




import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 		__A   (      UpperCamelCase__       ,    unittest.TestCase      ):
						UpperCamelCase      =       MgpstrTokenizer
						UpperCamelCase      =       False
						UpperCamelCase      =       {}
						UpperCamelCase      =       False

						def      A__    (		self :Tuple			):
										'''simple docstring'''

										super().setUp()

										# fmt: off
										__magic_name__						:						int										=["""[GO]""", """[s]""", """0""", """1""", """2""", """3""", """4""", """5""", """6""", """7""", """8""", """9""", """a""", """b""", """c""", """d""", """e""", """f""", """g""", """h""", """i""", """j""", """k""", """l""", """m""", """n""", """o""", """p""", """q""", """r""", """s""", """t""", """u""", """v""", """w""", """x""", """y""", """z"""]
										# fmt: on
										__magic_name__						:						Union[str, Any]										=dict(zip(__snake_case     ,			range(len(__snake_case			)			)			)			)

										__magic_name__						:						Optional[int]										=os.path.join(self.tmpdirname     ,			VOCAB_FILES_NAMES["""vocab_file"""]			)
										with open(self.vocab_file     ,			"""w"""     ,			encoding="""utf-8"""			) as fp:
														fp.write(json.dumps(__snake_case			) + """\n"""			)

						def      A__    (		self :str     ,			**__snake_case :Tuple			):
										'''simple docstring'''

										return MgpstrTokenizer.from_pretrained(self.tmpdirname     ,			**__snake_case			)

						def      A__    (		self :List[str]     ,			__snake_case :List[str]			):
										'''simple docstring'''

										__magic_name__						:						Optional[int]										="""tester"""
										__magic_name__						:						Any										="""tester"""
										return input_text, output_text

						@unittest.skip("""MGP-STR always lower cases letters."""			)
						def      A__    (		self :Dict			):
										'''simple docstring'''

										pass

						def      A__    (		self :Dict			):
										'''simple docstring'''

										__magic_name__						:						Tuple										=self.get_tokenizers(do_lower_case=__snake_case			)
										for tokenizer in tokenizers:
														with self.subTest(f"{tokenizer.__class__.__name__}"			):
																		__magic_name__						:						Union[str, Any]										="""[SPECIAL_TOKEN]"""

																		tokenizer.add_special_tokens({"""cls_token""": special_token}			)
																		__magic_name__						:						Optional[Any]										=tokenizer.encode([special_token]     ,			add_special_tokens=__snake_case			)
																		self.assertEqual(len(__snake_case			)     ,			1			)

																		__magic_name__						:						int										=tokenizer.decode(__snake_case     ,			skip_special_tokens=__snake_case			)
																		self.assertTrue(special_token not in decoded			)

						def      A__    (		self :List[Any]			):
										'''simple docstring'''

										__magic_name__						:						int										=self.get_tokenizers()
										for tokenizer in tokenizers:
														with self.subTest(f"{tokenizer.__class__.__name__}"			):
																		__magic_name__					,			__magic_name__						:						List[str]										=self.get_input_output_texts(__snake_case			)

																		__magic_name__						:						Dict										=tokenizer.tokenize(__snake_case			)
																		__magic_name__						:						Union[str, Any]										=tokenizer.convert_tokens_to_ids(__snake_case			)
																		__magic_name__						:						Dict										=tokenizer.encode(__snake_case     ,			add_special_tokens=__snake_case			)
																		self.assertListEqual(__snake_case     ,			__snake_case			)

																		__magic_name__						:						Tuple										=tokenizer.convert_ids_to_tokens(__snake_case			)
																		self.assertNotEqual(len(__snake_case			)     ,			0			)
																		__magic_name__						:						Optional[Any]										=tokenizer.decode(__snake_case			)
																		self.assertIsInstance(__snake_case     ,			__snake_case			)

																		self.assertEqual(text_a.replace(""" """     ,			""""""			)     ,			__snake_case			)

						@unittest.skip("""MGP-STR tokenizer only handles one sequence."""			)
						def      A__    (		self :Tuple			):
										'''simple docstring'''

										pass


						@unittest.skip("""inputs cannot be pretokenized in MgpstrTokenizer"""			)
						def      A__    (		self :Union[str, Any]			):
										'''simple docstring'''

										pass










from collections.abc import Callable
from math import pi, sqrt
from random import uniform
from statistics import mean




def 		lowerCAmelCase_ (						lowerCamelCase ):

				# A local function to see if a dot lands in the circle.
				def is_in_circle(lowerCamelCase						,  lowerCamelCase ) -> bool:
								__magic_name__						:						Dict										=sqrt((x**2) + (y**2) )
								# Our circle has a radius of 1, so a distance
								# greater than 1 would land outside the circle.
								return distance_from_centre <= 1

				# The proportion of guesses that landed in the circle
				__magic_name__						:						Union[str, Any]										=mean(
				    int(is_in_circle(uniform(-1.0						,  1.0 )						,  uniform(-1.0						,  1.0 ) ) )
				    for _ in range(lowerCamelCase ) )
				# The ratio of the area for circle to square is pi/4.
				__magic_name__						:						List[Any]										=proportion * 4
				print(F"The estimated value of pi is {pi_estimate}" )
				print(F"The numpy value of pi is {pi}" )
				print(F"The total error is {abs(pi - pi_estimate )}" )




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase = 0.0						,  lowerCamelCase = 1.0						,  ):
				return mean(
				    function_to_integrate(uniform(lowerCamelCase						,  lowerCamelCase ) ) for _ in range(lowerCamelCase ) ) * (max_value - min_value)




def 		lowerCAmelCase_ (						lowerCamelCase						,  lowerCamelCase = 0.0						,  lowerCamelCase = 1.0 ):

				def identity_function(lowerCamelCase ) -> float:
								return x

				__magic_name__						:						Optional[int]										=area_under_curve_estimator(
				    lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase						,  lowerCamelCase )
				__magic_name__						:						str										=(max_value * max_value - min_value * min_value) / 2

				print("""******************""" )
				print(F"Estimating area under y=x where x varies from {min_value} to {max_value}" )
				print(F"Estimated value is {estimated_value}" )
				print(F"Expected value is {expected_value}" )
				print(F"Total error is {abs(estimated_value - expected_value )}" )
				print("""******************""" )




def 		lowerCAmelCase_ (						lowerCamelCase ):

				def function_to_integrate(lowerCamelCase ) -> float:
								return sqrt(4.0 - x * x )

				__magic_name__						:						Dict										=area_under_curve_estimator(
				    lowerCamelCase						,  lowerCamelCase						,  0.0						,  2.0 )

				print("""******************""" )
				print("""Estimating pi using area_under_curve_estimator""" )
				print(F"Estimated value is {estimated_value}" )
				print(F"Expected value is {pi}" )
				print(F"Total error is {abs(estimated_value - pi )}" )
				print("""******************""" )


if __name__ == "__main__":
							import doctest

							doctest.testmod()




