

"""simple docstring"""




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

import numpy
from matplotlib import pyplot

__A	:       List[Any]        =						0.25 + 0.0J
__A	:       Tuple        =						-0.4 + 0.6J
__A	:       List[Any]        =						-0.1 + 0.651J
__A	:       Union[str, Any]        =						-2.0
__A	:       Dict        =						56
__A	:       List[Any]        =						2.0
__A	:       Optional[Any]        =						6_66
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					return numpy.exp(lowercase__ ) + c_parameter
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					return z_values * z_values + c_parameter
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__ ):
					"""simple docstring"""
					A     =   numpy.linspace(-window_size     ,				lowercase__     ,				lowercase__ )
					A     =   x.reshape((nb_pixels, 1) )
					A     =   numpy.linspace(-window_size     ,				lowercase__     ,				lowercase__ )
					A     =   y.reshape((1, nb_pixels) )
					return x + 1.0J * y
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__     ,				lowercase__     ,				lowercase__     ,				lowercase__ = None     ,				):
					"""simple docstring"""
					A     =   z_a.astype("complex64" )
					for _ in range(lowercase__ ):
										A     =   eval_function(lowercase__     ,				lowercase__ )
										if infinity is not None:
															numpy.nan_to_num(lowercase__     ,				copy=lowercase__     ,				nan=lowercase__ )
															A     =   infinity
					return z_n
def   __SCREAMING_SNAKE_CASE		(		lowercase__     ,				lowercase__     ,				lowercase__     ,				lowercase__     ,				):
					"""simple docstring"""
					A     =   (abs(lowercase__ )).transpose()
					A     =   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   __SCREAMING_SNAKE_CASE		(		):
					"""simple docstring"""
					warnings.filterwarnings(
					    "ignore"     ,				category=lowercase__     ,				message="overflow encountered in multiply" )
					warnings.filterwarnings(
					    "ignore"     ,				category=lowercase__     ,				message="invalid value encountered in multiply"     ,				)
					warnings.filterwarnings(
					    "ignore"     ,				category=lowercase__     ,				message="overflow encountered in absolute" )
					warnings.filterwarnings(
					    "ignore"     ,				category=lowercase__     ,				message="overflow encountered in exp" )


if __name__ == "__main__":
	__A	:       Optional[Any]        =						prepare_grid(window_size, nb_pixels)

	ignore_overflow_warnings()  # See file header for explanations

	__A	:       Optional[Any]        =						24
	__A	:       Optional[int]        =						2 * abs(c_cauliflower) + 1
	__A	:       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	:       Optional[Any]        =						64
	__A	:       List[str]        =						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	:       Any        =						1_61
	__A	:       Union[str, Any]        =						2 * abs(c_polynomial_a) + 1
	__A	:       int        =						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	:       str        =						12
	__A	:       List[str]        =						1_00_00.0
	__A	:       Dict        =						iterate_function(
	    eval_exponential,
	    c_exponential,
	    nb_iterations,
	    z_a + 2,
	    infinity=1.0E10,
	)
	show_results('e^z+c', c_exponential, escape_radius, z_final)








"""simple docstring"""




import os
import tempfile
import unittest
from typing import List

from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
from transformers.testing_utils import require_tokenizers
from transformers.tokenization_utils import PreTrainedTokenizer
from transformers.tokenization_utils_base import PreTrainedTokenizerBase





@require_tokenizers
class      __UpperCamelCase					(  unittest.TestCase		):
		SCREAMING_SNAKE_CASE														=       EsmTokenizer


		def    SCREAMING_SNAKE_CASE__  (self					:						Tuple):
							super().setUp()
							A     =   tempfile.mkdtemp()
							# fmt: off
							A     =   ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
							# fmt: on
							A     =   os.path.join(self.tmpdirname	,	VOCAB_FILES_NAMES["vocab_file"])
							with open(self.vocab_file	,	"w"	,	encoding="utf-8") as vocab_writer:
												vocab_writer.write("".join([x + "\n" for x in vocab_tokens]))


		def    SCREAMING_SNAKE_CASE__  (self					:						Any	,	**__SCREAMING_SNAKE_CASE					:						str):
							return [self.get_tokenizer(**__SCREAMING_SNAKE_CASE)]


		def    SCREAMING_SNAKE_CASE__  (self					:						Union[str, Any]	,	**__SCREAMING_SNAKE_CASE					:						Optional[Any]):
							return self.tokenizer_class.from_pretrained(self.tmpdirname	,	**__SCREAMING_SNAKE_CASE)


		def    SCREAMING_SNAKE_CASE__  (self					:						List[Any]):
							A     =   self.tokenizer_class(self.vocab_file)

							A     =   tokenizer.tokenize("LAGVS")
							self.assertListEqual(__SCREAMING_SNAKE_CASE	,	["L", "A", "G", "V", "S"])
							self.assertListEqual(tokenizer.convert_tokens_to_ids(__SCREAMING_SNAKE_CASE)	,	[4, 5, 6, 7, 8])


		def    SCREAMING_SNAKE_CASE__  (self					:						List[Any]):
							A     =   self.tokenizer_class(self.vocab_file)

							A     =   "LAGVS"
							self.assertListEqual(tokenizer.encode(__SCREAMING_SNAKE_CASE)	,	[0, 4, 5, 6, 7, 8, 2])


		def    SCREAMING_SNAKE_CASE__  (self					:						List[str]):
							A     =   self.tokenizer_class(self.vocab_file)

							A     =   ["LAGVS", "WCB"]
							A     =   tokenizer(__SCREAMING_SNAKE_CASE	,	padding=__SCREAMING_SNAKE_CASE)["input_ids"]

							self.assertListEqual(__SCREAMING_SNAKE_CASE	,	[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2]])


		def    SCREAMING_SNAKE_CASE__  (self					:						str):
							A     =   self.tokenizer_class(self.vocab_file)

							A     =   ["LAGVS", "WCB"]
							A     =   tokenizer(__SCREAMING_SNAKE_CASE	,	padding=__SCREAMING_SNAKE_CASE)["input_ids"]

							self.assertListEqual(__SCREAMING_SNAKE_CASE	,	[[0, 4, 5, 6, 7, 8, 2], [0, 2_2, 2_3, 2_5, 2, 1, 1]])


		def    SCREAMING_SNAKE_CASE__  (self					:						Tuple):
							A     =   self.get_tokenizers(fast=__SCREAMING_SNAKE_CASE)
							for tokenizer in tokenizers:
												with self.subTest(F"""{tokenizer.__class__.__name__}"""):
																	A     =   "<unk>"
																	A     =   "<mask>"

																	A     =   tokenizer.tokenize(__SCREAMING_SNAKE_CASE)
																	A     =   tokenizer.tokenize(__SCREAMING_SNAKE_CASE)

																	self.assertEqual(len(__SCREAMING_SNAKE_CASE)	,	1)
																	self.assertEqual(len(__SCREAMING_SNAKE_CASE)	,	1)
																	self.assertEqual(token_a[0]	,	__SCREAMING_SNAKE_CASE)
																	self.assertEqual(token_a[0]	,	__SCREAMING_SNAKE_CASE)





