






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


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


    '''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   ( _lowercase,   _lowercase   ):


    '''simple docstring'''



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

    _lowercase     			=						pipeline_test_mapping[task]['test']
    _lowercase     			=						None

    if framework == "pt":
        _lowercase     			=						getattr(_lowercase,   'model_mapping',   _lowercase   )
    elif framework == "tf":
        _lowercase     			=						getattr(_lowercase,   'tf_model_mapping',   _lowercase   )

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

    # cache the results
    _lowercase     			=						mapping
    return mapping
def 							UpperCAmelCase   ( _lowercase,   _lowercase   ):


    '''simple docstring'''



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

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

    return model_class
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



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

    return dict(_lowercase   )
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



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

    _lowercase     			=						get_pipeline_model_mapping(_lowercase   )
    if len(_lowercase   ) == 0:
        return ""

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

    return text
def 							UpperCAmelCase   ( _lowercase   ):


    '''simple docstring'''



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


    '''simple docstring'''



    _lowercase     			=						[x for x in get_test_classes(_lowercase   ) if is_valid_test_class(_lowercase   )]

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

    return target_test_class
def 							UpperCAmelCase   ( _lowercase,   _lowercase,   _lowercase   ):


    '''simple docstring'''



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

    return end_idx
def 							UpperCAmelCase   ( _lowercase,   _lowercase=False   ):


    '''simple docstring'''



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

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

    # The code defined the class `test_class`
    _lowercase			,     _lowercase     			=						inspect.getsourcelines(_lowercase   )
    # `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(_lowercase   ):
        if line.lstrip().startswith('class '   ):
            _lowercase     			=						class_lines[idx:]
            class_start_line_no += idx
            break
    _lowercase     			=						class_start_line_no + len(_lowercase   ) - 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`.
    _lowercase     			=						None
    # The indent level of the line at `class_lines[start_idx]` (if defined)
    _lowercase     			=						0
    # To record if `pipeline_model_mapping` is found in `test_class`.
    _lowercase     			=						None
    for idx, line in enumerate(_lowercase   ):
        if line.strip().startswith('all_model_classes = '   ):
            _lowercase     			=						len(_lowercase   ) - len(line.lstrip()   )
            _lowercase     			=						idx
        elif line.strip().startswith('all_generative_model_classes = '   ):
            _lowercase     			=						len(_lowercase   ) - len(line.lstrip()   )
            _lowercase     			=						idx
        elif line.strip().startswith('pipeline_model_mapping = '   ):
            _lowercase     			=						len(_lowercase   ) - len(line.lstrip()   )
            _lowercase     			=						idx
            _lowercase     			=						line
            break

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

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

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

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

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

    return line_to_add
def 							UpperCAmelCase   ( _lowercase,   _lowercase=False   ):


    '''simple docstring'''



    _lowercase     			=						find_test_class(_lowercase   )
    if test_class:
        add_pipeline_model_mapping(_lowercase,   overwrite=_lowercase   )


if __name__ == "__main__":
   lowerCamelCase					    =	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					    =	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					    =	[]
   if args.test_file:
      lowerCamelCase					    =	[args.test_file]
   else:
      lowerCamelCase					    =	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)








import torch

from accelerate import Accelerator, DistributedType

class        snake_case_				:







   """simple docstring"""



   def __enter__(     self:						int						)	->		Tuple:


       """simple docstring"""



       if self.enabled:
           _lowercase     			=						self.model.no_sync()
           self.model_sync_obj.__enter__()

       return self

   def __exit__(     self:						str ,							snake_case__:						Tuple ,							snake_case__:						int ,							snake_case__:						Tuple						)	->		Any:


       """simple docstring"""



       if self.enabled:
           # Average all models on exit
           self._sync_and_avg_model_params()
           self.model_sync_obj.__exit__(snake_case__ ,							snake_case__ ,							snake_case__						)

   def __init__(     self:						int ,							snake_case__:						Accelerator ,							snake_case__:						torch.nn.Module ,							snake_case__:						int ,							snake_case__:						bool = True						)	->		Optional[Any]:


       """simple docstring"""



       if accelerator.distributed_type not in [
           DistributedType.NO,
           DistributedType.MULTI_CPU,
           DistributedType.MULTI_GPU,
       ]:
           raise NotImplementedError('LocalSGD is supported only for CPUs and GPUs (no DeepSpeed or MegatronLM)'						)
       _lowercase     			=						enabled and accelerator.distributed_type != DistributedType.NO
       _lowercase     			=						0
       if self.enabled:
           _lowercase     			=						accelerator
           _lowercase     			=						model
           _lowercase     			=						local_sgd_steps

   def       SCREAMING_SNAKE_CASE__					(     self:						str						)	->		List[Any]:


       """simple docstring"""



       self.num_steps += 1
       if not self.enabled:
           return

       if self.num_steps % self.local_sgd_steps == 0:
           self._sync_and_avg_model_params()

   def       SCREAMING_SNAKE_CASE__					(     self:						Optional[int]						)	->		Dict:


       """simple docstring"""



       self.accelerator.wait_for_everyone()
       with self.accelerator.autocast():
           for param in self.model.parameters():
               _lowercase     			=						self.accelerator.reduce(param.data ,							reduction='mean'						)
