






'''simple docstring'''

import argparse
import os
import re

import packaging.version


UpperCamelCase							="examples/"
UpperCamelCase							={
    "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"),
}
UpperCamelCase							={
    "init": "src/transformers/__init__.py",
    "setup": "setup.py",
}
UpperCamelCase							="README.md"



def 							snake_case					(     a_							: List[str]    ,   a_							: str    ,   a_							: Optional[int]	)       ->				int:





      """simple docstring"""

      with open(a_    ,   """r"""    ,   encoding="""utf-8"""    ,   newline="""\n"""	) as f:
            UpperCamelCase_				:   Tuple					    =							f.read()
      UpperCamelCase_    ,			UpperCamelCase_				:   Optional[int]					    =							REPLACE_PATTERNS[pattern]
      UpperCamelCase_				:   str					    =							replace.replace("""VERSION"""    ,   a_	)
      UpperCamelCase_				:   List[Any]					    =							re_pattern.sub(a_    ,   a_	)
      with open(a_    ,   """w"""    ,   encoding="""utf-8"""    ,   newline="""\n"""	) as f:
            f.write(a_	)



def 							snake_case					(     a_							: Tuple	)       ->				Dict:





      """simple docstring"""

      for folder, directories, fnames in os.walk(a_	):
            # 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(a_    ,   a_	)    ,   a_    ,   pattern="""examples"""	)



def 							snake_case					(     a_							: Optional[int]    ,   a_							: Union[str, Any]=False	)       ->				Tuple:





      """simple docstring"""

      for pattern, fname in REPLACE_FILES.items():
            update_version_in_file(a_    ,   a_    ,   a_	)
      if not patch:
            update_version_in_examples(a_	)



def 							snake_case					(     )       ->				Union[str, Any]:





      """simple docstring"""

      UpperCamelCase_				:   Optional[Any]					    =							"""🤗 Transformers currently provides the following architectures"""
      UpperCamelCase_				:   Union[str, Any]					    =							"""1. Want to contribute a new model?"""
      with open(a_    ,   """r"""    ,   encoding="""utf-8"""    ,   newline="""\n"""	) as f:
            UpperCamelCase_				:   Any					    =							f.readlines()

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

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

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



def 							snake_case					(     )       ->				Dict:





      """simple docstring"""

      with open(REPLACE_FILES["""init"""]    ,   """r"""	) as f:
            UpperCamelCase_				:   Any					    =							f.read()
      UpperCamelCase_				:   Any					    =							REPLACE_PATTERNS["""init"""][0].search(a_	).groups()[0]
      return packaging.version.parse(a_	)



def 							snake_case					(     a_							: List[Any]=False	)       ->				Dict:





      """simple docstring"""

      UpperCamelCase_				:   Any					    =							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:
            UpperCamelCase_				:   int					    =							default_version.base_version
      elif patch:
            UpperCamelCase_				:   Any					    =							f"{default_version.major}.{default_version.minor}.{default_version.micro + 1}"
      else:
            UpperCamelCase_				:   Optional[int]					    =							f"{default_version.major}.{default_version.minor + 1}.0"

      # Now let's ask nicely if that's the right one.
      UpperCamelCase_				:   List[Any]					    =							input(f"Which version are you releasing? [{default_version}]"	)
      if len(a_	) == 0:
            UpperCamelCase_				:   Optional[Any]					    =							default_version

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



def 							snake_case					(     )       ->				Optional[Any]:





      """simple docstring"""

      UpperCamelCase_				:   int					    =							get_version()
      UpperCamelCase_				:   Union[str, Any]					    =							f"{current_version.major}.{current_version.minor + 1}.0.dev0"
      UpperCamelCase_				:   List[Any]					    =							current_version.base_version

      # Check with the user we got that right.
      UpperCamelCase_				:   Optional[int]					    =							input(f"Which version are we developing now? [{dev_version}]"	)
      if len(a_	) == 0:
            UpperCamelCase_				:   Any					    =							dev_version

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


if __name__ == "__main__":
      UpperCamelCase							=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.")
      UpperCamelCase							=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()














'''simple docstring'''

from argparse import ArgumentParser

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


UpperCamelCase							=logging.get_logger(__name__)  # pylint: disable=invalid-name



def 							snake_case					(     a_							: str	)       ->				int:





      """simple docstring"""

      if not path:
            return "pipe"

      for ext in PipelineDataFormat.SUPPORTED_FORMATS:
            if path.endswith(a_	):
                  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 							snake_case					(     a_							: List[Any]	)       ->				Tuple:





      """simple docstring"""

      UpperCamelCase_				:   Any					    =							pipeline(
          task=args.task    ,   model=args.model if args.model else None    ,   config=args.config    ,   tokenizer=args.tokenizer    ,   device=args.device    ,   )
      UpperCamelCase_				:   List[Any]					    =							try_infer_format_from_ext(args.input	) if args.format == """infer""" else args.format
      UpperCamelCase_				:   Tuple					    =							PipelineDataFormat.from_str(
          format=a_    ,   output_path=args.output    ,   input_path=args.input    ,   column=args.column if args.column else nlp.default_input_names    ,   overwrite=args.overwrite    ,   )
      return RunCommand(a_    ,   a_	)




class     A    (      SCREAMING_SNAKE_CASE__						):






 """simple docstring"""





 def __init__(							self			,     __lowerCAmelCase			,     __lowerCAmelCase ):
       UpperCamelCase_				:   Union[str, Any]					    =							nlp
       UpperCamelCase_				:   Optional[Any]					    =							reader
 @staticmethod
 def   _UpperCAmelCase       (							__lowerCAmelCase ):
       UpperCamelCase_				:   List[str]					    =							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=__lowerCAmelCase			,     help="""Path to the file to use for inference""" )
       run_parser.add_argument("""--output"""			,     type=__lowerCAmelCase			,     help="""Path to the file that will be used post to write results.""" )
       run_parser.add_argument("""--model"""			,     type=__lowerCAmelCase			,     help="""Name or path to the model to instantiate.""" )
       run_parser.add_argument("""--config"""			,     type=__lowerCAmelCase			,     help="""Name or path to the model's config to instantiate.""" )
       run_parser.add_argument(
           """--tokenizer"""			,     type=__lowerCAmelCase			,     help="""Name of the tokenizer to use. (default: same as the model name)""" )
       run_parser.add_argument(
           """--column"""			,     type=__lowerCAmelCase			,     help="""Name of the column to use as input. (For multi columns input as QA use column1,columns2)"""			,     )
       run_parser.add_argument(
           """--format"""			,     type=__lowerCAmelCase			,     default="""infer"""			,     choices=PipelineDataFormat.SUPPORTED_FORMATS			,     help="""Input format to read from"""			,     )
       run_parser.add_argument(
           """--device"""			,     type=__lowerCAmelCase			,     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=__lowerCAmelCase )





 def   _UpperCAmelCase       (							self ):
       UpperCamelCase_    ,			UpperCamelCase_				:   str					    =							self._nlp, []

       for entry in self._reader:
             UpperCamelCase_				:   List[Any]					    =							nlp(**__lowerCAmelCase ) if self._reader.is_multi_columns else nlp(__lowerCAmelCase )
             if isinstance(__lowerCAmelCase			,     __lowerCAmelCase ):
                   outputs.append(__lowerCAmelCase )
             else:
                   outputs += output

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






