




import json
import os
import unittest

from transformers import CLIPTokenizer, CLIPTokenizerFast
from transformers.models.clip.tokenization_clip import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin
@require_tokenizers
class 		UpperCAmelCase   (				__A       ,   unittest.TestCase			):







						'''simple docstring'''





						lowerCAmelCase_     		=   CLIPTokenizer
						lowerCAmelCase_     		=   CLIPTokenizerFast
						lowerCAmelCase_     		=   True
						lowerCAmelCase_     		=   {}
						lowerCAmelCase_     		=   False






						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							super().setUp()

							# fmt: off
							snake_case_		    =     ["l", "o", "w", "e", "r", "s", "t", "i", "d", "n", "lo", "l</w>", "w</w>", "r</w>", "t</w>", "low</w>", "er</w>", "lowest</w>", "newer</w>", "wider", "<unk>", "<|startoftext|>", "<|endoftext|>"]
							# fmt: on
							snake_case_		    =     dict(zip(lowerCAmelCase_       ,	range(len(lowerCAmelCase_						)						)						)						)
							snake_case_		    =     ["#version: 0.2", "l o", "lo w</w>", "e r</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:
								fp.write(json.dumps(lowerCAmelCase_						) + "\n"						)
							with open(self.merges_file       ,	"w"       ,	encoding="utf-8"						) as fp:
								fp.write("\n".join(lowerCAmelCase_						)						)






						def        snake_case__						(						self							:     str       ,	**__lowercase							:     int						):






							"""simple docstring"""






							kwargs.update(self.special_tokens_map						)
							return CLIPTokenizer.from_pretrained(self.tmpdirname       ,	**lowerCAmelCase_						)






						def        snake_case__						(						self							:     Any       ,	**__lowercase							:     Dict						):






							"""simple docstring"""






							kwargs.update(self.special_tokens_map						)
							return CLIPTokenizerFast.from_pretrained(self.tmpdirname       ,	**lowerCAmelCase_						)






						def        snake_case__						(						self							:     Any       ,	__lowercase							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     "lower newer"
							snake_case_		    =     "lower newer"
							return input_text, output_text






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							snake_case_		    =     CLIPTokenizer(self.vocab_file       ,	self.merges_file       ,	**self.special_tokens_map						)
							snake_case_		    =     "lower newer"
							snake_case_		    =     ["lo", "w", "er</w>", "n", "e", "w", "er</w>"]
							snake_case_		    =     tokenizer.tokenize(lowerCAmelCase_						)
							self.assertListEqual(lowerCAmelCase_       ,	lowerCAmelCase_						)

							snake_case_		    =     tokens + [tokenizer.unk_token]
							snake_case_		    =     [10, 2, 16, 9, 3, 2, 16, 20]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCAmelCase_						)       ,	lowerCAmelCase_						)






						@require_ftfy
						def        snake_case__						(						self							:     Optional[Any]						):






							"""simple docstring"""






							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
									snake_case_		    =     self.tokenizer_class.from_pretrained(lowerCAmelCase_       ,	**lowerCAmelCase_						)
									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(lowerCAmelCase_       ,	**lowerCAmelCase_						)

									snake_case_		    =     "A\n'll 11p223RF☆ho!!to?'d'd''d of a cat to-$''d."
									snake_case_		    =     tokenizer_s.tokenize(lowerCAmelCase_						)
									snake_case_		    =     tokenizer_r.tokenize(lowerCAmelCase_						)

									self.assertListEqual(lowerCAmelCase_       ,	lowerCAmelCase_						)

									# Test that the tokenization is identical on an example containing a character (Latin Small Letter A
									# with Tilde) encoded in 2 different ways
									snake_case_		    =     "xa\u0303y" + " " + "x\xe3y"
									snake_case_		    =     tokenizer_s.tokenize(lowerCAmelCase_						)
									snake_case_		    =     tokenizer_r.tokenize(lowerCAmelCase_						)

									self.assertListEqual(lowerCAmelCase_       ,	lowerCAmelCase_						)

									# Test that the tokenization is identical on unicode of space type
									snake_case_		    =     [
									    "\u0009",  # (horizontal tab, '\t')
									    "\u000B",  # (vertical tab)
									    "\u000C",  # (form feed)
									    "\u0020",  # (space, ' ')
									    "\u200E",  # (left-to-right mark):w
									    "\u200F",  # (right-to-left mark)
									]
									for unicode_seq in spaces_unicodes:
										snake_case_		    =     tokenizer_s.tokenize(lowerCAmelCase_						)
										snake_case_		    =     tokenizer_r.tokenize(lowerCAmelCase_						)

										self.assertListEqual(lowerCAmelCase_       ,	lowerCAmelCase_						)

									# Test that the tokenization is identical on unicode of line break type
									snake_case_		    =     [
									    "\u000A",  # (line feed, '\n')
									    "\r\n",  # (carriage return and line feed, '\r\n')
									    "\u000D",  # (carriage return, '\r')
									    "\r",  # (carriage return, '\r')
									    "\u000D",  # (carriage return, '\r')
									    "\u2028",  # (line separator)
									    "\u2029",  # (paragraph separator)
									    # "\u0085", # (next line)
									]

									# The tokenization is not identical for the character "\u0085" (next line). The slow version using ftfy transforms
									# it into the Horizontal Ellipsis character "…" ("\u2026") while the fast version transforms it into a
									# space (and thus into an empty list).

									for unicode_seq in line_break_unicodes:
										snake_case_		    =     tokenizer_s.tokenize(lowerCAmelCase_						)
										snake_case_		    =     tokenizer_r.tokenize(lowerCAmelCase_						)

										self.assertListEqual(lowerCAmelCase_       ,	lowerCAmelCase_						)






						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
								with self.subTest(f"{tokenizer.__class__.__name__} ({pretrained_name})"						):
									snake_case_		    =     "hello"  # `hello` is a token in the vocabulary of `pretrained_name`
									snake_case_		    =     f"{text_of_1_token} {text_of_1_token}"

									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(
									    lowerCAmelCase_       ,	use_fast=lowerCAmelCase_       ,	)
									snake_case_		    =     tokenizer_r(lowerCAmelCase_       ,	return_offsets_mapping=lowerCAmelCase_       ,	add_special_tokens=lowerCAmelCase_						)
									self.assertEqual(encoding.offset_mapping[0]       ,	(0, len(lowerCAmelCase_						))						)
									self.assertEqual(
									    encoding.offset_mapping[1]       ,	(len(lowerCAmelCase_						) + 1, len(lowerCAmelCase_						) + 1 + len(lowerCAmelCase_						))       ,	)

									snake_case_		    =     f" {text}"

									snake_case_		    =     self.rust_tokenizer_class.from_pretrained(
									    lowerCAmelCase_       ,	use_fast=lowerCAmelCase_       ,	)
									snake_case_		    =     tokenizer_r(lowerCAmelCase_       ,	return_offsets_mapping=lowerCAmelCase_       ,	add_special_tokens=lowerCAmelCase_						)
									self.assertEqual(encoding.offset_mapping[0]       ,	(1, 1 + len(lowerCAmelCase_						))						)
									self.assertEqual(
									    encoding.offset_mapping[1]       ,	(1 + len(lowerCAmelCase_						) + 1, 1 + len(lowerCAmelCase_						) + 1 + len(lowerCAmelCase_						))       ,	)






						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							with self.assertRaises(lowerCAmelCase_						) as context:
								self.rust_tokenizer_class.from_pretrained("robot-test/old-clip-tokenizer"						)

							self.assertTrue(
							    context.exception.args[0].startswith(
							        "The `backend_tokenizer` provided does not match the expected format."						)						)






						@require_ftfy
						def        snake_case__						(						self							:     List[Any]						):






							"""simple docstring"""






							super().test_tokenization_python_rust_equals()






						def        snake_case__						(						self							:     str						):






							"""simple docstring"""






							pass








"""simple docstring"""
def 				snake_case      (   A__	,A__						):
			# "extended trapezoidal rule"
			# int(f) = dx/2 * (f1 + 2f2 + ... + fn)
			UpperCAmelCase_     : Dict			     =					(boundary[1] - boundary[0]) / steps
			UpperCAmelCase_     : Optional[int]			     =					boundary[0]
			UpperCAmelCase_     : str			     =					boundary[1]
			UpperCAmelCase_     : Tuple			     =					make_points(A__	,A__	,A__						)
			UpperCAmelCase_     : List[str]			     =					0.0
			y += (h / 2.0) * f(A__						)
			for i in x_i:
						# print(i)
						y += h * f(A__						)
			y += (h / 2.0) * f(A__						)
			return y

def 				snake_case      (   A__	,A__	,A__						):
			UpperCAmelCase_     : Union[str, Any]			     =					a + h
			while x < (b - h):
						yield x
						UpperCAmelCase_     : Optional[Any]			     =					x + h

def 				snake_case      (   A__						):  # enter your function here
			UpperCAmelCase_     : Dict			     =					(x - 0) * (x - 0)
			return y

def 				snake_case      (   ):
			UpperCAmelCase_     : Dict			     =					0.0  # Lower bound of integration
			UpperCAmelCase_     : Optional[int]			     =					1.0  # Upper bound of integration
			UpperCAmelCase_     : Dict			     =					10.0  # define number of steps or resolution
			UpperCAmelCase_     : List[Any]			     =					[a, b]  # define boundary of integration
			UpperCAmelCase_     : Union[str, Any]			     =					method_a(A__	,A__						)
			print(F"""y = {y}"""						)


if __name__ == "__main__":
			main()



