
from __future__ import annotations


def      UpperCAmelCase_	(    __lowerCAmelCase						,       __lowerCAmelCase						)			->    List[str]:
    __lowercase		:      int						     =							get_failure_array(__A						)

    # 2) Step through text searching for pattern
    __lowercase		:      Any						     =							0, 0  # index into text, pattern
    while i < len(__A						):
        if pattern[j] == text[i]:
            if j == (len(__A						) - 1):
                return True
            j += 1

        # if this is a prefix in our pattern
        # just go back far enough to continue
        elif j > 0:
            __lowercase		:      Any						     =							failure[j - 1]
            continue
        i += 1
    return False


def      UpperCAmelCase_	(    __lowerCAmelCase						)			->    Dict:
    __lowercase		:      Optional[Any]						     =							[0]
    __lowercase		:      Any						     =							0
    __lowercase		:      int						     =							1
    while j < len(__A						):
        if pattern[i] == pattern[j]:
            i += 1
        elif i > 0:
            __lowercase		:      List[Any]						     =							failure[i - 1]
            continue
        j += 1
        failure.append(__A						)
    return failure


if __name__ == "__main__":
 # Test 1)
 __lowerCAmelCase       :      Union[str, Any]         =		"abc1abc12"
 __lowerCAmelCase       :      Any         =		"alskfjaldsabc1abc1abc12k23adsfabcabc"
 __lowerCAmelCase       :      str         =		"alskfjaldsk23adsfabcabc"
 assert kmp(pattern, texta) and not kmp(pattern, texta)

 # Test 2)
 __lowerCAmelCase       :      List[str]         =		"ABABX"
 __lowerCAmelCase       :      Optional[int]         =		"ABABZABABYABABX"
 assert kmp(pattern, text)

 # Test 3)
 __lowerCAmelCase       :      Tuple         =		"AAAB"
 __lowerCAmelCase       :      Any         =		"ABAAAAAB"
 assert kmp(pattern, text)

 # Test 4)
 __lowerCAmelCase       :      Dict         =		"abcdabcy"
 __lowerCAmelCase       :      List[Any]         =		"abcxabcdabxabcdabcdabcy"
 assert kmp(pattern, text)

 # Test 5)
 __lowerCAmelCase       :      int         =		"aabaabaaa"
 assert get_failure_array(pattern) == [0, 1, 0, 1, 2, 3, 4, 5, 2]










'''simple docstring'''







from typing import TYPE_CHECKING

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


__lowerCAmelCase									=   {'configuration_deit': ['DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DeiTConfig', 'DeiTOnnxConfig']}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase									=   ['DeiTFeatureExtractor']
		__lowerCAmelCase									=   ['DeiTImageProcessor']

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase									=   [
		    'DEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'DeiTForImageClassification',
		    'DeiTForImageClassificationWithTeacher',
		    'DeiTForMaskedImageModeling',
		    'DeiTModel',
		    'DeiTPreTrainedModel',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase									=   [
		    'TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TFDeiTForImageClassification',
		    'TFDeiTForImageClassificationWithTeacher',
		    'TFDeiTForMaskedImageModeling',
		    'TFDeiTModel',
		    'TFDeiTPreTrainedModel',
		]


if TYPE_CHECKING:
		from .configuration_deit import DEIT_PRETRAINED_CONFIG_ARCHIVE_MAP, DeiTConfig, DeiTOnnxConfig

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_deit import DeiTFeatureExtractor
				from .image_processing_deit import DeiTImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_deit import (
				    DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    DeiTForImageClassification,
				    DeiTForImageClassificationWithTeacher,
				    DeiTForMaskedImageModeling,
				    DeiTModel,
				    DeiTPreTrainedModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_deit import (
				    TF_DEIT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFDeiTForImageClassification,
				    TFDeiTForImageClassificationWithTeacher,
				    TFDeiTForMaskedImageModeling,
				    TFDeiTModel,
				    TFDeiTPreTrainedModel,
				)


else:
		import sys

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




