


import json
import os
import re
import unittest

from transformers import CodeGenTokenizer, CodeGenTokenizerFast
from transformers.models.codegen.tokenization_codegen import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class        _a							(			UpperCamelCase__     ,	unittest.TestCase			):
							_lowercase	:			Any        = CodeGenTokenizer
							_lowercase	:			Dict        = CodeGenTokenizerFast
							_lowercase	:			List[str]        = True
							_lowercase	:			Dict        = {'''add_prefix_space''': True}
							_lowercase	:			str        = False

							def       lowerCamelCase_ (							self:	Optional[Any]							)			->   Tuple:





									"""simple docstring"""







									super().setUp()

									# Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
									lowercase__            =      [
									    '''l''',
									    '''o''',
									    '''w''',
									    '''e''',
									    '''r''',
									    '''s''',
									    '''t''',
									    '''i''',
									    '''d''',
									    '''n''',
									    '''\u0120''',
									    '''\u0120l''',
									    '''\u0120n''',
									    '''\u0120lo''',
									    '''\u0120low''',
									    '''er''',
									    '''\u0120lowest''',
									    '''\u0120newer''',
									    '''\u0120wider''',
									    '''<unk>''',
									    '''<|endoftext|>''',
									]
									lowercase__            =      dict(zip(UpperCamelCase_    ,						range(len(UpperCamelCase_							)							)							)							)
									lowercase__            =      ['''#version: 0.2''', '''\u0120 l''', '''\u0120l o''', '''\u0120lo w''', '''e r''', '''''']
									lowercase__            =      {'''unk_token''': '''<unk>'''}

									lowercase__            =      os.path.join(self.tmpdirname    ,						VOCAB_FILES_NAMES['''vocab_file''']							)
									lowercase__            =      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(UpperCamelCase_							) + '''\n'''							)
									with open(self.merges_file    ,						'''w'''    ,						encoding='''utf-8'''							) as fp:
											fp.write('''\n'''.join(UpperCamelCase_							)							)

							def       lowerCamelCase_ (							self:	Optional[int]    ,						**UpperCamelCase_:	Optional[Any]							)			->   Optional[int]:





									"""simple docstring"""







									kwargs.update(self.special_tokens_map							)
									return CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						**UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	int    ,						**UpperCamelCase_:	List[str]							)			->   Optional[int]:





									"""simple docstring"""







									kwargs.update(self.special_tokens_map							)
									return CodeGenTokenizerFast.from_pretrained(self.tmpdirname    ,						**UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Tuple    ,						UpperCamelCase_:	List[Any]							)			->   Tuple:





									"""simple docstring"""







									lowercase__            =      '''lower newer'''
									lowercase__            =      '''lower newer'''
									return input_text, output_text

							def       lowerCamelCase_ (							self:	Dict							)			->   Dict:





									"""simple docstring"""







									lowercase__            =      CodeGenTokenizer(self.vocab_file    ,						self.merges_file    ,						**self.special_tokens_map							)
									lowercase__            =      '''lower newer'''
									lowercase__            =      ['''\u0120low''', '''er''', '''\u0120''', '''n''', '''e''', '''w''', '''er''']
									lowercase__            =      tokenizer.tokenize(UpperCamelCase_    ,						add_prefix_space=UpperCamelCase_							)
									self.assertListEqual(UpperCamelCase_    ,						UpperCamelCase_							)

									lowercase__            =      tokens + [tokenizer.unk_token]
									lowercase__            =      [14, 15, 10, 9, 3, 2, 15, 19]
									self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCamelCase_							)    ,						UpperCamelCase_							)

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





									"""simple docstring"""







									if not self.test_rust_tokenizer:
											return

									lowercase__            =      self.get_tokenizer()
									lowercase__            =      self.get_rust_tokenizer(add_prefix_space=UpperCamelCase_							)

									lowercase__            =      '''lower newer'''

									# Testing tokenization
									lowercase__            =      tokenizer.tokenize(UpperCamelCase_    ,						add_prefix_space=UpperCamelCase_							)
									lowercase__            =      rust_tokenizer.tokenize(UpperCamelCase_							)
									self.assertListEqual(UpperCamelCase_    ,						UpperCamelCase_							)

									# Testing conversion to ids without special tokens
									lowercase__            =      tokenizer.encode(UpperCamelCase_    ,						add_special_tokens=UpperCamelCase_    ,						add_prefix_space=UpperCamelCase_							)
									lowercase__            =      rust_tokenizer.encode(UpperCamelCase_    ,						add_special_tokens=UpperCamelCase_							)
									self.assertListEqual(UpperCamelCase_    ,						UpperCamelCase_							)

									# Testing conversion to ids with special tokens
									lowercase__            =      self.get_rust_tokenizer(add_prefix_space=UpperCamelCase_							)
									lowercase__            =      tokenizer.encode(UpperCamelCase_    ,						add_prefix_space=UpperCamelCase_							)
									lowercase__            =      rust_tokenizer.encode(UpperCamelCase_							)
									self.assertListEqual(UpperCamelCase_    ,						UpperCamelCase_							)

									# Testing the unknown token
									lowercase__            =      tokens + [rust_tokenizer.unk_token]
									lowercase__            =      [14, 15, 10, 9, 3, 2, 15, 19]
									self.assertListEqual(rust_tokenizer.convert_tokens_to_ids(UpperCamelCase_							)    ,						UpperCamelCase_							)

							def       lowerCamelCase_ (							self:	Optional[int]    ,						*UpperCamelCase_:	int    ,						**UpperCamelCase_:	Optional[int]							)			->   Any:





									"""simple docstring"""







									pass

							def       lowerCamelCase_ (							self:	Dict    ,						UpperCamelCase_:	Tuple=15							)			->   Tuple:





									"""simple docstring"""







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

													# Simple input
													lowercase__            =      '''This is a simple input'''
													lowercase__            =      ['''This is a simple input 1''', '''This is a simple input 2''']
													lowercase__            =      ('''This is a simple input''', '''This is a pair''')
													lowercase__            =      [
													    ('''This is a simple input 1''', '''This is a simple input 2'''),
													    ('''This is a simple pair 1''', '''This is a simple pair 2'''),
													]

													# Simple input tests
													self.assertRaises(UpperCamelCase_    ,						tokenizer_r.encode    ,						UpperCamelCase_    ,						max_length=UpperCamelCase_    ,						padding='''max_length'''							)

													# Simple input
													self.assertRaises(UpperCamelCase_    ,						tokenizer_r.encode_plus    ,						UpperCamelCase_    ,						max_length=UpperCamelCase_    ,						padding='''max_length'''							)

													# Simple input
													self.assertRaises(
													    UpperCamelCase_    ,						tokenizer_r.batch_encode_plus    ,						UpperCamelCase_    ,						max_length=UpperCamelCase_    ,						padding='''max_length'''    ,						)

													# Pair input
													self.assertRaises(UpperCamelCase_    ,						tokenizer_r.encode    ,						UpperCamelCase_    ,						max_length=UpperCamelCase_    ,						padding='''max_length'''							)

													# Pair input
													self.assertRaises(UpperCamelCase_    ,						tokenizer_r.encode_plus    ,						UpperCamelCase_    ,						max_length=UpperCamelCase_    ,						padding='''max_length'''							)

													# Pair input
													self.assertRaises(
													    UpperCamelCase_    ,						tokenizer_r.batch_encode_plus    ,						UpperCamelCase_    ,						max_length=UpperCamelCase_    ,						padding='''max_length'''    ,						)

							def       lowerCamelCase_ (							self:	Dict							)			->   Optional[Any]:





									"""simple docstring"""







									lowercase__            =      CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						pad_token='''<pad>'''							)

									# Simple input
									lowercase__            =      '''This is a simple input'''
									lowercase__            =      ['''This is a simple input looooooooong''', '''This is a simple input''']
									lowercase__            =      ('''This is a simple input''', '''This is a pair''')
									lowercase__            =      [
									    ('''This is a simple input loooooong''', '''This is a simple input'''),
									    ('''This is a simple pair loooooong''', '''This is a simple pair'''),
									]

									lowercase__            =      tokenizer.pad_token_id

									lowercase__            =      tokenizer(UpperCamelCase_    ,						padding='''max_length'''    ,						max_length=30    ,						return_tensors='''np'''							)
									lowercase__            =      tokenizer(UpperCamelCase_    ,						padding=UpperCamelCase_    ,						truncate=UpperCamelCase_    ,						return_tensors='''np'''							)
									lowercase__            =      tokenizer(*UpperCamelCase_    ,						padding='''max_length'''    ,						max_length=60    ,						return_tensors='''np'''							)
									lowercase__            =      tokenizer(UpperCamelCase_    ,						padding=UpperCamelCase_    ,						truncate=UpperCamelCase_    ,						return_tensors='''np'''							)

									# s
									# test single string max_length padding
									self.assertEqual(out_s['''input_ids'''].shape[-1]    ,						30							)
									self.assertTrue(pad_token_id in out_s['''input_ids''']							)
									self.assertTrue(0 in out_s['''attention_mask''']							)

									# s2
									# test automatic padding
									self.assertEqual(out_sa['''input_ids'''].shape[-1]    ,						33							)
									# long slice doesn't have padding
									self.assertFalse(pad_token_id in out_sa['''input_ids'''][0]							)
									self.assertFalse(0 in out_sa['''attention_mask'''][0]							)
									# short slice does have padding
									self.assertTrue(pad_token_id in out_sa['''input_ids'''][1]							)
									self.assertTrue(0 in out_sa['''attention_mask'''][1]							)

									# p
									# test single pair max_length padding
									self.assertEqual(out_p['''input_ids'''].shape[-1]    ,						60							)
									self.assertTrue(pad_token_id in out_p['''input_ids''']							)
									self.assertTrue(0 in out_p['''attention_mask''']							)

									# p2
									# test automatic padding pair
									self.assertEqual(out_pa['''input_ids'''].shape[-1]    ,						52							)
									# long slice pair doesn't have padding
									self.assertFalse(pad_token_id in out_pa['''input_ids'''][0]							)
									self.assertFalse(0 in out_pa['''attention_mask'''][0]							)
									# short slice pair does have padding
									self.assertTrue(pad_token_id in out_pa['''input_ids'''][1]							)
									self.assertTrue(0 in out_pa['''attention_mask'''][1]							)

							def       lowerCamelCase_ (							self:	Optional[int]							)			->   str:





									"""simple docstring"""







									lowercase__            =      '''$$$'''
									lowercase__            =      CodeGenTokenizer.from_pretrained(self.tmpdirname    ,						bos_token=UpperCamelCase_    ,						add_bos_token=UpperCamelCase_							)

									lowercase__            =      '''This is a simple input'''
									lowercase__            =      ['''This is a simple input 1''', '''This is a simple input 2''']

									lowercase__            =      tokenizer.bos_token_id

									lowercase__            =      tokenizer(UpperCamelCase_							)
									lowercase__            =      tokenizer(UpperCamelCase_							)

									self.assertEqual(out_s.input_ids[0]    ,						UpperCamelCase_							)
									self.assertTrue(all(o[0] == bos_token_id for o in out_sa.input_ids							)							)

									lowercase__            =      tokenizer.decode(out_s.input_ids							)
									lowercase__            =      tokenizer.batch_decode(out_sa.input_ids							)

									self.assertEqual(decode_s.split()[0]    ,						UpperCamelCase_							)
									self.assertTrue(all(d.split()[0] == bos_token for d in decode_sa							)							)

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





									"""simple docstring"""







									lowercase__            =      CodeGenTokenizer.from_pretrained('''Salesforce/codegen-350M-mono'''							)

									lowercase__            =      '''\nif len_a > len_b:\n    result = a\nelse:\n    result = b\n\n\n\n#'''
									lowercase__            =      '''\nif len_a > len_b:      result = a\nelse:      result = b'''

									lowercase__            =      tokenizer.encode(UpperCamelCase_							)
									lowercase__            =      ['''^#''', re.escape('''<|endoftext|>'''							), '''^\'\'\'''', '''^"""''', '''\n\n\n''']
									lowercase__            =      tokenizer.decode(UpperCamelCase_    ,						truncate_before_pattern=UpperCamelCase_							)
									self.assertEqual(UpperCamelCase_    ,						UpperCamelCase_							)


							def       lowerCamelCase_ (							self:	Tuple							)			->   Optional[Any]:





									"""simple docstring"""







									pass






import os
import re
import shutil
from argparse import ArgumentParser, Namespace

from datasets.commands import BaseDatasetsCLICommand
from datasets.utils.logging import get_logger


lowerCAmelCase       =							'<<<<<<< This should probably be modified because it mentions: '

lowerCAmelCase       =							'=======\n>>>>>>>\n'

lowerCAmelCase       =							[
    'TextEncoderConfig',
    'ByteTextEncoder',
    'SubwordTextEncoder',
    'encoder_config',
    'maybe_build_from_corpus',
    'manual_dir',
]

lowerCAmelCase       =							[
    # (pattern, replacement)
    # Order is important here for some replacements
    (R'tfds\.core', R'datasets'),
    (R'tf\.io\.gfile\.GFile', R'open'),
    (R'tf\.([\w\d]+)', R'datasets.Value(\'\1\')'),
    (R'tfds\.features\.Text\(\)', R'datasets.Value(\'string\')'),
    (R'tfds\.features\.Text\(', R'datasets.Value(\'string\'),'),
    (R'features\s*=\s*tfds.features.FeaturesDict\(', R'features=datasets.Features('),
    (R'tfds\.features\.FeaturesDict\(', R'dict('),
    (R'The TensorFlow Datasets Authors', R'The TensorFlow Datasets Authors and the HuggingFace Datasets Authors'),
    (R'tfds\.', R'datasets.'),
    (R'dl_manager\.manual_dir', R'self.config.data_dir'),
    (R'self\.builder_config', R'self.config'),
]
def 			_a (      SCREAMING_SNAKE_CASE     ):


		"""simple docstring"""




		return ConvertCommand(args.tfds_path						,				args.datasets_directory     )


class        _a							(			UpperCamelCase__			):

							@staticmethod
							def       lowerCamelCase_ (							UpperCamelCase_:	ArgumentParser							)			->   int:





									"""simple docstring"""







									lowercase__            =      parser.add_parser(
									    '''convert'''    ,						help='''Convert a TensorFlow Datasets dataset to a HuggingFace Datasets dataset.'''    ,						)
									train_parser.add_argument(
									    '''--tfds_path'''    ,						type=UpperCamelCase_    ,						required=UpperCamelCase_    ,						help='''Path to a TensorFlow Datasets folder to convert or a single tfds file to convert.'''    ,						)
									train_parser.add_argument(
									    '''--datasets_directory'''    ,						type=UpperCamelCase_    ,						required=UpperCamelCase_    ,						help='''Path to the HuggingFace Datasets folder.'''							)
									train_parser.set_defaults(func=UpperCamelCase_							)

							def __init__(							self:	int    ,						UpperCamelCase_:	str    ,						UpperCamelCase_:	str    ,						*UpperCamelCase_:	Optional[int]							)			->   Union[str, Any]:





									"""simple docstring"""







									lowercase__            =      get_logger('''datasets-cli/converting'''							)

									lowercase__            =      tfds_path
									lowercase__            =      datasets_directory


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





									"""simple docstring"""







									if os.path.isdir(self._tfds_path							):
											lowercase__            =      os.path.abspath(self._tfds_path							)
									elif os.path.isfile(self._tfds_path							):
											lowercase__            =      os.path.dirname(self._tfds_path							)
									else:
											raise ValueError('''--tfds_path is neither a directory nor a file. Please check path.'''							)

									lowercase__            =      os.path.abspath(self._datasets_directory							)

									self._logger.info(f'Converting datasets from {abs_tfds_path} to {abs_datasets_path}'							)

									lowercase__            =      []
									lowercase__            =      []
									lowercase__            =      {}

									if os.path.isdir(self._tfds_path							):
											lowercase__            =      os.listdir(UpperCamelCase_							)
									else:
											lowercase__            =      [os.path.basename(self._tfds_path							)]

									for f_name in file_names:
											self._logger.info(f'Looking at file {f_name}'							)
											lowercase__            =      os.path.join(UpperCamelCase_    ,						UpperCamelCase_							)
											lowercase__            =      os.path.join(UpperCamelCase_    ,						UpperCamelCase_							)

											if not os.path.isfile(UpperCamelCase_							) or "__init__" in f_name or "_test" in f_name or ".py" not in f_name:
													self._logger.info('''Skipping file'''							)
													continue

											with open(UpperCamelCase_    ,						encoding='''utf-8'''							) as f:
													lowercase__            =      f.readlines()

											lowercase__            =      []
											lowercase__            =      False
											lowercase__            =      False
											lowercase__            =      []
											for line in lines:
													lowercase__            =      line

													# Convert imports
													if "import tensorflow.compat.v2 as tf" in out_line:
															continue
													elif "@tfds.core" in out_line:
															continue
													elif "builder=self" in out_line:
															continue
													elif "import tensorflow_datasets.public_api as tfds" in out_line:
															lowercase__            =      '''import datasets\n'''
													elif "import tensorflow" in out_line:
															# order is important here
															lowercase__            =      ''''''
															continue
													elif "from absl import logging" in out_line:
															lowercase__            =      '''from datasets import logging\n'''
													elif "getLogger" in out_line:
															lowercase__            =      out_line.replace('''getLogger'''    ,						'''get_logger'''							)
													elif any(expression in out_line for expression in TO_HIGHLIGHT							):
															lowercase__            =      True
															lowercase__            =      list(filter(lambda UpperCamelCase_							: e in out_line    ,						UpperCamelCase_							)							)
															out_lines.append(HIGHLIGHT_MESSAGE_PRE + str(UpperCamelCase_							) + '''\n'''							)
															out_lines.append(UpperCamelCase_							)
															out_lines.append(UpperCamelCase_							)
															continue
													else:
															for pattern, replacement in TO_CONVERT:
																	lowercase__            =      re.sub(UpperCamelCase_    ,						UpperCamelCase_    ,						UpperCamelCase_							)

                # Take care of saving utilities (to later move them together with main script)
													if "tensorflow_datasets" in out_line:
															lowercase__            =      re.match(r'''from\stensorflow_datasets.*import\s([^\.\r\n]+)'''    ,						UpperCamelCase_							)
															tfds_imports.extend(imp.strip() for imp in match.group(1							).split(''','''							)							)
															lowercase__            =      '''from . import ''' + match.group(1							)

													# Check we have not forget anything
													if "tf." in out_line or "tfds." in out_line or "tensorflow_datasets" in out_line:
															raise ValueError(f'Error converting {out_line.strip()}'							)

													if "GeneratorBasedBuilder" in out_line or "BeamBasedBuilder" in out_line:
															lowercase__            =      True
													out_lines.append(UpperCamelCase_							)

											if is_builder or "wmt" in f_name:
													# We create a new directory for each dataset
													lowercase__            =      f_name.replace('''.py'''    ,						''''''							)
													lowercase__            =      os.path.join(UpperCamelCase_    ,						UpperCamelCase_							)
													lowercase__            =      os.path.join(UpperCamelCase_    ,						UpperCamelCase_							)
													os.makedirs(UpperCamelCase_    ,						exist_ok=UpperCamelCase_							)
													self._logger.info(f'Adding directory {output_dir}'							)
													imports_to_builder_map.update({imp: output_dir for imp in tfds_imports}							)
											else:
													# Utilities will be moved at the end
													utils_files.append(UpperCamelCase_							)

											if needs_manual_update:
													with_manual_update.append(UpperCamelCase_							)

											with open(UpperCamelCase_    ,						'''w'''    ,						encoding='''utf-8'''							) as f:
													f.writelines(UpperCamelCase_							)
											self._logger.info(f'Converted in {output_file}'							)

									for utils_file in utils_files:
											try:
													lowercase__            =      os.path.basename(UpperCamelCase_							)
													lowercase__            =      imports_to_builder_map[f_name.replace('''.py'''    ,						''''''							)]
													self._logger.info(f'Moving {dest_folder} to {utils_file}'							)
													shutil.copy(UpperCamelCase_    ,						UpperCamelCase_							)
											except KeyError:
													self._logger.error(f'Cannot find destination folder for {utils_file}. Please copy manually.'							)

									if with_manual_update:
											for file_path in with_manual_update:
													self._logger.warning(
													    f'You need to manually update file {file_path} to remove configurations using \'TextEncoderConfig\'.'							)


