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Contributions to the lessons are highly encouraged. Please see the [contributing guide][contributing] for details on how to participate. +{% callout "HSF Software Training" %} + +This training module is part of the [HSF Software Training Center](https://hepsoftwarefoundation.org/training/curriculum.html), +a series of training modules that serves HEP newcomers the software skills needed +as they enter the field, and in parallel, instill best practices for writing software. + +{% endcallout %} + ## Prerequisites There are two options for running these lessons. Running locally should be prefered on Linux and macOS as it is faster and makes it easier to save you work. On Windows it is likely easier to use Binder however care is needed to prevent notebooks being lost when the server is shut down. diff --git a/advanced-python/10Basics.html b/advanced-python/10Basics.html index e4508c49..e922b807 100644 --- a/advanced-python/10Basics.html +++ b/advanced-python/10Basics.html @@ -740,7 +740,7 @@

    Jupyter 
    ---2023-11-28 11:03:51--  https://example.com/index.html
+--2023-12-04 17:23:29--  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.
 HTTP request sent, awaiting response... 200 OK
@@ -749,7 +749,7 @@ 
    Jupyter
 
 index.html          100%[===================>]   1.23K  --.-KB/s    in 0s
 
-2023-11-28 11:03:51 (57.3 MB/s) - ‘index.html’ saved [1256/1256]
+2023-12-04 17:23:29 (70.3 MB/s) - ‘index.html’ saved [1256/1256]
    @@ -767,8 +767,8 @@

    Jupyter 
    -CPU times: user 497 µs, sys: 104 µs, total: 601 µs
-Wall time: 605 µs
+CPU times: user 721 µs, sys: 0 ns, total: 721 µs
+Wall time: 726 µs
    @@ -797,8 +797,8 @@

    Jupyter 

    -CPU times: user 1.31 ms, sys: 0 ns, total: 1.31 ms
-Wall time: 1.31 ms
+CPU times: user 1.37 ms, sys: 0 ns, total: 1.37 ms
+Wall time: 1.38 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 b5f68ddb..9031c1e7 100644 --- a/advanced-python/10Basics.ipynb +++ b/advanced-python/10Basics.ipynb @@ -58,10 +58,10 @@ "start_time": "2023-11-09T18:21:54.591214759Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.105711Z", - "iopub.status.busy": "2023-11-28T11:03:51.105552Z", - "iopub.status.idle": "2023-11-28T11:03:51.111063Z", - "shell.execute_reply": "2023-11-28T11:03:51.110547Z" + "iopub.execute_input": "2023-12-04T17:23:29.464798Z", + "iopub.status.busy": "2023-12-04T17:23:29.464628Z", + "iopub.status.idle": "2023-12-04T17:23:29.470428Z", + "shell.execute_reply": "2023-12-04T17:23:29.469889Z" } }, "outputs": [ @@ -92,10 +92,10 @@ "start_time": "2023-11-09T18:21:54.591634409Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.138154Z", - "iopub.status.busy": "2023-11-28T11:03:51.137785Z", - "iopub.status.idle": "2023-11-28T11:03:51.141016Z", - "shell.execute_reply": "2023-11-28T11:03:51.140597Z" + "iopub.execute_input": "2023-12-04T17:23:29.498990Z", + "iopub.status.busy": "2023-12-04T17:23:29.498558Z", + "iopub.status.idle": "2023-12-04T17:23:29.501809Z", + "shell.execute_reply": "2023-12-04T17:23:29.501275Z" } }, "outputs": [ @@ -126,10 +126,10 @@ "start_time": "2023-11-09T18:21:54.592201956Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.142800Z", - "iopub.status.busy": "2023-11-28T11:03:51.142481Z", - "iopub.status.idle": "2023-11-28T11:03:51.145429Z", - "shell.execute_reply": "2023-11-28T11:03:51.145033Z" + "iopub.execute_input": "2023-12-04T17:23:29.503652Z", + "iopub.status.busy": "2023-12-04T17:23:29.503491Z", + "iopub.status.idle": "2023-12-04T17:23:29.506581Z", + "shell.execute_reply": "2023-12-04T17:23:29.506082Z" } }, "outputs": [ @@ -168,10 +168,10 @@ "start_time": "2023-11-09T18:21:54.592801793Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.147377Z", - "iopub.status.busy": "2023-11-28T11:03:51.147050Z", - "iopub.status.idle": "2023-11-28T11:03:51.150180Z", - "shell.execute_reply": "2023-11-28T11:03:51.149749Z" + "iopub.execute_input": "2023-12-04T17:23:29.508425Z", + "iopub.status.busy": "2023-12-04T17:23:29.508146Z", + "iopub.status.idle": "2023-12-04T17:23:29.511277Z", + "shell.execute_reply": "2023-12-04T17:23:29.510776Z" } }, "outputs": [ @@ -208,10 +208,10 @@ "start_time": "2023-11-09T18:21:54.639862013Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.151950Z", - "iopub.status.busy": "2023-11-28T11:03:51.151796Z", - "iopub.status.idle": "2023-11-28T11:03:51.154454Z", - "shell.execute_reply": "2023-11-28T11:03:51.153999Z" + "iopub.execute_input": "2023-12-04T17:23:29.513142Z", + "iopub.status.busy": "2023-12-04T17:23:29.512796Z", + "iopub.status.idle": "2023-12-04T17:23:29.515776Z", + "shell.execute_reply": "2023-12-04T17:23:29.515274Z" } }, "outputs": [ @@ -237,10 +237,10 @@ "start_time": "2023-11-09T18:21:54.640208754Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.156306Z", - "iopub.status.busy": "2023-11-28T11:03:51.155950Z", - "iopub.status.idle": "2023-11-28T11:03:51.158809Z", - "shell.execute_reply": "2023-11-28T11:03:51.158384Z" + "iopub.execute_input": "2023-12-04T17:23:29.517771Z", + "iopub.status.busy": "2023-12-04T17:23:29.517341Z", + "iopub.status.idle": "2023-12-04T17:23:29.520272Z", + "shell.execute_reply": "2023-12-04T17:23:29.519768Z" } }, "outputs": [ @@ -325,10 +325,10 @@ "start_time": "2023-11-09T18:21:54.640684978Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.160513Z", - "iopub.status.busy": "2023-11-28T11:03:51.160362Z", - "iopub.status.idle": "2023-11-28T11:03:51.163282Z", - "shell.execute_reply": "2023-11-28T11:03:51.162886Z" + "iopub.execute_input": "2023-12-04T17:23:29.522283Z", + "iopub.status.busy": "2023-12-04T17:23:29.522020Z", + "iopub.status.idle": "2023-12-04T17:23:29.525056Z", + "shell.execute_reply": "2023-12-04T17:23:29.524629Z" } }, "outputs": [ @@ -374,10 +374,10 @@ "start_time": "2023-11-09T18:21:54.683193413Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.165090Z", - "iopub.status.busy": "2023-11-28T11:03:51.164801Z", - "iopub.status.idle": "2023-11-28T11:03:51.169599Z", - "shell.execute_reply": "2023-11-28T11:03:51.169100Z" + "iopub.execute_input": "2023-12-04T17:23:29.526920Z", + "iopub.status.busy": "2023-12-04T17:23:29.526618Z", + "iopub.status.idle": "2023-12-04T17:23:29.531514Z", + "shell.execute_reply": "2023-12-04T17:23:29.531061Z" } }, "outputs": [ @@ -405,10 +405,10 @@ "start_time": "2023-11-09T18:21:54.683507163Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.171445Z", - "iopub.status.busy": "2023-11-28T11:03:51.171093Z", - "iopub.status.idle": "2023-11-28T11:03:51.173442Z", - "shell.execute_reply": "2023-11-28T11:03:51.173017Z" + "iopub.execute_input": "2023-12-04T17:23:29.533369Z", + "iopub.status.busy": "2023-12-04T17:23:29.532995Z", + "iopub.status.idle": "2023-12-04T17:23:29.535448Z", + "shell.execute_reply": "2023-12-04T17:23:29.534953Z" } }, "outputs": [], @@ -432,10 +432,10 @@ "start_time": "2023-11-09T18:21:54.683700759Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.175211Z", - "iopub.status.busy": "2023-11-28T11:03:51.174931Z", - "iopub.status.idle": "2023-11-28T11:03:51.299593Z", - "shell.execute_reply": "2023-11-28T11:03:51.299070Z" + "iopub.execute_input": "2023-12-04T17:23:29.537568Z", + "iopub.status.busy": "2023-12-04T17:23:29.537070Z", + "iopub.status.idle": "2023-12-04T17:23:29.662558Z", + "shell.execute_reply": "2023-12-04T17:23:29.662011Z" } }, "outputs": [ @@ -466,10 +466,10 @@ "start_time": "2023-11-09T18:21:55.712286379Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.301874Z", - "iopub.status.busy": "2023-11-28T11:03:51.301695Z", - "iopub.status.idle": "2023-11-28T11:03:51.476168Z", - "shell.execute_reply": "2023-11-28T11:03:51.475568Z" + "iopub.execute_input": "2023-12-04T17:23:29.664978Z", + "iopub.status.busy": "2023-12-04T17:23:29.664764Z", + "iopub.status.idle": "2023-12-04T17:23:29.885845Z", + "shell.execute_reply": "2023-12-04T17:23:29.885134Z" } }, "outputs": [ @@ -477,17 +477,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "--2023-11-28 11:03:51-- https://example.com/index.html\r\n", + "--2023-12-04 17:23:29-- 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", - "HTTP request sent, awaiting response... " + "Connecting to example.com (example.com)|93.184.216.34|:443... connected.\r\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "200 OK\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", "\r\n", @@ -495,7 +494,7 @@ "index.html 0%[ ] 0 --.-KB/s \r", "index.html 100%[===================>] 1.23K --.-KB/s in 0s \r\n", "\r\n", - "2023-11-28 11:03:51 (57.3 MB/s) - ‘index.html’ saved [1256/1256]\r\n", + "2023-12-04 17:23:29 (70.3 MB/s) - ‘index.html’ saved [1256/1256]\r\n", "\r\n" ] } @@ -520,10 +519,10 @@ "start_time": "2023-11-09T18:21:57.194328587Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.478547Z", - "iopub.status.busy": "2023-11-28T11:03:51.478214Z", - "iopub.status.idle": "2023-11-28T11:03:51.483402Z", - "shell.execute_reply": "2023-11-28T11:03:51.482883Z" + "iopub.execute_input": "2023-12-04T17:23:29.888300Z", + "iopub.status.busy": "2023-12-04T17:23:29.888116Z", + "iopub.status.idle": "2023-12-04T17:23:29.894051Z", + "shell.execute_reply": "2023-12-04T17:23:29.893502Z" } }, "outputs": [ @@ -531,8 +530,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 497 µs, sys: 104 µs, total: 601 µs\n", - "Wall time: 605 µs\n" + "CPU times: user 721 µs, sys: 0 ns, total: 721 µs\n", + "Wall time: 726 µs\n" ] }, { @@ -566,10 +565,10 @@ "start_time": "2023-11-09T18:21:57.208320012Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.485199Z", - "iopub.status.busy": "2023-11-28T11:03:51.485041Z", - "iopub.status.idle": "2023-11-28T11:03:51.489766Z", - "shell.execute_reply": "2023-11-28T11:03:51.489288Z" + "iopub.execute_input": "2023-12-04T17:23:29.896282Z", + "iopub.status.busy": "2023-12-04T17:23:29.895934Z", + "iopub.status.idle": "2023-12-04T17:23:29.900857Z", + "shell.execute_reply": "2023-12-04T17:23:29.900375Z" } }, "outputs": [ @@ -577,8 +576,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 1.31 ms, sys: 0 ns, total: 1.31 ms\n", - "Wall time: 1.31 ms\n" + "CPU times: user 1.37 ms, sys: 0 ns, total: 1.37 ms\n", + "Wall time: 1.38 ms\n" ] } ], @@ -625,10 +624,10 @@ "start_time": "2023-11-09T18:21:57.263045210Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.491606Z", - "iopub.status.busy": "2023-11-28T11:03:51.491448Z", - "iopub.status.idle": "2023-11-28T11:03:51.493886Z", - "shell.execute_reply": "2023-11-28T11:03:51.493472Z" + "iopub.execute_input": "2023-12-04T17:23:29.902913Z", + "iopub.status.busy": "2023-12-04T17:23:29.902747Z", + "iopub.status.idle": "2023-12-04T17:23:29.905414Z", + "shell.execute_reply": "2023-12-04T17:23:29.904905Z" } }, "outputs": [], @@ -646,10 +645,10 @@ "start_time": "2023-11-09T18:21:57.263292639Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.495664Z", - "iopub.status.busy": "2023-11-28T11:03:51.495508Z", - "iopub.status.idle": "2023-11-28T11:03:51.521827Z", - "shell.execute_reply": "2023-11-28T11:03:51.521453Z" + "iopub.execute_input": "2023-12-04T17:23:29.907356Z", + "iopub.status.busy": "2023-12-04T17:23:29.907047Z", + "iopub.status.idle": "2023-12-04T17:23:29.937145Z", + "shell.execute_reply": "2023-12-04T17:23:29.936511Z" } }, "outputs": [], @@ -673,10 +672,10 @@ "start_time": "2023-11-09T18:21:57.541042260Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.523559Z", - "iopub.status.busy": "2023-11-28T11:03:51.523407Z", - "iopub.status.idle": "2023-11-28T11:03:51.527254Z", - "shell.execute_reply": "2023-11-28T11:03:51.526835Z" + "iopub.execute_input": "2023-12-04T17:23:29.939878Z", + "iopub.status.busy": "2023-12-04T17:23:29.939678Z", + "iopub.status.idle": "2023-12-04T17:23:29.943888Z", + "shell.execute_reply": "2023-12-04T17:23:29.943395Z" } }, "outputs": [], @@ -693,10 +692,10 @@ "start_time": "2023-11-09T18:21:57.552034854Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.528860Z", - "iopub.status.busy": "2023-11-28T11:03:51.528708Z", - "iopub.status.idle": "2023-11-28T11:03:51.532588Z", - "shell.execute_reply": "2023-11-28T11:03:51.532086Z" + "iopub.execute_input": "2023-12-04T17:23:29.945880Z", + "iopub.status.busy": "2023-12-04T17:23:29.945577Z", + "iopub.status.idle": "2023-12-04T17:23:29.949717Z", + "shell.execute_reply": "2023-12-04T17:23:29.949054Z" } }, "outputs": [], @@ -720,10 +719,10 @@ "start_time": "2023-11-09T18:21:57.647040419Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.534397Z", - "iopub.status.busy": "2023-11-28T11:03:51.534156Z", - "iopub.status.idle": "2023-11-28T11:03:51.537024Z", - "shell.execute_reply": "2023-11-28T11:03:51.536539Z" + "iopub.execute_input": "2023-12-04T17:23:29.951824Z", + "iopub.status.busy": "2023-12-04T17:23:29.951453Z", + "iopub.status.idle": "2023-12-04T17:23:29.954533Z", + "shell.execute_reply": "2023-12-04T17:23:29.953937Z" } }, "outputs": [ @@ -748,10 +747,10 @@ "start_time": "2023-11-09T18:21:57.695017046Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.538847Z", - "iopub.status.busy": "2023-11-28T11:03:51.538550Z", - "iopub.status.idle": "2023-11-28T11:03:51.541986Z", - "shell.execute_reply": "2023-11-28T11:03:51.541522Z" + "iopub.execute_input": "2023-12-04T17:23:29.956804Z", + "iopub.status.busy": "2023-12-04T17:23:29.956434Z", + "iopub.status.idle": "2023-12-04T17:23:29.961046Z", + "shell.execute_reply": "2023-12-04T17:23:29.960530Z" } }, "outputs": [ @@ -779,10 +778,10 @@ "start_time": "2023-11-09T18:21:57.695273312Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.543916Z", - "iopub.status.busy": "2023-11-28T11:03:51.543527Z", - "iopub.status.idle": "2023-11-28T11:03:51.546780Z", - "shell.execute_reply": "2023-11-28T11:03:51.546335Z" + "iopub.execute_input": "2023-12-04T17:23:29.963278Z", + "iopub.status.busy": "2023-12-04T17:23:29.962934Z", + "iopub.status.idle": "2023-12-04T17:23:29.967223Z", + "shell.execute_reply": "2023-12-04T17:23:29.966664Z" } }, "outputs": [], @@ -816,10 +815,10 @@ "start_time": "2023-11-09T18:21:57.695446136Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.548601Z", - "iopub.status.busy": "2023-11-28T11:03:51.548313Z", - "iopub.status.idle": "2023-11-28T11:03:51.551502Z", - "shell.execute_reply": "2023-11-28T11:03:51.551037Z" + "iopub.execute_input": "2023-12-04T17:23:29.969361Z", + "iopub.status.busy": "2023-12-04T17:23:29.969206Z", + "iopub.status.idle": "2023-12-04T17:23:29.973433Z", + "shell.execute_reply": "2023-12-04T17:23:29.973020Z" } }, "outputs": [ @@ -847,10 +846,10 @@ "start_time": "2023-11-09T18:21:57.695622001Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.553192Z", - "iopub.status.busy": "2023-11-28T11:03:51.553031Z", - "iopub.status.idle": "2023-11-28T11:03:51.792450Z", - "shell.execute_reply": "2023-11-28T11:03:51.792010Z" + "iopub.execute_input": "2023-12-04T17:23:29.975309Z", + "iopub.status.busy": "2023-12-04T17:23:29.975033Z", + "iopub.status.idle": "2023-12-04T17:23:30.227309Z", + "shell.execute_reply": "2023-12-04T17:23:30.226851Z" }, "tags": [ "raises-exception" @@ -892,10 +891,10 @@ "start_time": "2023-11-09T18:21:58.564441476Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.794434Z", - "iopub.status.busy": "2023-11-28T11:03:51.794265Z", - "iopub.status.idle": "2023-11-28T11:03:51.797995Z", - "shell.execute_reply": "2023-11-28T11:03:51.797577Z" + "iopub.execute_input": "2023-12-04T17:23:30.229281Z", + "iopub.status.busy": "2023-12-04T17:23:30.229125Z", + "iopub.status.idle": "2023-12-04T17:23:30.232837Z", + "shell.execute_reply": "2023-12-04T17:23:30.232424Z" } }, "outputs": [ @@ -944,10 +943,10 @@ "start_time": "2023-11-09T18:21:58.606952947Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:51.799710Z", - "iopub.status.busy": "2023-11-28T11:03:51.799550Z", - "iopub.status.idle": "2023-11-28T11:03:51.818074Z", - "shell.execute_reply": "2023-11-28T11:03:51.817649Z" + "iopub.execute_input": "2023-12-04T17:23:30.234856Z", + "iopub.status.busy": "2023-12-04T17:23:30.234540Z", + "iopub.status.idle": "2023-12-04T17:23:30.253499Z", + "shell.execute_reply": "2023-12-04T17:23:30.253053Z" }, "tags": [ "raises-exception" diff --git a/advanced-python/11AdvancedPython.html b/advanced-python/11AdvancedPython.html index 12b32869..51194735 100644 --- a/advanced-python/11AdvancedPython.html +++ b/advanced-python/11AdvancedPython.html @@ -953,7 +953,7 @@

    Decorators and factories
     ()
 {'y': 4, 'x': 5}
-time needed: 1.430511474609375e-06
+time needed: 9.5367431640625e-07
    diff --git a/advanced-python/11AdvancedPython.ipynb b/advanced-python/11AdvancedPython.ipynb index 6ba63502..0bdf768b 100644 --- a/advanced-python/11AdvancedPython.ipynb +++ b/advanced-python/11AdvancedPython.ipynb @@ -23,10 +23,10 @@ "start_time": "2023-11-09T18:21:57.475130307Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.724544Z", - "iopub.status.busy": "2023-11-28T11:03:53.724384Z", - "iopub.status.idle": "2023-11-28T11:03:53.729154Z", - "shell.execute_reply": "2023-11-28T11:03:53.728758Z" + "iopub.execute_input": "2023-12-04T17:23:32.200906Z", + "iopub.status.busy": "2023-12-04T17:23:32.200733Z", + "iopub.status.idle": "2023-12-04T17:23:32.208061Z", + "shell.execute_reply": "2023-12-04T17:23:32.207547Z" } }, "outputs": [], @@ -54,10 +54,10 @@ "start_time": "2023-11-09T18:21:57.475439183Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.730963Z", - "iopub.status.busy": "2023-11-28T11:03:53.730804Z", - "iopub.status.idle": "2023-11-28T11:03:53.733413Z", - "shell.execute_reply": "2023-11-28T11:03:53.732924Z" + "iopub.execute_input": "2023-12-04T17:23:32.209910Z", + "iopub.status.busy": "2023-12-04T17:23:32.209745Z", + "iopub.status.idle": "2023-12-04T17:23:32.212268Z", + "shell.execute_reply": "2023-12-04T17:23:32.211836Z" } }, "outputs": [], @@ -74,10 +74,10 @@ "start_time": "2023-11-09T18:21:57.475730863Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.735200Z", - "iopub.status.busy": "2023-11-28T11:03:53.734904Z", - "iopub.status.idle": "2023-11-28T11:03:53.739549Z", - "shell.execute_reply": "2023-11-28T11:03:53.739078Z" + "iopub.execute_input": "2023-12-04T17:23:32.214262Z", + "iopub.status.busy": "2023-12-04T17:23:32.214081Z", + "iopub.status.idle": "2023-12-04T17:23:32.218892Z", + "shell.execute_reply": "2023-12-04T17:23:32.218398Z" } }, "outputs": [ @@ -112,10 +112,10 @@ "start_time": "2023-11-09T18:21:57.476020895Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.741411Z", - "iopub.status.busy": "2023-11-28T11:03:53.741059Z", - "iopub.status.idle": "2023-11-28T11:03:53.743467Z", - "shell.execute_reply": "2023-11-28T11:03:53.743069Z" + "iopub.execute_input": "2023-12-04T17:23:32.220578Z", + "iopub.status.busy": "2023-12-04T17:23:32.220435Z", + "iopub.status.idle": "2023-12-04T17:23:32.222794Z", + "shell.execute_reply": "2023-12-04T17:23:32.222412Z" } }, "outputs": [], @@ -132,10 +132,10 @@ "start_time": "2023-11-09T18:21:57.476279441Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.745288Z", - "iopub.status.busy": "2023-11-28T11:03:53.744980Z", - "iopub.status.idle": "2023-11-28T11:03:53.747989Z", - "shell.execute_reply": "2023-11-28T11:03:53.747616Z" + "iopub.execute_input": "2023-12-04T17:23:32.224617Z", + "iopub.status.busy": "2023-12-04T17:23:32.224322Z", + "iopub.status.idle": "2023-12-04T17:23:32.227307Z", + "shell.execute_reply": "2023-12-04T17:23:32.226935Z" } }, "outputs": [ @@ -170,10 +170,10 @@ "start_time": "2023-11-09T18:21:57.476626713Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.749879Z", - "iopub.status.busy": "2023-11-28T11:03:53.749581Z", - "iopub.status.idle": "2023-11-28T11:03:53.751945Z", - "shell.execute_reply": "2023-11-28T11:03:53.751534Z" + "iopub.execute_input": "2023-12-04T17:23:32.229125Z", + "iopub.status.busy": "2023-12-04T17:23:32.228827Z", + "iopub.status.idle": "2023-12-04T17:23:32.231235Z", + "shell.execute_reply": "2023-12-04T17:23:32.230757Z" } }, "outputs": [], @@ -197,10 +197,10 @@ "start_time": "2023-11-09T18:21:57.519751245Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.753563Z", - "iopub.status.busy": "2023-11-28T11:03:53.753420Z", - "iopub.status.idle": "2023-11-28T11:03:53.755687Z", - "shell.execute_reply": "2023-11-28T11:03:53.755314Z" + "iopub.execute_input": "2023-12-04T17:23:32.233099Z", + "iopub.status.busy": "2023-12-04T17:23:32.232824Z", + "iopub.status.idle": "2023-12-04T17:23:32.235341Z", + "shell.execute_reply": "2023-12-04T17:23:32.234849Z" } }, "outputs": [], @@ -224,10 +224,10 @@ "start_time": "2023-11-09T18:21:57.519943991Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.757433Z", - "iopub.status.busy": "2023-11-28T11:03:53.757131Z", - "iopub.status.idle": "2023-11-28T11:03:53.759581Z", - "shell.execute_reply": "2023-11-28T11:03:53.759158Z" + "iopub.execute_input": "2023-12-04T17:23:32.236980Z", + "iopub.status.busy": "2023-12-04T17:23:32.236835Z", + "iopub.status.idle": "2023-12-04T17:23:32.239442Z", + "shell.execute_reply": "2023-12-04T17:23:32.239018Z" } }, "outputs": [], @@ -246,10 +246,10 @@ "start_time": "2023-11-09T18:21:57.520119691Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.761380Z", - "iopub.status.busy": "2023-11-28T11:03:53.761090Z", - "iopub.status.idle": "2023-11-28T11:03:53.764005Z", - "shell.execute_reply": "2023-11-28T11:03:53.763530Z" + "iopub.execute_input": "2023-12-04T17:23:32.241130Z", + "iopub.status.busy": "2023-12-04T17:23:32.240857Z", + "iopub.status.idle": "2023-12-04T17:23:32.244637Z", + "shell.execute_reply": "2023-12-04T17:23:32.244231Z" } }, "outputs": [ @@ -277,10 +277,10 @@ "start_time": "2023-11-09T18:21:57.520366676Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.765847Z", - "iopub.status.busy": "2023-11-28T11:03:53.765572Z", - "iopub.status.idle": "2023-11-28T11:03:53.768290Z", - "shell.execute_reply": "2023-11-28T11:03:53.767792Z" + "iopub.execute_input": "2023-12-04T17:23:32.246591Z", + "iopub.status.busy": "2023-12-04T17:23:32.246310Z", + "iopub.status.idle": "2023-12-04T17:23:32.249024Z", + "shell.execute_reply": "2023-12-04T17:23:32.248632Z" } }, "outputs": [ @@ -306,10 +306,10 @@ "start_time": "2023-11-09T18:21:57.520883499Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.770106Z", - "iopub.status.busy": "2023-11-28T11:03:53.769864Z", - "iopub.status.idle": "2023-11-28T11:03:53.772145Z", - "shell.execute_reply": "2023-11-28T11:03:53.771652Z" + "iopub.execute_input": "2023-12-04T17:23:32.250876Z", + "iopub.status.busy": "2023-12-04T17:23:32.250587Z", + "iopub.status.idle": "2023-12-04T17:23:32.252790Z", + "shell.execute_reply": "2023-12-04T17:23:32.252401Z" } }, "outputs": [], @@ -360,10 +360,10 @@ "start_time": "2023-11-09T18:21:57.563095740Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.773837Z", - "iopub.status.busy": "2023-11-28T11:03:53.773684Z", - "iopub.status.idle": "2023-11-28T11:03:53.776331Z", - "shell.execute_reply": "2023-11-28T11:03:53.775853Z" + "iopub.execute_input": "2023-12-04T17:23:32.254512Z", + "iopub.status.busy": "2023-12-04T17:23:32.254247Z", + "iopub.status.idle": "2023-12-04T17:23:32.256918Z", + "shell.execute_reply": "2023-12-04T17:23:32.256441Z" } }, "outputs": [], @@ -387,10 +387,10 @@ "start_time": "2023-11-09T18:21:57.563347017Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.777952Z", - "iopub.status.busy": "2023-11-28T11:03:53.777798Z", - "iopub.status.idle": "2023-11-28T11:03:53.780425Z", - "shell.execute_reply": "2023-11-28T11:03:53.779971Z" + "iopub.execute_input": "2023-12-04T17:23:32.258883Z", + "iopub.status.busy": "2023-12-04T17:23:32.258528Z", + "iopub.status.idle": "2023-12-04T17:23:32.261524Z", + "shell.execute_reply": "2023-12-04T17:23:32.261024Z" } }, "outputs": [ @@ -429,10 +429,10 @@ "start_time": "2023-11-09T18:21:57.563714577Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.782083Z", - "iopub.status.busy": "2023-11-28T11:03:53.781930Z", - "iopub.status.idle": "2023-11-28T11:03:53.784543Z", - "shell.execute_reply": "2023-11-28T11:03:53.784168Z" + "iopub.execute_input": "2023-12-04T17:23:32.263674Z", + "iopub.status.busy": "2023-12-04T17:23:32.263278Z", + "iopub.status.idle": "2023-12-04T17:23:32.266246Z", + "shell.execute_reply": "2023-12-04T17:23:32.265821Z" } }, "outputs": [], @@ -457,10 +457,10 @@ "start_time": "2023-11-09T18:21:57.563857095Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.786147Z", - "iopub.status.busy": "2023-11-28T11:03:53.786012Z", - "iopub.status.idle": "2023-11-28T11:03:53.788497Z", - "shell.execute_reply": "2023-11-28T11:03:53.788128Z" + "iopub.execute_input": "2023-12-04T17:23:32.268043Z", + "iopub.status.busy": "2023-12-04T17:23:32.267779Z", + "iopub.status.idle": "2023-12-04T17:23:32.270610Z", + "shell.execute_reply": "2023-12-04T17:23:32.270073Z" } }, "outputs": [], @@ -491,10 +491,10 @@ "start_time": "2023-11-09T18:21:57.569931680Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.790123Z", - "iopub.status.busy": "2023-11-28T11:03:53.789985Z", - "iopub.status.idle": "2023-11-28T11:03:53.792183Z", - "shell.execute_reply": "2023-11-28T11:03:53.791808Z" + "iopub.execute_input": "2023-12-04T17:23:32.272240Z", + "iopub.status.busy": "2023-12-04T17:23:32.272093Z", + "iopub.status.idle": "2023-12-04T17:23:32.274483Z", + "shell.execute_reply": "2023-12-04T17:23:32.274090Z" } }, "outputs": [], @@ -524,10 +524,10 @@ "start_time": "2023-11-09T18:21:57.611213702Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.793848Z", - "iopub.status.busy": "2023-11-28T11:03:53.793710Z", - "iopub.status.idle": "2023-11-28T11:03:53.796753Z", - "shell.execute_reply": "2023-11-28T11:03:53.796339Z" + "iopub.execute_input": "2023-12-04T17:23:32.276054Z", + "iopub.status.busy": "2023-12-04T17:23:32.275910Z", + "iopub.status.idle": "2023-12-04T17:23:32.278994Z", + "shell.execute_reply": "2023-12-04T17:23:32.278600Z" } }, "outputs": [ @@ -561,10 +561,10 @@ "start_time": "2023-11-09T18:21:57.611718752Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.798367Z", - "iopub.status.busy": "2023-11-28T11:03:53.798232Z", - "iopub.status.idle": "2023-11-28T11:03:53.800696Z", - "shell.execute_reply": "2023-11-28T11:03:53.800295Z" + "iopub.execute_input": "2023-12-04T17:23:32.280766Z", + "iopub.status.busy": "2023-12-04T17:23:32.280476Z", + "iopub.status.idle": "2023-12-04T17:23:32.283138Z", + "shell.execute_reply": "2023-12-04T17:23:32.282736Z" } }, "outputs": [], @@ -595,10 +595,10 @@ "start_time": "2023-11-09T18:21:57.611948597Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.802375Z", - "iopub.status.busy": "2023-11-28T11:03:53.802216Z", - "iopub.status.idle": "2023-11-28T11:03:53.805228Z", - "shell.execute_reply": "2023-11-28T11:03:53.804836Z" + "iopub.execute_input": "2023-12-04T17:23:32.284933Z", + "iopub.status.busy": "2023-12-04T17:23:32.284651Z", + "iopub.status.idle": "2023-12-04T17:23:32.287690Z", + "shell.execute_reply": "2023-12-04T17:23:32.287296Z" } }, "outputs": [], @@ -627,10 +627,10 @@ "start_time": "2023-11-09T18:21:57.612144179Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.806857Z", - "iopub.status.busy": "2023-11-28T11:03:53.806715Z", - "iopub.status.idle": "2023-11-28T11:03:53.809390Z", - "shell.execute_reply": "2023-11-28T11:03:53.808989Z" + "iopub.execute_input": "2023-12-04T17:23:32.289463Z", + "iopub.status.busy": "2023-12-04T17:23:32.289174Z", + "iopub.status.idle": "2023-12-04T17:23:32.291978Z", + "shell.execute_reply": "2023-12-04T17:23:32.291498Z" } }, "outputs": [ @@ -674,10 +674,10 @@ "start_time": "2023-11-09T18:21:57.659281779Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.811133Z", - "iopub.status.busy": "2023-11-28T11:03:53.810853Z", - "iopub.status.idle": "2023-11-28T11:03:53.813354Z", - "shell.execute_reply": "2023-11-28T11:03:53.812877Z" + "iopub.execute_input": "2023-12-04T17:23:32.294009Z", + "iopub.status.busy": "2023-12-04T17:23:32.293568Z", + "iopub.status.idle": "2023-12-04T17:23:32.296214Z", + "shell.execute_reply": "2023-12-04T17:23:32.295727Z" } }, "outputs": [], @@ -697,10 +697,10 @@ "start_time": "2023-11-09T18:21:57.659526538Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.815262Z", - "iopub.status.busy": "2023-11-28T11:03:53.814965Z", - "iopub.status.idle": "2023-11-28T11:03:53.817263Z", - "shell.execute_reply": "2023-11-28T11:03:53.816868Z" + "iopub.execute_input": "2023-12-04T17:23:32.297961Z", + "iopub.status.busy": "2023-12-04T17:23:32.297821Z", + "iopub.status.idle": "2023-12-04T17:23:32.300141Z", + "shell.execute_reply": "2023-12-04T17:23:32.299750Z" } }, "outputs": [], @@ -717,10 +717,10 @@ "start_time": "2023-11-09T18:21:57.659712907Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.818845Z", - "iopub.status.busy": "2023-11-28T11:03:53.818706Z", - "iopub.status.idle": "2023-11-28T11:03:53.821761Z", - "shell.execute_reply": "2023-11-28T11:03:53.821322Z" + "iopub.execute_input": "2023-12-04T17:23:32.301715Z", + "iopub.status.busy": "2023-12-04T17:23:32.301563Z", + "iopub.status.idle": "2023-12-04T17:23:32.304761Z", + "shell.execute_reply": "2023-12-04T17:23:32.304374Z" } }, "outputs": [ @@ -748,10 +748,10 @@ "start_time": "2023-11-09T18:21:57.659911070Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.823393Z", - "iopub.status.busy": "2023-11-28T11:03:53.823253Z", - "iopub.status.idle": "2023-11-28T11:03:53.825631Z", - "shell.execute_reply": "2023-11-28T11:03:53.825242Z" + "iopub.execute_input": "2023-12-04T17:23:32.306447Z", + "iopub.status.busy": "2023-12-04T17:23:32.306198Z", + "iopub.status.idle": "2023-12-04T17:23:32.308747Z", + "shell.execute_reply": "2023-12-04T17:23:32.308282Z" } }, "outputs": [], @@ -772,10 +772,10 @@ "start_time": "2023-11-09T18:21:57.660055943Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.827335Z", - "iopub.status.busy": "2023-11-28T11:03:53.827057Z", - "iopub.status.idle": "2023-11-28T11:03:53.829474Z", - "shell.execute_reply": "2023-11-28T11:03:53.828979Z" + "iopub.execute_input": "2023-12-04T17:23:32.310584Z", + "iopub.status.busy": "2023-12-04T17:23:32.310183Z", + "iopub.status.idle": "2023-12-04T17:23:32.312640Z", + "shell.execute_reply": "2023-12-04T17:23:32.312176Z" } }, "outputs": [], @@ -792,10 +792,10 @@ "start_time": "2023-11-09T18:21:57.707103066Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.831115Z", - "iopub.status.busy": "2023-11-28T11:03:53.830976Z", - "iopub.status.idle": "2023-11-28T11:03:53.834009Z", - "shell.execute_reply": "2023-11-28T11:03:53.833562Z" + "iopub.execute_input": "2023-12-04T17:23:32.314457Z", + "iopub.status.busy": "2023-12-04T17:23:32.314090Z", + "iopub.status.idle": "2023-12-04T17:23:32.317301Z", + "shell.execute_reply": "2023-12-04T17:23:32.316833Z" } }, "outputs": [ @@ -823,10 +823,10 @@ "start_time": "2023-11-09T18:21:57.707383203Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.835620Z", - "iopub.status.busy": "2023-11-28T11:03:53.835480Z", - "iopub.status.idle": "2023-11-28T11:03:53.837678Z", - "shell.execute_reply": "2023-11-28T11:03:53.837289Z" + "iopub.execute_input": "2023-12-04T17:23:32.318963Z", + "iopub.status.busy": "2023-12-04T17:23:32.318828Z", + "iopub.status.idle": "2023-12-04T17:23:32.320879Z", + "shell.execute_reply": "2023-12-04T17:23:32.320509Z" } }, "outputs": [], @@ -870,10 +870,10 @@ "start_time": "2023-11-09T18:21:57.714163427Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.839327Z", - "iopub.status.busy": "2023-11-28T11:03:53.839190Z", - "iopub.status.idle": "2023-11-28T11:03:53.841892Z", - "shell.execute_reply": "2023-11-28T11:03:53.841534Z" + "iopub.execute_input": "2023-12-04T17:23:32.322794Z", + "iopub.status.busy": "2023-12-04T17:23:32.322500Z", + "iopub.status.idle": "2023-12-04T17:23:32.325416Z", + "shell.execute_reply": "2023-12-04T17:23:32.325016Z" } }, "outputs": [], @@ -899,10 +899,10 @@ "start_time": "2023-11-09T18:21:57.755158988Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.843604Z", - "iopub.status.busy": "2023-11-28T11:03:53.843462Z", - "iopub.status.idle": "2023-11-28T11:03:53.846235Z", - "shell.execute_reply": "2023-11-28T11:03:53.845861Z" + "iopub.execute_input": "2023-12-04T17:23:32.327005Z", + "iopub.status.busy": "2023-12-04T17:23:32.326859Z", + "iopub.status.idle": "2023-12-04T17:23:32.329059Z", + "shell.execute_reply": "2023-12-04T17:23:32.328696Z" } }, "outputs": [], @@ -920,10 +920,10 @@ "start_time": "2023-11-09T18:21:57.755389720Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.847923Z", - "iopub.status.busy": "2023-11-28T11:03:53.847781Z", - "iopub.status.idle": "2023-11-28T11:03:53.850182Z", - "shell.execute_reply": "2023-11-28T11:03:53.849645Z" + "iopub.execute_input": "2023-12-04T17:23:32.330887Z", + "iopub.status.busy": "2023-12-04T17:23:32.330597Z", + "iopub.status.idle": "2023-12-04T17:23:32.332889Z", + "shell.execute_reply": "2023-12-04T17:23:32.332502Z" } }, "outputs": [], @@ -940,10 +940,10 @@ "start_time": "2023-11-09T18:21:57.755554232Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.852062Z", - "iopub.status.busy": "2023-11-28T11:03:53.851777Z", - "iopub.status.idle": "2023-11-28T11:03:53.854021Z", - "shell.execute_reply": "2023-11-28T11:03:53.853630Z" + "iopub.execute_input": "2023-12-04T17:23:32.334498Z", + "iopub.status.busy": "2023-12-04T17:23:32.334359Z", + "iopub.status.idle": "2023-12-04T17:23:32.336471Z", + "shell.execute_reply": "2023-12-04T17:23:32.336101Z" } }, "outputs": [], @@ -960,10 +960,10 @@ "start_time": "2023-11-09T18:21:57.755705542Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.855764Z", - "iopub.status.busy": "2023-11-28T11:03:53.855477Z", - "iopub.status.idle": "2023-11-28T11:03:53.858184Z", - "shell.execute_reply": "2023-11-28T11:03:53.857694Z" + "iopub.execute_input": "2023-12-04T17:23:32.338162Z", + "iopub.status.busy": "2023-12-04T17:23:32.338004Z", + "iopub.status.idle": "2023-12-04T17:23:32.340562Z", + "shell.execute_reply": "2023-12-04T17:23:32.340119Z" } }, "outputs": [ @@ -973,7 +973,7 @@ "text": [ "()\n", "{'y': 4, 'x': 5}\n", - "time needed: 1.430511474609375e-06\n" + "time needed: 9.5367431640625e-07\n" ] } ], @@ -990,10 +990,10 @@ "start_time": "2023-11-09T18:21:57.756004166Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.860092Z", - "iopub.status.busy": "2023-11-28T11:03:53.859794Z", - "iopub.status.idle": "2023-11-28T11:03:53.862049Z", - "shell.execute_reply": "2023-11-28T11:03:53.861572Z" + "iopub.execute_input": "2023-12-04T17:23:32.342190Z", + "iopub.status.busy": "2023-12-04T17:23:32.342038Z", + "iopub.status.idle": "2023-12-04T17:23:32.344107Z", + "shell.execute_reply": "2023-12-04T17:23:32.343739Z" } }, "outputs": [], @@ -1019,10 +1019,10 @@ "start_time": "2023-11-09T18:21:57.756157832Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.863994Z", - "iopub.status.busy": "2023-11-28T11:03:53.863638Z", - "iopub.status.idle": "2023-11-28T11:03:53.866063Z", - "shell.execute_reply": "2023-11-28T11:03:53.865609Z" + "iopub.execute_input": "2023-12-04T17:23:32.345725Z", + "iopub.status.busy": "2023-12-04T17:23:32.345534Z", + "iopub.status.idle": "2023-12-04T17:23:32.347949Z", + "shell.execute_reply": "2023-12-04T17:23:32.347556Z" } }, "outputs": [], @@ -1066,10 +1066,10 @@ "start_time": "2023-11-09T18:21:57.803005602Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.867796Z", - "iopub.status.busy": "2023-11-28T11:03:53.867653Z", - "iopub.status.idle": "2023-11-28T11:03:53.988288Z", - "shell.execute_reply": "2023-11-28T11:03:53.987827Z" + "iopub.execute_input": "2023-12-04T17:23:32.349569Z", + "iopub.status.busy": "2023-12-04T17:23:32.349434Z", + "iopub.status.idle": "2023-12-04T17:23:32.472903Z", + "shell.execute_reply": "2023-12-04T17:23:32.472407Z" }, "tags": [ "raises-exception" @@ -1107,10 +1107,10 @@ "start_time": "2023-11-09T18:21:58.751370683Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:53.990251Z", - "iopub.status.busy": "2023-11-28T11:03:53.990089Z", - "iopub.status.idle": "2023-11-28T11:03:53.999660Z", - "shell.execute_reply": "2023-11-28T11:03:53.999159Z" + "iopub.execute_input": "2023-12-04T17:23:32.474827Z", + "iopub.status.busy": "2023-12-04T17:23:32.474673Z", + "iopub.status.idle": "2023-12-04T17:23:32.484482Z", + "shell.execute_reply": "2023-12-04T17:23:32.484085Z" }, "tags": [ "raises-exception" @@ -1156,10 +1156,10 @@ "start_time": "2023-11-09T18:21:58.795021637Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.001543Z", - "iopub.status.busy": "2023-11-28T11:03:54.001377Z", - "iopub.status.idle": "2023-11-28T11:03:54.003886Z", - "shell.execute_reply": "2023-11-28T11:03:54.003405Z" + "iopub.execute_input": "2023-12-04T17:23:32.486270Z", + "iopub.status.busy": "2023-12-04T17:23:32.486126Z", + "iopub.status.idle": "2023-12-04T17:23:32.488425Z", + "shell.execute_reply": "2023-12-04T17:23:32.488041Z" } }, "outputs": [], @@ -1176,10 +1176,10 @@ "start_time": "2023-11-09T18:21:58.795152334Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.005745Z", - "iopub.status.busy": "2023-11-28T11:03:54.005459Z", - "iopub.status.idle": "2023-11-28T11:03:54.015532Z", - "shell.execute_reply": "2023-11-28T11:03:54.015117Z" + "iopub.execute_input": "2023-12-04T17:23:32.490277Z", + "iopub.status.busy": "2023-12-04T17:23:32.489980Z", + "iopub.status.idle": "2023-12-04T17:23:32.499594Z", + "shell.execute_reply": "2023-12-04T17:23:32.499196Z" }, "tags": [ "raises-exception" @@ -1221,10 +1221,10 @@ "start_time": "2023-11-09T18:21:58.795308728Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.017534Z", - "iopub.status.busy": "2023-11-28T11:03:54.017228Z", - "iopub.status.idle": "2023-11-28T11:03:54.019939Z", - "shell.execute_reply": "2023-11-28T11:03:54.019362Z" + "iopub.execute_input": "2023-12-04T17:23:32.501346Z", + "iopub.status.busy": "2023-12-04T17:23:32.501072Z", + "iopub.status.idle": "2023-12-04T17:23:32.503453Z", + "shell.execute_reply": "2023-12-04T17:23:32.502998Z" } }, "outputs": [], @@ -1258,10 +1258,10 @@ "start_time": "2023-11-09T18:21:58.795410621Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.021872Z", - "iopub.status.busy": "2023-11-28T11:03:54.021574Z", - "iopub.status.idle": "2023-11-28T11:03:54.024951Z", - "shell.execute_reply": "2023-11-28T11:03:54.024445Z" + "iopub.execute_input": "2023-12-04T17:23:32.505248Z", + "iopub.status.busy": "2023-12-04T17:23:32.504967Z", + "iopub.status.idle": "2023-12-04T17:23:32.507864Z", + "shell.execute_reply": "2023-12-04T17:23:32.507389Z" } }, "outputs": [ @@ -1310,10 +1310,10 @@ "start_time": "2023-11-09T18:21:58.795520523Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.026843Z", - "iopub.status.busy": "2023-11-28T11:03:54.026520Z", - "iopub.status.idle": "2023-11-28T11:03:54.029036Z", - "shell.execute_reply": "2023-11-28T11:03:54.028511Z" + "iopub.execute_input": "2023-12-04T17:23:32.509818Z", + "iopub.status.busy": "2023-12-04T17:23:32.509452Z", + "iopub.status.idle": "2023-12-04T17:23:32.511838Z", + "shell.execute_reply": "2023-12-04T17:23:32.511453Z" } }, "outputs": [], @@ -1333,10 +1333,10 @@ "start_time": "2023-11-09T18:21:58.795603420Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.031175Z", - "iopub.status.busy": "2023-11-28T11:03:54.030874Z", - "iopub.status.idle": "2023-11-28T11:03:54.044503Z", - "shell.execute_reply": "2023-11-28T11:03:54.044016Z" + "iopub.execute_input": "2023-12-04T17:23:32.513522Z", + "iopub.status.busy": "2023-12-04T17:23:32.513366Z", + "iopub.status.idle": "2023-12-04T17:23:32.525853Z", + "shell.execute_reply": "2023-12-04T17:23:32.525347Z" }, "tags": [ "raises-exception" @@ -1391,10 +1391,10 @@ "start_time": "2023-11-09T18:21:58.795680122Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.046546Z", - "iopub.status.busy": "2023-11-28T11:03:54.046244Z", - "iopub.status.idle": "2023-11-28T11:03:54.050433Z", - "shell.execute_reply": "2023-11-28T11:03:54.049586Z" + "iopub.execute_input": "2023-12-04T17:23:32.527617Z", + "iopub.status.busy": "2023-12-04T17:23:32.527465Z", + "iopub.status.idle": "2023-12-04T17:23:32.530684Z", + "shell.execute_reply": "2023-12-04T17:23:32.530276Z" }, "pycharm": { "name": "#%%\n" @@ -1442,10 +1442,10 @@ "start_time": "2023-11-09T18:21:58.795985110Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.052563Z", - "iopub.status.busy": "2023-11-28T11:03:54.052375Z", - "iopub.status.idle": "2023-11-28T11:03:54.064401Z", - "shell.execute_reply": "2023-11-28T11:03:54.063870Z" + "iopub.execute_input": "2023-12-04T17:23:32.532435Z", + "iopub.status.busy": "2023-12-04T17:23:32.532281Z", + "iopub.status.idle": "2023-12-04T17:23:32.543825Z", + "shell.execute_reply": "2023-12-04T17:23:32.543341Z" }, "pycharm": { "name": "#%%\n" @@ -1505,10 +1505,10 @@ "start_time": "2023-11-09T18:21:58.796186073Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.066608Z", - "iopub.status.busy": "2023-11-28T11:03:54.066243Z", - "iopub.status.idle": "2023-11-28T11:03:54.080558Z", - "shell.execute_reply": "2023-11-28T11:03:54.080058Z" + "iopub.execute_input": "2023-12-04T17:23:32.545555Z", + "iopub.status.busy": "2023-12-04T17:23:32.545397Z", + "iopub.status.idle": "2023-12-04T17:23:32.554791Z", + "shell.execute_reply": "2023-12-04T17:23:32.554311Z" }, "pycharm": { "name": "#%%\n" @@ -1561,10 +1561,10 @@ "start_time": "2023-11-09T18:21:58.796374250Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.082866Z", - "iopub.status.busy": "2023-11-28T11:03:54.082674Z", - "iopub.status.idle": "2023-11-28T11:03:54.085939Z", - "shell.execute_reply": "2023-11-28T11:03:54.085446Z" + "iopub.execute_input": "2023-12-04T17:23:32.556587Z", + "iopub.status.busy": "2023-12-04T17:23:32.556429Z", + "iopub.status.idle": "2023-12-04T17:23:32.559573Z", + "shell.execute_reply": "2023-12-04T17:23:32.559169Z" }, "pycharm": { "name": "#%%\n" @@ -1595,10 +1595,10 @@ "start_time": "2023-11-09T18:21:58.796560001Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.087914Z", - "iopub.status.busy": "2023-11-28T11:03:54.087694Z", - "iopub.status.idle": "2023-11-28T11:03:54.091506Z", - "shell.execute_reply": "2023-11-28T11:03:54.090983Z" + "iopub.execute_input": "2023-12-04T17:23:32.561149Z", + "iopub.status.busy": "2023-12-04T17:23:32.560999Z", + "iopub.status.idle": "2023-12-04T17:23:32.564524Z", + "shell.execute_reply": "2023-12-04T17:23:32.564077Z" }, "pycharm": { "name": "#%%\n" @@ -1650,10 +1650,10 @@ "start_time": "2023-11-09T18:21:58.796721888Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.093388Z", - "iopub.status.busy": "2023-11-28T11:03:54.093083Z", - "iopub.status.idle": "2023-11-28T11:03:54.095568Z", - "shell.execute_reply": "2023-11-28T11:03:54.095182Z" + "iopub.execute_input": "2023-12-04T17:23:32.566175Z", + "iopub.status.busy": "2023-12-04T17:23:32.566021Z", + "iopub.status.idle": "2023-12-04T17:23:32.568576Z", + "shell.execute_reply": "2023-12-04T17:23:32.568182Z" }, "pycharm": { "name": "#%%\n" @@ -1675,10 +1675,10 @@ "start_time": "2023-11-09T18:21:58.796792565Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.097253Z", - "iopub.status.busy": "2023-11-28T11:03:54.097022Z", - "iopub.status.idle": "2023-11-28T11:03:54.111175Z", - "shell.execute_reply": "2023-11-28T11:03:54.110782Z" + "iopub.execute_input": "2023-12-04T17:23:32.570171Z", + "iopub.status.busy": "2023-12-04T17:23:32.570021Z", + "iopub.status.idle": "2023-12-04T17:23:32.584324Z", + "shell.execute_reply": "2023-12-04T17:23:32.583906Z" }, "pycharm": { "name": "#%%\n" @@ -1713,10 +1713,10 @@ "start_time": "2023-11-09T18:21:58.796936035Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:54.112925Z", - "iopub.status.busy": "2023-11-28T11:03:54.112645Z", - "iopub.status.idle": "2023-11-28T11:03:54.116243Z", - "shell.execute_reply": "2023-11-28T11:03:54.115748Z" + "iopub.execute_input": "2023-12-04T17:23:32.586039Z", + "iopub.status.busy": "2023-12-04T17:23:32.585882Z", + "iopub.status.idle": "2023-12-04T17:23:32.589570Z", + "shell.execute_reply": "2023-12-04T17:23:32.589173Z" }, "pycharm": { "name": "#%%\n" diff --git a/advanced-python/12AdvancedClasses.ipynb b/advanced-python/12AdvancedClasses.ipynb index debcc2c9..31516a8e 100644 --- a/advanced-python/12AdvancedClasses.ipynb +++ b/advanced-python/12AdvancedClasses.ipynb @@ -26,10 +26,10 @@ "start_time": "2023-11-09T18:22:01.447375824Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.083276Z", - "iopub.status.busy": "2023-11-28T11:03:56.083118Z", - "iopub.status.idle": "2023-11-28T11:03:56.088967Z", - "shell.execute_reply": "2023-11-28T11:03:56.088475Z" + "iopub.execute_input": "2023-12-04T17:23:34.736852Z", + "iopub.status.busy": "2023-12-04T17:23:34.736692Z", + "iopub.status.idle": "2023-12-04T17:23:34.742814Z", + "shell.execute_reply": "2023-12-04T17:23:34.742405Z" } }, "outputs": [], @@ -71,10 +71,10 @@ "start_time": "2023-11-09T18:22:01.447622989Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.090882Z", - "iopub.status.busy": "2023-11-28T11:03:56.090560Z", - "iopub.status.idle": "2023-11-28T11:03:56.093047Z", - "shell.execute_reply": "2023-11-28T11:03:56.092632Z" + "iopub.execute_input": "2023-12-04T17:23:34.744590Z", + "iopub.status.busy": "2023-12-04T17:23:34.744430Z", + "iopub.status.idle": "2023-12-04T17:23:34.746950Z", + "shell.execute_reply": "2023-12-04T17:23:34.746547Z" } }, "outputs": [], @@ -92,10 +92,10 @@ "start_time": "2023-11-09T18:22:01.447833842Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.094679Z", - "iopub.status.busy": "2023-11-28T11:03:56.094500Z", - "iopub.status.idle": "2023-11-28T11:03:56.099919Z", - "shell.execute_reply": "2023-11-28T11:03:56.099446Z" + "iopub.execute_input": "2023-12-04T17:23:34.748567Z", + "iopub.status.busy": "2023-12-04T17:23:34.748412Z", + "iopub.status.idle": "2023-12-04T17:23:34.753797Z", + "shell.execute_reply": "2023-12-04T17:23:34.753285Z" } }, "outputs": [ @@ -150,10 +150,10 @@ "start_time": "2023-11-09T18:22:01.448096154Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.101904Z", - "iopub.status.busy": "2023-11-28T11:03:56.101492Z", - "iopub.status.idle": "2023-11-28T11:03:56.104601Z", - "shell.execute_reply": "2023-11-28T11:03:56.104228Z" + "iopub.execute_input": "2023-12-04T17:23:34.755540Z", + "iopub.status.busy": "2023-12-04T17:23:34.755398Z", + "iopub.status.idle": "2023-12-04T17:23:34.758703Z", + "shell.execute_reply": "2023-12-04T17:23:34.758304Z" } }, "outputs": [], @@ -202,10 +202,10 @@ "start_time": "2023-11-09T18:22:01.491308102Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.106264Z", - "iopub.status.busy": "2023-11-28T11:03:56.106111Z", - "iopub.status.idle": "2023-11-28T11:03:56.108667Z", - "shell.execute_reply": "2023-11-28T11:03:56.108290Z" + "iopub.execute_input": "2023-12-04T17:23:34.760679Z", + "iopub.status.busy": "2023-12-04T17:23:34.760377Z", + "iopub.status.idle": "2023-12-04T17:23:34.763154Z", + "shell.execute_reply": "2023-12-04T17:23:34.762653Z" } }, "outputs": [], @@ -228,10 +228,10 @@ "start_time": "2023-11-09T18:22:01.491619526Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.110554Z", - "iopub.status.busy": "2023-11-28T11:03:56.110239Z", - "iopub.status.idle": "2023-11-28T11:03:56.112660Z", - "shell.execute_reply": "2023-11-28T11:03:56.112247Z" + "iopub.execute_input": "2023-12-04T17:23:34.765212Z", + "iopub.status.busy": "2023-12-04T17:23:34.764834Z", + "iopub.status.idle": "2023-12-04T17:23:34.767243Z", + "shell.execute_reply": "2023-12-04T17:23:34.766847Z" } }, "outputs": [], @@ -249,10 +249,10 @@ "start_time": "2023-11-09T18:22:01.491851791Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.114250Z", - "iopub.status.busy": "2023-11-28T11:03:56.114100Z", - "iopub.status.idle": "2023-11-28T11:03:56.116834Z", - "shell.execute_reply": "2023-11-28T11:03:56.116426Z" + "iopub.execute_input": "2023-12-04T17:23:34.769060Z", + "iopub.status.busy": "2023-12-04T17:23:34.768683Z", + "iopub.status.idle": "2023-12-04T17:23:34.771448Z", + "shell.execute_reply": "2023-12-04T17:23:34.770980Z" } }, "outputs": [ @@ -277,10 +277,10 @@ "start_time": "2023-11-09T18:22:01.492017010Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.118392Z", - "iopub.status.busy": "2023-11-28T11:03:56.118236Z", - "iopub.status.idle": "2023-11-28T11:03:56.120799Z", - "shell.execute_reply": "2023-11-28T11:03:56.120330Z" + "iopub.execute_input": "2023-12-04T17:23:34.773259Z", + "iopub.status.busy": "2023-12-04T17:23:34.772960Z", + "iopub.status.idle": "2023-12-04T17:23:34.775834Z", + "shell.execute_reply": "2023-12-04T17:23:34.775408Z" } }, "outputs": [ @@ -324,10 +324,10 @@ "start_time": "2023-11-09T18:22:01.498433654Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.122492Z", - "iopub.status.busy": "2023-11-28T11:03:56.122337Z", - "iopub.status.idle": "2023-11-28T11:03:56.125582Z", - "shell.execute_reply": "2023-11-28T11:03:56.125167Z" + "iopub.execute_input": "2023-12-04T17:23:34.777808Z", + "iopub.status.busy": "2023-12-04T17:23:34.777397Z", + "iopub.status.idle": "2023-12-04T17:23:34.780585Z", + "shell.execute_reply": "2023-12-04T17:23:34.780195Z" } }, "outputs": [], @@ -355,10 +355,10 @@ "start_time": "2023-11-09T18:22:01.503944286Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.127419Z", - "iopub.status.busy": "2023-11-28T11:03:56.126996Z", - "iopub.status.idle": "2023-11-28T11:03:56.129539Z", - "shell.execute_reply": "2023-11-28T11:03:56.129052Z" + "iopub.execute_input": "2023-12-04T17:23:34.782197Z", + "iopub.status.busy": "2023-12-04T17:23:34.782056Z", + "iopub.status.idle": "2023-12-04T17:23:34.784221Z", + "shell.execute_reply": "2023-12-04T17:23:34.783843Z" } }, "outputs": [], @@ -375,10 +375,10 @@ "start_time": "2023-11-09T18:22:01.513503176Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.131501Z", - "iopub.status.busy": "2023-11-28T11:03:56.131182Z", - "iopub.status.idle": "2023-11-28T11:03:56.134814Z", - "shell.execute_reply": "2023-11-28T11:03:56.134341Z" + "iopub.execute_input": "2023-12-04T17:23:34.785921Z", + "iopub.status.busy": "2023-12-04T17:23:34.785778Z", + "iopub.status.idle": "2023-12-04T17:23:34.789173Z", + "shell.execute_reply": "2023-12-04T17:23:34.788710Z" } }, "outputs": [ @@ -413,10 +413,10 @@ "start_time": "2023-11-09T18:22:01.555278832Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.136643Z", - "iopub.status.busy": "2023-11-28T11:03:56.136346Z", - "iopub.status.idle": "2023-11-28T11:03:56.138791Z", - "shell.execute_reply": "2023-11-28T11:03:56.138294Z" + "iopub.execute_input": "2023-12-04T17:23:34.790870Z", + "iopub.status.busy": "2023-12-04T17:23:34.790731Z", + "iopub.status.idle": "2023-12-04T17:23:34.793396Z", + "shell.execute_reply": "2023-12-04T17:23:34.792999Z" } }, "outputs": [ @@ -456,10 +456,10 @@ "start_time": "2023-11-09T18:22:01.555519700Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.140579Z", - "iopub.status.busy": "2023-11-28T11:03:56.140282Z", - "iopub.status.idle": "2023-11-28T11:03:56.143003Z", - "shell.execute_reply": "2023-11-28T11:03:56.142497Z" + "iopub.execute_input": "2023-12-04T17:23:34.795220Z", + "iopub.status.busy": "2023-12-04T17:23:34.794848Z", + "iopub.status.idle": "2023-12-04T17:23:34.797593Z", + "shell.execute_reply": "2023-12-04T17:23:34.797099Z" } }, "outputs": [], @@ -481,10 +481,10 @@ "start_time": "2023-11-09T18:22:01.555728122Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.144775Z", - "iopub.status.busy": "2023-11-28T11:03:56.144490Z", - "iopub.status.idle": "2023-11-28T11:03:56.146819Z", - "shell.execute_reply": "2023-11-28T11:03:56.146413Z" + "iopub.execute_input": "2023-12-04T17:23:34.799301Z", + "iopub.status.busy": "2023-12-04T17:23:34.799011Z", + "iopub.status.idle": "2023-12-04T17:23:34.801494Z", + "shell.execute_reply": "2023-12-04T17:23:34.801004Z" } }, "outputs": [], @@ -502,10 +502,10 @@ "start_time": "2023-11-09T18:22:01.599103966Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.148746Z", - "iopub.status.busy": "2023-11-28T11:03:56.148302Z", - "iopub.status.idle": "2023-11-28T11:03:56.151624Z", - "shell.execute_reply": "2023-11-28T11:03:56.151138Z" + "iopub.execute_input": "2023-12-04T17:23:34.803351Z", + "iopub.status.busy": "2023-12-04T17:23:34.802985Z", + "iopub.status.idle": "2023-12-04T17:23:34.806287Z", + "shell.execute_reply": "2023-12-04T17:23:34.805811Z" } }, "outputs": [ @@ -533,10 +533,10 @@ "start_time": "2023-11-09T18:22:01.599306619Z" }, "execution": { - 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"iopub.execute_input": "2023-11-28T11:03:56.172978Z", - "iopub.status.busy": "2023-11-28T11:03:56.172616Z", - "iopub.status.idle": "2023-11-28T11:03:56.175874Z", - "shell.execute_reply": "2023-11-28T11:03:56.175415Z" + "iopub.execute_input": "2023-12-04T17:23:34.827491Z", + "iopub.status.busy": "2023-12-04T17:23:34.827336Z", + "iopub.status.idle": "2023-12-04T17:23:34.830521Z", + "shell.execute_reply": "2023-12-04T17:23:34.830141Z" } }, "outputs": [], @@ -760,10 +760,10 @@ "start_time": "2023-11-09T18:22:01.643613141Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.177730Z", - "iopub.status.busy": "2023-11-28T11:03:56.177373Z", - "iopub.status.idle": "2023-11-28T11:03:56.179690Z", - "shell.execute_reply": "2023-11-28T11:03:56.179291Z" + "iopub.execute_input": "2023-12-04T17:23:34.832141Z", + "iopub.status.busy": "2023-12-04T17:23:34.831989Z", + "iopub.status.idle": "2023-12-04T17:23:34.834331Z", + "shell.execute_reply": "2023-12-04T17:23:34.833917Z" } }, "outputs": [], @@ -780,10 +780,10 @@ "start_time": "2023-11-09T18:22:01.643815676Z" }, "execution": { - 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"iopub.execute_input": "2023-11-28T11:03:56.191127Z", - "iopub.status.busy": "2023-11-28T11:03:56.190860Z", - "iopub.status.idle": "2023-11-28T11:03:56.193481Z", - "shell.execute_reply": "2023-11-28T11:03:56.192988Z" + "iopub.execute_input": "2023-12-04T17:23:34.845217Z", + "iopub.status.busy": "2023-12-04T17:23:34.844956Z", + "iopub.status.idle": "2023-12-04T17:23:34.847555Z", + "shell.execute_reply": "2023-12-04T17:23:34.847077Z" } }, "outputs": [ @@ -877,10 +877,10 @@ "start_time": "2023-11-09T18:22:01.662211437Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.195510Z", - "iopub.status.busy": "2023-11-28T11:03:56.195140Z", - "iopub.status.idle": "2023-11-28T11:03:56.197839Z", - "shell.execute_reply": "2023-11-28T11:03:56.197447Z" + "iopub.execute_input": "2023-12-04T17:23:34.849271Z", + "iopub.status.busy": "2023-12-04T17:23:34.849012Z", + "iopub.status.idle": "2023-12-04T17:23:34.851659Z", + "shell.execute_reply": "2023-12-04T17:23:34.851180Z" } }, "outputs": [ @@ -905,10 +905,10 @@ "start_time": "2023-11-09T18:22:01.679854902Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.199671Z", - "iopub.status.busy": "2023-11-28T11:03:56.199374Z", - "iopub.status.idle": "2023-11-28T11:03:56.201599Z", - "shell.execute_reply": "2023-11-28T11:03:56.201209Z" + "iopub.execute_input": "2023-12-04T17:23:34.853351Z", + "iopub.status.busy": "2023-12-04T17:23:34.853083Z", + "iopub.status.idle": "2023-12-04T17:23:34.855477Z", + "shell.execute_reply": "2023-12-04T17:23:34.854996Z" } }, "outputs": [], @@ -939,10 +939,10 @@ "start_time": "2023-11-09T18:22:01.685831397Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:56.203475Z", - "iopub.status.busy": "2023-11-28T11:03:56.203167Z", - "iopub.status.idle": "2023-11-28T11:03:56.206140Z", - "shell.execute_reply": "2023-11-28T11:03:56.205734Z" + "iopub.execute_input": "2023-12-04T17:23:34.857328Z", + "iopub.status.busy": "2023-12-04T17:23:34.856967Z", + "iopub.status.idle": "2023-12-04T17:23:34.860044Z", + "shell.execute_reply": "2023-12-04T17:23:34.859582Z" } }, "outputs": [ diff --git a/advanced-python/20DataAndPlotting.html b/advanced-python/20DataAndPlotting.html index 0f52cbd8..202065cb 100644 --- a/advanced-python/20DataAndPlotting.html +++ b/advanced-python/20DataAndPlotting.html @@ -1102,7 +1102,7 @@

    Using rectangular cuts 
    -<matplotlib.legend.Legend at 0x7f4ee1800990>
+<matplotlib.legend.Legend at 0x7f2575735d10>

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

    Comparing distributions 
    -<matplotlib.legend.Legend at 0x7f4ee1130990>
+<matplotlib.legend.Legend at 0x7f25757cc110>

    @@ -1272,7 +1272,7 @@

    Comparing distributions 
    -<matplotlib.legend.Legend at 0x7f4ee17cf750>
+<matplotlib.legend.Legend at 0x7f257574b3d0>

    @@ -1324,7 +1324,7 @@

    Comparing distributions 
    -/tmp/ipykernel_6518/3447827755.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_3699/3447827755.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 8671e88e..0b065dd3 100644 --- a/advanced-python/20DataAndPlotting.ipynb +++ b/advanced-python/20DataAndPlotting.ipynb @@ -38,10 +38,10 @@ "start_time": "2023-11-09T18:22:10.715117611Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:58.008204Z", - "iopub.status.busy": "2023-11-28T11:03:58.007757Z", - "iopub.status.idle": "2023-11-28T11:03:59.331775Z", - "shell.execute_reply": "2023-11-28T11:03:59.331325Z" + "iopub.execute_input": "2023-12-04T17:23:36.656095Z", + "iopub.status.busy": "2023-12-04T17:23:36.655937Z", + "iopub.status.idle": "2023-12-04T17:23:37.255083Z", + "shell.execute_reply": "2023-12-04T17:23:37.254485Z" } }, "outputs": [], @@ -127,10 +127,10 @@ "start_time": "2023-11-09T18:22:10.715393509Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:03:59.334320Z", - "iopub.status.busy": "2023-11-28T11:03:59.333918Z", - "iopub.status.idle": "2023-11-28T11:04:02.069736Z", - "shell.execute_reply": "2023-11-28T11:04:02.069214Z" + "iopub.execute_input": "2023-12-04T17:23:37.257530Z", + "iopub.status.busy": "2023-12-04T17:23:37.257247Z", + "iopub.status.idle": "2023-12-04T17:23:40.642624Z", + "shell.execute_reply": "2023-12-04T17:23:40.642083Z" } }, "outputs": [ @@ -168,10 +168,10 @@ "start_time": "2023-11-09T18:22:10.996475027Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:02.071885Z", - "iopub.status.busy": "2023-11-28T11:04:02.071541Z", - "iopub.status.idle": "2023-11-28T11:04:05.773810Z", - "shell.execute_reply": "2023-11-28T11:04:05.773326Z" + "iopub.execute_input": "2023-12-04T17:23:40.644585Z", + "iopub.status.busy": "2023-12-04T17:23:40.644415Z", + "iopub.status.idle": "2023-12-04T17:23:45.585757Z", + "shell.execute_reply": "2023-12-04T17:23:45.585197Z" } }, "outputs": [ @@ -202,10 +202,10 @@ "start_time": "2023-11-09T18:22:11.577968658Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:05.775917Z", - "iopub.status.busy": "2023-11-28T11:04:05.775596Z", - "iopub.status.idle": "2023-11-28T11:04:36.299157Z", - "shell.execute_reply": "2023-11-28T11:04:36.298605Z" + "iopub.execute_input": "2023-12-04T17:23:45.587874Z", + "iopub.status.busy": "2023-12-04T17:23:45.587486Z", + "iopub.status.idle": "2023-12-04T17:24:30.428457Z", + "shell.execute_reply": "2023-12-04T17:24:30.427830Z" } }, "outputs": [ @@ -434,10 +434,10 @@ "start_time": "2023-11-09T18:22:24.447634455Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:36.301180Z", - "iopub.status.busy": "2023-11-28T11:04:36.301007Z", - "iopub.status.idle": "2023-11-28T11:04:36.304472Z", - "shell.execute_reply": "2023-11-28T11:04:36.304054Z" + "iopub.execute_input": "2023-12-04T17:24:30.431012Z", + "iopub.status.busy": "2023-12-04T17:24:30.430822Z", + "iopub.status.idle": "2023-12-04T17:24:30.435042Z", + "shell.execute_reply": "2023-12-04T17:24:30.434484Z" } }, "outputs": [ @@ -478,10 +478,10 @@ "start_time": "2023-11-09T18:22:24.453234659Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:36.306285Z", - "iopub.status.busy": "2023-11-28T11:04:36.305991Z", - "iopub.status.idle": "2023-11-28T11:04:36.443181Z", - "shell.execute_reply": "2023-11-28T11:04:36.442673Z" + "iopub.execute_input": "2023-12-04T17:24:30.437078Z", + "iopub.status.busy": "2023-12-04T17:24:30.436897Z", + "iopub.status.idle": "2023-12-04T17:24:30.576937Z", + "shell.execute_reply": "2023-12-04T17:24:30.576424Z" } }, "outputs": [ @@ -540,10 +540,10 @@ "start_time": "2023-11-09T18:22:24.819219840Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:36.445211Z", - "iopub.status.busy": "2023-11-28T11:04:36.445032Z", - "iopub.status.idle": "2023-11-28T11:04:36.448475Z", - "shell.execute_reply": "2023-11-28T11:04:36.448067Z" + "iopub.execute_input": "2023-12-04T17:24:30.578938Z", + "iopub.status.busy": "2023-12-04T17:24:30.578747Z", + "iopub.status.idle": "2023-12-04T17:24:30.582612Z", + "shell.execute_reply": "2023-12-04T17:24:30.582072Z" }, "pycharm": { "name": "#%%\n" @@ -565,10 +565,10 @@ "start_time": "2023-11-09T18:22:24.819392199Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:36.450182Z", - "iopub.status.busy": "2023-11-28T11:04:36.450008Z", - "iopub.status.idle": "2023-11-28T11:04:36.786608Z", - "shell.execute_reply": "2023-11-28T11:04:36.786082Z" + "iopub.execute_input": "2023-12-04T17:24:30.584612Z", + "iopub.status.busy": "2023-12-04T17:24:30.584290Z", + "iopub.status.idle": "2023-12-04T17:24:30.884089Z", + "shell.execute_reply": "2023-12-04T17:24:30.883499Z" }, "pycharm": { "name": "#%%\n" @@ -611,10 +611,10 @@ "start_time": "2023-11-09T18:22:25.966183784Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:36.788844Z", - "iopub.status.busy": "2023-11-28T11:04:36.788395Z", - "iopub.status.idle": "2023-11-28T11:04:37.102011Z", - "shell.execute_reply": "2023-11-28T11:04:37.101436Z" + "iopub.execute_input": "2023-12-04T17:24:30.886120Z", + "iopub.status.busy": "2023-12-04T17:24:30.885930Z", + "iopub.status.idle": "2023-12-04T17:24:31.207953Z", + "shell.execute_reply": "2023-12-04T17:24:31.207389Z" }, "pycharm": { "name": "#%%\n" @@ -657,10 +657,10 @@ "start_time": "2023-11-09T18:22:26.499064264Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:37.104389Z", - "iopub.status.busy": "2023-11-28T11:04:37.103830Z", - "iopub.status.idle": "2023-11-28T11:04:37.863067Z", - "shell.execute_reply": "2023-11-28T11:04:37.862542Z" + "iopub.execute_input": "2023-12-04T17:24:31.210008Z", + "iopub.status.busy": "2023-12-04T17:24:31.209809Z", + "iopub.status.idle": "2023-12-04T17:24:32.006258Z", + "shell.execute_reply": "2023-12-04T17:24:32.005724Z" }, "pycharm": { "name": "#%%\n" @@ -710,10 +710,10 @@ "start_time": "2023-11-09T18:22:27.444982487Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:37.865035Z", - "iopub.status.busy": "2023-11-28T11:04:37.864865Z", - "iopub.status.idle": "2023-11-28T11:04:38.271204Z", - "shell.execute_reply": "2023-11-28T11:04:38.270774Z" + "iopub.execute_input": "2023-12-04T17:24:32.008230Z", + "iopub.status.busy": "2023-12-04T17:24:32.008053Z", + "iopub.status.idle": "2023-12-04T17:24:32.420746Z", + "shell.execute_reply": "2023-12-04T17:24:32.420155Z" } }, "outputs": [ @@ -756,10 +756,10 @@ "start_time": "2023-11-09T18:22:29.626043515Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:38.273110Z", - "iopub.status.busy": "2023-11-28T11:04:38.272942Z", - "iopub.status.idle": "2023-11-28T11:04:38.284159Z", - "shell.execute_reply": "2023-11-28T11:04:38.283658Z" + "iopub.execute_input": "2023-12-04T17:24:32.423465Z", + "iopub.status.busy": "2023-12-04T17:24:32.422953Z", + "iopub.status.idle": "2023-12-04T17:24:32.435204Z", + "shell.execute_reply": "2023-12-04T17:24:32.434778Z" } }, "outputs": [ @@ -801,10 +801,10 @@ "start_time": "2023-11-09T18:22:29.648794140Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:38.285945Z", - "iopub.status.busy": "2023-11-28T11:04:38.285780Z", - "iopub.status.idle": "2023-11-28T11:04:38.298821Z", - "shell.execute_reply": "2023-11-28T11:04:38.298382Z" + "iopub.execute_input": "2023-12-04T17:24:32.437366Z", + "iopub.status.busy": "2023-12-04T17:24:32.436925Z", + "iopub.status.idle": "2023-12-04T17:24:32.451267Z", + "shell.execute_reply": "2023-12-04T17:24:32.450734Z" } }, "outputs": [ @@ -909,10 +909,10 @@ "start_time": "2023-11-09T18:22:29.678392856Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:38.300745Z", - "iopub.status.busy": "2023-11-28T11:04:38.300444Z", - "iopub.status.idle": "2023-11-28T11:04:38.664687Z", - "shell.execute_reply": "2023-11-28T11:04:38.664148Z" + "iopub.execute_input": "2023-12-04T17:24:32.453367Z", + "iopub.status.busy": "2023-12-04T17:24:32.453194Z", + "iopub.status.idle": "2023-12-04T17:24:32.806298Z", + "shell.execute_reply": "2023-12-04T17:24:32.805724Z" } }, "outputs": [ @@ -942,10 +942,10 @@ "start_time": "2023-11-09T18:22:30.368802764Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:38.666687Z", - "iopub.status.busy": "2023-11-28T11:04:38.666332Z", - "iopub.status.idle": "2023-11-28T11:04:39.052379Z", - "shell.execute_reply": "2023-11-28T11:04:39.051931Z" + "iopub.execute_input": "2023-12-04T17:24:32.808271Z", + "iopub.status.busy": "2023-12-04T17:24:32.808077Z", + "iopub.status.idle": "2023-12-04T17:24:33.199681Z", + "shell.execute_reply": "2023-12-04T17:24:33.199107Z" } }, "outputs": [ @@ -986,17 +986,17 @@ "start_time": "2023-11-09T18:22:31.166183480Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:39.054442Z", - "iopub.status.busy": "2023-11-28T11:04:39.054135Z", - "iopub.status.idle": "2023-11-28T11:04:39.452813Z", - "shell.execute_reply": "2023-11-28T11:04:39.452312Z" + "iopub.execute_input": "2023-12-04T17:24:33.201710Z", + "iopub.status.busy": "2023-12-04T17:24:33.201504Z", + "iopub.status.idle": "2023-12-04T17:24:33.655155Z", + "shell.execute_reply": "2023-12-04T17:24:33.654611Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 16, @@ -1047,10 +1047,10 @@ "start_time": "2023-11-09T18:22:32.129165982Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:39.454941Z", - "iopub.status.busy": "2023-11-28T11:04:39.454768Z", - "iopub.status.idle": "2023-11-28T11:04:39.458474Z", - "shell.execute_reply": "2023-11-28T11:04:39.457955Z" + "iopub.execute_input": "2023-12-04T17:24:33.657166Z", + "iopub.status.busy": "2023-12-04T17:24:33.656995Z", + "iopub.status.idle": "2023-12-04T17:24:33.660884Z", + "shell.execute_reply": "2023-12-04T17:24:33.660354Z" } }, "outputs": [ @@ -1083,10 +1083,10 @@ "start_time": "2023-11-09T18:22:32.134501210Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:39.460441Z", - "iopub.status.busy": "2023-11-28T11:04:39.460148Z", - "iopub.status.idle": "2023-11-28T11:04:44.623352Z", - "shell.execute_reply": "2023-11-28T11:04:44.622808Z" + "iopub.execute_input": "2023-12-04T17:24:33.662660Z", + "iopub.status.busy": "2023-12-04T17:24:33.662497Z", + "iopub.status.idle": "2023-12-04T17:24:41.228449Z", + "shell.execute_reply": "2023-12-04T17:24:41.227877Z" } }, "outputs": [ @@ -1153,10 +1153,10 @@ "start_time": "2023-11-09T18:22:33.874056558Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:04:44.625435Z", - "iopub.status.busy": "2023-11-28T11:04:44.625120Z", - "iopub.status.idle": "2023-11-28T11:09:35.219078Z", - "shell.execute_reply": "2023-11-28T11:09:35.218535Z" + "iopub.execute_input": "2023-12-04T17:24:41.230427Z", + "iopub.status.busy": "2023-12-04T17:24:41.230259Z", + "iopub.status.idle": "2023-12-04T17:31:15.080525Z", + "shell.execute_reply": "2023-12-04T17:31:15.080053Z" } }, "outputs": [], @@ -1191,10 +1191,10 @@ "start_time": "2023-11-09T18:23:21.182938710Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:35.221364Z", - "iopub.status.busy": "2023-11-28T11:09:35.221049Z", - "iopub.status.idle": "2023-11-28T11:09:35.588494Z", - "shell.execute_reply": "2023-11-28T11:09:35.587919Z" + "iopub.execute_input": "2023-12-04T17:31:15.082948Z", + "iopub.status.busy": "2023-12-04T17:31:15.082547Z", + "iopub.status.idle": "2023-12-04T17:31:15.452474Z", + "shell.execute_reply": "2023-12-04T17:31:15.451895Z" } }, "outputs": [ @@ -1239,17 +1239,17 @@ "start_time": "2023-11-09T18:23:21.630331279Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:35.590575Z", - "iopub.status.busy": "2023-11-28T11:09:35.590253Z", - "iopub.status.idle": "2023-11-28T11:09:35.934218Z", - "shell.execute_reply": "2023-11-28T11:09:35.933708Z" + "iopub.execute_input": "2023-12-04T17:31:15.454608Z", + "iopub.status.busy": "2023-12-04T17:31:15.454273Z", + "iopub.status.idle": "2023-12-04T17:31:15.761031Z", + "shell.execute_reply": "2023-12-04T17:31:15.760463Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 21, @@ -1289,17 +1289,17 @@ "start_time": "2023-11-09T18:23:22.130434993Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:35.936280Z", - "iopub.status.busy": "2023-11-28T11:09:35.936110Z", - "iopub.status.idle": "2023-11-28T11:09:36.308136Z", - "shell.execute_reply": "2023-11-28T11:09:36.307575Z" + "iopub.execute_input": "2023-12-04T17:31:15.763386Z", + "iopub.status.busy": "2023-12-04T17:31:15.762978Z", + "iopub.status.idle": "2023-12-04T17:31:16.094008Z", + "shell.execute_reply": "2023-12-04T17:31:16.093371Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 22, @@ -1344,10 +1344,10 @@ "start_time": "2023-11-09T18:23:22.640877567Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:36.310308Z", - "iopub.status.busy": "2023-11-28T11:09:36.309953Z", - "iopub.status.idle": "2023-11-28T11:09:36.313530Z", - "shell.execute_reply": "2023-11-28T11:09:36.313108Z" + "iopub.execute_input": "2023-12-04T17:31:16.096037Z", + "iopub.status.busy": "2023-12-04T17:31:16.095863Z", + "iopub.status.idle": "2023-12-04T17:31:16.099448Z", + "shell.execute_reply": "2023-12-04T17:31:16.099049Z" } }, "outputs": [], @@ -1392,10 +1392,10 @@ "start_time": "2023-11-09T18:23:22.649403635Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:36.315523Z", - "iopub.status.busy": "2023-11-28T11:09:36.315214Z", - "iopub.status.idle": "2023-11-28T11:09:47.546980Z", - "shell.execute_reply": "2023-11-28T11:09:47.546460Z" + "iopub.execute_input": "2023-12-04T17:31:16.101190Z", + "iopub.status.busy": "2023-12-04T17:31:16.101031Z", + "iopub.status.idle": "2023-12-04T17:31:27.541547Z", + "shell.execute_reply": "2023-12-04T17:31:27.541002Z" } }, "outputs": [ @@ -1403,7 +1403,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_6518/3447827755.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_3699/3447827755.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" ] }, @@ -1771,10 +1771,10 @@ "start_time": "2023-11-09T18:23:39.986976807Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:47.549086Z", - "iopub.status.busy": "2023-11-28T11:09:47.548776Z", - "iopub.status.idle": "2023-11-28T11:09:48.223472Z", - "shell.execute_reply": "2023-11-28T11:09:48.222933Z" + "iopub.execute_input": "2023-12-04T17:31:27.543700Z", + "iopub.status.busy": "2023-12-04T17:31:27.543370Z", + "iopub.status.idle": "2023-12-04T17:31:28.220336Z", + "shell.execute_reply": "2023-12-04T17:31:28.219793Z" }, "pycharm": { "name": "#%%\n" diff --git a/advanced-python/30Classification.html b/advanced-python/30Classification.html index 80c408b7..986b132c 100644 --- a/advanced-python/30Classification.html +++ b/advanced-python/30Classification.html @@ -521,7 +521,7 @@

    Using a classifier 
    -<matplotlib.legend.Legend at 0x7f82314d65d0>
+<matplotlib.legend.Legend at 0x7fa3dbbb7bd0>
    @@ -779,7 +779,7 @@

    TODO Add a diagram of a decision tree for the above plot 
    -<matplotlib.legend.Legend at 0x7f82314ff810>
+<matplotlib.legend.Legend at 0x7fa3d2082750>

    @@ -928,7 +928,7 @@

    Evaluating classifier performance 
    -/tmp/ipykernel_7101/4020814425.py:3: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4260/4020814425.py:3: RuntimeWarning: invalid value encountered in divide
   metric = S/np.sqrt(S+B)

    @@ -1016,7 +1016,7 @@

    Evaluating classifier performance 
    -<matplotlib.legend.Legend at 0x7f822807bb90>
+<matplotlib.legend.Legend at 0x7fa3d25e8bd0>
    @@ -1161,7 +1161,7 @@

    Collecting it all together 
    -/tmp/ipykernel_7101/4278176416.py:9: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4260/4278176416.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 c3f71f29..2aecea9e 100644 --- a/advanced-python/30Classification.ipynb +++ b/advanced-python/30Classification.ipynb @@ -25,10 +25,10 @@ "start_time": "2023-11-09T18:25:07.925906320Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:50.777230Z", - "iopub.status.busy": "2023-11-28T11:09:50.776888Z", - "iopub.status.idle": "2023-11-28T11:09:51.468508Z", - "shell.execute_reply": "2023-11-28T11:09:51.467990Z" + "iopub.execute_input": "2023-12-04T17:31:31.000482Z", + "iopub.status.busy": "2023-12-04T17:31:31.000322Z", + "iopub.status.idle": "2023-12-04T17:31:31.704914Z", + "shell.execute_reply": "2023-12-04T17:31:31.704391Z" } }, "outputs": [], @@ -47,10 +47,10 @@ "start_time": "2023-11-09T18:25:08.698996144Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:51.470745Z", - "iopub.status.busy": "2023-11-28T11:09:51.470500Z", - "iopub.status.idle": "2023-11-28T11:09:52.137324Z", - "shell.execute_reply": "2023-11-28T11:09:52.136828Z" + "iopub.execute_input": "2023-12-04T17:31:31.707252Z", + "iopub.status.busy": "2023-12-04T17:31:31.707016Z", + "iopub.status.idle": "2023-12-04T17:31:32.426906Z", + "shell.execute_reply": "2023-12-04T17:31:32.426374Z" } }, "outputs": [], @@ -89,17 +89,17 @@ "start_time": "2023-11-09T18:25:09.007997107Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:52.139645Z", - "iopub.status.busy": "2023-11-28T11:09:52.139364Z", - "iopub.status.idle": "2023-11-28T11:09:53.305700Z", - "shell.execute_reply": "2023-11-28T11:09:53.305172Z" + "iopub.execute_input": "2023-12-04T17:31:32.429440Z", + "iopub.status.busy": "2023-12-04T17:31:32.428953Z", + "iopub.status.idle": "2023-12-04T17:31:33.596148Z", + "shell.execute_reply": "2023-12-04T17:31:33.595613Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -155,10 +155,10 @@ "start_time": "2023-11-09T18:25:11.747609552Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:53.307840Z", - "iopub.status.busy": "2023-11-28T11:09:53.307520Z", - "iopub.status.idle": "2023-11-28T11:09:53.311453Z", - "shell.execute_reply": "2023-11-28T11:09:53.310958Z" + "iopub.execute_input": "2023-12-04T17:31:33.598322Z", + "iopub.status.busy": "2023-12-04T17:31:33.597981Z", + "iopub.status.idle": "2023-12-04T17:31:33.602375Z", + "shell.execute_reply": "2023-12-04T17:31:33.601894Z" } }, "outputs": [ @@ -189,10 +189,10 @@ "start_time": "2023-11-09T18:25:11.752531431Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:53.313294Z", - "iopub.status.busy": "2023-11-28T11:09:53.313006Z", - "iopub.status.idle": "2023-11-28T11:09:53.315527Z", - "shell.execute_reply": "2023-11-28T11:09:53.315039Z" + "iopub.execute_input": "2023-12-04T17:31:33.604323Z", + "iopub.status.busy": "2023-12-04T17:31:33.604017Z", + "iopub.status.idle": "2023-12-04T17:31:33.606548Z", + "shell.execute_reply": "2023-12-04T17:31:33.606117Z" } }, "outputs": [], @@ -220,10 +220,10 @@ "start_time": "2023-11-09T18:25:11.795008544Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:53.317378Z", - "iopub.status.busy": "2023-11-28T11:09:53.317078Z", - "iopub.status.idle": "2023-11-28T11:09:53.335817Z", - "shell.execute_reply": "2023-11-28T11:09:53.335259Z" + "iopub.execute_input": "2023-12-04T17:31:33.608516Z", + "iopub.status.busy": "2023-12-04T17:31:33.608081Z", + "iopub.status.idle": "2023-12-04T17:31:33.632949Z", + "shell.execute_reply": "2023-12-04T17:31:33.632389Z" } }, "outputs": [], @@ -242,10 +242,10 @@ "start_time": "2023-11-09T18:25:11.795121407Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:53.338258Z", - "iopub.status.busy": "2023-11-28T11:09:53.337822Z", - "iopub.status.idle": "2023-11-28T11:09:53.750834Z", - "shell.execute_reply": "2023-11-28T11:09:53.750294Z" + "iopub.execute_input": "2023-12-04T17:31:33.635375Z", + "iopub.status.busy": "2023-12-04T17:31:33.634981Z", + "iopub.status.idle": "2023-12-04T17:31:34.050707Z", + "shell.execute_reply": "2023-12-04T17:31:34.050186Z" } }, "outputs": [ @@ -273,10 +273,10 @@ "start_time": "2023-11-09T18:25:12.375467218Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:53.752951Z", - "iopub.status.busy": "2023-11-28T11:09:53.752527Z", - "iopub.status.idle": "2023-11-28T11:09:53.997738Z", - "shell.execute_reply": "2023-11-28T11:09:53.997281Z" + "iopub.execute_input": "2023-12-04T17:31:34.052590Z", + "iopub.status.busy": "2023-12-04T17:31:34.052410Z", + "iopub.status.idle": "2023-12-04T17:31:34.315873Z", + "shell.execute_reply": "2023-12-04T17:31:34.315393Z" } }, "outputs": [ @@ -345,10 +345,10 @@ "start_time": "2023-11-09T18:25:13.764223021Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.000089Z", - "iopub.status.busy": "2023-11-28T11:09:53.999908Z", - "iopub.status.idle": "2023-11-28T11:09:54.007571Z", - "shell.execute_reply": "2023-11-28T11:09:54.007151Z" + "iopub.execute_input": "2023-12-04T17:31:34.318078Z", + "iopub.status.busy": "2023-12-04T17:31:34.317896Z", + "iopub.status.idle": "2023-12-04T17:31:34.326032Z", + "shell.execute_reply": "2023-12-04T17:31:34.325582Z" } }, "outputs": [ @@ -389,10 +389,10 @@ "start_time": "2023-11-09T18:25:13.787561597Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.009645Z", - "iopub.status.busy": "2023-11-28T11:09:54.009368Z", - "iopub.status.idle": "2023-11-28T11:09:54.044965Z", - "shell.execute_reply": "2023-11-28T11:09:54.044513Z" + "iopub.execute_input": "2023-12-04T17:31:34.328164Z", + "iopub.status.busy": "2023-12-04T17:31:34.327872Z", + "iopub.status.idle": "2023-12-04T17:31:34.363490Z", + "shell.execute_reply": "2023-12-04T17:31:34.363040Z" } }, "outputs": [ @@ -430,10 +430,10 @@ "start_time": "2023-11-09T18:25:13.865725416Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.047170Z", - "iopub.status.busy": "2023-11-28T11:09:54.046851Z", - "iopub.status.idle": "2023-11-28T11:09:54.172096Z", - "shell.execute_reply": "2023-11-28T11:09:54.171593Z" + "iopub.execute_input": "2023-12-04T17:31:34.365771Z", + "iopub.status.busy": "2023-12-04T17:31:34.365425Z", + "iopub.status.idle": "2023-12-04T17:31:34.491171Z", + "shell.execute_reply": "2023-12-04T17:31:34.490678Z" } }, "outputs": [], @@ -460,10 +460,10 @@ "start_time": "2023-11-09T18:25:14.147685274Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.174682Z", - "iopub.status.busy": "2023-11-28T11:09:54.174348Z", - "iopub.status.idle": "2023-11-28T11:09:54.297132Z", - "shell.execute_reply": "2023-11-28T11:09:54.296636Z" + "iopub.execute_input": "2023-12-04T17:31:34.493832Z", + "iopub.status.busy": "2023-12-04T17:31:34.493486Z", + "iopub.status.idle": "2023-12-04T17:31:34.619342Z", + "shell.execute_reply": "2023-12-04T17:31:34.618835Z" } }, "outputs": [], @@ -490,10 +490,10 @@ "start_time": "2023-11-09T18:25:14.351502685Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.300375Z", - "iopub.status.busy": "2023-11-28T11:09:54.299587Z", - "iopub.status.idle": "2023-11-28T11:09:54.305464Z", - "shell.execute_reply": "2023-11-28T11:09:54.305083Z" + "iopub.execute_input": "2023-12-04T17:31:34.621984Z", + "iopub.status.busy": "2023-12-04T17:31:34.621664Z", + "iopub.status.idle": "2023-12-04T17:31:34.626571Z", + "shell.execute_reply": "2023-12-04T17:31:34.626080Z" } }, "outputs": [], @@ -527,10 +527,10 @@ "start_time": "2023-11-09T18:25:14.359199993Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.307378Z", - "iopub.status.busy": "2023-11-28T11:09:54.307081Z", - "iopub.status.idle": "2023-11-28T11:09:54.456832Z", - "shell.execute_reply": "2023-11-28T11:09:54.456326Z" + "iopub.execute_input": "2023-12-04T17:31:34.628473Z", + "iopub.status.busy": "2023-12-04T17:31:34.628164Z", + "iopub.status.idle": "2023-12-04T17:31:34.779458Z", + "shell.execute_reply": "2023-12-04T17:31:34.778905Z" } }, "outputs": [ @@ -565,17 +565,17 @@ "start_time": "2023-11-09T18:25:14.601766515Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.458979Z", - "iopub.status.busy": "2023-11-28T11:09:54.458581Z", - "iopub.status.idle": "2023-11-28T11:09:54.750266Z", - "shell.execute_reply": "2023-11-28T11:09:54.749744Z" + "iopub.execute_input": "2023-12-04T17:31:34.781471Z", + "iopub.status.busy": "2023-12-04T17:31:34.781303Z", + "iopub.status.idle": "2023-12-04T17:31:35.079587Z", + "shell.execute_reply": "2023-12-04T17:31:35.079020Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 15, @@ -624,10 +624,10 @@ "start_time": "2023-11-09T18:25:16.409914497Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:09:54.752539Z", - "iopub.status.busy": "2023-11-28T11:09:54.752106Z", - "iopub.status.idle": "2023-11-28T11:10:00.403112Z", - "shell.execute_reply": "2023-11-28T11:10:00.402644Z" + "iopub.execute_input": "2023-12-04T17:31:35.081822Z", + "iopub.status.busy": "2023-12-04T17:31:35.081398Z", + "iopub.status.idle": "2023-12-04T17:31:42.383539Z", + "shell.execute_reply": "2023-12-04T17:31:42.382972Z" } }, "outputs": [ @@ -676,10 +676,10 @@ "start_time": "2023-11-09T18:25:17.380970864Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.405222Z", - "iopub.status.busy": "2023-11-28T11:10:00.404831Z", - "iopub.status.idle": "2023-11-28T11:10:00.554482Z", - "shell.execute_reply": "2023-11-28T11:10:00.553956Z" + "iopub.execute_input": "2023-12-04T17:31:42.385527Z", + "iopub.status.busy": "2023-12-04T17:31:42.385349Z", + "iopub.status.idle": "2023-12-04T17:31:42.536840Z", + "shell.execute_reply": "2023-12-04T17:31:42.536298Z" } }, "outputs": [ @@ -718,10 +718,10 @@ "start_time": "2023-11-09T18:25:17.573465928Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.556519Z", - "iopub.status.busy": "2023-11-28T11:10:00.556340Z", - "iopub.status.idle": "2023-11-28T11:10:00.642070Z", - "shell.execute_reply": "2023-11-28T11:10:00.641609Z" + "iopub.execute_input": "2023-12-04T17:31:42.538932Z", + "iopub.status.busy": "2023-12-04T17:31:42.538656Z", + "iopub.status.idle": "2023-12-04T17:31:42.623928Z", + "shell.execute_reply": "2023-12-04T17:31:42.623338Z" } }, "outputs": [], @@ -751,10 +751,10 @@ "start_time": "2023-11-09T18:25:17.695016918Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.644483Z", - "iopub.status.busy": "2023-11-28T11:10:00.644102Z", - "iopub.status.idle": "2023-11-28T11:10:00.784250Z", - "shell.execute_reply": "2023-11-28T11:10:00.783707Z" + "iopub.execute_input": "2023-12-04T17:31:42.626302Z", + "iopub.status.busy": "2023-12-04T17:31:42.625977Z", + "iopub.status.idle": "2023-12-04T17:31:42.742523Z", + "shell.execute_reply": "2023-12-04T17:31:42.741949Z" } }, "outputs": [ @@ -797,10 +797,10 @@ "start_time": "2023-11-09T18:25:17.824214208Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.786363Z", - "iopub.status.busy": "2023-11-28T11:10:00.786014Z", - "iopub.status.idle": "2023-11-28T11:10:00.789423Z", - "shell.execute_reply": "2023-11-28T11:10:00.788901Z" + "iopub.execute_input": "2023-12-04T17:31:42.744913Z", + "iopub.status.busy": "2023-12-04T17:31:42.744457Z", + "iopub.status.idle": "2023-12-04T17:31:42.748228Z", + "shell.execute_reply": "2023-12-04T17:31:42.747679Z" } }, "outputs": [], @@ -817,10 +817,10 @@ "start_time": "2023-11-09T18:25:17.871252944Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.791452Z", - "iopub.status.busy": "2023-11-28T11:10:00.791147Z", - "iopub.status.idle": "2023-11-28T11:10:00.924420Z", - "shell.execute_reply": "2023-11-28T11:10:00.923863Z" + "iopub.execute_input": "2023-12-04T17:31:42.750169Z", + "iopub.status.busy": "2023-12-04T17:31:42.749997Z", + "iopub.status.idle": "2023-12-04T17:31:42.867667Z", + "shell.execute_reply": "2023-12-04T17:31:42.867195Z" } }, "outputs": [ @@ -865,10 +865,10 @@ "start_time": "2023-11-09T18:25:17.994427329Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.926573Z", - "iopub.status.busy": "2023-11-28T11:10:00.926397Z", - "iopub.status.idle": "2023-11-28T11:10:00.929479Z", - "shell.execute_reply": "2023-11-28T11:10:00.929011Z" + "iopub.execute_input": "2023-12-04T17:31:42.870148Z", + "iopub.status.busy": "2023-12-04T17:31:42.869874Z", + "iopub.status.idle": "2023-12-04T17:31:42.872466Z", + "shell.execute_reply": "2023-12-04T17:31:42.872045Z" } }, "outputs": [], @@ -893,10 +893,10 @@ "start_time": "2023-11-09T18:25:18.035311051Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.931302Z", - "iopub.status.busy": "2023-11-28T11:10:00.931128Z", - "iopub.status.idle": "2023-11-28T11:10:00.934757Z", - "shell.execute_reply": "2023-11-28T11:10:00.934219Z" + "iopub.execute_input": "2023-12-04T17:31:42.874622Z", + "iopub.status.busy": "2023-12-04T17:31:42.874285Z", + "iopub.status.idle": "2023-12-04T17:31:42.877398Z", + "shell.execute_reply": "2023-12-04T17:31:42.877060Z" } }, "outputs": [ @@ -904,7 +904,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7101/4020814425.py:3: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4260/4020814425.py:3: RuntimeWarning: invalid value encountered in divide\n", " metric = S/np.sqrt(S+B)\n" ] } @@ -931,10 +931,10 @@ "start_time": "2023-11-09T18:25:18.035655070Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:00.936864Z", - "iopub.status.busy": "2023-11-28T11:10:00.936679Z", - "iopub.status.idle": "2023-11-28T11:10:01.063730Z", - "shell.execute_reply": "2023-11-28T11:10:01.063197Z" + "iopub.execute_input": "2023-12-04T17:31:42.879098Z", + "iopub.status.busy": "2023-12-04T17:31:42.878877Z", + "iopub.status.idle": "2023-12-04T17:31:43.019645Z", + "shell.execute_reply": "2023-12-04T17:31:43.019079Z" } }, "outputs": [ @@ -982,10 +982,10 @@ "start_time": "2023-11-09T18:25:18.243137106Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:01.065861Z", - "iopub.status.busy": "2023-11-28T11:10:01.065692Z", - "iopub.status.idle": "2023-11-28T11:10:01.068787Z", - "shell.execute_reply": "2023-11-28T11:10:01.068301Z" + "iopub.execute_input": "2023-12-04T17:31:43.021759Z", + "iopub.status.busy": "2023-12-04T17:31:43.021424Z", + "iopub.status.idle": "2023-12-04T17:31:43.024725Z", + "shell.execute_reply": "2023-12-04T17:31:43.024232Z" } }, "outputs": [ @@ -1013,10 +1013,10 @@ "start_time": "2023-11-09T18:25:18.243349315Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:01.070587Z", - "iopub.status.busy": "2023-11-28T11:10:01.070426Z", - "iopub.status.idle": "2023-11-28T11:10:01.260744Z", - "shell.execute_reply": "2023-11-28T11:10:01.260243Z" + "iopub.execute_input": "2023-12-04T17:31:43.026575Z", + "iopub.status.busy": "2023-12-04T17:31:43.026277Z", + "iopub.status.idle": "2023-12-04T17:31:43.220311Z", + "shell.execute_reply": "2023-12-04T17:31:43.219757Z" } }, "outputs": [ @@ -1039,7 +1039,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 26, @@ -1075,10 +1075,10 @@ "start_time": "2023-11-09T18:25:18.551392406Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:01.262864Z", - "iopub.status.busy": "2023-11-28T11:10:01.262433Z", - "iopub.status.idle": "2023-11-28T11:10:01.398247Z", - "shell.execute_reply": "2023-11-28T11:10:01.397733Z" + "iopub.execute_input": "2023-12-04T17:31:43.222558Z", + "iopub.status.busy": "2023-12-04T17:31:43.222131Z", + "iopub.status.idle": "2023-12-04T17:31:43.354979Z", + "shell.execute_reply": "2023-12-04T17:31:43.354322Z" } }, "outputs": [ @@ -1123,10 +1123,10 @@ "start_time": "2023-11-09T18:25:18.743820685Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:01.400363Z", - "iopub.status.busy": "2023-11-28T11:10:01.400017Z", - "iopub.status.idle": "2023-11-28T11:10:01.404191Z", - "shell.execute_reply": "2023-11-28T11:10:01.403781Z" + "iopub.execute_input": "2023-12-04T17:31:43.357006Z", + "iopub.status.busy": "2023-12-04T17:31:43.356829Z", + "iopub.status.idle": "2023-12-04T17:31:43.361419Z", + "shell.execute_reply": "2023-12-04T17:31:43.360896Z" } }, "outputs": [], @@ -1159,10 +1159,10 @@ "start_time": "2023-11-09T18:25:18.791163354Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:01.406079Z", - "iopub.status.busy": "2023-11-28T11:10:01.405803Z", - "iopub.status.idle": "2023-11-28T11:10:01.410114Z", - "shell.execute_reply": "2023-11-28T11:10:01.409706Z" + "iopub.execute_input": "2023-12-04T17:31:43.363357Z", + "iopub.status.busy": "2023-12-04T17:31:43.363184Z", + "iopub.status.idle": "2023-12-04T17:31:43.367083Z", + "shell.execute_reply": "2023-12-04T17:31:43.366562Z" } }, "outputs": [], @@ -1195,10 +1195,10 @@ "start_time": "2023-11-09T18:25:18.791369479Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:10:01.412142Z", - "iopub.status.busy": "2023-11-28T11:10:01.411746Z", - "iopub.status.idle": "2023-11-28T11:17:07.578702Z", - "shell.execute_reply": "2023-11-28T11:17:07.578202Z" + "iopub.execute_input": "2023-12-04T17:31:43.369036Z", + "iopub.status.busy": "2023-12-04T17:31:43.368868Z", + "iopub.status.idle": "2023-12-04T17:41:14.644000Z", + "shell.execute_reply": "2023-12-04T17:41:14.643517Z" } }, "outputs": [ @@ -1213,7 +1213,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7101/4278176416.py:9: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4260/4278176416.py:9: RuntimeWarning: invalid value encountered in divide\n", " metric = S/np.sqrt(S+B)\n" ] }, @@ -1299,10 +1299,10 @@ "start_time": "2023-11-09T18:30:20.708314393Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:07.580796Z", - "iopub.status.busy": "2023-11-28T11:17:07.580464Z", - "iopub.status.idle": "2023-11-28T11:17:08.332477Z", - "shell.execute_reply": "2023-11-28T11:17:08.331923Z" + "iopub.execute_input": "2023-12-04T17:41:14.645883Z", + "iopub.status.busy": "2023-12-04T17:41:14.645721Z", + "iopub.status.idle": "2023-12-04T17:41:15.446021Z", + "shell.execute_reply": "2023-12-04T17:41:15.445488Z" } }, "outputs": [ diff --git a/advanced-python/31ClassificationExtension.html b/advanced-python/31ClassificationExtension.html index acd0beaf..d1476517 100644 --- a/advanced-python/31ClassificationExtension.html +++ b/advanced-python/31ClassificationExtension.html @@ -618,11 +618,11 @@

    Alternative implimentations 
    -/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
    @@ -773,11 +773,11 @@

    Feature engineering 
    -/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
-/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
+/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide
   metric = S / np.sqrt(S + B)
    @@ -787,7 +787,7 @@

    Feature engineering 
    -<matplotlib.legend.Legend at 0x7f449c7bf250>
+<matplotlib.legend.Legend at 0x7f0b225c35d0>
    diff --git a/advanced-python/31ClassificationExtension.ipynb b/advanced-python/31ClassificationExtension.ipynb index 6d6fa44f..c2557a4c 100644 --- a/advanced-python/31ClassificationExtension.ipynb +++ b/advanced-python/31ClassificationExtension.ipynb @@ -31,10 +31,10 @@ "start_time": "2023-11-09T18:39:58.305187065Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:10.478314Z", - "iopub.status.busy": "2023-11-28T11:17:10.478162Z", - "iopub.status.idle": "2023-11-28T11:17:11.451026Z", - "shell.execute_reply": "2023-11-28T11:17:11.450483Z" + "iopub.execute_input": "2023-12-04T17:41:17.515907Z", + "iopub.status.busy": "2023-12-04T17:41:17.515744Z", + "iopub.status.idle": "2023-12-04T17:41:18.500782Z", + "shell.execute_reply": "2023-12-04T17:41:18.500286Z" } }, "outputs": [], @@ -55,10 +55,10 @@ "start_time": "2023-11-09T18:40:00.001945534Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:11.453200Z", - "iopub.status.busy": "2023-11-28T11:17:11.452976Z", - "iopub.status.idle": "2023-11-28T11:17:12.048977Z", - "shell.execute_reply": "2023-11-28T11:17:12.048481Z" + "iopub.execute_input": "2023-12-04T17:41:18.503027Z", + "iopub.status.busy": "2023-12-04T17:41:18.502807Z", + "iopub.status.idle": "2023-12-04T17:41:19.119192Z", + "shell.execute_reply": "2023-12-04T17:41:19.118647Z" } }, "outputs": [], @@ -80,10 +80,10 @@ "start_time": "2023-11-09T18:40:00.375142416Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:12.051203Z", - "iopub.status.busy": "2023-11-28T11:17:12.050950Z", - "iopub.status.idle": "2023-11-28T11:17:12.057324Z", - "shell.execute_reply": "2023-11-28T11:17:12.056922Z" + "iopub.execute_input": "2023-12-04T17:41:19.121480Z", + "iopub.status.busy": "2023-12-04T17:41:19.121219Z", + "iopub.status.idle": "2023-12-04T17:41:19.128514Z", + "shell.execute_reply": "2023-12-04T17:41:19.128094Z" } }, "outputs": [], @@ -147,10 +147,10 @@ "start_time": "2023-11-09T18:40:00.386255547Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:12.059118Z", - "iopub.status.busy": "2023-11-28T11:17:12.058956Z", - "iopub.status.idle": "2023-11-28T11:17:30.324892Z", - "shell.execute_reply": "2023-11-28T11:17:30.324397Z" + "iopub.execute_input": "2023-12-04T17:41:19.130317Z", + "iopub.status.busy": "2023-12-04T17:41:19.130148Z", + "iopub.status.idle": "2023-12-04T17:41:38.396440Z", + "shell.execute_reply": "2023-12-04T17:41:38.395915Z" } }, "outputs": [], @@ -171,10 +171,10 @@ "start_time": "2023-11-09T18:40:22.738816458Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:30.327135Z", - "iopub.status.busy": "2023-11-28T11:17:30.326800Z", - "iopub.status.idle": "2023-11-28T11:17:37.929497Z", - "shell.execute_reply": "2023-11-28T11:17:37.928989Z" + "iopub.execute_input": "2023-12-04T17:41:38.398744Z", + "iopub.status.busy": "2023-12-04T17:41:38.398401Z", + "iopub.status.idle": "2023-12-04T17:41:46.280086Z", + "shell.execute_reply": "2023-12-04T17:41:46.279570Z" } }, "outputs": [], @@ -195,10 +195,10 @@ "start_time": "2023-11-09T18:40:32.406995877Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:37.931810Z", - "iopub.status.busy": "2023-11-28T11:17:37.931479Z", - "iopub.status.idle": "2023-11-28T11:17:38.309770Z", - "shell.execute_reply": "2023-11-28T11:17:38.309282Z" + "iopub.execute_input": "2023-12-04T17:41:46.282480Z", + "iopub.status.busy": "2023-12-04T17:41:46.282097Z", + "iopub.status.idle": "2023-12-04T17:41:46.649138Z", + "shell.execute_reply": "2023-12-04T17:41:46.648620Z" } }, "outputs": [], @@ -219,10 +219,10 @@ "start_time": "2023-11-09T18:40:33.890325623Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:38.313193Z", - "iopub.status.busy": "2023-11-28T11:17:38.312406Z", - "iopub.status.idle": "2023-11-28T11:17:40.097447Z", - "shell.execute_reply": "2023-11-28T11:17:40.096927Z" + "iopub.execute_input": "2023-12-04T17:41:46.651662Z", + "iopub.status.busy": "2023-12-04T17:41:46.651366Z", + "iopub.status.idle": "2023-12-04T17:41:48.579644Z", + "shell.execute_reply": "2023-12-04T17:41:48.579076Z" } }, "outputs": [ @@ -230,7 +230,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n" ] }, @@ -238,9 +238,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n", - "/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n" ] }, @@ -348,10 +348,10 @@ "start_time": "2023-11-09T18:40:37.963705203Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:40.099428Z", - "iopub.status.busy": "2023-11-28T11:17:40.099272Z", - "iopub.status.idle": "2023-11-28T11:17:40.663909Z", - "shell.execute_reply": "2023-11-28T11:17:40.663377Z" + "iopub.execute_input": "2023-12-04T17:41:48.581912Z", + "iopub.status.busy": "2023-12-04T17:41:48.581424Z", + "iopub.status.idle": "2023-12-04T17:41:49.158539Z", + "shell.execute_reply": "2023-12-04T17:41:49.158004Z" } }, "outputs": [ @@ -432,10 +432,10 @@ "start_time": "2023-11-09T18:40:38.878807747Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:40.665940Z", - "iopub.status.busy": "2023-11-28T11:17:40.665771Z", - "iopub.status.idle": "2023-11-28T11:17:43.746772Z", - "shell.execute_reply": "2023-11-28T11:17:43.746223Z" + "iopub.execute_input": "2023-12-04T17:41:49.160503Z", + "iopub.status.busy": "2023-12-04T17:41:49.160342Z", + "iopub.status.idle": "2023-12-04T17:41:52.306069Z", + "shell.execute_reply": "2023-12-04T17:41:52.305490Z" } }, "outputs": [ @@ -443,9 +443,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n", - "/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4713/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", " metric = S / np.sqrt(S + B)\n" ] }, @@ -453,14 +453,14 @@ "name": "stderr", "output_type": "stream", "text": [ - "/tmp/ipykernel_7463/2193470804.py:21: RuntimeWarning: invalid value encountered in divide\n", + "/tmp/ipykernel_4713/2193470804.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/40Histograms.html b/advanced-python/40Histograms.html index 24e0f28c..4ff59259 100644 --- a/advanced-python/40Histograms.html +++ b/advanced-python/40Histograms.html @@ -518,7 +518,7 @@

    6: Histograms 
    -ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fc55ed8fcd0>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fc55edd3150>, text=[])
+ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7ffadd7f7590>, cbar=<matplotlib.colorbar.Colorbar object at 0x7ffadd7ada90>, text=[])

    @@ -643,7 +643,7 @@

    Compatibility with mplhep 
    -[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc564627210>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7ffadd7addd0>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]

    @@ -671,7 +671,7 @@

    Plotting with hist 
    -[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc5326c75d0>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7ffaafc07110>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]

    @@ -696,7 +696,7 @@

    Plotting with hist 
    -[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc532587850>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7ffaafaf4a90>, errorbar=<ErrorbarContainer object of 3 artists>, legend_artist=<ErrorbarContainer object of 3 artists>)]

    @@ -1813,7 +1813,7 @@

    Multiple dimensions 
    -ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7fc532607cd0>, cbar=<matplotlib.colorbar.Colorbar object at 0x7fc53252fc90>, text=[])
+ColormeshArtists(pcolormesh=<matplotlib.collections.QuadMesh object at 0x7ffaaf990b50>, cbar=<matplotlib.colorbar.Colorbar object at 0x7ffaaf9d3510>, text=[])

    @@ -3537,7 +3537,7 @@

    Arithmetics 
    -[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc5324b7110>, errorbar=None, legend_artist=None)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7ffaaf9a7150>, errorbar=None, legend_artist=None)]

    @@ -3562,7 +3562,7 @@

    Arithmetics 
    -[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7fc5303312d0>, errorbar=None, legend_artist=None)]
+[StairsArtists(stairs=<matplotlib.patches.StepPatch object at 0x7ffaafa27110>, errorbar=None, legend_artist=None)]

    @@ -3703,8 +3703,8 @@

    Weights - - + + @@ -3751,12 +3751,12 @@

    Weights - - - - - - + + + + + + @@ -3801,13 +3801,13 @@

    Weights - - - - - - - + + + + + + + @@ -3851,13 +3851,13 @@

    Weights - - - - - - - + + + + + + + @@ -3900,14 +3900,14 @@

    Weights - - - - - - - - + + + + + + + + @@ -3950,14 +3950,14 @@

    Weights - - - - - - - - + + + + + + + + @@ -4001,13 +4001,13 @@

    Weights - - - + + + - - - + + + @@ -4049,15 +4049,15 @@

    Weights - - - - - - - - - + + + + + + + + + @@ -4100,14 +4100,14 @@

    Weights - - - - - - - - + + + + + + + + @@ -4150,15 +4150,15 @@

    Weights - - - - - - - - - + + + + + + + + + @@ -4200,14 +4200,14 @@

    Weights - - - - - - - - + + + + + + + + @@ -4250,15 +4250,15 @@

    Weights - - - - - - - - - + + + + + + + + + @@ -4299,15 +4299,15 @@

    Weights - - - - - - - - - + + + + + + + + + @@ -4350,14 +4350,14 @@

    Weights - - - - - - - - + + + + + + + + @@ -4399,16 +4399,16 @@

    Weights - - - - - - - - - - + + + + + + + + + + @@ -4449,16 +4449,16 @@

    Weights - - - - - - - - - - + + + + + + + + + + @@ -4499,16 +4499,16 @@

    Weights - - - - - - - - - - + + + + + + + + + + @@ -4548,18 +4548,18 @@

    Weights - - - - - - - - - - - - + + + + + + + + + + + + @@ -4596,24 +4596,24 @@

    Weights - + - - - - - - - - - - - - - - + + + + + + + + + + + + + + - + @@ -4637,7 +4637,7 @@

    Weights Regular(50, 2.75, 3.5, name='mass')
    Regular(20, 0.026503, 0.993653, name='BDT')
    -Weight() Σ=WeightedSum(value=119975, variance=121183) (WeightedSum(value=120034, variance=121242) with flow) +Weight() Σ=WeightedSum(value=119937, variance=121100) (WeightedSum(value=119996, variance=121159) with flow)

    @@ -4736,7 +4736,7 @@

    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, 1.02873878e+00], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.10684983e-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, @@ -4746,72 +4746,72 @@

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5.49609232e+00, 1.31854009e+01, 7.86885483e+00, 1.24489927e+01, - 1.63770001e+01, 2.29758143e+01, 4.11486302e+01, 1.02234431e+02], - [0.00000000e+00, 0.00000000e+00, 1.60862561e+00, 5.97109873e+00, - 7.05948332e+00, 2.98934289e+01, 4.55108248e+01, 9.39013620e+01, - 8.43480022e+01, 9.48530231e+01, 9.48648126e+01, 8.17461037e+01, - 8.00017737e+01, 7.92547766e+01, 1.22842933e+02, 1.11395001e+02, - 1.25232219e+02, 1.50636994e+02, 2.48868859e+02, 3.39341215e+02], - [0.00000000e+00, 0.00000000e+00, 1.38243982e+01, 8.28749954e+01, - 1.68512848e+02, 3.16922061e+02, 5.93730056e+02, 9.64029868e+02, - 9.72905662e+02, 8.90813572e+02, 8.01532117e+02, 7.63377375e+02, - 7.40586630e+02, 6.78472334e+02, 6.92876428e+02, 7.13475889e+02, - 6.93555511e+02, 7.42706227e+02, 9.89600850e+02, 9.89877547e+02], - [0.00000000e+00, 3.39230369e+00, 4.37444475e+01, 2.79052341e+02, - 5.76649528e+02, 1.26213495e+03, 2.40909031e+03, 4.10689338e+03, - 3.84801022e+03, 3.31207544e+03, 3.11455913e+03, 2.69673814e+03, - 2.61955932e+03, 2.28812738e+03, 2.22728754e+03, 2.22613285e+03, - 2.16969644e+03, 2.16136299e+03, 2.44767805e+03, 2.33727117e+03], - [0.00000000e+00, 1.19180116e+00, 6.19695875e+01, 2.74980014e+02, - 6.85567212e+02, 1.39437909e+03, 2.83135502e+03, 4.70938965e+03, - 4.40646366e+03, 3.98718829e+03, 3.67919848e+03, 3.18763019e+03, - 2.98422427e+03, 2.57626441e+03, 2.78625958e+03, 2.44705796e+03, - 2.44042281e+03, 2.49348858e+03, 2.72376578e+03, 2.63819171e+03], - [0.00000000e+00, 0.00000000e+00, 1.16615892e+01, 9.40608761e+01, - 2.37537269e+02, 4.76995846e+02, 8.39916258e+02, 1.51702351e+03, - 1.48600504e+03, 1.34695434e+03, 1.23261390e+03, 1.15608496e+03, - 1.18865454e+03, 1.04728468e+03, 1.10321467e+03, 9.82598776e+02, - 1.02417831e+03, 1.05291055e+03, 1.34063845e+03, 1.34484007e+03], - [0.00000000e+00, 0.00000000e+00, 1.34974492e+00, 7.30469256e+00, - 2.16324419e+01, 4.16737562e+01, 9.34958514e+01, 1.38474944e+02, - 1.78204357e+02, 1.55592072e+02, 1.59386947e+02, 1.37061209e+02, - 1.65558229e+02, 1.55709606e+02, 2.10451835e+02, 1.81299574e+02, - 1.92930123e+02, 2.71651697e+02, 3.54077333e+02, 4.50715683e+02], - [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.27681865e+00, - 1.32175188e+00, 3.99098886e+00, 7.01013573e+00, 6.98603945e+00, - 1.43322115e+01, 6.11751180e+00, 7.86849068e+00, 1.15307374e+01, - 1.56016306e+01, 1.17858309e+01, 1.86417230e+01, 2.95314382e+01, - 1.60343759e+01, 3.14509339e+01, 6.82785177e+01, 1.26944354e+02], + 0.00000000e+00, 9.44251538e-01, 2.88713398e+00, 0.00000000e+00, + 8.45066071e+00, 3.02332355e+00, 8.26904642e+00, 4.14772005e+00, + 5.14308661e+00, 1.20718638e+01, 8.48223904e+00, 1.19994277e+01, + 1.72882288e+01, 2.18258041e+01, 4.17996096e+01, 9.85537295e+01], + [0.00000000e+00, 0.00000000e+00, 1.68304711e+00, 6.18935957e+00, + 6.96520605e+00, 3.20216689e+01, 4.60612194e+01, 9.38953470e+01, + 8.80652470e+01, 9.56532494e+01, 9.27854584e+01, 8.03515963e+01, + 8.24784486e+01, 8.52023024e+01, 1.18724314e+02, 1.14080313e+02, + 1.27318908e+02, 1.57455060e+02, 2.47900738e+02, 3.36633323e+02], + [0.00000000e+00, 0.00000000e+00, 1.44606217e+01, 8.34145105e+01, + 1.71492313e+02, 3.22363384e+02, 5.89101908e+02, 9.48758269e+02, + 9.75152472e+02, 8.79804992e+02, 7.87249949e+02, 7.74013956e+02, + 7.42999832e+02, 6.83870535e+02, 7.01215618e+02, 7.01124779e+02, + 6.81486058e+02, 7.36868198e+02, 9.95957304e+02, 9.72624665e+02], + [0.00000000e+00, 3.29424059e+00, 4.61320215e+01, 2.86908330e+02, + 5.79941174e+02, 1.25153951e+03, 2.38814914e+03, 4.11956879e+03, + 3.81596897e+03, 3.30952919e+03, 3.10517725e+03, 2.69929146e+03, + 2.60423565e+03, 2.30782398e+03, 2.24876298e+03, 2.25875511e+03, + 2.16848271e+03, 2.15167584e+03, 2.43969324e+03, 2.32950360e+03], + [0.00000000e+00, 1.09737091e+00, 6.25858881e+01, 2.76626124e+02, + 6.96458559e+02, 1.38692299e+03, 2.82469706e+03, 4.69725477e+03, + 4.38981243e+03, 3.97418684e+03, 3.68156843e+03, 3.19575908e+03, + 2.99205433e+03, 2.58022263e+03, 2.77877407e+03, 2.43990852e+03, + 2.45380774e+03, 2.50145310e+03, 2.71663416e+03, 2.62867588e+03], + [0.00000000e+00, 0.00000000e+00, 1.25776872e+01, 9.57191748e+01, + 2.39925507e+02, 4.81217701e+02, 8.45705493e+02, 1.52444633e+03, + 1.49107019e+03, 1.33735860e+03, 1.23871453e+03, 1.15108587e+03, + 1.17148366e+03, 1.05470074e+03, 1.09502003e+03, 9.79475424e+02, + 1.02190107e+03, 1.05391040e+03, 1.33966776e+03, 1.35876669e+03], + [0.00000000e+00, 0.00000000e+00, 9.42043472e-01, 6.96800348e+00, + 2.62515463e+01, 4.17210517e+01, 9.21369793e+01, 1.32324172e+02, + 1.75748093e+02, 1.56917216e+02, 1.59926647e+02, 1.36242109e+02, + 1.67337375e+02, 1.50988413e+02, 2.05855126e+02, 1.81559336e+02, + 1.94425224e+02, 2.66846824e+02, 3.51713065e+02, 4.57783748e+02], + [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.95872148e-01, + 1.21081484e+00, 3.95013135e+00, 7.09492786e+00, 7.56748884e+00, + 1.30331969e+01, 6.19475258e+00, 8.07872281e+00, 1.18482636e+01, + 1.37234047e+01, 1.23181737e+01, 1.85277758e+01, 2.92038002e+01, + 1.52673780e+01, 3.55826663e+01, 6.63087401e+01, 1.23699419e+02], [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, 1.01931494e+00, 0.00000000e+00, - 1.24874482e+00, 0.00000000e+00, 0.00000000e+00, 2.45319517e+00, - 1.84101839e+00, 3.57063159e+00, 1.25087982e+01, 2.47118592e+01], + 0.00000000e+00, 0.00000000e+00, 1.25832109e+00, 0.00000000e+00, + 9.63254747e-01, 0.00000000e+00, 0.00000000e+00, 3.12235888e+00, + 1.53224368e+00, 3.56613300e+00, 1.28596399e+01, 2.51844033e+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, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, - 0.00000000e+00, 0.00000000e+00, 2.23677075e+00, 1.06221210e+01], + 0.00000000e+00, 0.00000000e+00, 1.54332648e+00, 1.07622270e+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, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, - 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.84316940e+00], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.63542026e+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, 3.35102433e+00], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.17061091e+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, @@ -4821,7 +4821,7 @@

    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, 9.27748054e-01], + 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.07696252e+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, diff --git a/advanced-python/40Histograms.ipynb b/advanced-python/40Histograms.ipynb index bfb3786c..ec26969b 100644 --- a/advanced-python/40Histograms.ipynb +++ b/advanced-python/40Histograms.ipynb @@ -37,10 +37,10 @@ "start_time": "2023-11-09T18:40:41.774097506Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:45.776822Z", - "iopub.status.busy": "2023-11-28T11:17:45.776651Z", - "iopub.status.idle": "2023-11-28T11:17:46.783813Z", - "shell.execute_reply": "2023-11-28T11:17:46.783302Z" + "iopub.execute_input": "2023-12-04T17:41:54.670047Z", + "iopub.status.busy": "2023-12-04T17:41:54.669883Z", + "iopub.status.idle": "2023-12-04T17:41:55.711971Z", + "shell.execute_reply": "2023-12-04T17:41:55.711452Z" }, "pycharm": { "name": "#%%\n" @@ -68,10 +68,10 @@ "start_time": "2023-11-09T18:40:42.719110990Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:46.786176Z", - "iopub.status.busy": "2023-11-28T11:17:46.785807Z", - "iopub.status.idle": "2023-11-28T11:17:46.929428Z", - "shell.execute_reply": "2023-11-28T11:17:46.928887Z" + "iopub.execute_input": "2023-12-04T17:41:55.714562Z", + "iopub.status.busy": "2023-12-04T17:41:55.714117Z", + "iopub.status.idle": "2023-12-04T17:41:55.859077Z", + "shell.execute_reply": "2023-12-04T17:41:55.858568Z" }, "pycharm": { "name": "#%%\n" @@ -81,7 +81,7 @@ { "data": { "text/plain": [ - "ColormeshArtists(pcolormesh=, cbar=, text=[])" + "ColormeshArtists(pcolormesh=, cbar=, text=[])" ] }, "execution_count": 2, @@ -180,10 +180,10 @@ "start_time": "2023-11-09T18:40:42.916739161Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:46.931729Z", - "iopub.status.busy": "2023-11-28T11:17:46.931294Z", - "iopub.status.idle": "2023-11-28T11:17:46.935247Z", - "shell.execute_reply": "2023-11-28T11:17:46.934742Z" + "iopub.execute_input": "2023-12-04T17:41:55.861294Z", + "iopub.status.busy": "2023-12-04T17:41:55.860952Z", + "iopub.status.idle": "2023-12-04T17:41:55.864547Z", + "shell.execute_reply": "2023-12-04T17:41:55.864171Z" } }, "outputs": [], @@ -208,10 +208,10 @@ "start_time": "2023-11-09T18:40:42.927046922Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:46.937195Z", - "iopub.status.busy": "2023-11-28T11:17:46.936895Z", - "iopub.status.idle": "2023-11-28T11:17:46.939594Z", - "shell.execute_reply": "2023-11-28T11:17:46.939094Z" + "iopub.execute_input": "2023-12-04T17:41:55.866512Z", + "iopub.status.busy": "2023-12-04T17:41:55.866200Z", + "iopub.status.idle": "2023-12-04T17:41:55.868760Z", + "shell.execute_reply": "2023-12-04T17:41:55.868362Z" }, "pycharm": { "name": "#%%\n" @@ -231,10 +231,10 @@ "start_time": "2023-11-09T18:40:42.937126378Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:46.941792Z", - "iopub.status.busy": "2023-11-28T11:17:46.941242Z", - "iopub.status.idle": "2023-11-28T11:17:46.946781Z", - "shell.execute_reply": "2023-11-28T11:17:46.946324Z" + "iopub.execute_input": "2023-12-04T17:41:55.870653Z", + "iopub.status.busy": "2023-12-04T17:41:55.870316Z", + "iopub.status.idle": "2023-12-04T17:41:55.875072Z", + "shell.execute_reply": "2023-12-04T17:41:55.874680Z" } }, "outputs": [ @@ -289,10 +289,10 @@ "start_time": "2023-11-09T18:40:42.949363041Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:46.948647Z", - "iopub.status.busy": "2023-11-28T11:17:46.948464Z", - "iopub.status.idle": "2023-11-28T11:17:46.951624Z", - "shell.execute_reply": "2023-11-28T11:17:46.951178Z" + "iopub.execute_input": "2023-12-04T17:41:55.876933Z", + "iopub.status.busy": "2023-12-04T17:41:55.876628Z", + "iopub.status.idle": "2023-12-04T17:41:55.879624Z", + "shell.execute_reply": "2023-12-04T17:41:55.879223Z" } }, "outputs": [], @@ -320,17 +320,17 @@ "start_time": "2023-11-09T18:40:42.955171365Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:46.953299Z", - "iopub.status.busy": "2023-11-28T11:17:46.953142Z", - "iopub.status.idle": "2023-11-28T11:17:47.266922Z", - "shell.execute_reply": "2023-11-28T11:17:47.266241Z" + "iopub.execute_input": "2023-12-04T17:41:55.881196Z", + "iopub.status.busy": "2023-12-04T17:41:55.881050Z", + "iopub.status.idle": "2023-12-04T17:41:56.193540Z", + "shell.execute_reply": "2023-12-04T17:41:56.192918Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=, legend_artist=)]" + "[StairsArtists(stairs=, errorbar=, legend_artist=)]" ] }, "execution_count": 7, @@ -371,17 +371,17 @@ "start_time": "2023-11-09T18:40:43.211187900Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.269312Z", - "iopub.status.busy": "2023-11-28T11:17:47.268935Z", - "iopub.status.idle": "2023-11-28T11:17:47.378255Z", - "shell.execute_reply": "2023-11-28T11:17:47.377629Z" + "iopub.execute_input": "2023-12-04T17:41:56.195916Z", + "iopub.status.busy": "2023-12-04T17:41:56.195540Z", + "iopub.status.idle": "2023-12-04T17:41:56.302165Z", + "shell.execute_reply": "2023-12-04T17:41:56.301525Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=, legend_artist=)]" + "[StairsArtists(stairs=, errorbar=, legend_artist=)]" ] }, "execution_count": 8, @@ -412,17 +412,17 @@ "start_time": "2023-11-09T18:40:43.415174250Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.380447Z", - "iopub.status.busy": "2023-11-28T11:17:47.380265Z", - "iopub.status.idle": "2023-11-28T11:17:47.493947Z", - "shell.execute_reply": "2023-11-28T11:17:47.493468Z" + "iopub.execute_input": "2023-12-04T17:41:56.304439Z", + "iopub.status.busy": "2023-12-04T17:41:56.304079Z", + "iopub.status.idle": "2023-12-04T17:41:56.418090Z", + "shell.execute_reply": "2023-12-04T17:41:56.417382Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=, legend_artist=)]" + "[StairsArtists(stairs=, errorbar=, legend_artist=)]" ] }, "execution_count": 9, @@ -454,10 +454,10 @@ "start_time": "2023-11-09T18:40:43.622364563Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.496270Z", - "iopub.status.busy": "2023-11-28T11:17:47.495803Z", - "iopub.status.idle": "2023-11-28T11:17:47.499877Z", - "shell.execute_reply": "2023-11-28T11:17:47.499498Z" + "iopub.execute_input": "2023-12-04T17:41:56.420380Z", + "iopub.status.busy": "2023-12-04T17:41:56.420193Z", + "iopub.status.idle": "2023-12-04T17:41:56.424137Z", + "shell.execute_reply": "2023-12-04T17:41:56.423706Z" } }, "outputs": [ @@ -500,10 +500,10 @@ "start_time": "2023-11-09T18:40:43.629433139Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.501934Z", - "iopub.status.busy": "2023-11-28T11:17:47.501511Z", - "iopub.status.idle": "2023-11-28T11:17:47.505189Z", - "shell.execute_reply": "2023-11-28T11:17:47.504826Z" + "iopub.execute_input": "2023-12-04T17:41:56.426063Z", + "iopub.status.busy": "2023-12-04T17:41:56.425896Z", + "iopub.status.idle": "2023-12-04T17:41:56.429634Z", + "shell.execute_reply": "2023-12-04T17:41:56.429132Z" } }, "outputs": [], @@ -521,10 +521,10 @@ "start_time": "2023-11-09T18:40:43.671235206Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.507166Z", - "iopub.status.busy": "2023-11-28T11:17:47.506829Z", - "iopub.status.idle": "2023-11-28T11:17:47.511004Z", - "shell.execute_reply": "2023-11-28T11:17:47.510471Z" + "iopub.execute_input": "2023-12-04T17:41:56.431794Z", + "iopub.status.busy": "2023-12-04T17:41:56.431307Z", + "iopub.status.idle": "2023-12-04T17:41:56.435355Z", + "shell.execute_reply": "2023-12-04T17:41:56.434990Z" } }, "outputs": [], @@ -541,10 +541,10 @@ "start_time": "2023-11-09T18:40:43.671469880Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.512797Z", - "iopub.status.busy": "2023-11-28T11:17:47.512634Z", - "iopub.status.idle": "2023-11-28T11:17:47.532669Z", - "shell.execute_reply": "2023-11-28T11:17:47.532169Z" + "iopub.execute_input": "2023-12-04T17:41:56.437541Z", + "iopub.status.busy": "2023-12-04T17:41:56.437000Z", + "iopub.status.idle": "2023-12-04T17:41:56.457007Z", + "shell.execute_reply": "2023-12-04T17:41:56.456482Z" } }, "outputs": [ @@ -1611,17 +1611,17 @@ "start_time": "2023-11-09T18:40:43.712937233Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.535643Z", - "iopub.status.busy": "2023-11-28T11:17:47.535368Z", - "iopub.status.idle": "2023-11-28T11:17:47.707988Z", - "shell.execute_reply": "2023-11-28T11:17:47.707409Z" + "iopub.execute_input": "2023-12-04T17:41:56.459930Z", + "iopub.status.busy": "2023-12-04T17:41:56.459771Z", + "iopub.status.idle": "2023-12-04T17:41:56.632644Z", + "shell.execute_reply": "2023-12-04T17:41:56.632125Z" } }, "outputs": [ { "data": { "text/plain": [ - "ColormeshArtists(pcolormesh=, cbar=, text=[])" + "ColormeshArtists(pcolormesh=, cbar=, text=[])" ] }, "execution_count": 14, @@ -1661,10 +1661,10 @@ "start_time": "2023-11-09T18:40:44.022960001Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.710051Z", - "iopub.status.busy": "2023-11-28T11:17:47.709724Z", - "iopub.status.idle": "2023-11-28T11:17:47.713398Z", - "shell.execute_reply": "2023-11-28T11:17:47.712880Z" + "iopub.execute_input": "2023-12-04T17:41:56.634773Z", + "iopub.status.busy": "2023-12-04T17:41:56.634417Z", + "iopub.status.idle": "2023-12-04T17:41:56.638081Z", + "shell.execute_reply": "2023-12-04T17:41:56.637627Z" } }, "outputs": [ @@ -1704,10 +1704,10 @@ "start_time": "2023-11-09T18:40:44.029760988Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.715203Z", - "iopub.status.busy": "2023-11-28T11:17:47.715039Z", - "iopub.status.idle": "2023-11-28T11:17:47.722379Z", - "shell.execute_reply": "2023-11-28T11:17:47.721989Z" + "iopub.execute_input": "2023-12-04T17:41:56.640007Z", + "iopub.status.busy": "2023-12-04T17:41:56.639679Z", + "iopub.status.idle": "2023-12-04T17:41:56.647343Z", + "shell.execute_reply": "2023-12-04T17:41:56.646907Z" } }, "outputs": [ @@ -1943,10 +1943,10 @@ "start_time": "2023-11-09T18:40:44.062252938Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.724304Z", - "iopub.status.busy": "2023-11-28T11:17:47.723989Z", - "iopub.status.idle": "2023-11-28T11:17:47.728041Z", - "shell.execute_reply": "2023-11-28T11:17:47.727575Z" + "iopub.execute_input": "2023-12-04T17:41:56.649359Z", + "iopub.status.busy": "2023-12-04T17:41:56.649023Z", + "iopub.status.idle": "2023-12-04T17:41:56.653560Z", + "shell.execute_reply": "2023-12-04T17:41:56.653028Z" } }, "outputs": [ @@ -2010,10 +2010,10 @@ "start_time": "2023-11-09T18:40:44.071307572Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.729927Z", - "iopub.status.busy": "2023-11-28T11:17:47.729634Z", - "iopub.status.idle": "2023-11-28T11:17:47.732952Z", - "shell.execute_reply": "2023-11-28T11:17:47.732529Z" + "iopub.execute_input": "2023-12-04T17:41:56.655479Z", + "iopub.status.busy": "2023-12-04T17:41:56.655308Z", + "iopub.status.idle": "2023-12-04T17:41:56.658804Z", + "shell.execute_reply": "2023-12-04T17:41:56.658407Z" } }, "outputs": [ @@ -2042,10 +2042,10 @@ "start_time": "2023-11-09T18:40:44.076331708Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.734703Z", - "iopub.status.busy": "2023-11-28T11:17:47.734391Z", - "iopub.status.idle": "2023-11-28T11:17:47.737593Z", - "shell.execute_reply": "2023-11-28T11:17:47.737171Z" + "iopub.execute_input": "2023-12-04T17:41:56.660542Z", + "iopub.status.busy": "2023-12-04T17:41:56.660380Z", + "iopub.status.idle": "2023-12-04T17:41:56.663878Z", + "shell.execute_reply": "2023-12-04T17:41:56.663469Z" } }, "outputs": [ @@ -2073,10 +2073,10 @@ "start_time": "2023-11-09T18:40:44.087011298Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.739197Z", - "iopub.status.busy": "2023-11-28T11:17:47.739044Z", - "iopub.status.idle": "2023-11-28T11:17:47.742428Z", - "shell.execute_reply": "2023-11-28T11:17:47.741999Z" + "iopub.execute_input": "2023-12-04T17:41:56.665519Z", + "iopub.status.busy": "2023-12-04T17:41:56.665362Z", + "iopub.status.idle": "2023-12-04T17:41:56.669189Z", + "shell.execute_reply": "2023-12-04T17:41:56.668684Z" } }, "outputs": [ @@ -2114,10 +2114,10 @@ "start_time": "2023-11-09T18:40:44.098073547Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.744250Z", - "iopub.status.busy": "2023-11-28T11:17:47.743873Z", - "iopub.status.idle": "2023-11-28T11:17:47.747554Z", - "shell.execute_reply": "2023-11-28T11:17:47.747137Z" + "iopub.execute_input": "2023-12-04T17:41:56.671005Z", + "iopub.status.busy": "2023-12-04T17:41:56.670743Z", + "iopub.status.idle": "2023-12-04T17:41:56.674535Z", + "shell.execute_reply": "2023-12-04T17:41:56.674027Z" } }, "outputs": [ @@ -2154,10 +2154,10 @@ "start_time": "2023-11-09T18:40:44.102908180Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.749169Z", - "iopub.status.busy": "2023-11-28T11:17:47.749014Z", - "iopub.status.idle": "2023-11-28T11:17:47.752639Z", - "shell.execute_reply": "2023-11-28T11:17:47.752232Z" + "iopub.execute_input": "2023-12-04T17:41:56.676518Z", + "iopub.status.busy": "2023-12-04T17:41:56.676202Z", + "iopub.status.idle": "2023-12-04T17:41:56.680005Z", + "shell.execute_reply": "2023-12-04T17:41:56.679586Z" } }, "outputs": [ @@ -2203,10 +2203,10 @@ "start_time": "2023-11-09T18:40:44.111345363Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.754238Z", - "iopub.status.busy": "2023-11-28T11:17:47.754083Z", - "iopub.status.idle": "2023-11-28T11:17:47.760987Z", - "shell.execute_reply": "2023-11-28T11:17:47.760569Z" + "iopub.execute_input": "2023-12-04T17:41:56.682018Z", + "iopub.status.busy": "2023-12-04T17:41:56.681612Z", + "iopub.status.idle": "2023-12-04T17:41:56.688657Z", + "shell.execute_reply": "2023-12-04T17:41:56.688138Z" } }, "outputs": [ @@ -2466,10 +2466,10 @@ "start_time": "2023-11-09T18:40:44.159650878Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.762701Z", - "iopub.status.busy": "2023-11-28T11:17:47.762523Z", - "iopub.status.idle": "2023-11-28T11:17:47.839502Z", - "shell.execute_reply": "2023-11-28T11:17:47.839022Z" + "iopub.execute_input": "2023-12-04T17:41:56.690505Z", + "iopub.status.busy": "2023-12-04T17:41:56.690345Z", + "iopub.status.idle": "2023-12-04T17:41:56.774958Z", + "shell.execute_reply": "2023-12-04T17:41:56.774433Z" } }, "outputs": [ @@ -3538,10 +3538,10 @@ "start_time": "2023-11-09T18:40:44.190637837Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.842553Z", - "iopub.status.busy": "2023-11-28T11:17:47.842380Z", - "iopub.status.idle": "2023-11-28T11:17:47.845142Z", - "shell.execute_reply": "2023-11-28T11:17:47.844760Z" + "iopub.execute_input": "2023-12-04T17:41:56.778316Z", + "iopub.status.busy": "2023-12-04T17:41:56.777857Z", + "iopub.status.idle": "2023-12-04T17:41:56.780897Z", + "shell.execute_reply": "2023-12-04T17:41:56.780494Z" } }, "outputs": [], @@ -3558,17 +3558,17 @@ "start_time": "2023-11-09T18:40:44.231188307Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.846992Z", - "iopub.status.busy": "2023-11-28T11:17:47.846598Z", - "iopub.status.idle": "2023-11-28T11:17:47.979966Z", - "shell.execute_reply": "2023-11-28T11:17:47.979511Z" + "iopub.execute_input": "2023-12-04T17:41:56.782600Z", + "iopub.status.busy": "2023-12-04T17:41:56.782441Z", + "iopub.status.idle": "2023-12-04T17:41:56.886504Z", + "shell.execute_reply": "2023-12-04T17:41:56.885850Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" + "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" ] }, "execution_count": 26, @@ -3599,17 +3599,17 @@ "start_time": "2023-11-09T18:40:44.419136722Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:47.982014Z", - "iopub.status.busy": "2023-11-28T11:17:47.981656Z", - "iopub.status.idle": "2023-11-28T11:17:48.112923Z", - "shell.execute_reply": "2023-11-28T11:17:48.112379Z" + "iopub.execute_input": "2023-12-04T17:41:56.888907Z", + "iopub.status.busy": "2023-12-04T17:41:56.888424Z", + "iopub.status.idle": "2023-12-04T17:41:56.993629Z", + "shell.execute_reply": "2023-12-04T17:41:56.992990Z" } }, "outputs": [ { "data": { "text/plain": [ - "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" + "[StairsArtists(stairs=, errorbar=None, legend_artist=None)]" ] }, "execution_count": 27, @@ -3671,10 +3671,10 @@ "start_time": "2023-11-09T18:40:44.667447153Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:48.115258Z", - "iopub.status.busy": "2023-11-28T11:17:48.115080Z", - "iopub.status.idle": "2023-11-28T11:17:48.121737Z", - "shell.execute_reply": "2023-11-28T11:17:48.121232Z" + "iopub.execute_input": "2023-12-04T17:41:56.996104Z", + "iopub.status.busy": "2023-12-04T17:41:56.995564Z", + "iopub.status.idle": "2023-12-04T17:41:57.002935Z", + "shell.execute_reply": "2023-12-04T17:41:57.002420Z" } }, "outputs": [], @@ -3693,10 +3693,10 @@ "start_time": "2023-11-09T18:40:44.667709042Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:48.123881Z", - "iopub.status.busy": "2023-11-28T11:17:48.123564Z", - "iopub.status.idle": "2023-11-28T11:17:48.141127Z", - "shell.execute_reply": "2023-11-28T11:17:48.140586Z" + "iopub.execute_input": "2023-12-04T17:41:57.005059Z", + "iopub.status.busy": "2023-12-04T17:41:57.004786Z", + "iopub.status.idle": "2023-12-04T17:41:57.022033Z", + "shell.execute_reply": "2023-12-04T17:41:57.021435Z" } }, "outputs": [ @@ -3797,8 +3797,8 @@ "\n", "\n", "\n", - "\n", - "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3845,12 +3845,12 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3895,13 +3895,13 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3945,13 +3945,13 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -3994,14 +3994,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4044,14 +4044,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4095,13 +4095,13 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4143,15 +4143,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4194,14 +4194,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4244,15 +4244,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4294,14 +4294,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4344,15 +4344,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4393,15 +4393,15 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4444,14 +4444,14 @@ "\n", "\n", "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", - "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "\n", "\n", "\n", "\n", @@ -4493,16 +4493,16 @@ "\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", @@ -4543,16 +4543,16 @@ "\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", @@ -4593,16 +4593,16 @@ "\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", @@ -4642,18 +4642,18 @@ "\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", @@ -4690,24 +4690,24 @@ "\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", @@ -4731,7 +4731,7 @@ "Regular(50, 2.75, 3.5, name='mass')
    \n", "Regular(20, 0.026503, 0.993653, name='BDT')
    \n", "
    \n", - "Weight() Σ=WeightedSum(value=119975, variance=121183) (WeightedSum(value=120034, variance=121242) with flow)\n", + "Weight() Σ=WeightedSum(value=119937, variance=121100) (WeightedSum(value=119996, variance=121159) with flow)\n", "\n", "\n", "\n", @@ -4741,7 +4741,7 @@ "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=119975, variance=121183) (WeightedSum(value=120034, variance=121242) with flow)" + " storage=Weight()) # Sum: WeightedSum(value=119937, variance=121100) (WeightedSum(value=119996, variance=121159) with flow)" ] }, "execution_count": 29, @@ -4762,10 +4762,10 @@ "start_time": "2023-11-09T18:40:44.698968002Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:48.143603Z", - "iopub.status.busy": "2023-11-28T11:17:48.143260Z", - "iopub.status.idle": "2023-11-28T11:17:48.150286Z", - "shell.execute_reply": "2023-11-28T11:17:48.149869Z" + "iopub.execute_input": "2023-12-04T17:41:57.024756Z", + "iopub.status.busy": "2023-12-04T17:41:57.024425Z", + "iopub.status.idle": "2023-12-04T17:41:57.031568Z", + "shell.execute_reply": "2023-12-04T17:41:57.031138Z" } }, "outputs": [ @@ -4851,7 +4851,7 @@ " 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, 1.02873878e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.10684983e-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", @@ -4861,72 +4861,72 @@ " 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, 2.28620650e+00, 7.31447482e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 2.79741173e+00, 7.74188613e+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", - " 9.09260324e-01, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 8.82743802e-01, 0.00000000e+00, 8.38180760e-01,\n", - " 1.01503800e+00, 2.02417831e+00, 1.89674383e+00, 2.81662094e+01],\n", + " 9.53111850e-01, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", + " 0.00000000e+00, 1.06183569e+00, 0.00000000e+00, 1.21573547e+00,\n", + " 1.31047955e+00, 2.18145621e+00, 2.36209258e+00, 2.65239522e+01],\n", " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 0.00000000e+00,\n", - " 0.00000000e+00, 1.16008830e+00, 3.13624345e+00, 0.00000000e+00,\n", - " 6.73390421e+00, 2.96604153e+00, 7.36997216e+00, 3.25748611e+00,\n", - " 5.49609232e+00, 1.31854009e+01, 7.86885483e+00, 1.24489927e+01,\n", - " 1.63770001e+01, 2.29758143e+01, 4.11486302e+01, 1.02234431e+02],\n", - " [0.00000000e+00, 0.00000000e+00, 1.60862561e+00, 5.97109873e+00,\n", - " 7.05948332e+00, 2.98934289e+01, 4.55108248e+01, 9.39013620e+01,\n", - " 8.43480022e+01, 9.48530231e+01, 9.48648126e+01, 8.17461037e+01,\n", - " 8.00017737e+01, 7.92547766e+01, 1.22842933e+02, 1.11395001e+02,\n", - " 1.25232219e+02, 1.50636994e+02, 2.48868859e+02, 3.39341215e+02],\n", - " [0.00000000e+00, 0.00000000e+00, 1.38243982e+01, 8.28749954e+01,\n", - " 1.68512848e+02, 3.16922061e+02, 5.93730056e+02, 9.64029868e+02,\n", - " 9.72905662e+02, 8.90813572e+02, 8.01532117e+02, 7.63377375e+02,\n", - " 7.40586630e+02, 6.78472334e+02, 6.92876428e+02, 7.13475889e+02,\n", - " 6.93555511e+02, 7.42706227e+02, 9.89600850e+02, 9.89877547e+02],\n", - " [0.00000000e+00, 3.39230369e+00, 4.37444475e+01, 2.79052341e+02,\n", - " 5.76649528e+02, 1.26213495e+03, 2.40909031e+03, 4.10689338e+03,\n", - " 3.84801022e+03, 3.31207544e+03, 3.11455913e+03, 2.69673814e+03,\n", - " 2.61955932e+03, 2.28812738e+03, 2.22728754e+03, 2.22613285e+03,\n", - " 2.16969644e+03, 2.16136299e+03, 2.44767805e+03, 2.33727117e+03],\n", - " [0.00000000e+00, 1.19180116e+00, 6.19695875e+01, 2.74980014e+02,\n", - " 6.85567212e+02, 1.39437909e+03, 2.83135502e+03, 4.70938965e+03,\n", - " 4.40646366e+03, 3.98718829e+03, 3.67919848e+03, 3.18763019e+03,\n", - " 2.98422427e+03, 2.57626441e+03, 2.78625958e+03, 2.44705796e+03,\n", - " 2.44042281e+03, 2.49348858e+03, 2.72376578e+03, 2.63819171e+03],\n", - " [0.00000000e+00, 0.00000000e+00, 1.16615892e+01, 9.40608761e+01,\n", - " 2.37537269e+02, 4.76995846e+02, 8.39916258e+02, 1.51702351e+03,\n", - " 1.48600504e+03, 1.34695434e+03, 1.23261390e+03, 1.15608496e+03,\n", - " 1.18865454e+03, 1.04728468e+03, 1.10321467e+03, 9.82598776e+02,\n", - " 1.02417831e+03, 1.05291055e+03, 1.34063845e+03, 1.34484007e+03],\n", - " [0.00000000e+00, 0.00000000e+00, 1.34974492e+00, 7.30469256e+00,\n", - " 2.16324419e+01, 4.16737562e+01, 9.34958514e+01, 1.38474944e+02,\n", - " 1.78204357e+02, 1.55592072e+02, 1.59386947e+02, 1.37061209e+02,\n", - " 1.65558229e+02, 1.55709606e+02, 2.10451835e+02, 1.81299574e+02,\n", - " 1.92930123e+02, 2.71651697e+02, 3.54077333e+02, 4.50715683e+02],\n", - " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.27681865e+00,\n", - " 1.32175188e+00, 3.99098886e+00, 7.01013573e+00, 6.98603945e+00,\n", - " 1.43322115e+01, 6.11751180e+00, 7.86849068e+00, 1.15307374e+01,\n", - " 1.56016306e+01, 1.17858309e+01, 1.86417230e+01, 2.95314382e+01,\n", - " 1.60343759e+01, 3.14509339e+01, 6.82785177e+01, 1.26944354e+02],\n", + " 0.00000000e+00, 9.44251538e-01, 2.88713398e+00, 0.00000000e+00,\n", + " 8.45066071e+00, 3.02332355e+00, 8.26904642e+00, 4.14772005e+00,\n", + " 5.14308661e+00, 1.20718638e+01, 8.48223904e+00, 1.19994277e+01,\n", + " 1.72882288e+01, 2.18258041e+01, 4.17996096e+01, 9.85537295e+01],\n", + " [0.00000000e+00, 0.00000000e+00, 1.68304711e+00, 6.18935957e+00,\n", + " 6.96520605e+00, 3.20216689e+01, 4.60612194e+01, 9.38953470e+01,\n", + " 8.80652470e+01, 9.56532494e+01, 9.27854584e+01, 8.03515963e+01,\n", + " 8.24784486e+01, 8.52023024e+01, 1.18724314e+02, 1.14080313e+02,\n", + " 1.27318908e+02, 1.57455060e+02, 2.47900738e+02, 3.36633323e+02],\n", + " [0.00000000e+00, 0.00000000e+00, 1.44606217e+01, 8.34145105e+01,\n", + " 1.71492313e+02, 3.22363384e+02, 5.89101908e+02, 9.48758269e+02,\n", + " 9.75152472e+02, 8.79804992e+02, 7.87249949e+02, 7.74013956e+02,\n", + " 7.42999832e+02, 6.83870535e+02, 7.01215618e+02, 7.01124779e+02,\n", + " 6.81486058e+02, 7.36868198e+02, 9.95957304e+02, 9.72624665e+02],\n", + " [0.00000000e+00, 3.29424059e+00, 4.61320215e+01, 2.86908330e+02,\n", + " 5.79941174e+02, 1.25153951e+03, 2.38814914e+03, 4.11956879e+03,\n", + " 3.81596897e+03, 3.30952919e+03, 3.10517725e+03, 2.69929146e+03,\n", + " 2.60423565e+03, 2.30782398e+03, 2.24876298e+03, 2.25875511e+03,\n", + " 2.16848271e+03, 2.15167584e+03, 2.43969324e+03, 2.32950360e+03],\n", + " [0.00000000e+00, 1.09737091e+00, 6.25858881e+01, 2.76626124e+02,\n", + " 6.96458559e+02, 1.38692299e+03, 2.82469706e+03, 4.69725477e+03,\n", + " 4.38981243e+03, 3.97418684e+03, 3.68156843e+03, 3.19575908e+03,\n", + " 2.99205433e+03, 2.58022263e+03, 2.77877407e+03, 2.43990852e+03,\n", + " 2.45380774e+03, 2.50145310e+03, 2.71663416e+03, 2.62867588e+03],\n", + " [0.00000000e+00, 0.00000000e+00, 1.25776872e+01, 9.57191748e+01,\n", + " 2.39925507e+02, 4.81217701e+02, 8.45705493e+02, 1.52444633e+03,\n", + " 1.49107019e+03, 1.33735860e+03, 1.23871453e+03, 1.15108587e+03,\n", + " 1.17148366e+03, 1.05470074e+03, 1.09502003e+03, 9.79475424e+02,\n", + " 1.02190107e+03, 1.05391040e+03, 1.33966776e+03, 1.35876669e+03],\n", + " [0.00000000e+00, 0.00000000e+00, 9.42043472e-01, 6.96800348e+00,\n", + " 2.62515463e+01, 4.17210517e+01, 9.21369793e+01, 1.32324172e+02,\n", + " 1.75748093e+02, 1.56917216e+02, 1.59926647e+02, 1.36242109e+02,\n", + " 1.67337375e+02, 1.50988413e+02, 2.05855126e+02, 1.81559336e+02,\n", + " 1.94425224e+02, 2.66846824e+02, 3.51713065e+02, 4.57783748e+02],\n", + " [0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 9.95872148e-01,\n", + " 1.21081484e+00, 3.95013135e+00, 7.09492786e+00, 7.56748884e+00,\n", + " 1.30331969e+01, 6.19475258e+00, 8.07872281e+00, 1.18482636e+01,\n", + " 1.37234047e+01, 1.23181737e+01, 1.85277758e+01, 2.92038002e+01,\n", + " 1.52673780e+01, 3.55826663e+01, 6.63087401e+01, 1.23699419e+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, 1.01931494e+00, 0.00000000e+00,\n", - " 1.24874482e+00, 0.00000000e+00, 0.00000000e+00, 2.45319517e+00,\n", - " 1.84101839e+00, 3.57063159e+00, 1.25087982e+01, 2.47118592e+01],\n", + " 0.00000000e+00, 0.00000000e+00, 1.25832109e+00, 0.00000000e+00,\n", + " 9.63254747e-01, 0.00000000e+00, 0.00000000e+00, 3.12235888e+00,\n", + " 1.53224368e+00, 3.56613300e+00, 1.28596399e+01, 2.51844033e+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, 2.23677075e+00, 1.06221210e+01],\n", + " 0.00000000e+00, 0.00000000e+00, 1.54332648e+00, 1.07622270e+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, 1.84316940e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.63542026e+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, 3.35102433e+00],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 3.17061091e+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", @@ -4936,7 +4936,7 @@ " 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, 9.27748054e-01],\n", + " 0.00000000e+00, 0.00000000e+00, 0.00000000e+00, 1.07696252e+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", diff --git a/advanced-python/45DemoReweighting.html b/advanced-python/45DemoReweighting.html index fce10c67..a8dac4d8 100644 --- a/advanced-python/45DemoReweighting.html +++ b/advanced-python/45DemoReweighting.html @@ -631,11 +631,11 @@

    train part of original distribution 
    -KS over  hSPD  =  0.5217824079601888
-KS over  pt_b  =  0.21848078606802096
-KS over  pt_phi  =  0.40223137313444957
-KS over  vchi2_b  =  0.40303630845167954
-KS over  mu_pt_sum  =  0.21848078606802096
+KS over  hSPD  =  0.5156855920397914
+KS over  pt_b  =  0.21655790049539936
+KS over  pt_phi  =  0.40098759203992257
+KS over  vchi2_b  =  0.4008577412873192
+KS over  mu_pt_sum  =  0.21655790049539936
    @@ -661,11 +661,11 @@

    test part for target distribution 
    -KS over  hSPD  =  0.5173035116582838
-KS over  pt_b  =  0.21468694609186995
-KS over  pt_phi  =  0.4017446129452247
-KS over  vchi2_b  =  0.4113198101108515
-KS over  mu_pt_sum  =  0.21468694609186995
+KS over  hSPD  =  0.5349948352919339
+KS over  pt_b  =  0.2186267423985006
+KS over  pt_phi  =  0.40570017944398995
+KS over  vchi2_b  =  0.4190193199037889
+KS over  mu_pt_sum  =  0.2186267423985006

    @@ -706,11 +706,11 @@

    Bins-based reweighting in n dimensions 
    -KS over  hSPD  =  0.4130189559394787
-KS over  pt_b  =  0.12554070805787954
-KS over  pt_phi  =  0.2805483040893833
-KS over  vchi2_b  =  0.34945488591829144
-KS over  mu_pt_sum  =  0.12554070805787954
+KS over  hSPD  =  0.422441714758149
+KS over  pt_b  =  0.12677696816879896
+KS over  pt_phi  =  0.28474973396506753
+KS over  vchi2_b  =  0.35898454615318415
+KS over  mu_pt_sum  =  0.12677696816879896

    @@ -745,11 +745,11 @@

    Gradient Boosted Reweighter 
    -KS over  hSPD  =  0.028044752722041433
-KS over  pt_b  =  0.02752853353658835
-KS over  pt_phi  =  0.0376230410446398
-KS over  vchi2_b  =  0.04285824320786513
-KS over  mu_pt_sum  =  0.02752853353658835
+KS over  hSPD  =  0.03217169466295844
+KS over  pt_b  =  0.025191053763857663
+KS over  pt_phi  =  0.01655078927147796
+KS over  vchi2_b  =  0.019564308695496885
+KS over  mu_pt_sum  =  0.025191053763857663

    @@ -792,9 +792,9 @@

    Comparing some simple expressions: 
    -No reweight   KS: 0.5173035116582838
-Bins reweight KS: 0.4130189559394787
-GB Reweight   KS: 0.028044752722041433
+No reweight   KS: 0.5349948352919339
+Bins reweight KS: 0.422441714758149
+GB Reweight   KS: 0.03217169466295844

    @@ -810,9 +810,9 @@

    Comparing some simple expressions: 
    -No reweight   KS: 0.09052572393230945
-Bins reweight KS: 0.11664003875936202
-GB Reweight   KS: 0.01956139636328269
+No reweight   KS: 0.0926377791458517
+Bins reweight KS: 0.11704096606996
+GB Reweight   KS: 0.015420404242764474

    @@ -828,9 +828,9 @@

    Comparing some simple expressions: 
    -No reweight   KS: 0.3670676922222999
-Bins reweight KS: 0.33464930673778887
-GB Reweight   KS: 0.0272815033287529
+No reweight   KS: 0.3840710595045477
+Bins reweight KS: 0.35116495983828233
+GB Reweight   KS: 0.02535331811437247

    @@ -846,9 +846,9 @@

    Comparing some simple expressions: 
    -No reweight   KS: 0.4767574157805494
-Bins reweight KS: 0.38502364989288373
-GB Reweight   KS: 0.03208304094445716
+No reweight   KS: 0.48524080917727963
+Bins reweight KS: 0.38830084545483246
+GB Reweight   KS: 0.026489082799482734

    @@ -864,9 +864,9 @@

    Comparing some simple expressions: 
    -No reweight   KS: 0.49620964558927083
-Bins reweight KS: 0.40270433955614443
-GB Reweight   KS: 0.03122137702195593
+No reweight   KS: 0.500734019400126
+Bins reweight KS: 0.40922205373573045
+GB Reweight   KS: 0.032198216282448566

    @@ -907,9 +907,9 @@

    GB-discrimination 
    -original 0.9352158921718337
-bins 0.9116133380977626
-gb_weights 0.5043413941674013
+original 0.9386297176409792
+bins 0.9144644309485523
+gb_weights 0.5019282739727966
    @@ -963,7 +963,7 @@

    What did just happen? 
    -(671.8749498280204, 71125.93783068833)
+(758.6517790501049, 70277.66517397111)

    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.

    @@ -1007,11 +1007,11 @@

    Folding reweighter 
     KFold prediction using folds column
-KS over  hSPD  =  0.30684969455374966
-KS over  pt_b  =  0.18087404982553457
-KS over  pt_phi  =  0.30812803145616
-KS over  vchi2_b  =  0.2980370949754547
-KS over  mu_pt_sum  =  0.18087404982553457
+KS over  hSPD  =  0.3074714594016793
+KS over  pt_b  =  0.1806792562204062
+KS over  pt_phi  =  0.3075349572920717
+KS over  vchi2_b  =  0.2979131637598553
+KS over  mu_pt_sum  =  0.1806792562204062
    @@ -1050,8 +1050,8 @@

    GB discrimination for reweighting rule 
    -original 0.9366324420340861
-2-folding 0.8267639882957508
+original 0.9370274619025954
+2-folding 0.8260994325408639

    diff --git a/advanced-python/45DemoReweighting.ipynb b/advanced-python/45DemoReweighting.ipynb index e308e871..0a9aa22b 100644 --- a/advanced-python/45DemoReweighting.ipynb +++ b/advanced-python/45DemoReweighting.ipynb @@ -31,10 +31,10 @@ "start_time": "2023-11-09T18:25:53.142978500Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:49.949216Z", - "iopub.status.busy": "2023-11-28T11:17:49.948818Z", - "iopub.status.idle": "2023-11-28T11:17:50.799507Z", - "shell.execute_reply": "2023-11-28T11:17:50.798943Z" + "iopub.execute_input": "2023-12-04T17:41:59.158012Z", + "iopub.status.busy": "2023-12-04T17:41:59.157847Z", + "iopub.status.idle": "2023-12-04T17:42:00.058070Z", + "shell.execute_reply": "2023-12-04T17:42:00.057493Z" } }, "outputs": [], @@ -64,10 +64,10 @@ "start_time": "2023-11-09T18:25:53.489875451Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:17:50.801870Z", - "iopub.status.busy": "2023-11-28T11:17:50.801583Z", - "iopub.status.idle": "2023-11-28T11:22:57.299385Z", - "shell.execute_reply": "2023-11-28T11:22:57.298951Z" + "iopub.execute_input": "2023-12-04T17:42:00.060665Z", + "iopub.status.busy": "2023-12-04T17:42:00.060144Z", + "iopub.status.idle": "2023-12-04T17:48:52.080789Z", + "shell.execute_reply": "2023-12-04T17:48:52.080220Z" } }, "outputs": [], @@ -108,10 +108,10 @@ "start_time": "2023-11-09T18:27:45.799133696Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:22:57.301689Z", - "iopub.status.busy": "2023-11-28T11:22:57.301307Z", - "iopub.status.idle": "2023-11-28T11:22:57.373370Z", - "shell.execute_reply": "2023-11-28T11:22:57.372882Z" + "iopub.execute_input": "2023-12-04T17:48:52.083322Z", + "iopub.status.busy": "2023-12-04T17:48:52.083019Z", + "iopub.status.idle": "2023-12-04T17:48:52.162183Z", + "shell.execute_reply": "2023-12-04T17:48:52.161583Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "start_time": "2023-11-09T18:27:45.965651595Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:22:57.375476Z", - "iopub.status.busy": "2023-11-28T11:22:57.375311Z", - "iopub.status.idle": "2023-11-28T11:22:57.379733Z", - "shell.execute_reply": "2023-11-28T11:22:57.379216Z" + "iopub.execute_input": "2023-12-04T17:48:52.164516Z", + "iopub.status.busy": "2023-12-04T17:48:52.164308Z", + "iopub.status.idle": "2023-12-04T17:48:52.168638Z", + "shell.execute_reply": "2023-12-04T17:48:52.168234Z" } }, "outputs": [], @@ -178,10 +178,10 @@ "start_time": "2023-11-09T18:27:45.971355495Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:22:57.381466Z", - "iopub.status.busy": "2023-11-28T11:22:57.381321Z", - "iopub.status.idle": "2023-11-28T11:22:57.385288Z", - "shell.execute_reply": "2023-11-28T11:22:57.384880Z" + "iopub.execute_input": "2023-12-04T17:48:52.170501Z", + "iopub.status.busy": "2023-12-04T17:48:52.170139Z", + "iopub.status.idle": "2023-12-04T17:48:52.174129Z", + "shell.execute_reply": "2023-12-04T17:48:52.173631Z" } }, "outputs": [ @@ -210,10 +210,10 @@ "start_time": "2023-11-09T18:27:45.983111062Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:22:57.386954Z", - "iopub.status.busy": "2023-11-28T11:22:57.386792Z", - "iopub.status.idle": "2023-11-28T11:23:00.285155Z", - "shell.execute_reply": "2023-11-28T11:23:00.284625Z" + "iopub.execute_input": "2023-12-04T17:48:52.175872Z", + "iopub.status.busy": "2023-12-04T17:48:52.175577Z", + "iopub.status.idle": "2023-12-04T17:48:55.091787Z", + "shell.execute_reply": "2023-12-04T17:48:55.091220Z" } }, "outputs": [ @@ -283,10 +283,10 @@ "start_time": "2023-11-09T18:27:52.282166289Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:23:00.287028Z", - "iopub.status.busy": "2023-11-28T11:23:00.286863Z", - "iopub.status.idle": "2023-11-28T11:23:02.811324Z", - "shell.execute_reply": "2023-11-28T11:23:02.810813Z" + "iopub.execute_input": "2023-12-04T17:48:55.093858Z", + "iopub.status.busy": "2023-12-04T17:48:55.093631Z", + "iopub.status.idle": "2023-12-04T17:48:57.636604Z", + "shell.execute_reply": "2023-12-04T17:48:57.636055Z" } }, "outputs": [ @@ -294,40 +294,40 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.5217824079601888\n" + "KS over hSPD = 0.5156855920397914\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_b = 0.21848078606802096\n" + "KS over pt_b = 0.21655790049539936\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.40223137313444957\n" + "KS over pt_phi = 0.40098759203992257\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over vchi2_b = 0.40303630845167954\n" + "KS over vchi2_b = 0.4008577412873192\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.21848078606802096\n" + "KS over mu_pt_sum = 0.21655790049539936\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -356,10 +356,10 @@ "start_time": "2023-11-09T18:27:56.779869734Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:23:02.813160Z", - "iopub.status.busy": "2023-11-28T11:23:02.812996Z", - "iopub.status.idle": "2023-11-28T11:23:04.432961Z", - "shell.execute_reply": "2023-11-28T11:23:04.432412Z" + "iopub.execute_input": "2023-12-04T17:48:57.638745Z", + "iopub.status.busy": "2023-12-04T17:48:57.638567Z", + "iopub.status.idle": "2023-12-04T17:48:59.270442Z", + "shell.execute_reply": "2023-12-04T17:48:59.269862Z" } }, "outputs": [ @@ -367,28 +367,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.5173035116582838\n", - "KS over pt_b = 0.21468694609186995\n" + "KS over hSPD = 0.5349948352919339\n", + "KS over pt_b = 0.2186267423985006\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.4017446129452247\n", - "KS over vchi2_b = 0.4113198101108515\n" + "KS over pt_phi = 0.40570017944398995\n", + "KS over vchi2_b = 0.4190193199037889\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.21468694609186995\n" + "KS over mu_pt_sum = 0.2186267423985006\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -432,10 +432,10 @@ "start_time": "2023-11-09T18:28:00.206358826Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:23:04.435060Z", - "iopub.status.busy": "2023-11-28T11:23:04.434738Z", - "iopub.status.idle": "2023-11-28T11:23:10.390080Z", - "shell.execute_reply": "2023-11-28T11:23:10.389482Z" + "iopub.execute_input": "2023-12-04T17:48:59.272547Z", + "iopub.status.busy": "2023-12-04T17:48:59.272188Z", + "iopub.status.idle": "2023-12-04T17:49:05.301018Z", + "shell.execute_reply": "2023-12-04T17:49:05.300437Z" } }, "outputs": [ @@ -443,28 +443,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.4130189559394787\n", - "KS over pt_b = 0.12554070805787954\n" + "KS over hSPD = 0.422441714758149\n", + "KS over pt_b = 0.12677696816879896\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.2805483040893833\n" + "KS over pt_phi = 0.28474973396506753\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over vchi2_b = 0.34945488591829144\n", - "KS over mu_pt_sum = 0.12554070805787954\n" + "KS over vchi2_b = 0.35898454615318415\n", + "KS over mu_pt_sum = 0.12677696816879896\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -506,10 +506,10 @@ "start_time": "2023-11-09T18:28:21.649791476Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:23:10.392065Z", - "iopub.status.busy": "2023-11-28T11:23:10.391894Z", - "iopub.status.idle": "2023-11-28T11:27:22.651520Z", - "shell.execute_reply": "2023-11-28T11:27:22.651022Z" + "iopub.execute_input": "2023-12-04T17:49:05.303220Z", + "iopub.status.busy": "2023-12-04T17:49:05.302900Z", + "iopub.status.idle": "2023-12-04T17:53:22.394677Z", + "shell.execute_reply": "2023-12-04T17:53:22.394097Z" } }, "outputs": [ @@ -517,28 +517,28 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.028044752722041433\n", - "KS over pt_b = 0.02752853353658835\n" + "KS over hSPD = 0.03217169466295844\n", + "KS over pt_b = 0.025191053763857663\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.0376230410446398\n", - "KS over vchi2_b = 0.04285824320786513\n" + "KS over pt_phi = 0.01655078927147796\n", + "KS over vchi2_b = 0.019564308695496885\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.02752853353658835\n" + "KS over mu_pt_sum = 0.025191053763857663\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -575,10 +575,10 @@ "start_time": "2023-11-09T18:33:22.284510361Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:22.653714Z", - "iopub.status.busy": "2023-11-28T11:27:22.653320Z", - "iopub.status.idle": "2023-11-28T11:27:22.657028Z", - "shell.execute_reply": "2023-11-28T11:27:22.656637Z" + "iopub.execute_input": "2023-12-04T17:53:22.396855Z", + "iopub.status.busy": "2023-12-04T17:53:22.396512Z", + "iopub.status.idle": "2023-12-04T17:53:22.400063Z", + "shell.execute_reply": "2023-12-04T17:53:22.399648Z" } }, "outputs": [], @@ -604,10 +604,10 @@ "start_time": "2023-11-09T18:33:22.327051319Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:22.658588Z", - "iopub.status.busy": "2023-11-28T11:27:22.658446Z", - "iopub.status.idle": "2023-11-28T11:27:22.727785Z", - "shell.execute_reply": "2023-11-28T11:27:22.727287Z" + "iopub.execute_input": "2023-12-04T17:53:22.401934Z", + "iopub.status.busy": "2023-12-04T17:53:22.401546Z", + "iopub.status.idle": "2023-12-04T17:53:22.472719Z", + "shell.execute_reply": "2023-12-04T17:53:22.472183Z" } }, "outputs": [ @@ -615,9 +615,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.5173035116582838\n", - "Bins reweight KS: 0.4130189559394787\n", - "GB Reweight KS: 0.028044752722041433\n" + "No reweight KS: 0.5349948352919339\n", + "Bins reweight KS: 0.422441714758149\n", + "GB Reweight KS: 0.03217169466295844\n" ] } ], @@ -634,10 +634,10 @@ "start_time": "2023-11-09T18:33:22.415016102Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:22.729551Z", - "iopub.status.busy": "2023-11-28T11:27:22.729404Z", - "iopub.status.idle": "2023-11-28T11:27:22.969410Z", - "shell.execute_reply": "2023-11-28T11:27:22.968927Z" + "iopub.execute_input": "2023-12-04T17:53:22.474856Z", + "iopub.status.busy": "2023-12-04T17:53:22.474436Z", + "iopub.status.idle": "2023-12-04T17:53:22.715958Z", + "shell.execute_reply": "2023-12-04T17:53:22.715391Z" } }, "outputs": [ @@ -645,15 +645,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.09052572393230945\n" + "No reweight KS: 0.0926377791458517\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.11664003875936202\n", - "GB Reweight KS: 0.01956139636328269\n" + "Bins reweight KS: 0.11704096606996\n", + "GB Reweight KS: 0.015420404242764474\n" ] } ], @@ -670,10 +670,10 @@ "start_time": "2023-11-09T18:33:22.656149470Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:22.971340Z", - "iopub.status.busy": "2023-11-28T11:27:22.971162Z", - "iopub.status.idle": "2023-11-28T11:27:23.213911Z", - "shell.execute_reply": "2023-11-28T11:27:23.213353Z" + "iopub.execute_input": "2023-12-04T17:53:22.718085Z", + "iopub.status.busy": "2023-12-04T17:53:22.717764Z", + "iopub.status.idle": "2023-12-04T17:53:22.958996Z", + "shell.execute_reply": "2023-12-04T17:53:22.958520Z" } }, "outputs": [ @@ -681,15 +681,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.3670676922222999\n" + "No reweight KS: 0.3840710595045477\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.33464930673778887\n", - "GB Reweight KS: 0.0272815033287529\n" + "Bins reweight KS: 0.35116495983828233\n", + "GB Reweight KS: 0.02535331811437247\n" ] } ], @@ -706,10 +706,10 @@ "start_time": "2023-11-09T18:33:22.899381940Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:23.216051Z", - "iopub.status.busy": "2023-11-28T11:27:23.215677Z", - "iopub.status.idle": "2023-11-28T11:27:23.457484Z", - "shell.execute_reply": "2023-11-28T11:27:23.456957Z" + "iopub.execute_input": "2023-12-04T17:53:22.961100Z", + "iopub.status.busy": "2023-12-04T17:53:22.960666Z", + "iopub.status.idle": "2023-12-04T17:53:23.204401Z", + "shell.execute_reply": "2023-12-04T17:53:23.203850Z" } }, "outputs": [ @@ -717,15 +717,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.4767574157805494\n" + "No reweight KS: 0.48524080917727963\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.38502364989288373\n", - "GB Reweight KS: 0.03208304094445716\n" + "Bins reweight KS: 0.38830084545483246\n", + "GB Reweight KS: 0.026489082799482734\n" ] } ], @@ -742,10 +742,10 @@ "start_time": "2023-11-09T18:33:23.155057276Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:23.459661Z", - "iopub.status.busy": "2023-11-28T11:27:23.459296Z", - "iopub.status.idle": "2023-11-28T11:27:23.702069Z", - "shell.execute_reply": "2023-11-28T11:27:23.701576Z" + "iopub.execute_input": "2023-12-04T17:53:23.206298Z", + "iopub.status.busy": "2023-12-04T17:53:23.206133Z", + "iopub.status.idle": "2023-12-04T17:53:23.448907Z", + "shell.execute_reply": "2023-12-04T17:53:23.448344Z" } }, "outputs": [ @@ -753,15 +753,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "No reweight KS: 0.49620964558927083\n" + "No reweight KS: 0.500734019400126\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "Bins reweight KS: 0.40270433955614443\n", - "GB Reweight KS: 0.03122137702195593\n" + "Bins reweight KS: 0.40922205373573045\n", + "GB Reweight KS: 0.032198216282448566\n" ] } ], @@ -791,10 +791,10 @@ "start_time": "2023-11-09T18:33:23.345111007Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:23.704162Z", - "iopub.status.busy": "2023-11-28T11:27:23.703764Z", - "iopub.status.idle": "2023-11-28T11:27:41.324207Z", - "shell.execute_reply": "2023-11-28T11:27:41.323683Z" + "iopub.execute_input": "2023-12-04T17:53:23.450940Z", + "iopub.status.busy": "2023-12-04T17:53:23.450770Z", + "iopub.status.idle": "2023-12-04T17:53:41.437859Z", + "shell.execute_reply": "2023-12-04T17:53:41.437285Z" } }, "outputs": [ @@ -802,21 +802,21 @@ "name": "stdout", "output_type": "stream", "text": [ - "original 0.9352158921718337\n" + "original 0.9386297176409792\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "bins 0.9116133380977626\n" + "bins 0.9144644309485523\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "gb_weights 0.5043413941674013\n" + "gb_weights 0.5019282739727966\n" ] } ], @@ -872,10 +872,10 @@ "start_time": "2023-11-09T18:33:42.207967134Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:41.326135Z", - "iopub.status.busy": "2023-11-28T11:27:41.325970Z", - "iopub.status.idle": "2023-11-28T11:27:41.759149Z", - "shell.execute_reply": "2023-11-28T11:27:41.758593Z" + "iopub.execute_input": "2023-12-04T17:53:41.439898Z", + "iopub.status.busy": "2023-12-04T17:53:41.439583Z", + "iopub.status.idle": "2023-12-04T17:53:41.872750Z", + "shell.execute_reply": "2023-12-04T17:53:41.872209Z" } }, "outputs": [ @@ -891,7 +891,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -915,17 +915,17 @@ "start_time": "2023-11-09T18:33:43.723035309Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:41.760968Z", - "iopub.status.busy": "2023-11-28T11:27:41.760817Z", - "iopub.status.idle": "2023-11-28T11:27:41.764619Z", - "shell.execute_reply": "2023-11-28T11:27:41.764141Z" + "iopub.execute_input": "2023-12-04T17:53:41.874746Z", + "iopub.status.busy": "2023-12-04T17:53:41.874575Z", + "iopub.status.idle": "2023-12-04T17:53:41.878157Z", + "shell.execute_reply": "2023-12-04T17:53:41.877764Z" } }, "outputs": [ { "data": { "text/plain": [ - "(671.8749498280204, 71125.93783068833)" + "(758.6517790501049, 70277.66517397111)" ] }, "execution_count": 19, @@ -974,10 +974,10 @@ "start_time": "2023-11-09T18:33:43.728815796Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:27:41.766537Z", - "iopub.status.busy": "2023-11-28T11:27:41.766119Z", - "iopub.status.idle": "2023-11-28T11:32:17.186909Z", - "shell.execute_reply": "2023-11-28T11:32:17.186346Z" + "iopub.execute_input": "2023-12-04T17:53:41.879908Z", + "iopub.status.busy": "2023-12-04T17:53:41.879752Z", + "iopub.status.idle": "2023-12-04T17:58:25.787252Z", + "shell.execute_reply": "2023-12-04T17:58:25.786647Z" } }, "outputs": [ @@ -992,40 +992,40 @@ "name": "stdout", "output_type": "stream", "text": [ - "KS over hSPD = 0.30684969455374966\n" + "KS over hSPD = 0.3074714594016793\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_b = 0.18087404982553457\n" + "KS over pt_b = 0.1806792562204062\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over pt_phi = 0.30812803145616\n" + "KS over pt_phi = 0.3075349572920717\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over vchi2_b = 0.2980370949754547\n" + "KS over vchi2_b = 0.2979131637598553\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "KS over mu_pt_sum = 0.18087404982553457\n" + "KS over mu_pt_sum = 0.1806792562204062\n" ] }, { "data": { - 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    " ] @@ -1067,10 +1067,10 @@ "start_time": "2023-11-09T18:38:48.738767636Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:32:17.188970Z", - "iopub.status.busy": "2023-11-28T11:32:17.188788Z", - "iopub.status.idle": "2023-11-28T11:33:18.471406Z", - "shell.execute_reply": "2023-11-28T11:33:18.470964Z" + "iopub.execute_input": "2023-12-04T17:58:25.789356Z", + "iopub.status.busy": "2023-12-04T17:58:25.789167Z", + "iopub.status.idle": "2023-12-04T17:59:31.412992Z", + "shell.execute_reply": "2023-12-04T17:59:31.412463Z" } }, "outputs": [ @@ -1078,14 +1078,14 @@ "name": "stdout", "output_type": "stream", "text": [ - "original 0.9366324420340861\n" + "original 0.9370274619025954\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "2-folding 0.8267639882957508\n" + "2-folding 0.8260994325408639\n" ] } ], @@ -1115,10 +1115,10 @@ "start_time": "2023-11-09T18:40:00.647093226Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:18.473203Z", - "iopub.status.busy": "2023-11-28T11:33:18.473044Z", - "iopub.status.idle": "2023-11-28T11:33:18.887998Z", - "shell.execute_reply": "2023-11-28T11:33:18.887483Z" + "iopub.execute_input": "2023-12-04T17:59:31.414978Z", + "iopub.status.busy": "2023-12-04T17:59:31.414805Z", + "iopub.status.idle": "2023-12-04T17:59:31.838269Z", + "shell.execute_reply": "2023-12-04T17:59:31.837759Z" } }, "outputs": [ @@ -1134,7 +1134,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
    " ] diff --git a/advanced-python/50LikelihoodInference.html b/advanced-python/50LikelihoodInference.html index c1b5074a..f3dabefb 100644 --- a/advanced-python/50LikelihoodInference.html +++ b/advanced-python/50LikelihoodInference.html @@ -715,7 +715,7 @@

    Loss< 
     FitResult of
-<UnbinnedNLL model=[<zfit.<class 'zfit.models.dist_tfp.Gauss'>  params=[mu, sigma]] data=[<zfit.core.data.Data object at 0x7fbcf8e71b50>] constraints=[]>
+<UnbinnedNLL model=[<zfit.<class 'zfit.models.dist_tfp.Gauss'>  params=[mu, sigma]] data=[<zfit.core.data.Data object at 0x7fdc40095250>] constraints=[]>
 with
 <Minuit Minuit tol=0.001>
 
@@ -774,23 +774,23 @@ 
    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 0x7fbcf0ac5590>] constraints=[]>
+<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7fdc3cf05f50>] constraints=[]>
 with
 <Minuit Minuit tol=0.001>
 
 ╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕
 │  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │
 ╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡
-│  True   │    True     │      False       │ 2.4e-05 │             -2338.81 |  9804.947 │
+│  True   │    True     │      False       │ 5.7e-05 │             -2306.37 |  9820.202 │
 ╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛
 
 Parameters
 name         value  (rounded)    at limit
 ---------  ------------------  ----------
-bkg_yield             6019.62       False
-sig_yield             126.399       False
-lambda               -1.04872       False
-mu                    3.09438       False
+bkg_yield             6013.29       False
+sig_yield             100.447       False
+lambda              -0.988432       False
+mu                    3.09726       False
    @@ -824,23 +824,23 @@

    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 0x7fbcf0ac5590>] constraints=[]>
+<ExtendedUnbinnedNLL model=[<zfit.<class 'zfit.models.functor.SumPDF'>  params=[Composed_autoparam_1, Composed_autoparam_2]] data=[<zfit.core.data.Data object at 0x7fdc3cf05f50>] constraints=[]>
 with
 <Minuit Minuit tol=0.001>
 
 ╒═════════╤═════════════╤══════════════════╤═════════╤══════════════════════════════════╕
 │  valid  │  converged  │  param at limit  │   edm   │   approx. fmin (full | internal) │
 ╞═════════╪═════════════╪══════════════════╪═════════╪══════════════════════════════════╡
-│  True   │    True     │      False       │ 2.4e-05 │             -2338.81 |  9804.947 │
+│  True   │    True     │      False       │ 5.7e-05 │             -2306.37 |  9820.202 │
 ╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛
 
 Parameters
 name         value  (rounded)        hesse               errors         minuit_minos    at limit
 ---------  ------------------  -----------  -------------------  -------------------  ----------
-bkg_yield             6019.62  +/-      81  -     81   +     81  -     81   +     81       False
-sig_yield             126.399  +/-      26  -     25   +     26  -     25   +     26       False
-lambda               -1.04872  +/-   0.065  -  0.065   +  0.064  -  0.065   +  0.064       False
-mu                    3.09438  +/-  0.0044  - 0.0045   + 0.0043  - 0.0045   + 0.0043       False
+bkg_yield             6013.29  +/-      81  -     80   +     82  -     80   +     82       False
+sig_yield             100.447  +/-      25  -     25   +     25  -     25   +     25       False
+lambda              -0.988432  +/-   0.065  -  0.065   +  0.064  -  0.065   +  0.064       False
+mu                    3.09726  +/-  0.0049  -  0.005   +  0.005  -  0.005   +  0.005       False

    @@ -912,8 +912,8 @@

    Fixing parameters 
     
-p_value for the Null hypothesis = 6.263464435996013e-08
-Significance (in units of sigma) = 5.285635234552657
+p_value for the Null hypothesis = 1.0159465838377457e-05
+Significance (in units of sigma) = 4.261357037247675

    @@ -922,7 +922,7 @@

    Fixing parameters 
    -(6.263464435996013e-08, 5.285635234552657)
+(1.0159465838377457e-05, 4.261357037247675)

    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 a86284e2..0808541c 100644 --- a/advanced-python/50LikelihoodInference.ipynb +++ b/advanced-python/50LikelihoodInference.ipynb @@ -47,10 +47,10 @@ "start_time": "2023-11-09T18:41:03.508890856Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:20.851448Z", - "iopub.status.busy": "2023-11-28T11:33:20.851282Z", - "iopub.status.idle": "2023-11-28T11:33:21.554914Z", - "shell.execute_reply": "2023-11-28T11:33:21.554346Z" + "iopub.execute_input": "2023-12-04T17:59:33.838673Z", + "iopub.status.busy": "2023-12-04T17:59:33.838503Z", + "iopub.status.idle": "2023-12-04T17:59:34.552681Z", + "shell.execute_reply": "2023-12-04T17:59:34.552103Z" } }, "outputs": [], @@ -69,10 +69,10 @@ "start_time": "2023-11-09T18:41:04.545771470Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:21.557293Z", - "iopub.status.busy": "2023-11-28T11:33:21.556897Z", - "iopub.status.idle": "2023-11-28T11:33:24.512831Z", - "shell.execute_reply": "2023-11-28T11:33:24.512262Z" + "iopub.execute_input": "2023-12-04T17:59:34.555073Z", + "iopub.status.busy": "2023-12-04T17:59:34.554847Z", + "iopub.status.idle": "2023-12-04T17:59:37.576791Z", + "shell.execute_reply": "2023-12-04T17:59:37.576214Z" } }, "outputs": [ @@ -102,10 +102,10 @@ "start_time": "2023-11-09T18:41:04.552563192Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.515355Z", - "iopub.status.busy": "2023-11-28T11:33:24.514837Z", - "iopub.status.idle": "2023-11-28T11:33:24.553027Z", - "shell.execute_reply": "2023-11-28T11:33:24.552469Z" + "iopub.execute_input": "2023-12-04T17:59:37.579450Z", + "iopub.status.busy": "2023-12-04T17:59:37.579052Z", + "iopub.status.idle": "2023-12-04T17:59:37.618031Z", + "shell.execute_reply": "2023-12-04T17:59:37.617487Z" } }, "outputs": [], @@ -136,10 +136,10 @@ "start_time": "2023-11-09T18:41:04.628270711Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.555137Z", - "iopub.status.busy": "2023-11-28T11:33:24.554969Z", - "iopub.status.idle": "2023-11-28T11:33:24.571691Z", - "shell.execute_reply": "2023-11-28T11:33:24.571279Z" + "iopub.execute_input": "2023-12-04T17:59:37.620382Z", + "iopub.status.busy": "2023-12-04T17:59:37.620178Z", + "iopub.status.idle": "2023-12-04T17:59:37.638281Z", + "shell.execute_reply": "2023-12-04T17:59:37.637810Z" } }, "outputs": [], @@ -156,10 +156,10 @@ "start_time": "2023-11-09T18:41:04.636406001Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.573524Z", - "iopub.status.busy": "2023-11-28T11:33:24.573354Z", - "iopub.status.idle": "2023-11-28T11:33:24.575634Z", - "shell.execute_reply": "2023-11-28T11:33:24.575226Z" + "iopub.execute_input": "2023-12-04T17:59:37.640362Z", + "iopub.status.busy": "2023-12-04T17:59:37.640029Z", + "iopub.status.idle": "2023-12-04T17:59:37.642400Z", + "shell.execute_reply": "2023-12-04T17:59:37.641994Z" } }, "outputs": [], @@ -179,10 +179,10 @@ "start_time": "2023-11-09T18:41:04.643452582Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.577268Z", - "iopub.status.busy": "2023-11-28T11:33:24.577107Z", - "iopub.status.idle": "2023-11-28T11:33:24.795441Z", - "shell.execute_reply": "2023-11-28T11:33:24.794861Z" + "iopub.execute_input": "2023-12-04T17:59:37.644344Z", + "iopub.status.busy": "2023-12-04T17:59:37.644049Z", + "iopub.status.idle": "2023-12-04T17:59:37.883214Z", + "shell.execute_reply": "2023-12-04T17:59:37.882624Z" } }, "outputs": [], @@ -211,10 +211,10 @@ "start_time": "2023-11-09T18:41:04.910984590Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.797761Z", - "iopub.status.busy": "2023-11-28T11:33:24.797427Z", - "iopub.status.idle": "2023-11-28T11:33:24.823503Z", - "shell.execute_reply": "2023-11-28T11:33:24.823102Z" + "iopub.execute_input": "2023-12-04T17:59:37.885752Z", + "iopub.status.busy": "2023-12-04T17:59:37.885322Z", + "iopub.status.idle": "2023-12-04T17:59:37.912587Z", + "shell.execute_reply": "2023-12-04T17:59:37.912026Z" } }, "outputs": [], @@ -236,10 +236,10 @@ "start_time": "2023-11-09T18:41:04.959061502Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.825472Z", - "iopub.status.busy": "2023-11-28T11:33:24.825147Z", - "iopub.status.idle": "2023-11-28T11:33:24.828095Z", - "shell.execute_reply": "2023-11-28T11:33:24.827688Z" + "iopub.execute_input": "2023-12-04T17:59:37.915060Z", + "iopub.status.busy": "2023-12-04T17:59:37.914642Z", + "iopub.status.idle": "2023-12-04T17:59:37.917968Z", + "shell.execute_reply": "2023-12-04T17:59:37.917444Z" } }, "outputs": [], @@ -257,10 +257,10 @@ "start_time": "2023-11-09T18:41:04.959203182Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.829848Z", - "iopub.status.busy": "2023-11-28T11:33:24.829556Z", - "iopub.status.idle": "2023-11-28T11:33:24.832420Z", - "shell.execute_reply": "2023-11-28T11:33:24.831937Z" + "iopub.execute_input": "2023-12-04T17:59:37.919799Z", + "iopub.status.busy": "2023-12-04T17:59:37.919424Z", + "iopub.status.idle": "2023-12-04T17:59:37.922306Z", + "shell.execute_reply": "2023-12-04T17:59:37.921829Z" } }, "outputs": [], @@ -278,10 +278,10 @@ "start_time": "2023-11-09T18:41:04.959353512Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.834212Z", - "iopub.status.busy": "2023-11-28T11:33:24.833848Z", - "iopub.status.idle": "2023-11-28T11:33:24.839153Z", - "shell.execute_reply": "2023-11-28T11:33:24.838650Z" + "iopub.execute_input": "2023-12-04T17:59:37.924105Z", + "iopub.status.busy": "2023-12-04T17:59:37.923727Z", + "iopub.status.idle": "2023-12-04T17:59:37.929061Z", + "shell.execute_reply": "2023-12-04T17:59:37.928643Z" } }, "outputs": [], @@ -307,10 +307,10 @@ "start_time": "2023-11-09T18:41:04.959441956Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.840944Z", - "iopub.status.busy": "2023-11-28T11:33:24.840627Z", - "iopub.status.idle": "2023-11-28T11:33:24.845390Z", - "shell.execute_reply": "2023-11-28T11:33:24.844886Z" + "iopub.execute_input": "2023-12-04T17:59:37.930939Z", + "iopub.status.busy": "2023-12-04T17:59:37.930618Z", + "iopub.status.idle": "2023-12-04T17:59:37.935303Z", + "shell.execute_reply": "2023-12-04T17:59:37.934904Z" } }, "outputs": [], @@ -354,10 +354,10 @@ "start_time": "2023-11-09T18:41:04.959591758Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:24.847160Z", - "iopub.status.busy": "2023-11-28T11:33:24.846909Z", - "iopub.status.idle": "2023-11-28T11:33:25.171562Z", - "shell.execute_reply": "2023-11-28T11:33:25.171035Z" + "iopub.execute_input": "2023-12-04T17:59:37.937169Z", + "iopub.status.busy": "2023-12-04T17:59:37.936776Z", + "iopub.status.idle": "2023-12-04T17:59:38.265306Z", + "shell.execute_reply": "2023-12-04T17:59:38.264755Z" } }, "outputs": [ @@ -373,7 +373,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
    " ] @@ -404,10 +404,10 @@ "start_time": "2023-11-09T18:41:07.018115082Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:25.173667Z", - "iopub.status.busy": "2023-11-28T11:33:25.173338Z", - "iopub.status.idle": "2023-11-28T11:33:25.332984Z", - "shell.execute_reply": "2023-11-28T11:33:25.332553Z" + "iopub.execute_input": "2023-12-04T17:59:38.267371Z", + "iopub.status.busy": "2023-12-04T17:59:38.267105Z", + "iopub.status.idle": "2023-12-04T17:59:38.426943Z", + "shell.execute_reply": "2023-12-04T17:59:38.426489Z" } }, "outputs": [ @@ -441,10 +441,10 @@ "start_time": "2023-11-09T18:41:07.282948708Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:25.335175Z", - "iopub.status.busy": "2023-11-28T11:33:25.334797Z", - "iopub.status.idle": "2023-11-28T11:33:25.337436Z", - "shell.execute_reply": "2023-11-28T11:33:25.337011Z" + "iopub.execute_input": "2023-12-04T17:59:38.429048Z", + "iopub.status.busy": "2023-12-04T17:59:38.428717Z", + "iopub.status.idle": "2023-12-04T17:59:38.431485Z", + "shell.execute_reply": "2023-12-04T17:59:38.430993Z" } }, "outputs": [], @@ -463,10 +463,10 @@ "start_time": "2023-11-09T18:41:07.283066840Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:25.339270Z", - "iopub.status.busy": "2023-11-28T11:33:25.338984Z", - "iopub.status.idle": "2023-11-28T11:33:25.812793Z", - "shell.execute_reply": "2023-11-28T11:33:25.812354Z" + "iopub.execute_input": "2023-12-04T17:59:38.433379Z", + "iopub.status.busy": "2023-12-04T17:59:38.433058Z", + "iopub.status.idle": "2023-12-04T17:59:38.901415Z", + "shell.execute_reply": "2023-12-04T17:59:38.900962Z" } }, "outputs": [ @@ -474,7 +474,7 @@ "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", @@ -518,10 +518,10 @@ "start_time": "2023-11-09T18:41:08.067454337Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:25.814900Z", - "iopub.status.busy": "2023-11-28T11:33:25.814497Z", - "iopub.status.idle": "2023-11-28T11:33:25.816953Z", - "shell.execute_reply": "2023-11-28T11:33:25.816570Z" + "iopub.execute_input": "2023-12-04T17:59:38.903586Z", + "iopub.status.busy": "2023-12-04T17:59:38.903257Z", + "iopub.status.idle": "2023-12-04T17:59:38.905712Z", + "shell.execute_reply": "2023-12-04T17:59:38.905306Z" } }, "outputs": [], @@ -538,10 +538,10 @@ "start_time": "2023-11-09T18:41:08.071212416Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:25.818578Z", - "iopub.status.busy": "2023-11-28T11:33:25.818419Z", - "iopub.status.idle": "2023-11-28T11:33:26.115581Z", - "shell.execute_reply": "2023-11-28T11:33:26.115111Z" + "iopub.execute_input": "2023-12-04T17:59:38.907349Z", + "iopub.status.busy": "2023-12-04T17:59:38.907202Z", + "iopub.status.idle": "2023-12-04T17:59:39.204155Z", + "shell.execute_reply": "2023-12-04T17:59:39.203633Z" } }, "outputs": [], @@ -558,10 +558,10 @@ "start_time": "2023-11-09T18:41:08.679126453Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:26.117610Z", - "iopub.status.busy": "2023-11-28T11:33:26.117441Z", - "iopub.status.idle": "2023-11-28T11:33:26.589890Z", - "shell.execute_reply": "2023-11-28T11:33:26.589421Z" + "iopub.execute_input": "2023-12-04T17:59:39.206572Z", + "iopub.status.busy": "2023-12-04T17:59:39.206203Z", + "iopub.status.idle": "2023-12-04T17:59:39.674277Z", + "shell.execute_reply": "2023-12-04T17:59:39.673806Z" } }, "outputs": [], @@ -578,10 +578,10 @@ "start_time": "2023-11-09T18:41:09.483882912Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:26.591965Z", - "iopub.status.busy": "2023-11-28T11:33:26.591795Z", - "iopub.status.idle": "2023-11-28T11:33:26.601683Z", - "shell.execute_reply": "2023-11-28T11:33:26.601264Z" + "iopub.execute_input": "2023-12-04T17:59:39.676575Z", + "iopub.status.busy": "2023-12-04T17:59:39.676192Z", + "iopub.status.idle": "2023-12-04T17:59:39.685748Z", + "shell.execute_reply": "2023-12-04T17:59:39.685341Z" } }, "outputs": [ @@ -589,23 +589,23 @@ "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 │ 2.4e-05 │ -2338.81 | 9804.947 │\n", + "│ \u001b[48;5;10mTrue\u001b[0m │ True\u001b[0m │ False\u001b[0m │ 5.7e-05 │ -2306.37 | 9820.202 │\n", "╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛\n", "\n", "\u001b[1mParameters\n", "\u001b[22mname value (rounded) at limit\n", "--------- ------------------ ----------\n", - "bkg_yield 6019.62 False\u001b[0m\n", - "sig_yield 126.399 False\u001b[0m\n", - "lambda -1.04872 False\u001b[0m\n", - "mu 3.09438 False\u001b[0m" + "bkg_yield 6013.29 False\u001b[0m\n", + "sig_yield 100.447 False\u001b[0m\n", + "lambda -0.988432 False\u001b[0m\n", + "mu 3.09726 False\u001b[0m" ] }, "execution_count": 19, @@ -626,10 +626,10 @@ "start_time": "2023-11-09T18:41:09.499282781Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:26.603505Z", - "iopub.status.busy": "2023-11-28T11:33:26.603191Z", - "iopub.status.idle": "2023-11-28T11:33:27.350165Z", - "shell.execute_reply": "2023-11-28T11:33:27.349639Z" + "iopub.execute_input": "2023-12-04T17:59:39.687543Z", + "iopub.status.busy": "2023-12-04T17:59:39.687233Z", + "iopub.status.idle": "2023-12-04T17:59:40.505155Z", + "shell.execute_reply": "2023-12-04T17:59:40.504655Z" } }, "outputs": [ @@ -671,7 +671,7 @@ "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", @@ -706,7 +706,7 @@ "name": "stdout", "output_type": "stream", "text": [ - " │ 2.4e-05 │ -2338.81 | 9804.947 │\n", + " │ 5.7e-05 │ -2306.37 | 9820.202 │\n", "╘═════════╧═════════════╧══════════════════╧═════════╧══════════════════════════════════╛\n", "\n" ] @@ -724,7 +724,7 @@ "text": [ "name value (rounded) hesse errors minuit_minos at limit\n", "--------- ------------------ ----------- ------------------- ------------------- ----------\n", - "bkg_yield 6019.62 +/- 81 - 81 + 81 - 81 + 81 False" + "bkg_yield 6013.29 +/- 81 - 80 + 82 - 80 + 82 False" ] }, { @@ -732,7 +732,7 @@ "output_type": "stream", "text": [ "\n", - "sig_yield 126.399 +/- 26 - 25 + 26 - 25 + 26 False" + "sig_yield 100.447 +/- 25 - 25 + 25 - 25 + 25 False" ] }, { @@ -740,7 +740,7 @@ "output_type": "stream", "text": [ "\n", - "lambda -1.04872 +/- 0.065 - 0.065 + 0.064 - 0.065 + 0.064 False" + "lambda -0.988432 +/- 0.065 - 0.065 + 0.064 - 0.065 + 0.064 False" ] }, { @@ -748,7 +748,7 @@ "output_type": "stream", "text": [ "\n", - "mu 3.09438 +/- 0.0044 - 0.0045 + 0.0043 - 0.0045 + 0.0043 False" + "mu 3.09726 +/- 0.0049 - 0.005 + 0.005 - 0.005 + 0.005 False" ] }, { @@ -774,10 +774,10 @@ "start_time": "2023-11-09T18:41:10.991252129Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:27.353203Z", - "iopub.status.busy": "2023-11-28T11:33:27.353024Z", - "iopub.status.idle": "2023-11-28T11:33:27.556172Z", - "shell.execute_reply": "2023-11-28T11:33:27.555633Z" + "iopub.execute_input": "2023-12-04T17:59:40.507276Z", + "iopub.status.busy": "2023-12-04T17:59:40.506959Z", + "iopub.status.idle": "2023-12-04T17:59:40.705497Z", + "shell.execute_reply": "2023-12-04T17:59:40.704947Z" } }, "outputs": [ @@ -793,7 +793,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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7e/7X+0VOTNjIhy0D8Na1Ak1xPWU3/9vvx7Dt71K6Z3tiEhPNHaoo4rYeTm2VaVg5AWXIOFHx9LChdiU7lII9J+IKMjwhhMgTSWZMQKfTMbR1O/aOW8KCnhtSd+w22BOrv4R92yv473qdoQumEVwEF56TbR3MLzbewL4/U5OTxlWyXkumXSMnAAKPy7gZIYT1kGTGxJ6uUYP1o75kp/8eWjj5oUv0IEUfwd57P9J9aTu6zHqdDUEnzB1mgShM2zpYsxPn40lMUviUtKFMiay7j9o0SE1mzlxKICompSDCE0KIPJNkJp+ULV6c8S16cHFSEM+WfJti1AUtmYsJm3hj2/M0+fJZvtq0hoSkJHOHmi8K27YO1uzo2XgAmtRwIJMlkIxKedhQwdsWg4Lj5+ILIDohhMg7SWbymUpOZlDdZhydsIaZHVZQ2e4ZUDY84C9mnxpPg5ltef2nWdy4/8DcoZqUbOtgOY6lJTM1HbJVvmmt1HKHz0gyI4SwDoUymbHUcRq9GzVhyxvfs3FwIL7FR6A3uJOou8WmsK9p+6Mvfea8w+5z58wdpknItg6W4db9ZK7fTkangwbVs5fMNKvtCMCRM/GZ/j8UQghLUuiSGVON0/D29mbSpEl4e3ubPMbq3t4sGjaRY2P281KVKbgYqqB08ZyKWcWw33vQasYgfgjcQnKK9Y5ZkG0dLENaq0yN8na4OGbv4163sj0Odhr3IlO4dKNwdoMKIQqXQpXMmHKchre3N5MnT86XZCaNq6MDH/UdzIkJfzCl1QLK2LQFpXHLcIjpR0fS4KtOvPPrj9yLMs9+OXlp4ZJtHSzDsXM562ICsLPVqF81dduD48HS1SSEsHyFKpmx1nEaOp2Owa2eZtfY+ax4fiuN3QahMzgTp7vKqivTaDHXl/7zPuTwxYsFFlNeW7gsbVuHsLAwJk+eTFgRmh5vMChjMtO4Rmoyk90Wx/pVU8v/dSHrqdxCCGEJClUyUxjGaTSpWJFfXvmY/a/tpa3rK+jjS2HQRXMs6icG/tYV3xlDmBe4NV+7oEzVwmVJ2zqEhYUxZcqUIpXMXLieRFSMAScHjZoVU1tastviWO/vlpmTFxIwGGTcjBDCshWqZKYwjdMo6ebG6KadCfnwEIN9PsBL1xI0RZhhP58ffY36X3XgzeVzCIuINPm1TdnCVaVKFcaMGQPItg4F7ejZ1IXyGlRzwEb/hDnZ/1K1rB0OdhpRMQau3pKtDYQQlq1QJTOFcpyGUvSpUZ9945byU99NNHIbiM7gTLzuOr9f/5I281rRZ8477DhzymSXLAwtXILHuphywtZGo2ZFOwD+CpFxM0IIy5ajZGbatGk0bdoUV1dXSpUqRd++fQkODk5Xxs/PD03T0r1atGiRrkxCQgJjxoyhRIkSODs707t3b65fv57nm7G0cRqm1qJKVX595RMOvraPFyp8gJOhonEW1H829qH5Vy8wY/O6PC/EV5hauIqq+EQDpy6mjndpnIPBv4+qV0XGzQghrEOOkpldu3bx+uuvc/DgQbZu3UpycjJdunQhJiYmXblnnnmGsLAw42vjxo3pzo8dO5bVq1ezfPly9u7dS3R0ND179jSOz8gLSxqnkV+Ku7ny2fPD+HPCFqa0WkA5m/agdNxVx/n+5Fs0mPk0ry6ZyeXbd3JVf6Fs4Spi/gpJICkZShXTU7aUTa7qqFclddzMXxcSZL0ZIYRFy1Eys2nTJvz8/Khduzb169dnwYIFXL16lWPHjqUrZ29vj5eXl/Hl4eFhPBcZGUlAQABfffUVnTp1omHDhixdupSTJ0+ybds2k9yUpYzTyM+1auCfWVA7x/7ImgE7aFVs+N8L8d1m263v6LSoDc/MGsP6E8eeXNkjCnsLV1HwaBdTZq1sT1Kzoh02ergbkUL4Petd80gIUfjlacxMZGTq4NNHkxWAwMBASpUqRbVq1fjPf/7D7du3jeeOHTtGUlISXbp0MR7z8fGhTp067N+/P8PrJCQkEBUVle5lDQpirZo0dcuVZYn/+xwbs5+hVT/BTdUALYmQhI2M3d6fRl/04pP1K4iOy974h6LQwlWY5XQLg4w42OmoVu7vcTMXZNyMEMJy5TqZUUoxbtw4fH19qVOnjvF4t27d+Omnn9ixYwdfffUVR44coUOHDiQkpPa7h4eHY2dnR7FixdLV5+npSXh4eIbXmjZtGu7u7sZX2bJlcxt2oefq6MCHfQZy4u0NfNVhOZXtnwFlS6R2hgXB79F4li8vL5jK6WyMUbKUFi6RM/cjU7h0MwlNg0a5GPz7qLqVU7uaTl9KNEVoQgiRL3LXmQ6MHj2av/76i71796Y7PmDAAOOf69SpQ5MmTShfvjwbNmygX79+mdanlMq0OXzixImMGzfO+HNUVJQkNNnQt1FT+jZqSkj4LaZvWcqe8F9J0t1h370Aev+8gDK2bRja6CVebt0Om7+7k4T1S+tiqlLGFneXvP1/rV3JHnjI6UsyCFgIYbly1TIzZswY1q1bx86dOylTpkyWZb29vSlfvrxxKXwvLy8SExN58CD9LtG3b9/G09Mzwzrs7e1xc3NL9xLZV9XLk/97eTwnxu5mVJ2vKE5D0AxcT97Fp4dfof5XHRiz7Duu3L1r7lCFCRjHy9R0zHNdtSqltsyEhiURHWvIc31CCJEfcpTMKKUYPXo0v/32Gzt27KBixYpPfM+9e/e4du2acdxI48aNsbW1ZevWrcYyYWFhnDp1ilatWuUwfPEkjy7j72hnx/hn+nJ4wkp+7L6O+i79jWvWbLw5k47z29DtuzdYc+wwBoN8cVkjpf7ZwqBJHruYADzc9JQuaYNScOaytM4IISxTjpKZ119/naVLl7Js2TJcXV0JDw8nPDycuLjUlUajo6OZMGECBw4cIDQ0lMDAQHr16kWJEiV49tlnAXB3d8ff35/x48ezfft2Tpw4weDBg6lbty6dOnUy/R0WcZkt49++Vm1+e20aB1/bx4CKH+JiqIrSJXI+fgPjdw6k0Vc9eP+3xUTGy8BPaxIalsS9yBTsbTXq/D3eJa9qV0obNyPJjBDCMuUomZkzZw6RkZG0a9cOb29v42vFihVA6vTdkydP0qdPH6pVq8bQoUOpVq0aBw4cwNXV1VjPzJkz6du3L/3796d169Y4OTmxfv164zRgUXCKu7ky9bmhnJiwkS/a/UxV++5oypaH2nmWX5rCK3tfo/Jr3fmzCO1pZM2O/j2LqV5Ve+xsczcl+99qV0qd0STJjBDCUuVoAPCTFs5ydHRk8+bNT6zHwcGBWbNmMWvWrJxcXuQjnU5HvybN6NekGVfu3uXLLcvZfv0XEnQ3oPI5Pjn7BnPPLuT52gMZ1aEHzvam+Ve/yL6wsDB++OEHXn311Uyn++dlC4PMpLXMnAlNJCVFoc/hPk9CCJHfCtXeTMI0ypcowaxBo/lr/E6Glp6E/nbV1BWGOc7c02/T6Btfhsyfyp9XrxZIPI+O+ynKnrTzd2KS4q+Qv7cwMGEyU8HbFmcHjfgExaWbedsqQwgh8oMkMxYqJCTE2HI1a9Ys42ywgmSj19Ozeh1CvtjM5w3m4Ft8BDYGD5J199l/P4B+Kzry9Ew/5gVuJTmLrSjyuhLyk77En8QSnmVBOH0pgfhERTE3HZVK25qsXp1OM85qkq4mIYQlkmTGAi1YsIAaNWqwZMkSAJYsWUKNGjVYuHCh2WKqVNyDRcMmEjR2H6/V+ZISWiPQDNxI2cPnR1+j3lfteG3J14SE33rsvQW5EvK/WeKzzC+m2MIgM2ldTWmbVwohhCWRZMbChISEMGLECAwGg3HjzZSUFAwGA/7+/ly4cMGs8Tna2fH2M89yaPyvLOi5gQYuA9AZnEnQ3WTrrVk8s6QN7b/+D/N3b8+ytaYgWPqzNDXjFgYm7GJKU0daZoQQFkySGQszf/78TP9VrWkaAQEBBRxR5p6uUYNVr03l4Kj9vFRlCk+p2qClcDV5B58efsXYWnM+LONtKvKbNT3LvIqMTuH8tdQtB/K6hUFGalSwQ6fBrfsp3IlINnn9QgiRF4U2mcnvHavzS2hoaKazxpRShIaGFmxA2VDcxYWP+g7m2NvrmPvMGuNifGmtNd2WPk37r0cUeGuNKZ+lpQ9CPno2HqWgoo8tJZ7K9S4lmXJy+GccjuzTJISwNIU6mTHXOI28qFChQpatCRUqVCjYgHKoc526/PbaNA6/foDBVT7iKVXn79aanX+31rTl1SUzC6S1xpTPMq+DkPPbkTOpXUzNapm+VSZN7crS1SSEsEyFNpmxVsOHD8+yNcHf379A48ltC1cxZ2em9H2JY2+vZV63tY+01oSx7dZ3xtaaH3dty7fWGkt7lvnFYFAcOZO6Cnez2nnfjykzMm5GCGGpJJmxMFWrViUgIACdTmdcEVmv16PT6QgICKBKlSoFGo8pWrg61q5jbK15uerH6Vprph15Nd9aayztWeaXC9eTePDQgKO96bYwyEjajKaQq4nEJ8reXUIIyyHJjAXy8/MjODiYIUOGADBkyBCCg4Px8/Mzb2B5VMzZmUl9Bhlba/6ZCfVPa027r/1N2lpTWJ/low6fTm2VaVTdAVub/Fud19NDT3F3PSkGCL4i42aEEJZDkhkLVaVKFcaMGQPAmDFjCk0rQpqOteuw6rWpxtaaYtQFLYVryYF/t9Y8zX8Wf8XpGzfyfK3C/iwP/z1epmk+jpeB1HFGafs0fTNvo8WOHxJCFD2SzAizSmutOTphzb9aa8LZcXs2vZe1Y9S2L/Dq0JqEZJkS/G9RMSmcuZw6hiU/x8ukSetqOno6QpIZIYTFkGSmELO2Zfz/3VrjQX3QDNzRHcapWxhDd45k4P9NZu/5YHOHajEOnIzDYEidku1V3PRTsv8tbUyOu1djnrDvrBBCFBhJZgopa17GP6215siE31jUeyN1bJ9Dl+ROij6Cw5FLGLquO02+fJZJa37iXnS0ucM1qz1BqeNl2jTI/1YZgCpl7LDRK2wdinEnUl8g1xRCiCeRZKYQKkzL+PtWq86kNi9y8cOTDPB6Dx9da1A6HvAXSy98SIvZLen1/XjWHD+CwWDZM2zysvBeRq1scfEG45TsNg2cTBprZmxtNMqWTO3uC72V/y1BQgiRHZLMFEKFaRn/tC9xlZxM2Pa9zO/1P9YNCqRjqdexN5TGoIvlTNwaxu94kQZfduWt5XO5cveuucPOUG4X3suslW3KZ/9HUjL4lLQx6S7ZT1LRMwmA0FsFd00hhMiKJDOFkDVuiZCRzL7Ej2zdyryXx/HX+J1MabWAynbPoBnsiNFdYt31L+iwwJeO37yarwvyFZSsWtmmfzSK2MhQ2tR3NPku2VkpX+rvlpnb0jIjhLAMkswUQta+JQJkr6vMRq9ncKun2fLG9+wasZ9ny72Lq6oGWhKhSduYduRV6n71NMMXTufCvXtmvqPcyaqVTaERdnYFnZo5F2hMFf5umbkdYUNUjHUni0KIwkGSmUKoMCzjn9OustIexfiy/38IevsPZnVeSV3n59EZnEnUhbPr7g9MDBpJ1YmdWXbyMA/j4gviFkwiq1Y2UNik3KByGbsCjcnZQRHzIHXc1RnZdFIIYQEkmSmECsMy/nnpKutevyFrRn7O0dEHGV59GiVoBJoixeMiq+98QeNZLeg757+sP3HM4gcNZ9XKBhr1alUq0HjSRIUfB2SfJiGEZZBkppCy9mX8TdFV5u7kxPu9+nNowq9Mqf0d6mx1bFNKkKJ7yMmYlYzd3p/6X3ZhzLLvstwXypzr9WTVygaK9995tcBieVTkrWMAnJJkRghhASSZKcSseRl/U3eV1fL05PL8P1jc4TsmNv2BSnZd0JQtsbrLbLw5k25L29Bm5lBmbF5HTMI/X9DmXq8no1Y2TacHTUffoV/TpGH1Aonj3yLDjgJwLjSR5BRZPU8IYV6SzAiLlF9dZTZ6PSPadmLrG3PYPeIgL1T4AHdVCzQDN1P28v3Jt2j4TUuem/se89evs4j1eh5tZdP0dpRv8ArNB+7k0w9fKZDrZyQ24iKO9gYSkhQXr8u4GSGEeUkyIyxWfneV+RR7is+eH8bxt9ezoOcGmj/1MjYpxUnRRRIUvYLxM4diIONWh4Jeryetla1C4zep2PxdGtevRq2K9gV2/ccp4xTtUxelq0kIYV6SzFgwb29vJk2ahLe3t7lDMRtTdZU96Vk+XaMGy0ZM4q9x+3i78WzK23Yk6X4KmW1AZI71eqJiNcrWGw7Ai13cCvTaGUlbPO+UzGgSQpiZJDMWzNvbm8mTJxfpZMZUsvss7W1tea19V3a8OY+X2w5D0zL+iCgUmkvBru+y5bgTelsnypdKwrd+wezF9G+PDobe/8eXxEZc5s/z8RgMMm5GCGE+kswIkYm3Ro8ms0nRSin2Ft9Cgy+6M37F/3H59p18jeVsaAKHgh0A6NkspkBX/E3z78HQ61cv4tDyDpw9uoKQa9I6I4QwH0lmhMhERoOQdXo9mk6j+ou+2BZ34KEWzJprn9FpUWvazBjG9I1riIqNM2kccfEGpi++h1Ia4efXUNEr2aT1Z0dmKzKjDJwLfIf1284UeExCCJFGkhkhsvDvQcgvDxnC+eDznFu2h21D99G7zNu4quqgpXDTsJsfzoyn8Xct6fnd2/y0bz/JKXlblC/FoPhs8T2uhCfj5pRCyN5JpritHMtqRWbQ+Pmn+QUajxBCPEqSGSGeILNByBVLlWTmi68R9PZG5vdaTyuPodgZSmLQPeRs/G98eGAIdb9sx5Afp7N047YcL7yXmKT4fNE99gTFYaOHlzs+JDkhIt/uMytP2lbhxrWrPIzNXuIWFhbG5MmTc7x7uBBCZEaSGSFMoG31WiwZ/iEnx+9lSusfqeHYA53BkUT9DTZv/ZIhPTuzcNEiQGPx4icvvHfmcgJvfHWLbUdi0engg+ElqOBZ8N1LabJckRkNe9cyHDuXvT2vwsLCmDJliiQzQgiTsTF3AEIUJjZ6Gwa3bM/glu2JiI1m6s8/8sWvb5G6XE1qy4bBkDrmZNjw4Zy7X5P6dWrylIuO5BTFzTvJnDifwPmrqQNqXRw1/udfgqa1HDl+3Ew3ReqKzNOnT8/krMK75gAOn46jXSOnAo1LCCFAkhkh8s1TTi7oL9xCr9MbB82moyl+WN+H8g+G4PywC3aJ1dD+nj9lawMdmjgzos9TFHfXF3Dkj0sbDO3v74+maaSkpKDX61FK8b9P5rL7WgUOnowjJUWh1xf8TCshRNEm3UxC5KMsx5ooSIqI5qH7b4SXeY2IKsPxabCSES8ksuLT0vz35eIWkcikyWxF5g/eGYGbs46IaAN/XZDVgIUQBU+SmUJOVhE2r6zGmuh1enq36E3PGj2xt7EnyhDKgajv+fDYM4z+Yyi/nvyVhwkPCzjirGU0GNpGrxkX8dt1PNac4QkhiihJZgo5WUXYvJ60+/dH4z/im57fcGjkIT7r+hnNyzRHoThw9QDvbn6XZrOb8fra19kcspkkQ1IBR599TzdMHSuz589YUmQ1YCFEAZMxM0Lko6zGmjy6+7ervSsv1H2BF+q+wPXI66w9u5Z1Z9Zx4f4FNoVsYlPIJlzsXOgytQthujAMyoAuk60WzKFhdQdcHDUeRBn4MySBRtUdzB2SEKIIsZzfhkIUUjnd/buMexleb/E6m4ZtYt2QdYxoMgIvFy+iE6O5YHuBN7a9QZsf2jAtcBpnbp/JYv2XgmNro9GucepeVZsORJs5GiFEUSPJjLB4hWHcT252/9Y0jdqetZnYbiK7X9nN0v5L6V+3P672roRHh/Pj0R/ptbgX3RZ2Y/bB2VyPvJ7ft5Glbi1Tk5ndJ+KIjsvbysdCCJETkswIiyfjflIHC7cs15JpXadxaOQhZveeTdeqXbHT2xFyL4Sv9n5F2/9rS/+f+/NT0E/cj71f4DHWqGBHeW9bEpMUO47EFPj1hRBFlyQzQlgZext7ulbryuw+s40Dh1uWa4mGxrEbx/hw24e0nNuSEb+NYN3ZdcQmFswMI03T6N4qtXVm/d5oi+j+EkIUDZLMCGHF3BzceKHuCyztv5S9r+5lYtuJ1C5Vm2RDMjsv7eStDW/RfE5zxm8cz67Lu0g25O+WCF1bOONgp3HxelK2tzcwB9kfSojCRZIZIbLBGsbteLl6MaLpCNa9vI7NwzYzqsUoyrqXJTYpljVn1jB81XBazW3F5G2TOXr9KAZl+nEtbs56uv3dOvPLNstaI+dRptgfShIiISyHJDNCZIO1jdupUrwK433Hs3PETn4d9CtDGgzBw9GDe7H3WBK0hAHLB9BmXhumBk7lr/C/TNol9HwHN3QaHD0bT/CV9CsCh4SE5Hj3cEslG2YKYTkkmRGiENM0jUY+jZjcaTL7X9tPQL8A+tXuh4udC+EPwwk4GsCzS5+lY0BHZuydwfm75/N8Te8SNnRomrqI3g+rI4yJ0oIFC6hRowZLliwBYMmSJ+8enhlpFRFCPEqSGSGKCFu9Le0qteOLbl9weNRhZveZTffq3XGwceBKxBW+P/g93RZ2o9vCbnx/8HtCH4Tm+lrDez2FrQ0EnU/g0Kl4QkJCGDFiBAaDwbjpZkpKCgaDAX9/fy5cuJCj+qVVRAjxKElmhCiC7G3s6Vq1K7N6zeLwqMPM7DGTTpU7Yauz5fzd88zYO4OOAR3pu6QvAUcDCHuYs6TBq7gNz7ZzBeC7lQ+YNy8g0z2qNE0jICAgz/ckhCi6ZDsDIYo4ZztnetfsTe+avYmMj2RryFbWn1vP/qv7OXnrJCdvnWRq4FSalmlKz+o9aVSsUbYGQw/u5s7Oo7HcvJPM2T9DstyjKjQ0NB/uTAhRVEgyI4Qwcndw5/m6z/N83ee5G3OXTec38Xvw7xy5fsT40mk6WtVuxb67++hSrAtuDm4Z1uXiqGPCYA/++90d7sZ5ZdkyU6FChXy8KyFEYZejbqZp06bRtGlTXF1dKVWqFH379iU4ODhdGaUUkydPxsfHB0dHR9q1a8fp06fTlUlISGDMmDGUKFECZ2dnevfuzfXr5l2KXQiRXgnnEgxuOJjlLy5nzyt7eK/de9TzqodBGdh7ZS//3fxfms9pzqurX2Xd2XVEJz6+J1PTWo70aeuCd43+me6mrZTC398/v29HZEAGUovCIkfJzK5du3j99dc5ePAgW7duJTk5mS5duhAT88/S5dOnT2fGjBl89913HDlyBC8vLzp37szDh/+sOTF27FhWr17N8uXL2bt3L9HR0fTs2dM4MFCIwsga1qrJjI+bD/5N/Fk9eDU7RuxgnO84qpWoRmJKItsubuOtDW/RbHYzRq4d+VhiM+q5YrRsWoMa7aaDpkOn0wOg1+vR6XTpdg8XBUsGUotCQ+XB7du3FaB27dqllFLKYDAoLy8v9dlnnxnLxMfHK3d3dzV37lyllFIRERHK1tZWLV++3Fjmxo0bSqfTqU2bNmXrupGRkQpQkZGReQlfCJFH526fU1/u+VJ1+LGDqvRFJeOr5sya6rU1r6l1Z9ep6IRoFfEwWQ376KZqPmiXqtJ0pLKxd1d+fn4qJCQkV9c9duyYAtSxY8fM8n5T1HHz5k01adIkdfPmzVzHkFemeA5C5ER+fX/nacxMZGQkAB4eHgBcvnyZ8PBwunTpYixjb29P27Zt2b9/P6+++irHjh0jKSkpXRkfHx/q1KnD/v376dq162PXSUhIICHhn8W3oqKi8hK2EMJEqpesTvWS1RnXehzn7pxjQ/AG/jj/B6EPQtkSsoUtIVuwt7GnXcV2dOnZFYNWh6vu7+LTYCxN2iZTuXJlc9+C2aS1ivTu3dsqW+uEsCS5TmaUUowbNw5fX1/q1KkDQHh4OACenp7pynp6enLlyhVjGTs7O4oVK/ZYmbT3/9u0adOYMmVKbkMVQuQzTdOoWaomNUvVZLzveM7eOcvG4I1sDN7IlYgrbA7ZzOaQzdg72/NUhSak3OnAr/tbcvnubd580YOynrbmvgUhhBXLdTIzevRo/vrrL/bu3fvYuX/PWlBKZTqTITtlJk6cyLhx44w/R0VFUbZs2VxELYTIb5qmUatULWqVqpVhYnNLtw8896EZ7Ln3oDl7v2pLnzodGdbDG6/iMsFSCJFzuVo0b8yYMaxbt46dO3dSpkwZ43EvLy+Ax1pYbt++bWyt8fLyIjExkQcPHmRa5t/s7e1xc3NL9xJCWL60xGZCmwls99/O+pfX82z5Z0m6k4TSJRDrsps7pT4mILwrnb/7D37f/8yhM/dNulfUvxWm/aGEEKlylMwopRg9ejS//fYbO3bsoGLFiunOV6xYES8vL7Zu3Wo8lpiYyK5du2jVqhUAjRs3xtbWNl2ZsLAwTp06ZSwjhCh80hKbQZUHcW36NaY3nc7I5iPxdi6Xmtg472ZP3Ae89LsvLT4fwcQVvxJ6y7Tj40y1P5QkREJYlhwlM6+//jpLly5l2bJluLq6Eh4eTnh4OHFxcUDqL6uxY8cydepUVq9ezalTp/Dz88PJyYlBgwYB4O7ujr+/P+PHj2f79u2cOHGCwYMHU7duXTp16mT6OxRCWKSKrhWZ0GYCe17bwboh63ix1iu468ugdAnctQnkl2vv0mlRC1p/6c/kNb9w435knq5nqv2hTLlhphDCNHLUQT1nzhwA2rVrl+74ggUL8PPzA+Cdd94hLi6OUaNG8eDBA5o3b86WLVtwdXU1lp85cyY2Njb079+fuLg4OnbsyMKFC9Hr9Xm7GyGE1dE0jdqetfm0e20+6fYOR6+dImDfOvbf2EyM7gbhBLLkQiBLQj7ES9+U+nb1uXsgCEhtFXnvvfeoWrXqE68zf/78J+4PNW3atCzreDQhSpOWGPn7++Pr6ytr5ghhBjlKZrLTj61pGpMnT2by5MmZlnFwcGDWrFnGZlohhIDU3x9Ny9Wlabm6KPUeey+cZOGBDRwO30qs7gohhzaz/9eloAEaLFq8mMWLFxMQEGD8B1VmQkND87w/lCkSIiGE6cnUASGERdI0jTZV69Gmaj1gIss2/8Hgd3qAIvUFKGVAAcOGD2NXRCjjnhtG3bLlM6yvQoUKed4fyhQJkRDC9HI1m0kIIQraycDd6HSZ/MrSYM26b+i7ogONvuzBqJ++5tCl9GNghg8fnmUikp39oUyREIn0ZH8oYQqSzAghrEJWrSKa0tDddwGlI5JzbA6bxaDfulJvemeGLfyc7adPUblyZQICAtDpdMbxeTndH8oUCZEp5SURsJQZWbI/lDAFSWaEEFYhq1YRnU7HK90Gs/GlvTxf/gNKac1B6YnRXWL33Xm88kcf6n7Zni1JV/lu5UoGDx4CwJAhQwgODn7ieJs0VatWzXNCZEq5TQRkRpYobCSZEUIUqNzuHp6dVpHqPp58/sIwDoxfRuDwgwyp+gml9W3QlC3xuuscilzElxcncLDmOSq/1otqXbtStnyFHMXh5+dHcHAwQ4bkLiEyN1NNURfCkkgyI4QoUN7e3kyePDnHyUxOW0XKFvdgcp+B7H5rIQdePcyrtb+ggl0nNIMDSfrbqMqn+fH6+9Sd2Yxus95k1taNRMTGZiuWKlWqMGbMGCB1RfSctsiYs4snOzOyhLA2kswIIaxGbltFSrq58U63fmx/4weOjznKQO+JaNeqoje4kqKL5HzC73z95xiafNeUdl/78/G65dy4fz9f7sHcXTwyI0sURpLMCCGsSl5bRdwcHelXsxEXv93Mknb/x0et59PQ9UXsDJ4oXTzXkgNZeP59ng5oTouv+vP2r//HmRvXTRK7JXTxyIwsURhJMiOEKLJsbfS81LItK1/9lNMT9jKr8yp8i4/A2VAZNAN31DF+u/IZvX5uS8Mvu/Pqkq/Yde50rjfCtIQuHkubkSWEKciieUIIQeqMqO71G9C9fgNgIgcvXGTpoU0cuLmNCE4SpQWz7VYw236fjcO6MlS2b4ZHw/ok/93Ckh2W0MWTNvbI398fTdNISUlBr9ejlDLLjCwhTEFaZoQQIgMtqlTmu5de59jbq9n40j76V5iEl661cWbU6aTfeGrQQwbveI2e349n9vZNRMXGZVmnpXTxWPuMLCH+TZIZIYR4guo+nkx7/mX2jVvMvlcO81qtLylDe7QUJ1L0EZyNW8NXJ16n0XdNaf/1K3y07heu3n18ALEldfHkdeyREJZEkhkhhMgBT3c33u7+LDM7jOLS/4IZVmYy9Vyex9ZQAqWL42rydhadn0j7Bc1p9uULjFk2m4MXLgKWt+ieEIWFjJkRQohcUklJdK9Wmw8aDSHFkMKmv4JYceIPgu4GEqNd5h7H2XjzOBvXfIWToQL1PNrxbP3OnDp9mumff87ChQsZMmQI77//viQyQuSBJDNCCGECep2eHg0a06NBY+ADjoVeYumhzRy4vpM7hhPE6kI5GLGQg7sWYmN4ijJ1muLZvgV+r4wosonMvxcPfO+996hataqZoxLWSJIZIYTIB40rVKJxhZHASG4+eMCi/dvYfnEHV+L3kayLIFRtxbk7+O/1x/tgU9qUb8/LLbtSw7u0uUMvEAsWLGDEiBHGAdFLlixh8eLFBAQEyEBkkWMyZkYIUeTkdn+o3PIpVoyJPV5g2xtz+PPNo/yveQDV9X3RJ5REaUncTNnPikuf0uOnp2n4RXf8F01n019BGAyGTOu0lF2vc8MSFg8UhYskM0KIIie3+0P9u47cJERO9nb4tWnHJ21fIuSDQ/y32td0KDkad1UHlEaUFkzgnR94fctz1PqiFX3mvMMPO7by8JFp3+beEiGvLGHxQFG4SDeTEMLqFHTLSmYxTJ48Oc/1NClTmld69wLe4nzYLRYf2MqeKzu4kXSIJP0dTsWs4tTxVXxx1JHSts2pY1ebuW+8na7VJq11w9/fH19fX4sfg2MJiweKwkWSGSGE1TFVImFpqnl78km/wcBgImNj+fnQHv44u43g6N0k6e5yPSWQv1b9hoGMu5/SWjWmTZtWsIHnkKUsHigKD+lmEkIIC+Tu5MRr7buydtQXnJlwgO+6rKRtyf/AfQfIZGsog1IEW8HYGUtaPFAUDpLMCCGEhdPpdHSr15D5Q9/ltW5+6HX6DMspDOy8v5NWMwYyfsVcjl6+WMCRZo8sHihMTZIZIYSwIlm1aqDAtZkztwyHWXPtCwas6kLd6e0Z+OOH/HQgkLjEhIINNguyP5QwJUlmhBDCimTZqvFjAEv9ttLN+y2K0wiUnljdVQ5H/MSH+/yp93UTOnwzgslrl3Lh1i2zD6SW/aGEqcgAYCGEsDJ+fn74+vry6aefZrglwtM1qgOjuX4vgqUHdrLz0k4ux+0nRf+AK0k7WRKykyUhk3BTNWhQoS1Hwm7SrVQpbPUZd18JYek0lWl7peWKiorC3d2dyMhI3NzczB2OEELkWFhYGD/88AOvvvpqrltGjh8/TuPGjTl27BiNGjXKsmxSSgrrjx9n7ant/HlnNw91wenO26R4UNGpFR0qt2dQ83aUKf5UrmLKqZzcg7B++fX9LS0zQghhBgU9vdxWr6df06b0a9oUeJfgsDCWHtrKntBAbiQeJll/n5CE3wk58zs/nNbjodWlYak29GvQgc6166DXW+6oBFMkhsK6STIjhBBFUHVvbz7u+zLwMrEJ8aw8eoANZ3Zw+sFu4nTXuU8Q228HsX3LLGz+KE5l51Z0qNKWQc3b4VOsmLnDTycsLIwpU6bQu3dvSWaKKElmhBCiiHOyd+Dl1u15uXV7AI6HXmLF0R3sv7absKRjJOvvERy/nuBT65lzUoeHVodGnm3o17A9nWrVy3SquBAFRZIZIYQQ6TSqUIlGFSoBI3gYF8/Ko/v542wgZyL2Eqe7wn3+Ytutv9i26XtsNnpQ2bkF7Sq1ZVDz9pTxKG7u8M1CurrMS5IZIYQQmXJ1dGBYmw4Ma9MBgGOXQ1lxdAcHru0hLPkIybr7BMdtJPj0Rn44peMprSYNSrahd9129KjfCJsiMkNKurrMS5IZIYQQ2da4YgUaVxwODOdhXDy/HjnIpnOBnI3YR6zuEhGcJvDOaQJ3zOXtbe6Ud2jJ0xXaMKhZRyp7lTR3+KKQkmRGCCFErrg6OtCtanWu7gjkm1cXczsx2TjW5kbiYVJ0kVxK3MSl85tYGPwBbqoGdYq3pnutdvRt3ARHO1tz34IoJCSZEUIIkWuPdq80atSI+uWHAkOJS0xk9fFDbDwdyMn7e4nWLhClnWX/g7Ps3/cjH+5xxse2KdWca+Fcrpy5b0NYOUlmhBBCmJyjnR2DWrRhUIs2AJwPv8nPh3eyJ3QXV+MPk6J7yPWUQK5HBeI5xobBW8dS7XBLOlV5mgHNfCnp5m7mOxDWRJIZIYQQ+a6alw+Ter8EvERScjKbTwWx7uQuTtzax311igT9DU5Gr+Rk0EpmntBTXKtDQ8/W9KnXji516mOjl68rkTn52yGEEFbK3BtF5patjQ09GzShZ4MmwHhuR0Wy/PAedoTsISTqAPH6G9zjT7bd+pNtW2ej3+xGOYdmtC7XmgFNO1CrdBlz34KwMJLMCCGElSroLRHySyk3d97o1JM3OvVEKcWRS5f59Vggh27sJSzpKCm6KC4nbuPyhW0svTAFJ0MFqru3pFO1NrzQtLW5wxcWQJIZIYQQFkPTNJpVrkSzypWA4cQmJLH2+BH+OLubU/f2E8lZYnWhnHgYyoljPzP1D0XiEVucy3vz7qef8vWnn1KrRg1z34YoYJLMCCGEsFhO9rYMbNmKgS1bAXDt3n1WHNnDrou7ORq4lvBVl0ADFGy99hu1V/9GzRfb0e95f55v3JYG5cs+8Rqyeq/1k2RGCCGE1Shb3IMJz/ShT0gtarzxNShSX/zz37PLA1lc7iI/X7LFwVCWqq7NaVvJlwFNffHxeHyTTFm9N5U1J3WWu6e7EEIIkYn58+ejaVqG5zRNI/GwPSgd8bprnIxZyXcnx9ImoBmNvujFkPmfsnR/INHx8SaJJSQkhFmzZgEwa9YsQkJCTFJvQUtL6sLCwswdSo5JMiOEEMLqhIaGopTK8JyGRnvPJux75QhvNfyWBi79cTSUB81ApHaG/ffnM2m/Pw1mNaTVjIF8fWgDbjWqkGIw5DiOBQsWUKNGDZYsWQLAkiVLqFGjBgsXLszL7Ykckm4mIYQQVqdChQpZtsxUqFABL/enGN2xB6M79gDg9PXr/HpsN/uv7ONK3BGS9fe4ZTjMrZjDlPCHl3b8h7L7m9KiTCv6NWpL4woVs4whJCSEESNGYHgkCUpJSQHA398fX19fqlSpYqI7FlmRlhkhhBC5Ys7uleHDh2faMqOUwt/f/7HjtcuUYXKfQWx543vOTDjI/3VbT0+ftymR0gItxZEUXRShidtZfulj+q/sRK3pvvT8fhyfb1zFpdt3HqvvSV1dAQEBebtJkW3SMiOEECLHFixYwIgRI4xf5kuWLGHx4sUEBATg5+eX79evWrUqAQEB+Pv7o2kaKSkp6PV6lFIEBAQ8sUVEr9fRoXYtOtSuxfHjzWjSvCXTly3hdHQop+4dTF2VWBfG2bi1nD2zlnlnwMVQlepPtaBDldb0a9Iyy64upRShoaH5cOciI5LMCCGEyBFL6V7x8/PD19eXTz/9lIULFzJkyBDef//9XF1bJSfSoXIVJjTqD8DdqIesPLafHSH7CI44SLTuItG6EI5FhXDs+BK+OGZD7C1FxqnMP11domBIN5MQQogcsaTulSpVqjBmzBgAxowZY7IkqoSbK6+178ovr3zEn+9sYevL+3ml1ufUdOqNvcETtGRsm8ajVMaDhjPr6hL5Q1pmhBBC5EhR7F6pVMqT/3Z/nv/yPEopTly5zJqgvfw2aAGnlwUaF+5L+2+J57zwWzeZht7N6V7bl0616mJrI1+5+SXHLTO7d++mV69e+Pj4oGkaa9asSXfez88PTdPSvVq0aJGuTEJCAmPGjKFEiRI4OzvTu3dvrl+/nqcbEUIIUTCyM5OoMNM0jUYVKvFR35c5tXQnweeC6d7veZxKe1K6bR3KT6iJSzMHwgwH2Hjja0ZveZ7aMxrT7uthjP9lLoHnTpFiSDH3beSLsLAwJk+eXOBr1eQ4mYmJiaF+/fp89913mZZ55plnCAsLM742btyY7vzYsWNZvXo1y5cvZ+/evURHR9OzZ09jn6sQQgjLlZuZRJbKFDOyqlWrxscTJxJ7/RbrvlzEhWknmd1lNd19xuOt80VncCZFF8215N2sufoF/r/3odaXzej47Su8u2o++84Hpxt/ZM3MtfBejtu8unXrRrdu3bIsY29vj5eXV4bnIiMjCQgIYMmSJXTq1AmApUuXUrZsWbZt20bXrl1zGpIQQogClNeZRJYiv2Zk2ej1dK1Xj6716gGjiEtM4o8/g9h0dj8n7xziTsqfJOsiCE3cTujl7fx6GWwNJSjn0IRmZVrQp74vTSpl3volHpcvA4ADAwMpVaoU1apV4z//+Q+3b982njt27BhJSUl06dLFeMzHx4c6deqwf//+DOtLSEggKioq3UsIIYT5+Pn5ERwczJAhQwAYMmQIwcHBBTIt2xQenZGV1iuQkpKCwWDA39+fCxcumOxajna29GvalHkvv8mB8csIeuM4n/ouoV2JkZSgEZqyJUl3l4uJm/j50mReXJ26xs0zs97kw9XLOHYp8zFKpmLtWzKYPJnp1q0bP/30Ezt27OCrr77iyJEjdOjQgYSEBADCw8Oxs7OjWLH0m315enoSHh6eYZ3Tpk3D3d3d+Cpb9sm7oAohhMhf+TWTqCCYc0aWi4M9L7ZoRYDfBA5N+JXjo08wuWUAvsX9KUZdUHoS9eGEJPzOTxf/R//fOlJrui9dZ43hw9VLOXr5skm7pQrDlgwmH1o9YMAA45/r1KlDkyZNKF++PBs2bKBfv36Zvk8plelfrIkTJzJu3Djjz1FRUZLQCCGEyDVLmpHl5ujIkNbtGNK6HQD3ox+y5sRBdoYc4Mz9o0SosyTqw7mQsJELFzfy00WwNZSknGNjmpdpTq/6rWhSoRK3bt3K8a7XlrJmUF7l+zwxb29vypcvb2yy8vLyIjExkQcPHqRrnbl9+zatWrXKsA57e3vs7e3zO1QhhBBFhCXPyPJwcWV4m84Mb9MZgHvRD1l34jA7Qg5y9v5RHqgzJOnucDFhExcvbmLZRbA1FMdLX5eLQRep/GcTXvLsjk735M6X7LRQTZs2zaT3lx/yfdG8e/fuce3aNWOW2LhxY2xtbdm6dauxTFhYGKdOnco0mRFCCCFMydJmZGU1pbm4iyvD2nRkyfD3OTphNUdGHud/LQJo7TGCYtQHZUuS7h7XVCB2vteYfOpNan7ZnE7fvsp/V/5I4NkzmXZLWVILVV7kuGUmOjo63cCoy5cvExQUhIeHBx4eHkyePJnnnnsOb29vQkNDee+99yhRogTPPvssAO7u7vj7+zN+/HiKFy+Oh4cHEyZMoG7dusbZTUIIIUR+srQZWWlTmnv37v3ELiIPF2f8fNvh59sOgAcxsaw7cYR1x7dz6s5BUlyvkay7z+XEbVwO3cbKUNCvd6e0XSMaejWla+1WdKhVC1u93qJbqHIix8nM0aNHad++vfHntLEsQ4cOZc6cOZw8eZLFixcTERGBt7c37du3Z8WKFbi6uhrfM3PmTGxsbOjfvz9xcXF07NiRhQsXotfrTXBLQgghihJvb28mTZqU7XEiaUy5t5M5FXN2YqhvW+o6udK48cfsPnCQq4Zkdpw/wKl7R7iXcpIUXSRXk3dy9fpO1l4H/R9ueNk2oHyJChgsqIUqt3KczLRr1y7LKWKbN29+Yh0ODg7MmjXLOA1MCCGEyC1vb28mT56cq/emzchauHCh1c3IyoyznS0vNWrOS61aAxAdn8Aff51gW/B+Tt45yu3kP0nRRXEjZTc32E2J54tz59c7oGmgFDotdQSKNa0ZJBtFCCGEEHmU29ahguDiYM8LzVrwQrPUrYXiExPZcvpPNp/dz5+3jqBr/BcOFR14ePghSQ+SsC1mi2vTYnx3dx3bAq7zdOVm9G7QHK+n3LO8zr/XqnnvvfeoWrVqvt8fSDIjhBBC5FleWocKmoOdHb0bNqV3w6YAJCUns/PcKVZU3MTukEB0Je+SrH/AA/7kwIM/OXB0AZ8f0XClClXcGtGyQhP6NGhJFc9/Erf8Wk05uySZEUIIIYowWxsbutRpQIlEA/Nfm8iRI0dJLubGxpMHOXL9KFdiT5Cgu8FDQjjxMIQTJ1cw+yQ4GEpTwbkhlXRlmT36v2Zdq0aSGSGEELlmyd0rInd0Oo0WlavSonJVIHW7irM3brLuz0McvHKEiw+PE6NdIF53g3NxN9i/8T4GMp76XVBr1UgyI4QQItesqXtF5F7N0j7ULP0skLrMyrW7Eaz/8xB7Lx1h0/25oCIyfF+KwcCvOzdR/2BPetRvnG/x5fuieUIIIYTIXwW9UWTZEk8xqmNXlv3nA17tNgS9LpOlVTTFPadQ3t/7Mg2+a0DbbwflSzySzAghhBBWzNwbRWa1mrKmNKq17IyNwQO0JCI4nS8xSDIjhBBCmFFeWlUe3SgybdBtSkoKBoMBf3//dCv255e01ZR1Op1x8Vu9Xo9Op2P+/Pkc+vQXzk44xE/PbmJApffyJQZJZoQQQggzyWurSnY2iiwIfn5+BAcHM2RI6oDhIUOGEBwcbJyWrdPpaFG5Ku/1HJAv15dkRgghRJFmrhlZpmhVsaSNItNWUwYKfDVlSWaEEEIUaWkzsgo6mTFFq4opN4q05mn2kswIIYQQZmCKVpWsBt/mdKNIcyV1piDJjBBCCGEGpmhVyWrwrTVtFJlXkswIIYQQZmCqVpUnDb4tCiSZEUIIIczAlK0q5hx8awkkmRFCCCHMRFpVTEOSGSGEEMKMinqriilIMiOEEEIIqybJjBBCCCFMwlxr1dgU6NWEEEIIUWilrVVT0KRlRgghhBBWTZIZIYQQQlg1SWaEEEIIYdUkmRFCCCEKAWveKDKvZACwEEIIUQiYa/CtJZCWGSGEEMLMinKriiloKrNdrixYVFQU7u7uREZG4ubmZu5whBBCCJEN+fX9LS0zQgghhLBqkswIIYQQwqpJMiOEEEIIqybJjBBCCCGsmiQzQgghhLBqkswIIYQQwqpJMiOEEEIIqyYrAAshRB4kJyeTnJxs7jCEMAsbGxtsbMyfSpg/AiGEsEKxsbHcvXuXmJgYc4cihFk5OztTokQJnJyczBaDJDNCCJFDiYmJXLt2DVtbW7y9vbG3t0fTNHOHJUSBUkqRkJDA/fv3uXbtGhUrVsTOzs4ssUgyI4QQOXT79m30ej3ly5dHr9ebOxwhzMbR0RFXV1cuX77M7du3KVOmjFnikAHAQgiRA0opYmNjcXd3l0RGCECv1+Pu7k5sbCzm2u5RkhkhhMiBpKQkUlJScHR0NHcoQlgMR0dHUlJSSEpKMsv1JZkRQogcMBgMANIqI8Qj0j4PaZ+PgibJjBBC5IIM+BXiH+b+PEgyI4QQQgirJsmMEEIIIayaJDNCCCEKvcDAQDRNw8/Pz9yhiHwgyYwQQog8CQ0NRdM02rVrZ5L6JPEQOSXJjBBCCCGsmiQzQgghhLBqkswIIYTItcmTJ1OxYkUAdu3ahaZpxtej3URnzpzhpZdewtvbGzs7O0qXLs3LL79McHBwuvr8/Pxo3749AIsWLUpX3+TJk43lNmzYwPDhw6lZsyZubm44OztTv359pk6dSkJCQr7ft7AsOU5mdu/eTa9evfDx8UHTNNasWZPuvFKKyZMn4+Pjg6OjI+3ateP06dPpyiQkJDBmzBhKlCiBs7MzvXv35vr163m6ESGEEAWvQYMGPPfccwB4enoydOhQ48vX1xeA7du306RJE5YtW4aPjw/PPfccpUqVYsmSJTRp0oQ9e/YY6/P19aVr164AVK5cOV19DRo0MJbz9/fn119/xd3dnWeeeYY2bdpw7do13n//fbp3705KSkrBPQRhfiqHNm7cqN5//321atUqBajVq1enO//ZZ58pV1dXtWrVKnXy5Ek1YMAA5e3traKiooxlXnvtNVW6dGm1detWdfz4cdW+fXtVv359lZycnK0YIiMjFaAiIyNzGr4QQuRJXFycOnPmjIqLi8vwvMFgULHxKVbzMhgMeX4mly9fVoBq27btY+eio6OVp6enAtScOXPSnZsxY4YCVJkyZVR8fLzx+M6dOxWghg4dmuk1V69eraKjo9Mdi4qKUj179lSAWrRoUbpz2alT5N6TPhdp8uv7O8e7Znfr1o1u3bpllhjx9ddf8/7779OvXz8gtZnQ09OTZcuW8eqrrxIZGUlAQABLliyhU6dOACxdupSyZcuybds2Y0YuhBDWKD5R0eMt62lp3jCzDI72+bd66y+//MKtW7do06YNr732Wrpzb731Fj/99BPHjh1j9erVvPjii9mut2/fvo8dc3V1ZebMmfz++++sXbuWl19+Oa/hCyuR42QmK5cvXyY8PJwuXboYj9nb29O2bVv279/Pq6++yrFjx0hKSkpXxsfHhzp16rB///4Mk5mEhIR0faBRUVGmDFsIIUQ+SetCeumllzI8P3jwYI4dO8aePXtylMwAhISEsHHjRi5cuEBMTAwGg8G4a3NISEjeAhdWxaTJTHh4OJDab/ooT09Prly5YixjZ2dHsWLFHiuT9v5/mzZtGlOmTDFlqEIIkS8c7DQ2zCxj7jCyzcEuf/fUuXnzJgAVKlTI8Hza8bRy2aGUYsKECcycOdOYvPzbw4cPcxSnsG4mTWbS/HvDKaXUEzehyqrMxIkTGTdunPHnqKgoypYtm/dAhRDCxDRNy9duG2v1pO+AnGxUuGLFCmbMmEGZMmX4+uuvadmyJSVLlsTW1pbExETs7e0zTXJE4WTSZMbLywtIbX3x9vY2Hr99+7axtcbLy4vExEQePHiQrnXm9u3btGrVKsN67e3tsbe3N2WoQgghCoCPjw+QOgwhI2mt9o9+ZzzJ6tWrAZgzZw49e/ZMd+7SpUu5CVNYOZOuM1OxYkW8vLzYunWr8VhiYiK7du0yJiqNGzfG1tY2XZmwsDBOnTqVaTIjhBDCctnZ2QGQnJz82Lk2bdoA8NNPP2X43rTjaeWeVB/AgwcPADJsof/ll1+yG7YoRHKczERHRxMUFERQUBCQmm0HBQVx9epVNE1j7NixTJ06ldWrV3Pq1Cn8/PxwcnJi0KBBALi7u+Pv78/48ePZvn07J06cYPDgwdStW9c4u0kIIYT1KFGiBLa2tly8ePGx9V369++Pp6cne/bsYd68eenOffvttxw5coQyZcrw7LPPGo+nteb8e0G9NNWqVQNg3rx56bqT9uzZwxdffGGSexJWJqdzudPm6v/7lTZ332AwqEmTJikvLy9lb2+vnn76aXXy5Ml0dcTFxanRo0crDw8P5ejoqHr27KmuXr2a7RhknRkhhLlkdz2NoqZXr14KULVr11ZDhgxR/v7+av78+UoppbZt26YcHR0VoBo3bqwGDhyoGjZsqADl7Oysdu/e/Vh99erVU4Bq2rSp8vPzU/7+/mrt2rVKKaWCg4OVs7OzAlStWrXUiy++qNq0aaM0TVMTJkxQgCpfvny6+mSdmfxl7nVmcpzMWAJJZoQQ5iLJTMZu3bqlhgwZory8vJRer38scTh16pQaOHCg8vT0VLa2tsrb21sNHjxYnTt3LsP6QkJCVN++fVXx4sWVTqdTgJo0aZLx/JkzZ1SvXr1UqVKllJOTk2rYsKGaN2+eUkpJMmMG5k5mNKWsb8h3VFQU7u7uREZG4ubmZu5whBBFSHx8PJcvX6ZixYo4ODiYOxwhLEJ2Pxf59f0tG00KIYQQwqpJMiOEEEIIqybJjBBCCCGsmiQzQgghhLBqkswIIYQQwqpJMiOEEEIIqybJjBBCCCGsmiQzQgghhLBqkswIIYQQwqpJMiOEEEIIqybJjBBCCCGsmiQzQgghhLBqkswIIYQQwqpJMiOEECLPQkND0TSNdu3amTsUo3bt2qFpGqGhoeYOxSppmkaFChXMHUa2SDIjhBBCCKsmyYwQQgghrJokM0IIIYSwapLMCCGEMKmoqCjefPNNypYti4ODAzVr1mTmzJkYDIZ05YKCgnjnnXdo3LgxJUuWxN7enkqVKjFq1Chu3ryZaf1Xr15l9OjRVK1aFQcHB4oXL06zZs2YOnUqcXFxT4wvMjKSp59+Gk3TGDt2LEop47lLly7Rv39/PDw8cHFxwdfXl82bNxMYGIimafj5+aWry8/PD03TCAwMZPPmzbRv356nnnoKTdOIiIgAIDk5mVmzZtG4cWNcXFxwcXGhWbNmzJkzh5SUlMfiq1ChApqmZRh7duLYvXs3HTp0wNXVFTc3N3r06MGZM2cyrC8mJob//ve/lCtXDgcHB2rUqMGMGTPSPRNrIMmMEEIIk0lISKBDhw4sXryYZs2a0blzZ65cucK4cePw9/dPV/azzz5jxowZpKSk0Lp1a7p3745Sijlz5tCkSZMME5rdu3dTr149vv/+ewwGA3369KFly5bcvXuX999/n1u3bmUZ361bt2jXrh179uxhypQpfP3118bEISQkhObNm/Prr79SqlQpevXqRUpKCt27d2fVqlVZ1rts2TK6detGTEwM3bp1o2nTpmiaRkpKCn369OGNN97gwoULdOrUiU6dOnHu3DlGjRrFCy+88FiSlxfr16+nQ4cO3L9/n65du+Lt7c3GjRt5+umnCQ8PT1c2ISGBLl26MH36dOLi4ujVqxcVKlTg3XffZfTo0SaLqUAoKxQZGakAFRkZae5QhBBFTFxcnDpz5oyKi4szdygW5fLlywpQgKpXr566c+eO8dyFCxeUj4+PAtTatWuNx7dv365u3ryZrp6UlBQ1ZcoUBahhw4alO3f//n1VsmRJBaiZM2cqg8GQ7vyuXbtURESE8ee2bdsqQF2+fNkYY5UqVZSmaWrWrFmP3UPHjh0VoMaMGaNSUlKMxxcvXmy8t6FDh6Z7z9ChQ43nli9f/lidX375pQJU3bp11a1bt4zHb968qapXr64A9f3336d7T/ny5VVmX887d+7MMg6dTqeWLVtmPJ6cnKyee+45Baj//e9/6d4zdepUBahmzZqle27Hjh1Tbm5uClDly5fPMI5/y+7nIr++vyWZEUKIHHjSL22DwaBiEmKs5vXvhCC3Hk1mtmzZ8tj5OXPmKEB16dIlW/WVLl1aeXh4pDv2+eefK0D17NkzW3U8msycOnVK+fj4KBsbG7V06dLHyoaEhChAeXh4qOjo6MfOP/3001kmET169MgwhnLlyilAbd++/bFz69atU4CqXr16uuN5SWYGDx782HuOHTumANW2bdt0x8uWLasAtW/fvsfeM3HiRKtKZmzysdFHCCGKnLikOOp+W9fcYWTbyTdO4mTnZLL6PDw86Ny582PHBw0axMiRI9m/fz9KKWPXzr1791i3bh2nTp0iIiLCOIYkKSmJ+/fvc//+fTw8PADYtm0bAK+++mqOYjp48CCvv/46cXFxrFmzhh49ejxWZv/+/QB0794dZ2fnx86/8MIL7N69O9Nr9O7d+7FjV69e5erVq3h5edGhQ4fHzvfs2ZOnnnqK4OBg7ty5Q8mSJXNyWxnq0qXLY8eqVasGQFhYWLrYrl27RunSpWnVqtVj7xk4cCDTpk3LczwFRZIZIYQQJlO+fPkMj7u5ufHUU08RERFBVFQU7u7u/Pzzz7zyyitER0dnWt/Dhw+Nycy1a9cAqFy5co5iGjJkCMnJyaxYsSLDRAYwjs8pW7ZshufLlSuX5TUyOp9WZ2YLz2maRvny5YmIiODmzZsmSWbKlCnz2DEXFxcgdYzMv2PL7L6edL+WRpIZIYQwIUdbR06+cdLcYWSbo61jgV1LPTJD5sqVK/j5+aGU4uuvv6ZHjx6ULl0aR8fUeFq1asWBAwcynFWT2UyfzAwcOJAlS5bw4Ycf8vTTT+Pl5ZVp2czqziiORzk4OOS4zpyWAZ44WDi79aTdT2blc/qMzU2SGSGEMCFN00zabWNtrl69muHxqKgoIiMjcXZ2xs3NjWXLlpGYmMj48eN58803Hyt/6dKlx46VLVuWc+fOceHCBWrUqJHtmD766CN8fHz4/PPP6dixIzt37qRUqVLpynh7e2cZf1qrUE74+PgAcPny5UzLpF0v7foAdnZ2AERHRxtbVfISR1axXblyJcPzmR23VDI1WwghhMncu3fPOLblUT///DOQ2uKiaRoPHjwAMu7W2b17d4ZTrDt16gTAvHnzchzXZ599xttvv82ZM2fo2LEjd+/eTXc+bdzIxo0biY2Nfez9K1euzPE1y5UrR7ly5QgPD2fHjh2Pnd+wYQMPHjygevXq6bqY0hKb8+fPP/aeLVu25DiOjJQvX54yZcpw48YNDhw48Nj55cuXm+Q6BUWSGSGEECb19ttvc+/ePePPly9f5uOPPwZg1KhRwD+DUpcuXUpMTIyx7I0bN3jttdcyrHfEiBGUKFGC9evX89133z3W9bNnzx4iIyMzjWv69OmMGzeOU6dO0bFjx3QxVq1alfbt23P//n3ee++9dHX/9NNP7Nq1K7u3n86YMWMAeOutt7hz547xeHh4OG+//Xa6Mmnatm0LwLRp09Itqrd06VKTJhlpA6nHjx9PVFSU8XhQUBDff/+9ya5TIEw6N6qAyNRsIYS5yDozGUubmt2iRQvVqFEjVaxYMfXcc8+pXr16KScnp8emDSckJKjatWsrQHl5eannnntO9ejRQzk5OalWrVqpVq1apVsjJs2OHTuUq6urAlTlypVV//79Vc+ePVXFihUfK//vdWbSjB07VgGqQYMG6v79+8bj586dUx4eHgpQNWrUUAMHDlQtW7ZUmqapUaNGKUD95z//SVdX2pTonTt3ZvhckpOTVbdu3RSg3N3d1bPPPqv69u1rvIe+ffumW9NGKaXCw8ON6+lUq1ZNPf/886p+/fpKr9ert956K8up2ZnFQQbTrOPj41Xz5s0VoEqUKKFeeOEF9cwzzyg7Ozs1cuRIq5qaLS0zQgghTMbe3p4dO3YwcOBADhw4wObNmylbtixffvklCxcuNJazs7Njz549jBw5EgcHB37//XfOnj3LmDFj2Lp1K7a2thnW3759e4KCgnjllVdITk5mzZo1HDx4kFKlSjFt2rQsB/emmTlzJmPGjCEoKIjOnTsbtx2oXr06hw4d4vnnnyc8PJy1a9cC8Pvvvxu7oYoXL56j56HX61m3bh3ffPMNlSpVYvPmzWzZsoXq1avz/fffs3LlSnS69F/Fnp6e7N69m549exIWFsYff/yBu7s7W7duzXAKeG7Z29uzbds2JkyYgL29PWvXruXSpUt88sknfPfddya7TkHQlLKyDRjAOK0vMjISNzc3c4cjhChC4uPjuXz5MhUrVsxyBosoXEaOHMncuXNZvnw5AwYMMHc4Fie7n4v8+v6WlhkhhBCC1C/ks2fPPnZ81apV/Pjjj7i7u2e6To0wL5maLYQQQgARERHUqlWLGjVqULVqVWxtbTl79ixnz55Fp9Mxe/bsx6ZKC8sgLTNCCCEE4O7uzvjx47Gzs2Pv3r2sW7eOe/fu0adPH3bt2sWgQYPMHaLIhLTMCCGEEICjoyNffvmlucMQuSAtM0IIIYSwapLMCCGEEMKqSTIjRBGW8iCKlMiH5g5DCCHyRJIZIYqglKhowof/j9BqPQit2oNboz7GEBNn7rCEECJXZACwEEWMSknh1vD/Ebfr6N8HFNG/bkHFJuA5/yM0nfwbRwhhXeS3lhBFTMScFcTtOorm5EDpLfPwWf0N2NoQs2EXUUvWmzs8IYTIMUlmhChCUiIeEjFzCQAlPnkDh4Y1cfRtRPEPU3cpfvB5AIboWHOGKIQQOSbJjBBFSOQPv2CIisauZiVcX/pnWXb34f2wrViGlDsPiFq8zowRCiFEzkkyI0QRoRKTiFqUugtwsXFD042N0exseWrMQAAiF6xGGQxmiVEIIXJDkhkhioiYzftIufMAfUkPnHs8/dh5l36d0bm5kBx6k9gdh80QoRBC5I4kM0IUEQ+X/wGA68BuaLaPT2TUOTvi8kIXAKJXbSnQ2ETREBoaiqZptGvXztyhZFtgYCCapuHn52fuUEQWJJkRoggwPIwhNvAIAC7Pd8m0nOtznQGI2bgXQ2x8gcQmhBB5JevMCFEExGw9AIlJ2FYui12NipmWs29SG5ty3iRfDSN22wFcercvwChFYVe6dGnOnj2Lk5OTuUMRhYy0zAhRBMT8vgsA555t0TQt03KaphnH08Ru2V8gsYmiw9bWlho1alCuXDlzhyIKGZMnM5MnT0bTtHQvLy8v43mlFJMnT8bHxwdHR0fatWvH6dOnTR2GEOJvhrgEYrcfBMClV7snlnfq3BKA2B2HZFaTyLazZ88yZMgQKleujIODAyVLlqRBgwaMHTuWsLAwIOsxM0lJSXz66adUqVIFBwcHKlWqxOTJk0lKSqJChQqPJeGPjmW5f/8+I0eOxNvbG3t7e+rUqcP8+fMzjHPDhg0MHz6cmjVr4ubmhrOzM/Xr12fq1KkkJCSY/LmIgpEv3Uy1a9dm27Ztxp/1er3xz9OnT2fGjBksXLiQatWq8cknn9C5c2eCg4NxdXXNj3CEKNLi9wehYuOxKV0Ku3rVnljesXk9NBcnUu48ICHoHA6NahVAlMKaHT9+HF9fX+Lj42nWrBnNmjXj4cOHXLp0iW+++Ya+ffvi7e2d6fuVUrzwwgusXbsWV1dXunXrhsFg4KuvviIoKCjLa0dERNCyZUsiIyNp1qwZ0dHR7N69G39/fwwGAyNGjEhX3t/fn5iYGGrXrk3dunWJiori8OHDvP/++2zfvp0tW7ak+84S1iFfkhkbG5t0rTFplFJ8/fXXvP/++/Tr1w+ARYsW4enpybJly3j11VfzIxwhirTYwNRp1o7tm2XZxZRGs7PFqX0zYtYHErv1gCQzOaSUQlnR4GnNySFbfy+y8u233xIXF8eqVauMv9vTnD17lqeeeirL9//000+sXbuWKlWqsHv3bmPic+3aNdq0acOVK1cyfe/atWt57rnnWLRoEc7OzsZjffv25eOPP34smZk7dy6dO3c2lgV4+PAhgwYN4vfff+enn37i5ZdfzsntCwuQL8lMSEgIPj4+2Nvb07x5c6ZOnUqlSpW4fPky4eHhdOnyz2wKe3t72rZty/79+yWZESIfpM1icmrXLNvvcercMjWZ2XYQj//651NkhZOKjedyhcxnjFmaiqFb0Jwd81TH7du3AejQocNj52rWrPnE98+dOxeAjz/+OF0LTtmyZZk0aRLDhw/P9L1ubm7MmzcvXXLSp08f6taty8mTJwkNDaVChQrGc3379n2sDldXV2bOnMnvv//O2rVrJZmxQiZPZpo3b87ixYupVq0at27d4pNPPqFVq1acPn2a8PBwADw9PdO9x9PTM8vMOyEhIV1fZlRUlKnDFqJQSg67Q9K5y6BpOD7dONvvc2qfmvgk/BlMSsRD9E9JF7DIXOPGjfnjjz94+eWX+eCDD2jSpAm6bO6+npSUxJEjR9DpdI+16gC88MILWSYzTZo0wcPD47Hj1apV4+TJk4SFhaVLZiD1H9wbN27kwoULxMTEYDAYUEoZzwnrY/Jkplu3bsY/161bl5YtW1K5cmUWLVpEixYtAB5r0lRKZdnMOW3aNKZMmWLqUIUo9NJaZewb1kBfzC3b77PxKoFtlXIkXbhK/IEgnLu1ya8QCx3NyYGKodaz6KDm5JDnOt5++2327t3L+vXrWb9+Pe7u7jRv3pyePXvi5+eX5XjIe/fukZiYiLe3N3Z2do+dd3FxoVixYjx48CDD95cpUybD4y4uLgDp/iGslGLChAnMnDnTmLz828OHDzONVViufJ+a7ezsTN26dQkJCTGOo0lroUlz+/btx1prHjVx4kQiIyONr2vXruVrzEIUFnG7jwLg2LZpjt/r2KZRah17T5g0psJO0zR0zo5W88rreBlI7erZsWMHe/bs4Z133qF69eps376dN954g+rVq3Px4sVsPbfMZJZ4POl9/7ZixQpmzJhB6dKlWblyJTdu3CAxMRGllDHpyepawnLlezKTkJDA2bNn8fb2pmLFinh5ebF161bj+cTERHbt2kWrVq0yrcPe3h43N7d0LyFE1pRSxO3/E/gnMckJx9Z/JzP7jps0LlE4aZqGr68vn3/+OYcOHSIsLIyBAwcSFhbGe++9l+n7ihcvjq2tLeHh4SQmJj52Pjo6moiICJPEuHr1agDmzJnDc889h4+PD7a2tgBcunTJJNcQ5mHyZGbChAns2rWLy5cvc+jQIZ5//nmioqIYOnQomqYxduxYpk6dyurVqzl16hR+fn44OTkxaNAgU4ciRJGWfC2clJu3wUaPQ+PaOX6/Y+sGACSevkjKvQjTBicKvZIlSzJ58mQATp48mWk5W1tbmjZtisFgMCYbj1q5cqXJYkrrqipbtuxj53755ReTXUcUPJMnM9evX2fgwIFUr16dfv36YWdnx8GDBylfvjwA77zzDmPHjmXUqFE0adKEGzdusGXLFlljRggTiz+Y2ipj36AGulyMi9CXKIZdzUoAxO2TriaRublz53L58uXHjv/xR+rmpk9a8TdtJuuHH36YbhjC9evX+eijj0wWZ7VqqesszZs3L1130p49e/jiiy9Mdh1R8Ew+AHj58uVZntc0jcmTJxszdiFE/og78HcXU4t6ua7DsXVDEs9eIm7vCdmnSWRq7ty5jBw5klq1alGzZk1sbGwIDg4mKCgIR0dHJk2alOX7hwwZwsqVK1m/fj3Vq1enY8eOGAwGtm/fTvv27UlJSTGuIpwXb7zxBgsXLmT27NkEBgZSr149bty4wd69exk/fjxffvllnq8hzEP2ZhKikIo/+BcADi3r57oO4yBgGTcjsvDxxx8zfPhwNE1j+/btrF+/ntjYWF555RX++usvWrZsmeX7NU1j5cqVfPTRR5QoUYINGzbw559/MnbsWH755Rdu3bpF8eLF8xxntWrVOHLkCL169eLu3busW7eO6OhofvjhB2mZsXKassKh21FRUbi7uxMZGSmDgYXIQPLt+1yp3Qc0jQrnN+R6nZiU+5GEVu8JQIWz69CXKGbKMK1SfHw8ly9fpmLFijg45H1as8jaoUOHaNGiBc8884yx20pYnux+LvLr+1taZoQohOIPpbbK2NWqlKcF7/Qe7v+Mm/m7pUeI/HDy5EmSkpLSHQsNDWXkyJEAMklEZClftjMQQphX/N/jZRya576LKY1DywYknr1E/IE/cenZNs/1CZGRt99+m6NHj1K/fn1KlSrF9evXOXr0KPHx8XTv3p3BgwebO0RhwSSZEaIQivt7JpNjHsbLpHFsWZ+o+b8RdyAoz3UJkRk/Pz8MBgMnT55k79692NnZUbduXQYNGsTrr79uksX9ROElyYwQhUxKVDSJpy4A4JCHmUxp0upIPHWBlKho9G4uea5TiH978cUXefHFF80dhrBSMmZGiEIm/tBJUArbimWw8SqR5/psvEpgW6kMKJVatxBCWBhJZoQoZNIWy8vLlOx/S6srXrqahBAWSJIZIQoZ4+BfE3QxpXFs1QD4ZyE+IYSwJJLMCFGIGOISiA86B4BjywYmq9fh77oSgs5hiIkzWb1CCGEKkswIUYgkHD8DScnovUpgU97bZPXalvXCpownJKcQf+y0yeoVQghTkGRGiELk0SnZpp7K+s+4GelqEkJYFklmhChE4vcHAeDQwnSDf9OkrVkT9/c1hBDCUkgyI0QhoRKTiD9yCvhnwK4pGcfNHDuDSkg0ef0ic2FhYUyePNkkO0cLURhJMiNEIZHwZzAqLgFdcXdsq1cwef22lcuiL+mBSkgk/sQ5k9cvMhcWFsaUKVMkmREiE5LMCFFIpE2bdmxh+vEyAJqmyXozIlOapqV72draUqJECerWrYufnx+rVq0iOTnZ3GGKQkqSGSEKCeN4GRNOyf4347gZGQQsMjF06FCGDh3KwIEDad26NcnJySxevJjnn3+emjVrcvjwYZNcZ+HChWiaxuTJk01Sn7BusjeTEIWASkkh7tBfgGk2l8yMsWXm8ElUcjKajfwKEektXLjwsWMXL17kvffe45dffqF9+/bs27ePBg0aFHhsovCSlhkhCoHEUxdQ0bHo3Fywq105365jV7MSOncXVEwcCSdD8u06onCpXLkyK1aswN/fn9jYWIYPH27ukEQhI8mMEIVA3N9jWBya10XT6/PtOppOZ5z2LevNiJz66quvcHZ25sSJE+zduzfduQ0bNjB8+HBq1qyJm5sbzs7O1K9fn6lTp5KQkJCubLt27Rg2bBgAU6ZMSTdWJ61lSCnFzz//zIsvvki1atVwdnbG1dWVZs2aMXv2bAwGQ4HcsygYkswIUQikrf3ikA9Tsv9N9mkqWCEhIcyaNQuAWbNmERJivS1i7u7udOvWDYCdO3emO+fv78+vv/6Ku7s7zzzzDG3atOHatWu8//77dO/enZSUFGPZZ555htatWwNQv3594zidoUOHUqVKFQASEhIYNGgQW7ZsoVSpUvTq1YvmzZtz+vRpXn/9dWkdKmyUFYqMjFSAioyMNHcoQpidISVFXaraXV0o4avijp7K9+vFHT+jLpTwVZeqdFOGlJR8v56liYuLU2fOnFFxcXH5fq358+crnU6n9Hq9ApRer1c6nU4tWLAg36+dU4DKzlfKJ598ogA1cODAdMdXr16toqOj0x2LiopSPXv2VIBatGhRunMLFixQgJo0aVKG10lKSlKrVq1SCQkJ6Y7fvn1bNWnSRAFq165d2bgzkR3Z/Vzk1/e3tMwIYeUST13A8CAKzdkR+3rV8/169nWrojk5Yoh4SOK5y/l+vaIqJCSEESNGYDAYjK0SKSkpGAwG/P39uXDhgpkjzJ0SJUoA8ODBg3TH+/bti7Ozc7pjrq6uzJw5E4C1a9fm6Do2Njb069cPOzu7dMdLlizJtGnTclWnsFwyFUEIKxcbeAQAR99GaLb5/5HWbGxwaFaHuMAjxO8Pwr5W/g04Lsrmz5+f6XpBmqYREBBg/FK2JkopgAzvLSQkhI0bN3LhwgViYmIwGAzG8rntXgsKCmLLli1cuXKF2NhYlFI8fPgwT3UKyyPJjBBWLi4wdd0Op3ZNC+yaji0bEBd4hLj9QbiPeK7ArluUhIaGGr/I/00pRWhoaMEGZCJ3794FwMPDw3hMKcWECROYOXNmpvecloBkV2JiIn5+fvz888+ZlslpncJySTeTEFbMEBNH3KGTADi2L7hkxqF1AwDi9h5HPTIwU5hOhQoVsmyZqVChQsEGZCJBQUEA1KpVy3hsxYoVzJgxg9KlS7Ny5Upu3LhBYmIiSinjTKbMkpzMzJgxg59//pk6derwxx9/cOvWLWOdwcHBuapTWC5JZoSwYnEH/oTEJGzKemFbqWyBXdehcS107i4YHkSRcPxsgV23KBk+fHiWLTP+/v4FHFHeRUZGsmnTJgDat29vPL569WoA5syZw3PPPYePjw+2trYAXLp0KVfXSqvz559/5plnnqFUqVJ5rlNYLklmhLBiaV1Mju2a5st+TJnRbGxwat8MgNhtBwvsukVJ1apVCQgIQKfTof977SC9Xo9OpyMgIMA4BdmajB8/npiYGJo2bUrLli2Nx9MGA5ct+3hC/ssvv2RYV9rA3sz2e8pNncJ6STIjhBVLG/xbkONl0jh2bAFAzLYDBX7tosLPz4/g4GCGDBkCwJAhQwgODsbPz8+8geXQpUuXGDBgAAEBATg7OxMQEJDufLVq1QCYN29eutaoPXv28MUXX2RYp4+PD4Cxy+jf0uqcO3duuuMrV65k8eLFubsRYbE0ZYWdhlFRUbi7uxMZGYmbm5u5wxHCLJKu3+Jqw+dBp6PCufXoixXsZyH59n2u1O4DQPlTa7DxLF6g1zeX+Ph4Ll++TMWKFXFwcCiQax4/fpzGjRtz7NgxGjVqVCDXzKm0lsGhQ4cCYDAYiIqK4vz585w7dw6lFFWrVmXZsmU0adIk3XvPnz9Po0aNiImJoVatWtSrV48bN26wd+9exo8fz5dffkn58uXTDXqOj4+nfPny3L59m7Zt21KpUiV0Oh3Dhw+nVatW7N69mw4dOpCSkkLjxo2pVq0aISEhHD16lAkTJvDll1/Stm1bAgMDC+oRFWrZ/Vzk1/e3tMwIYaVi/9gDgEOzugWeyADYlPLAvkGN1Fh2HCrw6wvLtGjRIhYtWsTPP//Mnj170Ov1vPzyy6xatYozZ848lshAaivKkSNH6NWrF3fv3mXdunVER0fzww8/ZNoy4+DgwIYNG+jcuTNBQUEsXLiQgIAAzp8/D8DTTz/N3r176dChA5cuXeL333/Hzs6OVatW8frrr+frMxAFT6ZmC2GlYv5OZpy7+5otBqeOzUkIOkfs1gO4DexutjiE+eW1kb9mzZqsW7cuR3U3adKELVu2ZFpnixYt2L59e47qFNZJWmaEsEIpD6KI25+6N5LzM23MFodTl1YAxG4/hCE23mxxCCGKNklmhLBCsVv3Q0oKdjUrYVuxtNnisG9YE5uyXqjYOGK3y6wmIYR5SDIjhBWKXpu647BzN/O1ykDqoE+XPqnrhcSs2/mE0iK3vL29mTRpEt7e3uYORQiLJMmMEFYm5e4D44Bbl+c6mTkacO79dzKzZb90NeUTb29vJk+eLMmMEJmQZEYIKxO9Zgckp2Bfvzp21SqYOxzsG9TAprw3KjaemE17zR2OEKIIkmRGCCvzcGXq7A2X57uYOZJUmqbh2v8ZAB4uXW/maIQQRZEkM0JYkYSzl0g4dgb0elye7WjucIxcB3YHTSNuz3GSLt8wdzhCiCJGkhkhrEjUj6sAcO7ma1Er7tqW9cLx772aon763czRFAxZp0SIf5j78yDJjBBWIiXiobGLyX3Ec2aO5nFuQ3oBELVkPYaYODNHk3/SNn1MSkoycyRCWI60z0Pa56OgSTIjhJWIWrIOFRuPXa1KOLRqYO5wHuP8TGtsKpTGcD+SqKWFt3XG1tYWe3t7IiMjzf6vUSEsgVKKyMhI7O3tsbW1NUsMsp2BEFbA8DCGiO9+BsD9tQHGTf0siWZjQ7Exg7gz/gsiZi/HfVhfNDvz/GLLbyVKlODGjRtcv34dd3d3bG1tLfL/iRD5SSlFUlISkZGRREdHU7q0+RbwlGRGCCsQ8cMvGO5HYlulHK4vWMYspoy49O/K/enzSbl5m8iFa3nqlefNHVK+SNvt9+7du9y4IQOeRdFmb29P6dKlTboLdk5JMiOEhUsOu0PE98sB8HhnOJqN5X5sdQ72eLwznDvjv+DB9ABcn+uEvvhT5g4rX7i5ueHm5kZSUhIpKSnmDkcIs9Dr9WbrWnqU5f5WFEKglOLOOzNQ0bHYN6qJ899bB1gy15d6EDl/NYmnL3Dvo7mU+uZdc4eUr2xtbS3il7kQRZkMABbCgkWv3ELspr1go6fkzP+i6Sz/I6vp9ZSYNhY0jYfLNhC9PtDMEQkhCjvL/80oRBEVH3SOO+OmA1DsrZexr1XZzBFln2PL+jw1ZhAAd8Z+TuL5UPMGJIQo1CSZEcICJZy9RPhL/0XFJ+LUuSXFxg81d0g55vHuCOyb1sEQFc3N58eRdOWmuUMSQhRSZk1mZs+eTcWKFXFwcKBx48bs2bPHnOEIYRFiA49ws/doUm7fx652ZTx/mIRmpoWo8kKztcF76WfY1qhIStgdbnR7jbgDf5o7LCFEIWS2ZGbFihWMHTuW999/nxMnTtCmTRu6devG1atXzRWSEGaVHHaHO+O/IOyFcRgiHmLftA4+a2ahc3U2d2i5pvdwx+fXGdjVrkLKnQfc7PsGd96dScq9CHOHJoQoRDRlpiUsmzdvTqNGjZgzZ47xWM2aNenbty/Tpk3L8r1RUVG4u7sTGRlp1nntQuRV8u37xB/4k5jfA4n5Yy8qIREAN/9+FP9wJDonBzNHaBqG2HjuvP0l0b9sBkCzt8O5T3ucu7bG8ekm6J9yNXOEQoiCkF/f32aZmp2YmMixY8d49930Uza7dOnC/v37s11P9B970Dn961+tWeVmWaVtWb4v83Mqq0pNfb1cxphliLmusyCfs/Xfm0pMxBAVgyEqhpSIhyRfCyMp9CYpYXfSlXNoXg+PiSNwbN0wiwtZH52TA57ff4DrgGe4//EPJASdI/qXzcbkRu9VArtq5dF7lUDv4Y6+mDuaox2arW3qKsJ2tmi2NqD7Z5Vdjb///OjKu2l/fnQxXi2DckIIs4iOjcmXes2SzNy9e5eUlBQ8PT3THff09CQ8PPyx8gkJCSQkJBh/joyMBODSyMm4aLJUjrBimoZdjQo4tmqAc+8O2NetSpKmkRQVZe7I8keDariu/BK7Y2eI2bSH2MBjJF28CjfDU19CiEItWiUDpt9l26yZwL/3MlFKZbi/ybRp05gyZcpjx9s8OJpvsQlRYPYdgH0/wxfmDkQIIQrGvXv3cHd3N1l9ZklmSpQogV6vf6wV5vbt24+11gBMnDiRcePGGX+OiIigfPnyXL161aQPozCIioqibNmyXLt2TcYT/Ys8m8zJs8mcPJvMybPJmDyXzEVGRlKuXDk8PDxMWq9Zkhk7OzsaN27M1q1befbZZ43Ht27dSp8+fR4rb29vj729/WPH3d3d5S9KJtL2jRGPk2eTOXk2mZNnkzl5NhmT55I5nYlXMzdbN9O4ceMYMmQITZo0oWXLlsybN4+rV6/y2muvmSskIYQQQlghsyUzAwYM4N69e3z00UeEhYVRp04dNm7cSPny5c0VkhBCCCGskFkHAI8aNYpRo0bl+H329vZMmjQpw66nok6eTebk2WROnk3m5NlkTp5NxuS5ZC6/no3ZFs0TQgghhDAF2WhSCCGEEFZNkhkhhBBCWDVJZoQQQghh1SSZEUIIIYRVs7hkZtq0aTRt2hRXV1dKlSpF3759CQ4OfuL7fvrpJ+rXr4+TkxPe3t4MGzaMe/fuFUDEBSe3z+b777+nZs2aODo6Ur16dRYvXlwA0RasOXPmUK9ePeMiVS1btuSPP/7I8j27du2icePGODg4UKlSJebOnVtA0RasnD6bsLAwBg0aRPXq1dHpdIwdO7bggi1gOX02v/32G507d6ZkyZLG8ps3by7AiAtOTp/N3r17ad26NcWLF8fR0ZEaNWowc+bMAoy4YOTmd02affv2YWNjQ4MGDfI3SDPJ6bMJDAxE07THXufOncv5xZWF6dq1q1qwYIE6deqUCgoKUj169FDlypVT0dHRmb5nz549SqfTqW+++UZdunRJ7dmzR9WuXVv17du3ACPPf7l5NrNnz1aurq5q+fLl6uLFi+rnn39WLi4uat26dQUYef5bt26d2rBhgwoODlbBwcHqvffeU7a2turUqVMZlr906ZJycnJSb775pjpz5oz6v//7P2Vra6tWrlxZwJHnv5w+m8uXL6s33nhDLVq0SDVo0EC9+eabBRtwAcrps3nzzTfV559/rg4fPqzOnz+vJk6cqGxtbdXx48cLOPL8l9Nnc/z4cbVs2TJ16tQpdfnyZbVkyRLl5OSkfvjhhwKOPH/l9LmkiYiIUJUqVVJdunRR9evXL5hgC1hOn83OnTsVoIKDg1VYWJjxlZycnONrW1wy82+3b99WgNq1a1emZb744gtVqVKldMe+/fZbVaZMmfwOz6yy82xatmypJkyYkO7Ym2++qVq3bp3f4ZldsWLF1I8//pjhuXfeeUfVqFEj3bFXX31VtWjRoiBCM7usns2j2rZtW6iTmYxk99mkqVWrlpoyZUo+RmQ5cvpsnn32WTV48OB8jMgyZOe5DBgwQH3wwQdq0qRJhTaZyUhWzyYtmXnw4EGer2Nx3Uz/FhkZCZDlplStWrXi+vXrbNy4EaUUt27dYuXKlfTo0aOgwjSL7DybhIQEHBwc0h1zdHTk8OHDJCUl5Wt85pKSksLy5cuJiYmhZcuWGZY5cOAAXbp0SXesa9euHD16tNA+F8jesymqcvNsDAYDDx8+NPmmeZYmN8/mxIkT7N+/n7Zt2+ZzdOaT3eeyYMECLl68yKRJkwowOvPKyd+Zhg0b4u3tTceOHdm5c2fuLpjndCgfGQwG1atXL+Xr6/vEsr/++qtycXFRNjY2ClC9e/dWiYmJBRCleWT32UycOFF5eXmpo0ePKoPBoI4cOaJKlSqlAHXz5s0CirZg/PXXX8rZ2Vnp9Xrl7u6uNmzYkGnZqlWrqk8//TTdsX379hXK56JUzp7No4pCy0xun41SSk2fPl15eHioW7du5WOE5pObZ1O6dGllZ2endDqd+uijjwogyoKXk+dy/vx5VapUKRUcHKyUUoW+ZSYnz+bcuXNq3rx56tixY2r//v1q5MiRStO0LHsbMmPRycyoUaNU+fLl1bVr17Isd/r0aeXt7a2mT5+u/vzzT7Vp0yZVt25dNXz48AKKtOBl99nExsaqYcOGKRsbG6XX65WPj4965513FFDofgEnJCSokJAQdeTIEfXuu++qEiVKqNOnT2dYtmrVqmrq1Knpju3du1cBKiwsrCDCLVA5eTaPKgrJTG6fzbJly5STk5PaunVrAURpHrl5NpcuXVJ//fWXmjdvnvLw8FDLli0roGgLTnafS3JysmrSpImaM2eO8VhhT2Zy+3lK07NnT9WrV68cX9dik5nRo0erMmXKqEuXLj2x7ODBg9Xzzz+f7tiePXsK7b+yc/Js0iQmJqpr166p5ORk46DglJSUfIzS/Dp27KheeeWVDM+1adNGvfHGG+mO/fbbb8rGxqZQt+ilyerZPKooJDP/lp1ns3z5cuXo6Kh+//33AorKMmT3702ajz/+WFWrVi0fI7IMmT2XBw8eKEDp9XrjS9M047Ht27ebIdqCldO/M5988slj4xmzw6wbTWZEKcWYMWNYvXo1gYGBVKxY8YnviY2NxcYm/a3o9XpjfYVFbp5NGltbW8qUKQPA8uXL6dmzJzqdxQ+ZyhOlFAkJCRmea9myJevXr093bMuWLTRp0gRbW9uCCM+ssno2Rd2Tns3PP//M8OHD+fnnnwv9uLx/y+nfm6Ly9yyz+3Rzc+PkyZPpjs2ePZsdO3awcuXKHP0Ot1Y5/Ttw4sQJvL29c3UhizJy5Ejl7u6uAgMD003Vio2NNZZ599131ZAhQ4w/L1iwQNnY2KjZs2erixcvqr1796omTZqoZs2ameMW8k1unk1wcLBasmSJOn/+vDp06JAaMGCA8vDwUJcvXzbDHeSfiRMnqt27d6vLly+rv/76S7333ntKp9OpLVu2KKUefy5pU7PfeustdebMGRUQEFBop2bn9NkopdSJEyfUiRMnVOPGjdWgQYPUiRMnctRUbC1y+myWLVumbGxs1Pfff5/uMxgREWGuW8g3OX023333nVq3bp06f/68On/+vJo/f75yc3NT77//vrluIV/k5vP0qMLczZTTZzNz5ky1evVqdf78eXXq1Cn17rvvKkCtWrUqx9e2uGQGyPC1YMECY5mhQ4eqtm3bpnvft99+q2rVqqUcHR2Vt7e3eumll9T169cLNvh8lptnc+bMGdWgQQPl6Oio3NzcVJ8+fdS5c+cKPvh8Nnz4cFW+fHllZ2enSpYsqTp27Gj8ACmV8d+ZwMBA1bBhQ2VnZ6cqVKiQrl+7MMnNs8no71n58uULNvACkNNn07Zt2wyfzdChQws++HyW02fz7bffqtq1aysnJyfl5uamGjZsqGbPnl3ourNz83l6VGFOZnL6bD7//HNVuXJl5eDgoIoVK6Z8fX1zNAD/UZpShagfRgghhBBFTuEeNCGEEEKIQk+SGSGEEEJYNUlmhBBCCGHVJJkRQgghhFWTZEYIIYQQVk2SGSGEEEJYNUlmhBBCCGHVJJkRQgghhFWTZEYIIYQQVk2SGSFEodGuXTs0TUPTNIKCgswWh5+fnzGONWvWmC0OIYoKSWaEKISaN2/OK6+8ku6Yn58f7777rpkiKjj/+c9/CAsLo06dOsZj4eHhvPnmm1SpUgUHBwc8PT3x9fVl7ty5xMbGZrvuXr160alTpwzPHThwAE3TOH78ON988w1hYWF5vhchRPbYmDsAIYRppaSkcPLkSfz8/IzHDAYDGzZsYN26deYLrIA4OTnh5eVl/PnSpUu0bt2ap556iqlTp1K3bl2Sk5M5f/488+fPx8fHh969e2erbn9/f/r168eVK1coX758unPz58+nQYMGNGrUCAB3d3fT3ZQQIkvSMiNEIXPu3Dni4uKMX6oA+/btQ6fT0bx5cwDWrFmDm5sbSikuXLiApmncuHEDg8GAs7MzmzZteqzedu3aMWbMGMaOHUuxYsXw9PRk3rx5xMTEMGzYMFxdXalcuTJ//PFHuvdt2rQJX19fnnrqKYoXL07Pnj25ePGi8fzKlSupW7cujo6OFC9enE6dOhETE/PEc9k1atQobGxsOHr0KP3796dmzZrUrVuX5557jg0bNtCrVy9jWaUU06dPp1KlSjg6OlK/fn1WrlxpPN+zZ09KlSrFwoUL010jNjaWFStW4O/vn6PYhBCmIcmMEIXMiRMn0Ov11KtXz3hs3bp19OrVC50u9SMfFBRE/fr10TSNv/76i+LFi1O6dGnOnz9PbGws9evXz7DuRYsWUaJECQ4fPsyYMWMYOXIkL7zwAq1ateL48eN07dqVIUOGpOu6iYmJYdy4cRw5coTt27ej0+l49tlnMRgMhIWFMXDgQIYPH87Zs2cJDAykX79+KKWyPJdd9+7dY8uWLbz++us4OztnWEbTNOOfP/jgAxYsWMCcOXM4ffo0b731FoMHD2bXrl0A2NjY8PLLL7Nw4cJ0cfz6668kJiby0ksvZTs2IYQJKSFEoTJu3DhVu3btdMeqVaum1q1bZ/y5b9++avTo0UoppT788EPVsWNHpZRSy5cvVyVLlsyw3rZt2ypfX1/jz8nJycrZ2VkNGTLEeCwsLEwB6sCBA5nGd/v2bQWokydPqmPHjilAhYaGPlYuq3OZadu2rXrzzTeNPx88eFAB6rfffktXrnjx4srZ2Vk5Ozurd955RymlVHR0tHJwcFD79+9PV9bf318NHDjQ+PPZs2cVoHbs2GE89vTTT6crkwZQq1evznb8QojckZYZIQqZEydOpOtiOnv2LNevX083cDUoKIgGDRoA8OeffxpbYtJabDLzaGuPXq+nePHi1K1b13jM09MTgNu3bxuPXbx4kUGDBlGpUiXc3NyoWLEiAFevXqV+/fp07NiRunXr8sILL/B///d/PHjwACDLczn1aOsLwOHDhwkKCqJ27dokJCQAcObMGeLj4+ncuTMuLi7G1+LFi9N1i9WoUYNWrVoxf/584/3t2bOH4cOH5yo2IUTeSTIjRCETFBSULplZt24dnTt3xtHREYCHDx8SGhpqTEL+/PNPY2Jz/Phx458zYmtrm+5nTdPSHUtLGgwGg/FYr169uHfvHv/3f//HoUOHOHToEACJiYno9Xq2bt3KH3/8Qa1atZg1axbVq1fn8uXLWZ7LripVqqBpGufOnUt3vFKlSlSpUsX4TB6NecOGDQQFBRlfZ86cSTduBlIHAq9atYqoqCgWLFhA+fLl6dixY7bjEkKYliQzQhQioaGhPHjwgIYNGxqPrV27Nt1snbQpw66urkRGRhIaGkqDBg24c+cOu3btonPnziaL5969e5w9e5YPPviAjh07UrNmzcdaVzRNo3Xr1kyZMoUTJ05gZ2fH6tWrn3guO4oXL07nzp357rvvnjhwuFatWtjb23P16lWqVKmS7lW2bNl0Zfv3749er2fZsmUsWrSIYcOGPdb6I4QoODI1W4hC5MSJE2iaZkxmbt++zZEjR9It3Fa6dGmcnJyYMWMGPXv2xNbWlvj4ePr160ezZs1MmswUK1aM4sWLM2/ePLy9vbl69Wq6tW4OHTrE9u3b6dKlC6VKleLQoUPcuXOHmjVrZnkuJ2bPnk3r1q1p0qQJkydPpl69euh0Oo4cOcK5c+do3LgxkJrcTZgwgbfeeguDwYCvry9RUVHs378fFxcXhg4daqzTxcWFAQMG8N577xEZGZluGrwQouBJMiNEIXLs2DGqVKmCm5sbAOvXr6d58+aUKlXKWMbZ2Zlff/2VMWPG8OOPPwLQrVs3hg0bxocffmjSFgadTsfy5ct54403qFOnDtWrV+fbb7+lXbt2ALi5ubF7926+/vproqKiKF++PF999RXdunXj7NmzmZ7LicqVK3PixAmmTp3KxIkTuX79Ovb29tSqVYsJEyYwatQoY9mPP/6YUqVKMW3aNC5dusRTTz1Fo0aNeO+99x6r19/fn4CAALp06UK5cuXy9JyEEHmjKZWDeY5CCIvWpEkTmjVrxuzZswHo3bs3vr6+vPPOOxmWHzRoEAA//fRToegmadeuHQ0aNODrr782dyhAajfZ6tWr6du3r7lDEaJQkzEzQlg5pRShoaF8/PHHnDp1ijFjxhjP+fr6MnDgwEzfGxwcTNOmTQtFIpNm9uzZuLi4cPLkSbPF8Nprr+Hi4mK26wtR1EjLjBBW7q+//qJly5bUq1ePzz77jLZt22brfcnJybi4uLBhw4ZCMxPnxo0bxMXFAVCuXDns7OzMEsft27eJiooCwNvbO9MF+4QQpiHJjBBCCCGsmnQzCSGEEMKqSTIjhBBCCKsmyYwQQgghrJokM0IIIYSwapLMCCGEEMKqSTIjhBBCCKsmyYwQQgghrJokM0IIIYSwapLMCCGEEMKqSTIjhBBCCKsmyYwQQgghrNr/A2Y8M9lTDOC1AAAAAElFTkSuQmCC", "text/plain": [ "
    " ] @@ -822,10 +822,10 @@ "start_time": "2023-11-09T18:41:11.293166815Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:27.558451Z", - "iopub.status.busy": "2023-11-28T11:33:27.558055Z", - "iopub.status.idle": "2023-11-28T11:33:27.647143Z", - "shell.execute_reply": "2023-11-28T11:33:27.646663Z" + "iopub.execute_input": "2023-12-04T17:59:40.707461Z", + "iopub.status.busy": "2023-12-04T17:59:40.707278Z", + "iopub.status.idle": "2023-12-04T17:59:40.798205Z", + "shell.execute_reply": "2023-12-04T17:59:40.797701Z" } }, "outputs": [ @@ -869,10 +869,10 @@ "start_time": "2023-11-09T18:41:11.474037243Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:27.649399Z", - "iopub.status.busy": "2023-11-28T11:33:27.649062Z", - "iopub.status.idle": "2023-11-28T11:33:28.538788Z", - "shell.execute_reply": "2023-11-28T11:33:28.538233Z" + "iopub.execute_input": "2023-12-04T17:59:40.800679Z", + "iopub.status.busy": "2023-12-04T17:59:40.800314Z", + "iopub.status.idle": "2023-12-04T17:59:41.673739Z", + "shell.execute_reply": "2023-12-04T17:59:41.673236Z" } }, "outputs": [ @@ -881,7 +881,7 @@ "output_type": "stream", "text": [ "\n", - "p_value for the Null hypothesis = 6.263464435996013e-08" + "p_value for the Null hypothesis = 1.0159465838377457e-05" ] }, { @@ -895,7 +895,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Significance (in units of sigma) = 5.285635234552657" + "Significance (in units of sigma) = 4.261357037247675" ] }, { @@ -908,7 +908,7 @@ { "data": { "text/plain": [ - "(6.263464435996013e-08, 5.285635234552657)" + "(1.0159465838377457e-05, 4.261357037247675)" ] }, "execution_count": 23, diff --git a/advanced-python/60sPlot.html b/advanced-python/60sPlot.html index bff54948..6fa27fc6 100644 --- a/advanced-python/60sPlot.html +++ b/advanced-python/60sPlot.html @@ -526,7 +526,7 @@

    Simple sPlot example 
    -<matplotlib.legend.Legend at 0x7fe8cd4adbd0>
+<matplotlib.legend.Legend at 0x7f6903a9a010>
    @@ -787,10 +787,10 @@

    Splot
     name         value  (rounded)    at limit
 ---------  ------------------  ----------
-bkg_yield              118288       False
-sig_yield             19994.9       False
-lambda            -0.00199282       False
-mu                    5279.13       False
+bkg_yield              118019       False
+sig_yield             20129.1       False
+lambda            -0.00198148       False
+mu                    5278.98       False

    @@ -880,9 +880,9 @@

    Splot 
    -{<zfit.Parameter 'bkg_yield' floating=True value=1.183e+05>: array([ 0.43558435, -0.11874282, -0.13822532, ..., -0.17512655,
-        1.12206157,  1.12206157]), <zfit.Parameter 'sig_yield' floating=True value=1.999e+04>: array([ 0.56441637,  1.11873869,  1.13822103, ...,  1.17512192,
-       -0.12205485, -0.12205485])}
+{<zfit.Parameter 'bkg_yield' floating=True value=1.18e+05>: array([-0.20020408,  0.34444933, -0.18941231, ...,  1.12223252,
+        1.1222375 ,  1.1222375 ]), <zfit.Parameter 'sig_yield' floating=True value=2.013e+04>: array([ 1.20019875,  0.65555005,  1.18940708, ..., -0.12222642,
+       -0.1222314 , -0.1222314 ])}

    @@ -899,8 +899,8 @@

    Splot 
    -Sum of signal sWeights:  19994.91242527526
-Sum of background sWeights:  118287.69463159253
+Sum of signal sWeights:  20129.07670524305
+Sum of background sWeights:  118019.44560632452

    Now we can apply the signal sWeights on the lifetime distribution and retrieve its signal components.

    @@ -949,7 +949,7 @@

    Splot 
    -Correlation between m and t: 0.03204199885110951
+Correlation between m and t: 0.03564589921983625

    Let’s apply to signal sWeights on the mass distribution to see how bad the results of sPlot is when applied on a variable that is correlated with the discrimant variable.

    @@ -1085,7 +1085,7 @@

    We have no information about real labels 
    -<matplotlib.legend.Legend at 0x7fe8c0875b90>
+<matplotlib.legend.Legend at 0x7f68dcba0d90>
    @@ -1129,7 +1129,7 @@

    Fitting doesn’t give us information about real labels 
     ((0.0, 10.0),
- <matplotlib.legend.Legend at 0x7fe8c04e0c50>,
+ <matplotlib.legend.Legend at 0x7f68dcdf0d90>,
  Text(0.5, 0, 'mass'))

    @@ -1221,7 +1221,7 @@

    An important requirement of sPlot 
    --0.3427804026275555
+-0.3341968872732588

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

    @@ -1239,8 +1239,8 @@

    An important requirement of sPlot 
    -0.006941041584924261
--0.0017748083282814761
+0.0008158585205216673
+0.0036852275555464588

    as a demonstration why this is important let’s use sweights to reconstruct mass (obviously mass is correlated with mass):

    diff --git a/advanced-python/60sPlot.ipynb b/advanced-python/60sPlot.ipynb index a498d647..55d9d714 100644 --- a/advanced-python/60sPlot.ipynb +++ b/advanced-python/60sPlot.ipynb @@ -21,10 +21,10 @@ "start_time": "2023-11-09T18:41:33.174962617Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:30.939240Z", - "iopub.status.busy": "2023-11-28T11:33:30.938837Z", - "iopub.status.idle": "2023-11-28T11:33:34.178521Z", - "shell.execute_reply": "2023-11-28T11:33:34.177994Z" + "iopub.execute_input": "2023-12-04T17:59:44.100547Z", + "iopub.status.busy": "2023-12-04T17:59:44.100385Z", + "iopub.status.idle": "2023-12-04T17:59:47.406372Z", + "shell.execute_reply": "2023-12-04T17:59:47.405829Z" } }, "outputs": [ @@ -53,10 +53,10 @@ "start_time": "2023-11-09T18:41:33.175105562Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:34.181173Z", - "iopub.status.busy": "2023-11-28T11:33:34.180600Z", - "iopub.status.idle": "2023-11-28T11:33:34.184430Z", - "shell.execute_reply": "2023-11-28T11:33:34.184040Z" + "iopub.execute_input": "2023-12-04T17:59:47.408934Z", + "iopub.status.busy": "2023-12-04T17:59:47.408324Z", + "iopub.status.idle": "2023-12-04T17:59:47.412155Z", + "shell.execute_reply": "2023-12-04T17:59:47.411650Z" } }, "outputs": [], @@ -87,17 +87,17 @@ "start_time": "2023-11-09T18:41:33.175205312Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:34.186382Z", - "iopub.status.busy": "2023-11-28T11:33:34.186052Z", - "iopub.status.idle": "2023-11-28T11:33:34.441109Z", - "shell.execute_reply": "2023-11-28T11:33:34.440596Z" + "iopub.execute_input": "2023-12-04T17:59:47.414367Z", + "iopub.status.busy": "2023-12-04T17:59:47.413975Z", + "iopub.status.idle": "2023-12-04T17:59:47.670890Z", + "shell.execute_reply": "2023-12-04T17:59:47.670268Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 3, @@ -106,7 +106,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -146,10 +146,10 @@ "start_time": "2023-11-09T18:41:35.114998403Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:34.443212Z", - "iopub.status.busy": "2023-11-28T11:33:34.442888Z", - "iopub.status.idle": "2023-11-28T11:33:34.445938Z", - "shell.execute_reply": "2023-11-28T11:33:34.445514Z" + "iopub.execute_input": "2023-12-04T17:59:47.672969Z", + "iopub.status.busy": "2023-12-04T17:59:47.672631Z", + "iopub.status.idle": "2023-12-04T17:59:47.675850Z", + "shell.execute_reply": "2023-12-04T17:59:47.675413Z" } }, "outputs": [], @@ -169,16 +169,16 @@ "start_time": "2023-11-09T18:41:35.159083078Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:34.447623Z", - "iopub.status.busy": "2023-11-28T11:33:34.447475Z", - "iopub.status.idle": "2023-11-28T11:33:34.887412Z", - "shell.execute_reply": "2023-11-28T11:33:34.886844Z" + "iopub.execute_input": "2023-12-04T17:59:47.677803Z", + "iopub.status.busy": "2023-12-04T17:59:47.677463Z", + "iopub.status.idle": "2023-12-04T17:59:48.100598Z", + "shell.execute_reply": "2023-12-04T17:59:48.100032Z" } }, "outputs": [ { "data": { - "image/png": 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    " ] @@ -242,10 +242,10 @@ "start_time": "2023-11-09T18:41:35.641363489Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:34.889364Z", - "iopub.status.busy": "2023-11-28T11:33:34.889192Z", - "iopub.status.idle": "2023-11-28T11:33:34.892424Z", - "shell.execute_reply": "2023-11-28T11:33:34.892011Z" + "iopub.execute_input": "2023-12-04T17:59:48.102857Z", + "iopub.status.busy": "2023-12-04T17:59:48.102405Z", + "iopub.status.idle": "2023-12-04T17:59:48.105974Z", + "shell.execute_reply": "2023-12-04T17:59:48.105424Z" } }, "outputs": [], @@ -266,16 +266,16 @@ "start_time": "2023-11-09T18:41:35.682988823Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:34.894170Z", - "iopub.status.busy": "2023-11-28T11:33:34.893885Z", - "iopub.status.idle": "2023-11-28T11:33:35.077012Z", - "shell.execute_reply": "2023-11-28T11:33:35.076550Z" + "iopub.execute_input": "2023-12-04T17:59:48.107828Z", + "iopub.status.busy": "2023-12-04T17:59:48.107452Z", + "iopub.status.idle": "2023-12-04T17:59:48.277674Z", + "shell.execute_reply": "2023-12-04T17:59:48.277087Z" } }, "outputs": [ { "data": { - "image/png": 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afr7Mlebj4eGhRYsWKSkpSbNmzVL//v31xRdfaPz48WrQoIFefPFFTZs2Tb6+vrrlllvsF7Rr2LChPvroI8XExCg0NFQhISGaO3eu7r///svOfeXKlXrmmWf0xBNP6NChQ2rSpIkiIiKqDCvn5/fxxx8rKSlJL7zwgm644QZ16tRJ48ePt/d599139eSTT+qBBx7QqVOn1K5dOz3//POSzv1uxMTE2H/vZs+ebf9q88V69uypf//735o1a5aefvppBQQEKCkpyeGEWwCorUy2mhzMNyCr1Sqz2aySkhL5+fk5vHbmzBkdOHDAfnVeoL772XqmWv1+KyvVocKflPe/G3S64txhpdoY9F2GFRbgii73+X0hbn4IAAAMr17f/BAAroiVDsAQWGEBAACGR2ABAACGR2ABAACGR2ABAACGx0m3AGBEfCUacMAKCwAAMDwCC/D/FBQUyGQyOdzL6HpLS0u74g0kAaA+qt+HhK73smk9WaYdOHCgevTooZSUlN99XwUFBQoODlZeXp569Ojxu+/v9xYVFeVwmf/ExES9//77Lg1RF1uQXfWNGquDq+QCqClWWGqRsrIyV5dwzdhsNp09e9bVZRiOj4+Pmjdv7vR2v/322+9QDQAYB4HFwAYOHKjJkycrLi5OTZs21eDBgyVJu3bt0l133aWGDRvK399f0dHRKi4utm9XUVGhuXPnql27dvLy8lLr1q317LPP2l/fuXOn7rjjDvn4+KhJkyaaOHGiTp48aX997NixGjlypObNm6eAgAA1adJEkyZNcvhQTE1NVfv27eXt7S1/f3/96U9/sm/75ZdfauHChTKZTDKZTCooKNAXX3whk8mkNWvWKDw8XF5eXtq4caN9XxeKjY3VwIEDqzWf4OBgSVJoaKhMJpPDditXrlTnzp3l7e2tTp06Vbpr8ddff63Q0FB5e3srPDxceXl5V/yZtGnTRk8//bQefPBBNWzYUC1bttTixYsd+hQWFmrEiBFq2LCh/Pz8NGrUKP3888/213fs2KHbb79djRo1kp+fn8LCwrR9+3ZJjoeE0tLSNGfOHO3YscP+XqalpUmSTCaTXn75ZY0YMUK+vr565plnJEnLli1T27Zt5enpqY4dO+r11193qM1kMulf//qXHn5olIJb3KSI0K5ak/XxFecNAK5GYDG4VatWycPDQ5s3b9by5ctlsVh02223qUePHtq+fbs+/fRT/fzzzxo1apR9m/j4eM2dO1cJCQnatWuX3nrrLfn7+0uSfv31Vw0dOlSNGzfWtm3b9M4772jdunWaPHmyw37Xr1+v/fv3a/369Vq1apXS0tLsH5bbt2/X448/rqSkJO3Zs0effvqpBgwYIElauHChIiIiNGHCBFksFlksFgUGBtrHnTZtmpKTk7V7925169atWu/B5ebz9ddfS5LWrVsni8Wi1atXS5JeeeUVzZgxQ88++6x2796t5557TgkJCVq1apUk6dSpUxo+fLg6duyo3NxcJSYm6sknn6xWPS+++KK6deumb775RvHx8Zo6daqys7MlnVs5GjlypH755Rd9+eWXys7O1v79+xUVFWXf/qGHHlKrVq20bds25ebmavr06brhhhsq7ScqKkpPPPGEunTpYn8vLxxn9uzZGjFihHbu3KlHHnlE7733nqZMmaInnnhC3333nR599FE9/PDDWr9+vcO4c+bM0f+59359vnmb7owcor9PeFj/++WXas0dAFylfp/DUgu0a9dOL7zwgv35rFmz1LNnTz333HP2ttdee02BgYHau3evAgICtHDhQi1ZskRjxoyRJLVt21Z//OMfJUlvvvmmTp8+rfT0dPn6+kqSlixZonvuuUdz5861B4HGjRtryZIlcnd3V6dOnXT33Xfrs88+04QJE1RYWChfX18NHz5cjRo1UlBQkEJDQyVJZrNZnp6eatCggVq0aFFpPklJSfaVouo4ceLEZefTrFkzSVKTJk0c9vf0009r/vz5uu+++ySdW4nZtWuXli9frjFjxujNN99UeXm5XnvtNTVo0EBdunTRf//7X/3tb3+7Yk39+vXT9OnTJUkdOnTQ5s2btWDBAg0ePFjr1q3Tt99+qwMHDtiD2uuvv64uXbpo27Zt6tWrlwoLC/WPf/xDnTp1kiS1b9++yv34+PioYcOG8vDwqPK9fPDBB/XII484PB87dqz+/ve/S5Li4uK0detWzZs3T7fffru939ixY3Xvn84Fn/hZSXp1+TLlfbNddwyKvOLcAcBVWGExuPDwcIfnubm5Wr9+vRo2bGh/nP/g279/v3bv3q3S0lLdeeedVY63e/dude/e3R5WpHMfwBUVFdqzZ4+9rUuXLnJ3d7c/DwgI0JEjRyRJgwcPVlBQkG6++WZFR0frzTff1K+//lqj+VzJleZTlaNHj+rgwYMaN26cw/v0zDPPaP/+/fZxu3fvrgYNGti3i4iIqNb4F/eLiIjQ7t277eMGBgY6rCqFhIToxhtvtPeJi4vT+PHjNWjQID3//PP2mpx18Xu5e/du9evXz6GtX79+9v2ed+HKlq+vrxo2aqTio0drVAMAXC8EFoO7MFhI587nuOeee5Sfn+/w2LdvnwYMGCAfH5/Ljmez2WQymap87cL2iw9RmEwmVVRUSJIaNWqkb775RhkZGQoICNCsWbPUvXt3HT9+3On5uLm5yWazObRdeK7MleZTlfN1vvLKKw7v0XfffaetW7dKUqV9Xq3z792l3t8L2xMTE/X999/r7rvv1ueff66QkBC99957Tu/z4vfywjqq2u95l/vZAoBREVhqmZ49e+r7779XmzZt1K5dO4eHr6+v2rdvLx8fH3322WdVbh8SEqL8/HydOnXK3rZ582a5ubmpQ4fqf+XUw8NDgwYN0gsvvKBvv/1WBQUF+vzzzyVJnp6eKi8vr9Y4zZo1k8VicWi78Cu8V5qPp6enJDnsz9/fX3/4wx/0448/VnqPzp+kGxISoh07duj06dP27c6HmSu5uN/WrVvtq1whISEqLCzUwYMH7a/v2rVLJSUl6ty5s72tQ4cOmjp1qtauXav77rtPK1euvOT8qvtedu7cWZs2bXJo27Jli8N+AaC2IrDUMpMmTdIvv/yiBx54QF9//bV+/PFHrV27Vo888ojKy8vl7e2tp556StOmTVN6err279+vrVu36tVXX5V07oRPb29vjRkzRt99953Wr1+vxx57TNHR0fbzV67k448/1qJFi5Sfn6+ffvpJ6enpqqioUMeOHSWd+ybNV199pYKCAhUXF1/2r/c77rhD27dvV3p6uvbt26fZs2fru+++s79+pfk0b95cPj4+9pOPS0pKJJ1bxUhOTtbChQu1d+9e7dy5UytXrtRLL70k6dz5Hm5ubho3bpx27dqlrKwszZs3r1rz37x5s1544QXt3btXS5cu1TvvvKMpU6ZIkgYNGqRu3brpoYce0jfffKOvv/5ao0eP1m233abw8HCdPn1akydP1hdffKGffvpJmzdv1rZt2y4ZKtq0aaMDBw4oPz9fxcXFKi0ttb92/Ncy/Ww9Y39MmDRFaWlpemHBYuXkfac5z83V6tWr9cjfHrf3Ob8dANQ2BJZapmXLltq8ebPKy8s1ZMgQde3aVVOmTJHZbJab27kfZ0JCgp544gnNmjVLnTt3VlRUlP38kwYNGmjNmjX65Zdf1KtXL/3pT3/SnXfeqSVLllS7hhtvvFGrV6/WHXfcoc6dO+vll19WRkaGunTpIkl68skn5e7urpCQEDVr1kyFhYWXHGvIkCFKSEjQtGnT1KtXL504cUKjR4926HO5+Xh4eGjRokVavny5WrZsqREjRkiSxo8fr3/9619KS0vTLbfcottuu01paWn2FZaGDRvqo48+0q5duxQaGqoZM2Zo7ty51Zr/E088odzcXIWGhtpP7h0yZIikc4dX3n//fTVu3FgDBgzQoEGDdPPNNyszM1OS5O7urmPHjmn06NHq0KGDRo0apWHDhmnOnDlV7uv+++/X0KFDdfvtt6tZs2bKyMi4ZF3Dhv8fPf38PKUuWqDbevfU6ytfVUrqCvXrP6Ba8wIAIzPZrvXBfBexWq0ym80qKSmRn5+fw2tnzpzRgQMHFBwcLG9vbxdViLqgTZs2io2NVWxsrKtLsa+Y/J5+KyvVocKflPe/G3S6wv3KG1xBrbzSbW28QnVtrBn11uU+vy/ECgsAADA8AgsAADA8LhwHOKGgoMDVJQBAvcQKCwAAMLx6FVjqyPnFwPVj/52p+mKDAHC91IvAcv4S82VlXH8CcEb52bOqsNl0lqwPwMXqxTksHh4eatCggY4ePaobbrjBfr0SoDb7raz0yp2ugs1WoeO/FOuXUpN+s7HCAsC16kVgMZlMCggI0IEDB/TTTz+5uhzgmrCe/u3Kna6CTVLpWZsKfvUSh4QAuFq9CCzSuXuytG/fnsNCqDPSNh/4Xce3yaTSCpNshBUABlBvAot07s7AXOkWdcW1uPIsANQWnMwBAAAMr0aBJTU11X5fnrCwMG3cuPGSfTdt2qR+/fqpSZMm8vHxUadOnbRgwQKHPmlpaTKZTJUeZ878/vdKAQAAxuf0IaHMzEzFxsYqNTVV/fr10/LlyzVs2DDt2rVLrVu3rtTf19dXkydPVrdu3eTr66tNmzbp0Ucfla+vryZOnGjv5+fnpz179jhsy+EbAAAg1SCwvPTSSxo3bpzGjx8vSUpJSdGaNWu0bNkyJScnV+ofGhqq0NBQ+/M2bdpo9erV2rhxo0NgMZlMatGiRbXrKC0tVWnp//+1TqvV6uxUAABALeHUIaGysjLl5uYqMjLSoT0yMlJbtmyp1hh5eXnasmWLbrvtNof2kydPKigoSK1atdLw4cOVl5d32XGSk5NlNpvtj8DAQGemAgAAahGnAktxcbHKy8vl7+/v0O7v76+ioqLLbtuqVSt5eXkpPDxckyZNsq/QSFKnTp2UlpamDz/8UBkZGfL29la/fv20b9++S44XHx+vkpIS++PgwYPOTAUAANQiNfpas8nkeF0Gm81Wqe1iGzdu1MmTJ7V161ZNnz5d7dq10wMPPCBJ6tOnj/r06WPv269fP/Xs2VOLFy/WokWLqhzPy8tLXl5eNSkfAADUMk4FlqZNm8rd3b3SasqRI0cqrbpcLDg4WJJ0yy236Oeff1ZiYqI9sFzMzc1NvXr1uuwKCwAAqD+cOiTk6empsLAwZWdnO7RnZ2erb9++1R7HZrM5nDBb1ev5+fkKCAhwpjwAAFBHOX1IKC4uTtHR0QoPD1dERIRWrFihwsJCxcTESDp3bsmhQ4eUnp4uSVq6dKlat26tTp06STp3XZZ58+bpscces485Z84c9enTR+3bt5fVatWiRYuUn5+vpUuXXos5AgCAWs7pwBIVFaVjx44pKSlJFotFXbt2VVZWloKCgiRJFotFhYWF9v4VFRWKj4/XgQMH5OHhobZt2+r555/Xo48+au9z/PhxTZw4UUVFRTKbzQoNDdWGDRt06623XoMpAgCA2s5ks9lsri7iWrBarTKbzSopKZGfn5+rywF+dwuy97q6BKdNHdzB1SU4LzHR1RU4rzbWjHqrup/f9ermhwDqKT7AgVqPmx8CAADDI7AAAADDI7AAAADDI7AAAADD46RbwIVq4zd9AMAVWGEBAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACG51GTjVJTU/Xiiy/KYrGoS5cuSklJUf/+/avsu2nTJj311FP64Ycf9OuvvyooKEiPPvqopk6d6tDv3XffVUJCgvbv36+2bdvq2Wef1b333luT8gAY1ILsvTXedurgDtewEgC1jdMrLJmZmYqNjdWMGTOUl5en/v37a9iwYSosLKyyv6+vryZPnqwNGzZo9+7dmjlzpmbOnKkVK1bY++Tk5CgqKkrR0dHasWOHoqOjNWrUKH311Vc1nxkAAKgzTDabzebMBr1791bPnj21bNkye1vnzp01cuRIJScnV2uM++67T76+vnr99dclSVFRUbJarfrkk0/sfYYOHarGjRsrIyOjWmNarVaZzWaVlJTIz8/PiRkBrnM1Kw71zVWtsCQmXrM6aoX6Nl/UatX9/HZqhaWsrEy5ubmKjIx0aI+MjNSWLVuqNUZeXp62bNmi2267zd6Wk5NTacwhQ4ZcdszS0lJZrVaHBwAAqJucCizFxcUqLy+Xv7+/Q7u/v7+Kioouu22rVq3k5eWl8PBwTZo0SePHj7e/VlRU5PSYycnJMpvN9kdgYKAzUwEAALVIjU66NZlMDs9tNlultott3LhRJ0+e1NatWzV9+nS1a9dODzzwQI3HjI+PV1xcnP251WoltACAdHWHhDicBINyKrA0bdpU7u7ulVY+jhw5UmmF5GLBwcGSpFtuuUU///yzEhMT7YGlRYsWTo/p5eUlLy8vZ8oHAAC1lFOHhDw9PRUWFqbs7GyH9uzsbPXt27fa49hsNpWWltqfR0REVBpz7dq1To0JAADqLqcPCcXFxSk6Olrh4eGKiIjQihUrVFhYqJiYGEnnDtUcOnRI6enpkqSlS5eqdevW6tSpk6Rz12WZN2+eHnvsMfuYU6ZM0YABAzR37lyNGDFCH3zwgdatW6dNmzZdizkCAIBazunAEhUVpWPHjikpKUkWi0Vdu3ZVVlaWgoKCJEkWi8XhmiwVFRWKj4/XgQMH5OHhobZt2+r555/Xo48+au/Tt29fvf3225o5c6YSEhLUtm1bZWZmqnfv3tdgigAAoLZz+josRsV1WFAbcR2W6uM6LNcJ7xWus9/lOiwAAACuQGABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACG5+HqAgCgWhITXV0BABdihQUAABgegQUAABgegQUAABhejQJLamqqgoOD5e3trbCwMG3cuPGSfVevXq3BgwerWbNm8vPzU0REhNasWePQJy0tTSaTqdLjzJkzNSkPAADUMU4HlszMTMXGxmrGjBnKy8tT//79NWzYMBUWFlbZf8OGDRo8eLCysrKUm5ur22+/Xffcc4/y8vIc+vn5+clisTg8vL29azYrAABQpzj9LaGXXnpJ48aN0/jx4yVJKSkpWrNmjZYtW6bk5ORK/VNSUhyeP/fcc/rggw/00UcfKTQ01N5uMpnUokULZ8sBAAD1gFMrLGVlZcrNzVVkZKRDe2RkpLZs2VKtMSoqKnTixAnddNNNDu0nT55UUFCQWrVqpeHDh1dagblYaWmprFarwwMAANRNTgWW4uJilZeXy9/f36Hd399fRUVF1Rpj/vz5OnXqlEaNGmVv69Spk9LS0vThhx8qIyND3t7e6tevn/bt23fJcZKTk2U2m+2PwMBAZ6YCAABqkRqddGsymRye22y2Sm1VycjIUGJiojIzM9W8eXN7e58+ffTXv/5V3bt3V//+/fXvf/9bHTp00OLFiy85Vnx8vEpKSuyPgwcP1mQqAACgFnDqHJamTZvK3d290mrKkSNHKq26XCwzM1Pjxo3TO++8o0GDBl22r5ubm3r16nXZFRYvLy95eXlVv3gAAFBrObXC4unpqbCwMGVnZzu0Z2dnq2/fvpfcLiMjQ2PHjtVbb72lu++++4r7sdlsys/PV0BAgDPlAQCAOsrpbwnFxcUpOjpa4eHhioiI0IoVK1RYWKiYmBhJ5w7VHDp0SOnp6ZLOhZXRo0dr4cKF6tOnj311xsfHR2azWZI0Z84c9enTR+3bt5fVatWiRYuUn5+vpUuXXqt5AgCAWszpwBIVFaVjx44pKSlJFotFXbt2VVZWloKCgiRJFovF4Zosy5cv19mzZzVp0iRNmjTJ3j5mzBilpaVJko4fP66JEyeqqKhIZrNZoaGh2rBhg2699darnB7w+1uQvdfVJQBAnWey2Ww2VxdxLVitVpnNZpWUlMjPz8/V5aAeIbBcH33SL30S/pVEtG1yDSup47grNq6z6n5+cy8hAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeAQWAABgeB6uLgAAYCCJia7ZFrgCVlgAAIDhEVgAAIDhEVgAAIDhEVgAAIDhEVgAAIDhEVgAAIDhEVgAAIDhEVgAAIDh1SiwpKamKjg4WN7e3goLC9PGjRsv2Xf16tUaPHiwmjVrJj8/P0VERGjNmjWV+r377rsKCQmRl5eXQkJC9N5779WkNAAAUAc5HVgyMzMVGxurGTNmKC8vT/3799ewYcNUWFhYZf8NGzZo8ODBysrKUm5urm6//Xbdc889ysvLs/fJyclRVFSUoqOjtWPHDkVHR2vUqFH66quvaj4zAABQZ5hsNpvNmQ169+6tnj17atmyZfa2zp07a+TIkUpOTq7WGF26dFFUVJRmzZolSYqKipLVatUnn3xi7zN06FA1btxYGRkZVY5RWlqq0tJS+3Or1arAwECVlJTIz8/PmSkBV2VB9l5Xl1Av9ElfXONtI9o2uYaV4JK4ND9qwGq1ymw2X/Hz26kVlrKyMuXm5ioyMtKhPTIyUlu2bKnWGBUVFTpx4oRuuukme1tOTk6lMYcMGXLZMZOTk2U2m+2PwMBAJ2YCAABqE6cCS3FxscrLy+Xv7+/Q7u/vr6KiomqNMX/+fJ06dUqjRo2ytxUVFTk9Znx8vEpKSuyPgwcPOjETAABQm9Tobs0mk8nhuc1mq9RWlYyMDCUmJuqDDz5Q8+bNr2pMLy8veXl5OVE1AACorZwKLE2bNpW7u3ullY8jR45UWiG5WGZmpsaNG6d33nlHgwYNcnitRYsWNRoTAADUD04dEvL09FRYWJiys7Md2rOzs9W3b99LbpeRkaGxY8fqrbfe0t13313p9YiIiEpjrl279rJjAgCA+sPpQ0JxcXGKjo5WeHi4IiIitGLFChUWFiomJkbSuXNLDh06pPT0dEnnwsro0aO1cOFC9enTx76S4uPjI7PZLEmaMmWKBgwYoLlz52rEiBH64IMPtG7dOm3atOlazRMAANRiTl+HJSoqSikpKUpKSlKPHj20YcMGZWVlKSgoSJJksVgcrsmyfPlynT17VpMmTVJAQID9MWXKFHufvn376u2339bKlSvVrVs3paWlKTMzU717974GUwQAALWd09dhMarqfo8buNa4Dsv1wXVYagGuw4IaqO7nd42+JQQANXE1oQNA/cbNDwEAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOERWAAAgOF5uLoAwAgWZO91dQkAgMtghQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABgegQUAABhejQJLamqqgoOD5e3trbCwMG3cuPGSfS0Wix588EF17NhRbm5uio2NrdQnLS1NJpOp0uPMmTM1KQ8AANQxTgeWzMxMxcbGasaMGcrLy1P//v01bNgwFRYWVtm/tLRUzZo104wZM9S9e/dLjuvn5yeLxeLw8Pb2drY8AABQBzkdWF566SWNGzdO48ePV+fOnZWSkqLAwEAtW7asyv5t2rTRwoULNXr0aJnN5kuOazKZ1KJFC4cHAACA5GRgKSsrU25uriIjIx3aIyMjtWXLlqsq5OTJkwoKClKrVq00fPhw5eXlXbZ/aWmprFarwwMAANRNTgWW4uJilZeXy9/f36Hd399fRUVFNS6iU6dOSktL04cffqiMjAx5e3urX79+2rdv3yW3SU5Oltlstj8CAwNrvH8AAGBsNTrp1mQyOTy32WyV2pzRp08f/fWvf1X37t3Vv39//fvf/1aHDh20ePHiS24THx+vkpIS++PgwYM13j8AADA2D2c6N23aVO7u7pVWU44cOVJp1eVquLm5qVevXpddYfHy8pKXl9c12ycAADAup1ZYPD09FRYWpuzsbIf27Oxs9e3b95oVZbPZlJ+fr4CAgGs2JgAAqL2cWmGRpLi4OEVHRys8PFwRERFasWKFCgsLFRMTI+ncoZpDhw4pPT3dvk1+fr6kcyfWHj16VPn5+fL09FRISIgkac6cOerTp4/at28vq9WqRYsWKT8/X0uXLr0GUwQAXBeJia7ZFvWC04ElKipKx44dU1JSkiwWi7p27aqsrCwFBQVJOnehuIuvyRIaGmr/79zcXL311lsKCgpSQUGBJOn48eOaOHGiioqKZDabFRoaqg0bNujWW2+9iqkBAIC6wmSz2WyuLuJasFqtMpvNKikpkZ+fn6vLQS2zIHuvq0uoF/qkX/pE+t9TRNsmLtkvnMAKS71V3c9v7iUEAAAMj8ACAAAMj8ACAAAMj8ACAAAMz+lvCQFAbZOz/1iNt+WEXcAYWGEBAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACG5+HqAoBrYUH2XleXAAD4HbHCAgAADK9GgSU1NVXBwcHy9vZWWFiYNm7ceMm+FotFDz74oDp27Cg3NzfFxsZW2e/dd99VSEiIvLy8FBISovfee68mpQEAgDrI6cCSmZmp2NhYzZgxQ3l5eerfv7+GDRumwsLCKvuXlpaqWbNmmjFjhrp3715ln5ycHEVFRSk6Olo7duxQdHS0Ro0apa+++srZ8gAAQB1kstlsNmc26N27t3r27Klly5bZ2zp37qyRI0cqOTn5stsOHDhQPXr0UEpKikN7VFSUrFarPvnkE3vb0KFD1bhxY2VkZFSrLqvVKrPZrJKSEvn5+VV/QqgTOIelduiTvtjVJTgtom0TV5dQPyQmuroCuEh1P7+dOum2rKxMubm5mj59ukN7ZGSktmzZUrNKdW6FZerUqQ5tQ4YMqRRsLlRaWqrS0lL7c6vVWuP9A6i+2hg6ANR+Th0SKi4uVnl5ufz9/R3a/f39VVRUVOMiioqKnB4zOTlZZrPZ/ggMDKzx/gEAgLHV6KRbk8nk8Nxms1Vq+73HjI+PV0lJif1x8ODBq9o/AAAwLqcOCTVt2lTu7u6VVj6OHDlSaYXEGS1atHB6TC8vL3l5edV4nwAAoPZwaoXF09NTYWFhys7OdmjPzs5W3759a1xEREREpTHXrl17VWMCAIC6w+kr3cbFxSk6Olrh4eGKiIjQihUrVFhYqJiYGEnnDtUcOnRI6enp9m3y8/MlSSdPntTRo0eVn58vT09PhYSESJKmTJmiAQMGaO7cuRoxYoQ++OADrVu3Tps2bboGUwQAALWd04ElKipKx44dU1JSkiwWi7p27aqsrCwFBQVJOnehuIuvyRIaGmr/79zcXL311lsKCgpSQUGBJKlv3756++23NXPmTCUkJKht27bKzMxU7969r2JqAACgrnD6OixGxXVY6jeuw3L91LevNXMdluuE67DUW9X9/OZeQgAAwPAILAAAwPAILAAAwPAILAAAwPCc/pYQAADX3NWcdMsJu/UCKywAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwuNItAFxGzv5jNd42om2Ta1gJUL+xwgIAAAyPwAIAAAyPwAIAAAyPc1iAeqhP+mJXlwAATiGwwDAWZO91dQkAAIPikBAAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADA8AgsAADC8GgWW1NRUBQcHy9vbW2FhYdq4ceNl+3/55ZcKCwuTt7e3br75Zr388ssOr6elpclkMlV6nDlzpiblAQCAOsbpwJKZmanY2FjNmDFDeXl56t+/v4YNG6bCwsIq+x84cEB33XWX+vfvr7y8PP3zn//U448/rnfffdehn5+fnywWi8PD29u7ZrMCAAB1itN3a37ppZc0btw4jR8/XpKUkpKiNWvWaNmyZUpOTq7U/+WXX1br1q2VkpIiSercubO2b9+uefPm6f7777f3M5lMatGiRbXrKC0tVWlpqf251Wp1dioAAKCWcGqFpaysTLm5uYqMjHRoj4yM1JYtW6rcJicnp1L/IUOGaPv27frtt9/sbSdPnlRQUJBatWql4cOHKy8v77K1JCcny2w22x+BgYHOTAUAANQiTgWW4uJilZeXy9/f36Hd399fRUVFVW5TVFRUZf+zZ8+quLhYktSpUyelpaXpww8/VEZGhry9vdWvXz/t27fvkrXEx8erpKTE/jh48KAzUwEAALWI04eEpHOHby5ks9kqtV2p/4Xtffr0UZ8+feyv9+vXTz179tTixYu1aNGiKsf08vKSl5dXTcoHAAC1jFMrLE2bNpW7u3ul1ZQjR45UWkU5r0WLFlX29/DwUJMmTaouys1NvXr1uuwKCwAAqD+cCiyenp4KCwtTdna2Q3t2drb69u1b5TYRERGV+q9du1bh4eG64YYbqtzGZrMpPz9fAQEBzpQHAADqKKcPCcXFxSk6Olrh4eGKiIjQihUrVFhYqJiYGEnnzi05dOiQ0tPTJUkxMTFasmSJ4uLiNGHCBOXk5OjVV19VRkaGfcw5c+aoT58+at++vaxWqxYtWqT8/HwtXbr0Gk0TAK6/nP3HarxtRNuqV6CB+srpwBIVFaVjx44pKSlJFotFXbt2VVZWloKCgiRJFovF4ZoswcHBysrK0tSpU7V06VK1bNlSixYtcvhK8/HjxzVx4kQVFRXJbDYrNDRUGzZs0K233noNpggAAGo7k+38GbC1nNVqldlsVklJifz8/FxdDmpgQfZeV5dQb/RJX+zqEnAFrLA4ITHR1RXgKlT385t7CQEAAMMjsAAAAMMjsAAAAMMjsAAAAMMjsAAAAMOr0aX5AQAwjKv5lhDfMKo1WGEBAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGx4XjgFqqT/piV5cAANcNgQXX1ILsva4uAQBQB3FICAAAGB4rLABgQDn7j9V424i2Ta5hJYAxEFgAAPUXN06sNTgkBAAADI/AAgAADI/AAgAADI9zWFAJX00GarerOWH3anCyL35PrLAAAADDI7AAAADDI7AAAADDI7AAAADDI7AAAADD41tCgFx35+Otox9zyX4BoLYhsAAArol6d/8jLut/XdUosKSmpurFF1+UxWJRly5dlJKSov79+1+y/5dffqm4uDh9//33atmypaZNm6aYmBiHPu+++64SEhK0f/9+tW3bVs8++6zuvffempQHcS0VAEDd4nRgyczMVGxsrFJTU9WvXz8tX75cw4YN065du9S6detK/Q8cOKC77rpLEyZM0BtvvKHNmzfr73//u5o1a6b7779fkpSTk6OoqCg9/fTTuvfee/Xee+9p1KhR2rRpk3r37n31swQAwEhYnXGayWaz2ZzZoHfv3urZs6eWLVtmb+vcubNGjhyp5OTkSv2feuopffjhh9q9e7e9LSYmRjt27FBOTo4kKSoqSlarVZ988om9z9ChQ9W4cWNlZGRUqy6r1Sqz2aySkhL5+fk5MyXDqo2rJFdzLogrz+eojeewuKpm4PdQKw8JuUodCyzV/fx2aoWlrKxMubm5mj59ukN7ZGSktmzZUuU2OTk5ioyMdGgbMmSIXn31Vf3222+64YYblJOTo6lTp1bqk5KScslaSktLVVpaan9utVqdmcp1UxtDR21UWz+8a2vdgJHUxnNnrqrmero641RgKS4uVnl5ufz9/R3a/f39VVRUVOU2RUVFVfY/e/asiouLFRAQcMk+lxpTkpKTkzVnzhxnyneJqYM71HxjV/1PeTXbvl7zD+CImu9VGswHP1CbXc0fd1MTr+LfWRe5qn/v6qkanXRrMpkcnttstkptV+p/cbuzY8bHxysuLs7+3Gq1KjAw8MrF1yauSsK1OIEDqJ2u6o871AtOBZamTZvK3d290srHkSNHKq2QnNeiRYsq+3t4eKhJkyaX7XOpMSXJy8tLXl5ezpQPAABqKaeudOvp6amwsDBlZ2c7tGdnZ6tv375VbhMREVGp/9q1axUeHq4bbrjhsn0uNSYAAKhfnD4kFBcXp+joaIWHhysiIkIrVqxQYWGh/boq8fHxOnTokNLT0yWd+0bQkiVLFBcXpwkTJignJ0evvvqqw7d/pkyZogEDBmju3LkaMWKEPvjgA61bt06bNm26RtMEAAC1mdOBJSoqSseOHVNSUpIsFou6du2qrKwsBQUFSZIsFosKCwvt/YODg5WVlaWpU6dq6dKlatmypRYtWmS/Bosk9e3bV2+//bZmzpyphIQEtW3bVpmZmVyDBQAASKrBdViMqi5ehwUAgLquup/f3K0ZAAAYHoEFAAAYHoEFAAAYHoEFAAAYHoEFAAAYHoEFAAAYHoEFAAAYHoEFAAAYHoEFAAAYHoEFAAAYntP3EjKq83cYsFqtLq4EAABU1/nP7SvdKajOBJYTJ05IkgIDA11cCQAAcNaJEydkNpsv+XqduflhRUWFDh8+rEaNGslkMrm6HEOyWq0KDAzUwYMHuUHk74j3+ffHe3x98D5fH/X9fbbZbDpx4oRatmwpN7dLn6lSZ1ZY3Nzc1KpVK1eXUSv4+fnVy1+K6433+ffHe3x98D5fH/X5fb7cysp5nHQLAAAMj8ACAAAMj8BSj3h5eWn27Nny8vJydSl1Gu/z74/3+Prgfb4+eJ+rp86cdAsAAOouVlgAAIDhEVgAAIDhEVgAAIDhEVgAAIDhEVjqudLSUvXo0UMmk0n5+fmuLqdOKSgo0Lhx4xQcHCwfHx+1bdtWs2fPVllZmatLq/VSU1MVHBwsb29vhYWFaePGja4uqU5JTk5Wr1691KhRIzVv3lwjR47Unj17XF1WnZacnCyTyaTY2FhXl2JYBJZ6btq0aWrZsqWry6iTfvjhB1VUVGj58uX6/vvvtWDBAr388sv65z//6erSarXMzEzFxsZqxowZysvLU//+/TVs2DAVFha6urQ648svv9SkSZO0detWZWdn6+zZs4qMjNSpU6dcXVqdtG3bNq1YsULdunVzdSmGxtea67FPPvlEcXFxevfdd9WlSxfl5eWpR48eri6rTnvxxRe1bNky/fjjj64updbq3bu3evbsqWXLltnbOnfurJEjRyo5OdmFldVdR48eVfPmzfXll19qwIABri6nTjl58qR69uyp1NRUPfPMM+rRo4dSUlJcXZYhscJST/3888+aMGGCXn/9dTVo0MDV5dQbJSUluummm1xdRq1VVlam3NxcRUZGOrRHRkZqy5YtLqqq7ispKZEk/t/9HUyaNEl33323Bg0a5OpSDK/O3PwQ1Wez2TR27FjFxMQoPDxcBQUFri6pXti/f78WL16s+fPnu7qUWqu4uFjl5eXy9/d3aPf391dRUZGLqqrbbDab4uLi9Mc//lFdu3Z1dTl1yttvv61vvvlG27Ztc3UptQIrLHVIYmKiTCbTZR/bt2/X4sWLZbVaFR8f7+qSa6Xqvs8XOnz4sIYOHao///nPGj9+vIsqrztMJpPDc5vNVqkN18bkyZP17bffKiMjw9Wl1CkHDx7UlClT9MYbb8jb29vV5dQKnMNShxQXF6u4uPiyfdq0aaO//OUv+uijjxz+gS8vL5e7u7seeughrVq16vcutVar7vt8/h+hw4cP6/bbb1fv3r2VlpYmNzf+TqipsrIyNWjQQO+8847uvfdee/uUKVOUn5+vL7/80oXV1T2PPfaY3n//fW3YsEHBwcGuLqdOef/993XvvffK3d3d3lZeXi6TySQ3NzeVlpY6vAYCS71UWFgoq9Vqf3748GENGTJE//f//l/17t1brVq1cmF1dcuhQ4d0++23KywsTG+88Qb/AF0DvXv3VlhYmFJTU+1tISEhGjFiBCfdXiM2m02PPfaY3nvvPX3xxRdq3769q0uqc06cOKGffvrJoe3hhx9Wp06d9NRTT3H4rQqcw1IPtW7d2uF5w4YNJUlt27YlrFxDhw8f1sCBA9W6dWvNmzdPR48etb/WokULF1ZWu8XFxSk6Olrh4eGKiIjQihUrVFhYqJiYGFeXVmdMmjRJb731lj744AM1atTIfn6Q2WyWj4+Pi6urGxo1alQplPj6+qpJkyaElUsgsAC/k7Vr1+o///mP/vOf/1QKgixs1lxUVJSOHTumpKQkWSwWde3aVVlZWQoKCnJ1aXXG+a+MDxw40KF95cqVGjt27PUvCBCHhAAAQC3A2X8AAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwAAMDwCCwADGHgwIGaPHmyJk+erBtvvFFNmjTRzJkzZbPZ9MMPP6hBgwZ666237P1Xr14tb29v7dy504VVA7heCCwADGPVqlXy8PDQV199pUWLFmnBggX617/+pU6dOmnevHn6+9//rp9++kmHDx/WhAkT9Pzzz+uWW25xddkArgPu1gzAEAYOHKgjR47o+++/l8lkkiRNnz5dH374oXbt2iVJGj58uKxWqzw9PeXm5qY1a9bY+wKo2zxcXQAAnNenTx+HABIREaH58+ervLxc7u7ueu2119ShQwe5ubnpu+++I6wA9QiHhADUGjt27NCpU6d06tQpFRUVubocANcRKywADGPr1q2Vnrdv317u7u765ZdfNHbsWM2YMUNFRUV66KGH9M0338jHx8dF1QK4nlhhAWAYBw8eVFxcnPbs2aOMjAwtXrxYU6ZMkSTFxMQoMDBQM2fO1EsvvSSbzaYnn3zSxRUDuF5YYQFgGKNHj9bp06d16623yt3dXY899pgmTpyo9PR0ZWVlKS8vTx4eHvLw8NCbb76pvn376u6779Zdd93l6tIB/M74lhAAQxg4cKB69OihlJQUV5cCwIA4JAQAAAyPwAIAAAyPQ0IAAMDwWGEBAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACGR2ABAACG9/8BaqdLXj91kmcAAAAASUVORK5CYII=", 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", 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    " ] @@ -309,16 +309,16 @@ "start_time": "2023-11-09T18:41:35.973225726Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:35.079105Z", - "iopub.status.busy": "2023-11-28T11:33:35.078775Z", - "iopub.status.idle": "2023-11-28T11:33:35.247694Z", - "shell.execute_reply": "2023-11-28T11:33:35.247151Z" + "iopub.execute_input": "2023-12-04T17:59:48.279909Z", + "iopub.status.busy": "2023-12-04T17:59:48.279560Z", + "iopub.status.idle": "2023-12-04T17:59:48.454040Z", + "shell.execute_reply": "2023-12-04T17:59:48.453480Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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    " ] @@ -351,10 +351,10 @@ "start_time": "2023-11-09T18:41:36.281084677Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:35.249788Z", - "iopub.status.busy": "2023-11-28T11:33:35.249462Z", - "iopub.status.idle": "2023-11-28T11:33:35.287884Z", - "shell.execute_reply": "2023-11-28T11:33:35.287358Z" + "iopub.execute_input": "2023-12-04T17:59:48.456012Z", + "iopub.status.busy": "2023-12-04T17:59:48.455725Z", + "iopub.status.idle": "2023-12-04T17:59:48.492632Z", + "shell.execute_reply": "2023-12-04T17:59:48.492063Z" } }, "outputs": [ @@ -416,10 +416,10 @@ "start_time": "2023-11-09T18:41:36.367032133Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:35.290086Z", - "iopub.status.busy": "2023-11-28T11:33:35.289898Z", - "iopub.status.idle": "2023-11-28T11:33:35.339606Z", - "shell.execute_reply": "2023-11-28T11:33:35.339078Z" + "iopub.execute_input": "2023-12-04T17:59:48.494979Z", + "iopub.status.busy": "2023-12-04T17:59:48.494600Z", + "iopub.status.idle": "2023-12-04T17:59:48.532838Z", + "shell.execute_reply": "2023-12-04T17:59:48.532269Z" } }, "outputs": [], @@ -439,10 +439,10 @@ "start_time": "2023-11-09T18:41:36.420048637Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:35.342251Z", - "iopub.status.busy": "2023-11-28T11:33:35.341969Z", - "iopub.status.idle": "2023-11-28T11:33:35.359755Z", - "shell.execute_reply": "2023-11-28T11:33:35.359311Z" + "iopub.execute_input": "2023-12-04T17:59:48.535266Z", + "iopub.status.busy": "2023-12-04T17:59:48.535093Z", + "iopub.status.idle": "2023-12-04T17:59:48.551994Z", + "shell.execute_reply": "2023-12-04T17:59:48.551422Z" } }, "outputs": [], @@ -473,16 +473,16 @@ "start_time": "2023-11-09T18:41:36.467019213Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:35.361867Z", - "iopub.status.busy": "2023-11-28T11:33:35.361594Z", - "iopub.status.idle": "2023-11-28T11:33:36.803693Z", - "shell.execute_reply": "2023-11-28T11:33:36.803186Z" + "iopub.execute_input": "2023-12-04T17:59:48.554243Z", + "iopub.status.busy": "2023-12-04T17:59:48.554068Z", + "iopub.status.idle": "2023-12-04T17:59:50.056354Z", + "shell.execute_reply": "2023-12-04T17:59:50.055737Z" } }, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -539,10 +539,10 @@ "start_time": "2023-11-09T18:41:39.708082190Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:36.805574Z", - "iopub.status.busy": "2023-11-28T11:33:36.805418Z", - "iopub.status.idle": "2023-11-28T11:33:37.853327Z", - "shell.execute_reply": "2023-11-28T11:33:37.852789Z" + "iopub.execute_input": "2023-12-04T17:59:50.058596Z", + "iopub.status.busy": "2023-12-04T17:59:50.058227Z", + "iopub.status.idle": "2023-12-04T17:59:51.136636Z", + "shell.execute_reply": "2023-12-04T17:59:51.136173Z" } }, "outputs": [ @@ -552,7 +552,7 @@ "text": [ "name value (rounded) at limit\n", "--------- ------------------ ----------\n", - "bkg_yield 118288 False" + "bkg_yield 118019 False" ] }, { @@ -560,7 +560,7 @@ "output_type": "stream", "text": [ "\n", - "sig_yield 19994.9 False" + "sig_yield 20129.1 False" ] }, { @@ -568,7 +568,7 @@ "output_type": "stream", "text": [ "\n", - "lambda -0.00199282 False" + "lambda -0.00198148 False" ] }, { @@ -576,7 +576,7 @@ "output_type": "stream", "text": [ "\n", - "mu 5279.13 False" + "mu 5278.98 False" ] }, { @@ -610,10 +610,10 @@ "start_time": "2023-11-09T18:41:41.690949558Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:37.855300Z", - "iopub.status.busy": "2023-11-28T11:33:37.855130Z", - "iopub.status.idle": "2023-11-28T11:33:37.859851Z", - "shell.execute_reply": "2023-11-28T11:33:37.859348Z" + "iopub.execute_input": "2023-12-04T17:59:51.138675Z", + "iopub.status.busy": "2023-12-04T17:59:51.138333Z", + "iopub.status.idle": "2023-12-04T17:59:51.143255Z", + "shell.execute_reply": "2023-12-04T17:59:51.142728Z" } }, "outputs": [], @@ -656,10 +656,10 @@ "start_time": "2023-11-09T18:41:41.695055246Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:37.861671Z", - "iopub.status.busy": "2023-11-28T11:33:37.861371Z", - "iopub.status.idle": "2023-11-28T11:33:38.080918Z", - "shell.execute_reply": "2023-11-28T11:33:38.080391Z" + "iopub.execute_input": "2023-12-04T17:59:51.145130Z", + "iopub.status.busy": "2023-12-04T17:59:51.144813Z", + "iopub.status.idle": "2023-12-04T17:59:51.369931Z", + "shell.execute_reply": "2023-12-04T17:59:51.369404Z" } }, "outputs": [ @@ -675,7 +675,7 @@ }, { "data": { - "image/png": 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", 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", "text/plain": [ "
    " ] @@ -721,10 +721,10 @@ "start_time": "2023-11-09T18:41:42.047242018Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:38.082935Z", - "iopub.status.busy": "2023-11-28T11:33:38.082598Z", - "iopub.status.idle": "2023-11-28T11:33:38.188847Z", - "shell.execute_reply": "2023-11-28T11:33:38.188315Z" + "iopub.execute_input": "2023-12-04T17:59:51.372104Z", + "iopub.status.busy": "2023-12-04T17:59:51.371761Z", + "iopub.status.idle": "2023-12-04T17:59:51.484265Z", + "shell.execute_reply": "2023-12-04T17:59:51.483705Z" }, "scrolled": true }, @@ -733,9 +733,9 @@ "name": "stdout", "output_type": "stream", "text": [ - "{: array([ 0.43558435, -0.11874282, -0.13822532, ..., -0.17512655,\n", - " 1.12206157, 1.12206157]), : array([ 0.56441637, 1.11873869, 1.13822103, ..., 1.17512192,\n", - " -0.12205485, -0.12205485])}" + "{: array([-0.20020408, 0.34444933, -0.18941231, ..., 1.12223252,\n", + " 1.1222375 , 1.1222375 ]), : array([ 1.20019875, 0.65555005, 1.18940708, ..., -0.12222642,\n", + " -0.1222314 , -0.1222314 ])}" ] }, { @@ -763,10 +763,10 @@ "start_time": "2023-11-09T18:41:42.255058309Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:38.191245Z", - "iopub.status.busy": "2023-11-28T11:33:38.190973Z", - "iopub.status.idle": "2023-11-28T11:33:38.202200Z", - "shell.execute_reply": "2023-11-28T11:33:38.201640Z" + "iopub.execute_input": "2023-12-04T17:59:51.486698Z", + "iopub.status.busy": "2023-12-04T17:59:51.486420Z", + "iopub.status.idle": "2023-12-04T17:59:51.497698Z", + "shell.execute_reply": "2023-12-04T17:59:51.497216Z" } }, "outputs": [ @@ -788,7 +788,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "19994.91242527526" + "20129.07670524305" ] }, { @@ -816,7 +816,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "118287.69463159253" + "118019.44560632452" ] }, { @@ -848,16 +848,16 @@ "start_time": "2023-11-09T18:41:42.302977717Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:38.204648Z", - "iopub.status.busy": "2023-11-28T11:33:38.204331Z", - "iopub.status.idle": "2023-11-28T11:33:39.362226Z", - "shell.execute_reply": "2023-11-28T11:33:39.361670Z" + "iopub.execute_input": "2023-12-04T17:59:51.500024Z", + "iopub.status.busy": "2023-12-04T17:59:51.499842Z", + "iopub.status.idle": "2023-12-04T17:59:52.667012Z", + "shell.execute_reply": "2023-12-04T17:59:52.666436Z" } }, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
    " ] @@ -902,10 +902,10 @@ "start_time": "2023-11-09T18:41:43.914957342Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:39.364334Z", - "iopub.status.busy": "2023-11-28T11:33:39.364002Z", - "iopub.status.idle": "2023-11-28T11:33:39.369105Z", - "shell.execute_reply": "2023-11-28T11:33:39.368709Z" + "iopub.execute_input": "2023-12-04T17:59:52.669094Z", + "iopub.status.busy": "2023-12-04T17:59:52.668762Z", + "iopub.status.idle": "2023-12-04T17:59:52.673663Z", + "shell.execute_reply": "2023-12-04T17:59:52.673139Z" } }, "outputs": [ @@ -913,7 +913,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "Correlation between m and t: 0.03204199885110951" + "Correlation between m and t: 0.03564589921983625" ] }, { @@ -944,16 +944,16 @@ "start_time": "2023-11-09T18:41:43.919368369Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:39.370783Z", - "iopub.status.busy": "2023-11-28T11:33:39.370605Z", - "iopub.status.idle": "2023-11-28T11:33:39.555016Z", - "shell.execute_reply": "2023-11-28T11:33:39.554502Z" + "iopub.execute_input": "2023-12-04T17:59:52.675607Z", + "iopub.status.busy": "2023-12-04T17:59:52.675303Z", + "iopub.status.idle": "2023-12-04T17:59:52.863047Z", + "shell.execute_reply": "2023-12-04T17:59:52.862486Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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    " ] @@ -988,10 +988,10 @@ "start_time": "2023-11-09T18:41:44.214787904Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:39.556942Z", - "iopub.status.busy": "2023-11-28T11:33:39.556771Z", - "iopub.status.idle": "2023-11-28T11:33:39.559346Z", - "shell.execute_reply": "2023-11-28T11:33:39.558946Z" + "iopub.execute_input": "2023-12-04T17:59:52.865098Z", + "iopub.status.busy": "2023-12-04T17:59:52.864777Z", + "iopub.status.idle": "2023-12-04T17:59:52.867553Z", + "shell.execute_reply": "2023-12-04T17:59:52.867038Z" } }, "outputs": [], @@ -1008,16 +1008,16 @@ "start_time": "2023-11-09T18:41:44.221274727Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:39.560940Z", - "iopub.status.busy": "2023-11-28T11:33:39.560786Z", - "iopub.status.idle": "2023-11-28T11:33:40.037139Z", - "shell.execute_reply": "2023-11-28T11:33:40.036627Z" + "iopub.execute_input": "2023-12-04T17:59:52.869485Z", + "iopub.status.busy": "2023-12-04T17:59:52.869186Z", + "iopub.status.idle": "2023-12-04T17:59:53.153723Z", + "shell.execute_reply": "2023-12-04T17:59:53.153103Z" } }, "outputs": [ { "data": { - "image/png": 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", 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amppeuioAgCPLOBzTNAEA9D/79++PHTt2RFlZWbvxsrKy2LZt21GtUV9fH9u2bYuLL744PbZ9+/YOa06fPv2Ia7a1tUVra2u7AwCgp2QUjmmaAAD6p71798bBgwejqKio3XhRUVE0Nzcf8dxhw4ZFXl5eTJ48OebPnx833XRT+mfNzc0Zr1ldXR2FhYXpY/jw4V24IgCAo5NROKZpAgDo33Jyctq9TqVSHcY+bsuWLfHyyy/HfffdFzU1NbFhw4ZjWrOqqipaWlrSx65duzK8CgCAo5fblZO62jS9++678atf/SoWL14cn/vc5+Laa6/t8ppVVVVRWVmZft3a2iogAwDooiFDhsTAgQM73Jzcs2dPh5uYHzdq1KiIiJg4cWL84Q9/iGXLlqX7vKFDh2a8Zl5eXuTl5XXlMgAAMpbRzrFjbZomTpwY3/zmN2PRokWxbNmy9M+62jQVFBS0OwAA6JpBgwZFcXFx1NXVtRuvq6uL0tLSo14nlUpFW1tb+nVJSUmHNTdt2pTRmgAAPSmjcEzTBADQf1VWVsb9998fDzzwQOzcuTMWLVoUjY2NMXfu3Ij4YOf+7Nmz0/Pvvffe+PnPfx5vvPFGvPHGG/Hggw/G97///bj++uvTcxYuXBibNm2KO+64I/7lX/4l7rjjjnj22WejoqKity8PAKBTGX+ssrKyMsrLy2Py5MlRUlIS69at69A07d69Ox566KGI+KBpOvPMM2Ps2LEREbF169b4/ve/H7feemt6zYULF8ZFF10Ud9xxR1x55ZXxxBNPxLPPPhtbt27tjmsEAOAozJo1K/bt2xcrVqyIpqammDBhQmzcuDFGjBgRERFNTU3R2NiYnn/o0KGoqqqKN998M3Jzc2P06NGxcuXKuOWWW9JzSktL45FHHomlS5fGbbfdFqNHj47a2tq48MILe/36AAA6k3E4pmkCAOi/5s2bF/Pmzev0Z+vXr2/3+tZbb213w/Nwrr766rj66qu7ozygB41c/FS2SwDIipxUKpXKdhHdobW1NQoLC6OlpcXzxzguaD665q2VM7NdAtCP6B+OD/6dOGbPVWe7gr7t0qqI0J/2NH0s9K5M+oeMnjkGAAAAAP2JcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABIrN9sFAAAACfdcdbYrACDB7BwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABIrNxsFwCQiZGLn+q2td5aObPb1gIAAOD4ZOcYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAGlr1qyJUaNGRX5+fhQXF8eWLVsOO/dnP/tZXH755XHqqadGQUFBlJSUxDPPPNNuzvr16yMnJ6fD8f777/f0pQAAHJUuhWOaJgCA/qe2tjYqKipiyZIlUV9fH9OmTYsZM2ZEY2Njp/M3b94cl19+eWzcuDF27NgRl156aVxxxRVRX1/fbl5BQUE0NTW1O/Lz83vjkgAAPlHG4ZimCQCgf1q1alXMmTMnbrrpphg3blzU1NTE8OHDY+3atZ3Or6mpiW9961tx/vnnx5gxY+L222+PMWPGxM9//vN283JycmLo0KHtDgCAviLjcEzTBADQ/+zfvz927NgRZWVl7cbLyspi27ZtR7XGoUOH4p133olTTjml3fi7774bI0aMiGHDhsVXvvKVDjdJP66trS1aW1vbHQAAPSWjcEzTBADQP+3duzcOHjwYRUVF7caLioqiubn5qNb4wQ9+EO+9915cc8016bGxY8fG+vXr48knn4wNGzZEfn5+TJ06Nd54443DrlNdXR2FhYXpY/jw4V27KACAo5BROKZpAgDo33Jyctq9TqVSHcY6s2HDhli2bFnU1tbGaaedlh6fMmVKXH/99XHOOefEtGnT4tFHH42zzjorVq9efdi1qqqqoqWlJX3s2rWr6xcEAPAJcrty0rE2TU888USHpmnKlCnp11OnTo3zzjsvVq9eHXfffXena1VVVUVlZWX6dWtrq4AMAKCLhgwZEgMHDuxww3PPnj0dbox+XG1tbcyZMyf+9//+3/GlL33piHMHDBgQ559//hFvgubl5UVeXt7RFw8AcAwyCscS3zQ9V92z619a1bPrAwAcxqBBg6K4uDjq6uriqquuSo/X1dXFlVdeedjzNmzYEDfeeGNs2LAhZs6c+Ym/J5VKRUNDQ0ycOLFb6gYAOFYZfazyo03TR9XV1UVpaelhz9uwYUN84xvfiIcffjijpun000/PpDwAAI5BZWVl3H///fHAAw/Ezp07Y9GiRdHY2Bhz586NiA927s+ePTs9f8OGDTF79uz4wQ9+EFOmTInm5uZobm6OlpaW9Jzly5fHM888E7///e+joaEh5syZEw0NDek1AQCyLeOPVVZWVkZ5eXlMnjw5SkpKYt26dR2apt27d8dDDz0UEf9/03TXXXelm6aIiBNPPDEKCwsj4oOmacqUKTFmzJhobW2Nu+++OxoaGuLee+/trusEAOATzJo1K/bt2xcrVqyIpqammDBhQmzcuDFGjBgRERFNTU3R2NiYnv/DH/4wDhw4EPPnz4/58+enx2+44YZYv359RET86U9/iptvvjmam5ujsLAwJk2aFJs3b44LLrigV68NAOBwMg7HNE0AAP3XvHnzYt68eZ3+7MPe7UPPP//8J6535513xp133tkNlQEA9IwuPZBf0wQAAABAf5DRM8cAAAAAoD8RjgEAAACQWMIxAAAAABKrS88co4c8V92z619a1bPrAwAAABxn7BwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsXKzXQAAAADHpuYXr3f93Gee6sZKOJyRi4/9fX5r5cxuqAT4ODvHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAkVm62C4DjycjFT2W7BAAAAKAb2TkGAAAAQGIJxwAASFuzZk2MGjUq8vPzo7i4OLZs2XLYuT/72c/i8ssvj1NPPTUKCgqipKQknnnmmQ7zHnvssRg/fnzk5eXF+PHj4/HHH+/JSwAAyEiXwjFNEwBA/1NbWxsVFRWxZMmSqK+vj2nTpsWMGTOisbGx0/mbN2+Oyy+/PDZu3Bg7duyISy+9NK644oqor69Pz9m+fXvMmjUrysvL45VXXony8vK45ppr4sUXX+ytywIAOKKMwzFNEwBA/7Rq1aqYM2dO3HTTTTFu3LioqamJ4cOHx9q1azudX1NTE9/61rfi/PPPjzFjxsTtt98eY8aMiZ///Oft5lx++eVRVVUVY8eOjaqqqrjsssuipqaml64KAODIMg7HNE0AAP3P/v37Y8eOHVFWVtZuvKysLLZt23ZUaxw6dCjeeeedOOWUU9Jj27dv77Dm9OnTj3pNAICellE41peapra2tmhtbW13AADQNXv37o2DBw9GUVFRu/GioqJobm4+qjV+8IMfxHvvvRfXXHNNeqy5uTnjNfV5AEBvyigc60tNU3V1dRQWFqaP4cOHZ3AlAAB0Jicnp93rVCrVYawzGzZsiGXLlkVtbW2cdtppx7SmPg8A6E1deiB/X2iaqqqqoqWlJX3s2rUrgysAAOCjhgwZEgMHDuxwc3LPnj0dbmJ+XG1tbcyZMyceffTR+NKXvtTuZ0OHDs14TX0eANCbMgrH+lLTlJeXFwUFBe0OAAC6ZtCgQVFcXBx1dXXtxuvq6qK0tPSw523YsCG+8Y1vxMMPPxwzZ87s8POSkpIOa27atOmIa+rzAIDelJvJ5I82TVdddVV6vK6uLq688srDnrdhw4a48cYbY8OGDUdsmhYtWpQe+6SmiS54rrpn17+0qmfXBwB6VGVlZZSXl8fkyZOjpKQk1q1bF42NjTF37tyI+GBH1+7du+Ohhx6KiA96vNmzZ8ddd90VU6ZMSd/sPPHEE6OwsDAiIhYuXBgXXXRR3HHHHXHllVfGE088Ec8++2xs3bo1OxcJAPAxGYVjEZomAID+atasWbFv375YsWJFNDU1xYQJE2Ljxo0xYsSIiIhoamqKxsbG9Pwf/vCHceDAgZg/f37Mnz8/PX7DDTfE+vXrIyKitLQ0HnnkkVi6dGncdtttMXr06KitrY0LL7ywV68NAOBwMg7HNE0AAP3XvHnzYt68eZ3+7MPe7UPPP//8Ua159dVXx9VXX32MlQEA9IyMw7EITRMAAAAA/UOXwjEAAAD6h4rcn/bo+jUHbIIA+raMvq0SAAAAAPoT4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDE8m2VAADAkT1Xne0KAKDH2DkGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASKzcbBdAP/Jcdc+uf2lVz64PAAAAJI6dYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASKzcbBcAkC0jFz/Vreu9tXJmt64HAABAz7NzDAAAAIDEEo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAASFuzZk2MGjUq8vPzo7i4OLZs2XLYuU1NTXHdddfF5z//+RgwYEBUVFR0mLN+/frIycnpcLz//vs9eBUAAEevS+GYpgkAoP+pra2NioqKWLJkSdTX18e0adNixowZ0djY2On8tra2OPXUU2PJkiVxzjnnHHbdgoKCaGpqanfk5+f31GUAAGQk43BM0wQA0D+tWrUq5syZEzfddFOMGzcuampqYvjw4bF27dpO548cOTLuuuuumD17dhQWFh523ZycnBg6dGi7AwCgr8g4HNM0AQD0P/v3748dO3ZEWVlZu/GysrLYtm3bMa397rvvxogRI2LYsGHxla98Jerr6484v62tLVpbW9sdAAA9JTeTyR82TYsXL2433p1N08GDB+Pcc8+Nv/mbv4lJkyYddn5bW1u0tbWlX2uaEuC56p5d/9Kqnl0fAPqwvXv3xsGDB6OoqKjdeFFRUTQ3N3d53bFjx8b69etj4sSJ0draGnfddVdMnTo1XnnllRgzZkyn51RXV8fy5cu7/DsBADKR0c6xnm6annzyydiwYUPk5+fH1KlT44033jjsOdXV1VFYWJg+hg8f3uXfDwDAB3Jyctq9TqVSHcYyMWXKlLj++uvjnHPOiWnTpsWjjz4aZ511Vqxevfqw51RVVUVLS0v62LVrV5d/PwDAJ8lo59iHeqJpmjJlSvr11KlT47zzzovVq1fH3Xff3ek5VVVVUVlZmX7d2toqIAMA6KIhQ4bEwIEDO9zw3LNnT4cbo8diwIABcf755x/xJmheXl7k5eV12+8EADiSjHaO9bWmqaCgoN0BAEDXDBo0KIqLi6Ourq7deF1dXZSWlnbb70mlUtHQ0BCnn356t60JAHAsMgrHNE0AAP1XZWVl3H///fHAAw/Ezp07Y9GiRdHY2Bhz586NiA927s+ePbvdOQ0NDdHQ0BDvvvtu/PGPf4yGhoZ47bXX0j9fvnx5PPPMM/H73/8+GhoaYs6cOdHQ0JBeEwAg2zL+WGVlZWWUl5fH5MmTo6SkJNatW9ehadq9e3c89NBD6XMaGhoiIto1TYMGDYrx48dHxAdN05QpU2LMmDHR2toad999dzQ0NMS9997bDZcIAMDRmDVrVuzbty9WrFgRTU1NMWHChNi4cWOMGDEiIiKampqisbGx3Tkf/QKlHTt2xMMPPxwjRoyIt956KyIi/vSnP8XNN98czc3NUVhYGJMmTYrNmzfHBRdc0GvXBQBwJBmHY5omAID+a968eTFv3rxOf7Z+/foOY6lU6ojr3XnnnXHnnXd2R2kAAD2iSw/k1zQBAAAA0B90KRyDfum56k+cUpH7epeXrzlwdZfPBQAAAHpGRg/kBwAAAID+RDgGAAAAQGL5WCUAAAAcB0Yufqpb1nlr5cxuWQf6CzvHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJYH8tOv1fzi9WyXAAAAAPRhdo4BAAAAkFjCMQAAAAASSzgGAAAAQGIJxwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYudkuAAAAIMlqfvF6tksASDQ7xwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJlZvtAiApKnJ/2qPr1xy4ukfXBwAAgP7IzjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEis3GwXAHSPityf9uj6NQeu7tH1AQAAIBvsHAMAAAAgsYRjAAAAACSWcAwAAACAxOpSOLZmzZoYNWpU5OfnR3FxcWzZsuWwc5uamuK6666Lz3/+8zFgwICoqKjodN5jjz0W48ePj7y8vBg/fnw8/vjjXSkNAIBjoM8DAJIm43CstrY2KioqYsmSJVFfXx/Tpk2LGTNmRGNjY6fz29ra4tRTT40lS5bEOeec0+mc7du3x6xZs6K8vDxeeeWVKC8vj2uuuSZefPHFTMsDAKCL9HkAQBLlpFKpVCYnXHjhhXHeeefF2rVr02Pjxo2Lr371q1FdXX3Ecy+55JI499xzo6ampt34rFmzorW1NZ5++un02J//+Z/HZz7zmdiwYcNR1dXa2hqFhYXR0tISBQUFR39BmXjuyNdH31Pzi9ezXUK/4dsqP9lbK2dmuwQgQ73SPxxHEt3ncWT64B7V33tWfWTfo28lCTLpHzLaObZ///7YsWNHlJWVtRsvKyuLbdu2ZV7p/2f79u0d1pw+ffoxrQkAwNHrS31eW1tbtLa2tjsAAHpKRuHY3r174+DBg1FUVNRuvKioKJqbm7tcRHNzc8ZrapoAALpPX+rzqquro7CwMH0MHz68y78fAOCT5HblpJycnHavU6lUh7GeXrO6ujqWL19+TL8TOHoVuT/t0fVttwfoG/pCn1dVVRWVlZXp162trQIyAKDHZLRzbMiQITFw4MAOd/r27NnT4Y5gJoYOHZrxmlVVVdHS0pI+du3a1eXfDwCQdH2pz8vLy4uCgoJ2BwBAT8koHBs0aFAUFxdHXV1du/G6urooLS3tchElJSUd1ty0adMR19Q0AQB0n77U5wEA9KaMP1ZZWVkZ5eXlMXny5CgpKYl169ZFY2NjzJ07NyI+2NG1e/fueOihh9LnNDQ0RETEu+++G3/84x+joaEhBg0aFOPHj4+IiIULF8ZFF10Ud9xxR1x55ZXxxBNPxLPPPhtbt27thksEAOBo6PMAgCTKOBybNWtW7Nu3L1asWBFNTU0xYcKE2LhxY4wYMSIiIpqamqKxsbHdOZMmTUr/5x07dsTDDz8cI0aMiLfeeisiIkpLS+ORRx6JpUuXxm233RajR4+O2trauPDCC4/h0gB618jFT3XbWr5eG8gGfR4AkEQ5qVQqle0iukNra2sUFhZGS0tLz33E8rnqnlmXHlPzi9ezXQJHyQP52xOOQe/olf6BY+bfqQ/QB/eo/t6z6vP6Hr0mSZBJ/5DRM8cAAAAAoD8RjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEis3GwXAAAAQP9VkfvTHl3ft2ECx0o4BgAAx7vnqrNdAQAct3ysEgAAAIDEsnMM6BNstwcAACAb7BwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWB7IDwAA0AU1v3g92yUA0A3sHAMAAAAgsYRjAAAAACSWj1UCAABAgoxc/NQxr/HWypndUAn0DXaOAQAAAJBYwjEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILFys10AQG+oyP1pj65fc+DqHl0fAACAnmHnGAAAAACJJRwDAAAAILGEYwAAAAAklnAMAAAAgMQSjgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEis3GwXAB9X84vXs10CAAAAkBB2jgEAAACQWMIxAAAAABJLOAYAAABAYgnHAAAAAEgsD+QH6AYVuT/t3gWf++f2ry+t6t71AQAAiAg7xwAAAABIMOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxBKOAQAAAJBYudkuAICj8Fx1z65/aVXPrg8AANBH2TkGAAAAQGJ1KRxbs2ZNjBo1KvLz86O4uDi2bNlyxPkvvPBCFBcXR35+fnz2s5+N++67r93P169fHzk5OR2O999/vyvlAQDQRfo8ACBpMg7Hamtro6KiIpYsWRL19fUxbdq0mDFjRjQ2NnY6/80334wvf/nLMW3atKivr4/vfOc78dd//dfx2GOPtZtXUFAQTU1N7Y78/PyuXRUAABnT5wEASZTxM8dWrVoVc+bMiZtuuikiImpqauKZZ56JtWvXRnV1x2fi3HfffXHmmWdGTU1NRESMGzcuXn755fj+978fX//619PzcnJyYujQoV28DAAAjpU+DwBIoox2ju3fvz927NgRZWVl7cbLyspi27ZtnZ6zffv2DvOnT58eL7/8cvznf/5neuzdd9+NESNGxLBhw+IrX/lK1NfXH7GWtra2aG1tbXcAANA1+jwAIKkyCsf27t0bBw8ejKKionbjRUVF0dzc3Ok5zc3Nnc4/cOBA7N27NyIixo4dG+vXr48nn3wyNmzYEPn5+TF16tR44403DltLdXV1FBYWpo/hw4dncikAAHyEPg8ASKouPZA/Jyen3etUKtVh7JPmf3R8ypQpcf3118c555wT06ZNi0cffTTOOuusWL169WHXrKqqipaWlvSxa9eurlwKAAAfoc8DAJImo2eODRkyJAYOHNjh7uGePXs63DX80NChQzudn5ubG4MHD+70nAEDBsT5559/xDuKeXl5kZeXl0n5AAAchj4PAEiqjHaODRo0KIqLi6Ourq7deF1dXZSWlnZ6TklJSYf5mzZtismTJ8cJJ5zQ6TmpVCoaGhri9NNPz6Q8AAC6SJ8HACRVxh+rrKysjPvvvz8eeOCB2LlzZyxatCgaGxtj7ty5EfHBNvjZs2en58+dOzfefvvtqKysjJ07d8YDDzwQP/7xj+O///f/np6zfPnyeOaZZ+L3v/99NDQ0xJw5c6KhoSG9JgAAPU+fBwAkUUYfq4yImDVrVuzbty9WrFgRTU1NMWHChNi4cWOMGDEiIiKampqisbExPX/UqFGxcePGWLRoUdx7771xxhlnxN13393u673/9Kc/xc033xzNzc1RWFgYkyZNis2bN8cFF1zQDZcIAMDR0OcBAEmUk/rwqanHudbW1igsLIyWlpYoKCjomV/yXHXPrEs7Nb94PdslQNZVXHZWtkvoXpdWZbsC6FSv9A8cM/9OR0GfmhX61r6h5sDV2S4hkd5aOTPbJcARZdI/ZLxzDAAAAEi2kYuf6pZ1hGz0BRk/cwwAAAAA+gs7xwA4/vX0x4l8LBQAAPotO8cAAAAASCzhGAAAAACJ5WOVAH1Qd3/7Vb/79ksAAIBuYucYAAAAAIklHAMAAAAgsXysEgAASJzufoQBAMcv4RgAPe+56mxX0Lf19PtzaVXPrg8AAMcx4RgAAPQ0NwkAoM/yzDEAAAAAEks4BgAAAEBiCccAAAAASCzhGAAAAACJJRwDAAAAILF8WyUA9Hc9/S15l1b17PoAANCDhGMAAAActypyf9qj69ccuLpH1weyz8cqAQAAAEgs4RgAAAAAieVjlRyzml+8nu0SAHpWTz+zCwAAyBo7xwAAAABILOEYAAAAAIklHAMAAAAgsYRjAAAAACSWcAwAAACAxPJtlQDAsenpb/O8tKpn1wcAsmbk4qeOeY23Vs7shkpIMjvHAAAAAEgs4RgAAAAAiSUcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4BAAAAkFi52S4AAADgaNX84vVslwBAP2PnGAAAAACJZecYQAJ05132isvO6ra1AAAAsk04BgAAz1VnuwIAIEuEYwnlWQ0AAAAAnjkGAAAAQILZOQYAAACHUZH70x5dv+bA1T26PvDJ7BwDAAAAILHsHAMAAACOWyMXP3XMa7y1cmY3VMLxys4xAAAAABLLzjEAMtLd33ZbcdlZ3boeAABAJuwcAwAAACCx7BwDAAB6RXfvPgaA7tClcGzNmjXxd3/3d9HU1BRnn3121NTUxLRp0w47/4UXXojKysp49dVX44wzzohvfetbMXfu3HZzHnvssbjtttvid7/7XYwePTq+973vxVVXXdWV8gAA6CJ9HkDvqsj9aY+uX3Pg6h5dH/qDjMOx2traqKioiDVr1sTUqVPjhz/8YcyYMSNee+21OPPMMzvMf/PNN+PLX/5yfPOb34y///u/j1/+8pcxb968OPXUU+PrX/96RERs3749Zs2aFX/zN38TV111VTz++ONxzTXXxNatW+PCCy889qvsB9xlA/qr7vz/N88vg2OjzwMAkignlUqlMjnhwgsvjPPOOy/Wrl2bHhs3blx89atfjerq6g7zv/3tb8eTTz4ZO3fuTI/NnTs3Xnnlldi+fXtERMyaNStaW1vj6aefTs/58z//8/jMZz4TGzZsOKq6Wltbo7CwMFpaWqKgoCCTSzp6z3W8viMRaAH0LuFYP3VpVY8t3Sv9w3FEn8fh6Gvh+GXn2PHnrZUzs11Cv5BJ/5DRzrH9+/fHjh07YvHixe3Gy8rKYtu2bZ2es3379igrK2s3Nn369Pjxj38c//mf/xknnHBCbN++PRYtWtRhTk1NzWFraWtri7a2tvTrlpaWiPjg4nvMe+9nNP39tv09VAgAnVm58f/JdgmHNe/iz2W7hONXD/5t/7BvyPBeYb+kz8usz0safS0cv+bGwz26/poDX+3R9ZOoR//eJUgmfV5G4djevXvj4MGDUVRU1G68qKgompubOz2nubm50/kHDhyIvXv3xumnn37YOYdbMyKiuro6li9f3mF8+PDhR3s5ANBrqr6f7QqOZyt6/De88847UVhY2OO/py/T5wHQNT0bviVRYU22K+hfjqbP69ID+XNyctq9TqVSHcY+af7HxzNds6qqKiorK9OvDx06FP/2b/8WgwcPPuJ5XdXa2hrDhw+PXbt2+dhFFnj/s8v7n13e/+zy/mdXT7//qVQq3nnnnTjjjDO6fe3jlT7P/857m/c/u7z/2eX9zy7vf3b1pT4vo3BsyJAhMXDgwA53+vbs2dPhjuCHhg4d2un83NzcGDx48BHnHG7NiIi8vLzIy8trN/bpT3/6aC+lywoKCvyPJou8/9nl/c8u7392ef+zqyff/6TvGPuQPs//zrPN+59d3v/s8v5nl/c/u/pCnzcgk0UHDRoUxcXFUVdX1268rq4uSktLOz2npKSkw/xNmzbF5MmT44QTTjjinMOtCQBA99LnAQBJlfHHKisrK6O8vDwmT54cJSUlsW7dumhsbIy5c+dGxAfb4Hfv3h0PPfRQRHzwjUX33HNPVFZWxje/+c3Yvn17/PjHP2737UQLFy6Miy66KO6444648sor44knnohnn302tm7d2k2XCQDAJ9HnAQBJlHE4NmvWrNi3b1+sWLEimpqaYsKECbFx48YYMWJEREQ0NTVFY2Njev6oUaNi48aNsWjRorj33nvjjDPOiLvvvju+/vWvp+eUlpbGI488EkuXLo3bbrstRo8eHbW1tXHhhRd2wyV2j7y8vPjud7/bYYs/vcP7n13e/+zy/meX9z+7vP+9S5/nv2fZ4P3PLu9/dnn/s8v7n1196f3PSfnucgAAAAASKqNnjgEAAABAfyIcAwAAACCxhGMAAAAAJJZwDAAAAIDEEo4dhTVr1sSoUaMiPz8/iouLY8uWLdkuKRGqq6vj/PPPj5NPPjlOO+20+OpXvxq//e1vs11WYlVXV0dOTk5UVFRku5RE2b17d1x//fUxePDg+NSnPhXnnntu7NixI9tlJcKBAwdi6dKlMWrUqDjxxBPjs5/9bKxYsSIOHTqU7dL6pc2bN8cVV1wRZ5xxRuTk5MQ//MM/tPt5KpWKZcuWxRlnnBEnnnhiXHLJJfHqq69mp1j6FX1edujz+hZ9Xnbo87JHn9e7joc+Tzj2CWpra6OioiKWLFkS9fX1MW3atJgxY0a7rzGnZ7zwwgsxf/78+NWvfhV1dXVx4MCBKCsri/feey/bpSXOSy+9FOvWrYsvfOEL2S4lUf7v//2/MXXq1DjhhBPi6aefjtdeey1+8IMfxKc//elsl5YId9xxR9x3331xzz33xM6dO+Nv//Zv4+/+7u9i9erV2S6tX3rvvffinHPOiXvuuafTn//t3/5trFq1Ku6555546aWXYujQoXH55ZfHO++808uV0p/o87JHn9d36POyQ5+XXfq83nVc9HkpjuiCCy5IzZ07t93Y2LFjU4sXL85SRcm1Z8+eVESkXnjhhWyXkijvvPNOasyYMam6urrUxRdfnFq4cGG2S0qMb3/726kvfvGL2S4jsWbOnJm68cYb24197WtfS11//fVZqig5IiL1+OOPp18fOnQoNXTo0NTKlSvTY++//36qsLAwdd9992WhQvoLfV7foc/LDn1e9ujzskuflz19tc+zc+wI9u/fHzt27IiysrJ242VlZbFt27YsVZVcLS0tERFxyimnZLmSZJk/f37MnDkzvvSlL2W7lMR58sknY/LkyfEXf/EXcdppp8WkSZPiRz/6UbbLSowvfvGL8Ytf/CJef/31iIh45ZVXYuvWrfHlL385y5Ulz5tvvhnNzc3t/h7n5eXFxRdf7O8xXabP61v0edmhz8sefV526fP6jr7S5+X22m86Du3duzcOHjwYRUVF7caLioqiubk5S1UlUyqVisrKyvjiF78YEyZMyHY5ifHII4/EP/3TP8VLL72U7VIS6fe//32sXbs2Kisr4zvf+U78+te/jr/+67+OvLy8mD17drbL6/e+/e1vR0tLS4wdOzYGDhwYBw8ejO9973tx7bXXZru0xPnwb25nf4/ffvvtbJREP6DP6zv0edmhz8sufV526fP6jr7S5wnHjkJOTk6716lUqsMYPWvBggXxz//8z7F169Zsl5IYu3btioULF8amTZsiPz8/2+Uk0qFDh2Ly5Mlx++23R0TEpEmT4tVXX421a9dqmnpBbW1t/P3f/308/PDDcfbZZ0dDQ0NUVFTEGWecETfccEO2y0skf4/pCf57lX36vN6nz8s+fV526fP6nmz/PRaOHcGQIUNi4MCBHe4e7tmzp0OqSc+59dZb48knn4zNmzfHsGHDsl1OYuzYsSP27NkTxcXF6bGDBw/G5s2b45577om2trYYOHBgFivs/04//fQYP358u7Fx48bFY489lqWKkuV//I//EYsXL47/+l//a0RETJw4Md5+++2orq7WNPWyoUOHRsQHdxZPP/309Li/xxwLfV7foM/LDn1e9unzskuf13f0lT7PM8eOYNCgQVFcXBx1dXXtxuvq6qK0tDRLVSVHKpWKBQsWxM9+9rP4x3/8xxg1alS2S0qUyy67LH7zm99EQ0ND+pg8eXL85V/+ZTQ0NGiYesHUqVM7fK3966+/HiNGjMhSRcny7//+7zFgQPs/kwMHDvQV31kwatSoGDp0aLu/x/v3748XXnjB32O6TJ+XXfq87NLnZZ8+L7v0eX1HX+nz7Bz7BJWVlVFeXh6TJ0+OkpKSWLduXTQ2NsbcuXOzXVq/N3/+/Hj44YfjiSeeiJNPPjl9Z7ewsDBOPPHELFfX/5188skdnvtx0kknxeDBgz0PpJcsWrQoSktL4/bbb49rrrkmfv3rX8e6deti3bp12S4tEa644or43ve+F2eeeWacffbZUV9fH6tWrYobb7wx26X1S++++278n//zf9Kv33zzzWhoaIhTTjklzjzzzKioqIjbb789xowZE2PGjInbb789PvWpT8V1112Xxao53unzskefl136vOzT52WXPq93HRd9Xq99L+Zx7N57702NGDEiNWjQoNR5553nK6Z7SUR0ejz44IPZLi2xfMV37/v5z3+emjBhQiovLy81duzY1Lp167JdUmK0tramFi5cmDrzzDNT+fn5qc9+9rOpJUuWpNra2rJdWr/03HPPdfr/+TfccEMqlfrga76/+93vpoYOHZrKy8tLXXTRRanf/OY32S2afkGflx36vL5Hn9f79Hn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    " ] @@ -1069,10 +1069,10 @@ "start_time": "2023-11-09T18:41:44.614171146Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.039157Z", - "iopub.status.busy": "2023-11-28T11:33:40.038854Z", - "iopub.status.idle": "2023-11-28T11:33:40.255865Z", - "shell.execute_reply": "2023-11-28T11:33:40.255332Z" + "iopub.execute_input": "2023-12-04T17:59:53.155841Z", + "iopub.status.busy": "2023-12-04T17:59:53.155599Z", + "iopub.status.idle": "2023-12-04T17:59:53.610234Z", + "shell.execute_reply": "2023-12-04T17:59:53.609687Z" } }, "outputs": [ @@ -1088,7 +1088,7 @@ }, { "data": { - "image/png": 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", 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", 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    " ] @@ -1135,17 +1135,17 @@ "start_time": "2023-11-09T18:41:44.945907133Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.257999Z", - "iopub.status.busy": "2023-11-28T11:33:40.257684Z", - "iopub.status.idle": "2023-11-28T11:33:40.431221Z", - "shell.execute_reply": "2023-11-28T11:33:40.430701Z" + "iopub.execute_input": "2023-12-04T17:59:53.612414Z", + "iopub.status.busy": "2023-12-04T17:59:53.611956Z", + "iopub.status.idle": "2023-12-04T17:59:53.762344Z", + "shell.execute_reply": "2023-12-04T17:59:53.761817Z" } }, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 24, @@ -1154,7 +1154,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
    " ] @@ -1192,10 +1192,10 @@ "start_time": "2023-11-09T18:41:45.185498912Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.433063Z", - "iopub.status.busy": "2023-11-28T11:33:40.432900Z", - "iopub.status.idle": "2023-11-28T11:33:40.439464Z", - "shell.execute_reply": "2023-11-28T11:33:40.439054Z" + "iopub.execute_input": "2023-12-04T17:59:53.764499Z", + "iopub.status.busy": "2023-12-04T17:59:53.764169Z", + "iopub.status.idle": "2023-12-04T17:59:53.770905Z", + "shell.execute_reply": "2023-12-04T17:59:53.770500Z" } }, "outputs": [], @@ -1215,10 +1215,10 @@ "start_time": "2023-11-09T18:41:45.195431060Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.441075Z", - "iopub.status.busy": "2023-11-28T11:33:40.440921Z", - "iopub.status.idle": "2023-11-28T11:33:40.655782Z", - "shell.execute_reply": "2023-11-28T11:33:40.655269Z" + "iopub.execute_input": "2023-12-04T17:59:53.772795Z", + "iopub.status.busy": "2023-12-04T17:59:53.772482Z", + "iopub.status.idle": "2023-12-04T17:59:53.967546Z", + "shell.execute_reply": "2023-12-04T17:59:53.967004Z" } }, "outputs": [ @@ -1226,7 +1226,7 @@ "data": { "text/plain": [ "((0.0, 10.0),\n", - " ,\n", + " ,\n", " Text(0.5, 0, 'mass'))" ] }, @@ -1236,7 +1236,7 @@ }, { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -1269,10 +1269,10 @@ "start_time": "2023-11-09T18:41:45.536975210Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.657821Z", - "iopub.status.busy": "2023-11-28T11:33:40.657501Z", - "iopub.status.idle": "2023-11-28T11:33:40.740025Z", - "shell.execute_reply": "2023-11-28T11:33:40.739460Z" + "iopub.execute_input": "2023-12-04T17:59:53.969464Z", + "iopub.status.busy": "2023-12-04T17:59:53.969293Z", + "iopub.status.idle": "2023-12-04T17:59:54.050520Z", + "shell.execute_reply": "2023-12-04T17:59:54.049994Z" } }, "outputs": [], @@ -1298,16 +1298,16 @@ "start_time": "2023-11-09T18:41:45.649725765Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.743165Z", - "iopub.status.busy": "2023-11-28T11:33:40.742247Z", - "iopub.status.idle": "2023-11-28T11:33:40.954916Z", - "shell.execute_reply": "2023-11-28T11:33:40.954396Z" + "iopub.execute_input": "2023-12-04T17:59:54.053513Z", + "iopub.status.busy": "2023-12-04T17:59:54.052746Z", + "iopub.status.idle": "2023-12-04T17:59:54.238423Z", + "shell.execute_reply": "2023-12-04T17:59:54.237871Z" } }, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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    " ] @@ -1340,16 +1340,16 @@ "start_time": "2023-11-09T18:41:46.023629125Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:40.956847Z", - "iopub.status.busy": "2023-11-28T11:33:40.956683Z", - "iopub.status.idle": "2023-11-28T11:33:41.319095Z", - "shell.execute_reply": "2023-11-28T11:33:41.318588Z" + "iopub.execute_input": "2023-12-04T17:59:54.240617Z", + "iopub.status.busy": "2023-12-04T17:59:54.240209Z", + "iopub.status.idle": "2023-12-04T17:59:54.586374Z", + "shell.execute_reply": "2023-12-04T17:59:54.585821Z" } }, "outputs": [ { "data": { - "image/png": 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", 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", 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    " ] @@ -1393,17 +1393,17 @@ "start_time": "2023-11-09T18:41:46.636425810Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:41.321193Z", - "iopub.status.busy": "2023-11-28T11:33:41.320811Z", - "iopub.status.idle": "2023-11-28T11:33:41.324873Z", - "shell.execute_reply": "2023-11-28T11:33:41.324489Z" + "iopub.execute_input": "2023-12-04T17:59:54.588587Z", + "iopub.status.busy": "2023-12-04T17:59:54.588174Z", + "iopub.status.idle": "2023-12-04T17:59:54.592390Z", + "shell.execute_reply": "2023-12-04T17:59:54.591995Z" } }, "outputs": [ { "data": { "text/plain": [ - "-0.3427804026275555" + "-0.3341968872732588" ] }, "execution_count": 30, @@ -1431,10 +1431,10 @@ "start_time": "2023-11-09T18:41:46.644686446Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:41.326917Z", - "iopub.status.busy": "2023-11-28T11:33:41.326456Z", - "iopub.status.idle": "2023-11-28T11:33:41.331709Z", - "shell.execute_reply": "2023-11-28T11:33:41.331303Z" + "iopub.execute_input": "2023-12-04T17:59:54.594271Z", + "iopub.status.busy": "2023-12-04T17:59:54.593965Z", + "iopub.status.idle": "2023-12-04T17:59:54.599398Z", + "shell.execute_reply": "2023-12-04T17:59:54.598976Z" } }, "outputs": [ @@ -1442,7 +1442,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "0.006941041584924261" + "0.0008158585205216673" ] }, { @@ -1456,7 +1456,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.0017748083282814761" + "0.0036852275555464588" ] }, { @@ -1488,16 +1488,16 @@ "start_time": "2023-11-09T18:41:46.669469133Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:41.333477Z", - "iopub.status.busy": "2023-11-28T11:33:41.333183Z", - "iopub.status.idle": "2023-11-28T11:33:41.528699Z", - "shell.execute_reply": "2023-11-28T11:33:41.528194Z" + "iopub.execute_input": "2023-12-04T17:59:54.601381Z", + "iopub.status.busy": "2023-12-04T17:59:54.600986Z", + "iopub.status.idle": "2023-12-04T17:59:54.812042Z", + "shell.execute_reply": "2023-12-04T17:59:54.811510Z" } }, "outputs": [ { "data": { - "image/png": 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rl5566int2bNHa9as0YABA9SuXTsFBgZKkjw9PbVs2TIFBATowIED6tu3rzw9PTV27FhJ0t/+9jeFhYVpwYIFcnJyUmJiou2Q2ODBg5WZmalt27bJ3d1dhw8floeHx/2/MQDwCOU7zGzbtk3//Oc/tX//fqWkpGjdunU5fovu2bOnli9fnmOfJk2aaPfu3bbnGRkZGjNmjD7++GNdu3ZNbdq00fz581WlShXbmIsXL2rYsGH6/PPPJUnPPvus5s6d+8A/7Iqz4OBgTZ8+3fb8zTff1BNPPKFp06bZtn344YcKDAzUsWPH5O/vrzlz5mjevHmKjo6WJD322GNq0aKFJGnVqlW6du2aVqxYIXd3d0nSvHnz1LlzZ73zzjvy9fWVJFWoUEHz5s2Tk5OTateurY4dO+qbb75R3759lZycLHd3d3Xq1Emenp6qVq2awsLCJEleXl5ydnaWm5ub/Pz8cs1n8uTJtg7Tg7h8+fI951OpUiVJkre3d47P+8c//qEZM2aoa9eukm52cA4fPqyFCxcqOjpaq1atUlZWlj788EO5ubmpXr16+umnnzRw4MC71nKved/pxx9/1KZNm7Rv3z6Fh4dLkj744AOFhITcd84VK1bUe++9p1KlSqlWrVqaPn26fv/9d73xxhuSboa7t99+Wzt27FD37t0lSX//+99t+1evXl2jR4/WmjVrbGEmOTlZr732mmrXri1JOepITk7WX//6V4WGhkqSatSocd8aAeBRy/dhpqtXr6pBgwaaN2/eXcc888wzSklJsT3ubE+PGDFC69at0+rVq/Xdd9/pypUr6tSpk7KysmxjevToocTERK1fv17r169XYmKioqKi8lt2sXLrB+Et+/fv15YtW+Th4WF73PoBdfLkSR05ckQZGRlq06ZNnu935MgRNWjQwBZkJKl58+bKzs7W0aNHbdvq1asnJycn23N/f39bV6Fdu3aqVq2aatSooaioKK1atUq///57vuZzP/ebT15+/fVXnT17Vr17987xdZoyZYpOnjxpe98GDRrIzc3Ntl9ERMQ93/dh5n306FGVLl1aTzzxhG1bcHCwKlSocN/669Wrp1Kl/v9/tr6+vragIUlOTk7y9vbO0eX59NNP1aJFC/n5+cnDw0MTJkxQcnKy7fVRo0apT58+atu2rd5++23b10GShg0bpilTpqh58+Z666239MMPP9y3RgB41PIdZiIjIzVlyhTbb7d5cXFxkZ+fn+1x+yLItLQ0LVmyRDNmzFDbtm0VFhamlStX6sCBA9q0aZOkmz9U1q9frw8++EARERGKiIjQ4sWL9cUXX+T44XqnjIwMpaen53gUR7eHDunm+pHOnTsrMTExx+P48eN66qmn5Orqes/3s1qtslgseb52+/Y7z8qxWCzKzs6WdPOQxvfff6+PP/5Y/v7+evPNN9WgQQNdunTpoedTqlQpWa3WHNtuX+txv/nk5VadixcvzvE1OnjwoK1reOdnPoiHmffd3v9BPjevr/29vh+7d+9W9+7dFRkZqS+++EIJCQkaP368MjMzbeMnTpyoQ4cOqWPHjtq8ebPq1q2rdevWSZL69OmjU6dOKSoqSgcOHFB4eLjmzp173zoB4FEq1AXAW7duVeXKlVWzZk317ds3x2+L+/fv1/Xr19W+fXvbtoCAANWvX187d+6UJO3atUteXl5q0qSJbUzTpk3l5eVlG5OX2NhYeXl52R631g4Ud0888YQOHTqk6tWrKzg4OMfD3d1dISEhcnV11TfffJPn/nXr1lViYqKuXr1q27Zjxw6VKlVKNWvWfOA6SpcurbZt22r69On64YcfdPr0aduaHWdn5xydt3upVKmSUlJScmy7/Tov95vPrTUyt3+er6+v/vSnP+nUqVO5vka3FgzXrVtX//3vf3Xt2jXbfrcfHs3PvG9Xu3Zt3bhxI8ei4hMnTjxQ4HtYO3bsULVq1TR+/HiFh4crJCREZ86cyTWuZs2aGjlypDZu3KiuXbtq6dKlttcCAwM1YMAArV27VqNHj9bixYvtXicAFEShhZnIyEitWrVKmzdv1owZM7Rv3z49/fTTysjIkCSlpqbK2dk5V2vd19dXqamptjGVK1fO9d6VK1e2jclLTEyM0tLSbI+zZ8/acWZF1+DBg3XhwgW9/PLL2rt3r06dOqWNGzeqV69eysrKUtmyZTVu3DiNHTtWK1as0MmTJ7V7924tWbJE0s2FoGXLllV0dLQOHjyoLVu2aOjQoYqKirKtl7mfL774Qu+9954SExN15swZrVixQtnZ2apVq5akm2s29uzZo9OnT+u3336zdRDy8vTTTys+Pl4rVqzQ8ePH9dZbb+ngwYO21+83n8qVK8vV1VXr16/XL7/8orS0NEk3OxGxsbG2BckHDhzQ0qVLNXPmTEk3D22WKlVKvXv31uHDh/XVV1/p3XffLdC8b1e7dm21bdtW/fr10969e5WQkKB+/frJ1dX1rp2x/AoODlZycrJWr16tkydP6r333rN1XSTp2rVrGjJkiLZu3aozZ85ox44d2rdvn+rUqSPp5qHgDRs2KCkpSd9//702b95sew0AiopCCzMvvfSSOnbsqPr166tz5876+uuvdezYMX355Zf33O/OQx15/ed+r8Mh0s3DW+XKlcvxKAkCAgK0Y8cOZWVlqUOHDqpfv76GDx8uLy8v2zqLCRMmaPTo0XrzzTdVp04dvfTSS7aOmZubmzZs2KALFy6ocePGeuGFF9SmTZt7rou6U/ny5bV27Vo9/fTTqlOnjt5//319/PHHqlevniRpzJgxcnJyUt26dVWpUqUcazfu1KFDB02YMEFjx45V48aNdfnyZb3yyis5xtxrPqVLl9Z7772nhQsXKiAgQF26dJF089DJBx98oGXLlik0NFQtW7bUsmXLbJ0ZDw8P/ec//9Hhw4cVFham8ePH65133inQvO+0YsUK+fr66qmnntLzzz9vO8OobNmyD/aFfkBdunTRyJEjNWTIEDVs2FA7d+7UhAkTbK87OTnp/PnzeuWVV1SzZk1169ZNkZGRmjRpkqSbXa3BgwerTp06euaZZ1SrVq1cp7EDgKNZrPlZIHDnm1gsuc5myktISIj69OmjcePGafPmzWrTpo0uXLiQozvToEEDPffcc5o0aZI+/PBDjRo1Klf7vXz58po1a5ZeffXVB6ovPT1dXl5eSktLyxVs/vjjDyUlJSkoKMjuP0iAB/XTTz8pMDBQmzZteqgFzUUJ/5YekqPuml1CrjaO4uFeP79v98gumnf+/HmdPXtW/v7+kqRGjRqpTJkyiouLs41JSUnRwYMH1axZM0k3zyBJS0vT3r17bWP27NmjtLQ02xjARJs3b9bnn3+upKQk7dy5U927d1f16tX11FNPObo0ADBOvq8zc+XKFZ04ccL2PCkpSYmJiapYsaIqVqyoiRMn6q9//av8/f11+vRpvfHGG/Lx8dHzzz8v6eY1R3r37q3Ro0fL29tbFStW1JgxYxQaGqq2bdtKkq213bdvXy1cuFCS1K9fP3Xq1CnPtQiAKa5fv6433nhDp06dkqenp5o1a6ZVq1Zx/yYAyId8h5n4+Hi1bt3a9nzUqFGSpOjoaC1YsEAHDhzQihUrdOnSJfn7+6t169Zas2aNPD09bfvMmjVLpUuXVrdu3WwXzVu2bFmOa5isWrVKw4YNs5319Oyzzz7UGg6gKOrQoYM6dOjg6DIAoFiwy5qZoo41M0Dh49/SQ2LNDHBfRW7NTFFXAjIdUKj4NwTAUUp8mLm1RuFBL7kPIG+3rip8+2FiAHgUSvxds52cnFS+fPkc11qx94XLgOIuOztbv/76q9zc3FS6dIn/bwXAI8b/OpLtjsq3324BwMMpVaqUqlatyi8DRV1B1uqw3gZFFGFGNy/65+/vr8qVK+e4kSGAB+fs7Jzjjt4lgqMW8QLIgTBzGycnJ473AwBgmBL2axQAAChuCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjlXZ0AQDgUFtiHV0BgAKiMwMAAIxGmAEAAEbjMBMA4MEU5JBc6xj71QHcgc4MAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgtNKOLgAA8HB2nTqf730janjbsRKgaKAzAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNE7NBgAHKMjp1QByojMDAACMRpgBAABGI8wAAACj5TvMbNu2TZ07d1ZAQIAsFos+++yzHK9brVZNnDhRAQEBcnV1VatWrXTo0KEcYzIyMjR06FD5+PjI3d1dzz77rH766accYy5evKioqCh5eXnJy8tLUVFRunTpUn7LBgAAxUy+w8zVq1fVoEEDzZs3L8/Xp0+frpkzZ2revHnat2+f/Pz81K5dO12+fNk2ZsSIEVq3bp1Wr16t7777TleuXFGnTp2UlZVlG9OjRw8lJiZq/fr1Wr9+vRITExUVFZXfsgEAQDGT77OZIiMjFRkZmedrVqtVs2fP1vjx49W1a1dJ0vLly+Xr66uPPvpI/fv3V1pampYsWaJ//etfatu2rSRp5cqVCgwM1KZNm9ShQwcdOXJE69ev1+7du9WkSRNJ0uLFixUREaGjR4+qVq1aeX5+RkaGMjIybM/T09PzO00AAFDEFcqamaSkJKWmpqp9+/a2bS4uLmrZsqV27twpSdq/f7+uX7+eY0xAQIDq169vG7Nr1y55eXnZgowkNW3aVF5eXrYxeYmNjbUdlvLy8lJgYKC9pwgAAIqIQgkzqampkiRfX98c2319fW2vpaamytnZWRUqVLjnmMqVK+d6/8qVK9vG5CUmJkZpaWm2x9mzZws0HwAAUHQV6kXzLBZLjudWqzXXtjvdOSav8fd7HxcXF7m4uDxktQCMtSXW0RUAcKBC6cz4+flJUq7uyblz52zdGj8/P2VmZurixYv3HPPLL7/kev9ff/01V9cHAACUTIXSmQkKCpKfn5/i4uIUFhYmScrMzNS3336rd955R5LUqFEjlSlTRnFxcerWrZskKSUlRQcPHtT06dMlSREREUpLS9PevXv15JNPSpL27NmjtLQ0NWvWrDBKBwAUhoJ0z1rH2K8OFEv5DjNXrlzRiRMnbM+TkpKUmJioihUrqmrVqhoxYoSmTZumkJAQhYSEaNq0aXJzc1OPHj0kSV5eXurdu7dGjx4tb29vVaxYUWPGjFFoaKjt7KY6deromWeeUd++fbVw4UJJUr9+/dSpU6e7nskEALi7gtwTKqKGtx0rAewn32EmPj5erVu3tj0fNWqUJCk6OlrLli3T2LFjde3aNQ0aNEgXL15UkyZNtHHjRnl6etr2mTVrlkqXLq1u3brp2rVratOmjZYtWyYnJyfbmFWrVmnYsGG2s56effbZu17bBgAAlDwWq9VqdXQRhS09PV1eXl5KS0tTuXLlHF0OAHszcAGwiXfNdlhnhsNMJdaD/vzm3kwAAMBohBkAAGC0Qr3ODAAUZyYeKgKKIzozAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBoXAEYQInGVXwB89GZAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGqdmAwAeSEFOY4+o4W3HSoCc6MwAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBp3zQZQNGyJdXQFAAxFZwYAABiNMAMAAIxGmAEAAEZjzQwA4+06dd7RJQBwIDozAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBoXAEYAFDoCnKV5ojWdiwExRKdGQAAYDTCDAAAMBqHmQAARduW2Pzv2zrGfnWgyKIzAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNE7NBlAkFOQKsQBKNjozAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADBaoYaZiRMnymKx5Hj4+fnZXrdarZo4caICAgLk6uqqVq1a6dChQzneIyMjQ0OHDpWPj4/c3d317LPP6qeffirMsgEAgEEKvTNTr149paSk2B4HDhywvTZ9+nTNnDlT8+bN0759++Tn56d27drp8uXLtjEjRozQunXrtHr1an333Xe6cuWKOnXqpKysrMIuHQAAGKDQ75pdunTpHN2YW6xWq2bPnq3x48era9eukqTly5fL19dXH330kfr376+0tDQtWbJE//rXv9S2bVtJ0sqVKxUYGKhNmzapQ4cOeX5mRkaGMjIybM/T09MLYWYAAKAoKPTOzPHjxxUQEKCgoCB1795dp06dkiQlJSUpNTVV7du3t411cXFRy5YttXPnTknS/v37df369RxjAgICVL9+fduYvMTGxsrLy8v2CAwMLKTZAQAARyvUMNOkSROtWLFCGzZs0OLFi5WamqpmzZrp/PnzSk1NlST5+vrm2MfX19f2WmpqqpydnVWhQoW7jslLTEyM0tLSbI+zZ8/aeWYAAKCoKNTDTJGRkbY/h4aGKiIiQo899piWL1+upk2bSpIsFkuOfaxWa65td7rfGBcXF7m4uBSgcgAAYIpHemq2u7u7QkNDdfz4cds6mjs7LOfOnbN1a/z8/JSZmamLFy/edQwAACjZHmmYycjI0JEjR+Tv76+goCD5+fkpLi7O9npmZqa+/fZbNWvWTJLUqFEjlSlTJseYlJQUHTx40DYGAACUbIV6mGnMmDHq3LmzqlatqnPnzmnKlClKT09XdHS0LBaLRowYoWnTpikkJEQhISGaNm2a3Nzc1KNHD0mSl5eXevfurdGjR8vb21sVK1bUmDFjFBoaaju7CQAAlGyFGmZ++uknvfzyy/rtt99UqVIlNW3aVLt371a1atUkSWPHjtW1a9c0aNAgXbx4UU2aNNHGjRvl6elpe49Zs2apdOnS6tatm65du6Y2bdpo2bJlcnJyKszSAQCAISxWq9Xq6CIKW3p6ury8vJSWlqZy5co5uhwAedi1ZIyjS0AxFNH7XUeXgAJ40J/fhX7RPAAAHGZLbP73bR1jvzpQqLjRJAAAMBphBgAAGI0wAwAAjMaaGQD2U5D1CQCQT3RmAACA0QgzAADAaIQZAABgNMIMAAAwGguAAdjNrlPnHV0CgBKIzgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDQumgcAKLYKciHHiNZ2LASFis4MAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEbjRpMAAORlS2z+920dY786cF90ZgAAgNHozADIYVbcsXzv29SOdQDAg6IzAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNE7NBgAgD7tOnc/3vhGt7VgI7ovODAAAMBqdGQA5NE1e5OgSAOCh0JkBAABGI8wAAACjEWYAAIDRWDMDFEPcLBJASUJnBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0TibCQAAOyvIGYUj29W0YyUlA50ZAABgNDozAADYWcHucfau3eooKejMAAAAoxFmAACA0QgzAADAaKyZAYqogpwNAQAlCZ0ZAABgNMIMAAAwGmEGAAAYjTUzAAAUIVw9+OHRmQEAAEYjzAAAAKNxmAkoRJxeDQCFj84MAAAwGmEGAAAYjcNMwH1wqAjAo1SQO27PiuuX731NPhPKmM7M/PnzFRQUpLJly6pRo0bavn27o0sCAABFgBGdmTVr1mjEiBGaP3++mjdvroULFyoyMlKHDx9W1apVHV0eDFDSuisF+c0OQMlk8vVtjOjMzJw5U71791afPn1Up04dzZ49W4GBgVqwYEGe4zMyMpSenp7jAQAAiqci35nJzMzU/v379frrr+fY3r59e+3cuTPPfWJjYzVp0qRHUZ65tsQ6uoJHamSR/5tuZ73fdXQFABwgwmH/t8c46HNvKvKdmd9++01ZWVny9fXNsd3X11epqal57hMTE6O0tDTb4+zZs4+iVAAA4ADG/L5qsVhyPLdarbm23eLi4iIXF5dHURYAAHCwIt+Z8fHxkZOTU64uzLlz53J1awAAQMlT5Dszzs7OatSokeLi4vT888/btsfFxalLly4OrAwAgCKmdQHWrhi8lrLIhxlJGjVqlKKiohQeHq6IiAgtWrRIycnJGjBggKNLAwAADmZEmHnppZd0/vx5TZ48WSkpKapfv76++uorVatWzdGlAQAABzMizEjSoEGDNGjQIEeXAQAAipgivwAYAADgXozpzAAAgEJUkMXDDkZnBgAAGI0wAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGhfNK6lK6J1VAQDFD50ZAABgNDozQFFl8KXFAeBRojMDAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNG40SRQmLhZJAAUOjozAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNG00C98PNIgGgSKMzAwAAjEaYAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjYvmoWTgwncAUGwRZmAOAgkAIA8cZgIAAEYjzAAAAKMRZgAAgNEIMwAAwGiEGQAAYDTCDAAAMBphBgAAGI0wAwAAjEaYAQAARuMKwHi0uIovAMDO6MwAAACjEWYAAIDRCDMAAMBohBkAAGA0FgDj4bGIFwBQhNCZAQAARiPMAAAAoxFmAACA0QgzAADAaIQZAABgtEINM9WrV5fFYsnxeP3113OMSU5OVufOneXu7i4fHx8NGzZMmZmZOcYcOHBALVu2lKurq/70pz9p8uTJslqthVk6AAAwRKGfmj158mT17dvX9tzDw8P256ysLHXs2FGVKlXSd999p/Pnzys6OlpWq1Vz586VJKWnp6tdu3Zq3bq19u3bp2PHjqlnz55yd3fX6NGjC7t8AABQxBV6mPH09JSfn1+er23cuFGHDx/W2bNnFRAQIEmaMWOGevbsqalTp6pcuXJatWqV/vjjDy1btkwuLi6qX7++jh07ppkzZ2rUqFGyWCyFPQUAAFCEFfqamXfeeUfe3t5q2LChpk6dmuMQ0q5du1S/fn1bkJGkDh06KCMjQ/v377eNadmypVxcXHKM+fnnn3X69Ok8PzMjI0Pp6ek5HgAAoHgq1M7M8OHD9cQTT6hChQrau3evYmJilJSUpA8++ECSlJqaKl9f3xz7VKhQQc7OzkpNTbWNqV69eo4xt/ZJTU1VUFBQrs+NjY3VpEmTCmFGAACgqHnozszEiRNzLeq98xEfHy9JGjlypFq2bKnHH39cffr00fvvv68lS5bo/PnztvfL6zCR1WrNsf3OMbcW/97tEFNMTIzS0tJsj7Nnzz7sNAEAgCEeujMzZMgQde/e/Z5j7uyk3NK0aVNJ0okTJ+Tt7S0/Pz/t2bMnx5iLFy/q+vXrtu6Ln5+frUtzy7lz5yQpV1fnFhcXlxyHpQAAQPH10GHGx8dHPj4++fqwhIQESZK/v78kKSIiQlOnTlVKSopt28aNG+Xi4qJGjRrZxrzxxhvKzMyUs7OzbUxAQMBdQxMAACg5Cm0B8K5duzRr1iwlJiYqKSlJn3zyifr3769nn31WVatWlSS1b99edevWVVRUlBISEvTNN99ozJgx6tu3r8qVKydJ6tGjh1xcXNSzZ08dPHhQ69at07Rp0ziTCQAASCrEBcAuLi5as2aNJk2apIyMDFWrVk19+/bV2LFjbWOcnJz05ZdfatCgQWrevLlcXV3Vo0cPvfvuu7YxXl5eiouL0+DBgxUeHq4KFSpo1KhRGjVqVGGVDgAADGKxloBL6aalpal8+fI6e/asreMDAACKtvT0dAUGBurSpUvy8vK667hCv2heUXD58mVJUmBgoIMrAQAAD+vy5cv3DDMlojOTnZ2tn3/+WZ6ennZfZ3MrNRbXrg/zM19xnyPzM19xnyPzyz+r1arLly8rICBApUrdfZlviejMlCpVSlWqVCnUzyhXrlyx/Et6C/MzX3GfI/MzX3GfI/PLn3t1ZG4p9NsZAAAAFCbCDAAAMBphpoBcXFz01ltvFdsrDjM/8xX3OTI/8xX3OTK/wlciFgADAIDii84MAAAwGmEGAAAYjTADAACMRpgBAABGI8zY0dSpU9WsWTO5ubmpfPnyji6nwObPn6+goCCVLVtWjRo10vbt2x1dkt1s27ZNnTt3VkBAgCwWiz777DNHl2RXsbGxaty4sTw9PVW5cmU999xzOnr0qKPLsqsFCxbo8ccft12oKyIiQl9//bWjyyo0sbGxslgsGjFihKNLsYuJEyfKYrHkePj5+Tm6LLv7f//v/+l//ud/5O3tLTc3NzVs2FD79+93dFl2Ub169VzfQ4vFosGDBz/yWggzdpSZmakXX3xRAwcOdHQpBbZmzRqNGDFC48ePV0JCgv785z8rMjJSycnJji7NLq5evaoGDRpo3rx5ji6lUHz77bcaPHiwdu/erbi4ON24cUPt27fX1atXHV2a3VSpUkVvv/224uPjFR8fr6efflpdunTRoUOHHF2a3e3bt0+LFi3S448/7uhS7KpevXpKSUmxPQ4cOODokuzq4sWLat68ucqUKaOvv/5ahw8f1owZM4rFL7vSzb+Xt3//4uLiJEkvvvjioy/GCrtbunSp1cvLy9FlFMiTTz5pHTBgQI5ttWvXtr7++usOqqjwSLKuW7fO0WUUqnPnzlklWb/99ltHl1KoKlSoYP3ggw8cXYZdXb582RoSEmKNi4uztmzZ0jp8+HBHl2QXb731lrVBgwaOLqNQjRs3ztqiRQtHl/HIDB8+3PrYY49Zs7OzH/ln05lBLpmZmdq/f7/at2+fY3v79u21c+dOB1WFgkhLS5MkVaxY0cGVFI6srCytXr1aV69eVUREhKPLsavBgwerY8eOatu2raNLsbvjx48rICBAQUFB6t69u06dOuXokuzq888/V3h4uF588UVVrlxZYWFhWrx4saPLKhSZmZlauXKlevXqZfcbOj8Iwgxy+e2335SVlSVfX98c2319fZWamuqgqpBfVqtVo0aNUosWLVS/fn1Hl2NXBw4ckIeHh1xcXDRgwACtW7dOdevWdXRZdrN69Wp9//33io2NdXQpdtekSROtWLFCGzZs0OLFi5WamqpmzZrp/Pnzji7Nbk6dOqUFCxYoJCREGzZs0IABAzRs2DCtWLHC0aXZ3WeffaZLly6pZ8+eDvl8wsx95LVI7c5HfHy8o8ssFHema6vV6pDEjYIZMmSIfvjhB3388ceOLsXuatWqpcTERO3evVsDBw5UdHS0Dh8+7Oiy7OLs2bMaPny4Vq5cqbJlyzq6HLuLjIzUX//6V4WGhqpt27b68ssvJUnLly93cGX2k52drSeeeELTpk1TWFiY+vfvr759+2rBggWOLs3ulixZosjISAUEBDjk80s75FMNMmTIEHXv3v2eY6pXr/5oinlEfHx85OTklKsLc+7cuVzdGhRtQ4cO1eeff65t27apSpUqji7H7pydnRUcHCxJCg8P1759+zRnzhwtXLjQwZUV3P79+3Xu3Dk1atTIti0rK0vbtm3TvHnzlJGRIScnJwdWaF/u7u4KDQ3V8ePHHV2K3fj7++fqFNapU0f//ve/HVRR4Thz5ow2bdqktWvXOqwGwsx9+Pj4yMfHx9FlPFLOzs5q1KiR4uLi9Pzzz9u2x8XFqUuXLg6sDA/KarVq6NChWrdunbZu3aqgoCBHl/RIWK1WZWRkOLoMu2jTpk2us3teffVV1a5dW+PGjStWQUaSMjIydOTIEf35z392dCl207x581yXRDh27JiqVavmoIoKx9KlS1W5cmV17NjRYTUQZuwoOTlZFy5cUHJysrKyspSYmChJCg4OloeHh2OLe0ijRo1SVFSUwsPDFRERoUWLFik5OVkDBgxwdGl2ceXKFZ04ccL2PCkpSYmJiapYsaKqVq3qwMrsY/Dgwfroo4/0f//3f/L09LR12by8vOTq6urg6uzjjTfeUGRkpAIDA3X58mWtXr1aW7du1fr16x1dml14enrmWuPk7u4ub2/vYrH2acyYMercubOqVq2qc+fOacqUKUpPT1d0dLSjS7ObkSNHqlmzZpo2bZq6deumvXv3atGiRVq0aJGjS7Ob7OxsLV26VNHR0Spd2oGR4pGfP1WMRUdHWyXlemzZssXRpeXL//7v/1qrVatmdXZ2tj7xxBPF6rTeLVu25Pm9io6OdnRpdpHX3CRZly5d6ujS7KZXr162v5+VKlWytmnTxrpx40ZHl1WoitOp2S+99JLV39/fWqZMGWtAQIC1a9eu1kOHDjm6LLv7z3/+Y61fv77VxcXFWrt2beuiRYscXZJdbdiwwSrJevToUYfWYbFardZHnqAAAADshLOZAACA0QgzAADAaIQZAABgNMIMAAAwGmEGAAAYjTADAACMRpgBAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAh2rVqpWGDh2qESNGqEKFCvL19dWiRYt09epVvfrqq/L09NRjjz2mr7/+WpKUlZWl3r17KygoSK6urqpVq5bmzJmT4z23bt2qJ598Uu7u7ipfvryaN2+uM2fOSJL++9//qnXr1vL09FS5cuXUqFEjxcfHP/J5A7AfwgwAh1u+fLl8fHy0d+9eDR06VAMHDtSLL76oZs2a6fvvv1eHDh0UFRWl33//XdnZ2apSpYo++eQTHT58WG+++abeeOMNffLJJ5KkGzdu6LnnnlPLli31ww8/aNeuXerXr58sFosk6W9/+5uqVKmiffv2af/+/Xr99ddVpkwZR04fQAFx12wADtWqVStlZWVp+/btkm52Xry8vNS1a1etWLFCkpSamip/f3/t2rVLTZs2zfUegwcP1i+//KJPP/1UFy5ckLe3t7Zu3aqWLVvmGluuXDnNnTtX0dHRhTsxAI8MnRkADvf444/b/uzk5CRvb2+Fhobatvn6+kqSzp07J0l6//33FR4erkqVKsnDw0OLFy9WcnKyJKlixYrq2bOnOnTooM6dO2vOnDlKSUmxvdeoUaPUp08ftW3bVm+//bZOnjz5KKYIoBARZgA43J2HeSwWS45ttw4RZWdn65NPPtHIkSPVq1cvbdy4UYmJiXr11VeVmZlpG7906VLt2rVLzZo105o1a1SzZk3t3r1bkjRx4kQdOnRIHTt21ObNm1W3bl2tW7fuEcwSQGEhzAAwyvbt29WsWTMNGjRIYWFhCg4OzrO7EhYWppiYGO3cuVP169fXRx99ZHutZs2aGjlypDZu3KiuXbtq6dKlj3IKAOyMMAPAKMHBwYqPj9eGDRt07NgxTZgwQfv27bO9npSUpJiYGO3atUtnzpzRxo0bdezYMdWpU0fXrl3TkCFDtHXrVp05c0Y7duzQvn37VKdOHQfOCEBBlXZ0AQDwMAYMGKDExES99NJLslgsevnllzVo0CDbqdtubm768ccftXz5cp0/f17+/v4aMmSI+vfvrxs3buj8+fN65ZVX9Msvv8jHx0ddu3bVpEmTHDwrAAXB2UwAAMBoHGYCAABGI8wAAACjEWYAAIDRCDMAAMBohBkAAGA0wgwAADAaYQYAABiNMAMAAIxGmAEAAEYjzAAAAKMRZgAAgNH+P4EasT0HmzbiAAAAAElFTkSuQmCC", + "image/png": 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", "text/plain": [ "
    " ] diff --git a/advanced-python/70ScikitHEPUniverse.ipynb b/advanced-python/70ScikitHEPUniverse.ipynb index c2bb0de4..9c023b53 100644 --- a/advanced-python/70ScikitHEPUniverse.ipynb +++ b/advanced-python/70ScikitHEPUniverse.ipynb @@ -34,10 +34,10 @@ "start_time": "2023-11-09T18:41:36.790957906Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:44.719104Z", - "iopub.status.busy": "2023-11-28T11:33:44.718950Z", - "iopub.status.idle": "2023-11-28T11:33:45.088568Z", - "shell.execute_reply": "2023-11-28T11:33:45.088120Z" + "iopub.execute_input": "2023-12-04T17:59:58.147806Z", + "iopub.status.busy": "2023-12-04T17:59:58.147418Z", + "iopub.status.idle": "2023-12-04T17:59:58.519690Z", + "shell.execute_reply": "2023-12-04T17:59:58.519228Z" } }, "outputs": [ @@ -68,10 +68,10 @@ "start_time": "2023-11-09T18:41:37.505747578Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.090478Z", - "iopub.status.busy": "2023-11-28T11:33:45.090259Z", - "iopub.status.idle": "2023-11-28T11:33:45.094005Z", - "shell.execute_reply": "2023-11-28T11:33:45.093510Z" + "iopub.execute_input": "2023-12-04T17:59:58.521619Z", + "iopub.status.busy": "2023-12-04T17:59:58.521415Z", + "iopub.status.idle": "2023-12-04T17:59:58.525030Z", + "shell.execute_reply": "2023-12-04T17:59:58.524598Z" } }, "outputs": [ @@ -99,10 +99,10 @@ "start_time": "2023-11-09T18:41:37.510628475Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.095816Z", - "iopub.status.busy": "2023-11-28T11:33:45.095522Z", - "iopub.status.idle": "2023-11-28T11:33:45.099040Z", - "shell.execute_reply": "2023-11-28T11:33:45.098515Z" + "iopub.execute_input": "2023-12-04T17:59:58.526707Z", + "iopub.status.busy": "2023-12-04T17:59:58.526560Z", + "iopub.status.idle": "2023-12-04T17:59:58.529971Z", + "shell.execute_reply": "2023-12-04T17:59:58.529479Z" } }, "outputs": [ @@ -139,10 +139,10 @@ "start_time": "2023-11-09T18:41:37.522736067Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.100836Z", - "iopub.status.busy": "2023-11-28T11:33:45.100487Z", - "iopub.status.idle": "2023-11-28T11:33:45.209638Z", - "shell.execute_reply": "2023-11-28T11:33:45.209189Z" + "iopub.execute_input": "2023-12-04T17:59:58.531614Z", + "iopub.status.busy": "2023-12-04T17:59:58.531465Z", + "iopub.status.idle": "2023-12-04T17:59:58.642702Z", + "shell.execute_reply": "2023-12-04T17:59:58.642206Z" } }, "outputs": [], @@ -170,10 +170,10 @@ "start_time": "2023-11-09T18:41:37.779040900Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.212024Z", - "iopub.status.busy": "2023-11-28T11:33:45.211581Z", - "iopub.status.idle": "2023-11-28T11:33:45.215136Z", - "shell.execute_reply": "2023-11-28T11:33:45.214652Z" + "iopub.execute_input": "2023-12-04T17:59:58.644898Z", + "iopub.status.busy": "2023-12-04T17:59:58.644721Z", + "iopub.status.idle": "2023-12-04T17:59:58.648256Z", + "shell.execute_reply": "2023-12-04T17:59:58.647835Z" } }, "outputs": [ @@ -201,10 +201,10 @@ "start_time": "2023-11-09T18:41:37.779268397Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.216889Z", - "iopub.status.busy": "2023-11-28T11:33:45.216611Z", - "iopub.status.idle": "2023-11-28T11:33:45.219701Z", - "shell.execute_reply": "2023-11-28T11:33:45.219281Z" + "iopub.execute_input": "2023-12-04T17:59:58.650080Z", + "iopub.status.busy": "2023-12-04T17:59:58.649920Z", + "iopub.status.idle": "2023-12-04T17:59:58.653591Z", + "shell.execute_reply": "2023-12-04T17:59:58.653036Z" } }, "outputs": [ @@ -232,10 +232,10 @@ "start_time": "2023-11-09T18:41:37.779388976Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.221411Z", - "iopub.status.busy": "2023-11-28T11:33:45.221249Z", - "iopub.status.idle": "2023-11-28T11:33:45.224504Z", - "shell.execute_reply": "2023-11-28T11:33:45.224089Z" + "iopub.execute_input": "2023-12-04T17:59:58.656129Z", + "iopub.status.busy": "2023-12-04T17:59:58.655705Z", + "iopub.status.idle": "2023-12-04T17:59:58.659235Z", + "shell.execute_reply": "2023-12-04T17:59:58.658751Z" } }, "outputs": [ @@ -263,10 +263,10 @@ "start_time": "2023-11-09T18:41:37.779605715Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.226155Z", - "iopub.status.busy": "2023-11-28T11:33:45.225993Z", - "iopub.status.idle": "2023-11-28T11:33:45.229092Z", - "shell.execute_reply": "2023-11-28T11:33:45.228703Z" + "iopub.execute_input": "2023-12-04T17:59:58.661085Z", + "iopub.status.busy": "2023-12-04T17:59:58.660919Z", + "iopub.status.idle": "2023-12-04T17:59:58.664109Z", + "shell.execute_reply": "2023-12-04T17:59:58.663719Z" } }, "outputs": [ @@ -302,10 +302,10 @@ "start_time": "2023-11-09T18:41:37.779707095Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.230749Z", - "iopub.status.busy": "2023-11-28T11:33:45.230571Z", - "iopub.status.idle": "2023-11-28T11:33:45.260836Z", - "shell.execute_reply": "2023-11-28T11:33:45.260345Z" + "iopub.execute_input": "2023-12-04T17:59:58.665798Z", + "iopub.status.busy": "2023-12-04T17:59:58.665611Z", + "iopub.status.idle": "2023-12-04T17:59:58.696194Z", + "shell.execute_reply": "2023-12-04T17:59:58.695763Z" } }, "outputs": [ @@ -378,10 +378,10 @@ "start_time": "2023-11-09T18:41:37.835409659Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.262869Z", - "iopub.status.busy": "2023-11-28T11:33:45.262467Z", - "iopub.status.idle": "2023-11-28T11:33:45.265844Z", - "shell.execute_reply": "2023-11-28T11:33:45.265341Z" + "iopub.execute_input": "2023-12-04T17:59:58.698011Z", + "iopub.status.busy": "2023-12-04T17:59:58.697849Z", + "iopub.status.idle": "2023-12-04T17:59:58.701225Z", + "shell.execute_reply": "2023-12-04T17:59:58.700814Z" } }, "outputs": [ @@ -411,10 +411,10 @@ "start_time": "2023-11-09T18:41:37.841358263Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.267752Z", - "iopub.status.busy": "2023-11-28T11:33:45.267531Z", - "iopub.status.idle": "2023-11-28T11:33:45.269798Z", - "shell.execute_reply": "2023-11-28T11:33:45.269406Z" + "iopub.execute_input": "2023-12-04T17:59:58.703116Z", + "iopub.status.busy": "2023-12-04T17:59:58.702959Z", + "iopub.status.idle": "2023-12-04T17:59:58.705249Z", + "shell.execute_reply": "2023-12-04T17:59:58.704844Z" } }, "outputs": [], @@ -431,10 +431,10 @@ "start_time": "2023-11-09T18:41:37.883077241Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.271559Z", - "iopub.status.busy": "2023-11-28T11:33:45.271398Z", - "iopub.status.idle": "2023-11-28T11:33:45.274520Z", - "shell.execute_reply": "2023-11-28T11:33:45.274103Z" + "iopub.execute_input": "2023-12-04T17:59:58.706914Z", + "iopub.status.busy": "2023-12-04T17:59:58.706757Z", + "iopub.status.idle": "2023-12-04T17:59:58.710063Z", + "shell.execute_reply": "2023-12-04T17:59:58.709635Z" } }, "outputs": [ @@ -476,10 +476,10 @@ "start_time": "2023-11-09T18:41:37.883233940Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.276198Z", - "iopub.status.busy": "2023-11-28T11:33:45.276042Z", - "iopub.status.idle": "2023-11-28T11:33:45.348546Z", - "shell.execute_reply": "2023-11-28T11:33:45.348112Z" + "iopub.execute_input": "2023-12-04T17:59:58.711698Z", + "iopub.status.busy": "2023-12-04T17:59:58.711546Z", + "iopub.status.idle": "2023-12-04T17:59:58.786172Z", + "shell.execute_reply": "2023-12-04T17:59:58.785682Z" } }, "outputs": [], @@ -496,10 +496,10 @@ "start_time": "2023-11-09T18:41:38.000640796Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.350710Z", - "iopub.status.busy": "2023-11-28T11:33:45.350367Z", - "iopub.status.idle": "2023-11-28T11:33:45.357265Z", - "shell.execute_reply": "2023-11-28T11:33:45.356874Z" + "iopub.execute_input": "2023-12-04T17:59:58.788337Z", + "iopub.status.busy": "2023-12-04T17:59:58.788122Z", + "iopub.status.idle": "2023-12-04T17:59:58.794937Z", + "shell.execute_reply": "2023-12-04T17:59:58.794423Z" }, "pycharm": { "name": "#%%\n" @@ -562,10 +562,10 @@ "start_time": "2023-11-09T18:41:38.047094192Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.359058Z", - "iopub.status.busy": "2023-11-28T11:33:45.358779Z", - "iopub.status.idle": "2023-11-28T11:33:45.369525Z", - "shell.execute_reply": "2023-11-28T11:33:45.369139Z" + "iopub.execute_input": "2023-12-04T17:59:58.796904Z", + "iopub.status.busy": "2023-12-04T17:59:58.796646Z", + "iopub.status.idle": "2023-12-04T17:59:58.808617Z", + "shell.execute_reply": "2023-12-04T17:59:58.808117Z" } }, "outputs": [ @@ -594,10 +594,10 @@ "start_time": "2023-11-09T18:41:38.047282206Z" }, "execution": { - "iopub.execute_input": "2023-11-28T11:33:45.371297Z", - "iopub.status.busy": "2023-11-28T11:33:45.370992Z", - "iopub.status.idle": "2023-11-28T11:33:45.374427Z", - "shell.execute_reply": "2023-11-28T11:33:45.373947Z" + "iopub.execute_input": "2023-12-04T17:59:58.810518Z", + "iopub.status.busy": "2023-12-04T17:59:58.810215Z", + "iopub.status.idle": "2023-12-04T17:59:58.813774Z", + "shell.execute_reply": "2023-12-04T17:59:58.813261Z" } }, "outputs": [ diff --git a/index.html b/index.html index 3788df41..5e569681 100644 --- a/index.html +++ b/index.html @@ -464,7 +464,7 @@
    -

    Analysis essentials Build Status Binder

    +

    Analysis essentials Build Status Binder

    This is the source material for the analysis essentials website, a series of lessons for helping high-energy physics analysts become more comfortable working with the shell, version control, and programming.

    @@ -474,6 +474,16 @@

    Analysis essentials contributing guide for details on how to participate.

    +
    +
    +

    HSF Software Training

    +
    +
    +

    This training module is part of the HSF Software Training Center, +a series of training modules that serves HEP newcomers the software skills needed +as they enter the field, and in parallel, instill best practices for writing software.

    +
    +

    Prerequisites

    There are two options for running these lessons. Running locally should be prefered on Linux and macOS as it is faster and makes it easier to save you work. On Windows it is likely easier to use Binder however care is needed to prevent notebooks being lost when the server is shut down.

    diff --git a/python/01basics.ipynb b/python/01basics.ipynb index 1d42b004..d9545d54 100644 --- a/python/01basics.ipynb +++ b/python/01basics.ipynb @@ -55,10 +55,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.361079Z", - "iopub.status.busy": "2023-11-28T11:33:47.360926Z", - "iopub.status.idle": "2023-11-28T11:33:47.365776Z", - "shell.execute_reply": "2023-11-28T11:33:47.365315Z" + "iopub.execute_input": "2023-12-04T18:00:00.673347Z", + "iopub.status.busy": "2023-12-04T18:00:00.672892Z", + "iopub.status.idle": "2023-12-04T18:00:00.678063Z", + "shell.execute_reply": "2023-12-04T18:00:00.677639Z" }, "slideshow": { "slide_type": "subslide" @@ -74,10 +74,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.367664Z", - "iopub.status.busy": "2023-11-28T11:33:47.367372Z", - "iopub.status.idle": "2023-11-28T11:33:47.370192Z", - "shell.execute_reply": "2023-11-28T11:33:47.369729Z" + "iopub.execute_input": "2023-12-04T18:00:00.679781Z", + "iopub.status.busy": "2023-12-04T18:00:00.679634Z", + "iopub.status.idle": "2023-12-04T18:00:00.682546Z", + "shell.execute_reply": "2023-12-04T18:00:00.682137Z" }, "slideshow": { "slide_type": "subslide" @@ -148,10 +148,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.371932Z", - "iopub.status.busy": "2023-11-28T11:33:47.371789Z", - "iopub.status.idle": "2023-11-28T11:33:47.374550Z", - "shell.execute_reply": "2023-11-28T11:33:47.374166Z" + "iopub.execute_input": "2023-12-04T18:00:00.684423Z", + "iopub.status.busy": "2023-12-04T18:00:00.684117Z", + "iopub.status.idle": "2023-12-04T18:00:00.686865Z", + "shell.execute_reply": "2023-12-04T18:00:00.686492Z" }, "slideshow": { "slide_type": "subslide" @@ -180,10 +180,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.376161Z", - "iopub.status.busy": "2023-11-28T11:33:47.376022Z", - "iopub.status.idle": "2023-11-28T11:33:47.380915Z", - "shell.execute_reply": "2023-11-28T11:33:47.380417Z" + "iopub.execute_input": "2023-12-04T18:00:00.688687Z", + "iopub.status.busy": "2023-12-04T18:00:00.688392Z", + "iopub.status.idle": "2023-12-04T18:00:00.693229Z", + "shell.execute_reply": "2023-12-04T18:00:00.692842Z" }, "slideshow": { "slide_type": "subslide" @@ -234,10 +234,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.382978Z", - "iopub.status.busy": "2023-11-28T11:33:47.382577Z", - "iopub.status.idle": "2023-11-28T11:33:47.384934Z", - "shell.execute_reply": "2023-11-28T11:33:47.384540Z" + "iopub.execute_input": "2023-12-04T18:00:00.694916Z", + "iopub.status.busy": "2023-12-04T18:00:00.694776Z", + "iopub.status.idle": "2023-12-04T18:00:00.696913Z", + "shell.execute_reply": "2023-12-04T18:00:00.696544Z" }, "slideshow": { "slide_type": "subslide" @@ -254,10 +254,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.386756Z", - "iopub.status.busy": "2023-11-28T11:33:47.386385Z", - "iopub.status.idle": "2023-11-28T11:33:47.389576Z", - "shell.execute_reply": "2023-11-28T11:33:47.389182Z" + "iopub.execute_input": "2023-12-04T18:00:00.698600Z", + "iopub.status.busy": "2023-12-04T18:00:00.698457Z", + "iopub.status.idle": "2023-12-04T18:00:00.701613Z", + "shell.execute_reply": "2023-12-04T18:00:00.701118Z" }, "slideshow": { "slide_type": "subslide" @@ -295,10 +295,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.391361Z", - "iopub.status.busy": "2023-11-28T11:33:47.391050Z", - "iopub.status.idle": "2023-11-28T11:33:47.509588Z", - "shell.execute_reply": "2023-11-28T11:33:47.509115Z" + "iopub.execute_input": "2023-12-04T18:00:00.703533Z", + "iopub.status.busy": "2023-12-04T18:00:00.703228Z", + "iopub.status.idle": "2023-12-04T18:00:00.823288Z", + "shell.execute_reply": "2023-12-04T18:00:00.822823Z" }, "slideshow": { "slide_type": "subslide" @@ -340,10 +340,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.511710Z", - "iopub.status.busy": "2023-11-28T11:33:47.511394Z", - "iopub.status.idle": "2023-11-28T11:33:47.520888Z", - "shell.execute_reply": "2023-11-28T11:33:47.520504Z" + "iopub.execute_input": "2023-12-04T18:00:00.825261Z", + "iopub.status.busy": "2023-12-04T18:00:00.825091Z", + "iopub.status.idle": "2023-12-04T18:00:00.835318Z", + "shell.execute_reply": "2023-12-04T18:00:00.834801Z" }, "slideshow": { "slide_type": "subslide" @@ -385,10 +385,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.522554Z", - "iopub.status.busy": "2023-11-28T11:33:47.522398Z", - "iopub.status.idle": "2023-11-28T11:33:47.525646Z", - "shell.execute_reply": "2023-11-28T11:33:47.525262Z" + "iopub.execute_input": "2023-12-04T18:00:00.837286Z", + "iopub.status.busy": "2023-12-04T18:00:00.837000Z", + "iopub.status.idle": "2023-12-04T18:00:00.840305Z", + "shell.execute_reply": "2023-12-04T18:00:00.839918Z" }, "slideshow": { "slide_type": "subslide" @@ -428,10 +428,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.527511Z", - "iopub.status.busy": "2023-11-28T11:33:47.527144Z", - "iopub.status.idle": "2023-11-28T11:33:47.529867Z", - "shell.execute_reply": "2023-11-28T11:33:47.529471Z" + "iopub.execute_input": "2023-12-04T18:00:00.842263Z", + "iopub.status.busy": "2023-12-04T18:00:00.841964Z", + "iopub.status.idle": "2023-12-04T18:00:00.844539Z", + "shell.execute_reply": "2023-12-04T18:00:00.844096Z" }, "slideshow": { "slide_type": "subslide" @@ -456,10 +456,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.531679Z", - "iopub.status.busy": "2023-11-28T11:33:47.531374Z", - "iopub.status.idle": "2023-11-28T11:33:47.534109Z", - "shell.execute_reply": "2023-11-28T11:33:47.533623Z" + "iopub.execute_input": "2023-12-04T18:00:00.846379Z", + "iopub.status.busy": "2023-12-04T18:00:00.846084Z", + "iopub.status.idle": "2023-12-04T18:00:00.848765Z", + "shell.execute_reply": "2023-12-04T18:00:00.848301Z" }, "slideshow": { "slide_type": "subslide" @@ -495,10 +495,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.535772Z", - "iopub.status.busy": "2023-11-28T11:33:47.535623Z", - "iopub.status.idle": "2023-11-28T11:33:47.537839Z", - "shell.execute_reply": "2023-11-28T11:33:47.537471Z" + "iopub.execute_input": "2023-12-04T18:00:00.850513Z", + "iopub.status.busy": "2023-12-04T18:00:00.850371Z", + "iopub.status.idle": "2023-12-04T18:00:00.852716Z", + "shell.execute_reply": "2023-12-04T18:00:00.852316Z" }, "slideshow": { "slide_type": "subslide" @@ -525,10 +525,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.539538Z", - "iopub.status.busy": "2023-11-28T11:33:47.539387Z", - "iopub.status.idle": "2023-11-28T11:33:47.542533Z", - "shell.execute_reply": "2023-11-28T11:33:47.542015Z" + "iopub.execute_input": "2023-12-04T18:00:00.854361Z", + "iopub.status.busy": "2023-12-04T18:00:00.854221Z", + "iopub.status.idle": "2023-12-04T18:00:00.857411Z", + "shell.execute_reply": "2023-12-04T18:00:00.856919Z" }, "slideshow": { "slide_type": "subslide" @@ -587,10 +587,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.544381Z", - "iopub.status.busy": "2023-11-28T11:33:47.544107Z", - "iopub.status.idle": "2023-11-28T11:33:47.546811Z", - "shell.execute_reply": "2023-11-28T11:33:47.546324Z" + "iopub.execute_input": "2023-12-04T18:00:00.859290Z", + "iopub.status.busy": "2023-12-04T18:00:00.858992Z", + "iopub.status.idle": "2023-12-04T18:00:00.861784Z", + "shell.execute_reply": "2023-12-04T18:00:00.861280Z" }, "slideshow": { "slide_type": "subslide" @@ -627,10 +627,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.548599Z", - "iopub.status.busy": "2023-11-28T11:33:47.548298Z", - "iopub.status.idle": "2023-11-28T11:33:47.551391Z", - "shell.execute_reply": "2023-11-28T11:33:47.550954Z" + "iopub.execute_input": "2023-12-04T18:00:00.863750Z", + "iopub.status.busy": "2023-12-04T18:00:00.863329Z", + "iopub.status.idle": "2023-12-04T18:00:00.866672Z", + "shell.execute_reply": "2023-12-04T18:00:00.866197Z" }, "slideshow": { "slide_type": "subslide" @@ -668,10 +668,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.553028Z", - "iopub.status.busy": "2023-11-28T11:33:47.552890Z", - "iopub.status.idle": "2023-11-28T11:33:47.555565Z", - "shell.execute_reply": "2023-11-28T11:33:47.555160Z" + "iopub.execute_input": "2023-12-04T18:00:00.868449Z", + "iopub.status.busy": "2023-12-04T18:00:00.868160Z", + "iopub.status.idle": "2023-12-04T18:00:00.870814Z", + "shell.execute_reply": "2023-12-04T18:00:00.870353Z" }, "slideshow": { "slide_type": "subslide" @@ -707,10 +707,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.557367Z", - "iopub.status.busy": "2023-11-28T11:33:47.557070Z", - "iopub.status.idle": "2023-11-28T11:33:47.559833Z", - "shell.execute_reply": "2023-11-28T11:33:47.559356Z" + "iopub.execute_input": "2023-12-04T18:00:00.872577Z", + "iopub.status.busy": "2023-12-04T18:00:00.872290Z", + "iopub.status.idle": "2023-12-04T18:00:00.874837Z", + "shell.execute_reply": "2023-12-04T18:00:00.874370Z" }, "slideshow": { "slide_type": "subslide" @@ -748,10 +748,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.561684Z", - "iopub.status.busy": "2023-11-28T11:33:47.561286Z", - "iopub.status.idle": "2023-11-28T11:33:47.570515Z", - "shell.execute_reply": "2023-11-28T11:33:47.570037Z" + "iopub.execute_input": "2023-12-04T18:00:00.876550Z", + "iopub.status.busy": "2023-12-04T18:00:00.876408Z", + "iopub.status.idle": "2023-12-04T18:00:00.886548Z", + "shell.execute_reply": "2023-12-04T18:00:00.886046Z" }, "slideshow": { "slide_type": "subslide" @@ -793,10 +793,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.572306Z", - "iopub.status.busy": "2023-11-28T11:33:47.572023Z", - "iopub.status.idle": "2023-11-28T11:33:47.574856Z", - "shell.execute_reply": "2023-11-28T11:33:47.574353Z" + "iopub.execute_input": "2023-12-04T18:00:00.888646Z", + "iopub.status.busy": "2023-12-04T18:00:00.888287Z", + "iopub.status.idle": "2023-12-04T18:00:00.891119Z", + "shell.execute_reply": "2023-12-04T18:00:00.890617Z" }, "slideshow": { "slide_type": "subslide" @@ -821,10 +821,10 @@ "execution_count": 20, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.576486Z", - "iopub.status.busy": "2023-11-28T11:33:47.576329Z", - "iopub.status.idle": "2023-11-28T11:33:47.579029Z", - "shell.execute_reply": "2023-11-28T11:33:47.578545Z" + "iopub.execute_input": "2023-12-04T18:00:00.893114Z", + "iopub.status.busy": "2023-12-04T18:00:00.892598Z", + "iopub.status.idle": "2023-12-04T18:00:00.895647Z", + "shell.execute_reply": "2023-12-04T18:00:00.895157Z" }, "slideshow": { "slide_type": "subslide" @@ -863,10 +863,10 @@ "execution_count": 21, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.580683Z", - "iopub.status.busy": "2023-11-28T11:33:47.580538Z", - "iopub.status.idle": "2023-11-28T11:33:47.582934Z", - "shell.execute_reply": "2023-11-28T11:33:47.582429Z" + "iopub.execute_input": "2023-12-04T18:00:00.897508Z", + "iopub.status.busy": "2023-12-04T18:00:00.897203Z", + "iopub.status.idle": "2023-12-04T18:00:00.899616Z", + "shell.execute_reply": "2023-12-04T18:00:00.899217Z" }, "slideshow": { "slide_type": "subslide" @@ -893,10 +893,10 @@ "execution_count": 22, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.584791Z", - "iopub.status.busy": "2023-11-28T11:33:47.584421Z", - "iopub.status.idle": "2023-11-28T11:33:47.587163Z", - "shell.execute_reply": "2023-11-28T11:33:47.586658Z" + "iopub.execute_input": "2023-12-04T18:00:00.901413Z", + "iopub.status.busy": "2023-12-04T18:00:00.901109Z", + "iopub.status.idle": "2023-12-04T18:00:00.903851Z", + "shell.execute_reply": "2023-12-04T18:00:00.903455Z" }, "slideshow": { "slide_type": "subslide" @@ -934,10 +934,10 @@ "execution_count": 23, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.589069Z", - "iopub.status.busy": "2023-11-28T11:33:47.588722Z", - "iopub.status.idle": "2023-11-28T11:33:47.598229Z", - "shell.execute_reply": "2023-11-28T11:33:47.597729Z" + "iopub.execute_input": "2023-12-04T18:00:00.905703Z", + "iopub.status.busy": "2023-12-04T18:00:00.905327Z", + "iopub.status.idle": "2023-12-04T18:00:00.915100Z", + "shell.execute_reply": "2023-12-04T18:00:00.914617Z" }, "slideshow": { "slide_type": "subslide" @@ -979,10 +979,10 @@ "execution_count": 24, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.600152Z", - "iopub.status.busy": "2023-11-28T11:33:47.599800Z", - "iopub.status.idle": "2023-11-28T11:33:47.602601Z", - "shell.execute_reply": "2023-11-28T11:33:47.602127Z" + "iopub.execute_input": "2023-12-04T18:00:00.917108Z", + "iopub.status.busy": "2023-12-04T18:00:00.916830Z", + "iopub.status.idle": "2023-12-04T18:00:00.919654Z", + "shell.execute_reply": "2023-12-04T18:00:00.919187Z" }, "slideshow": { "slide_type": "subslide" @@ -1031,10 +1031,10 @@ "execution_count": 25, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.604418Z", - "iopub.status.busy": "2023-11-28T11:33:47.604137Z", - "iopub.status.idle": "2023-11-28T11:33:47.606492Z", - "shell.execute_reply": "2023-11-28T11:33:47.606098Z" + "iopub.execute_input": "2023-12-04T18:00:00.921338Z", + "iopub.status.busy": "2023-12-04T18:00:00.921182Z", + "iopub.status.idle": "2023-12-04T18:00:00.923687Z", + "shell.execute_reply": "2023-12-04T18:00:00.923290Z" }, "slideshow": { "slide_type": "subslide" @@ -1053,10 +1053,10 @@ "execution_count": 26, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.608285Z", - "iopub.status.busy": "2023-11-28T11:33:47.607989Z", - "iopub.status.idle": "2023-11-28T11:33:47.610484Z", - "shell.execute_reply": "2023-11-28T11:33:47.610005Z" + "iopub.execute_input": "2023-12-04T18:00:00.925449Z", + "iopub.status.busy": "2023-12-04T18:00:00.925154Z", + "iopub.status.idle": "2023-12-04T18:00:00.927729Z", + "shell.execute_reply": "2023-12-04T18:00:00.927246Z" } }, "outputs": [], @@ -1089,10 +1089,10 @@ "execution_count": 27, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.612440Z", - "iopub.status.busy": "2023-11-28T11:33:47.612159Z", - "iopub.status.idle": "2023-11-28T11:33:47.614851Z", - "shell.execute_reply": "2023-11-28T11:33:47.614338Z" + "iopub.execute_input": "2023-12-04T18:00:00.929603Z", + "iopub.status.busy": "2023-12-04T18:00:00.929241Z", + "iopub.status.idle": "2023-12-04T18:00:00.931974Z", + "shell.execute_reply": "2023-12-04T18:00:00.931523Z" }, "slideshow": { "slide_type": "subslide" @@ -1116,10 +1116,10 @@ "execution_count": 28, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.616645Z", - "iopub.status.busy": "2023-11-28T11:33:47.616350Z", - "iopub.status.idle": "2023-11-28T11:33:47.625749Z", - "shell.execute_reply": "2023-11-28T11:33:47.625245Z" + "iopub.execute_input": "2023-12-04T18:00:00.933812Z", + "iopub.status.busy": "2023-12-04T18:00:00.933398Z", + "iopub.status.idle": "2023-12-04T18:00:00.943355Z", + "shell.execute_reply": "2023-12-04T18:00:00.942879Z" }, "slideshow": { "slide_type": "subslide" @@ -1174,10 +1174,10 @@ "execution_count": 29, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.627738Z", - "iopub.status.busy": "2023-11-28T11:33:47.627446Z", - "iopub.status.idle": "2023-11-28T11:33:47.629820Z", - "shell.execute_reply": "2023-11-28T11:33:47.629353Z" + "iopub.execute_input": "2023-12-04T18:00:00.945406Z", + "iopub.status.busy": "2023-12-04T18:00:00.945046Z", + "iopub.status.idle": "2023-12-04T18:00:00.947445Z", + "shell.execute_reply": "2023-12-04T18:00:00.946977Z" }, "slideshow": { "slide_type": "subslide" @@ -1193,10 +1193,10 @@ "execution_count": 30, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.631646Z", - "iopub.status.busy": "2023-11-28T11:33:47.631288Z", - "iopub.status.idle": "2023-11-28T11:33:47.633566Z", - "shell.execute_reply": "2023-11-28T11:33:47.633162Z" + "iopub.execute_input": "2023-12-04T18:00:00.949191Z", + "iopub.status.busy": "2023-12-04T18:00:00.948898Z", + "iopub.status.idle": "2023-12-04T18:00:00.951119Z", + "shell.execute_reply": "2023-12-04T18:00:00.950738Z" }, "slideshow": { "slide_type": "subslide" @@ -1212,10 +1212,10 @@ "execution_count": 31, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.635192Z", - "iopub.status.busy": "2023-11-28T11:33:47.635043Z", - "iopub.status.idle": "2023-11-28T11:33:47.637172Z", - "shell.execute_reply": "2023-11-28T11:33:47.636778Z" + "iopub.execute_input": "2023-12-04T18:00:00.952808Z", + "iopub.status.busy": "2023-12-04T18:00:00.952523Z", + "iopub.status.idle": "2023-12-04T18:00:00.954894Z", + "shell.execute_reply": "2023-12-04T18:00:00.954410Z" }, "slideshow": { "slide_type": "subslide" @@ -1255,10 +1255,10 @@ "execution_count": 32, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.639175Z", - "iopub.status.busy": "2023-11-28T11:33:47.638718Z", - "iopub.status.idle": "2023-11-28T11:33:47.641351Z", - "shell.execute_reply": "2023-11-28T11:33:47.640959Z" + "iopub.execute_input": "2023-12-04T18:00:00.956721Z", + "iopub.status.busy": "2023-12-04T18:00:00.956362Z", + "iopub.status.idle": "2023-12-04T18:00:00.959155Z", + "shell.execute_reply": "2023-12-04T18:00:00.958691Z" }, "slideshow": { "slide_type": "subslide" @@ -1284,10 +1284,10 @@ "execution_count": 33, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.643122Z", - "iopub.status.busy": "2023-11-28T11:33:47.642820Z", - "iopub.status.idle": "2023-11-28T11:33:47.645526Z", - "shell.execute_reply": "2023-11-28T11:33:47.645028Z" + "iopub.execute_input": "2023-12-04T18:00:00.960832Z", + "iopub.status.busy": "2023-12-04T18:00:00.960676Z", + "iopub.status.idle": "2023-12-04T18:00:00.963514Z", + "shell.execute_reply": "2023-12-04T18:00:00.963107Z" }, "slideshow": { "slide_type": "subslide" @@ -1323,10 +1323,10 @@ "execution_count": 34, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.647320Z", - "iopub.status.busy": "2023-11-28T11:33:47.647023Z", - "iopub.status.idle": "2023-11-28T11:33:47.649586Z", - "shell.execute_reply": "2023-11-28T11:33:47.649106Z" + "iopub.execute_input": "2023-12-04T18:00:00.965117Z", + "iopub.status.busy": "2023-12-04T18:00:00.964964Z", + "iopub.status.idle": "2023-12-04T18:00:00.967824Z", + "shell.execute_reply": "2023-12-04T18:00:00.967430Z" }, "slideshow": { "slide_type": "subslide" @@ -1352,10 +1352,10 @@ "execution_count": 35, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.651252Z", - "iopub.status.busy": "2023-11-28T11:33:47.651115Z", - "iopub.status.idle": "2023-11-28T11:33:47.653901Z", - "shell.execute_reply": "2023-11-28T11:33:47.653488Z" + "iopub.execute_input": "2023-12-04T18:00:00.969410Z", + "iopub.status.busy": "2023-12-04T18:00:00.969260Z", + "iopub.status.idle": "2023-12-04T18:00:00.971959Z", + "shell.execute_reply": "2023-12-04T18:00:00.971483Z" }, "slideshow": { "slide_type": "subslide" @@ -1405,10 +1405,10 @@ "execution_count": 36, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.655772Z", - "iopub.status.busy": "2023-11-28T11:33:47.655411Z", - "iopub.status.idle": "2023-11-28T11:33:47.657774Z", - "shell.execute_reply": "2023-11-28T11:33:47.657376Z" + "iopub.execute_input": "2023-12-04T18:00:00.973945Z", + "iopub.status.busy": "2023-12-04T18:00:00.973562Z", + "iopub.status.idle": "2023-12-04T18:00:00.975911Z", + "shell.execute_reply": "2023-12-04T18:00:00.975506Z" }, "slideshow": { "slide_type": "subslide" @@ -1436,10 +1436,10 @@ "execution_count": 37, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.659771Z", - "iopub.status.busy": "2023-11-28T11:33:47.659383Z", - "iopub.status.idle": "2023-11-28T11:33:47.661930Z", - "shell.execute_reply": "2023-11-28T11:33:47.661527Z" + "iopub.execute_input": "2023-12-04T18:00:00.977639Z", + "iopub.status.busy": "2023-12-04T18:00:00.977484Z", + "iopub.status.idle": "2023-12-04T18:00:00.979831Z", + "shell.execute_reply": "2023-12-04T18:00:00.979435Z" }, "slideshow": { "slide_type": "subslide" @@ -1468,10 +1468,10 @@ "execution_count": 38, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.663719Z", - "iopub.status.busy": "2023-11-28T11:33:47.663414Z", - "iopub.status.idle": "2023-11-28T11:33:47.666342Z", - "shell.execute_reply": "2023-11-28T11:33:47.665919Z" + "iopub.execute_input": "2023-12-04T18:00:00.981750Z", + "iopub.status.busy": "2023-12-04T18:00:00.981324Z", + "iopub.status.idle": "2023-12-04T18:00:00.984268Z", + "shell.execute_reply": "2023-12-04T18:00:00.983789Z" }, "slideshow": { "slide_type": "subslide" @@ -1510,10 +1510,10 @@ "execution_count": 39, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.667990Z", - "iopub.status.busy": "2023-11-28T11:33:47.667833Z", - "iopub.status.idle": "2023-11-28T11:33:47.670584Z", - "shell.execute_reply": "2023-11-28T11:33:47.670127Z" + "iopub.execute_input": "2023-12-04T18:00:00.986007Z", + "iopub.status.busy": "2023-12-04T18:00:00.985852Z", + "iopub.status.idle": "2023-12-04T18:00:00.988601Z", + "shell.execute_reply": "2023-12-04T18:00:00.988128Z" }, "slideshow": { "slide_type": "subslide" @@ -1541,10 +1541,10 @@ "execution_count": 40, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.672475Z", - "iopub.status.busy": "2023-11-28T11:33:47.672112Z", - "iopub.status.idle": "2023-11-28T11:33:47.674902Z", - "shell.execute_reply": "2023-11-28T11:33:47.674380Z" + "iopub.execute_input": "2023-12-04T18:00:00.990295Z", + "iopub.status.busy": "2023-12-04T18:00:00.990139Z", + "iopub.status.idle": "2023-12-04T18:00:00.992693Z", + "shell.execute_reply": "2023-12-04T18:00:00.992248Z" }, "slideshow": { "slide_type": "subslide" @@ -1582,10 +1582,10 @@ "execution_count": 41, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.676869Z", - "iopub.status.busy": "2023-11-28T11:33:47.676514Z", - "iopub.status.idle": "2023-11-28T11:33:47.678979Z", - "shell.execute_reply": "2023-11-28T11:33:47.678470Z" + "iopub.execute_input": "2023-12-04T18:00:00.994440Z", + "iopub.status.busy": "2023-12-04T18:00:00.994287Z", + "iopub.status.idle": "2023-12-04T18:00:00.996650Z", + "shell.execute_reply": "2023-12-04T18:00:00.996177Z" }, "slideshow": { "slide_type": "subslide" @@ -1601,10 +1601,10 @@ "execution_count": 42, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.680657Z", - "iopub.status.busy": "2023-11-28T11:33:47.680502Z", - "iopub.status.idle": "2023-11-28T11:33:47.683400Z", - "shell.execute_reply": "2023-11-28T11:33:47.682982Z" + "iopub.execute_input": "2023-12-04T18:00:00.998359Z", + "iopub.status.busy": "2023-12-04T18:00:00.998208Z", + "iopub.status.idle": "2023-12-04T18:00:01.000857Z", + "shell.execute_reply": "2023-12-04T18:00:01.000414Z" }, "slideshow": { "slide_type": "subslide" @@ -1648,10 +1648,10 @@ "execution_count": 43, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.685284Z", - "iopub.status.busy": "2023-11-28T11:33:47.684994Z", - "iopub.status.idle": "2023-11-28T11:33:47.687537Z", - "shell.execute_reply": "2023-11-28T11:33:47.687045Z" + "iopub.execute_input": "2023-12-04T18:00:01.002606Z", + "iopub.status.busy": "2023-12-04T18:00:01.002455Z", + "iopub.status.idle": "2023-12-04T18:00:01.005087Z", + "shell.execute_reply": "2023-12-04T18:00:01.004612Z" }, "slideshow": { "slide_type": "subslide" @@ -1677,10 +1677,10 @@ "execution_count": 44, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.689335Z", - "iopub.status.busy": "2023-11-28T11:33:47.689025Z", - "iopub.status.idle": "2023-11-28T11:33:47.691817Z", - "shell.execute_reply": "2023-11-28T11:33:47.691403Z" + "iopub.execute_input": "2023-12-04T18:00:01.006804Z", + "iopub.status.busy": "2023-12-04T18:00:01.006649Z", + "iopub.status.idle": "2023-12-04T18:00:01.009370Z", + "shell.execute_reply": "2023-12-04T18:00:01.008963Z" }, "slideshow": { "slide_type": "subslide" @@ -1716,10 +1716,10 @@ "execution_count": 45, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.693654Z", - "iopub.status.busy": "2023-11-28T11:33:47.693361Z", - "iopub.status.idle": "2023-11-28T11:33:47.696115Z", - "shell.execute_reply": "2023-11-28T11:33:47.695616Z" + "iopub.execute_input": "2023-12-04T18:00:01.010980Z", + "iopub.status.busy": "2023-12-04T18:00:01.010829Z", + "iopub.status.idle": "2023-12-04T18:00:01.013494Z", + "shell.execute_reply": "2023-12-04T18:00:01.013029Z" }, "slideshow": { "slide_type": "subslide" @@ -1780,10 +1780,10 @@ "execution_count": 46, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.698173Z", - "iopub.status.busy": "2023-11-28T11:33:47.697790Z", - "iopub.status.idle": "2023-11-28T11:33:47.701159Z", - "shell.execute_reply": "2023-11-28T11:33:47.700742Z" + "iopub.execute_input": "2023-12-04T18:00:01.015327Z", + "iopub.status.busy": "2023-12-04T18:00:01.015023Z", + "iopub.status.idle": "2023-12-04T18:00:01.018049Z", + "shell.execute_reply": "2023-12-04T18:00:01.017622Z" }, "slideshow": { "slide_type": "subslide" @@ -1812,10 +1812,10 @@ "execution_count": 47, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.702952Z", - "iopub.status.busy": "2023-11-28T11:33:47.702551Z", - "iopub.status.idle": "2023-11-28T11:33:47.705964Z", - "shell.execute_reply": "2023-11-28T11:33:47.705545Z" + "iopub.execute_input": "2023-12-04T18:00:01.019702Z", + "iopub.status.busy": "2023-12-04T18:00:01.019546Z", + "iopub.status.idle": "2023-12-04T18:00:01.023163Z", + "shell.execute_reply": "2023-12-04T18:00:01.022680Z" } }, "outputs": [ @@ -1840,10 +1840,10 @@ "execution_count": 48, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.707859Z", - "iopub.status.busy": "2023-11-28T11:33:47.707484Z", - "iopub.status.idle": "2023-11-28T11:33:47.710770Z", - "shell.execute_reply": "2023-11-28T11:33:47.710261Z" + "iopub.execute_input": "2023-12-04T18:00:01.024866Z", + "iopub.status.busy": "2023-12-04T18:00:01.024711Z", + "iopub.status.idle": "2023-12-04T18:00:01.027850Z", + "shell.execute_reply": "2023-12-04T18:00:01.027446Z" } }, "outputs": [ @@ -1878,10 +1878,10 @@ "execution_count": 49, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.712591Z", - "iopub.status.busy": "2023-11-28T11:33:47.712276Z", - "iopub.status.idle": "2023-11-28T11:33:47.714910Z", - "shell.execute_reply": "2023-11-28T11:33:47.714412Z" + "iopub.execute_input": "2023-12-04T18:00:01.029487Z", + "iopub.status.busy": "2023-12-04T18:00:01.029334Z", + "iopub.status.idle": "2023-12-04T18:00:01.032152Z", + "shell.execute_reply": "2023-12-04T18:00:01.031753Z" }, "slideshow": { "slide_type": "subslide" @@ -1906,10 +1906,10 @@ "execution_count": 50, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.716772Z", - "iopub.status.busy": "2023-11-28T11:33:47.716473Z", - "iopub.status.idle": "2023-11-28T11:33:47.719214Z", - "shell.execute_reply": "2023-11-28T11:33:47.718702Z" + "iopub.execute_input": "2023-12-04T18:00:01.033765Z", + "iopub.status.busy": "2023-12-04T18:00:01.033598Z", + "iopub.status.idle": "2023-12-04T18:00:01.036277Z", + "shell.execute_reply": "2023-12-04T18:00:01.035829Z" }, "slideshow": { "slide_type": "subslide" @@ -2005,10 +2005,10 @@ "execution_count": 51, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:47.721119Z", - "iopub.status.busy": "2023-11-28T11:33:47.720877Z", - "iopub.status.idle": "2023-11-28T11:33:47.723873Z", - "shell.execute_reply": "2023-11-28T11:33:47.723445Z" + "iopub.execute_input": "2023-12-04T18:00:01.037956Z", + "iopub.status.busy": "2023-12-04T18:00:01.037806Z", + "iopub.status.idle": "2023-12-04T18:00:01.040579Z", + "shell.execute_reply": "2023-12-04T18:00:01.040132Z" }, "slideshow": { "slide_type": "subslide" diff --git a/python/classes.ipynb b/python/classes.ipynb index fb80a897..943a37e4 100644 --- a/python/classes.ipynb +++ b/python/classes.ipynb @@ -26,10 +26,10 @@ "execution_count": 1, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.278039Z", - "iopub.status.busy": "2023-11-28T11:33:50.277882Z", - "iopub.status.idle": "2023-11-28T11:33:50.338451Z", - "shell.execute_reply": "2023-11-28T11:33:50.337935Z" + "iopub.execute_input": "2023-12-04T18:00:03.865123Z", + "iopub.status.busy": "2023-12-04T18:00:03.864964Z", + "iopub.status.idle": "2023-12-04T18:00:03.926408Z", + "shell.execute_reply": "2023-12-04T18:00:03.925888Z" } }, "outputs": [], @@ -42,10 +42,10 @@ "execution_count": 2, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.342156Z", - "iopub.status.busy": "2023-11-28T11:33:50.341281Z", - "iopub.status.idle": "2023-11-28T11:33:50.345587Z", - "shell.execute_reply": "2023-11-28T11:33:50.345163Z" + "iopub.execute_input": "2023-12-04T18:00:03.929853Z", + "iopub.status.busy": "2023-12-04T18:00:03.928948Z", + "iopub.status.idle": "2023-12-04T18:00:03.933312Z", + "shell.execute_reply": "2023-12-04T18:00:03.932882Z" } }, "outputs": [], @@ -66,10 +66,10 @@ "execution_count": 3, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.348695Z", - "iopub.status.busy": "2023-11-28T11:33:50.347895Z", - "iopub.status.idle": "2023-11-28T11:33:50.355336Z", - "shell.execute_reply": "2023-11-28T11:33:50.354913Z" + "iopub.execute_input": "2023-12-04T18:00:03.936487Z", + "iopub.status.busy": "2023-12-04T18:00:03.935682Z", + "iopub.status.idle": "2023-12-04T18:00:03.943340Z", + "shell.execute_reply": "2023-12-04T18:00:03.942898Z" } }, "outputs": [ @@ -100,10 +100,10 @@ "execution_count": 4, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.358415Z", - "iopub.status.busy": "2023-11-28T11:33:50.357605Z", - "iopub.status.idle": "2023-11-28T11:33:50.361829Z", - "shell.execute_reply": "2023-11-28T11:33:50.361404Z" + "iopub.execute_input": "2023-12-04T18:00:03.946528Z", + "iopub.status.busy": "2023-12-04T18:00:03.945720Z", + "iopub.status.idle": "2023-12-04T18:00:03.950022Z", + "shell.execute_reply": "2023-12-04T18:00:03.949572Z" } }, "outputs": [], @@ -124,10 +124,10 @@ "execution_count": 5, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.364844Z", - "iopub.status.busy": "2023-11-28T11:33:50.364043Z", - "iopub.status.idle": "2023-11-28T11:33:50.369431Z", - "shell.execute_reply": "2023-11-28T11:33:50.369003Z" + "iopub.execute_input": "2023-12-04T18:00:03.953102Z", + "iopub.status.busy": "2023-12-04T18:00:03.952287Z", + "iopub.status.idle": "2023-12-04T18:00:03.957603Z", + "shell.execute_reply": "2023-12-04T18:00:03.957160Z" } }, "outputs": [ @@ -165,10 +165,10 @@ "execution_count": 6, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.372588Z", - "iopub.status.busy": "2023-11-28T11:33:50.371778Z", - "iopub.status.idle": "2023-11-28T11:33:50.375435Z", - "shell.execute_reply": "2023-11-28T11:33:50.374990Z" + "iopub.execute_input": "2023-12-04T18:00:03.960714Z", + "iopub.status.busy": "2023-12-04T18:00:03.959908Z", + "iopub.status.idle": "2023-12-04T18:00:03.963589Z", + "shell.execute_reply": "2023-12-04T18:00:03.963163Z" } }, "outputs": [], @@ -186,10 +186,10 @@ "execution_count": 7, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.378409Z", - "iopub.status.busy": "2023-11-28T11:33:50.377612Z", - "iopub.status.idle": "2023-11-28T11:33:50.382860Z", - "shell.execute_reply": "2023-11-28T11:33:50.382418Z" + "iopub.execute_input": "2023-12-04T18:00:03.966601Z", + "iopub.status.busy": "2023-12-04T18:00:03.965800Z", + "iopub.status.idle": "2023-12-04T18:00:03.971065Z", + "shell.execute_reply": "2023-12-04T18:00:03.970639Z" } }, "outputs": [ @@ -220,10 +220,10 @@ "execution_count": 8, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.385908Z", - "iopub.status.busy": "2023-11-28T11:33:50.385101Z", - "iopub.status.idle": "2023-11-28T11:33:50.388922Z", - "shell.execute_reply": "2023-11-28T11:33:50.388501Z" + "iopub.execute_input": "2023-12-04T18:00:03.974107Z", + "iopub.status.busy": "2023-12-04T18:00:03.973281Z", + "iopub.status.idle": "2023-12-04T18:00:03.977131Z", + "shell.execute_reply": "2023-12-04T18:00:03.976706Z" } }, "outputs": [], @@ -241,10 +241,10 @@ "execution_count": 9, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.391898Z", - "iopub.status.busy": "2023-11-28T11:33:50.391098Z", - "iopub.status.idle": "2023-11-28T11:33:50.396474Z", - "shell.execute_reply": "2023-11-28T11:33:50.396055Z" + "iopub.execute_input": "2023-12-04T18:00:03.981306Z", + "iopub.status.busy": "2023-12-04T18:00:03.980481Z", + "iopub.status.idle": "2023-12-04T18:00:03.985641Z", + "shell.execute_reply": "2023-12-04T18:00:03.985255Z" } }, "outputs": [ @@ -276,10 +276,10 @@ "execution_count": 10, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.398382Z", - "iopub.status.busy": "2023-11-28T11:33:50.398061Z", - "iopub.status.idle": "2023-11-28T11:33:50.401196Z", - "shell.execute_reply": "2023-11-28T11:33:50.400760Z" + "iopub.execute_input": "2023-12-04T18:00:03.987550Z", + "iopub.status.busy": "2023-12-04T18:00:03.987252Z", + "iopub.status.idle": "2023-12-04T18:00:03.990271Z", + "shell.execute_reply": "2023-12-04T18:00:03.989851Z" } }, "outputs": [], @@ -308,10 +308,10 @@ "execution_count": 11, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.402878Z", - "iopub.status.busy": "2023-11-28T11:33:50.402718Z", - "iopub.status.idle": "2023-11-28T11:33:50.405720Z", - "shell.execute_reply": "2023-11-28T11:33:50.405292Z" + "iopub.execute_input": "2023-12-04T18:00:03.991926Z", + "iopub.status.busy": "2023-12-04T18:00:03.991769Z", + "iopub.status.idle": "2023-12-04T18:00:03.994873Z", + "shell.execute_reply": "2023-12-04T18:00:03.994420Z" } }, "outputs": [ @@ -365,10 +365,10 @@ "execution_count": 12, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.407613Z", - "iopub.status.busy": "2023-11-28T11:33:50.407337Z", - "iopub.status.idle": "2023-11-28T11:33:50.410657Z", - "shell.execute_reply": "2023-11-28T11:33:50.410273Z" + "iopub.execute_input": "2023-12-04T18:00:03.996727Z", + "iopub.status.busy": "2023-12-04T18:00:03.996579Z", + "iopub.status.idle": "2023-12-04T18:00:03.999396Z", + "shell.execute_reply": "2023-12-04T18:00:03.998996Z" } }, "outputs": [], @@ -399,10 +399,10 @@ "execution_count": 13, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.412506Z", - "iopub.status.busy": "2023-11-28T11:33:50.412214Z", - "iopub.status.idle": "2023-11-28T11:33:50.414525Z", - "shell.execute_reply": "2023-11-28T11:33:50.414138Z" + "iopub.execute_input": "2023-12-04T18:00:04.001126Z", + "iopub.status.busy": "2023-12-04T18:00:04.000979Z", + "iopub.status.idle": "2023-12-04T18:00:04.003156Z", + "shell.execute_reply": "2023-12-04T18:00:04.002763Z" } }, "outputs": [], @@ -418,10 +418,10 @@ "execution_count": 14, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.416293Z", - "iopub.status.busy": "2023-11-28T11:33:50.416022Z", - "iopub.status.idle": "2023-11-28T11:33:50.419470Z", - "shell.execute_reply": "2023-11-28T11:33:50.419092Z" + "iopub.execute_input": "2023-12-04T18:00:04.004822Z", + "iopub.status.busy": "2023-12-04T18:00:04.004661Z", + "iopub.status.idle": "2023-12-04T18:00:04.007847Z", + "shell.execute_reply": "2023-12-04T18:00:04.007393Z" } }, "outputs": [ @@ -459,10 +459,10 @@ "execution_count": 15, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.421284Z", - "iopub.status.busy": "2023-11-28T11:33:50.421027Z", - "iopub.status.idle": "2023-11-28T11:33:50.424273Z", - "shell.execute_reply": "2023-11-28T11:33:50.423896Z" + "iopub.execute_input": "2023-12-04T18:00:04.009694Z", + "iopub.status.busy": "2023-12-04T18:00:04.009520Z", + "iopub.status.idle": "2023-12-04T18:00:04.012413Z", + "shell.execute_reply": "2023-12-04T18:00:04.011983Z" } }, "outputs": [ @@ -527,10 +527,10 @@ "execution_count": 16, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.426148Z", - "iopub.status.busy": "2023-11-28T11:33:50.425874Z", - "iopub.status.idle": "2023-11-28T11:33:50.429871Z", - "shell.execute_reply": "2023-11-28T11:33:50.429506Z" + "iopub.execute_input": "2023-12-04T18:00:04.014422Z", + "iopub.status.busy": "2023-12-04T18:00:04.014010Z", + "iopub.status.idle": "2023-12-04T18:00:04.017930Z", + "shell.execute_reply": "2023-12-04T18:00:04.017393Z" } }, "outputs": [], @@ -562,10 +562,10 @@ "execution_count": 17, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.431826Z", - "iopub.status.busy": "2023-11-28T11:33:50.431521Z", - "iopub.status.idle": "2023-11-28T11:33:50.434187Z", - "shell.execute_reply": "2023-11-28T11:33:50.433750Z" + "iopub.execute_input": "2023-12-04T18:00:04.019749Z", + "iopub.status.busy": "2023-12-04T18:00:04.019372Z", + "iopub.status.idle": "2023-12-04T18:00:04.022117Z", + "shell.execute_reply": "2023-12-04T18:00:04.021586Z" } }, "outputs": [], @@ -600,10 +600,10 @@ "execution_count": 18, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.436087Z", - "iopub.status.busy": "2023-11-28T11:33:50.435778Z", - "iopub.status.idle": "2023-11-28T11:33:50.438408Z", - "shell.execute_reply": "2023-11-28T11:33:50.437991Z" + "iopub.execute_input": "2023-12-04T18:00:04.023952Z", + "iopub.status.busy": "2023-12-04T18:00:04.023639Z", + "iopub.status.idle": "2023-12-04T18:00:04.026128Z", + "shell.execute_reply": "2023-12-04T18:00:04.025693Z" } }, "outputs": [], @@ -620,10 +620,10 @@ "execution_count": 19, "metadata": { "execution": { - "iopub.execute_input": "2023-11-28T11:33:50.440196Z", - "iopub.status.busy": "2023-11-28T11:33:50.439890Z", - "iopub.status.idle": "2023-11-28T11:33:50.442558Z", - "shell.execute_reply": "2023-11-28T11:33:50.442111Z" + "iopub.execute_input": "2023-12-04T18:00:04.027997Z", + "iopub.status.busy": "2023-12-04T18:00:04.027619Z", + "iopub.status.idle": "2023-12-04T18:00:04.030210Z", + "shell.execute_reply": "2023-12-04T18:00:04.029810Z" } }, "outputs": [], @@ -639,10 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54, 55, 56, 59, 60, 61], "commerci": [2, 28], "licensor": 2, "cannot": [2, 7, 11, 24, 25, 33, 37, 41, 43, 54, 55, 57, 61], "revok": 2, "freedom": 2, "long": [2, 3, 16, 17, 19, 20, 32, 36, 43, 46, 47, 48, 51, 54, 59, 60, 61], "term": [2, 19, 24, 44, 54, 59], "must": [2, 4, 20, 24, 25, 28, 36, 37, 38, 40, 41, 42, 43, 50, 53, 54, 55, 56, 58, 61], "give": [2, 4, 5, 6, 7, 10, 15, 23, 24, 25, 31, 37, 38, 41, 42, 43, 44, 48, 54, 56, 57, 58, 59, 61], "credit": [2, 46], "provid": [2, 4, 5, 6, 10, 11, 12, 14, 15, 22, 24, 26, 28, 38, 40, 42, 43, 50, 51, 53, 54, 55, 56, 58, 59, 60, 61], "link": [2, 22, 23, 24, 27, 31, 49, 54, 59], "indic": [2, 22, 33, 37, 41, 48, 54, 55, 56], "were": [2, 6, 13, 20, 21, 22, 23, 25, 26, 42, 56, 57, 58, 59, 61], "reason": [2, 11, 13, 17, 19, 22, 27, 41, 44, 48, 53, 58, 61], "manner": [2, 37], "endors": 2, "No": [2, 4, 6, 7, 11, 36, 42, 53, 54, 55, 57], "addit": [2, 5, 19, 22, 24, 25, 26, 31, 33, 37, 43, 45, 49, 53, 54, 55, 56, 57, 58, 60, 61], "restrict": [2, 6, 22, 28, 37, 41, 43, 59], "appli": [2, 5, 7, 10, 12, 14, 15, 20, 28, 31, 34, 42, 54, 57], "technolog": 2, "measur": [2, 6, 11, 12, 57, 60, 61], "anyth": [2, 4, 12, 19, 24, 25, 27, 30, 32, 37, 41, 42, 46, 47, 54, 55, 56, 57, 58, 61], "permit": 2, "notic": [2, 18, 19, 20, 21, 33, 43, 48, 53, 54, 55, 59, 61], "compli": 2, "element": [2, 4, 33, 41, 42, 43, 54, 55, 57], "domain": 2, "where": [2, 3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 22, 24, 25, 26, 27, 33, 34, 35, 41, 42, 43, 44, 46, 48, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "applic": [2, 3, 9, 11, 54], "except": [2, 5, 6, 12, 15, 21, 22, 24, 31, 43, 46, 54, 55, 56], "limit": [2, 10, 12, 13, 16, 19, 24, 31, 54, 57, 59], "warranti": 2, "given": [2, 4, 8, 11, 12, 13, 19, 20, 21, 24, 25, 27, 35, 41, 42, 43, 44, 53, 54, 55, 56, 57, 58, 59, 61], "permiss": [2, 6, 23, 24, 28, 53, 54, 59], "necessari": [2, 25, 41, 43, 54, 60], "intend": [2, 30, 46], "For": [2, 4, 5, 6, 7, 9, 11, 12, 16, 17, 19, 21, 23, 27, 31, 33, 35, 36, 38, 41, 42, 43, 44, 45, 46, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "privaci": 2, "moral": 2, "how": [2, 3, 4, 6, 7, 8, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 34, 37, 40, 41, 42, 43, 44, 45, 47, 48, 53, 54, 55, 57, 58, 59, 60, 61], "note": [2, 3, 4, 6, 12, 17, 18, 19, 22, 23, 24, 25, 31, 36, 37, 41, 42, 43, 46, 50, 52, 54, 55, 56, 57, 58, 59, 60, 61], "program": [2, 4, 17, 19, 21, 27, 31, 32, 34, 35, 37, 40, 43, 45, 46, 47, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60], "carpentri": [2, 16, 17, 18, 19, 20, 21, 22, 23, 25, 27, 28, 29, 49, 54, 55, 56, 57, 58, 59, 60], "osi": 2, "approv": [2, 28], "mit": 2, "herebi": [2, 24, 35], "grant": [2, 28], "charg": [2, 14, 30], "obtain": [2, 6, 9, 10, 11, 12, 13, 15, 27, 32, 47, 50, 59], "deal": [2, 10, 16, 45, 56], "without": [2, 3, 5, 6, 9, 10, 11, 13, 14, 19, 20, 21, 22, 23, 24, 25, 26, 28, 32, 35, 38, 41, 43, 44, 47, 48, 50, 54, 55, 56, 57, 58, 59, 61], "modifi": [2, 19, 20, 21, 24, 25, 26, 27, 30, 32, 38, 41, 43, 47, 48, 53, 57, 58, 59, 61], "distribut": [2, 7, 12, 15, 16, 24, 27, 28, 30, 31, 38, 39, 43, 46, 61], "sublicens": 2, "sell": 2, "whom": 2, "furnish": 2, "subject": [2, 13, 61], "condit": [2, 12, 13, 28, 31, 34, 43, 49], "abov": [2, 3, 4, 5, 6, 8, 11, 13, 15, 17, 18, 20, 23, 25, 27, 31, 33, 35, 38, 41, 42, 43, 46, 51, 53, 54, 55, 57, 59, 61], "copyright": [2, 28, 46], "shall": [2, 13], "substanti": [2, 61], "portion": [2, 19], "THE": 2, "AS": 2, "OF": 2, "OR": [2, 12], "impli": [2, 54], "BUT": 2, "NOT": [2, 4, 35], "TO": 2, "merchant": 2, "fit": [2, 7, 8, 9, 10, 11, 12, 14, 15, 19, 31, 34, 39], "FOR": 2, "A": [2, 3, 4, 5, 7, 10, 11, 13, 16, 20, 22, 23, 24, 25, 26, 27, 28, 33, 35, 37, 38, 39, 41, 42, 46, 48, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61], "particular": [2, 13, 16, 19, 22, 26, 34, 36, 43, 53, 55, 59], "AND": [2, 12, 13], "noninfring": 2, "IN": 2, "NO": 2, "event": [2, 6, 7, 11, 15, 38, 58], "author": [2, 10, 16, 19, 20, 24, 25, 29, 54], "holder": [2, 28], "BE": 2, "liabl": 2, "claim": [2, 61], "damag": 2, "liabil": 2, "whether": [2, 4, 7, 24, 28, 33, 36, 37, 43, 53, 57, 61], "action": [2, 4, 25, 32, 38, 41, 47, 61], "contract": [2, 59], "tort": 2, "aris": [2, 57], "out": [2, 3, 4, 5, 6, 7, 11, 15, 19, 20, 21, 22, 23, 24, 25, 27, 28, 32, 33, 38, 40, 41, 42, 43, 45, 46, 47, 50, 51, 52, 54, 56, 58, 59, 60, 61], "connect": [2, 3, 22, 24, 35, 51, 52, 54, 56], "WITH": 2, "advanc": [3, 6, 7, 9, 11, 12, 31, 33, 34, 49, 59], "python": [3, 5, 6, 7, 9, 10, 11, 12, 14, 20, 26, 28, 31, 32, 35, 36, 37, 38, 41, 42, 44, 45, 47, 48, 61], "tutori": [3, 4, 5, 6, 14, 30, 31, 33, 53, 54], "cover": [3, 4, 6, 15, 19, 21, 33, 35, 49, 54, 55, 60], "skill": [3, 60], "tip": [3, 22, 25, 55], "load": [3, 4, 7, 8, 10, 14, 15, 31, 43, 51, 61], "data": [3, 7, 8, 10, 12, 13, 14, 15, 21, 27, 31, 34, 37, 38, 41, 53, 54, 55, 56, 57, 58, 59, 60, 61], "plot": [3, 8, 9, 11, 13, 14, 15, 21, 26, 31, 34], "matplotlib": [3, 6, 7, 8, 9, 10, 11, 12, 13, 26, 31, 38, 39, 43], "cut": [3, 7, 8, 10, 12, 13, 14, 15, 31, 34, 56, 58, 59], "base": [3, 7, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 31, 35, 38, 39, 43, 54, 55, 56, 57, 58, 59, 60, 61], "selction": 3, "multivari": [3, 11, 15, 31], "analysi": [3, 10, 12, 13, 14, 15, 21, 27, 34, 38, 48, 55, 56, 57, 58], "scikit": [3, 6, 7, 8, 10, 15, 31], "learn": [3, 7, 8, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 34, 51, 54, 55, 56, 57, 58, 59, 60, 61], "uboost": [3, 9], "hep_ml": [3, 9, 11, 13, 31], "neural": [3, 15], "network": [3, 15], "demo": [3, 60], "mutivari": 3, "kinemat": 3, "reweight": [3, 15, 31], "splot": [3, 11, 15, 31], "techniqu": [3, 7, 8, 13, 15, 41, 57, 59], "mutabl": [3, 4, 7, 31, 34, 37, 41, 42], "immut": [3, 33, 37, 48], "object": [3, 4, 5, 6, 7, 10, 12, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 46, 48, 51, 54, 55, 56, 57, 58, 59, 60, 61], "dictionari": [3, 6, 10, 31, 33, 34, 36, 40, 42, 61], "comprehens": [3, 31, 34, 36, 37, 42, 54, 56, 58, 59, 61], "notebook": [3, 7, 9, 12, 13, 14, 15, 27, 28, 31, 33, 38, 46], "moduel": 3, "let": [3, 4, 5, 6, 7, 8, 10, 11, 13, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25, 32, 33, 34, 35, 41, 42, 43, 44, 46, 47, 51, 53, 54, 55, 56, 58, 59, 61], "compar": [3, 7, 9, 15, 17, 19, 20, 23, 24, 31, 33, 36, 37, 38, 45, 53, 58, 60], "string": [3, 4, 5, 14, 20, 22, 25, 31, 33, 34, 36, 37, 41, 42, 52, 53, 54, 58, 59, 61], "tupl": [3, 31, 33, 34, 36, 37, 42, 61], "what": [3, 4, 5, 6, 7, 8, 10, 14, 15, 16, 17, 19, 20, 21, 22, 23, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60], "happen": [3, 5, 8, 15, 16, 19, 20, 22, 25, 34, 37, 41, 42, 43, 44, 46, 51, 53, 54, 55, 56, 57, 58, 59, 61], "run": [3, 4, 9, 12, 17, 18, 19, 20, 22, 23, 24, 26, 31, 32, 33, 34, 36, 37, 38, 41, 42, 47, 49, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60], "b": [3, 4, 5, 7, 8, 13, 14, 19, 20, 21, 33, 37, 38, 41, 42, 44, 48, 50, 51, 53, 54, 56, 57, 58, 61], "c": [3, 4, 12, 13, 17, 21, 26, 33, 34, 36, 37, 38, 41, 42, 43, 48, 52, 54, 55, 56, 57, 59, 61], "hello": [3, 4, 5, 33, 41, 53, 56, 57, 59], "print": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 19, 20, 24, 25, 32, 33, 36, 37, 38, 40, 41, 42, 43, 46, 47, 48, 52, 53, 54, 56, 57, 58, 59, 60, 61], "39": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 33], "2": [3, 4, 5, 7, 8, 9, 10, 11, 12, 13, 14, 15, 19, 20, 22, 23, 24, 25, 31, 32, 33, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 51, 53, 54, 56, 57, 58, 59, 60], "3": [3, 4, 5, 6, 8, 9, 10, 11, 12, 13, 14, 15, 17, 19, 20, 23, 24, 25, 31, 33, 35, 36, 37, 38, 41, 42, 43, 44, 45, 46, 48, 51, 54, 56, 57, 58, 59], "foo": [3, 33, 40, 42, 61], "bar": [3, 7, 13, 19, 23, 40, 42, 52, 56, 61], "n": [3, 10, 13, 15, 17, 19, 31, 33, 37, 48, 52, 53, 54, 56, 57, 58, 59, 61], "10": [3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 19, 20, 24, 25, 31, 33, 35, 38, 40, 41, 42, 44, 46, 48, 51, 52, 54, 56, 58, 59, 61], "list_of_squar": [3, 33], "rang": [3, 6, 7, 8, 11, 12, 13, 14, 33, 37, 41, 42, 43, 58, 60, 61], "sum_of_squar": [3, 33], "sum": [3, 7, 11, 13, 33, 41, 42], "squar": [3, 7, 8, 9, 33, 41, 42], "285": [3, 33], "5": [3, 4, 5, 7, 8, 10, 11, 12, 13, 14, 15, 16, 25, 31, 33, 35, 36, 37, 38, 40, 41, 42, 44, 45, 46, 53, 54, 55, 56, 57, 58, 59], "9": [3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 22, 31, 33, 35, 38, 41, 46, 56, 58, 59], "16": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 33, 35, 38, 41, 45, 46, 51, 58], "25": [3, 4, 5, 6, 7, 10, 12, 13, 33, 37, 38, 46, 57, 59, 61], "6": [3, 4, 5, 7, 8, 9, 11, 12, 13, 14, 15, 22, 25, 31, 33, 35, 38, 41, 42, 46, 48, 56, 59], "36": [3, 4, 33, 51], "7": [3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 15, 26, 31, 32, 33, 35, 37, 38, 41, 43, 46, 47, 54, 58, 59], "49": [3, 4, 11, 33], "8": [3, 4, 5, 6, 7, 8, 9, 10, 11, 13, 14, 15, 24, 25, 31, 33, 35, 38, 41, 42, 46, 48, 54, 56, 59], "64": [3, 6, 11, 17, 33, 42, 61], "81": [3, 12, 33, 41, 57], "inlin": [3, 11, 31, 33, 34], "latex": [3, 6, 7, 26, 33], "frac": [3, 7, 8, 11, 12, 13, 33], "show": [3, 6, 7, 12, 13, 18, 19, 20, 22, 23, 24, 25, 32, 33, 36, 38, 42, 43, 46, 47, 51, 53, 54, 55, 56, 57, 58, 59], "wonder": [3, 33], "syntax": [3, 6, 33, 36, 41, 42, 43, 45, 48, 51, 53, 56, 59, 61], "highlight": [3, 19, 25, 33, 41], "sad": [3, 33], "grei": [3, 7, 8, 9, 33], "world": [3, 4, 22, 33, 40, 46, 53, 59], "iostream": [3, 33], "std": [3, 33], "cout": [3, 33], "endl": [3, 33], "bash": [3, 19, 31, 33, 38, 46, 49, 50, 54, 56, 57, 58, 59, 60, 61], "echo": [3, 24, 25, 26, 33, 53, 56, 57, 58, 59, 61], "f": [3, 4, 5, 7, 8, 9, 10, 12, 13, 20, 21, 31, 32, 33, 35, 38, 43, 48, 50, 52, 53, 54, 55, 56, 58, 59, 61], "pt_cut": [3, 33], "1789": [3, 33], "234567890987654": [3, 33], "eta_low": [3, 33], "eta_high": [3, 33], "cut_str": [3, 33], "pt": [3, 6, 14, 33, 51], "2f": [3, 7, 8, 9, 33], "eta": [3, 6, 10, 14, 33], "gt": [3, 4, 5, 6, 7, 8, 10, 12, 13, 14, 33, 53], "23": [3, 4, 5, 6, 7, 10, 12, 13, 33, 38, 46, 56], "amp": [3, 33], "lt": [3, 5, 6, 7, 8, 10, 12, 13, 14, 33, 53, 54], "veri": [3, 4, 8, 11, 13, 19, 20, 21, 22, 24, 25, 26, 30, 37, 38, 40, 41, 42, 46, 51, 52, 53, 54, 55, 56, 59, 61], "try": [3, 4, 5, 6, 7, 13, 18, 19, 20, 22, 24, 25, 27, 28, 32, 38, 40, 41, 42, 43, 45, 47, 51, 53, 54, 55, 56, 57, 59, 61], "faster": [3, 7, 8, 31, 37, 54], "cell": [3, 4, 7, 33, 46, 59], "return": [3, 4, 5, 6, 7, 10, 12, 13, 17, 18, 26, 32, 33, 35, 37, 40, 41, 42, 43, 44, 47, 48, 53, 54, 55, 56, 57, 58, 59, 60, 61], "valu": [3, 5, 6, 7, 8, 9, 10, 11, 12, 13, 15, 31, 32, 33, 34, 36, 37, 40, 41, 42, 43, 45, 46, 47, 48, 53, 57, 58, 59], "which": [3, 4, 5, 6, 7, 8, 10, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 24, 25, 26, 27, 28, 30, 31, 32, 33, 34, 35, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "shown": [3, 18, 19, 32, 38, 47, 55, 59], "after": [3, 4, 7, 13, 15, 19, 20, 21, 24, 25, 30, 31, 32, 41, 42, 43, 47, 51, 53, 54, 55, 56, 57, 58, 60, 61], "finish": [3, 4, 19, 25, 32, 47, 48, 56, 57, 59, 61], "rune": 3, "none": [3, 4, 5, 7, 8, 9, 10, 12, 13, 21, 35, 36, 42, 48, 54, 57, 58, 59, 61], "starterkitt": 3, "shell": [3, 19, 22, 31, 32, 40, 43, 44, 46, 47, 50, 52, 54, 55, 56, 57, 59, 61], "command": [3, 10, 17, 18, 19, 20, 22, 23, 24, 25, 26, 31, 32, 33, 34, 38, 40, 42, 43, 46, 47, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 61], "l": [3, 6, 12, 13, 18, 19, 25, 26, 37, 38, 40, 42, 46, 51, 53, 54, 55, 56, 57, 58, 59, 61], "10basic": 3, "ipynb": 3, "40histogram": 3, "11advancedpython": 3, "45demoreweight": 3, "12advancedclass": 3, "50likelihoodinfer": 3, "20dataandplot": 3, "60splot": 3, "30classif": 3, "70scikithepunivers": 3, "31classificationextens": 3, "readm": [3, 24], "md": [3, 59], "32boostingtouniform": 3, "11": [3, 4, 5, 6, 7, 10, 11, 12, 13, 14, 15, 31, 33, 35, 38, 44, 46, 51, 54, 56, 57, 58, 59, 61], "wget": [3, 31, 60, 61], "com": [3, 16, 19, 25, 28, 30, 31, 53, 61], "index": [3, 4, 6, 10, 13, 15, 19, 20, 31, 33, 37, 41, 43, 54, 61], "html": [3, 6, 7, 8, 12, 42], "2023": 3, "28": [3, 4, 6, 7, 10, 13, 33, 35, 46], 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47, 48, 53, 54, 55, 56, 57, 58, 59, 60, 61], "detail": [4, 5, 19, 24, 25, 26, 31, 38, 43, 46, 52], "power": [4, 7, 9, 11, 12, 15, 16, 35, 40, 41, 42, 53, 54, 55, 56, 58, 59, 60, 61], "offer": [4, 10, 22, 28, 33], "usus": 4, "enough": [4, 5, 19, 31, 50, 54, 55, 56, 58, 59], "prefer": [4, 5, 13, 17, 31, 38, 40, 42, 43, 56, 61], "doesn": [4, 6, 15, 19, 22, 27, 31, 32, 36, 41, 47, 52, 54, 55, 56, 57, 58, 59, 61], "t": [4, 5, 6, 7, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 31, 32, 35, 36, 37, 38, 40, 41, 42, 46, 47, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "flexibl": [4, 8, 55, 58], "rememb": [4, 13, 17, 19, 20, 22, 24, 42, 51, 52, 53, 54, 57, 58, 61], "figur": [4, 6, 7, 8, 9, 11, 13, 22, 38, 42, 54, 58, 60, 61], "fulli": [4, 10, 35, 46], "hand": [4, 20, 23, 24, 25, 27, 33, 37, 41, 56, 59, 60], "programat": 4, "pattern": [4, 15, 21, 54, 57, 59], "achiev": [4, 6, 9, 13, 24, 36, 55, 59], "integ": [4, 10, 33, 37, 44, 53, 54], "everyth": [4, 5, 13, 15, 18, 19, 20, 21, 22, 25, 30, 31, 32, 35, 36, 38, 43, 46, 47, 54, 55, 56, 57, 59], "make_power_func": 4, "pow3": 4, "26": [4, 5, 7, 10, 12, 13, 33, 38, 46, 51, 56, 61], "4398046511104": 4, "27": [4, 5, 7, 10, 13, 33, 38, 42, 46, 54], "test": [4, 6, 8, 12, 15, 21, 22, 26, 30, 31, 35, 37, 43, 50, 53, 55, 56, 59], "anoth": [4, 6, 7, 11, 12, 15, 17, 18, 19, 20, 22, 23, 25, 28, 33, 34, 36, 37, 38, 41, 42, 43, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "wrapper": [4, 9, 45], "timed_pow3": 4, "fime_func": 4, "hint": [4, 11, 20, 21, 25, 35, 54, 56, 59, 61], "scetch": 4, "time_func": 4, "new_func": 4, "timed_func": 4, "wrapped_func": 4, "29": [4, 7, 10, 13, 33, 41, 46], "add_notim": 4, "30": [4, 6, 7, 10, 11, 12, 13, 15, 26, 33, 35, 41, 46, 56, 57, 58, 60, 61], "add_tim": 4, "32": [4, 13, 15, 17, 33, 51], "430511474609375e": 4, "06": [4, 12, 56, 58, 59, 61], "33": [4, 15, 33, 43], "syntact": [4, 41], "sugar": [4, 31, 34], "argument": [4, 5, 6, 13, 14, 22, 32, 33, 34, 35, 40, 41, 42, 47, 48, 50, 51, 53, 54, 55, 56, 57, 58, 59, 61], "certain": [4, 6, 7, 10, 12, 24, 33, 35, 40, 41, 43, 45, 48, 53, 59], "surfac": [4, 25], "higher": [4, 12, 16, 38], "stack": [4, 13, 40, 46, 61], "typic": [4, 6, 7, 11, 13, 25, 26, 38, 42, 43, 51, 54, 56, 61], "encount": [4, 7, 8, 35, 40, 43], "wrong": [4, 7, 11, 18, 20, 35, 40, 53, 55, 57, 58, 59, 61], "type": [4, 5, 6, 10, 13, 17, 19, 20, 21, 31, 34, 35, 36, 37, 40, 42, 43, 44, 45, 46, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60, 61], "caught": 4, "block": [4, 36, 41, 42, 43, 45, 46, 54, 57], "order": [4, 6, 7, 8, 10, 11, 12, 13, 15, 19, 21, 25, 26, 31, 36, 37, 38, 40, 41, 42, 50, 52, 54, 55, 56, 57, 58, 59, 60, 61], "handl": [4, 11, 30, 32, 47, 51, 58, 59, 60, 61], "built": [4, 6, 9, 10, 12, 19, 26, 37, 38, 42, 53, 54, 55, 58, 61], "typeerror": [4, 5, 33, 37, 41, 42], "float": [4, 11, 12, 13, 14, 33, 44], "valueerror": [4, 61], "illeg": 4, "neg": [4, 11, 13, 41, 59], "posit": [4, 7, 8, 9, 13, 21, 32, 41, 42, 47, 48, 56, 59], "runtimeerror": 4, "statu": [4, 18, 19, 20, 21, 24, 25, 26, 52, 54, 61], "pars": [4, 14, 43], "fall": [4, 5], "categori": [4, 7, 43], "keyerror": [4, 33], "indexerror": [4, 33, 41], "rais": [4, 5, 33, 61], "35": [4, 10, 33], "int": [4, 33, 40, 42, 44, 45], "str": [4, 15, 31, 33, 36, 42, 43, 48, 61], "often": [4, 5, 6, 7, 8, 10, 15, 20, 22, 26, 27, 28, 36, 38, 40, 42, 51, 57, 59, 60, 61], "conveni": [4, 6, 25, 33, 46, 56, 57], "messag": [4, 6, 12, 19, 20, 22, 24, 25, 32, 43, 47, 54, 55, 56, 57], "And": [4, 5, 6, 11, 13, 17, 23, 32, 35, 37, 47, 48, 53, 54, 56, 59], "inherit": [4, 10, 31, 34], "attent": [4, 11, 12, 24], "subclass": 4, "never": [4, 5, 31, 36, 41, 42, 45, 48, 54], "baseexcept": 4, "37": [4, 33, 57], "myerror": 4, "pass": [4, 5, 10, 13, 14, 27, 32, 42, 43, 47, 48, 50, 53, 54, 56, 57, 58, 59, 61], "38": [4, 5, 6, 33], "alreadi": [4, 6, 7, 10, 13, 19, 21, 22, 24, 25, 27, 28, 31, 33, 34, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 48, 52, 53, 55, 56, 61], "natur": [4, 24, 27, 36, 54], "negativevalueerror": 4, "next": [4, 5, 6, 13, 16, 19, 20, 21, 22, 23, 24, 33, 35, 36, 45, 46, 54, 57, 58, 60], "specifi": [4, 10, 12, 19, 26, 32, 35, 36, 37, 38, 41, 42, 43, 47, 48, 50, 53, 54, 55, 56, 59, 61], "check": [4, 5, 11, 12, 13, 17, 18, 19, 20, 22, 24, 25, 26, 27, 36, 51, 52, 53, 54, 55, 57, 58, 60, 61], "goe": [4, 6, 7, 11, 20, 53, 54, 56, 57, 60], "ye": [4, 5, 7, 33, 40, 41, 52, 54, 55, 61], "40": [4, 6, 9, 13, 14, 20, 33, 35, 41, 57], "keyword": [4, 6, 26, 40, 41, 42, 43, 53, 57], "inspect": [4, 32, 47, 53, 54, 55], "41": [4, 6, 33, 35, 41], "anti": 4, "gener": [4, 6, 7, 8, 12, 13, 15, 19, 24, 26, 33, 35, 38, 40, 41, 42, 43, 46, 50, 51, 54, 55, 56, 57, 61], "unfortun": [4, 20, 24], "caugth": 4, "43": [4, 33, 41, 42], "therefor": [4, 12, 18, 20, 24, 50, 58], "temporari": [4, 40, 54, 56, 61], "44": [4, 33, 42, 51], "guaranti": 4, "could": [4, 6, 7, 8, 20, 21, 22, 25, 28, 31, 32, 35, 36, 37, 38, 41, 42, 45, 47, 50, 53, 54, 55, 56, 58, 61], "omit": [4, 5, 41, 54], "45": [4, 15, 33, 41, 42, 46], "odd": [4, 35, 57], "effect": [4, 6, 7, 19, 20, 22, 33, 36, 38, 40, 41, 42, 43, 54, 55, 56, 57, 58], "ignor": [4, 6, 13, 18, 24, 30, 31, 54, 58, 59, 61], "IF": [4, 5], "logic": [4, 19, 25, 42], "46": [4, 19, 33, 60], "clean": [4, 6, 19, 21, 22, 24, 40, 58], "47": [4, 33], "elif": [4, 36, 53], "replac": [4, 20, 23, 24, 25, 35, 41, 42, 48, 53, 54, 57, 58, 59, 61], "golden": [4, 42], "steer": 4, "consid": [4, 6, 7, 12, 16, 19, 20, 25, 53, 54, 56, 58, 60, 61], "three": [4, 6, 22, 23, 24, 26, 38, 41, 42, 43, 48, 50, 53, 54, 55, 56, 57, 59, 61], "sake": [4, 54, 55], "favor": 4, "real": [4, 5, 6, 7, 8, 11, 15, 20, 24, 28, 31, 42, 43, 44, 53, 59], "larger": [4, 24, 53, 59], "scale": [4, 6, 7, 13, 54, 61], "too": [4, 6, 7, 19, 20, 21, 24, 28, 36, 40, 43, 54, 55, 56, 58, 59], "complic": [4, 5, 7, 23, 24, 27, 28, 40, 41, 51, 54, 55, 57, 58, 61], "explain": [4, 5, 13, 17, 19, 20, 21, 22, 24, 25, 27, 28, 29, 42, 44, 53, 54, 56, 57, 58, 59, 60, 61], "assum": [4, 6, 8, 13, 38, 41, 54, 55, 56, 57, 58, 59, 61], "third": [4, 19, 41, 42, 55, 56, 59], "solv": [4, 7, 13, 21, 25, 28, 34, 35, 40, 57, 59, 61], "deeper": [4, 16], "nest": [4, 5, 18, 21, 36, 41, 56, 57], "don": [4, 6, 7, 11, 12, 15, 19, 20, 21, 22, 24, 25, 28, 32, 35, 36, 37, 38, 40, 41, 42, 46, 47, 53, 54, 55, 56, 57, 58, 59, 61], "output": [4, 7, 8, 9, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 41, 42, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "48": [4, 33, 51], "50": [4, 6, 10, 11, 13, 15, 19, 20, 24, 33, 35], "result": [4, 7, 8, 11, 12, 13, 14, 15, 21, 25, 27, 32, 36, 42, 44, 45, 46, 47, 48, 54, 55, 56, 57, 59, 60, 61], "focus": [5, 59], "invoc": [5, 54], "demystifi": 5, "oubl": 5, "score": [5, 7, 11], "__meth__": [5, 15], "reserv": 5, "invent": 5, "precis": [5, 6, 33, 38], "__meth": 5, "fine": 5, "These": [5, 7, 15, 16, 20, 21, 26, 33, 38, 51, 54, 60, 61], "deleg": 5, "correspond": [5, 6, 13, 19, 22, 24, 25, 36, 37, 44, 45, 48, 56, 60], "__add__": [5, 35, 45], "notimpl": 5, "altern": [5, 6, 7, 12, 15, 31, 46, 59, 61], "tri": [5, 25, 40, 54], "__radd__": 5, "ight": 5, "differ": [5, 7, 8, 10, 11, 13, 14, 15, 16, 17, 19, 20, 22, 23, 24, 25, 27, 28, 31, 33, 37, 38, 41, 42, 43, 44, 45, 48, 49, 50, 51, 52, 54, 55, 56, 57, 58, 59, 60, 61], "namedvalu": 5, "valueleft": 5, "valueright": 5, "radd": 5, "think": [5, 13, 16, 19, 20, 21, 22, 24, 37, 40, 41, 54, 56, 57, 58, 59], "valleft": 5, "val": 5, "valleft2": 5, "left2": 5, "__len__": [5, 15], "nice": [5, 7, 19, 31, 32, 34, 35, 36, 38, 41, 42, 47, 48, 61], "represent": [5, 7, 37], "__str__": 5, "similar": [5, 6, 19, 20, 22, 25, 33, 37, 38, 41, 42, 46, 50, 51, 53, 54, 57, 59, 60, 61], "__repr__": 5, "target": [5, 9, 15, 31, 55, 57], "toward": [5, 15, 44, 56], "develop": [5, 26, 28, 31, 42, 58], "namerepr": 5, "namestr": 5, "am": [5, 41], "namestrrepr": 5, "repr": 5, "mean": [5, 6, 7, 11, 12, 13, 16, 17, 19, 20, 22, 24, 27, 30, 33, 34, 35, 36, 37, 41, 42, 43, 45, 46, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "attach": [5, 42, 43, 44, 45, 48, 50, 51], "behind": [5, 7, 23, 24, 25, 27, 28, 45, 56], "__call__": 5, "notcal": 5, "noncal": 5, "down": [5, 19, 20, 25, 26, 31, 33, 34, 42, 44, 52, 53, 54, 55, 61], "won": [5, 12, 13, 19, 23, 25, 36, 41, 57, 59, 61], "rather": [5, 6, 11, 19, 20, 22, 23, 24, 36, 52, 54, 55, 56, 57, 58, 59, 60], "normal": [5, 7, 8, 10, 12, 13, 27, 33, 35, 38, 42, 43, 45, 52, 54, 56, 57, 59], "That": [5, 6, 7, 14, 19, 20, 35, 38, 41, 56, 57], "control": [5, 6, 15, 18, 21, 22, 23, 24, 25, 26, 27, 30, 31, 33, 54, 55, 61], "__getitem__": 5, "__setitem__": 5, "storag": [5, 10, 19, 26, 55, 56], "contain": [5, 6, 7, 9, 11, 12, 13, 14, 15, 19, 22, 24, 25, 26, 27, 31, 34, 36, 37, 38, 41, 42, 43, 45, 48, 53, 54, 55, 56, 57, 58, 59, 61], "demonstr": [5, 7, 8, 9, 12, 13, 15, 31, 44, 54, 57, 60], "getitem": 5, "setitem": 5, "renam": [5, 25, 40, 43, 54, 55], "well": [5, 6, 10, 11, 12, 13, 14, 15, 20, 22, 24, 27, 33, 35, 37, 40, 42, 48, 53, 55, 56, 57, 59], "fullstop": 5, "consequ": 5, "latter": [5, 6, 10, 11, 12, 33, 38, 43, 53, 54, 59], "why": [5, 6, 13, 18, 19, 20, 21, 22, 23, 24, 26, 27, 28, 31, 35, 36, 53, 54, 55, 56, 57, 58, 59], "dynam": [5, 24, 31, 34, 35], "complet": [5, 6, 11, 16, 24, 25, 26, 33, 35, 46, 53, 54, 57, 58, 60, 61], "sens": [5, 36, 41], "fun": [5, 41], "live": [5, 61], "realli": [5, 7, 11, 20, 21, 22, 33, 37, 41, 43, 55, 60, 61], "least": [5, 24, 30, 34, 36, 37, 44, 55, 56, 57, 61], "independ": [5, 6, 8, 13, 16, 24, 38, 61], "colleagu": [5, 19, 20, 27, 40, 54, 56, 58], "quiz": 5, "did": [5, 7, 12, 15, 16, 19, 24, 27, 33, 35, 41, 43, 55, 56, 58, 59, 61], "access": [5, 6, 12, 14, 15, 17, 22, 23, 27, 31, 32, 33, 35, 36, 37, 38, 40, 41, 42, 43, 45, 46, 47, 50, 53, 54, 55, 60, 61], "guess": [5, 7, 20, 55], "overrid": [5, 21, 35, 42], "store": [5, 6, 7, 8, 10, 12, 18, 19, 20, 25, 26, 27, 33, 41, 45, 48, 54, 58, 59, 60], "__dict__": 5, "remark": [5, 42], "__class__": 5, "mappingproxi": 5, "__module__": 5, "__main__": [5, 35, 42, 43], "__weakref__": 5, "__doc__": 5, "But": [5, 13, 18, 19, 20, 25, 32, 33, 35, 41, 42, 43, 47, 48, 53, 54, 60], "occur": [5, 19, 22, 25, 44], "realiti": [5, 27], "disclaim": 5, "extrem": [5, 35], "bad": [5, 7, 13, 18, 56, 60, 61], "getandset": 5, "__getattr__": [5, 15], "__setattr__": 5, "game": [5, 33], "same": [5, 6, 7, 8, 10, 11, 12, 13, 16, 17, 19, 20, 21, 22, 23, 24, 25, 26, 27, 32, 33, 36, 37, 41, 42, 43, 44, 45, 46, 47, 48, 50, 51, 53, 54, 55, 56, 57, 58, 59, 61], "provok": 5, "getattr": 5, "setattr": 5, "hi": [5, 17, 18, 25, 33], "becaus": [5, 8, 13, 17, 19, 20, 21, 22, 23, 25, 28, 32, 33, 34, 35, 36, 41, 42, 44, 45, 47, 48, 52, 54, 55, 56, 57, 58, 59, 60, 61], "explicit": [5, 33, 36, 61], "zen": [5, 40], "tim": 5, "peter": 5, "beauti": [5, 14, 20, 41], "ugli": [5, 48], "implicit": [5, 33, 42], "simpl": [5, 7, 10, 15, 24, 26, 31, 32, 35, 36, 42, 46, 47, 50, 53, 56, 57, 59, 60, 61], "complex": [5, 10, 15, 31, 33, 42, 44, 49, 55, 56, 58, 59, 60], "flat": [5, 9], "spars": 5, "dens": 5, "count": [5, 6, 10, 12, 13, 22, 23, 24, 25, 56, 58, 59, 61], "aren": [5, 16, 40, 41, 55], "although": [5, 35, 60], "beat": 5, "puriti": 5, "silent": [5, 43, 55, 56], "unless": [5, 16, 22, 34, 36, 54, 56, 61], "explicitli": [5, 6, 12, 14, 19, 24, 33, 35, 36, 41, 42, 43, 44, 54, 61], "silenc": 5, "face": 5, "ambigu": [5, 20], "refus": 5, "temptat": 5, "obviou": [5, 22, 40, 42, 61], "dutch": 5, "hard": [5, 6, 8, 20, 24, 42, 54, 56, 57, 59, 61], "namespac": [5, 43], "honk": 5, "those": [5, 6, 11, 13, 16, 19, 20, 22, 24, 25, 36, 37, 42, 43, 44, 45, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "sentenc": [5, 20, 34, 48, 53], "adult": 5, "behav": [5, 24, 36, 37, 43, 44, 56], "simul": [6, 8, 11, 12], "j": [6, 7, 12, 13, 33, 44, 53, 54], "psi": [6, 7, 12], "rightarrow": [6, 38], "mu": [6, 12, 13], "mplhep": [6, 7, 8, 12, 13, 15], "hep": [6, 7, 10, 11, 12, 15, 31, 61], "organis": [6, 53], "collect": [6, 10, 14, 26, 27, 36, 37, 40, 41, 43, 54, 60], "still": [6, 12, 13, 19, 22, 25, 35, 50, 51, 55, 56, 57, 58, 59, 60, 61], "high": [6, 10, 11, 12, 13, 14, 31, 34, 40, 60], "energi": [6, 10, 13, 31, 34, 40], "physic": [6, 9, 10, 11, 12, 13, 14, 15, 31, 34, 40, 54], "mimic": 6, "top": [6, 7, 10, 13, 22, 23, 24, 32, 36, 38, 47, 54, 56, 58], "pure": [6, 12, 13, 15], "cumbersom": [6, 35], "uproot": [6, 7, 9, 11, 15, 31, 39], "put": [6, 8, 19, 20, 21, 22, 24, 25, 32, 42, 47, 51, 54, 55, 56, 57, 58, 59, 60, 61], "fake": [6, 13, 53, 61], "jpsi_m": [6, 7, 10, 12], "jpsi_p": [6, 7, 10], "jpsi_pt": [6, 7, 10], "jpsi_px": [6, 10], "jpsi_pi": [6, 10], "jpsi_pz": [6, 7, 10], "mum_m": [6, 10], "mum_pt": [6, 7, 8, 10], "mum_eta": [6, 7, 10], "mum_p": [6, 7, 10], "mum_px": [6, 7, 10], "mum_pi": [6, 7, 10], "mum_pz": [6, 7, 10], "mum_ip": [6, 7, 8, 10], "mum_probnnmu": [6, 7, 10], "mum_probnnpi": [6, 10], "mup_m": [6, 10], "mup_pt": [6, 7, 8, 10], "mup_eta": [6, 7, 10], "mup_p": [6, 7, 10], "mup_px": [6, 10], "mup_pi": [6, 10], "mup_pz": [6, 10], "mup_ip": [6, 7, 8, 10], "mup_probnnmu": [6, 7, 10], "mup_probnnpi": [6, 10], "ntrack": [6, 10], "suffix": 6, "_m": 6, "invari": [6, 13, 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[1, 43], "publish": [1, 2, 27], "copi": [1, 2, 7, 10, 18, 19, 20, 22, 23, 24, 25, 27, 28, 33, 37, 38, 41, 43, 48, 50, 54, 55, 56, 57], "refer": [1, 6, 7, 10, 17, 20, 27, 29, 31, 32, 33, 46, 47, 51, 53, 54, 55, 57, 58, 59, 61], "inform": [1, 6, 12, 14, 15, 17, 18, 19, 22, 23, 24, 27, 28, 31, 32, 38, 40, 42, 46, 47, 50, 53, 54, 55, 56, 58, 59, 61], "home": [1, 18, 22, 25, 43, 51, 54, 55, 56, 57, 59], "creativ": [2, 28, 61], "common": [2, 3, 4, 6, 20, 22, 23, 24, 26, 28, 34, 36, 38, 41, 48, 53, 57, 59, 60], "attribut": [2, 5, 10, 14, 28, 35, 41, 59], "human": [2, 5, 22, 53, 54, 55, 57, 60], "readabl": [2, 5, 14, 22, 33, 36, 40, 41, 42, 43, 53, 54, 59], "summari": [2, 19, 61], "substitut": [2, 57, 61], "full": [2, 12, 19, 20, 22, 25, 26, 35, 41, 54, 55, 56, 59, 61], "legal": [2, 28], "text": [2, 3, 6, 7, 10, 11, 13, 17, 19, 20, 22, 25, 31, 33, 34, 43, 46, 48, 49, 54, 55, 56, 57, 58, 59, 60, 61], "cc": [2, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 54, 55, 56, 57, 58, 59, 60], "BY": [2, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 54, 55, 56, 57, 58, 59, 60], "4": [2, 3, 4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 31, 33, 35, 36, 37, 38, 40, 41, 42, 44, 45, 46, 54, 55, 56, 57, 58, 59, 60, 61], "share": [2, 3, 7, 12, 13, 21, 22, 25, 26, 27, 28, 30, 31, 53, 54, 61], "ani": [2, 4, 5, 12, 13, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 31, 33, 37, 38, 40, 41, 42, 43, 44, 46, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "medium": 2, "format": [2, 6, 19, 22, 31, 34, 36, 40, 42, 43, 47, 54, 56, 58, 59], "remix": 2, "transform": [2, 8, 56], "build": [2, 12, 15, 20, 24, 26, 39, 41, 43, 45, 56, 57, 59, 60, 61], "upon": 2, "purpos": [2, 7, 9, 12, 19, 27, 30, 42, 55, 56, 57], "even": [2, 6, 11, 13, 16, 19, 20, 24, 25, 28, 30, 32, 33, 34, 35, 38, 41, 42, 43, 47, 48, 51, 53, 54, 55, 56, 59, 60, 61], "commerci": [2, 28], "licensor": 2, "cannot": [2, 7, 11, 24, 25, 33, 37, 41, 43, 54, 55, 57, 61], "revok": 2, "freedom": 2, "long": [2, 3, 16, 17, 19, 20, 32, 36, 43, 46, 47, 48, 51, 54, 59, 60, 61], "term": [2, 19, 24, 44, 54, 59], "must": [2, 4, 20, 24, 25, 28, 36, 37, 38, 40, 41, 42, 43, 50, 53, 54, 55, 56, 58, 61], "give": [2, 4, 5, 6, 7, 10, 15, 23, 24, 25, 31, 37, 38, 41, 42, 43, 44, 48, 54, 56, 57, 58, 59, 61], "credit": [2, 46], "provid": [2, 4, 5, 6, 10, 11, 12, 14, 15, 22, 24, 26, 28, 38, 40, 42, 43, 50, 51, 53, 54, 55, 56, 58, 59, 60, 61], "link": [2, 22, 23, 24, 27, 31, 49, 54, 59], "indic": [2, 22, 33, 37, 41, 48, 54, 55, 56], "were": [2, 6, 13, 20, 21, 22, 23, 25, 26, 42, 56, 57, 58, 59, 61], "reason": [2, 11, 13, 17, 19, 22, 27, 41, 44, 48, 53, 58, 61], "manner": [2, 37], "endors": 2, "No": [2, 4, 6, 7, 11, 36, 42, 53, 54, 55, 57], "addit": [2, 5, 19, 22, 24, 25, 26, 31, 33, 37, 43, 45, 49, 53, 54, 55, 56, 57, 58, 60, 61], "restrict": [2, 6, 22, 28, 37, 41, 43, 59], "appli": [2, 5, 7, 10, 12, 14, 15, 20, 28, 31, 34, 42, 54, 57], "technolog": 2, "measur": [2, 6, 11, 12, 57, 60, 61], "anyth": [2, 4, 12, 19, 24, 25, 27, 30, 32, 37, 41, 42, 46, 47, 54, 55, 56, 57, 58, 61], "permit": 2, "notic": [2, 18, 19, 20, 21, 33, 43, 48, 53, 54, 55, 59, 61], "compli": 2, "element": [2, 4, 33, 41, 42, 43, 54, 55, 57], "domain": 2, "where": [2, 3, 5, 6, 7, 8, 11, 13, 17, 18, 19, 20, 22, 24, 25, 26, 27, 33, 34, 35, 41, 42, 43, 44, 46, 48, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "applic": [2, 3, 9, 11, 54], "except": [2, 5, 6, 12, 15, 21, 22, 24, 31, 43, 46, 54, 55, 56], "limit": [2, 10, 12, 13, 16, 19, 24, 31, 54, 57, 59], "warranti": 2, "given": [2, 4, 8, 11, 12, 13, 19, 20, 21, 24, 25, 27, 35, 41, 42, 43, 44, 53, 54, 55, 56, 57, 58, 59, 61], "permiss": [2, 6, 23, 24, 28, 53, 54, 59], "necessari": [2, 25, 41, 43, 54, 60], "intend": [2, 30, 46], "For": [2, 4, 5, 6, 7, 9, 11, 12, 16, 17, 19, 21, 23, 27, 31, 33, 35, 36, 38, 41, 42, 43, 44, 45, 46, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "privaci": 2, "moral": 2, "how": [2, 3, 4, 6, 7, 8, 12, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 32, 34, 37, 40, 41, 42, 43, 44, 45, 47, 48, 53, 54, 55, 57, 58, 59, 60, 61], "note": [2, 3, 4, 6, 12, 17, 18, 19, 22, 23, 24, 25, 31, 36, 37, 41, 42, 43, 46, 50, 52, 54, 55, 56, 57, 58, 59, 60, 61], "program": [2, 4, 17, 19, 21, 27, 31, 32, 34, 35, 37, 40, 43, 45, 46, 47, 50, 51, 53, 54, 55, 56, 57, 58, 59, 60], "carpentri": [2, 16, 17, 18, 19, 20, 21, 22, 23, 25, 27, 28, 29, 49, 54, 55, 56, 57, 58, 59, 60], "osi": 2, "approv": [2, 28], "mit": 2, "herebi": [2, 24, 35], "grant": [2, 28], "charg": [2, 14, 30], "obtain": [2, 6, 9, 10, 11, 12, 13, 15, 27, 32, 47, 50, 59], "deal": [2, 10, 16, 45, 56], "without": [2, 3, 5, 6, 9, 10, 11, 13, 14, 19, 20, 21, 22, 23, 24, 25, 26, 28, 32, 35, 38, 41, 43, 44, 47, 48, 50, 54, 55, 56, 57, 58, 59, 61], "modifi": [2, 19, 20, 21, 24, 25, 26, 27, 30, 32, 38, 41, 43, 47, 48, 53, 57, 58, 59, 61], "distribut": [2, 7, 12, 15, 16, 24, 27, 28, 30, 31, 38, 39, 43, 46, 61], "sublicens": 2, "sell": 2, "whom": 2, "furnish": 2, "subject": [2, 13, 61], "condit": [2, 12, 13, 28, 31, 34, 43, 49], "abov": [2, 3, 4, 5, 6, 8, 11, 13, 15, 17, 18, 20, 23, 25, 27, 31, 33, 35, 38, 41, 42, 43, 46, 51, 53, 54, 55, 57, 59, 61], "copyright": [2, 28, 46], "shall": [2, 13], "substanti": [2, 61], "portion": [2, 19], "THE": 2, "AS": 2, "OF": 2, "OR": [2, 12], "impli": [2, 54], "BUT": 2, "NOT": [2, 4, 35], "TO": 2, "merchant": 2, "fit": [2, 7, 8, 9, 10, 11, 12, 14, 15, 19, 31, 34, 39], "FOR": 2, "A": [2, 3, 4, 5, 7, 10, 11, 13, 16, 20, 22, 23, 24, 25, 26, 27, 28, 33, 35, 37, 38, 39, 41, 42, 46, 48, 51, 52, 53, 54, 55, 56, 57, 58, 60, 61], "particular": [2, 13, 16, 19, 22, 26, 34, 36, 43, 53, 55, 59], "AND": [2, 12, 13], "noninfring": 2, "IN": 2, "NO": 2, "event": [2, 6, 7, 11, 15, 38, 58], "author": [2, 10, 16, 19, 20, 24, 25, 29, 54], "holder": [2, 28], "BE": 2, "liabl": 2, "claim": [2, 61], "damag": 2, "liabil": 2, "whether": [2, 4, 7, 24, 28, 33, 36, 37, 43, 53, 57, 61], "action": [2, 4, 25, 32, 38, 41, 47, 61], "contract": [2, 59], "tort": 2, "aris": [2, 57], "out": [2, 3, 4, 5, 6, 7, 11, 15, 19, 20, 21, 22, 23, 24, 25, 27, 28, 32, 33, 38, 40, 41, 42, 43, 45, 46, 47, 50, 51, 52, 54, 56, 58, 59, 60, 61], "connect": [2, 3, 22, 24, 35, 51, 52, 54, 56], "WITH": 2, "advanc": [3, 6, 7, 9, 11, 12, 31, 33, 34, 49, 59], "python": [3, 5, 6, 7, 9, 10, 11, 12, 14, 20, 26, 28, 31, 32, 35, 36, 37, 38, 41, 42, 44, 45, 47, 48, 61], "tutori": [3, 4, 5, 6, 14, 30, 31, 33, 53, 54], "cover": [3, 4, 6, 15, 19, 21, 33, 35, 49, 54, 55, 60], "skill": [3, 31, 60], "tip": [3, 22, 25, 55], "load": [3, 4, 7, 8, 10, 14, 15, 31, 43, 51, 61], "data": [3, 7, 8, 10, 12, 13, 14, 15, 21, 27, 31, 34, 37, 38, 41, 53, 54, 55, 56, 57, 58, 59, 60, 61], "plot": [3, 8, 9, 11, 13, 14, 15, 21, 26, 31, 34], "matplotlib": [3, 6, 7, 8, 9, 10, 11, 12, 13, 26, 31, 38, 39, 43], "cut": [3, 7, 8, 10, 12, 13, 14, 15, 31, 34, 56, 58, 59], "base": [3, 7, 10, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 27, 28, 29, 31, 35, 38, 39, 43, 54, 55, 56, 57, 58, 59, 60, 61], "selction": 3, "multivari": [3, 11, 15, 31], "analysi": [3, 10, 12, 13, 14, 15, 21, 27, 34, 38, 48, 55, 56, 57, 58], "scikit": [3, 6, 7, 8, 10, 15, 31], "learn": [3, 7, 8, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 34, 51, 54, 55, 56, 57, 58, 59, 60, 61], "uboost": [3, 9], "hep_ml": [3, 9, 11, 13, 31], "neural": [3, 15], "network": [3, 15], "demo": [3, 60], "mutivari": 3, "kinemat": 3, "reweight": [3, 15, 31], "splot": [3, 11, 15, 31], "techniqu": [3, 7, 8, 13, 15, 41, 57, 59], "mutabl": [3, 4, 7, 31, 34, 37, 41, 42], "immut": [3, 33, 37, 48], "object": [3, 4, 5, 6, 7, 10, 12, 14, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 34, 35, 36, 37, 40, 41, 42, 43, 44, 46, 48, 51, 54, 55, 56, 57, 58, 59, 60, 61], "dictionari": [3, 6, 10, 31, 33, 34, 36, 40, 42, 61], "comprehens": [3, 31, 34, 36, 37, 42, 54, 56, 58, 59, 61], "notebook": [3, 7, 9, 12, 13, 14, 15, 27, 28, 31, 33, 38, 46], "moduel": 3, "let": [3, 4, 5, 6, 7, 8, 10, 11, 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24, 31, 32, 47, 50, 53, 55, 56, 57, 58, 61], "though": [3, 5, 6, 11, 15, 22, 27, 33, 36, 38, 50, 55, 57, 58, 59, 60, 61], "occasion": [3, 27], "better": [3, 5, 6, 7, 8, 9, 11, 16, 19, 23, 24, 29, 30, 33, 35, 40, 41, 48, 55, 59, 61], "break": [3, 5, 17, 19, 25, 36, 42, 46, 48, 55, 61], "rule": [3, 5, 15, 21, 31, 41, 42, 55], "easier": [3, 6, 20, 23, 27, 28, 31, 38, 40, 52, 54, 56, 59], "read": [3, 5, 6, 11, 13, 17, 20, 23, 25, 27, 33, 36, 39, 40, 41, 42, 53, 54, 56, 57, 58, 59, 60, 61], "restart": [3, 33], "kernal": 3, "24": [3, 4, 5, 6, 7, 10, 13, 25, 33, 38, 46, 51, 57, 59, 60], "few": [4, 5, 6, 7, 11, 15, 17, 19, 20, 21, 25, 26, 27, 28, 33, 35, 40, 44, 46, 54, 55, 56, 57, 58, 60], "relat": [4, 18, 40, 53, 60, 61], "import": [4, 5, 7, 8, 9, 10, 11, 12, 14, 15, 19, 20, 21, 24, 26, 28, 31, 32, 33, 34, 35, 37, 38, 40, 41, 42, 44, 46, 47, 53, 55, 59, 61], "thei": [4, 6, 10, 11, 13, 15, 16, 18, 19, 20, 22, 23, 24, 25, 26, 27, 28, 31, 33, 36, 37, 38, 40, 41, 42, 44, 45, 48, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "act": [4, 12, 24, 27, 42, 45], "parenthesi": 4, "situat": [4, 16, 53, 55, 61], "adder": 4, "left": [4, 5, 7, 13, 24, 26, 33, 45, 51, 56, 57], "assigmenemt": 4, "oper": [4, 5, 7, 17, 21, 31, 34, 36, 38, 40, 41, 43, 44, 48, 53, 54, 55, 56, 57, 58, 59, 60], "plai": [4, 6, 11, 12, 13, 16, 23, 24, 32, 33, 35, 36, 46, 47, 59], "around": [4, 11, 12, 16, 32, 36, 40, 41, 46, 47, 57, 58, 59, 60, 61], "seen": [4, 5, 6, 8, 13, 15, 24, 33, 35, 36, 37, 42, 43, 45, 46, 55, 56, 59], "remain": [4, 19, 33, 53, 59, 61], "special": [4, 5, 6, 11, 12, 15, 18, 19, 25, 26, 41, 43, 45, 46, 48, 54, 55, 57, 58, 60, 61], "case": [4, 5, 6, 7, 8, 11, 12, 15, 19, 20, 22, 24, 26, 31, 38, 41, 42, 43, 45, 46, 53, 54, 55, 56, 57, 58, 59, 61], "d1": 4, "d2": 4, "d3": 4, "d4": 4, "noth": [4, 5, 16, 18, 19, 21, 32, 44, 46, 47, 51, 54, 55, 56, 57, 58, 61], "simpli": [4, 5, 10, 12, 22, 24, 33, 43, 46, 51, 53, 57, 58, 61], "empti": [4, 19, 36, 41, 43, 48, 55, 58, 59, 61], "advantag": [4, 7, 46, 54, 58, 60, 61], "multipl": [4, 6, 7, 15, 16, 19, 21, 31, 32, 35, 36, 41, 42, 43, 45, 47, 52, 54, 55, 59, 61], "ad": [4, 7, 11, 12, 14, 15, 19, 20, 21, 22, 24, 25, 28, 31, 32, 33, 38, 42, 43, 47, 53, 56, 58], "doe": [4, 5, 6, 10, 11, 12, 19, 20, 21, 22, 24, 25, 26, 27, 30, 33, 35, 36, 37, 41, 42, 43, 54, 55, 56, 57, 58, 59, 60, 61], "possibl": [4, 5, 9, 10, 11, 16, 17, 20, 23, 33, 35, 36, 40, 42, 43, 46, 50, 53, 54, 57, 61], "ill": [4, 20], "defin": [4, 7, 8, 11, 12, 13, 21, 26, 32, 33, 36, 37, 41, 42, 43, 47, 48, 53, 58, 61], "d": [4, 5, 13, 22, 28, 33, 37, 40, 41, 42, 43, 46, 50, 51, 52, 54, 56, 58, 59], "g": [4, 8, 11, 12, 14, 19, 20, 21, 22, 25, 33, 35, 40, 41, 44, 46, 52, 53, 54, 55, 58, 59, 61], "h": [4, 6, 7, 10, 14, 17, 22, 32, 38, 47, 52, 53, 54, 58, 59], "should": [4, 5, 6, 10, 13, 18, 19, 20, 22, 23, 24, 25, 26, 28, 31, 34, 35, 36, 38, 40, 41, 42, 43, 50, 51, 52, 53, 54, 55, 56, 58, 59, 60, 61], "understand": [4, 16, 17, 20, 23, 24, 26, 33, 34, 41, 43, 54, 56, 57, 58, 60, 61], "arg": [4, 5, 42, 61], "func": [4, 42], "mykwarg": 4, "myarg": 4, "statement": [4, 6, 28, 36, 41, 42, 43], "basic": [4, 5, 6, 11, 12, 15, 16, 23, 27, 31, 34, 35, 43, 46, 49, 53, 54, 56, 59], "perform": [4, 8, 10, 11, 12, 13, 14, 22, 25, 36, 41, 44, 45, 53, 59, 60, 61], "enter": [4, 6, 17, 18, 20, 23, 31, 32, 33, 38, 46, 47, 48, 53, 54, 56, 57, 60, 61], "again": [4, 6, 8, 13, 19, 20, 21, 24, 25, 26, 32, 33, 35, 37, 41, 42, 46, 47, 48, 50, 51, 53, 54, 55, 57, 58, 59, 60, 61], "exit": [4, 17, 26, 32, 38, 43, 46, 47, 53, 54, 55, 57, 58, 61], "var": [4, 6, 7, 8, 13, 42, 51], "translat": [4, 5, 54, 60], "return_from_context_entering_cod": 4, "leav": [4, 6, 20, 46, 51, 55, 61], "great": [4, 5, 15, 30, 32, 40, 46, 47, 48, 49, 53, 54, 55, 60], "here": [4, 5, 6, 7, 9, 10, 11, 12, 13, 14, 17, 18, 20, 22, 24, 25, 26, 30, 31, 33, 35, 36, 38, 40, 41, 42, 43, 45, 46, 48, 51, 54, 55, 56, 57, 58, 59, 60, 61], "whenev": [4, 17, 42, 46, 60], "step": [4, 6, 12, 13, 15, 16, 20, 22, 23, 24, 25, 27, 35, 38, 41, 50, 54, 55, 56, 57, 58, 59, 60, 61], "prove": [4, 55], "incredibli": 4, "cleanup": 4, "yet": [4, 5, 6, 8, 14, 15, 19, 22, 24, 33, 35, 46, 55, 57, 58], "tediou": [4, 38, 42, 57], "manual": [4, 14, 17, 19, 31, 49, 50, 54, 59, 61], "forgotten": 4, "One": [4, 6, 7, 14, 19, 23, 26, 27, 32, 40, 47, 48, 50, 51, 53, 55, 57, 58, 59, 61], "executioin": 4, "stop": [4, 10, 25, 26, 35, 36, 51, 54, 56], "point": [4, 7, 13, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 31, 33, 38, 43, 53, 54, 55, 56, 57, 58, 59, 61], "continu": [4, 7, 12, 21, 24, 26, 56], "wa": [4, 10, 13, 14, 19, 20, 22, 23, 25, 27, 28, 31, 32, 33, 35, 41, 46, 47, 50, 53, 54, 55, 56, 57, 58, 59, 60, 61], "iter": [4, 15, 31, 36, 37, 41, 42, 57], "everytim": 4, "suppos": [4, 6, 19, 20, 25, 42, 55, 56, 57, 58, 61], "asynchron": 4, "wait": [4, 11, 17, 26, 54, 58, 61], "contextlib": 4, "contextmanag": 4, "printer": [4, 60], "number": [4, 6, 7, 9, 10, 11, 13, 19, 20, 24, 25, 26, 27, 31, 34, 37, 38, 41, 42, 43, 45, 48, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "insid": [4, 13, 18, 19, 31, 33, 34, 38, 41, 42, 48, 50, 51, 53, 54, 57, 58, 59, 61], "state": [4, 13, 15, 19, 20, 22, 27, 28, 29, 30, 33, 35, 56], "set": [4, 5, 6, 7, 8, 10, 12, 13, 15, 16, 18, 19, 20, 21, 22, 23, 24, 26, 30, 31, 33, 38, 42, 43, 45, 46, 49, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "tmp": [4, 6, 7, 8, 40, 54, 58, 61], "txt": [4, 19, 20, 21, 22, 23, 24, 25, 26, 28, 29, 40, 53, 54, 55, 56, 57, 58, 59, 61], "w": [4, 11, 13, 17, 43, 52, 53, 54, 56, 59, 61], "textfil": 4, "asdf": 4, "implement": [4, 5, 8, 10, 13, 15, 28, 30, 31, 37, 39, 42, 43, 60], "roughli": [4, 22], "myopen": 4, "mode": [4, 19, 23, 25, 33, 54, 57, 58], "close": [4, 6, 7, 11, 20, 24, 27, 34, 38, 41, 43, 50, 52, 53, 55], "temporarili": [4, 56], "42": [4, 5, 9, 11, 33, 35, 38, 41, 42, 43], "switch": [4, 8, 23, 24, 46, 52, 54], "back": [4, 5, 6, 11, 15, 16, 19, 20, 22, 23, 24, 27, 32, 35, 37, 38, 42, 43, 47, 50, 51, 54, 55, 56, 57, 58, 60], "old": [4, 12, 19, 20, 25, 46, 50, 54, 55, 59], "testdict": 4, "name": [4, 5, 6, 11, 12, 13, 14, 15, 17, 19, 20, 21, 22, 23, 24, 25, 26, 31, 32, 33, 35, 36, 38, 40, 41, 42, 43, 45, 47, 48, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "answer": [4, 5, 7, 11, 19, 20, 27, 35, 40, 44, 45, 54, 56, 57, 58, 59], "invok": [4, 5], "solut": [4, 5, 11, 13, 18, 19, 20, 21, 22, 23, 24, 25, 35, 36, 37, 38, 41, 42, 43, 45, 53, 54, 55, 56, 57, 58, 59, 61], "var1": 4, "set_answ": 4, "old_valu": 4, "instead": [4, 6, 7, 10, 13, 17, 19, 20, 21, 22, 24, 25, 35, 36, 37, 41, 43, 45, 48, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "__enter__": 4, "__exit__": 4, "mycontext": 4, "__init__": [4, 5, 12, 13, 35, 43], "self": [4, 7, 15, 31, 35, 54, 58], "type_": 4, "go": [4, 5, 6, 8, 11, 13, 18, 19, 20, 22, 23, 24, 25, 26, 28, 32, 33, 34, 35, 37, 38, 41, 42, 43, 45, 46, 47, 48, 53, 54, 55, 56, 57, 58, 59, 60, 61], "detail": [4, 5, 19, 24, 25, 26, 31, 38, 43, 46, 52], "power": [4, 7, 9, 11, 12, 15, 16, 35, 40, 41, 42, 53, 54, 55, 56, 58, 59, 60, 61], "offer": [4, 10, 22, 28, 33], "usus": 4, "enough": [4, 5, 19, 31, 50, 54, 55, 56, 58, 59], "prefer": [4, 5, 13, 17, 31, 38, 40, 42, 43, 56, 61], "doesn": [4, 6, 15, 19, 22, 27, 31, 32, 36, 41, 47, 52, 54, 55, 56, 57, 58, 59, 61], "t": [4, 5, 6, 7, 11, 12, 14, 15, 16, 17, 19, 20, 21, 22, 23, 24, 25, 27, 28, 31, 32, 35, 36, 37, 38, 40, 41, 42, 46, 47, 50, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "flexibl": [4, 8, 55, 58], "rememb": [4, 13, 17, 19, 20, 22, 24, 42, 51, 52, 53, 54, 57, 58, 61], "figur": [4, 6, 7, 8, 9, 11, 13, 22, 38, 42, 54, 58, 60, 61], "fulli": [4, 10, 35, 46], "hand": [4, 20, 23, 24, 25, 27, 33, 37, 41, 56, 59, 60], "programat": 4, "pattern": [4, 15, 21, 54, 57, 59], "achiev": [4, 6, 9, 13, 24, 36, 55, 59], "integ": [4, 10, 33, 37, 44, 53, 54], "everyth": [4, 5, 13, 15, 18, 19, 20, 21, 22, 25, 30, 31, 32, 35, 36, 38, 43, 46, 47, 54, 55, 56, 57, 59], "make_power_func": 4, "pow3": 4, "26": [4, 5, 7, 10, 13, 33, 38, 46, 51, 56, 61], "4398046511104": 4, "27": [4, 5, 7, 10, 13, 33, 38, 42, 46, 54], "test": [4, 6, 8, 12, 15, 21, 22, 26, 30, 31, 35, 37, 43, 50, 53, 55, 56, 59], "anoth": [4, 6, 7, 11, 12, 15, 17, 18, 19, 20, 22, 23, 25, 28, 33, 34, 36, 37, 38, 41, 42, 43, 46, 51, 53, 54, 55, 56, 57, 58, 59, 60, 61], "wrapper": [4, 9, 45], "timed_pow3": 4, "fime_func": 4, "hint": [4, 11, 20, 21, 25, 35, 54, 56, 59, 61], "scetch": 4, "time_func": 4, "new_func": 4, "28": [4, 6, 7, 10, 13, 33, 35, 46], "timed_func": 4, "wrapped_func": 4, "add_notim": 4, "30": [4, 6, 7, 10, 11, 12, 13, 15, 26, 33, 35, 41, 46, 56, 57, 58, 60, 61], "add_tim": 4, "31": [4, 6, 7, 13, 15, 33, 42, 46], "32": [4, 13, 15, 17, 33, 51], "5367431640625e": 4, "07": [4, 19, 20, 29, 54, 56, 57, 58], "33": [4, 15, 33, 43], "syntact": [4, 41], "sugar": [4, 31, 34], "argument": [4, 5, 6, 13, 14, 22, 32, 33, 34, 35, 40, 41, 42, 47, 48, 50, 51, 53, 54, 55, 56, 57, 58, 59, 61], "certain": [4, 6, 7, 10, 12, 24, 33, 35, 40, 41, 43, 45, 48, 53, 59], "surfac": [4, 25], "higher": [4, 12, 16, 38], "stack": [4, 13, 40, 46, 61], "typic": [4, 6, 7, 11, 13, 25, 26, 38, 42, 43, 51, 54, 56, 61], "encount": [4, 7, 8, 35, 40, 43], "wrong": [4, 7, 11, 18, 20, 35, 40, 53, 55, 57, 58, 59, 61], "type": [4, 5, 6, 10, 13, 17, 19, 20, 21, 31, 34, 35, 36, 37, 40, 42, 43, 44, 45, 46, 49, 50, 51, 54, 55, 56, 57, 58, 59, 60, 61], "caught": 4, "block": [4, 36, 41, 42, 43, 45, 46, 54, 57], "order": [4, 6, 7, 8, 10, 11, 12, 13, 15, 19, 21, 25, 26, 31, 36, 37, 38, 40, 41, 42, 50, 52, 54, 55, 56, 57, 58, 59, 60, 61], "handl": [4, 11, 30, 32, 47, 51, 58, 59, 60, 61], "built": [4, 6, 9, 10, 12, 19, 26, 37, 38, 42, 53, 54, 55, 58, 61], "typeerror": [4, 5, 33, 37, 41, 42], "float": [4, 11, 12, 13, 14, 33, 44], "valueerror": [4, 61], "illeg": 4, "neg": [4, 11, 13, 41, 59], "posit": [4, 7, 8, 9, 13, 21, 32, 41, 42, 47, 48, 56, 59], "runtimeerror": 4, "statu": [4, 18, 19, 20, 21, 24, 25, 26, 52, 54, 61], "pars": [4, 14, 43], "fall": [4, 5], "categori": [4, 7, 43], "keyerror": [4, 33], "indexerror": [4, 33, 41], "rais": [4, 5, 33, 61], "35": [4, 10, 33], "int": [4, 33, 40, 42, 44, 45], "str": [4, 15, 31, 33, 36, 42, 43, 48, 61], "often": [4, 5, 6, 7, 8, 10, 15, 20, 22, 26, 27, 28, 36, 38, 40, 42, 51, 57, 59, 60, 61], "conveni": [4, 6, 25, 33, 46, 56, 57], "messag": [4, 6, 12, 19, 20, 22, 24, 25, 32, 43, 47, 54, 55, 56, 57], "And": [4, 5, 6, 11, 13, 17, 23, 32, 35, 37, 47, 48, 53, 54, 56, 59], "inherit": [4, 10, 31, 34], "attent": [4, 11, 12, 24], "subclass": 4, "never": [4, 5, 31, 36, 41, 42, 45, 48, 54], "baseexcept": 4, "myerror": 4, "pass": [4, 5, 10, 13, 14, 27, 32, 42, 43, 47, 48, 50, 53, 54, 56, 57, 58, 59, 61], "alreadi": [4, 6, 7, 10, 13, 19, 21, 22, 24, 25, 27, 28, 31, 33, 34, 36, 37, 38, 40, 41, 42, 43, 44, 45, 46, 48, 52, 53, 55, 56, 61], "natur": [4, 24, 27, 36, 54], "negativevalueerror": 4, "next": [4, 5, 6, 13, 16, 19, 20, 21, 22, 23, 24, 33, 35, 36, 45, 46, 54, 57, 58, 60], "specifi": [4, 10, 12, 19, 26, 32, 35, 36, 37, 38, 41, 42, 43, 47, 48, 50, 53, 54, 55, 56, 59, 61], "check": [4, 5, 11, 12, 13, 17, 18, 19, 20, 22, 24, 25, 26, 27, 36, 51, 52, 53, 54, 55, 57, 58, 60, 61], "goe": [4, 6, 7, 11, 20, 53, 54, 56, 57, 60], "ye": [4, 5, 7, 33, 40, 41, 52, 54, 55, 61], "40": [4, 6, 9, 13, 14, 20, 33, 35, 41, 57], "keyword": [4, 6, 26, 40, 41, 42, 43, 53, 57], "inspect": [4, 32, 47, 53, 54, 55], "41": [4, 6, 33, 35, 41], "anti": 4, "gener": [4, 6, 7, 8, 12, 13, 15, 19, 24, 26, 33, 35, 38, 40, 41, 42, 43, 46, 50, 51, 54, 55, 56, 57, 61], "unfortun": [4, 20, 24], "caugth": 4, "43": [4, 33, 41, 42], "therefor": [4, 12, 18, 20, 24, 50, 58], "temporari": [4, 40, 54, 56, 61], "44": [4, 33, 42, 51], "guaranti": 4, "could": [4, 6, 7, 8, 20, 21, 22, 25, 28, 31, 32, 35, 36, 37, 38, 41, 42, 45, 47, 50, 53, 54, 55, 56, 58, 61], "omit": [4, 5, 41, 54], "45": [4, 15, 33, 41, 42, 46], "odd": [4, 35, 57], "effect": [4, 6, 7, 19, 20, 22, 33, 36, 38, 40, 41, 42, 43, 54, 55, 56, 57, 58], "ignor": [4, 6, 13, 18, 24, 30, 31, 54, 58, 59, 61], "IF": [4, 5], "logic": [4, 19, 25, 42], "46": [4, 19, 33, 60], "clean": [4, 6, 19, 21, 22, 24, 40, 58], "47": [4, 33], "elif": [4, 36, 53], "replac": [4, 20, 23, 24, 25, 35, 41, 42, 48, 53, 54, 57, 58, 59, 61], "golden": [4, 42], "steer": 4, "consid": [4, 6, 7, 12, 16, 19, 20, 25, 53, 54, 56, 58, 60, 61], "three": [4, 6, 22, 23, 24, 26, 38, 41, 42, 43, 48, 50, 53, 54, 55, 56, 57, 59, 61], "sake": [4, 54, 55], "favor": 4, "real": [4, 5, 6, 7, 8, 11, 15, 20, 24, 28, 31, 42, 43, 44, 53, 59], "larger": [4, 24, 53, 59], "scale": [4, 6, 7, 13, 54, 61], "too": [4, 6, 7, 19, 20, 21, 24, 28, 36, 40, 43, 54, 55, 56, 58, 59], "complic": [4, 5, 7, 23, 24, 27, 28, 40, 41, 51, 54, 55, 57, 58, 61], "explain": [4, 5, 13, 17, 19, 20, 21, 22, 24, 25, 27, 28, 29, 42, 44, 53, 54, 56, 57, 58, 59, 60, 61], "assum": [4, 6, 8, 13, 38, 41, 54, 55, 56, 57, 58, 59, 61], "third": [4, 19, 41, 42, 55, 56, 59], "solv": [4, 7, 13, 21, 25, 28, 34, 35, 40, 57, 59, 61], "deeper": [4, 16], "nest": [4, 5, 18, 21, 36, 41, 56, 57], "don": [4, 6, 7, 11, 12, 15, 19, 20, 21, 22, 24, 25, 28, 32, 35, 36, 37, 38, 40, 41, 42, 46, 47, 53, 54, 55, 56, 57, 58, 59, 61], "output": [4, 7, 8, 9, 17, 18, 19, 20, 21, 22, 23, 24, 26, 27, 41, 42, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61], "48": [4, 33, 51], "50": [4, 6, 10, 11, 13, 15, 19, 20, 24, 33, 35], "result": [4, 7, 8, 11, 12, 13, 14, 15, 21, 25, 27, 32, 36, 42, 44, 45, 46, 47, 48, 54, 55, 56, 57, 59, 60, 61], "focus": [5, 59], "invoc": [5, 54], "demystifi": 5, "oubl": 5, "score": [5, 7, 11], "__meth__": [5, 15], "reserv": 5, "invent": 5, "precis": [5, 6, 33, 38], "__meth": 5, "fine": 5, "These": [5, 7, 15, 16, 20, 21, 26, 33, 38, 51, 54, 60, 61], "deleg": 5, "correspond": [5, 6, 13, 19, 22, 24, 25, 36, 37, 44, 45, 48, 56, 60], "__add__": [5, 35, 45], "notimpl": 5, "altern": [5, 6, 7, 12, 15, 31, 46, 59, 61], "tri": [5, 25, 40, 54], "__radd__": 5, "ight": 5, "differ": [5, 7, 8, 10, 11, 13, 14, 15, 16, 17, 19, 20, 22, 23, 24, 25, 27, 28, 31, 33, 37, 38, 41, 42, 43, 44, 45, 48, 49, 50, 51, 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