'''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						:    Dict     					=					{}
for task, _ in pipeline_test_mapping.items():
   _UpperCAmelCase						:    Optional[int]     					=					{'''pt''': None, '''tf''': None}


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





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Dict							):

     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    _SCREAMING_SNAKE_CASE		(			__snake_case       : int      ,		__snake_case       : Optional[int]							):
     # Use the cached results
     if PIPELINE_TEST_MAPPING[task].get(__snake_case      ,		__snake_case							) is not None:
          return PIPELINE_TEST_MAPPING[task][framework]

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

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

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

     # cache the results
     _A								=     mapping
     return mapping





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Any      ,		__snake_case       : Optional[Any]							):
     _A								=     get_framework(__snake_case							)
     if framework is None:
          return None
     _A								=     get_mapping_for_task(__snake_case      ,		__snake_case							)
     if mapping is None:
          return None

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

     return model_class





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

     return dict(__snake_case							)





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Union[str, Any]							):
     _A								=     get_framework(__snake_case							)
     if framework == "pt":
          _A								=     'torch'
     _A								=     '{}'

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

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

     return text





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Union[str, Any]							):
     _A								=     {'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    _SCREAMING_SNAKE_CASE		(			__snake_case       : List[str]							):
     _A								=     [x for x in get_test_classes(__snake_case							) if is_valid_test_class(__snake_case							)]

     _A								=     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								=     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								=     sorted(__snake_case      ,		key=lambda __snake_case							: (len(x.__name__							), x.__name__)							)[0]

     return target_test_class





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

     return end_idx





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Union[str, Any]      ,		__snake_case       : int=False							):
     if getattr(__snake_case      ,		'pipeline_model_mapping'      ,		__snake_case							) is not None:
          if not overwrite:
               return "", -1

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

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

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

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

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

     _A								=     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    _SCREAMING_SNAKE_CASE		(			__snake_case       : str      ,		__snake_case       : List[Any]=False							):
     _A								=     find_test_class(__snake_case							)
     if test_class:
          add_pipeline_model_mapping(__snake_case      ,		overwrite=__snake_case							)


if __name__ == "__main__":
   _UpperCAmelCase						:    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						:    Tuple     					=					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						:    List[str]     					=					[]
   if args.test_file:
      _UpperCAmelCase						:    Optional[Any]     					=					[args.test_file]
   else:
      _UpperCAmelCase						:    Dict     					=					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 argparse
import os
import sys
import urllib.request
import zipfile


_UpperCAmelCase						:    int     					=					['''CoLA''', '''SST''', '''MRPC''', '''QQP''', '''STS''', '''MNLI''', '''SNLI''', '''QNLI''', '''RTE''', '''WNLI''', '''diagnostic''']
_UpperCAmelCase						:    Dict     					=					{
    '''CoLA''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FCoLA.zip?alt=media&token=46d5e637-3411-4188-bc44-5809b5bfb5f4''',
    '''SST''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSST-2.zip?alt=media&token=aabc5f6b-e466-44a2-b9b4-cf6337f84ac8''',
    '''MRPC''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2Fmrpc_dev_ids.tsv?alt=media&token=ec5c0836-31d5-48f4-b431-7480817f1adc''',
    '''QQP''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQQP.zip?alt=media&token=700c6acf-160d-4d89-81d1-de4191d02cb5''',
    '''STS''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSTS-B.zip?alt=media&token=bddb94a7-8706-4e0d-a694-1109e12273b5''',
    '''MNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FMNLI.zip?alt=media&token=50329ea1-e339-40e2-809c-10c40afff3ce''',
    '''SNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FSNLI.zip?alt=media&token=4afcfbb2-ff0c-4b2d-a09a-dbf07926f4df''',
    '''QNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FQNLIv2.zip?alt=media&token=6fdcf570-0fc5-4631-8456-9505272d1601''',
    '''RTE''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FRTE.zip?alt=media&token=5efa7e85-a0bb-4f19-8ea2-9e1840f077fb''',
    '''WNLI''': '''https://firebasestorage.googleapis.com/v0/b/mtl-sentence-representations.appspot.com/o/data%2FWNLI.zip?alt=media&token=068ad0a0-ded7-4bd7-99a5-5e00222e0faf''',
    '''diagnostic''': '''https://storage.googleapis.com/mtl-sentence-representations.appspot.com/tsvsWithoutLabels%2FAX.tsv?GoogleAccessId=firebase-adminsdk-0khhl@mtl-sentence-representations.iam.gserviceaccount.com&Expires=2498860800&Signature=DuQ2CSPt2Yfre0C%2BiISrVYrIFaZH1Lc7hBVZDD4ZyR7fZYOMNOUGpi8QxBmTNOrNPjR3z1cggo7WXFfrgECP6FBJSsURv8Ybrue8Ypt%2FTPxbuJ0Xc2FhDi%2BarnecCBFO77RSbfuz%2Bs95hRrYhTnByqu3U%2FYZPaj3tZt5QdfpH2IUROY8LiBXoXS46LE%2FgOQc%2FKN%2BA9SoscRDYsnxHfG0IjXGwHN%2Bf88q6hOmAxeNPx6moDulUF6XMUAaXCSFU%2BnRO2RDL9CapWxj%2BDl7syNyHhB7987hZ80B%2FwFkQ3MEs8auvt5XW1%2Bd4aCU7ytgM69r8JDCwibfhZxpaa4gd50QXQ%3D%3D''',
}

_UpperCAmelCase						:    Any     					=					'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_train.txt'''
_UpperCAmelCase						:    List[Any]     					=					'''https://dl.fbaipublicfiles.com/senteval/senteval_data/msr_paraphrase_test.txt'''





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : int      ,		__snake_case       : Union[str, Any]							):
     print(F'Downloading and extracting {task}...'							)
     _A								=     F'{task}.zip'
     urllib.request.urlretrieve(TASKaPATH[task]      ,		__snake_case							)
     with zipfile.ZipFile(__snake_case							) as zip_ref:
          zip_ref.extractall(__snake_case							)
     os.remove(__snake_case							)
     print('\tCompleted!'							)





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : int      ,		__snake_case       : str							):
     print('Processing MRPC...'							)
     _A								=     os.path.join(__snake_case      ,		'MRPC'							)
     if not os.path.isdir(__snake_case							):
          os.mkdir(__snake_case							)
     if path_to_data:
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_train.txt'							)
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_test.txt'							)
     else:
          print('Local MRPC data not specified, downloading data from %s' % MRPC_TRAIN							)
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_train.txt'							)
          _A								=     os.path.join(__snake_case      ,		'msr_paraphrase_test.txt'							)
          urllib.request.urlretrieve(__snake_case      ,		__snake_case							)
          urllib.request.urlretrieve(__snake_case      ,		__snake_case							)
     if not os.path.isfile(__snake_case							):
          raise ValueError(F'Train data not found at {mrpc_train_file}'							)
     if not os.path.isfile(__snake_case							):
          raise ValueError(F'Test data not found at {mrpc_test_file}'							)
     urllib.request.urlretrieve(TASKaPATH['MRPC']      ,		os.path.join(__snake_case      ,		'dev_ids.tsv'							)							)

     _A								=     []
     with open(os.path.join(__snake_case      ,		'dev_ids.tsv'							)      ,		encoding='utf8'							) as ids_fh:
          for row in ids_fh:
               dev_ids.append(row.strip().split('\t'							)							)

     with open(__snake_case      ,		encoding='utf8'							) as data_fh, open(
         os.path.join(__snake_case      ,		'train.tsv'							)      ,		'w'      ,		encoding='utf8'							) as train_fh, open(os.path.join(__snake_case      ,		'dev.tsv'							)      ,		'w'      ,		encoding='utf8'							) as dev_fh:
          _A								=     data_fh.readline()
          train_fh.write(__snake_case							)
          dev_fh.write(__snake_case							)
          for row in data_fh:
               _A		,					_A		,					_A		,					_A		,					_A								=     row.strip().split('\t'							)
               if [ida, ida] in dev_ids:
                    dev_fh.write('%s\t%s\t%s\t%s\t%s\n' % (label, ida, ida, sa, sa)							)
               else:
                    train_fh.write('%s\t%s\t%s\t%s\t%s\n' % (label, ida, ida, sa, sa)							)

     with open(__snake_case      ,		encoding='utf8'							) as data_fh, open(
         os.path.join(__snake_case      ,		'test.tsv'							)      ,		'w'      ,		encoding='utf8'							) as test_fh:
          _A								=     data_fh.readline()
          test_fh.write('index\t#1 ID\t#2 ID\t#1 String\t#2 String\n'							)
          for idx, row in enumerate(__snake_case							):
               _A		,					_A		,					_A		,					_A		,					_A								=     row.strip().split('\t'							)
               test_fh.write('%d\t%s\t%s\t%s\t%s\n' % (idx, ida, ida, sa, sa)							)
     print('\tCompleted!'							)





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : List[Any]							):
     print('Downloading and extracting diagnostic...'							)
     if not os.path.isdir(os.path.join(__snake_case      ,		'diagnostic'							)							):
          os.mkdir(os.path.join(__snake_case      ,		'diagnostic'							)							)
     _A								=     os.path.join(__snake_case      ,		'diagnostic'      ,		'diagnostic.tsv'							)
     urllib.request.urlretrieve(TASKaPATH['diagnostic']      ,		__snake_case							)
     print('\tCompleted!'							)
     return





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : List[Any]							):
     _A								=     task_names.split(','							)
     if "all" in task_names:
          _A								=     TASKS
     else:
          _A								=     []
          for task_name in task_names:
               if task_name not in TASKS:
                    raise ValueError(F'Task {task_name} not found!'							)
               tasks.append(__snake_case							)
     return tasks





def    _SCREAMING_SNAKE_CASE		(			__snake_case       : Optional[int]							):
     _A								=     argparse.ArgumentParser()
     parser.add_argument('--data_dir'      ,		help='directory to save data to'      ,		type=__snake_case      ,		default='glue_data'							)
     parser.add_argument(
         '--tasks'      ,		help='tasks to download data for as a comma separated string'      ,		type=__snake_case      ,		default='all'							)
     parser.add_argument(
         '--path_to_mrpc'      ,		help='path to directory containing extracted MRPC data, msr_paraphrase_train.txt and msr_paraphrase_text.txt'      ,		type=__snake_case      ,		default=''      ,		)
     _A								=     parser.parse_args(__snake_case							)

     if not os.path.isdir(args.data_dir							):
          os.mkdir(args.data_dir							)
     _A								=     get_tasks(args.tasks							)

     for task in tasks:
          if task == "MRPC":
               format_mrpc(args.data_dir      ,		args.path_to_mrpc							)
          elif task == "diagnostic":
               download_diagnostic(args.data_dir							)
          else:
               download_and_extract(__snake_case      ,		args.data_dir							)


if __name__ == "__main__":
   sys.exit(main(sys.argv[1:]))



