

import json
import os
import unittest

from transformers import HerbertTokenizer, HerbertTokenizerFast
from transformers.models.herbert.tokenization_herbert import VOCAB_FILES_NAMES
from transformers.testing_utils import get_tests_dir, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class      snake_case_      (					_a      ,			unittest.TestCase				):


							"""simple docstring"""





							__UpperCAmelCase      =HerbertTokenizer
							__UpperCAmelCase      =HerbertTokenizerFast
							__UpperCAmelCase      =True




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

												# Use a simpler test file without japanese/chinese characters
												with open(F"""{get_tests_dir()}/fixtures/sample_text_no_unicode.txt"""       ,    encoding='utf-8'				) as f_data:
																	__lowerCAmelCase       =				f_data.read().replace('\n\n'       ,    '\n'				).strip()

												__lowerCAmelCase       =				[
												    '<s>',
												    '</s>',
												    'l',
												    'o',
												    'w',
												    'e',
												    'r',
												    's',
												    't',
												    'i',
												    'd',
												    'n',
												    'w</w>',
												    'r</w>',
												    't</w>',
												    'lo',
												    'low',
												    'er</w>',
												    'low</w>',
												    'lowest</w>',
												    'newer</w>',
												    'wider</w>',
												    ',</w>',
												    '<unk>',
												]
												__lowerCAmelCase       =				dict(zip(_A       ,    range(len(_A				)				)				)				)
												__lowerCAmelCase       =				['l o 123', 'lo w 1456', 'e r</w> 1789', '']

												__lowerCAmelCase       =				os.path.join(self.tmpdirname       ,    VOCAB_FILES_NAMES['vocab_file']				)
												__lowerCAmelCase       =				os.path.join(self.tmpdirname       ,    VOCAB_FILES_NAMES['merges_file']				)
												with open(self.vocab_file       ,    'w'				) as fp:
																	fp.write(json.dumps(_A				)				)
												with open(self.merges_file       ,    'w'				) as fp:
																	fp.write('\n'.join(_A				)				)




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				'lower newer'
												__lowerCAmelCase       =				'lower newer'
												return input_text, output_text




							def 							A__	(			self				):
												__lowerCAmelCase       =				self.tokenizer_class(vocab_file=self.vocab_file       ,    merges_file=self.merges_file				)

												__lowerCAmelCase       =				'lower'
												__lowerCAmelCase       =				['low', 'er</w>']
												__lowerCAmelCase       =				tokenizer.tokenize(_A				)
												self.assertListEqual(_A       ,    _A				)

												__lowerCAmelCase       =				tokens + ['<unk>']
												__lowerCAmelCase       =				[1_6, 1_7, 2_3]
												self.assertListEqual(tokenizer.convert_tokens_to_ids(_A				)       ,    _A				)




							def 							A__	(			self				):
												if not self.test_rust_tokenizer:
																	return

												__lowerCAmelCase       =				self.get_tokenizer()
												__lowerCAmelCase       =				self.get_rust_tokenizer()

												__lowerCAmelCase       =				'lower,newer'

												__lowerCAmelCase       =				tokenizer.tokenize(_A				)
												__lowerCAmelCase       =				rust_tokenizer.tokenize(_A				)
												self.assertListEqual(_A       ,    _A				)

												__lowerCAmelCase       =				tokenizer.encode(_A       ,    add_special_tokens=_A				)
												__lowerCAmelCase       =				rust_tokenizer.encode(_A       ,    add_special_tokens=_A				)
												self.assertListEqual(_A       ,    _A				)

												__lowerCAmelCase       =				self.get_rust_tokenizer()
												__lowerCAmelCase       =				tokenizer.encode(_A				)
												__lowerCAmelCase       =				rust_tokenizer.encode(_A				)
												self.assertListEqual(_A       ,    _A				)




							@slow
							def 							A__	(			self				):
												__lowerCAmelCase       =				self.tokenizer_class.from_pretrained('allegro/herbert-base-cased'				)

												__lowerCAmelCase       =				tokenizer.encode('konstruowanie sekwencji'       ,    add_special_tokens=_A				)
												__lowerCAmelCase       =				tokenizer.encode('konstruowanie wielu sekwencji'       ,    add_special_tokens=_A				)

												__lowerCAmelCase       =				tokenizer.build_inputs_with_special_tokens(_A				)
												__lowerCAmelCase       =				tokenizer.build_inputs_with_special_tokens(_A       ,    _A				)

												assert encoded_sentence == [0] + text + [2]
												assert encoded_pair == [0] + text + [2] + text_a + [2]









# Copyright 2022 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import os
from typing import List


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__   ):

					"""simple docstring"""






					if name != "training_function" and name != "main":
										raise ValueError(F"""Incorrect function name passed: {name}, choose either 'main' or 'training_function'"""   )
					__lowerCAmelCase,						__lowerCAmelCase       =				[], False
					for line in lines:
										if not found_start and F"""def {name}""" in line:
															__lowerCAmelCase       =				True
															good_lines.append(UpperCAmelCase__   )
															continue
										if found_start:
															if name == "training_function" and "def main" in line:
																				return good_lines
															if name == "main" and "if __name__" in line:
																				return good_lines
															good_lines.append(UpperCAmelCase__   )


def 							__lowercase     (	UpperCAmelCase__   ):

					"""simple docstring"""






					return [line for line in lines if not line.lstrip().startswith('#'   ) and line != "\n"]


def 							__lowercase     (	UpperCAmelCase__		,       UpperCAmelCase__		,       UpperCAmelCase__		,       UpperCAmelCase__ = None   ):

					"""simple docstring"""






					with open(UpperCAmelCase__		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					with open(os.path.abspath(os.path.join('examples'		,       'nlp_example.py'   )   )		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					with open(UpperCAmelCase__		,       'r'   ) as f:
										__lowerCAmelCase       =				f.readlines()
					if secondary_filename is not None:
										with open(UpperCAmelCase__		,       'r'   ) as f:
															__lowerCAmelCase       =				f.readlines()

    # This is our base, we remove all the code from here in our `full_filename` and `feature_filename` to find the new content
					if parser_only:
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
										if secondary_filename is not None:
															__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'main'   )   )
					else:
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										__lowerCAmelCase       =				clean_lines(get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )
										if secondary_filename is not None:
															__lowerCAmelCase       =				clean_lines(
															    get_function_contents_by_name(UpperCAmelCase__		,       'training_function'   )   )

					__lowerCAmelCase       =				'train_dataloader, eval_dataloader = get_dataloaders(accelerator, batch_size)\n'

					# Specific code in our script that differs from the full version, aka what is new
					__lowerCAmelCase       =				[]
					__lowerCAmelCase       =				[]  # We keep track of the idxs just in case it's a repeated statement
					__lowerCAmelCase       =				iter(UpperCAmelCase__   )
					for i in range(len(UpperCAmelCase__   ) - 1   ):
										if i not in passed_idxs:
															__lowerCAmelCase       =				next(UpperCAmelCase__   )
															if (line not in full_file_func) and (line.lstrip() != _dl_line):
																				if "TESTING_MOCKED_DATALOADERS" not in line:
																									new_feature_code.append(UpperCAmelCase__   )
																									passed_idxs.append(UpperCAmelCase__   )
																				else:
																									# Skip over the `config['num_epochs'] = 2` statement
																									__lowerCAmelCase       =				next(UpperCAmelCase__   )

    # Extract out just the new parts from the full_file_training_func
					__lowerCAmelCase       =				[]
					__lowerCAmelCase       =				[]  # We keep track of the idxs just in case it's a repeated statement
					for i, line in enumerate(UpperCAmelCase__   ):
										if i not in passed_idxs:
															if (line not in full_file_func) and (line.lstrip() != _dl_line):
																				if "TESTING_MOCKED_DATALOADERS" not in line:
																									new_full_example_parts.append(UpperCAmelCase__   )
																									passed_idxs.append(UpperCAmelCase__   )

    # Finally, get the overall diff
					__lowerCAmelCase       =				[line for line in new_feature_code if line not in new_full_example_parts]
					if secondary_filename is not None:
										__lowerCAmelCase       =				[line for line in full_file_contents if line not in secondary_file_func]
										__lowerCAmelCase       =				[line for line in diff_from_example if line not in diff_from_two]

					return diff_from_example






