

"""simple docstring"""




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


A_							:			Any											= "src/transformers"


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

def 	A       (     snake_case__    ):




			'''simple docstring'''


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

def 	A       (     snake_case__    ):




			'''simple docstring'''


			with open(snake_case__		,				"""r"""		,				encoding="""utf-8"""		,				newline="""\n"""    ) as f:
						SCREAMING_SNAKE_CASE__								=      f.readlines()

			SCREAMING_SNAKE_CASE__								=      0
			while line_index < len(snake_case__    ) and not lines[line_index].startswith("""_import_structure = {"""    ):
						line_index += 1

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

			# First grab the objects without a specific backend in _import_structure
			SCREAMING_SNAKE_CASE__								=      []
			while not lines[line_index].startswith("""if TYPE_CHECKING"""    ) and find_backend(lines[line_index]    ) is None:
						SCREAMING_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(snake_case__    ):
									SCREAMING_SNAKE_CASE__								=      _re_one_line_import_struct.search(snake_case__    ).groups()[0]
									SCREAMING_SNAKE_CASE__								=      re.findall("""\[([^\]]+)\]"""		,				snake_case__    )
									for imp in imports:
												objects.extend([obj[1:-1] for obj in imp.split(""", """    )]    )
									line_index += 1
									continue
						SCREAMING_SNAKE_CASE__								=      _re_import_struct_key_value.search(snake_case__    )
						if single_line_import_search is not None:
									SCREAMING_SNAKE_CASE__								=      [obj[1:-1] for obj in single_line_import_search.groups()[0].split(""", """    ) if len(snake_case__    ) > 0]
									objects.extend(snake_case__    )
						elif line.startswith(""" """ * 8 + """\""""    ):
									objects.append(line[9:-3]    )
						line_index += 1

			SCREAMING_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.
						SCREAMING_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:
									SCREAMING_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

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

									SCREAMING_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
			SCREAMING_SNAKE_CASE__								=      []
			while (
			    line_index < len(snake_case__    )
			    and find_backend(lines[line_index]    ) is None
			    and not lines[line_index].startswith("""else"""    )
			):
						SCREAMING_SNAKE_CASE__								=      lines[line_index]
						SCREAMING_SNAKE_CASE__								=      _re_import.search(snake_case__    )
						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

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

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

									SCREAMING_SNAKE_CASE__								=      objects
						else:
									line_index += 1

			return import_dict_objects, type_hint_objects

def 	A       (     snake_case__		,				snake_case__    ):




			'''simple docstring'''


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

			SCREAMING_SNAKE_CASE__								=      []
			for key in import_dict_objects.keys():
						SCREAMING_SNAKE_CASE__								=      find_duplicates(import_dict_objects[key]    )
						if duplicate_imports:
									errors.append(f"""Duplicate _import_structure definitions for: {duplicate_imports}"""    )
						SCREAMING_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]    )    ):
									SCREAMING_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 	A       (     ):




			'''simple docstring'''


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

def 	A       (     ):




			'''simple docstring'''


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


A_							:			Any											= [
    "convert_pytorch_checkpoint_to_tf2",
    "modeling_flax_pytorch_utils",
]

def 	A       (     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__								=      importlib.util.spec_from_file_location(
			    """transformers"""		,				os.path.join(snake_case__		,				"""__init__.py"""    )		,				submodule_search_locations=[PATH_TO_TRANSFORMERS]		,				)
			SCREAMING_SNAKE_CASE__								=      spec.loader.load_module()

			SCREAMING_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(snake_case__    ) > 0:
						SCREAMING_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()





"""simple docstring"""




import doctest
import glob
import importlib
import inspect
import os
import re
from contextlib import contextmanager
from functools import wraps
from unittest.mock import patch

import numpy as np
import pytest
from absl.testing import parameterized

import datasets
from datasets import load_metric

from .utils import for_all_test_methods, local, slow


# mark all tests as integration
A_							:			Optional[Any]											= pytest.mark.integration


A_							:			Union[str, Any]											= {"comet"}
A_							:			str											= importlib.util.find_spec("fairseq") is not None

A_							:			Any											= {"code_eval"}
A_							:			Tuple											= os.name == "nt"

A_							:			List[Any]											= {"bertscore", "frugalscore", "perplexity"}
A_							:			Any											= importlib.util.find_spec("transformers") is not None

def 	A       (     snake_case__    ):




			'''simple docstring'''


			@wraps(snake_case__    )
			def wrapper(self		,				snake_case__    ):
						if not _has_fairseq and metric_name in REQUIRE_FAIRSEQ:
									self.skipTest("""\"test requires Fairseq\""""    )
						else:
									test_case(self		,				snake_case__    )

			return wrapper

def 	A       (     snake_case__    ):




			'''simple docstring'''


			@wraps(snake_case__    )
			def wrapper(self		,				snake_case__    ):
						if not _has_transformers and metric_name in REQUIRE_TRANSFORMERS:
									self.skipTest("""\"test requires transformers\""""    )
						else:
									test_case(self		,				snake_case__    )

			return wrapper

def 	A       (     snake_case__    ):




			'''simple docstring'''


			@wraps(snake_case__    )
			def wrapper(self		,				snake_case__    ):
						if _on_windows and metric_name in UNSUPPORTED_ON_WINDOWS:
									self.skipTest("""\"test not supported on Windows\""""    )
						else:
									test_case(self		,				snake_case__    )

			return wrapper

def 	A       (     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__								=      [metric_dir.split(os.sep    )[-2] for metric_dir in glob.glob("""./metrics/*/"""    )]
			return [{"testcase_name": x, "metric_name": x} for x in metrics if x != "gleu"]  # gleu is unfinished





@parameterized.named_parameters(get_local_metric_names()			)
@for_all_test_methods(
    A__			,A__			,A__			)
@local
class    lowerCamelCase						(parameterized.TestCase			):
			lowerCamelCase__   :		int							=							{}
			lowerCamelCase__   :		Dict							=							None

			@pytest.mark.filterwarnings("""ignore:metric_module_factory is deprecated:FutureWarning"""       )
			@pytest.mark.filterwarnings("""ignore:load_metric is deprecated:FutureWarning"""       )
			def 					SCREAMING_SNAKE_CASE				(					self				:						str    ,				__UpperCAmelCase				:						str       )   ->    Union[str, Any]:
						SCREAMING_SNAKE_CASE__								=      """[...]"""
						SCREAMING_SNAKE_CASE__								=      importlib.import_module(
						    datasets.load.metric_module_factory(os.path.join("""metrics"""    ,				__UpperCAmelCase       )       ).module_path       )
						SCREAMING_SNAKE_CASE__								=      datasets.load.import_main_class(metric_module.__name__    ,				dataset=__UpperCAmelCase       )
						# check parameters
						SCREAMING_SNAKE_CASE__								=      inspect.signature(metric._compute       ).parameters
						self.assertTrue(all(p.kind != p.VAR_KEYWORD for p in parameters.values()       )       )  # no **kwargs
						# run doctest
						with self.patch_intensive_calls(__UpperCAmelCase    ,				metric_module.__name__       ):
									with self.use_local_metrics():
												try:
															SCREAMING_SNAKE_CASE__								=      doctest.testmod(__UpperCAmelCase    ,				verbose=__UpperCAmelCase    ,				raise_on_error=__UpperCAmelCase       )
												except doctest.UnexpectedException as e:
															raise e.exc_info[1]  # raise the exception that doctest caught
						self.assertEqual(results.failed    ,				0       )
						self.assertGreater(results.attempted    ,				1       )

			@slow
			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[Any]    ,				__UpperCAmelCase				:						Optional[Any]       )   ->    str:
						SCREAMING_SNAKE_CASE__								=      """[...]"""
						SCREAMING_SNAKE_CASE__								=      importlib.import_module(
						    datasets.load.metric_module_factory(os.path.join("""metrics"""    ,				__UpperCAmelCase       )       ).module_path       )
						# run doctest
						with self.use_local_metrics():
									SCREAMING_SNAKE_CASE__								=      doctest.testmod(__UpperCAmelCase    ,				verbose=__UpperCAmelCase    ,				raise_on_error=__UpperCAmelCase       )
						self.assertEqual(results.failed    ,				0       )
						self.assertGreater(results.attempted    ,				1       )

			@contextmanager
			def 					SCREAMING_SNAKE_CASE				(					self				:						Any    ,				__UpperCAmelCase				:						List[str]    ,				__UpperCAmelCase				:						Optional[Any]       )   ->    str:
						if metric_name in self.INTENSIVE_CALLS_PATCHER:
									with self.INTENSIVE_CALLS_PATCHER[metric_name](__UpperCAmelCase       ):
												yield
						else:
									yield

			@contextmanager
			def 					SCREAMING_SNAKE_CASE				(					self				:						Optional[int]       )   ->    Union[str, Any]:
						def load_local_metric(__UpperCAmelCase				:						int    ,				*__UpperCAmelCase				:						int    ,				**__UpperCAmelCase				:						Optional[int]       ):
									return load_metric(os.path.join("""metrics"""    ,				__UpperCAmelCase       )    ,				*__UpperCAmelCase    ,				**__UpperCAmelCase       )

						with patch("""datasets.load_metric"""       ) as mock_load_metric:
									SCREAMING_SNAKE_CASE__								=      load_local_metric
									yield





			@classmethod
			def 					SCREAMING_SNAKE_CASE				(					cls				:						Dict    ,				__UpperCAmelCase				:						int       )   ->    Optional[Any]:
						def wrapper(__UpperCAmelCase				:						List[str]       ):
									SCREAMING_SNAKE_CASE__								=      contextmanager(__UpperCAmelCase       )
									SCREAMING_SNAKE_CASE__								=      patcher
									return patcher

						return wrapper

@LocalMetricTest.register_intensive_calls_patcher("""bleurt"""    )
def 	A       (     snake_case__    ):




			'''simple docstring'''


			import tensorflow.compat.va as tf
			from bleurt.score import Predictor

			tf.flags.DEFINE_string("""sv"""		,				""""""		,				""""""    )  # handle pytest cli flags





			class    lowerCamelCase						(A__			):

						def 					SCREAMING_SNAKE_CASE				(					self				:						Any    ,				__UpperCAmelCase				:						Union[str, Any]       )   ->    List[str]:
									assert len(input_dict["""input_ids"""]       ) == 2
									return np.array([1.03, 1.04]       )

    # mock predict_fn which is supposed to do a forward pass with a bleurt model
			with patch("""bleurt.score._create_predictor"""    ) as mock_create_predictor:
						SCREAMING_SNAKE_CASE__								=      MockedPredictor()
						yield

@LocalMetricTest.register_intensive_calls_patcher("""bertscore"""    )
def 	A       (     snake_case__    ):




			'''simple docstring'''


			import torch

			def bert_cos_score_idf(snake_case__		,				snake_case__		,				*snake_case__		,				**snake_case__    ):
						return torch.tensor([[1.0, 1.0, 1.0]] * len(snake_case__    )    )

			# mock get_model which is supposed to do download a bert model
			# mock bert_cos_score_idf which is supposed to do a forward pass with a bert model
			with patch("""bert_score.scorer.get_model"""    ), patch(
			    """bert_score.scorer.bert_cos_score_idf"""    ) as mock_bert_cos_score_idf:
						SCREAMING_SNAKE_CASE__								=      bert_cos_score_idf
						yield

@LocalMetricTest.register_intensive_calls_patcher("""comet"""    )
def 	A       (     snake_case__    ):




			'''simple docstring'''


			def load_from_checkpoint(snake_case__    ):





						class    lowerCamelCase						:

									def 					SCREAMING_SNAKE_CASE				(					self				:						List[str]    ,				__UpperCAmelCase				:						Any    ,				*__UpperCAmelCase				:						str    ,				**__UpperCAmelCase				:						List[Any]       )   ->    Optional[int]:
												assert len(__UpperCAmelCase       ) == 2
												SCREAMING_SNAKE_CASE__								=      [0.19, 0.92]
												return scores, sum(__UpperCAmelCase       ) / len(__UpperCAmelCase       )
						return Model()

			# mock load_from_checkpoint which is supposed to do download a bert model
			# mock load_from_checkpoint which is supposed to do download a bert model
			with patch("""comet.download_model"""    ) as mock_download_model:
						SCREAMING_SNAKE_CASE__								=      None
						with patch("""comet.load_from_checkpoint"""    ) as mock_load_from_checkpoint:
									SCREAMING_SNAKE_CASE__								=      load_from_checkpoint
									yield




def 	A       (     ):




			'''simple docstring'''


			SCREAMING_SNAKE_CASE__								=      load_metric(os.path.join("""metrics"""		,				"""seqeval"""    )    )
			SCREAMING_SNAKE_CASE__								=      """ERROR"""
			SCREAMING_SNAKE_CASE__								=      f"""Scheme should be one of [IOB1, IOB2, IOE1, IOE2, IOBES, BILOU], got {wrong_scheme}"""
			with pytest.raises(snake_case__		,				match=re.escape(snake_case__    )    ):
						metric.compute(predictions=[]		,				references=[]		,				scheme=snake_case__    )


