





"""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 	__lowercase  (     snake_case_						:						Optional[int]		)     ->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 	__lowercase  (     snake_case_						:						Any       ,snake_case_						:						str		)     ->Tuple:



    '''simple docstring'''







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

    __A					:		Tuple						=  pipeline_test_mapping[task]['''test''']
    __A					:		int						=  None

    if framework == "pt":
        __A					:		Union[str, Any]						=  getattr(snake_case_       ,'''model_mapping'''       ,snake_case_		)
    elif framework == "tf":
        __A					:		int						=  getattr(snake_case_       ,'''tf_model_mapping'''       ,snake_case_		)

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

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







def 	__lowercase  (     snake_case_						:						str       ,snake_case_						:						str		)     ->Optional[int]:



    '''simple docstring'''







    __A					:		Union[str, Any]						=  get_framework(snake_case_		)
    if framework is None:
        return None
    __A					:		Any						=  get_mapping_for_task(snake_case_       ,snake_case_		)
    if mapping is None:
        return None

    __A					:		str						=  list({model_class.config_class for model_class in test_class.all_model_classes}		)
    if len(snake_case_		) != 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					:		Optional[Any]						=  mapping.get(config_classes[0]       ,snake_case_		)
    if isinstance(snake_case_       ,(tuple, list)		):
        __A					:		List[str]						=  sorted(snake_case_       ,key=lambda snake_case_		: x.__name__		)

    return model_class







def 	__lowercase  (     snake_case_						:						Dict		)     ->List[Any]:



    '''simple docstring'''







    __A					:		Optional[int]						=  [(task, get_model_for_pipeline_test(snake_case_       ,snake_case_		)) for task in pipeline_test_mapping]
    __A					:		List[str]						=  sorted([(task, model) for task, model in mapping if model is not None]       ,key=lambda snake_case_		: x[0]		)

    return dict(snake_case_		)







def 	__lowercase  (     snake_case_						:						Optional[Any]		)     ->List[Any]:



    '''simple docstring'''







    __A					:		str						=  get_framework(snake_case_		)
    if framework == "pt":
        __A					:		List[str]						=  '''torch'''
    __A					:		str						=  '''{}'''

    __A					:		Optional[int]						=  get_pipeline_model_mapping(snake_case_		)
    if len(snake_case_		) == 0:
        return ""

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

    return text







def 	__lowercase  (     snake_case_						:						Optional[int]		)     ->Tuple:



    '''simple docstring'''







    __A					:		Optional[int]						=  {'''ModelTesterMixin''', '''TFModelTesterMixin''', '''FlaxModelTesterMixin'''}
    if not issubclass(snake_case_       ,unittest.TestCase		):
        return False
    return len(base_class_names.intersection([x.__name__ for x in test_class.__bases__]		)		) > 0







def 	__lowercase  (     snake_case_						:						Optional[int]		)     ->Union[str, Any]:



    '''simple docstring'''







    __A					:		str						=  [x for x in get_test_classes(snake_case_		) if is_valid_test_class(snake_case_		)]

    __A					:		int						=  None
    for test_class in test_classes:
        # If a test class has defined `pipeline_model_mapping`, let's take it
        if getattr(snake_case_       ,'''pipeline_model_mapping'''       ,snake_case_		) is not None:
            __A					:		Dict						=  test_class
            break
    # Take the test class with the shortest name (just a heuristic)
    if target_test_class is None and len(snake_case_		) > 0:
        __A					:		str						=  sorted(snake_case_       ,key=lambda snake_case_		: (len(x.__name__		), x.__name__)		)[0]

    return target_test_class







def 	__lowercase  (     snake_case_						:						Optional[Any]       ,snake_case_						:						Optional[int]       ,snake_case_						:						Any		)     ->int:



    '''simple docstring'''







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

    return end_idx







def 	__lowercase  (     snake_case_						:						List[Any]       ,snake_case_						:						Union[str, Any]=False		)     ->Dict:



    '''simple docstring'''







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

    __A					:		Dict						=  get_pipeline_model_mapping_string(snake_case_		)
    if len(snake_case_		) == 0:
        return "", -1
    __A					:		List[str]						=  line_to_add + '''\n'''

    # The code defined the class `test_class`
    __A				, __A					:		Optional[Any]						=  inspect.getsourcelines(snake_case_		)
    # `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(snake_case_		):
        if line.lstrip().startswith('''class '''		):
            __A					:		Optional[int]						=  class_lines[idx:]
            class_start_line_no += idx
            break
    __A					:		Any						=  class_start_line_no + len(snake_case_		) - 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					:		Tuple						=  0
    # To record if `pipeline_model_mapping` is found in `test_class`.
    __A					:		str						=  None
    for idx, line in enumerate(snake_case_		):
        if line.strip().startswith('''all_model_classes = '''		):
            __A					:		Union[str, Any]						=  len(snake_case_		) - len(line.lstrip()		)
            __A					:		Tuple						=  idx
        elif line.strip().startswith('''all_generative_model_classes = '''		):
            __A					:		Union[str, Any]						=  len(snake_case_		) - len(line.lstrip()		)
            __A					:		Any						=  idx
        elif line.strip().startswith('''pipeline_model_mapping = '''		):
            __A					:		Optional[Any]						=  len(snake_case_		) - len(line.lstrip()		)
            __A					:		Dict						=  idx
            __A					:		Dict						=  line
            break

    if start_idx is None:
        return "", -1
    # Find the ending index (inclusive) of the above found block.
    __A					:		int						=  find_block_ending(snake_case_       ,snake_case_       ,snake_case_		)

    # 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					:		List[str]						=  re.compile(r'''\s(is_\S+?_available\(\))\s'''		)
    for line in class_lines[start_idx : end_idx + 1]:
        __A					:		Any						=  r.search(snake_case_		)
        if backend_condition is not None:
            # replace the leading and trailing whitespaces to the space character " ".
            __A					:		List[Any]						=  ''' ''' + backend_condition[0][1:-1] + ''' '''
            __A					:		Optional[Any]						=  r.sub(snake_case_       ,snake_case_		)
            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					:		Union[str, Any]						=  end_idx
    else:
        # `pipeline_model_mapping` is defined. The target index is set to be one **BEFORE** its start index.
        __A					:		Optional[Any]						=  start_idx - 1
        # mark the lines of the currently existing `pipeline_model_mapping` to be removed.
        for idx in range(snake_case_       ,end_idx + 1		):
            # These lines are going to be removed before writing to the test file.
            __A					:		List[str]						=  None  # noqa

    # Make sure the test class is a subclass of `PipelineTesterMixin`.
    __A					:		List[Any]						=  [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					:		Union[str, Any]						=  ''', '''.join(_parent_classes		)
        for idx, line in enumerate(snake_case_		):
            # 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					:		Tuple						=  None  # noqa
                break
        # Add the new, one-line, class declaration for `test_class`
        __A					:		Union[str, Any]						=  F"""class {test_class.__name__}({parent_classes}):\n"""

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

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

    return line_to_add







def 	__lowercase  (     snake_case_						:						Any       ,snake_case_						:						Any=False		)     ->Union[str, Any]:



    '''simple docstring'''







    __A					:		Dict						=  find_test_class(snake_case_		)
    if test_class:
        add_pipeline_model_mapping(snake_case_       ,overwrite=snake_case_		)


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"""



import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin


a_				=    """
Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf originally as a company that developed a chatbot app targeted at teenagers.[2] After open-sourcing the model behind the chatbot, the company pivoted to focus on being a platform for machine learning.

In March 2021, Hugging Face raised $40 million in a Series B funding round.[3]

On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model.[4] In 2022, the workshop concluded with the announcement of BLOOM, a multilingual large language model with 176 billion parameters.[5]
"""






class 	__snake_case      (	unittest.TestCase							,							SCREAMING_SNAKE_CASE__  ):





 """simple docstring"""


 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		Optional[Any]						=  load_tool('''summarization'''						)
     self.tool.setup()
     __A					:		Tuple						=  load_tool('''summarization'''      ,		remote=__lowerCamelCase						)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		List[str]						=  self.tool(__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		int						=  self.remote_tool(__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)

 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		List[Any]						=  self.tool(text=__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)







 def       UpperCamelCase__(					self						):



     '''simple docstring'''




     __A					:		Optional[int]						=  self.remote_tool(text=__lowerCamelCase						)
     self.assertEqual(
         __lowerCamelCase      ,		'''Hugging Face was founded in 2016 by French entrepreneurs Clément Delangue, Julien Chaumond, and Thomas Wolf. In March 2021, Hugging Face raised $40 million in a Series B funding round. On April 28, 2021, the company launched the BigScience Research Workshop in collaboration with several other research groups to release an open large language model. In 2022, the workshop concluded with the announcement of BLOOM.'''      ,		)




