| Name | rtest JSON |
| Version |
0.0.18
JSON |
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| home_page | None |
| Summary | Python test runner built in Rust |
| upload_time | 2025-07-08 19:27:09 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.9 |
| license | MIT |
| keywords |
testing
pytest
rust
performance
|
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No requirements were recorded.
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# rtest
[](https://badge.fury.io/py/rtest)
[](https://pypi.org/project/rtest/)
[](https://opensource.org/licenses/MIT)
A high-performance Python test runner built with Rust, designed as a drop-in replacement for [`pytest`](https://pytest.org) with enhanced collection resilience and built-in parallelization.
> **⚠️ Development Status**: This project is in early development (v0.0.x). While functional, expect breaking changes and evolving features as we work toward stability.
## Features
### Resilient Test Collection
Unlike [`pytest`](https://pytest.org) which stops execution when collection errors occur, `rtest` continues running tests even when some files fail to collect:
**`pytest` stops when collection fails:**
```bash
collected 22 items / 3 errors
!!!!!!!!!!!!!!!!!!!!! Interrupted: 3 errors during collection !!!!!!!!!!!!!!!!!!!!!!!!
============================== 1 warning, 3 errors in 0.97s ==============================
# No tests run - you're stuck
```
**`rtest` keeps going:**
```bash
collected 22 items / 3 errors
!!!!!!!!!!!!!!!!!! Warning: 3 errors during collection !!!!!!!!!!!!!!!!!!!!!
================================== test session starts ===================================
# Your 22 working tests run while you fix the 3 broken files
```
### Built-in Parallelization
`rtest` includes parallel test execution out of the box, without requiring additional plugins like [`pytest-xdist`](https://github.com/pytest-dev/pytest-xdist). Simply use the `-n` flag to run tests across multiple processes:
```bash
# Run tests in parallel (recommended for large test suites)
rtest -n 4 # Use 4 processes
rtest -n auto # Auto-detect CPU cores
rtest --maxprocesses 8 # Limit maximum processes
```
#### Distribution Modes
Control how tests are distributed across workers with the `--dist` flag:
- **`--dist load`** (default): Round-robin distribution of individual tests
- **`--dist loadscope`**: Group tests by module/class scope for fixture reuse
- **`--dist loadfile`**: Group tests by file to keep related tests together
- **`--dist worksteal`**: Optimized distribution for variable test execution times
- **`--dist no`**: Sequential execution (no parallelization)
```bash
# Examples
rtest -n auto --dist loadfile # Group by file across all CPU cores
rtest -n 4 --dist worksteal # Work-steal optimized distribution
rtest --dist no # Sequential execution for debugging
```
**Note**: The `loadgroup` distribution mode from pytest-xdist is not yet supported. xdist_group mark parsing is planned for future releases.
### Current Implementation
The current implementation focuses on enhanced test collection and parallelization, with test execution delegated to [`pytest`](https://pytest.org) for maximum compatibility.
## Performance
*Benchmarks performed using [hyperfine](https://github.com/sharkdp/hyperfine) with 20 runs, 3 warmup runs per measurement, on an M4 Macbook Pro with 14 cores and 48GB RAM.* **More sophisticated benchmarks will be implemented in the future.**
### Against the [`flask`](https://github.com/pallets/flask) Repository
#### Test Collection Performance
```
hyperfine --command-name pytest --command-name rtest "uv run pytest --collect-only" "uv run rtest --collect-only" --warmup 3 --runs 20
Benchmark 1: pytest
Time (mean ± σ): 229.9 ms ± 2.6 ms [User: 184.5 ms, System: 37.4 ms]
Range (min … max): 226.0 ms … 235.4 ms 20 runs
Benchmark 2: rtest
Time (mean ± σ): 35.8 ms ± 1.2 ms [User: 18.1 ms, System: 10.7 ms]
Range (min … max): 34.2 ms … 40.3 ms 20 runs
Summary
rtest ran
6.41 ± 0.23 times faster than pytest
```
#### Test Execution Performance
```
hyperfine --command-name pytest --command-name rtest "uv run pytest -n auto" "uv run rtest -n auto" --warmup 3 --runs 20
Benchmark 1: pytest
Time (mean ± σ): 1.156 s ± 0.021 s [User: 5.314 s, System: 1.044 s]
Range (min … max): 1.128 s … 1.205 s 20 runs
Benchmark 2: rtest
Time (mean ± σ): 605.4 ms ± 36.2 ms [User: 4768.0 ms, System: 954.3 ms]
Range (min … max): 566.0 ms … 700.1 ms 20 runs
Summary
rtest ran
1.91 ± 0.12 times faster than pytest
```
### Against the [`pydantic`](https://github.com/pydantic/pydantic) Repository
#### Test Collection Performance
```
hyperfine --command-name pytest --command-name rtest "uv run pytest --collect-only" "uv run rtest --collect-only" --warmup 3 --runs 20
Benchmark 1: pytest
Time (mean ± σ): 2.777 s ± 0.031 s [User: 2.598 s, System: 0.147 s]
Range (min … max): 2.731 s … 2.864 s 20 runs
Benchmark 2: rtest
Time (mean ± σ): 61.2 ms ± 1.1 ms [User: 40.1 ms, System: 14.4 ms]
Range (min … max): 60.1 ms … 64.2 ms 20 runs
Summary
rtest ran
45.39 ± 0.95 times faster than pytest
```
#### Test Execution Performance
```
hyperfine --command-name pytest --command-name rtest "uv run pytest -n auto" "uv run rtest -n auto" --warmup 3 --runs 20 --ignore-failure
Benchmark 1: pytest
Time (mean ± σ): 5.239 s ± 0.223 s [User: 48.686 s, System: 4.160 s]
Range (min … max): 4.964 s … 5.712 s 20 runs
Warning: Ignoring non-zero exit code.
Benchmark 2: rtest
Time (mean ± σ): 3.209 s ± 0.238 s [User: 21.003 s, System: 5.131 s]
Range (min … max): 2.935 s … 3.680 s 20 runs
Warning: Ignoring non-zero exit code.
Summary
rtest ran
1.63 ± 0.14 times faster than pytest
```
*Note: `--ignore-failure` is passed at the moment because there are failures when running both `pytest` and `rtest` against the [`pydantic`](https://github.com/pydantic/pydantic) repository for reason not yet investigated.*
## Quick Start
### Installation
```bash
pip install rtest
```
*Requires Python 3.9+*
### Basic Usage
```bash
# Drop-in replacement for pytest
rtest
# That's it! All your existing pytest workflows work
rtest tests/
rtest tests/test_auth.py -v
rtest -- -k "test_user" --tb=short
```
## Advanced Usage
### Environment Configuration
```bash
# Set environment variables for your tests
rtest -e DEBUG=1 -e DATABASE_URL=sqlite://test.db
# Useful for testing different configurations
rtest -e ENVIRONMENT=staging -- tests/integration/
```
### Collection and Discovery
```bash
# See what tests would run without executing them
rtest --collect-only
# Mix `rtest` options with any pytest arguments
rtest -n 4 -- -v --tb=short -k "not slow"
```
### Python API
```python
from rtest import run_tests
# Programmatic test execution
run_tests()
# With custom pytest arguments
run_tests(pytest_args=["tests/unit/", "-v", "--tb=short"])
# Suitable for CI/CD pipelines and automation
result = run_tests(pytest_args=["--junitxml=results.xml"])
```
### Command Reference
| Option | Description |
|--------|-------------|
| `-n, --numprocesses N` | Run tests in N parallel processes |
| `--maxprocesses N` | Maximum number of worker processes |
| `-e, --env KEY=VALUE` | Set environment variables (can be repeated) |
| `--dist MODE` | Distribution mode for parallel execution (default: load) |
| `--collect-only` | Show what tests would run without executing them |
| `--help` | Show all available options |
| `--version` | Show `rtest` version |
**Pro tip**: Use `--` to separate `rtest` options from [`pytest`](https://pytest.org) arguments:
```bash
rtest -n 4 -e DEBUG=1 -- -v -k "integration" --tb=short
```
## Known Limitations
### Parametrized Test Discovery
`rtest` currently discovers only the base function names for parametrized tests (created with `@pytest.mark.parametrize`), rather than expanding them into individual test items during collection. For example:
```python
@pytest.mark.parametrize("value", [1, 2, 3])
def test_example(value):
assert value > 0
```
**pytest collection shows:**
```
test_example[1]
test_example[2]
test_example[3]
```
**rtest collection shows:**
```
test_example
```
However, when `rtest` executes tests using pytest as the executor, passing the base function name (`test_example`) to pytest results in identical behavior - pytest automatically runs all parametrized variants. This means test execution is functionally equivalent between the tools, but collection counts may differ.
## Contributing
We welcome contributions! Check out our [Contributing Guide](CONTRIBUTING.rst) for details on:
- Reporting bugs
- Suggesting features
- Development setup
- Documentation improvements
## License
MIT - see [LICENSE](LICENSE) file for details.
---
## Acknowledgments
This project takes inspiration from [Astral](https://astral.sh) and leverages their excellent Rust crates:
- [`ruff_python_ast`](https://github.com/astral-sh/ruff/tree/main/crates/ruff_python_ast) - Python AST utilities
- [`ruff_python_parser`](https://github.com/astral-sh/ruff/tree/main/crates/ruff_python_parser) - Python parser implementation
**Built with Rust for the Python community**
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"description": "# rtest\n\n[](https://badge.fury.io/py/rtest)\n[](https://pypi.org/project/rtest/)\n[](https://opensource.org/licenses/MIT)\n\nA high-performance Python test runner built with Rust, designed as a drop-in replacement for [`pytest`](https://pytest.org) with enhanced collection resilience and built-in parallelization.\n\n> **\u26a0\ufe0f Development Status**: This project is in early development (v0.0.x). While functional, expect breaking changes and evolving features as we work toward stability.\n\n## Features\n\n### Resilient Test Collection\nUnlike [`pytest`](https://pytest.org) which stops execution when collection errors occur, `rtest` continues running tests even when some files fail to collect:\n\n**`pytest` stops when collection fails:**\n```bash\ncollected 22 items / 3 errors\n!!!!!!!!!!!!!!!!!!!!! Interrupted: 3 errors during collection !!!!!!!!!!!!!!!!!!!!!!!!\n============================== 1 warning, 3 errors in 0.97s ==============================\n# No tests run - you're stuck\n```\n\n**`rtest` keeps going:**\n```bash\ncollected 22 items / 3 errors\n!!!!!!!!!!!!!!!!!! Warning: 3 errors during collection !!!!!!!!!!!!!!!!!!!!!\n================================== test session starts ===================================\n# Your 22 working tests run while you fix the 3 broken files\n```\n\n### Built-in Parallelization\n`rtest` includes parallel test execution out of the box, without requiring additional plugins like [`pytest-xdist`](https://github.com/pytest-dev/pytest-xdist). Simply use the `-n` flag to run tests across multiple processes:\n\n```bash\n# Run tests in parallel (recommended for large test suites)\nrtest -n 4 # Use 4 processes\nrtest -n auto # Auto-detect CPU cores\nrtest --maxprocesses 8 # Limit maximum processes\n```\n\n#### Distribution Modes\n\nControl how tests are distributed across workers with the `--dist` flag:\n\n- **`--dist load`** (default): Round-robin distribution of individual tests\n- **`--dist loadscope`**: Group tests by module/class scope for fixture reuse\n- **`--dist loadfile`**: Group tests by file to keep related tests together \n- **`--dist worksteal`**: Optimized distribution for variable test execution times\n- **`--dist no`**: Sequential execution (no parallelization)\n\n```bash\n# Examples\nrtest -n auto --dist loadfile # Group by file across all CPU cores\nrtest -n 4 --dist worksteal # Work-steal optimized distribution\nrtest --dist no # Sequential execution for debugging\n```\n\n**Note**: The `loadgroup` distribution mode from pytest-xdist is not yet supported. xdist_group mark parsing is planned for future releases.\n\n### Current Implementation\nThe current implementation focuses on enhanced test collection and parallelization, with test execution delegated to [`pytest`](https://pytest.org) for maximum compatibility.\n\n## Performance\n\n*Benchmarks performed using [hyperfine](https://github.com/sharkdp/hyperfine) with 20 runs, 3 warmup runs per measurement, on an M4 Macbook Pro with 14 cores and 48GB RAM.* **More sophisticated benchmarks will be implemented in the future.**\n\n### Against the [`flask`](https://github.com/pallets/flask) Repository\n\n#### Test Collection Performance\n```\nhyperfine --command-name pytest --command-name rtest \"uv run pytest --collect-only\" \"uv run rtest --collect-only\" --warmup 3 --runs 20\nBenchmark 1: pytest\n Time (mean \u00b1 \u03c3): 229.9 ms \u00b1 2.6 ms [User: 184.5 ms, System: 37.4 ms]\n Range (min \u2026 max): 226.0 ms \u2026 235.4 ms 20 runs\n \nBenchmark 2: rtest\n Time (mean \u00b1 \u03c3): 35.8 ms \u00b1 1.2 ms [User: 18.1 ms, System: 10.7 ms]\n Range (min \u2026 max): 34.2 ms \u2026 40.3 ms 20 runs\n \nSummary\n rtest ran\n 6.41 \u00b1 0.23 times faster than pytest\n```\n\n#### Test Execution Performance \n```\nhyperfine --command-name pytest --command-name rtest \"uv run pytest -n auto\" \"uv run rtest -n auto\" --warmup 3 --runs 20\nBenchmark 1: pytest\n Time (mean \u00b1 \u03c3): 1.156 s \u00b1 0.021 s [User: 5.314 s, System: 1.044 s]\n Range (min \u2026 max): 1.128 s \u2026 1.205 s 20 runs\n \nBenchmark 2: rtest\n Time (mean \u00b1 \u03c3): 605.4 ms \u00b1 36.2 ms [User: 4768.0 ms, System: 954.3 ms]\n Range (min \u2026 max): 566.0 ms \u2026 700.1 ms 20 runs\n \nSummary\n rtest ran\n 1.91 \u00b1 0.12 times faster than pytest\n```\n\n### Against the [`pydantic`](https://github.com/pydantic/pydantic) Repository\n\n#### Test Collection Performance\n```\nhyperfine --command-name pytest --command-name rtest \"uv run pytest --collect-only\" \"uv run rtest --collect-only\" --warmup 3 --runs 20\nBenchmark 1: pytest\n Time (mean \u00b1 \u03c3): 2.777 s \u00b1 0.031 s [User: 2.598 s, System: 0.147 s]\n Range (min \u2026 max): 2.731 s \u2026 2.864 s 20 runs\n \nBenchmark 2: rtest\n Time (mean \u00b1 \u03c3): 61.2 ms \u00b1 1.1 ms [User: 40.1 ms, System: 14.4 ms]\n Range (min \u2026 max): 60.1 ms \u2026 64.2 ms 20 runs\n \nSummary\n rtest ran\n 45.39 \u00b1 0.95 times faster than pytest\n```\n\n#### Test Execution Performance \n\n```\nhyperfine --command-name pytest --command-name rtest \"uv run pytest -n auto\" \"uv run rtest -n auto\" --warmup 3 --runs 20 --ignore-failure\nBenchmark 1: pytest\n Time (mean \u00b1 \u03c3): 5.239 s \u00b1 0.223 s [User: 48.686 s, System: 4.160 s]\n Range (min \u2026 max): 4.964 s \u2026 5.712 s 20 runs\n \n Warning: Ignoring non-zero exit code.\n \nBenchmark 2: rtest\n Time (mean \u00b1 \u03c3): 3.209 s \u00b1 0.238 s [User: 21.003 s, System: 5.131 s]\n Range (min \u2026 max): 2.935 s \u2026 3.680 s 20 runs\n \n Warning: Ignoring non-zero exit code.\n \nSummary\n rtest ran\n 1.63 \u00b1 0.14 times faster than pytest\n```\n*Note: `--ignore-failure` is passed at the moment because there are failures when running both `pytest` and `rtest` against the [`pydantic`](https://github.com/pydantic/pydantic) repository for reason not yet investigated.*\n\n## Quick Start\n\n### Installation\n\n```bash\npip install rtest\n```\n\n*Requires Python 3.9+*\n\n### Basic Usage\n\n```bash\n# Drop-in replacement for pytest\nrtest\n\n# That's it! All your existing pytest workflows work\nrtest tests/\nrtest tests/test_auth.py -v\nrtest -- -k \"test_user\" --tb=short\n```\n\n## Advanced Usage\n\n### Environment Configuration\n```bash\n# Set environment variables for your tests\nrtest -e DEBUG=1 -e DATABASE_URL=sqlite://test.db\n\n# Useful for testing different configurations\nrtest -e ENVIRONMENT=staging -- tests/integration/\n```\n\n### Collection and Discovery\n```bash\n# See what tests would run without executing them\nrtest --collect-only\n\n# Mix `rtest` options with any pytest arguments\nrtest -n 4 -- -v --tb=short -k \"not slow\"\n```\n\n### Python API\n```python\nfrom rtest import run_tests\n\n# Programmatic test execution\nrun_tests()\n\n# With custom pytest arguments\nrun_tests(pytest_args=[\"tests/unit/\", \"-v\", \"--tb=short\"])\n\n# Suitable for CI/CD pipelines and automation\nresult = run_tests(pytest_args=[\"--junitxml=results.xml\"])\n```\n\n### Command Reference\n\n| Option | Description |\n|--------|-------------|\n| `-n, --numprocesses N` | Run tests in N parallel processes |\n| `--maxprocesses N` | Maximum number of worker processes |\n| `-e, --env KEY=VALUE` | Set environment variables (can be repeated) |\n| `--dist MODE` | Distribution mode for parallel execution (default: load) |\n| `--collect-only` | Show what tests would run without executing them |\n| `--help` | Show all available options |\n| `--version` | Show `rtest` version |\n\n**Pro tip**: Use `--` to separate `rtest` options from [`pytest`](https://pytest.org) arguments:\n```bash\nrtest -n 4 -e DEBUG=1 -- -v -k \"integration\" --tb=short\n```\n\n## Known Limitations\n\n### Parametrized Test Discovery\n`rtest` currently discovers only the base function names for parametrized tests (created with `@pytest.mark.parametrize`), rather than expanding them into individual test items during collection. For example:\n\n```python\n@pytest.mark.parametrize(\"value\", [1, 2, 3])\ndef test_example(value):\n assert value > 0\n```\n\n**pytest collection shows:**\n```\ntest_example[1]\ntest_example[2] \ntest_example[3]\n```\n\n**rtest collection shows:**\n```\ntest_example\n```\n\nHowever, when `rtest` executes tests using pytest as the executor, passing the base function name (`test_example`) to pytest results in identical behavior - pytest automatically runs all parametrized variants. This means test execution is functionally equivalent between the tools, but collection counts may differ.\n\n## Contributing\n\nWe welcome contributions! Check out our [Contributing Guide](CONTRIBUTING.rst) for details on:\n\n- Reporting bugs\n- Suggesting features \n- Development setup\n- Documentation improvements\n\n## License\n\nMIT - see [LICENSE](LICENSE) file for details.\n\n---\n\n## Acknowledgments\n\nThis project takes inspiration from [Astral](https://astral.sh) and leverages their excellent Rust crates:\n- [`ruff_python_ast`](https://github.com/astral-sh/ruff/tree/main/crates/ruff_python_ast) - Python AST utilities\n- [`ruff_python_parser`](https://github.com/astral-sh/ruff/tree/main/crates/ruff_python_parser) - Python parser implementation\n\n**Built with Rust for the Python community**\n\n",
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