




import random
import sys

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.colors import ListedColormap

__lowerCAmelCase	:       List[str]     =	'Usage of script: script_name <size_of_canvas:int>'

__lowerCAmelCase	:       Tuple     =	[0] * 100 + [1] * 10
random.shuffle(choice)




def     __magic_name__       (				A	:      int     ):






			'''simple docstring'''







			a					=    [[False for i in range(A     )] for j in range(A     )]
			return canvas




def     __magic_name__       (				A	:      list[list[bool]]     ):






			'''simple docstring'''







			for i, row in enumerate(A     ):
						for j, _ in enumerate(A     ):
									a					=    bool(random.getrandbits(1     )     )




def     __magic_name__       (				A	:      list[list[bool]]     ):






			'''simple docstring'''







			a					=    np.array(A     )
			a					=    np.array(create_canvas(current_canvas.shape[0]     )     )
			for r, row in enumerate(A     ):
						for c, pt in enumerate(A     ):
									a					=    __judge_point(
									    A,						current_canvas[r - 1 : r + 2, c - 1 : c + 2]     )

			a					=    next_gen_canvas
			del next_gen_canvas  # cleaning memory as we move on.
			a					=    current_canvas.tolist()
			return return_canvas




def     __magic_name__       (				A	:      bool,						A	:      list[list[bool]]     ):






			'''simple docstring'''







			a					=    0
			a					=    0
			# finding dead or alive neighbours count.
			for i in neighbours:
						for status in i:
									if status:
												alive += 1
									else:
												dead += 1

    # handling duplicate entry for focus pt.
			if pt:
						alive -= 1
			else:
						dead -= 1

			# running the rules of game here.
			a					=    pt
			if pt:
						if alive < 2:
									a					=    False
						elif alive == 2 or alive == 3:
									a					=    True
						elif alive > 3:
									a					=    False
			else:
						if alive == 3:
									a					=    True

			return state


if __name__ == "__main__":
		if len(sys.argv) != 2:
				raise Exception(usage_doc)

		__lowerCAmelCase	:       int     =	int(sys.argv[1])
		# main working structure of this module.
		__lowerCAmelCase	:       Dict     =	create_canvas(canvas_size)
		seed(c)
		__lowerCAmelCase	:       Union[str, Any]     =	plt.subplots()
		fig.show()
		__lowerCAmelCase	:       Optional[int]     =	ListedColormap(['w', 'k'])
		try:
				while True:
						__lowerCAmelCase	:       List[str]     =	run(c)
						ax.matshow(c, cmap=cmap)
						fig.canvas.draw()
						ax.cla()
		except KeyboardInterrupt:
				# do nothing.
				pass












from typing import TYPE_CHECKING

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


__lowerCAmelCase	:       Dict     =	{
    'configuration_blip': [
        'BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BlipConfig',
        'BlipTextConfig',
        'BlipVisionConfig',
    ],
    'processing_blip': ['BlipProcessor'],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       Optional[Any]     =	['BlipImageProcessor']


try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       List[Any]     =	[
		    'BLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'BlipModel',
		    'BlipPreTrainedModel',
		    'BlipForConditionalGeneration',
		    'BlipForQuestionAnswering',
		    'BlipVisionModel',
		    'BlipTextModel',
		    'BlipForImageTextRetrieval',
		]

try:
		if not is_tf_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		__lowerCAmelCase	:       Any     =	[
		    'TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
		    'TFBlipModel',
		    'TFBlipPreTrainedModel',
		    'TFBlipForConditionalGeneration',
		    'TFBlipForQuestionAnswering',
		    'TFBlipVisionModel',
		    'TFBlipTextModel',
		    'TFBlipForImageTextRetrieval',
		]

if TYPE_CHECKING:
		from .configuration_blip import BLIP_PRETRAINED_CONFIG_ARCHIVE_MAP, BlipConfig, BlipTextConfig, BlipVisionConfig
		from .processing_blip import BlipProcessor

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .image_processing_blip import BlipImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_blip import (
				    BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    BlipForConditionalGeneration,
				    BlipForImageTextRetrieval,
				    BlipForQuestionAnswering,
				    BlipModel,
				    BlipPreTrainedModel,
				    BlipTextModel,
				    BlipVisionModel,
				)

		try:
				if not is_tf_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_tf_blip import (
				    TF_BLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
				    TFBlipForConditionalGeneration,
				    TFBlipForImageTextRetrieval,
				    TFBlipForQuestionAnswering,
				    TFBlipModel,
				    TFBlipPreTrainedModel,
				    TFBlipTextModel,
				    TFBlipVisionModel,
				)

else:
		import sys

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






