






'''simple docstring'''





import math



def        __snake_case						(__UpperCAmelCase       ,	__UpperCAmelCase    ):





	"""simple docstring"""
	lowerCamelCase_					:  List[Any]						=    len(SCREAMING_SNAKE_CASE__    )
	lowerCamelCase_					:  Any						=    int(math.floor(math.sqrt(SCREAMING_SNAKE_CASE__    )    )    )
	lowerCamelCase_					:  List[str]						=    0
	while arr[min(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__    ) - 1] < x:
		lowerCamelCase_					:  Union[str, Any]						=    step
		step += int(math.floor(math.sqrt(SCREAMING_SNAKE_CASE__    )    )    )
		if prev >= n:
			return -1

	while arr[prev] < x:
		lowerCamelCase_					:  int						=    prev + 1
		if prev == min(SCREAMING_SNAKE_CASE__       ,	SCREAMING_SNAKE_CASE__    ):
			return -1
	if arr[prev] == x:
		return prev
	return -1


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








'''simple docstring'''
from typing import TYPE_CHECKING

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


lowercase__						       =      {"configuration_encoder_decoder": ["EncoderDecoderConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["EncoderDecoderModel"]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["TFEncoderDecoderModel"]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["FlaxEncoderDecoderModel"]

if TYPE_CHECKING:
						from .configuration_encoder_decoder import EncoderDecoderConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_encoder_decoder import EncoderDecoderModel

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_encoder_decoder import TFEncoderDecoderModel

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_encoder_decoder import FlaxEncoderDecoderModel

else:
						import sys

						lowercase__						       =      _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


