


class 							lowerCamelCase   :  # Public class to implement a graph


	def __init__(    self				,     lowercase__				,     lowercase__				,     lowercase__):
							__UpperCAmelCase			:							Optional[int]	    =	row
							__UpperCAmelCase			:							Optional[int]	    =	col
							__UpperCAmelCase			:							int	    =	graph


	def  A(    self				,     lowercase__				,     lowercase__				,     lowercase__):
							return (
							    0 <= i < self.ROW
							    and 0 <= j < self.COL
							    and not visited[i][j]
							    and self.graph[i][j]
							)


	def  A(    self				,     lowercase__				,     lowercase__				,     lowercase__):
							__UpperCAmelCase			:							int	    =	[-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
							__UpperCAmelCase			:							Tuple	    =	[-1, 0, 1, -1, 1, -1, 0, 1]
							__UpperCAmelCase			:							Dict	    =	True  # Make those cells visited
							for k in range(8):
													if self.is_safe(i + row_nbr[k]				,     j + col_nbr[k]				,     __UpperCAmelCase):
																			self.diffs(i + row_nbr[k]				,     j + col_nbr[k]				,     __UpperCAmelCase)


	def  A(    self):  # And finally, count all islands.
							__UpperCAmelCase			:							Optional[int]	    =	[[False for j in range(self.COL)] for i in range(self.ROW)]
							__UpperCAmelCase			:							Union[str, Any]	    =	0
							for i in range(self.ROW):
													for j in range(self.COL):
																			if visited[i][j] is False and self.graph[i][j] == 1:
																									self.diffs(__UpperCAmelCase				,     __UpperCAmelCase				,     __UpperCAmelCase)
																									count += 1
							return count








"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__A											=						{"""configuration_sew""": ["""SEW_PRETRAINED_CONFIG_ARCHIVE_MAP""", """SEWConfig"""]}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A											=						[
      """SEW_PRETRAINED_MODEL_ARCHIVE_LIST""",
      """SEWForCTC""",
      """SEWForSequenceClassification""",
      """SEWModel""",
      """SEWPreTrainedModel""",
  ]

if TYPE_CHECKING:
  from .configuration_sew import SEW_PRETRAINED_CONFIG_ARCHIVE_MAP, SEWConfig

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_sew import (
        SEW_PRETRAINED_MODEL_ARCHIVE_LIST,
        SEWForCTC,
        SEWForSequenceClassification,
        SEWModel,
        SEWPreTrainedModel,
    )


else:
  import sys

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