





"""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


lowerCamelCase_					:						List[str]      = {}
for task, _ in pipeline_test_mapping.items():
   lowerCamelCase_					:						List[Any]      = {'pt': None, 'tf': None}


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





def 						UpperCAmelCase__		(					_UpperCAmelCase ):






  """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			, _UpperCAmelCase ):






  """simple docstring"""





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

  A_  :	Tuple    						=  pipeline_test_mapping[task]['test']
  A_  :	Optional[Any]    						=  None

  if framework == "pt":
    A_  :	Dict    						=  getattr(_UpperCAmelCase			, 'model_mapping'			, _UpperCAmelCase )
  elif framework == "tf":
    A_  :	List[Any]    						=  getattr(_UpperCAmelCase			, 'tf_model_mapping'			, _UpperCAmelCase )

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

  # cache the results
  A_  :	Optional[int]    						=  mapping
  return mapping





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  A_  :	Tuple    						=  get_framework(_UpperCAmelCase )
  if framework is None:
    return None
  A_  :	str    						=  get_mapping_for_task(_UpperCAmelCase			, _UpperCAmelCase )
  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(_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_  :	int    						=  mapping.get(config_classes[0]			, _UpperCAmelCase )
  if isinstance(_UpperCAmelCase			, (tuple, list) ):
    A_  :	str    						=  sorted(_UpperCAmelCase			, key=lambda _UpperCAmelCase : x.__name__ )

  return model_class





def 						UpperCAmelCase__		(					_UpperCAmelCase ):






  """simple docstring"""





  A_  :	int    						=  [(task, get_model_for_pipeline_test(_UpperCAmelCase			, _UpperCAmelCase )) for task in pipeline_test_mapping]
  A_  :	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 						UpperCAmelCase__		(					_UpperCAmelCase ):






  """simple docstring"""





  A_  :	Optional[Any]    						=  get_framework(_UpperCAmelCase )
  if framework == "pt":
    A_  :	List[Any]    						=  'torch'
  A_  :	str    						=  '{}'

  A_  :	str    						=  get_pipeline_model_mapping(_UpperCAmelCase )
  if len(_UpperCAmelCase ) == 0:
    return ""

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

  return text





def 						UpperCAmelCase__		(					_UpperCAmelCase ):






  """simple docstring"""





  A_  :	Tuple    						=  {'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 ):






  """simple docstring"""





  A_  :	Dict    						=  [x for x in get_test_classes(_UpperCAmelCase ) if is_valid_test_class(_UpperCAmelCase )]

  A_  :	Dict    						=  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_  :	Optional[Any]    						=  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_  :	List[str]    						=  sorted(_UpperCAmelCase			, key=lambda _UpperCAmelCase : (len(x.__name__ ), x.__name__) )[0]

  return target_test_class





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase ):






  """simple docstring"""





  A_  :	str    						=  start_idx
  for idx, line in enumerate(lines[start_idx:] ):
    A_  :	Any    						=  len(_UpperCAmelCase ) - len(line.lstrip() )
    if idx == 0 or indent > indent_level or (indent == indent_level and line.strip() == ")"):
      A_  :	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__		(					_UpperCAmelCase			, _UpperCAmelCase=False ):






  """simple docstring"""





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

  A_  :	Optional[int]    						=  get_pipeline_model_mapping_string(_UpperCAmelCase )
  if len(_UpperCAmelCase ) == 0:
    return "", -1
  A_  :	Any    						=  line_to_add + '\n'

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

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

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

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

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

  return line_to_add





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase=False ):






  """simple docstring"""





  A_  :	Union[str, Any]    						=  find_test_class(_UpperCAmelCase )
  if test_class:
    add_pipeline_model_mapping(_UpperCAmelCase			, overwrite=_UpperCAmelCase )


if __name__ == "__main__":
   lowerCamelCase_					:						Optional[int]      = 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`.',
   )
   lowerCamelCase_					:						Optional[int]      = 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.')

   lowerCamelCase_					:						Tuple      = []
   if args.test_file:
      lowerCamelCase_					:						List[str]      = [args.test_file]
   else:
      lowerCamelCase_					:						Optional[int]      = 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 math as m





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase			, _UpperCAmelCase=0.001 ):






  """simple docstring"""





  return (f(a + h ) - f(a - h )) / (2 * h)





def 						UpperCAmelCase__		(					_UpperCAmelCase			, _UpperCAmelCase=0			, _UpperCAmelCase=100			, _UpperCAmelCase=0.0_001			, _UpperCAmelCase=1E-6			, _UpperCAmelCase=False ):






  """simple docstring"""





  A_  :	Optional[int]    						=  xa  # set the initial guess
  A_  :	Any    						=  [a]
  A_  :	str    						=  abs(f(_UpperCAmelCase ) )
  A_  :	str    						=  lambda _UpperCAmelCase : calc_derivative(_UpperCAmelCase			, _UpperCAmelCase			, h=_UpperCAmelCase )  # noqa: E731  Derivative of f(x)
  for _ in range(_UpperCAmelCase ):
    if fa(_UpperCAmelCase ) == 0:
      raise ValueError('No converging solution found' )
    A_  :	Union[str, Any]    						=  a - f(_UpperCAmelCase ) / fa(_UpperCAmelCase )  # Calculate the next estimate
    if logsteps:
      steps.append(_UpperCAmelCase )
    if error < maxerror:
      break
  else:
    raise ValueError('Iteration limit reached, no converging solution found' )
  if logsteps:
    # If logstep is true, then log intermediate steps
    return a, error, steps
  return a, error


if __name__ == "__main__":
   from matplotlib import pyplot as plt

   lowerCamelCase_					:						str      = lambda x: m.tanh(x) ** 2 - m.exp(3 * x)  # noqa: E731
   lowerCamelCase_ , lowerCamelCase_ , lowerCamelCase_					:						int      = newton_raphson(
       f, xa=10, maxiter=10_00, step=1E-6, logsteps=True
   )
   plt.plot([abs(f(x)) for x in steps])
   plt.xlabel('step')
   plt.ylabel('error')
   plt.show()
   print(F"solution = {{{solution:f}}}, error = {{{error:f}}}")