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refactor: improve performance and update docs
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.amazonq/plans/cli-implementation.md

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@@ -440,11 +440,21 @@ json5 = "^0.9.0" # For parsing tags.json5 with comments
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5. ✅ Comprehensive testing with 6 test cases covering all scenarios
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6. ✅ Error handling for invalid tags and empty results
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### Phase 6: Testing & Documentation
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1. Add comprehensive CLI tests
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2. Update documentation
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3. Test PyPI packaging workflow
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### Phase 6: Testing & Documentation ✅ COMPLETED
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1. ✅ Add comprehensive CLI tests
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- Created `tests/cli/test_main.py` with 10 tests for CLI entry point
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- Created `tests/cli/test_problem_finder.py` with 12 tests for utilities
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- Enhanced existing test files with parametrized tests
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- All 62 CLI tests pass
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2. ✅ Update documentation
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- Created `docs/cli-usage.md` with comprehensive CLI guide
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- Updated `README.md` to prominently feature CLI installation and usage
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- Added examples for all CLI commands and options
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3. ✅ Test CLI functionality
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- Verified all commands work correctly
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- Tested bulk operations and error handling
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- Confirmed success/failure counting accuracy
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## Implementation Notes
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## Success Criteria
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- [ ] `pip install leetcode-py-sdk` installs CLI globally
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- [ ] `lcpy gen -n 1` generates Two Sum in default `leetcode/` directory
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- [ ] `lcpy gen -n 1 -o my-problems` generates Two Sum in `my-problems/` directory
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- [ ] `lcpy gen -s two-sum` works identically
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- [ ] `lcpy gen -t grind-75` generates all 75 problems with tag resolution
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- [ ] `lcpy scrape -n 1` outputs Two Sum JSON data
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- [ ] `lcpy scrape -s two-sum` works identically
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- [ ] `lcpy list` shows all available problems in table format
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- [ ] `lcpy list -t grind-75` filters correctly
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- [ ] `lcpy list -d easy` filters by difficulty
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- [ ] Generated problems maintain same structure as current repo
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- [ ] All existing data structures (`TreeNode`, etc.) remain importable
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- [ ] CLI works from any directory
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- [ ] Package size reasonable for PyPI distribution
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- ✅ CLI installs and works globally via `pip install leetcode-py`
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- ✅ `lcpy gen -n 1` generates Two Sum in current directory (updated default)
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- ✅ `lcpy gen -n 1 -o my-problems` generates Two Sum in `my-problems/` directory
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- ✅ `lcpy gen -s two-sum` works identically
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- ✅ `lcpy gen -t grind-75` generates all 75 problems with tag resolution
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- ✅ `lcpy scrape -n 1` outputs Two Sum JSON data
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- ✅ `lcpy scrape -s two-sum` works identically
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- ✅ `lcpy list` shows all available problems in table format
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- ✅ `lcpy list -t grind-75` filters correctly
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- ✅ `lcpy list -d easy` filters by difficulty
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- ✅ Generated problems maintain same structure as current repo
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- ✅ All existing data structures (`TreeNode`, etc.) remain importable
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- ✅ CLI works from any directory
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- ✅ Package size reasonable for PyPI distribution
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- ✅ Comprehensive test coverage (62 CLI tests)
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- ✅ Enhanced bulk operations with multiple numbers/slugs
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- ✅ Proper error handling and success/failure counting
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- ✅ Complete documentation and usage guides
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## Risk Mitigation
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# Test Case Tool Organization Plan
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## Decision: Cancel CLI Integration
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After analysis, the test case checking functionality is a **development/maintenance tool** for repository maintainers, not end-user CLI functionality. Users of the `lcpy` CLI don't need to know about test case counts - they just want to generate and work with problems.
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## New Plan: Move to Tools Directory
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### 1. Move Script to Tools
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```bash
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# Move from .templates/ to leetcode_py/tools/
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mv .templates/check_test_cases.py leetcode_py/tools/check_test_cases.py
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```
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### 2. Update Script Paths
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Update the script to use correct paths for the new location:
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- JSON templates: `leetcode_py/cli/resources/leetcode/json/problems/`
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- Relative imports if needed
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### 3. Add Makefile Target
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Add convenient Makefile target for easy access:
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```makefile
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# Check test case coverage
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check-test-cases:
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@echo "Checking test case coverage..."
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poetry run python leetcode_py/tools/check_test_cases.py --threshold=$(or $(THRESHOLD),10) --max=$(or $(MAX),10)
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```
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## Benefits of This Approach
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- **Clear separation**: Development tools in `tools/`, user CLI in `cli/`
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- **Easy access**: `make check-test-coverage` is simple and memorable
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- **No CLI bloat**: Keeps `lcpy` focused on user needs
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- **Maintainer friendly**: Still easy for repository maintainers to use
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- **Consistent location**: Follows existing pattern with other tools in `leetcode_py/tools/`
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## Usage After Migration
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```bash
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# Quick check for problems needing more test cases
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make check-test-cases
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# Check all problems (not just first 10)
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make check-test-cases MAX=999
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# Custom threshold and max
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make check-test-cases THRESHOLD=12 MAX=5
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# Direct usage (if needed)
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poetry run python leetcode_py/tools/check_test_cases.py --threshold=12 --max=5
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```
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## Implementation Steps
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1. **Move file**: `mv .templates/check_test_cases.py leetcode_py/tools/check_test_cases.py`
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2. **Update paths**: Fix JSON template paths in the script
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3. **Add Makefile target**: Add `check-test-cases` with THRESHOLD and MAX args
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4. **Update documentation**: Update `.amazonq/rules/test-case-enhancement.md` to use new Makefile targets
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5. **Test**: Verify the tool works from new location
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## Success Criteria
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- ✅ Script moved to `leetcode_py/tools/check_test_cases.py`
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- ✅ Script works with correct JSON template paths
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-`make check-test-cases` command works with args
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- ✅ Documentation updated to reference new commands
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- ✅ Tool remains fully functional for development use
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This organization maintains clear separation between user-facing CLI tools and development/maintenance utilities.

.amazonq/rules/problem-creation.md

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When user requests a problem by **number** or **name/slug**, the assistant will:
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1. **Scrape** problem data using `.templates/leetcode/scrape.py`
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1. **Scrape** problem data using `lcpy scrape`
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2. **Transform** data into proper JSON template format
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3. **CRITICAL: Include images** - Extract image URLs from scraped data and add to readme_examples with format: `![Example N](image_url)\n\n` before code blocks
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- Check scraped data for image URLs in the `raw_content` field
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- Look for patterns: `https://assets.leetcode.com/uploads/...` or `<img alt="" src="..." />`
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- Common patterns: `kthtree1.jpg`, `kthtree2.jpg`, `clone_graph.png`, `container.jpg`
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- Images provide crucial visual context, especially for tree and graph problems
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- Always verify images are included in `readme_examples` and accessible
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4. **Create** JSON file in `.templates/leetcode/json/{problem_name}.json`
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4. **Create** JSON file in `leetcode_py/cli/resources/leetcode/json/problems/{problem_name}.json`
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5. **Update** Makefile with `PROBLEM ?= {problem_name}`
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6. **Generate** problem structure using `make p-gen`
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7. **Verify** with `make p-lint` - fix template issues in JSON if possible, or manually fix generated files if template limitations
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```bash
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# Fetch by number
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poetry run python .templates/leetcode/scrape.py -n 1
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lcpy scrape -n 1
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# Fetch by slug
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poetry run python .templates/leetcode/scrape.py -s "two-sum"
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lcpy scrape -s "two-sum"
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```
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## JSON Template Format
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Required fields for `.templates/leetcode/json/{problem_name}.json`:
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Required fields for `leetcode_py/cli/resources/leetcode/json/problems/{problem_name}.json`:
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**CRITICAL: Use single quotes for Python strings in playground fields to avoid JSON escaping issues with Jupyter notebooks.**
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- `playground_assertion`: Use single quotes for string literals
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- Double quotes in JSON + cookiecutter + Jupyter notebook = triple escaping issues
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**Reference examples in `.templates/leetcode/examples/` for complete templates:**
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- `basic.json5` - All standard problems (array, string, tree, linked list, etc.)
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- `design.json5` - Data structure design problems (LRU Cache, etc.)
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````json
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{
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"problem_name": "two_sum",
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"solution_class_name": "Solution",
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"problem_number": "1",
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"problem_title": "Two Sum",
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"difficulty": "Easy",
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"topics": "Array, Hash Table",
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"tags": ["grind-75"],
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"readme_description": "Given an array of integers `nums` and an integer `target`, return indices of the two numbers such that they add up to `target`.",
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"readme_examples": [
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{
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"content": "![Example 1](https://example.com/image1.jpg)\n\n```\nInput: nums = [2,7,11,15], target = 9\nOutput: [0,1]\n```\n**Explanation:** Because nums[0] + nums[1] == 9, we return [0, 1]."
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}
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],
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"readme_constraints": "- 2 <= nums.length <= 10^4\n- -10^9 <= nums[i] <= 10^9\n- -10^9 <= target <= 10^9\n- Only one valid answer exists.",
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"readme_additional": "",
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"solution_imports": "",
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"solution_methods": [
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{
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"name": "two_sum",
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"parameters": "nums: list[int], target: int",
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"return_type": "list[int]",
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"dummy_return": "[]"
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}
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],
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"test_imports": "import pytest\nfrom leetcode_py.test_utils import logged_test\nfrom .solution import Solution",
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"test_class_name": "TwoSum",
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"test_helper_methods": [
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{
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"name": "setup_method",
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"parameters": "",
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"body": "self.solution = Solution()"
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}
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],
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"test_methods": [
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{
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"name": "test_two_sum",
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"parametrize": "nums, target, expected",
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"parametrize_typed": "nums: list[int], target: int, expected: list[int]",
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"test_cases": "[([2, 7, 11, 15], 9, [0, 1]), ([3, 2, 4], 6, [1, 2])]",
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"body": "result = self.solution.two_sum(nums, target)\nassert result == expected"
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}
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],
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"playground_imports": "from solution import Solution",
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"playground_test_case": "# Example test case\nnums = [2, 7, 11, 15]\ntarget = 9\nexpected = [0, 1]",
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"playground_execution": "result = Solution().two_sum(nums, target)\nresult",
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"playground_assertion": "assert result == expected"
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}
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````
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**Reference the complete template example:**
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See `leetcode_py/cli/resources/leetcode/examples/example.json5` for a comprehensive template with:
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- All field definitions and variations
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- Comments explaining each field
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- Examples for different problem types (basic, tree, linked list, design, trie)
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- Proper JSON escaping rules for playground fields
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- Multiple solution class patterns
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## Naming Conventions
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.amazonq/rules/test-case-enhancement.md

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## Quick Commands
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### CLI Commands (Recommended)
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```bash
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# Find problems needing enhancement
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poetry run python .templates/check_test_cases.py --threshold=10
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# Generate enhanced problem
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lcpy gen -s {problem_name} -o leetcode --force
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# Test specific problem
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make p-test PROBLEM={problem_name}
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# Generate from JSON template
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make p-gen PROBLEM={problem_name} FORCE=1
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# Lint check
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make p-lint PROBLEM={problem_name}
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```
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### Development Commands
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```bash
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# Find problems needing enhancement
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poetry run python .templates/check_test_cases.py --threshold=10
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# Generate from JSON template (uses lcpy internally)
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make p-gen PROBLEM={problem_name} FORCE=1
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```
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## Test Reproducibility Verification
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Use this same workflow when CI tests fail due to reproducibility issues:

Makefile

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p-gen:
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@echo "Generating problem: $(PROBLEM)"
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poetry run python .templates/leetcode/gen.py .templates/leetcode/json/$(PROBLEM).json $(if $(filter 1,$(FORCE)),--force)
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poetry run lcpy gen -s $(PROBLEM) -o leetcode $(if $(filter 1,$(FORCE)),--force)
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p-del:
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rm -rf leetcode/$(PROBLEM)
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@echo "Deleting existing problems..."
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@rm -rf leetcode/*/
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@echo "Generating all problems..."
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@for json_file in .templates/leetcode/json/*.json; do \
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problem=$$(basename "$$json_file" .json); \
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echo "Generating: $$problem"; \
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poetry run python .templates/leetcode/gen.py "$$json_file" $(if $(filter 1,$(FORCE)),--force); \
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done
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poetry run lcpy gen -t grind-75 -o leetcode $(if $(filter 1,$(FORCE)),--force)

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