




import random
import sys

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

a_		:						Optional[Any]             =    "Usage of script: script_name <size_of_canvas:int>"

a_		:						List[Any]             =    [0] * 1_00 + [1] * 10
random.shuffle(choice)






def 				lowerCamelCase__				(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= [[False for i in range(__snake_case)] for j in range(__snake_case)]
			return canvas






def 				lowerCamelCase__				(_UpperCAmelCase):


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






def 				lowerCamelCase__				(_UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= np.array(__snake_case)
			SCREAMING_SNAKE_CASE						= np.array(create_canvas(current_canvas.shape[0]))
			for r, row in enumerate(__snake_case):
						for c, pt in enumerate(__snake_case):
									SCREAMING_SNAKE_CASE						= __judge_point(
									    __snake_case							,       current_canvas[r - 1 : r + 2, c - 1 : c + 2])

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






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase):
			SCREAMING_SNAKE_CASE						= 0
			SCREAMING_SNAKE_CASE						= 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.
			SCREAMING_SNAKE_CASE						= pt
			if pt:
						if alive < 2:
									SCREAMING_SNAKE_CASE						= False
						elif alive == 2 or alive == 3:
									SCREAMING_SNAKE_CASE						= True
						elif alive > 3:
									SCREAMING_SNAKE_CASE						= False
			else:
						if alive == 3:
									SCREAMING_SNAKE_CASE						= True

			return state


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

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












# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import doctest
import sys
import warnings
from os.path import abspath, dirname, join

import _pytest

from transformers.testing_utils import HfDoctestModule, HfDocTestParser


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
a_		:						List[str]             =    abspath(join(dirname(__file__), 'src'))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action='ignore', category=FutureWarning)






def 				lowerCamelCase__				(_UpperCAmelCase):
			config.addinivalue_line(
			    'markers'							,       'is_pt_tf_cross_test: mark test to run only when PT and TF interactions are tested')
			config.addinivalue_line(
			    'markers'							,       'is_pt_flax_cross_test: mark test to run only when PT and FLAX interactions are tested')
			config.addinivalue_line('markers'							,       'is_pipeline_test: mark test to run only when pipelines are tested')
			config.addinivalue_line('markers'							,       'is_staging_test: mark test to run only in the staging environment')
			config.addinivalue_line('markers'							,       'accelerate_tests: mark test that require accelerate')
			config.addinivalue_line('markers'							,       'tool_tests: mark the tool tests that are run on their specific schedule')






def 				lowerCamelCase__				(_UpperCAmelCase):
			from transformers.testing_utils import pytest_addoption_shared

			pytest_addoption_shared(_UpperCAmelCase)






def 				lowerCamelCase__				(_UpperCAmelCase):
			from transformers.testing_utils import pytest_terminal_summary_main

			SCREAMING_SNAKE_CASE						= terminalreporter.config.getoption('--make-reports')
			if make_reports:
						pytest_terminal_summary_main(_UpperCAmelCase							,       id=_UpperCAmelCase)






def 				lowerCamelCase__				(_UpperCAmelCase							,       _UpperCAmelCase):
			# If no tests are collected, pytest exists with code 5, which makes the CI fail.
			if exitstatus == 5:
						SCREAMING_SNAKE_CASE						= 0


# Doctest custom flag to ignore output.
a_		:						List[Any]             =    doctest.register_optionflag('IGNORE_RESULT')

a_		:						Any             =    doctest.OutputChecker

class 		_snake_case  (  A__					):






			def    SCREAMING_SNAKE_CASE__    (       self		,					a		,					a		,					a)      ->       List[Any]:
						if IGNORE_RESULT & optionflags:
									return True
						return OutputChecker.check_output(self		,					a		,					a		,					a)



a_		:						int             =    CustomOutputChecker
a_		:						List[str]             =    HfDoctestModule







a_		:						Optional[int]             =    HfDocTestParser




