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43 lines (39 loc) · 1.26 KB
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[tool.poetry]
name = "dsa-python"
version = "0.1.0"
description = "Data Structures and Algorithms Implementation using Python coding language. This project is for educational purpose and is publicly available for contributions."
authors = ["Animesh <reachanimesh8349@gmail.com>"]
license = "MIT"
readme = "README.md"
packages = [{include = "data_structures", from = "src"}, {include = "algorithms", from = "src"}]
[tool.poetry.dependencies]
python = "^3.13"
graphviz = "^0.21"
ipython = "^9.4.0"
jupyter = "^1.1.1"
matplotlib = "^3.10.5"
[tool.poetry.group.dev.dependencies]
pytest = "^8.4.1"
pytest-benchmark = "^5.1.0"
hypothesis = "^6.135.29"
black = "^25.1.0"
flake8 = "^7.3.0"
mypy = "^1.17.1"
[build-system]
requires = ["poetry-core"]
build-backend = "poetry.core.masonry.api"
# pytest configuration
[tool.pytest.ini_options]
minversion = "8.0"
testpaths = ["tests"]
pythonpath = ["."]
addopts = "-ra -q"
markers = [
"unit_test: Unit test for a specific function or module",
"smoke_test: Basic test for sanity",
"integration_test: Integration test for multiple components",
"performance_test: Performance test for speed and efficiency",
"regression_test: Deep check for known features",
"slow_test: Time-consuming test",
"api_test: API endpoint test",
]