





import glob
import os

from get_test_info import get_tester_classes


if __name__ == "__main__":
	_lowerCamelCase       =	[]

	_lowerCamelCase       =	os.path.join('tests', 'models', '**', 'test_modeling_*.py')
	_lowerCamelCase       =	glob.glob(pattern)
	# TODO: deal with TF/Flax too
	_lowerCamelCase       =	[
	    x for x in test_files if not (x.startswith('test_modeling_tf_') or x.startswith('test_modeling_flax_'))
	]

	for test_file in test_files:
		_lowerCamelCase       =	get_tester_classes(test_file)
		for tester_class in tester_classes:
			# A few tester classes don't have `parent` parameter in `__init__`.
			# TODO: deal this better
			try:
				_lowerCamelCase       =	tester_class(parent=None)
			except Exception:
				continue
			if hasattr(tester, 'get_config'):
				_lowerCamelCase       =	tester.get_config()
				for k, v in config.to_dict().items():
					if isinstance(v, int):
						_lowerCamelCase       =	None
						if k in ["vocab_size"]:
							_lowerCamelCase       =	100
						elif k in ["max_position_embeddings"]:
							_lowerCamelCase       =	128
						elif k in ["hidden_size", "d_model"]:
							_lowerCamelCase       =	40
						elif k == ["num_layers", "num_hidden_layers", "num_encoder_layers", "num_decoder_layers"]:
							_lowerCamelCase       =	5
						if target is not None and v > target:
							failures.append(
							    F'''{tester_class.__name__} will produce a `config` of type `{config.__class__.__name__}`'''
							    F''' with config["{k}"] = {v} which is too large for testing! Set its value to be smaller'''
							    F''' than {target}.'''
							)

	if len(failures) > 0:
		raise Exception(F'''There were {len(failures)} failures:\n''' + '\n'.join(failures))






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_torch_available,
)


_lowerCamelCase       =	{
    'configuration_gptsan_japanese': ['GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GPTSanJapaneseConfig'],
    'tokenization_gptsan_japanese': ['GPTSanJapaneseTokenizer'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_lowerCamelCase       =	[
	    'GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'GPTSanJapaneseForConditionalGeneration',
	    'GPTSanJapaneseModel',
	    'GPTSanJapanesePreTrainedModel',
	]
	_lowerCamelCase       =	[
	    'GPTSanJapaneseTokenizer',
	]


if TYPE_CHECKING:
	from .configuration_gptsan_japanese import GPTSAN_JAPANESE_PRETRAINED_CONFIG_ARCHIVE_MAP, GPTSanJapaneseConfig
	from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_gptsan_japanese import (
		    GPTSAN_JAPANESE_PRETRAINED_MODEL_ARCHIVE_LIST,
		    GPTSanJapaneseForConditionalGeneration,
		    GPTSanJapaneseModel,
		    GPTSanJapanesePreTrainedModel,
		)
		from .tokenization_gptsan_japanese import GPTSanJapaneseTokenizer


else:
	import sys

	_lowerCamelCase       =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)