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Commit 174fd1b

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Ondřej Ševčík
committed
rearrange: clean main directory
adjust jupyter notebook to point to new file locations
1 parent e7917f8 commit 174fd1b

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7 files changed

+25
-26
lines changed

7 files changed

+25
-26
lines changed

bachelor_thesis.ipynb

Lines changed: 25 additions & 26 deletions
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@@ -1086,7 +1086,6 @@
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"cell_type": "markdown",
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"id": "f7f572d9-0dd6-476d-a0ef-dcb2ddc81b61",
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"metadata": {
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"jp-MarkdownHeadingCollapsed": true,
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"tags": []
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},
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"source": [
@@ -1095,25 +1094,25 @@
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},
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{
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"cell_type": "code",
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"execution_count": 23,
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"execution_count": 91,
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"id": "dc5c79e3-3daf-404d-a8a9-51c5b5052f2a",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-12T06:56:39.058622Z",
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"iopub.status.busy": "2023-05-12T06:56:39.058330Z",
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"iopub.status.idle": "2023-05-12T06:56:39.067539Z",
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"shell.execute_reply": "2023-05-12T06:56:39.066186Z",
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"shell.execute_reply.started": "2023-05-12T06:56:39.058580Z"
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"iopub.execute_input": "2023-05-12T07:20:21.518975Z",
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"iopub.status.busy": "2023-05-12T07:20:21.518198Z",
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"iopub.status.idle": "2023-05-12T07:20:21.531893Z",
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"shell.execute_reply": "2023-05-12T07:20:21.529834Z",
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"shell.execute_reply.started": "2023-05-12T07:20:21.518898Z"
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},
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"tags": []
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},
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"outputs": [],
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"source": [
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"# Open the file in binary mode\n",
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"with open(\"domain_n_components_search.pkl\", \"rb\") as file:\n",
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"with open(\"visualisations/domain_n_components_search.pkl\", \"rb\") as file:\n",
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" components_variance_time_d = pickle.load(file)\n",
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"\n",
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"with open(\"subdomain_n_components_search.pkl\", \"rb\") as file:\n",
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"with open(\"visualisations/subdomain_n_components_search.pkl\", \"rb\") as file:\n",
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" components_variance_time_s = pickle.load(file)"
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]
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},
@@ -1132,14 +1131,14 @@
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},
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"source": [
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"# Open the file in binary mode\n",
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"with open(\"explained_variance_ratios.pkl\", \"rb\") as file:\n",
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"with open(\"visualisastions/explained_variance_ratios.pkl\", \"rb\") as file:\n",
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"\n",
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" # Call load method to deserialze\n",
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" explained_variance_ratios = pickle.load(file)\n",
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"\n",
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" print(explained_variance_ratios)\n",
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"\n",
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"with open(\"times.pkl\", \"rb\") as file:\n",
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"with open(\"visualisations/times.pkl\", \"rb\") as file:\n",
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"\n",
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" # Call load method to deserialze\n",
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" times = pickle.load(file)\n",
@@ -1351,15 +1350,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 24,
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"execution_count": 92,
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"id": "f6f6299d-9fee-4c9a-94f1-e291065195a5",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-12T06:56:39.069189Z",
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"iopub.status.busy": "2023-05-12T06:56:39.068892Z",
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"iopub.status.idle": "2023-05-12T06:56:39.089368Z",
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"shell.execute_reply": "2023-05-12T06:56:39.088176Z",
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"shell.execute_reply.started": "2023-05-12T06:56:39.069159Z"
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"iopub.execute_input": "2023-05-12T07:20:33.467434Z",
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"iopub.status.busy": "2023-05-12T07:20:33.466984Z",
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"iopub.status.idle": "2023-05-12T07:20:33.496267Z",
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"shell.execute_reply": "2023-05-12T07:20:33.495247Z",
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"shell.execute_reply.started": "2023-05-12T07:20:33.467398Z"
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},
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"tags": []
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},
@@ -1483,7 +1482,7 @@
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"11 1500.0 0.627052 1690.275342"
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]
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},
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"execution_count": 24,
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"execution_count": 92,
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"metadata": {},
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"output_type": "execute_result"
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}
@@ -1630,15 +1629,15 @@
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},
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{
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"cell_type": "code",
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"execution_count": 26,
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"execution_count": 93,
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"id": "7a0a7a21-c64d-44b6-8b94-cc44cd9b9621",
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"metadata": {
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"execution": {
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"iopub.execute_input": "2023-05-12T06:56:39.110729Z",
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"iopub.status.busy": "2023-05-12T06:56:39.110435Z",
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"iopub.status.idle": "2023-05-12T06:56:39.762251Z",
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"shell.execute_reply": "2023-05-12T06:56:39.760834Z",
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"shell.execute_reply.started": "2023-05-12T06:56:39.110699Z"
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"iopub.execute_input": "2023-05-12T07:20:36.694891Z",
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"iopub.status.busy": "2023-05-12T07:20:36.694258Z",
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"iopub.status.idle": "2023-05-12T07:20:37.190213Z",
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"shell.execute_reply": "2023-05-12T07:20:37.189228Z",
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"shell.execute_reply.started": "2023-05-12T07:20:36.694832Z"
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},
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"tags": []
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},
@@ -1725,10 +1724,10 @@
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"outputs": [],
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"source": [
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"# Open the file in binary mode\n",
1728-
"with open(\"domain_n_components_search.pkl\", \"wb\") as file:\n",
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"with open(\"visualisations/domain_n_components_search.pkl\", \"wb\") as file:\n",
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" pickle.dump(components_variance_time_d, file)\n",
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"\n",
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"with open(\"subdomain_n_components_search.pkl\", \"wb\") as file:\n",
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"with open(\"visualisations/subdomain_n_components_search.pkl\", \"wb\") as file:\n",
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" pickle.dump(components_variance_time_s, file)"
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]
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},
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