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

import numpy
from matplotlib import pyplot

lowerCAmelCase__  	=      0.2_5 + 0.0j
lowerCAmelCase__  	=      -0.4 + 0.6j
lowerCAmelCase__  	=      -0.1 + 0.651j
lowerCAmelCase__  	=      -2.0
lowerCAmelCase__  	=      5_6
lowerCAmelCase__  	=      2.0
lowerCAmelCase__  	=      6_6_6

def 	__lowerCamelCase							(				__a    : complex      ,							__a    : numpy.ndarray		)      ->       numpy.ndarray:
	return numpy.exp(__a		) + c_parameter

def 	__lowerCamelCase							(				__a    : complex      ,							__a    : numpy.ndarray		)      ->       numpy.ndarray:
	return z_values * z_values + c_parameter

def 	__lowerCamelCase							(				__a    : float      ,							__a    : int		)      ->       numpy.ndarray:
	_lowercase   =numpy.linspace(-window_size      ,							__a      ,							__a		)
	_lowercase   =x.reshape((nb_pixels, 1)		)
	_lowercase   =numpy.linspace(-window_size      ,							__a      ,							__a		)
	_lowercase   =y.reshape((1, nb_pixels)		)
	return x + 1.0j * y

def 	__lowerCamelCase							(				__a    : Callable[[Any, numpy.ndarray], numpy.ndarray]      ,							__a    : Any      ,							__a    : int      ,							__a    : numpy.ndarray      ,							__a    : float | None = None      ,							)      ->       numpy.ndarray:
	_lowercase   =z_a.astype("complex64"		)
	for _ in range(__a		):
		_lowercase   =eval_function(__a      ,							__a		)
		if infinity is not None:
			numpy.nan_to_num(__a      ,							copy=__a      ,							nan=__a		)
			_lowercase   =infinity
	return z_n

def 	__lowerCamelCase							(				__a    : str      ,							__a    : Any      ,							__a    : float      ,							__a    : numpy.ndarray      ,							)      ->       None:
	_lowercase   =(abs(__a		)).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 	__lowerCamelCase							(				)      ->       None:
	warnings.filterwarnings(
	    "ignore"      ,							category=__a      ,							message="overflow encountered in multiply"		)
	warnings.filterwarnings(
	    "ignore"      ,							category=__a      ,							message="invalid value encountered in multiply"      ,							)
	warnings.filterwarnings(
	    "ignore"      ,							category=__a      ,							message="overflow encountered in absolute"		)
	warnings.filterwarnings(
	    "ignore"      ,							category=__a      ,							message="overflow encountered in exp"		)


if __name__ == "__main__":
						lowerCAmelCase__  	=      prepare_grid(window_size, nb_pixels)

						ignore_overflow_warnings()  # See file header for explanations

						lowerCAmelCase__  	=      2_4
						lowerCAmelCase__  	=      2 * abs(c_cauliflower) + 1
						lowerCAmelCase__  	=      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)

						lowerCAmelCase__  	=      6_4
						lowerCAmelCase__  	=      2 * abs(c_polynomial_a) + 1
						lowerCAmelCase__  	=      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)

						lowerCAmelCase__  	=      1_6_1
						lowerCAmelCase__  	=      2 * abs(c_polynomial_a) + 1
						lowerCAmelCase__  	=      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)

						lowerCAmelCase__  	=      1_2
						lowerCAmelCase__  	=      1_0_0_0_0.0
						lowerCAmelCase__  	=      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)





import sys

from transformers import AutoTokenizer


_SCREAMING_SNAKE_CASE:    Optional[int]     						=							sys.argv[1]
_SCREAMING_SNAKE_CASE:    int     						=							sys.argv[2]
_SCREAMING_SNAKE_CASE:    str     						=							int(sys.argv[3])

_SCREAMING_SNAKE_CASE:    Union[str, Any]     						=							0

_SCREAMING_SNAKE_CASE:    Any     						=							AutoTokenizer.from_pretrained(model_name_or_path)
max_len -= tokenizer.num_special_tokens_to_add()

with open(dataset, '''rt''') as f_p:
			for line in f_p:
						_SCREAMING_SNAKE_CASE:    Any     						=							line.rstrip()

						if not line:
									print(line)
									_SCREAMING_SNAKE_CASE:    str     						=							0
									continue

						_SCREAMING_SNAKE_CASE:    Optional[int]     						=							line.split()[0]

						_SCREAMING_SNAKE_CASE:    Tuple     						=							len(tokenizer.tokenize(token))

						# Token contains strange control characters like \x96 or \x95
						# Just filter out the complete line
						if current_subwords_len == 0:
									continue

						if (subword_len_counter + current_subwords_len) > max_len:
									print('''''')
									print(line)
									_SCREAMING_SNAKE_CASE:    Any     						=							current_subwords_len
									continue

						subword_len_counter += current_subwords_len

						print(line)

