chore: remove .coverage file and update .gitignore to exclude coverage files
- Deleted the .coverage file to clean up the repository. - Updated .gitignore to ensure .coverage and .coverage.* files are ignored in future commits. - Revised README.md to enhance clarity and conciseness regarding the library's capabilities and performance. - Improved documentation for the MCP server, emphasizing its expanded functionality and integration with clients.
This commit is contained in:
Pratik Bhadane
+3
-1
@@ -31,6 +31,8 @@ env/
|
||||
# WASM build output
|
||||
wasm/pkg/
|
||||
wasm/pkg-web/
|
||||
.coverage
|
||||
.coverage.*
|
||||
coverage.xml
|
||||
.hypothesis/
|
||||
|
||||
@@ -39,4 +41,4 @@ coverage.xml
|
||||
|
||||
# DS Store in all directories
|
||||
.DS_Store
|
||||
*.DS_Store
|
||||
*.DS_Store
|
||||
|
||||
@@ -0,0 +1,262 @@
|
||||
# TA-Lib Compatibility
|
||||
|
||||
`ferro-ta` covers **100% of TA-Lib's function set** (`162+` indicators). This
|
||||
file keeps the full GitHub-facing parity matrix in one place so the root
|
||||
`README.md` can stay product-focused.
|
||||
|
||||
See also:
|
||||
|
||||
- [docs/migration_talib.rst](docs/migration_talib.rst)
|
||||
- [docs/compatibility/talib.md](docs/compatibility/talib.md)
|
||||
- [docs/support_matrix.rst](docs/support_matrix.rst)
|
||||
|
||||
## Legend
|
||||
|
||||
|
||||
| Symbol | Meaning |
|
||||
| -------- | ------------------------------------------------------------------------------------------------------ |
|
||||
| ✅ Exact | Values match TA-Lib to floating-point precision |
|
||||
| ✅ Close | Values match after a short convergence window (EMA-seed difference) |
|
||||
| ⚠️ Corr | Strong correlation (> 0.95) but not numerically identical (Wilder smoothing seed or algorithm variant) |
|
||||
| ⚠️ Shape | Same output shape / NaN structure; values differ due to algorithm variant |
|
||||
| ❌ | Not yet implemented |
|
||||
|
||||
|
||||
## Overlap Studies
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------- | -------- | -------- | ----------------------------------------------------- |
|
||||
| `BBANDS` | ✅ | ✅ Exact | Bollinger Bands |
|
||||
| `DEMA` | ✅ | ✅ Close | Double EMA; converges after ~20 bars |
|
||||
| `EMA` | ✅ | ✅ Close | Exponential Moving Average; converges after ~20 bars |
|
||||
| `KAMA` | ✅ | ✅ Exact | Kaufman Adaptive MA (values match after seed bar) |
|
||||
| `MA` | ✅ | ✅ Exact | Moving average (generic, type-selectable) |
|
||||
| `MAMA` | ✅ | ⚠️ Corr | MESA Adaptive MA |
|
||||
| `MAVP` | ✅ | ✅ Exact | MA with variable period |
|
||||
| `MIDPOINT` | ✅ | ✅ Exact | Midpoint over period |
|
||||
| `MIDPRICE` | ✅ | ✅ Exact | Midpoint price over period |
|
||||
| `SAR` | ✅ | ⚠️ Shape | Parabolic SAR (same shape; reversal history diverges) |
|
||||
| `SAREXT` | ✅ | ⚠️ Shape | Parabolic SAR Extended |
|
||||
| `SMA` | ✅ | ✅ Exact | Simple Moving Average |
|
||||
| `T3` | ✅ | ✅ Close | Triple Exponential MA (T3); converges after ~50 bars |
|
||||
| `TEMA` | ✅ | ✅ Close | Triple EMA; converges after ~20 bars |
|
||||
| `TRIMA` | ✅ | ✅ Exact | Triangular Moving Average |
|
||||
| `WMA` | ✅ | ✅ Exact | Weighted Moving Average |
|
||||
|
||||
|
||||
## Momentum Indicators
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------- | -------- | -------- | ---------------------------------------------------------------------------- |
|
||||
| `ADX` | ✅ | ✅ Close | Avg Directional Movement Index (TA-Lib Wilder sum-seeding) |
|
||||
| `ADXR` | ✅ | ✅ Close | ADX Rating (inherits ADX; TA-Lib seeding) |
|
||||
| `APO` | ✅ | ✅ Close | Absolute Price Oscillator (EMA-based) |
|
||||
| `AROON` | ✅ | ✅ Exact | Aroon Up/Down |
|
||||
| `AROONOSC` | ✅ | ✅ Exact | Aroon Oscillator |
|
||||
| `BOP` | ✅ | ✅ Exact | Balance Of Power |
|
||||
| `CCI` | ✅ | ✅ Exact | Commodity Channel Index (TA-Lib-compatible MAD formula) |
|
||||
| `CMO` | ✅ | ✅ Close | Chande Momentum Oscillator (rolling window, TA-Lib-compatible) |
|
||||
| `DX` | ✅ | ✅ Close | Directional Movement Index (TA-Lib Wilder sum-seeding) |
|
||||
| `MACD` | ✅ | ✅ Close | MACD (EMA-based; converges after ~30 bars) |
|
||||
| `MACDEXT` | ✅ | ✅ Close | MACD with controllable MA type (EMA-based; converges) |
|
||||
| `MACDFIX` | ✅ | ✅ Close | MACD Fixed 12/26 (EMA-based; converges) |
|
||||
| `MFI` | ✅ | ✅ Exact | Money Flow Index |
|
||||
| `MINUS_DI` | ✅ | ✅ Close | Minus Directional Indicator (TA-Lib Wilder sum-seeding) |
|
||||
| `MINUS_DM` | ✅ | ✅ Close | Minus Directional Movement (TA-Lib Wilder sum-seeding) |
|
||||
| `MOM` | ✅ | ✅ Exact | Momentum |
|
||||
| `PLUS_DI` | ✅ | ✅ Close | Plus Directional Indicator (TA-Lib Wilder sum-seeding) |
|
||||
| `PLUS_DM` | ✅ | ✅ Close | Plus Directional Movement (TA-Lib Wilder sum-seeding) |
|
||||
| `PPO` | ✅ | ✅ Close | Percentage Price Oscillator (EMA-based) |
|
||||
| `ROC` | ✅ | ✅ Exact | Rate of Change |
|
||||
| `ROCP` | ✅ | ✅ Exact | Rate of Change Percentage |
|
||||
| `ROCR` | ✅ | ✅ Exact | Rate of Change Ratio |
|
||||
| `ROCR100` | ✅ | ✅ Exact | Rate of Change Ratio × 100 |
|
||||
| `RSI` | ✅ | ✅ Close | Relative Strength Index (TA-Lib Wilder seeding; converges after ~1 seed bar) |
|
||||
| `STOCH` | ✅ | ✅ Close | Stochastic (TA-Lib-compatible SMA smoothing for slowk and slowd) |
|
||||
| `STOCHF` | ✅ | ✅ Exact | Stochastic Fast (%K exact; %D NaN offset ±2) |
|
||||
| `STOCHRSI` | ✅ | ✅ Close | Stochastic RSI (TA-Lib-compatible; SMA fastd, Wilder-seeded RSI) |
|
||||
| `TRIX` | ✅ | ✅ Close | 1-day ROC of Triple EMA (EMA-based; converges) |
|
||||
| `ULTOSC` | ✅ | ✅ Exact | Ultimate Oscillator |
|
||||
| `WILLR` | ✅ | ✅ Exact | Williams' %R |
|
||||
|
||||
|
||||
## Volume Indicators
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------- | -------- | -------- | ------------------------------------------------------------------ |
|
||||
| `AD` | ✅ | ✅ Exact | Chaikin A/D Line |
|
||||
| `ADOSC` | ✅ | ✅ Exact | Chaikin A/D Oscillator |
|
||||
| `OBV` | ✅ | ✅ Exact | On Balance Volume (increments identical; constant offset at bar 0) |
|
||||
|
||||
|
||||
## Volatility Indicators
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------- | -------- | -------- | ----------------------------------------------------------------------- |
|
||||
| `ATR` | ✅ | ✅ Close | Average True Range (TA-Lib Wilder seeding; matches from bar timeperiod) |
|
||||
| `NATR` | ✅ | ✅ Close | Normalized ATR (TA-Lib Wilder seeding) |
|
||||
| `TRANGE` | ✅ | ✅ Exact | True Range (bar 0 differs; all others identical) |
|
||||
|
||||
|
||||
## Cycle Indicators
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------- | -------- | -------- | ---------------------------------------------------------- |
|
||||
| `HT_DCPERIOD` | ✅ | ⚠️ Shape | Hilbert Transform Dominant Cycle Period (Ehlers algorithm) |
|
||||
| `HT_DCPHASE` | ✅ | ⚠️ Shape | Hilbert Transform Dominant Cycle Phase |
|
||||
| `HT_PHASOR` | ✅ | ⚠️ Shape | Hilbert Transform Phasor Components (inphase, quadrature) |
|
||||
| `HT_SINE` | ✅ | ⚠️ Shape | Hilbert Transform SineWave (sine, leadsine) |
|
||||
| `HT_TRENDLINE` | ✅ | ⚠️ Shape | Hilbert Transform Instantaneous Trendline |
|
||||
| `HT_TRENDMODE` | ✅ | ⚠️ Shape | Hilbert Transform Trend vs Cycle Mode (1=trend, 0=cycle) |
|
||||
|
||||
|
||||
## Price Transformations
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------- | -------- | -------- | -------------------- |
|
||||
| `AVGPRICE` | ✅ | ✅ Exact | Average Price |
|
||||
| `MEDPRICE` | ✅ | ✅ Exact | Median Price |
|
||||
| `TYPPRICE` | ✅ | ✅ Exact | Typical Price |
|
||||
| `WCLPRICE` | ✅ | ✅ Exact | Weighted Close Price |
|
||||
|
||||
|
||||
## Statistic Functions
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Accuracy | Notes |
|
||||
| --------------------- | -------- | -------- | ----------------------------------------------------------- |
|
||||
| `BETA` | ✅ | ✅ Close | Beta coefficient (returns-based regression matching TA-Lib) |
|
||||
| `CORREL` | ✅ | ✅ Exact | Pearson Correlation Coefficient |
|
||||
| `LINEARREG` | ✅ | ✅ Exact | Linear Regression |
|
||||
| `LINEARREG_ANGLE` | ✅ | ✅ Exact | Linear Regression Angle |
|
||||
| `LINEARREG_INTERCEPT` | ✅ | ✅ Exact | Linear Regression Intercept |
|
||||
| `LINEARREG_SLOPE` | ✅ | ✅ Exact | Linear Regression Slope |
|
||||
| `STDDEV` | ✅ | ✅ Exact | Standard Deviation |
|
||||
| `TSF` | ✅ | ✅ Exact | Time Series Forecast |
|
||||
| `VAR` | ✅ | ✅ Exact | Variance |
|
||||
|
||||
|
||||
## Pattern Recognition
|
||||
|
||||
`ferro-ta` implements all 61 candlestick patterns. All return the same
|
||||
`{-100, 0, 100}` convention as TA-Lib. Pattern thresholds may differ slightly
|
||||
from the full TA-Lib implementation.
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Notes |
|
||||
| --------------------- | -------- | --------------------------------------------------- |
|
||||
| `CDL2CROWS` | ✅ | Two Crows |
|
||||
| `CDL3BLACKCROWS` | ✅ | Three Black Crows |
|
||||
| `CDL3INSIDE` | ✅ | Three Inside Up/Down |
|
||||
| `CDL3LINESTRIKE` | ✅ | Three-Line Strike |
|
||||
| `CDL3OUTSIDE` | ✅ | Three Outside Up/Down |
|
||||
| `CDL3STARSINSOUTH` | ✅ | Three Stars In The South |
|
||||
| `CDL3WHITESOLDIERS` | ✅ | Three Advancing White Soldiers |
|
||||
| `CDLABANDONEDBABY` | ✅ | Abandoned Baby |
|
||||
| `CDLADVANCEBLOCK` | ✅ | Advance Block |
|
||||
| `CDLBELTHOLD` | ✅ | Belt-hold |
|
||||
| `CDLBREAKAWAY` | ✅ | Breakaway |
|
||||
| `CDLCLOSINGMARUBOZU` | ✅ | Closing Marubozu |
|
||||
| `CDLCONCEALBABYSWALL` | ✅ | Concealing Baby Swallow |
|
||||
| `CDLCOUNTERATTACK` | ✅ | Counterattack |
|
||||
| `CDLDARKCLOUDCOVER` | ✅ | Dark Cloud Cover |
|
||||
| `CDLDOJI` | ✅ | Doji |
|
||||
| `CDLDOJISTAR` | ✅ | Doji Star |
|
||||
| `CDLDRAGONFLYDOJI` | ✅ | Dragonfly Doji |
|
||||
| `CDLENGULFING` | ✅ | Engulfing Pattern |
|
||||
| `CDLEVENINGDOJISTAR` | ✅ | Evening Doji Star |
|
||||
| `CDLEVENINGSTAR` | ✅ | Evening Star |
|
||||
| `CDLGAPSIDESIDEWHITE` | ✅ | Up/Down-gap side-by-side white lines |
|
||||
| `CDLGRAVESTONEDOJI` | ✅ | Gravestone Doji |
|
||||
| `CDLHAMMER` | ✅ | Hammer |
|
||||
| `CDLHANGINGMAN` | ✅ | Hanging Man |
|
||||
| `CDLHARAMI` | ✅ | Harami Pattern |
|
||||
| `CDLHARAMICROSS` | ✅ | Harami Cross Pattern |
|
||||
| `CDLHIGHWAVE` | ✅ | High-Wave Candle |
|
||||
| `CDLHIKKAKE` | ✅ | Hikkake Pattern |
|
||||
| `CDLHIKKAKEMOD` | ✅ | Modified Hikkake Pattern |
|
||||
| `CDLHOMINGPIGEON` | ✅ | Homing Pigeon |
|
||||
| `CDLIDENTICAL3CROWS` | ✅ | Identical Three Crows |
|
||||
| `CDLINNECK` | ✅ | In-Neck Pattern |
|
||||
| `CDLINVERTEDHAMMER` | ✅ | Inverted Hammer |
|
||||
| `CDLKICKING` | ✅ | Kicking |
|
||||
| `CDLKICKINGBYLENGTH` | ✅ | Kicking by the longer Marubozu |
|
||||
| `CDLLADDERBOTTOM` | ✅ | Ladder Bottom |
|
||||
| `CDLLONGLEGGEDDOJI` | ✅ | Long Legged Doji |
|
||||
| `CDLLONGLINE` | ✅ | Long Line Candle |
|
||||
| `CDLMARUBOZU` | ✅ | Marubozu |
|
||||
| `CDLMATCHINGLOW` | ✅ | Matching Low |
|
||||
| `CDLMATHOLD` | ✅ | Mat Hold |
|
||||
| `CDLMORNINGDOJISTAR` | ✅ | Morning Doji Star |
|
||||
| `CDLMORNINGSTAR` | ✅ | Morning Star |
|
||||
| `CDLONNECK` | ✅ | On-Neck Pattern |
|
||||
| `CDLPIERCING` | ✅ | Piercing Pattern |
|
||||
| `CDLRICKSHAWMAN` | ✅ | Rickshaw Man |
|
||||
| `CDLRISEFALL3METHODS` | ✅ | Rising/Falling Three Methods |
|
||||
| `CDLSEPARATINGLINES` | ✅ | Separating Lines |
|
||||
| `CDLSHOOTINGSTAR` | ✅ | Shooting Star |
|
||||
| `CDLSHORTLINE` | ✅ | Short Line Candle |
|
||||
| `CDLSPINNINGTOP` | ✅ | Spinning Top |
|
||||
| `CDLSTALLEDPATTERN` | ✅ | Stalled Pattern |
|
||||
| `CDLSTICKSANDWICH` | ✅ | Stick Sandwich |
|
||||
| `CDLTAKURI` | ✅ | Takuri (Dragonfly Doji with very long lower shadow) |
|
||||
| `CDLTASUKIGAP` | ✅ | Tasuki Gap |
|
||||
| `CDLTHRUSTING` | ✅ | Thrusting Pattern |
|
||||
| `CDLTRISTAR` | ✅ | Tristar Pattern |
|
||||
| `CDLUNIQUE3RIVER` | ✅ | Unique 3 River |
|
||||
| `CDLUPSIDEGAP2CROWS` | ✅ | Upside Gap Two Crows |
|
||||
| `CDLXSIDEGAP3METHODS` | ✅ | Upside/Downside Gap Three Methods |
|
||||
|
||||
|
||||
## Math Operators / Math Transforms
|
||||
|
||||
`ferro-ta` provides TA-Lib-compatible wrappers for all arithmetic and
|
||||
math-transform functions. Rolling functions (`SUM`, `MAX`, `MIN`) produce `NaN`
|
||||
for the first `timeperiod - 1` bars.
|
||||
|
||||
|
||||
| TA-Lib Function | ferro-ta | Notes |
|
||||
| ------------------------ | -------- | ----------------------------- |
|
||||
| `ADD` | ✅ | Element-wise addition |
|
||||
| `SUB` | ✅ | Element-wise subtraction |
|
||||
| `MULT` | ✅ | Element-wise multiplication |
|
||||
| `DIV` | ✅ | Element-wise division |
|
||||
| `SUM` | ✅ | Rolling sum over *timeperiod* |
|
||||
| `MAX` / `MAXINDEX` | ✅ | Rolling maximum / index |
|
||||
| `MIN` / `MININDEX` | ✅ | Rolling minimum / index |
|
||||
| `ACOS` / `ASIN` / `ATAN` | ✅ | Arc trig transforms |
|
||||
| `CEIL` / `FLOOR` | ✅ | Round up / down |
|
||||
| `COS` / `SIN` / `TAN` | ✅ | Trig transforms |
|
||||
| `COSH` / `SINH` / `TANH` | ✅ | Hyperbolic transforms |
|
||||
| `EXP` / `LN` / `LOG10` | ✅ | Exponential / log transforms |
|
||||
| `SQRT` | ✅ | Square root |
|
||||
|
||||
|
||||
## Implementation Coverage Summary
|
||||
|
||||
|
||||
| Category | Implemented | Not Implemented |
|
||||
| --------------------------- | ----------- | --------------- |
|
||||
| Overlap Studies | 19 | 0 |
|
||||
| Momentum Indicators | 28 | 0 |
|
||||
| Volume Indicators | 3 | 0 |
|
||||
| Volatility Indicators | 3 | 0 |
|
||||
| Cycle Indicators | 6 | 0 |
|
||||
| Price Transforms | 4 | 0 |
|
||||
| Statistic Functions | 9 | 0 |
|
||||
| Pattern Recognition | 61 | 0 |
|
||||
| Math Operators / Transforms | 24 | 0 |
|
||||
| Extended Indicators | 10 | - |
|
||||
| Streaming Classes | 9 | - |
|
||||
| **Total** | **162+** | **0** |
|
||||
|
||||
|
||||
> `ferro-ta` implements 100% of TA-Lib's function set. NaN values are placed
|
||||
> at the beginning of each output array for the warmup period.
|
||||
|
||||
@@ -20,7 +20,8 @@ a Python technical analysis library.
|
||||
`docs/agentic.md <https://github.com/pratikbhadane24/ferro-ta/blob/main/docs/agentic.md>`_.
|
||||
* - MCP server
|
||||
- Experimental or adjacent
|
||||
- Exposes selected ferro-ta capabilities to MCP-compatible clients. See
|
||||
- FastMCP-based server exposing selected ferro-ta capabilities to
|
||||
MCP-compatible clients. See
|
||||
`docs/mcp.md <https://github.com/pratikbhadane24/ferro-ta/blob/main/docs/mcp.md>`_.
|
||||
* - WASM package
|
||||
- Experimental
|
||||
|
||||
+1
-1
@@ -198,6 +198,6 @@ while True:
|
||||
|
||||
- `ferro_ta.tools` — module source.
|
||||
- `ferro_ta.workflow` — module source.
|
||||
- `docs/mcp.md` — MCP server for Cursor/Claude integration.
|
||||
- `docs/mcp.md` — MCP server for MCP-compatible clients.
|
||||
- `ferro_ta.backtest` — backtest harness.
|
||||
- `ferro_ta.registry` — indicator registry.
|
||||
|
||||
+1
-1
@@ -61,7 +61,7 @@ Adjacent and experimental tooling:
|
||||
|
||||
- Derivatives analytics — see :doc:`derivatives`
|
||||
- Agentic workflow and LangChain tool wrappers — see `Agentic guide <https://github.com/pratikbhadane24/ferro-ta/blob/main/docs/agentic.md>`_
|
||||
- MCP server for Cursor/Claude integration — see `MCP guide <https://github.com/pratikbhadane24/ferro-ta/blob/main/docs/mcp.md>`_
|
||||
- MCP server for MCP-compatible clients — see `MCP guide <https://github.com/pratikbhadane24/ferro-ta/blob/main/docs/mcp.md>`_
|
||||
- WASM, plugins, and other optional surfaces — see :doc:`adjacent_tooling`
|
||||
|
||||
Installation
|
||||
|
||||
+120
-54
@@ -1,42 +1,56 @@
|
||||
# MCP Server — Connect ferro-ta in Cursor
|
||||
# MCP Server
|
||||
|
||||
ferro-ta ships an MCP (Model Context Protocol) server that exposes
|
||||
indicators and backtest tools to AI agents. This guide shows how to run
|
||||
the server and connect it to Cursor or any MCP-compatible client.
|
||||
ferro-ta ships an optional MCP (Model Context Protocol) server built on the
|
||||
official Python SDK's FastMCP layer. The server now exposes the broad public
|
||||
ferro-ta callable surface instead of a tiny hand-picked subset.
|
||||
|
||||
That means MCP clients can use:
|
||||
|
||||
- Exact top-level ferro-ta exports such as `SMA`, `RSI`, `MACD`, `about`,
|
||||
`methods`, `info`, `benchmark`, and `traced`
|
||||
- Non-top-level public tools such as `compute_indicator`, `run_backtest`,
|
||||
`check_cross`, `aggregate_ticks`, `TickAggregator`, and `AlertManager`
|
||||
- Legacy lowercase convenience aliases: `sma`, `ema`, `rsi`, `macd`,
|
||||
and `backtest`
|
||||
- Generic instance tools for stateful classes and stored callables:
|
||||
`list_instances`, `describe_instance`, `call_instance_method`,
|
||||
`call_stored_callable`, and `delete_instance`
|
||||
|
||||
---
|
||||
|
||||
## Installation
|
||||
|
||||
The MCP server requires no additional dependencies beyond ferro_ta itself.
|
||||
For the full MCP SDK integration (recommended), install the optional extra:
|
||||
Install the optional MCP extra:
|
||||
|
||||
```bash
|
||||
pip install "ferro-ta[mcp]"
|
||||
```
|
||||
|
||||
or install the `mcp` package separately:
|
||||
If you are working from this repository, you can install the same extra into
|
||||
the project environment with:
|
||||
|
||||
```bash
|
||||
pip install "mcp>=1.0"
|
||||
uv sync --extra mcp
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Running the server
|
||||
|
||||
Run the server over stdio:
|
||||
|
||||
```bash
|
||||
python -m ferro_ta.mcp
|
||||
```
|
||||
|
||||
The server listens on stdin/stdout using JSON-RPC 2.0 (the MCP protocol).
|
||||
The command exits immediately with an install hint if the optional `mcp`
|
||||
dependency is missing.
|
||||
|
||||
---
|
||||
|
||||
## Connect in Cursor
|
||||
|
||||
1. Open Cursor settings (Command Palette → "Open User Settings (JSON)").
|
||||
2. Find or create the `mcpServers` section:
|
||||
Add the server to Cursor's MCP settings:
|
||||
|
||||
```json
|
||||
{
|
||||
@@ -44,82 +58,134 @@ The server listens on stdin/stdout using JSON-RPC 2.0 (the MCP protocol).
|
||||
"ferro-ta": {
|
||||
"command": "python",
|
||||
"args": ["-m", "ferro_ta.mcp"],
|
||||
"description": "ferro_ta — Technical Analysis MCP server"
|
||||
"description": "ferro-ta technical analysis tools"
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
3. Reload Cursor (Command Palette → "Developer: Reload Window").
|
||||
4. The ferro-ta tools will appear in the Tools panel.
|
||||
You can place this in your user settings JSON or in a workspace-level
|
||||
`.cursor/mcp.json`.
|
||||
|
||||
### Workspace-level config
|
||||
---
|
||||
|
||||
You can also add the config to your project's `.cursor/mcp.json`:
|
||||
## Tool naming
|
||||
|
||||
The MCP server prefers the real ferro-ta API names.
|
||||
|
||||
- Use exact public names when possible, for example `SMA`, `MACD`,
|
||||
`compute_indicator`, `trade_stats`, `TickAggregator`, or `AlertManager`
|
||||
- Use the legacy lowercase aliases only when you want the old MCP-friendly
|
||||
shortcuts and result shapes
|
||||
- Use `about`, `methods`, `indicators`, and `info` to discover what is
|
||||
available from inside an MCP client
|
||||
|
||||
---
|
||||
|
||||
## Stateful classes and object references
|
||||
|
||||
Class tools return stored object references instead of plain text placeholders.
|
||||
For example, calling `TickAggregator` or `AlertManager` returns a payload like:
|
||||
|
||||
```json
|
||||
{
|
||||
"mcpServers": {
|
||||
"ferro-ta": {
|
||||
"command": "python",
|
||||
"args": ["-m", "ferro_ta.mcp"]
|
||||
}
|
||||
}
|
||||
"instance_id": "tickaggregator-0001",
|
||||
"type": "ferro_ta.data.aggregation.TickAggregator",
|
||||
"repr": "TickAggregator(rule='tick:2')"
|
||||
}
|
||||
```
|
||||
|
||||
Use that `instance_id` with:
|
||||
|
||||
- `describe_instance` to inspect the stored object and list public methods
|
||||
- `call_instance_method` to call methods like `aggregate`, `update`,
|
||||
`run_backtest`, or `to_dict`
|
||||
- `delete_instance` to remove stored objects when you are done
|
||||
|
||||
If a tool returns a stored callable, use `call_stored_callable`.
|
||||
|
||||
---
|
||||
|
||||
## Callable references
|
||||
|
||||
Some ferro-ta APIs accept other callables, for example `benchmark`,
|
||||
`log_call`, `traced`, or `multi_timeframe(indicator=...)`.
|
||||
|
||||
Pass public ferro-ta callables using:
|
||||
|
||||
```json
|
||||
{"callable": "SMA"}
|
||||
```
|
||||
|
||||
Pass stored objects using:
|
||||
|
||||
```json
|
||||
{"instance_id": "function-0001"}
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Example prompts
|
||||
|
||||
Once connected, you can ask Claude (or any MCP-enabled AI) things like:
|
||||
Once connected, you can ask an MCP-compatible client things like:
|
||||
|
||||
> "Compute RSI(14) on this price series: [100, 102, 101, 105, 108, 104, 107]"
|
||||
> "Run `SMA` with `close=[100, 101, 102, 103, 104]` and `timeperiod=3`."
|
||||
|
||||
> "Run a backtest with the rsi_30_70 strategy on [100, 101, 99, 103, 106, 102, 108, 105, 109, 112, 108, 111]"
|
||||
> "Use `compute_indicator` to calculate `MACD` for this close series."
|
||||
|
||||
> "List all available ferro_ta indicators"
|
||||
> "Call `about` and summarize the current ferro-ta API surface."
|
||||
|
||||
> "What does the SMA indicator do?"
|
||||
> "Create a `TickAggregator` with `rule='tick:50'`, aggregate this tick data,
|
||||
> then delete the instance."
|
||||
|
||||
> "Benchmark `SMA` over this price series using a callable reference."
|
||||
|
||||
---
|
||||
|
||||
## Available tools
|
||||
## Programmatic use
|
||||
|
||||
| Tool | Description |
|
||||
|------|-------------|
|
||||
| `sma` | Simple Moving Average |
|
||||
| `ema` | Exponential Moving Average |
|
||||
| `rsi` | Relative Strength Index |
|
||||
| `macd` | MACD line, signal, histogram |
|
||||
| `backtest` | Vectorized backtest (rsi_30_70, sma_crossover, macd_crossover) |
|
||||
| `list_indicators` | List all registered indicators |
|
||||
| `describe_indicator` | Describe a named indicator |
|
||||
|
||||
---
|
||||
|
||||
## Programmatic use (Python client)
|
||||
|
||||
You can also use the MCP handlers directly in Python without the server:
|
||||
Use the server entrypoint:
|
||||
|
||||
```python
|
||||
from ferro_ta.mcp import handle_list_tools, handle_call_tool
|
||||
import numpy as np
|
||||
from ferro_ta.mcp import create_server
|
||||
|
||||
server = create_server()
|
||||
# server.run(transport="stdio")
|
||||
```
|
||||
|
||||
Or call the handlers directly without starting the server:
|
||||
|
||||
```python
|
||||
from ferro_ta.mcp import handle_call_tool, handle_list_tools
|
||||
import json
|
||||
|
||||
# List tools
|
||||
tools = handle_list_tools()
|
||||
print([t["name"] for t in tools["tools"]])
|
||||
print(len(tools["tools"]))
|
||||
|
||||
# Call RSI
|
||||
close = list(np.cumprod(1 + np.random.default_rng(0).normal(0, 0.01, 50)) * 100)
|
||||
result = handle_call_tool("rsi", {"close": close, "timeperiod": 14})
|
||||
print(result)
|
||||
close = [100, 101, 102, 103, 104]
|
||||
result = handle_call_tool("SMA", {"close": close, "timeperiod": 3})
|
||||
print(json.loads(result["content"][0]["text"]))
|
||||
|
||||
aggregator = json.loads(
|
||||
handle_call_tool("TickAggregator", {"rule": "tick:2"})["content"][0]["text"]
|
||||
)
|
||||
bars = handle_call_tool(
|
||||
"call_instance_method",
|
||||
{
|
||||
"instance_id": aggregator["instance_id"],
|
||||
"method": "aggregate",
|
||||
"args": [{"price": [1, 2, 3, 4], "size": [1, 1, 1, 1]}],
|
||||
},
|
||||
)
|
||||
print(json.loads(bars["content"][0]["text"]))
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## See also
|
||||
|
||||
- `ferro_ta.mcp` — module source.
|
||||
- `ferro_ta.tools` — underlying tool functions.
|
||||
- `docs/agentic.md` — LangChain and workflow integration.
|
||||
- `python -m ferro_ta.mcp` - stdio MCP entrypoint
|
||||
- `ferro_ta.mcp.create_server()` - FastMCP server factory
|
||||
- `ferro_ta.tools.api_info` - API discovery helpers used by the MCP catalog
|
||||
- `ferro_ta.tools` - stable wrappers such as `compute_indicator`
|
||||
- `docs/agentic.md` - workflow and agent integration notes
|
||||
|
||||
+1294
-392
File diff suppressed because it is too large
Load Diff
@@ -4,6 +4,9 @@ regime detection, performance attribution, and dashboard helpers.
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib
|
||||
import runpy
|
||||
|
||||
import numpy as np
|
||||
import pytest
|
||||
|
||||
@@ -1218,7 +1221,22 @@ class TestMCPListTools:
|
||||
|
||||
result = handle_list_tools()
|
||||
names = [t["name"] for t in result["tools"]]
|
||||
for expected in ("sma", "ema", "rsi", "macd", "backtest", "list_indicators"):
|
||||
assert len(names) > 250
|
||||
for expected in (
|
||||
"sma",
|
||||
"ema",
|
||||
"rsi",
|
||||
"macd",
|
||||
"backtest",
|
||||
"SMA",
|
||||
"compute_indicator",
|
||||
"about",
|
||||
"check_cross",
|
||||
"TickAggregator",
|
||||
"call_instance_method",
|
||||
"call_stored_callable",
|
||||
"delete_instance",
|
||||
):
|
||||
assert expected in names, f"Expected tool '{expected}' not found"
|
||||
|
||||
def test_each_tool_has_schema(self):
|
||||
@@ -1280,6 +1298,57 @@ class TestMCPCallTool:
|
||||
assert "final_equity" in payload
|
||||
assert "n_trades" in payload
|
||||
|
||||
def test_top_level_sma_call(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
close = list(np.linspace(100, 110, 30))
|
||||
result = handle_call_tool("SMA", {"close": close, "timeperiod": 5})
|
||||
payload = json.loads(result["content"][0]["text"])
|
||||
assert len(payload) == 30
|
||||
|
||||
def test_compute_indicator_call(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
close = list(_make_close(100))
|
||||
result = handle_call_tool(
|
||||
"compute_indicator",
|
||||
{
|
||||
"name": "MACD",
|
||||
"args": [close],
|
||||
},
|
||||
)
|
||||
payload = json.loads(result["content"][0]["text"])
|
||||
assert "macd" in payload
|
||||
|
||||
def test_about_call(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
result = handle_call_tool("about", {})
|
||||
payload = json.loads(result["content"][0]["text"])
|
||||
assert payload["indicator_count"] >= 200
|
||||
assert payload["method_count"] >= 400
|
||||
|
||||
def test_check_cross_call(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
result = handle_call_tool(
|
||||
"check_cross",
|
||||
{
|
||||
"fast": [1.0, 2.0, 3.0, 2.0, 1.0],
|
||||
"slow": [2.0, 2.0, 2.0, 2.0, 2.0],
|
||||
},
|
||||
)
|
||||
payload = json.loads(result["content"][0]["text"])
|
||||
assert len(payload) == 5
|
||||
|
||||
def test_list_indicators_call(self):
|
||||
import json
|
||||
|
||||
@@ -1322,3 +1391,129 @@ class TestMCPCallTool:
|
||||
"backtest", {"close": close, "strategy": "no_strategy"}
|
||||
)
|
||||
assert result.get("isError") is True or "content" in result
|
||||
|
||||
def test_tick_aggregator_instance_lifecycle(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
created = json.loads(
|
||||
handle_call_tool("TickAggregator", {"rule": "tick:2"})["content"][0]["text"]
|
||||
)
|
||||
instance_id = created["instance_id"]
|
||||
|
||||
described = json.loads(
|
||||
handle_call_tool(
|
||||
"describe_instance", {"instance_id": instance_id}
|
||||
)["content"][0]["text"]
|
||||
)
|
||||
method_names = [item["name"] for item in described["methods"]]
|
||||
assert "aggregate" in method_names
|
||||
|
||||
aggregated = json.loads(
|
||||
handle_call_tool(
|
||||
"call_instance_method",
|
||||
{
|
||||
"instance_id": instance_id,
|
||||
"method": "aggregate",
|
||||
"args": [
|
||||
{
|
||||
"price": [1.0, 2.0, 3.0, 4.0],
|
||||
"size": [1.0, 1.0, 1.0, 1.0],
|
||||
}
|
||||
],
|
||||
},
|
||||
)["content"][0]["text"]
|
||||
)
|
||||
assert "open" in aggregated
|
||||
assert "close" in aggregated
|
||||
|
||||
deleted = json.loads(
|
||||
handle_call_tool(
|
||||
"delete_instance", {"instance_id": instance_id}
|
||||
)["content"][0]["text"]
|
||||
)
|
||||
assert deleted["deleted"] is True
|
||||
|
||||
def test_stored_callable_can_be_invoked(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
wrapped = json.loads(
|
||||
handle_call_tool(
|
||||
"traced", {"func": {"callable": "SMA"}}
|
||||
)["content"][0]["text"]
|
||||
)
|
||||
instance_id = wrapped["instance_id"]
|
||||
|
||||
called = json.loads(
|
||||
handle_call_tool(
|
||||
"call_stored_callable",
|
||||
{
|
||||
"instance_id": instance_id,
|
||||
"args": [[1.0, 2.0, 3.0, 4.0, 5.0]],
|
||||
"kwargs": {"timeperiod": 3},
|
||||
},
|
||||
)["content"][0]["text"]
|
||||
)
|
||||
assert len(called) == 5
|
||||
|
||||
handle_call_tool("delete_instance", {"instance_id": instance_id})
|
||||
|
||||
def test_benchmark_accepts_callable_reference(self):
|
||||
import json
|
||||
|
||||
from ferro_ta.mcp import handle_call_tool
|
||||
|
||||
result = handle_call_tool(
|
||||
"benchmark",
|
||||
{
|
||||
"func": {"callable": "SMA"},
|
||||
"args": [[1.0, 2.0, 3.0, 4.0, 5.0]],
|
||||
"kwargs": {"timeperiod": 3},
|
||||
"n": 2,
|
||||
"warmup": 0,
|
||||
},
|
||||
)
|
||||
payload = json.loads(result["content"][0]["text"])
|
||||
assert payload["n"] == 2.0
|
||||
assert "mean_ms" in payload
|
||||
|
||||
|
||||
class TestMCPServer:
|
||||
def test_create_server_requires_mcp_dependency(self, monkeypatch):
|
||||
import ferro_ta.mcp as mcp_mod
|
||||
|
||||
real_import_module = importlib.import_module
|
||||
|
||||
def fake_import_module(name, package=None):
|
||||
if name.startswith("mcp"):
|
||||
raise ImportError("No module named 'mcp'")
|
||||
return real_import_module(name, package)
|
||||
|
||||
mcp_mod.create_server.cache_clear()
|
||||
monkeypatch.setattr(importlib, "import_module", fake_import_module)
|
||||
|
||||
with pytest.raises(RuntimeError, match='pip install "ferro-ta\\[mcp\\]"'):
|
||||
mcp_mod.create_server()
|
||||
|
||||
def test_main_entrypoint_invokes_run_server(self, monkeypatch):
|
||||
import ferro_ta.mcp as mcp_mod
|
||||
|
||||
calls: list[str] = []
|
||||
|
||||
monkeypatch.setattr(mcp_mod, "run_server", lambda: calls.append("called"))
|
||||
runpy.run_module("ferro_ta.mcp.__main__", run_name="__main__")
|
||||
|
||||
assert calls == ["called"]
|
||||
|
||||
def test_create_server_registers_generated_tools(self):
|
||||
import ferro_ta.mcp as mcp_mod
|
||||
|
||||
server = mcp_mod.create_server()
|
||||
tool_names = [tool.name for tool in server._tool_manager.list_tools()]
|
||||
|
||||
assert "SMA" in tool_names
|
||||
assert "TickAggregator" in tool_names
|
||||
assert "call_instance_method" in tool_names
|
||||
|
||||
@@ -515,19 +515,24 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "cuda-bindings"
|
||||
version = "12.9.4"
|
||||
version = "13.2.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "cuda-pathfinder", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/7a/d8/b546104b8da3f562c1ff8ab36d130c8fe1dd6a045ced80b4f6ad74f7d4e1/cuda_bindings-12.9.4-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:4d3c842c2a4303b2a580fe955018e31aea30278be19795ae05226235268032e5", size = 12148218, upload-time = "2025-10-21T14:51:28.855Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/45/e7/b47792cc2d01c7e1d37c32402182524774dadd2d26339bd224e0e913832e/cuda_bindings-12.9.4-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:c912a3d9e6b6651853eed8eed96d6800d69c08e94052c292fec3f282c5a817c9", size = 12210593, upload-time = "2025-10-21T14:51:36.574Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a9/c1/dabe88f52c3e3760d861401bb994df08f672ec893b8f7592dc91626adcf3/cuda_bindings-12.9.4-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:fda147a344e8eaeca0c6ff113d2851ffca8f7dfc0a6c932374ee5c47caa649c8", size = 12151019, upload-time = "2025-10-21T14:51:43.167Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/63/56/e465c31dc9111be3441a9ba7df1941fe98f4aa6e71e8788a3fb4534ce24d/cuda_bindings-12.9.4-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:32bdc5a76906be4c61eb98f546a6786c5773a881f3b166486449b5d141e4a39f", size = 11906628, upload-time = "2025-10-21T14:51:49.905Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a3/84/1e6be415e37478070aeeee5884c2022713c1ecc735e6d82d744de0252eee/cuda_bindings-12.9.4-cp313-cp313t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:56e0043c457a99ac473ddc926fe0dc4046694d99caef633e92601ab52cbe17eb", size = 11925991, upload-time = "2025-10-21T14:51:56.535Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/af/6dfd8f2ed90b1d4719bc053ff8940e494640fe4212dc3dd72f383e4992da/cuda_bindings-12.9.4-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:8b72ee72a9cc1b531db31eebaaee5c69a8ec3500e32c6933f2d3b15297b53686", size = 11922703, upload-time = "2025-10-21T14:52:03.585Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6c/19/90ac264acc00f6df8a49378eedec9fd2db3061bf9263bf9f39fd3d8377c3/cuda_bindings-12.9.4-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d80bffc357df9988dca279734bc9674c3934a654cab10cadeed27ce17d8635ee", size = 11924658, upload-time = "2025-10-21T14:52:10.411Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/fe/7351d7e586a8b4c9f89731bfe4cf0148223e8f9903ff09571f78b3fb0682/cuda_bindings-13.2.0-cp310-cp310-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:08b395f79cb89ce0cd8effff07c4a1e20101b873c256a1aeb286e8fd7bd0f556", size = 5744254, upload-time = "2026-03-11T00:12:29.798Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/aa/ef/184aa775e970fc089942cd9ec6302e6e44679d4c14549c6a7ea45bf7f798/cuda_bindings-13.2.0-cp310-cp310-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d6f3682ec3c4769326aafc67c2ba669d97d688d0b7e63e659d36d2f8b72f32d6", size = 6329075, upload-time = "2026-03-11T00:12:32.319Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e0/a9/3a8241c6e19483ac1f1dcf5c10238205dcb8a6e9d0d4d4709240dff28ff4/cuda_bindings-13.2.0-cp311-cp311-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:721104c603f059780d287969be3d194a18d0cc3b713ed9049065a1107706759d", size = 5730273, upload-time = "2026-03-11T00:12:37.18Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e9/94/2748597f47bb1600cd466b20cab4159f1530a3a33fe7f70fee199b3abb9e/cuda_bindings-13.2.0-cp311-cp311-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:1eba9504ac70667dd48313395fe05157518fd6371b532790e96fbb31bbb5a5e1", size = 6313924, upload-time = "2026-03-11T00:12:39.462Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/52/c8/b2589d68acf7e3d63e2be330b84bc25712e97ed799affbca7edd7eae25d6/cuda_bindings-13.2.0-cp312-cp312-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e865447abfb83d6a98ad5130ed3c70b1fc295ae3eeee39fd07b4ddb0671b6788", size = 5722404, upload-time = "2026-03-11T00:12:44.041Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/92/f899f7bbb5617bb65ec52a6eac1e9a1447a86b916c4194f8a5001b8cde0c/cuda_bindings-13.2.0-cp312-cp312-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46d8776a55d6d5da9dd6e9858fba2efcda2abe6743871dee47dd06eb8cb6d955", size = 6320619, upload-time = "2026-03-11T00:12:45.939Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/df/93/eef988860a3ca985f82c4f3174fc0cdd94e07331ba9a92e8e064c260337f/cuda_bindings-13.2.0-cp313-cp313-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6629ca2df6f795b784752409bcaedbd22a7a651b74b56a165ebc0c9dcbd504d0", size = 5614610, upload-time = "2026-03-11T00:12:50.337Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/18/23/6db3aba46864aee357ab2415135b3fe3da7e9f1fa0221fa2a86a5968099c/cuda_bindings-13.2.0-cp313-cp313-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:7dca0da053d3b4cc4869eff49c61c03f3c5dbaa0bcd712317a358d5b8f3f385d", size = 6149914, upload-time = "2026-03-11T00:12:52.374Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c0/87/87a014f045b77c6de5c8527b0757fe644417b184e5367db977236a141602/cuda_bindings-13.2.0-cp314-cp314-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:a6464b30f46692d6c7f65d4a0e0450d81dd29de3afc1bb515653973d01c2cd6e", size = 5685673, upload-time = "2026-03-11T00:12:56.371Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ee/5e/c0fe77a73aaefd3fff25ffaccaac69c5a63eafdf8b9a4c476626ef0ac703/cuda_bindings-13.2.0-cp314-cp314-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:f4af9f3e1be603fa12d5ad6cfca7844c9d230befa9792b5abdf7dd79979c3626", size = 6191386, upload-time = "2026-03-11T00:12:58.965Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/58/ed2c3b39c8dd5f96aa7a4abef0d47a73932c7a988e30f5fa428f00ed0da1/cuda_bindings-13.2.0-cp314-cp314t-manylinux_2_24_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:df850a1ff8ce1b3385257b08e47b70e959932f5f432d0a4e46a355962b4e4771", size = 5507469, upload-time = "2026-03-11T00:13:04.063Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/01/0c941b112ceeb21439b05895eace78ca1aa2eaaf695c8521a068fd9b4c00/cuda_bindings-13.2.0-cp314-cp314t-manylinux_2_24_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8a16384c6494e5485f39314b0b4afb04bee48d49edb16d5d8593fd35bbd231b", size = 6059693, upload-time = "2026-03-11T00:13:06.003Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -538,6 +543,49 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/07/02/59a5bc738a09def0b49aea0e460bdf97f65206d0d041246147cf6207e69c/cuda_pathfinder-1.4.1-py3-none-any.whl", hash = "sha256:40793006082de88e0950753655e55558a446bed9a7d9d0bcb48b2506d50ed82a", size = 43903, upload-time = "2026-03-06T21:05:24.372Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cuda-toolkit"
|
||||
version = "13.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/57/b2/453099f5f3b698d7d0eab38916aac44c7f76229f451709e2eb9db6615dcd/cuda_toolkit-13.0.2-py2.py3-none-any.whl", hash = "sha256:b198824cf2f54003f50d64ada3a0f184b42ca0846c1c94192fa269ecd97a66eb", size = 2364, upload-time = "2025-12-19T23:24:07.328Z" },
|
||||
]
|
||||
|
||||
[package.optional-dependencies]
|
||||
cublas = [
|
||||
{ name = "nvidia-cublas", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
cudart = [
|
||||
{ name = "nvidia-cuda-runtime", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
cufft = [
|
||||
{ name = "nvidia-cufft", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
cufile = [
|
||||
{ name = "nvidia-cufile", marker = "sys_platform == 'linux'" },
|
||||
]
|
||||
cupti = [
|
||||
{ name = "nvidia-cuda-cupti", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
curand = [
|
||||
{ name = "nvidia-curand", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
cusolver = [
|
||||
{ name = "nvidia-cusolver", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
cusparse = [
|
||||
{ name = "nvidia-cusparse", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
nvjitlink = [
|
||||
{ name = "nvidia-nvjitlink", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
nvrtc = [
|
||||
{ name = "nvidia-cuda-nvrtc", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
nvtx = [
|
||||
{ name = "nvidia-nvtx", marker = "(python_full_version < '3.11' and sys_platform == 'win32') or sys_platform == 'linux'" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "cycler"
|
||||
version = "0.12.1"
|
||||
@@ -593,7 +641,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "fastapi"
|
||||
version = "0.135.1"
|
||||
version = "0.135.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "annotated-doc" },
|
||||
@@ -602,9 +650,9 @@ dependencies = [
|
||||
{ name = "typing-extensions" },
|
||||
{ name = "typing-inspection" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e7/7b/f8e0211e9380f7195ba3f3d40c292594fd81ba8ec4629e3854c353aaca45/fastapi-0.135.1.tar.gz", hash = "sha256:d04115b508d936d254cea545b7312ecaa58a7b3a0f84952535b4c9afae7668cd", size = 394962, upload-time = "2026-03-01T18:18:29.369Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c4/73/5903c4b13beae98618d64eb9870c3fac4f605523dd0312ca5c80dadbd5b9/fastapi-0.135.2.tar.gz", hash = "sha256:88a832095359755527b7f63bb4c6bc9edb8329a026189eed83d6c1afcf419d56", size = 395833, upload-time = "2026-03-23T14:12:41.697Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e4/72/42e900510195b23a56bde950d26a51f8b723846bfcaa0286e90287f0422b/fastapi-0.135.1-py3-none-any.whl", hash = "sha256:46e2fc5745924b7c840f71ddd277382af29ce1cdb7d5eab5bf697e3fb9999c9e", size = 116999, upload-time = "2026-03-01T18:18:30.831Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/ea/18f6d0457f9efb2fc6fa594857f92810cadb03024975726db6546b3d6fcf/fastapi-0.135.2-py3-none-any.whl", hash = "sha256:0af0447d541867e8db2a6a25c23a8c4bd80e2394ac5529bd87501bbb9e240ca5", size = 117407, upload-time = "2026-03-23T14:12:43.284Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1583,137 +1631,152 @@ wheels = [
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cublas-cu12"
|
||||
version = "12.8.4.1"
|
||||
name = "nvidia-cublas"
|
||||
version = "13.1.0.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/61/e24b560ab2e2eaeb3c839129175fb330dfcfc29e5203196e5541a4c44682/nvidia_cublas_cu12-12.8.4.1-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:8ac4e771d5a348c551b2a426eda6193c19aa630236b418086020df5ba9667142", size = 594346921, upload-time = "2025-03-07T01:44:31.254Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e1/a5/fce49e2ae977e0ccc084e5adafceb4f0ac0c8333cb6863501618a7277f67/nvidia_cublas-13.1.0.3-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:c86fc7f7ae36d7528288c5d88098edcb7b02c633d262e7ddbb86b0ad91be5df2", size = 542851226, upload-time = "2025-10-09T08:59:04.818Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e7/44/423ac00af4dd95a5aeb27207e2c0d9b7118702149bf4704c3ddb55bb7429/nvidia_cublas-13.1.0.3-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:ee8722c1f0145ab246bccb9e452153b5e0515fd094c3678df50b2a0888b8b171", size = 423133236, upload-time = "2025-10-09T08:59:32.536Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-cupti-cu12"
|
||||
version = "12.8.90"
|
||||
name = "nvidia-cuda-cupti"
|
||||
version = "13.0.85"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f8/02/2adcaa145158bf1a8295d83591d22e4103dbfd821bcaf6f3f53151ca4ffa/nvidia_cuda_cupti_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ea0cb07ebda26bb9b29ba82cda34849e73c166c18162d3913575b0c9db9a6182", size = 10248621, upload-time = "2025-03-07T01:40:21.213Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2a/2a/80353b103fc20ce05ef51e928daed4b6015db4aaa9162ed0997090fe2250/nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_aarch64.whl", hash = "sha256:796bd679890ee55fb14a94629b698b6db54bcfd833d391d5e94017dd9d7d3151", size = 10310827, upload-time = "2025-09-04T08:26:42.012Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/33/6d/737d164b4837a9bbd202f5ae3078975f0525a55730fe871d8ed4e3b952b0/nvidia_cuda_cupti-13.0.85-py3-none-manylinux_2_25_x86_64.whl", hash = "sha256:4eb01c08e859bf924d222250d2e8f8b8ff6d3db4721288cf35d14252a4d933c8", size = 10715597, upload-time = "2025-09-04T08:26:51.312Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-nvrtc-cu12"
|
||||
version = "12.8.93"
|
||||
name = "nvidia-cuda-nvrtc"
|
||||
version = "13.0.88"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/05/6b/32f747947df2da6994e999492ab306a903659555dddc0fbdeb9d71f75e52/nvidia_cuda_nvrtc_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:a7756528852ef889772a84c6cd89d41dfa74667e24cca16bb31f8f061e3e9994", size = 88040029, upload-time = "2025-03-07T01:42:13.562Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/68/483a78f5e8f31b08fb1bb671559968c0ca3a065ac7acabfc7cee55214fd6/nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:ad9b6d2ead2435f11cbb6868809d2adeeee302e9bb94bcf0539c7a40d80e8575", size = 90215200, upload-time = "2025-09-04T08:28:44.204Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/dc/6bb80850e0b7edd6588d560758f17e0550893a1feaf436807d64d2da040f/nvidia_cuda_nvrtc-13.0.88-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:d27f20a0ca67a4bb34268a5e951033496c5b74870b868bacd046b1b8e0c3267b", size = 43015449, upload-time = "2025-09-04T08:28:20.239Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cuda-runtime-cu12"
|
||||
version = "12.8.90"
|
||||
name = "nvidia-cuda-runtime"
|
||||
version = "13.0.96"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0d/9b/a997b638fcd068ad6e4d53b8551a7d30fe8b404d6f1804abf1df69838932/nvidia_cuda_runtime_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:adade8dcbd0edf427b7204d480d6066d33902cab2a4707dcfc48a2d0fd44ab90", size = 954765, upload-time = "2025-03-07T01:40:01.615Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/4f/17d7b9b8e285199c58ce28e31b5c5bbaa4d8271af06a89b6405258245de2/nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:ef9bcbe90493a2b9d810e43d249adb3d02e98dd30200d86607d8d02687c43f55", size = 2261060, upload-time = "2025-10-09T08:55:15.78Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2e/24/d1558f3b68b1d26e706813b1d10aa1d785e4698c425af8db8edc3dced472/nvidia_cuda_runtime-13.0.96-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:7f82250d7782aa23b6cfe765ecc7db554bd3c2870c43f3d1821f1d18aebf0548", size = 2243632, upload-time = "2025-10-09T08:55:36.117Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cudnn-cu12"
|
||||
version = "9.10.2.21"
|
||||
name = "nvidia-cudnn-cu13"
|
||||
version = "9.19.0.56"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-cublas-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-cublas", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ba/51/e123d997aa098c61d029f76663dedbfb9bc8dcf8c60cbd6adbe42f76d049/nvidia_cudnn_cu12-9.10.2.21-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:949452be657fa16687d0930933f032835951ef0892b37d2d53824d1a84dc97a8", size = 706758467, upload-time = "2025-06-06T21:54:08.597Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f1/84/26025437c1e6b61a707442184fa0c03d083b661adf3a3eecfd6d21677740/nvidia_cudnn_cu13-9.19.0.56-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:6ed29ffaee1176c612daf442e4dd6cfeb6a0caa43ddcbeb59da94953030b1be4", size = 433781201, upload-time = "2026-02-03T20:40:53.805Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a3/22/0b4b932655d17a6da1b92fa92ab12844b053bb2ac2475e179ba6f043da1e/nvidia_cudnn_cu13-9.19.0.56-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:d20e1734305e9d68889a96e3f35094d733ff1f83932ebe462753973e53a572bf", size = 366066321, upload-time = "2026-02-03T20:44:52.837Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cufft-cu12"
|
||||
version = "11.3.3.83"
|
||||
name = "nvidia-cufft"
|
||||
version = "12.0.0.61"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-nvjitlink", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/1f/13/ee4e00f30e676b66ae65b4f08cb5bcbb8392c03f54f2d5413ea99a5d1c80/nvidia_cufft_cu12-11.3.3.83-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:4d2dd21ec0b88cf61b62e6b43564355e5222e4a3fb394cac0db101f2dd0d4f74", size = 193118695, upload-time = "2025-03-07T01:45:27.821Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8b/ae/f417a75c0259e85c1d2f83ca4e960289a5f814ed0cea74d18c353d3e989d/nvidia_cufft-12.0.0.61-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:2708c852ef8cd89d1d2068bdbece0aa188813a0c934db3779b9b1faa8442e5f5", size = 214053554, upload-time = "2025-09-04T08:31:38.196Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/2f/7b57e29836ea8714f81e9898409196f47d772d5ddedddf1592eadb8ab743/nvidia_cufft-12.0.0.61-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:6c44f692dce8fd5ffd3e3df134b6cdb9c2f72d99cf40b62c32dde45eea9ddad3", size = 214085489, upload-time = "2025-09-04T08:31:56.044Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cufile-cu12"
|
||||
version = "1.13.1.3"
|
||||
name = "nvidia-cufile"
|
||||
version = "1.15.1.6"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/fe/1bcba1dfbfb8d01be8d93f07bfc502c93fa23afa6fd5ab3fc7c1df71038a/nvidia_cufile_cu12-1.13.1.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1d069003be650e131b21c932ec3d8969c1715379251f8d23a1860554b1cb24fc", size = 1197834, upload-time = "2025-03-07T01:45:50.723Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3f/70/4f193de89a48b71714e74602ee14d04e4019ad36a5a9f20c425776e72cd6/nvidia_cufile-1.15.1.6-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:08a3ecefae5a01c7f5117351c64f17c7c62efa5fffdbe24fc7d298da19cd0b44", size = 1223672, upload-time = "2025-09-04T08:32:22.779Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/73/cc4a14c9813a8a0d509417cf5f4bdaba76e924d58beb9864f5a7baceefbf/nvidia_cufile-1.15.1.6-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:bdc0deedc61f548bddf7733bdc216456c2fdb101d020e1ab4b88d232d5e2f6d1", size = 1136992, upload-time = "2025-09-04T08:32:14.119Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-curand-cu12"
|
||||
version = "10.3.9.90"
|
||||
name = "nvidia-curand"
|
||||
version = "10.4.0.35"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/fb/aa/6584b56dc84ebe9cf93226a5cde4d99080c8e90ab40f0c27bda7a0f29aa1/nvidia_curand_cu12-10.3.9.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:b32331d4f4df5d6eefa0554c565b626c7216f87a06a4f56fab27c3b68a830ec9", size = 63619976, upload-time = "2025-03-07T01:46:23.323Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1e/72/7c2ae24fb6b63a32e6ae5d241cc65263ea18d08802aaae087d9f013335a2/nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:133df5a7509c3e292aaa2b477afd0194f06ce4ea24d714d616ff36439cee349a", size = 61962106, upload-time = "2025-08-04T10:21:41.128Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a5/9f/be0a41ca4a4917abf5cb9ae0daff1a6060cc5de950aec0396de9f3b52bc5/nvidia_curand-10.4.0.35-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:1aee33a5da6e1db083fe2b90082def8915f30f3248d5896bcec36a579d941bfc", size = 59544258, upload-time = "2025-08-04T10:22:03.992Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusolver-cu12"
|
||||
version = "11.7.3.90"
|
||||
name = "nvidia-cusolver"
|
||||
version = "12.0.4.66"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-cublas-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-cusparse-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-cublas", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-cusparse", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-nvjitlink", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/85/48/9a13d2975803e8cf2777d5ed57b87a0b6ca2cc795f9a4f59796a910bfb80/nvidia_cusolver_cu12-11.7.3.90-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:4376c11ad263152bd50ea295c05370360776f8c3427b30991df774f9fb26c450", size = 267506905, upload-time = "2025-03-07T01:47:16.273Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c8/c3/b30c9e935fc01e3da443ec0116ed1b2a009bb867f5324d3f2d7e533e776b/nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_aarch64.whl", hash = "sha256:02c2457eaa9e39de20f880f4bd8820e6a1cfb9f9a34f820eb12a155aa5bc92d2", size = 223467760, upload-time = "2025-09-04T08:33:04.222Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/67/cba3777620cdacb99102da4042883709c41c709f4b6323c10781a9c3aa34/nvidia_cusolver-12.0.4.66-py3-none-manylinux_2_27_x86_64.whl", hash = "sha256:0a759da5dea5c0ea10fd307de75cdeb59e7ea4fcb8add0924859b944babf1112", size = 200941980, upload-time = "2025-09-04T08:33:22.767Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusparse-cu12"
|
||||
version = "12.5.8.93"
|
||||
name = "nvidia-cusparse"
|
||||
version = "12.6.3.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
{ name = "nvidia-nvjitlink", marker = "(python_full_version < '3.11' and sys_platform == 'emscripten') or (python_full_version < '3.11' and sys_platform == 'win32') or (sys_platform != 'emscripten' and sys_platform != 'win32')" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/f5/e1854cb2f2bcd4280c44736c93550cc300ff4b8c95ebe370d0aa7d2b473d/nvidia_cusparse_cu12-12.5.8.93-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:1ec05d76bbbd8b61b06a80e1eaf8cf4959c3d4ce8e711b65ebd0443bb0ebb13b", size = 288216466, upload-time = "2025-03-07T01:48:13.779Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f8/94/5c26f33738ae35276672f12615a64bd008ed5be6d1ebcb23579285d960a9/nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:80bcc4662f23f1054ee334a15c72b8940402975e0eab63178fc7e670aa59472c", size = 162155568, upload-time = "2025-09-04T08:33:42.864Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fa/18/623c77619c31d62efd55302939756966f3ecc8d724a14dab2b75f1508850/nvidia_cusparse-12.6.3.3-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:2b3c89c88d01ee0e477cb7f82ef60a11a4bcd57b6b87c33f789350b59759360b", size = 145942937, upload-time = "2025-09-04T08:33:58.029Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-cusparselt-cu12"
|
||||
version = "0.7.1"
|
||||
name = "nvidia-cusparselt-cu13"
|
||||
version = "0.8.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/56/79/12978b96bd44274fe38b5dde5cfb660b1d114f70a65ef962bcbbed99b549/nvidia_cusparselt_cu12-0.7.1-py3-none-manylinux2014_x86_64.whl", hash = "sha256:f1bb701d6b930d5a7cea44c19ceb973311500847f81b634d802b7b539dc55623", size = 287193691, upload-time = "2025-02-26T00:15:44.104Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/46/10/8dcd1175260706a2fc92a16a52e306b71d4c1ea0b0cc4a9484183399818a/nvidia_cusparselt_cu13-0.8.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:400c6ed1cf6780fc6efedd64ec9f1345871767e6a1a0a552a1ea0578117ea77c", size = 220791277, upload-time = "2025-08-13T19:22:40.982Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fd/53/43b0d71f4e702fa9733f8b4571fdca50a8813f1e450b656c239beff12315/nvidia_cusparselt_cu13-0.8.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:25e30a8a7323935d4ad0340b95a0b69926eee755767e8e0b1cf8dd85b197d3fd", size = 169884119, upload-time = "2025-08-13T19:23:41.967Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nccl-cu12"
|
||||
version = "2.27.5"
|
||||
name = "nvidia-nccl-cu13"
|
||||
version = "2.28.9"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/89/f7a07dc961b60645dbbf42e80f2bc85ade7feb9a491b11a1e973aa00071f/nvidia_nccl_cu12-2.27.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ad730cf15cb5d25fe849c6e6ca9eb5b76db16a80f13f425ac68d8e2e55624457", size = 322348229, upload-time = "2025-06-26T04:11:28.385Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/55/1920646a2e43ffd4fc958536b276197ed740e9e0c54105b4bb3521591fc7/nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_aarch64.whl", hash = "sha256:01c873ba1626b54caa12272ed228dc5b2781545e0ae8ba3f432a8ef1c6d78643", size = 196561677, upload-time = "2025-11-18T05:49:03.45Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/b4/878fefaad5b2bcc6fcf8d474a25e3e3774bc5133e4b58adff4d0bca238bc/nvidia_nccl_cu13-2.28.9-py3-none-manylinux_2_18_x86_64.whl", hash = "sha256:e4553a30f34195f3fa1da02a6da3d6337d28f2003943aa0a3d247bbc25fefc42", size = 196493177, upload-time = "2025-11-18T05:49:17.677Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nvjitlink-cu12"
|
||||
version = "12.8.93"
|
||||
name = "nvidia-nvjitlink"
|
||||
version = "13.0.88"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/f6/74/86a07f1d0f42998ca31312f998bd3b9a7eff7f52378f4f270c8679c77fb9/nvidia_nvjitlink_cu12-12.8.93-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:81ff63371a7ebd6e6451970684f916be2eab07321b73c9d244dc2b4da7f73b88", size = 39254836, upload-time = "2025-03-07T01:49:55.661Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/56/7a/123e033aaff487c77107195fa5a2b8686795ca537935a24efae476c41f05/nvidia_nvjitlink-13.0.88-py3-none-manylinux2010_x86_64.manylinux_2_12_x86_64.whl", hash = "sha256:13a74f429e23b921c1109976abefacc69835f2f433ebd323d3946e11d804e47b", size = 40713933, upload-time = "2025-09-04T08:35:43.553Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/2c/93c5250e64df4f894f1cbb397c6fd71f79813f9fd79d7cd61de3f97b3c2d/nvidia_nvjitlink-13.0.88-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:e931536ccc7d467a98ba1d8b89ff7fa7f1fa3b13f2b0069118cd7f47bff07d0c", size = 38768748, upload-time = "2025-09-04T08:35:20.008Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nvshmem-cu12"
|
||||
name = "nvidia-nvshmem-cu13"
|
||||
version = "3.4.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/b5/09/6ea3ea725f82e1e76684f0708bbedd871fc96da89945adeba65c3835a64c/nvidia_nvshmem_cu12-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:042f2500f24c021db8a06c5eec2539027d57460e1c1a762055a6554f72c369bd", size = 139103095, upload-time = "2025-09-06T00:32:31.266Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/0f/05cc9c720236dcd2db9c1ab97fff629e96821be2e63103569da0c9b72f19/nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:6dc2a197f38e5d0376ad52cd1a2a3617d3cdc150fd5966f4aee9bcebb1d68fe9", size = 60215947, upload-time = "2025-09-06T00:32:20.022Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/35/a9bf80a609e74e3b000fef598933235c908fcefcef9026042b8e6dfde2a9/nvidia_nvshmem_cu13-3.4.5-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:290f0a2ee94c9f3687a02502f3b9299a9f9fe826e6d0287ee18482e78d495b80", size = 60412546, upload-time = "2025-09-06T00:32:41.564Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "nvidia-nvtx-cu12"
|
||||
version = "12.8.90"
|
||||
name = "nvidia-nvtx"
|
||||
version = "13.0.85"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a2/eb/86626c1bbc2edb86323022371c39aa48df6fd8b0a1647bc274577f72e90b/nvidia_nvtx_cu12-12.8.90-py3-none-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:5b17e2001cc0d751a5bc2c6ec6d26ad95913324a4adb86788c944f8ce9ba441f", size = 89954, upload-time = "2025-03-07T01:42:44.131Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/f3/d86c845465a2723ad7e1e5c36dcd75ddb82898b3f53be47ebd429fb2fa5d/nvidia_nvtx-13.0.85-py3-none-manylinux1_x86_64.manylinux_2_5_x86_64.whl", hash = "sha256:4936d1d6780fbe68db454f5e72a42ff64d1fd6397df9f363ae786930fd5c1cd4", size = 148047, upload-time = "2025-09-04T08:29:01.761Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a8/64/3708a90d1ebe202ffdeb7185f878a3c84d15c2b2c31858da2ce0583e2def/nvidia_nvtx-13.0.85-py3-none-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:cb7780edb6b14107373c835bf8b72e7a178bac7367e23da7acb108f973f157a6", size = 148878, upload-time = "2025-09-04T08:28:53.627Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1994,30 +2057,30 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "polars"
|
||||
version = "1.38.1"
|
||||
version = "1.39.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "polars-runtime-32" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/c6/5e/208a24471a433bcd0e9a6889ac49025fd4daad2815c8220c5bd2576e5f1b/polars-1.38.1.tar.gz", hash = "sha256:803a2be5344ef880ad625addfb8f641995cfd777413b08a10de0897345778239", size = 717667, upload-time = "2026-02-06T18:13:23.013Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/93/ab/f19e592fce9e000da49c96bf35e77cef67f9cb4b040bfa538a2764c0263e/polars-1.39.3.tar.gz", hash = "sha256:2e016c7f3e8d14fa777ef86fe0477cec6c67023a20ba4c94d6e8431eefe4a63c", size = 728987, upload-time = "2026-03-20T11:16:24.836Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/0a/49/737c1a6273c585719858261753da0b688454d1b634438ccba8a9c4eb5aab/polars-1.38.1-py3-none-any.whl", hash = "sha256:a29479c48fed4984d88b656486d221f638cba45d3e961631a50ee5fdde38cb2c", size = 810368, upload-time = "2026-02-06T18:11:55.819Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b4/db/08f4ca10c5018813e7e0b59e4472302328b3d2ab1512f5a2157a814540e0/polars-1.39.3-py3-none-any.whl", hash = "sha256:c2b955ccc0a08a2bc9259785decf3d5c007b489b523bf2390cf21cec2bb82a56", size = 823985, upload-time = "2026-03-20T11:14:23.619Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "polars-runtime-32"
|
||||
version = "1.38.1"
|
||||
version = "1.39.3"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/07/4b/04d6b3fb7cf336fbe12fbc4b43f36d1783e11bb0f2b1e3980ec44878df06/polars_runtime_32-1.38.1.tar.gz", hash = "sha256:04f20ed1f5c58771f34296a27029dc755a9e4b1390caeaef8f317e06fdfce2ec", size = 2812631, upload-time = "2026-02-06T18:13:25.206Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/17/39/c8688696bc22b6c501e3b82ef3be10e543c07a785af5660f30997cd22dd2/polars_runtime_32-1.39.3.tar.gz", hash = "sha256:c728e4f469cafab501947585f36311b8fb222d3e934c6209e83791e0df20b29d", size = 2872335, upload-time = "2026-03-20T11:16:26.581Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/ae/a2/a00defbddadd8cf1042f52380dcba6b6592b03bac8e3b34c436b62d12d3b/polars_runtime_32-1.38.1-cp310-abi3-macosx_10_12_x86_64.whl", hash = "sha256:18154e96044724a0ac38ce155cf63aa03c02dd70500efbbf1a61b08cadd269ef", size = 44108001, upload-time = "2026-02-06T18:11:58.127Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a7/fb/599ff3709e6a303024efd7edfd08cf8de55c6ac39527d8f41cbc4399385f/polars_runtime_32-1.38.1-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:c49acac34cc4049ed188f1eb67d6ff3971a39b4af7f7b734b367119970f313ac", size = 40230140, upload-time = "2026-02-06T18:12:01.181Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/dc/8c/3ac18d6f89dc05fe2c7c0ee1dc5b81f77a5c85ad59898232c2500fe2ebbf/polars_runtime_32-1.38.1-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fef2ef2626a954e010e006cc8e4de467ecf32d08008f130cea1c78911f545323", size = 41994039, upload-time = "2026-02-06T18:12:04.332Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f2/5a/61d60ec5cc0ab37cbd5a699edb2f9af2875b7fdfdfb2a4608ca3cc5f0448/polars_runtime_32-1.38.1-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8a5f7a8125e2d50e2e060296551c929aec09be23a9edcb2b12ca923f555a5ba", size = 45755804, upload-time = "2026-02-06T18:12:07.846Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/91/54/02cd4074c98c361ccd3fec3bcb0bd68dbc639c0550c42a4436b0ff0f3ccf/polars_runtime_32-1.38.1-cp310-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:10d19cd9863e129273b18b7fcaab625b5c8143c2d22b3e549067b78efa32e4fa", size = 42159605, upload-time = "2026-02-06T18:12:10.919Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8e/f3/b2a5e720cc56eaa38b4518e63aa577b4bbd60e8b05a00fe43ca051be5879/polars_runtime_32-1.38.1-cp310-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:61e8d73c614b46a00d2f853625a7569a2e4a0999333e876354ac81d1bf1bb5e2", size = 45336615, upload-time = "2026-02-06T18:12:14.074Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f1/8d/ee2e4b7de948090cfb3df37d401c521233daf97bfc54ddec5d61d1d31618/polars_runtime_32-1.38.1-cp310-abi3-win_amd64.whl", hash = "sha256:08c2b3b93509c1141ac97891294ff5c5b0c548a373f583eaaea873a4bf506437", size = 45680732, upload-time = "2026-02-06T18:12:19.097Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/18/72c216f4ab0c82b907009668f79183ae029116ff0dd245d56ef58aac48e7/polars_runtime_32-1.38.1-cp310-abi3-win_arm64.whl", hash = "sha256:6d07d0cc832bfe4fb54b6e04218c2c27afcfa6b9498f9f6bbf262a00d58cc7c4", size = 41639413, upload-time = "2026-02-06T18:12:22.044Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3b/74/1b41205f7368c9375ab1dea91178eaa20435fe3eff036390a53a7660b416/polars_runtime_32-1.39.3-cp310-abi3-macosx_10_12_x86_64.whl", hash = "sha256:425c0b220b573fa097b4042edff73114cc6d23432a21dfd2dc41adf329d7d2e9", size = 45273243, upload-time = "2026-03-20T11:14:26.691Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/90/bf/297716b3095fe719be20fcf7af1d2b6ab069c38199bbace2469608a69b3a/polars_runtime_32-1.39.3-cp310-abi3-macosx_11_0_arm64.whl", hash = "sha256:ef5884711e3c617d7dc93519a7d038e242f5741cfe5fe9afd32d58845d86c562", size = 40842924, upload-time = "2026-03-20T11:14:31.154Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/3e/e65236d9d0d9babfa0ecba593413c06530fca60a8feb8f66243aa5dba92e/polars_runtime_32-1.39.3-cp310-abi3-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:06b47f535eb1f97a9a1e5b0053ef50db3a4276e241178e37bbb1a38b1fa53b14", size = 43220650, upload-time = "2026-03-20T11:14:35.458Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/15/fc3e43f3fdf3f20b7dfb5abe871ab6162cf8fb4aeabf4cfad822d5dc4c79/polars_runtime_32-1.39.3-cp310-abi3-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8bc9e13dc1d2e828331f2fe8ccbc9757554dc4933a8d3e85e906b988178f95ed", size = 46877498, upload-time = "2026-03-20T11:14:40.14Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/81/bd5f895919e32c6ab0a7786cd0c0ca961cb03152c47c3645808b54383f31/polars_runtime_32-1.39.3-cp310-abi3-musllinux_1_2_aarch64.whl", hash = "sha256:363d49e3a3e638fc943e2b9887940300a7d06789930855a178a4727949259dc2", size = 43380176, upload-time = "2026-03-20T11:14:45.566Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7a/3e/c86433c3b5ec0315bdfc7640d0c15d41f1216c0103a0eab9a9b5147d6c4c/polars_runtime_32-1.39.3-cp310-abi3-musllinux_1_2_x86_64.whl", hash = "sha256:7c206bdcc7bc62ea038d6adea8e44b02f0e675e0191a54c810703b4895208ea4", size = 46485933, upload-time = "2026-03-20T11:14:51.155Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/54/ce/200b310cf91f98e652eb6ea09fdb3a9718aa0293ebf113dce325797c8572/polars_runtime_32-1.39.3-cp310-abi3-win_amd64.whl", hash = "sha256:d66ca522517554a883446957539c40dc7b75eb0c2220357fb28bc8940d305339", size = 46995458, upload-time = "2026-03-20T11:14:56.074Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/da/76/2d48927e0aa2abbdde08cbf4a2536883b73277d47fbeca95e952de86df34/polars_runtime_32-1.39.3-cp310-abi3-win_arm64.whl", hash = "sha256:f49f51461de63f13e5dd4eb080421c8f23f856945f3f8bd5b2b1f59da52c2860", size = 41857648, upload-time = "2026-03-20T11:15:01.142Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -2557,36 +2620,36 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "ruff"
|
||||
version = "0.15.5"
|
||||
version = "0.15.7"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/77/9b/840e0039e65fcf12758adf684d2289024d6140cde9268cc59887dc55189c/ruff-0.15.5.tar.gz", hash = "sha256:7c3601d3b6d76dce18c5c824fc8d06f4eef33d6df0c21ec7799510cde0f159a2", size = 4574214, upload-time = "2026-03-05T20:06:34.946Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a1/22/9e4f66ee588588dc6c9af6a994e12d26e19efbe874d1a909d09a6dac7a59/ruff-0.15.7.tar.gz", hash = "sha256:04f1ae61fc20fe0b148617c324d9d009b5f63412c0b16474f3d5f1a1a665f7ac", size = 4601277, upload-time = "2026-03-19T16:26:22.605Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/47/20/5369c3ce21588c708bcbe517a8fbe1a8dfdb5dfd5137e14790b1da71612c/ruff-0.15.5-py3-none-linux_armv6l.whl", hash = "sha256:4ae44c42281f42e3b06b988e442d344a5b9b72450ff3c892e30d11b29a96a57c", size = 10478185, upload-time = "2026-03-05T20:06:29.093Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/44/ed/e81dd668547da281e5dce710cf0bc60193f8d3d43833e8241d006720e42b/ruff-0.15.5-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:6edd3792d408ebcf61adabc01822da687579a1a023f297618ac27a5b51ef0080", size = 10859201, upload-time = "2026-03-05T20:06:32.632Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c4/8f/533075f00aaf19b07c5cd6aa6e5d89424b06b3b3f4583bfa9c640a079059/ruff-0.15.5-py3-none-macosx_11_0_arm64.whl", hash = "sha256:89f463f7c8205a9f8dea9d658d59eff49db05f88f89cc3047fb1a02d9f344010", size = 10184752, upload-time = "2026-03-05T20:06:40.312Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/0e/ba49e2c3fa0395b3152bad634c7432f7edfc509c133b8f4529053ff024fb/ruff-0.15.5-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ba786a8295c6574c1116704cf0b9e6563de3432ac888d8f83685654fe528fd65", size = 10534857, upload-time = "2026-03-05T20:06:19.581Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/59/71/39234440f27a226475a0659561adb0d784b4d247dfe7f43ffc12dd02e288/ruff-0.15.5-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fd4b801e57955fe9f02b31d20375ab3a5c4415f2e5105b79fb94cf2642c91440", size = 10309120, upload-time = "2026-03-05T20:06:00.435Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f5/87/4140aa86a93df032156982b726f4952aaec4a883bb98cb6ef73c347da253/ruff-0.15.5-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:391f7c73388f3d8c11b794dbbc2959a5b5afe66642c142a6effa90b45f6f5204", size = 11047428, upload-time = "2026-03-05T20:05:51.867Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5a/f7/4953e7e3287676f78fbe85e3a0ca414c5ca81237b7575bdadc00229ac240/ruff-0.15.5-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:8dc18f30302e379fe1e998548b0f5e9f4dff907f52f73ad6da419ea9c19d66c8", size = 11914251, upload-time = "2026-03-05T20:06:22.887Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/77/46/0f7c865c10cf896ccf5a939c3e84e1cfaeed608ff5249584799a74d33835/ruff-0.15.5-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1cc6e7f90087e2d27f98dc34ed1b3ab7c8f0d273cc5431415454e22c0bd2a681", size = 11333801, upload-time = "2026-03-05T20:05:57.168Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/01/a10fe54b653061585e655f5286c2662ebddb68831ed3eaebfb0eb08c0a16/ruff-0.15.5-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c1cb7169f53c1ddb06e71a9aebd7e98fc0fea936b39afb36d8e86d36ecc2636a", size = 11206821, upload-time = "2026-03-05T20:06:03.441Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7a/0d/2132ceaf20c5e8699aa83da2706ecb5c5dcdf78b453f77edca7fb70f8a93/ruff-0.15.5-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:9b037924500a31ee17389b5c8c4d88874cc6ea8e42f12e9c61a3d754ff72f1ca", size = 11133326, upload-time = "2026-03-05T20:06:25.655Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/72/cb/2e5259a7eb2a0f87c08c0fe5bf5825a1e4b90883a52685524596bfc93072/ruff-0.15.5-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:65bb414e5b4eadd95a8c1e4804f6772bbe8995889f203a01f77ddf2d790929dd", size = 10510820, upload-time = "2026-03-05T20:06:37.79Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ff/20/b67ce78f9e6c59ffbdb5b4503d0090e749b5f2d31b599b554698a80d861c/ruff-0.15.5-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:d20aa469ae3b57033519c559e9bc9cd9e782842e39be05b50e852c7c981fa01d", size = 10302395, upload-time = "2026-03-05T20:05:54.504Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5f/e5/719f1acccd31b720d477751558ed74e9c88134adcc377e5e886af89d3072/ruff-0.15.5-py3-none-musllinux_1_2_i686.whl", hash = "sha256:15388dd28c9161cdb8eda68993533acc870aa4e646a0a277aa166de9ad5a8752", size = 10754069, upload-time = "2026-03-05T20:06:06.422Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c3/9c/d1db14469e32d98f3ca27079dbd30b7b44dbb5317d06ab36718dee3baf03/ruff-0.15.5-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:b30da330cbd03bed0c21420b6b953158f60c74c54c5f4c1dabbdf3a57bf355d2", size = 11304315, upload-time = "2026-03-05T20:06:10.867Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/28/3a/950367aee7c69027f4f422059227b290ed780366b6aecee5de5039d50fa8/ruff-0.15.5-py3-none-win32.whl", hash = "sha256:732e5ee1f98ba5b3679029989a06ca39a950cced52143a0ea82a2102cb592b74", size = 10551676, upload-time = "2026-03-05T20:06:13.705Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b8/00/bf077a505b4e649bdd3c47ff8ec967735ce2544c8e4a43aba42ee9bf935d/ruff-0.15.5-py3-none-win_amd64.whl", hash = "sha256:821d41c5fa9e19117616c35eaa3f4b75046ec76c65e7ae20a333e9a8696bc7fe", size = 11678972, upload-time = "2026-03-05T20:06:45.379Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/4e/cd76eca6db6115604b7626668e891c9dd03330384082e33662fb0f113614/ruff-0.15.5-py3-none-win_arm64.whl", hash = "sha256:b498d1c60d2fe5c10c45ec3f698901065772730b411f164ae270bb6bfcc4740b", size = 10965572, upload-time = "2026-03-05T20:06:16.984Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/41/2f/0b08ced94412af091807b6119ca03755d651d3d93a242682bf020189db94/ruff-0.15.7-py3-none-linux_armv6l.whl", hash = "sha256:a81cc5b6910fb7dfc7c32d20652e50fa05963f6e13ead3c5915c41ac5d16668e", size = 10489037, upload-time = "2026-03-19T16:26:32.47Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/91/4a/82e0fa632e5c8b1eba5ee86ecd929e8ff327bbdbfb3c6ac5d81631bef605/ruff-0.15.7-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:722d165bd52403f3bdabc0ce9e41fc47070ac56d7a91b4e0d097b516a53a3477", size = 10955433, upload-time = "2026-03-19T16:27:00.205Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/10/12586735d0ff42526ad78c049bf51d7428618c8b5c467e72508c694119df/ruff-0.15.7-py3-none-macosx_11_0_arm64.whl", hash = "sha256:7fbc2448094262552146cbe1b9643a92f66559d3761f1ad0656d4991491af49e", size = 10269302, upload-time = "2026-03-19T16:26:26.183Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/eb/5d/32b5c44ccf149a26623671df49cbfbd0a0ae511ff3df9d9d2426966a8d57/ruff-0.15.7-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6b39329b60eba44156d138275323cc726bbfbddcec3063da57caa8a8b1d50adf", size = 10607625, upload-time = "2026-03-19T16:27:03.263Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5d/f1/f0001cabe86173aaacb6eb9bb734aa0605f9a6aa6fa7d43cb49cbc4af9c9/ruff-0.15.7-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:87768c151808505f2bfc93ae44e5f9e7c8518943e5074f76ac21558ef5627c85", size = 10324743, upload-time = "2026-03-19T16:27:09.791Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/7a/87/b8a8f3d56b8d848008559e7c9d8bf367934d5367f6d932ba779456e2f73b/ruff-0.15.7-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fb0511670002c6c529ec66c0e30641c976c8963de26a113f3a30456b702468b0", size = 11138536, upload-time = "2026-03-19T16:27:06.101Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e4/f2/4fd0d05aab0c5934b2e1464784f85ba2eab9d54bffc53fb5430d1ed8b829/ruff-0.15.7-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e0d19644f801849229db8345180a71bee5407b429dd217f853ec515e968a6912", size = 11994292, upload-time = "2026-03-19T16:26:48.718Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/64/22/fc4483871e767e5e95d1622ad83dad5ebb830f762ed0420fde7dfa9d9b08/ruff-0.15.7-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4806d8e09ef5e84eb19ba833d0442f7e300b23fe3f0981cae159a248a10f0036", size = 11398981, upload-time = "2026-03-19T16:26:54.513Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b0/99/66f0343176d5eab02c3f7fcd2de7a8e0dd7a41f0d982bee56cd1c24db62b/ruff-0.15.7-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:dce0896488562f09a27b9c91b1f58a097457143931f3c4d519690dea54e624c5", size = 11242422, upload-time = "2026-03-19T16:26:29.277Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5d/3a/a7060f145bfdcce4c987ea27788b30c60e2c81d6e9a65157ca8afe646328/ruff-0.15.7-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:1852ce241d2bc89e5dc823e03cff4ce73d816b5c6cdadd27dbfe7b03217d2a12", size = 11232158, upload-time = "2026-03-19T16:26:42.321Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a7/53/90fbb9e08b29c048c403558d3cdd0adf2668b02ce9d50602452e187cd4af/ruff-0.15.7-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:5f3e4b221fb4bd293f79912fc5e93a9063ebd6d0dcbd528f91b89172a9b8436c", size = 10577861, upload-time = "2026-03-19T16:26:57.459Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2f/aa/5f486226538fe4d0f0439e2da1716e1acf895e2a232b26f2459c55f8ddad/ruff-0.15.7-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:b15e48602c9c1d9bdc504b472e90b90c97dc7d46c7028011ae67f3861ceba7b4", size = 10327310, upload-time = "2026-03-19T16:26:35.909Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/99/9e/271afdffb81fe7bfc8c43ba079e9d96238f674380099457a74ccb3863857/ruff-0.15.7-py3-none-musllinux_1_2_i686.whl", hash = "sha256:1b4705e0e85cedc74b0a23cf6a179dbb3df184cb227761979cc76c0440b5ab0d", size = 10840752, upload-time = "2026-03-19T16:26:45.723Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/29/a4ae78394f76c7759953c47884eb44de271b03a66634148d9f7d11e721bd/ruff-0.15.7-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:112c1fa316a558bb34319282c1200a8bf0495f1b735aeb78bfcb2991e6087580", size = 11336961, upload-time = "2026-03-19T16:26:39.076Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/26/6b/8786ba5736562220d588a2f6653e6c17e90c59ced34a2d7b512ef8956103/ruff-0.15.7-py3-none-win32.whl", hash = "sha256:6d39e2d3505b082323352f733599f28169d12e891f7dd407f2d4f54b4c2886de", size = 10582538, upload-time = "2026-03-19T16:26:15.992Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/2b/e9/346d4d3fffc6871125e877dae8d9a1966b254fbd92a50f8561078b88b099/ruff-0.15.7-py3-none-win_amd64.whl", hash = "sha256:4d53d712ddebcd7dace1bc395367aec12c057aacfe9adbb6d832302575f4d3a1", size = 11755839, upload-time = "2026-03-19T16:26:19.897Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8f/e8/726643a3ea68c727da31570bde48c7a10f1aa60eddd628d94078fec586ff/ruff-0.15.7-py3-none-win_arm64.whl", hash = "sha256:18e8d73f1c3fdf27931497972250340f92e8c861722161a9caeb89a58ead6ed2", size = 11023304, upload-time = "2026-03-19T16:26:51.669Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "setuptools"
|
||||
version = "82.0.0"
|
||||
version = "81.0.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/82/f3/748f4d6f65d1756b9ae577f329c951cda23fb900e4de9f70900ced962085/setuptools-82.0.0.tar.gz", hash = "sha256:22e0a2d69474c6ae4feb01951cb69d515ed23728cf96d05513d36e42b62b37cb", size = 1144893, upload-time = "2026-02-08T15:08:40.206Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/0d/1c/73e719955c59b8e424d015ab450f51c0af856ae46ea2da83eba51cc88de1/setuptools-81.0.0.tar.gz", hash = "sha256:487b53915f52501f0a79ccfd0c02c165ffe06631443a886740b91af4b7a5845a", size = 1198299, upload-time = "2026-02-06T21:10:39.601Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/e1/c6/76dc613121b793286a3f91621d7b75a2b493e0390ddca50f11993eadf192/setuptools-82.0.0-py3-none-any.whl", hash = "sha256:70b18734b607bd1da571d097d236cfcfacaf01de45717d59e6e04b96877532e0", size = 1003468, upload-time = "2026-02-08T15:08:38.723Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e1/e3/c164c88b2e5ce7b24d667b9bd83589cf4f3520d97cad01534cd3c4f55fdb/setuptools-81.0.0-py3-none-any.whl", hash = "sha256:fdd925d5c5d9f62e4b74b30d6dd7828ce236fd6ed998a08d81de62ce5a6310d6", size = 1062021, upload-time = "2026-02-06T21:10:37.175Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -2963,75 +3026,54 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "torch"
|
||||
version = "2.10.0"
|
||||
version = "2.11.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "cuda-bindings", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "cuda-bindings", marker = "sys_platform == 'linux'" },
|
||||
{ name = "cuda-toolkit", extra = ["cublas", "cudart", "cufft", "cufile", "cupti", "curand", "cusolver", "cusparse", "nvjitlink", "nvrtc", "nvtx"], marker = "sys_platform == 'linux'" },
|
||||
{ name = "filelock" },
|
||||
{ name = "fsspec" },
|
||||
{ name = "jinja2" },
|
||||
{ name = "networkx", version = "3.4.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
|
||||
{ name = "networkx", version = "3.6.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
|
||||
{ name = "nvidia-cublas-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cuda-cupti-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cuda-nvrtc-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cuda-runtime-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cudnn-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cufft-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cufile-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-curand-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cusolver-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cusparse-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cusparselt-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nccl-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nvjitlink-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nvshmem-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nvtx-cu12", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "setuptools", marker = "python_full_version >= '3.12'" },
|
||||
{ name = "nvidia-cudnn-cu13", marker = "sys_platform == 'linux'" },
|
||||
{ name = "nvidia-cusparselt-cu13", marker = "sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nccl-cu13", marker = "sys_platform == 'linux'" },
|
||||
{ name = "nvidia-nvshmem-cu13", marker = "sys_platform == 'linux'" },
|
||||
{ name = "setuptools" },
|
||||
{ name = "sympy" },
|
||||
{ name = "triton", marker = "platform_machine == 'x86_64' and sys_platform == 'linux'" },
|
||||
{ name = "triton", marker = "sys_platform == 'linux'" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/5b/30/bfebdd8ec77db9a79775121789992d6b3b75ee5494971294d7b4b7c999bc/torch-2.10.0-2-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:2b980edd8d7c0a68c4e951ee1856334a43193f98730d97408fbd148c1a933313", size = 79411457, upload-time = "2026-02-10T21:44:59.189Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0f/8b/4b61d6e13f7108f36910df9ab4b58fd389cc2520d54d81b88660804aad99/torch-2.10.0-2-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:418997cb02d0a0f1497cf6a09f63166f9f5df9f3e16c8a716ab76a72127c714f", size = 79423467, upload-time = "2026-02-10T21:44:48.711Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d3/54/a2ba279afcca44bbd320d4e73675b282fcee3d81400ea1b53934efca6462/torch-2.10.0-2-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:13ec4add8c3faaed8d13e0574f5cd4a323c11655546f91fbe6afa77b57423574", size = 79498202, upload-time = "2026-02-10T21:44:52.603Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ec/23/2c9fe0c9c27f7f6cb865abcea8a4568f29f00acaeadfc6a37f6801f84cb4/torch-2.10.0-2-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:e521c9f030a3774ed770a9c011751fb47c4d12029a3d6522116e48431f2ff89e", size = 79498254, upload-time = "2026-02-10T21:44:44.095Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/16/ee/efbd56687be60ef9af0c9c0ebe106964c07400eade5b0af8902a1d8cd58c/torch-2.10.0-3-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:a1ff626b884f8c4e897c4c33782bdacdff842a165fee79817b1dd549fdda1321", size = 915510070, upload-time = "2026-03-11T14:16:39.386Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/36/ab/7b562f1808d3f65414cd80a4f7d4bb00979d9355616c034c171249e1a303/torch-2.10.0-3-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:ac5bdcbb074384c66fa160c15b1ead77839e3fe7ed117d667249afce0acabfac", size = 915518691, upload-time = "2026-03-11T14:15:43.147Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b3/7a/abada41517ce0011775f0f4eacc79659bc9bc6c361e6bfe6f7052a6b9363/torch-2.10.0-3-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:98c01b8bb5e3240426dcde1446eed6f40c778091c8544767ef1168fc663a05a6", size = 915622781, upload-time = "2026-03-11T14:17:11.354Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/c6/4dfe238342ffdcec5aef1c96c457548762d33c40b45a1ab7033bb26d2ff2/torch-2.10.0-3-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:80b1b5bfe38eb0e9f5ff09f206dcac0a87aadd084230d4a36eea5ec5232c115b", size = 915627275, upload-time = "2026-03-11T14:16:11.325Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d8/f0/72bf18847f58f877a6a8acf60614b14935e2f156d942483af1ffc081aea0/torch-2.10.0-3-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:46b3574d93a2a8134b3f5475cfb98e2eb46771794c57015f6ad1fb795ec25e49", size = 915523474, upload-time = "2026-03-11T14:17:44.422Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f4/39/590742415c3030551944edc2ddc273ea1fdfe8ffb2780992e824f1ebee98/torch-2.10.0-3-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:b1d5e2aba4eb7f8e87fbe04f86442887f9167a35f092afe4c237dfcaaef6e328", size = 915632474, upload-time = "2026-03-11T14:15:13.666Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b6/8e/34949484f764dde5b222b7fe3fede43e4a6f0da9d7f8c370bb617d629ee2/torch-2.10.0-3-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:0228d20b06701c05a8f978357f657817a4a63984b0c90745def81c18aedfa591", size = 915523882, upload-time = "2026-03-11T14:14:46.311Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0c/1a/c61f36cfd446170ec27b3a4984f072fd06dab6b5d7ce27e11adb35d6c838/torch-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:5276fa790a666ee8becaffff8acb711922252521b28fbce5db7db5cf9cb2026d", size = 145992962, upload-time = "2026-01-21T16:24:14.04Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b5/60/6662535354191e2d1555296045b63e4279e5a9dbad49acf55a5d38655a39/torch-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:aaf663927bcd490ae971469a624c322202a2a1e68936eb952535ca4cd3b90444", size = 915599237, upload-time = "2026-01-21T16:23:25.497Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/40/b8/66bbe96f0d79be2b5c697b2e0b187ed792a15c6c4b8904613454651db848/torch-2.10.0-cp310-cp310-win_amd64.whl", hash = "sha256:a4be6a2a190b32ff5c8002a0977a25ea60e64f7ba46b1be37093c141d9c49aeb", size = 113720931, upload-time = "2026-01-21T16:24:23.743Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/76/bb/d820f90e69cda6c8169b32a0c6a3ab7b17bf7990b8f2c680077c24a3c14c/torch-2.10.0-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:35e407430795c8d3edb07a1d711c41cc1f9eaddc8b2f1cc0a165a6767a8fb73d", size = 79411450, upload-time = "2026-01-21T16:25:30.692Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/78/89/f5554b13ebd71e05c0b002f95148033e730d3f7067f67423026cc9c69410/torch-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:3282d9febd1e4e476630a099692b44fdc214ee9bf8ee5377732d9d9dfe5712e4", size = 145992610, upload-time = "2026-01-21T16:25:26.327Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ae/30/a3a2120621bf9c17779b169fc17e3dc29b230c29d0f8222f499f5e159aa8/torch-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:a2f9edd8dbc99f62bc4dfb78af7bf89499bca3d753423ac1b4e06592e467b763", size = 915607863, upload-time = "2026-01-21T16:25:06.696Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6f/3d/c87b33c5f260a2a8ad68da7147e105f05868c281c63d65ed85aa4da98c66/torch-2.10.0-cp311-cp311-win_amd64.whl", hash = "sha256:29b7009dba4b7a1c960260fc8ac85022c784250af43af9fb0ebafc9883782ebd", size = 113723116, upload-time = "2026-01-21T16:25:21.916Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/61/d8/15b9d9d3a6b0c01b883787bd056acbe5cc321090d4b216d3ea89a8fcfdf3/torch-2.10.0-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:b7bd80f3477b830dd166c707c5b0b82a898e7b16f59a7d9d42778dd058272e8b", size = 79423461, upload-time = "2026-01-21T16:24:50.266Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cc/af/758e242e9102e9988969b5e621d41f36b8f258bb4a099109b7a4b4b50ea4/torch-2.10.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:5fd4117d89ffd47e3dcc71e71a22efac24828ad781c7e46aaaf56bf7f2796acf", size = 145996088, upload-time = "2026-01-21T16:24:44.171Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/23/8e/3c74db5e53bff7ed9e34c8123e6a8bfef718b2450c35eefab85bb4a7e270/torch-2.10.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:787124e7db3b379d4f1ed54dd12ae7c741c16a4d29b49c0226a89bea50923ffb", size = 915711952, upload-time = "2026-01-21T16:23:53.503Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6e/01/624c4324ca01f66ae4c7cd1b74eb16fb52596dce66dbe51eff95ef9e7a4c/torch-2.10.0-cp312-cp312-win_amd64.whl", hash = "sha256:2c66c61f44c5f903046cc696d088e21062644cbe541c7f1c4eaae88b2ad23547", size = 113757972, upload-time = "2026-01-21T16:24:39.516Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c9/5c/dee910b87c4d5c0fcb41b50839ae04df87c1cfc663cf1b5fca7ea565eeaa/torch-2.10.0-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:6d3707a61863d1c4d6ebba7be4ca320f42b869ee657e9b2c21c736bf17000294", size = 79498198, upload-time = "2026-01-21T16:24:34.704Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c9/6f/f2e91e34e3fcba2e3fc8d8f74e7d6c22e74e480bbd1db7bc8900fdf3e95c/torch-2.10.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:5c4d217b14741e40776dd7074d9006fd28b8a97ef5654db959d8635b2fe5f29b", size = 146004247, upload-time = "2026-01-21T16:24:29.335Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/98/fb/5160261aeb5e1ee12ee95fe599d0541f7c976c3701d607d8fc29e623229f/torch-2.10.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:6b71486353fce0f9714ca0c9ef1c850a2ae766b409808acd58e9678a3edb7738", size = 915716445, upload-time = "2026-01-21T16:22:45.353Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6a/16/502fb1b41e6d868e8deb5b0e3ae926bbb36dab8ceb0d1b769b266ad7b0c3/torch-2.10.0-cp313-cp313-win_amd64.whl", hash = "sha256:c2ee399c644dc92ef7bc0d4f7e74b5360c37cdbe7c5ba11318dda49ffac2bc57", size = 113757050, upload-time = "2026-01-21T16:24:19.204Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/0b/39929b148f4824bc3ad6f9f72a29d4ad865bcf7ebfc2fa67584773e083d2/torch-2.10.0-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:3202429f58309b9fa96a614885eace4b7995729f44beb54d3e4a47773649d382", size = 79851305, upload-time = "2026-01-21T16:24:09.209Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d8/14/21fbce63bc452381ba5f74a2c0a959fdf5ad5803ccc0c654e752e0dbe91a/torch-2.10.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:aae1b29cd68e50a9397f5ee897b9c24742e9e306f88a807a27d617f07adb3bd8", size = 146005472, upload-time = "2026-01-21T16:22:29.022Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/54/fd/b207d1c525cb570ef47f3e9f836b154685011fce11a2f444ba8a4084d042/torch-2.10.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:6021db85958db2f07ec94e1bc77212721ba4920c12a18dc552d2ae36a3eb163f", size = 915612644, upload-time = "2026-01-21T16:21:47.019Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/36/53/0197f868c75f1050b199fe58f9bf3bf3aecac9b4e85cc9c964383d745403/torch-2.10.0-cp313-cp313t-win_amd64.whl", hash = "sha256:ff43db38af76fda183156153983c9a096fc4c78d0cd1e07b14a2314c7f01c2c8", size = 113997015, upload-time = "2026-01-21T16:23:00.767Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0e/13/e76b4d9c160e89fff48bf16b449ea324bda84745d2ab30294c37c2434c0d/torch-2.10.0-cp313-none-macosx_11_0_arm64.whl", hash = "sha256:cdf2a523d699b70d613243211ecaac14fe9c5df8a0b0a9c02add60fb2a413e0f", size = 79498248, upload-time = "2026-01-21T16:23:09.315Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/4f/93/716b5ac0155f1be70ed81bacc21269c3ece8dba0c249b9994094110bfc51/torch-2.10.0-cp314-cp314-macosx_14_0_arm64.whl", hash = "sha256:bf0d9ff448b0218e0433aeb198805192346c4fd659c852370d5cc245f602a06a", size = 79464992, upload-time = "2026-01-21T16:23:05.162Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/69/2b/51e663ff190c9d16d4a8271203b71bc73a16aa7619b9f271a69b9d4a936b/torch-2.10.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:233aed0659a2503b831d8a67e9da66a62c996204c0bba4f4c442ccc0c68a3f60", size = 146018567, upload-time = "2026-01-21T16:22:23.393Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/5e/cd/4b95ef7f293b927c283db0b136c42be91c8ec6845c44de0238c8c23bdc80/torch-2.10.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:682497e16bdfa6efeec8cde66531bc8d1fbbbb4d8788ec6173c089ed3cc2bfe5", size = 915721646, upload-time = "2026-01-21T16:21:16.983Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/56/97/078a007208f8056d88ae43198833469e61a0a355abc0b070edd2c085eb9a/torch-2.10.0-cp314-cp314-win_amd64.whl", hash = "sha256:6528f13d2a8593a1a412ea07a99812495bec07e9224c28b2a25c0a30c7da025c", size = 113752373, upload-time = "2026-01-21T16:22:13.471Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d8/94/71994e7d0d5238393df9732fdab607e37e2b56d26a746cb59fdb415f8966/torch-2.10.0-cp314-cp314t-macosx_14_0_arm64.whl", hash = "sha256:f5ab4ba32383061be0fb74bda772d470140a12c1c3b58a0cfbf3dae94d164c28", size = 79850324, upload-time = "2026-01-21T16:22:09.494Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e2/65/1a05346b418ea8ccd10360eef4b3e0ce688fba544e76edec26913a8d0ee0/torch-2.10.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:716b01a176c2a5659c98f6b01bf868244abdd896526f1c692712ab36dbaf9b63", size = 146006482, upload-time = "2026-01-21T16:22:18.42Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1d/b9/5f6f9d9e859fc3235f60578fa64f52c9c6e9b4327f0fe0defb6de5c0de31/torch-2.10.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:d8f5912ba938233f86361e891789595ff35ca4b4e2ac8fe3670895e5976731d6", size = 915613050, upload-time = "2026-01-21T16:20:49.035Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/4d/35352043ee0eaffdeff154fad67cd4a31dbed7ff8e3be1cc4549717d6d51/torch-2.10.0-cp314-cp314t-win_amd64.whl", hash = "sha256:71283a373f0ee2c89e0f0d5f446039bdabe8dbc3c9ccf35f0f784908b0acd185", size = 113995816, upload-time = "2026-01-21T16:22:05.312Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ac/f2/c1690994afe461aae2d0cac62251e6802a703dec0a6c549c02ecd0de92a9/torch-2.11.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2c0d7fcfbc0c4e8bb5ebc3907cbc0c6a0da1b8f82b1fc6e14e914fa0b9baf74e", size = 80526521, upload-time = "2026-03-23T18:12:06.86Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a4/f0/98ae802fa8c09d3149b0c8690741f3f5753c90e779bd28c9613257295945/torch-2.11.0-cp310-cp310-manylinux_2_28_aarch64.whl", hash = "sha256:4cf8687f4aec3900f748d553483ef40e0ac38411c3c48d0a86a438f6d7a99b18", size = 419723025, upload-time = "2026-03-23T18:11:43.774Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f9/1e/18a9b10b4bd34f12d4e561c52b0ae7158707b8193c6cfc0aad2b48167090/torch-2.11.0-cp310-cp310-manylinux_2_28_x86_64.whl", hash = "sha256:1b32ceda909818a03b112006709b02be1877240c31750a8d9c6b7bf5f2d8a6e5", size = 530589207, upload-time = "2026-03-23T18:11:23.756Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/35/40/2d532e8c0e23705be9d1debce5bc37b68d59a39bda7584c26fe9668076fe/torch-2.11.0-cp310-cp310-win_amd64.whl", hash = "sha256:b3c712ae6fb8e7a949051a953fc412fe0a6940337336c3b6f905e905dac5157f", size = 114518313, upload-time = "2026-03-23T18:11:58.281Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ae/0d/98b410492609e34a155fa8b121b55c7dca229f39636851c3a9ec20edea21/torch-2.11.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7b6a60d48062809f58595509c524b88e6ddec3ebe25833d6462eeab81e5f2ce4", size = 80529712, upload-time = "2026-03-23T18:12:02.608Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/84/03/acea680005f098f79fd70c1d9d5ccc0cb4296ec2af539a0450108232fc0c/torch-2.11.0-cp311-cp311-manylinux_2_28_aarch64.whl", hash = "sha256:d91aac77f24082809d2c5a93f52a5f085032740a1ebc9252a7b052ef5a4fddc6", size = 419718178, upload-time = "2026-03-23T18:10:46.675Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8c/8b/d7be22fbec9ffee6cff31a39f8750d4b3a65d349a286cf4aec74c2375662/torch-2.11.0-cp311-cp311-manylinux_2_28_x86_64.whl", hash = "sha256:7aa2f9bbc6d4595ba72138026b2074be1233186150e9292865e04b7a63b8c67a", size = 530604548, upload-time = "2026-03-23T18:10:03.569Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d1/bd/9912d30b68845256aabbb4a40aeefeef3c3b20db5211ccda653544ada4b6/torch-2.11.0-cp311-cp311-win_amd64.whl", hash = "sha256:73e24aaf8f36ab90d95cd1761208b2eb70841c2a9ca1a3f9061b39fc5331b708", size = 114519675, upload-time = "2026-03-23T18:11:52.995Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6f/8b/69e3008d78e5cee2b30183340cc425081b78afc5eff3d080daab0adda9aa/torch-2.11.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:4b5866312ee6e52ea625cd211dcb97d6a2cdc1131a5f15cc0d87eec948f6dd34", size = 80606338, upload-time = "2026-03-23T18:11:34.781Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/13/16/42e5915ebe4868caa6bac83a8ed59db57f12e9a61b7d749d584776ed53d5/torch-2.11.0-cp312-cp312-manylinux_2_28_aarch64.whl", hash = "sha256:f99924682ef0aa6a4ab3b1b76f40dc6e273fca09f367d15a524266db100a723f", size = 419731115, upload-time = "2026-03-23T18:11:06.944Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1a/c9/82638ef24d7877510f83baf821f5619a61b45568ce21c0a87a91576510aa/torch-2.11.0-cp312-cp312-manylinux_2_28_x86_64.whl", hash = "sha256:0f68f4ac6d95d12e896c3b7a912b5871619542ec54d3649cf48cc1edd4dd2756", size = 530712279, upload-time = "2026-03-23T18:10:31.481Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/1c/ff/6756f1c7ee302f6d202120e0f4f05b432b839908f9071157302cedfc5232/torch-2.11.0-cp312-cp312-win_amd64.whl", hash = "sha256:fbf39280699d1b869f55eac536deceaa1b60bd6788ba74f399cc67e60a5fab10", size = 114556047, upload-time = "2026-03-23T18:10:55.931Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/89/5ea6722763acee56b045435fb84258db7375c48165ec8be7880ab2b281c5/torch-2.11.0-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:1e6debd97ccd3205bbb37eb806a9d8219e1139d15419982c09e23ef7d4369d18", size = 80606801, upload-time = "2026-03-23T18:10:18.649Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/32/d1/8ed2173589cbfe744ed54e5a73efc107c0085ba5777ee93a5f4c1ab90553/torch-2.11.0-cp313-cp313-manylinux_2_28_aarch64.whl", hash = "sha256:63a68fa59de8f87acc7e85a5478bb2dddbb3392b7593ec3e78827c793c4b73fd", size = 419732382, upload-time = "2026-03-23T18:08:30.835Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/e1/b73f7c575a4b8f87a5928f50a1e35416b5e27295d8be9397d5293e7e8d4c/torch-2.11.0-cp313-cp313-manylinux_2_28_x86_64.whl", hash = "sha256:cc89b9b173d9adfab59fd227f0ab5e5516d9a52b658ae41d64e59d2e55a418db", size = 530711509, upload-time = "2026-03-23T18:08:47.213Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/66/82/3e3fcdd388fbe54e29fd3f991f36846ff4ac90b0d0181e9c8f7236565f82/torch-2.11.0-cp313-cp313-win_amd64.whl", hash = "sha256:4dda3b3f52d121063a731ddb835f010dc137b920d7fec2778e52f60d8e4bf0cd", size = 114555842, upload-time = "2026-03-23T18:09:52.111Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/db/38/8ac78069621b8c2b4979c2f96dc8409ef5e9c4189f6aac629189a78677ca/torch-2.11.0-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:8b394322f49af4362d4f80e424bcaca7efcd049619af03a4cf4501520bdf0fb4", size = 80959574, upload-time = "2026-03-23T18:10:14.214Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/6d/6c/56bfb37073e7136e6dd86bfc6af7339946dd684e0ecf2155ac0eee687ae1/torch-2.11.0-cp313-cp313t-manylinux_2_28_aarch64.whl", hash = "sha256:2658f34ce7e2dabf4ec73b45e2ca68aedad7a5be87ea756ad656eaf32bf1e1ea", size = 419732324, upload-time = "2026-03-23T18:09:36.604Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/07/f4/1b666b6d61d3394cca306ea543ed03a64aad0a201b6cd159f1d41010aeb1/torch-2.11.0-cp313-cp313t-manylinux_2_28_x86_64.whl", hash = "sha256:98bb213c3084cfe176302949bdc360074b18a9da7ab59ef2edc9d9f742504778", size = 530596026, upload-time = "2026-03-23T18:09:20.842Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/48/6b/30d1459fa7e4b67e9e3fe1685ca1d8bb4ce7c62ef436c3a615963c6c866c/torch-2.11.0-cp313-cp313t-win_amd64.whl", hash = "sha256:a97b94bbf62992949b4730c6cd2cc9aee7b335921ee8dc207d930f2ed09ae2db", size = 114793702, upload-time = "2026-03-23T18:09:47.304Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/26/0d/8603382f61abd0db35841148ddc1ffd607bf3100b11c6e1dab6d2fc44e72/torch-2.11.0-cp314-cp314-macosx_11_0_arm64.whl", hash = "sha256:01018087326984a33b64e04c8cb5c2795f9120e0d775ada1f6638840227b04d7", size = 80573442, upload-time = "2026-03-23T18:09:10.117Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c7/86/7cd7c66cb9cec6be330fff36db5bd0eef386d80c031b581ec81be1d4b26c/torch-2.11.0-cp314-cp314-manylinux_2_28_aarch64.whl", hash = "sha256:2bb3cc54bd0dea126b0060bb1ec9de0f9c7f7342d93d436646516b0330cd5be7", size = 419749385, upload-time = "2026-03-23T18:07:33.77Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/47/e8/b98ca2d39b2e0e4730c0ee52537e488e7008025bc77ca89552ff91021f7c/torch-2.11.0-cp314-cp314-manylinux_2_28_x86_64.whl", hash = "sha256:4dc8b3809469b6c30b411bb8c4cad3828efd26236153d9beb6a3ec500f211a60", size = 530716756, upload-time = "2026-03-23T18:07:50.02Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/78/88/d4a4cda8362f8a30d1ed428564878c3cafb0d87971fbd3947d4c84552095/torch-2.11.0-cp314-cp314-win_amd64.whl", hash = "sha256:2b4e811728bd0cc58fb2b0948fe939a1ee2bf1422f6025be2fca4c7bd9d79718", size = 114552300, upload-time = "2026-03-23T18:09:05.617Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/46/4419098ed6d801750f26567b478fc185c3432e11e2cad712bc6b4c2ab0d0/torch-2.11.0-cp314-cp314t-macosx_11_0_arm64.whl", hash = "sha256:8245477871c3700d4370352ffec94b103cfcb737229445cf9946cddb7b2ca7cd", size = 80959460, upload-time = "2026-03-23T18:09:00.818Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/fd/66/54a56a4a6ceaffb567231994a9745821d3af922a854ed33b0b3a278e0a99/torch-2.11.0-cp314-cp314t-manylinux_2_28_aarch64.whl", hash = "sha256:ab9a8482f475f9ba20e12db84b0e55e2f58784bdca43a854a6ccd3fd4b9f75e6", size = 419735835, upload-time = "2026-03-23T18:07:18.974Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b1/e7/0b6665f533aa9e337662dc190425abc0af1fe3234088f4454c52393ded61/torch-2.11.0-cp314-cp314t-manylinux_2_28_x86_64.whl", hash = "sha256:563ed3d25542d7e7bbc5b235ccfacfeb97fb470c7fee257eae599adb8005c8a2", size = 530613405, upload-time = "2026-03-23T18:08:07.014Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/cf/bf/c8d12a2c86dbfd7f40fb2f56fbf5a505ccf2d9ce131eb559dfc7c51e1a04/torch-2.11.0-cp314-cp314t-win_amd64.whl", hash = "sha256:b2a43985ff5ef6ddd923bbcf99943e5f58059805787c5c9a2622bf05ca2965b0", size = 114792991, upload-time = "2026-03-23T18:08:19.216Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -3051,12 +3093,19 @@ name = "triton"
|
||||
version = "3.6.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/44/ba/b1b04f4b291a3205d95ebd24465de0e5bf010a2df27a4e58a9b5f039d8f2/triton-3.6.0-cp310-cp310-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:6c723cfb12f6842a0ae94ac307dba7e7a44741d720a40cf0e270ed4a4e3be781", size = 175972180, upload-time = "2026-01-20T16:15:53.664Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8c/f7/f1c9d3424ab199ac53c2da567b859bcddbb9c9e7154805119f8bd95ec36f/triton-3.6.0-cp310-cp310-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a6550fae429e0667e397e5de64b332d1e5695b73650ee75a6146e2e902770bea", size = 188105201, upload-time = "2026-01-20T16:00:29.272Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0f/2c/96f92f3c60387e14cc45aed49487f3486f89ea27106c1b1376913c62abe4/triton-3.6.0-cp311-cp311-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:49df5ef37379c0c2b5c0012286f80174fcf0e073e5ade1ca9a86c36814553651", size = 176081190, upload-time = "2026-01-20T16:16:00.523Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/e0/12/b05ba554d2c623bffa59922b94b0775673de251f468a9609bc9e45de95e9/triton-3.6.0-cp311-cp311-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:e8e323d608e3a9bfcc2d9efcc90ceefb764a82b99dea12a86d643c72539ad5d3", size = 188214640, upload-time = "2026-01-20T16:00:35.869Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/17/5d/08201db32823bdf77a0e2b9039540080b2e5c23a20706ddba942924ebcd6/triton-3.6.0-cp312-cp312-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:374f52c11a711fd062b4bfbb201fd9ac0a5febd28a96fb41b4a0f51dde3157f4", size = 176128243, upload-time = "2026-01-20T16:16:07.857Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ab/a8/cdf8b3e4c98132f965f88c2313a4b493266832ad47fb52f23d14d4f86bb5/triton-3.6.0-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:74caf5e34b66d9f3a429af689c1c7128daba1d8208df60e81106b115c00d6fca", size = 188266850, upload-time = "2026-01-20T16:00:43.041Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/12/34d71b350e89a204c2c7777a9bba0dcf2f19a5bfdd70b57c4dbc5ffd7154/triton-3.6.0-cp313-cp313-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:448e02fe6dc898e9e5aa89cf0ee5c371e99df5aa5e8ad976a80b93334f3494fd", size = 176133521, upload-time = "2026-01-20T16:16:13.321Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f9/0b/37d991d8c130ce81a8728ae3c25b6e60935838e9be1b58791f5997b24a54/triton-3.6.0-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:10c7f76c6e72d2ef08df639e3d0d30729112f47a56b0c81672edc05ee5116ac9", size = 188289450, upload-time = "2026-01-20T16:00:49.136Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ce/4e/41b0c8033b503fd3cfcd12392cdd256945026a91ff02452bef40ec34bee7/triton-3.6.0-cp313-cp313t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:1722e172d34e32abc3eb7711d0025bb69d7959ebea84e3b7f7a341cd7ed694d6", size = 176276087, upload-time = "2026-01-20T16:16:18.989Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/35/f8/9c66bfc55361ec6d0e4040a0337fb5924ceb23de4648b8a81ae9d33b2b38/triton-3.6.0-cp313-cp313t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d002e07d7180fd65e622134fbd980c9a3d4211fb85224b56a0a0efbd422ab72f", size = 188400296, upload-time = "2026-01-20T16:00:56.042Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/49/55/5ecf0dcaa0f2fbbd4420f7ef227ee3cb172e91e5fede9d0ecaddc43363b4/triton-3.6.0-cp314-cp314-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:ef5523241e7d1abca00f1d240949eebdd7c673b005edbbce0aca95b8191f1d43", size = 176138577, upload-time = "2026-01-20T16:16:25.426Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/df/3d/9e7eee57b37c80cec63322c0231bb6da3cfe535a91d7a4d64896fcb89357/triton-3.6.0-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:a17a5d5985f0ac494ed8a8e54568f092f7057ef60e1b0fa09d3fd1512064e803", size = 188273063, upload-time = "2026-01-20T16:01:07.278Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/48/db/56ee649cab5eaff4757541325aca81f52d02d4a7cd3506776cad2451e060/triton-3.6.0-cp314-cp314t-manylinux_2_27_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:0b3a97e8ed304dfa9bd23bb41ca04cdf6b2e617d5e782a8653d616037a5d537d", size = 176274804, upload-time = "2026-01-20T16:16:31.528Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f6/56/6113c23ff46c00aae423333eb58b3e60bdfe9179d542781955a5e1514cb3/triton-3.6.0-cp314-cp314t-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:46bd1c1af4b6704e554cad2eeb3b0a6513a980d470ccfa63189737340c7746a7", size = 188397994, upload-time = "2026-01-20T16:01:14.236Z" },
|
||||
]
|
||||
|
||||
@@ -3101,16 +3150,16 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "uvicorn"
|
||||
version = "0.41.0"
|
||||
version = "0.42.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "click", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" },
|
||||
{ name = "h11", marker = "python_full_version < '3.11' or sys_platform != 'emscripten'" },
|
||||
{ name = "typing-extensions", marker = "python_full_version < '3.11'" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/32/ce/eeb58ae4ac36fe09e3842eb02e0eb676bf2c53ae062b98f1b2531673efdd/uvicorn-0.41.0.tar.gz", hash = "sha256:09d11cf7008da33113824ee5a1c6422d89fbc2ff476540d69a34c87fab8b571a", size = 82633, upload-time = "2026-02-16T23:07:24.1Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/e3/ad/4a96c425be6fb67e0621e62d86c402b4a17ab2be7f7c055d9bd2f638b9e2/uvicorn-0.42.0.tar.gz", hash = "sha256:9b1f190ce15a2dd22e7758651d9b6d12df09a13d51ba5bf4fc33c383a48e1775", size = 85393, upload-time = "2026-03-16T06:19:50.077Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/83/e4/d04a086285c20886c0daad0e026f250869201013d18f81d9ff5eada73a88/uvicorn-0.41.0-py3-none-any.whl", hash = "sha256:29e35b1d2c36a04b9e180d4007ede3bcb32a85fbdfd6c6aeb3f26839de088187", size = 68783, upload-time = "2026-02-16T23:07:22.357Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/0a/89/f8827ccff89c1586027a105e5630ff6139a64da2515e24dafe860bd9ae4d/uvicorn-0.42.0-py3-none-any.whl", hash = "sha256:96c30f5c7abe6f74ae8900a70e92b85ad6613b745d4879eb9b16ccad15645359", size = 68830, upload-time = "2026-03-16T06:19:48.325Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
Reference in New Issue
Block a user