<h1 align="center">
<img src="docs/assets/logo.png" alt="Kand Logo" width="250">
</h1>
<div align="center">
<a href="https://crates.io/crates/kand">
<img src="https://img.shields.io/crates/v/kand.svg" alt="Crates.io"/>
</a>
<a href="https://docs.rs/kand">
<img src="https://docs.rs/kand/badge.svg" alt="Docs.rs"/>
</a>
<a href="https://pypi.python.org/pypi/kand">
<img src="https://img.shields.io/pypi/v/kand.svg" alt="PyPI Version"/>
</a>
<a href="https://pypi.python.org/pypi/kand">
<img src="https://img.shields.io/pypi/pyversions/kand.svg" alt="Python Versions"/>
</a>
<a href="https://github.com/rust-ta/kand/actions/workflows/CI.yml">
<img src="https://github.com/rust-ta/kand/actions/workflows/CI.yml/badge.svg" alt="CI Status"/>
</a>
<a href="https://pypi.python.org/pypi/kand">
<img src="https://img.shields.io/pypi/l/kand.svg" alt="License"/>
</a>
</div>
<p align="center">
<b>Documentation</b>:
<a href="https://docs.rs/kand">Rust</a>
-
<a href="https://rust-ta.github.io/kand/">Python</a>
|
<b>Repository</b>:
<a href="https://github.com/rust-ta/kand">GitHub</a>
</p>
<h2 align="center">
<b>Kand: A Blazingly Fast Technical Analysis Library, written in Rust.</b>
</h2>
> ⚠️ **Development Status**: This project is under active development. APIs may change, and some features might not be fully implemented or tested yet. Contributions and feedback are welcome!
<p align="center">
<picture align="center">
<img alt="EMA Performance Comparison" src="docs/assets/bench_ema.png" width="600">
</picture>
</p>
<p align="center">
<i>EMA calculation performance comparison across different implementations.</i>
</p>
## Why Kand?
- **⚡ Unmatched Performance**
Built in Rust, delivering blazing speed and memory safety, rivaling TALib’s peak.
- **🔓 Multithreading Unleashed**
Breaks free from Python’s GIL, enabling seamless parallel processing beyond single-threaded limits.
- **⚙️ Real-Time Incremental Core**
O(1) complexity updates, redefining high-efficiency computation.
- **🚀 Native Zero-Copy**
Deeply integrated with NumPy, ensuring lossless data flow at maximum speed.
- **📊 Pioneering Indicators**
Features advanced tools like TPO, VWAP, and Supertrend, pushing analysis frontiers.
- **📦 Lightweight & Effortless**
Ultra-compact package with one-line install—no bloat, no complex dependencies.
- **💻 Universal Compatibility**
Runs flawlessly across macOS, Linux, and Windows.
Dive deeper at our [official documentation](https://rust-ta.github.io/kand/about).
#### Python API
The Python interface of `kand` leverages PyO3 for ultra-low latency bindings (~7ns overhead) to the Rust core, seamlessly integrating with NumPy for zero-copy operations and true thread-safe calculations. Below are examples for batch and incremental usage.
```python
import numpy as np
from kand import ema
# Batch EMA computation with zero-copy NumPy integration
prices = np.array([10.0, 11.0, 12.0, 13.0, 14.0], dtype=np.float64)
ema_values = ema(prices, period=3)
# Incremental EMA update for streaming data
prev_ema = 13.5
new_price = 15.0
new_ema = ema_incremental(new_price, prev_ema, period=3)
```
**Key Features:**
- **Zero-Copy**: Operates directly on NumPy arrays, avoiding memory duplication.
- **GIL-Free**: Rust backend releases the Python GIL, enabling parallel execution.
- **Incremental Updates**: O(1) complexity for real-time applications.
---
#### Rust API
The Rust interface in `kand` provides a high-performance, type-safe implementation of EMA with flexible parameter control. It supports both Vec and ndarray inputs for batch and incremental calculations, as shown below.
```rust
use kand::ohlcv::ema;
use ndarray::Array1;
// Batch EMA calculation over a price series
let prices = vec![10.0, 11.0, 12.0, 13.0, 14.0];
let mut ema_values = vec![0.0; prices.len()];
ema::ema(&prices, 3, None, &mut ema_values)?;
// Batch EMA with ndarray for scientific workflows
let prices = Array1::from_vec(vec![10.0, 11.0, 12.0, 13.0, 14.0]);
let mut ema_values = Array1::zeros(prices.len());
ema::ema(&prices, 3, None, &mut ema_values)?;
// Constant-time incremental EMA update
let prev_ema = 13.5;
let new_price = 15.0;
let new_ema = ema::ema_incremental(new_price, prev_ema, 3, None)?;
```
**Key Features:**
- **Memory Efficiency**: Leverages mutable buffers (`&mut Vec<f64>` or `&mut Array1<f64>`) to store results, slashing memory allocations.
- **Error Handling**: Returns `Result<(), KandError>` or `Result<f64, KandError>` for reliable failure detection (e.g., invalid period, NaN inputs).
- **Incremental Design**: O(1) updates tailored for real-time systems.
---
## Setup
### Python
Get started with Kand in one command - no extra configuration needed:
```bash
pip install kand
```
### Rust
You can take latest release from [`crates.io`](https://crates.io/crates/kand), or if you want to use the latest features / performance improvements point to the `main` branch of this repo.
```toml
[dependencies]
kand = { git = "https://github.com/rust-ta/kand", rev = "<optional git tag>" }
```
Recommend Rust version `>=1.80`.
## Functions List
### OHLCV Based
- [x] **AD** - Chaikin A/D Line
- [x] **ADOSC** - Chaikin A/D Oscillator
- [x] **ADR** - Average Daily Range **[Untested]**
- [x] **ADX** - Average Directional Movement Index
- [x] **ADXR** - Average Directional Movement Index Rating
- [ ] **APO** - Absolute Price Oscillator
- [x] **AROON** - Aroon
- [x] **AROONOSC** - Aroon Oscillator
- [x] **ATR** - Average True Range
- [x] **BBANDS** - Bollinger Bands
- [x] **BOP** - Balance Of Power
- [x] **CCI** - Commodity Channel Index
- [x] **CDL_DOJI** - Doji
- [x] **CDL_DRAGONFLY_DOJI** - Dragonfly Doji
- [x] **CDL_GRAVESTONE_DOJI** - Gravestone Doji
- [x] **CDL_HAMMER** - Hammer
- [x] **CDL_INVERTED_HAMMER** - Inverted Hammer
- [x] **CDL_LONG_LOWER_SHADOW** - Long Lower Shadow
- [x] **CDL_LONG_UPPER_SHADOW** - Long Upper Shadow
- [x] **CDL_MARUBOZU** - Marubozu
- [ ] **CMO** - Chande Momentum Oscillator
- [x] **DEMA** - Double Exponential Moving Average
- [x] **DX** - Directional Movement Index
- [x] **EMA** - Exponential Moving Average
- [x] **ECL** - Expanded Camarilla Levels **[Untested]**
- [x] **HA** - Heikin Ashi Chart
- [ ] **HT_DCPERIOD** - Hilbert Transform - Dominant Cycle Period
- [ ] **HT_DCPHASE** - Hilbert Transform - Dominant Cycle Phase
- [ ] **HT_PHASOR** - Hilbert Transform - Phasor Components
- [ ] **HT_SINE** - Hilbert Transform - SineWave
- [ ] **HT_TRENDLINE** - Hilbert Transform - Instantaneous Trendline
- [ ] **HT_TRENDMODE** - Hilbert Transform - Trend vs Cycle Mode
- [ ] **KAMA** - Kaufman Adaptive Moving Average
- [ ] **LINEARREG** - Linear Regression
- [ ] **LINEARREG_ANGLE** - Linear Regression Angle
- [ ] **LINEARREG_INTERCEPT** - Linear Regression Intercept
- [ ] **LINEARREG_SLOPE** - Linear Regression Slope
- [x] **MACD** - Moving Average Convergence/Divergence **[Unstable]**
- [ ] **MACDEXT** - MACD with controllable MA type
- [ ] **MAMA** - MESA Adaptive Moving Average
- [x] **MEDPRICE** - Median Price
- [x] **MFI** - Money Flow Index **[No Incremental]**
- [x] **MIDPOINT** - MidPoint over period
- [x] **MIDPRICE** - Midpoint Price over period
- [x] **MINUS_DI** - Minus Directional Indicator
- [x] **MINUS_DM** - Minus Directional Movement
- [x] **MOM** - Momentum
- [x] **NATR** - Normalized Average True Range
- [x] **OBV** - On Balance Volume
- [x] **PLUS_DI** - Plus Directional Indicator
- [x] **PLUS_DM** - Plus Directional Movement
- [ ] **PPO** - Percentage Price Oscillator
- [ ] **RENKO** - Renko Chart
- [x] **RMA** - Rolling Moving Average **[Untested]**
- [x] **ROC** - Rate of change : ((price/prevPrice)-1)*100
- [x] **ROCP** - Rate of change Percentage: (price-prevPrice)/prevPrice
- [x] **ROCR** - Rate of change ratio: (price/prevPrice)
- [x] **ROCR100** - Rate of change ratio 100 scale: (price/prevPrice)*100
- [x] **RSI** - Relative Strength Index
- [x] **SAR** - Parabolic SAR
- [ ] **SAREXT** - Parabolic SAR - Extended
- [x] **SMA** - Simple Moving Average
- [x] **STOCH** - Stochastic **[No Incremental]**
- [ ] **STOCHF** - Stochastic Fast
- [ ] **STOCHRSI** - Stochastic Relative Strength Index
- [x] **SUPERTREND** - Super Trend Indicator
- [x] **T3** - Triple Exponential Moving Average (T3)
- [x] **TEMA** - Triple Exponential Moving Average
- [x] **TPO** - Time Price Opportunity
- [x] **TRANGE** - True Range
- [x] **TRIMA** - Triangular Moving Average
- [x] **TRIX** - 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA
- [ ] **TSF** - Time Series Forecast
- [x] **TYPPRICE** - Typical Price
- [ ] **ULTOSC** - Ultimate Oscillator
- [x] **VEGAS** - VEGAS Channel and Trend Boundary EMAs **[Untested]**
- [x] **VWAP** - Volume Weighted Average Price
- [x] **WCLPRICE** - Weighted Close Price
- [x] **WILLR** - Williams' %R
- [x] **WMA** - Weighted Moving Average
### Statistical Analysis
- [ ] **ALPHA** - Alpha: Measures excess returns over market
- [ ] **BETA** - Beta: Measures sensitivity to market volatility
- [ ] **CALMAR** - Calmar Ratio: Annual return to maximum drawdown ratio
- [ ] **CORREL** - Pearson's Correlation Coefficient
- [ ] **DRAWDOWN** - Maximum Drawdown: Maximum potential loss
- [ ] **KELLY** - Kelly Criterion: Optimal position sizing
- [x] **MAX** - Highest value over a specified period
- [x] **MIN** - Lowest value over a specified period
- [ ] **SHARPE** - Sharpe Ratio: Risk-adjusted return measure
- [ ] **SORTINO** - Sortino Ratio: Downside risk-adjusted returns
- [x] **STDDEV** - Standard Deviation
- [x] **SUM** - Summation
- [x] **VAR** - Variance
- [ ] **WINRATE** - Win Rate: Strategy success probability
## Contributing
We are passionate about supporting contributors of all levels of experience and would love to see
you get involved in the project. See the
[contributing guide](https://github.com/rust-ta/kand/blob/main/CONTRIBUTING.md) to get started.
## License
This project is licensed under either of the following licenses, at your option:
- Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or
<https://www.apache.org/licenses/LICENSE-2.0>)
- MIT license ([LICENSE-MIT](LICENSE-MIT) or <https://opensource.org/licenses/MIT>)
Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in kand by you, as defined in the Apache-2.0 license, shall be dually licensed as above, without any additional terms or conditions.
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"description": "<h1 align=\"center\">\n <img src=\"docs/assets/logo.png\" alt=\"Kand Logo\" width=\"250\">\n</h1>\n<div align=\"center\">\n <a href=\"https://crates.io/crates/kand\">\n <img src=\"https://img.shields.io/crates/v/kand.svg\" alt=\"Crates.io\"/>\n </a>\n <a href=\"https://docs.rs/kand\">\n <img src=\"https://docs.rs/kand/badge.svg\" alt=\"Docs.rs\"/>\n </a>\n <a href=\"https://pypi.python.org/pypi/kand\">\n <img src=\"https://img.shields.io/pypi/v/kand.svg\" alt=\"PyPI Version\"/>\n </a>\n <a href=\"https://pypi.python.org/pypi/kand\">\n <img src=\"https://img.shields.io/pypi/pyversions/kand.svg\" alt=\"Python Versions\"/>\n </a>\n <a href=\"https://github.com/rust-ta/kand/actions/workflows/CI.yml\">\n <img src=\"https://github.com/rust-ta/kand/actions/workflows/CI.yml/badge.svg\" alt=\"CI Status\"/>\n </a>\n <a href=\"https://pypi.python.org/pypi/kand\">\n <img src=\"https://img.shields.io/pypi/l/kand.svg\" alt=\"License\"/>\n </a>\n</div>\n<p align=\"center\">\n <b>Documentation</b>:\n <a href=\"https://docs.rs/kand\">Rust</a>\n -\n <a href=\"https://rust-ta.github.io/kand/\">Python</a>\n |\n <b>Repository</b>:\n <a href=\"https://github.com/rust-ta/kand\">GitHub</a>\n</p>\n<h2 align=\"center\">\n <b>Kand: A Blazingly Fast Technical Analysis Library, written in Rust.</b>\n</h2>\n\n> \u26a0\ufe0f **Development Status**: This project is under active development. APIs may change, and some features might not be fully implemented or tested yet. Contributions and feedback are welcome!\n\n<p align=\"center\">\n <picture align=\"center\">\n <img alt=\"EMA Performance Comparison\" src=\"docs/assets/bench_ema.png\" width=\"600\">\n </picture>\n</p>\n\n<p align=\"center\">\n <i>EMA calculation performance comparison across different implementations.</i>\n</p>\n\n## Why Kand?\n\n- **\u26a1 Unmatched Performance**\n Built in Rust, delivering blazing speed and memory safety, rivaling TALib\u2019s peak.\n\n- **\ud83d\udd13 Multithreading Unleashed**\n Breaks free from Python\u2019s GIL, enabling seamless parallel processing beyond single-threaded limits.\n\n- **\u2699\ufe0f Real-Time Incremental Core**\n O(1) complexity updates, redefining high-efficiency computation.\n\n- **\ud83d\ude80 Native Zero-Copy**\n Deeply integrated with NumPy, ensuring lossless data flow at maximum speed.\n\n- **\ud83d\udcca Pioneering Indicators**\n Features advanced tools like TPO, VWAP, and Supertrend, pushing analysis frontiers.\n\n- **\ud83d\udce6 Lightweight & Effortless**\n Ultra-compact package with one-line install\u2014no bloat, no complex dependencies.\n\n- **\ud83d\udcbb Universal Compatibility**\n Runs flawlessly across macOS, Linux, and Windows.\n\nDive deeper at our [official documentation](https://rust-ta.github.io/kand/about).\n\n#### Python API\n\nThe Python interface of `kand` leverages PyO3 for ultra-low latency bindings (~7ns overhead) to the Rust core, seamlessly integrating with NumPy for zero-copy operations and true thread-safe calculations. Below are examples for batch and incremental usage.\n\n```python\nimport numpy as np\nfrom kand import ema\n\n# Batch EMA computation with zero-copy NumPy integration\nprices = np.array([10.0, 11.0, 12.0, 13.0, 14.0], dtype=np.float64)\nema_values = ema(prices, period=3)\n\n# Incremental EMA update for streaming data\nprev_ema = 13.5\nnew_price = 15.0\nnew_ema = ema_incremental(new_price, prev_ema, period=3)\n```\n\n**Key Features:**\n\n- **Zero-Copy**: Operates directly on NumPy arrays, avoiding memory duplication.\n- **GIL-Free**: Rust backend releases the Python GIL, enabling parallel execution.\n- **Incremental Updates**: O(1) complexity for real-time applications.\n\n---\n\n#### Rust API\n\nThe Rust interface in `kand` provides a high-performance, type-safe implementation of EMA with flexible parameter control. It supports both Vec and ndarray inputs for batch and incremental calculations, as shown below.\n\n```rust\nuse kand::ohlcv::ema;\nuse ndarray::Array1;\n\n// Batch EMA calculation over a price series\nlet prices = vec![10.0, 11.0, 12.0, 13.0, 14.0];\nlet mut ema_values = vec![0.0; prices.len()];\nema::ema(&prices, 3, None, &mut ema_values)?;\n\n// Batch EMA with ndarray for scientific workflows\nlet prices = Array1::from_vec(vec![10.0, 11.0, 12.0, 13.0, 14.0]);\nlet mut ema_values = Array1::zeros(prices.len());\nema::ema(&prices, 3, None, &mut ema_values)?;\n\n// Constant-time incremental EMA update\nlet prev_ema = 13.5;\nlet new_price = 15.0;\nlet new_ema = ema::ema_incremental(new_price, prev_ema, 3, None)?;\n```\n\n**Key Features:**\n\n- **Memory Efficiency**: Leverages mutable buffers (`&mut Vec<f64>` or `&mut Array1<f64>`) to store results, slashing memory allocations.\n- **Error Handling**: Returns `Result<(), KandError>` or `Result<f64, KandError>` for reliable failure detection (e.g., invalid period, NaN inputs).\n- **Incremental Design**: O(1) updates tailored for real-time systems.\n\n---\n\n## Setup\n\n### Python\n\nGet started with Kand in one command - no extra configuration needed:\n\n```bash\npip install kand\n```\n\n### Rust\n\nYou can take latest release from [`crates.io`](https://crates.io/crates/kand), or if you want to use the latest features / performance improvements point to the `main` branch of this repo.\n\n```toml\n[dependencies]\nkand = { git = \"https://github.com/rust-ta/kand\", rev = \"<optional git tag>\" }\n```\n\nRecommend Rust version `>=1.80`.\n\n## Functions List\n\n### OHLCV Based\n\n- [x] **AD** - Chaikin A/D Line\n- [x] **ADOSC** - Chaikin A/D Oscillator\n- [x] **ADR** - Average Daily Range **[Untested]**\n- [x] **ADX** - Average Directional Movement Index\n- [x] **ADXR** - Average Directional Movement Index Rating\n- [ ] **APO** - Absolute Price Oscillator\n- [x] **AROON** - Aroon\n- [x] **AROONOSC** - Aroon Oscillator\n- [x] **ATR** - Average True Range\n- [x] **BBANDS** - Bollinger Bands\n- [x] **BOP** - Balance Of Power\n- [x] **CCI** - Commodity Channel Index\n- [x] **CDL_DOJI** - Doji\n- [x] **CDL_DRAGONFLY_DOJI** - Dragonfly Doji\n- [x] **CDL_GRAVESTONE_DOJI** - Gravestone Doji\n- [x] **CDL_HAMMER** - Hammer\n- [x] **CDL_INVERTED_HAMMER** - Inverted Hammer\n- [x] **CDL_LONG_LOWER_SHADOW** - Long Lower Shadow\n- [x] **CDL_LONG_UPPER_SHADOW** - Long Upper Shadow\n- [x] **CDL_MARUBOZU** - Marubozu\n- [ ] **CMO** - Chande Momentum Oscillator\n- [x] **DEMA** - Double Exponential Moving Average\n- [x] **DX** - Directional Movement Index\n- [x] **EMA** - Exponential Moving Average\n- [x] **ECL** - Expanded Camarilla Levels **[Untested]**\n- [x] **HA** - Heikin Ashi Chart\n- [ ] **HT_DCPERIOD** - Hilbert Transform - Dominant Cycle Period\n- [ ] **HT_DCPHASE** - Hilbert Transform - Dominant Cycle Phase\n- [ ] **HT_PHASOR** - Hilbert Transform - Phasor Components\n- [ ] **HT_SINE** - Hilbert Transform - SineWave\n- [ ] **HT_TRENDLINE** - Hilbert Transform - Instantaneous Trendline\n- [ ] **HT_TRENDMODE** - Hilbert Transform - Trend vs Cycle Mode\n- [ ] **KAMA** - Kaufman Adaptive Moving Average\n- [ ] **LINEARREG** - Linear Regression\n- [ ] **LINEARREG_ANGLE** - Linear Regression Angle\n- [ ] **LINEARREG_INTERCEPT** - Linear Regression Intercept\n- [ ] **LINEARREG_SLOPE** - Linear Regression Slope\n- [x] **MACD** - Moving Average Convergence/Divergence **[Unstable]**\n- [ ] **MACDEXT** - MACD with controllable MA type\n- [ ] **MAMA** - MESA Adaptive Moving Average\n- [x] **MEDPRICE** - Median Price\n- [x] **MFI** - Money Flow Index **[No Incremental]**\n- [x] **MIDPOINT** - MidPoint over period\n- [x] **MIDPRICE** - Midpoint Price over period\n- [x] **MINUS_DI** - Minus Directional Indicator\n- [x] **MINUS_DM** - Minus Directional Movement\n- [x] **MOM** - Momentum\n- [x] **NATR** - Normalized Average True Range\n- [x] **OBV** - On Balance Volume\n- [x] **PLUS_DI** - Plus Directional Indicator\n- [x] **PLUS_DM** - Plus Directional Movement\n- [ ] **PPO** - Percentage Price Oscillator\n- [ ] **RENKO** - Renko Chart\n- [x] **RMA** - Rolling Moving Average **[Untested]**\n- [x] **ROC** - Rate of change : ((price/prevPrice)-1)*100\n- [x] **ROCP** - Rate of change Percentage: (price-prevPrice)/prevPrice\n- [x] **ROCR** - Rate of change ratio: (price/prevPrice)\n- [x] **ROCR100** - Rate of change ratio 100 scale: (price/prevPrice)*100\n- [x] **RSI** - Relative Strength Index\n- [x] **SAR** - Parabolic SAR\n- [ ] **SAREXT** - Parabolic SAR - Extended\n- [x] **SMA** - Simple Moving Average\n- [x] **STOCH** - Stochastic **[No Incremental]**\n- [ ] **STOCHF** - Stochastic Fast\n- [ ] **STOCHRSI** - Stochastic Relative Strength Index\n- [x] **SUPERTREND** - Super Trend Indicator\n- [x] **T3** - Triple Exponential Moving Average (T3)\n- [x] **TEMA** - Triple Exponential Moving Average\n- [x] **TPO** - Time Price Opportunity\n- [x] **TRANGE** - True Range\n- [x] **TRIMA** - Triangular Moving Average\n- [x] **TRIX** - 1-day Rate-Of-Change (ROC) of a Triple Smooth EMA\n- [ ] **TSF** - Time Series Forecast\n- [x] **TYPPRICE** - Typical Price\n- [ ] **ULTOSC** - Ultimate Oscillator\n- [x] **VEGAS** - VEGAS Channel and Trend Boundary EMAs **[Untested]**\n- [x] **VWAP** - Volume Weighted Average Price\n- [x] **WCLPRICE** - Weighted Close Price\n- [x] **WILLR** - Williams' %R\n- [x] **WMA** - Weighted Moving Average\n\n### Statistical Analysis\n\n- [ ] **ALPHA** - Alpha: Measures excess returns over market\n- [ ] **BETA** - Beta: Measures sensitivity to market volatility\n- [ ] **CALMAR** - Calmar Ratio: Annual return to maximum drawdown ratio\n- [ ] **CORREL** - Pearson's Correlation Coefficient\n- [ ] **DRAWDOWN** - Maximum Drawdown: Maximum potential loss\n- [ ] **KELLY** - Kelly Criterion: Optimal position sizing\n- [x] **MAX** - Highest value over a specified period\n- [x] **MIN** - Lowest value over a specified period\n- [ ] **SHARPE** - Sharpe Ratio: Risk-adjusted return measure\n- [ ] **SORTINO** - Sortino Ratio: Downside risk-adjusted returns\n- [x] **STDDEV** - Standard Deviation\n- [x] **SUM** - Summation\n- [x] **VAR** - Variance\n- [ ] **WINRATE** - Win Rate: Strategy success probability\n\n## Contributing\n\nWe are passionate about supporting contributors of all levels of experience and would love to see\nyou get involved in the project. See the\n[contributing guide](https://github.com/rust-ta/kand/blob/main/CONTRIBUTING.md) to get started.\n\n\n## License\n\nThis project is licensed under either of the following licenses, at your option:\n- Apache License, Version 2.0, ([LICENSE-APACHE](LICENSE-APACHE) or\n <https://www.apache.org/licenses/LICENSE-2.0>)\n- MIT license ([LICENSE-MIT](LICENSE-MIT) or <https://opensource.org/licenses/MIT>)\n\nUnless you explicitly state otherwise, any contribution intentionally submitted for inclusion in kand by you, as defined in the Apache-2.0 license, shall be dually licensed as above, without any additional terms or conditions.\n\n",
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