



"""simple docstring"""






from typing import TYPE_CHECKING

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


__snake_case							:   List[Any]      =    {
    'configuration_distilbert': [
        'DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'DistilBertConfig',
        'DistilBertOnnxConfig',
    ],
    'tokenization_distilbert': ['DistilBertTokenizer'],
}

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:   str      =    ['DistilBertTokenizerFast']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:   List[Any]      =    [
	    'DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'DistilBertForMaskedLM',
	    'DistilBertForMultipleChoice',
	    'DistilBertForQuestionAnswering',
	    'DistilBertForSequenceClassification',
	    'DistilBertForTokenClassification',
	    'DistilBertModel',
	    'DistilBertPreTrainedModel',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:   str      =    [
	    'TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'TFDistilBertForMaskedLM',
	    'TFDistilBertForMultipleChoice',
	    'TFDistilBertForQuestionAnswering',
	    'TFDistilBertForSequenceClassification',
	    'TFDistilBertForTokenClassification',
	    'TFDistilBertMainLayer',
	    'TFDistilBertModel',
	    'TFDistilBertPreTrainedModel',
	]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:   Any      =    [
	    'FlaxDistilBertForMaskedLM',
	    'FlaxDistilBertForMultipleChoice',
	    'FlaxDistilBertForQuestionAnswering',
	    'FlaxDistilBertForSequenceClassification',
	    'FlaxDistilBertForTokenClassification',
	    'FlaxDistilBertModel',
	    'FlaxDistilBertPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_distilbert import (
	    DISTILBERT_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    DistilBertConfig,
	    DistilBertOnnxConfig,
	)
	from .tokenization_distilbert import DistilBertTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_distilbert_fast import DistilBertTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_distilbert import (
		    DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    DistilBertForMaskedLM,
		    DistilBertForMultipleChoice,
		    DistilBertForQuestionAnswering,
		    DistilBertForSequenceClassification,
		    DistilBertForTokenClassification,
		    DistilBertModel,
		    DistilBertPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_distilbert import (
		    TF_DISTILBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFDistilBertForMaskedLM,
		    TFDistilBertForMultipleChoice,
		    TFDistilBertForQuestionAnswering,
		    TFDistilBertForSequenceClassification,
		    TFDistilBertForTokenClassification,
		    TFDistilBertMainLayer,
		    TFDistilBertModel,
		    TFDistilBertPreTrainedModel,
		)

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_distilbert import (
		    FlaxDistilBertForMaskedLM,
		    FlaxDistilBertForMultipleChoice,
		    FlaxDistilBertForQuestionAnswering,
		    FlaxDistilBertForSequenceClassification,
		    FlaxDistilBertForTokenClassification,
		    FlaxDistilBertModel,
		    FlaxDistilBertPreTrainedModel,
		)

else:
	import sys

	__snake_case							:   Tuple      =    _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






_a 						=      65_521





def lowerCAmelCase__(__snake_case							)				->      int:







	'''simple docstring'''







	lowerCamelCase__								=		1
	lowerCamelCase__								=		0
	for plain_chr in plain_text:
		lowerCamelCase__								=		(a + ord(__snake_case							)) % MOD_ADLER
		lowerCamelCase__								=		(b + a) % MOD_ADLER
	return (b << 16) | a



