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* Delete NoopTextSplitter * Delete unused check_token_limit * Add base chunking factory and migrate workflow to use it * Split apart chunker module * Co-locate chunking/splitting * Collapse token splitting functionality into one class/function * Restore create_base_text_units parameterization * Move Tokenizer base class to common package * Move pre-pending into chunkers * Streamline config * Fix defaults construction * Add prepending tests * Remove chunk_size_includes_metadata config * Revert ChunkingDocument interface * Move metadata prepending to a util * Move Tokenizer back to GR core * Fix tokenizer removal from chunker * Set defaults for chunking config * Move chunking to monorepo package * Format * Typo * Add ChunkResult model * Streamline chunking config * Add missing version updates for graphrag_chunking
32 lines
890 B
Python
32 lines
890 B
Python
# Copyright (c) 2024 Microsoft Corporation.
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# Licensed under the MIT License
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"""Bootstrap definition."""
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import warnings
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# Ignore warnings from numba
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warnings.filterwarnings("ignore", message=".*The 'nopython' keyword.*")
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warnings.filterwarnings("ignore", message=".*Use no seed for parallelism.*")
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initialized_nltk = False
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def bootstrap():
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"""Bootstrap definition."""
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global initialized_nltk
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if not initialized_nltk:
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import nltk
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from nltk.corpus import wordnet as wn
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nltk.download("punkt")
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nltk.download("punkt_tab")
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nltk.download("averaged_perceptron_tagger")
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nltk.download("averaged_perceptron_tagger_eng")
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nltk.download("maxent_ne_chunker")
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nltk.download("maxent_ne_chunker_tab")
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nltk.download("words")
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nltk.download("wordnet")
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wn.ensure_loaded()
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initialized_nltk = True
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