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	only set logger level if verbose flag is explicitly set
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			@ -40,7 +40,8 @@ def assemble_cli(
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    DOCS: https://spacy.io/api/cli#assemble
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    """
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    util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
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    if verbose:
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        util.logger.setLevel(logging.DEBUG)
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    # Make sure all files and paths exists if they are needed
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    if not config_path or (str(config_path) != "-" and not config_path.exists()):
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        msg.fail("Config file not found", config_path, exits=1)
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			@ -52,8 +52,8 @@ def find_threshold_cli(
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    DOCS: https://spacy.io/api/cli#find-threshold
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    """
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    util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
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    if verbose:
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        util.logger.setLevel(logging.DEBUG)
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    import_code(code_path)
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    find_threshold(
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        model=model,
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			@ -39,7 +39,8 @@ def init_vectors_cli(
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    you can use in the [initialize] block of your config to initialize
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    a model with vectors.
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    """
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    util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
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    if verbose:
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        util.logger.setLevel(logging.DEBUG)
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    msg.info(f"Creating blank nlp object for language '{lang}'")
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    nlp = util.get_lang_class(lang)()
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    if jsonl_loc is not None:
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			@ -87,7 +88,8 @@ def init_pipeline_cli(
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    use_gpu: int = Opt(-1, "--gpu-id", "-g", help="GPU ID or -1 for CPU")
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    # fmt: on
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):
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    util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
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    if verbose:
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        util.logger.setLevel(logging.DEBUG)
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    overrides = parse_config_overrides(ctx.args)
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    import_code(code_path)
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    setup_gpu(use_gpu)
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			@ -116,7 +118,8 @@ def init_labels_cli(
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    """Generate JSON files for the labels in the data. This helps speed up the
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    training process, since spaCy won't have to preprocess the data to
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    extract the labels."""
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    util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
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    if verbose:
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        util.logger.setLevel(logging.DEBUG)
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    if not output_path.exists():
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        output_path.mkdir(parents=True)
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    overrides = parse_config_overrides(ctx.args)
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			@ -47,7 +47,8 @@ def train_cli(
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    DOCS: https://spacy.io/api/cli#train
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    """
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    util.logger.setLevel(logging.DEBUG if verbose else logging.INFO)
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    if verbose:
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        util.logger.setLevel(logging.DEBUG)
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    overrides = parse_config_overrides(ctx.args)
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    import_code(code_path)
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    train(config_path, output_path, use_gpu=use_gpu, overrides=overrides)
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