






import argparse
import os

import torch

from transformers import (
    XLNetConfig,
    XLNetForQuestionAnswering,
    XLNetForSequenceClassification,
    XLNetLMHeadModel,
    load_tf_weights_in_xlnet,
)
from transformers.utils import CONFIG_NAME, WEIGHTS_NAME, logging


lowercase  							=					{
    "cola": 2,
    "mnli": 3,
    "mrpc": 2,
    "sst-2": 2,
    "sts-b": 1,
    "qqp": 2,
    "qnli": 2,
    "rte": 2,
    "wnli": 2,
}


logging.set_verbosity_info()





def 						__UpperCAmelCase			(     a_							,     a_							,     a_							,     a_=None):
							# Initialise PyTorch model
							snake_case_				=							XLNetConfig.from_json_file(a_)

							snake_case_				=							finetuning_task.lower() if finetuning_task is not None else ''
							if finetuning_task in GLUE_TASKS_NUM_LABELS:
														print(f'''Building PyTorch XLNetForSequenceClassification model from configuration: {config}''')
														snake_case_				=							finetuning_task
														snake_case_				=							GLUE_TASKS_NUM_LABELS[finetuning_task]
														snake_case_				=							XLNetForSequenceClassification(a_)
							elif "squad" in finetuning_task:
														snake_case_				=							finetuning_task
														snake_case_				=							XLNetForQuestionAnswering(a_)
							else:
														snake_case_				=							XLNetLMHeadModel(a_)

							# Load weights from tf checkpoint
							load_tf_weights_in_xlnet(a_							,     a_							,     a_)

							# Save pytorch-model
							snake_case_				=							os.path.join(a_							,     a_)
							snake_case_				=							os.path.join(a_							,     a_)
							print(f'''Save PyTorch model to {os.path.abspath(a_)}''')
							torch.save(model.state_dict()							,     a_)
							print(f'''Save configuration file to {os.path.abspath(a_)}''')
							with open(a_							,     'w'							,     encoding='utf-8') as f:
														f.write(config.to_json_string())


if __name__ == "__main__":
	lowercase  							=					argparse.ArgumentParser()
	# Required parameters
	parser.add_argument(
	    "--tf_checkpoint_path", default=None, type=str, required=True, help="Path to the TensorFlow checkpoint path."
	)
	parser.add_argument(
	    "--xlnet_config_file",
	    default=None,
	    type=str,
	    required=True,
	    help=(
	        "The config json file corresponding to the pre-trained XLNet model. \n"
	        "This specifies the model architecture."
	    ),
	)
	parser.add_argument(
	    "--pytorch_dump_folder_path",
	    default=None,
	    type=str,
	    required=True,
	    help="Path to the folder to store the PyTorch model or dataset/vocab.",
	)
	parser.add_argument(
	    "--finetuning_task",
	    default=None,
	    type=str,
	    help="Name of a task on which the XLNet TensorFlow model was fine-tuned",
	)
	lowercase  							=					parser.parse_args()
	print(args)

	convert_xlnet_checkpoint_to_pytorch(
	    args.tf_checkpoint_path, args.xlnet_config_file, args.pytorch_dump_folder_path, args.finetuning_task
	)













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


lowercase  							=					"src/transformers"


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





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





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

							snake_case_				=							0
							while line_index < len(a_) and not lines[line_index].startswith('_import_structure = {'):
														line_index += 1

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

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

							snake_case_				=							{'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.
														snake_case_				=							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:
																					snake_case_				=							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

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

																					snake_case_				=							objects
														else:
																					line_index += 1

    # At this stage we are in the TYPE_CHECKING part, first grab the objects without a specific backend
							snake_case_				=							[]
							while (
							    line_index < len(a_)
							    and find_backend(lines[line_index]) is None
							    and not lines[line_index].startswith('else')
							):
														snake_case_				=							lines[line_index]
														snake_case_				=							_re_import.search(a_)
														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

							snake_case_				=							{'none': objects}
							# Let's continue with backend-specific objects
							while line_index < len(a_):
														# If the line is an if is_backend_available, we grab all objects associated.
														snake_case_				=							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:
																					snake_case_				=							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

																					snake_case_				=							[]
																					# Until we unindent, add backend objects to the list
																					while len(lines[line_index]) <= 1 or lines[line_index].startswith(' ' * 8):
																												snake_case_				=							lines[line_index]
																												snake_case_				=							_re_import.search(a_)
																												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

																					snake_case_				=							objects
														else:
																					line_index += 1

							return import_dict_objects, type_hint_objects





def 						__UpperCAmelCase			(     a_							,     a_):

							def find_duplicates(a_):
														return [k for k, v in collections.Counter(a_).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!"]

							snake_case_				=							[]
							for key in import_dict_objects.keys():
														snake_case_				=							find_duplicates(import_dict_objects[key])
														if duplicate_imports:
																					errors.append(f'''Duplicate _import_structure definitions for: {duplicate_imports}''')
														snake_case_				=							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])):
																					snake_case_				=							'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 						__UpperCAmelCase			(     ):
							snake_case_				=							[]
							for root, _, files in os.walk(a_):
														if "__init__.py" in files:
																					snake_case_				=							os.path.join(a_							,     '__init__.py')
																					snake_case_				=							parse_init(a_)
																					if objects is not None:
																												snake_case_				=							analyze_results(*a_)
																												if len(a_) > 0:
																																			snake_case_				=							f'''Problem in {fname}, both halves do not define the same objects.\n{errors[0]}'''
																																			failures.append('\n'.join(a_))
							if len(a_) > 0:
														raise ValueError('\n\n'.join(a_))





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


lowercase  							=					[
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]





def 						__UpperCAmelCase			(     ):
							# This is to make sure the transformers module imported is the one in the repo.
							snake_case_				=							importlib.util.spec_from_file_location(
							    'transformers'							,     os.path.join(a_							,     '__init__.py')							,     submodule_search_locations=[PATH_TO_TRANSFORMERS]							,     )
							snake_case_				=							spec.loader.load_module()

							snake_case_				=							[
							    module
							    for module in get_transformers_submodules()
							    if module not in IGNORE_SUBMODULES and module not in transformers._import_structure.keys()
							]
							if len(a_) > 0:
														snake_case_				=							'\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()





