





"""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


a__					:     str							=				{}
for task, _ in pipeline_test_mapping.items():
   a__					:     Optional[Any]							=				{"""pt""": None, """tf""": None}


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





def 							a__			(  _UpperCAmelCase	)    ->  str:

 '''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 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	)    ->  Dict:

 '''simple docstring'''






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

 snake_case__    							=				pipeline_test_mapping[task]["test"]
 snake_case__    							=				None

 if framework == "pt":
  snake_case__    							=				getattr(_UpperCAmelCase	,     "model_mapping"	,     _UpperCAmelCase	)
 elif framework == "tf":
  snake_case__    							=				getattr(_UpperCAmelCase	,     "tf_model_mapping"	,     _UpperCAmelCase	)

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

 # cache the results
 snake_case__    							=				mapping
 return mapping





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	)    ->  Any:

 '''simple docstring'''






 snake_case__    							=				get_framework(_UpperCAmelCase	)
 if framework is None:
  return None
 snake_case__    							=				get_mapping_for_task(_UpperCAmelCase	,     _UpperCAmelCase	)
 if mapping is None:
  return None

 snake_case__    							=				list({model_class.config_class for model_class in test_class.all_model_classes}	)
 if len(_UpperCAmelCase	) != 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.
 snake_case__    							=				mapping.get(config_classes[0]	,     _UpperCAmelCase	)
 if isinstance(_UpperCAmelCase	,     (tuple, list)	):
  snake_case__    							=				sorted(_UpperCAmelCase	,     key=lambda _UpperCAmelCase	: x.__name__	)

 return model_class





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

 '''simple docstring'''






 snake_case__    							=				[(task, get_model_for_pipeline_test(_UpperCAmelCase	,     _UpperCAmelCase	)) for task in pipeline_test_mapping]
 snake_case__    							=				sorted([(task, model) for task, model in mapping if model is not None]	,     key=lambda _UpperCAmelCase	: x[0]	)

 return dict(_UpperCAmelCase	)





def 							a__			(  _UpperCAmelCase	)    ->  str:

 '''simple docstring'''






 snake_case__    							=				get_framework(_UpperCAmelCase	)
 if framework == "pt":
  snake_case__    							=				"torch"
 snake_case__    							=				"{}"

 snake_case__    							=				get_pipeline_model_mapping(_UpperCAmelCase	)
 if len(_UpperCAmelCase	) == 0:
  return ""

 snake_case__    							=				[]
 for task, model_classes in mapping.items():
  if isinstance(_UpperCAmelCase	,     (tuple, list)	):
   # A list/tuple of model classes
   snake_case__    							=				"(" + ", ".join([x.__name__ for x in model_classes]	) + ")"
  else:
   # A single model class
   snake_case__    							=				model_classes.__name__
  texts.append(f"\"{task}\": {value}"	)
 snake_case__    							=				"{" + ", ".join(_UpperCAmelCase	) + "}"
 snake_case__    							=				f"pipeline_model_mapping = {text} if is_{framework}_available() else {default_value}"

 return text





def 							a__			(  _UpperCAmelCase	)    ->  Dict:

 '''simple docstring'''






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





def 							a__			(  _UpperCAmelCase	)    ->  str:

 '''simple docstring'''






 snake_case__    							=				[x for x in get_test_classes(_UpperCAmelCase	) if is_valid_test_class(_UpperCAmelCase	)]

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

 return target_test_class





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase	,     _UpperCAmelCase	)    ->  int:

 '''simple docstring'''






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

 return end_idx





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase=False	)    ->  Union[str, Any]:

 '''simple docstring'''






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

 snake_case__    							=				get_pipeline_model_mapping_string(_UpperCAmelCase	)
 if len(_UpperCAmelCase	) == 0:
  return "", -1
 snake_case__    							=				line_to_add + "\n"

 # The code defined the class `test_class`
 snake_case__							,   snake_case__    							=				inspect.getsourcelines(_UpperCAmelCase	)
 # `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(_UpperCAmelCase	):
  if line.lstrip().startswith("class "	):
   snake_case__    							=				class_lines[idx:]
   class_start_line_no += idx
   break
 snake_case__    							=				class_start_line_no + len(_UpperCAmelCase	) - 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`.
 snake_case__    							=				None
 # The indent level of the line at `class_lines[start_idx]` (if defined)
 snake_case__    							=				0
 # To record if `pipeline_model_mapping` is found in `test_class`.
 snake_case__    							=				None
 for idx, line in enumerate(_UpperCAmelCase	):
  if line.strip().startswith("all_model_classes = "	):
   snake_case__    							=				len(_UpperCAmelCase	) - len(line.lstrip()	)
   snake_case__    							=				idx
  elif line.strip().startswith("all_generative_model_classes = "	):
   snake_case__    							=				len(_UpperCAmelCase	) - len(line.lstrip()	)
   snake_case__    							=				idx
  elif line.strip().startswith("pipeline_model_mapping = "	):
   snake_case__    							=				len(_UpperCAmelCase	) - len(line.lstrip()	)
   snake_case__    							=				idx
   snake_case__    							=				line
   break

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

 # 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
 snake_case__    							=				re.compile(R"\s(is_\S+?_available\(\))\s"	)
 for line in class_lines[start_idx : end_idx + 1]:
  snake_case__    							=				r.search(_UpperCAmelCase	)
  if backend_condition is not None:
   # replace the leading and trailing whitespaces to the space character " ".
   snake_case__    							=				" " + backend_condition[0][1:-1] + " "
   snake_case__    							=				r.sub(_UpperCAmelCase	,     _UpperCAmelCase	)
   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`.
  snake_case__    							=				end_idx
 else:
  # `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
  snake_case__    							=				start_idx - 1
  # mark the lines of the currently existing `pipeline_model_mapping` to be removed.
  for idx in range(_UpperCAmelCase	,     end_idx + 1	):
   # These lines are going to be removed before writing to the test file.
   snake_case__    							=				None  # noqa

    # Make sure the test class is a subclass of `PipelineTesterMixin`.
 snake_case__    							=				[x.__name__ for x in test_class.__bases__]
 if "PipelineTesterMixin" not in parent_classes:
  # Put `PipelineTesterMixin` just before `unittest.TestCase`
  snake_case__    							=				[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"	)
  snake_case__    							=				", ".join(_parent_classes	)
  for idx, line in enumerate(_UpperCAmelCase	):
   # 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	):
     snake_case__    							=				None  # noqa
    break
        # Add the new, one-line, class declaration for `test_class`
  snake_case__    							=				f"class {test_class.__name__}({parent_classes}):\n"

 # Add indentation
 snake_case__    							=				" " * indent_level + line_to_add
 # Insert `pipeline_model_mapping` to `class_lines`.
 # (The line at `target_idx` should be kept by definition!)
 snake_case__    							=				class_lines[: target_idx + 1] + [line_to_add] + class_lines[target_idx + 1 :]
 # Remove the lines that are marked to be removed
 snake_case__    							=				[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)
 snake_case__    							=				inspect.getsourcelines(inspect.getmodule(_UpperCAmelCase	)	)[0]
 # Be careful with the 1-off between line numbers and array indices
 snake_case__    							=				module_lines[: class_start_line_no - 1] + class_lines + module_lines[class_end_line_no:]
 snake_case__    							=				"".join(_UpperCAmelCase	)

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

 return line_to_add





def 							a__			(  _UpperCAmelCase	,     _UpperCAmelCase=False	)    ->  List[Any]:

 '''simple docstring'''






 snake_case__    							=				find_test_class(_UpperCAmelCase	)
 if test_class:
  add_pipeline_model_mapping(_UpperCAmelCase	,     overwrite=_UpperCAmelCase	)


if __name__ == "__main__":
   a__					:     Dict							=				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`.""",
   )
   a__					:     List[str]							=				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.""")

   a__					:     List[str]							=				[]
   if args.test_file:
      a__					:     Optional[int]							=				[args.test_file]
   else:
      a__					:     str							=				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"""


from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


a__					:     List[Any]							=				{
    """configuration_bart""": ["""BART_PRETRAINED_CONFIG_ARCHIVE_MAP""", """BartConfig""", """BartOnnxConfig"""],
    """tokenization_bart""": ["""BartTokenizer"""],
}

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__					:     Any							=				["""BartTokenizerFast"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__					:     List[Any]							=				[
       """BART_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """BartForCausalLM""",
       """BartForConditionalGeneration""",
       """BartForQuestionAnswering""",
       """BartForSequenceClassification""",
       """BartModel""",
       """BartPretrainedModel""",
       """PretrainedBartModel""",
   ]

try:
   if not is_tf_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__					:     List[str]							=				[
       """TFBartForConditionalGeneration""",
       """TFBartForSequenceClassification""",
       """TFBartModel""",
       """TFBartPretrainedModel""",
   ]

try:
   if not is_flax_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   a__					:     Any							=				[
       """FlaxBartDecoderPreTrainedModel""",
       """FlaxBartForCausalLM""",
       """FlaxBartForConditionalGeneration""",
       """FlaxBartForQuestionAnswering""",
       """FlaxBartForSequenceClassification""",
       """FlaxBartModel""",
       """FlaxBartPreTrainedModel""",
   ]

if TYPE_CHECKING:
   from .configuration_bart import BART_PRETRAINED_CONFIG_ARCHIVE_MAP, BartConfig, BartOnnxConfig
   from .tokenization_bart import BartTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_bart_fast import BartTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_bart import (
          BART_PRETRAINED_MODEL_ARCHIVE_LIST,
          BartForCausalLM,
          BartForConditionalGeneration,
          BartForQuestionAnswering,
          BartForSequenceClassification,
          BartModel,
          BartPretrainedModel,
          PretrainedBartModel,
      )

   try:
      if not is_tf_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_tf_bart import (
          TFBartForConditionalGeneration,
          TFBartForSequenceClassification,
          TFBartModel,
          TFBartPretrainedModel,
      )

   try:
      if not is_flax_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_flax_bart import (
          FlaxBartDecoderPreTrainedModel,
          FlaxBartForCausalLM,
          FlaxBartForConditionalGeneration,
          FlaxBartForQuestionAnswering,
          FlaxBartForSequenceClassification,
          FlaxBartModel,
          FlaxBartPreTrainedModel,
      )

else:
   import sys

   a__					:     int							=				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

