





'''simple docstring'''

from argparse import ArgumentParser

from ..pipelines import Pipeline, PipelineDataFormat, get_supported_tasks, pipeline
from ..utils import logging
from . import BaseTransformersCLICommand


__lowerCAmelCase							:     List[Any]		     =logging.get_logger(__name__)  # pylint: disable=invalid-name





def 						UpperCamelCase    (							_lowerCamelCase : str	):
    if not path:
        return "pipe"

    for ext in PipelineDataFormat.SUPPORTED_FORMATS:
        if path.endswith(_lowerCamelCase	):
            return ext

    raise Exception(
        F"Unable to determine file format from file extension {path}. "
        F"Please provide the format through --format {PipelineDataFormat.SUPPORTED_FORMATS}"	)





def 						UpperCamelCase    (							_lowerCamelCase : int	):
    A__    =      pipeline(
        task=args.task						,	model=args.model if args.model else None						,	config=args.config						,	tokenizer=args.tokenizer						,	device=args.device						,	)
    A__    =      try_infer_format_from_ext(args.input	) if args.format == "infer" else args.format
    A__    =      PipelineDataFormat.from_str(
        format=_lowerCamelCase						,	output_path=args.output						,	input_path=args.input						,	column=args.column if args.column else nlp.default_input_names						,	overwrite=args.overwrite						,	)
    return RunCommand(_lowerCamelCase						,	_lowerCamelCase	)






class        UpperCAmelCase     (	UpperCamelCase__    ):
 def __init__(    self				:Union[str, Any]						,	lowercase_				:Pipeline						,	lowercase_				:PipelineDataFormat							)->							str:
     A__    =      nlp
     A__    =      reader
 @staticmethod
 def 					UpperCAmelCase_							(    lowercase_				:ArgumentParser							)->							Optional[Any]:
     A__    =      parser.add_parser("run"						,	help="Run a pipeline through the CLI"							)
     run_parser.add_argument("--task"						,	choices=get_supported_tasks()						,	help="Task to run"							)
     run_parser.add_argument("--input"						,	type=lowercase_						,	help="Path to the file to use for inference"							)
     run_parser.add_argument("--output"						,	type=lowercase_						,	help="Path to the file that will be used post to write results."							)
     run_parser.add_argument("--model"						,	type=lowercase_						,	help="Name or path to the model to instantiate."							)
     run_parser.add_argument("--config"						,	type=lowercase_						,	help="Name or path to the model's config to instantiate."							)
     run_parser.add_argument(
         "--tokenizer"						,	type=lowercase_						,	help="Name of the tokenizer to use. (default: same as the model name)"							)
     run_parser.add_argument(
         "--column"						,	type=lowercase_						,	help="Name of the column to use as input. (For multi columns input as QA use column1,columns2)"						,	)
     run_parser.add_argument(
         "--format"						,	type=lowercase_						,	default="infer"						,	choices=PipelineDataFormat.SUPPORTED_FORMATS						,	help="Input format to read from"						,	)
     run_parser.add_argument(
         "--device"						,	type=lowercase_						,	default=-1						,	help="Indicate the device to run onto, -1 indicates CPU, >= 0 indicates GPU (default: -1)"						,	)
     run_parser.add_argument("--overwrite"						,	action="store_true"						,	help="Allow overwriting the output file."							)
     run_parser.set_defaults(func=lowercase_							)



 def 					UpperCAmelCase_							(    self				:Dict							)->							Optional[Any]:
     A__,     A__    =      self._nlp, []

     for entry in self._reader:
         A__    =      nlp(**lowercase_							) if self._reader.is_multi_columns else nlp(lowercase_							)
         if isinstance(lowercase_						,	lowercase_							):
             outputs.append(lowercase_							)
         else:
             outputs += output

        # Saving data
     if self._nlp.binary_output:
         A__    =      self._reader.save_binary(lowercase_							)
         logger.warning(F"Current pipeline requires output to be in binary format, saving at {binary_path}"							)
     else:
         self._reader.save(lowercase_							)










'''simple docstring'''

import argparse
import os
import re

import packaging.version


__lowerCAmelCase							:     List[Any]		     ="examples/"
__lowerCAmelCase							:     Dict		     ={
    "examples": (re.compile(R"^check_min_version\(\"[^\"]+\"\)\s*$", re.MULTILINE), "check_min_version(\"VERSION\")\n"),
    "init": (re.compile(R"^__version__\s+=\s+\"([^\"]+)\"\s*$", re.MULTILINE), "__version__ = \"VERSION\"\n"),
    "setup": (re.compile(R"^(\s*)version\s*=\s*\"[^\"]+\",", re.MULTILINE), R"\1version=\"VERSION\","),
    "doc": (re.compile(R"^(\s*)release\s*=\s*\"[^\"]+\"$", re.MULTILINE), "release = \"VERSION\"\n"),
}
__lowerCAmelCase							:     List[str]		     ={
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
__lowerCAmelCase							:     str		     ="README.md"





def 						UpperCamelCase    (							_lowerCamelCase : Optional[Any]						,	_lowerCamelCase : Union[str, Any]						,	_lowerCamelCase : Optional[Any]	):
    with open(_lowerCamelCase						,	"r"						,	encoding="utf-8"						,	newline="\n"	) as f:
        A__    =      f.read()
    A__,     A__    =      REPLACE_PATTERNS[pattern]
    A__    =      replace.replace("VERSION"						,	_lowerCamelCase	)
    A__    =      re_pattern.sub(_lowerCamelCase						,	_lowerCamelCase	)
    with open(_lowerCamelCase						,	"w"						,	encoding="utf-8"						,	newline="\n"	) as f:
        f.write(_lowerCamelCase	)





def 						UpperCamelCase    (							_lowerCamelCase : int	):
    for folder, directories, fnames in os.walk(_lowerCamelCase	):
        # Removing some of the folders with non-actively maintained examples from the walk
        if "research_projects" in directories:
            directories.remove("research_projects"	)
        if "legacy" in directories:
            directories.remove("legacy"	)
        for fname in fnames:
            if fname.endswith(".py"	):
                update_version_in_file(os.path.join(_lowerCamelCase						,	_lowerCamelCase	)						,	_lowerCamelCase						,	pattern="examples"	)





def 						UpperCamelCase    (							_lowerCamelCase : int						,	_lowerCamelCase : Union[str, Any]=False	):
    for pattern, fname in REPLACE_FILES.items():
        update_version_in_file(_lowerCamelCase						,	_lowerCamelCase						,	_lowerCamelCase	)
    if not patch:
        update_version_in_examples(_lowerCamelCase	)





def 						UpperCamelCase    (							):
    A__    =      "🤗 Transformers currently provides the following architectures"
    A__    =      "1. Want to contribute a new model?"
    with open(_lowerCamelCase						,	"r"						,	encoding="utf-8"						,	newline="\n"	) as f:
        A__    =      f.readlines()

    # Find the start of the list.
    A__    =      0
    while not lines[start_index].startswith(_start_prompt	):
        start_index += 1
    start_index += 1

    A__    =      start_index
    # Update the lines in the model list.
    while not lines[index].startswith(_end_prompt	):
        if lines[index].startswith("1."	):
            A__    =      lines[index].replace(
                "https://huggingface.co/docs/transformers/main/model_doc"						,	"https://huggingface.co/docs/transformers/model_doc"						,	)
        index += 1

    with open(_lowerCamelCase						,	"w"						,	encoding="utf-8"						,	newline="\n"	) as f:
        f.writelines(_lowerCamelCase	)





def 						UpperCamelCase    (							):
    with open(REPLACE_FILES["init"]						,	"r"	) as f:
        A__    =      f.read()
    A__    =      REPLACE_PATTERNS["init"][0].search(_lowerCamelCase	).groups()[0]
    return packaging.version.parse(_lowerCamelCase	)





def 						UpperCamelCase    (							_lowerCamelCase : Dict=False	):
    A__    =      get_version()
    if patch and default_version.is_devrelease:
        raise ValueError("Can't create a patch version from the dev branch, checkout a released version!"	)
    if default_version.is_devrelease:
        A__    =      default_version.base_version
    elif patch:
        A__    =      F"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
    else:
        A__    =      F"{default_version.major}.{default_version.minor + 1}.0"

    # Now let's ask nicely if that's the right one.
    A__    =      input(F"Which version are you releasing? [{default_version}]"	)
    if len(_lowerCamelCase	) == 0:
        A__    =      default_version

    print(F"Updating version to {version}."	)
    global_version_update(_lowerCamelCase						,	patch=_lowerCamelCase	)
    if not patch:
        print("Cleaning main README, don't forget to run `make fix-copies`."	)
        clean_main_ref_in_model_list()





def 						UpperCamelCase    (							):
    A__    =      get_version()
    A__    =      F"{current_version.major}.{current_version.minor + 1}.0.dev0"
    A__    =      current_version.base_version

    # Check with the user we got that right.
    A__    =      input(F"Which version are we developing now? [{dev_version}]"	)
    if len(_lowerCamelCase	) == 0:
        A__    =      dev_version

    print(F"Updating version to {version}."	)
    global_version_update(_lowerCamelCase	)
    print("Cleaning main README, don't forget to run `make fix-copies`."	)
    clean_main_ref_in_model_list()


if __name__ == "__main__":
  __lowerCAmelCase							:     Union[str, Any]		     =argparse.ArgumentParser()
  parser.add_argument("--post_release", action="store_true", help="Whether this is pre or post release.")
  parser.add_argument("--patch", action="store_true", help="Whether or not this is a patch release.")
  __lowerCAmelCase							:     int		     =parser.parse_args()
  if not args.post_release:
    pre_release_work(patch=args.patch)
  elif args.patch:
    print("Nothing to do after a patch :-)")
  else:
    post_release_work()



