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a/_sources/git/11-ci.md.txt +++ b/_sources/git/11-ci.md.txt @@ -29,7 +29,7 @@ with each job having it's own environment. A minimal example of this file is: ```yaml my_first_job: - image: gitlab-registry.cern.ch/ci-tools/ci-worker:cc7 + image: gitlab-registry.cern.ch/linuxsupport/alma9-base script: - python -c 'import this' - echo "My first CI produced file" > output.txt @@ -39,7 +39,8 @@ my_first_job: This creates a single job named `my_first_job` and the `image:` key defines a [docker image](https://www.freecodecamp.org/news/a-beginner-friendly-introduction-to-containers-vms-and-docker-79a9e3e119b/) which is used the define the environment that is used to run the job. In this case we use an -[official CERN CentOS 7 image](https://gitlab.cern.ch/ci-tools/ci-worker/container_registry). +[official CERN AlmaLinux 9 image](https://gitlab.cern.ch:/linuxsupport/alma9-base/container_registry). +More images are listed at the [documentation pages](https://linux.web.cern.ch/dockerimages/) for linux at CERN. The `script:` key then defines one or more commands which are executed sequentially. If any of the command return a non-zero exit code the execution stops and the "build" is marked as failed. diff --git a/advanced-python/10Basics.html b/advanced-python/10Basics.html index 7a9ce5c8..d6d3e0b3 100644 --- a/advanced-python/10Basics.html +++ b/advanced-python/10Basics.html @@ -749,9 +749,9 @@

Jupyter 
---2024-03-13 13:12:20--  https://example.com/index.html
+--2024-04-04 16:48:49--  https://example.com/index.html
 Resolving example.com (example.com)... 93.184.216.34, 2606:2800:220:1:248:1893:25c8:1946
-Connecting to example.com (example.com)|93.184.216.34|:443... connected.
+Connecting to example.com (example.com)|93.184.216.34|:443...
@@ -759,6 +759,7 @@

Jupyter 

+connected.
 HTTP request sent, awaiting response... 200 OK
 Length: 1256 (1.2K) [text/html]
 Saving to: ‘index.html’
@@ -767,7 +768,7 @@

Jupyter index.html 100%[===================>] 1.23K –.-KB/s in 0s

-

2024-03-13 13:12:20 (75.6 MB/s) - ‘index.html’ saved [1256/1256]

+

2024-04-04 16:48:49 (90.6 MB/s) - ‘index.html’ saved [1256/1256]

</pre>

@@ -775,14 +776,14 @@

Jupyter index.html 100%[===================>] 1.23K –.-KB/s in 0s

-

2024-03-13 13:12:20 (75.6 MB/s) - ‘index.html’ saved [1256/1256]

+

2024-04-04 16:48:49 (90.6 MB/s) - ‘index.html’ saved [1256/1256]

end{sphinxVerbatim}

index.html 0%[ ] 0 –.-KB/s index.html 100%[===================>] 1.23K –.-KB/s in 0s

-

2024-03-13 13:12:20 (75.6 MB/s) - ‘index.html’ saved [1256/1256]

+

2024-04-04 16:48:49 (90.6 MB/s) - ‘index.html’ saved [1256/1256]

Time how long something takes for one line:

@@ -798,8 +799,8 @@

Jupyter 

-CPU times: user 617 µs, sys: 0 ns, total: 617 µs
-Wall time: 621 µs
+CPU times: user 655 µs, sys: 0 ns, total: 655 µs
+Wall time: 659 µs
@@ -828,8 +829,8 @@

Jupyter 

-CPU times: user 1.01 ms, sys: 262 µs, total: 1.27 ms
-Wall time: 1.28 ms
+CPU times: user 1.05 ms, sys: 216 µs, total: 1.27 ms
+Wall time: 1.27 ms

If something takes longer than you expect, you can profile it to find out where it spends it’s time:

diff --git a/advanced-python/10Basics.ipynb b/advanced-python/10Basics.ipynb index d964c29b..e9b281d0 100644 --- a/advanced-python/10Basics.ipynb +++ b/advanced-python/10Basics.ipynb @@ -54,10 +54,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.118262Z", - "iopub.status.busy": "2024-03-13T13:12:20.118099Z", - "iopub.status.idle": "2024-03-13T13:12:20.123608Z", - "shell.execute_reply": "2024-03-13T13:12:20.123141Z" + "iopub.execute_input": "2024-04-04T16:48:49.687461Z", + "iopub.status.busy": "2024-04-04T16:48:49.687292Z", + "iopub.status.idle": "2024-04-04T16:48:49.693003Z", + "shell.execute_reply": "2024-04-04T16:48:49.692491Z" } }, "outputs": [ @@ -84,10 +84,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.149399Z", - "iopub.status.busy": "2024-03-13T13:12:20.148971Z", - "iopub.status.idle": "2024-03-13T13:12:20.152118Z", - "shell.execute_reply": "2024-03-13T13:12:20.151681Z" + "iopub.execute_input": "2024-04-04T16:48:49.718898Z", + "iopub.status.busy": "2024-04-04T16:48:49.718560Z", + "iopub.status.idle": "2024-04-04T16:48:49.721764Z", + "shell.execute_reply": "2024-04-04T16:48:49.721304Z" } }, "outputs": [ @@ -114,10 +114,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.153872Z", - "iopub.status.busy": "2024-03-13T13:12:20.153696Z", - "iopub.status.idle": "2024-03-13T13:12:20.156694Z", - "shell.execute_reply": "2024-03-13T13:12:20.156170Z" + "iopub.execute_input": "2024-04-04T16:48:49.723654Z", + "iopub.status.busy": "2024-04-04T16:48:49.723377Z", + "iopub.status.idle": "2024-04-04T16:48:49.726369Z", + "shell.execute_reply": "2024-04-04T16:48:49.725965Z" } }, "outputs": [ @@ -152,10 +152,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.158689Z", - "iopub.status.busy": "2024-03-13T13:12:20.158295Z", - "iopub.status.idle": "2024-03-13T13:12:20.161321Z", - "shell.execute_reply": "2024-03-13T13:12:20.160953Z" + "iopub.execute_input": "2024-04-04T16:48:49.728284Z", + "iopub.status.busy": "2024-04-04T16:48:49.727828Z", + "iopub.status.idle": "2024-04-04T16:48:49.730891Z", + "shell.execute_reply": "2024-04-04T16:48:49.730505Z" } }, "outputs": [ @@ -188,10 +188,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.163239Z", - "iopub.status.busy": "2024-03-13T13:12:20.162833Z", - "iopub.status.idle": "2024-03-13T13:12:20.165702Z", - "shell.execute_reply": "2024-03-13T13:12:20.165243Z" + "iopub.execute_input": "2024-04-04T16:48:49.732450Z", + "iopub.status.busy": "2024-04-04T16:48:49.732298Z", + "iopub.status.idle": "2024-04-04T16:48:49.735044Z", + "shell.execute_reply": "2024-04-04T16:48:49.734574Z" } }, "outputs": [ @@ -213,10 +213,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.167576Z", - "iopub.status.busy": "2024-03-13T13:12:20.167164Z", - "iopub.status.idle": "2024-03-13T13:12:20.169915Z", - "shell.execute_reply": "2024-03-13T13:12:20.169465Z" + "iopub.execute_input": "2024-04-04T16:48:49.736894Z", + "iopub.status.busy": "2024-04-04T16:48:49.736532Z", + "iopub.status.idle": "2024-04-04T16:48:49.739262Z", + "shell.execute_reply": "2024-04-04T16:48:49.738804Z" } }, "outputs": [ @@ -297,10 +297,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.171767Z", - "iopub.status.busy": "2024-03-13T13:12:20.171484Z", - "iopub.status.idle": "2024-03-13T13:12:20.174321Z", - "shell.execute_reply": "2024-03-13T13:12:20.173926Z" + "iopub.execute_input": "2024-04-04T16:48:49.741132Z", + "iopub.status.busy": "2024-04-04T16:48:49.740768Z", + "iopub.status.idle": "2024-04-04T16:48:49.743663Z", + "shell.execute_reply": "2024-04-04T16:48:49.743191Z" } }, "outputs": [ @@ -342,10 +342,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.176039Z", - "iopub.status.busy": "2024-03-13T13:12:20.175876Z", - "iopub.status.idle": "2024-03-13T13:12:20.180726Z", - "shell.execute_reply": "2024-03-13T13:12:20.180323Z" + "iopub.execute_input": "2024-04-04T16:48:49.745619Z", + "iopub.status.busy": "2024-04-04T16:48:49.745197Z", + "iopub.status.idle": "2024-04-04T16:48:49.749972Z", + "shell.execute_reply": "2024-04-04T16:48:49.749512Z" } }, "outputs": [ @@ -369,10 +369,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.182341Z", - "iopub.status.busy": "2024-03-13T13:12:20.182186Z", - "iopub.status.idle": "2024-03-13T13:12:20.184479Z", - "shell.execute_reply": "2024-03-13T13:12:20.184067Z" + "iopub.execute_input": "2024-04-04T16:48:49.751763Z", + "iopub.status.busy": "2024-04-04T16:48:49.751392Z", + "iopub.status.idle": "2024-04-04T16:48:49.753717Z", + "shell.execute_reply": "2024-04-04T16:48:49.753264Z" } }, "outputs": [], @@ -392,10 +392,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.186379Z", - "iopub.status.busy": "2024-03-13T13:12:20.185994Z", - "iopub.status.idle": "2024-03-13T13:12:20.313340Z", - "shell.execute_reply": "2024-03-13T13:12:20.312702Z" + "iopub.execute_input": "2024-04-04T16:48:49.755724Z", + "iopub.status.busy": "2024-04-04T16:48:49.755286Z", + "iopub.status.idle": "2024-04-04T16:48:49.884948Z", + "shell.execute_reply": "2024-04-04T16:48:49.884409Z" } }, "outputs": [ @@ -422,10 +422,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.315820Z", - "iopub.status.busy": "2024-03-13T13:12:20.315473Z", - "iopub.status.idle": "2024-03-13T13:12:20.496240Z", - "shell.execute_reply": "2024-03-13T13:12:20.495622Z" + "iopub.execute_input": "2024-04-04T16:48:49.887289Z", + "iopub.status.busy": "2024-04-04T16:48:49.887104Z", + "iopub.status.idle": "2024-04-04T16:48:50.076056Z", + "shell.execute_reply": "2024-04-04T16:48:50.075446Z" } }, "outputs": [ @@ -433,15 +433,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2024-03-13 13:12:20-- https://example.com/index.html\r\n", + "--2024-04-04 16:48:49-- https://example.com/index.html\r\n", "Resolving example.com (example.com)... 93.184.216.34, 2606:2800:220:1:248:1893:25c8:1946\r\n", - "Connecting to example.com (example.com)|93.184.216.34|:443... connected.\r\n" + "Connecting to example.com (example.com)|93.184.216.34|:443... " ] }, { "name": "stdout", "output_type": "stream", "text": [ + "connected.\r\n", "HTTP request sent, awaiting response... 200 OK\r\n", "Length: 1256 (1.2K) [text/html]\r\n", "Saving to: ‘index.html’\r\n", @@ -450,7 +451,7 @@ "index.html 0%[ ] 0 --.-KB/s \r", "index.html 100%[===================>] 1.23K --.-KB/s in 0s \r\n", "\r\n", - "2024-03-13 13:12:20 (75.6 MB/s) - ‘index.html’ saved [1256/1256]\r\n", + "2024-04-04 16:48:49 (90.6 MB/s) - ‘index.html’ saved [1256/1256]\r\n", "\r\n" ] } @@ -471,10 +472,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.498675Z", - "iopub.status.busy": "2024-03-13T13:12:20.498339Z", - "iopub.status.idle": "2024-03-13T13:12:20.503473Z", - "shell.execute_reply": "2024-03-13T13:12:20.503042Z" + "iopub.execute_input": "2024-04-04T16:48:50.078262Z", + "iopub.status.busy": "2024-04-04T16:48:50.078101Z", + "iopub.status.idle": "2024-04-04T16:48:50.083249Z", + "shell.execute_reply": "2024-04-04T16:48:50.082856Z" } }, "outputs": [ @@ -482,8 +483,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 617 µs, sys: 0 ns, total: 617 µs\n", - "Wall time: 621 µs\n" + "CPU times: user 655 µs, sys: 0 ns, total: 655 µs\n", + "Wall time: 659 µs\n" ] }, { @@ -513,10 +514,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.505370Z", - "iopub.status.busy": "2024-03-13T13:12:20.505062Z", - "iopub.status.idle": "2024-03-13T13:12:20.509989Z", - "shell.execute_reply": "2024-03-13T13:12:20.509568Z" + "iopub.execute_input": "2024-04-04T16:48:50.084980Z", + "iopub.status.busy": "2024-04-04T16:48:50.084836Z", + "iopub.status.idle": "2024-04-04T16:48:50.089593Z", + "shell.execute_reply": "2024-04-04T16:48:50.089129Z" } }, "outputs": [ @@ -524,8 +525,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.01 ms, sys: 262 µs, total: 1.27 ms\n", - "Wall time: 1.28 ms\n" + "CPU times: user 1.05 ms, sys: 216 µs, total: 1.27 ms\n", + "Wall time: 1.27 ms\n" ] } ], @@ -568,10 +569,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.511948Z", - "iopub.status.busy": "2024-03-13T13:12:20.511645Z", - "iopub.status.idle": "2024-03-13T13:12:20.514038Z", - "shell.execute_reply": "2024-03-13T13:12:20.513637Z" + "iopub.execute_input": "2024-04-04T16:48:50.091263Z", + "iopub.status.busy": "2024-04-04T16:48:50.091121Z", + "iopub.status.idle": "2024-04-04T16:48:50.093431Z", + "shell.execute_reply": "2024-04-04T16:48:50.092991Z" } }, "outputs": [], @@ -585,10 +586,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.515607Z", - "iopub.status.busy": "2024-03-13T13:12:20.515465Z", - "iopub.status.idle": "2024-03-13T13:12:20.541612Z", - "shell.execute_reply": "2024-03-13T13:12:20.541231Z" + "iopub.execute_input": "2024-04-04T16:48:50.095153Z", + "iopub.status.busy": "2024-04-04T16:48:50.094863Z", + "iopub.status.idle": "2024-04-04T16:48:50.120465Z", + "shell.execute_reply": "2024-04-04T16:48:50.120058Z" } }, "outputs": [], @@ -608,10 +609,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.543541Z", - "iopub.status.busy": "2024-03-13T13:12:20.543241Z", - "iopub.status.idle": "2024-03-13T13:12:20.547054Z", - "shell.execute_reply": "2024-03-13T13:12:20.546647Z" + "iopub.execute_input": "2024-04-04T16:48:50.122218Z", + "iopub.status.busy": "2024-04-04T16:48:50.122075Z", + "iopub.status.idle": "2024-04-04T16:48:50.125785Z", + "shell.execute_reply": "2024-04-04T16:48:50.125396Z" } }, "outputs": [], @@ -624,10 +625,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.548845Z", - "iopub.status.busy": "2024-03-13T13:12:20.548495Z", - "iopub.status.idle": "2024-03-13T13:12:20.552237Z", - "shell.execute_reply": "2024-03-13T13:12:20.551762Z" + "iopub.execute_input": "2024-04-04T16:48:50.127586Z", + "iopub.status.busy": "2024-04-04T16:48:50.127276Z", + "iopub.status.idle": "2024-04-04T16:48:50.130871Z", + "shell.execute_reply": "2024-04-04T16:48:50.130488Z" } }, "outputs": [], @@ -647,10 +648,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.554042Z", - "iopub.status.busy": "2024-03-13T13:12:20.553700Z", - "iopub.status.idle": "2024-03-13T13:12:20.556567Z", - "shell.execute_reply": "2024-03-13T13:12:20.556059Z" + "iopub.execute_input": "2024-04-04T16:48:50.132574Z", + "iopub.status.busy": "2024-04-04T16:48:50.132419Z", + "iopub.status.idle": "2024-04-04T16:48:50.135055Z", + "shell.execute_reply": "2024-04-04T16:48:50.134634Z" } }, "outputs": [ @@ -671,10 +672,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.558273Z", - "iopub.status.busy": "2024-03-13T13:12:20.557989Z", - "iopub.status.idle": "2024-03-13T13:12:20.561405Z", - "shell.execute_reply": "2024-03-13T13:12:20.560934Z" + "iopub.execute_input": "2024-04-04T16:48:50.136659Z", + "iopub.status.busy": "2024-04-04T16:48:50.136520Z", + "iopub.status.idle": "2024-04-04T16:48:50.139821Z", + "shell.execute_reply": "2024-04-04T16:48:50.139355Z" } }, "outputs": [ @@ -698,10 +699,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.563083Z", - "iopub.status.busy": "2024-03-13T13:12:20.562925Z", - "iopub.status.idle": "2024-03-13T13:12:20.566007Z", - "shell.execute_reply": "2024-03-13T13:12:20.565628Z" + "iopub.execute_input": "2024-04-04T16:48:50.141501Z", + "iopub.status.busy": "2024-04-04T16:48:50.141361Z", + "iopub.status.idle": "2024-04-04T16:48:50.144533Z", + "shell.execute_reply": "2024-04-04T16:48:50.144083Z" } }, "outputs": [], @@ -731,10 +732,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.567688Z", - "iopub.status.busy": "2024-03-13T13:12:20.567535Z", - "iopub.status.idle": "2024-03-13T13:12:20.570726Z", - "shell.execute_reply": "2024-03-13T13:12:20.570249Z" + "iopub.execute_input": "2024-04-04T16:48:50.146453Z", + "iopub.status.busy": "2024-04-04T16:48:50.146084Z", + "iopub.status.idle": "2024-04-04T16:48:50.149252Z", + "shell.execute_reply": "2024-04-04T16:48:50.148809Z" } }, "outputs": [ @@ -758,10 +759,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.572653Z", - "iopub.status.busy": "2024-03-13T13:12:20.572282Z", - "iopub.status.idle": "2024-03-13T13:12:20.817147Z", - "shell.execute_reply": "2024-03-13T13:12:20.816693Z" + "iopub.execute_input": "2024-04-04T16:48:50.151101Z", + "iopub.status.busy": "2024-04-04T16:48:50.150737Z", + "iopub.status.idle": "2024-04-04T16:48:50.397358Z", + "shell.execute_reply": "2024-04-04T16:48:50.396813Z" }, "tags": [ "raises-exception" @@ -800,10 +801,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.819100Z", - "iopub.status.busy": "2024-03-13T13:12:20.818943Z", - "iopub.status.idle": "2024-03-13T13:12:20.822477Z", - "shell.execute_reply": "2024-03-13T13:12:20.822085Z" + "iopub.execute_input": "2024-04-04T16:48:50.399597Z", + "iopub.status.busy": "2024-04-04T16:48:50.399221Z", + "iopub.status.idle": "2024-04-04T16:48:50.402953Z", + "shell.execute_reply": "2024-04-04T16:48:50.402567Z" } }, "outputs": [ @@ -849,10 +850,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:20.824270Z", - "iopub.status.busy": "2024-03-13T13:12:20.823959Z", - "iopub.status.idle": "2024-03-13T13:12:20.842330Z", - "shell.execute_reply": "2024-03-13T13:12:20.841923Z" + "iopub.execute_input": "2024-04-04T16:48:50.404773Z", + "iopub.status.busy": "2024-04-04T16:48:50.404398Z", + "iopub.status.idle": "2024-04-04T16:48:50.422589Z", + "shell.execute_reply": "2024-04-04T16:48:50.422179Z" }, "tags": [ "raises-exception" diff --git a/advanced-python/11AdvancedPython.ipynb b/advanced-python/11AdvancedPython.ipynb index ae31b7e2..9d047d0f 100644 --- a/advanced-python/11AdvancedPython.ipynb +++ b/advanced-python/11AdvancedPython.ipynb @@ -19,10 +19,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.660380Z", - "iopub.status.busy": "2024-03-13T13:12:22.660193Z", - "iopub.status.idle": "2024-03-13T13:12:22.664973Z", - "shell.execute_reply": "2024-03-13T13:12:22.664508Z" + "iopub.execute_input": "2024-04-04T16:48:52.264469Z", + "iopub.status.busy": "2024-04-04T16:48:52.264307Z", + "iopub.status.idle": "2024-04-04T16:48:52.269115Z", + "shell.execute_reply": "2024-04-04T16:48:52.268749Z" } }, "outputs": [], @@ -46,10 +46,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.666835Z", - "iopub.status.busy": "2024-03-13T13:12:22.666518Z", - "iopub.status.idle": "2024-03-13T13:12:22.668847Z", - "shell.execute_reply": "2024-03-13T13:12:22.668482Z" + "iopub.execute_input": "2024-04-04T16:48:52.270837Z", + "iopub.status.busy": "2024-04-04T16:48:52.270680Z", + "iopub.status.idle": "2024-04-04T16:48:52.273118Z", + "shell.execute_reply": "2024-04-04T16:48:52.272739Z" } }, "outputs": [], @@ -62,10 +62,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.670599Z", - "iopub.status.busy": "2024-03-13T13:12:22.670303Z", - "iopub.status.idle": "2024-03-13T13:12:22.674965Z", - "shell.execute_reply": "2024-03-13T13:12:22.674582Z" + "iopub.execute_input": "2024-04-04T16:48:52.274679Z", + "iopub.status.busy": "2024-04-04T16:48:52.274527Z", + "iopub.status.idle": "2024-04-04T16:48:52.279061Z", + "shell.execute_reply": "2024-04-04T16:48:52.278692Z" } }, "outputs": [ @@ -96,10 +96,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.676818Z", - "iopub.status.busy": "2024-03-13T13:12:22.676451Z", - "iopub.status.idle": "2024-03-13T13:12:22.678943Z", - "shell.execute_reply": "2024-03-13T13:12:22.678488Z" + "iopub.execute_input": "2024-04-04T16:48:52.280668Z", + "iopub.status.busy": "2024-04-04T16:48:52.280528Z", + "iopub.status.idle": "2024-04-04T16:48:52.282744Z", + "shell.execute_reply": "2024-04-04T16:48:52.282395Z" } }, "outputs": [], @@ -112,10 +112,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.680665Z", - "iopub.status.busy": "2024-03-13T13:12:22.680375Z", - "iopub.status.idle": "2024-03-13T13:12:22.683283Z", - "shell.execute_reply": "2024-03-13T13:12:22.682908Z" + "iopub.execute_input": "2024-04-04T16:48:52.284547Z", + "iopub.status.busy": "2024-04-04T16:48:52.284259Z", + "iopub.status.idle": "2024-04-04T16:48:52.287171Z", + "shell.execute_reply": "2024-04-04T16:48:52.286816Z" } }, "outputs": [ @@ -146,10 +146,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.685083Z", - "iopub.status.busy": "2024-03-13T13:12:22.684924Z", - "iopub.status.idle": "2024-03-13T13:12:22.687332Z", - "shell.execute_reply": "2024-03-13T13:12:22.686946Z" + "iopub.execute_input": "2024-04-04T16:48:52.288997Z", + "iopub.status.busy": "2024-04-04T16:48:52.288694Z", + "iopub.status.idle": "2024-04-04T16:48:52.291017Z", + "shell.execute_reply": "2024-04-04T16:48:52.290545Z" } }, "outputs": [], @@ -169,10 +169,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.688969Z", - "iopub.status.busy": "2024-03-13T13:12:22.688818Z", - "iopub.status.idle": "2024-03-13T13:12:22.691103Z", - "shell.execute_reply": "2024-03-13T13:12:22.690722Z" + "iopub.execute_input": "2024-04-04T16:48:52.292815Z", + "iopub.status.busy": "2024-04-04T16:48:52.292532Z", + "iopub.status.idle": "2024-04-04T16:48:52.294857Z", + "shell.execute_reply": "2024-04-04T16:48:52.294424Z" } }, "outputs": [], @@ -192,10 +192,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.692769Z", - "iopub.status.busy": "2024-03-13T13:12:22.692527Z", - "iopub.status.idle": "2024-03-13T13:12:22.695034Z", - "shell.execute_reply": "2024-03-13T13:12:22.694656Z" + "iopub.execute_input": "2024-04-04T16:48:52.296658Z", + "iopub.status.busy": "2024-04-04T16:48:52.296259Z", + "iopub.status.idle": "2024-04-04T16:48:52.298792Z", + "shell.execute_reply": "2024-04-04T16:48:52.298347Z" } }, "outputs": [], @@ -210,10 +210,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.696614Z", - "iopub.status.busy": "2024-03-13T13:12:22.696463Z", - "iopub.status.idle": "2024-03-13T13:12:22.699403Z", - "shell.execute_reply": "2024-03-13T13:12:22.699013Z" + "iopub.execute_input": "2024-04-04T16:48:52.300608Z", + "iopub.status.busy": "2024-04-04T16:48:52.300227Z", + "iopub.status.idle": "2024-04-04T16:48:52.303179Z", + "shell.execute_reply": "2024-04-04T16:48:52.302723Z" } }, "outputs": [ @@ -237,10 +237,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.701045Z", - "iopub.status.busy": "2024-03-13T13:12:22.700899Z", - "iopub.status.idle": "2024-03-13T13:12:22.703553Z", - "shell.execute_reply": "2024-03-13T13:12:22.703166Z" + "iopub.execute_input": "2024-04-04T16:48:52.304886Z", + "iopub.status.busy": "2024-04-04T16:48:52.304650Z", + "iopub.status.idle": "2024-04-04T16:48:52.307236Z", + "shell.execute_reply": "2024-04-04T16:48:52.306777Z" } }, "outputs": [ @@ -262,10 +262,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.705378Z", - "iopub.status.busy": "2024-03-13T13:12:22.705092Z", - "iopub.status.idle": "2024-03-13T13:12:22.707263Z", - "shell.execute_reply": "2024-03-13T13:12:22.706880Z" + "iopub.execute_input": "2024-04-04T16:48:52.308919Z", + "iopub.status.busy": "2024-04-04T16:48:52.308767Z", + "iopub.status.idle": "2024-04-04T16:48:52.310745Z", + "shell.execute_reply": "2024-04-04T16:48:52.310404Z" } }, "outputs": [], @@ -312,10 +312,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.709115Z", - "iopub.status.busy": "2024-03-13T13:12:22.708759Z", - "iopub.status.idle": "2024-03-13T13:12:22.711372Z", - "shell.execute_reply": "2024-03-13T13:12:22.710991Z" + "iopub.execute_input": "2024-04-04T16:48:52.312415Z", + "iopub.status.busy": "2024-04-04T16:48:52.312133Z", + "iopub.status.idle": "2024-04-04T16:48:52.314692Z", + "shell.execute_reply": "2024-04-04T16:48:52.314253Z" } }, "outputs": [], @@ -335,10 +335,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.713058Z", - "iopub.status.busy": "2024-03-13T13:12:22.712907Z", - "iopub.status.idle": "2024-03-13T13:12:22.715520Z", - "shell.execute_reply": "2024-03-13T13:12:22.715102Z" + "iopub.execute_input": "2024-04-04T16:48:52.316403Z", + "iopub.status.busy": "2024-04-04T16:48:52.316111Z", + "iopub.status.idle": "2024-04-04T16:48:52.318872Z", + "shell.execute_reply": "2024-04-04T16:48:52.318431Z" } }, "outputs": [ @@ -373,10 +373,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.717143Z", - "iopub.status.busy": "2024-03-13T13:12:22.716992Z", - "iopub.status.idle": "2024-03-13T13:12:22.719581Z", - "shell.execute_reply": "2024-03-13T13:12:22.719211Z" + "iopub.execute_input": "2024-04-04T16:48:52.320641Z", + "iopub.status.busy": "2024-04-04T16:48:52.320284Z", + "iopub.status.idle": "2024-04-04T16:48:52.322735Z", + "shell.execute_reply": "2024-04-04T16:48:52.322371Z" } }, "outputs": [], @@ -397,10 +397,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.721273Z", - "iopub.status.busy": "2024-03-13T13:12:22.721122Z", - "iopub.status.idle": "2024-03-13T13:12:22.723688Z", - "shell.execute_reply": "2024-03-13T13:12:22.723313Z" + "iopub.execute_input": "2024-04-04T16:48:52.324390Z", + "iopub.status.busy": "2024-04-04T16:48:52.324233Z", + "iopub.status.idle": "2024-04-04T16:48:52.326790Z", + "shell.execute_reply": "2024-04-04T16:48:52.326411Z" } }, "outputs": [], @@ -427,10 +427,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.725398Z", - "iopub.status.busy": "2024-03-13T13:12:22.725247Z", - "iopub.status.idle": "2024-03-13T13:12:22.727433Z", - "shell.execute_reply": "2024-03-13T13:12:22.727083Z" + "iopub.execute_input": "2024-04-04T16:48:52.328592Z", + "iopub.status.busy": "2024-04-04T16:48:52.328303Z", + "iopub.status.idle": "2024-04-04T16:48:52.330559Z", + "shell.execute_reply": "2024-04-04T16:48:52.330191Z" } }, "outputs": [], @@ -456,10 +456,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.729184Z", - "iopub.status.busy": "2024-03-13T13:12:22.729034Z", - "iopub.status.idle": "2024-03-13T13:12:22.731853Z", - "shell.execute_reply": "2024-03-13T13:12:22.731412Z" + "iopub.execute_input": "2024-04-04T16:48:52.332208Z", + "iopub.status.busy": "2024-04-04T16:48:52.332070Z", + "iopub.status.idle": "2024-04-04T16:48:52.334769Z", + "shell.execute_reply": "2024-04-04T16:48:52.334342Z" } }, "outputs": [ @@ -489,10 +489,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.733746Z", - "iopub.status.busy": "2024-03-13T13:12:22.733342Z", - "iopub.status.idle": "2024-03-13T13:12:22.735806Z", - "shell.execute_reply": "2024-03-13T13:12:22.735440Z" + "iopub.execute_input": "2024-04-04T16:48:52.336359Z", + "iopub.status.busy": "2024-04-04T16:48:52.336222Z", + "iopub.status.idle": "2024-04-04T16:48:52.338548Z", + "shell.execute_reply": "2024-04-04T16:48:52.338191Z" } }, "outputs": [], @@ -519,10 +519,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.737560Z", - "iopub.status.busy": "2024-03-13T13:12:22.737262Z", - "iopub.status.idle": "2024-03-13T13:12:22.740106Z", - "shell.execute_reply": "2024-03-13T13:12:22.739715Z" + "iopub.execute_input": "2024-04-04T16:48:52.340141Z", + "iopub.status.busy": "2024-04-04T16:48:52.340002Z", + "iopub.status.idle": "2024-04-04T16:48:52.342715Z", + "shell.execute_reply": "2024-04-04T16:48:52.342376Z" } }, "outputs": [], @@ -547,10 +547,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.741790Z", - "iopub.status.busy": "2024-03-13T13:12:22.741639Z", - "iopub.status.idle": "2024-03-13T13:12:22.743993Z", - "shell.execute_reply": "2024-03-13T13:12:22.743570Z" + "iopub.execute_input": "2024-04-04T16:48:52.344416Z", + "iopub.status.busy": "2024-04-04T16:48:52.344123Z", + "iopub.status.idle": "2024-04-04T16:48:52.346694Z", + "shell.execute_reply": "2024-04-04T16:48:52.346239Z" } }, "outputs": [ @@ -590,10 +590,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.745671Z", - "iopub.status.busy": "2024-03-13T13:12:22.745524Z", - "iopub.status.idle": "2024-03-13T13:12:22.747932Z", - "shell.execute_reply": "2024-03-13T13:12:22.747555Z" + "iopub.execute_input": "2024-04-04T16:48:52.348509Z", + "iopub.status.busy": "2024-04-04T16:48:52.348223Z", + "iopub.status.idle": "2024-04-04T16:48:52.350586Z", + "shell.execute_reply": "2024-04-04T16:48:52.350215Z" } }, "outputs": [], @@ -609,10 +609,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.749485Z", - "iopub.status.busy": "2024-03-13T13:12:22.749339Z", - "iopub.status.idle": "2024-03-13T13:12:22.751461Z", - "shell.execute_reply": "2024-03-13T13:12:22.751103Z" + "iopub.execute_input": "2024-04-04T16:48:52.352127Z", + "iopub.status.busy": "2024-04-04T16:48:52.351990Z", + "iopub.status.idle": "2024-04-04T16:48:52.354089Z", + "shell.execute_reply": "2024-04-04T16:48:52.353727Z" } }, "outputs": [], @@ -625,10 +625,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.753033Z", - "iopub.status.busy": "2024-03-13T13:12:22.752885Z", - "iopub.status.idle": "2024-03-13T13:12:22.755872Z", - "shell.execute_reply": "2024-03-13T13:12:22.755488Z" + "iopub.execute_input": "2024-04-04T16:48:52.355905Z", + "iopub.status.busy": "2024-04-04T16:48:52.355545Z", + "iopub.status.idle": "2024-04-04T16:48:52.358685Z", + "shell.execute_reply": "2024-04-04T16:48:52.358309Z" } }, "outputs": [ @@ -652,10 +652,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.757452Z", - "iopub.status.busy": "2024-03-13T13:12:22.757300Z", - "iopub.status.idle": "2024-03-13T13:12:22.759614Z", - "shell.execute_reply": "2024-03-13T13:12:22.759256Z" + "iopub.execute_input": "2024-04-04T16:48:52.360245Z", + "iopub.status.busy": "2024-04-04T16:48:52.360105Z", + "iopub.status.idle": "2024-04-04T16:48:52.362407Z", + "shell.execute_reply": "2024-04-04T16:48:52.362046Z" } }, "outputs": [], @@ -672,10 +672,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.761243Z", - "iopub.status.busy": "2024-03-13T13:12:22.761091Z", - "iopub.status.idle": "2024-03-13T13:12:22.763255Z", - "shell.execute_reply": "2024-03-13T13:12:22.762898Z" + "iopub.execute_input": "2024-04-04T16:48:52.364107Z", + "iopub.status.busy": "2024-04-04T16:48:52.363797Z", + "iopub.status.idle": "2024-04-04T16:48:52.365911Z", + "shell.execute_reply": "2024-04-04T16:48:52.365560Z" } }, "outputs": [], @@ -688,10 +688,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.764813Z", - "iopub.status.busy": "2024-03-13T13:12:22.764666Z", - "iopub.status.idle": "2024-03-13T13:12:22.767716Z", - "shell.execute_reply": "2024-03-13T13:12:22.767243Z" + "iopub.execute_input": "2024-04-04T16:48:52.367659Z", + "iopub.status.busy": "2024-04-04T16:48:52.367374Z", + "iopub.status.idle": "2024-04-04T16:48:52.370344Z", + "shell.execute_reply": "2024-04-04T16:48:52.370003Z" } }, "outputs": [ @@ -715,10 +715,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.769546Z", - "iopub.status.busy": "2024-03-13T13:12:22.769332Z", - "iopub.status.idle": "2024-03-13T13:12:22.771515Z", - "shell.execute_reply": "2024-03-13T13:12:22.771058Z" + "iopub.execute_input": "2024-04-04T16:48:52.372170Z", + "iopub.status.busy": "2024-04-04T16:48:52.371816Z", + "iopub.status.idle": "2024-04-04T16:48:52.373909Z", + "shell.execute_reply": "2024-04-04T16:48:52.373538Z" } }, "outputs": [], @@ -758,10 +758,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.773514Z", - "iopub.status.busy": "2024-03-13T13:12:22.773149Z", - "iopub.status.idle": "2024-03-13T13:12:22.776092Z", - "shell.execute_reply": "2024-03-13T13:12:22.775639Z" + "iopub.execute_input": "2024-04-04T16:48:52.375511Z", + "iopub.status.busy": "2024-04-04T16:48:52.375377Z", + "iopub.status.idle": "2024-04-04T16:48:52.378042Z", + "shell.execute_reply": "2024-04-04T16:48:52.377699Z" } }, "outputs": [], @@ -783,10 +783,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.777890Z", - "iopub.status.busy": "2024-03-13T13:12:22.777592Z", - "iopub.status.idle": "2024-03-13T13:12:22.779762Z", - "shell.execute_reply": "2024-03-13T13:12:22.779393Z" + "iopub.execute_input": "2024-04-04T16:48:52.379748Z", + "iopub.status.busy": "2024-04-04T16:48:52.379611Z", + "iopub.status.idle": "2024-04-04T16:48:52.381709Z", + "shell.execute_reply": "2024-04-04T16:48:52.381337Z" } }, "outputs": [], @@ -800,10 +800,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.781352Z", - "iopub.status.busy": "2024-03-13T13:12:22.781213Z", - "iopub.status.idle": "2024-03-13T13:12:22.783301Z", - "shell.execute_reply": "2024-03-13T13:12:22.782941Z" + "iopub.execute_input": "2024-04-04T16:48:52.383235Z", + "iopub.status.busy": "2024-04-04T16:48:52.383100Z", + "iopub.status.idle": "2024-04-04T16:48:52.385143Z", + "shell.execute_reply": "2024-04-04T16:48:52.384802Z" } }, "outputs": [], @@ -816,10 +816,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.784961Z", - "iopub.status.busy": "2024-03-13T13:12:22.784820Z", - "iopub.status.idle": "2024-03-13T13:12:22.787069Z", - "shell.execute_reply": "2024-03-13T13:12:22.786600Z" + "iopub.execute_input": "2024-04-04T16:48:52.386732Z", + "iopub.status.busy": "2024-04-04T16:48:52.386578Z", + "iopub.status.idle": "2024-04-04T16:48:52.388653Z", + "shell.execute_reply": "2024-04-04T16:48:52.388296Z" } }, "outputs": [], @@ -832,10 +832,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.788932Z", - "iopub.status.busy": "2024-03-13T13:12:22.788562Z", - "iopub.status.idle": "2024-03-13T13:12:22.791146Z", - "shell.execute_reply": "2024-03-13T13:12:22.790726Z" + "iopub.execute_input": "2024-04-04T16:48:52.390368Z", + "iopub.status.busy": "2024-04-04T16:48:52.390071Z", + "iopub.status.idle": "2024-04-04T16:48:52.392529Z", + "shell.execute_reply": "2024-04-04T16:48:52.392117Z" } }, "outputs": [ @@ -858,10 +858,10 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.792727Z", - "iopub.status.busy": "2024-03-13T13:12:22.792589Z", - "iopub.status.idle": "2024-03-13T13:12:22.794711Z", - "shell.execute_reply": "2024-03-13T13:12:22.794332Z" + "iopub.execute_input": "2024-04-04T16:48:52.394065Z", + "iopub.status.busy": "2024-04-04T16:48:52.393930Z", + "iopub.status.idle": "2024-04-04T16:48:52.395890Z", + "shell.execute_reply": "2024-04-04T16:48:52.395534Z" } }, "outputs": [], @@ -883,10 +883,10 @@ "execution_count": 34, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.796274Z", - "iopub.status.busy": "2024-03-13T13:12:22.796139Z", - "iopub.status.idle": "2024-03-13T13:12:22.798334Z", - "shell.execute_reply": "2024-03-13T13:12:22.797971Z" + "iopub.execute_input": "2024-04-04T16:48:52.397528Z", + "iopub.status.busy": "2024-04-04T16:48:52.397368Z", + "iopub.status.idle": "2024-04-04T16:48:52.399559Z", + "shell.execute_reply": "2024-04-04T16:48:52.399214Z" } }, "outputs": [], @@ -926,10 +926,10 @@ "execution_count": 35, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.799919Z", - "iopub.status.busy": "2024-03-13T13:12:22.799780Z", - "iopub.status.idle": "2024-03-13T13:12:22.920767Z", - "shell.execute_reply": "2024-03-13T13:12:22.920248Z" + "iopub.execute_input": "2024-04-04T16:48:52.401335Z", + "iopub.status.busy": "2024-04-04T16:48:52.401056Z", + "iopub.status.idle": "2024-04-04T16:48:52.520014Z", + "shell.execute_reply": "2024-04-04T16:48:52.519519Z" }, "tags": [ "raises-exception" @@ -964,10 +964,10 @@ "execution_count": 36, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.922963Z", - "iopub.status.busy": "2024-03-13T13:12:22.922511Z", - "iopub.status.idle": "2024-03-13T13:12:22.932740Z", - "shell.execute_reply": "2024-03-13T13:12:22.932270Z" + "iopub.execute_input": "2024-04-04T16:48:52.522103Z", + "iopub.status.busy": "2024-04-04T16:48:52.521804Z", + "iopub.status.idle": "2024-04-04T16:48:52.531522Z", + "shell.execute_reply": "2024-04-04T16:48:52.531091Z" }, "tags": [ "raises-exception" @@ -1010,10 +1010,10 @@ "execution_count": 37, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.934607Z", - "iopub.status.busy": "2024-03-13T13:12:22.934325Z", - "iopub.status.idle": "2024-03-13T13:12:22.936708Z", - "shell.execute_reply": "2024-03-13T13:12:22.936222Z" + "iopub.execute_input": "2024-04-04T16:48:52.533330Z", + "iopub.status.busy": "2024-04-04T16:48:52.533058Z", + "iopub.status.idle": "2024-04-04T16:48:52.535344Z", + "shell.execute_reply": "2024-04-04T16:48:52.534907Z" } }, "outputs": [], @@ -1027,10 +1027,10 @@ "execution_count": 38, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.938587Z", - "iopub.status.busy": "2024-03-13T13:12:22.938305Z", - "iopub.status.idle": "2024-03-13T13:12:22.947374Z", - "shell.execute_reply": "2024-03-13T13:12:22.946917Z" + "iopub.execute_input": "2024-04-04T16:48:52.537152Z", + "iopub.status.busy": "2024-04-04T16:48:52.536812Z", + "iopub.status.idle": "2024-04-04T16:48:52.545856Z", + "shell.execute_reply": "2024-04-04T16:48:52.545413Z" }, "tags": [ "raises-exception" @@ -1069,10 +1069,10 @@ "execution_count": 39, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.949178Z", - "iopub.status.busy": "2024-03-13T13:12:22.948909Z", - "iopub.status.idle": "2024-03-13T13:12:22.951196Z", - "shell.execute_reply": "2024-03-13T13:12:22.950768Z" + "iopub.execute_input": "2024-04-04T16:48:52.547678Z", + "iopub.status.busy": "2024-04-04T16:48:52.547331Z", + "iopub.status.idle": "2024-04-04T16:48:52.549574Z", + "shell.execute_reply": "2024-04-04T16:48:52.549226Z" } }, "outputs": [], @@ -1103,10 +1103,10 @@ "execution_count": 40, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.953159Z", - "iopub.status.busy": "2024-03-13T13:12:22.952829Z", - "iopub.status.idle": "2024-03-13T13:12:22.955608Z", - "shell.execute_reply": "2024-03-13T13:12:22.955173Z" + "iopub.execute_input": "2024-04-04T16:48:52.551435Z", + "iopub.status.busy": "2024-04-04T16:48:52.551045Z", + "iopub.status.idle": "2024-04-04T16:48:52.553880Z", + "shell.execute_reply": "2024-04-04T16:48:52.553457Z" } }, "outputs": [ @@ -1152,10 +1152,10 @@ "execution_count": 41, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.957480Z", - "iopub.status.busy": "2024-03-13T13:12:22.957138Z", - "iopub.status.idle": "2024-03-13T13:12:22.959409Z", - "shell.execute_reply": "2024-03-13T13:12:22.959033Z" + "iopub.execute_input": "2024-04-04T16:48:52.555664Z", + "iopub.status.busy": "2024-04-04T16:48:52.555390Z", + "iopub.status.idle": "2024-04-04T16:48:52.557668Z", + "shell.execute_reply": "2024-04-04T16:48:52.557252Z" } }, "outputs": [], @@ -1172,10 +1172,10 @@ "execution_count": 42, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.961248Z", - "iopub.status.busy": "2024-03-13T13:12:22.960901Z", - "iopub.status.idle": "2024-03-13T13:12:22.972319Z", - "shell.execute_reply": "2024-03-13T13:12:22.971860Z" + "iopub.execute_input": "2024-04-04T16:48:52.559469Z", + "iopub.status.busy": "2024-04-04T16:48:52.559088Z", + "iopub.status.idle": "2024-04-04T16:48:52.571008Z", + "shell.execute_reply": "2024-04-04T16:48:52.570548Z" }, "tags": [ "raises-exception" @@ -1227,10 +1227,10 @@ "execution_count": 43, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.974191Z", - "iopub.status.busy": "2024-03-13T13:12:22.973843Z", - "iopub.status.idle": "2024-03-13T13:12:22.976922Z", - "shell.execute_reply": "2024-03-13T13:12:22.976481Z" + "iopub.execute_input": "2024-04-04T16:48:52.572897Z", + "iopub.status.busy": "2024-04-04T16:48:52.572612Z", + "iopub.status.idle": "2024-04-04T16:48:52.575691Z", + "shell.execute_reply": "2024-04-04T16:48:52.575257Z" }, "pycharm": { "name": "#%%\n" @@ -1275,10 +1275,10 @@ "execution_count": 44, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.978611Z", - "iopub.status.busy": "2024-03-13T13:12:22.978415Z", - "iopub.status.idle": "2024-03-13T13:12:22.989412Z", - "shell.execute_reply": "2024-03-13T13:12:22.988985Z" + "iopub.execute_input": "2024-04-04T16:48:52.577544Z", + "iopub.status.busy": "2024-04-04T16:48:52.577200Z", + "iopub.status.idle": "2024-04-04T16:48:52.589438Z", + "shell.execute_reply": "2024-04-04T16:48:52.588984Z" }, "pycharm": { "name": "#%%\n" @@ -1335,10 +1335,10 @@ "execution_count": 45, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:22.991234Z", - "iopub.status.busy": "2024-03-13T13:12:22.990932Z", - "iopub.status.idle": "2024-03-13T13:12:23.000475Z", - "shell.execute_reply": "2024-03-13T13:12:23.000049Z" + "iopub.execute_input": "2024-04-04T16:48:52.591285Z", + "iopub.status.busy": "2024-04-04T16:48:52.591012Z", + "iopub.status.idle": "2024-04-04T16:48:52.600431Z", + "shell.execute_reply": "2024-04-04T16:48:52.599992Z" }, "pycharm": { "name": "#%%\n" @@ -1388,10 +1388,10 @@ "execution_count": 46, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:23.002350Z", - "iopub.status.busy": "2024-03-13T13:12:23.001967Z", - "iopub.status.idle": "2024-03-13T13:12:23.004859Z", - "shell.execute_reply": "2024-03-13T13:12:23.004484Z" + "iopub.execute_input": "2024-04-04T16:48:52.602171Z", + "iopub.status.busy": "2024-04-04T16:48:52.601893Z", + "iopub.status.idle": "2024-04-04T16:48:52.604730Z", + "shell.execute_reply": "2024-04-04T16:48:52.604292Z" }, "pycharm": { "name": "#%%\n" @@ -1419,10 +1419,10 @@ "execution_count": 47, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:23.006639Z", - "iopub.status.busy": "2024-03-13T13:12:23.006344Z", - "iopub.status.idle": "2024-03-13T13:12:23.009749Z", - "shell.execute_reply": "2024-03-13T13:12:23.009276Z" + "iopub.execute_input": "2024-04-04T16:48:52.606374Z", + "iopub.status.busy": "2024-04-04T16:48:52.606116Z", + "iopub.status.idle": "2024-04-04T16:48:52.609451Z", + "shell.execute_reply": "2024-04-04T16:48:52.609031Z" }, "pycharm": { "name": "#%%\n" @@ -1471,10 +1471,10 @@ "execution_count": 48, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:23.011657Z", - "iopub.status.busy": "2024-03-13T13:12:23.011309Z", - "iopub.status.idle": "2024-03-13T13:12:23.013843Z", - "shell.execute_reply": "2024-03-13T13:12:23.013378Z" + "iopub.execute_input": "2024-04-04T16:48:52.611248Z", + "iopub.status.busy": "2024-04-04T16:48:52.610941Z", + "iopub.status.idle": "2024-04-04T16:48:52.613278Z", + "shell.execute_reply": "2024-04-04T16:48:52.612926Z" }, "pycharm": { "name": "#%%\n" @@ -1493,10 +1493,10 @@ "execution_count": 49, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:23.015682Z", - "iopub.status.busy": "2024-03-13T13:12:23.015337Z", - "iopub.status.idle": "2024-03-13T13:12:23.029629Z", - "shell.execute_reply": "2024-03-13T13:12:23.029233Z" + "iopub.execute_input": "2024-04-04T16:48:52.614890Z", + "iopub.status.busy": "2024-04-04T16:48:52.614640Z", + "iopub.status.idle": "2024-04-04T16:48:52.628850Z", + "shell.execute_reply": "2024-04-04T16:48:52.628450Z" }, "pycharm": { "name": "#%%\n" @@ -1528,10 +1528,10 @@ "execution_count": 50, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:23.031359Z", - "iopub.status.busy": "2024-03-13T13:12:23.031094Z", - "iopub.status.idle": "2024-03-13T13:12:23.034445Z", - "shell.execute_reply": "2024-03-13T13:12:23.034088Z" + "iopub.execute_input": "2024-04-04T16:48:52.630517Z", + "iopub.status.busy": "2024-04-04T16:48:52.630361Z", + "iopub.status.idle": "2024-04-04T16:48:52.633853Z", + "shell.execute_reply": "2024-04-04T16:48:52.633465Z" }, "pycharm": { "name": "#%%\n" diff --git a/advanced-python/12AdvancedClasses.ipynb b/advanced-python/12AdvancedClasses.ipynb index 0293dc0a..01197852 100644 --- a/advanced-python/12AdvancedClasses.ipynb +++ b/advanced-python/12AdvancedClasses.ipynb @@ -22,10 +22,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.034771Z", - "iopub.status.busy": "2024-03-13T13:12:25.034380Z", - "iopub.status.idle": "2024-03-13T13:12:25.040321Z", - "shell.execute_reply": "2024-03-13T13:12:25.039933Z" + "iopub.execute_input": "2024-04-04T16:48:54.642546Z", + "iopub.status.busy": "2024-04-04T16:48:54.642382Z", + "iopub.status.idle": "2024-04-04T16:48:54.648153Z", + "shell.execute_reply": "2024-04-04T16:48:54.647667Z" } }, "outputs": [], @@ -63,10 +63,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.041972Z", - "iopub.status.busy": "2024-03-13T13:12:25.041823Z", - "iopub.status.idle": "2024-03-13T13:12:25.044035Z", - "shell.execute_reply": "2024-03-13T13:12:25.043675Z" + "iopub.execute_input": "2024-04-04T16:48:54.650153Z", + "iopub.status.busy": "2024-04-04T16:48:54.649824Z", + "iopub.status.idle": "2024-04-04T16:48:54.652238Z", + "shell.execute_reply": "2024-04-04T16:48:54.651764Z" } }, "outputs": [], @@ -80,10 +80,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.045872Z", - "iopub.status.busy": "2024-03-13T13:12:25.045578Z", - "iopub.status.idle": "2024-03-13T13:12:25.050913Z", - "shell.execute_reply": "2024-03-13T13:12:25.050502Z" + "iopub.execute_input": "2024-04-04T16:48:54.653840Z", + "iopub.status.busy": "2024-04-04T16:48:54.653698Z", + "iopub.status.idle": "2024-04-04T16:48:54.659098Z", + "shell.execute_reply": "2024-04-04T16:48:54.658710Z" } }, "outputs": [ @@ -134,10 +134,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.052688Z", - "iopub.status.busy": "2024-03-13T13:12:25.052419Z", - "iopub.status.idle": "2024-03-13T13:12:25.055461Z", - "shell.execute_reply": "2024-03-13T13:12:25.055016Z" + "iopub.execute_input": "2024-04-04T16:48:54.660919Z", + "iopub.status.busy": "2024-04-04T16:48:54.660611Z", + "iopub.status.idle": "2024-04-04T16:48:54.663740Z", + "shell.execute_reply": "2024-04-04T16:48:54.663355Z" } }, "outputs": [], @@ -182,10 +182,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.057236Z", - "iopub.status.busy": "2024-03-13T13:12:25.057079Z", - "iopub.status.idle": "2024-03-13T13:12:25.059806Z", - "shell.execute_reply": "2024-03-13T13:12:25.059322Z" + "iopub.execute_input": "2024-04-04T16:48:54.665526Z", + "iopub.status.busy": "2024-04-04T16:48:54.665219Z", + "iopub.status.idle": "2024-04-04T16:48:54.667676Z", + "shell.execute_reply": "2024-04-04T16:48:54.667317Z" } }, "outputs": [], @@ -204,10 +204,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.061762Z", - "iopub.status.busy": "2024-03-13T13:12:25.061363Z", - "iopub.status.idle": "2024-03-13T13:12:25.063994Z", - "shell.execute_reply": "2024-03-13T13:12:25.063504Z" + "iopub.execute_input": "2024-04-04T16:48:54.669605Z", + "iopub.status.busy": "2024-04-04T16:48:54.669156Z", + "iopub.status.idle": "2024-04-04T16:48:54.671565Z", + "shell.execute_reply": "2024-04-04T16:48:54.671173Z" } }, "outputs": [], @@ -221,10 +221,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.065742Z", - "iopub.status.busy": "2024-03-13T13:12:25.065450Z", - "iopub.status.idle": "2024-03-13T13:12:25.068118Z", - "shell.execute_reply": "2024-03-13T13:12:25.067665Z" + "iopub.execute_input": "2024-04-04T16:48:54.673177Z", + "iopub.status.busy": "2024-04-04T16:48:54.673026Z", + "iopub.status.idle": "2024-04-04T16:48:54.675643Z", + "shell.execute_reply": "2024-04-04T16:48:54.675259Z" } }, "outputs": [ @@ -245,10 +245,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.070032Z", - "iopub.status.busy": "2024-03-13T13:12:25.069637Z", - "iopub.status.idle": "2024-03-13T13:12:25.072688Z", - "shell.execute_reply": "2024-03-13T13:12:25.072278Z" + "iopub.execute_input": "2024-04-04T16:48:54.677383Z", + "iopub.status.busy": "2024-04-04T16:48:54.677076Z", + "iopub.status.idle": "2024-04-04T16:48:54.679675Z", + "shell.execute_reply": "2024-04-04T16:48:54.679239Z" } }, "outputs": [ @@ -288,10 +288,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.074328Z", - "iopub.status.busy": "2024-03-13T13:12:25.074189Z", - "iopub.status.idle": "2024-03-13T13:12:25.077222Z", - "shell.execute_reply": "2024-03-13T13:12:25.076862Z" + "iopub.execute_input": "2024-04-04T16:48:54.681530Z", + "iopub.status.busy": "2024-04-04T16:48:54.681234Z", + "iopub.status.idle": "2024-04-04T16:48:54.684424Z", + "shell.execute_reply": "2024-04-04T16:48:54.683913Z" } }, "outputs": [], @@ -315,10 +315,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.078928Z", - "iopub.status.busy": "2024-03-13T13:12:25.078779Z", - "iopub.status.idle": "2024-03-13T13:12:25.081062Z", - "shell.execute_reply": "2024-03-13T13:12:25.080676Z" + "iopub.execute_input": "2024-04-04T16:48:54.686244Z", + "iopub.status.busy": "2024-04-04T16:48:54.685874Z", + "iopub.status.idle": "2024-04-04T16:48:54.688277Z", + "shell.execute_reply": "2024-04-04T16:48:54.687781Z" } }, "outputs": [], @@ -331,10 +331,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.082628Z", - "iopub.status.busy": "2024-03-13T13:12:25.082487Z", - "iopub.status.idle": "2024-03-13T13:12:25.086077Z", - "shell.execute_reply": "2024-03-13T13:12:25.085637Z" + "iopub.execute_input": "2024-04-04T16:48:54.690018Z", + "iopub.status.busy": "2024-04-04T16:48:54.689719Z", + "iopub.status.idle": "2024-04-04T16:48:54.693102Z", + "shell.execute_reply": "2024-04-04T16:48:54.692689Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.087753Z", - "iopub.status.busy": "2024-03-13T13:12:25.087463Z", - "iopub.status.idle": "2024-03-13T13:12:25.089827Z", - "shell.execute_reply": "2024-03-13T13:12:25.089361Z" + "iopub.execute_input": "2024-04-04T16:48:54.694851Z", + "iopub.status.busy": "2024-04-04T16:48:54.694550Z", + "iopub.status.idle": "2024-04-04T16:48:54.696973Z", + "shell.execute_reply": "2024-04-04T16:48:54.696524Z" } }, "outputs": [ @@ -404,10 +404,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.091589Z", - "iopub.status.busy": "2024-03-13T13:12:25.091340Z", - "iopub.status.idle": "2024-03-13T13:12:25.093982Z", - "shell.execute_reply": "2024-03-13T13:12:25.093533Z" + "iopub.execute_input": "2024-04-04T16:48:54.698735Z", + "iopub.status.busy": "2024-04-04T16:48:54.698432Z", + "iopub.status.idle": "2024-04-04T16:48:54.700910Z", + "shell.execute_reply": "2024-04-04T16:48:54.700559Z" } }, "outputs": [], @@ -425,10 +425,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.095695Z", - "iopub.status.busy": "2024-03-13T13:12:25.095404Z", - "iopub.status.idle": "2024-03-13T13:12:25.097820Z", - "shell.execute_reply": "2024-03-13T13:12:25.097349Z" + "iopub.execute_input": "2024-04-04T16:48:54.702454Z", + "iopub.status.busy": "2024-04-04T16:48:54.702318Z", + "iopub.status.idle": "2024-04-04T16:48:54.704435Z", + "shell.execute_reply": "2024-04-04T16:48:54.704082Z" } }, "outputs": [], @@ -442,10 +442,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.099493Z", - "iopub.status.busy": "2024-03-13T13:12:25.099211Z", - "iopub.status.idle": "2024-03-13T13:12:25.102368Z", - "shell.execute_reply": "2024-03-13T13:12:25.101926Z" + "iopub.execute_input": "2024-04-04T16:48:54.706231Z", + "iopub.status.busy": "2024-04-04T16:48:54.705941Z", + "iopub.status.idle": "2024-04-04T16:48:54.708894Z", + "shell.execute_reply": "2024-04-04T16:48:54.708479Z" } }, "outputs": [ @@ -469,10 +469,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.104324Z", - "iopub.status.busy": "2024-03-13T13:12:25.103947Z", - "iopub.status.idle": "2024-03-13T13:12:25.107180Z", - "shell.execute_reply": "2024-03-13T13:12:25.106711Z" + "iopub.execute_input": "2024-04-04T16:48:54.710707Z", + "iopub.status.busy": "2024-04-04T16:48:54.710407Z", + "iopub.status.idle": "2024-04-04T16:48:54.713526Z", + "shell.execute_reply": "2024-04-04T16:48:54.713149Z" } }, "outputs": [ @@ -534,10 +534,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.108905Z", - "iopub.status.busy": "2024-03-13T13:12:25.108766Z", - "iopub.status.idle": "2024-03-13T13:12:25.111710Z", - "shell.execute_reply": "2024-03-13T13:12:25.111316Z" + "iopub.execute_input": "2024-04-04T16:48:54.715359Z", + "iopub.status.busy": "2024-04-04T16:48:54.715082Z", + "iopub.status.idle": "2024-04-04T16:48:54.718051Z", + "shell.execute_reply": "2024-04-04T16:48:54.717684Z" } }, "outputs": [ @@ -568,10 +568,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.113524Z", - "iopub.status.busy": "2024-03-13T13:12:25.113219Z", - "iopub.status.idle": "2024-03-13T13:12:25.116392Z", - "shell.execute_reply": "2024-03-13T13:12:25.116010Z" + "iopub.execute_input": "2024-04-04T16:48:54.719781Z", + "iopub.status.busy": "2024-04-04T16:48:54.719496Z", + "iopub.status.idle": "2024-04-04T16:48:54.722666Z", + "shell.execute_reply": "2024-04-04T16:48:54.722306Z" } }, "outputs": [ @@ -600,10 +600,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.118138Z", - "iopub.status.busy": "2024-03-13T13:12:25.117818Z", - "iopub.status.idle": "2024-03-13T13:12:25.120909Z", - "shell.execute_reply": "2024-03-13T13:12:25.120485Z" + "iopub.execute_input": "2024-04-04T16:48:54.724412Z", + "iopub.status.busy": "2024-04-04T16:48:54.724130Z", + "iopub.status.idle": "2024-04-04T16:48:54.727349Z", + "shell.execute_reply": "2024-04-04T16:48:54.726897Z" } }, "outputs": [ @@ -646,10 +646,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.122556Z", - "iopub.status.busy": "2024-03-13T13:12:25.122417Z", - "iopub.status.idle": "2024-03-13T13:12:25.125399Z", - "shell.execute_reply": "2024-03-13T13:12:25.125004Z" + "iopub.execute_input": "2024-04-04T16:48:54.729107Z", + "iopub.status.busy": "2024-04-04T16:48:54.728820Z", + "iopub.status.idle": "2024-04-04T16:48:54.731986Z", + "shell.execute_reply": "2024-04-04T16:48:54.731555Z" } }, "outputs": [], @@ -676,10 +676,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.127157Z", - "iopub.status.busy": "2024-03-13T13:12:25.126845Z", - "iopub.status.idle": "2024-03-13T13:12:25.129196Z", - "shell.execute_reply": "2024-03-13T13:12:25.128716Z" + "iopub.execute_input": "2024-04-04T16:48:54.733786Z", + "iopub.status.busy": "2024-04-04T16:48:54.733424Z", + "iopub.status.idle": "2024-04-04T16:48:54.735779Z", + "shell.execute_reply": "2024-04-04T16:48:54.735313Z" } }, "outputs": [], @@ -692,10 +692,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.130856Z", - "iopub.status.busy": "2024-03-13T13:12:25.130700Z", - "iopub.status.idle": "2024-03-13T13:12:25.133773Z", - "shell.execute_reply": "2024-03-13T13:12:25.133408Z" + "iopub.execute_input": "2024-04-04T16:48:54.737666Z", + "iopub.status.busy": "2024-04-04T16:48:54.737268Z", + "iopub.status.idle": "2024-04-04T16:48:54.740447Z", + "shell.execute_reply": "2024-04-04T16:48:54.740005Z" } }, "outputs": [ @@ -719,10 +719,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.135432Z", - "iopub.status.busy": "2024-03-13T13:12:25.135275Z", - "iopub.status.idle": "2024-03-13T13:12:25.138466Z", - "shell.execute_reply": "2024-03-13T13:12:25.138083Z" + "iopub.execute_input": "2024-04-04T16:48:54.742106Z", + "iopub.status.busy": "2024-04-04T16:48:54.741830Z", + "iopub.status.idle": "2024-04-04T16:48:54.744809Z", + "shell.execute_reply": "2024-04-04T16:48:54.744442Z" } }, "outputs": [ @@ -746,10 +746,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.140211Z", - "iopub.status.busy": "2024-03-13T13:12:25.140055Z", - "iopub.status.idle": "2024-03-13T13:12:25.142532Z", - "shell.execute_reply": "2024-03-13T13:12:25.142109Z" + "iopub.execute_input": "2024-04-04T16:48:54.746422Z", + "iopub.status.busy": "2024-04-04T16:48:54.746269Z", + "iopub.status.idle": "2024-04-04T16:48:54.748854Z", + "shell.execute_reply": "2024-04-04T16:48:54.748459Z" } }, "outputs": [ @@ -777,10 +777,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.144179Z", - "iopub.status.busy": "2024-03-13T13:12:25.144028Z", - "iopub.status.idle": "2024-03-13T13:12:25.146662Z", - "shell.execute_reply": "2024-03-13T13:12:25.146270Z" + "iopub.execute_input": "2024-04-04T16:48:54.750525Z", + "iopub.status.busy": "2024-04-04T16:48:54.750362Z", + "iopub.status.idle": "2024-04-04T16:48:54.752814Z", + "shell.execute_reply": "2024-04-04T16:48:54.752390Z" } }, "outputs": [ @@ -801,10 +801,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.148364Z", - "iopub.status.busy": "2024-03-13T13:12:25.148192Z", - "iopub.status.idle": "2024-03-13T13:12:25.150454Z", - "shell.execute_reply": "2024-03-13T13:12:25.150074Z" + "iopub.execute_input": "2024-04-04T16:48:54.754514Z", + "iopub.status.busy": "2024-04-04T16:48:54.754272Z", + "iopub.status.idle": "2024-04-04T16:48:54.756570Z", + "shell.execute_reply": "2024-04-04T16:48:54.756116Z" } }, "outputs": [], @@ -831,10 +831,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:25.152078Z", - "iopub.status.busy": "2024-03-13T13:12:25.151940Z", - "iopub.status.idle": "2024-03-13T13:12:25.154966Z", - "shell.execute_reply": "2024-03-13T13:12:25.154580Z" + "iopub.execute_input": "2024-04-04T16:48:54.758461Z", + "iopub.status.busy": "2024-04-04T16:48:54.758094Z", + "iopub.status.idle": "2024-04-04T16:48:54.761058Z", + "shell.execute_reply": "2024-04-04T16:48:54.760602Z" } }, "outputs": [ diff --git a/advanced-python/20DataAndPlotting.html b/advanced-python/20DataAndPlotting.html index 5b7cb9bb..6e39e244 100644 --- a/advanced-python/20DataAndPlotting.html +++ b/advanced-python/20DataAndPlotting.html @@ -1111,7 +1111,7 @@

Using rectangular cuts 
-<matplotlib.legend.Legend at 0x7f030aa4d090>
+<matplotlib.legend.Legend at 0x7f6492fbe750>
@@ -1257,7 +1257,7 @@

Comparing distributions 
-<matplotlib.legend.Legend at 0x7f030b3f5090>
+<matplotlib.legend.Legend at 0x7f64929ed410>

@@ -1288,7 +1288,7 @@

Comparing distributions 
-<matplotlib.legend.Legend at 0x7f030b44b010>
+<matplotlib.legend.Legend at 0x7f649313bb10>

@@ -1340,7 +1340,7 @@

Comparing distributions 
-/tmp/ipykernel_3155/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
+/tmp/ipykernel_2927/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.
   plt.figure()  # creates a new figure

diff --git a/advanced-python/20DataAndPlotting.ipynb b/advanced-python/20DataAndPlotting.ipynb index a5804ee1..b2601147 100644 --- a/advanced-python/20DataAndPlotting.ipynb +++ b/advanced-python/20DataAndPlotting.ipynb @@ -34,10 +34,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:26.823251Z", - "iopub.status.busy": "2024-03-13T13:12:26.823090Z", - "iopub.status.idle": "2024-03-13T13:12:27.941996Z", - "shell.execute_reply": "2024-03-13T13:12:27.941490Z" + "iopub.execute_input": "2024-04-04T16:48:56.420450Z", + "iopub.status.busy": "2024-04-04T16:48:56.420057Z", + "iopub.status.idle": "2024-04-04T16:48:57.101419Z", + "shell.execute_reply": "2024-04-04T16:48:57.100952Z" } }, "outputs": [], @@ -119,10 +119,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:27.944484Z", - "iopub.status.busy": "2024-03-13T13:12:27.944194Z", - "iopub.status.idle": "2024-03-13T13:12:30.559085Z", - "shell.execute_reply": "2024-03-13T13:12:30.558545Z" + "iopub.execute_input": "2024-04-04T16:48:57.103883Z", + "iopub.status.busy": "2024-04-04T16:48:57.103607Z", + "iopub.status.idle": "2024-04-04T16:48:59.417814Z", + "shell.execute_reply": "2024-04-04T16:48:59.417322Z" } }, "outputs": [ @@ -156,10 +156,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:30.561071Z", - "iopub.status.busy": "2024-03-13T13:12:30.560896Z", - "iopub.status.idle": "2024-03-13T13:12:35.183126Z", - "shell.execute_reply": "2024-03-13T13:12:35.182647Z" + "iopub.execute_input": "2024-04-04T16:48:59.419806Z", + "iopub.status.busy": "2024-04-04T16:48:59.419503Z", + "iopub.status.idle": "2024-04-04T16:49:03.216879Z", + "shell.execute_reply": "2024-04-04T16:49:03.216390Z" } }, "outputs": [ @@ -186,10 +186,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:12:35.185080Z", - "iopub.status.busy": "2024-03-13T13:12:35.184777Z", - "iopub.status.idle": "2024-03-13T13:13:18.225099Z", - "shell.execute_reply": "2024-03-13T13:13:18.224600Z" + "iopub.execute_input": "2024-04-04T16:49:03.218923Z", + "iopub.status.busy": "2024-04-04T16:49:03.218634Z", + "iopub.status.idle": "2024-04-04T16:49:27.066813Z", + "shell.execute_reply": "2024-04-04T16:49:27.066270Z" } }, "outputs": [ @@ -414,10 +414,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:18.227130Z", - "iopub.status.busy": "2024-03-13T13:13:18.226761Z", - "iopub.status.idle": "2024-03-13T13:13:18.230372Z", - "shell.execute_reply": "2024-03-13T13:13:18.229925Z" + "iopub.execute_input": "2024-04-04T16:49:27.069295Z", + "iopub.status.busy": "2024-04-04T16:49:27.068688Z", + "iopub.status.idle": "2024-04-04T16:49:27.072904Z", + "shell.execute_reply": "2024-04-04T16:49:27.072423Z" } }, "outputs": [ @@ -454,10 +454,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:18.232333Z", - "iopub.status.busy": "2024-03-13T13:13:18.231991Z", - "iopub.status.idle": "2024-03-13T13:13:18.346200Z", - "shell.execute_reply": "2024-03-13T13:13:18.345694Z" + "iopub.execute_input": "2024-04-04T16:49:27.075175Z", + "iopub.status.busy": "2024-04-04T16:49:27.074725Z", + "iopub.status.idle": "2024-04-04T16:49:27.191793Z", + "shell.execute_reply": "2024-04-04T16:49:27.191223Z" } }, "outputs": [ @@ -512,10 +512,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:18.348178Z", - "iopub.status.busy": "2024-03-13T13:13:18.348015Z", - "iopub.status.idle": "2024-03-13T13:13:18.351511Z", - "shell.execute_reply": "2024-03-13T13:13:18.351104Z" + "iopub.execute_input": "2024-04-04T16:49:27.193891Z", + "iopub.status.busy": "2024-04-04T16:49:27.193552Z", + "iopub.status.idle": "2024-04-04T16:49:27.197093Z", + "shell.execute_reply": "2024-04-04T16:49:27.196617Z" }, "pycharm": { "name": "#%%\n" @@ -533,10 +533,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:18.353362Z", - "iopub.status.busy": "2024-03-13T13:13:18.353051Z", - "iopub.status.idle": "2024-03-13T13:13:18.650216Z", - "shell.execute_reply": "2024-03-13T13:13:18.649643Z" + "iopub.execute_input": "2024-04-04T16:49:27.199075Z", + "iopub.status.busy": "2024-04-04T16:49:27.198773Z", + "iopub.status.idle": "2024-04-04T16:49:27.496526Z", + "shell.execute_reply": "2024-04-04T16:49:27.495993Z" }, "pycharm": { "name": "#%%\n" @@ -575,10 +575,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:18.652262Z", - "iopub.status.busy": "2024-03-13T13:13:18.652083Z", - "iopub.status.idle": "2024-03-13T13:13:18.932768Z", - "shell.execute_reply": "2024-03-13T13:13:18.932231Z" + "iopub.execute_input": "2024-04-04T16:49:27.499080Z", + "iopub.status.busy": "2024-04-04T16:49:27.498664Z", + "iopub.status.idle": "2024-04-04T16:49:27.795541Z", + "shell.execute_reply": "2024-04-04T16:49:27.794953Z" }, "pycharm": { "name": "#%%\n" @@ -617,10 +617,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:18.934893Z", - "iopub.status.busy": "2024-03-13T13:13:18.934485Z", - "iopub.status.idle": "2024-03-13T13:13:19.727610Z", - "shell.execute_reply": "2024-03-13T13:13:19.727077Z" + "iopub.execute_input": "2024-04-04T16:49:27.797837Z", + "iopub.status.busy": "2024-04-04T16:49:27.797503Z", + "iopub.status.idle": "2024-04-04T16:49:28.612032Z", + "shell.execute_reply": "2024-04-04T16:49:28.611450Z" }, "pycharm": { "name": "#%%\n" @@ -666,10 +666,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:19.730181Z", - "iopub.status.busy": "2024-03-13T13:13:19.729517Z", - "iopub.status.idle": "2024-03-13T13:13:20.080987Z", - "shell.execute_reply": "2024-03-13T13:13:20.080444Z" + "iopub.execute_input": "2024-04-04T16:49:28.614168Z", + "iopub.status.busy": "2024-04-04T16:49:28.613736Z", + "iopub.status.idle": "2024-04-04T16:49:28.964659Z", + "shell.execute_reply": "2024-04-04T16:49:28.964133Z" } }, "outputs": [ @@ -708,10 +708,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:20.082973Z", - "iopub.status.busy": "2024-03-13T13:13:20.082798Z", - "iopub.status.idle": "2024-03-13T13:13:20.095893Z", - "shell.execute_reply": "2024-03-13T13:13:20.095515Z" + "iopub.execute_input": "2024-04-04T16:49:28.966668Z", + "iopub.status.busy": "2024-04-04T16:49:28.966331Z", + "iopub.status.idle": "2024-04-04T16:49:28.980352Z", + "shell.execute_reply": "2024-04-04T16:49:28.979828Z" } }, "outputs": [ @@ -749,10 +749,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:20.097785Z", - "iopub.status.busy": "2024-03-13T13:13:20.097482Z", - "iopub.status.idle": "2024-03-13T13:13:20.116921Z", - "shell.execute_reply": "2024-03-13T13:13:20.116432Z" + "iopub.execute_input": "2024-04-04T16:49:28.982456Z", + "iopub.status.busy": "2024-04-04T16:49:28.982145Z", + "iopub.status.idle": "2024-04-04T16:49:29.001949Z", + "shell.execute_reply": "2024-04-04T16:49:29.001422Z" } }, "outputs": [ @@ -853,10 +853,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:20.118902Z", - "iopub.status.busy": "2024-03-13T13:13:20.118581Z", - "iopub.status.idle": "2024-03-13T13:13:20.451010Z", - "shell.execute_reply": "2024-03-13T13:13:20.450490Z" + "iopub.execute_input": "2024-04-04T16:49:29.004254Z", + "iopub.status.busy": "2024-04-04T16:49:29.003829Z", + "iopub.status.idle": "2024-04-04T16:49:29.333461Z", + "shell.execute_reply": "2024-04-04T16:49:29.332950Z" } }, "outputs": [ @@ -882,10 +882,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:20.453159Z", - "iopub.status.busy": "2024-03-13T13:13:20.452824Z", - "iopub.status.idle": "2024-03-13T13:13:20.810766Z", - "shell.execute_reply": "2024-03-13T13:13:20.810229Z" + "iopub.execute_input": "2024-04-04T16:49:29.335590Z", + "iopub.status.busy": "2024-04-04T16:49:29.335217Z", + "iopub.status.idle": "2024-04-04T16:49:29.684696Z", + "shell.execute_reply": "2024-04-04T16:49:29.684151Z" } }, "outputs": [ @@ -922,17 +922,17 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:20.812795Z", - "iopub.status.busy": "2024-03-13T13:13:20.812624Z", - "iopub.status.idle": "2024-03-13T13:13:21.219912Z", - "shell.execute_reply": "2024-03-13T13:13:21.219379Z" + "iopub.execute_input": "2024-04-04T16:49:29.686727Z", + "iopub.status.busy": "2024-04-04T16:49:29.686391Z", + "iopub.status.idle": "2024-04-04T16:49:30.087223Z", + "shell.execute_reply": "2024-04-04T16:49:30.086729Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -979,10 +979,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:21.222225Z", - "iopub.status.busy": "2024-03-13T13:13:21.221801Z", - "iopub.status.idle": "2024-03-13T13:13:21.226024Z", - "shell.execute_reply": "2024-03-13T13:13:21.225666Z" + "iopub.execute_input": "2024-04-04T16:49:30.089377Z", + "iopub.status.busy": "2024-04-04T16:49:30.089049Z", + "iopub.status.idle": "2024-04-04T16:49:30.092682Z", + "shell.execute_reply": "2024-04-04T16:49:30.092285Z" } }, "outputs": [ @@ -1011,10 +1011,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:21.227845Z", - "iopub.status.busy": "2024-03-13T13:13:21.227527Z", - "iopub.status.idle": "2024-03-13T13:13:26.765561Z", - "shell.execute_reply": "2024-03-13T13:13:26.765124Z" + "iopub.execute_input": "2024-04-04T16:49:30.094385Z", + "iopub.status.busy": "2024-04-04T16:49:30.094088Z", + "iopub.status.idle": "2024-04-04T16:49:35.340543Z", + "shell.execute_reply": "2024-04-04T16:49:35.340085Z" } }, "outputs": [ @@ -1077,10 +1077,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:13:26.767552Z", - "iopub.status.busy": "2024-03-13T13:13:26.767245Z", - "iopub.status.idle": "2024-03-13T13:18:51.897100Z", - "shell.execute_reply": "2024-03-13T13:18:51.896639Z" + "iopub.execute_input": "2024-04-04T16:49:35.342598Z", + "iopub.status.busy": "2024-04-04T16:49:35.342221Z", + "iopub.status.idle": "2024-04-04T16:54:55.044571Z", + "shell.execute_reply": "2024-04-04T16:54:55.044121Z" } }, "outputs": [], @@ -1111,10 +1111,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:18:51.899401Z", - "iopub.status.busy": "2024-03-13T13:18:51.899073Z", - "iopub.status.idle": "2024-03-13T13:18:52.227061Z", - "shell.execute_reply": "2024-03-13T13:18:52.226569Z" + "iopub.execute_input": "2024-04-04T16:54:55.046742Z", + "iopub.status.busy": "2024-04-04T16:54:55.046568Z", + "iopub.status.idle": "2024-04-04T16:54:55.394456Z", + "shell.execute_reply": "2024-04-04T16:54:55.393922Z" } }, "outputs": [ @@ -1155,17 +1155,17 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:18:52.229145Z", - "iopub.status.busy": "2024-03-13T13:18:52.228813Z", - "iopub.status.idle": "2024-03-13T13:18:52.532593Z", - "shell.execute_reply": "2024-03-13T13:18:52.532028Z" + "iopub.execute_input": "2024-04-04T16:54:55.396593Z", + "iopub.status.busy": "2024-04-04T16:54:55.396407Z", + "iopub.status.idle": "2024-04-04T16:54:55.715640Z", + "shell.execute_reply": "2024-04-04T16:54:55.715128Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -1201,17 +1201,17 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:18:52.534491Z", - "iopub.status.busy": "2024-03-13T13:18:52.534323Z", - "iopub.status.idle": "2024-03-13T13:18:52.868843Z", - "shell.execute_reply": "2024-03-13T13:18:52.868335Z" + "iopub.execute_input": "2024-04-04T16:54:55.718234Z", + "iopub.status.busy": "2024-04-04T16:54:55.718039Z", + "iopub.status.idle": "2024-04-04T16:54:56.069118Z", + "shell.execute_reply": "2024-04-04T16:54:56.068558Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -1252,10 +1252,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:18:52.870737Z", - "iopub.status.busy": "2024-03-13T13:18:52.870560Z", - "iopub.status.idle": "2024-03-13T13:18:52.874188Z", - "shell.execute_reply": "2024-03-13T13:18:52.873789Z" + "iopub.execute_input": "2024-04-04T16:54:56.071078Z", + "iopub.status.busy": "2024-04-04T16:54:56.070907Z", + "iopub.status.idle": "2024-04-04T16:54:56.074521Z", + "shell.execute_reply": "2024-04-04T16:54:56.074134Z" } }, "outputs": [], @@ -1291,10 +1291,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:18:52.875851Z", - "iopub.status.busy": "2024-03-13T13:18:52.875700Z", - "iopub.status.idle": "2024-03-13T13:19:03.178432Z", - "shell.execute_reply": "2024-03-13T13:19:03.177945Z" + "iopub.execute_input": "2024-04-04T16:54:56.076478Z", + "iopub.status.busy": "2024-04-04T16:54:56.076099Z", + "iopub.status.idle": "2024-04-04T16:55:07.137500Z", + "shell.execute_reply": "2024-04-04T16:55:07.136934Z" } }, "outputs": [ @@ -1302,7 +1302,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3155/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n", + "/tmp/ipykernel_2927/3447827755.py:2: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`). Consider using `matplotlib.pyplot.close()`.\n", " plt.figure() # creates a new figure\n" ] }, @@ -1661,10 +1661,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:03.180371Z", - "iopub.status.busy": "2024-03-13T13:19:03.180183Z", - "iopub.status.idle": "2024-03-13T13:19:03.869115Z", - "shell.execute_reply": "2024-03-13T13:19:03.868676Z" + "iopub.execute_input": "2024-04-04T16:55:07.139768Z", + "iopub.status.busy": "2024-04-04T16:55:07.139395Z", + "iopub.status.idle": "2024-04-04T16:55:07.849749Z", + "shell.execute_reply": "2024-04-04T16:55:07.849237Z" }, "pycharm": { "name": "#%%\n" diff --git a/advanced-python/30Classification.html b/advanced-python/30Classification.html index 7562cf1e..1123b620 100644 --- a/advanced-python/30Classification.html +++ b/advanced-python/30Classification.html @@ -530,7 +530,7 @@

Using a classifier 
-<matplotlib.legend.Legend at 0x7fddf93c7a10>
+<matplotlib.legend.Legend at 0x7f1207a65990>
@@ -1192,7 +1192,7 @@

TODO Add a diagram of a decision tree for the above plot 
-<matplotlib.legend.Legend at 0x7fde1ac678d0>
+<matplotlib.legend.Legend at 0x7f11ee3c2c90>

@@ -1348,7 +1348,7 @@

Evaluating classifier performance 
-/tmp/ipykernel_3528/4020814425.py:3: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3382/4020814425.py:3: RuntimeWarning: invalid value encountered in divide
   metric = S/np.sqrt(S+B)

@@ -1418,15 +1418,15 @@

Evaluating classifier performance 
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:262: RuntimeWarning: divide by zero encountered in scalar divide
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:273: RuntimeWarning: divide by zero encountered in scalar divide
   self.flat_scale(1 / np.sum(np.diff(self.edges) * self.values))
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:197: RuntimeWarning: All sumw are zero!  Cannot compute meaningful error bars
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:199: RuntimeWarning: All sumw are zero!  Cannot compute meaningful error bars
   return np.abs(method_fcn(self.values, variances) - self.values)
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:242: RuntimeWarning: invalid value encountered in multiply
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:244: RuntimeWarning: invalid value encountered in multiply
   self.values *= scale
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:243: RuntimeWarning: invalid value encountered in multiply
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:245: RuntimeWarning: invalid value encountered in multiply
   self.yerr_lo *= scale
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:244: RuntimeWarning: invalid value encountered in multiply
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:246: RuntimeWarning: invalid value encountered in multiply
   self.yerr_hi *= scale
@@ -1436,7 +1436,7 @@

Evaluating classifier performance 
-<matplotlib.legend.Legend at 0x7fddd5f5fa10>
+<matplotlib.legend.Legend at 0x7f11e4fe2c90>
@@ -1459,7 +1459,7 @@

Evaluating classifier performance 
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:197: RuntimeWarning: All sumw are zero!  Cannot compute meaningful error bars
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:199: RuntimeWarning: All sumw are zero!  Cannot compute meaningful error bars
   return np.abs(method_fcn(self.values, variances) - self.values)

@@ -1581,7 +1581,7 @@

Collecting it all together 
-/tmp/ipykernel_3528/4278176416.py:9: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3382/4278176416.py:9: RuntimeWarning: invalid value encountered in divide
   metric = S/np.sqrt(S+B)
diff --git a/advanced-python/30Classification.ipynb b/advanced-python/30Classification.ipynb index e13e1b52..d9223150 100644 --- a/advanced-python/30Classification.ipynb +++ b/advanced-python/30Classification.ipynb @@ -21,10 +21,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:06.315039Z", - "iopub.status.busy": "2024-03-13T13:19:06.314580Z", - "iopub.status.idle": "2024-03-13T13:19:07.029503Z", - "shell.execute_reply": "2024-03-13T13:19:07.028981Z" + "iopub.execute_input": "2024-04-04T16:55:10.708019Z", + "iopub.status.busy": "2024-04-04T16:55:10.707606Z", + "iopub.status.idle": "2024-04-04T16:55:11.460889Z", + "shell.execute_reply": "2024-04-04T16:55:11.460367Z" } }, "outputs": [], @@ -39,10 +39,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:07.031943Z", - "iopub.status.busy": "2024-03-13T13:19:07.031542Z", - "iopub.status.idle": "2024-03-13T13:19:07.820803Z", - "shell.execute_reply": "2024-03-13T13:19:07.820229Z" + "iopub.execute_input": "2024-04-04T16:55:11.463453Z", + "iopub.status.busy": "2024-04-04T16:55:11.463020Z", + "iopub.status.idle": "2024-04-04T16:55:12.346191Z", + "shell.execute_reply": "2024-04-04T16:55:12.345706Z" } }, "outputs": [], @@ -77,17 +77,17 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:07.823248Z", - "iopub.status.busy": "2024-03-13T13:19:07.822920Z", - "iopub.status.idle": "2024-03-13T13:19:08.952907Z", - "shell.execute_reply": "2024-03-13T13:19:08.952321Z" + "iopub.execute_input": "2024-04-04T16:55:12.348946Z", + "iopub.status.busy": "2024-04-04T16:55:12.348493Z", + "iopub.status.idle": "2024-04-04T16:55:13.502517Z", + "shell.execute_reply": "2024-04-04T16:55:13.501948Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -139,10 +139,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:08.955140Z", - "iopub.status.busy": "2024-03-13T13:19:08.954810Z", - "iopub.status.idle": "2024-03-13T13:19:08.960054Z", - "shell.execute_reply": "2024-03-13T13:19:08.959683Z" + "iopub.execute_input": "2024-04-04T16:55:13.504494Z", + "iopub.status.busy": "2024-04-04T16:55:13.504319Z", + "iopub.status.idle": "2024-04-04T16:55:13.508203Z", + "shell.execute_reply": "2024-04-04T16:55:13.507769Z" } }, "outputs": [ @@ -169,10 +169,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:08.961958Z", - "iopub.status.busy": "2024-03-13T13:19:08.961660Z", - "iopub.status.idle": "2024-03-13T13:19:08.963928Z", - "shell.execute_reply": "2024-03-13T13:19:08.963569Z" + "iopub.execute_input": "2024-04-04T16:55:13.510045Z", + "iopub.status.busy": "2024-04-04T16:55:13.509885Z", + "iopub.status.idle": "2024-04-04T16:55:13.514598Z", + "shell.execute_reply": "2024-04-04T16:55:13.514199Z" } }, "outputs": [], @@ -196,10 +196,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:08.965669Z", - "iopub.status.busy": "2024-03-13T13:19:08.965512Z", - "iopub.status.idle": "2024-03-13T13:19:08.986151Z", - "shell.execute_reply": "2024-03-13T13:19:08.985610Z" + "iopub.execute_input": "2024-04-04T16:55:13.516337Z", + "iopub.status.busy": "2024-04-04T16:55:13.516185Z", + "iopub.status.idle": "2024-04-04T16:55:13.538080Z", + "shell.execute_reply": "2024-04-04T16:55:13.537631Z" } }, "outputs": [], @@ -214,10 +214,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:08.988598Z", - "iopub.status.busy": "2024-03-13T13:19:08.988224Z", - "iopub.status.idle": "2024-03-13T13:19:09.408045Z", - "shell.execute_reply": "2024-03-13T13:19:09.407538Z" + "iopub.execute_input": "2024-04-04T16:55:13.540623Z", + "iopub.status.busy": "2024-04-04T16:55:13.540207Z", + "iopub.status.idle": "2024-04-04T16:55:13.967852Z", + "shell.execute_reply": "2024-04-04T16:55:13.967369Z" } }, "outputs": [ @@ -241,10 +241,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.410183Z", - "iopub.status.busy": "2024-03-13T13:19:09.409856Z", - "iopub.status.idle": "2024-03-13T13:19:09.665218Z", - "shell.execute_reply": "2024-03-13T13:19:09.664742Z" + "iopub.execute_input": "2024-04-04T16:55:13.969945Z", + "iopub.status.busy": "2024-04-04T16:55:13.969620Z", + "iopub.status.idle": "2024-04-04T16:55:14.218233Z", + "shell.execute_reply": "2024-04-04T16:55:14.217770Z" } }, "outputs": [ @@ -713,10 +713,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.667476Z", - "iopub.status.busy": "2024-03-13T13:19:09.667309Z", - "iopub.status.idle": "2024-03-13T13:19:09.675468Z", - "shell.execute_reply": "2024-03-13T13:19:09.675018Z" + "iopub.execute_input": "2024-04-04T16:55:14.220314Z", + "iopub.status.busy": "2024-04-04T16:55:14.220136Z", + "iopub.status.idle": "2024-04-04T16:55:14.228198Z", + "shell.execute_reply": "2024-04-04T16:55:14.227720Z" } }, "outputs": [ @@ -753,10 +753,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.678605Z", - "iopub.status.busy": "2024-03-13T13:19:09.677813Z", - "iopub.status.idle": "2024-03-13T13:19:09.714982Z", - "shell.execute_reply": "2024-03-13T13:19:09.714512Z" + "iopub.execute_input": "2024-04-04T16:55:14.230440Z", + "iopub.status.busy": "2024-04-04T16:55:14.230102Z", + "iopub.status.idle": "2024-04-04T16:55:14.266627Z", + "shell.execute_reply": "2024-04-04T16:55:14.266152Z" } }, "outputs": [ @@ -790,10 +790,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.718315Z", - "iopub.status.busy": "2024-03-13T13:19:09.717501Z", - "iopub.status.idle": "2024-03-13T13:19:09.842231Z", - "shell.execute_reply": "2024-03-13T13:19:09.841756Z" + "iopub.execute_input": "2024-04-04T16:55:14.269648Z", + "iopub.status.busy": "2024-04-04T16:55:14.268809Z", + "iopub.status.idle": "2024-04-04T16:55:14.394812Z", + "shell.execute_reply": "2024-04-04T16:55:14.394304Z" } }, "outputs": [], @@ -816,10 +816,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.845757Z", - "iopub.status.busy": "2024-03-13T13:19:09.844961Z", - "iopub.status.idle": "2024-03-13T13:19:09.975362Z", - "shell.execute_reply": "2024-03-13T13:19:09.974863Z" + "iopub.execute_input": "2024-04-04T16:55:14.398359Z", + "iopub.status.busy": "2024-04-04T16:55:14.397538Z", + "iopub.status.idle": "2024-04-04T16:55:14.521356Z", + "shell.execute_reply": "2024-04-04T16:55:14.520859Z" } }, "outputs": [], @@ -842,10 +842,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.978891Z", - "iopub.status.busy": "2024-03-13T13:19:09.978099Z", - "iopub.status.idle": "2024-03-13T13:19:09.983427Z", - "shell.execute_reply": "2024-03-13T13:19:09.983078Z" + "iopub.execute_input": "2024-04-04T16:55:14.524744Z", + "iopub.status.busy": "2024-04-04T16:55:14.523920Z", + "iopub.status.idle": "2024-04-04T16:55:14.529525Z", + "shell.execute_reply": "2024-04-04T16:55:14.529047Z" } }, "outputs": [], @@ -875,10 +875,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:09.985475Z", - "iopub.status.busy": "2024-03-13T13:19:09.985154Z", - "iopub.status.idle": "2024-03-13T13:19:10.111467Z", - "shell.execute_reply": "2024-03-13T13:19:10.110951Z" + "iopub.execute_input": "2024-04-04T16:55:14.531632Z", + "iopub.status.busy": "2024-04-04T16:55:14.531304Z", + "iopub.status.idle": "2024-04-04T16:55:14.660237Z", + "shell.execute_reply": "2024-04-04T16:55:14.659639Z" } }, "outputs": [ @@ -909,17 +909,17 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:10.113727Z", - "iopub.status.busy": "2024-03-13T13:19:10.113378Z", - "iopub.status.idle": "2024-03-13T13:19:10.381110Z", - "shell.execute_reply": "2024-03-13T13:19:10.380611Z" + "iopub.execute_input": "2024-04-04T16:55:14.662560Z", + "iopub.status.busy": "2024-04-04T16:55:14.662178Z", + "iopub.status.idle": "2024-04-04T16:55:14.944448Z", + "shell.execute_reply": "2024-04-04T16:55:14.943876Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -964,10 +964,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:10.383088Z", - "iopub.status.busy": "2024-03-13T13:19:10.382761Z", - "iopub.status.idle": "2024-03-13T13:19:16.114382Z", - "shell.execute_reply": "2024-03-13T13:19:16.113946Z" + "iopub.execute_input": "2024-04-04T16:55:14.946447Z", + "iopub.status.busy": "2024-04-04T16:55:14.946259Z", + "iopub.status.idle": "2024-04-04T16:55:20.351274Z", + "shell.execute_reply": "2024-04-04T16:55:20.350725Z" } }, "outputs": [ @@ -1012,10 +1012,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.116181Z", - "iopub.status.busy": "2024-03-13T13:19:16.116022Z", - "iopub.status.idle": "2024-03-13T13:19:16.241152Z", - "shell.execute_reply": "2024-03-13T13:19:16.240696Z" + "iopub.execute_input": "2024-04-04T16:55:20.353475Z", + "iopub.status.busy": "2024-04-04T16:55:20.353128Z", + "iopub.status.idle": "2024-04-04T16:55:20.481790Z", + "shell.execute_reply": "2024-04-04T16:55:20.481249Z" } }, "outputs": [ @@ -1050,10 +1050,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.242985Z", - "iopub.status.busy": "2024-03-13T13:19:16.242809Z", - "iopub.status.idle": "2024-03-13T13:19:16.329117Z", - "shell.execute_reply": "2024-03-13T13:19:16.328650Z" + "iopub.execute_input": "2024-04-04T16:55:20.483791Z", + "iopub.status.busy": "2024-04-04T16:55:20.483628Z", + "iopub.status.idle": "2024-04-04T16:55:20.570578Z", + "shell.execute_reply": "2024-04-04T16:55:20.570066Z" } }, "outputs": [], @@ -1079,10 +1079,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.331443Z", - "iopub.status.busy": "2024-03-13T13:19:16.331104Z", - "iopub.status.idle": "2024-03-13T13:19:16.444915Z", - "shell.execute_reply": "2024-03-13T13:19:16.444403Z" + "iopub.execute_input": "2024-04-04T16:55:20.573045Z", + "iopub.status.busy": "2024-04-04T16:55:20.572702Z", + "iopub.status.idle": "2024-04-04T16:55:20.692316Z", + "shell.execute_reply": "2024-04-04T16:55:20.691641Z" } }, "outputs": [ @@ -1121,10 +1121,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.447042Z", - "iopub.status.busy": "2024-03-13T13:19:16.446658Z", - "iopub.status.idle": "2024-03-13T13:19:16.450183Z", - "shell.execute_reply": "2024-03-13T13:19:16.449693Z" + "iopub.execute_input": "2024-04-04T16:55:20.694723Z", + "iopub.status.busy": "2024-04-04T16:55:20.694328Z", + "iopub.status.idle": "2024-04-04T16:55:20.697854Z", + "shell.execute_reply": "2024-04-04T16:55:20.697440Z" } }, "outputs": [], @@ -1137,10 +1137,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.452158Z", - "iopub.status.busy": "2024-03-13T13:19:16.451846Z", - "iopub.status.idle": "2024-03-13T13:19:16.560140Z", - "shell.execute_reply": "2024-03-13T13:19:16.559654Z" + "iopub.execute_input": "2024-04-04T16:55:20.699810Z", + "iopub.status.busy": "2024-04-04T16:55:20.699521Z", + "iopub.status.idle": "2024-04-04T16:55:20.812537Z", + "shell.execute_reply": "2024-04-04T16:55:20.811945Z" } }, "outputs": [ @@ -1181,10 +1181,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.562105Z", - "iopub.status.busy": "2024-03-13T13:19:16.561794Z", - "iopub.status.idle": "2024-03-13T13:19:16.564329Z", - "shell.execute_reply": "2024-03-13T13:19:16.563836Z" + "iopub.execute_input": "2024-04-04T16:55:20.814940Z", + "iopub.status.busy": "2024-04-04T16:55:20.814546Z", + "iopub.status.idle": "2024-04-04T16:55:20.817282Z", + "shell.execute_reply": "2024-04-04T16:55:20.816837Z" } }, "outputs": [], @@ -1205,10 +1205,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.566171Z", - "iopub.status.busy": "2024-03-13T13:19:16.565796Z", - "iopub.status.idle": "2024-03-13T13:19:16.569101Z", - "shell.execute_reply": "2024-03-13T13:19:16.568629Z" + "iopub.execute_input": "2024-04-04T16:55:20.819115Z", + "iopub.status.busy": "2024-04-04T16:55:20.818946Z", + "iopub.status.idle": "2024-04-04T16:55:20.822402Z", + "shell.execute_reply": "2024-04-04T16:55:20.821972Z" } }, "outputs": [ @@ -1216,7 +1216,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3528/4020814425.py:3: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3382/4020814425.py:3: RuntimeWarning: invalid value encountered in divide\n", " metric = S/np.sqrt(S+B)\n" ] } @@ -1239,10 +1239,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.571100Z", - "iopub.status.busy": "2024-03-13T13:19:16.570623Z", - "iopub.status.idle": "2024-03-13T13:19:16.684740Z", - "shell.execute_reply": "2024-03-13T13:19:16.684275Z" + "iopub.execute_input": "2024-04-04T16:55:20.824232Z", + "iopub.status.busy": "2024-04-04T16:55:20.824070Z", + "iopub.status.idle": "2024-04-04T16:55:20.946205Z", + "shell.execute_reply": "2024-04-04T16:55:20.945625Z" } }, "outputs": [ @@ -1286,10 +1286,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.686768Z", - "iopub.status.busy": "2024-03-13T13:19:16.686423Z", - "iopub.status.idle": "2024-03-13T13:19:16.689691Z", - "shell.execute_reply": "2024-03-13T13:19:16.689284Z" + "iopub.execute_input": "2024-04-04T16:55:20.948439Z", + "iopub.status.busy": "2024-04-04T16:55:20.948249Z", + "iopub.status.idle": "2024-04-04T16:55:20.951794Z", + "shell.execute_reply": "2024-04-04T16:55:20.951329Z" } }, "outputs": [ @@ -1313,10 +1313,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.691607Z", - "iopub.status.busy": "2024-03-13T13:19:16.691165Z", - "iopub.status.idle": "2024-03-13T13:19:16.863636Z", - "shell.execute_reply": "2024-03-13T13:19:16.863084Z" + "iopub.execute_input": "2024-04-04T16:55:20.953669Z", + "iopub.status.busy": "2024-04-04T16:55:20.953482Z", + "iopub.status.idle": "2024-04-04T16:55:21.143306Z", + "shell.execute_reply": "2024-04-04T16:55:21.142735Z" } }, "outputs": [ @@ -1324,22 +1324,22 @@ "name": "stderr", "output_type": "stream", "text": [ - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:262: RuntimeWarning: divide by zero encountered in scalar divide\n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:273: RuntimeWarning: divide by zero encountered in scalar divide\n", " self.flat_scale(1 / np.sum(np.diff(self.edges) * self.values))\n", - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:197: RuntimeWarning: All sumw are zero! Cannot compute meaningful error bars\n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:199: RuntimeWarning: All sumw are zero! Cannot compute meaningful error bars\n", " return np.abs(method_fcn(self.values, variances) - self.values)\n", - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:242: RuntimeWarning: invalid value encountered in multiply\n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:244: RuntimeWarning: invalid value encountered in multiply\n", " self.values *= scale\n", - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:243: RuntimeWarning: invalid value encountered in multiply\n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:245: RuntimeWarning: invalid value encountered in multiply\n", " self.yerr_lo *= scale\n", - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:244: RuntimeWarning: invalid value encountered in multiply\n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:246: RuntimeWarning: invalid value encountered in multiply\n", " self.yerr_hi *= scale\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 26, @@ -1371,10 +1371,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.865963Z", - "iopub.status.busy": "2024-03-13T13:19:16.865505Z", - "iopub.status.idle": "2024-03-13T13:19:16.972881Z", - "shell.execute_reply": "2024-03-13T13:19:16.972354Z" + "iopub.execute_input": "2024-04-04T16:55:21.145544Z", + "iopub.status.busy": "2024-04-04T16:55:21.145329Z", + "iopub.status.idle": "2024-04-04T16:55:21.258607Z", + "shell.execute_reply": "2024-04-04T16:55:21.258068Z" } }, "outputs": [ @@ -1382,7 +1382,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:197: RuntimeWarning: All sumw are zero! Cannot compute meaningful error bars\n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/mplhep/utils.py:199: RuntimeWarning: All sumw are zero! Cannot compute meaningful error bars\n", " return np.abs(method_fcn(self.values, variances) - self.values)\n" ] }, @@ -1415,10 +1415,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.974959Z", - "iopub.status.busy": "2024-03-13T13:19:16.974640Z", - "iopub.status.idle": "2024-03-13T13:19:16.978806Z", - "shell.execute_reply": "2024-03-13T13:19:16.978322Z" + "iopub.execute_input": "2024-04-04T16:55:21.261696Z", + "iopub.status.busy": "2024-04-04T16:55:21.261294Z", + "iopub.status.idle": "2024-04-04T16:55:21.265685Z", + "shell.execute_reply": "2024-04-04T16:55:21.265246Z" } }, "outputs": [], @@ -1447,10 +1447,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.980404Z", - "iopub.status.busy": "2024-03-13T13:19:16.980230Z", - "iopub.status.idle": "2024-03-13T13:19:16.983826Z", - "shell.execute_reply": "2024-03-13T13:19:16.983360Z" + "iopub.execute_input": "2024-04-04T16:55:21.267541Z", + "iopub.status.busy": "2024-04-04T16:55:21.267346Z", + "iopub.status.idle": "2024-04-04T16:55:21.271253Z", + "shell.execute_reply": "2024-04-04T16:55:21.270831Z" } }, "outputs": [], @@ -1479,10 +1479,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:19:16.985639Z", - "iopub.status.busy": "2024-03-13T13:19:16.985289Z", - "iopub.status.idle": "2024-03-13T13:25:21.396172Z", - "shell.execute_reply": "2024-03-13T13:25:21.395620Z" + "iopub.execute_input": "2024-04-04T16:55:21.273000Z", + "iopub.status.busy": "2024-04-04T16:55:21.272836Z", + "iopub.status.idle": "2024-04-04T17:01:30.082469Z", + "shell.execute_reply": "2024-04-04T17:01:30.081967Z" } }, "outputs": [ @@ -1497,7 +1497,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3528/4278176416.py:9: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3382/4278176416.py:9: RuntimeWarning: invalid value encountered in divide\n", " metric = S/np.sqrt(S+B)\n" ] }, @@ -1579,10 +1579,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:21.398231Z", - "iopub.status.busy": "2024-03-13T13:25:21.397906Z", - "iopub.status.idle": "2024-03-13T13:25:22.193271Z", - "shell.execute_reply": "2024-03-13T13:25:22.192769Z" + "iopub.execute_input": "2024-04-04T17:01:30.084395Z", + "iopub.status.busy": "2024-04-04T17:01:30.084210Z", + "iopub.status.idle": "2024-04-04T17:01:30.843583Z", + "shell.execute_reply": "2024-04-04T17:01:30.843055Z" } }, "outputs": [ diff --git a/advanced-python/31ClassificationExtension.html b/advanced-python/31ClassificationExtension.html index 56630424..adc16ffb 100644 --- a/advanced-python/31ClassificationExtension.html +++ b/advanced-python/31ClassificationExtension.html @@ -636,7 +636,7 @@

Alternative implimentations 
-/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
@@ -645,9 +645,9 @@

Alternative implimentations 
-/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
@@ -798,11 +798,11 @@

Feature engineering 
-/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
@@ -812,7 +812,7 @@

Feature engineering 
-<matplotlib.legend.Legend at 0x7f4b5e074690>
+<matplotlib.legend.Legend at 0x7f1ffede5150>
diff --git a/advanced-python/31ClassificationExtension.ipynb b/advanced-python/31ClassificationExtension.ipynb index 7c66f94b..5f647795 100644 --- a/advanced-python/31ClassificationExtension.ipynb +++ b/advanced-python/31ClassificationExtension.ipynb @@ -27,10 +27,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:24.252865Z", - "iopub.status.busy": "2024-03-13T13:25:24.252695Z", - "iopub.status.idle": "2024-03-13T13:25:25.251283Z", - "shell.execute_reply": "2024-03-13T13:25:25.250761Z" + "iopub.execute_input": "2024-04-04T17:01:32.961418Z", + "iopub.status.busy": "2024-04-04T17:01:32.961229Z", + "iopub.status.idle": "2024-04-04T17:01:33.967093Z", + "shell.execute_reply": "2024-04-04T17:01:33.966575Z" } }, "outputs": [], @@ -47,10 +47,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:25.253527Z", - "iopub.status.busy": "2024-03-13T13:25:25.253297Z", - "iopub.status.idle": "2024-03-13T13:25:25.881808Z", - "shell.execute_reply": "2024-03-13T13:25:25.881256Z" + "iopub.execute_input": "2024-04-04T17:01:33.969353Z", + "iopub.status.busy": "2024-04-04T17:01:33.969116Z", + "iopub.status.idle": "2024-04-04T17:01:34.604673Z", + "shell.execute_reply": "2024-04-04T17:01:34.604164Z" } }, "outputs": [], @@ -68,10 +68,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:25.884075Z", - "iopub.status.busy": "2024-03-13T13:25:25.883819Z", - "iopub.status.idle": "2024-03-13T13:25:25.890329Z", - "shell.execute_reply": "2024-03-13T13:25:25.889931Z" + "iopub.execute_input": "2024-04-04T17:01:34.607103Z", + "iopub.status.busy": "2024-04-04T17:01:34.606650Z", + "iopub.status.idle": "2024-04-04T17:01:34.613540Z", + "shell.execute_reply": "2024-04-04T17:01:34.613013Z" } }, "outputs": [], @@ -131,10 +131,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:25.892111Z", - "iopub.status.busy": "2024-03-13T13:25:25.891943Z", - "iopub.status.idle": "2024-03-13T13:25:44.652694Z", - "shell.execute_reply": "2024-03-13T13:25:44.652171Z" + "iopub.execute_input": "2024-04-04T17:01:34.615408Z", + "iopub.status.busy": "2024-04-04T17:01:34.615229Z", + "iopub.status.idle": "2024-04-04T17:01:53.811240Z", + "shell.execute_reply": "2024-04-04T17:01:53.810739Z" } }, "outputs": [], @@ -151,10 +151,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:44.654728Z", - "iopub.status.busy": "2024-03-13T13:25:44.654548Z", - "iopub.status.idle": "2024-03-13T13:25:52.145604Z", - "shell.execute_reply": "2024-03-13T13:25:52.145109Z" + "iopub.execute_input": "2024-04-04T17:01:53.813388Z", + "iopub.status.busy": "2024-04-04T17:01:53.813217Z", + "iopub.status.idle": "2024-04-04T17:02:01.434039Z", + "shell.execute_reply": "2024-04-04T17:02:01.433517Z" } }, "outputs": [ @@ -180,10 +180,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:52.147802Z", - "iopub.status.busy": "2024-03-13T13:25:52.147620Z", - "iopub.status.idle": "2024-03-13T13:25:52.518088Z", - "shell.execute_reply": "2024-03-13T13:25:52.517589Z" + "iopub.execute_input": "2024-04-04T17:02:01.436207Z", + "iopub.status.busy": "2024-04-04T17:02:01.436027Z", + "iopub.status.idle": "2024-04-04T17:02:01.820841Z", + "shell.execute_reply": "2024-04-04T17:02:01.820303Z" } }, "outputs": [], @@ -200,10 +200,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:52.521307Z", - "iopub.status.busy": "2024-03-13T13:25:52.520498Z", - "iopub.status.idle": "2024-03-13T13:25:54.105358Z", - "shell.execute_reply": "2024-03-13T13:25:54.104838Z" + "iopub.execute_input": "2024-04-04T17:02:01.823895Z", + "iopub.status.busy": "2024-04-04T17:02:01.822924Z", + "iopub.status.idle": "2024-04-04T17:02:03.429021Z", + "shell.execute_reply": "2024-04-04T17:02:03.428503Z" } }, "outputs": [ @@ -211,7 +211,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n" ] }, @@ -219,9 +219,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n", - "/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n" ] }, @@ -325,10 +325,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:54.107313Z", - "iopub.status.busy": "2024-03-13T13:25:54.107122Z", - "iopub.status.idle": "2024-03-13T13:25:54.625237Z", - "shell.execute_reply": "2024-03-13T13:25:54.624701Z" + "iopub.execute_input": "2024-04-04T17:02:03.431269Z", + "iopub.status.busy": "2024-04-04T17:02:03.430846Z", + "iopub.status.idle": "2024-04-04T17:02:03.959686Z", + "shell.execute_reply": "2024-04-04T17:02:03.959161Z" } }, "outputs": [ @@ -405,10 +405,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:54.627100Z", - "iopub.status.busy": "2024-03-13T13:25:54.626930Z", - "iopub.status.idle": "2024-03-13T13:25:57.587167Z", - "shell.execute_reply": "2024-03-13T13:25:57.586620Z" + "iopub.execute_input": "2024-04-04T17:02:03.961705Z", + "iopub.status.busy": "2024-04-04T17:02:03.961372Z", + "iopub.status.idle": "2024-04-04T17:02:06.975319Z", + "shell.execute_reply": "2024-04-04T17:02:06.974776Z" } }, "outputs": [ @@ -416,18 +416,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n", - "/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n", - "/tmp/ipykernel_3862/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_3731/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 9, diff --git a/advanced-python/33ModelTuning.html b/advanced-python/33ModelTuning.html index 98cb5dbd..02c33ac2 100644 --- a/advanced-python/33ModelTuning.html +++ b/advanced-python/33ModelTuning.html @@ -639,31 +639,31 @@

Model tuning setup 
-/tmp/ipykernel_4072/2007768199.py:11: SettingWithCopyWarning:
+/tmp/ipykernel_3941/2007768199.py:11: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   df.eval('Jpsi_eta = arctanh(Jpsi_PZ/Jpsi_P)', inplace=True)
-/tmp/ipykernel_4072/2007768199.py:12: SettingWithCopyWarning:
+/tmp/ipykernel_3941/2007768199.py:12: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   df.eval('mup_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)', inplace=True)
-/tmp/ipykernel_4072/2007768199.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_3941/2007768199.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   df.eval('mum_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)', inplace=True)
-/tmp/ipykernel_4072/2007768199.py:15: SettingWithCopyWarning:
+/tmp/ipykernel_3941/2007768199.py:15: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
 See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy
   bkg_df['catagory'] = 0  # Use 0 for background
-/tmp/ipykernel_4072/2007768199.py:19: SettingWithCopyWarning:
+/tmp/ipykernel_3941/2007768199.py:19: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -697,7 +697,7 @@ 
Model tuning setup
 
-XGBoost --- 0.8602309226989746 seconds ---
+XGBoost --- 0.8762679100036621 seconds ---

@@ -705,7 +705,7 @@

Model tuning setup 
-/tmp/ipykernel_4072/3009250180.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_3941/3009250180.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -776,7 +776,7 @@ 
Cross-validation
 /usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/sklearn.py:889: UserWarning: `eval_metric` in `fit` method is deprecated for better compatibility with scikit-learn, use `eval_metric` in constructor or`set_params` instead.
   warnings.warn(
-/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [13:30:05] WARNING: /workspace/src/learner.cc:742:
+/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [17:06:13] WARNING: /workspace/src/learner.cc:742:
 Parameters: { "n_threads" } are not used.
 
   warnings.warn(smsg, UserWarning)
@@ -788,7 +788,7 @@ 
Cross-validation
 
 
-XGBoost cross-validation --- 2.013622999191284 seconds ---
+XGBoost cross-validation --- 2.0343854427337646 seconds ---

@@ -810,7 +810,7 @@

Cross-validation 
-/tmp/ipykernel_4072/3553768138.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_3941/3553768138.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -852,7 +852,7 @@ 
Cross-validation
 
-bdt_cv :  S/sqrt(S+B) = 15.169853456648152  at x = 0.8216172
+bdt_cv :  S/sqrt(S+B) = 15.251608197066982  at x = 0.79652405

@@ -915,7 +915,7 @@

\(k\)-folding & early 
 
-XGBoost k-folding --- 2.7012295722961426 seconds ---
+XGBoost k-folding --- 2.783881425857544 seconds ---

@@ -1009,7 +1009,7 @@

\(k\)-folding & early 
 
-XGBoost early-stop folding --- 16.215542316436768 seconds ---
+XGBoost early-stop folding --- 16.710160970687866 seconds ---

@@ -1042,7 +1042,7 @@

\(k\)-folding & early 

-XGBoost early-stop limit --- 6.309895038604736 seconds ---
+XGBoost early-stop limit --- 6.652231931686401 seconds ---
@@ -1055,7 +1055,7 @@

\(k\)-folding & early Train Accuracy : 0.878406430077885 Test Accuracy : 0.8180580234817411 -modelfit(bdt_es) --- 23.138670206069946 seconds --- +modelfit(bdt_es) --- 23.992748975753784 seconds ---

@@ -1063,7 +1063,7 @@

\(k\)-folding & early 

-/tmp/ipykernel_4072/41647419.py:18: SettingWithCopyWarning:
+/tmp/ipykernel_3941/41647419.py:18: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -1098,7 +1098,7 @@ 
\(k\)-folding & early
 
-bdt_cv :  S/sqrt(S+B) = 15.169853456648152  at x = 0.8216172
+bdt_cv :  S/sqrt(S+B) = 15.251608197066982  at x = 0.79652405
@@ -1241,7 +1241,7 @@

Hyperameter optimisation 
-XGBoost grid-scan --- 18.928831338882446 seconds ---
+XGBoost grid-scan --- 19.002870082855225 seconds ---

@@ -1266,7 +1266,7 @@

Hyperameter optimisation @@ -1274,7 +1274,7 @@

Hyperameter optimisation 
-/tmp/ipykernel_4072/1018627576.py:13: SettingWithCopyWarning:
+/tmp/ipykernel_3941/1018627576.py:13: SettingWithCopyWarning:
 A value is trying to be set on a copy of a slice from a DataFrame.
 Try using .loc[row_indexer,col_indexer] = value instead
 
@@ -1372,7 +1372,7 @@ 
Hyperameter optimisation
 
-bdt_cv :  S/sqrt(S+B) = 15.169853456648152  at x = 0.8216172
+bdt_cv :  S/sqrt(S+B) = 15.251608197066982  at x = 0.79652405

@@ -1397,7 +1397,7 @@

Hyperameter optimisation 
-<matplotlib.legend.Legend at 0x7fbaadde1550>
+<matplotlib.legend.Legend at 0x7f919bc36b50>

@@ -1437,7 +1437,7 @@

Hyperameter optimisation 
-<matplotlib.legend.Legend at 0x7fbaadd1b710>
+<matplotlib.legend.Legend at 0x7f919bc014d0>

@@ -1466,8 +1466,8 @@

Hyperameter optimisation 
-Notebook real time --- 305.2563531398773 seconds ---
-Notebook CPU time --- 184.298209235 seconds ---
+Notebook real time --- 305.30211877822876 seconds ---
+Notebook CPU time --- 188.882941402 seconds ---

diff --git a/advanced-python/33ModelTuning.ipynb b/advanced-python/33ModelTuning.ipynb index 9a2c0b6d..1a4dfec0 100644 --- a/advanced-python/33ModelTuning.ipynb +++ b/advanced-python/33ModelTuning.ipynb @@ -12,10 +12,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:59.667467Z", - "iopub.status.busy": "2024-03-13T13:25:59.667075Z", - "iopub.status.idle": "2024-03-13T13:25:59.669915Z", - "shell.execute_reply": "2024-03-13T13:25:59.669521Z" + "iopub.execute_input": "2024-04-04T17:02:09.252793Z", + "iopub.status.busy": "2024-04-04T17:02:09.252623Z", + "iopub.status.idle": "2024-04-04T17:02:09.255532Z", + "shell.execute_reply": "2024-04-04T17:02:09.255083Z" } }, "outputs": [], @@ -32,10 +32,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:25:59.671518Z", - "iopub.status.busy": "2024-03-13T13:25:59.671374Z", - "iopub.status.idle": "2024-03-13T13:26:00.698664Z", - "shell.execute_reply": "2024-03-13T13:26:00.698097Z" + "iopub.execute_input": "2024-04-04T17:02:09.257451Z", + "iopub.status.busy": "2024-04-04T17:02:09.257163Z", + "iopub.status.idle": "2024-04-04T17:02:10.293933Z", + "shell.execute_reply": "2024-04-04T17:02:10.293381Z" } }, "outputs": [], @@ -64,10 +64,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:26:00.701093Z", - "iopub.status.busy": "2024-03-13T13:26:00.700771Z", - "iopub.status.idle": "2024-03-13T13:26:00.703550Z", - "shell.execute_reply": "2024-03-13T13:26:00.703149Z" + "iopub.execute_input": "2024-04-04T17:02:10.296375Z", + "iopub.status.busy": "2024-04-04T17:02:10.296070Z", + "iopub.status.idle": "2024-04-04T17:02:10.298809Z", + "shell.execute_reply": "2024-04-04T17:02:10.298343Z" } }, "outputs": [], @@ -82,10 +82,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:26:00.705249Z", - "iopub.status.busy": "2024-03-13T13:26:00.705091Z", - "iopub.status.idle": "2024-03-13T13:26:00.708193Z", - "shell.execute_reply": "2024-03-13T13:26:00.707797Z" + "iopub.execute_input": "2024-04-04T17:02:10.300571Z", + "iopub.status.busy": "2024-04-04T17:02:10.300272Z", + "iopub.status.idle": "2024-04-04T17:02:10.303320Z", + "shell.execute_reply": "2024-04-04T17:02:10.302920Z" } }, "outputs": [], @@ -102,10 +102,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:26:00.709945Z", - "iopub.status.busy": "2024-03-13T13:26:00.709772Z", - "iopub.status.idle": "2024-03-13T13:26:00.713140Z", - "shell.execute_reply": "2024-03-13T13:26:00.712738Z" + "iopub.execute_input": "2024-04-04T17:02:10.304971Z", + "iopub.status.busy": "2024-04-04T17:02:10.304817Z", + "iopub.status.idle": "2024-04-04T17:02:10.308249Z", + "shell.execute_reply": "2024-04-04T17:02:10.307753Z" } }, "outputs": [], @@ -123,10 +123,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:26:00.714954Z", - "iopub.status.busy": "2024-03-13T13:26:00.714638Z", - "iopub.status.idle": "2024-03-13T13:26:00.718452Z", - "shell.execute_reply": "2024-03-13T13:26:00.718073Z" + "iopub.execute_input": "2024-04-04T17:02:10.309973Z", + "iopub.status.busy": "2024-04-04T17:02:10.309691Z", + "iopub.status.idle": "2024-04-04T17:02:10.313551Z", + "shell.execute_reply": "2024-04-04T17:02:10.313163Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:26:00.720174Z", - "iopub.status.busy": "2024-03-13T13:26:00.719879Z", - "iopub.status.idle": "2024-03-13T13:26:00.723738Z", - "shell.execute_reply": "2024-03-13T13:26:00.723360Z" + "iopub.execute_input": "2024-04-04T17:02:10.315142Z", + "iopub.status.busy": "2024-04-04T17:02:10.314992Z", + "iopub.status.idle": "2024-04-04T17:02:10.318886Z", + "shell.execute_reply": "2024-04-04T17:02:10.318496Z" } }, "outputs": [], @@ -191,10 +191,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:26:00.725575Z", - "iopub.status.busy": "2024-03-13T13:26:00.725266Z", - "iopub.status.idle": "2024-03-13T13:30:03.599831Z", - "shell.execute_reply": "2024-03-13T13:30:03.599303Z" + "iopub.execute_input": "2024-04-04T17:02:10.320687Z", + "iopub.status.busy": "2024-04-04T17:02:10.320377Z", + "iopub.status.idle": "2024-04-04T17:06:11.926736Z", + "shell.execute_reply": "2024-04-04T17:06:11.926192Z" } }, "outputs": [ @@ -202,31 +202,31 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4072/2007768199.py:11: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/2007768199.py:11: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df.eval('Jpsi_eta = arctanh(Jpsi_PZ/Jpsi_P)', inplace=True)\n", - "/tmp/ipykernel_4072/2007768199.py:12: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/2007768199.py:12: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df.eval('mup_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)', inplace=True)\n", - "/tmp/ipykernel_4072/2007768199.py:13: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/2007768199.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " df.eval('mum_P = sqrt(mum_PX**2 + mum_PY**2 + mum_PZ**2)', inplace=True)\n", - "/tmp/ipykernel_4072/2007768199.py:15: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/2007768199.py:15: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n", " bkg_df['catagory'] = 0 # Use 0 for background\n", - "/tmp/ipykernel_4072/2007768199.py:19: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/2007768199.py:19: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -275,10 +275,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:03.602237Z", - "iopub.status.busy": "2024-03-13T13:30:03.602078Z", - "iopub.status.idle": "2024-03-13T13:30:05.015700Z", - "shell.execute_reply": "2024-03-13T13:30:05.015210Z" + "iopub.execute_input": "2024-04-04T17:06:11.929733Z", + "iopub.status.busy": "2024-04-04T17:06:11.929498Z", + "iopub.status.idle": "2024-04-04T17:06:13.366461Z", + "shell.execute_reply": "2024-04-04T17:06:13.365947Z" } }, "outputs": [ @@ -286,14 +286,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "XGBoost --- 0.8602309226989746 seconds ---\n" + "XGBoost --- 0.8762679100036621 seconds ---\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4072/3009250180.py:13: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/3009250180.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -332,10 +332,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:05.018919Z", - "iopub.status.busy": "2024-03-13T13:30:05.018132Z", - "iopub.status.idle": "2024-03-13T13:30:05.023455Z", - "shell.execute_reply": "2024-03-13T13:30:05.023112Z" + "iopub.execute_input": "2024-04-04T17:06:13.369181Z", + "iopub.status.busy": "2024-04-04T17:06:13.368966Z", + "iopub.status.idle": "2024-04-04T17:06:13.373860Z", + "shell.execute_reply": "2024-04-04T17:06:13.373473Z" } }, "outputs": [], @@ -378,10 +378,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:05.025444Z", - "iopub.status.busy": "2024-03-13T13:30:05.025280Z", - "iopub.status.idle": "2024-03-13T13:30:07.762643Z", - "shell.execute_reply": "2024-03-13T13:30:07.762159Z" + "iopub.execute_input": "2024-04-04T17:06:13.375855Z", + "iopub.status.busy": "2024-04-04T17:06:13.375507Z", + "iopub.status.idle": "2024-04-04T17:06:16.148852Z", + "shell.execute_reply": "2024-04-04T17:06:16.148273Z" } }, "outputs": [ @@ -391,7 +391,7 @@ "text": [ "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/sklearn.py:889: UserWarning: `eval_metric` in `fit` method is deprecated for better compatibility with scikit-learn, use `eval_metric` in constructor or`set_params` instead.\n", " warnings.warn(\n", - "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [13:30:05] WARNING: /workspace/src/learner.cc:742: \n", + "/usr/share/miniconda/envs/analysis-essentials/lib/python3.11/site-packages/xgboost/core.py:160: UserWarning: [17:06:13] WARNING: /workspace/src/learner.cc:742: \n", "Parameters: { \"n_threads\" } are not used.\n", "\n", " warnings.warn(smsg, UserWarning)\n" @@ -402,12 +402,12 @@ "output_type": "stream", "text": [ "\n", - "XGBoost cross-validation --- 2.013622999191284 seconds ---\n" + "XGBoost cross-validation --- 2.0343854427337646 seconds ---\n" ] }, { "data": { - "image/png": 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", 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", 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", 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", 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" ] @@ -429,7 +429,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4072/3553768138.py:13: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/3553768138.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -459,10 +459,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:07.765890Z", - "iopub.status.busy": "2024-03-13T13:30:07.764960Z", - "iopub.status.idle": "2024-03-13T13:30:09.089044Z", - "shell.execute_reply": "2024-03-13T13:30:09.088516Z" + "iopub.execute_input": "2024-04-04T17:06:16.152492Z", + "iopub.status.busy": "2024-04-04T17:06:16.151516Z", + "iopub.status.idle": "2024-04-04T17:06:17.496564Z", + "shell.execute_reply": "2024-04-04T17:06:17.495953Z" } }, "outputs": [ @@ -477,12 +477,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "bdt_cv : S/sqrt(S+B) = 15.169853456648152 at x = 0.8216172\n" + "bdt_cv : S/sqrt(S+B) = 15.251608197066982 at x = 0.79652405\n" ] }, { "data": { - "image/png": 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", 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", 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", 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", 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", + "image/png": 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", "text/plain": [ "
" ] @@ -542,10 +542,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:09.091091Z", - "iopub.status.busy": "2024-03-13T13:30:09.090918Z", - "iopub.status.idle": "2024-03-13T13:30:15.414533Z", - "shell.execute_reply": "2024-03-13T13:30:15.413944Z" + "iopub.execute_input": "2024-04-04T17:06:17.498692Z", + "iopub.status.busy": "2024-04-04T17:06:17.498488Z", + "iopub.status.idle": "2024-04-04T17:06:24.036745Z", + "shell.execute_reply": "2024-04-04T17:06:24.036117Z" } }, "outputs": [ @@ -554,7 +554,7 @@ "output_type": "stream", "text": [ "\n", - "XGBoost k-folding --- 2.7012295722961426 seconds ---\n" + "XGBoost k-folding --- 2.783881425857544 seconds ---\n" ] }, { @@ -604,10 +604,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:15.416725Z", - "iopub.status.busy": "2024-03-13T13:30:15.416542Z", - "iopub.status.idle": "2024-03-13T13:30:15.422439Z", - "shell.execute_reply": "2024-03-13T13:30:15.421969Z" + "iopub.execute_input": "2024-04-04T17:06:24.039425Z", + "iopub.status.busy": "2024-04-04T17:06:24.038957Z", + "iopub.status.idle": "2024-04-04T17:06:24.045149Z", + "shell.execute_reply": "2024-04-04T17:06:24.044611Z" } }, "outputs": [], @@ -667,10 +667,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:15.424093Z", - "iopub.status.busy": "2024-03-13T13:30:15.423932Z", - "iopub.status.idle": "2024-03-13T13:30:40.068727Z", - "shell.execute_reply": "2024-03-13T13:30:40.067992Z" + "iopub.execute_input": "2024-04-04T17:06:24.047347Z", + "iopub.status.busy": "2024-04-04T17:06:24.046934Z", + "iopub.status.idle": "2024-04-04T17:06:49.532242Z", + "shell.execute_reply": "2024-04-04T17:06:49.531692Z" } }, "outputs": [ @@ -679,7 +679,7 @@ "output_type": "stream", "text": [ "\n", - "XGBoost early-stop folding --- 16.215542316436768 seconds ---\n" + "XGBoost early-stop folding --- 16.710160970687866 seconds ---\n" ] }, { @@ -716,7 +716,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "XGBoost early-stop limit --- 6.309895038604736 seconds ---\n" + "XGBoost early-stop limit --- 6.652231931686401 seconds ---\n" ] }, { @@ -728,14 +728,14 @@ "Train Accuracy : 0.878406430077885\n", "Test Accuracy : 0.8180580234817411\n", "\n", - "modelfit(bdt_es) --- 23.138670206069946 seconds ---\n" + "modelfit(bdt_es) --- 23.992748975753784 seconds ---\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4072/41647419.py:18: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/41647419.py:18: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -777,10 +777,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:40.071281Z", - "iopub.status.busy": "2024-03-13T13:30:40.070965Z", - "iopub.status.idle": "2024-03-13T13:30:42.053378Z", - "shell.execute_reply": "2024-03-13T13:30:42.052863Z" + "iopub.execute_input": "2024-04-04T17:06:49.534901Z", + "iopub.status.busy": "2024-04-04T17:06:49.534543Z", + "iopub.status.idle": "2024-04-04T17:06:51.548415Z", + "shell.execute_reply": "2024-04-04T17:06:51.547733Z" } }, "outputs": [ @@ -788,7 +788,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "bdt_cv : S/sqrt(S+B) = 15.169853456648152 at x = 0.8216172\n" + "bdt_cv : S/sqrt(S+B) = 15.251608197066982 at x = 0.79652405\n" ] }, { @@ -800,7 +800,7 @@ }, { "data": { - "image/png": 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", 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", 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", + "image/png": 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", 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L95d0Bf6dZNj+NBMTLCIiKQkCcH47sLaOS817PQMMfBWwddZ/v4iMhVso4BQE3LgEFGeLi9/bOBm6VzpjgkVEJIXyEiDhV+DYN8DVf7SPTfkFCBwEmFsapGvUsjg4OGDMmDFwcHCQJd4kzDoOvNVOvL/nLWDMEoN2pzlYpkFCLNNA1ArlXQF+eQJIP67d3sYFmLCCGy+3MjUfqQqFQrLnrKisQmFJBdrZWkn2nEbhoxCgKFO8L/P2OXJ8fhvlCNbBgwfx4YcfIjY2FhkZGdi0aRPGjRunPj59+nR8//33Wuf07t0bf/31V4PPu2HDBsyfPx+XLl1CUFAQ3n33XTzwwAMNnkNErVTOBWD7v4Hk/drtfWcB0f8C7DwM0i2SXmFJOfaey8YLa+MBAF287XEmXdXs5xMqK1BVWoxH7glFZlEFVkzvCXMzTUJ29loBRi89XCveTGkLhbkFDvx7EPycbZv9+kbj4TXAN0PE++e2AqGjDdsfHRllglVcXIyIiAg8/vjjGD9+fJ0xI0aMwIoVK9SPrawazvyPHj2KSZMm4e2338YDDzyATZs2YeLEiTh8+DB69+4taf+JyIjlnAcOfACc2aBpU9oDYeOA0Ys5DWhkqqoEBL62rfHA29xNcgUAZTmXkfn9bPyoWgKlRwcENfL6NfEe08T4gR/uVx+zsjBDWUWVVvzgEFd8N72npKNoBuETpbm/drLRbQJtlAnWyJEjMXLkyAZjlEolPDya/hfkkiVLMGzYMMybNw8AMG/ePBw4cABLlizBTz/9dFf9JSIjV1kBnFon7hFYeE372IPLgfAJgLF/mLUChSXlCF+wU/bX8bC3RqaqRPbXAVAruQKAfedzEDCvdtLWP9gF/3ssCm2sjOijv/9LmqKjl/YBQYMN2x8dGNG/sm72798PNzc3ODo6YuDAgXj33Xfh5uZWb/zRo0cxZ84crbbhw4djyZIl9Z5TWlqK0lLNvmEq1d39VUNELUz5LSB+NbD1RU2bwgzoOBLo9RQQNMRwfaNGVVRWIXT+DlRUNX+pcbi3A2bfG4y+Qc6SJSYnTpxA1PfAF1MiYekehFlr4rSOj43wwqcPd1OPQNXEb32+Pzp0DkfXZiaJh5Jy0fk/fwAAtszqB992bVr+uq4hb2gSrB/HGdUolkkmWCNHjsSECRPg5+eHlJQUzJ8/H0OGDEFsbCyUSmWd52RmZsLd3V2rzd3dHZmZmfW+zqJFi7Bw4UJJ+05ELUBFGbDzDXEa8Gau2Ka0F9eADH4NcGxv2P6R2tW8m1i88wI2xjWvyvlT9wRg9rCOaKvU/8ehn7MtIrt64b6uXk0+x97aEpff16xFOpNegF0JWZgzrKO67cCFHEz77p+6Tlcb+/mftdp8nWxw6OUW9keDQiHuyXnud/HxrTzApp1h+9REJplgTZo0SX2/S5cu6NGjB/z8/LB161Y8+OCD9Z5353y1IAgNzmHPmzcPc+fOVT9WqVTw9fW9i54TkUGV3xIrrv/9PyAvRWyzdQMiJolb2Vjz6mBDu15Uik92X8Cqv1J1PndMhBc+nhABKwvT2Yqoi7cDunhrl28Y2NFVKwkDxM+zXQlZeObH2HqfK+3GLfi/uhV7XxyIQNe2svS3WR5eDSyo/h7XTgEe123NnKGYZIJ1J09PT/j5+SEpqf5qsB4eHrVGq7Kzs2uNat1OqVTWOyJGREakRCXWrzryGXDrhthmrgSGvwtEPQ6Yt4pflS1OYoYKIz891Ozzx0f64KXhHeHp0LK2WomIiEBBQQFsbZt2JaCu8XVRKBSICfPA5fdHo6S8ErsSsvCvn+LqjB3y8QEAwMrHe2JQSP1LawyiQj9r26TQKn5rXL9+HWlpafD09Kw3pm/fvti1a5fWOqydO3ciOjpaH10kIkMoLQJ+ngpcOQJU3BLb2jiL04BdJwFKO8P2z8RVVQl45sfjSM4pRnJucbOe47nBQfjXkGBYW5pL3Dv5mJub61RrSdf4xlhbmmNMhBfGRGimJotKK9DlzT+04qavOKb1OGXRKMNdmTjzL+CLPkB6LFCYaRRlUIwywSoqKsLFixfVj1NSUhAfHw8nJyc4OTlhwYIFGD9+PDw9PXH58mW89tprcHFx0appNXXqVHh7e2PRokUAgBdeeAEDBgzABx98gPvvvx+//vordu/ejcOHD9d6fSIycqVFwInvgaNfAKqrYptzMDDg30D4Q4CZ8XxYG5OyiiqcupqPh7462uzn+GRSBEaFe0JpYbzvUVJSEmbNmoXPP/8cwcHBksc3R1ulBS6/PxrZhSXo9e6eOmMC5m3DhXdGGmaK1TVUc3/5EGBugv77oCOjTLCOHz+OwYM1l2rWrIOaNm0avvzyS5w+fRo//PAD8vPz4enpicGDB2PdunWws9P8NZqamgozM81/kujoaKxduxZvvPEG5s+fj6CgIKxbt441sIhMSUkBsP0V4MIfmqlAABj7OdBtMhMrCVVVCbhxsww93tndrPMXjg1DdJAzOri1Nf56TncoLCzEzp07UVhYKEv83XCzs8bl90fjelEpoup47zq+sR075wxAR3c9j+7e/n9A1bwLGvSNW+VIiFvlELVQN1LEqcDMU5o2pyCg70yg2xTAsmWt0TFGlVUCvth3ER/vuqDTeX+/NhTu9tYy9aplOnHiBKKiohAbG4vIyEjJ4+Xg/+rWWm16XwyffQ74onrQY04C4OAt2VNzqxwiIl3kJgGrxgP5V7Tb+84C7l3IxevNVFUlYOWRy/hi/yXkFpU2fkK1gR1d8db9Ya1jmxcTc/n90bWSrJrF8Hpbm+V22zThln8Bj22U/zXvAn+7EJHpufCHeEXg5duuQHMNBUYsAgIGAWamc5m+Pi0/mIx3tyU2KdbSXIHtL/RHkKvpTfG1VpffH41zmSqMWKJ9ZWfAvG1Ifm8UzMz08D779gbS/gYu1b1OrCVhgkVEpkEQgOR9wKHF2omVVVtg+u+AV3fD9c1ICYKAv1Nu4OGv/2o0dnLv9nh5eAgc27TwyuAtgK+vLz7//PMm103UNV5OoR72uPz+aJy+WoAxn2suAgt8bRuWTY7E6K71X60vieHvAd8MFe+XFQNWLXc0lGuwJMQ1WEQGIAhAykFg/yIg9bar0xz9gAe/Btr3MVzfjNCdH5z1ObUgBvbW3Ni6Natro+xtz/dHZy+ZP/9qio6OeB/o83+SPKUcn99MsCTEBItIjwQBSNoFHPwQuFq9LYiFDdD9UaDf89zOpokqqwS8sfkMfvqn4croVhZm+GP2AAS4tNwRA2Nx48YNbNu2DaNGjYKTk5Pk8fp259qs3/91T63q8pJacNtzS7Q3IROsFo4JFpEeVFWJ+5Id/FBzVaC5EoiaBvR7AXDwMWz/jEBxaQU+2XUB3xxOaTDOzU6JHbMHwKmlbwhsZIzxKsLGPLfmBLaeylA/Xj+jL3r6y5QMnt8O/PSweH/OWUl+5nkVIRG1XhVlwKl1wNHPgZxzYpulLdDzCfGqQCOo7GxoqddvYsCH++o9Hh3kjFdGhCLC11F/nSKTsGxyJLae0oxkTfjqKC69Nwrmcix8Dxmpub/rTeChb6V/DQkwwSKilq34urhP4PHvgKLq/UKV9kDvZ4He/wfYOhu2fy1cVZWA97Yl1jtaZWGmQOz8YXCw4XoqujuX3x+N2WvjsDn+GgAg6LVttTadloxTIHAjGTjzCxMsIiKdFOUARz4Fjn0LlN8U29p6iItao6YDNo6G7F2L19CWJx3c2mLXnAEsn0CSW/Jwd3WCBYjrs2RJsoa/p5kmzDkPuIZI/xp3iQkWEbUshVnAkaViYlWzAbNHOBD9PNB5HGDB9UB1EQQB+8/n4Lk1J3CzrLLOmMEhrvjy0Sij2hjZFNna2qJPnz6wtW3aBQO6xhvanUVJZUmybp8mvLi7RSZYXOQuIS5yJ7oLhZnAn5+KU4EVJWKbdxQw8FUgeJj2XmQEQEyqtpy8hrk/n0RlVd2/ykeEeeDDCV1hx5IKpEc5haXo+a5mL0MnWyucmD9M2hc5vATY/SYQMhp4ZM1dPRUXuROR6VFdE39Rxq4EKqu3XfHpKSZWHYYysbpNVZWAT/ck4cCFHMSn5TcY+9WjURjRhQv/yTBc7ZRIWTQKAfPEOlk3issw5OP92PviIOlexP8e8ev5rUBVZYvbrJ0JFhEZxo0UYNtL4vB+Dd8+wKBXgMDBTKyqlZRXYvbaeOw4m9lgXJCrLb6e2gNB+tx8l5rFFMs01EWhUODMwuHo8uYfAIDknGL4v7oVX06JxMhwCSq+e0Zo7l891uKKCjPBIiL9EQSx2vqfS4ELOwBUT2u1jxYTq4CBTKwA7DuXjSV7knCygVGqtkoLvDIyFA9090ZbJX+VU8vUVmmBk/+JQcRbO9Vt/7f6hDR7F5pbAu0CgLwU4Fo8EywiaoVKVMDJtWIdq/TjmnYLa+DhNUDQkFadWBWXVuDt3xOgKinHttP1j1Q9NzgIzw3ugDZW/NVNxsOhjSUuvDMSHd/Yrm4LfE2iDaIjHwP2vCWOhPeZcZc9lRZ/SolIPqprwF9fAsdXAGWFmvbO48TioL49DdY1QxMEAQeTcjFzVSyK67nqDwCeGRCIfw8PgaW5mR57RyQtKwuzWlcXBkpRJ8u3etTq4i6gohSwUN7d80mICRYRSe/KUeCf/wGJvwNV5WKbS0exflWX8a226rogCFi0/Ry+Pphc5/GO7m3RN9AZs+/tiHbcnoZM0KX3RiHotg2iwxf8gdMLhjf/CX17ae5f+APoPPYueictJlhEJI2a9VWHlwBJf2ja/e4RN1/uMAwwa52jMElZhfjwj/PYmZBV61i4twO6t3fEa6M6sT5VK9G5c2ckJSXBx6dpe+jpGt+SmZspEPvGvYh6R7y4pbCkAj8fS8PEnr7NfMLbyo9seBLonCNBL6XBOlgSYh0sapUEQfzL8fBiIO1vTbtbGDB2KeDTw3B9M6C84jLM+ukE/rx4vc7jD/f0xfz7OsOWC9SpFSqtqETIGzvUjz+f3B33dfVq3pPteQs49LF4f0FBs55Cjs/v1vnnJBHdvcoKIH4NsNAR+GmSmFyZW4nTgP86Acw80uqSq8KScvz0Tyr8X92K7m/v0kquInwcsGBMZ5xeEIPL74/G++O7MrlqpVJSUvDoo48iJaXu/SHvNt4YKC3MMT5SMyI3a00cVCXlzXuynk9r7qsy7rJn0uEIloQ4gkWtQnkJEL8K2Pqidnu/F4A+M1vd+ipBELDjTCa++zMFxy7n1RmzZVY/dPVx1G/HqMVqLXWwmuKxb//GoaRc9eNmL3pf4CB+7TMTGLFI59NZyZ2IDKcwEzj2DXD4E6CqQtMePBwYvxywdjBc3wwgs6AEq/++gs/2XtRqVyiACB9H/GtIBwwJdeOGykQN+PHJ3pi15gR+PyWOPJ2+WoBwn2b8LrF1A4qzAUXLmZhjgkVEDctPA45+Lm6+XHNFoNIeiJwKDJoHKFtP5fDKKgErj1zG278n1Hn8w4e6YkKPZi7WJWqllj7cXZ1gjfn8cPNGsYa8Dvz2ApBxUuLeNR8TLCKqraoKSN4r1q8697um3be3mFh1naR99Y4JyywowdpjqViyO6nWMWdbKzwU5YNnBgTCuW3Lqb9DZEzMzBSYHu2PlUcuAwCyVCVwt7fW7Um8q9d7XotrMfsSMsEiIo3yW0Ds98BfXwD5VzTt/v2B/i8CQYMN1zc9Kquowgc7zuHbw3UvKvZ0sMY747pgaCd3PfeMTIGnpyfefPNNeHo2bT8+XeON0X/u66xOsHq/t0f3USy3TuLXsiIg8xTg1V3aDjYDF7lLiIvcyWiV3QRiVwJ/LgGKqms1KR2AiIeBqGmAe5ghe6cXVVUCknOLsHjXhXq3q+kb6IwvH42EYxsWASWS2od/nMOyfZcAAD8+2Qv9g111e4Kahe4ho4BHftLpVC5yJyJp3coD/vkG+PtL4GZ1SQEHX+CeOUDEI4BVG8P2T2aCIOBSTjGW7L6gXgNyp51zBqCju52ee0amTKVS4ejRo+jbt2+TPsx1jTdWLw4LUSdYj337j+6jWB1HiJvIl9+SoXe6Y4JF1BrlXAB2vAJc2qtpc2wP3DMX6DYFsDDtEZpzmSpsib+G309lIPXGTa1jbZUWePeBLhge5sHK6iSLixcvYsSIEU0uu6BrvLEyM1Ng+dQeePoHcUP4j/44j5eGhzT9CXo/KyZYeS2jXhgTLKLWQhCA1L+AQx+JO8/XcO0krq8KewAwN91fCfk3y7B41wXEpebjdLqm2rOFmQIubZV4tE97PDswiJsqExnQsM6adY2f77uoW4LlHSV+zbsMFOcCti7Sdk5HpvvblIhEVVVAygHg4IfAlT817ZZtgEmrgKAhYvEmE1RVJeDDneex71w2knOKUVZZpT52TwcXTOrpi6Gd3NDGir8KiVqK1U/1xpRvxG23LmQVNn2K/vZafMe+AQa9KkPvmo6/VYhMVfkt4NQ64OgXQO55sc1cCURMAvrNBpyDDNo9OWWrSrA+9ip+OHoZWapSdbuFmQKvjeqE4V084O1oY8AeElF9+nXQjDzFfHKweXWxLu5mgkVEEivKEf96O/YNcLN6CworO/GKwHvmAA7ehu2fTEorKvHp7iTsSsjCxZwi3H599JTe7TG5d3uEebWuavPUMimVSgQFBUGpbFrtNF3jTcGT9wSoy6RczC5EB7cmjmI9uBzY+DRw9ZiMvWsalmmQEMs0kEFlnwP+WgacXAdUVo/aOLQH+swAuj8GWJvm/8nEDBW+P3IZuxKycL24TN0e6mGH6dH+GNfdm4vViYyQ/6tb1febPIqVcwFY1lO8/9JFoG3TSj2wTAMRaRMEIHm/uJXN7QvXvaOAvrOATmNNcuH6pZwiHLmYi/WxV3HqaoHWscf6+GF6P38EubaeLXyITNF/7uuMt6q3pYq9kocov3aNn+TcQXM/+yzQdpA8nWsC0/vNS9QaVJQCZzYAR5cBWWeqGxVAp/vExMq3t8ktXE+7cRM7E7Kw5eQ1nEzL1zrWJ9AJ06MDMLSTG68CpBbv1KlTGDp0KPbs2YOuXbtKHm8qnrgnQJ1gjf/ySNNGsczMgM73Awm/AhmngMBB8nayAUywiIzJzRvA8e+Af5YDRdXVxi1tge6PilOBToGG7Z8M9p3LxuMrtddTmJsp4OfUBpN6+uKhKB/uA0hGpaKiArm5uaioqJAl3pR09XFQj1I3eY9Cz4jqBCte3s41wij/1Dt48CDGjBkDLy8vKBQKbN68WX2svLwcr7zyCsLDw2FrawsvLy9MnToV165da/A5V65cCYVCUetWUlIi83dD1ATXLwFbXwQWdwb2vi0mV3aewL0LgLlngVH/Nank6lr+LXy6OwljPjtcK7maf19n/DVvKPa+NAjPDgxickVkwn59rp/6/qsbTjXtJM9u4teMk9J3SAdGOYJVXFyMiIgIPP744xg/frzWsZs3b+LEiROYP38+IiIikJeXh9mzZ2Ps2LE4fvx4g89rb2+P8+fPa7VZW+u4ozeRVAQBuHJEXF91fjuA6utRPMKBvv8SC4OaUMX1qioBRy5dx6q/ruCPhEytqwDbtbHEwvu7YGyEl+E6SER6p1Ao8EB3b2yKS8e+8zkor6xqfBmAZ4T49fpFoERlsAt8jDLBGjlyJEaOHFnnMQcHB+zatUur7bPPPkOvXr2QmpqK9u3b1/u8CoUCHh4ekvaVSGdlxcDp9cDxFdpD3B1HiOur/O8xqfVV1/Jv4ZfYq/j5eBqu5mn2EOvl74QHI71xT7ALfNqZ9p6IRFS/N8d0xqa4dADAxP8dxaaZ/Ro+wdYFsPcBVFeBzNOAfyPxMjHKBEtXBQUFUCgUcHR0bDCuqKgIfn5+qKysRLdu3fD222+je/fu9caXlpaitFRTxFClUknVZWqNss8Bx78FTq4FSqv/L1lYi5su930OcAk2bP8kVFZRhT2JWVh3PA0HL+Sgqnq0ys7aAuO6eWNKn/YI9TDNshJEHTt2xJEjR9CxY0dZ4k2NYxvNSH1caj4EQYCisT8yvbqJCVZGPBMsuZSUlODVV1/F5MmTG6xtERoaipUrVyI8PBwqlQqffvop+vXrh5MnTyI4uO4PtkWLFmHhwoVydZ1ag4oyIHGLuHD99m1snAKBqMfFjZdtnQ3XP4klZRVi3bE0bIpL16pZ1SfQCZN6+mJkF0/WrCKT17ZtW/Tt21e2eFO05qnemFy9fc5rm85g0YPhDZ/gGQGc+92g67CMvtCoQqHApk2bMG7cuFrHysvLMWHCBKSmpmL//v06FQ+rqqpCZGQkBgwYgKVLl9YZU9cIlq+vLwuNUuPyU4HYlcCJH4DiHLFNYQaEjAJ6PgkEDBIvNzYBxaUV+P3UNaw7loYTqfnqdjc7JR6K8sHEHr7wd7E1XAeJ9Ozq1atYvHgx5s6dCx8fH8njTdXthUdTFo1qeBTrwh/AmomASwgw659Gn5uFRnVQXl6OiRMnIiUlBXv37tX5H8zMzAw9e/ZEUlJSvTFKpbJVbV1Ad6mqEri4R5wGTNoJCNUbD7f1AKKmAZHTTGYbG0EQ8OfF6/jfwUuIvZKHm2WVAMTyCkNC3TCphy8GhbjCgjWrqBXKzs7GJ598gkcffbRJCZOu8abqyymR+L/VJwAAv53KaPiil5orCXMvAKVFgFL/hYdNMsGqSa6SkpKwb98+ODvrPsUiCALi4+MRHt7IMCRRYwquAid+BOLXAAWpmvaAgeJoVcgowNzScP2TUHJOEX6Nv4b1x9NwrUBT4iTAxRYTe/hifKQ33JpSx4aI6A4jwz3V95//Ka7hBMvOHbDzAgqvAZmnAL9oPfRQm1EmWEVFRbh48aL6cUpKCuLj4+Hk5AQvLy889NBDOHHiBH7//XdUVlYiM1MsyOjk5AQrK3Gx3NSpU+Ht7Y1FixYBABYuXIg+ffogODgYKpUKS5cuRXx8PJYtW6b/b5CMX1UlkLQLiF2hPVpl7Siuq+rxuMksWi8qrcCmE1ex9lgazl7TvtBjdFdPTO3jh14BTo0vSiUiakRke0f1UoPi0grYKhtIY7y6AeeviRXdmWA1zfHjxzF48GD147lz5wIApk2bhgULFmDLli0AgG7dummdt2/fPgwaNAgAkJqaCrPb1rjk5+fjmWeeQWZmJhwcHNC9e3ccPHgQvXr1kvebIdOiuiaOVp34QbyCpYZ/f3EKMHQ0YGUaJQdOXc3Hqr+u4Ofjmu/T3EyB6CBnjI/0wYguHlywTkSS+mVGNAJf2wYA2JWQhXHdG1hW4RoCnN8mThMagFEmWIMGDUJDa/Obsm5///79Wo8/+eQTfPLJJ3fbNWqNqiqBS3vFulUXdgCCuN4INu3E0aqo6SYzWlVYUo5Ncen45lAKUm/cVLcHuNhial8/jI3wYmV1oka4uLhg5syZcHFxkSXelJmZKfDC0GB8uicJv8anN5xgOVf/3k1rfJG7HIz+KsKWRI6rEKgFK8wE4n4EYn/QXlvVPlqcAuw0FrA0/vVGgiAgLi0f6/5Jw2+nrqkXrANATGd3TO3rj34dnDkFSER6cSmnCEM/PgBzMwX+eW1o/X/UXdwNrKre7WVBQYPPyasIiQytqgpI3ieurTq/Haiq3nzV2gGImCyOVrmFGrSLUsktKsXvJ6/hx7+u4FJOsbo9yNUWAzq6YtbgDhytImqGmzdv4ty5cwgNDUWbNo0vGdA13tQFubZFuLcDTqcX4Kd/UjFrSD0zBF6RmvvF1/VeU5AJFlFTFGUDcauAE98DeZc17b69xYKgYeMASxtD9U4yZRVV2HsuC2uPaVdYt7Y0w+hwLzzcyxc9/NpxtIroLpw7dw5RUVGIjY1FZGSk5PGtQXQHZ5xOL8BHOy9g5qAOMDOr43dSGyfAsb1YdzA7AQjor9c+MsEiqk9VFXD5oLi26tzvmtEqpQMQMUlMrNw7G7aPErmYXYgnVh7XWlcFAF287TGxhy8e6O4NO2vTKCVBRMZvSi8//O9AMgDg0MVcDOzoWnegW1h1gpXIBIvI4G6kAAmbxSsBbyRr2r17iGurwh40iSsBKyqrsO98Dlb/fQX7z+eo213tlHiwuzce7tUeAaywTkQtUHtnze/gad/9g8vvj6470K0TcGG7OIKlZ0ywiADgVh5w7Bvgn+VAUZam3cquerRqOuBhGkVn82+WYfXfqVj11xVk3FYMFABeGRGKp/sHsMI6EbV4/YNdcCgpt+Egt+pZBiZYRHpUWSEuWI9fDST+DlSVi+0KM8D/HiB8AtBlPGBl/KM4VVUC/kq+jve2J+JMuqYYqJOtFSZE+eCRXu25HyCRnpiZmcHOzk6rFqOU8a3FogfDcc8H+wAAecVlaGdrVTuoZhlH2t+AIAB6XD/KBItan+xzwMk1wMl1QFGm9rFhbwNdJ4nbLJiAtBs38Wt8OjacSEdKruZKwE6e9njqngDcF+EJpQWLgRLpU7du3aBSqRoPbGZ8a+HTTjNN+MnuC3jr/i61g5xvu8Iw94JYfFRPmGBR61B2Ezi7CYhdCVy9reicjRPQdSLQbTLg0VWvf93IJbuwBLsSsvDd4RSt8gq2VuawMDfDssmRrFtFRCalvLKq7gMWt41q3UhhgkUkCUEArh4XR6uOf6dpN7MAOgwDuk8Bgodr/wAaqZLySuxOzMIvsVe1yisAQL8Ozri/mzdGh3s2vG8XEelFQkICJkyYgPXr16Nz58avRNY1vjX57JHu+NdPcYir3p+wTqH3iVeC337Rkh7wty2ZnoKrwMm14u16kqbdsb24WL3boyYxBSgIAk6nF2D98avYcvIaCm6Vq49F+Doi1N0Oz98bDG9H46/PRWRKSkpKkJCQgJKSksaDmxHfmkQHicVDz2UWIruwBG52deye4dZJTLByEvXaNyZYZBrKioFzW8UF68n7Ne2WbcQNlkNHA53uB0xgkaiqpBw7Tmfi5Q2ntNo9HawxPtIH46N8WF6BiFoF57ZKdPG2x5l0FQ4n5eLBSJ/aQa7Vu2tkn9Nr35hgkfGqqgSuHBFHqhI2A2VFmmP+/YGIR4DOYwGlncG6KJWS8krsPZeNLfHXsPd8NsoqNOsNxkR4YUKUD/p1cIF5XdWMiYhM2IBgV5xJV2HuzyfrTrDcOolfM0/r9UpCJlhkfLISgFNrgVPrgcJrmvZ2/mJS1XUS4BRgsO5JRRAExF7Jw4YTV/H7yQwUllaoj3k5WCPC1xFvj+sCF+4HSEStWLB7W/X94tKK2mtNnTuIXytuieuwnIP00i8mWGQcVNeA078Ap34Gsk5r2q0dgE5jxasA2/c1iasA0/NvYWPsVWyM0y6t4O1og/siPDE2wgudPe15FSCRkQoMDMSvv/6KwMBAWeJbm/sjvDFn3UkAwOn0AvQJvGNTZ4vb/gjNv8IEiwi38oG4H4GkXUDKQQDVl8aZWQLBMUDEw0DH4do/PEbq9qsAD1zIgVD9rbaxMseocE+Mj/RB7wCnujc0JSKj4ujoiLFjx8oW39qYmSkwsosHtp/JRFxqfu0ECwD8+gFX/gSKr+utX0ywqGWprABSDgAnfwIStgCVpZpj7fuKNas6jxN3STdylVUCDl/Mxe8nr2H7mUwU3TYF2CfQCQ9F+WJkFw+WViAyMZmZmVixYgUef/xxeHh4SB7fGnXzdcT2M5n4YMc5/N+gOkaoHNuLCVZBqt76xN/cZHiCAGScFKf/zvyivRdgWw+g11PitjXt/A3WRakIgoCz11TYeTYTG06kIz3/lvqYTzsbjI3wwoQevrwKkMiEXbt2Da+99hqGDx/epIRJ1/jWyNVOM5NRUl4Ja8s7dqhwqF78np+mtz4xwSLDUV0Tk6qTa7Xrk9g4AV0eBLpNAby6m8S6qks5Rfg1/hp+O3lNa12Vg40lxkR4YmyEN3r4teMUIBFRM4wK98Tcn8V1WMcu30D/YFftAAdf8WsBEywyVWU3gcTfxOrqyQegXldlrgRCRopTgB2GmUR19SvXi/H7qQx8+Md5rXZrSzMM7OiKUeGeGB7mUfsvLSIi0sntv0df3XAaf746RDvAsTrB4ggWmRRBANJjxXVVp9YDpQWaY+2jgYhJ4roqG0dD9VAy2aoSbDl5De9s1a4YbG6mwIBgF4zt5oWYzlxXRUQktfu7eeHX+GvILSqtfdChvfi1IE1vtbD4W57kcyO5egrwJyDvsqbdsb24XU3EJJNYV5VbVIpVf13B7sQsJFxTqfcBVCgAl7ZKPDsgEA9094Yz61UREcSrAh966CE4OjrKEt9aTerhi1/jr6G0ogqCIGiXsqlZg1V+E7h5A7Ct40pDiTHBImmVqMSq6vFrgNSjmnZLWyB0FND9UcB/gNFvWXM17yZ2nMnE9jOZiL2Sp3XMzU6JoZ3cMWdYcN37YhFRqxYYGIj169fLFt9aRfg6qu8n5xYjyFVTgBSW1oCtG1CcLV5JyASLjEJVFXD5kJhUJW4R/0IAAIUZEDgI6Pow0Ok+wMq4r4y7cr0Y289kYvvpDJy8WlDr+L+Hh2BMVy+0d25jgN4RkbEoKytDdnY23NzcYGXV+HpTXeNbK1ulBXr4tcPxK3mIS83XTrAAcR1Wcba4Dsuru+z9YYJFzXf9kjj9d3Kt9pUZLh3FLWsiHgbsvQzXPwlcyinC9tMZ2HY6EwkZKnW7QgH08nfCqHBPDOvsDi9HGwP2koiMyZkzZxAVFYXY2FhERkZKHt+a1cwKvrT+JB6KumNfQgdfcT2wnq4kZIJFuqlvClDpAISPF0sreEcZbWkFQRBwIasI205nYMeZTJzPKlQfMzdToE+gE0Z28URMmDun/4iIWpghoe44dllctlFVJWiXvnGsXuiupysJmWBR46qqgMsHxaQqYYu4YSYgTgEGDRH3AQwZLc5xGyFBEJCQocL205nYdiYDyTmaOlUWZgr06+CCUeEeGNbZA062HJ4nImqppvb1wwc7zgEAknOL0MHNTnPQ8bYrCfWACRbVr6EpwG6Tga6TjHYKUBAEnLpaIK6pOpOBK9dvqo9ZmZthQEcXjOziiXs7ucOhjaUBe0pERE1lq7RAVx8HnLpagNPpBdoJVk2x0Xz9bJfDBIu0lRUDCb8CJ34wuSnAqioBcWn52H46A9vPZGptU6O0MMPgEDeMDPfAkFA32FkzqSIiMkYONuLv7znrTuKB7retw3LUbzV3JlgkyjgFxK4QC4GWadYdocO9Rj0FWFkl4PjlG9h+JhM7zmQiU1WiPtbGyhyDQ90wqosnBoW4svgnEelFt27dUFJSAkvLpv0hp2t8a+fvbItDSbm1D9SMYN3KA0oLAaVd7RgJ8ROlNSu7CZzdBBz/Dkg/rmlv5y/WqwqfCLTzM1j3mquisgr/pNzAtjMZ2HEmS6uqb1ulBe7t5IaR4Z4Y2NGV29QQkd6ZmZlBqWx64WFd41u72fcG48e/rgAAikor0Lbmj2dre01QykEgdLSs/WCC1RrlXBCTqpNrgJLqek5mlmKtqqjHAf/+RlcI9GZZBfafz8HuxCzsP5+DG8Vl6mP21hYY1tkDo8I9cE+wC5QWTKqIyHAuXLiAZ555Bl9//TU6duwoeXxrd/uuGbsSMrWnCWuUFsneDyZYrUVFGXDudzGxunxI0+7YXkyquj8KtHUzXP+aoeBmOfZfyMaOM5nYdz4bJeVV6mPt2lhieJgHRoZ7om+gM6wsjCthJCLTVVRUhAMHDqCoqGkf8rrGk0atdVid7xfXGZfULhYtNSZYpk51DTj2rbhovThbbFOYAR1HAD2eFMssGNFo1dW8m/jjbBZ2JWTi2OU8VNZs/AfAz7kNYjq7Y3CoG3r5O8HC3Hi+LyIikk4Xb3ucSVchsr2j9gHb6oGEoizZ+8AEy1SlnwD++kJcY1VVIba19QAipwJR0zQbX7ZwgiDgXGYhdidk4Y+ETJxJV2kdD3Zri3s7u2N0uCfCvOy1N/ckIqJW6cVhIXh85TEUllRoH2jrLn5lgkU6qaoCzm8DjnwGpP2lafe7B+j9DBAyCjBv+VehlFdW4VjKDew5l41dCVlIvaGpUWWmAHr6OyEmzAPDOrlz3z8iIqqls5e4oP1SThFKyis1FzTVLIUpypa9D0aZYB08eBAffvghYmNjkZGRgU2bNmHcuHHq44IgYOHChfj666+Rl5eH3r17Y9myZQgLC2vweTds2ID58+fj0qVLCAoKwrvvvosHHnhA5u9GAuW3gH3vivPKNQXUzCyBLuOBPv8HeHUzaPeaorCkHPvP52BXQhb2nc/W+qvD2tIM0UEuGB7mjns7uWstYCQiMjbt27fH8uXL0b59e1niCXCzU8LJ1go3istwIasQXX0cxQM1I1jFTLDqVFxcjIiICDz++OMYP358reP//e9/sXjxYqxcuRIdO3bEO++8g2HDhuH8+fOws6u77sXRo0cxadIkvP3223jggQewadMmTJw4EYcPH0bv3r3l/paapyhHrF319/+Am9U1P6wdgJ5PAb2eAew8DNu/RmSpSrArIQs7E7Jw9FIuyis166mcba0wONQN93ZyQ/9g1qgiItPh4uKCp556SrZ4AhQKBQJcbHGjuAx/Xrx+W4LlKn7VwwiWQhAEofGwlkuhUGiNYAmCAC8vL8yePRuvvPIKAKC0tBTu7u744IMP8Oyzz9b5PJMmTYJKpcL27dvVbSNGjEC7du3w008/NakvKpUKDg4OKCgogL29feMnNNeNZODPT8W9ASs15QgwfBEQ+ZjsxdOaSxAEXMwuws7qpOpkWr7W8UAXWwwLc0dMZ3d0820HczOupyIi05Obm4vNmzdj3LhxcHFxkTyeRP6vblXfv/x+dc2rgqvAJ2HiLM8b2eqLvOT4/Da5YYGUlBRkZmYiJiZG3aZUKjFw4EAcOXKk3gTr6NGjmDNnjlbb8OHDsWTJknpfq7S0FKWlmiKWKpWq3lhJZJ0FDi0Gzm4EhOqSBF6RQN/nxEtPW+D6qsoqASdS88SRqrOZuHzbnn8A0L29I2I6e2BYZ3d0cGtroF4SEelPamoqnn76aURGRjYpYdI1nkRjI7yw5eQ17Ubb6hGsqnKgJB9o4yTb65tcgpWZmQkAcHd312p3d3fHlStXGjyvrnNqnq8uixYtwsKFC++it02UmwTsfQdI2Kxp6zAM6D8X8IuW//V1VFJeicNJudiZkIk9idm4flvRTytzM/Tr4IxhnT1wbyc3uNkb3/Y7RETU8r0UE4ItJ6/BysIMFZVVYukeCyVg007cLqco27gSLHNzc1RWVqq/Gsqdl+sLgtDoJfy6njNv3jzMnTtX/VilUsHX17cZva1Hfhpw4H1xKlCoAqAQR6r6zwU8I6R7HQnkFZdh77ls7EzIxMELubhVrnnv7a0tMCTUDTFhHhjQ0VWzbQEREZFMfNrZoI2VOW6WVeLy9WJ0cKtePmPrVp1gZQFuobK9vmyfdIZa2uXhIS7szszMhKenp7o9Ozu71gjVnefdOVrV2DlKpVKe/aFKCoAD/wX++VqzxipkFDDkDcC94Ssh9Sk9/xZ2ns3EzrNZ+OfyDa2in14O1mIphc7u6BXgBEsW/SQiIj0yM1Ogo7sd4tPycS6zUJNgtXUDcs/LvtDd5IYSAgIC4OHhgV27dqF79+4AgLKyMhw4cAAffPBBvef17dsXu3bt0lqHtXPnTkRH63EKrqpK3B9w9wKgOEds8+8PDP0P4NtLf/2oR03Rz51ns7AzIRNnr2mvOQv1sENMmAdiOruz6CcRUT3atm2LgQMHom3bpq071TWeNEI9xATrfGYh7uta3ainYqN6SbBKS0slHekpKirCxYsX1Y9TUlIQHx8PJycntG/fHrNnz8Z7772H4OBgBAcH47333kObNm0wefJk9TlTp06Ft7c3Fi1aBAB44YUXMGDAAHzwwQe4//778euvv2L37t04fPiwZP1uUOYZ4LcXgPTj4mPnYGDE+0CHoYABE5WqKgFxafn442wm/jibiSu3LVJXKICefk6ICXNHTGcPFv0kImqCjh07Yv/+/bLFk0aIhzhqdS6zUNOop1pYsidYs2fPxtdff41OnTph/fr1WLJkCbKzszF06FA8/fTTzXrO48ePY/DgwerHNeugpk2bhpUrV+Lll1/GrVu3MHPmTHWh0Z07d2rVwEpNTYXZbXvwRUdHY+3atXjjjTcwf/58BAUFYd26dfLXwCq7Cfz2vGZLG6u2wMBXgN4zAAsreV+7HiXllThyKRe7ErKwOzEbOYWaKyWtLMwwINgFMWEeGBLqBhcW/SQi0klVVRXKy8thaWmp9TkkVTxp1CRY57USLP3UwpK8Dtadi9wDAwNx5swZnDhxAhMmTMDMmTMRFhaGtWvXolOnTvq5Ck9PdK6jkXUW+OUJIOec+Dj0PmDUR4C9Z8PnyeBmWQX2ncvB9jMZ2HcuG8VlmkXqdkoLDA51w4guHhjYkUU/iYjuxokTJxAVFYXY2FhERkZKHk8aN4rLEPn2LgBAwlvD0cbKQrxwbPP/AUFDgMc2ATDSOlgODg5o06YN7rnnHtjb22P+/PkAgLFjx6JPnz4mlWA1mSCIGzHvXqBZxD7he/EKQT1OBxaWlGPvuWxsP52J/ReyUVJepT7mYW+NYZ3dMayzO3oHOkFpYa63fhEREUnBydYKrnZK5BSW4kJWEbr5OuptP0LZE6zc3Fz8/vvviIiIgK2treaFLSwMdqWhQZXdFDPnmppWwcOB+z/XvOEyKywpx+7ELGw9lYmDSTkoq9AkVe2d2mBkuAdGdvFEV28HmLGSOhERGblQDzvkFJbifKZKTLBsaxIsI13kXpM8zZ49Gxs3bsRbb72F5ORkREdHIyQkBCEhIbh+/bpcL98yFVwFfnoEyDwFmFmIi9h7PiX7qJWqpBx7ErOw9VQGDl7IRVmlJqkKdLXFqC6eGBnugc6evPKPiIhMS0d3OxxKytUsdK8Z0Lh5HaiqBMzkmaGRfQTrxRdf1HqcnJyMM2fO4MyZM+jXr5/cL99yXIsDVk8Ur1po4wxM/BHwl+/7Ly6twLbTGdh2OgN/XryulVQFudpidFcvjA73REf3tkyqiIjIZNVa6N7GBYBCLOB984Zm0bvE9L5aOTAwEIGBgRg7dqy+X9pwshKAH8aJ+x65dwEeXgO085P8ZaqqBPyVfB0bTqRjw4mrWseYVBERtQxdunRBWloa3NyatjRE13jSFly9z21yTrHYYG4hbpFz87o46GEqCVarcyMF+PEBMbny6Qk8uhGwluYKhRrJOUX4JfYqNsel41pBibo9wMUW47p5Y1S4Bzq4MakiImoJrKys4OPjI1s8aQtwEdd/Z6pKcLOsQryS0Na1OsHKke119V5Qo1UtbL95A1jaDSjKBNw6A5N/liy5KimvxMYTVzHxq6MY8vEBfLH/Eq4VlMDe2gKTe7fH+hl9sffFgXjh3mAEu9sxuSIiaiGSk5MxYcIEJCcnyxJP2hzbWKFdG0sAwOXc6mLZtjW1sORLsPQ+ghUVFYUTJ07o+2UN4/fqbXfMrcRaGxLs2p1wTYW1x1KxKS4dhSUVAAAzBTAoxA0PRflgSKgbrC1ZUoGIqKXKz8/HL7/8gnnz5skST7UFuNgiLzUfKbnF6Oxlr1noLmM1d70nWK1mBOvMRk0phulbATuPZj9VSXklNsel46d/UnHyaoG63aedDSb18MWEHr7wcLC+yw4TERGZJn8XW5xIzUdKbpHYYFM94HErT7bXbHKCNWPGDMyePRuhoaEAgFOnTiEhIQH9+vWDr69vg+f+8MMPAMTkKi8vT/0YEPcENDnF14Gt1VdPDnyl2Rs1F5aUY/XfqfjmUApyi8TtaizNFYjp7IGHe/miX5ALa1URERE1IrB6HVZKzRRhzXKdEpVsr9nkBGvv3r346quvAIjJVXR0NKKjo/Haa6/hu+++w6BBg+o99/ZRq5r7Jj2S9c/XwK0b4hWD/V/S+fS84jKs+DMFK49chqp6GtDb0QbTov0wPtIHztz/j4iIqMn81QlW9QiWsjrBKm0BCdbte/N8++23ePzxx/HZZ58hOTkZU6dOxeHDh+s9d9q0aer7n376qWmOWt0u7kfx6+DXddqwOUtVguUHk7Hmn1TcrN4LMNDVFjMHdcD93bxgac5NPomIjJ2Xlxfee+89eHl5yRJPtfk7iwnWlestcASrffv22L17N6Kjo7Fx40b8+KOYRAQGBuLmzZtNfkGTHrmqUaoCvIKBjiOaFJ524ya+PHAJvxy/qi4IGuZlj+cGd8DwMA+YcxqQiMhkeHh46LRgXdd4qs3b0QYAcL24DCXllbBuSSNYS5cuxcMPP4xjx46hX79+6inBiooKqFRN72BsbKzOnTRKfZ8DzBoecVKVlOPzvRex4s8UlFeKiWdP/3Z4bnAHDOzoytIKREQmKD8/HwcPHsSAAQPg6OgoeTzV5tjGEjaW5rhVXonMghL41yRYJQUNn3gXmpxg+fj44PDhwygtLYVSqVkDtHfv3gbXX93JrJGkwzSYA53H1Xu0qkrA+tg0/HfHeVwvLgMA3NPBBc8PDUavgLsv5UBERC1XcnIy7r//fsTGxiIyMlLyeKpNoVDAy9Eal3KKcS3/FvytW9AIVo3bkysAiImJQUxMjGQdMgk+PeqteZV24yZe/uUUjiaLG10Hutjijfs6YXCIG0esiIiIZOLlaINLOcVIz78F+Mq/Bku24aSaZGHGjBk4d+6cuv3UqVNYu3Yt0tLS5Hppw/PpUWfzprirGL7kII4mX4e1pRleH9UJO2YPwJBQdyZXREREMqpZh3Utv0SzyL1UBci0Nlz2+bo9e/Zo1c6Kjo7Gd999h4EDB2L//v1yv7xhuHXSelhaUYl5G09hzrqTuFlWiV4BTvhj9gA8PSAQVhatYcqUiIjIsLzUCdYtTZmGqgqg/JYsryd7JXcHBwf1fV3LOxgte2/13cKScjz7YyyOXLoOhQJ4fkgwnh8azCsDiYhaKWtra3Tu3BnW1k3bgUPXeKqbOsEquAVYtQWgACBUr8NqI/nryZ5gSVXewai0dQcAZKtKMG3FMSRmqGBrZY5lUyIxKMTNwJ0jIiJD6ty5M86ePStbPNXNy1FMUNPzb4lX+SvtgdICcR2WUvoES7b5qZp6V59++ikWLFiAdu3aITg4WKu8Q2FhoVwvb1h2HrheVIpHlv+FxAwVXNpaYd2zfZlcERERGYiXgziClZxTLOYoMl9JKPsid19fXxw+fBgqlQp79+5VH9+7dy8GDhwo18sbVIXCArPWxOFSTjE8Hayx4f+i0cXbofETiYjI5MXHx8Pe3h7x8fGyxFPdPBw0U6zJucWyb5cj6wjW7t27kZycDKDu8g7ffPONXC9vUF/uv4Sjyddha2WOH57oBb/qEv1ERERVVVUoLCxEVVWVLPFUN2tLc/X9wpIK2bfLkW0NVs1/hOTkZOzYsQMKhQJOTk7o2bOnXC/ZYnz3ZwpgYYP3x3dFsLudobtDREREALq3d0Rcaj4yC27JPoIl+yL3wMBABAYGAhDL/e/cuROVlZWwsrJCnz59YGtreqM75ZUCBnZywZgIbsxJRETUUnjYi9OE2YWlso9g6bUIk6OjI2JiYhAREYGzZ8/i4YcfxsmTJ/XZBb15eXioobtAREREt3G1E5crZatKjX8E63ZXr17FO++8g65du2LcuHF4/vnn9fnyetPd1xHhPlzUTkREtYWGhiI2NlZdhFvqeKqfa1sxwcopLAUcjWwNltBAyXkfHx+88847cHFxkfplW5RBoa6G7gIREbVQbdq00WnTZl3jqX5u9tUJVlEp4G5kVxE2dpWDqSdXABDh42joLhARUQuVmpqK5557DqmpqbLEU/3UU4SFt+1HWFIgy2txIzwZ+DlJXxGWiIhMQ25uLr744gvk5ubKEk/1c20rLnLPKSwFlNVLeYxlBIsAFztl40FERESkVzVThLlFZaiyqi6jZApXEbYWNVXsiYiIqOVwsrWCQgFUVglQQdw6hyNYRERERHfB0twMTm2sAAA3Kqq3zuEIFhERkfFzc3PDnDlz4ObmJks8NUy90L1MTLRQVizL6+i1DhYREVFr5+Pjg8WLF8sWTw1ztVPiXGYhckqql/NU3AIaKDHVXBzBIiIi0qOioiIcPXoURUVFssRTw9pVTxEm599WVqqiRPLXMckEy9/fHwqFotbtueeeqzN+//79dcafO3dOzz0nIiJTd+HCBURHR+PChQuyxFPDtpy8BgBYevCqprH8luSvY5JThMeOHUNlZaX68ZkzZzBs2DBMmDChwfPOnz8Pe3t79WNXV1ZkJyIiMiWjwj2w7XQmKmEOmFkCVeVAufQjWCaZYN2ZGL3//vsICgrCwIEDGzzPzc0Njo6OTX6d0tJSlJaWqh+rVPJciUBERETSGB3uhW2nM9HTvx2QZwOUlovrsCRmklOEtysrK8OqVavwxBNPNFqfqnv37vD09MTQoUOxb9++Rp970aJFcHBwUN98fX2l6jYRERHJoJ2tJQDgRnEZYFldC0uGKUKTT7A2b96M/Px8TJ8+vd4YT09PfP3119iwYQM2btyIkJAQDB06FAcPHmzwuefNm4eCggL1LS0tTeLeExGRqbGwsICLiwssLJo2iaRrPDXM2VYs05B3s1yTYMmwyF0hCDJcm9iCDB8+HFZWVvjtt990Om/MmDFQKBTYsmVLk89RqVRwcHBAQUGB1louIiIiahmyC0vQ6909UCiAZJ+3ochJhOqBNXDodp+kn98mPYJ15coV7N69G0899ZTO5/bp0wdJSUky9IqIiIgMpaZMgyAAlebV1dxZpkE3K1asgJubG0aPHq3zuXFxcfD09JShV0RE1JqdPXsWHTp0wNmzZ2WJp4ZZmpvB3lqcbi03E6cLWaZBB1VVVVixYgWmTZtWa9563rx5SE9Pxw8//AAAWLJkCfz9/REWFqZeFL9hwwZs2LDBEF0nIiITVlpaikuXLmldhS5lPDXOydYKqpIKlCqU4pbPTLCabvfu3UhNTcUTTzxR61hGRgZSU1PVj8vKyvDSSy8hPT0dNjY2CAsLw9atWzFq1Ch9dpmIiIj0wMnWCpev30QJqvcjlGGK0GQTrJiYGNS3fn/lypVaj19++WW8/PLLeugVERERGZqDjViqoVSoSbBYpoGIiIjorthZiwnWLdSswZJ++pUJFhERkR516NABO3bsQIcOHWSJp8bZVS9yvyWIiRbKb0r+GiY7RUhERNQS2dvbY/jw4bLFU+Psq6cIiwX51mBxBIuIiEiPMjIysGDBAmRkZMgST42rGcEqquQaLCIiIpOQkZGBhQsX6pRg6RJPjatZg1VUVT2RV84RLCIiIqK7UlNoVFVRswaLI1hEREREd8W+egRLVWEuNnANFhEREdHdqVmDlc8RLCIiItPQrl07TJkyBe3atZMlnhpXswYrv6w6DWIldyIiIuMWEBCAVatWyRZPjbO3EdOfG2UWgCU4gkVERGTsSkpKcPHiRZSUNG3URNd4apzmKkKWaSAiIjIJCQkJCA4ORkJCgizx1DhbK3OYKYDSms2eWaaBiIiI6O4oFArYWVviFhMsIiIiIunYWVugDNVXEVZys2ciIiKiu2ZnbYlyoboOVmWF5M/PBIuIiIhaHTtrC1SgOsFCpeTPzzINREREehQZGQlBEGSLp6axt7ZEuYxpEEewiIiIqNWxt7ZAuXoES3pMsIiIiPTo/Pnz6Nu3L86fPy9LPDWNjZU5R7CIiIhMRXFxMf766y8UFxfLEk9N08bK/LY1WNJjgkVEREStjo2VBQAFKhTyjGIxwSIiIqJWp42VOHpVKdM0IRMsIiIianXUCZZCnmlCJlhERER65O/vjx9//BH+/v6yxFPT2FiKiVVFTTV3ibEOFhERkR45OTnh0UcflS2emsZWKaZAFTCXJRniCBYREZEe5eTkYNmyZcjJyZElnprGpnqKsIxrsIiIiIxfWloaZs2ahbS0NFniqWnaVE8RqvcjlBgTLCIiImp12liJI1dyVXNngkVEREStTs0UYSlHsIiIiIikUVOmoayKCRYREZHRs7OzQ0xMDOzs7GSJp6ZRJ1gyTRGyTAMREZEeBQcH448//pAtnpqmZoqwQuBVhEREREavsrISKpUKlZWVssRT01iZm8HcTMFF7kRERKbg5MmTcHBwwMmTJ2WJp6ZRKBRoY2mOctbBIiIiIpKOjZU5KjiCRURERCSdNlbmqIJCluc2yQRrwYIFUCgUWjcPD48Gzzlw4ACioqJgbW2NwMBAfPXVV3rqLRERERmC0kK+BMtkryIMCwvD7t271Y/NzesfAkxJScGoUaPw9NNPY9WqVfjzzz8xc+ZMuLq6Yvz48froLhEREemZpYUCVTKNNZlsgmVhYdHoqFWNr776Cu3bt8eSJUsAAJ06dcLx48fx0UcfNZhglZaWorS0VP1YpVLdVZ+JiMj0hYeHIzs7G46OjrLEU9NZmZvJlmCZ5BQhACQlJcHLywsBAQF4+OGHkZycXG/s0aNHERMTo9U2fPhwHD9+HOXl5fWet2jRIjg4OKhvvr6+kvWfiIhMk6WlJVxdXWFpaSlLPDWdpbkZ12Dponfv3vjhhx/wxx9/YPny5cjMzER0dDSuX79eZ3xmZibc3d212tzd3VFRUYHc3Nx6X2fevHkoKChQ37jTORERNebSpUsYO3YsLl26JEs8NZ2VBRMsnYwcORLjx49HeHg47r33XmzduhUA8P3339d7jkKh/Q8sCEKd7bdTKpWwt7fXuhERETWkoKAAv/32GwoKCmSJp6azMjdDlcApwmaztbVFeHg4kpKS6jzu4eGBzMxMrbbs7GxYWFjA2dlZH10kIiIiPbPkGqy7U1paisTERHh6etZ5vG/fvti1a5dW286dO9GjRw/OeRMREZkoS04R6uall17CgQMHkJKSgr///hsPPfQQVCoVpk2bBkBcOzV16lR1/IwZM3DlyhXMnTsXiYmJ+O677/Dtt9/ipZdeMtS3QERERDKT8ypCkyzTcPXqVTzyyCPIzc2Fq6sr+vTpg7/++gt+fn4AgIyMDKSmpqrjAwICsG3bNsyZMwfLli2Dl5cXli5dyhpYREQkOW9vb3z88cfw9vaWJZ6azspCIdsIlkKoWc1Nd02lUsHBwQEFBQVc8E5ERNTC/efXMwg6tgAPVO6Ew/uFkn5+m+QUIRERUUuVl5eH9evXIy8vT5Z4ajoWGiUiIjIRKSkpmDhxIlJSUmSJp6YTF7kzwSIiIiKSDCu5ExEREUlMyTINRERERNKyNFdA4BQhERGR8bOxsUH37t1hY2MjSzw1nZW5GSplGsEyyTpYRERELVWnTp1w4sQJ2eKp6bjInYiIiEhiXORORERkIuLi4qBUKhEXFydLPDWd0sIMVQJHsIiIiIyeIAgoKytDUzdS0TWemo4jWEREREQSs2QldyIiIiJpWVmYQeAIFhEREZF0LM0VqJQpFWKZBiIiIj3q1KkTzpw5g8DAQFniqemsZFyDxQSLiIhIj2xsbBAWFiZbPDWdFbfKISIiMg1XrlzBU089hStXrsgST01naW7GrXKIiIhMwfXr1/Htt9/i+vXrssRT01lZmMm2BosJFhEREbVKcq7BYoJFRERErZI4RcgEi4iIiEgyrINFRERkItzd3fHqq6/C3d1dlnhqOktzeZIrgGUaiIiI9Mrb2xuLFi2SLZ6ajlOEREREJqKwsBD79+9HYWGhLPHUdFbm8qVBTLCIiIj0KCkpCYMHD0ZSUpIs8dR0ZmYKKBQcwSIiIiKSlJlMy7CYYBEREVGrxREsIiIiIokpuMidiIjI+FlaWsLb2xuWlpayxJNuFDJlQizTQEREpEfh4eG4evWqbPGkG4VMGRZHsIiIiKjVkisRYoJFRESkR6dPn4aPjw9Onz4tSzzpSKbLCJlgERER6VF5eTnS09NRXl4uSzzpxoyL3ImIiIikxTINRERERBKTKb9igkVEREStlxlHsJpu0aJF6NmzJ+zs7ODm5oZx48bh/PnzDZ6zf/9+KBSKWrdz587pqddERNQaBAcHY9++fQgODpYlnnQj1xShSdbBOnDgAJ577jn07NkTFRUVeP311xETE4OEhATY2to2eO758+dhb2+vfuzq6ip3d4mIqBWxs7PDoEGDZIsn3TDB0sGOHTu0Hq9YsQJubm6IjY3FgAEDGjzXzc0Njo6OMvaOiIhas/T0dHz++eeYNWsWvL29JY8n3XCR+10oKCgAADg5OTUa2717d3h6emLo0KHYt29fg7GlpaVQqVRaNyIiooZkZWXh/fffR1ZWlizxpBsmWM0kCALmzp2Le+65B126dKk3ztPTE19//TU2bNiAjRs3IiQkBEOHDsXBgwfrPWfRokVwcHBQ33x9feX4FoiIiEgmnCJsplmzZuHUqVM4fPhwg3EhISEICQlRP+7bty/S0tLw0Ucf1TutOG/ePMydO1f9WKVSMckiIiIyIjIVcjftEax//etf2LJlC/bt2wcfHx+dz+/Tpw+SkpLqPa5UKmFvb691IyIiIiMi02bPJjmCJQgC/vWvf2HTpk3Yv38/AgICmvU8cXFx8PT0lLh3RETUmjk7O+PJJ5+Es7OzLPGkG7lGsEwywXruueewZs0a/Prrr7Czs0NmZiYAwMHBATY2NgDE6b309HT88MMPAIAlS5bA398fYWFhKCsrw6pVq7BhwwZs2LDBYN8HERGZHj8/P3zzzTeyxZNuuAZLB19++SUA1KobsmLFCkyfPh0AkJGRgdTUVPWxsrIyvPTSS0hPT4eNjQ3CwsKwdetWjBo1Sl/dJiKiVuDWrVtITk5GYGCg+o9+KeNJNxzB0oEgCI3GrFy5Uuvxyy+/jJdfflmmHhEREYkSExMRFRWF2NhYREZGSh5PuuFWOURERERSY4JFREREJC2OYBERERFJTCFTmQYmWERERHqkUChgZWXV5KvXdI0n3cj1z2qSi9yJiIhaqu7du6O0tFS2eNIN9yIkIiIikhjXYBEREZmAxMREREZGIjExUZZ40g1HsIiIiEzArVu3EBcXh1u3bskST7phgkVEREQkMU4REhEREUmMI1hEREREEpNrL0ImWERERHoUEBCAn3/+GQEBAbLEk24UMmVYrINFRESkR+3atcOECRNkiyfdmIFThEREREYvKysLixcvRlZWlizxpBuuwSIiIjIB6enpePHFF5Geni5LPOnGTKYpQiZYRERE1HpxBIuIiIhIWryKkIiIiEhiCoU8qRATLCIiIj1ycHDAmDFj4ODgIEs86UauESyWaSAiItKjoKAgbNmyRbZ40g23yiEiIjIB5eXlyMnJQXl5uSzxpBtOERIREZmA06dPw83NDadPn5YlnnTDRe5EREREEpNrqxwmWERERNRqcQ0WERERkcS4VQ4RERGRxOQawWKZBiIiIj2KiIhAQUEBbG1tZYkn3cg1gsUEi4iISI/Mzc1hb28vWzzphlcREhERmYCkpCQMHz4cSUlJssSTbhRmrINFRERk9AoLC7Fz504UFhbKEk+64VWERERERBLjFCERERGRxLhVDhEREZHEOIJFRERkAnx9ffH555/D19dXlnjSjVxb5bBMAxERkR65urriueeeky2edKMAF7kTEREZvRs3bmDVqlW4ceOGLPGkGzNu9qy7L774AgEBAbC2tkZUVBQOHTrUYPyBAwcQFRUFa2trBAYG4quvvtJTT4mIqLW4fPkyHnvsMVy+fFmWeNINyzToaN26dZg9ezZef/11xMXFoX///hg5ciRSU1PrjE9JScGoUaPQv39/xMXF4bXXXsPzzz+PDRs26LnnREREpC8sNKqjxYsX48knn8RTTz2FTp06YcmSJfD19cWXX35ZZ/xXX32F9u3bY8mSJejUqROeeuopPPHEE/joo4/03HMiIiLSF3Nzc5QI0i9JN8kEq6ysDLGxsYiJidFqj4mJwZEjR+o85+jRo7Xihw8fjuPHj6O8vLzOc0pLS6FSqbRuREREZDy6DZ4A69cuS/68Jplg5ebmorKyEu7u7lrt7u7uyMzMrPOczMzMOuMrKiqQm5tb5zmLFi2Cg4OD+sZLaImIqDG2trbo06cPbG1tZYmnlsEkE6waijsWrgmCUKutsfi62mvMmzcPBQUF6ltaWtpd9piIiExdSEgIjh49ipCQEFniqWUwyTpYLi4uMDc3rzValZ2dXWuUqoaHh0ed8RYWFnB2dq7zHKVSCaVSKU2niYiIyGSY5AiWlZUVoqKisGvXLq32Xbt2ITo6us5z+vbtWyt+586d6NGjBywtLWXrKxERtS4nTpyAQqHAiRMnZImnlsEkEywAmDt3Lr755ht89913SExMxJw5c5CamooZM2YAEKf3pk6dqo6fMWMGrly5grlz5yIxMRHfffcdvv32W7z00kuG+haIiIjISJnkFCEATJo0CdevX8dbb72FjIwMdOnSBdu2bYOfnx8AICMjQ6smVkBAALZt24Y5c+Zg2bJl8PLywtKlSzF+/HhDfQtERERkpEw2wQKAmTNnYubMmXUeW7lyZa22gQMHcgiWiIiI7prJThESERERGYpJj2ARERG1NJ07d0ZSUhJ8fHxkiaeWgQkWERGRHllbW6NDhw6yxVPLwClCIiIiPUpJScGjjz6KlJQUWeKpZWCCRUREpEd5eXlYvXo18vLyZImnloEJFhEREZHEmGARERERSYyL3CVUszm0SqUycE+IiKilKioqUn9tyueFrvGku5p/15rPcSkoBCmfrZVLTk5GUFCQobtBREREzXDp0iUEBgZK8lwcwZKQk5MTACA1NRUODg4G7k3rplKp4Ovri7S0NNjb2xu6O60a34uWg+9Fy8L3o+UoKChA+/bt1Z/jUmCCJSEzM3FJm4ODA39YWgh7e3u+Fy0E34uWg+9Fy8L3o+Wo+RyX5LkkeyYiIiIiAsAEi4iIiEhyTLAkpFQq8eabb0KpVBq6K60e34uWg+9Fy8H3omXh+9FyyPFe8CpCIiIiIolxBIuIiIhIYkywiIiIiCTGBIuIiIhIYkywiIiIiCTGBEtHX3zxBQICAmBtbY2oqCgcOnSowfgDBw4gKioK1tbWCAwMxFdffaWnnpo+Xd6LjRs3YtiwYXB1dYW9vT369u2LP/74Q4+9NW26/lzU+PPPP2FhYYFu3brJ28FWRNf3orS0FK+//jr8/PygVCoRFBSE7777Tk+9NW26vherV69GREQE2rRpA09PTzz++OO4fv26nnprug4ePIgxY8bAy8sLCoUCmzdvbvQcST67BWqytWvXCpaWlsLy5cuFhIQE4YUXXhBsbW2FK1eu1BmfnJwstGnTRnjhhReEhIQEYfny5YKlpaXwyy+/6LnnpkfX9+KFF14QPvjgA+Gff/4RLly4IMybN0+wtLQUTpw4oeeemx5d34sa+fn5QmBgoBATEyNERETop7MmrjnvxdixY4XevXsLu3btElJSUoS///5b+PPPP/XYa9Ok63tx6NAhwczMTPj000+F5ORk4dChQ0JYWJgwbtw4Pffc9Gzbtk14/fXXhQ0bNggAhE2bNjUYL9VnNxMsHfTq1UuYMWOGVltoaKjw6quv1hn/8ssvC6GhoVptzz77rNCnTx/Z+tha6Ppe1KVz587CwoULpe5aq9Pc92LSpEnCG2+8Ibz55ptMsCSi63uxfft2wcHBQbh+/bo+uteq6PpefPjhh0JgYKBW29KlSwUfHx/Z+tgaNSXBkuqzm1OETVRWVobY2FjExMRotcfExODIkSN1nnP06NFa8cOHD8fx48dRXl4uW19NXXPeiztVVVWhsLBQ0o09W6PmvhcrVqzApUuX8Oabb8rdxVajOe/Fli1b0KNHD/z3v/+Ft7c3OnbsiJdeegm3bt3SR5dNVnPei+joaFy9ehXbtm2DIAjIysrCL7/8gtGjR+ujy3QbqT67udlzE+Xm5qKyshLu7u5a7e7u7sjMzKzznMzMzDrjKyoqkJubC09PT9n6a8qa817c6eOPP0ZxcTEmTpwoRxdbjea8F0lJSXj11Vdx6NAhWFjwV5BUmvNeJCcn4/Dhw7C2tsamTZuQm5uLmTNn4saNG1yHdRea815ER0dj9erVmDRpEkpKSlBRUYGxY8fis88+00eX6TZSfXZzBEtHCoVC67EgCLXaGouvq510p+t7UeOnn37CggULsG7dOri5ucnVvValqe9FZWUlJk+ejIULF6Jjx4766l6rosvPRVVVFRQKBVavXo1evXph1KhRWLx4MVauXMlRLAno8l4kJCTg+eefx3/+8x/ExsZix44dSElJwYwZM/TRVbqDFJ/d/POxiVxcXGBubl7rr4/s7OxamW4NDw+POuMtLCzg7OwsW19NXXPeixrr1q3Dk08+ifXr1+Pee++Vs5utgq7vRWFhIY4fP464uDjMmjULgPghLwgCLCwssHPnTgwZMkQvfTc1zfm58PT0hLe3NxwcHNRtnTp1giAIuHr1KoKDg2Xts6lqznuxaNEi9OvXD//+978BAF27doWtrS369++Pd955hzMeeiTVZzdHsJrIysoKUVFR2LVrl1b7rl27EB0dXec5ffv2rRW/c+dO9OjRA5aWlrL11dQ1570AxJGr6dOnY82aNVzXIBFd3wt7e3ucPn0a8fHx6tuMGTMQEhKC+Ph49O7dW19dNznN+bno168frl27hqKiInXbhQsXYGZmBh8fH1n7a8qa817cvHkTZmbaH8nm5uYANKMnpB+SfXbrtCS+lau57Pbbb78VEhIShNmzZwu2trbC5cuXBUEQhFdffVV47LHH1PE1l3rOmTNHSEhIEL799luWaZCIru/FmjVrBAsLC2HZsmVCRkaG+pafn2+ob8Fk6Ppe3IlXEUpH1/eisLBQ8PHxER566CHh7NmzwoEDB4Tg4GDhqaeeMtS3YDJ0fS9WrFghWFhYCF988YVw6dIl4fDhw0KPHj2EXr16GepbMBmFhYVCXFycEBcXJwAQFi9eLMTFxalLZsj12c0ES0fLli0T/Pz8BCsrKyEyMlI4cOCA+ti0adOEgQMHasXv379f6N69u2BlZSX4+/sLX375pZ57bLp0eS8GDhwoAKh1mzZtmv47boJ0/bm4HRMsaen6XiQmJgr33nuvYGNjI/j4+Ahz584Vbt68qedemyZd34ulS5cKnTt3FmxsbARPT09hypQpwtWrV/Xca9Ozb9++Bn//y/XZrRAEjj0SERERSYlrsIiIiIgkxgSLiIiISGJMsIiIiIgkxgSLiIiISGJMsIiIiIgkxgSLiIiISGJMsIiIiIgkxgSLiIiISGJMsIiIWqj9+/dDoVAgPz/f0F0hIh0xwSIivZk+fToUCoX65uzsjBEjRuDUqVNacbfH2NraIjg4GNOnT0dsbGy9z1XXTS4KhQKbN2+W7fmJyPgxwSIivRoxYgQyMjKQkZGBPXv2wMLCAvfdd1+tuBUrViAjIwNnz57FsmXLUFRUhN69e+OHH34AAHz66afq58nIyNA65/Y2IiJDYIJFRHqlVCrh4eEBDw8PdOvWDa+88grS0tKQk5OjFefo6AgPDw/4+/sjJiYGv/zyC6ZMmYJZs2YhLy8PDg4O6ufx8PDQOuf2trr8+eefGDhwINq0aYN27dph+PDhyMvLAwD4+/tjyZIlWvHdunXDggUL1McB4IEHHoBCoVA/vlPfvn3x6quvarXl5OTA0tIS+/btAwCsWrUKPXr0gJ2dHTw8PDB58mRkZ2fX2+8FCxagW7duWm1Lliyp1YcVK1agU6dOsLa2RmhoKL744ot6n5OI5MEEi4gMpqioCKtXr0aHDh3g7OzcaPycOXNQWFiIXbt2Nfs14+PjMXToUISFheHo0aM4fPgwxowZg8rKyiadf+zYMQCa0bKax3eaMmUKfvrpJwiCoG5bt24d3N3dMXDgQABAWVkZ3n77bZw8eRKbN29GSkoKpk+f3uzvDQCWL1+O119/He+++y4SExPx3nvvYf78+fj+++/v6nmJSDcWhu4AEbUuv//+O9q2bQsAKC4uhqenJ37//XeYmTX+915oaCgA4PLly81+/f/+97/o0aOH1qhOWFhYk893dXUFoBktq8+kSZMwZ84cHD58GP379wcArFmzBpMnT1Z/r0888YQ6PjAwEEuXLkWvXr1QVFSk/jfS1dtvv42PP/4YDz74IAAgICAACQkJ+N///odp06Y16zmJSHccwSIivRo8eDDi4+MRHx+Pv//+GzExMRg5ciSuXLnS6Lk1o0F3s4C9ZgRLbq6urhg2bBhWr14NAEhJScHRo0cxZcoUdUxcXBzuv/9++Pn5wc7ODoMGDQIApKamNus1c3JykJaWhieffBJt27ZV39555x1cunTprr8nImo6jmARkV7Z2tqiQ4cO6sdRUVFwcHDA8uXL8c477zR4bmJiIgBxVKa5bGxsGjxuZmamNa0HAOXl5c16rSlTpuCFF17AZ599hjVr1iAsLAwREREAxNG7mJgYxMTEYNWqVXB1dUVqaiqGDx+OsrKyZvWtqqoKgDhN2Lt3b604c3PzZn0PRNQ8HMEiIoNSKBQwMzPDrVu3Go1dsmQJ7O3tce+99zb79bp27Yo9e/bUe9zV1VXrCkSVSoWUlBStGEtLyyat2Ro3bhxKSkqwY8cOrFmzBo8++qj62Llz55Cbm4v3338f/fv3R2hoaIML3Gv6lpmZqZVkxcfHq++7u7vD29sbycnJ6NChg9btbpJSItIdR7CISK9KS0uRmZkJAMjLy8Pnn3+OoqIijBkzRisuPz8fmZmZKC0txYULF/C///0Pmzdvxg8//ABHR8dmv/68efMQHh6OmTNnYsaMGbCyssK+ffswYcIEuLi4YMiQIVi5ciXGjBmDdu3aYf78+bVGf/z9/bFnzx7069cPSqUS7dq1q/O1bG1tcf/992P+/PlITEzE5MmT1cfat28PKysrfPbZZ5gxYwbOnDmDt99+u8G+Dxo0CDk5Ofjvf/+Lhx56CDt27MD27dthb2+vjlmwYAGef/552NvbY+TIkSgtLcXx48eRl5eHuXPnNvvfjYh0JBAR6cm0adMEAOqbnZ2d0LNnT+GXX37Rirs9xtraWggKChKmTZsmxMbG1vvcAIRNmzY1qR/79+8XoqOjBaVSKTg6OgrDhw8X8vLyBEEQhIKCAmHixImCvb294OvrK6xcuVKIiIgQ3nzzTfX5W7ZsETp06CBYWFgIfn5+Db7W1q1bBQDCgAEDah1bs2aN4O/vLyiVSqFv377Cli1bBABCXFycIAiCsG/fPgGAum+CIAhffvml4OvrK9ja2gpTp04V3n333Vp9WL16tdCtWzfByspKaNeunTBgwABh48aNTfq3ISJpKAThjgl9IiIiIrorXINFREREJDEmWEREREQSY4JFREREJDEmWEREREQSY4JFREREJDEmWEREREQSY4JFREREJDEmWEREREQSY4JFREREJDEmWEREREQSY4JFREREJLH/B2q35kVGgQVWAAAAAElFTkSuQmCC", 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", 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" ] @@ -860,10 +860,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:42.055260Z", - "iopub.status.busy": "2024-03-13T13:30:42.055097Z", - "iopub.status.idle": "2024-03-13T13:30:42.059975Z", - "shell.execute_reply": "2024-03-13T13:30:42.059489Z" + "iopub.execute_input": "2024-04-04T17:06:51.550697Z", + "iopub.status.busy": "2024-04-04T17:06:51.550372Z", + "iopub.status.idle": "2024-04-04T17:06:51.555688Z", + "shell.execute_reply": "2024-04-04T17:06:51.555145Z" } }, "outputs": [], @@ -916,10 +916,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:30:42.061864Z", - "iopub.status.busy": "2024-03-13T13:30:42.061544Z", - "iopub.status.idle": "2024-03-13T13:31:02.229220Z", - "shell.execute_reply": "2024-03-13T13:31:02.228693Z" + "iopub.execute_input": "2024-04-04T17:06:51.558037Z", + "iopub.status.busy": "2024-04-04T17:06:51.557603Z", + "iopub.status.idle": "2024-04-04T17:07:11.817611Z", + "shell.execute_reply": "2024-04-04T17:07:11.817098Z" } }, "outputs": [ @@ -959,7 +959,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "XGBoost grid-scan --- 18.928831338882446 seconds ---\n" + "XGBoost grid-scan --- 19.002870082855225 seconds ---\n" ] }, { @@ -989,14 +989,14 @@ "Suggestion: {'max_depth': 7, 'min_child_weight': 3}\n", "Accuracy: 0.8091291887649159\n", "\n", - "hpgridscan(bdt_st) --- 19.163902044296265 seconds ---\n" + "hpgridscan(bdt_st) --- 19.241756439208984 seconds ---\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_4072/1018627576.py:13: SettingWithCopyWarning: \n", + "/tmp/ipykernel_3941/1018627576.py:13: SettingWithCopyWarning: \n", "A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_indexer,col_indexer] = value instead\n", "\n", @@ -1033,10 +1033,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:02.231831Z", - "iopub.status.busy": "2024-03-13T13:31:02.231507Z", - "iopub.status.idle": "2024-03-13T13:31:02.234113Z", - "shell.execute_reply": "2024-03-13T13:31:02.233697Z" + "iopub.execute_input": "2024-04-04T17:07:11.820342Z", + "iopub.status.busy": "2024-04-04T17:07:11.820127Z", + "iopub.status.idle": "2024-04-04T17:07:11.823700Z", + "shell.execute_reply": "2024-04-04T17:07:11.823158Z" } }, "outputs": [], @@ -1062,10 +1062,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:02.236036Z", - "iopub.status.busy": "2024-03-13T13:31:02.235861Z", - "iopub.status.idle": "2024-03-13T13:31:03.969352Z", - "shell.execute_reply": "2024-03-13T13:31:03.968848Z" + "iopub.execute_input": "2024-04-04T17:07:11.825797Z", + "iopub.status.busy": "2024-04-04T17:07:11.825479Z", + "iopub.status.idle": "2024-04-04T17:07:13.589824Z", + "shell.execute_reply": "2024-04-04T17:07:13.589261Z" } }, "outputs": [ @@ -1081,7 +1081,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -1110,10 +1110,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:03.971193Z", - "iopub.status.busy": "2024-03-13T13:31:03.971025Z", - "iopub.status.idle": "2024-03-13T13:31:05.804988Z", - "shell.execute_reply": "2024-03-13T13:31:05.804464Z" + "iopub.execute_input": "2024-04-04T17:07:13.591941Z", + "iopub.status.busy": "2024-04-04T17:07:13.591593Z", + "iopub.status.idle": "2024-04-04T17:07:15.434326Z", + "shell.execute_reply": "2024-04-04T17:07:15.433798Z" } }, "outputs": [ @@ -1128,7 +1128,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "bdt_cv : S/sqrt(S+B) = 15.169853456648152 at x = 0.8216172\n" + "bdt_cv : S/sqrt(S+B) = 15.251608197066982 at x = 0.79652405\n" ] }, { @@ -1148,7 +1148,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -1157,7 +1157,7 @@ }, { "data": { - "image/png": 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", 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" ] @@ -1210,17 +1210,17 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:05.806842Z", - "iopub.status.busy": "2024-03-13T13:31:05.806674Z", - "iopub.status.idle": "2024-03-13T13:31:05.955354Z", - "shell.execute_reply": "2024-03-13T13:31:05.954820Z" + "iopub.execute_input": "2024-04-04T17:07:15.436354Z", + "iopub.status.busy": "2024-04-04T17:07:15.436163Z", + "iopub.status.idle": "2024-04-04T17:07:15.596143Z", + "shell.execute_reply": "2024-04-04T17:07:15.595623Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -1275,10 +1275,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:05.957323Z", - "iopub.status.busy": "2024-03-13T13:31:05.957153Z", - "iopub.status.idle": "2024-03-13T13:31:05.960121Z", - "shell.execute_reply": "2024-03-13T13:31:05.959682Z" + "iopub.execute_input": "2024-04-04T17:07:15.598350Z", + "iopub.status.busy": "2024-04-04T17:07:15.597990Z", + "iopub.status.idle": "2024-04-04T17:07:15.600977Z", + "shell.execute_reply": "2024-04-04T17:07:15.600501Z" } }, "outputs": [ @@ -1286,8 +1286,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "Notebook real time --- 305.2563531398773 seconds ---\n", - "Notebook CPU time --- 184.298209235 seconds ---\n" + "Notebook real time --- 305.30211877822876 seconds ---\n", + "Notebook CPU time --- 188.882941402 seconds ---\n" ] } ], diff --git a/advanced-python/40Histograms.html b/advanced-python/40Histograms.html index d191c968..7086120d 100644 --- a/advanced-python/40Histograms.html +++ b/advanced-python/40Histograms.html @@ -527,7 +527,7 @@

6: Histograms 
-ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fc375629810>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fc375906310>, text=[])
+ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fc333a4b110>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fc33371b210>, text=[])
@@ -652,7 +652,7 @@

Compatibility with mplhep 
-[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc3756eb8d0>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc3335db550>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]

@@ -680,7 +680,7 @@

Plotting with hist 
-[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc347525150>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc306c08d50>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]

@@ -705,7 +705,7 @@

Plotting with hist 
-[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc3473d4750>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc33379e6d0>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]

@@ -1822,7 +1822,7 @@

Multiple dimensions 
-ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fc3474304d0>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fc3472e7d10>, text=[])
+ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fc332948110>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fc3069dc190>, text=[])

@@ -3546,7 +3546,7 @@

Arithmetics 
-[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc347444dd0>, errorbar=None, legend_artist=None)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc306a39710>, errorbar=None, legend_artist=None)]

@@ -3571,7 +3571,7 @@

Arithmetics 
-[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc3441b30d0>, errorbar=None, legend_artist=None)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc3048ce350>, errorbar=None, legend_artist=None)]

@@ -3712,8 +3712,8 @@

Weights - - + + @@ -3760,12 +3760,12 @@

Weights - - - - - - + + + + + + @@ -3810,13 +3810,13 @@

Weights - - - - - - - + + + + + + + @@ -3860,13 +3860,13 @@

Weights - - - - - - - + + + + + + + @@ -3909,14 +3909,14 @@

Weights - - - - - - - - + + + + + + + + @@ -3959,14 +3959,14 @@

Weights - - - - - - - - + + + + + + + + @@ -4010,13 +4010,13 @@

Weights - - - + + + - - - + + + @@ -4058,15 +4058,15 @@

Weights - - - - - - - - - + + + + + + + + + @@ -4109,14 +4109,14 @@

Weights - - - - - - - - + + + + + + + + @@ -4159,15 +4159,15 @@

Weights - - - - - - - - - + + + + + + + + + @@ -4209,14 +4209,14 @@

Weights - - - - - - - - + + + + + + + + @@ -4259,15 +4259,15 @@

Weights - - - - - - - - - + + + + + + + + + @@ -4308,15 +4308,15 @@

Weights - - - - - - - - - + + + + + + + + + @@ -4359,14 +4359,14 @@

Weights - - - - - - - - + + + + + + + + @@ -4408,16 +4408,16 @@

Weights - - - - - - - - - - + + + + + + + + + + @@ -4458,16 +4458,16 @@

Weights - - - - - - - - - - + + + + + + + + + + @@ -4508,16 +4508,16 @@

Weights - - - - - - - - - - + + + + + + + + + + @@ -4557,18 +4557,18 @@

Weights - - - - - - - - - - - - + + + + + + + + + + + + @@ -4605,24 +4605,24 @@

Weights - + - - - - - - - - - - - - - - + + + + + + + + + + + + + + - + @@ -4646,7 +4646,7 @@

Weights Regular(50, 2.75, 3.5, name='mass')
Regular(20, 0.026503, 0.993653, name='BDT')
-Weight() Σ=WeightedSum(value=119980, variance=121198) (WeightedSum(value=120039, variance=121258) with flow) +Weight() Σ=WeightedSum(value=119954, variance=121134) (WeightedSum(value=120013, variance=121192) with flow)

@@ -4745,7 +4745,7 @@

Weights 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, - 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.15254859e+00], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.50337853e-01], [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, @@ -4755,72 +4755,72 @@

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0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.18119797e+00], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.44536050e+00], [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, - 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.52477544e+00], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.43595603e+00], [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, @@ -4830,7 +4830,7 @@

Weights 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, - 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.71146555e-01], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.67328510e-01], [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, diff --git a/advanced-python/40Histograms.ipynb b/advanced-python/40Histograms.ipynb index 52a62096..829d8b88 100644 --- a/advanced-python/40Histograms.ipynb +++ b/advanced-python/40Histograms.ipynb @@ -32,10 +32,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:10.055524Z", - "iopub.status.busy": "2024-03-13T13:31:10.055360Z", - "iopub.status.idle": "2024-03-13T13:31:11.080968Z", - "shell.execute_reply": "2024-03-13T13:31:11.080468Z" + "iopub.execute_input": "2024-04-04T17:07:19.754048Z", + "iopub.status.busy": "2024-04-04T17:07:19.753654Z", + "iopub.status.idle": "2024-04-04T17:07:20.794975Z", + "shell.execute_reply": "2024-04-04T17:07:20.794465Z" }, "pycharm": { "name": "#%%\n" @@ -59,10 +59,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.083398Z", - "iopub.status.busy": "2024-03-13T13:31:11.082918Z", - "iopub.status.idle": "2024-03-13T13:31:11.221391Z", - "shell.execute_reply": "2024-03-13T13:31:11.220863Z" + "iopub.execute_input": "2024-04-04T17:07:20.797484Z", + "iopub.status.busy": "2024-04-04T17:07:20.797036Z", + "iopub.status.idle": "2024-04-04T17:07:20.936336Z", + "shell.execute_reply": "2024-04-04T17:07:20.935844Z" }, "pycharm": { "name": "#%%\n" @@ -72,7 +72,7 @@ { "data": { "text/plain": [ - "ColormeshArtists(pcolormesh=, cbar=, text=[])" + "ColormeshArtists(pcolormesh=, cbar=, text=[])" ] }, "execution_count": 2, @@ -162,10 +162,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.223457Z", - "iopub.status.busy": "2024-03-13T13:31:11.223131Z", - "iopub.status.idle": "2024-03-13T13:31:11.226880Z", - "shell.execute_reply": "2024-03-13T13:31:11.226409Z" + "iopub.execute_input": "2024-04-04T17:07:20.938202Z", + "iopub.status.busy": "2024-04-04T17:07:20.938042Z", + "iopub.status.idle": "2024-04-04T17:07:20.941630Z", + "shell.execute_reply": "2024-04-04T17:07:20.941250Z" } }, "outputs": [], @@ -186,10 +186,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.228803Z", - "iopub.status.busy": "2024-03-13T13:31:11.228641Z", - "iopub.status.idle": "2024-03-13T13:31:11.231027Z", - "shell.execute_reply": "2024-03-13T13:31:11.230622Z" + "iopub.execute_input": "2024-04-04T17:07:20.943512Z", + "iopub.status.busy": "2024-04-04T17:07:20.943208Z", + "iopub.status.idle": "2024-04-04T17:07:20.945772Z", + "shell.execute_reply": "2024-04-04T17:07:20.945295Z" }, "pycharm": { "name": "#%%\n" @@ -205,10 +205,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.232694Z", - "iopub.status.busy": "2024-03-13T13:31:11.232531Z", - "iopub.status.idle": "2024-03-13T13:31:11.237210Z", - "shell.execute_reply": "2024-03-13T13:31:11.236711Z" + "iopub.execute_input": "2024-04-04T17:07:20.947717Z", + "iopub.status.busy": "2024-04-04T17:07:20.947318Z", + "iopub.status.idle": "2024-04-04T17:07:20.952103Z", + "shell.execute_reply": "2024-04-04T17:07:20.951708Z" } }, "outputs": [ @@ -259,10 +259,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.238925Z", - "iopub.status.busy": "2024-03-13T13:31:11.238776Z", - "iopub.status.idle": "2024-03-13T13:31:11.241652Z", - "shell.execute_reply": "2024-03-13T13:31:11.241187Z" + "iopub.execute_input": "2024-04-04T17:07:20.953911Z", + "iopub.status.busy": "2024-04-04T17:07:20.953581Z", + "iopub.status.idle": "2024-04-04T17:07:20.956501Z", + "shell.execute_reply": "2024-04-04T17:07:20.956136Z" } }, "outputs": [], @@ -286,17 +286,17 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.243667Z", - "iopub.status.busy": "2024-03-13T13:31:11.243260Z", - "iopub.status.idle": "2024-03-13T13:31:11.566856Z", - "shell.execute_reply": "2024-03-13T13:31:11.566330Z" + "iopub.execute_input": "2024-04-04T17:07:20.958333Z", + "iopub.status.busy": "2024-04-04T17:07:20.958032Z", + "iopub.status.idle": "2024-04-04T17:07:21.283550Z", + "shell.execute_reply": "2024-04-04T17:07:21.282965Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=, legend_artist=)]" + "[StairsArtists(stairs=, errorbar=, legend_artist=)]" ] }, "execution_count": 7, @@ -305,7 +305,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -333,17 +333,17 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.568996Z", - "iopub.status.busy": "2024-03-13T13:31:11.568735Z", - "iopub.status.idle": "2024-03-13T13:31:11.670966Z", - "shell.execute_reply": "2024-03-13T13:31:11.670439Z" + "iopub.execute_input": "2024-04-04T17:07:21.285578Z", + "iopub.status.busy": "2024-04-04T17:07:21.285332Z", + "iopub.status.idle": "2024-04-04T17:07:21.389590Z", + "shell.execute_reply": "2024-04-04T17:07:21.389035Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=, legend_artist=)]" + "[StairsArtists(stairs=, errorbar=, legend_artist=)]" ] }, "execution_count": 8, @@ -352,7 +352,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -370,17 +370,17 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.672966Z", - "iopub.status.busy": "2024-03-13T13:31:11.672663Z", - "iopub.status.idle": "2024-03-13T13:31:11.779661Z", - "shell.execute_reply": "2024-03-13T13:31:11.779211Z" + "iopub.execute_input": "2024-04-04T17:07:21.391515Z", + "iopub.status.busy": "2024-04-04T17:07:21.391339Z", + "iopub.status.idle": "2024-04-04T17:07:21.502858Z", + "shell.execute_reply": "2024-04-04T17:07:21.502296Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=, legend_artist=)]" + "[StairsArtists(stairs=, errorbar=, legend_artist=)]" ] }, "execution_count": 9, @@ -389,7 +389,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -408,10 +408,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.781681Z", - "iopub.status.busy": "2024-03-13T13:31:11.781342Z", - "iopub.status.idle": "2024-03-13T13:31:11.785014Z", - "shell.execute_reply": "2024-03-13T13:31:11.784622Z" + "iopub.execute_input": "2024-04-04T17:07:21.504900Z", + "iopub.status.busy": "2024-04-04T17:07:21.504714Z", + "iopub.status.idle": "2024-04-04T17:07:21.508548Z", + "shell.execute_reply": "2024-04-04T17:07:21.508153Z" } }, "outputs": [ @@ -450,10 +450,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.786655Z", - "iopub.status.busy": "2024-03-13T13:31:11.786509Z", - "iopub.status.idle": "2024-03-13T13:31:11.789774Z", - "shell.execute_reply": "2024-03-13T13:31:11.789405Z" + "iopub.execute_input": "2024-04-04T17:07:21.510267Z", + "iopub.status.busy": "2024-04-04T17:07:21.510101Z", + "iopub.status.idle": "2024-04-04T17:07:21.513529Z", + "shell.execute_reply": "2024-04-04T17:07:21.513161Z" } }, "outputs": [], @@ -467,10 +467,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.791613Z", - "iopub.status.busy": "2024-03-13T13:31:11.791306Z", - "iopub.status.idle": "2024-03-13T13:31:11.794636Z", - "shell.execute_reply": "2024-03-13T13:31:11.794258Z" + "iopub.execute_input": "2024-04-04T17:07:21.515153Z", + "iopub.status.busy": "2024-04-04T17:07:21.515003Z", + "iopub.status.idle": "2024-04-04T17:07:21.518356Z", + "shell.execute_reply": "2024-04-04T17:07:21.517987Z" } }, "outputs": [], @@ -483,10 +483,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.796223Z", - "iopub.status.busy": "2024-03-13T13:31:11.796076Z", - "iopub.status.idle": "2024-03-13T13:31:11.815204Z", - "shell.execute_reply": "2024-03-13T13:31:11.814748Z" + "iopub.execute_input": "2024-04-04T17:07:21.519993Z", + "iopub.status.busy": "2024-04-04T17:07:21.519813Z", + "iopub.status.idle": "2024-04-04T17:07:21.539913Z", + "shell.execute_reply": "2024-04-04T17:07:21.539397Z" } }, "outputs": [ @@ -1549,17 +1549,17 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.817997Z", - "iopub.status.busy": "2024-03-13T13:31:11.817710Z", - "iopub.status.idle": "2024-03-13T13:31:11.986486Z", - "shell.execute_reply": "2024-03-13T13:31:11.985968Z" + "iopub.execute_input": "2024-04-04T17:07:21.543043Z", + "iopub.status.busy": "2024-04-04T17:07:21.542534Z", + "iopub.status.idle": "2024-04-04T17:07:21.714418Z", + "shell.execute_reply": "2024-04-04T17:07:21.713884Z" } }, "outputs": [ { "data": { "text/plain": [ - "ColormeshArtists(pcolormesh=, cbar=, text=[])" + "ColormeshArtists(pcolormesh=, cbar=, text=[])" ] }, "execution_count": 14, @@ -1568,7 +1568,7 @@ }, { "data": { - "image/png": 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", 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", 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" ] @@ -1595,10 +1595,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.988590Z", - "iopub.status.busy": "2024-03-13T13:31:11.988242Z", - "iopub.status.idle": "2024-03-13T13:31:11.991847Z", - "shell.execute_reply": "2024-03-13T13:31:11.991371Z" + "iopub.execute_input": "2024-04-04T17:07:21.716431Z", + "iopub.status.busy": "2024-04-04T17:07:21.716248Z", + "iopub.status.idle": "2024-04-04T17:07:21.719848Z", + "shell.execute_reply": "2024-04-04T17:07:21.719391Z" } }, "outputs": [ @@ -1634,10 +1634,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:11.993949Z", - "iopub.status.busy": "2024-03-13T13:31:11.993485Z", - "iopub.status.idle": "2024-03-13T13:31:12.001001Z", - "shell.execute_reply": "2024-03-13T13:31:12.000612Z" + "iopub.execute_input": "2024-04-04T17:07:21.721680Z", + "iopub.status.busy": "2024-04-04T17:07:21.721428Z", + "iopub.status.idle": "2024-04-04T17:07:21.798840Z", + "shell.execute_reply": "2024-04-04T17:07:21.798305Z" } }, "outputs": [ @@ -1869,10 +1869,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.002886Z", - "iopub.status.busy": "2024-03-13T13:31:12.002575Z", - "iopub.status.idle": "2024-03-13T13:31:12.006749Z", - "shell.execute_reply": "2024-03-13T13:31:12.006381Z" + "iopub.execute_input": "2024-04-04T17:07:21.801208Z", + "iopub.status.busy": "2024-04-04T17:07:21.800788Z", + "iopub.status.idle": "2024-04-04T17:07:21.805437Z", + "shell.execute_reply": "2024-04-04T17:07:21.805028Z" } }, "outputs": [ @@ -1932,10 +1932,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.008676Z", - "iopub.status.busy": "2024-03-13T13:31:12.008218Z", - "iopub.status.idle": "2024-03-13T13:31:12.011685Z", - "shell.execute_reply": "2024-03-13T13:31:12.011227Z" + "iopub.execute_input": "2024-04-04T17:07:21.807324Z", + "iopub.status.busy": "2024-04-04T17:07:21.806974Z", + "iopub.status.idle": "2024-04-04T17:07:21.810466Z", + "shell.execute_reply": "2024-04-04T17:07:21.809976Z" } }, "outputs": [ @@ -1960,10 +1960,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.013588Z", - "iopub.status.busy": "2024-03-13T13:31:12.013282Z", - "iopub.status.idle": "2024-03-13T13:31:12.016458Z", - "shell.execute_reply": "2024-03-13T13:31:12.016036Z" + "iopub.execute_input": "2024-04-04T17:07:21.812165Z", + "iopub.status.busy": "2024-04-04T17:07:21.812010Z", + "iopub.status.idle": "2024-04-04T17:07:21.815279Z", + "shell.execute_reply": "2024-04-04T17:07:21.814816Z" } }, "outputs": [ @@ -1987,10 +1987,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.018098Z", - "iopub.status.busy": "2024-03-13T13:31:12.017951Z", - "iopub.status.idle": "2024-03-13T13:31:12.021458Z", - "shell.execute_reply": "2024-03-13T13:31:12.020979Z" + "iopub.execute_input": "2024-04-04T17:07:21.817034Z", + "iopub.status.busy": "2024-04-04T17:07:21.816773Z", + "iopub.status.idle": "2024-04-04T17:07:21.820430Z", + "shell.execute_reply": "2024-04-04T17:07:21.819975Z" } }, "outputs": [ @@ -2024,10 +2024,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.023268Z", - "iopub.status.busy": "2024-03-13T13:31:12.022965Z", - "iopub.status.idle": "2024-03-13T13:31:12.026408Z", - "shell.execute_reply": "2024-03-13T13:31:12.026016Z" + "iopub.execute_input": "2024-04-04T17:07:21.822248Z", + "iopub.status.busy": "2024-04-04T17:07:21.821996Z", + "iopub.status.idle": "2024-04-04T17:07:21.825557Z", + "shell.execute_reply": "2024-04-04T17:07:21.825107Z" } }, "outputs": [ @@ -2060,10 +2060,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.027996Z", - "iopub.status.busy": "2024-03-13T13:31:12.027851Z", - "iopub.status.idle": "2024-03-13T13:31:12.031162Z", - "shell.execute_reply": "2024-03-13T13:31:12.030738Z" + "iopub.execute_input": "2024-04-04T17:07:21.827378Z", + "iopub.status.busy": "2024-04-04T17:07:21.827014Z", + "iopub.status.idle": "2024-04-04T17:07:21.830585Z", + "shell.execute_reply": "2024-04-04T17:07:21.830138Z" } }, "outputs": [ @@ -2105,10 +2105,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.033020Z", - "iopub.status.busy": "2024-03-13T13:31:12.032653Z", - "iopub.status.idle": "2024-03-13T13:31:12.102864Z", - "shell.execute_reply": "2024-03-13T13:31:12.102438Z" + "iopub.execute_input": "2024-04-04T17:07:21.832462Z", + "iopub.status.busy": "2024-04-04T17:07:21.832102Z", + "iopub.status.idle": "2024-04-04T17:07:21.838888Z", + "shell.execute_reply": "2024-04-04T17:07:21.838432Z" } }, "outputs": [ @@ -2359,10 +2359,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.105008Z", - "iopub.status.busy": "2024-03-13T13:31:12.104664Z", - "iopub.status.idle": "2024-03-13T13:31:12.128741Z", - "shell.execute_reply": "2024-03-13T13:31:12.128238Z" + "iopub.execute_input": "2024-04-04T17:07:21.840733Z", + "iopub.status.busy": "2024-04-04T17:07:21.840445Z", + "iopub.status.idle": "2024-04-04T17:07:21.864359Z", + "shell.execute_reply": "2024-04-04T17:07:21.863848Z" } }, "outputs": [ @@ -3427,10 +3427,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.131547Z", - "iopub.status.busy": "2024-03-13T13:31:12.131160Z", - "iopub.status.idle": "2024-03-13T13:31:12.134016Z", - "shell.execute_reply": "2024-03-13T13:31:12.133569Z" + "iopub.execute_input": "2024-04-04T17:07:21.867349Z", + "iopub.status.busy": "2024-04-04T17:07:21.866965Z", + "iopub.status.idle": "2024-04-04T17:07:21.869845Z", + "shell.execute_reply": "2024-04-04T17:07:21.869379Z" } }, "outputs": [], @@ -3443,17 +3443,17 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.135867Z", - "iopub.status.busy": "2024-03-13T13:31:12.135611Z", - "iopub.status.idle": "2024-03-13T13:31:12.237774Z", - "shell.execute_reply": "2024-03-13T13:31:12.237273Z" + "iopub.execute_input": "2024-04-04T17:07:21.871513Z", + "iopub.status.busy": "2024-04-04T17:07:21.871370Z", + "iopub.status.idle": "2024-04-04T17:07:21.973078Z", + "shell.execute_reply": "2024-04-04T17:07:21.972589Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" + "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" ] }, "execution_count": 26, @@ -3480,17 +3480,17 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.239730Z", - "iopub.status.busy": "2024-03-13T13:31:12.239464Z", - "iopub.status.idle": "2024-03-13T13:31:12.347645Z", - "shell.execute_reply": "2024-03-13T13:31:12.347118Z" + "iopub.execute_input": "2024-04-04T17:07:21.974949Z", + "iopub.status.busy": "2024-04-04T17:07:21.974795Z", + "iopub.status.idle": "2024-04-04T17:07:22.085126Z", + "shell.execute_reply": "2024-04-04T17:07:22.084593Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" + "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" ] }, "execution_count": 27, @@ -3543,10 +3543,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.349750Z", - "iopub.status.busy": "2024-03-13T13:31:12.349416Z", - "iopub.status.idle": "2024-03-13T13:31:12.355929Z", - "shell.execute_reply": "2024-03-13T13:31:12.355535Z" + "iopub.execute_input": "2024-04-04T17:07:22.087391Z", + "iopub.status.busy": "2024-04-04T17:07:22.087033Z", + "iopub.status.idle": "2024-04-04T17:07:22.093971Z", + "shell.execute_reply": "2024-04-04T17:07:22.093590Z" } }, "outputs": [], @@ -3561,10 +3561,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.357920Z", - "iopub.status.busy": "2024-03-13T13:31:12.357473Z", - "iopub.status.idle": "2024-03-13T13:31:12.374691Z", - "shell.execute_reply": "2024-03-13T13:31:12.374268Z" + "iopub.execute_input": "2024-04-04T17:07:22.095822Z", + "iopub.status.busy": "2024-04-04T17:07:22.095510Z", + "iopub.status.idle": "2024-04-04T17:07:22.112773Z", + "shell.execute_reply": "2024-04-04T17:07:22.112253Z" } }, "outputs": [ @@ -3665,8 +3665,8 @@ "\n", "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3713,12 +3713,12 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3763,13 +3763,13 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3813,13 +3813,13 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3862,14 +3862,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3912,14 +3912,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3963,13 +3963,13 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4011,15 +4011,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4062,14 +4062,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4112,15 +4112,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4162,14 +4162,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4212,15 +4212,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4261,15 +4261,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4312,14 +4312,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4361,16 +4361,16 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4411,16 +4411,16 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4461,16 +4461,16 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4510,18 +4510,18 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4558,24 +4558,24 @@ "\n", "\n", "\n", - "\n", + "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", - "\n", + "\n", "\n", "\n", "\n", @@ -4599,7 +4599,7 @@ "Regular(50, 2.75, 3.5, name='mass')
\n", "Regular(20, 0.026503, 0.993653, name='BDT')
\n", "
\n", - "Weight() Σ=WeightedSum(value=119980, variance=121198) (WeightedSum(value=120039, variance=121258) with flow)\n", + "Weight() Σ=WeightedSum(value=119954, variance=121134) (WeightedSum(value=120013, variance=121192) with flow)\n", "\n", "\n", "\n", @@ -4609,7 +4609,7 @@ "Hist(\n", " Regular(50, 2.75, 3.5, name='mass'),\n", " Regular(20, 0.026503, 0.993653, name='BDT'),\n", - " storage=Weight()) # Sum: WeightedSum(value=119980, variance=121198) (WeightedSum(value=120039, variance=121258) with flow)" + " storage=Weight()) # Sum: WeightedSum(value=119954, variance=121134) (WeightedSum(value=120013, variance=121192) with flow)" ] }, "execution_count": 29, @@ -4626,10 +4626,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:12.377393Z", - "iopub.status.busy": "2024-03-13T13:31:12.377224Z", - "iopub.status.idle": "2024-03-13T13:31:12.384803Z", - "shell.execute_reply": "2024-03-13T13:31:12.384340Z" + "iopub.execute_input": "2024-04-04T17:07:22.115882Z", + "iopub.status.busy": "2024-04-04T17:07:22.115336Z", + "iopub.status.idle": "2024-04-04T17:07:22.123652Z", + "shell.execute_reply": "2024-04-04T17:07:22.123154Z" } }, "outputs": [ @@ -4715,7 +4715,7 @@ " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.15254859e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.50337853e-01],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", @@ -4725,72 +4725,72 @@ " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 2.03697073e+00, 8.52364908e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 2.02675589e+00, 7.35778049e+00],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 1.04015350e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 1.20371086e+00, 0.00000000e+00, 9.24953020e-01,\n", - " 1.17137647e+00, 2.15692678e+00, 1.98076263e+00, 2.77261922e+01],\n", + " 7.06727711e-01, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", + " 0.00000000e+00, 1.08642592e+00, 0.00000000e+00, 1.07062400e+00,\n", + " 9.43766735e-01, 1.49419901e+00, 1.79156140e+00, 2.63327534e+01],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 9.06060339e-01, 3.55588275e+00, 0.00000000e+00,\n", - " 7.43749773e+00, 3.03178207e+00, 7.77656996e+00, 3.90291460e+00,\n", - " 4.62536161e+00, 1.27924819e+01, 8.22460918e+00, 1.22456860e+01,\n", - " 1.61327633e+01, 2.18382694e+01, 3.96500081e+01, 1.02595384e+02],\n", - " [0.00000000e+00, 0.00000000e+00, 1.45361787e+00, 6.49521739e+00,\n", - " 7.01975501e+00, 2.81550955e+01, 4.71831772e+01, 9.31777385e+01,\n", - " 8.75462995e+01, 9.73298400e+01, 9.24569296e+01, 8.27154190e+01,\n", - " 8.09041346e+01, 8.49994678e+01, 1.19661863e+02, 1.16203137e+02,\n", - " 1.28079423e+02, 1.56157227e+02, 2.43109364e+02, 3.39519248e+02],\n", - " [0.00000000e+00, 0.00000000e+00, 1.34750946e+01, 8.28954195e+01,\n", - " 1.72477724e+02, 3.18377513e+02, 6.03001441e+02, 9.57329507e+02,\n", - " 9.77703933e+02, 8.92779996e+02, 7.95688197e+02, 7.63997458e+02,\n", - " 7.38577838e+02, 6.77663551e+02, 6.98165640e+02, 7.05935499e+02,\n", - " 6.88284848e+02, 7.29643448e+02, 9.80897524e+02, 9.83721866e+02],\n", - " [0.00000000e+00, 2.95906467e+00, 4.22116610e+01, 2.74473603e+02,\n", - " 5.84292486e+02, 1.26347724e+03, 2.38500826e+03, 4.12989503e+03,\n", - " 3.82257554e+03, 3.31788184e+03, 3.10299336e+03, 2.69768397e+03,\n", - " 2.61133554e+03, 2.29520464e+03, 2.23428513e+03, 2.24915076e+03,\n", - " 2.16350661e+03, 2.16627674e+03, 2.45019074e+03, 2.34689032e+03],\n", - " [0.00000000e+00, 9.70861163e-01, 6.31349090e+01, 2.75197333e+02,\n", - " 6.95168479e+02, 1.38612566e+03, 2.83577591e+03, 4.72982503e+03,\n", - " 4.40024916e+03, 3.95998025e+03, 3.68777442e+03, 3.19452892e+03,\n", - " 2.99792047e+03, 2.57821335e+03, 2.81232086e+03, 2.43100838e+03,\n", - " 2.46541399e+03, 2.50231359e+03, 2.69622161e+03, 2.62941505e+03],\n", - " [0.00000000e+00, 0.00000000e+00, 1.26614485e+01, 9.80954169e+01,\n", - " 2.42782318e+02, 4.82634362e+02, 8.33062963e+02, 1.52476338e+03,\n", - " 1.47544063e+03, 1.32476145e+03, 1.22341310e+03, 1.14635428e+03,\n", - " 1.17418252e+03, 1.06812375e+03, 1.08758283e+03, 9.87373816e+02,\n", - " 1.04081253e+03, 1.04979105e+03, 1.34813312e+03, 1.34818675e+03],\n", - " [0.00000000e+00, 0.00000000e+00, 1.10853947e+00, 7.55342344e+00,\n", - " 2.40407709e+01, 4.11052540e+01, 9.27164216e+01, 1.35911792e+02,\n", - " 1.75147085e+02, 1.58641802e+02, 1.63327862e+02, 1.34850661e+02,\n", - " 1.65875302e+02, 1.51083397e+02, 2.09350637e+02, 1.77194644e+02,\n", - " 1.95171654e+02, 2.68557962e+02, 3.60083320e+02, 4.44382276e+02],\n", - " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.52401106e-01,\n", - " 1.34642334e+00, 4.50034571e+00, 6.53971933e+00, 7.00172519e+00,\n", - " 1.50763990e+01, 6.27413003e+00, 7.76240835e+00, 1.14267719e+01,\n", - " 1.40932110e+01, 1.15163264e+01, 1.82117761e+01, 3.06372020e+01,\n", - " 1.70851029e+01, 3.54778642e+01, 6.67263818e+01, 1.32080307e+02],\n", + " 0.00000000e+00, 1.03519768e+00, 2.43801687e+00, 0.00000000e+00,\n", + " 7.14784330e+00, 2.66616917e+00, 8.43634814e+00, 3.70675537e+00,\n", + " 5.18185577e+00, 1.22403939e+01, 8.36174195e+00, 1.32379338e+01,\n", + " 1.62620347e+01, 2.26479068e+01, 3.92200077e+01, 1.00753031e+02],\n", + " [0.00000000e+00, 0.00000000e+00, 1.90685594e+00, 5.95519474e+00,\n", + " 6.53689170e+00, 2.77584569e+01, 4.60320839e+01, 9.38720304e+01,\n", + " 8.65429306e+01, 9.45784881e+01, 9.01571297e+01, 8.17678968e+01,\n", + " 8.34130147e+01, 8.42860972e+01, 1.22433907e+02, 1.08684847e+02,\n", + " 1.24721273e+02, 1.54526216e+02, 2.49183971e+02, 3.41436637e+02],\n", + " [0.00000000e+00, 0.00000000e+00, 1.28795071e+01, 8.37985065e+01,\n", + " 1.71621755e+02, 3.10528034e+02, 6.02835922e+02, 9.53118357e+02,\n", + " 9.78465162e+02, 8.91443794e+02, 8.09553627e+02, 7.58980112e+02,\n", + " 7.49060728e+02, 6.86323641e+02, 7.04887962e+02, 7.14935861e+02,\n", + " 6.79129413e+02, 7.31711448e+02, 9.82528193e+02, 9.85871967e+02],\n", + " [0.00000000e+00, 2.87539781e+00, 4.21320060e+01, 2.75970471e+02,\n", + " 5.83166754e+02, 1.25530556e+03, 2.38569916e+03, 4.11259209e+03,\n", + " 3.83802311e+03, 3.29768785e+03, 3.10076971e+03, 2.72753763e+03,\n", + " 2.62216000e+03, 2.29098508e+03, 2.24101041e+03, 2.23188474e+03,\n", + " 2.18190774e+03, 2.15275257e+03, 2.45656632e+03, 2.33908675e+03],\n", + " [0.00000000e+00, 6.71326661e-01, 6.27091517e+01, 2.78977080e+02,\n", + " 6.92343364e+02, 1.38501800e+03, 2.81721125e+03, 4.71092387e+03,\n", + " 4.38721504e+03, 3.96805142e+03, 3.65299038e+03, 3.19390420e+03,\n", + " 2.98483018e+03, 2.58308871e+03, 2.78670999e+03, 2.43626017e+03,\n", + " 2.46199332e+03, 2.49664443e+03, 2.72496861e+03, 2.62068088e+03],\n", + " [0.00000000e+00, 0.00000000e+00, 1.20486401e+01, 9.28030360e+01,\n", + " 2.44399024e+02, 4.87343235e+02, 8.42398013e+02, 1.51395403e+03,\n", + " 1.49313449e+03, 1.32565050e+03, 1.22289171e+03, 1.14581023e+03,\n", + " 1.19384616e+03, 1.06148631e+03, 1.11129738e+03, 9.77581258e+02,\n", + " 1.03575697e+03, 1.04641237e+03, 1.35329863e+03, 1.35616073e+03],\n", + " [0.00000000e+00, 0.00000000e+00, 8.41634072e-01, 7.28263018e+00,\n", + " 2.37367727e+01, 4.17021238e+01, 9.00153020e+01, 1.34931915e+02,\n", + " 1.77075126e+02, 1.51960725e+02, 1.54851657e+02, 1.35768951e+02,\n", + " 1.65098312e+02, 1.53914762e+02, 2.04017518e+02, 1.78428898e+02,\n", + " 1.87773031e+02, 2.71877763e+02, 3.56097941e+02, 4.45759486e+02],\n", + " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.07771217e-01,\n", + " 9.57151547e-01, 4.22603922e+00, 7.80005279e+00, 6.44380987e+00,\n", + " 1.44879699e+01, 5.34357982e+00, 8.75550524e+00, 1.11045228e+01,\n", + " 1.44759158e+01, 1.24506145e+01, 1.83763274e+01, 3.10729548e+01,\n", + " 1.62397583e+01, 3.37072033e+01, 6.77575311e+01, 1.28754545e+02],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 8.29630456e-01, 0.00000000e+00,\n", - " 1.29426964e+00, 0.00000000e+00, 0.00000000e+00, 3.21148152e+00,\n", - " 2.28179518e+00, 4.30512141e+00, 1.33959770e+01, 2.61554416e+01],\n", + " 0.00000000e+00, 0.00000000e+00, 1.39024691e+00, 0.00000000e+00,\n", + " 1.31325197e+00, 0.00000000e+00, 0.00000000e+00, 3.65666527e+00,\n", + " 1.77103275e+00, 3.93960293e+00, 1.27613369e+01, 2.58586152e+01],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 1.77334502e+00, 1.00736188e+01],\n", + " 0.00000000e+00, 0.00000000e+00, 2.17971154e+00, 1.19687339e+01],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.18119797e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 2.44536050e+00],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.52477544e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.43595603e+00],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", @@ -4800,7 +4800,7 @@ " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.71146555e-01],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 8.67328510e-01],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", diff --git a/advanced-python/45DemoReweighting.html b/advanced-python/45DemoReweighting.html index 670ccb0f..1ca7f56d 100644 --- a/advanced-python/45DemoReweighting.html +++ b/advanced-python/45DemoReweighting.html @@ -668,7 +668,7 @@

train part of original distribution 
-KS over  hSPD  =  0.5213593233830744
+KS over  hSPD  =  0.5218828358208851
@@ -676,7 +676,7 @@

train part of original distribution 
-KS over  pt_b  =  0.21920619900333893
+KS over  pt_b  =  0.21717579104315676

@@ -684,7 +684,7 @@

train part of original distribution 
-KS over  pt_phi  =  0.40479750248768276
+KS over  pt_phi  =  0.3993181990050986

@@ -692,7 +692,7 @@

train part of original distribution 
-KS over  vchi2_b  =  0.4051449253668853
+KS over  vchi2_b  =  0.40324804974507217

@@ -700,7 +700,7 @@

train part of original distribution 
-KS over  mu_pt_sum  =  0.21920619900333893
+KS over  mu_pt_sum  =  0.21717579104315676

@@ -726,8 +726,8 @@

test part for target distribution 
-KS over  hSPD  =  0.5189527640365713
-KS over  pt_b  =  0.2089595773173551
+KS over  hSPD  =  0.5159384338742878
+KS over  pt_b  =  0.21554964558815431

@@ -735,8 +735,8 @@

test part for target distribution 
-KS over  pt_phi  =  0.3946819947769732
-KS over  vchi2_b  =  0.40399063048018274
+KS over  pt_phi  =  0.4104827132996398
+KS over  vchi2_b  =  0.4108132195493763

@@ -744,7 +744,7 @@

test part for target distribution 
-KS over  mu_pt_sum  =  0.2089595773173551
+KS over  mu_pt_sum  =  0.21554964558815431

@@ -785,8 +785,8 @@

Bins-based reweighting in n dimensions 
-KS over  hSPD  =  0.405057123154817
-KS over  pt_b  =  0.11086631644296868
+KS over  hSPD  =  0.4086372288817384
+KS over  pt_b  =  0.11524614329987332

@@ -794,7 +794,7 @@

Bins-based reweighting in n dimensions 
-KS over  pt_phi  =  0.27074011685835464
+KS over  pt_phi  =  0.29052956650700673

@@ -802,8 +802,8 @@

Bins-based reweighting in n dimensions 
-KS over  vchi2_b  =  0.3431452923252232
-KS over  mu_pt_sum  =  0.11086631644296868
+KS over  vchi2_b  =  0.34762371373888823
+KS over  mu_pt_sum  =  0.11524614329987332

@@ -838,8 +838,8 @@

Gradient Boosted Reweighter 
-KS over  hSPD  =  0.030957383325373233
-KS over  pt_b  =  0.02453712385921547
+KS over  hSPD  =  0.062191322804962534
+KS over  pt_b  =  0.02290180011444387

@@ -847,8 +847,8 @@

Gradient Boosted Reweighter 
-KS over  pt_phi  =  0.03469879539338025
-KS over  vchi2_b  =  0.019061583339430754
+KS over  pt_phi  =  0.02018562790078071
+KS over  vchi2_b  =  0.04130784163956558

@@ -856,7 +856,7 @@

Gradient Boosted Reweighter 
-KS over  mu_pt_sum  =  0.02453712385921547
+KS over  mu_pt_sum  =  0.02290180011444387

@@ -899,9 +899,9 @@

Comparing some simple expressions: 
-No reweight   KS: 0.5189527640365713
-Bins reweight KS: 0.405057123154817
-GB Reweight   KS: 0.030957383325373233
+No reweight   KS: 0.5159384338742878
+Bins reweight KS: 0.4086372288817384
+GB Reweight   KS: 0.062191322804962534

@@ -917,7 +917,7 @@

Comparing some simple expressions: 
-No reweight   KS: 0.0884694650253885
+No reweight   KS: 0.08683084387257564

@@ -925,8 +925,8 @@

Comparing some simple expressions: 
-Bins reweight KS: 0.1138269436193508
-GB Reweight   KS: 0.017300916779655118
+Bins reweight KS: 0.11351012438861469
+GB Reweight   KS: 0.03768470021658643

@@ -942,7 +942,7 @@

Comparing some simple expressions: 
-No reweight   KS: 0.3696907133004498
+No reweight   KS: 0.3727820499913408

@@ -950,8 +950,8 @@

Comparing some simple expressions: 
-Bins reweight KS: 0.3372730315547786
-GB Reweight   KS: 0.025230038525767995
+Bins reweight KS: 0.33889401274963193
+GB Reweight   KS: 0.0438579762864475

@@ -967,7 +967,7 @@

Comparing some simple expressions: 
-No reweight   KS: 0.47876745644457097
+No reweight   KS: 0.4856678884535365

@@ -975,8 +975,8 @@

Comparing some simple expressions: 
-Bins reweight KS: 0.37528259330882197
-GB Reweight   KS: 0.019433958526403616
+Bins reweight KS: 0.3858813497268575
+GB Reweight   KS: 0.028515193484729195

@@ -992,7 +992,7 @@

Comparing some simple expressions: 
-No reweight   KS: 0.4924638899466583
+No reweight   KS: 0.4975556892378546

@@ -1000,8 +1000,8 @@

Comparing some simple expressions: 
-Bins reweight KS: 0.39974220667202987
-GB Reweight   KS: 0.025179886968241694
+Bins reweight KS: 0.40961552562276987
+GB Reweight   KS: 0.05423581502482233

@@ -1042,7 +1042,7 @@

GB-discrimination 
-original 0.9403367560985539
+original 0.9360648814189888
@@ -1050,7 +1050,7 @@

GB-discrimination 
-bins 0.9166386243534412
+bins 0.908961261755765

@@ -1058,7 +1058,7 @@

GB-discrimination 
-gb_weights 0.5031575990002415
+gb_weights 0.48213202925939225

@@ -1112,7 +1112,7 @@

What did just happen? 
-(513.213101537381, 68079.65269781963)
+(611.5279485309618, 71645.16379150192)

With such a high weight for a single event, this does not look desireable. And be aware of ad-hoc solutions: just clipping or removing weights is completely wrong as this would disturb the distribution completely.

@@ -1163,7 +1163,7 @@

Folding reweighter 
-KS over  hSPD  =  0.3075395675056824
+KS over  hSPD  =  0.3076088511194097
@@ -1171,7 +1171,7 @@

Folding reweighter 
-KS over  pt_b  =  0.18100233078140426
+KS over  pt_b  =  0.18109839008997453

@@ -1179,7 +1179,7 @@

Folding reweighter 
-KS over  pt_phi  =  0.3085139214375579
+KS over  pt_phi  =  0.3081635902708048

@@ -1187,7 +1187,7 @@

Folding reweighter 
-KS over  vchi2_b  =  0.2983985388987025
+KS over  vchi2_b  =  0.29960611606136356

@@ -1195,7 +1195,7 @@

Folding reweighter 
-KS over  mu_pt_sum  =  0.18100233078140426
+KS over  mu_pt_sum  =  0.18109839008997453

@@ -1234,7 +1234,7 @@

GB discrimination for reweighting rule 
-original 0.9367328699931634
+original 0.9365448467235359

@@ -1242,7 +1242,7 @@

GB discrimination for reweighting rule 
-2-folding 0.8270599644558083
+2-folding 0.8263863756662438

diff --git a/advanced-python/45DemoReweighting.ipynb b/advanced-python/45DemoReweighting.ipynb index daa99468..a261dbe3 100644 --- a/advanced-python/45DemoReweighting.ipynb +++ b/advanced-python/45DemoReweighting.ipynb @@ -27,10 +27,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:14.403885Z", - "iopub.status.busy": "2024-03-13T13:31:14.403722Z", - "iopub.status.idle": "2024-03-13T13:31:15.395138Z", - "shell.execute_reply": "2024-03-13T13:31:15.394635Z" + "iopub.execute_input": "2024-04-04T17:07:24.158492Z", + "iopub.status.busy": "2024-04-04T17:07:24.158322Z", + "iopub.status.idle": "2024-04-04T17:07:25.167028Z", + "shell.execute_reply": "2024-04-04T17:07:25.166480Z" } }, "outputs": [], @@ -56,10 +56,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:31:15.397517Z", - "iopub.status.busy": "2024-03-13T13:31:15.397196Z", - "iopub.status.idle": "2024-03-13T13:36:56.303757Z", - "shell.execute_reply": "2024-03-13T13:36:56.303259Z" + "iopub.execute_input": "2024-04-04T17:07:25.169579Z", + "iopub.status.busy": "2024-04-04T17:07:25.169270Z", + "iopub.status.idle": "2024-04-04T17:13:03.582792Z", + "shell.execute_reply": "2024-04-04T17:13:03.582200Z" } }, "outputs": [], @@ -96,10 +96,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:36:56.306117Z", - "iopub.status.busy": "2024-03-13T13:36:56.305824Z", - "iopub.status.idle": "2024-03-13T13:36:56.375861Z", - "shell.execute_reply": "2024-03-13T13:36:56.375374Z" + "iopub.execute_input": "2024-04-04T17:13:03.585456Z", + "iopub.status.busy": "2024-04-04T17:13:03.585079Z", + "iopub.status.idle": "2024-04-04T17:13:03.673190Z", + "shell.execute_reply": "2024-04-04T17:13:03.672736Z" } }, "outputs": [], @@ -120,10 +120,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:36:56.378180Z", - "iopub.status.busy": "2024-03-13T13:36:56.377804Z", - "iopub.status.idle": "2024-03-13T13:36:56.382051Z", - "shell.execute_reply": "2024-03-13T13:36:56.381601Z" + "iopub.execute_input": "2024-04-04T17:13:03.675444Z", + "iopub.status.busy": "2024-04-04T17:13:03.675263Z", + "iopub.status.idle": "2024-04-04T17:13:03.679833Z", + "shell.execute_reply": "2024-04-04T17:13:03.679302Z" } }, "outputs": [], @@ -158,10 +158,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:36:56.383749Z", - "iopub.status.busy": "2024-03-13T13:36:56.383599Z", - "iopub.status.idle": "2024-03-13T13:36:56.387289Z", - "shell.execute_reply": "2024-03-13T13:36:56.386856Z" + "iopub.execute_input": "2024-04-04T17:13:03.681915Z", + "iopub.status.busy": "2024-04-04T17:13:03.681557Z", + "iopub.status.idle": "2024-04-04T17:13:03.685848Z", + "shell.execute_reply": "2024-04-04T17:13:03.685347Z" } }, "outputs": [ @@ -186,10 +186,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:36:56.389117Z", - "iopub.status.busy": "2024-03-13T13:36:56.388827Z", - "iopub.status.idle": "2024-03-13T13:36:59.270547Z", - "shell.execute_reply": "2024-03-13T13:36:59.270041Z" + "iopub.execute_input": "2024-04-04T17:13:03.687843Z", + "iopub.status.busy": "2024-04-04T17:13:03.687426Z", + "iopub.status.idle": "2024-04-04T17:13:06.626066Z", + "shell.execute_reply": "2024-04-04T17:13:06.625487Z" } }, "outputs": [ @@ -255,10 +255,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:36:59.272717Z", - "iopub.status.busy": "2024-03-13T13:36:59.272361Z", - "iopub.status.idle": "2024-03-13T13:37:01.714035Z", - "shell.execute_reply": "2024-03-13T13:37:01.713502Z" + "iopub.execute_input": "2024-04-04T17:13:06.628092Z", + "iopub.status.busy": "2024-04-04T17:13:06.627875Z", + "iopub.status.idle": "2024-04-04T17:13:09.172312Z", + "shell.execute_reply": "2024-04-04T17:13:09.171709Z" } }, "outputs": [ @@ -266,40 +266,40 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.5213593233830744\n" + "KS over hSPD = 0.5218828358208851\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_b = 0.21920619900333893\n" + "KS over pt_b = 0.21717579104315676\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.40479750248768276\n" + "KS over pt_phi = 0.3993181990050986\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over vchi2_b = 0.4051449253668853\n" + "KS over vchi2_b = 0.40324804974507217\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.21920619900333893\n" + "KS over mu_pt_sum = 0.21717579104315676\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -324,10 +324,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:37:01.716052Z", - "iopub.status.busy": "2024-03-13T13:37:01.715723Z", - "iopub.status.idle": "2024-03-13T13:37:03.295376Z", - "shell.execute_reply": "2024-03-13T13:37:03.294950Z" + "iopub.execute_input": "2024-04-04T17:13:09.174401Z", + "iopub.status.busy": "2024-04-04T17:13:09.174045Z", + "iopub.status.idle": "2024-04-04T17:13:10.831451Z", + "shell.execute_reply": "2024-04-04T17:13:10.830944Z" } }, "outputs": [ @@ -335,28 +335,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.5189527640365713\n", - "KS over pt_b = 0.2089595773173551\n" + "KS over hSPD = 0.5159384338742878\n", + "KS over pt_b = 0.21554964558815431\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.3946819947769732\n", - "KS over vchi2_b = 0.40399063048018274\n" + "KS over pt_phi = 0.4104827132996398\n", + "KS over vchi2_b = 0.4108132195493763\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.2089595773173551\n" + "KS over mu_pt_sum = 0.21554964558815431\n" ] }, { "data": { - "image/png": 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" ] @@ -396,10 +396,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:37:03.297373Z", - "iopub.status.busy": "2024-03-13T13:37:03.297019Z", - "iopub.status.idle": "2024-03-13T13:37:09.408942Z", - "shell.execute_reply": "2024-03-13T13:37:09.408406Z" + "iopub.execute_input": "2024-04-04T17:13:10.833579Z", + "iopub.status.busy": "2024-04-04T17:13:10.833258Z", + "iopub.status.idle": "2024-04-04T17:13:17.107450Z", + "shell.execute_reply": "2024-04-04T17:13:17.106887Z" } }, "outputs": [ @@ -407,28 +407,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.405057123154817\n", - "KS over pt_b = 0.11086631644296868\n" + "KS over hSPD = 0.4086372288817384\n", + "KS over pt_b = 0.11524614329987332\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.27074011685835464\n" + "KS over pt_phi = 0.29052956650700673\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over vchi2_b = 0.3431452923252232\n", - "KS over mu_pt_sum = 0.11086631644296868\n" + "KS over vchi2_b = 0.34762371373888823\n", + "KS over mu_pt_sum = 0.11524614329987332\n" ] }, { "data": { - "image/png": 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" ] @@ -466,10 +466,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:37:09.411071Z", - "iopub.status.busy": "2024-03-13T13:37:09.410789Z", - "iopub.status.idle": "2024-03-13T13:41:10.200783Z", - "shell.execute_reply": "2024-03-13T13:41:10.200240Z" + "iopub.execute_input": "2024-04-04T17:13:17.109474Z", + "iopub.status.busy": "2024-04-04T17:13:17.109306Z", + "iopub.status.idle": "2024-04-04T17:17:36.148072Z", + "shell.execute_reply": "2024-04-04T17:17:36.147476Z" } }, "outputs": [ @@ -477,28 +477,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.030957383325373233\n", - "KS over pt_b = 0.02453712385921547\n" + "KS over hSPD = 0.062191322804962534\n", + "KS over pt_b = 0.02290180011444387\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.03469879539338025\n", - "KS over vchi2_b = 0.019061583339430754\n" + "KS over pt_phi = 0.02018562790078071\n", + "KS over vchi2_b = 0.04130784163956558\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.02453712385921547\n" + "KS over mu_pt_sum = 0.02290180011444387\n" ] }, { "data": { - "image/png": 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du7fB+NzcXIWGhsrb21v9+/dXenq61ftjx46VyWSy2W6//XZLzNKlS23e9/Pza5H+AQAAAGg7SLABANqcrKwsJSQkaPHixSooKFBkZKSio6NVVFRkN/7YsWOaMGGCIiMjVVBQoEWLFmnevHnavn27JWbHjh0qKSmxbP/617/k4eGhe++916qu66+/3iru448/btG+AgAAAHB/rMEGgNGMaHPWrl2r2NhYzZ49W5KUmpqqXbt2aePGjUpJSbGJT09PV9++fZWamipJGjx4sA4ePKg1a9Zo0qRJkqQePXpYHbNt2zZdccUVNgk2T09PRq0BAAAAsMIINgBAm1JTU6P8/HxFRUVZlUdFRWn//v12j8nLy7OJHz9+vA4ePKhz587ZPSYjI0P33XefrrzySqvyo0ePKiAgQMHBwbrvvvv0+eefN9je6upqVVVVWW0AAAAA2hcSbACANqW8vFy1tbXy9fW1Kvf19VVpaandY0pLS+3Gnz9/XuXl5TbxH3zwgf71r39ZRshdNHLkSG3evFm7du3Ss88+q9LSUkVERKiioqLe9qakpMjHx8eyBQYGNrarAAAAANoIpogCHUhs5gHL67kubAfQHEwmk9W+YRg2ZZeLt1cufT96LSQkRDfffLNVeXR0tOX10KFDFR4ergEDBuiFF15QUlKS3fMmJydbvVdVVUWSDQAAAGhnSLABANqUXr16ycPDw2a0WllZmc0otYv8/Pzsxnt6eqpnz55W5d988422bdum5cuXX7YtV155pYYOHaqjR4/WG2M2m2U2my9bFwAAAIC2iwQbAKBN8fLyUmhoqHJycnT33XdbynNycnTnnXfaPSY8PFyvvvqqVdnu3bsVFhamzp07W5X/5S9/UXV1tR588MHLtqW6ulpHjhxRZGRkE3rivMLi0y457+VYPzhll8vaAQAAALQW1mADALQ5SUlJeu6557Rp0yYdOXJEiYmJKioqUlxcnKTvp2VOnz7dEh8XF6cTJ04oKSlJR44c0aZNm5SRkaEFCxbY1J2RkaG77rrLZmSbJC1YsEC5ubk6duyY3n//fU2ePFlVVVWaMWNGy3UWAAAAgNtjBBsAoM2JiYlRRUWFli9frpKSEoWEhCg7O1tBQUGSpJKSEhUVFVnig4ODlZ2drcTERG3YsEEBAQFat26dJk2aZFXvZ599pn379mn37t12z/vFF1/o/vvvV3l5uXr37q1Ro0bpvffes5wXAAAAQMdEgq0DcNcpRLDGvxPgmPj4eMXHx9t9LzMz06ZszJgxOnToUIN1Dhw40PLwA3u2bdvmUBsBAGi3tsRcej01y3XtAAA3QYINAAAAAHBJ3eQZAKBRWIMNAAAAAAAAcEKTEmxpaWkKDg6Wt7e3QkNDtXfv3gbjc3NzFRoaKm9vb/Xv31/p6ek2Mdu3b9eQIUNkNps1ZMgQ7dy50+r9d955RxMnTlRAQIBMJpP+9re/2dRhGIaWLl2qgIAAdenSRWPHjtXhw4eb0kUAANDctsRc2gAAAIB2xOEEW1ZWlhISErR48WIVFBQoMjJS0dHRVotJ13Xs2DFNmDBBkZGRKigo0KJFizRv3jxt377dEpOXl6eYmBhNmzZNH374oaZNm6YpU6bo/ffft8R8/fXXGjZsmNavX19v21avXq21a9dq/fr1OnDggPz8/DRu3DidOXPG0W4CgEVs5gHLBgAA4AhHBydc9O6778rT01PDhw9v2QY2UWHxacsGAGhCgm3t2rWKjY3V7NmzNXjwYKWmpiowMFAbN260G5+enq6+ffsqNTVVgwcP1uzZszVr1iytWbPGEpOamqpx48YpOTlZgwYNUnJysn72s58pNTXVEhMdHa0VK1bonnvusXsewzCUmpqqxYsX65577lFISIheeOEFffPNN9qyZYuj3QQAAAAApzg6OOGiyspKTZ8+XT/72c9aqaUAAGc5lGCrqalRfn6+oqKirMqjoqK0f/9+u8fk5eXZxI8fP14HDx7UuXPnGoypr057jh07ptLSUqt6zGazxowZ41A9QHs299QSywYAAICW5ejghIt+9atfaerUqQoPD2+llgIAnOVQgq28vFy1tbXy9fW1Kvf19VVpaandY0pLS+3Gnz9/XuXl5Q3G1Fdnfee5eFxj66murlZVVZXVBgAAAADOasrgBEl6/vnn9f/+3//T448/3tJNBAA0I8+mHGQymaz2DcOwKbtc/A/LHa2zOdqWkpKiZcuWOXwOAAAAAGhIUwYnHD16VAsXLtTevXvl6dm4r2rV1dWqrq627DNoAABcw6ERbL169ZKHh4fNDaGsrMzmxnGRn5+f3XhPT0/17NmzwZj66qzvPJIcqic5OVmVlZWWrbi4uNHnc3csOgoAAAC4XmMHANTW1mrq1KlatmyZBg4c2Oj6U1JS5OPjY9kCAwOdbjMAwHEOJdi8vLwUGhqqnJwcq/KcnBxFRETYPSY8PNwmfvfu3QoLC1Pnzp0bjKmvTnuCg4Pl5+dnVU9NTY1yc3PrrcdsNqtbt25WGwAAAAA4y9HBCWfOnNHBgwf1yCOPyNPTU56enlq+fLk+/PBDeXp66q233rJ7nvY8aAAA2hKHp4gmJSVp2rRpCgsLU3h4uJ555hkVFRUpLi5O0vcf8CdPntTmzZslSXFxcVq/fr2SkpI0Z84c5eXlKSMjQ1u3brXUOX/+fN1yyy1atWqV7rzzTv3973/XG2+8oX379llizp49q//85z+W/WPHjqmwsFA9evRQ3759ZTKZlJCQoJUrV+raa6/Vtddeq5UrV+qKK67Q1KlTm3yB2pQtMa5uAdwQoxgBAABaX93BCXfffbelPCcnR3feeadNfLdu3fTxxx9blaWlpemtt97Syy+/rODgYLvnMZvNMpvNzdp2fn8EAMc5nGCLiYlRRUWFli9frpKSEoWEhCg7O1tBQUGSpJKSEqvHTgcHBys7O1uJiYnasGGDAgICtG7dOk2aNMkSExERoW3btmnJkiV67LHHNGDAAGVlZWnkyJGWmIMHD+qnP/2pZT8pKUmSNGPGDGVmZkqSfvvb3+rbb79VfHy8/vvf/2rkyJHavXu3unbt6mg3AQBAM4jNPGB5neFV5426fxSamtV6DQKAVuTI4IROnTopJCTE6vg+ffrI29vbphwA4H6a9JCD+Ph4xcfH233vYrKrrjFjxujQoUMN1jl58mRNnjy53vfHjh1reThCfUwmk5YuXaqlS5c2GAcAAAAALc3RwQkAgLarSQk2AAAAAMDlOTo4oS4GDwBA2+HQQw4AAAAAAAAAWGMEG4BmNffUEsvrp31XuLAlAAAAAAC0DhJsAACgxdRNuiuwu8vaAQAAALQkpogCAAAAAAAATiDBBgAAAAAAADiBKaIAGsVqmpdYXw0AAAAAgItIsAEAgFZRWHza8no467EBAACgHSHBBgAAWp1Vss1lrQAAAACaBwk2APXbEuPqFgAAAAAA4PZIsLVxsZkHLK8zvFzYEAAAAAAAgA6Kp4i2cXNPLbFsANCRpKWlKTg4WN7e3goNDdXevXsbjM/NzVVoaKi8vb3Vv39/paenW72fmZkpk8lks3333XdOnRcAgPYuNvOAZQOAjooEGwCgzcnKylJCQoIWL16sgoICRUZGKjo6WkVFRXbjjx07pgkTJigyMlIFBQVatGiR5s2bp+3bt1vFdevWTSUlJVabt7d3k88LAAAAoGMgwQYAaHPWrl2r2NhYzZ49W4MHD1ZqaqoCAwO1ceNGu/Hp6enq27evUlNTNXjwYM2ePVuzZs3SmjVrrOJMJpP8/PysNmfOi5bDaAkAAAC4ExJs7Uhh8WnLBgDtVU1NjfLz8xUVFWVVHhUVpf3799s9Ji8vzyZ+/PjxOnjwoM6dO2cpO3v2rIKCgnTNNdfojjvuUEFBgVPnlaTq6mpVVVVZbagfiTMAAAC0RTzkoC3iyY7oAKzXFdzlsnbA/ZSXl6u2tla+vr5W5b6+viotLbV7TGlpqd348+fPq7y8XP7+/ho0aJAyMzM1dOhQVVVV6amnntLo0aP14Ycf6tprr23SeSUpJSVFy5Yta2JvAQBwf/zeBgAk2NokRqihPeEXMjSVyWSy2jcMw6bscvF1y0eNGqVRo0ZZ3h89erRuuukmPf3001q3bl2Tz5ucnKykpCTLflVVlQIDA+uNBwAAAND2kGAD4PaYKoa6evXqJQ8PD5tRY2VlZTajyy7y8/OzG+/p6amePXvaPaZTp04aMWKEjh492uTzSpLZbJbZbL5svwAAAAC0XSTYADRJS4w8q5tIm9ssNaI98vLyUmhoqHJycnT33XdbynNycnTnnXfaPSY8PFyvvvqqVdnu3bsVFhamzp072z3GMAwVFhZq6NChTT4vAAAAgI6BBBsAoM1JSkrStGnTFBYWpvDwcD3zzDMqKipSXFycpO+nZZ48eVKbN2+WJMXFxWn9+vVKSkrSnDlzlJeXp4yMDG3dutVS57JlyzRq1Chde+21qqqq0rp161RYWKgNGzY0+rxoIqu1RRe4rBkAAABAU5FgA9Bi6o5ye9p3hQtbgvYmJiZGFRUVWr58uUpKShQSEqLs7GwFBQVJkkpKSlRUVGSJDw4OVnZ2thITE7VhwwYFBARo3bp1mjRpkiXm9OnT+uUvf6nS0lL5+Pjoxhtv1DvvvKObb7650eeF81iXEQAAAG0RCTYAQJsUHx+v+Ph4u+9lZmbalI0ZM0aHDh2qt74nn3xSTz75pFPnBQAAANAxkWAD2iGeNAsAAAAAQOvp5OoGAAAAAAAAAG0ZCTYAAAAAAADACUwRBQAAbik284DldcbMES5sCQAAANAwEmwA4AC+8AMAAAAAfogEGwCnFa4af9mYuaeW1Nnb5dT56tb1tO8Kp+pqLiTeAAAAAKDjYg02AAAAAAAAwAmMYAMAAAAANAtG9QPoqEiwAQAAAACaRXMuCwIAbQlTRAEAAAAAAAAnMIKtrdgS4+oWAO1P3f+vpma5rh0ALqvulCMAAADA3ZBgAwAALlVYfNrVTQAAAACc0qQpomlpaQoODpa3t7dCQ0O1d+/eBuNzc3MVGhoqb29v9e/fX+np6TYx27dv15AhQ2Q2mzVkyBDt3LnT4fPOnDlTJpPJahs1alRTuggAANzI3FNLrDYAAADAnTicYMvKylJCQoIWL16sgoICRUZGKjo6WkVFRXbjjx07pgkTJigyMlIFBQVatGiR5s2bp+3bt1ti8vLyFBMTo2nTpunDDz/UtGnTNGXKFL3//vsOn/fnP/+5SkpKLFt2drajXQTw/yssPm3ZAAAA4DhHBifs2LFD48aNU+/evdWtWzeFh4dr1y4eFAAAbYHDCba1a9cqNjZWs2fP1uDBg5WamqrAwEBt3LjRbnx6err69u2r1NRUDR48WLNnz9asWbO0Zs0aS0xqaqrGjRun5ORkDRo0SMnJyfrZz36m1NRUh89rNpvl5+dn2Xr06OFoF90SiQ6gfYnNPGDZANjHiDUAbZ2jgxPeeecdjRs3TtnZ2crPz9dPf/pTTZw4UQUFBa3ccgCAoxxKsNXU1Cg/P19RUVFW5VFRUdq/f7/dY/Ly8mzix48fr4MHD+rcuXMNxlys05Hz7tmzR3369NHAgQM1Z84clZWVOdJFAG6IqWEAAKAtcnRwQmpqqn77299qxIgRuvbaa7Vy5Upde+21evXVV1u55QAARzn0kIPy8nLV1tbK19fXqtzX11elpaV2jyktLbUbf/78eZWXl8vf37/emIt1Nva80dHRuvfeexUUFKRjx47pscce06233qr8/HyZzWabtlVXV6u6utqyX1VV1YirAACAC/FUaQBoEy4OEli4cKFVeUODE37owoULOnPmTLuZlQMA7VmTniJqMpms9g3DsCm7XPwPyxtT5+ViYmIufekICQlRWFiYgoKC9Nprr+mee+6xaVdKSoqWLVtWb7tdou4Xp6lZrmsH0EZYj2hjjRIAAOAemjI44Yf++Mc/6uuvv9aUKVPqjWHQAAC4B4emiPbq1UseHh42N4SysjKbG8dFfn5+duM9PT3Vs2fPBmMu1tmU80qSv7+/goKCdPToUbvvJycnq7Ky0rIVFxfXWxcAAAAAOMrRwQkXbd26VUuXLlVWVpb69OlTb1xKSop8fHwsW2BgoNNtBgA4zqEEm5eXl0JDQ5WTk2NVnpOTo4iICLvHhIeH28Tv3r1bYWFh6ty5c4MxF+tsynklqaKiQsXFxfL397f7vtlsVrdu3aw2d8Ii6AAAAEDb1NRBAtL3D0eIjY3VX/7yF912220NxjJoAADcg8NTRJOSkjRt2jSFhYUpPDxczzzzjIqKihQXFyfp+w/4kydPavPmzZKkuLg4rV+/XklJSZozZ47y8vKUkZGhrVu3WuqcP3++brnlFq1atUp33nmn/v73v+uNN97Qvn37Gn3es2fPaunSpZo0aZL8/f11/PhxLVq0SL169dLdd9/t1EUC0MxYQwpAc2J5BQBuqO4ggbrfR3JycnTnnXfWe9zWrVs1a9Ysbd26Vbfffvtlz2M2m+2uN+0OCleNt7we/ihLeQBo3xxOsMXExKiiokLLly9XSUmJQkJClJ2draCgIElSSUmJ1WOng4ODlZ2drcTERG3YsEEBAQFat26dJk2aZImJiIjQtm3btGTJEj322GMaMGCAsrKyNHLkyEaf18PDQx9//LE2b96s06dPy9/fXz/96U+VlZWlrl27NvkCAQAAAEBTODo4YevWrZo+fbqeeuopjRo1yjL6rUuXLvLx8XFZPwAAl9ekhxzEx8crPj7e7nuZmZk2ZWPGjNGhQ4carHPy5MmaPHlyk8/bpUsX7drFX0WADo1RLECHYfWAk8DuLmsHADTE0cEJf/rTn3T+/Hk9/PDDevjhhy3lM2bMsPs9q03h9zQA7ZxDa7ABAOAu0tLSFBwcLG9vb4WGhmrv3r0Nxufm5io0NFTe3t7q37+/0tPTrd5/9tlnFRkZqauuukpXXXWVbrvtNn3wwQdWMUuXLpXJZLLa/Pz8mr1vAID2Iz4+XsePH1d1dbXy8/N1yy23WN7LzMzUnj17LPt79uyRYRg2W5tPrgFAB0CCzc0UFp+2bAAA+7KyspSQkKDFixeroKBAkZGRio6OthoFUNexY8c0YcIERUZGqqCgQIsWLdK8efO0fft2S8yePXt0//336+2331ZeXp769u2rqKgonTx50qqu66+/XiUlJZbt448/btG+AgAAAHB/TZoiCgDOIIEMZ61du1axsbGaPXu2JCk1NVW7du3Sxo0blZKSYhOfnp6uvn37KjU1VZI0ePBgHTx4UGvWrLGsCfrSSy9ZHfPss8/q5Zdf1ptvvqnp06dbyj09PRm1BgAAAMAKCTYAuIy6az097bvChS2BJNXU1Cg/P18LFy60Ko+KitL+/fvtHpOXl6eoqCirsvHjxysjI0Pnzp1T586dbY755ptvdO7cOfXo0cOq/OjRowoICJDZbNbIkSO1cuVK9e/f38leodmwxg8AuKW6f2Ad7rJWAEDLIcEGwG1YLVrenPjC3a6Ul5ertrZWvr6+VuW+vr6Wp639UGlpqd348+fPq7y8XP7+/jbHLFy4UFdffbVuu+02S9nIkSO1efNmDRw4UKdOndKKFSsUERGhw4cPq2fPnnbPXV1drerqast+VVVVo/uKxrH60sYDDwAAAOACJNgAAG2SyWSy2jcMw6bscvH2yiVp9erV2rp1q/bs2SNvb29LeXR0tOX10KFDFR4ergEDBuiFF15QUlKS3fOmpKRo2bJll+9QIzHFGgAAAHA/JNjcWIuN5gGANqxXr17y8PCwGa1WVlZmM0rtIj8/P7vxnp6eNiPP1qxZo5UrV+qNN97QDTfc0GBbrrzySg0dOlRHjx6tNyY5Odkq+VZVVaXAwMAG6wUAAADQtvAUUQBAm+Ll5aXQ0FDl5ORYlefk5CgiIsLuMeHh4Tbxu3fvVlhYmNX6a3/4wx/0xBNP6PXXX1dYWNhl21JdXa0jR47YnWJ6kdlsVrdu3aw2AAAAAO0LCTYAQJuTlJSk5557Tps2bdKRI0eUmJiooqIixcXFSfp+1FjdJ3/GxcXpxIkTSkpK0pEjR7Rp0yZlZGRowYIFlpjVq1dryZIl2rRpk/r166fS0lKVlpbq7NmzlpgFCxYoNzdXx44d0/vvv6/JkyerqqpKM2bMaL3OAwAAAHA7TBEFALQ5MTExqqio0PLly1VSUqKQkBBlZ2crKChIklRSUqKioiJLfHBwsLKzs5WYmKgNGzYoICBA69at06RJkywxaWlpqqmp0eTJk63O9fjjj2vp0qWSpC+++EL333+/ysvL1bt3b40aNUrvvfee5bxoG2IzD1heZ8wc4cKWAAAAoL0gweZidX/Jl6S5LmoH0O7UfXJoax6LVhMfH6/4+Hi772VmZtqUjRkzRocOHaq3vuPHj1/2nNu2bWts8+AiVk8U5QnCAOCWfvgdKMNrzaUdPq8BtFEk2AB0LK5Mnlmde0G9YQAAAO2ZzcPcAru7pB0A0JxYgw0AAAAAAABwAiPYAABAu2Q1XbQR8azNBgAAgKZiBBsAAAAAAADgBEawAUAzsF5LZJdzlbEwOwAA6KAYTQygrSLBBgAA2r3CVeMv7fiusLz84ZPsAACu1ax/tASAVkSCzcVsnqADwDVc+XTRFsJfgAEAQFtQd81MAGirSLC5QN0vvXNd2A4ATmqHSTmgI6j7x62n64xmAwAAAJqKhxwAAAAAAAAATmAEWythjRegfbCa1h3Y3WXtAND8rP7/3tLd+k0eOAIAAIAGMIINAAAAAAAAcAIj2ADABXhCFuAeeNgQALivuk+AHv4ovy8BcG8k2AC0G3WfQDWc6ZsAAADtR52HS1n9zkfiDYCbIMEGAC2JJ40CAAAAQLtHgq0lWX2xXuCyZgBoZSTVgDav7ugISRpe9/9rHngAAK3uh5/LFnw+A3ATJNgAAACaii92AAAAEAm2FlX3ryxzdWkR5ad9V7igNQAAoDnEZh6wvM7wcmFDAAAA4DZIsAEAAFxGfX80U30PVGFkGwC0Cqupozx1FIALkWBzgbmnllw+CEDHwZptQPvA/8sA4D74QweAVtbJ1Q0AAAAAAAAA2jJGsAEAADRR3alJw+ubLgoAaHVWn88/eM9qLc2ZI1qlPQDaPxJsAODOmN4AtElWX+zqmzrK/9MA0CoK66zNJknioXMAWgAJNgAdFiNPADQnq4W26ym3+qwhgQ4ALlfIgxEANBMSbM2s7nDjuS5sB9DR1feFtr4vwADgVhxMvjHdCQAarzEPnSPxBsBRTXrIQVpamoKDg+Xt7a3Q0FDt3bu3wfjc3FyFhobK29tb/fv3V3p6uk3M9u3bNWTIEJnNZg0ZMkQ7d+50+LyGYWjp0qUKCAhQly5dNHbsWB0+fLgpXQTQjhQWn7ZsaD/c9V4ENKTu51FDn01W768ab9msYuopB+BeWuJ+hZbRqM/bLTGXNgCow+ERbFlZWUpISFBaWppGjx6tP/3pT4qOjtYnn3yivn372sQfO3ZMEyZM0Jw5c/Tiiy/q3XffVXx8vHr37q1JkyZJkvLy8hQTE6MnnnhCd999t3bu3KkpU6Zo3759GjlyZKPPu3r1aq1du1aZmZkaOHCgVqxYoXHjxunTTz9V165dnblOjdaYv4YAAJzjzvcioCnqjkCT6h8FX18yzfr3jzojLZowDdVqNJzXGoePB3BJS9yv4FpWfxRhlBuAOkyGYRiOHDBy5EjddNNN2rhxo6Vs8ODBuuuuu5SSkmIT/+ijj+qVV17RkSNHLGVxcXH68MMPlZeXJ0mKiYlRVVWV/vnPf1pifv7zn+uqq67S1q1bG3VewzAUEBCghIQEPfroo5Kk6upq+fr6atWqVfrVr3512b5VVVXJx8dHlZWV6tatmyOXxYK/IgNtU3NOI23Mem5NWv/NwS+37jBlrDk+V+1x13tRYzh7TbjPwBH1fr408HlitdxFncSdw18eWWMOraSl7jXNoSXuV5fDd5q2iQQd4L4a+7nq0Ai2mpoa5efna+HChVblUVFR2r9/v91j8vLyFBUVZVU2fvx4ZWRk6Ny5c+rcubPy8vKUmJhoE5Oamtro8x47dkylpaVW5zKbzRozZoz2799vN8FWXV2t6upqy35lZaWk7y9eU5397nyTjwXgOvuOljdbXVXfnLNb/tHJSofibQMd+2yq+fZsnUOb/rnmjIvndfBvOQ1y53uRPc19r+E+A0fU99n2p41v13vMr8ouPV3vbJ3yfct+Zr+uPpeScHWPveFqn0tBz91z6fWUzHrP3Wz+MtPx8zXlmFb08Ev5ltcbHgh1YUvcT0vca5pDS92vfojvNO1DfZ+xdVl9rrrh5xTQXjX2PuNQgq28vFy1tbXy9fW1Kvf19VVpaandY0pLS+3Gnz9/XuXl5fL396835mKdjTnvxf/aizlx4oTdtqWkpGjZsmU25YGBgXbjAcCl5tiuB9ZYL8Y3Yzua4MyZM/Lx8bl8YCO4873IHu41cE9v1fvOi07U1ahjnfgsa5KmnK+12+ggV3+mu6vmvNc0h5a6X/0Q95kOys0/p4D26HL3mSY9RdRkMlntG4ZhU3a5+B+WN6bO5oq5KDk5WUlJSZb9Cxcu6P/+7//Us2dPm2OqqqoUGBio4uJitxt63hroP/2n//S/Kf03DENnzpxRQEBAs7fLne9FdTlyr7mcjv6z2BCujX1cl/pxberX1q5NS95rmkNL3K/qaup9pq39O7cGroktroktrol97fm6NPY+41CCrVevXvLw8LD5i0tZWZnNX1ou8vPzsxvv6empnj17Nhhzsc7GnNfPz0/S93/1qfuXnYbaZjabZTabrcq6d+9uN/aibt26tbsfFkfQf/pP/+m/o5p7NIE734vsacq95nI6+s9iQ7g29nFd6se1qV9bujbuNHLtopa6X/2Qs/eZtvTv3Fq4Jra4Jra4Jva11+vSmPtMJ0cq9PLyUmhoqHJycqzKc3JyFBERYfeY8PBwm/jdu3crLCzMsoZAfTEX62zMeYODg+Xn52cVU1NTo9zc3HrbBgBoe9z5XgQAwEUtdb8CALgpw0Hbtm0zOnfubGRkZBiffPKJkZCQYFx55ZXG8ePHDcMwjIULFxrTpk2zxH/++efGFVdcYSQmJhqffPKJkZGRYXTu3Nl4+eWXLTHvvvuu4eHhYfz+9783jhw5Yvz+9783PD09jffee6/R5zUMw/j9739v+Pj4GDt27DA+/vhj4/777zf8/f2NqqoqR7tpo7Ky0pBkVFZWOl1XW0T/6T/9p//u1H93vhe1JHf8t3AXXBv7uC7149rUj2vTfFriftVc+He2xTWxxTWxxTWxj+tiGA4n2AzDMDZs2GAEBQUZXl5exk033WTk5uZa3psxY4YxZswYq/g9e/YYN954o+Hl5WX069fP2Lhxo02df/3rX43rrrvO6Ny5szFo0CBj+/btDp3XMAzjwoULxuOPP274+fkZZrPZuOWWW4yPP/64KV208d133xmPP/648d133zVLfW0N/af/9J/+u1v/3fVe1JLc9d/CHXBt7OO61I9rUz+uTfNqiftVc+Df2RbXxBbXxBbXxD6ui2GYDMPNnmcNAAAAAAAAtCEOrcEGAAAAAAAAwBoJNgAAAAAAAMAJJNgAAAAAAAAAJ5BgAwAAAAAAAJxAgq0R0tLSFBwcLG9vb4WGhmrv3r2ubpLTUlJSNGLECHXt2lV9+vTRXXfdpU8//dQqxjAMLV26VAEBAerSpYvGjh2rw4cPW8VUV1dr7ty56tWrl6688kr94he/0BdffNGaXWkWKSkpMplMSkhIsJS19/6fPHlSDz74oHr27KkrrrhCw4cPV35+vuX99tz/8+fPa8mSJQoODlaXLl3Uv39/LV++XBcuXLDEtKf+v/POO5o4caICAgJkMpn0t7/9zer95urrf//7X02bNk0+Pj7y8fHRtGnTdPr06RbuXcfRHu9FjmqOn+X2qrnu6+3Nxo0bdcMNN6hbt27q1q2bwsPD9c9//tPyfke8JvVp6u9CaJu4p1yydOlSmUwmq83Pz8/VzWp13GNtXe6azJw50+ZnZ9SoUa5pbCvh942GkWC7jKysLCUkJGjx4sUqKChQZGSkoqOjVVRU5OqmOSU3N1cPP/yw3nvvPeXk5Oj8+fOKiorS119/bYlZvXq11q5dq/Xr1+vAgQPy8/PTuHHjdObMGUtMQkKCdu7cqW3btmnfvn06e/as7rjjDtXW1rqiW01y4MABPfPMM7rhhhusyttz///73/9q9OjR6ty5s/75z3/qk08+0R//+Ed1797dEtOe+79q1Sqlp6dr/fr1OnLkiFavXq0//OEPevrppy0x7an/X3/9tYYNG6b169fbfb+5+jp16lQVFhbq9ddf1+uvv67CwkJNmzatxfvXEbTXe5GjmuNnub1qrvt6e3PNNdfo97//vQ4ePKiDBw/q1ltv1Z133mn5Rb8jXhN7nPldCG0P9xRb119/vUpKSizbxx9/7OomtTrusbYud00k6ec//7nVz052dnYrtrD18fvGZRho0M0332zExcVZlQ0aNMhYuHChi1rUMsrKygxJRm5urmEYhnHhwgXDz8/P+P3vf2+J+e677wwfHx8jPT3dMAzDOH36tNG5c2dj27ZtlpiTJ08anTp1Ml5//fXW7UATnTlzxrj22muNnJwcY8yYMcb8+fMNw2j//X/00UeNn/zkJ/W+3977f/vttxuzZs2yKrvnnnuMBx980DCM9t1/ScbOnTst+83V108++cSQZLz33nuWmLy8PEOS8e9//7uFe9X+dZR7kSOa8rPckTTlvt5RXHXVVcZzzz3HNfn/OfO7ENom7inWHn/8cWPYsGGuboZb4R5r64fXxDAMY8aMGcadd97pkva4C37fsMYItgbU1NQoPz9fUVFRVuVRUVHav3+/i1rVMiorKyVJPXr0kCQdO3ZMpaWlVn03m80aM2aMpe/5+fk6d+6cVUxAQIBCQkLazPV5+OGHdfvtt+u2226zKm/v/X/llVcUFhame++9V3369NGNN96oZ5991vJ+e+//T37yE7355pv67LPPJEkffvih9u3bpwkTJkhq//2vq7n6mpeXJx8fH40cOdISM2rUKPn4+LSp6+GOOtK9yBmN+VnuSJpyX2/vamtrtW3bNn399dcKDw/nmvz/nPldCG0P9xT7jh49qoCAAAUHB+u+++7T559/7uomuRU+D+q3Z88e9enTRwMHDtScOXNUVlbm6ia1Kn7fsObp6ga4s/LyctXW1srX19eq3NfXV6WlpS5qVfMzDENJSUn6yU9+opCQEEmy9M9e30+cOGGJ8fLy0lVXXWUT0xauz7Zt23To0CEdOHDA5r323v/PP/9cGzduVFJSkhYtWqQPPvhA8+bNk9ls1vTp09t9/x999FFVVlZq0KBB8vDwUG1trX73u9/p/vvvl9T+//3raq6+lpaWqk+fPjb19+nTp01dD3fUUe5FzmrMz3JH0dT7env18ccfKzw8XN99951+9KMfaefOnRoyZIjlF/2OeE0ucvZ3IbQ93FNsjRw5Ups3b9bAgQN16tQprVixQhERETp8+LB69uzp6ua5BT4P7IuOjta9996roKAgHTt2TI899phuvfVW5efny2w2u7p5LY7fN2yRYGsEk8lktW8Yhk1ZW/bII4/oo48+0r59+2zea0rf28L1KS4u1vz587V79255e3vXG9de+3/hwgWFhYVp5cqVkqQbb7xRhw8f1saNGzV9+nRLXHvtf1ZWll588UVt2bJF119/vQoLC5WQkKCAgADNmDHDEtde+29Pc/TVXnxbvR7uqL3fi5oL16n57+tt3XXXXafCwkKdPn1a27dv14wZM5Sbm2t5vyNeE6llfxeC++Pf9ZLo6GjL66FDhyo8PFwDBgzQCy+8oKSkJBe2zP3wc2MtJibG8jokJERhYWEKCgrSa6+9pnvuuceFLWsd/L5hiymiDejVq5c8PDxs/ppTVlZmk5Ftq+bOnatXXnlFb7/9tq655hpL+cUn5zTUdz8/P9XU1Oi///1vvTHuKj8/X2VlZQoNDZWnp6c8PT2Vm5urdevWydPT09L+9tp/f39/DRkyxKps8ODBlsVt2/u//29+8xstXLhQ9913n4YOHapp06YpMTFRKSkpktp//+tqrr76+fnp1KlTNvV/9dVXbep6uKOOcC9qDo35We4InLmvt1deXl768Y9/rLCwMKWkpGjYsGF66qmnOvQ1kZrndyG0PdxTLu/KK6/U0KFDdfToUVc3xW109M/LxvL391dQUFCH+Nnh9w37SLA1wMvLS6GhocrJybEqz8nJUUREhIta1TwMw9AjjzyiHTt26K233lJwcLDV+8HBwfLz87Pqe01NjXJzcy19Dw0NVefOna1iSkpK9K9//cvtr8/PfvYzffzxxyosLLRsYWFheuCBB1RYWKj+/fu36/6PHj3a5nHKn332mYKCgiS1/3//b775Rp06WX/8eXh46MKFC5Laf//raq6+hoeHq7KyUh988IEl5v3331dlZWWbuh7uqD3fi5pTY36W27PmuK93FIZhqLq6usNfk+b4XQhtD/eUy6uurtaRI0fk7+/v6qa4jY7+edlYFRUVKi4ubtc/O/y+cRmt9DCFNmvbtm1G586djYyMDOOTTz4xEhISjCuvvNI4fvy4q5vmlP/5n/8xfHx8jD179hglJSWW7ZtvvrHE/P73vzd8fHyMHTt2GB9//LFx//33G/7+/kZVVZUlJi4uzrjmmmuMN954wzh06JBx6623GsOGDTPOnz/vim45pe6Tswyjfff/gw8+MDw9PY3f/e53xtGjR42XXnrJuOKKK4wXX3zREtOe+z9jxgzj6quvNv7xj38Yx44dM3bs2GH06tXL+O1vf2uJaU/9P3PmjFFQUGAUFBQYkoy1a9caBQUFxokTJwzDaL6+/vznPzduuOEGIy8vz8jLyzOGDh1q3HHHHa3e3/aovd6LHNUcP8vtVXP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"text/plain": [ "
" ] @@ -531,10 +531,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:10.202808Z", - "iopub.status.busy": "2024-03-13T13:41:10.202517Z", - "iopub.status.idle": "2024-03-13T13:41:10.205934Z", - "shell.execute_reply": "2024-03-13T13:41:10.205453Z" + "iopub.execute_input": "2024-04-04T17:17:36.150056Z", + "iopub.status.busy": "2024-04-04T17:17:36.149863Z", + "iopub.status.idle": "2024-04-04T17:17:36.153577Z", + "shell.execute_reply": "2024-04-04T17:17:36.153166Z" } }, "outputs": [], @@ -556,10 +556,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:10.207879Z", - "iopub.status.busy": "2024-03-13T13:41:10.207508Z", - "iopub.status.idle": "2024-03-13T13:41:10.277440Z", - "shell.execute_reply": "2024-03-13T13:41:10.276964Z" + "iopub.execute_input": "2024-04-04T17:17:36.155542Z", + "iopub.status.busy": "2024-04-04T17:17:36.155133Z", + "iopub.status.idle": "2024-04-04T17:17:36.227372Z", + "shell.execute_reply": "2024-04-04T17:17:36.226887Z" } }, "outputs": [ @@ -567,9 +567,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.5189527640365713\n", - "Bins reweight KS: 0.405057123154817\n", - "GB Reweight KS: 0.030957383325373233\n" + "No reweight KS: 0.5159384338742878\n", + "Bins reweight KS: 0.4086372288817384\n", + "GB Reweight KS: 0.062191322804962534\n" ] } ], @@ -582,10 +582,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:10.279143Z", - "iopub.status.busy": "2024-03-13T13:41:10.278986Z", - "iopub.status.idle": "2024-03-13T13:41:10.517279Z", - "shell.execute_reply": "2024-03-13T13:41:10.516772Z" + "iopub.execute_input": "2024-04-04T17:17:36.229434Z", + "iopub.status.busy": "2024-04-04T17:17:36.229095Z", + "iopub.status.idle": "2024-04-04T17:17:36.472937Z", + "shell.execute_reply": "2024-04-04T17:17:36.472444Z" } }, "outputs": [ @@ -593,15 +593,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.0884694650253885\n" + "No reweight KS: 0.08683084387257564\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.1138269436193508\n", - "GB Reweight KS: 0.017300916779655118\n" + "Bins reweight KS: 0.11351012438861469\n", + "GB Reweight KS: 0.03768470021658643\n" ] } ], @@ -614,10 +614,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:10.519116Z", - "iopub.status.busy": "2024-03-13T13:41:10.518946Z", - "iopub.status.idle": "2024-03-13T13:41:10.759197Z", - "shell.execute_reply": "2024-03-13T13:41:10.758734Z" + "iopub.execute_input": "2024-04-04T17:17:36.474820Z", + "iopub.status.busy": "2024-04-04T17:17:36.474650Z", + "iopub.status.idle": "2024-04-04T17:17:36.719803Z", + "shell.execute_reply": "2024-04-04T17:17:36.719271Z" } }, "outputs": [ @@ -625,15 +625,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.3696907133004498\n" + "No reweight KS: 0.3727820499913408\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.3372730315547786\n", - "GB Reweight KS: 0.025230038525767995\n" + "Bins reweight KS: 0.33889401274963193\n", + "GB Reweight KS: 0.0438579762864475\n" ] } ], @@ -646,10 +646,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:10.761022Z", - "iopub.status.busy": "2024-03-13T13:41:10.760860Z", - "iopub.status.idle": "2024-03-13T13:41:10.998406Z", - "shell.execute_reply": "2024-03-13T13:41:10.997942Z" + "iopub.execute_input": "2024-04-04T17:17:36.721954Z", + "iopub.status.busy": "2024-04-04T17:17:36.721612Z", + "iopub.status.idle": "2024-04-04T17:17:36.968185Z", + "shell.execute_reply": "2024-04-04T17:17:36.967627Z" } }, "outputs": [ @@ -657,15 +657,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.47876745644457097\n" + "No reweight KS: 0.4856678884535365\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.37528259330882197\n", - "GB Reweight KS: 0.019433958526403616\n" + "Bins reweight KS: 0.3858813497268575\n", + "GB Reweight KS: 0.028515193484729195\n" ] } ], @@ -678,10 +678,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:11.000373Z", - "iopub.status.busy": "2024-03-13T13:41:11.000020Z", - "iopub.status.idle": "2024-03-13T13:41:11.240289Z", - "shell.execute_reply": "2024-03-13T13:41:11.239823Z" + "iopub.execute_input": "2024-04-04T17:17:36.970037Z", + "iopub.status.busy": "2024-04-04T17:17:36.969880Z", + "iopub.status.idle": "2024-04-04T17:17:37.212503Z", + "shell.execute_reply": "2024-04-04T17:17:37.212029Z" } }, "outputs": [ @@ -689,15 +689,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.4924638899466583\n" + "No reweight KS: 0.4975556892378546\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.39974220667202987\n", - "GB Reweight KS: 0.025179886968241694\n" + "Bins reweight KS: 0.40961552562276987\n", + "GB Reweight KS: 0.05423581502482233\n" ] } ], @@ -723,10 +723,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:11.242102Z", - "iopub.status.busy": "2024-03-13T13:41:11.241949Z", - "iopub.status.idle": "2024-03-13T13:41:28.527872Z", - "shell.execute_reply": "2024-03-13T13:41:28.527405Z" + "iopub.execute_input": "2024-04-04T17:17:37.214526Z", + "iopub.status.busy": "2024-04-04T17:17:37.214182Z", + "iopub.status.idle": "2024-04-04T17:17:55.084342Z", + "shell.execute_reply": "2024-04-04T17:17:55.083867Z" } }, "outputs": [ @@ -734,21 +734,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "original 0.9403367560985539\n" + "original 0.9360648814189888\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "bins 0.9166386243534412\n" + "bins 0.908961261755765\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "gb_weights 0.5031575990002415\n" + "gb_weights 0.48213202925939225\n" ] } ], @@ -800,10 +800,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:28.530129Z", - "iopub.status.busy": "2024-03-13T13:41:28.529530Z", - "iopub.status.idle": "2024-03-13T13:41:28.916463Z", - "shell.execute_reply": "2024-03-13T13:41:28.915934Z" + "iopub.execute_input": "2024-04-04T17:17:55.086501Z", + "iopub.status.busy": "2024-04-04T17:17:55.085991Z", + "iopub.status.idle": "2024-04-04T17:17:55.481918Z", + "shell.execute_reply": "2024-04-04T17:17:55.481356Z" } }, "outputs": [ @@ -819,7 +819,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -839,17 +839,17 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:28.918363Z", - "iopub.status.busy": "2024-03-13T13:41:28.918199Z", - "iopub.status.idle": "2024-03-13T13:41:28.922000Z", - "shell.execute_reply": "2024-03-13T13:41:28.921605Z" + "iopub.execute_input": "2024-04-04T17:17:55.484076Z", + "iopub.status.busy": "2024-04-04T17:17:55.483712Z", + "iopub.status.idle": "2024-04-04T17:17:55.487527Z", + "shell.execute_reply": "2024-04-04T17:17:55.487147Z" } }, "outputs": [ { "data": { "text/plain": [ - "(513.213101537381, 68079.65269781963)" + "(611.5279485309618, 71645.16379150192)" ] }, "execution_count": 19, @@ -894,10 +894,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:41:28.923878Z", - "iopub.status.busy": "2024-03-13T13:41:28.923564Z", - "iopub.status.idle": "2024-03-13T13:45:51.950968Z", - "shell.execute_reply": "2024-03-13T13:45:51.950460Z" + "iopub.execute_input": "2024-04-04T17:17:55.489332Z", + "iopub.status.busy": "2024-04-04T17:17:55.489174Z", + "iopub.status.idle": "2024-04-04T17:22:45.279663Z", + "shell.execute_reply": "2024-04-04T17:22:45.279129Z" } }, "outputs": [ @@ -912,40 +912,40 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.3075395675056824\n" + "KS over hSPD = 0.3076088511194097\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_b = 0.18100233078140426\n" + "KS over pt_b = 0.18109839008997453\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.3085139214375579\n" + "KS over pt_phi = 0.3081635902708048\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over vchi2_b = 0.2983985388987025\n" + "KS over vchi2_b = 0.29960611606136356\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.18100233078140426\n" + "KS over mu_pt_sum = 0.18109839008997453\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -983,10 +983,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:45:51.952999Z", - "iopub.status.busy": "2024-03-13T13:45:51.952822Z", - "iopub.status.idle": "2024-03-13T13:46:49.587806Z", - "shell.execute_reply": "2024-03-13T13:46:49.587322Z" + "iopub.execute_input": "2024-04-04T17:22:45.281742Z", + "iopub.status.busy": "2024-04-04T17:22:45.281415Z", + "iopub.status.idle": "2024-04-04T17:23:52.200083Z", + "shell.execute_reply": "2024-04-04T17:23:52.199579Z" } }, "outputs": [ @@ -994,14 +994,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "original 0.9367328699931634\n" + "original 0.9365448467235359\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2-folding 0.8270599644558083\n" + "2-folding 0.8263863756662438\n" ] } ], @@ -1027,10 +1027,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:49.589633Z", - "iopub.status.busy": "2024-03-13T13:46:49.589484Z", - "iopub.status.idle": "2024-03-13T13:46:49.971115Z", - "shell.execute_reply": "2024-03-13T13:46:49.970672Z" + "iopub.execute_input": "2024-04-04T17:23:52.202160Z", + "iopub.status.busy": "2024-04-04T17:23:52.201826Z", + "iopub.status.idle": "2024-04-04T17:23:52.594627Z", + "shell.execute_reply": "2024-04-04T17:23:52.594166Z" } }, "outputs": [ @@ -1046,7 +1046,7 @@ }, { "data": { - "image/png": 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XKzk5WWvXrpUkJSUlKTs7W8nJyXI6nZoxY4aqq6u7PV5ZWZni4uL8L36RGACAgS2kq3Xa29u1d+9eFRQUBLQXFBSosrJSkpSdna2jR4/qiy++0JkzZ1RRUaHx48d32+fixYvV3Nzsf9XX14eyZAAAYDIhnRDb1NSkjo4OuVyugHaXy6WGhoZvDjh4sJ566ilNmTJFhmGooKBAN910U7d9Op3Ofl3NM+ahLefd5+DTM/uhEgAA7KlPVut89+eQDcMIaHO73XK73UH16fF45PF41NHREZIaAQCAOYX0tk5CQoIiIiL8oyRnNTY2dhpNCVZJSYlqampUVVXVq34AAIC5hTScREVFKTMzs9PqG6/Xq9zc3FAeCgAADFBB39ZpaWnRgQMH/Nu1tbWqrq5WfHy8UlJSVFpaqqKiImVlZSknJ0fr1q1TXV2dFixY0KtCua0DAIA9OAzDMIL5wI4dO5Sfn9+pvbi4WOvXr5f0zUPYVqxYoSNHjig9PV3PPfecpkyZEpKCfT6f4uLi1NzcrNjY2JD0+W1MiAUAIPSC+f4OOpyEG+EEAADrCeb7Oyy/SnwhPB6PJkyYoOzs7HCXAgAA+pBlwgmrdQAAsAfLhBMAAGAPhBMAAGAqlgknzDkBAMAeLBNOmHMCAIA9WCacAAAAeyCcAAAAU7FMOGHOCQAA9mCZcMKcEwAA7MEy4QQAANgD4QQAAJgK4QQAAJgK4QQAAJiKZcIJq3UAALAHy4QTVusAAGAPlgknAADAHggnAADAVAgnAADAVAgnAADAVAgnAADAVCwTTlhKDACAPVgmnLCUGAAAe7BMOAEAAPZAOAEAAKZCOAEAAKZCOAEAAKZCOAEAAKZCOAEAAKZCOAEAAKZCOAEAAKZimXDCE2IBALAHy4QTnhALAIA9WCacAAAAeyCcAAAAUyGcAAAAUyGcAAAAUyGcAAAAUyGcAAAAUyGcAAAAUyGcAAAAUyGcAAAAUwlLOBk8eLAmT56syZMna/78+eEoAQAAmNTgcBz0kksuUXV1dTgODQAATI7bOgAAwFSCDicVFRWaNWuWEhMT5XA4tHnz5k77rFmzRmlpaYqOjlZmZqZ27doV8L7P51NmZqZuuOEG7dy584KLBwAAA0/Q4aS1tVUZGRlavXp1l+9v3LhRixYt0pIlS7Rv3z7l5eXJ7Xarrq7Ov8/Bgwe1d+9evfjii7rzzjvl8/ku/C8AAAADStDhxO12a/ny5SosLOzy/VWrVmnevHmaP3++xo8fr/LyciUnJ2vt2rX+fRITEyVJ6enpmjBhgv7nf/6n2+O1tbXJ5/MFvAAAwMAV0jkn7e3t2rt3rwoKCgLaCwoKVFlZKUn64osv1NbWJkk6dOiQampqdNlll3XbZ1lZmeLi4vyv5OTkUJYMAABMJqThpKmpSR0dHXK5XAHtLpdLDQ0NkqSPPvpIWVlZysjI0E033aTnn39e8fHx3fa5ePFiNTc3+1/19fWhLBkAAJhMnywldjgcAduGYfjbcnNz9f777/e4L6fTKafTKY/HI4/Ho46OjpDWCgAAzCWkIycJCQmKiIjwj5Kc1djY2Gk0JVglJSWqqalRVVVVr/oBAADmFtJwEhUVpczMTHm93oB2r9er3NzcUB4KAAAMUEHf1mlpadGBAwf827W1taqurlZ8fLxSUlJUWlqqoqIiZWVlKScnR+vWrVNdXZ0WLFjQq0K5rQMAgD04DMMwgvnAjh07lJ+f36m9uLhY69evl/TNQ9hWrFihI0eOKD09Xc8995ymTJkSkoJ9Pp/i4uLU3Nys2NjYkPT5bWMe2nLefQ4+PTPkxwUAYCAL5vs76HASboQTAACsJ5jvb8v8to7H49GECROUnZ0d7lIAAEAfskw4YbUOAAD2YJlwAgAA7IFwAgAATMUy4YQ5JwAA2INlwglzTgAAsAfLhBMAAGAPhBMAAGAqhBMAAGAqlgknTIgFAMAeeHz9d/Tk8fU9wSPuAQD4PwPy8fUAAMAeCCcAAMBUCCcAAMBULBNOmBALAIA9WCac8IRYAADswTLhBAAA2APhBAAAmArhBAAAmArhBAAAmArhBAAAmIplwglLiQEAsAfLhBOWEgMAYA+WCScAAMAeCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBULBNOeEIsAAD2YJlwwhNiAQCwB8uEEwAAYA+Dw13AQDXmoS3n3efg0zP7oRIAAKyFkRMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqYQsnX331lVJTU/XAAw+EqwQAAGBCYQsnTz75pK699tpwHR4AAJhUWMLJ/v379d///d+aMWNGOA4PAABMLOhwUlFRoVmzZikxMVEOh0ObN2/utM+aNWuUlpam6OhoZWZmateuXQHvP/DAAyorK7vgogEAwMAVdDhpbW1VRkaGVq9e3eX7Gzdu1KJFi7RkyRLt27dPeXl5crvdqqurkyS99tprGjdunMaNG9e7ygEAwIAU9A//ud1uud3ubt9ftWqV5s2bp/nz50uSysvLtW3bNq1du1ZlZWV655139Pvf/17//M//rJaWFp06dUqxsbF69NFHu+yvra1NbW1t/m2fzxdsyQAAwEJCOuekvb1de/fuVUFBQUB7QUGBKisrJUllZWWqr6/XwYMHtXLlSt1zzz3dBpOz+8fFxflfycnJoSwZAACYTEjDSVNTkzo6OuRyuQLaXS6XGhoaLqjPxYsXq7m52f+qr68PRakAAMCkgr6t0xMOhyNg2zCMTm2SdNddd523L6fTKafTGarSAACAyYV05CQhIUERERGdRkkaGxs7jaYEy+PxaMKECcrOzu5VPwAAwNxCGk6ioqKUmZkpr9cb0O71epWbm9urvktKSlRTU6Oqqqpe9QMAAMwt6Ns6LS0tOnDggH+7trZW1dXVio+PV0pKikpLS1VUVKSsrCzl5ORo3bp1qqur04IFC3pVqMfjkcfjUUdHR6/6AQAA5uYwDMMI5gM7duxQfn5+p/bi4mKtX79e0jcPYVuxYoWOHDmi9PR0Pffcc5oyZUpICvb5fIqLi1Nzc7NiY2ND0ue3jXloS8j77M7Bp2f227EAAAinYL6/gw4n4UY4AQDAeoL5/g7bD/8BAAB0xTLhhNU6AADYg2XCCat1AACwB8uEEwAAYA+WCSfc1gEAwB4sE064rQMAgD1YJpwAAAB7IJwAAABTIZwAAABTCfq3dcJlIP62Tk+eRstTZAEAdmOZkRMmxAIAYA+WCScAAMAeCCcAAMBUCCcAAMBULBNOeEIsAAD2YJlwwoRYAADswTLhBAAA2APhBAAAmArhBAAAmArhBAAAmIplHl9vVzziHgBgN5YZOWEpMQAA9mCZcMJSYgAA7IHbOjbB7SEAgFVYZuQEAADYA+EEAACYCuEEAACYCuEEAACYChNi4cekWQCAGTByAgAATIWRkwGgJyMeAABYhWVGTnhCLAAA9mCZcMITYgEAsAfLhBMAAGAPhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqhBMAAGAqPL4eIccPCAIAeoNwgqDwOz4AgL7W77d1Tpw4oezsbE2ePFkTJ07Ur371q/4uAQAAmFi/j5wMGTJEO3fu1JAhQ/TVV18pPT1dhYWFGj58eH+XAgAATKjfR04iIiI0ZMgQSdLJkyfV0dEhwzD6uwwAAGBSQYeTiooKzZo1S4mJiXI4HNq8eXOnfdasWaO0tDRFR0crMzNTu3btCnj/yy+/VEZGhpKSkvTggw8qISHhgv8AAAAwsAQdTlpbW5WRkaHVq1d3+f7GjRu1aNEiLVmyRPv27VNeXp7cbrfq6ur8+1xyySX6z//8T9XW1uqVV17R0aNHuz1eW1ubfD5fwAsAAAxcQYcTt9ut5cuXq7CwsMv3V61apXnz5mn+/PkaP368ysvLlZycrLVr13ba1+VyadKkSaqoqOj2eGVlZYqLi/O/kpOTgy0ZAABYSEjnnLS3t2vv3r0qKCgIaC8oKFBlZaUk6ejRo/7RD5/Pp4qKCl1xxRXd9rl48WI1Nzf7X/X19aEsGQAAmExIV+s0NTWpo6NDLpcroN3lcqmhoUGSdOjQIc2bN0+GYcgwDN13332aNGlSt306nU45nc5QlgkAAEysT5YSOxyOgG3DMPxtmZmZqq6uDrpPj8cjj8ejjo6OUJQIAABMKqS3dRISEhQREeEfJTmrsbGx02hKsEpKSlRTU6Oqqqpe9QMAAMwtpCMnUVFRyszMlNfr1ezZs/3tXq9Xt9xySygPBYvj93cAAN0JOpy0tLTowIED/u3a2lpVV1crPj5eKSkpKi0tVVFRkbKyspSTk6N169aprq5OCxYs6FWh3NYBAMAeHEaQj2fdsWOH8vPzO7UXFxdr/fr1kr55CNuKFSt05MgRpaen67nnntOUKVNCUrDP51NcXJyam5sVGxsbkj6/jR+2Mw9GTgBg4Ajm+zvocBJuhBP7IJwAwMARzPd3v//w34Xito79MC8FAOyp33/470KxWgcAAHuwTDgBAAD2QDgBAACmYplw4vF4NGHCBGVnZ4e7FAAA0IcsE06YcwIAgD1YJpwAAAB7IJwAAABT4TknGPB4XgoAWItlRk6YcwIAgD1YJpwAAAB7IJwAAABTIZwAAABTIZwAAABTsUw44QmxAADYg2XCCat1AACwB8uEEwAAYA+EEwAAYCqEEwAAYCqEEwAAYCqEEwAAYCr88B8gfhwQAMzEYRiGEe4iguHz+RQXF6fm5mbFxsaGvP+efEnBnggnAHDhgvn+5rYOAAAwFcIJAAAwFcvMOQHCLVS3/Lg9BADnxsgJAAAwFcIJAAAwFcIJAAAwFcIJAAAwFcIJAAAwFcuEE4/HowkTJig7OzvcpQAAgD5kmXBSUlKimpoaVVVVhbsUAADQhywTTgAAgD0QTgAAgKkQTgAAgKnw+HrAonryOH0elQ/Aihg5AQAApsLICdDPGPEAgHNj5AQAAJgKIyeACfVkdAUABipGTgAAgKn0+8hJfX29ioqK1NjYqMGDB+uRRx7RX/zFX/R3GYAtML8FgBX1ezgZPHiwysvLNXnyZDU2Nurqq6/WjBkzdPHFF/d3KQAAwIT6PZyMGjVKo0aNkiSNGDFC8fHxOn78OOEEAABIuoA5JxUVFZo1a5YSExPlcDi0efPmTvusWbNGaWlpio6OVmZmpnbt2tVlX3v27NGZM2eUnJwcdOEAAGBgCnrkpLW1VRkZGbr77rs1Z86cTu9v3LhRixYt0po1a3T99dfr7//+7+V2u1VTU6OUlBT/fseOHdOdd96pX//61737CwD0uVDNXWEODICeCDqcuN1uud3ubt9ftWqV5s2bp/nz50uSysvLtW3bNq1du1ZlZWWSpLa2Ns2ePVuLFy9Wbm7uOY/X1tamtrY2/7bP5wu2ZADnwLJlAGYT0qXE7e3t2rt3rwoKCgLaCwoKVFlZKUkyDEN33XWXfvCDH6ioqOi8fZaVlSkuLs7/4hYQAAADW0jDSVNTkzo6OuRyuQLaXS6XGhoaJEn//u//ro0bN2rz5s2aPHmyJk+erPfff7/bPhcvXqzm5mb/q76+PpQlAwAAk+mT1ToOhyNg2zAMf9sNN9ygM2fO9Lgvp9Mpp9Mpj8cjj8ejjo6OkNYKAADMJaQjJwkJCYqIiPCPkpzV2NjYaTQlWCUlJaqpqVFVVVWv+gEAAOYW0nASFRWlzMxMeb3egHav13veia8AAADSBdzWaWlp0YEDB/zbtbW1qq6uVnx8vFJSUlRaWqqioiJlZWUpJydH69atU11dnRYsWNCrQrmtAwCAPQQdTvbs2aP8/Hz/dmlpqSSpuLhY69ev19y5c3Xs2DE9/vjjOnLkiNLT07V161alpqb2qtCSkhKVlJTI5/MpLi6uV30BAADzCjqcTJ06VYZhnHOfhQsXauHChRdcFAAAsK+QzjnpSx6PRxMmTFB2dna4SwEAAH3IMuGE1ToAANiDZcIJAACwhz55CBsAWAE/RAiYk2XCCUuJAXPjBwQBhIplbusw5wQAAHuwTDgBAAD2QDgBAACmQjgBAACmYplwwkPYAACwB8uEEybEAgBgD5ZZSgwAwWBpM2BdhBMAsCEeQAczs8xtHQAAYA+WCSdMiAUAwB4sE06YEAsAgD1YJpwAAAB7IJwAAABTIZwAAABTIZwAAABTIZwAAABTsUw4YSkxAAD2YJlwwlJiAADswTLhBAAA2APhBAAAmArhBAAAmArhBAAAmArhBAAAmMrgcBcAAPjGmIe2nHefg0/P7IdKgPBi5AQAAJgK4QQAAJiKZW7reDweeTwedXR0hLsUAH2IWxvWwn8v9AXLhJOSkhKVlJTI5/MpLi4u3OUAQFB68iUO4Bvc1gEAAKZimZETAAgHblsA/Y9wAgADDLeQYHXc1gEAAKZCOAEAAKZCOAEAAKZCOAEAAKbChFgA6CUmoAKhxcgJAAAwFUZOAFgOIxXAwBaWkZPZs2dr2LBh+vGPfxyOwwMAABMLSzi5//779fLLL4fj0AAAwOTCEk7y8/MVExMTjkMDAACTC3rOSUVFhZ555hnt3btXR44c0auvvqpbb701YJ81a9bomWee0ZEjR3TVVVepvLxceXl5oaoZAGAh/D4RghX0yElra6syMjK0evXqLt/fuHGjFi1apCVLlmjfvn3Ky8uT2+1WXV3dBRXY1tYmn88X8AIAAANX0OHE7XZr+fLlKiws7PL9VatWad68eZo/f77Gjx+v8vJyJScna+3atRdUYFlZmeLi4vyv5OTkC+oHAABYQ0jnnLS3t2vv3r0qKCgIaC8oKFBlZeUF9bl48WI1Nzf7X/X19aEoFQAAmFRIn3PS1NSkjo4OuVyugHaXy6WGhgb/9o033qj33ntPra2tSkpK0quvvqrs7Owu+3Q6nXI6naEsEwAAmFifPITN4XAEbBuGEdC2bdu2oPv0eDzyeDzq6OjodX0AAMC8QnpbJyEhQREREQGjJJLU2NjYaTQlWCUlJaqpqVFVVVWv+gEAAOYW0nASFRWlzMxMeb3egHav16vc3NxQHgoAAAxQQd/WaWlp0YEDB/zbtbW1qq6uVnx8vFJSUlRaWqqioiJlZWUpJydH69atU11dnRYsWNCrQrmtAwBA71nhuTNBh5M9e/YoPz/fv11aWipJKi4u1vr16zV37lwdO3ZMjz/+uI4cOaL09HRt3bpVqampvSq0pKREJSUl8vl8iouL61VfAADAvIIOJ1OnTpVhGOfcZ+HChVq4cOEFFwUAAOyrT1br9AVu6wAA+osVbn0MZGH54b8LwWodAADswTLhBAAA2APhBAAAmApzTgAAYTdQ53gM1L+rr1lm5IQ5JwAA2INlwgkAALAHwgkAADAV5pwAALrUk/kSQF+wzMgJc04AALAHy4QTAABgD4QTAABgKoQTAABgKoQTAABgKqzWAQALYQUNzmWgXB+WGTlhtQ4AAPZgmXACAADsgXACAABMhXACAABMhXACAABMhXACAABMhaXEAIABoydLaQ8+PbMfKkFvWGbkhKXEAADYg2XCCQAAsAfCCQAAMBXCCQAAMBXCCQAAMBXCCQAAMBXCCQAAMBXCCQAAMBXCCQAAMBWeEAsAsISePP21P/vpT1asuTcsM3LCE2IBALAHy4QTAABgD4QTAABgKoQTAABgKoQTAABgKoQTAABgKoQTAABgKoQTAABgKoQTAABgKoQTAABgKmEJJ2+88YauuOIKXX755fr1r38djhIAAIBJ9ftv65w+fVqlpaXavn27YmNjdfXVV6uwsFDx8fH9XQoAADChfh85effdd3XVVVdp9OjRiomJ0YwZM7Rt27b+LgMAAJhU0OGkoqJCs2bNUmJiohwOhzZv3txpnzVr1igtLU3R0dHKzMzUrl27/O8dPnxYo0eP9m8nJSXps88+u7DqAQDAgBN0OGltbVVGRoZWr17d5fsbN27UokWLtGTJEu3bt095eXlyu92qq6uTJBmG0ekzDoej2+O1tbXJ5/MFvAAAwMAV9JwTt9stt9vd7furVq3SvHnzNH/+fElSeXm5tm3bprVr16qsrEyjR48OGCk5dOiQrr322m77Kysr02OPPRZsmQAAWMKYh7aEuwTTCemck/b2du3du1cFBQUB7QUFBaqsrJQkXXPNNfrggw/02Wef6cSJE9q6datuvPHGbvtcvHixmpub/a/6+vpQlgwAAEwmpKt1mpqa1NHRIZfLFdDucrnU0NDwzQEHD9azzz6r/Px8nTlzRg8++KCGDx/ebZ9Op1NOpzOUZQIAABPrk6XE351DYhhGQNvNN9+sm2++Oag+PR6PPB6POjo6QlIjAAAwp5De1klISFBERIR/lOSsxsbGTqMpwSopKVFNTY2qqqp61Q8AADC3kIaTqKgoZWZmyuv1BrR7vV7l5uaG8lAAAGCACvq2TktLiw4cOODfrq2tVXV1teLj45WSkqLS0lIVFRUpKytLOTk5Wrdunerq6rRgwYJeFcptHQAA7CHocLJnzx7l5+f7t0tLSyVJxcXFWr9+vebOnatjx47p8ccf15EjR5Senq6tW7cqNTW1V4WWlJSopKREPp9PcXFxveoLAACYV9DhZOrUqV0+SO3bFi5cqIULF15wUQAAwL7C8qvEF8Lj8WjChAnKzs4OdykAAKAPWSacsFoHAAB7sEw4AQAA9kA4AQAApmKZcMKcEwAA7MEy4YQ5JwAA2INlwgkAALCHPvnhv7509hkrPp+vT/o/0/ZVn/QLABhYevI9ZNXvlL74jj3b5/melSZJDqMne5nIoUOHlJycHO4yAADABaivr1dSUtI597FcODlz5owOHz6smJgYORyOXvXl8/mUnJys+vp6xcbGhqhCnAvnPDw47/2Pc97/OOfh0dPzbhiGTpw4ocTERA0adO5ZJZa7rTNo0KDzJq5gxcbGciH3M855eHDe+x/nvP9xzsOjJ+e9p7+Nx4RYAABgKoQTAABgKrYOJ06nU0uXLpXT6Qx3KbbBOQ8Pznv/45z3P855ePTFebfchFgAADCw2XrkBAAAmA/hBAAAmArhBAAAmArhBAAAmArhBAAAmIqtw8maNWuUlpam6OhoZWZmateuXeEuacBatmyZHA5HwGvkyJHhLmtAqaio0KxZs5SYmCiHw6HNmzcHvG8YhpYtW6bExERddNFFmjp1qj788MPwFDuAnO+833XXXZ2u/euuuy48xQ4QZWVlys7OVkxMjEaMGKFbb71VH3/8ccA+XO+h1ZNzHspr3bbhZOPGjVq0aJGWLFmiffv2KS8vT263W3V1deEubcC66qqrdOTIEf/r/fffD3dJA0pra6syMjK0evXqLt9fsWKFVq1apdWrV6uqqkojR47U9OnTdeLEiX6udGA533mXpB/96EcB1/7WrVv7scKBZ+fOnSopKdE777wjr9er06dPq6CgQK2trf59uN5DqyfnXArhtW7Y1DXXXGMsWLAgoO3KK680HnrooTBVNLAtXbrUyMjICHcZtiHJePXVV/3bZ86cMUaOHGk8/fTT/raTJ08acXFxxosvvhiGCgem7553wzCM4uJi45ZbbglLPXbR2NhoSDJ27txpGAbXe3/47jk3jNBe67YcOWlvb9fevXtVUFAQ0F5QUKDKysowVTXw7d+/X4mJiUpLS9Ptt9+uTz75JNwl2UZtba0aGhoCrnmn06nvf//7XPP9YMeOHRoxYoTGjRune+65R42NjeEuaUBpbm6WJMXHx0vieu8P3z3nZ4XqWrdlOGlqalJHR4dcLldAu8vlUkNDQ5iqGtiuvfZavfzyy9q2bZt+9atfqaGhQbm5uTp27Fi4S7OFs9c113z/c7vd2rBhg95++209++yzqqqq0g9+8AO1tbWFu7QBwTAMlZaW6oYbblB6erokrve+1tU5l0J7rQ8OZcFW43A4ArYNw+jUhtBwu93+f0+cOFE5OTkaO3asfvvb36q0tDSMldkL13z/mzt3rv/f6enpysrKUmpqqrZs2aLCwsIwVjYw3Hffffqv//ov/du//Vun97je+0Z35zyU17otR04SEhIUERHRKUE3NjZ2StroGxdffLEmTpyo/fv3h7sUWzi7MoprPvxGjRql1NRUrv0Q+Ou//mu9/vrr2r59u5KSkvztXO99p7tz3pXeXOu2DCdRUVHKzMyU1+sNaPd6vcrNzQ1TVfbS1tamjz76SKNGjQp3KbaQlpamkSNHBlzz7e3t2rlzJ9d8Pzt27Jjq6+u59nvBMAzdd9992rRpk95++22lpaUFvM/1HnrnO+dd6c21btvbOqWlpSoqKlJWVpZycnK0bt061dXVacGCBeEubUB64IEHNGvWLKWkpKixsVHLly+Xz+dTcXFxuEsbMFpaWnTgwAH/dm1traqrqxUfH6+UlBQtWrRITz31lC6//HJdfvnleuqppzRkyBDdcccdYaza+s513uPj47Vs2TLNmTNHo0aN0sGDB/Xwww8rISFBs2fPDmPV1lZSUqJXXnlFr732mmJiYvwjJHFxcbrooovkcDi43kPsfOe8paUltNd6SNb8WJTH4zFSU1ONqKgo4+qrrw5YEoXQmjt3rjFq1CgjMjLSSExMNAoLC40PP/ww3GUNKNu3bzckdXoVFxcbhvHN8sqlS5caI0eONJxOpzFlyhTj/fffD2/RA8C5zvtXX31lFBQUGJdeeqkRGRlppKSkGMXFxUZdXV24y7a0rs63JOOll17y78P1HlrnO+ehvtYd//+gAAAApmDLOScAAMC8CCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBUCCcAAMBU/h+oXGiVe0uAEgAAAABJRU5ErkJggg==", + "image/png": 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", "text/plain": [ "
" ] diff --git a/advanced-python/50LikelihoodInference.html b/advanced-python/50LikelihoodInference.html index c052f363..ffe276d3 100644 --- a/advanced-python/50LikelihoodInference.html +++ b/advanced-python/50LikelihoodInference.html @@ -724,7 +724,7 @@

Loss< 
 FitResult of
-<UnbinnedNLL model=[<zfit.<class 'zfit.models.dist_tfp.Gauss'>  params=[mu, sigma]] data=[<zfit.core.data.Data object at 0x7f640cf5cc90>] constraints=[]>
+<UnbinnedNLL model=[<zfit.<class 'zfit.models.dist_tfp.Gauss'>  params=[mu, sigma]] data=[<zfit.core.data.Data object at 0x7f7e57b12810>] constraints=[]>
 with
 <Minuit Minuit tol=0.001>
 
@@ -783,23 +783,23 @@ 
Fixing parameters
 
 FitResult of
-<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7f641077de90>] constraints=[]>
+<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7f7e8c7d04d0>] constraints=[]>
 with
 <Minuit Minuit tol=0.001>
 
 ╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕
 │  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │
 ╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡
-│  True   │    True     │      False       │ 0.00012 │            -49419.77 |  9810.432 │
+│  True   │    True     │      False       │ 1.7e-05 │            -49723.55 |  9828.313 │
 ╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛
 
 Parameters
 name         value  (rounded)    at limit
 ---------  ------------------  ----------
-bkg_yield             5970.09       False
-sig_yield             132.774       False
-lambda               -1.07835       False
-mu                    3.10916       False
+bkg_yield             6014.71       False
+sig_yield             123.234       False
+lambda              -0.985693       False
+mu                    3.09807       False
@@ -855,7 +855,7 @@

Fixing parameters 
  of
-<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7f641077de90>] constraints=[]>
+<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7f7e8c7d04d0>] constraints=[]>
 with
 <Minuit Minuit tol=0.001>
 
@@ -894,7 +894,7 @@ 
Fixing parameters
 
-       │ 0.00012 │            -49419.77 |  9810.432 │
+       │ 1.7e-05 │            -49723.55 |  9828.313 │
 ╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛
@@ -914,7 +914,7 @@

Fixing parameters
 name         value  (rounded)        hesse               errors         minuit_minos    at limit
 ---------  ------------------  -----------  -------------------  -------------------  ----------
-bkg_yield             5970.09  +/-      81  -     81   +     80  -     81   +     80       False
+bkg_yield             6014.71  +/-      81  -     80   +     82  -     80   +     82       False

@@ -923,7 +923,7 @@

Fixing parameters 
 
-sig_yield             132.774  +/-      26  -     25   +     26  -     25   +     26       False
+sig_yield             123.234  +/-      26  -     26   +     26  -     26   +     26       False

@@ -932,7 +932,7 @@

Fixing parameters 
 
-lambda               -1.07835  +/-   0.065  -  0.064   +  0.066  -  0.064   +  0.066       False
+lambda              -0.985693  +/-   0.065  -  0.065   +  0.064  -  0.065   +  0.064       False

@@ -941,7 +941,7 @@

Fixing parameters 
 
-mu                    3.10916  +/-   0.004  -  0.004   + 0.0041  -  0.004   + 0.0041       False
+mu                    3.09807  +/-  0.0053  - 0.0053   + 0.0054  - 0.0053   + 0.0054       False

@@ -1021,7 +1021,7 @@

Fixing parameters 
 
-p_value for the Null hypothesis = 9.846804593927061e-09
+p_value for the Null hypothesis = 1.3264286058412011e-07

@@ -1037,7 +1037,7 @@

Fixing parameters 
-Significance (in units of sigma) = 5.614671436058858
+Significance (in units of sigma) = 5.146574792473764

@@ -1054,7 +1054,7 @@

Fixing parameters 
-(9.846804593927061e-09, 5.614671436058858)
+(1.3264286058412011e-07, 5.146574792473764)

Exercise play around! First things first: repeat the fit. The difference we will see is statistical fluctuation from the resampling of the data; we take only a fraction at random.

diff --git a/advanced-python/50LikelihoodInference.ipynb b/advanced-python/50LikelihoodInference.ipynb index 8a315136..89866528 100644 --- a/advanced-python/50LikelihoodInference.ipynb +++ b/advanced-python/50LikelihoodInference.ipynb @@ -43,10 +43,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:51.922947Z", - "iopub.status.busy": "2024-03-13T13:46:51.922792Z", - "iopub.status.idle": "2024-03-13T13:46:52.633703Z", - "shell.execute_reply": "2024-03-13T13:46:52.633197Z" + "iopub.execute_input": "2024-04-04T17:23:54.519577Z", + "iopub.status.busy": "2024-04-04T17:23:54.519380Z", + "iopub.status.idle": "2024-04-04T17:23:55.272027Z", + "shell.execute_reply": "2024-04-04T17:23:55.271418Z" } }, "outputs": [], @@ -61,10 +61,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:52.635945Z", - "iopub.status.busy": "2024-03-13T13:46:52.635551Z", - "iopub.status.idle": "2024-03-13T13:46:55.606598Z", - "shell.execute_reply": "2024-03-13T13:46:55.606064Z" + "iopub.execute_input": "2024-04-04T17:23:55.274533Z", + "iopub.status.busy": "2024-04-04T17:23:55.274246Z", + "iopub.status.idle": "2024-04-04T17:23:58.616564Z", + "shell.execute_reply": "2024-04-04T17:23:58.615955Z" } }, "outputs": [ @@ -90,10 +90,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.608924Z", - "iopub.status.busy": "2024-03-13T13:46:55.608587Z", - "iopub.status.idle": "2024-03-13T13:46:55.650876Z", - "shell.execute_reply": "2024-03-13T13:46:55.650415Z" + "iopub.execute_input": "2024-04-04T17:23:58.619335Z", + "iopub.status.busy": "2024-04-04T17:23:58.618732Z", + "iopub.status.idle": "2024-04-04T17:23:58.667541Z", + "shell.execute_reply": "2024-04-04T17:23:58.667007Z" } }, "outputs": [], @@ -120,10 +120,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.652892Z", - "iopub.status.busy": "2024-03-13T13:46:55.652550Z", - "iopub.status.idle": "2024-03-13T13:46:55.670043Z", - "shell.execute_reply": "2024-03-13T13:46:55.669641Z" + "iopub.execute_input": "2024-04-04T17:23:58.670070Z", + "iopub.status.busy": "2024-04-04T17:23:58.669672Z", + "iopub.status.idle": "2024-04-04T17:23:58.689029Z", + "shell.execute_reply": "2024-04-04T17:23:58.688569Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.671953Z", - "iopub.status.busy": "2024-03-13T13:46:55.671636Z", - "iopub.status.idle": "2024-03-13T13:46:55.674395Z", - "shell.execute_reply": "2024-03-13T13:46:55.674033Z" + "iopub.execute_input": "2024-04-04T17:23:58.690944Z", + "iopub.status.busy": "2024-04-04T17:23:58.690756Z", + "iopub.status.idle": "2024-04-04T17:23:58.693109Z", + "shell.execute_reply": "2024-04-04T17:23:58.692716Z" } }, "outputs": [], @@ -155,10 +155,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.676062Z", - "iopub.status.busy": "2024-03-13T13:46:55.675764Z", - "iopub.status.idle": "2024-03-13T13:46:55.735068Z", - "shell.execute_reply": "2024-03-13T13:46:55.734555Z" + "iopub.execute_input": "2024-04-04T17:23:58.694866Z", + "iopub.status.busy": "2024-04-04T17:23:58.694697Z", + "iopub.status.idle": "2024-04-04T17:23:58.763917Z", + "shell.execute_reply": "2024-04-04T17:23:58.763457Z" } }, "outputs": [], @@ -183,10 +183,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.737157Z", - "iopub.status.busy": "2024-03-13T13:46:55.736983Z", - "iopub.status.idle": "2024-03-13T13:46:55.762984Z", - "shell.execute_reply": "2024-03-13T13:46:55.762602Z" + "iopub.execute_input": "2024-04-04T17:23:58.766302Z", + "iopub.status.busy": "2024-04-04T17:23:58.765959Z", + "iopub.status.idle": "2024-04-04T17:23:58.794754Z", + "shell.execute_reply": "2024-04-04T17:23:58.794303Z" } }, "outputs": [], @@ -204,10 +204,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.764649Z", - "iopub.status.busy": "2024-03-13T13:46:55.764483Z", - "iopub.status.idle": "2024-03-13T13:46:55.767468Z", - "shell.execute_reply": "2024-03-13T13:46:55.767075Z" + "iopub.execute_input": "2024-04-04T17:23:58.797149Z", + "iopub.status.busy": "2024-04-04T17:23:58.796762Z", + "iopub.status.idle": "2024-04-04T17:23:58.799943Z", + "shell.execute_reply": "2024-04-04T17:23:58.799555Z" } }, "outputs": [], @@ -221,10 +221,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.769198Z", - "iopub.status.busy": "2024-03-13T13:46:55.769040Z", - "iopub.status.idle": "2024-03-13T13:46:55.771689Z", - "shell.execute_reply": "2024-03-13T13:46:55.771318Z" + "iopub.execute_input": "2024-04-04T17:23:58.801890Z", + "iopub.status.busy": "2024-04-04T17:23:58.801577Z", + "iopub.status.idle": "2024-04-04T17:23:58.804459Z", + "shell.execute_reply": "2024-04-04T17:23:58.803985Z" } }, "outputs": [], @@ -238,10 +238,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.773317Z", - "iopub.status.busy": "2024-03-13T13:46:55.773161Z", - "iopub.status.idle": "2024-03-13T13:46:55.778160Z", - "shell.execute_reply": "2024-03-13T13:46:55.777764Z" + "iopub.execute_input": "2024-04-04T17:23:58.806159Z", + "iopub.status.busy": "2024-04-04T17:23:58.805993Z", + "iopub.status.idle": "2024-04-04T17:23:58.811434Z", + "shell.execute_reply": "2024-04-04T17:23:58.811041Z" } }, "outputs": [], @@ -263,10 +263,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.779735Z", - "iopub.status.busy": "2024-03-13T13:46:55.779578Z", - "iopub.status.idle": "2024-03-13T13:46:55.784093Z", - "shell.execute_reply": "2024-03-13T13:46:55.783711Z" + "iopub.execute_input": "2024-04-04T17:23:58.813317Z", + "iopub.status.busy": "2024-04-04T17:23:58.813016Z", + "iopub.status.idle": "2024-04-04T17:23:58.817741Z", + "shell.execute_reply": "2024-04-04T17:23:58.817249Z" } }, "outputs": [], @@ -306,10 +306,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:55.785696Z", - "iopub.status.busy": "2024-03-13T13:46:55.785534Z", - "iopub.status.idle": "2024-03-13T13:46:56.037450Z", - "shell.execute_reply": "2024-03-13T13:46:56.037016Z" + "iopub.execute_input": "2024-04-04T17:23:58.819529Z", + "iopub.status.busy": "2024-04-04T17:23:58.819280Z", + "iopub.status.idle": "2024-04-04T17:23:59.103870Z", + "shell.execute_reply": "2024-04-04T17:23:59.103299Z" } }, "outputs": [ @@ -325,7 +325,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -352,10 +352,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:56.039405Z", - "iopub.status.busy": "2024-03-13T13:46:56.039135Z", - "iopub.status.idle": "2024-03-13T13:46:56.050635Z", - "shell.execute_reply": "2024-03-13T13:46:56.050235Z" + "iopub.execute_input": "2024-04-04T17:23:59.106130Z", + "iopub.status.busy": "2024-04-04T17:23:59.105706Z", + "iopub.status.idle": "2024-04-04T17:23:59.118408Z", + "shell.execute_reply": "2024-04-04T17:23:59.117910Z" } }, "outputs": [ @@ -385,10 +385,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:56.052488Z", - "iopub.status.busy": "2024-03-13T13:46:56.052171Z", - "iopub.status.idle": "2024-03-13T13:46:56.054609Z", - "shell.execute_reply": "2024-03-13T13:46:56.054209Z" + "iopub.execute_input": "2024-04-04T17:23:59.120588Z", + "iopub.status.busy": "2024-04-04T17:23:59.120201Z", + "iopub.status.idle": "2024-04-04T17:23:59.122845Z", + "shell.execute_reply": "2024-04-04T17:23:59.122383Z" } }, "outputs": [], @@ -403,10 +403,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:56.056233Z", - "iopub.status.busy": "2024-03-13T13:46:56.056074Z", - "iopub.status.idle": "2024-03-13T13:46:56.540884Z", - "shell.execute_reply": "2024-03-13T13:46:56.540350Z" + "iopub.execute_input": "2024-04-04T17:23:59.124575Z", + "iopub.status.busy": "2024-04-04T17:23:59.124409Z", + "iopub.status.idle": "2024-04-04T17:23:59.637679Z", + "shell.execute_reply": "2024-04-04T17:23:59.637196Z" } }, "outputs": [ @@ -414,7 +414,7 @@ "data": { "text/plain": [ "\u001b[1mFitResult\u001b[22m of\n", - " params=[mu, sigma]] data=[] constraints=[]> \n", + " params=[mu, sigma]] data=[] constraints=[]> \n", "with\n", "\n", "\n", @@ -454,10 +454,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:56.542944Z", - "iopub.status.busy": "2024-03-13T13:46:56.542564Z", - "iopub.status.idle": "2024-03-13T13:46:56.545147Z", - "shell.execute_reply": "2024-03-13T13:46:56.544664Z" + "iopub.execute_input": "2024-04-04T17:23:59.639569Z", + "iopub.status.busy": "2024-04-04T17:23:59.639389Z", + "iopub.status.idle": "2024-04-04T17:23:59.641955Z", + "shell.execute_reply": "2024-04-04T17:23:59.641478Z" } }, "outputs": [], @@ -470,10 +470,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:56.546948Z", - "iopub.status.busy": "2024-03-13T13:46:56.546586Z", - "iopub.status.idle": "2024-03-13T13:46:56.553474Z", - "shell.execute_reply": "2024-03-13T13:46:56.553091Z" + "iopub.execute_input": "2024-04-04T17:23:59.643838Z", + "iopub.status.busy": "2024-04-04T17:23:59.643528Z", + "iopub.status.idle": "2024-04-04T17:23:59.650859Z", + "shell.execute_reply": "2024-04-04T17:23:59.650472Z" } }, "outputs": [], @@ -486,10 +486,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:56.555371Z", - "iopub.status.busy": "2024-03-13T13:46:56.554964Z", - "iopub.status.idle": "2024-03-13T13:46:57.019651Z", - "shell.execute_reply": "2024-03-13T13:46:57.019215Z" + "iopub.execute_input": "2024-04-04T17:23:59.652553Z", + "iopub.status.busy": "2024-04-04T17:23:59.652406Z", + "iopub.status.idle": "2024-04-04T17:24:00.142260Z", + "shell.execute_reply": "2024-04-04T17:24:00.141822Z" } }, "outputs": [], @@ -502,10 +502,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:57.021865Z", - "iopub.status.busy": "2024-03-13T13:46:57.021526Z", - "iopub.status.idle": "2024-03-13T13:46:57.030868Z", - "shell.execute_reply": "2024-03-13T13:46:57.030370Z" + "iopub.execute_input": "2024-04-04T17:24:00.144357Z", + "iopub.status.busy": "2024-04-04T17:24:00.144181Z", + "iopub.status.idle": "2024-04-04T17:24:00.153947Z", + "shell.execute_reply": "2024-04-04T17:24:00.153515Z" } }, "outputs": [ @@ -513,23 +513,23 @@ "data": { "text/plain": [ "\u001b[1mFitResult\u001b[22m of\n", - " params=[Composed_autoparam_1, Composed_autoparam_2]] data=[] constraints=[]> \n", + " params=[Composed_autoparam_1, Composed_autoparam_2]] data=[] constraints=[]> \n", "with\n", "\n", "\n", "╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕\n", "│ valid │ converged │ param at limit │ edm │ approx. fmin (full | internal) │\n", "╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡\n", - "│ \u001b[48;5;10mTrue\u001b[0m │ True\u001b[0m │ False\u001b[0m │ 0.00012 │ -49419.77 | 9810.432 │\n", + "│ \u001b[48;5;10mTrue\u001b[0m │ True\u001b[0m │ False\u001b[0m │ 1.7e-05 │ -49723.55 | 9828.313 │\n", "╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛\n", "\n", "\u001b[1mParameters\n", "\u001b[22mname value (rounded) at limit\n", "--------- ------------------ ----------\n", - "bkg_yield 5970.09 False\u001b[0m\n", - "sig_yield 132.774 False\u001b[0m\n", - "lambda -1.07835 False\u001b[0m\n", - "mu 3.10916 False\u001b[0m" + "bkg_yield 6014.71 False\u001b[0m\n", + "sig_yield 123.234 False\u001b[0m\n", + "lambda -0.985693 False\u001b[0m\n", + "mu 3.09807 False\u001b[0m" ] }, "execution_count": 19, @@ -546,10 +546,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:57.032737Z", - "iopub.status.busy": "2024-03-13T13:46:57.032439Z", - "iopub.status.idle": "2024-03-13T13:46:57.552222Z", - "shell.execute_reply": "2024-03-13T13:46:57.551681Z" + "iopub.execute_input": "2024-04-04T17:24:00.155742Z", + "iopub.status.busy": "2024-04-04T17:24:00.155578Z", + "iopub.status.idle": "2024-04-04T17:24:00.655624Z", + "shell.execute_reply": "2024-04-04T17:24:00.655057Z" } }, "outputs": [ @@ -591,7 +591,7 @@ "output_type": "stream", "text": [ " of\n", - " params=[Composed_autoparam_1, Composed_autoparam_2]] data=[] constraints=[]> \n", + " params=[Composed_autoparam_1, Composed_autoparam_2]] data=[] constraints=[]> \n", "with\n", "\n", "\n", @@ -626,7 +626,7 @@ "name": "stdout", "output_type": "stream", "text": [ - " │ 0.00012 │ -49419.77 | 9810.432 │\n", + " │ 1.7e-05 │ -49723.55 | 9828.313 │\n", "╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛\n", "\n" ] @@ -644,7 +644,7 @@ "text": [ "name value (rounded) hesse errors minuit_minos at limit\n", "--------- ------------------ ----------- ------------------- ------------------- ----------\n", - "bkg_yield 5970.09 +/- 81 - 81 + 80 - 81 + 80 False" + "bkg_yield 6014.71 +/- 81 - 80 + 82 - 80 + 82 False" ] }, { @@ -652,7 +652,7 @@ "output_type": "stream", "text": [ "\n", - "sig_yield 132.774 +/- 26 - 25 + 26 - 25 + 26 False" + "sig_yield 123.234 +/- 26 - 26 + 26 - 26 + 26 False" ] }, { @@ -660,7 +660,7 @@ "output_type": "stream", "text": [ "\n", - "lambda -1.07835 +/- 0.065 - 0.064 + 0.066 - 0.064 + 0.066 False" + "lambda -0.985693 +/- 0.065 - 0.065 + 0.064 - 0.065 + 0.064 False" ] }, { @@ -668,7 +668,7 @@ "output_type": "stream", "text": [ "\n", - "mu 3.10916 +/- 0.004 - 0.004 + 0.0041 - 0.004 + 0.0041 False" + "mu 3.09807 +/- 0.0053 - 0.0053 + 0.0054 - 0.0053 + 0.0054 False" ] }, { @@ -690,10 +690,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:57.554552Z", - "iopub.status.busy": "2024-03-13T13:46:57.554162Z", - "iopub.status.idle": "2024-03-13T13:46:57.741059Z", - "shell.execute_reply": "2024-03-13T13:46:57.740551Z" + "iopub.execute_input": "2024-04-04T17:24:00.657627Z", + "iopub.status.busy": "2024-04-04T17:24:00.657467Z", + "iopub.status.idle": "2024-04-04T17:24:00.853829Z", + "shell.execute_reply": "2024-04-04T17:24:00.853320Z" } }, "outputs": [ @@ -709,7 +709,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -734,10 +734,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:57.742887Z", - "iopub.status.busy": "2024-03-13T13:46:57.742713Z", - "iopub.status.idle": "2024-03-13T13:46:57.812539Z", - "shell.execute_reply": "2024-03-13T13:46:57.811979Z" + "iopub.execute_input": "2024-04-04T17:24:00.855923Z", + "iopub.status.busy": "2024-04-04T17:24:00.855593Z", + "iopub.status.idle": "2024-04-04T17:24:00.932962Z", + "shell.execute_reply": "2024-04-04T17:24:00.932428Z" } }, "outputs": [ @@ -777,10 +777,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:46:57.814622Z", - "iopub.status.busy": "2024-03-13T13:46:57.814325Z", - "iopub.status.idle": "2024-03-13T13:46:58.149609Z", - "shell.execute_reply": "2024-03-13T13:46:58.149230Z" + "iopub.execute_input": "2024-04-04T17:24:00.935292Z", + "iopub.status.busy": "2024-04-04T17:24:00.934924Z", + "iopub.status.idle": "2024-04-04T17:24:01.278780Z", + "shell.execute_reply": "2024-04-04T17:24:01.278368Z" } }, "outputs": [ @@ -789,7 +789,7 @@ "output_type": "stream", "text": [ "\n", - "p_value for the Null hypothesis = 9.846804593927061e-09" + "p_value for the Null hypothesis = 1.3264286058412011e-07" ] }, { @@ -803,7 +803,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Significance (in units of sigma) = 5.614671436058858" + "Significance (in units of sigma) = 5.146574792473764" ] }, { @@ -816,7 +816,7 @@ { "data": { "text/plain": [ - "(9.846804593927061e-09, 5.614671436058858)" + "(1.3264286058412011e-07, 5.146574792473764)" ] }, "execution_count": 23, diff --git a/advanced-python/60sPlot.html b/advanced-python/60sPlot.html index 39a10567..f283fa67 100644 --- a/advanced-python/60sPlot.html +++ b/advanced-python/60sPlot.html @@ -535,7 +535,7 @@

Simple sPlot example 
-<matplotlib.legend.Legend at 0x7f4c3cee0890>
+<matplotlib.legend.Legend at 0x7f2d7b50a690>
@@ -796,7 +796,7 @@

Splot
 name         value  (rounded)    at limit
 ---------  ------------------  ----------
-bkg_yield              118204       False
+bkg_yield              118325       False

@@ -805,7 +805,7 @@

Splot 
 
-sig_yield             20000.6       False
+sig_yield             19957.6       False

@@ -814,7 +814,7 @@

Splot 
 
-lambda            -0.00200807       False
+lambda             -0.0020026       False

@@ -823,7 +823,7 @@

Splot 
 
-mu                    5279.09       False
+mu                    5278.94       False

@@ -921,9 +921,9 @@

Splot 
-{<zfit.Parameter 'bkg_yield' floating=True value=1.182e+05>: array([-0.12073301, -0.01059971, -0.0481363 , ...,  0.12997376,
-        1.12237074,  0.98933077]), <zfit.Parameter 'sig_yield' floating=True value=2e+04>: array([ 1.12073087,  1.01059843,  1.04813473, ...,  0.87002607,
-       -0.12236305,  0.01067587])}
+{<zfit.Parameter 'bkg_yield' floating=True value=1.183e+05>: array([-0.19858546,  0.38786929, -0.15793436, ...,  1.12246654,
+        1.12246654,  1.11752534]), <zfit.Parameter 'sig_yield' floating=True value=1.996e+04>: array([ 1.19858404,  0.61213443,  1.1579333 , ..., -0.12245638,
+       -0.12245638, -0.11751522])}

@@ -964,7 +964,7 @@

Splot 
-20000.567626285625
+19957.63364768406

@@ -996,7 +996,7 @@

Splot 
-118204.20245608203
+118325.44779441284

@@ -1053,7 +1053,7 @@

Splot 
-Correlation between m and t: 0.03313449258287393
+Correlation between m and t: 0.02946674925287552

@@ -1197,7 +1197,7 @@

We have no information about real labels 
-<matplotlib.legend.Legend at 0x7f4c300800d0>
+<matplotlib.legend.Legend at 0x7f2d70273f10>

@@ -1241,7 +1241,7 @@

Fitting doesn’t give us information about real labels 
 ((0.0, 10.0),
- <matplotlib.legend.Legend at 0x7f4c3017b890>,
+ <matplotlib.legend.Legend at 0x7f2d707b5250>,
  Text(0.5, 0, 'mass'))

@@ -1333,7 +1333,7 @@

An important requirement of sPlot 
--0.3543723402153457
+-0.3470533423073679

But within each class there is no correlation, so the requirement is satisfied:

@@ -1351,7 +1351,7 @@

An important requirement of sPlot 
-0.005485992073020391
+0.01224881923971009
@@ -1367,7 +1367,7 @@

An important requirement of sPlot 
--0.019241846219202496
+-0.017283269989374316

diff --git a/advanced-python/60sPlot.ipynb b/advanced-python/60sPlot.ipynb index 7a7edb8e..7a80232c 100644 --- a/advanced-python/60sPlot.ipynb +++ b/advanced-python/60sPlot.ipynb @@ -17,10 +17,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:00.699841Z", - "iopub.status.busy": "2024-03-13T13:47:00.699681Z", - "iopub.status.idle": "2024-03-13T13:47:03.744431Z", - "shell.execute_reply": "2024-03-13T13:47:03.743840Z" + "iopub.execute_input": "2024-04-04T17:24:04.122132Z", + "iopub.status.busy": "2024-04-04T17:24:04.121962Z", + "iopub.status.idle": "2024-04-04T17:24:07.583366Z", + "shell.execute_reply": "2024-04-04T17:24:07.582829Z" } }, "outputs": [ @@ -45,10 +45,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:03.746766Z", - "iopub.status.busy": "2024-03-13T13:47:03.746410Z", - "iopub.status.idle": "2024-03-13T13:47:03.749758Z", - "shell.execute_reply": "2024-03-13T13:47:03.749286Z" + "iopub.execute_input": "2024-04-04T17:24:07.585802Z", + "iopub.status.busy": "2024-04-04T17:24:07.585424Z", + "iopub.status.idle": "2024-04-04T17:24:07.588785Z", + "shell.execute_reply": "2024-04-04T17:24:07.588416Z" } }, "outputs": [], @@ -75,17 +75,17 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:03.751800Z", - "iopub.status.busy": "2024-03-13T13:47:03.751427Z", - "iopub.status.idle": "2024-03-13T13:47:04.129190Z", - "shell.execute_reply": "2024-03-13T13:47:04.128679Z" + "iopub.execute_input": "2024-04-04T17:24:07.590462Z", + "iopub.status.busy": "2024-04-04T17:24:07.590305Z", + "iopub.status.idle": "2024-04-04T17:24:08.000722Z", + "shell.execute_reply": "2024-04-04T17:24:08.000190Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -94,7 +94,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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WrVJycrKGDx+uPn36yLIsbdy40Z7Gqaur0+TJk3XFFVfoxhtv1OWXX65ly5ad9nX69u2riRMn6s4779SPfvQjLVy48Iw19e7dW3/4wx+0fv16JSUl6bHHHtOCBQu8FvX6E7tYA4ZhF+sAEKg/pECtqxmZuot1WlqaevXqpdzcXH+X0ix8tYs1p1gD8HI+34N8dwLwB6aTAACAkRiJAQDAzwoKCvxdgpEYiQEAAEYixAAAWpwWes5Ki+Grz4cQAwBoMU5egK22ttbPleBsTl6b5tQr/TYWa2IAAC1GcHCw2rVrp6+//lohISFq04bf1QOJZVk6duyYKioqFBUV9YOv+kuIAQC0GA6HQ506dVJpaan27t3r73JwBlFRUafdRbuxCDEAgBYlNDRUiYmJTCkFqJCQEJ/tu0SIAQC0OG3atDHqir04P0wWAgAAIxFiAACAkZhOAoCWorGbWLHpFQzHSAwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJE4xRrwI85wDQB8CICxGIkBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkzk4C8IOx7yAAf2AkBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIzk8xBz4sQJPfroo0pISFB4eLguvvhiLViwQPX19XYfy7KUmZmp+Ph4hYeHKy0tTTt37vR6npqaGk2dOlUdO3ZU+/btdeutt+rLL7/0dbkAAMBQPg8xTz75pH77299q6dKl2rVrlxYuXKhFixZpyZIldp+FCxdq8eLFWrp0qbZu3SqXy6XBgwfr8OHDdp/09HRt2LBB69ev1+bNm3XkyBENHz5cdXV1vi4ZAAAYKNjXT7hlyxbddtttuvnmmyVJXbt21bp16/T+++9L+nYUJjc3V3PmzNGIESMkSXl5eYqLi9PatWs1YcIEeTwerVy5Us8995wGDRokSVqzZo3cbrfeeOMNDR061NdlAwAAw/h8JOa6667Tm2++qU8//VSStH37dm3evFnDhg2TJJWWlqq8vFxDhgyxHxMWFqb+/furqKhIklRcXKzjx4979YmPj1dSUpLd51Q1NTWqqqryugEAgJbL5yMxs2bNksfjUbdu3RQUFKS6ujr96le/0r//+79LksrLyyVJcXFxXo+Li4vT3r177T6hoaHq0KFDgz4nH3+q7OxszZ8/39dvBwAABCifj8S88MILWrNmjdauXatt27YpLy9Pv/71r5WXl+fVz+FweN23LKtB26nO1mf27NnyeDz2bf/+/T/sjQAAgIDm85GYX/7yl3r44Yd11113SZJ69OihvXv3Kjs7W/fcc49cLpekb0dbOnXqZD+uoqLCHp1xuVyqra1VZWWl12hMRUWF+vbte9rXDQsLU1hYmK/fDtAomZn+rgAAWg+fj8QcO3ZMbdp4P21QUJB9inVCQoJcLpfy8/Pt47W1tSosLLQDSnJyskJCQrz6lJWV6aOPPjpjiAEAAK2Lz0dibrnlFv3qV79S586d1b17d33wwQdavHix7rvvPknfTiOlp6crKytLiYmJSkxMVFZWltq1a6dRo0ZJkpxOp8aNG6fp06crJiZG0dHRmjFjhnr06GGfrQQAAFo3n4eYJUuWaO7cuZo0aZIqKioUHx+vCRMm6LHHHrP7zJw5U9XV1Zo0aZIqKyuVmpqqTZs2KSIiwu6Tk5Oj4OBgjRw5UtXV1Ro4cKBWr16toKAgX5cMAAAM5LAsy/J3EU2hqqpKTqdTHo9HkZGR/i4HrQRrYs5NQP2cAqqYZtaa3zsCVmO+v9k7CQAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYyefbDgCAX3EVWqDVYCQGAAAYiRADAACMxHQSgGbX2BkfZogAnA4jMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiQ0gAaC1Op+dNdmNEwGEkRgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjBfu7ACCQZWb6uwIAwJkwEgMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBLXiQEQ8BpzvZ60gn/9N60JCgEQUBiJAQAARmqSkZgDBw5o1qxZevXVV1VdXa3LLrtMK1euVHJysiTJsizNnz9fK1asUGVlpVJTU/Wf//mf6t69u/0cNTU1mjFjhtatW6fq6moNHDhQy5Yt00UXXdQUJQMIQGkFmf4uAUAA83mIqaysVL9+/TRgwAC9+uqrio2N1d///ndFRUXZfRYuXKjFixdr9erVuuyyy/TEE09o8ODB2r17tyIiIiRJ6enp+vOf/6z169crJiZG06dP1/Dhw1VcXKygoCBflw0AOBeN3YuDvTvQhHweYp588km53W6tWrXKbuvatav9/5ZlKTc3V3PmzNGIESMkSXl5eYqLi9PatWs1YcIEeTwerVy5Us8995wGDRokSVqzZo3cbrfeeOMNDR061NdlAwAAw/h8Tcwrr7yilJQU3XHHHYqNjdXVV1+tZ5991j5eWlqq8vJyDRkyxG4LCwtT//79VVRUJEkqLi7W8ePHvfrEx8crKSnJ7nOqmpoaVVVVed0AAEDL5fMQ8/nnn2v58uVKTEzU66+/rokTJ2ratGn6/e9/L0kqLy+XJMXFxXk9Li4uzj5WXl6u0NBQdejQ4Yx9TpWdnS2n02nf3G63r98aAAAIID4PMfX19erdu7eysrJ09dVXa8KECRo/fryWL1/u1c/hcHjdtyyrQdupztZn9uzZ8ng89m3//v0/7I0AAICA5vMQ06lTJ1155ZVebVdccYX27dsnSXK5XJLUYESloqLCHp1xuVyqra1VZWXlGfucKiwsTJGRkV43AADQcvk8xPTr10+7d+/2avv000/VpUsXSVJCQoJcLpfy8/Pt47W1tSosLFTfvn0lScnJyQoJCfHqU1ZWpo8++sjuAwAAWjefn530i1/8Qn379lVWVpZGjhyp9957TytWrNCKFSskfTuNlJ6erqysLCUmJioxMVFZWVlq166dRo0aJUlyOp0aN26cpk+frpiYGEVHR2vGjBnq0aOHfbYSAABo3XweYq655hpt2LBBs2fP1oIFC5SQkKDc3FyNHj3a7jNz5kxVV1dr0qRJ9sXuNm3aZF8jRpJycnIUHByskSNH2he7W716NdeIAQAAkiSHZVmWv4toClVVVXI6nfJ4PKyPwXnjOl3+9UOu2MveSQGCv0RopMZ8f7N3EgAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABgp2N8FAM0lM9PfFSCtINPfJQBoQRiJAQAARiLEAAAAIxFiAACAkVgTA6BFKihoXP+0tKaoAkBTYiQGAAAYiRADAACMRIgBAABGIsQAAAAjsbAXANB0zucqk1yZEueIkRgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACM1eYjJzs6Ww+FQenq63WZZljIzMxUfH6/w8HClpaVp586dXo+rqanR1KlT1bFjR7Vv31633nqrvvzyy6YuFwAAGKJJQ8zWrVu1YsUK9ezZ06t94cKFWrx4sZYuXaqtW7fK5XJp8ODBOnz4sN0nPT1dGzZs0Pr167V582YdOXJEw4cPV11dXVOWDAAADNFkIebIkSMaPXq0nn32WXXo0MFutyxLubm5mjNnjkaMGKGkpCTl5eXp2LFjWrt2rSTJ4/Fo5cqVeuqppzRo0CBdffXVWrNmjXbs2KE33nijqUoGAAAGabIQM3nyZN18880aNGiQV3tpaanKy8s1ZMgQuy0sLEz9+/dXUVGRJKm4uFjHjx/36hMfH6+kpCS7z6lqampUVVXldQMAAC1Xk2w7sH79em3btk1bt25tcKy8vFySFBcX59UeFxenvXv32n1CQ0O9RnBO9jn5+FNlZ2dr/vz5vigfAAAYwOcjMfv379dDDz2kNWvWqG3btmfs53A4vO5bltWg7VRn6zN79mx5PB77tn///sYXDwAAjOHzEFNcXKyKigolJycrODhYwcHBKiws1NNPP63g4GB7BObUEZWKigr7mMvlUm1trSorK8/Y51RhYWGKjIz0ugEAgJbL5yFm4MCB2rFjh0pKSuxbSkqKRo8erZKSEl188cVyuVzKz8+3H1NbW6vCwkL17dtXkpScnKyQkBCvPmVlZfroo4/sPgAAoHXz+ZqYiIgIJSUlebW1b99eMTExdnt6erqysrKUmJioxMREZWVlqV27dho1apQkyel0aty4cZo+fbpiYmIUHR2tGTNmqEePHg0WCgMAgNapSRb2fp+ZM2equrpakyZNUmVlpVJTU7Vp0yZFRETYfXJychQcHKyRI0equrpaAwcO1OrVqxUUFOSPkgEAQIBxWJZl+buIplBVVSWn0ymPx8P6GEiSMjP9XQHSCjL9XcIZpaX5uwLY+MvaqjXm+5u9kwAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjBfu7AOB8ZWb6uwIAgD8xEgMAAIxEiAEAAEZiOgkAEFgaO1fM3HKrxUgMAAAwEiEGAAAYiekkAOclrSDT3yUAaOUYiQEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARiLEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjBfu7AAAIBAUFjX9MWpqvqwDQGIzEAAAAIxFiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjccVeBIzMTH9XAAAwCSMxAADASIQYAABgJKaTAEiS0goy/V0CcH7OZy6a+esWgZEYAABgJEIMAAAwEiEGAAAYyechJjs7W9dcc40iIiIUGxur22+/Xbt37/bqY1mWMjMzFR8fr/DwcKWlpWnnzp1efWpqajR16lR17NhR7du316233qovv/zS1+UCwHkrKGjcDYBv+TzEFBYWavLkyXrnnXeUn5+vEydOaMiQITp69KjdZ+HChVq8eLGWLl2qrVu3yuVyafDgwTp8+LDdJz09XRs2bND69eu1efNmHTlyRMOHD1ddXZ2vSwYAAAby+dlJr732mtf9VatWKTY2VsXFxbrhhhtkWZZyc3M1Z84cjRgxQpKUl5enuLg4rV27VhMmTJDH49HKlSv13HPPadCgQZKkNWvWyO1264033tDQoUN9XTYAADBMk6+J8Xg8kqTo6GhJUmlpqcrLyzVkyBC7T1hYmPr376+ioiJJUnFxsY4fP+7VJz4+XklJSXafU9XU1KiqqsrrBgAAWq4mDTGWZSkjI0PXXXedkpKSJEnl5eWSpLi4OK++cXFx9rHy8nKFhoaqQ4cOZ+xzquzsbDmdTvvmdrt9/XYAAEAAadIQM2XKFH344Ydat25dg2MOh8PrvmVZDdpOdbY+s2fPlsfjsW/79+8//8IBAEDAa7IQM3XqVL3yyiv6y1/+oosuushud7lcktRgRKWiosIenXG5XKqtrVVlZeUZ+5wqLCxMkZGRXjcAANBy+TzEWJalKVOm6KWXXtJbb72lhIQEr+MJCQlyuVzKz8+322pra1VYWKi+fftKkpKTkxUSEuLVp6ysTB999JHdBwAAtG4+Pztp8uTJWrt2rf70pz8pIiLCHnFxOp0KDw+Xw+FQenq6srKylJiYqMTERGVlZaldu3YaNWqU3XfcuHGaPn26YmJiFB0drRkzZqhHjx722UoAAKB183mIWb58uSQpLS3Nq33VqlUaO3asJGnmzJmqrq7WpEmTVFlZqdTUVG3atEkRERF2/5ycHAUHB2vkyJGqrq7WwIEDtXr1agUFBfm6ZAAAYCCHZVmWv4toClVVVXI6nfJ4PKyPMQSbyvoXu1g3vVN+t4M/8Q9OwGrM9zd7JwEAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARvL5FXsBietIAQCaHiMxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABG4hRroAVKK8j0dwkA0OQIMQCA1qexF7Pi4lcBiekkAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABG4uwkAGgmBQWN65+W1hRVAC0HIzEAAMBIhBgAAGAkQgwAADASIQYAABiJEAMAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEhcsRfnJDPT3xUAAOCNEAMAwPc5n9/k+O2vyTGdBAAAjMRIDAAEqMZuGCmxaSRaF0ZiAACAkQgxAADASIQYAABgJEIMAAAwEiEGAAAYiRADAACMxCnWgAHSCjL9XQIABBxGYgAAgJEIMQAAwEhMJ7VCbOcBAGgJCDFAM2N9CwD4BiEGAFqQxu63xF5LTYidr5sca2IAAICRCDEAAMBIhBgAAGAkQgwAADASIQYAABiJs5NaABazAzhfnM0EkzESAwAAjMRIDPADcfE6APAPRmIAAICRCDEAAMBIAT+dtGzZMi1atEhlZWXq3r27cnNzdf311/u7rHPGVacBAOessV8ArfwLw2FZluXvIs7khRde0JgxY7Rs2TL169dPzzzzjH73u9/p448/VufOnc/62KqqKjmdTnk8HkVGRjZTxQ218j9ffsVaFSAwcEZTgAnwL6bGfH8H9EjM4sWLNW7cON1///2SpNzcXL3++utavny5srOz/VwdAOBccBo3mkrAhpja2loVFxfr4Ycf9mofMmSIioqKGvSvqalRTU2Nfd/j8UiSMjOrFBbWtLWieVz318YF16NNVAeAplVV8/198APMnu3vChr6Tk1VVVWSpHOZKArYEHPo0CHV1dUpLi7Oqz0uLk7l5eUN+mdnZ2v+/PkN2nNy3E1WIwCgCfzN3wWg2f3HfzRoOnz4sJxO51kfFrAh5iSHw+F137KsBm2SNHv2bGVkZNj36+vr9X//93+KiYk5bX9TVFVVye12a//+/X5d2wM+i0DCZxE4+CwCS0v4PCzL0uHDhxUfH/+9fQM2xHTs2FFBQUENRl0qKioajM5IUlhYmMJOmTeKiopqyhKbVWRkpLF/IFsaPovAwWcROPgsAovpn8f3jcCcFLDXiQkNDVVycrLy8/O92vPz89W3b18/VQUAAAJFwI7ESFJGRobGjBmjlJQU9enTRytWrNC+ffs0ceJEf5cGAAD8LKBDzJ133qlvvvlGCxYsUFlZmZKSkrRx40Z16dLF36U1m7CwMM2bN6/BVBmaH59F4OCzCBx8FoGltX0eAX2xOwAAgDMJ2DUxAAAAZ0OIAQAARiLEAAAAIxFiAACAkQgxBqqpqVGvXr3kcDhUUlLi73JanS+++ELjxo1TQkKCwsPDdckll2jevHmqra31d2mtxrJly5SQkKC2bdsqOTlZf/3rX/1dUquTnZ2ta665RhEREYqNjdXtt9+u3bt3+7ss6NvPxuFwKD093d+lNDlCjIFmzpx5TpdjRtP45JNPVF9fr2eeeUY7d+5UTk6Ofvvb3+qRRx7xd2mtwgsvvKD09HTNmTNHH3zwga6//nrddNNN2rdvn79La1UKCws1efJkvfPOO8rPz9eJEyc0ZMgQHT3K1qv+tHXrVq1YsUI9e/b0dynNglOsDfPqq68qIyNDL774orp3764PPvhAvXr18ndZrd6iRYu0fPlyff755/4upcVLTU1V7969tXz5crvtiiuu0O23367s7MbtdA7f+frrrxUbG6vCwkLdcMMN/i6nVTpy5Ih69+6tZcuW6YknnlCvXr2Um5vr77KaFCMxBvnqq680fvx4Pffcc2rXrp2/y8F3eDweRUdH+7uMFq+2tlbFxcUaMmSIV/uQIUNUVFTkp6ogfft3QBJ/D/xo8uTJuvnmmzVo0CB/l9JsAvqKvfj/LMvS2LFjNXHiRKWkpOiLL77wd0n4l7///e9asmSJnnrqKX+X0uIdOnRIdXV1DTaBjYuLa7BZLJqPZVnKyMjQddddp6SkJH+X0yqtX79e27Zt09atW/1dSrNiJMbPMjMz5XA4znp7//33tWTJElVVVWn27Nn+LrnFOtfP4rsOHjyoG2+8UXfccYfuv/9+P1Xe+jgcDq/7lmU1aEPzmTJlij788EOtW7fO36W0Svv379dDDz2kNWvWqG3btv4up1mxJsbPDh06pEOHDp21T9euXXXXXXfpz3/+s9c/1HV1dQoKCtLo0aOVl5fX1KW2eOf6WZz8R+LgwYMaMGCAUlNTtXr1arVpw+8ETa22tlbt2rXTf//3f+snP/mJ3f7QQw+ppKREhYWFfqyudZo6dapefvllvf3220pISPB3Oa3Syy+/rJ/85CcKCgqy2+rq6uRwONSmTRvV1NR4HWtJCDGG2Ldvn6qqquz7Bw8e1NChQ/XHP/5Rqampuuiii/xYXetz4MABDRgwQMnJyVqzZk2L/QciEKWmpio5OVnLli2z26688krddtttLOxtRpZlaerUqdqwYYMKCgqUmJjo75JarcOHD2vv3r1ebffee6+6deumWbNmtegpPtbEGKJz585e9y+44AJJ0iWXXEKAaWYHDx5UWlqaOnfurF//+tf6+uuv7WMul8uPlbUOGRkZGjNmjFJSUtSnTx+tWLFC+/bt08SJE/1dWqsyefJkrV27Vn/6058UERFhr0lyOp0KDw/3c3WtS0RERIOg0r59e8XExLToACMRYoBG27Rpkz777DN99tlnDQIkA5tN784779Q333yjBQsWqKysTElJSdq4caO6dOni79JalZOnuKelpXm1r1q1SmPHjm3+gtAqMZ0EAACMxEpEAABgJEIMAAAwEiEGAAAYiRADAACMRIgBAABGIsQAAAAjEWIAAICRCDEAAMBIhBgAAGAkQgwAADASIQZAQPvqq6/kcDj0m9/8RldffbXatm2r7t27a/Pmzf4uDYCfEWIABLQPPvhAkrRs2TLl5ORo+/bt6tq1q0aPHq36+no/VwfAn9jFGkBA2759u0JCQvTaa68pISFBkrRgwQKlpKTowIEDcrvdfq4QgL8wEgMgoJWUlGjEiBF2gJGksLAwP1YEIFAQYgAEtJKSEvXq1curbdu2berYsaMuvPBCpaam6v3335ck3XPPPVq+fLkfqgTgD0wnAQhY1dXV2rNnj+rq6uy2+vp6/eY3v9E999yjNm3aaO7cucrKylK/fv10wQUX6MEHH/RjxQCak8OyLMvfRQDA6bz33nvq16+fLr30Uv3Xf/2XoqKi9Nhjj2nbtm0qLi5WVFSUJKlXr16KjY3Vxo0bFRzM72ZAa8F0EoCAVVJSom7duunRRx/Vz372M6WkpKhNmzbasmWLHWDee+89/eMf/1BUVBQBBmhlCDEAAtb27dvVo0cPjR49WgcOHNDRo0f1wgsvKDY2VpJ04MAB3X///frLX/6iPXv2aNeuXX6uGEBzIsQACFglJSXq2bPnaY9VV1frZz/7mZYuXaqEhATNnDlTTzzxRDNXCMCfWBMDICBZliWn06n169dr2LBh/i4HQAAixAAAACMxnQQAAIxEiAEAAEYixAAAACMRYgAAgJEIMQAAwEiEGAAAYCRCDAAAMBIhBgAAGIkQAwAAjESIAQAARvp/V0y9iTeXm2gAAAAASUVORK5CYII=", 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" ] @@ -130,10 +130,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.131033Z", - "iopub.status.busy": "2024-03-13T13:47:04.130863Z", - "iopub.status.idle": "2024-03-13T13:47:04.133742Z", - "shell.execute_reply": "2024-03-13T13:47:04.133367Z" + "iopub.execute_input": "2024-04-04T17:24:08.002814Z", + "iopub.status.busy": "2024-04-04T17:24:08.002623Z", + "iopub.status.idle": "2024-04-04T17:24:08.005754Z", + "shell.execute_reply": "2024-04-04T17:24:08.005366Z" } }, "outputs": [], @@ -149,16 +149,16 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.135359Z", - "iopub.status.busy": "2024-03-13T13:47:04.135188Z", - "iopub.status.idle": "2024-03-13T13:47:04.382660Z", - "shell.execute_reply": "2024-03-13T13:47:04.382223Z" + "iopub.execute_input": "2024-04-04T17:24:08.007465Z", + "iopub.status.busy": "2024-04-04T17:24:08.007309Z", + "iopub.status.idle": "2024-04-04T17:24:08.253957Z", + "shell.execute_reply": "2024-04-04T17:24:08.253377Z" } }, "outputs": [ { "data": { - "image/png": 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kpKRcHf/1c2BVr15dERERWrly5U0fz/VCQ0NVpUqVDMeY/vVevXq1oqOjM4xMe+aZZ254DBcvXtTq1avVunXrXM8xdf78efXr108lSpSQi4uLXFxclC9fPl24cEG7du0y293oPAcGBqp48eIaNWqUPvjgA23evDnDpYS34tKlS1qxYoWeeOIJeXl52b0WjRs31qVLl/Trr79KklauXKkyZcrooYcesuujbdu2OdrXlStXNHz4cD344INyc3OTi4uL3Nzc9Ndff2U4J1u3blW3bt20ZMkSnT17Ns+OFwCA28UwjCzXlS9fXm5ubnrhhRc0c+bMTKcjyIncfNfO6v/ws2fPatOmTTe1/5zK7e8QmX2Hlf431UiJEiUUEBCgfv366eOPP9bOnTstrB7AjRA83QM+/fRTrV+/Xps3b9axY8e0bds21ahRw66Nl5eXeYlUmtOnTys0NDTDNd7BwcFycXHJcMlUaGhohn2nLUtre/r06UzvLBYeHm7XLs2t3oXs9OnTcnFxyfBLv81mU2hoaIb9BQUFZejD3d39hqFJbs9VTpw8eVKS9PDDD8vV1dXuMW/ePLt5mxo1aqSwsDBNnz5d0rX5kRYsWKBnn31Wzs7Odv21atUqQ3/vvvuuDMPQmTNn7Gq4/nykXRaWkxBp7Nix6tevn7799lvVrVtXgYGBatGihf76668cHX9W76e0c3kzx3O9nLzep0+fzhDSSsp02fUSEhKUmpp6UxN0tm3bVuPHj1eXLl20ZMkS/f7771q/fr0KFChgV9+NzrPNZtOKFSvUsGFDjRw5UhUrVlSBAgXUs2fPPBlKfvr0aV25ckXjxo3L8Do0btxYksz3atrPyfUyW5aZ3r1764033lCLFi20cOFC/fbbb1q/fr0eeughu3MyYMAAvffee/r111/VqFEjBQUFKSYmRhs2bLjl4wUA4Ha4cOGCTp8+bX5Hvl7x4sW1fPlyBQcHq3v37ipevLiKFy+e6/kMc/NdOyff9a2S298hbvQd1s/PT6tXr1b58uX1+uuvq0yZMgoPD9fgwYN1+fJlKw4BQDaY4+keULp0abu7ZWQmswkEg4KC9Ntvv8kwDLv18fHxunLlijnHTJoTJ05k6CNtWdqHf1BQUKZzxBw7dkySMvR5o7vY3UhQUJCuXLmiU6dO2YVPhmHoxIkTevjhh2+p//T7yc25yom0bb766itFRERk29bZ2Vnt27fX2LFj9c8//2j27NlKTk5Wp06dMvQ3bty4LO8UkpMwJae8vb01ZMgQDRkyRCdPnjRH5TRr1kx//PHHDbfP6v1UokQJSbfveIKCgsyQ60b1XS8wMFDOzs65nqQyMTFR3333nQYPHqz+/fuby5OTkzOEaTk5zxEREZo2bZok6c8//9QXX3yh2NhYpaSk6OOPP85VbdcLCAgw33/du3fPtE1kZKSka+cyu8+JG0mb02v48OF2y//++29z3i9JcnFxUe/evdW7d2/9888/Wr58uV5//XU1bNhQhw8fvuPu2AkAwPW+//57paammjf+yEytWrVUq1YtpaamasOGDRo3bpx69eqlkJAQtWnTJkf7yc137Zx81/fw8JCkDDdQSf8H05uR298hcqJs2bKaO3euDMPQtm3bNGPGDA0dOlSenp52378AWI8RT/exmJgYnT9/Xt9++63d8k8//dRcn96KFSvsfkFPTU3VvHnzVLx4cXPER0xMjH788UfzP4n0fXp5eeXo1qm5GXWTVuOsWbPsln/99de6cOHCDSefzqncnqucaNiwoVxcXLR3715Vrlw500d6nTp10qVLlzRnzhzNmDFD1apVU6lSpcz1NWrUkL+/v3bu3Jllf25ubrmuMycjwkJCQtSxY0c988wz2r17ty5evHjDftMmX0+zdu1aHTx40PwCZtXxXK927dqKi4vLMAQ7szs2Xs/T01O1a9fWl19+masvXDabTYZhZJh4fOrUqUpNTc1yu5yc5wceeECDBg1S2bJl82RYvJeXl+rWravNmzerXLlymb4OaV9G69atqx07dmjr1q12fcyePTtH+7LZbBnOyffff6+jR49muY2/v79atWql7t2768yZMxnusgMAwJ3m0KFD6tOnj/z8/NS1a9cbtnd2dlbVqlXNu8mm/f+em+/MOZHV/+E+Pj7mDX/S7i69bds2u3YLFizI0F9OvkOmyYvfIbJis9n00EMPafTo0fL397f8skEAGTHi6T727LPP6qOPPlKHDh104MABlS1bVmvWrNHw4cPVuHFj1atXz659/vz59dhjj+mNN94w72r3xx9/2P2CPnjwYH333XeqW7eu3nzzTQUGBurzzz/X999/r5EjR8rPz++GdUVHR0uSJk+eLB8fH3l4eCgyMjLTy6bq16+vhg0bql+/fjp79qxq1Khh3tWuQoUKat++/S2epWtye65yomjRoho6dKgGDhyoffv26fHHH1dAQIBOnjyp33//3RzpkqZUqVKqVq2aRowYocOHD2vy5Ml2/eXLl0/jxo1Thw4ddObMGbVq1UrBwcE6deqUtm7dqlOnTmnixIm5rrNs2bJatWqVFi5cqLCwMPn4+KhkyZKqWrWqmjZtqnLlyikgIEC7du3SZ599pmrVquVoxMmGDRvUpUsXPfXUUzp8+LAGDhyoggULqlu3bpYez/V69eqlTz75RI0aNdLQoUMVEhKi2bNnm6OJnJyyz+c/+OAD1axZU1WrVlX//v1VokQJnTx5UgsWLNCkSZPk4+OTYRtfX189+uijGjVqlPLnz6+iRYtq9erVmjZtmt3IHkk3PM/btm1Tjx499NRTTykqKkpubm768ccftW3btjz7a96HH36omjVrqlatWnrppZdUtGhRnTt3Tnv27NHChQvNudbSzmWTJk00bNgw8652ORkBJ0lNmzbVjBkzVKpUKZUrV04bN27UqFGjMlzK2KxZM0VHR6ty5coqUKCADh48qDFjxigiIkJRUVF5cswAAOSFuLg4c27E+Ph4/fzzz5o+fbqcnZ01f/78LOeI/Pjjj/Xjjz+qSZMmKlKkiC5dumTedTjte6ePj48iIiL0n//8RzExMQoMDDS/V9yM8PBwNW/eXLGxsQoLC9OsWbO0bNkyvfvuu+Z3u4cfflglS5ZUnz59dOXKFQUEBGj+/Plas2ZNhv7Kli2rb775RhMnTlSlSpXMO1hnJi9+h0jvu+++04QJE9SiRQsVK1ZMhmHom2++0T///KP69evn/uQAuDUOm9Yctywnd8swjGt3gvP29s503enTp40XX3zRCAsLM1xcXIyIiAhjwIABxqVLl+zaSTK6d+9uTJgwwShevLjh6upqlCpVyvj8888z9Ll9+3ajWbNmhp+fn+Hm5mY89NBDdnfIMoz/3ZHiyy+/zLSuMWPGGJGRkYazs7PdHbauv6udYVy7M12/fv2MiIgIw9XV1QgLCzNeeuklIyEhwa5dZnfwMozM7/aVmZyeq5ze1S7Nt99+a9StW9fw9fU13N3djYiICKNVq1bG8uXLM7SdPHmyeYfB6+8wlmb16tVGkyZNjMDAQMPV1dUoWLCg0aRJE7tznXY3k1OnTtltm9mdSrZs2WLUqFHD8PLyMiSZ56p///5G5cqVjYCAAMPd3d0oVqyY8corrxh///13tsebto+lS5ca7du3N/z9/Q1PT0+jcePGxl9//XVTx5PVXe0yex0yew/FxcUZ9erVMzw8PIzAwECjc+fOxsyZMw1JxtatW7M9HsMwjJ07dxpPPfWUERQUZLi5uRlFihQxOnbsaL43MrvTy5EjR4yWLVsaAQEBho+Pj/H4448bcXFxRkREhN1dBG90nk+ePGl07NjRKFWqlOHt7W3ky5fPKFeunDF69GjjypUrdufjZu9ql7b8ueeeMwoWLGi4uroaBQoUMKpXr27ehTD9uahfv77dufzPf/6To7vaJSQkGJ07dzaCg4MNLy8vo2bNmsbPP/+cofb333/fqF69upE/f37zfHfu3Nk4cOBAtv0DAHC7pH03SXu4ubkZwcHBRu3atY3hw4dnuBvu9XeaW7dunfHEE08YERERhru7uxEUFGTUrl3bWLBggd12y5cvNypUqGC4u7sbkszvEFl918tsX4bxv+8EX331lVGmTBnDzc3NKFq0qPHBBx9k2P7PP/80GjRoYPj6+hoFChQwXn75ZeP777/P8H/9mTNnjFatWhn+/v6GzWaz26cyuRvfrfwOcf33lz/++MN45plnjOLFixuenp6Gn5+fUaVKFWPGjBkZjgeA9WyGkc3tFID/stls6t69u8aPH+/oUoDb4oUXXtCcOXN0+vTpPLmkDwAAAADuR1xqB+C+N3ToUIWHh6tYsWI6f/68vvvuO02dOlWDBg0idAIAAACAW0DwBOC+5+rqqlGjRunIkSO6cuWKoqKi9MEHH+jf//63o0sDAAAAgLsal9oBAAAAAADAEtnfrgkAAAAAAAC4SQRPAAAAAAAAsATBEwAAAAAAACzB5OIAAAD3satXr+rYsWPy8fGRzWZzdDkAAOAuYBiGzp07p/DwcDk5ZT+mieAJAADgPnbs2DEVLlzY0WUAAIC70OHDh1WoUKFs2xA8AQAA3Md8fHwkXfvi6Ovr6+BqAADA3eDs2bMqXLiw+T0iOwRPAAAAeeynn37SqFGjtHHjRh0/flzz589XixYtJEmXL1/WoEGDtGjRIu3bt09+fn6qV6+e3nnnHYWHh5t9JCcnq0+fPpozZ46SkpIUExOjCRMm2P1VMSEhQT179tSCBQskSc2bN9e4cePk7++f41rTLq/z9fUleAIAALmSk8v0mVwcAAAgj124cEEPPfSQxo8fn2HdxYsXtWnTJr3xxhvatGmTvvnmG/35559q3ry5XbtevXpp/vz5mjt3rtasWaPz58+radOmSk1NNdu0bdtWW7Zs0eLFi7V48WJt2bJF7du3t/z4AAAAcspmGIbh6CIAAADuVTabzW7EU2bWr1+vKlWq6ODBgypSpIgSExNVoEABffbZZ3r66acl/W8upkWLFqlhw4batWuXHnzwQf3666+qWrWqJOnXX39VtWrV9Mcff6hkyZI5qu/s2bPy8/NTYmIiI54AAECO5Ob7AyOeAAAAHCwxMVE2m828RG7jxo26fPmyGjRoYLYJDw9XdHS01q5dK0lat26d/Pz8zNBJkh555BH5+fmZbTKTnJyss2fP2j0AAACswhxPAAAADnTp0iX1799fbdu2Nf9ieOLECbm5uSkgIMCubUhIiE6cOGG2CQ4OztBfcHCw2SYzI0aM0JAhQ/LwCAAA95LU1FRdvnzZ0WXgDuDs7CwXF5cczeOUHYInAAAAB7l8+bLatGmjq1evasKECTdsbxiG3Ze/zL4IXt/megMGDFDv3r3N52l3pQEA4Pz58zpy5IiYkQdpvLy8FBYWJjc3t5vug+AJAADAAS5fvqzWrVtr//79+vHHH+3mRwgNDVVKSooSEhLsRj3Fx8erevXqZpuTJ09m6PfUqVMKCQnJcr/u7u5yd3fPwyMBANwLUlNTdeTIEXl5ealAgQK3PMoFdzfDMJSSkqJTp05p//79ioqKkpPTzc3WRPAEAABwm6WFTn/99ZdWrlypoKAgu/WVKlWSq6urli1bptatW0uSjh8/rri4OI0cOVKSVK1aNSUmJur3339XlSpVJEm//fabEhMTzXAKAICcunz5sgzDUIECBeTp6enocnAH8PT0lKurqw4ePKiUlBR5eHjcVD8ETwAAAHns/Pnz2rNnj/l8//792rJliwIDAxUeHq5WrVpp06ZN+u6775SammrOyRQYGCg3Nzf5+fmpc+fOevXVVxUUFKTAwED16dNHZcuWVb169SRJpUuX1uOPP67nn39ekyZNkiS98MILatq0aY7vaAcAwPUY6YT0bnaUU3oETwAAAHlsw4YNqlu3rvk8bU6lDh06KDY2VgsWLJAklS9f3m67lStXqk6dOpKk0aNHy8XFRa1bt1ZSUpJiYmI0Y8YMOTs7m+0///xz9ezZ07z7XfPmzTV+/HgLjwwAACB3bAazhgEAANy3zp49Kz8/PyUmJtrNMwUAuL9cunRJ+/fvV2Rk5E1fUoV7T1bvi9x8f2DEEwAAAAAAyNTU2Ljbur8usdG3dX+5deDAAUVGRmrz5s0ZRi4jc7d+sR4AAAAAAABy7cCBA7LZbNqyZYujS7EMwRMAAAAAAMAdLCUlxdEl3DSCJwAAAAAAcFdavHixatasKX9/fwUFBalp06bau3evuT4lJUU9evRQWFiYPDw8VLRoUY0YMSLbPqdPn67SpUvLw8NDpUqV0oQJE7Jtv3PnTjVu3Fj58uVTSEiI2rdvr7///ttcf/XqVb377rsqUaKE3N3dVaRIEb399tuSpMjISElShQoVZLPZzJuMdOzYUS1atNCIESMUHh6uBx54QJK0fft2PfbYY/L09FRQUJBeeOEFnT9/3txX2nbvvfeewsLCFBQUpO7du+vy5ctmmwkTJigqKkoeHh4KCQlRq1atcnCmbx7BEwAAAAAAuCtduHBBvXv31vr167VixQo5OTnpiSee0NWrVyVJY8eO1YIFC/TFF19o9+7dmjVrlooWLZplf1OmTNHAgQP19ttva9euXRo+fLjeeOMNzZw5M9P2x48fV+3atVW+fHlt2LBBixcv1smTJ9W6dWuzzYABA/Tuu+/qjTfe0M6dOzV79myFhIRIkn7//XdJ0vLly3X8+HF988035nYrVqzQrl27tGzZMn333Xe6ePGiHn/8cQUEBGj9+vX68ssvtXz5cvXo0cOuppUrV2rv3r1auXKlZs6cqRkzZmjGjBmSrt15t2fPnho6dKh2796txYsX69FHH831ec8NJhcHAAAAAAB3pZYtW9o9nzZtmoKDg7Vz505FR0fr0KFDioqKUs2aNWWz2RQREZFtf2+99Zbef/99Pfnkk5KujUjauXOnJk2apA4dOmRoP3HiRFWsWFHDhw83l33yyScqXLiw/vzzT4WFhenDDz/U+PHjze2LFy+umjVrSpIKFCggSQoKClJoaKhd397e3po6darc3NwkXQvFkpKS9Omnn8rb21uSNH78eDVr1kzvvvuuGWYFBARo/PjxcnZ2VqlSpdSkSROtWLFCzz//vA4dOiRvb281bdpUPj4+ioiIUIUKFXJ2sm8SI54AAAAAAMBdae/evWrbtq2KFSsmX19f89K1Q4cOSbp26dmWLVtUsmRJ9ezZU0uXLs2yr1OnTunw4cPq3Lmz8uXLZz6GDRtmd/leehs3btTKlSvt2pcqVcqsbdeuXUpOTlZMTEyuj61s2bJm6CRJu3bt0kMPPWSGTpJUo0YNXb16Vbt37zaXlSlTRs7OzubzsLAwxcfHS5Lq16+viIgIFStWTO3bt9fnn3+uixcv5rq23GDEEwAAAAAAuCs1a9ZMhQsX1pQpUxQeHq6rV68qOjranIy7YsWK2r9/v3744QctX75crVu3Vr169fTVV19l6Cvt8rwpU6aoatWqduvSBznXb5M24uh6YWFh2rdv300fW/qASZIMw5DNZsu0bfrlrq6uGdalHZuPj482bdqkVatWaenSpXrzzTcVGxur9evXy9/f/6ZrzQ4jngAAAAAAwF3n9OnT2rVrlwYNGqSYmBiVLl1aCQkJGdr5+vrq6aef1pQpUzRv3jx9/fXXOnPmTIZ2ISEhKliwoPbt26cSJUrYPdJGUl2vYsWK2rFjh4oWLZphG29vb0VFRcnT01MrVqzIdPu0EU2pqak3PN4HH3xQW7Zs0YULF8xlv/zyi5ycnMzJx3PCxcVF9erV08iRI7Vt2zYdOHBAP/74Y463z62cj3iKjbWsCNyFeD8gPd4PSI/3AwDgHjU1Ni5P+ukSG50n/QD3u4CAAAUFBWny5MkKCwvToUOH1L9/f7s2o0ePVlhYmMqXLy8nJyd9+eWXCg0NzXJ0T2xsrHr27ClfX181atRIycnJ2rBhgxISEtS7d+8M7bt3764pU6bomWee0Wuvvab8+fNrz549mjt3rqZMmSIPDw/169dPffv2lZubm2rUqKFTp05px44d6ty5s4KDg+Xp6anFixerUKFC8vDwkJ+fX6a1tWvXToMHD1aHDh0UGxurU6dO6eWXX1b79u3N+Z1u5LvvvtO+ffv06KOPKiAgQIsWLdLVq1dVsmTJHG1/M7jUDgAAAAAAZOpODkqdnJw0d+5c9ezZU9HR0SpZsqTGjh2rOnXqmG3y5cund999V3/99ZecnZ318MMPa9GiRXJyyvwCsC5dusjLy0ujRo1S37595e3trbJly6pXr16Ztg8PD9cvv/yifv36qWHDhkpOTlZERIQef/xxcx9vvPGGXFxc9Oabb+rYsWMKCwvTiy++KOna6KOxY8dq6NChevPNN1WrVi2tWrUq0315eXlpyZIl+ve//62HH35YXl5eatmypT744IMcnzN/f3998803io2N1aVLlxQVFaU5c+aoTJkyOe4jt2yGYRg5aslfsJEe7wekx/sB6fF+AO4qZ8+elZ+fnxITE+Xr6+vocoA7GiOecC+7dOmS9u/fr8jISHl4eDi6HNwhsnpf5Ob7A3M8AQAAAAAAwBIETwAAAAAAALAEwRMAAAAAAAAsQfAEAAAAAAAASxA8AQAAAAAAwBIETwAAAAAAALAEwRMAAAAAAAAsQfAEAAAAAAAASxA8AQAAAAAAwBIuji4AAAAAAADcmeJip97W/UXHdrmt+7vdDhw4oMjISG3evFnly5d3dDm3BSOeAAAAAAAAboPChQvr+PHjio6OliStWrVKNptN//zzj2MLsxDBEwAAAAAAwG3g7Oys0NBQubjk7gK0lJQUiyqyHsETAAAAAAC4Ky1evFg1a9aUv7+/goKC1LRpU+3du9dcn5KSoh49eigsLEweHh4qWrSoRowYkWV/HTt2VIsWLTRkyBAFBwfL19dXXbt2tQt+kpOT1bNnTwUHB8vDw0M1a9bU+vXrzfUJCQlq166dChQoIE9PT0VFRWn69OmSrl1qZ7PZtGXLFh04cEB169aVJAUEBMhms6ljx46SpDp16qhHjx7q3bu38ufPr/r160uSVq9erSpVqsjd3V1hYWHq37+/rly5Yu67Tp066tmzp/r27avAwECFhoYqNjbW7hhjY2NVpEgRubu7Kzw8XD179ry5k59DzPEEAAAAALfR1Ni4POurS2x0nvUF3I0uXLig3r17q2zZsrpw4YLefPNNPfHEE9qyZYucnJw0duxYLViwQF988YWKFCmiw4cP6/Dhw9n2uWLFCnl4eGjlypU6cOCAOnXqpPz58+vtt9+WJPXt21dff/21Zs6cqYiICI0cOVINGzbUnj17FBgYqDfeeEM7d+7UDz/8oPz582vPnj1KSkrKsJ/ChQvr66+/VsuWLbV79275+vrK09PTXD9z5ky99NJL+uWXX2QYho4eParGjRurY8eO+vTTT/XHH3/o+eefl4eHh124NHPmTPXu3Vu//fab1q1bp44dO6pGjRqqX7++vvrqK40ePVpz585VmTJldOLECW3dujVvXowsEDwBAAAAAIC7UsuWLe2eT5s2TcHBwdq5c6eio6N16NAhRUVFqWbNmrLZbIqIiLhhn25ubvrkk0/k5eWlMmXKaOjQoXrttdf01ltvKSkpSRMnTtSMGTPUqFEjSdKUKVO0bNkyTZs2Ta+99poOHTqkChUqqHLlypKkokWLZrofZ2dnBQYGSpKCg4Pl7+9vt75EiRIaOXKk+XzgwIEqXLiwxo8fL5vNplKlSunYsWPq16+f3nzzTTk5XbuorVy5cho8eLAkKSoqSuPHj9eKFStUv359HTp0SKGhoapXr55cXV1VpEgRValS5cYn+hZwqR0AAAAAALgr7d27V23btlWxYsXk6+uryMhISdKhQ4ckXbt0bsuWLSpZsqR69uyppUuX3rDPhx56SF5eXubzatWq6fz58zp8+LD27t2ry5cvq0aNGuZ6V1dXValSRbt27ZIkvfTSS5o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5zurYcnrMmjXLus2wYcOsy//66y+jdOnSObbfvHmzERoammP/jz/+uJGUlJTlMUdFRRmSjKioKOOXX34xAgICsu3n3XffzfnFBAAAAO4SXGqXwbVr1+Tp6akWLVrokUceUfny5eXt7a34+Hjt3LlTEyZM0KFDh/T222/rX//6l7p27WqzfXJystq3b6/z58/Ly8tLL774oho0aKDAwEBdvXpVhw4d0vr16/X111/fdI3Lly9X69atlZqaqtKlS+vFF19UrVq15O3trWPHjmnBggWaO3euvv/+e3Xu3Pmm9vXxxx9b7yISGRmpHj16qGrVqvLw8NCBAwc0c+ZM/fDDD5o5c6Z8fHyyvNXtJ598os6dO0uS3Nzc9Nxzz6lZs2YKDg7WxYsXtX37di1evFh///23dZu33npL/fv3V9euXbVx40bVqFFDs2bNsunXxcUly5oXLlyo7du3q1KlSnr55ZcVGRmppKQkbd261dpm0KBB+vDDDyVJ4eHhGjhwoKpVq6ZLly5p0aJFmjRpkhITE9WyZUv98ccfeuCBB7I9R2+88YbWrVunNm3a6JlnnlFYWJhOnTqlDz/8UN9//7327t2rl19+mbtK3GUKw2dEusmTJ2vDhg2qWbOmXn75ZUVERCg+Pl5z5szRggULdOLECTVt2lQ7d+6Ut7e3zbYXL17UI488ov3790uS2rRpo2effVahoaE6cOCAJk2apDVr1mjt2rVq2bKlfvnlF5vr00+dOqWuXbsqJSVFgYGB6t27tx566CEVLVpUV65c0f79+/Xzzz/na3Rm8eLFtWPHDm3YsEHPPvuspOufVQ8++KBNu+wunWnbtq2OHTumPn36qHXr1vLz89Pff/9t/avtsWPH1LBhQyUkJMhisahLly5q3769AgICtGvXLr3//vvatm2bvvnmG3Xu3DnHvySeOHFCjz32mBwdHfX222+rXr16cnFx0dq1azVixAidO3dOgwcPVrNmzVSxYsU8nwMAAACgULJ38nUnOX36tJGQkJDt+uTkZKNx48bWkTTXrl2zWb9y5co8jVa4evWqkZiYmO/6Ll68aAQFBRmSjCZNmhiXLl3Kst20adNsRubcKKcRT4cPHzY8PDys67Mb0ZQ+usjBwcHYs2ePzbpjx45Z+wgMDMxyREO6I0eOZFqWcdRAbpRhBEHDhg2NK1euZNlu+/bthoODgyHJiIyMzPJ1/vHHH61tatasmWn9jaNdRo4cmalNWlqa0aRJE0OS4eTkZMTHx+d6DCg87vTPiBtHBTVv3jzLn+ERI0ZY2/Tv3z/T+v79+1vXDx06NNP6tLQ0o2PHjtY2kydPtlk/c+bMHEc0pUtKSjIuX76caXn6thlHPKXL+HO4atWqbPs2DNsRTw4ODtmOZjQMw2jbtq217YwZMzKtv3LlitGgQQNrmx9++CFTm/TPrvTX/+jRo5na/PLLL4bFYjEkGX379s2xfgAAAOBuwBxPGRQtWlS+vr7ZrndxcdG7774rSTp06JDNaBpJNrcbffjhh7Ptx8nJKdMIg7yYNWuWTp06JTc3N3366afy8PDIst1zzz2nmjVrWrfJjw8++ECXL19WaGioPvroIzk5ZT0obvjw4SpevLjS0tL0ySef2KybOHGiLl++LEmaOnVqjpOmFdTEng4ODpoxY0am2yWnmzJlinU+munTp2f5Oj/66KPWkRR//PGHNmzYkO3+qlevrtdeey3TcovFon79+km6Pjpm/fr1+T0U3MHu9M+IjFxdXTV9+vQsf4aHDBli/bmcOXOmzTxLycnJmjFjhiTp/vvvt5lnKZ3FYtHkyZMVEBAgSZo0aZLN+vTj9PPzy/Hn383N7bZNfNmlSxc1btw4y3UnTpzQwoULJUlNmzZVt27dMrVxdXXVxx9/bD2fNx7zjSZOnKjixYtnWl6vXj3rnbR++eWXfB0DAAAAUBgRPOUgOTlZhw8f1q5duxQXF6e4uDgZhmFdv23bNpv2GSdAzG/gkxf//e9/JUlRUVEKDAzMsW36L7X5DT7S99GqVSu5ubll287JyUm1a9fOch/ff/+9pOuXs92u263WrVs3y4nE061YsULS9V+kH3rooWzbPffcc5m2yUqHDh2sExbfqHr16tZ/p1+qhLvTnfYZkVGTJk0UGhqa5ToHBwfrpbAJCQnavHmzdd2mTZt07tw5SdfDmuxu8ert7a127dpJknbt2qUTJ05Y16UfZ0JCgvUzxd46duyY7bpVq1YpNTVVkrIMndKVLl3aGl6tXr3aus2NfH191aJFi2z7Sf+M4PMBAAAA9wKCpxtcunRJo0eP1gMPPCBPT0+FhYWpYsWKqlSpkipVqqSqVata2/7zzz8229arV09lypSRJMXExKhmzZoaPXq01q1bp5SUlFuubePGjZKkpUuXZrqT042P9957T5LtCIvcJCYmau/evZKuj1TKbR9fffVVpn1cvXpVcXFxkqT69etnG84UtMqVK2e7Ljk52TqXVPpIg+xUrVpVzs7OkmQ9jqyUL18+23X+/v7Wf1+4cCHH/aHwuZM/IzK6ce6jG6WPipRs3+sZ/53bz0vG9Rm3a926tXVk2GOPPaZHHnlE48aN06ZNm7INa8yW02fEzRzz5cuXsw2OIiIi5OCQ/X+v6Z8RfD4AAADgXsDk4hkcPHhQjzzyiA4cOJCn9klJSTbPnZ2dtXjxYrVt21a7d+/Whg0brJdrubu7KyoqSp06ddJTTz2V7SiC7Fy9etU6CiE/0i95y4v4+Ph893/jPs6ePWsd8XE7b4Hr5+eX7bqMt40PCgrKsR9nZ2cFBATo5MmTOnv2bLbtsrvMUZLNL5z2+iUb5riTPyNulNuoyIw/Cxnf6xn/ndvPS3BwcJbbBQQEaNGiRXr66ad17NgxrVq1SqtWrZJ0faRUo0aN1LVrV7Vs2TJvB1MAcvqMKIhjziinzwfp/z8j0i//BQAAAO5mBE8ZdOrUSQcOHJDFYlHXrl3Vvn17VahQQcWKFbPOHZSWlmb9hTDjJTXp7r//fu3YsUOLFy/W4sWLtWbNGu3bt09JSUlasmSJlixZorFjx+qHH37I9RfDjDIGGO3atdPrr79+i0eb8z5iYmJyvOQko+zuNHe7RjtJyvMv6XmpKavXFZDu7M+IG+X2Xs/L+/xW+qhfv7727t2rr7/+Wj/88IN+/vlnHT16VOfPn9c333yjb775Rk2bNtU333yTa1BTEG41yEvH5wMAAACQPwRP//Pnn39q7dq1kqTBgwfrrbfeyrJdxtEz2XF0dFSbNm3Upk0bSdcnrv3xxx81efJkbdq0SZs2bVKPHj2sk9nmhZubmzw8PHT58mWdO3cuxwl7b1b6RMHS9VFMN7MPf39/OTg4KC0tTcePHy/I8m5axpEOuV16eO3aNesohoyXzAF3+mfEjU6dOpXj+owjHDO+1zP+++TJk/rXv/6Vp31k9fPi5uamjh07WudX2r9/v77//ntNmjRJf/31l5YuXaohQ4Zo3LhxuR+QiTLWfurUKZUqVSrbtrkdMwAAAABbzPH0Pzt37rT+u3379tm2S59nKT9CQkL07LPPav369apWrZok6bvvvst0GU5u0ueO+fXXX/N1CV1eFStWzHoXphUrVtzUX/adnZ2tgdUvv/xyU30U9EgpV1dXRURESJJ+//33HNtu2bJFV69elSRTwj0UXoXhMyKjnO7KeOP6jO/1jP/O7efljz/+yHK77JQpU0Z9+vTRhg0brHe0/OKLL3LdLiMzRlLezDF7eHgoPDy8wGsBAAAA7jYET/9z7do1679zCnU++uijm96Hs7OzoqKirPvL75xNrVu3lnR9cuMPP/zwpuvIyz72799vnTw8v1q1aiVJOnDgwE3d0Sr9bnoZb/F+qxo1aiTp+t23fvvtt2zbpd9GPuM2gFQ4PiMyWrZsmc2d5jJKS0vTnDlzJF0fEZgedknX77iWPjH4nDlzsp2n7MKFC9bQ6P7778/XnG7e3t7Wyc9vnIA9NxnvtllQnxHR0dHWS/FmzpyZbbvDhw9r+fLl1m2cnBg0DAAAAOSG4Ol/0kfESLL+QnajKVOm6Ntvv822j19++cV6V7ispKSkaM2aNZKkIkWKqFixYvmq8YUXXlDRokUlSa+//rp+/PHHHNv/+uuv+vnnn/O1j1dffdU6V80LL7yQ6+iNH374Qdu3b7dZ1rt3b3l6ekqSevTokePd4Y4ePZppWfovsPv37y+w+VRefPFF64S+zz//vBITEzO1WbZsmfWXzpo1a+Z6VzDcWwrDZ0RGycnJ6tGjR5bB0dtvv60dO3ZIkp599lnrz7x0fYRg9+7dJV0f5TV8+PBM2xuGod69e1tDo969e9usX7p0abahl3T9DprpI4fyO2ooY8C1b9++fG2bndDQUD322GOSrtf+8ccfZ2qTkpKiZ5991joi8sZjBgCgsDt16pQsFos++OADVa1aVW5ubqpYsaJ1qgEAuFn8ufZ/qlatqsjISMXFxWnKlCk6d+6cOnbsqJCQEB05ckRz587VV199pbp16+rXX3/Nso+VK1fqzTffVP369dWiRQtVrlxZxYoVU1JSkv766y999NFH2rx5sySpe/fu+f5rube3tz7//HM1a9ZMycnJatmypZ544gk98cQTKlu2rKTrc8Vs2rRJCxcu1Pbt2zVx4kQ9/PDDed5HeHi4PvroI3Xt2lVnz55V3bp11alTJ7Vs2VKlSpXStWvXdPToUf3xxx/66quvtG/fPi1evNjmVuXBwcGaMmWKnnnmGcXHx6tmzZp67rnn1KxZMwUHB+vixYuKi4vTokWLtGfPnky/PNapU0ezZs1SfHy8+vXrp//85z/y8fGRdH1ESFhYWL7OmyRVqlRJr7zyit59913t2LFD1apV08CBA1W1alVdvnxZixcv1oQJE5SamioXFxdNnTo13/vA3a0wfEZkVKNGDS1evFh169bVyy+/rIiICMXHx2vOnDmaP3++JKlEiRJZ3qjgjTfe0DfffKP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" ] @@ -218,10 +218,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.384418Z", - "iopub.status.busy": "2024-03-13T13:47:04.384238Z", - "iopub.status.idle": "2024-03-13T13:47:04.387341Z", - "shell.execute_reply": "2024-03-13T13:47:04.386958Z" + "iopub.execute_input": "2024-04-04T17:24:08.255985Z", + "iopub.status.busy": "2024-04-04T17:24:08.255786Z", + "iopub.status.idle": "2024-04-04T17:24:08.259124Z", + "shell.execute_reply": "2024-04-04T17:24:08.258724Z" } }, "outputs": [], @@ -238,16 +238,16 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.388944Z", - "iopub.status.busy": "2024-03-13T13:47:04.388788Z", - "iopub.status.idle": "2024-03-13T13:47:04.570553Z", - "shell.execute_reply": "2024-03-13T13:47:04.570143Z" + "iopub.execute_input": "2024-04-04T17:24:08.260941Z", + "iopub.status.busy": "2024-04-04T17:24:08.260615Z", + "iopub.status.idle": "2024-04-04T17:24:08.431309Z", + "shell.execute_reply": "2024-04-04T17:24:08.430736Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -277,16 +277,16 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.572283Z", - "iopub.status.busy": "2024-03-13T13:47:04.572103Z", - "iopub.status.idle": "2024-03-13T13:47:04.732769Z", - "shell.execute_reply": "2024-03-13T13:47:04.732275Z" + "iopub.execute_input": "2024-04-04T17:24:08.433491Z", + "iopub.status.busy": "2024-04-04T17:24:08.433133Z", + "iopub.status.idle": "2024-04-04T17:24:08.605948Z", + "shell.execute_reply": "2024-04-04T17:24:08.605371Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -315,10 +315,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.734713Z", - "iopub.status.busy": "2024-03-13T13:47:04.734350Z", - "iopub.status.idle": "2024-03-13T13:47:04.769138Z", - "shell.execute_reply": "2024-03-13T13:47:04.768688Z" + "iopub.execute_input": "2024-04-04T17:24:08.607923Z", + "iopub.status.busy": "2024-04-04T17:24:08.607745Z", + "iopub.status.idle": "2024-04-04T17:24:08.645741Z", + "shell.execute_reply": "2024-04-04T17:24:08.645235Z" } }, "outputs": [ @@ -376,10 +376,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.770940Z", - "iopub.status.busy": "2024-03-13T13:47:04.770664Z", - "iopub.status.idle": "2024-03-13T13:47:04.806462Z", - "shell.execute_reply": "2024-03-13T13:47:04.805941Z" + "iopub.execute_input": "2024-04-04T17:24:08.647805Z", + "iopub.status.busy": "2024-04-04T17:24:08.647616Z", + "iopub.status.idle": "2024-04-04T17:24:08.687472Z", + "shell.execute_reply": "2024-04-04T17:24:08.687020Z" } }, "outputs": [], @@ -395,10 +395,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.808597Z", - "iopub.status.busy": "2024-03-13T13:47:04.808192Z", - "iopub.status.idle": "2024-03-13T13:47:04.823465Z", - "shell.execute_reply": "2024-03-13T13:47:04.822986Z" + "iopub.execute_input": "2024-04-04T17:24:08.689806Z", + "iopub.status.busy": "2024-04-04T17:24:08.689482Z", + "iopub.status.idle": "2024-04-04T17:24:08.707033Z", + "shell.execute_reply": "2024-04-04T17:24:08.706496Z" } }, "outputs": [], @@ -425,16 +425,16 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:04.825208Z", - "iopub.status.busy": "2024-03-13T13:47:04.825043Z", - "iopub.status.idle": "2024-03-13T13:47:06.160941Z", - "shell.execute_reply": "2024-03-13T13:47:06.160429Z" + "iopub.execute_input": "2024-04-04T17:24:08.709491Z", + "iopub.status.busy": "2024-04-04T17:24:08.709084Z", + "iopub.status.idle": "2024-04-04T17:24:10.138884Z", + "shell.execute_reply": "2024-04-04T17:24:10.138356Z" } }, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -487,10 +487,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:06.162799Z", - "iopub.status.busy": "2024-03-13T13:47:06.162635Z", - "iopub.status.idle": "2024-03-13T13:47:06.949817Z", - "shell.execute_reply": "2024-03-13T13:47:06.949357Z" + "iopub.execute_input": "2024-04-04T17:24:10.141139Z", + "iopub.status.busy": "2024-04-04T17:24:10.140648Z", + "iopub.status.idle": "2024-04-04T17:24:10.986476Z", + "shell.execute_reply": "2024-04-04T17:24:10.985968Z" } }, "outputs": [ @@ -500,7 +500,7 @@ "text": [ "name value (rounded) at limit\n", "--------- ------------------ ----------\n", - "bkg_yield 118204 False" + "bkg_yield 118325 False" ] }, { @@ -508,7 +508,7 @@ "output_type": "stream", "text": [ "\n", - "sig_yield 20000.6 False" + "sig_yield 19957.6 False" ] }, { @@ -516,7 +516,7 @@ "output_type": "stream", "text": [ "\n", - "lambda -0.00200807 False" + "lambda -0.0020026 False" ] }, { @@ -524,7 +524,7 @@ "output_type": "stream", "text": [ "\n", - "mu 5279.09 False" + "mu 5278.94 False" ] }, { @@ -554,10 +554,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:06.951634Z", - "iopub.status.busy": "2024-03-13T13:47:06.951461Z", - "iopub.status.idle": "2024-03-13T13:47:06.956156Z", - "shell.execute_reply": "2024-03-13T13:47:06.955682Z" + "iopub.execute_input": "2024-04-04T17:24:10.988620Z", + "iopub.status.busy": "2024-04-04T17:24:10.988289Z", + "iopub.status.idle": "2024-04-04T17:24:10.992841Z", + "shell.execute_reply": "2024-04-04T17:24:10.992431Z" } }, "outputs": [], @@ -596,10 +596,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:06.958029Z", - "iopub.status.busy": "2024-03-13T13:47:06.957722Z", - "iopub.status.idle": "2024-03-13T13:47:07.149204Z", - "shell.execute_reply": "2024-03-13T13:47:07.148745Z" + "iopub.execute_input": "2024-04-04T17:24:10.994503Z", + "iopub.status.busy": "2024-04-04T17:24:10.994355Z", + "iopub.status.idle": "2024-04-04T17:24:11.194962Z", + "shell.execute_reply": "2024-04-04T17:24:11.194441Z" } }, "outputs": [ @@ -615,7 +615,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -657,10 +657,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:07.151268Z", - "iopub.status.busy": "2024-03-13T13:47:07.150795Z", - "iopub.status.idle": "2024-03-13T13:47:07.206424Z", - "shell.execute_reply": "2024-03-13T13:47:07.205998Z" + "iopub.execute_input": "2024-04-04T17:24:11.197231Z", + "iopub.status.busy": "2024-04-04T17:24:11.196859Z", + "iopub.status.idle": "2024-04-04T17:24:11.258235Z", + "shell.execute_reply": "2024-04-04T17:24:11.257747Z" } }, "outputs": [ @@ -668,9 +668,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "{: array([-0.12073301, -0.01059971, -0.0481363 , ..., 0.12997376,\n", - " 1.12237074, 0.98933077]), : array([ 1.12073087, 1.01059843, 1.04813473, ..., 0.87002607,\n", - " -0.12236305, 0.01067587])}" + "{: array([-0.19858546, 0.38786929, -0.15793436, ..., 1.12246654,\n", + " 1.12246654, 1.11752534]), : array([ 1.19858404, 0.61213443, 1.1579333 , ..., -0.12245638,\n", + " -0.12245638, -0.11751522])}" ] }, { @@ -694,10 +694,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:07.209573Z", - "iopub.status.busy": "2024-03-13T13:47:07.208771Z", - "iopub.status.idle": "2024-03-13T13:47:07.221340Z", - "shell.execute_reply": "2024-03-13T13:47:07.220930Z" + "iopub.execute_input": "2024-04-04T17:24:11.260569Z", + "iopub.status.busy": "2024-04-04T17:24:11.260197Z", + "iopub.status.idle": "2024-04-04T17:24:11.266954Z", + "shell.execute_reply": "2024-04-04T17:24:11.266471Z" } }, "outputs": [ @@ -719,7 +719,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "20000.567626285625" + "19957.63364768406" ] }, { @@ -747,7 +747,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "118204.20245608203" + "118325.44779441284" ] }, { @@ -775,16 +775,16 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:07.224392Z", - "iopub.status.busy": "2024-03-13T13:47:07.223581Z", - "iopub.status.idle": "2024-03-13T13:47:08.341128Z", - "shell.execute_reply": "2024-03-13T13:47:08.340595Z" + "iopub.execute_input": "2024-04-04T17:24:11.269161Z", + "iopub.status.busy": "2024-04-04T17:24:11.268980Z", + "iopub.status.idle": "2024-04-04T17:24:12.414486Z", + "shell.execute_reply": "2024-04-04T17:24:12.413891Z" } }, "outputs": [ { "data": { - "image/png": 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" ] @@ -825,10 +825,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:08.342954Z", - "iopub.status.busy": "2024-03-13T13:47:08.342790Z", - "iopub.status.idle": "2024-03-13T13:47:08.347158Z", - "shell.execute_reply": "2024-03-13T13:47:08.346798Z" + "iopub.execute_input": "2024-04-04T17:24:12.416568Z", + "iopub.status.busy": "2024-04-04T17:24:12.416397Z", + "iopub.status.idle": "2024-04-04T17:24:12.421466Z", + "shell.execute_reply": "2024-04-04T17:24:12.421059Z" } }, "outputs": [ @@ -836,7 +836,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Correlation between m and t: 0.03313449258287393" + "Correlation between m and t: 0.02946674925287552" ] }, { @@ -863,16 +863,16 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:08.349039Z", - "iopub.status.busy": "2024-03-13T13:47:08.348676Z", - "iopub.status.idle": "2024-03-13T13:47:08.507422Z", - "shell.execute_reply": "2024-03-13T13:47:08.506993Z" + "iopub.execute_input": "2024-04-04T17:24:12.423472Z", + "iopub.status.busy": "2024-04-04T17:24:12.423137Z", + "iopub.status.idle": "2024-04-04T17:24:12.588313Z", + "shell.execute_reply": "2024-04-04T17:24:12.587744Z" } }, "outputs": [ { "data": { - "image/png": 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NVlaWwuGwjhw54tYcPnxY4XDYrQEAAHe3Dl0TEx8fr7S0tIh1cXFxGjhwoLs+Ly9P+fn5Sk1NVWpqqvLz89W/f3/l5uZKkhzH0Zw5c7Rs2TINHDhQiYmJWr58udLT090LhUeMGKEZM2Zo7ty52rJliyRp3rx5ys7O1vDhw2/5oAEAgP06fGFvW1asWKG6ujotXLhQoVBImZmZ2r9/v+Lj492ajRs3KioqSjNnzlRdXZ0mT56s7du3q0+fPm7Nzp07tWTJEvcuppycHBUUFNzu4QIAAEt5jDGmuwdxJ9TU1MhxHIXDYa6PQbvc99w7t2U/H6195LbsBwDuRh05f/PbSQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYKaq7BwB0h/uee6e7hwAAuEXMxAAAACt1KMRs3rxZo0ePVkJCghISEpSVlaXf/OY37nZjjFavXi2/369+/fpp0qRJOnnyZMQ+6uvrtXjxYg0aNEhxcXHKycnRxYsXI2pCoZACgYAcx5HjOAoEArp69WrnjxIAAPQ6HQoxQ4cO1dq1a/Xee+/pvffe07e//W099thjblBZv369NmzYoIKCAh09elQ+n09Tp05VbW2tu4+8vDzt3r1bu3bt0qFDh3Tt2jVlZ2fr+vXrbk1ubq4qKipUWFiowsJCVVRUKBAI3KZDBgAAvYHHGGNuZQeJiYn6p3/6J/3N3/yN/H6/8vLytHLlSkmfz7p4vV6tW7dO8+fPVzgc1uDBg7Vjxw7NmjVLknTp0iUlJydr7969mj59uk6dOqWRI0eqrKxMmZmZkqSysjJlZWXp9OnTGj58eLvGVVNTI8dxFA6HlZCQcCuHiF7oTl4T89HaR+7YvgGgt+vI+bvT18Rcv35du3bt0meffaasrCxVVlYqGAxq2rRpbk1sbKwmTpyokpISSVJ5ebkaGxsjavx+v9LS0tya0tJSOY7jBhhJGj9+vBzHcWtupr6+XjU1NRELAADovTocYo4fP64/+7M/U2xsrBYsWKDdu3dr5MiRCgaDkiSv1xtR7/V63W3BYFAxMTEaMGBAqzVJSUktPjcpKcmtuZk1a9a419A4jqPk5OSOHhoAALBIh0PM8OHDVVFRobKyMv3t3/6tnnrqKb3//vvudo/HE1FvjGmxrrnmNTerb2s/q1atUjgcdpcLFy6095AAAICFOhxiYmJi9PWvf13jxo3TmjVrNGbMGP30pz+Vz+eTpBazJdXV1e7sjM/nU0NDg0KhUKs1ly9fbvG5V65caTHL80WxsbHuXVM3FgAA0Hvd8nNijDGqr69XSkqKfD6fioqK3G0NDQ0qLi7WhAkTJEkZGRmKjo6OqKmqqtKJEyfcmqysLIXDYR05csStOXz4sMLhsFsDAADQoSf2/vjHP9bDDz+s5ORk1dbWateuXfrtb3+rwsJCeTwe5eXlKT8/X6mpqUpNTVV+fr769++v3NxcSZLjOJozZ46WLVumgQMHKjExUcuXL1d6erqmTJkiSRoxYoRmzJihuXPnasuWLZKkefPmKTs7u913JgEAgN6vQyHm8uXLCgQCqqqqkuM4Gj16tAoLCzV16lRJ0ooVK1RXV6eFCxcqFAopMzNT+/fvV3x8vLuPjRs3KioqSjNnzlRdXZ0mT56s7du3q0+fPm7Nzp07tWTJEvcuppycHBUUFNyO4wUAAL3ELT8npqfiOTFoDc+JAYCeqUueEwMAANCd+BVr4Da72SwPszMAcPsxEwMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlToUYtasWaMHHnhA8fHxSkpK0ne+8x2dOXMmosYYo9WrV8vv96tfv36aNGmSTp48GVFTX1+vxYsXa9CgQYqLi1NOTo4uXrwYURMKhRQIBOQ4jhzHUSAQ0NWrVzt3lAAAoNfpUIgpLi7WM888o7KyMhUVFelPf/qTpk2bps8++8ytWb9+vTZs2KCCggIdPXpUPp9PU6dOVW1trVuTl5en3bt3a9euXTp06JCuXbum7OxsXb9+3a3Jzc1VRUWFCgsLVVhYqIqKCgUCgdtwyAAAoDfwGGNMZ9985coVJSUlqbi4WN/85jdljJHf71deXp5Wrlwp6fNZF6/Xq3Xr1mn+/PkKh8MaPHiwduzYoVmzZkmSLl26pOTkZO3du1fTp0/XqVOnNHLkSJWVlSkzM1OSVFZWpqysLJ0+fVrDhw9vc2w1NTVyHEfhcFgJCQmdPUT0Uvc9906Xft5Hax/p0s8DAFt15Px9S9fEhMNhSVJiYqIkqbKyUsFgUNOmTXNrYmNjNXHiRJWUlEiSysvL1djYGFHj9/uVlpbm1pSWlspxHDfASNL48ePlOI5b01x9fb1qamoiFgAA0Ht1OsQYY7R06VI99NBDSktLkyQFg0FJktfrjaj1er3utmAwqJiYGA0YMKDVmqSkpBafmZSU5NY0t2bNGvf6GcdxlJyc3NlDAwAAFuh0iFm0aJF+//vf65e//GWLbR6PJ+K1MabFuuaa19ysvrX9rFq1SuFw2F0uXLjQnsMAAACW6lSIWbx4sfbs2aODBw9q6NCh7nqfzydJLWZLqqur3dkZn8+nhoYGhUKhVmsuX77c4nOvXLnSYpbnhtjYWCUkJEQsAACg9+pQiDHGaNGiRXrrrbf0H//xH0pJSYnYnpKSIp/Pp6KiInddQ0ODiouLNWHCBElSRkaGoqOjI2qqqqp04sQJtyYrK0vhcFhHjhxxaw4fPqxwOOzWAACAu1tUR4qfeeYZvfnmm/q3f/s3xcfHuzMujuOoX79+8ng8ysvLU35+vlJTU5Wamqr8/Hz1799fubm5bu2cOXO0bNkyDRw4UImJiVq+fLnS09M1ZcoUSdKIESM0Y8YMzZ07V1u2bJEkzZs3T9nZ2e26MwkAAPR+HQoxmzdvliRNmjQpYv0vfvELPf3005KkFStWqK6uTgsXLlQoFFJmZqb279+v+Ph4t37jxo2KiorSzJkzVVdXp8mTJ2v79u3q06ePW7Nz504tWbLEvYspJydHBQUFnTlGAADQC93Sc2J6Mp4Tg9bwnBgA6Jm67DkxAAAA3YUQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACtFdfcAgK5w33PvdPcQAAC3GTMxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKPLEX6ALNnxj80dpHumkkANB7MBMDAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGClDoeY3/3ud3r00Ufl9/vl8Xj09ttvR2w3xmj16tXy+/3q16+fJk2apJMnT0bU1NfXa/HixRo0aJDi4uKUk5OjixcvRtSEQiEFAgE5jiPHcRQIBHT16tUOHyAAAOidOhxiPvvsM40ZM0YFBQU33b5+/Xpt2LBBBQUFOnr0qHw+n6ZOnara2lq3Ji8vT7t379auXbt06NAhXbt2TdnZ2bp+/bpbk5ubq4qKChUWFqqwsFAVFRUKBAKdOEQAANAbeYwxptNv9ni0e/dufec735H0+SyM3+9XXl6eVq5cKenzWRev16t169Zp/vz5CofDGjx4sHbs2KFZs2ZJki5duqTk5GTt3btX06dP16lTpzRy5EiVlZUpMzNTklRWVqasrCydPn1aw4cPb3NsNTU1chxH4XBYCQkJnT1E9BLNHzbX3XjYHQDcXEfO37f1mpjKykoFg0FNmzbNXRcbG6uJEyeqpKREklReXq7GxsaIGr/fr7S0NLemtLRUjuO4AUaSxo8fL8dx3BoAAHB3u60/OxAMBiVJXq83Yr3X69XHH3/s1sTExGjAgAEtam68PxgMKikpqcX+k5KS3Jrm6uvrVV9f776uqanp/IEAAIAe747cneTxeCJeG2NarGuuec3N6lvbz5o1a9yLgB3HUXJycidGDgAAbHFbQ4zP55OkFrMl1dXV7uyMz+dTQ0ODQqFQqzWXL19usf8rV660mOW5YdWqVQqHw+5y4cKFWz4eAADQc93WEJOSkiKfz6eioiJ3XUNDg4qLizVhwgRJUkZGhqKjoyNqqqqqdOLECbcmKytL4XBYR44ccWsOHz6scDjs1jQXGxurhISEiAUAAPReHb4m5tq1a/rwww/d15WVlaqoqFBiYqLuvfde5eXlKT8/X6mpqUpNTVV+fr769++v3NxcSZLjOJozZ46WLVumgQMHKjExUcuXL1d6erqmTJkiSRoxYoRmzJihuXPnasuWLZKkefPmKTs7u113JgEAgN6vwyHmvffe07e+9S339dKlSyVJTz31lLZv364VK1aorq5OCxcuVCgUUmZmpvbv36/4+Hj3PRs3blRUVJRmzpypuro6TZ48Wdu3b1efPn3cmp07d2rJkiXuXUw5OTlf+mwaAABw97ml58T0ZDwnBl/Ec2IAwA7d9pwYAACArkKIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsFJUdw8AuN3ue+6d7h4CAKALMBMDAACsRIgBAABW4s9JQDe42Z+8Plr7SDeMBADsxUwMAACwEiEGAABYiRADAACsRIgBAABWIsQAAAArEWIAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKzU40PMK6+8opSUFPXt21cZGRl69913u3tIAACgB+jRIeZXv/qV8vLy9Pzzz+u//uu/9Fd/9Vd6+OGHdf78+e4eGgAA6GY9OsRs2LBBc+bM0Q9/+EONGDFCmzZtUnJysjZv3tzdQwMAAN2sx4aYhoYGlZeXa9q0aRHrp02bppKSkm4aFQAA6CmiunsAX+YPf/iDrl+/Lq/XG7He6/UqGAy2qK+vr1d9fb37uqam5o6PEQAAdJ8eG2Ju8Hg8Ea+NMS3WSdKaNWv0k5/8pKuGpfuee6fLPgsd89HaR7p7CJ3CdwqAbbr7v7c9NsQMGjRIffr0aTHrUl1d3WJ2RpJWrVqlpUuXuq9ramqUnJx8x8eJ7tfd/xLdLs2Pg1ADAK3rsSEmJiZGGRkZKioq0ne/+113fVFRkR577LEW9bGxsYqNje3KIQIA7jLt+Z+m9vwPSG/5n6/u1mNDjCQtXbpUgUBA48aNU1ZWlrZu3arz589rwYIF3T00ALhrcQJuHf3pOj06xMyaNUuffvqpXnzxRVVVVSktLU179+7VsGHDuntoANBhnNyA26tHhxhJWrhwoRYuXNjdwwBgAUICcHfp8SEGuFvd7ITc0y727UxouNkxED4AdAYhBrBIZy4q7GkBoaeNB4C9CDGwCifAttEjAHeLHvuzAwAAAK1hJgY9GrMKAIAvQ4jBHUH4AADcaYSYu1h77n4hjAAAeipCTC9xu8IGoQUAYAtCTDcjNAAA0DmEmNuEMAIAQNcixHQSoQUAgO7Fc2IAAICVCDEAAMBKhBgAAGAlQgwAALASIQYAAFiJEAMAAKxEiAEAAFYixAAAACsRYgAAgJUIMQAAwEqEGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAVorq7gHcKcYYSVJNTU03jwQAALTXjfP2jfN4a3ptiKmtrZUkJScnd/NIAABAR9XW1spxnFZrPKY9UcdCTU1NunTpkuLj4+XxeG7rvmtqapScnKwLFy4oISHhtu4b/48+dw363DXoc9egz13nTvXaGKPa2lr5/X7dc0/rV7302pmYe+65R0OHDr2jn5GQkMC/JF2APncN+tw16HPXoM9d5070uq0ZmBu4sBcAAFiJEAMAAKxEiOmE2NhYvfDCC4qNje3uofRq9Llr0OeuQZ+7Bn3uOj2h1732wl4AANC7MRMDAACsRIgBAABWIsQAAAArEWIAAICV7soQs3r1ank8nojF5/O5240xWr16tfx+v/r166dJkybp5MmTEfuor6/X4sWLNWjQIMXFxSknJ0cXL16MqAmFQgoEAnIcR47jKBAI6OrVq11xiD1Ca31ubGzUypUrlZ6erri4OPn9fv3gBz/QpUuXIvZBn9vW1vf5i+bPny+Px6NNmzZFrKfP7dOeXp86dUo5OTlyHEfx8fEaP368zp8/726n121rq8/Xrl3TokWLNHToUPXr108jRozQ5s2bI/ZBn9vnk08+0ZNPPqmBAweqf//+uv/++1VeXu5u7/HnQ3MXeuGFF8yoUaNMVVWVu1RXV7vb165da+Lj482//uu/muPHj5tZs2aZIUOGmJqaGrdmwYIF5qtf/aopKioyx44dM9/61rfMmDFjzJ/+9Ce3ZsaMGSYtLc2UlJSYkpISk5aWZrKzs7v0WLtTa32+evWqmTJlivnVr35lTp8+bUpLS01mZqbJyMiI2Ad9bltb3+cbdu/ebcaMGWP8fr/ZuHFjxDb63D5t9frDDz80iYmJ5tlnnzXHjh0z//3f/21+/etfm8uXL7s19LptbfX5hz/8ofna175mDh48aCorK82WLVtMnz59zNtvv+3W0Oe2/c///I8ZNmyYefrpp83hw4dNZWWlOXDggPnwww/dmp5+PrxrQ8yYMWNuuq2pqcn4fD6zdu1ad90f//hH4ziO+dnPfmaM+fwEHB0dbXbt2uXWfPLJJ+aee+4xhYWFxhhj3n//fSPJlJWVuTWlpaVGkjl9+vQdOKqep7U+38yRI0eMJPPxxx8bY+hze7WnzxcvXjRf/epXzYkTJ8ywYcMiQgx9br+2ej1r1izz5JNPful2et0+bfV51KhR5sUXX4xY941vfMP8/d//vTGGPrfXypUrzUMPPfSl2204H96Vf06SpLNnz8rv9yslJUVPPPGEzp07J0mqrKxUMBjUtGnT3NrY2FhNnDhRJSUlkqTy8nI1NjZG1Pj9fqWlpbk1paWlchxHmZmZbs348ePlOI5bczf4sj7fTDgclsfj0Ve+8hVJ9LkjWutzU1OTAoGAnn32WY0aNarFe+lzx3xZr5uamvTOO+/oL/7iLzR9+nQlJSUpMzNTb7/9tvteet1+rX2nH3roIe3Zs0effPKJjDE6ePCgPvjgA02fPl0SfW6vPXv2aNy4cfre976npKQkjR07Vtu2bXO323A+vCtDTGZmpl5//XXt27dP27ZtUzAY1IQJE/Tpp58qGAxKkrxeb8R7vF6vuy0YDComJkYDBgxotSYpKanFZyclJbk1vV1rfW7uj3/8o5577jnl5ua6PyRGn9unrT6vW7dOUVFRWrJkyU3fT5/br7VeV1dX69q1a1q7dq1mzJih/fv367vf/a4ef/xxFRcXS6LX7dXWd/rll1/WyJEjNXToUMXExGjGjBl65ZVX9NBDD0miz+117tw5bd68Wampqdq3b58WLFigJUuW6PXXX5ckK86HvfZXrFvz8MMPu/+cnp6urKwsfe1rX9Nrr72m8ePHS5I8Hk/Ee4wxLdY117zmZvXt2U9v0Vqfly5d6m5rbGzUE088oaamJr3yyitt7pc+R2qtzxMnTtRPf/pTHTt2rMP9oM8ttdbrJ554QpL02GOP6Uc/+pEk6f7771dJSYl+9rOfaeLEiV+6X3odqa3/drz88ssqKyvTnj17NGzYMP3ud7/TwoULNWTIEE2ZMuVL90ufIzU1NWncuHHKz8+XJI0dO1YnT57U5s2b9YMf/MCt68nnw7tyJqa5uLg4paen6+zZs+4V8M3TYXV1tZtGfT6fGhoaFAqFWq25fPlyi8+6cuVKi1R7t/hin29obGzUzJkzVVlZqaKiooifc6fPnfPFPr/77ruqrq7Wvffeq6ioKEVFRenjjz/WsmXLdN9990miz7fii70eNGiQoqKiNHLkyIiaESNGuHcn0evO+WKf6+rq9OMf/1gbNmzQo48+qtGjR2vRokWaNWuW/vmf/1kSfW6vIUOGtPl9lXr2+ZAQo89vDzt16pSGDBmilJQU+Xw+FRUVudsbGhpUXFysCRMmSJIyMjIUHR0dUVNVVaUTJ064NVlZWQqHwzpy5Ihbc/jwYYXDYbfmbvPFPkv/H2DOnj2rAwcOaODAgRH19LlzvtjnQCCg3//+96qoqHAXv9+vZ599Vvv27ZNEn2/FF3sdExOjBx54QGfOnImo+eCDDzRs2DBJ9LqzvtjnxsZGNTY26p57Ik9fffr0UVNTkyT63F4PPvhgq99XK86Ht3RZsKWWLVtmfvvb35pz586ZsrIyk52dbeLj481HH31kjPn8ljLHccxbb71ljh8/br7//e/f9JayoUOHmgMHDphjx46Zb3/72ze9pWz06NGmtLTUlJaWmvT09Lvq9r3W+tzY2GhycnLM0KFDTUVFRcStlPX19e4+6HPb2vo+N9f87iRj6HN7tdXrt956y0RHR5utW7eas2fPmn/5l38xffr0Me+++667D3rdtrb6PHHiRDNq1Chz8OBBc+7cOfOLX/zC9O3b17zyyivuPuhz244cOWKioqLMP/7jP5qzZ8+anTt3mv79+5s33njDrenp58O7MsTcuM89Ojra+P1+8/jjj5uTJ0+625uamswLL7xgfD6fiY2NNd/85jfN8ePHI/ZRV1dnFi1aZBITE02/fv1Mdna2OX/+fETNp59+ambPnm3i4+NNfHy8mT17tgmFQl1xiD1Ca32urKw0km66HDx40N0HfW5bW9/n5m4WYuhz+7Sn16+++qr5+te/bvr27WvGjBkT8ewSY+h1e7TV56qqKvP0008bv99v+vbta4YPH25eeukl09TU5NbQ5/b593//d5OWlmZiY2PNX/7lX5qtW7dGbO/p50OPMcbc2lwOAABA1+OaGAAAYCVCDAAAsBIhBgAAWIkQAwAArESIAQAAViLEAAAAKxFiAACAlQgxAADASoQYAABgJUIMAACwEiEGAABYiRADAACs9H+ps1/kBeR7xwAAAABJRU5ErkJggg==", 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", 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" ] @@ -903,10 +903,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:08.509302Z", - "iopub.status.busy": "2024-03-13T13:47:08.509007Z", - "iopub.status.idle": "2024-03-13T13:47:08.511397Z", - "shell.execute_reply": "2024-03-13T13:47:08.510929Z" + "iopub.execute_input": "2024-04-04T17:24:12.590424Z", + "iopub.status.busy": "2024-04-04T17:24:12.590082Z", + "iopub.status.idle": "2024-04-04T17:24:12.592763Z", + "shell.execute_reply": "2024-04-04T17:24:12.592264Z" } }, "outputs": [], @@ -919,16 +919,16 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:08.513211Z", - "iopub.status.busy": "2024-03-13T13:47:08.512965Z", - "iopub.status.idle": "2024-03-13T13:47:08.968833Z", - "shell.execute_reply": "2024-03-13T13:47:08.968321Z" + "iopub.execute_input": "2024-04-04T17:24:12.594580Z", + "iopub.status.busy": "2024-04-04T17:24:12.594419Z", + "iopub.status.idle": "2024-04-04T17:24:13.094391Z", + "shell.execute_reply": "2024-04-04T17:24:13.093834Z" } }, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -976,10 +976,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:08.970829Z", - "iopub.status.busy": "2024-03-13T13:47:08.970646Z", - "iopub.status.idle": "2024-03-13T13:47:09.159869Z", - "shell.execute_reply": "2024-03-13T13:47:09.159426Z" + "iopub.execute_input": "2024-04-04T17:24:13.096616Z", + "iopub.status.busy": "2024-04-04T17:24:13.096151Z", + "iopub.status.idle": "2024-04-04T17:24:13.290263Z", + "shell.execute_reply": "2024-04-04T17:24:13.289713Z" } }, "outputs": [ @@ -995,7 +995,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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" ] @@ -1038,17 +1038,17 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:09.161652Z", - "iopub.status.busy": "2024-03-13T13:47:09.161500Z", - "iopub.status.idle": "2024-03-13T13:47:09.306370Z", - "shell.execute_reply": "2024-03-13T13:47:09.305948Z" + "iopub.execute_input": "2024-04-04T17:24:13.292526Z", + "iopub.status.busy": "2024-04-04T17:24:13.292110Z", + "iopub.status.idle": "2024-04-04T17:24:13.439383Z", + "shell.execute_reply": "2024-04-04T17:24:13.438866Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 24, @@ -1057,7 +1057,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -1091,10 +1091,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:09.308070Z", - "iopub.status.busy": "2024-03-13T13:47:09.307921Z", - "iopub.status.idle": "2024-03-13T13:47:09.314173Z", - "shell.execute_reply": "2024-03-13T13:47:09.313821Z" + "iopub.execute_input": "2024-04-04T17:24:13.441557Z", + "iopub.status.busy": "2024-04-04T17:24:13.441198Z", + "iopub.status.idle": "2024-04-04T17:24:13.448070Z", + "shell.execute_reply": "2024-04-04T17:24:13.447645Z" } }, "outputs": [], @@ -1110,10 +1110,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:09.315781Z", - "iopub.status.busy": "2024-03-13T13:47:09.315635Z", - "iopub.status.idle": "2024-03-13T13:47:09.501829Z", - "shell.execute_reply": "2024-03-13T13:47:09.501340Z" + "iopub.execute_input": "2024-04-04T17:24:13.450017Z", + "iopub.status.busy": "2024-04-04T17:24:13.449683Z", + "iopub.status.idle": "2024-04-04T17:24:13.640660Z", + "shell.execute_reply": "2024-04-04T17:24:13.640089Z" } }, "outputs": [ @@ -1121,7 +1121,7 @@ "data": { "text/plain": [ "((0.0, 10.0),\n", - " ,\n", + " ,\n", " Text(0.5, 0, 'mass'))" ] }, @@ -1131,7 +1131,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -1160,10 +1160,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:09.503523Z", - "iopub.status.busy": "2024-03-13T13:47:09.503358Z", - "iopub.status.idle": "2024-03-13T13:47:09.585468Z", - "shell.execute_reply": "2024-03-13T13:47:09.584948Z" + "iopub.execute_input": "2024-04-04T17:24:13.642976Z", + "iopub.status.busy": "2024-04-04T17:24:13.642504Z", + "iopub.status.idle": "2024-04-04T17:24:13.733525Z", + "shell.execute_reply": "2024-04-04T17:24:13.733085Z" } }, "outputs": [], @@ -1185,16 +1185,16 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:09.587793Z", - "iopub.status.busy": "2024-03-13T13:47:09.587240Z", - "iopub.status.idle": "2024-03-13T13:47:09.770943Z", - "shell.execute_reply": "2024-03-13T13:47:09.770464Z" + "iopub.execute_input": "2024-04-04T17:24:13.736406Z", + "iopub.status.busy": "2024-04-04T17:24:13.735569Z", + "iopub.status.idle": "2024-04-04T17:24:13.924361Z", + "shell.execute_reply": "2024-04-04T17:24:13.923862Z" } }, "outputs": [ { "data": { - "image/png": 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", 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" ] @@ -1223,16 +1223,16 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:09.772712Z", - "iopub.status.busy": "2024-03-13T13:47:09.772546Z", - "iopub.status.idle": "2024-03-13T13:47:10.109689Z", - "shell.execute_reply": "2024-03-13T13:47:10.109167Z" + "iopub.execute_input": "2024-04-04T17:24:13.926539Z", + "iopub.status.busy": "2024-04-04T17:24:13.926178Z", + "iopub.status.idle": "2024-04-04T17:24:14.269743Z", + "shell.execute_reply": "2024-04-04T17:24:14.269194Z" } }, "outputs": [ { "data": { - "image/png": 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", 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t+hvGt/r3Ww+x+/M7Ath2erqmWkpPtyN+/vOf5yMf+UhWrlyZfffdt9zl7DLN0ee5DRPYMz1+284d3+eLzVMHLdZLL72U++67LyeccEIaGxszZcqULF68OMOHDy93advlxhtvzDHHHJPOnTvn4Ycfzre+9a1ccMEF5S4LYPemz4AWo6X0dLyzhGUAsBX77LNPpk6dmksuuSSFQiE9e/bM3Llzt+uhsruD3/zmN/nmN7+ZV155Jd26dcvo0aMzZsyYcpcFAPCOaCk9He8sYRkAbEXXrl3z8MMPl7uMnTZx4sRMnDhxu45poU9oAAD2Qi2lp2sOAwYM0OdtI2EZAADAX5m/+JWdOr5vn2YqBICyEJYBe6UZ85fs1PHD+3ZrpkoAAADYnexT7gIAAAAAYHdhZhmwR9rZ2yNiYhgAAABbYWYZAAAAABSZWQYAANCcHr9t547v88XmqQOAHWJmGQCww1588cVUVFRk0aJFO3T8gAEDMmrUqGatCQCA7bMtPd2BBx6YSZMm7fBnTJ06Nfvuu+8OH/9OMrMMgO2zs9+Wb6+95Nv1AQMG5KijjtqpBmRbvfjii+nevXuefPLJHHXUUbv8897K3XffnVatWpW1BgDYa72TfZ2ertntTj1dSyMsA/ZKBy+5a+dO0Hd08xTCLrdu3bq0bt263GU0i0KhkA0bNqSqquX8+e7UqVO5SwAA9gB6Ot5JbsMEoEUZMGBALrjgglx88cXZf//9c9JJJyVJnnnmmXz84x/Pu971rtTW1mbEiBH505/+VDpu48aNue666/K+970v1dXV6datW6699trS/l//+tf56Ec/mrZt26Zz584555xzsmbNmtL+L3zhC/nkJz+Zb3/72znggAPSuXPnnH/++Vm/fn1pzI033pgePXqkTZs2qa2tzac//enSsQ8++GC+853vpKKiIhUVFXnxxRfz85//PBUVFbn33nvTp0+fVFdX5xe/+EXps/7aqFGjMmDAgG26nu7duydJjj766FRUVDQ57rbbbsthhx2WNm3a5NBDD82NN97Y5HMee+yxHH300WnTpk369OmTJ5988m1/J2923Zt+X399G+ayZctyyimnpG3btunevXtmzJjxtlP+N/08rr766nTp0iUdO3bMueeem3Xr1r1tbQDA7klP9/bX8073dEmyevXqDB8+PO9617tSX1+fyZMnN9n/5z//Oeecc05qa2vTpk2b9OzZMz/5yU+2eq7/9//+X4499tgMHTo0f/nLX7Y65sADD8w3vvGNt/zMXUGMCUCLM23atHzlK1/Jww8/nEKhkGXLluWEE07I2WefnRtuuCFr167N5ZdfnmHDhuVnP/tZkmTMmDG55ZZbMnHixBx//PFZtmxZ/ud//idJ8tprr+VjH/tYPvShD2XBggVZsWJF/v7v/z4XXHBBpk6dWvrcBx54IAcccEAeeOCBvPDCC/m7v/u7HHXUUTn77LPz+OOP58ILL8wdd9yR/v3755VXXskvfvGLJMl3vvOdPP/88+nZs2euueaaJMm73/3uvPjii0mSyy67LN/+9rdz0EEHbfNzHt7qeh577LEce+yxmTt3bg4//PDSt7S33HJLvv71r2fKlCk5+uij8+STT+bss89O+/btc+aZZ+bVV1/NkCFD8tGPfjTTp0/P4sWLc9FFF71lHW913Vtzxhln5E9/+lN+/vOfp1WrVrn44ouzYsWKt73e+++/P23atMkDDzyQF198MV/84hez//77N2mOAYA9i55u9+npNvnWt76Vf/iHf8jYsWNz77335qtf/WoOPfTQnHTSSdm4cWNOPvnkrF69OtOnT8/BBx+cZ555JpWVlVuc5+WXX86gQYPSp0+f/Ou//utbzrJ7q8/cVYRlALQ473vf+zJhwoTS+6997Wv54Ac/mHHjxpW2/eu//mu6du2a559/PgcccEC+853vZMqUKTnzzDOTJAcffHCOP/74JMmdd96ZtWvX5vbbb0/79u2TJFOmTMmpp56a6667LrW1tUmS/fbbL1OmTEllZWUOPfTQnHLKKbn//vtz9tlnZ8mSJWnfvn2GDBmSDh065L3vfW+OPvroJElNTU1at26ddu3apa6ubovrueaaa7arGVi9evVbXs+73/3uJEnnzp2bfN43vvGNXH/99TnttNOSvPFt5TPPPJPvf//7OfPMM3PnnXdmw4YN+dd//de0a9cuhx9+eF5++eV85StfedNa3uq6N/c///M/mTt3bhYsWJA+ffokSf7lX/4lPXr0eNtrbt26dZO6rrnmmlx66aX5xje+kX32MZEeAPZEerrdp6fb5LjjjssVV1yRJHn/+9+fhx9+OBMnTsxJJ52UuXPn5rHHHsuzzz6b97///UmSgw46aItzPP/88znppJPyiU98ojQLb0c/c1fRPQLQ4mwKWjZZuHBhHnjggbzrXe8qvQ499NAkyf/+7//m2WefTWNjYwYOHLjV8z377LM58sgjS01V8sYf7Y0bN+a5554rbTv88MObfHN2wAEHlGZFnXTSSXnve9+bgw46KCNGjMidd96Z1157bYeu5+283fVszR//+McsXbo0Z511VpOf0ze/+c387//+b+m8Rx55ZNq1a1c6rl+/fm953u257ueeey5VVVX54Ac/WNr2vve9L/vtt9/b1r+1utasWZOlS5e+7bEAwO5JT7f79HRvNq5fv3559tlnkySLFi3Ke97znlJQtjVr167N8ccfn09+8pP57ne/+7ZB2dt95q5iZhkALc5fN0DJG8962PSN4eYOOOCA/Pa3v33L8xUKhTf9Q/7X2zdf1bGioiIbN25MknTo0CFPPPFEfv7zn+e+++7L1772tYwdOzYLFix422n4m1/PPvvsk0Kh0GTbXz9Ho23btm95vq3ZVOctt9ySvn37Ntm3qVnc/DO3xfZc95udf0c+d5NtacAAgN2Tnm736eneyqaf3bbUW11dnRNPPDH/+Z//mUsvvTTvec97duozdxUzywBo8T74wQ/m6aefzoEHHpj3ve99TV7t27dPjx490rZt29x///1bPf4DH/hAFi1alFdffbW07eGHH84+++zzlt+cba6qqionnnhiJkyYkP/+7//Oiy++WHq+RuvWrbNhw4ZtOs+73/3uLFu2rMm2RYsWlf757a5n0/Ms/vrzamtr8//9f/9ffvvb327xM9r08NgPfOAD+dWvfpW1a9eWjnv00Ud36rr/2qGHHprXX3+9yQNmX3jhhfz5z39+28/YWl3vete7drgBA9gZ8xe/slMvYOv0dE290z3d1sY9+uijpdl9RxxxRF5++eU8//zzb3r8PvvskzvuuCO9e/fORz/60fz+97/fqc/cVYRlALR4559/fl555ZV89rOfzWOPPZbf/va3ue+++/KlL30pGzZsSJs2bXL55Zfnsssuy+23357//d//zaOPPppbb701SfK5z30ubdq0yZlnnpmnnnoqDzzwQEaOHJkRI0aUnm3xdn7yk5/ku9/9bhYtWpSXXnopt99+ezZu3JhDDjkkyRsr/cyfPz8vvvhi/vSnP5W+Fdyaj370o3n88cdz++235ze/+U2+/vWv56mnnirtf7vr6dKlS9q2bZvZs2fnD3/4QxoaGpIkY8eOzfjx40sPp/31r3+d2267LTfccEOSZPjw4dlnn31y1lln5Zlnnsl//dd/5dvf/vZOXfdfO/TQQ3PiiSfmnHPOyWOPPZYnn3wy55xzTtq2bfu23x6uW7euVNdPf/rTfP3rX88FF1zgeWUA0ILo6crX023y8MMPZ8KECXn++efzz//8z7nrrrtKiwOccMIJ+fCHP5xPfepTmTNnThYvXpyf/vSnmT17dpNzVFZW5s4778yRRx6Zj370o1m+fPkOf+auooMEoMWrr6/Pww8/nA0bNmTw4MHp2bNnLrrootTU1JTClKuuuiqjR4/O1772tRx22GH5u7/7u9KzKdq1a5d77703r7zySo455ph8+tOfzsCBAzNlypRtrmHffffN3XffnY9+9KM57LDD8r3vfS8/+MEPcvjhhydJLrnkklRWVuYDH/hA3v3ud2fJkiVveq7BgwfnqquuymWXXZZjjjkmq1evzhlnnNFkzFtdT1VVVb773e/m+9//furr6/OJT3wiSfL3f//3+Zd/+ZdMnTo1vXr1ygknnJCpU6eWvoV817velf/4j//IM888k6OPPjpXXnnlVm+D2J7r3tztt9+e2trafPjDH87f/u3f5uyzz06HDh3Spk2bt/ycgQMHpkePHvnwhz+cYcOG5dRTT83YsWPf8hgAYM+ipytfT7fJ6NGjs3Dhwhx99NGlhQQGDx5c2v/v//7vOeaYY/LZz342H/jAB3LZZZdtdaZdVVVV6ef20Y9+9C1XP3+7z9wVKgrNfbPqbmLVqlWpqalJQ0NDOnbsWO5ygGY2/67ry/r5fU8fXdbPfyf85S9/yeLFi9O9e/e3DSpgV3n55ZfTtWvXzJ07900fbvuFL3whf/7zn/OjH/1om8/7Vv9+6yF2f35H7Gr6DFoSPR17sgMPPDCjRo3KqFGjtvmY5ujzPOAfANht/OxnP8uaNWvSq1evLFu2LJdddlkOPPDAfPjDHy53aQAA7CWEZQDAbmP9+vX5h3/4h/z2t79Nhw4d0r9//9x5551brEoFAAC7irAMANhtDB48eLufQTF16tRdUwwAAGX14osvluVzPeAfAAAAAIqEZQAAAABQJCwD4C210EWT2cv59xqAvY2/fewtmuPfdWEZAFtVWVmZJFm3bl2ZK4Hm99prryWJhQMAaPE2/a3b9LcPWrrm6PM84B+Araqqqkq7du3yxz/+Ma1atco++/h+hT1foVDIa6+9lhUrVmTfffcthcIA0FJVVlZm3333zYoVK5Ik7dq1S0VFRZmrgubXnH2esAyAraqoqMgBBxyQxYsX56WXXip3OdCs9t1339TV1ZW7DAB4R2z6m7cpMIOWrDn6PGEZAG+qdevW6dGjh1sxaVFatWplRhkAe5VNX4J26dIl69evL3c5sMs0V58nLAPgLe2zzz5p06ZNucsAAGAnVVZW+sIItoEH0AAAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUbXdY9tBDD+XUU09NfX19Kioq8qMf/ai0b/369bn88svTq1evtG/fPvX19TnjjDPy+9//vsk5GhsbM3LkyOy///5p3759hg4dmpdffrnJmJUrV2bEiBGpqalJTU1NRowYkT//+c87dJEAAAAAsC22Oyx79dVXc+SRR2bKlClb7HvttdfyxBNP5KqrrsoTTzyRu+++O88//3yGDh3aZNyoUaMya9aszJw5M/PmzcuaNWsyZMiQbNiwoTRm+PDhWbRoUWbPnp3Zs2dn0aJFGTFixA5cIgAAAABsm6rtPeDkk0/OySefvNV9NTU1mTNnTpNtkydPzrHHHpslS5akW7duaWhoyK233po77rgjJ554YpJk+vTp6dq1a+bOnZvBgwfn2WefzezZs/Poo4+mb9++SZJbbrkl/fr1y3PPPZdDDjlke8sGAAAAgLe1y59Z1tDQkIqKiuy7775JkoULF2b9+vUZNGhQaUx9fX169uyZRx55JEnyy1/+MjU1NaWgLEk+9KEPpaampjRmc42NjVm1alWTFwAAAABsj10alv3lL3/JFVdckeHDh6djx45JkuXLl6d169bZb7/9moytra3N8uXLS2O6dOmyxfm6dOlSGrO58ePHl55vVlNTk65duzbz1QAAAADQ0u2ysGz9+vX5zGc+k40bN+bGG2982/GFQiEVFRWl93/9z2825q+NGTMmDQ0NpdfSpUt3vHgAAAAA9kq7JCxbv359hg0blsWLF2fOnDmlWWVJUldXl3Xr1mXlypVNjlmxYkVqa2tLY/7whz9scd4//vGPpTGbq66uTseOHZu8AAAAAGB7NHtYtiko+81vfpO5c+emc+fOTfb37t07rVq1arIQwLJly/LUU0+lf//+SZJ+/fqloaEhjz32WGnM/Pnz09DQUBoDAAAAAM1tu1fDXLNmTV544YXS+8WLF2fRokXp1KlT6uvr8+lPfzpPPPFEfvKTn2TDhg2lZ4x16tQprVu3Tk1NTc4666yMHj06nTt3TqdOnXLJJZekV69epdUxDzvssHzsYx/L2Wefne9///tJknPOOSdDhgyxEiYAAAAAu8x2h2WPP/54PvKRj5TeX3zxxUmSM888M2PHjs0999yTJDnqqKOaHPfAAw9kwIABSZKJEyemqqoqw4YNy9q1azNw4MBMnTo1lZWVpfF33nlnLrzwwtKqmUOHDs2UKVO2t1wAAAAA2GbbHZYNGDAghULhTfe/1b5N2rRpk8mTJ2fy5MlvOqZTp06ZPn369pYH8I6YMX/JTh0/vG+3ZqoEAACA5rTLVsMEAAAAgD2NsAwAAAAAioRlAAAAAFAkLAMAAACAou1+wD8AycFL7tq5E/Qd3TyFAAAA0KzMLAMAAACAImEZAAAAABQJywAAAACgSFgGAECS5KGHHsqpp56a+vr6VFRU5Ec/+lFp3/r163P55ZenV69ead++ferr63PGGWfk97//fZNzNDY2ZuTIkdl///3Tvn37DB06NC+//HKTMStXrsyIESNSU1OTmpqajBgxIn/+85/fgSsEAHh7wjIAAJIkr776ao488shMmTJli32vvfZannjiiVx11VV54okncvfdd+f555/P0KFDm4wbNWpUZs2alZkzZ2bevHlZs2ZNhgwZkg0bNpTGDB8+PIsWLcrs2bMze/bsLFq0KCNGjNjl1wcAsC2shgkAQJLk5JNPzsknn7zVfTU1NZkzZ06TbZMnT86xxx6bJUuWpFu3bmloaMitt96aO+64IyeeeGKSZPr06enatWvmzp2bwYMH59lnn83s2bPz6KOPpm/fvkmSW265Jf369ctzzz2XQw45ZNdeJADA2zCzDACAHdLQ0JCKiorsu+++SZKFCxdm/fr1GTRoUGlMfX19evbsmUceeSRJ8stf/jI1NTWloCxJPvShD6WmpqY0ZnONjY1ZtWpVkxcAwK4iLAMAYLv95S9/yRVXXJHhw4enY8eOSZLly5endevW2W+//ZqMra2tzfLly0tjunTpssX5unTpUhqzufHjx5eeb1ZTU5OuXbs289UAAPwft2ECALBd1q9fn8985jPZuHFjbrzxxrcdXygUUlFRUXr/1//8ZmP+2pgxY3LxxReX3q9atUpgRsv2+G07d3yfLzZPHQB7KTPLAADYZuvXr8+wYcOyePHizJkzpzSrLEnq6uqybt26rFy5sskxK1asSG1tbWnMH/7why3O+8c//rE0ZnPV1dXp2LFjkxcAwK4iLAMAYJtsCsp+85vfZO7cuencuXOT/b17906rVq2aLASwbNmyPPXUU+nfv3+SpF+/fmloaMhjjz1WGjN//vw0NDSUxgAAlJPbMAEASJKsWbMmL7zwQun94sWLs2jRonTq1Cn19fX59Kc/nSeeeCI/+clPsmHDhtIzxjp16pTWrVunpqYmZ511VkaPHp3OnTunU6dOueSSS9KrV6/S6piHHXZYPvaxj+Xss8/O97///STJOeeckyFDhlgJE4rmL35lp47v26eZCgHYSwnLAABIkjz++OP5yEc+Unq/6TlhZ555ZsaOHZt77rknSXLUUUc1Oe6BBx7IgAEDkiQTJ05MVVVVhg0blrVr12bgwIGZOnVqKisrS+PvvPPOXHjhhaVVM4cOHZopU6bswisDANh2wjIAAJIkAwYMSKFQeNP9b7VvkzZt2mTy5MmZPHnym47p1KlTpk+fvkM1AgDsap5ZBgAAAABFwjIAAAAAKBKWAQAAAECRZ5YBAAAtyoz5S3bq+IObqQ4A9kxmlgEAAABAkbAMAAAAAIrchgmUhdsjAAAA2B2ZWQYAAAAARWaWAQAALcrBS+4qdwkA7MHMLAMAAACAImEZAAAAABS5DRMoC7dHAAAAsDsyswwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACiqKncBwB7q8dvKXQEAAAA0OzPLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAoqpyFwDsmeYvfqXcJQAAAECz2+6ZZQ899FBOPfXU1NfXp6KiIj/60Y+a7C8UChk7dmzq6+vTtm3bDBgwIE8//XSTMY2NjRk5cmT233//tG/fPkOHDs3LL7/cZMzKlSszYsSI1NTUpKamJiNGjMif//zn7b5AAAAAANhW2x2WvfrqqznyyCMzZcqUre6fMGFCbrjhhkyZMiULFixIXV1dTjrppKxevbo0ZtSoUZk1a1ZmzpyZefPmZc2aNRkyZEg2bNhQGjN8+PAsWrQos2fPzuzZs7No0aKMGDFiBy4RAAAAALbNdt+GefLJJ+fkk0/e6r5CoZBJkyblyiuvzGmnnZYkmTZtWmprazNjxoyce+65aWhoyK233po77rgjJ554YpJk+vTp6dq1a+bOnZvBgwfn2WefzezZs/Poo4+mb9++SZJbbrkl/fr1y3PPPZdDDjlkR68XAAAAAN5Usz7gf/HixVm+fHkGDRpU2lZdXZ0TTjghjzzySJJk4cKFWb9+fZMx9fX16dmzZ2nML3/5y9TU1JSCsiT50Ic+lJqamtKYzTU2NmbVqlVNXgAAAACwPZo1LFu+fHmSpLa2tsn22tra0r7ly5endevW2W+//d5yTJcuXbY4f5cuXUpjNjd+/PjS881qamrStWvXnb4eAAAAAPYuzRqWbVJRUdHkfaFQ2GLb5jYfs7Xxb3WeMWPGpKGhofRaunTpDlQOAAAAwN6sWcOyurq6JNli9teKFStKs83q6uqybt26rFy58i3H/OEPf9ji/H/84x+3mLW2SXV1dTp27NjkBQAAAADbo1nDsu7du6euri5z5swpbVu3bl0efPDB9O/fP0nSu3fvtGrVqsmYZcuW5amnniqN6devXxoaGvLYY4+VxsyfPz8NDQ2lMQAAAADQ3LZ7Ncw1a9bkhRdeKL1fvHhxFi1alE6dOqVbt24ZNWpUxo0blx49eqRHjx4ZN25c2rVrl+HDhydJampqctZZZ2X06NHp3LlzOnXqlEsuuSS9evUqrY552GGH5WMf+1jOPvvsfP/730+SnHPOORkyZIiVMAEAAADYZbY7LHv88cfzkY98pPT+4osvTpKceeaZmTp1ai677LKsXbs25513XlauXJm+ffvmvvvuS4cOHUrHTJw4MVVVVRk2bFjWrl2bgQMHZurUqamsrCyNufPOO3PhhReWVs0cOnRopkyZssMXCgAAAABvp6JQKBTKXcSusGrVqtTU1KShocHzy2AXmH/X9eUuYY/W9/TR5S4BeBN6iN2f3xFvZ2/vU/QZAFu3rT3ELlkNEwAAAAD2RMIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDACBJ8tBDD+XUU09NfX19Kioq8qMf/ajJ/kKhkLFjx6a+vj5t27bNgAED8vTTTzcZ09jYmJEjR2b//fdP+/btM3To0Lz88stNxqxcuTIjRoxITU1NampqMmLEiPz5z3/exVcHALBthGUAACRJXn311Rx55JGZMmXKVvdPmDAhN9xwQ6ZMmZIFCxakrq4uJ510UlavXl0aM2rUqMyaNSszZ87MvHnzsmbNmgwZMiQbNmwojRk+fHgWLVqU2bNnZ/bs2Vm0aFFGjBixy68PAGBbVJW7AAAAdg8nn3xyTj755K3uKxQKmTRpUq688sqcdtppSZJp06altrY2M2bMyLnnnpuGhobceuutueOOO3LiiScmSaZPn56uXbtm7ty5GTx4cJ599tnMnj07jz76aPr27ZskueWWW9KvX78899xzOeSQQ96ZiwUAeBNmlgEA8LYWL16c5cuXZ9CgQaVt1dXVOeGEE/LII48kSRYuXJj169c3GVNfX5+ePXuWxvzyl79MTU1NKShLkg996EOpqakpjQEAKCczywAAeFvLly9PktTW1jbZXltbm5deeqk0pnXr1tlvv/22GLPp+OXLl6dLly5bnL9Lly6lMZtrbGxMY2Nj6f2qVat2/EIAAN6GsAygHB6/beeO7/PF5qkDYDtVVFQ0eV8oFLbYtrnNx2xt/FudZ/z48bn66qt3oFoAgO0nLAMog/mLX9mp4/v2aaZCALZRXV1dkjdmhh1wwAGl7StWrCjNNqurq8u6deuycuXKJrPLVqxYkf79+5fG/OEPf9ji/H/84x+3mLW2yZgxY3LxxReX3q9atSpdu3bd+YsCANgKzywDAOBtde/ePXV1dZkzZ05p27p16/Lggw+WgrDevXunVatWTcYsW7YsTz31VGlMv3790tDQkMcee6w0Zv78+WloaCiN2Vx1dXU6duzY5AUAsKuYWQYAQJJkzZo1eeGFF0rvFy9enEWLFqVTp07p1q1bRo0alXHjxqVHjx7p0aNHxo0bl3bt2mX48OFJkpqampx11lkZPXp0OnfunE6dOuWSSy5Jr169SqtjHnbYYfnYxz6Ws88+O9///veTJOecc06GDBliJUwAYLcgLAMAIEny+OOP5yMf+Ujp/aZbH88888xMnTo1l112WdauXZvzzjsvK1euTN++fXPfffelQ4cOpWMmTpyYqqqqDBs2LGvXrs3AgQMzderUVFZWlsbceeedufDCC0urZg4dOjRTpkx5h64SAOCtVRQKhUK5i9gVVq1alZqamjQ0NJiqD7vA/LuuL3cJe7W+p48udwnQYukhdn9+R7ydvb1P0ScAbN229hCeWQYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAoqpyFwAAAEDzmX/X9Tt1fN/TRzdTJQB7JjPLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQVFXuAgAAAJp4/LZyVwDAXszMMgAAAAAoEpYBAAAAQJHbMAEAgN3K/MWvlLsEAPZiZpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgqNnDstdffz3/+I//mO7du6dt27Y56KCDcs0112Tjxo2lMYVCIWPHjk19fX3atm2bAQMG5Omnn25ynsbGxowcOTL7779/2rdvn6FDh+bll19u7nIBAAAAoKTZw7Lrrrsu3/ve9zJlypQ8++yzmTBhQr71rW9l8uTJpTETJkzIDTfckClTpmTBggWpq6vLSSedlNWrV5fGjBo1KrNmzcrMmTMzb968rFmzJkOGDMmGDRuau2QAAAAASJJUNfcJf/nLX+YTn/hETjnllCTJgQcemB/84Ad5/PHHk7wxq2zSpEm58sorc9pppyVJpk2bltra2syYMSPnnntuGhoacuutt+aOO+7IiSeemCSZPn16unbtmrlz52bw4MHNXTYAAAAANP/MsuOPPz73339/nn/++STJr371q8ybNy8f//jHkySLFy/O8uXLM2jQoNIx1dXVOeGEE/LII48kSRYuXJj169c3GVNfX5+ePXuWxmyusbExq1atavICAAAAgO3R7DPLLr/88jQ0NOTQQw9NZWVlNmzYkGuvvTaf/exnkyTLly9PktTW1jY5rra2Ni+99FJpTOvWrbPffvttMWbT8ZsbP358rr766ua+HAAAAAD2Is0+s+yHP/xhpk+fnhkzZuSJJ57ItGnT8u1vfzvTpk1rMq6ioqLJ+0KhsMW2zb3VmDFjxqShoaH0Wrp06c5dCAAAAAB7nWafWXbppZfmiiuuyGc+85kkSa9evfLSSy9l/PjxOfPMM1NXV5fkjdljBxxwQOm4FStWlGab1dXVZd26dVm5cmWT2WUrVqxI//79t/q51dXVqa6ubu7LAQAAAGAv0uwzy1577bXss0/T01ZWVmbjxo1Jku7du6euri5z5swp7V+3bl0efPDBUhDWu3fvtGrVqsmYZcuW5amnnnrTsAwAAAAAdlazzyw79dRTc+2116Zbt245/PDD8+STT+aGG27Il770pSRv3H45atSojBs3Lj169EiPHj0ybty4tGvXLsOHD0+S1NTU5Kyzzsro0aPTuXPndOrUKZdcckl69epVWh0TAAAAAJpbs4dlkydPzlVXXZXzzjsvK1asSH19fc4999x87WtfK4257LLLsnbt2px33nlZuXJl+vbtm/vuuy8dOnQojZk4cWKqqqoybNiwrF27NgMHDszUqVNTWVnZ3CUDAAAAQJKkolAoFMpdxK6watWq1NTUpKGhIR07dix3OdDizL/r+nKXsFfre/rocpcALZYeYvfnd9Ty6TPKS58BtFTb2kM0+zPLAAAAAGBPJSwDAAAAgCJhGQAAAAAUCcsAANgmr7/+ev7xH/8x3bt3T9u2bXPQQQflmmuuycaNG0tjCoVCxo4dm/r6+rRt2zYDBgzI008/3eQ8jY2NGTlyZPbff/+0b98+Q4cOzcsvv/xOXw4AwFYJywAA2CbXXXddvve972XKlCl59tlnM2HChHzrW9/K5MmTS2MmTJiQG264IVOmTMmCBQtSV1eXk046KatXry6NGTVqVGbNmpWZM2dm3rx5WbNmTYYMGZINGzaU47IAAJqoKncBAADsGX75y1/mE5/4RE455ZQkyYEHHpgf/OAHefzxx5O8Mats0qRJufLKK3PaaaclSaZNm5ba2trMmDEj5557bhoaGnLrrbfmjjvuyIknnpgkmT59erp27Zq5c+dm8ODB5bk4AIAiM8sAANgmxx9/fO6///48//zzSZJf/epXmTdvXj7+8Y8nSRYvXpzly5dn0KBBpWOqq6tzwgkn5JFHHkmSLFy4MOvXr28ypr6+Pj179iyN2VxjY2NWrVrV5AUAsKuYWQYAwDa5/PLL09DQkEMPPTSVlZXZsGFDrr322nz2s59NkixfvjxJUltb2+S42travPTSS6UxrVu3zn777bfFmE3Hb278+PG5+uqrm/tyAAC2yswyAAC2yQ9/+MNMnz49M2bMyBNPPJFp06bl29/+dqZNm9ZkXEVFRZP3hUJhi22be6sxY8aMSUNDQ+m1dOnSnbsQAIC3YGYZAADb5NJLL80VV1yRz3zmM0mSXr165aWXXsr48eNz5plnpq6uLskbs8cOOOCA0nErVqwozTarq6vLunXrsnLlyiazy1asWJH+/ftv9XOrq6tTXV29qy4LAKAJM8sAANgmr732WvbZp2n7WFlZmY0bNyZJunfvnrq6usyZM6e0f926dXnwwQdLQVjv3r3TqlWrJmOWLVuWp5566k3DMgCAd5KZZQAAbJNTTz011157bbp165bDDz88Tz75ZG644YZ86UtfSvLG7ZejRo3KuHHj0qNHj/To0SPjxo1Lu3btMnz48CRJTU1NzjrrrIwePTqdO3dOp06dcskll6RXr16l1TEBAMpJWAYAwDaZPHlyrrrqqpx33nlZsWJF6uvrc+655+ZrX/taacxll12WtWvX5rzzzsvKlSvTt2/f3HfffenQoUNpzMSJE1NVVZVhw4Zl7dq1GThwYKZOnZrKyspyXBYAQBMVhUKhUO4idoVVq1alpqYmDQ0N6dixY7nLgRZn/l3Xl7uEvVrf00eXuwRosfQQuz+/o5ZPn1Fe+gygpdrWHsIzywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUFRV7gIA2AGP37Zzx/f5YvPUAQAA0MKYWQYAAAAARcIyAAAAAChyGybAHmj+4ld26vi+fZqpEAAAgBbGzDIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACiqKncBAAAA7D5mzF+yU8cP79utmSoBKA8zywAAAACgSFgGAAAAAEXCMgAAAAAo8swy2EvNv+v6cpcAAAAAux0zywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARVXlLgAAAIDdx8FL7tq5E/Qd3TyFAJSJmWUAAAAAUGRmGQAA0Kzm33V9uUsAgB1mZhkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACjaJWHZ7373u3z+859P586d065duxx11FFZuHBhaX+hUMjYsWNTX1+ftm3bZsCAAXn66aebnKOxsTEjR47M/vvvn/bt22fo0KF5+eWXd0W5AAAAAJBkF4RlK1euzHHHHZdWrVrlpz/9aZ555plcf/312XfffUtjJkyYkBtuuCFTpkzJggULUldXl5NOOimrV68ujRk1alRmzZqVmTNnZt68eVmzZk2GDBmSDRs2NHfJAAAAAJAkqWruE1533XXp2rVrbrvtttK2Aw88sPTPhUIhkyZNypVXXpnTTjstSTJt2rTU1tZmxowZOffcc9PQ0JBbb701d9xxR0488cQkyfTp09O1a9fMnTs3gwcPbu6yAQAAAKD5Z5bdc8896dOnT04//fR06dIlRx99dG655ZbS/sWLF2f58uUZNGhQaVt1dXVOOOGEPPLII0mShQsXZv369U3G1NfXp2fPnqUxAAAAANDcmj0s++1vf5ubbropPXr0yL333psvf/nLufDCC3P77bcnSZYvX54kqa2tbXJcbW1tad/y5cvTunXr7Lfffm86ZnONjY1ZtWpVkxcAAAAAbI9mvw1z48aN6dOnT8aNG5ckOfroo/P000/npptuyhlnnFEaV1FR0eS4QqGwxbbNvdWY8ePH5+qrr97J6gEAAADYmzX7zLIDDjggH/jAB5psO+yww7JkyZIkSV1dXZJsMUNsxYoVpdlmdXV1WbduXVauXPmmYzY3ZsyYNDQ0lF5Lly5tlusBAAAAYO/R7GHZcccdl+eee67Jtueffz7vfe97kyTdu3dPXV1d5syZU9q/bt26PPjgg+nfv3+SpHfv3mnVqlWTMcuWLctTTz1VGrO56urqdOzYsckLAAAAALZHs9+G+dWvfjX9+/fPuHHjMmzYsDz22GO5+eabc/PNNyd54/bLUaNGZdy4cenRo0d69OiRcePGpV27dhk+fHiSpKamJmeddVZGjx6dzp07p1OnTrnkkkvSq1ev0uqYAAAAANDcmj0sO+aYYzJr1qyMGTMm11xzTbp3755Jkyblc5/7XGnMZZddlrVr1+a8887LypUr07dv39x3333p0KFDaczEiRNTVVWVYcOGZe3atRk4cGCmTp2aysrK5i4ZAAAAAJIkFYVCoVDuInaFVatWpaamJg0NDW7JhK2Yf9f15S6BMup7+uhylwC7LT3E7s/vaPenz9i76TOA3dW29hDN/swyAABart/97nf5/Oc/n86dO6ddu3Y56qijsnDhwtL+QqGQsWPHpr6+Pm3bts2AAQPy9NNPNzlHY2NjRo4cmf333z/t27fP0KFD8/LLL7/TlwIAsFXCMgAAtsnKlStz3HHHpVWrVvnpT3+aZ555Jtdff3323Xff0pgJEybkhhtuyJQpU7JgwYLU1dXlpJNOyurVq0tjRo0alVmzZmXmzJmZN29e1qxZkyFDhmTDhg1luCoAgKaa/ZllAAC0TNddd126du2a2267rbTtwAMPLP1zoVDIpEmTcuWVV+a0005LkkybNi21tbWZMWNGzj333DQ0NOTWW2/NHXfcUVq4afr06enatWvmzp2bwYMHv6PXBACwOTPLAADYJvfcc0/69OmT008/PV26dMnRRx+dW265pbR/8eLFWb58eQYNGlTaVl1dnRNOOCGPPPJIkmThwoVZv359kzH19fXp2bNnaczmGhsbs2rVqiYvAIBdRVgGAMA2+e1vf5ubbropPXr0yL333psvf/nLufDCC3P77bcnSZYvX54kqa2tbXJcbW1tad/y5cvTunXr7Lfffm86ZnPjx49PTU1N6dW1a9fmvjQAgBJhGQAA22Tjxo354Ac/mHHjxuXoo4/Oueeem7PPPjs33XRTk3EVFRVN3hcKhS22be6txowZMyYNDQ2l19KlS3fuQgAA3oKwDACAbXLAAQfkAx/4QJNthx12WJYsWZIkqaurS5ItZoitWLGiNNusrq4u69aty8qVK990zOaqq6vTsWPHJi8AgF1FWAYAwDY57rjj8txzzzXZ9vzzz+e9731vkqR79+6pq6vLnDlzSvvXrVuXBx98MP3790+S9O7dO61atWoyZtmyZXnqqadKYwAAyslqmAAAbJOvfvWr6d+/f8aNG5dhw4blsccey80335ybb745yRu3X44aNSrjxo1Ljx490qNHj4wbNy7t2rXL8OHDkyQ1NTU566yzMnr06HTu3DmdOnXKJZdckl69epVWxwQAKCdhGQAA2+SYY47JrFmzMmbMmFxzzTXp3r17Jk2alM997nOlMZdddlnWrl2b8847LytXrkzfvn1z3333pUOHDqUxEydOTFVVVYYNG5a1a9dm4MCBmTp1aiorK8txWQAATVQUCoVCuYvYFVatWpWampo0NDR4rgVsxfy7ri93CZRR39NHl7sE2G3pIXZ/fke7P33G3k2fAeyutrWH8MwyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQFFVuQsAAAB2LzPmL9mp4w9upjoAoBzMLAMAAACAImEZAAAAABS5DRMAAGji4CV3lbsEACgbM8sAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRB/wD7I0ev23nju/zxeapAwAAYDcjLIM91Iz5S3bq+IObqQ72TPMXv7JTx/ft00yFAAAA7GaEZQAAADSfnZ3BnpjFDpTVLn9m2fjx41NRUZFRo0aVthUKhYwdOzb19fVp27ZtBgwYkKeffrrJcY2NjRk5cmT233//tG/fPkOHDs3LL7+8q8sFAAAAYC+2S8OyBQsW5Oabb84RRxzRZPuECRNyww03ZMqUKVmwYEHq6upy0kknZfXq1aUxo0aNyqxZszJz5szMmzcva9asyZAhQ7Jhw4ZdWTIAAAAAe7FddhvmmjVr8rnPfS633HJLvvnNb5a2FwqFTJo0KVdeeWVOO+20JMm0adNSW1ubGTNm5Nxzz01DQ0NuvfXW3HHHHTnxxBOTJNOnT0/Xrl0zd+7cDB48eFeVDXuMg5fcVe4SAAAAoMXZZTPLzj///JxyyimlsGuTxYsXZ/ny5Rk0aFBpW3V1dU444YQ88sgjSZKFCxdm/fr1TcbU19enZ8+epTGba2xszKpVq5q8AAAAAGB77JKZZTNnzswTTzyRBQsWbLFv+fLlSZLa2tom22tra/PSSy+VxrRu3Tr77bffFmM2Hb+58ePH5+qrr26O8gEAANhBO7vqdmLlbaC8mn1m2dKlS3PRRRdl+vTpadOmzZuOq6ioaPK+UChssW1zbzVmzJgxaWhoKL2WLl26/cUDAAAAsFdr9rBs4cKFWbFiRXr37p2qqqpUVVXlwQcfzHe/+91UVVWVZpRtPkNsxYoVpX11dXVZt25dVq5c+aZjNlddXZ2OHTs2eQEAAADA9mj2sGzgwIH59a9/nUWLFpVeffr0yec+97ksWrQoBx10UOrq6jJnzpzSMevWrcuDDz6Y/v37J0l69+6dVq1aNRmzbNmyPPXUU6UxAAAAANDcmj0s69ChQ3r27Nnk1b59+3Tu3Dk9e/ZMRUVFRo0alXHjxmXWrFl56qmn8oUvfCHt2rXL8OHDkyQ1NTU566yzMnr06Nx///158skn8/nPfz69evXaYsEAAADKY/z48aXebpNCoZCxY8emvr4+bdu2zYABA/L00083Oa6xsTEjR47M/vvvn/bt22fo0KF5+eWX3+HqAQC2bpethvlWLrvssowaNSrnnXde+vTpk9/97ne577770qFDh9KYiRMn5pOf/GSGDRuW4447Lu3atct//Md/pLKyshwlAwDwVxYsWJCbb745RxxxRJPtEyZMyA033JApU6ZkwYIFqaury0knnZTVq1eXxowaNSqzZs3KzJkzM2/evKxZsyZDhgzJhg0b3unLAADYQkWhUCiUu4hdYdWqVampqUlDQ4Pnl9Eizb/r+nKXwF6s7+mjy10C7DJ6iLe3Zs2afPCDH8yNN96Yb37zmznqqKMyadKkFAqF1NfXZ9SoUbn88suTvDGLrLa2Ntddd13OPffcNDQ05N3vfnfuuOOO/N3f/V2S5Pe//326du2a//qv/8rgwYPf9vP9jnY9fQblptcAdoVt7SHKMrMMAIA91/nnn59TTjlli8djLF68OMuXL8+gQYNK26qrq3PCCSfkkUceSfLGYlDr169vMqa+vj49e/YsjdlcY2NjVq1a1eQFALCrVJW7AAAA9hwzZ87ME088kQULFmyxb9Nq55uvXl5bW5uXXnqpNKZ169bZb7/9thiz+Wrpm4wfPz5XX311c5QPAPC2zCwDAGCbLF26NBdddFGmT5+eNm3avOm4ioqKJu8LhcIW2zb3VmPGjBmThoaG0mvp0qXbXzwAwDYSlgEAsE0WLlyYFStWpHfv3qmqqkpVVVUefPDBfPe7301VVVVpRtnmM8RWrFhR2ldXV5d169Zl5cqVbzpmc9XV1enYsWOTFwDAriIsAwBgmwwcODC//vWvs2jRotKrT58++dznPpdFixbloIMOSl1dXebMmVM6Zt26dXnwwQfTv3//JEnv3r3TqlWrJmOWLVuWp556qjQGAKCcPLMMAIBt0qFDh/Ts2bPJtvbt26dz586l7aNGjcq4cePSo0eP9OjRI+PGjUu7du0yfPjwJElNTU3OOuusjB49Op07d06nTp1yySWXpFevXlssGAAAUA7CMgAAms1ll12WtWvX5rzzzsvKlSvTt2/f3HfffenQoUNpzMSJE1NVVZVhw4Zl7dq1GThwYKZOnZrKysoyVg4A8AZhGQAAO+znP/95k/cVFRUZO3Zsxo4d+6bHtGnTJpMnT87kyZN3bXEAADvAM8sAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKCoqtwFALDnmTF/yU6fY3jfbs1QCQAAQPMSlgGw3Q5ectfOn6Tv6J0/BwAAQDNzGyYAAAAAFAnLAAAAAKBIWAYAAAAARZ5ZBmWysw9IP7iZ6gAAAAD+j5llAAAAAFAkLAMAAACAImEZAAAAABR5ZhkAALQ0j99W7goAYI9lZhkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAAChq9gf8jx8/PnfffXf+53/+J23btk3//v1z3XXX5ZBDDimNKRQKufrqq3PzzTdn5cqV6du3b/75n/85hx9+eGlMY2NjLrnkkvzgBz/I2rVrM3DgwNx44415z3ve09wlQ1kcvOSucpcAALRQ8xe/Uu4SAGCP1ewzyx588MGcf/75efTRRzNnzpy8/vrrGTRoUF599dXSmAkTJuSGG27IlClTsmDBgtTV1eWkk07K6tWrS2NGjRqVWbNmZebMmZk3b17WrFmTIUOGZMOGDc1dMgAAAAAk2QUzy2bPnt3k/W233ZYuXbpk4cKF+fCHP5xCoZBJkyblyiuvzGmnnZYkmTZtWmprazNjxoyce+65aWhoyK233po77rgjJ554YpJk+vTp6dq1a+bOnZvBgwc3d9kAAAAAsOufWdbQ0JAk6dSpU5Jk8eLFWb58eQYNGlQaU11dnRNOOCGPPPJIkmThwoVZv359kzH19fXp2bNnaczmGhsbs2rVqiYvAAAAANgeuzQsKxQKufjii3P88cenZ8+eSZLly5cnSWpra5uMra2tLe1bvnx5Wrdunf322+9Nx2xu/PjxqampKb26du3a3JcDAAAAQAu3S8OyCy64IP/93/+dH/zgB1vsq6ioaPK+UChssW1zbzVmzJgxaWhoKL2WLl2644UDALCF8ePH55hjjkmHDh3SpUuXfPKTn8xzzz3XZEyhUMjYsWNTX1+ftm3bZsCAAXn66aebjGlsbMzIkSOz//77p3379hk6dGhefvnld/JSAADeVLM/s2yTkSNH5p577slDDz3UZAXLurq6JG/MHjvggANK21esWFGabVZXV5d169Zl5cqVTWaXrVixIv3799/q51VXV6e6unpXXAoAAPm/hZyOOeaYvP7667nyyiszaNCgPPPMM2nfvn2S/1vIaerUqXn/+9+fb37zmznppJPy3HPPpUOHDkneWMjpP/7jPzJz5sx07tw5o0ePzpAhQ7Jw4cJUVlaW8xKB3cSM+Ut26vjhfbs1UyXA3qjZZ5YVCoVccMEFufvuu/Ozn/0s3bt3b7K/e/fuqaury5w5c0rb1q1blwcffLAUhPXu3TutWrVqMmbZsmV56qmn3jQsAwBg15o9e3a+8IUv5PDDD8+RRx6Z2267LUuWLMnChQuTZIuFnHr27Jlp06bltddey4wZM5KktJDT9ddfnxNPPDFHH310pk+fnl//+teZO3duOS8PACDJLgjLzj///EyfPj0zZsxIhw4dsnz58ixfvjxr165N8sbtl6NGjcq4ceMya9asPPXUU/nCF76Qdu3aZfjw4UmSmpqanHXWWRk9enTuv//+PPnkk/n85z+fXr16lVbHBACgvCzkBAC0RM1+G+ZNN92UJBkwYECT7bfddlu+8IUvJEkuu+yyrF27Nuedd15WrlyZvn375r777itNzU+SiRMnpqqqKsOGDcvatWszcODATJ061dR8AIDdwPYu5PTSSy+VxuzIQk5XX311c18CAMBWNXtYVigU3nZMRUVFxo4dm7Fjx77pmDZt2mTy5MmZPHlyM1YHAEBz2LSQ07x587bYtysWcrr44otL71etWmXlcwBgl9mlq2ECANDybFrI6YEHHnjThZz+2pst5PRmYzZXXV2djh07NnkBAOwqu2w1TAAAWpZCoZCRI0dm1qxZ+fnPf/6WCzkdffTRSf5vIafrrrsuSdOFnIYNG5bk/xZymjBhwjt7QcBu6+Ald+3cCfqObp5CgL2SsAwAgG1y/vnnZ8aMGfnxj39cWsgpeWNxprZt2zZZyKlHjx7p0aNHxo0b96YLOXXu3DmdOnXKJZdcYiEnAGC3ISwDAGCbWMgJANgbCMsAANgmFnICAPYGHvAPAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQVFXuAgDYSz1+284d3+eLzVMHAADAXxGWAVAW8xe/slPH9+3TTIUAAAD8FbdhAgAAAECRsAwAAAAAityGCTtoxvwlO3X8wc1UBwDQAu3scx0BgB1mZhkAAAAAFAnLAAAAAKDIbZiwgw5ecle5SwAAALZmZ29l7vPF5qkD2CMJywAAYDczf/Er5S4BAPZabsMEAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFHvAPAABAi7Kzi2T07dNMhQB7JDPLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABAkbAMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKKoqdwFQNo/fVu4KAAAAgN2MsAwAAAD+2s5+sd7ni81TB1AWbsMEAAAAgCJhGQAAAAAUuQ0TgD3SjPlLdur44X27NVMlAABASyIsY681f/Er5S4B2AkHL7lr507Qd3TzFAIAtDg7+98Kffs0UyFAWbgNEwAAAACKzCwDAIBmtrO3ih/cTHUAANtPWAYAAM1sp28VBwDKxm2YAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEVWwwRgrzT/rut36vi+p49upkoAAIDdibCMPdaM+Ut26viDm6kOAAAAoOVwGyYAAAAAFAnLAAAAAKDIbZjssQ5ecle5SwAAWqrHbyt3BcAebGcfGTO8b7dmqgTYEcIyAADYzPzFr5S7BGAPttNf7Pe1kBCU024flt1444351re+lWXLluXwww/PpEmT8jd/8zflLotkp79x1YQCezKraQIAQMu0Wz+z7Ic//GFGjRqVK6+8Mk8++WT+5m/+JieffHKWLNm5Ka0AAAAAsDW79cyyG264IWeddVb+/u//PkkyadKk3Hvvvbnpppsyfvz4MlcHAAAAzc8zz6C8dtuwbN26dVm4cGGuuOKKJtsHDRqURx55ZIvxjY2NaWxsLL1ftWrVLq8RAHbYzj48vM8Xm6cOKCOP2wAAdke7bVj2pz/9KRs2bEhtbW2T7bW1tVm+fPkW48ePH5+rr776nSrvDeX+D51yr9K0k/X37dNMdQAAe5xNj9u48cYbc9xxx+X73/9+Tj755DzzzDPp1s2MCACgfHbbsGyTioqKJu8LhcIW25JkzJgxufjii0vvV61ala5du+7y+gAA2H4etwHw5vb61TTLPTGFvd5uG5btv//+qays3GIW2YoVK7aYbZYk1dXVqa6ufqfKe4P/AQIAbDeP2wDYtXZ61e7unXaugJ38b+X5i1/ZqePdxcTO2m3DstatW6d3796ZM2dO/vZv/7a0fc6cOfnEJz5RxsoAANgZe8LjNvqevofPygAop52cGeb/gym33TYsS5KLL744I0aMSJ8+fdKvX7/cfPPNWbJkSb785S+Xu7Tdg5ltAMAezOM2AFoo/63KHm63Dsv+7u/+Lv/v//2/XHPNNVm2bFl69uyZ//qv/8p73/vecpcGAMAO2iMetwEA7LX2KXcBb+e8887Liy++mMbGxixcuDAf/vCHy10SAAA74a8ft/HX5syZk/79+5epKgCAN+zWM8sAAGiZPG4DANhdCcsAAHjHedwGALC7EpYBAFAW5513Xs4777xylwEA0MRu/8wyAAAAAHinCMsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFAkLAMAAACAImEZAAAAABQJywAAAACgSFgGAAAAAEXCMgAAAAAoEpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKCoqtwF7CqFQiFJsmrVqjJXAgDsSTb1Dpt6CXY/+jwAYEdsa5/XYsOy1atXJ0m6du1a5koAgD3R6tWrU1NTU+4y2Ap9HgCwM96uz6sotNCvTTdu3Jjf//736dChQyoqKpr9/KtWrUrXrl2zdOnSdOzYsdnPz1vz8y8vP//y8vMvP7+D8trVP/9CoZDVq1envr4+++zjiRW7I31ey+bnX15+/uXnd1Befv7ltbv0eS12Ztk+++yT97znPbv8czp27Oh/QGXk519efv7l5edffn4H5bUrf/5mlO3e9Hl7Bz//8vLzLz+/g/Ly8y+vcvd5vi4FAAAAgCJhGQAAAAAUCct2UHV1db7+9a+nurq63KXslfz8y8vPv7z8/MvP76C8/PzZ1fw7Vl5+/uXl519+fgfl5edfXrvLz7/FPuAfAAAAALaXmWUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWLaDbrzxxnTv3j1t2rRJ796984tf/KLcJe0Vxo8fn2OOOSYdOnRIly5d8slPfjLPPfdcucvaa40fPz4VFRUZNWpUuUvZa/zud7/L5z//+XTu3Dnt2rXLUUcdlYULF5a7rL3C66+/nn/8x39M9+7d07Zt2xx00EG55pprsnHjxnKX1iI99NBDOfXUU1NfX5+Kior86Ec/arK/UChk7Nixqa+vT9u2bTNgwIA8/fTT5SmWFkefVx76vN2LPu+dp88rH33eO2tP6POEZTvghz/8YUaNGpUrr7wyTz75ZP7mb/4mJ598cpYsWVLu0lq8Bx98MOeff34effTRzJkzJ6+//noGDRqUV199tdyl7XUWLFiQm2++OUcccUS5S9lrrFy5Mscdd1xatWqVn/70p3nmmWdy/fXXZ9999y13aXuF6667Lt/73vcyZcqUPPvss5kwYUK+9a1vZfLkyeUurUV69dVXc+SRR2bKlClb3T9hwoTccMMNmTJlShYsWJC6urqcdNJJWb169TtcKS2NPq989Hm7D33eO0+fV176vHfWHtHnFdhuxx57bOHLX/5yk22HHnpo4YorrihTRXuvFStWFJIUHnzwwXKXsldZvXp1oUePHoU5c+YUTjjhhMJFF11U7pL2Cpdffnnh+OOPL3cZe61TTjml8KUvfanJttNOO63w+c9/vkwV7T2SFGbNmlV6v3HjxkJdXV3hn/7pn0rb/vKXvxRqamoK3/ve98pQIS2JPm/3oc8rD31eeejzykufVz67a59nZtl2WrduXRYuXJhBgwY12T5o0KA88sgjZapq79XQ0JAk6dSpU5kr2bucf/75OeWUU3LiiSeWu5S9yj333JM+ffrk9NNPT5cuXXL00UfnlltuKXdZe43jjz8+999/f55//vkkya9+9avMmzcvH//4x8tc2d5n8eLFWb58eZO/xdXV1TnhhBP8LWan6PN2L/q88tDnlYc+r7z0ebuP3aXPq3rHPqmF+NOf/pQNGzaktra2yfba2tosX768TFXtnQqFQi6++OIcf/zx6dmzZ7nL2WvMnDkzTzzxRBYsWFDuUvY6v/3tb3PTTTfl4osvzj/8wz/ksccey4UXXpjq6uqcccYZ5S6vxbv88svT0NCQQw89NJWVldmwYUOuvfbafPazny13aXudTX9vt/a3+KWXXipHSbQQ+rzdhz6vPPR55aPPKy993u5jd+nzhGU7qKKiosn7QqGwxTZ2rQsuuCD//d//nXnz5pW7lL3G0qVLc9FFF+W+++5LmzZtyl3OXmfjxo3p06dPxo0blyQ5+uij8/TTT+emm27SRL0DfvjDH2b69OmZMWNGDj/88CxatCijRo1KfX19zjzzzHKXt1fyt5hdxb9b5afPe+fp88pLn1de+rzdT7n/FgvLttP++++fysrKLb5dXLFixRbJJ7vOyJEjc8899+Shhx7Ke97znnKXs9dYuHBhVqxYkd69e5e2bdiwIQ899FCmTJmSxsbGVFZWlrHClu2AAw7IBz7wgSbbDjvssPz7v/97mSrau1x66aW54oor8pnPfCZJ0qtXr7z00ksZP368JuodVldXl+SNbx4POOCA0nZ/i9lZ+rzdgz6vPPR55aXPKy993u5jd+nzPLNsO7Vu3Tq9e/fOnDlzmmyfM2dO+vfvX6aq9h6FQiEXXHBB7r777vzsZz9L9+7dy13SXmXgwIH59a9/nUWLFpVeffr0yec+97ksWrRIA7WLHXfccXnuueeabHv++efz3ve+t0wV7V1ee+217LNP0z+blZWVlhQvg+7du6eurq7J3+J169blwQcf9LeYnaLPKy99Xnnp88pLn1de+rzdx+7S55lZtgMuvvjijBgxIn369Em/fv1y8803Z8mSJfnyl79c7tJavPPPPz8zZszIj3/843To0KH0zW9NTU3atm1b5upavg4dOmzx3JD27dunc+fOnifyDvjqV7+a/v37Z9y4cRk2bFgee+yx3Hzzzbn55pvLXdpe4dRTT821116bbt265fDDD8+TTz6ZG264IV/60pfKXVqLtGbNmrzwwgul94sXL86iRYvSqVOndOvWLaNGjcq4cePSo0eP9OjRI+PGjUu7du0yfPjwMlZNS6DPKx99Xnnp88pLn1de+rx31h7R571j6262MP/8z/9ceO9731to3bp14YMf/KAlrd8hSbb6uu2228pd2l7LkuLvrP/4j/8o9OzZs1BdXV049NBDCzfffHO5S9prrFq1qnDRRRcVunXrVmjTpk3hoIMOKlx55ZWFxsbGcpfWIj3wwANb/f/7M888s1AovLGs+Ne//vVCXV1dobq6uvDhD3+48Otf/7q8RdNi6PPKQ5+3+9HnvbP0eeWjz3tn7Ql9XkWhUCi8c9EcAAAAAOy+PLMMAAAAAIqEZQAAAABQJCwDAAAAgCJhGQAAAAAUCcsAAAAAoEhYBgAAAABFwjIAAAAAKBKWAQAAAECRsAwAAAAAioRlAAAAAFBUVe4CAN4pAwYMSM+ePZMk06dPT2VlZb7yla/kG9/4RioqKspcHQAAO0qfBzQnM8uAvcq0adNSVVWV+fPn57vf/W4mTpyYf/mXfyl3WQAA7CR9HtBcKgqFQqHcRQC8EwYMGJAVK1bk6aefLn3DeMUVV+See+7JM888U+bqAADYUfo8oDmZWQbsVT70oQ81mYrfr1+//OY3v8mGDRvKWBUAADtLnwc0F2EZAAAAABQJy4C9yqOPPrrF+x49eqSysrJMFQEA0Bz0eUBzEZYBe5WlS5fm4osvznPPPZcf/OAHmTx5ci666KJylwUAwE7S5wHNparcBQC8k84444ysXbs2xx57bCorKzNy5Micc8455S4LAICdpM8DmouwDNirtGrVKpMmTcpNN91U7lIAAGhG+jygubgNEwAAAACKhGUAAAAAUFRRKBQK5S4CAAAAAHYHZpYBAAAAQJGwDAAAAACKhGUAAAAAUCQsAwAAAIAiYRkAAAAAFAnLAAAAAKBIWAYAAAAARcIyAAAAACgSlgEAAABA0f8PazEu+6f9JM0AAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -1272,17 +1272,17 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:10.111512Z", - "iopub.status.busy": "2024-03-13T13:47:10.111351Z", - "iopub.status.idle": "2024-03-13T13:47:10.115209Z", - "shell.execute_reply": "2024-03-13T13:47:10.114721Z" + "iopub.execute_input": "2024-04-04T17:24:14.271734Z", + "iopub.status.busy": "2024-04-04T17:24:14.271532Z", + "iopub.status.idle": "2024-04-04T17:24:14.276102Z", + "shell.execute_reply": "2024-04-04T17:24:14.275649Z" } }, "outputs": [ { "data": { "text/plain": [ - "-0.3543723402153457" + "-0.3470533423073679" ] }, "execution_count": 30, @@ -1306,10 +1306,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:10.116888Z", - "iopub.status.busy": "2024-03-13T13:47:10.116729Z", - "iopub.status.idle": "2024-03-13T13:47:10.121660Z", - "shell.execute_reply": "2024-03-13T13:47:10.121195Z" + "iopub.execute_input": "2024-04-04T17:24:14.277968Z", + "iopub.status.busy": "2024-04-04T17:24:14.277786Z", + "iopub.status.idle": "2024-04-04T17:24:14.283382Z", + "shell.execute_reply": "2024-04-04T17:24:14.282972Z" } }, "outputs": [ @@ -1317,7 +1317,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.005485992073020391" + "0.01224881923971009" ] }, { @@ -1331,7 +1331,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.019241846219202496" + "-0.017283269989374316" ] }, { @@ -1359,16 +1359,16 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:10.123358Z", - "iopub.status.busy": "2024-03-13T13:47:10.123197Z", - "iopub.status.idle": "2024-03-13T13:47:10.303939Z", - "shell.execute_reply": "2024-03-13T13:47:10.303470Z" + "iopub.execute_input": "2024-04-04T17:24:14.285380Z", + "iopub.status.busy": "2024-04-04T17:24:14.285196Z", + "iopub.status.idle": "2024-04-04T17:24:14.482320Z", + "shell.execute_reply": "2024-04-04T17:24:14.481785Z" } }, "outputs": [ { "data": { - "image/png": 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pUydd700Ia9asueExatasqdmzZ2v27NnXbOPt7a2lS5eWqcaqpLCwUK6urs4uo1zYbDYVFRWpevXK8+owb29vZ5cAAJVWhc2ZQfnq1KmTRo4cqcTERPn6+qpr166SpL179+q3v/2tatWqJX9/fw0cOFA//vijsV9xcbFeffVVNW7cWG5ubmrQoIFefvllY/vu3bv10EMPyd3dXT4+PnrmmWd07tw5Y/ugQYP0yCOP6I033lBgYKB8fHw0YsQIXbp0yWgzd+5chYWFqWbNmvL399fjjz9u7PvFF1/o7bffNl5xcfUypMVi0Zo1axQZGSk3Nzd9+eWXxrl+acyYMerUqdNN9Sc0NFSS1KZNG1ksFrv9UlJS1Lx5c9WsWVPNmjXT3Llz7c6zbds2tWnTRjVr1lRkZKR27dp1w5/Jtfp99ef1y8tM2dnZ6tGjh9zd3RUaGqr3339fDRs2vO6I1dXvx4wZM+Tv7686depo2rRpunz5svEG9fr16+vvf/+73X4TJ05UkyZN5OHhoUaNGmnKlCl2P6///ve/iomJkZeXl2rXrq127dpp+/btkq687qJXr16qW7euPD091bJlyxJP8gYAZ6s8//WtghYvXqxhw4Zp8+bNstlsys7OVseOHZWQkKC33npLFy5c0MSJE9WvXz+tX79e0pXb1hcsWKCZM2fq/vvvV3Z2tr777jtJ0s8//6zu3burffv2Sk9PV25urp5++mmNHDlSixYtMs67YcMGBQYGasOGDTp06JCeeOIJtW7dWgkJCdq+fbtGjx6t9957T9HR0frpp5/05ZdfSpLefvttHThwQOHh4Zo+fbokqV69ejp69KgkacKECXrjjTfUqFEj1alT56a+B9frz7Zt23Tvvfdq3bp1atmypTFytWDBAr344ouaM2eO2rRpo127dikhIUGenp6Kj4/X+fPn1bNnTz300ENaunSpMjMz9dxzz123juv1uzRPPvmkfvzxR23cuFE1atRQYmKi3UMlr2X9+vWqX7++Nm3apM2bN2vIkCHaunWrHnzwQX399ddasWKFhg4dqq5duxqPI/Dy8tKiRYsUFBSk3bt3KyEhQV5eXpowYYIk6fe//73atGmjefPmycXFRRkZGcYlsREjRqiwsFCbNm2Sp6en9u7dq1q1at34BwMAFYgwY2KNGzfWa6+9Znx+4YUX1LZtW82YMcNY9/e//13BwcE6cOCAAgMD9fbbb2vOnDnGSxjvuusu3X///ZKuzE+6cOGClixZIk9PT0nSnDlz1KtXL7366qvG7fB169bVnDlz5OLiombNmqlHjx76z3/+o4SEBGVlZcnT01M9e/aUl5eXQkJC1KZNG0lXJn27urrKw8Oj1NdcTJ8+3Rhhuhlnz569bn/q1asnSfLx8bE730svvaQ333zTeN5RaGio9u7dq3fffVfx8fFatmyZioqK9Pe//10eHh5q2bKlvv/+ew0bNuyatVyv37/23Xffad26dUpPT1dkZKQk6W9/+5vCwsJu2Gdvb2/95S9/UbVq1dS0aVO99tpr+vnnnzVp0iRJV8LdK6+8os2bN6t///6SpD/96U/G/g0bNtS4ceO0YsUKI8xkZWXpj3/8o5o1ayZJdnVkZWXpscceU0REhCSpUaNGN6wRACoaYcbErv4ivGrHjh3asGFDqf9zPnz4sM6cOaOCggJ17ty51OPt27dPrVq1MoKMJHXo0EHFxcXav3+/EWZatmxpN0k7MDBQu3fvliR17dpVISEhatSokbp3767u3bvr0UcflYeHxy3350b27dt33f6U5ocfftDx48c1ZMgQJSQkGOsvX74sq9VqHLdVq1Z2NUdFRV33uLfS7/3796t69epq27atsa5x48YlnoZdmpYtW6patf9/ddjf31/h4eHGZxcXF/n4+NiN8nz44YeaNWuWDh06pHPnzuny5ct2z15KTEzU008/bbwnrW/fvrrrrrskSaNHj9awYcO0du1adenSRY899pjuvvvuG9YJABWJOTMm9svQIV2ZP9KrVy/jlvmry8GDB/Xggw/K3d39use73pOVf7n+13flWCwWFRcXS7pySWPnzp364IMPFBgYqBdeeEGtWrXSmTNnbrk/1apVKzHJ/JdzPW7Un9JcrXPBggV236M9e/YoLS1Nkq47sf1abqXf1zr+zZy3tO/99X4eaWlp6t+/v+Li4vTJJ59o165dmjx5sgoLC432U6dO1bfffqsePXpo/fr1atGihVatWiVJevrpp3XkyBENHDhQu3fvVmRk5HUn7AOAMxBmKpG2bdvq22+/VcOGDdW4cWO7xdPTU2FhYXJ3d9d//vOfUvdv0aKFMjIydP78eWPd5s2bVa1aNTVp0uSm66hevbq6dOmi1157Td98842OHj1qzNlxdXVVUVHRTR2nXr16ys7Otlv3y+e83Kg/V+fI/PJ8/v7++s1vfqMjR46U+B5dnTDcokUL/fe//9WFCxeM/a4GnbL2+5eaNWumy5cv200qPnTo0E0Fvlu1efNmhYSEaPLkyYqMjFRYWJiOHTtWol2TJk00duxYrV27Vn369FFKSoqxLTg4WEOHDtXKlSs1btw4LViwoNzrBIDbQZipREaMGKGffvpJv/vd77Rt2zYdOXJEa9eu1eDBg1VUVKSaNWtq4sSJmjBhgpYsWaLDhw8rLS1NCxculHRlImjNmjUVHx+vPXv2aMOGDRo1apQGDhx43ddH/NInn3yiv/zlL8rIyNCxY8e0ZMkSFRcXGw85bNiwob7++msdPXpUP/74ozGCUJqHHnpI27dv15IlS3Tw4EG9+OKL2rNnj7H9Rv3x8/OTu7u7Vq9erZMnTyovL0/SlZGI5ORkY0Ly7t27lZKSorfeekuSNGDAAFWrVk1DhgzR3r179dlnn+mNN964rX7/UrNmzdSlSxc988wz2rZtm3bt2qVnnnlG7u7u133nWFk0btxYWVlZWr58uQ4fPqy//OUvxqiLJF24cEEjR47Uxo0bdezYMW3evFnp6elq3ry5pCt3j61Zs0aZmZnauXOn1q9fb2wDgDsFc2YqkaCgIG3evFkTJ05UbGysCgoKFBISou7duxvzLKZMmaLq1avrhRde0IkTJxQYGKihQ4dKkjw8PLRmzRo999xzuueee+Th4aHHHnvM+CV/M+rUqaOVK1dq6tSpunjxosLCwvTBBx+oZcuWkqTx48crPj5eLVq00IULF5SZmXnNY8XGxmrKlCmaMGGCLl68qMGDB+vJJ5805ufcqD/Vq1fXX/7yF02fPl0vvPCCHnjgAW3cuFFPP/20PDw89Prrr2vChAny9PRURESEcet0rVq19O9//1tDhw5VmzZt1KJFC7366qt67LHHytzvX1uyZImGDBmiBx98UAEBAUpOTta3336rmjVr3vT3+mY8/PDDGjt2rEaOHKmCggL16NFDU6ZM0dSpUyVdmWNz6tQpPfnkkzp58qR8fX3Vp08fTZs2TdKVUa0RI0bo+++/V+3atdW9e3fNnDmzXGtEBbudB4JWkYd7wnwstrJMEDCZ/Px8Wa1W5eXllXjp5MWLF5WZmanQ0NBy/0UC3Kzvv/9ewcHBWrdu3S1NaL6TVMm/SxX9pHBnI8yggl3v9/cvMTIDOMH69et17tw5RUREKDs7WxMmTFDDhg314IMPOrs0ADAdwgzgBJcuXdKkSZN05MgReXl5KTo6WsuWLeP9TQBQBoQZwAliY2MVGxvr7DIAoFLgbiYAAGBqhJn/pwrMgwYcir9DAJylyoeZq3MUfv75ZydXApjb1acK//JVFwBQEar8nBkXFxfVqVPHeJeNh4dHuT+4DKjsiouL9cMPP8jDw0PVq1f5f1YAVDD+1ZGMNyr/8uV8AG5NtWrV1KBBA/4zAKDCEWZ05cV8gYGB8vPzs3uRIYCb5+rqavdGbwCoKISZX3BxceF6PwAAJsN/owAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKnxBGAAVduGZGdXAOA2MTIDAABMjTADAABMjTADAABMrcxhZtOmTerVq5eCgoJksVj00UcfGdsuXbqkiRMnKiIiQp6engoKCtKTTz6pEydO2B2jU6dOslgsdkv//v3t2pw+fVoDBw6U1WqV1WrVwIEDdebMmbKWDQAAKpkyh5nz58+rVatWmjNnToltP//8s3bu3KkpU6Zo586dWrlypQ4cOKDevXuXaJuQkKDs7Gxjeffdd+22DxgwQBkZGVq9erVWr16tjIwMDRw4sKxlAwCASqbMdzPFxcUpLi6u1G1Wq1Wpqal262bPnq17771XWVlZatCggbHew8NDAQEBpR5n3759Wr16tdLS0nTfffdJkhYsWKCoqCjt379fTZs2LXW/goICFRQUGJ/z8/NvqW8AAMA8KmzOTF5eniwWi+rUqWO3ftmyZfL19VXLli01fvx4nT171ti2detWWa1WI8hIUvv27WW1WrVly5Zrnis5Odm4LGW1WhUcHFzu/QEAAHeGCnnOzMWLF/X8889rwIABql27trH+97//vUJDQxUQEKA9e/YoKSlJ//3vf41RnZycHPn5+ZU4np+fn3Jycq55vqSkJCUmJhqf8/PzCTQAAFRSDg8zly5dUv/+/VVcXKy5c+fabUtISDC+Dg8PV1hYmCIjI7Vz5061bdtWkmSxWEoc02azlbr+Kjc3N7m5uZVTDwAAwJ3MoZeZLl26pH79+ikzM1Opqal2ozKladu2rWrUqKGDBw9KkgICAnTy5MkS7X744Qf5+/s7pGYAAGAuDgszV4PMwYMHtW7dOvn4+Nxwn2+//VaXLl1SYGCgJCkqKkp5eXnatm2b0ebrr79WXl6eoqOjHVU6AAAwkTJfZjp37pwOHTpkfM7MzFRGRoa8vb0VFBSkxx9/XDt37tQnn3yioqIiY46Lt7e3XF1ddfjwYS1btky//e1v5evrq71792rcuHFq06aNOnToIElq3ry5unfvroSEBOOW7WeeeUY9e/a85p1MAACgarHYbDZbWXbcuHGjYmJiSqyPj4/X1KlTFRoaWup+GzZsUKdOnXT8+HH94Q9/0J49e3Tu3DkFBwerR48eevHFF+Xt7W20/+mnnzR69Gh9/PHHkqTevXtrzpw5Je6Kup78/HxZrVbl5eXd8FIXgCqGF03evJgkZ1eAKuZmf3+XOcyYCWEGwDURZm4eYQYV7GZ/f/NuJgAAYGoV8pwZAEAlcDujWIzqwIEYmQEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZW3dkFAEBVtPXIqTLvG9XIpxwrAcyPkRkAAGBqhBkAAGBqhBkAAGBqzJkBgDK6nXkvAMoPYQYATIbJw4A9LjMBAABTK/PIzKZNm/T6669rx44dys7O1qpVq/TII48Y2202m6ZNm6b58+fr9OnTuu+++/TXv/5VLVu2NNoUFBRo/Pjx+uCDD3ThwgV17txZc+fOVf369Y02p0+f1ujRo/Xxxx9Lknr37q3Zs2erTp06ZS0dQGWzIdnZFQBwojKPzJw/f16tWrXSnDlzSt3+2muv6a233tKcOXOUnp6ugIAAde3aVWfPnjXajBkzRqtWrdLy5cv11Vdf6dy5c+rZs6eKioqMNgMGDFBGRoZWr16t1atXKyMjQwMHDixr2QAAoJIp88hMXFyc4uLiSt1ms9k0a9YsTZ48WX369JEkLV68WP7+/nr//ff17LPPKi8vTwsXLtR7772nLl26SJKWLl2q4OBgrVu3TrGxsdq3b59Wr16ttLQ03XfffZKkBQsWKCoqSvv371fTpk1LPX9BQYEKCgqMz/n5+WXtJgAAuMM5ZM5MZmamcnJy1K1bN2Odm5ubOnbsqC1btkiSduzYoUuXLtm1CQoKUnh4uNFm69atslqtRpCRpPbt28tqtRptSpOcnCyr1WoswcHB5d1FAABwh3BImMnJyZEk+fv726339/c3tuXk5MjV1VV169a9bhs/P78Sx/fz8zPalCYpKUl5eXnGcvz48dvqDwAAuHM59NZsi8Vi99lms5VY92u/blNa+xsdx83NTW5ubrdYLQAAMCOHjMwEBARIUonRk9zcXGO0JiAgQIWFhTp9+vR125w8ebLE8X/44YcSoz4AAKBqckiYCQ0NVUBAgFJTU411hYWF+uKLLxQdHS1JateunWrUqGHXJjs7W3v27DHaREVFKS8vT9u2bTPafP3118rLyzPaAACAqq3Ml5nOnTunQ4cOGZ8zMzOVkZEhb29vNWjQQGPGjNGMGTMUFhamsLAwzZgxQx4eHhowYIAkyWq1asiQIRo3bpx8fHzk7e2t8ePHKyIiwri7qXnz5urevbsSEhL07rvvSpKeeeYZ9ezZ85p3MgEAgKqlzGFm+/btiomJMT4nJiZKkuLj47Vo0SJNmDBBFy5c0PDhw42H5q1du1ZeXl7GPjNnzlT16tXVr18/46F5ixYtkouLi9Fm2bJlGj16tHHXU+/eva/5bBsAAFD1WGw2m83ZRThafn6+rFar8vLyVLt2bWeXA6C8OekJwGZ80aTT3s0Uk+Sc88LUbvb3N+9mAgAApkaYAQAApkaYAQAApkaYAQAApkaYAQAApkaYAQAApubQdzMBAO4st3M7udNu6wZugJEZAABgaozMAKjSzPjgO1O6nQcb8sA93AAjMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNQIMwAAwNSqO7sAAIA5bD1yqsz7RjXyKcdKAHuMzAAAAFMjzAAAAFNzaJhp2LChLBZLiWXEiBGSpEGDBpXY1r59e7tjFBQUaNSoUfL19ZWnp6d69+6t77//3pFlAwAAE3FomElPT1d2draxpKamSpL69u1rtOnevbtdm88++8zuGGPGjNGqVau0fPlyffXVVzp37px69uypoqIiR5YOAABMwqETgOvVq2f3+ZVXXtFdd92ljh07Guvc3NwUEBBQ6v55eXlauHCh3nvvPXXp0kWStHTpUgUHB2vdunWKjY11XPEAAMAUKmzOTGFhoZYuXarBgwfLYrEY6zdu3Cg/Pz81adJECQkJys3NNbbt2LFDly5dUrdu3Yx1QUFBCg8P15YtW655roKCAuXn59stAACgcqqwMPPRRx/pzJkzGjRokLEuLi5Oy5Yt0/r16/Xmm28qPT1dDz30kAoKCiRJOTk5cnV1Vd26de2O5e/vr5ycnGueKzk5WVar1ViCg4Md0icAAOB8FfacmYULFyouLk5BQUHGuieeeML4Ojw8XJGRkQoJCdGnn36qPn36XPNYNpvNbnTn15KSkpSYmGh8zs/PJ9AAAFBJVUiYOXbsmNatW6eVK1det11gYKBCQkJ08OBBSVJAQIAKCwt1+vRpu9GZ3NxcRUdHX/M4bm5ucnNzK5/iAQDAHa1CwkxKSor8/PzUo0eP67Y7deqUjh8/rsDAQElSu3btVKNGDaWmpqpfv36SpOzsbO3Zs0evvfaaw+sGYA6382RaAObn8DBTXFyslJQUxcfHq3r1/3+6c+fOaerUqXrssccUGBioo0ePatKkSfL19dWjjz4qSbJarRoyZIjGjRsnHx8feXt7a/z48YqIiDDubgIAAFWbw8PMunXrlJWVpcGDB9utd3Fx0e7du7VkyRKdOXNGgYGBiomJ0YoVK+Tl5WW0mzlzpqpXr65+/frpwoUL6ty5sxYtWiQXFxdHlw4AAEzAYrPZbM4uwtHy8/NltVqVl5en2rVrO7scAOVs68Lxzi4BN3BbL5qMSSq/QmAqN/v7m7dmAwDubBuSy74vQahKIMwAuDPczi8sAFUab80GAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmRpgBAACmxosmAQAOt/XIqTLvG9XIpxwrQWXEyAwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA1wgwAADA13s0E4I5wO+/uAVC1MTIDAABMjTADAABMjTADAABMjTADAABMzaFhZurUqbJYLHZLQECAsd1ms2nq1KkKCgqSu7u7OnXqpG+//dbuGAUFBRo1apR8fX3l6emp3r176/vvv3dk2QAAwEQcPjLTsmVLZWdnG8vu3buNba+99preeustzZkzR+np6QoICFDXrl119uxZo82YMWO0atUqLV++XF999ZXOnTunnj17qqioyNGlAwAAE3D4rdnVq1e3G425ymazadasWZo8ebL69OkjSVq8eLH8/f31/vvv69lnn1VeXp4WLlyo9957T126dJEkLV26VMHBwVq3bp1iY2MdXT4AwMlu57b9qJhyLAR3LIePzBw8eFBBQUEKDQ1V//79deTIEUlSZmamcnJy1K1bN6Otm5ubOnbsqC1btkiSduzYoUuXLtm1CQoKUnh4uNGmNAUFBcrPz7dbAABA5eTQMHPfffdpyZIlWrNmjRYsWKCcnBxFR0fr1KlTysnJkST5+/vb7ePv729sy8nJkaurq+rWrXvNNqVJTk6W1Wo1luDg4HLuGQAAuFM4NMzExcXpscceU0REhLp06aJPP/1U0pXLSVdZLBa7fWw2W4l1v3ajNklJScrLyzOW48eP30YvAADAnaxCb8329PRURESEDh48aMyj+fUIS25urjFaExAQoMLCQp0+ffqabUrj5uam2rVr2y0AAKByqtAwU1BQoH379ikwMFChoaEKCAhQamqqsb2wsFBffPGFoqOjJUnt2rVTjRo17NpkZ2drz549RhsAAFC1OfRupvHjx6tXr15q0KCBcnNz9ec//1n5+fmKj4+XxWLRmDFjNGPGDIWFhSksLEwzZsyQh4eHBgwYIEmyWq0aMmSIxo0bJx8fH3l7e2v8+PHGZSsAAACHhpnvv/9ev/vd7/Tjjz+qXr16at++vdLS0hQSEiJJmjBhgi5cuKDhw4fr9OnTuu+++7R27Vp5eXkZx5g5c6aqV6+ufv366cKFC+rcubMWLVokFxcXR5YOAABMwmKz2WzOLsLR8vPzZbValZeXx/wZ4A61deF4Z5eASihqyBvOLgG34WZ/fzv8oXkAADjNhuSy7xuTVH51wKF40SQAADA1wgwAADA1LjMBKD+3M6QPAGXEyAwAADA1wgwAADA1wgwAADA15swAKDdbj5xydgkAqiBGZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKnxokkAQKV1Oy8/jYopx0LgUIzMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAU3Pou5mSk5O1cuVKfffdd3J3d1d0dLReffVVNW3a1GgzaNAgLV682G6/++67T2lpacbngoICjR8/Xh988IEuXLigzp07a+7cuapfv74jyweqpJmpB8q8b/tyrAMAbpZDR2a++OILjRgxQmlpaUpNTdXly5fVrVs3nT9/3q5d9+7dlZ2dbSyfffaZ3fYxY8Zo1apVWr58ub766iudO3dOPXv2VFFRkSPLBwAAJuDQkZnVq1fbfU5JSZGfn5927NihBx980Fjv5uamgICAUo+Rl5enhQsX6r333lOXLl0kSUuXLlVwcLDWrVun2NjYEvsUFBSooKDA+Jyfn18e3QEAAHegCp0zk5eXJ0ny9va2W79x40b5+fmpSZMmSkhIUG5urrFtx44dunTpkrp162asCwoKUnh4uLZs2VLqeZKTk2W1Wo0lODjYAb0BAAB3AoeOzPySzWZTYmKi7r//foWHhxvr4+Li1LdvX4WEhCgzM1NTpkzRQw89pB07dsjNzU05OTlydXVV3bp17Y7n7++vnJycUs+VlJSkxMRE43N+fj6BBgBwazYkl33fmKTyqwM3VGFhZuTIkfrmm2/01Vdf2a1/4oknjK/Dw8MVGRmpkJAQffrpp+rTp881j2ez2WSxWErd5ubmJjc3t/IpHAAA3NEq5DLTqFGj9PHHH2vDhg03vAMpMDBQISEhOnjwoCQpICBAhYWFOn36tF273Nxc+fv7O6xmAABgDg4NMzabTSNHjtTKlSu1fv16hYaG3nCfU6dO6fjx4woMDJQktWvXTjVq1FBqaqrRJjs7W3v27FF0dLTDagcAAObg0MtMI0aM0Pvvv69//etf8vLyMua4WK1Wubu769y5c5o6daoee+wxBQYG6ujRo5o0aZJ8fX316KOPGm2HDBmicePGycfHR97e3ho/frwiIiKMu5sAAEDV5dAwM2/ePElSp06d7NanpKRo0KBBcnFx0e7du7VkyRKdOXNGgYGBiomJ0YoVK+Tl5WW0nzlzpqpXr65+/foZD81btGiRXFxcHFk+AAAwAYeGGZvNdt3t7u7uWrNmzQ2PU7NmTc2ePVuzZ88ur9IAAEAlwbuZAACAqRFmAACAqVXYc2YAADCTrUdOlXnfqJhyLAQ3RJgBYKd91nxnlwAAt4TLTAAAwNQIMwAAwNS4zARUQjNTD5R53/blWAcAVARGZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKkRZgAAgKnxnBkAAMrZ7TzraWzXJuVYSdVAmAEAoJzd3jvO3ii3OqoKLjMBAABTI8wAAABTI8wAAABTY84McIe6nQmEAFCVMDIDAABMjTADAABMjctMAADcQXhGza1jZAYAAJgaIzOAAzGJFwAcj5EZAABgaoQZAABgaoQZAABgaoQZAABgakwABgCgkqiqt3UTZoAb4I4kABWpfdb8Mu+b1uCZcqzEPEwTZubOnavXX39d2dnZatmypWbNmqUHHnjA2WUBAFApmHlUxxRhZsWKFRozZozmzp2rDh066N1331VcXJz27t2rBg0aOLs84I5zO/+zAwCzMUWYeeuttzRkyBA9/fTTkqRZs2ZpzZo1mjdvnpKTk0u0LygoUEFBgfE5Pz+/wmrFnYlLRQBQed3xYaawsFA7duzQ888/b7e+W7du2rJlS6n7JCcna9q0aRVRnnltKBkCK7Oxd/yf9HI25A1nVwDACaKc9m97kpPOe8Udf2v2jz/+qKKiIvn7+9ut9/f3V05OTqn7JCUlKS8vz1iOHz9eEaUCAAAnMM3/Vy0Wi91nm81WYt1Vbm5ucnNzq4iyAACAk93xIzO+vr5ycXEpMQqTm5tbYrQGAABUPXf8yIyrq6vatWun1NRUPfroo8b61NRUPfzww06sDACAO0zMbcxdMfFcyjs+zEhSYmKiBg4cqMjISEVFRWn+/PnKysrS0KFDnV0aAABwMlOEmSeeeEKnTp3S9OnTlZ2drfDwcH322WcKCQlxdmkAAMDJTBFmJGn48OEaPny4s8sAAAB3mDt+AjAAAMD1mGZkBgAAONDtTB52MkZmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqRFmAACAqfE6g6rqdh5bvSG5/OoAAOA2EWaAO5WJ35MCABWJy0wAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUqju7AKBSi0lydgUAUOkxMgMAAEzNYWHm6NGjGjJkiEJDQ+Xu7q677rpLL774ogoLC+3aWSyWEss777xj12b37t3q2LGj3N3d9Zvf/EbTp0+XzWZzVOkAAMBEHHaZ6bvvvlNxcbHeffddNW7cWHv27FFCQoLOnz+vN954w65tSkqKunfvbny2Wq3G1/n5+eratatiYmKUnp6uAwcOaNCgQfL09NS4ceMcVT4AADAJh4WZ7t272wWURo0aaf/+/Zo3b16JMFOnTh0FBASUepxly5bp4sWLWrRokdzc3BQeHq4DBw7orbfeUmJioiwWi6O6AAAATKBC58zk5eXJ29u7xPqRI0fK19dX99xzj9555x0VFxcb27Zu3aqOHTvKzc3NWBcbG6sTJ07o6NGjpZ6noKBA+fn5dgsAAKicKizMHD58WLNnz9bQoUPt1r/00kv6P//n/2jdunXq37+/xo0bpxkzZhjbc3Jy5O/vb7fP1c85OTmlnis5OVlWq9VYgoODy7k3AADgTnHLYWbq1KmlTtr95bJ9+3a7fU6cOKHu3burb9++evrpp+22/elPf1JUVJRat26tcePGafr06Xr99dft2vz6UtLVyb/XusSUlJSkvLw8Yzl+/PitdhMAAJjELc+ZGTlypPr373/dNg0bNjS+PnHihGJiYhQVFaX58+ff8Pjt27dXfn6+Tp48KX9/fwUEBJQYgcnNzZWkEiM2V7m5udldlgIAAJXXLYcZX19f+fr63lTb//3vf4qJiVG7du2UkpKiatVuPBC0a9cu1axZU3Xq1JEkRUVFadKkSSosLJSrq6skae3atQoKCrILTQAAoGpy2JyZEydOqFOnTgoODtYbb7yhH374QTk5OXajLP/+97+1YMEC7dmzR4cPH9bf/vY3TZ48Wc8884wxsjJgwAC5ublp0KBB2rNnj1atWqUZM2ZwJxMAAJDkwFuz165dq0OHDunQoUOqX7++3barc15q1KihuXPnKjExUcXFxWrUqJGmT5+uESNGGG2tVqtSU1M1YsQIRUZGqm7dukpMTFRiYqKjSgcAACZisVWBR+nm5+fLarUqLy9PtWvXdnY55rch2dkVmAfvZgKAMrvZ39+8aBK4EQIJANzReNEkAAAwNcIMAAAwNcIMAAAwNcIMAAAwNSYAo2pgEi8AVFqMzAAAAFMjzAAAAFMjzAAAAFNjzgzMg3kvAIBSMDIDAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjTADAABMjYfmoWLx4DsAQDljZAYAAJgaIzO4dYyuAADuIIzMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAU3NomGnYsKEsFovd8vzzz9u1ycrKUq9eveTp6SlfX1+NHj1ahYWFdm12796tjh07yt3dXb/5zW80ffp02Ww2R5YOAABMwuHvZpo+fboSEhKMz7Vq1TK+LioqUo8ePVSvXj199dVXOnXqlOLj42Wz2TR79mxJUn5+vrp27aqYmBilp6frwIEDGjRokDw9PTVu3DhHlw8AAO5wDg8zXl5eCggIKHXb2rVrtXfvXh0/flxBQUGSpDfffFODBg3Syy+/rNq1a2vZsmW6ePGiFi1aJDc3N4WHh+vAgQN66623lJiYKIvF4uguAACAO5jD58y8+uqr8vHxUevWrfXyyy/bXULaunWrwsPDjSAjSbGxsSooKNCOHTuMNh07dpSbm5tdmxMnTujo0aOlnrOgoED5+fl2CwAAqJwcOjLz3HPPqW3btqpbt662bdumpKQkZWZm6m9/+5skKScnR/7+/nb71K1bV66ursrJyTHaNGzY0K7N1X1ycnIUGhpa4rzJycmaNm2aA3oEAADuNLccZqZOnXrDoJCenq7IyEiNHTvWWHf33Xerbt26evzxx43RGkmlXiay2Wx263/d5urk32tdYkpKSlJiYqLxOS8vTw0aNGCEBgAAE7n6e/tGN/3ccpgZOXKk+vfvf902vx5Juap9+/aSpEOHDsnHx0cBAQH6+uuv7dqcPn1aly5dMkZfAgICjFGaq3JzcyWpxKjOVW5ubnaXpa5+M4KDg69bNwAAuPOcPXtWVqv1mttvOcz4+vrK19e3TMXs2rVLkhQYGChJioqK0ssvv6zs7Gxj3dq1a+Xm5qZ27doZbSZNmqTCwkK5uroabYKCgq4Zmn4tKChIx48fl5eXV7lPGM7Pz1dwcLCOHz+u2rVrl+ux7wT0z/wqex/pn/lV9j7Sv7Kz2Ww6e/as3dza0jhszszWrVuVlpammJgYWa1Wpaena+zYserdu7caNGggSerWrZtatGihgQMH6vXXX9dPP/2k8ePHKyEhwfiGDBgwQNOmTdOgQYM0adIkHTx4UDNmzNALL7xw08GkWrVqql+/vqO6KkmqXbt2pfxDehX9M7/K3kf6Z36VvY/0r2yuNyJzlcPCjJubm1asWKFp06apoKBAISEhSkhI0IQJE4w2Li4u+vTTTzV8+HB16NBB7u7uGjBggN544w2jjdVqVWpqqkaMGKHIyEjVrVtXiYmJdnNiAABA1eWwMNO2bVulpaXdsF2DBg30ySefXLdNRESENm3aVF6lAQCASoR3M90mNzc3vfjii3YTjisT+md+lb2P9M/8Knsf6Z/jWWy85AgAAJgYIzMAAMDUCDMAAMDUCDMAAMDUCDMAAMDUCDPl6OWXX1Z0dLQ8PDxUp04dZ5dz2+bOnavQ0FDVrFlT7dq105dffunsksrNpk2b1KtXLwUFBcliseijjz5ydknlKjk5Wffcc4+8vLzk5+enRx55RPv373d2WeVq3rx5uvvuu40HdUVFRenzzz93dlkOk5ycLIvFojFjxji7lHIxdepUWSwWuyUgIMDZZZW7//3vf/rDH/4gHx8feXh4qHXr1tqxY4ezyyoXDRs2LPEztFgsGjFiRIXXQpgpR4WFherbt6+GDRvm7FJu24oVKzRmzBhNnjxZu3bt0gMPPKC4uDhlZWU5u7Rycf78ebVq1Upz5sxxdikO8cUXX2jEiBFKS0tTamqqLl++rG7duun8+fPOLq3c1K9fX6+88oq2b9+u7du366GHHtLDDz+sb7/91tmllbv09HTNnz9fd999t7NLKVctW7ZUdna2sezevdvZJZWr06dPq0OHDqpRo4Y+//xz7d27V2+++Wal+M+udOXP5S9/fqmpqZKkvn37VnwxNpS7lJQUm9VqdXYZt+Xee++1DR061G5ds2bNbM8//7yTKnIcSbZVq1Y5uwyHys3NtUmyffHFF84uxaHq1q1r+9vf/ubsMsrV2bNnbWFhYbbU1FRbx44dbc8995yzSyoXL774oq1Vq1bOLsOhJk6caLv//vudXUaFee6552x33XWXrbi4uMLPzcgMSigsLNSOHTvUrVs3u/XdunXTli1bnFQVbkdeXp4kydvb28mVOEZRUZGWL1+u8+fPKyoqytnllKsRI0aoR48e6tKli7NLKXcHDx5UUFCQQkND1b9/fx05csTZJZWrjz/+WJGRkerbt6/8/PzUpk0bLViwwNllOURhYaGWLl2qwYMHl/sLnW8GYQYl/PjjjyoqKpK/v7/den9/f+Xk5DipKpSVzWZTYmKi7r//foWHhzu7nHK1e/du1apVS25ubho6dKhWrVqlFi1aOLuscrN8+XLt3LlTycnJzi6l3N13331asmSJ1qxZowULFignJ0fR0dE6deqUs0srN0eOHNG8efMUFhamNWvWaOjQoRo9erSWLFni7NLK3UcffaQzZ85o0KBBTjk/YeYGSpuk9utl+/btzi7TIX6drm02m1MSN27PyJEj9c033+iDDz5wdinlrmnTpsrIyFBaWpqGDRum+Ph47d2719lllYvjx4/rueee09KlS1WzZk1nl1Pu4uLi9NhjjykiIkJdunTRp59+KklavHixkysrP8XFxWrbtq1mzJihNm3a6Nlnn1VCQoLmzZvn7NLK3cKFCxUXF6egoCCnnN9hL5qsLEaOHKn+/ftft03Dhg0rppgK4uvrKxcXlxKjMLm5uSVGa3BnGzVqlD7++GNt2rRJ9evXd3Y55c7V1VWNGzeWJEVGRio9PV1vv/223n33XSdXdvt27Nih3NxctWvXzlhXVFSkTZs2ac6cOSooKJCLi4sTKyxfnp6eioiI0MGDB51dSrkJDAwsMVLYvHlz/fOf/3RSRY5x7NgxrVu3TitXrnRaDYSZG/D19ZWvr6+zy6hQrq6uateunVJTU/Xoo48a61NTU/Xwww87sTLcLJvNplGjRmnVqlXauHGjQkNDnV1ShbDZbCooKHB2GeWic+fOJe7ueeqpp9SsWTNNnDixUgUZSSooKNC+ffv0wAMPOLuUctOhQ4cSj0Q4cOCAQkJCnFSRY6SkpMjPz089evRwWg2EmXKUlZWln376SVlZWSoqKlJGRoYkqXHjxqpVq5Zzi7tFiYmJGjhwoCIjIxUVFaX58+crKytLQ4cOdXZp5eLcuXM6dOiQ8TkzM1MZGRny9vZWgwYNnFhZ+RgxYoTef/99/etf/5KXl5cxyma1WuXu7u7k6srHpEmTFBcXp+DgYJ09e1bLly/Xxo0btXr1ameXVi68vLxKzHHy9PSUj49PpZj7NH78ePXq1UsNGjRQbm6u/vznPys/P1/x8fHOLq3cjB07VtHR0ZoxY4b69eunbdu2af78+Zo/f76zSys3xcXFSklJUXx8vKpXd2KkqPD7pyqx+Ph4m6QSy4YNG5xdWpn89a9/tYWEhNhcXV1tbdu2rVS39W7YsKHUn1V8fLyzSysXpfVNki0lJcXZpZWbwYMHG38+69WrZ+vcubNt7dq1zi7LoSrTrdlPPPGELTAw0FajRg1bUFCQrU+fPrZvv/3W2WWVu3//+9+28PBwm5ubm61Zs2a2+fPnO7ukcrVmzRqbJNv+/fudWofFZrPZKjxBAQAAlBPuZgIAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAEAAKZGmAHgVJ06ddKoUaM0ZswY1a1bV/7+/po/f77Onz+vp556Sl5eXrrrrrv0+eefS5KKioo0ZMgQhYaGyt3dXU2bNtXbb79td8yNGzfq3nvvlaenp+rUqaMOHTro2LFjkqT//ve/iomJkZeXl2rXrq127dpp+/btFd5vAOWHMAPA6RYvXixfX19t27ZNo0aN0rBhw9S3b19FR0dr586dio2N1cCBA/Xzzz+ruLhY9evX1z/+8Q/t3btXL7zwgiZNmqR//OMfkqTLly/rkUceUceOHfXNN99o69ateuaZZ2SxWCRJv//971W/fn2lp6drx44dev7551WjRg1ndh/AbeKt2QCcqlOnTioqKtKXX34p6crIi9VqVZ8+fbRkyRJJUk5OjgIDA7V161a1b9++xDFGjBihkydP6sMPP9RPP/0kHx8fbdy4UR07dizRtnbt2po9e7bi4+Md2zEAFYaRGQBOd/fddxtfu7i4yMfHRxEREcY6f39/SVJubq4k6Z133lFkZKTq1aunWrVqacGCBcrKypIkeXt7a9CgQYqNjVWvXr309ttvKzs72zhWYmKinn76aXXp0kWvvPKKDh8+XBFdBOBAhBkATvfryzwWi8Vu3dVLRMXFxfrHP/6hsWPHavDgwVq7dq0yMjL01FNPqbCw0GifkpKirVu3Kjo6WitWrFCTJk2UlpYmSZo6daq+/fZb9ejRQ+vXr1eLFi20atWqCuglAEchzAAwlS+//FLR0dEaPny42rRpo8aNG5c6utKmTRslJSVpy5YtCg8P1/vvv29sa9KkicaOHau1a9eqT58+SklJqcguAChnhBkAptK4cWNt375da9as0YEDBzRlyhSlp6cb2zMzM5WUlKStW7fq2LFjWrt2rQ4cOKDmzZvrwoULGjlypDZu3Khjx45p8+bNSk9PV/PmzZ3YIwC3q7qzCwCAWzF06FBlZGToiSeekMVi0e9+9zsNHz7cuHXbw8ND3333nRYvXqxTp04pMDBQI0eO1LPPPqvLly/r1KlTevLJJ3Xy5En5+vqqT58+mjZtmpN7BeB2cDcTAAAwNS4zAQAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAUyPMAAAAU/u/JJIDM7WAYiEAAAAASUVORK5CYII=", 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", 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" ] diff --git a/advanced-python/70ScikitHEPUniverse.ipynb b/advanced-python/70ScikitHEPUniverse.ipynb index 2b9ef4a6..e94a7894 100644 --- a/advanced-python/70ScikitHEPUniverse.ipynb +++ b/advanced-python/70ScikitHEPUniverse.ipynb @@ -30,10 +30,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.384255Z", - "iopub.status.busy": "2024-03-13T13:47:13.383870Z", - "iopub.status.idle": "2024-03-13T13:47:13.703383Z", - "shell.execute_reply": "2024-03-13T13:47:13.702891Z" + "iopub.execute_input": "2024-04-04T17:24:18.060574Z", + "iopub.status.busy": "2024-04-04T17:24:18.060405Z", + "iopub.status.idle": "2024-04-04T17:24:18.392417Z", + "shell.execute_reply": "2024-04-04T17:24:18.391800Z" } }, "outputs": [ @@ -60,10 +60,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.705638Z", - "iopub.status.busy": "2024-03-13T13:47:13.705074Z", - "iopub.status.idle": "2024-03-13T13:47:13.708969Z", - "shell.execute_reply": "2024-03-13T13:47:13.708577Z" + "iopub.execute_input": "2024-04-04T17:24:18.394532Z", + "iopub.status.busy": "2024-04-04T17:24:18.394136Z", + "iopub.status.idle": "2024-04-04T17:24:18.398171Z", + "shell.execute_reply": "2024-04-04T17:24:18.397692Z" } }, "outputs": [ @@ -87,10 +87,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.710806Z", - "iopub.status.busy": "2024-03-13T13:47:13.710440Z", - "iopub.status.idle": "2024-03-13T13:47:13.713911Z", - "shell.execute_reply": "2024-03-13T13:47:13.713522Z" + "iopub.execute_input": "2024-04-04T17:24:18.400311Z", + "iopub.status.busy": "2024-04-04T17:24:18.399904Z", + "iopub.status.idle": "2024-04-04T17:24:18.403714Z", + "shell.execute_reply": "2024-04-04T17:24:18.403242Z" } }, "outputs": [ @@ -123,10 +123,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.715700Z", - "iopub.status.busy": "2024-03-13T13:47:13.715387Z", - "iopub.status.idle": "2024-03-13T13:47:13.824056Z", - "shell.execute_reply": "2024-03-13T13:47:13.823683Z" + "iopub.execute_input": "2024-04-04T17:24:18.405522Z", + "iopub.status.busy": "2024-04-04T17:24:18.405354Z", + "iopub.status.idle": "2024-04-04T17:24:18.518529Z", + "shell.execute_reply": "2024-04-04T17:24:18.517963Z" } }, "outputs": [], @@ -150,10 +150,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.825820Z", - "iopub.status.busy": "2024-03-13T13:47:13.825632Z", - "iopub.status.idle": "2024-03-13T13:47:13.828717Z", - "shell.execute_reply": "2024-03-13T13:47:13.828287Z" + "iopub.execute_input": "2024-04-04T17:24:18.521055Z", + "iopub.status.busy": "2024-04-04T17:24:18.520816Z", + "iopub.status.idle": "2024-04-04T17:24:18.524381Z", + "shell.execute_reply": "2024-04-04T17:24:18.523885Z" } }, "outputs": [ @@ -177,10 +177,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.830278Z", - "iopub.status.busy": "2024-03-13T13:47:13.830133Z", - "iopub.status.idle": "2024-03-13T13:47:13.833076Z", - "shell.execute_reply": "2024-03-13T13:47:13.832678Z" + "iopub.execute_input": "2024-04-04T17:24:18.526610Z", + "iopub.status.busy": "2024-04-04T17:24:18.526277Z", + "iopub.status.idle": "2024-04-04T17:24:18.529721Z", + "shell.execute_reply": "2024-04-04T17:24:18.529274Z" } }, "outputs": [ @@ -204,10 +204,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.834624Z", - "iopub.status.busy": "2024-03-13T13:47:13.834473Z", - "iopub.status.idle": "2024-03-13T13:47:13.837438Z", - "shell.execute_reply": "2024-03-13T13:47:13.837034Z" + "iopub.execute_input": "2024-04-04T17:24:18.531751Z", + "iopub.status.busy": "2024-04-04T17:24:18.531463Z", + "iopub.status.idle": "2024-04-04T17:24:18.534914Z", + "shell.execute_reply": "2024-04-04T17:24:18.534458Z" } }, "outputs": [ @@ -231,10 +231,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.839027Z", - "iopub.status.busy": "2024-03-13T13:47:13.838877Z", - "iopub.status.idle": "2024-03-13T13:47:13.841956Z", - "shell.execute_reply": "2024-03-13T13:47:13.841479Z" + "iopub.execute_input": "2024-04-04T17:24:18.536870Z", + "iopub.status.busy": "2024-04-04T17:24:18.536552Z", + "iopub.status.idle": "2024-04-04T17:24:18.539882Z", + "shell.execute_reply": "2024-04-04T17:24:18.539447Z" } }, "outputs": [ @@ -266,10 +266,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.843734Z", - "iopub.status.busy": "2024-03-13T13:47:13.843511Z", - "iopub.status.idle": "2024-03-13T13:47:13.874308Z", - "shell.execute_reply": "2024-03-13T13:47:13.873856Z" + "iopub.execute_input": "2024-04-04T17:24:18.541676Z", + "iopub.status.busy": "2024-04-04T17:24:18.541507Z", + "iopub.status.idle": "2024-04-04T17:24:18.571666Z", + "shell.execute_reply": "2024-04-04T17:24:18.571201Z" } }, "outputs": [ @@ -338,10 +338,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.875989Z", - "iopub.status.busy": "2024-03-13T13:47:13.875829Z", - "iopub.status.idle": "2024-03-13T13:47:13.878803Z", - "shell.execute_reply": "2024-03-13T13:47:13.878401Z" + "iopub.execute_input": "2024-04-04T17:24:18.573661Z", + "iopub.status.busy": "2024-04-04T17:24:18.573457Z", + "iopub.status.idle": "2024-04-04T17:24:18.576949Z", + "shell.execute_reply": "2024-04-04T17:24:18.576549Z" } }, "outputs": [ @@ -367,10 +367,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.880452Z", - "iopub.status.busy": "2024-03-13T13:47:13.880270Z", - "iopub.status.idle": "2024-03-13T13:47:13.882527Z", - "shell.execute_reply": "2024-03-13T13:47:13.882147Z" + "iopub.execute_input": "2024-04-04T17:24:18.578782Z", + "iopub.status.busy": "2024-04-04T17:24:18.578471Z", + "iopub.status.idle": "2024-04-04T17:24:18.580940Z", + "shell.execute_reply": "2024-04-04T17:24:18.580475Z" } }, "outputs": [], @@ -383,10 +383,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.884067Z", - "iopub.status.busy": "2024-03-13T13:47:13.883915Z", - "iopub.status.idle": "2024-03-13T13:47:13.887111Z", - "shell.execute_reply": "2024-03-13T13:47:13.886738Z" + "iopub.execute_input": "2024-04-04T17:24:18.582802Z", + "iopub.status.busy": "2024-04-04T17:24:18.582478Z", + "iopub.status.idle": "2024-04-04T17:24:18.585881Z", + "shell.execute_reply": "2024-04-04T17:24:18.585418Z" } }, "outputs": [ @@ -424,10 +424,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.888866Z", - "iopub.status.busy": "2024-03-13T13:47:13.888525Z", - "iopub.status.idle": "2024-03-13T13:47:13.957959Z", - "shell.execute_reply": "2024-03-13T13:47:13.957445Z" + "iopub.execute_input": "2024-04-04T17:24:18.587767Z", + "iopub.status.busy": "2024-04-04T17:24:18.587446Z", + "iopub.status.idle": "2024-04-04T17:24:18.661069Z", + "shell.execute_reply": "2024-04-04T17:24:18.660535Z" } }, "outputs": [], @@ -440,10 +440,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.959961Z", - "iopub.status.busy": "2024-03-13T13:47:13.959761Z", - "iopub.status.idle": "2024-03-13T13:47:13.966324Z", - "shell.execute_reply": "2024-03-13T13:47:13.965843Z" + "iopub.execute_input": "2024-04-04T17:24:18.663553Z", + "iopub.status.busy": "2024-04-04T17:24:18.663088Z", + "iopub.status.idle": "2024-04-04T17:24:18.669646Z", + "shell.execute_reply": "2024-04-04T17:24:18.669263Z" }, "pycharm": { "name": "#%%\n" @@ -502,10 +502,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.968150Z", - "iopub.status.busy": "2024-03-13T13:47:13.967848Z", - "iopub.status.idle": "2024-03-13T13:47:13.978611Z", - "shell.execute_reply": "2024-03-13T13:47:13.978160Z" + "iopub.execute_input": "2024-04-04T17:24:18.671557Z", + "iopub.status.busy": "2024-04-04T17:24:18.671233Z", + "iopub.status.idle": "2024-04-04T17:24:18.682743Z", + "shell.execute_reply": "2024-04-04T17:24:18.682333Z" } }, "outputs": [ @@ -530,10 +530,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2024-03-13T13:47:13.981110Z", - "iopub.status.busy": "2024-03-13T13:47:13.980774Z", - "iopub.status.idle": "2024-03-13T13:47:13.984275Z", - "shell.execute_reply": "2024-03-13T13:47:13.983884Z" + "iopub.execute_input": "2024-04-04T17:24:18.684793Z", + "iopub.status.busy": "2024-04-04T17:24:18.684474Z", + "iopub.status.idle": "2024-04-04T17:24:18.688222Z", + "shell.execute_reply": "2024-04-04T17:24:18.687754Z" } }, "outputs": [ diff --git a/git/11-ci.html b/git/11-ci.html index b2196da7..92d68bfd 100644 --- a/git/11-ci.html +++ b/git/11-ci.html @@ -505,7 +505,7 @@

GitLab CI
my_first_job:
-    image: gitlab-registry.cern.ch/ci-tools/ci-worker:cc7
+    image: gitlab-registry.cern.ch/linuxsupport/alma9-base
     script:
         - python -c 'import this'
         - echo "My first CI produced file" > output.txt
@@ -515,7 +515,8 @@ 
GitLab CImy_first_job and the image: key defines a
 docker image
 which is used the define the environment that is used to run the job. In this case we use an
-official CERN CentOS 7 image.
+official CERN AlmaLinux 9 image.
+More images are listed at the documentation pages for linux at CERN.
 The script: key then defines one or more commands which are executed
 sequentially. If any of the command return a non-zero exit code the execution
 stops and the “build” is marked as failed.

diff --git a/python/01basics.ipynb b/python/01basics.ipynb
index d023bc43..b04de7dd 100644
--- a/python/01basics.ipynb
+++ b/python/01basics.ipynb
@@ -55,10 +55,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.858273Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.858114Z",
-     "iopub.status.idle": "2024-03-13T13:47:15.864974Z",
-     "shell.execute_reply": "2024-03-13T13:47:15.864520Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.846050Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.845890Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.850615Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.850245Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -74,10 +74,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.866686Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.866403Z",
-     "iopub.status.idle": "2024-03-13T13:47:15.868934Z",
-     "shell.execute_reply": "2024-03-13T13:47:15.868505Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.852259Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.852102Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.854938Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.854557Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -148,10 +148,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.870830Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.870474Z",
-     "iopub.status.idle": "2024-03-13T13:47:15.873306Z",
-     "shell.execute_reply": "2024-03-13T13:47:15.872856Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.856562Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.856408Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.859019Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.858662Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -180,10 +180,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.875081Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.874703Z",
-     "iopub.status.idle": "2024-03-13T13:47:15.879364Z",
-     "shell.execute_reply": "2024-03-13T13:47:15.878929Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.860729Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.860422Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.864997Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.864602Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -234,10 +234,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.881174Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.880881Z",
-     "iopub.status.idle": "2024-03-13T13:47:15.883027Z",
-     "shell.execute_reply": "2024-03-13T13:47:15.882649Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.866758Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.866459Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.868826Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.868349Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -254,10 +254,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.884766Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.884476Z",
-     "iopub.status.idle": "2024-03-13T13:47:15.887505Z",
-     "shell.execute_reply": "2024-03-13T13:47:15.887065Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.870530Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.870175Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.873287Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.872841Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -295,10 +295,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:15.889328Z",
-     "iopub.status.busy": "2024-03-13T13:47:15.888978Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.007832Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.007367Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.875104Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.874741Z",
+     "iopub.status.idle": "2024-04-04T17:24:20.997326Z",
+     "shell.execute_reply": "2024-04-04T17:24:20.996902Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -340,10 +340,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.009721Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.009436Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.018627Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.018173Z"
+     "iopub.execute_input": "2024-04-04T17:24:20.999523Z",
+     "iopub.status.busy": "2024-04-04T17:24:20.999093Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.009487Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.009111Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -385,10 +385,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.020249Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.020106Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.023150Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.022700Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.011459Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.011085Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.014360Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.013953Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -428,10 +428,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.024860Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.024715Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.027172Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.026735Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.016166Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.015834Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.018529Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.018123Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -456,10 +456,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.028759Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.028615Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.031127Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.030752Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.020168Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.020028Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.022658Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.022284Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -495,10 +495,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.032901Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.032625Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.034946Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.034496Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.024255Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.024107Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.026222Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.025862Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -525,10 +525,10 @@
    "execution_count": 13,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.036796Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.036474Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.039548Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.039165Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.028212Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.027764Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.030932Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.030585Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -587,10 +587,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.041381Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.041019Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.043456Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.043045Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.032582Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.032441Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.035128Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.034738Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -627,10 +627,10 @@
    "execution_count": 15,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.045283Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.044985Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.048077Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.047687Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.036947Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.036578Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.039870Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.039412Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -668,10 +668,10 @@
    "execution_count": 16,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.049670Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.049528Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.051945Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.051513Z"
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@@ -707,10 +707,10 @@
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@@ -748,10 +748,10 @@
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@@ -793,10 +793,10 @@
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@@ -821,10 +821,10 @@
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@@ -863,10 +863,10 @@
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@@ -893,10 +893,10 @@
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@@ -934,10 +934,10 @@
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@@ -979,10 +979,10 @@
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@@ -1031,10 +1031,10 @@
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@@ -1053,10 +1053,10 @@
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@@ -1089,10 +1089,10 @@
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@@ -1116,10 +1116,10 @@
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@@ -1174,10 +1174,10 @@
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@@ -1193,10 +1193,10 @@
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@@ -1212,10 +1212,10 @@
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@@ -1255,10 +1255,10 @@
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@@ -1284,10 +1284,10 @@
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@@ -1323,10 +1323,10 @@
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@@ -1352,10 +1352,10 @@
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@@ -1405,10 +1405,10 @@
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@@ -1436,10 +1436,10 @@
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@@ -1468,10 +1468,10 @@
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@@ -1510,10 +1510,10 @@
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@@ -1541,10 +1541,10 @@
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@@ -1582,10 +1582,10 @@
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@@ -1601,10 +1601,10 @@
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     },
     "slideshow": {
      "slide_type": "subslide"
@@ -1648,10 +1648,10 @@
    "execution_count": 43,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.178011Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.177574Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.180404Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.179911Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.174294Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.174140Z",
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+     "shell.execute_reply": "2024-04-04T17:24:21.176428Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -1677,10 +1677,10 @@
    "execution_count": 44,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.182084Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.181794Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.184476Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.183984Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.178590Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.178436Z",
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+     "shell.execute_reply": "2024-04-04T17:24:21.180604Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -1716,10 +1716,10 @@
    "execution_count": 45,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.186337Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.185932Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.188655Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.188190Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.182692Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.182535Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.185257Z",
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     },
     "slideshow": {
      "slide_type": "subslide"
@@ -1780,10 +1780,10 @@
    "execution_count": 46,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.190488Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.190126Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.193115Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.192654Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.186924Z",
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     "slideshow": {
      "slide_type": "subslide"
@@ -1812,10 +1812,10 @@
    "execution_count": 47,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.194907Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.194625Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.198034Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.197651Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.191340Z",
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+     "shell.execute_reply": "2024-04-04T17:24:21.194064Z"
     }
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    "outputs": [
@@ -1840,10 +1840,10 @@
    "execution_count": 48,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.199867Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.199497Z",
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-     "shell.execute_reply": "2024-03-13T13:47:16.202138Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.196252Z",
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+     "shell.execute_reply": "2024-04-04T17:24:21.198946Z"
     }
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    "outputs": [
@@ -1878,10 +1878,10 @@
    "execution_count": 49,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.204365Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.204039Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.206682Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.206217Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.201370Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.200995Z",
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+     "shell.execute_reply": "2024-04-04T17:24:21.203447Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -1906,10 +1906,10 @@
    "execution_count": 50,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.208203Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.208063Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.210813Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.210429Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.205597Z",
+     "iopub.status.busy": "2024-04-04T17:24:21.205440Z",
+     "iopub.status.idle": "2024-04-04T17:24:21.208044Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.207567Z"
     },
     "slideshow": {
      "slide_type": "subslide"
@@ -2005,10 +2005,10 @@
    "execution_count": 51,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:16.212456Z",
-     "iopub.status.busy": "2024-03-13T13:47:16.212313Z",
-     "iopub.status.idle": "2024-03-13T13:47:16.214912Z",
-     "shell.execute_reply": "2024-03-13T13:47:16.214479Z"
+     "iopub.execute_input": "2024-04-04T17:24:21.209748Z",
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+     "iopub.status.idle": "2024-04-04T17:24:21.212533Z",
+     "shell.execute_reply": "2024-04-04T17:24:21.212137Z"
     },
     "slideshow": {
      "slide_type": "subslide"
diff --git a/python/classes.ipynb b/python/classes.ipynb
index d878884a..7f41e983 100644
--- a/python/classes.ipynb
+++ b/python/classes.ipynb
@@ -26,10 +26,10 @@
    "execution_count": 1,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.573937Z",
-     "iopub.status.busy": "2024-03-13T13:47:18.573776Z",
-     "iopub.status.idle": "2024-03-13T13:47:18.631901Z",
-     "shell.execute_reply": "2024-03-13T13:47:18.631445Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.653063Z",
+     "iopub.status.busy": "2024-04-04T17:24:23.652895Z",
+     "iopub.status.idle": "2024-04-04T17:24:23.716390Z",
+     "shell.execute_reply": "2024-04-04T17:24:23.715847Z"
     }
    },
    "outputs": [],
@@ -42,10 +42,10 @@
    "execution_count": 2,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.635248Z",
-     "iopub.status.busy": "2024-03-13T13:47:18.634385Z",
-     "iopub.status.idle": "2024-03-13T13:47:18.638579Z",
-     "shell.execute_reply": "2024-03-13T13:47:18.638162Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.719836Z",
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+     "iopub.status.idle": "2024-04-04T17:24:23.723303Z",
+     "shell.execute_reply": "2024-04-04T17:24:23.722862Z"
     }
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    "outputs": [],
@@ -66,10 +66,10 @@
    "execution_count": 3,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.641583Z",
-     "iopub.status.busy": "2024-03-13T13:47:18.640792Z",
-     "iopub.status.idle": "2024-03-13T13:47:18.648103Z",
-     "shell.execute_reply": "2024-03-13T13:47:18.647697Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.726470Z",
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+     "iopub.status.idle": "2024-04-04T17:24:23.733114Z",
+     "shell.execute_reply": "2024-04-04T17:24:23.732698Z"
     }
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    "outputs": [
@@ -100,10 +100,10 @@
    "execution_count": 4,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.651128Z",
-     "iopub.status.busy": "2024-03-13T13:47:18.650331Z",
-     "iopub.status.idle": "2024-03-13T13:47:18.654495Z",
-     "shell.execute_reply": "2024-03-13T13:47:18.654076Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.736251Z",
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+     "shell.execute_reply": "2024-04-04T17:24:23.739209Z"
     }
    },
    "outputs": [],
@@ -124,10 +124,10 @@
    "execution_count": 5,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.657828Z",
-     "iopub.status.busy": "2024-03-13T13:47:18.657017Z",
-     "iopub.status.idle": "2024-03-13T13:47:18.662216Z",
-     "shell.execute_reply": "2024-03-13T13:47:18.661804Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.742595Z",
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+     "shell.execute_reply": "2024-04-04T17:24:23.746562Z"
     }
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    "outputs": [
@@ -165,10 +165,10 @@
    "execution_count": 6,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.665311Z",
-     "iopub.status.busy": "2024-03-13T13:47:18.664505Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.667639Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.750091Z",
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+     "shell.execute_reply": "2024-04-04T17:24:23.752476Z"
     }
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    "outputs": [],
@@ -186,10 +186,10 @@
    "execution_count": 7,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.670983Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.674825Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.755815Z",
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    "outputs": [
@@ -220,10 +220,10 @@
    "execution_count": 8,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.678207Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.680682Z"
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    "outputs": [],
@@ -241,10 +241,10 @@
    "execution_count": 9,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.683987Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.688000Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.768987Z",
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+     "shell.execute_reply": "2024-04-04T17:24:23.772955Z"
     }
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    "outputs": [
@@ -276,10 +276,10 @@
    "execution_count": 10,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.691357Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.694262Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.775033Z",
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    "outputs": [],
@@ -308,10 +308,10 @@
    "execution_count": 11,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.696741Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.699330Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.779367Z",
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+     "shell.execute_reply": "2024-04-04T17:24:23.781494Z"
     }
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    "outputs": [
@@ -365,10 +365,10 @@
    "execution_count": 12,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.701665Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.704118Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.783490Z",
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+     "shell.execute_reply": "2024-04-04T17:24:23.785597Z"
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    "outputs": [],
@@ -399,10 +399,10 @@
    "execution_count": 13,
    "metadata": {
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-     "iopub.execute_input": "2024-03-13T13:47:18.706395Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.708251Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.787699Z",
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    "outputs": [],
@@ -418,10 +418,10 @@
    "execution_count": 14,
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2024-03-13T13:47:18.710487Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.713152Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.791195Z",
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    "outputs": [
@@ -459,10 +459,10 @@
    "execution_count": 15,
    "metadata": {
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-     "shell.execute_reply": "2024-03-13T13:47:18.717563Z"
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    "outputs": [
@@ -527,10 +527,10 @@
    "execution_count": 16,
    "metadata": {
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-     "shell.execute_reply": "2024-03-13T13:47:18.722721Z"
+     "iopub.execute_input": "2024-04-04T17:24:23.799261Z",
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    "outputs": [],
@@ -562,10 +562,10 @@
    "execution_count": 17,
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-     "iopub.execute_input": "2024-03-13T13:47:18.724825Z",
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-     "shell.execute_reply": "2024-03-13T13:47:18.727242Z"
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    "outputs": [],
@@ -600,10 +600,10 @@
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@@ -620,10 +620,10 @@
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@@ -639,10 +639,10 @@
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@@ -702,10 +702,10 @@
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diff --git a/searchindex.js b/searchindex.js
index fc232d42..b15d9845 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
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"link": [2, 23, 24, 25, 28, 32, 50, 55, 60], "indic": [2, 10, 23, 34, 38, 42, 49, 55, 56, 57], "were": [2, 6, 10, 14, 21, 22, 23, 24, 26, 27, 43, 57, 58, 59, 60, 62], "reason": [2, 12, 14, 18, 20, 23, 28, 42, 45, 49, 54, 59, 62], "manner": [2, 38], "endors": 2, "No": [2, 4, 6, 7, 12, 37, 43, 54, 55, 56, 58], "addit": [2, 5, 20, 23, 25, 26, 27, 32, 34, 38, 44, 46, 50, 54, 55, 56, 57, 58, 59, 61, 62], "restrict": [2, 6, 23, 29, 38, 42, 44, 60], "appli": [2, 5, 7, 10, 11, 13, 15, 16, 21, 29, 32, 35, 43, 51, 55, 58], "technolog": 2, "measur": [2, 6, 12, 13, 58, 61, 62], "anyth": [2, 4, 13, 20, 25, 26, 28, 31, 33, 38, 42, 43, 47, 48, 55, 56, 57, 58, 59, 62], "permit": 2, "notic": [2, 19, 20, 21, 22, 34, 44, 49, 54, 55, 56, 60, 62], "compli": 2, "element": [2, 4, 34, 42, 43, 44, 55, 56, 58], "domain": 2, "where": [2, 3, 5, 6, 7, 8, 10, 12, 14, 18, 19, 20, 21, 23, 25, 26, 27, 28, 34, 35, 36, 42, 43, 44, 45, 47, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "applic": [2, 3, 9, 12, 55], "except": [2, 5, 6, 13, 16, 22, 23, 25, 32, 44, 47, 55, 56, 57], "limit": [2, 10, 11, 13, 14, 17, 20, 25, 32, 55, 58, 60], "warranti": 2, "given": [2, 4, 8, 12, 13, 14, 20, 21, 22, 25, 26, 28, 36, 42, 43, 44, 45, 54, 55, 56, 57, 58, 59, 60, 62], "permiss": [2, 6, 24, 25, 29, 51, 52, 54, 55, 60], "necessari": [2, 26, 42, 44, 55, 61], "intend": [2, 31, 47], "For": [2, 4, 5, 6, 7, 9, 10, 12, 13, 17, 18, 20, 22, 24, 28, 32, 34, 36, 37, 39, 42, 43, 44, 45, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "privaci": 2, "moral": 2, "how": [2, 3, 4, 6, 7, 8, 10, 13, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 33, 35, 38, 41, 42, 43, 44, 45, 46, 48, 49, 54, 55, 56, 58, 59, 60, 61, 62], "note": [2, 3, 4, 6, 13, 18, 19, 20, 23, 24, 25, 26, 32, 37, 38, 42, 43, 44, 47, 51, 53, 55, 56, 57, 58, 59, 60, 61, 62], "program": [2, 4, 18, 20, 22, 28, 32, 33, 35, 36, 38, 41, 44, 46, 47, 48, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61], "carpentri": [2, 17, 18, 19, 20, 21, 22, 23, 24, 26, 28, 29, 30, 50, 55, 56, 57, 58, 59, 60, 61], "osi": 2, "approv": [2, 29], "mit": 2, "herebi": [2, 25, 36], "grant": [2, 29], "charg": [2, 15, 31], "obtain": [2, 6, 9, 11, 12, 13, 14, 16, 28, 33, 48, 51, 60], "deal": [2, 11, 17, 46, 57], "without": [2, 3, 5, 6, 9, 10, 11, 12, 14, 15, 20, 21, 22, 23, 24, 25, 26, 27, 29, 33, 36, 39, 42, 44, 45, 48, 49, 51, 55, 56, 57, 58, 59, 60, 62], "modifi": [2, 20, 21, 22, 25, 26, 27, 28, 31, 33, 39, 42, 44, 48, 49, 54, 58, 59, 60, 62], "distribut": [2, 7, 10, 13, 16, 17, 25, 28, 29, 31, 32, 39, 40, 44, 47, 62], "sublicens": 2, "sell": 2, "whom": 2, "furnish": 2, "subject": [2, 14, 62], "condit": [2, 13, 14, 29, 32, 35, 44, 50], "abov": [2, 3, 4, 5, 6, 8, 10, 12, 14, 16, 18, 19, 21, 24, 26, 28, 32, 34, 36, 39, 42, 43, 44, 47, 51, 52, 54, 55, 56, 58, 60, 62], "copyright": [2, 29, 47], "shall": [2, 14], "substanti": [2, 62], "portion": [2, 20], "THE": 2, "AS": 2, "OF": 2, "OR": [2, 13], "impli": [2, 10, 55], "BUT": 2, "NOT": [2, 4, 36], "TO": 2, "merchant": 2, "fit": [2, 7, 8, 9, 10, 11, 12, 13, 15, 16, 20, 32, 35, 40], "FOR": 2, "A": [2, 3, 4, 5, 7, 10, 11, 12, 14, 17, 21, 23, 24, 25, 26, 27, 28, 29, 34, 36, 38, 39, 40, 42, 43, 47, 49, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62], "particular": [2, 14, 17, 20, 23, 27, 35, 37, 44, 54, 56, 60], "AND": [2, 13, 14], "noninfring": 2, "IN": 2, "NO": 2, "event": [2, 6, 7, 12, 16, 39, 59], "author": [2, 11, 17, 20, 21, 25, 26, 30, 55], "holder": [2, 29], "BE": 2, "liabl": 2, "claim": [2, 62], "damag": 2, "liabil": 2, "whether": [2, 4, 7, 25, 29, 34, 37, 38, 44, 54, 58, 62], "action": [2, 4, 26, 33, 39, 42, 48, 62], "contract": [2, 60], "tort": 2, "aris": [2, 58], "out": [2, 3, 4, 5, 6, 7, 10, 12, 16, 20, 21, 22, 23, 24, 25, 26, 28, 29, 33, 34, 39, 41, 42, 43, 44, 46, 47, 48, 51, 52, 53, 55, 57, 59, 60, 61, 62], "connect": [2, 3, 23, 25, 36, 52, 53, 55, 57], "WITH": 2, "advanc": [3, 6, 7, 9, 10, 12, 13, 32, 34, 35, 50, 60], "python": [3, 5, 6, 7, 9, 10, 11, 12, 13, 15, 21, 27, 29, 32, 33, 36, 37, 38, 39, 42, 43, 45, 46, 48, 49, 62], "tutori": [3, 4, 5, 6, 10, 15, 31, 32, 34, 54, 55], "cover": [3, 4, 6, 16, 20, 22, 34, 36, 50, 55, 56, 61], "skill": [3, 32, 61], "tip": [3, 23, 26, 56], "load": [3, 4, 7, 8, 10, 11, 15, 16, 32, 44, 52, 62], "data": [3, 7, 8, 10, 11, 13, 14, 15, 16, 22, 28, 32, 35, 38, 39, 42, 54, 55, 56, 57, 58, 59, 60, 61, 62], "plot": [3, 8, 9, 10, 12, 14, 15, 16, 22, 27, 32, 35], "matplotlib": [3, 6, 7, 8, 9, 10, 11, 12, 13, 14, 27, 32, 39, 40, 44], "cut": [3, 7, 8, 10, 11, 13, 14, 15, 16, 32, 35, 57, 59, 60], "base": [3, 7, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 30, 32, 36, 39, 40, 44, 55, 56, 57, 58, 59, 60, 61, 62], "selction": 3, "multivari": [3, 12, 16, 32], "analysi": [3, 8, 10, 11, 13, 14, 15, 16, 22, 28, 35, 39, 49, 56, 57, 58, 59], "scikit": [3, 6, 7, 8, 10, 11, 16, 32], "learn": [3, 7, 8, 10, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 52, 55, 56, 57, 58, 59, 60, 61, 62], "uboost": [3, 9], "hep_ml": [3, 9, 12, 14, 32], "neural": [3, 16], "network": [3, 16], "demo": [3, 61], "mutivari": 3, "kinemat": 3, "reweight": [3, 16, 32], "splot": [3, 12, 16, 32], "techniqu": [3, 7, 8, 14, 16, 42, 58, 60], "mutabl": [3, 4, 7, 32, 35, 38, 42, 43], "immut": [3, 34, 38, 49], "object": [3, 4, 5, 6, 7, 10, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 47, 49, 52, 55, 56, 57, 58, 59, 60, 61, 62], "dictionari": [3, 6, 10, 11, 32, 34, 35, 37, 41, 43, 62], "comprehens": [3, 32, 35, 37, 38, 43, 55, 57, 59, 60, 62], "notebook": [3, 7, 9, 10, 13, 14, 15, 16, 28, 29, 32, 34, 39, 47], "moduel": 3, "let": [3, 4, 5, 6, 7, 8, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 25, 26, 33, 34, 35, 36, 42, 43, 44, 45, 47, 48, 52, 54, 55, 56, 57, 59, 60, 62], "compar": [3, 7, 9, 10, 16, 18, 20, 21, 24, 25, 32, 34, 37, 38, 39, 46, 54, 59, 61], "string": [3, 4, 5, 15, 21, 23, 26, 32, 34, 35, 37, 38, 42, 43, 53, 54, 55, 59, 60, 62], "tupl": [3, 32, 34, 35, 37, 38, 43, 62], "what": [3, 4, 5, 6, 7, 8, 11, 15, 16, 17, 18, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 54, 55, 56, 57, 58, 59, 60, 61], "happen": [3, 5, 8, 16, 17, 20, 21, 23, 26, 35, 38, 42, 43, 44, 45, 47, 52, 54, 55, 56, 57, 58, 59, 60, 62], "run": [3, 4, 9, 10, 13, 18, 19, 20, 21, 23, 24, 25, 27, 32, 33, 34, 35, 37, 38, 39, 42, 43, 48, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "b": [3, 4, 5, 7, 8, 10, 14, 15, 20, 21, 22, 34, 38, 39, 42, 43, 45, 49, 51, 52, 54, 55, 57, 58, 59, 62], "c": [3, 4, 13, 14, 18, 22, 27, 34, 35, 37, 38, 39, 42, 43, 44, 49, 53, 55, 56, 57, 58, 60, 62], "hello": [3, 4, 5, 34, 42, 54, 57, 58, 60], "print": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 20, 21, 25, 26, 33, 34, 37, 38, 39, 41, 42, 43, 44, 47, 48, 49, 53, 54, 55, 57, 58, 59, 60, 61, 62], "39": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 34], "2": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 23, 24, 25, 26, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 52, 54, 55, 57, 58, 59, 60, 61], "3": [3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 20, 21, 24, 25, 26, 32, 34, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 49, 52, 55, 57, 58, 59, 60], "foo": [3, 34, 41, 43, 62], "bar": [3, 7, 14, 20, 24, 41, 43, 53, 57, 62], "n": [3, 11, 14, 16, 18, 20, 32, 34, 38, 49, 53, 54, 55, 57, 58, 59, 60, 62], "10": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 20, 21, 25, 26, 32, 34, 36, 39, 41, 42, 43, 45, 47, 49, 52, 53, 55, 57, 59, 60, 62], "list_of_squar": [3, 34], "rang": [3, 6, 7, 8, 10, 12, 13, 14, 15, 34, 38, 42, 43, 44, 59, 61, 62], "sum_of_squar": [3, 34], "sum": [3, 7, 12, 14, 34, 42, 43], "squar": [3, 7, 8, 9, 10, 34, 42, 43], "285": [3, 34], "5": [3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 26, 32, 34, 36, 37, 38, 39, 41, 42, 43, 45, 46, 47, 54, 55, 56, 57, 58, 59, 60], "9": [3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 15, 16, 23, 32, 34, 36, 39, 42, 47, 57, 59, 60], "16": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 34, 36, 39, 42, 46, 47, 52, 59], "25": [3, 4, 5, 6, 7, 10, 11, 13, 14, 34, 38, 39, 47, 58, 60, 62], "6": [3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 23, 26, 32, 34, 36, 39, 42, 43, 47, 49, 57, 60], "36": [3, 4, 34, 52], "7": [3, 4, 5, 6, 7, 8, 10, 11, 13, 14, 15, 16, 27, 32, 33, 34, 36, 38, 39, 42, 44, 47, 48, 55, 59, 60], "49": [3, 4, 12, 34], "8": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 25, 26, 32, 34, 36, 39, 42, 43, 47, 49, 55, 57, 60], "64": [3, 6, 10, 12, 18, 34, 43, 62], "81": [3, 13, 34, 42, 58], "inlin": [3, 12, 32, 34, 35], "latex": [3, 6, 7, 10, 27, 34], "frac": [3, 7, 8, 10, 12, 13, 14, 34], "show": [3, 6, 7, 10, 13, 14, 19, 20, 21, 23, 24, 25, 26, 33, 34, 37, 39, 43, 44, 47, 48, 52, 54, 55, 56, 57, 58, 59, 60], "wonder": [3, 34], "syntax": [3, 6, 34, 37, 42, 43, 44, 46, 49, 52, 54, 57, 60, 62], "highlight": [3, 20, 26, 34, 42], "sad": [3, 34], "grei": [3, 7, 8, 9, 10, 34], "world": [3, 4, 23, 34, 41, 47, 54, 60], "iostream": [3, 34], "std": [3, 34], "cout": [3, 34], "endl": [3, 34], "bash": [3, 20, 32, 34, 39, 47, 50, 51, 55, 57, 58, 59, 60, 61, 62], "echo": [3, 25, 26, 27, 34, 54, 57, 58, 59, 60, 62], "f": [3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 21, 22, 32, 33, 34, 36, 39, 44, 49, 51, 53, 54, 55, 56, 57, 59, 60, 62], "pt_cut": [3, 34], "1789": [3, 34], "234567890987654": [3, 34], "eta_low": [3, 34], "eta_high": [3, 34], "cut_str": [3, 34], "pt": [3, 6, 15, 34, 52], "2f": [3, 7, 8, 9, 10, 34], "eta": [3, 6, 10, 11, 15, 34], "gt": [3, 4, 5, 6, 7, 8, 10, 11, 13, 14, 15, 34, 54], "23": [3, 4, 5, 6, 7, 10, 11, 13, 14, 34, 39, 47, 57], "amp": [3, 34], "lt": [3, 5, 6, 7, 8, 10, 11, 13, 14, 15, 34, 54, 55], "veri": [3, 4, 8, 10, 12, 14, 20, 21, 22, 23, 25, 26, 27, 31, 38, 39, 41, 42, 43, 47, 52, 53, 54, 55, 56, 57, 60, 62], "try": [3, 4, 5, 6, 7, 10, 14, 19, 20, 21, 23, 25, 26, 28, 29, 33, 39, 41, 42, 43, 44, 46, 48, 52, 54, 55, 56, 57, 58, 60, 62], "faster": [3, 7, 8, 32, 38, 55], "cell": [3, 4, 7, 10, 34, 47, 60], "return": [3, 4, 5, 6, 7, 10, 11, 13, 14, 18, 19, 27, 33, 34, 36, 38, 41, 42, 43, 44, 45, 48, 49, 54, 55, 56, 57, 58, 59, 60, 61, 62], "valu": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 32, 33, 34, 35, 37, 38, 41, 42, 43, 44, 46, 47, 48, 49, 54, 58, 59, 60], "which": [3, 4, 5, 6, 7, 8, 11, 12, 13, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "shown": [3, 10, 19, 20, 33, 39, 48, 56, 60], "after": [3, 4, 7, 14, 16, 20, 21, 22, 25, 26, 31, 32, 33, 42, 43, 44, 48, 51, 54, 55, 56, 57, 58, 59, 61, 62], "finish": [3, 4, 20, 26, 33, 48, 49, 57, 58, 60, 62], "rune": 3, "none": [3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 22, 36, 37, 43, 49, 55, 58, 59, 60, 62], "starterkitt": 3, "shell": [3, 20, 23, 32, 33, 41, 44, 45, 47, 48, 51, 53, 55, 56, 57, 58, 60, 62], "command": [3, 11, 18, 19, 20, 21, 23, 24, 25, 26, 27, 32, 33, 34, 35, 39, 41, 43, 44, 47, 48, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 62], "l": [3, 6, 13, 14, 19, 20, 26, 27, 38, 39, 41, 43, 47, 52, 54, 55, 56, 57, 58, 59, 60, 62], "10basic": 3, "ipynb": 3, "33modeltun": 3, "11advancedpython": 3, "40histogram": 3, "12advancedclass": 3, "45demoreweight": 3, "20dataandplot": 3, "50likelihoodinfer": 3, "30classif": 3, "60splot": 3, "31classificationextens": 3, "70scikithepunivers": 3, "32boostingtouniform": 3, "readm": [3, 25], "md": [3, 60], "11": [3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 15, 16, 32, 34, 36, 39, 45, 47, 52, 55, 57, 58, 59, 60, 62], "wget": [3, 32, 61, 62], "com": [3, 17, 20, 26, 29, 31, 32, 54, 62], "index": [3, 4, 6, 10, 11, 14, 16, 20, 21, 32, 34, 38, 42, 44, 55, 62], "html": [3, 6, 7, 8, 10, 13, 43], "2024": 3, "03": [3, 11, 55, 57, 58, 59], "13": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 34, 36, 39, 47, 59], "12": [3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 34, 36, 39, 47, 55, 57, 59], "20": [3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 14, 16, 26, 30, 34, 36, 39, 42, 47, 52, 54, 56, 57, 58, 59], "resolv": [3, 26], 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"programat": 4, "pattern": [4, 16, 22, 55, 58, 60], "achiev": [4, 6, 9, 14, 25, 37, 56, 60], "integ": [4, 11, 34, 38, 45, 54, 55], "everyth": [4, 5, 14, 16, 19, 20, 21, 22, 23, 26, 31, 32, 33, 36, 37, 39, 44, 47, 48, 55, 56, 57, 58, 60], "make_power_func": 4, "pow3": 4, "26": [4, 5, 7, 11, 13, 14, 34, 39, 47, 52, 57, 62], "4398046511104": 4, "test": [4, 6, 8, 10, 13, 16, 22, 23, 27, 31, 32, 36, 38, 44, 51, 54, 56, 57, 60], "anoth": [4, 6, 7, 12, 13, 16, 18, 19, 20, 21, 23, 24, 26, 29, 34, 35, 37, 38, 39, 42, 43, 44, 47, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "wrapper": [4, 9, 46], "timed_pow3": 4, "fime_func": 4, "hint": [4, 12, 21, 22, 26, 36, 55, 57, 60, 62], "scetch": 4, "time_func": 4, "new_func": 4, "timed_func": 4, "wrapped_func": 4, "29": [4, 7, 11, 14, 34, 42, 47], "add_notim": 4, "30": [4, 6, 7, 10, 11, 12, 13, 14, 16, 27, 34, 36, 42, 47, 57, 58, 59, 61, 62], "add_tim": 4, "31": [4, 6, 7, 14, 16, 34, 43, 47], "32": [4, 14, 16, 18, 34, 52], "1920928955078125e": 4, "06": [4, 13, 57, 59, 60, 62], "33": [4, 16, 34, 44], "syntact": [4, 42], "sugar": [4, 32, 35], "argument": [4, 5, 6, 14, 15, 23, 33, 34, 35, 36, 41, 42, 43, 48, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 62], "certain": [4, 6, 7, 11, 13, 25, 34, 36, 41, 42, 44, 46, 49, 54, 60], "surfac": [4, 26], "higher": [4, 10, 13, 17, 39], "stack": [4, 14, 41, 47, 62], "typic": [4, 6, 7, 12, 14, 26, 27, 39, 43, 44, 55, 57, 62], "encount": [4, 7, 8, 36, 41, 44], "wrong": [4, 7, 12, 19, 21, 36, 41, 54, 56, 58, 59, 60, 62], "type": [4, 5, 6, 11, 14, 18, 20, 21, 22, 32, 35, 36, 37, 38, 41, 43, 44, 45, 46, 47, 50, 51, 52, 55, 56, 57, 58, 59, 60, 61, 62], "caught": 4, "block": [4, 37, 42, 43, 44, 46, 47, 55, 58], "order": [4, 6, 7, 8, 11, 12, 13, 14, 16, 20, 22, 26, 27, 32, 37, 38, 39, 41, 42, 43, 51, 53, 55, 56, 57, 58, 59, 60, 61, 62], "handl": [4, 12, 31, 33, 48, 52, 59, 60, 61, 62], "built": [4, 6, 9, 11, 13, 20, 27, 38, 39, 43, 54, 55, 56, 59, 62], "typeerror": [4, 5, 34, 38, 42, 43], "float": [4, 12, 13, 14, 15, 34, 45], "valueerror": [4, 62], "illeg": 4, "neg": [4, 12, 14, 42, 60], "posit": [4, 7, 8, 9, 10, 14, 22, 33, 42, 43, 48, 49, 57, 60], "runtimeerror": 4, "statu": [4, 19, 20, 21, 22, 25, 26, 27, 53, 55, 62], "pars": [4, 15, 44], "fall": [4, 5], "categori": [4, 7, 44], "keyerror": [4, 34], "indexerror": [4, 34, 42], "rais": [4, 5, 34, 62], "35": [4, 11, 34], "int": [4, 34, 41, 43, 45, 46], "str": [4, 10, 16, 32, 34, 37, 43, 44, 49, 62], "often": [4, 5, 6, 7, 8, 11, 16, 21, 23, 27, 28, 29, 37, 39, 41, 43, 52, 58, 60, 61, 62], "conveni": [4, 6, 26, 34, 47, 57, 58], "messag": [4, 6, 13, 20, 21, 23, 25, 26, 33, 44, 48, 55, 56, 57, 58], "And": [4, 5, 6, 12, 14, 18, 24, 33, 36, 38, 48, 49, 54, 55, 57, 60], "inherit": [4, 11, 32, 35], "attent": [4, 12, 13, 25], "subclass": 4, "never": [4, 5, 32, 37, 42, 43, 46, 49, 55], "baseexcept": 4, "37": [4, 34, 58], "myerror": 4, "pass": [4, 5, 11, 14, 15, 28, 33, 43, 44, 48, 49, 51, 54, 55, 57, 58, 59, 60, 62], "38": [4, 5, 6, 34], "alreadi": [4, 6, 7, 11, 14, 20, 22, 23, 25, 26, 28, 29, 32, 34, 35, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 49, 53, 54, 56, 57, 62], "natur": [4, 25, 28, 37, 55], "negativevalueerror": 4, "next": [4, 5, 6, 14, 17, 20, 21, 22, 23, 24, 25, 34, 36, 37, 46, 47, 55, 58, 59, 61], "specifi": [4, 10, 11, 13, 20, 27, 33, 36, 37, 38, 39, 42, 43, 44, 48, 49, 51, 54, 55, 56, 57, 60, 62], "check": [4, 5, 10, 12, 13, 14, 18, 19, 20, 21, 23, 25, 26, 27, 28, 37, 52, 53, 54, 55, 56, 58, 59, 61, 62], "goe": [4, 6, 7, 12, 21, 54, 55, 57, 58, 61], "ye": [4, 5, 7, 34, 41, 42, 53, 55, 56, 62], "40": [4, 6, 9, 14, 15, 21, 34, 36, 42, 58], "keyword": [4, 6, 27, 41, 42, 43, 44, 54, 58], "inspect": [4, 33, 48, 54, 55, 56], "41": [4, 6, 34, 36, 42], "anti": 4, "gener": [4, 6, 7, 8, 13, 14, 16, 20, 25, 27, 34, 36, 39, 41, 42, 43, 44, 47, 51, 52, 55, 56, 57, 58, 62], "unfortun": [4, 21, 25], "caugth": 4, "43": [4, 34, 42, 43], "therefor": [4, 13, 19, 21, 25, 51, 59], "temporari": [4, 41, 55, 57, 62], "44": [4, 34, 43, 52], "guaranti": 4, "could": [4, 6, 7, 8, 10, 21, 22, 23, 26, 29, 32, 33, 36, 37, 38, 39, 42, 43, 46, 48, 51, 54, 55, 56, 57, 59, 62], "omit": [4, 5, 42, 55], "45": [4, 16, 34, 42, 43, 47], "odd": [4, 36, 58], "effect": [4, 6, 7, 20, 21, 23, 34, 37, 39, 41, 42, 43, 44, 55, 56, 57, 58, 59], "ignor": [4, 6, 10, 14, 19, 25, 31, 32, 55, 59, 60, 62], "IF": [4, 5], "logic": [4, 20, 26, 43], "46": [4, 20, 34, 61], "clean": [4, 6, 20, 22, 23, 25, 41, 59], "47": [4, 34], "elif": [4, 37, 54], "replac": [4, 21, 24, 25, 26, 36, 42, 43, 49, 54, 55, 58, 59, 60, 62], "golden": [4, 43], "steer": 4, "consid": [4, 6, 7, 10, 13, 17, 20, 21, 26, 54, 55, 57, 59, 61, 62], "three": [4, 6, 23, 24, 25, 27, 39, 42, 43, 44, 49, 51, 54, 55, 56, 57, 58, 60, 62], "sake": [4, 10, 55, 56], "favor": 4, "real": [4, 5, 6, 7, 8, 10, 12, 16, 21, 25, 29, 32, 43, 44, 45, 54, 60], "larger": [4, 10, 25, 54, 60], "scale": [4, 6, 7, 14, 55, 62], "too": [4, 6, 7, 10, 20, 21, 22, 25, 29, 37, 41, 44, 55, 56, 57, 59, 60], "complic": [4, 5, 7, 24, 25, 28, 29, 41, 42, 55, 56, 58, 59, 62], "explain": [4, 5, 14, 18, 20, 21, 22, 23, 25, 26, 28, 29, 30, 43, 45, 54, 55, 57, 58, 59, 60, 61, 62], "assum": [4, 6, 8, 14, 39, 42, 55, 56, 57, 58, 59, 60, 62], "third": [4, 20, 42, 43, 56, 57, 60], "solv": [4, 7, 14, 22, 26, 29, 35, 36, 41, 58, 60, 62], "deeper": [4, 17], "nest": [4, 5, 19, 22, 37, 42, 57, 58], "don": [4, 6, 7, 12, 13, 16, 20, 21, 22, 23, 25, 26, 29, 33, 36, 37, 38, 39, 41, 42, 43, 47, 48, 51, 54, 55, 56, 57, 58, 59, 60, 62], "output": [4, 7, 8, 9, 10, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 42, 43, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "48": [4, 34, 52], "50": [4, 6, 11, 12, 14, 16, 20, 21, 25, 34, 36], "result": [4, 7, 8, 10, 12, 13, 14, 15, 16, 22, 26, 28, 33, 37, 43, 45, 46, 47, 48, 49, 55, 56, 57, 58, 60, 61, 62], "focus": [5, 60], "invoc": [5, 55], "demystifi": 5, "oubl": 5, "score": [5, 7, 10, 12], "__meth__": [5, 16], "reserv": 5, "invent": 5, "precis": [5, 6, 34, 39], "__meth": 5, "fine": 5, "These": [5, 7, 10, 16, 17, 21, 22, 27, 34, 39, 55, 61, 62], "deleg": 5, "correspond": [5, 6, 14, 20, 23, 25, 26, 37, 38, 45, 46, 49, 57, 61], "__add__": [5, 36, 46], "notimpl": 5, "altern": [5, 6, 7, 13, 16, 32, 47, 51, 60, 62], "tri": [5, 26, 41, 55], "__radd__": 5, "ight": 5, "differ": [5, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 28, 29, 32, 34, 38, 39, 42, 43, 44, 45, 46, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 61, 62], "namedvalu": 5, "valueleft": 5, "valueright": 5, "radd": 5, "think": [5, 14, 17, 20, 21, 22, 23, 25, 38, 41, 42, 55, 57, 58, 59, 60], "valleft": 5, "val": 5, "valleft2": 5, "left2": 5, "__len__": [5, 16], "nice": [5, 7, 20, 32, 33, 35, 36, 37, 39, 42, 43, 48, 49, 62], "represent": [5, 7, 38], "__str__": 5, "similar": [5, 6, 20, 21, 23, 26, 34, 38, 39, 42, 43, 47, 51, 52, 54, 55, 58, 60, 61, 62], "__repr__": 5, "target": [5, 9, 16, 32, 56, 58], "toward": [5, 16, 45, 57], "develop": [5, 27, 29, 32, 43, 59], "namerepr": 5, "namestr": 5, "am": [5, 42], "namestrrepr": 5, "repr": 5, "mean": [5, 6, 7, 10, 12, 13, 14, 17, 18, 20, 21, 23, 25, 28, 31, 34, 35, 36, 37, 38, 42, 43, 44, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "attach": [5, 43, 44, 45, 46, 49, 51, 52], "behind": [5, 7, 24, 25, 26, 28, 29, 46, 57], "__call__": 5, "notcal": 5, "noncal": 5, "down": [5, 20, 21, 26, 27, 32, 34, 35, 43, 45, 53, 54, 55, 56, 62], "won": [5, 13, 14, 20, 24, 26, 37, 42, 58, 60, 62], "rather": [5, 6, 12, 20, 21, 23, 24, 25, 37, 53, 55, 56, 57, 58, 59, 60, 61], "normal": [5, 7, 8, 11, 13, 14, 28, 34, 36, 39, 43, 44, 46, 51, 53, 55, 57, 58, 60], "That": [5, 6, 7, 15, 20, 21, 36, 39, 42, 57, 58], "control": [5, 6, 16, 19, 22, 23, 24, 25, 26, 27, 28, 31, 32, 34, 55, 56, 62], "__getitem__": 5, "__setitem__": 5, "storag": [5, 11, 20, 27, 56, 57], "contain": [5, 6, 7, 9, 12, 13, 14, 15, 16, 20, 23, 25, 26, 27, 28, 32, 35, 37, 38, 39, 42, 43, 44, 46, 49, 54, 55, 56, 57, 58, 59, 60, 62], "demonstr": [5, 7, 8, 9, 10, 13, 14, 16, 32, 45, 55, 58, 61], "getitem": 5, "setitem": 5, "renam": [5, 26, 41, 44, 55, 56], "well": [5, 6, 10, 11, 12, 13, 14, 15, 16, 21, 23, 25, 28, 34, 36, 38, 41, 43, 49, 51, 54, 56, 57, 58, 60], "fullstop": 5, "consequ": 5, "latter": [5, 6, 11, 12, 13, 34, 39, 44, 54, 55, 60], "why": [5, 6, 10, 14, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 32, 36, 37, 54, 55, 56, 57, 58, 59, 60], "dynam": [5, 25, 32, 35, 36], "complet": [5, 6, 12, 17, 25, 26, 27, 34, 36, 47, 54, 55, 58, 59, 61, 62], "sens": [5, 37, 42], "fun": [5, 42], "live": [5, 62], "realli": [5, 7, 12, 21, 22, 23, 34, 38, 42, 44, 56, 61, 62], "least": [5, 25, 31, 35, 37, 38, 45, 56, 57, 58, 62], "independ": [5, 6, 8, 10, 14, 17, 25, 39, 62], "colleagu": [5, 20, 21, 28, 41, 55, 57, 59], "quiz": 5, "did": [5, 7, 13, 16, 17, 20, 25, 28, 34, 36, 42, 44, 56, 57, 59, 60, 62], "access": [5, 6, 13, 15, 16, 18, 23, 24, 28, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 46, 47, 48, 51, 54, 55, 56, 61, 62], "guess": [5, 7, 21, 56], "overrid": [5, 22, 36, 43], "store": [5, 6, 7, 8, 10, 11, 13, 19, 20, 21, 26, 27, 28, 34, 42, 46, 49, 55, 59, 60, 61], "__dict__": 5, "remark": [5, 43], "__class__": 5, "mappingproxi": 5, "__module__": 5, "__main__": [5, 36, 43, 44], "__weakref__": 5, "__doc__": 5, "But": [5, 14, 19, 20, 21, 26, 33, 34, 36, 42, 43, 44, 48, 49, 54, 55, 61], "occur": [5, 20, 23, 26, 45], "realiti": [5, 28], "disclaim": 5, "extrem": [5, 36], "bad": [5, 7, 14, 19, 57, 61, 62], "getandset": 5, "__getattr__": [5, 16], "__setattr__": 5, "game": [5, 34], "same": [5, 6, 7, 8, 10, 11, 12, 13, 14, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 33, 34, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 62], "provok": 5, "getattr": 5, "setattr": 5, "hi": [5, 18, 19, 26, 34], "becaus": [5, 8, 14, 18, 20, 21, 22, 23, 24, 26, 29, 33, 34, 35, 36, 37, 42, 43, 45, 46, 48, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62], "explicit": [5, 34, 37, 62], "zen": [5, 41], "tim": 5, "peter": 5, "beauti": [5, 15, 21, 42], "ugli": [5, 49], "implicit": [5, 34, 43], "simpl": [5, 7, 11, 16, 25, 27, 32, 33, 36, 37, 43, 47, 48, 51, 54, 57, 58, 60, 61, 62], "complex": [5, 11, 16, 32, 34, 43, 45, 50, 56, 57, 59, 60, 61], "flat": [5, 9], "spars": 5, "dens": 5, "count": [5, 6, 10, 11, 13, 14, 23, 24, 25, 26, 57, 59, 60, 62], "aren": [5, 17, 41, 42, 56], "although": [5, 36, 61], "beat": 5, "puriti": 5, "silent": [5, 44, 56, 57], "unless": [5, 17, 23, 35, 37, 55, 57, 62], "explicitli": [5, 6, 13, 15, 20, 25, 34, 36, 37, 42, 43, 44, 45, 55, 62], "silenc": 5, "face": 5, "ambigu": [5, 21], "refus": 5, "temptat": 5, "obviou": [5, 23, 41, 43, 62], "dutch": 5, "hard": [5, 6, 8, 21, 25, 43, 55, 57, 58, 60, 62], "namespac": [5, 44], "honk": 5, "those": [5, 6, 12, 14, 17, 20, 21, 23, 25, 26, 37, 38, 43, 44, 45, 46, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "sentenc": [5, 21, 35, 49, 54], "adult": 5, "behav": [5, 25, 37, 38, 44, 45, 57], "simul": [6, 8, 12, 13], "j": [6, 7, 10, 13, 14, 34, 45, 54, 55], "psi": [6, 7, 10, 13], "rightarrow": [6, 39], "mu": [6, 13, 14], "mplhep": [6, 7, 8, 13, 14, 16], "hep": [6, 7, 11, 12, 13, 16, 32, 62], "organis": [6, 54], "collect": [6, 11, 15, 27, 28, 37, 38, 41, 42, 44, 55, 61], "still": [6, 10, 13, 14, 20, 23, 26, 36, 51, 52, 56, 57, 58, 59, 60, 61, 62], "high": [6, 10, 11, 12, 13, 14, 15, 32, 35, 41, 61], "energi": [6, 11, 14, 32, 35, 41], "physic": [6, 9, 11, 12, 13, 14, 15, 16, 32, 35, 41, 55], "mimic": 6, "top": [6, 7, 11, 14, 23, 24, 25, 33, 37, 39, 48, 55, 57, 59], "pure": [6, 13, 14, 16], "cumbersom": [6, 36], "uproot": [6, 7, 9, 10, 12, 16, 32, 40], "put": [6, 8, 20, 21, 22, 23, 25, 26, 33, 43, 48, 52, 55, 56, 57, 58, 59, 60, 61, 62], "fake": [6, 14, 54, 62], "jpsi_m": [6, 7, 10, 11, 13], "jpsi_p": [6, 7, 10, 11], "jpsi_pt": [6, 7, 10, 11], "jpsi_px": [6, 11], "jpsi_pi": [6, 11], "jpsi_pz": [6, 7, 10, 11], "mum_m": [6, 11], "mum_pt": [6, 7, 8, 10, 11], "mum_eta": [6, 7, 10, 11], "mum_p": [6, 7, 10, 11], "mum_px": [6, 7, 10, 11], "mum_pi": [6, 7, 10, 11], "mum_pz": [6, 7, 10, 11], "mum_ip": 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26, 28, 29, 30, 50, 55, 56, 57, 58, 59, 60, 61], "osi": 2, "approv": [2, 29], "mit": 2, "herebi": [2, 25, 36], "grant": [2, 29], "charg": [2, 15, 31], "obtain": [2, 6, 9, 11, 12, 13, 14, 16, 28, 33, 48, 51, 60], "deal": [2, 11, 17, 46, 57], "without": [2, 3, 5, 6, 9, 10, 11, 12, 14, 15, 20, 21, 22, 23, 24, 25, 26, 27, 29, 33, 36, 39, 42, 44, 45, 48, 49, 51, 55, 56, 57, 58, 59, 60, 62], "modifi": [2, 20, 21, 22, 25, 26, 27, 28, 31, 33, 39, 42, 44, 48, 49, 54, 58, 59, 60, 62], "distribut": [2, 7, 10, 13, 16, 17, 25, 28, 29, 31, 32, 39, 40, 44, 47, 62], "sublicens": 2, "sell": 2, "whom": 2, "furnish": 2, "subject": [2, 14, 62], "condit": [2, 13, 14, 29, 32, 35, 44, 50], "abov": [2, 3, 4, 5, 6, 8, 10, 12, 14, 16, 18, 19, 21, 24, 26, 28, 32, 34, 36, 39, 42, 43, 44, 47, 51, 52, 54, 55, 56, 58, 60, 62], "copyright": [2, 29, 47], "shall": [2, 14], "substanti": [2, 62], "portion": [2, 20], "THE": 2, "AS": 2, "OF": 2, "OR": [2, 13], "impli": [2, 10, 55], "BUT": 2, "NOT": [2, 4, 36], "TO": 2, "merchant": 2, "fit": [2, 7, 8, 9, 10, 11, 12, 13, 15, 16, 20, 32, 35, 40], "FOR": 2, "A": [2, 3, 4, 5, 7, 10, 11, 12, 14, 17, 21, 23, 24, 25, 26, 27, 28, 29, 34, 36, 38, 39, 40, 42, 43, 47, 49, 52, 53, 54, 55, 56, 57, 58, 59, 61, 62], "particular": [2, 14, 17, 20, 23, 27, 35, 37, 44, 54, 56, 60], "AND": [2, 13, 14], "noninfring": 2, "IN": 2, "NO": 2, "event": [2, 6, 7, 12, 16, 39, 59], "author": [2, 11, 17, 20, 21, 25, 26, 30, 55], "holder": [2, 29], "BE": 2, "liabl": 2, "claim": [2, 62], "damag": 2, "liabil": 2, "whether": [2, 4, 7, 25, 29, 34, 37, 38, 44, 54, 58, 62], "action": [2, 4, 26, 33, 39, 42, 48, 62], "contract": [2, 60], "tort": 2, "aris": [2, 58], "out": [2, 3, 4, 5, 6, 7, 10, 12, 16, 20, 21, 22, 23, 24, 25, 26, 28, 29, 33, 34, 39, 41, 42, 43, 44, 46, 47, 48, 51, 52, 53, 55, 57, 59, 60, 61, 62], "connect": [2, 3, 23, 25, 36, 52, 53, 55, 57], "WITH": 2, "advanc": [3, 6, 7, 9, 10, 12, 13, 32, 34, 35, 50, 60], "python": [3, 5, 6, 7, 9, 10, 11, 12, 13, 15, 21, 27, 29, 32, 33, 36, 37, 38, 39, 42, 43, 45, 46, 48, 49, 62], "tutori": [3, 4, 5, 6, 10, 15, 31, 32, 34, 54, 55], "cover": [3, 4, 6, 16, 20, 22, 34, 36, 50, 55, 56, 61], "skill": [3, 32, 61], "tip": [3, 23, 26, 56], "load": [3, 4, 7, 8, 10, 11, 15, 16, 32, 44, 52, 62], "data": [3, 7, 8, 10, 11, 13, 14, 15, 16, 22, 28, 32, 35, 38, 39, 42, 54, 55, 56, 57, 58, 59, 60, 61, 62], "plot": [3, 8, 9, 10, 12, 14, 15, 16, 22, 27, 32, 35], "matplotlib": [3, 6, 7, 8, 9, 10, 11, 12, 13, 14, 27, 32, 39, 40, 44], "cut": [3, 7, 8, 10, 11, 13, 14, 15, 16, 32, 35, 57, 59, 60], "base": [3, 7, 10, 11, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 36, 39, 40, 44, 55, 56, 57, 58, 59, 60, 61, 62], "selction": 3, "multivari": [3, 12, 16, 32], "analysi": [3, 8, 10, 11, 13, 14, 15, 16, 22, 28, 35, 39, 49, 56, 57, 58, 59], "scikit": [3, 6, 7, 8, 10, 11, 16, 32], "learn": [3, 7, 8, 10, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 52, 55, 56, 57, 58, 59, 60, 61, 62], "uboost": [3, 9], "hep_ml": [3, 9, 12, 14, 32], "neural": [3, 16], "network": [3, 16], "demo": [3, 61], "mutivari": 3, "kinemat": 3, "reweight": [3, 16, 32], "splot": [3, 12, 16, 32], "techniqu": [3, 7, 8, 14, 16, 42, 58, 60], "mutabl": [3, 4, 7, 32, 35, 38, 42, 43], "immut": [3, 34, 38, 49], "object": [3, 4, 5, 6, 7, 10, 11, 13, 15, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 32, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 47, 49, 52, 55, 56, 57, 58, 59, 60, 61, 62], "dictionari": [3, 6, 10, 11, 32, 34, 35, 37, 41, 43, 62], "comprehens": [3, 32, 35, 37, 38, 43, 55, 57, 59, 60, 62], "notebook": [3, 7, 9, 10, 13, 14, 15, 16, 28, 29, 32, 34, 39, 47], "moduel": 3, "let": [3, 4, 5, 6, 7, 8, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 25, 26, 33, 34, 35, 36, 42, 43, 44, 45, 47, 48, 52, 54, 55, 56, 57, 59, 60, 62], "compar": [3, 7, 9, 10, 16, 18, 20, 21, 24, 25, 32, 34, 37, 38, 39, 46, 54, 59, 61], "string": [3, 4, 5, 15, 21, 23, 26, 32, 34, 35, 37, 38, 42, 43, 53, 54, 55, 59, 60, 62], "tupl": [3, 32, 34, 35, 37, 38, 43, 62], "what": [3, 4, 5, 6, 7, 8, 11, 15, 16, 17, 18, 20, 21, 22, 23, 24, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 52, 54, 55, 56, 57, 58, 59, 60, 61], "happen": [3, 5, 8, 16, 17, 20, 21, 23, 26, 35, 38, 42, 43, 44, 45, 47, 52, 54, 55, 56, 57, 58, 59, 60, 62], "run": [3, 4, 9, 10, 13, 18, 19, 20, 21, 23, 24, 25, 27, 32, 33, 34, 35, 37, 38, 39, 42, 43, 48, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "b": [3, 4, 5, 7, 8, 10, 14, 15, 20, 21, 22, 34, 38, 39, 42, 43, 45, 49, 51, 52, 54, 55, 57, 58, 59, 62], "c": [3, 4, 13, 14, 18, 22, 27, 34, 35, 37, 38, 39, 42, 43, 44, 49, 53, 55, 56, 57, 58, 60, 62], "hello": [3, 4, 5, 34, 42, 54, 57, 58, 60], "print": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 20, 21, 25, 26, 33, 34, 37, 38, 39, 41, 42, 43, 44, 47, 48, 49, 53, 54, 55, 57, 58, 59, 60, 61, 62], "39": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 34], "2": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 20, 21, 23, 24, 25, 26, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 52, 54, 55, 57, 58, 59, 60, 61], "3": [3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 16, 18, 20, 21, 24, 25, 26, 32, 34, 36, 37, 38, 39, 42, 43, 44, 45, 46, 47, 49, 52, 55, 57, 58, 59, 60], "foo": [3, 34, 41, 43, 62], "bar": [3, 7, 14, 20, 24, 41, 43, 53, 57, 62], "n": [3, 11, 14, 16, 18, 20, 32, 34, 38, 49, 53, 54, 55, 57, 58, 59, 60, 62], "10": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 20, 21, 25, 26, 32, 34, 36, 39, 41, 42, 43, 45, 47, 49, 52, 53, 55, 57, 59, 60, 62], "list_of_squar": [3, 34], "rang": [3, 6, 7, 8, 10, 12, 13, 14, 15, 34, 38, 42, 43, 44, 59, 61, 62], "sum_of_squar": [3, 34], "sum": [3, 7, 12, 14, 34, 42, 43], "squar": [3, 7, 8, 9, 10, 34, 42, 43], "285": [3, 34], "5": [3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 16, 17, 26, 32, 34, 36, 37, 38, 39, 41, 42, 43, 45, 46, 47, 54, 55, 56, 57, 58, 59, 60], "9": [3, 4, 5, 6, 7, 8, 10, 11, 12, 13, 15, 16, 23, 27, 32, 34, 36, 39, 42, 47, 57, 59, 60], "16": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 34, 36, 39, 42, 46, 47, 52, 59], "25": [3, 4, 5, 6, 7, 10, 11, 14, 34, 38, 39, 47, 58, 60, 62], "6": [3, 4, 5, 7, 8, 9, 10, 12, 13, 14, 15, 16, 23, 26, 32, 34, 36, 39, 42, 43, 47, 49, 57, 60], "36": [3, 4, 34, 52], "7": [3, 4, 5, 6, 7, 8, 10, 11, 13, 14, 15, 16, 32, 33, 34, 36, 38, 39, 42, 44, 47, 48, 55, 59, 60], "49": [3, 4, 12, 34], "8": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 14, 15, 16, 25, 26, 32, 34, 36, 39, 42, 43, 47, 49, 55, 57, 60], "64": [3, 6, 10, 12, 18, 34, 43, 62], "81": [3, 13, 34, 42, 58], "inlin": [3, 12, 32, 34, 35], "latex": [3, 6, 7, 10, 27, 34], "frac": [3, 7, 8, 10, 12, 13, 14, 34], "show": [3, 6, 7, 10, 13, 14, 19, 20, 21, 23, 24, 25, 26, 33, 34, 37, 39, 43, 44, 47, 48, 52, 54, 55, 56, 57, 58, 59, 60], "wonder": [3, 34], "syntax": [3, 6, 34, 37, 42, 43, 44, 46, 49, 52, 54, 57, 60, 62], "highlight": [3, 20, 26, 34, 42], "sad": [3, 34], "grei": [3, 7, 8, 9, 10, 34], "world": [3, 4, 23, 34, 41, 47, 54, 60], "iostream": [3, 34], "std": [3, 34], "cout": [3, 34], "endl": [3, 34], "bash": [3, 20, 32, 34, 39, 47, 50, 51, 55, 57, 58, 59, 60, 61, 62], "echo": [3, 25, 26, 27, 34, 54, 57, 58, 59, 60, 62], "f": [3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 21, 22, 32, 33, 34, 36, 39, 44, 49, 51, 53, 54, 55, 56, 57, 59, 60, 62], "pt_cut": [3, 34], "1789": [3, 34], "234567890987654": [3, 34], "eta_low": [3, 34], "eta_high": [3, 34], "cut_str": [3, 34], "pt": [3, 6, 15, 34, 52], "2f": [3, 7, 8, 9, 10, 34], "eta": [3, 6, 10, 11, 15, 34], "gt": [3, 4, 5, 6, 7, 8, 10, 11, 13, 14, 15, 34, 54], "23": [3, 4, 5, 6, 7, 10, 11, 13, 14, 34, 39, 47, 57], "amp": [3, 34], "lt": [3, 5, 6, 7, 8, 10, 11, 13, 14, 15, 34, 54, 55], "veri": [3, 4, 8, 10, 12, 14, 20, 21, 22, 23, 25, 26, 27, 31, 38, 39, 41, 42, 43, 47, 52, 53, 54, 55, 56, 57, 60, 62], "try": [3, 4, 5, 6, 7, 10, 14, 19, 20, 21, 23, 25, 26, 28, 29, 33, 39, 41, 42, 43, 44, 46, 48, 52, 54, 55, 56, 57, 58, 60, 62], "faster": [3, 7, 8, 32, 38, 55], "cell": [3, 4, 7, 10, 34, 47, 60], "return": [3, 4, 5, 6, 7, 10, 11, 13, 14, 18, 19, 27, 33, 34, 36, 38, 41, 42, 43, 44, 45, 48, 49, 54, 55, 56, 57, 58, 59, 60, 61, 62], "valu": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 16, 32, 33, 34, 35, 37, 38, 41, 42, 43, 44, 46, 47, 48, 49, 54, 58, 59, 60], "which": [3, 4, 5, 6, 7, 8, 11, 12, 13, 15, 16, 17, 18, 20, 21, 22, 23, 25, 26, 27, 28, 29, 31, 32, 33, 34, 35, 36, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "shown": [3, 10, 19, 20, 33, 39, 48, 56, 60], "after": [3, 4, 7, 14, 16, 20, 21, 22, 25, 26, 31, 32, 33, 42, 43, 44, 48, 51, 54, 55, 56, 57, 58, 59, 61, 62], "finish": [3, 4, 20, 26, 33, 48, 49, 57, 58, 60, 62], "rune": 3, "none": [3, 4, 5, 7, 8, 9, 10, 11, 13, 14, 22, 36, 37, 43, 49, 55, 58, 59, 60, 62], "starterkitt": 3, "shell": [3, 20, 23, 32, 33, 41, 44, 45, 47, 48, 51, 53, 55, 56, 57, 58, 60, 62], "command": [3, 11, 18, 19, 20, 21, 23, 24, 25, 26, 27, 32, 33, 34, 35, 39, 41, 43, 44, 47, 48, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 62], "l": 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"length": [3, 42, 43, 57, 59], "1256": 3, "2k": 3, "save": [3, 10, 17, 20, 21, 31, 32, 54, 56, 57, 58, 59, 60, 62], "kb": [3, 54, 55], "100": [3, 6, 7, 8, 10, 12, 14, 23, 24, 25, 26, 36, 39, 58, 62], "23k": 3, "90": [3, 41, 42], "mb": [3, 54, 55], "pre": [3, 13, 25, 47, 62], "end": [3, 4, 7, 8, 10, 12, 13, 14, 17, 18, 20, 21, 22, 24, 25, 26, 27, 29, 31, 37, 38, 42, 43, 44, 47, 49, 52, 55, 57, 58, 59, 60, 61, 62], "sphinxverbatim": 3, "time": [3, 4, 6, 7, 8, 9, 10, 12, 13, 14, 18, 20, 21, 23, 25, 26, 27, 28, 29, 31, 33, 34, 36, 39, 41, 42, 44, 47, 48, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "someth": [3, 4, 6, 8, 12, 22, 23, 25, 26, 28, 34, 36, 37, 42, 43, 45, 46, 47, 54, 55, 56, 57, 58, 59, 60, 61, 62], "take": [3, 4, 6, 7, 9, 10, 12, 13, 14, 20, 24, 26, 27, 33, 36, 37, 39, 41, 42, 43, 46, 48, 55, 58, 59, 60, 61, 62], "line": [3, 4, 6, 7, 13, 14, 18, 20, 21, 22, 23, 24, 25, 26, 32, 33, 34, 35, 36, 37, 38, 41, 42, 43, 44, 45, 47, 48, 49, 51, 53, 54, 55, 56, 57, 58, 59, 60, 62], "12": 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"valueerror": [4, 62], "illeg": 4, "neg": [4, 12, 14, 42, 60], "posit": [4, 7, 8, 9, 10, 14, 22, 33, 42, 43, 48, 49, 57, 60], "runtimeerror": 4, "statu": [4, 19, 20, 21, 22, 25, 26, 27, 53, 55, 62], "pars": [4, 15, 44], "fall": [4, 5], "categori": [4, 7, 44], "keyerror": [4, 34], "indexerror": [4, 34, 42], "rais": [4, 5, 34, 62], "35": [4, 11, 34], "int": [4, 34, 41, 43, 45, 46], "str": [4, 10, 16, 32, 34, 37, 43, 44, 49, 62], "often": [4, 5, 6, 7, 8, 11, 16, 21, 23, 27, 28, 29, 37, 39, 41, 43, 52, 58, 60, 61, 62], "conveni": [4, 6, 26, 34, 47, 57, 58], "messag": [4, 6, 13, 20, 21, 23, 25, 26, 33, 44, 48, 55, 56, 57, 58], "And": [4, 5, 6, 12, 14, 18, 24, 33, 36, 38, 48, 49, 54, 55, 57, 60], "inherit": [4, 11, 32, 35], "attent": [4, 12, 13, 25], "subclass": 4, "never": [4, 5, 32, 37, 42, 43, 46, 49, 55], "baseexcept": 4, "37": [4, 34, 58], "myerror": 4, "pass": [4, 5, 11, 14, 15, 28, 33, 43, 44, 48, 49, 51, 54, 55, 57, 58, 59, 60, 62], "38": [4, 5, 6, 34], "alreadi": [4, 6, 7, 11, 14, 20, 22, 23, 25, 26, 28, 29, 32, 34, 35, 37, 38, 39, 41, 42, 43, 44, 45, 46, 47, 49, 53, 54, 56, 57, 62], "natur": [4, 25, 28, 37, 55], "negativevalueerror": 4, "next": [4, 5, 6, 14, 17, 20, 21, 22, 23, 24, 25, 34, 36, 37, 46, 47, 55, 58, 59, 61], "specifi": [4, 10, 11, 13, 20, 27, 33, 36, 37, 38, 39, 42, 43, 44, 48, 49, 51, 54, 55, 56, 57, 60, 62], "check": [4, 5, 10, 12, 13, 14, 18, 19, 20, 21, 23, 25, 26, 27, 28, 37, 52, 53, 54, 55, 56, 58, 59, 61, 62], "goe": [4, 6, 7, 12, 21, 54, 55, 57, 58, 61], "ye": [4, 5, 7, 34, 41, 42, 53, 55, 56, 62], "40": [4, 6, 9, 14, 15, 21, 34, 36, 42, 58], "keyword": [4, 6, 27, 41, 42, 43, 44, 54, 58], "inspect": [4, 33, 48, 54, 55, 56], "41": [4, 6, 34, 36, 42], "anti": 4, "gener": [4, 6, 7, 8, 13, 14, 16, 20, 25, 27, 34, 36, 39, 41, 42, 43, 44, 47, 51, 52, 55, 56, 57, 58, 62], "unfortun": [4, 21, 25], "caugth": 4, "43": [4, 34, 42, 43], "therefor": [4, 13, 19, 21, 25, 51, 59], "temporari": [4, 41, 55, 57, 62], "44": [4, 34, 43, 52], "guaranti": 4, "could": [4, 6, 7, 8, 10, 21, 22, 23, 26, 29, 32, 33, 36, 37, 38, 39, 42, 43, 46, 48, 51, 54, 55, 56, 57, 59, 62], "omit": [4, 5, 42, 55], "45": [4, 16, 34, 42, 43, 47], "odd": [4, 36, 58], "effect": [4, 6, 7, 20, 21, 23, 34, 37, 39, 41, 42, 43, 44, 55, 56, 57, 58, 59], "ignor": [4, 6, 10, 14, 19, 25, 31, 32, 55, 59, 60, 62], "IF": [4, 5], "logic": [4, 20, 26, 43], "46": [4, 20, 34, 61], "clean": [4, 6, 20, 22, 23, 25, 41, 59], "47": [4, 34], "elif": [4, 37, 54], "replac": [4, 21, 24, 25, 26, 36, 42, 43, 49, 54, 55, 58, 59, 60, 62], "golden": [4, 43], "steer": 4, "consid": [4, 6, 7, 10, 13, 17, 20, 21, 26, 54, 55, 57, 59, 61, 62], "three": [4, 6, 23, 24, 25, 27, 39, 42, 43, 44, 49, 51, 54, 55, 56, 57, 58, 60, 62], "sake": [4, 10, 55, 56], "favor": 4, "real": [4, 5, 6, 7, 8, 10, 12, 16, 21, 25, 29, 32, 43, 44, 45, 54, 60], "larger": [4, 10, 25, 54, 60], "scale": [4, 6, 7, 14, 55, 62], "too": [4, 6, 7, 10, 20, 21, 22, 25, 29, 37, 41, 44, 55, 56, 57, 59, 60], "complic": [4, 5, 7, 24, 25, 28, 29, 41, 42, 55, 56, 58, 59, 62], "explain": [4, 5, 14, 18, 20, 21, 22, 23, 25, 26, 28, 29, 30, 43, 45, 54, 55, 57, 58, 59, 60, 61, 62], "assum": [4, 6, 8, 14, 39, 42, 55, 56, 57, 58, 59, 60, 62], "third": [4, 20, 42, 43, 56, 57, 60], "solv": [4, 7, 14, 22, 26, 29, 35, 36, 41, 58, 60, 62], "deeper": [4, 17], "nest": [4, 5, 19, 22, 37, 42, 57, 58], "don": [4, 6, 7, 12, 13, 16, 20, 21, 22, 23, 25, 26, 29, 33, 36, 37, 38, 39, 41, 42, 43, 47, 48, 51, 54, 55, 56, 57, 58, 59, 60, 62], "output": [4, 7, 8, 9, 10, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 42, 43, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62], "50": [4, 6, 11, 12, 14, 16, 20, 21, 25, 34, 36], "result": [4, 7, 8, 10, 12, 13, 14, 15, 16, 22, 26, 28, 33, 37, 43, 45, 46, 47, 48, 49, 55, 56, 57, 58, 60, 61, 62], "focus": [5, 60], "invoc": [5, 55], "demystifi": 5, "oubl": 5, "score": [5, 7, 10, 12], "__meth__": [5, 16], "reserv": 5, "invent": 5, "precis": [5, 6, 34, 39], "__meth": 5, "fine": 5, "These": [5, 7, 10, 16, 17, 21, 22, 27, 34, 39, 55, 61, 62], "deleg": 5, "correspond": [5, 6, 14, 20, 23, 25, 26, 37, 38, 45, 46, 49, 57, 61], "__add__": [5, 36, 46], "notimpl": 5, "altern": [5, 6, 7, 13, 16, 32, 47, 51, 60, 62], "tri": [5, 26, 41, 55], "__radd__": 5, "ight": 5, "differ": [5, 7, 8, 10, 11, 12, 14, 15, 16, 17, 18, 20, 21, 23, 24, 25, 26, 28, 29, 32, 34, 38, 39, 42, 43, 44, 45, 46, 49, 50, 51, 52, 53, 55, 56, 57, 58, 59, 60, 61, 62], "namedvalu": 5, "valueleft": 5, "valueright": 5, "radd": 5, "think": [5, 14, 17, 20, 21, 22, 23, 25, 38, 41, 42, 55, 57, 58, 59, 60], "valleft": 5, "val": 5, "valleft2": 5, "left2": 5, "__len__": [5, 16], "nice": [5, 7, 20, 32, 33, 35, 36, 37, 39, 42, 43, 48, 49, 62], "represent": [5, 7, 38], "__str__": 5, "similar": [5, 6, 20, 21, 23, 26, 34, 38, 39, 42, 43, 47, 51, 52, 54, 55, 58, 60, 61, 62], "__repr__": 5, "target": [5, 9, 16, 32, 56, 58], "toward": [5, 16, 45, 57], "develop": [5, 27, 29, 32, 43, 59], "namerepr": 5, "namestr": 5, "am": [5, 42], "namestrrepr": 5, "repr": 5, "mean": [5, 6, 7, 10, 12, 13, 14, 17, 18, 20, 21, 23, 25, 28, 31, 34, 35, 36, 37, 38, 42, 43, 44, 46, 47, 49, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "attach": [5, 43, 44, 45, 46, 49, 51, 52], "behind": [5, 7, 24, 25, 26, 28, 29, 46, 57], "__call__": 5, "notcal": 5, "noncal": 5, "down": [5, 20, 21, 26, 27, 32, 34, 35, 43, 45, 53, 54, 55, 56, 62], "won": [5, 13, 14, 20, 24, 26, 37, 42, 58, 60, 62], "rather": [5, 6, 12, 20, 21, 23, 24, 25, 37, 53, 55, 56, 57, 58, 59, 60, 61], "normal": [5, 7, 8, 11, 13, 14, 28, 34, 36, 39, 43, 44, 46, 51, 53, 55, 57, 58, 60], "That": [5, 6, 7, 15, 20, 21, 36, 39, 42, 57, 58], "control": [5, 6, 16, 19, 22, 23, 24, 25, 26, 27, 28, 31, 32, 34, 55, 56, 62], "__getitem__": 5, "__setitem__": 5, "storag": [5, 11, 20, 27, 56, 57], "contain": [5, 6, 7, 9, 12, 13, 14, 15, 16, 20, 23, 25, 26, 27, 28, 32, 35, 37, 38, 39, 42, 43, 44, 46, 49, 54, 55, 56, 57, 58, 59, 60, 62], "demonstr": [5, 7, 8, 9, 10, 13, 14, 16, 32, 45, 55, 58, 61], "getitem": 5, "setitem": 5, "renam": [5, 26, 41, 44, 55, 56], "well": [5, 6, 10, 11, 12, 13, 14, 15, 16, 21, 23, 25, 28, 34, 36, 38, 41, 43, 49, 51, 54, 56, 57, 58, 60], "fullstop": 5, "consequ": 5, "latter": [5, 6, 11, 12, 13, 34, 39, 44, 54, 55, 60], "why": [5, 6, 10, 14, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 32, 36, 37, 54, 55, 56, 57, 58, 59, 60], "dynam": [5, 25, 32, 35, 36], "complet": [5, 6, 12, 17, 25, 26, 27, 34, 36, 47, 54, 55, 58, 59, 61, 62], "sens": [5, 37, 42], "fun": [5, 42], "live": [5, 62], "realli": [5, 7, 12, 21, 22, 23, 34, 38, 42, 44, 56, 61, 62], "least": [5, 25, 31, 35, 37, 38, 45, 56, 57, 58, 62], "independ": [5, 6, 8, 10, 14, 17, 25, 39, 62], "colleagu": [5, 20, 21, 28, 41, 55, 57, 59], "quiz": 5, "did": [5, 7, 13, 16, 17, 20, 25, 28, 34, 36, 42, 44, 56, 57, 59, 60, 62], "access": [5, 6, 13, 15, 16, 18, 23, 24, 28, 32, 33, 34, 36, 37, 38, 39, 41, 42, 43, 44, 46, 47, 48, 51, 54, 55, 56, 61, 62], "guess": [5, 7, 21, 56], "overrid": [5, 22, 36, 43], "store": [5, 6, 7, 8, 10, 11, 13, 19, 20, 21, 26, 27, 28, 34, 42, 46, 49, 55, 59, 60, 61], "__dict__": 5, "remark": [5, 43], "__class__": 5, "mappingproxi": 5, "__module__": 5, "__main__": [5, 36, 43, 44], "__weakref__": 5, "__doc__": 5, "But": [5, 14, 19, 20, 21, 26, 33, 34, 36, 42, 43, 44, 48, 49, 54, 55, 61], "occur": [5, 20, 23, 26, 45], "realiti": [5, 28], "disclaim": 5, "extrem": [5, 36], "bad": [5, 7, 14, 19, 57, 61, 62], "getandset": 5, "__getattr__": [5, 16], "__setattr__": 5, "game": [5, 34], "same": [5, 6, 7, 8, 10, 11, 12, 13, 14, 17, 18, 20, 21, 22, 23, 24, 25, 26, 27, 28, 33, 34, 37, 38, 42, 43, 44, 45, 46, 47, 48, 49, 51, 52, 54, 55, 56, 57, 58, 59, 60, 62], "provok": 5, "getattr": 5, "setattr": 5, "hi": [5, 18, 19, 26, 34], "becaus": [5, 8, 14, 18, 20, 21, 22, 23, 24, 26, 29, 33, 34, 35, 36, 37, 42, 43, 45, 46, 48, 49, 53, 55, 56, 57, 58, 59, 60, 61, 62], "explicit": [5, 34, 37, 62], "zen": [5, 41], "tim": 5, "peter": 5, "beauti": [5, 15, 21, 42], "ugli": [5, 49], "implicit": [5, 34, 43], "simpl": [5, 7, 11, 16, 25, 27, 32, 33, 36, 37, 43, 47, 48, 51, 54, 57, 58, 60, 61, 62], "complex": [5, 11, 16, 32, 34, 43, 45, 50, 56, 57, 59, 60, 61], "flat": [5, 9], "spars": 5, "dens": 5, "count": [5, 6, 10, 11, 13, 14, 23, 24, 25, 26, 57, 59, 60, 62], "aren": [5, 17, 41, 42, 56], "although": [5, 36, 61], "beat": 5, "puriti": 5, "silent": [5, 44, 56, 57], "unless": [5, 17, 23, 35, 37, 55, 57, 62], "explicitli": [5, 6, 13, 15, 20, 25, 34, 36, 37, 42, 43, 44, 45, 55, 62], "silenc": 5, "face": 5, "ambigu": [5, 21], "refus": 5, "temptat": 5, "obviou": [5, 23, 41, 43, 62], "dutch": 5, "hard": [5, 6, 8, 21, 25, 43, 55, 57, 58, 60, 62], "namespac": [5, 44], "honk": 5, "those": [5, 6, 12, 14, 17, 20, 21, 23, 25, 26, 37, 38, 43, 44, 45, 46, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61, 62], "sentenc": [5, 21, 35, 49, 54], "adult": 5, "behav": [5, 25, 37, 38, 44, 45, 57], "simul": [6, 8, 12, 13], "j": [6, 7, 10, 13, 14, 34, 45, 54, 55], "psi": [6, 7, 10, 13], "rightarrow": [6, 39], "mu": [6, 13, 14], "mplhep": 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"mum_probnnmu": [6, 7, 10, 11], "mum_probnnpi": [6, 11], "mup_m": [6, 11], "mup_pt": [6, 7, 8, 10, 11], "mup_eta": [6, 7, 10, 11], "mup_p": [6, 7, 10, 11], "mup_px": [6, 11], "mup_pi": [6, 11], "mup_pz": [6, 11], "mup_ip": [6, 7, 8, 10, 11], "mup_probnnmu": [6, 7, 10, 11], "mup_probnnpi": [6, 11], "ntrack": [6, 11], "suffix": 6, "_m": 6, "invari": [6, 14, 36], "mass": [6, 7, 8, 9, 10, 11, 13, 15, 16, 36, 39], "particl": [6, 9, 14, 16, 32, 36, 39], "pdg": [6, 15], "muon": [6, 7, 10], "_p": 6, "absolut": [6, 8, 35, 39, 54, 55, 61], "momentum": [6, 8, 14, 15, 36, 39], "_pt": 6, "plane": 6, "_pe": 6, "_px": 6, "_py": 6, "_pz": 6, "four": [6, 18, 25, 37, 42, 60, 61], "compon": [6, 14, 39, 42], "_ip": 6, "impact": [6, 10], "paramet": [6, 10, 14, 16, 54, 55, 56], "distanc": [6, 12, 39], "closest": 6, "approach": [6, 25, 26, 28, 60], "between": [6, 7, 8, 10, 11, 12, 14, 15, 20, 21, 23, 26, 27, 34, 38, 42, 44, 47, 55, 57, 58, 59, 60, 61], "reconstruct": [6, 16, 20, 32], "primari": 6, "vertex": 6, "probnnmu": 6, "probnnpi": 6, "identif": 6, "pion": [6, 42], "track": [6, 11, 17, 19, 21, 22, 23, 25, 26, 31, 32, 36, 37, 42, 55, 60, 62], "instal": [6, 10, 18, 27, 32, 39, 44, 47, 62], "github": [6, 7, 18, 23, 25, 26, 28, 29, 32, 62], "repos": 6, "tree": [6, 9, 10, 12, 16, 39, 55, 60], "class": [6, 7, 10, 13, 14, 16, 32, 34, 35, 43], "convert": [6, 14, 16, 32, 34, 42, 49, 54, 60], "varieti": [6, 10, 61], "datafram": [6, 7, 10, 14, 15, 16, 39, 40], "tabl": [6, 11, 18, 24, 26, 34, 56, 57], "root_numpi": 6, "root_panda": [6, 39, 44], "outdat": [6, 16], "grid": [6, 7, 8, 9, 10], "cern": [6, 7, 9, 10, 12, 18, 24, 25, 26, 27, 29, 31, 32, 39, 44, 47, 51, 52, 53, 55, 61, 62], "keep": [6, 7, 11, 12, 17, 19, 20, 21, 22, 23, 24, 25, 26, 29, 31, 32, 36, 37, 42, 44, 50, 51, 54, 55, 56, 57, 62], "local": [6, 12, 19, 20, 21, 23, 24, 26, 31, 39, 44, 55], "xrootd": 6, "protocol": [6, 23], "my_fil": [6, 39, 56], "eosus": 6, "ch": [6, 7, 9, 10, 12, 23, 24, 25, 26, 27, 39, 44, 47, 51, 52, 53, 55, 61, 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