diff --git a/examples/python/blueprint_stocks_timerange/README.md b/examples/python/blueprint_stocks_timerange/README.md new file mode 100644 index 000000000000..2e6e9406e139 --- /dev/null +++ b/examples/python/blueprint_stocks_timerange/README.md @@ -0,0 +1,42 @@ + + +This example fetches the last 5 days of stock data for a few different stocks. +We show how Rerun blueprints can then be used to present many different views of the same data. + +This is an alternative version of the blueprint_stocks example that uses time ranges to create the daily +time series for each stock. This allows the underlying data to be stored on a single entity rather than +splitting it across multiple entities for each day. + + + + + + + + + + +```bash +pip install -e examples/python/blueprint_stocks_timerange +``` + +```bash +python -m blueprint_stocks_timerange +``` + +The different blueprints can be explored using the `--blueprint` flag. For example: + +``` +python -m blueprint_stocks_timerange --blueprint=compare +``` + +Available choices are: + +- `one`: Uses a filter and time range to show only a single chart. +- `compare`: Compares two stocks on several different days. +- `grid`: Shows all the charts in a grid layout. diff --git a/examples/python/blueprint_stocks_timerange/blueprint_stocks_timerange.py b/examples/python/blueprint_stocks_timerange/blueprint_stocks_timerange.py new file mode 100755 index 000000000000..eec7de88c0ea --- /dev/null +++ b/examples/python/blueprint_stocks_timerange/blueprint_stocks_timerange.py @@ -0,0 +1,231 @@ +#!/usr/bin/env python3 +""" +A simple application that fetches stock data from Yahoo Finance and visualizes it using the Rerun SDK. + +The main focus of this example is using blueprints to control how the data is displayed in the viewer. + +This is an alternative version of the blueprint_stocks example that uses time ranges to create the daily +time series for each stock. This allows the underlying data to be stored on a single entity rather than +splitting it across multiple entities for each day. +""" + +from __future__ import annotations + +import argparse +import datetime as dt +from typing import Any + +import humanize +import pytz +import rerun as rr +import rerun.blueprint as rrb +import yfinance as yf + +################################################################################ +# Helper functions to create blueprints +################################################################################ + + +def auto_blueprint() -> rrb.BlueprintLike: + """A blueprint enabling auto space views, which matches the application default.""" + return rrb.Blueprint(auto_space_views=True, auto_layout=True) + + +def time_ranges_for_day(day: dt.date) -> list[rrb.VisibleTimeRange]: + """Create a time range for a single day.""" + open = dt.datetime.combine(day, dt.time(9, 30)).timestamp() + close = dt.datetime.combine(day, dt.time(16, 0)).timestamp() + return [ + rrb.VisibleTimeRange( + "time", + start=rrb.TimeRangeBoundary.absolute(seconds=open), + end=rrb.TimeRangeBoundary.absolute(seconds=close), + ) + ] + + +def one_stock_on_day(symbol: str, day: dt.date) -> rrb.ContainerLike: + """Create a blueprint showing a single stock.""" + return rrb.TimeSeriesView( + name=f"{symbol}: {day}", + origin=f"/stocks/{symbol}", + time_ranges=time_ranges_for_day(day), + ) + + +def compare_two_over_time(symbol1: str, symbol2: str, dates: list[dt.date]) -> rrb.ContainerLike: + """Create a blueprint comparing 2 stocks for a single day.""" + return rrb.Vertical( + name=f"{symbol1} vs {symbol2}", + contents=[ + rrb.TimeSeriesView( + name=f"{day}", + origin="/stocks", + contents=[ + f"+ $origin/{symbol1}", + f"+ $origin/{symbol2}", + ], + time_ranges=time_ranges_for_day(day), + ) + for day in dates + ], + ) + + +def stock_grid(symbols: list[str], dates: list[Any]) -> rrb.ContainerLike: + """Create a grid of stocks and their time series over all days.""" + return rrb.Vertical( + contents=[ + rrb.Horizontal( + contents=[rrb.TextDocumentView(name=f"{symbol}", origin=f"/stocks/{symbol}/info")] + + [ + rrb.TimeSeriesView( + name=f"{day}", + origin=f"/stocks/{symbol}", + time_ranges=time_ranges_for_day(day), + ) + for day in dates + ], + name=symbol, + ) + for symbol in symbols + ] + ) + + +def hide_panels(viewport: rrb.ContainerLike) -> rrb.BlueprintLike: + """Wrap a viewport in a blueprint that hides the time and selection panels.""" + return rrb.Blueprint( + viewport, + rrb.TimePanel(expanded=True), + rrb.SelectionPanel(expanded=False), + ) + + +################################################################################ +# Helper functions for styling +################################################################################ + +brand_colors = { + "AAPL": 0xA2AAADFF, + "AMZN": 0xFF9900FF, + "GOOGL": 0x34A853FF, + "META": 0x0081FBFF, + "MSFT": 0xF14F21FF, +} + + +def style_plot(symbol: str) -> rr.SeriesLine: + return rr.SeriesLine( + color=brand_colors[symbol], + name=symbol, + ) + + +def style_peak(symbol: str) -> rr.SeriesPoint: + return rr.SeriesPoint( + color=0xFF0000FF, + name=f"{symbol} (peak)", + marker="Up", + ) + + +################################################################################ +# Main script +################################################################################ + + +def main() -> None: + parser = argparse.ArgumentParser(description="Visualize stock data using the Rerun SDK") + parser.add_argument( + "--blueprint", + choices=["auto", "one", "compare", "grid"], + default="grid", + help="Select the blueprint to use", + ) + parser.add_argument( + "--show_panels", + action="store_true", + help="Show the time and selection panels", + ) + + rr.script_add_args(parser) + args = parser.parse_args() + + et_timezone = pytz.timezone("America/New_York") + current_date = dt.datetime.now(et_timezone).date() + symbols = ["AAPL", "AMZN", "GOOGL", "META", "MSFT"] + dates = list(filter(lambda x: x.weekday() < 5, [current_date - dt.timedelta(days=i) for i in range(7, 0, -1)])) + + if args.blueprint == "auto": + blueprint = auto_blueprint() + else: + if args.blueprint == "one": + viewport = one_stock_on_day("AAPL", dates[3]) + elif args.blueprint == "compare": + viewport = compare_two_over_time("META", "MSFT", dates) + elif args.blueprint == "grid": + viewport = stock_grid(symbols, dates) + else: + raise ValueError(f"Unknown blueprint: {args.blueprint}") + + if not args.show_panels: + blueprint = hide_panels(viewport) + else: + blueprint = viewport + + rr.script_setup(args, "rerun_example_blueprint_stocks") + rr.send_blueprint(blueprint) + + # In a future blueprint release, this can move into the blueprint as well + for symbol in symbols: + for day in dates: + rr.log(f"stocks/{symbol}", style_plot(symbol), timeless=True) + rr.log(f"stocks/{symbol}/daily_peaks", style_peak(symbol), timeless=True) + + for symbol in symbols: + stock = yf.Ticker(symbol) + + name = stock.info["shortName"] + industry = stock.info["industry"] + marketCap = humanize.intword(stock.info["marketCap"]) + revenue = humanize.intword(stock.info["totalRevenue"]) + + info_md = ( + f"- **Name**: {name}\n" + f"- **Industry**: {industry}\n" + f"- **Market cap**: ${marketCap}\n" + f"- **Total Revenue**: ${revenue}\n" + ) + + rr.log( + f"stocks/{symbol}/info", + rr.TextDocument(info_md, media_type=rr.MediaType.MARKDOWN), + timeless=True, + ) + + min_time = dt.datetime.combine(dates[0], dt.time(0, 0)) + max_time = dt.datetime.combine(dates[-1], dt.time(16, 00)) + + hist = stock.history(start=min_time, end=max_time, interval="5m") + if len(hist.index) == 0: + continue + + daily_peaks = [] + + for day in dates: + open_time = et_timezone.localize(dt.datetime.combine(day, dt.time(9, 30))) + close_time = et_timezone.localize(dt.datetime.combine(day, dt.time(16, 00))) + daily_peaks.append(hist.loc[open_time:close_time].High.idxmax()) # type: ignore[misc] + + for row in hist.itertuples(): + rr.set_time_seconds("time", row.Index.timestamp()) + rr.log(f"stocks/{symbol}", rr.Scalar(row.High)) + if row.Index in daily_peaks: + rr.log(f"stocks/{symbol}/daily_peaks", rr.Scalar(row.High)) + + rr.script_teardown(args) + + +if __name__ == "__main__": + main() diff --git a/examples/python/blueprint_stocks_timerange/pyproject.toml b/examples/python/blueprint_stocks_timerange/pyproject.toml new file mode 100644 index 000000000000..423b26010850 --- /dev/null +++ b/examples/python/blueprint_stocks_timerange/pyproject.toml @@ -0,0 +1,16 @@ +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[project] +name = "blueprint_stocks_timerange" +version = "0.1.0" +requires-python = ">=3.8" +readme = "README.md" +dependencies = ["humanize", "rerun-sdk", "yfinance"] + +[project.scripts] +blueprint_stocks_timerange = "blueprint_stocks_timerange:main" + +[tool.rerun-example] +#skip = true diff --git a/pixi.lock b/pixi.lock index 5a281e838699..e5eec728c63e 100644 --- a/pixi.lock +++ b/pixi.lock @@ -1807,7 +1807,7 @@ environments: - 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dill <0.3.5 ; extra == 'dev' + - evaluate >=0.2.0 ; extra == 'dev' - pytest-timeout ; extra == 'dev' - - ruff==0.1.5 ; extra == 'dev' - - sacrebleu<2.0.0,>=1.4.12 ; extra == 'dev' - - rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1 ; extra == 'dev' + - ruff ==0.1.5 ; extra == 'dev' + - sacrebleu <2.0.0, >=1.4.12 ; extra == 'dev' + - rouge-score !=0.0.7, !=0.0.8, !=0.1, !=0.1.1 ; extra == 'dev' - nltk ; extra == 'dev' - - gitpython<3.1.19 ; extra == 'dev' - - hf-doc-builder>=0.3.0 ; extra == 'dev' + - gitpython <3.1.19 ; extra == 'dev' + - hf-doc-builder >=0.3.0 ; extra == 'dev' - sacremoses ; extra == 'dev' - rjieba ; extra == 'dev' - beautifulsoup4 ; extra == 'dev' - tensorboard ; extra == 'dev' - pydantic ; extra == 'dev' - faiss-cpu ; extra == 'dev' - - cookiecutter==1.7.3 ; extra == 'dev' - - isort>=5.5.4 ; extra == 'dev' - - urllib3<2.0.0 ; extra == 'dev' - - fugashi>=1.0 ; extra == 'dev' - - ipadic<2.0,>=1.0.0 ; extra == 'dev' - - unidic-lite>=1.0.7 ; extra == 'dev' - - unidic>=1.0.2 ; extra == 'dev' - - sudachipy>=0.6.6 ; extra == 'dev' - - sudachidict-core>=20220729 ; extra == 'dev' - - rhoknp<1.3.1,>=1.1.0 ; extra == 'dev' + - cookiecutter ==1.7.3 ; extra == 'dev' + - isort >=5.5.4 ; extra == 'dev' + - urllib3 <2.0.0 ; extra == 'dev' + - fugashi >=1.0 ; extra == 'dev' + - ipadic <2.0, >=1.0.0 ; extra == 'dev' + - unidic-lite >=1.0.7 ; extra == 'dev' + - unidic >=1.0.2 ; extra == 'dev' + - sudachipy >=0.6.6 ; extra == 'dev' + - sudachidict-core >=20220729 ; extra == 'dev' + - rhoknp <1.3.1, >=1.1.0 ; extra == 'dev' - hf-doc-builder ; extra == 'dev' - scikit-learn ; extra == 'dev' - - pytest<8.0.0,>=7.2.0 ; extra == 'dev-tensorflow' + - pytest <8.0.0, >=7.2.0 ; extra == 'dev-tensorflow' - pytest-xdist ; extra == 'dev-tensorflow' - timeout-decorator ; extra == 'dev-tensorflow' - parameterized ; extra == 'dev-tensorflow' - psutil ; extra == 'dev-tensorflow' - - datasets!=2.5.0 ; extra == 'dev-tensorflow' - - dill<0.3.5 ; extra == 'dev-tensorflow' - - evaluate>=0.2.0 ; extra == 'dev-tensorflow' + - datasets !=2.5.0 ; extra == 'dev-tensorflow' + - dill <0.3.5 ; extra == 'dev-tensorflow' + - evaluate >=0.2.0 ; extra == 'dev-tensorflow' - pytest-timeout ; extra == 'dev-tensorflow' - - ruff==0.1.5 ; extra == 'dev-tensorflow' - - sacrebleu<2.0.0,>=1.4.12 ; extra == 'dev-tensorflow' - - rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1 ; extra == 'dev-tensorflow' + - ruff ==0.1.5 ; extra == 'dev-tensorflow' + - sacrebleu <2.0.0, >=1.4.12 ; extra == 'dev-tensorflow' + - rouge-score !=0.0.7, !=0.0.8, !=0.1, !=0.1.1 ; extra == 'dev-tensorflow' - nltk ; extra == 'dev-tensorflow' - - gitpython<3.1.19 ; extra == 'dev-tensorflow' - - hf-doc-builder>=0.3.0 ; extra == 'dev-tensorflow' + - gitpython <3.1.19 ; extra == 'dev-tensorflow' + - hf-doc-builder >=0.3.0 ; extra == 'dev-tensorflow' - protobuf ; extra == 'dev-tensorflow' - sacremoses ; extra == 'dev-tensorflow' - rjieba ; extra == 'dev-tensorflow' - beautifulsoup4 ; extra == 'dev-tensorflow' - tensorboard ; extra == 'dev-tensorflow' - pydantic ; extra == 'dev-tensorflow' - - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'dev-tensorflow' + - sentencepiece !=0.1.92, >=0.1.91 ; extra == 'dev-tensorflow' - faiss-cpu ; extra == 'dev-tensorflow' - - cookiecutter==1.7.3 ; extra == 'dev-tensorflow' - - tensorflow<2.16,>=2.6 ; extra == 'dev-tensorflow' + - cookiecutter ==1.7.3 ; extra == 'dev-tensorflow' + - tensorflow <2.16, >=2.6 ; extra == 'dev-tensorflow' - onnxconverter-common ; extra == 'dev-tensorflow' - tf2onnx ; extra == 'dev-tensorflow' - - tensorflow-text<2.16 ; extra == 'dev-tensorflow' - - keras-nlp>=0.3.1 ; extra == 'dev-tensorflow' - - tokenizers<0.20,>=0.19 ; extra == 'dev-tensorflow' - - pillow<=15.0,>=10.0.1 ; extra == 'dev-tensorflow' - - isort>=5.5.4 ; extra == 'dev-tensorflow' - - urllib3<2.0.0 ; extra == 'dev-tensorflow' + - tensorflow-text <2.16 ; extra == 'dev-tensorflow' + - keras-nlp >=0.3.1 ; extra == 'dev-tensorflow' + - tokenizers <0.20, >=0.19 ; extra == 'dev-tensorflow' + - pillow <=15.0, >=10.0.1 ; extra == 'dev-tensorflow' + - isort >=5.5.4 ; extra == 'dev-tensorflow' + - urllib3 <2.0.0 ; extra == 'dev-tensorflow' - hf-doc-builder ; extra == 'dev-tensorflow' - scikit-learn ; extra == 'dev-tensorflow' - - onnxruntime>=1.4.0 ; extra == 'dev-tensorflow' - - onnxruntime-tools>=1.4.2 ; extra == 'dev-tensorflow' + - onnxruntime >=1.4.0 ; extra == 'dev-tensorflow' + - onnxruntime-tools >=1.4.2 ; extra == 'dev-tensorflow' - librosa ; extra == 'dev-tensorflow' - - pyctcdecode>=0.4.0 ; extra == 'dev-tensorflow' + - pyctcdecode >=0.4.0 ; extra == 'dev-tensorflow' - phonemizer ; extra == 'dev-tensorflow' - kenlm ; extra == 'dev-tensorflow' - - pytest<8.0.0,>=7.2.0 ; extra == 'dev-torch' + - pytest <8.0.0, >=7.2.0 ; extra == 'dev-torch' - pytest-xdist ; extra == 'dev-torch' - timeout-decorator ; extra == 'dev-torch' - parameterized ; extra == 'dev-torch' - psutil ; extra == 'dev-torch' - - datasets!=2.5.0 ; extra == 'dev-torch' - - dill<0.3.5 ; extra == 'dev-torch' - - evaluate>=0.2.0 ; extra == 'dev-torch' + - datasets !=2.5.0 ; extra == 'dev-torch' + - dill <0.3.5 ; extra == 'dev-torch' + - evaluate >=0.2.0 ; extra == 'dev-torch' - pytest-timeout ; extra == 'dev-torch' - - ruff==0.1.5 ; extra == 'dev-torch' - - sacrebleu<2.0.0,>=1.4.12 ; extra == 'dev-torch' - - rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1 ; extra == 'dev-torch' + - ruff ==0.1.5 ; extra == 'dev-torch' + - sacrebleu <2.0.0, >=1.4.12 ; extra == 'dev-torch' + - rouge-score !=0.0.7, !=0.0.8, !=0.1, !=0.1.1 ; extra == 'dev-torch' - nltk ; extra == 'dev-torch' - - gitpython<3.1.19 ; extra == 'dev-torch' - - hf-doc-builder>=0.3.0 ; extra == 'dev-torch' + - gitpython <3.1.19 ; extra == 'dev-torch' + - hf-doc-builder >=0.3.0 ; extra == 'dev-torch' - protobuf ; extra == 'dev-torch' - sacremoses ; extra == 'dev-torch' - rjieba ; extra == 'dev-torch' - beautifulsoup4 ; extra == 'dev-torch' - tensorboard ; extra == 'dev-torch' - pydantic ; extra == 'dev-torch' - - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'dev-torch' + - sentencepiece !=0.1.92, >=0.1.91 ; extra == 'dev-torch' - faiss-cpu ; extra == 'dev-torch' - - cookiecutter==1.7.3 ; extra == 'dev-torch' + - cookiecutter ==1.7.3 ; extra == 'dev-torch' - torch ; extra == 'dev-torch' - - accelerate>=0.21.0 ; extra == 'dev-torch' - - tokenizers<0.20,>=0.19 ; extra == 'dev-torch' + - accelerate >=0.21.0 ; extra == 'dev-torch' + - tokenizers <0.20, >=0.19 ; extra == 'dev-torch' - torchaudio ; extra == 'dev-torch' - librosa ; extra == 'dev-torch' - - pyctcdecode>=0.4.0 ; extra == 'dev-torch' + - pyctcdecode >=0.4.0 ; extra == 'dev-torch' - phonemizer ; extra == 'dev-torch' - kenlm ; extra == 'dev-torch' - - pillow<=15.0,>=10.0.1 ; extra == 'dev-torch' + - pillow <=15.0, >=10.0.1 ; extra == 'dev-torch' - optuna ; extra == 'dev-torch' - - ray[tune]>=2.7.0 ; extra == 'dev-torch' + - ray[tune] >=2.7.0 ; extra == 'dev-torch' - sigopt ; extra == 'dev-torch' - timm ; extra == 'dev-torch' - torchvision ; extra == 'dev-torch' - - codecarbon==1.2.0 ; extra == 'dev-torch' - - isort>=5.5.4 ; extra == 'dev-torch' - - urllib3<2.0.0 ; extra == 'dev-torch' - - fugashi>=1.0 ; extra == 'dev-torch' - - ipadic<2.0,>=1.0.0 ; extra == 'dev-torch' - - unidic-lite>=1.0.7 ; extra == 'dev-torch' - - unidic>=1.0.2 ; extra == 'dev-torch' - - sudachipy>=0.6.6 ; extra == 'dev-torch' - - sudachidict-core>=20220729 ; extra == 'dev-torch' - - rhoknp<1.3.1,>=1.1.0 ; extra == 'dev-torch' + - codecarbon ==1.2.0 ; extra == 'dev-torch' + - isort >=5.5.4 ; extra == 'dev-torch' + - urllib3 <2.0.0 ; extra == 'dev-torch' + - fugashi >=1.0 ; extra == 'dev-torch' + - ipadic <2.0, >=1.0.0 ; extra == 'dev-torch' + - unidic-lite >=1.0.7 ; extra == 'dev-torch' + - unidic >=1.0.2 ; extra == 'dev-torch' + - sudachipy >=0.6.6 ; extra == 'dev-torch' + - sudachidict-core >=20220729 ; extra == 'dev-torch' + - rhoknp <1.3.1, >=1.1.0 ; extra == 'dev-torch' - hf-doc-builder ; extra == 'dev-torch' - scikit-learn ; extra == 'dev-torch' - - onnxruntime>=1.4.0 ; extra == 'dev-torch' - - onnxruntime-tools>=1.4.2 ; extra == 'dev-torch' - - tensorflow<2.16,>=2.6 ; extra == 'docs' + - onnxruntime >=1.4.0 ; extra == 'dev-torch' + - onnxruntime-tools >=1.4.2 ; extra == 'dev-torch' + - tensorflow <2.16, >=2.6 ; extra == 'docs' - onnxconverter-common ; extra == 'docs' - tf2onnx ; extra == 'docs' - - tensorflow-text<2.16 ; extra == 'docs' - - keras-nlp>=0.3.1 ; extra == 'docs' + - tensorflow-text <2.16 ; extra == 'docs' + - keras-nlp >=0.3.1 ; extra == 'docs' - torch ; extra == 'docs' - - accelerate>=0.21.0 ; extra == 'docs' - - jax<=0.4.13,>=0.4.1 ; extra == 'docs' - - jaxlib<=0.4.13,>=0.4.1 ; extra == 'docs' - - flax<=0.7.0,>=0.4.1 ; extra == 'docs' - - optax<=0.1.4,>=0.0.8 ; extra == 'docs' - - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'docs' + - accelerate >=0.21.0 ; extra == 'docs' + - jax <=0.4.13, >=0.4.1 ; extra == 'docs' + - jaxlib <=0.4.13, >=0.4.1 ; extra == 'docs' + - flax <=0.7.0, >=0.4.1 ; extra == 'docs' + - optax <=0.1.4, >=0.0.8 ; extra == 'docs' + - sentencepiece !=0.1.92, >=0.1.91 ; extra == 'docs' - protobuf ; extra == 'docs' - - tokenizers<0.20,>=0.19 ; extra == 'docs' + - tokenizers <0.20, >=0.19 ; extra == 'docs' - torchaudio ; extra == 'docs' - librosa ; extra == 'docs' - - pyctcdecode>=0.4.0 ; extra == 'docs' + - pyctcdecode >=0.4.0 ; extra == 'docs' - phonemizer ; extra == 'docs' - kenlm ; extra == 'docs' - - pillow<=15.0,>=10.0.1 ; extra == 'docs' + - pillow <=15.0, >=10.0.1 ; extra == 'docs' - optuna ; extra == 'docs' - - ray[tune]>=2.7.0 ; extra == 'docs' + - ray[tune] >=2.7.0 ; extra == 'docs' - sigopt ; extra == 'docs' - timm ; extra == 'docs' - torchvision ; extra == 'docs' - - codecarbon==1.2.0 ; extra == 'docs' - - decord==0.6.0 ; extra == 'docs' - - av==9.2.0 ; extra == 'docs' + - codecarbon ==1.2.0 ; extra == 'docs' + - decord ==0.6.0 ; extra == 'docs' + - av ==9.2.0 ; extra == 'docs' - hf-doc-builder ; extra == 'docs' - hf-doc-builder ; extra == 'docs_specific' - - jax<=0.4.13,>=0.4.1 ; extra == 'flax' - - jaxlib<=0.4.13,>=0.4.1 ; extra == 'flax' - - flax<=0.7.0,>=0.4.1 ; extra == 'flax' - - optax<=0.1.4,>=0.0.8 ; extra == 'flax' + - jax <=0.4.13, >=0.4.1 ; extra == 'flax' + - jaxlib <=0.4.13, >=0.4.1 ; extra == 'flax' + - flax <=0.7.0, >=0.4.1 ; extra == 'flax' + - optax <=0.1.4, >=0.0.8 ; extra == 'flax' - librosa ; extra == 'flax-speech' - - pyctcdecode>=0.4.0 ; extra == 'flax-speech' + - pyctcdecode >=0.4.0 ; extra == 'flax-speech' - phonemizer ; extra == 'flax-speech' - kenlm ; extra == 'flax-speech' - ftfy ; extra == 'ftfy' - optuna ; extra == 'integrations' - - ray[tune]>=2.7.0 ; extra == 'integrations' + - ray[tune] >=2.7.0 ; extra == 'integrations' - sigopt ; extra == 'integrations' - - fugashi>=1.0 ; extra == 'ja' - - ipadic<2.0,>=1.0.0 ; extra == 'ja' - - unidic-lite>=1.0.7 ; extra == 'ja' - - unidic>=1.0.2 ; extra == 'ja' - - sudachipy>=0.6.6 ; extra == 'ja' - - sudachidict-core>=20220729 ; extra == 'ja' - - rhoknp<1.3.1,>=1.1.0 ; extra == 'ja' - - cookiecutter==1.7.3 ; extra == 'modelcreation' - - natten<0.15.0,>=0.14.6 ; extra == 'natten' + - fugashi >=1.0 ; extra == 'ja' + - ipadic <2.0, >=1.0.0 ; extra == 'ja' + - unidic-lite >=1.0.7 ; extra == 'ja' + - unidic >=1.0.2 ; extra == 'ja' + - sudachipy >=0.6.6 ; extra == 'ja' + - sudachidict-core >=20220729 ; extra == 'ja' + - rhoknp <1.3.1, >=1.1.0 ; extra == 'ja' + - cookiecutter ==1.7.3 ; extra == 'modelcreation' + - natten <0.15.0, >=0.14.6 ; extra == 'natten' - onnxconverter-common ; extra == 'onnx' - tf2onnx ; extra == 'onnx' - - onnxruntime>=1.4.0 ; extra == 'onnx' - - onnxruntime-tools>=1.4.2 ; extra == 'onnx' - - onnxruntime>=1.4.0 ; extra == 'onnxruntime' - - onnxruntime-tools>=1.4.2 ; extra == 'onnxruntime' + - onnxruntime >=1.4.0 ; extra == 'onnx' + - onnxruntime-tools >=1.4.2 ; extra == 'onnx' + - onnxruntime >=1.4.0 ; extra == 'onnxruntime' + - onnxruntime-tools >=1.4.2 ; extra == 'onnxruntime' - optuna ; extra == 'optuna' - - datasets!=2.5.0 ; extra == 'quality' - - isort>=5.5.4 ; extra == 'quality' - - ruff==0.1.5 ; extra == 'quality' - - gitpython<3.1.19 ; extra == 'quality' - - hf-doc-builder>=0.3.0 ; extra == 'quality' - - urllib3<2.0.0 ; extra == 'quality' - - ray[tune]>=2.7.0 ; extra == 'ray' + - datasets !=2.5.0 ; extra == 'quality' + - isort >=5.5.4 ; extra == 'quality' + - ruff ==0.1.5 ; extra == 'quality' + - gitpython <3.1.19 ; extra == 'quality' + - hf-doc-builder >=0.3.0 ; extra == 'quality' + - urllib3 <2.0.0 ; extra == 'quality' + - ray[tune] >=2.7.0 ; extra == 'ray' - faiss-cpu ; extra == 'retrieval' - - datasets!=2.5.0 ; extra == 'retrieval' - - sagemaker>=2.31.0 ; extra == 'sagemaker' - - sentencepiece!=0.1.92,>=0.1.91 ; extra == 'sentencepiece' + - datasets !=2.5.0 ; extra == 'retrieval' + - sagemaker >=2.31.0 ; extra == 'sagemaker' + - sentencepiece !=0.1.92, >=0.1.91 ; extra == 'sentencepiece' - protobuf ; extra == 'sentencepiece' - pydantic ; extra == 'serving' - uvicorn ; extra == 'serving' @@ -27146,73 +27165,73 @@ packages: - scikit-learn ; extra == 'sklearn' - torchaudio ; extra == 'speech' - librosa ; extra == 'speech' - - pyctcdecode>=0.4.0 ; extra == 'speech' + - pyctcdecode >=0.4.0 ; extra == 'speech' - phonemizer ; extra == 'speech' - kenlm ; extra == 'speech' - - pytest<8.0.0,>=7.2.0 ; extra == 'testing' + - pytest <8.0.0, >=7.2.0 ; extra == 'testing' - pytest-xdist ; extra == 'testing' - timeout-decorator ; extra == 'testing' - parameterized ; extra == 'testing' - psutil ; extra == 'testing' - - datasets!=2.5.0 ; extra == 'testing' - - dill<0.3.5 ; extra == 'testing' - - evaluate>=0.2.0 ; extra == 'testing' + - datasets !=2.5.0 ; extra == 'testing' + - dill <0.3.5 ; extra == 'testing' + - evaluate >=0.2.0 ; extra == 'testing' - pytest-timeout ; extra == 'testing' - - ruff==0.1.5 ; extra == 'testing' - - sacrebleu<2.0.0,>=1.4.12 ; extra == 'testing' - - rouge-score!=0.0.7,!=0.0.8,!=0.1,!=0.1.1 ; extra == 'testing' + - ruff ==0.1.5 ; extra == 'testing' + - sacrebleu <2.0.0, >=1.4.12 ; extra == 'testing' + - rouge-score !=0.0.7, !=0.0.8, !=0.1, !=0.1.1 ; extra == 'testing' - nltk ; extra == 'testing' - - gitpython<3.1.19 ; extra == 'testing' - - hf-doc-builder>=0.3.0 ; extra == 'testing' + - gitpython <3.1.19 ; extra == 'testing' + - hf-doc-builder >=0.3.0 ; extra == 'testing' - protobuf ; extra == 'testing' - 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import multiprocessing # ignore[no-redef] + import multiprocessing # type: ignore[no-redef] def task() -> None: