






import math





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase					):




 '''simple docstring'''







 __lowercase             =  len(a_					)
 __lowercase             =  int(math.floor(math.sqrt(a_					)					)					)
 __lowercase             =  0
 while arr[min(a_				,  a_					) - 1] < x:
  __lowercase             =  step
  step += int(math.floor(math.sqrt(a_					)					)					)
  if prev >= n:
   return -1

 while arr[prev] < x:
  __lowercase             =  prev + 1
  if prev == min(a_				,  a_					):
   return -1
 if arr[prev] == x:
  return prev
 return -1


if __name__ == "__main__":
      __UpperCamelCase      :      Union[str, Any]     						=						input("""Enter numbers separated by a comma:\n""").strip()
      __UpperCamelCase      :      List[str]     						=						[int(item) for item in user_input.split(""",""")]
      __UpperCamelCase      :      Dict     						=						int(input("""Enter the number to be searched:\n"""))
      __UpperCamelCase      :      Tuple     						=						jump_search(arr, x)
      if res == -1:
            print("""Number not found!""")
      else:
            print(F'''Number {x} is at index {res}''')









# Copyright 2023 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


__UpperCamelCase      :      Any     						=						{"""configuration_mra""": ["""MRA_PRETRAINED_CONFIG_ARCHIVE_MAP""", """MraConfig"""]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase      :      Dict     						=						[
						    """MRA_PRETRAINED_MODEL_ARCHIVE_LIST""",
						    """MraForMaskedLM""",
						    """MraForMultipleChoice""",
						    """MraForQuestionAnswering""",
						    """MraForSequenceClassification""",
						    """MraForTokenClassification""",
						    """MraLayer""",
						    """MraModel""",
						    """MraPreTrainedModel""",
						]


if TYPE_CHECKING:
						from .configuration_mra import MRA_PRETRAINED_CONFIG_ARCHIVE_MAP, MraConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mra import (
												    MRA_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MraForMaskedLM,
												    MraForMultipleChoice,
												    MraForQuestionAnswering,
												    MraForSequenceClassification,
												    MraForTokenClassification,
												    MraLayer,
												    MraModel,
												    MraPreTrainedModel,
												)
else:
						import sys

						__UpperCamelCase      :      List[str]     						=						_LazyModule(__name__, globals()["""__file__"""], _import_structure)

