





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


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




def       A							(      _UpperCAmelCase   :				Dict					)  ->				Tuple:


  '''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   :				Optional[Any]						,_UpperCAmelCase   :				Any					)  ->				Optional[Any]:


  '''simple docstring'''




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

  __lowerCAmelCase		:    Any			     =  pipeline_test_mapping[task]['test']
  __lowerCAmelCase		:    List[Any]			     =  None

  if framework == "pt":
    __lowerCAmelCase		:    List[str]			     =  getattr(UpperCamelCase_						,'model_mapping'						,UpperCamelCase_					)
  elif framework == "tf":
    __lowerCAmelCase		:    Any			     =  getattr(UpperCamelCase_						,'tf_model_mapping'						,UpperCamelCase_					)

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

  # cache the results
  __lowerCAmelCase		:    List[str]			     =  mapping
  return mapping




def       A							(      _UpperCAmelCase   :				Union[str, Any]						,_UpperCAmelCase   :				Optional[Any]					)  ->				Tuple:


  '''simple docstring'''




  __lowerCAmelCase		:    Optional[int]			     =  get_framework(UpperCamelCase_					)
  if framework is None:
    return None
  __lowerCAmelCase		:    int			     =  get_mapping_for_task(UpperCamelCase_						,UpperCamelCase_					)
  if mapping is None:
    return None

  __lowerCAmelCase		:    Optional[Any]			     =  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.
  __lowerCAmelCase		:    Dict			     =  mapping.get(config_classes[0]						,UpperCamelCase_					)
  if isinstance(UpperCamelCase_						,(tuple, list)					):
    __lowerCAmelCase		:    Dict			     =  sorted(UpperCamelCase_						,key=lambda _UpperCAmelCase					: x.__name__					)

  return model_class




def       A							(      _UpperCAmelCase   :				int					)  ->				int:


  '''simple docstring'''




  __lowerCAmelCase		:    Tuple			     =  [(task, get_model_for_pipeline_test(UpperCamelCase_						,UpperCamelCase_					)) for task in pipeline_test_mapping]
  __lowerCAmelCase		:    Union[str, Any]			     =  sorted([(task, model) for task, model in mapping if model is not None]						,key=lambda _UpperCAmelCase					: x[0]					)

  return dict(UpperCamelCase_					)




def       A							(      _UpperCAmelCase   :				Tuple					)  ->				Tuple:


  '''simple docstring'''




  __lowerCAmelCase		:    Tuple			     =  get_framework(UpperCamelCase_					)
  if framework == "pt":
    __lowerCAmelCase		:    Optional[int]			     =  'torch'
  __lowerCAmelCase		:    Tuple			     =  '{}'

  __lowerCAmelCase		:    int			     =  get_pipeline_model_mapping(UpperCamelCase_					)
  if len(UpperCamelCase_					) == 0:
    return ""

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

  return text




def       A							(      _UpperCAmelCase   :				Tuple					)  ->				str:


  '''simple docstring'''




  __lowerCAmelCase		:    List[str]			     =  {'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   :				List[str]					)  ->				Dict:


  '''simple docstring'''




  __lowerCAmelCase		:    Union[str, Any]			     =  [x for x in get_test_classes(UpperCamelCase_					) if is_valid_test_class(UpperCamelCase_					)]

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

  return target_test_class




def       A							(      _UpperCAmelCase   :				Dict						,_UpperCAmelCase   :				Optional[int]						,_UpperCAmelCase   :				List[Any]					)  ->				List[str]:


  '''simple docstring'''




  __lowerCAmelCase		:    List[str]			     =  start_idx
  for idx, line in enumerate(lines[start_idx:]					):
    __lowerCAmelCase		:    List[str]			     =  len(UpperCamelCase_					) - len(line.lstrip()					)
    if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
      __lowerCAmelCase		:    Union[str, Any]			     =  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   :				int						,_UpperCAmelCase   :				Dict=False					)  ->				Optional[Any]:


  '''simple docstring'''




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

  __lowerCAmelCase		:    Any			     =  get_pipeline_model_mapping_string(UpperCamelCase_					)
  if len(UpperCamelCase_					) == 0:
    return "", -1
  __lowerCAmelCase		:    Any			     =  line_to_add + '\n'

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

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

    # Make sure the test class is a subclass of `PipelineTesterMixin`.
  __lowerCAmelCase		:    Tuple			     =  [x.__name__ for x in test_class.__bases__]
  if "PipelineTesterMixin" not in parent_classes:
    # Put `PipelineTesterMixin` just before `unittest.TestCase`
    __lowerCAmelCase		:    Optional[Any]			     =  [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		:    Tuple			     =  ', '.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					):
          __lowerCAmelCase		:    Any			     =  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		:    Any			     =  ' ' * indent_level + line_to_add
  # Insert `pipeline_model_mapping` to `class_lines`.
  # (The line at `target_idx` should be kept by definition!)
  __lowerCAmelCase		:    List[str]			     =  class_lines[: target_idx + 1] + [line_to_add] + class_lines[target_idx + 1 :]
  # Remove the lines that are marked to be removed
  __lowerCAmelCase		:    Optional[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)
  __lowerCAmelCase		:    List[str]			     =  inspect.getsourcelines(inspect.getmodule(UpperCamelCase_					)					)[0]
  # Be careful with the 1-off between line numbers and array indices
  __lowerCAmelCase		:    List[Any]			     =  module_lines[: class_start_line_no - 1] + class_lines + module_lines[class_end_line_no:]
  __lowerCAmelCase		:    int			     =  ''.join(UpperCamelCase_					)

  __lowerCAmelCase		:    Optional[Any]			     =  inspect.getsourcefile(UpperCamelCase_					)
  with open(UpperCamelCase_						,'w'						,encoding='UTF-8'						,newline='\n'					) as fp:
    fp.write(UpperCamelCase_					)

  return line_to_add




def       A							(      _UpperCAmelCase   :				List[str]						,_UpperCAmelCase   :				Optional[Any]=False					)  ->				Tuple:


  '''simple docstring'''




  __lowerCAmelCase		:    Union[str, Any]			     =  find_test_class(UpperCamelCase_					)
  if test_class:
    add_pipeline_model_mapping(UpperCamelCase_						,overwrite=UpperCamelCase_					)


if __name__ == "__main__":
    A_				     =							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_				     =							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_				     =							[]
    if args.test_file:
        A_				     =							[args.test_file]
    else:
        A_				     =							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"""





def     _A    (    UpperCamelCase_	:			int,     UpperCamelCase_	:			int = 1000)      ->		str:
   '''simple docstring'''


   if (not isinstance(UpperCamelCase_,     UpperCamelCase_)) or (digit_position <= 0):
      raise ValueError("Digit position must be a positive integer")
   elif (not isinstance(UpperCamelCase_,     UpperCamelCase_)) or (precision < 0):
      raise ValueError("Precision must be a nonnegative integer")

   # compute an approximation of (16 ** (n - 1)) * pi whose fractional part is mostly
   # accurate
   __lowercase								=		(
       4 * _subsum(UpperCamelCase_,     1,     UpperCamelCase_)
       - 2 * _subsum(UpperCamelCase_,     4,     UpperCamelCase_)
       - _subsum(UpperCamelCase_,     5,     UpperCamelCase_)
       - _subsum(UpperCamelCase_,     6,     UpperCamelCase_)
   )

   # return the first hex digit of the fractional part of the result
   return hex(int((sum_result % 1) * 16))[2:]




def     _A    (    UpperCamelCase_	:			int,     UpperCamelCase_	:			int,     UpperCamelCase_	:			int)      ->		float:
   '''simple docstring'''


   __lowercase								=		0.0
   for sum_index in range(digit_pos_to_extract + precision):
      __lowercase								=		8 * sum_index + denominator_addend
      if sum_index < digit_pos_to_extract:
         # if the exponential term is an integer and we mod it by the denominator
         # before dividing, only the integer part of the sum will change;
         # the fractional part will not
         __lowercase								=		pow(
             16,     digit_pos_to_extract - 1 - sum_index,     UpperCamelCase_)
      else:
         __lowercase								=		pow(16,     digit_pos_to_extract - 1 - sum_index)
      total += exponential_term / denominator
   return total


if __name__ == "__main__":
   import doctest

   doctest.testmod()




