


'''simple docstring'''



import collections
import importlib.util
import os
import re
from pathlib import Path


__UpperCAmelCase    :str				       =     "src/transformers"


# Matches is_xxx_available()
__UpperCAmelCase    :Any				       =     re.compile(r"is\_([a-z_]*)_available()")
# Catches a one-line _import_struct = {xxx}
__UpperCAmelCase    :str				       =     re.compile(r"^_import_structure\s+=\s+\{([^\}]+)\}")
# Catches a line with a key-values pattern: "bla": ["foo", "bar"]
__UpperCAmelCase    :int				       =     re.compile(r"\s+\"\S*\":\s+\[([^\]]*)\]")
# Catches a line if not is_foo_available
__UpperCAmelCase    :Dict				       =     re.compile(r"^\s*if\s+not\s+is\_[a-z_]*\_available\(\)")
# Catches a line _import_struct["bla"].append("foo")
__UpperCAmelCase    :Optional[Any]				       =     re.compile(r"^\s*_import_structure\[\"\S*\"\]\.append\(\"(\S*)\"\)")
# Catches a line _import_struct["bla"].extend(["foo", "bar"]) or _import_struct["bla"] = ["foo", "bar"]
__UpperCAmelCase    :Any				       =     re.compile(r"^\s*_import_structure\[\S*\](?:\.extend\(|\s*=\s+)\[([^\]]*)\]")
# Catches a line with an object between quotes and a comma:     "MyModel",
__UpperCAmelCase    :List[str]				       =     re.compile("^\s+\"([^\"]+)\",")
# Catches a line with objects between brackets only:    ["foo", "bar"],
__UpperCAmelCase    :Optional[Any]				       =     re.compile("^\s+\[([^\]]+)\]")
# Catches a line with from foo import bar, bla, boo
__UpperCAmelCase    :Union[str, Any]				       =     re.compile(r"\s+from\s+\S*\s+import\s+([^\(\s].*)\n")
# Catches a line with try:
__UpperCAmelCase    :str				       =     re.compile(r"^\s*try:")
# Catches a line with else:
__UpperCAmelCase    :str				       =     re.compile(r"^\s*else:")




def 			_a			(		_lowercase      :			Union[str, Any]						):





     '''simple docstring'''






     if _re_test_backend.search(_lowercase						) is None:
          return None
     __UpperCAmelCase			:				Optional[int]													=    [b[0] for b in _re_backend.findall(_lowercase						)]
     backends.sort()
     return "_and_".join(_lowercase						)




def 			_a			(		_lowercase      :			List[str]						):





     '''simple docstring'''






     with open(_lowercase    ,      '''r'''    ,      encoding='''utf-8'''    ,      newline='''\n'''						) as f:
          __UpperCAmelCase			:				Tuple													=    f.readlines()

     __UpperCAmelCase			:				Optional[int]													=    0
     while line_index < len(_lowercase						) and not lines[line_index].startswith('''_import_structure = {'''						):
          line_index += 1

     # If this is a traditional init, just return.
     if line_index >= len(_lowercase						):
          return None

     # First grab the objects without a specific backend in _import_structure
     __UpperCAmelCase			:				Optional[Any]													=    []
     while not lines[line_index].startswith('''if TYPE_CHECKING'''						) and find_backend(lines[line_index]						) is None:
          __UpperCAmelCase			:				str													=    lines[line_index]
          # If we have everything on a single line, let's deal with it.
          if _re_one_line_import_struct.search(_lowercase						):
               __UpperCAmelCase			:				int													=    _re_one_line_import_struct.search(_lowercase						).groups()[0]
               __UpperCAmelCase			:				Any													=    re.findall('''\[([^\]]+)\]'''    ,      _lowercase						)
               for imp in imports:
                    objects.extend([obj[1:-1] for obj in imp.split(''', '''						)]						)
               line_index += 1
               continue
          __UpperCAmelCase			:				int													=    _re_import_struct_key_value.search(_lowercase						)
          if single_line_import_search is not None:
               __UpperCAmelCase			:				Optional[int]													=    [obj[1:-1] for obj in single_line_import_search.groups()[0].split(''', '''						) if len(_lowercase						) > 0]
               objects.extend(_lowercase						)
          elif line.startswith(''' ''' * 8 + '''"'''						):
               objects.append(line[9:-3]						)
          line_index += 1

     __UpperCAmelCase			:				Optional[int]													=    {'''none''': objects}
     # Let's continue with backend-specific objects in _import_structure
     while not lines[line_index].startswith('''if TYPE_CHECKING'''						):
          # If the line is an if not is_backend_available, we grab all objects associated.
          __UpperCAmelCase			:				List[str]													=    find_backend(lines[line_index]						)
          # Check if the backend declaration is inside a try block:
          if _re_try.search(lines[line_index - 1]						) is None:
               __UpperCAmelCase			:				Tuple													=    None

          if backend is not None:
               line_index += 1

               # Scroll until we hit the else block of try-except-else
               while _re_else.search(lines[line_index]						) is None:
                    line_index += 1

               line_index += 1

               __UpperCAmelCase			:				List[str]													=    []
               # Until we unindent, add backend objects to the list
               while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 4						):
                    __UpperCAmelCase			:				int													=    lines[line_index]
                    if _re_import_struct_add_one.search(_lowercase						) is not None:
                         objects.append(_re_import_struct_add_one.search(_lowercase						).groups()[0]						)
                    elif _re_import_struct_add_many.search(_lowercase						) is not None:
                         __UpperCAmelCase			:				Optional[int]													=    _re_import_struct_add_many.search(_lowercase						).groups()[0].split(''', '''						)
                         __UpperCAmelCase			:				int													=    [obj[1:-1] for obj in imports if len(_lowercase						) > 0]
                         objects.extend(_lowercase						)
                    elif _re_between_brackets.search(_lowercase						) is not None:
                         __UpperCAmelCase			:				Optional[Any]													=    _re_between_brackets.search(_lowercase						).groups()[0].split(''', '''						)
                         __UpperCAmelCase			:				List[Any]													=    [obj[1:-1] for obj in imports if len(_lowercase						) > 0]
                         objects.extend(_lowercase						)
                    elif _re_quote_object.search(_lowercase						) is not None:
                         objects.append(_re_quote_object.search(_lowercase						).groups()[0]						)
                    elif line.startswith(''' ''' * 8 + '''"'''						):
                         objects.append(line[9:-3]						)
                    elif line.startswith(''' ''' * 12 + '''"'''						):
                         objects.append(line[13:-3]						)
                    line_index += 1

               __UpperCAmelCase			:				Dict													=    objects
          else:
               line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
     __UpperCAmelCase			:				List[str]													=    []
     while (
         line_index < len(_lowercase						)
         and find_backend(lines[line_index]						) is None
         and not lines[line_index].startswith('''else'''						)
     ):
          __UpperCAmelCase			:				Any													=    lines[line_index]
          __UpperCAmelCase			:				List[Any]													=    _re_import.search(_lowercase						)
          if single_line_import_search is not None:
               objects.extend(single_line_import_search.groups()[0].split(''', '''						)						)
          elif line.startswith(''' ''' * 8						):
               objects.append(line[8:-2]						)
          line_index += 1

     __UpperCAmelCase			:				int													=    {'''none''': objects}
     # Let's continue with backend-specific objects
     while line_index < len(_lowercase						):
          # If the line is an if is_backend_available, we grab all objects associated.
          __UpperCAmelCase			:				List[str]													=    find_backend(lines[line_index]						)
          # Check if the backend declaration is inside a try block:
          if _re_try.search(lines[line_index - 1]						) is None:
               __UpperCAmelCase			:				List[Any]													=    None

          if backend is not None:
               line_index += 1

               # Scroll until we hit the else block of try-except-else
               while _re_else.search(lines[line_index]						) is None:
                    line_index += 1

               line_index += 1

               __UpperCAmelCase			:				Tuple													=    []
               # Until we unindent, add backend objects to the list
               while len(lines[line_index]						) <= 1 or lines[line_index].startswith(''' ''' * 8						):
                    __UpperCAmelCase			:				List[Any]													=    lines[line_index]
                    __UpperCAmelCase			:				Optional[Any]													=    _re_import.search(_lowercase						)
                    if single_line_import_search is not None:
                         objects.extend(single_line_import_search.groups()[0].split(''', '''						)						)
                    elif line.startswith(''' ''' * 12						):
                         objects.append(line[12:-2]						)
                    line_index += 1

               __UpperCAmelCase			:				Tuple													=    objects
          else:
               line_index += 1

     return import_dict_objects, type_hint_objects




def 			_a			(		_lowercase      :			Union[str, Any]    ,      _lowercase      :			Union[str, Any]						):





     '''simple docstring'''






     def find_duplicates(_lowercase      :			Tuple						):
          return [k for k, v in collections.Counter(_lowercase						).items() if v > 1]

     if list(import_dict_objects.keys()						) != list(type_hint_objects.keys()						):
          return ["Both sides of the init do not have the same backends!"]

     __UpperCAmelCase			:				Any													=    []
     for key in import_dict_objects.keys():
          __UpperCAmelCase			:				str													=    find_duplicates(import_dict_objects[key]						)
          if duplicate_imports:
               errors.append(F'Duplicate _import_structure definitions for: {duplicate_imports}'						)
          __UpperCAmelCase			:				int													=    find_duplicates(type_hint_objects[key]						)
          if duplicate_type_hints:
               errors.append(F'Duplicate TYPE_CHECKING objects for: {duplicate_type_hints}'						)

          if sorted(set(import_dict_objects[key]						)						) != sorted(set(type_hint_objects[key]						)						):
               __UpperCAmelCase			:				Dict													=    '''base imports''' if key == '''none''' else F'{key} backend'
               errors.append(F'Differences for {name}:'						)
               for a in type_hint_objects[key]:
                    if a not in import_dict_objects[key]:
                         errors.append(F'  {a} in TYPE_HINT but not in _import_structure.'						)
               for a in import_dict_objects[key]:
                    if a not in type_hint_objects[key]:
                         errors.append(F'  {a} in _import_structure but not in TYPE_HINT.'						)
     return errors




def 			_a			(		):





     '''simple docstring'''






     __UpperCAmelCase			:				List[str]													=    []
     for root, _, files in os.walk(_lowercase						):
          if "__init__.py" in files:
               __UpperCAmelCase			:				Any													=    os.path.join(_lowercase    ,      '''__init__.py'''						)
               __UpperCAmelCase			:				List[Any]													=    parse_init(_lowercase						)
               if objects is not None:
                    __UpperCAmelCase			:				Optional[int]													=    analyze_results(*_lowercase						)
                    if len(_lowercase						) > 0:
                         __UpperCAmelCase			:				int													=    F'Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'
                         failures.append('''\n'''.join(_lowercase						)						)
     if len(_lowercase						) > 0:
          raise ValueError('''\n\n'''.join(_lowercase						)						)




def 			_a			(		):





     '''simple docstring'''






     __UpperCAmelCase			:				Union[str, Any]													=    []
     for path, directories, files in os.walk(_lowercase						):
          for folder in directories:
               # Ignore private modules
               if folder.startswith('''_'''						):
                    directories.remove(_lowercase						)
                    continue
               # Ignore leftovers from branches (empty folders apart from pycache)
               if len(list((Path(_lowercase						) / folder).glob('''*.py'''						)						)						) == 0:
                    continue
               __UpperCAmelCase			:				int													=    str((Path(_lowercase						) / folder).relative_to(_lowercase						)						)
               __UpperCAmelCase			:				Optional[Any]													=    short_path.replace(os.path.sep    ,      '''.'''						)
               submodules.append(_lowercase						)
          for fname in files:
               if fname == "__init__.py":
                    continue
               __UpperCAmelCase			:				int													=    str((Path(_lowercase						) / fname).relative_to(_lowercase						)						)
               __UpperCAmelCase			:				Union[str, Any]													=    short_path.replace('''.py'''    ,      ''''''						).replace(os.path.sep    ,      '''.'''						)
               if len(submodule.split('''.'''						)						) == 1:
                    submodules.append(_lowercase						)
     return submodules


__UpperCAmelCase    :Optional[int]				       =     [
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]




def 			_a			(		):





     '''simple docstring'''






     __UpperCAmelCase			:				int													=    importlib.util.spec_from_file_location(
         '''transformers'''    ,      os.path.join(_lowercase    ,      '''__init__.py'''						)    ,      submodule_search_locations=[PATH_TO_TRANSFORMERS]    ,      )
     __UpperCAmelCase			:				Optional[int]													=    spec.loader.load_module()

     __UpperCAmelCase			:				Dict													=    [
         module
         for module in get_transformers_submodules()
         if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
     ]
     if len(_lowercase						) > 0:
          __UpperCAmelCase			:				Any													=    '''\n'''.join(F'- {module}' for module in module_not_registered						)
          raise ValueError(
              '''The following submodules are not properly registered in the main init of Transformers:\n'''
              F'{list_of_modules}\n'
              '''Make sure they appear somewhere in the keys of `_import_structure` with an empty list as value.'''						)


if __name__ == "__main__":
      check_all_inits()
      check_submodules()



'''simple docstring'''



from scipy.stats import pearsonr

import datasets


__UpperCAmelCase    :Tuple				       =     "\nPearson correlation coefficient and p-value for testing non-correlation.\nThe Pearson correlation coefficient measures the linear relationship between two datasets. The calculation of the p-value relies on the assumption that each dataset is normally distributed. Like other correlation coefficients, this one varies between -1 and +1 with 0 implying no correlation. Correlations of -1 or +1 imply an exact linear relationship. Positive correlations imply that as x increases, so does y. Negative correlations imply that as x increases, y decreases.\nThe p-value roughly indicates the probability of an uncorrelated system producing datasets that have a Pearson correlation at least as extreme as the one computed from these datasets.\n"


__UpperCAmelCase    :List[str]				       =     "\nArgs:\n    predictions (`list` of `int`): Predicted class labels, as returned by a model.\n    references (`list` of `int`): Ground truth labels.\n    return_pvalue (`boolean`): If `True`, returns the p-value, along with the correlation coefficient. If `False`, returns only the correlation coefficient. Defaults to `False`.\n\nReturns:\n    pearsonr (`float`): Pearson correlation coefficient. Minimum possible value is -1. Maximum possible value is 1. Values of 1 and -1 indicate exact linear positive and negative relationships, respectively. A value of 0 implies no correlation.\n    p-value (`float`): P-value, which roughly indicates the probability of an The p-value roughly indicates the probability of an uncorrelated system producing datasets that have a Pearson correlation at least as extreme as the one computed from these datasets. Minimum possible value is 0. Maximum possible value is 1. Higher values indicate higher probabilities.\n\nExamples:\n\n    Example 1-A simple example using only predictions and references.\n        >>> pearsonr_metric = datasets.load_metric(\"pearsonr\")\n        >>> results = pearsonr_metric.compute(predictions=[10, 9, 2.5, 6, 4], references=[1, 2, 3, 4, 5])\n        >>> print(round(results['pearsonr'], 2))\n        -0.74\n\n    Example 2-The same as Example 1, but that also returns the `p-value`.\n        >>> pearsonr_metric = datasets.load_metric(\"pearsonr\")\n        >>> results = pearsonr_metric.compute(predictions=[10, 9, 2.5, 6, 4], references=[1, 2, 3, 4, 5], return_pvalue=True)\n        >>> print(sorted(list(results.keys())))\n        ['p-value', 'pearsonr']\n        >>> print(round(results['pearsonr'], 2))\n        -0.74\n        >>> print(round(results['p-value'], 2))\n        0.15\n"


__UpperCAmelCase    :List[Any]				       =     "\n@article{2020SciPy-NMeth,\nauthor  = {Virtanen, Pauli and Gommers, Ralf and Oliphant, Travis E. and\n      Haberland, Matt and Reddy, Tyler and Cournapeau, David and\n      Burovski, Evgeni and Peterson, Pearu and Weckesser, Warren and\n      Bright, Jonathan and {van der Walt}, St{\'e}fan J. and\n      Brett, Matthew and Wilson, Joshua and Millman, K. Jarrod and\n      Mayorov, Nikolay and Nelson, Andrew R. J. and Jones, Eric and\n      Kern, Robert and Larson, Eric and Carey, C J and\n      Polat, Ilhan and Feng, Yu and Moore, Eric W. and\n      {VanderPlas}, Jake and Laxalde, Denis and Perktold, Josef and\n      Cimrman, Robert and Henriksen, Ian and Quintero, E. A. and\n      Harris, Charles R. and Archibald, Anne M. and\n      Ribeiro, Antonio H. and Pedregosa, Fabian and\n      {van Mulbregt}, Paul and {SciPy 1.0 Contributors}},\ntitle   = {{{SciPy} 1.0: Fundamental Algorithms for Scientific\n      Computing in Python}},\njournal = {Nature Methods},\nyear    = {2020},\nvolume  = {17},\npages   = {261--272},\nadsurl  = {https://rdcu.be/b08Wh},\ndoi = {10.1038/s41592-019-0686-2},\n}\n"



@datasets.utils.file_utils.add_start_docstrings(_DESCRIPTION			,						_KWARGS_DESCRIPTION )
class 			a       (	datasets.Metric ):


     """simple docstring"""






     def 				lowerCamelCase__				(       self  :	List[Any]    )		->							Union[str, Any]:
          return datasets.MetricInfo(
              description=_DESCRIPTION							,				citation=_CITATION							,				inputs_description=_KWARGS_DESCRIPTION							,				features=datasets.Features(
                  {
                      '''predictions''': datasets.Value('''float'''    ),
                      '''references''': datasets.Value('''float'''    ),
                  }    )							,				reference_urls=['''https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html''']							,				)






     def 				lowerCamelCase__				(       self  :	Any							,				snake_case  :	Union[str, Any]							,				snake_case  :	int							,				snake_case  :	Dict=False    )		->							List[Any]:
          if return_pvalue:
               __UpperCAmelCase			:				Tuple													=    pearsonr(snake_case							,				snake_case    )
               return {"pearsonr": results[0], "p-value": results[1]}
          else:
               return {"pearsonr": float(pearsonr(snake_case							,				snake_case    )[0]    )}