Code
-= pd.read_csv('score_by_repo_run_3.5-turbo.csv')
+ df_repo_run = pd.read_csv('../data/processed/score_by_repo_run_3.5-turbo.csv')
df_repo_run
= df_repo_run.merge(gt, on=['id', 'title', 'repo'])
df_repo_run
@@ -631,7 +631,7 @@ Evaluation Results
= ['Repository', 'Checklist Item', 'Ground Truth']
contingency_table.index.names =[0, 2]) contingency_table.sort_index(level
-
+
@@ -816,31 +816,31 @@ Evaluation Results
="30 Runs on Openja's Repositories for each Checklist Item"
title )
-
+
-
+
@@ -904,7 +904,7 @@ Com
Code
# FIXME: jitter-mean-sd plot (checklist item vs. score) for each repo
-= pd.read_csv('score_stat_by_repo_4o.csv')
+ df_repo_4o__stat = pd.read_csv('../data/processed/score_stat_by_repo_4o.csv')
df_repo_4o__stat = df_repo_4o__stat.merge(gt, on=['id', 'title', 'repo'])
df_repo_4o__stat_with_gt 'model'] = 'gpt-4o'
df_repo_4o__stat_with_gt[
@@ -960,31 +960,31 @@ Com
=12
titleFontSize )
-
+
-
+
diff --git a/report/final_report/docs/proposal.html b/report/docs/report/proposal.html
similarity index 95%
rename from report/final_report/docs/proposal.html
rename to report/docs/report/proposal.html
index 9a14a8b..c2f8fda 100644
--- a/report/final_report/docs/proposal.html
+++ b/report/docs/report/proposal.html
@@ -42,22 +42,22 @@
}
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
+
+
+
+
+
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+
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"
- ],
- "text/plain": [
- "alt.FacetChart(...)"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "generate_stat_plot(df_repo__stat, ground_truth=ground_truth, repo=\"lightfm\", facet_col='repo')"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "a553667f-d2aa-4349-8bb8-12807f83871e",
- "metadata": {},
- "source": [
- "The distribution of the scores for each checklist items:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "id": "465fbb35-d05f-4c0c-bb2f-15434446f3a1",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " repo \n",
- " level_1 \n",
- " 2.1 \n",
- " 3.2 \n",
- " 3.5 \n",
- " 4.2 \n",
- " 5.3 \n",
- " 6.1 \n",
- " 6.2 \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " 6 \n",
- " lightfm \n",
- " 0.0 \n",
- " 0.0 \n",
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- " 18.0 \n",
- " 0.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 7 \n",
- " lightfm \n",
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- " 29.0 \n",
- " 6.0 \n",
- " 27.0 \n",
- " 12.0 \n",
- " 20.0 \n",
- " 4.0 \n",
- " \n",
- " \n",
- " 8 \n",
- " lightfm \n",
- " 1.0 \n",
- " 29.0 \n",
- " 0.0 \n",
- " 5.0 \n",
- " 3.0 \n",
- " 0.0 \n",
- " 10.0 \n",
- " 26.0 \n",
- " \n",
- " \n",
- "
\n",
- ""
- ],
- "text/plain": [
- " repo level_1 2.1 3.2 3.5 4.2 5.3 6.1 6.2\n",
- "6 lightfm 0.0 0.0 1.0 19.0 0.0 18.0 0.0 0.0\n",
- "7 lightfm 0.5 1.0 29.0 6.0 27.0 12.0 20.0 4.0\n",
- "8 lightfm 1.0 29.0 0.0 5.0 3.0 0.0 10.0 26.0"
- ]
- },
- "execution_count": 12,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo__count.query('repo == \"lightfm\"')"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "a2a01ee9-515e-4b30-9acb-0110de9dd16d",
- "metadata": {},
- "source": [
- "**Observations**:\n",
- "The system evaluation kind of aligns with our evaluation, that is,\n",
- " - for those items that we believe \"Satisfied\" (Score = 1), the system mostly output 0.5 or 1\n",
- " - for those items that we believe \"Partially Satisfied\" or \"Not Satisfied\", the system mostly output 0.5 or 0\n",
- " - some checklist items display high variance, e.g. 3.5, 5.3 and 6.1."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "bbddf7f4-14e8-4fed-bd24-34281772624f",
- "metadata": {},
- "source": [
- "#### 2. Overview of `qlib`\n",
- "Let the ground truth of the `qlib` is as the following (FIXME: to be confirmed):"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "id": "b6255ae9-ec5d-4088-aee0-11b05d89f0c7",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " repo \n",
- " id \n",
- " score \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " 7 \n",
- " qlib \n",
- " 2.1 \n",
- " 0.5 \n",
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- " 8 \n",
- " qlib \n",
- " 3.2 \n",
- " 1.0 \n",
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- " 9 \n",
- " qlib \n",
- " 3.5 \n",
- " 0.0 \n",
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- " 11 \n",
- " qlib \n",
- " 5.3 \n",
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- " qlib \n",
- " 6.2 \n",
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- "
\n",
- ""
- ],
- "text/plain": [
- " repo id score\n",
- "7 qlib 2.1 0.5\n",
- "8 qlib 3.2 1.0\n",
- "9 qlib 3.5 0.0\n",
- "10 qlib 4.2 0.5\n",
- "11 qlib 5.3 1.0\n",
- "12 qlib 6.1 1.0\n",
- "13 qlib 6.2 1.0"
- ]
- },
- "execution_count": 13,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "# Ground truth\n",
- "ground_truth[ground_truth.repo == 'qlib']"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "id": "476e12df-0077-44e1-891d-206f1c5f6193",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.FacetChart(...)"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "generate_stat_plot(df_repo__stat, ground_truth=ground_truth, repo=\"qlib\", facet_col='repo')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "id": "115f3f4b-8940-48ba-9b6b-7c8a8856e337",
- "metadata": {},
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- "\n",
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- " \n",
- " \n",
- " \n",
- " repo \n",
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- " 2.1 \n",
- " 3.2 \n",
- " 3.5 \n",
- " 4.2 \n",
- " 5.3 \n",
- " 6.1 \n",
- " 6.2 \n",
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- " 24 \n",
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- " repo level_1 2.1 3.2 3.5 4.2 5.3 6.1 6.2\n",
- "24 qlib 0.0 0.0 1.0 29.0 3.0 14.0 4.0 1.0\n",
- "25 qlib 0.5 0.0 12.0 1.0 27.0 16.0 24.0 26.0\n",
- "26 qlib 1.0 30.0 17.0 0.0 0.0 0.0 2.0 3.0"
- ]
- },
- "execution_count": 15,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo__count.query('repo == \"qlib\"')"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "7558e093-6732-40fa-89eb-c6a426904f06",
- "metadata": {},
- "source": [
- "**Observations**: \n",
- "- There are more disagreement between system and manual evaluation\n",
- " - especially for 5.3, 6.1, 6.2.\n",
- "- The items consistency in this repo are not similar to those in `lightfm`.\n",
- " - e.g. Variance for 3.5 is greatly reduced. Variance for 3.2 becomes larger.\n",
- "- However, `qlib` is not just a machine learning project, it also contains a software inside.\n",
- " - e.g. It has a lot of randomly generated data by itself, instead of reading a data to perform analysis, it seems to deviate from the objective of 2.1."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "10ffd6db-e68b-495a-bc6a-050b593cfcf3",
- "metadata": {},
- "source": [
- "#### 3. The consistency for each checklist items\n",
- " - Why is it important?\n",
- " If the score of a particular item varies a lot when evaluating a repository, it might mean that its prompt (`Requirement`) is confusing to the LLM, or the checklist item itself is not well defined."
- ]
- },
- {
- "cell_type": "code",
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- " magenta \n",
- " mmf \n",
- " mycroft-core \n",
- " nanodet \n",
- " paperless-ng \n",
- " qlib \n",
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- " id \n",
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\n",
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- "repo DeepSpeech apollo lightfm magenta mmf mycroft-core \\\n",
- "id \n",
- "2.1 0.479463 0.152564 0.091287 0.423451 0.000000 0.000000 \n",
- "3.2 0.406838 0.215092 0.091287 0.189525 0.245066 0.278027 \n",
- "3.5 0.000000 0.000000 0.388040 0.252003 0.126854 0.000000 \n",
- "4.2 0.000000 0.000000 0.152564 0.091287 0.126854 0.000000 \n",
- "5.3 0.000000 0.000000 0.249136 0.000000 0.126854 0.000000 \n",
- "6.1 0.351107 0.172873 0.239732 0.252003 0.233046 0.000000 \n",
- "6.2 0.000000 0.000000 0.172873 0.000000 0.201289 0.253708 \n",
- "\n",
- "repo nanodet paperless-ng qlib \n",
- "id \n",
- "2.1 0.000000 0.242117 0.000000 \n",
- "3.2 0.239732 0.091287 0.285673 \n",
- "3.5 0.252003 0.000000 0.091287 \n",
- "4.2 0.254274 0.000000 0.152564 \n",
- "5.3 0.000000 0.000000 0.253708 \n",
- "6.1 0.285673 0.000000 0.224888 \n",
- "6.2 0.260415 0.126854 0.182574 "
- ]
- },
- "execution_count": 16,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo__stat.pivot(index='id', columns='repo', values='std')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 17,
- "id": "04455456-9516-44a7-ba7e-8f6c76012a0a",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.Chart(...)"
- ]
- },
- "execution_count": 17,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "alt.Chart(df_repo__stat).mark_boxplot().encode(\n",
- " x=\"std:Q\",\n",
- " y='id:N'\n",
- ").properties(\n",
- " height=200,\n",
- " width=400\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "89dc7998-7d58-426d-942e-5f4d9c94c6f5",
- "metadata": {},
- "source": [
- "**Observations**:\n",
- " - The evaluation of the checklist item 2.1 `Ensure Data File Loads as Expected` is usually stable.\n",
- " - When evaluating a repository, 50% of the time its standard deviation is smaller than 0.05, the smallest among the others."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "4c5eb994-adf1-47e1-8ad1-49e57e1f3b4b",
- "metadata": {},
- "source": [
- "Below shows the breakdown of item scores for each repository: \n",
- "(NOTE: only `lightfm` and `qlib` have ground truth, in green diamond)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "id": "949e72eb-03a0-4718-85aa-04989c6e44e6",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.FacetChart(...)"
- ]
- },
- "execution_count": 18,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "generate_stat_plot(df_repo__stat, ground_truth=ground_truth, facet_col='id')"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "a2cc620a-e7ae-483f-8bb7-e327d49a03d4",
- "metadata": {},
- "source": [
- "**Observations**:\n",
- " - (TBC) The standard deviation for Item 3.5 and 5.3 shows great variation, which might imply that test cases in some repo might be confusing to LLM while some are clear.\n",
- " - (TBC) The standard deviation for Item 5.3, 6.1, 6.2 are relatively high and consistent, which might imply that there is room for refining the prompt to reduce consistency issue."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "b6dfc16e-fc8d-42ec-9680-485dbdcc0d36",
- "metadata": {},
- "source": [
- "#### 4. The consistency for each checklist items, compared to the `lightfm`\n",
- " - Why is it important? We optimized the consistency of our system using `lightfm`. Therefore, we treat this repository as a benchmark. If a particular checklist item has a much worse consistency in other repository, that might mean that the prompt for that item is not generalizable.\n",
- "\n",
- "Below shows the standard deviations in a 30 runs for each checklist item for each repository:"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "id": "8ecbe813-87bd-4e0a-a368-40b920f3923c",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
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- " \n",
- " \n",
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- " id \n",
- " 2.1 \n",
- " 3.2 \n",
- " 3.5 \n",
- " 4.2 \n",
- " 5.3 \n",
- " 6.1 \n",
- " 6.2 \n",
- " \n",
- " \n",
- " repo \n",
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- " \n",
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- " 0.388040 \n",
- " 0.152564 \n",
- " 0.249136 \n",
- " 0.239732 \n",
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- " \n",
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- " magenta \n",
- " 0.423451 \n",
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- " 0.091287 \n",
- " 0.000000 \n",
- " 0.252003 \n",
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- " 0.000000 \n",
- " 0.245066 \n",
- " 0.126854 \n",
- " 0.126854 \n",
- " 0.126854 \n",
- " 0.233046 \n",
- " 0.201289 \n",
- " \n",
- " \n",
- " mycroft-core \n",
- " 0.000000 \n",
- " 0.278027 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.253708 \n",
- " \n",
- " \n",
- " nanodet \n",
- " 0.000000 \n",
- " 0.239732 \n",
- " 0.252003 \n",
- " 0.254274 \n",
- " 0.000000 \n",
- " 0.285673 \n",
- " 0.260415 \n",
- " \n",
- " \n",
- " paperless-ng \n",
- " 0.242117 \n",
- " 0.091287 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.000000 \n",
- " 0.126854 \n",
- " \n",
- " \n",
- " qlib \n",
- " 0.000000 \n",
- " 0.285673 \n",
- " 0.091287 \n",
- " 0.152564 \n",
- " 0.253708 \n",
- " 0.224888 \n",
- " 0.182574 \n",
- " \n",
- " \n",
- "
\n",
- ""
- ],
- "text/plain": [
- " std \\\n",
- "id 2.1 3.2 3.5 4.2 5.3 6.1 \n",
- "repo \n",
- "DeepSpeech 0.479463 0.406838 0.000000 0.000000 0.000000 0.351107 \n",
- "apollo 0.152564 0.215092 0.000000 0.000000 0.000000 0.172873 \n",
- "lightfm 0.091287 0.091287 0.388040 0.152564 0.249136 0.239732 \n",
- "magenta 0.423451 0.189525 0.252003 0.091287 0.000000 0.252003 \n",
- "mmf 0.000000 0.245066 0.126854 0.126854 0.126854 0.233046 \n",
- "mycroft-core 0.000000 0.278027 0.000000 0.000000 0.000000 0.000000 \n",
- "nanodet 0.000000 0.239732 0.252003 0.254274 0.000000 0.285673 \n",
- "paperless-ng 0.242117 0.091287 0.000000 0.000000 0.000000 0.000000 \n",
- "qlib 0.000000 0.285673 0.091287 0.152564 0.253708 0.224888 \n",
- "\n",
- " \n",
- "id 6.2 \n",
- "repo \n",
- "DeepSpeech 0.000000 \n",
- "apollo 0.000000 \n",
- "lightfm 0.172873 \n",
- "magenta 0.000000 \n",
- "mmf 0.201289 \n",
- "mycroft-core 0.253708 \n",
- "nanodet 0.260415 \n",
- "paperless-ng 0.126854 \n",
- "qlib 0.182574 "
- ]
- },
- "execution_count": 19,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "stds = df_repo__stat[['repo', 'std', 'id']].pivot(index='repo', columns='id')\n",
- "stds"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "id": "d21ecf33-efac-407d-baac-0d2eeb61f3bd",
- "metadata": {},
- "outputs": [],
- "source": [
- "stds_p = stds.copy()\n",
- "stds_p.columns = [col[1] for col in stds_p.columns]\n",
- "stds_p = stds_p.reset_index()\n",
- "stds_p = stds_p.melt(id_vars='repo', var_name='id')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 21,
- "id": "1430735d-b0f7-4092-8af6-80d24f43f8f1",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " repo \n",
- " id \n",
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- " \n",
- " \n",
- " \n",
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- " 0 \n",
- " DeepSpeech \n",
- " 2.1 \n",
- " 0.479463 \n",
- " \n",
- " \n",
- " 1 \n",
- " apollo \n",
- " 2.1 \n",
- " 0.152564 \n",
- " \n",
- " \n",
- " 2 \n",
- " lightfm \n",
- " 2.1 \n",
- " 0.091287 \n",
- " \n",
- " \n",
- " 3 \n",
- " magenta \n",
- " 2.1 \n",
- " 0.423451 \n",
- " \n",
- " \n",
- " 4 \n",
- " mmf \n",
- " 2.1 \n",
- " 0.000000 \n",
- " \n",
- " \n",
- "
\n",
- ""
- ],
- "text/plain": [
- " repo id value\n",
- "0 DeepSpeech 2.1 0.479463\n",
- "1 apollo 2.1 0.152564\n",
- "2 lightfm 2.1 0.091287\n",
- "3 magenta 2.1 0.423451\n",
- "4 mmf 2.1 0.000000"
- ]
- },
- "execution_count": 21,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "stds_p.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 22,
- "id": "b5f6ad28-25d7-4957-b9aa-5facf2c75f64",
- "metadata": {},
- "outputs": [],
- "source": [
- "# stripplot = (\n",
- "# alt.Chart(stds_p)\n",
- "# .mark_point(filled=True, size=100)\n",
- "# .transform_calculate( \n",
- "# # Generate Gaussian jitter with a Box-Muller transform \n",
- "# jitter='sqrt(-2*log(random()))*cos(2*PI*random())'\n",
- "# # jitter='random()'\n",
- "# ).encode( \n",
- "# y=alt.Y( \n",
- "# 'jitter:Q', \n",
- "# title=None, \n",
- "# axis=alt.Axis(ticks=False, grid=True, labels=False), \n",
- "# scale=alt.Scale(), \n",
- "# ), \n",
- "# x=alt.X('value:Q'), \n",
- "# color=alt.Color('repo:N'),\n",
- "# row=alt.Row( \n",
- "# 'id:N',\n",
- "# header=alt.Header(\n",
- "# labelFontSize=16,\n",
- "# labelAngle=0\n",
- "# )\n",
- "# ),\n",
- "# tooltip='repo'\n",
- "# ).configure_facet( \n",
- "# spacing=0\n",
- "# ).configure_view( \n",
- "# stroke=None\n",
- "# ).configure_axis( \n",
- "# labelFontSize=16, \n",
- "# titleFontSize=16\n",
- "# ).properties(\n",
- "# height=50, \n",
- "# width=600\n",
- "# ) \n",
- "# )\n",
- " \n",
- "# stripplot "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 23,
- "id": "90e2629c-eb21-496a-8166-33d44e1c89c3",
- "metadata": {},
- "outputs": [],
- "source": [
- "def generate_jitterbox_plot(df_stds_p):\n",
- " \"\"\"\n",
- " Generate jitterbox plot across all repo and all checklist item\n",
- " \"\"\"\n",
- " box = alt.Chart().mark_boxplot(\n",
- " color='grey',\n",
- " opacity=0.5,\n",
- " size=20,\n",
- " ).encode(\n",
- " x=alt.X('value:Q').title('SD(Score)'),\n",
- " y=alt.Y('id:N', title=None, axis=alt.Axis(labelPadding=10, grid=False))\n",
- " )\n",
- " \n",
- " stripplot = alt.Chart().mark_circle(size=100).encode(\n",
- " y=alt.Y( \n",
- " 'id:N',\n",
- " axis=alt.Axis(ticks=False, grid=True, labels=True), \n",
- " scale=alt.Scale(), \n",
- " ), \n",
- " x='value:Q',\n",
- " yOffset=\"jitter:Q\",\n",
- " color=alt.Color('id:N', legend=None),\n",
- " tooltip='repo'\n",
- " ).transform_calculate(\n",
- " # Generate Gaussian jitter with a Box-Muller transform\n",
- " jitter=\"sqrt(-2*log(random()))*cos(2*PI*random())\"\n",
- " )\n",
- " \n",
- " plot = alt.layer(\n",
- " box,\n",
- " stripplot,\n",
- " data=df_stds_p\n",
- " ).configure_view( \n",
- " stroke=None\n",
- " ).configure_axis( \n",
- " labelFontSize=16, \n",
- " titleFontSize=16\n",
- " ).properties(\n",
- " height=300, \n",
- " width=600\n",
- " ) \n",
- " \n",
- " return plot"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "id": "9a2fcf56-8fc6-4241-8a6b-b86a618ddb11",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.LayerChart(...)"
- ]
- },
- "execution_count": 24,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "generate_jitterbox_plot(stds_p)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 25,
- "id": "e4db9a51-29da-4913-8c10-1dba36a52a3b",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.Chart(...)"
- ]
- },
- "execution_count": 25,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "alt.Chart(df_repo__stat).mark_boxplot().encode(\n",
- " x=\"std:Q\",\n",
- " y='id:N'\n",
- ").properties(\n",
- " height=200,\n",
- " width=400\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 26,
- "id": "ff4cf03c-b48d-400e-ae3d-a4a7f434c8ec",
- "metadata": {
- "scrolled": true
- },
- "outputs": [],
- "source": [
- "# !pip install altair_catplot\n",
- "# !pip install seaborn"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 27,
- "id": "d833bbcd-ba7b-4f01-999b-16e0be3b99bb",
- "metadata": {},
- "outputs": [],
- "source": [
- "# import altair_catplot\n",
- "\n",
- "# altair_catplot.catplot(\n",
- "# stds_p, \n",
- "# transform ='jitterbox', \n",
- "# mark ='point', \n",
- "# encoding = dict(\n",
- "# x = alt.X('value:Q'), \n",
- "# y = alt.Y('id:N'), \n",
- "# color = alt.Color('repo:N')\n",
- "# ) \n",
- "# )"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 28,
- "id": "c5883b9a-c852-4d2f-82fd-7f5434edcce6",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.LayerChart(...)"
- ]
- },
- "execution_count": 28,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "F = stds.drop(index='lightfm') / stds.loc['lightfm']\n",
- "\n",
- "base = alt.Chart(\n",
- " F.melt(ignore_index=False).reset_index()[['repo', 'id', 'value']]\n",
- ").transform_calculate(\n",
- " benchmark=\"1\",\n",
- " threshold=f\"{scipy.stats.f.ppf(0.975, 29, 29)}\"\n",
- ")\n",
- "\n",
- "point = base.mark_point(\n",
- " filled=True,\n",
- " size=100,\n",
- ").encode(\n",
- " x=alt.X('value:Q').title(\"std ratio (c.f. lightfm)\"),\n",
- " y='id:N',\n",
- " color='repo',\n",
- " tooltip='repo'\n",
- ").properties(\n",
- " height=200,\n",
- " width=400\n",
- ")\n",
- "\n",
- "point \\\n",
- "+ base.mark_rule(color='black').encode(x=\"benchmark:Q\") \\\n",
- "+ base.mark_rule(color='red').encode(x=\"threshold:Q\")\n",
- "# jitter instead of mark_point <-- prompt vs. repo problem?\n",
- "# prompt: sd of checklist item for all repo is high\n",
- "# repo: most of repo have low sd, the repo we're looking at has outlier"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "ffef79ff-a4fa-4412-973d-7e4fdfe1be71",
- "metadata": {},
- "source": [
- "**Observations**:\n",
- " - The evaluation of the checklist item 3.2 `Data in the Expected Format` becomes much more unstable in most of other repositories.\n",
- " - That of the 2.1 is significantly unstable in the repo `paperless-ng`, `magenta` and `DeepSpeech`, but it may be due to the repo itself.\n",
- "\n",
- "TODO: to look into the 3.2's scores."
- ]
- },
- {
- "cell_type": "markdown",
- "id": "e860559f-bde8-47c5-ac35-94797beb6054",
- "metadata": {},
- "source": [
- "#### TODO: Given ground truth == 1, distribution of system score?\n",
- "#### TODO: Given ground truth == 0, distribution of system score?"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 29,
- "id": "0a1179d8-ef8c-46dd-878b-55e24f848764",
- "metadata": {},
- "outputs": [],
- "source": [
- "def generate_histogram_plot(df_repo_run_long, df_ground_truth=None, repo=None, id=None):\n",
- " \"\"\"\n",
- " Generate histogram across all repo and all checklist item\n",
- " Optional to incorporate ground truth and select specific repo/checklist item\n",
- " \"\"\"\n",
- " # data\n",
- " repo_data = df_repo_run_long.copy()\n",
- " if repo:\n",
- " repo_data = repo_data.query(f'repo == \"{repo}\"')\n",
- " if id:\n",
- " repo_data = repo_data.query(f'id == \"{id}\"')\n",
- "\n",
- " # base histogram chart\n",
- " base = alt.Chart().mark_bar().encode(\n",
- " x=alt.X('eval_score:Q', title='Score'), \n",
- " y=alt.Y('count()'), \n",
- " color=alt.value('grey'),\n",
- " size=alt.value(20),\n",
- " )\n",
- " \n",
- " if df_ground_truth is not None:\n",
- " # data\n",
- " gt_data = df_ground_truth.copy()\n",
- " if repo:\n",
- " gt_data = gt_data.query(f'repo == \"{repo}\"')\n",
- " if id:\n",
- " gt_data = gt_data.query(f'id == \"{id}\"')\n",
- " \n",
- " repo_data = pd.merge(repo_data, gt_data, how='left', on=['repo', 'id'])\n",
- " repo_data['is_equal_to_gt'] = repo_data['eval_score'] == repo_data['score']\n",
- " \n",
- " # base histogram chart\n",
- " base = base.encode(\n",
- " color=alt.Color('is_equal_to_gt', scale=alt.Scale(range=['grey', 'green']), legend=None)\n",
- " )\n",
- " base += base.mark_text().encode(\n",
- " text=alt.value('Ground Truth'),\n",
- " x='score',\n",
- " size=alt.value(10),\n",
- " color=alt.value('green'),\n",
- " )\n",
- "\n",
- " plot = alt.layer(\n",
- " base,\n",
- " data=repo_data\n",
- " ).properties(\n",
- " width=200,\n",
- " height=200,\n",
- " ).facet(\n",
- " row='repo',\n",
- " column='id'\n",
- " ) \n",
- " \n",
- " return plot"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "898f6f5e-d04a-4a23-a797-b7b4a221526f",
- "metadata": {},
- "source": [
- "#### Contingency Table"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 37,
- "id": "7a2e22d2-f800-4821-bafe-493fb225c476",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
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\n",
- ""
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- "eval_score 0.0 0.5 1.0\n",
- "ground_truth \n",
- "0.0 227 8 35\n",
- "0.5 21 39 30\n",
- "1.0 21 159 90"
- ]
- },
- "execution_count": 37,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo_run_p = pd.melt(df_repo_run, id_vars=['repo', 'run'], var_name='id', value_name='eval_score')\n",
- "df_repo_run_p = pd.merge(df_repo_run_p, ground_truth, how='inner', on=['repo', 'id'])\n",
- "df_repo_run_p = df_repo_run_p.rename(columns={'score': 'ground_truth'})\n",
- "pd.pivot_table(df_repo_run_p, values='run', index=['ground_truth'], columns=['eval_score'], aggfunc='count', fill_value=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 35,
- "id": "5c8cca76-a64e-4e9b-8d63-5e68d9967e8f",
- "metadata": {},
- "outputs": [
- {
- "data": {
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- "text/plain": [
- " repo run id eval_score ground_truth\n",
- "0 DeepSpeech 1 2.1 1.0 0.0\n",
- "1 DeepSpeech 2 2.1 1.0 0.0\n",
- "2 DeepSpeech 3 2.1 0.0 0.0\n",
- "3 DeepSpeech 4 2.1 1.0 0.0\n",
- "4 DeepSpeech 5 2.1 0.0 0.0\n",
- ".. ... ... ... ... ...\n",
- "625 qlib 26 6.2 0.5 1.0\n",
- "626 qlib 27 6.2 0.5 1.0\n",
- "627 qlib 28 6.2 0.5 1.0\n",
- "628 qlib 29 6.2 1.0 1.0\n",
- "629 qlib 30 6.2 0.5 1.0\n",
- "\n",
- "[630 rows x 5 columns]"
- ]
- },
- "execution_count": 35,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo_run_p"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 31,
- "id": "335fa41b-eed6-47ea-bdb2-6d0a424f91a1",
- "metadata": {},
- "outputs": [],
- "source": [
- "# generate_histogram_plot(df_repo_run_p, df_ground_truth=ground_truth)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "11c7f99d-9e65-4eaf-911e-44ca1c0eb77b",
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.11.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/report/final_report/02_plots-for-final-report.ipynb b/report/final_report/02_plots-for-final-report.ipynb
deleted file mode 100644
index 36e9feb..0000000
--- a/report/final_report/02_plots-for-final-report.ipynb
+++ /dev/null
@@ -1,693 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "e9a74646-ec18-49c0-b9ef-ed3b5ba64087",
- "metadata": {},
- "outputs": [
- {
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- "text/html": [
- "\n",
- "\n",
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- "alt.FacetChart(...)"
- ]
- },
- "execution_count": 1,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "import altair as alt\n",
- "import pandas as pd\n",
- "\n",
- "df_repo__stat = pd.read_csv('score_stat_by_repo_3.5-turbo.csv')\n",
- "gt = pd.read_csv('ground_truth.csv')\n",
- "gt = gt.melt(id_vars=['id', 'title'], var_name='repo', value_name='ground_truth')\n",
- "\n",
- "df_repo__stat_with_gt = df_repo__stat.merge(gt, on=['id', 'title', 'repo'])\n",
- "\n",
- "base = alt.Chart(\n",
- " df_repo__stat_with_gt.query('repo in [\"lightfm\", \"qlib\", \"DeepSpeech\"]')\n",
- ").transform_calculate(\n",
- " min=\"max(0, datum.mean-datum.std)\",\n",
- " max=\"min(1, datum.mean+datum.std)\"\n",
- ")\n",
- " \n",
- "# generate the points\n",
- "points = base.mark_point(\n",
- " filled=True,\n",
- " size=50,\n",
- " color='black'\n",
- ").encode(\n",
- " x=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title(\"Score\").axis(\n",
- " labelExpr=\"datum.value % 0.5 ? null : datum.label\"\n",
- " ),\n",
- " y=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))#.scale(domainMin=0, domainMax=1).title('Score'),\n",
- ")\n",
- "\n",
- "# generate the points for ground truth\n",
- "gt_points = base.mark_point(\n",
- " filled=True,\n",
- " size=200,\n",
- " color='green',\n",
- " shape=\"diamond\"\n",
- ").encode(\n",
- " x=alt.X('ground_truth:Q'),\n",
- " y=alt.Y('id_title:N')\n",
- ")\n",
- "\n",
- "# generate the error bars\n",
- "errorbars = base.mark_errorbar().encode(\n",
- " x=alt.X(\"min:Q\").title('1 SD'), #\"id:N\",\n",
- " x2=\"max:Q\",\n",
- " y=\"id_title:N\"\n",
- ")\n",
- "\n",
- "(gt_points + points + errorbars).facet(\n",
- " column=alt.Column('repo:N').title(None)\n",
- ").configure_axis( \n",
- " labelFontSize=12, \n",
- " titleFontSize=12\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "aa1c3071-33f8-47da-a10d-42b7dbdcce1d",
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 2,
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- ]
- },
- "execution_count": 2,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo_run = pd.read_csv('score_by_repo_run_3.5-turbo.csv')\n",
- "\n",
- "df_repo_run = df_repo_run.merge(gt, on=['id', 'title', 'repo'])\n",
- "\n",
- "contingency_table = pd.pivot_table(\n",
- " df_repo_run,\n",
- " values='run', \n",
- " index=['repo', 'id_title', 'ground_truth'], \n",
- " columns=['score'],\n",
- " aggfunc='count', \n",
- " fill_value=0\n",
- ")\n",
- "contingency_table.index.names = ['Repository', 'Checklist Item', 'Ground Truth']\n",
- "contingency_table.sort_index(level=[0, 2])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "afc06ca7-5f39-4293-8bdb-9d46558e7535",
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "f23950d5-792f-4f0a-8e3a-1727b3598dd8",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.LayerChart(...)"
- ]
- },
- "execution_count": 3,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "stds = df_repo__stat[['repo', 'std', 'id_title']].pivot(index='repo', columns='id_title').copy()\n",
- "stds.columns = [col[1] for col in stds.columns]\n",
- "stds = stds.reset_index()\n",
- "stds = stds.melt(id_vars='repo', var_name='id_title')\n",
- "\n",
- "base = alt.Chart(stds)\n",
- "\n",
- "box = base.mark_boxplot(\n",
- " color='grey',\n",
- " opacity=0.5,\n",
- " size=20,\n",
- ").encode(\n",
- " x=alt.X('value:Q').title('Standard Deviation of Scores'),\n",
- " y=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))\n",
- ")\n",
- "\n",
- "stripplot = base.mark_circle(size=100).encode(\n",
- " y=alt.Y( \n",
- " 'id_title:N',\n",
- " axis=alt.Axis(ticks=False, grid=True, labels=True), \n",
- " scale=alt.Scale(), \n",
- " ), \n",
- " x='value:Q',\n",
- " yOffset=\"jitter:Q\",\n",
- " color=alt.Color('id_title:N', legend=None),\n",
- " tooltip='repo'\n",
- ").transform_calculate(\n",
- " # Generate Gaussian jitter with a Box-Muller transform\n",
- " jitter=\"sqrt(-2*log(random()))*cos(2*PI*random())\"\n",
- ")\n",
- "\n",
- "(\n",
- " box + stripplot\n",
- ").configure_view( \n",
- " stroke=None\n",
- ").configure_axis( \n",
- " labelFontSize=12, \n",
- " titleFontSize=12\n",
- ").properties(\n",
- " height=300, \n",
- " width=600,\n",
- " title=\"30 Runs on Openja's Repositories for each Checklist Item\"\n",
- ") "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "1d493dc0-5b75-4348-a627-b1194e498b0d",
- "metadata": {},
- "outputs": [],
- "source": []
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "bade3842-185e-4369-a5d7-4356290df058",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.FacetChart(...)"
- ]
- },
- "execution_count": 5,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo_4o__stat = pd.read_csv('score_stat_by_repo_4o.csv')\n",
- "df_repo_4o__stat_with_gt = df_repo_4o__stat.merge(gt, on=['id', 'title', 'repo'])\n",
- "df_repo_4o__stat_with_gt['model'] = 'gpt-4o'\n",
- "\n",
- "df_repo_35turbo__stat_with_gt = df_repo__stat_with_gt.query(\"repo == 'lightfm'\").copy()\n",
- "df_repo_35turbo__stat_with_gt['model'] = 'gpt-3.5-turbo'\n",
- "\n",
- "df_model_comp = pd.concat(\n",
- " (df_repo_35turbo__stat_with_gt, df_repo_4o__stat_with_gt), \n",
- " axis=0\n",
- ")\n",
- "\n",
- "base = alt.Chart(\n",
- " df_model_comp\n",
- ").transform_calculate(\n",
- " min=\"max(0, datum.mean-datum.std)\",\n",
- " max=\"min(1, datum.mean+datum.std)\"\n",
- ")\n",
- " \n",
- "# generate the points\n",
- "points = base.mark_point(\n",
- " filled=True,\n",
- " size=50,\n",
- " color='black'\n",
- ").encode(\n",
- " x=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title(\"Score\").axis(\n",
- " labelExpr=\"datum.value % 0.5 ? null : datum.label\"\n",
- " ),\n",
- " y=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))#.scale(domainMin=0, domainMax=1).title('Score'),\n",
- ")\n",
- "\n",
- "# generate the points for ground truth\n",
- "gt_points = base.mark_point(\n",
- " filled=True,\n",
- " size=200,\n",
- " color='green',\n",
- " shape=\"diamond\"\n",
- ").encode(\n",
- " x=alt.X('ground_truth:Q'),\n",
- " y=alt.Y('id_title:N')\n",
- ")\n",
- "\n",
- "# generate the error bars\n",
- "errorbars = base.mark_errorbar().encode(\n",
- " x=alt.X(\"min:Q\").title('1 SD'), #\"id:N\",\n",
- " x2=\"max:Q\",\n",
- " y=\"id_title:N\"\n",
- ")\n",
- "\n",
- "(gt_points + points + errorbars).facet(\n",
- " column=alt.Column('model:N').title(None)\n",
- ").configure_axis( \n",
- " labelFontSize=12, \n",
- " titleFontSize=12\n",
- ")\n"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "1af0fef8-2c34-4166-affe-93224c639cf9",
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python [conda env:fixml]",
- "language": "python",
- "name": "conda-env-fixml-py"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.12.4"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/report/final_report/04_plots-for-presentations.ipynb b/report/final_report/04_plots-for-presentations.ipynb
deleted file mode 100644
index 8df4f9a..0000000
--- a/report/final_report/04_plots-for-presentations.ipynb
+++ /dev/null
@@ -1,840 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "4b9fb96f-b1fc-42f5-b9ab-a1dc95802b71",
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "Requirement already satisfied: scipy in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (1.13.1)\n",
- "Collecting altair\n",
- " Using cached altair-5.3.0-py3-none-any.whl.metadata (9.2 kB)\n",
- "Requirement already satisfied: numpy<2.3,>=1.22.4 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from scipy) (1.26.4)\n",
- "Requirement already satisfied: jinja2 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from altair) (3.1.4)\n",
- "Requirement already satisfied: jsonschema>=3.0 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from altair) (4.22.0)\n",
- "Requirement already satisfied: packaging in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from altair) (23.2)\n",
- "Requirement already satisfied: pandas>=0.25 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from altair) (2.2.2)\n",
- "Collecting toolz (from altair)\n",
- " Using cached toolz-0.12.1-py3-none-any.whl.metadata (5.1 kB)\n",
- "Requirement already satisfied: attrs>=22.2.0 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from jsonschema>=3.0->altair) (23.2.0)\n",
- "Requirement already satisfied: jsonschema-specifications>=2023.03.6 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from jsonschema>=3.0->altair) (2023.12.1)\n",
- "Requirement already satisfied: referencing>=0.28.4 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from jsonschema>=3.0->altair) (0.35.1)\n",
- "Requirement already satisfied: rpds-py>=0.7.1 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from jsonschema>=3.0->altair) (0.18.1)\n",
- "Requirement already satisfied: python-dateutil>=2.8.2 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from pandas>=0.25->altair) (2.9.0.post0)\n",
- "Requirement already satisfied: pytz>=2020.1 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from pandas>=0.25->altair) (2024.1)\n",
- "Requirement already satisfied: tzdata>=2022.7 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from pandas>=0.25->altair) (2024.1)\n",
- "Requirement already satisfied: MarkupSafe>=2.0 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from jinja2->altair) (2.1.5)\n",
- "Requirement already satisfied: six>=1.5 in /Users/johnshiu/miniconda3/envs/test-creation/lib/python3.12/site-packages (from python-dateutil>=2.8.2->pandas>=0.25->altair) (1.16.0)\n",
- "Using cached altair-5.3.0-py3-none-any.whl (857 kB)\n",
- "Using cached toolz-0.12.1-py3-none-any.whl (56 kB)\n",
- "Installing collected packages: toolz, altair\n",
- "Successfully installed altair-5.3.0 toolz-0.12.1\n"
- ]
- }
- ],
- "source": [
- "!pip install scipy altair"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "id": "0c53326d-6c47-435e-bf4d-c4e2ca98667f",
- "metadata": {},
- "outputs": [],
- "source": [
- "import scipy\n",
- "import pickle\n",
- "import json\n",
- "import yaml\n",
- "import pandas as pd\n",
- "import altair as alt\n",
- "from collections import Counter"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "id": "c4f22517-a1cb-4ccf-a15a-536e50e28462",
- "metadata": {},
- "outputs": [],
- "source": [
- "def get_report(response):\n",
- " report = []\n",
- " for result in response.call_results:\n",
- " if result.parsed_response:\n",
- " resp = result.parsed_response['results']\n",
- " for item in resp:\n",
- " item['file'] = result.files_evaluated[0] \n",
- " item['success'] = result.success\n",
- " report.append(item)\n",
- " else:\n",
- " report.append({\n",
- " 'ID': '2.1', # FIXME\n",
- " 'Title': '',\n",
- " 'Requirement': '',\n",
- " 'Observation': '',\n",
- " 'Functions': [],\n",
- " 'Evaluation': '',\n",
- " 'Score': 0,\n",
- " 'file': result.files_evaluated[0],\n",
- " 'success': result.success\n",
- " })\n",
- " return pd.DataFrame(report)\n",
- "\n",
- "def get_report_json(response):\n",
- " report = []\n",
- " for result in response['call_results']:\n",
- " if result['parsed_response']:\n",
- " resp = result['parsed_response']['results']\n",
- " for item in resp:\n",
- " item['file'] = result['files_evaluated'][0] \n",
- " item['success'] = result['success']\n",
- " report.append(item)\n",
- " else:\n",
- " report.append({\n",
- " 'ID': '2.1', # FIXME\n",
- " 'Title': '',\n",
- " 'Requirement': '',\n",
- " 'Observation': '',\n",
- " 'Functions': [],\n",
- " 'Evaluation': '',\n",
- " 'Score': 0,\n",
- " 'file': result.files_evaluated[0],\n",
- " 'success': result.success\n",
- " })\n",
- " return pd.DataFrame(report)\n",
- "\n",
- "def extract_file_and_scores(resp_path, verbose=False):\n",
- " if verbose:\n",
- " print(resp_path)\n",
- " with open(resp_path, 'rb') as file:\n",
- " try:\n",
- " response = pickle.load(file)\n",
- " report = get_report(response)\n",
- " except:\n",
- " response = json.load(file)\n",
- " report = get_report_json(response)\n",
- " df = (\n",
- " report\n",
- " .pivot(index='file', columns='ID', values='Score')\n",
- " .rename_axis(None, axis=1)\n",
- " )\n",
- " df['success'] = report.groupby(['file'])['success'].all()\n",
- " df['response_path'] = resp_path\n",
- " return df.reset_index()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "id": "0adf5c7e-e006-4eca-8dd4-dec3b31a17db",
- "metadata": {},
- "outputs": [],
- "source": [
- "checklist_ids = ['2.1', '3.2', '3.5', '4.2', '5.3', '6.1', '6.2']\n",
- "\n",
- "def read_and_preprocess(result_path):\n",
- " with open(result_path, 'r') as file:\n",
- " config = pd.DataFrame(yaml.safe_load(file))\n",
- " \n",
- " # prepare score data by repo, run, file\n",
- " tmp = [\n",
- " extract_file_and_scores(path) for path in config['response_path'] # FIXME: excluded deepchem\n",
- " ]\n",
- " tmp = pd.concat(tmp, axis=0).reset_index(drop=True)\n",
- " \n",
- " raw_df_repo_run_file = config.merge(tmp, on='response_path', how='left')\n",
- "\n",
- " # filter non-test files in qlib\n",
- " df_repo_run_file = raw_df_repo_run_file.query('(repo != \"qlib\") | (file.str.contains(\"../data/raw/openja/qlib/tests/\"))')\n",
- " \n",
- " # prepare score data by repo, run\n",
- " df_repo_run = df_repo_run_file.groupby(['repo', 'run']).agg({\n",
- " id: ['max'] for id in checklist_ids\n",
- " })\n",
- " df_repo_run.columns = [col[0] for col in df_repo_run.columns]\n",
- " df_repo_run = df_repo_run.reset_index()\n",
- " \n",
- " # prepare statistics of scores by repo\n",
- " df_repo__stat = df_repo_run.groupby(['repo']).agg({\n",
- " id: ['mean', 'std', 'count'] for id in checklist_ids\n",
- " })\n",
- " df_repo__stat = pd.melt(df_repo__stat.reset_index(), id_vars=[('repo', '')])\n",
- " df_repo__stat.columns = ['repo', 'id', 'stat', 'value']\n",
- " df_repo__stat = (\n",
- " df_repo__stat.pivot(index=['repo', 'id'], columns='stat', values='value')\n",
- " .reset_index()\n",
- " .rename_axis(None, axis=1)\n",
- " )\n",
- " \n",
- " # prepare counting of scores by repo\n",
- " df_repo__count = df_repo_run.groupby(['repo'])['2.1'].apply(Counter).reset_index()\n",
- " for id in checklist_ids[1:]:\n",
- " df_repo__count = df_repo__count.merge(\n",
- " df_repo_run.groupby(['repo'])[id].apply(Counter).reset_index(),\n",
- " on=['repo', 'level_1'],\n",
- " how='outer'\n",
- " )\n",
- " \n",
- " df_repo__count = df_repo__count.fillna(0)\n",
- "\n",
- " return (df_repo_run_file, df_repo_run, df_repo__stat, df_repo__count)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 4,
- "id": "3e8d7502-aab7-404c-8da1-11fd58970783",
- "metadata": {},
- "outputs": [],
- "source": [
- "# Ground truth\n",
- "ground_truth = pd.DataFrame([\n",
- " {'repo': 'lightfm', 'id': '2.1', 'score': 1},\n",
- " {'repo': 'lightfm', 'id': '3.2', 'score': 1},\n",
- " {'repo': 'lightfm', 'id': '3.5', 'score': 0},\n",
- " {'repo': 'lightfm', 'id': '4.2', 'score': 1},\n",
- " {'repo': 'lightfm', 'id': '5.3', 'score': 0.5},\n",
- " {'repo': 'lightfm', 'id': '6.1', 'score': 1},\n",
- " {'repo': 'lightfm', 'id': '6.2', 'score': 1},\n",
- " {'repo': 'qlib', 'id': '2.1', 'score': 0.5},\n",
- " {'repo': 'qlib', 'id': '3.2', 'score': 1},\n",
- " {'repo': 'qlib', 'id': '3.5', 'score': 0},\n",
- " {'repo': 'qlib', 'id': '4.2', 'score': 0.5},\n",
- " {'repo': 'qlib', 'id': '5.3', 'score': 1},\n",
- " {'repo': 'qlib', 'id': '6.1', 'score': 1},\n",
- " {'repo': 'qlib', 'id': '6.2', 'score': 1},\n",
- " {'repo': 'DeepSpeech', 'id': '2.1', 'score': 0},\n",
- " {'repo': 'DeepSpeech', 'id': '3.2', 'score': 0},\n",
- " {'repo': 'DeepSpeech', 'id': '3.5', 'score': 0},\n",
- " {'repo': 'DeepSpeech', 'id': '4.2', 'score': 0},\n",
- " {'repo': 'DeepSpeech', 'id': '5.3', 'score': 0},\n",
- " {'repo': 'DeepSpeech', 'id': '6.1', 'score': 0},\n",
- " {'repo': 'DeepSpeech', 'id': '6.2', 'score': 0},\n",
- "])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 5,
- "id": "82a13f65-fbb1-4dcf-ba25-f886df8b1300",
- "metadata": {},
- "outputs": [],
- "source": [
- "id_item_map = {\n",
- " '2.1': 'Ensure Data File Loads as Expected',\n",
- " '3.2': 'Data in the Expected Format',\n",
- " '3.5': 'Check for Duplicate Records in Data',\n",
- " '4.2': 'Verify Data Split Proportion',\n",
- " '5.3': 'Ensure Model Output Shape Aligns with Expectation',\n",
- " '6.1': 'Verify Evaluation Metrics Implementation',\n",
- " '6.2': \"Evaluate Model's Performance Against Thresholds\"\n",
- "}"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 6,
- "id": "cd4973c9-04da-4a34-a7c5-eec7ffb96836",
- "metadata": {},
- "outputs": [],
- "source": [
- "#result_path = '../draft/batch_run_results/record_combine.yml'\n",
- "df_repo_run_file, df_repo_run, df_repo__stat, df_repo__count = read_and_preprocess(\n",
- " '../data/processed/batch_run/record_combine.yml'\n",
- ")"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "8b502f24-16d6-432c-96c8-3d245fb52023",
- "metadata": {},
- "source": [
- "### Accuracy: Contingency table"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "id": "23e0de2e-cf32-49fe-b4ec-450a8975e422",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " System Output \n",
- " 0.0 \n",
- " 0.5 \n",
- " 1.0 \n",
- " \n",
- " \n",
- " Repository \n",
- " ID \n",
- " Title \n",
- " Ground Truth \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " lightfm \n",
- " 3.5 \n",
- " Check for Duplicate Records in Data \n",
- " 0.0 \n",
- " 19 \n",
- " 6 \n",
- " 5 \n",
- " \n",
- " \n",
- " 5.3 \n",
- " Ensure Model Output Shape Aligns with Expectation \n",
- " 0.5 \n",
- " 18 \n",
- " 12 \n",
- " 0 \n",
- " \n",
- " \n",
- " 4.2 \n",
- " Verify Data Split Proportion \n",
- " 1.0 \n",
- " 0 \n",
- " 27 \n",
- " 3 \n",
- " \n",
- " \n",
- "
\n",
- ""
- ],
- "text/plain": [
- "System Output 0.0 \\\n",
- "Repository ID Title Ground Truth \n",
- "lightfm 3.5 Check for Duplicate Records in Data 0.0 19 \n",
- " 5.3 Ensure Model Output Shape Aligns with Expectation 0.5 18 \n",
- " 4.2 Verify Data Split Proportion 1.0 0 \n",
- "\n",
- "System Output 0.5 \\\n",
- "Repository ID Title Ground Truth \n",
- "lightfm 3.5 Check for Duplicate Records in Data 0.0 6 \n",
- " 5.3 Ensure Model Output Shape Aligns with Expectation 0.5 12 \n",
- " 4.2 Verify Data Split Proportion 1.0 27 \n",
- "\n",
- "System Output 1.0 \n",
- "Repository ID Title Ground Truth \n",
- "lightfm 3.5 Check for Duplicate Records in Data 0.0 5 \n",
- " 5.3 Ensure Model Output Shape Aligns with Expectation 0.5 0 \n",
- " 4.2 Verify Data Split Proportion 1.0 3 "
- ]
- },
- "execution_count": 7,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "cont_table = pd.melt(\n",
- " df_repo_run.query('(repo == \"lightfm\")')[['repo', 'run', '3.5', '4.2', '5.3']], \n",
- " id_vars=['repo', 'run'], var_name='id', value_name='System Output')\n",
- "cont_table = pd.merge(cont_table, ground_truth, how='inner', on=['repo', 'id'])\n",
- "cont_table = cont_table.rename(columns={'score': 'ground_truth'})\n",
- "cont_table['title'] = cont_table['id'].apply(lambda x: id_item_map[x])\n",
- "#cont_table = cont_table[['repo', 'title', 'ground_truth', 'System Output', 'run']]\n",
- "cont_table = pd.pivot_table(cont_table, values='run', index=['repo', 'id', 'title', 'ground_truth'], columns=['System Output'], aggfunc='count', fill_value=0)\n",
- "cont_table.index.names = ['Repository', 'ID', 'Title', 'Ground Truth']\n",
- "cont_table.sort_index(level=3)"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "819e9f5a-f23a-4941-83b8-1d7da147ee36",
- "metadata": {},
- "source": [
- "### Consistency: jitterbox plot"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "id": "2db359f4-b563-4224-b55c-501e529be7e7",
- "metadata": {},
- "outputs": [],
- "source": [
- "stds = df_repo__stat[['repo', 'std', 'id']].pivot(index='repo', columns='id').copy()\n",
- "stds.columns = [col[1] for col in stds.columns]\n",
- "stds = stds.reset_index()\n",
- "stds = stds.melt(id_vars='repo', var_name='id')\n",
- "stds['title'] = stds['id'].apply(lambda x: id_item_map[x])"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "id": "2503b881-60c1-4c49-a2f8-449f59f98057",
- "metadata": {},
- "outputs": [],
- "source": [
- "box = alt.Chart().mark_boxplot(\n",
- " color='grey',\n",
- " opacity=0.5,\n",
- " size=20,\n",
- ").encode(\n",
- " x=alt.X('value:Q').title('System Output Uncertainty'),\n",
- " y=alt.Y('title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))\n",
- ")\n",
- "\n",
- "stripplot = alt.Chart().mark_circle(size=100).encode(\n",
- " y=alt.Y( \n",
- " 'title:N',\n",
- " axis=alt.Axis(ticks=False, grid=True, labels=True), \n",
- " scale=alt.Scale(), \n",
- " ), \n",
- " x='value:Q',\n",
- " yOffset=\"jitter:Q\",\n",
- " color=alt.Color('id:N', legend=None),\n",
- " tooltip='repo'\n",
- ").transform_calculate(\n",
- " # Generate Gaussian jitter with a Box-Muller transform\n",
- " jitter=\"sqrt(-2*log(random()))*cos(2*PI*random())\"\n",
- ")\n",
- "\n",
- "plot = alt.layer(\n",
- " box,\n",
- " stripplot,\n",
- " data=stds\n",
- ").configure_view( \n",
- " stroke=None\n",
- ").configure_axis( \n",
- " labelFontSize=12, \n",
- " titleFontSize=12\n",
- ").properties(\n",
- " height=300, \n",
- " width=600,\n",
- " title=\"30 Runs on Openja's Repositories for each Checklist Item\"\n",
- ") "
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 11,
- "id": "24e1784c-37af-4b54-bcf0-fa2b549117dc",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.LayerChart(...)"
- ]
- },
- "execution_count": 11,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "plot"
- ]
- },
- {
- "cell_type": "markdown",
- "id": "d420faf6-6869-49c9-8f8d-13cc7208f7fa",
- "metadata": {},
- "source": [
- "### improvement from 3.5 to 4o"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "id": "125066d9-268a-4689-878d-945c20d55d2a",
- "metadata": {},
- "outputs": [],
- "source": [
- "#result_path = '../draft/batch_run_results/record_combine.yml'\n",
- "df_repo_run_file_4o, df_repo_run_4o, df_repo_4o__stat, df_repo_4o__count = read_and_preprocess(\n",
- " '../data/processed/batch_run_4o/record_combine.yml'\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 14,
- "id": "9f11eb92-9948-4193-a35d-608ebf52a60c",
- "metadata": {
- "scrolled": true
- },
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- " \n",
- " \n",
- " \n",
- " repo \n",
- " id \n",
- " count \n",
- " mean \n",
- " std \n",
- " \n",
- " \n",
- " \n",
- " \n",
- " 0 \n",
- " lightfm \n",
- " 2.1 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 1 \n",
- " lightfm \n",
- " 3.2 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 2 \n",
- " lightfm \n",
- " 3.5 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 3 \n",
- " lightfm \n",
- " 4.2 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 4 \n",
- " lightfm \n",
- " 5.3 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 5 \n",
- " lightfm \n",
- " 6.1 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- " 6 \n",
- " lightfm \n",
- " 6.2 \n",
- " 30.0 \n",
- " 1.0 \n",
- " 0.0 \n",
- " \n",
- " \n",
- "
\n",
- ""
- ],
- "text/plain": [
- " repo id count mean std\n",
- "0 lightfm 2.1 30.0 1.0 0.0\n",
- "1 lightfm 3.2 30.0 1.0 0.0\n",
- "2 lightfm 3.5 30.0 1.0 0.0\n",
- "3 lightfm 4.2 30.0 1.0 0.0\n",
- "4 lightfm 5.3 30.0 1.0 0.0\n",
- "5 lightfm 6.1 30.0 1.0 0.0\n",
- "6 lightfm 6.2 30.0 1.0 0.0"
- ]
- },
- "execution_count": 14,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "df_repo_4o__stat"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 24,
- "id": "92ab93c0-d59a-4e3f-b02c-cf5acd3d85b4",
- "metadata": {},
- "outputs": [],
- "source": [
- "df1 = df_repo__stat.query('(repo == \"lightfm\") & (id == \"4.2\")').copy()\n",
- "df1['model'] = ['gpt-3.5-turbo']\n",
- "\n",
- "df2 = df_repo_4o__stat.query('(repo == \"lightfm\") & (id == \"4.2\")').copy()\n",
- "df2['model'] = ['gpt-4o']\n",
- "\n",
- "df_model_comp = pd.concat((df1, df2), axis=0)"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 35,
- "id": "4e511ebd-7779-467f-9b73-87d97681cd92",
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "\n",
- "\n",
- "\n",
- ""
- ],
- "text/plain": [
- "alt.LayerChart(...)"
- ]
- },
- "execution_count": 35,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "base = alt.Chart(df_model_comp).transform_calculate(\n",
- " min=\"max(0, datum.mean-datum.std)\",\n",
- " max=\"min(1, datum.mean+datum.std)\"\n",
- ")\n",
- " \n",
- "# generate the points\n",
- "points = base.mark_point(\n",
- " filled=True,\n",
- " size=50,\n",
- " color='black'\n",
- ").encode(\n",
- " x=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title(\"System Output\").axis(\n",
- " labelExpr=\"datum.value % 0.5 ? null : datum.label\"\n",
- " ),\n",
- " y=alt.Y('model:N').title(\"Model\")#.scale(domainMin=0, domainMax=1).title('Score'),\n",
- ")\n",
- " \n",
- "# generate the error bars\n",
- "errorbars = base.mark_errorbar().encode(\n",
- " x=alt.X(\"min:Q\").title('1 SD'), #\"id:N\",\n",
- " x2=\"max:Q\",\n",
- " y=\"model:N\"\n",
- ")\n",
- "\n",
- "(points + errorbars).configure_axis( \n",
- " labelFontSize=12, \n",
- " titleFontSize=12\n",
- ").properties(\n",
- " height=200,\n",
- " width=400,\n",
- " title={\n",
- " 'text': '30 Runs on Checklist Item: \"Ensure Data File Loads as Expected\"',\n",
- " 'subtitle': \"Ground Truth = 1\"\n",
- " }\n",
- ")"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "id": "7da5dd98-a6fb-4397-8c49-328dea205de8",
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python [conda env:test-creation]",
- "language": "python",
- "name": "conda-env-test-creation-py"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.12.3"
- }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
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-final_report
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-Final Report - Checklists and LLM prompts for efficient and effective test creation in data analysis
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-by John Shiu, Orix Au Yeung, Tony Shum, Yingzi Jin
-
-Executive Summary
-#FIXME
-
-
-Introduction
-
-Problem Statement
-The global artificial intelligence (AI) market is growing exponentially ((Grand-View-Research 2021)), driven by its ability to autonomously make complex decisions impacting various aspects of human life, including financial transactions, autonomous transportation, and medical diagnosis.
-However, ensuring the software quality of these systems remains a significant challenge ((Openja et al. 2023)). Specifically, the lack of a standardized and comprehensive approach to testing machine learning (ML) systems introduces potential risks to stakeholders. For example, inadequate quality assurance in ML systems can lead to severe consequences, such as misinformation ((Belanger 2024)), social bias ((Nunwick 2023)), substantial financial losses ((Regidi 2019)) and safety hazards ((Shepardson 2023))
-Therefore, defining and promoting an industry standard and establishing robust testing methodologies for these systems is crucial. But how?
-
-
-Our Objectives
-We propose to develop testing suites diagnostic tools based on Large Language Models (LLMs) and curate checklists based on ML research papers and best practices to facilitate comprehensive testing of ML systems with flexibility. Our goal is to enhance applied ML software’s trustworthiness, quality, and reproducibility across both the industry and academia (Kapoor and Narayanan 2022).
-
-
-
-Data Science Methods
-
-Current Approaches
-To ensure the reproducibility, trustworthiness, and lack of bias in ML systems, comprehensive testing is essential. We outlined some traditional approaches for assessing the completeness of ML system tests with their advantages and drawbacks as follows.
-
-- Code Coverage
-
-Code coverage measures the proportion of source code of a program executed when a particular test suite is run. Widely used in software development, it quantifies test quality and is scalable due to its short processing time. However, it cannot indicate the reasons or specific ML areas where the test suites fall short under the context of ML system development.
-
-- Manual Evaluation
-
-Manual evaluation involves human experts reviewing the source code, whom can take the business logic into considerations and identify vulnerabilites. It often provides context-specific improvement suggestions and remains one of the most reliable practices ((Openja et al. 2023), (Alexander et al. 2023)). However, it is time-consuming and not scalable due to the scarcity of human experts. Moreover, different experts might put emphasis on different ML test areas and lack a comprehensive and holistic review of the ML system test suites.
-
-
-Our Approach
-Our approach is to deliver an automated code review tool with the best practices of ML test suites embedded. This tool aims to educate ML users on best practices while providing comprehensive evaluations of their ML system codes.
-To establish these best practices, we utilized data from ML research papers and recognized online resources. In collaboration with our partner, we researched industrial best practices ((Team 2023), (Jordan 2020)) and academic literature ((Openja et al. 2023)), and consolidated testing strategies into a human-readable and machine-friendly checklist that can be embedded into the automated tool.
-For development, we collected 11 GitHub repositories of ML projects as studied in (Openja et al. 2023). These Python-based projects include comprehensive test suites. Our tool should be able to analyze these test suites, compare them with embedded best practices, and deliver evaluations.
-We expect that our approach will provide scalable and reliable test suite evaluations for multiple ML projects. However, we recognize that our current best practices only focus on a few high-priority test areas due to time constraints. We plan to expand this scope in the future. While our tool’s evaluations are not yet as reliable as human evaluations, we will quantify its performance.
-
-
-Success Metrics
-To properly assess the performance of our tool which leverages LLMs capability, we have taken reference of the methods in (Alexander et al. 2023) and defined two success metrics: accuracy and consistency. These metrics will help users (researchers, ML engineers, etc.) gauge the trustworthiness of our tool’s evaluation results.
-
-- Accuracy vs Human Expert Judgement
-
-We run our tool on ML projects from (Openja et al. 2023) to obtain evaluation results for each ML checklist item. These results are then compared with our manually assessed ground truth data based on the same criteria. Accuracy is calculated as the proportion of matching results to the total number of results.
-
-- Consistency
-
-We perform multiple runs on each ML project to obtain evaluation results for each checklist item. Consistency is measured by calculating the standard deviation of these results across multiple runs for each project.
-
-
-
-Data Product & Results
-
-Data Products
-Our solution includes a curated checklist for robust ML testing and a Python package for checklist-based evaluation of ML project testing robustness using LLMs. The package is publicly available on the Python Packaging Index (PyPI).
-Justifications for these products are:
-
-- Checklists have been shown to reduce errors in software systems and promote code submissions ((Gawande 2010), (Pineau et al. 2021)).
-- Python is widely used in ML, compatible with various OSes, and integrates well with LLMs. These ensure the ease of use and development.
-
-
-How to use the product
-There are two ways to make use of this package:
-
-As a CLI tool. A runnable command fixml
is provided by the package. Once installed, users can perform codebase evaluations, generate test function specifications, and more by running subcommands under fixml
in the terminal.
-As a high-level API. Users can import necessary components from the package into their own systems. Documentation is available through docstrings.
-
-By offering it as both CLI tool and API, our product is user-friendly to interact with, and versatile to support various use cases such as web application development and scientific research.
-
-
-System Design
-(FIXME To be revised) 
-The design of our package follows object-oriented and SOLID principles, which is fully modularity. Users can easily switch between different prompts, models, and checklists, which facilitates code reusability and collaboration to extend its functionality.
-There are five components in the system of our package:
-
-- Code Analyzer
-
-It extracts test suites from the input codebase, to ensure only the most relevants details are provided to LLMs given token limits.
-
-- Prompt Templates
-
-It stores prompt templates for instructing LLMs to generate responses in the expected format.
-
-- Checklist
-
-It reads the curated checklist from a CSV file into a dictionary with a fixed schema for LLM injection. The package includes a default checklist for distribution.
-
-- Runners
-
-It includes the Evaluator module, which assesses each test suite file using LLMs and outputs evaluation results, and the Generator module, which creates test specifications. Both modules feature validation, retry logic, and record response and relevant information.
-
-- Parsers
-
-It converts Evaluator responses into evaluation reports in various formats (HTML, PDF) using the Jinja template engine, which enables customizable report structures.
-
-
-Checklist Design
-The embedded checklist contains best practices for testing ML pipelines, and is curated from ML research and recognized online resources. Prompt engineering further improves performance. THis helps mitigate LLM hallucinations ((Zhang et al. 2023)) by ensuring strict adherence to the checklist.
-Example checklist structure:
-
-
-
-
-
-
-
-Column
-Description
-
-
-
-
-ID
-Unique Identifier of the checklist item
-
-
-Topic
-Test Area of the checklist item
-
-
-Title
-Title of the checklist item
-
-
-Requirement
-Prompt for the checklist item to be injected into LLMs for evaluation
-
-
-Explanations
-Detailed explanations for human understanding
-
-
-Reference
-References for the checklist item, e.g., academic papers
-
-
-Is Evaluator Applicable
-Indicates if the checklist item is used during evaluation (0 = No, 1 = Yes)
-
-
-
-(FIXME To be revised) 
-
-
-Artifacts
-Using our package results in three artifacts:
-
-- Evaluation Responses
-
-These responses include both LLM evaluation results and process metadata stored in JSON format.This supports downsteam tasks like report rendering and scientific research, etc.
-(FIXME To be revised) schema of the JSON saved & what kind of information is stored
-
-- Evaluation Report
-
-This report presents structured evaluation results of ML projects, which includes a detailed breakdown of completeness scores and reasons for each score.
-(FIXME To be revised) 
-
-- Test Specification Script
-
-Generated test specifications are stored as Python scripts.
-(FIXME To be revised) 
-
-
-
-Evaluation Results
-As described in Success Metrics
, we conducted 30 iterations on each repository from (Openja et al. 2023) and examined the breakdown of the completeness score to assess our tool’s evaluation quality.
-(FIXME: would it be better to show a table of the repos? like how the Openja does?)
-
-- Accuracy
-
-We targeted 3 of the repositories (lightfm
, qlib
, DeepSpeech
) for human evaluation compared our tool’s outputs with the ground truth.
-
-
-Code
-import pandas as pd
-= pd.read_csv('ground_truth.csv')
- gt gt
-
-
-
-
-
-
-
-
-
-id
-title
-DeepSpeech
-lightfm
-qlib
-
-
-
-
-0
-2.1
-Ensure Data File Loads as Expected
-0.0
-1.0
-0.5
-
-
-1
-3.2
-Data in the Expected Format
-0.0
-1.0
-1.0
-
-
-2
-3.5
-Check for Duplicate Records in Data
-0.0
-0.0
-0.0
-
-
-3
-4.2
-Verify Data Split Proportion
-0.0
-1.0
-0.5
-
-
-4
-5.3
-Ensure Model Output Shape Aligns with Expectation
-0.0
-0.5
-1.0
-
-
-5
-6.1
-Verify Evaluation Metrics Implementation
-0.0
-1.0
-1.0
-
-
-6
-6.2
-Evaluate Model's Performance Against Thresholds
-0.0
-1.0
-1.0
-
-
-
-
-
-
-
-
-Ground truth data for the 3 repositories. (1 = fully satisfied, 0.5 = partially satisfied, 0 = not satisfied)
-
-
-
-Code
-# FIXME: jitter-mean-sd plot (checklist item vs. score) for each repo
-import altair as alt
-import pandas as pd
-
-= pd.read_csv('score_stat_by_repo_3.5-turbo.csv')
- df_repo__stat = pd.read_csv('ground_truth.csv')
- gt = gt.melt(id_vars=['id', 'title'], var_name='repo', value_name='ground_truth')
- gt
-= df_repo__stat.merge(gt, on=['id', 'title', 'repo'])
- df_repo__stat_with_gt
-= alt.Chart(
- base 'repo in ["lightfm", "qlib", "DeepSpeech"]')
- df_repo__stat_with_gt.query(
- ).transform_calculate(min="max(0, datum.mean-datum.std)",
- max="min(1, datum.mean+datum.std)"
-
- )
- # generate the points
-= base.mark_point(
- points =True,
- filled=50,
- size='black'
- color
- ).encode(=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title("Score").axis(
- x="datum.value % 0.5 ? null : datum.label"
- labelExpr
- ),=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))#.scale(domainMin=0, domainMax=1).title('Score'),
- y
- )
-# generate the points for ground truth
-= base.mark_point(
- gt_points =True,
- filled=200,
- size='green',
- color="diamond"
- shape
- ).encode(=alt.X('ground_truth:Q'),
- x=alt.Y('id_title:N')
- y
- )
-# generate the error bars
-= base.mark_errorbar().encode(
- errorbars =alt.X("min:Q").title('1 SD'), #"id:N",
- x="max:Q",
- x2="id_title:N"
- y
- )
-+ points + errorbars).facet(
- (gt_points =alt.Column('repo:N').title(None)
- column
- ).configure_axis( =12,
- labelFontSize=12
- titleFontSize )
-
-
-
-
-
-
-
-
-
-Comparison of our system’s satisfaction determination versus the ground truth for each checklist item and repository
-
-Our tool tends to underrate satisfying cases, which often classifies fully satisfied items as partially satisfied and partially satisfied items as not satisfied.
-
-
-Code
-= pd.read_csv('score_by_repo_run_3.5-turbo.csv')
- df_repo_run
-= df_repo_run.merge(gt, on=['id', 'title', 'repo'])
- df_repo_run
-= pd.pivot_table(
- contingency_table
- df_repo_run,='run',
- values=['repo', 'id_title', 'ground_truth'],
- index=['score'],
- columns='count',
- aggfunc=0
- fill_value
- )= ['Repository', 'Checklist Item', 'Ground Truth']
- contingency_table.index.names =[0, 2]) contingency_table.sort_index(level
-
-
-
-
-
-
-
-
-
-
-score
-0.0
-0.5
-1.0
-
-
-Repository
-Checklist Item
-Ground Truth
-
-
-
-
-
-
-
-lightfm
-3.5. Check for Duplicate Records in Data
-0.0
-30
-0
-0
-
-
-5.3. Ensure Model Output Shape Aligns with Expectation
-0.5
-1
-29
-0
-
-
-2.1. Ensure Data File Loads as Expected
-1.0
-0
-0
-30
-
-
-3.2. Data in the Expected Format
-1.0
-0
-30
-0
-
-
-4.2. Verify Data Split Proportion
-1.0
-0
-11
-19
-
-
-6.1. Verify Evaluation Metrics Implementation
-1.0
-0
-5
-25
-
-
-6.2. Evaluate Model's Performance Against Thresholds
-1.0
-0
-1
-29
-
-
-qlib
-3.5. Check for Duplicate Records in Data
-0.0
-23
-7
-0
-
-
-2.1. Ensure Data File Loads as Expected
-0.5
-0
-0
-30
-
-
-4.2. Verify Data Split Proportion
-0.5
-3
-25
-2
-
-
-3.2. Data in the Expected Format
-1.0
-0
-14
-16
-
-
-5.3. Ensure Model Output Shape Aligns with Expectation
-1.0
-1
-25
-4
-
-
-6.1. Verify Evaluation Metrics Implementation
-1.0
-2
-18
-10
-
-
-6.2. Evaluate Model's Performance Against Thresholds
-1.0
-0
-24
-6
-
-
-
-
-
-
-
-
-Contingency table of our system’s satisfaction determination versus the ground truth
-
-The accuracy issue may be attributed to a need to improve our checklist prompts.
-
-- Consistency
-
-As the completeness scores from LLMs contain randomness, we examined the consistency of completeness scores across checklist items and repositories.
-
-
-Code
-= df_repo__stat[['repo', 'std', 'id_title']].pivot(index='repo', columns='id_title').copy()
- stds = [col[1] for col in stds.columns]
- stds.columns = stds.reset_index()
- stds = stds.melt(id_vars='repo', var_name='id_title')
- stds
-= alt.Chart(stds)
- base
-= base.mark_boxplot(
- box ='grey',
- color=0.5,
- opacity=20,
- size
- ).encode(=alt.X('value:Q').title('Standard Deviation of Scores'),
- x=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))
- y
- )
-= base.mark_circle(size=100).encode(
- stripplot =alt.Y(
- y'id_title:N',
- =alt.Axis(ticks=False, grid=True, labels=True),
- axis=alt.Scale(),
- scale
- ), ='value:Q',
- x="jitter:Q",
- yOffset=alt.Color('id_title:N', legend=None),
- color='repo'
- tooltip
- ).transform_calculate(# Generate Gaussian jitter with a Box-Muller transform
- ="sqrt(-2*log(random()))*cos(2*PI*random())"
- jitter
- )
-
- (+ stripplot
- box
- ).configure_view( =None
- stroke
- ).configure_axis( =12,
- labelFontSize=12
- titleFontSize
- ).properties(=300,
- height=600,
- width="30 Runs on Openja's Repositories for each Checklist Item"
- title )
-
-
-
-
-
-
-
-
-
-Standard deviations of the score for each checklist item. Each dot represents the standard deviation of scores from 30 runs of a single repository.
-
-We identified two diverging cases:
-
-- High Standard Deviations
-
-Items like 3.2 Data in the Expected Format
showed high standard deviations across repositories. This might indicate potential poor prompt quality for the LLM to produce consistent results. Improved prompt engineering could address this issue.
-
-- Outliers with High Standard Deviations
-
-Items like 5.3 Ensure Model Output Shape Aligns with Expectation
had outliers with exceptionally high standard deviations, which is possibly due to unorthodox repositories. A careful manual examination is required for a more definitive conclusion.
-
-Comparison of gpt-3.5-turbo
and gpt-4o
-To evaluate if newer LLMs improve performance, we preliminarily compared outputs from gpt-4o
and gpt-3.5-turbo
on the lightfm
repository. We observed that gpt-4o
consistently returned “Satisfied,” which deviated from the ground truth.
-
-
-Code
-# FIXME: jitter-mean-sd plot (checklist item vs. score) for each repo
-= pd.read_csv('score_stat_by_repo_4o.csv')
- df_repo_4o__stat = df_repo_4o__stat.merge(gt, on=['id', 'title', 'repo'])
- df_repo_4o__stat_with_gt 'model'] = 'gpt-4o'
- df_repo_4o__stat_with_gt[
-= df_repo__stat_with_gt.query("repo == 'lightfm'").copy()
- df_repo_35turbo__stat_with_gt 'model'] = 'gpt-3.5-turbo'
- df_repo_35turbo__stat_with_gt[
-= pd.concat(
- df_model_comp
- (df_repo_35turbo__stat_with_gt, df_repo_4o__stat_with_gt), =0
- axis
- )
-= alt.Chart(
- base
- df_model_comp
- ).transform_calculate(min="max(0, datum.mean-datum.std)",
- max="min(1, datum.mean+datum.std)"
-
- )
- # generate the points
-= base.mark_point(
- points =True,
- filled=50,
- size='black'
- color
- ).encode(=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title("Score").axis(
- x="datum.value % 0.5 ? null : datum.label"
- labelExpr
- ),=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))#.scale(domainMin=0, domainMax=1).title('Score'),
- y
- )
-# generate the points for ground truth
-= base.mark_point(
- gt_points =True,
- filled=200,
- size='green',
- color="diamond"
- shape
- ).encode(=alt.X('ground_truth:Q'),
- x=alt.Y('id_title:N')
- y
- )
-# generate the error bars
-= base.mark_errorbar().encode(
- errorbars =alt.X("min:Q").title('1 SD'), #"id:N",
- x="max:Q",
- x2="id_title:N"
- y
- )
-+ points + errorbars).facet(
- (gt_points =alt.Column('model:N').title(None)
- column
- ).configure_axis( =12,
- labelFontSize=12
- titleFontSize )
-
-
-
-
-
-
-
-
-
-Comparison of satisfaction using gpt-4o
versus gpt-3.5-turbo
for each checklist item on lightfm
-
-Further investigation into gpt-4o
is required to determine its effectiveness in system performance.
-
-
-
-
-Conclusion
-
-Wrap Up
-The development of FixML has been driven by the need of better quality assurance in ML systems and the current limitations of traditional testing methods on ML projects. FixML provides curated checklists and automated tools that enhance the evaluation and creation of test suites for ML projects. This in return, significantly reduces the time and effort required to assess the completeness of ML test suites, and thus promotes thorough and efficient assessment on ML projects.
-
-
-Limitation & Future Improvement
-While FixML provides substantial benefits, there are limitations and areas to be addressed in future development:
-
-- Specialized Checklist
-
-The default checklist is general and may not cover all requirements for different ML projects. Future development will focus on creating specialized checklists for tailored evaluations across various domains and project types. Collaboration with ML researchers is welcomed for creating specialized checklists based on specific use cases.
-
-- Enhanced Test Evaluator
-
-Our study reveals the accuracy and consistency issues on the evaluation results using OpenAI GPT-3.5-turbo model. Future improvements involves better prompt engineering techniques and support for multiple LLMs for enhanced performance and flexibility. User guidelines in prompt creation will be provided to facilitate collaboration with ML developers.
-
-- Customized Test Specification
-
-Future developments will integrate project-specific information to produce customized test function skeletons. This may further encourage users to create comprehensive tests.
-
-- Workflow Optimization #FIXME: have to review whether to include as it seems lower priority.
-
-The test evaluator and test specification generator are currently separate. Future improvements could embed a workflow engine that automatically takes actions based on LLM responses. This creates a more cohesive and efficient workflow, recues manual intervention, and improves overall system performance.
-
-- Performance Optimization #FIXME: have to review whether to include as it seems lower priority.
-
-As FixML handles large codebases and complex evaluations, performance optimization is essential. Future developments will focus on improving the speed and accuracy of LLM responses, reducing analysis and report generation times, and ensuring scalability for handling larger and more complex projects.
-By addressing these limitations and implementing future improvements, we aim for FixML to achieve better performance and contribute to the development of better ML systems, and ultimately enhance human life.
-
-
-
-
-
-
-
-
-
-References
-
-Alexander, Rohan, Lindsay Katz, Callandra Moore, and Zane Schwartz. 2023. “Evaluating the Decency and Consistency of Data Validation Tests Generated by LLMs.” arXiv Preprint arXiv:2310.01402.
-
-
-Belanger, Ashley. 2024. “Air Canada Must Honor Refund Policy Invented by Airline’s Chatbot.” Ars Technica. https://arstechnica.com/tech-policy/2024/02/air-canada-must-honor-refund-policy-invented-by-airlines-chatbot/.
-
-
-Gawande, Atul. 2010. Checklist Manifesto, the (HB). Penguin Books India.
-
-
-Grand-View-Research. 2021. “Artificial Intelligence Market Size, Share & Trends Analysis Report by Solution, by Technology (Deep Learning, Machine Learning), by End-Use, by Region, and Segment Forecasts, 2023 2030.” Grand View Research San Francisco.
-
-
-Jordan, Jeremy. 2020. “Effective Testing for Machine Learning Systems.” https://www.jeremyjordan.me/testing-ml/.
-
-
-Kapoor, Sayash, and Arvind Narayanan. 2022. “Leakage and the Reproducibility Crisis in ML-Based Science.” arXiv Preprint arXiv:2207.07048.
-
-
-Nunwick, Alice. 2023. “ITutorGroup Settles AI Hiring Lawsuit Alleging Age Discrimination.” Verdict. https://www.verdict.co.uk/itutorgroup-settles-ai-hiring-lawsuit-alleging-age-discrimination/.
-
-
-Openja, Moses, Foutse Khomh, Armstrong Foundjem, Zhen Ming, Mouna Abidi, Ahmed E Hassan, et al. 2023. “Studying the Practices of Testing Machine Learning Software in the Wild.” arXiv Preprint arXiv:2312.12604.
-
-
-Pineau, Joelle, Philippe Vincent-Lamarre, Koustuv Sinha, Vincent Larivière, Alina Beygelzimer, Florence d’Alché-Buc, Emily Fox, and Hugo Larochelle. 2021. “Improving Reproducibility in Machine Learning Research (a Report from the Neurips 2019 Reproducibility Program).” Journal of Machine Learning Research 22 (164): 1–20.
-
-
-Regidi, Asheeta. 2019. “SEBI’s Circular: The Black Box Conundrum and Misrepresentation in AI-Based Mutual Funds.” Firstpost. https://www.firstpost.com/business/sebis-circular-the-black-box-conundrum-and-misrepresentation-in-ai-based-mutual-funds-6625161.html.
-
-
-Shepardson, David. 2023. “GM’s Cruise Recalling 950 Driverless Cars After Pedestrian Dragged in Crash.” Reuters. https://www.reuters.com/business/autos-transportation/gms-cruise-recall-950-driverless-cars-after-accident-involving-pedestrian-2023-11-08/.
-
-
-Team, Microsoft Industry Solutions Engineering. 2023. “Testing Data Science and MLOps Code.” Testing Data Science and MLOps Code - Engineering Fundamentals Playbook. https://microsoft.github.io/code-with-engineering-playbook/machine-learning/ml-testing/.
-
-
-Zhang, Yue, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, et al. 2023. “Siren’s Song in the AI Ocean: A Survey on Hallucination in Large Language Models.” https://arxiv.org/abs/2309.01219.
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-
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- "text": "Executive Summary\nThe rapid growth of global artificial intelligence (AI) markets presents opportunities and challenges. While AI systems have the potential to impact various aspects of human life, ensuring their software quality remains a significant concern. Current testing strategies for machine learning (ML) systems lack standardization and comprehensiveness, which poses risks to stakeholders, such as financial losses and safety hazards.\nOur proposal addresses this challenge by developing a manually curated checklist which contains best practices and recommendations in testing ML systems. Additionally, an end-to-end application incorporating the checklist and Large Language Model (LLM) will be developed to analyze given ML system source codes and provide test completeness evaluation, missing test recommendations, and test function specification generation. Our proposed solution will enable users to systematically assess, improve, and include tests tailored to their ML systems through a combination of human expertise codified within the checklist and parametric memory from LLMs.\nIn the following weeks, we will develop and refine our product through a swift and efficient iterative development approach, with the aim to deliver a rigorously tested and fully-documented system to our partners by the end of the project."
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- "text": "Introduction\n\nProblem Statement\nThe global artificial intelligence (AI) market is growing exponentially (Grand-View-Research 2021), driven by its ability to autonomously make complex decisions impacting various aspects of human life, including financial transactions, autonomous transportation, and medical diagnosis.\nHowever, ensuring the software quality of these systems remains a significant challenge (Openja et al. 2023). Specifically, the lack of a standardized and comprehensive approach to testing machine learning (ML) systems introduces potential risks to stakeholders. For example, inadequate quality assurance in ML systems can lead to severe consequences, such as substantial financial losses (Regidi 2019) and safety hazards.\nTherefore, defining and promoting an industry standard and establishing robust testing methodologies for these systems is crucial. But how?\n\n\nOur Objectives\nWe propose to develop testing suites diagnostic tools based on Large Language Models (LLMs) and curate a checklist to facilitate comprehensive testing of ML systems with flexibility. Our goal is to enhance applied ML software’s trustworthiness, quality, and reproducibility across both the industry and academia (Kapoor and Narayanan 2022)."
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- "text": "Our Product\nOur solution offers an end-to-end application for evaluating and enhancing the robustness of users’ ML systems.\n\n\n\nMain components and workflow of the proposed system. The checklist would be written in YAML to maximize readability for both humans and machines. We hope this will encourage researchers/users to read, understand and modify the checklist items, while keeping the checklist closely integrated with other components in our system.\n\n\nOne big challenge in utilizing LLMs to reliably and consistently evaluate ML systems is their tendency to generate illogical and/or factually wrong information known as hallucination (Zhang et al. 2023).\nTo combat this, the proposed system will incorporate a checklist (Fig. 1) which would be curated manually and incorporate best practices in software testing and identified areas to be tested inside ML pipeline from human experts and past research.\nThis checklist will be our basis in evaluating the effectiveness and completeness of existing tests in a given codebase. Relevant information will be injected into a prompt template, which the LLMs would then be prompted to follow the checklist exactly during the evaluation.\nHere is an example of how the proposed checklist would be structured:\n%YAML 1.2\n---\nTitle: Checklist for Tests in Machine Learning Projects\nDescription: >\n This is a comprehensive checklist for evaluating the data and ML pipeline\n based on identified testing strategies from experts in the field.\nTest Areas:\n - Topic: General\n Description: >\n The following items describe best practices for all tests to be\n written.\n Tests:\n - Title: Write Descriptive Test Names\n Requirement: >\n Every test function should have a clear, descriptive name\n Explanation: >\n If out tests are narrow and sufficiently descriptive, the test\n name itself may give us enough information to start debugging.\n This also helps us to identify what is being tested inside the\n function.\n References:\n - https://testing.googleblog.com/2014/10/testing-on-toilet-writing-descriptive.html\n - https://testing.googleblog.com/2024/05/test-failures-should-be-actionable.html\n\n - Title: Keep Tests Focused\n Requirement: >\n Each test should only test one scenario, meaning that in each\n test we should only use one set of mock data.\n Explanation: >\n If we test multiple scenarios in a single test, it is hard to\n idenitfy exactly what went wrong. Keeping one scenario in a\n single test helps us to isolate problematic scenarios.\n References:\n - https://testing.googleblog.com/2018/06/testing-on-toilet-keep-tests-focused.html\n\n - Title: Prefer Narrow Assertions in Unit Tests\n Requirement: >\n The assertions inside the tests should be narrow, meaning that\n when checking a complex object, any unrelated behavior should\n not be tested - Assert on only relevant behaviors.\n Explanation: >\n If we have overly wide assertions (such as depending on every\n field of a complex output proto), the test may fail for many\n unimportant reasons. False positives are the opposite of\n actionable.\n References:\n - https://testing.googleblog.com/2024/04/prefer-narrow-assertions-in-unit-tests.html\n\n - Title: Keep Cause and Effect Clear\n Requirement: >\n The modifications and the assertions of an object's behavior\n in a single test should not be far away from each other.\n Explanation: >\n Refrain from using large global test data structures shared\n across multiple unit tests. This will allow for clear\n identification of each test's setup and the cause and effect.\n References:\n - https://testing.googleblog.com/2017/01/testing-on-toilet-keep-cause-and-effect.html\n\n - Topic: Data Presence\n Description: >\n The following items describe tests that need to be done for testing\n the presence of data.\n Tests:\n - Title: ...\n Requirement: ...\n Explanation: ...\n References:\n - ...\n\n - Topic: Data Quality\n Description: >\n The following items describe tests that need to be done for testing\n the quality of data.\n Tests:\n - Title: ...\n Requirement: ...\n Explanation: ...\n References:\n - ...\n\n - Topic: Data Ingestion\n Description: >\n The following items describe tests that need to be done for testing\n if the data is ingestion properly.\n Tests:\n - Title: ...\n Requirement: ...\n Explanation: ...\n References:\n - ...\n\n - Topic: Model Fitting\n Description: >\n The following items describe tests that need to be done for testing\n the model fitting process.\n Tests:\n - Title: ...\n Requirement: ...\n Explanation: ...\n References:\n - ...\n\n - Topic: Model Evaluation\n Description: >\n The following items describe tests that need to be done for testing\n the model evaluation process.\n Tests:\n - Title: ...\n Requirement: ...\n Explanation: ...\n References:\n - ...\n\n - Topic: Artifact Testing\n Description: >\n The following items describe tests that need to be done for testing\n any artifacts that are created from the project.\n Tests:\n - Title: ...\n Requirement: ...\n Explanation: ...\n References:\n - ...\n\nEvaluation Artifacts\nThe end goal of our product is to generate the following three artifacts in relation to the evaluation of a given ML system codebase:\n\nML Test Completeness Score: The application utilizes LLMs and our curated checklist to analyze users’ ML system source code and returns a comprehensive score of the system’s test quality.\nMissing Test Recommendations: The application evaluates the adequacy of existing tests for users’ ML code and offers recommendations for additional, system-specific tests to enhance testing effectiveness.\nTest Function Specification Generation: Users select desired test recommendations and prompt the application to generate test function specifications and references. These are reliable starting points for users to enrich the ML system test suites.\n\n\n\nSuccess Metrics\nOur product’s success will depend on mutation testing of the test functions developed based on our application-generated specifications. The evaluation metric is the success rate of detecting the perturbations introduced to the ML project code.\nOur partners and stakeholders expect a significant improvement in the testing suites of their ML systems post-application usage. As a result, the testing suites will demonstrate high accuracy in detecting faults, ensuring consistency and high quality of ML projects during updates.\n\n\nData Science Approach\n\nData: GitHub Repositories\nIn this project, GitHub repositories are our data.\nTo develop our testing checklist, we will collect 11 repositories studied in (Openja et al. 2023). Additionally, we will collect 377 repositories identified in the study by (Wattanakriengkrai et al. 2022) for our product development.\nFor each repository, we are interested in the metadata and the ML modeling- and test-related source code. The metadata will be retrieved using the GitHub API, while the source code will be downloaded and filtered using our custom scripts. To ensure the relevance of the repositories to our study, we will apply the following criteria for filtering: 1. Repositories that are related to ML systems. 2. Repositories that include test cases. 3. Repositories whose development is written in the Python programming language.\n\n\nMethodologies\nOur data science methodology incorporates human expert evaluation and prompt engineering to assess and enhance the test quality of ML systems.\n\nHuman Expert Evaluation\nWe will begin by formulating a comprehensive checklist for evaluating the data and ML pipeline based on the established testing strategies outlined in (Openja et al. 2023) as the foundational framework. Based on the formulated checklist, our team will manually assess the test quality within each repository data. We will refine the checklist to ensure applicability and robustness when testing general ML systems.\nPrompt Engineering\nWe will engineer the prompts for LLM to incorporate with the ML system code and the curated checklist and to serve various purposes across the three-stage process:\n\nPrompts to examine test cases within the ML system source codes and deliver test completeness scores.\nPrompts to compare and contrast the existing tests and the checklist and deliver recommendations.\nPrompts to generate system-specific test specifications based on user-selected testing recommendations (Schäfer et al. 2023)\n\n\n\n\nIterative Development Approach\nWe begin by setting up a foundational framework based on the selected GitHub repositories and research on ML testing. The framework might not cover all ML systems or testing practices. Therefore, we adopt an iterative development approach by establishing an open and scalable framework to address these considerations. The application will be continuously refined based on contributors’ insights.\nUsers are encouraged to interpret the generated artifacts with a grain of salt and recognize the evolving nature of ML system testing practices."
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- "text": "Delivery Timeline\nOur team follows the timeline below for our product delivery and prioritizes close communication with our partners to ensure that our developments align closely with their expectations.\n\n\n\n\n\n\n\nTimeline\nMilestones\n\n\n\n\nWeek 1 (Apr 29 - May 3)\nPrepare and Present Initial Proposal. Scrape repository data.\n\n\nWeek 2 - 3 (May 6 - 17)\nDeliver Proposal. Deliver Draft of ML Pipeline Test Checklist. Develop Minimum Viable Product (Test Completeness Score, Missing Test Recommendation)\n\n\nWeek 4 - 5 (May 20 - May 31)\nUpdate Test Checklist. Develop Test Function Specification Generator.\n\n\nWeek 6 (Jun 3 - Jun 7)\nUpdate Test Checklist. Wrap Up Product.\n\n\nWeek 7 (Jun 10 - Jun 14)\nFinalize Test Checklist. Perform Product System Test. Present Final Product. Prepare Final Product Report.\n\n\nWeek 8 (Jun 17 - Jun 21)\nDeliver Final Product. Deliver Final Product Report."
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- "text": "Introduction\n\nProblem Statement\nThe global artificial intelligence (AI) market is growing exponentially ((Grand-View-Research 2021)), driven by its ability to autonomously make complex decisions impacting various aspects of human life, including financial transactions, autonomous transportation, and medical diagnosis.\nHowever, ensuring the software quality of these systems remains a significant challenge ((Openja et al. 2023)). Specifically, the lack of a standardized and comprehensive approach to testing machine learning (ML) systems introduces potential risks to stakeholders. For example, inadequate quality assurance in ML systems can lead to severe consequences, such as misinformation ((Belanger 2024)), social bias ((Nunwick 2023)), substantial financial losses ((Regidi 2019)) and safety hazards ((Shepardson 2023))\nTherefore, defining and promoting an industry standard and establishing robust testing methodologies for these systems is crucial. But how?\n\n\nOur Objectives\nWe propose to develop testing suites diagnostic tools based on Large Language Models (LLMs) and curate checklists based on ML research papers and best practices to facilitate comprehensive testing of ML systems with flexibility. Our goal is to enhance applied ML software’s trustworthiness, quality, and reproducibility across both the industry and academia (Kapoor and Narayanan 2022)."
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- "text": "Data Science Methods\n\nCurrent Approaches\nTo ensure the reproducibility, trustworthiness, and lack of bias in ML systems, comprehensive testing is essential. We outlined some traditional approaches for assessing the completeness of ML system tests with their advantages and drawbacks as follows.\n\nCode Coverage\n\nCode coverage measures the proportion of source code of a program executed when a particular test suite is run. Widely used in software development, it quantifies test quality and is scalable due to its short processing time. However, it cannot indicate the reasons or specific ML areas where the test suites fall short under the context of ML system development.\n\nManual Evaluation\n\nManual evaluation involves human experts reviewing the source code, whom can take the business logic into considerations and identify vulnerabilites. It often provides context-specific improvement suggestions and remains one of the most reliable practices ((Openja et al. 2023), (Alexander et al. 2023)). However, it is time-consuming and not scalable due to the scarcity of human experts. Moreover, different experts might put emphasis on different ML test areas and lack a comprehensive and holistic review of the ML system test suites.\n\n\nOur Approach\nOur approach is to deliver an automated code review tool with the best practices of ML test suites embedded. This tool aims to educate ML users on best practices while providing comprehensive evaluations of their ML system codes.\nTo establish these best practices, we utilized data from ML research papers and recognized online resources. In collaboration with our partner, we researched industrial best practices ((Team 2023), (Jordan 2020)) and academic literature ((Openja et al. 2023)), and consolidated testing strategies into a human-readable and machine-friendly checklist that can be embedded into the automated tool.\nFor development, we collected 11 GitHub repositories of ML projects as studied in (Openja et al. 2023). These Python-based projects include comprehensive test suites. Our tool should be able to analyze these test suites, compare them with embedded best practices, and deliver evaluations.\nWe expect that our approach will provide scalable and reliable test suite evaluations for multiple ML projects. However, we recognize that our current best practices only focus on a few high-priority test areas due to time constraints. We plan to expand this scope in the future. While our tool’s evaluations are not yet as reliable as human evaluations, we will quantify its performance.\n\n\nSuccess Metrics\nTo properly assess the performance of our tool which leverages LLMs capability, we have taken reference of the methods in (Alexander et al. 2023) and defined two success metrics: accuracy and consistency. These metrics will help users (researchers, ML engineers, etc.) gauge the trustworthiness of our tool’s evaluation results.\n\nAccuracy vs Human Expert Judgement\n\nWe run our tool on ML projects from (Openja et al. 2023) to obtain evaluation results for each ML checklist item. These results are then compared with our manually assessed ground truth data based on the same criteria. Accuracy is calculated as the proportion of matching results to the total number of results.\n\nConsistency\n\nWe perform multiple runs on each ML project to obtain evaluation results for each checklist item. Consistency is measured by calculating the standard deviation of these results across multiple runs for each project."
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- "text": "Data Product & Results\n\nData Products\nOur solution includes a curated checklist for robust ML testing and a Python package for checklist-based evaluation of ML project testing robustness using LLMs. The package is publicly available on the Python Packaging Index (PyPI).\nJustifications for these products are:\n\nChecklists have been shown to reduce errors in software systems and promote code submissions ((Gawande 2010), (Pineau et al. 2021)).\nPython is widely used in ML, compatible with various OSes, and integrates well with LLMs. These ensure the ease of use and development.\n\n\nHow to use the product\nThere are two ways to make use of this package:\n\nAs a CLI tool. A runnable command fixml is provided by the package. Once installed, users can perform codebase evaluations, generate test function specifications, and more by running subcommands under fixml in the terminal.\nAs a high-level API. Users can import necessary components from the package into their own systems. Documentation is available through docstrings.\n\nBy offering it as both CLI tool and API, our product is user-friendly to interact with, and versatile to support various use cases such as web application development and scientific research.\n\n\nSystem Design\n(FIXME To be revised) \nThe design of our package follows object-oriented and SOLID principles, which is fully modularity. Users can easily switch between different prompts, models, and checklists, which facilitates code reusability and collaboration to extend its functionality.\nThere are five components in the system of our package:\n\nCode Analyzer\n\nIt extracts test suites from the input codebase, to ensure only the most relevants details are provided to LLMs given token limits.\n\nPrompt Templates\n\nIt stores prompt templates for instructing LLMs to generate responses in the expected format.\n\nChecklist\n\nIt reads the curated checklist from a CSV file into a dictionary with a fixed schema for LLM injection. The package includes a default checklist for distribution.\n\nRunners\n\nIt includes the Evaluator module, which assesses each test suite file using LLMs and outputs evaluation results, and the Generator module, which creates test specifications. Both modules feature validation, retry logic, and record response and relevant information.\n\nParsers\n\nIt converts Evaluator responses into evaluation reports in various formats (HTML, PDF) using the Jinja template engine, which enables customizable report structures.\n\n\nChecklist Design\nThe embedded checklist contains best practices for testing ML pipelines, and is curated from ML research and recognized online resources. Prompt engineering further improves performance. THis helps mitigate LLM hallucinations ((Zhang et al. 2023)) by ensuring strict adherence to the checklist.\nExample checklist structure:\n\n\n\n\n\n\n\nColumn\nDescription\n\n\n\n\nID\nUnique Identifier of the checklist item\n\n\nTopic\nTest Area of the checklist item\n\n\nTitle\nTitle of the checklist item\n\n\nRequirement\nPrompt for the checklist item to be injected into LLMs for evaluation\n\n\nExplanations\nDetailed explanations for human understanding\n\n\nReference\nReferences for the checklist item, e.g., academic papers\n\n\nIs Evaluator Applicable\nIndicates if the checklist item is used during evaluation (0 = No, 1 = Yes)\n\n\n\n(FIXME To be revised) \n\n\nArtifacts\nUsing our package results in three artifacts:\n\nEvaluation Responses\n\nThese responses include both LLM evaluation results and process metadata stored in JSON format.This supports downsteam tasks like report rendering and scientific research, etc.\n(FIXME To be revised) schema of the JSON saved & what kind of information is stored\n\nEvaluation Report\n\nThis report presents structured evaluation results of ML projects, which includes a detailed breakdown of completeness scores and reasons for each score.\n(FIXME To be revised) \n\nTest Specification Script\n\nGenerated test specifications are stored as Python scripts.\n(FIXME To be revised) \n\n\n\nEvaluation Results\nAs described in Success Metrics, we conducted 30 iterations on each repository from (Openja et al. 2023) and examined the breakdown of the completeness score to assess our tool’s evaluation quality.\n(FIXME: would it be better to show a table of the repos? like how the Openja does?)\n\nAccuracy\n\nWe targeted 3 of the repositories (lightfm, qlib, DeepSpeech) for human evaluation compared our tool’s outputs with the ground truth.\n\n\nCode\nimport pandas as pd\ngt = pd.read_csv('ground_truth.csv')\ngt\n\n\n\n\n\n\n\n\n\nid\ntitle\nDeepSpeech\nlightfm\nqlib\n\n\n\n\n0\n2.1\nEnsure Data File Loads as Expected\n0.0\n1.0\n0.5\n\n\n1\n3.2\nData in the Expected Format\n0.0\n1.0\n1.0\n\n\n2\n3.5\nCheck for Duplicate Records in Data\n0.0\n0.0\n0.0\n\n\n3\n4.2\nVerify Data Split Proportion\n0.0\n1.0\n0.5\n\n\n4\n5.3\nEnsure Model Output Shape Aligns with Expectation\n0.0\n0.5\n1.0\n\n\n5\n6.1\nVerify Evaluation Metrics Implementation\n0.0\n1.0\n1.0\n\n\n6\n6.2\nEvaluate Model's Performance Against Thresholds\n0.0\n1.0\n1.0\n\n\n\n\n\n\n\n\nGround truth data for the 3 repositories. (1 = fully satisfied, 0.5 = partially satisfied, 0 = not satisfied)\n\n\n\nCode\n# FIXME: jitter-mean-sd plot (checklist item vs. score) for each repo\nimport altair as alt\nimport pandas as pd\n\ndf_repo__stat = pd.read_csv('score_stat_by_repo_3.5-turbo.csv')\ngt = pd.read_csv('ground_truth.csv')\ngt = gt.melt(id_vars=['id', 'title'], var_name='repo', value_name='ground_truth')\n\ndf_repo__stat_with_gt = df_repo__stat.merge(gt, on=['id', 'title', 'repo'])\n\nbase = alt.Chart(\n df_repo__stat_with_gt.query('repo in [\"lightfm\", \"qlib\", \"DeepSpeech\"]')\n).transform_calculate(\n min=\"max(0, datum.mean-datum.std)\",\n max=\"min(1, datum.mean+datum.std)\"\n)\n \n# generate the points\npoints = base.mark_point(\n filled=True,\n size=50,\n color='black'\n).encode(\n x=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title(\"Score\").axis(\n labelExpr=\"datum.value % 0.5 ? null : datum.label\"\n ),\n y=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))#.scale(domainMin=0, domainMax=1).title('Score'),\n)\n\n# generate the points for ground truth\ngt_points = base.mark_point(\n filled=True,\n size=200,\n color='green',\n shape=\"diamond\"\n).encode(\n x=alt.X('ground_truth:Q'),\n y=alt.Y('id_title:N')\n)\n\n# generate the error bars\nerrorbars = base.mark_errorbar().encode(\n x=alt.X(\"min:Q\").title('1 SD'), #\"id:N\",\n x2=\"max:Q\",\n y=\"id_title:N\"\n)\n\n(gt_points + points + errorbars).facet(\n column=alt.Column('repo:N').title(None)\n).configure_axis( \n labelFontSize=12, \n titleFontSize=12\n)\n\n\n\n\n\n\n\n\n\nComparison of our system’s satisfaction determination versus the ground truth for each checklist item and repository\n\nOur tool tends to underrate satisfying cases, which often classifies fully satisfied items as partially satisfied and partially satisfied items as not satisfied.\n\n\nCode\ndf_repo_run = pd.read_csv('score_by_repo_run_3.5-turbo.csv')\n\ndf_repo_run = df_repo_run.merge(gt, on=['id', 'title', 'repo'])\n\ncontingency_table = pd.pivot_table(\n df_repo_run,\n values='run', \n index=['repo', 'id_title', 'ground_truth'], \n columns=['score'],\n aggfunc='count', \n fill_value=0\n)\ncontingency_table.index.names = ['Repository', 'Checklist Item', 'Ground Truth']\ncontingency_table.sort_index(level=[0, 2])\n\n\n\n\n\n\n\n\n\n\nscore\n0.0\n0.5\n1.0\n\n\nRepository\nChecklist Item\nGround Truth\n\n\n\n\n\n\n\nlightfm\n3.5. Check for Duplicate Records in Data\n0.0\n30\n0\n0\n\n\n5.3. Ensure Model Output Shape Aligns with Expectation\n0.5\n1\n29\n0\n\n\n2.1. Ensure Data File Loads as Expected\n1.0\n0\n0\n30\n\n\n3.2. Data in the Expected Format\n1.0\n0\n30\n0\n\n\n4.2. Verify Data Split Proportion\n1.0\n0\n11\n19\n\n\n6.1. Verify Evaluation Metrics Implementation\n1.0\n0\n5\n25\n\n\n6.2. Evaluate Model's Performance Against Thresholds\n1.0\n0\n1\n29\n\n\nqlib\n3.5. Check for Duplicate Records in Data\n0.0\n23\n7\n0\n\n\n2.1. Ensure Data File Loads as Expected\n0.5\n0\n0\n30\n\n\n4.2. Verify Data Split Proportion\n0.5\n3\n25\n2\n\n\n3.2. Data in the Expected Format\n1.0\n0\n14\n16\n\n\n5.3. Ensure Model Output Shape Aligns with Expectation\n1.0\n1\n25\n4\n\n\n6.1. Verify Evaluation Metrics Implementation\n1.0\n2\n18\n10\n\n\n6.2. Evaluate Model's Performance Against Thresholds\n1.0\n0\n24\n6\n\n\n\n\n\n\n\n\nContingency table of our system’s satisfaction determination versus the ground truth\n\nThe accuracy issue may be attributed to a need to improve our checklist prompts.\n\nConsistency\n\nAs the completeness scores from LLMs contain randomness, we examined the consistency of completeness scores across checklist items and repositories.\n\n\nCode\nstds = df_repo__stat[['repo', 'std', 'id_title']].pivot(index='repo', columns='id_title').copy()\nstds.columns = [col[1] for col in stds.columns]\nstds = stds.reset_index()\nstds = stds.melt(id_vars='repo', var_name='id_title')\n\nbase = alt.Chart(stds)\n\nbox = base.mark_boxplot(\n color='grey',\n opacity=0.5,\n size=20,\n).encode(\n x=alt.X('value:Q').title('Standard Deviation of Scores'),\n y=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))\n)\n\nstripplot = base.mark_circle(size=100).encode(\n y=alt.Y( \n 'id_title:N',\n axis=alt.Axis(ticks=False, grid=True, labels=True), \n scale=alt.Scale(), \n ), \n x='value:Q',\n yOffset=\"jitter:Q\",\n color=alt.Color('id_title:N', legend=None),\n tooltip='repo'\n).transform_calculate(\n # Generate Gaussian jitter with a Box-Muller transform\n jitter=\"sqrt(-2*log(random()))*cos(2*PI*random())\"\n)\n\n(\n box + stripplot\n).configure_view( \n stroke=None\n).configure_axis( \n labelFontSize=12, \n titleFontSize=12\n).properties(\n height=300, \n width=600,\n title=\"30 Runs on Openja's Repositories for each Checklist Item\"\n) \n\n\n\n\n\n\n\n\n\nStandard deviations of the score for each checklist item. Each dot represents the standard deviation of scores from 30 runs of a single repository.\n\nWe identified two diverging cases:\n\nHigh Standard Deviations\n\nItems like 3.2 Data in the Expected Format showed high standard deviations across repositories. This might indicate potential poor prompt quality for the LLM to produce consistent results. Improved prompt engineering could address this issue.\n\nOutliers with High Standard Deviations\n\nItems like 5.3 Ensure Model Output Shape Aligns with Expectation had outliers with exceptionally high standard deviations, which is possibly due to unorthodox repositories. A careful manual examination is required for a more definitive conclusion.\n\nComparison of gpt-3.5-turbo and gpt-4o\nTo evaluate if newer LLMs improve performance, we preliminarily compared outputs from gpt-4o and gpt-3.5-turbo on the lightfm repository. We observed that gpt-4o consistently returned “Satisfied,” which deviated from the ground truth.\n\n\nCode\n# FIXME: jitter-mean-sd plot (checklist item vs. score) for each repo\ndf_repo_4o__stat = pd.read_csv('score_stat_by_repo_4o.csv')\ndf_repo_4o__stat_with_gt = df_repo_4o__stat.merge(gt, on=['id', 'title', 'repo'])\ndf_repo_4o__stat_with_gt['model'] = 'gpt-4o'\n\ndf_repo_35turbo__stat_with_gt = df_repo__stat_with_gt.query(\"repo == 'lightfm'\").copy()\ndf_repo_35turbo__stat_with_gt['model'] = 'gpt-3.5-turbo'\n\ndf_model_comp = pd.concat(\n (df_repo_35turbo__stat_with_gt, df_repo_4o__stat_with_gt), \n axis=0\n)\n\nbase = alt.Chart(\n df_model_comp\n).transform_calculate(\n min=\"max(0, datum.mean-datum.std)\",\n max=\"min(1, datum.mean+datum.std)\"\n)\n \n# generate the points\npoints = base.mark_point(\n filled=True,\n size=50,\n color='black'\n).encode(\n x=alt.X('mean:Q').scale(domainMin=0, domainMax=1).title(\"Score\").axis(\n labelExpr=\"datum.value % 0.5 ? null : datum.label\"\n ),\n y=alt.Y('id_title:N', title=None, axis=alt.Axis(labelPadding=10, labelLimit=1000, grid=False))#.scale(domainMin=0, domainMax=1).title('Score'),\n)\n\n# generate the points for ground truth\ngt_points = base.mark_point(\n filled=True,\n size=200,\n color='green',\n shape=\"diamond\"\n).encode(\n x=alt.X('ground_truth:Q'),\n y=alt.Y('id_title:N')\n)\n\n# generate the error bars\nerrorbars = base.mark_errorbar().encode(\n x=alt.X(\"min:Q\").title('1 SD'), #\"id:N\",\n x2=\"max:Q\",\n y=\"id_title:N\"\n)\n\n(gt_points + points + errorbars).facet(\n column=alt.Column('model:N').title(None)\n).configure_axis( \n labelFontSize=12, \n titleFontSize=12\n)\n\n\n\n\n\n\n\n\n\nComparison of satisfaction using gpt-4o versus gpt-3.5-turbo for each checklist item on lightfm\n\nFurther investigation into gpt-4o is required to determine its effectiveness in system performance."
- },
- {
- "objectID": "final_report.html#conclusion",
- "href": "final_report.html#conclusion",
- "title": "Final Report - Checklists and LLM prompts for efficient and effective test creation in data analysis",
- "section": "Conclusion",
- "text": "Conclusion\n\nWrap Up\nThe development of FixML has been driven by the need of better quality assurance in ML systems and the current limitations of traditional testing methods on ML projects. FixML provides curated checklists and automated tools that enhance the evaluation and creation of test suites for ML projects. This in return, significantly reduces the time and effort required to assess the completeness of ML test suites, and thus promotes thorough and efficient assessment on ML projects.\n\n\nLimitation & Future Improvement\nWhile FixML provides substantial benefits, there are limitations and areas to be addressed in future development:\n\nSpecialized Checklist\n\nThe default checklist is general and may not cover all requirements for different ML projects. Future development will focus on creating specialized checklists for tailored evaluations across various domains and project types. Collaboration with ML researchers is welcomed for creating specialized checklists based on specific use cases.\n\nEnhanced Test Evaluator\n\nOur study reveals the accuracy and consistency issues on the evaluation results using OpenAI GPT-3.5-turbo model. Future improvements involves better prompt engineering techniques and support for multiple LLMs for enhanced performance and flexibility. User guidelines in prompt creation will be provided to facilitate collaboration with ML developers.\n\nCustomized Test Specification\n\nFuture developments will integrate project-specific information to produce customized test function skeletons. This may further encourage users to create comprehensive tests.\n\nWorkflow Optimization #FIXME: have to review whether to include as it seems lower priority.\n\nThe test evaluator and test specification generator are currently separate. Future improvements could embed a workflow engine that automatically takes actions based on LLM responses. This creates a more cohesive and efficient workflow, recues manual intervention, and improves overall system performance.\n\nPerformance Optimization #FIXME: have to review whether to include as it seems lower priority.\n\nAs FixML handles large codebases and complex evaluations, performance optimization is essential. Future developments will focus on improving the speed and accuracy of LLM responses, reducing analysis and report generation times, and ensuring scalability for handling larger and more complex projects.\nBy addressing these limitations and implementing future improvements, we aim for FixML to achieve better performance and contribute to the development of better ML systems, and ultimately enhance human life."
- }
-]
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diff --git a/report/final_report/docs/site_libs/bootstrap/bootstrap-icons.woff b/report/final_report/docs/site_libs/bootstrap/bootstrap-icons.woff
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diff --git a/report/final_report/docs/site_libs/bootstrap/bootstrap.min.css b/report/final_report/docs/site_libs/bootstrap/bootstrap.min.css
deleted file mode 100644
index 1cac47c..0000000
--- a/report/final_report/docs/site_libs/bootstrap/bootstrap.min.css
+++ /dev/null
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i=`click.dismiss${t.EVENT_KEY}`,s=t.NAME;j.on(document,i,`[data-bs-dismiss="${s}"]`,(function(i){if(["A","AREA"].includes(this.tagName)&&i.preventDefault(),c(this))return;const o=n(this)||this.closest(`.${s}`);t.getOrCreateInstance(o)[e]()}))};class W extends B{static get NAME(){return"alert"}close(){if(j.trigger(this._element,"close.bs.alert").defaultPrevented)return;this._element.classList.remove("show");const t=this._element.classList.contains("fade");this._queueCallback((()=>this._destroyElement()),this._element,t)}_destroyElement(){this._element.remove(),j.trigger(this._element,"closed.bs.alert"),this.dispose()}static jQueryInterface(t){return this.each((function(){const e=W.getOrCreateInstance(this);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}R(W,"close"),g(W);const $='[data-bs-toggle="button"]';class z extends B{static get NAME(){return"button"}toggle(){this._element.setAttribute("aria-pressed",this._element.classList.toggle("active"))}static jQueryInterface(t){return this.each((function(){const e=z.getOrCreateInstance(this);"toggle"===t&&e[t]()}))}}function q(t){return"true"===t||"false"!==t&&(t===Number(t).toString()?Number(t):""===t||"null"===t?null:t)}function F(t){return t.replace(/[A-Z]/g,(t=>`-${t.toLowerCase()}`))}j.on(document,"click.bs.button.data-api",$,(t=>{t.preventDefault();const e=t.target.closest($);z.getOrCreateInstance(e).toggle()})),g(z);const U={setDataAttribute(t,e,i){t.setAttribute(`data-bs-${F(e)}`,i)},removeDataAttribute(t,e){t.removeAttribute(`data-bs-${F(e)}`)},getDataAttributes(t){if(!t)return{};const e={};return Object.keys(t.dataset).filter((t=>t.startsWith("bs"))).forEach((i=>{let n=i.replace(/^bs/,"");n=n.charAt(0).toLowerCase()+n.slice(1,n.length),e[n]=q(t.dataset[i])})),e},getDataAttribute:(t,e)=>q(t.getAttribute(`data-bs-${F(e)}`)),offset(t){const 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t=t=>this._pointerEvent&&("pen"===t.pointerType||"touch"===t.pointerType),e=e=>{t(e)?this.touchStartX=e.clientX:this._pointerEvent||(this.touchStartX=e.touches[0].clientX)},i=t=>{this.touchDeltaX=t.touches&&t.touches.length>1?0:t.touches[0].clientX-this.touchStartX},n=e=>{t(e)&&(this.touchDeltaX=e.clientX-this.touchStartX),this._handleSwipe(),"hover"===this._config.pause&&(this.pause(),this.touchTimeout&&clearTimeout(this.touchTimeout),this.touchTimeout=setTimeout((t=>this.cycle(t)),500+this._config.interval))};V.find(".carousel-item 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n=this._getDimension();this._element.classList.remove(ct),this._element.classList.add(ht),this._element.style[n]=0,this._addAriaAndCollapsedClass(this._triggerArray,!0),this._isTransitioning=!0;const s=`scroll${n[0].toUpperCase()+n.slice(1)}`;this._queueCallback((()=>{this._isTransitioning=!1,this._element.classList.remove(ht),this._element.classList.add(ct,lt),this._element.style[n]="",j.trigger(this._element,"shown.bs.collapse")}),this._element,!0),this._element.style[n]=`${this._element[s]}px`}hide(){if(this._isTransitioning||!this._isShown())return;if(j.trigger(this._element,"hide.bs.collapse").defaultPrevented)return;const t=this._getDimension();this._element.style[t]=`${this._element.getBoundingClientRect()[t]}px`,u(this._element),this._element.classList.add(ht),this._element.classList.remove(ct,lt);const e=this._triggerArray.length;for(let t=0;t{this._isTransitioning=!1,this._element.classList.remove(ht),this._element.classList.add(ct),j.trigger(this._element,"hidden.bs.collapse")}),this._element,!0)}_isShown(t=this._element){return t.classList.contains(lt)}_getConfig(t){return(t={...rt,...U.getDataAttributes(this._element),...t}).toggle=Boolean(t.toggle),t.parent=r(t.parent),a(ot,t,at),t}_getDimension(){return this._element.classList.contains("collapse-horizontal")?"width":"height"}_initializeChildren(){if(!this._config.parent)return;const t=V.find(ut,this._config.parent);V.find(ft,this._config.parent).filter((e=>!t.includes(e))).forEach((t=>{const e=n(t);e&&this._addAriaAndCollapsedClass([t],this._isShown(e))}))}_addAriaAndCollapsedClass(t,e){t.length&&t.forEach((t=>{e?t.classList.remove(dt):t.classList.add(dt),t.setAttribute("aria-expanded",e)}))}static jQueryInterface(t){return this.each((function(){const e={};"string"==typeof t&&/show|hide/.test(t)&&(e.toggle=!1);const 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e=t.ownerDocument;return e&&e.defaultView||window}return t}function $t(t){return t instanceof Wt(t).Element||t instanceof Element}function zt(t){return t instanceof Wt(t).HTMLElement||t instanceof HTMLElement}function qt(t){return"undefined"!=typeof ShadowRoot&&(t instanceof Wt(t).ShadowRoot||t instanceof ShadowRoot)}const Ft={name:"applyStyles",enabled:!0,phase:"write",fn:function(t){var e=t.state;Object.keys(e.elements).forEach((function(t){var i=e.styles[t]||{},n=e.attributes[t]||{},s=e.elements[t];zt(s)&&Rt(s)&&(Object.assign(s.style,i),Object.keys(n).forEach((function(t){var e=n[t];!1===e?s.removeAttribute(t):s.setAttribute(t,!0===e?"":e)})))}))},effect:function(t){var e=t.state,i={popper:{position:e.options.strategy,left:"0",top:"0",margin:"0"},arrow:{position:"absolute"},reference:{}};return Object.assign(e.elements.popper.style,i.popper),e.styles=i,e.elements.arrow&&Object.assign(e.elements.arrow.style,i.arrow),function(){Object.keys(e.elements).forEach((function(t){var 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Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;ij.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in 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t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;ie+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_resolvePossibleFunction(t){return"function"==typeof t?t.call(this._element):t}_getPopperConfig(t){const e={placement:t,modifiers:[{name:"flip",options:{fallbackPlacements:this._config.fallbackPlacements}},{name:"offset",options:{offset:this._getOffset()}},{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"arrow",options:{element:`.${this.constructor.NAME}-arrow`}},{name:"onChange",enabled:!0,phase:"afterWrite",fn:t=>this._handlePopperPlacementChange(t)}],onFirstUpdate:t=>{t.options.placement!==t.placement&&this._handlePopperPlacementChange(t)}};return{...e,..."function"==typeof this._config.popperConfig?this._config.popperConfig(e):this._config.popperConfig}}_addAttachmentClass(t){this.getTipElement().classList.add(`${this._getBasicClassPrefix()}-${this.updateAttachment(t)}`)}_getAttachment(t){return Ji[t.toUpperCase()]}_setListeners(){this._config.trigger.split(" ").forEach((t=>{if("click"===t)j.on(this._element,this.constructor.Event.CLICK,this._config.selector,(t=>this.toggle(t)));else if("manual"!==t){const e=t===hn?this.constructor.Event.MOUSEENTER:this.constructor.Event.FOCUSIN,i=t===hn?this.constructor.Event.MOUSELEAVE:this.constructor.Event.FOCUSOUT;j.on(this._element,e,this._config.selector,(t=>this._enter(t))),j.on(this._element,i,this._config.selector,(t=>this._leave(t)))}})),this._hideModalHandler=()=>{this._element&&this.hide()},j.on(this._element.closest(ln),cn,this._hideModalHandler),this._config.selector?this._config={...this._config,trigger:"manual",selector:""}:this._fixTitle()}_fixTitle(){const t=this._element.getAttribute("title"),e=typeof this._element.getAttribute("data-bs-original-title");(t||"string"!==e)&&(this._element.setAttribute("data-bs-original-title",t||""),!t||this._element.getAttribute("aria-label")||this._element.textContent||this._element.setAttribute("aria-label",t),this._element.setAttribute("title",""))}_enter(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusin"===t.type?dn:hn]=!0),e.getTipElement().classList.contains(sn)||e._hoverState===on?e._hoverState=on:(clearTimeout(e._timeout),e._hoverState=on,e._config.delay&&e._config.delay.show?e._timeout=setTimeout((()=>{e._hoverState===on&&e.show()}),e._config.delay.show):e.show())}_leave(t,e){e=this._initializeOnDelegatedTarget(t,e),t&&(e._activeTrigger["focusout"===t.type?dn:hn]=e._element.contains(t.relatedTarget)),e._isWithActiveTrigger()||(clearTimeout(e._timeout),e._hoverState=rn,e._config.delay&&e._config.delay.hide?e._timeout=setTimeout((()=>{e._hoverState===rn&&e.hide()}),e._config.delay.hide):e.hide())}_isWithActiveTrigger(){for(const t in this._activeTrigger)if(this._activeTrigger[t])return!0;return!1}_getConfig(t){const e=U.getDataAttributes(this._element);return Object.keys(e).forEach((t=>{Gi.has(t)&&delete e[t]})),(t={...this.constructor.Default,...e,..."object"==typeof t&&t?t:{}}).container=!1===t.container?document.body:r(t.container),"number"==typeof t.delay&&(t.delay={show:t.delay,hide:t.delay}),"number"==typeof t.title&&(t.title=t.title.toString()),"number"==typeof t.content&&(t.content=t.content.toString()),a(Qi,t,this.constructor.DefaultType),t.sanitize&&(t.template=Yi(t.template,t.allowList,t.sanitizeFn)),t}_getDelegateConfig(){const t={};for(const e in this._config)this.constructor.Default[e]!==this._config[e]&&(t[e]=this._config[e]);return t}_cleanTipClass(){const t=this.getTipElement(),e=new RegExp(`(^|\\s)${this._getBasicClassPrefix()}\\S+`,"g"),i=t.getAttribute("class").match(e);null!==i&&i.length>0&&i.map((t=>t.trim())).forEach((e=>t.classList.remove(e)))}_getBasicClassPrefix(){return"bs-tooltip"}_handlePopperPlacementChange(t){const{state:e}=t;e&&(this.tip=e.elements.popper,this._cleanTipClass(),this._addAttachmentClass(this._getAttachment(e.placement)))}_disposePopper(){this._popper&&(this._popper.destroy(),this._popper=null)}static jQueryInterface(t){return this.each((function(){const e=un.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(un);const fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:''},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const e=gn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}}g(gn);const _n="scrollspy",bn={offset:10,method:"auto",target:""},vn={offset:"number",method:"string",target:"(string|element)"},yn="active",wn=".nav-link, .list-group-item, .dropdown-item",En="position";class An extends B{constructor(t,e){super(t),this._scrollElement="BODY"===this._element.tagName?window:this._element,this._config=this._getConfig(e),this._offsets=[],this._targets=[],this._activeTarget=null,this._scrollHeight=0,j.on(this._scrollElement,"scroll.bs.scrollspy",(()=>this._process())),this.refresh(),this._process()}static get Default(){return bn}static get NAME(){return _n}refresh(){const t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return 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diff --git a/report/final_report/docs/site_libs/quarto-html/quarto-syntax-highlighting.css b/report/final_report/docs/site_libs/quarto-html/quarto-syntax-highlighting.css
deleted file mode 100644
index d9fd98f..0000000
--- a/report/final_report/docs/site_libs/quarto-html/quarto-syntax-highlighting.css
+++ /dev/null
@@ -1,203 +0,0 @@
-/* quarto syntax highlight colors */
-:root {
- --quarto-hl-ot-color: #003B4F;
- --quarto-hl-at-color: #657422;
- --quarto-hl-ss-color: #20794D;
- --quarto-hl-an-color: #5E5E5E;
- --quarto-hl-fu-color: #4758AB;
- --quarto-hl-st-color: #20794D;
- --quarto-hl-cf-color: #003B4F;
- --quarto-hl-op-color: #5E5E5E;
- --quarto-hl-er-color: #AD0000;
- --quarto-hl-bn-color: #AD0000;
- --quarto-hl-al-color: #AD0000;
- --quarto-hl-va-color: #111111;
- --quarto-hl-bu-color: inherit;
- --quarto-hl-ex-color: inherit;
- --quarto-hl-pp-color: #AD0000;
- --quarto-hl-in-color: #5E5E5E;
- --quarto-hl-vs-color: #20794D;
- --quarto-hl-wa-color: #5E5E5E;
- --quarto-hl-do-color: #5E5E5E;
- --quarto-hl-im-color: #00769E;
- --quarto-hl-ch-color: #20794D;
- --quarto-hl-dt-color: #AD0000;
- --quarto-hl-fl-color: #AD0000;
- --quarto-hl-co-color: #5E5E5E;
- --quarto-hl-cv-color: #5E5E5E;
- --quarto-hl-cn-color: #8f5902;
- --quarto-hl-sc-color: #5E5E5E;
- --quarto-hl-dv-color: #AD0000;
- --quarto-hl-kw-color: #003B4F;
-}
-
-/* other quarto variables */
-:root {
- --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
-}
-
-pre > code.sourceCode > span {
- color: #003B4F;
-}
-
-code span {
- color: #003B4F;
-}
-
-code.sourceCode > span {
- color: #003B4F;
-}
-
-div.sourceCode,
-div.sourceCode pre.sourceCode {
- color: #003B4F;
-}
-
-code span.ot {
- color: #003B4F;
- font-style: inherit;
-}
-
-code span.at {
- color: #657422;
- font-style: inherit;
-}
-
-code span.ss {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.an {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.fu {
- color: #4758AB;
- font-style: inherit;
-}
-
-code span.st {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.cf {
- color: #003B4F;
- font-style: inherit;
-}
-
-code span.op {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.er {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.bn {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.al {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.va {
- color: #111111;
- font-style: inherit;
-}
-
-code span.bu {
- font-style: inherit;
-}
-
-code span.ex {
- font-style: inherit;
-}
-
-code span.pp {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.in {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.vs {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.wa {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.do {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.im {
- color: #00769E;
- font-style: inherit;
-}
-
-code span.ch {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.dt {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.fl {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.co {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.cv {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.cn {
- color: #8f5902;
- font-style: inherit;
-}
-
-code span.sc {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.dv {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.kw {
- color: #003B4F;
- font-style: inherit;
-}
-
-.prevent-inlining {
- content: "";
-}
-
-/*# sourceMappingURL=debc5d5d77c3f9108843748ff7464032.css.map */
diff --git a/report/final_report/docs/site_libs/quarto-html/quarto.js b/report/final_report/docs/site_libs/quarto-html/quarto.js
deleted file mode 100644
index c3935c7..0000000
--- a/report/final_report/docs/site_libs/quarto-html/quarto.js
+++ /dev/null
@@ -1,902 +0,0 @@
-const sectionChanged = new CustomEvent("quarto-sectionChanged", {
- detail: {},
- bubbles: true,
- cancelable: false,
- composed: false,
-});
-
-const layoutMarginEls = () => {
- // Find any conflicting margin elements and add margins to the
- // top to prevent overlap
- const marginChildren = window.document.querySelectorAll(
- ".column-margin.column-container > * "
- );
-
- let lastBottom = 0;
- for (const marginChild of marginChildren) {
- if (marginChild.offsetParent !== null) {
- // clear the top margin so we recompute it
- marginChild.style.marginTop = null;
- const top = marginChild.getBoundingClientRect().top + window.scrollY;
- console.log({
- childtop: marginChild.getBoundingClientRect().top,
- scroll: window.scrollY,
- top,
- lastBottom,
- });
- if (top < lastBottom) {
- const margin = lastBottom - top;
- marginChild.style.marginTop = `${margin}px`;
- }
- const styles = window.getComputedStyle(marginChild);
- const marginTop = parseFloat(styles["marginTop"]);
-
- console.log({
- top,
- height: marginChild.getBoundingClientRect().height,
- marginTop,
- total: top + marginChild.getBoundingClientRect().height + marginTop,
- });
- lastBottom = top + marginChild.getBoundingClientRect().height + marginTop;
- }
- }
-};
-
-window.document.addEventListener("DOMContentLoaded", function (_event) {
- // Recompute the position of margin elements anytime the body size changes
- if (window.ResizeObserver) {
- const resizeObserver = new window.ResizeObserver(
- throttle(layoutMarginEls, 50)
- );
- resizeObserver.observe(window.document.body);
- }
-
- const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]');
- const sidebarEl = window.document.getElementById("quarto-sidebar");
- const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left");
- const marginSidebarEl = window.document.getElementById(
- "quarto-margin-sidebar"
- );
- // function to determine whether the element has a previous sibling that is active
- const prevSiblingIsActiveLink = (el) => {
- const sibling = el.previousElementSibling;
- if (sibling && sibling.tagName === "A") {
- return sibling.classList.contains("active");
- } else {
- return false;
- }
- };
-
- // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior)
- function fireSlideEnter(e) {
- const event = window.document.createEvent("Event");
- event.initEvent("slideenter", true, true);
- window.document.dispatchEvent(event);
- }
- const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]');
- tabs.forEach((tab) => {
- tab.addEventListener("shown.bs.tab", fireSlideEnter);
- });
-
- // fire slideEnter for tabby tab activations (for htmlwidget resize behavior)
- document.addEventListener("tabby", fireSlideEnter, false);
-
- // Track scrolling and mark TOC links as active
- // get table of contents and sidebar (bail if we don't have at least one)
- const tocLinks = tocEl
- ? [...tocEl.querySelectorAll("a[data-scroll-target]")]
- : [];
- const makeActive = (link) => tocLinks[link].classList.add("active");
- const removeActive = (link) => tocLinks[link].classList.remove("active");
- const removeAllActive = () =>
- [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link));
-
- // activate the anchor for a section associated with this TOC entry
- tocLinks.forEach((link) => {
- link.addEventListener("click", () => {
- if (link.href.indexOf("#") !== -1) {
- const anchor = link.href.split("#")[1];
- const heading = window.document.querySelector(
- `[data-anchor-id=${anchor}]`
- );
- if (heading) {
- // Add the class
- heading.classList.add("reveal-anchorjs-link");
-
- // function to show the anchor
- const handleMouseout = () => {
- heading.classList.remove("reveal-anchorjs-link");
- heading.removeEventListener("mouseout", handleMouseout);
- };
-
- // add a function to clear the anchor when the user mouses out of it
- heading.addEventListener("mouseout", handleMouseout);
- }
- }
- });
- });
-
- const sections = tocLinks.map((link) => {
- const target = link.getAttribute("data-scroll-target");
- if (target.startsWith("#")) {
- return window.document.getElementById(decodeURI(`${target.slice(1)}`));
- } else {
- return window.document.querySelector(decodeURI(`${target}`));
- }
- });
-
- const sectionMargin = 200;
- let currentActive = 0;
- // track whether we've initialized state the first time
- let init = false;
-
- const updateActiveLink = () => {
- // The index from bottom to top (e.g. reversed list)
- let sectionIndex = -1;
- if (
- window.innerHeight + window.pageYOffset >=
- window.document.body.offsetHeight
- ) {
- sectionIndex = 0;
- } else {
- sectionIndex = [...sections].reverse().findIndex((section) => {
- if (section) {
- return window.pageYOffset >= section.offsetTop - sectionMargin;
- } else {
- return false;
- }
- });
- }
- if (sectionIndex > -1) {
- const current = sections.length - sectionIndex - 1;
- if (current !== currentActive) {
- removeAllActive();
- currentActive = current;
- makeActive(current);
- if (init) {
- window.dispatchEvent(sectionChanged);
- }
- init = true;
- }
- }
- };
-
- const inHiddenRegion = (top, bottom, hiddenRegions) => {
- for (const region of hiddenRegions) {
- if (top <= region.bottom && bottom >= region.top) {
- return true;
- }
- }
- return false;
- };
-
- const categorySelector = "header.quarto-title-block .quarto-category";
- const activateCategories = (href) => {
- // Find any categories
- // Surround them with a link pointing back to:
- // #category=Authoring
- try {
- const categoryEls = window.document.querySelectorAll(categorySelector);
- for (const categoryEl of categoryEls) {
- const categoryText = categoryEl.textContent;
- if (categoryText) {
- const link = `${href}#category=${encodeURIComponent(categoryText)}`;
- const linkEl = window.document.createElement("a");
- linkEl.setAttribute("href", link);
- for (const child of categoryEl.childNodes) {
- linkEl.append(child);
- }
- categoryEl.appendChild(linkEl);
- }
- }
- } catch {
- // Ignore errors
- }
- };
- function hasTitleCategories() {
- return window.document.querySelector(categorySelector) !== null;
- }
-
- function offsetRelativeUrl(url) {
- const offset = getMeta("quarto:offset");
- return offset ? offset + url : url;
- }
-
- function offsetAbsoluteUrl(url) {
- const offset = getMeta("quarto:offset");
- const baseUrl = new URL(offset, window.location);
-
- const projRelativeUrl = url.replace(baseUrl, "");
- if (projRelativeUrl.startsWith("/")) {
- return projRelativeUrl;
- } else {
- return "/" + projRelativeUrl;
- }
- }
-
- // read a meta tag value
- function getMeta(metaName) {
- const metas = window.document.getElementsByTagName("meta");
- for (let i = 0; i < metas.length; i++) {
- if (metas[i].getAttribute("name") === metaName) {
- return metas[i].getAttribute("content");
- }
- }
- return "";
- }
-
- async function findAndActivateCategories() {
- const currentPagePath = offsetAbsoluteUrl(window.location.href);
- const response = await fetch(offsetRelativeUrl("listings.json"));
- if (response.status == 200) {
- return response.json().then(function (listingPaths) {
- const listingHrefs = [];
- for (const listingPath of listingPaths) {
- const pathWithoutLeadingSlash = listingPath.listing.substring(1);
- for (const item of listingPath.items) {
- if (
- item === currentPagePath ||
- item === currentPagePath + "index.html"
- ) {
- // Resolve this path against the offset to be sure
- // we already are using the correct path to the listing
- // (this adjusts the listing urls to be rooted against
- // whatever root the page is actually running against)
- const relative = offsetRelativeUrl(pathWithoutLeadingSlash);
- const baseUrl = window.location;
- const resolvedPath = new URL(relative, baseUrl);
- listingHrefs.push(resolvedPath.pathname);
- break;
- }
- }
- }
-
- // Look up the tree for a nearby linting and use that if we find one
- const nearestListing = findNearestParentListing(
- offsetAbsoluteUrl(window.location.pathname),
- listingHrefs
- );
- if (nearestListing) {
- activateCategories(nearestListing);
- } else {
- // See if the referrer is a listing page for this item
- const referredRelativePath = offsetAbsoluteUrl(document.referrer);
- const referrerListing = listingHrefs.find((listingHref) => {
- const isListingReferrer =
- listingHref === referredRelativePath ||
- listingHref === referredRelativePath + "index.html";
- return isListingReferrer;
- });
-
- if (referrerListing) {
- // Try to use the referrer if possible
- activateCategories(referrerListing);
- } else if (listingHrefs.length > 0) {
- // Otherwise, just fall back to the first listing
- activateCategories(listingHrefs[0]);
- }
- }
- });
- }
- }
- if (hasTitleCategories()) {
- findAndActivateCategories();
- }
-
- const findNearestParentListing = (href, listingHrefs) => {
- if (!href || !listingHrefs) {
- return undefined;
- }
- // Look up the tree for a nearby linting and use that if we find one
- const relativeParts = href.substring(1).split("/");
- while (relativeParts.length > 0) {
- const path = relativeParts.join("/");
- for (const listingHref of listingHrefs) {
- if (listingHref.startsWith(path)) {
- return listingHref;
- }
- }
- relativeParts.pop();
- }
-
- return undefined;
- };
-
- const manageSidebarVisiblity = (el, placeholderDescriptor) => {
- let isVisible = true;
- let elRect;
-
- return (hiddenRegions) => {
- if (el === null) {
- return;
- }
-
- // Find the last element of the TOC
- const lastChildEl = el.lastElementChild;
-
- if (lastChildEl) {
- // Converts the sidebar to a menu
- const convertToMenu = () => {
- for (const child of el.children) {
- child.style.opacity = 0;
- child.style.overflow = "hidden";
- }
-
- nexttick(() => {
- const toggleContainer = window.document.createElement("div");
- toggleContainer.style.width = "100%";
- toggleContainer.classList.add("zindex-over-content");
- toggleContainer.classList.add("quarto-sidebar-toggle");
- toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom
- toggleContainer.id = placeholderDescriptor.id;
- toggleContainer.style.position = "fixed";
-
- const toggleIcon = window.document.createElement("i");
- toggleIcon.classList.add("quarto-sidebar-toggle-icon");
- toggleIcon.classList.add("bi");
- toggleIcon.classList.add("bi-caret-down-fill");
-
- const toggleTitle = window.document.createElement("div");
- const titleEl = window.document.body.querySelector(
- placeholderDescriptor.titleSelector
- );
- if (titleEl) {
- toggleTitle.append(
- titleEl.textContent || titleEl.innerText,
- toggleIcon
- );
- }
- toggleTitle.classList.add("zindex-over-content");
- toggleTitle.classList.add("quarto-sidebar-toggle-title");
- toggleContainer.append(toggleTitle);
-
- const toggleContents = window.document.createElement("div");
- toggleContents.classList = el.classList;
- toggleContents.classList.add("zindex-over-content");
- toggleContents.classList.add("quarto-sidebar-toggle-contents");
- for (const child of el.children) {
- if (child.id === "toc-title") {
- continue;
- }
-
- const clone = child.cloneNode(true);
- clone.style.opacity = 1;
- clone.style.display = null;
- toggleContents.append(clone);
- }
- toggleContents.style.height = "0px";
- const positionToggle = () => {
- // position the element (top left of parent, same width as parent)
- if (!elRect) {
- elRect = el.getBoundingClientRect();
- }
- toggleContainer.style.left = `${elRect.left}px`;
- toggleContainer.style.top = `${elRect.top}px`;
- toggleContainer.style.width = `${elRect.width}px`;
- };
- positionToggle();
-
- toggleContainer.append(toggleContents);
- el.parentElement.prepend(toggleContainer);
-
- // Process clicks
- let tocShowing = false;
- // Allow the caller to control whether this is dismissed
- // when it is clicked (e.g. sidebar navigation supports
- // opening and closing the nav tree, so don't dismiss on click)
- const clickEl = placeholderDescriptor.dismissOnClick
- ? toggleContainer
- : toggleTitle;
-
- const closeToggle = () => {
- if (tocShowing) {
- toggleContainer.classList.remove("expanded");
- toggleContents.style.height = "0px";
- tocShowing = false;
- }
- };
-
- // Get rid of any expanded toggle if the user scrolls
- window.document.addEventListener(
- "scroll",
- throttle(() => {
- closeToggle();
- }, 50)
- );
-
- // Handle positioning of the toggle
- window.addEventListener(
- "resize",
- throttle(() => {
- elRect = undefined;
- positionToggle();
- }, 50)
- );
-
- window.addEventListener("quarto-hrChanged", () => {
- elRect = undefined;
- });
-
- // Process the click
- clickEl.onclick = () => {
- if (!tocShowing) {
- toggleContainer.classList.add("expanded");
- toggleContents.style.height = null;
- tocShowing = true;
- } else {
- closeToggle();
- }
- };
- });
- };
-
- // Converts a sidebar from a menu back to a sidebar
- const convertToSidebar = () => {
- for (const child of el.children) {
- child.style.opacity = 1;
- child.style.overflow = null;
- }
-
- const placeholderEl = window.document.getElementById(
- placeholderDescriptor.id
- );
- if (placeholderEl) {
- placeholderEl.remove();
- }
-
- el.classList.remove("rollup");
- };
-
- if (isReaderMode()) {
- convertToMenu();
- isVisible = false;
- } else {
- // Find the top and bottom o the element that is being managed
- const elTop = el.offsetTop;
- const elBottom =
- elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;
-
- if (!isVisible) {
- // If the element is current not visible reveal if there are
- // no conflicts with overlay regions
- if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
- convertToSidebar();
- isVisible = true;
- }
- } else {
- // If the element is visible, hide it if it conflicts with overlay regions
- // and insert a placeholder toggle (or if we're in reader mode)
- if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
- convertToMenu();
- isVisible = false;
- }
- }
- }
- }
- };
- };
-
- const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]');
- for (const tabEl of tabEls) {
- const id = tabEl.getAttribute("data-bs-target");
- if (id) {
- const columnEl = document.querySelector(
- `${id} .column-margin, .tabset-margin-content`
- );
- if (columnEl)
- tabEl.addEventListener("shown.bs.tab", function (event) {
- const el = event.srcElement;
- if (el) {
- const visibleCls = `${el.id}-margin-content`;
- // walk up until we find a parent tabset
- let panelTabsetEl = el.parentElement;
- while (panelTabsetEl) {
- if (panelTabsetEl.classList.contains("panel-tabset")) {
- break;
- }
- panelTabsetEl = panelTabsetEl.parentElement;
- }
-
- if (panelTabsetEl) {
- const prevSib = panelTabsetEl.previousElementSibling;
- if (
- prevSib &&
- prevSib.classList.contains("tabset-margin-container")
- ) {
- const childNodes = prevSib.querySelectorAll(
- ".tabset-margin-content"
- );
- for (const childEl of childNodes) {
- if (childEl.classList.contains(visibleCls)) {
- childEl.classList.remove("collapse");
- } else {
- childEl.classList.add("collapse");
- }
- }
- }
- }
- }
-
- layoutMarginEls();
- });
- }
- }
-
- // Manage the visibility of the toc and the sidebar
- const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
- id: "quarto-toc-toggle",
- titleSelector: "#toc-title",
- dismissOnClick: true,
- });
- const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
- id: "quarto-sidebarnav-toggle",
- titleSelector: ".title",
- dismissOnClick: false,
- });
- let tocLeftScrollVisibility;
- if (leftTocEl) {
- tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
- id: "quarto-lefttoc-toggle",
- titleSelector: "#toc-title",
- dismissOnClick: true,
- });
- }
-
- // Find the first element that uses formatting in special columns
- const conflictingEls = window.document.body.querySelectorAll(
- '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
- );
-
- // Filter all the possibly conflicting elements into ones
- // the do conflict on the left or ride side
- const arrConflictingEls = Array.from(conflictingEls);
- const leftSideConflictEls = arrConflictingEls.filter((el) => {
- if (el.tagName === "ASIDE") {
- return false;
- }
- return Array.from(el.classList).find((className) => {
- return (
- className !== "column-body" &&
- className.startsWith("column-") &&
- !className.endsWith("right") &&
- !className.endsWith("container") &&
- className !== "column-margin"
- );
- });
- });
- const rightSideConflictEls = arrConflictingEls.filter((el) => {
- if (el.tagName === "ASIDE") {
- return true;
- }
-
- const hasMarginCaption = Array.from(el.classList).find((className) => {
- return className == "margin-caption";
- });
- if (hasMarginCaption) {
- return true;
- }
-
- return Array.from(el.classList).find((className) => {
- return (
- className !== "column-body" &&
- !className.endsWith("container") &&
- className.startsWith("column-") &&
- !className.endsWith("left")
- );
- });
- });
-
- const kOverlapPaddingSize = 10;
- function toRegions(els) {
- return els.map((el) => {
- const boundRect = el.getBoundingClientRect();
- const top =
- boundRect.top +
- document.documentElement.scrollTop -
- kOverlapPaddingSize;
- return {
- top,
- bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
- };
- });
- }
-
- let hasObserved = false;
- const visibleItemObserver = (els) => {
- let visibleElements = [...els];
- const intersectionObserver = new IntersectionObserver(
- (entries, _observer) => {
- entries.forEach((entry) => {
- if (entry.isIntersecting) {
- if (visibleElements.indexOf(entry.target) === -1) {
- visibleElements.push(entry.target);
- }
- } else {
- visibleElements = visibleElements.filter((visibleEntry) => {
- return visibleEntry !== entry;
- });
- }
- });
-
- if (!hasObserved) {
- hideOverlappedSidebars();
- }
- hasObserved = true;
- },
- {}
- );
- els.forEach((el) => {
- intersectionObserver.observe(el);
- });
-
- return {
- getVisibleEntries: () => {
- return visibleElements;
- },
- };
- };
-
- const rightElementObserver = visibleItemObserver(rightSideConflictEls);
- const leftElementObserver = visibleItemObserver(leftSideConflictEls);
-
- const hideOverlappedSidebars = () => {
- marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries()));
- sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries()));
- if (tocLeftScrollVisibility) {
- tocLeftScrollVisibility(
- toRegions(leftElementObserver.getVisibleEntries())
- );
- }
- };
-
- window.quartoToggleReader = () => {
- // Applies a slow class (or removes it)
- // to update the transition speed
- const slowTransition = (slow) => {
- const manageTransition = (id, slow) => {
- const el = document.getElementById(id);
- if (el) {
- if (slow) {
- el.classList.add("slow");
- } else {
- el.classList.remove("slow");
- }
- }
- };
-
- manageTransition("TOC", slow);
- manageTransition("quarto-sidebar", slow);
- };
- const readerMode = !isReaderMode();
- setReaderModeValue(readerMode);
-
- // If we're entering reader mode, slow the transition
- if (readerMode) {
- slowTransition(readerMode);
- }
- highlightReaderToggle(readerMode);
- hideOverlappedSidebars();
-
- // If we're exiting reader mode, restore the non-slow transition
- if (!readerMode) {
- slowTransition(!readerMode);
- }
- };
-
- const highlightReaderToggle = (readerMode) => {
- const els = document.querySelectorAll(".quarto-reader-toggle");
- if (els) {
- els.forEach((el) => {
- if (readerMode) {
- el.classList.add("reader");
- } else {
- el.classList.remove("reader");
- }
- });
- }
- };
-
- const setReaderModeValue = (val) => {
- if (window.location.protocol !== "file:") {
- window.localStorage.setItem("quarto-reader-mode", val);
- } else {
- localReaderMode = val;
- }
- };
-
- const isReaderMode = () => {
- if (window.location.protocol !== "file:") {
- return window.localStorage.getItem("quarto-reader-mode") === "true";
- } else {
- return localReaderMode;
- }
- };
- let localReaderMode = null;
-
- const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded");
- const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1;
-
- // Walk the TOC and collapse/expand nodes
- // Nodes are expanded if:
- // - they are top level
- // - they have children that are 'active' links
- // - they are directly below an link that is 'active'
- const walk = (el, depth) => {
- // Tick depth when we enter a UL
- if (el.tagName === "UL") {
- depth = depth + 1;
- }
-
- // It this is active link
- let isActiveNode = false;
- if (el.tagName === "A" && el.classList.contains("active")) {
- isActiveNode = true;
- }
-
- // See if there is an active child to this element
- let hasActiveChild = false;
- for (child of el.children) {
- hasActiveChild = walk(child, depth) || hasActiveChild;
- }
-
- // Process the collapse state if this is an UL
- if (el.tagName === "UL") {
- if (tocOpenDepth === -1 && depth > 1) {
- el.classList.add("collapse");
- } else if (
- depth <= tocOpenDepth ||
- hasActiveChild ||
- prevSiblingIsActiveLink(el)
- ) {
- el.classList.remove("collapse");
- } else {
- el.classList.add("collapse");
- }
-
- // untick depth when we leave a UL
- depth = depth - 1;
- }
- return hasActiveChild || isActiveNode;
- };
-
- // walk the TOC and expand / collapse any items that should be shown
-
- if (tocEl) {
- walk(tocEl, 0);
- updateActiveLink();
- }
-
- // Throttle the scroll event and walk peridiocally
- window.document.addEventListener(
- "scroll",
- throttle(() => {
- if (tocEl) {
- updateActiveLink();
- walk(tocEl, 0);
- }
- if (!isReaderMode()) {
- hideOverlappedSidebars();
- }
- }, 5)
- );
- window.addEventListener(
- "resize",
- throttle(() => {
- if (!isReaderMode()) {
- hideOverlappedSidebars();
- }
- }, 10)
- );
- hideOverlappedSidebars();
- highlightReaderToggle(isReaderMode());
-});
-
-// grouped tabsets
-window.addEventListener("pageshow", (_event) => {
- function getTabSettings() {
- const data = localStorage.getItem("quarto-persistent-tabsets-data");
- if (!data) {
- localStorage.setItem("quarto-persistent-tabsets-data", "{}");
- return {};
- }
- if (data) {
- return JSON.parse(data);
- }
- }
-
- function setTabSettings(data) {
- localStorage.setItem(
- "quarto-persistent-tabsets-data",
- JSON.stringify(data)
- );
- }
-
- function setTabState(groupName, groupValue) {
- const data = getTabSettings();
- data[groupName] = groupValue;
- setTabSettings(data);
- }
-
- function toggleTab(tab, active) {
- const tabPanelId = tab.getAttribute("aria-controls");
- const tabPanel = document.getElementById(tabPanelId);
- if (active) {
- tab.classList.add("active");
- tabPanel.classList.add("active");
- } else {
- tab.classList.remove("active");
- tabPanel.classList.remove("active");
- }
- }
-
- function toggleAll(selectedGroup, selectorsToSync) {
- for (const [thisGroup, tabs] of Object.entries(selectorsToSync)) {
- const active = selectedGroup === thisGroup;
- for (const tab of tabs) {
- toggleTab(tab, active);
- }
- }
- }
-
- function findSelectorsToSyncByLanguage() {
- const result = {};
- const tabs = Array.from(
- document.querySelectorAll(`div[data-group] a[id^='tabset-']`)
- );
- for (const item of tabs) {
- const div = item.parentElement.parentElement.parentElement;
- const group = div.getAttribute("data-group");
- if (!result[group]) {
- result[group] = {};
- }
- const selectorsToSync = result[group];
- const value = item.innerHTML;
- if (!selectorsToSync[value]) {
- selectorsToSync[value] = [];
- }
- selectorsToSync[value].push(item);
- }
- return result;
- }
-
- function setupSelectorSync() {
- const selectorsToSync = findSelectorsToSyncByLanguage();
- Object.entries(selectorsToSync).forEach(([group, tabSetsByValue]) => {
- Object.entries(tabSetsByValue).forEach(([value, items]) => {
- items.forEach((item) => {
- item.addEventListener("click", (_event) => {
- setTabState(group, value);
- toggleAll(value, selectorsToSync[group]);
- });
- });
- });
- });
- return selectorsToSync;
- }
-
- const selectorsToSync = setupSelectorSync();
- for (const [group, selectedName] of Object.entries(getTabSettings())) {
- const selectors = selectorsToSync[group];
- // it's possible that stale state gives us empty selections, so we explicitly check here.
- if (selectors) {
- toggleAll(selectedName, selectors);
- }
- }
-});
-
-function throttle(func, wait) {
- let waiting = false;
- return function () {
- if (!waiting) {
- func.apply(this, arguments);
- waiting = true;
- setTimeout(function () {
- waiting = false;
- }, wait);
- }
- };
-}
-
-function nexttick(func) {
- return setTimeout(func, 0);
-}
diff --git a/report/final_report/docs/site_libs/quarto-html/tippy.css b/report/final_report/docs/site_libs/quarto-html/tippy.css
deleted file mode 100644
index e6ae635..0000000
--- a/report/final_report/docs/site_libs/quarto-html/tippy.css
+++ /dev/null
@@ -1 +0,0 @@
-.tippy-box[data-animation=fade][data-state=hidden]{opacity:0}[data-tippy-root]{max-width:calc(100vw - 10px)}.tippy-box{position:relative;background-color:#333;color:#fff;border-radius:4px;font-size:14px;line-height:1.4;white-space:normal;outline:0;transition-property:transform,visibility,opacity}.tippy-box[data-placement^=top]>.tippy-arrow{bottom:0}.tippy-box[data-placement^=top]>.tippy-arrow:before{bottom:-7px;left:0;border-width:8px 8px 0;border-top-color:initial;transform-origin:center top}.tippy-box[data-placement^=bottom]>.tippy-arrow{top:0}.tippy-box[data-placement^=bottom]>.tippy-arrow:before{top:-7px;left:0;border-width:0 8px 8px;border-bottom-color:initial;transform-origin:center bottom}.tippy-box[data-placement^=left]>.tippy-arrow{right:0}.tippy-box[data-placement^=left]>.tippy-arrow:before{border-width:8px 0 8px 8px;border-left-color:initial;right:-7px;transform-origin:center left}.tippy-box[data-placement^=right]>.tippy-arrow{left:0}.tippy-box[data-placement^=right]>.tippy-arrow:before{left:-7px;border-width:8px 8px 8px 0;border-right-color:initial;transform-origin:center right}.tippy-box[data-inertia][data-state=visible]{transition-timing-function:cubic-bezier(.54,1.5,.38,1.11)}.tippy-arrow{width:16px;height:16px;color:#333}.tippy-arrow:before{content:"";position:absolute;border-color:transparent;border-style:solid}.tippy-content{position:relative;padding:5px 9px;z-index:1}
\ No newline at end of file
diff --git a/report/final_report/docs/site_libs/quarto-html/tippy.umd.min.js b/report/final_report/docs/site_libs/quarto-html/tippy.umd.min.js
deleted file mode 100644
index ca292be..0000000
--- a/report/final_report/docs/site_libs/quarto-html/tippy.umd.min.js
+++ /dev/null
@@ -1,2 +0,0 @@
-!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?module.exports=t(require("@popperjs/core")):"function"==typeof define&&define.amd?define(["@popperjs/core"],t):(e=e||self).tippy=t(e.Popper)}(this,(function(e){"use strict";var t={passive:!0,capture:!0},n=function(){return document.body};function r(e,t,n){if(Array.isArray(e)){var r=e[t];return null==r?Array.isArray(n)?n[t]:n:r}return e}function o(e,t){var n={}.toString.call(e);return 0===n.indexOf("[object")&&n.indexOf(t+"]")>-1}function i(e,t){return"function"==typeof e?e.apply(void 0,t):e}function a(e,t){return 0===t?e:function(r){clearTimeout(n),n=setTimeout((function(){e(r)}),t)};var n}function s(e,t){var n=Object.assign({},e);return t.forEach((function(e){delete n[e]})),n}function u(e){return[].concat(e)}function c(e,t){-1===e.indexOf(t)&&e.push(t)}function p(e){return e.split("-")[0]}function f(e){return[].slice.call(e)}function l(e){return Object.keys(e).reduce((function(t,n){return void 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diff --git a/report/final_report/docs/site_libs/quarto-nav/headroom.min.js b/report/final_report/docs/site_libs/quarto-nav/headroom.min.js
deleted file mode 100644
index b08f1df..0000000
--- a/report/final_report/docs/site_libs/quarto-nav/headroom.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
-/*!
- * headroom.js v0.12.0 - Give your page some headroom. Hide your header until you need it
- * Copyright (c) 2020 Nick Williams - http://wicky.nillia.ms/headroom.js
- * License: MIT
- */
-
-!function(t,n){"object"==typeof exports&&"undefined"!=typeof module?module.exports=n():"function"==typeof define&&define.amd?define(n):(t=t||self).Headroom=n()}(this,function(){"use strict";function t(){return"undefined"!=typeof window}function d(t){return function(t){return t&&t.document&&function(t){return 9===t.nodeType}(t.document)}(t)?function(t){var n=t.document,o=n.body,s=n.documentElement;return{scrollHeight:function(){return Math.max(o.scrollHeight,s.scrollHeight,o.offsetHeight,s.offsetHeight,o.clientHeight,s.clientHeight)},height:function(){return t.innerHeight||s.clientHeight||o.clientHeight},scrollY:function(){return void 0!==t.pageYOffset?t.pageYOffset:(s||o.parentNode||o).scrollTop}}}(t):function(t){return{scrollHeight:function(){return Math.max(t.scrollHeight,t.offsetHeight,t.clientHeight)},height:function(){return Math.max(t.offsetHeight,t.clientHeight)},scrollY:function(){return t.scrollTop}}}(t)}function n(t,s,e){var n,o=function(){var n=!1;try{var t={get passive(){n=!0}};window.addEventListener("test",t,t),window.removeEventListener("test",t,t)}catch(t){n=!1}return n}(),i=!1,r=d(t),l=r.scrollY(),a={};function c(){var t=Math.round(r.scrollY()),n=r.height(),o=r.scrollHeight();a.scrollY=t,a.lastScrollY=l,a.direction=ls.tolerance[a.direction],e(a),l=t,i=!1}function h(){i||(i=!0,n=requestAnimationFrame(c))}var u=!!o&&{passive:!0,capture:!1};return t.addEventListener("scroll",h,u),c(),{destroy:function(){cancelAnimationFrame(n),t.removeEventListener("scroll",h,u)}}}function o(t){return t===Object(t)?t:{down:t,up:t}}function s(t,n){n=n||{},Object.assign(this,s.options,n),this.classes=Object.assign({},s.options.classes,n.classes),this.elem=t,this.tolerance=o(this.tolerance),this.offset=o(this.offset),this.initialised=!1,this.frozen=!1}return s.prototype={constructor:s,init:function(){return s.cutsTheMustard&&!this.initialised&&(this.addClass("initial"),this.initialised=!0,setTimeout(function(t){t.scrollTracker=n(t.scroller,{offset:t.offset,tolerance:t.tolerance},t.update.bind(t))},100,this)),this},destroy:function(){this.initialised=!1,Object.keys(this.classes).forEach(this.removeClass,this),this.scrollTracker.destroy()},unpin:function(){!this.hasClass("pinned")&&this.hasClass("unpinned")||(this.addClass("unpinned"),this.removeClass("pinned"),this.onUnpin&&this.onUnpin.call(this))},pin:function(){this.hasClass("unpinned")&&(this.addClass("pinned"),this.removeClass("unpinned"),this.onPin&&this.onPin.call(this))},freeze:function(){this.frozen=!0,this.addClass("frozen")},unfreeze:function(){this.frozen=!1,this.removeClass("frozen")},top:function(){this.hasClass("top")||(this.addClass("top"),this.removeClass("notTop"),this.onTop&&this.onTop.call(this))},notTop:function(){this.hasClass("notTop")||(this.addClass("notTop"),this.removeClass("top"),this.onNotTop&&this.onNotTop.call(this))},bottom:function(){this.hasClass("bottom")||(this.addClass("bottom"),this.removeClass("notBottom"),this.onBottom&&this.onBottom.call(this))},notBottom:function(){this.hasClass("notBottom")||(this.addClass("notBottom"),this.removeClass("bottom"),this.onNotBottom&&this.onNotBottom.call(this))},shouldUnpin:function(t){return"down"===t.direction&&!t.top&&t.toleranceExceeded},shouldPin:function(t){return"up"===t.direction&&t.toleranceExceeded||t.top},addClass:function(t){this.elem.classList.add.apply(this.elem.classList,this.classes[t].split(" "))},removeClass:function(t){this.elem.classList.remove.apply(this.elem.classList,this.classes[t].split(" "))},hasClass:function(t){return this.classes[t].split(" ").every(function(t){return this.classList.contains(t)},this.elem)},update:function(t){t.isOutOfBounds||!0!==this.frozen&&(t.top?this.top():this.notTop(),t.bottom?this.bottom():this.notBottom(),this.shouldUnpin(t)?this.unpin():this.shouldPin(t)&&this.pin())}},s.options={tolerance:{up:0,down:0},offset:0,scroller:t()?window:null,classes:{frozen:"headroom--frozen",pinned:"headroom--pinned",unpinned:"headroom--unpinned",top:"headroom--top",notTop:"headroom--not-top",bottom:"headroom--bottom",notBottom:"headroom--not-bottom",initial:"headroom"}},s.cutsTheMustard=!!(t()&&function(){}.bind&&"classList"in document.documentElement&&Object.assign&&Object.keys&&requestAnimationFrame),s});
diff --git a/report/final_report/docs/site_libs/quarto-nav/quarto-nav.js b/report/final_report/docs/site_libs/quarto-nav/quarto-nav.js
deleted file mode 100644
index 3b21201..0000000
--- a/report/final_report/docs/site_libs/quarto-nav/quarto-nav.js
+++ /dev/null
@@ -1,277 +0,0 @@
-const headroomChanged = new CustomEvent("quarto-hrChanged", {
- detail: {},
- bubbles: true,
- cancelable: false,
- composed: false,
-});
-
-window.document.addEventListener("DOMContentLoaded", function () {
- let init = false;
-
- // Manage the back to top button, if one is present.
- let lastScrollTop = window.pageYOffset || document.documentElement.scrollTop;
- const scrollDownBuffer = 5;
- const scrollUpBuffer = 35;
- const btn = document.getElementById("quarto-back-to-top");
- const hideBackToTop = () => {
- btn.style.display = "none";
- };
- const showBackToTop = () => {
- btn.style.display = "inline-block";
- };
- if (btn) {
- window.document.addEventListener(
- "scroll",
- function () {
- const currentScrollTop =
- window.pageYOffset || document.documentElement.scrollTop;
-
- // Shows and hides the button 'intelligently' as the user scrolls
- if (currentScrollTop - scrollDownBuffer > lastScrollTop) {
- hideBackToTop();
- lastScrollTop = currentScrollTop <= 0 ? 0 : currentScrollTop;
- } else if (currentScrollTop < lastScrollTop - scrollUpBuffer) {
- showBackToTop();
- lastScrollTop = currentScrollTop <= 0 ? 0 : currentScrollTop;
- }
-
- // Show the button at the bottom, hides it at the top
- if (currentScrollTop <= 0) {
- hideBackToTop();
- } else if (
- window.innerHeight + currentScrollTop >=
- document.body.offsetHeight
- ) {
- showBackToTop();
- }
- },
- false
- );
- }
-
- function throttle(func, wait) {
- var timeout;
- return function () {
- const context = this;
- const args = arguments;
- const later = function () {
- clearTimeout(timeout);
- timeout = null;
- func.apply(context, args);
- };
-
- if (!timeout) {
- timeout = setTimeout(later, wait);
- }
- };
- }
-
- function headerOffset() {
- // Set an offset if there is are fixed top navbar
- const headerEl = window.document.querySelector("header.fixed-top");
- if (headerEl) {
- return headerEl.clientHeight;
- } else {
- return 0;
- }
- }
-
- function footerOffset() {
- const footerEl = window.document.querySelector("footer.footer");
- if (footerEl) {
- return footerEl.clientHeight;
- } else {
- return 0;
- }
- }
-
- function updateDocumentOffsetWithoutAnimation() {
- updateDocumentOffset(false);
- }
-
- function updateDocumentOffset(animated) {
- // set body offset
- const topOffset = headerOffset();
- const bodyOffset = topOffset + footerOffset();
- const bodyEl = window.document.body;
- bodyEl.setAttribute("data-bs-offset", topOffset);
- bodyEl.style.paddingTop = topOffset + "px";
-
- // deal with sidebar offsets
- const sidebars = window.document.querySelectorAll(
- ".sidebar, .headroom-target"
- );
- sidebars.forEach((sidebar) => {
- if (!animated) {
- sidebar.classList.add("notransition");
- // Remove the no transition class after the animation has time to complete
- setTimeout(function () {
- sidebar.classList.remove("notransition");
- }, 201);
- }
-
- if (window.Headroom && sidebar.classList.contains("sidebar-unpinned")) {
- sidebar.style.top = "0";
- sidebar.style.maxHeight = "100vh";
- } else {
- sidebar.style.top = topOffset + "px";
- sidebar.style.maxHeight = "calc(100vh - " + topOffset + "px)";
- }
- });
-
- // allow space for footer
- const mainContainer = window.document.querySelector(".quarto-container");
- if (mainContainer) {
- mainContainer.style.minHeight = "calc(100vh - " + bodyOffset + "px)";
- }
-
- // link offset
- let linkStyle = window.document.querySelector("#quarto-target-style");
- if (!linkStyle) {
- linkStyle = window.document.createElement("style");
- linkStyle.setAttribute("id", "quarto-target-style");
- window.document.head.appendChild(linkStyle);
- }
- while (linkStyle.firstChild) {
- linkStyle.removeChild(linkStyle.firstChild);
- }
- if (topOffset > 0) {
- linkStyle.appendChild(
- window.document.createTextNode(`
- section:target::before {
- content: "";
- display: block;
- height: ${topOffset}px;
- margin: -${topOffset}px 0 0;
- }`)
- );
- }
- if (init) {
- window.dispatchEvent(headroomChanged);
- }
- init = true;
- }
-
- // initialize headroom
- var header = window.document.querySelector("#quarto-header");
- if (header && window.Headroom) {
- const headroom = new window.Headroom(header, {
- tolerance: 5,
- onPin: function () {
- const sidebars = window.document.querySelectorAll(
- ".sidebar, .headroom-target"
- );
- sidebars.forEach((sidebar) => {
- sidebar.classList.remove("sidebar-unpinned");
- });
- updateDocumentOffset();
- },
- onUnpin: function () {
- const sidebars = window.document.querySelectorAll(
- ".sidebar, .headroom-target"
- );
- sidebars.forEach((sidebar) => {
- sidebar.classList.add("sidebar-unpinned");
- });
- updateDocumentOffset();
- },
- });
- headroom.init();
-
- let frozen = false;
- window.quartoToggleHeadroom = function () {
- if (frozen) {
- headroom.unfreeze();
- frozen = false;
- } else {
- headroom.freeze();
- frozen = true;
- }
- };
- }
-
- window.addEventListener(
- "hashchange",
- function (e) {
- if (
- getComputedStyle(document.documentElement).scrollBehavior !== "smooth"
- ) {
- window.scrollTo(0, window.pageYOffset - headerOffset());
- }
- },
- false
- );
-
- // Observe size changed for the header
- const headerEl = window.document.querySelector("header.fixed-top");
- if (headerEl && window.ResizeObserver) {
- const observer = new window.ResizeObserver(
- updateDocumentOffsetWithoutAnimation
- );
- observer.observe(headerEl, {
- attributes: true,
- childList: true,
- characterData: true,
- });
- } else {
- window.addEventListener(
- "resize",
- throttle(updateDocumentOffsetWithoutAnimation, 50)
- );
- }
- setTimeout(updateDocumentOffsetWithoutAnimation, 250);
-
- // fixup index.html links if we aren't on the filesystem
- if (window.location.protocol !== "file:") {
- const links = window.document.querySelectorAll("a");
- for (let i = 0; i < links.length; i++) {
- if (links[i].href) {
- links[i].href = links[i].href.replace(/\/index\.html/, "/");
- }
- }
-
- // Fixup any sharing links that require urls
- // Append url to any sharing urls
- const sharingLinks = window.document.querySelectorAll(
- "a.sidebar-tools-main-item"
- );
- for (let i = 0; i < sharingLinks.length; i++) {
- const sharingLink = sharingLinks[i];
- const href = sharingLink.getAttribute("href");
- if (href) {
- sharingLink.setAttribute(
- "href",
- href.replace("|url|", window.location.href)
- );
- }
- }
-
- // Scroll the active navigation item into view, if necessary
- const navSidebar = window.document.querySelector("nav#quarto-sidebar");
- if (navSidebar) {
- // Find the active item
- const activeItem = navSidebar.querySelector("li.sidebar-item a.active");
- if (activeItem) {
- // Wait for the scroll height and height to resolve by observing size changes on the
- // nav element that is scrollable
- const resizeObserver = new ResizeObserver((_entries) => {
- // The bottom of the element
- const elBottom = activeItem.offsetTop;
- const viewBottom = navSidebar.scrollTop + navSidebar.clientHeight;
-
- // The element height and scroll height are the same, then we are still loading
- if (viewBottom !== navSidebar.scrollHeight) {
- // Determine if the item isn't visible and scroll to it
- if (elBottom >= viewBottom) {
- navSidebar.scrollTop = elBottom;
- }
-
- // stop observing now since we've completed the scroll
- resizeObserver.unobserve(navSidebar);
- }
- });
- resizeObserver.observe(navSidebar);
- }
- }
- }
-});
diff --git a/report/final_report/docs/site_libs/quarto-search/autocomplete.umd.js b/report/final_report/docs/site_libs/quarto-search/autocomplete.umd.js
deleted file mode 100644
index 619c57c..0000000
--- a/report/final_report/docs/site_libs/quarto-search/autocomplete.umd.js
+++ /dev/null
@@ -1,3 +0,0 @@
-/*! @algolia/autocomplete-js 1.7.3 | MIT License | © Algolia, Inc. and contributors | https://github.com/algolia/autocomplete */
-!function(e,t){"object"==typeof exports&&"undefined"!=typeof module?t(exports):"function"==typeof define&&define.amd?define(["exports"],t):t((e="undefined"!=typeof globalThis?globalThis:e||self)["@algolia/autocomplete-js"]={})}(this,(function(e){"use strict";function t(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function n(e){for(var n=1;n=0||(o[n]=e[n]);return o}(e,t);if(Object.getOwnPropertySymbols){var i=Object.getOwnPropertySymbols(e);for(r=0;r=0||Object.prototype.propertyIsEnumerable.call(e,n)&&(o[n]=e[n])}return o}function a(e,t){return function(e){if(Array.isArray(e))return e}(e)||function(e,t){var n=null==e?null:"undefined"!=typeof Symbol&&e[Symbol.iterator]||e["@@iterator"];if(null==n)return;var r,o,i=[],u=!0,a=!1;try{for(n=n.call(e);!(u=(r=n.next()).done)&&(i.push(r.value),!t||i.length!==t);u=!0);}catch(e){a=!0,o=e}finally{try{u||null==n.return||n.return()}finally{if(a)throw o}}return i}(e,t)||l(e,t)||function(){throw new TypeError("Invalid attempt to destructure non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function c(e){return function(e){if(Array.isArray(e))return s(e)}(e)||function(e){if("undefined"!=typeof Symbol&&null!=e[Symbol.iterator]||null!=e["@@iterator"])return Array.from(e)}(e)||l(e)||function(){throw new TypeError("Invalid attempt to spread non-iterable instance.\nIn order to be iterable, non-array objects must have a [Symbol.iterator]() method.")}()}function l(e,t){if(e){if("string"==typeof e)return s(e,t);var n=Object.prototype.toString.call(e).slice(8,-1);return"Object"===n&&e.constructor&&(n=e.constructor.name),"Map"===n||"Set"===n?Array.from(e):"Arguments"===n||/^(?:Ui|I)nt(?:8|16|32)(?:Clamped)?Array$/.test(n)?s(e,t):void 0}}function s(e,t){(null==t||t>e.length)&&(t=e.length);for(var n=0,r=new Array(t);n=n?null===r?null:0:o}function S(e,t){var n=Object.keys(e);if(Object.getOwnPropertySymbols){var r=Object.getOwnPropertySymbols(e);t&&(r=r.filter((function(t){return Object.getOwnPropertyDescriptor(e,t).enumerable}))),n.push.apply(n,r)}return n}function I(e,t,n){return t in e?Object.defineProperty(e,t,{value:n,enumerable:!0,configurable:!0,writable:!0}):e[t]=n,e}function E(e,t){var n=[];return Promise.resolve(e(t)).then((function(e){return Promise.all(e.filter((function(e){return Boolean(e)})).map((function(e){if(e.sourceId,n.includes(e.sourceId))throw new Error("[Autocomplete] The `sourceId` ".concat(JSON.stringify(e.sourceId)," is not unique."));n.push(e.sourceId);var 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diff --git a/report/final_report/docs/site_libs/quarto-search/fuse.min.js b/report/final_report/docs/site_libs/quarto-search/fuse.min.js
deleted file mode 100644
index adc2835..0000000
--- a/report/final_report/docs/site_libs/quarto-search/fuse.min.js
+++ /dev/null
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0===r?I.includeMatches:r,o=n.includeScore,c=void 0===o?I.includeScore:o,a=[];return i&&a.push(de),c&&a.push(ve),e.map((function(e){var n=e.idx,r={item:t[n],refIndex:n};return a.length&&a.forEach((function(t){t(e,r)})),r}))}var ye=function(){function e(n){var i=arguments.length>1&&void 0!==arguments[1]?arguments[1]:{},o=arguments.length>2?arguments[2]:void 0;r(this,e),this.options=t(t({},I),i),this.options.useExtendedSearch,this._keyStore=new S(this.options.keys),this.setCollection(n,o)}return o(e,[{key:"setCollection",value:function(e,t){if(this._docs=e,t&&!(t instanceof $))throw new Error("Incorrect 'index' type");this._myIndex=t||F(this.options.keys,this._docs,{getFn:this.options.getFn,fieldNormWeight:this.options.fieldNormWeight})}},{key:"add",value:function(e){k(e)&&(this._docs.push(e),this._myIndex.add(e))}},{key:"remove",value:function(){for(var e=arguments.length>0&&void 0!==arguments[0]?arguments[0]:function(){return!1},t=[],n=0,r=this._docs.length;n1&&void 0!==arguments[1]?arguments[1]:{},n=t.limit,r=void 0===n?-1:n,i=this.options,o=i.includeMatches,c=i.includeScore,a=i.shouldSort,s=i.sortFn,u=i.ignoreFieldNorm,h=g(e)?g(this._docs[0])?this._searchStringList(e):this._searchObjectList(e):this._searchLogical(e);return fe(h,{ignoreFieldNorm:u}),a&&h.sort(s),y(r)&&r>-1&&(h=h.slice(0,r)),ge(h,this._docs,{includeMatches:o,includeScore:c})}},{key:"_searchStringList",value:function(e){var t=re(e,this.options),n=this._myIndex.records,r=[];return n.forEach((function(e){var n=e.v,i=e.i,o=e.n;if(k(n)){var c=t.searchIn(n),a=c.isMatch,s=c.score,u=c.indices;a&&r.push({item:n,idx:i,matches:[{score:s,value:n,norm:o,indices:u}]})}})),r}},{key:"_searchLogical",value:function(e){var t=this,n=function(e,t){var n=(arguments.length>2&&void 0!==arguments[2]?arguments[2]:{}).auto,r=void 0===n||n,i=function e(n){var i=Object.keys(n),o=ue(n);if(!o&&i.length>1&&!se(n))return e(le(n));if(he(n)){var c=o?n[ce]:i[0],a=o?n[ae]:n[c];if(!g(a))throw new Error(x(c));var s={keyId:j(c),pattern:a};return r&&(s.searcher=re(a,t)),s}var u={children:[],operator:i[0]};return i.forEach((function(t){var r=n[t];v(r)&&r.forEach((function(t){u.children.push(e(t))}))})),u};return se(e)||(e=le(e)),i(e)}(e,this.options),r=function e(n,r,i){if(!n.children){var o=n.keyId,c=n.searcher,a=t._findMatches({key:t._keyStore.get(o),value:t._myIndex.getValueForItemAtKeyId(r,o),searcher:c});return a&&a.length?[{idx:i,item:r,matches:a}]:[]}for(var s=[],u=0,h=n.children.length;u1&&void 0!==arguments[1]?arguments[1]:{},n=t.getFn,r=void 0===n?I.getFn:n,i=t.fieldNormWeight,o=void 0===i?I.fieldNormWeight:i,c=e.keys,a=e.records,s=new $({getFn:r,fieldNormWeight:o});return s.setKeys(c),s.setIndexRecords(a),s},ye.config=I,function(){ne.push.apply(ne,arguments)}(te),ye},"object"==typeof exports&&"undefined"!=typeof module?module.exports=t():"function"==typeof define&&define.amd?define(t):(e="undefined"!=typeof globalThis?globalThis:e||self).Fuse=t();
\ No newline at end of file
diff --git a/report/final_report/docs/site_libs/quarto-search/quarto-search.js b/report/final_report/docs/site_libs/quarto-search/quarto-search.js
deleted file mode 100644
index f5d852d..0000000
--- a/report/final_report/docs/site_libs/quarto-search/quarto-search.js
+++ /dev/null
@@ -1,1140 +0,0 @@
-const kQueryArg = "q";
-const kResultsArg = "show-results";
-
-// If items don't provide a URL, then both the navigator and the onSelect
-// function aren't called (and therefore, the default implementation is used)
-//
-// We're using this sentinel URL to signal to those handlers that this
-// item is a more item (along with the type) and can be handled appropriately
-const kItemTypeMoreHref = "0767FDFD-0422-4E5A-BC8A-3BE11E5BBA05";
-
-window.document.addEventListener("DOMContentLoaded", function (_event) {
- // Ensure that search is available on this page. If it isn't,
- // should return early and not do anything
- var searchEl = window.document.getElementById("quarto-search");
- if (!searchEl) return;
-
- const { autocomplete } = window["@algolia/autocomplete-js"];
-
- let quartoSearchOptions = {};
- let language = {};
- const searchOptionEl = window.document.getElementById(
- "quarto-search-options"
- );
- if (searchOptionEl) {
- const jsonStr = searchOptionEl.textContent;
- quartoSearchOptions = JSON.parse(jsonStr);
- language = quartoSearchOptions.language;
- }
-
- // note the search mode
- if (quartoSearchOptions.type === "overlay") {
- searchEl.classList.add("type-overlay");
- } else {
- searchEl.classList.add("type-textbox");
- }
-
- // Used to determine highlighting behavior for this page
- // A `q` query param is expected when the user follows a search
- // to this page
- const currentUrl = new URL(window.location);
- const query = currentUrl.searchParams.get(kQueryArg);
- const showSearchResults = currentUrl.searchParams.get(kResultsArg);
- const mainEl = window.document.querySelector("main");
-
- // highlight matches on the page
- if (query !== null && mainEl) {
- // perform any highlighting
- highlight(escapeRegExp(query), mainEl);
-
- // fix up the URL to remove the q query param
- const replacementUrl = new URL(window.location);
- replacementUrl.searchParams.delete(kQueryArg);
- window.history.replaceState({}, "", replacementUrl);
- }
-
- // function to clear highlighting on the page when the search query changes
- // (e.g. if the user edits the query or clears it)
- let highlighting = true;
- const resetHighlighting = (searchTerm) => {
- if (mainEl && highlighting && query !== null && searchTerm !== query) {
- clearHighlight(query, mainEl);
- highlighting = false;
- }
- };
-
- // Clear search highlighting when the user scrolls sufficiently
- const resetFn = () => {
- resetHighlighting("");
- window.removeEventListener("quarto-hrChanged", resetFn);
- window.removeEventListener("quarto-sectionChanged", resetFn);
- };
-
- // Register this event after the initial scrolling and settling of events
- // on the page
- window.addEventListener("quarto-hrChanged", resetFn);
- window.addEventListener("quarto-sectionChanged", resetFn);
-
- // Responsively switch to overlay mode if the search is present on the navbar
- // Note that switching the sidebar to overlay mode requires more coordinate (not just
- // the media query since we generate different HTML for sidebar overlays than we do
- // for sidebar input UI)
- const detachedMediaQuery =
- quartoSearchOptions.type === "overlay" ? "all" : "(max-width: 991px)";
-
- // If configured, include the analytics client to send insights
- const plugins = configurePlugins(quartoSearchOptions);
-
- let lastState = null;
- const { setIsOpen, setQuery, setCollections } = autocomplete({
- container: searchEl,
- detachedMediaQuery: detachedMediaQuery,
- defaultActiveItemId: 0,
- panelContainer: "#quarto-search-results",
- panelPlacement: quartoSearchOptions["panel-placement"],
- debug: false,
- openOnFocus: true,
- plugins,
- classNames: {
- form: "d-flex",
- },
- translations: {
- clearButtonTitle: language["search-clear-button-title"],
- detachedCancelButtonText: language["search-detached-cancel-button-title"],
- submitButtonTitle: language["search-submit-button-title"],
- },
- initialState: {
- query,
- },
- getItemUrl({ item }) {
- return item.href;
- },
- onStateChange({ state }) {
- // Perhaps reset highlighting
- resetHighlighting(state.query);
-
- // If the panel just opened, ensure the panel is positioned properly
- if (state.isOpen) {
- if (lastState && !lastState.isOpen) {
- setTimeout(() => {
- positionPanel(quartoSearchOptions["panel-placement"]);
- }, 150);
- }
- }
-
- // Perhaps show the copy link
- showCopyLink(state.query, quartoSearchOptions);
-
- lastState = state;
- },
- reshape({ sources, state }) {
- return sources.map((source) => {
- try {
- const items = source.getItems();
-
- // Validate the items
- validateItems(items);
-
- // group the items by document
- const groupedItems = new Map();
- items.forEach((item) => {
- const hrefParts = item.href.split("#");
- const baseHref = hrefParts[0];
- const isDocumentItem = hrefParts.length === 1;
-
- const items = groupedItems.get(baseHref);
- if (!items) {
- groupedItems.set(baseHref, [item]);
- } else {
- // If the href for this item matches the document
- // exactly, place this item first as it is the item that represents
- // the document itself
- if (isDocumentItem) {
- items.unshift(item);
- } else {
- items.push(item);
- }
- groupedItems.set(baseHref, items);
- }
- });
-
- const reshapedItems = [];
- let count = 1;
- for (const [_key, value] of groupedItems) {
- const firstItem = value[0];
- reshapedItems.push({
- ...firstItem,
- type: kItemTypeDoc,
- });
-
- const collapseMatches = quartoSearchOptions["collapse-after"];
- const collapseCount =
- typeof collapseMatches === "number" ? collapseMatches : 1;
-
- if (value.length > 1) {
- const target = `search-more-${count}`;
- const isExpanded =
- state.context.expanded &&
- state.context.expanded.includes(target);
-
- const remainingCount = value.length - collapseCount;
-
- for (let i = 1; i < value.length; i++) {
- if (collapseMatches && i === collapseCount) {
- reshapedItems.push({
- target,
- title: isExpanded
- ? language["search-hide-matches-text"]
- : remainingCount === 1
- ? `${remainingCount} ${language["search-more-match-text"]}`
- : `${remainingCount} ${language["search-more-matches-text"]}`,
- type: kItemTypeMore,
- href: kItemTypeMoreHref,
- });
- }
-
- if (isExpanded || !collapseMatches || i < collapseCount) {
- reshapedItems.push({
- ...value[i],
- type: kItemTypeItem,
- target,
- });
- }
- }
- }
- count += 1;
- }
-
- return {
- ...source,
- getItems() {
- return reshapedItems;
- },
- };
- } catch (error) {
- // Some form of error occurred
- return {
- ...source,
- getItems() {
- return [
- {
- title: error.name || "An Error Occurred While Searching",
- text:
- error.message ||
- "An unknown error occurred while attempting to perform the requested search.",
- type: kItemTypeError,
- },
- ];
- },
- };
- }
- });
- },
- navigator: {
- navigate({ itemUrl }) {
- if (itemUrl !== offsetURL(kItemTypeMoreHref)) {
- window.location.assign(itemUrl);
- }
- },
- navigateNewTab({ itemUrl }) {
- if (itemUrl !== offsetURL(kItemTypeMoreHref)) {
- const windowReference = window.open(itemUrl, "_blank", "noopener");
- if (windowReference) {
- windowReference.focus();
- }
- }
- },
- navigateNewWindow({ itemUrl }) {
- if (itemUrl !== offsetURL(kItemTypeMoreHref)) {
- window.open(itemUrl, "_blank", "noopener");
- }
- },
- },
- getSources({ state, setContext, setActiveItemId, refresh }) {
- return [
- {
- sourceId: "documents",
- getItemUrl({ item }) {
- if (item.href) {
- return offsetURL(item.href);
- } else {
- return undefined;
- }
- },
- onSelect({
- item,
- state,
- setContext,
- setIsOpen,
- setActiveItemId,
- refresh,
- }) {
- if (item.type === kItemTypeMore) {
- toggleExpanded(item, state, setContext, setActiveItemId, refresh);
-
- // Toggle more
- setIsOpen(true);
- }
- },
- getItems({ query }) {
- if (query === null || query === "") {
- return [];
- }
-
- const limit = quartoSearchOptions.limit;
- if (quartoSearchOptions.algolia) {
- return algoliaSearch(query, limit, quartoSearchOptions.algolia);
- } else {
- // Fuse search options
- const fuseSearchOptions = {
- isCaseSensitive: false,
- shouldSort: true,
- minMatchCharLength: 2,
- limit: limit,
- };
-
- return readSearchData().then(function (fuse) {
- return fuseSearch(query, fuse, fuseSearchOptions);
- });
- }
- },
- templates: {
- noResults({ createElement }) {
- const hasQuery = lastState.query;
-
- return createElement(
- "div",
- {
- class: `quarto-search-no-results${
- hasQuery ? "" : " no-query"
- }`,
- },
- language["search-no-results-text"]
- );
- },
- header({ items, createElement }) {
- // count the documents
- const count = items.filter((item) => {
- return item.type === kItemTypeDoc;
- }).length;
-
- if (count > 0) {
- return createElement(
- "div",
- { class: "search-result-header" },
- `${count} ${language["search-matching-documents-text"]}`
- );
- } else {
- return createElement(
- "div",
- { class: "search-result-header-no-results" },
- ``
- );
- }
- },
- footer({ _items, createElement }) {
- if (
- quartoSearchOptions.algolia &&
- quartoSearchOptions.algolia["show-logo"]
- ) {
- const libDir = quartoSearchOptions.algolia["libDir"];
- const logo = createElement("img", {
- src: offsetURL(
- `${libDir}/quarto-search/search-by-algolia.svg`
- ),
- class: "algolia-search-logo",
- });
- return createElement(
- "a",
- { href: "http://www.algolia.com/" },
- logo
- );
- }
- },
-
- item({ item, createElement }) {
- return renderItem(
- item,
- createElement,
- state,
- setActiveItemId,
- setContext,
- refresh
- );
- },
- },
- },
- ];
- },
- });
-
- window.quartoOpenSearch = () => {
- setIsOpen(false);
- setIsOpen(true);
- focusSearchInput();
- };
-
- // Remove the labeleledby attribute since it is pointing
- // to a non-existent label
- if (quartoSearchOptions.type === "overlay") {
- const inputEl = window.document.querySelector(
- "#quarto-search .aa-Autocomplete"
- );
- if (inputEl) {
- inputEl.removeAttribute("aria-labelledby");
- }
- }
-
- // If the main document scrolls dismiss the search results
- // (otherwise, since they're floating in the document they can scroll with the document)
- window.document.body.onscroll = () => {
- setIsOpen(false);
- };
-
- if (showSearchResults) {
- setIsOpen(true);
- focusSearchInput();
- }
-});
-
-function configurePlugins(quartoSearchOptions) {
- const autocompletePlugins = [];
- const algoliaOptions = quartoSearchOptions.algolia;
- if (
- algoliaOptions &&
- algoliaOptions["analytics-events"] &&
- algoliaOptions["search-only-api-key"] &&
- algoliaOptions["application-id"]
- ) {
- const apiKey = algoliaOptions["search-only-api-key"];
- const appId = algoliaOptions["application-id"];
-
- // Aloglia insights may not be loaded because they require cookie consent
- // Use deferred loading so events will start being recorded when/if consent
- // is granted.
- const algoliaInsightsDeferredPlugin = deferredLoadPlugin(() => {
- if (
- window.aa &&
- window["@algolia/autocomplete-plugin-algolia-insights"]
- ) {
- window.aa("init", {
- appId,
- apiKey,
- useCookie: true,
- });
-
- const { createAlgoliaInsightsPlugin } =
- window["@algolia/autocomplete-plugin-algolia-insights"];
- // Register the insights client
- const algoliaInsightsPlugin = createAlgoliaInsightsPlugin({
- insightsClient: window.aa,
- onItemsChange({ insights, insightsEvents }) {
- const events = insightsEvents.map((event) => {
- const maxEvents = event.objectIDs.slice(0, 20);
- return {
- ...event,
- objectIDs: maxEvents,
- };
- });
-
- insights.viewedObjectIDs(...events);
- },
- });
- return algoliaInsightsPlugin;
- }
- });
-
- // Add the plugin
- autocompletePlugins.push(algoliaInsightsDeferredPlugin);
- return autocompletePlugins;
- }
-}
-
-// For plugins that may not load immediately, create a wrapper
-// plugin and forward events and plugin data once the plugin
-// is initialized. This is useful for cases like cookie consent
-// which may prevent the analytics insights event plugin from initializing
-// immediately.
-function deferredLoadPlugin(createPlugin) {
- let plugin = undefined;
- let subscribeObj = undefined;
- const wrappedPlugin = () => {
- if (!plugin && subscribeObj) {
- plugin = createPlugin();
- if (plugin && plugin.subscribe) {
- plugin.subscribe(subscribeObj);
- }
- }
- return plugin;
- };
-
- return {
- subscribe: (obj) => {
- subscribeObj = obj;
- },
- onStateChange: (obj) => {
- const plugin = wrappedPlugin();
- if (plugin && plugin.onStateChange) {
- plugin.onStateChange(obj);
- }
- },
- onSubmit: (obj) => {
- const plugin = wrappedPlugin();
- if (plugin && plugin.onSubmit) {
- plugin.onSubmit(obj);
- }
- },
- onReset: (obj) => {
- const plugin = wrappedPlugin();
- if (plugin && plugin.onReset) {
- plugin.onReset(obj);
- }
- },
- getSources: (obj) => {
- const plugin = wrappedPlugin();
- if (plugin && plugin.getSources) {
- return plugin.getSources(obj);
- } else {
- return Promise.resolve([]);
- }
- },
- data: (obj) => {
- const plugin = wrappedPlugin();
- if (plugin && plugin.data) {
- plugin.data(obj);
- }
- },
- };
-}
-
-function validateItems(items) {
- // Validate the first item
- if (items.length > 0) {
- const item = items[0];
- const missingFields = [];
- if (item.href == undefined) {
- missingFields.push("href");
- }
- if (!item.title == undefined) {
- missingFields.push("title");
- }
- if (!item.text == undefined) {
- missingFields.push("text");
- }
-
- if (missingFields.length === 1) {
- throw {
- name: `Error: Search index is missing the ${missingFields[0]}
field.`,
- message: `The items being returned for this search do not include all the required fields. Please ensure that your index items include the ${missingFields[0]}
field or use index-fields
in your _quarto.yml
file to specify the field names.`,
- };
- } else if (missingFields.length > 1) {
- const missingFieldList = missingFields
- .map((field) => {
- return `${field}
`;
- })
- .join(", ");
-
- throw {
- name: `Error: Search index is missing the following fields: ${missingFieldList}.`,
- message: `The items being returned for this search do not include all the required fields. Please ensure that your index items includes the following fields: ${missingFieldList}, or use index-fields
in your _quarto.yml
file to specify the field names.`,
- };
- }
- }
-}
-
-let lastQuery = null;
-function showCopyLink(query, options) {
- const language = options.language;
- lastQuery = query;
- // Insert share icon
- const inputSuffixEl = window.document.body.querySelector(
- ".aa-Form .aa-InputWrapperSuffix"
- );
-
- if (inputSuffixEl) {
- let copyButtonEl = window.document.body.querySelector(
- ".aa-Form .aa-InputWrapperSuffix .aa-CopyButton"
- );
-
- if (copyButtonEl === null) {
- copyButtonEl = window.document.createElement("button");
- copyButtonEl.setAttribute("class", "aa-CopyButton");
- copyButtonEl.setAttribute("type", "button");
- copyButtonEl.setAttribute("title", language["search-copy-link-title"]);
- copyButtonEl.onmousedown = (e) => {
- e.preventDefault();
- e.stopPropagation();
- };
-
- const linkIcon = "bi-clipboard";
- const checkIcon = "bi-check2";
-
- const shareIconEl = window.document.createElement("i");
- shareIconEl.setAttribute("class", `bi ${linkIcon}`);
- copyButtonEl.appendChild(shareIconEl);
- inputSuffixEl.prepend(copyButtonEl);
-
- const clipboard = new window.ClipboardJS(".aa-CopyButton", {
- text: function (_trigger) {
- const copyUrl = new URL(window.location);
- copyUrl.searchParams.set(kQueryArg, lastQuery);
- copyUrl.searchParams.set(kResultsArg, "1");
- return copyUrl.toString();
- },
- });
- clipboard.on("success", function (e) {
- // Focus the input
-
- // button target
- const button = e.trigger;
- const icon = button.querySelector("i.bi");
-
- // flash "checked"
- icon.classList.add(checkIcon);
- icon.classList.remove(linkIcon);
- setTimeout(function () {
- icon.classList.remove(checkIcon);
- icon.classList.add(linkIcon);
- }, 1000);
- });
- }
-
- // If there is a query, show the link icon
- if (copyButtonEl) {
- if (lastQuery && options["copy-button"]) {
- copyButtonEl.style.display = "flex";
- } else {
- copyButtonEl.style.display = "none";
- }
- }
- }
-}
-
-/* Search Index Handling */
-// create the index
-var fuseIndex = undefined;
-async function readSearchData() {
- // Initialize the search index on demand
- if (fuseIndex === undefined) {
- // create fuse index
- const options = {
- keys: [
- { name: "title", weight: 20 },
- { name: "section", weight: 20 },
- { name: "text", weight: 10 },
- ],
- ignoreLocation: true,
- threshold: 0.1,
- };
- const fuse = new window.Fuse([], options);
-
- // fetch the main search.json
- const response = await fetch(offsetURL("search.json"));
- if (response.status == 200) {
- return response.json().then(function (searchDocs) {
- searchDocs.forEach(function (searchDoc) {
- fuse.add(searchDoc);
- });
- fuseIndex = fuse;
- return fuseIndex;
- });
- } else {
- return Promise.reject(
- new Error(
- "Unexpected status from search index request: " + response.status
- )
- );
- }
- }
- return fuseIndex;
-}
-
-function inputElement() {
- return window.document.body.querySelector(".aa-Form .aa-Input");
-}
-
-function focusSearchInput() {
- setTimeout(() => {
- const inputEl = inputElement();
- if (inputEl) {
- inputEl.focus();
- }
- }, 50);
-}
-
-/* Panels */
-const kItemTypeDoc = "document";
-const kItemTypeMore = "document-more";
-const kItemTypeItem = "document-item";
-const kItemTypeError = "error";
-
-function renderItem(
- item,
- createElement,
- state,
- setActiveItemId,
- setContext,
- refresh
-) {
- switch (item.type) {
- case kItemTypeDoc:
- return createDocumentCard(
- createElement,
- "file-richtext",
- item.title,
- item.section,
- item.text,
- item.href
- );
- case kItemTypeMore:
- return createMoreCard(
- createElement,
- item,
- state,
- setActiveItemId,
- setContext,
- refresh
- );
- case kItemTypeItem:
- return createSectionCard(
- createElement,
- item.section,
- item.text,
- item.href
- );
- case kItemTypeError:
- return createErrorCard(createElement, item.title, item.text);
- default:
- return undefined;
- }
-}
-
-function createDocumentCard(createElement, icon, title, section, text, href) {
- const iconEl = createElement("i", {
- class: `bi bi-${icon} search-result-icon`,
- });
- const titleEl = createElement("p", { class: "search-result-title" }, title);
- const titleContainerEl = createElement(
- "div",
- { class: "search-result-title-container" },
- [iconEl, titleEl]
- );
-
- const textEls = [];
- if (section) {
- const sectionEl = createElement(
- "p",
- { class: "search-result-section" },
- section
- );
- textEls.push(sectionEl);
- }
- const descEl = createElement("p", {
- class: "search-result-text",
- dangerouslySetInnerHTML: {
- __html: text,
- },
- });
- textEls.push(descEl);
-
- const textContainerEl = createElement(
- "div",
- { class: "search-result-text-container" },
- textEls
- );
-
- const containerEl = createElement(
- "div",
- {
- class: "search-result-container",
- },
- [titleContainerEl, textContainerEl]
- );
-
- const linkEl = createElement(
- "a",
- {
- href: offsetURL(href),
- class: "search-result-link",
- },
- containerEl
- );
-
- const classes = ["search-result-doc", "search-item"];
- if (!section) {
- classes.push("document-selectable");
- }
-
- return createElement(
- "div",
- {
- class: classes.join(" "),
- },
- linkEl
- );
-}
-
-function createMoreCard(
- createElement,
- item,
- state,
- setActiveItemId,
- setContext,
- refresh
-) {
- const moreCardEl = createElement(
- "div",
- {
- class: "search-result-more search-item",
- onClick: (e) => {
- // Handle expanding the sections by adding the expanded
- // section to the list of expanded sections
- toggleExpanded(item, state, setContext, setActiveItemId, refresh);
- e.stopPropagation();
- },
- },
- item.title
- );
-
- return moreCardEl;
-}
-
-function toggleExpanded(item, state, setContext, setActiveItemId, refresh) {
- const expanded = state.context.expanded || [];
- if (expanded.includes(item.target)) {
- setContext({
- expanded: expanded.filter((target) => target !== item.target),
- });
- } else {
- setContext({ expanded: [...expanded, item.target] });
- }
-
- refresh();
- setActiveItemId(item.__autocomplete_id);
-}
-
-function createSectionCard(createElement, section, text, href) {
- const sectionEl = createSection(createElement, section, text, href);
- return createElement(
- "div",
- {
- class: "search-result-doc-section search-item",
- },
- sectionEl
- );
-}
-
-function createSection(createElement, title, text, href) {
- const descEl = createElement("p", {
- class: "search-result-text",
- dangerouslySetInnerHTML: {
- __html: text,
- },
- });
-
- const titleEl = createElement("p", { class: "search-result-section" }, title);
- const linkEl = createElement(
- "a",
- {
- href: offsetURL(href),
- class: "search-result-link",
- },
- [titleEl, descEl]
- );
- return linkEl;
-}
-
-function createErrorCard(createElement, title, text) {
- const descEl = createElement("p", {
- class: "search-error-text",
- dangerouslySetInnerHTML: {
- __html: text,
- },
- });
-
- const titleEl = createElement("p", {
- class: "search-error-title",
- dangerouslySetInnerHTML: {
- __html: ` ${title}`,
- },
- });
- const errorEl = createElement("div", { class: "search-error" }, [
- titleEl,
- descEl,
- ]);
- return errorEl;
-}
-
-function positionPanel(pos) {
- const panelEl = window.document.querySelector(
- "#quarto-search-results .aa-Panel"
- );
- const inputEl = window.document.querySelector(
- "#quarto-search .aa-Autocomplete"
- );
-
- if (panelEl && inputEl) {
- panelEl.style.top = `${Math.round(panelEl.offsetTop)}px`;
- if (pos === "start") {
- panelEl.style.left = `${Math.round(inputEl.left)}px`;
- } else {
- panelEl.style.right = `${Math.round(inputEl.offsetRight)}px`;
- }
- }
-}
-
-/* Highlighting */
-// highlighting functions
-function highlightMatch(query, text) {
- if (text) {
- const start = text.toLowerCase().indexOf(query.toLowerCase());
- if (start !== -1) {
- const startMark = "";
- const endMark = "";
-
- const end = start + query.length;
- text =
- text.slice(0, start) +
- startMark +
- text.slice(start, end) +
- endMark +
- text.slice(end);
- const startInfo = clipStart(text, start);
- const endInfo = clipEnd(
- text,
- startInfo.position + startMark.length + endMark.length
- );
- text =
- startInfo.prefix +
- text.slice(startInfo.position, endInfo.position) +
- endInfo.suffix;
-
- return text;
- } else {
- return text;
- }
- } else {
- return text;
- }
-}
-
-function clipStart(text, pos) {
- const clipStart = pos - 50;
- if (clipStart < 0) {
- // This will just return the start of the string
- return {
- position: 0,
- prefix: "",
- };
- } else {
- // We're clipping before the start of the string, walk backwards to the first space.
- const spacePos = findSpace(text, pos, -1);
- return {
- position: spacePos.position,
- prefix: "",
- };
- }
-}
-
-function clipEnd(text, pos) {
- const clipEnd = pos + 200;
- if (clipEnd > text.length) {
- return {
- position: text.length,
- suffix: "",
- };
- } else {
- const spacePos = findSpace(text, clipEnd, 1);
- return {
- position: spacePos.position,
- suffix: spacePos.clipped ? "…" : "",
- };
- }
-}
-
-function findSpace(text, start, step) {
- let stepPos = start;
- while (stepPos > -1 && stepPos < text.length) {
- const char = text[stepPos];
- if (char === " " || char === "," || char === ":") {
- return {
- position: step === 1 ? stepPos : stepPos - step,
- clipped: stepPos > 1 && stepPos < text.length,
- };
- }
- stepPos = stepPos + step;
- }
-
- return {
- position: stepPos - step,
- clipped: false,
- };
-}
-
-// removes highlighting as implemented by the mark tag
-function clearHighlight(searchterm, el) {
- const childNodes = el.childNodes;
- for (let i = childNodes.length - 1; i >= 0; i--) {
- const node = childNodes[i];
- if (node.nodeType === Node.ELEMENT_NODE) {
- if (
- node.tagName === "MARK" &&
- node.innerText.toLowerCase() === searchterm.toLowerCase()
- ) {
- el.replaceChild(document.createTextNode(node.innerText), node);
- } else {
- clearHighlight(searchterm, node);
- }
- }
- }
-}
-
-function escapeRegExp(string) {
- return string.replace(/[.*+?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
-}
-
-// highlight matches
-function highlight(term, el) {
- const termRegex = new RegExp(term, "ig");
- const childNodes = el.childNodes;
-
- // walk back to front avoid mutating elements in front of us
- for (let i = childNodes.length - 1; i >= 0; i--) {
- const node = childNodes[i];
-
- if (node.nodeType === Node.TEXT_NODE) {
- // Search text nodes for text to highlight
- const text = node.nodeValue;
-
- let startIndex = 0;
- let matchIndex = text.search(termRegex);
- if (matchIndex > -1) {
- const markFragment = document.createDocumentFragment();
- while (matchIndex > -1) {
- const prefix = text.slice(startIndex, matchIndex);
- markFragment.appendChild(document.createTextNode(prefix));
-
- const mark = document.createElement("mark");
- mark.appendChild(
- document.createTextNode(
- text.slice(matchIndex, matchIndex + term.length)
- )
- );
- markFragment.appendChild(mark);
-
- startIndex = matchIndex + term.length;
- matchIndex = text.slice(startIndex).search(new RegExp(term, "ig"));
- if (matchIndex > -1) {
- matchIndex = startIndex + matchIndex;
- }
- }
- if (startIndex < text.length) {
- markFragment.appendChild(
- document.createTextNode(text.slice(startIndex, text.length))
- );
- }
-
- el.replaceChild(markFragment, node);
- }
- } else if (node.nodeType === Node.ELEMENT_NODE) {
- // recurse through elements
- highlight(term, node);
- }
- }
-}
-
-/* Link Handling */
-// get the offset from this page for a given site root relative url
-function offsetURL(url) {
- var offset = getMeta("quarto:offset");
- return offset ? offset + url : url;
-}
-
-// read a meta tag value
-function getMeta(metaName) {
- var metas = window.document.getElementsByTagName("meta");
- for (let i = 0; i < metas.length; i++) {
- if (metas[i].getAttribute("name") === metaName) {
- return metas[i].getAttribute("content");
- }
- }
- return "";
-}
-
-function algoliaSearch(query, limit, algoliaOptions) {
- const { getAlgoliaResults } = window["@algolia/autocomplete-preset-algolia"];
-
- const applicationId = algoliaOptions["application-id"];
- const searchOnlyApiKey = algoliaOptions["search-only-api-key"];
- const indexName = algoliaOptions["index-name"];
- const indexFields = algoliaOptions["index-fields"];
- const searchClient = window.algoliasearch(applicationId, searchOnlyApiKey);
- const searchParams = algoliaOptions["params"];
- const searchAnalytics = !!algoliaOptions["analytics-events"];
-
- return getAlgoliaResults({
- searchClient,
- queries: [
- {
- indexName: indexName,
- query,
- params: {
- hitsPerPage: limit,
- clickAnalytics: searchAnalytics,
- ...searchParams,
- },
- },
- ],
- transformResponse: (response) => {
- if (!indexFields) {
- return response.hits.map((hit) => {
- return hit.map((item) => {
- return {
- ...item,
- text: highlightMatch(query, item.text),
- };
- });
- });
- } else {
- const remappedHits = response.hits.map((hit) => {
- return hit.map((item) => {
- const newItem = { ...item };
- ["href", "section", "title", "text"].forEach((keyName) => {
- const mappedName = indexFields[keyName];
- if (
- mappedName &&
- item[mappedName] !== undefined &&
- mappedName !== keyName
- ) {
- newItem[keyName] = item[mappedName];
- delete newItem[mappedName];
- }
- });
- newItem.text = highlightMatch(query, newItem.text);
- return newItem;
- });
- });
- return remappedHits;
- }
- },
- });
-}
-
-function fuseSearch(query, fuse, fuseOptions) {
- return fuse.search(query, fuseOptions).map((result) => {
- const addParam = (url, name, value) => {
- const anchorParts = url.split("#");
- const baseUrl = anchorParts[0];
- const sep = baseUrl.search("\\?") > 0 ? "&" : "?";
- anchorParts[0] = baseUrl + sep + name + "=" + value;
- return anchorParts.join("#");
- };
-
- return {
- title: result.item.title,
- section: result.item.section,
- href: addParam(result.item.href, kQueryArg, query),
- text: highlightMatch(query, result.item.text),
- };
- });
-}
diff --git a/report/final_report/final_report_files/libs/bootstrap/bootstrap-icons.css b/report/final_report/final_report_files/libs/bootstrap/bootstrap-icons.css
deleted file mode 100644
index 94f1940..0000000
--- a/report/final_report/final_report_files/libs/bootstrap/bootstrap-icons.css
+++ /dev/null
@@ -1,2018 +0,0 @@
-@font-face {
- font-display: block;
- font-family: "bootstrap-icons";
- src:
-url("./bootstrap-icons.woff?2ab2cbbe07fcebb53bdaa7313bb290f2") format("woff");
-}
-
-.bi::before,
-[class^="bi-"]::before,
-[class*=" bi-"]::before {
- display: inline-block;
- font-family: bootstrap-icons !important;
- font-style: normal;
- font-weight: normal !important;
- font-variant: normal;
- text-transform: none;
- line-height: 1;
- vertical-align: -.125em;
- -webkit-font-smoothing: antialiased;
- -moz-osx-font-smoothing: grayscale;
-}
-
-.bi-123::before { content: "\f67f"; }
-.bi-alarm-fill::before { content: "\f101"; }
-.bi-alarm::before { content: "\f102"; }
-.bi-align-bottom::before { content: "\f103"; }
-.bi-align-center::before { content: "\f104"; }
-.bi-align-end::before { content: "\f105"; }
-.bi-align-middle::before { content: "\f106"; }
-.bi-align-start::before { content: "\f107"; }
-.bi-align-top::before { content: "\f108"; }
-.bi-alt::before { content: "\f109"; }
-.bi-app-indicator::before { content: "\f10a"; }
-.bi-app::before { content: "\f10b"; }
-.bi-archive-fill::before { content: "\f10c"; }
-.bi-archive::before { content: "\f10d"; }
-.bi-arrow-90deg-down::before { content: "\f10e"; }
-.bi-arrow-90deg-left::before { content: "\f10f"; }
-.bi-arrow-90deg-right::before { content: "\f110"; }
-.bi-arrow-90deg-up::before { content: "\f111"; }
-.bi-arrow-bar-down::before { content: "\f112"; }
-.bi-arrow-bar-left::before { content: "\f113"; }
-.bi-arrow-bar-right::before { content: "\f114"; }
-.bi-arrow-bar-up::before { content: "\f115"; }
-.bi-arrow-clockwise::before { content: "\f116"; }
-.bi-arrow-counterclockwise::before { content: "\f117"; }
-.bi-arrow-down-circle-fill::before { content: "\f118"; }
-.bi-arrow-down-circle::before { content: "\f119"; }
-.bi-arrow-down-left-circle-fill::before { content: "\f11a"; }
-.bi-arrow-down-left-circle::before { content: "\f11b"; }
-.bi-arrow-down-left-square-fill::before { content: "\f11c"; }
-.bi-arrow-down-left-square::before { content: "\f11d"; }
-.bi-arrow-down-left::before { content: "\f11e"; }
-.bi-arrow-down-right-circle-fill::before { content: "\f11f"; }
-.bi-arrow-down-right-circle::before { content: "\f120"; }
-.bi-arrow-down-right-square-fill::before { content: "\f121"; }
-.bi-arrow-down-right-square::before { content: "\f122"; }
-.bi-arrow-down-right::before { content: "\f123"; }
-.bi-arrow-down-short::before { content: "\f124"; }
-.bi-arrow-down-square-fill::before { content: "\f125"; }
-.bi-arrow-down-square::before { content: "\f126"; }
-.bi-arrow-down-up::before { content: "\f127"; }
-.bi-arrow-down::before { content: "\f128"; }
-.bi-arrow-left-circle-fill::before { content: "\f129"; }
-.bi-arrow-left-circle::before { content: "\f12a"; }
-.bi-arrow-left-right::before { content: "\f12b"; }
-.bi-arrow-left-short::before { content: "\f12c"; }
-.bi-arrow-left-square-fill::before { content: "\f12d"; }
-.bi-arrow-left-square::before { content: "\f12e"; }
-.bi-arrow-left::before { content: "\f12f"; }
-.bi-arrow-repeat::before { content: "\f130"; }
-.bi-arrow-return-left::before { content: "\f131"; }
-.bi-arrow-return-right::before { content: "\f132"; }
-.bi-arrow-right-circle-fill::before { content: "\f133"; }
-.bi-arrow-right-circle::before { content: "\f134"; }
-.bi-arrow-right-short::before { content: "\f135"; }
-.bi-arrow-right-square-fill::before { content: "\f136"; }
-.bi-arrow-right-square::before { content: "\f137"; }
-.bi-arrow-right::before { content: "\f138"; }
-.bi-arrow-up-circle-fill::before { content: "\f139"; }
-.bi-arrow-up-circle::before { content: "\f13a"; }
-.bi-arrow-up-left-circle-fill::before { content: "\f13b"; }
-.bi-arrow-up-left-circle::before { content: "\f13c"; }
-.bi-arrow-up-left-square-fill::before { content: "\f13d"; }
-.bi-arrow-up-left-square::before { content: "\f13e"; }
-.bi-arrow-up-left::before { content: "\f13f"; }
-.bi-arrow-up-right-circle-fill::before { content: "\f140"; }
-.bi-arrow-up-right-circle::before { content: "\f141"; }
-.bi-arrow-up-right-square-fill::before { content: "\f142"; }
-.bi-arrow-up-right-square::before { content: "\f143"; }
-.bi-arrow-up-right::before { content: "\f144"; }
-.bi-arrow-up-short::before { content: "\f145"; }
-.bi-arrow-up-square-fill::before { content: "\f146"; }
-.bi-arrow-up-square::before { content: "\f147"; }
-.bi-arrow-up::before { content: "\f148"; }
-.bi-arrows-angle-contract::before { content: "\f149"; }
-.bi-arrows-angle-expand::before { content: "\f14a"; }
-.bi-arrows-collapse::before { content: "\f14b"; }
-.bi-arrows-expand::before { content: "\f14c"; }
-.bi-arrows-fullscreen::before { content: "\f14d"; }
-.bi-arrows-move::before { content: "\f14e"; }
-.bi-aspect-ratio-fill::before { content: "\f14f"; }
-.bi-aspect-ratio::before { content: "\f150"; }
-.bi-asterisk::before { content: "\f151"; }
-.bi-at::before { content: "\f152"; }
-.bi-award-fill::before { content: "\f153"; }
-.bi-award::before { content: "\f154"; }
-.bi-back::before { content: "\f155"; }
-.bi-backspace-fill::before { content: "\f156"; }
-.bi-backspace-reverse-fill::before { content: "\f157"; }
-.bi-backspace-reverse::before { content: "\f158"; }
-.bi-backspace::before { content: "\f159"; }
-.bi-badge-3d-fill::before { content: "\f15a"; }
-.bi-badge-3d::before { content: "\f15b"; }
-.bi-badge-4k-fill::before { content: "\f15c"; }
-.bi-badge-4k::before { content: "\f15d"; }
-.bi-badge-8k-fill::before { content: "\f15e"; }
-.bi-badge-8k::before { content: "\f15f"; }
-.bi-badge-ad-fill::before { content: "\f160"; }
-.bi-badge-ad::before { content: "\f161"; }
-.bi-badge-ar-fill::before { content: "\f162"; }
-.bi-badge-ar::before { content: "\f163"; }
-.bi-badge-cc-fill::before { content: "\f164"; }
-.bi-badge-cc::before { content: "\f165"; }
-.bi-badge-hd-fill::before { content: "\f166"; }
-.bi-badge-hd::before { content: "\f167"; }
-.bi-badge-tm-fill::before { content: "\f168"; }
-.bi-badge-tm::before { content: "\f169"; }
-.bi-badge-vo-fill::before { content: "\f16a"; }
-.bi-badge-vo::before { content: "\f16b"; }
-.bi-badge-vr-fill::before { content: "\f16c"; }
-.bi-badge-vr::before { content: "\f16d"; }
-.bi-badge-wc-fill::before { content: "\f16e"; }
-.bi-badge-wc::before { content: "\f16f"; }
-.bi-bag-check-fill::before { content: "\f170"; }
-.bi-bag-check::before { content: "\f171"; }
-.bi-bag-dash-fill::before { content: "\f172"; }
-.bi-bag-dash::before { content: "\f173"; }
-.bi-bag-fill::before { content: "\f174"; }
-.bi-bag-plus-fill::before { content: "\f175"; }
-.bi-bag-plus::before { content: "\f176"; }
-.bi-bag-x-fill::before { content: "\f177"; }
-.bi-bag-x::before { content: "\f178"; }
-.bi-bag::before { content: "\f179"; }
-.bi-bar-chart-fill::before { content: "\f17a"; }
-.bi-bar-chart-line-fill::before { content: "\f17b"; }
-.bi-bar-chart-line::before { content: "\f17c"; }
-.bi-bar-chart-steps::before { content: "\f17d"; }
-.bi-bar-chart::before { content: "\f17e"; }
-.bi-basket-fill::before { content: "\f17f"; }
-.bi-basket::before { content: "\f180"; }
-.bi-basket2-fill::before { content: "\f181"; }
-.bi-basket2::before { content: "\f182"; }
-.bi-basket3-fill::before { content: "\f183"; }
-.bi-basket3::before { content: "\f184"; }
-.bi-battery-charging::before { content: "\f185"; }
-.bi-battery-full::before { content: "\f186"; }
-.bi-battery-half::before { content: "\f187"; }
-.bi-battery::before { content: "\f188"; }
-.bi-bell-fill::before { content: "\f189"; }
-.bi-bell::before { content: "\f18a"; }
-.bi-bezier::before { content: "\f18b"; }
-.bi-bezier2::before { content: "\f18c"; }
-.bi-bicycle::before { content: "\f18d"; }
-.bi-binoculars-fill::before { content: "\f18e"; }
-.bi-binoculars::before { content: "\f18f"; }
-.bi-blockquote-left::before { content: "\f190"; }
-.bi-blockquote-right::before { content: "\f191"; }
-.bi-book-fill::before { content: "\f192"; }
-.bi-book-half::before { content: "\f193"; }
-.bi-book::before { content: "\f194"; }
-.bi-bookmark-check-fill::before { content: "\f195"; }
-.bi-bookmark-check::before { content: "\f196"; }
-.bi-bookmark-dash-fill::before { content: "\f197"; }
-.bi-bookmark-dash::before { content: "\f198"; }
-.bi-bookmark-fill::before { content: "\f199"; }
-.bi-bookmark-heart-fill::before { content: "\f19a"; }
-.bi-bookmark-heart::before { content: "\f19b"; }
-.bi-bookmark-plus-fill::before { content: "\f19c"; }
-.bi-bookmark-plus::before { content: "\f19d"; }
-.bi-bookmark-star-fill::before { content: "\f19e"; }
-.bi-bookmark-star::before { content: "\f19f"; }
-.bi-bookmark-x-fill::before { content: "\f1a0"; }
-.bi-bookmark-x::before { content: "\f1a1"; }
-.bi-bookmark::before { content: "\f1a2"; }
-.bi-bookmarks-fill::before { content: "\f1a3"; }
-.bi-bookmarks::before { content: "\f1a4"; }
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diff --git a/report/final_report/final_report_files/libs/bootstrap/bootstrap-icons.woff b/report/final_report/final_report_files/libs/bootstrap/bootstrap-icons.woff
deleted file mode 100644
index 18d21d4..0000000
Binary files a/report/final_report/final_report_files/libs/bootstrap/bootstrap-icons.woff and /dev/null differ
diff --git a/report/final_report/final_report_files/libs/bootstrap/bootstrap.min.css b/report/final_report/final_report_files/libs/bootstrap/bootstrap.min.css
deleted file mode 100644
index a87b434..0000000
--- a/report/final_report/final_report_files/libs/bootstrap/bootstrap.min.css
+++ /dev/null
@@ -1,10 +0,0 @@
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Be={placement:"bottom",modifiers:[],strategy:"absolute"};function Re(){for(var t=arguments.length,e=new Array(t),i=0;ij.on(t,"mouseover",d))),this._element.focus(),this._element.setAttribute("aria-expanded",!0),this._menu.classList.add(Je),this._element.classList.add(Je),j.trigger(this._element,"shown.bs.dropdown",t)}hide(){if(c(this._element)||!this._isShown(this._menu))return;const t={relatedTarget:this._element};this._completeHide(t)}dispose(){this._popper&&this._popper.destroy(),super.dispose()}update(){this._inNavbar=this._detectNavbar(),this._popper&&this._popper.update()}_completeHide(t){j.trigger(this._element,"hide.bs.dropdown",t).defaultPrevented||("ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._popper&&this._popper.destroy(),this._menu.classList.remove(Je),this._element.classList.remove(Je),this._element.setAttribute("aria-expanded","false"),U.removeDataAttribute(this._menu,"popper"),j.trigger(this._element,"hidden.bs.dropdown",t))}_getConfig(t){if(t={...this.constructor.Default,...U.getDataAttributes(this._element),...t},a(Ue,t,this.constructor.DefaultType),"object"==typeof t.reference&&!o(t.reference)&&"function"!=typeof t.reference.getBoundingClientRect)throw new TypeError(`${Ue.toUpperCase()}: Option "reference" provided type "object" without a required "getBoundingClientRect" method.`);return t}_createPopper(t){if(void 0===Fe)throw new TypeError("Bootstrap's dropdowns require Popper (https://popper.js.org)");let e=this._element;"parent"===this._config.reference?e=t:o(this._config.reference)?e=r(this._config.reference):"object"==typeof this._config.reference&&(e=this._config.reference);const i=this._getPopperConfig(),n=i.modifiers.find((t=>"applyStyles"===t.name&&!1===t.enabled));this._popper=qe(e,this._menu,i),n&&U.setDataAttribute(this._menu,"popper","static")}_isShown(t=this._element){return t.classList.contains(Je)}_getMenuElement(){return V.next(this._element,ei)[0]}_getPlacement(){const t=this._element.parentNode;if(t.classList.contains("dropend"))return ri;if(t.classList.contains("dropstart"))return ai;const e="end"===getComputedStyle(this._menu).getPropertyValue("--bs-position").trim();return t.classList.contains("dropup")?e?ni:ii:e?oi:si}_detectNavbar(){return null!==this._element.closest(".navbar")}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof t?e=>t(e,this._element):t}_getPopperConfig(){const t={placement:this._getPlacement(),modifiers:[{name:"preventOverflow",options:{boundary:this._config.boundary}},{name:"offset",options:{offset:this._getOffset()}}]};return"static"===this._config.display&&(t.modifiers=[{name:"applyStyles",enabled:!1}]),{...t,..."function"==typeof this._config.popperConfig?this._config.popperConfig(t):this._config.popperConfig}}_selectMenuItem({key:t,target:e}){const i=V.find(".dropdown-menu .dropdown-item:not(.disabled):not(:disabled)",this._menu).filter(l);i.length&&v(i,e,t===Ye,!i.includes(e)).focus()}static jQueryInterface(t){return this.each((function(){const e=hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t]()}}))}static clearMenus(t){if(t&&(2===t.button||"keyup"===t.type&&"Tab"!==t.key))return;const e=V.find(ti);for(let i=0,n=e.length;ie+t)),this._setElementAttributes(di,"paddingRight",(e=>e+t)),this._setElementAttributes(ui,"marginRight",(e=>e-t))}_disableOverFlow(){this._saveInitialAttribute(this._element,"overflow"),this._element.style.overflow="hidden"}_setElementAttributes(t,e,i){const n=this.getWidth();this._applyManipulationCallback(t,(t=>{if(t!==this._element&&window.innerWidth>t.clientWidth+n)return;this._saveInitialAttribute(t,e);const s=window.getComputedStyle(t)[e];t.style[e]=`${i(Number.parseFloat(s))}px`}))}reset(){this._resetElementAttributes(this._element,"overflow"),this._resetElementAttributes(this._element,"paddingRight"),this._resetElementAttributes(di,"paddingRight"),this._resetElementAttributes(ui,"marginRight")}_saveInitialAttribute(t,e){const i=t.style[e];i&&U.setDataAttribute(t,e,i)}_resetElementAttributes(t,e){this._applyManipulationCallback(t,(t=>{const i=U.getDataAttribute(t,e);void 0===i?t.style.removeProperty(e):(U.removeDataAttribute(t,e),t.style[e]=i)}))}_applyManipulationCallback(t,e){o(t)?e(t):V.find(t,this._element).forEach(e)}isOverflowing(){return this.getWidth()>0}}const pi={className:"modal-backdrop",isVisible:!0,isAnimated:!1,rootElement:"body",clickCallback:null},mi={className:"string",isVisible:"boolean",isAnimated:"boolean",rootElement:"(element|string)",clickCallback:"(function|null)"},gi="show",_i="mousedown.bs.backdrop";class bi{constructor(t){this._config=this._getConfig(t),this._isAppended=!1,this._element=null}show(t){this._config.isVisible?(this._append(),this._config.isAnimated&&u(this._getElement()),this._getElement().classList.add(gi),this._emulateAnimation((()=>{_(t)}))):_(t)}hide(t){this._config.isVisible?(this._getElement().classList.remove(gi),this._emulateAnimation((()=>{this.dispose(),_(t)}))):_(t)}_getElement(){if(!this._element){const t=document.createElement("div");t.className=this._config.className,this._config.isAnimated&&t.classList.add("fade"),this._element=t}return this._element}_getConfig(t){return(t={...pi,..."object"==typeof t?t:{}}).rootElement=r(t.rootElement),a("backdrop",t,mi),t}_append(){this._isAppended||(this._config.rootElement.append(this._getElement()),j.on(this._getElement(),_i,(()=>{_(this._config.clickCallback)})),this._isAppended=!0)}dispose(){this._isAppended&&(j.off(this._element,_i),this._element.remove(),this._isAppended=!1)}_emulateAnimation(t){b(t,this._getElement(),this._config.isAnimated)}}const vi={trapElement:null,autofocus:!0},yi={trapElement:"element",autofocus:"boolean"},wi=".bs.focustrap",Ei="backward";class Ai{constructor(t){this._config=this._getConfig(t),this._isActive=!1,this._lastTabNavDirection=null}activate(){const{trapElement:t,autofocus:e}=this._config;this._isActive||(e&&t.focus(),j.off(document,wi),j.on(document,"focusin.bs.focustrap",(t=>this._handleFocusin(t))),j.on(document,"keydown.tab.bs.focustrap",(t=>this._handleKeydown(t))),this._isActive=!0)}deactivate(){this._isActive&&(this._isActive=!1,j.off(document,wi))}_handleFocusin(t){const{target:e}=t,{trapElement:i}=this._config;if(e===document||e===i||i.contains(e))return;const n=V.focusableChildren(i);0===n.length?i.focus():this._lastTabNavDirection===Ei?n[n.length-1].focus():n[0].focus()}_handleKeydown(t){"Tab"===t.key&&(this._lastTabNavDirection=t.shiftKey?Ei:"forward")}_getConfig(t){return t={...vi,..."object"==typeof t?t:{}},a("focustrap",t,yi),t}}const Ti="modal",Oi="Escape",Ci={backdrop:!0,keyboard:!0,focus:!0},ki={backdrop:"(boolean|string)",keyboard:"boolean",focus:"boolean"},Li="hidden.bs.modal",xi="show.bs.modal",Di="resize.bs.modal",Si="click.dismiss.bs.modal",Ni="keydown.dismiss.bs.modal",Ii="mousedown.dismiss.bs.modal",Pi="modal-open",ji="show",Mi="modal-static";class Hi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._dialog=V.findOne(".modal-dialog",this._element),this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._isShown=!1,this._ignoreBackdropClick=!1,this._isTransitioning=!1,this._scrollBar=new fi}static get Default(){return Ci}static get NAME(){return Ti}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||this._isTransitioning||j.trigger(this._element,xi,{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._isAnimated()&&(this._isTransitioning=!0),this._scrollBar.hide(),document.body.classList.add(Pi),this._adjustDialog(),this._setEscapeEvent(),this._setResizeEvent(),j.on(this._dialog,Ii,(()=>{j.one(this._element,"mouseup.dismiss.bs.modal",(t=>{t.target===this._element&&(this._ignoreBackdropClick=!0)}))})),this._showBackdrop((()=>this._showElement(t))))}hide(){if(!this._isShown||this._isTransitioning)return;if(j.trigger(this._element,"hide.bs.modal").defaultPrevented)return;this._isShown=!1;const t=this._isAnimated();t&&(this._isTransitioning=!0),this._setEscapeEvent(),this._setResizeEvent(),this._focustrap.deactivate(),this._element.classList.remove(ji),j.off(this._element,Si),j.off(this._dialog,Ii),this._queueCallback((()=>this._hideModal()),this._element,t)}dispose(){[window,this._dialog].forEach((t=>j.off(t,".bs.modal"))),this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}handleUpdate(){this._adjustDialog()}_initializeBackDrop(){return new bi({isVisible:Boolean(this._config.backdrop),isAnimated:this._isAnimated()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_getConfig(t){return t={...Ci,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Ti,t,ki),t}_showElement(t){const e=this._isAnimated(),i=V.findOne(".modal-body",this._dialog);this._element.parentNode&&this._element.parentNode.nodeType===Node.ELEMENT_NODE||document.body.append(this._element),this._element.style.display="block",this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.scrollTop=0,i&&(i.scrollTop=0),e&&u(this._element),this._element.classList.add(ji),this._queueCallback((()=>{this._config.focus&&this._focustrap.activate(),this._isTransitioning=!1,j.trigger(this._element,"shown.bs.modal",{relatedTarget:t})}),this._dialog,e)}_setEscapeEvent(){this._isShown?j.on(this._element,Ni,(t=>{this._config.keyboard&&t.key===Oi?(t.preventDefault(),this.hide()):this._config.keyboard||t.key!==Oi||this._triggerBackdropTransition()})):j.off(this._element,Ni)}_setResizeEvent(){this._isShown?j.on(window,Di,(()=>this._adjustDialog())):j.off(window,Di)}_hideModal(){this._element.style.display="none",this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._isTransitioning=!1,this._backdrop.hide((()=>{document.body.classList.remove(Pi),this._resetAdjustments(),this._scrollBar.reset(),j.trigger(this._element,Li)}))}_showBackdrop(t){j.on(this._element,Si,(t=>{this._ignoreBackdropClick?this._ignoreBackdropClick=!1:t.target===t.currentTarget&&(!0===this._config.backdrop?this.hide():"static"===this._config.backdrop&&this._triggerBackdropTransition())})),this._backdrop.show(t)}_isAnimated(){return this._element.classList.contains("fade")}_triggerBackdropTransition(){if(j.trigger(this._element,"hidePrevented.bs.modal").defaultPrevented)return;const{classList:t,scrollHeight:e,style:i}=this._element,n=e>document.documentElement.clientHeight;!n&&"hidden"===i.overflowY||t.contains(Mi)||(n||(i.overflowY="hidden"),t.add(Mi),this._queueCallback((()=>{t.remove(Mi),n||this._queueCallback((()=>{i.overflowY=""}),this._dialog)}),this._dialog),this._element.focus())}_adjustDialog(){const t=this._element.scrollHeight>document.documentElement.clientHeight,e=this._scrollBar.getWidth(),i=e>0;(!i&&t&&!m()||i&&!t&&m())&&(this._element.style.paddingLeft=`${e}px`),(i&&!t&&!m()||!i&&t&&m())&&(this._element.style.paddingRight=`${e}px`)}_resetAdjustments(){this._element.style.paddingLeft="",this._element.style.paddingRight=""}static jQueryInterface(t,e){return this.each((function(){const i=Hi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===i[t])throw new TypeError(`No method named "${t}"`);i[t](e)}}))}}j.on(document,"click.bs.modal.data-api",'[data-bs-toggle="modal"]',(function(t){const e=n(this);["A","AREA"].includes(this.tagName)&&t.preventDefault(),j.one(e,xi,(t=>{t.defaultPrevented||j.one(e,Li,(()=>{l(this)&&this.focus()}))}));const i=V.findOne(".modal.show");i&&Hi.getInstance(i).hide(),Hi.getOrCreateInstance(e).toggle(this)})),R(Hi),g(Hi);const Bi="offcanvas",Ri={backdrop:!0,keyboard:!0,scroll:!1},Wi={backdrop:"boolean",keyboard:"boolean",scroll:"boolean"},$i="show",zi=".offcanvas.show",qi="hidden.bs.offcanvas";class Fi extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._isShown=!1,this._backdrop=this._initializeBackDrop(),this._focustrap=this._initializeFocusTrap(),this._addEventListeners()}static get NAME(){return Bi}static get Default(){return Ri}toggle(t){return this._isShown?this.hide():this.show(t)}show(t){this._isShown||j.trigger(this._element,"show.bs.offcanvas",{relatedTarget:t}).defaultPrevented||(this._isShown=!0,this._element.style.visibility="visible",this._backdrop.show(),this._config.scroll||(new fi).hide(),this._element.removeAttribute("aria-hidden"),this._element.setAttribute("aria-modal",!0),this._element.setAttribute("role","dialog"),this._element.classList.add($i),this._queueCallback((()=>{this._config.scroll||this._focustrap.activate(),j.trigger(this._element,"shown.bs.offcanvas",{relatedTarget:t})}),this._element,!0))}hide(){this._isShown&&(j.trigger(this._element,"hide.bs.offcanvas").defaultPrevented||(this._focustrap.deactivate(),this._element.blur(),this._isShown=!1,this._element.classList.remove($i),this._backdrop.hide(),this._queueCallback((()=>{this._element.setAttribute("aria-hidden",!0),this._element.removeAttribute("aria-modal"),this._element.removeAttribute("role"),this._element.style.visibility="hidden",this._config.scroll||(new fi).reset(),j.trigger(this._element,qi)}),this._element,!0)))}dispose(){this._backdrop.dispose(),this._focustrap.deactivate(),super.dispose()}_getConfig(t){return t={...Ri,...U.getDataAttributes(this._element),..."object"==typeof t?t:{}},a(Bi,t,Wi),t}_initializeBackDrop(){return new bi({className:"offcanvas-backdrop",isVisible:this._config.backdrop,isAnimated:!0,rootElement:this._element.parentNode,clickCallback:()=>this.hide()})}_initializeFocusTrap(){return new Ai({trapElement:this._element})}_addEventListeners(){j.on(this._element,"keydown.dismiss.bs.offcanvas",(t=>{this._config.keyboard&&"Escape"===t.key&&this.hide()}))}static jQueryInterface(t){return this.each((function(){const e=Fi.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t]||t.startsWith("_")||"constructor"===t)throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}j.on(document,"click.bs.offcanvas.data-api",'[data-bs-toggle="offcanvas"]',(function(t){const e=n(this);if(["A","AREA"].includes(this.tagName)&&t.preventDefault(),c(this))return;j.one(e,qi,(()=>{l(this)&&this.focus()}));const i=V.findOne(zi);i&&i!==e&&Fi.getInstance(i).hide(),Fi.getOrCreateInstance(e).toggle(this)})),j.on(window,"load.bs.offcanvas.data-api",(()=>V.find(zi).forEach((t=>Fi.getOrCreateInstance(t).show())))),R(Fi),g(Fi);const Ui=new Set(["background","cite","href","itemtype","longdesc","poster","src","xlink:href"]),Vi=/^(?:(?:https?|mailto|ftp|tel|file|sms):|[^#&/:?]*(?:[#/?]|$))/i,Ki=/^data:(?:image\/(?:bmp|gif|jpeg|jpg|png|tiff|webp)|video\/(?:mpeg|mp4|ogg|webm)|audio\/(?:mp3|oga|ogg|opus));base64,[\d+/a-z]+=*$/i,Xi=(t,e)=>{const i=t.nodeName.toLowerCase();if(e.includes(i))return!Ui.has(i)||Boolean(Vi.test(t.nodeValue)||Ki.test(t.nodeValue));const n=e.filter((t=>t instanceof RegExp));for(let t=0,e=n.length;t{Xi(t,r)||i.removeAttribute(t.nodeName)}))}return n.body.innerHTML}const Qi="tooltip",Gi=new Set(["sanitize","allowList","sanitizeFn"]),Zi={animation:"boolean",template:"string",title:"(string|element|function)",trigger:"string",delay:"(number|object)",html:"boolean",selector:"(string|boolean)",placement:"(string|function)",offset:"(array|string|function)",container:"(string|element|boolean)",fallbackPlacements:"array",boundary:"(string|element)",customClass:"(string|function)",sanitize:"boolean",sanitizeFn:"(null|function)",allowList:"object",popperConfig:"(null|object|function)"},Ji={AUTO:"auto",TOP:"top",RIGHT:m()?"left":"right",BOTTOM:"bottom",LEFT:m()?"right":"left"},tn={animation:!0,template:'',trigger:"hover focus",title:"",delay:0,html:!1,selector:!1,placement:"top",offset:[0,0],container:!1,fallbackPlacements:["top","right","bottom","left"],boundary:"clippingParents",customClass:"",sanitize:!0,sanitizeFn:null,allowList:{"*":["class","dir","id","lang","role",/^aria-[\w-]*$/i],a:["target","href","title","rel"],area:[],b:[],br:[],col:[],code:[],div:[],em:[],hr:[],h1:[],h2:[],h3:[],h4:[],h5:[],h6:[],i:[],img:["src","srcset","alt","title","width","height"],li:[],ol:[],p:[],pre:[],s:[],small:[],span:[],sub:[],sup:[],strong:[],u:[],ul:[]},popperConfig:null},en={HIDE:"hide.bs.tooltip",HIDDEN:"hidden.bs.tooltip",SHOW:"show.bs.tooltip",SHOWN:"shown.bs.tooltip",INSERTED:"inserted.bs.tooltip",CLICK:"click.bs.tooltip",FOCUSIN:"focusin.bs.tooltip",FOCUSOUT:"focusout.bs.tooltip",MOUSEENTER:"mouseenter.bs.tooltip",MOUSELEAVE:"mouseleave.bs.tooltip"},nn="fade",sn="show",on="show",rn="out",an=".tooltip-inner",ln=".modal",cn="hide.bs.modal",hn="hover",dn="focus";class un extends B{constructor(t,e){if(void 0===Fe)throw new TypeError("Bootstrap's tooltips require Popper (https://popper.js.org)");super(t),this._isEnabled=!0,this._timeout=0,this._hoverState="",this._activeTrigger={},this._popper=null,this._config=this._getConfig(e),this.tip=null,this._setListeners()}static get Default(){return tn}static get NAME(){return Qi}static get Event(){return en}static get DefaultType(){return Zi}enable(){this._isEnabled=!0}disable(){this._isEnabled=!1}toggleEnabled(){this._isEnabled=!this._isEnabled}toggle(t){if(this._isEnabled)if(t){const e=this._initializeOnDelegatedTarget(t);e._activeTrigger.click=!e._activeTrigger.click,e._isWithActiveTrigger()?e._enter(null,e):e._leave(null,e)}else{if(this.getTipElement().classList.contains(sn))return void this._leave(null,this);this._enter(null,this)}}dispose(){clearTimeout(this._timeout),j.off(this._element.closest(ln),cn,this._hideModalHandler),this.tip&&this.tip.remove(),this._disposePopper(),super.dispose()}show(){if("none"===this._element.style.display)throw new Error("Please use show on visible elements");if(!this.isWithContent()||!this._isEnabled)return;const t=j.trigger(this._element,this.constructor.Event.SHOW),e=h(this._element),i=null===e?this._element.ownerDocument.documentElement.contains(this._element):e.contains(this._element);if(t.defaultPrevented||!i)return;"tooltip"===this.constructor.NAME&&this.tip&&this.getTitle()!==this.tip.querySelector(an).innerHTML&&(this._disposePopper(),this.tip.remove(),this.tip=null);const n=this.getTipElement(),s=(t=>{do{t+=Math.floor(1e6*Math.random())}while(document.getElementById(t));return t})(this.constructor.NAME);n.setAttribute("id",s),this._element.setAttribute("aria-describedby",s),this._config.animation&&n.classList.add(nn);const o="function"==typeof this._config.placement?this._config.placement.call(this,n,this._element):this._config.placement,r=this._getAttachment(o);this._addAttachmentClass(r);const{container:a}=this._config;H.set(n,this.constructor.DATA_KEY,this),this._element.ownerDocument.documentElement.contains(this.tip)||(a.append(n),j.trigger(this._element,this.constructor.Event.INSERTED)),this._popper?this._popper.update():this._popper=qe(this._element,n,this._getPopperConfig(r)),n.classList.add(sn);const l=this._resolvePossibleFunction(this._config.customClass);l&&n.classList.add(...l.split(" ")),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>{j.on(t,"mouseover",d)}));const c=this.tip.classList.contains(nn);this._queueCallback((()=>{const t=this._hoverState;this._hoverState=null,j.trigger(this._element,this.constructor.Event.SHOWN),t===rn&&this._leave(null,this)}),this.tip,c)}hide(){if(!this._popper)return;const t=this.getTipElement();if(j.trigger(this._element,this.constructor.Event.HIDE).defaultPrevented)return;t.classList.remove(sn),"ontouchstart"in document.documentElement&&[].concat(...document.body.children).forEach((t=>j.off(t,"mouseover",d))),this._activeTrigger.click=!1,this._activeTrigger.focus=!1,this._activeTrigger.hover=!1;const e=this.tip.classList.contains(nn);this._queueCallback((()=>{this._isWithActiveTrigger()||(this._hoverState!==on&&t.remove(),this._cleanTipClass(),this._element.removeAttribute("aria-describedby"),j.trigger(this._element,this.constructor.Event.HIDDEN),this._disposePopper())}),this.tip,e),this._hoverState=""}update(){null!==this._popper&&this._popper.update()}isWithContent(){return Boolean(this.getTitle())}getTipElement(){if(this.tip)return this.tip;const t=document.createElement("div");t.innerHTML=this._config.template;const e=t.children[0];return this.setContent(e),e.classList.remove(nn,sn),this.tip=e,this.tip}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),an)}_sanitizeAndSetContent(t,e,i){const n=V.findOne(i,t);e||!n?this.setElementContent(n,e):n.remove()}setElementContent(t,e){if(null!==t)return o(e)?(e=r(e),void(this._config.html?e.parentNode!==t&&(t.innerHTML="",t.append(e)):t.textContent=e.textContent)):void(this._config.html?(this._config.sanitize&&(e=Yi(e,this._config.allowList,this._config.sanitizeFn)),t.innerHTML=e):t.textContent=e)}getTitle(){const t=this._element.getAttribute("data-bs-original-title")||this._config.title;return this._resolvePossibleFunction(t)}updateAttachment(t){return"right"===t?"end":"left"===t?"start":t}_initializeOnDelegatedTarget(t,e){return e||this.constructor.getOrCreateInstance(t.delegateTarget,this._getDelegateConfig())}_getOffset(){const{offset:t}=this._config;return"string"==typeof t?t.split(",").map((t=>Number.parseInt(t,10))):"function"==typeof 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fn={...un.Default,placement:"right",offset:[0,8],trigger:"click",content:"",template:''},pn={...un.DefaultType,content:"(string|element|function)"},mn={HIDE:"hide.bs.popover",HIDDEN:"hidden.bs.popover",SHOW:"show.bs.popover",SHOWN:"shown.bs.popover",INSERTED:"inserted.bs.popover",CLICK:"click.bs.popover",FOCUSIN:"focusin.bs.popover",FOCUSOUT:"focusout.bs.popover",MOUSEENTER:"mouseenter.bs.popover",MOUSELEAVE:"mouseleave.bs.popover"};class gn extends un{static get Default(){return fn}static get NAME(){return"popover"}static get Event(){return mn}static get DefaultType(){return pn}isWithContent(){return this.getTitle()||this._getContent()}setContent(t){this._sanitizeAndSetContent(t,this.getTitle(),".popover-header"),this._sanitizeAndSetContent(t,this._getContent(),".popover-body")}_getContent(){return this._resolvePossibleFunction(this._config.content)}_getBasicClassPrefix(){return"bs-popover"}static jQueryInterface(t){return this.each((function(){const 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t=this._scrollElement===this._scrollElement.window?"offset":En,e="auto"===this._config.method?t:this._config.method,n=e===En?this._getScrollTop():0;this._offsets=[],this._targets=[],this._scrollHeight=this._getScrollHeight(),V.find(wn,this._config.target).map((t=>{const s=i(t),o=s?V.findOne(s):null;if(o){const t=o.getBoundingClientRect();if(t.width||t.height)return[U[e](o).top+n,s]}return null})).filter((t=>t)).sort(((t,e)=>t[0]-e[0])).forEach((t=>{this._offsets.push(t[0]),this._targets.push(t[1])}))}dispose(){j.off(this._scrollElement,".bs.scrollspy"),super.dispose()}_getConfig(t){return(t={...bn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}}).target=r(t.target)||document.documentElement,a(_n,t,vn),t}_getScrollTop(){return this._scrollElement===window?this._scrollElement.pageYOffset:this._scrollElement.scrollTop}_getScrollHeight(){return 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Dn="toast",Sn="hide",Nn="show",In="showing",Pn={animation:"boolean",autohide:"boolean",delay:"number"},jn={animation:!0,autohide:!0,delay:5e3};class Mn extends B{constructor(t,e){super(t),this._config=this._getConfig(e),this._timeout=null,this._hasMouseInteraction=!1,this._hasKeyboardInteraction=!1,this._setListeners()}static get DefaultType(){return Pn}static get Default(){return jn}static get NAME(){return Dn}show(){j.trigger(this._element,"show.bs.toast").defaultPrevented||(this._clearTimeout(),this._config.animation&&this._element.classList.add("fade"),this._element.classList.remove(Sn),u(this._element),this._element.classList.add(Nn),this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.remove(In),j.trigger(this._element,"shown.bs.toast"),this._maybeScheduleHide()}),this._element,this._config.animation))}hide(){this._element.classList.contains(Nn)&&(j.trigger(this._element,"hide.bs.toast").defaultPrevented||(this._element.classList.add(In),this._queueCallback((()=>{this._element.classList.add(Sn),this._element.classList.remove(In),this._element.classList.remove(Nn),j.trigger(this._element,"hidden.bs.toast")}),this._element,this._config.animation)))}dispose(){this._clearTimeout(),this._element.classList.contains(Nn)&&this._element.classList.remove(Nn),super.dispose()}_getConfig(t){return t={...jn,...U.getDataAttributes(this._element),..."object"==typeof t&&t?t:{}},a(Dn,t,this.constructor.DefaultType),t}_maybeScheduleHide(){this._config.autohide&&(this._hasMouseInteraction||this._hasKeyboardInteraction||(this._timeout=setTimeout((()=>{this.hide()}),this._config.delay)))}_onInteraction(t,e){switch(t.type){case"mouseover":case"mouseout":this._hasMouseInteraction=e;break;case"focusin":case"focusout":this._hasKeyboardInteraction=e}if(e)return void this._clearTimeout();const i=t.relatedTarget;this._element===i||this._element.contains(i)||this._maybeScheduleHide()}_setListeners(){j.on(this._element,"mouseover.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"mouseout.bs.toast",(t=>this._onInteraction(t,!1))),j.on(this._element,"focusin.bs.toast",(t=>this._onInteraction(t,!0))),j.on(this._element,"focusout.bs.toast",(t=>this._onInteraction(t,!1)))}_clearTimeout(){clearTimeout(this._timeout),this._timeout=null}static jQueryInterface(t){return this.each((function(){const e=Mn.getOrCreateInstance(this,t);if("string"==typeof t){if(void 0===e[t])throw new TypeError(`No method named "${t}"`);e[t](this)}}))}}return R(Mn),g(Mn),{Alert:W,Button:z,Carousel:st,Collapse:pt,Dropdown:hi,Modal:Hi,Offcanvas:Fi,Popover:gn,ScrollSpy:An,Tab:xn,Toast:Mn,Tooltip:un}}));
-//# sourceMappingURL=bootstrap.bundle.min.js.map
\ No newline at end of file
diff --git a/report/final_report/final_report_files/libs/clipboard/clipboard.min.js b/report/final_report/final_report_files/libs/clipboard/clipboard.min.js
deleted file mode 100644
index 1103f81..0000000
--- a/report/final_report/final_report_files/libs/clipboard/clipboard.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
-/*!
- * clipboard.js v2.0.11
- * https://clipboardjs.com/
- *
- * Licensed MIT © Zeno Rocha
- */
-!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return b}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),r=n.n(e);function c(t){try{return document.execCommand(t)}catch(t){return}}var a=function(t){t=r()(t);return c("cut"),t};function o(t,e){var n,o,t=(n=t,o="rtl"===document.documentElement.getAttribute("dir"),(t=document.createElement("textarea")).style.fontSize="12pt",t.style.border="0",t.style.padding="0",t.style.margin="0",t.style.position="absolute",t.style[o?"right":"left"]="-9999px",o=window.pageYOffset||document.documentElement.scrollTop,t.style.top="".concat(o,"px"),t.setAttribute("readonly",""),t.value=n,t);return e.container.appendChild(t),e=r()(t),c("copy"),t.remove(),e}var f=function(t){var e=1.anchorjs-link,.anchorjs-link:focus{opacity:1}",u.sheet.cssRules.length),u.sheet.insertRule("[data-anchorjs-icon]::after{content:attr(data-anchorjs-icon)}",u.sheet.cssRules.length),u.sheet.insertRule('@font-face{font-family:anchorjs-icons;src:url(data:n/a;base64,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) format("truetype")}',u.sheet.cssRules.length)),u=document.querySelectorAll("[id]"),t=[].map.call(u,function(A){return A.id}),i=0;i\]./()*\\\n\t\b\v\u00A0]/g,"-").replace(/-{2,}/g,"-").substring(0,this.options.truncate).replace(/^-+|-+$/gm,"").toLowerCase()},this.hasAnchorJSLink=function(A){var e=A.firstChild&&-1<(" "+A.firstChild.className+" ").indexOf(" anchorjs-link "),A=A.lastChild&&-1<(" "+A.lastChild.className+" ").indexOf(" anchorjs-link ");return e||A||!1}}});
-// @license-end
\ No newline at end of file
diff --git a/report/final_report/final_report_files/libs/quarto-html/popper.min.js b/report/final_report/final_report_files/libs/quarto-html/popper.min.js
deleted file mode 100644
index 2269d66..0000000
--- a/report/final_report/final_report_files/libs/quarto-html/popper.min.js
+++ /dev/null
@@ -1,6 +0,0 @@
-/**
- * @popperjs/core v2.11.4 - MIT License
- */
-
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diff --git a/report/final_report/final_report_files/libs/quarto-html/quarto-syntax-highlighting.css b/report/final_report/final_report_files/libs/quarto-html/quarto-syntax-highlighting.css
deleted file mode 100644
index d9fd98f..0000000
--- a/report/final_report/final_report_files/libs/quarto-html/quarto-syntax-highlighting.css
+++ /dev/null
@@ -1,203 +0,0 @@
-/* quarto syntax highlight colors */
-:root {
- --quarto-hl-ot-color: #003B4F;
- --quarto-hl-at-color: #657422;
- --quarto-hl-ss-color: #20794D;
- --quarto-hl-an-color: #5E5E5E;
- --quarto-hl-fu-color: #4758AB;
- --quarto-hl-st-color: #20794D;
- --quarto-hl-cf-color: #003B4F;
- --quarto-hl-op-color: #5E5E5E;
- --quarto-hl-er-color: #AD0000;
- --quarto-hl-bn-color: #AD0000;
- --quarto-hl-al-color: #AD0000;
- --quarto-hl-va-color: #111111;
- --quarto-hl-bu-color: inherit;
- --quarto-hl-ex-color: inherit;
- --quarto-hl-pp-color: #AD0000;
- --quarto-hl-in-color: #5E5E5E;
- --quarto-hl-vs-color: #20794D;
- --quarto-hl-wa-color: #5E5E5E;
- --quarto-hl-do-color: #5E5E5E;
- --quarto-hl-im-color: #00769E;
- --quarto-hl-ch-color: #20794D;
- --quarto-hl-dt-color: #AD0000;
- --quarto-hl-fl-color: #AD0000;
- --quarto-hl-co-color: #5E5E5E;
- --quarto-hl-cv-color: #5E5E5E;
- --quarto-hl-cn-color: #8f5902;
- --quarto-hl-sc-color: #5E5E5E;
- --quarto-hl-dv-color: #AD0000;
- --quarto-hl-kw-color: #003B4F;
-}
-
-/* other quarto variables */
-:root {
- --quarto-font-monospace: SFMono-Regular, Menlo, Monaco, Consolas, "Liberation Mono", "Courier New", monospace;
-}
-
-pre > code.sourceCode > span {
- color: #003B4F;
-}
-
-code span {
- color: #003B4F;
-}
-
-code.sourceCode > span {
- color: #003B4F;
-}
-
-div.sourceCode,
-div.sourceCode pre.sourceCode {
- color: #003B4F;
-}
-
-code span.ot {
- color: #003B4F;
- font-style: inherit;
-}
-
-code span.at {
- color: #657422;
- font-style: inherit;
-}
-
-code span.ss {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.an {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.fu {
- color: #4758AB;
- font-style: inherit;
-}
-
-code span.st {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.cf {
- color: #003B4F;
- font-style: inherit;
-}
-
-code span.op {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.er {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.bn {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.al {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.va {
- color: #111111;
- font-style: inherit;
-}
-
-code span.bu {
- font-style: inherit;
-}
-
-code span.ex {
- font-style: inherit;
-}
-
-code span.pp {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.in {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.vs {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.wa {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.do {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.im {
- color: #00769E;
- font-style: inherit;
-}
-
-code span.ch {
- color: #20794D;
- font-style: inherit;
-}
-
-code span.dt {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.fl {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.co {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.cv {
- color: #5E5E5E;
- font-style: italic;
-}
-
-code span.cn {
- color: #8f5902;
- font-style: inherit;
-}
-
-code span.sc {
- color: #5E5E5E;
- font-style: inherit;
-}
-
-code span.dv {
- color: #AD0000;
- font-style: inherit;
-}
-
-code span.kw {
- color: #003B4F;
- font-style: inherit;
-}
-
-.prevent-inlining {
- content: "";
-}
-
-/*# sourceMappingURL=debc5d5d77c3f9108843748ff7464032.css.map */
diff --git a/report/final_report/final_report_files/libs/quarto-html/quarto.js b/report/final_report/final_report_files/libs/quarto-html/quarto.js
deleted file mode 100644
index c3935c7..0000000
--- a/report/final_report/final_report_files/libs/quarto-html/quarto.js
+++ /dev/null
@@ -1,902 +0,0 @@
-const sectionChanged = new CustomEvent("quarto-sectionChanged", {
- detail: {},
- bubbles: true,
- cancelable: false,
- composed: false,
-});
-
-const layoutMarginEls = () => {
- // Find any conflicting margin elements and add margins to the
- // top to prevent overlap
- const marginChildren = window.document.querySelectorAll(
- ".column-margin.column-container > * "
- );
-
- let lastBottom = 0;
- for (const marginChild of marginChildren) {
- if (marginChild.offsetParent !== null) {
- // clear the top margin so we recompute it
- marginChild.style.marginTop = null;
- const top = marginChild.getBoundingClientRect().top + window.scrollY;
- console.log({
- childtop: marginChild.getBoundingClientRect().top,
- scroll: window.scrollY,
- top,
- lastBottom,
- });
- if (top < lastBottom) {
- const margin = lastBottom - top;
- marginChild.style.marginTop = `${margin}px`;
- }
- const styles = window.getComputedStyle(marginChild);
- const marginTop = parseFloat(styles["marginTop"]);
-
- console.log({
- top,
- height: marginChild.getBoundingClientRect().height,
- marginTop,
- total: top + marginChild.getBoundingClientRect().height + marginTop,
- });
- lastBottom = top + marginChild.getBoundingClientRect().height + marginTop;
- }
- }
-};
-
-window.document.addEventListener("DOMContentLoaded", function (_event) {
- // Recompute the position of margin elements anytime the body size changes
- if (window.ResizeObserver) {
- const resizeObserver = new window.ResizeObserver(
- throttle(layoutMarginEls, 50)
- );
- resizeObserver.observe(window.document.body);
- }
-
- const tocEl = window.document.querySelector('nav.toc-active[role="doc-toc"]');
- const sidebarEl = window.document.getElementById("quarto-sidebar");
- const leftTocEl = window.document.getElementById("quarto-sidebar-toc-left");
- const marginSidebarEl = window.document.getElementById(
- "quarto-margin-sidebar"
- );
- // function to determine whether the element has a previous sibling that is active
- const prevSiblingIsActiveLink = (el) => {
- const sibling = el.previousElementSibling;
- if (sibling && sibling.tagName === "A") {
- return sibling.classList.contains("active");
- } else {
- return false;
- }
- };
-
- // fire slideEnter for bootstrap tab activations (for htmlwidget resize behavior)
- function fireSlideEnter(e) {
- const event = window.document.createEvent("Event");
- event.initEvent("slideenter", true, true);
- window.document.dispatchEvent(event);
- }
- const tabs = window.document.querySelectorAll('a[data-bs-toggle="tab"]');
- tabs.forEach((tab) => {
- tab.addEventListener("shown.bs.tab", fireSlideEnter);
- });
-
- // fire slideEnter for tabby tab activations (for htmlwidget resize behavior)
- document.addEventListener("tabby", fireSlideEnter, false);
-
- // Track scrolling and mark TOC links as active
- // get table of contents and sidebar (bail if we don't have at least one)
- const tocLinks = tocEl
- ? [...tocEl.querySelectorAll("a[data-scroll-target]")]
- : [];
- const makeActive = (link) => tocLinks[link].classList.add("active");
- const removeActive = (link) => tocLinks[link].classList.remove("active");
- const removeAllActive = () =>
- [...Array(tocLinks.length).keys()].forEach((link) => removeActive(link));
-
- // activate the anchor for a section associated with this TOC entry
- tocLinks.forEach((link) => {
- link.addEventListener("click", () => {
- if (link.href.indexOf("#") !== -1) {
- const anchor = link.href.split("#")[1];
- const heading = window.document.querySelector(
- `[data-anchor-id=${anchor}]`
- );
- if (heading) {
- // Add the class
- heading.classList.add("reveal-anchorjs-link");
-
- // function to show the anchor
- const handleMouseout = () => {
- heading.classList.remove("reveal-anchorjs-link");
- heading.removeEventListener("mouseout", handleMouseout);
- };
-
- // add a function to clear the anchor when the user mouses out of it
- heading.addEventListener("mouseout", handleMouseout);
- }
- }
- });
- });
-
- const sections = tocLinks.map((link) => {
- const target = link.getAttribute("data-scroll-target");
- if (target.startsWith("#")) {
- return window.document.getElementById(decodeURI(`${target.slice(1)}`));
- } else {
- return window.document.querySelector(decodeURI(`${target}`));
- }
- });
-
- const sectionMargin = 200;
- let currentActive = 0;
- // track whether we've initialized state the first time
- let init = false;
-
- const updateActiveLink = () => {
- // The index from bottom to top (e.g. reversed list)
- let sectionIndex = -1;
- if (
- window.innerHeight + window.pageYOffset >=
- window.document.body.offsetHeight
- ) {
- sectionIndex = 0;
- } else {
- sectionIndex = [...sections].reverse().findIndex((section) => {
- if (section) {
- return window.pageYOffset >= section.offsetTop - sectionMargin;
- } else {
- return false;
- }
- });
- }
- if (sectionIndex > -1) {
- const current = sections.length - sectionIndex - 1;
- if (current !== currentActive) {
- removeAllActive();
- currentActive = current;
- makeActive(current);
- if (init) {
- window.dispatchEvent(sectionChanged);
- }
- init = true;
- }
- }
- };
-
- const inHiddenRegion = (top, bottom, hiddenRegions) => {
- for (const region of hiddenRegions) {
- if (top <= region.bottom && bottom >= region.top) {
- return true;
- }
- }
- return false;
- };
-
- const categorySelector = "header.quarto-title-block .quarto-category";
- const activateCategories = (href) => {
- // Find any categories
- // Surround them with a link pointing back to:
- // #category=Authoring
- try {
- const categoryEls = window.document.querySelectorAll(categorySelector);
- for (const categoryEl of categoryEls) {
- const categoryText = categoryEl.textContent;
- if (categoryText) {
- const link = `${href}#category=${encodeURIComponent(categoryText)}`;
- const linkEl = window.document.createElement("a");
- linkEl.setAttribute("href", link);
- for (const child of categoryEl.childNodes) {
- linkEl.append(child);
- }
- categoryEl.appendChild(linkEl);
- }
- }
- } catch {
- // Ignore errors
- }
- };
- function hasTitleCategories() {
- return window.document.querySelector(categorySelector) !== null;
- }
-
- function offsetRelativeUrl(url) {
- const offset = getMeta("quarto:offset");
- return offset ? offset + url : url;
- }
-
- function offsetAbsoluteUrl(url) {
- const offset = getMeta("quarto:offset");
- const baseUrl = new URL(offset, window.location);
-
- const projRelativeUrl = url.replace(baseUrl, "");
- if (projRelativeUrl.startsWith("/")) {
- return projRelativeUrl;
- } else {
- return "/" + projRelativeUrl;
- }
- }
-
- // read a meta tag value
- function getMeta(metaName) {
- const metas = window.document.getElementsByTagName("meta");
- for (let i = 0; i < metas.length; i++) {
- if (metas[i].getAttribute("name") === metaName) {
- return metas[i].getAttribute("content");
- }
- }
- return "";
- }
-
- async function findAndActivateCategories() {
- const currentPagePath = offsetAbsoluteUrl(window.location.href);
- const response = await fetch(offsetRelativeUrl("listings.json"));
- if (response.status == 200) {
- return response.json().then(function (listingPaths) {
- const listingHrefs = [];
- for (const listingPath of listingPaths) {
- const pathWithoutLeadingSlash = listingPath.listing.substring(1);
- for (const item of listingPath.items) {
- if (
- item === currentPagePath ||
- item === currentPagePath + "index.html"
- ) {
- // Resolve this path against the offset to be sure
- // we already are using the correct path to the listing
- // (this adjusts the listing urls to be rooted against
- // whatever root the page is actually running against)
- const relative = offsetRelativeUrl(pathWithoutLeadingSlash);
- const baseUrl = window.location;
- const resolvedPath = new URL(relative, baseUrl);
- listingHrefs.push(resolvedPath.pathname);
- break;
- }
- }
- }
-
- // Look up the tree for a nearby linting and use that if we find one
- const nearestListing = findNearestParentListing(
- offsetAbsoluteUrl(window.location.pathname),
- listingHrefs
- );
- if (nearestListing) {
- activateCategories(nearestListing);
- } else {
- // See if the referrer is a listing page for this item
- const referredRelativePath = offsetAbsoluteUrl(document.referrer);
- const referrerListing = listingHrefs.find((listingHref) => {
- const isListingReferrer =
- listingHref === referredRelativePath ||
- listingHref === referredRelativePath + "index.html";
- return isListingReferrer;
- });
-
- if (referrerListing) {
- // Try to use the referrer if possible
- activateCategories(referrerListing);
- } else if (listingHrefs.length > 0) {
- // Otherwise, just fall back to the first listing
- activateCategories(listingHrefs[0]);
- }
- }
- });
- }
- }
- if (hasTitleCategories()) {
- findAndActivateCategories();
- }
-
- const findNearestParentListing = (href, listingHrefs) => {
- if (!href || !listingHrefs) {
- return undefined;
- }
- // Look up the tree for a nearby linting and use that if we find one
- const relativeParts = href.substring(1).split("/");
- while (relativeParts.length > 0) {
- const path = relativeParts.join("/");
- for (const listingHref of listingHrefs) {
- if (listingHref.startsWith(path)) {
- return listingHref;
- }
- }
- relativeParts.pop();
- }
-
- return undefined;
- };
-
- const manageSidebarVisiblity = (el, placeholderDescriptor) => {
- let isVisible = true;
- let elRect;
-
- return (hiddenRegions) => {
- if (el === null) {
- return;
- }
-
- // Find the last element of the TOC
- const lastChildEl = el.lastElementChild;
-
- if (lastChildEl) {
- // Converts the sidebar to a menu
- const convertToMenu = () => {
- for (const child of el.children) {
- child.style.opacity = 0;
- child.style.overflow = "hidden";
- }
-
- nexttick(() => {
- const toggleContainer = window.document.createElement("div");
- toggleContainer.style.width = "100%";
- toggleContainer.classList.add("zindex-over-content");
- toggleContainer.classList.add("quarto-sidebar-toggle");
- toggleContainer.classList.add("headroom-target"); // Marks this to be managed by headeroom
- toggleContainer.id = placeholderDescriptor.id;
- toggleContainer.style.position = "fixed";
-
- const toggleIcon = window.document.createElement("i");
- toggleIcon.classList.add("quarto-sidebar-toggle-icon");
- toggleIcon.classList.add("bi");
- toggleIcon.classList.add("bi-caret-down-fill");
-
- const toggleTitle = window.document.createElement("div");
- const titleEl = window.document.body.querySelector(
- placeholderDescriptor.titleSelector
- );
- if (titleEl) {
- toggleTitle.append(
- titleEl.textContent || titleEl.innerText,
- toggleIcon
- );
- }
- toggleTitle.classList.add("zindex-over-content");
- toggleTitle.classList.add("quarto-sidebar-toggle-title");
- toggleContainer.append(toggleTitle);
-
- const toggleContents = window.document.createElement("div");
- toggleContents.classList = el.classList;
- toggleContents.classList.add("zindex-over-content");
- toggleContents.classList.add("quarto-sidebar-toggle-contents");
- for (const child of el.children) {
- if (child.id === "toc-title") {
- continue;
- }
-
- const clone = child.cloneNode(true);
- clone.style.opacity = 1;
- clone.style.display = null;
- toggleContents.append(clone);
- }
- toggleContents.style.height = "0px";
- const positionToggle = () => {
- // position the element (top left of parent, same width as parent)
- if (!elRect) {
- elRect = el.getBoundingClientRect();
- }
- toggleContainer.style.left = `${elRect.left}px`;
- toggleContainer.style.top = `${elRect.top}px`;
- toggleContainer.style.width = `${elRect.width}px`;
- };
- positionToggle();
-
- toggleContainer.append(toggleContents);
- el.parentElement.prepend(toggleContainer);
-
- // Process clicks
- let tocShowing = false;
- // Allow the caller to control whether this is dismissed
- // when it is clicked (e.g. sidebar navigation supports
- // opening and closing the nav tree, so don't dismiss on click)
- const clickEl = placeholderDescriptor.dismissOnClick
- ? toggleContainer
- : toggleTitle;
-
- const closeToggle = () => {
- if (tocShowing) {
- toggleContainer.classList.remove("expanded");
- toggleContents.style.height = "0px";
- tocShowing = false;
- }
- };
-
- // Get rid of any expanded toggle if the user scrolls
- window.document.addEventListener(
- "scroll",
- throttle(() => {
- closeToggle();
- }, 50)
- );
-
- // Handle positioning of the toggle
- window.addEventListener(
- "resize",
- throttle(() => {
- elRect = undefined;
- positionToggle();
- }, 50)
- );
-
- window.addEventListener("quarto-hrChanged", () => {
- elRect = undefined;
- });
-
- // Process the click
- clickEl.onclick = () => {
- if (!tocShowing) {
- toggleContainer.classList.add("expanded");
- toggleContents.style.height = null;
- tocShowing = true;
- } else {
- closeToggle();
- }
- };
- });
- };
-
- // Converts a sidebar from a menu back to a sidebar
- const convertToSidebar = () => {
- for (const child of el.children) {
- child.style.opacity = 1;
- child.style.overflow = null;
- }
-
- const placeholderEl = window.document.getElementById(
- placeholderDescriptor.id
- );
- if (placeholderEl) {
- placeholderEl.remove();
- }
-
- el.classList.remove("rollup");
- };
-
- if (isReaderMode()) {
- convertToMenu();
- isVisible = false;
- } else {
- // Find the top and bottom o the element that is being managed
- const elTop = el.offsetTop;
- const elBottom =
- elTop + lastChildEl.offsetTop + lastChildEl.offsetHeight;
-
- if (!isVisible) {
- // If the element is current not visible reveal if there are
- // no conflicts with overlay regions
- if (!inHiddenRegion(elTop, elBottom, hiddenRegions)) {
- convertToSidebar();
- isVisible = true;
- }
- } else {
- // If the element is visible, hide it if it conflicts with overlay regions
- // and insert a placeholder toggle (or if we're in reader mode)
- if (inHiddenRegion(elTop, elBottom, hiddenRegions)) {
- convertToMenu();
- isVisible = false;
- }
- }
- }
- }
- };
- };
-
- const tabEls = document.querySelectorAll('a[data-bs-toggle="tab"]');
- for (const tabEl of tabEls) {
- const id = tabEl.getAttribute("data-bs-target");
- if (id) {
- const columnEl = document.querySelector(
- `${id} .column-margin, .tabset-margin-content`
- );
- if (columnEl)
- tabEl.addEventListener("shown.bs.tab", function (event) {
- const el = event.srcElement;
- if (el) {
- const visibleCls = `${el.id}-margin-content`;
- // walk up until we find a parent tabset
- let panelTabsetEl = el.parentElement;
- while (panelTabsetEl) {
- if (panelTabsetEl.classList.contains("panel-tabset")) {
- break;
- }
- panelTabsetEl = panelTabsetEl.parentElement;
- }
-
- if (panelTabsetEl) {
- const prevSib = panelTabsetEl.previousElementSibling;
- if (
- prevSib &&
- prevSib.classList.contains("tabset-margin-container")
- ) {
- const childNodes = prevSib.querySelectorAll(
- ".tabset-margin-content"
- );
- for (const childEl of childNodes) {
- if (childEl.classList.contains(visibleCls)) {
- childEl.classList.remove("collapse");
- } else {
- childEl.classList.add("collapse");
- }
- }
- }
- }
- }
-
- layoutMarginEls();
- });
- }
- }
-
- // Manage the visibility of the toc and the sidebar
- const marginScrollVisibility = manageSidebarVisiblity(marginSidebarEl, {
- id: "quarto-toc-toggle",
- titleSelector: "#toc-title",
- dismissOnClick: true,
- });
- const sidebarScrollVisiblity = manageSidebarVisiblity(sidebarEl, {
- id: "quarto-sidebarnav-toggle",
- titleSelector: ".title",
- dismissOnClick: false,
- });
- let tocLeftScrollVisibility;
- if (leftTocEl) {
- tocLeftScrollVisibility = manageSidebarVisiblity(leftTocEl, {
- id: "quarto-lefttoc-toggle",
- titleSelector: "#toc-title",
- dismissOnClick: true,
- });
- }
-
- // Find the first element that uses formatting in special columns
- const conflictingEls = window.document.body.querySelectorAll(
- '[class^="column-"], [class*=" column-"], aside, [class*="margin-caption"], [class*=" margin-caption"], [class*="margin-ref"], [class*=" margin-ref"]'
- );
-
- // Filter all the possibly conflicting elements into ones
- // the do conflict on the left or ride side
- const arrConflictingEls = Array.from(conflictingEls);
- const leftSideConflictEls = arrConflictingEls.filter((el) => {
- if (el.tagName === "ASIDE") {
- return false;
- }
- return Array.from(el.classList).find((className) => {
- return (
- className !== "column-body" &&
- className.startsWith("column-") &&
- !className.endsWith("right") &&
- !className.endsWith("container") &&
- className !== "column-margin"
- );
- });
- });
- const rightSideConflictEls = arrConflictingEls.filter((el) => {
- if (el.tagName === "ASIDE") {
- return true;
- }
-
- const hasMarginCaption = Array.from(el.classList).find((className) => {
- return className == "margin-caption";
- });
- if (hasMarginCaption) {
- return true;
- }
-
- return Array.from(el.classList).find((className) => {
- return (
- className !== "column-body" &&
- !className.endsWith("container") &&
- className.startsWith("column-") &&
- !className.endsWith("left")
- );
- });
- });
-
- const kOverlapPaddingSize = 10;
- function toRegions(els) {
- return els.map((el) => {
- const boundRect = el.getBoundingClientRect();
- const top =
- boundRect.top +
- document.documentElement.scrollTop -
- kOverlapPaddingSize;
- return {
- top,
- bottom: top + el.scrollHeight + 2 * kOverlapPaddingSize,
- };
- });
- }
-
- let hasObserved = false;
- const visibleItemObserver = (els) => {
- let visibleElements = [...els];
- const intersectionObserver = new IntersectionObserver(
- (entries, _observer) => {
- entries.forEach((entry) => {
- if (entry.isIntersecting) {
- if (visibleElements.indexOf(entry.target) === -1) {
- visibleElements.push(entry.target);
- }
- } else {
- visibleElements = visibleElements.filter((visibleEntry) => {
- return visibleEntry !== entry;
- });
- }
- });
-
- if (!hasObserved) {
- hideOverlappedSidebars();
- }
- hasObserved = true;
- },
- {}
- );
- els.forEach((el) => {
- intersectionObserver.observe(el);
- });
-
- return {
- getVisibleEntries: () => {
- return visibleElements;
- },
- };
- };
-
- const rightElementObserver = visibleItemObserver(rightSideConflictEls);
- const leftElementObserver = visibleItemObserver(leftSideConflictEls);
-
- const hideOverlappedSidebars = () => {
- marginScrollVisibility(toRegions(rightElementObserver.getVisibleEntries()));
- sidebarScrollVisiblity(toRegions(leftElementObserver.getVisibleEntries()));
- if (tocLeftScrollVisibility) {
- tocLeftScrollVisibility(
- toRegions(leftElementObserver.getVisibleEntries())
- );
- }
- };
-
- window.quartoToggleReader = () => {
- // Applies a slow class (or removes it)
- // to update the transition speed
- const slowTransition = (slow) => {
- const manageTransition = (id, slow) => {
- const el = document.getElementById(id);
- if (el) {
- if (slow) {
- el.classList.add("slow");
- } else {
- el.classList.remove("slow");
- }
- }
- };
-
- manageTransition("TOC", slow);
- manageTransition("quarto-sidebar", slow);
- };
- const readerMode = !isReaderMode();
- setReaderModeValue(readerMode);
-
- // If we're entering reader mode, slow the transition
- if (readerMode) {
- slowTransition(readerMode);
- }
- highlightReaderToggle(readerMode);
- hideOverlappedSidebars();
-
- // If we're exiting reader mode, restore the non-slow transition
- if (!readerMode) {
- slowTransition(!readerMode);
- }
- };
-
- const highlightReaderToggle = (readerMode) => {
- const els = document.querySelectorAll(".quarto-reader-toggle");
- if (els) {
- els.forEach((el) => {
- if (readerMode) {
- el.classList.add("reader");
- } else {
- el.classList.remove("reader");
- }
- });
- }
- };
-
- const setReaderModeValue = (val) => {
- if (window.location.protocol !== "file:") {
- window.localStorage.setItem("quarto-reader-mode", val);
- } else {
- localReaderMode = val;
- }
- };
-
- const isReaderMode = () => {
- if (window.location.protocol !== "file:") {
- return window.localStorage.getItem("quarto-reader-mode") === "true";
- } else {
- return localReaderMode;
- }
- };
- let localReaderMode = null;
-
- const tocOpenDepthStr = tocEl?.getAttribute("data-toc-expanded");
- const tocOpenDepth = tocOpenDepthStr ? Number(tocOpenDepthStr) : 1;
-
- // Walk the TOC and collapse/expand nodes
- // Nodes are expanded if:
- // - they are top level
- // - they have children that are 'active' links
- // - they are directly below an link that is 'active'
- const walk = (el, depth) => {
- // Tick depth when we enter a UL
- if (el.tagName === "UL") {
- depth = depth + 1;
- }
-
- // It this is active link
- let isActiveNode = false;
- if (el.tagName === "A" && el.classList.contains("active")) {
- isActiveNode = true;
- }
-
- // See if there is an active child to this element
- let hasActiveChild = false;
- for (child of el.children) {
- hasActiveChild = walk(child, depth) || hasActiveChild;
- }
-
- // Process the collapse state if this is an UL
- if (el.tagName === "UL") {
- if (tocOpenDepth === -1 && depth > 1) {
- el.classList.add("collapse");
- } else if (
- depth <= tocOpenDepth ||
- hasActiveChild ||
- prevSiblingIsActiveLink(el)
- ) {
- el.classList.remove("collapse");
- } else {
- el.classList.add("collapse");
- }
-
- // untick depth when we leave a UL
- depth = depth - 1;
- }
- return hasActiveChild || isActiveNode;
- };
-
- // walk the TOC and expand / collapse any items that should be shown
-
- if (tocEl) {
- walk(tocEl, 0);
- updateActiveLink();
- }
-
- // Throttle the scroll event and walk peridiocally
- window.document.addEventListener(
- "scroll",
- throttle(() => {
- if (tocEl) {
- updateActiveLink();
- walk(tocEl, 0);
- }
- if (!isReaderMode()) {
- hideOverlappedSidebars();
- }
- }, 5)
- );
- window.addEventListener(
- "resize",
- throttle(() => {
- if (!isReaderMode()) {
- hideOverlappedSidebars();
- }
- }, 10)
- );
- hideOverlappedSidebars();
- highlightReaderToggle(isReaderMode());
-});
-
-// grouped tabsets
-window.addEventListener("pageshow", (_event) => {
- function getTabSettings() {
- const data = localStorage.getItem("quarto-persistent-tabsets-data");
- if (!data) {
- localStorage.setItem("quarto-persistent-tabsets-data", "{}");
- return {};
- }
- if (data) {
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- function findSelectorsToSyncByLanguage() {
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- });
- });
- });
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- return selectorsToSync;
- }
-
- const selectorsToSync = setupSelectorSync();
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- }
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-
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- waiting = false;
- }, wait);
- }
- };
-}
-
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- return setTimeout(func, 0);
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diff --git a/report/final_report/final_report_files/libs/quarto-html/tippy.css b/report/final_report/final_report_files/libs/quarto-html/tippy.css
deleted file mode 100644
index e6ae635..0000000
--- a/report/final_report/final_report_files/libs/quarto-html/tippy.css
+++ /dev/null
@@ -1 +0,0 @@
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\ No newline at end of file
diff --git a/report/final_report/final_report_files/libs/quarto-html/tippy.umd.min.js b/report/final_report/final_report_files/libs/quarto-html/tippy.umd.min.js
deleted file mode 100644
index ca292be..0000000
--- a/report/final_report/final_report_files/libs/quarto-html/tippy.umd.min.js
+++ /dev/null
@@ -1,2 +0,0 @@
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diff --git a/report/final_report/ground_truth.csv b/report/final_report/ground_truth.csv
deleted file mode 100644
index 79326d3..0000000
--- a/report/final_report/ground_truth.csv
+++ /dev/null
@@ -1,8 +0,0 @@
-id,title,DeepSpeech,lightfm,qlib
-2.1,Ensure Data File Loads as Expected,0.0,1.0,0.5
-3.2,Data in the Expected Format,0.0,1.0,1.0
-3.5,Check for Duplicate Records in Data,0.0,0.0,0.0
-4.2,Verify Data Split Proportion,0.0,1.0,0.5
-5.3,Ensure Model Output Shape Aligns with Expectation,0.0,0.5,1.0
-6.1,Verify Evaluation Metrics Implementation,0.0,1.0,1.0
-6.2,Evaluate Model's Performance Against Thresholds,0.0,1.0,1.0
diff --git a/report/final_report/img/checklist_sample.png b/report/final_report/img/checklist_sample.png
deleted file mode 100644
index 96bfa2d..0000000
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diff --git a/report/final_report/img/logo.png b/report/final_report/img/logo.png
deleted file mode 100644
index b0493fa..0000000
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diff --git a/report/final_report/img/proposed_system_overview.png b/report/final_report/img/proposed_system_overview.png
deleted file mode 100644
index f830376..0000000
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diff --git a/report/final_report/img/test_evaluation_report_sample.png b/report/final_report/img/test_evaluation_report_sample.png
deleted file mode 100644
index 2bc1528..0000000
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diff --git a/report/final_report/img/test_spec_sample.png b/report/final_report/img/test_spec_sample.png
deleted file mode 100644
index 4eb2baf..0000000
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diff --git a/report/final_report/score_by_repo_run_3.5-turbo.csv b/report/final_report/score_by_repo_run_3.5-turbo.csv
deleted file mode 100644
index 8b78e14..0000000
--- a/report/final_report/score_by_repo_run_3.5-turbo.csv
+++ /dev/null
@@ -1,1051 +0,0 @@
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-lightfm,3,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,4,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,5,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,6,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,7,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,8,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,9,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,10,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,11,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,12,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,13,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,14,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,15,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,16,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,17,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,18,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,19,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,20,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,21,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,22,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,23,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,24,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,25,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,26,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,27,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,28,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,29,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,30,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,1,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,2,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,3,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,4,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,5,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,6,2.1,0.5,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,7,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,8,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,9,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,10,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,11,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,12,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,13,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,14,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,15,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,16,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,17,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,18,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,19,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,20,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,21,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,22,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,23,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,24,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,25,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,26,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,27,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,28,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,29,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,30,2.1,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,1,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,2,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,3,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,4,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,5,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,6,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,7,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,8,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,9,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,10,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,11,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,12,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,13,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,14,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,15,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,16,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,17,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,18,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,19,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,20,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,21,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,22,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,23,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,24,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,25,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,26,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,27,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,28,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,29,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,30,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,1,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,2,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,3,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,4,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,5,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,6,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,7,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,8,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,9,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,10,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,11,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,12,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,13,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,14,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,15,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,16,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,17,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,18,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,19,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,20,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,21,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,22,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,23,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,24,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,25,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,26,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,27,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,28,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,29,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,30,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,1,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,2,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,3,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,4,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,5,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,6,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,7,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,8,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,9,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,10,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,11,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,12,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,13,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,14,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,15,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,16,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,17,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,18,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,19,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,20,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,21,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,22,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,23,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,24,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,25,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,26,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,27,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,28,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,29,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,30,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,1,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,2,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,3,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,4,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,5,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,6,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,7,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,8,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,9,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,10,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,11,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,12,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,13,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,14,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,15,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,16,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,17,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,18,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,19,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,20,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,21,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,22,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,23,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,24,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,25,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,26,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,27,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,28,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,29,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,30,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,1,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,2,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,3,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,4,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,5,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,6,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,7,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,8,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,9,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,10,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,11,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,12,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,13,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,14,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,15,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,16,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,17,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,18,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,19,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,20,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,21,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,22,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,23,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,24,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,25,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,26,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,27,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,28,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,29,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,30,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,1,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,2,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,3,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,4,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,5,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,6,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,7,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,8,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,9,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,10,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,11,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,12,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,13,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,14,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,15,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,16,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,17,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,18,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,19,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,20,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,21,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,22,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,23,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,24,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,25,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,26,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,27,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,28,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,29,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,30,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,1,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,2,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,3,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,4,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,5,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,6,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,7,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,8,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,9,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,10,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,11,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,12,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,13,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,14,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,15,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,16,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,17,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,18,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,19,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,20,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,21,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,22,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,23,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,24,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,25,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,26,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,27,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,28,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,29,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,30,3.2,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,1,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,2,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,3,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,4,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,5,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,6,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,7,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,8,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,9,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,10,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,11,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,12,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,13,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,14,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,15,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,16,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,17,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,18,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,19,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,20,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,21,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,22,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,23,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,24,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,25,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,26,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,27,3.2,0.5,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,28,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,29,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,30,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,1,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,2,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,3,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,4,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,5,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,6,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,7,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,8,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,9,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,10,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,11,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,12,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,13,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,14,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,15,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,16,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,17,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,18,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,19,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,20,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,21,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,22,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,23,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,24,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,25,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,26,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,27,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,28,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,29,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,30,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,1,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,2,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,3,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,4,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,5,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,6,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,7,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,8,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,9,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,10,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,11,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,12,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,13,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,14,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,15,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,16,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,17,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,18,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,19,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,20,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,21,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,22,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,23,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,24,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,25,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,26,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,27,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,28,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,29,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,30,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,1,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,2,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,3,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,4,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,5,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,6,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,7,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,8,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,9,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,10,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,11,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,12,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,13,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,14,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,15,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,16,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,17,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,18,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,19,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,20,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,21,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,22,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,23,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,24,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,25,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,26,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,27,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,28,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,29,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,30,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,1,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,2,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,3,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,4,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,5,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,6,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,7,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,8,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,9,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,10,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,11,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,12,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,13,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,14,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,15,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,16,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,17,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,18,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,19,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,20,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,21,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,22,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,23,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,24,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,25,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,26,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,27,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,28,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,29,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,30,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,1,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,2,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,3,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,4,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,5,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,6,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,7,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,8,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,9,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,10,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,11,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,12,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,13,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,14,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,15,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,16,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,17,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,18,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,19,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,20,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,21,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,22,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,23,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,24,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,25,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,26,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,27,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,28,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,29,3.5,0.5,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,30,3.5,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,1,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,2,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,3,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,4,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,5,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,6,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,7,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,8,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,9,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,10,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,11,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,12,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,13,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,14,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,15,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,16,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,17,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,18,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,19,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,20,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,21,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,22,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,23,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,24,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,25,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,26,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,27,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,28,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,29,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,30,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,1,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,2,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,3,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,4,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,5,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,6,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,7,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,8,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,9,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,10,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,11,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,12,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,13,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,14,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,15,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,16,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,17,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,18,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,19,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,20,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,21,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,22,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,23,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,24,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,25,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,26,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,27,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,28,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,29,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,30,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,1,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,2,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,3,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,4,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,5,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,6,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,7,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,8,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,9,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,10,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,11,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,12,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,13,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,14,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,15,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,16,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,17,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,18,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,19,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,20,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,21,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,22,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,23,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,24,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,25,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,26,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,27,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,28,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,29,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,30,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,1,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,2,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,3,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,4,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,5,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,6,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,7,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,8,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,9,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,10,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,11,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,12,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,13,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,14,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,15,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,16,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,17,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,18,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,19,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,20,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,21,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,22,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,23,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,24,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,25,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,26,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,27,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,28,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,29,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,30,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,1,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,2,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,3,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,4,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,5,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,6,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,7,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,8,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,9,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,10,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,11,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,12,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,13,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,14,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,15,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,16,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,17,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,18,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,19,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,20,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,21,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,22,4.2,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,23,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,24,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,25,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,26,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,27,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,28,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,29,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,30,4.2,0.5,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,1,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,2,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,3,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,4,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,5,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,6,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,7,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,8,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,9,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,10,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,11,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,12,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,13,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,14,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,15,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,16,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,17,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,18,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,19,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,20,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,21,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,22,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,23,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,24,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,25,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,26,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,27,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,28,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,29,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,30,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,1,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,2,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,3,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,4,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,5,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,6,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,7,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,8,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,9,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,10,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,11,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,12,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,13,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,14,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,15,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,16,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,17,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,18,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,19,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,20,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,21,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,22,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,23,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,24,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,25,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,26,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,27,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,28,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,29,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,30,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,1,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,2,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,3,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,4,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,5,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,6,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,7,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,8,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,9,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,10,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,11,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,12,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,13,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,14,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,15,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,16,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,17,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,18,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,19,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,20,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,21,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,22,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,23,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,24,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,25,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,26,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,27,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,28,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,29,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,30,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,1,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,2,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,3,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,4,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,5,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,6,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,7,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,8,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,9,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,10,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,11,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,12,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,13,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,14,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,15,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,16,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,17,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,18,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,19,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,20,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,21,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,22,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,23,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,24,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,25,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,26,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,27,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,28,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,29,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,30,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,1,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,2,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,3,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,4,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,5,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,6,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,7,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,8,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,9,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,10,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,11,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,12,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,13,5.3,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,14,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,15,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,16,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,17,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,18,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,19,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,20,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,21,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,22,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,23,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,24,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,25,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,26,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,27,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,28,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,29,5.3,0.5,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,30,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,1,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,2,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,3,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,4,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,5,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,6,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,7,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,8,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,9,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,10,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,11,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,12,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,13,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,14,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,15,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,16,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,17,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,18,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,19,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,20,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,21,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,22,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,23,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,24,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,25,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,26,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,27,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,28,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,29,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,30,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,1,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,2,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,3,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,4,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,5,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,6,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,7,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,8,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,9,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,10,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,11,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,12,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,13,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,14,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,15,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,16,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,17,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,18,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,19,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,20,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,21,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,22,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,23,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,24,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,25,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,26,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,27,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,28,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,29,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,30,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,1,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,2,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,3,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,4,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,5,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,6,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,7,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,8,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,9,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,10,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,11,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,12,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,13,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,14,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,15,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,16,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,17,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,18,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,19,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,20,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,21,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,22,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,23,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,24,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,25,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,26,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,27,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,28,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,29,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,30,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,1,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,2,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,3,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,4,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,5,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,6,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,7,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,8,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,9,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,10,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,11,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,12,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,13,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,14,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,15,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,16,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,17,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,18,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,19,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,20,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,21,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,22,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,23,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,24,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,25,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,26,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,27,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,28,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,29,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,30,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,1,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,2,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,3,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,4,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,5,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,6,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,7,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,8,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,9,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,10,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,11,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,12,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,13,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,14,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,15,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,16,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,17,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,18,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,19,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,20,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,21,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,22,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,23,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,24,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,25,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,26,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,27,6.1,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,28,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,29,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,30,6.1,0.5,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,1,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,2,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,3,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,4,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,5,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,6,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,7,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,8,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,9,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,10,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,11,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,12,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,13,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,14,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,15,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,16,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,17,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,18,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,19,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,20,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,21,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,22,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,23,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,24,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,25,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,26,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,27,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,28,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,29,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,30,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,1,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,2,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,3,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,4,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,5,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,6,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,7,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,8,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,9,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,10,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,11,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,12,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,13,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,14,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,15,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,16,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,17,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,18,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,19,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,20,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,21,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,22,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,23,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,24,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,25,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,26,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,27,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,28,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,29,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,30,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,1,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,2,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,3,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,4,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,5,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,6,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,7,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,8,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,9,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,10,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,11,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,12,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,13,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,14,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,15,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,16,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,17,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,18,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,19,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,20,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,21,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,22,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,23,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,24,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,25,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,26,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,27,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,28,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,29,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,30,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,1,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,2,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,3,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,4,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,5,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,6,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,7,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,8,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,9,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,10,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,11,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,12,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,13,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,14,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,15,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,16,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,17,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,18,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,19,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,20,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,21,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,22,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,23,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,24,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,25,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,26,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,27,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,28,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,29,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,30,6.2,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,1,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,2,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,3,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,4,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,5,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,6,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,7,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,8,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,9,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,10,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,11,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,12,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,13,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,14,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,15,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,16,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,17,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,18,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,19,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,20,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,21,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,22,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,23,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,24,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,25,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,26,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,27,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,28,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,29,6.2,0.5,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,30,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
diff --git a/report/final_report/score_by_repo_run_4o.csv b/report/final_report/score_by_repo_run_4o.csv
deleted file mode 100644
index 85a9e92..0000000
--- a/report/final_report/score_by_repo_run_4o.csv
+++ /dev/null
@@ -1,211 +0,0 @@
-repo,run,id,score,title,id_title
-lightfm,1,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,2,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,3,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,4,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,5,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,6,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,7,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,8,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,9,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,10,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,11,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,12,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,13,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,14,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,15,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,16,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,17,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,18,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,19,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,20,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,21,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,22,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,23,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,24,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,25,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,26,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,27,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,28,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,29,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,30,2.1,1.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,1,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,2,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,3,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,4,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,5,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,6,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,7,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,8,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,9,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,10,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,11,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,12,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,13,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,14,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,15,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,16,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,17,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,18,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,19,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,20,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,21,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,22,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,23,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,24,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,25,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,26,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,27,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,28,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,29,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,30,3.2,1.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,1,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,2,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,3,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,4,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,5,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,6,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,7,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,8,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,9,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,10,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,11,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,12,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,13,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,14,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,15,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,16,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,17,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,18,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,19,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,20,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,21,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,22,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,23,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,24,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,25,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,26,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,27,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,28,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,29,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,30,3.5,1.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,1,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,2,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,3,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,4,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,5,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,6,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,7,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,8,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,9,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,10,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,11,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,12,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,13,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,14,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,15,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,16,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,17,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,18,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,19,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,20,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,21,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,22,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,23,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,24,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,25,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,26,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,27,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,28,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,29,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,30,4.2,1.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,1,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,2,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,3,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,4,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,5,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,6,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,7,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,8,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,9,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,10,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,11,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,12,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,13,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,14,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,15,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,16,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,17,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,18,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,19,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,20,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,21,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,22,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,23,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,24,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,25,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,26,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,27,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,28,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,29,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,30,5.3,1.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,1,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,2,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,3,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,4,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,5,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,6,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,7,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,8,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,9,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,10,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,11,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,12,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,13,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,14,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,15,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,16,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,17,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,18,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,19,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,20,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,21,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,22,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,23,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,24,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,25,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,26,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,27,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,28,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,29,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,30,6.1,1.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,1,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,2,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,3,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,4,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,5,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,6,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,7,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,8,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,9,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,10,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,11,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,12,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,13,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,14,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,15,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,16,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,17,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,18,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,19,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,20,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,21,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,22,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,23,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,24,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,25,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,26,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,27,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,28,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,29,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-lightfm,30,6.2,1.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
diff --git a/report/final_report/score_count_by_repo_3.5-turbo.csv b/report/final_report/score_count_by_repo_3.5-turbo.csv
deleted file mode 100644
index c82f34d..0000000
--- a/report/final_report/score_count_by_repo_3.5-turbo.csv
+++ /dev/null
@@ -1,16 +0,0 @@
-repo,level_1,2.1,3.2,3.5,4.2,5.3,6.1,6.2
-lightfm,0.0,0.0,0.0,30.0,0.0,1.0,0.0,0.0
-lightfm,0.5,0.0,30.0,0.0,11.0,29.0,5.0,1.0
-lightfm,1.0,30.0,0.0,0.0,19.0,0.0,25.0,29.0
-magenta,0.0,29.0,30.0,30.0,30.0,30.0,30.0,30.0
-magenta,0.5,1.0,0.0,0.0,0.0,0.0,0.0,0.0
-magenta,1.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0
-mmf,0.0,0.0,0.0,14.0,4.0,0.0,0.0,0.0
-mmf,0.5,0.0,21.0,16.0,26.0,12.0,3.0,8.0
-mmf,1.0,30.0,9.0,0.0,0.0,18.0,27.0,22.0
-nanodet,0.0,0.0,15.0,30.0,30.0,0.0,12.0,28.0
-nanodet,0.5,0.0,15.0,0.0,0.0,0.0,18.0,2.0
-nanodet,1.0,30.0,0.0,0.0,0.0,30.0,0.0,0.0
-qlib,0.0,0.0,0.0,23.0,3.0,1.0,2.0,0.0
-qlib,0.5,0.0,14.0,7.0,25.0,25.0,18.0,24.0
-qlib,1.0,30.0,16.0,0.0,2.0,4.0,10.0,6.0
diff --git a/report/final_report/score_count_by_repo_4o.csv b/report/final_report/score_count_by_repo_4o.csv
deleted file mode 100644
index 48090bf..0000000
--- a/report/final_report/score_count_by_repo_4o.csv
+++ /dev/null
@@ -1,2 +0,0 @@
-repo,level_1,2.1,3.2,3.5,4.2,5.3,6.1,6.2
-lightfm,1.0,30,30,30,30,30,30,30
diff --git a/report/final_report/score_stat_by_repo_3.5-turbo.csv b/report/final_report/score_stat_by_repo_3.5-turbo.csv
deleted file mode 100644
index 672f161..0000000
--- a/report/final_report/score_stat_by_repo_3.5-turbo.csv
+++ /dev/null
@@ -1,36 +0,0 @@
-repo,id,count,mean,std,title,id_title
-lightfm,2.1,30.0,1.0,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,3.2,30.0,0.5,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,3.5,30.0,0.0,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,4.2,30.0,0.8166666666666667,0.24506625892678052,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,5.3,30.0,0.48333333333333334,0.09128709291752768,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,6.1,30.0,0.9166666666666666,0.18952451089472586,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,6.2,30.0,0.9833333333333333,0.09128709291752768,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-magenta,2.1,30.0,0.016666666666666666,0.09128709291752768,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-magenta,3.2,30.0,0.0,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-magenta,3.5,30.0,0.0,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-magenta,4.2,30.0,0.0,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-magenta,5.3,30.0,0.0,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-magenta,6.1,30.0,0.0,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-magenta,6.2,30.0,0.0,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-mmf,2.1,30.0,1.0,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-mmf,3.2,30.0,0.65,0.23304579984969956,Data in the Expected Format,3.2. Data in the Expected Format
-mmf,3.5,30.0,0.26666666666666666,0.2537081317024624,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-mmf,4.2,30.0,0.43333333333333335,0.1728729518208802,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-mmf,5.3,30.0,0.8,0.2491364395612199,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-mmf,6.1,30.0,0.95,0.15256428831468236,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-mmf,6.2,30.0,0.8666666666666667,0.22488822255440186,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-nanodet,2.1,30.0,1.0,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-nanodet,3.2,30.0,0.25,0.2542738138578039,Data in the Expected Format,3.2. Data in the Expected Format
-nanodet,3.5,30.0,0.0,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-nanodet,4.2,30.0,0.0,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-nanodet,5.3,30.0,1.0,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-nanodet,6.1,30.0,0.3,0.2491364395612199,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-nanodet,6.2,30.0,0.03333333333333333,0.1268540658512312,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
-qlib,2.1,30.0,1.0,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-qlib,3.2,30.0,0.7666666666666667,0.2537081317024624,Data in the Expected Format,3.2. Data in the Expected Format
-qlib,3.5,30.0,0.11666666666666667,0.21509153357603814,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-qlib,4.2,30.0,0.48333333333333334,0.20692049669866688,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-qlib,5.3,30.0,0.55,0.20128894996822438,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-qlib,6.1,30.0,0.6333333333333333,0.2916461404928373,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-qlib,6.2,30.0,0.6,0.20341905108624309,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
diff --git a/report/final_report/score_stat_by_repo_4o.csv b/report/final_report/score_stat_by_repo_4o.csv
deleted file mode 100644
index f5b3cad..0000000
--- a/report/final_report/score_stat_by_repo_4o.csv
+++ /dev/null
@@ -1,8 +0,0 @@
-repo,id,count,mean,std,title,id_title
-lightfm,2.1,30.0,1.0,0.0,Ensure Data File Loads as Expected,2.1. Ensure Data File Loads as Expected
-lightfm,3.2,30.0,1.0,0.0,Data in the Expected Format,3.2. Data in the Expected Format
-lightfm,3.5,30.0,1.0,0.0,Check for Duplicate Records in Data,3.5. Check for Duplicate Records in Data
-lightfm,4.2,30.0,1.0,0.0,Verify Data Split Proportion,4.2. Verify Data Split Proportion
-lightfm,5.3,30.0,1.0,0.0,Ensure Model Output Shape Aligns with Expectation,5.3. Ensure Model Output Shape Aligns with Expectation
-lightfm,6.1,30.0,1.0,0.0,Verify Evaluation Metrics Implementation,6.1. Verify Evaluation Metrics Implementation
-lightfm,6.2,30.0,1.0,0.0,Evaluate Model's Performance Against Thresholds,6.2. Evaluate Model's Performance Against Thresholds
diff --git a/report/final_report/proposal.qmd b/report/proposal.qmd
similarity index 99%
rename from report/final_report/proposal.qmd
rename to report/proposal.qmd
index b3e1a6a..606dca1 100644
--- a/report/final_report/proposal.qmd
+++ b/report/proposal.qmd
@@ -36,7 +36,7 @@ We propose to develop testing suites diagnostic tools based on Large Language Mo
Our solution offers an end-to-end application for evaluating and enhancing the robustness of users' ML systems.
- to maximize readability for both humans and machines. We hope this will encourage researchers/users to read, understand and modify the checklist items, while keeping the checklist closely integrated with other components in our system.](img/proposed_system_overview.png)
+ to maximize readability for both humans and machines. We hope this will encourage researchers/users to read, understand and modify the checklist items, while keeping the checklist closely integrated with other components in our system.](../img/proposed_system_overview.png)
One big challenge in utilizing LLMs to reliably and consistently evaluate ML systems is their tendency to generate illogical and/or factually wrong information known as hallucination [@zhang2023sirens].
diff --git a/report/proposal/_build/.doctrees/environment.pickle b/report/proposal/_build/.doctrees/environment.pickle
deleted file mode 100644
index d726aaf..0000000
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diff --git a/report/proposal/_build/.doctrees/proposal.doctree b/report/proposal/_build/.doctrees/proposal.doctree
deleted file mode 100644
index bbdae8f..0000000
Binary files a/report/proposal/_build/.doctrees/proposal.doctree and /dev/null differ
diff --git a/report/proposal/_build/html/.buildinfo b/report/proposal/_build/html/.buildinfo
deleted file mode 100644
index 60766b8..0000000
--- a/report/proposal/_build/html/.buildinfo
+++ /dev/null
@@ -1,4 +0,0 @@
-# Sphinx build info version 1
-# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
-config: 535ccf207158a009f1c328e841d4b611
-tags: 33eac41acc08762151beb8f3b7b86c8f
diff --git a/report/proposal/_build/html/_images/proposed_system_overview.png b/report/proposal/_build/html/_images/proposed_system_overview.png
deleted file mode 100644
index f830376..0000000
Binary files a/report/proposal/_build/html/_images/proposed_system_overview.png and /dev/null differ
diff --git a/report/proposal/_build/html/_sources/proposal.ipynb b/report/proposal/_build/html/_sources/proposal.ipynb
deleted file mode 100644
index 81cc25a..0000000
--- a/report/proposal/_build/html/_sources/proposal.ipynb
+++ /dev/null
@@ -1,358 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# Proposal Report - Checklists and LLM prompts for efficient and effective test creation in data analysis\n",
- "\n",
- "by John Shiu, Orix Au Yeung, Tony Shum, Yingzi Jin"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Executive Summary\n",
- "\n",
- "The rapid growth of global artificial intelligence (AI) markets presents opportunities and challenges. While AI systems have the potential to impact various aspects of human life, ensuring their software quality remains a significant concern. Current testing strategies for machine learning (ML) systems lack standardization and comprehensiveness, which poses risks to stakeholders, such as financial losses and safety hazards.\n",
- "\n",
- "Our proposal addresses this challenge by developing a manually curated checklist which contains best practices and recommendations in testing ML systems. Additionally, an end-to-end application incorporating the checklist and Large Language Model (LLM) will be developed to analyze given ML system source codes and provide test completeness evaluation, missing test recommendations, and test function specification generation. Our proposed solution will enable users to systematically assess, improve, and include tests tailored to their ML systems through a combination of human expertise codified within the checklist and parametric memory from LLMs.\n",
- "\n",
- "In the following weeks, we will develop and refine our product through a swift and efficient iterative development approach, with the aim to deliver a rigorously tested and fully-documented system to our partners by the end of the project."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Introduction\n",
- "\n",
- "### Problem Statement\n",
- "\n",
- "The global artificial intelligence (AI) market is growing exponentially {cite}`grand2021artificial`, driven by its ability to autonomously make complex decisions impacting various aspects of human life, including financial transactions, autonomous transportation, and medical diagnosis. \n",
- "\n",
- "However, ensuring the software quality of these systems remains a significant challenge {cite}`openja2023studying`. Specifically, the lack of a standardized and comprehensive approach to testing machine learning (ML) systems introduces potential risks to stakeholders. For example, inadequate quality assurance in ML systems can lead to severe consequences, such as substantial financial losses {cite}`Asheeta2019` and safety hazards. \n",
- "\n",
- "Therefore, defining and promoting an industry standard and establishing robust testing methodologies for these systems is crucial. But how?\n",
- "\n",
- "### Our Objectives\n",
- "\n",
- "We propose to develop testing suites diagnostic tools based on Large Language Models (LLMs) and curate a checklist to facilitate comprehensive testing of ML systems with flexibility. Our goal is to enhance applied ML software's trustworthiness, quality, and reproducibility across both the industry and academia {cite}`kapoor2022leakage`."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "editable": true,
- "slideshow": {
- "slide_type": ""
- },
- "tags": []
- },
- "source": [
- "## Our Product\n",
- "\n",
- "Our solution offers an end-to-end application for evaluating and enhancing the robustness of users' ML systems."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "```{figure} ../../img/proposed_system_overview.png\n",
- "---\n",
- "name: overview-diagram\n",
- "---\n",
- "Main components and workflow of the proposed system. The checklist would be written in [YAML](https://yaml.org/) to maximize readability for both humans and machines. We hope this will encourage researchers/users to read, understand and modify the checklist items, while keeping the checklist closely integrated with other components in our system.\n",
- "```"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "editable": true,
- "slideshow": {
- "slide_type": ""
- },
- "tags": []
- },
- "source": [
- "One big challenge in utilizing LLMs to reliably and consistently evaluate ML systems is their tendency to generate illogical and/or factually wrong information known as hallucination {cite}`zhang2023sirens`.\n",
- "\n",
- "To combat this, the proposed system will incorporate a checklist ([Fig. 1](overview-diagram)) which would be curated manually and incorporate best practices in software testing and identified areas to be tested inside ML pipeline from human experts and past research.\n",
- "\n",
- "This checklist will be our basis in evaluating the effectiveness and completeness of existing tests in a given codebase. Relevant information will be injected into a prompt template, which the LLMs would then be prompted to follow the checklist **exactly** during the evaluation.\n",
- "\n",
- "Here is an example of how the proposed checklist would be structured:"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "editable": true,
- "slideshow": {
- "slide_type": ""
- },
- "tags": [
- "hide-cell"
- ]
- },
- "source": [
- "```{toggle}\n",
- "```yaml\n",
- "%YAML 1.2\n",
- "---\n",
- "Title: Checklist for Tests in Machine Learning Projects\n",
- "Description: >\n",
- " This is a comprehensive checklist for evaluating the data and ML pipeline\n",
- " based on identified testing strategies from experts in the field.\n",
- "Test Areas:\n",
- " - Topic: General\n",
- " Description: >\n",
- " The following items describe best practices for all tests to be\n",
- " written.\n",
- " Tests:\n",
- " - Title: Write Descriptive Test Names\n",
- " Requirement: >\n",
- " Every test function should have a clear, descriptive name\n",
- " Explanation: >\n",
- " If out tests are narrow and sufficiently descriptive, the test\n",
- " name itself may give us enough information to start debugging.\n",
- " This also helps us to identify what is being tested inside the\n",
- " function.\n",
- " References:\n",
- " - https://testing.googleblog.com/2014/10/testing-on-toilet-writing-descriptive.html\n",
- " - https://testing.googleblog.com/2024/05/test-failures-should-be-actionable.html\n",
- "\n",
- " - Title: Keep Tests Focused\n",
- " Requirement: >\n",
- " Each test should only test one scenario, meaning that in each\n",
- " test we should only use one set of mock data.\n",
- " Explanation: >\n",
- " If we test multiple scenarios in a single test, it is hard to\n",
- " idenitfy exactly what went wrong. Keeping one scenario in a\n",
- " single test helps us to isolate problematic scenarios.\n",
- " References:\n",
- " - https://testing.googleblog.com/2018/06/testing-on-toilet-keep-tests-focused.html\n",
- "\n",
- " - Title: Prefer Narrow Assertions in Unit Tests\n",
- " Requirement: >\n",
- " The assertions inside the tests should be narrow, meaning that\n",
- " when checking a complex object, any unrelated behavior should\n",
- " not be tested - Assert on only relevant behaviors.\n",
- " Explanation: >\n",
- " If we have overly wide assertions (such as depending on every\n",
- " field of a complex output proto), the test may fail for many\n",
- " unimportant reasons. False positives are the opposite of\n",
- " actionable.\n",
- " References:\n",
- " - https://testing.googleblog.com/2024/04/prefer-narrow-assertions-in-unit-tests.html\n",
- "\n",
- " - Title: Keep Cause and Effect Clear\n",
- " Requirement: >\n",
- " The modifications and the assertions of an object's behavior\n",
- " in a single test should not be far away from each other.\n",
- " Explanation: >\n",
- " Refrain from using large global test data structures shared\n",
- " across multiple unit tests. This will allow for clear\n",
- " identification of each test's setup and the cause and effect.\n",
- " References:\n",
- " - https://testing.googleblog.com/2017/01/testing-on-toilet-keep-cause-and-effect.html\n",
- "\n",
- " - Topic: Data Presence\n",
- " Description: >\n",
- " The following items describe tests that need to be done for testing\n",
- " the presence of data.\n",
- " Tests:\n",
- " - Title: ...\n",
- " Requirement: ...\n",
- " Explanation: ...\n",
- " References:\n",
- " - ...\n",
- "\n",
- " - Topic: Data Quality\n",
- " Description: >\n",
- " The following items describe tests that need to be done for testing\n",
- " the quality of data.\n",
- " Tests:\n",
- " - Title: ...\n",
- " Requirement: ...\n",
- " Explanation: ...\n",
- " References:\n",
- " - ...\n",
- "\n",
- " - Topic: Data Ingestion\n",
- " Description: >\n",
- " The following items describe tests that need to be done for testing\n",
- " if the data is ingestion properly.\n",
- " Tests:\n",
- " - Title: ...\n",
- " Requirement: ...\n",
- " Explanation: ...\n",
- " References:\n",
- " - ...\n",
- "\n",
- " - Topic: Model Fitting\n",
- " Description: >\n",
- " The following items describe tests that need to be done for testing\n",
- " the model fitting process.\n",
- " Tests:\n",
- " - Title: ...\n",
- " Requirement: ...\n",
- " Explanation: ...\n",
- " References:\n",
- " - ...\n",
- "\n",
- " - Topic: Model Evaluation\n",
- " Description: >\n",
- " The following items describe tests that need to be done for testing\n",
- " the model evaluation process.\n",
- " Tests:\n",
- " - Title: ...\n",
- " Requirement: ...\n",
- " Explanation: ...\n",
- " References:\n",
- " - ...\n",
- "\n",
- " - Topic: Artifact Testing\n",
- " Description: >\n",
- " The following items describe tests that need to be done for testing\n",
- " any artifacts that are created from the project.\n",
- " Tests:\n",
- " - Title: ...\n",
- " Requirement: ...\n",
- " Explanation: ...\n",
- " References:\n",
- " - ...\n",
- "```"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "jp-MarkdownHeadingCollapsed": true
- },
- "source": [
- "### Evaluation Artifacts\n",
- "\n",
- "The end goal of our product is to generate the following three artifacts in relation to the evaluation of a given ML system codebase:\n",
- "\n",
- "1. **ML Test Completeness Score**: The application utilizes LLMs and our curated checklist to analyze users' ML system source code and returns a comprehensive score of the system's test quality.\n",
- " \n",
- "2. **Missing Test Recommendations**: The application evaluates the adequacy of existing tests for users' ML code and offers recommendations for additional, system-specific tests to enhance testing effectiveness.\n",
- " \n",
- "3. **Test Function Specification Generation**: Users select desired test recommendations and prompt the application to generate test function specifications and references. These are reliable starting points for users to enrich the ML system test suites.\n",
- "\n",
- "### Success Metrics\n",
- "\n",
- "Our product's success will depend on mutation testing of the test functions developed based on our application-generated specifications. The evaluation metric is the success rate of detecting the perturbations introduced to the ML project code.\n",
- "\n",
- "Our partners and stakeholders expect a significant improvement in the testing suites of their ML systems post-application usage. As a result, the testing suites will demonstrate high accuracy in detecting faults, ensuring consistency and high quality of ML projects during updates.\n",
- "\n",
- "### Data Science Approach\n",
- "\n",
- "#### Data: GitHub Repositories\n",
- "\n",
- "In this project, GitHub repositories are our data. \n",
- "\n",
- "To develop our testing checklist, we will collect 11 repositories studied in {cite}`openja2023studying`. Additionally, we will collect 377 repositories identified in the study by {cite}`wattanakriengkrai2022github` for our product development.\n",
- "\n",
- "For each repository, we are interested in the metadata and the ML modeling- and test-related source code. The metadata will be retrieved using the GitHub API, while the source code will be downloaded and filtered using our custom scripts. To ensure the relevance of the repositories to our study, we will apply the following criteria for filtering:\n",
- " 1. Repositories that are related to ML systems.\n",
- " 2. Repositories that include test cases.\n",
- " 3. Repositories whose development is written in the Python programming language.\n",
- "\n",
- "#### Methodologies\n",
- "\n",
- "Our data science methodology incorporates human expert evaluation and prompt engineering to assess and enhance the test quality of ML systems.\n",
- "\n",
- "- Human Expert Evaluation\n",
- "\n",
- " We will begin by formulating a comprehensive checklist for evaluating the data and ML pipeline based on the established testing strategies outlined in {cite}`openja2023studying` as the foundational framework. Based on the formulated checklist, our team will manually assess the test quality within each repository data. We will refine the checklist to ensure applicability and robustness when testing general ML systems.\n",
- "\n",
- "- Prompt Engineering\n",
- "\n",
- " We will engineer the prompts for LLM to incorporate with the ML system code and the curated checklist and to serve various purposes across the three-stage process:\n",
- " \n",
- " 1. Prompts to examine test cases within the ML system source codes and deliver test completeness scores.\n",
- " 2. Prompts to compare and contrast the existing tests and the checklist and deliver recommendations.\n",
- " 3. Prompts to generate system-specific test specifications based on user-selected testing recommendations {cite}`schafer2023empirical`\n",
- "\n",
- "#### Iterative Development Approach\n",
- "\n",
- "We begin by setting up a foundational framework based on the selected GitHub repositories and research on ML testing. The framework might not cover all ML systems or testing practices. Therefore, we adopt an iterative development approach by establishing an open and scalable framework to address these considerations. The application will be continuously refined based on contributors' insights.\n",
- "\n",
- "Users are encouraged to interpret the generated artifacts with a grain of salt and recognize the evolving nature of ML system testing practices."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Delivery Timeline\n",
- "\n",
- "Our team follows the timeline below for our product delivery and prioritizes close communication with our partners to ensure that our developments align closely with their expectations.\n",
- "\n",
- "| Timeline | Milestones |\n",
- "|---|---|\n",
- "| Week 1 (Apr 29 - May 3) | Prepare and Present Initial Proposal. Scrape repository data. |\n",
- "| Week 2 - 3 (May 6 - 17) | Deliver Proposal. Deliver Draft of ML Pipeline Test Checklist. Develop Minimum Viable Product (Test Completeness Score, Missing Test Recommendation) |\n",
- "| Week 4 - 5 (May 20 - May 31) | Update Test Checklist. Develop Test Function Specification Generator. |\n",
- "| Week 6 (Jun 3 - Jun 7) | Update Test Checklist. Wrap Up Product. |\n",
- "| Week 7 (Jun 10 - Jun 14) | Finalize Test Checklist. Perform Product System Test. Present Final Product. Prepare Final Product Report. |\n",
- "| Week 8 (Jun 17 - Jun 21) | Deliver Final Product. Deliver Final Product Report. |\n"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## References"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "```{bibliography}\n",
- "```"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": []
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "Python 3 (ipykernel)",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
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- },
- "widgets": {
- "application/vnd.jupyter.widget-state+json": {
- "state": {},
- "version_major": 2,
- "version_minor": 0
- }
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
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deleted file mode 100644
index 36b38cf..0000000
--- a/report/proposal/_build/html/_sphinx_design_static/design-tabs.js
+++ /dev/null
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diff --git a/report/proposal/_build/html/_static/_sphinx_javascript_frameworks_compat.js b/report/proposal/_build/html/_static/_sphinx_javascript_frameworks_compat.js
deleted file mode 100644
index 8549469..0000000
--- a/report/proposal/_build/html/_static/_sphinx_javascript_frameworks_compat.js
+++ /dev/null
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diff --git a/report/proposal/_build/html/_static/basic.css b/report/proposal/_build/html/_static/basic.css
deleted file mode 100644
index 5685b52..0000000
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-ol.simple > li:not(:first-child) > p,
-ul.simple > li:not(:first-child) > p {
- margin-top: 0;
-}
-
-ol.simple p,
-ul.simple p {
- margin-bottom: 0;
-}
-
-/* Docutils 0.17 and older (footnotes & citations) */
-dl.footnote > dt,
-dl.citation > dt {
- float: left;
- margin-right: 0.5em;
-}
-
-dl.footnote > dd,
-dl.citation > dd {
- margin-bottom: 0em;
-}
-
-dl.footnote > dd:after,
-dl.citation > dd:after {
- content: "";
- clear: both;
-}
-
-/* Docutils 0.18+ (footnotes & citations) */
-aside.footnote > span,
-div.citation > span {
- float: left;
-}
-aside.footnote > span:last-of-type,
-div.citation > span:last-of-type {
- padding-right: 0.5em;
-}
-aside.footnote > p {
- margin-left: 2em;
-}
-div.citation > p {
- margin-left: 4em;
-}
-aside.footnote > p:last-of-type,
-div.citation > p:last-of-type {
- margin-bottom: 0em;
-}
-aside.footnote > p:last-of-type:after,
-div.citation > p:last-of-type:after {
- content: "";
- clear: both;
-}
-
-/* Footnotes & citations ends */
-
-dl.field-list {
- display: grid;
- grid-template-columns: fit-content(30%) auto;
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-dl.field-list > dt {
- font-weight: bold;
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- padding-left: 0.5em;
- padding-right: 5px;
-}
-
-dl.field-list > dt:after {
- content: ":";
-}
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-dl.field-list > dd {
- padding-left: 0.5em;
- margin-top: 0em;
- margin-left: 0em;
- margin-bottom: 0em;
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-dl {
- margin-bottom: 15px;
-}
-
-dd > :first-child {
- margin-top: 0px;
-}
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-dd ul, dd table {
- margin-bottom: 10px;
-}
-
-dd {
- margin-top: 3px;
- margin-bottom: 10px;
- margin-left: 30px;
-}
-
-dl > dd:last-child,
-dl > dd:last-child > :last-child {
- margin-bottom: 0;
-}
-
-dt:target, span.highlighted {
- background-color: #fbe54e;
-}
-
-rect.highlighted {
- fill: #fbe54e;
-}
-
-dl.glossary dt {
- font-weight: bold;
- font-size: 1.1em;
-}
-
-.versionmodified {
- font-style: italic;
-}
-
-.system-message {
- background-color: #fda;
- padding: 5px;
- border: 3px solid red;
-}
-
-.footnote:target {
- background-color: #ffa;
-}
-
-.line-block {
- display: block;
- margin-top: 1em;
- margin-bottom: 1em;
-}
-
-.line-block .line-block {
- margin-top: 0;
- margin-bottom: 0;
- margin-left: 1.5em;
-}
-
-.guilabel, .menuselection {
- font-family: sans-serif;
-}
-
-.accelerator {
- text-decoration: underline;
-}
-
-.classifier {
- font-style: oblique;
-}
-
-.classifier:before {
- font-style: normal;
- margin: 0 0.5em;
- content: ":";
- display: inline-block;
-}
-
-abbr, acronym {
- border-bottom: dotted 1px;
- cursor: help;
-}
-
-/* -- code displays --------------------------------------------------------- */
-
-pre {
- overflow: auto;
- overflow-y: hidden; /* fixes display issues on Chrome browsers */
-}
-
-pre, div[class*="highlight-"] {
- clear: both;
-}
-
-span.pre {
- -moz-hyphens: none;
- -ms-hyphens: none;
- -webkit-hyphens: none;
- hyphens: none;
- white-space: nowrap;
-}
-
-div[class*="highlight-"] {
- margin: 1em 0;
-}
-
-td.linenos pre {
- border: 0;
- background-color: transparent;
- color: #aaa;
-}
-
-table.highlighttable {
- display: block;
-}
-
-table.highlighttable tbody {
- display: block;
-}
-
-table.highlighttable tr {
- display: flex;
-}
-
-table.highlighttable td {
- margin: 0;
- padding: 0;
-}
-
-table.highlighttable td.linenos {
- padding-right: 0.5em;
-}
-
-table.highlighttable td.code {
- flex: 1;
- overflow: hidden;
-}
-
-.highlight .hll {
- display: block;
-}
-
-div.highlight pre,
-table.highlighttable pre {
- margin: 0;
-}
-
-div.code-block-caption + div {
- margin-top: 0;
-}
-
-div.code-block-caption {
- margin-top: 1em;
- padding: 2px 5px;
- font-size: small;
-}
-
-div.code-block-caption code {
- background-color: transparent;
-}
-
-table.highlighttable td.linenos,
-span.linenos,
-div.highlight span.gp { /* gp: Generic.Prompt */
- user-select: none;
- -webkit-user-select: text; /* Safari fallback only */
- -webkit-user-select: none; /* Chrome/Safari */
- -moz-user-select: none; /* Firefox */
- -ms-user-select: none; /* IE10+ */
-}
-
-div.code-block-caption span.caption-number {
- padding: 0.1em 0.3em;
- font-style: italic;
-}
-
-div.code-block-caption span.caption-text {
-}
-
-div.literal-block-wrapper {
- margin: 1em 0;
-}
-
-code.xref, a code {
- background-color: transparent;
- font-weight: bold;
-}
-
-h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
- background-color: transparent;
-}
-
-.viewcode-link {
- float: right;
-}
-
-.viewcode-back {
- float: right;
- font-family: sans-serif;
-}
-
-div.viewcode-block:target {
- margin: -1px -10px;
- padding: 0 10px;
-}
-
-/* -- math display ---------------------------------------------------------- */
-
-img.math {
- vertical-align: middle;
-}
-
-div.body div.math p {
- text-align: center;
-}
-
-span.eqno {
- float: right;
-}
-
-span.eqno a.headerlink {
- position: absolute;
- z-index: 1;
-}
-
-div.math:hover a.headerlink {
- visibility: visible;
-}
-
-/* -- printout stylesheet --------------------------------------------------- */
-
-@media print {
- div.document,
- div.documentwrapper,
- div.bodywrapper {
- margin: 0 !important;
- width: 100%;
- }
-
- div.sphinxsidebar,
- div.related,
- div.footer,
- #top-link {
- display: none;
- }
-}
\ No newline at end of file
diff --git a/report/proposal/_build/html/_static/check-solid.svg b/report/proposal/_build/html/_static/check-solid.svg
deleted file mode 100644
index 92fad4b..0000000
--- a/report/proposal/_build/html/_static/check-solid.svg
+++ /dev/null
@@ -1,4 +0,0 @@
-
diff --git a/report/proposal/_build/html/_static/clipboard.min.js b/report/proposal/_build/html/_static/clipboard.min.js
deleted file mode 100644
index 54b3c46..0000000
--- a/report/proposal/_build/html/_static/clipboard.min.js
+++ /dev/null
@@ -1,7 +0,0 @@
-/*!
- * clipboard.js v2.0.8
- * https://clipboardjs.com/
- *
- * Licensed MIT © Zeno Rocha
- */
-!function(t,e){"object"==typeof exports&&"object"==typeof module?module.exports=e():"function"==typeof define&&define.amd?define([],e):"object"==typeof exports?exports.ClipboardJS=e():t.ClipboardJS=e()}(this,function(){return n={686:function(t,e,n){"use strict";n.d(e,{default:function(){return o}});var e=n(279),i=n.n(e),e=n(370),u=n.n(e),e=n(817),c=n.n(e);function a(t){try{return document.execCommand(t)}catch(t){return}}var f=function(t){t=c()(t);return a("cut"),t};var l=function(t){var e,n,o,r=1
-
-
-
-
diff --git a/report/proposal/_build/html/_static/copybutton.css b/report/proposal/_build/html/_static/copybutton.css
deleted file mode 100644
index f1916ec..0000000
--- a/report/proposal/_build/html/_static/copybutton.css
+++ /dev/null
@@ -1,94 +0,0 @@
-/* Copy buttons */
-button.copybtn {
- position: absolute;
- display: flex;
- top: .3em;
- right: .3em;
- width: 1.7em;
- height: 1.7em;
- opacity: 0;
- transition: opacity 0.3s, border .3s, background-color .3s;
- user-select: none;
- padding: 0;
- border: none;
- outline: none;
- border-radius: 0.4em;
- /* The colors that GitHub uses */
- border: #1b1f2426 1px solid;
- background-color: #f6f8fa;
- color: #57606a;
-}
-
-button.copybtn.success {
- border-color: #22863a;
- color: #22863a;
-}
-
-button.copybtn svg {
- stroke: currentColor;
- width: 1.5em;
- height: 1.5em;
- padding: 0.1em;
-}
-
-div.highlight {
- position: relative;
-}
-
-/* Show the copybutton */
-.highlight:hover button.copybtn, button.copybtn.success {
- opacity: 1;
-}
-
-.highlight button.copybtn:hover {
- background-color: rgb(235, 235, 235);
-}
-
-.highlight button.copybtn:active {
- background-color: rgb(187, 187, 187);
-}
-
-/**
- * A minimal CSS-only tooltip copied from:
- * https://codepen.io/mildrenben/pen/rVBrpK
- *
- * To use, write HTML like the following:
- *
- * Short
- */
- .o-tooltip--left {
- position: relative;
- }
-
- .o-tooltip--left:after {
- opacity: 0;
- visibility: hidden;
- position: absolute;
- content: attr(data-tooltip);
- padding: .2em;
- font-size: .8em;
- left: -.2em;
- background: grey;
- color: white;
- white-space: nowrap;
- z-index: 2;
- border-radius: 2px;
- transform: translateX(-102%) translateY(0);
- transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
-}
-
-.o-tooltip--left:hover:after {
- display: block;
- opacity: 1;
- visibility: visible;
- transform: translateX(-100%) translateY(0);
- transition: opacity 0.2s cubic-bezier(0.64, 0.09, 0.08, 1), transform 0.2s cubic-bezier(0.64, 0.09, 0.08, 1);
- transition-delay: .5s;
-}
-
-/* By default the copy button shouldn't show up when printing a page */
-@media print {
- button.copybtn {
- display: none;
- }
-}
diff --git a/report/proposal/_build/html/_static/copybutton.js b/report/proposal/_build/html/_static/copybutton.js
deleted file mode 100644
index 2ea7ff3..0000000
--- a/report/proposal/_build/html/_static/copybutton.js
+++ /dev/null
@@ -1,248 +0,0 @@
-// Localization support
-const messages = {
- 'en': {
- 'copy': 'Copy',
- 'copy_to_clipboard': 'Copy to clipboard',
- 'copy_success': 'Copied!',
- 'copy_failure': 'Failed to copy',
- },
- 'es' : {
- 'copy': 'Copiar',
- 'copy_to_clipboard': 'Copiar al portapapeles',
- 'copy_success': '¡Copiado!',
- 'copy_failure': 'Error al copiar',
- },
- 'de' : {
- 'copy': 'Kopieren',
- 'copy_to_clipboard': 'In die Zwischenablage kopieren',
- 'copy_success': 'Kopiert!',
- 'copy_failure': 'Fehler beim Kopieren',
- },
- 'fr' : {
- 'copy': 'Copier',
- 'copy_to_clipboard': 'Copier dans le presse-papier',
- 'copy_success': 'Copié !',
- 'copy_failure': 'Échec de la copie',
- },
- 'ru': {
- 'copy': 'Скопировать',
- 'copy_to_clipboard': 'Скопировать в буфер',
- 'copy_success': 'Скопировано!',
- 'copy_failure': 'Не удалось скопировать',
- },
- 'zh-CN': {
- 'copy': '复制',
- 'copy_to_clipboard': '复制到剪贴板',
- 'copy_success': '复制成功!',
- 'copy_failure': '复制失败',
- },
- 'it' : {
- 'copy': 'Copiare',
- 'copy_to_clipboard': 'Copiato negli appunti',
- 'copy_success': 'Copiato!',
- 'copy_failure': 'Errore durante la copia',
- }
-}
-
-let locale = 'en'
-if( document.documentElement.lang !== undefined
- && messages[document.documentElement.lang] !== undefined ) {
- locale = document.documentElement.lang
-}
-
-let doc_url_root = DOCUMENTATION_OPTIONS.URL_ROOT;
-if (doc_url_root == '#') {
- doc_url_root = '';
-}
-
-/**
- * SVG files for our copy buttons
- */
-let iconCheck = ``
-
-// If the user specified their own SVG use that, otherwise use the default
-let iconCopy = ``;
-if (!iconCopy) {
- iconCopy = ``
-}
-
-/**
- * Set up copy/paste for code blocks
- */
-
-const runWhenDOMLoaded = cb => {
- if (document.readyState != 'loading') {
- cb()
- } else if (document.addEventListener) {
- document.addEventListener('DOMContentLoaded', cb)
- } else {
- document.attachEvent('onreadystatechange', function() {
- if (document.readyState == 'complete') cb()
- })
- }
-}
-
-const codeCellId = index => `codecell${index}`
-
-// Clears selected text since ClipboardJS will select the text when copying
-const clearSelection = () => {
- if (window.getSelection) {
- window.getSelection().removeAllRanges()
- } else if (document.selection) {
- document.selection.empty()
- }
-}
-
-// Changes tooltip text for a moment, then changes it back
-// We want the timeout of our `success` class to be a bit shorter than the
-// tooltip and icon change, so that we can hide the icon before changing back.
-var timeoutIcon = 2000;
-var timeoutSuccessClass = 1500;
-
-const temporarilyChangeTooltip = (el, oldText, newText) => {
- el.setAttribute('data-tooltip', newText)
- el.classList.add('success')
- // Remove success a little bit sooner than we change the tooltip
- // So that we can use CSS to hide the copybutton first
- setTimeout(() => el.classList.remove('success'), timeoutSuccessClass)
- setTimeout(() => el.setAttribute('data-tooltip', oldText), timeoutIcon)
-}
-
-// Changes the copy button icon for two seconds, then changes it back
-const temporarilyChangeIcon = (el) => {
- el.innerHTML = iconCheck;
- setTimeout(() => {el.innerHTML = iconCopy}, timeoutIcon)
-}
-
-const addCopyButtonToCodeCells = () => {
- // If ClipboardJS hasn't loaded, wait a bit and try again. This
- // happens because we load ClipboardJS asynchronously.
- if (window.ClipboardJS === undefined) {
- setTimeout(addCopyButtonToCodeCells, 250)
- return
- }
-
- // Add copybuttons to all of our code cells
- const COPYBUTTON_SELECTOR = 'div.highlight pre';
- const codeCells = document.querySelectorAll(COPYBUTTON_SELECTOR)
- codeCells.forEach((codeCell, index) => {
- const id = codeCellId(index)
- codeCell.setAttribute('id', id)
-
- const clipboardButton = id =>
- ``
- codeCell.insertAdjacentHTML('afterend', clipboardButton(id))
- })
-
-function escapeRegExp(string) {
- return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
-}
-
-/**
- * Removes excluded text from a Node.
- *
- * @param {Node} target Node to filter.
- * @param {string} exclude CSS selector of nodes to exclude.
- * @returns {DOMString} Text from `target` with text removed.
- */
-function filterText(target, exclude) {
- const clone = target.cloneNode(true); // clone as to not modify the live DOM
- if (exclude) {
- // remove excluded nodes
- clone.querySelectorAll(exclude).forEach(node => node.remove());
- }
- return clone.innerText;
-}
-
-// Callback when a copy button is clicked. Will be passed the node that was clicked
-// should then grab the text and replace pieces of text that shouldn't be used in output
-function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
- var regexp;
- var match;
-
- // Do we check for line continuation characters and "HERE-documents"?
- var useLineCont = !!lineContinuationChar
- var useHereDoc = !!hereDocDelim
-
- // create regexp to capture prompt and remaining line
- if (isRegexp) {
- regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
- } else {
- regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
- }
-
- const outputLines = [];
- var promptFound = false;
- var gotLineCont = false;
- var gotHereDoc = false;
- const lineGotPrompt = [];
- for (const line of textContent.split('\n')) {
- match = line.match(regexp)
- if (match || gotLineCont || gotHereDoc) {
- promptFound = regexp.test(line)
- lineGotPrompt.push(promptFound)
- if (removePrompts && promptFound) {
- outputLines.push(match[2])
- } else {
- outputLines.push(line)
- }
- gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
- if (line.includes(hereDocDelim) & useHereDoc)
- gotHereDoc = !gotHereDoc
- } else if (!onlyCopyPromptLines) {
- outputLines.push(line)
- } else if (copyEmptyLines && line.trim() === '') {
- outputLines.push(line)
- }
- }
-
- // If no lines with the prompt were found then just use original lines
- if (lineGotPrompt.some(v => v === true)) {
- textContent = outputLines.join('\n');
- }
-
- // Remove a trailing newline to avoid auto-running when pasting
- if (textContent.endsWith("\n")) {
- textContent = textContent.slice(0, -1)
- }
- return textContent
-}
-
-
-var copyTargetText = (trigger) => {
- var target = document.querySelector(trigger.attributes['data-clipboard-target'].value);
-
- // get filtered text
- let exclude = '.linenos';
-
- let text = filterText(target, exclude);
- return formatCopyText(text, '', false, true, true, true, '', '')
-}
-
- // Initialize with a callback so we can modify the text before copy
- const clipboard = new ClipboardJS('.copybtn', {text: copyTargetText})
-
- // Update UI with error/success messages
- clipboard.on('success', event => {
- clearSelection()
- temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_success'])
- temporarilyChangeIcon(event.trigger)
- })
-
- clipboard.on('error', event => {
- temporarilyChangeTooltip(event.trigger, messages[locale]['copy'], messages[locale]['copy_failure'])
- })
-}
-
-runWhenDOMLoaded(addCopyButtonToCodeCells)
\ No newline at end of file
diff --git a/report/proposal/_build/html/_static/copybutton_funcs.js b/report/proposal/_build/html/_static/copybutton_funcs.js
deleted file mode 100644
index dbe1aaa..0000000
--- a/report/proposal/_build/html/_static/copybutton_funcs.js
+++ /dev/null
@@ -1,73 +0,0 @@
-function escapeRegExp(string) {
- return string.replace(/[.*+?^${}()|[\]\\]/g, '\\$&'); // $& means the whole matched string
-}
-
-/**
- * Removes excluded text from a Node.
- *
- * @param {Node} target Node to filter.
- * @param {string} exclude CSS selector of nodes to exclude.
- * @returns {DOMString} Text from `target` with text removed.
- */
-export function filterText(target, exclude) {
- const clone = target.cloneNode(true); // clone as to not modify the live DOM
- if (exclude) {
- // remove excluded nodes
- clone.querySelectorAll(exclude).forEach(node => node.remove());
- }
- return clone.innerText;
-}
-
-// Callback when a copy button is clicked. Will be passed the node that was clicked
-// should then grab the text and replace pieces of text that shouldn't be used in output
-export function formatCopyText(textContent, copybuttonPromptText, isRegexp = false, onlyCopyPromptLines = true, removePrompts = true, copyEmptyLines = true, lineContinuationChar = "", hereDocDelim = "") {
- var regexp;
- var match;
-
- // Do we check for line continuation characters and "HERE-documents"?
- var useLineCont = !!lineContinuationChar
- var useHereDoc = !!hereDocDelim
-
- // create regexp to capture prompt and remaining line
- if (isRegexp) {
- regexp = new RegExp('^(' + copybuttonPromptText + ')(.*)')
- } else {
- regexp = new RegExp('^(' + escapeRegExp(copybuttonPromptText) + ')(.*)')
- }
-
- const outputLines = [];
- var promptFound = false;
- var gotLineCont = false;
- var gotHereDoc = false;
- const lineGotPrompt = [];
- for (const line of textContent.split('\n')) {
- match = line.match(regexp)
- if (match || gotLineCont || gotHereDoc) {
- promptFound = regexp.test(line)
- lineGotPrompt.push(promptFound)
- if (removePrompts && promptFound) {
- outputLines.push(match[2])
- } else {
- outputLines.push(line)
- }
- gotLineCont = line.endsWith(lineContinuationChar) & useLineCont
- if (line.includes(hereDocDelim) & useHereDoc)
- gotHereDoc = !gotHereDoc
- } else if (!onlyCopyPromptLines) {
- outputLines.push(line)
- } else if (copyEmptyLines && line.trim() === '') {
- outputLines.push(line)
- }
- }
-
- // If no lines with the prompt were found then just use original lines
- if (lineGotPrompt.some(v => v === true)) {
- textContent = outputLines.join('\n');
- }
-
- // Remove a trailing newline to avoid auto-running when pasting
- if (textContent.endsWith("\n")) {
- textContent = textContent.slice(0, -1)
- }
- return textContent
-}
diff --git a/report/proposal/_build/html/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css b/report/proposal/_build/html/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css
deleted file mode 100644
index 3225661..0000000
--- a/report/proposal/_build/html/_static/design-style.4045f2051d55cab465a707391d5b2007.min.css
+++ /dev/null
@@ -1 +0,0 @@
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diff --git a/report/proposal/_build/html/_static/design-tabs.js b/report/proposal/_build/html/_static/design-tabs.js
deleted file mode 100644
index 36b38cf..0000000
--- a/report/proposal/_build/html/_static/design-tabs.js
+++ /dev/null
@@ -1,27 +0,0 @@
-var sd_labels_by_text = {};
-
-function ready() {
- const li = document.getElementsByClassName("sd-tab-label");
- for (const label of li) {
- syncId = label.getAttribute("data-sync-id");
- if (syncId) {
- label.onclick = onLabelClick;
- if (!sd_labels_by_text[syncId]) {
- sd_labels_by_text[syncId] = [];
- }
- sd_labels_by_text[syncId].push(label);
- }
- }
-}
-
-function onLabelClick() {
- // Activate other inputs with the same sync id.
- syncId = this.getAttribute("data-sync-id");
- for (label of sd_labels_by_text[syncId]) {
- if (label === this) continue;
- label.previousElementSibling.checked = true;
- }
- window.localStorage.setItem("sphinx-design-last-tab", syncId);
-}
-
-document.addEventListener("DOMContentLoaded", ready, false);
diff --git a/report/proposal/_build/html/_static/doctools.js b/report/proposal/_build/html/_static/doctools.js
deleted file mode 100644
index c3db08d..0000000
--- a/report/proposal/_build/html/_static/doctools.js
+++ /dev/null
@@ -1,264 +0,0 @@
-/*
- * doctools.js
- * ~~~~~~~~~~~
- *
- * Base JavaScript utilities for all Sphinx HTML documentation.
- *
- * :copyright: Copyright 2007-2022 by the Sphinx team, see AUTHORS.
- * :license: BSD, see LICENSE for details.
- *
- */
-"use strict";
-
-const _ready = (callback) => {
- if (document.readyState !== "loading") {
- callback();
- } else {
- document.addEventListener("DOMContentLoaded", callback);
- }
-};
-
-/**
- * highlight a given string on a node by wrapping it in
- * span elements with the given class name.
- */
-const _highlight = (node, addItems, text, className) => {
- if (node.nodeType === Node.TEXT_NODE) {
- const val = node.nodeValue;
- const parent = node.parentNode;
- const pos = val.toLowerCase().indexOf(text);
- if (
- pos >= 0 &&
- !parent.classList.contains(className) &&
- !parent.classList.contains("nohighlight")
- ) {
- let span;
-
- const closestNode = parent.closest("body, svg, foreignObject");
- const isInSVG = closestNode && closestNode.matches("svg");
- if (isInSVG) {
- span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
- } else {
- span = document.createElement("span");
- span.classList.add(className);
- }
-
- span.appendChild(document.createTextNode(val.substr(pos, text.length)));
- parent.insertBefore(
- span,
- parent.insertBefore(
- document.createTextNode(val.substr(pos + text.length)),
- node.nextSibling
- )
- );
- node.nodeValue = val.substr(0, pos);
-
- if (isInSVG) {
- const rect = document.createElementNS(
- "http://www.w3.org/2000/svg",
- "rect"
- );
- const bbox = parent.getBBox();
- rect.x.baseVal.value = bbox.x;
- rect.y.baseVal.value = bbox.y;
- rect.width.baseVal.value = bbox.width;
- rect.height.baseVal.value = bbox.height;
- rect.setAttribute("class", className);
- addItems.push({ parent: parent, target: rect });
- }
- }
- } else if (node.matches && !node.matches("button, select, textarea")) {
- node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
- }
-};
-const _highlightText = (thisNode, text, className) => {
- let addItems = [];
- _highlight(thisNode, addItems, text, className);
- addItems.forEach((obj) =>
- obj.parent.insertAdjacentElement("beforebegin", obj.target)
- );
-};
-
-/**
- * Small JavaScript module for the documentation.
- */
-const Documentation = {
- init: () => {
- Documentation.highlightSearchWords();
- Documentation.initDomainIndexTable();
- Documentation.initOnKeyListeners();
- },
-
- /**
- * i18n support
- */
- TRANSLATIONS: {},
- PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
- LOCALE: "unknown",
-
- // gettext and ngettext don't access this so that the functions
- // can safely bound to a different name (_ = Documentation.gettext)
- gettext: (string) => {
- const translated = Documentation.TRANSLATIONS[string];
- switch (typeof translated) {
- case "undefined":
- return string; // no translation
- case "string":
- return translated; // translation exists
- default:
- return translated[0]; // (singular, plural) translation tuple exists
- }
- },
-
- ngettext: (singular, plural, n) => {
- const translated = Documentation.TRANSLATIONS[singular];
- if (typeof translated !== "undefined")
- return translated[Documentation.PLURAL_EXPR(n)];
- return n === 1 ? singular : plural;
- },
-
- addTranslations: (catalog) => {
- Object.assign(Documentation.TRANSLATIONS, catalog.messages);
- Documentation.PLURAL_EXPR = new Function(
- "n",
- `return (${catalog.plural_expr})`
- );
- Documentation.LOCALE = catalog.locale;
- },
-
- /**
- * highlight the search words provided in the url in the text
- */
- highlightSearchWords: () => {
- const highlight =
- new URLSearchParams(window.location.search).get("highlight") || "";
- const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
- if (terms.length === 0) return; // nothing to do
-
- // There should never be more than one element matching "div.body"
- const divBody = document.querySelectorAll("div.body");
- const body = divBody.length ? divBody[0] : document.querySelector("body");
- window.setTimeout(() => {
- terms.forEach((term) => _highlightText(body, term, "highlighted"));
- }, 10);
-
- const searchBox = document.getElementById("searchbox");
- if (searchBox === null) return;
- searchBox.appendChild(
- document
- .createRange()
- .createContextualFragment(
- '' +
- '' +
- Documentation.gettext("Hide Search Matches") +
- "
"
- )
- );
- },
-
- /**
- * helper function to hide the search marks again
- */
- hideSearchWords: () => {
- document
- .querySelectorAll("#searchbox .highlight-link")
- .forEach((el) => el.remove());
- document
- .querySelectorAll("span.highlighted")
- .forEach((el) => el.classList.remove("highlighted"));
- const url = new URL(window.location);
- url.searchParams.delete("highlight");
- window.history.replaceState({}, "", url);
- },
-
- /**
- * helper function to focus on search bar
- */
- focusSearchBar: () => {
- document.querySelectorAll("input[name=q]")[0]?.focus();
- },
-
- /**
- * Initialise the domain index toggle buttons
- */
- initDomainIndexTable: () => {
- const toggler = (el) => {
- const idNumber = el.id.substr(7);
- const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
- if (el.src.substr(-9) === "minus.png") {
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- toggledRows.forEach((el) => (el.style.display = "none"));
- } else {
- el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
- toggledRows.forEach((el) => (el.style.display = ""));
- }
- };
-
- const togglerElements = document.querySelectorAll("img.toggler");
- togglerElements.forEach((el) =>
- el.addEventListener("click", (event) => toggler(event.currentTarget))
- );
- togglerElements.forEach((el) => (el.style.display = ""));
- if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
- },
-
- initOnKeyListeners: () => {
- // only install a listener if it is really needed
- if (
- !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
- !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
- )
- return;
-
- const blacklistedElements = new Set([
- "TEXTAREA",
- "INPUT",
- "SELECT",
- "BUTTON",
- ]);
- document.addEventListener("keydown", (event) => {
- if (blacklistedElements.has(document.activeElement.tagName)) return; // bail for input elements
- if (event.altKey || event.ctrlKey || event.metaKey) return; // bail with special keys
-
- if (!event.shiftKey) {
- switch (event.key) {
- case "ArrowLeft":
- if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
-
- const prevLink = document.querySelector('link[rel="prev"]');
- if (prevLink && prevLink.href) {
- window.location.href = prevLink.href;
- event.preventDefault();
- }
- break;
- case "ArrowRight":
- if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
-
- const nextLink = document.querySelector('link[rel="next"]');
- if (nextLink && nextLink.href) {
- window.location.href = nextLink.href;
- event.preventDefault();
- }
- break;
- case "Escape":
- if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
- Documentation.hideSearchWords();
- event.preventDefault();
- }
- }
-
- // some keyboard layouts may need Shift to get /
- switch (event.key) {
- case "/":
- if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
- Documentation.focusSearchBar();
- event.preventDefault();
- }
- });
- },
-};
-
-// quick alias for translations
-const _ = Documentation.gettext;
-
-_ready(Documentation.init);
diff --git a/report/proposal/_build/html/_static/documentation_options.js b/report/proposal/_build/html/_static/documentation_options.js
deleted file mode 100644
index 5ed5061..0000000
--- a/report/proposal/_build/html/_static/documentation_options.js
+++ /dev/null
@@ -1,14 +0,0 @@
-var DOCUMENTATION_OPTIONS = {
- URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
- VERSION: '',
- LANGUAGE: 'en',
- COLLAPSE_INDEX: false,
- BUILDER: 'singlehtml',
- FILE_SUFFIX: '.html',
- LINK_SUFFIX: '.html',
- HAS_SOURCE: true,
- SOURCELINK_SUFFIX: '',
- NAVIGATION_WITH_KEYS: false,
- SHOW_SEARCH_SUMMARY: true,
- ENABLE_SEARCH_SHORTCUTS: false,
-};
\ No newline at end of file
diff --git a/report/proposal/_build/html/_static/file.png b/report/proposal/_build/html/_static/file.png
deleted file mode 100644
index a858a41..0000000
Binary files a/report/proposal/_build/html/_static/file.png and /dev/null differ
diff --git a/report/proposal/_build/html/_static/images/logo_binder.svg b/report/proposal/_build/html/_static/images/logo_binder.svg
deleted file mode 100644
index 45fecf7..0000000
--- a/report/proposal/_build/html/_static/images/logo_binder.svg
+++ /dev/null
@@ -1,19 +0,0 @@
-
-
-
diff --git a/report/proposal/_build/html/_static/images/logo_colab.png b/report/proposal/_build/html/_static/images/logo_colab.png
deleted file mode 100644
index b7560ec..0000000
Binary files a/report/proposal/_build/html/_static/images/logo_colab.png and /dev/null differ
diff --git a/report/proposal/_build/html/_static/images/logo_deepnote.svg b/report/proposal/_build/html/_static/images/logo_deepnote.svg
deleted file mode 100644
index fa77ebf..0000000
--- a/report/proposal/_build/html/_static/images/logo_deepnote.svg
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/report/proposal/_build/html/_static/images/logo_jupyterhub.svg b/report/proposal/_build/html/_static/images/logo_jupyterhub.svg
deleted file mode 100644
index 60cfe9f..0000000
--- a/report/proposal/_build/html/_static/images/logo_jupyterhub.svg
+++ /dev/null
@@ -1 +0,0 @@
-
diff --git a/report/proposal/_build/html/_static/jquery-3.6.0.js b/report/proposal/_build/html/_static/jquery-3.6.0.js
deleted file mode 100644
index fc6c299..0000000
--- a/report/proposal/_build/html/_static/jquery-3.6.0.js
+++ /dev/null
@@ -1,10881 +0,0 @@
-/*!
- * jQuery JavaScript Library v3.6.0
- * https://jquery.com/
- *
- * Includes Sizzle.js
- * https://sizzlejs.com/
- *
- * Copyright OpenJS Foundation and other contributors
- * Released under the MIT license
- * https://jquery.org/license
- *
- * Date: 2021-03-02T17:08Z
- */
-( function( global, factory ) {
-
- "use strict";
-
- if ( typeof module === "object" && typeof module.exports === "object" ) {
-
- // For CommonJS and CommonJS-like environments where a proper `window`
- // is present, execute the factory and get jQuery.
- // For environments that do not have a `window` with a `document`
- // (such as Node.js), expose a factory as module.exports.
- // This accentuates the need for the creation of a real `window`.
- // e.g. var jQuery = require("jquery")(window);
- // See ticket #14549 for more info.
- module.exports = global.document ?
- factory( global, true ) :
- function( w ) {
- if ( !w.document ) {
- throw new Error( "jQuery requires a window with a document" );
- }
- return factory( w );
- };
- } else {
- factory( global );
- }
-
-// Pass this if window is not defined yet
-} )( typeof window !== "undefined" ? window : this, function( window, noGlobal ) {
-
-// Edge <= 12 - 13+, Firefox <=18 - 45+, IE 10 - 11, Safari 5.1 - 9+, iOS 6 - 9.1
-// throw exceptions when non-strict code (e.g., ASP.NET 4.5) accesses strict mode
-// arguments.callee.caller (trac-13335). But as of jQuery 3.0 (2016), strict mode should be common
-// enough that all such attempts are guarded in a try block.
-"use strict";
-
-var arr = [];
-
-var getProto = Object.getPrototypeOf;
-
-var slice = arr.slice;
-
-var flat = arr.flat ? function( array ) {
- return arr.flat.call( array );
-} : function( array ) {
- return arr.concat.apply( [], array );
-};
-
-
-var push = arr.push;
-
-var indexOf = arr.indexOf;
-
-var class2type = {};
-
-var toString = class2type.toString;
-
-var hasOwn = class2type.hasOwnProperty;
-
-var fnToString = hasOwn.toString;
-
-var ObjectFunctionString = fnToString.call( Object );
-
-var support = {};
-
-var isFunction = function isFunction( obj ) {
-
- // Support: Chrome <=57, Firefox <=52
- // In some browsers, typeof returns "function" for HTML