


'''simple docstring'''







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 					lowercase_     (    SCREAMING_SNAKE_CASE__  ,						unittest.TestCase   ):
    __UpperCAmelCase   			=	RoCBertTokenizer
    __UpperCAmelCase   			=	None
    __UpperCAmelCase   			=	False
    __UpperCAmelCase   			=	True
    __UpperCAmelCase   			=	filter_non_english


    def    __a							(     self    ):
          super().setUp()

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


    def    __a							(     self    ):
          UpperCamelCase__										=				self.tokenizer_class(self.vocab_file  ,					self.word_shape_file  ,					self.word_pronunciation_file    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer()

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__  ,					strip_accents=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__  ,					strip_accents=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__  ,					strip_accents=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__  ,					strip_accents=A__    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				RoCBertBasicTokenizer(do_lower_case=A__  ,					never_split=["[UNK]"]    )

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


    def    __a							(     self    ):
          UpperCamelCase__										=				["[UNK]", "[CLS]", "[SEP]", "want", "##want", "##ed", "wa", "un", "runn", "##ing"]

          UpperCamelCase__										=				{}
          for i, token in enumerate(A__    ):
                UpperCamelCase__										=				i
          UpperCamelCase__										=				RoCBertWordpieceTokenizer(vocab=A__  ,					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    __a							(     self    ):
          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    __a							(     self    ):
          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    __a							(     self    ):
          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    __a							(     self    ):
          UpperCamelCase__										=				self.get_tokenizer()

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

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


    def    __a							(     self    ):
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                      UpperCamelCase__										=				self.rust_tokenizer_class.from_pretrained(A__  ,					**A__    )

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

                      UpperCamelCase__										=				tokenizer_r.do_lower_case if hasattr(A__  ,					"do_lower_case"    ) else False
                      UpperCamelCase__										=				(
                          [
                              ((0, 0), tokenizer_r.cls_token),
                              ((0, 1), "A"),
                              ((1, 2), ","),
                              ((3, 5), "na"),
                              ((5, 6), "##ï"),
                              ((6, 8), "##ve"),
                              ((9, 15), tokenizer_r.mask_token),
                              ((16, 21), "Allen"),
                              ((21, 23), "##NL"),
                              ((23, 24), "##P"),
                              ((25, 33), "sentence"),
                              ((33, 34), "."),
                              ((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, 15), tokenizer_r.mask_token),
                              ((16, 21), "allen"),
                              ((21, 23), "##nl"),
                              ((23, 24), "##p"),
                              ((25, 33), "sentence"),
                              ((33, 34), "."),
                              ((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    __a							(     self    ):
          UpperCamelCase__										=				["的", "人", "有"]
          UpperCamelCase__										=				"".join(A__    )
          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
                with self.subTest(f'''{tokenizer.__class__.__name__} ({pretrained_name})'''    ):
                      UpperCamelCase__										=				True
                      UpperCamelCase__										=				self.tokenizer_class.from_pretrained(A__  ,					**A__    )
                      UpperCamelCase__										=				self.rust_tokenizer_class.from_pretrained(A__  ,					**A__    )

                      UpperCamelCase__										=				tokenizer_p.encode(A__  ,					add_special_tokens=A__    )
                      UpperCamelCase__										=				tokenizer_r.encode(A__  ,					add_special_tokens=A__    )

                      UpperCamelCase__										=				tokenizer_r.convert_ids_to_tokens(A__    )
                      UpperCamelCase__										=				tokenizer_p.convert_ids_to_tokens(A__    )

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

                      UpperCamelCase__										=				False
                      UpperCamelCase__										=				self.rust_tokenizer_class.from_pretrained(A__  ,					**A__    )
                      UpperCamelCase__										=				self.tokenizer_class.from_pretrained(A__  ,					**A__    )

                      UpperCamelCase__										=				tokenizer_r.encode(A__  ,					add_special_tokens=A__    )
                      UpperCamelCase__										=				tokenizer_p.encode(A__  ,					add_special_tokens=A__    )

                      UpperCamelCase__										=				tokenizer_r.convert_ids_to_tokens(A__    )
                      UpperCamelCase__										=				tokenizer_p.convert_ids_to_tokens(A__    )

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


    @slow
    def    __a							(     self    ):
          UpperCamelCase__										=				self.tokenizer_class(self.vocab_file  ,					self.word_shape_file  ,					self.word_pronunciation_file    )

          UpperCamelCase__										=				tokenizer.encode("你好"  ,					add_special_tokens=A__    )
          UpperCamelCase__										=				tokenizer.encode("你是谁"  ,					add_special_tokens=A__    )

          UpperCamelCase__										=				tokenizer.build_inputs_with_special_tokens(A__    )
          UpperCamelCase__										=				tokenizer.build_inputs_with_special_tokens(A__  ,					A__    )

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


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

                      UpperCamelCase__										=				tokenizer.encode_plus(A__  ,					add_special_tokens=A__    )

                      self.assertEqual(A__  ,					A__    )







from __future__ import annotations

lowercase__		:Any   =    1.60_21E-19  # units = C



def        UpperCamelCase    (							lowerCAmelCase__ ,			lowerCAmelCase__ ,			lowerCAmelCase__ ,			):
					'''simple docstring'''
					if (conductivity, electron_conc, mobility).count(0		) != 1:
										raise ValueError('''You cannot supply more or less than 2 values'''		)
					elif conductivity < 0:
										raise ValueError('''Conductivity cannot be negative'''		)
					elif electron_conc < 0:
										raise ValueError('''Electron concentration cannot be negative'''		)
					elif mobility < 0:
										raise ValueError('''mobility cannot be negative'''		)
					elif conductivity == 0:
										return (
										    "conductivity",
										    mobility * electron_conc * ELECTRON_CHARGE,
										)
					elif electron_conc == 0:
										return (
										    "electron_conc",
										    conductivity / (mobility * ELECTRON_CHARGE),
										)
					else:
										return (
										    "mobility",
										    conductivity / (electron_conc * ELECTRON_CHARGE),
										)


if __name__ == "__main__":
							import doctest

							doctest.testmod()




