




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


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







def 			_UpperCamelCase (_lowerCamelCase							:     Any	)->   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 			_UpperCamelCase (_lowerCamelCase							:     int   ,	_lowerCamelCase							:     List[str]	)->   List[str]:




     '''simple docstring'''





     if PIPELINE_TEST_MAPPING[task].get(_lowerCamelCase   ,	_lowerCamelCase	) 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(_lowerCamelCase   ,	'''model_mapping'''   ,	_lowerCamelCase	)
     elif framework == "tf":
          __snake_case    					=  getattr(_lowerCamelCase   ,	'''tf_model_mapping'''   ,	_lowerCamelCase	)

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

     # cache the results
     __snake_case    					=  mapping
     return mapping







def 			_UpperCamelCase (_lowerCamelCase							:     List[Any]   ,	_lowerCamelCase							:     Union[str, Any]	)->   Dict:




     '''simple docstring'''





     __snake_case    					=  get_framework(_lowerCamelCase	)
     if framework is None:
          return None
     __snake_case    					=  get_mapping_for_task(_lowerCamelCase   ,	_lowerCamelCase	)
     if mapping is None:
          return None

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

     return model_class







def 			_UpperCamelCase (_lowerCamelCase							:     Optional[Any]	)->   Optional[int]:




     '''simple docstring'''





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

     return dict(_lowerCamelCase	)







def 			_UpperCamelCase (_lowerCamelCase							:     Any	)->   List[Any]:




     '''simple docstring'''





     __snake_case    					=  get_framework(_lowerCamelCase	)
     if framework == "pt":
          __snake_case    					=  '''torch'''
     __snake_case    					=  '''{}'''

     __snake_case    					=  get_pipeline_model_mapping(_lowerCamelCase	)
     if len(_lowerCamelCase	) == 0:
          return ""

     __snake_case    					=  []
     for task, model_classes in mapping.items():
          if isinstance(_lowerCamelCase   ,	(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(_lowerCamelCase	) + '''}'''
     __snake_case    					=  f'''pipeline_model_mapping = {text} if is_{framework}_available() else {default_value}'''

     return text







def 			_UpperCamelCase (_lowerCamelCase							:     Union[str, Any]	)->   int:




     '''simple docstring'''





     __snake_case    					=  {'''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]	)->   int:




     '''simple docstring'''





     __snake_case    					=  [x for x in get_test_classes(_lowerCamelCase	) if is_valid_test_class(_lowerCamelCase	)]

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

     return target_test_class







def 			_UpperCamelCase (_lowerCamelCase							:     Tuple   ,	_lowerCamelCase							:     int   ,	_lowerCamelCase							:     Tuple	)->   str:




     '''simple docstring'''





     __snake_case    					=  start_idx
     for idx, line in enumerate(lines[start_idx:]	):
          __snake_case    					=  len(_lowerCamelCase	) - 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 			_UpperCamelCase (_lowerCamelCase							:     Dict   ,	_lowerCamelCase							:     Union[str, Any]=False	)->   str:




     '''simple docstring'''





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

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

     # The code defined the class `test_class`
     __snake_case					,    __snake_case    					=  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 '''	):
               __snake_case    					=  class_lines[idx:]
               class_start_line_no += idx
               break
     __snake_case    					=  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`.
     __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(_lowerCamelCase	):
          if line.strip().startswith('''all_model_classes = '''	):
               __snake_case    					=  len(_lowerCamelCase	) - len(line.lstrip()	)
               __snake_case    					=  idx
          elif line.strip().startswith('''all_generative_model_classes = '''	):
               __snake_case    					=  len(_lowerCamelCase	) - len(line.lstrip()	)
               __snake_case    					=  idx
          elif line.strip().startswith('''pipeline_model_mapping = '''	):
               __snake_case    					=  len(_lowerCamelCase	) - 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(_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
     __snake_case    					=  re.compile(R'''\s(is_\S+?_available\(\))\s'''	)
     for line in class_lines[start_idx : end_idx + 1]:
          __snake_case    					=  r.search(_lowerCamelCase	)
          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(_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`.
          __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(_lowerCamelCase   ,	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(_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	):
                         __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(_lowerCamelCase	)	)[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(_lowerCamelCase	)

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

     return line_to_add







def 			_UpperCamelCase (_lowerCamelCase							:     Dict   ,	_lowerCamelCase							:     Any=False	)->   Optional[Any]:




     '''simple docstring'''





     __snake_case    					=  find_test_class(_lowerCamelCase	)
     if test_class:
          add_pipeline_model_mapping(_lowerCamelCase   ,	overwrite=_lowerCamelCase	)


if __name__ == "__main__":
     UpperCAmelCase_       :  Union[str, 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`.''',
     )
     UpperCAmelCase_       :  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.''')

     UpperCAmelCase_       :  Optional[Any]      =		[]
     if args.test_file:
          UpperCAmelCase_       :  List[Any]      =		[args.test_file]
     else:
          UpperCAmelCase_       :  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'''



from typing import Any

import numpy as np







def 			_UpperCamelCase (_lowerCamelCase							:     np.ndarray	)->   bool:




     '''simple docstring'''





     assert np.shape(_lowerCamelCase	)[0] == np.shape(_lowerCamelCase	)[1]

     # If matrix not symmetric, exit right away.
     if np.allclose(_lowerCamelCase   ,	matrix.T	) is False:
          return False

     # Get eigenvalues and eignevectors for a symmetric matrix.
     __snake_case					,    __snake_case    					=  np.linalg.eigh(_lowerCamelCase	)

     # Check sign of all eigenvalues.
     # np.all returns a value of type np.bool_
     return bool(np.all(eigen_values > 0	)	)







def 			_UpperCamelCase (_lowerCamelCase							:     int	)->   Any:




     '''simple docstring'''





     __snake_case    					=  np.random.randn(_lowerCamelCase   ,	_lowerCamelCase	)
     __snake_case    					=  np.dot(_lowerCamelCase   ,	random_matrix.T	)
     assert _is_matrix_spd(_lowerCamelCase	)
     return spd_matrix







def 			_UpperCamelCase (_lowerCamelCase							:     np.ndarray   ,	_lowerCamelCase							:     np.ndarray   ,	_lowerCamelCase							:     int = 10_00   ,	_lowerCamelCase							:     float = 1E-8   ,	)->   Any:




     '''simple docstring'''





     assert np.shape(_lowerCamelCase	)[0] == np.shape(_lowerCamelCase	)[1]
     assert np.shape(_lowerCamelCase	)[0] == np.shape(_lowerCamelCase	)[0]
     assert _is_matrix_spd(_lowerCamelCase	)

     # Initialize solution guess, residual, search direction.
     __snake_case    					=  np.zeros((np.shape(_lowerCamelCase	)[0], 1)	)
     __snake_case    					=  np.copy(_lowerCamelCase	)
     __snake_case    					=  np.copy(_lowerCamelCase	)

     # Set initial errors in solution guess and residual.
     __snake_case    					=  1E9
     __snake_case    					=  1E9
     __snake_case    					=  1E9

     # Set iteration counter to threshold number of iterations.
     __snake_case    					=  0

     while error > tol:
          # Save this value so we only calculate the matrix-vector product once.
          __snake_case    					=  np.dot(_lowerCamelCase   ,	_lowerCamelCase	)

          # The main algorithm.

          # Update search direction magnitude.
          __snake_case    					=  np.dot(ra.T   ,	_lowerCamelCase	) / np.dot(pa.T   ,	_lowerCamelCase	)
          # Update solution guess.
          __snake_case    					=  xa + alpha * pa
          # Calculate new residual.
          __snake_case    					=  ra - alpha * w
          # Calculate new Krylov subspace scale.
          __snake_case    					=  np.dot(r.T   ,	_lowerCamelCase	) / np.dot(ra.T   ,	_lowerCamelCase	)
          # Calculate new A conjuage search direction.
          __snake_case    					=  r + beta * pa

          # Calculate errors.
          __snake_case    					=  np.linalg.norm(r - ra	)
          __snake_case    					=  np.linalg.norm(x - xa	)
          __snake_case    					=  np.maximum(_lowerCamelCase   ,	_lowerCamelCase	)

          # Update variables.
          __snake_case    					=  np.copy(_lowerCamelCase	)
          __snake_case    					=  np.copy(_lowerCamelCase	)
          __snake_case    					=  np.copy(_lowerCamelCase	)

          # Update number of iterations.
          iterations += 1
          if iterations > max_iterations:
               break

     return x







def 			_UpperCamelCase ()->   None:




     '''simple docstring'''





     __snake_case    					=  3
     __snake_case    					=  _create_spd_matrix(_lowerCamelCase	)
     __snake_case    					=  np.random.randn(_lowerCamelCase   ,	1	)
     __snake_case    					=  np.dot(_lowerCamelCase   ,	_lowerCamelCase	)

     # Numpy solution.
     __snake_case    					=  np.linalg.solve(_lowerCamelCase   ,	_lowerCamelCase	)

     # Our implementation.
     __snake_case    					=  conjugate_gradient(_lowerCamelCase   ,	_lowerCamelCase	)

     # Ensure both solutions are close to x_true (and therefore one another).
     assert np.linalg.norm(x_numpy - x_true	) <= 1E-6
     assert np.linalg.norm(x_conjugate_gradient - x_true	) <= 1E-6


if __name__ == "__main__":
     import doctest

     doctest.testmod()
     test_conjugate_gradient()






