






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

import numpy
from matplotlib import pyplot

lowercase__      :    Dict          =     0.2_5 + 0.0J
lowercase__      :    Optional[Any]          =     -0.4 + 0.6J
lowercase__      :    List[str]          =     -0.1 + 0.6_51J
lowercase__      :    str          =     -2.0
lowercase__      :    Any          =     5_6
lowercase__      :    int          =     2.0
lowercase__      :    Dict          =     6_6_6

def        SCREAMING_SNAKE_CASE_					(						snake_case__       ,  snake_case__							)					->     List[Any]:
							return numpy.exp(snake_case__							) + c_parameter

def        SCREAMING_SNAKE_CASE_					(						snake_case__       ,  snake_case__							)					->     List[str]:
							return z_values * z_values + c_parameter

def        SCREAMING_SNAKE_CASE_					(						snake_case__       ,  snake_case__							)					->     int:
							lowerCAmelCase     		=		numpy.linspace(-window_size       ,  snake_case__       ,  snake_case__							)
							lowerCAmelCase     		=		x.reshape((nb_pixels, 1)							)
							lowerCAmelCase     		=		numpy.linspace(-window_size       ,  snake_case__       ,  snake_case__							)
							lowerCAmelCase     		=		y.reshape((1, nb_pixels)							)
							return x + 1.0J * y

def        SCREAMING_SNAKE_CASE_					(						snake_case__       ,  snake_case__       ,  snake_case__       ,  snake_case__       ,  snake_case__ = None       ,  )					->     Optional[Any]:
							lowerCAmelCase     		=		z_a.astype('''complex64'''							)
							for _ in range(snake_case__							):
														lowerCAmelCase     		=		eval_function(snake_case__       ,  snake_case__							)
														if infinity is not None:
																					numpy.nan_to_num(snake_case__       ,  copy=snake_case__       ,  nan=snake_case__							)
																					lowerCAmelCase     		=		infinity
							return z_n

def        SCREAMING_SNAKE_CASE_					(						snake_case__       ,  snake_case__       ,  snake_case__       ,  snake_case__       ,  )					->     Union[str, Any]:
							lowerCAmelCase     		=		(abs(snake_case__							)).transpose()
							lowerCAmelCase     		=		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_					(						)					->     int:
							warnings.filterwarnings(
							    '''ignore'''       ,  category=snake_case__       ,  message='''overflow encountered in multiply'''							)
							warnings.filterwarnings(
							    '''ignore'''       ,  category=snake_case__       ,  message='''invalid value encountered in multiply'''       ,  )
							warnings.filterwarnings(
							    '''ignore'''       ,  category=snake_case__       ,  message='''overflow encountered in absolute'''							)
							warnings.filterwarnings(
							    '''ignore'''       ,  category=snake_case__       ,  message='''overflow encountered in exp'''							)


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

	ignore_overflow_warnings()  # See file header for explanations

	lowercase__      :    Any          =     2_4
	lowercase__      :    Any          =     2 * abs(c_cauliflower) + 1
	lowercase__      :    Dict          =     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)

	lowercase__      :    str          =     6_4
	lowercase__      :    Any          =     2 * abs(c_polynomial_a) + 1
	lowercase__      :    Dict          =     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)

	lowercase__      :    Dict          =     1_6_1
	lowercase__      :    List[str]          =     2 * abs(c_polynomial_a) + 1
	lowercase__      :    List[str]          =     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)

	lowercase__      :    Dict          =     1_2
	lowercase__      :    Tuple          =     1_0_0_0_0.0
	lowercase__      :    List[Any]          =     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)




# as due to their complexity multi-gpu tests could impact other tests, and to aid debug we have those in a separate module.

import os
import sys

from transformers.testing_utils import TestCasePlus, execute_subprocess_async, get_gpu_count, require_torch_gpu, slow

from .utils import load_json




class        lowercase_  (  UpperCamelCase_						):



	"""simple docstring"""





	@classmethod
	def       SCREAMING_SNAKE_CASE_    (							cls    )						->Union[str, Any]:
								return cls




	@slow
	@require_torch_gpu
	def       SCREAMING_SNAKE_CASE_    (							self    )						->int:
								lowerCAmelCase     		=		self.get_auto_remove_tmp_dir()
								lowerCAmelCase     		=		F"\n            --model_name Helsinki-NLP/opus-mt-en-ro\n            --save_dir {output_dir}\n            --data_dir {self.test_file_dir_str}/test_data/wmt_en_ro\n            --num_beams 2\n            --task translation\n        ".split()

								# we want this test to run even if there is only one GPU, but if there are more we use them all
								lowerCAmelCase     		=		get_gpu_count()
								lowerCAmelCase     		=		F"\n            -m torch.distributed.launch\n            --nproc_per_node={n_gpu}\n            {self.test_file_dir}/run_distributed_eval.py\n        ".split()
								lowerCAmelCase     		=		[sys.executable] + distributed_args + args
								execute_subprocess_async(__SCREAMING_SNAKE_CASE		,      env=self.get_env()    )

								lowerCAmelCase     		=		os.path.join(__SCREAMING_SNAKE_CASE		,      '''test_bleu.json'''    )
								lowerCAmelCase     		=		load_json(__SCREAMING_SNAKE_CASE    )
								# print(metrics)
								self.assertGreaterEqual(metrics['''bleu''']		,      25    )



