Feat/module2 tensor

.github/workflows/classroom.yml

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+name: Autograding Tests
+'on':
+- workflow_dispatch
+- repository_dispatch
+permissions:
+  checks: write
+  actions: read
+  contents: read
+jobs:
+  run-autograding-tests:
+    runs-on: ubuntu-latest
+    if: github.actor != 'github-classroom[bot]'
+    steps:
+    - name: Checkout code
+      uses: actions/checkout@v4
+    - name: Setup
+      id: setup
+      uses: classroom-resources/autograding-command-grader@v1
+      with:
+        test-name: Setup
+        setup-command: sudo -H pip3 install -qr requirements.txt; sudo -H pip3 install
+          flake8==5.0.4
+        command: flake8 --ignore "N801, E203, E266, E501, W503, F812, E741, N803,
+          N802, N806" minitorch/ tests/ project/; mypy minitorch/*
+        timeout: 10
+        max-score: 10
+    - name: Task 1.1
+      id: task-1-1
+      uses: classroom-resources/autograding-command-grader@v1
+      with:
+        test-name: Task 1.1
+        setup-command: sudo -H pip3 install -qr requirements.txt
+        command: pytest -m task1_1
+        timeout: 10
+        max-score: 10
+    - name: Task 1.2
+      id: task-1-2
+      uses: classroom-resources/autograding-command-grader@v1
+      with:
+        test-name: Task 1.2
+        setup-command: sudo -H pip3 install -qr requirements.txt
+        command: pytest -m task1_2
+        timeout: 10
+    - name: task 1.3
+      id: task-1-3
+      uses: classroom-resources/autograding-command-grader@v1
+      with:
+        test-name: task 1.3
+        setup-command: sudo -H pip3 install -qr requirements.txt
+        command: pytest -m task1_3
+        timeout: 10
+    - name: Task 1.4
+      id: task-1-4
+      uses: classroom-resources/autograding-command-grader@v1
+      with:
+        test-name: Task 1.4
+        setup-command: sudo -H pip3 install -qr requirements.txt
+        command: pytest -m task1_4
+        timeout: 10
+    - name: Autograding Reporter
+      uses: classroom-resources/autograding-grading-reporter@v1
+      env:
+        SETUP_RESULTS: "${{steps.setup.outputs.result}}"
+        TASK-1-1_RESULTS: "${{steps.task-1-1.outputs.result}}"
+        TASK-1-2_RESULTS: "${{steps.task-1-2.outputs.result}}"
+        TASK-1-3_RESULTS: "${{steps.task-1-3.outputs.result}}"
+        TASK-1-4_RESULTS: "${{steps.task-1-4.outputs.result}}"
+      with:
+        runners: setup,task-1-1,task-1-2,task-1-3,task-1-4

.github/workflows/minitorch.yml

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+name: CI (Module 1)
+
+on:
+  push:
+  pull_request:
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    strategy:
+      matrix:
+        python-version: ["3.10"]
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: pip
+
+      - name: Install dependencies
+        run: |
+          sudo apt-get update
+          sudo apt-get install -y graphviz
+          python -m pip install --upgrade pip
+          pip install flake8 pytest pep8-naming
+          if [ -f requirements.txt ]; then pip install -r requirements.txt; fi
+          # на всякий случай — установить сам пакет
+          pip install -e .
+
+      - name: Lint with flake8
+        run: |
+          # stop the build if there are Python syntax errors or undefined names
+          flake8 --ignore "N801,E203,E266,E501,W503,W504,F812,F401,F841,E741,N803,N802,N806,E128,E302" minitorch/ tests/ project/
+
+      - name: Test with pytest (Module 1)
+        run: |
+          echo "Module 1"
+          pytest tests -q -x -m task1_1
+          pytest tests -q -x -m task1_2
+          pytest tests -q -x -m task1_3
+          pytest tests -q -x -m task1_4