


'''simple docstring'''
import warnings
from collections.abc import Callable
from typing import Any

import numpy
from matplotlib import pyplot

__SCREAMING_SNAKE_CASE				:							Optional[int]		       =		0.25 + 0.0J
__SCREAMING_SNAKE_CASE				:							Tuple		       =		-0.4 + 0.6J
__SCREAMING_SNAKE_CASE				:							str		       =		-0.1 + 0.6_51J
__SCREAMING_SNAKE_CASE				:							Optional[int]		       =		-2.0
__SCREAMING_SNAKE_CASE				:							List[str]		       =		56
__SCREAMING_SNAKE_CASE				:							List[Any]		       =		2.0
__SCREAMING_SNAKE_CASE				:							Union[str, Any]		       =		666







def 			a_							(  UpperCamelCase_	,     UpperCamelCase_   ):
       return numpy.exp(UpperCamelCase__   ) + c_parameter







def 			a_							(  UpperCamelCase_	,     UpperCamelCase_   ):
       return z_values * z_values + c_parameter







def 			a_							(  UpperCamelCase_	,     UpperCamelCase_   ):
       A_ 						=		numpy.linspace(-window_size	,     UpperCamelCase__	,     UpperCamelCase__   )
       A_ 						=		x.reshape((nb_pixels, 1)   )
       A_ 						=		numpy.linspace(-window_size	,     UpperCamelCase__	,     UpperCamelCase__   )
       A_ 						=		y.reshape((1, nb_pixels)   )
       return x + 1.0J * y







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







def 			a_							(  UpperCamelCase_	,     UpperCamelCase_	,     UpperCamelCase_	,     UpperCamelCase_	,     ):
       A_ 						=		(abs(UpperCamelCase__   )).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 			a_							(  ):
       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__":
       __SCREAMING_SNAKE_CASE				:							Optional[int]		       =		prepare_grid(window_size, nb_pixels)

       ignore_overflow_warnings()  # See file header for explanations

       __SCREAMING_SNAKE_CASE				:							Optional[Any]		       =		24
       __SCREAMING_SNAKE_CASE				:							Optional[int]		       =		2 * abs(c_cauliflower) + 1
       __SCREAMING_SNAKE_CASE				:							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)

       __SCREAMING_SNAKE_CASE				:							Union[str, Any]		       =		64
       __SCREAMING_SNAKE_CASE				:							Optional[int]		       =		2 * abs(c_polynomial_a) + 1
       __SCREAMING_SNAKE_CASE				:							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)

       __SCREAMING_SNAKE_CASE				:							Optional[Any]		       =		161
       __SCREAMING_SNAKE_CASE				:							Optional[Any]		       =		2 * abs(c_polynomial_a) + 1
       __SCREAMING_SNAKE_CASE				:							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)

       __SCREAMING_SNAKE_CASE				:							Optional[int]		       =		12
       __SCREAMING_SNAKE_CASE				:							Optional[Any]		       =		1_0000.0
       __SCREAMING_SNAKE_CASE				:							List[str]		       =		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 argparse
import logging
import sys
from unittest.mock import patch

import run_glue_with_pabee

from transformers.testing_utils import TestCasePlus


logging.basicConfig(level=logging.DEBUG)

__SCREAMING_SNAKE_CASE				:							str		       =		logging.getLogger()







def 			a_							(  ):
							A_ 						=		argparse.ArgumentParser()
							parser.add_argument("-f"   )
							A_ 						=		parser.parse_args()
							return args.f







class 				__lowerCAmelCase      (      lowercase	):

						"""simple docstring"""






						def 							_UpperCAmelCase					(     self       :			List[Any]  ):
													A_ 						=		logging.StreamHandler(sys.stdout  )
													logger.addHandler(lowerCAmelCase  )

													A_ 						=		self.get_auto_remove_tmp_dir()
													A_ 						=		F"\n            run_glue_with_pabee.py\n            --model_type albert\n            --model_name_or_path albert-base-v2\n            --data_dir ./tests/fixtures/tests_samples/MRPC/\n            --output_dir {tmp_dir}\n            --overwrite_output_dir\n            --task_name mrpc\n            --do_train\n            --do_eval\n            --per_gpu_train_batch_size=2\n            --per_gpu_eval_batch_size=1\n            --learning_rate=2e-5\n            --max_steps=50\n            --warmup_steps=2\n            --seed=42\n            --max_seq_length=128\n            ".split()

													with patch.object(lowerCAmelCase   ,     "argv"   ,     lowerCAmelCase  ):
																				A_ 						=		run_glue_with_pabee.main()
																				for value in result.values():
																											self.assertGreaterEqual(lowerCAmelCase   ,     0.7_5  )





