


import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

A :	Optional[int]												=     0.25 + 0.0j
A :	Tuple												=     -0.4 + 0.6j
A :	str												=     -0.1 + 0.6_5_1j
A :	Optional[int]												=     -2.0
A :	List[str]												=     5_6
A :	List[Any]												=     2.0
A :	Union[str, Any]												=     6_6_6






def 				UpperCamelCase      (			__magic_name__  :							complex					,					__magic_name__  :							numpy.ndarray  )     ->						Union[str, Any]:
		"""simple docstring"""




		return numpy.exp(UpperCamelCase__  ) + c_parameter






def 				UpperCamelCase      (			__magic_name__  :							complex					,					__magic_name__  :							numpy.ndarray  )     ->						str:
		"""simple docstring"""




		return z_values * z_values + c_parameter






def 				UpperCamelCase      (			__magic_name__  :							float					,					__magic_name__  :							int  )     ->						List[str]:
		"""simple docstring"""




		lowercase__      =	numpy.linspace(-window_size					,					UpperCamelCase__					,					UpperCamelCase__  )
		lowercase__      =	x.reshape((nb_pixels, 1)  )
		lowercase__      =	numpy.linspace(-window_size					,					UpperCamelCase__					,					UpperCamelCase__  )
		lowercase__      =	y.reshape((1, nb_pixels)  )
		return x + 1.0J * y






def 				UpperCamelCase      (			__magic_name__  :							Callable[[Any, numpy.ndarray], numpy.ndarray]					,					__magic_name__  :							Any					,					__magic_name__  :							int					,					__magic_name__  :							numpy.ndarray					,					__magic_name__  :							float | None = None					,					)     ->						List[Any]:
		"""simple docstring"""




		lowercase__      =	z_a.astype("""complex64"""  )
		for _ in range(UpperCamelCase__  ):
				lowercase__      =	eval_function(UpperCamelCase__					,					UpperCamelCase__  )
				if infinity is not None:
						numpy.nan_to_num(UpperCamelCase__					,					copy=UpperCamelCase__					,					nan=UpperCamelCase__  )
						lowercase__      =	infinity
		return z_n






def 				UpperCamelCase      (			__magic_name__  :							str					,					__magic_name__  :							Any					,					__magic_name__  :							float					,					__magic_name__  :							numpy.ndarray					,					)     ->						str:
		"""simple docstring"""




		lowercase__      =	(abs(UpperCamelCase__  )).transpose()
		lowercase__      =	abs_z_final[::-1, :]
		pyplot.matshow(abs_z_final < escape_radius  )
		pyplot.title(f'''Julia set of ${function_label}$, $c={function_params}$'''  )
		pyplot.show()






def 				UpperCamelCase      (			)     ->						Dict:
		"""simple docstring"""




		warnings.filterwarnings(
		    """ignore"""					,					category=UpperCamelCase__					,					message="""overflow encountered in multiply"""  )
		warnings.filterwarnings(
		    """ignore"""					,					category=UpperCamelCase__					,					message="""invalid value encountered in multiply"""					,					)
		warnings.filterwarnings(
		    """ignore"""					,					category=UpperCamelCase__					,					message="""overflow encountered in absolute"""  )
		warnings.filterwarnings(
		    """ignore"""					,					category=UpperCamelCase__					,					message="""overflow encountered in exp"""  )


if __name__ == "__main__":
	A :	Optional[int]												=     prepare_grid(window_size, nb_pixels)

	ignore_overflow_warnings()  # See file header for explanations

	A :	Optional[Any]												=     2_4
	A :	Optional[int]												=     2 * abs(c_cauliflower) + 1
	A :	Optional[int]												=     iterate_function(
	    eval_quadratic_polynomial,
	    c_cauliflower,
	    nb_iterations,
	    z_a,
	    infinity=1.1 * escape_radius,
	)
	show_results('z^2+c', c_cauliflower, escape_radius, z_final)

	A :	Union[str, Any]												=     6_4
	A :	Optional[int]												=     2 * abs(c_polynomial_a) + 1
	A :	Optional[Any]												=     iterate_function(
	    eval_quadratic_polynomial,
	    c_polynomial_a,
	    nb_iterations,
	    z_a,
	    infinity=1.1 * escape_radius,
	)
	show_results('z^2+c', c_polynomial_a, escape_radius, z_final)

	A :	Optional[Any]												=     1_6_1
	A :	Optional[Any]												=     2 * abs(c_polynomial_a) + 1
	A :	Union[str, Any]												=     iterate_function(
	    eval_quadratic_polynomial,
	    c_polynomial_a,
	    nb_iterations,
	    z_a,
	    infinity=1.1 * escape_radius,
	)
	show_results('z^2+c', c_polynomial_a, escape_radius, z_final)

	A :	Optional[int]												=     1_2
	A :	Optional[Any]												=     10_000.0
	A :	List[str]												=     iterate_function(
	    eval_exponential,
	    c_exponential,
	    nb_iterations,
	    z_a + 2,
	    infinity=1.0e1_0,
	)
	show_results('e^z+c', c_exponential, escape_radius, z_final)





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


A :	str												=     {
    'configuration_nystromformer': ['NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP', 'NystromformerConfig'],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A :	Optional[int]												=     [
	    'NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
	    'NystromformerForMaskedLM',
	    'NystromformerForMultipleChoice',
	    'NystromformerForQuestionAnswering',
	    'NystromformerForSequenceClassification',
	    'NystromformerForTokenClassification',
	    'NystromformerLayer',
	    'NystromformerModel',
	    'NystromformerPreTrainedModel',
	]


if TYPE_CHECKING:
	from .configuration_nystromformer import NYSTROMFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, NystromformerConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_nystromformer import (
		    NYSTROMFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    NystromformerForMaskedLM,
		    NystromformerForMultipleChoice,
		    NystromformerForQuestionAnswering,
		    NystromformerForSequenceClassification,
		    NystromformerForTokenClassification,
		    NystromformerLayer,
		    NystromformerModel,
		    NystromformerPreTrainedModel,
		)


else:
	import sys

	A :	Optional[int]												=     _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)

