diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..a9826db
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,10 @@
+[project]
+name = "antares-timeseries-generation"
+version = "0.0.1"
+license = {text="MPL-2.0"}
+dependencies = [ "numpy", "pandas", "PyYAML" ]
+classifiers = [
+  "Development Status :: 4 - Beta",
+  "License :: OSI Approved :: MIT License",
+  "License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)"
+]
diff --git a/requirements-dev.txt b/requirements-dev.txt
index ec07d25..2d42293 100644
--- a/requirements-dev.txt
+++ b/requirements-dev.txt
@@ -1,5 +1,8 @@
-pytest~=7.0.0
-mypy~=1.7.1
 black~=23.7.0
 isort~=5.12.0
-pytest-cov
\ No newline at end of file
+matplotlib>=3.5.1
+mypy~=1.7.1
+pandas-stubs
+pytest-cov
+pytest~=7.0.0
+types-PyYAML
diff --git a/requirements.txt b/requirements.txt
index 6a94757..41a18c1 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -1,2 +1,3 @@
 numpy==1.24.4
-matplotlib==3.5.1
\ No newline at end of file
+pandas
+PyYAML
diff --git a/src/cluster_parsing.py b/src/cluster_parsing.py
new file mode 100644
index 0000000..a621318
--- /dev/null
+++ b/src/cluster_parsing.py
@@ -0,0 +1,48 @@
+# Copyright (c) 2024, RTE (https://www.rte-france.com)
+#
+# See AUTHORS.txt
+#
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#
+# SPDX-License-Identifier: MPL-2.0
+#
+# This file is part of the Antares project.
+
+from pathlib import Path
+from typing import Iterable, Optional, TextIO, Tuple
+
+import pandas as pd
+from pydantic import BaseModel, Field
+from yaml import safe_load
+
+
+def _to_kebab(snake: str) -> str:
+    return snake.replace("_", "-")
+
+
+class InputCluster(BaseModel):
+    unit_count: int
+    nominal_power: float
+    fo_law: str
+    fo_volatility: float
+    po_law: str
+    po_volatility: float
+
+    class Config:
+        alias_generator = _to_kebab
+        extra = "forbid"
+
+
+def parse_yaml_cluster(input_cluster: TextIO) -> InputCluster:
+    tree = safe_load(input_cluster)
+    return InputCluster.model_validate(tree["cluster"])
+
+
+def parse_cluster_ts(
+    file: Path, shape: Optional[Tuple[int, int]] = None
+) -> pd.core.frame.DataFrame:
+    ts = pd.read_csv(file)
+    assert shape is None or ts.shape == shape
+    return ts
diff --git a/src/cluster_resolve.py b/src/cluster_resolve.py
new file mode 100644
index 0000000..7ddb227
--- /dev/null
+++ b/src/cluster_resolve.py
@@ -0,0 +1,39 @@
+# Copyright (c) 2024, RTE (https://www.rte-france.com)
+#
+# See AUTHORS.txt
+#
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#
+# SPDX-License-Identifier: MPL-2.0
+#
+# This file is part of the Antares project.
+
+import pandas as pd
+
+from cluster_parsing import InputCluster
+from ts_generator import ProbilityLaw, ThermalCluster
+
+
+def resolve_thermal_cluster(
+    parsed_yaml: InputCluster,
+    parameters_ts: pd.core.frame.DataFrame,
+    modulation: pd.core.frame.DataFrame,
+) -> ThermalCluster:
+    law_dict = {"UNIFORM": ProbilityLaw.UNIFORM, "GEOMETRIC": ProbilityLaw.GEOMETRIC}
+    return ThermalCluster(
+        unit_count=parsed_yaml.unit_count,
+        nominal_power=parsed_yaml.nominal_power,
+        modulation=modulation["modulation"].to_list(),
+        fo_law=law_dict[parsed_yaml.fo_law],
+        fo_volatility=parsed_yaml.fo_volatility,
+        po_law=law_dict[parsed_yaml.po_law],
+        po_volatility=parsed_yaml.po_volatility,
+        fo_duration=parameters_ts["FOD"].to_list(),
+        fo_rate=parameters_ts["FOR"].to_list(),
+        po_duration=parameters_ts["POD"].to_list(),
+        po_rate=parameters_ts["POR"].to_list(),
+        npo_min=parameters_ts["POMax"].to_list(),
+        npo_max=parameters_ts["POMin"].to_list(),
+    )
diff --git a/src/main.py b/src/main.py
new file mode 100644
index 0000000..cb6f375
--- /dev/null
+++ b/src/main.py
@@ -0,0 +1,42 @@
+# Copyright (c) 2024, RTE (https://www.rte-france.com)
+#
+# See AUTHORS.txt
+#
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#
+# SPDX-License-Identifier: MPL-2.0
+#
+# This file is part of the Antares project.
+import argparse
+from pathlib import Path
+from typing import List, Optional
+
+
+def main() -> None:
+    parser = argparse.ArgumentParser()
+    parser.add_argument(
+        "--study", type=Path, help="path to the root directory of the study"
+    )
+    parser.add_argument(
+        "--models", nargs="+", type=Path, help="list of path to model file, *.yml"
+    )
+    parser.add_argument(
+        "--component", type=Path, help="path to the component file, *.yml"
+    )
+    parser.add_argument(
+        "--timeseries", type=Path, help="path to the timeseries directory"
+    )
+    parser.add_argument(
+        "--duration", type=int, help="duration of the simulation", default=1
+    )
+    parser.add_argument(
+        "--scenario", type=int, help="number of scenario of the simulation", default=1
+    )
+
+    args = parser.parse_args()
+
+
+if __name__ == "__main__":
+    main()
diff --git a/src/mersenne_twister.py b/src/mersenne_twister.py
new file mode 100644
index 0000000..1976703
--- /dev/null
+++ b/src/mersenne_twister.py
@@ -0,0 +1,92 @@
+# Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
+# All rights reserved.
+#
+# Redistribution and use in source and binary forms, with or without
+# modification, are permitted provided that the following conditions
+# are met:
+#
+#  1. Redistributions of source code must retain the above copyright
+#          notice, this list of conditions and the following disclaimer.
+#
+#  2. Redistributions in binary form must reproduce the above copyright
+#          notice, this list of conditions and the following disclaimer in the
+#          documentation and/or other materials provided with the distribution.
+#
+#  3. The names of its contributors may not be used to endorse or promote
+#          products derived from this software without specific prior written
+#          permission.
+#
+# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+# A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+# CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+# EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+# PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+# LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+# NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+from typing import List, Tuple
+
+
+class MersenneTwister:
+    periodN: int = 624
+    periodM: int = 397
+    MATRIX_A: int = 0x9908B0DF
+    UPPER_MASK: int = 0x80000000
+    LOWER_MASK: int = 0x7FFFFFFF
+
+    MAG: Tuple[int, int] = (0, MATRIX_A)
+
+    mt: List[int] = [0] * periodN
+
+    mti: int = 0
+
+    @classmethod
+    def seed(self, seed: int) -> None:
+        self.mt[0] = seed & 0xFFFFFFFF
+        for i in range(1, self.periodN):
+            self.mt[i] = 1812433253 * (self.mt[i - 1] ^ (self.mt[i - 1] >> 30)) + i
+            self.mt[i] &= 0xFFFFFFFF  # to be under 32 bits
+
+        self.mti = self.periodN
+
+    @classmethod
+    def next(self) -> float:
+        if self.mti == self.periodN:
+            for j in range(self.periodN - self.periodM):
+                y = (self.mt[j] & self.UPPER_MASK) | (self.mt[j + 1] & self.LOWER_MASK)
+                self.mt[j] = self.mt[j + self.periodM] ^ (y >> 1) ^ self.MAG[y & 1]
+
+            for j in range(self.periodN - self.periodM, self.periodN - 1):
+                y = (self.mt[j] & self.UPPER_MASK) | (self.mt[j + 1] & self.LOWER_MASK)
+                self.mt[j] = (
+                    self.mt[j + self.periodM - self.periodN]
+                    ^ (y >> 1)
+                    ^ self.MAG[y & 1]
+                )
+
+            y = (self.mt[self.periodN - 1] & self.UPPER_MASK) | (
+                self.mt[0] & self.LOWER_MASK
+            )
+            self.mt[self.periodN - 1] = (
+                self.mt[self.periodM - 1] ^ (y >> 1) ^ self.MAG[y & 1]
+            )
+
+            self.mti = 0
+
+        y = self.mt[self.mti]
+        self.mti += 1
+
+        y ^= y >> 11
+        y ^= (y << 7) & 0x9D2C5680
+        y ^= (y << 15) & 0xEFC60000
+        y ^= y >> 18
+
+        return y / 4294967295
+
+    @classmethod
+    def reset(self) -> None:
+        self.seed(5489)
diff --git a/src/ts_generator.py b/src/ts_generator.py
index ef1ffc6..6c357fe 100644
--- a/src/ts_generator.py
+++ b/src/ts_generator.py
@@ -18,17 +18,24 @@
 from typing import Any, List, Optional, Tuple
 
 import numpy as np
+from numpy.typing import ArrayLike
+
+from mersenne_twister import MersenneTwister
 
 # probabilities above FAILURE_RATE_EQ_1 are considered certain (equal to 1)
 FAILURE_RATE_EQ_1 = 0.999
 
 
-class rndgenerator:
+class PythonGenerator:
     @classmethod
     def next(self) -> float:
         return random()
 
 
+rndgenerator = MersenneTwister
+rndgenerator.seed(1)
+
+
 class ProbilityLaw(Enum):
     UNIFORM = "UNIFORM"
     GEOMETRIC = "GEOMETRIC"
@@ -80,7 +87,7 @@ def generate_duration(self, day: int) -> int:
         generation of random outage duration
         """
         rnd_nb = rndgenerator.next()
-        return min(int(1 + self.a[day] + self.b[day] * log(rnd_nb)), 1999)  ## to change
+        return min(int(1 + self.a[day] + self.b[day] * log(rnd_nb)), 1999)
 
 
 @dataclass
@@ -127,7 +134,6 @@ class ThermalDataGenerator:
     def __init__(self, days_per_year: int = 365) -> None:
         self.days_per_year = days_per_year
 
-        ## explain that ??
         self.log_size = 4000  # >= 5 * (max(df) + max(dp))
         # the number of starting (if positive)/ stopping (if negative) units (due to FO and PO) at a given time
         self.LOG = [0] * self.log_size
@@ -242,10 +248,6 @@ def generate_time_series(
             hour = 0
 
             for day in range(self.days_per_year):
-                if cur_nb_AU > 100:  ## it was like that in c++, i'm not shure why
-                    # maybe it's for the pow (FPOW, PPOW) calculation, if so it might not be the right place to do
-                    raise ValueError("avalaible unit number out of bound (> 100)")
-
                 # = return of units wich were in outage =
                 cur_nb_PO -= self.LOGP[now]
                 self.LOGP[
diff --git a/tests/data/cluster.yaml b/tests/data/cluster.yaml
new file mode 100644
index 0000000..55b4812
--- /dev/null
+++ b/tests/data/cluster.yaml
@@ -0,0 +1,7 @@
+cluster:
+  unit-count : 1
+  nominal-power : 500
+  fo-law : UNIFORM
+  fo-volatility : 0
+  po-law : UNIFORM
+  po-volatility : 0
\ No newline at end of file
diff --git a/tests/data/cluster_40.csv b/tests/data/cluster_40.csv
new file mode 100644
index 0000000..4aa307d
--- /dev/null
+++ b/tests/data/cluster_40.csv
@@ -0,0 +1,14 @@
+CLUSTER 1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+unit count,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+nominal power,1000,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+day modulation [24],1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+fo law,UNIFORM,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+fo volatility,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+po law,UNIFORM,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+po volatility,0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,
+fo duration [255],7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7
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+total PO :,35424890265862,total FO :,125344325596032
+PO rate :,24263623469.7685,FO rate :,85852277805.5014
diff --git a/tests/output/geometric_law_distrib.png b/tests/output/geometric_law_distrib.png
index dc0b98c..7d8cec5 100644
Binary files a/tests/output/geometric_law_distrib.png and b/tests/output/geometric_law_distrib.png differ
diff --git a/tests/output/test_100_unit_cluster.csv b/tests/output/test_100_unit_cluster.csv
index 85848f3..fbbcb75 100644
--- a/tests/output/test_100_unit_cluster.csv
+++ b/tests/output/test_100_unit_cluster.csv
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-"outage duration ([POD, FOD]) :"
-"(1, 4, 0, 2, 8)","(1, 0, 0, 2, 0)","(2, 4, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 5, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 0, 0, 2, 0)","(1, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(0, 3, 0, 0, 8)","(4, 6, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 6, 0, 2, 8)","(1, 0, 0, 2, 0)","(2, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(0, 6, 0, 0, 8)","(2, 2, 0, 2, 8)","(2, 6, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(1, 3, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 5, 0, 2, 8)","(0, 5, 0, 0, 8)","(2, 1, 0, 2, 8)","(0, 2, 0, 0, 8)","(3, 6, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 3, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 0, 0, 2, 0)","(3, 1, 0, 2, 8)","(0, 3, 0, 0, 8)","(3, 4, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 3, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 0, 0, 2, 0)","(1, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 0, 0, 2, 0)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 6, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 3, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 6, 0, 2, 8)","(3, 5, 0, 2, 8)","(2, 5, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(0, 0, 0, 0, 0)","(2, 4, 0, 2, 8)","(3, 0, 0, 2, 0)","(1, 0, 0, 2, 0)","(3, 0, 0, 2, 0)","(2, 3, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(1, 8, 0, 2, 8)","(2, 5, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 1, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 7, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 0, 0, 2, 0)","(4, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 0, 0, 2, 0)","(0, 3, 0, 0, 8)","(3, 3, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 5, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 0, 0, 2, 0)","(1, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(3, 2, 0, 2, 8)","(0, 0, 0, 0, 0)","(5, 2, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 1, 0, 2, 8)","(3, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 4, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 0, 0, 2, 0)","(3, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 5, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 0, 0, 2, 0)","(1, 3, 0, 2, 8)","(2, 0, 0, 2, 0)","(0, 4, 0, 0, 8)","(2, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(3, 3, 0, 2, 8)","(1, 0, 0, 2, 0)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(4, 3, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 0, 0, 2, 0)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 5, 0, 2, 8)","(3, 0, 0, 2, 0)","(2, 3, 0, 2, 8)","(0, 3, 0, 0, 8)","(3, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 6, 0, 2, 8)","(2, 6, 0, 2, 8)","(1, 0, 0, 2, 0)","(4, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 2, 0, 2, 8)","(0, 1, 0, 0, 8)","(3, 4, 0, 2, 8)","(2, 0, 0, 2, 0)","(1, 0, 0, 2, 0)","(2, 4, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 6, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 7, 0, 2, 8)","(2, 4, 0, 2, 8)","(3, 2, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 5, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 5, 0, 2, 8)","(1, 0, 0, 2, 0)","(1, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 0, 0, 2, 0)","(2, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 5, 0, 2, 8)","(3, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 6, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(3, 2, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 0, 0, 2, 0)","(1, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(0, 1, 0, 0, 8)","(4, 2, 0, 2, 8)","(0, 1, 0, 0, 8)","(3, 5, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 5, 0, 2, 8)","(2, 5, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 0, 0, 2, 0)","(1, 2, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 0, 0, 2, 0)","(1, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 5, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 5, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 5, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 0, 0, 2, 0)","(3, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 0, 0, 2, 0)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 0, 0, 2, 0)","(1, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 2, 0, 2, 8)"
-"(3, 2, 0, 2, 8)","(0, 1, 0, 0, 8)","(2, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 0, 0, 2, 0)","(2, 1, 0, 2, 8)","(0, 6, 0, 0, 8)","(3, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 3, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 0, 0, 0, 0)","(4, 1, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 0, 0, 2, 0)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 0, 0, 2, 0)","(2, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(1, 4, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 4, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 0, 0, 2, 0)","(2, 2, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 1, 0, 2, 8)","(1, 5, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(4, 0, 0, 2, 0)","(1, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 0, 0, 2, 0)","(0, 3, 0, 0, 8)","(5, 3, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 0, 0, 2, 0)","(2, 0, 0, 2, 0)","(3, 3, 0, 2, 8)","(0, 4, 0, 0, 8)","(2, 4, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 2, 0, 0, 8)","(4, 4, 0, 2, 8)","(1, 5, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 3, 0, 2, 8)","(0, 1, 0, 0, 8)","(3, 2, 0, 2, 8)","(2, 6, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(0, 4, 0, 0, 8)","(2, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 0, 0, 2, 0)","(0, 4, 0, 0, 8)","(4, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(3, 0, 0, 2, 0)","(0, 1, 0, 0, 8)","(2, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 5, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(0, 3, 0, 0, 8)","(2, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(3, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(2, 0, 0, 2, 0)","(1, 3, 0, 2, 8)","(4, 1, 0, 2, 8)","(1, 4, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(0, 7, 0, 0, 8)","(2, 3, 0, 2, 8)","(3, 0, 0, 2, 0)","(2, 5, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(1, 3, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(4, 2, 0, 2, 8)","(0, 3, 0, 0, 8)","(4, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(4, 4, 0, 2, 8)","(1, 6, 0, 2, 8)","(4, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 5, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 3, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 5, 0, 2, 8)","(0, 2, 0, 0, 8)","(5, 3, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 4, 0, 2, 8)","(1, 6, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 6, 0, 2, 8)","(2, 3, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 5, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 5, 0, 2, 8)","(1, 4, 0, 2, 8)","(1, 0, 0, 2, 0)","(1, 4, 0, 2, 8)","(2, 4, 0, 2, 8)","(1, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 0, 0, 2, 0)","(3, 1, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 0, 0, 2, 0)","(3, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(0, 3, 0, 0, 8)","(3, 4, 0, 2, 8)","(2, 3, 0, 2, 8)","(2, 3, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 0, 0, 2, 0)","(0, 2, 0, 0, 8)","(2, 0, 0, 2, 0)","(3, 4, 0, 2, 8)","(0, 8, 0, 0, 8)","(2, 6, 0, 2, 8)","(0, 5, 0, 0, 8)","(2, 4, 0, 2, 8)","(0, 1, 0, 0, 8)","(2, 4, 0, 2, 8)","(0, 0, 0, 0, 0)","(2, 4, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 3, 0, 2, 8)","(1, 0, 0, 2, 0)","(2, 3, 0, 2, 8)","(3, 1, 0, 2, 8)","(1, 0, 0, 2, 0)","(4, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(3, 5, 0, 2, 8)","(2, 3, 0, 2, 8)","(2, 1, 0, 2, 8)","(0, 2, 0, 0, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(0, 4, 0, 0, 8)","(2, 1, 0, 2, 8)","(0, 6, 0, 0, 8)","(5, 0, 0, 2, 0)","(0, 3, 0, 0, 8)","(2, 0, 0, 2, 0)","(2, 4, 0, 2, 8)","(2, 3, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 1, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 1, 0, 2, 8)","(3, 1, 0, 2, 8)","(2, 5, 0, 2, 8)","(2, 0, 0, 2, 0)","(3, 1, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 0, 0, 2, 0)","(2, 3, 0, 2, 8)","(0, 4, 0, 0, 8)","(2, 3, 0, 2, 8)","(3, 3, 0, 2, 8)","(2, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 4, 0, 2, 8)","(2, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(1, 1, 0, 2, 8)","(1, 1, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(3, 2, 0, 2, 8)","(2, 5, 0, 2, 8)","(1, 3, 0, 2, 8)","(4, 2, 0, 2, 8)","(1, 2, 0, 2, 8)","(1, 4, 0, 2, 8)","(2, 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-total PO :,65544,total FO :,359968
-PO rate :,0.0359,FO rate :,0.1972
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-2,5,5,4,5,2,2,2,2,4,2,2,3,3,5,5,4,3,3,3,3,5,4,3,3,2,5,5,2,2,2,2,2,2,2,3,5,4,3,5,5,3,3,4,3,3,5,4,5,5,2,2,4,4,2,2,5,5,4,3,2,2,2,4,2,2,2,2,2,2,2,2,4,2,4,5,4,5,3,5,5,2,2,2,5,5,3,2,2,2,2,5,5,5,5,3,5,5,4,5,5,5,4,5,5,5,5,3,5,5,3,5,3,2,5,3,2,2,2,2,2,3,2,5,5,2,4,5,5,4,3,4,4,5,5,3,2,3,5,5,3,4,4,2,2,5,5,2,3,4,4,3,4,5,5,5,5,5,5,5,3,2,2,2,3,5,5,4,4,4,4,2,4,5,2,2,3,4,4,4,5,5,4,5,4,3,3,4,5,5,5,4,5,5,5,5,5,4,3,4,2,4,5,4,4,3,5,5,5,5,2,2,3,2,5,5,3,2,3,4,4,5,2,2,5,4,3,5,3,3,3,3,5,5,5,3,5,5,4,5,3,5,5,5,4,3,5,5,5,3,2,5,5,2,5,5,3,4,4,5,4,3,4,5,4,2,2,4,5,2,2,2,2,2,2,5,4,2,3,4,3,2,2,3,2,2,3,2,2,2,4,4,2,2,3,5,5,5,5,4,3,2,4,5,4,5,5,2,3,4,4,5,5,5,3,3,5,5,5,5,5,5,3,5,5,3,4,4,4,2,2,3,2,2,5,5,4,5,5,5,2,2,4,5,5,3,2,4,5,3,2,3,5,5,3,5,5,2,2,2,2,3,4,5,4
-3,3,2,5,5,2,3,5,4,2,2,2,2,3,5,4,2,2,2,5,5,2,2,2,2,4,5,4,4,5,5,3,4,5,3,3,5,3,2,5,5,5,4,4,5,2,3,5,3,5,4,2,2,2,3,2,3,3,5,5,2,3,4,2,2,3,5,4,4,5,3,4,4,5,5,3,3,5,4,3,5,3,3,5,4,4,4,4,5,5,4,4,4,3,3,3,2,3,5,5,3,5,5,3,3,3,4,4,5,5,4,5,5,2,2,2,2,2,3,3,2,2,4,5,3,3,2,5,5,3,5,4,3,5,3,4,5,4,5,5,5,3,2,3,4,4,4,4,4,4,5,5,2,4,5,4,5,3,5,4,3,5,4,5,5,2,4,5,3,5,4,2,3,5,4,2,2,2,4,5,2,2,4,4,3,3,3,3,3,2,3,3,2,2,3,5,4,4,5,2,2,5,5,5,5,5,4,3,5,5,4,4,5,4,2,2,3,4,4,4,5,4,3,4,5,3,4,5,3,3,3,3,5,5,4,4,2,4,5,4,4,3,3,5,5,5,5,3,4,3,3,5,4,4,4,5,5,2,2,3,4,5,5,5,3,4,4,4,5,4,4,2,2,3,5,5,5,5,2,2,5,5,3,3,4,5,2,2,3,3,3,2,2,2,3,4,5,3,2,4,5,5,3,2,2,3,3,3,3,3,3,3,2,3,5,5,4,5,5,2,4,4,2,4,3,2,5,5,3,4,5,2,3,5,4,5,5,5,4,2,2,2,2,2,4,3,2,2,2,2,2,4,2,2,4,5,5,3,2,3,4,4,5,5,5
-5,5,4,3,4,3,5,5,3,3,4,4,3,5,5,3,4,5,3,2,2,3,2,2,3,4,4,5,5,3,5,4,4,4,3,5,3,2,5,4,4,4,5,4,5,5,2,3,4,4,4,3,2,5,4,2,3,3,2,2,2,4,4,3,5,5,4,2,3,4,3,4,3,5,4,2,2,4,4,2,3,3,3,2,2,2,2,2,3,4,5,4,4,3,2,2,2,4,2,3,5,3,3,4,4,3,4,5,3,5,5,2,2,2,2,5,5,2,2,3,4,3,2,3,5,5,2,3,5,4,3,4,5,3,3,3,2,2,2,2,2,2,2,2,3,2,2,2,3,4,5,5,2,4,3,2,2,2,2,2,4,3,2,2,2,2,2,2,2,2,3,5,4,5,5,3,5,3,2,4,4,3,2,3,5,4,2,5,5,2,4,3,2,2,5,5,3,5,2,2,2,2,4,3,3,3,2,3,3,5,5,3,5,5,5,5,2,3,5,2,3,3,2,2,4,5,3,3,4,4,2,5,5,2,4,3,3,3,3,4,5,5,2,4,5,5,3,5,5,5,5,4,4,2,5,5,3,2,5,5,2,2,3,3,3,4,5,4,2,2,3,5,5,4,5,3,4,5,3,2,2,5,4,2,2,3,2,2,5,4,3,4,3,4,5,4,4,5,4,2,2,3,2,2,2,2,2,2,5,5,4,3,3,3,2,4,5,4,3,2,2,5,4,2,3,4,4,2,5,5,5,5,2,2,3,4,4,2,2,3,4,5,4,5,4,2,2,2,2,2,2,2,2,2,2,2,2,3,3,3,4,3,5,5,3
-4,2,2,2,5,5,2,2,3,4,3,4,2,4,5,5,5,2,4,5,3,3,2,5,5,2,2,2,4,5,5,2,2,4,4,4,4,5,5,5,5,4,4,4,4,5,5,3,5,5,4,5,5,3,2,2,2,3,2,2,4,5,4,3,3,5,4,5,5,2,3,4,5,5,5,5,3,3,3,4,5,3,3,4,3,2,2,4,4,2,2,2,2,5,5,3,5,4,5,5,2,4,3,2,3,5,5,5,4,2,4,4,2,2,2,2,2,4,5,4,5,5,5,3,2,4,5,5,4,4,5,4,5,5,2,4,5,4,4,2,2,2,2,2,2,2,3,3,2,3,5,5,5,4,2,2,2,2,2,2,2,2,3,4,3,3,4,2,3,5,4,3,2,2,2,3,4,5,4,2,3,3,5,5,3,4,3,2,2,2,2,4,5,4,4,5,5,3,2,2,2,2,2,2,2,5,5,3,5,5,3,5,5,2,4,4,2,3,4,3,5,5,3,2,4,5,4,4,3,5,4,2,5,5,3,5,5,5,3,5,5,3,5,4,4,3,5,5,2,4,5,5,3,4,5,2,3,5,4,2,2,5,5,3,3,3,5,5,5,4,4,4,2,2,3,2,5,5,4,5,3,3,5,5,4,5,5,4,5,5,2,3,5,4,2,2,3,5,4,2,3,5,4,2,2,2,2,2,3,2,2,5,3,2,4,5,3,2,3,3,3,4,4,3,3,4,5,5,4,3,3,2,5,5,3,5,5,5,4,5,5,2,5,5,3,3,2,3,4,5,4,3,5,5,4,4,3,2,3,3,2,5,5,2,5
-5,4,4,2,5,5,2,2,5,5,2,3,3,4,5,4,2,3,5,3,3,3,3,3,5,5,2,3,5,5,3,5,4,2,5,5,2,2,4,5,3,2,5,5,2,3,4,5,4,2,2,3,3,2,4,2,2,3,3,5,5,4,4,5,5,3,4,5,2,2,2,2,5,5,5,3,3,3,2,4,3,2,5,5,5,5,5,5,3,3,5,5,5,5,4,5,5,5,4,3,2,5,5,4,4,4,5,3,4,5,5,5,3,2,2,2,2,2,4,3,2,3,2,2,3,5,4,2,2,2,2,3,3,5,5,2,5,4,2,4,3,3,3,2,3,5,5,3,4,5,3,3,5,5,4,4,4,4,4,5,4,2,3,4,4,2,3,5,5,5,5,4,4,5,2,2,2,2,2,2,2,2,2,2,2,2,4,3,2,2,5,5,2,3,5,5,4,5,5,5,4,5,5,3,3,3,2,2,2,2,2,2,3,2,3,3,3,3,3,5,5,5,5,3,4,4,2,5,5,2,5,5,2,2,3,5,5,4,5,5,5,5,5,3,2,2,2,2,2,5,5,5,5,4,3,5,5,4,3,2,2,2,2,2,2,4,4,4,5,3,3,5,5,4,5,5,4,5,5,5,5,2,2,5,5,4,5,3,2,5,5,4,4,4,5,4,3,2,5,5,2,2,3,3,2,5,5,5,5,3,4,5,5,3,2,5,5,3,3,5,5,5,5,5,5,2,2,3,2,3,5,4,3,5,5,3,5,5,3,5,4,2,4,5,4,4,5,3,3,5,3,3,5,2,3,5,5,5,3,5,5,2,2,2,2
-3,2,2,4,5,4,4,3,2,3,3,4,5,5,2,3,5,2,2,5,4,5,5,5,5,4,5,4,5,5,4,4,2,2,5,5,5,5,4,4,2,2,5,4,5,5,5,5,3,4,5,4,3,5,4,2,4,5,4,4,4,3,5,5,5,5,4,5,4,2,2,5,5,4,3,2,2,2,3,4,4,5,4,3,3,5,4,2,3,5,5,4,4,5,5,3,3,3,3,2,3,3,2,2,4,5,5,5,3,4,5,5,5,2,3,4,2,3,4,5,5,3,4,4,4,5,5,4,2,5,5,5,5,4,3,3,4,5,5,3,5,5,3,3,2,2,2,2,5,5,3,2,3,2,2,3,4,3,2,5,5,3,5,5,3,4,5,5,5,4,2,4,5,5,5,4,3,2,2,4,5,5,5,4,3,2,2,3,4,2,2,5,5,5,5,4,4,3,4,3,4,5,2,5,5,4,5,3,4,4,3,3,2,2,5,5,2,2,4,3,2,4,4,4,5,4,5,5,4,5,2,2,2,5,5,2,2,2,3,2,5,5,3,4,2,3,5,2,2,4,4,3,3,3,4,3,2,2,2,2,2,4,3,4,5,5,5,4,4,5,5,5,4,4,5,3,2,4,4,3,5,5,4,5,3,3,5,4,2,2,3,2,4,5,5,4,2,2,4,4,3,5,5,4,3,2,4,4,4,5,4,3,2,4,4,2,2,2,4,5,5,4,5,5,4,3,2,3,3,4,5,5,4,4,4,5,4,4,5,4,5,4,5,4,2,4,4,3,3,3,2,3,5,5,3,2,2,3,5,3,4,5,4,5,5
-5,3,3,5,4,2,4,5,5,5,4,5,5,3,3,3,2,2,2,2,2,3,5,5,3,4,5,3,4,4,2,3,5,5,4,5,4,2,4,5,3,2,4,5,2,2,5,5,4,4,2,3,5,3,2,3,5,5,5,5,3,5,5,2,4,5,4,2,3,5,3,3,5,4,5,5,2,2,4,5,4,2,3,4,2,3,3,5,5,2,2,5,5,3,4,4,4,3,2,2,3,5,5,5,5,5,4,2,4,4,2,2,2,5,5,5,5,2,5,5,5,5,2,4,4,4,5,3,2,4,5,5,3,2,3,3,4,4,5,5,4,5,5,2,2,3,3,3,3,2,2,3,5,5,2,3,5,3,2,3,3,4,3,2,3,4,5,5,4,4,5,3,3,4,5,5,4,5,2,4,5,2,2,2,3,5,5,3,2,3,3,2,4,5,3,2,2,4,4,3,5,5,2,2,4,5,4,4,4,5,5,4,4,3,2,4,5,2,3,2,2,2,2,5,5,5,3,5,5,2,3,2,4,4,2,2,2,2,2,5,5,3,3,5,5,2,5,5,2,2,2,3,2,2,4,3,3,4,5,5,3,4,5,4,3,3,4,3,5,5,5,5,2,5,5,2,2,5,5,4,5,5,5,3,2,2,3,4,2,2,5,5,2,2,2,2,4,4,4,4,5,4,3,5,5,3,5,5,5,5,2,5,5,2,2,4,4,5,5,3,5,4,2,4,4,3,5,4,3,4,5,5,4,5,3,2,2,3,5,5,5,5,5,5,5,5,5,5,5,5,5,3,5,5,3,4,5,5,3,2,2,4,4,3,5
-4,2,2,2,5,4,2,4,5,5,3,2,3,3,2,3,5,5,4,4,5,4,4,5,4,4,5,5,3,3,3,4,5,5,5,5,3,2,2,2,3,2,4,5,2,2,2,2,5,5,4,4,3,3,5,5,5,5,5,4,2,4,5,5,4,3,5,5,2,2,2,5,5,2,2,2,2,2,2,2,2,2,2,2,5,5,5,5,3,2,2,2,5,5,2,2,2,4,5,4,2,4,5,3,5,5,5,5,4,5,4,4,4,3,4,2,2,3,3,4,5,3,2,3,2,2,2,2,3,3,3,2,2,2,2,2,3,5,5,5,5,5,5,5,5,5,4,3,4,5,5,4,3,3,5,5,4,5,5,3,2,5,4,2,2,3,2,2,2,2,4,4,5,4,4,5,5,5,3,2,3,4,3,3,5,5,5,5,5,5,5,5,4,3,2,5,5,3,3,3,4,4,5,5,3,2,4,5,5,4,2,4,4,5,5,5,5,2,2,2,2,3,2,3,5,3,5,5,4,5,5,3,2,3,2,2,2,3,5,5,2,3,5,4,3,3,5,5,4,3,4,5,3,2,4,3,3,3,2,2,3,4,3,4,4,5,4,3,3,2,2,2,2,4,3,2,3,4,5,3,2,2,5,5,2,3,3,3,5,4,3,5,5,3,2,2,5,5,3,4,3,3,5,3,2,2,3,5,4,5,5,2,2,2,2,2,2,2,2,2,2,2,2,2,5,5,3,5,3,5,5,2,5,5,3,5,4,3,4,4,5,5,4,4,5,3,2,5,5,4,3,5,5,2,2,2,2,2,3,5,5,4,2,2,4
-4,2,5,5,4,5,2,2,5,5,4,5,5,4,3,5,5,5,4,3,3,5,5,4,5,5,5,5,5,5,5,3,2,2,4,5,4,3,4,4,4,5,5,5,4,5,4,5,4,3,4,5,5,5,5,2,5,5,2,2,2,2,5,5,2,3,2,2,2,2,2,2,4,5,3,3,5,5,5,5,5,5,5,5,5,2,2,5,5,5,5,5,3,2,5,4,5,5,4,4,4,5,5,5,5,5,5,4,4,4,2,2,2,2,2,2,2,2,2,3,4,2,2,2,3,5,2,5,5,2,5,5,5,5,4,5,4,3,4,4,3,3,4,5,5,2,2,4,4,5,5,5,5,4,5,3,2,4,3,2,2,2,2,3,3,2,2,3,2,4,5,2,2,2,2,2,2,5,5,4,5,5,4,3,5,5,2,2,3,4,4,4,4,5,5,2,2,3,3,4,5,3,2,2,3,3,4,4,2,2,2,4,5,4,5,5,5,3,2,3,2,4,5,5,4,3,5,5,4,3,3,2,3,4,2,4,5,3,4,4,5,4,2,4,5,5,5,3,3,5,3,2,5,5,2,5,5,3,5,5,3,2,2,2,2,5,4,3,5,5,5,5,5,5,5,5,5,2,3,5,3,3,5,4,2,3,5,5,3,4,5,5,5,5,4,4,5,4,4,5,5,5,5,5,5,5,5,4,5,4,2,4,4,2,2,2,2,3,3,2,5,5,2,3,5,5,4,5,4,2,4,5,3,3,4,4,5,3,2,2,4,4,2,2,3,5,3,4,5,5,4,3,3,2,3,4,3,2,2,4,4,2,3,5,5
-5,5,3,2,3,4,5,5,2,2,3,3,2,2,2,2,2,2,2,3,5,2,2,5,5,3,3,5,5,3,2,2,4,5,3,3,4,4,4,2,4,5,4,3,2,5,5,2,3,5,4,3,5,5,2,5,5,2,3,5,4,3,2,2,2,2,5,4,5,5,4,5,3,3,3,2,2,2,2,2,2,4,3,4,5,2,3,3,4,5,5,4,5,5,5,5,2,2,2,2,2,4,5,5,5,5,5,3,2,4,5,4,4,3,3,5,3,2,4,3,5,5,2,2,3,4,5,5,3,5,5,3,4,2,4,5,2,3,3,2,2,3,3,2,2,3,5,5,3,2,2,2,2,2,2,3,5,3,2,2,3,3,2,2,2,2,2,2,2,2,2,5,5,3,2,2,3,4,3,4,5,4,4,2,2,2,2,3,4,5,2,2,2,3,5,5,5,4,5,5,3,2,2,2,2,2,2,2,3,5,5,4,4,5,5,3,2,5,5,5,4,3,4,2,2,2,4,3,2,4,4,5,4,5,5,2,4,3,2,3,3,3,4,4,2,4,4,3,4,4,3,3,4,4,5,5,3,5,5,4,3,2,2,2,2,2,2,2,3,2,3,4,3,3,2,2,5,5,4,5,5,3,2,2,5,5,2,3,4,4,4,3,2,2,2,4,5,4,5,3,5,5,3,5,2,3,4,2,3,5,5,5,4,4,3,2,2,2,3,2,2,3,3,2,3,2,2,2,2,4,4,3,4,3,2,2,2,4,5,5,4,3,2,2,2,2,3,5,5,4,3,4,4,5,5,3,4,4,3,2,3,5,3,2,2
-2,4,4,3,4,5,3,2,2,3,4,4,5,5,3,2,4,5,3,3,5,5,2,2,2,2,5,5,3,3,4,5,5,5,3,2,2,2,5,5,5,4,2,2,2,2,2,2,3,4,4,3,3,5,5,3,4,4,2,2,2,3,4,5,5,4,3,3,3,2,2,5,5,4,4,2,3,5,5,4,5,5,2,4,5,3,5,5,5,5,2,3,5,5,3,4,5,4,5,2,4,5,5,5,4,5,5,4,4,5,2,3,5,5,4,3,4,5,5,3,2,5,5,3,4,3,4,4,3,2,2,5,5,3,5,5,5,5,2,3,3,2,2,2,3,4,2,5,5,2,2,2,4,4,4,5,5,5,4,4,5,3,2,2,5,5,3,5,5,5,4,3,5,4,2,2,2,3,3,3,4,5,4,3,5,5,5,5,5,4,4,5,4,3,3,4,5,3,2,3,4,4,2,3,3,5,5,5,5,3,5,5,5,5,3,4,4,3,4,5,5,5,5,3,5,5,4,4,2,2,4,3,3,5,5,4,3,5,5,3,2,5,5,4,5,4,5,5,3,3,5,3,5,5,2,2,4,5,5,5,3,5,5,4,4,4,3,2,3,5,5,3,3,2,2,2,2,3,4,5,3,2,3,5,3,2,4,4,2,2,5,5,4,5,4,3,3,4,3,4,5,3,4,4,2,2,4,5,5,3,5,4,3,5,5,5,5,5,4,2,4,5,4,4,3,3,3,5,5,5,5,3,2,3,5,4,3,2,2,4,3,2,2,2,2,2,2,2,2,2,2,2,2,4,5,3,5,5,2,3,2,2,3,4,5
-5,4,2,3,5,4,2,2,5,5,3,5,5,4,5,5,5,5,3,4,5,5,5,4,2,2,4,5,5,3,4,4,5,5,3,3,3,2,2,5,3,3,5,3,2,5,5,3,4,2,2,2,2,3,4,4,3,5,5,4,5,5,3,4,3,4,5,4,5,5,5,4,4,3,4,4,3,5,5,4,5,4,3,4,3,3,4,5,4,5,4,3,5,2,2,2,2,5,5,5,5,5,4,4,5,3,2,2,3,4,4,2,2,2,3,5,3,2,2,5,4,2,4,5,5,4,2,4,5,2,3,5,4,5,4,2,5,5,4,5,5,3,3,2,2,5,5,4,5,5,4,5,5,5,5,3,3,5,4,2,2,3,5,5,4,5,5,2,4,5,3,4,5,5,5,3,4,5,3,4,4,5,5,4,3,3,5,5,3,2,2,2,2,2,2,3,3,3,4,4,5,4,2,2,2,4,5,4,5,3,2,2,2,5,5,5,5,2,3,5,4,5,3,5,5,3,5,4,4,4,5,4,2,4,5,2,2,4,4,3,5,4,2,5,4,2,4,5,5,5,4,3,2,4,4,5,5,2,3,5,5,5,5,5,5,4,3,4,4,5,4,2,3,5,4,5,5,2,3,3,4,5,5,5,4,2,4,5,5,5,5,4,2,4,5,5,3,5,5,5,5,4,5,2,2,3,5,4,3,5,5,3,3,5,5,5,5,4,2,2,3,4,3,2,4,2,2,3,2,2,2,3,2,3,5,4,5,5,4,5,5,5,4,3,4,5,4,3,5,5,3,5,5,2,2,2,2,4,5,5,3,2,4,4,4
-4,3,2,2,2,2,2,3,5,5,5,4,3,3,3,2,2,5,4,2,3,4,3,2,5,5,3,4,2,2,5,4,2,2,2,3,5,5,3,4,4,4,4,3,2,3,5,4,4,5,4,3,5,5,2,2,3,4,5,3,3,4,5,3,5,5,2,4,3,5,5,2,4,3,2,3,3,5,3,2,4,4,5,5,4,4,2,2,5,5,2,3,5,3,3,4,4,3,5,5,3,4,5,3,2,2,3,4,2,2,5,5,3,2,2,2,2,3,4,4,2,4,4,2,2,2,5,5,4,5,5,5,5,4,4,5,5,5,4,5,5,3,2,2,3,4,2,5,5,2,4,3,5,4,2,2,2,2,2,5,5,4,5,5,3,2,5,5,3,5,5,5,4,3,5,5,3,2,5,5,4,4,3,4,2,2,3,3,4,5,5,2,2,3,4,5,3,2,2,5,5,5,5,3,3,5,5,3,5,4,2,3,2,2,5,4,2,5,5,2,3,4,3,5,4,3,3,2,2,2,2,2,2,4,4,4,5,5,5,3,3,2,4,5,4,5,5,5,5,4,3,4,4,2,2,3,5,4,2,4,5,4,2,2,4,4,3,3,4,5,4,2,4,3,3,5,3,5,5,3,4,5,4,3,3,3,3,3,4,2,4,5,4,4,3,3,4,5,3,5,5,5,5,3,5,4,5,5,2,5,5,4,5,4,5,3,2,3,2,4,5,5,5,5,5,5,5,5,5,4,4,3,5,5,4,3,2,5,5,3,5,5,5,5,4,5,5,4,3,3,4,4,2,4,5,5,5,4,3,2,2,2,2,3,5
-4,2,3,3,3,3,4,3,2,4,5,5,5,5,4,4,5,4,3,5,4,2,4,5,4,3,4,5,2,2,4,3,5,5,2,5,5,2,4,5,4,4,5,5,5,5,4,4,4,3,5,5,3,3,2,2,2,4,3,2,2,5,5,2,2,4,5,3,4,3,3,5,5,5,5,2,2,2,2,5,5,3,2,4,3,2,5,5,5,5,4,5,3,3,3,2,5,5,5,5,3,2,2,2,2,4,5,5,3,4,5,3,3,5,5,5,5,2,2,2,2,5,5,3,2,2,2,3,3,3,5,4,5,4,4,5,5,5,5,4,2,4,4,2,2,2,4,4,4,5,5,5,3,5,5,4,4,3,5,4,4,4,5,5,5,5,3,4,5,5,4,3,2,2,2,2,2,2,3,2,2,5,5,3,2,2,2,2,2,3,5,4,4,5,3,3,5,5,5,4,2,4,3,4,5,2,2,2,2,2,5,5,4,3,5,5,3,5,4,5,3,2,2,2,5,5,5,5,5,4,4,4,3,4,5,5,5,5,4,3,2,4,5,2,2,3,4,5,4,5,5,5,5,4,4,5,3,3,3,3,4,2,2,2,3,5,5,4,4,5,5,2,2,2,2,2,2,3,4,5,5,3,4,5,2,4,4,2,2,2,3,5,5,2,2,3,2,2,3,4,5,5,5,4,3,5,5,2,2,3,2,3,4,4,2,2,2,2,3,2,5,5,3,3,4,5,5,5,2,2,3,3,5,5,2,2,2,3,5,2,2,2,2,4,5,5,4,5,5,2,3,5,4,4,3,2,4,3,2,3,2,3,3,2,3
-5,3,2,4,3,2,2,3,5,4,4,4,4,4,2,3,4,5,5,4,5,5,5,5,3,2,4,5,5,5,4,3,2,2,3,4,5,5,2,5,5,2,4,4,3,3,5,4,2,4,4,3,3,2,5,5,3,4,2,2,3,4,3,3,5,3,2,5,4,2,2,2,3,4,5,5,5,5,4,4,5,3,4,5,4,4,5,5,3,5,5,4,5,3,3,4,5,4,3,5,5,5,5,5,5,2,4,5,2,2,4,5,3,4,4,4,4,2,2,3,3,2,2,2,2,4,3,2,4,3,5,5,3,5,5,2,2,3,5,5,2,2,2,2,2,3,4,5,4,2,2,2,2,4,4,2,5,5,2,3,3,2,2,2,2,2,2,3,4,3,3,5,4,4,4,3,5,4,3,3,3,3,4,5,4,3,5,5,3,4,3,2,2,5,5,3,5,4,2,3,4,3,2,2,3,2,2,5,4,2,4,5,4,5,5,3,4,5,3,3,3,2,2,3,2,2,3,3,4,4,3,4,4,5,5,3,3,5,5,3,2,3,5,2,4,5,2,5,5,5,5,5,5,2,5,4,2,2,4,5,3,4,5,5,5,5,5,4,4,4,5,4,3,5,2,2,2,3,5,5,5,4,5,4,2,2,2,2,4,5,3,3,3,3,5,5,4,3,3,3,2,4,5,4,4,4,3,3,2,2,3,2,2,2,2,5,4,4,5,2,2,2,2,2,2,4,4,3,3,3,3,2,2,3,5,4,3,5,5,3,2,3,3,4,4,2,4,5,5,4,3,3,3,3,2,2,5,5,3,4,2,3,5,5,5
-3,4,5,5,5,4,3,3,5,5,3,3,4,5,3,2,2,2,3,2,2,5,5,3,5,5,5,5,3,3,3,2,2,2,2,2,5,5,4,4,3,3,2,5,5,5,5,3,5,5,3,4,4,2,3,4,4,4,3,3,4,2,2,2,2,2,2,3,3,5,4,3,3,4,5,5,5,4,5,5,4,4,4,3,2,2,3,5,3,3,4,2,2,2,2,3,3,3,5,3,2,5,5,2,2,2,2,4,2,2,5,4,2,2,3,5,5,2,3,4,5,5,3,3,5,5,5,5,2,2,4,5,5,4,2,2,4,4,3,3,3,5,3,2,5,5,4,5,5,5,4,5,5,2,2,3,4,5,4,4,5,4,4,2,3,5,3,3,5,5,2,5,5,3,5,5,4,2,2,5,5,3,4,3,2,2,5,5,3,2,4,5,3,3,5,5,2,4,3,5,5,2,5,5,4,5,3,2,5,5,3,4,4,2,2,2,2,3,5,3,2,2,2,4,5,4,5,5,3,2,2,3,4,5,5,5,5,4,2,2,2,2,3,4,4,2,2,2,2,3,2,2,2,2,2,4,4,2,5,5,3,4,5,3,2,2,4,5,2,2,3,5,5,4,3,2,4,5,4,3,4,5,4,4,5,4,2,3,3,2,5,5,4,5,5,5,4,3,4,5,3,2,5,5,3,3,4,3,2,2,2,2,2,3,4,4,2,2,3,3,3,4,2,2,4,5,5,3,3,3,5,5,2,2,3,3,2,5,5,5,5,2,2,2,2,3,3,3,4,4,4,5,4,2,2,3,4,2,2,2,2,2,5,5,4
-5,2,2,2,2,2,4,4,2,4,3,2,4,5,3,2,4,2,2,3,4,3,2,2,2,5,4,2,2,3,5,5,5,5,5,5,5,4,4,4,5,5,4,5,5,4,5,4,5,5,3,4,2,2,2,3,3,5,5,2,4,5,4,2,3,5,4,3,4,5,3,5,5,2,3,2,2,5,4,2,2,5,5,2,2,3,5,4,3,4,2,2,4,2,2,2,2,2,3,5,2,2,3,2,2,2,3,3,2,5,5,2,2,4,5,5,3,2,5,5,3,4,4,4,5,2,2,3,2,4,4,3,5,5,4,4,5,5,4,5,5,3,3,2,2,4,2,2,2,2,5,4,2,4,5,3,3,4,5,5,3,2,2,2,2,2,4,5,4,2,2,3,2,2,5,5,2,5,5,2,3,5,5,3,3,3,4,4,3,5,5,3,3,4,4,5,5,3,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,4,3,2,4,2,2,3,2,2,2,2,2,3,5,4,2,3,3,4,5,4,2,2,5,5,3,3,2,2,3,3,4,3,2,4,3,2,3,3,2,4,5,2,4,5,4,4,3,4,5,5,5,4,5,3,2,2,2,2,2,4,3,2,3,5,5,2,3,5,3,5,5,3,5,4,4,5,3,2,2,5,5,2,3,4,5,4,4,4,5,5,2,2,2,2,3,2,5,5,2,2,2,3,5,5,2,2,2,3,4,2,3,5,2,2,2,4,5,2,2,2,4,4,2,2,3,3,2,2,5,5,4,5,5,4,3,5,5,3,4,5,2,2,5,5,5,5,4,3,3
-4,5,3,2,3,5,5,2,2,2,2,3,4,3,3,5,5,5,5,5,5,5,5,5,5,5,5,5,4,3,4,4,5,5,4,2,2,2,2,4,5,5,2,2,5,4,3,3,2,3,3,3,3,3,5,5,3,3,4,5,5,2,2,2,2,3,2,4,5,2,2,2,2,2,2,3,2,2,2,5,5,2,3,5,3,2,3,2,2,3,2,5,5,2,5,5,3,3,4,5,5,4,2,2,4,5,5,3,2,2,5,5,4,4,3,4,2,2,5,5,5,4,3,5,5,4,3,2,4,3,4,4,3,4,2,5,5,2,4,5,4,5,5,3,5,5,3,5,4,4,5,4,3,3,5,5,4,5,4,3,5,5,2,2,5,4,2,2,2,2,3,2,3,5,4,5,5,3,2,2,3,5,4,2,2,5,5,3,5,5,5,5,2,3,3,2,4,5,3,2,2,2,2,2,3,4,5,5,5,4,2,2,4,2,2,3,4,5,2,5,5,2,2,3,5,3,5,5,3,5,4,3,5,4,3,3,5,5,5,5,2,5,5,2,4,4,3,5,5,4,5,5,3,2,2,2,2,3,4,3,4,5,5,4,5,5,5,5,5,5,2,3,4,5,4,2,2,3,4,5,5,4,4,3,3,3,2,3,4,4,3,2,3,4,5,5,5,5,2,2,2,2,3,2,3,4,3,3,4,5,5,3,4,5,4,3,5,5,2,4,3,2,2,2,3,3,2,4,5,5,5,2,2,4,5,4,5,5,5,4,5,5,2,2,2,3,5,5,3,5,5,5,5,3,2,4,5,4,5,3,3,3,2,2,2
-2,2,2,3,3,5,5,2,4,5,2,5,5,2,5,5,4,4,3,4,4,2,2,2,4,4,3,5,5,4,5,5,2,3,5,3,3,5,4,4,4,2,5,4,2,2,2,2,4,5,4,5,4,2,2,3,3,2,4,5,4,4,3,5,4,3,4,3,5,5,2,3,5,4,4,5,5,5,4,4,4,5,4,5,5,3,4,4,2,2,3,2,4,5,5,4,4,5,3,3,5,5,4,5,3,2,4,4,5,5,4,5,5,5,4,3,3,2,2,4,5,3,5,5,5,5,3,4,2,4,5,3,5,5,5,4,2,5,5,2,2,2,3,2,2,4,2,2,3,5,5,2,2,4,5,5,5,5,4,5,5,5,5,5,5,2,3,4,5,5,4,3,3,3,5,5,3,4,5,5,5,4,2,4,4,3,2,4,4,5,5,2,4,3,3,5,5,5,4,5,5,3,5,5,2,2,5,5,5,3,2,3,2,4,5,2,3,5,5,5,3,3,3,3,2,3,5,5,3,2,4,4,4,4,5,5,4,2,2,5,5,5,5,4,4,5,5,4,2,2,5,4,2,5,5,5,5,2,2,5,5,5,4,3,5,2,2,5,5,4,3,3,4,4,2,4,5,2,2,2,2,2,2,3,5,5,3,5,5,5,5,3,3,3,4,4,5,3,5,5,2,4,3,2,2,2,3,2,5,5,2,2,2,2,5,5,3,4,2,2,4,3,4,5,2,2,3,3,5,5,2,3,4,4,5,4,3,3,4,4,3,3,4,4,4,4,3,4,5,5,3,3,5,5,4,5,5,3,2,2,5,5,3,3,5
-5,2,3,4,4,5,5,3,2,3,4,5,5,4,4,3,2,4,4,2,3,3,4,5,3,3,4,5,5,4,2,2,4,4,5,3,2,2,2,4,3,3,3,5,5,2,2,5,5,2,4,4,2,4,5,5,5,4,4,2,2,3,3,5,5,5,4,3,4,3,2,2,2,5,5,4,5,4,5,4,2,3,4,4,5,3,2,3,4,5,3,3,3,5,4,2,5,5,3,3,4,4,5,5,4,5,5,5,5,2,2,4,2,3,4,4,5,3,2,3,2,4,5,2,4,5,3,2,4,4,5,5,4,4,2,4,5,3,2,2,2,2,5,5,5,5,2,5,5,4,5,3,3,4,3,2,2,2,4,5,4,5,4,2,2,2,2,5,5,2,5,5,2,3,4,3,2,2,2,5,5,2,2,2,3,3,2,2,2,2,3,5,4,3,4,5,5,4,3,3,3,2,3,5,4,2,2,5,5,3,3,2,3,4,5,5,5,5,3,3,5,5,5,5,5,5,3,4,4,3,2,4,5,3,5,5,3,5,5,2,3,4,3,4,4,3,3,2,2,5,5,4,5,4,2,2,4,3,5,5,2,3,5,5,4,4,4,3,2,4,5,4,2,2,2,2,5,4,2,2,2,2,4,5,2,2,3,5,5,5,4,2,2,2,2,2,2,2,2,4,4,2,2,2,3,2,2,2,3,4,3,2,2,4,5,3,3,3,3,4,5,3,2,2,2,3,3,4,3,2,3,2,2,3,5,5,3,3,4,3,2,4,5,3,3,5,5,5,5,3,3,3,3,5,4,5,4,5,5,2,2,2,2,4,5
-4,2,2,3,5,5,3,4,3,2,4,5,5,4,2,2,4,3,3,5,2,3,5,3,3,4,5,3,3,5,4,3,4,5,5,4,3,3,3,5,5,4,3,5,5,5,5,2,2,2,5,5,2,2,2,2,3,4,5,5,5,5,3,3,3,4,4,4,3,3,5,3,3,5,4,2,2,4,5,5,5,5,5,5,4,2,2,4,5,4,5,5,3,2,5,5,2,2,2,4,5,5,3,2,2,2,2,2,2,2,4,4,4,5,5,3,3,3,3,4,3,2,3,2,2,2,3,4,5,5,3,3,3,5,5,5,5,5,5,3,3,5,3,2,3,3,5,5,4,5,5,3,4,3,3,5,4,3,2,2,3,3,5,5,2,5,4,3,3,2,3,4,4,4,5,3,5,5,2,2,3,5,5,5,5,3,5,5,2,2,3,3,5,5,3,4,5,5,2,2,2,2,3,4,5,2,2,3,4,3,2,5,5,5,5,2,2,2,4,5,3,5,4,2,4,5,4,5,5,3,2,2,4,4,4,5,5,4,2,2,2,3,4,5,5,4,3,5,5,3,4,4,3,3,4,3,3,3,5,5,2,4,4,3,5,5,3,3,4,5,4,3,4,2,4,5,5,5,5,5,2,2,5,5,4,5,2,2,4,3,4,5,4,3,5,5,5,5,2,5,5,3,3,4,4,4,5,3,5,5,4,5,2,3,5,4,3,3,3,2,4,4,5,5,4,5,5,4,3,4,5,5,3,5,5,3,3,4,5,5,4,2,5,5,2,2,3,5,5,3,2,2,2,3,3,4,5,2,2,4,2,2,2,5,5
-2,4,4,2,2,2,2,2,5,5,4,5,3,2,3,5,5,5,2,2,3,3,5,4,2,2,2,3,3,2,2,3,2,2,3,2,4,3,2,4,3,2,3,4,5,4,5,5,2,4,4,2,2,2,3,2,2,5,5,5,4,2,3,3,5,5,5,5,5,5,2,2,3,5,5,4,2,2,5,5,2,3,5,5,5,5,5,5,4,2,2,2,5,4,2,4,4,5,5,2,2,2,2,2,2,2,2,5,4,2,4,4,5,5,4,4,2,2,2,3,4,3,3,2,2,4,2,3,3,2,4,5,4,4,5,5,5,3,4,5,4,2,2,4,4,5,5,4,3,4,5,3,4,3,2,5,5,5,4,5,5,3,3,3,5,4,5,5,2,3,5,5,3,2,4,4,3,5,4,3,5,3,5,5,2,4,3,5,5,2,2,3,4,5,5,2,2,4,4,3,4,5,3,2,4,4,2,4,5,5,5,3,3,5,5,5,5,3,3,5,5,4,5,5,4,4,3,2,2,3,5,4,4,4,4,5,2,2,5,4,3,3,2,3,5,5,3,2,3,3,2,2,4,3,2,5,4,5,5,4,5,5,5,5,4,3,5,5,3,3,3,4,4,4,5,3,3,3,4,5,2,2,4,2,2,4,5,4,2,3,5,5,4,3,2,5,5,3,4,4,3,2,3,5,3,2,3,2,5,4,2,4,3,3,3,2,2,2,2,2,2,2,3,4,4,5,5,3,4,5,3,2,5,5,2,2,2,2,2,2,2,2,2,3,5,5,4,3,2,2,2,4,3,2,3,2,5,5,4,5,4,4,3,3,2
-2,3,3,3,4,4,2,3,4,3,2,2,2,3,4,5,5,3,3,5,4,4,4,2,4,5,2,2,5,5,4,3,4,3,2,4,5,3,2,2,2,2,2,4,4,2,2,5,5,4,2,5,5,2,5,3,2,4,5,5,2,4,4,2,2,2,4,4,3,2,2,4,5,3,4,5,5,5,5,4,4,4,3,3,2,2,2,5,4,4,5,5,5,4,5,3,5,5,5,5,2,3,2,2,3,2,4,4,2,5,5,2,2,4,5,4,4,4,5,4,2,2,3,3,2,4,4,4,5,2,2,5,5,4,2,2,3,3,2,2,5,5,3,3,5,5,2,2,2,2,5,5,4,3,3,5,5,3,2,2,5,5,4,5,3,4,4,2,2,2,4,3,2,5,5,5,4,5,5,2,5,5,2,2,2,2,3,2,3,5,5,5,5,5,2,2,3,2,2,2,3,3,4,5,2,2,2,2,2,3,5,4,2,2,3,3,3,2,2,3,5,4,2,5,5,4,5,2,2,5,5,4,3,2,3,3,2,3,3,3,3,5,4,2,2,2,2,3,5,5,4,3,3,2,4,5,4,5,4,5,5,4,5,5,4,4,4,3,4,5,4,3,5,5,4,5,5,2,2,5,5,4,3,3,2,2,3,3,5,5,3,4,5,5,5,4,3,4,5,4,3,2,2,2,2,2,3,5,5,4,5,3,2,2,2,5,5,4,5,4,2,2,4,4,2,2,2,2,3,5,5,5,5,5,5,4,4,2,2,5,5,3,2,5,5,3,4,4,3,4,5,4,5,5,5,4,5,5,3,5,3,2,4,2,4
-5,4,5,5,5,5,3,2,2,2,4,5,5,4,5,5,5,5,3,4,4,3,5,5,3,3,2,2,2,2,5,4,5,5,2,2,2,2,3,5,3,2,5,5,5,5,3,2,4,3,2,2,2,4,2,2,3,3,5,5,5,5,4,4,3,4,5,4,5,4,3,5,4,3,5,3,2,3,2,3,3,3,5,5,2,2,2,2,2,2,3,4,5,5,5,4,3,2,4,4,2,2,2,2,2,3,2,2,3,3,5,5,3,2,2,2,3,5,5,4,5,5,4,3,2,3,3,2,2,5,5,4,5,5,5,5,5,4,4,4,4,4,3,4,5,5,5,4,5,5,2,2,4,2,3,5,3,5,5,2,3,5,4,4,4,2,3,2,2,3,3,5,4,3,3,3,5,5,4,5,5,2,3,3,2,3,5,4,4,4,3,4,2,5,5,3,4,5,5,4,4,4,5,5,3,4,4,2,4,5,5,5,2,3,5,5,4,2,2,5,5,3,5,5,4,5,5,2,2,5,4,2,2,5,5,2,3,5,5,5,4,3,5,5,3,2,2,3,5,5,5,3,3,5,3,2,3,5,5,4,3,3,2,2,5,5,4,4,3,3,3,5,5,2,3,5,4,3,5,5,2,3,5,5,5,5,5,4,5,4,2,5,5,4,5,3,5,5,5,5,5,5,2,5,5,2,2,2,4,4,5,5,2,2,5,5,2,2,2,2,2,2,2,2,5,5,3,3,3,5,5,3,5,5,3,5,5,5,4,3,5,3,2,2,3,4,2,4,5,5,4,2,2,2,3,4,5,5,5,5,4,5,4,2,3
-3,2,2,2,2,5,5,2,5,5,2,4,5,4,2,2,3,5,5,2,5,5,2,4,5,2,2,4,3,4,3,2,5,4,2,4,4,4,4,3,4,5,4,5,5,3,5,5,2,4,5,3,3,4,5,3,3,5,5,4,2,2,3,2,2,3,5,5,5,5,4,4,4,5,4,3,3,3,3,4,4,4,5,3,4,5,2,2,4,2,4,5,2,4,4,2,2,2,2,2,4,5,4,5,5,5,5,2,3,5,4,4,5,5,2,4,5,2,2,2,5,4,2,2,2,2,2,5,4,2,2,5,5,2,3,4,2,3,5,4,4,3,3,4,4,4,5,5,3,2,5,5,4,3,2,5,5,2,2,2,2,5,4,5,5,2,4,5,3,2,5,5,3,3,2,4,3,2,5,3,2,2,2,4,5,4,2,2,5,5,2,2,2,3,4,2,2,3,2,2,4,4,4,5,5,5,5,5,3,3,3,2,2,2,3,4,2,2,2,2,4,4,3,2,4,4,4,5,5,5,3,5,4,2,2,2,2,2,4,5,5,3,5,5,4,5,5,5,5,5,5,5,5,5,5,5,5,4,4,5,4,3,5,5,2,3,5,5,5,5,2,2,4,5,4,3,4,5,5,3,2,2,2,3,5,5,3,2,2,2,4,4,5,5,3,4,3,2,3,4,5,4,3,3,3,3,5,5,2,2,2,4,5,4,4,4,4,5,4,4,5,4,4,4,3,2,2,2,3,2,4,5,2,3,5,5,5,5,2,3,4,2,4,5,5,3,3,5,2,2,4,5,5,3,4,4,3,3,2,2,5,5,4,4,2
-2,4,5,4,4,5,3,2,5,5,5,5,5,5,4,3,2,5,5,2,2,2,3,5,5,4,5,5,3,4,4,2,2,3,4,5,5,2,2,2,2,5,5,3,5,5,2,3,5,5,4,4,5,4,2,3,5,4,2,4,5,3,3,3,3,5,4,3,4,5,5,5,4,4,5,3,5,5,4,5,3,2,3,4,5,5,3,2,4,3,3,5,3,2,3,3,3,4,5,5,4,4,3,5,5,4,5,4,2,2,3,5,5,2,4,3,2,2,4,5,4,5,2,5,5,2,5,5,5,5,5,3,2,4,5,5,3,5,5,2,2,3,5,5,5,4,3,3,4,5,5,5,5,3,3,3,5,5,2,5,5,3,2,2,4,5,3,2,4,5,2,2,3,2,2,5,5,2,5,5,5,5,3,5,5,5,5,3,4,3,4,5,2,2,2,5,5,2,5,5,4,3,2,2,2,4,5,5,5,5,5,5,3,5,5,4,4,2,2,2,2,3,5,3,2,4,3,2,2,4,3,2,3,3,3,2,2,2,4,4,2,3,2,3,5,5,5,4,4,4,5,5,5,5,5,5,4,2,4,5,2,3,4,3,2,3,2,2,3,3,5,3,2,3,5,5,4,4,2,2,3,5,5,5,5,5,3,5,5,2,2,2,3,4,4,2,5,5,5,5,2,2,5,4,3,3,2,3,5,5,5,5,2,4,5,4,5,5,4,3,2,4,4,4,4,2,2,2,2,2,2,5,5,2,2,2,2,2,2,2,3,2,2,2,2,3,2,3,3,5,5,2,2,3,5,5,5,5,4,2,5,5,2,5,5
-4,4,5,5,3,4,5,2,2,2,3,5,5,5,5,5,3,3,2,2,3,3,5,5,3,4,4,4,5,5,3,5,5,4,5,2,2,3,5,4,3,4,3,2,5,5,5,5,2,2,2,2,2,5,5,2,2,2,3,5,5,3,2,3,4,3,3,5,3,2,3,4,4,5,5,2,5,5,4,4,4,5,4,2,2,2,2,2,3,3,2,3,2,2,2,2,3,4,2,2,3,5,5,5,5,2,3,5,5,4,4,2,2,2,3,5,5,5,4,5,5,5,3,2,4,3,2,2,3,5,4,2,5,5,3,5,5,4,4,3,4,5,4,5,4,2,3,3,3,2,3,5,5,4,2,3,3,4,5,3,2,5,5,2,2,2,5,5,4,5,3,5,5,2,3,2,2,3,2,2,2,3,4,5,4,3,3,3,2,3,4,4,5,2,2,4,4,4,4,2,2,4,3,2,2,3,5,3,2,5,4,3,3,2,2,2,5,5,2,3,2,2,3,2,3,5,5,4,3,3,4,3,2,2,2,4,5,4,5,5,3,2,3,4,5,4,4,5,2,3,5,5,4,4,5,5,5,3,4,5,2,3,3,2,2,4,5,5,5,3,3,5,5,2,4,4,3,3,3,3,3,5,5,5,3,3,4,5,5,4,5,5,5,4,3,5,5,3,4,5,5,3,4,3,2,5,5,4,4,5,4,2,5,5,3,5,5,3,4,5,5,5,5,4,4,3,5,5,5,5,5,5,2,2,2,4,4,5,3,3,4,2,4,5,5,3,3,5,4,5,5,3,3,5,4,4,5,5,4,3,4,5,4,3,3
-2,2,5,5,2,2,2,5,5,4,5,2,2,5,4,4,5,5,5,5,5,5,3,2,3,3,3,4,5,5,5,3,3,3,4,5,4,5,3,5,5,2,3,3,2,4,5,4,4,2,2,3,5,4,3,3,2,2,2,2,2,2,2,3,2,4,5,3,3,4,3,3,5,2,2,2,2,2,2,4,5,3,4,5,3,3,2,2,2,2,2,2,2,5,5,3,5,3,2,3,2,2,5,5,4,5,5,3,3,3,2,2,5,5,2,5,5,2,2,4,3,3,5,4,4,5,4,2,4,5,4,3,5,5,4,5,3,3,3,2,2,2,4,5,3,5,3,2,5,5,4,5,4,3,4,5,3,2,5,5,2,2,5,5,4,5,5,3,3,3,2,2,5,5,3,5,5,3,3,3,4,3,2,2,2,4,4,3,2,3,5,3,2,2,2,3,2,3,4,5,4,3,3,3,5,5,3,2,4,4,4,5,4,4,4,4,4,5,5,5,5,4,4,5,5,4,3,2,2,2,2,2,2,5,5,2,2,2,2,3,3,2,3,2,2,5,3,3,5,5,5,5,5,5,5,4,3,3,2,2,3,4,5,5,5,2,2,2,2,4,3,5,4,3,3,2,3,2,2,2,4,5,4,2,2,2,2,3,3,5,5,3,4,5,4,4,3,4,4,4,3,2,2,3,5,4,3,4,5,2,2,5,5,5,4,3,2,2,5,5,4,5,3,2,2,2,4,3,3,4,4,5,5,3,4,5,5,4,2,2,5,4,2,4,3,5,5,2,4,4,5,4,2,4,4,3,2,2,3,4,2,2,4,4,5
-4,3,3,3,5,4,2,5,5,2,4,5,3,2,3,4,3,5,5,5,4,2,2,2,3,2,3,4,2,2,5,4,2,3,2,3,5,4,5,5,4,5,5,4,4,3,3,4,4,5,3,2,2,2,2,2,2,2,5,5,5,4,5,5,3,4,5,5,4,5,4,3,2,2,5,5,5,5,3,2,2,2,3,3,2,5,5,2,2,2,2,5,5,4,5,5,5,4,3,3,3,2,5,5,2,3,5,3,2,5,5,3,4,5,4,3,2,2,2,2,2,2,2,4,5,5,5,4,4,5,4,5,5,3,3,4,5,4,4,2,2,3,2,2,2,4,5,4,3,2,2,4,5,3,3,5,4,2,2,3,5,5,3,2,2,2,2,2,3,4,5,5,4,3,3,3,2,3,3,2,2,3,4,3,4,5,2,2,3,4,5,5,3,3,5,2,2,3,3,2,2,3,2,2,2,2,3,5,5,4,4,2,2,3,3,4,2,3,4,2,2,2,2,2,3,5,5,3,3,5,4,4,3,2,3,2,4,5,3,3,3,4,5,5,5,2,2,2,2,3,2,4,5,4,5,5,3,2,3,2,3,4,2,2,3,3,5,5,3,3,2,3,5,4,5,4,4,5,4,5,5,5,5,5,5,5,3,4,5,5,4,2,2,4,4,4,5,3,4,5,3,4,3,4,5,2,3,3,4,5,3,5,5,4,4,2,5,5,5,5,2,2,3,5,5,3,5,5,4,5,4,4,5,5,4,5,4,2,4,3,3,5,4,3,5,5,4,3,2,3,3,3,3,5,5,2,3,4,4,5,3,3,5,4,2
-4,5,5,3,2,2,2,3,2,2,2,4,4,3,4,5,4,2,4,4,5,4,3,5,4,4,3,4,3,2,5,5,2,2,4,5,3,2,4,2,2,5,4,5,5,3,5,3,3,5,5,5,5,5,5,5,3,5,5,3,4,3,4,3,2,4,5,3,2,5,5,4,3,2,4,4,2,3,2,3,5,4,2,2,3,2,5,5,2,2,2,2,2,2,3,3,2,2,3,2,2,5,5,5,5,2,2,3,3,5,4,2,4,5,4,5,5,4,5,5,5,4,5,4,3,5,5,5,3,2,2,2,4,5,5,5,4,4,5,5,4,3,5,5,2,2,5,5,3,4,5,5,4,5,5,5,5,5,5,4,2,2,4,4,3,2,2,2,2,2,5,4,3,4,5,5,3,3,2,2,2,4,4,4,5,5,5,3,4,5,5,5,5,3,2,5,3,4,5,2,2,4,4,5,5,4,5,5,4,3,5,5,5,5,3,2,4,5,5,5,5,5,5,3,3,5,3,2,5,5,2,4,3,4,5,3,4,4,5,5,5,5,5,5,2,4,5,4,4,4,5,5,5,5,5,3,4,5,3,3,4,4,2,3,5,5,5,5,5,5,5,5,5,5,5,3,4,5,3,2,2,2,2,2,2,2,2,2,3,3,3,5,5,4,3,2,4,5,3,2,2,2,2,2,2,4,5,2,4,5,2,2,3,4,3,2,3,5,5,4,3,5,5,2,3,4,5,5,3,5,5,4,5,4,3,4,5,4,5,5,5,5,4,4,4,3,2,3,5,5,3,4,5,5,4,5,5,3,5,5,4,5,3,2,3
-3,4,4,5,4,5,5,4,4,2,2,2,2,2,2,2,2,3,4,4,3,3,3,2,3,5,5,5,5,2,2,5,5,5,5,5,5,4,4,5,5,3,2,2,4,5,3,4,5,5,5,3,2,5,5,2,3,3,3,5,5,4,4,3,5,5,3,3,5,4,2,5,4,2,2,2,2,2,2,2,3,2,2,4,4,4,5,5,2,2,3,4,3,2,2,2,5,5,4,3,4,3,2,2,2,2,2,2,2,5,5,5,4,3,5,5,4,3,3,5,5,4,5,4,3,3,3,4,5,4,5,5,3,2,2,2,2,2,3,5,4,3,3,4,5,5,4,3,3,3,5,5,4,5,2,3,5,2,4,5,5,5,3,2,2,2,2,3,4,4,2,2,3,2,5,5,2,5,4,3,3,3,4,4,3,2,4,4,3,4,3,3,3,2,2,3,5,4,3,3,3,3,3,3,5,5,2,2,5,5,4,5,3,2,2,2,3,4,5,5,3,2,2,3,3,2,4,5,5,4,3,5,4,3,5,5,4,3,3,3,2,4,4,2,2,2,3,5,5,4,3,3,4,3,2,2,2,2,4,4,3,5,5,4,2,2,4,5,5,5,5,2,2,3,2,3,4,3,4,5,2,2,5,4,4,5,5,5,5,5,3,2,4,3,2,5,5,4,2,2,3,2,2,5,5,4,4,3,2,2,3,4,4,3,3,3,3,5,5,2,2,2,2,2,3,5,4,4,5,2,2,4,5,5,2,4,5,2,2,3,4,5,3,2,4,3,4,4,5,5,5,4,3,5,2,2,3,4,3,4,4,2,2,2,3
-2,2,2,3,5,5,5,3,2,4,5,5,5,4,2,2,2,4,5,3,2,2,3,2,2,3,4,5,5,4,2,5,5,4,3,3,4,2,3,3,5,4,2,4,4,5,5,5,5,5,5,2,2,5,3,2,3,3,3,5,5,2,3,4,4,4,4,3,2,2,5,5,2,2,4,5,5,5,5,3,3,4,3,5,3,2,4,5,5,4,3,4,5,5,4,2,2,2,2,4,3,2,4,5,4,3,5,5,5,5,3,5,5,2,4,4,3,3,2,2,3,3,2,2,2,3,4,3,2,5,5,4,5,4,4,4,4,3,5,4,2,2,3,4,3,2,2,4,3,3,2,3,4,3,3,4,5,2,2,2,3,5,5,4,5,4,2,4,5,3,5,5,2,5,4,5,5,2,4,5,2,2,2,2,3,2,3,2,2,3,5,5,4,5,3,3,3,3,3,3,2,2,5,4,2,4,4,3,4,2,2,4,5,5,5,4,5,5,2,2,2,5,5,2,2,2,3,4,3,3,3,5,5,2,2,5,5,4,3,2,3,3,3,2,3,3,3,5,4,2,2,5,5,2,4,5,5,4,3,5,4,4,5,3,2,2,5,5,2,2,2,2,4,5,4,3,3,3,3,3,3,4,2,2,5,5,5,4,2,2,5,5,3,3,4,5,2,2,3,4,3,3,4,3,3,4,5,2,5,5,3,3,3,5,4,5,4,2,2,5,4,2,4,3,2,3,5,5,3,3,5,5,5,4,2,2,2,2,4,5,5,4,2,4,5,4,2,2,3,2,4,3,4,4,2,5,5,5,4,2,2,2,2,3,5
-5,5,5,4,5,5,2,2,2,2,2,2,2,3,5,4,4,2,2,5,5,4,3,2,3,5,5,4,2,3,5,4,5,5,5,5,2,3,5,4,4,5,4,5,4,2,4,3,5,5,3,5,5,3,4,4,4,5,3,4,5,4,4,3,3,3,3,3,2,3,2,2,5,5,5,5,5,5,2,3,5,5,5,5,4,4,4,3,2,3,5,5,4,2,2,2,2,2,3,5,4,4,5,2,2,2,2,2,4,5,5,5,2,5,5,3,2,2,4,5,5,5,4,3,3,5,5,5,5,3,2,2,3,3,5,4,3,5,4,4,5,4,5,5,4,4,2,2,3,2,4,5,3,3,4,4,5,5,4,3,5,5,5,5,2,2,4,5,5,4,3,3,2,2,2,3,4,3,3,3,5,5,4,5,2,2,5,5,5,3,2,5,3,2,4,4,2,3,4,5,5,3,3,2,4,5,5,5,3,5,5,2,2,2,2,5,5,3,5,4,3,5,4,4,5,3,2,3,5,5,3,2,3,3,4,5,4,4,5,3,2,2,2,3,3,5,5,2,2,3,2,2,2,3,3,2,4,3,2,4,3,4,4,4,5,4,5,5,5,5,3,2,2,3,5,4,4,5,3,2,2,5,5,2,2,2,2,2,2,2,2,2,2,2,3,5,4,2,2,5,5,5,4,3,5,4,2,2,2,4,5,2,2,2,2,3,4,5,5,5,5,5,4,2,5,5,2,2,3,3,2,4,5,2,2,5,5,3,4,3,2,5,5,5,3,2,5,3,2,5,5,4,5,5,3,5,5,5,5,4,4,4,5,4,3
-3,5,5,4,3,3,3,2,4,4,3,5,5,3,2,2,3,4,4,4,5,3,2,2,2,3,4,5,4,5,5,4,5,3,3,4,4,4,5,5,3,5,3,3,4,2,2,2,3,2,2,5,3,2,3,2,4,4,5,5,2,2,2,5,5,2,2,2,4,5,5,3,2,2,2,3,2,4,5,5,5,4,5,4,3,5,5,2,3,4,3,5,5,3,4,4,2,2,5,5,4,3,2,2,2,3,3,2,4,5,4,4,2,5,5,4,5,3,5,5,4,5,5,5,4,4,3,5,5,2,5,5,4,3,3,4,5,4,3,3,2,4,4,5,5,3,5,5,3,5,4,3,5,5,5,5,4,3,3,5,4,4,5,3,2,2,2,2,5,5,4,5,3,2,2,2,2,3,4,3,4,5,3,2,2,2,2,4,5,5,5,4,5,3,2,4,4,5,5,4,5,3,2,3,4,5,5,3,2,3,3,2,4,5,4,5,5,5,4,3,3,5,5,2,2,2,2,2,2,3,3,5,3,3,5,5,3,2,4,4,5,4,3,3,3,3,4,3,3,5,5,4,2,2,3,3,3,4,5,5,3,3,4,5,5,4,4,5,5,4,4,4,4,5,3,3,3,2,5,5,5,5,4,5,5,3,5,5,5,5,2,5,5,3,5,5,2,2,2,2,5,5,4,4,3,2,3,4,5,3,2,5,3,2,5,4,2,2,2,4,5,3,2,4,4,2,3,3,2,4,3,2,3,5,5,2,2,4,4,3,2,4,5,3,3,2,3,2,3,5,4,5,4,5,5,2,2,2,2,2,5,5,4,5,4
-4,5,4,2,4,5,4,3,5,5,4,4,2,2,2,2,2,3,4,3,2,2,2,2,3,5,5,5,5,3,2,2,4,5,3,3,3,5,5,4,4,4,3,2,2,2,3,2,2,5,5,2,3,5,5,2,2,3,2,2,5,5,2,2,5,5,3,3,2,4,4,5,5,2,2,3,2,3,5,5,5,5,5,3,3,4,3,4,4,5,5,4,5,3,3,4,3,5,4,2,3,4,5,5,5,5,5,3,4,5,4,5,4,4,5,5,5,3,3,5,5,4,5,3,2,5,5,2,2,2,2,2,2,3,4,3,3,5,4,3,2,5,5,2,3,5,5,3,5,4,4,5,5,4,3,5,4,4,2,2,5,4,3,3,2,4,5,5,3,3,4,5,5,4,3,2,2,2,2,2,2,2,3,3,4,4,5,5,3,5,5,2,5,5,4,5,4,5,4,4,4,3,5,5,3,4,5,5,5,5,4,3,4,5,5,4,4,5,4,2,3,3,3,3,3,4,5,4,4,5,5,4,4,4,4,5,5,5,5,5,5,5,3,5,5,2,2,2,3,4,2,2,5,5,4,5,5,3,3,2,2,3,4,5,4,4,5,5,3,5,5,3,4,5,5,5,4,2,3,5,3,2,2,2,5,5,3,2,3,2,2,3,3,5,5,5,5,5,5,3,2,2,2,2,2,2,3,5,4,3,3,2,2,2,3,3,3,5,3,4,5,2,2,2,2,2,5,5,5,5,2,2,4,4,4,5,4,4,2,2,4,3,4,4,3,5,5,4,5,4,4,4,2,4,5,4,3,3,5,5,4,5,5,4,4
-4,4,5,5,5,4,3,4,3,3,5,4,5,5,4,3,2,3,3,2,2,2,2,3,4,5,2,3,3,2,2,5,5,3,4,5,5,2,4,4,2,4,5,3,4,4,4,4,2,2,2,3,2,2,3,4,3,5,5,2,3,3,4,4,3,3,3,4,5,3,4,5,3,2,5,5,4,5,3,5,5,3,5,4,2,3,5,5,3,4,4,2,3,3,3,3,2,2,2,2,4,4,2,3,5,5,3,2,5,5,4,4,2,2,4,5,3,2,5,5,3,4,3,3,2,2,4,4,3,2,3,3,2,2,2,4,5,2,2,3,2,2,2,5,5,3,5,5,5,5,2,4,5,5,5,3,3,4,3,2,5,5,2,4,5,2,3,5,5,5,4,5,5,2,3,2,2,2,2,3,3,4,4,4,3,4,5,3,4,5,2,2,2,3,3,2,5,4,2,4,4,2,5,5,5,5,3,5,3,4,5,4,5,4,5,4,2,2,4,5,2,2,4,3,2,3,5,5,5,4,3,5,5,5,5,5,5,5,5,4,3,2,2,2,3,4,3,2,2,3,5,4,2,2,2,2,2,2,3,2,5,5,3,4,3,3,2,4,4,2,2,2,2,4,5,3,2,2,2,2,5,4,3,5,5,5,5,5,5,3,2,2,2,3,3,3,2,5,4,5,5,3,4,3,3,2,3,3,3,5,5,4,3,5,5,4,5,5,5,4,4,3,2,5,4,3,4,3,4,5,3,2,3,2,2,4,3,2,2,3,5,5,3,3,4,3,5,5,3,3,2,2,2,2,3,2,4,4,5,5,2,2,2,4,5
-3,3,4,3,4,3,3,5,4,4,5,5,2,3,5,3,4,5,3,5,5,3,5,4,3,4,4,5,4,4,3,2,2,2,5,5,4,3,5,5,5,5,2,3,4,3,3,4,2,2,3,4,5,5,3,3,4,2,4,5,5,4,3,5,5,3,5,5,3,3,3,4,4,5,4,3,5,3,2,3,3,2,3,3,4,5,3,4,3,3,5,5,5,3,3,5,4,3,2,2,3,5,5,5,3,2,5,4,3,2,2,2,2,2,2,4,2,3,3,5,5,2,4,3,2,4,5,5,3,2,4,2,2,4,3,4,5,4,2,2,3,2,2,2,2,4,5,3,4,5,3,4,4,2,4,5,2,2,2,2,2,5,5,2,2,3,3,5,5,2,2,3,5,4,5,3,4,5,4,4,3,4,4,3,3,4,4,3,2,5,5,2,2,3,3,2,4,5,4,5,4,2,3,3,3,5,3,3,5,3,4,3,3,4,2,4,4,3,5,5,3,5,5,2,2,2,2,2,4,4,4,5,5,4,3,3,5,5,4,5,4,5,4,4,4,2,3,4,5,5,4,5,5,3,2,5,5,3,5,4,4,4,4,4,3,4,2,2,2,2,2,2,5,5,3,2,2,2,2,2,2,2,2,2,3,5,5,5,4,5,5,4,5,5,4,3,4,4,2,3,5,2,4,5,3,4,3,3,4,3,2,3,5,5,3,5,5,2,3,3,3,3,3,5,4,5,5,4,5,3,2,3,3,4,5,4,4,2,2,4,5,5,4,5,5,5,3,2,5,3,2,3,5,5,5,5,3,4,5,5,4,5,5,2,2
-5,4,2,2,5,5,5,5,2,3,3,3,4,2,2,4,4,4,4,5,5,3,2,2,2,4,5,3,3,4,5,5,3,5,5,3,4,4,3,4,5,5,4,2,2,4,4,3,5,5,3,3,3,2,2,3,4,4,5,3,4,4,5,5,2,2,2,4,3,3,3,5,5,2,3,5,5,3,4,5,3,5,5,2,2,5,5,5,5,4,4,3,5,4,4,4,2,2,2,2,4,5,5,4,2,3,5,3,2,2,2,4,5,5,2,4,5,2,2,4,4,3,5,5,3,5,5,5,5,2,4,3,2,3,3,3,4,4,5,5,3,3,2,2,2,4,4,4,5,3,4,5,2,3,4,2,3,2,2,5,5,2,4,4,2,5,5,3,3,5,4,2,2,2,2,2,2,4,5,4,2,2,4,4,3,2,4,5,5,3,3,5,3,2,3,4,4,3,2,2,2,2,5,5,2,2,2,2,3,3,2,5,5,4,5,5,4,4,5,5,5,2,4,5,2,4,4,5,5,2,2,2,2,3,4,4,5,3,2,4,2,4,5,5,5,3,3,3,3,2,3,4,3,3,3,3,5,5,3,3,4,5,3,2,2,2,3,2,5,5,2,4,3,2,5,5,4,5,3,2,4,3,2,4,4,4,5,2,3,5,5,5,3,2,2,2,3,5,5,5,5,2,2,4,2,2,4,3,5,5,2,2,2,2,3,5,5,5,3,2,3,2,3,3,2,2,2,5,5,3,4,4,5,5,3,4,5,5,5,5,3,3,5,4,3,2,3,5,5,2,4,5,2,2,2,2,3,5,3,3,5,5,5,4,4
-4,2,2,2,2,2,2,2,2,5,5,3,3,2,2,2,2,3,4,4,2,2,3,2,5,5,2,4,2,3,5,5,5,4,3,4,5,4,2,3,5,4,3,2,2,4,4,4,3,4,5,4,4,3,5,5,5,5,5,5,3,3,3,5,5,3,2,2,5,5,4,5,4,3,3,5,5,2,4,5,4,2,2,5,4,2,3,5,5,4,5,4,2,3,5,4,4,3,3,5,5,4,2,2,5,4,3,5,3,3,2,2,2,2,2,3,5,5,5,3,3,5,5,5,3,3,5,5,4,5,5,4,4,3,4,3,2,3,4,4,5,5,4,3,2,4,4,3,4,3,3,3,5,5,3,5,4,3,5,4,2,2,2,5,5,2,2,4,5,5,5,4,4,5,5,4,3,2,2,4,5,4,4,4,5,4,2,3,5,5,2,2,2,2,2,2,4,3,2,5,5,2,5,5,3,3,2,3,5,4,4,4,3,4,5,4,3,5,5,2,2,4,3,4,3,2,3,4,4,5,4,2,4,3,2,4,5,3,5,5,3,3,5,4,5,5,2,2,2,5,5,2,4,5,5,5,3,3,3,4,4,5,5,5,4,3,4,4,5,4,3,5,5,5,5,5,4,2,2,2,3,5,4,3,5,4,4,5,5,4,3,5,5,2,2,3,2,5,5,4,4,5,5,2,2,3,2,3,5,3,2,2,5,5,4,5,5,4,2,5,5,4,5,4,3,3,4,2,2,3,2,3,3,3,5,3,2,2,2,5,3,2,2,3,4,5,5,2,2,2,3,5,4,2,5,5,5,5,4,4,3,2,2,3,4
-5,4,4,5,5,3,2,2,5,5,4,5,2,2,2,2,3,3,4,2,2,3,4,5,4,5,5,4,4,2,2,5,4,5,5,4,3,4,5,3,3,4,4,3,4,3,2,2,2,2,2,3,4,4,4,5,3,2,5,4,3,3,2,5,5,5,5,2,3,4,3,4,5,4,2,2,4,3,5,5,2,2,3,3,3,3,5,5,3,3,2,2,3,5,3,2,5,5,2,2,5,5,3,3,4,4,4,3,2,5,5,3,2,3,4,4,5,2,2,4,5,3,2,5,5,5,5,4,3,3,4,3,5,4,5,5,2,5,5,5,5,2,2,4,4,5,5,5,4,4,5,3,4,5,4,5,5,3,2,5,5,3,3,3,5,5,5,4,2,3,5,3,2,2,3,4,3,4,4,5,4,3,3,5,5,2,2,2,4,4,2,3,5,4,2,4,4,2,2,2,2,4,3,2,5,4,4,5,5,5,5,3,3,4,5,5,3,4,4,2,4,5,4,4,2,2,3,5,5,3,3,5,5,5,4,3,5,5,4,2,3,5,3,5,5,2,2,4,5,2,2,3,3,5,5,5,5,5,4,5,5,2,2,4,5,3,2,2,4,5,5,3,4,5,2,2,2,2,4,5,3,3,3,2,5,5,5,5,2,3,2,3,5,5,4,2,5,5,2,3,3,2,3,3,5,5,3,3,3,2,2,3,2,4,5,4,5,5,3,2,3,3,5,5,5,5,4,4,3,3,3,4,5,5,5,5,4,4,4,4,4,5,3,4,5,5,5,4,4,2,2,2,3,5,5,4,3,3,3,3,5,4,4,5,5
-5,3,4,3,2,2,5,5,4,5,4,4,4,5,3,2,5,5,5,5,3,2,3,5,2,3,4,3,3,3,4,3,5,5,3,3,2,3,3,2,2,3,4,5,5,5,3,4,5,4,5,4,5,5,3,3,4,5,4,4,5,5,5,5,5,4,3,3,3,5,5,2,5,5,3,4,5,4,2,4,4,5,4,2,4,4,5,5,3,3,2,2,4,4,3,2,4,3,3,4,5,5,3,3,5,5,2,2,2,2,2,3,3,2,5,5,2,4,5,4,3,4,4,3,4,3,4,5,3,3,4,3,3,4,4,3,2,2,4,4,2,4,5,4,3,4,4,2,2,5,5,3,2,2,3,5,5,2,2,2,2,2,2,3,4,3,2,3,5,5,3,3,5,5,3,2,2,4,4,3,3,5,5,2,5,5,5,5,5,5,2,4,5,5,5,2,2,3,2,2,2,2,4,5,4,5,5,4,4,4,5,4,2,5,4,5,5,4,5,5,5,4,5,3,4,3,2,3,2,5,4,2,5,5,3,2,2,2,2,2,2,3,4,4,3,2,2,4,5,3,2,2,2,2,2,3,4,5,5,5,4,4,4,4,4,2,2,2,2,2,2,3,3,2,2,2,3,5,4,5,5,2,3,5,5,3,3,3,4,4,4,5,2,2,4,5,5,2,2,5,4,2,3,2,3,5,3,3,4,5,5,5,4,2,3,3,4,5,2,3,5,2,2,2,5,5,2,4,2,2,3,3,3,3,2,3,5,4,5,5,5,5,4,4,2,2,2,2,2,2,4,2,2,3,4,4,2,2,2,2,2,3,3,4,3
-2,3,2,3,4,4,4,3,3,5,4,2,4,5,4,5,5,5,4,3,2,4,5,4,5,4,5,5,3,5,4,2,5,4,3,3,3,5,3,3,3,2,2,2,2,4,5,2,2,4,5,4,3,2,2,2,2,2,2,3,3,3,5,4,2,3,2,2,3,4,4,5,5,3,3,5,5,3,4,5,5,5,5,4,5,5,2,2,3,5,5,5,5,4,5,5,4,2,2,3,5,4,2,3,3,3,4,5,5,5,3,2,4,4,5,5,3,2,2,2,3,3,4,4,4,5,5,4,2,3,4,2,2,2,5,5,5,5,2,3,2,2,2,3,3,4,4,3,4,5,5,4,4,3,3,4,3,5,5,2,5,5,2,5,5,2,3,5,5,5,3,2,3,4,5,5,5,2,2,3,5,5,2,2,2,2,2,2,3,4,3,3,5,5,5,5,5,5,4,2,2,2,2,2,5,5,2,4,3,4,4,3,4,3,2,2,5,4,3,4,2,2,4,4,5,5,2,2,2,5,5,4,5,3,3,5,4,2,4,5,3,3,3,4,4,3,4,5,4,2,2,4,4,2,5,5,5,5,4,5,3,3,4,4,3,2,4,5,5,4,3,3,5,5,2,4,5,3,2,2,4,4,2,3,5,3,5,5,2,4,3,2,2,2,3,5,4,4,5,2,3,5,5,5,5,5,4,5,5,3,3,4,5,3,2,4,4,4,4,3,3,3,5,5,4,3,2,2,2,2,4,5,2,4,3,2,5,5,4,4,5,4,2,2,2,2,2,2,2,2,2,2,2,5,5,4,5,5,5,5,5,4,5,5,3
-5,5,2,2,2,3,5,3,2,4,3,2,2,2,2,2,4,3,2,5,3,2,4,4,5,5,4,3,3,4,2,2,4,4,5,5,5,4,2,3,5,5,3,3,4,2,2,2,2,4,5,5,5,5,3,4,5,3,5,5,4,5,4,5,5,4,2,2,2,2,5,4,5,5,5,5,5,5,4,5,2,2,2,2,4,2,3,3,2,2,3,4,2,2,5,5,4,4,2,3,5,5,3,2,3,5,5,5,5,2,2,5,5,2,3,5,5,5,5,4,4,5,4,4,5,5,5,5,5,5,4,3,4,5,5,4,2,2,5,4,2,3,3,4,4,5,4,4,5,3,5,5,2,3,3,3,4,5,5,4,3,5,4,2,2,2,2,3,5,5,3,2,5,3,3,5,3,5,5,3,4,3,5,5,2,2,4,5,4,3,3,5,5,3,4,3,2,4,3,4,4,5,5,3,4,4,4,5,5,4,5,5,5,5,3,2,5,4,2,3,3,3,2,4,4,3,5,5,4,4,4,5,5,5,5,3,3,2,3,4,3,5,4,2,3,2,2,3,2,4,5,5,3,2,5,4,3,3,5,4,2,3,3,3,4,5,5,5,3,4,4,2,5,5,3,5,4,4,5,4,4,5,4,2,2,3,3,2,2,5,5,2,5,5,5,5,5,5,2,3,5,5,5,5,5,5,3,2,2,3,2,3,5,4,2,2,5,5,4,5,4,2,2,2,2,2,5,5,5,5,5,5,3,5,4,2,2,2,3,5,5,4,5,5,2,2,2,2,3,2,2,5,5,4,4,2,5,4,2,3,2,3,3,3,3
-2,3,2,2,4,5,4,3,4,4,2,3,4,4,5,3,2,3,4,5,4,4,4,4,5,5,5,4,5,5,4,2,5,5,2,2,2,5,4,2,2,3,3,2,4,4,2,2,5,5,2,2,3,5,5,5,5,4,4,4,4,5,5,2,2,2,2,2,3,3,2,2,3,3,2,4,4,3,3,4,5,5,4,5,5,5,5,4,5,5,4,2,2,4,4,5,5,3,3,3,2,5,5,5,5,5,5,5,4,2,2,2,2,2,2,2,2,2,3,3,3,3,3,2,4,5,5,4,3,5,5,5,5,3,3,3,2,4,5,2,2,2,2,2,2,2,2,3,4,5,3,3,3,2,5,4,3,3,2,4,2,5,5,4,5,4,4,3,2,3,5,3,5,5,3,4,3,3,4,5,5,2,2,2,3,5,4,5,5,4,2,3,5,5,4,2,2,3,3,4,3,2,2,2,5,4,3,2,3,5,4,2,2,2,2,4,5,3,2,3,2,2,3,4,4,5,5,3,3,5,4,4,4,5,5,3,5,3,2,4,3,2,3,2,2,5,5,4,2,4,5,2,2,2,4,5,4,4,2,2,3,3,3,3,5,5,5,4,3,4,4,5,5,4,3,3,4,3,2,2,2,4,5,4,5,4,3,4,3,2,2,2,2,2,4,3,3,5,3,3,3,2,3,2,4,5,3,3,3,5,5,5,4,3,2,2,4,2,2,3,2,4,5,2,3,5,2,2,5,5,4,5,5,2,2,5,4,2,4,5,5,5,5,5,3,4,4,5,4,2,4,5,5,3,5,5,5,5,3,5,5,5,4,3,4
-2,2,2,4,5,4,3,2,4,5,5,5,5,4,5,5,5,4,3,4,2,4,5,2,2,3,3,5,4,2,2,2,3,3,4,2,3,5,4,4,4,5,5,4,5,3,2,5,5,5,5,3,5,5,3,4,4,3,2,3,3,2,2,2,2,4,5,4,3,2,2,4,5,5,5,4,4,5,5,4,2,4,5,3,4,4,3,3,5,5,5,3,2,2,2,2,2,2,2,2,2,2,3,5,4,4,3,4,4,5,5,2,2,2,3,4,4,2,2,2,3,3,2,2,2,2,2,5,3,4,5,4,5,5,5,4,4,3,2,3,4,5,4,2,2,5,5,3,5,5,4,3,3,5,5,3,2,3,2,3,3,3,5,2,5,5,2,4,4,4,3,2,5,5,2,4,5,5,5,2,2,5,5,3,2,4,5,4,5,5,4,4,4,3,4,4,2,2,2,3,4,4,2,2,3,4,5,5,5,5,4,2,3,3,3,4,4,3,3,5,5,2,3,4,2,4,3,2,3,2,3,3,2,3,3,4,5,3,2,2,3,5,4,4,5,2,2,3,2,2,3,5,5,4,5,5,5,4,5,5,4,5,3,2,2,2,3,5,5,4,5,5,4,5,5,5,4,2,4,5,5,4,5,5,2,3,5,5,4,5,5,5,5,5,5,3,5,4,3,5,5,5,2,2,2,3,5,5,5,5,5,4,4,2,2,2,2,2,2,2,5,5,2,4,5,5,5,4,5,5,2,3,4,5,4,2,3,5,4,2,4,5,5,5,5,5,5,5,2,2,4,3,2,3,4,5,5,4,3,2,2,4,3,2,2
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+3,2,2,2,3,2,2,5,3,4,4,5,5,2,5,5,4,4,5,5,3,2,2,2,3,2,2,3,2,2,4,4,3,4,2,3,5,3,3,3,4,5,5,4,5,5,4,4,2,2,3,4,2,2,5,4,3,2,2,3,2,2,5,4,2,3,3,4,2,2,2,2,2,2,3,2,2,2,4,5,4,5,5,3,3,4,5,3,2,4,3,3,3,5,5,3,4,5,5,3,3,2,2,2,2,2,2,2,2,4,5,4,2,2,3,2,5,5,2,3,3,5,5,3,5,5,2,2,2,5,4,2,5,4,2,2,4,4,2,4,3,3,4,3,3,4,5,5,4,3,3,3,2,2,4,5,5,3,2,4,4,2,4,5,5,5,4,3,4,4,2,4,5,3,3,5,3,2,4,3,4,4,3,5,5,3,4,5,3,2,2,5,5,5,5,2,4,3,2,2,2,5,4,2,2,2,2,3,3,4,4,4,5,5,3,2,2,3,5,2,2,4,5,4,3,5,5,2,2,5,3,2,5,5,5,4,2,2,2,3,4,5,5,5,4,2,5,5,2,2,3,3,4,5,5,5,4,5,3,2,2,2,5,4,2,4,5,3,4,5,3,3,3,2,3,4,5,4,2,2,2,2,2,3,3,3,5,4,3,4,5,4,3,4,5,5,2,2,4,4,5,4,2,3,2,2,3,2,2,5,5,2,3,3,2,3,5,3,3,4,4,5,4,5,5,5,5,4,5,4,2,2,3,4,4,5,3,2,5,3,2,3,2,2,4,5,4,2,2,5,5,4,5,5,5,3,2,4,3,3,2,2,5,4,4
+5,5,3,2,2,2,5,5,3,2,4,5,5,4,5,5,2,2,2,4,5,4,5,5,5,3,2,5,5,3,2,2,5,5,3,5,5,3,5,5,4,5,4,2,3,4,3,2,3,4,2,2,2,2,3,4,3,4,5,4,4,4,3,3,3,5,5,3,4,3,4,5,2,3,5,4,4,2,3,5,5,5,3,3,5,5,3,5,5,3,2,2,3,2,3,5,5,4,5,5,3,2,2,4,3,4,5,4,4,2,3,4,3,2,3,5,5,5,5,4,5,4,2,4,4,2,2,5,4,5,5,2,2,4,4,3,3,4,5,2,2,3,5,5,5,5,2,2,3,2,4,4,3,3,5,5,4,4,3,5,5,4,5,5,4,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,4,3,5,4,3,3,3,5,3,3,5,4,3,2,5,5,3,5,5,5,5,4,5,5,4,5,5,3,2,5,5,4,5,3,2,4,4,4,5,3,4,5,3,4,3,2,2,5,5,2,4,5,5,4,5,3,2,4,4,5,5,2,2,3,2,2,2,2,2,2,5,5,5,5,3,3,2,2,2,2,2,2,2,5,5,3,3,3,4,4,5,5,3,5,5,3,3,3,5,5,5,4,2,2,3,3,4,5,4,5,5,5,5,3,2,4,5,2,5,5,4,5,4,4,3,2,2,2,2,2,3,4,5,5,5,5,3,5,5,2,2,5,3,2,4,5,4,2,5,5,4,3,3,4,3,5,4,3,4,5,5,3,5,4,2,2,2,3,2,2,3,4,4,5,5,2,2,2,5,5,2,3
+2,2,2,3,4,4,5,5,3,5,5,2,2,2,3,4,5,4,2,3,3,5,5,4,5,4,4,2,2,5,4,4,4,2,2,4,3,2,4,3,3,4,3,2,2,4,5,5,5,5,5,5,4,5,4,3,5,5,5,5,5,5,3,5,5,5,5,3,4,2,5,5,3,2,3,5,2,2,3,3,3,4,3,4,5,2,4,5,5,5,5,5,5,4,2,5,5,2,4,5,5,5,5,5,4,5,5,5,5,2,5,5,2,2,2,5,5,2,3,4,2,2,4,4,4,4,3,3,2,3,4,5,5,2,4,5,5,5,2,3,5,4,2,2,2,2,5,5,2,2,2,5,5,2,2,3,3,4,4,5,5,3,4,4,2,2,2,2,4,3,2,2,3,3,3,4,3,5,5,2,2,2,3,3,3,3,4,5,3,3,2,2,5,5,3,2,3,3,4,5,5,4,3,3,3,3,3,5,5,2,3,5,4,4,4,3,4,5,5,5,4,5,5,4,5,5,4,3,2,4,5,3,3,4,4,5,5,4,3,2,3,4,4,4,5,5,3,2,5,4,3,4,2,4,4,3,2,2,3,2,2,2,3,5,5,3,3,5,5,4,2,2,4,5,5,3,2,2,3,5,4,3,4,5,5,5,5,2,2,3,2,3,2,2,4,5,5,5,4,3,4,3,3,5,4,2,2,2,2,3,4,5,5,2,2,5,5,4,3,5,4,2,3,4,4,2,3,5,5,4,5,5,2,2,2,2,3,2,3,4,2,4,5,3,5,5,2,2,2,2,3,2,3,3,2,2,2,4,5,4,5,5,3,4,5
+5,5,5,4,3,3,3,4,5,4,2,2,4,3,2,2,2,2,3,5,5,3,4,5,3,4,4,2,2,3,2,2,2,2,4,4,4,5,5,5,5,4,5,4,2,4,3,3,3,4,4,3,3,3,2,2,3,2,2,2,2,5,4,4,5,2,2,3,3,4,5,5,5,4,4,3,2,4,4,4,5,4,5,5,4,5,4,3,3,2,2,5,5,3,5,4,4,3,2,5,5,3,3,5,5,3,4,5,3,2,2,4,4,3,5,5,5,4,3,5,4,5,5,2,4,5,2,2,5,5,5,4,3,4,5,5,4,4,5,5,3,2,2,2,2,2,2,2,2,3,4,5,4,2,3,5,4,2,2,3,5,4,3,5,5,3,2,5,5,4,4,5,5,2,3,2,3,5,5,4,3,2,3,5,4,2,4,5,3,4,3,4,5,4,2,3,4,3,4,3,2,5,5,2,2,5,4,3,5,5,5,3,2,4,5,4,3,4,5,5,3,5,5,5,5,2,3,2,2,2,2,2,2,3,3,3,5,3,4,4,2,4,5,3,3,4,2,2,2,3,3,2,4,4,4,4,3,3,3,4,3,4,4,2,2,2,4,4,4,5,5,3,2,5,5,3,3,3,4,5,2,2,2,3,5,3,3,4,2,3,5,4,4,4,4,2,2,5,5,3,2,2,5,5,4,4,2,2,4,5,3,2,3,5,5,5,4,2,4,4,2,3,4,5,5,5,5,5,5,2,2,5,4,2,2,2,2,2,3,3,2,5,5,2,5,5,4,5,4,3,5,4,2,5,5,4,4,2,3,4,2,2,2,2,3
+2,2,3,5,5,3,2,4,5,3,5,5,5,5,5,5,5,5,5,3,2,2,2,2,2,2,2,3,3,2,4,5,5,5,5,5,3,5,3,2,4,4,5,4,3,3,2,4,5,3,4,5,4,3,5,4,2,2,4,5,2,2,4,4,2,2,3,3,2,3,4,5,4,4,4,3,5,5,5,5,4,5,5,5,5,4,4,3,2,3,4,4,2,2,3,3,5,4,2,2,2,2,2,2,5,4,5,5,2,3,4,5,5,3,5,5,2,5,5,2,2,2,2,3,2,3,4,5,4,3,5,3,2,2,2,2,4,4,2,4,5,5,3,3,5,3,5,5,2,2,2,2,2,5,4,4,5,3,5,5,5,5,2,3,5,5,5,5,3,2,2,3,3,2,2,2,2,2,2,2,4,5,4,5,5,5,5,5,5,5,4,3,3,3,5,5,3,2,5,5,2,4,3,2,2,2,4,4,3,5,5,4,3,2,5,4,2,4,5,3,2,4,5,3,3,4,2,2,3,3,5,4,3,2,4,5,3,4,2,2,4,5,5,5,5,3,3,5,5,3,5,5,5,5,4,4,2,2,2,4,5,4,3,3,5,5,4,3,2,4,3,5,5,3,5,3,2,2,3,5,4,3,5,4,2,3,3,2,4,4,4,4,5,5,4,5,3,2,5,5,3,5,5,3,5,5,4,5,4,5,4,2,4,5,4,4,5,5,2,2,5,4,2,3,3,3,2,2,4,2,2,3,3,4,2,5,5,2,3,3,4,2,3,5,2,2,2,2,2,2,2,5,5,2,5,5,4,5,4,2,3,4,2,2,3
+2,3,3,2,4,3,2,5,5,3,4,3,3,5,2,2,4,5,4,2,2,5,5,5,5,3,3,2,2,3,3,2,4,5,4,2,2,5,5,3,2,2,2,5,5,5,5,2,5,5,2,4,5,5,4,3,5,5,2,2,5,5,3,4,5,3,2,3,4,5,5,4,5,5,5,4,2,2,4,5,5,5,3,2,2,2,2,4,5,5,5,5,3,2,4,5,5,2,4,5,5,5,2,4,4,4,5,3,2,2,4,3,5,5,2,2,2,2,2,5,4,2,5,5,3,4,3,2,2,5,5,5,5,3,5,4,4,4,3,4,5,5,4,5,4,3,4,5,5,4,4,3,2,3,5,5,5,5,4,4,4,5,5,5,5,4,3,3,5,4,2,4,4,2,3,3,2,5,5,2,3,2,2,2,2,2,2,2,2,5,4,4,5,4,5,4,2,2,3,5,5,3,2,5,5,4,5,4,2,2,2,3,5,3,4,5,5,5,5,3,3,5,4,3,2,3,3,4,5,2,2,2,2,2,2,2,2,5,5,4,3,5,5,3,3,2,3,5,4,2,2,2,2,2,2,4,3,2,5,5,4,3,5,5,4,5,4,2,2,2,2,4,2,2,3,5,5,3,5,5,4,5,5,5,5,5,4,5,5,5,5,4,3,5,5,2,3,5,4,4,4,2,5,3,2,3,2,5,4,2,2,2,4,5,5,2,2,3,3,4,4,5,5,4,5,5,5,5,3,4,3,3,5,2,5,5,2,2,2,3,3,4,5,4,3,4,4,3,2,4,5,5,4,2,4,3,2,2,2,4,2,5,5,2,3
+3,3,2,2,2,2,2,4,5,5,4,5,5,2,4,4,4,5,5,5,5,5,4,3,3,5,5,5,3,2,2,2,2,3,5,5,5,4,5,5,2,2,3,2,2,2,3,4,3,2,2,2,2,3,3,5,5,2,2,2,5,5,3,5,5,4,5,5,4,5,5,4,4,4,2,2,2,2,2,2,4,3,2,2,2,4,5,2,2,3,4,3,2,4,4,3,5,4,4,4,2,5,5,4,3,2,2,5,5,2,5,5,4,5,2,2,5,4,2,4,4,3,5,5,4,3,3,3,2,2,2,3,4,5,5,4,5,5,5,5,3,5,5,3,3,5,5,5,4,3,4,3,4,2,2,2,2,3,2,2,2,3,3,4,3,2,2,2,2,2,2,2,4,3,3,5,3,2,4,5,5,5,5,4,4,3,2,4,5,3,3,5,5,5,5,4,4,5,5,5,5,3,2,3,3,2,4,5,4,3,5,5,2,2,3,5,5,4,4,3,3,3,5,5,2,5,4,2,2,3,5,5,5,4,5,4,3,5,5,5,4,3,5,4,3,2,4,5,2,2,4,4,3,5,5,4,5,4,2,2,5,5,5,5,2,3,3,4,5,2,2,2,3,5,2,2,4,2,3,5,3,3,5,3,2,4,4,3,3,5,5,5,5,3,3,5,4,3,3,2,3,5,5,5,5,3,3,4,4,2,5,5,3,5,5,4,3,4,5,5,4,3,3,5,3,3,4,4,5,3,3,4,5,4,2,2,5,4,2,5,5,3,3,3,5,5,3,4,5,5,3,3,2,2,3,3,2,4,4,2,3,5,4,3,5
diff --git a/tests/output/test_high_por_cluster.csv b/tests/output/test_high_por_cluster.csv
index e2afcee..fbe5569 100644
--- a/tests/output/test_high_por_cluster.csv
+++ b/tests/output/test_high_por_cluster.csv
@@ -3,13 +3,6 @@ timeseries :
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0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)","(5, 0, 0, 2, 0)","(0, 0, 0, 0, 0)"
-total PO :,7300,total FO :,0
-PO rate :,0.05,FO rate :,0.0
 total simultaneous PO :
 5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5
 5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5
diff --git a/tests/output/test_one_unit_cluster.csv b/tests/output/test_one_unit_cluster.csv
index cd3098c..204ba8f 100644
--- a/tests/output/test_one_unit_cluster.csv
+++ b/tests/output/test_one_unit_cluster.csv
@@ -1,12 +1,7 @@
 timeseries :
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-"outage duration ([POD, FOD]) :"
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-PO rate :,0.0466,FO rate :,0.1753
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+total PO :,64,total FO :,256
+PO rate :,0.0438,FO rate :,0.1753
diff --git a/tests/output/uniform_law_distrib.png b/tests/output/uniform_law_distrib.png
index 2e8d43a..f234703 100644
Binary files a/tests/output/uniform_law_distrib.png and b/tests/output/uniform_law_distrib.png differ
diff --git a/tests/test.py b/tests/test.py
new file mode 100644
index 0000000..970d291
--- /dev/null
+++ b/tests/test.py
@@ -0,0 +1,55 @@
+# Copyright (c) 2024, RTE (https://www.rte-france.com)
+#
+# See AUTHORS.txt
+#
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#
+# SPDX-License-Identifier: MPL-2.0
+#
+# This file is part of the Antares project.
+
+import csv
+from pathlib import Path
+
+import pytest
+
+from cluster_import import import_thermal_cluster
+from ts_generator import ThermalCluster, ThermalDataGenerator
+
+
+@pytest.fixture
+def cluster(data_directory) -> ThermalCluster:
+    return import_thermal_cluster(data_directory / "cluster_40.csv")
+
+
+def test_cluster(cluster, output_directory):
+    ts_nb = 1
+
+    generator = ThermalDataGenerator()
+    results = generator.generate_time_series(cluster, ts_nb)
+
+    tot_po = 0
+    tot_fo = 0
+    for i in range(365 * ts_nb):
+        tot_po += results.nb_ppo[i // 365][i % 365] * 2
+        tot_fo += results.nb_pfo[i // 365][i % 365] * 8
+    true_por = tot_po / (365 * ts_nb)
+    true_for = tot_fo / (365 * ts_nb)
+
+    with open(output_directory / "cluster.csv", "w") as file:
+        writer = csv.writer(file, delimiter=",", quotechar='"')
+
+        writer.writerow(["timeseries :"])
+        writer.writerows(
+            [
+                [line[i] for i in range(0, len(line), 24)]
+                for line in results.available_power
+            ]
+        )
+
+        writer.writerow(["total PO :", tot_po, "total FO :", tot_fo])
+        writer.writerow(
+            ["PO rate :", round(true_por, 4), "FO rate :", round(true_for, 4)]
+        )
diff --git a/tests/test_parsing.py b/tests/test_parsing.py
new file mode 100644
index 0000000..dd9b413
--- /dev/null
+++ b/tests/test_parsing.py
@@ -0,0 +1,60 @@
+# Copyright (c) 2024, RTE (https://www.rte-france.com)
+#
+# See AUTHORS.txt
+#
+# This Source Code Form is subject to the terms of the Mozilla Public
+# License, v. 2.0. If a copy of the MPL was not distributed with this
+# file, You can obtain one at http://mozilla.org/MPL/2.0/.
+#
+# SPDX-License-Identifier: MPL-2.0
+#
+# This file is part of the Antares project.
+
+import pytest
+
+from cluster_parsing import parse_cluster_ts, parse_yaml_cluster
+from cluster_resolve import resolve_thermal_cluster
+from ts_generator import ProbilityLaw, ThermalCluster, ThermalDataGenerator
+
+NB_OF_DAY = 10
+
+
+@pytest.fixture
+def cluster() -> ThermalCluster:
+    return ThermalCluster(
+        unit_count=1,
+        nominal_power=500,
+        modulation=[1 for i in range(24)],
+        fo_law=ProbilityLaw.UNIFORM,
+        fo_volatility=0,
+        po_law=ProbilityLaw.UNIFORM,
+        po_volatility=0,
+        fo_duration=[2 for i in range(NB_OF_DAY)],
+        fo_rate=[0.2 for i in range(NB_OF_DAY)],
+        po_duration=[1 for i in range(NB_OF_DAY)],
+        po_rate=[0.1 for i in range(NB_OF_DAY)],
+        npo_min=[0 for i in range(NB_OF_DAY)],
+        npo_max=[1 for i in range(NB_OF_DAY)],
+    )
+
+
+def test(cluster, data_directory):
+    with (data_directory / "cluster.yaml").open("r") as file:
+        yaml_cluster = parse_yaml_cluster(file)
+    ts_param = parse_cluster_ts(data_directory / "ts_param.csv")
+    modulation = parse_cluster_ts(data_directory / "modulation.csv")
+    cld = resolve_thermal_cluster(yaml_cluster, ts_param, modulation)
+
+    assert cld.unit_count == cluster.unit_count
+    assert cld.nominal_power == cluster.nominal_power
+    assert cld.modulation == cluster.modulation
+    assert cld.fo_law == cluster.fo_law
+    assert cld.fo_volatility == cluster.fo_volatility
+    assert cld.po_law == cluster.po_law
+    assert cld.po_volatility == cluster.po_volatility
+    assert cld.fo_duration == cluster.fo_duration
+    assert cld.fo_rate == cluster.fo_rate
+    assert cld.po_duration == cluster.po_duration
+    assert cld.po_rate == cluster.po_rate
+    assert cld.npo_min == cluster.npo_min
+    assert cld.npo_max == cluster.npo_max