


'''simple docstring'''






import dataclasses
import json
import sys
import types
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, ArgumentTypeError
from copy import copy
from enum import Enum
from inspect import isclass
from pathlib import Path
from typing import Any, Callable, Dict, Iterable, List, Literal, NewType, Optional, Tuple, Union, get_type_hints

import yaml


__A					:  List[Any]											=      NewType("DataClass", Any)
__A					:  Tuple											=      NewType("DataClassType", Any)







def 				UpperCamelCase_			(    A__					:   Union[str, Any]					):
  '''simple docstring'''





  if isinstance(A__							,    A__					):
    return v
  if v.lower() in ("yes", "true", "t", "y", "1"):
    return True
  elif v.lower() in ("no", "false", "f", "n", "0"):
    return False
  else:
    raise ArgumentTypeError(
        f'Truthy value expected: got {v} but expected one of yes/no, true/false, t/f, y/n, 1/0 (case insensitive).'					)







def 				UpperCamelCase_			(    A__					:   list					):
  '''simple docstring'''





  lowerCAmelCase_			:      str			=   {str(A__					): choice for choice in choices}
  return lambda A__					: str_to_choice.get(A__							,    A__					)







def 				UpperCamelCase_			(    *,
    A__					:   Union[str, List[str]] = None							,    A__					:   str = None							,    A__					:   Any = dataclasses.MISSING							,    A__					:   Callable[[], Any] = dataclasses.MISSING							,    A__					:   dict = None							,    **A__					:   List[str]							,    ):
  '''simple docstring'''





  if metadata is None:
    # Important, don't use as default param in function signature because dict is mutable and shared across function calls
    lowerCAmelCase_			:      Dict			=   {}
  if aliases is not None:
    lowerCAmelCase_			:      Union[str, Any]			=   aliases
  if help is not None:
    lowerCAmelCase_			:      List[Any]			=   help

  return dataclasses.field(metadata=A__							,    default=A__							,    default_factory=A__							,    **A__					)






class    __snake_case       (   _SCREAMING_SNAKE_CASE):







    """simple docstring"""



    lowercase    =					42

    def __init__(   self    :  List[str]    ,						lowerCamelCase    :  Union[DataClassType, Iterable[DataClassType]]    ,						**lowerCamelCase    :  List[str]		)   ->  Union[str, Any]:
      # To make the default appear when using --help
      if "formatter_class" not in kwargs:
        lowerCAmelCase_			:      Any			=   ArgumentDefaultsHelpFormatter
      super().__init__(**lowerCamelCase		)
      if dataclasses.is_dataclass(lowerCamelCase		):
        lowerCAmelCase_			:      List[str]			=   [dataclass_types]
      lowerCAmelCase_			:      Tuple			=   list(lowerCamelCase		)
      for dtype in self.dataclass_types:
        self._add_dataclass_arguments(lowerCamelCase		)

    @staticmethod
    def __lowercase   (   lowerCamelCase    :  ArgumentParser    ,						lowerCamelCase    :  dataclasses.Field		)   ->  List[Any]:
      lowerCAmelCase_			:      Dict			=   F'--{field.name}'
      lowerCAmelCase_			:      Optional[Any]			=   field.metadata.copy()
      # field.metadata is not used at all by Data Classes,
      # it is provided as a third-party extension mechanism.
      if isinstance(field.type    ,						lowerCamelCase		):
        raise RuntimeError(
            """Unresolved type detected, which should have been done with the help of """
            """`typing.get_type_hints` method by default"""		)

      lowerCAmelCase_			:      Any			=   kwargs.pop("""aliases"""    ,						[]		)
      if isinstance(lowerCamelCase    ,						lowerCamelCase		):
        lowerCAmelCase_			:      Union[str, Any]			=   [aliases]

      lowerCAmelCase_			:      List[Any]			=   getattr(field.type    ,						"""__origin__"""    ,						field.type		)
      if origin_type is Union or (hasattr(lowerCamelCase    ,						"""UnionType"""		) and isinstance(lowerCamelCase    ,						types.UnionType		)):
        if str not in field.type.__args__ and (
            len(field.type.__args__		) != 2 or type(lowerCamelCase		) not in field.type.__args__
        ):
          raise ValueError(
              """Only `Union[X, NoneType]` (i.e., `Optional[X]`) is allowed for `Union` because"""
              """ the argument parser only supports one type per argument."""
              F' Problem encountered in field \'{field.name}\'.'		)
        if type(lowerCamelCase		) not in field.type.__args__:
          # filter `str` in Union
          lowerCAmelCase_			:      Dict			=   field.type.__args__[0] if field.type.__args__[1] == str else field.type.__args__[1]
          lowerCAmelCase_			:      int			=   getattr(field.type    ,						"""__origin__"""    ,						field.type		)
        elif bool not in field.type.__args__:
          # filter `NoneType` in Union (except for `Union[bool, NoneType]`)
          lowerCAmelCase_			:      Union[str, Any]			=   (
              field.type.__args__[0] if isinstance(lowerCamelCase    ,						field.type.__args__[1]		) else field.type.__args__[1]
          )
          lowerCAmelCase_			:      int			=   getattr(field.type    ,						"""__origin__"""    ,						field.type		)

        # A variable to store kwargs for a boolean field, if needed
        # so that we can init a `no_*` complement argument (see below)
      lowerCAmelCase_			:      List[str]			=   {}
      if origin_type is Literal or (isinstance(field.type    ,						lowerCamelCase		) and issubclass(field.type    ,						lowerCamelCase		)):
        if origin_type is Literal:
          lowerCAmelCase_			:      Union[str, Any]			=   field.type.__args__
        else:
          lowerCAmelCase_			:      int			=   [x.value for x in field.type]

        lowerCAmelCase_			:      int			=   make_choice_type_function(kwargs["""choices"""]		)

        if field.default is not dataclasses.MISSING:
          lowerCAmelCase_			:      Any			=   field.default
        else:
          lowerCAmelCase_			:      int			=   True
      elif field.type is bool or field.type == Optional[bool]:
        # Copy the currect kwargs to use to instantiate a `no_*` complement argument below.
        # We do not initialize it here because the `no_*` alternative must be instantiated after the real argument
        lowerCAmelCase_			:      Tuple			=   copy(lowerCamelCase		)

        # Hack because type=bool in argparse does not behave as we want.
        lowerCAmelCase_			:      Dict			=   string_to_bool
        if field.type is bool or (field.default is not None and field.default is not dataclasses.MISSING):
          # Default value is False if we have no default when of type bool.
          lowerCAmelCase_			:      List[str]			=   False if field.default is dataclasses.MISSING else field.default
          # This is the value that will get picked if we don't include --field_name in any way
          lowerCAmelCase_			:      Dict			=   default
          # This tells argparse we accept 0 or 1 value after --field_name
          lowerCAmelCase_			:      Optional[int]			=   """?"""
          # This is the value that will get picked if we do --field_name (without value)
          lowerCAmelCase_			:      List[Any]			=   True
      elif isclass(lowerCamelCase		) and issubclass(lowerCamelCase    ,						lowerCamelCase		):
        lowerCAmelCase_			:      Any			=   field.type.__args__[0]
        lowerCAmelCase_			:      int			=   """+"""
        if field.default_factory is not dataclasses.MISSING:
          lowerCAmelCase_			:      Dict			=   field.default_factory()
        elif field.default is dataclasses.MISSING:
          lowerCAmelCase_			:      List[Any]			=   True
      else:
        lowerCAmelCase_			:      Dict			=   field.type
        if field.default is not dataclasses.MISSING:
          lowerCAmelCase_			:      Dict			=   field.default
        elif field.default_factory is not dataclasses.MISSING:
          lowerCAmelCase_			:      Union[str, Any]			=   field.default_factory()
        else:
          lowerCAmelCase_			:      str			=   True
      parser.add_argument(lowerCamelCase    ,						*lowerCamelCase    ,						**lowerCamelCase		)

      # Add a complement `no_*` argument for a boolean field AFTER the initial field has already been added.
      # Order is important for arguments with the same destination!
      # We use a copy of earlier kwargs because the original kwargs have changed a lot before reaching down
      # here and we do not need those changes/additional keys.
      if field.default is True and (field.type is bool or field.type == Optional[bool]):
        lowerCAmelCase_			:      Optional[int]			=   False
        parser.add_argument(F'--no_{field.name}'    ,						action="""store_false"""    ,						dest=field.name    ,						**lowerCamelCase		)

    def __lowercase   (   self    :  int    ,						lowerCamelCase    :  DataClassType		)   ->  Tuple:
      if hasattr(lowerCamelCase    ,						"""_argument_group_name"""		):
        lowerCAmelCase_			:      Tuple			=   self.add_argument_group(dtype._argument_group_name		)
      else:
        lowerCAmelCase_			:      Any			=   self

      try:
        lowerCAmelCase_			:      Dict[str, type]			=   get_type_hints(lowerCamelCase		)
      except NameError:
        raise RuntimeError(
            F'Type resolution failed for {dtype}. Try declaring the class in global scope or '
            """removing line of `from __future__ import annotations` which opts in Postponed """
            """Evaluation of Annotations (PEP 563)"""		)
      except TypeError as ex:
        # Remove this block when we drop Python 3.9 support
        if sys.version_info[:2] < (3, 10) and "unsupported operand type(s) for |" in str(lowerCamelCase		):
          lowerCAmelCase_			:      List[str]			=   """.""".join(map(lowerCamelCase    ,						sys.version_info[:3]		)		)
          raise RuntimeError(
              F'Type resolution failed for {dtype} on Python {python_version}. Try removing '
              """line of `from __future__ import annotations` which opts in union types as """
              """`X | Y` (PEP 604) via Postponed Evaluation of Annotations (PEP 563). To """
              """support Python versions that lower than 3.10, you need to use """
              """`typing.Union[X, Y]` instead of `X | Y` and `typing.Optional[X]` instead of """
              """`X | None`."""		) from ex
        raise

      for field in dataclasses.fields(lowerCamelCase		):
        if not field.init:
          continue
        lowerCAmelCase_			:      Optional[Any]			=   type_hints[field.name]
        self._parse_dataclass_field(lowerCamelCase    ,						lowerCamelCase		)

    def __lowercase   (   self    :  Dict    ,						lowerCamelCase    :  Optional[Any]=None    ,						lowerCamelCase    :  Union[str, Any]=False    ,						lowerCamelCase    :  Any=True    ,						lowerCamelCase    :  Optional[int]=None    ,						lowerCamelCase    :  Union[str, Any]=None    ,						)   ->  Tuple[DataClass, ...]:

      if args_file_flag or args_filename or (look_for_args_file and len(sys.argv		)):
        lowerCAmelCase_			:      Optional[Any]			=   []

        if args_filename:
          args_files.append(Path(lowerCamelCase		)		)
        elif look_for_args_file and len(sys.argv		):
          args_files.append(Path(sys.argv[0]		).with_suffix(""".args"""		)		)

        # args files specified via command line flag should overwrite default args files so we add them last
        if args_file_flag:
          # Create special parser just to extract the args_file_flag values
          lowerCAmelCase_			:      Any			=   ArgumentParser()
          args_file_parser.add_argument(lowerCamelCase    ,						type=lowerCamelCase    ,						action="""append"""		)

          # Use only remaining args for further parsing (remove the args_file_flag)
          lowerCAmelCase_,							lowerCAmelCase_			:      int			=   args_file_parser.parse_known_args(args=lowerCamelCase		)
          lowerCAmelCase_			:      str			=   vars(lowerCamelCase		).get(args_file_flag.lstrip("""-"""		)    ,						lowerCamelCase		)

          if cmd_args_file_paths:
            args_files.extend([Path(lowerCamelCase		) for p in cmd_args_file_paths]		)

        lowerCAmelCase_			:      List[str]			=   []
        for args_file in args_files:
          if args_file.exists():
            file_args += args_file.read_text().split()

            # in case of duplicate arguments the last one has precedence
            # args specified via the command line should overwrite args from files, so we add them last
        lowerCAmelCase_			:      Tuple			=   file_args + args if args is not None else file_args + sys.argv[1:]
      lowerCAmelCase_,							lowerCAmelCase_			:      List[Any]			=   self.parse_known_args(args=lowerCamelCase		)
      lowerCAmelCase_			:      List[str]			=   []
      for dtype in self.dataclass_types:
        lowerCAmelCase_			:      Optional[Any]			=   {f.name for f in dataclasses.fields(lowerCamelCase		) if f.init}
        lowerCAmelCase_			:      int			=   {k: v for k, v in vars(lowerCamelCase		).items() if k in keys}
        for k in keys:
          delattr(lowerCamelCase    ,						lowerCamelCase		)
        lowerCAmelCase_			:      Tuple			=   dtype(**lowerCamelCase		)
        outputs.append(lowerCamelCase		)
      if len(namespace.__dict__		) > 0:
        # additional namespace.
        outputs.append(lowerCamelCase		)
      if return_remaining_strings:
        return (*outputs, remaining_args)
      else:
        if remaining_args:
          raise ValueError(F'Some specified arguments are not used by the HfArgumentParser: {remaining_args}'		)

        return (*outputs,)

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  Dict[str, Any]    ,						lowerCamelCase    :  bool = False		)   ->  Tuple[DataClass, ...]:
      lowerCAmelCase_			:      int			=   set(args.keys()		)
      lowerCAmelCase_			:      List[str]			=   []
      for dtype in self.dataclass_types:
        lowerCAmelCase_			:      str			=   {f.name for f in dataclasses.fields(lowerCamelCase		) if f.init}
        lowerCAmelCase_			:      str			=   {k: v for k, v in args.items() if k in keys}
        unused_keys.difference_update(inputs.keys()		)
        lowerCAmelCase_			:      Union[str, Any]			=   dtype(**lowerCamelCase		)
        outputs.append(lowerCamelCase		)
      if not allow_extra_keys and unused_keys:
        raise ValueError(F'Some keys are not used by the HfArgumentParser: {sorted(lowerCamelCase		)}'		)
      return tuple(lowerCamelCase		)

    def __lowercase   (   self    :  List[str]    ,						lowerCamelCase    :  str    ,						lowerCamelCase    :  bool = False		)   ->  Tuple[DataClass, ...]:
      with open(Path(lowerCamelCase		)    ,						encoding="""utf-8"""		) as open_json_file:
        lowerCAmelCase_			:      List[Any]			=   json.loads(open_json_file.read()		)
      lowerCAmelCase_			:      int			=   self.parse_dict(lowerCamelCase    ,						allow_extra_keys=lowerCamelCase		)
      return tuple(lowerCamelCase		)





    def __lowercase   (   self    :  Any    ,						lowerCamelCase    :  str    ,						lowerCamelCase    :  bool = False		)   ->  Tuple[DataClass, ...]:
      lowerCAmelCase_			:      List[Any]			=   self.parse_dict(yaml.safe_load(Path(lowerCamelCase		).read_text()		)    ,						allow_extra_keys=lowerCamelCase		)
      return tuple(lowerCamelCase		)







'''simple docstring'''






import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin






class    __snake_case       (   _SCREAMING_SNAKE_CASE	,unittest.TestCase):







    """simple docstring"""



    lowercase    =					BioGptTokenizer
    lowercase    =					False

    def __lowercase   (   self    :  List[Any]		)   ->  List[str]:
      super().setUp()

      # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
      lowerCAmelCase_			:      Optional[Any]			=   [
          """l""",
          """o""",
          """w""",
          """e""",
          """r""",
          """s""",
          """t""",
          """i""",
          """d""",
          """n""",
          """w</w>""",
          """r</w>""",
          """t</w>""",
          """lo""",
          """low""",
          """er</w>""",
          """low</w>""",
          """lowest</w>""",
          """newer</w>""",
          """wider</w>""",
          """<unk>""",
      ]
      lowerCAmelCase_			:      int			=   dict(zip(lowerCamelCase    ,						range(len(lowerCamelCase		)		)		)		)
      lowerCAmelCase_			:      int			=   ["""l o 123""", """lo w 1456""", """e r</w> 1789""", """"""]

      lowerCAmelCase_			:      Optional[int]			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""vocab_file"""]		)
      lowerCAmelCase_			:      Union[str, Any]			=   os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES["""merges_file"""]		)
      with open(self.vocab_file    ,						"""w"""		) as fp:
        fp.write(json.dumps(lowerCamelCase		)		)
      with open(self.merges_file    ,						"""w"""		) as fp:
        fp.write("""\n""".join(lowerCamelCase		)		)

    def __lowercase   (   self    :  Union[str, Any]    ,						lowerCamelCase    :  Any		)   ->  List[str]:
      lowerCAmelCase_			:      Dict			=   """lower newer"""
      lowerCAmelCase_			:      str			=   """lower newer"""
      return input_text, output_text

    def __lowercase   (   self    :  Optional[int]		)   ->  str:
      lowerCAmelCase_			:      Any			=   BioGptTokenizer(self.vocab_file    ,						self.merges_file		)

      lowerCAmelCase_			:      int			=   """lower"""
      lowerCAmelCase_			:      str			=   ["""low""", """er</w>"""]
      lowerCAmelCase_			:      Any			=   tokenizer.tokenize(lowerCamelCase		)
      self.assertListEqual(lowerCamelCase    ,						lowerCamelCase		)

      lowerCAmelCase_			:      Dict			=   tokens + ["""<unk>"""]
      lowerCAmelCase_			:      Optional[Any]			=   [14, 15, 20]
      self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase		)    ,						lowerCamelCase		)





    @slow
    def __lowercase   (   self    :  str		)   ->  Optional[Any]:
      lowerCAmelCase_			:      Dict			=   BioGptTokenizer.from_pretrained("""microsoft/biogpt"""		)

      lowerCAmelCase_			:      int			=   tokenizer.encode("""sequence builders"""    ,						add_special_tokens=lowerCamelCase		)
      lowerCAmelCase_			:      Optional[Any]			=   tokenizer.encode("""multi-sequence build"""    ,						add_special_tokens=lowerCamelCase		)

      lowerCAmelCase_			:      str			=   tokenizer.build_inputs_with_special_tokens(lowerCamelCase		)
      lowerCAmelCase_			:      Optional[int]			=   tokenizer.build_inputs_with_special_tokens(lowerCamelCase    ,						lowerCamelCase		)

      self.assertTrue(encoded_sentence == [2] + text		)
      self.assertTrue(encoded_pair == [2] + text + [2] + text_a		)



