


"""simple docstring"""







import argparse
import glob
import inspect
import os
import re
import unittest

from get_test_info import get_test_classes

from tests.test_pipeline_mixin import pipeline_test_mapping


__lowercase          = {}
for task, _ in pipeline_test_mapping.items():
 __lowercase          = {"""pt""": None, """tf""": None}


# DO **NOT** add item to this set (unless the reason is approved)
__lowercase          = {
    """tests/models/esm/test_modeling_esmfold.py""",  # The pipeline test mapping is added to `test_modeling_esm.py`
}


def 	lowercase     (							A_			)-> List[Any]:
  '''simple docstring'''







  if "ModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
    return "pt"
  elif "TFModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
    return "tf"
  elif "FlaxModelTesterMixin" in [x.__name__ for x in test_class.__bases__]:
    return "flax"
  else:
    return None


def 	lowercase     (							A_    ,  A_			)-> int:
  '''simple docstring'''







  if PIPELINE_TEST_MAPPING[task].get(_lowercase    ,  _lowercase			) is not None:
    return PIPELINE_TEST_MAPPING[task][framework]

  a		:						List[Any] 				=     pipeline_test_mapping[task]["""test"""]
  a		:						Optional[int] 				=     None

  if framework == "pt":
    a		:						int 				=     getattr(_lowercase    ,  "model_mapping"    ,  _lowercase			)
  elif framework == "tf":
    a		:						Optional[Any] 				=     getattr(_lowercase    ,  "tf_model_mapping"    ,  _lowercase			)

  if mapping is not None:
    a		:						str 				=     dict(mapping.items()			)

  # cache the results
  a		:						Optional[Any] 				=     mapping
  return mapping


def 	lowercase     (							A_    ,  A_			)-> Tuple:
  '''simple docstring'''







  a		:						str 				=     get_framework(_lowercase			)
  if framework is None:
    return None
  a		:						Optional[Any] 				=     get_mapping_for_task(_lowercase    ,  _lowercase			)
  if mapping is None:
    return None

  a		:						List[Any] 				=     list({model_class.config_class for model_class in test_class.all_model_classes}			)
  if len(_lowercase			) != 1:
    raise ValueError("There should be exactly one configuration class from `test_class.all_model_classes`."			)

  # This could be a list/tuple of model classes, but it's rare.
  a		:						Optional[Any] 				=     mapping.get(config_classes[0]    ,  _lowercase			)
  if isinstance(_lowercase    ,  (tuple, list)			):
    a		:						Any 				=     sorted(_lowercase    ,  key=lambda A_			: x.__name__			)

  return model_class


def 	lowercase     (							A_			)-> List[str]:
  '''simple docstring'''







  a		:						List[str] 				=     [(task, get_model_for_pipeline_test(_lowercase    ,  _lowercase			)) for task in pipeline_test_mapping]
  a		:						Optional[Any] 				=     sorted([(task, model) for task, model in mapping if model is not None]    ,  key=lambda A_			: x[0]			)

  return dict(_lowercase			)


def 	lowercase     (							A_			)-> int:
  '''simple docstring'''







  a		:						Union[str, Any] 				=     get_framework(_lowercase			)
  if framework == "pt":
    a		:						Optional[Any] 				=     """torch"""
  a		:						Dict 				=     """{}"""

  a		:						Any 				=     get_pipeline_model_mapping(_lowercase			)
  if len(_lowercase			) == 0:
    return ""

  a		:						List[Any] 				=     []
  for task, model_classes in mapping.items():
    if isinstance(_lowercase    ,  (tuple, list)			):
      # A list/tuple of model classes
      a		:						Tuple 				=     """(""" + """, """.join([x.__name__ for x in model_classes]			) + """)"""
    else:
      # A single model class
      a		:						Optional[int] 				=     model_classes.__name__
    texts.append(F'''"{task}": {value}'''			)
  a		:						Tuple 				=     """{""" + """, """.join(_lowercase			) + """}"""
  a		:						str 				=     F'''pipeline_model_mapping = {text} if is_{framework}_available() else {default_value}'''

  return text


def 	lowercase     (							A_			)-> Union[str, Any]:
  '''simple docstring'''







  a		:						List[Any] 				=     {"""ModelTesterMixin""", """TFModelTesterMixin""", """FlaxModelTesterMixin"""}
  if not issubclass(_lowercase    ,  unittest.TestCase			):
    return False
  return len(base_class_names.intersection([x.__name__ for x in test_class.__bases__]			)			) > 0


def 	lowercase     (							A_			)-> List[str]:
  '''simple docstring'''







  a		:						List[Any] 				=     [x for x in get_test_classes(_lowercase			) if is_valid_test_class(_lowercase			)]

  a		:						Dict 				=     None
  for test_class in test_classes:
    # If a test class has defined `pipeline_model_mapping`, let's take it
    if getattr(_lowercase    ,  "pipeline_model_mapping"    ,  _lowercase			) is not None:
      a		:						List[Any] 				=     test_class
      break
    # Take the test class with the shortest name (just a heuristic)
  if target_test_class is None and len(_lowercase			) > 0:
    a		:						List[Any] 				=     sorted(_lowercase    ,  key=lambda A_			: (len(x.__name__			), x.__name__)			)[0]

  return target_test_class


def 	lowercase     (							A_    ,  A_    ,  A_			)-> Optional[Any]:
  '''simple docstring'''







  a		:						Union[str, Any] 				=     start_idx
  for idx, line in enumerate(lines[start_idx:]			):
    a		:						int 				=     len(_lowercase			) - len(line.lstrip()			)
    if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
      a		:						str 				=     start_idx + idx
    elif idx > 0 and indent <= indent_level:
      # Outside the definition block of `pipeline_model_mapping`
      break

  return end_idx


def 	lowercase     (							A_    ,  A_=False			)-> List[Any]:
  '''simple docstring'''







  if getattr(_lowercase    ,  "pipeline_model_mapping"    ,  _lowercase			) is not None:
    if not overwrite:
      return "", -1

  a		:						Tuple 				=     get_pipeline_model_mapping_string(_lowercase			)
  if len(_lowercase			) == 0:
    return "", -1
  a		:						List[str] 				=     line_to_add + """\n"""

  # The code defined the class `test_class`
  a		:						List[Any] 				=     inspect.getsourcelines(_lowercase			)
  # `inspect` gives the code for an object, including decorator(s) if any.
  # We (only) need the exact line of the class definition.
  for idx, line in enumerate(_lowercase			):
    if line.lstrip().startswith("class "			):
      a		:						Optional[int] 				=     class_lines[idx:]
      class_start_line_no += idx
      break
  a		:						Any 				=     class_start_line_no + len(_lowercase			) - 1

  # The index in `class_lines` that starts the definition of `all_model_classes`, `all_generative_model_classes` or
  # `pipeline_model_mapping`. This assumes they are defined in such order, and we take the start index of the last
  # block that appears in a `test_class`.
  a		:						Any 				=     None
  # The indent level of the line at `class_lines[start_idx]` (if defined)
  a		:						str 				=     0
  # To record if `pipeline_model_mapping` is found in `test_class`.
  a		:						int 				=     None
  for idx, line in enumerate(_lowercase			):
    if line.strip().startswith("all_model_classes = "			):
      a		:						Optional[int] 				=     len(_lowercase			) - len(line.lstrip()			)
      a		:						str 				=     idx
    elif line.strip().startswith("all_generative_model_classes = "			):
      a		:						List[str] 				=     len(_lowercase			) - len(line.lstrip()			)
      a		:						str 				=     idx
    elif line.strip().startswith("pipeline_model_mapping = "			):
      a		:						Optional[int] 				=     len(_lowercase			) - len(line.lstrip()			)
      a		:						Tuple 				=     idx
      a		:						Dict 				=     line
      break

  if start_idx is None:
    return "", -1
  # Find the ending index (inclusive) of the above found block.
  a		:						str 				=     find_block_ending(_lowercase    ,  _lowercase    ,  _lowercase			)

  # Extract `is_xxx_available()` from existing blocks: some models require specific libraries like `timm` and use
  # `is_timm_available()` instead of `is_torch_available()`.
  # Keep leading and trailing whitespaces
  a		:						Optional[Any] 				=     re.compile(R"\s(is_\S+?_available\(\))\s"			)
  for line in class_lines[start_idx : end_idx + 1]:
    a		:						Any 				=     r.search(_lowercase			)
    if backend_condition is not None:
      # replace the leading and trailing whitespaces to the space character " ".
      a		:						int 				=     """ """ + backend_condition[0][1:-1] + """ """
      a		:						Union[str, Any] 				=     r.sub(_lowercase    ,  _lowercase			)
      break

  if def_line is None:
    # `pipeline_model_mapping` is not defined. The target index is set to the ending index (inclusive) of
    # `all_model_classes` or `all_generative_model_classes`.
    a		:						Any 				=     end_idx
  else:
    # `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
    a		:						Optional[int] 				=     start_idx - 1
    # mark the lines of the currently existing `pipeline_model_mapping` to be removed.
    for idx in range(_lowercase    ,  end_idx + 1			):
      # These lines are going to be removed before writing to the test file.
      a		:						Optional[int] 				=     None  # noqa

    # Make sure the test class is a subclass of `PipelineTesterMixin`.
  a		:						int 				=     [x.__name__ for x in test_class.__bases__]
  if "PipelineTesterMixin" not in parent_classes:
    # Put `PipelineTesterMixin` just before `unittest.TestCase`
    a		:						Tuple 				=     [x for x in parent_classes if x != """TestCase"""] + ["""PipelineTesterMixin"""]
    if "TestCase" in parent_classes:
      # Here we **assume** the original string is always with `unittest.TestCase`.
      _parent_classes.append("unittest.TestCase"			)
    a		:						List[Any] 				=     """, """.join(_parent_classes			)
    for idx, line in enumerate(_lowercase			):
      # Find the ending of the declaration of `test_class`
      if line.strip().endswith("):"			):
        # mark the lines of the declaration of `test_class` to be removed
        for _idx in range(idx + 1			):
          a		:						Optional[Any] 				=     None  # noqa
        break
        # Add the new, one-line, class declaration for `test_class`
    a		:						Optional[Any] 				=     F'''class {test_class.__name__}({parent_classes}):\n'''

  # Add indentation
  a		:						int 				=     """ """ * indent_level + line_to_add
  # Insert `pipeline_model_mapping` to `class_lines`.
  # (The line at `target_idx` should be kept by definition!)
  a		:						List[str] 				=     class_lines[: target_idx + 1] + [line_to_add] + class_lines[target_idx + 1 :]
  # Remove the lines that are marked to be removed
  a		:						List[Any] 				=     [x for x in class_lines if x is not None]

  # Move from test class to module (in order to write to the test file)
  a		:						Optional[Any] 				=     inspect.getsourcelines(inspect.getmodule(_lowercase			)			)[0]
  # Be careful with the 1-off between line numbers and array indices
  a		:						Optional[int] 				=     module_lines[: class_start_line_no - 1] + class_lines + module_lines[class_end_line_no:]
  a		:						int 				=     """""".join(_lowercase			)

  a		:						Tuple 				=     inspect.getsourcefile(_lowercase			)
  with open(_lowercase    ,  "w"    ,  encoding="UTF-8"    ,  newline="\n"			) as fp:
    fp.write(_lowercase			)

  return line_to_add


def 	lowercase     (							A_    ,  A_=False			)-> Dict:
  '''simple docstring'''







  a		:						List[str] 				=     find_test_class(_lowercase			)
  if test_class:
    add_pipeline_model_mapping(_lowercase    ,  overwrite=_lowercase			)


if __name__ == "__main__":
 __lowercase          = argparse.ArgumentParser()
 parser.add_argument(
     """--test_file""", type=str, help="""A path to the test file, starting with the repository's `tests` directory."""
 )
 parser.add_argument(
     """--all""",
     action="""store_true""",
     help="""If to check and modify all test files.""",
 )
 parser.add_argument(
     """--overwrite""",
     action="""store_true""",
     help="""If to overwrite a test class if it has already defined `pipeline_model_mapping`.""",
 )
 __lowercase          = parser.parse_args()

 if not args.all and not args.test_file:
  raise ValueError("""Please specify either `test_file` or pass `--all` to check/modify all test files.""")
 elif args.all and args.test_file:
  raise ValueError("""Only one of `--test_file` and `--all` could be specified.""")

 __lowercase          = []
 if args.test_file:
  __lowercase          = [args.test_file]
 else:
  __lowercase          = os.path.join("""tests""", """models""", """**""", """test_modeling_*.py""")
  for test_file in glob.glob(pattern):
   # `Flax` is not concerned at this moment
   if not test_file.startswith("""test_modeling_flax_"""):
    test_files.append(test_file)

 for test_file in test_files:
  if test_file in TEST_FILE_TO_IGNORE:
   print(f'''[SKIPPED] {test_file} is skipped as it is in `TEST_FILE_TO_IGNORE` in the file {__file__}.''')
   continue
  add_pipeline_model_mapping_to_test_file(test_file, overwrite=args.overwrite)











'''simple docstring'''




import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import AddedToken, PreTrainedTokenizerFast
from ...utils import logging


a  :     Any       =       logging.get_logger(__name__)

a  :     int       =       {"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

a  :     List[Any]       =       {
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    },
    """tokenizer_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/tokenizer.json""",
    },
}

class      UpperCamelCase_					(				__magic_name__     ):





	def __init__(    self						,						A=None						,						A=None						,						A=False						,						A=True						,						A=False						,						A="<s>"						,						A="</s>"						,						A="<unk>"						,						A="<sep>"						,						A="<pad>"						,						A="<cls>"						,						A="<mask>"						,						A=["<eop>", "<eod>"]						,						**A						,						)     ->     Tuple:
								UpperCAmelCase	:						str					=						AddedToken(A						,						lstrip=A						,						rstrip=A       ) if isinstance(A						,						A       ) else mask_token

								super().__init__(
								    vocab_file=A						,						tokenizer_file=A						,						do_lower_case=A						,						remove_space=A						,						keep_accents=A						,						bos_token=A						,						eos_token=A						,						unk_token=A						,						sep_token=A						,						pad_token=A						,						cls_token=A						,						mask_token=A						,						additional_special_tokens=A						,						**A						,						)

								UpperCAmelCase	:						List[Any]					=						3
								UpperCAmelCase	:						Tuple					=						do_lower_case
								UpperCAmelCase	:						Union[str, Any]					=						remove_space
								UpperCAmelCase	:						Tuple					=						keep_accents
								UpperCAmelCase	:						Any					=						vocab_file
								UpperCAmelCase	:						Tuple					=						False if not self.vocab_file else True

								try:
															import jieba
								except ModuleNotFoundError as error:
															raise error.__class__(
															    """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
															    """See https://pypi.org/project/jieba/ for installation."""       )
								UpperCAmelCase	:						int					=						jieba
								UpperCAmelCase	:						Optional[int]					=						str.maketrans(""" \n"""						,						"""\u2582\u2583"""       )





	def 					_lowercase(    self						,						A						,						A = None       )     ->     List[int]:
								UpperCAmelCase	:						Optional[int]					=						[self.sep_token_id]
								UpperCAmelCase	:						str					=						[self.cls_token_id]
								if token_ids_a is None:
															return token_ids_a + sep + cls
								return token_ids_a + sep + token_ids_a + sep + cls





	def 					_lowercase(    self						,						A						,						A = None       )     ->     List[int]:
								UpperCAmelCase	:						Union[str, Any]					=						[self.sep_token_id]
								UpperCAmelCase	:						str					=						[2]

								if token_ids_a is None:
															return len(token_ids_a + sep       ) * [0] + cls_segment_id
								return len(token_ids_a + sep       ) * [0] + len(token_ids_a + sep       ) * [1] + cls_segment_id





	def 					_lowercase(    self						,						A						,						A = None       )     ->     Tuple[str]:
								if not self.can_save_slow_tokenizer:
															raise ValueError(
															    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
															    """tokenizer."""       )

								if not os.path.isdir(A       ):
															logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''       )
															return
								UpperCAmelCase	:						Tuple					=						os.path.join(
								    A						,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]       )

								if os.path.abspath(self.vocab_file       ) != os.path.abspath(A       ):
															copyfile(self.vocab_file						,						A       )

								return (out_vocab_file,)





	def 					_lowercase(    self						,						A						,						*A						,						**A       )     ->     List[Any]:
								UpperCAmelCase	:						Optional[Any]					=						[
								    """ """.join([x.translate(self.translator       ) for x in self.jieba.cut(A						,						cut_all=A       )]       )
								    for text in batch_text_or_text_pairs
								]
								return super()._batch_encode_plus(A						,						*A						,						**A       )






	def 					_lowercase(    self						,						*A						,						**A       )     ->     str:
								UpperCAmelCase	:						Optional[int]					=						super()._decode(*A						,						**A       )
								UpperCAmelCase	:						int					=						text.replace(""" """						,						""""""       ).replace("""\u2582"""						,						""" """       ).replace("""\u2583"""						,						"""\n"""       )
								return text

