
"""simple docstring"""







import os
import unittest

from transformers.models.phobert.tokenization_phobert import VOCAB_FILES_NAMES, PhobertTokenizer

from ...test_tokenization_common import TokenizerTesterMixin







class 							__magic_name__     (		lowercase__      ,		unittest.TestCase   ):
					_SCREAMING_SNAKE_CASE       :					List[str]     							=   PhobertTokenizer
					_SCREAMING_SNAKE_CASE       :					Dict     							=   False





					def 							lowerCAmelCase      (				self   :							str    ):
												super().setUp()

												# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
												__snake_case     			=       ["T@@", "i", "I", "R@@", "r", "e@@"]
												__snake_case     			=       dict(zip(snake_case_							,						range(len(snake_case_    )    )    )    )
												__snake_case     			=       ["#version: 0.2", "l à</w>"]
												__snake_case     			=       {"unk_token": "<unk>"}

												__snake_case     			=       os.path.join(self.tmpdirname							,						VOCAB_FILES_NAMES["vocab_file"]    )
												__snake_case     			=       os.path.join(self.tmpdirname							,						VOCAB_FILES_NAMES["merges_file"]    )

												with open(self.vocab_file							,						"w"							,						encoding="utf-8"    ) as fp:
																			for token in vocab_tokens:
																										fp.write(F'''{token} {vocab_tokens[token]}\n'''    )
												with open(self.merges_file							,						"w"							,						encoding="utf-8"    ) as fp:
																			fp.write("\n".join(snake_case_    )    )





					def 							lowerCAmelCase      (				self   :							Optional[Any]							,						**snake_case_   :							Optional[Any]    ):
												kwargs.update(self.special_tokens_map    )
												return PhobertTokenizer.from_pretrained(self.tmpdirname							,						**snake_case_    )





					def 							lowerCAmelCase      (				self   :							Tuple							,						snake_case_   :							Optional[Any]    ):
												__snake_case     			=       "Tôi là VinAI Research"
												__snake_case     			=       "T<unk> i <unk> <unk> <unk> <unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>"
												return input_text, output_text





					def 							lowerCAmelCase      (				self   :							Dict    ):
												__snake_case     			=       PhobertTokenizer(self.vocab_file							,						self.merges_file							,						**self.special_tokens_map    )
												__snake_case     			=       "Tôi là VinAI Research"
												__snake_case     			=       "T@@ ô@@ i l@@ à V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h".split()
												__snake_case     			=       tokenizer.tokenize(snake_case_    )
												print(snake_case_    )
												self.assertListEqual(snake_case_							,						snake_case_    )

												__snake_case     			=       tokens + [tokenizer.unk_token]

												__snake_case     			=       [4, 3, 5, 3, 3, 3, 3, 3, 3, 6, 7, 9, 3, 9, 3, 3, 3, 3, 3]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(snake_case_    )							,						snake_case_    )


"""simple docstring"""







from __future__ import annotations

from collections.abc import Callable
def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE							,    SCREAMING_SNAKE_CASE = 1_00							,    )  ->     float:







							"""simple docstring"""


							__snake_case     			=       x_start
							__snake_case     			=       fnc(SCREAMING_SNAKE_CASE )
							__snake_case     			=       0.0
							for _ in range(SCREAMING_SNAKE_CASE ):
														# Approximates small segments of curve as linear and solve
														# for trapezoidal area
														__snake_case     			=       (x_end - x_start) / steps + xa
														__snake_case     			=       fnc(SCREAMING_SNAKE_CASE )
														area += abs(fxa + fxa ) * (xa - xa) / 2
														# Increment step
														__snake_case     			=       xa
														__snake_case     			=       fxa
							return area


if __name__ == "__main__":
		def   __UpperCamelCase   (					SCREAMING_SNAKE_CASE )  ->     List[Any]:







									"""simple docstring"""


									return x**3 + x**2

		print("""f(x) = x^3 + x^2""")
		print("""The area between the curve, x = -5, x = 5 and the x axis is:""")
		_SCREAMING_SNAKE_CASE	       =      10
		while i <= 100_000:
				print(F"""with {i} steps: {trapezoidal_area(f, -5, 5, i)}""")
				i *= 10
