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UofT-DSI | DSI | - Assignment 2 #383

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d9d28a6
Assignment
zaf-tech Jun 29, 2026
f416669
Merge pull request #2 from zaf-tech/assignment-1
zaf-tech Jul 15, 2026
1862ad1
assignment-2
zaf-tech Jul 17, 2026
c962f37
assignment-2
zaf-tech Jul 17, 2026
258a5b7
assignment-2
zaf-tech Jul 17, 2026
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19 changes: 13 additions & 6 deletions .gitignore
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Original file line number Diff line number Diff line change
@@ -1,6 +1,13 @@
.DS_Store
.vscode/
plants.txt
uv.lock
python-env
.venv
# Environment files
05_src/.env
05_src/.secrets

# Python cache
__pycache__/
*.py[cod]

**/utils

**/.deepeval_telemetry.txt

uv.lock
1,167 changes: 1,104 additions & 63 deletions 02_activities/assignments/assignment_1.ipynb
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163 changes: 142 additions & 21 deletions 02_activities/assignments/assignment_2.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,11 +72,83 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 1,
"metadata": {
"id": "n0m48JsS-nMC"
"execution": {
"iopub.execute_input": "2026-07-17T21:58:34.906665Z",
"iopub.status.busy": "2026-07-17T21:58:34.905701Z",
"iopub.status.idle": "2026-07-17T21:58:34.915162Z",
"shell.execute_reply": "2026-07-17T21:58:34.914652Z"
}
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
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"0,1,0,0,4,3,3,5,5,4,5,8,7,10,13,3,7,13,15,18,8,15,15,16,11,14,12,4,10,10,4,3,4,5,5,3,3,2,2,1\n",
"0,1,0,0,3,4,2,7,8,5,2,8,11,5,5,8,14,11,6,11,9,16,18,6,12,5,4,3,5,7,8,3,5,4,5,5,4,0,1,1\n",
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"0,0,1,1,1,5,1,5,2,2,4,10,4,8,14,6,15,6,12,15,15,13,7,17,4,5,11,4,8,7,9,4,5,3,2,5,4,3,2,1\n",
"0,0,2,2,3,4,6,3,7,6,4,5,8,4,7,7,6,11,12,19,20,18,9,5,4,7,14,8,4,3,7,7,8,3,5,4,1,3,1,0\n",
"0,0,0,1,4,4,6,3,8,6,4,10,12,3,3,6,8,7,17,16,14,15,17,4,14,13,4,4,12,11,6,9,5,5,2,5,2,1,0,1\n",
"0,1,1,0,3,2,4,6,8,6,2,3,11,3,14,14,12,8,8,16,13,7,6,9,15,7,6,4,10,8,10,4,2,6,5,5,2,3,2,1\n",
"0,0,2,3,3,4,5,3,6,7,10,5,10,13,14,3,8,10,9,9,19,15,15,6,8,8,11,5,5,7,3,6,6,4,5,2,2,3,0,0\n",
"0,1,2,2,2,3,6,6,6,7,6,3,11,12,13,15,15,10,14,11,11,8,6,12,10,5,12,7,7,11,5,8,5,2,5,5,2,0,2,1\n",
"0,0,2,1,3,5,6,7,5,8,9,3,12,10,12,4,12,9,13,10,10,6,10,11,4,15,13,7,3,4,2,9,7,2,4,2,1,2,1,1\n",
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"0,0,0,3,1,3,6,4,3,4,8,3,4,8,3,11,5,7,10,5,15,9,16,17,16,3,8,9,8,3,3,9,5,1,6,5,4,2,2,0\n",
"0,1,2,2,2,5,5,1,4,6,3,6,5,9,6,7,4,7,16,7,16,13,9,16,12,6,7,9,10,3,6,4,5,4,6,3,4,3,2,1\n",
"0,1,1,2,3,1,5,1,2,2,5,7,6,6,5,10,6,7,17,13,15,16,17,14,4,4,10,10,10,11,9,9,5,4,4,2,1,0,1,0\n",
"0,1,0,3,2,4,1,1,5,9,10,7,12,10,9,15,12,13,13,6,19,9,10,6,13,5,13,6,7,2,5,5,2,1,1,1,1,3,0,1\n",
"0,1,1,3,1,1,5,5,3,7,2,2,3,12,4,6,8,15,16,16,15,4,14,5,13,10,7,10,6,3,2,3,6,3,3,5,4,3,2,1\n",
"0,0,0,2,2,1,3,4,5,5,6,5,5,12,13,5,7,5,11,15,18,7,9,10,14,12,11,9,10,3,2,9,6,2,2,5,3,0,0,1\n",
"0,0,1,3,3,1,2,1,8,9,2,8,10,3,8,6,10,13,11,17,19,6,4,11,6,12,7,5,5,4,4,8,2,6,6,4,2,2,0,0\n",
"0,1,1,3,4,5,2,1,3,7,9,6,10,5,8,15,11,12,15,6,12,16,6,4,14,3,12,9,6,11,5,8,5,5,6,1,2,1,2,0\n",
"0,0,1,3,1,4,3,6,7,8,5,7,11,3,6,11,6,10,6,19,18,14,6,10,7,9,8,5,8,3,10,2,5,1,5,4,2,1,0,1\n",
"0,1,1,3,3,4,4,6,3,4,9,9,7,6,8,15,12,15,6,11,6,18,5,14,15,12,9,8,3,6,10,6,8,7,2,5,4,3,1,1\n",
"0,1,2,2,4,3,1,4,8,9,5,10,10,3,4,6,7,11,16,6,14,9,11,10,10,7,10,8,8,4,5,8,4,4,5,2,4,1,1,0\n",
"0,0,2,3,4,5,4,6,2,9,7,4,9,10,8,11,16,12,15,17,19,10,18,13,15,11,8,4,7,11,6,7,6,5,1,3,1,0,0,0\n",
"0,1,1,3,1,4,6,2,8,2,10,3,11,9,13,15,5,15,6,10,10,5,14,15,12,7,4,5,11,4,6,9,5,6,1,1,2,1,2,1\n",
"0,0,1,3,2,5,1,2,7,6,6,3,12,9,4,14,4,6,12,9,12,7,11,7,16,8,13,6,7,6,10,7,6,3,1,5,4,3,0,0\n",
"0,0,1,2,3,4,5,7,5,4,10,5,12,12,5,4,7,9,18,16,16,10,15,15,10,4,3,7,5,9,4,6,2,4,1,4,2,2,2,1\n",
"0,1,2,1,1,3,5,3,6,3,10,10,11,10,13,10,13,6,6,14,5,4,5,5,9,4,12,7,7,4,7,9,3,3,6,3,4,1,2,0\n",
"0,1,2,2,3,5,2,4,5,6,8,3,5,4,3,15,15,12,16,7,20,15,12,8,9,6,12,5,8,3,8,5,4,1,3,2,1,3,1,0\n",
"0,0,0,2,4,4,5,3,3,3,10,4,4,4,14,11,15,13,10,14,11,17,9,11,11,7,10,12,10,10,10,8,7,5,2,2,4,1,2,1\n",
"0,0,2,1,1,4,4,7,2,9,4,10,12,7,6,6,11,12,9,15,15,6,6,13,5,12,9,6,4,7,7,6,5,4,1,4,2,2,2,1\n",
"0,1,2,1,1,4,5,4,4,5,9,7,10,3,13,13,8,9,17,16,16,15,12,13,5,12,10,9,11,9,4,5,5,2,2,5,1,0,0,1\n",
"0,0,1,3,2,3,6,4,5,7,2,4,11,11,3,8,8,16,5,13,16,5,8,8,6,9,10,10,9,3,3,5,3,5,4,5,3,3,0,1\n",
"0,1,1,2,2,5,1,7,4,2,5,5,4,6,6,4,16,11,14,16,14,14,8,17,4,14,13,7,6,3,7,7,5,6,3,4,2,2,1,1\n",
"0,1,1,1,4,1,6,4,6,3,6,5,6,4,14,13,13,9,12,19,9,10,15,10,9,10,10,7,5,6,8,6,6,4,3,5,2,1,1,1\n",
"0,0,0,1,4,5,6,3,8,7,9,10,8,6,5,12,15,5,10,5,8,13,18,17,14,9,13,4,10,11,10,8,8,6,5,5,2,0,2,0\n",
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]
}
],
"source": [
"all_paths = [\n",
" \"../../05_src/data/assignment_2_data/inflammation_01.csv\",\n",
Expand All @@ -95,8 +167,11 @@
"\n",
"with open(all_paths[0], 'r') as f:\n",
" # YOUR CODE HERE: Use the readline() or readlines() method to read the .csv file into a variable\n",
" \n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection"
" lines = f.readlines()\n",
"\n",
" # YOUR CODE HERE: Iterate through the variable using a for loop and print each row for inspection\n",
" for line in lines:\n",
" print(line.strip())"
]
},
{
Expand Down Expand Up @@ -130,9 +205,14 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 2,
"metadata": {
"id": "82-bk4CBB1w4"
"execution": {
"iopub.execute_input": "2026-07-17T21:58:34.935588Z",
"iopub.status.busy": "2026-07-17T21:58:34.935588Z",
"iopub.status.idle": "2026-07-17T21:58:35.160130Z",
"shell.execute_reply": "2026-07-17T21:58:35.160130Z"
}
},
"outputs": [],
"source": [
Expand All @@ -145,12 +225,15 @@
" # Implement the specific operation based on the 'operation' argument\n",
" if operation == 'mean':\n",
" # YOUR CODE HERE: Calculate the mean (average) number of flare-ups for each patient\n",
" summary_values = np.mean(data, axis=ax)\n",
"\n",
" elif operation == 'max':\n",
" # YOUR CODE HERE: Calculate the maximum number of flare-ups experienced by each patient\n",
" summary_values = np.max(data, axis=ax)\n",
"\n",
" elif operation == 'min':\n",
" # YOUR CODE HERE: Calculate the minimum number of flare-ups experienced by each patient\n",
" summary_values = np.min(data, axis=ax)\n",
"\n",
" else:\n",
" # If the operation is not one of the expected values, raise an error\n",
Expand All @@ -161,11 +244,24 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 3,
"metadata": {
"id": "3TYo0-1SDLrd"
"execution": {
"iopub.execute_input": "2026-07-17T21:58:35.160130Z",
"iopub.status.busy": "2026-07-17T21:58:35.160130Z",
"iopub.status.idle": "2026-07-17T21:58:35.165132Z",
"shell.execute_reply": "2026-07-17T21:58:35.165132Z"
}
},
"outputs": [],
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"60\n"
]
}
],
"source": [
"# Test it out on the data file we read in and make sure the size is what we expect i.e., 60\n",
"# Your output for the first file should be 60\n",
Expand Down Expand Up @@ -228,9 +324,14 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 4,
"metadata": {
"id": "_svDiRkdIwiT"
"execution": {
"iopub.execute_input": "2026-07-17T21:58:35.166812Z",
"iopub.status.busy": "2026-07-17T21:58:35.166812Z",
"iopub.status.idle": "2026-07-17T21:58:35.170306Z",
"shell.execute_reply": "2026-07-17T21:58:35.170306Z"
}
},
"outputs": [],
"source": [
Expand All @@ -251,25 +352,45 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 5,
"metadata": {
"id": "LEYPM5v4JT0i"
"execution": {
"iopub.execute_input": "2026-07-17T21:58:35.172313Z",
"iopub.status.busy": "2026-07-17T21:58:35.172313Z",
"iopub.status.idle": "2026-07-17T21:58:35.175211Z",
"shell.execute_reply": "2026-07-17T21:58:35.175211Z"
}
},
"outputs": [],
"source": [
"# Define your function `detect_problems` here\n",
"\n",
"def detect_problems(file_path):\n",
" #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
"\n",
" return"
" #YOUR CODE HERE: Use patient_summary() to get the means and check_zeros() to check for zeros in the means\n",
" means = patient_summary(file_path, 'mean')\n",
" return check_zeros(means)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"execution_count": 6,
"metadata": {
"execution": {
"iopub.execute_input": "2026-07-17T21:58:35.177227Z",
"iopub.status.busy": "2026-07-17T21:58:35.177227Z",
"iopub.status.idle": "2026-07-17T21:58:35.180759Z",
"shell.execute_reply": "2026-07-17T21:58:35.180247Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"False\n"
]
}
],
"source": [
"# Test out your code here\n",
"# Your output for the first file should be False\n",
Expand Down Expand Up @@ -327,7 +448,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.8"
"version": "3.11.15"
}
},
"nbformat": 4,
Expand Down
55 changes: 55 additions & 0 deletions 02_activities/assignments/pyproject.toml
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -0,0 +1,55 @@
[project]
name = "deploying-ai-env"
version = "0.1.0"
description = "Package dependencies for the course Deploying AI taught at the Data Sciences Institute of the University of Toronto."
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"agentops>=0.4.21",
"autogen>=0.9.9",
"chromadb>=1.1.0",
"deepeval>=3.3.9",
"dspy>=3.0.3",
"fastapi>=0.118.0",
"gradio>=5.49.0",
"gradio-tools>=0.0.9",
"ipykernel>=6.30.1",
"ipywidgets>=8.1.7",
"langchain[openai]>=1.0",
"langchain-community>=0.3.30",
"langchain-openai>=0.3.34",
"langgraph>=0.6.8",
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"openai>=2.0.0",
"openai-gradio>=0.0.4",
"py-trees>=2.3.0",
"pydantic>=2.11.9",
"python-dotenv",
"scikit-learn>=1.7.2",
"streamlit>=1.50.0",
"unstructured>=0.18.15",
"uvicorn>=0.37.0",
"requests>=2.32.5",
"jq",
"sentence-transformers>=5.1.1",
"tqdm>=4.67.1",
"hf-xet>=1.1.10",
"adjusttext>=1.3.0",
"seaborn>=0.13.2",
"sqlalchemy>=2.0.43",
"psycopg2>=2.9.11; platform_system!='Darwin'",
"psycopg2-binary==2.9.11; platform_system=='Darwin'",
"fastmcp>=2.12.5",
"pypdf>=6.1.1",
"numexpr>=2.14.1",
"langchain-tavily>=0.2.12",
"ngrok>=1.4.0",
"langchain-mcp-adapters>=0.1.12",
"langgraph-api>=0.4.48",
"langsmith>=0.4.31",
"langchain-text-splitters>=1.1.0",
"torch==2.2.2; platform_system=='Darwin' and platform_machine=='x86_64'",
"torch==2.8.0; platform_system=='Darwin' and platform_machine=='arm64'",
"torch==2.8.0; platform_system!='Darwin'",
"deepagents>=0.6.10",
]
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[project]
name = "python-env"
name = "deploying-ai-env"
version = "0.1.0"
description = "Package dependencies for the course Deploying AI taught at the Data Sciences Institute of the University of Toronto."
readme = "README.md"
requires-python = ">=3.11"
dependencies = [
"agentops>=0.4.21",
"autogen>=0.9.9",
"chromadb>=1.1.0",
"deepeval>=3.3.9",
"dspy>=3.0.3",
"fastapi>=0.118.0",
"gradio>=5.49.0",
"gradio-tools>=0.0.9",
"ipykernel>=6.30.1",
"kaleido>=1.1.0",
"ipywidgets>=8.1.7",
"langchain[openai]>=1.0",
"langchain-community>=0.3.30",
"langchain-openai>=0.3.34",
"langgraph>=0.6.8",
"matplotlib>=3.10.6",
"numpy>=2.3.3",
"pandas>=2.3.2",
"plotly>=6.3.0",
"openai>=2.0.0",
"openai-gradio>=0.0.4",
"py-trees>=2.3.0",
"pydantic>=2.11.9",
"python-dotenv",
"scikit-learn>=1.7.2",
"streamlit>=1.50.0",
"unstructured>=0.18.15",
"uvicorn>=0.37.0",
"requests>=2.32.5",
"jq",
"sentence-transformers>=5.1.1",
"tqdm>=4.67.1",
"hf-xet>=1.1.10",
"adjusttext>=1.3.0",
"seaborn>=0.13.2",
"sqlalchemy>=2.0.43",
"psycopg2>=2.9.11; platform_system!='Darwin'",
"psycopg2-binary==2.9.11; platform_system=='Darwin'",
"fastmcp>=2.12.5",
"pypdf>=6.1.1",
"numexpr>=2.14.1",
"langchain-tavily>=0.2.12",
"ngrok>=1.4.0",
"langchain-mcp-adapters>=0.1.12",
"langgraph-api>=0.4.48",
"langsmith>=0.4.31",
"langchain-text-splitters>=1.1.0",
"torch==2.2.2; platform_system=='Darwin' and platform_machine=='x86_64'",
"torch==2.8.0; platform_system=='Darwin' and platform_machine=='arm64'",
"torch==2.8.0; platform_system!='Darwin'",
"deepagents>=0.6.10",
]