# 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.
__UpperCamelCase		:       str									=     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       A	(    _lowercase						):
						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       A	(    _lowercase						):
						from transformers.testing_utils import pytest_addoption_shared

						pytest_addoption_shared(_lowercase						)
def       A	(    _lowercase						):
						from transformers.testing_utils import pytest_terminal_summary_main

						SCREAMING_SNAKE_CASE							:    List[str]							=							terminalreporter.config.getoption('''--make-reports'''						)
						if make_reports:
												pytest_terminal_summary_main(_lowercase		,  id=_lowercase						)
def       A	(    _lowercase		,  _lowercase						):
						# If no tests are collected, pytest exists with code 5, which makes the CI fail.
						if exitstatus == 5:
												SCREAMING_SNAKE_CASE							:    Dict							=							0


# Doctest custom flag to ignore output.
__UpperCamelCase		:       Union[str, Any]									=     doctest.register_optionflag('IGNORE_RESULT')

__UpperCamelCase		:       List[str]									=     doctest.OutputChecker





class 					lowercase__						(   UpperCamelCase_):


						def        __A       (       self	:				Tuple    ,		UpperCamelCase__	:				List[Any]    ,		UpperCamelCase__	:				List[Any]    ,		UpperCamelCase__	:				int						):





												'''simple docstring'''





												if IGNORE_RESULT & optionflags:
																		return True
												return OutputChecker.check_output(self    ,		UpperCamelCase__    ,		UpperCamelCase__    ,		UpperCamelCase__						)






__UpperCamelCase		:       Tuple									=     CustomOutputChecker
__UpperCamelCase		:       Optional[int]									=     HfDoctestModule



__UpperCamelCase		:       Dict									=     HfDocTestParser






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


__UpperCamelCase		:       List[Any]									=     {'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
					if not is_vision_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       Optional[Any]									=     ['GLPNFeatureExtractor']
					__UpperCamelCase		:       List[str]									=     ['GLPNImageProcessor']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					__UpperCamelCase		:       str									=     [
					    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'GLPNForDepthEstimation',
					    'GLPNLayer',
					    'GLPNModel',
					    'GLPNPreTrainedModel',
					]


if TYPE_CHECKING:
					from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

					try:
										if not is_vision_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .feature_extraction_glpn import GLPNFeatureExtractor
										from .image_processing_glpn import GLPNImageProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_glpn import (
										    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
										    GLPNForDepthEstimation,
										    GLPNLayer,
										    GLPNModel,
										    GLPNPreTrainedModel,
										)


else:
					import sys

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





