQAIkQAIkQAIkQAIZJUAhLqPEmN8LCJxYLrsa5wDVX/CCzrALJEACXk8g4YBYxo0QV04NJJhFN6/vLjtIAr5E4JTEsVHRTcW3fXPn4sL58yglcYuM1Vu3biYmUkAG3Xj50vjZVxLwJgLqum7JkiUSUqw2QkNDvalr7Es6CCTGxmLpoEFYJXG/dNNCi7ffRi2JL/Yfl5PpqItZXAic2QLs/QWo2BcoJIIcEwmQAAmQAAmQAAmQAAnkLAEKcTnLm61lCYGj8yU+ggQgr/JkllTHSkiABPyAwOlNwL7fgPBOQAl7gHk/GDWHSAJZTuCCxC5Swc2yejspQlwBWfDXGG8VRHirKD9BpcUClYkESCDHCcSKkLNmzRo0bdoUBWhNleP8s6rBsxIjbOGbb2LD8OEIq1kTrd5/HxW7d8+q6v23nt2jJNaexPisKLGDmUiABEiABEiABEiABEggZwkMzpez7bE1EsgCAinnZWdowSyoiFWQAAn4DYEiNYHSXexubQMlPkhobb8ZOgdKApklcFpcTFpWb+p6MklcUJasWxdVb7nFxHor07w5AvJxSplZzixPApklEBcXh8DAQIpwmQV5lcsHX3MNOouryobPPov5L7+MCTfcgMiWLdHy3XcR2br1Ve6dDzdfuiuw83sgdp3MA+v68EDYdRIgARIgARIgARIgAV8kwFUTX7xr/t7nC+cgQRP8nQLHTwIkkFECYU0BjRm3/08gXzAQXCGjNTA/CfgFgZTERMTMn28X36ZMwfHNm5E/JATlO3RA+88/N5ZvhSPp2ssvHgYO0qcInDlzBiHyf5UpdxAoXr06ek6YgIPibnSBxI37uU0bRHXqhJbvvIPSjRvnjkHm5CgKhoub8vqyKWsmUKSGhA0OzMnW2RYJkAAJkAAJkAAJkICfEwiwSfJzBhy+rxGI+R0SyRwoe7uv9Zz9JQES8AYCMeOBM9uBCvcDBelCzxtuCftw9QnExcQ4hLc9M2YgUSxrwmrUsMd6u/56RLZqhTxiacNEAiTgvQRWrFiBsLAwVKjAjSbee5euvGf7xCJ5vghyBxYvRuWePdFSYsiVEOtkpgwQuHAW2DYY0M1ZpdpmoCCzkgAJkAAJkAAJkAAJkECmCDBGXKbwsfDVIbDnR7FmEddyZXpcnfbZKgmQgG8TsF0A9vwEnDsscUIeAPKH+fZ42HsSuAICtuRk7F+4ELvE4k3dTh5dvx6BQUEo1769Q3wrUr78FdTMIiRAAleDQEpKChYsWIAaIqCXLFnyanSBbeYQgehJk7DwtddwROIBVr31VjR7/XWUqE2X2+nGf2whcGQuULW//W/KdBdkRhIgARIgARIgARIgARK4YgIU4q4YHQtePQLRQ4GgchLvqfPV6wNbJgES8G0CtiRg12ggWVxVVugLaNw4JhLI5QTOHjyIXVOnYpcIb7unT8f52FgUq1LFCG8V1epN3J7lLUDXz7n8MeDwcikBdUu5atUqNGnSBAULMpZyLr3Nl4YlTm22i9vKRWIVd0w2UlCQu4Tmske6IWvH10AhcbEcefNlszMDCZAACZAACZAACZAACWQBAQpxWQCRVeQ0ge3yh1NR2fVZsk1Ot8z2SIAEchOBFIk3GT1CXN3KgoxaxuWVuHFMJJCLCNguXMDBpUvtLidFfFPrCRXayrZta7d669YNRStXzkUj5lBIwH8JHD16FDt27ECzZs38F4I/jpyC3JXd9TNbgL2/yPzvIRHkylxZHSxFAiRAAiRAAiRAAiRAAuknQCEu/ayY02sIbPlQfPq3A4o38pousSMkQAI+SiA5TizjRIzLI7Gvou4TMa6Qjw6E3SYBO4EEWYx3WL1Nm4aEEydQVOJFVRCLN7V6K9uuHfIV4nPO54UESIAEchUBF0Guys03o6nEkytVv36uGmaWDmb3KCAlWcQ48YzARAIkQAIkQAIkQAIkQALZS4BCXPbyZe1ZTyAF2Ph/QLneQEj1rK+eNZIACfgfgaRYuxiXN0jcVPYRUY4uvfzvIfDhEUtcqEMrVjis3vQ4T2AgIlu3RkWxeFMBrnh1fl/68B1m10mABEgg/QRUkPvjDyx5910cFlelugFDBblrmjdPfx3+kvPcIWDnELt7ylDG2POX285xkgAJkAAJkAAJkMBVIkAh7iqBZ7NXSiDpNGxbP0VAJXUjIn79mUiABEggKwgknRQ3lSMlVlyIWMbdK2Ic42RlBVbWkT0EzomV2+5//zXim77GixVckbJlUUGEN110LdehAwILF86exlkrCZAACZCATxDYNWUKlrzzDvYvWoRyYg3d9NVXUa59e5/oe451cv/fwNlooEp/ICBfjjXLhkiABEiABEiABEiABPyOAIU4v7vlvj7ghP2w7fwBAdWelgXzor4+GvafBEjAmwgknhDLuJHy2RJ6UYzL7029Y1/8mYBYOBxZvdpu9SYLqxr3DQEBKNOihT3Wm4hvJWpzN78/PyIcOwmQAAl4IrBv9mxjIbdn5kxc06QJGr/0Eir37Gm+RzyV8Zvz6qJ8+2CgREuJP97Kb4bNgZIACZAACZAACZAACeQ4AQpxOY6cDWaOwJmtsO0Zh4Bar3LXYuZIsjQJkIA7AonHL4pxIvRH3UPLOHeMeC5HCCTGxmK3xHhTi4Zo+Tl76BAKR0Q4rN7Kd+qE/EWK5Ehf2AgJkAAJkIDvEzi4ZAmWDhqEnX//jeLVqqHRiy+i5j33GHfGvj+6TIzg6Hzg2AKxinsSyEdr8kyQZFESIAESIAESIAESIAHPBCjEeWbDK15J4ORK4NAMoMZAr+weO0UCJJALCBgxbpSTm0rGjMsFd9UnhnBs3Tojuu2aPNm4EoNYwkU0bWqs3tTlZMl69XxiHOwkCZAACZCA9xI4sXkzln34ITaPHYug8HA0fPZZ1H34Yf91aWxLFqu4r4DgCkAZsRRkIgESIAESIAESIAESIIGsJ0AhLuuZssZsJXBkDnB6I1C5X7Y2w8pJgAT8nIC6qdwtYlzeILGM6yOvhfwcCIefHQSSzpyBugqLFuFNLd/OxMQguFQpRHXtasS3qM6dUaBYsexomnWSAAmQAAn4OYE4+c5Z/sknWP/DD8iTPz/qPf44Gjz5JIJKl/Y/MrEbgJgJQKVHgIJ+OH7/u+McMQmQAAmQAAmQAAnkNAEKcTlNnO1lksCBiYAukOvCOBMJkAAJZCeBpFPiplLEuDwSK66CinHB2dka6/YTAsc3bTKim1q9xcyfj5QLFxDRqBEqiMVbhW7dULphQ8bt8ZNngcMkgawiECuubENCQpAnT56sqpL1+BGBcydOYM0332D1V1/h3MmTxl1lw+eeQ1jNmn5EQYYaPUy+f/PKnO9+/xo3R0sCJEACJEACJEACJJATBCjE5QRltpGFBPaMFd/9shheplcWVsqqSIAESMADgaTTdss4BMgGgHvFXWWoh4w8TQLuCSTHx2PvrFl2qzcR32L37EGhsDBEdemCiiK8qfVboRIl3BfmWRIgARK4DIF4+YxZvnw5GoqIHxzMDSOXwcXLaRC4cP48No0ejRWffooTW7eazSGNnn8eZdu1S6NULrqUsF/EuKFAud5ASPVcNDAOhQRIgARIgARIgARIwAsIUIjzgpvALmSEgPrvL1oHKNkmI6WYlwRIgASunMCFs2IZNwZISbBb4+YPu/K6WNIvCJzavt0Ib+pyMmbuXFxITER4gwZmUVNjvUU0aSKWlrRc8YuHgYMkgWwmcPjwYWzbtg2tWrXK5pZYvd8QkPikOydOxIqPP8a+efMQXr8+rnvmGVTv3du4sMzVHNQ9ZUKMPQyCWscxkQAJkAAJkAAJkAAJkEDWEKAQlzUcWUuOEdj0DnDNjSLGXZtjTbIhEiABEkDKObGME4tc4xpXLOMYP4QPhROBC+fOYd+cOY5Ybyd37EDBokVRvlMnE+tNXU4GhYc7leAhCZAACWQNgZ07d0JdUzYQsZ+JBLKawCGxtlz52WfY+ttvCCpZEvX79UPdRx/NvZbc6glh+2AgvD0Q1iyrcbI+EiABEiABEiABEiAB/yVAIc5/770Pjjz5DGxbPkFAxQeBoHI+OAB2mQRIwKcJ2JKAPT/LTmlxXVTuDiA4yqeHw85njkDsrl3QOG+7pkwxrieTEhJQsm5dI7yp1ds1zZohIF++zDXC0iRAAiRwGQJr165FUFAQqlSpcpmcvEwCV04gLibGxJBbO2QIdPNJjXvuwXVPP50748gdmQ0cXwpUHSDxgYOuHBpLkgAJkAAJkAAJkAAJkMAlAhTiLrHgkdcTiN8LW/RwBFR/VuLEFfH67rKDJEACuZCA7QKgbovObAUibwaK1MyFg+SQ3BFIEfeSMeKiK1qENxXgjm/ZgvwhISjfsaPD6q1wmTLuivIcCZAACWQbgYULF6JixYqIiIjItjZYMQlYBDTu6cZRo7Dy889xQlyiRonld/0nn0Sl7t1zj8tl3Xi17UuZ40mcuAgZFxMJkAAJkAAJkAAJkAAJZJ4AhbjMM2QNOUbg1DrgwN9AzVekyYAca5YNkQAJkEBqAjbg4FTgxHJZoOkKFG+c+jLf5RoCZ/btM6Kbim97Z85EYlwcStSsiQpi8aZWb2VatkSewMBcM14OhARIwLcIJIgl7rJly4xbyhDZGMBEAjlGQOLIqUX4qi+/xO5p0xBaoQLq9++POg8+iPyhoTnWjWxr6NQaYL/83Vn5caBAyWxrhhWTAAmQAAmQAAmQAAn4DQEKcX5zq3PDQI/OBVSMq/JkbhgNx0ACJODrBI4tAA7PBEq2Bkq18/XRsP9CwJacjJgFC8ziolq9Hd2wAfmDg1GufXsjvmmstyLly5MVCZAACXgFgaNHj2Lz5s1o1aoVAgK4Sc0rboofduLk1q1YNXiwsZSDCHQ1+/QxbiuLVa3qwzRk09XOH8QLi7imLH+PD4+DXScBEiABEiABEiABEvASAhTivORGsBvpIbD/L0DixPGPofTAYh4SyDkCsiFf4tPkXHve1NJ9PdeiQP5kDPntOm/qFvtyhQTKYA2eRn0cQ1VsxvXYIj/RaI1kFHBbY1QUIKHimEggVxKIjY3FmjViFcJEAn5KIE+ePKhTpw6KFi2a4wT++Qfo0SPHm81UgwVxGo0wAi3wFebgBSzBI5mq72oXbt1wD+7uvh7937seSUl5rnZ32H4OERg0CBg4MIcaYzMkQAIkQAIkQAL+RGBwPn8aLcfq4wQSjwMFS/v4INh9Esi9BK6/JQVRlXLv+NyPrI45/cSLKe4v86yPEaiLfae2I7loRURKz/XHnv57f1ctFW/Ju7kwZxHia+4lUK1aNeTNmzf3DpAjIwE3BOIlFtru3buxfv161K1bF6FXyd3iI8+mIJ/P/MVeWEg+idO2/rhOYuo2yPPf7043qL34VFmsTSiLh5/RLvr6WLwYsxd1bewQtSymdbEX3RJ2hQRIgARIgARyFQGfmdbnKuoczJUROH8MCLUvel9ZBSxFAiSQnQSq1LChXqPsbIF1k0BOEKggjYhLqsukI4cCRIi7TCZeJoFcQCAsLAyBjIWYC+4kh5ARAmoRqqlYsWJGjFPLuKshxjVsZkNg/oz03Fvyqnh/+e9Sb+kt+0ECSmD8aIpwfBJIgARIgARIgASyjwC3cmcfW9aclQQunJXYPfESLLtEVtbKukiABEiABEiABEiABEiABEjALQG1CC1evLgR4yxxzm1GniQBEiABEiABEiABEiABEiCBNAhQiEsDDi95EQG1htNEIc7Ogb9JgARIgARIgARIgARIgASynUDNmjUpxmU7ZTZAAiRAAiRAAiRAAiRAArmbAIW43H1/c8/ozh9FQN6CQL6Q3DMmjoQESIAESIAESIAESIAESMDrCVCM8/pbxA6SAAmQAAmQAAmQAAmQgFcToBDn1beHnXMQUIs4WsM5cPCABEiABEiABEiABEiABEgg5whQjMs51myJBEiABEiABEiABEiABHIbAQpxue2O5tbxUIjLrXeW4yIBEiABEiABEiABEiABnyBAMc4nbhM7SQIkQAIkQAIkQAIkQAJeRyCf1/WIHSIBdwTENSWCK7i7wnMkQAIkQAIkQAIkQAIkQAIkkGUEAgMDUahQISxatMhjnWvXrkWLFi2QN29ej3l4gQRIgARIgARIgARIgARIgASUAIU4PgfeTyDlPGyJsQgoUNL7+8oekgAJkAAJkAAJkAAJkAAJ+DSBoKAgqPVbQkKC23HEx8dj9+7dSElJoRDnlhBPkgAJkAAJkAAJkAAJkAAJOBOgEOdMg8feSeDcYXu/Cpb2zv6xVyRAAiRAAiRAAiRAAiRAArmKQOHChaE/7lJsbKy70zzn4wSOHIrGP7++i5vuegvFS0R6zWim/vkZAvMXRIfrH/eaPrEjJEACJEACJEACJEACGSPAGHEZ48XcV4PAuUMIyBcEBBa5Gq2zTRIgARIgARIgARIgAS8ncP78eWOddLluXrhw4XJZ/nPdk1XUfzJm0wm1vrJScnKydZjtr5dry7lf2dmZy/UjM23n1Bgy00eWzTkCe3auwoKZoxCzZ33ONZqOlubPGIFFs8ekIyezkAAJkAAJkAAJkAAJeCsBCnHeemfYr0sEEg4BtIa7xINHJEACJEACJEACJEAChkBSUhIGDx6MsLAwHDt2zCOV1atXo3Hjxvjpp5885nG9sHjxYlSvXh3Dhw93vZSl71Vouuuuu/5T58GDB3HPPfege/fujmsak+z33393vM+Og8OHD+O+++7Do48+6rZ6FTNfeeUVfPfdd6hduzb0HmRX+vjjj3H33XdnefXu2GZ5I6zQ5wg0anErvhxzCHWv65buvp+OPYr1q6amO//lMrqr7/WPF2PgOzMvV5TXSYAESIAESIAESIAEvJgAhTgvvjns2kUCYhGHguHEQQIkQAIkQAIkQAIkQAKpCAQGBuKhhx7C2bNnU513fVO/fn0UKlTI9XSa75s1a4bKlSvDZrOlmS+zF//44w/8/PPPWLFiRaqqIiIi0KlTp1SWfuPGjcMNN9yQKl9WvwkPD0e1atU8jvuXX35BgQIF8Oyzz0KP9R5kZZo2bZqjukceeQSffPKJ431WHbhjm1V1sx7fJhBSpES6B5AiovT3n9yDY4f3pLtMWhk91VegYDDyF8jY51da7fAaCZAACZAACZAACZBAzhNgjLicZ84WM0QgBTh/BAhrkqFSzEwCJEACV4vA6mX/4KjEGClQsDDadO6LhPgzxp3QhQtJCC0WgSatbjddu3AhGZvXz0aegDyoVL0Z1iybiEP7t8r13ihdpqrJs2X9HOzctswcl6tQF9VqtcHcaUORmJhgzlWu1hTVarfGiWMxWLbgV1mkCUL7bo+Za4nnE7Blwxzs2bkaefLkRfN296BYWBlzTX9t37wIF5ITEVG2BhbOGo3qtdugYtXGpi4dg9azdcNcrF89zZRr3fFBLgI56PGABEjgcgTUVaSKNRpLKzQ0NFV2vZYvXz5jSVWwYEFz7dy5c/JZlQf58+c379XKSvNpCgoKQkBAgBHbtJyWUXeRlrCWN29ek8/5l1ptqdVTZOSlOE9a1kqnT59GkSKp3Z5bll3OwpKW0bazM82ZMwc33XQTPv/8c/z444+pmnLus16oWLGifAckpsqjLLSPFkvronUP0jtWLadl1F2jMtX74S6tW7cOISEh5pIKdlpGmWkftG/6at1HvQ8qZOo5vcfBwcGpqoyLizNl9VnRpILkDz/8gM6dO5v3eo9cx6X1aTmrDyaj/LLGq9f0mXHu/+WeB6sOvno/AU/zF+35xjUzEC3zpqDCxdCk5e0oXCQs1YDOJcRh0ZwfcfzoXoRHVJF5TyNcE1kDeS5+hqSkpJi5T4FChVGxSiNH2dOnjmDtisk4HXsEpUpXRPlKDczc6PtP7sWmtTNRJLQk5CFH/cY3omjxCJyNO4kl8342Md3WrZyCfbvXo2uvZ+X/VT6Z623Dzq1L5dw6VKnRHNc1u8m0k5R0XkQ99/Vp+2uWT0LrTg84+qQHu8WV5raNC+T/XTzKV6yP2vU7m/9rVqbjR/dh5eI/0PGG/jiwbxNWL/0bYSXLoWmbu1L9/7Dy85UESIAESIAESIAESCD7CLj/6yr72mPNJJAxAuePwZYisTAKlc5YOeYmARIggatEQBdh5k4bhr9+ftv0oFBQiIhg9+KPn97E9H++NOd0gWbIZ33wyRvdMH/mSIz86hFZlFmMWZO/xaBX2iPuzAmTr2qt1lg8Zyz+HPcWal3byQhhtet3woQfXzOLOCrCaSpeIhIHY7bIAmcx814XmgY+Vk0WQguh+y0DoaLfuwNbQcW5Y0f24LO3b8R7L7XGyiV/YtTXj+OvcW9j0vgPpa2f8NqAevhlxAsY/V0/s1gVI4tHY4c8ZfqVnJx97sdMx/mLBEjA5wmoCNK/f380bdoUL7zwgnlt3rw5tm7dik2bNqFly5Z4/vnn0aFDB9x8881GqOvXrx/Gjh2Ll156ybhiVOu248ePo1WrVrj11luNuKMimbppVHeRmtRaTV0juktDhgzB0KFDsWDBArRr1y6VRZmKXrfddhuioqKMJZ1V/v3338d7772HHj16GEHMOp/drypqqXtHZfbrr7/iwIEDHpvcuHEj1DXlt99+68jzxhtv4LfffkPbtm3NtXfffRfR0dFQ5o8//rhhXbduXXz99deOMp7G+tVXXxkrtylTphhLNxXPXNOff/6JuXPnYuHChfjyyy+xbds2VK1aFcOGDTMCnrqsVCtCTRMmTEDp0qWN69AHHnjAiKL79u0z1/Q50edALeqeeOIJfPjhh0Zc1TJ79+7FBx98YIRUtbrr1u2Sm0AVK3WM+ry0adMGa9asMQLcU089ZVyPaj16D9u3b2/a0V9pPQ+OTDzwegJpzV+SkxIxQuZScaeP49pG3aEbmf73RE3s37vJMS6de735bCOUKVcLPW5/RYS1SWbO886LLfDT0GdN3m8/uhMfvtYJe3ascpSLjzuFT9++Aeq2sluv54ywpbHkkhLPoU6DLiZfUdnoFCGbqHTetUA2Nz37QDn89MPTmDHpa/w++hX5edkIYdP+/gIjv3ncbI7q2L0fxg1/HrOm2D/H3NWXL19+E7Nu4GNVMX7MK44+6cG4Yc9hsszd6jW+AXXqd8GvI1/CB692NAz0um6qekvGO27Ys5gxcTD+/eszM3f84fP7MXnCh5qFiQRIgARIgARIgARIIAcJ5MnBttgUCWScgLilDMgju5cLyC5DJhIgARLwEQLXiJWZc1IxLjzCvjCp54Nlp/ZDA+wxh06dOIiHnh6Jux76DPf3/x6xJw9hx5ZFprju5tddzMmyS1p3TmuKiKwui0w3YG/06lRuw04c228WiTSP7niOPXnQWLvpLm9dpNHd3zF7N6BEqfK46+HPNBu2b1qI/i/9ho+GRuP+ft+hWdu7cG3D683iki4QPfjkUDzz+j+4URasdm1fjvkzRphy/EUCJEACnggULlzYiECnTp2CCj4qHpUqVQrff/89atasCXV7ePLkScyePRtjxowxYp2e79u3Lz799FPExMTgtddeMwLORx99ZMqrtZVaWKlgpcKaJhVi3MVV02uTJk1Cly5dcMcddxhRZ8eOHXrapLJlyxrhSmPGqfWZCkkq5mj9Kly98847+N///mf6aJXJztdRo0bh3nvvNeOqUqVKKsHMtd1atWqhRIlLbvNUlNSfPn36QOtZvny5EbfUak6Zauw5jbGmQt0333xjqvM01qVLl5r4eSrYKVcV8tylXr16QfuhQuuAAQNMO9qWJrV269mzp+O7SYVWtZDTcY0ePRoPP/ywEew0rzLWmH1631999VUj0qqFo7rirFChAgYOHAh1H9mgQQMjtGmZ6dOnQ4VAzf/YY4/h9ttvxy233GIsezSO3v79+6Gi7qxZs7Bnzx7z7Gi5tJ4Hvc7kGwTSmr/MmPSVsVBr0ro3ylW4Fnf2/UQ2NR3HzyJ0WWnKhI/NfKparVbitSBY5jYvm0tN29wpc7BPRaCriR69X7WyO14XzR0rVpmFUVCs5HROdcu975gNTkHBoahQpaHJF1GmOqrXaSuWeEXRsn0fNGjWSzYAXECx4tfg7S9W4b2vN6BsVF3MnPSNaUdF7hLhUdLXelgrlm6a3NWnFn0tO9xnNmOZTBd/LZw1BvOmD5e52/cXLfTqo9/AX4w1309DnzG5dGNYq04PmuPI8rXRd8AwPP3aX8ZybsWiCc7V8ZgESIAESIAESIAESCAHCFCIywHIbCITBBIkPpwR4fioZoIii5IACXghgcD8dnds6uJIXRVpKlPWvpiproSs1LT1nWbxZ7EsBFkpKKiIEdY2r5tlTu3cugSVqjV2uFZq0voOvDN4HUKLhhtRbeuGeSbf4QP2xeiisjCkqa6IbrqopC6VrJgoujil/dEd41bqfutAWejMK+6P7PVY5/lKAiRAAu4IqKilgpG6VdQNBSqWTJ061WRVN5Uq5OhCdFhYGP766y9Ur17dUY1aMk2ePNm8V6s5FXdUSFm1apURbqyMWoera0nrmtaposxPP/1k3CEeOXLEumSEI31Tvnx5NGzY0Ag76g5RXWjOmzcPu3btMgKhujnM7qSC5JIlSzBy5EioNZr2SQVLdTXpKTm7qlSXk2pRp64a1QWnlrfcaupryZL2jWxqlbZlyxZTpaexqmWaWitaSQVLdxZx1vW0Xp3LaT8s8dC5H9qeWvFpUuFNGVjJubzzePW+qitMK+mzotZ/mzdvNs+auqO0XF+q4KtWmJrSeh6suvjqGwQ8zV/U2mtP9BqM+a6/+Zn0+yDj5vvsRQ8DOrojh3biTOxREePsrl3LRV1rXHqfOHZpzhUYaHeR6kwjokw1bJX5z/ef3iuuKY+iZHgFhztJK5/zM6vnrH7Wb9LTZNFNVJpeem8Wbrn7/8yxWutp24cPbDfvnX+51pcvML/zZUz75wuzMUvFOyupW/MSpaKweO5P4hb9tDmtFnqarPb1WDeLnZDNWUwkQAIkQAIkQAIkQAI5SyBPzjbH1kgggwQS9otbSvuCcQZLMjsJkAAJ+BwBFbtMkkVVK+kO7GZt7pY4bmPM4tHJ4/vFOiAeJUXAsyzUNG5c6059rSJm4buIiHATxr6BqbI4FVHWvgBks0ncTUkal868Wu2Zd55/FZDYc8XE/eWZ2GOeM/EKCZAACXggoJZOKpy5SyrUqZBiJRVarEVofVW3hSpOqZCnVk/pSVpGBTW17HKNI+ZcXoUrFQ2PHTtmrPbUDab1U7RoUees2XKs7jPValCtyPRHLQJVhFNLwfQkFSpvvPFGY1E3Y8YM44LROS6auzo8jVWFx927d6cqYt2HVCez6I1yX7FihaM2FRP1R5Ondl2fFbW003Oe8luVp/d5sPLz1XsJuJu/qOtI9S7QWqy/7n3sK8fP+99swuufLHEMpkaddmKhmYBtmxeYc2fPnjSxcmvV6+jI4+6gRt32Jr7bkrnjMPDRKjL3GimCd2rBzvUZvNTP1MstGqs3evsy/Cguvw/GbDbWbCkX52bObbvW53xN/58c2LfZWOk5n9fjqrXsYrq6K/eUdK5p/V/zlIfnSYAESIAESIAESIAEsp5A6plh1tfPGkkgEwTkj/GEgyLElclEHSxKAiRAAr5PoF23R42LpZWL/4DGF+na61m06fwQVsj7I4eicf7cWRMnzhrp0cO78MbT16Fi1Ua48bb/oUTJ8talK3pNEteY6jKzZOkKV1SehUiABPyPgLpFtJK6odS4bFZKSbFvCtD3N9xwg3FTaV1T14kqLlnpvvvuM7HeVLjJKxa8VlLXkidO2ONpWovK+nr48GETQ03jh6m4pFZnzu1Z5fVV61D3iZYIpu81LVq0CBs2bDDHWqdVvzmRRb805t2yZcvQunVrqPWZ/qhl4J133onPPvtMXN9dcLTv3KSet67Fx8cbazIV7nQMlttOze/cZyu/nvc0VrVa1PukloGa1NpO3Uq6S9p35/urlo1Hjx41WdX60Nma0FM/VCTVWG8qwmpMwOHDh5s6CxQoYKwYrXadx6vPijLTcWtav3491A1njRo1Uo1Xr+k917bTeh6c+6ZlmHyTQICIsZpi9tj/z3oaRevOfdGl5zMY/W0/LF/4O/6QzUq39nlP4rx19VTEnFext/cDH+K5t6YgtFgEhg9+yMTVTVXITTzFVNcvvpkw9nX88+t7uP2+QWjYXN2qXvpMS5U/jfpUpFMX57t2LEfKxc8Jq2x4RBVzGCTXmUiABEiABEiABEiABLyLAIU477of7I0zgfNHYEuRBYAgCnHOWHhMAiTg/QTU3WNS4rks66jGFalUrSnU9dIhcWFUqVoTtOr4gCwypmDwe7eghcQjcU5/jntLFmqTUE9iyWmyLOGc82TkeOeWxSauyrWN0meNkpG6mZcESCB3ElDXkGrh9dxzzxlh5aabbjJuFDWm2T///OMQuj788EMjxKj4pIKSCjmvv/66A4q6srznnnvQu3dvxzk90NhiGuNNBZchQ4aYa/q+ePHiaNWqlRH4Bg8ebGKdffDBB0YoUtFNY6kNGzbMWJF98cUXKFeuHDp37mws9jQemQp4Kgaq20qNuaZWW//++y8OHpTNYVmU1OpN46Xt3LkT27dfckunYpaKWOpG8oUXXjDx8v744w8TP00FKO2PuujU/hw4cAAa+27QoEGoXLky6tataywGNY/G2VPO6vZS+60uOpWTumj0NNa2bduiY8eOaNSokbFCVCFSrQo1xp9z0n4sWLAA06ZNw8qVK80lvRcaz09jtmnbGidw5syZ5kfF0okTJxpBTK0atf9qede/f39z3zXun4qRzZo1M241NTbd3r178fTTTxuh9O+//zY8dDzad302HnzwQdO+xr9TV5uaNHbcoUOHzLi1DRX41MWpPj/ungcdnzNbUwl/+SSBQuKuW10yzp7yHRLPJ6Qaw6I5Y40rbz2pbreLFo+QWGlDEVm+Du6UuHC6selySWOx6f+f2vU64a3PV0It5GZM/MoUsyzXXAUxd3XqJikV4Zq1vVtcYtpdRrrOz9JbX8WqTXAuIU7ccdo3D1jt6fsQcTdeKryidYqvJEACJEACJEACJEACXkLAHpTGSzrDbpBAKgLx+xGQR/zhFyiV6jTfkAAJkIC3E6hdrzOWzf/VuC9q3PI2LFvwm7FoU3HubNxJs5NZF1A0JSdfsjg4c9ru+lFdJ7mmtl0fwbAvHjQ7svWaxnW7rmkv7Ny2DLXrd0mV/fy5eGPBtnbFZLGKa4yZk78110+dOAB14ZSSYre0iLvYXqrC8ubChWTj9kjjiGhasWgCqtVq7RD2zEn+IgESIIE0CKjbR3UJqFZVViw3FYuc3VBq8WLFihm3kyos6SL0vffe+59aP//8c0fsM+uiCjNqPaXpySefND/WNY31pu2qFZ0KgWr5pFYt/fr1M31SKzkVj6yk9ag4qG4bVcjTvJpUlFJBMauTuup0jolm1a8x3VSMdHZNOX78eOuyeVWRykoq2P36669QF41qwXb8+HGMHj0aKkCuXbvWyoaXX37Z/Fgn3I1Vxzxu3DhTjwppavGm/FxT8isxCAAAQABJREFU48aNjYDofF4t8VTw0/zKesCAAQ53kc5WZyrOOScVPPVe6DNgJRUVN23aZOrSPmksOeekY4mLizPtKSfrXumY9cdKZ86csQ5N7D93z4MrW0cBHngtAfUAoMl1/tLt5udNbLgPXu2I2/q8i0JBoVi19C+ZK5VCWMlypswsEeqWLxyPqEoNzNzruMRJCy1aWvKGmOv6Sz0AaLLmY3qsMdw2rpkulnNd5DMnCA2a9sS8afb5mlrIadq5dbFskLpfrPLWQzdPXerncRQuEmbyWPO+pfN/QZNWvbF311qJPTffbHTSa/p/xVN9GtcuPj7WzM9UULxNLPnWr5yCRXN+RIUqDU39KhbukI1Tt/V53xEz2IoVl2queea4jP+8ac8S/kwF/EUCJEACJEACJEACJJCtBPK+KSlbW2DlJHClBE5K3IgA0YqL1b/SGliOBEggBwio9zHxLoWmrW0oTQNWQzw8ojI2r5uNWVO+xcolf+Laht1k0chajAlARJlqGP/jq4gWES321GFERFZDgYKF8fuYVyRmyBacPnXELKwULX6N4w6WvqYqdm1bjl53vuE4F1KkBDQWXLVarRzn9KC4xHPbtHYm5ssu7oP7t+Lmu982iz1rlk00cU0Wzx2LfbvX4diR3bJDPD/Ky6KU5R5p7fJJ2LNrjZjRAZs3zDFx6HTBq9/AX03ZVA358ZvtmwOwf08AnnnajyFw6LmagFpmqYWRukx0dgmZnkGrtZGKYWr1ZIlllyunsdw8xXNz136+fGnvJ7TK6EKz82KzHqsQ5i4FBQWlyusujzed69Kli3GtWb9+fZQuXdoIVNo/fX+55Gmser+UkcXvcvVY1/V+aDkVxpx5W9c9vbq7F1Zdnsqo4KfuMDPSjjUeLZORcp76kJn/H57qdD6/bRtEGAVuvN0m98L5iv8eH9q/DePHvuZ2/hJV+ToTR3fFot+xYOYoqBVbRfEecP0tLzru98njMZg99Xu5Nsy8zpz0tbiY/ADbNy801m7792407zX+2pnYo0bAK12mKrZtWoCpf35mwKs7cJ0/9brjdWNdV6BgsLm+cvEEM89SgW3FovEy//tOLNbOmHmWCoEaGy5U5msnju3FmmX/mA1a4ddUQaPmN2PJ/J+xY/NicVV5M3Rep+1Z9TVo0hNL5o3DgtmjcV7EOt3QpUJfiVLlUb1OG9PfY0f2GDFv0vhBaNrmLrTt8rDp65YNczF5/IeIP3vKCIMVqzSCzvFmTv7GWNPJH9qoUrOFQ8z23yfr0shnTAxAs6YBaGkPtXfpAo9IgARIgARIgARIIPMElgXIzitZamMiAS8ksOM7IKQSEN7JCzvHLpEACVgExMMWZO0ST716QSymrLN8VQKnZSFHLdc06eJJYP6C5vhKf6nLJcudkVWHp3p1Z3SSWNbpIpEm/bq/kJyEfIH/tXCw6tLXUd88bsS3oRPOiTunfQgKDpXd4kWcs/BYCEwaH4Blc/Ngz27iIIHcSUBjhanFkroKDAwMTPcg1RWhWqFpvDG1ZOvVq1e6yzJjxgjMmjULX375pRHg1HqvRYsWxiVnxmph7ishcKX/P9LblhhookcPYMhvF2TukN5SzKfzpKOHo1EivIKxXnMmskGs2k4dP2DEJ417m3g+3ghUKpypq8rutw50zu44Vi8BaoWmm6TyBRYw8yLHRTnQ+ZV6HFCxLT0pIf7Mf6zwAqVeK2WkPs2rAqWKfpFRdbhhyoJ4ha8vPZpHNlgFYKD7R+EKa2UxEiABEiABEiABEjAEBqe9lZSUSOBqEbAlARIjDqVaX60esF0SIAESyDQBS4TTijIrwmkdriJcWvWqVYIlwmk+tQC4nAin+ZxTWMmyzm95TAIkQAKXJaCuHUeMGHHZfMyQeQLt27eH/jCRAAnYCeg8qUy5Wv/BsXvHSuPe+5Ohu43bRvVcYKUaddph2cLfrLf/eVURTlORou7DJej8Kr0inNbj7ApT3zuLcPo+I/VpXvWqwEQCJEACJEACJEACJOD9BCjEef898s8eJhyQ3YUpCCiUvp2F/gmJoyYBEiCBrCdwXnaI6+5vjVdSsFDhrG+ANZIACZAACZAACZBADhLYt3u9WK0dxFxxS1nr2g4IE9eO6p47Wlx+x4irye63vpSDvWFTJEACJEACJEACJEAC/kiAQpw/3nVfGHN8DAICJXB2YKgv9JZ9JAESIIFcQWDxnJ+wcfV0M5bfRr2ENp0fQrmK9XLF2DgIEiABEiABEiAB/yTQssN9OBt3Ekvn/4KffnharOLyGXeUrTrej5vueivDHgP8kyJHTQIkQAIkQAIkQAIkkBkCFOIyQ49ls49A/F4JOlUu++pnzSRAAl5LICXlggSOz+von+t7x4WLB5e7rtmSkiQ+W+CVxWdzrV/jcagrINd04UKS9Duf22uuefV9evvkms+1P+7qts6pZZv21Zmndc31VfPWua4rrm14veOSxkLJaMpImxmtm/lJgARIwBOB8+fPm1h26pY3O1NycjLy5cv+P6Fc23F97zrGy113zc/3/kXAee7gfOyOwuWuuyuT0XPObTgfZ7Se9ObXuVDXXs+gc48B0Bi6+fKlL+6l6xwsrfYyMo6snCu5tpuVdac1Xr3m2vbl8mfmek62lZl+siwJkAAJkAAJkAAJeCKQvX+pemqV50ngcgTi9wHBFOIuh4nXSSA3Ehg/4mHs2DTTDO30qQMY8kF7XEhOdDvUy123yWLLklnfYsOKCfjp2zuNy0W3FXk4efbMMWm/HRLPn8X2jTMw4rPuOH1qf6rcuuCxbtmv+OHDjjgXfyrVNXdv0tsnbXvaH69j4rhnHdWsXzEek3950fE+rYPNayZi2/qpZtwH961LKyusvH+OfgyxJ/ciqHBR8+MuJl1aFVn1KOvLtZlWPbxGAiRAAuklkJSUhMGDByMsLAzHjh1Lb7Eryvfxxx/j7rvvvqKyGSm0a9cuFC1aFOfOnTPFLtduWtcffPBBNG/eHI899hi6dOmCjh074oknnkCLFi3Qu3dvU39CQgJefvllPPPMM3j77bfx+OOP49NPP5XvzAvm+s6dO9G3b1/UrVvXlH3jjTfw3nvv4ccff3TLfMKECbj//vvx1ltv4ZVXXsHDDz+Mw4cPZwQB82YhgdWLx2LahNccNTrPsxwnnQ4ud90pa4YPD8VswLjv7sLenYtNWed5VoYry0AB3US1dukvGPVFj3SJcKeO78XyecMw6+//w+KZX6fZUvzZE5jx11uYM+n9NPNZF7NqruTKUuvPqrqtvqb1erk5eFplM3rN9RnOaHnmJwESIAESIAESIAFvIJD92zm9YZTsg28ROH8EtuR4BNAizrfuG3tLAllEoPPN/4fCISVNbUWKXoPeD49C3nz53dZ+uevbNk43Zes3uwvlKzdFXnFFlJEUHFICtz80CvkLBKNKrY5mocW1vNZZs35PzJv6ieslt+/T2ydtu2zFJrKo8o+jnup1r0dUlRaO954OksUCUMXB3o+MRmSFRihQ0HOst4zk9dSens+qetJqg9dIgARIwJVAYGAgHnroIQwYMMD1Upa8nzZtGjp37mzqeuSRR3DHHXdkSb1pVRIVFYXly5ejYEG7Jffl2k3r+qlTpzBnzhzkz58f9957L+Li4vDNN98Yke3WW2+FWtK1bdsWPXv2NOKa9ktFi0cffdSM9bfffkOlSpVw/fXXY/jw4Zg1axZKlCiBxMREfPnll2jUqBGmTJmC6tWrmyENGjQIEydOhHILCgoy5/79919ce+21WLt2LcLDw805/so5ArUa9JI5TCdHg87zLMdJp4PLXXfKmuHD0pG1ESBeDyxLfed5VoYry0ABtYgrX6U5lsz+Nl2lFs74Cs07PIEixfogLjZtETkouDiKhpVH7AnZSHqZlJVzJVeWWVn3ZYZhLl9uDq6Z1KLw6MEtuKZcxt2c7925BOUqNTVtuT7D5iR/kQAJkAAJkAAJkICPEaBFnI/dML/orrilDMgr7tAKlvaL4XKQJOCvBNSVoya1NnNOocXKiDvFS19PRYuXM4uCVh4tp1ZllpXcf647Wc+dOLLDUVfxkhVNFbrAmHD2pFWd4zUpMQHnz8WZ9yli5WalYiWirEPHwpHjxMUDa0HJ+byn8bnrk5Zz135ecXXpnALzF0LwRZFSz1ttaFkdl5VOHtst71PM25DQcCMkZiSv8lUXQPqqCzvOKSP1OJezjrVercPqrx478/bUto5Rf7S8LuyY9xf7ps+Ccz+1jrjTR6wmHa+mXadnxxqLdd8dGXlAAiSQaQLqKlJTbGxsqrrUykp/zp5N/dl/+vRpx+eCFlArLRWN4uPjTXkVfvS9CkfWdXMgv/LmveTO2Dqnr651Wte0fRWoXNPBgweNwGSd//nnn/HBBx9Yb1GkSBGUKlXK8V4P9LPszJkzqc7pG2v82md1hecuaT90PK48VDSoWrWqo5xru5rfuYzrdWVnJbVeUxHONSkztVj77LPPEBMTg+eff96RRdtXi7d//vkH48ePN+cLF7Zv6LBcf2qdWkYFvFatWplxbNu2DdreO++84xDhtLBa4tWvXx9PPfWUow0eZD0B6zvNdU6gm4lULLKS6zzLKmd9j7peT06y/1+2yuurzqPUI0B6vr+tcucSTpv8AVD33pdcfDvPszSv1R/X+aFe0+93tUDT5Ny2VcZ17Caj/IqPOy4tyj+n+aWn+YaWseZqefMGIrR4pKlGx6xlnJO2e/7cGVOvc92e+uNufpZWPzzNWd2xdFe3c19dj60+Wvddr+s91R93Scfpmlzn4Inn4x3zMR3XzL/exvEjO1MV03b1mjWP14tqGel8P7dvmI5VC8c4yrk+w9YFbc81WePy9Cy45ud7EiABEiABEiABEsgpAqlX+HKqVbZDAmkROLtX4sOVlRyX/kBLKzuvkQAJ+BaB2JP7Mf2PN1CsRHmx1CqCnZtnoUHze1Gn0a04cTQasye+j8o1O+LaJr2xVVwrLpz2hVh2jTELHXqtZOmq5o/6fBLzrWqdLo7ruqt6xYKRiIlejl59vkb0ljmI2b0KBQsVMe6IatbvgZPH92C/nAsKLoYd0m733h+ZBYN5/36KYrKbOSUlWdxizkLDlvehUo329vanf4m7HhuHgkGhDtC6CDTl15dQ/drukq+dLHLad/1rhrTG565PuuDpqX1Hg3KQIG4vVy0chZPH9qDb7R9gofRLx1Ktblfs2SEunmQx+Kb7vjUMN67+yyxUqRum0mVqY+uGqenKqzuWT8cewOx/3kfDVg/g6KGt2LVtPu589CdxVVk83W1qPSUjqjl333F89sxRjB/xCBq37mvu35LZ38szMBP3PfU3dm6Z7bbtwkVKYba4fDpyYDNu6ztc7usKw/964VCxelvsERdXunO67fUDsXHVn2ZhvECBwtiw6g/0uvdrYbbbPFfWs2MW1sLKGveZZcVicNe2BeY56dDjNfNcOjrLAxIggQwT2Lx5M9QdYsWKFY0A9Pfff+Pmm2/G999/jzFjxhhXhS+++CLUcurdd99FrVq1MHLkSDRr1gy//PILbrzxRmONtXjxYnTt2tW4SOzfvz+OHj2KW265xYhDJ0+eNOUOHDiAkiXtFtTOHV22bJnbOjXP0KFDsW/fPkRERBiRadKkSYiOjjZWYtpPFafU0qty5cpQF4t79+41YlyfPn3w0UcfGauumTNnmuY+//xzIw6qhdi4cePwxRdfoEaNGtDxzRErNHVjOXXqVCOo6XvnpHWr1Zm6hFy9erUZ17p161C2bFnj8lFFrlWr5DtMrOJU2FJrMm131KhRqRj+73//g7qytK5rG8pSXVHqj1qieUrqavLpp5/Gdddd9x+xTsek91Ct3ZS7p/TAAw+YcesYVqxYYYTMpk3tVizOZRo3bgzlxZT1BFR48DQnUMFmxfzhOHZou5kbOc+zatS7wbjv1u96/d5W93833z9E6vrCMQ9TF40/fXsHHnh2MgoFFcWxw9ulvhGoWK0N9kYvxcG9a3DvkxM8fn/rZiAVROZN/RglwquKYHsOZ2IPOiCYed7Fedb583Ee54daYMPKP3Dk4GaUKVffuAvXeVm7G/7ncexa5ujBrWZuWLlmB5krLdJTJnmabwQXDoO6AdfNPOrmUecyOh9cNPMr6HxB51UtOz8lc4UorFv+G04e3YXSZa+VueMMmZ9WMyKip3uh7J3nZ2nNuZTbEbEkc52zemLprm5P8zAVONVtu/N97/v8NOE7XsSxJKjLS/UicW2TOwwrnbvGnjxgLP50rlWxehvUaXgrDu3fkGoOvnbpz9BNbzG7ViC/eGKIEgvEY4e2GdFNnx295jqPV5bKu5LM5dQde6suz6Jo8bLmeToTewgrF442c+3Vi8Y4nmHtlLalIpzWu23jNLSWcsVKVkjzWTCD4S8SIAESIAESIAESuIoELpkcXMVOsGkSSEVALOJAt5SpkPANCeQmArrTurj8sayWTfoHeNfb3pc/wn83Q9Q/0gvKH9VWqiKCnLXzWcvoju5z504bwalTrzfhfF3L1G5wE9pcb4+hpgJNWKmKUNc9KuqpNZnGTCtQMETEq264tvHtppkls79DmLRbv9nduK7Ffal26GoduovaOSUlnsPGlX+KGDYItRr0NAKO8/W0xueuT2m171yvWcQoVVmEw/Ni/RFoXFSejTuKuo1uw019vhEB7aAR4ZShLpBpfh13eGStdOc1C07V2xlBsqgIVcpY3QFtXvN3htr0tPij4wkJLW0WY/RYxVRd0LGs4yp5aFvFyiZtHpEd00eRR8au+cLL1JIFPXvswHNnT5l7p3Xu3r4Q5cWVUZXancSd1CGzcOT67KjbrdKRdY2426xDP9z9xC/m2doowh0TCZBA5gioEFW6dGnjgnDEiBHYunWrEamWLl2Ku+66C2p1FhUVhS1btqBXr15GpHvzzTeN28Rhw4aZGGSLFi1C+/btcb/EGdu+fbvpkFp5qbCkwpuKZPPnz3crwqkFnQpq7uqcN2+ecZmoYpvWVb58eezZs8eIZtpvddGoItJff/2FQoUKoVOnTqhQoQIGDhxohLsGDRo4LN2mT5+OP//8E6+++qqp6/bbbzeClVqMde/eHfv370e/fv2MK0dtY+PGjanAah/Vyq9KlSoYPXq0iaOm49ekdVkx1YoXLw7ndl0ZqltK5+tafuzYsYa1Hl8uqRWb3i93Sc9b/N1d13PVqtk3Xaj4qXk1tp3lUtO5jNalFopHjhxxPs3jLCCQ1pxANyOVjKjusDJznmeplVGEiEi6WaWRbI5RsU3nTM7zsFARRW55YIiZU6jgN/nXgSKWPGM20lzXoo/EzT1gRuDp+1svLpv7g3zvVzJzkgbN+5jvcTEhM+Wc51lpzZ807uzWdZPR/oaXzRyu1DU1ZL6W9nxILbum/v6y6a+6F69Z70bTpv7y1N884m5c50558wWKAHS9CJIdZBPQRplf7RIhrjHadh8o/c9nxKpt6/81c85qsimsdGQdU3da98J1fpbWnEsrczdn9cTSXd2mQ25+ubvvZ+Q+5hEvDHUa3oJm7R8T4fFrM0dSy7X5/34mLth7mLHrXDpcNniplaDrHFyFUu1HM3HpGS73J0zmrOq+slzlZoaj61xM55gqNKqoWSbqOjOv27V1nswNC6CcuGbX50GfMRVHnZ9hFYCjt8yVZ/ZB1G54s+nHlN9ekpEGeJzvusHAUyRAAiRAAiRAAiSQ4wQoxOU4cjaYJoEkcUuUKK6CKMSliYkXScDXCegihlqlaQoKDjOLQNaY8gRccjGmcUScU/6CwfKHfSVzSndCu17Xc2pp5ymp9dqCaZ9i1sT3UCqihsm2bcM02c1c11FEF1GsBSJzrFcuLhjp4XTZsVu8lF0U1PfuUlrjc82fVvuueXWRxEraRqAIWSpmaVKRUi3+3KWM5NXyml+FPE3O9yej9ZgK0vFLhTYreWpbF31UPNuxaabD7ZEVP09FSBX4NKmVY9yZI2LN+K8IdecdQq7rs6Ox/XSM6lZU29dnw1gWWh3hKwmQwBUTULeFlrijllUqqqllmMZz07hhNWvWNG4e169fb1xPWu4eNX6YXlMrLE0qZKlIpSKcukjs3bu3Oa9ilzurK72oVlkqxrmrUy3u2rRpY+rQX2odp0KYinI9evQwFnsqJqn1nZWcP5/y5bv0GaxinSVCaV4do1rWqUWg5tNxBgcHm2p0XCpIuibloXw0KS8VJzVZ7VhtW+/1mivDAgUKOPLrdU1qZajuKtOTIiMjcfx46g0nVjk9X65cOeut21cVGTWpYKl1qdiWlGR3Pe1cQOtScdMar/M1HmeeQFrfz87zKm3J+X2BQoURUjTCzCWs733n6/oMqvCi6fD+jbJxJsXhIls3xjgnT9/fOs+5pnw9k1XrCy5sf+b1hOs8S+twNz/cLjF/U83VnGIHexr7UbGeU08HalWvKVhf0zHfMJmdfpUQS7czpw7i9xEPGZecocUijQVcRLlL1qaFi4Q76vbUH6cqUx164uZpzuqJZapKL/PG9b4rX3XTvX/PKuPZQUUyy3WkWtAdO7zN1BgSGiFx864xx65zcN0ENu67u4zlosYntpL1OabvXediKqRVrNZaRNYpsnEqRrw/nLSK4ZLD9dTPrIp1RcMufS5FVmho+nzq+G4zf03v3NjREA9IgARIgARIgARIIIcIUIjLIdBsJp0E4vfI30ey8B5k98WfzlLMRgIkQALpIqBCzm19R+CUuHf85Yf7jHWZunQ86yaemKcK64gF2pxJH4hrpUOesmTsfAbbz1jluSt37YY3YZO4nlR3UR17vmFcHm3fOMPsorZGqvfmtCyY6Q513fWd3pRXFvUskTe9ZZiPBEggfQRUgKld276Y71xCF2jVzaRl/aXXVNyyFm7VraKWUwsvjYmm9VwupVWnCoTLly9PVYXGb1PhT63e1NpMhUDnZPXF+ZweqxioopuVVNDTc57yW/m87VWFyQ0bNjgsk63+qfipLi9btGhhnXL7Onv2bGMFp+4wNVac8ty0adN/8qpFoOZRRky+SyAh7oTHGGKeRqWCjgpZzkmitTm/TddxRuZqWqG2q14VLEEpXY24yaSboG5/aKRYD9bFhFGPGvfYWTUmN805Trmbs2ZXu+r+XF2QqwWg9aMeJALk/2uHHq8aqzh17VlerNvCr0n9GWl1uGn7x9Gm2wvGAnK+uHy/lDzfa61z4YzBqFq7i7GMu1RGdU335TQWn1pxWkmtNjWvTKeZSIAESIAESIAESMCrCfAvIa++PX7YubN7gEKyyy7g0o5jP6TAIZNA7ifg/Ney7K52TrrbWt1WarJdfLXe289dyu96PeHsSYkft8OU1V+6E9o56PxGcZujLnBu6vOtifmmf8hHVW0psUammyDx6iIxKTHeUd7dQdmKjYw7yMm/vCi7/s+ZLLaL+3at11SrAS7jc+1TWu076nPXEWeGel3fXzzn2oZ13lFNWnmtuqzMzv3/f/bOAz7KIv3jz2bTSU9IQkI6IE16t2EBy9/zPHvDruedngqeiufZsZ6Cil3P3nsvB4gF6SBNIEAKpJHee9n//GZ5l01IIEDKlt/weXnffcu8M9/ZzM7M0w7mncbz7ex9/YOUxYpV67lWLZIZLib1rfbvsH+3upg06FjtBqusZJe2fDxixGl6wSdxgHWhGAtum9Z8qmLdjNZuuBAbx77ucLFkn+y/VzmZa/Tik/11HpMACRw6gaamJv0w+lW4pTzttNNsnw13tIhNFhMTo11DGm9CnLTTTz/d+Kit4hAvDRZrRoKw5ycVc83Ix36/vzwhaIM7ScRnQx6w0oMV2sMPP6zdO5rNZu06E9eQYG1WV2ft5/EZwkBsSCgj3DHC+g4J1n2IqQYXl0Z59AX1H/Jrew7X7M8Z+eK8wc7Y27/XeK7ts/bPI15bSUkJbm2VIFyrr69vde7OO+/Udfjoo49anUe8O1jWXXPNNfo83Ggi2b8Xrj5vvfVWeffddyU0NFTGjx8vV111lY79Z38frAERi++ZZ57RefC/biBg/9uJ7PF5zzn7cZX1kt04S93T9rfR/n60I34fkfopZSa4DURsX6T6ukq9t/235336s93v94BhJ+q4vcZ9GGfBzWW7qYM8EgcepQRga5QSVL5+rNW77Z/BVXxWG8YCUMgxYsM1KsuuFuWu0pbsn7MrL6636L91672Z25eoulYod+o3azfZWWkrJWXoCToWGqzIkJC3rU72+eLinvLgcJ/xmXEdeyS7crQ3Zt0fy3bztua6z/9oV/t2T1JWaeuWvatj6uFmuAItLkjTz5WVZMmZlzyjhHBTdDxnI7O2Y3CUF27Bz7nyFcnc9pu+zaQsHOFC1D7Zv3fNkjdUbL3BWuBXU1VkZaVuhrWlvQDV/juJ7wKsM40xeHH+DuUC0+r23vjO295nx952jgckQAIkQAIkQAIk0EsEKO3oJfB8bQcEqjNEgod1cJGnSYAEXIFAlbI+y8vaqBZH/FXMryJJ3fSDmjdbJD31Z+3uqHD3Vj25RjyPjG2/6ipv2/S9xKdM1s8hTgcWDMIiknTQe9yA66MnXyKbVSwzTP4RzwST9Lxd65XAbaeKBXKcji8B1zo/fvWgDBw2TWITxqhzR+hYIAs/v1/eee58LYjRwhlM3NskuERsbKiVHX8sUjEpzpbNv38hX759oxyl4twVqHchwbVOypATOq6fcsfUtkyIRdLe+xGbLn3LT1JSkK7rgphoRkIZER8D/HZnb9QLFiVFGXqxKVJpKiNuSUVptl4sSxx4TKfvTT5iqnJLtEYgwMrYtkS5q4rR7hqrKvK1y6DOvhP5QIu6ozR01Bny7Ue3a4s2xKfx9vZXC1qr9O3tvRua9HCdBTeSiFkHbW0kuDQyNLbxGe45Y+JHydfvzdKxXaBNvnbpW1pMiu+c8d0xLN+gXf+7WniqUbH2mpsb1PfqOGTDRAIk0AUEEEMtPDxcvv76a5kzZ4520wiBTXV1tbzwwgty1113aUuqDz/8UAtzAgMDZcmSJVrwNmHCBFsJzj77bIGQyN6ibseOHXLyyScL9rGxsfLSSy/p+99++2256aabZH95nnvuuYINritRrlNOOUXHqnvooYckNzdXC9NQPsRpmzJlio41d/PNN8tll10mX375pRbcLVu2TKZPny533323XHnllXp744035P3339flgLBv9+7dgvsgzIPl3LfffquFd/iMtGjRIi0sA58k5dYRQsGsrCxJS0vTcexwD+ozY8aMVu+FlZo9QwgK7csFqzMIwy6//HK58cYbkY1OcO3522+/6bh07733nlx44YX6PFxYLl++XP7xj38IhKAQviFGH96BskE4iTL9d0/8Ogje4B4T9YPrTbSzvZtQsHvwwQfl4osvllNPPVXfh7ouXLhQCyn3FIe7LiRwoDEBxlelym0fxgtwJ2iMsxIHTtHunksK0/UYDK4F83M3264PGj5dKyd98c6NMuOGT5UL6CgV/+sG+eX7x2WrskxH3C4j4Te8o99vxOD96t2Z8vlbNyi34BC6mGVX2nI9DoM1upH2Nz6Ewk2ccnf47vPWsVpDfY22rtxf3RMHHSNHT7tJFn/ziKRt/Um7o8aYIVXFC0bcsfbKW1GaowVscG0N99djj75MF++HT++SURMvUOPTWhmq4gMj9llcygT56JXLBW4Yq5UQqUEJ5Yryt3fJmAvjnvbGrKN922cZGp7Yauy3v3EYhJgY09q3e7yKrYv4bh+8fKlyIzpaj5MRLw4JY9t1y9/TMZF9fIO0sO3IsWfvMwZft+I97RIcrkfHqfhtSAPUmHjFTy/CvE2Nz0a2GsdjLIZx15rfXtcxgOGCfOOqT2SAGv/3ix9hs6wbMvJ0/f00vsMo6/jjrpYfv3xAhqi4f1vXfyOnnPOgfl9H41R8F2xuUPWd/I8ESIAESIAESIAEep6ASS1+7rva2PPl4BtJQKn/Vopl6xNiSrpUOfFPJhESIAEnIaAU7FUsHJGb/t0so/aGhOi10kPbGfE22kv4yYPGMO5BwHn7hEUdCAcR32LC1GuU8O54JZxpkhcfOU6uu+MXLQSyv7+rj9t7f9t3QMCWse0XOfls64JD2+vO9Bmazjq+jGqT/Qnt2tYJi24QyBmp7Wect/8OoM3bc2+ERSgI6c6+/CWtxX4wbizxjm8+MalFIg/ZmYlPTCTgegTKy8tl3bp1WhgFwcvBJMRyg2UarKkgYLOPcdZePrDmSk9P19ZxRlw1+/sQc6xtGWDZZQi17O81jveXZ1VVlX7WPk9YfMF1JRIs0YwyQ9CF8x25VEReeXl5kpKS0uE9Rpl6an8gNh2VA3XNzs6WhISEfXh39ExH59H3ZmZmSlhYmAQHB3d0m9OeP5y/j85U+quvRFmBirz0UbMar3Tmie67B5Ze9kKMpsZ6Pc4qV5ZS7z5/gVx/1/JOvRyCKm/fgFa/0Qc7zjLGSqt++a8WJHVmPIR3WNTYz2xWIJVAqL0xwf4qYIwjIMCCIM8+IX6al1ImgnVYR2NP+/sP5ni/Y9Z2WB5M3h3dCxeVvn4qBrPihARhJdyBQyhbV1um48htXf+1EnDerNvSPh+UF5aB4GE/roPlGuK2dZTsx2z2YzpjnGiUpe3zUI6DABQx+zq6p+0zB/o8+68eMvNmk3JVfKA7eZ0ESIAESIAESIAEDprA/PZXKg86Hz5AAl1AoCpDDdrVV9I/vgsyYxYkQALuSmB/CyGYqGMxyX5ByeAEIRwSFpwa6qq1C0QsuEBD2F7wY9zf1Xv797d1rQOtZSw0NCh3ThHRg7r61V2eX37OJq093V7GIydeKNH9h4tNC37PYk9797Z3rm1btP2MZ+y/A/tbnMGCD8phK0t7L+Q5EiCBgyYAIRiEWXBX2JkEqyvEWOso2QvMjHv2J4TDPfvLMyAgwMjGtjeEcDhhCOFw7Ovb8QIyriOv/ZUd9/R0OhCbjsqDug4YMKCjywd1Hn0vLP2YnJ9A2zET3FMiQbHpYBKEcEj4ja6rKVdjmmot2DqYcZYxVjqYd5uhnNWBglZnym+MI9oK4fCsocQDF4xdnfDeDsesdiw7eu8Pn9zZ7iV4C4A3hvaSn39Iq9Prlr0jEDb2CYzQGwR1gcH99hHC4SGU12hj+0z2J4TDffZjNvsx3YHGZlCoC1Hx4ZhIgARIgARIgARIwFkIdP2I0VlqznI6HgG4pfSLVaN4fi0dr3FYIhJwDwKwksKCQ6Zyy7hh5YfKZc4xctIZd/VY5Y33Z6WvUrE4jtKxWPByuImES8vImMEy9iirm6QeK9QhvCgqdrhDW+1Bwztz+29Sr/bpyl1V8uCph1BLPkICJNAeAcQng/tExCODq8MRI0a0dxvPkQAJODEBCNLgEtBPuYRGzDi45T6YVF6WIz9986iK/Xr0QY+z4P4xV42JmpSlFeKXURjTPvnOWAu2/+TesyOVO85li5+Xj/57pcBFemh4goyadNHeG3hEAiRAAiRAAiRAAiTQaQJ0TdlpVLyx2wlse0okZKRI5NRufxVfQAIk0HUEHM01ZdfVjDmRQMcE6JqyYza84hoEutv1nmtQYi3clUB3/304kmtKd21j1tv9CNA1pfu1OWtMAiRAAiRAAj1IYL5HD76MryKBjgk0lIpFbRJAFzYdQ+IVEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABZyJAQZwztZYrl7U6XUxmFW/An37eXbmZWTcSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAEScCcCFMS5U2s7cl2r0pQQLkGVkF9JR24mlo0ESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESKDzBCj16Dwr3tltBCwiVRnKLWVyt72BGZMACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZBATxOgIK6nifN9+xKozRVLc60SxKXse41nSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESMBJCXg6ablZbFciUKXiw3kFifj0daVasS4kQAIkQAIkQAIkQAIkQAIkQAJuRqCxpV68PFT8cyanJ9BiaZHcslzJKs2SXSW7JKvEuo8NiZXbT7nd6evHCpAACZAACZAACfQcAQrieo4139QRgaodtIbriA3PkwAJkEA3EPg9/ysJ8eknSSHjuiF3ZkkCJEACJEACJEACnSNgEYuY1D9XSZnlayW3aotMib3YVark0vWoaSyT4rpdUlyzS2oSc+T74ixZ/8pOSStI04K3gsoCaWlpsTHw9vSWhqYGufeMe23neEACJEACJEACJEACnSFAQVxnKPGe7iOgtAWlJlskbEL3vYM5kwAJ9AiBp+aYe+Q9fEkXEOjbX+T0Y0V+elsk46wuyNA9s0hIcM96s9buRWDp0qXuVWHWlgQciMC15zrh2MqrSsS3UMRPbb5F1mN81hs+7xbpk6e8oZSINCqvKAs/FSkf4EDUD7MoEz8QCd0kL39/6WFm5DiPH398ocTG1soXX8RIZaWLLCENf1pk7L9FvCr3gh7qKb+WeYhlZZPAEq69BCEc0pQBU9q7zHMkQAIkQAIkQAIk0CEBk0WlDq/yAgl0N4GKLSJZH4kMuU3Ew7e738b8SYAEuoFAc7PIp2oNhcl5CMBl0oxFfdQiQ7NcNPAROTOJrnUOpfX69BE57bRDeZLPkIDjE2hsbJSysjLHLyhLSAK9SCAiIkJMpq635spTcqolS3qxYp18dWHdTnnhj6ultC5XKpoKpbqhTJotja2eNpk8xGyyCm8w7sCGFOmXLPeN/1nCfZVykIskWPdd+3O0VDQUycvH5UuQd4RL1MzfP1f8/TOkpiZObfEuUSdUIrVsqTy/6UrJrUk9qDrhb77s6TIJ8lWCZCYSIAESIAESIAES6ByB+RTEdQ4U7+ouArlfitQpDcnkq7rrDcyXBEiABEigHQJD7xkqW3K3aHdQl065VF6+9GXxMnu1cydPkQAJkAAJkAAJkED7BIbdM0w2520WJYPqVPI0e8rg6MHy4z9/lL4BrhUj/OdtP8vU/0zVwtlnL35W/nbc3zrFxBlualaadxBAeXh4OENxO13GxuZGeWLBE3LPF/doK7im5qYDPjsoepCkPnBwwrsDZsobSIAESIAESIAEXJ3AfNcaRbl6c7li/SrTRAJdyBWJK7YR60QCLkoAlh5r1qyR7OxsF63h/qs1OXmyYDEM2ttvL39bTnj8BCmtKd3/Q7xKAiRAAiRAAiRAAnYEbj/l9k5bBWLcMSZ+jCy5fYnLCeGA5N2V71qVmpSR5JvL3rSj5PyHZrPZ5YRwaBUooc0+ZbZsfWCrTD1iqm6o/Vm56rGzcip1ylOnyP1f3y8LtiyQiroK/Rz/IwESIAESIAESIIH9EaAgbn90eK17CdTni6WxXCRgYPe+h7mTAAmQgB2Bmpoa2bRpk6xfv158fHwkLCzM7qr7HGIhzNBeb25pluUZy2XsnLGyvWC7+0BgTUmABEiABEiABA6LwAUTLpDwPuEHzMPsYZZjBx0ri/+5WIL9gg94v7PdAMuq91e+L9hbWiyyPG25ZJVmOVs1Drm8DQ0NUlioPN04aUqKSJIFMxfI+399X8L6hGlltfaq0tLSogV2+M6/9ttrMn3udAm9KVRG3DdCrnv7Onlj2RscS7cHjudIgARIgARIgASErin5Jeg9AoW/ihSvEBn8z94rA99MAiTgNgQQ7ygzM1PyVOCVPiq4V0pKioSEhLhN/dtWdFn6MpnycOtA89Dy9fPyk6/+8ZUcN+i4to/wMwmQAAmQAAmQAAnsQ+COz+6Qx394XDpy6wd3hn8a8Sf58LoPxdvsvc/zrnDi6w1fy5/m/8lWFU8PT3nwrAfltpNVLHQ3SPn5+ZKamiq+vr7Sv39/iY6OdloLuvLacrn9k9vlxZ9fFAiQobBmn1LnpMqgqEH61O6K3bI0baksS1um92t2rpH6xnqJCIwQeJ+YnDJZpqRMkfGJ48Xf298+Gx6TAAmQAAmQAAm4FwHGiHOv9naw2qb/V8RHxQWIPcPBCsbikAAJuBqBnJwcLYSDW53ExES9OOBqdTzY+tQ01EjADQFiUe517BMWy0zq3yuXvSKXT7nc/hKPSYAESIAESIAESMBGYGPORpm3YJ68s/IdgaVQe4I4k4dJZkyaIa9e/qqYTWbbs652cOHLF8rHaz5uxWBozFD5474/XK2qHdanrq5OsrKyZPfu3eLp6SkxMTESGxurjzt8yIEvLE9fLle+fqWk7k7V8eNQ1CC/ICl/Wnn16SA1NDfI2p1rBQpvhoAupzRHW9iN7D9SpgyYogV02CeEJXSQC0+TAAmQAAmQAAm4IAEK4lywUZ2jSs01IlsfF4k/T8WIG+wcZWYpSYAEnJYA4sAhyHxcXJzTaud2B/wBdw6QtAIVq7ODdMdpd8iDf3lQC+Y6uIWnSYAESIAESIAE3IgAYst+t+k7LYBbuHmhQNh080k3C4QWby17S7tmNHBAseeGE26Qpy58yqXHElBuCrs5TFtCGXU39psf2CxDoocYH91iDy8UUILLzc3VAlpYxyUlJQkU4pwtNbU0ydwFc+XuL+7W7XvqkafKtzd+e1DV2FWyyyaUg3BuffZ6aWxqlH4h/bS1nGE1B7fxPp4+B5U3byYBEiABEiABEnAaAhTEOU1TuVpByzaI5H6p3FIqVx0erumexNWajPUhARJwPQIzXp0h7614bx+XO0ZNPUwe8ufRf5Z3rn5Hu6w0znNPAiRAAiRAAiTgXgRqG2u1oG3ewnmyNW+rTB82XWZOmyknDztZC9m27t4qQ+5qLXC66/S75P4/3+/yoN5f9b5c9PJF+3gZ8DJ7yexTZ7sFg/YaGVaScAlfXFwsI0aMaO8WpzmXWZwpf3v7bzrO4R2n3nFY5cbf0qrMVTZ3lnBrWVhZKD5ePgJhHFxZGsK5fsH9DutdfJgESIAESIAESMBhCFAQ5zBN4W4FyfpIpLlOJHGGu9Wc9SUBEiABhyHw5MIn5baPb2ulvd5e4cYkjJFvbvxGooOi27vMcyRAAiRAAiRAAi5KADGwnl38rLzw8wtSWVcpF0+8WAvghscM36fGJz95sizYvEALpJ447wmZNW3WPve44on/e/r/5Ic/fmhXsSk+LF52PrrTFavtlnWC9WN3xHrbUbhDlu5Qsebg0lLtN+Vu0taECeEJe91ZKgHdyLiRgviDTCRAAiRAAiRAAk5HYD5/wZ2uzVygwBYV7Lhqh0jUiS5QGVaBBEjAEQg0NTXpYiAeBVPnCUDA1tjc2OEDnmZPreV+2pGnSZBvUIf38QIJkAAJkAAJkIBrEdiQs0Hm/m+uvLfyPQnxD5Hrj79e/j717xIZGNlhRW875TYtiHv5spfl6qOv7vA+V7pQWlPaoRAO9YRbQlg/jU8c70rVdtu6dIcQDjAH9B2gt0snX6rZVtZXyor0FTbBHFxjltWUib+Pv/4uGVZzk5MnS0RAhNu2BytOAiRAAiRAAs5EgCuWztRarlLW6gyxNNeLibHhXKVFWQ8S6DUCFotFx6DYuXOn9OvXT5KTk3utLM744lFxo9ottoeHh9bCPXX4qfLUBU9JUkRSu/fxJAmQAAmQAAmQgOsQQPy3bzd+q+O/LdqySIbFDpPnLn5OLp50sfh6+h6woicOPlEWzlooJww+4YD3usoNH6/5WFGzdFgdL08veXfluxTEdUhIZMeOHeLn56fH8hiDMokE+gTKSUNO0ht44Du2JW+LLdbc579/Lo9894i2Ph0YNbCVO8thMcME7uWZSIAESIAESIAEHIuASS1idjxqdKyysjSuQiD3G5HaHJGUa12lRqwHCZBALxAoLCyUjIwMaWhokP79+0tcXJxTBoHvBXStXpkwO0F2Fe+yncPEHTFNnjj/Cbl+6vW28zwgARIgARIgARJwTQKIWfXG0jcELqtTd6fKycNP1m4lpw+d7poV7sJaHfPYMdqVYIulpcNcwwPCpWBuAYUjHRCCIG737t0CIVxMTIzExsaKl5dXB3fztEEA1phwZYkYc0vTlsrKjJVSVVclQX5BMjFpos2l5aTkSRLsF2w8xj0JkAAJkAAJkEDvEGCMuN7h7uZvTZ0rEjZWpO9xbg6C1ScBEjgUAhUVFZKeni7YR0VFSVJSknh7ex9KVnxGETjvxfME2txmD7N4m73lgTMfkE/WfqI1bH+b/Zt2TUlQJEACJEACJEACrkcgrzzPFv+tur5aLpl0idx80s0CixqmAxPILc+V/rf212OmA9296JZFbmUpeCAeba/DzXxOTo7eWlpa9BgfSna+vge2xGybl7t+blYhQDZmb7S5s4SQLq0gTUwmkwyNGdrKam5Q1CCO8d31i8J6kwAJkAAJ9BYBxojrLfJu+15lCWdprKBbSrf9ArDiJHB4BCCAy8rKkpCQEBkzZowEBAQcXoZ8WsYljpOPVn8kF0+8WB4951GJCozSC0Vj54yVt5e/LTMmzSAlEiABEiABEiABFyKwLmudzFs4T95f+b6O//aPE/4hfz/+79I3oK8L1bL7q7I+a70eM9k7GcoszpS6xjoZHD3YVgAIQrblb6MgzkZk3wPEeU5ISNAeLmAdl52dLXl5eZKYmCjx8fH7PsAz+xAwm8wCt/PY/nbc3/T1gsoCm8UcrObeWvaW/n6G9QmTySmTbcK5CUkTpI93n33y5AkSIAESIAESIIGuI0DXlF3Hkjl1hkD+QpHyzSKDbuzM3byHBEiABFoRKC0t1bHLwsPDW53nh0MnsCl3k9Q01MiExAmtMvnbO3+TL9Z9IalzUnWcilYX+YEESIAESIAESMCpCCDG1DcbvpG5C+bK4q2LZXjscJk5baZWxPHx9HGqujhyYa9/93rZnLtZFv9zsSMX0ynKBjf0sIgLDAx0ivI6QyEbmxvl96zfbcI5uLXMKsnSnjFG9B9hc2c5JWUKY0Q7Q4OyjCRAAiRAAs5EgK4pnam1XKKs2+eLBCntwKhpLlEdVoIESIAEXJVAcXWxDLxzoFxzzDXy6NmPumo1WS8SIAESIAEScGkCULZ5Y5k1/tv2/O1y8jAV/236LJk2hPOx7mh4CuK6gyrz7E4C2aXZOsYcXFku3bFUC+oamxolOjhaW81NTlaWcwOmyNiEseLrSVeh3dkWzJsESIAESMClCVAQ59LN62iVq88Xy/bnxZRytYhff0crHctDAiRAAiTQhsCzi5+VWR/Oko33bhTEkmAiARIgARIgARJwDgKIX/bMj8/Iiz+/qC3fZ0yeoS3ghkQPcY4KOGkpKYjr2YZDPDkPD4+efamLv62uqU5WZ65uZTWXX5Ev3p7eMjp+tM2dJazmYkNiXZwGq0cCJEACJEACXUaAgrguQ8mMDkyg4CeR0rUiR8w68L28gwRIwC0JVFVV6cm0v7+/W9bf0SqNoO+j7x8t/UP7y7c3futoxWN5SIAESIAESIAE2hCA27l5C1T8t1XvS5h/mFx/wvU6XlREQESbO/mxOwhQENcdVNvPs7i4WLZu3SoxMTHSv39/8fLyav9Gnj1sAulF6VarOeXKErHmNmZvlOaWZokPjxfDYg57xKfzMrMdDhs4MyABEiABEnBFAvM9XbFWrJODEqhQseGCqIHpoK3DYpFArxKor6+XjIwMKSgo0BPp5OTkXi0PX24lgKDvT1/4tBz/n+Pl6w1fy+kjTicaEiABEiABEiABByOA+G/4nZ77v7nyU+pPcmT/I+XFGS/KRRMuEsZ/c7DGYnG6jEBwcLDExcVJTk6OZGdnS1RUlP7s5+fXZe9gRlYCyRHJgu2SiZfoE1X1VbIyY6UY7izv+/I+KakuET9vPxmXOM5qNacEc5NTJktkYCQxkgAJkAAJkAAJKAImi0okQQLdTqC+ULmlfFZMyVeK+Md3++v4AhIgAecg0NzcLLt27dKTZx8fH4EALiKCGtuO1nrnv3S+rN25Vv64/w/xNns7WvFYHhIgARIgARJwSwKI//b60tflyYVPyo6CHXLq8FO1+8mThpzkljwcodK0iOv5VsCS1u7du/V8ora2VsLDw7VALigoqOcL46ZvhDJA6u5Um2AOArrNuZsFbZMSmdLKneXw2OECZT8mEiABEiABEnAzAnRN6WYN3nvVpVvK3mPPN5OAgxLIy8uTzMxMPUFLSEjQbmVMJpODlta9i5VVmiWD7xosd51+l8w+ZbZ7w2DtSYAESIAESKCXCeSU5Vjjv/3yotQ11smMSdb4b4OjB/dyyfh6CuJ69ztQVFQkWVlZUllZKZMmTRJvbyqQ9VaLlNWWyfL05bZYcyvSV0hlXaUE+gbKhKQJNuHcpORJEuof2lvF5HtJgARIgARIoKcIUBDXU6Td/j3KGk4CUkT6neL2KAiABEhAJDU1VbuhREwHCOE8Pekp2dG/Fw9884A89v1jkjonVWKCYxy9uCwfCZAACZAACbgcgbW71srcBXPlw9UfSnifcLn++OvluuOuE8Z/c5ympiDOMdqipqZGGHPaMdrCKEWLpUU25W6yCeaWqXhz2/O3CxQxoUQwZcAUW7w5fDapf0wkQAIkQAIk4EIEKIhzocZ03KrUFyi3lM8pt5RXKbeUcY5bTpaMBEigxwjAbQwmXb6+vj32Tr7o8AjUNdXJ0LuHau3Vt696+/Ay49MkQAIkQAIkQAKdIoDF66/WfyXzFs6Tn1N/lpFxI7X7yQsnXEh30Z0i2LM3URDXs7z5NucmUFhVqAVzEMotTVsqq3eulpr6GgntEyqwlEOMuSkpU7QFXaBPoHNXlqUnARIgARJwdwIUxLn7N6BH6l/wo0jZepFBM3vkdXwJCZAACZBA9xD47PfP5KznzpIls5fIUSlHdc9LmCsJkAAJkAAJkIBUN1TL679Z47+lFabJaUeepgVwJw4+kXQcmAAFcQ7cOHZFKy8vFz8/P7qutGPiCIdNLU2yLmtdK6u5ncU7xexhFsSWg1DOEM6l9FUel5hIgARIgARIwHkIUBDnPG3lxCXd9pRI8FCRqGlOXAkWnQRIgARIAASmzZsmxVXFsvrfq8XD5EEoJEACJEACJEACXUgguzRbnln8jLz0y0s6/ttlUy6Tm0+6WY6IOqIL38KsuosABXHdRbZr8/3999+lqqpKIiMjJS4ujm4suxZvl+aWW55rE8zBam7tzrXS0NQgkUGRNqHc5OTJMi5xnPh5+XXpu5kZCZAACZAACXQhAQriuhAms2qPQG22WNJeEdOA60R8o9u7g+dIgARckMDu3bvFx8dHQkMZeNvVmnfL7i0y4t4R8uxFz8q1x17ratXrkfpA29fTg3ERewQ2X0ICJEACTkJgzc41Ov7bR2s+0jHfjPhviAXHZCXgDL+fFMR1/tvam+1psVgkPz9fsrKyBC7zw8LCtEAuODi48xXgnb1CoL6pXtBfLktX7ix3LNX7vLI88fL0klFxo1pZzcWFMjRKrzRSJ1/am31AJ4vI20iABEigKwlQENeVNJlXOwTyvhOpShcZeH07F3mKBEjA1QiUlpZKWlqaIEB6UlKSntC6Wh1ZH5GZH86Ut5e/LdvmbJNQ/+4XtiI+zhP/e0I25myUyMBI8TJ7CSwGSqpL5Jsbv3GaJlmRsUKuefMaeegvD8mwmGHy5MInZXHqYh0DI8Q/RHw8fWRQ1CC5eOLFtDZ0mlZlQUmABEjg0Ang9+3L9V9qAdyv236VUfGjZOZJM+WCCRd0Sfw3/n4eetsc6pPdKYhjex5qq+z/ueLiYi2Qg7vKoKAgSUhI0IK5/T/Fq45EILM4s5XV3IbsDdLU3CSxobGtBHOj40d3Sd/am3X/adtP8sJPL0hUUJQE+gbqORFcGd904k1y9ICje7NonX53fmW+3E/8VzYAAEAASURBVPbxbVox8flLntdumGEJDsHpkf2P1K5IIwIi5Pzx50tMcEyn8+WNJEACJODgBOZTHdvBW8gZiwftstzcXCkpKZEYzyoJCDlSfJyxIiwzCZBApwlA8AYBHP7uIyIiZNiwYTruQqcz4I1OReDeP90r7654V+758h55+oKnu7Xs0JQ85clTpF9wP3nlsle0sAovRPwInO/NBE1cxKvobPD4iUkT9cTS0+wpSRFJMmPyDHl60dPy2uWvydiEsVJcXSzjHxwv2/O3y/1/vr83q8Z3kwAJkAAJdCOBqvoqee231+SpRU9JemG6/N+I/5Mf//mjHH/E8V32Vv5+dhlKh8iI7dl9zRAeHi7YKioqtECusrKSgrjuw90tOSeGJwq2CydcqPOvaaiRlZkrbcK5B795ULvW9/Xy1WPuKQNUrDnlzhL7qMCobilTd2Q6/8f5eu7ww8wfJDkiWb8CvycnP3myVNdXd8crO5UneK/dtbbTgkAwh7vlHQU7tGAUXlYe/u5hLYR75KxHxKL+XfvmtXLiEyfKlvu3dKoMvIkESIAEnIEAg7s4Qys5WRk3b94sO3bs0AvyfxRGyYrtyihO+V9nIgEScD0CjY2Nsm3bNlm9erXgeNSoURTCuV4z71OjYL9gefish+W5xc/JptxNtut1TXWCySD2Dc0N+hifocGNBSQcN1uabffnlefp+2wn1EFlfaVAqxMTMCQIqn7f9bs8c9EzNiEczsP1zOxTZ+OwVcJEsG2CCxukirqKtpeksblRb/YXjPtRDiOh3LDCM9Kukl1y3ovnSX2jNW/jfHv54VpJTYmuK+LqGbH1oMWKZDKZ9B7ux6DJuiFng/7M/0iABEiABFyLAH5Hbv/kdom7LU5mfzpbpg+dLlsf2CofXfeRjE8cz99P9ZvcNjnj7yfGDBwP7Tu+Qts6cnvCGg7KhLCIY3JuAv7e/jJ10FS549Q75KsbvpKieUWSOidVXpjxgvZK8f2m7+WcF86R6FnRkvyvZLnkv5fIs4ufld+zfm81VzlUCsa8x5gHYY8N8yMkHBvzDXzGHKW0phSHtoT5U0FlgW1OtKNwh9z68a3y6DmP2oRwuDnAJ0Ceu/g58fb0tj2Lg/3NiYxytXqgnWfQl2GznxPhGfs5HK5f8foV2nPJgfLDddQbdTV7mMXDY++SNOZFJvUPCfszRp2hBXVt361v4H8kQAIk4KQEaBHnpA3nqMWurq6WoqIiW/FgHYcFxp07d+pBre0CD0iABFyCQGZmpsAd5eDBg3Wwc5eoFCvRKQJXHHWFvPDzC3LjezfKj7f8qJ/5buN3ctZzZ8lPt/6kLb6Of/x4OW7QcfLcJc9pLc0znjlDvrvpO8kty5XnfnpOzhpzltz38n3y9IVPy5GxR2pXjbAw+3HrjwJh3+2n3C5vLntTJiRN0J/bFuzmk262ncIzX234SqrqqvRkFlZmuyt2yyWvXCKDowdLWJ8w+XjNx3LrybcK4u4gQfMSwd6Xpy+Xk4edLFcefaXc+dmdWqPzmIHHaFdhhXML5YNVH+hJMMr04s8vyqJbFslPqT9Jdkm2nrT/ZcxfZETsiH3yQ/kw0QUjuBuDpmpmUaZ+d3v/pRely8/bftbx93Adn0+ae5KMiR8jr17+qhZEzvjvDLn6mKv14m17efAcCZAACZCA4xFYlblK5i2cJx+t/ki7WL7tlNvkr8f9VcL8w3RhP/v9M/5+2v0eO/vvZ0lViQTeEMjx0J7xlbO3p+P1KCzRoRCA+3dsl02+TD8O4RfmAMvSVKy5tKVy5+d3SnlNufTx6aPnHlNSlNVcymS9GX11Z99bVFWkvVz8edSf5T/n/EfPBeCO/tfbfpWYkBj5+zt/l8unXC5Tj5gqV71xlVx19FXa20hKZIrcMu0WPRfBXKNvYF89f/ni+i/0fAQKgNOGTtunGCP7j7Sdg/Duvq/u03OfFekrtJcNuOSEK0jkefGkiwWCSAj6fvrnT/q59uZRiFeKeRF+rx757hF58C8PaivCtnM4KE9CaRKuQKFUeN648/Rcru28DMJRuJ/ckrdFjhpwlK4PPIK0l6DUCe8rcNffx7uPVlK5+o2rZeHmhfLLbb/odsQc8bcdv8mLM15sLwueIwESIAGHJLBX/cAhi8dCORuB+vrWlgEoP4RxdXV1zlYVlpcESKATBJKTk2X8+PEUwnWClavdAk1FuKXEhA4CLqS/jP6LdvdSWFko8WHx8repf9Maj76evtLc0qz9/Af5BulnhvQbojVVJyVPki/WfaGff+mXl2RozFAdQ21c4jh9blv+Np2X/rDnP2hh/uuzf8kpT50ij3z/iNbUfHflu1rrFZNEPIMywWUL8oNW6uPnPq4tDjB5RIJrS2iOooxzzpwjd3x6hy4jJoZb87bKXaffJTn/ydECwG82fqMFdReMv0BgCQc3KphYI2FxCUK49vKDticmwhAu3njCjVqw6OPlY7OA0xmo/6CBe+ZzZ8qwu4fJmaPOlJOGnqQvofx3nnandlUJboghB66woGAiARIgARJwbAJY5ISA7ZjHjpEJD07Qvy1Qqsh8JFP/Xtkv7PL3s/XvsbP/fmLxHAvMHA9Zx1fO3p72PQ08gKSmpgoUkJmcmwDG1hhT3/One+SHm3+QkidLZON9G2XueXMlITxBIIg6/enTJeLmCBl812C58vUr5eVfX5Y/cv+wWal1RCA6KFpuOP4GKagoED8vP7n3jHslvyJfgvyCtGcMjOdPGHyC7CzeqedK8IgBRbs3l76ps0QsbsSPnjFphtx44o36HOY3OGfvEh9CsNeWvqbnRFe/ebX23vHMj8/IP074h94gSHzw2wf1HAIukHPKcrRCIpQo8W7UBam9edRFEy7Slm9w+QnLbXzGvK/tHA7zINxz6pGnaiFcR/khVjaEa89e9KzOC25B26Zftv8if33rr5I0O0m27t6queEezCXRLhCewgIPCbHCMV9jIgESIAFnIkBBnDO1lhOUNTBQmZPvcbFlFBefQ0JCjI/ckwAJuBABs7m1SwkXqhqr0gkCEKJdOvlSueWjW6S2sVY/cd3U6+T1pa/rY2iDQvsTmpnvrHhHLpl0ifWe466TM0aeIW8tf0u2F2zXC1W4cOboM2XkfSPlxV9elBMHn6jv7R/aX8dO0x/2/Id4cacdeZr8sOkHnc+6Xev0ZPKXbb8INgivIIBD8jJ7aW1SHEcHR+tJHY7fX/W+1nrF/RlFGfLWVW9pVymY4GLyDe3LvgF9catACxUTV0xS6xrrdH30BfWf8ZvXUX7vrXxPYF2HBJeUKHvbBAu9z//+uZTPLxcEm7ePfYc4coVVhbJgywKBSxqjXm3z4GcSIAESIAHHIABL6Kd/fFoG3jlQzn7+bG2VsPjWxbL2rrV6URW/S+0l/n62/j129t9PtqdrtafxNwvFY8SQg1v+jRs3SllZmXGJeycngHH68Jjhgnhl8KyR+kCqFD1ZJF/e8KWcPfZsPV+Y+cFMGX7PcAm9KVQLv6BwhzF6e+7v4Wnjhz9+0II2KOxhTvP+yvf13AeWeUiIGf3hXz/UCoSLtizSY36cx/tufv9mufata7VQH+fwfGVdZSuX+lCMvGLKFbI+a73Ehcbpez5f97lsytmk50TwOAJrOyRPD0+BVRrmOEhRQVGSmp8qa3auaXcehd8q3I+5h6EQeF0HczjkZ7iV7Cg/eBg5euDRuFUnlNeYRxnnjh14rLZwy3s8TwsSj/j3EbbQAJGBkXLZlMtk7v/m6tsh2AQTJhIgARJwJgJ0TelMreUEZfXy8pJBgwYpLbGtEupdLhWNfcSvT6gkJiY6QelZRBIgARIggYMl8MjZj8igOwdplyX3nXGfDpIO1ye/bv9VT47OGn2WvLH0DT1xNLT/v9v0nRbMvXHlG9raq7y2XL8Wlmkj+o8QTHLhtuTJ85+UYwcdK//74386poK3eW/sA7iJREI8gaySLC1EO2fsOfoc/oNLk/0lCAkRZ64zz8B9DLQ2L5l4idz/1f2tsjUmkB3lhzgI0DhF7B8jGRNV47OxR/3grvPyVy/XbilhEYdzsLp7/IfH5aQhJwkW9phIgARIgAQcj0BWaZaOawqLCcQLhdsx9N8DIwd2qrAXTrhQuw7j76f1N9zZfz/Znq3HZM7ensYfcUBAgIwbN05KSkokKytL1q9fL1BGjouLk759rQpcxr3cOz8BuFo8fcTpekNt4GVjQ/YGmzvLN5a9Ifd+ea+OdTYsZpgY7iyxR98PxUHMg6DQB1f8uBcKdrOmzdJwcHz+i+fL61e8LkdEH6FdGOPC5OTJsvLOlVoQN37OeNlw7wbt7v+hbx6SZenLBAIr+4R5UYBvgLYWQyzSYwYdI1GBUbZb8PfXUcIcBtc7MyfqaA6HvO3nRO3lh3P28bb1M0p811E6f/z5ctXrV+k5I8IVIN0y/RattHnRxIu02/+OnuV5EiABEnBUArSIc9SWceJyRUdHy6Txo+TIwN9l5KBIGTt2rMBqhokESMC5CMD1yvbt2yUnJ8e5Cs7S9igBuF65+093y2PfP6atuaBlickR3KMgjhwER9AWPXn4ybZyITYb4p6ZTWbt8gTuu5DgmhLuH5fOXirfbPhGn3vsnMf0xO6eL+7Rn43/4IrFSMcPPl5Pil/97VU9AS2rLZMPV32oL8M9spHgHtNIcC05d8FcHZQd5xAbAtqjuN8oD87nV+bL8z89rye/mEDCvRKuGwHRYSGH1FF+mNTCNZmRoMlqBGpHfm0Tyh3sH6y1Wo1rfz32rwJ3LtD8tHdHY1znngRIgARIoPcIrMxcKRe8dIEk35EssOKafepsyX5MxRBV7rc6K4RD6fn7+btuROP32Nl/P9mertWebXuYsLAwGTlypIwZM0Z8fX1ly5YtsnLlSqmttXqIaHs/P7sGAViVYQ4DbxbvXP2OpD+ULnlP5Gn394g3vTFno3atCCXFvrP6amW8f336L20ZDfeT8BJS21Cr3VWCCCzkahpqtOt5xLY25iqYEyHG9eJ/LpbwgHDt0QNuNDG3gsKiocRoUDXmRZhbQXCIe4qri/WcBa4rka9xj/EM5jOY9xxoHmU/l+poDod5EeqF1FF+Z485W3tKMcoOK0JjToTnELfbPiGmKtKR/Y+0nR7Qd4AWbl739nW2MAG2izwgARIgAScgYL5XJScoJ4voZAQ8TepHtGiZ+PQ7SvkFC3Ky0rO4JODeBDDYzs7Ols2bN+v4jtDu7NPH6sLCvcmw9h0RgLUX3DYiUDe0F+PC4rRLyGlDpklsSKyePN504k22xyHMeujbh/RkNDY0Vms6jksYp+O+QdMUEzTEaoPFGuIqnDv2XPn090/lv0v+q59Zu3OtYHJ23BHHaQsyWI0h5sIN790gby97W9IK0mTmtJk6LsOj3z+qn4FG6lvL3hK4fUHAckyWEefglg9v0ZPCiIAIbX03b8E8WbR1kbbMwwQYAdt/TP1RXlvyms3KDu4sTxtxmmwr2Ka1XAdGDdSaqW3zg3BucL/B8vj/Htdx8BCHAfHl8DeG2BBPLnxSM4OwD25cUD+4+Hz3mnclJjjGxsvXy1dyy3PljFFnaBc2tgs8IAESIAES6BUCiFEDJYtr37xW7v7ibkH8z0fPflRevvRlrbiB365DSfz9XCz4PXbm389vN36rXW7DIpLt6fzteaC/Yx8fH20JFxUVJc3NzYybfSBgLng9wCdAx02DoAxuIG875Tb5vyP/T4/ZMaeBG3640//PD//Rsc5CA0KlvrFez11iQmK0FdyqzFVaCc9QRER8NMTQxjwEQjTEikPCfKamsUZbT8O6LL0oXT5cbVU+hNtIxKfEvATzrIe/fVgrHMI7CVw4PrXwKfl52886FjXiV6I8EKChrGF9wvaZRyHeNgSFXp5eMjF5omA+0tEcDu7/H/jmAfHz9pNJSZPanZdBMQUuOqGgCc8naYVpAuEj5ntfb/xaYF0IC0HEAocV4W87fpM7TrtDK2naf23ArLq+moI4eyg8JgEScBYCK01qMWivqrizFJvldHwCDSVi2fa0mAb8TUVW3WsS7/gFZwlJwL0JFBQUSEZGhsAaDi5WsHl40Hjavb8Vnav99398L6c+eaosvGWhju8GgRq0RpHsj43coAFpuJo0rkMzE9qRcDcJjc62CQufmUWZepHOcE1pfw+EWMjrYKzG4I4Fk0/EhdhfMsoLbVIMnYz7ocWK+AlG6ig/WOmF+IXs42LTeO5A+zs+vUMeOushW/yFA93P6yRAAiRAAl1PoLK+Ul5d8qo8tegpbenwp5F/kpknzdTCt656m/GbiPzsj438jd8j++v8/TTo7Lvv6d/P69+9XjbnbtaWLPZt1PbYKCnb0yDRuX1Pt2fnSsW7SKBjAnBVDOESXEou2b5Elqcvl/XZ66WxqVH6hfQTxNyGC/yjUo7SioCwpkWfjuewQdDXXoIQC9cRa61twnyluKpYz5naXuvoc2fnUe31Wciz7Zyoo/ww10Od8PtmzAU7KlN75xF3HFZyI2JHtHeZ50iABEjAkQnMpyDOkZvHmctWny+W7c+LadA/RLzDnbkmLDsJuAWBiooKSUtL08HH4V4WcR29vffG43ILCKzkYRM445kztGbmurvX2YRwh52pG2dQ3VAtn679VMweZm1hCMtAJhIgARIggZ4nsKtkl47/9sqSV6SpuUm7B7vppJsEbrKYHI9Ab/5+thXEOR4d5ytRb7ZnV9KCIpcRR6sr82VezkcAQipYwS1LW6bd42MPKzVYV8P1pX2suX7B/Zyvgt1Q4q82fKUFd4ijirjiTCRAAiTghATmW1XVnbDkLLKDE1BWCzq1Y9Hg4CVn8UjALQmUlZWJp6enjulIN5Ru+RXokkrPO3+eDLtnmDy7+Fmxd0XZJZm7YSYl1SU69t6Zo8+U+864zw0JsMokQAIk0LsEEJ8T8UQ/WfOJtly449Q75Npjr5VQ/9DeLRjfvl8C/P3cLx6nu+gq7Yk4ck1NTdrjSGgo+xCn+yJ2YYHhvvjYgcfqzch2R+EOm2Bu4ZaF2mVlS0uLJIQnaIu5ycmTtYBuZNxIt1R4fGf5O4L42k9e8KSBjHsSIAEScDoCtIhzuiZzkgLXZosl7RUxDb5FxDPQSQrNYpIACZAACRwugX999i95/qfnZduD26RvQN/DzY7PkwAJkAAJkECPEtDx39Z+pgVwsFIYlzhOxx09b9x5brn42aPwXeBltIhzgUbspiqUlpZKVlaWYB8QECDx8fE6vlw3vY7ZOjkBuEJekb5Cu7RcumOpdmlZVlMm/j7+gvjchtUcBHSIrclEAiRAAiTg8ATomtLhm8hZC1izUyzpr4lpyK0i5j7OWguWmwRIgARI4CAJwH3QEf8+Qk4dfqq8fOnLB/k0bycBEiABEiCB3iGARc9Xfn1Fu6CEK8ozRp4hs6bNkmMGHtM7BeJbnZIABXFO2Ww9WuiqqiotkCssVK4IfXykf//+0q9fP8bl7tFWcL6XIe7blrwtNqu5pWlLJXV3qo5dPTBqoE0wBwHdsJhhtnjWzldTlpgESIAEXJYAXVO6bNP2dsVUcFmd6Jqyt1uC7ycBGwHGJbCh4EE3EkCA8cfOeUxm/HeGXHfcdTI2YWw3vo1ZkwAJkAAJkMDhEdhZstMa/00J4VrUHOaKo67Q7pVT+qYcXsZ8mgRIgATaIQBruCFDhkhSUpJkZ2dLRkaGIEzAsGHD2rmbp0jASsAkJhnab6jerjr6Kn2ytKZUW8wZseY++egTqaqrkiC/IJmYNNHm0nJS8iQJ9gsmShIgARIggV4mQNeUvdwALvv66nSxZLwppqF3iHj4uGw1WTEScAYCFRUVkp6eLoj9NnDgQGcoMsvoAgSOeewYaW5plt9m/6amjSYXqBGrQAIkQAIk4EoElqUvk3kL5smnaz+VmJAY+ccJ/5Brjr1GQvxCXKmarEsPE6BFXA8Dd4HXIW5cY2Oj+Pn5uUBtWIXeJADXyhuzNwqs5QzhXHphuphMSogXM7SV1dygqEGco/VmY/HdJEAC7kiAFnHu2Oo9UmeLpUdew5eQAAl0TKCurk5rWBYUFEhISIh2edLx3bxCAl1LYP6F82XsnLHy9vK3ZcakGV2bOXMjARIgARIggUMggEVKCN7mLpgry9OWy/ik8fLWVW/JuePOZfy3Q+DJR0iABA6fgKenp2BjIoHDJWBWHqlGxY3S29+n/l1nV1BZ0Eow99ayt6SusU7C+oTJ5JTJNuHchKQJAs8mTCRAAiRAAt1HgL/23ceWOZMACZBArxBobm6WnTt3Sk5Ojvj6+srw4cMlPDy8V8rCl7ovAUwCrz32Wrn9k9vlzNFnSqBPoPvCYM1JgARIgAR6lUBFXYUt/ltWaZb8edSf5dfbf5WjBxzdq+Xiy0mABEigMwTguhKKlUwkcLAEIgMj5cxRZ+oNzzY2N8rvWb/bLOae//l5ufOzO8XsYZYR/UfY3Fki1lxSRNLBvo73kwAJkAAJ7IcABXH7gcNLXUGA7si6giLzIIHOEoD1244dO/TtKSkpEhMT09lHeR8JdDmBOWfOkQ9WfSBzvp4jj579aJfnzwxJgARIgARIYH8EMosz5alFT8l/f/2vWNS/K4+6Um466SZJjkje32O8RgIkQAIOQ6CyslLWr18viC0XFxcnffv21a4GHaaALIhTEfAye8mExAl6u+nEm3TZs0uzrVZzymXz0h1L5aVfXpLGpkaJDo7WVnOTk5Xl3IApOva3r6evU9WXhSUBEiABRyLAGHGO1BquVJaqNLFkvsUYca7UpqyLUxAoKioSTNbi4+PFbDY7RZlZSNcm8OziZ2XWh7Nk470bBbEImEiABEiABEiguwkgPs68hfPks7Wf6fhvN554o1xzzDUS7Bfc3a9m/m5OgDHi3PwL0E3Vr66ulqysLIHSpY+Pj8TGxmqFSw8Pj256I7N1ZwJ1TXWyOnO1zWoO8ebyK/LF29NbRsePtrmzhNVcbEisO6Ni3UmABEjgYAjMpyDuYHDx3s4TqM4QS8YbShA3W8SDGjOdB8c7SYAESMC1CCAez+j7R0v/0P7y7Y3fulblWBsSIAESIAGHIdDU0iSfrP1E5i2YJyvSVwji3cyaPkvOHnM24785TCu5fkEoiHP9Nu7NGtbX10t2drbk5eVpqzh4P4GVHGPM9WaruMe704vSW8Wa25i9UZpbmiUuLK6VYA7hCWB1x0QCJEACJLAPgfl0TbkPE57oGgJ7XFJaWromO+ZCAiRAAiTglAQQNPzpC5+W4/9zvHy94Ws5fcTpTlkPFpoESIAESMAxCZTXlssrS16Rpxc9LTmlOTou6ROzn5CjUo5yzAKzVCRAAiRwiARgDYfwAwkJCZKbm6u36OhoCuIOkScf6zwBuHTGdsnES/RDVfVVsjJjpSzb487y/q/ul5LqEvHz9pNxieOswjnl0nJyymRBnDomEiABEiABEQri+C3oHgKmPS4SKIjrHr7M1W0JNDc3S1NTk3ZJ4rYQWHGnIzB10FQ5b/x5MvODmTJ92HTxNns7XR1YYBIgARIgAccikFGUoeO/vbrkVV2wK49W8d9UvJukiCTHKihLQwIkQAJdTAAWcAhFgI2JBHqDQIBPgJww+AS94f2Iw5q6O9UmmPtq/Vfy2PePicVikZTIlFZWc8NjhwuUNZlIgARIwN0IUBDnbi3eU/U1BHFCi7ieQs73uD4BuCDJzMyU4OBgGTp0qOtXmDV0KQKPn/u4DL5rsMxdMFdmn6LcFjORAAmQAAmQwCEQ+C3tN5n7v7ny+brPtdvje864R64++mrGfzsElnyEBEiABEiABLqCgElMMjh6sN6umHKFzrKstkyWpy+3xZq7/ePbpbKuUgJ9A7X7aMSYg8XcpORJEuof2hXFYB4kQAIk4NAEKIhz6OZx4sIZ2i0qNhATCZDA4REoKSmR9PR0qa2t1UG54YqEiQScjUBcaJzMPnW2PPjNg3Lp5EslJjjG2arA8pIACZAACfQSAcR/+3jNxzr+G1xhTUyeKO9d856cPfZsatX3UpvwtSRAAo5PoLCwUFpaWiQyMlLHlHP8ErOErkQgxC9EThl2it5QrxblMWtT7iabYO79Ve/LA18/oL+bEOJNGaAEc8qdJfb4DOEeEwmQAAm4EgGTMhO2uFKFWBcHIVBfKJbtz4pp4PUiPn0dpFAsBgk4F4Hq6mpJS0uT0tJS6du3ryQnJ4uvr69zVYKlJQE7AnVNdTL07qHaNcnbV71td4WHJEACJEACJLAvAcR/e/nXl3X8t9yyXPnLmL/IrGmz9ELdvnfzDAn0PoHr371eNudulsX/XNz7hWEJ3J4AvKlkZWWJl5eXxMbGaqVOs5kuAd3+i+FAAAqrCrVgblnaMlmatlRW71wtNfU1EtonVFvKGVZzE5MmCtxhMpEACZCAExOYT0GcE7eeQxe9oVQs254S04C/ivj2c+iisnAk4IgEsrOztRVcYGCgDsgdFBTkiMVkmUjgoAl89vtnctZzZ8mS2UvkqJSjDvp5PkACJEACJOD6BNKL0uWphU/Jq7+9Kh7K5f1VR18lN554oySGJ7p+5VlDpyZAQZxTN59LFr6hoUEwt0SYA6R+/fpJ//79xdubMZtdssGdvFKwgF+XtU4L5Qzh3K7iXWL2MAtiyxmCOexT+qY4eW1ZfBIgATcjQEGcmzV4z1W3qVIsW58QU8rVIn79e+69fBMJuAgBWMPV1NRoSzgXqRKrQQI2AtPnTZeiqiJZ/e/VeoHVdoEHJEACJEACbk1gyY4lOpboF+u+ELg0hvDt6mOuliBfKiS59RfDiSpPQZwTNZabFbW5uVlyc3MlJydHGhsbtXVcSgoFGW72NXDK6uaW58rSHUtlWbrVam7tzrXS0NQgkUGROsacFs4pl5bjEseJn5efU9aRhSYBEnALAhTEuUUz90Ylm2vFsuVRMSVdJtInqTdKwHeSAAmQAAk4KIEtu7fIiHtHyLMXPSvXHnutg5aSxSIBEiABEugJAtB+/2j1R1oAtzpztV5Umzltppw15izGf+uJBuA7upQABXFdipOZdQMBRKfJz88XCObgrpKJBJyNQH1TvazZucYqmNsjoMsryxMvTy8ZFTeqldUclHqYSIAESMBBCMz3dJCCsBiuRsBjj5uDlgZXqxnrQwIkQAIkcJgEhkQPkRtOuEHu/PxOOXfcuRLqH3qYOfJxEiABEiABZyNQVlsmL/3yksz/cb5gAQ2Ct/kXztcxYZytLiwvCZAACTgLAZPJJNHR0c5SXJaTBPYh4OPpo4VtsIS7Zdot+npmcaaONYc4c79u/1WeXfysNDU3SWxobCvB3Oj40eJtplvWfaDyBAmQQI8QoCCuRzC74UtMZjGpTSiIc8PGZ5U7QwBuJ5uamoSx3zpDi/e4IoF7/3SvvLviXbnny3vk6QuedsUqsk4kQAIkQALtEEgrTJMnFz4pr/32mo75AteTcEGZEJbQzt08RQIkQAIkQAIkQAL7J4AYstgunHChvrGmoUZWZq60Cece+vYhKaosEl8vXxmbMFamDJgik5U7S+yjAqP2nzmvkgAJkEAXEaAgrotAMpt2CMAqjoK4dsDwlDsTgD/+jIwM2b17t47/RkGcO38b3LvuwX7B8vBZD8u1b16r3VMOjxnu3kBYexIgARJwcQK/bP9F5i2YJ1+u/1Liw+Jlzplz5KpjrpJAn0AXrzmrRwIkQALORQAKo2vXrtWWczExMeLpyaVD52pBltbf21+mDpqqN4PGtvxtNneW3238Tp743xPS0tIiSX2TrFZzewRzI/qPoGtsAxr3JEACXUrApPxDW7o0R2ZGAgaB1HkiEZNEwicbZ7gnAbclgAFedna27Nq1S7y8vCQpKUkiIyPdlgcrTgIgYFH/Jj40UQJ8AuTHW34kFBIgARIgARcj0NjcKB+u/lAL4BDPBZrns6bNkjNHn8lFLhdra1bHSoAx4vhNcAUCEMRlZWVJbm6uYMmwX79+0r9/f/Hx8XGF6rEOJKAJVNRVyPL05TaruRUZK6S8plz6+PSRCUkTbC4tJ6dMljD/MFIjARIggcMlMJ+CuMNFyOc7JrDjWZFgZeHQ97iO7+EVEnADAgiGDSs4BMSOi4vTkxgPDw83qDmrSAIHJoDJz5RHpsiHf/1Qzhl7zoEf4B0kQAIkQAIOT6C0ptQW/y2/Il/OHnO2zJw2UyYmTXT4srOAJHA4BCiIOxx6fNbRCGD+mpeXpxVKGxoatCIp5rN9+vRxtKKyPCRw2ARaLC2yOW+zTTC3LG2ZpO5OVWF3TDIoapBNMIfYdENjhopJ/WMiARIggYMgQEHcQcDirQdLIONVEb8YkehTDvbJg7p/27ZtOtbWQT3Em0mghwhUV1cL4sH5+fmJv7+/OKsADi40oQXJRAJdTQAT/Mtfu1x+3vazrL9zvXJpLFpojfOwJDX2OLbfUA5o6BqG/fbHuIYJE7a2x/gbxGY2m/Xe+Gycg+sdXLPf4xoTCZCA6xFA/wKX0dD8Nzajz0Gfgj7H2NsfG+eMvdHfGP0JPuO47d7+HPoY+w3W8kaf5cyktxdsl6cWPSWv//a6eJo95eqjrfHf4IqSiQScgQD+1tEftO0b7PuA/R3ft/A+SStOkzfPf7NVP2D/99/22Bh3oB8w+gWcY3JtApgjZmZmOkUl8XtXX1+v57X4nQwODhZvbxWKhIkEnIBAbGys/s4eSlGLq4u1YG5Z+jJZumOprMpcJdX11RLsHyyTkifZhHNQNAryDTqUV/AZByOA/s6YFxh79HsdzRGM+YCxtx8joGr2v/lt5wZtP+NebMZYAHtjjIDzTE5PgII4p29CR67AzndFPP1FYs/s1lIuXbpUfH199datL2LmJHAIBPAjjA0/oM6aqqqqpLa2VuLj47VLTWetB8t9+ATwXcYkvK6ubp8NWrLYcH3vHsf1ajGrQS9oWffWxa3GRix8K6mbSpXNlVLWXCZx3nGHXUiI3rra5zbkeZ6eZuVW1lO7lt2791afvdVChK9ejIC7HixK2O9xbPxGGXucc4UF98NuLGZAAodIAH0Mfpfabkb/hL31uFb1QXW6T0L/09DQuOcY/VDzIb69+x7z8DDpfsbb20v1JV66v/H2Rr/io/oVP923oB9BH2L0LVD0abv1xkQdyhRzF8yVrzd8LQnhCXLTiTfJlUdfyfhv3fd1Yc7tEMAiGfoFCDjs98a4xegj6upqVR+B/sE6drHuG1W/0KTG7Yc3iihvKhc1wpFwz/B2Stj5Uxh7YLxh7Q8w1rBuPj6Y9/rb+gBjbGH0A1D8MxQAnXn+0XlSzntneXm5rFu3TiIiIpxqXIi/FwrhnPd7524lLyoq0lUeOXLkIQvj7Jk1tTTJhuwNe63mlIAuozBDC0+GxQyzCeZgNTcwcqD9ozzuZgL4jTfmBvjdxzH2xryg9R5jAKxTYG6APeYGTeq48bDHAd1VTYwLrPMD69gAyjvWtQhjrmBdFzfmCcZcAeMEY4xgjBm4FtFdrXTAfCmIOyAi3nDoBLI/VZYNDSLxFxx6Hp14EoK4xMREQRBhJhIgga4nsGPHDiktLdUDGbgiQXw7JtcggIUqWG3abzi3dwELQljjMxazm9qtuJenSS0IeaiBIfYmtbeovUXUOrI+9vLC4jIWlLC1PlbyLaXlBUGXSe0te/bWc2YzrEqgRbbvhoEoEvbGsfVM6/+VQpuyaLGew17JEm1bczMsXuw/ixIOwiIPe8uevTpW96kxut5w3ThubLQoJmprNKm9SQ3yZc/eer6+XmnVq2fbJhTd28dLWclaF9D9/fuowXEfbTWLQTLc/bTdMGhmIgFXJoB+CIoflZWVtr3RN9XUVKl+ChuszOv2mSDjbwp9EPofX1/s8blFfHRfhD4JfZF1j34Ix9ij/4GezN7NpI8hEDOZLHv6HuMY+719kXFstInRv7TdY1HfYjHpMht7ax9j7WfQp9g21ffoPkUNn9HPGMfY16s+pq7O2s+gr6mvt6jP7fcxPnv6F2s/Eqj6kwBbnxIYGCjYAgIC9P5wFuoR/+2D1R/o+G9rd66VowYcJbOmq/hvo84UDxO1do3vBveHTwDjEvQNFRUVem/0E+gXqqoq9oxjatTfhfrDaZN8vD10v+DrizGKRR2rTfcRxrik7dhE9RF6rGI/XsHfvtEXWI8xNjH6AftjY0yCvsDoDzDW2HtsHXsY/QGu2Y8t8PfeqMYge8caxrjDek7/7dejL7D2CegH6upgraQseNvU3cvLrP72/fXfe58+1r7A+Ns3+gJ4vUBfwUW5NvB64KMhiJsyZYr6TVI/SkwkQAJdTmDZsmVq3Oet1zKOPPLILhHGtS3k7ordsjRtqU04h5i49Y31EhEYIZOTJ+v4uNiPTxwv/t7KWIGpUwQgJMPcoO1mrGHU1FSqeQHWMqB8U2+b89tnjjEA5gfWDfMD6zqFj21usPe33jo/sAjWNqxzg73rE/iMNQvruoQxHrDfW68Z4wLsjfEAytN6HGCMCfadI2Cs0PE8AeMArDtYxwP2ez030OsRxlwB44L2xwaYN/n6+ai1B1+1Yd0hUO+hyIMxQtsNAj2mLiNAQVyXoWRG+xLI+1akrkAk6fJ9r3XhmaUUxHUhTWZFAvsSgCAOi5/R0dGSmpqq49wlURi3LygHOoP2wmJV2wWrykosYJXrwWx1dW2rwaoekKkF7D59PNRATHkW9rOIkhOpvXXz9/cQPyUL2ruQhQVv62cMSJnaJ4CBtFLE04tkWCjTx2pQrBT09FZTs+dY3VNTY1KbqL83ZXnYoFbm7JLZjLbx27N4HqwW0IP2HFsX1bGQBjdBFNjZQeOhwxCANmpZWZnesPCIvsm6L9X7qqqaVsI1TyWEDwjwUJtJfe/RF1nUHscm3T/5+5lU34QN/ZO1L7Kf7DpMxXugIFisr601+hTrvkZ9rq627OlPVJ+i+hb1s6D6flxvbrVYD6FdcHCQBAUFqy1E9yPoT0JCQvSGfqXtAn1JTYk1/tui+VJQWaDje86aNksvMPVAlfkKFyMAV07oE6D0hQ19A7aysuI9/USVWpTa+5vo7eWhfgPRP4jqE1okYE/fgJBVffzRR1j7BmPvLmMULN4ZfYExtqhWYwzjbx99QnWNh+oHlCeCSiW8U4I7I0HIGBDgv+dvPkz3A0YfEBoaqs/3hqWtUT5X3eN7Dos4CuJctYVZL0cgAEFcQkKCHoOWlJRIdwnj7Ova0NwgUFDS7iz3COhySnO0y+6R/UfaBHNTBkyRhLAE+0fd5hiWtZgbGL/5e9cuME/AVqkETq2VgP18zXpugLUK6/xA9LzAOj9Qv/16bcI6N3D3+YH9FwnrDxgfGPtatSaBNQfrhrEBPnvsGS+0qHtbK/Z4emLcFWCbK2CeYGwYK2CuAGVipk4RmO+8vtI6VT/e1KsEzOoPsVmtNDKRAAm4BIGoqChdDwjjkCiM0xh6/D+4h7QuUFkXtfcubpfuGbS2XrCCFph1wcoiavwkEWqsHxiIBRdPvWBlXdzGYBYaXZ2tTqdv7GyGLnsfNOf04qDiq/TiOllPs9aE04tmavHcunhmUYtn9WrxrE6qqoukIN8k6WlYTFMxrpTmvJGg/R4UFKgGxBgUWxfPjMU07KEB33ZR3XiWexI4HAKwUCkuLhYscmBfWlqitmI1yS5XEz9l4rUn+ft5qO+oh/p+WiQ6UmTQAFGfzap/Mu3pm6yCNeN+7vdPwLA0VnNilQ7cx7S0eNoW4rEgX1EJIUiZ3kqKd0lGujpXoeJg7HHPhwX6oKAAvRAfGhohm6o2yQNLHhBvs7dcfczVcvO0myUuNG7/heRVElAEsMiGvgFuwrAvLi7U/URZWYVN0AYhfHCwWfcPYSFqrJlg/RwU6Kn6B+v4pbVitvqRZdIEMIaD8BELlOHhB+oLzNrirlL9/auuW/UDGFvWqW23lCvLjvzdJtV3NyuLf+v4AnkHBwdKaGiYhIVFaFeK4eHheo+xBccV/BKSAAk4OoGhQ4fK5s2bZePGjd0ujMMYCfHjsM08aaZGs6tkl1Uwp+LMwXruhZ9fUHO4RukX0q+VO8sx8WPEx9P5LZCgZIN1CijYYG6ADXOD8vJSPTeABZuRsF6BuUFgoEWC1NY/Bp/Vb36Alxa8WRXzrBZpxjPcd56AoTxtfeLA4wMo9kB5D/MEvVfrERUVUPRWnkuq8tQ6BD4rgZ2yyDeSt7enmisEqy1MbaFqrIDxQpgaN4TqjXFvDVLKE8veQx6RQBcT8FRqiU3qL5aJBEjAZQhQGNczTYmgwMaAde++SJ0r1gMgDI6QjAUrtQYi4aEtkpyIQasSxARCGIPFU6srNuvd/N+ZCECAZ21DlHp/A2az1m6rqMBiukUtoGEP912VUlqSZVtUN0LewLIOi2lhYeF6Mc0YJBsDZWq8O9O3pOfLCkUALKAXFhbqxXTrPl+dK1GLusr8UyW4cwkNNauFYIvqk0RNxkwSEuxl3atjet/SmHrtP1gHYXEDCx4dJ7NanMcCitrKRe1r1eJJtZQU50ptQblM7TNVRvuPFp8tPvJxzgdqMb6v2iKlb1/sI/Qeru6Y3JMABG4FBQV6Qx9RUJCn+owiWx+BBbfwcGwWiR0qqr/wkNAQs/pNslq5uSe1nq81+uKwMJPa8O72BJpmpRUvauzZIqWqLygtrVXHWWoBLke2bG6RGqUxr59U44rw8FCJjOyntkjbhsU3JhIgARJwJAI9KYxrW+/4sHjBdv648/Wl2sZaWZW5yubO8tHvHpXCykLx8fIRCOMQY25yinJrqfb9gvu1zc5hPiMOG37rDUWboiIcQ9Gm3ObtAu6eMTcIC7NIYryaG4xQSjZBe+cGrRVsHKZqblsQKN9AcRsKUHvXIdrOG6wKPZgrlJdjvoC98mZQXibZWSbZuEF54aizzg2xkhEUHGCbL2CuYCjzQEnY3ZJJSan3qlG7W+1Z3+4lUL5JBHHiht3dre+ha8puxcvMSUAM15QIcGyk/Px8uqk0YBzGHgNXLFZBO9y64bhQyssqba7DAvpg0KoWSkItagBrXTQJCVYL22pBG9phTCRwIAIY6UFIZ11Ut6iFNLWgVobFNZNeYDO02WD5EhoarBfUrQvrVq13LKwhtgKTexFAPIbdu5VlhOrvrVuumliXassV9DywWunb1yQRajE9IsIk4WoRHQu6mLgxuTYBxLNCP4KtqFhtRRYpLDKp78det7p9+vhKVFS02qyL83Bvjb6Ewn7X+m5g7JKXl6f7iry8HL03tNwxfkEfEdnXsqevUP1FBNwsuxYDd60NXFwVFSnljBJRY9kW3QcUFEAhyLrwBu34qKhI6devv3Zv36+ftS9gH7D3G0PXlHtZ8IgEuouA4ZoyJibG9gpYxkHZtSfcVNpe2omDHYU7ZKmymNMuLdV+U+4mJcxqkYTwhL3uLJVgbmTcSPH06Fm7GigKG3MCq7LNbiWAK1AWU1YvaFAQDg+3KuJFKKtsZTSt1i+Uoo1av4DnHSb3I4BxQmmpmi+UQpFTjRnUnKG4uPV8wdfXW80P+qptrzIP5gwuHJeOMeLc70+hB2tcnSGWjDfENOR2pWTXff5iKYjrwTblq9ySQHuCOICgMK7zX4dmFSgMA1YsahsD1wJl028MXKElFhHhqQasLWpR2zpwjVDa4hDA0Xqk85x556ERQHDnYiymq0V0Y5BcpBbVS0qapanZqq8VrLTYrAvqUXoxHQNkaLPRHdWhMXe0pxBXMicnR3Jzc9WiOrYcZRGlggeoFBhgVm1vXUyPjDRJVKSHFrwhaDkTCbQlADd3WJTPVwvyBYUWNVYwqcV6a18Ci9zIyAiJiYlTi/P9JDY2Vn23otiPtIXooJ/RT2RlZUl2drbqK7DlSn19o5iVEkdEhFkJW5S7WdVXREd56D6D4UIctCG7uVgq7I/qAyyyO79FjXuxN+k+obGpRRBnJjo6Sv3tx+u//7i4OKVYptw6uGmiIM5NG57V7lEC7QniUABHFcbZw6msr5QV6Stsgrnl6culrKZM/H38dVxew2pucvJkiQiIsH/0sI7r1eTQOifI26NskyPFRaVaURieL/r2VYo2ES1qTOeh9mqOoPYqTBgTCXSaANxeFqp5QkGhUuTRe5Pa741fGxISqMYLMWq+EKOVeTBncBFvGxTEdfpbwhsPnkB9vli2Py+mQTeIeHfdj0LbglAQ15YIP5NA1xKAIA7uBhCEtW2qU2ouiAuEAMiJiYltL7vl58bGRj1gxeAVgre8vGy1CFmiXTNAUywy0lMNWJv1gDVSaYpDWzxYWbgxkYCjEYAlHbTYsKCmB8lFWFzDonqTwNUlFtSg7R4dHWsbIGNRndrujtaSrcsDZxjom3bt2qUW1LGovktZSyrpiUphoZ5qwmORftFYTDepY8QbYv/UmiA/HSwB9CWYZOepRfm8vBa1N6nvYIuKP9WilE3M6nsWLf37JwgW5ePj49V3TgW5Yup1ArAWyMzM1H3Frl0Z6vegQjtKhuJQbKxFYlT/gC062kPgTpmJBDoiYPQBObktanHXIrl56AOsY4nAQH/1t5+g/vYT9HwCij7ukiiIc5eWZj17kwDWC2Fd49eOdghcKTco7YExY8YoTzMqmLqDJ4sShW3J22JzZ7ksbZls3b1VMLYfGDWwlTvLYTHDxMPU1p3gvhXEs7Bsh5INlPJycnYpV+RlWugGy3bMBaIilaKNnhvAFTHnBftS5JmuIgA3l1YlHij1ifpuKhf55VZLeygGx8bGKYW+WD1ngJWrp/NphlIQ11VfFubTDoHmarFs+Y+Ykq9QkaMT2rmha05RENc1HJkLCeyPwLZt2wTuCNpLEMRhcDtq1Kj2Lrv8OVi42Q9cCwuKlZDCIv5+GLiKWsxWm1qkwqI2Bq7wuc1EAs5MQBl46kX13fkYKCuNd6XtnpfXrBbVLTbhnL22O+PE9G5rw6UNJtZYUN+5M0NbtDQ0NImfr1kJP0wSG6PiNKmg6LGxJrVIwQ6qd1vLfd6+d2Heon5DmyU7x0P1K0164SciIlQtyCfrRfmkpCSnWBxzhZbDgmR6erpkZGBL01ax0HyPizNLXH9Rm0n1GR5qzOcKtWUdepsAphU5OS2SlY1N1G+T6Hgyfn4+6m8/UZKSkiUlJUWNnZV/MxdNFMS5aMOyWg5FoKamRo+BOyoUYpuhr7F3XdnRvY54vrSmVFvMQSi3NG2prMxYKVV1VRLkFyQTkybaXFpOSp4kwX7BKl5r4x4Fm11qn6H64Vwdw9XXxzoXiI2xKtnEqLmBG4bvcsQmdvsy1dYqBR6txANFHhUBK9siVdXNSgnMQ623RalxaqJW5INxQHsCdwcDSEGcgzWI6xXnjwdE+p+pAokc2W11oyCu82ghSHFCjYHOV5B39gqBjlxX9kphuvmlcDEJoRssSbKyduoF7bq6BoFryZgYs17QxqAVGuKI4cZEAu5EAHGicvMsemEN2u4QzjUr07mAAD81OE5Ug+R4m7Y7XVp27zcDVsxpaWlqUX2HEr7tVNq+TRIUaFaWyyLxcSa1KVcyyhqXiQQciQDc5GZltciuLIvs3IVFemsf0rdvmFqUHyDJycl686LP5i5pNgjp0T9s375d9RfblMVzsXgpS+f4eA9JVDqUiQlqPKMW5DwOrFDfJeVhJiSQrxR8Mne2qE3UwrnVRRXcU6WkDJKBAwe63N8/BXGd/85zHaPzrHjnwRHoyHXlweXiOHc3W5plY/ZGmztLCOfSC9N1Af85dJYEV4Wo+VmLiu3sqX7vLUrJxkP6K2U8zgscpw1ZkgMTKCuzaEUeCOV2ZZmUK3yr0UBUdF81301R84YktU90xDj38xnd4cDtyzsOh4BXoEij1d3R4WTDZ/dPAK5jpk6dqrV4hgwZIosXL5Zhw5Qpupo5//HHH3L99dcrdzKlsmrVKvnggw/2n9lBXoVgYs6cOfLOO+/oBdZ//vOfcvLJJ+tcEEPsiSeekAEDBgiENf/+978lKCjI9oaff/5ZP7tgwQLbObgGuOeee7T2I+o1btw4Oeuss2zX2x7g/pdfflkLRh599FHb5QO923bjnoODzefKK6+UrVu3yogRI5TWcIaAw6BBg2T9+vVKW7i/jXN7dcQrH3roIRW4NlRZk+yW6dOny1FHHdW2SPrz999/L6tXr9ZuIbFgctNNN9nu68k8bC91swO4aoAlCdo4I2OHWiDMVpaBLRISbFYDV5ETj1fa4bHeOhaKiWvabvbtYHXbEohQMQKwjTjSumrb3GxW2mstytKlUQ2Ut8uSX7fJDz80C4IyW93ZJutBMtxZMh0eASxQoZ/Cgvr27Vu1q0l/Pw+1aOkh008SSUr01jEnD+8tfJoEupcALK0GDPBQm/U9TU1mNb5rkYzMCrWtlVUrV+qxbUJivFqUP0KPu8LCwrq3UC6WO8a76Ce2bt2ixubbBcpEUcpl9oBki5x8kpfqm+lm0sWa3Kmqg3ikUVFmmThBlKs1sxqDWyQtvVZt62XtmjViVoJiCOSPOGKI2o5wlXgxTtVG3VHY999/XzCPxzoGlIbXrVsnJ5xwgu6rEJfym2++kXPOOUduvfVWve/KMmDsdO+998qiRYvktNNOkzvvvFOPUfGO/c3DO1o7gFXxI488IqNHj5YNGzbIHXfcoeaMatLYQcI888EH/5+984CTolgaeF0gKVnJIkFRMiLJhCKigqJgzoJZDM/4qc+nPvWZE2ZRUVAUFEUkCIiKZJCMJMlJQIKA5HTw1b+XPuaGmQ3H7t3eMfX73c3sTHd1d81Md3XF5+Xiiy+W1q1bZ5YK13ZmIcdJLHiikR3dcsstJmTjocpZ/OQVschq4oHDQap8f5qWkiZVilaR3UfslpJHFJfaxWrK+vSNsqnQKmlSpYjUqaH3j01XQ8lAeJHvX4Z8PECM3kuWTJN6dUOD3LEjtGdYspSw6hvkt/HjzZ6h8rHH6L7iBCOTThaZQ6CIy8cvZlIMLR1F3Kak6EoydwIrnLp166rrt9IrBrD1tmimyzPOOEPef/99U5swgY888ohce+21MmXKFOnfv788+OCDcvXVV8eAPbqiXbp0MfF5R44cKa+++qpcf/31xmOIPqBAQ0l39tlny4ABA6RDhw7St29fgxivoiVLlgiKKif07t1bCB/w4osvGuUWlgzE7MaawQtQhv3222+mrPN+uLad5ex5rHg2btwow4cPNxYWN9xwg/AMoD8KOTYKgN8Y33zzTeNJ9fjjj5uxEtIR+rlzIhAO8l//+pdRpmL9TTs9e/Y0zzUncVgaHS5HQjPhSYKAatGihUZIVapkur6D++Sk+upRUqWAKpQPF2oE4wwokH0KkDOosnpeadonOXU/mnXr0tTSXb0wNBTKmNGLjGIOj7kQgxyyds8DISWyT5Q41kQIxDoxZ85sM1/tVq+3SpXSpWEDVWYcV9B4ssSxuQBVQIEcp4DKY40yWeXuBrZvT1OB/F6Zv2C5KvaX6/zxo+ZbPUqFt3WNADdZNtg5TqgIDRKGirli1qwZRrC9b+8+NYJIk5YtRE6oUTDIUxuBfsHt3KEABm6ETz7mmDQ560wNW6nf/7z5Gfq3RH4cskh+GDhQqlStrHvoBub7D3iH3HlOtDp06FBjWBprD2w9lEhvvPGGkRkgt+jRo4dMVsUr+9/HHnvM5CPv1auXMTqOtY1I5VEA3nbbbUZ2gvLp2WeflU8++cTMmX77cHD6yQ4eeOABozBENsP+/sorr5TxKhD2gu3btxt5wffff59pyEy5cDKAeOChb5FkR7TjN8Zo5Szh5BU5icOLZvnxGt8Rz2zu3Nka6nu9SZOhojRpfV6KHFe9tMov8m+Y3/z4PIMxxUaBwoWVpz0h1fxRE55h0eK9um9YIROm/P+mAABAAElEQVR+WyE///yz8rtF1YintjHkQb6cW3ntA0VcbM82KB0rBQqotHpPcividmocHJRGhIYoUaJElhFyD6ssNrCF+bIVduzYYT7YggULmt/coxxAcnnCbW3dutXUow4MlnNjgFfTunXr1PW7jClLiDsYtKlTp2ZRxJEwlZj4th3wO/tDXipbDy8zmFQvQInFGChjx2DLoTRKU0mppQHXOadNd9gwlGOMzw01a9aUc845x1x+5pln5IMPPjBWbCiVZs+ebRhqbl544YWmv9DmyCOPNF5jTZuquaMLUMQxLoC+NWrUSPr165fFE8xZBY80PO5gWC0QZidc27ac8xgrHrz2nM/G4qLP0AHAM85rjCjTsOwCoCnPiIUBJSYeWDwDnhUbETwdbQim9u3by2effWYUcYnGYTp3GP3DM9Eyrn/9tVaIkV6tWqq0ainKuBZSa5vDiBjBUAMKJJACIa+5NGncKNTImjUI1nfr3yzp9/0M43Fa+dhKUrNmHf2raTyHE9idPIeadRtvlt9/nybz583X/u9TRUWabrJFTjyhkK4peW5IQYcDCkRNgSJFROrWSTV/VFq+PE3+mLtRZvw+xhh2HXVUSalX7yT9q6ceoIGnHPzwtGlTlSeeJXt17mCuuOjCNJ0rgjxvUb90QcGkoQDffwM1iGtQX9TwMU0NUPbKrDkrZOiPf8og9ZiqccLxmq/6ZBPCMreEa7lBLLuPd8sy4BcAZBfsvS1gcIjxr93rI6ugLDRjX4qRD3/sRZEhuGUZ5Aa3ZcGBNxteU0R4sQA+ZBnshS24++Osd+6555ooM7as83j//fcbmQCyE/plAXzsu5HF0E87HsbrlnlQBrB7aouDPhJtBk88gLYeffRRcx5uH04BL9kBzwDloo1A1KRJE2MUvXLlSk8lIjKiZs2aHZQHMVLbpoOOf7HiwfMvkuzIb4yR5CzO98VPXtG8efOwspp44HCQJ1+fonybOXOmGtr8bvK6ljk6XQ1s9slFFxTU7y9Fv4t8PfxgcAEFfCkAz1Cndqr5o9Dq1Rjz7JC580IRNgpphJ5atWqrMU89E6HHriG+CON4IzWOuAJUAQUOpgCKuCQNTYkH0z333COnnHKKsVrieNppp6kFyVzDGGAlRJhFlExY7MBYEeKREIwwLihNUCqR3BVmAi8omEMYPe7hrQaceuqpgtcYgHcalkFY8KJUAfCqwnPqvffeM+ELUAZgfUU/CPE4Y8YMz/4466HMCxfyACYYj7g2bdqYNocNG2asAN566y256667DJPcrVs3ExKibdu2RrFFyAKAslh2waReddVVxoPL3Nj/zyrh+GkVbISTJAym0zIZhr2kajMmaFihcABzB1NsAU/BwYMH259RHbPbtht5ODwNGqjLgQ/AmPsB7wdhKpy04ZxchwCegCgtAdp3eslRjvcqJ3CYDuTzf7xnhEV9883X5cMPP5RZM8dI9arr5aYbC8ojDxeQKy9XRfDJaYESLp+/B8HwcpcCZcumyKmnpMn116aZ7+6aqwpI2TJ/yfhxw+Ttt99W4453jUWxXZNyt7e51zrzFaGZXnvtFfn2m96SsWehXHxRqtKsoFxzVZo0PCktUMLl3uMJWs4lClTWfIfntkqXe+9Okztv0w31iZtl2tRR8s4770jXrh8avtspuM2lbuZoswgwx4wZo/NnZ+nevbus/3uWnH+uyMMPhuYKQger/WEAAQXyNAVU/6J72VS5tH26/N9DBeTSS9JU2bxIen/9lXpWvWoMHNm752eYM2eOkTOQLuGmm24yITvx7MLoF8NNQoAjXyC3Hvt89uDs+zFwveiii8zeB/qwt8Rw4dNPPzXkIsdsq1atTFoLDF0x5uUagByDSDSEUnzllVeMku67777LTBGBUvCjjz7S+berjB492hjkevWHfZezHmFG/YC9MAbIpHHA4Jd9MO0T+hE8yC4w3MKolbCSpIqADhbYW2MAS+hH+u+EChUqZCrhuI6sItI+3FnffY5hJ4pAjgAKMkKpZkeW4SUDcLcX6befLIFxhpMdhZNlhJOP0B8r+wonr8gJHJFok5fv28hMb731hvnWliyeJE0b75J77yood92ZJq3OSddoJIESLi8/46Dv8acAoa+bn5Emt96cJg/eX1CjQuxVHnmmfKEe2K+99rIJRWzn7vi3nhVj4BGXlR7Br3hTIIlDUxYtWtQo3hBswaARlgCFGwwdoRFQepBXjXxrCACJSY7yhZAFAJ5KTz75pClLSEYYYKyssMxCeUQ4RgDFXWXicil88cUX5h4hBitWrGiutWvXzhyxwMIjD6UdVlngR2EHs0xuNXd/sPwCbD3zw+cfzDVeV1YJRsx1GOVKlSoZBR33CMMAQ48VGIwuIRSwlnJaMqEY/Pbbb+XGG2/0bAlaMjZogALx6KOPzlKO3yihLG2y3Nz/A4XmQA018tBDDxlrOxRzbk9Fr3rOa9lt24mD83jhceJlQwPtnbThnGcN3HHHHXLZZZeZc9rnWVigHN6UbGwSjcO2md+OMK7kHZgxY6p+15ukfLl0aXyySO1aQf6k/Pasg/HkPQqwrNWokWr+LlS7kVWrUmX2nH+MYJ21uGLFcsbbBQGBl4d23htx+B6T9401c+LE8SrUWSsVK6RrXko8ggqqtXf4usHdgAKHGwVCuaX0G2lJaPBUmfb7OvWU+UH5q8HG2rVZs1M0jGXZfEsWBNVjx45Ro6KZqmhLUeW8qDFR4NGfbx94MLBMCqCUq10rVf9EDUbTZNr0PTJ5ym8yVhXSJ5xYQxUDp2fm/MqslA9OkBegrEFGgOyCPWLVqlUFxRzpKTjyGyNfvMfwFMYomHkQ7zVkEVxDLtCxY0fjbQ9ZUObfeeedJnoP0XlGjRplzrmHkg2FF4o6cqqhaMKbjf2V9SRDHoCxL22jGCNPvLs/RCPCSNdZD/x+UKdOncy9M/IW+o/shrQb7J2RUeBFhgEXhtMo4/DSY89HBBvkNyjsMLQmVQZ52r2gT58+xlCbe377cD/vNuqgUISmpOS49957jSE38iQUX7FAdtr2wh8vPE7c4HTKMbjHbyvjsbKvcDIPvBsTjcPZ5/xwjkJ71qxZ+g1PlKVLlus7laYpM8jLXVDf55T8MMRgDAEFcowC5Eds0jhN/0Sda9Jk5qwMmf77FGNoUr58GZWdNzGyf68IaPHoZKCIiwcVAxz+FDChKbfo/X36l3wLBB8WTIBVaqEAQSkHM4vyBwsyXFRhQlGI4RFmAaYVJRVl8QrDGwzG0x2OEMbRAvjxSkPJhRWZE6wrLIwvLubERif8FMoywN0fa+Vn6zlxeZ3bMdp7hGyAcQfIwwZ+G8YB6zCs74nNjiKM+OYAzDRMtRegrERQilISgOHEY9AJWEY5Q1Q479lzFHDUve666zS8yEmGgUa5x3ihiQWUgVjoeUG4tidNmpQZp52NiA2DGSser/LRXLNKRSdtsNa2dOFd4w9gHHhuWoB+vLM8LyCROGyb+eEI40qoUhjXJYuXqdVnujKuIWF2wLjmhyccjCG/UqBChRSpUCHNCNZRys2ctU7zyv0sP6sn64k1T1Br6EbGgzu/jZ95H8OZyZMnqOfbbt0IpMil7QqqICz5+Kj8RvtgPPmDAscck6p8FXlR0mTW7AyZOGmGelJMVf7pWBXKn2H4+/wxUsJzLldB+XDdMyySShXTpX27NKlVM1WF3PllhME4AgpETwHCM592apr+ieZ5TpHxExbLZ93nS8VK5VUJc5bxnIoeW/KXZF9oPaeQaSCfGDJkiPFKwmCpdu3aZr/MXp40E9YYARkA9/DUIiIQyiuMgF966SVBGUV0HgBlGVGDLBDRB8NkcsCjALPglEcgM8Erl2gveIdhJIBizNkfr3r2mt/RKctAkcef3Vcjn7ByDeQY7JEJwUn4S2hkZRnIEjBm9QKMYqGBjXrjtw+3NPTCwTXyvaEQhD6kzyB6EkbPscogvGQAtM2YULoCPDtw+0F2x+CHj+vh5Czct7Iv+2y85BU5gYO+5AfgPeDdYU+wc8dOpW+KtOxQwOTgzg/jC8YQUCC3KUDk5mZN0/RP1Pu7oEydrs44w35UY5OfdD04SVMNHRw++FD7HCjiDpWCQf3wFChYUnNeZUjKbg0NUSA2S6DwiBNzF6suyzy4W4ARxWPMhmLE4skynRwJ9YA3HR5M1iLMjQNXfYRrt99+uxAzHMshCxYXDDGWRISUQBFnFW62nPto67mvx/LbydjaeuQqg8mDWcVLzQIMtRtQJL377rsmTAR0ArDSc7v2gs+PvhYnTDoWZPxhSQUja8NLOPsZbtzh2mYTYvHguRcOwuEJVy/cPTYHMKbQBuYcgEFnM+QGd/vQj40MHpY5icPdr7zyG8af0Bcwrrv0Pa6n4ZhanhWKl55XxpCofm7ZslMV54tk9Jgl8vJLoZC1ixatl+eeHybPPnOuCjCz5stMVD8ShddrfOHaGjVqsYwYuVithtfKFZfXk3btDv4ew9WP973cfhbLlm2UHwb9od/OCun6cchDN95jjBVfSCmXruFWRBYu3KtM8gLp1fMPKVmqhObXOM0YbiBsyctA3pUxY0bLZN1wFy+eKi3OJB9OARUi5fyoxo1bKkuWbojYcKGC6RpNoG7EcokusGnTDvniy6nKV/2l62NhefSRs9ToQiWyeQje6DxKDaLS5a5OKkHOQdi6dZf07DVNvcj+UZ4vQxU5tVXwemxmD5JxPsjsXIQTvGxtTqmVK1NVKL9SvurVU8qWKyNnndUyTwvlMZgbNuxn9TZZpPlg0jWsdgENNRbiwSOQJbgdUOCwoED16qkaFhDBWqqMHb9Wvun9tZQrX1b38ufJcccdly9pgCyDyDxuYN+MZ9bq1aszFVZOWQbKJ+ohg8B7DjxegAKOqASkrUAuYkM9OvflyERQEJGqg4g74cBZL1y5SPfwknPjsrIMDHsjyTIYC6lCbOQj2vPbh1s5gl+fCEVp6WK99jCihf62bqwyCCsDoD51LR4rd/HrS3bH4IeP626cXPOS8YSTeeQkDvqXFwFvUfYE06ZONXuCM04L7QmCiBh58WkGfc4rFMDo9bxWadKyhRhDvgkTp8nECROlVu2aasxzphoIV4jLUAJuPS5kDJD4UqDg/kTpuyILc3xxJPgGoZ8s4NF1xRVX2J8mxrr9QTgD7lsg1AHx1S0Q5oCQgQgCnczVVF08bW4bwjkQwxw8eD0RKsIKDq2CC488LJvAwSYbbx4LznN3PVsGrykYaHdODK7xZwHm1AJlnbjtdUJIoiwkZjx1YQh69+5tb5sj9WA2UZzBFGK106tXLxMygkTQjBFYtGiREZQyfgvOPthr9gg9OnbsaBRxWE2heMJb0P6B24IbD+Eq/NqGthaHDQGZHTy2DkdCePhZ17n7xnPFQm645ga0QJgB3h8Aq0GroO3UqZOx4LM4iMmPxWJO4LB9y4tH3tOBAwdI5zdeN3nfmp++Wx56oIC0vSBNFUyBRwnPdMiQefKv+/vLV19Pz3zEU6askG6fTdZQLKG8Bpk38uCJ1/j8hoGy6dXXR8oj/3emKrqPlquu6alWwweSwfvVS+T13HwWKDHHjF1ilLJDfpyXyGFmC7fKktSIIVWuuCxNHrivoNSvu0VGjxqq3umvmZymzMd5DVg/CPX09ltvyuJFU6TdxWlyz12Ey0jLFSUc9Ov81hh5+P8GqSfxSjUc2SIjRiyWa6//Wj76eIIKNbdqHtt10vnNMXLLbX2Sgtw33/qtJuMuJ8883Up6fDFV3tT+5zX4tNsk+bzH1Bzt9vLlG+Widp/JRW1ryeP/Plv5ixQ559yusnjxetOPZJ8PYiFWxYrqWdo+TfPJqUFOpfXS59veakD3vixZsiQWNLleFj67b98+8rHuKVJkmdx+Syj3W6CEy/VHE3QgSSmAYK3dRem6rhaUcmXXS09VNvXo0T3TqyhJux11t6wsg/0ie0VSSwD8tnvIRo0amVCUzv0n+03kGxbYYz788MMml5q9xj6fOhYPsgzCQeLtRiQgAM80K8dA0Ucet7POOsvsjVE+WRmDsz/uegbR/n+Wj4sky3DWoayVc9i+cp8UIEQvQh4D0O+ZGr7XCUT/GTFihNmLQ0vkL4zNbx/urOtsy3mdc7yYSEtiowWFk0FYGlkc4dpGVmVlGSgZnRALHlvPT3Zk77vHGE7OQh0r+wonr8gJHLb/ee2IUd6AAf3lHTVGX7Xyd7nE8C1466QFYenz2sMM+ptnKWAN+W67JVVuvL6A7N610PDdvXp9mZkz9VAGl/a0wqEgCOoGFAhLgVS1Tvp7vGaq1Xxo/CUACMmCosapmIm2GcLV4d4Po0DuMza35IJDMdK5c2cTlpFwDIQBaN68uVEwkayYWOeUIXyDVYgR1hFLKhgj64pPP0j4i7VSs2bNTDJVwjUQxhJmkZCLWHCh1MMDjlCYjIOEwihkCEuJZRpxzOknjKLtj7seCXdRQLz22mtG0ccijvcZ8d/xviJWO8w5jDH9ZHwoA2EK8TpDOcgYYX5hWPEcg0ki3MU999xjGMmFCxcaCzg7ZsbHeLH24u9///ufCe3ZtGlTE4O9RYtQiAuYwqFDh5qcejYmO/HV8aIjdAWWY1gmghdGGuaXe4TvJJZ7OMDjif7TN8YCHbCIC9e2F77s4iF8B56Qy5YtM20TF96C3xgZE8pKnjHhP/GUhPYAY+FZEdefZ8d70rdvXxNiA2XmI488YsaXaBx2DNEcUTTDxNvQKNHUSUQZ3nlywfTv11/SUtdJm/NTpU3rNP2OUvUbT0SLeRdnbRVYjxu3TP5avUXu+1coDyHX7rnrVHXBj97SZ+3aLRoSa7EqRo6OGzHigdNrfH4dvPX2PnJKs2M1d+VxcuaZ1eSWm5vkuCfN5z2mZKF7dp6F3/hivV5QPZzq1S1vlHErVmySBx8IzU2x4smJ8gULpkjVKrq+Nk3VtXOfKo3+VGHKOF1Hdpv101oM50RfstsGa8BXX30pG9Yvl9bnp8iFajBQtmyKzvPZxRifeniXfd79Ss3rcpKcqt5RrKs9v5qu3lJ15L9PtdI1trrceMPJ6kk1Xe7WeSM3YcKE5fLIo0OM92bRooWkw40na/6a49U4KHntDb3muQ43NpKbOjZSvjDnFqx77u2nucQqqjC2lqHXOS2P1/fwBJ3Tj9J1M1X5srwzH0T7DhYunKIeZKlyUoM0FcRv0zxyU2XVXys02kCVzBDt0eLK6XLw8b17f6Uha9fJZZekmaTzxYrl8mSR00QI2gsokE0KFCmSIjVPTDWhWxcu3KRhrieY/UuVKlXMXj2baA+pGoY47NOJdoI8IlZAfkHOLvA888wzJqRk48aNTfoMZAfIC5BBIF9AhsBeHYv+bt26mZztTqNUPOTIIYdxrQWi8+Dd1lGNY5FvkDoCZRURe4gChCIIuQb79sWLF5s2UECB3yrnCAvJHo39rO0PchNnPfbPpJxAOfj6668bWQt94Drl2KezP6bdM88806Sr+EnDlCPXYA+KsovUHuSrI9c8bfFc8YRDkUjqC2QdhO9EOWcBTy5kBp9//rmhDfRBDoInHx6Cfvtw6nvJDriOrAjZAAq/7t27++ajoyx9J5QlCk4UmngbIisJJwOgnhuyi8dPdmTxe40xkpzFKfvyk1fkBA47hmiOyMayK0+MBn80ZfiueFe/6/Ot7M1YKxe3TdUoIKlBWPpoiBeUCSiQQAqULJmispEUqaGGwIsWbZSfhv4m/2zaqOv2sWZNy0bTE1LUwuGAW0w2MARVAgpEpMDCD0WKVhcpd27EotkpgGVT1apVDcMSa32YVxRIJCFGAeSXc8yJF+UKzIOXWypMEAymE2CMYawAFFKU4a9o0aLOYkbxRVhGgL5YZReLcjhhIgozWy8Lwjj+QDlHP7Kj7KQbMN/R1kXJyXOIFH892uHF0nY4nPHC42wDxa/7PWBK5v2wz5/y0J4/m8MvJ3A424h0zjMjDKSNqR+pfLzvQy+Ti2DMaCPAbtUyReeE5BXAxnv82cV3zbW9ZJJ6g82f+3C2UGRk7JXWF3STyy6tI3fecSB/RLaQ7a8UT5zRjq9KtZe0/83k34+dfShdz3bdX39dKDd06C1/Lvt3tnEkouKVV/dUZe1SWb40ufoVaayzZu+VYb/uk5270lW4co5gBc6anWyAAUP//n1lpQqOzjozTZVdaUmV0+nV10bK/z2ssTH3ww8//CFt1XPqflXcd37jgAX9a+pN+vBDB8rZ8jl57NZ9ktzZ6XvZuf25nGw2223Fc57Ldif2Vyxe8r/yZueL5OabGodFlVfng7CD2n9zzZp9MnDQXg3ZJnJ2y3OMIDmaejlZBuFz377fqnX8Ss2ZmWq8ZZNwWstJkgRtBRQ4ZArMmbNXBg3ZK4WLFNcQy1d47u0PuZEICPi2MchF2eWWIUSoam6Tvx4+hzQO7LXDyQyogGIJw04UPSi43MCeyt0PtyyD3Gu05VQconRj72pDJVpZBvta/ux1d3vueu778fqNwq106dK+/QjXTrh9uFc9lJmknPDat3uVD3ct1rb9cMULjxu/l3zE+b7Y8l4yD3svUTgs/miO48aNM4pbvovcABTegwYNUAWcGsKfm6oRHgI5Rm48h6DNgALRUGDp0n0y+Me9smmzKstbnR82T6cPvnc0cn4AAQUSTAHCUyZpaEoUY1bBES2zFG6BdjOuUNYq4TiHCeW38xrXAacyzamEicRQO+uFMMX/v1+c+GhbilYJBz6bNy1a3JHKxdJ2OFzxwuNsw62E4x4CY+fz5xrvgN97kCgctJsXAOtLhNmyb5tc0k6tXGvlLcZ1wIA5snDR36qQLSS33tJEldY7NTTZFFXGZqhAoJhcdWUD8xgIH/Zd31ly7z2nyuzZa6Rf/9nqgVlSrlNvFb/Nrfv5rV+/Tb7tM1OWLNkgjRtV0o0x79uBUsyHhJ8rWrSg5rCsnHljzZotJl/YmjVb5bjqpZXZqKTeRsXluhu+kp9/WSBlyxxp3tuLL6qlfS5u6hFacdToJSbE48kNK6l3bY0sypANG7ZLr6+mmVxIgwfPld81HOY9d58iHW76xhfnzz8vkN8mLFNL0SJKl/rq0ZtVgBBpfJkD2n8yYsQijf29WpYv/0cmTPxTPvzoN6lQvpjpZzTPZM+eDLWuXaT0T1Gv1mNlwMA5Jlzf1VfV1xCXZbI0N2nSnzJSPQd37NgjF7Q5US2IQxs9lHDtLvnctEn7FZV+Fykd/Z4FSMPRNpY+zZu3Vsb/tlytj1fJ6adVlUsuqZOlz3n1B5vXWhoBefKUPTLslyEq4Jqs1s+XqkVp1meSm+ObPn26/KDhc6tUSZG7OxVQK3PHh5ibHXO07VTCOS4fdGqVcGPHLlUjogydg8vIZ59PkRZnVdfk1qF5JNy7Fu3c5jUPlS17pHzZc5r013l079595humg4RZrFgxNBcxpw4a/IfmslmrloslVMBRQ49Zcxb79X3OnDXqqbBZLe6ryeDB82SufjPkkKQ+3+iYMUtl3Phlcmbzaqq8OZBTjT74jXnnzj2+cydjHKgKT7dSLNw3T1vR0pCyFhYsWGfm6M1bdmkYqZXybbEZ5laGjuvvv7ep10hZadnyOFvc9xhuXkb4ypoybfpK411X88Qy6q1QwxdXbt3AA/XmjmkyZWqGDFUPi3nz5shll13pKaTOjT5i7NSnT28NqbdPOt2Rrlb7yTdf5AZdEtGm31pt24o0n5Bnsf+A2dLpzlPMu//j0HmGX8LTvkiRrIaa+eHbsXTJq0f2DNWqpcoPgzfLJ127Sus2bQRvsrwEKNaQZdiIM5H6jvKMCDx+EI0sA88hN7jlKHYvy742nDGUu54bb7x+4wmXXQi3D/fCSYSeeEGsbfu1Gy88bvxe8hEvOZeXvMLiShQOiz+Zjyi+hwwZpHngputeMlXOap6uivBk7nHe6hvh1T/uOtHsT9ivt2l9gnq6lhfySrNX2bZtt1yq+98aNULzgx/vbkftt1/gfrLwD177peoqvwkgfhRg/37HbWkqP8qQH4f8oLK5GSpHuTymfUPekljGj3YBppykAIq4naFcEznZbKS2sEYfPHiwSZxLSIAAAgoEFMg7FEAIOnjwIPmiRw+pXWu7CrPT85wSDmqjdOn6yUR55tmfDfGLFStkwr399+mf5a23x5prKOsaNXlX7n9woLz9zlh5o/Noo0C5seM38vIrI0yZSP/mzl1rvNfq1S0nzz7TStapoPX7frMyN8ezVSF11TW9pKXmBpqsSjQLGzdulwvadjfC54cfam6UgQiFUSi1Pv9EUwyl3ImqeLJCpgcfGmj6hTCcMo88NlhatvpYhbtbTfnPPp8sxxz7otx3/0B5972x8u//DJHHHkdhssoT565de+Q2DR+5Tuu3vbCW/Dp8kdSs/YYyPeq+sB8ijc+Wcx6rVCml7045ISxAubJFpZEqGMkRF80zQZF4w4295bw2n0q37pO1f9+ZUJ/vfzBeWrT8WPOCbsts6smnhhpFJoK5Cy+oKU2avScP6LMEUCrWr19BjTPSDQ1RFPg9C8qHo20sfXrzrdFyR6e+csP1DVUBepo8+PBA+aCLhpHOJ6A2L8Zj5O5OaVK61N/yYZcP9PmMy/XRoZggf+XAAf3VqyVFrrsmLSmVcLEQaunSDXLhRd3l9DO7SN/vZ5n36plnf5GXXhlu0IR716Kd2/zmoYIF08x3W6J4YbXy32vO+Y6ZR4Hp01XJ3PwDKZCepuEzT9Hw3Tukdt3OxtiB+359/9/zv2h+vB+kdr3O8u774+Tefw3QUK1Ldc6cLdWOe0Wtlv+Q62/obQwi3nl3rDQ/60MN/b0MlAbCjdlr7mQc3TU/5/EnvCqP/+dHi8Ycw33zFIiWhlmQ6g+MP0qWKGIuly5dxCguy+o8iKHH3ff2z7IOuOvyO5p5+Yknh8qChX/L/fedYcKbPqFzYTLDyQ3T5M7byQOxSrp0eU+IgJHbMH78eOnVs6caz+yTDjekBUq4BD6QcGs1zUaaT77sOVXqn/SWya151939NFflFGNkdO99A5Qv+MgYWIEnP347jCuvgkZINGFe27ROVYHaYE2PEOLP8sJ4yMWFQSJRQWx+8bzQ76CPAQUCCojuFddrSNIPZMnimXJTh3Rp1TJQwsX7vYDXPeP0KvKfJ36UX4YtMEo42iiu+wZ4bwzZrBIuHO/ut1+we51k4R/89kvxpmuAL2TMTt7GO29Pl107V2hu1HdNqqJoaRMo4qKlVFAu+xQwHnHJp4gjPAHxy5csWSLt27fP/viCmgEFAgrkKAUIb9GtW1f5Y84U6Xhjupx7Tpp6DOZoF+LaWK1aZbPgQ4hMfh4LKIZuubmx+Unurk8/uVwG9OsgJzesKH2+m2WLhT3iadZCvTpOPbWK0ipNbru1iVppl8isQ06yp544J/O3PSFPFB5yMLLkC3r+ufNkt3qClShRWBUdx5hiNWuW1RCA1VVAWMQIuD/5dJJ89OGlmvuxtDTUPn7z9bUyXL0i7n8gJNwgD9Il7evIHhWcV6pYQqZNuU/mzHxAc01U9cT5zrvjTF+vvqqByaPW+fW2RpH44MM/2G4aT7pw48ss6DipWrWUeveFPNNQJjbW8TAWINIzQYHW7dPLTdmVqzbJZ92vMOHdPtZxr1IPGizmgO++m2kUdeTUQlFJ/r2LL64lo8csMffxjCujHoWFCxNGsbrxlPN7FnhKhqNttH2i4ffeH69hT8oZRSx0oB944uQ3OPLIFLm0fapJdD5i+M/yzTdfm9C/uTFOLNZ79fpC5syerkmfQ0nXc6Mf8W4ThfZbnUOhKnmv+3xzvSxZ9Ih81OVS01S4dy3auc1vHiJ/Gd9t+fJFzbvMOX/MoQi7r9bwu8w1l15aV7+zovLQg80Fz10U5yi8/fre7ZMr5LVXL5QSxQsZj9nXXr1AXnj+fPlhQEfjAfvsc8PUe+IyU2bunIfMNbyDLYQbs9fciXdvxw6NDvIWi/TN0160NLR9s8fy6v1r5z+EEKedVsXkyCRML1CgQPgtYqR5GaXzRx9PkOOPC61lPBdon+yAo8dNHVK137t1Xu+WmacoN/o9YsQIzUPxo9ItTc45O03f8dzoxeHRZqS1Opr55LprG6qxzYnGUOmeu0/VOeJyM2c8+Z+Wxuv+026TDDHz67eT19+URienyfXXpsnMGdOUd/vWhFNM9jE1bNjQ5Bontzq5xQIIKBBQIG9QYPny5dK164dqLLjFeNYcc0x4nitvjCo5e0mUn+uva6ipiJZojskdmZ3Eg80Z/SMc7+63X2Cvk0z8g99+KXPQwUncKVCqVIrZN9SpvUc+/6y7yQ0aTSPBFx8NlYIyh0aBQkfJvr27NBvtpkPDE9QOKBBQ4LCnAEmlP/nkI0lLXasWKGkaIuzwWMast1nNmgfC69VWBd6yZRsjvhPDhi3UkI7L5ewWB8KMESYGRZpTsFeoUNpBuAhPNmLkYvX++FqTj2/RED6lNYRD3SzlnDiwJqOPCJstEKaxmip7vtAQcoSCACpWLGaO7dqFBLNWAWYu6j8nzjc6j5Kp01bK3ff0M38vvjRcvceOVkvC7aZ4tOOzuON1LFy4gCAXJVwnyk2gdu2QIm+ZWtgBz7/4q/GCMz/2//u293Uybkwn56Us4+WG17OIhrbR9An8w4fdJs/97zxOjUKC8Jzz568zv/Pjvzq10+T2W9Plr1ULpEeP7kL+ipwElBK9e38lq/9aKrfenP/mLRsGEo9PFPYovY4+OhQ6NtK7Fs3cFs085H6eQ4bMkz/UE/iUZllDRp5//gmyS0P/otQGwvUdi1m+b9tHFHyUr6GGEvbaEUcUNCEvFy/ekNmFSGO2BZ3zHNcKqWLRCdF885S3fcnO+uBsj3NC90QDkeZl1pgTNRTlVdf0lH7qSQjYMKbR4M/NMqnKVrRT5VfTpiJff9VLPSeX5nh3Jk6cKCNVEXfl5WrAUf/gtTnHO5TPG4y0Vkc7nxx5ZEHlBzS/T51ymRR77NGzJF3nxZHKSwH5+dvJHHQePalSJdV4ns7X8LRE3QggoEBAgYAC8abAn3/+KV988bnUrZMh11yVqp5Z8W4hwOemAFExtm3fLSiqAMJMb968yxjk2bKReHe//UIy8Q/Z2S/Z8QfH7FOA/Vyb89Pk3FZp8l2fPlEp47Lu+LLfdlAzoIA/BQqHBJOyc42a2Bb3LxfcCSgQUCCgQBgK4AnXvfsnGkZwhwqn0lTgG6bwYXALgTcCfgu33tZHpmu+LwsnqJfDl19cnXmtroaldIJbCOy8Z89btqwuD6sXyetvjDJ5T9568yK5qWPIO8+Wsbkf6At5mE47Lavgm3LNz6gqizU33R9/rDV5o2xeO3u0uOzR4iTEwspVm1V50cR4ftj7zqMdc3bG58QTj3OeCcBjIVTerFmr5fLL3IrLlEzFnW3Tjtf+dh9joa27rrNP9h7ekEM1dw1ecGedWd0oG5whSW25/HQsXZo8UKmqEF6rG+DPpGPHW3QOyZlJBIHeyhVL1GIuTcORRqfoyEu0t8qbtLSDx5add809t0UzD7npNVvzuwF49DqBuQiY80fofri+m4Kuf4SRdUOBAmmydasanO2HaMcc7rs/lG+ebrhpaPsWj2M08zLtvPv2xXLFVT2l/WU9NBTrcfJlj6ukXLmQEUY8+pFoHHihafoW9WT9Uu64o1PUOZgOtV8o/oZo6PwLL0hTZebhYWx0qDQ7lPrRrNXRzide/UBZf8wxxWXtuq0aHjcyTwOOvP7teNEhr1wrXz5FrroiTXmFyeptXUE9h0/OK10P+hlQIKBAklNgw4YN8uWXn0v9eiIXtD6Yn0zy7ufZ7uEVhwEy+djvvutU+err6XLdtSdlGU8k3t1rv5Bs/EN29ktZiBD8OCQKEKoS+Vrf777T/WdRqVq1qi++gLv3JU1wI24USC0sKSjgdoSEHnHDe5giIrxVtBBL2WhxBuUCCuQGBcgJ17t3Lyl6ZKCE86P/ZRp+jXBI9o9QjoD1Qvvtt+UHVQ0nCKYwirJXX7lAfhx8s1SoUFxuvrXPQXnpYDgAcBEeceLEP40SKnQ19N/GX+d+NGBxWqZ3xsy/fKsdyvh8kcbhBoL0vXv3yYCBkUM+2vH6NRtP2tIGseyfe+FXefmlNnKZKgqtss6v/fxynVCV112TIpv+WaO52vrnyLDmz58vkyZOMiEyjzrqYEVVjnQiFxuJx7sWzTzkHmLp0keYS+PGL8tyq0qVkpozLlVKaSjd7IDft+qcS6Mdsx8u+hXvbz47Y/WrE828TF1C3k6ZdK/cpfkxh2tuz5Mbv5Mlf6Yf/mS6fv65aVK+3D4NPfRNFsOXRPURvr1//77qUZWm4adzxlAgUWPJK3ijWasPZT7ZuXOP/PXXFqmuEQUOp28nrzx/r35WrZqqRkqparA0RHnoIKKPF40O5Vos8olYyh5Kn4K6AQUSTQFkGd9++7XhKS5oHazviaa3Gz9ecTNmrtac4Utl8JC5coGGknZCtLy7s06y8Q/Z2S85xxOcHzoFmjZJ09Qs6hmn+4bt20PRm7ywBoo4L6oE1+JPAbzi8IgLINsUYPF+++231YW6isFx8803q+fJaXLnnXfK+eefL61atZK77rpL8yydLldddZVJ3lxSk13s2HEgFnK2Gw9TMSMjQ5555hk54YQTNL/JufLjjz9mll69erU88ojmivnoI3N0b2bIf0EdJ+zatUv+/e9/y2uvvSaPP/64TmLfOW8fdE759957Tx599NEs9yK1naWw/ogVTyT6W/xeY+TeCy+8oEk9P5D//ve/Jsm2Le8+DhkyRJ577jl555135K233spyOydxZGk4F3789ttvsmb1X3L1lfnPE46QRTt2RK9g9yN/mzYnCvnX7B+5gwDyygHDfl1ojrH8++TTiapM2mtyF02dfK/xanjn3bEGhRUiZ2Qc8Mpr1qyybN6yS6ZOXZmlmSlTV0hZzYVG3rhw4MZJaDjCWn7QZbwyM+qa4ADCSxCa81DG50CX5TQez4RwleSaG6+KgEWL1mfB/2XPqZnjYcxOGmYp6PhxqLS1qBYvXm+UcMTLtyHtUBgeLlC0aIpccVmqTJ/2uyxcGPs3EQud2KANGfKDWtSn6buft1luxhIrxOtdCzcP+fWpWdPK5tbIUYuzFJmpm/Dde/ZqvsyDPXezFMzmj2jG7J7n/JqK1zfvhz+716OZl1E+9PhiisnX99677UyurFXq3fxd3+jymma3b/Gux7O6pF2arFr5l/z+++/xRn8QvkmTJsnWLZvVUj4Q0h1EnARdiGatPpT5ZNy4ZbJDv4e2F9aUw+nbSdDjyjG0Z5yeLsWL7ZMRI4bnWJv5vSH25h06dFAP4zvUKGO9yWvXunVreeCBB9Rw4yS57rrr5IYbbjBeiJ988omRBXAt0bB48WLTr2OOOUZuv/32LOGIw+3D/WQHixYtMnjY53fq1En3KlkNgtzjWbFihZHh0JYTwrXtLGfPY8ETDf3B6zfGWOQsfvKKnMZh6ZRbxylTpsjaNWuMYZ7lA3OrL4dju1ddWV+OUiO9Bx7SnJr1KmQxQo2Gd/eiWbLxD9nZL3mNK7h2aBQgTGV62i41QhzuiyhvSwV8hxXcSDoKFFJF3I7VSdetvNQhLBzatGmTaZlHriw+7i5dukjZsmVV2FFM3n//fc1BMNIwTVWrVlXPlIlSuPCBXE2JGC/tV65c2bRLoujrr78+M//OpZdeavoMU9u8eXPD5No+EB97yZIlusEZYS+ZY+/evWXbtm3y8MMPy//+9z+5//77TbkshRw//vjjD0FJAz4nhGvbWc6ex4onEv3B6zfGN998U5Zrkl6YcxSIN910k1rLHuzxM2/ePPnXv/5lytx7772CgKZnz56myzmJw9Iot467NTbUyJHDjXWqennnOzjvvBqy7u9t0q27CuA0vBnHv/U3ypsNG0KWNNbra9eujMzxr/t7q35reyJa6V98cS2pqbl6enwxNTNHycqVm0zutz///EeFi6tkz54MxRXCvW7dtsw25s//W376aYH5TXil9u1qa+6nkKdJhQqhEGNYliGkB89LL7TWPEdppi2LBEUegqiXXmydyfTaMG5/6xic4IWTRMp/rtgkLVt9rHPeIqPk++/TP5mEy8ceW1KiHZ+zHXu+QvECWKs7IZpnsmXLTkE1keWZaOgpwCoN//vkOabM2ed8JJ/3mKI5R+ZKx5vwrDiQ16lC+eLa/mbzvBcu/Nu8A17PIhraRtOnLaooBQjLwXs1ShUVKCt416hP3HyAhNZbt+6O+H6ZwnnsH0nRGzRIl59/PmA4koghzJ49W/7ZuElanJn3w89s3J/g3Jno3NLMfs/OuYN70bxr0cxt4eYh2uE73qsfFXksLTRoUEFz/Zxs5jxnLs3RY5aYHG+339bUFPXrO3Ma93buymokwZjW75+XbVuU27EzZCgQzZi95jlw0Rb0ZT4GovnmKRcNDSnnho0bQ4ZarDcWNm0Kff/Oa9xzzweR5mXo1+XD3zLnD+ZU8gYefVRo/bDt5YVjiRKiguFUGT06K7+aiL6PHz9GmjZJVd49EdgDnH4UiLRWRzufgH+PKvrn7A+Ny+8+381U/rWatG0bMo46nL4dxp9XAUF58zNS1Ghnelir9rw6vtzod7ly5TTc7olmXSDdwBlnnKHGSkOkc+fO+s3MkQsvvFDz+PaQrl27mn0y8oPXX3894V19+eWX5bbbbjPGxBhcPPvss6bNcPtwCvjJDlAs3njjjWaff80118iVV17pOwY8JpAXfP/995nyEwpHatuNMFY80dCfNvzGGK2cJZy8IidxuOmVG79HjRqueYvTVGank0sAOU4B8qjfcnNjlaf9Kbfe0iRL+9Hw7n77hWTiHyLtl7IMOviRMAqQ+eLsFikyGeO6rVllXbbRQBFnKREcE0sB4xG3TtuI3aI6sR1TwcdOK3T856CmuIfHl9OrjHOsgyygJICZ4Q+BM8IHzm0dL5dUFE1usP2weNz3UdSgjOMPwJOqYMGC7mIq6E4zHmqENcJLjT5ZYCyAbYtz+uv8zTXAq4+hO1n/16xZU/AOK1++vGmXyWbatGnGmgwh5Nlnn20qwFzDbNvJCKuzpk1DgjAnRhRxTZqEFkfG0qhRI+nXr5+zSJZzlH/HH3+8CeNkb5BfI1zbtpzzGCueSPQHt98YUaZddtllpvkjjjjCWP79/PPP5jfPw747/fv3lxYtWkiBAgXMvfbt28tXX31lzhONwzSSJP/YjOzR76zhSfnTQvyKy+spY17ZhH1s0uxdKVmiiL73ldQ6tIIR4IwYsUj6fj/bPI0XXvzVKG1QoowatcR4nz37v18yBbdejwxrrcE/3GS8s85q+ZEcV+NV+b9HBknjxqE2xqoijb9nn/vFVP+69+/yg+YOAwoVSpP7Hxwo7743Vnp9NU1g8Lp9coW5V6ZMUeMh1/XTSXLOuV2lpIZ6O1EVfj8PvdXkk3tA6/XvP1tuuvlbefKJlpm55bDW6vv9LIPjrrv7yYQJy805/7xw3nlHM/n3oy2UcV4hZ6syrukp7xnlV6c7m5l60YwPwZgb8FT7z5MhRcyAgXOMoswqGSI9E5jx/zwx1KAc+tN8DXM4R1BuvvDSr+Ya3nqTJ6+QSzVc6McfXqqC8p3SQRVwV1/by3ji4I1mgbb0s5dGTd6RQaqom6lhOL2eRSTaRtunevXKa660Rub9adTkXSH3zTtvXWyUJu0u+dwo4t58a7RR0G3QfDZPP/OzrFlzQMFh+53Xj00apei3tFbHljhv/TlzZku1amkaJz7vUmv37gzz/b/40nAziO/6zpTnXxiW6eU5b95aeVCtS4He3/wub709RvNqhXiNSO/a8CjnNr95CIU37f38S8hY4Kn//mw8UE1n9F+XD9rLjaqMu6BtN/ns88nC3MM39stPtyr/lK6CLu++o4x+XkO3onAbPXqpfN17un4fOwUDgBX6naO8Zk6k/ZdfGSHL1aDh118XmTkk0pihjXueK1w4XfA0HjFisfGcYW7hm4v0zTPO7K4PS5dukFdeDSmWPu46wSgsl2gez/89N8yQj3XgJ53bduzYLV7zQaR5GSSLF2+Qa6/7SkMxzTB5Rpmz27evY/DntX8N6qXJunUb1Ejm74R1He+Af/7ZInVqB9vzhBHZB3E0a3Wk+cSiJvzk+x+Ml0ceHSTX6Jq/dNkGGdCvg70th9u3kznwPHhS0+Ro3Jdw7/lDJY3dx//zT1ZZBvt+/uze27ZDhBr2mxaQVSB/sHt/5Bz8tmEhY5VluCPg0A59JD8We3tkGcWLF5fHHnvMdiHLkbx8KGkog7GxE7xkGeB2jseWt+Oxv72Oq1atkvvuu88oBevUqWMMgO2ePNw+HFxesgOewdChQ3WPFcqnjUwDT6iVK1d6Na+RKYpIs2bN5KijjspyP1LbWQrrj1jxREN/2vAaYyQ5i/N98ZNX5AQON41y8zcG2Js2bZWTGgTre24+h04aKp2IQcccoxZWDojEu5NX2m+vk0z8g99+yTHU4DSHKFC7VqqudyJz5871bDFFF60Dq7BnkeBiQIE4UGDHKtm34ENJOeFekYJZGY1DxT527FjB+6tixYoxoYLBhAEcM2aMCes4cOBAk4i9W7duhmnFCqthw4YyY8YMQVnSq1cvEyoR5nDWrFlGePfhhx+q0HKz8frCygtrJphLLJ9g6lBCEWqB8JH8IfAjjGPp0qWNFxcWV7RB+Ea82wi/gLIK5Rm/galTp8rzzz8vV1xxhblHqEY3o00YB8bTt29fU4d/X3zxhfEqg/kDH/2xSSNhik499VRp166dYRYZG9fatm3r2cdTTjklE2+4E6YTLN2waqMvTzzxhLGksnUqVKhg2rHKOco1aNAgi2KT33jV/d///Z+p9uSTTxrPPujiB9ARZQ1jBr799tuIbXvhyi4eL/pb/O4xorjFexFvxXr16pliPBuu49FI+IZffvnF/BFiFHpay7zRo0fLJZdcYpj5ROOw/Y/muGDBArPJ49klAgYNGiSr/5oqN3XIn4o4SzO8ORDQAgg/sdyKN9AGnm1HHlnQCJaLFi0Utgk8M1B0IRQuVChdSpTIaqbPN48CigTHTuD6vHnrjFIH5pa60YIfToTeeAlWq1bKjMELX6zj88LhvBavZ8Ic/Oefm5TxL55pTOFsBwUgwrtixcI/D+ocCm2dbaJscLaHd2Usz8mJK6+ev/LaHml5TutMgUm8x/H2253l5JO2CiGuDmc41Hct0jwUibZ8X7NmrRY8aN2b70h1s3s/0pj95jmv9uL1zXvhPtRr4eZlnhthb/E4hvZ5HZ5/cZdcdHF7I5hMxFgwYhs8aIAansR/7U9Ef/MjzkhrNWMON5/c2amvfNptkuza8bx69Gw0PBPhKL3gcPp2vMafV659/EmGVK3W9KBUCvHqP3t6vn3STVjDy2hxs8fEGLZ69erGOBflDQos5BN4lv3nP/8xMoaXXnrJyBJQNHXv3t3IAL7++msVSF9kwkQOGzZMCBH5xhtvyD333KNe5iuMweiAAQOM8ox6KJLKlCkjlOU6cgcUbshNMBZm745xLjIO9uHs4++++24zlHfffdfIBkifQeoJjGw//vjjLMMsVKiQwXXttdea64ROJDXD9OnTzZ6YdokkQ1hL9p3ffPONvPLKK0ZugeKMcJDsrWnfq4/IcqIB5A3QkT253z587dq1majcsgOErtCBcJfIpwB+Q49bbrnF/Pb6h0yA8SKbAaJpO5543PR34naPMZKcxcq+GK+fvKJly5ZhZTXxwOEcQ6TzcePGmfQvscoTI+G198E/buwv8uD9h/d+wNIjN4/btu3ylSNE4t3D9TsZ+IdD3S+FG19wL3YK9Phyj5Qs1cCsta7a7wQqeRdFgp8JokChMuqxpEL07asS1EDsaFFKwfQSYvDFF180yjWsrmBea9euLSjWsNz69ddfDTMLA8V1mAoYVcIIoCTCE+zVV1819WGg8VKrW7dupifYl19+KZaphBElxCB/KMJQsMH44C0G0wvDCvOIlRDKPpQzKPVw64chI4Qhnm7RAPWwrgXwzIJJxyIORSAhDmHQ7XhhsPr06WPKevXR3Iji3w8//GBiu2PthgLz6KOPzlKL35FybFx++eXqXTIw05MPWpQgLlAMkN223U3EC48TLwpDLPectHHShQ0GzD/gbp9y69atUwv90QnH4exzbp9v0XwpxYsd7NGU2/2Kd/tWCQfeRCjhwEsbKOGASEo4yqCEA8qWLXqQEo7rzEduJZy9jjdH48bHxKzc8cNJPrM6dcr5Ms+0G+v4qBMO4vVMMNBAEG09mt1touB0KsXc952/oU92aevE427vcFPCQYvixVONMY2TLvE837p1mz7XgNU+1Hct0jwU6ZnxfZ12WpUcU8LRn0hj9pvnvMYSr2/eC/ehXgs3L/Pc8DzMD0o46HTkkakHeZYcKv2c9eHRaSOA3KNApLWankU7n1SuXNLkhPMbzeH07fjRIC9cx6Pd7VGWLP2uVauWkUMgs0AhhhII41pSNiB7wNurqiqDCC9IVBWUdE8//bTZq5ODjdzyGDSjFOnYsaNGvZhvhoZHEwbEKN6IOjNq1Chzzk0Md8nljgyDPS1KGWQMyEjwoEPRhpLM7mXpC3XI506fkL1EAyjUMH623n70kfNKlSoZ3MhukF9gzPrTTz8ZOowfP96g9upjNG1SBnkIe3HAbx/u591GHQxoUaqhrARQtCJPKlkyNmOU7LRtGnT9ixceJ1o3Tu45ZRlW9hVO5pETOJx9zu1z5pAgJGVuP4VQ+xgk+0Ek3t2vHteTgX841P1SuPEF92KnQLGiRMoLpUFx1w5U8m6KBL8TQ4EUfdUIT7l9he5g6iamjWxgRWkG45CeHvoUCBcIY4eiDeVPjRo1jKCZcAGER0QZZgGGEEaPsuecc45uno/UcG4/GKWXM+QiVmQW8JjDxR+AScMbDqB9LLXAAcBQw0xjaYYyDkUawBGBTDRgx2TLkysOvABjK1WqlGFa+Y2nmvU48+sj5cIBlmsoLVFKAjCc7o2Lcyx+uB566CFTF+9ArKGwEsTjDEYW5aEFYq8TVsELwrWNEtIy6igiw8VtD4fHq91orlmlopM2hACxz5h3zYanoH0sDi1AP97ZatWqmUuJxGHbTIZj4cJFZPOmQDiVDM8i6ENAgfxEge3b9yY0j2qhQgXVu3VXfiJZMJaAAoctBXbu3GeM5xJFAAzzaCOAvEuBbdt2mxxxhLKNxtgp74708Om56n7Uoj1ytILcogj7QoyCAWQayCfY02Pwi2wBBRn7ZXLIE6rRhnpEJsC9wYMHG+UYxsAtWrQQvOdQRpGjHEC4bCPjTJ482RgLgwvA4w5FH4Axst3j0h+UfwCed+SCs0Be+YULF9qfYY9WlmELOWUZ7IVpj2sAsgwUj+H6aPH4HX/88UdDAxvhxW8fbmnohwdZyttvv20UeigyCWmMUjFWGYSXDIC2SVOBYS6AYhPcfpDdMfjh43ok+YiVfdn3wUtekRM4wo0hp++xvmt2mwACCvhSIOAffEmTZ2/s2Jmi+4Yinv0PFHGeZAkuJoQCRSqFFHEJQR4fpMTXtsyDGyOMKCEgULoBWDxZJRdHrMrwpiPswqOPPuqubsJd4kXXvHnzTIUYhayl10EV9t/Dq42cYZbR9CqXnWvO8Bf0H3dq4q779REGwg9QJOFJh3UcdAKw0iNUhRNgGv3oa8uxabBeg1hSwciSQBlwMuSW9rae8xiubTYhFg+ee+EgHJ5w9cLdY6MAYwptYM4BGHQ2Q25wtw/9yPvHJiYncbj7ldO/scicP2+fyaOlr2oAAQUCCgQUOGQKbNmyT73hMjKF+BliyQAAQABJREFUUoeM0AMBRhWr16z0uBNcCigQUCAvUWDTJs3fu3NvpqFUIvqOB8i27eRzSlPDvIDZSQSNE4nzy55ThZyxqFIffWyI3HZrEzUojC1tQiL7F+DOHgXWrdsntWqXzl7lXKiFLIPIPG5g34xnFnIFa5jrlGWgfKIe3kzIA8DjBvahyC2IXmPB5jW3v91HyiNbcEK4PbyzXLhzu5d3liGMc3b6CA5kPPTTGT7Sbx/u1bazH3gIEs0IePnll+Xqq682RrTQ39aNVQZhZQDUp67FY+Uuzvad59kdgxOH+9yNk/v0zy3jCSfzyEkc7v7nxm+U5P/8k6HfT5oK5nOjB0GbyUyBgH9I5qeT/b4RnK7hyVkjxFlsgYuBpURwTDwFjkARt0rbSa4QczYRMQTAo4tcbBZQTlkgfxr3LeCpRWx1Cx06dDAhA7FMczJX5HjDW4xr4HjggQeM4gXcNh8djKMTuMc1lHZYsVlvNesh5yzLOSEk3Ao9Oy57dNehvB2fbT9cH9317W9wwGyiPIMpxHqLsBjnnXeeuuAXy7SII3Y7Hm7ESbdg27W/nUcY+44aJgNFHFZTKJ5srj2O4LbgxhOubazGLB48IJ0QCx5nPS/62/tunNCYkBfD9+cApBxhSHl/APII2vCdxMLH6tDiILwHFos5gcN0Jkn+oaTcujVDcwIc+B6TpGsJ6UZGRtZxun+7G410313e/iZ3T6xg30WvevHG59VGTlxz0tN5nhNtR9NGrH3asWNPNGgPuzK/z1BvuCIHPIwTQYAaNWpq6CblerJ+0oloKmlxut9X9293xyPdd5eP1+/catfd/+z2I7v13O0Hv70pMOcPvGcLGkMo7xKHfvXYY49Vr5I0mTsv/0wY7vfS/dtNtUj3neW9ykZa77zqOHFm9xzeqO2FteSP2Q/KhnVPyfPPnWdCSLvxebUfqc8Wh1ddey84JoYCy5fvla3bMuS4445LTANxwmr3+ryH7BUvuOACg5nflm8nLxv5r5z7T/abyCYssMd8+OGH5eKLL7aXjKyAOuAhxzt1Pv30U6OsI71H7969M9uylVDkWWCvjfzE5rdHloEBrxOI+EId93WuOXHZsVCXslaO4cQVro/Ocs5z0mCMGDHC7MWhJZ51RDny24c76zr75LzOOR5w5K+30YLCySDcYwnXNrIqK8tAtuKEWPDYen70t/fdYwwnZ6GOU/blJ/PICRy2/8lwZA5J0Vzgf8zNP+u7m67ONcp57i5nf0dTxq/snj04EISnZaT7FnesR/f34Fff3X64Pjv5h2efOdeTf/BrJ7ienBRYuXKfbFTlOwYvXhAo4ryoElxLDAXUI27f3t0iO9YkBn82sZKbjfCShERE+XPJJZcYJpOkqsT3njlzpsFMQmBc6zt37mxCJKIweeqppzJbRVFEomJn+EpuYlkFEwY88sgjJs56lSpVTEhELM9Q3BHCAA8p2pwyZYqxyho0aFBmrHWYGEIxfv7550YpZfGBk/ARY8aMMYw3CjAAppXY7wBlly1bZphgGELOCbMJQ/zZZ58ZCyZysqEMgrn26mO4BMcwingAYsmLlx0KsuXLlxvPOPqGlxzx42nro48+Mn3iH/HVu3btakJvMi4bfgHGmiTJKCyp41aWZSLYf0JiZsJqcIQOANZh4dreXzXLIbt4vOhvEfuN8emnn5YlS5aY8ZOsmufLOwHw3NgIAY0bNzbegI8//rh5ZmxeKAskGodpJEn+8W3Vq19Xfh4W8opLkm4lpBsrV26VFi376QYztIn94st58sSTE3zbcpf3Lei4sWnTLnnu+Uny+BO/Oa5GPv2u7yI5v83AzL7ZGvHGZ/Hm9BHG+quv50vbiwdlNn3LbcM1SXxWS97Mmzl84tW/cF1YtmyzdP1ktjz7v8ny7nuhdSxc+cPp3rZt+2T0mH3qwX5mphd3IsaPgGT3nhSZPOWAUCoR7SQrTvf8lIj5LF5jT4ZvPRJ9wo01Gfofrn95+R4y5bHj9kmjRk0SOl9gzFa/fgMZH9vSnNSkdb6X7vnA3fFI92359et3yNPPTJQXXpxiL+neJvJ6t27ddjnr7H66l9O9aJxgy5bd8tbbv8uttw9Xg8HCukcrkvlHDjgLXus3xkvvfzBT+ny3SK66ZqgJaWnLu4/f9lkoDz8yzn05+J1gCoz7bZ/muKyUJa93gpvMFnpypBGVBwXac889Z1JdkD4DuUWXLl0EhRl7eZRmb731liBjYG/JftOZToM9N5F/nB51CxYskPPPP994iyGzeOGFF4wSCMNa9v/UwZMMGQapH1Bi0TYKIeQNLVq0kFatWkmTJk1M9CDkKosXLzZyBwZL38CJ7IIUFMgqAOQiyAMIcQlu/qhH34kkQx46ctqhQMObDeUPoSU3b97s2UeD1OMfnlznnnuuUbohx+CPPHSML9w+HFResgOur1271siWUOZNmDDBhM3kuhegBEOWwFigF2MEIrXtxpVdPH70t/i9xhhJzuKUffnJK3IChx1DMhz5dho2PFlGjtqbL43z3Pyrc+33or+7vFcZrs2c+bdcfe1Q/f7VtWg/DBi4RAYPWabr5k8qu/zbXs5yTMSa+dPPy6XNhQNlxYqtWdpy/8hOn538w+NPTJRfhwfRVNx0zWu/h4/cK1WrHpvpge7uf4oyhrGbxLuxBL8DCkRFAX3V5rwkUv48kVKNoqoRTSGSDFfV+ORYecUKKIgIGUASYhRAfjnHnHhRrhBSAXd7N8AEOUM+ch/PM2dYRz45GEhc1KMF8NI/wlPSNsxLIiE7fQzXH5hipwdbuLIw/DyHSPHXw+Fw3oulbWc993m88DjxonwsShZwB0B7njcMmwWs8/jzCk+aKBy27WiOPDM2ezamfjR1Yi0D/T/44F05ueFeadUyfEjRWHEnW/klSzbrnBby+ERgtHXrHv0eivh201net5DrRu9vFqiwb7W88drprjv+Pzds2Cnnth4gY0ddou9n1mcQb3z+vUjsneXLt8h1N/wsI4e3Nw3BbJcpU/ig8Tp7MWPG32otXUKFHOnOy1Gdjx//l+beCOX2iKaCu3/h6jz8yFi55656KlA4UkMRbdM8lFnnmnB18/u9Xl9nyIaNxdWw4a4sHuyJGDeW4JMmjpFOd6TrfJ+IFpIbp3N+StR8Fg8KRPOtx6OdcDiioY9f/WTov1/f8vr1X37NUGV6qtxzz31GmJ3I8RC67P333pXzz0uVxo2yrrOJbDdRuN3vpXM+8Goz0n1bp1v3P9Tob4s89WRjcyna9W7x4k0aIs47v7TFHetx1KhV0uWjWfJlj1Zhq7rX7yE/LlMFxla59ZZasmjRJqle3b9f27fvUQPKXZoL7IiwbQQ340eBJUv2yudf7JbrNU85oQYTBRjGEmWHXF9uGUI0bWIAjLcbaRzYa9uQhX51UXgRpQa5ic1N7ywbjSyDSDDsS6Pd24MfY1L2vNRz7nGdbcfzPDt99Gs/3D7cqw5G1URz8dq3e5UPdy3Wtv1wxQuPG7+XfMQt+6KOl7zC4koUDos/miOKXoyisyNPjAY/ZaDBe++9Lc2a7pMWZ+b99d05bjf/6l77nWU5d5d333f+Zl9+z111Ne9leXWayFDDl1/li89bmb1t0aIFdB47YPRi6yVqzTy9eV/5ute5EffU2emz7fuqVdukVKmCOn/ELlewOIJj7lJg1uy98l3fPXLzLbcYww6P3ryTWGm+R4vBpcOZAprvoLAqr7atSBoiYK0FYwKjFI0Sjo6zQHsp4bjnxUA7lXCUQZEWixLO4oVZJiRhopVw2e0j9fwgFkadvGnxUsLRn1ja9ut/PPE423Ar4bjH++HeoLCp8mPmE4XD2c9kOOc5Xn75VWoRhUAs73uXYAlNyAKOMJVOOPbYopmhZGAuS5cu5LytitpQPes15yxPQXt9584MDVu7R/GHQhMSEoHftJuWdiD/DMywBVuGctZOh3NwWv0/7yi/KWsh3vhokz/bBmPgdzigLLQBGCPnHC3Ye+CxY7P3OP799w79/vCoPUAblFjO39RDIWnhr7+2yWOPj8+kub3upo+97nx2Q39aLp/1mGtvZR7t88q8sP/Eq3/uMs7fCxZsMs+sQIFUI7yz488Obf7558CYnW3kxfMhQzNk6bIU9V6/NuFKOOhz1llnSfESpeXb7zLypRUsY8zufEY99xzoN5/Zdtzlue73zXDPC5xznr3v/Nb5Vuzc45xXbFnnd2yv+X3z9r7X0d1v53zvbDfcN2vXD2f/bVvR9snit/Oic/zg8npOXPeiI9fzExASe8yYPRqKvn3ClXDQrVSpUtLi7JaaayxDI1bkHVtZu7643wn3e+n+vt3fkvs+77ATKL95826zLjvXZud6Z41Otm2D/8la3xo5gZP3mnffa05xr/W2D5TFIw+wc0R6eorhHWwZr6PX+m37THmrhPOjY5Ei6cYoyOL26l+48dh6fke/Nd79PKkPzWifvrqfD/fd8xrXvJ4F15MVVM8k3/ffK/Ub1E+oEi4e40exhiyDuSOSEo72kCXUqFHDUwnH/WhkGeSPi3V/jZwFGYZ7j0ubiYDs9NGvH+H24V51CEHpt2/3Kh/uWqxt++GKFx43fq/3wC37oo6XvMLiShQOiz9ZjtAAXmLkyD0atv7A/jRZ+hdNP+wa5d5LO/lX8LjXflvPrsnu8sgs3EDEHdZZ9ub8ARjrsNYB5codYZRwXuuhe8207bv7DR6/9Yn9Pu3btZ6yTnkHv90QbZ/DrdcVKhyh8/ABNY1X/+x4vNZod5/4zbj5s2Nhnea3BfqzZo0ufC6gHe4513rq2fadxf32HLYsEQTc4KavvQ/t7XO21/LKcc2afdJ/QIacqft/vKv9IE3dhZ/2uxlcDygQdwrsXq/mIPNFjmoWN9SEQSSHmNciHq4R8ra99957JpxB1apVs+QuC1cvuBdQIKBAVgrwLWFBWb589J49WTFE94tNJiFQBwyYrQyKaK6WA0xKdBiSo9Svv66Q2+8cbrysCEn0wouTpU3rY3WTUsCEWrj3X6P1dxXDLBG2iPANbS+squFKNsn/PTpOc+X9Iz2+mKdhC0JGDbY8HllYiX/y6RxTftq0v024o9KlC2sC7dJG0XTfA2Ok5dmVDK5Zs9ZrSIf18kGXWSY0UouzKiqjtVc63T1Sw/atklbnHKPCFpH/PPmblDm6iBx1VGH5vMc8KZCeKp90myNvdP5dqlYpLgi25szZoGFm4oMPQdx778+URx4bL+0urmro8sOgpTJo8DINJajGHD4wTOl6zXU/ybXX1FAB5g65/8ExGq5qi1oKl5HOb043IaBgZrt+MkcG/rBULmpb1WCaO3ejvPr6VE1Mn65hcJYYJr9jh5rGQh0r+50792qYntIaHmeDCkeXyzpV2HX5aLZ6LFSWESNXykDtG3VLFC9onmnnN3/XUDs7NUTOcg2hs0xOUws+LOGdz+6XYX+a0BZLl25R/BlSp3ZpDauzTkNjLjA4CblxxunlVaiSKn798yGDeW/wUIQehQqlqxXyLlmydHO2afOpPmsVM8rz+p6eUKOUGpIU9ms6qa/zLg8clCEzNErnddfdmPD5yhIDxXWNGifI2LHT5M8Ve6R2rdTMDaUtk5eP2Z3PBv6wRB54aKy+4ylGmV2iREHzzfnNZ17lN2/a7fnN3H3vKLU83m2+2bvuGWW+iZNPLmPmKN5nBAHv6dzKfFCrVqks33qNGiVMyLvvvl8sF7SpomGlVsuVVw+VU9VzlQ2v8ztmDm5+RgWdXw7+5vl2/foxadLag/pNX5zzvd98Vq9eaQ2FN0O6f45H0FZ58OExckqz8vLv/4zPnKsYeyx9OqZSUfUE/skINKpWLa5rwkx54aWpZi71ovse3Zh70TEvv8defV+2bK/0+nqPnHZ68yzh27zKxvMaueJWrFyh4TDX69qQovP4AeOQeLYTD1xYvbPWzpy5XqZOWyuvvjbNCJBY0/Dycq6hrGv2+8ZL2/0t0R97383PcI91bbDyAbt2Z8j3/Rabtei008qb6871DqVWr6/my57d+8xaD39yUoOjQ/zVfaN17a9iwlz58WFeaz3tE567r84LGRkaUlL5pokT10iLsyqpV9sWmThpjVx6SXUNk7dS3nx7uhx5RAH1rijmu34P17ljsHrEbdy4Sz3ddhoegtCTXnSEn+jy4Wwd50Jpff6xnrxIuHmYvvsB/IXXGg8/5/WN48V3l/KIzKFf9Jxvwl7DExx/fAljpPT2OzO0fxt1fporx1YuZqI5eD0Lv/4kw3XVaenY1PgsrZSmkbg64QY7eA8RhrFy5coxt0U4RtI74Elbr1493xBYyUDXoA8BBZKZAoRXzY48MdYxlSlTxmiVhgxZLJUqpqhcI3nXd+fYUKb47aXZZzr5V+faX61asYN41gsuqGL24la+QTs3dvzFNFe7VmmjIHrxpSmyfsMOmaJ74zFj/5JzWlYyMgrkJnN0P87egZy6hJx2782da+Y5LY/x7TcNeq1P8+f/o3KBEC/D/bffmSlXX3W86R9ylssurW72FffeN0qVRThpHGmURtH2mUg6fvwHMp5H/z3e4IcW7v4hj/HjuUwHPf6h0AonV4Gvge9Zr8ovxn2hPh8Unm4eDTnRe+/PUGOknUZutFRlCw2Ut/Lbc+Dx/8BDYzTt0loZNXqVvPzKVN23bJbmzSvoPjhFun/2hxrXrzUyLZ5ZvbpHGSOfd96dIYULpclrb0yXWjVL6XeZ1SDdY4hJc2nt2n3qSZ8hNU6oJW3aXBCuXxPyphQz3JCCe8lNgSOryb6dGst3z6Zc7ycC/W7duulEs0Tatw+FIcv1TgUdCCgQUCAsBdhoXq5JqoeP2KfWqhmqAAxbPClvnq2KsD17NO9E5aLyzNNN5JL21aSfKoCAc1sdI3/vt7YuroqdmsqA7FZhEkA4JbzjYHg//OAseVbrOstT5tJLqsljj5zMqeYXKGOUTSijABQ+l192XCZDA+P0+L9Plm97n6eWtIWEmOso2+67t74RoCFI5u+46iUUV1mDg38o8rq8f5Z0urOOfPjxrMzr8cKHlfu999RTL+WCmmtim8GPkPqO22tntuV1croK5CxgEV9PlWcAVmUotdau3SFXXnG86fuqVVvNGLHEwqPtoQdOUlpWlosvqqY1QvRGmOdk/hAiFitW0Ajnr74yxJCfdWYoJPI1V9cwgihyxVCv3cXV5IH7G8iatduNUNv97J57tqkKz8sZi8EON55o+oiA66aONeVuDSe5TBV3vwxbYRhxv/6ZwXn845ldfVUNg/PCC441CtXs0AbLtiee+k3u+1d9aakboEvaV5e58zZ4tJj8l7Zs2Sc9vtwr8+YX0HyrNxmBV072OpRDtoM+13QV7GfoZjInW09sW9mdzxAoozCvWOFI6fPN+UbAHG4+8yrv9c0w2vvurSdX6TeK50z58kUExTrWn2wq77i9jvmGn3qisbz08lSTX8L5rRfSzR/KexS3AKFj7Tzg/o6Zg/2+eep69YPrXv12z/d+3yxWxA0aHGU2yYS0GzKorTEUsH0Ef6x9ItxddZ3ngcKF04xyAQtjwE13NuJ+dDQV8sk/rNW/7JUhDU46Wee/ljk+qssuu0KKFS+rCo0MVdbsfxlzvBeRG8TqvbryJiin7r+vgbz84inyzbcLTUXnd8UF5/ft9S0571Peyc+Qc2WIGrc8+khD807Wr3cURQyP4l7vuI7SjPbv1nBWtVXZDpzdoqIxpDHnYfgwr7WePDQYBP3n8UZm/gAnRjpOWLjwH1mlXvJvvnGGETSF4y9atKhkeCsET/Sf8NZ+dOTbPv744tpeyHrdq3/h5mFnH53nfmt8uLkSA62NGiITA6O33zzD8Go2B+3XvRfovHucmXvhvzDYAryehbMfyXSuOjGjhNuytYhce+0NOea9lV0aNGzYUCZPnizkIqtfv3520QT1AgoEFMhBChAp49TTzjCGPtOmH+wJloNdibqpcHtpN//qXPu9eFb4fqd8g04892wzs7Zz/tHHs3VNLG7WRrtHRnEDXnhQ1kTWzRNPLGkMbNx7c+eaGa7ftOVen1A4/t+jY1Uu0MD0p8ONNYX8tU7AEAXl1SsvnSrt21Uz8opY+hxuvcaoBZpZcPcvHM9l67iPkeQqGF9jbHjeuZXVKGS7MR724tFY6+sqz4KM45abQyG1actvz4GhNnIl/v77VBOz1/tx6HJjcDRv3kbDvyGXuuvOusaohz3brFkbZJEanjdtWk7+/ejJWiZvKKqhw+LFe6XbZxlSpWoNueSSy7gUFgJFXFjyBDfjToEjKktKqsa73bIk7qgDhAEFAgocHhSoVauW3Hrb7bL8zyPlo64Z6lmUvEIqvyeCssQKTmFQsDwCDoQ8CI3pwO8QpqLKnMGcAiVKFDqoPNewwraA4gnhEUo4FDsIuizg+QBzBnN7tgqFhqslN9C0aVljnT1arZewkKpTOyTEsvVghAGszOar5ZZlUOOJD/rA3MKAAij5GFt2IT09zQiYETIDeAliyYWlPMIym4OPI/Sw4KQ/CsjX35gmz78w2XjR2DIcbRU85Ko66N9EFZhY8gHuZ2cu7v+HBTkCPKzG+LtZFXII5SL1z4kju+d+tJkxY72hE4oJAAs5mO+8Bn/8sVc9GDV0U0YZkxMukfkfwtGGkMu33HK7CoKPkE+7Z6hFYd6bt/zGl535jDp8j8wnbDrZLB/43kK0cc5n7vILF27y/Gbo4wknlDRzKh4dT+vmj7pz5mw0XhwYHQDMAbQ9dlzo+zzQtrmd+U3zy37fnLu/43DfvFc//L51cLv7wDUvKKbe04SugX52HXHWjbVPXm3YedBNd8LpIYTwo6MXrrx2bbSGovyq9271hDtTLrywba50n/BwGA0UL1FRFRrJzefwjtj3wcnPQDjne3ngPPR9u78l933n9//Tz3+qV1tI+QZeQlLZd5TfbsBT7eprhxoeokmTkCERcwxg69Fv+/04++211mNx36D+gfbdeXIJo4RHG+ukhVjX73B05J4Fr/5xz288tp776LfGh5srbT+OVqt8AN4RjwQ8IIaPWCHMy/Awx6tisd1FVU0Zr2dhbiTZvw0b9pm1ecvWonLTTbdGnbIiyYYRdCegQECBPEABDHzaXHChGsFmqHc04WWTv9N++0V6fmD9Do3D+TsSz0oNuxfgHGVNw5OO5tSs1+EisYRbDw0C/Reu3+71CW9wPMjKlAmtcZZvsLg4PvHUBLNHZx9hIZY+Uyfceu1UPrn7Z+v68Vy2P+4j7fnJVV5/9TQNS7nNGAli8IPHG+Dm0eCDGml0EQAvwKf/28Sch9tzEEUJ/gqA34IfY9819Kc/jWwHfmHFii3GuBzjIJSrGGHffOuvxsvehho3CJL431hNnfNFz93S8OSmcsUVV2XymeG6fICrC1cquBdQIF4USFElXBEVBG9dHC+MAZ6AAgEFDkMKINS+4467pGq1+rpx3i2DhmSosukwJESEIRNmDcUdFtQwllap4q5WvlwRIwi31y+/rLoQmm3c+NVyhoZe8wK88woVTMtSz5aLBz6s4Qn9NkwViCi0EgGE4oThhPmLBPVVCPdZt5YmzOMNHX4xyk1bxwr2UGwuXnLA47tKlaK2iOfRCvgJyUAfzlFrc/vHc4ulf54NHMJFNh9YrKGotGC9ZOzvZD5u0sfw9Td7NTfbHml2yllGsBYuR0VOjIXwurff3klKlKyi3qR7NJTbAdrmRPv5qQ2/b4Yx8p4+87+Jct21JxirW67xrW3avEu/91B+J65F+j4pEwnCffNe/QjX70htRXs/1j5Fi5dyiaJjLH1IVNnNag9DSJnRY1ON5z1W67kJKOOuv76Dhripp1a2u+W3CZHXqdzsbyLbZi1cud9D3rZj113723m8q1MdeeT/GhrLegxoYgG/tX7NmgNzhxsfQjG83J96ekLmrUSt3379y2w4yhO/NT6WbxwcGFLgeQx9GjY8OpOHwesP74JDeRZRDuWQi2Gwg2Ff0WKVjMFMtHnjD7nhAEFAgYAChy0FGjVqJB1vukmjjRTWPUGGGraGjFQOW4LsHzj7YRsRx9LCb70/1PXQa31CLuDc+9o+2OOVVxwnL748Rb3HQlF7uB5Lny2eaI5e/YumnlcZP7nKSzoW+CsiYDi98dw4WO9nz17vvmyMuqOVfSA3IgIAeyHkSFbmwbFYsQKqoEyRz7ufYwyfbrtjuBDKP5lh40YRIleMGpMil152uZx77nlRdzdQxEVNqqBg3ChwZFVVxC2JG7q8hohY8HsJKBwBSL4cK2wnu3QAAQUOEwqQ8PvCCy+SG268UZYuKy5vvbNHFUcZGiIp+QngVGg4pwPCOwH2iPIsIyPrfME1C7acPWKVTXxxJ+AV9+Zb0+VMjcntB9Omr9NwS8dm3iYn3bRp64ySDaGuF8CM1a9fOtNqzFkmHviweD/llHIaUnCunLTfMs7ZhvscBrGIeohAA8CpYHPSm3tEXeMPodGRR6Zr/q6QVww5oJzMt5P+eOfh9UdYUPJZ4cVIm4BV5BECc9LkA0wj+VecdHc+O+oiqAMIIzp//kZN7rvEKEzxAMQDIFL/TGWff7wThEAFskMbNjcwxcSVJzQomyKUoskOO1RW+tMvGfLOe7tl564KcmenuzRMWPOorNNyYmyFCxeWa665Xs5uea4qyPfKZz0yNH/jgW86J/oQ7zac31cs8xn1+A4t2HnMHt3zmbO83zcDrl5fLTA5JgjdCIxUT9WaNUtqrsvCJh+Buaj/yANBjjfA+a0X1xC0dh7h3SdUm002bsuaSvov3Dfv1Y9w/Xb2Ifw3G+qv7YPtk10rYu0T9clxacfsnDu556R7JDpSPq8B7+D43zLk3fd3S8becmrk00lq1w4fCjmnxpiWliYXX9xOLlDPvGG/ipkv8NxJJvD7/umj852237U92vt2LPa6PTq/fzzwJ2keNtZGgLV6t+aKs0Adu95xjfWaMEufdj1bc96G1ndb1h79+u211oe+qTVCbjtgsyr1Ldg57KEHG5hcvF0+DIXsjrR+w2s4+Q2//th27NGrf9yLtr7F47fGR/ON27mGkJ3MaUdoTjzmUnIHk/OOvhDunHLRPAvbp5w+bt++T/r2y5Bv+uyRps1ON4rvIkVCnhA53Ze81N62bQcE0H79jkbW4a4brYzEXS9Zfu/JQbemnGwrWeibH/tRuXJl6dTpHql0TC3p+ukuk8s6WcV5zjWGZ8HaZ9c/51rPPedvyvDbCc77XGe/TOoNoNU5lY0hrvmh/+DD7XrvXjf91kNbl2O4frvXJ9ZFjJbJ5Q4413pzQf81Va8ulHHkwGV/AMTSZ8o7++TcN3HPCe7+cS/auk48nHvJVTBO/Fbz7p2s8hD2OTwD+0yp43xurc9Xnkpz5CH/IDJGv/6LDQ8Tbs8BDsvTcT5TPQ7POL2CkNrjy57zzXPnOrwEHvWjR/9l+kB6D1IJ/KZ5upMRmOqHjyTf+C5JS68kd955t9SpUyemrqY9rRBTjaBwQIFDpYCa2u1bN05SSp2kfswHXHqzi3b58uXq6lpSBYYHwrFlF1ci6+3WZFbvv/++nHfeeXLbbbep8PdIz+ZIvNyuXTvd1ByheUAaeJZxXxw3bpxq4M81seybNm3qvh38DiiQUAqsX79eF29y8RzI0ZXQBl3I+f4bN26q4RSLyshRS2TixAwVuu9ThoNQZ67CSfBz4sQ10keFRLjqH6eh0T77/A8TJhHG5Odf/jRCo9JqXV2x4hHy1dcLDNNCKABiZ3/Za74Jx0b+DVz8iVGOkIny9eqVlt7fLJSemlg4lOssNFhCVf6hDC45kywU1ATHgwYvM0zXTxpqoKiGOsN7xFqcEXZp9ertJiEx9wDCGhCKknBLxO8mpjj5WhDAxBuf7WfpUoVNCLm6+/O92eteRxSG0Oj1ztONlVrBgqmyes12tao62ii4Jk9eI8005jjCvR5fzDPKqdNPq2DCUpKcmJBryzU3258rtpo2d6tFHoJ0BH9Nm5STnzSMwggNvVSkSAHDmJJsGprMUwXagIFLTc6/Nm2qaEiNZWrptUtDp24x4ZrId0cYTOezI5zFEUXSzfMitOeJGkoPBplExjwXEhzzPBDG85549a+GxpH3Aphmcg4OU29CniNhHrBwi5U25IAhjv+HH802zDLvA7H6neFGvNrPrWvIhUaNyVChn24kNheTiy5qp5Z2rcxamlt9CtfuMcccI3U15+X8BSv1u98g21WBWKliqj7zcLWS715257OpqugnNAlhS/i++ZbCzWfkVXOWL1w43cxb7m9mjX7zjzw2ToXCFTUv5HYZMXKV2chdoN8m82bXT/+Qo/Wb4pvF05awNhgVOL91PInJd8S3iACA7zlVde4oq3o65mC+44YNy3h+87Tt1Q8sTplT3f3+R/Mu9VLcbFKZ7yvot+f1zZ5Qo6R832+xTNB1pMbxJdU4oNhB/T9d1xKvecivTygsiqvS/TWdB1kryLcxd94/Zn2aobm5nHRnvvejY/K9nZF7NH/+Xun97V4db4q0anW+Me5JRkF8hQoV9DupJ3P+WKYCqn+MoKRSpVTzXkYeZeJK8L199vlcs66S15BvhneTNW3btt2Z31XjRmVNuCnLrxQ5QvNlKq9CSOZo+BlCsc7Td/LjrrM1D8cms07/rVbrtTSP7shRq7Ksd0V0bX3yqYlG+LNFFXaElCRMLMKrrp/MMesYQh8vPuzM5hVNGG/3Wk8eRYycXn1tmuET1v29Q1J1P0seE/iuKVPXGuHcyTof/E/DVyO8q1O7tMkD67V+79Jw4T17LTA562qeWMrwFH505BtfoPnnEFRiJNWv35KDeBG/eZjxYFDjB+XKHnHQGo8QMtw3/pE+Ax264Wu+V0Hcww+eZHLkkPe4mwrp+Jur3vSErWQe83oWfv3JqesIGvFI761e89t3FNN8cNebHGuWB86pftAOyqe//vrL5K5F8Z7MsGrVKlUadJIuXbpIx44dfbv64YcfStu2beXee+/VtT3dt5y9Ea2MxJZPxuPixYvVy76KPPjgg1GN+VDG8Nprr8k777yjIdCuOBQ0QV0HBf78889ckyfyjdSsWUtzS1WViZOW6P56u65Xe3X+TB45BkYV8Mlee2nWe3hmy7/+reuj5alr1ypteHsnz2ruO/hd9r/3PzjarCvkIGPN6/HlfOXfV5p9NHtz5uxjNcoMchGMfatXK2FScfTX/a57veax2jWzTetjffvNPve/z0zKwiucqOsxxrZvvjXD8DLw4dOn/y233VrbyGgG616EUJmXXlLdrOHwH8drBBtCLkbbZ7y8/PgP1mtCQFbWXPfQzr1+IvsJxys4XmnPU7dcBX5poho5YQiMcTDqUvZnpOr4ts+iTB6N/Q7yJNKdIBcYM3aVXKN5+pBR+O2DkGH8onItngW44R3I7QffRmhLDJc7v/W7HtcYmRbKuWXLtui16VKsaEFj+HSxhrgmB2GyAO/htOl7NRfyXlmxsoBc2PZi4wWHkW2MMCFFmVLoHUBAgZyjwD61YJzzkkiFNiKlTj7kdseOHasTdlX9oCseMq5EI8BjDQXb6tWrdYIr69sc4XBuvfVWueGGG3zLuG/A8LZu3Vruuece963gd0CBhFJgwYIFap28NWrFcSI7g4XgpEmTZMyYkZKxZ6cKWlOkcaN0FUQkstXkwo21GEJtJ3hd4z5KpiNUIObl9eZXB+8vrLdsvjVnO/HGB26Y/7S0rONxtuk+x0qLvsVSL2Rht08VV6lmI+AljIFdwuKesjCuTsAiDsWAhXXrCGG1T5n18JbV0BJG1bZHLj8sx3gmToimf87yfufZoQ2Kve3b94QNV+HXXk5cX7dun0yYtFc9OPdqyMcScuaZZ6vAum4mTXOiD4faxty5/8/emcBHUWR//E0CJCEJOTgSCPd9CYggAoqIqIgXXijgsbqu6+qu567rsbrreqyrq+u5uh6ofwVRUVFEUVGQxQNRkUMI900IRwgJCVeS+b9fDRU6w0zuTOb41efT0z3dXdVV3+6urnqv3qsVquidKXvz83TCbJcqjBvo81TTVMMjvr96yJbO3ztjj3uv8TxvUWU75n/wVYc5z7fvdWXqksq+8zb9yua7Ou+svUZV82TrI/QMfX0TbLpYV4WjM16wbK9f79bRrCWqVCmW/sf1l1NOGRG0SntvZj///LPMmvWpNIguUmWHS/oc4/lueZ8XDv+9339YwuH7iO+kdzvHWV58rwsKisq0b5DWSSdPk3lzx5TbpijvWw/FPK4PhR7mRXvowUHOy/rcro3vNwYizNVBBbheefnzmYEKdvr7xvt7xwcMmiofvHem8SZg59hzXgIup5z7fd0L5/mB3oby/YvZbslRy9Jhw4bL4MGD9XmoPwXYnj17tP3yswwZMkTbg/6VpoHm5O96r732mkycOFGF31/5O0XdlG7XwWVp2nbcp9/ZyjVmKisj8XvRej6A5zwzM1PnkO5Rbk4+++wzMyi73JN8HHTGy1Pf61gwoIuhdghgUDsUqfUtT8Rz9NNPP8mcOV+Iu+SgDBkMOUa09k9rp5zBmgqssdAfdgbIFDBwzbsd4DwHvHz1zZ3fTOf53tuI791WwDloo8NN4qZNBTL20s/k++8u9I7q839l8uwzomMnLO1Gj2onI0ZkmO+9r/w5Tq/ypq8+jZMxmFi5hK/EoZz0NcDHV5/jzru+0zoxRc4f01HbTtFHtb3QXoDi017PXtvfNXzlJxD7IPdavERdUM5TjwyFLv1en2jaDjX4Zj9dVtITiFLwGiTg0sZuQke19V1RK4q4mgLFSLSYmBh1pbFHK4KyFgY4hlEqGKllG5L71e9VlA6Nhls8BBzDeQhQsqEigVIC8RAHDUs7utZXQx8uKDHCzNmYco4eQ0PL21c9rongfPkRx1Zi5mCAfg4ehAkz5p6K0Q9hkXaOi02HxpbB8t27d6/hA3Y4DxwRwMy6uABTLDgXZUOaCGCAdDG/jg02XbC21oV2n697aeNxHd4E8NydcMIJOjJpoOnYzp//tY4sy1WroGgZ0N+lkwGXbeSFIw1fwilf+1B2a+3mi4O/OLCy8hdqOz1cx6mEwwj6JUuO9k+u1a48+IBHIGaF6854/vJr96Os+uiUG1C/NmyI5ehnyKmEQyLlTSztvIg3S39z+PnK3113z3cmVboNtxqXXtK59L9zozpsIJAvz2e8M/1AbevnQEfcl+goPrfO2VckbdtmyPkXDK1QABKo/FX1Ot26dZMuXbqYzve8eV/pRNaFWodFySBdEhP14Y7g4K8eskj8vTP2uPcaz3MbtdyoTLDvdWXqksq+8/a6lc13dd5Ze42q5snWR6hPKwpV4VhRWoE8vmJFic4BB2VskfTq3VN+d/0pWl83C2QWanytfv36mbpu3rx5Ojr5WxUMqELhJJdaMYWfQs77/bffIgjIygv4Xtv2CFwlQpAFS8+O6oWgove5vG+9HSQDoVVlg6/vd2XjQtnXunW8sczt2tXTRy0vf97pLl2aY6x4vffj//hxnXXQSlOjdLdcnef5esfR30PA2qlsc8bz3u+8F87zAr29enWJKt/d2uculr79+sr4Cacc1b8OdJ5q63r++r92mgv0uW1fGddEvxqehHBvECCrwLnoo6Nfjr49Fsgx0K9yyjJs/95EPPzj3U+38g6k7y03sfHQ98e1bLBx7P9Ary1Dp1zBl7zF5mv37t1l5BIoa9euXXWQSonhiPPydeJRyxTHp0yZIi+++GIZRRyuC6ZOWRPkQk2bNi2VNXnHg1zIyqVsfvBOQn7i7SHKlssph7FxuA4+AnhOMHdcnz59zMDib7+dp1bf+9XzT5QcPyBa66zgy3Nt5MhX39p+w73bAc7rgZezb+7rm+k833sb8e11nMdsG70q33rEt2mVl2fndZzb8DgEpdW+fcXaJzzyvbdpOs/1tV1ZuYCvNpAzv2BSXvClhMP5vvocJVovYeCUvzi+2gtIy9/5OBbIAHH1jz8Vq2cVtxw8FKV980FGAef8dlU3PxWInaqbLOORQAUEEruJZH2iLXl1sOqqn8cQDZI77rhDLWe+Vnc0I+Wjjz4yDapXXnnFNEavvfZaNbU9VoW+S0xD8c0335S77rpL+vfvL7/88osZ7QXXC2hknXnmmWbk17Rp00yD67LLLpObbrpJR9ieYl7W6667Tn3HXncUlBdeeMF0ZqAARFpffPFFaeNtzpw58uGHH5p9F1xwgbz00ksm/j/+8Q/TOP7uu+/kjDPOkJtvvvmodAO5A2W+5JJL1C3Nbp0bYZfOfTPOzMfz0EMPye233y4ox4QJE2TmzJmmcYr/O3fuNIoSuOB89NFH5cYbb5TZs2fL//73PzMS6frrrzcuL4YPH66TZv/aLJMnT9bJPTsZt5533323EVhi3p/HH39c/QnPM7w7duxoGq3gBmZgigYwQ+QRQIcODVksa9euVXeV841rwMTEaB09LuqqCC7/ym9oRB614C/xuEu7yLhLgz+fgchhZUbiByIfgbzGli0lsmiJW5YuRcPepYL03nLGqEH15ha3NsuOb9WAAQNMGwOj47/55n/y7be52ilroJ3vKFU2sr6qTd5MK3IIoCO98OdiVdxDAF2sLmF7y3ljhoWcAs55xzBQ7dRTTzUDj9B2/mjGDzqHnFutaUVdm4b/6Hkni4q2YQH7j38uNHOY/fWeARWdXuFxzC0J11iwVoXLrMoq9itM2McJ/5uXZa4FV06/ulL7zlUMcPtbm20FuL22rn0njO8SVC6jfKGxo9i//U6071lslO/nX3CKUXL4Oj/U9i1fvlyuvvpqVTAf3f99/fXXBf1l9MUffvhhefDBB80cNq+++qqRTbz11lvqwvscnRPzt9rW+NZ41UGfGp51duzYIRdeeKFMnz7d9O8x983WrVvVkrx5GURQOnn302+77bbSc/75z38aOcCPP/4ouO75559v5Cf33XefuoBPlfnz58vf//53U4+VRgrwBpSI3nIFlB/TiUAZ6S1vgdwD/Up4g4FsY8yYMXLDDTcYhn/84x+NfAJWVU888YTxzvDll1+agd6Qdbz33nvqem2jgAtkOGDtlDWBP64LGQYYPfXUU9K5c+cy8a644gojO1m0aJGREQEXrgW5FgaVQF715JNPmsEa/uQwAUbMy1WDAAakw1oXU86gT/Ddd19rv2C3KnsbmIHFnTtTvuULa02/mc40MYjnoxkbtK6KMXOkw0KtrgKs1J59bqlxCX/ayNbValfU5re+NsoJd9pofx04UGJce3f2M6VGbVyrttPYvLlEfvipRGX+6gWpcZzOITvYyK6tkUhtXI+uKWuDItOoOoGivTqc/TF19jtOVd5dqx7fEaMmrimh3EHja9WqVUZhg4YPGrNoCKEBCks2NGQxB9add95pXO+hsYUAJRGUcjh31qxZctVVV8n69euNNdhf/vIXeeCBB8x5UNphIlaMXkKDDi+wdU0JRRQaS+3btzdKpk8++cSMpkLnGkqmv/3tb+qDf4Na83TTSSwXG8sxKOsuV5eVmBvvxBNPNA1jWIqhIYh54mz+zMUD8GNHX0ERh7m60NBE4+Gxxx4TuFEYP368KQNG4nXo0MEoPNGgRyMUDfO3337bNEq7d+9ufOSDk+W3Tv2t33LLLYJGL8z0wRgNT4wMQznRmMWIOnQM0LhH+rgfUPSB6eeff24aMQHAENGXCCbXlOXdCIxyxPPz888/aiczR9LTGugcHm5dolUJTyF3eex4jATqi0BWlluWLdfG8DKR3blFah3QUr+9A41AyVqm11fe6vq6aJug87127QYVfjaQY3Vq3b59onVke11fmemTQOgTWLtWXdYuduu8psUSExujA3OONx3phITKWUSGEgFYrECo/f3336pb7iKdM1YV+/2jdJAC2zahdB+Z19ohsFvdTmIU+8+LREexi/Tr19+4fkQ/NdhCTV1T+uv/YmAPrKbef/99I7OAxdsxOi8t+tOYHgOyCCiMoMiHW0wMQIbcA3IJ9OswyPVXOg8clG3ff/99qbJs0qRJgoHEcE3pr5+OgblQCi1dutS01TCfGQYUow927733GtkAFHHPPvusyQ8Uft4ykkDeJ2+5wpYtW4ySy1veAhkFBgWjHBhEDaslyJEwINnmH3HBtWdPnVNK5UPYhuwGsh1Yw73zzjtGPoLyecuacAyWbZiHD3InyE4gE/GO98Ybb5h5+nCPIOuAkhUDnRHAFLIQuMnEIGd/chhzMn9KCQSLa8rSDPnYwPv2/fffycoVq9TyKkoHFrvMwOJmzfid94GLu0igSgTy8tzG/eTiJS7ZsbNIXdW2VkX4YDOooSIrwSpdyHMyXVNWAxqj1AaBBtoJjtM53eCesoaKuJpkB0I8NBStmwU0iGBxhgYMGlhwFYUXD+4BPvjgA9PQstcbMWKEQJGHc9G4QmNpxowZxsUkRq/YAKWTv4A0YZEHZSJcN8CnOtwaIKABhwB/1WhMQxkFhSDyPHfuXHMMSkK4HAjWAK4w3bXuMOAvHnPhgAlG8MFqDgo8jPSBa040hGFFaBlAsQZF3dSpU01jHyPUENCRAheka9MGl/T0dHMc9xT3ByPVMJqIgQRAAM8KOptYMDE6Oog/Llysc0Xkq1KuoXTtUiLdukZrp4kNWj4xJFBfBDCCfcOGElmp87isWOkyyre0tGY6j1NfM7o4GAVpdcUKbRAs+PZDePbt/J/kiy/3qSCogfTu5ZLu3eAmu66uznRJIPQIbNumFrO/FOviUuu3IunQsZ26rT1eMNgrnD0kQICOAYIYoIe2zYIF38l/X1JBe8sGKqgTrS/gco5tm9B7opnjyhLArA3LM9VqXpXv69YVSUpqkgw9cZCxOPJ241fZNEPhvPL6v+iDQ54ABRJkBxi8aueoR58cxzAIGP0iDHBFHQLruXfffdcMrEX5UW/C5b+v4K+fbs+1sgzIVzBQF4oEyDOgwEKAYhAWYfUdvOUKGEzsT94CCzrILU4++WQji8AAbgQrS7ICWwyQ7tu3rxmYDatDG+xx/PeWNcF7EhR5kO9gIFZGxhELHGc8ey2kAVkSBmzbAPkHLO1gLVmeHMaez3XoEMD7hgWD4O3A4nlqJdcyvaH07FGiS7Rab/E7Hzp3lDmtbwJ79+pgPW03LFvuUtmDzn3XJF6/T8fKpfpdwmCRugz14xOwLkvEtEOHANxT5iwIqvyiI+tPcYaGKBo1ULohoNFjG0VYw50iXCEOHTpU/vznP1eqXIiDxi9cWcI1g78ApRMahLD0wtwQF110Uempdq610h0hsgErttGjRwsmfUajE+4XYAEIZdutt95qSoFtjDKDOwvw/ve//13p0uFe9la3ZQwk4IsAlLZY4JYWzx8UxMszf5G583IkIT5ahd8udQ+gc8p1iNIRor5S4D4SIIHaIqByDVmj1itr1rplzZoS48aiVUa6Kt96GQE6BldEckBnAHUVBCwYqb5kySL56OMVMv2jInVbFCU9ukfpQIIoHf0eyZRY9kglsHWrWzJ17rdly0V25RSpl4RUGTDwWCPkhaAzkgIEr+gnYME8QwsXLtR5sRbJp58d1LoCXgC0/6IDjtQ5BwMJhDwBzBeLud9+Uav5FSvc4hYdoNK9h1x+RX8jsA75AlajAP76v5BVYPArLOGghENwyjKgNEK/GRZvsJ5DOhWFyvbTcT0oQzFtwObNm43XH5sHXAODiq1MpaJrBuK4P3kL8j9x4kQzLQgGE48aNcpYWfvKEzwjQeEIzz6QH8F9JEJ55YRSFPwhG4EiDtaSNviLZ+VT9jwM3sI+f+fb87gOXQKw6oe8EQtcxprBNz9iYHGB8fbTXUWs6BO0bEmlXOjeZea8rgjs2uU+PNhX1LtakcTGNVKrt14y7ORjpH379gGrO6mIq6s7zHQrJqCKOHf2l+Lat0Wt446M+Kk4Yu2eUaQuXGyACf/FF19s/xp3DPbP2WefbUz8McoIAaOh4FvdhiuvvFLuueceY9GFhpoN6ARDkQZBmnOSazSEn3vuOeN6AA1QNI7h/sFXQBqw1IM7BMw9hw8vRpDBkg4KOljMIW2bvq806mofXG3C0giNcYwog1WfFZp65wflc+7DyC+4A4Wi7fTTTzfKTOeE0LCQw+i9tm3bGtcLdtJppOGLlb2XOA4XPWgsM5BARQQw4hALhNywPFm5cqV27FfKtA83qIunQ9qQbagKObe0b+dSN7O0QKmIJ4+TQEUE1IuasXpbt75E1q5zyc5dRSoY1vesYyc57fSuxio6HN3HVcSlouMQrsBiHAvcIGEAwbJlS1Upt8bUVe3aNdDOt0jnTlH6HWYHvCKePB6aBGD5sm5diaxSpb2+ApK/t1if9xTp2au3GUznFPCGZglrJ9ctW7bU9ktLMxcR6oqlSxfL9Bmr5MPpxdqfiFaLWgjr6Oq2dmgzlUARgCMYDNzJVMXbypUlcuiQts87tJNRZ/YxFl61OYdLoMpU0+v46/+iP2z73ZgzG24S56gLQwxyRcC0F5hHzAZYxaFvDpeHNqC/DWs6WIBBuWPTw3F//XQb165/+OEHM/AY/XnIU6CcgrtKTK0BpRPyY2UnzvRt/Lpe45pOuQKmDvEnb0EfES4n4S3JGew9sGu47wTLQYMGGRkHFHF4Nr0HUDuvC1kPLOnAAgMprCWndzzIQ6xMBDxxLchLYAG5ZMkSM81Kjx49jEzGmUdcqz74OvPA7dolgHcaC+RomLYGSt/FS5fpAJw9kpgQrf0FkU46qLiDLhysV7vsmVpoEICoH5520G5YucplBuwlJMTpQJSecuJJ3U19if51oEO0WqD8LdAX5fVIwBBQ95SuPUtF3Pp2JHSuNhR8dKAASkxMrHIay5YtM41INHjg/hCm3n/60590YsZfjPUV5meDOwa4ccCcbZgAFwonjEjHOXDfAEUYAhpLGOWFRpdzBO5ZZ51lRiYNHDjQ+PPGaCdY4gxX9w9oDL/yyiuljTI0dPEhRUMJ+UFjDVZgd9xxh5mPDlp6xMFEyFAaQuGFxuKCBQuMi0w0wuDasTosqgzvcASwgxLx5ptv1kpug+GAewJLPyjC4EMeI/nB7dFHHzW8MIIMo3ZRHswTB//qqACR/7Fjx5ZOBg0FH8qP8mGePbj+xDnw4w1/6xhpBndDCOCFxieUmpjgGC4woKBkqHsCUF4dUsmYdQ1a91esuytgBCjcpPbp01ef4aHSRjuNJSWx+vEu1Lma9srX3xTLqtUuVdih8y/a6RGdE5EC77q7I0w5HAjs2aOWbmrt9uOPxTLrC7d8PuuQWq/o2PXodO0k9jVK8NGjz9LR2McYwbH9roZD2euqDPj2QuEAZoMHD9H6t6W2YVw6J85u+frbA+q2Rjsbu0pUQadNLPUGznqqru4E0w0EAbicXLykRIVLbpnxcZEsWVos0Q1ayjF9BhjvCsOHn2IsYKjAP/puoH0NLxS9VFF5wgmDpZlu78oplgU/5Mi8rw+ZNs3evSWmjkhMZHvmaILcU98Edu70vP+zv3LLx58UqQcLt8QntJXjBw0x/eABAwaatoPTZV9957my10e/Fe7y0c/Fd72qwV//F9NnQFGGeduhDIJsADKN+++/37CC/AEyA7iNtAEWcnCD/Yc//MHuMpZZ6NP/SueLw2BZuG2EYg1yDAwK8u6nIyKOwXUezoOsBf13zF2GPMBiC9ZkUDphoDEG5EJB9/zzzxs3mehLYoqPQAlGIcNAGZxyBX/yFpQN87eBAWQckAtBLgElJ+bAQzlR12JaDMwvB6UcrNowgBpWypBrPPPMM8ZFJ+415n5zypqQF7DBoGYMEIV1HGQZcPFp46Hd9/LLL5sBx1COgjVYQRkHF6QY5I38gSPm+3sPDTwAAEAASURBVCtPDoPyMHgIQIZXXXlisDCE/BGD9gcNOsEMSoqNTZTNWw6o/GKPfPNtsaxeI/o8lqjdsEv7BS59boIl58wHCdQeAR1XoZaibu0nlMhX2mdAm2HR4mIpKmku3br3M7L2M84403y/YChTT9bD37t0VIRmlYEE6onAjq/Uj4y6p+x+m2agep0/WIWhwYTRIFUNaLz+85//NBMVY3Q5GjAVBZiA44XFKFPvAGUEGrzOgAZ2eaPzcF0IHfEqYrENT2yjQYYKwjvAZQL223O9j9fH/4KCAtPARKOzKh0hJzNfcXEc6YG5r+O2rBhNh4bwb37zG9PQr0oebBpcV48AFNO4/3BrEs4BHdD169ebZcOGtbI9e6e6wRFJTWmgHWi3tM5wSUarKBWOs3Ebzs8By1Y+ASios7JKZGuWWzZt1mWTx2IlOhpuUtLUQryjEZhD8OL9vSw/ZR6tLAG0U+DWaPXqFbJ1yzbTtkhLayAd2rulXdsoFXrR5W5lWfK8wBNAzzQ72y0bN5XI+g2i31y37NtfrIKjOB252lldLHbRpXOlXKcFPvehc0VYVKxdu9ZY1qKu2LNnr8TFRiljuOV2qReAKO1rVK9vFjoUmNNgJKDjYvXdh8W8jmJX4XFefrEOfItRIXMXHcXe3bz/5fWtg7FM/vIERQ287EDZVZ02UVX7v/a9h9wEiiHv4OyX22PlyTLK66djQDGu530dyDh27dpV6kHHXifY1t7yFgw8fVW9+IwbN84MMMZ8cVBoQvEFJY4zYFA1jkP56FSwggnkPv5kOFYuhLScco+K4mEwOazooIjxl7Yzf9wuSwCDvOHBqjryxLIpBd8/PFP41q/RynTdutX67uVKdJTKLDKi9Tsv0raNSwchR6m8MvjyzhyRQEUEYPG2ZUuJkTms3wC5g1sOHipRuX68tG/fUetE9Bs6G4vhitIK4PGn6ZoygLR5KR8Ekvqoe8rZ4tq7Vodsd/JxQt3uQiMJjRxYs1nz/4quWN4H2lcDuqKOgh35D0WTUyOPbV9KOOTPun6sKK+BPG4b2VVVgDmZ+Ypb0XFbRjT0cS/h5oKBBOqCAKzl4OoDCwIatrD+9Cwb1Df7VrViPWgat2lp0dKqpVsb9FHqr92lVrUu7YjVRa6YJgnUHwF9BYzAfFu2R/G2datLhRNFRkENoXlGRmsZdEI7M9Ibo3udwoj6y3X4XxntFCwYLY16ar0OIEAnfO36NfLdfM8AgmZNG2jnu0TvTZQOIqAry/B/KoK3hHA1h070Zl02quJ+syrwDxwsUUVbjLGUOHl4J+M6BpYGDLVHAPUxrFOwiJxt5qHGwKo1a1bJp59vNHUHXFvpWEdV4KtrbhXUoS3DQAK1TWD3bgzcKTHuozZsjDKuozB4JyOjpRw3oKsRopXX/67t/IRSelXt/9r33l8Znf1ue055sgzn+d79eH+yFcg4glGWYctr1955hMINyjXr9hfeftprBemthEN8KMN87ffHxF7TyoXw38mzoniwBvfU5TYlrknAQwDPFDxIWS9S+fn5pl+AvsEvy9fK3Hm5xhyiWTMdWNy6RJVykGF4ZBf6qjKQQFARyMlxy5atJdpvQLvBpRblRVKiA/igeGvbtr2cMaqjqZf9ydGDpTBUxAXLnYjUfDRKEVfjNiK5iwOuiMOoJriJhNXZtGnTjE/uSL0NoV5uuLZYt26dcZkBf/dwWclAAnVNAA1bjDzEYgNGeG7ZssUsW7dukkVLtqsLy2KJ0pZs06bR6irELWkqyGrRHA3cKHVja2NyTQLBSwAWKmj4bt/ulh3qImqbWquoJyXJzS02SrfY2EZGMNGla2sZfopnzsXKWJgHb4nDJ2eop+y8cigVRlVj8ADcIW3cuE7nkthmBrHENIpS5R2sekU74DqAIN2lA1vYAw+fJyE4SgKLWbiZzNrmUd5v2QIXqh7lfVJSgiqG28nI09obBRzcwjMEjgCEzljgvg4DFdGWgaBu/fq18tmszUYxFxsD5QiUcqgrXGawEVx0M5BAZQlA8Z6lFvMQpG2GIE1HrxcUluhAHXyD0nWux05GiAareaciorLpR9J57P8G9m5j3ri//OUvpo6E+0y48sR8dwwkEEoEYKV5zDHHmAX5hnvVIwOL18uSX7YZ2UXDBugLaL2sA4vRJ0hP8wzGoUvLULrboZtXyB527YLMocT0G7ZmuYzHnf0HPO2FtLTm0lr7DIOHtDF9hlCTO9A1Zeg+m+GT8xx1TZk9S91T/lG9U5Z161iZQtbENWVl0uc5JEAC5ROIFNeU5VPwfxTKObgLwRwQ27ZtVWVGtuTnF5oIjXR+uebNo6V5sxIVgKlVSlOMEvUIwNnQ9c+UR+qGANw7oNG7S5VuO3eWyM5dos8rBOVqcVysc7rpZZNTmqgSOV07ZS11STcKOOe8qHWTM6ZaVwQgcM/OzjZz3GKODAwg2LVzt0fBqkJ3dMLT09zGEiZNBw8010EEXh646yprTDfECajHNX22SmT7Dn3GVImfpZ3oHJ2bTPvW6oXCo7zPyGhj5mXF3KzWs0KIFzsssw9XcqgnNm7cqAK7jaqk26QDGfNMWZOa6Oh5VeC3NII6FdZpnaFyPgYS0AGSHsW7EaTpAB5YzVvFu8dqvo0q39saIRos3iLRar6mrin5mJEACdScQDi7pqwqHXzvMU8h3NxjQE5W1mb9v1MH7encvOrSslkzzFGt/QIMKtYF/YLkZA7cqypnnn+EwN69Rwb7bt+OPkOUPnMlcqioxAxmb9Y8VeUNrbWt2UoHg2UY+UOItxeepiLuyP3nVn0RKFaBdOZjIq3PE1FXlVUNVMRVlRjPJ4HaJUBFXNV47lNXJvm6QEGH+Qd26bJ79y7ZnbNL9u5VqYWGaG3PJiZGS3KS+rhWgVZSksuz1u3ERLWu695MGsRVfeBC1XLKs8ORACxS4AYKFm67cz3rnN2weHPpHEEeyxR0p5KSE7Wz1Vw7WGmqhGlhFriGc7ohCkc+LJPoSNhDZuAABhBgyc7eqi5H0QnHJO+ilnIN9Llw68ABuMrWTrkOIGjenPNLROKzgxGruVqP7NihyntV4u9Ui9kdO+GitsS4lwQTuItJS0vXpaVR3KMj7ctlVyTyC+UyY95c6wEgK2urGWiEeeYQGsdBUKf1QjOPEr+51hPwAqAzATCEIQG0K1AHQOnuWUMJ75kfFsWNj49VwRnef4/FPOqAUBu9Xle3jYq4uiLLdEmg8gSoiCufFZRzcMXqGVS8TZUkWJwDi+HiHgOKPQOLm2JgsS6YZ7YBffCVDzdCjuq4TyN/QD/BDvjdlRNl2gyYBxohLq6RthUhd8CAX8+SlpYWjoN0OEdchDz3wV3MaPVp0qS7DsNXy7hqKOKCu3DMHQmQAAmUJZA5ZYp8ceONZXce/uf08KTTb8n2w4vz5IMjR0rcmSerILNYFXVuMwoNI9GSmkDgqQo7XdQbHUOEElDPgzqHhVuVarroGkLyXN3OzY0y2wWFnsYu8EA4Bh/qqanNpV37VHWf2lQ7Us3Mmi6hIvQB0mJD2dqmDSwV1HX44YBOOFx6wyoGI2V37Nguq9Zsl+++3y3Fxdq70hDfONp0ulNTSjxr7YCnaN2UkhKlk2QfToirkCOgU/Ca+sQo8A8r8a3yfvfuYinG5AwaYOEC5X3LVmnSp29zo7xHB7qiuW1CDggzbAhg3tzOnTubxSKBcu6IoG67bMnaJj8v3qluLVVTowF1hEdA5zbrplpHQFAHN7gU1lmKwbmGEA3tCQzigRDNYz3vMsr3/HyPpSvcSzZrlqrvfks5flALVcamGeU75q9iIAESIAESCE0CmNfRDsp0TgEDd/foE2DB4OKdO7fLhoU7JE8H5aBliMF7GFiMb3xqilvXot98nT9Rp+ZITo7Sfmho8mCufRPYtw/yB4/CDYN9Pf0G/Mdg32Kdy61sf6F5i+bqjhqDfj19hkhqK1A/7fsZ4t5AE0gdKO51r4prf5b6q2kZ6KvzeiRAAiQQMALdxo6VL3WeAQi2Kxtc6qeygUqyhz7/vMT166cNmt0qEMnVJUcFXbu1cZNvXEbY9DCPS5MmWNzGkg5WdJCDJCYcXidGmf90f2mJBf8abiP3qrFBfr5b8tWFA9w4YBv78vLRwIUCrljdOBx5rho1amAsT5KTUyWjdYr06p1s/qdoTwgKOOek8MFPgDmsTwLohENRi6Vnz56lWUE9hvoIHXAo6mDpm5OzUzZs2iV7cvNNRxwnN2wA1zVq5Zusgwe0A97k8MCBJFNPeQYRREeXJsuNABIoLHRr3XFYga/Ke2zv2VOiCnyP8n7vXo+QHVmKiWlo6g4o73v2amq2rQKfCrcA3rQgvRSUcx06dDCLM4tor2A0vfECYLwBbJeVq3eWegHAuQnxHmFdSnKJ1hM6uEg9ASTpwCK7TUWdk2jtb0Ph7hnEo+//4cE8ubklajnvMkK0vDyPxTyuHBcXo9+CVFW6pUmHjp4BPHYQD74VDCRAAiRAAuFPAO0+zOeJxRmKtNOK/gAW9BHQP0DfYO36nFIlHc5voC6AkpKidfH0DeDW2gwqVrkF1vgfF8dvipNtfW0f1BHiaCOYBbKIfNtvwCAdyCFK5OAhz8BM5BGD8zzyBs9gX2zbfmRMTEx9FSNorktFXNDcigjPSHx7ccXqpOywiss4N8JhsPgkQALhTKCxjhBuO2KEbJo9WzA/U0UhSqVPSR07yoUzZkiyjj73FwoKCrRxlFe6wN0N/ueoAGzDpnwVeBXIgQOeUek2DSjs4uM9I9Li4906Wh1WUi5jvYKGb5y6kWrcWNdxnjXbTZZczdbQwcJyDSPHIATHPCqFum3W6q25oMAtBWbt0m38L9bG7REFG64OQVhiYoI2dBMlsUmSTlicpJ2WJmbBnG3YpmC8ZveJsSsmAKGrx6oy9aiTUb95Bgxg0EBu6QCCbdtzVAifp524Aq0DVcN8OMTFRuvz7Ol4J8SXGDe8+A9runith1A32fqJSjtLzfca9YupR7QuKURdovUM6hKjwDeK/KjDivySUos2pIS525qoP+SkpGRJS0+Rbt2TTUcariTRiYaihYEEqkoAzw+WLl26lIl6UCU7ENJZQR3WGGC0NRMDjPLUTe6R+sEOMIJgLjHBUz9gkJGpF7SOQF2Bbbq/LINYrRE9dQHefVMHoH2hdUFeXokO6nFpPYAF9cQRhTss25KSPPVAig7a6djJM3gHdQDrgbJ8+Y8ESIAESKAsAXhVgUU0Fu+AvgFkFLZ/YLd379mt8grIMfLLfPuhrIOsAt/4hAS3DtrB9/6IvCK+scfrBvoKkFlwkLE3cd//IYvwyB3QJvD0FSCLwDYG+e416yjPtg7Icw70RRshMTH+sNzB01dAGw/yB9veo2cd39ztXiriLAmu659A6vE6o/OnIumn6QRJ7OjX/w1hDkiABOqKQK8rrpCNqoirMKiQu9NZZ8noN96QhhW49olX/w5YWrb0b1WMuZ/2ausqX4cxYQ3lnXPZvjNPCjcWqEBmnyqKDqqQvKzyB2PSYlR5FxsLYZdH4BUb65ZYHdgEJR1cYsbEeFxjmu1Gnm31dKfu7ly6YG2X0HJFhTlQDqkyzLPG9pH/EHQdOOg2Aq8DBzxr7Nu/3637Xbq2S4nZd/BgSamlkH0G0KiFcg2Cbs+9bCKtMjz31N5buGxIVCkk1iE+SbEtNtdhTCBKe8P+lHQoNqzpUA/ZAQS2bvLUT3mSvSPP1E+FhfuPqosaNcT7ggUDBdxmiY3RukjrJdRFnrVumzrJUzc10voI9Q/qJmwHo4UNxmagbjmo9Yln7dn21DGH65QDWt/ogvoFyz6tX/btw4JOtaeOse5f7OMFS7b4+DitO1B/JKmFrKceQX2CxSrxaSVriXEdCAJ43vwJ63B9uLqEsM7WEagbsOTl5ao3AE/9sK/wQJnvaZQ2VOJ0jjoI5CCYi4sr0TnrPO0VWzeY9svhNoutFzxtFHdpWyUYDLu82xvOemG/tjWgcD9SFygv/V9Y6KkPCgtLTH1QVFy2HQdle7yOukpMbKJLkrRIw9pTD0CIhiWS3EMF4jnnNUiABEiABDwE0Dewgzr8MYHLS/vdR9/AuezM2SPrN+71yCr2lf3+I71GKm/w9A8gr0D/oEQHFnv6BpBRoB3gWTx9BNsGQN/A00fw9BWCVaEHBZp3P8H+R3sA8giz1jaCZ422AdoLUYf7CZ6+w4EDR8siPH2FxtpGwEDfJpLe0tNXQJsAi+0rNEbjiqFGBKiIqxE+Rq5VAsl9dGbnWepEdqFIsyFVShqVM1yeMJAACQSeAAQlDJUnUKKtpWhtAcLdpNuPRRysTCA6Oen++2XQXXepk/XaccuAuZ8qavw6S4KGMO4vlkI1q8B/X8teVdzt2r1fhccHtdGH9SFdHyqdO8qZpvd2tErNGqjbOli4NGgQdXit4zH0PxrB0ToSLirKbbbx37O4DyPB2lVmW6X7hpfH9ady1L9lF5fmS1Sw77241L2n2xw7slZrET3XzoHknXfn/4YNo1W439AsMTGxum6kDf1Y7QQ0liZJsbodo9v471mgcMOCxizWFIA7aXI7Egjg3bUC4IyMjHKLjHrHDhpAXWTrJed6t85JcWD7AVMH7d+P9UF9p/1bHaNWRf2C+ufIgnrIM6LW5UK9g/rlSP3jc5/W1qiv3W6XqVfsGnUM6h7PGsf0vMPnFKtwHO5mUdd41iVm22vsQxkm+AzEqGbRLrGxcbqt9YjWIalNPfWJs16BAh/1C9ZU3JdByT8hQsA+z+UNMMLoetQJ6AuijsC2rSPsdm5egezfvq+0bsBAIzu3pT8UGIXfUBX+RwYROesF2xbxNM9s28RZVyDdI++85/0vKfG0SWz7w1MfuE0dUVTkUuEaFPAYzKP1gZcCzTufqJugVEN9gLoAbYu4uARp2szTrrBtC1sHQIjGusCbYvD8hws31tPBcz+Yk8giUBkPNZFFpH5La/vKmJeuvIC+vv3O27XtFzhlGLl5heb7DxkF+gZY7Ny1/tKP0kb3EfmE7SdY+YTtG9i1p02AdjraA7YtYPsMuMaR9oDtLxzpE3j3FTxtBI9c4khfoeJ+Aq4DeYTtJ0AO4ZE/NJbklMaqWEM7wdNfAGO0D2wbAWsoSRkCQ4CKuMBw5lUqQyBKhyEk9xPJ+V4VcSdojMpXBFlZWYKFgQRIoH4IwAydoRwC2sLaMm+eLJs0SVa+847sV/dLSe3aSd7mzVKCFpYjwBUlFHXnvPWWdFRruPoMtiEM5V11Ajo2UM7BEs/XAh/yWIpV2+W9xj7Ex+Lcxn80vJ0L8mb/m5mh9b/LCNA9CkyPsg6NZQjSovwuEILAlYJde29DkelrgRINaTOQAAnUDQFbF2F+gaoE1BcHdEiorYewttuok2wd5L1GfWLrH7tt17YOcq5N3aJ1QMPD9Yuta+wa9Y7dxtpZx6CecS6oT1DPYO29XZWy81wSiAQCeLfsaO2qlBfvvK0PvNfOusG57awDnO+/r22cG62Di5zvvm1/2LrAeQx1At57WxfYbVsPeK9xnCF8CKxYsSJ8CsOSkAAJkEAACOBbar3GVPVy+Ebb/oCvtbNfYOUU2GdlErY9UJm1bQ/Yb79dO9sAdp9d45htD3iv8f3H4uwj4D+UbojPEPwEXPpQYBAnAwkEB4FDe0RWPqXzxJ3jUcoFR66YCxIgARKoFoGdixfL8smTZfmbb0rexo3SvE8f6TF+vPQYN062//yzvH/eeWXShRKuSfv2Zj64lK5dyxzjHxIgARIgARIgARIgARIgARIgARIgARIgARIggZAj8DQt4kLunoV5hhsmqQLuGJEdX+u6rxaWGv0wv+MsHgmEHYG8DRuM8i1TFXA7li41lm89J0yQ7qqAa9a7d2l549PTJUbn5Tig850gYART+1Gj5ByN11D3M5AACZAACZAACZAACZAACZAACZAACZAACZAACYQ+ASriQv8ehl8Jmp8osuo/InmZIk16hF/5WCISIIGwI7Bv507jchLWb1u+/lri1H1a14svlpHPPScZQ4dCy3ZUmaPU7Vj3Sy+VxS+9ZNwqDvnrX2Xwvff6PPeoyNxBAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQEgSoiAuJ2xRhmWzUzKOA2/4VFXERdutZXBIIJQJFhYWy+oMPZLnO+7b+s88kSn1zd1ZXk+dPny7tTz/d/K+oPD3UUg5uK8/SNDqde25Fp/M4CZAACZAACZAACZAACZAACZAACZAACZAACZBAiBHgHHEhdsMiJrsHdoisfk6k9YUiSb0iptgsKAmQQHATcOskvVC6wfJt9bRpUnTggFG6Yd63zmPGSMP4+KoVQKdpzV29WpK7dKlaPJ7tk8ChQ4ckJydHWrRowcmKfRLiThIggdomsGPHDklISJC4uLjaTprpkQAJhCCBfHU5XqTtxZSUlBDMPbNMAiRAAiRAAiRQGwTYHqgNimGXBueIC7tbGi4FimmuCjidS2n7bF331FId7dYtXIrKcpAACQQ/ga3ffGMs31a8/bYUqhvKjCFDZNgjj0i3sWMlrpla8VY3qMtKKuGqC+/oeIVqpZiZmSmpqanSUC0UGUiABEigrgmsWrVK2rdvT0VcXYNm+iQQIgSys7OloKCAirgQuV/MJgmQAAmQAAnUBQG2B+qCauinSdeUoX8Pw7cELYbrXHHPiuQuEknuF77lZMlIgASCksCuX34xlm+wftuzfr0069VLjrvlFoH1WxMVujKQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQEUEqIiriBCP1x+BRqkiKceKZMMqTq3jXHxc6+9m8MokEBkE8jdtkswpU4z12/ZFi6RJmzbS/dJLBXO5Ne/bNzIgsJQkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAK1RoCajVpDyYTqhACs4vYsEdn5rUjzk+rkEkyUBEggsgkc2L1bVrzzjrF+2zx3rsQkJ0u3iy+WEU8+Ka2HDdNBAHSNG9lPCEtPAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAtUnQEVc9dkxZiAINEgQaTZUFXHzRFL7i0THB+KqvAYJkECYEyjat0/WTJ9uLN/WzZwpUdHR0umcc2TMtGnSYdQoiWrUKMwJsHgkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKBIEBFXCAo8xo1I9BssEjODx4Xla3OrllajE0CJBCxBNzFxbLxiy9k2aRJsur996WosFDannqqnPHii9Ll/POlYWJixLJhwUmABEiABEiABEiABEiABEiABEiABEiABEiABOqGABVxdcOVqdYmAVdDkbSRIlumqVXcAJHY9NpMnWmRAAmEOYGs+fMlc/JkyXzrLSnIzpZWgwbJiQ88IN0vuUQap6WFeelZPBIgARIgARIgARIgARIgARIgARIgARIgARIggfokQEVcfdLntStPILmPyG61its6Q6Tjrysfj2eSAAlEJIGczEwz59tyVcDlrlkjTbt3l2NvuEF6jB8vSZ06RSSTSCh0I3Upmp6eLlFRUZFQXJaRBEggCAi0aNFCGjduHAQ5YRZIgASCgUCieliIiYkJhqwwDyRAAiRAAiRAAvVEgO2BegIf5Jd1uTUEeR6ZPRLwENi/TWTNCyIZ54kk9yUVEiABEihDoGDrVsmcMsW4nsz+6SdJaNVKul96qfScMEFa9Nc5JhlIgARIgARIgARIgARIgARIgARIgARIgARIgARIILAEnqZFXGCB82o1IQCXlHBNue1zkSbdRKJia5Ia45IACYQBgQO5ubLy3XeN68mNc+ZITJMm0vXCC+XkRx+VtsOHaz1By6gwuM0sAgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmELAEq4kL21kVoxtNGiOxZ5lHGtTonQiGw2CQQ2QSK9++XtTNmGMu3dR9/LOJyScezzpLzpk6VDqNHSzTdAUX2A8LSkwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEAQEaAiLohuBrNSCQKwgmt5psjmqR73lI3bViISTyEBEgh5AiUlsnH2bFk+aZKsfO89OZifL21HjJCRzz0nXS+4QBolJYV8EVkAEiABEiABEiABEiABEiABEiABEiABEiABEiCB8CPAOeLC755GRok2TBY5uFuk83VqDRMdGWVmKUkgAglk//CDLJ882cz9tjcrS9IHDJAe48ebud/iW7aMQCIsMgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQAgReJqKuBC6W8yqg8ChPSKrnhVpNlikxSmOA9wkARIIdQK5q1YZ5RsUcDkrV0pKly5G+QYFXErXrqFePOafBEiABEiABEiABEiABEiABEiABEiABEiABEggcgg8TdeUkXOzw6ukDdUNXfpIkaxPRZp0F4mlZUx43WCWJtIIFG7bJplvvWVcT2YtWCDx6enS/ZJLZPQbb0j6wIGRhoPlJQESIAESIAESIAESIAESIAESIAESIAESIAESCBMCtIgLkxsZscVY/5pIUaFIp2vpojJiHwIWPFQJHMzLk1U63xss3zZ++aU0jI+XLjrfGyzfMP+bK5puZ0P13tZXvg8dOiQ5OTnSokULcblc9ZUNXpcESCCCCOzYsUMSEhIkLi4ugkrNopIACfgjkK/zGBcVFUlKSoq/U7ifBEiABEiABEggzAmwPRDmN7h6xaNFXPW4MVbQEMg4T11U/kdkx1fqonJE0GSLGSEBEvBNoOTgQVn78cdG+bZm+nRxl5RIx9Gj5ewpU6TT2WdLdGys74jcSwKVIFBYWCiZmZmSmpoqDRs2rEQMnkICJEACNSOwSt0pt2/fnoq4mmFkbBIIGwLZ2dlSUFBARVzY3FEWhARIgARIgASqToDtgaozi4QYdE0ZCXc5nMvYMFldVJ6mLio/EUnUuaPiWodzaVk2EghNAqps2zR3rnE7uXLqVDmglnBthg2TU59+WrpedJHEJOt7zEACJEACJEACJEACJEACJEACJEACJEACJEACJEACYUiAirgwvKkRV6RUnT8qf6XI5vfUReV1IlGNIg4BC0wCwUhg+8KFxvIt8803JX/LFkk79lg54e67pfu4cZKQkRGMWWaeSIAESIAESIAESIAESIAESIAESIAESIAESIAESKBWCVARV6s4mVi9EYCLytXPeSzjsB2hAfMRNGhQ+691TdMtL35xcbFEcy6wsHli96xda5RvmPdt1/Llktyxo/S+6ioz71tqjx5VL6c+0/pQVz0eY5AACZAACZAACZAACZAACZAACZAACZAACZAACZBAEBCICoI8MAskUHMCDRJEMs4V9+6FInnLa55eDVKA0mn8+PE1SKF6Uf/1r3/JhAkTqhfZT6wSdSn41FNPSbt27cwZDz30kPTp00d+85vfyPbt22XmzJkycOBAOfnkk2XBggXmnD179sgtt9wi55xzjqxbt0785Wvv3r1yww03yJgxY/xcnbtDhUChPgsLn3lGJg8eLC926iQL1eVku1NPlQnffivXrFkjQ++/X6qshNP5NeTKK0V++9tQwcB8kgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkMBRBKiIOwoJd4QsgcRu4ko9TmTLhyKH9tRbMd5//32ZMmWK/PDDDwHNw7XXXiuPPfZYhdf8VpUj+fn5FZ6HE6KiouTMM8+UPJ3TC+Guu+6SmJgYgbKxRYsWMmrUKDlVFS5QuB13nLLXkJSUJH379pXrr79eOnToIN75stdPSEiQE044Qfbv32/i8Se0CBxSReryN96Qd/X5eL5VK/nfnXdKcufOctEnn8h16oZyhCrjWur9rXZISxPp1k3E7a52EoxIAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAvVNgIq4+r4DvH7tEmh5pkjDRJ0v7l1Nt8Rn2lD8wBoL64MHD5pt/If1FxRM2Ia7RBuysrLMefY/1lBkFRQUqI7gaCXBnDlz5Pzzz5cnnnjCGaV021dcX/sQweaxNLJjY9euXY5/Ik2aNDHKMedOKNB2795dumvjxo0yduxYOXDgQOk+bBQWFpb5b/9s27bNKOOgkLPhuuuuk6lTpxpO2HfFFVfIpk2b5IsvvrCnCJRtp59+uvnvzJf39eFG0+VymfPAwBfP0kS5Ue8ESg4dkjXTp8sMnePtP6oom3n11RLdsKGMfu01uV6fLazbn3GGuPD+6LtVJqjVnL5YZRVrmp5g8Q54PvHcwmWp49nzPo3/SYAESIAESIAESIAESIAESIAESIAESIAESIAESCDYCRyRrgd7Tpk/EqgMAZfOJdXmYpF920Syv/QZ4xO12ElMTJT58+cLFE2w3rrxxhuNsg1uFc9QRQKUbJmZmWb/ihUrzL4lS5aY9KBgQ9wHH3xQHnnkkTLXWLx4sfTu3Vt+//vfy9tvvy1bt24tc9xXXF/7kA+4bZw0aZLccccdctlll5k8IbGFCxea9KHwO+mkk+THH3+UnJwcufXWW431Gs6BUvEqnZcL+bn77rtLLeUQZ/PmzfLss8+aY3Aviev84x//MIqz7777DtHNNS666CL56quv5IEHHjD77M8ll1xi0kf5EMAF1nEvv/yy+b9jxw5jFYd537zz5X19RIDi809/+pNxUdmrV69SBZ9JjD/1T0CVzVv+9z/5XBWwz6Wny7TzzpN8tXg75fHH5Xf6/oz58EPpfuKJ0qBfP9GHAFpd0YdORK3jTNBnUW6/XeTnn0X9lYq+WJ79+syJujqVc88V1VofKae6uNSHWUTfU3nrLVFN7ZFj3CKBCgg0atRI0vU5dQ4eqCAKD5MACZBAjQigDdS4ceMapcHIJEAC4UMA/czU1NTwKRBLQgIkQAIkQAIkUGUCbA9UGVlERFCtBQMJhBmBmOYisIzbqi4q4zuIJHQqU0BYq8GNIhRGmNvsd7/7nXz99dcSGxtrXDBC0QQrrsmTJ0uPHj1k+PDh8umnn8oHH3wgxxxzjLzwwgsya9YsGTlyZBkrMFzkNbUIuu+++wRuF7t06WIUXlDY2eArrq99UExBQfjrX//aREUe7rnnHtVbPGTmgYPyLS4uzijnflYFB8rTv39/+f777835GzZsMJZwJ6qCBMIhKOVuu+02OU+VKAg333yzUZbde++98oc//MF0FiG4Rl7fe+89YzU3e/Zsad26tbRs2VLgbtMGlO2CCy6QiRMnytVqEfX555+beeAwbxwUb+AGhgjohDrz5X39X375RXJzc025GqplFVxZogwjRoywl+O6ngjsVCXucr2Xy998U/LU2q25zg04UBVqPdQaLrFt27K5whyCPXt69sXHiz5oHiUa9uCZXLZMVNsr0r27x1IOSjlVmOgDLnL22SL6nJr54FauFH2ARL75xpMW1l7Wm54D/CUB3wRQL3aDS1MGEiABEggQgc524EmArsfLkAAJBDeBNLhXZyABEiABEiABEohoAmwPRPTt91t4WsT5RcMDIU0g5VidrOwYj4tKH/PFwb3iq6++aoq4c+dOgdIJ1mGwQIP1GQLOOVetdV5//XVZtWqVUdxh/5gxY4yS7L///a+ZHw37EOACEhZlSPcZteppp8oJnLNv3z7PCfrrK66vfVD6dYfS4nCAYurjjz826WPkNYTNCHALaZV1cPNoAxRasFiDC0m4jITS0RmsO8hp06bJ0qVLZe7cuUbJiLQwt90hdRcIJRwC1vZ8mwauC+Xll19+Kc2bN5eLL77Y5An8FixYUDpfHM535svGd6bXtGlTgRIOISMjw9wHex7XgSWQpwrc+aowe00Vzq+qIjhT5zrsOWGC/EqtHq9ctEiO//Ofj1bC+cuitWQ7Vt/F9etFhgwRvbkeSzlNV9TqUx880QkGRV8yj8INFnBQytnQpg0t4iwLrkmABEiABEiABEiABEiABEiABEiABEiABEiABEKSwBHJfUhmn5kmgXIIZKgbvDUviWx6W6TD1SrQjy49eZxa9dyu1j3/U5d7UDTBwgvWbJinzLoSgQtLKJawH4o4uItEgKvGPmoddMstt8jy5ctL54J76aWXjItHKMEQYDEHSzUo8q699lqzz1dcX/tgnYa0Tz31VBMPFh5QXsHt2iJViEBRZpVXcEPp7YYNijdYpUEpiLj//ve/TTr2B2lhHjy4qYR7S+dIjc8++0yys7PN/HSwEvQVkK9WrVrJ+PHjjUUczpugCpuHH37YuLr0Fce5z6mIc+7HdnnHvM/l/5oT2KeK6JXvvGOs37aocjVOFaNdVbE68rnnJGPo0JorwqBkVeWscVc5bJjIRx+J6DUFrizV/Wlp0DkbjfWbPpNlglXoldnJPyRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQGgRoERca94m5rA4BlyoA2o5V4f4ukayZZVKIV/d5UCJdc801xm0jrN/gUhLzw9mAedPgVhFznWVlZZl50XAMriQvvfRS9Z73jcyYMcOcDsUYXCoOU0VDG7XiwQKLNij8oASD0stfXF/pna3u+mClZwPcT56j82sNHjxYkpOT5a677jJKw/VqaQRXkgi4hr3OFLU4KtS5utqqC0HMg2f3Q5GHsF+VHigXrgOF4q5du0z5XnnlFXMNuOacOdPDLC8vzyj+TMTDP1D8jR071szFBHedCLCmw5x42O8Mznw5r49znMd8/Xemw+3aI1Ckz0amupx8X+//86pQnfPHP0qiPrPnT58u1+k9HPmf/0gGLNOqogRTBZ6aXnoyCcs361IS74i6LBWdU05fMlG/rh7Xlfiv8x2aABeUapkpF14o+uB7rOVwQJ89nbzRcw5/SYAESIAESIAESIAESIAESIAESIAESIAESIAESCAECUT/TUMI5ptZJoHKEYhuLBLTVNzbPhNXoxSR2PTSeFCWwarstNNOMy4RMzMz5aabbio9DleTmJMNLivhMhHWcQMGDDBKsKKiImMhN1QthmBx9tvf/lYQHy4k4WoRAVZpcCcJ942wtIMV2eWXXy7OuP3UKgiWZN77YKX2pipKkMbq1asFc6nB2iwmJsYo+TC32+OqyNi0aZOx7IN7zSeffFLmz59v5r2zVnBwE4lyWoXh8OHDBUo9WPlhDjvkCWWE0nGhKkVgGQiLvvT0dLnxxhtlibokhDXgmjVrBC4xYQloQ0pKimAZApeDGjCX3Eqd4wtzxdkAJaAzX0jbXh9M31JXhMgz7gGUeCiT2+2Ws846y6dLS5su11Un4NZndr0qV79VZdinqjRdoW5Lkzt1ksE69+AZL78s3VVpnNK1qxqOHrEcrdJV9FnQF0jkp59EtcUeJVvv3qJaXNEJCj379HlVzbcI3FXOmePZD8Vbs2Ye5RzmmsP8cVDYqUWoPniimmSRgQNFH8AqZYcnkwAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkEAQEPjepUJvdxBkhFkggbolkK1WOLvmq4tKVQLEtSq9FhRgdg4z57Y94aBa41grLnscriBhJZaYmGisyuy5lVn7iutrn00Lyim4aoSSyxlgSVZQUCCwXPMXYKWHsiG+zbs9F9ZyjRurklIDqgBYxDWDMsQREB/lh9tJpOHt/hKnYv47O18d/jvTxX9/obLn+YvP/ZUnsFWtzZarEnmFzhlYqArbDFWc9lDlbze1XIzzuueVT9XPmXAvCatLfFbUalIfHFFTS886N1dUc1s2IlxUpqZ6znUegSVcQoLog+tJz3mM2yRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQOgSepiIudG4Wc1ojAqoY2DBZfTJmi3S6VqSBCvkZSCBMCexSC8rlkyebZY+6L23Wq5f0UFesWJq0bx+mpWaxSIAESIAESIAESIAESIAESIAESIAESIAESIAESCDoCFARF3S3hBmqOwIlaq2z5kVVwsWLtL9SrXSq6YKv7nLIlEmg2gTy1e1jps4NCOu37YsWSRPMU6hzGcL6rXnfvtVOlxFJIJQIwJI3R+ckhCtdWPIykAAJkEBdE4Ab8QS14nZ6CKjrazJ9EiCB4CWAKQngjQQu/BlIgARIgARIgAQikwDbA5F53yso9dMNKjiBh0kgfAhExYq0HSeyVpVxWTNEWp0bPmVjSSKSwAGdx3DFO+8Yy7fNc+dKrHb4u150kYzQ+QJbDxvmcQkZkWRY6EglALe3mK8zVV2eYg5QBhIgARKoawKYS7e9WptTEVfXpJk+CYQGgezsbDOFABVxoXG/mEsSIAESIAESqAsCbA/UBdXQT5OKuNC/hyxBVQjE6DxorS8U2ThF557S7WZDqhKb55JAvRMo0nn51kyfbizf1s2cKVHR0dLpnHNkzLRp0mHUKInCHG0MJEACJEACJEACASFA69uAYOZFSIAESIAESIAESIAESIAESCCkCVARF9K3j5mvFoHEriLpp4ls+1wkpqlIYrdqJcNIJBAoAu7iYtkwa5axfFv1/vtSpFY/7UaOlDNefFG6nH++NExMDFRWeB0SIAESIAESIAEHAbdb5yFmIAESIAESIAESIAESIAESIAESIIFyCFARVw4cHgpjAk0HixzYKbLpXZGOV4vEpodxYVm0UCWQNX++ZE6eLJlvvSUF6uam1aBBctKDD0q3sWOlcVpaqBaL+SYBEiABEiABEiABEiABEiABEiABEiABEiABEiCBiCFARVzE3GoW9CgCrc4SObhbZMObIp2uEWlAq6KjGHFHwAnk6PxWy1X5hiV3zRpp2r27HHvDDdJj/HhJ6tQp4PnhBUmABEiABEiABEiABEiABEiABEiABEiABEiABEiABKpPgIq46rNjzJAnECXSdqzI2oki6yd5LOOiOL9WyN/WECxAwdatkjlliiybNEmyf/pJElq1ku6XXio9J0yQFv37h2CJmGUSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAEQoCKOz0FkE4iKFWk3QZVxL4lsfEukvW6LKugYSKCOCRzIzZWV775rXE9unDNHYpo0ka4XXignP/qotB0+XB9DPod1fAuYPAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnUOQEq4uocMS8Q9AQaJqkybrzIuldFtkwXyTgv6LPMDIYmgeL9+2XtjBnG8m3dxx+LuFzS8ayz5LypU6XD6NESHRMTmgVjrkkgSAg0atRI0tPTVY9NRXaQ3BJmgwTCnkCLFi2kcePGYV9OFpAESKByBBITEyWGbfrKweJZJEACJEACJBCmBNgeCNMbW8NiudwaapgGo5NAeBDYu9ozX1zzoSItRoRHmViK+idQUiIbZ8+W5ep2cuV778nB/Hxpe8op0kPdTna94AJplKSKYAYSIAESIAESIAESIAESIAESIAESIAESIAESIAESIIFwJPA0LeLC8bayTNUjkNBZreHOEffmaeJqkCCSenz10mEsElAC2T/8IMsnTzZzv+3NypL0AQNkyF//auZ+i2/ZkoxIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAQigAAVcRFwk1nEKhBI7ieuogKRrE9EouNFknpVITJPjXQCuatWGeUbFHA5K1dKSpcu0ufaa6XH+PGS0rVrpONh+UmABEiABEiABEiABEiABEiABEiABEiABEiABEgg4ghQERdxt5wFrpBAM3VNWbRX54t7X6RBnEh8xwqj8ITIJVC4bZtkvvWWcT2ZtWCBxOv8VN0vuURGv/GGpA8cGLlgWHISIAESIAESIAESIAESIAESIAESIAESIAESIAESIAHhHHF8CEjAH4HN74nkZYp0uEIkrrW/s7g/AgkczMuTVTrfGyzfNn75pTSMj5cuOt8bLN/ajhghrujoCKTCIpMACZAACZAACZAACZAACZAACZAACZAACZAACZAACXgReJqKOC8i/EsCRwiUiGx8S6RgoyrjfiUSm3bkELcijkDJwYOy9uOPjfJtzfTp4i4pkY6jR0uPCROk09lnS3RsbMQxYYFJgARIgARIgARIgARIgARIgARIgARIgARIgARIgATKJUBFXLl4eJAE3EUiGyaL7N8u0vEqkUZNySSSCKiybdPcucbt5MqpU+WAWsK1GTbMKN+6XnSRxCQnRxINlpUESIAESIAESIAESIAESIAESIAESIAESIAESIAESKBqBKiIqxovnh2RBEoOiqz/P8+8cR1UGdcwKSIxRFKhty9caCzfMt98U/K3bJG0Y481bie7jxsnCRkZkYSCZSWBkCJw6NAhycnJkRYtWojL5QqpvDOzJEACoUlgx44dkpCQIHFxOq8wAwmQQMQTyM/Pl6KiIklJSYl4FgRAAiRAAiRAApFKgO2BSL3z5Zb76QblHuZBEiABkahGIu0vE1n7qirkXlM3laqMa5BIMmFGYM/atUb5hnnfdi1fLskdO0rvq64yCrjUHj3CrLQsDgmEJ4HCwkLJzMyU1NRUadiwYXgWkqUiARIIKgKrVq2S9u3bUxEXVHeFmSGB+iOQnZ0tBQUFVMTV3y3glUmABEiABEig3gmwPVDvtyAoM0BFXFDeFmYq6AhE6fxfHa4QWfeqLlDG/UqVcQlBl01mqGoECrdvlxVvv21cT2797juJVyuabmPHyqiJE6XlCSdULTGeTQIkQAIkQAIkEHEEaH0bcbecBSYBEiABEiABEiABEiABEiCBKhOgIq7KyBghYglEN1bLuMPKOLiqhDIO+xhCisChvXtl9bRpsmzSJNkwa5Y0iI2VzmPGyJC//lXajRwprgasFkPqhjKzJEACJEACJFCPBNxudz1enZcmARIgARIgARIgARIgARIgARIIBQKUOIfCXWIeg4cArOA6XKluKl9Ryzgo43Q7mnOCBM8N8p2TEp03at3MmZKpbidXf/ih4H+HUaNk9OuvS+dzz5UGjalQ9U2Oe0mABEiABEiABEiABEiABEiABEiABEiABEiABEiABGpCgIq4mtBj3MgkgPnhoIArdVOpVnK0jAu+Z0FHqG+ZN89Yvq185x3Zv3u3ZJx4opzy+OPS9eKLJVbnkGIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIggbokQEVcXdJl2uFLoGGSxzWlUcbBMo7KuGC52TuXLDFzvi1/803J27hRmvfpIwNvv116jBsniW3bBks2mQ8SIAESIAESIAESIAESIAESIAESIAESIAESIAESIIEIIEBFXATcZBaxjgiUKuNeU+s4XYybSro4rCPa5Sabt2GDZKribbnO+7Zj6VJJatdOek6YIN3Hj5dmvXuXG5cHSYAESIAESIAESIAESIAESIAESIAESIAESIAESIAESKCuCLh0gnF3XSXOdMOXwObNIm3ahG/5qlKyNul58tpD78uv7h4jG7PUUo4h4ASukIulk8yRRbpeKONlvQwVt7jqJB+J6pk0L69OkmaiQUTgm2++kUM6lyADCZBA7RForPNx9u/fX6Kjo2sv0QhIifVRBNxkFrFGBFq1aiVdunSpURqM7CHA+oZPQqAIREVFyTHHHCPJycmBuiSvQwIkQAIkUEkCbA9UEhRPqzGBCGsPPE1FXI0fmchMwCriLphQIukZkcmApQ4eAlEF26UkNkXn6mtYp5latljkh3lRkp9fp5dh4kFAAA3PZs2aSUqKPlcMJEACNSaQlZUlubm5kpCQIH379qUyrgpEWR9VARZPjTgCK1askOLiYmmr7sc7dOgQceWv7QKzvqltokzPF4HCwkJZv369QPjWR6cRSEriYFZfnLiPBEiABOqLANsD9UU+sq4bge2Bp+maMrKe8Vovbc++bunUrdaTZYIkUEUCzQ+fX7cGvvsKXaqIq2LWeHrIEoDCoHlz+2yFbDGYcRIICgJ79uyRoqIiOXjwoCxatIjKuCrcFZfLZRSYrI+qAI2nRgyB1atXm4EzmzZtMmWmMq5mt571Tc34MXblCKBNgIABb0t0fm9YxlEZVzl2PIsESIAEAkGA7YFAUOY1IrE9EMXbTgIkQAIkQAIkQAIkQAJ1TQAuKfv161eqjIMVCwMJkAAJ1JRAkyZNpFu3bgJl3Lp162qaHOOTAAkEiADe29TUVKOMs8K4AF2alyEBEiABEiABEggSApHUHqAiLkgeOmaDBEiABEiABEiABMKdQGxsLJVx4X6TWT4SqAcCaWlpVMbVA3dekgRqSqBnz55UxtUUIuOTAAmQAAmQQIgTiJT2ABVxIf6gMvskQAIkQAIkQAIkEEoEqIwLpbvFvJJA6BCgMi507hVzSgJOApEifHOWmdskQAIkQAIkQAJlCURCe4CKuLL3nP9IgARIgARIgARIgATqmACVcXUMmMmTQIQSoDIuQm88ix3yBCJB+BbyN4kFIAESIAESIIE6JhDu7QEq4ur4AWLyJEACJEACJEACJEACRxOgMu5oJtxDAiRQcwJUxtWcIVMggfogEO7Ct/pgymuSAAmQAAmQQKgRCOf2QINQuxnMLwmQAAmQAAmQAAmQQGgRSEhIkG3btslXX33lM+MHDhyQ5cuXS+/evX0ej+Sdbrc7kovPspNAuQQSExNl1apVZvF14saNGwX1T/PmzX0d5j4vAqxvvIDwb50QaNiwocTFxck333zjN/1FixbJ0KFDJTo62u85PEACJEACJFA3BNgeqBuuTLUsgUhsD1ARV/YZ4D8SIAESIAESIAESIIFaJpCeni5oaJeUlPhMGUq64uJin8e4kwRIgAT8EejWrZvk5ub6OywrV66UQ4cO+T3OAyRAAoEn0LhxY8Fo93379vm8eGFhoaxfv960GaiI84mIO0mABEiABEgg5AlEYnuAiriQf2xZABIgARIgARIgARIIfgJNmzb1m8k9e/ZIQUGB3+ORfMDlckVy8Vl2EiiXABT85Vm7rV69utz4PFiWAOubsjz4r+4IwFIVi6+ANgEDCZAACZBA/RFge6D+2EfalSOtPcA54iLtCWd5SYAESIAEwo6AvxHFzoJWx9oII5JDKRQVFZVm17ldurOeNyrKU6B4V5SPmmCqzLNYk/QZN/gJVOYZiIT6qLJ3KlDvfUX5qct6wdf9DpZyV8SFx4ObAOub4L4/zB0JkAAJkAAJBIIA2wOBoMxr1AYBKuJqgyLTIIEgIPD1l69XORfViVPlizACCZBAnRH49ttvpXv37jJx4kS/18jJyZHf/OY3cumll/o9x/tAVlaWXHbZZXLWWWd5HwrK//Pnz5c+ffrIzJkzTf7+9a9/yYQJE4Imr975884YXKfdf//9cvXVV8sdd9zhfbhW/9cVm8o8i7VaECYWdAQq8wwEW300ZcoUOfbYY2X8+PFyxRVXmHrk5ptvNnUf6pRNmzbVGWcop+6++255/vnnzdyI9ek+cd26dZKcnCz79++v1fI+/fTTMm3aNPP9+eMf/2jSDrXvS60CYWK1RiAU65taKzwTIgESIAESIAESMATYHuCDEGoEqIgLtTvG/JKADwLLF8+Wqa/f7eOI/13VieM/NR4hARKoDwKDBw+Wzp07S3mTKaempkrfvn3lwIEDlc5iy5Yt5bTTTvM7n1elEwrQiYMGDRLMIdKggcfj9rXXXiuPPfZYuVeHNca8efPKPcffQTT48/Pz/R0+ar93/rxP+POf/ywXXXSRvPbaa0Zp6n28Jv+9y1kZNtW5XmWexeqkyzihQ6Ayz0Cw1UdbtmyRxx9/XCZPnmzewSVLlsijjz4qM2bMkNGjR1fpPa/qnXrrrbckJiZGbr31VsE2XCwGMjjrsfbt28uCBQskNja21rKQmZkpO3fulDFjxsg777xj1kg81L4vtQaECdUqgVCsb2oVABMjARIgARIgARIQtgf4EIQaASriQu2OMb9BSaC4uEiW/PSprFw2T/bkZsucT1+Ud156Z0zaAABAAElEQVS7U9asmF8mvwV7d8sXHz9n9i3+8ROZ8e4jgrgIu3dtlbmfvyIfTLlfli36wuxz/uTlbpf/zXrVxFnw9VTZvm2tOQyF2lMPnS/79+XL7JkvyMLvp5dG27ZlpcDqbcrEP8mP375fur+8OP6uUxqZGyRAAuUSgHuvkpISo/jyti6wyjDnXFhQojmVOvi/d+9esxw8eNBcC8oU7EPAcWe6UD55+3CHxYGNizhWQYXtvLw8rI4K3m7CnHGOOrkGO5AvywGssO10iWaPobzgWFGAhQ3SjIqKMgvOb9KkibRo0aJM1O3bt2t9W2z4YX3VVVcJhO7O4H0v7DGbJ9y3jRs3ytixY0vLYM+BNYsvixZf+bNx7Hrx4sVGkQihfLt27UzaKDvyg2s77yXyDl5YO58jmxa42fz6KqcvNhWV29e9QNqbN2+2lzVrX89imRP4J+AEWB+VjxwDDk455RSfJ8EyDnOP4Vn3ft98Pf9IxL57vupZZx2Ec+17j+1evXphZQLqd+c7b/cjbVzX1v/YRkC9g3fYBnvc/sca+dm9e3fpLu96DN+Qrl27HlXnIp4zbSSA65ZXB9mLvPvuu2Xq4eOOO640LV/fF391qDc3mz7XwUeA9U3l78muXbt8nuzrnSuPKxLxbr9hH9qVaCN4v784xkACJEACJEACdUmgvO+WbSs7+7HefVH8R/8Ti20Th5M8BG1eWz7b58d/Zxveu+2O+4U2OBYnO+xnmwIUQidQERc694o5DVICOTs3y3OPjJPH7ztLPnn/MZn49G9k07pF8vXs1+WhO4bJD9+8a3I+78v/k1uvaiuTX7xZZs14Vqb+39263CVbNy0TKMamTblP2nXsJ63a9FDF2gXy+vO/Ly1x4d5cefzvZ8vAoRfJmWNuM0q1DWt+MsfjE1Kkdbs+OpI6RlpmdJWmzdqY/Z99+KS8+p/fyZBTLpORZ90gb078o3z5yfPlxinvOqWZ4QYJkIBfArCqwGj/++67z4z+79ixo0yaNMkIQf/whz/IiBEjjOvBlJQUwUT0TzzxhDz44IPmnJNPPll+/vlnIwi99957pWnTppKdnW2u9eabb5a6LPzHP/7h12UkLBBuvPFGWbFihZxxxhllFE0Qwl5zzTUycOBAI/SFJQjCl19+KbfccovcdNNNcskll/gU6JgTa+kHbspgdZGbmysbNmyQk046SWARhkY58nD88cfLI488Iueee67h5e+yaKzCleMbb7xhrN/Wr19vToXiCxYmZ555pvmPxu3tt99u2J5zzjkCRr/88ossXLhQZs2aJW+//bY5z9e9QAPY+759/PHHRgH17LPPGkE6IuOePPTQQybPSAfBX/7MwcM/6Fg89dRTgnvx6quvmrxgGwLxl19+2dwLuK6D1SPCe++9J+np6QJ3b1Aktm7dutR1Hq4H12+wrLn++usNQ+9yerNBmr7KXdG9eOGFF+Sll14yFoVQYlRGYYprMQSWAOujinnD/aS/gHcN7zuU43jfu3TpIq+88or4ev7Xrl0rQ4YMkd/97nfmPUS6iIPgqw5CPfjVV1/J119/beoAvL/4Jtxwww3mewAXtXAPjI72smXL5MQTTzTpnnrqqebbgu8GXGr+97//lbPPPtu4KEZ9hvoC9QfcEdtro66A0g/HrKXwnDlzytRjqEczMjJk27ZtJt73339v6pEPPvhAUG/iOgjl1UHmhMM/KBfK+N1335m4t912mzRu3PgowYGN46sO9cXNns918BFgfVO5e4K2x+9//3vBO4j2z48//mgi+nvn/HFFJCipUWfg/Tn99NPN+4b9+K7DJTbqCbSnGEiABEiABEggUAT8fbd89asjVR4CxRnaAPCIA3kAFHNo98NbBdq/vtru8Jzj3SdhmyJQT3XtXoeKuNrlydQikEBqs9Yy9lcPm5JDGXbLPR/K5dc9I/c98aNASTb5pVt11EKRnDjiCuk/eIxWrMWSktpK/v7kT/LQs0uleVpHeeWZa2X8rx+Xdp2ONcq2408ca5Rma1Z8Z9L95qtJKrhOkNi4BIlS92sXXv6ASRMH26ryLjGpuTRsFCvdjxlu/mP/FzP+IxltexpLmWZp7aVth36yaMEMHPIbp7zrmIj8IQESKJfAxRdfbFxxjRo1Sj755BN5+OGH5c477zQWWkOHDjVKoHvuuccoXiB0gaDyL3/5i1x33XXGyurCCy80jS/Eg7IOiioEjGyGcg/ht7/9rfznP/8x294/EOz06NFDhg8fLieccIJAiGoDGroQpi5fvtxYeUDxg4DGMvIIgQ3mKps6darZX1c/cPdmQ6dOnUw+8R/WYJiTDoooCJagIET5oUzyFcCjd+/eRvEIRR7iw6oDru/69+9fapkCzhBkQ4CNuZjg/g1Ccrhig7IO1m2ff/65z3sRFxcn3vdt3LhxJjuwlkE6UJ42atTICOAfeOABwxJKT3/5c5YF8aA4xRrzUyEvaGD37NnTnBYfHy/nnXde6Yj2Cy64wDTWoRD4v//7PyNsh8IOAfcQSsxf//rX5plCmb3L6c3GX7lhXVjevYDbPih6Me8gLGtWr15t8sCf4CLA+qjm9wNzx8HCGPUFlPj47+v5x6ALvLcYAYx5GOGK0dbTvuoguGuEFRzqadQBCQkJ8qc//cmkgXcY7jJhcYrvBdJNS0szFm2zZ882ijoI3TH4AO/gp59+avL34Ycfmnocyi8M3kBAHYr6CIo8DMRAvYGAegXB1mOoe+zAD4w4Rl3zt7/9TS6//HIzKADK/W+++cbsh8DAVx1kEjz8g3oT9TuEDPhm4TuH4Mv9pr861Be3w8lzFYQEWN9UfFMw0h3z18L9Ldp7UJjj+S/vnfPHFVd75plnzGAhDBiCay604xAwWAD1BgYIDRgwwOzjDwmQAAmQAAkEgoC/7xa8snj3qyNVHoLBfmgLQM6BtjFkAZBrYICrv7a7d58EbXW2KQLxRNf+NaiIq32mTDECCcTExptSt+nQt7T0SclpcvLp16jLyS2yI3ud2Z+sCjiEYwd5BCAtW3eX+XOnqGB1n7z96p+NFRws4eDesnl6R8nOWmPOb5nRTVb8Mlf++/jlkrdnhyrvOshxg883x478uI5s6tYdD30pF0643+zbsnGZ5OzcJNlbV5U5R6RsnMpdxysJ/iUBEiglYIWMsIpDOP/8842FARpZycnJRskC5QrcnUFJ1q1bt9K4sJaDVQUUZWiMQWgKxRlcM0CJBgs5BKyd8UoT0A0o9GBJ9vrrr8uqVatkx44dpYcRB/OoQcmCfEEJiJHYaOzNnTvXLLCYsEqg0ogB3IC7MlhNgBEChM+w7kP5IXCyC0bUQdAMIS8CymSZ47/T7RmsRiCwhrUKRo9b6zKcZ116lncvvO8b4iHYuFOmTDH5A8N169YZ9rAoKy9/nhQq/2uvhRh4xpo1a2YioxEP5QACLOGGqwIWoUOHDvLqYUUr/jvjO9mUV25/9wLpIR4UplDiQrAIrgzBR4D1Uc3vCRiiTkK9CAECFP7+nn+ci7odwflullcHOXOIdLt37166C98EWOQhJCUlGcUd3mV8A5APLNiPAEUh6ksE1IWwpEM9iboAVr8YYPHFF1+U+SbgXFs32HoB/3/44QejGLDufZEuyo/BJQj+6iBz0M+PvY6vw/7q0Mpy85Um9wWeAOubiplDSY73CoN8EDAAB4r38t658riiHbd06VLTfjvmmGNMWkgXin7MDYw2JAYhMZAACZAACZBAoAiU993y7leX1xcNd3kIvs+QeWCA308//WQG1OIe+Wu7g6uzTwJrOLYpAvVU1+51GtRuckyNBEjASSBNXUUi5KvyLL1VF4lyeXTfEBrbsGWTCuhTWhorOrvPe92jzwgZNeZWmTntcflZ54Abf80TctLIX5U5zVvIkdI0Q5Yu/Ex+Viu47r2HSQtV7K0/7M7SRvSOU5nr2LhckwAJVEwADcjExETToNq0aVOZCKgHoHSzARYG2GffS1gRwLoNrsAgkK1MgKAUrjDhugCKOCiwfAVYXSFvO3fuNJZjcItgg9M3ud0XDGsrKEZewAjKLigR4WrTBsvO/scajdYFCxYYt2zDhg2Tjz76qJSnPb+ie+FMz27buGDYr18/41rCHgPDyubPxqnpGvcTwjxrceicF8bm1fsa1Sk30oB1DBSbcKHx97//3TtZ/g9SAqyPaufGVPX5L68OcubIvo9WcI7BE/7eXWc8bOMa3ueiDsBgDLgcflUV80jv3//+d5mo3nFwEPtgRQcLOavcq0peylygEn/81aGV5VaJS/CUeiDA+uZo6GCyaNEi44IKzzcCXFBV5Z2zXNu2bWusZjEgyb6nSA9tD1jnwyIebsfRzrQus3GcgQRIgARIgAQCScB+t6BgojzkCHl8+9GnwKAZWArCww9CRW13mwLbFJZE6K2PaANCL+/MMQkEPYFd2zeYPEIJ5i9ERUVL1pYV6s7okL9TjHD+kqsekdvu+0SSVGk38elrZMa7Xj7/tSJ3hvcm3SvT335Ixl75sAwYcqGmEe087Nn2igMhUIXXOToV7iEBEvAiAPdkCPDzDRcDGL0EoSgELjZgXh+4Y4BLIoQlS5YI3JtB+YbQpk0bM+cH3JxZyy/sh/UR5vuxAelapQvmCYFbRli+wZ2a83r2fKznzZtnXI4hb0hr4sSJZuJfzNtm50yzaTrj1cY2rDgw+sta66E8EBwheF8T+cc+WH3A2s8uUG5Cefj++++XZgnuO+1kznYiYxzEKDPMjQZXb3AXiXmUENB43bdvn9ku717g+k6OiIdgFZZw8Ya0MSoNAe7bMEK9vPyZEx0/yC98w9sAixdffHDcyQjxbIC7CrilgtAN1jC4p3gOneXEuU42FZXbpo21vRcQzj/33HOCOQ1x3yCwt3yQN2f+nPG5XX8EWB9Vjr2tD2w9YmM5n+uKnn8bx/lu+quD8M7be4N4eB/hetIGuKzD/Gw22PfM/neukWd7Tec7CGszfGMgtMf8b/Yc73rM5gPr4447Tlq1aiVz1NWxDfhOIH8IzvRtevY85xr5tXn2XjvT8FeH+uPmvAa3g4+AfZbY/jn63sB9JKwB7rrrLuNyfL1a62OwVUXvHFLy5op2EN5JKNsw1wzeMcxhiXcSrinhthbtEbxHDCRAAiRAAiQQaALe3y3KQ46+A1deeaWRy6BdDvkNgr+2O445+yRsU4BIaIZo9f//t9DMOnNdnwTU242OqhUZdppbUj0esuozO/V+7QP79xprNViUdevlcZWGTE2bfJ8kNGmq1my3mDwuW/SFrFr+jYwZd29pnvfszpYFX0+VJjrPW8eux5fuL9ybK3NnvSIduwyUuZ9PFLi9TGvZWU467WpZs2K+LP7h49J0v5/3juSqC8wzzrvZxIcrzGcfHitnX3yndOo2yOzDNXJzsuS0c/5g/nvHwc6KrmMiRvDPhrUuWfazSzvQEQwhQoqO0VoQlkDQUdUAZQ+U2nAZ+NJLL5mRyBjxBEsEuAbDKGW4H8P8OTgPAhO4PINy47HHHpPWrVuXXhJuzuByAPMI2fDUU0/Jk08+KVdffbWx9IISCIJWKNXQ4MWcIFBuZWRkGOs4zA/StWtX4zIRwloo2qDYgvAGVma49u9//3t54403ZM2aNWY/FFfICyyshg8fbtKy16/pGo1MKG8wNxEs2mJjY83oOFhYQXn01VdfyciRI40iCr7T0TDFnHtOizjkAQyhpIRLC7j+xDxlaJyirJibaf78+UZZBDa33XabuZ+4r5j8GPPvQYl0//33GxdREFj5uhdQGHrfN4xih4AcVoewYoSVHQTWuAaE6HAbCcGyv/xBqWqF4BCYYY43COKgoIQrNswVhfzddNNNxk0FnkMo+eA3Hq4vMWoObu8wv9Q///lP47oTwvpBgwaZ+Z/QrINlJOadwnnOckK5i2fHssG99VVuxMN5/8/eWcBXVf5h/FmzwRiM7u4GCVEEUcEWBUURCxRbFFv/doKFomBgICBloZSEoJR0d4/u2Iix+r/PO87l7rKNbSzutuflc3bqze8595zDec7v90vuWNAfPd1w8oWfI0Zynecqz2HnXEzvb4fnHIUJtq2UlABjhel6lDXXI4c0hSZe85x4h3Tzxt8/3a/yP8T83fM3RpGc8Ss9z3/+PgcMGGCvvbRKpXtgXu/5m+b13/MaRItlXlsojjEPhS9eG+jSliI8+8HrGuOF8l7CvLxe8l7A6wOvcYzxSEGcvxteK+ku9qqrrrJWv/xIgZbP3M+ytArm7995Kc/fvnMd4wcgkydPtvv4O+Y1jddjXh/p5pJj5f2FMa04ppSuQTxHncR4o+wTBQLGs+O4eF1iH3iPc7+/8Cvg5K6hrMOTG8ee3nQhv5/0tpUX8l8ILz3/pH4G8FrA38Crr75qP+DhM8lzzz1nn0P4207uN8cak+PKmK98BuEzHz/C4nMC78+VjZtaxozh8yC9IvD3Rav93Jb47MLrI3k5Lydz2xjUXxEQARHIzQT0PJB170Oc84LvQciZHxs77uad9w+ez+6My+7+fxK6uc4PzxR58Hlgvo95aZXgnASai0BaCZhrhfnRA//rF2eEnrSWyrv5jh7egyfvLY8WbW7Dw8/8ZAfK2HAvPFQbvf/3O+o2SvTPP+yrJzBtwkAMGLrXCnTMGBMTbfLVsnHhGNOtUfPrsGPbSiyc8wvue+wbBIeEYsyQF1G7QTs0aNrR1j11/Bf4d/K3ePPTxXadceX+mTwY7w5czc8kEBV5EG8929qWeeKlXxGxZRkGfXAHYk1bHw7eYl9W//zji0nKhBUtjT9GvZ1qO7axfPzn3yk+GPODr/mKNR9DyCdD51fEfJnBl6PpTXzRQkGLQoQTLyi1OqKioqz1miPMeeblyxR3EYq3bb54dcQcz/wU25x9nmVp8cZ+eb7UoCUI86ZXPPFsOz3rtNrig6ZnH9NTB/NyTHwB7D5u9zr4lTiPCfN5vsSlaMSv85x0vmPh5OPcsyzdq/HFGIUt93S+/rnndV+myMXjyOPNOjmGtCSKnOcbp2c96Rm3U9bhzf45fXT2ZWRO4YHnBOPaKCUlQMsSiiq6HiXlkpNr6Tn/U7sGJTeGXbt22d+7e9zL5PKldRvvF7yH8Brieb31vI6518kPBRi3lOcdr9VZnTyvoenlllL/LuT3k1KdeXn7hfDS80/azgz+tni/44dQ7iml31xqXHn/peDtxI5lffztMEZkcs977u158zJFRH4swI8CHDee3txf9U0EREAE8hoBPQ9kzxHlc7rnfS61Z3fPXuX1Z4o8+DwwIOnbIs8jqnUREIF0ETh6aI9xG/kAfv7xZXz6zs14oM8QlwhHa7NF//1u6/vxy0exef18uxwQEISnX5+I4iUrY/SQF/DyYw2sIHZd5+etCMdM/ibPT4P7gALcf/+OxN5dG9DziW9tef5pfkkX+yL09T7NsXzRRGtZxxhy61fNxOtPNceu7WvQvdenxnohCp+ZfsXFxZxTJqhAwfO242pQCyIgAskS4MsPJs7TIsIxLy2gnPhwXPdM7iIc9/GFjCO0eebluvs+z7IUrDxFOJbhF1XZKcKxTefFrmcfuS89ybHCcB+3e3lHxPIUp5jHXYTj+vmOBfM4ybMsX4J5inDMe77+OfV5zvmFHOvj8eIxT2tKyzg960rPuJ2yDm/2LblxO/k0zzkCuh5lHfv0nP+pXYOS6yGFr8wS4Vg//3PvXEM8r7ee1zH3/vDaw3uTc61235cVy57X0PRyy4o+qc60E9D1Ju2s+NvyFOFYOrnf3Pm48rftLsKxHv52Unre434lERABERABEcgqAue7byXX7vn+L+r5/Mp7n/Msnlx97vs8y6Z0f8yJ9yHsu6cI52xL6dndc7x6pvAk4v3r/t7fRfVQBHIPgXpNrkKHG3vj2JG96HzX264XHxzBZcalJKfkUtkKdfD+oDU4YGLK8YJbrETFJNlu7Po/3NztdVPvPiuWtbrs9iT7aS03YNg+U9bXJd71eHww7uj5iWudBQY1v95c6INs2eTKnK+dJI1qRQRE4BwCdK1I13o//PAD+vTpYy2kzsmkDSIgAiKQDQR0PcoGyGpCBETAEtD1JmtOBHHNGq6qVQREQAREIGsI6L6VNVwzo1Ydm8ygeOF1SIi7cIaqQQSSEAgKCkGJUlWSbEvrSvGSlZLN6ueX+FMtXKRksvu5MaRg2Dn76NbSPTkinLPNs0xa2nHKai4CInAugfvvvx+clERABEQgpwnoepTTR0Dti0D+IaDrTdYca3HNGq6qVQREQAREIGsI6L6VNVwzo1Ydm8ygeOF1yDXlhTNUDSKA6OgTlsKJ40dEQwREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAQsAQlxOhFE4AIJHNi7Fb//9LqtZdGcXzFz6g+IjTl9gbWquAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQG4nICEutx/BPNL/+Pi4JCPxXE+y06ycbz/zx8Sc8iyW5nX3+hMSElIsxzaKhJdF916f4YvhB/D6xwvQrFUn+PkHJFsmrX2KjYl2lXfvi2tjKgtpbYNVpCdvKk1mWj2ptaF9IiACKRM4efJkyjszaU9sbGwm1ZR6NZ7teK57lj7ffs/8WhcBEchaAroeZS1f1S4CInCWgK43Z1loSQREQAREQATyKwE9D+TXI5/7xq0YcbnvmOW5Hi+ZOxx7d67C1V3etWPzXPcc8Pn2HzkYgQ2rpuDQ/s0oXKQsLr7iUc8qUl1fsfAXbNswBx1ufgMLZn6HPTtWoPN93yQpczzyAGZP/Qyc33z3QPgHBCbZ77mS1j6xrWl/vIWGzW9Dg+ZdbDVjhz6Guk1uRK2G13hWm2Q9IT4e82Z8haDgMKxZ+ie69hoKJ+ZbkoxmJT15Pcu6r2dWPe51alkERCDtBObOnYv77rsPjz/+OB59NH3XurS3AmzZsgUNGjTAgQMHUKBAgfQUTXfeSy65BM8++yy6dOly3nZT69fIkSPRt29f1KlTB/7+/li6dCnat2+PDRs2YPv27Rg/fjwqVKiAX3/9FX/88QeqVKmC06dPY9++fXj77bdRqlQp43Y4Gp9//jmGDBli9zdq1AjBwcEoVKgQ2rZti4YNGyYZ38aNG/HWW2+hUqVK5vrrB6736tULbdq0SZJPKyKQFwnoepTydVLXo7x4xmtMOUlA15uUrzc9evTA2rVr7TMKn5Pi4uJQs2ZNLFu2DOXLl8eoUaPsodPzT06ewWpbBERABEQgMwjoeUDPA5lxHmVnHRLispO22kqWQL2mnVCj3lWufZ7rrh1nFs63f/bUz9H6ikdQuOjdiDq617P4eddrN7wWlWtcgsAChVC2UhNs37LgnDIFQ4ujQtWWVvA6Z2cyG9Lap9LlG5h+l0eC+eekK296FQUKFnVWU5yvN+Kjn38gmlzcDZWqt0pRhGMF6cmbYoOZWE9qbZxvH8XL8BLVEBgUkmrWiE3/oWK1Vqnm0U4RyG0ELr74YlSvXh2pWe5mdEx8qK1fvz5CQ0NRuXJlLFiwIMtFOPZ1xIgRKFu2rO32+dpNbf/OnTvx8ccf4/LLL7dC29ChQ7Fo0SIEBATghRdeQGRkJN5//32MGzcOkydPRkhI4jXkr7/+AgU3vrCiGNe7d2+89NJLeOihh/DII4/Yfs2YMQM33XQTXnnlFfCFF9OKFSvQrl07cB9FS6b9+/eDwiLFua5du9pt+iMCeZWArkcpXyd1PcqrZ73GlVMEdL1J+Xpz5MgR+ywSGBiIu+66C1FRURg4cKAV5PiRE5Oef3LqzFW7IiACIiACmUlAzwN6HsjM8yk76pJryuygrDYsgbi4GDuPOX0yyUvjwKCCCCkY7qLkuU6rK06xZ1xNeu53d+PISg7t2wgfH18jRAUgLLy8rfd09AlXeVdDZuHk8cPmPyWxiDeTkwICg1EwtIRdpUWZj4+PsyvJ3M83qY7NPtKNpHtfnQLJ9Yn7kmuf9fqYf04KLVLGjsVZdziejj7ubLJzpw2uhJeoardlJK/n8WFF6anHNpzMH8vGuPlkXXGxSWPoOfU7xzixzVh7bDyrIjMyZoo8ugeTfn7J5EtaH9lEn4p0Fd2wcgoWzx7qWudCSudEkkxaEYEMEKAVFdPRo0fPKc19/DL51KmzrnO5TEssJ8XExNiXJnxxEs/rn/ndcNkp4+l2gdZentcpzzqdujk/ePCg+6pdPnbsGA4fPuzaHhERgdtuu81ahHEj6+fX1OyPe2I5TxGQ46O7SM6PH096nXIv63BiHe6patWq8PVNfDxJrl13hp772ReH01VXXWVFOPe6neUnn3wSbPe1116z1m+OCMf9HTt2RJMmTawAx3XyDQoKcvWJ2yi4Udh74IEHMGXKFG6ygtztt9/uEuG4rUSJElb0o4Dnzpf7lEQgOwg4vzNdj3Q90vUoO35x+bsNXW+84/mHzzYU4TwTLfXfeOMNrF+/Xs8/nnC0LgIiIAIikGkE9Dyg5wHnZNL/PxwSZ+cS4s6y0FIWEaDI8u+kjzD6m3uxeM5QjBv5NH7/MdGq4NTJY5g1uT/+GN7btu65vmbZePzw6Y1YvmAMfhxwC5bPH5MkPwv9/F1PrFz4qxXTls0bhahj+4yl2jhsXD3N1rls3kjj+nIlFvz7HRbN/tFuO7B3gxVwtm+ej+nj3sXwgbfZ7SdPHMHsKZ9iwqhn7br7n83r/sGfI/pgy/qZ7pvt8qa10/HtR1eb/o3G1D/exHefXGdEor0p9iml9j0rPrB3I3794UGsXjwWRw/vNGO9HzPGv28YfIoRX3bDigU/2yKb187Ajq2LsXv7cpDBwX2b0pyXzFM6PulpkwJeSmndir/w3UfXYP4/32D8yGcx5LNOWG+2UTD7d+KH9nyYO+0LfN23vRHQosxxGoJFs34weZ8x4xlpq+UL9tlTB2D/nnX2HDp8YCt2mjHzeJPDQSPAMs/UsW+CfOdOGwi6MaVQy+ND0Y7Hn+djcudESn3XdhFIKwGKZY899hhatWplXSty3rp1a6xbtw6rV6/GpZdeimeeeQZXXHEFbrnlFivU0Z3k8OHDrVjTvXt3K1xRKKMrQ361TIGOwhz30UKNiV99ffnll8l2iy/bk6uTmZcsWWL7R4st1k/rMAprdG25fPlyvPzyy/joo49svcyzY8cOfPHFF3bfsGHDUK5cOezZs8funz9/vrUOGzt2LG644QZ89dVXdjvdHJUuXRoDBgyw9dIFEt1AuqfNmzdbLg8//LDlQfeObIdp1apV1oJs0KBBdt293eQYuu9ngffeew/XXXedLevpNtJuPPOHfSQP8uVx8kwtWrTAxIkTPTcnWefxrFatmrWmo8vOhQsXpljXoUOHQGZKIpBdBHQ9gnU7q+tR0jOO1zZdj5Iy0dqFE9D1xruuN7TqTynx2WjatGl6/kkJkLaLgAiIgAhkmICeB/Q8kNK7Ff3/4+zPSkLcWRZayiICtEyjq8fjUftN7LNbbUy1Y0d32xhuBYILo0SZ2lYcYfOe6zXrd8SJqAMm1lsZdH90DOo165QkP8t0uOVN1GzQEb7Geq1Ry67GPWMAaje6FtXrXsHdWLnoN2shdrFxV1mqbB3b1oTRz6NNx6dsuWaX3I1jR3bZvMEhRRBesroVb+yGM38obEUe2YMb7vgYVWqeG+unWu3LzQvtWBQpVgFXdXoddJ+5ZukfyfaJQlBK7bu3yeXipaobl4sF7eawouXMOKqYduJwaYfeuPrW97BiYaIQV7V2OxQrWRWly9e3DIqVrJbmvGSe0vFJT5u0JEwp8VicOnnUuMy8GDfe2d+4Dn0Mc//+wo6tTIVGoKjW/LKeuK/PBMN5l7E88UeDizrj4vYPYY4R6Gjdtm/XKnPObEGFKi3Q7rrnLdsqtS6zTTZqebsZf3Ujtu3GaSPkla3YGHWb3oS1yyaY+H1BqGjciHIsPNY8Hz3PiZT6re0ikB4CjBtG4Y0ugSgIUVQqWbKkFanq1q1r3RzSKmr69OnWmopx0Li9Z8+e1oUihS+6OuSL4w8++MCWpxtFftVMF5F0schE4a5bt27Jdi2lOmklduedd9p6O3fubC25GDNt27Zt1lKLotL999+PH39M/FiBbheZaDnGlza0jtu7N9HV74kTJ6yQ+Prrr1uXR99++60V5ebMmWO3U9yqUaOGrYsWY9zvnmjxxnHTau7DDz/EmDFjrMsk5qlXrx6KFy/uyu7ebnIM3fez0IMPPuiqy1VJCguMFVekSJFk3W3yGNBijvHiUku1atWyLjtZFxPLeSZnm5PHc7/WRSArCOh6pOuRc+1xP7+cbboeuVPR8oUS0PVG1xvn2uJ+LjnbdL1xp6JlERABEci7BPQ8oOcB597vfpY72/Q8kEhFQpz72aHlLCNAkSwgoIARRQrYNuiK8vDBbXbZ18cvSbvu63QNyTLhRmSiIEURxX0/C9INoyNWJanozErVWm2t9RjFl/JVmhvruFXGcire5X7S19TpnigCuSe6Qpww6jkr7rlv91zmGCnkMYUULGbFJc88XD9f+55lfNz6wzZCzsSLS60N1pHevCken3S06dl3Z53HkalgocQX7BQOj0cesGJsUHAh0P0mjzP5bTCx7mgVt3PbYmsFSGGTriyLl65lRLrd+Pn7+61LzzATS89Jjlu+wkXK4uou71pryJ1bFuLkibOu9s5G3QM8zwmnHs1F4EIJUDSjkER3hnSvSNFr0qRJttqwsDArNPF8LVasGGhNVrt2bVeT7du3x4QJE+w6reYKFiyI8ePHY/HixaAVg5MoVhUuXNhZTTJPqc7//vvPioLBwYmC+d13320FwCpVqmD06NH4+eef7RfSjGnmnpzfFsfDxHVaflGMo8jIxDhqFMkcCzKKh46YxoeutWvX2nzuf5iHbgqYPPM4bXGfs+z0w5Oh535ypTiWlkRrPYpttDj0TLRKJCtnHJ77nXUKmWTIupj4pZdncrZVrFjRc5fWRSBLCeh6BBsT0vkde15rHPi6HjkkNBeBjBPQ9UbXG8+zR88/nkS0LgIiIAJ5n4CeB/Q84HmW63kgKREJcUl5aC0PEmjV/mG0veZZ6xZx5l8f2xGejDpkLOPOxoVLbdjBRviqWK0lpvz2emrZ0rUvPe2nq+JckplWixRPQ41w5pnoHjSkULi1aKQlHaegAqHWSu62+39AmQoN8euQB40rzoVuRX3sMsuOHf4ESpWrhwrVkrqbc17kM2Ny54RbZVoUgUwjQDGHwllyiULdmjVrXLsoIDnnKeeMK0aXjxTyHHeLrswpLKRUJx+Ily1blkR0oltKCm9XX321Ffo490xOf9y3cxst+xwLOe5z77t7Xm9epntOMqDLS89Ea0a6AHVi1Xnu5zrHz+N3zTXXoEKFClaQW7FixTlZV65caWPMXXTRRefs0wYRyE4Cuh5lJ+30taXrUfp4Kbf3E9D1xnuPka433nts1DMREAERyGsE9DzgvUdUzwM5c2wkxOUM9/zXqondlSRx/cw2WqfR3aKTzl1PsLG/Utq/f/c64/bwmLPbxGWLSyKyrTKWcDXqX4UuPQZj6/rZKFO+oXVXuGnN37YM3R6mlBhzjKlNxz44cfwg/pueGAeJ20yvODub3MdoxuSe3Pt0vvZZ7zl1O5Wl1oZxjZlEXMxoXrbFsk55Z263e4zLs02nnynM4xMSj/MeE8uuXOWLrJUkGSeYl+FOorvJpXN/Ao8rE+Pe0TXo1g2zjKXcMeOW80m0bNsL2zfNtxaSzBMXd5ozbFg52bgVPYXQsNL2ePFcYqLVI63qnOR5TjjbNReBzCBAl4tOohvKW2+91Vm1wo+zcv3111s3lc46XUUy3pqT7rnnHsyaNcu6pvTzO2s5zNhmzldFzGt/Q2d+pynVSVGJbhhfeuklREZGYuvWrTZ+0siRI611G621GP8tzlw/mSjcMdGlJZMzJs6bNWuGsmXLYoaJI+ckxphj20zOdZPLTn1cdk+p5WEZp5x7u055imdO8txPV5Lsi2c6eTIxhiXdZjqpefPm1irwnXfeSdJnxvSjJeLnn39us7KvTjtOWfK/9tprce+991q3ndzOuHYUThkvzkm0tuvXrx/eeusty8zZrrkIZBcB93NX16Ozz5ru/HU9cqehZRHIOAFdb87+39B5jvGkmRPXm+jo6CTd0PNPEhxaEQEREAERyGQCeh7Q84BzSul9iEPi7NzPxHh5/eyqlkQgbQSMNy988glw2VUJCE/0NphiQYpsy+aNxM6ti1ChagsjkBzGkrnDbCy34qVrYvn80dhr4n+Vq9TUWj0tnTfCtb5z21JsNK4K6dqwdLn6NlaY+/5ChUth3Mg+8DH/SpWtizVL/sCmtTNM3YEmllwtMG7Z5N9etULf6VPHUbpiQ7s9KDgMs6d8ih2bF9g6d29fhhZt77djoOhzYM86UBBaPn8MdkUssS4ty1Zsgunj3rX5C4WVwsoFv5i4ZauNoNQUR4ybTbq+DClUzLrRXDz7R7uNsdc2rZmepE+BQSFIqf29pr6l//2E2NOnTL3NjNVYiHXVWCS8vK17kamX7hYrVW+NtSsmYseWBcZlY02cjj6OZf+NMPH0DqKkGTcFqLTmpcVfSscn3MSaWzJneJraLBia+okw/5/B1tqHrFaZ43TZ1ea4GcuapabfHEcxEw+vaPHKJh5gWXuu2ONjzhm6q6xqjsWRgxGYZY5ZUIFCiDq2F3Ua32DddB7Ys8HEghuHsPAKtjzr27d7DUILl8a2DbOtXFqpeit7LBkLkHH3Zkzom/ScMAzTkrZt9sHqpT5GzEhLbuXJzQS2b99uhavQ0NB0DYPWVRS3KJzR3SMDFjNuGy2sPjEXTboyZABbunXkF0gjRoywVmkbN260ed5//32XCFagQAEwbtxDDz0EumR0Eq3jaKnVsmVLG5/s448/tmIaY8jROiu5OoOCgqzV1quvvmrj0XF8zz33nHVxyX4tWLDA7qcAxdSuXTtQGBwyZAgY023y5MlWnKI7ycsuu8zGwqO4VKZMGXz//fc2fh3dcE6bNs2KUXQBR0vAvn37gsIWBUYKgUwcE7dTNKOYNXToUFuuSZMmViT89NNPcfToUduHUaNGudqlq07ucxjSDeXgwYNd+yk2Ujxjnh49eti2+IfC3EcffQQyZmrQoIF1+8lltk/XmV9//bVlyHEOHDjQjqlx48bgyyvypdtNCmw8vt999509tozTR56O1Vz16tXBMTzzzDM2TiCPORl16dIFTzzxhMvake0qnUuA4iYf1HnuKCUlwN8Mfz+6Hul6pOtR0t9GWtYy+vtJS915MU9Geen5x/uef3755Rf7TBYREQF+cMXnHyd5+/MPn7/4gRg9Drh/jOb0X3MREAEREIGsJaDngbzzPkTPA1n7W0ln7fN9zFdZZ6XadJZW9vxLwLwTMg/GwP/6xaFa2sLxZBmsuLgYl2VUco3wFI8xQlVAYAh8zMtrJ8XGRNs4akcPbcdPg27Ho6/8Z3etX/EXtqz/Fx07v+NkzZJ5Su17Nsb4dLUaXo1qddp77spV65+/2RJ3Pf6rdUnpxNJLbQB0M1nACKaOazweRy7TgpGuKt1TjLGCY4w7JloF+vklxrOiCOzrm2hJRIs4WsaxjpTOCfc6k1v+d4oPxvzga8SC5PZqW14iMGfOHFSuXDndVkwU3ygyzZw5E7S+SimWmzurXbt22fOSopZnojDB+EXuiS8nKKylllKqk19oHz9+PEm/2AZjrfG3wa/XnLhrrJ+x4EJCQpJtinVt3rzZMqJI5g3J/rbNeByLvrT2ieVoJRgeHp5E9Exrec98FO1ohccXSEppI0ChlOdmo0aN0lYgH+WaO3cuKlWqpOuRrkcZOuvz+/Uoo7+fDMHOA4UyykvPPzl78PPa8w8/yOIHYa1btz7nOThnSat1ERABEcgfBPQ8kHic9T4kY+d7Zv3/Iw8+DwxIfFudMa4qJQJeQcDPiCupJb5cDjRWVJ7JPyDxRXa8ca/IdGj/ZoQVLW9enp+wVmae+TN73bN9z/r37VqDkmXrGAuBk8ZarIbnbq9bp1Xdnh3nxkcyb/fR4ea3zvQ3wVq4paXznmIdjyOTpwjHbY4Ix2VHhOOyI8LZ7cZK0kkpnRPOfs1FIKME6DaRYhat2TilJdHNY0rJU4RjvvOJcMyTUp38qthTHHRvw12EYz0piXDcx7pq1PCua5P9bZ9xq8k+pjWxXJUqVdKa/bz5ihdP3UL4vBUogwhkAgFdjzIB4gVUoevRBcBT0VxHQNebnD1kut7kLH+1LgIiIAIikEhAzwM5eyboeSBn+aeldQlxaaGkPHmWwKkTR41bw/EILhiORbOGGGurKCN+1UazS+7JljG7t8+YdY7VGy25/vt7kHVzWaPulShi3C56e2rU8nZwSi6tWjzWutZcs3QcGrfqZizdCieXTdtEIFcToGs9ujA8fPgwfv/9d3Tq1ClXj0edFwERyL0EdD3KvcdOPReB3EZA15vcdsTUXxEQAREQARHIfAJ6Hsh8pqox7xGQEJf3jqlGlA4CBULCcMlVve2UjmKZljWl9mnJdWP3zzKtnZyuqF7Tm8BJSQTyMgG6NWS8NCUREAERyGkCuh7l9BFQ+yKQfwjoepN/jrVGKgIiIAIiIAIpEdDzQEpktF0EzhI4GzDr7DYtiYAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIXCABCXEXCFDFRUAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERCA5AhLikqOibSIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiJwgQQkxF0gQBUXAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgeQISIhLjoq2iYAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiMAFEpAQd4EAVVwEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAEkiMgIS45KtomAhdAYHvkckTFHLqAGlRUBERABERABERABERABERABERABERABERABERABERABEQgLxDwzwuD0BhyjsDbz/nlXOPe1LJPAlD+L6DBB4D/SeCPOd7UO/UlEwmEhmZiZarKqwls2LABnJREQASyh0CRIkWyp6Fc1kpCQoK9Ful6lMsOnLorArmQgK43ufCgqcsiIAIiIAIikMkE9DyQyUBVnQicISAhTqdChggUKwaMHp2honmqUEx8NGbuHobft7yPPSc22rG9etE01O+eN4bp738coaEbcPRoXcTHB+aNQV3gKAICLrACFc8VBGrVqmXO+fhc0Vd1UgTyCoHAQN1nkjuWuh4lR0XbRCDtBEL1FVWaYel6k2ZUypgNBPz99boqGzCrCREQARE4h4CeB85Bog05SCAvPQ/4GJXbmPIoiYAIpIfAgagDGDhjIPpP7Y+jJ44iwfyDD9Cmehv88+w/6anKq/OePn0ay5cvt4JEw4YNUaBAAa/urzonAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAl5EYICEOC86GuqK9xNYu2ctPp78MYbMHWLFqdj42CSdnv3CbLSu1jrJtty+Ehsba8U4inIU40JCQnL7kNR/ERABERABERABERABERABERABERABERABERABERABEcgOAhLisoOy2sj9BKavm45+f/XDpBWTEOAXgJi4mCSD8vf1R/s67fHXkyZOXB5McXFxWLlyJY4fP44GDRoYd5UKlJYHD7OGJAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIikLkEJMRlLk/VlpcIUGwbtXAU+k7si5U7V4Jim6cFnPt4F72yCE0rNnXflKeW6cV21apVOHLkCOrXr48iRYrkqfFpMCIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQyQQGKPptJhNVdXmDAEW4lu+2xJKIJfDxMcHfTEpJhPP388d1Da7L0yIcx08O9erVw9q1a7F69Wq0atUKvr6+3KUkAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQDAHFiEsGijaJAAks3b4Ubfq2wYmYEzYeXEpUKFCteH0F6pWtl1KWPLf9xIkTihWX546qBiQCIiACIiACIiACIiACIiACIiACIiACIiACIiACIpDJBAbInCWTiaq6vEOgcYXGmNxnso0J5+uT/E+F8eK6XtQ1X4lwPMIhISF550BrJCIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQRQSSVxeyqDFVKwK5jcDFVS/G+CfGWxeMPkh0Uek+hriEOLzZ6U33TVoWAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAUtAQpxOBBE4D4F9x/ahSHARV6w4Jzut4e5pfQ9qlKzhbNJcBERABERABERABERABERABERABERABERABERABERABERABFwEJMS5UGhBBM4l8PW/X6P7t92t4Dbs/mFJxLj4hHi8dsNr5xbSFhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREwBPxFQQREIHkCH035CM+MfgZv3PQGXr3+VZspKjoKvX7sZQW5B9s9iErhlZIvnE+3RkREICoqCnXq1EkiWuZTHBq2CIiACIiACIiACIiACIiACIiACIiACIiACIiACIhAPicgi7h8fgJo+MkTeO2P1/DsmGfxSddPXCIccz7Q5gF8eNuHCPQPxP+u/V/yhfPx1rCwMBw+fBgrV65EfHx8PiahoYuACIiACIiACIiACIiACIiACIiACIiACIiACIiACIgA4JNgkkCIgAgkEkhAAvqM7oPPpn2Gr+/6Gj0v7ZksmgVbF6B55ebJ7svvG2kRt3z5coSEhKBBgwbw8/PL70g0fhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQgfxJYICEuPx54DXqZAgw5luvob3w49wfMbTnUHS9qGsyubQpLQROnjyJZcuWISAgAA0bNrTztJRTHhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQARHIQwQGyDVlHjqaGkrGCcTExaDbN90w/L/h+O2R3yTCZRylLRkcHIwmTZogLi4OS5cuRXR09AXWqOIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIikPsISIjLfcdMPc5kAqdiT+GWQbdg/IrxmNB7Aq5rcF0mt5A/qwsKCrJinK+vL7Zs2ZI/IWjUIiACIiACIiACIiACIiACIiACIiACIiACIiACIiAC+ZqAXFPm68OvwUdFR+HGz2/E0u1LMbH3RLSs0lJQMpkAreKYFCsuk8GqOhEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAW8nMMDf23uo/olAVhE4fOIwrvn0Gmw9sBUznp2BhuUaZlVT+bpeCXD5+vBr8CIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQrwlIiMvXhz//Dn5v5F50+LgDKMb9+9y/qFmqZv6FoZGLgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAhkCQEJcVmCVZV6M4Hth7fjyo+vREJCAmY9PwsVwyt6c3fVNxEQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgVxKwDeX9lvdFoEMEdi4fyPa9G2DIP8gawknES5DGDOtEMVQJREQAREQAREQAREQAREQAREQAREQAREQAREQAREQARHIqwQkxOXVI6txnUNg5a6VVoQrWbikjQlXunDpc/JoQ/YRoAi3ZMkS7NixI/saVUsiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIikI0EJMRlI2w1lXMEFmxdgLb92qJW6VqY9vQ0hIeE51xn1LIl4OPjg1KlSmHz5s3YunWrqIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIhAniOgGHF57pBqQJ4E/ln/D24YcAPa1GiDnx/+GcEBwZ5ZtJ5DBMqVKwd/f3+sW7cOsbGxqF69eg71RM2KgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIQOYTkBCX+UxVoxcRmLhyIjoP6ozrG16P4fcPR4BfgBf1zru6EhsfC3/f7L8k0CrOz88Pa9assWJc7dq1vQuMeiMCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACGSTgY+I0JWSwrIqJgFcTGLNoDO4cfCe6t+yOb+75Bn4+fpna3/iEeHw0+SOs2LkCJUNLWpFvx+EdOHT8EMY/MT5T28rKyuZtmYcHfnwA7978LuqVrYf+U/tj+rrpaFW1FYqEFEGQfxBqlqqJO1veCV+frPNme+TIEaxcuRJFixZF3bp1QdeVSiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQiwkMyH7zl1xMS13PPQS+n/M9HhjyAB69/FH0v70/fMy/zEy0Hru6/9UoE1YGg+8ZbMUq1r90+1K7PTPbSm9dczfPRf1y9REaFJqmoi2rtISfrx/8/fxRpXgV3HXxXfhs2mf4/t7v0axSMxw8fhDN32mODXs34M2b3kxTnRnJVKRIETRq1AgrVqzAoUOHUKxYsYxUozIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIi4DUEss68xWuGqI7kNwKf/f0Zev7QEy9e+yI+vf1TRMdGIyo6CqdiT+F03Gm7zHVatFFQ43JcQpwL0+6ju20+1wazEBkdieOnjyPB/GOiULUkYgk+7/a5S4Tj9sYVGuOFa17gYpJ04vSJJOtcYb+Yjp06Zufuf2LiYsDJPTn52Q8nsd+0wnNSxKEI3PbVbYiOSazb2Z5cfdx36MQhO1ZaujnWbqEFEgU8xyKtWMFiuLT6pVi+c7lTXZbNQ0ND0aJFC4lwWUZYFYuACIiACIiACIiACIiACIiACIiACIiACIiACIiACGQnAQlx2UlbbWU5gXcmvIPeI3qjb+e+eOumt2x7E1dMROhjoZi3eR72HN2DRm80whMjnrAC1NGTR9Gxf0ccjz6OtXvW4omRT2Dd3nXo+ElH63KSFdBVI8u+M/4d9JvUz9b549wf0aJKC4QFh9l19z9PXvmka/XvtX/jqdFPoffI3uj6dVdQkNt8YDNav98aDw97GM+MeQYNX2+IL6Z/4Srz3sT38O6Ed3Hj5zfatinUPT7icbT/qD1e+PUFFO1dFOz31/9+jcEzB2PWxlm4/MPLrbA4Y90M7Di0w9bnCGee9bEhio89fuiBYf8Ns+41tx7Y6mrfc4H9/Wf9P7j/0vvtLq5XfakqunzZxYqIFAgp/k1ePdmzaIbW/f1lqJshcCokAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiLgdQQkxHndIVGHMkrg+V+exyu/v4JB3Qfh2Y7Puqq5ucnN1sXi/sj9qBheEQ+3exiHTxxGAf8CiIuPQ9fmXVG4QGFQxKpTpg7a1Wxn46ONXTrW1kHBq27ZujaG2kWVL7Lb1u9db+tyNWIWaEn30m8v4epPr8b7k963VnY/zf8JL17zIt65+R2wzM+LfkbV4lVtfbTG+/DWDzHmoTEYOGOgrYquLQP9A20f3+70Nl789UXbx0uqX4K1u9filetfwc4PdloBcPyK8ehYryNub347aAm3cd9G3NT4JlsPxcCG5RpaV5me9XHsb/z5hnVf+UT7J/D81c8jKCDonJhsFAc7DeyEeq/WQ6fGnXBl3Stt3ez/y9e+bF1VkhtjyJFr8Y0x2AAAQABJREFUh7od7H79EQEREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERSCQgIU5nQq4nQHeRjwx/BB9P+Rg/9vwRD7V96JwxPdTuIfww5we7/UDUAUxfNx37Ivdh+Lzh6N6qu93Ocjc2uhFD/xuKDfs2gMIdU6cmnawV3Vf/foUral9ht5UvWt7GTrMrZ/4wXty1Da7FXyv/svUsjViKbQe34d/1/9qJ4hUFPaYAvwCUCC1hl0uHlbbWeFwZuWAkjp44avNvObAFQ3sOtS4si4QUQaVilVAwsCBKFEosN/bRsdh5ZCco9p2KOWXHYys0fxy3kinVN2L+CLSp0cZmp0tK9t0zMb7e74/8jqMDjmLrwa1JYt8xjtz+qP2YsmYKNu7f6BqXZx1aFwEREAEREAEREAEREAEREAEREAEREAEREAEREAEREIH8TEA+4PLz0c8DY6dV2X3f34cxi8ZYyzJabiWX7mhxB577+TnM3DATFNFuaXILhswZgshTkQgPCbdFJq6caIW5IT2GWGsvun9komVaw/IN8dSop7Bm9xr079ofl9W8DJNXTbbuLQP9Am0+/nFcVTLO2vZD262I1qVZF9d+xqlLLVEkZJy5tJSh+Ni6emt0b9kdb/75ZpJqHSEupfroTpIiYfPKzV3lfODjWnZf4PhuaXoL7v3uXutWkxZx3Earuw//+hBX1rkSFDqzI8XFxcHPzy87mlIbIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACInDBBGQRd8EIVUFOETgddxq3fnkrfl3yK/58/E/rPjGlvtCSrFvLbrj/x/tx3yX3WeGI7hk71u/oKsJYak0rNoWfj591MxmfEG/30TUl3T/OeWEOxi8fb7f169LPWp29NvY1V3ku0DrPSZfXvhzLdyzHd7O/s24qj5w8gtELRtvdCQln89E9ppPoWpKWfUu2L7Gb5myag5U7V4L5nf5wx97IvRg0YxDa1mxrxT66m+R+uqFkooUcU0r1Uej7bclvNg//UJAkTyaKdJ6J/Q4LCUOFohVcux687EHM2zIPe4/tRWhQqGt7Vi1ERkZi3rx5OHLkSFY1oXpFQAREQAREQAREQAREQAREQAREQAREQAREQAREQAREIFMJ+L1uUqbWqMpEIBsInDh9Ajd+fiNmb5qNSU9OsnHdztdshfAK1iXkVXWuQrki5aw7yN5X9HYVo5j17oR3rYvHckXLWeu4iypdZOO+0fKOFnKM1UaLteCAYNzaLFEE/HbWt7bM4m2LMWbhGLSt1dZakNFqrHBwYTw24jEMmzsMm/ZtwlNXPYV9x/ah76S+tgxdWQ6dOxTT1kxDk4pNbMw3xqp7evTT1n1m8ULFrfXdJ1M+wbS106xlXu3StVEwqCD+Xvc3vp/1PRwrO7rAvLbhtVi/b7219qtRqgYuq3GZjX3nXh/FudplauPDyR+CcfBW7Vpl48tR7GOst/5T+2NJxBIr9i3atggc38mYk/jpgZ9QNqysi1eBgALYdXQXbmx8I6oUr+LanlULgYGBOH78OLZu3YpChQohJCQkq5pSvSIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQGQTm+5iX72dNczKjStUhAllMgILYdZ9dh3V712HyU5PRpEKTNLdIQc3fN9Ejq/uyUwGtwhxXk85+WpodO3UMdDdJaznPFJcQh60HtoKimeOa0j0PRSzWlR6rMbqUDC8YDsZvSy05/aUlHn/KTn4KlSGBZ4WqlOqjlV6R4CLnuNhMrU33fS/++iLeveVd49QyebeW7nkza3nDhg3YvXs3ateujZIlS2ZWtapHBERABERABERABERABERABERABERABERABERABERABDKbwAAJcZmNVPVlKQEKSh37d7TuEKf0mYI6petkaXuq/FwCx08fx6+Lf4Wfr5+1MKRlYHanLVu2YPv27ahevTrKlj1rpZfd/VB7IiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIpAKgQGpm9ukUlK7RCC7CdAN4mX9LgNdSM58bqZEuOw+AGfaO3T8EPpN6oc1u9egc9POOdKLKlWqgBOt4yIiInKkD2pUBERABERABERABERABERABERABERABERABERABERABM5HQBZx5yOk/V5BYMuBLbji4ytQwL8Apj49NUmsMq/ooDqRIwToopJCXLNmzeDvn+hyNEc6okZFQAREQAREQAREQAREQAREQAREQAREQAREQAREQARE4FwCck15LhNt8TYCa/aswZUfXYnSYaXx15N/2Vhs3tZH9SfnCMTHx8PXV8a9OXcE1LIIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEAKBOSaMgUw2uwlBBZHLLbuKKsUr4K/n/5bIpyXHBdv6oZEOG86GuqLCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiAOwGZkbjT0LJXEZi9aTbaf9QeTSo0weSnJiMsOMyr+qfOiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEBqBCTEpUZH+3KMwJQ1U9Dhkw64vNblGPfEOIQEhuRYX9SwCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACGSEgIS4jFBTmSwl8PvS33HDgBtwS5NbMOahMQj0C8zS9lR53iUQGxubdwenkYmACIiACIiACIiACIiACIiACIiACIiACIiACIiACHg9AQlxXn+I8lcHh80bhlu/vBU9LumBH3v+CH9f//wFQKPNNAJbtmzBkiVLEB0dnWl1qiIREAEREAEREAEREAEREAEREAEREAEREAEREAEREAERSA8BCXHpoaW8WUrgy3++xN3f3o0+V/XBwDsHwsf8UxKBjBIoX748fH19sXTpUpw8eTKj1aicCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACGSYgIS4DKNTwcwk0O+vfnh42MN4q9Nb6Nu5b2ZWrbryKYGAgAA0atQIQUFBVoyLiorKpyQ0bBEQAREQAREQAREQAREQAREQAREQAREQAREQAREQgZwiICEup8irXReBV8a+ghd+eQGf3fEZXr72Zdd2LYjAhRLw9/dHw4YNUahQISxbtgzHjh270CpVXgREQAREQAREQAREQAREQAREQAREQAREQAREQAREQATSTEBCXJpRKWNmE0hAAnqP7I33JryHb+/9Fo+3fzyzm1B9ImDdU9avXx9FixbF8uXLcejQIVERAREQAREQAREQAREQAREQAREQAREQAREQAREQAREQgWwhICEuWzCrEU8CcQlx6PlDTwz6ZxBG9hqJ+1rf55lF6yKQaQR8fHxQt25dlChRAvv378+0elWRCIiACIiACIiACIiACIiACIiACIiACIiACIiACIiACKRGwD+1ndonAllBICYuBncOvhPjlo/D2EfH4pr612RFM6pTBM4hUKtWrXO2aYMIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIZBUBCXFZRVb1JkvgZMxJdB7UGbM2zMLE3hPRtmbbZPNpowiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAjkdgIS4nL7EcxF/Y+MjsQNA27Aih0rMO3paWheuXku6r26KgIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIALpIyAhLn28lDuDBA6dOISr+1+N7Ye245/n/kH9svUzWJOKiYAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiEDuICAhLnccp1zdyz3H9qDDJx1w7OQxzHx+JqqXqJ6rx6PO500C0dHRCAoKypuD06hEQAREQAREQAREQAREQAREQAREQAREQAREQAREQARyhIBvjrSqRvMNgYhDEWjTtw2iY6MlwuWbo547B7p8+XKsWrUKCQkJuXMA6rUIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIDXEZAQ53WHJO90aP3e9bi076UICQzBzOdmokLRCnlncBpJniNQu3ZtHD16FBTk4uLi8tz4NCAREAEREAEREAEREAEREAEREAEREAEREAEREAEREIHsJyAhLvuZ54sWl+9cjsv6XYayRcpixrMzUDK0ZL4YtwaZewmEhoaiUaNGOHHihBXjYmNjc+9g1HMREAEREAEREAEREAEREAEREAEREAEREAEREAEREAGvICAhzisOQ97qxLwt89Dug3aoW7YupvaZiqIhRfPWADWaPEugYMGCaNKkCU6fPo2lS5faeZ4drAYmAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAiKQ5QQkxGU54vzVwPR103Hlx1fikuqXYELvCSgUVCh/AdBocz2BAgUKWDGOA6EYd+rUqVw/Jg1ABERABERABERABERABERABERABERABERABERABEQgZwj4JJiUM02r1eQI8HDQGicmJsY1xcfHw31inpTWfXx84Ovrayf3ZW7zXPfz80NAQAACAwPt3N/fP7kupXnbuOXjcOuXt+KmxjdhaM+hCPALSHNZZcw6AuvXr4fcLKafL39njBkXEhJifyPpr0El8hOBwoULo3z58vlpyF4zVorlnKKjo218R94fGeeRk/uyc2/kvY8T151l3v8ownO60Huh14BRR0RABERABERABERABERABERABERABERABLyBwIALU168YQhe1Ae+8GN8Kffp5MmT9gUhXxI6y9HRJ43YFm2EttNnRLdYM6fwFmteHMbn2IiMhmcEOX/XlCjQBVoRIjCQLyiD7UvK4ODEOV9YUqTgNHnjZPQa0Qv3tr4XX931FXx9ZGyZYwfSo+EDBw64XjB77NJqKgQoXBcpUiSVHNolAokEoqKisH//fvvxRJUqVYTlAgnwXhoZGYljx465Jmf9+PFj5p7K+2q0uaeewunoGGT210R+fr7mmhmI4ODE+15wcAhCQ8PMFAoKrs7Edd4PlURABERABERABERABERABERABERABERABEQgNQKyiEuNzpl9tCZyXgI6Lwa5fvz4cURFHTsznTAvBk8nqc3oWggK4gs9H/OyjvOExCkIRtyi6MW5j527lo00mrjv7HY/Px9jzZZgvt6HmWjxBrPO5bMT1zkx0cbRvMd0TWfXaUnH/T5mnmCspGBeHMOIgAmJ85jEeeK2xH0xZpsx0DOWBsCpaB8zRk4wL0DjzTwesXGJr0C3RW/D+lPrcXV4RxQsGIxChQqZqbCZQu2y5wtMindK2UNgzpw5qFy5MsqWLZs9DaoVEchnBDZu3IjDhw/bjy0qVKgAiXFpOwFoccoPBTgdPHjQzPeZ+QFEHjvuEtd8zY2tUCE/I4LBCGAJKFQQ5j7KifdVHxQw91Muc1uQWTaGbmbifTLBzrnu3CvZK2MkZyfeC+PM/Yvr8fE+5h6YYO9tp06ZOe93Zn7yZOI28z0NjkX6mOcAMz8Wj+jTZz+YCQjwQ3h4URQvXtJMJVCsWDEzL27n/JhFSQREQAREQAREQAREQAREQAREQAREQAREIN8TkEUcTwF+fc+XqIcOHcKRI0fOTIfNPHH9xAnzVu5MMjqYeSHob18KFiqUgGJFgUoVYF4UmpeFBQOMdZiPmWDn/FDeEcec8hmfn1HZ0lAB20x8GemZ2b2OlJY9y6S0nmjxRtHOGAGaqYaZquP4iQQjTEab6ZQRKg/gyGEfbI+AeYFphLvosy8vaXEQFhZqLI6KmincWh7R+qho0aLmpWa4tbJLqWVtFwEREAFvI0DRpWLFili3bp3tmsS4s0eIbl5pMbhr164z03bs3bvPfAySeE8IMR+qFC/ui2Lh8ahe1RfhRQOM6OZz5j7LD1HO1pX2peQLJb03uudxlp15Si352Y9TIiMTjCgHHDkab8TDwzhgplUr15tnCeMS03zowhQWVghlypQzH0FwKmsnWdClxFXbRUAEREAEREAEREAEREAEREAEREAERCDvEshXrinpPoxf3vOFYOIX+PuN+HbQxIGKtBZiPMzBBfzMyzO6pItHxfI+aFjfB2GF+VKQX+P7GsEt754MGRkZLfnCwjjx5WVqLzD9rNXdsWN8eWkmY1lw5EiUmSJx6OB2bNnsY45DLM68vzTWDYHWyiA8vIS1LqCFQYkSidYGjOmjJAIiIALeRqBUqVK2S/ldjKN75oiICGzbtg07d0Zgz5695vofB39jqVa6tB/Klk7ARU39UKK4v7EcS7RmSzyWuePaTkM39tsYv5mUtM8JCX5GjEsw4lwC9uw9hV27N2LRwk34+5gxQTepSJFQI8iVR4UKFVGpUiXDo7QRGlO7d9pi+iMCIiACIiACIiACIiACIiACIiACIiACIpCLCeRJIe608aW4d+9et2mXEd8OGFdTia4jgwITv74vXizBiG0wgo9xLVXUx8zpPtI5mklfrjlbNc84AYp2iS8vnZeOiVZ1To18gXnkSIIRR810ON7MjbsyMy1b6mO2x1pXZSxZNDwMpUqVMVNplCxZ0sxLWSs6px7NRUAERCCnCORHMS7GmEZv3boVmzdvxqZNG8z99qD9LKNECX9UqpiApo19ULZMoPmYIqPWbTl1NNPfLjW18HA+T/igRo2z5U+c8MXu3QlGmDuBHTs3YMb0ddbFZVBQgBHkKqNateqoWrWq/fDkbCktiYAIiIAIiIAIiIAIiIAIiIAIiIAIiIAI5AUCuV6Io+i2c+dO84Jrt5no9moHDh86akUbCm4lSviiVMkE1K/rY76+D7DrsmrzzlOXLzCLGkGUUzWPLsbF+VkLg/0H4rFv33Hs27/BCHQbjEAXl3iszctMWhYkugFLdAHGWD1KIiACIpDdBPKDGMd4qbT8W79+rRXh6GaSFm6VKyXg8ssoLtFNs/PRRXYfAe9rjyyqVeOU+AEKPzzZsycBW7bGY+u2zfh72iZMnBhv7n+FUbNmHTPVtLEGZS3nfcdSPRIBERABERABERABERABERABERABERCB9BLwMbFbEoOZpLdkDuU/ePCgdXm1Y8cO7NixDfv3HbRCTKGCfkaE8UGZ0kDpUmZulosU0UvAHDpM2dYsY9Tt3ZuA3XvijRBrpj2+xhojMUZPcHAQypUrh/LlKxo3YBXMvDwYxym/pTlz5qBy5co2PlF+G7vGKwLZQWDjxo0mJuZxNGrUKElztMymWMXrT16IGRcZGYmVK1di9eoV5v67G/zYheJSzRq+qG4EpoIFkwxfK+kgwCexHTvisWFjAtZvMPe1fbEIDg5E7dr1UK9ePWstJ1EuHUCVVQREQAREQAREQAREQAREQAREQAREQAS8h8AArxfi9u3bhy1btphYM1uNALfVvOw8hQB/XyMq+KJc2QSUL2fmZmIMNyURIIG4OFhRbueuBOMCzEw7TDy6o3HwNSZ3pcuUNJYaVa0wRXEqPwhzEuL0uxCBrCVAIY6xR8MYMNMjnTp1ChSwGA+M15zclmJjY7Fq1SosW7YEW7dsM+6b/VCrFlC3tq8Rh3yhkJ1Zc0SPHAFWr4kzE7BzV6yJTxuMBg0ao3HjxtYlc9a0qlpFQAREQAREQAREQAREQAREQAREQAREQASygID3CXG0KtiwYYOJNbPJCHCbEBV1EgWCfM1LTF9UrAAzmVgzRoTzTRpeLAvYqMq8RCAyMgER2+ONmJuAbRE+xr1lLGhdULZcafMyuQaqV69uLebyosWBhLi8dCZrLN5KYP369aBolVyiEBcUFGRFlOT2e+O2AwcOYMGCBVi+fCliTscYV4m+aFjf1851/83eI3b4cAKWr4gzk4+JnxprLCzLolmzFqhfv74RQhXPNnuPhloTAREQAREQAREQAREQAREQAREQAREQgXQT8A4hbteuXSbOzHojwK3F7l17zYslHyO8+aFKZZiJbiZ9jWiS7sGpgAikSODEiQQTlyfBCL7x2LwFOGxizdGVZbVq1c2L5lqoUaOGsfwokGL53LRDQlzajxaFFH//XB86M+0DVs5sIZCS68psaTydjWzevBlz587Gpo2bTbwyPzRr6oPGjXwV7y2dHLMq+9atCVi0JB5rjLVcAXPPat68FVq0aGHuX8FZ1aTqFQEREAEREAEREAEREAEREAEREAEREAERuDACOSfERUREmDgzq7F27SocPRqFImF+Js4MbJyZKlV8zcvwCxuZSotAeggcPJiAjZsS4/Ns3RpvivqgcpVKqFOnnpnqmJfQIempzqvySogDDh06hHbt2tk4eTye06dPt3GXfI1pD93uPfroozh8+LC1ABo1alSmHr844yv17bffxvDhw617wmeeeQYdO3a0bTCG2EcffWQtMinW/O9//zNuds/62f3nn39s2SlTprj6dPr0abz22msoVqyYHddFF12EW265xbXfc4H5v/nmGxtbs2/fvq7d52vblfHMQnrr6dGjh7m+r0XDhg2te2FyqFmzpnFxuMxanzqckxsjm3z33XeNEFQUe/bsQYcOHXDJJZd4dsmuT5o0CQsXLrRuIePj49G7d29Xvuysw9VoMgu5QYhjLLt//52OXeZjmKpV/NCqha/5IEGm58kcTq/YFBWVgAUL47BwUQJi43yNhVxz+xspqEB9XnF81AkREAEREAEREAEREAEREAEREAEREAERcCMwIFvlLr74Xb58OVauXIZjx46jdCl/NGmUgNq1AlGqlEze3A6MFrOZQLFiPkbY8EPLFoDRLbBhYzzWrtuOKZO3YcL48aharYqJz9PIinIBAQHZ3Ds1N3fuXOuGLTQ0NF0wnHJRUVG49NJLMXDgQFuebgKfe+45dOvWDYsXL8Yff/yBPn364Pbbb09X/WnJ/OWXXxpXchWMyPEvPvjgA3Tv3t3ELdxhXRVSQKNId/nll+PPP//EPffcg99++81Wyzxbt24FhSr3NHr0aJw4cQLvvfeeiYcYhypVqqBp06aoXLmyezbXMsWwefPm2byujWYhtbbd8znL6a3niAlyNWPGDBuH8a677jJuhqMsf/a5S5cuttqUxti/f39s374dL730kh0r42KRX+nSpZ3u2DktqZ944gkrpvJ3yXZ++ukne1yzs44kncplKzzHpk79C7t27kHt2n64/ppAY4Wu+7G3H8ZChXxweTt/tLkUWLQ4DnPmzjeC9Hy0atXaCnK8ximJgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAh4B4Es/9w9OjraWpl8+eUX4Avp9evmo2njU3js4UA8+IAf2l7mLxHOO84F9eIMgcBAoF5dX3S+2Q/PPh2ALrf4IzBgG/7843cjpPQ1os1YK6TkF2D8DTMdPXr0nCFzH4WVU6dOufZxmdZTToqJibEiDIUYWiwlJCTYdafMyZMnnax2zjz79u2z+biB1rO33XYbnH44mXfv3p2kHW537497OVqZvfDCC07RJHOKWBSlmKdkyZJJ9nFsTO5tc5lj8EwUx5JLtWvXBq3DKCK98cYbYBzMpUuXYtu2bdYqmCIc03XXXQdad3E/U/ny5a3LObvi9odCXPPmze0Wxodq1qwZxo4d65Yj6SIt0hgD0T3+4fnaTlpD4lp666HVXiB/TB6JfSYHppTGSDGtc+fONg+tUXmMpk6datfJ3jl3KKDS0tERxzt16oSRI0fafFldh20kF/+hUDpy5E8YMmQIQoL3m/txIG7r4i8RLpcdU3oPaNnCD0885o/27XywaOFsfPbZJ/YDg1w2FHVXBERABERABERABERABERABERABERABPIsgSwT4mj9Nnbs7/jwg374e9okVKxwBA/0CMCjDyeKb7RAUhIBbydgNANjBeeLWzv7G1EuEFd38MX+fSvx7bffYtCgz7Fo0SIwrlheTBTOHnvsMWNh0QrPPvusnbdu3Rp0YUe3srQwo5vFK664wgpZFOro4pEuGCl60fKLotLBgwfRpk0bawVFgY7CHPfRWo3p4osvtiI9l2mdRkumv/76CxRVmGhVRcupL774wlrU0jKLVlDsB108rlixItn+uJejKFexYkVbX3J/KAjRIu6aa66xu//++2/UqlULn376KR555BErGH3//fega8frr7/eClt0d8nEvE899ZR1idi1a1drwWV3nPlDPk6i2zi2RXeSCxYsMB8hlHJ2gW4yixQpgvnz57u2JbdAEY0ipJPq16+PiRMnOqtpmme0bc/KU6unUaNGntld6xT1Uko8P2g57c6Gy3SxykRLQIqWTGzf3UqO+XheZUcdtgO58A+FzJkzZ5rf0wAcPrQZd98ZgG6364OYXHgok3SZ96pWLSnIBaBRw1hjyT0Ogwd/ZT9qSJJRKyIgAiIgAiIgAiIgAiIgAiIgAiIgAiIgAtlOINOFOMbCGTLkO/tifd/eVbj+Ol880ycA117tZ+IzZXpz2Q5MDeZfAjTuadrEFz3v88MjDwaiUsUjmPzXBHz88QeYNm3aOQJMbidVqFAhUHij5QzFD8ZSo8XYV199hbp161qhhHHVGG9t6NChVqzj9p49exomH1vx7JVXXrFCCV0ysjwtl2glRfHIsQSjcEcXkUzDhg2zYhRdDFJsY7rpppvs/Mknn7TxxiiwMc4bLaEoEtIaLLn+eJazlaTwJzw83FpdOZZv7du3t1Zw5cqVs+4UOf4333zTim2M10bx57///rO10fLqxRdfxDvvvAO6Svz5559TaAUYb9yccmy0CqOAWLx48SR5uU4RKrVEt47jxo2z1oXMR2EuLCwstSLn7Mto254VZVY97vWSIY+DOxt3Lg8++KDLxahn+8x34MABzJo1K8vrcO9zblnev3+/iRf4JWaaWHDt2/nioV7+xrWp7su55filpZ/0SNnhSn9zbAPg53sAX5vrNYVXJREQAREQAREQAREQAREQAREQAREQAREQgZwjkGkx4mil8q95ubdn9z7zktwf998XgHLl9IIv5w6tWs5KAiVK+Bhx2R9XtgeWLI3DXCPKzJs317gJbG7j81DEyguJohnFDX/6PzOJ7gIpSlFoo/hTo0YN6/KwWLFiVhCjRZiTKGZRpGJeWoXRGoxClKc7wnr16jlFbP20SqPI1a9fP9d2LjiuFR966CHs3LnTin8bNmww15lyNp9nfxxXmk65JJUls+KM0dlVoEABl1UW47Cxfm5jKlOmjLVKo0UkhTDGL2N6+eWXU4zVRgs6ipYUJZlo/ea4obQbzB9acpFPaunpp5+2Ze+8804wdhrdXFLc43gpiDrp7rvvtu42nXX3eWptL1y40CUyUnilW9CUUmr1pFTmfNsdUdGdDS0pHS481zgxsX1abjqJ/HjO8ngxZWUdTpu5ZU5r00mTJqBMaR888lCgYZdbeq5+ZoRA8eI+uO8eP8xfAEyZOh2bN28019dbkVfuTRlhojIiIAIiIAIiIAIiIAIiIAIiIAIiIAIikFMELliIo8u3KVMmYdfOPWjUyA9dbg5EeLjcTrof0KioaPw5bo37phSXL2pW3ogbSa1kFi/eiQULd2DNmn1GACiMhg1Ko337aggKOnv4Dh8+iUl/rTun3rDCFBNCTZ3FzEv5RBHhnExuG9LSllv2fL9o3vnb+DzNLwJWrIzHvzMXGHeVC4wl2aXWmiy5GFm5GVpwcDDchTP3sdC14po1a6zoxu107eiIYJzTxSOt6S655BI8//zz7kVdy3RTSdeMvXr1snHQ3K3DnLrohpFWdIxtRSHOEdxclXgsOOU8Nqdr1VOkY2G6+KP1Fa23aKXmJCd+mbPOOYWkzz//3FrNkRMTrfr27Nljl50/rC8lvk4exkx7/PHH7UTrsc8++wwPPPCA3e3ez9TGnVrbjHXn1EPLvdRSavWkVi61fRQ5KcaRDWPbMdG9Ka0ePZNn++RXs2ZNVKhQIVvr8OyXN60z5uKECeOxeNFiXNaGrqH9zO8ye3p47NgpDBu+xFh57jHHowCef66teT4IyZ7GU2hl8+ZDePudv/HmG1cZcTd9lqQpVJnmzTExcUa034Jx49fiqiur49pra6e5bEYztmjuhyqVfTHml134+utB6Nq1m+vjhYzWqXIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiIALpI5BhkzVaIfz882j8YOImhRU+YL6wD8CN1/tJhEuGf0TEEXTrPgqjRi83X6UfMi/vT+D5FybZbTt2HDMu/I7hn3+24IFev2LCxLNi2v79Ueh250jc3m0EipmXl089eSkublURPw5djMZNP8Ps2VtdrRUpUgB165TCK69OsfX+NGKZsa6JN9Zau/DpZ7NRsfL7uOa6742lS4SrjPtCetpyL6flRALUVho19MVjj/ij41U+5qX3LAwY0B8rV67M9YjcY+DRouvWW291jYkv+Z3E2Gnc7yRaat1www3OKu655x7rMpDipLvAs2TJEjjx1r7++mvUrl3b1kOrJ1raOmKmI3DRIq9p06a2DsZKc++D+7JnOacjtJqKi4uz4pizjXNu4+QkCm1OopDmXrezne41KRZ+9913tizdeI4ePdrZbecsx7h3FM8ocPHaOWLECHTo0AGhoaF2jMy4efNma+HG8TvJvQ/ONmdOHvfee68V4mgZRvGK1oLOxLqd5FlPam2TrVMHLSDdU3rqcS938uRJK1i6b3OWPevkuUH3kzOMC1In0a0pzx+mffv2udx3Pvzww9Ya0alj3rx5Nk5hdtTh9M2b5zzXhw8fipUrluKOrgFo19Y/20Q4culx/8+oV7cU3nj9SgwdtgT9P52d47j4scn3QxYZ17BJRfDs6BjbHD1mBfqbe/Ku3ZHZ0aRtgxbc9/fwQ7myp/HDD9/Z+JrZ1rgaEgEREAEREAEREAEREAEREAEREAEREAERgN/rJqWXA92xjRz5E+LjDuK2Lv5GHPJFSEg2fWKf3s56Qf6IiKOgZcDPo7sbi4QqxoKqAn4asdS+iBsz6k5r3Xb99XVQokRBREaexqWXVMapUzFo1XoQKJDNmfWIcXlYzrgSC0alSkXRpXMD4w7vMHo99BuuvKIaKlYsYi2PSpcOtZYHFN/eevMqdLujsW3v5pvr4e67mmLa3xvxv1cmW8GuTp2SLjLpbctVUAvnEKClSdkyvriomS+iT8di6pTV2BaxxbjKq2osGE3wnhxI27dvty783IWZtHZj9erV5rc+0opejH1GEenZZ5+18d4++eQT65aRcdrowrBNmzZWYGIcKsaKpHjy/vvvu4Q0unXcsWOHFXkc94Psx3XXXQdaibVs2RKDBw+2Li7pxpKiGF0uMq4cRT1awNEVJsfx7rvvWkGGbilpHVe0aFHbT7qJdPrjWa5ixYo23t2HH35ohb7IyEhrfVa2bFlrffXpp58a96Lz0LZtW9tPjo9iIIUpWp1RZOQYKSrR3SYtxyhoMV7cY489ZuPbbdq0CU899ZRrzBwfRa2+ffva6a233rKuPVu0aIFLL70U7dq1s4wo1k2ePBmMqcexMO3atcta0c2ePRtVq1ZFtWrVbL0UBenikxZ2dN/JelJLCxYssP1n3zgWcqC1XGptJ1dfRuv55ZdfrCUkrafZdoMGDVzVpzRGjoliJUU33m9oKUn2TDwWPFY9evQwcUfL2vPkt99+s24oKWY+99xzdnxZXYdrEGlYoNBMUYznSnYlnidDhw7BoYO7cHd3f8PefC2QjWn+/O147vlJGPxNZ+MOMQj33N0UVxorMH//7O0HP1xp1KiMa+R1jTD42CMXJ9nm2pnFC7Ror2Tu119+NQ833lDH/B4T3epmcbO2ehq31q/na34nxlXllBX22sbrtpIIiIAIiIAIiIAIiIAIiIAIiIAIiIAIiECWE5jvYywJzpp9nKc9vnj+44/fscm8ZL+8nZ8R4LLPxdV5uubVu5caYYxWcHwJ6aTmLT/HwkU7ceTga9ZlF7dTrBs5ajl6PdACzzw7Hh99MgtjRnYzbu/Ovrh2ykdGRqNy1b7mZVoIli3pjeDgALurz9Pj8ImxOhg14g7cdmtDJ7udR0fHGnFvoBXrhg29DXfc3thuz2hbSSrXSrIEDhxIwO9/xOPgIR9cf/1N53U7mGwlF7hxzpw5qFy5shUt0lsVxTeKSDNnzrQWZIULFz5vFRRXKPTQxaBnohhBgcw90bWjI1JSkGIeTp6xjHj9oVtGJooMjsUbLfYcV4ru9TrL7uWcbZk9pzjHfmRE7GRfKAqmtSxFTh6HzHqJnp62U+OWWfW4t0Hh1/M84C2L54dz/Jmf7Dk5Mfyyow73Ns63zGPGeHWNGjU6X9ZM2U8Re9iwH3HwwE4bJ6xo0ez/UOb7HxbioYd/R/TJtzNlTBmpZPr0TbjrntHYEfFiRopnSZnVq/eiXsP+GPz1LejZo3mWtHG+Sqf+HYu5c+PR9fbbrSvX8+XXfhEQAREQAREQAREQAREQAREQAREQAREQgQsiMMA/rcX37t1rLBSGISjwFHrdH2Cst7L/xV5a++pt+Ro3LpumLjGGG0W448dP45P+s43LzyDccku9ZMuGhpp9xtJt8HcLrcvLe+9plmw+942MKff1lzejxcUD8d33i6wQl1Vtubebn5eLF/dBz/v8TOy4OPxiRK2dO3daK6rcwoTCmCNwJCdyJDcOWimllDxFOOZzRDgu0zKO6+7buJ3JEeG47C7CpCbCeZbjelYkxs67kJRWEY5tOHHTLqQ997Lpadu9nOdyZtXjXq+nCMd9FHndjz+38RxI6TzIqjrYrremsWN/x949O8y1x99YWGbvvZoxUYf/tBR//LnGuHNNwFdfz7OYbjBW34vMxyebNh+0FnL392xuBOho62qZsdPKlAlF19sShcrt24/g199W4fHHLsbq1fsw9o/V1vL7zm6N7TXCnftCEz/135lbjBV5LK69ppZx75p4/aEId9PNP9rzhX0oa6zRbjBWaLym0RV0oUKBJg5lBVdV7MuEiWtNnMv9JsZgGDpcVcPMi7j2x8bGGavYzaZ9H2OhWdHGfV237gBu79rQiFklXPm4sH79fvw3b7v56GU3LmldGbRK96Z0ZXt/8zFDnHUv3rPnAyaObClv6p76IgIiIAIiIAIiIAIiIAIiIAIiIAIiIAJ5jkCafETR3dd33w1G+XLRNs6IRLisPQ9WrdqLeGP1QZeTFCZSSnRTycSXfWlNTZqURWCAn/kafpsRWOKM+8Csayutfcrr+YxugLaX+eHOO4yLxSXzrVtX91hk3jp+utObOHEiDh8+jN9//91bu6l+iYAIuBGgC9FVJjYl3UYXK5a9Ihy7ERjoh2bG5WKY+bAkLi7eLnOdH49QCBv87QK88eZU22Nuo9vk116famKZzrHb/jQCXrPmn+PJPuPw2YA5+NhYhlPUuvveMejb7x+bx/nzyquTMX7CWjz8UCtcd21tNG/5BZ4y5ZiKFg1Gw4ZljKjvj1pGKKO4Rmu0rneMQPurBmORiRXnpGXLjGDWZhAC/P3w6COtjAvbU6hb/xMrEjLP4cMncdfdo9Hhmu/w/Q+LbDzXuXMjMHDQf2jX/hsT4/KEU5WJgzcLDz78G+7q3gSPPdoafZ4Zh0Ff/ufa7y0L13T0Q4XywKhRP50TL9Nb+qh+iIAIiIAIiIAIiIAIiIAIiIAIiIAIiEBeIZCyynNmhIwrNOKn4WhivBh2ucXXuJXLK0P33nGsMi8LmcqXD0u1k87+VcZiIK3J37xorF27BI6fiMHixbuQlW2ltU/5JV+1ar7WTdzOHZtzhRgXHh6O77//Hlu3bkWnTp3yy2HSOEUg1xKgaD5lyl8mNqgfKlfOfhGO4AID/XHRReVNPLxC1hqNy5woujG5xyflOrdXr16MizZRrOvZ4yK73KB+aXz3bRf8OfYeNDUfkfzy66ozuYBff11pRbHXXr3SumZmHLgbb6yDWbO32jy0jGPc1QIF/NGuXVVrKcf4cK/+7wpXHVw4fToWt3cbgZs71TMW6PVNmUJ4uk8bG8PtgV6/WvGOot7333Wx5XbtPoYhP9yK/p/cgG++ugW790Rizpxtrjq/GPgf6pl2aLlZuXJR2+648Wtd+71lwXQPnW82lnHRx805M9lbuqV+iIAIiIAIiIAIiIAIiIAIiIAIiIAIiECeJJCqELdv3z6MHj3SvETzwdUd/PIkAG8cVGihxBeWJ0/GpNo9Z39h48IyPSkq6rTNXrBgILK6rfT0Kz/kpTXpfff4YdfOrfjzzz/yw5A1RhEQgWwiMHnyJIQbV5SXtUmz1+ls6ln6mnFinvKjESfVrVMSERFHnFW88950awXn2mAWfh59J+bOfth9kxHEkqwaC7mkzzKTJq3H2nX70aplxSQZO3asidPGZea3xv0zU4ECAWBV1aqGGzeoiXXUrVvS7oswrjSdNOPvB/D2Wx3sKi3wtm8/ig0bDji7vWrOkJvXXO2DRQsXYc+ePV7VN3VGBERABERABERABERABERABERABERABPISgRSFuJiYmP+zdx7gURXdGz8hoRMghF5D770pRUERRFCw4t/yoWJv2MXeC59iw4KKYkdRFGzwgfQmRbrUQEILvaRRQsp/3hNmuVl2k03IJpvknefZ3DZ3Zu5vN3v2mXfOOcZr51tpUF+k30UFe1KvoL1hLVum52vZuTMu06Fjgg+lTevqmdZzXjxy5JhsjTpkBLgSxjOhivizL2e/3D9NoFKlIPm/ISGyds0aWbYsfZL39FXukQAJkED2CcTExMiGDZukb5+gM8Sn7LcWeHcEBxeTNBOyGQUhLxFWOSKiYoaBwgvNimT2As5lVtatT/coR844Z+nZI0IP12/w7nGOMaGcGpbu16pVQZYs2SH3D/9V881BuEOuvEAtLVsEG+/7EJk5Mz1caKCOk+MiARIgARIgARIgARIgARIgARIgARIggYJMwKsQN2vWLDmZlCiDLs24erwgP2xBGXvjxuFSq2Z5Xf2P3DTeytp/01ewdzu3nrcqZ5yfOzdKz2G1P/LP+bOvMzrnCReB2rWDTN64YvLXX9MkPj7edZ47Z08gOTnZ50ayU9fnRlmRBPKBwOLFf0uN6iHSoIFXs54Po/JPlxDkIG799nvWIR+z0OGkUiXjFmbKor+3ZxhsvXoVTc64YhJWsXSG81kdIG/dy6/OkpGv95crr2wlVqzL6r78vN6jW5BEbt6i+UDzcxzsmwRIgARIgARIgARIgARIgARIgARIgAQKKwGPrm4JCQmyZPFiuXRgMROOqbA+ev4+l3MFvftIsKL//fcuk8uv+kbeG71AkAPHvaw3q/j/+GOjXHtNG7nwwkbulz0eIzzWrSbnTX2Tt2bMh+k5v/zVl8cB8GQGAj26h8jKVSkyf/586d+/f4ZrPMg+gdTUVHn//fdl5MiRsmvXLrnllluMh9AGadOmjURFRRkvmhRp0qSJrFq1yniA1JbXX39dWrduLQcOHDDfc/77okO/L7/8snz77bdSr149eeSRR6Rfv376gHv37pVRo0aZHFmNJDIyUp5++mkpX7686+HnzJmj906fPt11LikpSZ577jkJDw+XQ4cOmdDBnUxuqytc1913UP/TTz81wv52ZWOvZ9W3rWe32W0nK/4//PCDNu3pGXHh1VdflbCwMA2Z17dvX+nevbsdSobt1KlT1bO0QoUKRpxJleHDh7uu52Ubrk7zYQefsQ0b1htvuHzoPJtdhhgvsuPHfRfLPTUPu4Vcc38b8Wzr1kNGfKzkqvbtdyvkistbad44iHApKZl7o3XtUkfvnTsvSh579HxXO2vX7pWTyaly7rkZQ1a6KnjYiTLe5hDhPv7ocu0fVQLZG84+QpMmxaRs2WBZu3at9OzZ057mlgRIgARIgARIgARIgARIgARIgARIgARIIJcIeFw6/88//5hJmSAT8pDecLnE+YxmECISJTb2+BnXcGLw4JZy/73dZNRb8+R//9uUoc6ePfFy87CfjKhQWT78IF1QsxWitx3WXZs/DgfJySny889rpe/Fn2l+nMm//MdM4pe1t+S4L1cD3MkRAUwSn3uOyMqVywWhYFnOjgA8PCFoxsWlh3Q9cuSIzJ49W8aMGSNVq1aV0NBQ+fDDD2Xu3LkCUSkiIkKWLl3qVxEOT4T+69Spo/1CFLzhhhvkxIkT+rAQ0DDm22+/XSfAhw4d6oKwc+dOiY6OFghVzjJhwgQ5evSoCnovvfSSPPDAA1rPWce5DzFysVlYgfacJbO+nfXsfnbbyYo/2vX2jO+8847JrbVD7rrrLnn88cfl5ptv9pjDatOmTXL//fdrnfvuu08Fue+++06HnJdtWEb5td22bZv5TCdL0yaBY7N37YqTVLPiZP/+hAxY+vZtLAcOHpVxXyyTxMQk3R40xxDUrAd4XFy6XUxKSnHde+Bgovm/SXaFp3zumQsFElvvCz+Rr75eLlOmbJSbbv5Rw0TaHHM1qpc3n5t4bXvLloPa34kT6W0eOHBU227btoYMvbGD+f+MypCDbv6CaGncKFxuv62L1ktIOKH9ZRjTgUS9Zu2tzb/6/Q+rzPfQcZlnxD0IfHgu3B8ff8Jl821dbSAA/pg1CmYxwMYAGAmHQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAKFj4BHIW7z5g3SrKkUyjwz+f0WInfMAw/+JlvMpCPKXfdMEkzaeSrvvnOpjP/2/+ShR/6Qq675Rl57fZbcedcv0uuCT+SiPo1kxT/3GY+R9LBZhw4dlSeenGpCHUZqU4+PmCr9+n+ur8FXfG1CeK2Xhx/qKZs2PGK8gKqf0V12+jrjZp7IMYEWzYNNCNhkwUR6oBYrGsXGpuckdI4T1+CNc/z4aUEZ+xC6bIHICC9bvOCxhLBy2Lf3HDt2ZvhVCE3uxY7DtuN+fc+ePRpuFYIcCrzGSpTImPcJ54ODg+WFF14w329B6iGHMdmCZ0GxfWEf43Ue4xyKpzGmX8n4t1mzZuqdV716de03MTHRiK8r9T1ft26d9O7dW28YMGCAwLsL11HgtdelS7oIoCdO/YEQ17lzZz3Cs3Ts2FEmT57srJJhH+IfPO6cubLwecus7wwNnDrIbjtZ8Uez3p4RYtqVV16pPZcpU0Y6dOhgvtvSc1jh/bCfnV9//VV69eolxYsX17qDBw82uU2/131/t6GdBMgffPbLh4ZIuXL5PyCIUu++t0D+mpFui5597i/1XLMju/qq1nJO1zpyy60TpXPX96VihdLmM1xL2rWrIRPNgpE5c7bKL5PWafVXX5ulQhps5Lx50RKfkCQvvjRDF5dccUUr+fTjK4zgdUKGGgHu2uvGq/faDde3t10J+jIfF+nYebT8aYS6tWv3yIsvz9DrP0xYbbzKN+j+mI8Gy3+MGHfJwHHy5Vf/yGefL9X6M6bfar5DQlTAe+rpaVp32vTN8ruxpzExcfKqscko33y7Qv75Z5fa1ltu6qhj7dj5fUH+udHvXma+75Jk0OVfyd+Lt8sLZvwo6AfiYaCU2rWKGdZ7A2U4HAcJkAAJkAAJkAAJkAAJkAAJkAAJkAAJFCoCIZ6eZs+efdKlk0eNzlN1nssGgS4mDBZe77x9qU93DRjQTPDCSnqEo6xePVTGmLBX7gV5bl579WJ9uV/z9djXvnxtj/WyJmA0BqlYMUS9fSCWBFKB4DVixAhZsGCB9OnTx0w+/66hAseNG6fiG7y42rdvL2vWrBGIJePHj5cnn3xSRZN///1X9u3bJx9//LHmwIPXV7Vq1WTSpEkqlsErDCEEIUKde+65cuedd+oL90Akq1Spknpxvfjii9rHY489pt5t119/vYpVEM/g7YayYsUKeeWVV+Tqq6/Wa3rS/Gnbtq3dPWMLUembb75Rr7Lly5e7QhqWM0oGPOUg4mBcgwYNkmnTpumz4dzAgQP1udzHeM4555zRhz1x4YUX2l3jaVxWxSeEk/zll1+Uib0IAbFixYqyZMkSlzhnrzm3ENF2797tOtWqVSszoT8lQ0hG10UvO/AExPthi6992/p2m9N2wN9bgXC7evXqDOPDWBcuXKjehK+99prMmDFDX+i/aVOzauRUQb1Fixaph6m/27B9BsIW3ofmXyYgCrzRht/fXV+eBlSuXElZtOBu9ZSrUiVdOezfv4nxTE0XU3HPls2PZrj12iFtBS/3cuuwznLLzR2NZ2Wc+b8qr98tzjq9ejWQA/ueMeeDjEdsSb304w/XO6voPvp+f/Qg9Vb799+9UrduRRl2S7rYjQply5YQLFbBy1l+/ulG56Hufzb2KrXvtj+cjBv4vPFGT/+5dVGfxmfcEwgnKoUFmQUUJ3WBAb7PWUiABEiABEiABEiABEiABEiABEiABEiABHKPwBlqGzxZUlJSpZwJTckSOAQwqQcBDxOE/i552Ze/n6UgtG+0GZ+9q/LyeSBKdevWTTDJD/ED4hpCPEJca9GihQolhw8fllmzZsnXX38tjz76qJ4fNmyYvPXWWxp28JlnnjHicXV544039H54LsFLDeKR9QRD7rTrrrtOHw053hBiEC8IYRDYSpYsacToAZr37Z577pGZM2eqNxnGA9HmmmuuEYQhHDJkiIYwdHp+ZcYL9yFPGgo8sxo0aKDeaBDZli1bps9knxeC4MSJE7WupzHqBR/+/PHHH3LjjTeqVx4EzMqVK2e4C8cQkDIrV111lYqi1pMPwhzyo2Wn5LRv9z5yqx1nuwg3CQ9EJxsnlzvuuENDjOIe9/5RDzn/kHfR3204x5zf+3jWkiURqLHgFCvCYcROES67TwARGXbResK631+hQimXCOd+zf0Ydbt1q2e+D7L3/+TejlOEwzUrwrnXC6Rj8zWrxZP3byCNk2MhARIgARIgARIgARIgARIgARIgARIggYJI4AyPOEyUQ4I7lcKoID4Tx0wCBYoA/tc8hVAMhIfAuCBuhISkf1UgXCBEOQhtEH8aN26sIQ/Dw8M1PCLEMFsuuOAC9SxDXXiFwRsMQpR7OMKWLVvaW9RjznpLtW7dWr3hcBH9w0sDbaDA82njxo2aDw5iHNpEwdZXIc4+k61fqlQplxcWni0sLExFRLRbo0YNl7cdvPo8jRH1MiuHDh1S0RKiJAq832wYSnuf81nsOfftww8/rPfCO7Bdu3Ya5hLiHkKHQhC15T//+Y+UL1/eHmbYZtY3RMi///5b60OIhGDprWTWjrd7sjpvRUUnGywQse8xPmt4oaB/eG7aAn74zNavX19P+bMN22cgbPFZTkzm4plAeC8K6hiSk9NHbsO8FtTn4LhJgARIgARIgARIgARIgARIgARIgARIIBAJnCHEYVK6QsVQ2X/gqDSXMxzmAvEZOCYSKLAEkJLsyJFUDcVYEB6idOnS4hTOnGOGR8r69etVdMN5hAy0Ihe2d999t3rTde/eXR5//HHnrbqP/Gw7d+6Unj17ugQxXMjMQwPX4NWGnGEQ0nKzOCekMX54oGU2RnjueSsQkuBJBw8/67nTvHlzDUnqvAfeXN742noQJK3XILzH3nvvPbntttv0shUXcWDZ2/uc28z6Ru472w5y0GVWMmsns/syuwbRE2Ic8p7ZcK0HDx5Ub0v3+9z7B78mTZpInTp18rQN93Hl9TG8V3fuyOte2V9hIhAXnybFzPccvuNZSIAESIAESIAESIAESIAESIAESIAESIAEcpeAR6WtQYPGsjmycKyuR5hNZ3E/dl7DflbXnfU91T1+/NSycmdFx76nexyXc7ybluZbWDJP/Wc1ZjsoT/faa/mxDbTx5IRBdHSqnExOdXnw5KQNf9+TbF0lTEcIQ4lcbLbY8Ig4Rv40XLdl5cqVcumlp3MqDR06VEMGwmPJKfAgxxu8xXAObTz44IMC4QVt23x07p9vXMM5iHbw+po6dap2GxcXp+Eq7Rjs9tixY2cIeva57NbWtVuIfPb5bP+ZjdHe575FGwidCfEMAsXziBMAAEAASURBVBc8uJBPr2/fviZkXqhs2LBBb9m6dat6uDVr1szVhO3XdcKxA/HxpptuUiEOnmEQr2yuPWzRti3u7WTWd4cOHVztwAPSWbLTjvM+T/ztdfc2wRjhJ2efygGIeghDis8PCvII2vCdd911l8ydO1c/C7i2ePFiQfjSvGgD/QVKgefigQPJ4vhXDZShucbh/n3tfuyqeGonq+vO+lnVdf+MZedeZ93CvL9nT5qEVw7L8N1cmJ+Xz0YCJEACJEACJEACJEACJEACJEACJEACeUnAoxDXvn172bkrWWJifBN38nLA2e1r2G2zZcaMnXpbTEyi9LpgsiQlGTckDyWr6/aWQ4eOy/MvLJVXX1tuT8n27fEy9rN18uJL/8j7H6x1nXfuHDhwTM7vPdmEozvpPH1W+wkJJ+Xd91bLrbfPzrQdTER+/8NmGXjZn656qalp8uFHa2Xiz1tlyP9NM5O4GUVLV0Wz89PELfLIY4ucp/Jtf+3ag3LtddNk0aL0/F75NpBc6PjvJWnSsGH9DKJJLjSbq03s2rVLQ1EiJCLEn8svv1yFkEWLFslvv/0ma9emf97/+9//aqjFt99+W0MkQjB59tlnXWOBUHTDDTdoLjfXSbODnHLffPONnnrsscdk3rx5Uq9ePQ2JiFxyEO4QDhIeUuhz+fLl6nn3559/ms9ssrz55psq3CAU41dffaXhCm17aBS53RYsWKAiDQQwFHi2ffbZZ7qPutu3b1cREWEZsT958mQN9fjll19qzrHff/9dxSAIQJ7GCC81bwViETwAK1WqJPCyg0C2Y8cO9YzD2OAl99NPPwn6+uSTT1zNxMTEyNixY1VYxHPZEIzwrvv1119VsMQ97mKZq4FTO0uXLpUpU6YItuCAAq+8zPo+dWuGTU7b8cTfNuztGZ9//nmJjo7W5//000/1/cVnAgXvG8Q2lE6dOqk34JNPPqnvGYRYiHgo/m5DOwmQPxEREUaMFNm61ft3eH4O1d22fvPtJnn6mSVeh5TVdXtjVrYgK/uYHZsM+/jjT1tk9PtrbPe63bUrUV559R+1ka+PXGG+p466ri9atEc++3y9/DAh0tjfSNd52N5Px66TK66aKvfcN8+Egs1/Wxa5RSQioqFrjNwhARIgARIgARIgARIgARIgARIgARIgARLIPQJBRqDxqLZ9+eU4kbQYGXpjcO71lg8tYZKsSpVSZjI//Tmio+PNZNNpTxH3IWV13dYf98UGM5meIM8+00lPPfLYQrn37tZSq1ZZEyrvqMlnVM5WzbCNiooz3k+e8zZlqJiNg3nzdsuYT/6Vb7/uk+ldGO/1N/4lc2cP1npT/7fdhAJMlFuHNTcTuHHSoIH3cR07lmyEiSSTM8u74JBp514uwhtvw4YjxhOospcank/jOe69u5Wce251zxUKwNmoqFT5+tuTMvSmm1R48teQFy5caD7zEVKzZs1sdwGBaOTIkSqOQQDylnPM2TDEFYRFRIhB94IcXs6Qj7gOzzNnWEd8JcEjDrnpfC1oF+NDeEr0bcM/+np/duvlZIyZ9REfH++zGBsZGanvA7ygcqNkp+/M+sutdpx9QHxE2EVnAXubC86ehyCLl6fwpP5qw/btyxbvGfLVtW3b1pfqOaozbtxYKR+6V668PDBtttO2YjFKYmKyVK3qOQxiVtedgLKyBVnZR19tcmSkycH4zSb1mn/5pa6uITz86EK58fomasNWrDgg745eLV98foEuznngoQUy4fu+xhO2mDz73BLp1q26XNyvrgp6JUsGS3dzjDZ//yNapvwx0Hw3elwb5erLXzsHDqTJB2OSBIsZbH5Ff/XFdkmABEiABEiABEiABEiABEiABEiABEigCBIY7XXWZ8CAS43QlCqLl3j2Hgs0WCdPpnsCuHubQRgrVux0mM26dcu5wpjhGXAfVqdbLzn36/a8fV7Uj48/qW06242MjDPnRCfSrAh39Giy8SDKyM8pAqJfhNTC1r0eJpsPHz5hu3VtURceeSjWgy0kJMiID64qHncOHjyudTyNGTdYEc4bx9KlQ1TQtI17Gl9mz2Pvc25R/4UXl0nklljnad0HO08lLi5JnxvP6/7M7u+9p/sD5ZxxLJNff0+VNm3b+FWEO9vnRVhFK3D4IsKhPwh+nkQ4XHMX4XDOKcLhGEJadkQ43IN2y5Ytq2HV/C3C5XSMuM9bcYaR9FbHnkfetNwS4dBmdvq2Y/C0za12nG27i3C4hs8HvCSdBSE/PYlwqOOvNpz9B8J+p05dZd06LJjwuLYmT4aYmQ1w2tayZYsbD9GSrjHhPrysHXS/fuJERjuKG73ZAne7m5V99NUmN2pUweQeLKefPztweNzBm61FizA9he2GDYeNF+1xmWsWyHTsUEVFOFzsdX4tmTZ9h9aLqBcql10aIeHhpeSO21voc2/ceFiv5cefRYtTzFgqUoTLD/jskwRIgARIgARIgARIgARIgARIgARIoEgQ8CrEYSK8/yWXmImjFNmyJTDDXeEdgsfbLbfOktdeXy7vvLvKhCycrqvNcQ1eXsNum2VCRm3FoUyZul36D/jDeNucEKyCv/X22eae1XLXPXPl0ccXZbiO+vB6G/7gfOxqmfBjpLz19ipZsHC3TP8LE2ppKgoh5OO+fUflt9+3yV+nwmCO/36zCdl3SMNSffnVRr3f9h8be8KEwdslfS/+zYSs2qJiVP8Bv6snHSpiIu+78Ztl0d97BKvtbfn5l636nH8v3isPPrxAw2HZa3Y7Z06MPPDQfOPBtFtPbdx4RB5/woTzW7Ffx2LrzZ69S/5Zvk9WrT6oISu3GDHMG8cjR04op4cfXaS3expfZs9j+3Tf4v3ZuOmILFm6LwM3hPKaMnWb3H7nbNlkrqPAI+/Fl5bJn1O2CcKW7d59OvzXv/8ektdHLpc5c9OfHZwCuRhtSyb8lCIhxctL//6XBOxQkbcNIQ0PHz6soSEDdqAcGAmQgCCMa1ilijJj1pmiVV7gycwGWNsH2wsB7e13Vsl9w+fpsOANhpDJsK+Dr5iiW+d1VLp52EwTQnmL1s/MFniyu3rTqT/u9tGOKyub7GzDuY8FLidMqGs8Fwq83LAQB78RYJcgtNkC4XG1sbconTuf9mbFIhd4BrZoUclWzdMtvOFWrkyR887rnaf9sjMSIAESIAESIAESIAESIAESIAESIAESKEoEvApxgNCxY0fp0rWLigZRUfm3yj6zNwQebw1MqMeUlDR5YHhbGfnaOS4hDl5eFSueXnV/UZ/acvCUNxnCQ2JiDJOCH390vrz4fGdxXkefV1xeX0Y81kG7Ry6aqf/bIY8/1l5DS7VpHa7nEXLq2iGN1RNuwCV1pc+FtfU8xCD0f48Jn9iiefpq+d69asoBM3GH0rt3LSPipUlds8L+BdP35YPry+Rfo/UaJgdDQ0vIJf3rybXXNNJzmMD7489t8tSTHfU82jxxIqNACjFtt8lP885bPaRnzxoqEo548m95+MF25tnqmBX49U1b6e9jr161pGGDCtK6VbiOv2HDCl45gmGjRuVNf+leap7Gl9nz6AN4+AMPg5o1y0o3E14S3BYbgXG2ERKH3dJcrryioY75sRF/63N88uk6k0utvI516H+aKm94xiC0JUTUO25vqVyefbqTEeVWuCY8PXSbr6dMajL9f9q3P0T+7/9uOMMbLF8H59Y5cpqNGzdOc3UNHpweztStCg9JgAQChAC+Dy+66GKzACQlX3LFZWYDnLa1fPkS0qxZmPFGT7dFCNUID7KaNcrKxB/7GVvYIMN14H35xa5qd7HvzRbgmie7i/Mo7vYR53y1yajrqdQznm2NjF2aOy9GL8NDDr8pQsuVUE/vihVPe25i/4gJ74xndZb583cb21U3g+e+87q/93//M1Wq16gmbdq08XdXbJ8ESIAESIAESIAESIAESIAESIAESIAEiiyBTIU4UOnX72Jp176jfPf9Sfl3Xf6stM/q3YEYFhaWLrhhBTpy0dgSHHw6ZuPp/fQJwHImPBbEHZQKFUqasHa2bvp1nMNEG8r0v3ZKu7bp4huOq1UrkyFEFc45C8JQXXvdNJ0YtKvfbf4XTJiiYNxWKHSO+wIj0o16a6V6vDU/JeIhpFXbNqf7tznvbJ8IY/nIY4tkwCX17ClZv/6wilg2Dw+2tm9XJcdOZhxxzRZP48M1b89j7/O2PYVDPdrq1T2dv69zp6qyc1eCvp//m7ZD2p/KI4dnqFw53dNg/fojGtbLvv+VKpVSAXThoj3eusu38whH+e34FNkVU1xuummYEYLzxwMi3wCwYxIgAb8SaNq0qbRs1VIm/5YqR087Dfu1T2fj3myAu209fZxuN0qVCtbvbYSkhJ10Xkf7WNSCayjebAGuebK7OO/JPuK8rzYZdb2VUW90N7lWE+TV15bLL5OiNJdqs2YVdTHNsWOnfzNh4U1x/a1yWpyDaLfsn/26+MRb+/48P29+ihl7qgwadIU/u2HbJEACJEACJEACJEACJEACJEACJEACJFDkCZxWVzJBgfB55/e6wISGSpa/ZqaYHGuZVC6kl5KSUiXGEQ4Rj5mZqHX3XS3lsUfb6+p9iGrZKW2M4PbluAskelu83Dh0hvFES5/M27cv40p6Z5sQos7pWk2efX6J6zTGfOjQCVf+O9eFs9zxNr6cNms5In9dVHScq5k6dUx+v1MqHXL1OcNRohLuw+W4+CRX3jycr1evHDYBVfbuTZNPxqZIQmJ5GTbs9mznQAuoh+FgSIAEApbAwIGXSvESofLDjynGUzxgh5njgXmzBWjQm931ZB9zPAC3G+GV//BD7eTJJzponru+F9VRT+/6EaEmZOVpm40Qz1jYExyc/rMLOV4n/LhFx2xtoFvTfj3ctClVZs1O1hDkuZlz0q+DZuMkQAIkQAIkQAIkQAIkQAIkQAIkQAIkUEAJ+CTE4dl69Ogh1/7f/5lcY8Vk7OcpJrxS4KhxaQ5lEPm3nCU1Nc1MRqafRPhKFLvFPq7bYs/bLVbRR0bG6uULL6gty5btE4SeQklMPGlCa52e5cQ9WPFuC0JkYULu87G9Zf4Cz95Z3saNeyMiymvIzAoVSqhHWI/u1c3K+X2uPHLxRnyyxT7+ww+11Ym/MR//q5fat69svAhCZOHC9P4xZkz+2YJ957G38dj6dutpfLjm6/22HWxDQoJcQiOeEXl1EG4SJTIyTjDJWb9+qAldWcdMGu7S8/hz9Giy8ofnQRXjHffP8v2ua5s3x0rPHjVcx/m5g/dmwcIU+fSzk1KjZiO59dY7jBdkxfwcUsD3feLECfN/efpz6m3AKTlQGY4dO+atOZ4ngUJBoGTJknLttdfL/gPB8uPE5DxdOOPNBlibardOuwzouM/aMRy7X0euU3iPoXizBbjmye7adt3tI+q7F2/jt/Wc1+05u4UHOsI2D7+/tZ666sqGmpvVXl9rbNvVVzXQQ7SDPLBDTOhpeP8h793/pm23Vf2+3bYtTX76OUU6de6kIcj93iE7IAESIAESIAESIAESIAESIAESIAESIIEiTiD4eVN8ZRAeHm7yiLQzuU92ysyZh3XyrE7tYia3ia8t5H69ffuOyZdfbdTQU927VZc/p2yXJUv3SdMmFY1Yc1LGfx+p4lmnjlU1pBVEsUrGe6x0mRBzbbPmVGvdqpKGiERYKXu9detKulr9O1MHudVq1CgjmzbFyqdj10lUVJwJmZho8s2dkOYm183cebtlphGJEC6yadOKUrp0iDzz7FIV/BKM+IWQkk3MeDD5Nvaz9YIcZ8j5NtEIbghJ2dCE3fryqw2yzXjAndezpsyYuUvmzNll2imuE5KXmHCT1auXUVHwjTdXyo4dCZprDt5iXbpU03EuX7FfunSuKh3aV5GXXv1HINS1bFFJhaw3Rq1UUQv3YdwI35hkvOy+Gx+p7TRrGqb9eOMYYVb2R5r8c5gMHTggQiZPjj5jfEsNc2/PExqaHlLM07t/8mSqMilZMlj69k3Pk/PLL1EqIP40cYs89EA7QUhNjOHrbzdr+MqtW+OUASZYEfYTISvHfr5BKhuWv/2+TRDSEuEz87vExBiPh59SZf0GkUsuGSgXXtjHTLoG5/mwduzYoeJfaOjpsJ95PggfOjx58qR8+OGH5nPQV2677TbzGSjr8a4VK1aYUGqDpEyZMtK2bVuPddxPLlq0yOTPusj8j5Yw/zNd3C/zmAT8SuDQoUNm4cBJ8z1e3a/92MbxvxERUd98T68yntxpxk753057swE9uteQv2bsdNnWmjXLyPc/RAqEqY4dqsiKlQdk2vSdGraxlbHF8fHGbhuRyl5HGOgHHpqv3s+tTE5Tb7YAC09eeOmfDHa3hsk7B68zT/YReVZhd3yxybBh69Yd0nHvMja0mbHzsMko8HSb+PNW2WLs0vPPdhbkwEOpUqW0sasis2btMkKbCUls7hv6n2Z67bXXV8gX5ncLbC76H/fFBmnVspL5Pqus1/35Z+vWVPl+Qoo0bdbcfI8y96c/WbNtEiABEiABEiABEiABEiABEiABEiABEjhFYEmQEYdOu3Flg8uqVatk2rQpUrJEslmhXkxaNM9HNS4b485uVXiMOfOjwausjBHxsLLfed69XWBNTEzWugi5iIK2ep4/SebPHewKT+V+H45xL7zrUB+inrPAEwz9Y/IOgtSrr3R1Xva4j3bQXokSxXQyMydhsKb+b7vMnbtb+8tsfB4HkMVJeMCVKnX6OeEdcODAcaldu6yGn3TeDo/EcuWKKxsnf3hQYKITk5/IN5SfJT4+TWbPTZUVK5LNZGcT6d9/gJmcTc9FmB/jWrhwoZm8jjDh0mrmR/fZ6hMeaxAR9u7dawTYql7vPf/884134a1y4403eq3jfmHgwIFy8cUXy7333ut+qcAeQ2Bs1aqVyUeVucg6bdo0FTgL7IMW8IFHRkYae5Dos3CcW48bExMj33zzlVStkiJDrg429iS3Ws7bdrBgw+Zzsz17sgWe7K6t72nrq032dK89t2HDYc1h55631V6HRz5+L3i7buvlxXb1mhT59bcUad2mjVx22aAz7GtejIF9kAAJkAAJkAAJkAAJkAAJkAAJkAAJkEARJDD6tPqRzaeHJ0qTJk3MivvZJhzUMhN+L00u6BUkDRsWLkHOKfYAUdmy6d5dCKmYWYHYBcEIJTb2hIpyoaEldMLO5ojxdj/uLV4crzNZQoRDwQSirwXPEJLDdxpiHwQxCIBNmlTQLjMbn/uY1q49pCG43M/j+Lr/a2REhPAMIhzOQ3ysU8dznjfL1P19gdjp7R60mRfl6NE0Wfh3qixZkiphlcLkuusvlkaNGuVF137tA6EiEe4uNjZWKlRI/wzYDnEtxHy44O1TqlQpPX38+HHjJVtMvc9wAtdQDwUiGz4/ECVwH+6B+Fb6lELgyWMQISh3795tPoe1tQ38wb22xMXFnSF0ok+U4sVPe2PiHvSdHyU5OVmZYFwQCywrjMXyBRPrBehp/Ki7b98+40Ubrm3B0/Gaa64xgu+KDEIceIBZWFgYbpHvv/9ePv300wxCXHx8vLZh3w+tyD+FjgDE91tuudV4mH1jclQmqBhXvXr+/A+cDVxPttCTLcD/tz2fWX/ZtcmZtdXMeMVnVmDv88EROsOQsNxq+owUWfR3spx33nnSu3fvDNd5QAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4F8Cp2ezc9APJs8vvri/dO16jgm/NEO+Hf+vCdcUIj26BxVaD7kcYFJPrddGrtC8Zc890yknTWS4BznQVq46YHKppWiIRn8KUPPm79a+EILzpqFNM4zDlwOEGvPFa8+XtgK1TmxsmixanCrLl6dK2XJlpf8lvaVdu3b5JvrkFqeEhAQZMWKELFiwQPr06SO///67ijvjxo1Toef222+X9u3by5o1a1RgGz9+vDz55JPSoUMHk+vvXxWNPv74YxNqLt54BfaXatWqyaRJk1QAuuGGG2T48OE6IXzuuefKnXfeqS/3sX/yyScqXEEARFszZszQ+1Fv9uzZ8uuvv+q5K664QsaOHau3v/baa5KUlCR///239OvXTx544AH3ZvP0+LvvvtNnvfvuu41Iu0TgTfzGG2/IpZdeKk899ZT53CyXnj17yltvvSX79+/X8Jzu40fOPLwXeB/eeecdGTVqlCxdulR27twpH3zwgVx++eXqGTds2DDBC302bNhQ0OfPP/8s27dvl5EjRyqLjz76SOvOnDlThdXHH388T3mws7wlULlyZRPq9U6ZOPFHE8I3yniwB8s5XfPXazhvCZzZG7ync9Mmn9lD4Jw5fDjNhI1ONTkDRa666ipp2bJl4AyOIyEBEiABEiABEiABEiABEiABEiABEiCBIkIgx6EpPfFBHpx58+bKmtVrjIdGkMnVFWRylgUb7w9PtXmOBAo2gW3b0mTJslTZsMF4H1WqID16nG9yKLZxCUWB8nRnE5oSgg7Eos2bN+tzQfBq0KCBikZXXnmlerJ9/fXXgv/9J554QkPv3XPPPfrovXr1UlEOAtNff/0lN998s0RHR2uevKefflpefvllrQfRrk6dOurVBgEK3nc2NCVywb377rsSERGhwtKUKVPUE/fCCy9U8er55583uRW3mdyMyLu42nhuHlVhDiEr4THWo0cPQXg+eIcNHjxY88TZ8eXV+wPvNuSmw/sA0fGrr74SPD/EMXirYTzYx9h37drlcfwbN25UXpMnT9Y64FSlShXN/XfkyBEV1KKiouTBBx9UsRPiHnhD9IM33I8//mhCCU/TR27RooW+H/CWgrAJliz+JZBfoSndnwqi+iwjwNauHSSXDQw2+UILnnec+zPx2DuBxUtSZOasVAmvXMWIcNeY97uS98q8QgIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4C8Co8+MfXgWXWGSZ9CgwTLceKC0btNNFiwKlrfeOSm/TE42E/C+h1I8iyHwVhLwKwGjlcjfi1PkwzEp8sXXSXLseE0Zcu21Ju/YcPWCQ0jGwlQgIMGjBmEd8WwQ36ZOnaqPCC81eFcgHBzCJUIkatasmevxL7jgAvnzzz/1GGIPwi7+8ccf6gHWpUsXVz204S2HnhWeIAgi5CVCM9oCQQmlXr160qlTJxWgIGwhhObcuXMFwhREQhsW096X11sbHrNGjRraNbzX9uzZo16DFStW1PGDDYQ1b+OH5yFEzG7duikDZ8hTG26zfv36MmHCBPnpp59UYIN3nS22Do4hSCK0MDwMKcJZQkVj2717d7n9jjsk6WS4fPTxSZk9J9mEOS4az16UnnLnzlT59LNkmf5XqvTo2ct4RN5BEa4ofQD4rCRAAiRAAiRAAiRAAiRAAiRAAiRAAgFH4KxCU3p7mtDQUMEkPHKRrFu3zky8L5Uvv9kpYRVDpE1rkVYti5nJfa7E98aP5wOLACaqN21OlTVr04xnWIqULFXCeL61l2uGdFSRKrBG69/RIBytt9BmEOrWr1/vEnfgpWYFIGwRJhHiD8QAX8Mh4h6ITwhl+eKLL3p9OIhxEA0PHDiggihCsNkCAS+QCsaJ70gIZ/DacxZv44eYh1CU8E7E9yrChHbs2FFvtYwhvA0ZMkS++OIL9RB8++23XU3bOjgBT0R4bsJ7Du8XQl2yFB0CVatW1VCVCJM6e/ZMWbEyWS7oXczY5mLm/7XocCiMT2qcY2Xm7GRZuzZFGjSsL3fdPUAXSRTGZ+UzkQAJkAAJkAAJkAAJkAAJkAAJkAAJkEBBIuAXIc4CgBcNJnzxOnjwoIZJW7VmpcyZFy/VqoZIyxZp0rxZMEU5C4zbgCFgognKli2psm5DqmzcmGZyook0bNRALr+inXp9BQcXnRxLyQ6XmVmzZsnVV1/tep+Qu8yWgQMHmlyRs4x34L16auXKlZoHzV4fOnSoPPPMM5oXzslvxYoV6hUGj9q0tDStji3CUyKfGUJewqvt8OHD4uzPtost2kBuOORFQ+45iH3wIkM4SAhf8JhDm7Z95715tW85Llq0SBmUKVNGx+N8JoTi9DT+3bt3u8J8wrMOoT4R5hIFQiOEPXjTIbxl3bp1Zfr06ZrHD9cR6tMpRiLvHnLyde3aVfr27UshDpCKWIEwi/e/devW+j/762//yIKFwXL+eUHGLhcur96i8NYaJ2CZvzDZfA+mmjDJFY2Xdj8V44vCs/MZSYAESIAESIAESIAESIAESIAESIAESKAgEAg2OZaez4uBYtIZHiDnnHOuTpYnJQXL6jWHZf6C42b1dpDExaWa3FFich0FcVV+Xrwh7OMMAvHxabJufZrMmZsqv/+RLP+uS5UyZWsbwaOHCbk6yAg7HQTeJAUt/CS8rhACEWJNdgs8WiHwQDhDyMOEhAR59NFHNawiPK6Qn+2cc85RLj179pTx48cLPLOQEwu5315//XUVwtBvKZMscufOnSoCIaylLQMGDFCmnTt3ljFjxgjywFWvXl169eplPHZmy7hx41xCEkJOQjyCeIXxQGDCOEaMGKFCVYTJJYd7Hn74YRUYEFYT7x28yZCrDkJV7969c8TCjjcn2xdeeEGfccOGDTJ27FgVvyCGYOzI04bFCgjr6W38mzZt0mfC+4j3E/nf8FmE2Pnll19K48aNpXnz5toenhU59xAGFKVfv37y/vvva6hOCC933XWXCUeYrCE8IVi2a9cuJ4/Ee7JBADkUkSsQn+tAKvC0bNKkiQpyBw8lypw5e4xdThNz2oRKDTKf2UAaLcfiTmDfvjSZPiNFfvv9pBw9Fip9LupnFj8MKnKe2u5ceEwCJEACJEACJEACJEACJEACJEACJEACAUZgSZDxEEl3Qcmnke3atUvDo23cuM6ElTssJUsUM0JdkDRsECQN6gcbASGfBsZuCz0BeLlt354qW6NMyMlIkb37ko1oFKKCcbNmLdSjAKEYC3qBVxgEnpo1a2b7USB2jRw5UubNmydJSUlec7k5G46JidGQlDYnmvMaxAibM82eh7cbvLa8FfQLrzZ8VeFlhVDsw0sOnnTuBSEecd7Wdb+e18cQ3bZs2aICIHLBZVXcxw/hEW0cMbHnwsLCMtwOcRELHVDAF57IqAuxDfsoECzBEDzQVlxcnI7F6ZmoFfnHLwQgTCcmJmpuPr90kEuN4v9p/vx5snr1KilRPEg6tBfp2AF2mDErcwnxWTcDJ+RNm1JlybI0iYpONoJ8uPEAPk/FVPzfs5AACZAACZAACZAACZAACZAACZAACZAACQQcgdH5LsQ5kWCSGZ4fkZGb1NMmKSlZKlYINsKISES9IKlXN9h4zDnv4D4J+E4AwtuuXWmyzYhvUdFiPItSJDklzXgPhBnxt4l6FUUYwaqwiRNnI8RNmDBBQz4i9CNLzghA+MJnavPmzdKoUaOcNcK7CjSBgiLEWcgQd5ctW2ZeiyUh/qg0aBAi7dsFSdMmxYy4a2txm5cEDhxIk1WrU2XlqjQj6qZI4yaNTHjRc8170yAvh8G+SIAESIAESIAESIAESIAESIAESIAESIAEsk9gdEBNqSHsWpcuXfSFyWuEsdu6dasJqRZpwmXtNjmPkqV8aLDJgSRSp3aQ1K5VzIT6Yvis7L/vReMOE0XRfIbM52hXqmzfIRITkyopqWnGq6usREQ0kIGXNtRJzJyEbCwKBBFOD2Ei4SUzadIkGTx4cFF47Fx/xs8//1xDEn7xxRfy0EMPefTgy/VO2SAJnAUBeFied955gnCzWByzfPky+fmXLcabNciEQC0mLZsbj/UGxRi68iwY+3Ircr+tW58ia9aK7N6TbBYilZOOnTpqGN7y5cv70gTrkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJBACBgPKIy4wHwqwhjCVyUm3fHq37x48nSUhwkJnkDpZaNdNUlKtRvRhz22QGspBeMw4csnt3qpmsTJWY3fB8E4mLTxEE6qpcpZLJmRUh9erVMyJuXc2XVkgxeHyss/GI89ggT5IACWSLQEHziPP0cPCSW7NmjXmtNN+ve6RUyWImv1y6l1xDI8plEl3WU3M854XAnj0IlZwq6zeki2+lS5c0+SNbaB5JeGyzkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJFDgCgRWaMrv4kEcJXnMQ6GJidsi+fQdMXqQUFeeqVg2WalXTTP6UIKlaJUiqVSsmZctmtwfWDzQCyI+DEF1796Wa9xt53cz+3nTRDWOFt1uNGrVMPrRaUrt2balVq5aZIPaefyzQns8f46EQ5w+qbJMEfCdQGIQ459Mix+C6detkw4Z1smP7TnMpzSx2MPk1I9LDSNeuXcyEY3XewX1vBGJj0yR6G16pJo+kSHxCisnfWMaInM2N92FzzVkaKLkuvT0Dz5MACZAACZAACZAACZAACZAACZAACZAACWRKoGALce6PhnCW+/fvN55Ru2XPnj1GoNltxJq9cvToCa1aulQxkw/MeMxVRl6wIKkcHmTCxAVJWBjDW7qzzO9jeLgdOpQmB80Lwtt+8zpwIMiESUwWE13ShEQLkvDwMCOw1jSvahr6r0aNGkZspdrq/t5RiHMnwmMSyFsChU2Ic9I7fvy4yesaqa+tWzdLvMkpB0/1OnWCTW5XMbldi5nFEUFSooTzrqK7D7u20+QqhfAWFSVyJDZF7Vnt2rVMrtLGmqsUtoyFBEiABEiABEiABEiABEiABEiABEiABEig0BAIrBxxZ4sVq8YhyuDlLAkmWdg+4z4FkQ5edPv375WNm/dLYuJxrYbwhRUqhBhRTiSsYpoJXSjmFSQVKxTTbblyzta4nxsETp4UgSfAkSPm5dpCfAsyr1Q5kWRc30wJDi5m3peKJtxoNWnZqooRUCub/Sr6CqbLRW68FWyDBEiABHJMoFSpUtKqVSt9oRHY2OjoaA0jvWz5Vpk156iGCK5UKcR4KqdJTSPK1TC5XWvUKFboxTmIbjEImbwbW4RPTlPbBrtWs2YNY9PSQyYjbHIJKpU5/gzyRhIgARIgARIgARIgARIgARIgARIgARIIdAIhgT7A3BhfOaOk4dWgQYMMzZ04ccKIPof0dfDgQd0eOHRQIrcekbi4BEkznlcowcb7KjQ02IQ9FLNNlfKhOA4ybYqUK4tt+qt06fT6RflvSopIQkLaqZfZT0zfj4tLMyG3ihmuQeaVKseOm4qnSsmSxTVvW8WKlaReRCXp0DHciG+V9FWhQgUJCoJUykICJEACJBDoBLBYAq9OnTrpUOPj403o6JhTr50yf2GMLoLBtzrsKrzTwyule6mHGw/1cOOpjoUwBaUkJYkcPGg8tg+mmq0RIs3+wYPFzCtZTianSTFjv6pUDTfCWx0jvNU023Qvbi4kKSjvMMdJAiRAAiRAAiRAAiRAAiRAAiRAAiRAAmdPoEgIcd4wIXcYQkB5CgOFMJfIg3PkCES5OMcrVqK3HzFCU4KZTDwmqYiTeKoYvU5Klw6WMmWCzEvMK03KGHHOOAycegWZ60FSyqQsK1EiSIoXF3059/PbyQueaklJaYLt6f0gOXEizYhnaWKikJlX+vbYsTQ5eizIhP7Ey+wfTZWkk6d5AAtEtnLlypoJ1/JGyDShJKtjm/6CyFbRuB/Co4KFBEiABEig8BEIDQ2Vpk2b6ss+HWwqwkfDew6vvfv3yb/rD7jCSNvFL+ZWYy/SzOIXiHZBZt8sejGLX5w21R8pQLGgxNo5bBEqOd4sMNEFJfHISWpeZlFJfDzsYvqiEni5hYVVMMJiVWnYqLJ0PSfdexse+iEhRfqnln3buSUBEiABEiABEiABEiABEiABEiABEiCBIkuAs0Ne3nqEuYRIhFdm5aiZoYMoly7MJZoJu6MZXoeOJJgJvWPmdcK8jptXksvTzlO7WD1fvDjy6aRvIdaZoZx6IZedWWFvjuEklr6ffi4oCCvvRSCDpaUFGYFQzAvbNN3Cu+/0MfZFUlKCjOiWekp0M+Jbcno4SE/jwrnixYPNBGjJU6/SZltGyhqRrUrVMkZ0PP2yHojYcgLSG828PY/PJ0KzspAACeQ9gWPHjuV9pwHco12M0aRJkwyjhI2EMHf48GEjcsWfWgATK9t3HtHjhISjatOcN8F3rlQp2KYgs/AjyIQzRkjjdPt4ej/VnAtS2wuRDS/YQ7uPbXJykLHPqebl2RZiUUl5owiGhlYw24pSs9bpRSXh4eFGhAuj97bzjeE+CZAACZAACZAACZAACZAACZAACZAACZCAi0BQmimuI+7kCYEkE8sKr5PG5cxunfvOczgP7zznC2+Zp2OEc0xMTNQ2ISQipCO29uV+jNBYxY3Sh9w0zq2nfdRhKK08+XjkeicLFy7Uz1quN8wGSYAEfCaARR1t27b1uT4rnkkAtg+iZvqiFixsOZ7hGOGmU4yqBvuIrXMfQhkWysC+wpbhBdto97FoBN7ZeJU2cabtvj2GXWQhARIgARIgARIgARIgARIgARIgARIgARIggRwQGE0hLgfUAvWWbdu26ap8eBuwkAAJkAAJkAAJpBOgfeQngQRIgARIgARIgARIgARIgARIgARIgARIIJ8IUIjLJ/DslgRIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIoHATGG2yjbGQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnkNgEKcblNlO2RAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgCFAIY4fAxIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARLwAwEKcX6AyiZJgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgEIcPwMkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4AcCFOL8AJVNkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkACFuEL0GYiJiZHExMRC9ER8FBIgARIgARI4ewK0j2fPkC2QAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnkjACFuJxxC8i7oqOjJTY2NiDHxkGRAAmQAAmQQH4RoH3ML/LslwRIgARIgARIgARIgARIgARIgARIgARIgEIcPwMkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIk4AcCFOL8AJVNkgAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkACFOH4GSIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESMAPBCjE+QEqmyQBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABCnH8DJAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZCAHwhQiPMDVDZJAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAhTiCtFnoFatWlKuXLlC9ER8FBIgARIgARI4ewK0j2fPkC2QAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnkjEBQmik5u5V3kQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJeCEwmh5xXsjwNAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmcDQEKcWdDj/eSAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgBcCFOK8gOFpEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEjgbAhTizoYe7yUBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABLwQoxHkBw9MkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkcDYEKMSdDT3eSwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJeCFCI8wKmIJ6OiYmRxMTEgjh0jpkESIAESIAE/EaA9tFvaNkwCZAACZAACZAACZAACZAACZAACZAACZBAFgQoxGUBqCBdjo6OltjY2II0ZI6VBEiABEiABPxOgPbR74jZAQmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgBcCFOK8gOFpEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEjgbAhTizoYe7yUBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABLwQoxHkBw9MkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkcDYEKMSdDT3eSwIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAJeCFCI8wKGp0mABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEjgbAhQiDsberyXBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABLwQoBDnBUxBPF2rVi0pV65cQRw6x0wCJEACJEACfiNA++g3tGyYBEiABEiABEiABEiABEiABEiABEiABEggCwJBaaZkUYeXSYAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAEskdgND3isgeMtUmABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEjAJwIU4nzCxEokQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkkD0CFOKyx4u1SYAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESMAnAhTifMLESiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQPQIU4rLHi7VJgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIwCcCFOJ8wsRKJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJEACJJA9AhTisscroGvHxMRIYmJiQI+RgyMBEiABEiCBvCZA+5jXxNkfCZAACZAACZAACZAACZAACZAACZAACZCAJUAhzpIoBNvo6GiJjY0tBE/CRyABEiABEiCB3CNA+5h7LNkSCZAACZAACZAACZAACZAACZAACZAACZBA9ghQiMseL9YmARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgAZ8IUIjzCRMrkQAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkAAJkED2CFCIyx4v1iYBEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABEiABnwhQiPMJEyuRAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQQPYIUIjLHi/WJgESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAESIAGfCFCI8wkTK5EACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZAACZBA9ggEpZmSvVsCp/bChQvl5MmTgTMgjiTPCdSsWVMaN26c5/2yQxIgARLICwKxsbGycuXKvOiKfZCAlClTRjp06CDBwcGkQQIkQAIkQAIkQAIkQAIkQAIkQAIkQAIkkDsERofkTjv510qNGjUkLCws/wbAnvONwMaNGyUmJkZCQkKkfv36+TYOdkwCJEAC/ibQtGlTiiP+hlzE29+9e7ccOXJEVq1aJW3btuXnrYh/Hvj4JEACJEACJEACJEACJEACJEACJEACuUegwAtx5cqVkypVquQeEbZUYAhERkZK5cqVZceOHTpminEF5q3jQEmABLJJIDw8XIoXL57Nu1idBHwnAO/L5ORkSUpKohjnOzbWJAESIAESIAESIAESIAESIAESIAESIIEsCTBHXJaIWCGQCZQvX17gKQIxLioqKpCHyrGRAAmQAAmQQEATQEjKdu3aucS4lJSUgB4vB0cCJEACJEACJEACJEACJEACJEACJEACBYEAhbiC8C5xjJkSqFatGsW4TAnxIgmQAAmQAAn4RqBUqVIU43xDxVokQAIkQAIkQAIkQAIkQAIkQAIkQAIk4BMBCnE+YWKlQCdAMS7Q3yGOjwRIgARIoKAQoBhXUN4pjpMESIAESIAESIAESIAESIAESIAESKAgEKAQVxDeJY7RJwIU43zCxEokQAIkQAIkkCUBinFZImIFEiABEiABEiABEiABEiABEiABEiABEvCJAIU4nzCxUkEhQDGuoLxTHCcJkAAJkECgE6AYF+jvEMdHAiRAAiRAAiRAAiRAAiRAAiRAAiRQEAiEFIRBcowk4IlAaGiobN68WV+erm/fvl3KlSsnVapU8XSZ50iABEiABEiABE4RgL3cs2ePzJkzxyOTEydOyPr166VVq1Yer/MkCZAACZAACZAACZAACZAACZAACZAACZCAZwIU4jxz4dkCQKBp06Zy5MgRryPdtGmTnDx50ut1XiABEiABEiABEkgnUL16dSlevLikpqZ6RAKRLiUlxeM1niQBEiABEiABEiABEiABEiABEiABEiABEvBOgEKcdza8EuAEMGGYmbcbvOVYSIAESIAESIAEfCMQHh7utWJsbKwkJiZ6vc4LJEACJEACJEACJEACJEACJEACJEACJEACngkwR5xnLn45e+zYsSzbzclq86NHj2bZLiuQAAmQAAmQgL8JIHyhN48qZ985sXW+2FBnH9ndzytbmpycnN2h+Vw/r57B5wGxIgmQAAmQAAmQAAmQAAmQAAmQAAmQAAmQgNAjLg8+BIsWLZKbb75Z7rvvPrnnnns89njo0CF5/PHHNdTijz/+6LGO+8ndu3fLo48+Krt27ZJZs2a5Xz6r41tuuUU2bNggbdq0kaioKA1H1aRJE1m1apXUrl1bfvjhB8Gk6EsvvaTbsLAwwXgaN24sw4cPl+DgYNmyZYu8+uqrsnTpUunRo4d6r5UsWVLq1q0rF198sVSuXDnDGH/++Wf59ddfpX79+pKUlCT79u2Tl19+WapVq5ahHg9IgARIgAQCiwDCAI8ZM0aeeOIJ2bp1q1StWtXjAFesWCF33HGH2sMbb7zRYx33k77YUPd7snMMUfDZZ58VeIN9/vnngjHC49of5c0331SbCBuam8Wfvwdyc5xsiwRIgARIgARIgARIgARIgARIgARIgASKIgF6xOXBu37uuedKo0aNJC0tzWtvlSpVkrZt2wq8CXwtNWrUkIsuusgn7wNf27T1kHtt9uzZOrGKCdXQ0FD58MMPZe7cuSqSYUV/r169pFy5cvL222/rJCauQ7y79tprtZmGDRvKJZdcImvWrJEXX3xRXnjhBXnkkUcEeWY6d+6sdW1/r7/+urz11lvax3PPPSevvPKKXHXVVcpk7969thq3JEACJEACAUgAwtWtt96aZejC9u3bS+nSpbP1BL7Y0Gw16FYZohgWiTz00EO6yCS3Rbhp06a5erz99ttl1KhRruPc2vHn74HcGiPbIQESIAESIAESIAESIAESIAESIAESIIGiSqDICnEQkhA+C8LX8ePHM7z/Vgxz5kKBiBYfH++qh+OEhAR9wXsLBSGhcA4F153thoSESFBQkF6zf7CC3d6Lc6hjS1xcnN3NsHUPO+W8J0PFszyAGFaiRIkzWoGnGwQ1iG87d+5UYc1WwvPBA+63336TiRMn6mkIdSjFiqV/1NAmxLhBgwZJz549Be/Dpk2bBP3B+61MmTJaH3/69esnmLSFhx0LCZAACZBA9glYe4b8Xu4F1+AN5rRV2HfaJXi6WVsHm2ltn73HGS4S9sG9oH3YCmdx2i1Ptg594uUsnmyo8/rZ7K9evVq9uNFG06ZN9XeBfVYwcvLA88BuYev8jWD7ByvLHOe+//57GTlypL0s5cuXP8Nb0P33ha1s20Gb7uE+s+Jq2+CWBEiABEiABEiABEiABEiABEiABEiABEgg/wkUSSHuu+++E6weh6A0ePBgadCggXz77beCCUGEj7zgggtkxIgRgnCLmLx855131EMLdc4//3xZuXKlTorZUFbWY2v8+PF6H97W1157TQYMGODxHYbX2P333y8bN25UsQkeY7YcPnxYvQrgMdayZUsNO4lrM2fOlAcffFBFqSFDhqjoZ+/xxxbeed4KwlVOmTJFOnbseIZYh3CT4InrmRWE6jxw4ICGAJsxY4ZOdJ5zzjln3NKlS5cs2zrjJp4gARIggSJOAOLNvffeK/heRQhjbLt166Z2Z926dRouGIsiLrzwQrniiivU1iF0Muwc7N8NN9ygQtPBgwd10QQ8lCFIQSDDNYSLRIG3GkJSeiqffPKJjB07VubPny+9e/fOICbB4/rqq6+WiIgItXn2fthOLOi47LLL1Pba8/7aTpo0SebMmSMLFiyQ9957TxeGIAzzZ599pnb2qaeeUo929I/wydWrV5fRo0druGmEad6xY4cODbzBE951d999t/z3v//VsM24Z/v27SrGYfENvO769+/vehxPvy8gwGEBCuwf2gEL/C6xJTOutg63JEACJEACJEACJEACJEACJEACJEACJEACgUOgSApxmPyDCIQ8ZRCMEBYReW2wUr179+4aMvGZZ55REWzJkiWCibqnn35a7rzzTrnmmmvkyiuv1AlF3Aexbtu2bfqOwmMO4h4KcuAgVKOnggnI5s2ba2hHTI5OnjzZVQ3C38cffyzr16/XnGpffPGFXoN4iDEiZCM8yH766SfXPfmxgzFgQtJTwfnNmzd7uuQ6B68DFPBF3YoVK0qpUqVc1+0O2oJAinxxLCRAAiRAAr4RgDcyhDeEGYa49e+//6onFuxLixYtNPcmFn4gv+jXX3+tYh3ODxs2TMMEw4sNdhDfwW+88Ybej5CN8Gpu1aqVCmsYCYS76667zuOg/vjjD11sgnDFEKMiIyNd9erUqSPIh4p8bN98843aNSxyQft33XWXekjD5mGM/ixYjINFL7DFWCADBnihlC1bVr234bGGAsESYiRyoX711Vdy2223qWCHaxgrhDPww+8FiJ0IwYnw0ch7ihywWADUoUMHl8fc9OnTPf6+gAc5FvIg/yvEUSzEwe8MvIcomXHVCvxDAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiQQUASKpBBn879gUgzl8ssv17xlmOSCIFSvXj2dgKtSpYqKZFY0Ql2sSt+6dasKZZgwRE4cTGxiog4iWnh4OKrp1nmfnjz1B4IeVrhj8hMi1P79+12XcQ/Ce2EiDuOCCPjPP//oJBzys+GFFfp2otB1Yx7vwBMAnhKeCs7XrVvX0yXXOSteYoISbUFscw9FhspoC5OZ8LRjIQESIAES8J0AbBS+OxHWETYFi0imTp2qDVSoUEEFKIQUht3CgpBmzZq5Goet+/PPP/UYXnMQpSAALV++XAUnWxEiFhaxeCpoE2ISFpIglKVzQYW1YbC3nTp1UluHMI6wo7BzUVFRaiNteEZP7efVOWdYafx+sPYIIiU83FHgCderVy/dh12zi2hwwnm/Mywn+Dh/Jzh/X6AeQjWDO0q1atXUmxH7mXHFdRYSIAESIAESIAESIAESIAESIAESIAESIIHAIlAkhTj3twCTlaGhobpq3f0aJi/hnWYLVsLjnJ1Yg+fbL7/8oiGrnKGjbH1PW3jhYXU8vAjsZKSnepigxNjgvYfJSIQGsy94JORnQYjOtWvXqgDpHAfyBWECFZ6FmRV4YUD0RFgz5IpD/ht4ELgXiKOoA+YsJEACJEACOSeARQ0QzjwVd1sHgcjaOWwRbhGLTiDkeQuVk1VBAAAX/UlEQVS77N4u7oE9gK2DjfVWnLauatWqLjsHewc7URAKbPWyZctcQ8XiHOtJZzm6Lp7acWfu/vvCvb499pWrrc8tCZAACZAACZAACZAACZAACZAACZAACZBA/hIo0upGcnKy0keuG+SvwepzTJxBFLJl4MCBGj7x6NGjegr53JADDaElURBeq2/fvvLmm2+qoKQnzR+s/F+9erU91HbtpBzChCE8FTzfkDPG2Z/rBrODvDo33nijjg1tff7555KSkqKhxiZMmKBVbZvO+3J7H+Kau1cCvPLABKHFnOXdd9/ViV6E7EJBGC8U5zjh7YCcRfCSQGhP5MNDOC+E3XTWQw49eGC8//772gb/kAAJkAAJZI+AtXO4CwsgEJrZFqftga3DdVsQJvLSSy+1hzJ06FC1SRCcYLtsQWjJQ4cO6aH9/sYWuVM/+ugjzasK+4EQk87+7P3Yog2EfRw0aJCGxcQxysKFC3XBB/bRpm0fx7lZ4I3t5AQPQeupDlvutH/OMcAe2wKxETYMC3cSExPVXqPNkiVLqjegrYd77H2Z/b5w9oN7wQ7nMuPqfo/tk1sSIAESIAESIAESIAESIAESIAESIAESIIH8JRD8vCn5O4Sc975jxw5dLZ/ZSntvrSOXG1ajI6zU2LFj5Z133tHV/2+//bbMmDFD2rRpo2G6GjZsqPU++eQTDb+FicVRo0ZpOEXbNkJYYhU/cszY8t577wlEqVtuuUWWLl2qk4sQriD4YXLu1VdfVbGuVq1ammMHobmaNGmiobggXkFoQ+iwBx98UMOKIfTXvffeq7l0tmzZoucx+YmxYBV+LxMSC23ldpk4caJ6QSC/D8JNtm7dWrvA5OKQIUM0dxDESUwOgtGePXs0JBfCaWGcyKMHQQ2TmghzBtYQFT/44ANXjiE0eMkll+h7gTbAadq0aZpjb9y4cdKuXbscPdbZfD5y1CFvIgESIIFcJgARCN+rWPThFMB86QZexgj3iPuQVzQhIUEXQcDTGLYOIYJht2C/4Jk8fvx4/a5GLjfUwfc3hDcU5PBE3jiEVoZtsgXecbClWFAxZswYzbuKkI2wSbNNPlR8hyMsJQoWYWDhCkQljAfnMY4RI0bo4pSIiAi95+GHH1ZRECEgIc6529Cc2Hw7Xvct8pRiDGDcvn17qVmzpi4QGT58uIbhhEcehEF4ocO7D16BeD54Fo4cOVLtGwTLrl27at44/KSC1zvyzaEebCEWk+BehJf87LPPZPHixSpQghHYuf++wH34/TBnzhzp06ePvifI04f3AoIlOLpzbdu2rQqf/vw9gN8cEC0xPhYSIAESIAESIAESIAESIAESIAESIAESIAGfCSwJMiuo03yuHmAVsVoeE3eYOMtuQagoCEWY0IOQllXBBCa816ww514f4poz9wuwYsLKTmK614fYZq+533vkyBEdl/ukKzzTUDc3JyHdx5WTY0ymYoIW4cVs/r2ctIN7wC06OloqVaqUYbI3J+2dzecjJ/3xHhIgARLIbQLImQbvtG7dumX7+xViF8SiefPmqXeyt1xuzjHHxMToohSbQ9V5DTbN/TseQiEWZngr1tbhux0vCE8o2IeXHL7r3QvCMeO8ret+PS+OYddgo+2YvYWXdB8Lngme3s5i2/L2PFn9vnC2Zfe9cbXX/bGFQAtvP4h+LCRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAj4TGB3ic9VCVNGGx8LWFxEOj16uXDlB/hZvxSnCoQ4m7azQ5uke5zX3e73lxEF+n0As8JRo1KhRrgwN3OrXr58rbbEREiABEijKBGDjsHgD39F4+VIyW9jiLsKhvcxEOFy3tg7f7XjZgn1PIhyuwxMuv4uvvNzH6S7C4XpWbWX1+8K9Dxx74+qpLs+RAAmQAAmQAAmQAAmQAAmQAAmQAAmQAAnkL4H0pen5O4Y87x251hBa6YsvvnDltsnzQbBDEiABEiABEvATAYQRRIhEeGhNmjTJT72wWRIgARIgARIgARIgARIgARIgARIgARIgARIggawIFEmPuFtvvVXwYiEBEiABEiCBwkgA3mbII8ZCAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiSQvwSKpEdc/iJn7yRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAiRAAkWBAIW4ovAu8xlJgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgARIgATynACFuDxEfuzYMb/3lpyc7Pc+2AEJkAAJkAAJeCJw4sQJSU1N9XQpV8/lla1z78f92P2hsrruXp/HJEACJEACJEACJEACJEACJEACJEACJEAChZ9AkcwRl9dv66JFi+Tmm2+W++67T+655x6/dR8VFSWtW7eWAwcOSKlSpc6qn1tuuUU2bNggbdq0EbSbkpIiTZo0kVWrVknt2rXlhx9+EAiLL730km7DwsJk9+7d0rhxYxk+fLgEBwfLli1b5NVXX5WlS5dKjx49pEqVKlKyZEmpW7euXHzxxVK5cuUMY/z555/l119/lfr160tSUpLs27dPXn75ZalWrVqGejwgARIgARIILAInT56UMWPGyBNPPCFbt26VqlWr+m2Ab775ptoV2CF/FnebmlW/3q4fOnRIevXqJTVr1pTmzZvLrFmzpGXLllKsWDH5999/9XfBsGHDaFP9+WaybRIgARIgARIgARIgARIgARIgARIgARLIRwIU4vIA/rnnniuNGjWStLS0XO8NIl+rVq0kNDRUIiIidHLybEU4DPLIkSMye/ZsKVGihNx4442SkJAgH374oQpyV111lWDVPyYWBw0apGIb7sHz3XHHHXLttdfKjz/+KA0bNpRLLrlEPv/8c5k5c6YKbxDY3nvvPencubNMmTJFmjVrhlvl9ddfl99//12mTZsmZcqU0XP/+9//pG3btir+UYxTJPxDAiRAAgFJoHjx4nLrrbfK/fff75fxwTb07dtX27799tvVzvilI0ej7jY1q369XYf9xGIU2FAULEh57LHH5LrrrpPly5frAhTaVAd47pIACZAACZAACZAACZAACZAACZAACZBAISNQZENTInwWSmxs7BlvKa7BA+z48eOua9iHiGQLVv9jcg0vhOGCCIV9e497GMqQkBAJCgqyt+vWvU3nxYMHDzoPdT8uLk4OHz7sOr99+3a55pprxD4L2ofXmntYMNznLgLi+TDxh21iYqKrTbvz3HPPqQhnj+0Wnm4vvPCCvP3227Jz50555JFH7CV9PnjA/fbbbzJx4kQ9X65cOd1i5T8KhD3cAwGvZ8+eOoZNmzYJ+oP3mxXhULdfv37Svn179bDDMQsJkAAJkED2CFj74G7r8N3v6fvf3V7AlsG2HT16VDuGHcSxDcHotHWwD56Ke5u2DvrHog/3Au9qp739/vvvZeTIka5q5cuXP8PjDjYuPj7eVcfu2Oe3ttqed24xDk/20N2muvfrztD9umWD8yNGjHB26drv0KGDXHHFFbSpLiLcIQESIAESIAESIAESIAESIAESIAESIIHCR6DICXGYjLv33nvlnHPOkUcffVS33bp1k40bN8q6det01TqEogsvvFAnxzB5iXCS3377rU6k3XDDDSpcQSiDkATvMEwYQpjDNXioocALDmG6PBVvbaLuihUrdHzwRkP7//zzjwprCG25evVqeeqpp2TUqFHaLOpADPvggw/02jfffCO1atWSPXv26PUlS5bI3XffLZMnT5ZLL71UPv74Yz2PEJDVq1eX0aNHa8hMhJrcsWOHXrN/4InmrSBcJbzZOnbseIZYh3CTDRo00Ove7sd5PA9CaOJ5Z8yYoQzxnriXLl26ZNmW+z08JgESIIGiTmD9+vVqhxBmGN+3+F6+7bbb1J58+eWXUq9ePbUdCCc8btw48WYvYNMqVaqkns1gun//funTp48uCsEiCohMOOepeGsTdceOHSsvvviiQGS76KKL1AYgHDI86mCPsRBjzZo1Gq4RNgsLTyDGQaR76KGHpH///q4u33nnHXnllVfUTp9//vmycuVKXaCCMMmwIf/973/lsssukwsuuMB1j93JzB46bSrCSzr7dWcIe+q8jvbt74CKFStqSGbbp/uWNtWdCI9JgARIgARIgARIgARIgARIgARIgARIoHARKHKhKeGhBeHtjz/+kNdee00n9rAaHSLVW2+9pfnI4HWGHC6YeINYB1EK+VtQEI7xmWee0bpvvPGGTnAiJBc8ARAisnfv3loPwl2dOnV03/2PtzbhTXb99der+Fa6dGkV/DChiElQjAmhreAxhknVhx9+WL3K0PYDDzwgFSpU0DCPCCOJAu8FPBfCXiFXD0J6IT8NcsjhPNrABOyDDz6oIbI+++wzef755/VeX/5gAhZhJz0ViHybN2/2dMl1rmnTprqPiVrkksNEpaeQmmgL3hTIF+fPnEOugXGHBEiABAoBAeQiw/cnwvrCtmHhA0ItQphDSERscQzxC55dsA2e7AXEq5tuusn1nQ4vrzvvvFNzfoaHh8u8efN03x1ZZjYI3mcINTlhwgS9bdmyZbJt2zbB4hKMG3YWoYmxiOTpp59WoQ6ec48//rjWhxcZbAfK9OnTZdKkSXovjvEsV155pT7XgAEDVJzDYhqEgkT+UeRkQ342WzKzh/A4tzYVdtjZrztDhJtESGY7LrSf2e8A27/d0qZaEtySAAmQAAmQAAmQAAmQAAmQAAmQAAmQQOEjUOQ84vAWIjwiPLcQLhIhEzFpN3XqVH13IWhhkg4hqTDJiIlAm8cMFTAp+eeff2pdeM2VLVtWRT1MYGLlvS1oA54Cnoq3Nv/++28VmyDCofznP/9RARCTh5iw/Omnn9R7zN37wIa8xPOg4BgTm5gIteIVJmNbtGjh8i6DeAgGKJisxWRsdgq86DyFz0QbOF+3bt1Mm8OkKwqeDW1BbINXoXtBW+Bhx+p+ncckQAIkQAKeCcDW4fsdBd+hsF+wdfj+x6IO2ATYKXieZWYvIGR99dVX6p2GsMNDhgzRNmE/PXky42JmNuiHH34QeK7ZAu84LAyBwAfPta+//lqFP6ets3YO91hbh33YU7uwA8d4xq1btwo8AlEPzwk7jQI7CG879+LNHtp+bN/2GPe7M4QQ57yOOpn9DsB1Z6FNddLgPgmQAAmQAAmQAAmQAAmQAAmQAAmQAAkULgJFUohzfwsh9DhXyDuvY6IRE3q2YMLPTsphi9CP8KbD5CZW3/tSvLWJSdNVq1ZlEKSQ7w2TkRdffLEKfdi6Fzse53mcgxfd3r17XaedY3edzOEOJlHXrl17Ru45eEtERUVJ9+7dM20ZHofwgkPoLoTgxHMiNKh7gfcC6oAZCwmQAAmQQM4JwNbBc9u9ZGUv4BWO++DhBY8zu1jEvR3ncWZtwtYtXbrUWV1tAEIew+sN3mYQCZ3Fk53DdXd7CkEP57zVd7YZSPu0qYH0bnAsJEACJEACJEACJEACJEACJEACJEACJJC7BIqsuoHQWLZAFLr66qvtoU4I2oOBAwdqmEp7jFCRyLdmy9ChQ2X+/PnqZYfwlLYg9xlCW9qSlpbmEq28tQnBCeLUk08+KfHx8RIdHS3IX4McOvBWgJcZ8r9hIhQFk5kox48f1619JmyRvw2hKGebUF+2IMcc+kbBeGyx7dlj9y3EtRMnTmQ4jVx1GBNCcTnLu+++q6ImchGhIH8eirO/uXPnasjP7777TsLCwqRz587q+YccP8568FxACNH3339f2+AfEiABEiCB7BGwdgHfrYsXL3aFFMax/b7Nyl6gR3jFIX8qPNZswQIK2BjbjnObWZsQ2hBOEvYNbWAhC7yyES4a4R9hS5ELDtdQ4G1m7RyOYbOs3YJNQzhI2CMUePchHx5CXNrx6AXzB+25n8M15znbLs5bdnbr7Nfe536v83733wG4B57fqGNtI86h0Kamc+BfEiABEiABEiABEiABEiABEiABEiABEiiMBIJNXrDnC+qD7dixQ4Wr0NDQbD0CPK8gbmGyD+EeExISVBiC99Xbb7+tuWoQbgthHeGtNX78ePVKi4yM1Pwyr7/+uksEQ16znTt3akgthLW0Bd5xWJXftWtXXfmPHD2YKEQOuf79+3tsE5ONyCv37LPPak4fPB/y2iB0GMYFDwJchziF0qtXL4Ew+OWXX+rEI3Lu4FqVKlXkvPPO01x4L730ktSoUUPGjRunfSMM54wZM9SLDyHL4Ak4cuRIDdcFgRFCoLMgDBk8/rZv365CIPIIoWCsCE+GPHmY+ITn3SeffKJC4RdffKGhwJD7DawgqMGrDyE9EYIMguAHH3zgyqeH9pBvDhOxaAOc8Cwffvihjrtdu3aoku2S089HtjviDSRAAiTgJwJYBIEFGPjudy728KU72Dd8P6ONF154Qe6//37p1KmTYBEEbCDCK8JGwYbC5nmyF7YfeFQjBPN9991nT2n4SORcvcnkkEMbY8aM0fDHsC3wisY1T23WqlVLc4Ni0QnsCxZj9OvXT724kSsVOUFRBx54GC+847AgA97WCC+JnKYQFeFFBjsIWwvbAVv50UcfyahRozQkJxaGzJkzR/r06aM2CPYKC1jgWW7DSHqzh7BJ4GdtKsIojx492tUvcuM5GSKHHfqz48L75fwdAGio8+abb+riHiy2gf3FghmUgmBTsbgIQqINd6oD5x8SIAESIAESIAESIAESIAESIAESIAESIIGsCCwJMqu5T7tGZVU9wK4vXLhQIiIiXBNZvg4Pk2sQnzCRhlXp3nK5OduLiYnRUFcQtdwLJqYwoeksmPjExFpmxVubWC2fmJiYYVzoAxOHCLeF1fl2EhHtQ7hCHhxPBW0hXw4m+2yeHE/1zuYcPBUgRtarV+8MDtltFx/HaOMJWKlSJXEKm9ltB/Vz+vnISV+8hwRIgAT8QSA2NlYXXEDUcrczWfWHxRLwTIOHMoQyp93wdG9W9iInti6zNrEIBnbS+Vywydbb22nrYGdwHqKbp4K24EXXsGFDr3U83ff/7d1BisIwFABQBwYXouAhBMGdZ/UwnkB3nsC7OOMXKqW000Knpb++gIwTa/Lzsoj0t+mQdV1+B9T1P9U1NS5Git8msVWpQoAAAQIECBAgQIAAAQIECBAg0Fng9N350BkdGNtTxQm+uJstXl1KcdV63bHlk4jF521JuDiuqc2466GaHCz3UT2Z2pSEiz6irXhmzpAlDHe73b90EYnGuPNAIUCAAIF+ApEEi7UutgDuUtrWi/I6VLTXttb91eZ6vS6aef8tknBRUV7r2tbqaGvote4dZMc3bTZNzVhTm2TUEyBAgAABAgQIECBAgAABAgRyCtRfWp5zLJ2ijq2VzufzawuseEaNQoAAAQIE5iYQzyeLrRwvl8trO+C5jc94CBAgQIAAAQIECBAgQIAAAQIECGQR+Lg74mLLw3hemkKAAAECBOYqcDweF7fbba7DMy4CBAgQIECAAAECBAgQIECAAAECaQQ+7o64NDMjUAIECBAgQIAAAQIECBAgQIAAAQIECBAgQIAAgdQCEnGpp0/wBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECUxWQiJvqzIiLAAECBAgQIECAAAECBAgQIECAAAECBAgQIEAgtYBEXOrpEzwBAgQIECBAgAABAgQIECBAgAABAgQIECBAgMBUBSTipjoz4iJAgAABAgQIECBAgAABAgQIECBAgAABAgQIEEgtIBGXevoET4AAAQIECBAgQIAAAQIECBAgQIAAAQIECBAgMFUBibipzoy4CBAgQIAAAQIECBAgQIAAAQIECBAgQIAAAQIEUgt8p47+Gfz9fn+9so9D/AQIECBAoEnger02faSewGgC2+12tL50RIAAAQIECBAgQIAAAQIECBCYi0DqRNx+v188Ho+5zIVxDCCw2WwGaFWTBAgQGEdgtVotDofDOJ3phUCLwHK5bDnCxwQIECBAgAABAgQIECBAgAABAlWBr59nqVb6nwABAgQIECBAgAABAgQIECBAgAABAgQIECBAgACBXgInz4jr5efLBAgQIECAAAECBAgQIECAAAECBAgQIECAAAECBOoFJOLqXdQSIECAAAECBAgQIECAAAECBAgQIECAAAECBAgQ6CUgEdeLz5cJECBAgAABAgQIECBAgAABAgQIECBAgAABAgQI1Av8AmlT9R/Z3TWjAAAAAElFTkSuQmCC\n",
       "text/plain": [
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       ]

From 39a2610049d4fdbaed872c6d60f1eb4c44e23508 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Thu, 10 Sep 2020 15:46:48 +0200
Subject: [PATCH 063/137] [ADD] code of conduct

---
 README.md          |  30 ++++++-----
 code_of_conduct.md | 127 +++++++++++++++++++++++++++++++++++++++++++++
 2 files changed, 145 insertions(+), 12 deletions(-)
 create mode 100644 code_of_conduct.md

diff --git a/README.md b/README.md
index bce4b7aa3..69ccdaec5 100644
--- a/README.md
+++ b/README.md
@@ -1,32 +1,34 @@
 # BIDS Extension Proposal 028: Provenance in BIDS (BEP028)
+
 This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
 ## Our goal
+
 **Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
 
 ## Who is building BEP 028
-Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Satrajit Ghosh ([@satra](https://github.com/satra)) are the BEP co-moderators. 
+
+Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Satrajit Ghosh ([@satra](https://github.com/satra)) are the BEP co-moderators.
 
 Rémi Adon ([@remiadon](https://github.com/remiadon)) is currently working on the definition of this BEP, as well as providing real-world examples.
 
 ### BIDS-prov in the NIDM project
+
 The Neuroimaging Data Model (NIDM) is a collection of specification documents that define extensions the `W3C PROV` standard for the domain of human brain mapping
 
 <p align="center">
   <img width="50%" src="img/nidm-layer-cake.png">
 </p>
 
-
 BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
 
-
 ## How to help
+
 [Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
 
 For this purpose we have to **propose changes to the BIDS specification**
 
-
-The BIDS specification is *rendered* as a webpage at https://bids-specification.readthedocs.io.
+The BIDS specification is _rendered_ as a webpage at https://bids-specification.readthedocs.io.
 
 The website is built from a GitHub repository that consists of mostly markdown files at https://github.com/bids-standard/bids-specification.
 If you don't know much about markdown, here's a [good intro guide](https://guides.github.com/features/mastering-markdown/)
@@ -40,7 +42,7 @@ We would be able to see how our proposed changes affected the current version of
 
 However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
 
-Each conceptual update to the specification should have a *``proposal file``*.
+Each conceptual update to the specification should have a _`proposal file`_.
 This file should explain what change it is proposing and provide a justification for the change.
 
 Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP028 repository (this one).
@@ -49,21 +51,25 @@ If everyone agrees on the proposal, the file will be merged to master.
 (There will then be some wrangling to make the one big pull request to the bids-specification.
 We'll cross that bridge when we come to it! :sparkles:)
 
-
 ## Finding information and getting in touch
 
 ### Google doc
-The BEP028 started as a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
 
+The BEP028 started as a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
 
 ### NIDM weekly calls
-We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.  
 
----------------
+We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.
+
+---
+
 ## Additional resources
+
 Mature building blocks of NIDM:
-* [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
-* [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
+- [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
+- [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
 [New features (to be included)](new_features.md)
+
+We also include a [code of conduct](code_of_conduct.md)
diff --git a/code_of_conduct.md b/code_of_conduct.md
new file mode 100644
index 000000000..7354b4b9a
--- /dev/null
+++ b/code_of_conduct.md
@@ -0,0 +1,127 @@
+# Contributor Covenant Code of Conduct
+
+## Our Pledge
+
+We as members, contributors, and leaders pledge to make participation in our
+community a harassment-free experience for everyone, regardless of age, body
+size, visible or invisible disability, ethnicity, sex characteristics, gender
+identity and expression, level of experience, education, socio-economic status,
+nationality, personal appearance, race, religion, or sexual identity
+and orientation.
+
+We pledge to act and interact in ways that contribute to an open, welcoming,
+diverse, inclusive, and healthy community.
+
+## Our Standards
+
+Examples of behavior that contributes to a positive environment for our
+community include:
+
+- Demonstrating empathy and kindness toward other people
+- Being respectful of differing opinions, viewpoints, and experiences
+- Giving and gracefully accepting constructive feedback
+- Accepting responsibility and apologizing to those affected by our mistakes,
+  and learning from the experience
+- Focusing on what is best not just for us as individuals, but for the
+  overall community
+
+Examples of unacceptable behavior include:
+
+- The use of sexualized language or imagery, and sexual attention or
+  advances of any kind
+- Trolling, insulting or derogatory comments, and personal or political attacks
+- Public or private harassment
+- Publishing others' private information, such as a physical or email
+  address, without their explicit permission
+- Other conduct which could reasonably be considered inappropriate in a
+  professional setting
+
+## Enforcement Responsibilities
+
+Community leaders are responsible for clarifying and enforcing our standards of
+acceptable behavior and will take appropriate and fair corrective action in
+response to any behavior that they deem inappropriate, threatening, offensive,
+or harmful.
+
+Community leaders have the right and responsibility to remove, edit, or reject
+comments, commits, code, wiki edits, issues, and other contributions that are
+not aligned to this Code of Conduct, and will communicate reasons for moderation
+decisions when appropriate.
+
+## Scope
+
+This Code of Conduct applies within all community spaces, and also applies when
+an individual is officially representing the community in public spaces.
+Examples of representing our community include using an official e-mail address,
+posting via an official social media account, or acting as an appointed
+representative at an online or offline event.
+
+## Enforcement
+
+Instances of abusive, harassing, or otherwise unacceptable behavior may be
+reported to the community leaders responsible for enforcement at <a href='mailto:camille.maumet@inria,remi.adon@inria.fr'>these email addresses</a>.
+All complaints will be reviewed and investigated promptly and fairly.
+
+All community leaders are obligated to respect the privacy and security of the
+reporter of any incident.
+
+## Enforcement Guidelines
+
+Community leaders will follow these Community Impact Guidelines in determining
+the consequences for any action they deem in violation of this Code of Conduct:
+
+### 1. Correction
+
+**Community Impact**: Use of inappropriate language or other behavior deemed
+unprofessional or unwelcome in the community.
+
+**Consequence**: A private, written warning from community leaders, providing
+clarity around the nature of the violation and an explanation of why the
+behavior was inappropriate. A public apology may be requested.
+
+### 2. Warning
+
+**Community Impact**: A violation through a single incident or series
+of actions.
+
+**Consequence**: A warning with consequences for continued behavior. No
+interaction with the people involved, including unsolicited interaction with
+those enforcing the Code of Conduct, for a specified period of time. This
+includes avoiding interactions in community spaces as well as external channels
+like social media. Violating these terms may lead to a temporary or
+permanent ban.
+
+### 3. Temporary Ban
+
+**Community Impact**: A serious violation of community standards, including
+sustained inappropriate behavior.
+
+**Consequence**: A temporary ban from any sort of interaction or public
+communication with the community for a specified period of time. No public or
+private interaction with the people involved, including unsolicited interaction
+with those enforcing the Code of Conduct, is allowed during this period.
+Violating these terms may lead to a permanent ban.
+
+### 4. Permanent Ban
+
+**Community Impact**: Demonstrating a pattern of violation of community
+standards, including sustained inappropriate behavior, harassment of an
+individual, or aggression toward or disparagement of classes of individuals.
+
+**Consequence**: A permanent ban from any sort of public interaction within
+the community.
+
+## Attribution
+
+This Code of Conduct is adapted from the [Contributor Covenant][homepage],
+version 2.0, available at
+https://www.contributor-covenant.org/version/2/0/code_of_conduct.html.
+
+Community Impact Guidelines were inspired by [Mozilla's code of conduct
+enforcement ladder](https://github.com/mozilla/diversity).
+
+[homepage]: https://www.contributor-covenant.org
+
+For answers to common questions about this code of conduct, see the FAQ at
+https://www.contributor-covenant.org/faq. Translations are available at
+https://www.contributor-covenant.org/translations.

From 545abf3c5268d7d53fb791e240cd4a23434877bd Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Thu, 10 Sep 2020 16:15:24 +0200
Subject: [PATCH 064/137] [ADD] contributors in README

---
 README.md | 34 ++++++++++++++++++++++++----------
 1 file changed, 24 insertions(+), 10 deletions(-)

diff --git a/README.md b/README.md
index 69ccdaec5..b2cc47c02 100644
--- a/README.md
+++ b/README.md
@@ -2,15 +2,24 @@
 
 This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
+---
+
 ## Our goal
 
 **Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
 
-## Who is building BEP 028
+### Who is building BEP 028
 
 Camille Maumet ([@cmaumet](https://github.com/cmaumet)) and Satrajit Ghosh ([@satra](https://github.com/satra)) are the BEP co-moderators.
 
-Rémi Adon ([@remiadon](https://github.com/remiadon)) is currently working on the definition of this BEP, as well as providing real-world examples.
+List of all contributors
+
+- Camille Maumet ([@cmaumet](https://github.com/cmaumet))
+- Satrajit Ghosh ([@satra](https://github.com/satra))
+- Stefan Appelhoff ([@sappelhoff](https://github.com/sappelhoff))
+- Chris Markiewicz ([@effigies](https://github.com/effigies))
+- Yaroslav Halchenko ([yarikoptic](https://github.com/yarikoptic))
+- Rémi Adon ([@remiadon](https://github.com/remiadon))
 
 ### BIDS-prov in the NIDM project
 
@@ -20,11 +29,13 @@ The Neuroimaging Data Model (NIDM) is a collection of specification documents th
   <img width="50%" src="img/nidm-layer-cake.png">
 </p>
 
-BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between Agents, Entities and Activites, as defined in the W3C documentation.
+BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between [Agents, Entities and Activites, as defined in the W3C documentation](https://www.w3.org/TR/prov-dm/#core-structures).
+
+---
 
 ## How to help
 
-[Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
+[Our goal](#our-goal) is to extend [BIDS](https://bids.neuroimaging.io/) to be able to track provenance at every stage of an experiment.
 
 For this purpose we have to **propose changes to the BIDS specification**
 
@@ -35,12 +46,7 @@ If you don't know much about markdown, here's a [good intro guide](https://guide
 
 The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
 
-### Avoiding great big pull requests
-
-We could do all our work in a branch of the main [bids-specification](https://github.com/bids-standard/bids-specification) repository.
-We would be able to see how our proposed changes affected the current version of the specification by opening a [pull request](https://help.github.com/articles/about-pull-requests/).
-
-However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
+### Pull requests
 
 Each conceptual update to the specification should have a _`proposal file`_.
 This file should explain what change it is proposing and provide a justification for the change.
@@ -51,6 +57,8 @@ If everyone agrees on the proposal, the file will be merged to master.
 (There will then be some wrangling to make the one big pull request to the bids-specification.
 We'll cross that bridge when we come to it! :sparkles:)
 
+---
+
 ## Finding information and getting in touch
 
 ### Google doc
@@ -73,3 +81,9 @@ Mature building blocks of NIDM:
 [New features (to be included)](new_features.md)
 
 We also include a [code of conduct](code_of_conduct.md)
+
+---
+
+---
+
+_This document is derived from the [BEP001 README](https://github.com/bids-standard/bep001/blob/master/README.md)_

From 68a9d914328941868d8444a50af7152cfcb299da Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Fri, 11 Sep 2020 14:59:05 +0200
Subject: [PATCH 065/137] update contributors

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index b2cc47c02..22cb606e0 100644
--- a/README.md
+++ b/README.md
@@ -19,6 +19,7 @@ List of all contributors
 - Stefan Appelhoff ([@sappelhoff](https://github.com/sappelhoff))
 - Chris Markiewicz ([@effigies](https://github.com/effigies))
 - Yaroslav Halchenko ([yarikoptic](https://github.com/yarikoptic))
+- Jean-Baptiste Poline ([jbpoline](https://github.com/jbpoline))
 - Rémi Adon ([@remiadon](https://github.com/remiadon))
 
 ### BIDS-prov in the NIDM project

From e5bb5310c1eca478b0324914e1c0796a29c9761a Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 08:58:26 +0200
Subject: [PATCH 066/137] Typo

---
 README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 22cb606e0..f66f92f7f 100644
--- a/README.md
+++ b/README.md
@@ -18,8 +18,8 @@ List of all contributors
 - Satrajit Ghosh ([@satra](https://github.com/satra))
 - Stefan Appelhoff ([@sappelhoff](https://github.com/sappelhoff))
 - Chris Markiewicz ([@effigies](https://github.com/effigies))
-- Yaroslav Halchenko ([yarikoptic](https://github.com/yarikoptic))
-- Jean-Baptiste Poline ([jbpoline](https://github.com/jbpoline))
+- Yaroslav Halchenko ([@yarikoptic](https://github.com/yarikoptic))
+- Jean-Baptiste Poline ([@jbpoline](https://github.com/jbpoline))
 - Rémi Adon ([@remiadon](https://github.com/remiadon))
 
 ### BIDS-prov in the NIDM project

From 4dce4c3438718b713f3953609d838fa8b3c9d307 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 08:59:51 +0200
Subject: [PATCH 067/137] Update info NIDM

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index f66f92f7f..1561ec955 100644
--- a/README.md
+++ b/README.md
@@ -30,7 +30,7 @@ The Neuroimaging Data Model (NIDM) is a collection of specification documents th
   <img width="50%" src="img/nidm-layer-cake.png">
 </p>
 
-BIDS-prov takes effect at level 1 in the set of layers presented above. It follows semantics web practices (level 0) to allow for expression of arbitrary interactions between [Agents, Entities and Activites, as defined in the W3C documentation](https://www.w3.org/TR/prov-dm/#core-structures).
+BIDS-prov is a BIDS extension that is compatible with NIDM.
 
 ---
 

From c63c47733b038649f6410783a1c40d458af644f3 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:01:26 +0200
Subject: [PATCH 068/137] Update credits

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1561ec955..61bc34357 100644
--- a/README.md
+++ b/README.md
@@ -87,4 +87,4 @@ We also include a [code of conduct](code_of_conduct.md)
 
 ---
 
-_This document is derived from the [BEP001 README](https://github.com/bids-standard/bep001/blob/master/README.md)_
+_Credits: This README was build based on the [BEP001 README](https://github.com/bids-standard/bep001/blob/master/README.md)._

From 6aa5fea529928183f490d6c4b4934d8d35b7dedd Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:02:44 +0200
Subject: [PATCH 069/137] Update CoC info

---
 README.md | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 61bc34357..ffd2fd7e4 100644
--- a/README.md
+++ b/README.md
@@ -81,7 +81,9 @@ Mature building blocks of NIDM:
 
 [New features (to be included)](new_features.md)
 
-We also include a [code of conduct](code_of_conduct.md)
+
+## Code of conduct
+We are committed to building a welcoming and harrasement free experience for all our contributors. As a contributor to the BIDS-Prov specification, we ask you to follow our [code of conduct](code_of_conduct.md)
 
 ---
 

From 63de9cf6a177c2b8953813c7183d35baffda0882 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:13:02 +0200
Subject: [PATCH 070/137] Update template

---
 spec_update_issue_template.md | 5 +----
 1 file changed, 1 insertion(+), 4 deletions(-)

diff --git a/spec_update_issue_template.md b/spec_update_issue_template.md
index 71aa9d072..fd8aaf6aa 100644
--- a/spec_update_issue_template.md
+++ b/spec_update_issue_template.md
@@ -15,8 +15,5 @@ How would this example turn if we `apply the proposed change` ?
 
 -------------
 ### Checklist 
-- [ ] link to the google doc of the proposal
-- [ ] make sure the google doc follows the [BIDS proposale template](https://docs.google.com/document/d/1W7--Mf3gCCb1mVfhsoRJCAKFhmf2umG1PFkyZ1jEgMw/edit#heading=h.4k1noo90gelw)
-- [ ] list of all authors for this proposal
-- [ ] links to related [issues](https://github.com/bids-standard/bids-specification/issues) and [PRs](https://github.com/bids-standard/bids-specification/pulls) in bids-specification
+- [ ] links to related existing [issues](https://github.com/bids-standard/BEP028_BIDSprov/issues) and/or [PR](https://github.com/bids-standard/BEP028_BIDSprov/pulls)
 

From bd5dca92a4eb2cda9cafe0b652d68f115e9acc62 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:14:04 +0200
Subject: [PATCH 071/137] Update template

---
 spec_update_issue_template.md | 16 +++++++---------
 1 file changed, 7 insertions(+), 9 deletions(-)

diff --git a/spec_update_issue_template.md b/spec_update_issue_template.md
index fd8aaf6aa..57077e2ca 100644
--- a/spec_update_issue_template.md
+++ b/spec_update_issue_template.md
@@ -1,17 +1,15 @@
-## Issue template for proposal to BIDS
---------------
+## Update proposal for BIDS Prov (BEP028)
+
 ### Problem Statement
-What type of enhancement ? Is it a `new feature or a modification` ?
-What `limitation in the current spec` does this underline ?
+*What type of enhancement ? Is it a `new feature or a modification` ?
+What `limitation in the current spec` does this underline ?*
 
---------------
 ### Rationale
-What `solution` do you propose ? How does that relate to the original problem ?
+*What `solution` do you propose ? How does that relate to the original problem ?*
 
---------------
 ### Minimal example
-Provide a minimal example with the current spec.
-How would this example turn if we `apply the proposed change` ?
+*Provide a minimal example with the current spec.
+How would this example turn if we `apply the proposed change` ?*
 
 -------------
 ### Checklist 

From 7aefdaebb67209ff4fb466adc251b5d874e51a49 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:14:18 +0200
Subject: [PATCH 072/137] Update

---
 spec_update_issue_template.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/spec_update_issue_template.md b/spec_update_issue_template.md
index 57077e2ca..4a11dee53 100644
--- a/spec_update_issue_template.md
+++ b/spec_update_issue_template.md
@@ -11,7 +11,6 @@ What `limitation in the current spec` does this underline ?*
 *Provide a minimal example with the current spec.
 How would this example turn if we `apply the proposed change` ?*
 
--------------
 ### Checklist 
 - [ ] links to related existing [issues](https://github.com/bids-standard/BEP028_BIDSprov/issues) and/or [PR](https://github.com/bids-standard/BEP028_BIDSprov/pulls)
 

From 77457319b3aa4a9050f72a41f1e610aecfd1051d Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:30:16 +0200
Subject: [PATCH 073/137] Move issue template to corresponding folder

---
 .../spec_update_issue_template.md                                 | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename spec_update_issue_template.md => ISSUE_TEMPLATE/spec_update_issue_template.md (100%)

diff --git a/spec_update_issue_template.md b/ISSUE_TEMPLATE/spec_update_issue_template.md
similarity index 100%
rename from spec_update_issue_template.md
rename to ISSUE_TEMPLATE/spec_update_issue_template.md

From f236cd7d34401d5077d9eab70427c2ab34f2a7b0 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Tue, 15 Sep 2020 09:31:01 +0200
Subject: [PATCH 074/137] Move to issue template folder

---
 .../ISSUE_TEMPLATE}/spec_update_issue_template.md                 | 0
 1 file changed, 0 insertions(+), 0 deletions(-)
 rename {ISSUE_TEMPLATE => .github/ISSUE_TEMPLATE}/spec_update_issue_template.md (100%)

diff --git a/ISSUE_TEMPLATE/spec_update_issue_template.md b/.github/ISSUE_TEMPLATE/spec_update_issue_template.md
similarity index 100%
rename from ISSUE_TEMPLATE/spec_update_issue_template.md
rename to .github/ISSUE_TEMPLATE/spec_update_issue_template.md

From 57c49fff741d68529dbb75adaa0e5f528928aa72 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Tue, 15 Sep 2020 14:53:38 +0200
Subject: [PATCH 075/137] Create spec_update.md

---
 .github/ISSUE_TEMPLATE/spec_update.md | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)
 create mode 100644 .github/ISSUE_TEMPLATE/spec_update.md

diff --git a/.github/ISSUE_TEMPLATE/spec_update.md b/.github/ISSUE_TEMPLATE/spec_update.md
new file mode 100644
index 000000000..4a11dee53
--- /dev/null
+++ b/.github/ISSUE_TEMPLATE/spec_update.md
@@ -0,0 +1,16 @@
+## Update proposal for BIDS Prov (BEP028)
+
+### Problem Statement
+*What type of enhancement ? Is it a `new feature or a modification` ?
+What `limitation in the current spec` does this underline ?*
+
+### Rationale
+*What `solution` do you propose ? How does that relate to the original problem ?*
+
+### Minimal example
+*Provide a minimal example with the current spec.
+How would this example turn if we `apply the proposed change` ?*
+
+### Checklist 
+- [ ] links to related existing [issues](https://github.com/bids-standard/BEP028_BIDSprov/issues) and/or [PR](https://github.com/bids-standard/BEP028_BIDSprov/pulls)
+

From 4edf6e30d01087b703296bfd583f74b76045e97b Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 15 Sep 2020 15:59:51 +0200
Subject: [PATCH 076/137] create context for JSON-LD 1.0 with all elements of
 JSON-LD 1.1 context

---
 examples/fsl_default/test_diplay_graphs.ipynb | 36 ++++++++-----------
 1 file changed, 14 insertions(+), 22 deletions(-)

diff --git a/examples/fsl_default/test_diplay_graphs.ipynb b/examples/fsl_default/test_diplay_graphs.ipynb
index ffd6f3455..14decf6b8 100644
--- a/examples/fsl_default/test_diplay_graphs.ipynb
+++ b/examples/fsl_default/test_diplay_graphs.ipynb
@@ -16,12 +16,13 @@
     "from prov.model import ProvDocument\n",
     "from prov.dot import prov_to_dot\n",
     "from IPython.display import Image, display\n",
+    "import requests\n",
     "import os"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -59,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -90,12 +91,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -106,19 +107,17 @@
    ],
    "source": [
     "def viz_jsonld11(jsonld11_file, img_file, disp=True):\n",
-    "    \n",
-    "    minimal_context = {\n",
-    "      \"@context\": {\n",
-    "        \"prov\": \"http://www.w3.org/ns/prov#\", \n",
-    "        \"nidm\": \"http://purl.org/nidash/nidm#\", \n",
-    "        \"niiri\": \"http://iri.nidash.org/\"\n",
-    "      }\n",
-    "    }\n",
+    "    url_context11 = json.load(open(jsonld11_file))\n",
+    "\n",
+    "    req_context_11 = requests.get(url=url_context11['@context'])\n",
+    "    context_11 = req_context_11.json()\n",
+    "\n",
+    "    context_10 = {k: v for k,v in context_11['@context'].items() if k not in {'@version', 'records'}}\n",
     "\n",
     "    # Load graph from json-ld file as non 1.1 JSON-LD \n",
     "    aa=ld.jsonld.compact(\n",
     "        json.load(open(jsonld11_file, 'r')), \n",
-    "        minimal_context)\n",
+    "        context_10)\n",
     "\n",
     "    g = rl.ConjunctiveGraph()\n",
     "    g.parse(data=json.dumps(aa, indent=2), format='json-ld')\n",
@@ -130,19 +129,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 51,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]

From c611ee9a86da70c85c35c8fa913331b64368da79 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 15 Sep 2020 16:11:09 +0200
Subject: [PATCH 077/137] scr @id to RRID

---
 examples/fsl_default/default.json             | 219 +++++++++---------
 .../viz_examples/jsonld11_example.jsonld      |  16 ++
 2 files changed, 124 insertions(+), 111 deletions(-)
 create mode 100644 examples/fsl_default/viz_examples/jsonld11_example.jsonld

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index b3ea18239..cea23b632 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -1,115 +1,112 @@
 {
   "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "records": {
-      "prov:Agent" : [
-        {
-          "@id" : "scr:SCR_001847",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
-          "label" : "FSL" 
-        }
-      ],
-      "prov:Activity" : [
-        {
-          "@id" : "niiri:sqlspspsppsp20202",
-          "label" : "mcflirt",
-          "wasAssociatedWith" : "scr:SCR_001847", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
-        },
-        {
-          "@id" : "niiri:qndjnqndnfsdnfnsdf_registration",
-          "label" : "registration",
-          "wasAssociatedWith" : "scr:SCR_001847", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "niiri:ksdqndns100201"
-        },
-        {
-          "@id" : "niiri:fsqjklnfqljnfnfnnf_unwarp",
-          "label" : "unwarp",
-          "wasAssociatedWith" : "scr:SCR_001847", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "niiri:ksdqndns100201"
-        },
-        {
-          "@id" : "niiri:fsqjklnfqljnfnfnnf_prestats",
-          "label" : "prestats",
-          "wasAssociatedWith" : "scr:SCR_001847", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : "niiri:vbvbbvbv_undistorted_func"
-        },
-        {
-          "@id" : "niiri:fsqjklnfqljnfnfnnf_stats",
-          "label" : "stats",
-          "wasAssociatedWith" : "scr:SCR_001847", 
-          "startedAtTime" : "2019-10-10T10:00:00",
-          "endedAtTime" : "2019-10-10T10:00:00",
-          "used" : [
-            "niiri:prestats_output_TODO",
-            "niiri:dfsjnsqkdfnjsn_contrasts"
-          ]
-        }
-      ],
-      "prov:Entity" : [
-        {
-          "@id" : "niiri:dskjn1902",
-          "label" : "functional",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_001847"
-        },
-        {
-          "@id" : "niiri:ksdqndns100201",
-          "label" : "Aligned functional",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_001847",
-          "wasGeneratedBy" : "niiri:sqlspspsppsp20202"
-        },
-        {
-          "@id" : "niiri:rezoiurozeiuriozuro",
-          "label" : "Transformation files",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_00184",
-          "wasGeneratedBy" : "niiri:qndjnqndnfsdnfnsdf_registration"
-        },
-        {
-          "@id" : "niiri:dfsjnsqkdfnjsn_copes",
-          "label" : "copes",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_00184",
-          "wasGeneratedBy" : "niiri:qndjnqndnfsdnfnsdf_registration"
-        },
-        {
-          "@id" : "niiri:dfsjnsqkdfnjsn_varcopes",
-          "label" : "varcopes",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_00184",
-          "wasGeneratedBy" : "niiri:qndjnqndnfsdnfnsdf_registration"
-        },
-        {
-          "@id" : "niiri:vbvbbvbv_undistorted_func",
-          "label" : "un-distorted functional",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_00184",
-          "wasGeneratedBy" : "niiri:fsqjklnfqljnfnfnnf_unwarp"
-        },
-        {
-          "@id" : "niiri:dfsjnsqkdfnjsn_contrasts",
-          "label" : "contrasts",
-          "prov:atLocation" : "niiri:TODO",
-          "attributedTo" : "scr:SCR_00184",
-          "wasGeneratedBy" : "niiri:TODO"
-        },
-        {
-          "@id" : "niiri:dfsjnsqkdfnjsn_todo",
-          "label" : "TODO",
-          "prov:atLocation" : "TODO",
-          "attributedTo" : "scr:SCR_00184",
-          "wasGeneratedBy" : "niiri:fsqjklnfqljnfnfnnf_prestats"
-        }
-      ]
+    "prov:Agent": [
+      {
+        "@id": "RRID:SCR_001847",
+        "@type": "prov:SoftwareAgent",
+        "RRID": "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
+        "label": "FSL"
+      }
+    ],
+    "prov:Activity": [
+      {
+        "@id": "niiri:sqlspspsppsp20202",
+        "label": "mcflirt",
+        "wasAssociatedWith": "RRID:SCR_001847",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+      },
+      {
+        "@id": "niiri:qndjnqndnfsdnfnsdf_registration",
+        "label": "registration",
+        "wasAssociatedWith": "RRID:SCR_001847",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:ksdqndns100201"
+      },
+      {
+        "@id": "niiri:fsqjklnfqljnfnfnnf_unwarp",
+        "label": "unwarp",
+        "wasAssociatedWith": "RRID:SCR_001847",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:ksdqndns100201"
+      },
+      {
+        "@id": "niiri:fsqjklnfqljnfnfnnf_prestats",
+        "label": "prestats",
+        "wasAssociatedWith": "RRID:SCR_001847",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:vbvbbvbv_undistorted_func"
+      },
+      {
+        "@id": "niiri:fsqjklnfqljnfnfnnf_stats",
+        "label": "stats",
+        "wasAssociatedWith": "RRID:SCR_001847",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": ["niiri:prestats_output_TODO", "niiri:dfsjnsqkdfnjsn_contrasts"]
+      }
+    ],
+    "prov:Entity": [
+      {
+        "@id": "niiri:dskjn1902",
+        "label": "functional",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_001847"
+      },
+      {
+        "@id": "niiri:ksdqndns100201",
+        "label": "Aligned functional",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_001847",
+        "wasGeneratedBy": "niiri:sqlspspsppsp20202"
+      },
+      {
+        "@id": "niiri:rezoiurozeiuriozuro",
+        "label": "Transformation files",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_copes",
+        "label": "copes",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_varcopes",
+        "label": "varcopes",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
+      },
+      {
+        "@id": "niiri:vbvbbvbv_undistorted_func",
+        "label": "un-distorted functional",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_unwarp"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_contrasts",
+        "label": "contrasts",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:TODO"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_todo",
+        "label": "TODO",
+        "prov:atLocation": "TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_prestats"
+      }
+    ]
   }
-}
\ No newline at end of file
+}
diff --git a/examples/fsl_default/viz_examples/jsonld11_example.jsonld b/examples/fsl_default/viz_examples/jsonld11_example.jsonld
new file mode 100644
index 000000000..a247d3c0e
--- /dev/null
+++ b/examples/fsl_default/viz_examples/jsonld11_example.jsonld
@@ -0,0 +1,16 @@
+{
+  "@context": "https://raw.githubusercontent.com/incf-nidash/nidm/master/nidm/nidm-results/terms/nidmr.json",
+  "records": {
+    "prov:Entity": {
+      "@id": "niiri:my_entity_id",
+      "label": "My beautiful entity"
+    },
+    "prov:Activity": {
+      "@id": "niiri:my_activity_id",
+      "prov:used": {
+        "@id": "niiri:my_entity_id"
+      }
+    }
+  },
+  "@id": "file:///home/radon/BIDS-prov/examples/fsl_default/viz_examples/ttl_example.ttl"
+}
\ No newline at end of file

From 291c58deeea999beac0044cd24e90926f2f32b16 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Tue, 15 Sep 2020 16:16:12 +0200
Subject: [PATCH 078/137] fix RRID

---
 examples/fsl_default/default.json               | 17 ++++++++---------
 examples/fsl_default/test_diplay_graphs.ipynb   | 12 ++++++------
 .../viz_examples/jsonld11_example.jsonld        |  2 +-
 3 files changed, 15 insertions(+), 16 deletions(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index cea23b632..4edbc696d 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -3,9 +3,8 @@
   "records": {
     "prov:Agent": [
       {
-        "@id": "RRID:SCR_001847",
+        "@id": "RRID:SCR_002823",
         "@type": "prov:SoftwareAgent",
-        "RRID": "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
         "label": "FSL"
       }
     ],
@@ -13,7 +12,7 @@
       {
         "@id": "niiri:sqlspspsppsp20202",
         "label": "mcflirt",
-        "wasAssociatedWith": "RRID:SCR_001847",
+        "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
         "used": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
@@ -21,7 +20,7 @@
       {
         "@id": "niiri:qndjnqndnfsdnfnsdf_registration",
         "label": "registration",
-        "wasAssociatedWith": "RRID:SCR_001847",
+        "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
         "used": "niiri:ksdqndns100201"
@@ -29,7 +28,7 @@
       {
         "@id": "niiri:fsqjklnfqljnfnfnnf_unwarp",
         "label": "unwarp",
-        "wasAssociatedWith": "RRID:SCR_001847",
+        "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
         "used": "niiri:ksdqndns100201"
@@ -37,7 +36,7 @@
       {
         "@id": "niiri:fsqjklnfqljnfnfnnf_prestats",
         "label": "prestats",
-        "wasAssociatedWith": "RRID:SCR_001847",
+        "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
         "used": "niiri:vbvbbvbv_undistorted_func"
@@ -45,7 +44,7 @@
       {
         "@id": "niiri:fsqjklnfqljnfnfnnf_stats",
         "label": "stats",
-        "wasAssociatedWith": "RRID:SCR_001847",
+        "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
         "used": ["niiri:prestats_output_TODO", "niiri:dfsjnsqkdfnjsn_contrasts"]
@@ -56,13 +55,13 @@
         "@id": "niiri:dskjn1902",
         "label": "functional",
         "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_001847"
+        "attributedTo": "RRID:SCR_002823"
       },
       {
         "@id": "niiri:ksdqndns100201",
         "label": "Aligned functional",
         "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_001847",
+        "attributedTo": "RRID:SCR_002823",
         "wasGeneratedBy": "niiri:sqlspspsppsp20202"
       },
       {
diff --git a/examples/fsl_default/test_diplay_graphs.ipynb b/examples/fsl_default/test_diplay_graphs.ipynb
index 14decf6b8..792078b2a 100644
--- a/examples/fsl_default/test_diplay_graphs.ipynb
+++ b/examples/fsl_default/test_diplay_graphs.ipynb
@@ -22,7 +22,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -60,7 +60,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -91,12 +91,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
@@ -129,12 +129,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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+      "image/png": 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\n",
       "text/plain": [
        "<IPython.core.display.Image object>"
       ]
diff --git a/examples/fsl_default/viz_examples/jsonld11_example.jsonld b/examples/fsl_default/viz_examples/jsonld11_example.jsonld
index a247d3c0e..72d6546a5 100644
--- a/examples/fsl_default/viz_examples/jsonld11_example.jsonld
+++ b/examples/fsl_default/viz_examples/jsonld11_example.jsonld
@@ -12,5 +12,5 @@
       }
     }
   },
-  "@id": "file:///home/radon/BIDS-prov/examples/fsl_default/viz_examples/ttl_example.ttl"
+  "@id": "file:///Users/camaumet/Softs/BIDS-prov/examples/fsl_default/viz_examples/ttl_example.ttl"
 }
\ No newline at end of file

From 245edc5c1d2791722dfc434b7758339983996191 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Tue, 15 Sep 2020 16:21:07 +0200
Subject: [PATCH 079/137] Update spec_update.md

---
 .github/ISSUE_TEMPLATE/spec_update.md | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/.github/ISSUE_TEMPLATE/spec_update.md b/.github/ISSUE_TEMPLATE/spec_update.md
index 4a11dee53..99bf0f36b 100644
--- a/.github/ISSUE_TEMPLATE/spec_update.md
+++ b/.github/ISSUE_TEMPLATE/spec_update.md
@@ -1,3 +1,12 @@
+---
+name: Propose spec update
+about: Update BIDS-prov specification
+title: ''
+labels: ''
+assignees: ''
+
+---
+
 ## Update proposal for BIDS Prov (BEP028)
 
 ### Problem Statement

From 56cc083cff1322bc5f8b79947950f62d28092680 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@inria.fr>
Date: Tue, 15 Sep 2020 16:21:48 +0200
Subject: [PATCH 080/137] Delete spec_update_issue_template.md

---
 .../ISSUE_TEMPLATE/spec_update_issue_template.md | 16 ----------------
 1 file changed, 16 deletions(-)
 delete mode 100644 .github/ISSUE_TEMPLATE/spec_update_issue_template.md

diff --git a/.github/ISSUE_TEMPLATE/spec_update_issue_template.md b/.github/ISSUE_TEMPLATE/spec_update_issue_template.md
deleted file mode 100644
index 4a11dee53..000000000
--- a/.github/ISSUE_TEMPLATE/spec_update_issue_template.md
+++ /dev/null
@@ -1,16 +0,0 @@
-## Update proposal for BIDS Prov (BEP028)
-
-### Problem Statement
-*What type of enhancement ? Is it a `new feature or a modification` ?
-What `limitation in the current spec` does this underline ?*
-
-### Rationale
-*What `solution` do you propose ? How does that relate to the original problem ?*
-
-### Minimal example
-*Provide a minimal example with the current spec.
-How would this example turn if we `apply the proposed change` ?*
-
-### Checklist 
-- [ ] links to related existing [issues](https://github.com/bids-standard/BEP028_BIDSprov/issues) and/or [PR](https://github.com/bids-standard/BEP028_BIDSprov/pulls)
-

From 108a6d1e44ae78bd2c08566262fec5255defea1f Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 15 Sep 2020 17:20:54 +0200
Subject: [PATCH 081/137] first working w3c graph

---
 bids_prov/visualize.py | 76 ++++++++++++++++++++++--------------------
 1 file changed, 39 insertions(+), 37 deletions(-)

diff --git a/bids_prov/visualize.py b/bids_prov/visualize.py
index 12b39994d..902fd58a0 100644
--- a/bids_prov/visualize.py
+++ b/bids_prov/visualize.py
@@ -8,50 +8,52 @@
 from graphviz import Digraph
 import json
 
-EDGES_PROPS = dict(
-    associatedWith={'color':'pink'},
-    informedBy={},
-    derivedFrom={},
-    actedOnBehalfOf={'color': 'pink'},
-    attributedTo={'color': 'pink'},
-    generatedBy={},
-)
+from prov.model import ProvDocument
+from prov.dot import prov_to_dot
+import requests
+import os
 
-NODE_PROPS = dict(
-    Entity=dict(shape='rect', style='rounded,filled', fillcolor='#f3f0b2'),
-    Agent=dict(shape='house', fillcolor="#F5D0A9", style="filled"),
-    Activity=dict(shape='rect', style='filled', fillcolor='#bfb4dd'),
-)
+import rdflib as rl
+import pyld as ld
+import json
+
+def viz_turtle(source=None, content=None, img_file=None, disp=True):
+    prov_doc = ProvDocument.deserialize(source=source, content=content, format='rdf', rdf_format='turtle')
+
+    dot = prov_to_dot(prov_doc, use_labels=True)
+    dot.write_png(img_file)
+
+
+def viz_jsonld11(jsonld11_file, img_file, disp=True):
+    url_context11 = json.load(open(jsonld11_file))
+
+    req_context_11 = requests.get(url=url_context11['@context'])
+    context_11 = req_context_11.json()
 
+    context_10 = {k: v for k,v in context_11['@context'].items() if k not in {'@version', 'records'}}
+
+    # Load graph from json-ld file as non 1.1 JSON-LD
+    aa=ld.jsonld.compact(
+        json.load(open(jsonld11_file, 'r')),
+        context_10)
+
+    g = rl.ConjunctiveGraph()
+    g.parse(data=json.dumps(aa, indent=2), format='json-ld')
+
+    viz_turtle(content=g.serialize(format='turtle').decode(), img_file=img_file, disp=disp)
 
 
 
 @click.command()
 @click.argument('filenames', nargs=-1)
-@click.option('--verbose', default=False)
-@click.option('--output_file', '-o', default='prov.gv')
-def main(filenames, verbose, output_file):
-    edge_props = EDGES_PROPS
-    #if not verbose:
-    #    edge_props.disc{'informedBy'}  # TODO : give a more complete set
-    
-    g = Digraph(format='png')
-    for filename in filenames:
-        with open(filename, 'r') as fd:
-            data = json.load(fd)
-
-        data = data['@graph']
-        with g.subgraph(name=filename) as s:
-            for e in data:
-                props = NODE_PROPS.get(e['@type'], {})
-                s.node(e['@id'], **props)
-
-            for e in data:
-                keys = e.keys() & edge_props.keys()
-                for key in keys:
-                    s.edge(e['@id'], e[key], label=key, **edge_props[key])
-
-    g.render(output_file, quiet_view=True)
+@click.option('--output_file', '-o', default='')
+def main(filenames, output_file):
+    filename = filenames[0]  # FIXME handle graph across multiple files
+
+    if not output_file:
+        output_file = os.path.splitext(filename)[0] + '.png'
+
+    viz_jsonld11(filename, output_file)
 
 
 if __name__ == '__main__':

From 711ba12af695d712d3aaa87f83c3747a36dba573 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Thu, 17 Sep 2020 10:20:24 +0200
Subject: [PATCH 082/137] [RM] deprecated CODE_OF_CONDUCT

---
 CODE_OF_CONDUCT.md | 76 ----------------------------------------------
 1 file changed, 76 deletions(-)
 delete mode 100644 CODE_OF_CONDUCT.md

diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md
deleted file mode 100644
index 5f32b0fe6..000000000
--- a/CODE_OF_CONDUCT.md
+++ /dev/null
@@ -1,76 +0,0 @@
-# Contributor Covenant Code of Conduct
-
-## Our Pledge
-
-In the interest of fostering an open and welcoming environment, we as
-contributors and maintainers pledge to making participation in our project and
-our community a harassment-free experience for everyone, regardless of age, body
-size, disability, ethnicity, sex characteristics, gender identity and expression,
-level of experience, education, socio-economic status, nationality, personal
-appearance, race, religion, or sexual identity and orientation.
-
-## Our Standards
-
-Examples of behavior that contributes to creating a positive environment
-include:
-
-* Using welcoming and inclusive language
-* Being respectful of differing viewpoints and experiences
-* Gracefully accepting constructive criticism
-* Focusing on what is best for the community
-* Showing empathy towards other community members
-
-Examples of unacceptable behavior by participants include:
-
-* The use of sexualized language or imagery and unwelcome sexual attention or
- advances
-* Trolling, insulting/derogatory comments, and personal or political attacks
-* Public or private harassment
-* Publishing others' private information, such as a physical or electronic
- address, without explicit permission
-* Other conduct which could reasonably be considered inappropriate in a
- professional setting
-
-## Our Responsibilities
-
-Project maintainers are responsible for clarifying the standards of acceptable
-behavior and are expected to take appropriate and fair corrective action in
-response to any instances of unacceptable behavior.
-
-Project maintainers have the right and responsibility to remove, edit, or
-reject comments, commits, code, wiki edits, issues, and other contributions
-that are not aligned to this Code of Conduct, or to ban temporarily or
-permanently any contributor for other behaviors that they deem inappropriate,
-threatening, offensive, or harmful.
-
-## Scope
-
-This Code of Conduct applies both within project spaces and in public spaces
-when an individual is representing the project or its community. Examples of
-representing a project or community include using an official project e-mail
-address, posting via an official social media account, or acting as an appointed
-representative at an online or offline event. Representation of a project may be
-further defined and clarified by project maintainers.
-
-## Enforcement
-
-Instances of abusive, harassing, or otherwise unacceptable behavior may be
-reported by contacting the project team at remi.adon@inria.fr. All
-complaints will be reviewed and investigated and will result in a response that
-is deemed necessary and appropriate to the circumstances. The project team is
-obligated to maintain confidentiality with regard to the reporter of an incident.
-Further details of specific enforcement policies may be posted separately.
-
-Project maintainers who do not follow or enforce the Code of Conduct in good
-faith may face temporary or permanent repercussions as determined by other
-members of the project's leadership.
-
-## Attribution
-
-This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4,
-available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html
-
-[homepage]: https://www.contributor-covenant.org
-
-For answers to common questions about this code of conduct, see
-https://www.contributor-covenant.org/faq

From 513667ad0c4ceb37ffa949c6d2fb4c8961250ee0 Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Fri, 18 Sep 2020 16:29:56 +0200
Subject: [PATCH 083/137] Typo

---
 README.md | 1 -
 1 file changed, 1 deletion(-)

diff --git a/README.md b/README.md
index 1bfecc721..b4241656d 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,3 @@
-<<<<<<< HEAD
 # BEP028
 provenance framework for BIDS
 This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**

From e228da798965cebde38c1576e45d87391bb8c72a Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Fri, 18 Sep 2020 16:30:34 +0200
Subject: [PATCH 084/137] Fix conflict in merge

---
 README.md | 8 --------
 1 file changed, 8 deletions(-)

diff --git a/README.md b/README.md
index b4241656d..77704d178 100644
--- a/README.md
+++ b/README.md
@@ -98,20 +98,12 @@ The BEP028 started as a [google doc](https://docs.google.com/document/d/1vw3VNDo
 ### NIDM weekly calls
 We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.  
 
----------------
 ## Additional resources
 Mature building blocks of NIDM:
 * [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
 * [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
 
 
-[New features (to be included)](new_features.md)
-=======
-Mature building blocks of NIDM:
-
-- [NIDM-terms](https://github.com/incf-nidash/nidm-terms)
-- [NIDM-results](http://nidm.nidash.org/specs/nidm-results_130.html)
-
 [New features (to be included)](new_features.md)
 
 

From 2672028938c19329567b331e172ed6d6888595fa Mon Sep 17 00:00:00 2001
From: Camille Maumet <cmaumet@users.noreply.github.com>
Date: Fri, 18 Sep 2020 16:32:33 +0200
Subject: [PATCH 085/137] Update info on PRs

---
 README.md | 22 ++--------------------
 1 file changed, 2 insertions(+), 20 deletions(-)

diff --git a/README.md b/README.md
index 77704d178..4722bb35b 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@ provenance framework for BIDS
 This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
 ## Our goal
-**Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
+**Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus usedz to encode transformations between digital objects
 
 ### Who is building BEP 028
 
@@ -64,7 +64,6 @@ We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT /
 
 For this purpose we have to **propose changes to the BIDS specification**
 
-
 The BIDS specification is *rendered* as a webpage at https://bids-specification.readthedocs.io.
 
 The website is built from a GitHub repository that consists of mostly markdown files at https://github.com/bids-standard/bids-specification.
@@ -72,28 +71,11 @@ If you don't know much about markdown, here's a [good intro guide](https://guide
 
 The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
 
-### Avoiding great big pull requests
-
-We could do all our work in a branch of the main [bids-specification](https://github.com/bids-standard/bids-specification) repository.
-We would be able to see how our proposed changes affected the current version of the specification by opening a [pull request](https://help.github.com/articles/about-pull-requests/).
-
-However, there are quite a few changes to make, and quite a lot of conversation to have around each of them, so our proposed way of working is to **break up the individual changes into manageable chunks**.
-
-Each conceptual update to the specification should have a *``proposal file``*.
-This file should explain what change it is proposing and provide a justification for the change.
-
-Once the proposal is ready, the developer should **open a pull request** to the master branch of the BEP028 repository (this one).
-If everyone agrees on the proposal, the file will be merged to master.
-
-(There will then be some wrangling to make the one big pull request to the bids-specification.
-We'll cross that bridge when we come to it! :sparkles:)
-
 
 ## Finding information and getting in touch
 
 ### Google doc
-The BEP028 started as a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
-
+The BEP028 is in a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
 
 ### NIDM weekly calls
 We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.  

From 243d8bd9c16ed1abaa60887cd17bb977ea1fb2b7 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Mon, 21 Sep 2020 16:40:45 +0200
Subject: [PATCH 086/137] [VIZ] handle single definition across multiple files

---
 bids_prov/visualize.py                       |  59 +++++--
 examples/spm_default/copies.json             |  90 +++++-----
 examples/spm_default/coreg_and_segment.json  | 173 ++++++++++---------
 examples/spm_default/model_and_contrast.json |  82 ++++-----
 examples/spm_default/normalise.json          |  80 ++++-----
 examples/spm_default/realign.json            |  59 +++----
 examples/spm_default/report.json             |  54 +++---
 examples/spm_default/smooth.json             |  64 +++----
 8 files changed, 357 insertions(+), 304 deletions(-)

diff --git a/bids_prov/visualize.py b/bids_prov/visualize.py
index 902fd58a0..0e5f61d00 100644
--- a/bids_prov/visualize.py
+++ b/bids_prov/visualize.py
@@ -17,30 +17,60 @@
 import pyld as ld
 import json
 
-def viz_turtle(source=None, content=None, img_file=None, disp=True):
+from collections import defaultdict
+import warnings
+
+def viz_turtle(source=None, content=None, img_file=None):
     prov_doc = ProvDocument.deserialize(source=source, content=content, format='rdf', rdf_format='turtle')
 
     dot = prov_to_dot(prov_doc, use_labels=True)
     dot.write_png(img_file)
 
 
-def viz_jsonld11(jsonld11_file, img_file, disp=True):
-    url_context11 = json.load(open(jsonld11_file))
-
-    req_context_11 = requests.get(url=url_context11['@context'])
+def viz_jsonld11(jsonld11, img_file):
+    """
+    jsonld11: dict
+        a dictionary containing jsonld data,
+        usually obtained by calling `json.load`
+    img_file: str
+        output path
+    """
+    req_context_11 = requests.get(url=jsonld11['@context'])
     context_11 = req_context_11.json()
 
     context_10 = {k: v for k,v in context_11['@context'].items() if k not in {'@version', 'records'}}
 
     # Load graph from json-ld file as non 1.1 JSON-LD
-    aa=ld.jsonld.compact(
-        json.load(open(jsonld11_file, 'r')),
-        context_10)
+    aa=ld.jsonld.compact(jsonld11, context_10)
 
     g = rl.ConjunctiveGraph()
     g.parse(data=json.dumps(aa, indent=2), format='json-ld')
 
-    viz_turtle(content=g.serialize(format='turtle').decode(), img_file=img_file, disp=disp)
+    viz_turtle(content=g.serialize(format='turtle').decode(), img_file=img_file)
+
+
+def join_jsonld(lds, graph_key="records"):
+    """
+    lds: list of dict
+        jsonld graphs to be joined
+
+    Notes: assumes graph is typed indexed
+    """
+    ctx = set((_['@context'] for _ in lds))
+    if not len(ctx) == 1:
+        raise ValueError(f"jsonlds should have a common context, found {ctx}")
+    payload = {"@context" : next(iter(ctx)), graph_key : defaultdict(list)}
+    for ld in lds:
+        graph = ld.get(graph_key, dict())
+        for _type, values in graph.items():
+            payload[graph_key][_type].extend(values)  # FIXME check for duplicated defs
+
+    if not payload[graph_key]:
+        warnings.warn(
+            f"could not found any {graph_key} section in the jsonlds"
+        )
+    #payload[graph_key]] = dict(payload[graph_key]])
+    return payload
 
 
 
@@ -48,12 +78,19 @@ def viz_jsonld11(jsonld11_file, img_file, disp=True):
 @click.argument('filenames', nargs=-1)
 @click.option('--output_file', '-o', default='')
 def main(filenames, output_file):
-    filename = filenames[0]  # FIXME handle graph across multiple files
+    jsonld11s = list()
+    for filename in filenames:
+        with open(filename) as fd:
+            ld = json.load(fd)
+            jsonld11s.append(ld)
+
+    # join multiple definitions
+    jsonld11 = join_jsonld(jsonld11s)
 
     if not output_file:
         output_file = os.path.splitext(filename)[0] + '.png'
 
-    viz_jsonld11(filename, output_file)
+    viz_jsonld11(jsonld11, output_file)
 
 
 if __name__ == '__main__':
diff --git a/examples/spm_default/copies.json b/examples/spm_default/copies.json
index e38a0baa2..1baefcf03 100644
--- a/examples/spm_default/copies.json
+++ b/examples/spm_default/copies.json
@@ -1,71 +1,71 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
-      "@id": "INRIA",
-      "@type": "Project",
-      "startedAt": "2016-09-01T10:00:00",
-      "wasAssociatedWith": { "@id": "NIH",
-                              "@type": "Organization",
-                              "hadRole": "Funding"
-                            }
-    },
-  "@graph": {
-    "prov:SoftwareAgent" : [
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
+  "records": {
+    "prov:Agent": [
       {
-        "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
-        "@type" : "prov:SoftwareAgent",
-        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-        "label" : "SPM" 
+        "@id": "RRID:SCR_007037",
+        "@type": "prov:SoftwareAgent",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
-        "label" : "copy and unzip anat",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
-        "startedAtTime" : "2019-10-10T10:00:00",
-        "endedAtTime" : "2019-10-10T10:00:00",
-        "used" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+        "@id": "niiri:653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
+        "label": "copy and unzip anat",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
       },
       {
-        "@id" : "653467354367537gjsfhdgfhjsf67345523efdghs",
-        "label" : "copy and unzip func",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs", 
-        "startedAtTime" : "2019-10-10T10:00:00",
-        "endedAtTime" : "2019-10-10T10:00:00",
-        "used" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd"
+        "@id": "niiri:653467354367537gjsfhdgfhjsf67345523efdghs",
+        "label": "copy and unzip func",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:sjhgdfhjsgd63q54673gbdsjdfsqjnfd"
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
-        "label" : "anat raw",
+        "@id": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+        "label": "anat raw",
         "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/anat/sub-01_T1w.nii.gz",
         "generatedAt": "2019-10-10T10:00:00"
       },
       {
-        "@id" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
-        "label" : "func raw",
+        "@id": "niiri:sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+        "label": "func raw",
         "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
         "generatedAt": "2019-10-10T10:00:00"
       },
       {
-        "@id" : "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
-        "label" : "anat unzipped",
-        "prov:atLocation" : "??????",
-        "derivedFrom" : "sjhgdfhjsgd63q54673aaaaaaaaaaafa",
-        "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
-        "wasGeneratedBy" : "653467354367537gjsfhdgfhjaaaaaaaaaaaaaa"
+        "@id": "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
+        "label": "anat unzipped",
+        "prov:atLocation": "??????",
+        "derivedFrom": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+        "attributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:653467354367537gjsfhdgfhjaaaaaaaaaaaaaa"
       },
       {
-        "@id" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-        "label" : "func unzipped",
-        "prov:atLocation" : "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-        "derivedFrom" : "sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
-        "attributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs",
-        "wasGeneratedBy" : "653467354367537gjsfhdgfhjsf67345523efdghs"
+        "@id": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "label": "func unzipped",
+        "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
+        "derivedFrom": "niiri:sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+        "attributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:653467354367537gjsfhdgfhjsf67345523efdghs"
       }
     ]
   }
diff --git a/examples/spm_default/coreg_and_segment.json b/examples/spm_default/coreg_and_segment.json
index 1956aaa47..31800eaa1 100644
--- a/examples/spm_default/coreg_and_segment.json
+++ b/examples/spm_default/coreg_and_segment.json
@@ -1,48 +1,63 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
     "@id": "INRIA",
     "@type": "Project",
     "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
-  "@graph": {
-    "prov:SoftwareAgent" : [
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
+  "records": {
+    "prov:Agent": [
       {
-        "@id" : "653467354367537gjsfhdgfhfdsjkn",
-        "@type" : "prov:SoftwareAgent",
-        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-        "label" : "SPM" 
+        "@id": "RRID:SCR_007037",
+        "@type": "prov:SoftwareAgent",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "fdsljfnqkljfdklqsjdfq",
-        "label" : "coregister",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:0",
-        "used" : "fdsjnflqj12381U39fdskjnf",
-        "attributes" : [
+        "@id": "niiri:fdsljfnqkljfdklqsjdfq",
+        "label": "coregister",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "10/10/2020 00:00:00",
+        "endedAtTime": "10/10/2020 01:0",
+        "used": "niiri:fdsjnflqj12381U39fdskjnf",
+        "attributes": [
           ["eoptions.cost_fun", "nmi"],
           ["eoptions.sep", [4, 2]],
-          ["eoptions.tol", [0.02, 0.02, 0.02, 0.001, 0.001, 0.001, 0.01, 0.01, 0.01, 0.001, 0.001, 0.001]],
+          [
+            "eoptions.tol",
+            [
+              0.02,
+              0.02,
+              0.02,
+              0.001,
+              0.001,
+              0.001,
+              0.01,
+              0.01,
+              0.01,
+              0.001,
+              0.001,
+              0.001
+            ]
+          ],
           ["eoptions.fhwm", [0, 1]]
         ]
       },
       {
-        "@id" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "label" : "segment",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:09",
-        "used" : "TODO",
-        "attributes" : [
+        "@id": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "label": "segment",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "10/10/2020 00:00:00",
+        "endedAtTime": "10/10/2020 01:09",
+        "attributes": [
           ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
           ["tissue1.ngaus", 1],
           ["tissue1.native", [1, 0]],
@@ -70,74 +85,74 @@
         ]
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "fsiudfqsoi938409283409fdskj",
-        "label" : ".nii updated header",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "fdsljfnqkljfdklqsjdfq",
-        "derivedFrom" : [
-          "fdsjnflqj12381U39fdskjnf",
+        "@id": "fsiudfqsoi938409283409fdskj",
+        "label": ".nii updated header",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:fdsljfnqkljfdklqsjdfq",
+        "derivedFrom": [
+          "niiri:fdsjnflqj12381U39fdskjnf",
           "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
         ],
-        "prov:atLocation" : "TODO"
+        "prov:atLocation": "TODO"
       },
       {
-        "@id" : "102983fsdkjnfskjdfnks129",
-        "label" : "anat bias corrected",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/"
+        "@id": "102983fsdkjnfskjdfnks129",
+        "label": "anat bias corrected",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/"
       },
       {
-        "@id" : "fksjndflkqsjnf1290389",
-        "label" : "tissue1",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,1"
+        "@id": "fksjndflkqsjnf1290389",
+        "label": "tissue1",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,1"
       },
       {
-        "@id" : "dsfklsnqfjkdlnqs132",
-        "label" : "tissue2",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,2"
+        "@id": "dsfklsnqfjkdlnqs132",
+        "label": "tissue2",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,2"
       },
       {
-        "@id" : "fdsqljnflqsjfnd1203",
-        "label" : "tissue3",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,3"
+        "@id": "fdsqljnflqsjfnd1203",
+        "label": "tissue3",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,3"
       },
       {
-        "@id" : "fdsqlnfqksjn1290321093",
-        "label" : "tissue4",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,4"
+        "@id": "fdsqlnfqksjn1290321093",
+        "label": "tissue4",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,4"
       },
       {
-        "@id" : "fjkn120932109fdsjk",
-        "label" : "tisue5",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,5"
+        "@id": "fjkn120932109fdsjk",
+        "label": "tisue5",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,5"
       },
       {
-        "@id" : "1903809128fshbfqqcbcbc",
-        "label" : "tissue6",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom" : "fsiudfqsoi938409283409fdskj",
-        "prov:atLocation" : "$HOME/spm12/tpm/TPM.nii,6"
+        "@id": "1903809128fshbfqqcbcbc",
+        "label": "tissue6",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,6"
       }
     ]
   }
-}
\ No newline at end of file
+}
diff --git a/examples/spm_default/model_and_contrast.json b/examples/spm_default/model_and_contrast.json
index 9299d5521..147db1aa8 100644
--- a/examples/spm_default/model_and_contrast.json
+++ b/examples/spm_default/model_and_contrast.json
@@ -1,34 +1,34 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
     "@id": "INRIA",
     "@type": "Project",
     "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
-  "@graph": {
-    "prov:SoftwareAgent" : [
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
+  "records": {
+    "prov:Agent": [
       {
-        "@id" : "653467354367537gjsfhdgfhfdsjkn",
-        "@type" : "prov:SoftwareAgent",
-        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-        "label" : "SPM" 
+        "@id": "RRID:SCR_007037",
+        "@type": "prov:SoftwareAgent",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "fsdfksnf1290883",
-        "label" : "model estimation",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "11/10/2020 00:02:00",
-        "endedAtTime" : "11/10/2020 01:02:00",
-        "used" : "fjsdnfkjqnsldf129381290",
-        "attributes" : [
+        "@id": "niiri:fsdfksnf1290883",
+        "label": "model estimation",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "11/10/2020 00:02:00",
+        "endedAtTime": "11/10/2020 01:02:00",
+        "used": "niiri:fjsdnfkjqnsldf129381290",
+        "attributes": [
           ["timing.units", "secs"],
           ["timing.RT", 2],
           ["timing.fmri_t", "16"],
@@ -44,13 +44,13 @@
         ]
       },
       {
-        "@id" : "fslkjnfsqlkn1203829830912803210",
-        "label" : "contrast results",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "11/11/2020 00:02:00",
-        "endedAtTime" : "11/11/2020 01:02:00",
-        "used" : "sqj12391209UDJKSNDSJKDQSqsdjn",
-        "attributes" : [
+        "@id": "niiri:fslkjnfsqlkn1203829830912803210",
+        "label": "contrast results",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "11/11/2020 00:02:00",
+        "endedAtTime": "11/11/2020 01:02:00",
+        "used": "niiri:sqj12391209UDJKSNDSJKDQSqsdjn",
+        "attributes": [
           ["write_residuals", 0],
           ["method.Classical", 1],
           ["tcon.weights", [1, 0]],
@@ -59,23 +59,23 @@
         ]
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "dsjknfdklqnl1029qkfndjknqsd",
-        "label" : "SPM.mat",
-        "prov:atLocation" : "TODO",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "fsdfksnf1290883",
-        "derivedFrom" : "fjsdnfkjqnsldf129381290"
+        "@id": "dsjknfdklqnl1029qkfndjknqsd",
+        "label": "SPM.mat",
+        "prov:atLocation": "TODO",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:fsdfksnf1290883",
+        "derivedFrom": "niiri:fjsdnfkjqnsldf129381290"
       },
       {
-        "@id" : "sqj12391209UDJKSNDSJKDQSqsdjn",
-        "label" : "SPM.mat",
-        "prov:atLocation" : "TODO",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "fslkjnfsqlkn1203829830912803210",
-        "derivedFrom" : "dsjknfdklqnl1029qkfndjknqsd"
+        "@id": "niiri:sqj12391209UDJKSNDSJKDQSqsdjn",
+        "label": "SPM.mat",
+        "prov:atLocation": "TODO",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:fslkjnfsqlkn1203829830912803210",
+        "derivedFrom": "dsjknfdklqnl1029qkfndjknqsd"
       }
     ]
   }
-}
\ No newline at end of file
+}
diff --git a/examples/spm_default/normalise.json b/examples/spm_default/normalise.json
index 6ae272de5..f3c878081 100644
--- a/examples/spm_default/normalise.json
+++ b/examples/spm_default/normalise.json
@@ -1,62 +1,62 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
     "@id": "INRIA",
     "@type": "Project",
     "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
   "@graph": {
-    "prov:SoftwareAgent" : [
+    "prov:Agent": [
       {
-          "@id" : "653467354367537gjsfhdgfhfdsjkn",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-          "label" : "SPM" 
+        "@id": "RRID:SCR_007037",
+        "@type": "prov:SoftwareAgent",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "fsdknfsqkldf12238123818288",
-        "label" : "normalise func",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:00",
-        "used" : "fdsjnflqj12381U39fdskjnf",
-        "attributes" : []
+        "@id": "niiri:fsdknfsqkldf12238123818288",
+        "label": "normalise func",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "10/10/2020 00:00:00",
+        "endedAtTime": "10/10/2020 01:00",
+        "used": "niiri:fdsjnflqj12381U39fdskjnf",
+        "attributes": []
       },
       {
-        "@id" : "fsdknfsqkld123980932",
-        "label" : "normalise anat",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:00",
-        "used" : "102983fsdkjnfskjdfnks129",
-        "attributes" : []
+        "@id": "niiri:fsdknfsqkld123980932",
+        "label": "normalise anat",
+        "wasAssociatedWith": "RRID:SCR_007037",
+        "startedAtTime": "10/10/2020 00:00:00",
+        "endedAtTime": "10/10/2020 01:00",
+        "used": "102983fsdkjnfskjdfnks129",
+        "attributes": []
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "2378783298182821NDN",
-        "label" : "normalised func",
-        "prov:atLocation" : "func_normalised_location.nii",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "fsdknfsqkldf12238123818288",
-        "derivedFrom" : "fdsjnflqj12381U39fdskjnf"
+        "@id": "niiri:2378783298182821NDN",
+        "label": "normalised func",
+        "prov:atLocation": "func_normalised_location.nii",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:fsdknfsqkldf12238123818288",
+        "derivedFrom": "niiri:fdsjnflqj12381U39fdskjnf"
       },
       {
-        "@id" : "12837873NDN",
-        "label" : "normalised anat",
-        "prov:atLocation" : "anat_normalised_location.nii",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "fsdknfsqkld123980932",
-        "derivedFrom" : "102983fsdkjnfskjdfnks129"
+        "@id": "12837873NDN",
+        "label": "normalised anat",
+        "prov:atLocation": "anat_normalised_location.nii",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:fsdknfsqkld123980932",
+        "derivedFrom": "102983fsdkjnfskjdfnks129"
       }
     ]
   }
-}
\ No newline at end of file
+}
diff --git a/examples/spm_default/realign.json b/examples/spm_default/realign.json
index 6361e6b46..fa1ac5d0e 100644
--- a/examples/spm_default/realign.json
+++ b/examples/spm_default/realign.json
@@ -1,34 +1,35 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
-      "@id": "INRIA",
-      "@type": "Project",
-      "startedAt": "2016-09-01T10:00:00",
-      "wasAssociatedWith": { "@id": "NIH",
-                              "@type": "Organization",
-                              "hadRole": "Funding"
-                            }
-    },
+    "@id": "INRIA",
+    "@type": "Project",
+    "startedAt": "2016-09-01T10:00:00",
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
   "@graph": {
-    "prov:SoftwareAgent" : [
+    "prov:SoftwareAgent": [
       {
-        "@id" : "653467354367537gjsfhdgfhfdsjkn",
-        "@type" : "prov:SoftwareAgent",
-        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-        "label" : "SPM" 
+        "@id": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "@type": "prov:SoftwareAgent",
+        "RRID": "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "fdskjfnskjndflqkjndl",
-        "label" : "realign",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "10/10/2020 00:00:00",
-        "endedAtTime" : "10/10/2020 01:00:00",
-        "used" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-        "attributes" : [
+        "@id": "fdskjfnskjndflqkjndl",
+        "label": "realign",
+        "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime": "10/10/2020 00:00:00",
+        "endedAtTime": "10/10/2020 01:00:00",
+        "used": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "attributes": [
           ["eoptions.quality", 0.9],
           ["eoptions.sep", 4],
           ["eoptions.fwhm", 5],
@@ -43,14 +44,14 @@
         ]
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "fdsjnflqj12381U39fdskjnf",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "fdskjfnskjndflqkjndl",
-        "derivedFrom" : "sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
-        "label" : "Realigned func",
-        "prov:atLocation" : "TODO"
+        "@id": "fdsjnflqj12381U39fdskjnf",
+        "wasAttributedTo": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy": "fdskjfnskjndflqkjndl",
+        "derivedFrom": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "label": "Realigned func",
+        "prov:atLocation": "TODO"
       }
     ]
   }
diff --git a/examples/spm_default/report.json b/examples/spm_default/report.json
index d9d248aad..2d4fdf225 100644
--- a/examples/spm_default/report.json
+++ b/examples/spm_default/report.json
@@ -1,44 +1,44 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
     "@id": "INRIA",
     "@type": "Project",
     "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
-  "@graph": {
-    "prov:SoftwareAgent" : [
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
+  "records": {
+    "prov:Agent": [
       {
-        "@id" : "653467354367537gjsfhdgfhjsf67345523bcs",
-        "@type" : "prov:SoftwareAgent",
-        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-        "label" : "SPM" 
+        "@id": "RRID:SCR_007037",
+        "@type": "prov:SoftwareAgent",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "qkjsnd1283NDQSNKDQ",
-        "label" : "export to PDF",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhjsf67345523bcs",
-        "startedAtTime" : "2019-10-10T10:00:00",
-        "endedAtTime" : "2019-10-10T10:00:00",
-        "used" : "djkfnslknlq1°1°°1°1°"
+        "@id": "niiri:qkjsnd1283NDQSNKDQ",
+        "label": "export to PDF",
+        "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhjsf67345523bcs",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": "niiri:djkfnslknlq1°1°°1°1°"
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "djkfnslknlq1°1°°1°1°",
-        "label" : "PDF",
-        "generatedAt" : "2019-10-10T10:00:00",
-        "derivedFrom" : "sqj12391209UDJKSNDSJKDQSqsdjn",
-        "wasGeneratedBy" : "qkjsnd1283NDQSNKDQ",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhjsf67345523bcs"
+        "@id": "niiri:djkfnslknlq1°1°°1°1°",
+        "label": "PDF",
+        "generatedAt": "2019-10-10T10:00:00",
+        "derivedFrom": "niiri:sqj12391209UDJKSNDSJKDQSqsdjn",
+        "wasGeneratedBy": "niiri:qkjsnd1283NDQSNKDQ",
+        "wasAttributedTo": "niiri:653467354367537gjsfhdgfhjsf67345523bcs"
       }
     ]
   }
-}
\ No newline at end of file
+}
diff --git a/examples/spm_default/smooth.json b/examples/spm_default/smooth.json
index 1f566a456..7ff7e71ef 100644
--- a/examples/spm_default/smooth.json
+++ b/examples/spm_default/smooth.json
@@ -1,50 +1,50 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
   "@id": "http://example.org/ds00000X",
   "generatedAt": "2020-03-10T10:00:00",
   "wasGeneratedBy": {
     "@id": "INRIA",
     "@type": "Project",
     "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
-  "@graph": {
-    "prov:SoftwareAgent" : [
+    "wasAssociatedWith": {
+      "@id": "NIH",
+      "@type": "Organization",
+      "hadRole": "Funding"
+    }
+  },
+  "records": {
+    "prov:Agent": [
       {
-        "@id" : "653467354367537gjsfhdgfhfdsjkn",
-        "@type" : "prov:SoftwareAgent",
-        "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
-        "label" : "SPM" 
+        "@id": "RRID:SCR_007037",
+        "@type": "prov:SoftwareAgent",
+        "label": "SPM"
       }
     ],
-    "prov:Activity" : [
+    "prov:Activity": [
       {
-        "@id" : "smsmsmsmsmsmsmsm343",
-        "label" : "smooth",
-        "wasAssociatedWith" : "653467354367537gjsfhdgfhfdsjkn",
-        "startedAtTime" : "10/10/2020 00:02:00",
-        "endedAtTime" : "10/10/2020 01:02:00",
-        "used" : "2378783298182821NDN",
-        "attributes" : [
-            ["fwhm", [6, 6, 6]],
-            ["dtype", 0],
-            ["im", 0],
-            ["prefix", "s"]
+        "@id": "niiri:smsmsmsmsmsmsmsm343",
+        "label": "smooth",
+        "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "startedAtTime": "10/10/2020 00:02:00",
+        "endedAtTime": "10/10/2020 01:02:00",
+        "used": "niiri:2378783298182821NDN",
+        "attributes": [
+          ["fwhm", [6, 6, 6]],
+          ["dtype", 0],
+          ["im", 0],
+          ["prefix", "s"]
         ]
       }
     ],
-    "prov:Entity" : [
+    "prov:Entity": [
       {
-        "@id" : "fjsdnfkjqnsldf129381290",
-        "label" : "Smoothed functional images",
-        "prov:atLocation" : "TODO",
-        "wasAttributedTo" : "653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy" : "smsmsmsmsmsmsmsm343",
-        "derivedFrom" : "2378783298182821NDN"
+        "@id": "fjsdnfkjqnsldf129381290",
+        "label": "Smoothed functional images",
+        "prov:atLocation": "TODO",
+        "wasAttributedTo": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "wasGeneratedBy": "niiri:smsmsmsmsmsmsmsm343",
+        "derivedFrom": "niiri:2378783298182821NDN"
       }
     ]
   }
-}
\ No newline at end of file
+}

From 7cc3727ab2d9b638ab84ea585aa8642b627d7060 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 22 Sep 2020 14:06:58 +0200
Subject: [PATCH 087/137] SPM coreg [FIX] inputs and [ADD] --omit-details flag
 to viz CLI

---
 bids_prov/visualize.py                       | 20 ++++++++++++++---
 examples/spm_default/copies.json             |  2 +-
 examples/spm_default/coreg_and_segment.json  | 23 +++++++++++---------
 examples/spm_default/model_and_contrast.json |  2 +-
 examples/spm_default/normalise.json          |  2 +-
 examples/spm_default/smooth.json             |  2 +-
 6 files changed, 34 insertions(+), 17 deletions(-)

diff --git a/bids_prov/visualize.py b/bids_prov/visualize.py
index 0e5f61d00..e2218a3df 100644
--- a/bids_prov/visualize.py
+++ b/bids_prov/visualize.py
@@ -20,6 +20,11 @@
 from collections import defaultdict
 import warnings
 
+OPTIONAL_FIELDS = dict(  # fields to omit if `--high-level` flag activated
+    Activity=("startedAtTime", "endedAtTime"),
+    Entity=("atLocation", "generatedAt"),
+)
+
 def viz_turtle(source=None, content=None, img_file=None):
     prov_doc = ProvDocument.deserialize(source=source, content=content, format='rdf', rdf_format='turtle')
 
@@ -49,11 +54,13 @@ def viz_jsonld11(jsonld11, img_file):
     viz_turtle(content=g.serialize(format='turtle').decode(), img_file=img_file)
 
 
-def join_jsonld(lds, graph_key="records"):
+def join_jsonld(lds, graph_key="records", omit_details=True):
     """
     lds: list of dict
         jsonld graphs to be joined
 
+    omit_details: bool, default: True
+        omit low level details like datetimes and paths
     Notes: assumes graph is typed indexed
     """
     ctx = set((_['@context'] for _ in lds))
@@ -63,6 +70,11 @@ def join_jsonld(lds, graph_key="records"):
     for ld in lds:
         graph = ld.get(graph_key, dict())
         for _type, values in graph.items():
+            if omit_details and _type[5:] in OPTIONAL_FIELDS.keys():
+                values = [
+                    {k: d[k] for k in d if k not in OPTIONAL_FIELDS.get(_type[5:], tuple())}
+                    for d in values
+                ]
             payload[graph_key][_type].extend(values)  # FIXME check for duplicated defs
 
     if not payload[graph_key]:
@@ -77,7 +89,9 @@ def join_jsonld(lds, graph_key="records"):
 @click.command()
 @click.argument('filenames', nargs=-1)
 @click.option('--output_file', '-o', default='')
-def main(filenames, output_file):
+@click.option('--omit-details', is_flag=True,
+              help=f"""omit the following low level details : {OPTIONAL_FIELDS}""")
+def main(filenames, output_file, omit_details):
     jsonld11s = list()
     for filename in filenames:
         with open(filename) as fd:
@@ -85,7 +99,7 @@ def main(filenames, output_file):
             jsonld11s.append(ld)
 
     # join multiple definitions
-    jsonld11 = join_jsonld(jsonld11s)
+    jsonld11 = join_jsonld(jsonld11s, omit_details=omit_details)
 
     if not output_file:
         output_file = os.path.splitext(filename)[0] + '.png'
diff --git a/examples/spm_default/copies.json b/examples/spm_default/copies.json
index 1baefcf03..ed5dd31dc 100644
--- a/examples/spm_default/copies.json
+++ b/examples/spm_default/copies.json
@@ -52,7 +52,7 @@
         "generatedAt": "2019-10-10T10:00:00"
       },
       {
-        "@id": "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
+        "@id": "niiri:sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
         "label": "anat unzipped",
         "prov:atLocation": "??????",
         "derivedFrom": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa",
diff --git a/examples/spm_default/coreg_and_segment.json b/examples/spm_default/coreg_and_segment.json
index 31800eaa1..3ca000f7f 100644
--- a/examples/spm_default/coreg_and_segment.json
+++ b/examples/spm_default/coreg_and_segment.json
@@ -27,7 +27,10 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
         "endedAtTime": "10/10/2020 01:0",
-        "used": "niiri:fdsjnflqj12381U39fdskjnf",
+        "used": [
+          "niiri:fdsjnflqj12381U39fdskjnf",
+          "niiri:sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
+        ],
         "attributes": [
           ["eoptions.cost_fun", "nmi"],
           ["eoptions.sep", [4, 2]],
@@ -87,13 +90,13 @@
     ],
     "prov:Entity": [
       {
-        "@id": "fsiudfqsoi938409283409fdskj",
+        "@id": "niiri:fsiudfqsoi938409283409fdskj",
         "label": ".nii updated header",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:fdsljfnqkljfdklqsjdfq",
         "derivedFrom": [
           "niiri:fdsjnflqj12381U39fdskjnf",
-          "sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
+          "niiri:sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa"
         ],
         "prov:atLocation": "TODO"
       },
@@ -102,7 +105,7 @@
         "label": "anat bias corrected",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/"
       },
       {
@@ -110,7 +113,7 @@
         "label": "tissue1",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,1"
       },
       {
@@ -118,7 +121,7 @@
         "label": "tissue2",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,2"
       },
       {
@@ -126,7 +129,7 @@
         "label": "tissue3",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,3"
       },
       {
@@ -134,7 +137,7 @@
         "label": "tissue4",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,4"
       },
       {
@@ -142,7 +145,7 @@
         "label": "tisue5",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,5"
       },
       {
@@ -150,7 +153,7 @@
         "label": "tissue6",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
-        "derivedFrom": "fsiudfqsoi938409283409fdskj",
+        "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,6"
       }
     ]
diff --git a/examples/spm_default/model_and_contrast.json b/examples/spm_default/model_and_contrast.json
index 147db1aa8..5be383a15 100644
--- a/examples/spm_default/model_and_contrast.json
+++ b/examples/spm_default/model_and_contrast.json
@@ -61,7 +61,7 @@
     ],
     "prov:Entity": [
       {
-        "@id": "dsjknfdklqnl1029qkfndjknqsd",
+        "@id": "niiri:dsjknfdklqnl1029qkfndjknqsd",
         "label": "SPM.mat",
         "prov:atLocation": "TODO",
         "wasAttributedTo": "RRID:SCR_007037",
diff --git a/examples/spm_default/normalise.json b/examples/spm_default/normalise.json
index f3c878081..6f9896497 100644
--- a/examples/spm_default/normalise.json
+++ b/examples/spm_default/normalise.json
@@ -50,7 +50,7 @@
         "derivedFrom": "niiri:fdsjnflqj12381U39fdskjnf"
       },
       {
-        "@id": "12837873NDN",
+        "@id": "niiri:12837873NDN",
         "label": "normalised anat",
         "prov:atLocation": "anat_normalised_location.nii",
         "wasAttributedTo": "RRID:SCR_007037",
diff --git a/examples/spm_default/smooth.json b/examples/spm_default/smooth.json
index 7ff7e71ef..514eb81cd 100644
--- a/examples/spm_default/smooth.json
+++ b/examples/spm_default/smooth.json
@@ -38,7 +38,7 @@
     ],
     "prov:Entity": [
       {
-        "@id": "fjsdnfkjqnsldf129381290",
+        "@id": "niiri:fjsdnfkjqnsldf129381290",
         "label": "Smoothed functional images",
         "prov:atLocation": "TODO",
         "wasAttributedTo": "niiri:653467354367537gjsfhdgfhfdsjkn",

From 8f41fabdd4a288a41f041cbebe3b61cd7e33eb81 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 22 Sep 2020 16:41:16 +0200
Subject: [PATCH 088/137] SPM shorten identifiers for readability

---
 examples/spm_default/copies.json             | 20 ++++++-------
 examples/spm_default/coreg_and_segment.json  | 30 ++++++++++----------
 examples/spm_default/model_and_contrast.json | 10 +++----
 examples/spm_default/normalise.json          |  4 +--
 examples/spm_default/report.json             |  6 ++--
 examples/spm_default/smooth.json             |  6 ++--
 6 files changed, 38 insertions(+), 38 deletions(-)

diff --git a/examples/spm_default/copies.json b/examples/spm_default/copies.json
index ed5dd31dc..fc02a7c4a 100644
--- a/examples/spm_default/copies.json
+++ b/examples/spm_default/copies.json
@@ -22,31 +22,31 @@
     ],
     "prov:Activity": [
       {
-        "@id": "niiri:653467354367537gjsfhdgfhjaaaaaaaaaaaaaa",
+        "@id": "niiri:6534673543aaaaaaa",
         "label": "copy and unzip anat",
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+        "used": "niiri:sjhgdfhjsgd63q5aaafa"
       },
       {
-        "@id": "niiri:653467354367537gjsfhdgfhjsf67345523efdghs",
+        "@id": "niiri:653467354367537g345523efdghs",
         "label": "copy and unzip func",
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:sjhgdfhjsgd63q54673gbdsjdfsqjnfd"
+        "used": "niiri:sjhgdf673gbdsjdfsqjnfd"
       }
     ],
     "prov:Entity": [
       {
-        "@id": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+        "@id": "niiri:sjhgdfhjsgd63q5aaafa",
         "label": "anat raw",
         "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/anat/sub-01_T1w.nii.gz",
         "generatedAt": "2019-10-10T10:00:00"
       },
       {
-        "@id": "niiri:sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+        "@id": "niiri:sjhgdf673gbdsjdfsqjnfd",
         "label": "func raw",
         "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz",
         "generatedAt": "2019-10-10T10:00:00"
@@ -55,17 +55,17 @@
         "@id": "niiri:sjhgdfhfdsqldjkfnlqkjaaaaaaaaaa",
         "label": "anat unzipped",
         "prov:atLocation": "??????",
-        "derivedFrom": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa",
+        "derivedFrom": "niiri:sjhgdfhjsgd63q5aaafa",
         "attributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:653467354367537gjsfhdgfhjaaaaaaaaaaaaaa"
+        "wasGeneratedBy": "niiri:6534673543aaaaaaa"
       },
       {
         "@id": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
         "label": "func unzipped",
         "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
-        "derivedFrom": "niiri:sjhgdfhjsgd63q54673gbdsjdfsqjnfd",
+        "derivedFrom": "niiri:sjhgdf673gbdsjdfsqjnfd",
         "attributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:653467354367537gjsfhdgfhjsf67345523efdghs"
+        "wasGeneratedBy": "niiri:653467354367537g345523efdghs"
       }
     ]
   }
diff --git a/examples/spm_default/coreg_and_segment.json b/examples/spm_default/coreg_and_segment.json
index 3ca000f7f..bc310d974 100644
--- a/examples/spm_default/coreg_and_segment.json
+++ b/examples/spm_default/coreg_and_segment.json
@@ -55,7 +55,7 @@
         ]
       },
       {
-        "@id": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "@id": "niiri:sdfsdofjiosdf",
         "label": "segment",
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
@@ -101,58 +101,58 @@
         "prov:atLocation": "TODO"
       },
       {
-        "@id": "102983fsdkjnfskjdfnks129",
+        "@id": "niiri:102983fsdkjnfskjdfnks129",
         "label": "anat bias corrected",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/"
       },
       {
-        "@id": "fksjndflkqsjnf1290389",
+        "@id": "niiri:ksjndflkqsjnf1290389",
         "label": "tissue1",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,1"
       },
       {
-        "@id": "dsfklsnqfjkdlnqs132",
+        "@id": "niiri:dsfklsnqfjkdlnqs132",
         "label": "tissue2",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,2"
       },
       {
-        "@id": "fdsqljnflqsjfnd1203",
+        "@id": "niiri:fdsqljnflqsjfnd1203",
         "label": "tissue3",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,3"
       },
       {
-        "@id": "fdsqlnfqksjn1290321093",
+        "@id": "niiri:fdsqlnfqksjn1290321093",
         "label": "tissue4",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,4"
       },
       {
-        "@id": "fjkn120932109fdsjk",
+        "@id": "niiri:fjkn120932109fdsjk",
         "label": "tisue5",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,5"
       },
       {
-        "@id": "1903809128fshbfqqcbcbc",
+        "@id": "niiri:19038qqcbcbc",
         "label": "tissue6",
         "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:sdfsdfjoisjdfojsojdofjiosdf",
+        "wasGeneratedBy": "niiri:sdfsdofjiosdf",
         "derivedFrom": "niiri:fsiudfqsoi938409283409fdskj",
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,6"
       }
diff --git a/examples/spm_default/model_and_contrast.json b/examples/spm_default/model_and_contrast.json
index 5be383a15..e5aa3ab27 100644
--- a/examples/spm_default/model_and_contrast.json
+++ b/examples/spm_default/model_and_contrast.json
@@ -27,7 +27,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "11/10/2020 00:02:00",
         "endedAtTime": "11/10/2020 01:02:00",
-        "used": "niiri:fjsdnfkjqnsldf129381290",
+        "used": "niiri:fjsdnf290",
         "attributes": [
           ["timing.units", "secs"],
           ["timing.RT", 2],
@@ -49,7 +49,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "11/11/2020 00:02:00",
         "endedAtTime": "11/11/2020 01:02:00",
-        "used": "niiri:sqj12391209UDJKSNDSJKDQSqsdjn",
+        "used": "niiri:sqj129UDJKSdjn",
         "attributes": [
           ["write_residuals", 0],
           ["method.Classical", 1],
@@ -61,15 +61,15 @@
     ],
     "prov:Entity": [
       {
-        "@id": "niiri:dsjknfdklqnl1029qkfndjknqsd",
+        "@id": "niiri:dsjknl1029d",
         "label": "SPM.mat",
         "prov:atLocation": "TODO",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:fsdfksnf1290883",
-        "derivedFrom": "niiri:fjsdnfkjqnsldf129381290"
+        "derivedFrom": "niiri:fjsdnf290"
       },
       {
-        "@id": "niiri:sqj12391209UDJKSNDSJKDQSqsdjn",
+        "@id": "niiri:sqj129UDJKSdjn",
         "label": "SPM.mat",
         "prov:atLocation": "TODO",
         "wasAttributedTo": "RRID:SCR_007037",
diff --git a/examples/spm_default/normalise.json b/examples/spm_default/normalise.json
index 6f9896497..cabfd6391 100644
--- a/examples/spm_default/normalise.json
+++ b/examples/spm_default/normalise.json
@@ -36,7 +36,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
         "endedAtTime": "10/10/2020 01:00",
-        "used": "102983fsdkjnfskjdfnks129",
+        "used": "niiri:102983fsdkjnfskjdfnks129",
         "attributes": []
       }
     ],
@@ -55,7 +55,7 @@
         "prov:atLocation": "anat_normalised_location.nii",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:fsdknfsqkld123980932",
-        "derivedFrom": "102983fsdkjnfskjdfnks129"
+        "derivedFrom": "niiri:102983fsdkjnfskjdfnks129"
       }
     ]
   }
diff --git a/examples/spm_default/report.json b/examples/spm_default/report.json
index 2d4fdf225..a4c0b6cc8 100644
--- a/examples/spm_default/report.json
+++ b/examples/spm_default/report.json
@@ -27,15 +27,15 @@
         "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhjsf67345523bcs",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:djkfnslknlq1°1°°1°1°"
+        "used": "niiri:djkfnslknlq1°"
       }
     ],
     "prov:Entity": [
       {
-        "@id": "niiri:djkfnslknlq1°1°°1°1°",
+        "@id": "niiri:djkfnslknlq1°",
         "label": "PDF",
         "generatedAt": "2019-10-10T10:00:00",
-        "derivedFrom": "niiri:sqj12391209UDJKSNDSJKDQSqsdjn",
+        "derivedFrom": "niiri:sqj129UDJKSdjn",
         "wasGeneratedBy": "niiri:qkjsnd1283NDQSNKDQ",
         "wasAttributedTo": "niiri:653467354367537gjsfhdgfhjsf67345523bcs"
       }
diff --git a/examples/spm_default/smooth.json b/examples/spm_default/smooth.json
index 514eb81cd..5ae955bc4 100644
--- a/examples/spm_default/smooth.json
+++ b/examples/spm_default/smooth.json
@@ -22,7 +22,7 @@
     ],
     "prov:Activity": [
       {
-        "@id": "niiri:smsmsmsmsmsmsmsm343",
+        "@id": "niiri:smm343",
         "label": "smooth",
         "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhfdsjkn",
         "startedAtTime": "10/10/2020 00:02:00",
@@ -38,11 +38,11 @@
     ],
     "prov:Entity": [
       {
-        "@id": "niiri:fjsdnfkjqnsldf129381290",
+        "@id": "niiri:fjsdnf290",
         "label": "Smoothed functional images",
         "prov:atLocation": "TODO",
         "wasAttributedTo": "niiri:653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy": "niiri:smsmsmsmsmsmsmsm343",
+        "wasGeneratedBy": "niiri:smm343",
         "derivedFrom": "niiri:2378783298182821NDN"
       }
     ]

From c6542a56ed22e0608a8a857ff2677bbbd1fdf9a2 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 22 Sep 2020 19:08:36 +0200
Subject: [PATCH 089/137] SPM : segment activity uses anat nii header entity

---
 bids_prov/visualize.py                      |  9 ++++++---
 examples/spm_default/copies.json            |  2 +-
 examples/spm_default/coreg_and_segment.json |  1 +
 examples/spm_default/normalise.json         |  8 +++-----
 examples/spm_default/realign.json           | 21 ++++++++++-----------
 examples/spm_default/report.json            |  6 +++---
 examples/spm_default/smooth.json            |  4 ++--
 7 files changed, 26 insertions(+), 25 deletions(-)

diff --git a/bids_prov/visualize.py b/bids_prov/visualize.py
index e2218a3df..573bfa530 100644
--- a/bids_prov/visualize.py
+++ b/bids_prov/visualize.py
@@ -25,10 +25,11 @@
     Entity=("atLocation", "generatedAt"),
 )
 
-def viz_turtle(source=None, content=None, img_file=None):
+def viz_turtle(source=None, content=None, img_file=None, **kwargs):
     prov_doc = ProvDocument.deserialize(source=source, content=content, format='rdf', rdf_format='turtle')
 
-    dot = prov_to_dot(prov_doc, use_labels=True)
+    # TODO : show attributes has optional arg
+    dot = prov_to_dot(prov_doc, use_labels=True, show_element_attributes=False, show_relation_attributes=False)
     dot.write_png(img_file)
 
 
@@ -67,8 +68,10 @@ def join_jsonld(lds, graph_key="records", omit_details=True):
     if not len(ctx) == 1:
         raise ValueError(f"jsonlds should have a common context, found {ctx}")
     payload = {"@context" : next(iter(ctx)), graph_key : defaultdict(list)}
-    for ld in lds:
+    for idx, ld in enumerate(lds, start=1):
         graph = ld.get(graph_key, dict())
+        if not graph:
+            warnings.warn(f"no graph found in jsonld file number {idx}")
         for _type, values in graph.items():
             if omit_details and _type[5:] in OPTIONAL_FIELDS.keys():
                 values = [
diff --git a/examples/spm_default/copies.json b/examples/spm_default/copies.json
index fc02a7c4a..7c54b8610 100644
--- a/examples/spm_default/copies.json
+++ b/examples/spm_default/copies.json
@@ -60,7 +60,7 @@
         "wasGeneratedBy": "niiri:6534673543aaaaaaa"
       },
       {
-        "@id": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "@id": "niiri:sjhgdqd",
         "label": "func unzipped",
         "prov:atLocation": "$HOME/nidm-results-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL/*",
         "derivedFrom": "niiri:sjhgdf673gbdsjdfsqjnfd",
diff --git a/examples/spm_default/coreg_and_segment.json b/examples/spm_default/coreg_and_segment.json
index bc310d974..688849f34 100644
--- a/examples/spm_default/coreg_and_segment.json
+++ b/examples/spm_default/coreg_and_segment.json
@@ -60,6 +60,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
         "endedAtTime": "10/10/2020 01:09",
+        "used": "niiri:fsiudfqsoi938409283409fdskj",
         "attributes": [
           ["tissue1.tpm", "$HOME/spm12/tpm/TPM.nii,1"],
           ["tissue1.ngaus", 1],
diff --git a/examples/spm_default/normalise.json b/examples/spm_default/normalise.json
index cabfd6391..f99f65f4d 100644
--- a/examples/spm_default/normalise.json
+++ b/examples/spm_default/normalise.json
@@ -12,7 +12,7 @@
       "hadRole": "Funding"
     }
   },
-  "@graph": {
+  "records": {
     "prov:Agent": [
       {
         "@id": "RRID:SCR_007037",
@@ -27,8 +27,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
         "endedAtTime": "10/10/2020 01:00",
-        "used": "niiri:fdsjnflqj12381U39fdskjnf",
-        "attributes": []
+        "used": "niiri:fdsjnflqj12381U39fdskjnf"
       },
       {
         "@id": "niiri:fsdknfsqkld123980932",
@@ -36,8 +35,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
         "endedAtTime": "10/10/2020 01:00",
-        "used": "niiri:102983fsdkjnfskjdfnks129",
-        "attributes": []
+        "used": "niiri:102983fsdkjnfskjdfnks129"
       }
     ],
     "prov:Entity": [
diff --git a/examples/spm_default/realign.json b/examples/spm_default/realign.json
index fa1ac5d0e..1168faacf 100644
--- a/examples/spm_default/realign.json
+++ b/examples/spm_default/realign.json
@@ -12,23 +12,22 @@
       "hadRole": "Funding"
     }
   },
-  "@graph": {
-    "prov:SoftwareAgent": [
+  "records": {
+    "prov:Agent": [
       {
-        "@id": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "@id": "RRID:SCR_007037",
         "@type": "prov:SoftwareAgent",
-        "RRID": "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_007037/resolver?q=SPM&l=SPM",
         "label": "SPM"
       }
     ],
     "prov:Activity": [
       {
-        "@id": "fdskjfnskjndflqkjndl",
+        "@id": "niiri:fdskjfnskjndflqkjndl",
         "label": "realign",
-        "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:00:00",
         "endedAtTime": "10/10/2020 01:00:00",
-        "used": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "used": "niiri:sjhgdqd",
         "attributes": [
           ["eoptions.quality", 0.9],
           ["eoptions.sep", 4],
@@ -46,10 +45,10 @@
     ],
     "prov:Entity": [
       {
-        "@id": "fdsjnflqj12381U39fdskjnf",
-        "wasAttributedTo": "niiri:653467354367537gjsfhdgfhfdsjkn",
-        "wasGeneratedBy": "fdskjfnskjndflqkjndl",
-        "derivedFrom": "niiri:sjhgdfhfdsqldjkfnlqkjndflqsjfdnlqd",
+        "@id": "niiri:fdsjnflqj12381U39fdskjnf",
+        "wasAttributedTo": "RRID:SCR_007037",
+        "wasGeneratedBy": "niiri:fdskjfnskjndflqkjndl",
+        "derivedFrom": "niiri:sjhgdqd",
         "label": "Realigned func",
         "prov:atLocation": "TODO"
       }
diff --git a/examples/spm_default/report.json b/examples/spm_default/report.json
index a4c0b6cc8..1dfac638e 100644
--- a/examples/spm_default/report.json
+++ b/examples/spm_default/report.json
@@ -24,10 +24,10 @@
       {
         "@id": "niiri:qkjsnd1283NDQSNKDQ",
         "label": "export to PDF",
-        "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhjsf67345523bcs",
+        "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:djkfnslknlq1°"
+        "used": "niiri:sqj129UDJKSdjn"
       }
     ],
     "prov:Entity": [
@@ -37,7 +37,7 @@
         "generatedAt": "2019-10-10T10:00:00",
         "derivedFrom": "niiri:sqj129UDJKSdjn",
         "wasGeneratedBy": "niiri:qkjsnd1283NDQSNKDQ",
-        "wasAttributedTo": "niiri:653467354367537gjsfhdgfhjsf67345523bcs"
+        "wasAttributedTo": "RRID:SCR_007037"
       }
     ]
   }
diff --git a/examples/spm_default/smooth.json b/examples/spm_default/smooth.json
index 5ae955bc4..478e0cb50 100644
--- a/examples/spm_default/smooth.json
+++ b/examples/spm_default/smooth.json
@@ -24,7 +24,7 @@
       {
         "@id": "niiri:smm343",
         "label": "smooth",
-        "wasAssociatedWith": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "10/10/2020 00:02:00",
         "endedAtTime": "10/10/2020 01:02:00",
         "used": "niiri:2378783298182821NDN",
@@ -41,7 +41,7 @@
         "@id": "niiri:fjsdnf290",
         "label": "Smoothed functional images",
         "prov:atLocation": "TODO",
-        "wasAttributedTo": "niiri:653467354367537gjsfhdgfhfdsjkn",
+        "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:smm343",
         "derivedFrom": "niiri:2378783298182821NDN"
       }

From b3d891c34b4f8caac672fa7eeca244b374141681 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Fri, 25 Sep 2020 11:25:08 +0200
Subject: [PATCH 090/137] SPM : single SPM.mat node

---
 examples/spm_default/coreg_and_segment.json  | 12 ++++++------
 examples/spm_default/model_and_contrast.json | 12 ++----------
 examples/spm_default/report.json             |  4 ++--
 3 files changed, 10 insertions(+), 18 deletions(-)

diff --git a/examples/spm_default/coreg_and_segment.json b/examples/spm_default/coreg_and_segment.json
index 688849f34..dc99f5513 100644
--- a/examples/spm_default/coreg_and_segment.json
+++ b/examples/spm_default/coreg_and_segment.json
@@ -110,7 +110,7 @@
         "prov:atLocation": "$HOME/spm12/tpm/"
       },
       {
-        "@id": "niiri:ksjndflkqsjnf1290389",
+        "@id": "niiri:fsiud1",
         "label": "tissue1",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdofjiosdf",
@@ -118,7 +118,7 @@
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,1"
       },
       {
-        "@id": "niiri:dsfklsnqfjkdlnqs132",
+        "@id": "niiri:fsiud2",
         "label": "tissue2",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdofjiosdf",
@@ -126,7 +126,7 @@
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,2"
       },
       {
-        "@id": "niiri:fdsqljnflqsjfnd1203",
+        "@id": "niiri:fsiud3",
         "label": "tissue3",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdofjiosdf",
@@ -134,7 +134,7 @@
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,3"
       },
       {
-        "@id": "niiri:fdsqlnfqksjn1290321093",
+        "@id": "niiri:fsiud4",
         "label": "tissue4",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdofjiosdf",
@@ -142,7 +142,7 @@
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,4"
       },
       {
-        "@id": "niiri:fjkn120932109fdsjk",
+        "@id": "niiri:fsiud5",
         "label": "tisue5",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdofjiosdf",
@@ -150,7 +150,7 @@
         "prov:atLocation": "$HOME/spm12/tpm/TPM.nii,5"
       },
       {
-        "@id": "niiri:19038qqcbcbc",
+        "@id": "niiri:fsiud6",
         "label": "tissue6",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:sdfsdofjiosdf",
diff --git a/examples/spm_default/model_and_contrast.json b/examples/spm_default/model_and_contrast.json
index e5aa3ab27..04ba70e07 100644
--- a/examples/spm_default/model_and_contrast.json
+++ b/examples/spm_default/model_and_contrast.json
@@ -49,7 +49,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "11/11/2020 00:02:00",
         "endedAtTime": "11/11/2020 01:02:00",
-        "used": "niiri:sqj129UDJKSdjn",
+        "used": "niiri:dsjknl1029d",
         "attributes": [
           ["write_residuals", 0],
           ["method.Classical", 1],
@@ -66,15 +66,7 @@
         "prov:atLocation": "TODO",
         "wasAttributedTo": "RRID:SCR_007037",
         "wasGeneratedBy": "niiri:fsdfksnf1290883",
-        "derivedFrom": "niiri:fjsdnf290"
-      },
-      {
-        "@id": "niiri:sqj129UDJKSdjn",
-        "label": "SPM.mat",
-        "prov:atLocation": "TODO",
-        "wasAttributedTo": "RRID:SCR_007037",
-        "wasGeneratedBy": "niiri:fslkjnfsqlkn1203829830912803210",
-        "derivedFrom": "dsjknfdklqnl1029qkfndjknqsd"
+        "prov:wasInfluencedBy": "niiri:fsdfksnf1290883"
       }
     ]
   }
diff --git a/examples/spm_default/report.json b/examples/spm_default/report.json
index 1dfac638e..5b48b6bcc 100644
--- a/examples/spm_default/report.json
+++ b/examples/spm_default/report.json
@@ -27,7 +27,7 @@
         "wasAssociatedWith": "RRID:SCR_007037",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:sqj129UDJKSdjn"
+        "used": "niiri:dsjknl1029d"
       }
     ],
     "prov:Entity": [
@@ -35,7 +35,7 @@
         "@id": "niiri:djkfnslknlq1°",
         "label": "PDF",
         "generatedAt": "2019-10-10T10:00:00",
-        "derivedFrom": "niiri:sqj129UDJKSdjn",
+        "derivedFrom": "niiri:dsjknl1029d",
         "wasGeneratedBy": "niiri:qkjsnd1283NDQSNKDQ",
         "wasAttributedTo": "RRID:SCR_007037"
       }

From 4ed8159267c79c664e002f4b7977df2c384d81d0 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Fri, 25 Sep 2020 11:25:28 +0200
Subject: [PATCH 091/137] SPM : [ADD] batch.m file

---
 examples/spm_default/batch.m | 120 +++++++++++++++++++++++++++++++++++
 1 file changed, 120 insertions(+)
 create mode 100644 examples/spm_default/batch.m

diff --git a/examples/spm_default/batch.m b/examples/spm_default/batch.m
new file mode 100644
index 000000000..2684d3050
--- /dev/null
+++ b/examples/spm_default/batch.m
@@ -0,0 +1,120 @@
+%-----------------------------------------------------------------------
+% Job saved on 15-Mar-2016 14:20:25 by cfg_util (rev $Rev: 6460 $)
+% spm SPM - SPM12 (12.1)
+% cfg_basicio BasicIO - Unknown
+%-----------------------------------------------------------------------
+matlabbatch{1}.cfg_basicio.file_dir.file_ops.file_move.files = {'$HOME/nidmresults-examples/spm_default/ds011/sub-01/func/sub-01_task-tonecounting_bold.nii.gz'};
+matlabbatch{1}.cfg_basicio.file_dir.file_ops.file_move.action.copyto = {'$HOME/nidmresults-examples/spm_default/ds011/PREPROCESSING/FUNCTIONAL'};
+matlabbatch{2}.cfg_basicio.file_dir.file_ops.file_move.files = {'/home/remiadon/nidmresults-examples/spm_default/ds011/sub-01/anat/sub-01_T1w.nii.gz'};
+matlabbatch{2}.cfg_basicio.file_dir.file_ops.file_move.action.copyto = {'/home/remiadon/nidmresults-examples/spm_default/ds011/PREPROCESSING/ANATOMICAL'};
+matlabbatch{3}.cfg_basicio.file_dir.file_ops.cfg_gunzip_files.files(1) = cfg_dep('Move/Delete Files: Moved/Copied Files', substruct('.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','files'));
+matlabbatch{4}.cfg_basicio.file_dir.file_ops.cfg_gunzip_files.files(1) = cfg_dep('Move/Delete Files: Moved/Copied Files', substruct('.','val', '{}',{2}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','files'));
+matlabbatch{5}.spm.spatial.realign.estwrite.data{1}(1) = cfg_dep('GunZip Files: GunZipped Files', substruct('.','val', '{}',{3}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{':'}));
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.quality = 0.9;
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.sep = 4;
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.fwhm = 5;
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.rtm = 1;
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.interp = 2;
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.wrap = [0 0 0];
+matlabbatch{5}.spm.spatial.realign.estwrite.eoptions.weight = '';
+matlabbatch{5}.spm.spatial.realign.estwrite.roptions.which = [0 1];
+matlabbatch{5}.spm.spatial.realign.estwrite.roptions.interp = 4;
+matlabbatch{5}.spm.spatial.realign.estwrite.roptions.wrap = [0 0 0];
+matlabbatch{5}.spm.spatial.realign.estwrite.roptions.mask = 1;
+matlabbatch{5}.spm.spatial.realign.estwrite.roptions.prefix = 'r';
+matlabbatch{6}.spm.spatial.coreg.estimate.ref(1) = cfg_dep('Realign: Estimate & Reslice: Mean Image', substruct('.','val', '{}',{5}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','rmean'));
+matlabbatch{6}.spm.spatial.coreg.estimate.source(1) = cfg_dep('GunZip Files: GunZipped Files', substruct('.','val', '{}',{4}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{':'}));
+matlabbatch{6}.spm.spatial.coreg.estimate.other = {''};
+matlabbatch{6}.spm.spatial.coreg.estimate.eoptions.cost_fun = 'nmi';
+matlabbatch{6}.spm.spatial.coreg.estimate.eoptions.sep = [4 2];
+matlabbatch{6}.spm.spatial.coreg.estimate.eoptions.tol = [0.02 0.02 0.02 0.001 0.001 0.001 0.01 0.01 0.01 0.001 0.001 0.001];
+matlabbatch{6}.spm.spatial.coreg.estimate.eoptions.fwhm = [7 7];
+matlabbatch{7}.spm.spatial.preproc.channel.vols(1) = cfg_dep('GunZip Files: GunZipped Files', substruct('.','val', '{}',{4}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{':'}));
+matlabbatch{7}.spm.spatial.preproc.channel.biasreg = 0.001;
+matlabbatch{7}.spm.spatial.preproc.channel.biasfwhm = 60;
+matlabbatch{7}.spm.spatial.preproc.channel.write = [0 1];
+matlabbatch{7}.spm.spatial.preproc.tissue(1).tpm = {'/home/radon/spm12/tpm/TPM.nii,1'};
+matlabbatch{7}.spm.spatial.preproc.tissue(1).ngaus = 1;
+matlabbatch{7}.spm.spatial.preproc.tissue(1).native = [1 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(1).warped = [0 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(2).tpm = {'/home/radon/spm12/tpm/TPM.nii,2'};
+matlabbatch{7}.spm.spatial.preproc.tissue(2).ngaus = 1;
+matlabbatch{7}.spm.spatial.preproc.tissue(2).native = [1 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(2).warped = [0 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(3).tpm = {'/home/radon/spm12/tpm/TPM.nii,3'};
+matlabbatch{7}.spm.spatial.preproc.tissue(3).ngaus = 2;
+matlabbatch{7}.spm.spatial.preproc.tissue(3).native = [1 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(3).warped = [0 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(4).tpm = {'/home/radon/spm12/tpm/TPM.nii,4'};
+matlabbatch{7}.spm.spatial.preproc.tissue(4).ngaus = 3;
+matlabbatch{7}.spm.spatial.preproc.tissue(4).native = [1 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(4).warped = [0 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(5).tpm = {'/home/radon/spm12/tpm/TPM.nii,5'};
+matlabbatch{7}.spm.spatial.preproc.tissue(5).ngaus = 4;
+matlabbatch{7}.spm.spatial.preproc.tissue(5).native = [1 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(5).warped = [0 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(6).tpm = {'/home/radon/spm12/tpm/TPM.nii,6'};
+matlabbatch{7}.spm.spatial.preproc.tissue(6).ngaus = 2;
+matlabbatch{7}.spm.spatial.preproc.tissue(6).native = [0 0];
+matlabbatch{7}.spm.spatial.preproc.tissue(6).warped = [0 0];
+matlabbatch{7}.spm.spatial.preproc.warp.mrf = 1;
+matlabbatch{7}.spm.spatial.preproc.warp.cleanup = 1;
+matlabbatch{7}.spm.spatial.preproc.warp.reg = [0 0.001 0.5 0.05 0.2];
+matlabbatch{7}.spm.spatial.preproc.warp.affreg = 'mni';
+matlabbatch{7}.spm.spatial.preproc.warp.fwhm = 0;
+matlabbatch{7}.spm.spatial.preproc.warp.samp = 3;
+matlabbatch{7}.spm.spatial.preproc.warp.write = [0 1];
+matlabbatch{8}.spm.spatial.normalise.write.subj.def(1) = cfg_dep('Segment: Forward Deformations', substruct('.','val', '{}',{7}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','fordef', '()',{':'}));
+matlabbatch{8}.spm.spatial.normalise.write.subj.resample(1) = cfg_dep('Realign: Estimate & Reslice: Realigned Images (Sess 1)', substruct('.','val', '{}',{5}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','sess', '()',{1}, '.','cfiles'));
+matlabbatch{8}.spm.spatial.normalise.write.woptions.bb = [-78 -112 -70 78 76 85];
+matlabbatch{8}.spm.spatial.normalise.write.woptions.vox = [2 2 2];
+matlabbatch{8}.spm.spatial.normalise.write.woptions.interp = 4;
+matlabbatch{8}.spm.spatial.normalise.write.woptions.prefix = 'w';
+matlabbatch{9}.spm.spatial.normalise.write.subj.def(1) = cfg_dep('Segment: Forward Deformations', substruct('.','val', '{}',{7}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','fordef', '()',{':'}));
+matlabbatch{9}.spm.spatial.normalise.write.subj.resample(1) = cfg_dep('Segment: Bias Corrected (1)', substruct('.','val', '{}',{7}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','channel', '()',{1}, '.','biascorr', '()',{':'}));
+matlabbatch{9}.spm.spatial.normalise.write.woptions.bb = [-78 -112 -70 78 76 85];
+matlabbatch{9}.spm.spatial.normalise.write.woptions.vox = [2 2 2];
+matlabbatch{9}.spm.spatial.normalise.write.woptions.interp = 4;
+matlabbatch{9}.spm.spatial.normalise.write.woptions.prefix = 'w';
+matlabbatch{10}.spm.spatial.smooth.data(1) = cfg_dep('Normalise: Write: Normalised Images (Subj 1)', substruct('.','val', '{}',{8}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('()',{1}, '.','files'));
+matlabbatch{10}.spm.spatial.smooth.fwhm = [6 6 6];
+matlabbatch{10}.spm.spatial.smooth.dtype = 0;
+matlabbatch{10}.spm.spatial.smooth.im = 0;
+matlabbatch{10}.spm.spatial.smooth.prefix = 's';
+matlabbatch{11}.spm.stats.fmri_spec.dir = {'/storage/essicd/data/NIDM-Ex/BIDS_Data/RESULTS/TEST/nidmresults-examples/spm_voxelwise_p0001'};
+matlabbatch{11}.spm.stats.fmri_spec.timing.units = 'secs';
+matlabbatch{11}.spm.stats.fmri_spec.timing.RT = 2;
+matlabbatch{11}.spm.stats.fmri_spec.timing.fmri_t = 16;
+matlabbatch{11}.spm.stats.fmri_spec.timing.fmri_t0 = 8;
+matlabbatch{11}.spm.stats.fmri_spec.sess.scans(1) = cfg_dep('Smooth: Smoothed Images', substruct('.','val', '{}',{10}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','files'));
+matlabbatch{11}.spm.stats.fmri_spec.sess.cond = struct('name', {}, 'onset', {}, 'duration', {}, 'tmod', {}, 'pmod', {}, 'orth', {});
+matlabbatch{11}.spm.stats.fmri_spec.sess.multi = {'/home/remiadon/nidmresults-examples/spm_default/ds011/SPM/PREPROCESSING/ONSETS/sub-01-MultiCond.mat'};
+matlabbatch{11}.spm.stats.fmri_spec.sess.regress = struct('name', {}, 'val', {});
+matlabbatch{11}.spm.stats.fmri_spec.sess.multi_reg = {''};
+matlabbatch{11}.spm.stats.fmri_spec.sess.hpf = 128;
+matlabbatch{11}.spm.stats.fmri_spec.fact = struct('name', {}, 'levels', {});
+matlabbatch{11}.spm.stats.fmri_spec.bases.hrf.derivs = [0 0];
+matlabbatch{11}.spm.stats.fmri_spec.volt = 1;
+matlabbatch{11}.spm.stats.fmri_spec.global = 'None';
+matlabbatch{11}.spm.stats.fmri_spec.mthresh = 0.8;
+matlabbatch{11}.spm.stats.fmri_spec.mask = {''};
+matlabbatch{11}.spm.stats.fmri_spec.cvi = 'AR(1)';
+matlabbatch{12}.spm.stats.fmri_est.spmmat(1) = cfg_dep('fMRI model specification: SPM.mat File', substruct('.','val', '{}',{11}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','spmmat'));
+matlabbatch{12}.spm.stats.fmri_est.write_residuals = 0;
+matlabbatch{12}.spm.stats.fmri_est.method.Classical = 1;
+matlabbatch{13}.spm.stats.con.spmmat(1) = cfg_dep('Model estimation: SPM.mat File', substruct('.','val', '{}',{12}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','spmmat'));
+matlabbatch{13}.spm.stats.con.consess{1}.tcon.name = 'tone counting vs baseline';
+matlabbatch{13}.spm.stats.con.consess{1}.tcon.weights = [1 0];
+matlabbatch{13}.spm.stats.con.consess{1}.tcon.sessrep = 'none';
+matlabbatch{13}.spm.stats.con.delete = 0;
+matlabbatch{14}.spm.stats.results.spmmat(1) = cfg_dep('Contrast Manager: SPM.mat File', substruct('.','val', '{}',{13}, '.','val', '{}',{1}, '.','val', '{}',{1}), substruct('.','spmmat'));
+matlabbatch{14}.spm.stats.results.conspec.titlestr = '';
+matlabbatch{14}.spm.stats.results.conspec.contrasts = Inf;
+matlabbatch{14}.spm.stats.results.conspec.threshdesc = 'none';
+matlabbatch{14}.spm.stats.results.conspec.thresh = 0.001;
+matlabbatch{14}.spm.stats.results.conspec.extent = 0;
+matlabbatch{14}.spm.stats.results.conspec.conjunction = 1;
+matlabbatch{14}.spm.stats.results.conspec.mask.none = 1;
+matlabbatch{14}.spm.stats.results.units = 1;
+matlabbatch{14}.spm.stats.results.print = 'pdf';
+matlabbatch{14}.spm.stats.results.write.tspm.basename = 'thresh';

From aa9e4573c2c34ab4085ef5aff330eee518d62263 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 13 Oct 2020 11:50:33 +0200
Subject: [PATCH 092/137] fsl default : [FIX] dead nodes

---
 examples/fsl_default/default.json | 55 ++++++++++++++++++++++++++-----
 1 file changed, 47 insertions(+), 8 deletions(-)

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index 4edbc696d..de002da21 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -15,7 +15,7 @@
         "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:sjhgdfhjsgd63q54673aaaaaaaaaaafa"
+        "used": "niiri:dskjn1902"
       },
       {
         "@id": "niiri:qndjnqndnfsdnfnsdf_registration",
@@ -23,7 +23,8 @@
         "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:ksdqndns100201"
+        "used": "niiri:ksdqndns100201",
+        "prov:wasInfluencedBy": "niiri:fsqjklnfqljnfnfnnf_unwarp"
       },
       {
         "@id": "niiri:fsqjklnfqljnfnfnnf_unwarp",
@@ -31,7 +32,8 @@
         "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": "niiri:ksdqndns100201"
+        "used": "niiri:ksdqndns100201",
+        "prov:wasInfluencedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
       },
       {
         "@id": "niiri:fsqjklnfqljnfnfnnf_prestats",
@@ -47,7 +49,19 @@
         "wasAssociatedWith": "RRID:SCR_002823",
         "startedAtTime": "2019-10-10T10:00:00",
         "endedAtTime": "2019-10-10T10:00:00",
-        "used": ["niiri:prestats_output_TODO", "niiri:dfsjnsqkdfnjsn_contrasts"]
+        "used": [
+          "niiri:dfsjnsqkdfnjsn_prestats_output",
+          "niiri:dfsjnsqkdfnjsn_contrasts",
+          "niiri:dfsjnsqkdfnjsn_design_matrix"
+        ]
+      },
+      {
+        "@id": "niiri:sqlspspsppsp_significance_testing",
+        "label": "significance testing",
+        "wasAssociatedWith": "RRID:SCR_002823",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": ["niiri:dskjn1904_zstats", "niiri:dskjn1904_thresh"]
       }
     ],
     "prov:Entity": [
@@ -96,15 +110,40 @@
         "@id": "niiri:dfsjnsqkdfnjsn_contrasts",
         "label": "contrasts",
         "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_00184",
-        "wasGeneratedBy": "niiri:TODO"
+        "attributedTo": "RRID:SCR_00184"
       },
       {
-        "@id": "niiri:dfsjnsqkdfnjsn_todo",
-        "label": "TODO",
+        "@id": "niiri:dfsjnsqkdfnjsn_design_matrix",
+        "label": "Design matrix",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_prestats_output",
+        "label": "Prestats output",
         "prov:atLocation": "TODO",
         "attributedTo": "RRID:SCR_00184",
         "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_prestats"
+      },
+      {
+        "@id": "niiri:dskjn1904_zstats",
+        "label": "zstats.nii.gz",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_002823",
+        "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_stats"
+      },
+      {
+        "@id": "niiri:dskjn1904_thresh",
+        "label": "tresholds",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_002823"
+      },
+      {
+        "@id": "niiri:dskjn1904_results",
+        "label": "results",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_002823",
+        "wasGeneratedBy": "niiri:sqlspspsppsp_significance_testing"
       }
     ]
   }

From f5f90bfc5b9da88ad87e9d95c71741115007d6db Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 13 Oct 2020 14:00:45 +0200
Subject: [PATCH 093/137] fsl default : separate single subject workflow from
 group analysis workflow

---
 examples/fsl_default/default.json             | 49 -------------------
 examples/fsl_default/group_analysis.json      | 35 +++++++++++++
 examples/fsl_default/readme.md                | 22 +++++++--
 .../fsl_default/single_subject_inference.json | 44 +++++++++++++++++
 4 files changed, 98 insertions(+), 52 deletions(-)
 create mode 100644 examples/fsl_default/group_analysis.json
 create mode 100644 examples/fsl_default/single_subject_inference.json

diff --git a/examples/fsl_default/default.json b/examples/fsl_default/default.json
index de002da21..986499705 100644
--- a/examples/fsl_default/default.json
+++ b/examples/fsl_default/default.json
@@ -54,14 +54,6 @@
           "niiri:dfsjnsqkdfnjsn_contrasts",
           "niiri:dfsjnsqkdfnjsn_design_matrix"
         ]
-      },
-      {
-        "@id": "niiri:sqlspspsppsp_significance_testing",
-        "label": "significance testing",
-        "wasAssociatedWith": "RRID:SCR_002823",
-        "startedAtTime": "2019-10-10T10:00:00",
-        "endedAtTime": "2019-10-10T10:00:00",
-        "used": ["niiri:dskjn1904_zstats", "niiri:dskjn1904_thresh"]
       }
     ],
     "prov:Entity": [
@@ -78,27 +70,6 @@
         "attributedTo": "RRID:SCR_002823",
         "wasGeneratedBy": "niiri:sqlspspsppsp20202"
       },
-      {
-        "@id": "niiri:rezoiurozeiuriozuro",
-        "label": "Transformation files",
-        "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_00184",
-        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
-      },
-      {
-        "@id": "niiri:dfsjnsqkdfnjsn_copes",
-        "label": "copes",
-        "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_00184",
-        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
-      },
-      {
-        "@id": "niiri:dfsjnsqkdfnjsn_varcopes",
-        "label": "varcopes",
-        "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_00184",
-        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
-      },
       {
         "@id": "niiri:vbvbbvbv_undistorted_func",
         "label": "un-distorted functional",
@@ -124,26 +95,6 @@
         "prov:atLocation": "TODO",
         "attributedTo": "RRID:SCR_00184",
         "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_prestats"
-      },
-      {
-        "@id": "niiri:dskjn1904_zstats",
-        "label": "zstats.nii.gz",
-        "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_002823",
-        "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_stats"
-      },
-      {
-        "@id": "niiri:dskjn1904_thresh",
-        "label": "tresholds",
-        "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_002823"
-      },
-      {
-        "@id": "niiri:dskjn1904_results",
-        "label": "results",
-        "prov:atLocation": "niiri:TODO",
-        "attributedTo": "RRID:SCR_002823",
-        "wasGeneratedBy": "niiri:sqlspspsppsp_significance_testing"
       }
     ]
   }
diff --git a/examples/fsl_default/group_analysis.json b/examples/fsl_default/group_analysis.json
new file mode 100644
index 000000000..4c2ba5198
--- /dev/null
+++ b/examples/fsl_default/group_analysis.json
@@ -0,0 +1,35 @@
+{
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+  "records": {
+    "prov:Agent": [
+      {
+        "@id": "RRID:SCR_002823",
+        "@type": "prov:SoftwareAgent",
+        "label": "FSL"
+      }
+    ],
+    "prov:Entity": [
+      {
+        "@id": "niiri:rezoiurozeiuriozuro",
+        "label": "Transformation files",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_copes",
+        "label": "copes",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
+      },
+      {
+        "@id": "niiri:dfsjnsqkdfnjsn_varcopes",
+        "label": "varcopes",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_00184",
+        "wasGeneratedBy": "niiri:qndjnqndnfsdnfnsdf_registration"
+      }
+    ]
+  }
+}
diff --git a/examples/fsl_default/readme.md b/examples/fsl_default/readme.md
index 8fdbf5581..47287e67b 100644
--- a/examples/fsl_default/readme.md
+++ b/examples/fsl_default/readme.md
@@ -1,15 +1,31 @@
 ## workflow for "Feat 1 Practical" example
 
-------------------
+---
+
 ### Steps
+
 Tutorial available [here](https://fsl.fmrib.ox.ac.uk/fslcourse/lectures/practicals/feat1/index.html)
 
--------------------
+---
+
 ### Workflow
+
 <center>
 <img src="fsl_default.png" width="90%" position="center">
 </center>
 
---------------------
+---
+
 ### Docker
+
 [This image](https://hub.docker.com/r/vistalab/fsl-v5.0) was used to reproduce experiments
+
+### Generate a graph
+
+from the root of this project
+
+```bash
+python bids_prov/visualize.py examples/fsl_default/default.json examples/fsl_default/single_subject_inference.json -o fsl_default.png
+```
+
+generate the graph dedicated to single subject inference, and skips details regarding group analysis (contained in `examples/fsl_default/group_analysis.json`)
diff --git a/examples/fsl_default/single_subject_inference.json b/examples/fsl_default/single_subject_inference.json
new file mode 100644
index 000000000..ec4de2edc
--- /dev/null
+++ b/examples/fsl_default/single_subject_inference.json
@@ -0,0 +1,44 @@
+{
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+  "records": {
+    "prov:Agent": [
+      {
+        "@id": "RRID:SCR_002823",
+        "@type": "prov:SoftwareAgent",
+        "label": "FSL"
+      }
+    ],
+    "prov:Activity": [
+      {
+        "@id": "niiri:sqlspspsppsp_significance_testing",
+        "label": "significance testing",
+        "wasAssociatedWith": "RRID:SCR_002823",
+        "startedAtTime": "2019-10-10T10:00:00",
+        "endedAtTime": "2019-10-10T10:00:00",
+        "used": ["niiri:dskjn1904_zstats", "niiri:dskjn1904_thresh"]
+      }
+    ],
+    "prov:Entity": [
+      {
+        "@id": "niiri:dskjn1904_zstats",
+        "label": "zstats.nii.gz",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_002823",
+        "wasGeneratedBy": "niiri:fsqjklnfqljnfnfnnf_stats"
+      },
+      {
+        "@id": "niiri:dskjn1904_thresh",
+        "label": "tresholds",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_002823"
+      },
+      {
+        "@id": "niiri:dskjn1904_results",
+        "label": "results",
+        "prov:atLocation": "niiri:TODO",
+        "attributedTo": "RRID:SCR_002823",
+        "wasGeneratedBy": "niiri:sqlspspsppsp_significance_testing"
+      }
+    ]
+  }
+}

From 05cbbe0d9142f46d8a8b8d513cce683e974e77f5 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 13 Oct 2020 14:04:39 +0200
Subject: [PATCH 094/137] update fsl preprocessing.json, seems deprecated

---
 examples/fsl_default/preprocessing.json | 102 ++++++++++++------------
 1 file changed, 51 insertions(+), 51 deletions(-)

diff --git a/examples/fsl_default/preprocessing.json b/examples/fsl_default/preprocessing.json
index 6da21a0e6..70799fafe 100644
--- a/examples/fsl_default/preprocessing.json
+++ b/examples/fsl_default/preprocessing.json
@@ -1,53 +1,53 @@
 {
-  "@context": "https://raw.githubusercontent.com/Inria-Visages/BIDS-prov/master/context.json",
-  "@id": "http://example.org/ds00000X",
-  "generatedAt": "2020-03-10T10:00:00",
-  "wasGeneratedBy": {
-    "@id": "INRIA",
-    "@type": "Project",
-    "startedAt": "2016-09-01T10:00:00",
-    "wasAssociatedWith": { "@id": "NIH",
-                            "@type": "Organization",
-                            "hadRole": "Funding"
-                          }
-    },
-    "@graph": {
-      "prov:SoftwareAgent" : [
-        {
-          "@id" : "maintfeatreg101010",
-          "@type" : "prov:SoftwareAgent",
-          "RRID" : "https://scicrunch.org/resources/Any/record/nlx_144509-1/SCR_001847/resolver?q=FreeSurfer&l=FreeSurfer",
-          "label" : "FSL" 
-        }
-      ],
-      "prov:Activities" : [
-        {
-          "@id" : "fsjknfsdjndf_stage1",
-          "label" : "preprocessing:stage1",
-          "wasAssociatedWith" : "SCR_001847",
-          "bin" : "/usr/share/fsl/5.0/bin/mainfeatreg",
-          "used" : "ndfksjnfsndf_example_func",
-          "attributes" : [
-            ["FEAT version parameter" , 6.00],
-            ["output directory", "/data/fmri1/fluency_task/fmri.feat"],
-            ["logfile" , "/data/fmri1/fluency_task/fmri.feat/logs/feat2_pre"],
-            ["html unwarping report", "/data/fmri1/fluency_task/fmri.feat/report_unwarp.html"],
-            ["html registration report", "/data/fmri1/fluency_task/fmri.feat/report_reg.html"],
-            ["high-res structural image", "/data/fmri1/fluency_task/structural_brain"],
-            ["highres dof", "7"],
-            ["highres search", "90"],
-            ["standard image", "/usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain"],
-            ["standard dof", "12"],
-            ["standard search", "90"]
-          ]
-        }
-      ],
-      "prov:Entities" : [
-        {
-          "@id" : "ndfksjnfsndf_example_func",
-          "label" : "example_func",
-          "prov:atLocation" : "/data/fmri1/fluency_task/fmri.feat/example_func.nii.gz"
-        }
-      ]
+  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+  "records": {
+    "prov:Agent": [
+      {
+        "@id": "RRID:SCR_002823",
+        "@type": "prov:SoftwareAgent",
+        "label": "FSL"
+      }
+    ],
+    "prov:Activity": [
+      {
+        "@id": "niiri:fsjknfsdjndf_stage1",
+        "label": "stage1",
+        "wasAssociatedWith": "RRID:SCR_002823",
+        "bin": "/usr/share/fsl/5.0/bin/mainfeatreg",
+        "used": "niiri:ndfksjnfsndf_example_func",
+        "attributes": [
+          ["FEAT version parameter", 6.0],
+          ["output directory", "/data/fmri1/fluency_task/fmri.feat"],
+          ["logfile", "/data/fmri1/fluency_task/fmri.feat/logs/feat2_pre"],
+          [
+            "html unwarping report",
+            "/data/fmri1/fluency_task/fmri.feat/report_unwarp.html"
+          ],
+          [
+            "html registration report",
+            "/data/fmri1/fluency_task/fmri.feat/report_reg.html"
+          ],
+          [
+            "high-res structural image",
+            "/data/fmri1/fluency_task/structural_brain"
+          ],
+          ["highres dof", "7"],
+          ["highres search", "90"],
+          [
+            "standard image",
+            "/usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain"
+          ],
+          ["standard dof", "12"],
+          ["standard search", "90"]
+        ]
+      }
+    ],
+    "prov:Entity": [
+      {
+        "@id": "niiri:ndfksjnfsndf_example_func",
+        "label": "example_func",
+        "prov:atLocation": "/data/fmri1/fluency_task/fmri.feat/example_func.nii.gz"
+      }
+    ]
   }
-}
\ No newline at end of file
+}

From af70a960d9f7f288effc7de4ada2dc8a34963113 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 13 Oct 2020 14:05:33 +0200
Subject: [PATCH 095/137] [RM] fsl preprocessing, deprecated

---
 examples/fsl_default/preprocessing.json | 53 -------------------------
 1 file changed, 53 deletions(-)
 delete mode 100644 examples/fsl_default/preprocessing.json

diff --git a/examples/fsl_default/preprocessing.json b/examples/fsl_default/preprocessing.json
deleted file mode 100644
index 70799fafe..000000000
--- a/examples/fsl_default/preprocessing.json
+++ /dev/null
@@ -1,53 +0,0 @@
-{
-  "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
-  "records": {
-    "prov:Agent": [
-      {
-        "@id": "RRID:SCR_002823",
-        "@type": "prov:SoftwareAgent",
-        "label": "FSL"
-      }
-    ],
-    "prov:Activity": [
-      {
-        "@id": "niiri:fsjknfsdjndf_stage1",
-        "label": "stage1",
-        "wasAssociatedWith": "RRID:SCR_002823",
-        "bin": "/usr/share/fsl/5.0/bin/mainfeatreg",
-        "used": "niiri:ndfksjnfsndf_example_func",
-        "attributes": [
-          ["FEAT version parameter", 6.0],
-          ["output directory", "/data/fmri1/fluency_task/fmri.feat"],
-          ["logfile", "/data/fmri1/fluency_task/fmri.feat/logs/feat2_pre"],
-          [
-            "html unwarping report",
-            "/data/fmri1/fluency_task/fmri.feat/report_unwarp.html"
-          ],
-          [
-            "html registration report",
-            "/data/fmri1/fluency_task/fmri.feat/report_reg.html"
-          ],
-          [
-            "high-res structural image",
-            "/data/fmri1/fluency_task/structural_brain"
-          ],
-          ["highres dof", "7"],
-          ["highres search", "90"],
-          [
-            "standard image",
-            "/usr/share/fsl/5.0/data/standard/MNI152_T1_2mm_brain"
-          ],
-          ["standard dof", "12"],
-          ["standard search", "90"]
-        ]
-      }
-    ],
-    "prov:Entity": [
-      {
-        "@id": "niiri:ndfksjnfsndf_example_func",
-        "label": "example_func",
-        "prov:atLocation": "/data/fmri1/fluency_task/fmri.feat/example_func.nii.gz"
-      }
-    ]
-  }
-}

From 6e424dc1955808e3cb077a67a62c8cd87936bbb2 Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 13 Oct 2020 14:07:38 +0200
Subject: [PATCH 096/137] clean fsl_default folder

---
 examples/fsl_default/test_diplay_graphs.ipynb | 180 ------------------
 .../viz_examples/jsonld11_example.jsonld      |  16 --
 .../fsl_default/viz_examples/ttl_example.ttl  |  10 -
 3 files changed, 206 deletions(-)
 delete mode 100644 examples/fsl_default/test_diplay_graphs.ipynb
 delete mode 100644 examples/fsl_default/viz_examples/jsonld11_example.jsonld
 delete mode 100644 examples/fsl_default/viz_examples/ttl_example.ttl

diff --git a/examples/fsl_default/test_diplay_graphs.ipynb b/examples/fsl_default/test_diplay_graphs.ipynb
deleted file mode 100644
index 792078b2a..000000000
--- a/examples/fsl_default/test_diplay_graphs.ipynb
+++ /dev/null
@@ -1,180 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Vizualizing turtle as a PROV graph"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "from prov.model import ProvDocument\n",
-    "from prov.dot import prov_to_dot\n",
-    "from IPython.display import Image, display\n",
-    "import requests\n",
-    "import os"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def viz_turtle(source=None, content=None, img_file=None, disp=True):\n",
-    "    prov_doc = ProvDocument.deserialize(source=source, content=content, format='rdf', rdf_format='turtle')\n",
-    "\n",
-    "    dot = prov_to_dot(prov_doc, use_labels=True)\n",
-    "    dot.write_png(img_file)\n",
-    "\n",
-    "    if disp:\n",
-    "        img = Image(img_file)\n",
-    "        display(img)\n",
-    "\n",
-    "ttl_file = os.path.join('viz_examples', 'ttl_example.ttl')\n",
-    "viz_turtle(ttl_file, img_file='turtle-prov.png')"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Create equivalent JSON-LD 1.1 from turtle"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Create JSON-LD 1.1 version\n",
-    "jsonld11_file = os.path.join('viz_examples', 'jsonld11_example.jsonld')\n",
-    "\n",
-    "import rdflib as rl\n",
-    "import pyld as ld\n",
-    "import json\n",
-    "\n",
-    "g = rl.ConjunctiveGraph()\n",
-    "g.parse(ttl_file, format='turtle')\n",
-    "g2 = g.serialize(format='json-ld')\n",
-    "\n",
-    "foo = ld.jsonld.compact(json.loads(g2), \n",
-    "                        'https://raw.githubusercontent.com/incf-nidash/nidm/master/nidm/nidm-results/terms/nidmr.json')\n",
-    "\n",
-    "with open(jsonld11_file, 'w') as out_file:\n",
-    "     out_file.write(json.dumps(foo, indent=2))"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Create vizualisation from JSON-LD 1.1"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "def viz_jsonld11(jsonld11_file, img_file, disp=True):\n",
-    "    url_context11 = json.load(open(jsonld11_file))\n",
-    "\n",
-    "    req_context_11 = requests.get(url=url_context11['@context'])\n",
-    "    context_11 = req_context_11.json()\n",
-    "\n",
-    "    context_10 = {k: v for k,v in context_11['@context'].items() if k not in {'@version', 'records'}}\n",
-    "\n",
-    "    # Load graph from json-ld file as non 1.1 JSON-LD \n",
-    "    aa=ld.jsonld.compact(\n",
-    "        json.load(open(jsonld11_file, 'r')), \n",
-    "        context_10)\n",
-    "\n",
-    "    g = rl.ConjunctiveGraph()\n",
-    "    g.parse(data=json.dumps(aa, indent=2), format='json-ld')\n",
-    "\n",
-    "    viz_turtle(content=g.serialize(format='turtle').decode(), img_file=img_file, disp=disp)\n",
-    "    \n",
-    "viz_jsonld11(jsonld11_file, img_file=os.path.join('viz_examples', 'jsonld11-prov.png'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 7,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<IPython.core.display.Image object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# An example with default.json\n",
-    "viz_jsonld11('default.json', img_file='fsl_default-prov.png')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "kernelspec": {
-   "display_name": "bids_prov",
-   "language": "python",
-   "name": "bids_prov"
-  },
-  "language_info": {
-   "codemirror_mode": {
-    "name": "ipython",
-    "version": 3
-   },
-   "file_extension": ".py",
-   "mimetype": "text/x-python",
-   "name": "python",
-   "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython3",
-   "version": "3.7.0"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}
diff --git a/examples/fsl_default/viz_examples/jsonld11_example.jsonld b/examples/fsl_default/viz_examples/jsonld11_example.jsonld
deleted file mode 100644
index 72d6546a5..000000000
--- a/examples/fsl_default/viz_examples/jsonld11_example.jsonld
+++ /dev/null
@@ -1,16 +0,0 @@
-{
-  "@context": "https://raw.githubusercontent.com/incf-nidash/nidm/master/nidm/nidm-results/terms/nidmr.json",
-  "records": {
-    "prov:Entity": {
-      "@id": "niiri:my_entity_id",
-      "label": "My beautiful entity"
-    },
-    "prov:Activity": {
-      "@id": "niiri:my_activity_id",
-      "prov:used": {
-        "@id": "niiri:my_entity_id"
-      }
-    }
-  },
-  "@id": "file:///Users/camaumet/Softs/BIDS-prov/examples/fsl_default/viz_examples/ttl_example.ttl"
-}
\ No newline at end of file
diff --git a/examples/fsl_default/viz_examples/ttl_example.ttl b/examples/fsl_default/viz_examples/ttl_example.ttl
deleted file mode 100644
index 740803e9e..000000000
--- a/examples/fsl_default/viz_examples/ttl_example.ttl
+++ /dev/null
@@ -1,10 +0,0 @@
-@prefix prov: <http://www.w3.org/ns/prov#> .
-@prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#> .
-@prefix niiri: <http://iri.nidash.org/> .
-@prefix xsd: <http://www.w3.org/2001/XMLSchema#> .
-
-niiri:my_entity_id a prov:Entity ;
-	rdfs:label "My beautiful entity"^^xsd:string;  .
-
-niiri:my_activity_id a prov:Activity ;
-	prov:used niiri:my_entity_id .
\ No newline at end of file

From 1a13e3dcca3da35e993daee269e29bf10431370f Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Tue, 13 Oct 2020 14:19:18 +0200
Subject: [PATCH 097/137] fsl_default replace .png by generated graph

---
 examples/fsl_default/fsl_default.png | Bin 217601 -> 197966 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/examples/fsl_default/fsl_default.png b/examples/fsl_default/fsl_default.png
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From 636089cc3e280ecda1d62f31f671b237aae9dabe Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Wed, 14 Oct 2020 15:07:16 +0200
Subject: [PATCH 098/137] [ADD] .png for spm_default

---
 .gitignore                           |   1 -
 examples/spm_default/spm_default.png | Bin 0 -> 439897 bytes
 2 files changed, 1 deletion(-)
 create mode 100644 examples/spm_default/spm_default.png

diff --git a/.gitignore b/.gitignore
index a4221ad61..7eb51b4db 100644
--- a/.gitignore
+++ b/.gitignore
@@ -9,4 +9,3 @@ settings.json
 *.DS_Store
 *.ipynb_checkpoints
 
-*.png
\ No newline at end of file
diff --git a/examples/spm_default/spm_default.png b/examples/spm_default/spm_default.png
new file mode 100644
index 0000000000000000000000000000000000000000..e0cdd578ca9d2ce8888890e9c0b203e3d26f5fd3
GIT binary patch
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From 76bd4694b70bec7308bd84104552801e7094e65d Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Wed, 14 Oct 2020 15:16:53 +0200
Subject: [PATCH 099/137] [ADD] isInfluencedBy in new_features

---
 new_features.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/new_features.md b/new_features.md
index 782219a8b..e11306b83 100644
--- a/new_features.md
+++ b/new_features.md
@@ -6,3 +6,4 @@ List of all features you can find in `examples/*.json` files, but are not mentio
 - Activity definitions, instead of just Agent and Entities
 - Activities attributes defined via key/value list-like pairs, allowing to pass unstructured extra information
 - Activities "used" field allow multiple entries : multiple entities as input
+- [prov:wasInfluencedBy](https://www.w3.org/TR/prov-o/#wasInfluencedBy) to represent inplace edition of an entity, instead of outputting a new entity (a new "state" of the former entity) and a new Activity corresponding to the edition. This is to encourage human readable representations, as the number of nodes is reduced.

From ae0a67e73814b075c3492bb2e521ed9704ac125f Mon Sep 17 00:00:00 2001
From: radon <remi.adon@gmail.com>
Date: Wed, 28 Oct 2020 15:18:17 +0100
Subject: [PATCH 100/137] first draft for fMRIprep

---
 examples/fmriprep/structural_MRI.json    | 113 +++++++++++++++++++++++
 examples/fmriprep/structural_MRI.png     | Bin 0 -> 96966 bytes
 examples/fmriprep/structural_MRI_doc.png | Bin 0 -> 200811 bytes
 3 files changed, 113 insertions(+)
 create mode 100644 examples/fmriprep/structural_MRI.json
 create mode 100644 examples/fmriprep/structural_MRI.png
 create mode 100644 examples/fmriprep/structural_MRI_doc.png

diff --git a/examples/fmriprep/structural_MRI.json b/examples/fmriprep/structural_MRI.json
new file mode 100644
index 000000000..f0303e3f3
--- /dev/null
+++ b/examples/fmriprep/structural_MRI.json
@@ -0,0 +1,113 @@
+{
+    "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+    "records": {
+      "prov:Agent": [
+        {
+          "@id": "RRID:SCR_002823",
+          "@type": "prov:SoftwareAgent",
+          "label": "FSL"
+        },
+        {
+            "@id": "RRID:SCR_016216",
+            "@type": "prov:SoftwareAgent",
+            "label": "FMRIPREP"
+        }
+      ],
+      "prov:Activity": [
+        {
+            "@id": "niiri:1489292_realign",
+            "label": "Realign T1w images",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        },
+        {
+            "@id": "niiri:1489292_average",
+            "label": "Average T1w images",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        },
+        {
+            "@id": "niiri:1489292_extract",
+            "label": "Brain extraction",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        },
+        {
+            "@id": "niiri:1489292_correct",
+            "label": "INU (bias field) correction",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        },
+        {
+            "@id": "niiri:1489292_segment",
+            "label": "Brain tissue segmentation",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        },
+        {
+            "@id": "niiri:1489292_spacenorm",
+            "label": "Spatial normalization",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        },
+        {
+            "@id": "niiri:1489292_surface_reconstruct",
+            "label": "Surface reconstruction",
+            "wasAssociatedWith": "RRID:SCR_002823",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00",
+            "used": "niiri:TODO"
+        }
+      ],
+      "prov:Entity": [
+        {
+            "@id": "niiri:dsk1928",
+            "label": "t1w",
+            "prov:atLocation": "niiri:bids-input-dir/T1/*.nii.gz",
+            "attributedTo": "RRID:SCR_016216"
+        },
+        {
+            "@id": "niiri:dsk1929",
+            "label": "t2w",
+            "prov:atLocation": "niiri:bids-input-dir/T2/*.nii.gz",
+            "attributedTo": "RRID:SCR_016216"
+        },
+        {
+            "@id": "niiri:dsk1930",
+            "label": "t1w_preproc",
+            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_T1w_preproc.nii.gz",
+            "attributedTo": "RRID:SCR_016216"
+        },
+        {
+            "@id": "niiri:dsk1931",
+            "label": "brainmask",
+            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_brainmask.nii.gz",
+            "attributedTo": "RRID:SCR_016216"
+        },
+        {
+            "@id": "niiri:dsk1932",
+            "label": "class_probtissue",
+            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_class<CSF/WM/GM>.nii.gz",
+            "attributedTo": "RRID:SCR_016216"
+        },
+        {
+            "@id": "niiri:dsk1933",
+            "label": "TODO",
+            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_label-aparaseg_roi.nii.gz",
+            "attributedTo": "RRID:SCR_016216"
+        }
+      ]
+    }
+}
\ No newline at end of file
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From c23b1bd0a6d787e24a7d3525ca6387c7dd0a98a0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 5 Nov 2020 14:46:04 +0100
Subject: [PATCH 101/137] simplify fmriprep example

---
 examples/fmriprep/simple.json                 |  35 ++++++
 .../{structural_MRI.png => simple.png}        | Bin
 examples/fmriprep/structural_MRI.json         | 113 ------------------
 requirements.txt                              |   1 +
 4 files changed, 36 insertions(+), 113 deletions(-)
 create mode 100644 examples/fmriprep/simple.json
 rename examples/fmriprep/{structural_MRI.png => simple.png} (100%)
 delete mode 100644 examples/fmriprep/structural_MRI.json

diff --git a/examples/fmriprep/simple.json b/examples/fmriprep/simple.json
new file mode 100644
index 000000000..1ba4d78c1
--- /dev/null
+++ b/examples/fmriprep/simple.json
@@ -0,0 +1,35 @@
+{
+    "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+    "records": {
+      "prov:Agent": [
+        {
+          "@id": "RRID:SCR_002823",
+          "@type": "prov:SoftwareAgent",
+          "label": "FSL mcflirt"
+        },
+        {
+            "@id": "RRID:SCR_016216",
+            "@type": "prov:SoftwareAgent",
+            "label": "fMRIprep"
+        }
+      ],
+      "prov:Activity": [
+        {
+            "@id": "niiri:1489292_call",
+            "label": "fMRIprep process",
+            "wasAssociatedWith": "RRID:SCR_016216",
+            "startedAtTime": "2019-10-10T10:00:00",
+            "endedAtTime": "2019-10-10T10:00:00"
+        }
+      ],
+      "prov:Entity": [
+        {
+            "@id": "niiri:dsk100010",
+            "label": "preprocessed functional images",
+            "prov:atLocation": "niiri:bids-input-dir/T1/*.nii.gz",
+            "attributedTo": "RRID:SCR_016216",
+            "wasGeneratedBy": "niiri:1489292_call"
+        }
+      ]
+    }
+}
\ No newline at end of file
diff --git a/examples/fmriprep/structural_MRI.png b/examples/fmriprep/simple.png
similarity index 100%
rename from examples/fmriprep/structural_MRI.png
rename to examples/fmriprep/simple.png
diff --git a/examples/fmriprep/structural_MRI.json b/examples/fmriprep/structural_MRI.json
deleted file mode 100644
index f0303e3f3..000000000
--- a/examples/fmriprep/structural_MRI.json
+++ /dev/null
@@ -1,113 +0,0 @@
-{
-    "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
-    "records": {
-      "prov:Agent": [
-        {
-          "@id": "RRID:SCR_002823",
-          "@type": "prov:SoftwareAgent",
-          "label": "FSL"
-        },
-        {
-            "@id": "RRID:SCR_016216",
-            "@type": "prov:SoftwareAgent",
-            "label": "FMRIPREP"
-        }
-      ],
-      "prov:Activity": [
-        {
-            "@id": "niiri:1489292_realign",
-            "label": "Realign T1w images",
-            "wasAssociatedWith": "RRID:SCR_016216",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        },
-        {
-            "@id": "niiri:1489292_average",
-            "label": "Average T1w images",
-            "wasAssociatedWith": "RRID:SCR_016216",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        },
-        {
-            "@id": "niiri:1489292_extract",
-            "label": "Brain extraction",
-            "wasAssociatedWith": "RRID:SCR_016216",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        },
-        {
-            "@id": "niiri:1489292_correct",
-            "label": "INU (bias field) correction",
-            "wasAssociatedWith": "RRID:SCR_016216",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        },
-        {
-            "@id": "niiri:1489292_segment",
-            "label": "Brain tissue segmentation",
-            "wasAssociatedWith": "RRID:SCR_016216",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        },
-        {
-            "@id": "niiri:1489292_spacenorm",
-            "label": "Spatial normalization",
-            "wasAssociatedWith": "RRID:SCR_016216",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        },
-        {
-            "@id": "niiri:1489292_surface_reconstruct",
-            "label": "Surface reconstruction",
-            "wasAssociatedWith": "RRID:SCR_002823",
-            "startedAtTime": "2019-10-10T10:00:00",
-            "endedAtTime": "2019-10-10T10:00:00",
-            "used": "niiri:TODO"
-        }
-      ],
-      "prov:Entity": [
-        {
-            "@id": "niiri:dsk1928",
-            "label": "t1w",
-            "prov:atLocation": "niiri:bids-input-dir/T1/*.nii.gz",
-            "attributedTo": "RRID:SCR_016216"
-        },
-        {
-            "@id": "niiri:dsk1929",
-            "label": "t2w",
-            "prov:atLocation": "niiri:bids-input-dir/T2/*.nii.gz",
-            "attributedTo": "RRID:SCR_016216"
-        },
-        {
-            "@id": "niiri:dsk1930",
-            "label": "t1w_preproc",
-            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_T1w_preproc.nii.gz",
-            "attributedTo": "RRID:SCR_016216"
-        },
-        {
-            "@id": "niiri:dsk1931",
-            "label": "brainmask",
-            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_brainmask.nii.gz",
-            "attributedTo": "RRID:SCR_016216"
-        },
-        {
-            "@id": "niiri:dsk1932",
-            "label": "class_probtissue",
-            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_class<CSF/WM/GM>.nii.gz",
-            "attributedTo": "RRID:SCR_016216"
-        },
-        {
-            "@id": "niiri:dsk1933",
-            "label": "TODO",
-            "prov:atLocation": "niiri:fmriprep/sub-01/anat/_label-aparaseg_roi.nii.gz",
-            "attributedTo": "RRID:SCR_016216"
-        }
-      ]
-    }
-}
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index 38a405702..463734113 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,3 +4,4 @@ prov
 rdflib-jsonld
 pyld
 pydot
+requests
\ No newline at end of file

From f0e7d56cfca4f91dade2b5a9e1a0c47bdb8288db Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 5 Nov 2020 14:48:04 +0100
Subject: [PATCH 102/137] update fmriprep .png

---
 examples/fmriprep/simple.png | Bin 96966 -> 28072 bytes
 1 file changed, 0 insertions(+), 0 deletions(-)

diff --git a/examples/fmriprep/simple.png b/examples/fmriprep/simple.png
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K^sDup?)(Q-HXWk?


From c8820802563a9ca2390495f1079be33e46f3490d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Wed, 3 Feb 2021 18:51:56 +0100
Subject: [PATCH 103/137] v0 for spm parser

---
 bids_prov/spm_parser.py | 116 ++++++++++++++++++++++++++++++++++++++++
 1 file changed, 116 insertions(+)
 create mode 100644 bids_prov/spm_parser.py

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
new file mode 100644
index 000000000..44b80dba0
--- /dev/null
+++ b/bids_prov/spm_parser.py
@@ -0,0 +1,116 @@
+import os
+import sys
+import click
+import json
+import re
+
+from collections import defaultdict
+import pyld as ld
+import warnings
+
+dir_path = os.path.dirname(os.path.realpath(__file__))
+
+import random
+import string
+
+get_id = lambda : ''.join(random.choice(string.ascii_letters) for i in range(10))
+
+def realines(filename):
+    with open(filename) as fd:
+        for line in fd:
+            if line.startswith('matlabbatch'):
+                yield line[:-1]  # remove "\n"
+
+
+def group_lines(lines):
+    res = defaultdict(list)
+    key = lambda line: re.finditer(r"\{\d+\}", line)
+    for line in lines:
+        a = next(re.finditer(r"\{\d+\}", line), None)
+        b = line.split('.')[2]
+        if a and b:
+            g = a.group()
+            k = (b, g)
+            res[k].append(line[len(f"matlabbatch{g}."):])
+
+    return dict(res)
+
+def get_records(task_groups, records=defaultdict(list)):
+    entities_ids = set()
+    for _, values in task_groups.items():
+        activity_name = ''.join(_)
+        activity_id = "niiri:" + activity_name + get_id()
+        activity = {
+            "@id" : activity_id,
+            "label" : ''.join(activity_name),
+        }
+        # TODO : add time to activity
+        import pdb; pdb.set_trace()
+        used = list()
+        entities = []
+        for v in values:
+            entity_split = v.split(' = ')
+            if len(entity_split) == 2:
+                left, right = entity_split
+                entity_label = left.split('/')[-1].split('.')[0]
+                entity = {
+                    "@id" : "niiri:" + entity_label + get_id(),
+                    "label": entity_label,   
+                    "prov:atLocation": right[2:-3],
+                    "wasGeneratedBy": activity_id,
+                }
+
+                entities.append(entity)
+
+        activity['used'] = [e["@id"] for e in entities]
+        records["prov:Activity"].append(activity)
+        for e in entities:
+            if e["@id"] not in entities_ids:
+                records["prov:Entity"].append(e)
+            entities_ids.add(e["@id"])
+
+        
+    return records
+
+
+
+@click.command()
+@click.argument('filenames', nargs=-1)
+@click.option('--output-file', '-o', required=True)
+def spm_to_bids_prov(filenames, output_file):
+    filename = filenames[0]  # FIXME
+
+    base_graph = {
+        "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+        "@id": "http://example.org/ds00000X",
+        "generatedAt": "2020-03-10T10:00:00",
+        "wasGeneratedBy": {  # TODO : change this
+            "@id": "INRIA",
+            "@type": "Project",
+            "startedAt": "2016-09-01T10:00:00",
+            "wasAssociatedWith": {
+                "@id": "NIH",
+                "@type": "Organization",
+                "hadRole": "Funding"
+            }
+        },
+        "records": {
+            "prov:Agent": [],
+            "prov:Activity": [],
+            "prov:Entity": [],
+        }
+    }
+
+    lines = realines(filename)
+    tasks = group_lines(lines)
+    graph = get_records(tasks)
+
+
+    with open(output_file, 'r') as fd:
+        json.dump(graph)
+
+    
+
+
+if __name__ == '__main__':
+    sys.exit(spm_to_bids_prov())
\ No newline at end of file

From b6584cdec74c8a88cd8c34fbfc3a5b4df4bd598b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Wed, 3 Feb 2021 19:13:02 +0100
Subject: [PATCH 104/137] [FIX] output production

---
 bids_prov/spm_parser.py | 20 ++++++++++++--------
 1 file changed, 12 insertions(+), 8 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 44b80dba0..1bfc2b33d 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -45,7 +45,7 @@ def get_records(task_groups, records=defaultdict(list)):
             "label" : ''.join(activity_name),
         }
         # TODO : add time to activity
-        import pdb; pdb.set_trace()
+        #import pdb; pdb.set_trace()
         used = list()
         entities = []
         for v in values:
@@ -69,7 +69,7 @@ def get_records(task_groups, records=defaultdict(list)):
                 records["prov:Entity"].append(e)
             entities_ids.add(e["@id"])
 
-        
+
     return records
 
 
@@ -80,7 +80,7 @@ def get_records(task_groups, records=defaultdict(list)):
 def spm_to_bids_prov(filenames, output_file):
     filename = filenames[0]  # FIXME
 
-    base_graph = {
+    graph = {
         "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
         "@id": "http://example.org/ds00000X",
         "generatedAt": "2020-03-10T10:00:00",
@@ -95,7 +95,11 @@ def spm_to_bids_prov(filenames, output_file):
             }
         },
         "records": {
-            "prov:Agent": [],
+            "prov:Agent": [{
+                "@id": "RRID:SCR_007037",  # TODO query for version
+                "@type": "prov:SoftwareAgent",
+                "label": "SPM"
+            }],
             "prov:Activity": [],
             "prov:Entity": [],
         }
@@ -103,11 +107,11 @@ def spm_to_bids_prov(filenames, output_file):
 
     lines = realines(filename)
     tasks = group_lines(lines)
-    graph = get_records(tasks)
-
+    records = get_records(tasks)
+    graph["records"].update(records)
 
-    with open(output_file, 'r') as fd:
-        json.dump(graph)
+    with open(output_file, 'w') as fd:
+        json.dump(graph, fd, indent=2)
 
     
 

From c2a4c290e744c13b3ce7c6f2cce9cad2aee0e7a8 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Wed, 3 Feb 2021 19:26:14 +0100
Subject: [PATCH 105/137] black spm_parser

---
 .pre-commit-config.yaml |  6 ++++
 bids_prov/spm_parser.py | 65 +++++++++++++++++++----------------------
 dev-requirements.txt    |  2 ++
 3 files changed, 38 insertions(+), 35 deletions(-)
 create mode 100644 .pre-commit-config.yaml
 create mode 100644 dev-requirements.txt

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
new file mode 100644
index 000000000..4186ac89b
--- /dev/null
+++ b/.pre-commit-config.yaml
@@ -0,0 +1,6 @@
+repos:
+-   repo: https://github.com/python/black
+    rev: stable
+    hooks:
+    - id: black
+      language_version: python3.7
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 1bfc2b33d..035508301 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -1,24 +1,20 @@
-import os
 import sys
 import click
 import json
 import re
 
 from collections import defaultdict
-import pyld as ld
-import warnings
-
-dir_path = os.path.dirname(os.path.realpath(__file__))
 
 import random
 import string
 
-get_id = lambda : ''.join(random.choice(string.ascii_letters) for i in range(10))
+get_id = lambda: "".join(random.choice(string.ascii_letters) for i in range(10))
+
 
 def realines(filename):
     with open(filename) as fd:
         for line in fd:
-            if line.startswith('matlabbatch'):
+            if line.startswith("matlabbatch"):
                 yield line[:-1]  # remove "\n"
 
 
@@ -27,56 +23,55 @@ def group_lines(lines):
     key = lambda line: re.finditer(r"\{\d+\}", line)
     for line in lines:
         a = next(re.finditer(r"\{\d+\}", line), None)
-        b = line.split('.')[2]
+        b = line.split(".")[2]
         if a and b:
             g = a.group()
             k = (b, g)
-            res[k].append(line[len(f"matlabbatch{g}."):])
+            res[k].append(line[len(f"matlabbatch{g}.") :])
 
     return dict(res)
 
+
 def get_records(task_groups, records=defaultdict(list)):
     entities_ids = set()
     for _, values in task_groups.items():
-        activity_name = ''.join(_)
+        activity_name = "".join(_)
         activity_id = "niiri:" + activity_name + get_id()
         activity = {
-            "@id" : activity_id,
-            "label" : ''.join(activity_name),
+            "@id": activity_id,
+            "label": "".join(activity_name),
         }
         # TODO : add time to activity
-        #import pdb; pdb.set_trace()
+        # import pdb; pdb.set_trace()
         used = list()
         entities = []
         for v in values:
-            entity_split = v.split(' = ')
+            entity_split = v.split(" = ")
             if len(entity_split) == 2:
                 left, right = entity_split
-                entity_label = left.split('/')[-1].split('.')[0]
+                entity_label = left.split("/")[-1].split(".")[0]
                 entity = {
-                    "@id" : "niiri:" + entity_label + get_id(),
-                    "label": entity_label,   
+                    "@id": "niiri:" + entity_label + get_id(),
+                    "label": entity_label,
                     "prov:atLocation": right[2:-3],
                     "wasGeneratedBy": activity_id,
                 }
 
                 entities.append(entity)
 
-        activity['used'] = [e["@id"] for e in entities]
+        activity["used"] = [e["@id"] for e in entities]
         records["prov:Activity"].append(activity)
         for e in entities:
             if e["@id"] not in entities_ids:
                 records["prov:Entity"].append(e)
             entities_ids.add(e["@id"])
 
-
     return records
 
 
-
 @click.command()
-@click.argument('filenames', nargs=-1)
-@click.option('--output-file', '-o', required=True)
+@click.argument("filenames", nargs=-1)
+@click.option("--output-file", "-o", required=True)
 def spm_to_bids_prov(filenames, output_file):
     filename = filenames[0]  # FIXME
 
@@ -91,18 +86,20 @@ def spm_to_bids_prov(filenames, output_file):
             "wasAssociatedWith": {
                 "@id": "NIH",
                 "@type": "Organization",
-                "hadRole": "Funding"
-            }
+                "hadRole": "Funding",
+            },
         },
         "records": {
-            "prov:Agent": [{
-                "@id": "RRID:SCR_007037",  # TODO query for version
-                "@type": "prov:SoftwareAgent",
-                "label": "SPM"
-            }],
+            "prov:Agent": [
+                {
+                    "@id": "RRID:SCR_007037",  # TODO query for version
+                    "@type": "prov:SoftwareAgent",
+                    "label": "SPM",
+                }
+            ],
             "prov:Activity": [],
             "prov:Entity": [],
-        }
+        },
     }
 
     lines = realines(filename)
@@ -110,11 +107,9 @@ def spm_to_bids_prov(filenames, output_file):
     records = get_records(tasks)
     graph["records"].update(records)
 
-    with open(output_file, 'w') as fd:
+    with open(output_file, "w") as fd:
         json.dump(graph, fd, indent=2)
 
-    
-
 
-if __name__ == '__main__':
-    sys.exit(spm_to_bids_prov())
\ No newline at end of file
+if __name__ == "__main__":
+    sys.exit(spm_to_bids_prov())
diff --git a/dev-requirements.txt b/dev-requirements.txt
new file mode 100644
index 000000000..81fc38ce7
--- /dev/null
+++ b/dev-requirements.txt
@@ -0,0 +1,2 @@
+black
+pre-commit

From 451874833bfb0ceba916b19e0ec019bcb0d19794 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 4 Feb 2021 16:45:53 +0100
Subject: [PATCH 106/137] [FIX] activity names

---
 bids_prov/spm_parser.py | 101 ++++++++++++++++++++++++++++++----------
 1 file changed, 76 insertions(+), 25 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 035508301..ec36e7615 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -2,16 +2,55 @@
 import click
 import json
 import re
+import os
 
 from collections import defaultdict
 
 import random
 import string
 
+PATH_REGEX = r"([A-Za-z]:|[A-Za-z0-9_-]+(\.[A-Za-z0-9_-]+)*)((/[A-Za-z0-9_.-]+)+)"
+PARAM_REGEX = r"[^\.]+\(\d+\)"
+FILE_REGEX = r"(\.[a-z]{1,3}){1,2}"
+
 get_id = lambda: "".join(random.choice(string.ascii_letters) for i in range(10))
+has_parameter = lambda line: next(re.finditer(PARAM_REGEX, line), None) is not None
+# has_entity = lambda line: not has_parameter(line) and next(re.finditer(PATH_REGEX, line), None) is not None
+
+
+def get_input_entity(left, right):
+    """get input Entity if possible else return None
+
+    left: string
+        left side of ' = '
+    right: string
+        right side of ' = '
+    """
+    if has_parameter(left):
+        return None
+    if not next(re.finditer(PATH_REGEX, right), None):
+        return None
+
+    f = next(re.finditer(FILE_REGEX, right), None)
+    if f is None:
+        return None
+    entity_label = left.split("/")[-1].split(".")[0]
+    entity = {
+        "@id": "niiri:" + entity_label + get_id(),
+        "label": entity_label,
+        "prov:atLocation": right[2:-3],
+        "attributedTo": "RRID:SCR_0070037",
+    }
+    return entity
+
+
+def preproc_param_value(val):
+    if val[0] == "[":
+        return val.replace(" ", ", ")
+    return val
 
 
-def realines(filename):
+def readlines(filename):
     with open(filename) as fd:
         for line in fd:
             if line.startswith("matlabbatch"):
@@ -20,22 +59,23 @@ def realines(filename):
 
 def group_lines(lines):
     res = defaultdict(list)
-    key = lambda line: re.finditer(r"\{\d+\}", line)
     for line in lines:
         a = next(re.finditer(r"\{\d+\}", line), None)
-        b = line.split(".")[2]
-        if a and b:
-            g = a.group()
-            k = (b, g)
-            res[k].append(line[len(f"matlabbatch{g}.") :])
+        if a:
+            g = a.group()[1:-1]
+            res[g].append(line[len(f"matlabbatch{g}.") + 2 :])
 
-    return dict(res)
+    new_res = dict()
+    for k, v in res.items():
+        common_prefix = os.path.commonprefix([_.split(" = ")[0] for _ in v])
+        new_key = f"{common_prefix}_{k}"
+        new_res[new_key] = [_[len(common_prefix) :] for _ in v]
+    return new_res
 
 
 def get_records(task_groups, records=defaultdict(list)):
     entities_ids = set()
-    for _, values in task_groups.items():
-        activity_name = "".join(_)
+    for activity_name, values in task_groups.items():
         activity_id = "niiri:" + activity_name + get_id()
         activity = {
             "@id": activity_id,
@@ -45,21 +85,32 @@ def get_records(task_groups, records=defaultdict(list)):
         # import pdb; pdb.set_trace()
         used = list()
         entities = []
-        for v in values:
-            entity_split = v.split(" = ")
-            if len(entity_split) == 2:
-                left, right = entity_split
-                entity_label = left.split("/")[-1].split(".")[0]
-                entity = {
-                    "@id": "niiri:" + entity_label + get_id(),
-                    "label": entity_label,
-                    "prov:atLocation": right[2:-3],
-                    "wasGeneratedBy": activity_id,
-                }
-
+        params = []
+        for line in values:
+            split = line.split(" = ")
+            if len(split) != 2:
+                print(f"could not parse {line}")
+                continue
+            left, right = split
+
+            entity = get_input_entity(left, right)
+            if entity:
                 entities.append(entity)
-
-        activity["used"] = [e["@id"] for e in entities]
+            elif has_parameter(line):
+                pass
+            else:
+                param_name = ".".join(left.split(".")[-2:])
+                try:
+                    param_value = preproc_param_value(right[:-1])
+                    value = eval(param_value)
+                    params.append([param_name, param_value])
+                except:
+                    continue
+
+        if entities:
+            activity["used"] = [e["@id"] for e in entities]
+        if params:
+            activity["attributes"] = params
         records["prov:Activity"].append(activity)
         for e in entities:
             if e["@id"] not in entities_ids:
@@ -102,7 +153,7 @@ def spm_to_bids_prov(filenames, output_file):
         },
     }
 
-    lines = realines(filename)
+    lines = readlines(filename)
     tasks = group_lines(lines)
     records = get_records(tasks)
     graph["records"].update(records)

From 20eb5279e6d786de0e05f05f7760693c6a1c4361 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Mon, 8 Feb 2021 10:53:43 +0100
Subject: [PATCH 107/137] [ADD] first test for spm parser

---
 .gitignore                         |  3 +++
 bids_prov/tests/__init__.py        |  0
 bids_prov/tests/test_spm_parser.py | 28 ++++++++++++++++++++++++++++
 3 files changed, 31 insertions(+)
 create mode 100644 bids_prov/tests/__init__.py
 create mode 100644 bids_prov/tests/test_spm_parser.py

diff --git a/.gitignore b/.gitignore
index 7eb51b4db..d45e56933 100644
--- a/.gitignore
+++ b/.gitignore
@@ -5,6 +5,9 @@ settings.json
 **/*.gz
 .datalad
 **/*.tsv
+*.png
+*.json
+**/*.pyc
 
 *.DS_Store
 *.ipynb_checkpoints
diff --git a/bids_prov/tests/__init__.py b/bids_prov/tests/__init__.py
new file mode 100644
index 000000000..e69de29bb
diff --git a/bids_prov/tests/test_spm_parser.py b/bids_prov/tests/test_spm_parser.py
new file mode 100644
index 000000000..e59f248ab
--- /dev/null
+++ b/bids_prov/tests/test_spm_parser.py
@@ -0,0 +1,28 @@
+import pytest
+import json
+
+from ..spm_parser import get_records
+
+
+def test_get_records_copy_attributes():
+    task_groups = dict(
+        file_ops_1=[
+            ".files = {'$PATH-TO-NII-FILES/tonecounting_bold.nii.gz'};",
+            ".action.copyto = {'$PATH-TO-PREPROCESSING/FUNCTIONAL'};",
+        ]
+    )
+    recs = get_records(task_groups)
+    attrs = [_["attributes"] for _ in recs["prov:Activity"]]
+    assert "action.copyto" in json.dumps(attrs)
+
+
+def test_get_records_attrs():
+    task_groups = dict(
+        estwrite_5=[
+            ".sep = 4;",
+            ".fwhm = 5;",
+        ]
+    )
+    recs = get_records(task_groups)
+    attrs = [_["attributes"] for _ in recs["prov:Activity"]]
+    assert "4" in json.dumps(attrs)

From 1af7fb9b6256d71057a415d9356053f9dd320d5a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Mon, 8 Feb 2021 10:57:12 +0100
Subject: [PATCH 108/137] [ADD] CI for unittests

---
 .github/workflows/on_PR.yml | 18 ++++++++++++++++++
 1 file changed, 18 insertions(+)
 create mode 100644 .github/workflows/on_PR.yml

diff --git a/.github/workflows/on_PR.yml b/.github/workflows/on_PR.yml
new file mode 100644
index 000000000..fd176db95
--- /dev/null
+++ b/.github/workflows/on_PR.yml
@@ -0,0 +1,18 @@
+name: tests
+on: [pull_request]
+jobs:
+  run:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@master
+      - name: Setup Python
+        uses: actions/setup-python@master
+        with:
+          python-version: 3.7
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install pytest
+          pip install -r requirements.txt
+      - name: Unit tests
+        run: pytest bids_prov

From f09413687e1b6804039bebb8a510f3d400bced94 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Mon, 8 Feb 2021 16:57:11 +0100
Subject: [PATCH 109/137] [FIX] dependency inference

---
 bids_prov/spm_parser.py | 64 ++++++++++++++++++++++++++++++-----------
 1 file changed, 48 insertions(+), 16 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index ec36e7615..d425ed97e 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -3,6 +3,7 @@
 import json
 import re
 import os
+from difflib import SequenceMatcher
 
 from collections import defaultdict
 
@@ -12,11 +13,14 @@
 PATH_REGEX = r"([A-Za-z]:|[A-Za-z0-9_-]+(\.[A-Za-z0-9_-]+)*)((/[A-Za-z0-9_.-]+)+)"
 PARAM_REGEX = r"[^\.]+\(\d+\)"
 FILE_REGEX = r"(\.[a-z]{1,3}){1,2}"
+DEPENDENCY_REGEX = r"""cfg_dep\(['"]([^'")]*)['"]\,.*"""  # TODO : add ": " in match
 
 get_id = lambda: "".join(random.choice(string.ascii_letters) for i in range(10))
 has_parameter = lambda line: next(re.finditer(PARAM_REGEX, line), None) is not None
 # has_entity = lambda line: not has_parameter(line) and next(re.finditer(PATH_REGEX, line), None) is not None
 
+DEPENDENCY_DICT = dict(Segment="spatial.preproc")
+
 
 def get_input_entity(left, right):
     """get input Entity if possible else return None
@@ -31,10 +35,11 @@ def get_input_entity(left, right):
     if not next(re.finditer(PATH_REGEX, right), None):
         return None
 
-    f = next(re.finditer(FILE_REGEX, right), None)
-    if f is None:
+    if next(re.finditer(FILE_REGEX, right), None) is None:
         return None
-    entity_label = left.split("/")[-1].split(".")[0]
+
+    entity_label = re.sub(r"[{};\'\"]", "", right).split("/")[-1]
+    # import pdb; pdb.set_trace()
     entity = {
         "@id": "niiri:" + entity_label + get_id(),
         "label": entity_label,
@@ -73,18 +78,16 @@ def group_lines(lines):
     return new_res
 
 
-def get_records(task_groups, records=defaultdict(list)):
+def get_records(task_groups: dict, records=defaultdict(list)):
     entities_ids = set()
     for activity_name, values in task_groups.items():
         activity_id = "niiri:" + activity_name + get_id()
         activity = {
             "@id": activity_id,
-            "label": "".join(activity_name),
+            "label": ".".join(activity_name.split(".")[-3:]),
+            "used": list(),
         }
-        # TODO : add time to activity
-        # import pdb; pdb.set_trace()
-        used = list()
-        entities = []
+        input_entities, output_entities = list(), list()
         params = []
         for line in values:
             split = line.split(" = ")
@@ -93,11 +96,39 @@ def get_records(task_groups, records=defaultdict(list)):
                 continue
             left, right = split
 
-            entity = get_input_entity(left, right)
-            if entity:
-                entities.append(entity)
-            elif has_parameter(line):
-                pass
+            _in = get_input_entity(left, right)
+            if _in:
+                input_entities.append(_in)
+            elif has_parameter(left):
+                dependency = re.search(DEPENDENCY_REGEX, right, re.IGNORECASE)
+                if dependency is not None:
+                    # import pdb; pdb.set_trace()
+                    parts = dependency.group(1).split(": ")
+                    to_match = "".join(
+                        parts[:-1]
+                    ).lower()  # TODO : str.lower before that
+                    if to_match in DEPENDENCY_DICT:
+                        to_match = DEPENDENCY_DICT[to_match]
+                    closest_activity = max(
+                        records["prov:Activity"],
+                        key=lambda a: SequenceMatcher(
+                            None, a["label"], to_match
+                        ).ratio(),
+                    )
+                    _id = "niiri:" + parts[-1].replace(" ", "") + get_id()
+                    activity["used"].append(_id)
+                    output_entities.append(
+                        {
+                            "@id": _id,
+                            "label": parts[-1],
+                            # "prov:atLocation": TODO
+                            "wasGeneratedBy": closest_activity["@id"],
+                            "attributedTo": "RRID:SCR_0070037",
+                        }
+                    )
+                    pass
+                else:
+                    Warning(f"Could not parse line {line}")
             else:
                 param_name = ".".join(left.split(".")[-2:])
                 try:
@@ -107,8 +138,9 @@ def get_records(task_groups, records=defaultdict(list)):
                 except:
                     continue
 
-        if entities:
-            activity["used"] = [e["@id"] for e in entities]
+        if input_entities:
+            activity["used"] = [e["@id"] for e in input_entities]
+        entities = input_entities + output_entities
         if params:
             activity["attributes"] = params
         records["prov:Activity"].append(activity)

From 46436ffd14b3695d5ca12dffd50b562531f9b483 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 9 Feb 2021 12:57:53 +0100
Subject: [PATCH 110/137] [FIX] refs to SPM

---
 bids_prov/spm_parser.py | 7 +++----
 1 file changed, 3 insertions(+), 4 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index d425ed97e..222f37a8a 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -39,12 +39,11 @@ def get_input_entity(left, right):
         return None
 
     entity_label = re.sub(r"[{};\'\"]", "", right).split("/")[-1]
-    # import pdb; pdb.set_trace()
     entity = {
         "@id": "niiri:" + entity_label + get_id(),
         "label": entity_label,
         "prov:atLocation": right[2:-3],
-        "attributedTo": "RRID:SCR_0070037",
+        "wasAttributedTo": "RRID:SCR_007037",
     }
     return entity
 
@@ -86,6 +85,7 @@ def get_records(task_groups: dict, records=defaultdict(list)):
             "@id": activity_id,
             "label": ".".join(activity_name.split(".")[-3:]),
             "used": list(),
+            "wasAssociatedWith": "RRID:SCR_007037",
         }
         input_entities, output_entities = list(), list()
         params = []
@@ -102,7 +102,6 @@ def get_records(task_groups: dict, records=defaultdict(list)):
             elif has_parameter(left):
                 dependency = re.search(DEPENDENCY_REGEX, right, re.IGNORECASE)
                 if dependency is not None:
-                    # import pdb; pdb.set_trace()
                     parts = dependency.group(1).split(": ")
                     to_match = "".join(
                         parts[:-1]
@@ -123,7 +122,7 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                             "label": parts[-1],
                             # "prov:atLocation": TODO
                             "wasGeneratedBy": closest_activity["@id"],
-                            "attributedTo": "RRID:SCR_0070037",
+                            "wasAttributedTo": "RRID:SCR_007037",
                         }
                     )
                     pass

From eeb94c8c0c5931f8f8b48dc9b5d16682a2787083 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 16 Feb 2021 11:29:07 +0100
Subject: [PATCH 111/137] [FIX] missing used refs

---
 bids_prov/spm_parser.py            | 19 ++++++++++++-------
 bids_prov/tests/test_spm_parser.py | 12 +++++++++++-
 2 files changed, 23 insertions(+), 8 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 222f37a8a..4933a600e 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -13,7 +13,7 @@
 PATH_REGEX = r"([A-Za-z]:|[A-Za-z0-9_-]+(\.[A-Za-z0-9_-]+)*)((/[A-Za-z0-9_.-]+)+)"
 PARAM_REGEX = r"[^\.]+\(\d+\)"
 FILE_REGEX = r"(\.[a-z]{1,3}){1,2}"
-DEPENDENCY_REGEX = r"""cfg_dep\(['"]([^'")]*)['"]\,.*"""  # TODO : add ": " in match
+DEPENDENCY_REGEX = r"""cfg_dep\(['"]([^'"]*)['"]\,.*"""  # TODO : add ": " in match
 
 get_id = lambda: "".join(random.choice(string.ascii_letters) for i in range(10))
 has_parameter = lambda line: next(re.finditer(PARAM_REGEX, line), None) is not None
@@ -22,6 +22,13 @@
 DEPENDENCY_DICT = dict(Segment="spatial.preproc")
 
 
+def format_activity_name(s, l=15):
+    tmp = s.split(".")
+    while sum(map(len, tmp)) > l:
+        tmp = tmp[1:]
+    return ".".join(tmp)
+
+
 def get_input_entity(left, right):
     """get input Entity if possible else return None
 
@@ -83,12 +90,13 @@ def get_records(task_groups: dict, records=defaultdict(list)):
         activity_id = "niiri:" + activity_name + get_id()
         activity = {
             "@id": activity_id,
-            "label": ".".join(activity_name.split(".")[-3:]),
+            "label": format_activity_name(activity_name),
             "used": list(),
             "wasAssociatedWith": "RRID:SCR_007037",
         }
         input_entities, output_entities = list(), list()
         params = []
+
         for line in values:
             split = line.split(" = ")
             if len(split) != 2:
@@ -99,7 +107,7 @@ def get_records(task_groups: dict, records=defaultdict(list)):
             _in = get_input_entity(left, right)
             if _in:
                 input_entities.append(_in)
-            elif has_parameter(left):
+            elif has_parameter(left) or has_parameter(activity_name):
                 dependency = re.search(DEPENDENCY_REGEX, right, re.IGNORECASE)
                 if dependency is not None:
                     parts = dependency.group(1).split(": ")
@@ -110,9 +118,7 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                         to_match = DEPENDENCY_DICT[to_match]
                     closest_activity = max(
                         records["prov:Activity"],
-                        key=lambda a: SequenceMatcher(
-                            None, a["label"], to_match
-                        ).ratio(),
+                        key=lambda a: SequenceMatcher(None, a["@id"], to_match).ratio(),
                     )
                     _id = "niiri:" + parts[-1].replace(" ", "") + get_id()
                     activity["used"].append(_id)
@@ -125,7 +131,6 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                             "wasAttributedTo": "RRID:SCR_007037",
                         }
                     )
-                    pass
                 else:
                     Warning(f"Could not parse line {line}")
             else:
diff --git a/bids_prov/tests/test_spm_parser.py b/bids_prov/tests/test_spm_parser.py
index e59f248ab..b74f4d830 100644
--- a/bids_prov/tests/test_spm_parser.py
+++ b/bids_prov/tests/test_spm_parser.py
@@ -1,7 +1,8 @@
 import pytest
 import json
 
-from ..spm_parser import get_records
+from ..spm_parser import get_records, DEPENDENCY_REGEX
+import re
 
 
 def test_get_records_copy_attributes():
@@ -26,3 +27,12 @@ def test_get_records_attrs():
     recs = get_records(task_groups)
     attrs = [_["attributes"] for _ in recs["prov:Activity"]]
     assert "4" in json.dumps(attrs)
+
+
+def test_dep_regex():
+    s = """
+    cfg_dep('Normalise: Write: Normalised Images (Subj 1)', 
+    substruct('.','val', '{}',{8}, '.','val', '{}',{1}, '.','val', '{}',{1}, '.','val', 
+    '{}',{1}), substruct('()',{1}, '.','files'));
+    """
+    assert re.search(DEPENDENCY_REGEX, s, re.IGNORECASE) is not None

From a8f473c16ac232305b913f7d24b7ac4db98a07d9 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 16 Feb 2021 17:57:27 +0100
Subject: [PATCH 112/137] SPM parser + viz in CI

---
 .github/workflows/integration_test.yml        | 27 +++++++++++++++++++
 .../workflows/{on_PR.yml => unit_test.yml}    |  0
 2 files changed, 27 insertions(+)
 create mode 100644 .github/workflows/integration_test.yml
 rename .github/workflows/{on_PR.yml => unit_test.yml} (100%)

diff --git a/.github/workflows/integration_test.yml b/.github/workflows/integration_test.yml
new file mode 100644
index 000000000..1eecd6c7b
--- /dev/null
+++ b/.github/workflows/integration_test.yml
@@ -0,0 +1,27 @@
+name: SPM
+on: 
+  pull_request:
+    paths: 'bids_prov/**'
+jobs:
+  run:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@master
+      - name: Setup Python
+        uses: actions/setup-python@master
+        with:
+          python-version: 3.7
+      - name: Install dependencies
+        run: |
+          python -m pip install --upgrade pip
+          pip install pytest
+          pip install -r requirements.txt
+      - name: Test SPM parser on explicit_mask
+        run: |
+          curl -LJO https://raw.githubusercontent.com/incf-nidash/nidmresults-examples/master/spm_explicit_mask/batch.m
+          python bids_prov/spm_parser.py batch.m -o explicit_mask.json
+
+      - name: Test SPM Parser on groups OLS
+        run: |
+          curl -LJO https://raw.githubusercontent.com/incf-nidash/nidmresults-examples/master/spm_group_ols/batch.m
+          python bids_prov/spm_parser.py batch.m -o ols.json
diff --git a/.github/workflows/on_PR.yml b/.github/workflows/unit_test.yml
similarity index 100%
rename from .github/workflows/on_PR.yml
rename to .github/workflows/unit_test.yml

From ac1b03aa1695d0719ed3f4f05efe7a3eb01f0c67 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 16 Feb 2021 18:09:34 +0100
Subject: [PATCH 113/137] SPM parser, context as option

---
 bids_prov/spm_parser.py | 10 ++++++++--
 1 file changed, 8 insertions(+), 2 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 4933a600e..87d28b02c 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -7,6 +7,7 @@
 
 from collections import defaultdict
 
+import prov.model as prov
 import random
 import string
 
@@ -159,11 +160,16 @@ def get_records(task_groups: dict, records=defaultdict(list)):
 @click.command()
 @click.argument("filenames", nargs=-1)
 @click.option("--output-file", "-o", required=True)
-def spm_to_bids_prov(filenames, output_file):
+@click.option(
+    "--context-file",
+    "-c",
+    default="https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+)
+def spm_to_bids_prov(filenames, output_file, context_file):
     filename = filenames[0]  # FIXME
 
     graph = {
-        "@context": "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+        "@context": context_file,
         "@id": "http://example.org/ds00000X",
         "generatedAt": "2020-03-10T10:00:00",
         "wasGeneratedBy": {  # TODO : change this

From 5f14a6c0d1453d98f949eb891c50880029c46ce6 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 18 Feb 2021 18:43:19 +0100
Subject: [PATCH 114/137] SPM Parser [RM] links between entities and SPM

---
 bids_prov/spm_parser.py | 12 ++++++------
 1 file changed, 6 insertions(+), 6 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 87d28b02c..8571b40c3 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -51,7 +51,7 @@ def get_input_entity(left, right):
         "@id": "niiri:" + entity_label + get_id(),
         "label": entity_label,
         "prov:atLocation": right[2:-3],
-        "wasAttributedTo": "RRID:SCR_007037",
+        # "wasAttributedTo": "RRID:SCR_007037",
     }
     return entity
 
@@ -129,7 +129,7 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                             "label": parts[-1],
                             # "prov:atLocation": TODO
                             "wasGeneratedBy": closest_activity["@id"],
-                            "wasAttributedTo": "RRID:SCR_007037",
+                            # "wasAttributedTo": "RRID:SCR_007037",
                         }
                     )
                 else:
@@ -161,18 +161,18 @@ def get_records(task_groups: dict, records=defaultdict(list)):
 @click.argument("filenames", nargs=-1)
 @click.option("--output-file", "-o", required=True)
 @click.option(
-    "--context-file",
+    "--context-url",
     "-c",
     default="https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
 )
-def spm_to_bids_prov(filenames, output_file, context_file):
+def spm_to_bids_prov(filenames, output_file, context_url):
     filename = filenames[0]  # FIXME
 
     graph = {
-        "@context": context_file,
+        "@context": context_url,
         "@id": "http://example.org/ds00000X",
         "generatedAt": "2020-03-10T10:00:00",
-        "wasGeneratedBy": {  # TODO : change this
+        "wasGeneratedBy": {
             "@id": "INRIA",
             "@type": "Project",
             "startedAt": "2016-09-01T10:00:00",

From 434eeaff0f78e0a7311184785b125b0790930379 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 18 Feb 2021 19:10:36 +0100
Subject: [PATCH 115/137] SPM Parser [FIX] short activity name

---
 bids_prov/spm_parser.py | 4 +++-
 1 file changed, 3 insertions(+), 1 deletion(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 8571b40c3..74f57ab77 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -23,7 +23,9 @@
 DEPENDENCY_DICT = dict(Segment="spatial.preproc")
 
 
-def format_activity_name(s, l=15):
+def format_activity_name(s, l=30):
+    if s.startswith("spm."):
+        s = s[4:]
     tmp = s.split(".")
     while sum(map(len, tmp)) > l:
         tmp = tmp[1:]

From d979c3f1d3dceb5a91ba49a6c417305847fd047d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Fri, 19 Feb 2021 14:54:58 +0100
Subject: [PATCH 116/137] SPM parser link activities via close names AND
 reference numbers

---
 bids_prov/spm_parser.py            | 28 ++++++++++++++++++++--------
 bids_prov/tests/test_spm_parser.py | 11 ++++++++++-
 2 files changed, 30 insertions(+), 9 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 74f57ab77..5aecf1818 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -64,6 +64,21 @@ def preproc_param_value(val):
     return val
 
 
+def get_closest_activity(records: dict, to_match: str, dep_number: str = None):
+    if dep_number:
+        closest_activity = next(
+            filter(lambda a: a["label"].endswith(dep_number), records["prov:Activity"])
+        )
+    else:
+        to_match = to_match.lower()  # TODO : str.lower before that
+        to_match = DEPENDENCY_DICT.get(to_match, to_match)
+        closest_activity = max(
+            records["prov:Activity"],
+            key=lambda a: SequenceMatcher(None, a["@id"], to_match).ratio(),
+        )
+    return closest_activity
+
+
 def readlines(filename):
     with open(filename) as fd:
         for line in fd:
@@ -112,16 +127,13 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                 input_entities.append(_in)
             elif has_parameter(left) or has_parameter(activity_name):
                 dependency = re.search(DEPENDENCY_REGEX, right, re.IGNORECASE)
+                dep_number = re.search(r"{(\d+)}", right)
                 if dependency is not None:
                     parts = dependency.group(1).split(": ")
-                    to_match = "".join(
-                        parts[:-1]
-                    ).lower()  # TODO : str.lower before that
-                    if to_match in DEPENDENCY_DICT:
-                        to_match = DEPENDENCY_DICT[to_match]
-                    closest_activity = max(
-                        records["prov:Activity"],
-                        key=lambda a: SequenceMatcher(None, a["@id"], to_match).ratio(),
+                    closest_activity = get_closest_activity(
+                        records,
+                        to_match="".join(parts[:-1]),
+                        dep_number=dep_number.group(1),
                     )
                     _id = "niiri:" + parts[-1].replace(" ", "") + get_id()
                     activity["used"].append(_id)
diff --git a/bids_prov/tests/test_spm_parser.py b/bids_prov/tests/test_spm_parser.py
index b74f4d830..5fb8f6c33 100644
--- a/bids_prov/tests/test_spm_parser.py
+++ b/bids_prov/tests/test_spm_parser.py
@@ -1,7 +1,7 @@
 import pytest
 import json
 
-from ..spm_parser import get_records, DEPENDENCY_REGEX
+from ..spm_parser import get_records, DEPENDENCY_REGEX, get_closest_activity
 import re
 
 
@@ -36,3 +36,12 @@ def test_dep_regex():
     '{}',{1}), substruct('()',{1}, '.','files'));
     """
     assert re.search(DEPENDENCY_REGEX, s, re.IGNORECASE) is not None
+
+
+def test_closest_activity():
+    records = {
+        "prov:Activity": [
+            {"@id": "niiri:cfg_basicio.file_dir.file_ops.file_move._1kuxDmvbfxp"},
+            {"@id": "niiri:cfg_basicio.file_dir.file_ops.file_move._1kuxDmvbfxp"},
+        ]
+    }

From e1b9b9277079f669a463fb7455a5ea6618d0740c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Fri, 12 Mar 2021 10:45:22 +0100
Subject: [PATCH 117/137] SPM parser config is now external

---
 bids_prov/__init__.py   |  4 ++++
 bids_prov/spm_config.py | 11 +++++++++++
 bids_prov/spm_parser.py | 17 ++---------------
 3 files changed, 17 insertions(+), 15 deletions(-)
 create mode 100644 bids_prov/spm_config.py

diff --git a/bids_prov/__init__.py b/bids_prov/__init__.py
index e69de29bb..ae9134cfc 100644
--- a/bids_prov/__init__.py
+++ b/bids_prov/__init__.py
@@ -0,0 +1,4 @@
+import string
+import random
+
+get_id = lambda: "".join(random.choice(string.ascii_letters) for i in range(10))
diff --git a/bids_prov/spm_config.py b/bids_prov/spm_config.py
new file mode 100644
index 000000000..c8ecc21a0
--- /dev/null
+++ b/bids_prov/spm_config.py
@@ -0,0 +1,11 @@
+import re
+
+PATH_REGEX = r"([A-Za-z]:|[A-Za-z0-9_-]+(\.[A-Za-z0-9_-]+)*)((/[A-Za-z0-9_.-]+)+)"
+PARAM_REGEX = r"[^\.]+\(\d+\)"
+FILE_REGEX = r"(\.[a-z]{1,3}){1,2}"
+DEPENDENCY_REGEX = r"""cfg_dep\(['"]([^'"]*)['"]\,.*"""  # TODO : add ": " in match
+
+has_parameter = lambda line: next(re.finditer(PARAM_REGEX, line), None) is not None
+# has_entity = lambda line: not has_parameter(line) and next(re.finditer(PATH_REGEX, line), None) is not None
+
+DEPENDENCY_DICT = dict(Segment="spatial.preproc")
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 5aecf1818..211ba94be 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -1,26 +1,13 @@
 import sys
 import click
 import json
-import re
 import os
 from difflib import SequenceMatcher
 
 from collections import defaultdict
 
-import prov.model as prov
-import random
-import string
-
-PATH_REGEX = r"([A-Za-z]:|[A-Za-z0-9_-]+(\.[A-Za-z0-9_-]+)*)((/[A-Za-z0-9_.-]+)+)"
-PARAM_REGEX = r"[^\.]+\(\d+\)"
-FILE_REGEX = r"(\.[a-z]{1,3}){1,2}"
-DEPENDENCY_REGEX = r"""cfg_dep\(['"]([^'"]*)['"]\,.*"""  # TODO : add ": " in match
-
-get_id = lambda: "".join(random.choice(string.ascii_letters) for i in range(10))
-has_parameter = lambda line: next(re.finditer(PARAM_REGEX, line), None) is not None
-# has_entity = lambda line: not has_parameter(line) and next(re.finditer(PATH_REGEX, line), None) is not None
-
-DEPENDENCY_DICT = dict(Segment="spatial.preproc")
+from .spm_config import *
+from . import get_id
 
 
 def format_activity_name(s, l=30):

From 489b8bb2e363aa0094c0b566c67a9082baadb27c Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Fri, 12 Mar 2021 10:50:29 +0100
Subject: [PATCH 118/137] [FIX] CI for bids_prov.spm_parser

---
 .github/workflows/integration_test.yml | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/.github/workflows/integration_test.yml b/.github/workflows/integration_test.yml
index 1eecd6c7b..58286c675 100644
--- a/.github/workflows/integration_test.yml
+++ b/.github/workflows/integration_test.yml
@@ -19,9 +19,9 @@ jobs:
       - name: Test SPM parser on explicit_mask
         run: |
           curl -LJO https://raw.githubusercontent.com/incf-nidash/nidmresults-examples/master/spm_explicit_mask/batch.m
-          python bids_prov/spm_parser.py batch.m -o explicit_mask.json
+          python -m bids_prov.spm_parser batch.m -o explicit_mask.json
 
       - name: Test SPM Parser on groups OLS
         run: |
           curl -LJO https://raw.githubusercontent.com/incf-nidash/nidmresults-examples/master/spm_group_ols/batch.m
-          python bids_prov/spm_parser.py batch.m -o ols.json
+          python -m bids_prov.spm_parser batch.m -o ols.json

From 50e2d6340f4db68de8832b5d1879aae370371aba Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Fri, 12 Mar 2021 15:42:41 +0100
Subject: [PATCH 119/137] SPM default graph in config

---
 bids_prov/spm_config.py            | 31 ++++++++++++++++++++++
 bids_prov/spm_parser.py            | 42 +++++++-----------------------
 bids_prov/tests/test_spm_parser.py |  3 ++-
 3 files changed, 42 insertions(+), 34 deletions(-)

diff --git a/bids_prov/spm_config.py b/bids_prov/spm_config.py
index c8ecc21a0..cce4182f7 100644
--- a/bids_prov/spm_config.py
+++ b/bids_prov/spm_config.py
@@ -9,3 +9,34 @@
 # has_entity = lambda line: not has_parameter(line) and next(re.finditer(PATH_REGEX, line), None) is not None
 
 DEPENDENCY_DICT = dict(Segment="spatial.preproc")
+
+CONTEXT_URL = "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json"
+
+
+def get_empty_graph(context_url=CONTEXT_URL):
+    return {
+        "@context": context_url,
+        "@id": "http://example.org/ds00000X",
+        "generatedAt": "2020-03-10T10:00:00",
+        "wasGeneratedBy": {
+            "@id": "INRIA",
+            "@type": "Project",
+            "startedAt": "2016-09-01T10:00:00",
+            "wasAssociatedWith": {
+                "@id": "NIH",
+                "@type": "Organization",
+                "hadRole": "Funding",
+            },
+        },
+        "records": {
+            "prov:Agent": [
+                {
+                    "@id": "RRID:SCR_007037",  # TODO query for version
+                    "@type": "prov:SoftwareAgent",
+                    "label": "SPM",
+                }
+            ],
+            "prov:Activity": [],
+            "prov:Entity": [],
+        },
+    }
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 211ba94be..b2a98a9fd 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -2,11 +2,12 @@
 import click
 import json
 import os
+import re
 from difflib import SequenceMatcher
 
 from collections import defaultdict
 
-from .spm_config import *
+from . import spm_config as conf
 from . import get_id
 
 
@@ -27,12 +28,12 @@ def get_input_entity(left, right):
     right: string
         right side of ' = '
     """
-    if has_parameter(left):
+    if conf.has_parameter(left):
         return None
-    if not next(re.finditer(PATH_REGEX, right), None):
+    if not next(re.finditer(conf.PATH_REGEX, right), None):
         return None
 
-    if next(re.finditer(FILE_REGEX, right), None) is None:
+    if next(re.finditer(conf.FILE_REGEX, right), None) is None:
         return None
 
     entity_label = re.sub(r"[{};\'\"]", "", right).split("/")[-1]
@@ -112,8 +113,8 @@ def get_records(task_groups: dict, records=defaultdict(list)):
             _in = get_input_entity(left, right)
             if _in:
                 input_entities.append(_in)
-            elif has_parameter(left) or has_parameter(activity_name):
-                dependency = re.search(DEPENDENCY_REGEX, right, re.IGNORECASE)
+            elif conf.has_parameter(left) or conf.has_parameter(activity_name):
+                dependency = re.search(conf.DEPENDENCY_REGEX, right, re.IGNORECASE)
                 dep_number = re.search(r"{(\d+)}", right)
                 if dependency is not None:
                     parts = dependency.group(1).split(": ")
@@ -164,37 +165,12 @@ def get_records(task_groups: dict, records=defaultdict(list)):
 @click.option(
     "--context-url",
     "-c",
-    default="https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json",
+    default=conf.CONTEXT_URL,
 )
 def spm_to_bids_prov(filenames, output_file, context_url):
     filename = filenames[0]  # FIXME
 
-    graph = {
-        "@context": context_url,
-        "@id": "http://example.org/ds00000X",
-        "generatedAt": "2020-03-10T10:00:00",
-        "wasGeneratedBy": {
-            "@id": "INRIA",
-            "@type": "Project",
-            "startedAt": "2016-09-01T10:00:00",
-            "wasAssociatedWith": {
-                "@id": "NIH",
-                "@type": "Organization",
-                "hadRole": "Funding",
-            },
-        },
-        "records": {
-            "prov:Agent": [
-                {
-                    "@id": "RRID:SCR_007037",  # TODO query for version
-                    "@type": "prov:SoftwareAgent",
-                    "label": "SPM",
-                }
-            ],
-            "prov:Activity": [],
-            "prov:Entity": [],
-        },
-    }
+    graph = conf.get_empty_graph(context_url=context_url)
 
     lines = readlines(filename)
     tasks = group_lines(lines)
diff --git a/bids_prov/tests/test_spm_parser.py b/bids_prov/tests/test_spm_parser.py
index 5fb8f6c33..95e97bd3b 100644
--- a/bids_prov/tests/test_spm_parser.py
+++ b/bids_prov/tests/test_spm_parser.py
@@ -1,7 +1,8 @@
 import pytest
 import json
 
-from ..spm_parser import get_records, DEPENDENCY_REGEX, get_closest_activity
+from ..spm_config import DEPENDENCY_REGEX
+from ..spm_parser import get_records, get_closest_activity
 import re
 
 

From 4be118c12896f03cd5a573d127a0cb9ca19f4e5d Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 16 Mar 2021 12:50:31 +0100
Subject: [PATCH 120/137] spm_parser : hard coded mappings in yaml file

---
 bids_prov/spm_config.py  | 11 +++++++++--
 bids_prov/spm_config.yml |  4 ++++
 bids_prov/spm_parser.py  |  2 +-
 3 files changed, 14 insertions(+), 3 deletions(-)
 create mode 100644 bids_prov/spm_config.yml

diff --git a/bids_prov/spm_config.py b/bids_prov/spm_config.py
index cce4182f7..aef2a4787 100644
--- a/bids_prov/spm_config.py
+++ b/bids_prov/spm_config.py
@@ -1,4 +1,10 @@
 import re
+import yaml
+import os
+
+import os
+
+this_path = os.path.dirname(os.path.abspath(__file__))
 
 PATH_REGEX = r"([A-Za-z]:|[A-Za-z0-9_-]+(\.[A-Za-z0-9_-]+)*)((/[A-Za-z0-9_.-]+)+)"
 PARAM_REGEX = r"[^\.]+\(\d+\)"
@@ -8,10 +14,11 @@
 has_parameter = lambda line: next(re.finditer(PARAM_REGEX, line), None) is not None
 # has_entity = lambda line: not has_parameter(line) and next(re.finditer(PATH_REGEX, line), None) is not None
 
-DEPENDENCY_DICT = dict(Segment="spatial.preproc")
-
 CONTEXT_URL = "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json"
 
+with open(this_path + "/spm_config.yml", "r") as fd:
+    conf = yaml.load(fd)
+
 
 def get_empty_graph(context_url=CONTEXT_URL):
     return {
diff --git a/bids_prov/spm_config.yml b/bids_prov/spm_config.yml
new file mode 100644
index 000000000..2de70db01
--- /dev/null
+++ b/bids_prov/spm_config.yml
@@ -0,0 +1,4 @@
+activities:
+  Segment: spatial.preproc
+# input :
+# output :
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index b2a98a9fd..9ed7c52ad 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -59,7 +59,7 @@ def get_closest_activity(records: dict, to_match: str, dep_number: str = None):
         )
     else:
         to_match = to_match.lower()  # TODO : str.lower before that
-        to_match = DEPENDENCY_DICT.get(to_match, to_match)
+        to_match = conf.conf["activities"].get(to_match, to_match)
         closest_activity = max(
             records["prov:Activity"],
             key=lambda a: SequenceMatcher(None, a["@id"], to_match).ratio(),

From 40cdc59eaea1886b905e408776e3eaecbd49501a Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 16 Mar 2021 12:54:20 +0100
Subject: [PATCH 121/137] [ADD] missing requirement

---
 requirements.txt | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/requirements.txt b/requirements.txt
index 463734113..eb4349df5 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -4,4 +4,5 @@ prov
 rdflib-jsonld
 pyld
 pydot
-requests
\ No newline at end of file
+requests
+pyyaml

From e9cd9ac76a6a9af62616bbc4fd358d1ba347f0fe Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 18 Mar 2021 12:41:13 +0100
Subject: [PATCH 122/137] SPM [FIX] duplicate gunzipped files

---
 bids_prov/spm_parser.py | 25 +++++++++++++++++--------
 1 file changed, 17 insertions(+), 8 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 9ed7c52ad..56f01af6c 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -59,11 +59,14 @@ def get_closest_activity(records: dict, to_match: str, dep_number: str = None):
         )
     else:
         to_match = to_match.lower()  # TODO : str.lower before that
-        to_match = conf.conf["activities"].get(to_match, to_match)
-        closest_activity = max(
-            records["prov:Activity"],
-            key=lambda a: SequenceMatcher(None, a["@id"], to_match).ratio(),
-        )
+        to_match = DEPENDENCY_DICT.get(to_match, to_match)
+        closest_activity = None
+        max_ratio = 0.6  # TODO threshold in params
+        for activity in records["prov:Activity"]:
+            ratio = SequenceMatcher(None, activity["@id"], to_match).ratio()
+            if ratio >= max_ratio:
+                closest_activity = activity
+                max_ratio = ratio
     return closest_activity
 
 
@@ -115,6 +118,8 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                 input_entities.append(_in)
             elif conf.has_parameter(left) or conf.has_parameter(activity_name):
                 dependency = re.search(conf.DEPENDENCY_REGEX, right, re.IGNORECASE)
+                # if "GunZ" in right:
+                #    import pdb; pdb.set_trace()
                 dep_number = re.search(r"{(\d+)}", right)
                 if dependency is not None:
                     parts = dependency.group(1).split(": ")
@@ -123,11 +128,15 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                         to_match="".join(parts[:-1]),
                         dep_number=dep_number.group(1),
                     )
-                    _id = "niiri:" + parts[-1].replace(" ", "") + get_id()
-                    activity["used"].append(_id)
+                    if closest_activity is None:
+                        continue
+                    output_id = (
+                        "niiri:" + parts[-1].replace(" ", "") + dep_number.group(1)
+                    )
+                    activity["used"].append(output_id)
                     output_entities.append(
                         {
-                            "@id": _id,
+                            "@id": output_id,
                             "label": parts[-1],
                             # "prov:atLocation": TODO
                             "wasGeneratedBy": closest_activity["@id"],

From f152c15ea4634e6f1e583bf173a7fa3e626a59ca Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Mon, 29 Mar 2021 11:46:20 +0200
Subject: [PATCH 123/137] SPM [ADD] predefined outputs in static config

---
 bids_prov/spm_config.py  |  2 +-
 bids_prov/spm_config.yml |  8 +++++---
 bids_prov/spm_parser.py  | 18 ++++++++++++++++--
 3 files changed, 22 insertions(+), 6 deletions(-)

diff --git a/bids_prov/spm_config.py b/bids_prov/spm_config.py
index aef2a4787..60a4584ae 100644
--- a/bids_prov/spm_config.py
+++ b/bids_prov/spm_config.py
@@ -17,7 +17,7 @@
 CONTEXT_URL = "https://raw.githubusercontent.com/cmaumet/BIDS-prov/context-type-indexing/context.json"
 
 with open(this_path + "/spm_config.yml", "r") as fd:
-    conf = yaml.load(fd)
+    static = yaml.load(fd)
 
 
 def get_empty_graph(context_url=CONTEXT_URL):
diff --git a/bids_prov/spm_config.yml b/bids_prov/spm_config.yml
index 2de70db01..a53da8962 100644
--- a/bids_prov/spm_config.yml
+++ b/bids_prov/spm_config.yml
@@ -1,4 +1,6 @@
 activities:
-  Segment: spatial.preproc
-# input :
-# output :
+  spatial.preproc:
+    name: segment
+    outputs:
+      - c1xxx.nii.gz
+      - c2xxx.nii.gz
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 56f01af6c..336bd8a3f 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -106,6 +106,22 @@ def get_records(task_groups: dict, records=defaultdict(list)):
         input_entities, output_entities = list(), list()
         params = []
 
+        static_map = next(
+            (k for k in conf.static["activities"] if k in activity_name), None
+        )
+        if static_map is not None:
+            static_map = conf.static["activities"][static_map]
+            activity_name = static_map["name"]  # FIXME ? discuss
+            for output in static_map["outputs"]:
+                output_entities.append(
+                    {
+                        "@id": output + get_id(),
+                        "label": output,
+                        "prov:atLocation": "TODO",
+                        "wasGeneratedBy": activity_id,
+                    }
+                )
+
         for line in values:
             split = line.split(" = ")
             if len(split) != 2:
@@ -118,8 +134,6 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                 input_entities.append(_in)
             elif conf.has_parameter(left) or conf.has_parameter(activity_name):
                 dependency = re.search(conf.DEPENDENCY_REGEX, right, re.IGNORECASE)
-                # if "GunZ" in right:
-                #    import pdb; pdb.set_trace()
                 dep_number = re.search(r"{(\d+)}", right)
                 if dependency is not None:
                     parts = dependency.group(1).split(": ")

From cef3720d48ec1f154cbb3bf5d9a7b3db30b59110 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 1 Apr 2021 10:58:09 +0200
Subject: [PATCH 124/137] rename spm_config.py to avoid confusion

---
 bids_prov/{spm_config.py => spm_load_config.py} | 0
 bids_prov/spm_parser.py                         | 2 +-
 bids_prov/tests/test_spm_parser.py              | 2 +-
 3 files changed, 2 insertions(+), 2 deletions(-)
 rename bids_prov/{spm_config.py => spm_load_config.py} (100%)

diff --git a/bids_prov/spm_config.py b/bids_prov/spm_load_config.py
similarity index 100%
rename from bids_prov/spm_config.py
rename to bids_prov/spm_load_config.py
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 336bd8a3f..f489b0fd0 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -7,7 +7,7 @@
 
 from collections import defaultdict
 
-from . import spm_config as conf
+from . import spm_load_config as conf
 from . import get_id
 
 
diff --git a/bids_prov/tests/test_spm_parser.py b/bids_prov/tests/test_spm_parser.py
index 95e97bd3b..0a829c080 100644
--- a/bids_prov/tests/test_spm_parser.py
+++ b/bids_prov/tests/test_spm_parser.py
@@ -1,7 +1,7 @@
 import pytest
 import json
 
-from ..spm_config import DEPENDENCY_REGEX
+from ..spm_load_config import DEPENDENCY_REGEX
 from ..spm_parser import get_records, get_closest_activity
 import re
 

From 56c71878ab550637d2fe340112f1551cfd07d946 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Thu, 1 Apr 2021 11:00:35 +0200
Subject: [PATCH 125/137] [ADD] bids_prov/README

---
 bids_prov/README.md | 17 +++++++++++++++++
 1 file changed, 17 insertions(+)
 create mode 100644 bids_prov/README.md

diff --git a/bids_prov/README.md b/bids_prov/README.md
new file mode 100644
index 000000000..d9416febf
--- /dev/null
+++ b/bids_prov/README.md
@@ -0,0 +1,17 @@
+## CLI scripts for BIDS PROV
+
+### Notes
+All scripts provide a `--help` flag, to get an overview of possible parameters and default values
+Here is an example
+```bash
+>> python bids_prov/visualize.py --help
+Usage: visualize.py [OPTIONS] [FILENAMES]...
+
+Options:
+  -o, --output_file TEXT
+  --omit-details          omit the following low level details : {'Activity':
+                          ('startedAtTime', 'endedAtTime'), 'Entity':
+                          ('atLocation', 'generatedAt')}
+
+  --help                  Show this message and exit.
+```
\ No newline at end of file

From 0b24cabb85c8f8cd3ccbb2c5af3222e6e25fb60f Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Mon, 26 Apr 2021 11:23:22 +0200
Subject: [PATCH 126/137] fix: avoid overwriting used dependency in the
 presence of used entities

---
 bids_prov/spm_parser.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index f489b0fd0..42c910569 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -169,7 +169,8 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                     continue
 
         if input_entities:
-            activity["used"] = [e["@id"] for e in input_entities]
+            used_entities = [e["@id"] for e in input_entities]
+            activity["used"] = activity["used"] + used_entities
         entities = input_entities + output_entities
         if params:
             activity["attributes"] = params

From 24e9fa90f6e9ce5f28a9ae8b0f75442f2f95d275 Mon Sep 17 00:00:00 2001
From: cmaumet <camille.maumet@inria.fr>
Date: Mon, 26 Apr 2021 11:45:20 +0200
Subject: [PATCH 127/137] rename static_map

---
 bids_prov/spm_parser.py | 10 +++++-----
 1 file changed, 5 insertions(+), 5 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 42c910569..9fe516352 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -106,13 +106,13 @@ def get_records(task_groups: dict, records=defaultdict(list)):
         input_entities, output_entities = list(), list()
         params = []
 
-        static_map = next(
+        conf_outputs = next(
             (k for k in conf.static["activities"] if k in activity_name), None
         )
-        if static_map is not None:
-            static_map = conf.static["activities"][static_map]
-            activity_name = static_map["name"]  # FIXME ? discuss
-            for output in static_map["outputs"]:
+        if conf_outputs is not None:
+            conf_outputs = conf.static["activities"][conf_outputs]
+            activity_name = conf_outputs["name"]  # FIXME ? discuss
+            for output in conf_outputs["outputs"]:
                 output_entities.append(
                     {
                         "@id": output + get_id(),

From 6321abd346787425771288af797771bedabe0faf Mon Sep 17 00:00:00 2001
From: Tibor Auer <tibor.auer@gmail.com>
Date: Thu, 10 Jun 2021 09:40:11 +0100
Subject: [PATCH 128/137] FIX - remove redundancy in README

---
 README.md | 28 ----------------------------
 1 file changed, 28 deletions(-)

diff --git a/README.md b/README.md
index 4722bb35b..1701495cf 100644
--- a/README.md
+++ b/README.md
@@ -31,34 +31,6 @@ BIDS-prov is a BIDS extension that is compatible with NIDM.
 
 
 
-## How to help
-
-[Our goal](#our-goal) is to extend [BIDS](https://bids.neuroimaging.io/) to be able to track provenance at every stage of an experiment.
-
-For this purpose we have to **propose changes to the BIDS specification**
-
-The BIDS specification is _rendered_ as a webpage at https://bids-specification.readthedocs.io.
-
-The website is built from a GitHub repository that consists of mostly markdown files at https://github.com/bids-standard/bids-specification.
-If you don't know much about markdown, here's a [good intro guide](https://guides.github.com/features/mastering-markdown/)
-
-The file that you are most likely to propose changes to is [src/03-modality-agnostic-files.md](https://github.com/bids-standard/bids-specification/blob/master/src/03-modality-agnostic-files.md), although there may be additional changes that have to happen in other pars of the repository
-
-
-## Finding information and getting in touch
-
-### Google doc
-
-The BEP028 is in a [google doc](https://docs.google.com/document/d/1vw3VNDof5cecv2PkFp7Lw_pNUTUo8-m8V4SIdtGJVKs/edit?usp=sharing)
-
-### NIDM weekly calls
-
-We meet every week by videoconference on Mondays at 8-9am PDT / 11am-12pm EDT / 4-5pm BST. The group is always open to new contributors interested in neuroimaging data sharing. To join the call or to ask any question, please email us at incf-nidash-nidm@googlegroups.com.
-
-
-## Additional resources
-
-
 ## How to help
 [Our goal](#our-goal) is to extends BIDS to be able to track provenance at every stage of an experiment.
 

From 23585fc793a354cda208ae02abcdd5663bbd0156 Mon Sep 17 00:00:00 2001
From: Tibor Auer <tibor.auer@gmail.com>
Date: Thu, 10 Jun 2021 09:41:49 +0100
Subject: [PATCH 129/137] FIX - typo in README

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 1701495cf..b8680daf2 100644
--- a/README.md
+++ b/README.md
@@ -3,7 +3,7 @@ provenance framework for BIDS
 This repository contains **BIDS Extension Proposal 028 : BIDS-prov, a provenance framework for BIDS**
 
 ## Our goal
-**Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus usedz to encode transformations between digital objects
+**Interpreting and comparing scientific results** and enabling reusable data and analysis output require understanding provenance, i.e. how the data were generated and processed. To be useful, the provenance must be understandable, easily communicated, and captured automatically in machine accessible form. Provenance records are thus used to encode transformations between digital objects
 
 ### Who is building BEP 028
 

From c5ee92bae84e980393a5534ce6ea0d0406eeb64b Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 15 Jun 2021 15:13:59 +0200
Subject: [PATCH 130/137] SPM parser improve [DOC] and [RM] dead code

---
 bids_prov/spm_parser.py | 63 +++++++++++++++++++++++++----------------
 1 file changed, 39 insertions(+), 24 deletions(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 9fe516352..0bdf1ac4b 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -52,24 +52,6 @@ def preproc_param_value(val):
     return val
 
 
-def get_closest_activity(records: dict, to_match: str, dep_number: str = None):
-    if dep_number:
-        closest_activity = next(
-            filter(lambda a: a["label"].endswith(dep_number), records["prov:Activity"])
-        )
-    else:
-        to_match = to_match.lower()  # TODO : str.lower before that
-        to_match = DEPENDENCY_DICT.get(to_match, to_match)
-        closest_activity = None
-        max_ratio = 0.6  # TODO threshold in params
-        for activity in records["prov:Activity"]:
-            ratio = SequenceMatcher(None, activity["@id"], to_match).ratio()
-            if ratio >= max_ratio:
-                closest_activity = activity
-                max_ratio = ratio
-    return closest_activity
-
-
 def readlines(filename):
     with open(filename) as fd:
         for line in fd:
@@ -78,12 +60,33 @@ def readlines(filename):
 
 
 def group_lines(lines):
+    """Group line by their activity id
+
+    The activity id is between curly brackets, for every line
+
+    Parameters
+    ----------
+    lines: iterable[str]
+        lines to be grouped, where every element is a python string
+
+    Returns
+    -------
+    dict[int, str]
+        a mapping from activity id to lines belonging to this activity
+
+    Example
+    -------
+    >>> from bids_prov.spm_parser import group_lines
+    >>> lines = ["batch{1}.file_ops.file_move.call", "batch{1}.file_ops.file_move.different.call"]
+    >>> group_lines(lines)
+    {'file_ops.file_move._1': ['call', 'different.call']}
+    """
     res = defaultdict(list)
     for line in lines:
-        a = next(re.finditer(r"\{\d+\}", line), None)
+        a = re.search(r"\{\d+\}", line)
         if a:
             g = a.group()[1:-1]
-            res[g].append(line[len(f"matlabbatch{g}.") + 2 :])
+            res[g].append(line[a.end() + 1 :])
 
     new_res = dict()
     for k, v in res.items():
@@ -94,6 +97,13 @@ def group_lines(lines):
 
 
 def get_records(task_groups: dict, records=defaultdict(list)):
+    """Take the result of `group_lines` and output the corresponding
+    JSON-ld graph as a python dict
+
+    See Also
+    --------
+    bids_prov.spm_parser.group_lines
+    """
     entities_ids = set()
     for activity_name, values in task_groups.items():
         activity_id = "niiri:" + activity_name + get_id()
@@ -137,10 +147,12 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                 dep_number = re.search(r"{(\d+)}", right)
                 if dependency is not None:
                     parts = dependency.group(1).split(": ")
-                    closest_activity = get_closest_activity(
-                        records,
-                        to_match="".join(parts[:-1]),
-                        dep_number=dep_number.group(1),
+                    closest_activity = next(
+                        filter(
+                            lambda a: a["label"].endswith(dep_number.group(1)),
+                            records["prov:Activity"],
+                        ),
+                        None,
                     )
                     if closest_activity is None:
                         continue
@@ -180,6 +192,9 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                 records["prov:Entity"].append(e)
             entities_ids.add(e["@id"])
 
+    import pdb
+
+    pdb.set_trace()
     return records
 
 

From 179df7e760facca1161dd49a5984ca230bf4ee62 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 15 Jun 2021 15:45:24 +0200
Subject: [PATCH 131/137] SPM parser improve [DOC]

---
 bids_prov/README.md     | 12 +++++++++++-
 bids_prov/spm_parser.py | 16 ++++++++++------
 2 files changed, 21 insertions(+), 7 deletions(-)

diff --git a/bids_prov/README.md b/bids_prov/README.md
index d9416febf..f05952070 100644
--- a/bids_prov/README.md
+++ b/bids_prov/README.md
@@ -4,7 +4,7 @@
 All scripts provide a `--help` flag, to get an overview of possible parameters and default values
 Here is an example
 ```bash
->> python bids_prov/visualize.py --help
+>> python -m bids_prov.visualize --help
 Usage: visualize.py [OPTIONS] [FILENAMES]...
 
 Options:
@@ -14,4 +14,14 @@ Options:
                           ('atLocation', 'generatedAt')}
 
   --help                  Show this message and exit.
+```
+
+```bash
+>> python -m bids_prov.spm_parser --help
+Usage: spm_parser.py [OPTIONS] [FILENAMES]...
+
+Options:
+  -o, --output-file TEXT  [required]
+  -c, --context-url TEXT
+  --help                  Show this message and exit.
 ```
\ No newline at end of file
diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 0bdf1ac4b..56564ccb5 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -173,12 +173,19 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                     Warning(f"Could not parse line {line}")
             else:
                 param_name = ".".join(left.split(".")[-2:])
+                param_value = preproc_param_value(right[:-1])
+
+                # HANDLE STRUCTS eg. struct('name', {}, 'onset', {}, 'duration', {})
+                if param_value.startswith("struct"):
+                    continue  # TODO handle dictionary-like parameters
+
                 try:
-                    param_value = preproc_param_value(right[:-1])
-                    value = eval(param_value)
-                    params.append([param_name, param_value])
+                    eval(param_value)
                 except:
+                    Warning(f"could not set {param_name} to {param_value}")
                     continue
+                finally:
+                    params.append([param_name, param_value])
 
         if input_entities:
             used_entities = [e["@id"] for e in input_entities]
@@ -192,9 +199,6 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                 records["prov:Entity"].append(e)
             entities_ids.add(e["@id"])
 
-    import pdb
-
-    pdb.set_trace()
     return records
 
 

From 17da659bdbdea70170447c017c3b89496a043c81 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 15 Jun 2021 15:47:16 +0200
Subject: [PATCH 132/137] [RM] reprecated closest_activity

---
 bids_prov/tests/test_spm_parser.py | 11 +----------
 1 file changed, 1 insertion(+), 10 deletions(-)

diff --git a/bids_prov/tests/test_spm_parser.py b/bids_prov/tests/test_spm_parser.py
index 0a829c080..40c166782 100644
--- a/bids_prov/tests/test_spm_parser.py
+++ b/bids_prov/tests/test_spm_parser.py
@@ -2,7 +2,7 @@
 import json
 
 from ..spm_load_config import DEPENDENCY_REGEX
-from ..spm_parser import get_records, get_closest_activity
+from ..spm_parser import get_records
 import re
 
 
@@ -37,12 +37,3 @@ def test_dep_regex():
     '{}',{1}), substruct('()',{1}, '.','files'));
     """
     assert re.search(DEPENDENCY_REGEX, s, re.IGNORECASE) is not None
-
-
-def test_closest_activity():
-    records = {
-        "prov:Activity": [
-            {"@id": "niiri:cfg_basicio.file_dir.file_ops.file_move._1kuxDmvbfxp"},
-            {"@id": "niiri:cfg_basicio.file_dir.file_ops.file_move._1kuxDmvbfxp"},
-        ]
-    }

From ebd8b856caa5999583fd3319c6e7973cbe5a2514 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?R=C3=A9mi=20Adon?= <remi.adon@gmail.com>
Date: Tue, 15 Jun 2021 16:17:38 +0200
Subject: [PATCH 133/137] spm_parser set prov:atLocation for activities with
 default outputs

---
 bids_prov/spm_parser.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/bids_prov/spm_parser.py b/bids_prov/spm_parser.py
index 56564ccb5..624bb21e9 100644
--- a/bids_prov/spm_parser.py
+++ b/bids_prov/spm_parser.py
@@ -127,7 +127,7 @@ def get_records(task_groups: dict, records=defaultdict(list)):
                     {
                         "@id": output + get_id(),
                         "label": output,
-                        "prov:atLocation": "TODO",
+                        "prov:atLocation": output,
                         "wasGeneratedBy": activity_id,
                     }
                 )

From 3c4302ecc295da687cc2726822d9537342a5dd80 Mon Sep 17 00:00:00 2001
From: David Keator <dbkeator@gmail.com>
Date: Thu, 17 Jun 2021 15:10:43 -0700
Subject: [PATCH 134/137] freesurfer segmentation results extraction example
 BIDS-Prov

---
 examples/freesurfer_segs/README.md            | 12 ++++
 .../freesurfer_provenance.jsonld              | 57 +++++++++++++++++++
 2 files changed, 69 insertions(+)
 create mode 100644 examples/freesurfer_segs/README.md
 create mode 100644 examples/freesurfer_segs/freesurfer_provenance.jsonld

diff --git a/examples/freesurfer_segs/README.md b/examples/freesurfer_segs/README.md
new file mode 100644
index 000000000..6226b33e1
--- /dev/null
+++ b/examples/freesurfer_segs/README.md
@@ -0,0 +1,12 @@
+# Freesurfer Segmentation Statistics Export Example
+
+This example is derived from our [NIDM representations of ABIDE-1 BIDS data](https://github.com/dbkeator/simple2_NIDM_examples/tree/master/datasets.datalad.org/abide/RawDataBIDS).  
+Along with the BIDS data conversion to NIDM we added Freesurfer-derived segmentation statistics (and segmentations using FSL and ANTS).  The jsonld provenance example included here
+was taken from the CMU_A site NIDM jsonld file and modified to be more BIDS-Prov like based on the current extension documentation.  Note, I've only kept the 
+prov:Activity and prov:Agent (software agent) from the original NIDM jsonld file.  The NIDM jsonld file also includes a prov:Entity, containing the actual volume and other statistics
+for each participant,  which is prov:wasDerivedFrom the prov:Activity shown in
+this example.
+
+In this example, I didn't parse up the freesurfer:cmdline to separate out all the parameters.  I wasn't sure yet how to format that in BIDS-Prov.  
+
+In case you don't like to read jsonld files, you can see a visualation [here](https://drive.google.com/file/d/1mwhcetcJMT-1CwghJZ1_ILnaXEiPaDmw/view?usp=sharing).
diff --git a/examples/freesurfer_segs/freesurfer_provenance.jsonld b/examples/freesurfer_segs/freesurfer_provenance.jsonld
new file mode 100644
index 000000000..7a0436109
--- /dev/null
+++ b/examples/freesurfer_segs/freesurfer_provenance.jsonld
@@ -0,0 +1,57 @@
+{
+"@context": [
+	"https://purl.org/nidash/bidsprov/context.json",
+	{
+		"freesurfer": "https://surfer.nmr.mgh.harvard.edu/",
+		"description": "http://purl.org/dc/terms/description"
+	}
+],
+"BIDSProvVersion": "1.0.0",
+"records": 	
+		{
+		"prov:Agent" : [
+			{
+		
+	            "@id": "RRID:SCR_001847",
+	            "@type": "prov:SoftwareAgent",
+				"label" : "Freesurfer",
+				"version": "6.0.0"
+		
+			}
+		],
+		"prov:Activity" : [
+			{
+				"@id": "niiri:ff2754fe-1585-11eb-b1e7-1094bbf2086c",
+	            "description": "Freesurfer segmentation statistics",
+				"startedAtTime" : "2018-11-27T21:42:49",
+				"wasAttributedTo": "RRID:SCR_001847",
+	            "freesurfer:ColorTable": "/opt/freesurfer-6.0.0-min/ASegStatsLUT.txt",
+	            "freesurfer:ColorTableTimeStamp": "2017/01/18 22:00:02",
+	            "freesurfer:ExcludeSegId": "0 2 3 41 42",
+	            "freesurfer:Excluding": "Cortical Gray and White Matter",
+	            "freesurfer:InVolFile": "mri/norm.mgz",
+	            "freesurfer:InVolFileTimeStamp": "2018/11/27 21:42:49",
+	            "freesurfer:InVolFrame": "0",
+	            "freesurfer:NRows": "45",
+	            "freesurfer:NTableCols": "10",
+	            "freesurfer:PVVolFile": "mri/norm.mgz",
+	            "freesurfer:PVVolFileTimeStamp": "2018/11/27 21:42:49",
+	            "freesurfer:SUBJECTS_DIR": "/working/derivatives/mindboggle/freesurfer_subjects",
+	            "freesurfer:SegVolFile": "mri/aseg.mgz",
+	            "freesurfer:SegVolFileTimeStamp": "2018/11/28 04:51:14",
+	            "freesurfer:Title": "Segmentation Statistics",
+	            "freesurfer:VoxelVolume_mm3": "1",
+	            "freesurfer:anatomy_type": "volume",
+	            "freesurfer:cmdline": "mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /opt/freesurfer-6.0.0-min/ASegStatsLUT.txt --subject sub-0050660",
+	            "freesurfer:cvs_version": "$Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $",
+	            "freesurfer:generating_program": "mri_segstats",
+	            "freesurfer:hostname": "ip-172-31-44-23",
+	            "freesurfer:machine": "x86_64",
+	            "freesurfer:subjectname": "sub-0050660",
+	            "freesurfer:sysname": "Linux",
+	            "freesurfer:user": "root"	
+			}
+		]
+		
+	}
+}
\ No newline at end of file

From 2cae3710cb61292123c08b2851d13929e964daa3 Mon Sep 17 00:00:00 2001
From: David Keator <dbkeator@gmail.com>
Date: Thu, 17 Jun 2021 15:12:25 -0700
Subject: [PATCH 135/137] fixing typo

---
 examples/freesurfer_segs/README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/examples/freesurfer_segs/README.md b/examples/freesurfer_segs/README.md
index 6226b33e1..27b1dd96d 100644
--- a/examples/freesurfer_segs/README.md
+++ b/examples/freesurfer_segs/README.md
@@ -9,4 +9,4 @@ this example.
 
 In this example, I didn't parse up the freesurfer:cmdline to separate out all the parameters.  I wasn't sure yet how to format that in BIDS-Prov.  
 
-In case you don't like to read jsonld files, you can see a visualation [here](https://drive.google.com/file/d/1mwhcetcJMT-1CwghJZ1_ILnaXEiPaDmw/view?usp=sharing).
+In case you don't like to read jsonld files, you can see a visualization [here](https://drive.google.com/file/d/1mwhcetcJMT-1CwghJZ1_ILnaXEiPaDmw/view?usp=sharing).

From 0cf6e4df500ce231cf9dfd4f5c507ad49c271420 Mon Sep 17 00:00:00 2001
From: David Keator <dbkeator@gmail.com>
Date: Thu, 17 Jun 2021 15:14:24 -0700
Subject: [PATCH 136/137] beautifying indentation...lol

---
 .../freesurfer_provenance.jsonld              | 84 +++++++++----------
 1 file changed, 40 insertions(+), 44 deletions(-)

diff --git a/examples/freesurfer_segs/freesurfer_provenance.jsonld b/examples/freesurfer_segs/freesurfer_provenance.jsonld
index 7a0436109..e57e783e1 100644
--- a/examples/freesurfer_segs/freesurfer_provenance.jsonld
+++ b/examples/freesurfer_segs/freesurfer_provenance.jsonld
@@ -1,57 +1,53 @@
 {
-"@context": [
-	"https://purl.org/nidash/bidsprov/context.json",
-	{
-		"freesurfer": "https://surfer.nmr.mgh.harvard.edu/",
-		"description": "http://purl.org/dc/terms/description"
-	}
-],
-"BIDSProvVersion": "1.0.0",
-"records": 	
+	"@context": [
+		"https://purl.org/nidash/bidsprov/context.json",
 		{
-		"prov:Agent" : [
+			"freesurfer": "https://surfer.nmr.mgh.harvard.edu/",
+			"description": "http://purl.org/dc/terms/description"
+		}
+	],
+	"BIDSProvVersion": "1.0.0",
+	"records": {
+		"prov:Agent": [
 			{
-		
-	            "@id": "RRID:SCR_001847",
-	            "@type": "prov:SoftwareAgent",
-				"label" : "Freesurfer",
+				"@id": "RRID:SCR_001847",
+				"@type": "prov:SoftwareAgent",
+				"label": "Freesurfer",
 				"version": "6.0.0"
-		
 			}
 		],
-		"prov:Activity" : [
+		"prov:Activity": [
 			{
 				"@id": "niiri:ff2754fe-1585-11eb-b1e7-1094bbf2086c",
-	            "description": "Freesurfer segmentation statistics",
-				"startedAtTime" : "2018-11-27T21:42:49",
+				"description": "Freesurfer segmentation statistics",
+				"startedAtTime": "2018-11-27T21:42:49",
 				"wasAttributedTo": "RRID:SCR_001847",
-	            "freesurfer:ColorTable": "/opt/freesurfer-6.0.0-min/ASegStatsLUT.txt",
-	            "freesurfer:ColorTableTimeStamp": "2017/01/18 22:00:02",
-	            "freesurfer:ExcludeSegId": "0 2 3 41 42",
-	            "freesurfer:Excluding": "Cortical Gray and White Matter",
-	            "freesurfer:InVolFile": "mri/norm.mgz",
-	            "freesurfer:InVolFileTimeStamp": "2018/11/27 21:42:49",
-	            "freesurfer:InVolFrame": "0",
-	            "freesurfer:NRows": "45",
-	            "freesurfer:NTableCols": "10",
-	            "freesurfer:PVVolFile": "mri/norm.mgz",
-	            "freesurfer:PVVolFileTimeStamp": "2018/11/27 21:42:49",
-	            "freesurfer:SUBJECTS_DIR": "/working/derivatives/mindboggle/freesurfer_subjects",
-	            "freesurfer:SegVolFile": "mri/aseg.mgz",
-	            "freesurfer:SegVolFileTimeStamp": "2018/11/28 04:51:14",
-	            "freesurfer:Title": "Segmentation Statistics",
-	            "freesurfer:VoxelVolume_mm3": "1",
-	            "freesurfer:anatomy_type": "volume",
-	            "freesurfer:cmdline": "mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /opt/freesurfer-6.0.0-min/ASegStatsLUT.txt --subject sub-0050660",
-	            "freesurfer:cvs_version": "$Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $",
-	            "freesurfer:generating_program": "mri_segstats",
-	            "freesurfer:hostname": "ip-172-31-44-23",
-	            "freesurfer:machine": "x86_64",
-	            "freesurfer:subjectname": "sub-0050660",
-	            "freesurfer:sysname": "Linux",
-	            "freesurfer:user": "root"	
+				"freesurfer:ColorTable": "/opt/freesurfer-6.0.0-min/ASegStatsLUT.txt",
+				"freesurfer:ColorTableTimeStamp": "2017/01/18 22:00:02",
+				"freesurfer:ExcludeSegId": "0 2 3 41 42",
+				"freesurfer:Excluding": "Cortical Gray and White Matter",
+				"freesurfer:InVolFile": "mri/norm.mgz",
+				"freesurfer:InVolFileTimeStamp": "2018/11/27 21:42:49",
+				"freesurfer:InVolFrame": "0",
+				"freesurfer:NRows": "45",
+				"freesurfer:NTableCols": "10",
+				"freesurfer:PVVolFile": "mri/norm.mgz",
+				"freesurfer:PVVolFileTimeStamp": "2018/11/27 21:42:49",
+				"freesurfer:SUBJECTS_DIR": "/working/derivatives/mindboggle/freesurfer_subjects",
+				"freesurfer:SegVolFile": "mri/aseg.mgz",
+				"freesurfer:SegVolFileTimeStamp": "2018/11/28 04:51:14",
+				"freesurfer:Title": "Segmentation Statistics",
+				"freesurfer:VoxelVolume_mm3": "1",
+				"freesurfer:anatomy_type": "volume",
+				"freesurfer:cmdline": "mri_segstats --seg mri/aseg.mgz --sum stats/aseg.stats --pv mri/norm.mgz --empty --brainmask mri/brainmask.mgz --brain-vol-from-seg --excludeid 0 --excl-ctxgmwm --supratent --subcortgray --in mri/norm.mgz --in-intensity-name norm --in-intensity-units MR --etiv --surf-wm-vol --surf-ctx-vol --totalgray --euler --ctab /opt/freesurfer-6.0.0-min/ASegStatsLUT.txt --subject sub-0050660",
+				"freesurfer:cvs_version": "$Id: mri_segstats.c,v 1.121 2016/05/31 17:27:11 greve Exp $",
+				"freesurfer:generating_program": "mri_segstats",
+				"freesurfer:hostname": "ip-172-31-44-23",
+				"freesurfer:machine": "x86_64",
+				"freesurfer:subjectname": "sub-0050660",
+				"freesurfer:sysname": "Linux",
+				"freesurfer:user": "root"
 			}
 		]
-		
 	}
 }
\ No newline at end of file

From cd87bc724a41a6b230bc8bca31f3068764218da9 Mon Sep 17 00:00:00 2001
From: David Keator <dbkeator@gmail.com>
Date: Thu, 17 Jun 2021 15:24:59 -0700
Subject: [PATCH 137/137] added link to freesurfer segmentation statistics ->
 NIDM / jsonld tool

---
 examples/freesurfer_segs/README.md | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

diff --git a/examples/freesurfer_segs/README.md b/examples/freesurfer_segs/README.md
index 27b1dd96d..2ebdcf861 100644
--- a/examples/freesurfer_segs/README.md
+++ b/examples/freesurfer_segs/README.md
@@ -1,12 +1,10 @@
 # Freesurfer Segmentation Statistics Export Example
 
 This example is derived from our [NIDM representations of ABIDE-1 BIDS data](https://github.com/dbkeator/simple2_NIDM_examples/tree/master/datasets.datalad.org/abide/RawDataBIDS).  
-Along with the BIDS data conversion to NIDM we added Freesurfer-derived segmentation statistics (and segmentations using FSL and ANTS).  The jsonld provenance example included here
-was taken from the CMU_A site NIDM jsonld file and modified to be more BIDS-Prov like based on the current extension documentation.  Note, I've only kept the 
-prov:Activity and prov:Agent (software agent) from the original NIDM jsonld file.  The NIDM jsonld file also includes a prov:Entity, containing the actual volume and other statistics
-for each participant,  which is prov:wasDerivedFrom the prov:Activity shown in
-this example.
+Along with the BIDS data conversion to NIDM we added Freesurfer-derived segmentation statistics (and segmentations using FSL and ANTS).  The jsonld provenance example included here was taken from the CMU_A site NIDM jsonld file and modified to be more BIDS-Prov like based on the current extension documentation.  Note, I've only kept the prov:Activity and prov:Agent (software agent) from the original NIDM jsonld file.  The NIDM jsonld file also includes a prov:Entity, containing the actual volume and other statistics for each participant,  which is prov:wasDerivedFrom the prov:Activity shown in this example.
 
 In this example, I didn't parse up the freesurfer:cmdline to separate out all the parameters.  I wasn't sure yet how to format that in BIDS-Prov.  
 
 In case you don't like to read jsonld files, you can see a visualization [here](https://drive.google.com/file/d/1mwhcetcJMT-1CwghJZ1_ILnaXEiPaDmw/view?usp=sharing).
+
+The tool used to convert/export the freesurfer segmentation results located [here](https://github.com/repronim/segstats_jsonld)