
'''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


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


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


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Optional[Any]		)    ->						Tuple:

  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 	_UpperCAmelCase				(  _lowerCamelCase						:       Tuple  ,      _lowerCamelCase						:       Any		)    ->						Optional[int]:
  # Use the cached results
  if PIPELINE_TEST_MAPPING[task].get(_lowerCamelCase  ,      _lowerCamelCase		) is not None:
    return PIPELINE_TEST_MAPPING[task][framework]

  _lowerCAmelCase       :  Any   				=					pipeline_test_mapping[task]["""test"""]
  _lowerCAmelCase       :  Union[str, Any]   				=					None

  if framework == "pt":
    _lowerCAmelCase       :  List[str]   				=					getattr(_lowerCamelCase  ,      """model_mapping"""  ,      _lowerCamelCase		)
  elif framework == "tf":
    _lowerCAmelCase       :  int   				=					getattr(_lowerCamelCase  ,      """tf_model_mapping"""  ,      _lowerCamelCase		)

  if mapping is not None:
    _lowerCAmelCase       :  Union[str, Any]   				=					dict(mapping.items()		)

  # cache the results
  _lowerCAmelCase       :  Union[str, Any]   				=					mapping
  return mapping


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Tuple  ,      _lowerCamelCase						:       Optional[Any]		)    ->						int:
  _lowerCAmelCase       :  Any   				=					get_framework(_lowerCamelCase		)
  if framework is None:
    return None
  _lowerCAmelCase       :  List[str]   				=					get_mapping_for_task(_lowerCamelCase  ,      _lowerCamelCase		)
  if mapping is None:
    return None

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

  return model_class


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Dict		)    ->						Dict:
  _lowerCAmelCase       :  Optional[int]   				=					[(task, get_model_for_pipeline_test(_lowerCamelCase  ,      _lowerCamelCase		)) for task in pipeline_test_mapping]
  _lowerCAmelCase       :  List[str]   				=					sorted([(task, model) for task, model in mapping if model is not None]  ,      key=lambda _lowerCamelCase		: x[0]		)

  return dict(_lowerCamelCase		)


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Dict		)    ->						Union[str, Any]:
  _lowerCAmelCase       :  Optional[Any]   				=					get_framework(_lowerCamelCase		)
  if framework == "pt":
    _lowerCAmelCase       :  Tuple   				=					"""torch"""
  _lowerCAmelCase       :  List[str]   				=					"""{}"""

  _lowerCAmelCase       :  Optional[Any]   				=					get_pipeline_model_mapping(_lowerCamelCase		)
  if len(_lowerCamelCase		) == 0:
    return ""

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

  return text


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


def 	_UpperCAmelCase				(  _lowerCamelCase						:       List[Any]		)    ->						Optional[int]:
  _lowerCAmelCase       :  Dict   				=					[x for x in get_test_classes(_lowerCamelCase		) if is_valid_test_class(_lowerCamelCase		)]

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

  return target_test_class


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

  return end_idx


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Tuple  ,      _lowerCamelCase						:       int=False		)    ->						Optional[int]:
  if getattr(_lowerCamelCase  ,      """pipeline_model_mapping"""  ,      _lowerCamelCase		) is not None:
    if not overwrite:
      return "", -1

  _lowerCAmelCase       :  str   				=					get_pipeline_model_mapping_string(_lowerCamelCase		)
  if len(_lowerCamelCase		) == 0:
    return "", -1
  _lowerCAmelCase       :  List[Any]   				=					line_to_add + """\n"""

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

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

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

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

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

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

  return line_to_add


def 	_UpperCAmelCase				(  _lowerCamelCase						:       Union[str, Any]  ,      _lowerCamelCase						:       Tuple=False		)    ->						Any:
  _lowerCAmelCase       :  str   				=					find_test_class(_lowerCamelCase		)
  if test_class:
    add_pipeline_model_mapping(_lowerCamelCase  ,      overwrite=_lowerCamelCase		)


if __name__ == "__main__":
     UpperCamelCase_     			=       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`.""",
     )
     UpperCamelCase_     			=       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.""")

     UpperCamelCase_     			=       []
     if args.test_file:
          UpperCamelCase_     			=       [args.test_file]
     else:
          UpperCamelCase_     			=       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_torch_available,
)


UpperCamelCase_     			=       {
    """configuration_gptsan_japanese""": ["""GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP""", """GPTSanJapaneseConfig"""],
    """tokenization_gptsan_japanese""": ["""GPTSanJapaneseTokenizer"""],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCamelCase_     			=       [
         """GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST""",
         """GPTSanJapaneseForConditionalGeneration""",
         """GPTSanJapaneseModel""",
         """GPTSanJapanesePreTrainedModel""",
     ]
     UpperCamelCase_     			=       [
         """GPTSanJapaneseTokenizer""",
     ]


if TYPE_CHECKING:
     from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
     from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_gptsan_japanese import (
              GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
              GPTSanJapaneseForConditionalGeneration,
              GPTSanJapaneseModel,
              GPTSanJapanesePreTrainedModel,
          )
          from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
     import sys

     UpperCamelCase_     			=       _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


