| Name | rust-pyfunc JSON |
| Version |
0.27.0
JSON |
| download |
| home_page | None |
| Summary | A collection of high-performance Python functions implemented in Rust |
| upload_time | 2025-07-21 19:29:22 |
| maintainer | None |
| docs_url | None |
| author | chenzongwei |
| requires_python | >=3.8 |
| license | MIT |
| keywords |
python
rust
algorithms
performance
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# Rust_Pyfunc [](https://deepwiki.com/chen-001/rust_pyfunc)
一个专注于高性能计算的Python库，通过Rust实现计算密集型算法，专门为金融数据分析、时间序列处理和统计计算提供显著的速度提升。
## 安装
```shell
pip install rust_pyfunc
```
## 使用
```python
import rust_pyfunc as rp
```
## 贡献指南
### 贡献原则
1. **性能优先**: 只有能显著提升性能的函数才考虑用Rust实现
2. **安全第一**: 所有代码必须通过内存安全检查，避免越界访问
3. **接口清晰**: Python接口要简洁易用，类型提示完整
4. **文档完善**: 每个函数都需要详细的文档和使用示例
5. **测试充分**: 必须包含正确性测试和性能对比测试
### 欢迎所有类型的贡献
我们欢迎并感谢所有形式的贡献！无论你的技能水平如何，都有适合你的贡献方式：
🚀 **功能贡献**:
- 新的算法实现（数值计算、统计分析、机器学习等）
- 性能优化（加速现有函数、并行化处理）
- 新模块开发（创建全新的功能领域）
📝 **文档贡献**:
- 改进函数文档和使用示例
- 添加教程和最佳实践指南
- 翻译文档到其他语言
🧪 **测试和质量保证**:
- 添加更多测试用例
- 改进测试覆盖率
- 发现和修复bug
🔧 **工程改进**:
- CI/CD流程优化
- 构建系统改进
- 配置文件和脚本优化
💡 **想法和建议**:
- 提出新功能请求
- 报告问题和改进建议
- 参与设计讨论
### 开发环境设置
**必要工具**:
```bash
# 1. 安装Rust工具链
curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh
source ~/.cargo/env
# 2. 确保Python环境（支持Python 3.8+）
# 可以使用现有的Python环境，无需创建新环境
python --version # 确认版本 >= 3.8
# 3. 安装构建工具
pip install maturin
# 4. 安装可选的开发依赖
pip install numpy pandas pytest # 用于测试和验证
```
**Fork和克隆项目**:
```bash
# 1. 在GitHub上Fork项目到你的账户
# 访问 https://github.com/chen-001/rust_pyfunc 点击Fork
# 2. 克隆你的Fork
git clone https://github.com/your-username/rust_pyfunc.git
cd rust_pyfunc
# 3. 添加原始仓库为upstream（保持与主仓库同步）
git remote add upstream https://github.com/chen-001/rust_pyfunc.git
# 4. 验证环境
maturin --version
```
### Upstream远程仓库的作用与使用
**Upstream的好处**：
- 🔄 **保持同步**: 随时获取主仓库的最新更新
- 🚀 **清洁的PR**: 基于最新代码创建Pull Request
- 🔀 **冲突预防**: 及时发现和解决合并冲突
- 📈 **协作便利**: 与其他贡献者保持代码一致性
**常用操作流程**：
```bash
# 获取主仓库最新更改
git fetch upstream
# 切换到本地main分支
git checkout main
# 将upstream的main分支合并到本地main
git merge upstream/main
# 推送更新到你的Fork
git push origin main
# 基于最新代码创建新功能分支
git checkout -b feature/your-new-feature
# 开发完成后，再次同步（确保没有冲突）
git fetch upstream
git rebase upstream/main
# 推送功能分支并创建PR
git push origin feature/your-new-feature
```
**最佳实践建议**：
- 💡 每次开始新功能前先同步：`git pull upstream main`
- 🔍 定期检查主仓库更新：`git fetch upstream && git log upstream/main --oneline -10`
- 🎯 保持分支整洁：使用rebase而非merge来整理提交历史
- ⚡ 快速同步命令：`git fetch upstream && git checkout main && git merge upstream/main && git push origin main`
### 快速构建指南
**推荐的构建方式**:
```bash
# 开发模式构建（推荐用于开发）
maturin develop
# 查看详细构建输出
maturin develop --verbose
# 释放模式构建（用于正式使用，速度更快）
maturin develop --release
```
**验证安装**:
```bash
# 验证模块导入
python -c "import rust_pyfunc as rp; print('✅ 导入成功')"
# 查看可用函数
python -c "import rust_pyfunc as rp; print(dir(rp))"
```
### 添加新函数的步骤
#### 第一步：规划和设计
1. **选择或创建模块**：
**现有模块**（可选择加入）：
- `time_series/` - 时间序列分析
- `statistics/` - 统计计算
- `sequence/` - 序列分析
- `text/` - 文本处理
- `parallel_computing/` - 并行计算
- `trading_analysis/` - 交易分析
**创建新模块**（推荐方式）：
```bash
# 创建新的功能模块
mkdir src/your_new_module
touch src/your_new_module/mod.rs
touch src/your_new_module/your_function.rs
```
2. **编写Python参考实现**（重要！用于验证正确性）：
```python
# 示例：在tests/目录下创建测试文件
def python_prototype(data):
"""Python实现版本，用于验证正确性"""
# 实现算法逻辑
return result
```
#### 第二步：Rust实现
1. **创建或修改Rust模块**（推荐创建新文件）：
```rust
// src/your_module/your_function.rs
use pyo3::prelude::*;
use numpy::{PyArray1, PyReadonlyArray1};
#[pyfunction]
pub fn your_function_name(
input: PyReadonlyArray1<f64>,
param: f64,
) -> PyResult<Py<PyArray1<f64>>> {
// Rust实现
// 注意：添加边界检查和错误处理
todo!()
}
```
2. **在模块中声明函数**：
```rust
// src/your_new_module/mod.rs
pub mod your_function;
pub use your_function::*;
```
3. **在lib.rs中添加模块和导出函数**：
```rust
// src/lib.rs
// 添加模块声明（文件顶部附近）
mod your_new_module;
// 在#[pymodule]函数中导出（约21-65行）
#[pymodule]
fn rust_pyfunc(_py: Python, m: &PyModule) -> PyResult<()> {
// ... existing functions ...
m.add_function(wrap_pyfunction!(your_new_module::your_function_name, m)?)?;
Ok(())
}
```
**新模块的完整结构**：
```
src/your_new_module/
├── mod.rs # 模块声明文件
├── your_function.rs # 具体函数实现
└── utils.rs # （可选）辅助函数
```
#### 第三步：添加类型提示
**创建新的类型提示文件**（如果是新模块）：
```python
# python/rust_pyfunc/your_new_module.pyi
"""Your new module type hints"""
from typing import Optional
import numpy as np
from numpy.typing import NDArray
def your_function_name(
input: NDArray[np.float64],
param: float,
) -> NDArray[np.float64]:
"""详细的函数文档
参数说明：
----------
input : NDArray[np.float64]
输入数据描述
param : float
参数描述
返回值：
-------
NDArray[np.float64]
返回值描述
示例：
-------
>>> import rust_pyfunc as rp
>>> result = rp.your_function_name(data, 1.5)
"""
...
```
如果是加入现有模块，则在对应的.pyi文件中添加函数声明即可。
#### 第四步：编写测试
**在tests/目录下创建测试文件**：
```python
# tests/test_your_function.py
import numpy as np
import rust_pyfunc as rp
import time
def python_reference_implementation(data, param=1.5):
"""Python参考实现 - 必须先实现这个！
这个函数是验证Rust实现正确性的金标准。
请用最直观、最容易理解的方式实现算法逻辑。
"""
import numpy as np
# 这里实现你的算法逻辑
# 例如：计算某种移动平均
result = []
for i in range(len(data)):
if i == 0:
result.append(data[i])
else:
# 指数移动平均示例
result.append(param * data[i] + (1 - param) * result[-1])
return np.array(result)
def test_correctness():
"""正确性验证 - 最重要的测试！"""
# 生成多种测试数据
test_cases = [
np.random.randn(100), # 随机数据
np.arange(50, dtype=float), # 递增序列
np.ones(30) * 5.0, # 常数序列
np.array([1.0, -1.0] * 25), # 交替序列
]
for i, data in enumerate(test_cases):
print(f"🧪 测试用例 {i+1}: 长度={len(data)}")
# Python参考实现
python_result = python_reference_implementation(data, 1.5)
# Rust实现
rust_result = rp.your_function_name(data, 1.5)
# 严格比较结果
np.testing.assert_allclose(
rust_result, python_result,
rtol=1e-12, atol=1e-15,
err_msg=f"测试用例 {i+1} 失败"
)
print(f" ✅ 测试用例 {i+1} 通过")
print("🎉 所有正确性测试通过！")
def test_performance():
"""性能对比测试 - 展示Rust的优势"""
print("🏃♂️ 开始性能测试...")
# 多种规模的测试数据
test_sizes = [1000, 10000, 100000]
for size in test_sizes:
print(f"\n📊 测试数据规模: {size:,} 个元素")
data = np.random.randn(size)
# 预热（避免首次调用的开销）
_ = python_reference_implementation(data[:100])
_ = rp.your_function_name(data[:100], 1.5)
# 测试Python版本
print(" ⏱️ 测试Python实现...")
python_times = []
for _ in range(10): # 多次测试取平均
start = time.perf_counter()
python_result = python_reference_implementation(data, 1.5)
python_times.append(time.perf_counter() - start)
avg_python_time = sum(python_times) / len(python_times)
# 测试Rust版本
print(" ⚡ 测试Rust实现...")
rust_times = []
for _ in range(10): # 多次测试取平均
start = time.perf_counter()
rust_result = rp.your_function_name(data, 1.5)
rust_times.append(time.perf_counter() - start)
avg_rust_time = sum(rust_times) / len(rust_times)
# 计算性能提升
speedup = avg_python_time / avg_rust_time
print(f" 📈 Python: {avg_python_time*1000:.2f}ms")
print(f" 🚀 Rust: {avg_rust_time*1000:.2f}ms")
print(f" ⚡ 加速比: {speedup:.1f}x")
# 验证结果一致性
np.testing.assert_allclose(rust_result, python_result, rtol=1e-10)
print(f" ✅ 结果验证通过")
print(f"\n🎯 性能测试完成！Rust实现展现了显著的性能优势。")
if __name__ == "__main__":
test_correctness()
test_performance()
```
#### 第五步：构建和测试
```bash
# 构建项目
maturin develop
# 或使用项目的快捷脚本
./alter.sh 2>&1
# 运行测试
python tests/test_your_function.py
# 验证导入
python -c "import rust_pyfunc as rp; print('✅ 模块导入成功')"
python -c "import rust_pyfunc as rp; print(dir(rp))" # 查看所有可用函数
```
**重要提醒**：
- ⚠️ **必须先写Python参考实现**，用于验证Rust版本的正确性
- 🧪 **多种测试用例**：随机数据、边界条件、特殊值
- ⚡ **性能测试**：展示Rust相对于Python的加速效果
- 📝 **详细文档**：函数用途、参数、返回值、使用示例
### 代码规范
#### Rust代码规范
```rust
// ✅ 好的示例
#[pyfunction]
pub fn calculate_moving_average(
data: PyReadonlyArray1<f64>,
window: usize,
) -> PyResult<Py<PyArray1<f64>>> {
let data = data.as_array();
let n = data.len();
// 边界检查
if window == 0 || window > n {
return Err(PyErr::new::<pyo3::exceptions::PyValueError, _>(
"窗口大小必须在1到数据长度之间"
));
}
let mut result = Vec::with_capacity(n - window + 1);
// 使用迭代器和并行处理（如果适用）
for i in 0..=(n - window) {
let sum: f64 = data.slice(s![i..i + window]).sum();
result.push(sum / window as f64);
}
Python::with_gil(|py| {
Ok(PyArray1::from_vec(py, result).to_owned())
})
}
```
#### 必须遵循的安全规范
1. **边界检查**: 所有数组访问都要检查边界
2. **错误处理**: 使用`PyResult`和适当的错误类型
3. **内存管理**: 避免内存泄漏，正确使用`Python::with_gil`
4. **并发安全**: 如果使用并行，确保线程安全
#### 性能优化建议
```rust
// 使用rayon并行处理
use rayon::prelude::*;
// 并行版本
let result: Vec<f64> = (0..=n-window)
.into_par_iter()
.map(|i| {
let sum: f64 = data.slice(s![i..i + window]).sum();
sum / window as f64
})
.collect();
```
### 文档要求
每个函数都需要包含：
1. **功能描述**: 清晰说明函数用途
2. **参数说明**: 每个参数的类型、含义、约束
3. **返回值说明**: 返回值类型和含义
4. **性能特性**: 时间复杂度、预期速度提升
5. **使用示例**: 至少2个实际使用案例
6. **注意事项**: 使用限制、边界条件
### 贡献流程（Fork + Pull Request）
#### 第一步：Fork和设置
```bash
# 1. 在GitHub上Fork项目
# 访问 https://github.com/chen-001/rust_pyfunc
# 点击右上角的 "Fork" 按钮
# 2. 克隆你的Fork到本地
git clone https://github.com/your-username/rust_pyfunc.git
cd rust_pyfunc
# 3. 添加原仓库为upstream（保持同步用）
git remote add upstream https://github.com/chen-001/rust_pyfunc.git
# 4. 验证远程仓库配置
git remote -v
# origin https://github.com/your-username/rust_pyfunc.git (fetch)
# origin https://github.com/your-username/rust_pyfunc.git (push)
# upstream https://github.com/chen-001/rust_pyfunc.git (fetch)
# upstream https://github.com/chen-001/rust_pyfunc.git (push)
```
#### 第二步：创建功能分支
```bash
# 1. 确保在main分支且是最新的
git checkout main
git pull upstream main
# 2. 创建并切换到功能分支
git checkout -b feature/your-function-name
# 或者创建修复分支
git checkout -b fix/issue-description
```
#### 第三步：开发和提交
```bash
# 开发你的功能...
# 按照前面的步骤添加Rust实现、类型提示、测试等
# 分阶段提交，保持提交历史清晰
git add src/your_new_module/
git commit -m "feat: 添加your_function_name的Rust实现
- 实现高性能算法XYZ
- 支持多种数据类型输入
- 包含完整的错误处理"
git add python/rust_pyfunc/your_new_module.pyi
git commit -m "docs: 添加your_function_name的类型提示
- 完整的函数签名和文档
- 详细的参数说明和示例"
git add tests/test_your_function.py
git commit -m "test: 添加your_function_name的测试
- 正确性验证测试
- 多场景性能对比测试
- 边界条件测试"
```
#### 第四步：测试和验证
```bash
# 构建项目
maturin develop
# 运行你的测试
python tests/test_your_function.py
# 运行所有测试（确保没有破坏现有功能）
python -m pytest tests/ -v
# 检查代码格式（如果项目有linting配置）
cargo fmt --check
cargo clippy
```
#### 第五步：推送和创建Pull Request
```bash
# 推送到你的Fork
git push origin feature/your-function-name
# 如果是第一次推送这个分支
git push -u origin feature/your-function-name
```
然后在GitHub上：
1. 访问你的Fork页面
2. GitHub会提示创建Pull Request，点击 "Compare & pull request"
3. 填写PR信息（见下面的模板）
#### Pull Request模板
**标题格式**：
- `feat: 添加your_function_name函数` （新功能）
- `fix: 修复issue_description` （bug修复）
- `docs: 改进documentation_part` （文档改进）
- `test: 添加test_description` （测试改进）
**PR描述模板**：
```markdown
## 📝 变更描述
简要描述此PR的目的和实现的功能
## ✨ 新增功能
- 实现了高性能的XXX算法
- 支持YYY数据类型
- 提供ZZZ接口
## 🚀 性能提升
- 相比Python实现提升 XX 倍
- 处理100万数据点仅需 XX ms
- 内存使用减少 XX%
## 🧪 测试情况
- [x] 正确性测试通过
- [x] 性能测试完成
- [x] 边界条件测试
- [x] 现有功能回归测试
## 📊 性能测试结果
```
数据规模 | Python时间 | Rust时间 | 加速比
----------|-----------|----------|-------
1,000 | 10.5ms | 0.8ms | 13.1x
10,000 | 105ms | 7.2ms | 14.6x
100,000 | 1.05s | 72ms | 14.6x
```
## 🔗 相关Issue
修复 #issue_number （如果有相关issue）
## ✅ 检查清单
- [x] 代码编译通过
- [x] 所有测试通过
- [x] 添加了类型提示
- [x] 更新了文档
- [x] 遵循了代码规范
```
### 示例：完整的贡献流程
假设我们要添加一个计算指数移动平均(EMA)的函数，完整的贡献过程如下：
#### 准备阶段
```bash
# 1. Fork项目并克隆
git clone https://github.com/your-username/rust_pyfunc.git
cd rust_pyfunc
git remote add upstream https://github.com/chen-001/rust_pyfunc.git
# 2. 创建功能分支
git checkout main
git pull upstream main
git checkout -b feature/exponential-moving-average
```
#### 开发阶段
```bash
# 3. 创建新模块结构
mkdir -p src/moving_averages
touch src/moving_averages/mod.rs
touch src/moving_averages/ema.rs
# 4. 实现Python参考版本（重要！）
# tests/test_ema.py - 先写Python实现用于验证
```
**Python参考实现**：
```python
# tests/test_ema.py
import numpy as np
def python_ema(data, alpha=0.1):
"""Python参考实现 - 指数移动平均"""
result = np.zeros_like(data)
result[0] = data[0]
for i in range(1, len(data)):
result[i] = alpha * data[i] + (1 - alpha) * result[i-1]
return result
```
**Rust实现**：
```rust
// src/moving_averages/ema.rs
use pyo3::prelude::*;
use numpy::{PyArray1, PyReadonlyArray1};
#[pyfunction]
pub fn exponential_moving_average(
data: PyReadonlyArray1<f64>,
alpha: f64,
) -> PyResult<Py<PyArray1<f64>>> {
let data = data.as_array();
let n = data.len();
if alpha <= 0.0 || alpha > 1.0 {
return Err(PyErr::new::<pyo3::exceptions::PyValueError, _>(
"alpha必须在(0, 1]范围内"
));
}
let mut result = Vec::with_capacity(n);
if n > 0 {
result.push(data[0]);
for i in 1..n {
let ema = alpha * data[i] + (1.0 - alpha) * result[i-1];
result.push(ema);
}
}
Python::with_gil(|py| {
Ok(PyArray1::from_vec(py, result).to_owned())
})
}
```
#### 集成和测试
```bash
# 5. 添加到模块系统
echo "pub mod ema;" >> src/moving_averages/mod.rs
echo "pub use ema::*;" >> src/moving_averages/mod.rs
# 在src/lib.rs中添加
# mod moving_averages;
# m.add_function(wrap_pyfunction!(moving_averages::exponential_moving_average, m)?)?;
# 6. 创建类型提示文件
# python/rust_pyfunc/moving_averages.pyi
# 7. 构建和测试
maturin develop
python tests/test_ema.py
# 8. 分阶段提交
git add src/moving_averages/
git commit -m "feat: 实现指数移动平均(EMA)的Rust核心算法
- 高性能EMA计算，支持任意alpha参数
- 完整的边界检查和错误处理
- 内存高效的向量化实现"
git add python/rust_pyfunc/moving_averages.pyi
git commit -m "docs: 添加EMA函数的类型提示和文档
- 完整的函数签名和参数说明
- 详细的使用示例和注意事项"
git add tests/test_ema.py
git commit -m "test: 添加EMA函数的完整测试套件
- Python参考实现用于正确性验证
- 多规模性能基准测试
- 边界条件和错误处理测试
- 测试结果：比纯Python实现快25倍"
```
#### 提交PR
```bash
# 9. 推送到你的Fork
git push -u origin feature/exponential-moving-average
# 10. 在GitHub上创建Pull Request
# 标题：feat: 添加指数移动平均(EMA)计算函数
# 使用前面提供的PR模板填写描述
```
**预期性能测试结果**：
```
📊 EMA性能测试结果:
数据规模 | Python时间 | Rust时间 | 加速比
----------|-----------|----------|-------
1,000 | 2.1ms | 0.08ms | 26.3x
10,000 | 21ms | 0.8ms | 26.3x
100,000 | 210ms | 8ms | 26.3x
```
这个完整示例展示了：
- ✅ Fork + PR的标准协作流程
- ✅ 创建新模块的完整过程
- ✅ Python参考实现的重要性
- ✅ 分阶段清晰的git提交历史
- ✅ 完整的测试和验证流程
### 贡献者支持
如果在贡献过程中遇到问题：
1. **查看现有代码**: 参考`src/time_series/`等模块的实现
2. **运行测试**: 使用`python -m pytest tests/`检查回归
3. **性能分析**: 使用`criterion`进行基准测试
4. **提出Issue**: 在GitHub上描述遇到的问题
我们欢迎任何形式的贡献，从bug修复到新功能实现！
## License
MIT License
Raw data
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"name": "rust-pyfunc",
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"docs_url": null,
"requires_python": ">=3.8",
"maintainer_email": null,
"keywords": "python, rust, algorithms, performance",
"author": "chenzongwei",
"author_email": null,
"download_url": "https://files.pythonhosted.org/packages/1e/ba/ece0b01dc40e0f9254fa12e867b2f2002d2bdc6f3716aaede1d33bcd7b99/rust_pyfunc-0.27.0.tar.gz",
"platform": null,
"description": "# Rust_Pyfunc [](https://deepwiki.com/chen-001/rust_pyfunc)\n\n\u4e00\u4e2a\u4e13\u6ce8\u4e8e\u9ad8\u6027\u80fd\u8ba1\u7b97\u7684Python\u5e93\uff0c\u901a\u8fc7Rust\u5b9e\u73b0\u8ba1\u7b97\u5bc6\u96c6\u578b\u7b97\u6cd5\uff0c\u4e13\u95e8\u4e3a\u91d1\u878d\u6570\u636e\u5206\u6790\u3001\u65f6\u95f4\u5e8f\u5217\u5904\u7406\u548c\u7edf\u8ba1\u8ba1\u7b97\u63d0\u4f9b\u663e\u8457\u7684\u901f\u5ea6\u63d0\u5347\u3002\n\n## \u5b89\u88c5\n```shell\npip install rust_pyfunc\n```\n\n## \u4f7f\u7528\n```python\nimport rust_pyfunc as rp\n```\n\n## \u8d21\u732e\u6307\u5357\n\n### \u8d21\u732e\u539f\u5219\n\n1. **\u6027\u80fd\u4f18\u5148**: \u53ea\u6709\u80fd\u663e\u8457\u63d0\u5347\u6027\u80fd\u7684\u51fd\u6570\u624d\u8003\u8651\u7528Rust\u5b9e\u73b0\n2. **\u5b89\u5168\u7b2c\u4e00**: \u6240\u6709\u4ee3\u7801\u5fc5\u987b\u901a\u8fc7\u5185\u5b58\u5b89\u5168\u68c0\u67e5\uff0c\u907f\u514d\u8d8a\u754c\u8bbf\u95ee\n3. **\u63a5\u53e3\u6e05\u6670**: Python\u63a5\u53e3\u8981\u7b80\u6d01\u6613\u7528\uff0c\u7c7b\u578b\u63d0\u793a\u5b8c\u6574\n4. **\u6587\u6863\u5b8c\u5584**: \u6bcf\u4e2a\u51fd\u6570\u90fd\u9700\u8981\u8be6\u7ec6\u7684\u6587\u6863\u548c\u4f7f\u7528\u793a\u4f8b\n5. **\u6d4b\u8bd5\u5145\u5206**: \u5fc5\u987b\u5305\u542b\u6b63\u786e\u6027\u6d4b\u8bd5\u548c\u6027\u80fd\u5bf9\u6bd4\u6d4b\u8bd5\n\n### \u6b22\u8fce\u6240\u6709\u7c7b\u578b\u7684\u8d21\u732e\n\n\u6211\u4eec\u6b22\u8fce\u5e76\u611f\u8c22\u6240\u6709\u5f62\u5f0f\u7684\u8d21\u732e\uff01\u65e0\u8bba\u4f60\u7684\u6280\u80fd\u6c34\u5e73\u5982\u4f55\uff0c\u90fd\u6709\u9002\u5408\u4f60\u7684\u8d21\u732e\u65b9\u5f0f\uff1a\n\n\ud83d\ude80 **\u529f\u80fd\u8d21\u732e**:\n- \u65b0\u7684\u7b97\u6cd5\u5b9e\u73b0\uff08\u6570\u503c\u8ba1\u7b97\u3001\u7edf\u8ba1\u5206\u6790\u3001\u673a\u5668\u5b66\u4e60\u7b49\uff09\n- \u6027\u80fd\u4f18\u5316\uff08\u52a0\u901f\u73b0\u6709\u51fd\u6570\u3001\u5e76\u884c\u5316\u5904\u7406\uff09\n- \u65b0\u6a21\u5757\u5f00\u53d1\uff08\u521b\u5efa\u5168\u65b0\u7684\u529f\u80fd\u9886\u57df\uff09\n\n\ud83d\udcdd **\u6587\u6863\u8d21\u732e**:\n- \u6539\u8fdb\u51fd\u6570\u6587\u6863\u548c\u4f7f\u7528\u793a\u4f8b\n- \u6dfb\u52a0\u6559\u7a0b\u548c\u6700\u4f73\u5b9e\u8df5\u6307\u5357\n- \u7ffb\u8bd1\u6587\u6863\u5230\u5176\u4ed6\u8bed\u8a00\n\n\ud83e\uddea **\u6d4b\u8bd5\u548c\u8d28\u91cf\u4fdd\u8bc1**:\n- \u6dfb\u52a0\u66f4\u591a\u6d4b\u8bd5\u7528\u4f8b\n- \u6539\u8fdb\u6d4b\u8bd5\u8986\u76d6\u7387\n- \u53d1\u73b0\u548c\u4fee\u590dbug\n\n\ud83d\udd27 **\u5de5\u7a0b\u6539\u8fdb**:\n- CI/CD\u6d41\u7a0b\u4f18\u5316\n- \u6784\u5efa\u7cfb\u7edf\u6539\u8fdb\n- \u914d\u7f6e\u6587\u4ef6\u548c\u811a\u672c\u4f18\u5316\n\n\ud83d\udca1 **\u60f3\u6cd5\u548c\u5efa\u8bae**:\n- \u63d0\u51fa\u65b0\u529f\u80fd\u8bf7\u6c42\n- \u62a5\u544a\u95ee\u9898\u548c\u6539\u8fdb\u5efa\u8bae\n- \u53c2\u4e0e\u8bbe\u8ba1\u8ba8\u8bba\n\n### \u5f00\u53d1\u73af\u5883\u8bbe\u7f6e\n\n**\u5fc5\u8981\u5de5\u5177**:\n```bash\n# 1. \u5b89\u88c5Rust\u5de5\u5177\u94fe\ncurl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh\nsource ~/.cargo/env\n\n# 2. \u786e\u4fddPython\u73af\u5883\uff08\u652f\u6301Python 3.8+\uff09\n# \u53ef\u4ee5\u4f7f\u7528\u73b0\u6709\u7684Python\u73af\u5883\uff0c\u65e0\u9700\u521b\u5efa\u65b0\u73af\u5883\npython --version # \u786e\u8ba4\u7248\u672c >= 3.8\n\n# 3. \u5b89\u88c5\u6784\u5efa\u5de5\u5177\npip install maturin\n\n# 4. \u5b89\u88c5\u53ef\u9009\u7684\u5f00\u53d1\u4f9d\u8d56\npip install numpy pandas pytest # \u7528\u4e8e\u6d4b\u8bd5\u548c\u9a8c\u8bc1\n```\n\n**Fork\u548c\u514b\u9686\u9879\u76ee**:\n```bash\n# 1. \u5728GitHub\u4e0aFork\u9879\u76ee\u5230\u4f60\u7684\u8d26\u6237\n# \u8bbf\u95ee https://github.com/chen-001/rust_pyfunc \u70b9\u51fbFork\n\n# 2. \u514b\u9686\u4f60\u7684Fork\ngit clone https://github.com/your-username/rust_pyfunc.git\ncd rust_pyfunc\n\n# 3. \u6dfb\u52a0\u539f\u59cb\u4ed3\u5e93\u4e3aupstream\uff08\u4fdd\u6301\u4e0e\u4e3b\u4ed3\u5e93\u540c\u6b65\uff09\ngit remote add upstream https://github.com/chen-001/rust_pyfunc.git\n\n# 4. \u9a8c\u8bc1\u73af\u5883\nmaturin --version\n```\n\n### Upstream\u8fdc\u7a0b\u4ed3\u5e93\u7684\u4f5c\u7528\u4e0e\u4f7f\u7528\n\n**Upstream\u7684\u597d\u5904**\uff1a\n- \ud83d\udd04 **\u4fdd\u6301\u540c\u6b65**: \u968f\u65f6\u83b7\u53d6\u4e3b\u4ed3\u5e93\u7684\u6700\u65b0\u66f4\u65b0\n- \ud83d\ude80 **\u6e05\u6d01\u7684PR**: \u57fa\u4e8e\u6700\u65b0\u4ee3\u7801\u521b\u5efaPull Request\n- \ud83d\udd00 **\u51b2\u7a81\u9884\u9632**: \u53ca\u65f6\u53d1\u73b0\u548c\u89e3\u51b3\u5408\u5e76\u51b2\u7a81\n- \ud83d\udcc8 **\u534f\u4f5c\u4fbf\u5229**: \u4e0e\u5176\u4ed6\u8d21\u732e\u8005\u4fdd\u6301\u4ee3\u7801\u4e00\u81f4\u6027\n\n**\u5e38\u7528\u64cd\u4f5c\u6d41\u7a0b**\uff1a\n```bash\n# \u83b7\u53d6\u4e3b\u4ed3\u5e93\u6700\u65b0\u66f4\u6539\ngit fetch upstream\n\n# \u5207\u6362\u5230\u672c\u5730main\u5206\u652f\ngit checkout main\n\n# \u5c06upstream\u7684main\u5206\u652f\u5408\u5e76\u5230\u672c\u5730main\ngit merge upstream/main\n\n# \u63a8\u9001\u66f4\u65b0\u5230\u4f60\u7684Fork\ngit push origin main\n\n# \u57fa\u4e8e\u6700\u65b0\u4ee3\u7801\u521b\u5efa\u65b0\u529f\u80fd\u5206\u652f\ngit checkout -b feature/your-new-feature\n\n# \u5f00\u53d1\u5b8c\u6210\u540e\uff0c\u518d\u6b21\u540c\u6b65\uff08\u786e\u4fdd\u6ca1\u6709\u51b2\u7a81\uff09\ngit fetch upstream\ngit rebase upstream/main\n\n# \u63a8\u9001\u529f\u80fd\u5206\u652f\u5e76\u521b\u5efaPR\ngit push origin feature/your-new-feature\n```\n\n**\u6700\u4f73\u5b9e\u8df5\u5efa\u8bae**\uff1a\n- \ud83d\udca1 \u6bcf\u6b21\u5f00\u59cb\u65b0\u529f\u80fd\u524d\u5148\u540c\u6b65\uff1a`git pull upstream main`\n- \ud83d\udd0d \u5b9a\u671f\u68c0\u67e5\u4e3b\u4ed3\u5e93\u66f4\u65b0\uff1a`git fetch upstream && git log upstream/main --oneline -10`\n- \ud83c\udfaf \u4fdd\u6301\u5206\u652f\u6574\u6d01\uff1a\u4f7f\u7528rebase\u800c\u975emerge\u6765\u6574\u7406\u63d0\u4ea4\u5386\u53f2\n- \u26a1 \u5feb\u901f\u540c\u6b65\u547d\u4ee4\uff1a`git fetch upstream && git checkout main && git merge upstream/main && git push origin main`\n\n### \u5feb\u901f\u6784\u5efa\u6307\u5357\n\n**\u63a8\u8350\u7684\u6784\u5efa\u65b9\u5f0f**:\n```bash\n# \u5f00\u53d1\u6a21\u5f0f\u6784\u5efa\uff08\u63a8\u8350\u7528\u4e8e\u5f00\u53d1\uff09\nmaturin develop\n\n# \u67e5\u770b\u8be6\u7ec6\u6784\u5efa\u8f93\u51fa\nmaturin develop --verbose\n\n# \u91ca\u653e\u6a21\u5f0f\u6784\u5efa\uff08\u7528\u4e8e\u6b63\u5f0f\u4f7f\u7528\uff0c\u901f\u5ea6\u66f4\u5feb\uff09\nmaturin develop --release\n```\n\n**\u9a8c\u8bc1\u5b89\u88c5**:\n```bash\n# \u9a8c\u8bc1\u6a21\u5757\u5bfc\u5165\npython -c \"import rust_pyfunc as rp; print('\u2705 \u5bfc\u5165\u6210\u529f')\"\n\n# \u67e5\u770b\u53ef\u7528\u51fd\u6570\npython -c \"import rust_pyfunc as rp; print(dir(rp))\"\n```\n\n### \u6dfb\u52a0\u65b0\u51fd\u6570\u7684\u6b65\u9aa4\n\n#### \u7b2c\u4e00\u6b65\uff1a\u89c4\u5212\u548c\u8bbe\u8ba1\n\n1. **\u9009\u62e9\u6216\u521b\u5efa\u6a21\u5757**\uff1a\n \n **\u73b0\u6709\u6a21\u5757**\uff08\u53ef\u9009\u62e9\u52a0\u5165\uff09\uff1a\n - `time_series/` - \u65f6\u95f4\u5e8f\u5217\u5206\u6790\n - `statistics/` - \u7edf\u8ba1\u8ba1\u7b97\n - `sequence/` - \u5e8f\u5217\u5206\u6790\n - `text/` - \u6587\u672c\u5904\u7406\n - `parallel_computing/` - \u5e76\u884c\u8ba1\u7b97\n - `trading_analysis/` - \u4ea4\u6613\u5206\u6790\n\n **\u521b\u5efa\u65b0\u6a21\u5757**\uff08\u63a8\u8350\u65b9\u5f0f\uff09\uff1a\n ```bash\n # \u521b\u5efa\u65b0\u7684\u529f\u80fd\u6a21\u5757\n mkdir src/your_new_module\n touch src/your_new_module/mod.rs\n touch src/your_new_module/your_function.rs\n ```\n\n2. **\u7f16\u5199Python\u53c2\u8003\u5b9e\u73b0**\uff08\u91cd\u8981\uff01\u7528\u4e8e\u9a8c\u8bc1\u6b63\u786e\u6027\uff09\uff1a\n```python\n# \u793a\u4f8b\uff1a\u5728tests/\u76ee\u5f55\u4e0b\u521b\u5efa\u6d4b\u8bd5\u6587\u4ef6\ndef python_prototype(data):\n \"\"\"Python\u5b9e\u73b0\u7248\u672c\uff0c\u7528\u4e8e\u9a8c\u8bc1\u6b63\u786e\u6027\"\"\"\n # \u5b9e\u73b0\u7b97\u6cd5\u903b\u8f91\n return result\n```\n\n#### \u7b2c\u4e8c\u6b65\uff1aRust\u5b9e\u73b0\n\n1. **\u521b\u5efa\u6216\u4fee\u6539Rust\u6a21\u5757**\uff08\u63a8\u8350\u521b\u5efa\u65b0\u6587\u4ef6\uff09\uff1a\n```rust\n// src/your_module/your_function.rs\nuse pyo3::prelude::*;\nuse numpy::{PyArray1, PyReadonlyArray1};\n\n#[pyfunction]\npub fn your_function_name(\n input: PyReadonlyArray1<f64>,\n param: f64,\n) -> PyResult<Py<PyArray1<f64>>> {\n // Rust\u5b9e\u73b0\n // \u6ce8\u610f\uff1a\u6dfb\u52a0\u8fb9\u754c\u68c0\u67e5\u548c\u9519\u8bef\u5904\u7406\n todo!()\n}\n```\n\n2. **\u5728\u6a21\u5757\u4e2d\u58f0\u660e\u51fd\u6570**\uff1a\n```rust\n// src/your_new_module/mod.rs\npub mod your_function;\npub use your_function::*;\n```\n\n3. **\u5728lib.rs\u4e2d\u6dfb\u52a0\u6a21\u5757\u548c\u5bfc\u51fa\u51fd\u6570**\uff1a\n```rust\n// src/lib.rs \n// \u6dfb\u52a0\u6a21\u5757\u58f0\u660e\uff08\u6587\u4ef6\u9876\u90e8\u9644\u8fd1\uff09\nmod your_new_module;\n\n// \u5728#[pymodule]\u51fd\u6570\u4e2d\u5bfc\u51fa\uff08\u7ea621-65\u884c\uff09\n#[pymodule]\nfn rust_pyfunc(_py: Python, m: &PyModule) -> PyResult<()> {\n // ... existing functions ...\n m.add_function(wrap_pyfunction!(your_new_module::your_function_name, m)?)?;\n Ok(())\n}\n```\n\n**\u65b0\u6a21\u5757\u7684\u5b8c\u6574\u7ed3\u6784**\uff1a\n```\nsrc/your_new_module/\n\u251c\u2500\u2500 mod.rs # \u6a21\u5757\u58f0\u660e\u6587\u4ef6\n\u251c\u2500\u2500 your_function.rs # \u5177\u4f53\u51fd\u6570\u5b9e\u73b0\n\u2514\u2500\u2500 utils.rs # \uff08\u53ef\u9009\uff09\u8f85\u52a9\u51fd\u6570\n```\n\n#### \u7b2c\u4e09\u6b65\uff1a\u6dfb\u52a0\u7c7b\u578b\u63d0\u793a\n\n**\u521b\u5efa\u65b0\u7684\u7c7b\u578b\u63d0\u793a\u6587\u4ef6**\uff08\u5982\u679c\u662f\u65b0\u6a21\u5757\uff09\uff1a\n```python\n# python/rust_pyfunc/your_new_module.pyi\n\"\"\"Your new module type hints\"\"\"\nfrom typing import Optional\nimport numpy as np\nfrom numpy.typing import NDArray\n\ndef your_function_name(\n input: NDArray[np.float64],\n param: float,\n) -> NDArray[np.float64]:\n \"\"\"\u8be6\u7ec6\u7684\u51fd\u6570\u6587\u6863\n \n \u53c2\u6570\u8bf4\u660e\uff1a\n ----------\n input : NDArray[np.float64]\n \u8f93\u5165\u6570\u636e\u63cf\u8ff0\n param : float\n \u53c2\u6570\u63cf\u8ff0\n \n \u8fd4\u56de\u503c\uff1a\n -------\n NDArray[np.float64]\n \u8fd4\u56de\u503c\u63cf\u8ff0\n \n \u793a\u4f8b\uff1a\n -------\n >>> import rust_pyfunc as rp\n >>> result = rp.your_function_name(data, 1.5)\n \"\"\"\n ...\n```\n\n\u5982\u679c\u662f\u52a0\u5165\u73b0\u6709\u6a21\u5757\uff0c\u5219\u5728\u5bf9\u5e94\u7684.pyi\u6587\u4ef6\u4e2d\u6dfb\u52a0\u51fd\u6570\u58f0\u660e\u5373\u53ef\u3002\n\n#### \u7b2c\u56db\u6b65\uff1a\u7f16\u5199\u6d4b\u8bd5\n\n**\u5728tests/\u76ee\u5f55\u4e0b\u521b\u5efa\u6d4b\u8bd5\u6587\u4ef6**\uff1a\n```python\n# tests/test_your_function.py\nimport numpy as np\nimport rust_pyfunc as rp\nimport time\n\ndef python_reference_implementation(data, param=1.5):\n \"\"\"Python\u53c2\u8003\u5b9e\u73b0 - \u5fc5\u987b\u5148\u5b9e\u73b0\u8fd9\u4e2a\uff01\n \n \u8fd9\u4e2a\u51fd\u6570\u662f\u9a8c\u8bc1Rust\u5b9e\u73b0\u6b63\u786e\u6027\u7684\u91d1\u6807\u51c6\u3002\n \u8bf7\u7528\u6700\u76f4\u89c2\u3001\u6700\u5bb9\u6613\u7406\u89e3\u7684\u65b9\u5f0f\u5b9e\u73b0\u7b97\u6cd5\u903b\u8f91\u3002\n \"\"\"\n import numpy as np\n # \u8fd9\u91cc\u5b9e\u73b0\u4f60\u7684\u7b97\u6cd5\u903b\u8f91\n # \u4f8b\u5982\uff1a\u8ba1\u7b97\u67d0\u79cd\u79fb\u52a8\u5e73\u5747\n result = []\n for i in range(len(data)):\n if i == 0:\n result.append(data[i])\n else:\n # \u6307\u6570\u79fb\u52a8\u5e73\u5747\u793a\u4f8b\n result.append(param * data[i] + (1 - param) * result[-1])\n return np.array(result)\n\ndef test_correctness():\n \"\"\"\u6b63\u786e\u6027\u9a8c\u8bc1 - \u6700\u91cd\u8981\u7684\u6d4b\u8bd5\uff01\"\"\"\n # \u751f\u6210\u591a\u79cd\u6d4b\u8bd5\u6570\u636e\n test_cases = [\n np.random.randn(100), # \u968f\u673a\u6570\u636e\n np.arange(50, dtype=float), # \u9012\u589e\u5e8f\u5217\n np.ones(30) * 5.0, # \u5e38\u6570\u5e8f\u5217\n np.array([1.0, -1.0] * 25), # \u4ea4\u66ff\u5e8f\u5217\n ]\n \n for i, data in enumerate(test_cases):\n print(f\"\ud83e\uddea \u6d4b\u8bd5\u7528\u4f8b {i+1}: \u957f\u5ea6={len(data)}\")\n \n # Python\u53c2\u8003\u5b9e\u73b0\n python_result = python_reference_implementation(data, 1.5)\n \n # Rust\u5b9e\u73b0\n rust_result = rp.your_function_name(data, 1.5)\n \n # \u4e25\u683c\u6bd4\u8f83\u7ed3\u679c\n np.testing.assert_allclose(\n rust_result, python_result, \n rtol=1e-12, atol=1e-15,\n err_msg=f\"\u6d4b\u8bd5\u7528\u4f8b {i+1} \u5931\u8d25\"\n )\n print(f\" \u2705 \u6d4b\u8bd5\u7528\u4f8b {i+1} \u901a\u8fc7\")\n \n print(\"\ud83c\udf89 \u6240\u6709\u6b63\u786e\u6027\u6d4b\u8bd5\u901a\u8fc7\uff01\")\n\ndef test_performance():\n \"\"\"\u6027\u80fd\u5bf9\u6bd4\u6d4b\u8bd5 - \u5c55\u793aRust\u7684\u4f18\u52bf\"\"\"\n print(\"\ud83c\udfc3\u200d\u2642\ufe0f \u5f00\u59cb\u6027\u80fd\u6d4b\u8bd5...\")\n \n # \u591a\u79cd\u89c4\u6a21\u7684\u6d4b\u8bd5\u6570\u636e\n test_sizes = [1000, 10000, 100000]\n \n for size in test_sizes:\n print(f\"\\n\ud83d\udcca \u6d4b\u8bd5\u6570\u636e\u89c4\u6a21: {size:,} \u4e2a\u5143\u7d20\")\n data = np.random.randn(size)\n \n # \u9884\u70ed\uff08\u907f\u514d\u9996\u6b21\u8c03\u7528\u7684\u5f00\u9500\uff09\n _ = python_reference_implementation(data[:100])\n _ = rp.your_function_name(data[:100], 1.5)\n \n # \u6d4b\u8bd5Python\u7248\u672c\n print(\" \u23f1\ufe0f \u6d4b\u8bd5Python\u5b9e\u73b0...\")\n python_times = []\n for _ in range(10): # \u591a\u6b21\u6d4b\u8bd5\u53d6\u5e73\u5747\n start = time.perf_counter()\n python_result = python_reference_implementation(data, 1.5)\n python_times.append(time.perf_counter() - start)\n avg_python_time = sum(python_times) / len(python_times)\n \n # \u6d4b\u8bd5Rust\u7248\u672c\n print(\" \u26a1 \u6d4b\u8bd5Rust\u5b9e\u73b0...\")\n rust_times = []\n for _ in range(10): # \u591a\u6b21\u6d4b\u8bd5\u53d6\u5e73\u5747\n start = time.perf_counter()\n rust_result = rp.your_function_name(data, 1.5)\n rust_times.append(time.perf_counter() - start)\n avg_rust_time = sum(rust_times) / len(rust_times)\n \n # \u8ba1\u7b97\u6027\u80fd\u63d0\u5347\n speedup = avg_python_time / avg_rust_time\n \n print(f\" \ud83d\udcc8 Python: {avg_python_time*1000:.2f}ms\")\n print(f\" \ud83d\ude80 Rust: {avg_rust_time*1000:.2f}ms\")\n print(f\" \u26a1 \u52a0\u901f\u6bd4: {speedup:.1f}x\")\n \n # \u9a8c\u8bc1\u7ed3\u679c\u4e00\u81f4\u6027\n np.testing.assert_allclose(rust_result, python_result, rtol=1e-10)\n print(f\" \u2705 \u7ed3\u679c\u9a8c\u8bc1\u901a\u8fc7\")\n \n print(f\"\\n\ud83c\udfaf \u6027\u80fd\u6d4b\u8bd5\u5b8c\u6210\uff01Rust\u5b9e\u73b0\u5c55\u73b0\u4e86\u663e\u8457\u7684\u6027\u80fd\u4f18\u52bf\u3002\")\n\nif __name__ == \"__main__\":\n test_correctness()\n test_performance()\n```\n\n#### \u7b2c\u4e94\u6b65\uff1a\u6784\u5efa\u548c\u6d4b\u8bd5\n\n```bash\n# \u6784\u5efa\u9879\u76ee\nmaturin develop\n# \u6216\u4f7f\u7528\u9879\u76ee\u7684\u5feb\u6377\u811a\u672c\n./alter.sh 2>&1\n\n# \u8fd0\u884c\u6d4b\u8bd5\npython tests/test_your_function.py\n\n# \u9a8c\u8bc1\u5bfc\u5165\npython -c \"import rust_pyfunc as rp; print('\u2705 \u6a21\u5757\u5bfc\u5165\u6210\u529f')\"\npython -c \"import rust_pyfunc as rp; print(dir(rp))\" # \u67e5\u770b\u6240\u6709\u53ef\u7528\u51fd\u6570\n```\n\n**\u91cd\u8981\u63d0\u9192**\uff1a\n- \u26a0\ufe0f **\u5fc5\u987b\u5148\u5199Python\u53c2\u8003\u5b9e\u73b0**\uff0c\u7528\u4e8e\u9a8c\u8bc1Rust\u7248\u672c\u7684\u6b63\u786e\u6027\n- \ud83e\uddea **\u591a\u79cd\u6d4b\u8bd5\u7528\u4f8b**\uff1a\u968f\u673a\u6570\u636e\u3001\u8fb9\u754c\u6761\u4ef6\u3001\u7279\u6b8a\u503c\n- \u26a1 **\u6027\u80fd\u6d4b\u8bd5**\uff1a\u5c55\u793aRust\u76f8\u5bf9\u4e8ePython\u7684\u52a0\u901f\u6548\u679c\n- \ud83d\udcdd **\u8be6\u7ec6\u6587\u6863**\uff1a\u51fd\u6570\u7528\u9014\u3001\u53c2\u6570\u3001\u8fd4\u56de\u503c\u3001\u4f7f\u7528\u793a\u4f8b\n\n### \u4ee3\u7801\u89c4\u8303\n\n#### Rust\u4ee3\u7801\u89c4\u8303\n\n```rust\n// \u2705 \u597d\u7684\u793a\u4f8b\n#[pyfunction]\npub fn calculate_moving_average(\n data: PyReadonlyArray1<f64>,\n window: usize,\n) -> PyResult<Py<PyArray1<f64>>> {\n let data = data.as_array();\n let n = data.len();\n \n // \u8fb9\u754c\u68c0\u67e5\n if window == 0 || window > n {\n return Err(PyErr::new::<pyo3::exceptions::PyValueError, _>(\n \"\u7a97\u53e3\u5927\u5c0f\u5fc5\u987b\u57281\u5230\u6570\u636e\u957f\u5ea6\u4e4b\u95f4\"\n ));\n }\n \n let mut result = Vec::with_capacity(n - window + 1);\n \n // \u4f7f\u7528\u8fed\u4ee3\u5668\u548c\u5e76\u884c\u5904\u7406\uff08\u5982\u679c\u9002\u7528\uff09\n for i in 0..=(n - window) {\n let sum: f64 = data.slice(s![i..i + window]).sum();\n result.push(sum / window as f64);\n }\n \n Python::with_gil(|py| {\n Ok(PyArray1::from_vec(py, result).to_owned())\n })\n}\n```\n\n#### \u5fc5\u987b\u9075\u5faa\u7684\u5b89\u5168\u89c4\u8303\n\n1. **\u8fb9\u754c\u68c0\u67e5**: \u6240\u6709\u6570\u7ec4\u8bbf\u95ee\u90fd\u8981\u68c0\u67e5\u8fb9\u754c\n2. **\u9519\u8bef\u5904\u7406**: \u4f7f\u7528`PyResult`\u548c\u9002\u5f53\u7684\u9519\u8bef\u7c7b\u578b\n3. **\u5185\u5b58\u7ba1\u7406**: \u907f\u514d\u5185\u5b58\u6cc4\u6f0f\uff0c\u6b63\u786e\u4f7f\u7528`Python::with_gil`\n4. **\u5e76\u53d1\u5b89\u5168**: \u5982\u679c\u4f7f\u7528\u5e76\u884c\uff0c\u786e\u4fdd\u7ebf\u7a0b\u5b89\u5168\n\n#### \u6027\u80fd\u4f18\u5316\u5efa\u8bae\n\n```rust\n// \u4f7f\u7528rayon\u5e76\u884c\u5904\u7406\nuse rayon::prelude::*;\n\n// \u5e76\u884c\u7248\u672c\nlet result: Vec<f64> = (0..=n-window)\n .into_par_iter()\n .map(|i| {\n let sum: f64 = data.slice(s![i..i + window]).sum();\n sum / window as f64\n })\n .collect();\n```\n\n### \u6587\u6863\u8981\u6c42\n\n\u6bcf\u4e2a\u51fd\u6570\u90fd\u9700\u8981\u5305\u542b\uff1a\n\n1. **\u529f\u80fd\u63cf\u8ff0**: \u6e05\u6670\u8bf4\u660e\u51fd\u6570\u7528\u9014\n2. **\u53c2\u6570\u8bf4\u660e**: \u6bcf\u4e2a\u53c2\u6570\u7684\u7c7b\u578b\u3001\u542b\u4e49\u3001\u7ea6\u675f\n3. **\u8fd4\u56de\u503c\u8bf4\u660e**: \u8fd4\u56de\u503c\u7c7b\u578b\u548c\u542b\u4e49\n4. **\u6027\u80fd\u7279\u6027**: \u65f6\u95f4\u590d\u6742\u5ea6\u3001\u9884\u671f\u901f\u5ea6\u63d0\u5347\n5. **\u4f7f\u7528\u793a\u4f8b**: \u81f3\u5c112\u4e2a\u5b9e\u9645\u4f7f\u7528\u6848\u4f8b\n6. **\u6ce8\u610f\u4e8b\u9879**: \u4f7f\u7528\u9650\u5236\u3001\u8fb9\u754c\u6761\u4ef6\n\n### \u8d21\u732e\u6d41\u7a0b\uff08Fork + Pull Request\uff09\n\n#### \u7b2c\u4e00\u6b65\uff1aFork\u548c\u8bbe\u7f6e\n\n```bash\n# 1. \u5728GitHub\u4e0aFork\u9879\u76ee\n# \u8bbf\u95ee https://github.com/chen-001/rust_pyfunc\n# \u70b9\u51fb\u53f3\u4e0a\u89d2\u7684 \"Fork\" \u6309\u94ae\n\n# 2. \u514b\u9686\u4f60\u7684Fork\u5230\u672c\u5730\ngit clone https://github.com/your-username/rust_pyfunc.git\ncd rust_pyfunc\n\n# 3. \u6dfb\u52a0\u539f\u4ed3\u5e93\u4e3aupstream\uff08\u4fdd\u6301\u540c\u6b65\u7528\uff09\ngit remote add upstream https://github.com/chen-001/rust_pyfunc.git\n\n# 4. \u9a8c\u8bc1\u8fdc\u7a0b\u4ed3\u5e93\u914d\u7f6e\ngit remote -v\n# origin https://github.com/your-username/rust_pyfunc.git (fetch)\n# origin https://github.com/your-username/rust_pyfunc.git (push)\n# upstream https://github.com/chen-001/rust_pyfunc.git (fetch)\n# upstream https://github.com/chen-001/rust_pyfunc.git (push)\n```\n\n#### \u7b2c\u4e8c\u6b65\uff1a\u521b\u5efa\u529f\u80fd\u5206\u652f\n\n```bash\n# 1. \u786e\u4fdd\u5728main\u5206\u652f\u4e14\u662f\u6700\u65b0\u7684\ngit checkout main\ngit pull upstream main\n\n# 2. \u521b\u5efa\u5e76\u5207\u6362\u5230\u529f\u80fd\u5206\u652f\ngit checkout -b feature/your-function-name\n# \u6216\u8005\u521b\u5efa\u4fee\u590d\u5206\u652f\ngit checkout -b fix/issue-description\n```\n\n#### \u7b2c\u4e09\u6b65\uff1a\u5f00\u53d1\u548c\u63d0\u4ea4\n\n```bash\n# \u5f00\u53d1\u4f60\u7684\u529f\u80fd...\n# \u6309\u7167\u524d\u9762\u7684\u6b65\u9aa4\u6dfb\u52a0Rust\u5b9e\u73b0\u3001\u7c7b\u578b\u63d0\u793a\u3001\u6d4b\u8bd5\u7b49\n\n# \u5206\u9636\u6bb5\u63d0\u4ea4\uff0c\u4fdd\u6301\u63d0\u4ea4\u5386\u53f2\u6e05\u6670\ngit add src/your_new_module/\ngit commit -m \"feat: \u6dfb\u52a0your_function_name\u7684Rust\u5b9e\u73b0\n\n- \u5b9e\u73b0\u9ad8\u6027\u80fd\u7b97\u6cd5XYZ\n- \u652f\u6301\u591a\u79cd\u6570\u636e\u7c7b\u578b\u8f93\u5165\n- \u5305\u542b\u5b8c\u6574\u7684\u9519\u8bef\u5904\u7406\"\n\ngit add python/rust_pyfunc/your_new_module.pyi\ngit commit -m \"docs: \u6dfb\u52a0your_function_name\u7684\u7c7b\u578b\u63d0\u793a\n\n- \u5b8c\u6574\u7684\u51fd\u6570\u7b7e\u540d\u548c\u6587\u6863\n- \u8be6\u7ec6\u7684\u53c2\u6570\u8bf4\u660e\u548c\u793a\u4f8b\"\n\ngit add tests/test_your_function.py\ngit commit -m \"test: \u6dfb\u52a0your_function_name\u7684\u6d4b\u8bd5\n\n- \u6b63\u786e\u6027\u9a8c\u8bc1\u6d4b\u8bd5\n- \u591a\u573a\u666f\u6027\u80fd\u5bf9\u6bd4\u6d4b\u8bd5\n- \u8fb9\u754c\u6761\u4ef6\u6d4b\u8bd5\"\n```\n\n#### \u7b2c\u56db\u6b65\uff1a\u6d4b\u8bd5\u548c\u9a8c\u8bc1\n\n```bash\n# \u6784\u5efa\u9879\u76ee\nmaturin develop\n\n# \u8fd0\u884c\u4f60\u7684\u6d4b\u8bd5\npython tests/test_your_function.py\n\n# \u8fd0\u884c\u6240\u6709\u6d4b\u8bd5\uff08\u786e\u4fdd\u6ca1\u6709\u7834\u574f\u73b0\u6709\u529f\u80fd\uff09\npython -m pytest tests/ -v\n\n# \u68c0\u67e5\u4ee3\u7801\u683c\u5f0f\uff08\u5982\u679c\u9879\u76ee\u6709linting\u914d\u7f6e\uff09\ncargo fmt --check\ncargo clippy\n```\n\n#### \u7b2c\u4e94\u6b65\uff1a\u63a8\u9001\u548c\u521b\u5efaPull Request\n\n```bash\n# \u63a8\u9001\u5230\u4f60\u7684Fork\ngit push origin feature/your-function-name\n\n# \u5982\u679c\u662f\u7b2c\u4e00\u6b21\u63a8\u9001\u8fd9\u4e2a\u5206\u652f\ngit push -u origin feature/your-function-name\n```\n\n\u7136\u540e\u5728GitHub\u4e0a\uff1a\n1. \u8bbf\u95ee\u4f60\u7684Fork\u9875\u9762\n2. GitHub\u4f1a\u63d0\u793a\u521b\u5efaPull Request\uff0c\u70b9\u51fb \"Compare & pull request\"\n3. \u586b\u5199PR\u4fe1\u606f\uff08\u89c1\u4e0b\u9762\u7684\u6a21\u677f\uff09\n\n#### Pull Request\u6a21\u677f\n\n**\u6807\u9898\u683c\u5f0f**\uff1a\n- `feat: \u6dfb\u52a0your_function_name\u51fd\u6570` \uff08\u65b0\u529f\u80fd\uff09\n- `fix: \u4fee\u590dissue_description` \uff08bug\u4fee\u590d\uff09\n- `docs: \u6539\u8fdbdocumentation_part` \uff08\u6587\u6863\u6539\u8fdb\uff09\n- `test: \u6dfb\u52a0test_description` \uff08\u6d4b\u8bd5\u6539\u8fdb\uff09\n\n**PR\u63cf\u8ff0\u6a21\u677f**\uff1a\n```markdown\n## \ud83d\udcdd \u53d8\u66f4\u63cf\u8ff0\n\u7b80\u8981\u63cf\u8ff0\u6b64PR\u7684\u76ee\u7684\u548c\u5b9e\u73b0\u7684\u529f\u80fd\n\n## \u2728 \u65b0\u589e\u529f\u80fd\n- \u5b9e\u73b0\u4e86\u9ad8\u6027\u80fd\u7684XXX\u7b97\u6cd5\n- \u652f\u6301YYY\u6570\u636e\u7c7b\u578b\n- \u63d0\u4f9bZZZ\u63a5\u53e3\n\n## \ud83d\ude80 \u6027\u80fd\u63d0\u5347\n- \u76f8\u6bd4Python\u5b9e\u73b0\u63d0\u5347 XX \u500d\n- \u5904\u7406100\u4e07\u6570\u636e\u70b9\u4ec5\u9700 XX ms\n- \u5185\u5b58\u4f7f\u7528\u51cf\u5c11 XX%\n\n## \ud83e\uddea \u6d4b\u8bd5\u60c5\u51b5\n- [x] \u6b63\u786e\u6027\u6d4b\u8bd5\u901a\u8fc7\n- [x] \u6027\u80fd\u6d4b\u8bd5\u5b8c\u6210\n- [x] \u8fb9\u754c\u6761\u4ef6\u6d4b\u8bd5\n- [x] \u73b0\u6709\u529f\u80fd\u56de\u5f52\u6d4b\u8bd5\n\n## \ud83d\udcca \u6027\u80fd\u6d4b\u8bd5\u7ed3\u679c\n```\n\u6570\u636e\u89c4\u6a21 | Python\u65f6\u95f4 | Rust\u65f6\u95f4 | \u52a0\u901f\u6bd4\n----------|-----------|----------|-------\n1,000 | 10.5ms | 0.8ms | 13.1x\n10,000 | 105ms | 7.2ms | 14.6x\n100,000 | 1.05s | 72ms | 14.6x\n```\n\n## \ud83d\udd17 \u76f8\u5173Issue\n\u4fee\u590d #issue_number \uff08\u5982\u679c\u6709\u76f8\u5173issue\uff09\n\n## \u2705 \u68c0\u67e5\u6e05\u5355\n- [x] \u4ee3\u7801\u7f16\u8bd1\u901a\u8fc7\n- [x] \u6240\u6709\u6d4b\u8bd5\u901a\u8fc7\n- [x] \u6dfb\u52a0\u4e86\u7c7b\u578b\u63d0\u793a\n- [x] \u66f4\u65b0\u4e86\u6587\u6863\n- [x] \u9075\u5faa\u4e86\u4ee3\u7801\u89c4\u8303\n```\n\n### \u793a\u4f8b\uff1a\u5b8c\u6574\u7684\u8d21\u732e\u6d41\u7a0b\n\n\u5047\u8bbe\u6211\u4eec\u8981\u6dfb\u52a0\u4e00\u4e2a\u8ba1\u7b97\u6307\u6570\u79fb\u52a8\u5e73\u5747(EMA)\u7684\u51fd\u6570\uff0c\u5b8c\u6574\u7684\u8d21\u732e\u8fc7\u7a0b\u5982\u4e0b\uff1a\n\n#### \u51c6\u5907\u9636\u6bb5\n```bash\n# 1. Fork\u9879\u76ee\u5e76\u514b\u9686\ngit clone https://github.com/your-username/rust_pyfunc.git\ncd rust_pyfunc\ngit remote add upstream https://github.com/chen-001/rust_pyfunc.git\n\n# 2. \u521b\u5efa\u529f\u80fd\u5206\u652f\ngit checkout main\ngit pull upstream main\ngit checkout -b feature/exponential-moving-average\n```\n\n#### \u5f00\u53d1\u9636\u6bb5\n```bash\n# 3. \u521b\u5efa\u65b0\u6a21\u5757\u7ed3\u6784\nmkdir -p src/moving_averages\ntouch src/moving_averages/mod.rs\ntouch src/moving_averages/ema.rs\n\n# 4. \u5b9e\u73b0Python\u53c2\u8003\u7248\u672c\uff08\u91cd\u8981\uff01\uff09\n# tests/test_ema.py - \u5148\u5199Python\u5b9e\u73b0\u7528\u4e8e\u9a8c\u8bc1\n```\n\n**Python\u53c2\u8003\u5b9e\u73b0**\uff1a\n```python\n# tests/test_ema.py\nimport numpy as np\n\ndef python_ema(data, alpha=0.1):\n \"\"\"Python\u53c2\u8003\u5b9e\u73b0 - \u6307\u6570\u79fb\u52a8\u5e73\u5747\"\"\"\n result = np.zeros_like(data)\n result[0] = data[0]\n for i in range(1, len(data)):\n result[i] = alpha * data[i] + (1 - alpha) * result[i-1]\n return result\n```\n\n**Rust\u5b9e\u73b0**\uff1a\n```rust\n// src/moving_averages/ema.rs\nuse pyo3::prelude::*;\nuse numpy::{PyArray1, PyReadonlyArray1};\n\n#[pyfunction]\npub fn exponential_moving_average(\n data: PyReadonlyArray1<f64>,\n alpha: f64,\n) -> PyResult<Py<PyArray1<f64>>> {\n let data = data.as_array();\n let n = data.len();\n \n if alpha <= 0.0 || alpha > 1.0 {\n return Err(PyErr::new::<pyo3::exceptions::PyValueError, _>(\n \"alpha\u5fc5\u987b\u5728(0, 1]\u8303\u56f4\u5185\"\n ));\n }\n \n let mut result = Vec::with_capacity(n);\n if n > 0 {\n result.push(data[0]);\n for i in 1..n {\n let ema = alpha * data[i] + (1.0 - alpha) * result[i-1];\n result.push(ema);\n }\n }\n \n Python::with_gil(|py| {\n Ok(PyArray1::from_vec(py, result).to_owned())\n })\n}\n```\n\n#### \u96c6\u6210\u548c\u6d4b\u8bd5\n```bash\n# 5. \u6dfb\u52a0\u5230\u6a21\u5757\u7cfb\u7edf\necho \"pub mod ema;\" >> src/moving_averages/mod.rs\necho \"pub use ema::*;\" >> src/moving_averages/mod.rs\n\n# \u5728src/lib.rs\u4e2d\u6dfb\u52a0\n# mod moving_averages;\n# m.add_function(wrap_pyfunction!(moving_averages::exponential_moving_average, m)?)?;\n\n# 6. \u521b\u5efa\u7c7b\u578b\u63d0\u793a\u6587\u4ef6\n# python/rust_pyfunc/moving_averages.pyi\n\n# 7. \u6784\u5efa\u548c\u6d4b\u8bd5\nmaturin develop\npython tests/test_ema.py\n\n# 8. \u5206\u9636\u6bb5\u63d0\u4ea4\ngit add src/moving_averages/\ngit commit -m \"feat: \u5b9e\u73b0\u6307\u6570\u79fb\u52a8\u5e73\u5747(EMA)\u7684Rust\u6838\u5fc3\u7b97\u6cd5\n\n- \u9ad8\u6027\u80fdEMA\u8ba1\u7b97\uff0c\u652f\u6301\u4efb\u610falpha\u53c2\u6570\n- \u5b8c\u6574\u7684\u8fb9\u754c\u68c0\u67e5\u548c\u9519\u8bef\u5904\u7406\n- \u5185\u5b58\u9ad8\u6548\u7684\u5411\u91cf\u5316\u5b9e\u73b0\"\n\ngit add python/rust_pyfunc/moving_averages.pyi\ngit commit -m \"docs: \u6dfb\u52a0EMA\u51fd\u6570\u7684\u7c7b\u578b\u63d0\u793a\u548c\u6587\u6863\n\n- \u5b8c\u6574\u7684\u51fd\u6570\u7b7e\u540d\u548c\u53c2\u6570\u8bf4\u660e\n- \u8be6\u7ec6\u7684\u4f7f\u7528\u793a\u4f8b\u548c\u6ce8\u610f\u4e8b\u9879\"\n\ngit add tests/test_ema.py\ngit commit -m \"test: \u6dfb\u52a0EMA\u51fd\u6570\u7684\u5b8c\u6574\u6d4b\u8bd5\u5957\u4ef6\n\n- Python\u53c2\u8003\u5b9e\u73b0\u7528\u4e8e\u6b63\u786e\u6027\u9a8c\u8bc1\n- \u591a\u89c4\u6a21\u6027\u80fd\u57fa\u51c6\u6d4b\u8bd5\n- \u8fb9\u754c\u6761\u4ef6\u548c\u9519\u8bef\u5904\u7406\u6d4b\u8bd5\n- \u6d4b\u8bd5\u7ed3\u679c\uff1a\u6bd4\u7eafPython\u5b9e\u73b0\u5feb25\u500d\"\n```\n\n#### \u63d0\u4ea4PR\n```bash\n# 9. \u63a8\u9001\u5230\u4f60\u7684Fork\ngit push -u origin feature/exponential-moving-average\n\n# 10. \u5728GitHub\u4e0a\u521b\u5efaPull Request\n# \u6807\u9898\uff1afeat: \u6dfb\u52a0\u6307\u6570\u79fb\u52a8\u5e73\u5747(EMA)\u8ba1\u7b97\u51fd\u6570\n# \u4f7f\u7528\u524d\u9762\u63d0\u4f9b\u7684PR\u6a21\u677f\u586b\u5199\u63cf\u8ff0\n```\n\n**\u9884\u671f\u6027\u80fd\u6d4b\u8bd5\u7ed3\u679c**\uff1a\n```\n\ud83d\udcca EMA\u6027\u80fd\u6d4b\u8bd5\u7ed3\u679c:\n\u6570\u636e\u89c4\u6a21 | Python\u65f6\u95f4 | Rust\u65f6\u95f4 | \u52a0\u901f\u6bd4\n----------|-----------|----------|-------\n1,000 | 2.1ms | 0.08ms | 26.3x\n10,000 | 21ms | 0.8ms | 26.3x\n100,000 | 210ms | 8ms | 26.3x\n```\n\n\u8fd9\u4e2a\u5b8c\u6574\u793a\u4f8b\u5c55\u793a\u4e86\uff1a\n- \u2705 Fork + PR\u7684\u6807\u51c6\u534f\u4f5c\u6d41\u7a0b\n- \u2705 \u521b\u5efa\u65b0\u6a21\u5757\u7684\u5b8c\u6574\u8fc7\u7a0b\n- \u2705 Python\u53c2\u8003\u5b9e\u73b0\u7684\u91cd\u8981\u6027\n- \u2705 \u5206\u9636\u6bb5\u6e05\u6670\u7684git\u63d0\u4ea4\u5386\u53f2\n- \u2705 \u5b8c\u6574\u7684\u6d4b\u8bd5\u548c\u9a8c\u8bc1\u6d41\u7a0b\n\n### \u8d21\u732e\u8005\u652f\u6301\n\n\u5982\u679c\u5728\u8d21\u732e\u8fc7\u7a0b\u4e2d\u9047\u5230\u95ee\u9898\uff1a\n\n1. **\u67e5\u770b\u73b0\u6709\u4ee3\u7801**: \u53c2\u8003`src/time_series/`\u7b49\u6a21\u5757\u7684\u5b9e\u73b0\n2. **\u8fd0\u884c\u6d4b\u8bd5**: \u4f7f\u7528`python -m pytest tests/`\u68c0\u67e5\u56de\u5f52\n3. **\u6027\u80fd\u5206\u6790**: \u4f7f\u7528`criterion`\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\n4. **\u63d0\u51faIssue**: \u5728GitHub\u4e0a\u63cf\u8ff0\u9047\u5230\u7684\u95ee\u9898\n\n\u6211\u4eec\u6b22\u8fce\u4efb\u4f55\u5f62\u5f0f\u7684\u8d21\u732e\uff0c\u4ecebug\u4fee\u590d\u5230\u65b0\u529f\u80fd\u5b9e\u73b0\uff01\n\n## License\n\nMIT License\n\n",
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