


import json
import os
import unittest

from transformers.models.roc_bert.tokenization_roc_bert import (
    VOCAB_FILES_NAMES,
    RoCBertBasicTokenizer,
    RoCBertTokenizer,
    RoCBertWordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english






@require_tokenizers
class     UpperCamelCase(  _a     ,							unittest.TestCase   ):
					snake_case_		:				List[str]										=	RoCBertTokenizer
					snake_case_		:				Optional[int]										=	None
					snake_case_		:				Optional[Any]										=	False
					snake_case_		:				List[str]										=	True
					snake_case_		:				List[str]										=	filter_non_english


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[Any]						)			->	Dict:




											'''simple docstring'''

											super().setUp()

											__snake_case				=		["[UNK]", "[CLS]", "[SEP]", "[PAD]", "[MASK]", "你", "好", "是", "谁", "a", "b", "c", "d"]
											__snake_case				=		{}
											__snake_case				=		{}
											for i, value in enumerate(SCREAMING_SNAKE_CASE						):
																	__snake_case				=		i
																	__snake_case				=		i
											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["vocab_file"]						)
											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["word_shape_file"]						)
											__snake_case				=		os.path.join(self.tmpdirname     ,    VOCAB_FILES_NAMES["word_pronunciation_file"]						)
											with open(self.vocab_file     ,    "w"     ,    encoding="utf-8"						) as vocab_writer:
																	vocab_writer.write("".join([x + "\n" for x in vocab_tokens]						)						)
											with open(self.word_shape_file     ,    "w"     ,    encoding="utf-8"						) as word_shape_writer:
																	json.dump(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    ensure_ascii=SCREAMING_SNAKE_CASE						)
											with open(self.word_pronunciation_file     ,    "w"     ,    encoding="utf-8"						) as word_pronunciation_writer:
																	json.dump(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    ensure_ascii=SCREAMING_SNAKE_CASE						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		self.tokenizer_class(self.vocab_file     ,    self.word_shape_file     ,    self.word_pronunciation_file						)

											__snake_case				=		tokenizer.tokenize("你好[SEP]你是谁"						)
											self.assertListEqual(SCREAMING_SNAKE_CASE     ,    ["你", "好", "[SEP]", "你", "是", "谁"]						)
											self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)     ,    [5, 6, 2, 5, 7, 8]						)
											self.assertListEqual(tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE						)     ,    [5, 6, 2, 5, 7, 8]						)
											self.assertListEqual(tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE						)     ,    [5, 6, 2, 5, 7, 8]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer()

											self.assertListEqual(tokenizer.tokenize("ah\u535A\u63A8zz"						)     ,    ["ah", "\u535A", "\u63A8", "zz"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]						)			->	List[Any]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "						)     ,    ["hello", "!", "how", "are", "you", "?"]						)
											self.assertListEqual(tokenizer.tokenize("H\u00E9llo"						)     ,    ["hello"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str						)			->	List[str]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE     ,    strip_accents=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "						)     ,    ["hällo", "!", "how", "are", "you", "?"]						)
											self.assertListEqual(tokenizer.tokenize("H\u00E9llo"						)     ,    ["h\u00E9llo"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[Any]						)			->	List[Any]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE     ,    strip_accents=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "						)     ,    ["hallo", "!", "how", "are", "you", "?"]						)
											self.assertListEqual(tokenizer.tokenize("H\u00E9llo"						)     ,    ["hello"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str						)			->	Optional[Any]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "						)     ,    ["hallo", "!", "how", "are", "you", "?"]						)
											self.assertListEqual(tokenizer.tokenize("H\u00E9llo"						)     ,    ["hello"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	Union[str, Any]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU?  "						)     ,    ["HeLLo", "!", "how", "Are", "yoU", "?"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		int						)			->	Optional[int]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE     ,    strip_accents=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "						)     ,    ["HäLLo", "!", "how", "Are", "yoU", "?"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[int]						)			->	int:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE     ,    strip_accents=SCREAMING_SNAKE_CASE						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHäLLo!how  \n Are yoU?  "						)     ,    ["HaLLo", "!", "how", "Are", "yoU", "?"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]						)			->	Optional[Any]:




											'''simple docstring'''

											__snake_case				=		RoCBertBasicTokenizer(do_lower_case=SCREAMING_SNAKE_CASE     ,    never_split=["[UNK]"]						)

											self.assertListEqual(
											    tokenizer.tokenize(" \tHeLLo!how  \n Are yoU? [UNK]"						)     ,    ["HeLLo", "!", "how", "Are", "yoU", "?", "[UNK]"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]						)			->	str:




											'''simple docstring'''

											__snake_case				=		["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

											__snake_case				=		{}
											for i, token in enumerate(SCREAMING_SNAKE_CASE						):
																	__snake_case				=		i
											__snake_case				=		RoCBertWordpieceTokenizer(vocab=SCREAMING_SNAKE_CASE     ,    unk_token="[UNK]"						)

											self.assertListEqual(tokenizer.tokenize(""						)     ,    []						)

											self.assertListEqual(tokenizer.tokenize("unwanted running"						)     ,    ["un", "##want", "##ed", "runn", "##ing"]						)

											self.assertListEqual(tokenizer.tokenize("unwantedX running"						)     ,    ["[UNK]", "runn", "##ing"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		str						)			->	Optional[Any]:




											'''simple docstring'''

											self.assertTrue(_is_whitespace(" "						)						)
											self.assertTrue(_is_whitespace("\t"						)						)
											self.assertTrue(_is_whitespace("\r"						)						)
											self.assertTrue(_is_whitespace("\n"						)						)
											self.assertTrue(_is_whitespace("\u00A0"						)						)

											self.assertFalse(_is_whitespace("A"						)						)
											self.assertFalse(_is_whitespace("-"						)						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Union[str, Any]						)			->	Optional[Any]:




											'''simple docstring'''

											self.assertTrue(_is_control("\u0005"						)						)

											self.assertFalse(_is_control("A"						)						)
											self.assertFalse(_is_control(" "						)						)
											self.assertFalse(_is_control("\t"						)						)
											self.assertFalse(_is_control("\r"						)						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Tuple						)			->	Tuple:




											'''simple docstring'''

											self.assertTrue(_is_punctuation("-"						)						)
											self.assertTrue(_is_punctuation("$"						)						)
											self.assertTrue(_is_punctuation("`"						)						)
											self.assertTrue(_is_punctuation("."						)						)

											self.assertFalse(_is_punctuation("A"						)						)
											self.assertFalse(_is_punctuation(" "						)						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Dict						)			->	Optional[int]:




											'''simple docstring'''

											__snake_case				=		self.get_tokenizer()

											# Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
											self.assertListEqual([tokenizer.tokenize(SCREAMING_SNAKE_CASE						) for t in ["Test", "\xad", "test"]]     ,    [["[UNK]"], [], ["[UNK]"]]						)

											if self.test_rust_tokenizer:
																	__snake_case				=		self.get_rust_tokenizer()
																	self.assertListEqual(
																	    [rust_tokenizer.tokenize(SCREAMING_SNAKE_CASE						) for t in ["Test", "\xad", "test"]]     ,    [["[UNK]"], [], ["[UNK]"]]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		Optional[Any]						)			->	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.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)

																							__snake_case				=		f'''A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'''
																							__snake_case				=		tokenizer_r.encode_plus(
																							    SCREAMING_SNAKE_CASE     ,    return_attention_mask=SCREAMING_SNAKE_CASE     ,    return_token_type_ids=SCREAMING_SNAKE_CASE     ,    return_offsets_mapping=SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE     ,    )

																							__snake_case				=		tokenizer_r.do_lower_case if hasattr(SCREAMING_SNAKE_CASE     ,    "do_lower_case"						) else False
																							__snake_case				=		(
																							    [
																							        ((0, 0), tokenizer_r.cls_token),
																							        ((0, 1), "A"),
																							        ((1, 2), ","),
																							        ((3, 5), "na"),
																							        ((5, 6), "##ï"),
																							        ((6, 8), "##ve"),
																							        ((9, 1_5), tokenizer_r.mask_token),
																							        ((1_6, 2_1), "Allen"),
																							        ((2_1, 2_3), "##NL"),
																							        ((2_3, 2_4), "##P"),
																							        ((2_5, 3_3), "sentence"),
																							        ((3_3, 3_4), "."),
																							        ((0, 0), tokenizer_r.sep_token),
																							    ]
																							    if not do_lower_case
																							    else [
																							        ((0, 0), tokenizer_r.cls_token),
																							        ((0, 1), "a"),
																							        ((1, 2), ","),
																							        ((3, 8), "naive"),
																							        ((9, 1_5), tokenizer_r.mask_token),
																							        ((1_6, 2_1), "allen"),
																							        ((2_1, 2_3), "##nl"),
																							        ((2_3, 2_4), "##p"),
																							        ((2_5, 3_3), "sentence"),
																							        ((3_3, 3_4), "."),
																							        ((0, 0), tokenizer_r.sep_token),
																							    ]
																							)

																							self.assertEqual(
																							    [e[1] for e in expected_results]     ,    tokenizer_r.convert_ids_to_tokens(tokens["input_ids"]						)						)
																							self.assertEqual([e[0] for e in expected_results]     ,    tokens["offset_mapping"]						)


					def 							SCREAMING_SNAKE_CASE_  (						self	:		List[str]						)			->	Tuple:




											'''simple docstring'''

											__snake_case				=		["的", "人", "有"]
											__snake_case				=		"".join(SCREAMING_SNAKE_CASE						)
											for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
																	with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''						):
																							__snake_case				=		True
																							__snake_case				=		self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)
																							__snake_case				=		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)

																							__snake_case				=		tokenizer_p.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer_r.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)

																							__snake_case				=		tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						)

																							# it is expected that each Chinese character is not preceded by "##"
																							self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)
																							self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)

																							__snake_case				=		False
																							__snake_case				=		self.rust_tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)
																							__snake_case				=		self.tokenizer_class.from_pretrained(SCREAMING_SNAKE_CASE     ,    **SCREAMING_SNAKE_CASE						)

																							__snake_case				=		tokenizer_r.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer_p.encode(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)

																							__snake_case				=		tokenizer_r.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer_p.convert_ids_to_tokens(SCREAMING_SNAKE_CASE						)

																							# it is expected that only the first Chinese character is not preceded by "##".
																							__snake_case				=		[
																							    f'''##{token}''' if idx != 0 else token for idx, token in enumerate(SCREAMING_SNAKE_CASE						)
																							]
																							self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)
																							self.assertListEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)


					@slow
					def 							SCREAMING_SNAKE_CASE_  (						self	:		int						)			->	Union[str, Any]:




											'''simple docstring'''

											__snake_case				=		self.tokenizer_class(self.vocab_file     ,    self.word_shape_file     ,    self.word_pronunciation_file						)

											__snake_case				=		tokenizer.encode("你好"     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer.encode("你是谁"     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)

											__snake_case				=		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE						)
											__snake_case				=		tokenizer.build_inputs_with_special_tokens(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)

											assert encoded_sentence == [1] + text + [2]
											assert encoded_pair == [1] + text + [2] + text_a + [2]






					def 							SCREAMING_SNAKE_CASE_  (						self	:		Any						)			->	Dict:




											'''simple docstring'''

											__snake_case				=		self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE						)
											for tokenizer in tokenizers:
																	with self.subTest(f'''{tokenizer.__class__.__name__}'''						):
																							__snake_case				=		"你好，你是谁"
																							__snake_case				=		tokenizer.tokenize(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer.convert_tokens_to_shape_ids(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer.convert_tokens_to_pronunciation_ids(SCREAMING_SNAKE_CASE						)
																							__snake_case				=		tokenizer.prepare_for_model(
																							    SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)

																							__snake_case				=		tokenizer.encode_plus(SCREAMING_SNAKE_CASE     ,    add_special_tokens=SCREAMING_SNAKE_CASE						)

																							self.assertEqual(SCREAMING_SNAKE_CASE     ,    SCREAMING_SNAKE_CASE						)









from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff





def 	_lowerCAmelCase       (    _lowerCAmelCase      ,	_lowerCAmelCase      ,	_lowerCAmelCase = 10**-10 )						->	float:


						'''simple docstring'''






						__snake_case				=		a
						while True:
												__snake_case				=		Decimal(_lowerCAmelCase ) - (
												    Decimal(eval(_lowerCAmelCase ) ) / Decimal(eval(str(diff(_lowerCAmelCase ) ) ) )  # noqa: S307
												)
												# This number dictates the accuracy of the answer
												if abs(eval(_lowerCAmelCase ) ) < precision:  # noqa: S307
																		return float(_lowerCAmelCase )


# Let's Execute
if __name__ == "__main__":
	# Find root of trigonometric function
	# Find value of pi
	print(f'''The root of sin(x) = 0 is {newton_raphson("sin(x)", 2)}''')
	# Find root of polynomial
	print(f'''The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}''')
	# Find Square Root of 5
	print(f'''The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}''')
	# Exponential Roots
	print(f'''The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}''')





