from typing import TYPE_CHECKING

from ...file_utils import _LazyModule, is_tokenizers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


A_ :				List[str]						 =    {'configuration_gpt_neox': ['GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTNeoXConfig']}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_ :				Any						 =    ['GPTNeoXTokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_ :				Tuple						 =    [
	    'GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTNeoXForCausalLM',
	    'GPTNeoXForQuestionAnswering',
	    'GPTNeoXForSequenceClassification',
	    'GPTNeoXForTokenClassification',
	    'GPTNeoXLayer',
	    'GPTNeoXModel',
	    'GPTNeoXPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_gpt_neox import GPT_NEOX_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTNeoXConfig

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_gpt_neox_fast import GPTNeoXTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gpt_neox import (
		    GPT_NEOX_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTNeoXForCausalLM,
		    GPTNeoXForQuestionAnswering,
		    GPTNeoXForSequenceClassification,
		    GPTNeoXForTokenClassification,
		    GPTNeoXLayer,
		    GPTNeoXModel,
		    GPTNeoXPreTrainedModel,
		)


else:
	import sys

	A_ :				List[Any]						 =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
A_ :				Optional[int]						 =    abspath(join(dirname(__file__), 'src'))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)

def 		UpperCamelCase      (lowercase_:				List[str]      )  ->   Any:
	config.addinivalue_line(
	    """markers"""					,   """is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested"""      )
	config.addinivalue_line(
	    """markers"""					,   """is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested"""      )
	config.addinivalue_line("""markers"""					,   """is_pipeline_test: mark test to run only when pipelines are tested"""      )
	config.addinivalue_line("""markers"""					,   """is_staging_test: mark test to run only in the staging environment"""      )
	config.addinivalue_line("""markers"""					,   """accelerate_tests: mark test that require accelerate"""      )
	config.addinivalue_line("""markers"""					,   """tool_tests: mark the tool tests that are run on their specific schedule"""      )

def 		UpperCamelCase      (lowercase_:				Optional[int]      )  ->   Optional[Any]:
	from transformers.testing_utils import pytest_addoption_shared

	pytest_addoption_shared(lowercase_      )

def 		UpperCamelCase      (lowercase_:				List[str]      )  ->   Optional[Any]:
	from transformers.testing_utils import pytest_terminal_summary_main

	A__							:					List[Any]       =	terminalreporter.config.getoption("""--make-reports"""      )
	if make_reports:
		pytest_terminal_summary_main(lowercase_					,   id=lowercase_      )

def 		UpperCamelCase      (lowercase_:				Union[str, Any]					,   lowercase_:				int      )  ->   List[str]:
	# If no tests are collected, pytest exists with code 5, which makes the CI fail.
	if exitstatus == 5:
		A__							:					Tuple       =	0


# Doctest custom flag to ignore output.
A_ :				Tuple						 =    doctest.register_optionflag('IGNORE_RESULT')

A_ :				Dict						 =    doctest.OutputChecker



class 					_a		(__magic_name__       ):


					'''simple docstring'''






					def 						__A    (				self					, A__					, A__					, A__    ):
						if IGNORE_RESULT & optionflags:
							return True
						return OutputChecker.check_output(self					, A__					, A__					, A__    )



A_ :				str						 =    CustomOutputChecker
A_ :				Dict						 =    HfDoctestModule


A_ :				Optional[int]						 =    HfDocTestParser



