



"""simple docstring"""







from typing import TYPE_CHECKING

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


A     =      {
    'configuration_realm': ['REALM_PRETRAINED_CONFIG_ARCHIVE_MAP', 'RealmConfig'],
    'tokenization_realm': ['RealmTokenizer'],
}

try:
							if not is_tokenizers_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A     =      ['RealmTokenizerFast']

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							A     =      [
							    'REALM_PRETRAINED_MODEL_ARCHIVE_LIST',
							    'RealmEmbedder',
							    'RealmForOpenQA',
							    'RealmKnowledgeAugEncoder',
							    'RealmPreTrainedModel',
							    'RealmReader',
							    'RealmScorer',
							    'load_tf_weights_in_realm',
							]
							A     =      ['RealmRetriever']


if TYPE_CHECKING:
							from .configuration_realm import REALM_PRETRAINED_CONFIG_ARCHIVE_MAP, RealmConfig
							from .tokenization_realm import RealmTokenizer

							try:
														if not is_tokenizers_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .tokenization_realm import RealmTokenizerFast

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_realm import (
														    REALM_PRETRAINED_MODEL_ARCHIVE_LIST,
														    RealmEmbedder,
														    RealmForOpenQA,
														    RealmKnowledgeAugEncoder,
														    RealmPreTrainedModel,
														    RealmReader,
														    RealmScorer,
														    load_tf_weights_in_realm,
														)
														from .retrieval_realm import RealmRetriever


else:
							import sys

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








"""simple docstring"""







def 	lowerCAmelCase__      (  lowerCamelCase__      )			->				list:
							for i, _ in enumerate(lowerCamelCase__      ):
														if (i % 2 == 1) == (nums[i - 1] > nums[i]):
																					A   ,	A    =       nums[i], nums[i - 1]

							return nums


if __name__ == "__main__":
							print('Enter the array elements:')
							A     =      list(map(int, input().split()))
							print('The unsorted array is:')
							print(array)
							print('Array after Wiggle sort:')
							print(wiggle_sort(array))



