



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_		:  Optional[Any]										=  {}
for task, _ in pipeline_test_mapping.items():
     A_		:  Optional[int]										=  {'''pt''': None, '''tf''': None}


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


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Optional[int]       ):






 '''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 						UpperCAmelCase__   (   UpperCAmelCase__			:Optional[int]			,       UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

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

 a							=		pipeline_test_mapping[task]['test']
 a							=		None

 if framework == "pt":
  a							=		getattr(UpperCAmelCase__			,       "model_mapping"			,       UpperCAmelCase__       )
 elif framework == "tf":
  a							=		getattr(UpperCAmelCase__			,       "tf_model_mapping"			,       UpperCAmelCase__       )

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

 # cache the results
 a							=		mapping
 return mapping


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

 a							=		get_framework(UpperCAmelCase__       )
 if framework is None:
  return None
 a							=		get_mapping_for_task(UpperCAmelCase__			,       UpperCAmelCase__       )
 if mapping is None:
  return None

 a							=		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.
 a							=		mapping.get(config_classes[0]			,       UpperCAmelCase__       )
 if isinstance(UpperCAmelCase__			,       (tuple, list)       ):
  a							=		sorted(UpperCAmelCase__			,       key=lambda UpperCAmelCase__       : x.__name__       )

 return model_class


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Union[str, Any]       ):






 '''simple docstring'''

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

 return dict(UpperCAmelCase__       )


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Dict       ):






 '''simple docstring'''

 a							=		get_framework(UpperCAmelCase__       )
 if framework == "pt":
  a							=		'torch'
 a							=		'{}'

 a							=		get_pipeline_model_mapping(UpperCAmelCase__       )
 if len(UpperCAmelCase__       ) == 0:
  return ""

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

 return text


def 						UpperCAmelCase__   (   UpperCAmelCase__			:List[Any]       ):






 '''simple docstring'''

 a							=		{'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 						UpperCAmelCase__   (   UpperCAmelCase__			:Tuple       ):






 '''simple docstring'''

 a							=		[x for x in get_test_classes(UpperCAmelCase__       ) if is_valid_test_class(UpperCAmelCase__       )]

 a							=		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:
   a							=		test_class
   break
    # Take the test class with the shortest name (just a heuristic)
 if target_test_class is None and len(UpperCAmelCase__       ) > 0:
  a							=		sorted(UpperCAmelCase__			,       key=lambda UpperCAmelCase__       : (len(x.__name__       ), x.__name__)       )[0]

 return target_test_class


def 						UpperCAmelCase__   (   UpperCAmelCase__			:str			,       UpperCAmelCase__			:Optional[int]			,       UpperCAmelCase__			:Optional[Any]       ):






 '''simple docstring'''

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

 return end_idx


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Tuple			,       UpperCAmelCase__			:Any=False       ):






 '''simple docstring'''

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

 a							=		get_pipeline_model_mapping_string(UpperCAmelCase__       )
 if len(UpperCAmelCase__       ) == 0:
  return "", -1
 a							=		line_to_add + '\n'

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

 if start_idx is None:
  return "", -1
 # Find the ending index (inclusive) of the above found block.
 a							=		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
 a							=		re.compile(r"\s(is_\S+?_available\(\))\s"       )
 for line in class_lines[start_idx : end_idx + 1]:
  a							=		r.search(UpperCAmelCase__       )
  if backend_condition is not None:
   # replace the leading and trailing whitespaces to the space character " ".
   a							=		' ' + backend_condition[0][1:-1] + ' '
   a							=		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`.
  a							=		end_idx
 else:
  # `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
  a							=		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.
   a							=		None  # noqa

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

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

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

 return line_to_add


def 						UpperCAmelCase__   (   UpperCAmelCase__			:Any			,       UpperCAmelCase__			:Optional[Any]=False       ):






 '''simple docstring'''

 a							=		find_test_class(UpperCAmelCase__       )
 if test_class:
  add_pipeline_model_mapping(UpperCAmelCase__			,       overwrite=UpperCAmelCase__       )


if __name__ == "__main__":
     A_		:  List[Any]										=  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_		:  Any										=  []
     if args.test_file:
          A_		:  List[Any]										=  [args.test_file]
     else:
          A_		:  Dict										=  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_torch_available


__A     						= {
    '''configuration_prophetnet''': ['''PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''ProphetNetConfig'''],
    '''tokenization_prophetnet''': ['''ProphetNetTokenizer'''],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __A     						= [
          '''PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''ProphetNetDecoder''',
          '''ProphetNetEncoder''',
          '''ProphetNetForCausalLM''',
          '''ProphetNetForConditionalGeneration''',
          '''ProphetNetModel''',
          '''ProphetNetPreTrainedModel''',
      ]


if TYPE_CHECKING:
      from .configuration_prophetnet import PROPHETNET_PRETRAINED_CONFIG_ARCHIVE_MAP, ProphetNetConfig
      from .tokenization_prophetnet import ProphetNetTokenizer

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_prophetnet import (
                PROPHETNET_PRETRAINED_MODEL_ARCHIVE_LIST,
                ProphetNetDecoder,
                ProphetNetEncoder,
                ProphetNetForCausalLM,
                ProphetNetForConditionalGeneration,
                ProphetNetModel,
                ProphetNetPreTrainedModel,
            )

else:
      import sys

      __A     						= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)