






# Copyright 2023 The HuggingFace Inc. 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 re

from ..utils import cached_file


# docstyle-ignore
_a      	=  '''
Human: <<task>>

Assistant: '''


_a      	=  '''huggingface-tools/default-prompts'''
_a      	=  {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}


def __A    (      __lowerCAmelCase ,		__lowerCAmelCase ,		__lowerCAmelCase="run"	)->  Dict:





						"""simple docstring"""



						if prompt_or_repo_id is None:
												_UpperCAmelCase									=			DEFAULT_PROMPTS_REPO

						# prompt is considered a repo ID when it does not contain any kind of space
						if re.search('\\s' ,		__lowerCAmelCase	) is not None:
												return prompt_or_repo_id

						_UpperCAmelCase									=			cached_file(
						    __lowerCAmelCase ,		PROMPT_FILES[mode] ,		repo_type='dataset' ,		user_agent={'agent': agent_name}	)
						with open(__lowerCAmelCase ,		'r' ,		encoding='utf-8'	) as f:
												return f.read()








import unittest

from transformers import AlbertTokenizer, AlbertTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


_a      	=  get_tests_dir('''fixtures/spiece.model''')





@require_sentencepiece
@require_tokenizers
class __lowerCamelCase (      snake_case__     ,       unittest.TestCase):





	"""simple docstring"""






	UpperCamelCase__								=      AlbertTokenizer
	UpperCamelCase__								=      AlbertTokenizerFast
	UpperCamelCase__								=      True
	UpperCamelCase__								=      True
	UpperCamelCase__								=      True

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							super().setUp()

							# We have a SentencePiece fixture for testing
							_UpperCAmelCase									=			AlbertTokenizer(UpperCAmelCase    )
							tokenizer.save_pretrained(self.tmpdirname    )

	def        UpperCamelCase    (							self       ,    UpperCAmelCase    ):
							"""simple docstring"""







							_UpperCAmelCase									=			'this is a test'
							_UpperCAmelCase									=			'this is a test'
							return input_text, output_text

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			'<pad>'
							_UpperCAmelCase									=			0

							self.assertEqual(self.get_tokenizer()._convert_token_to_id(UpperCAmelCase    )       ,    UpperCAmelCase    )
							self.assertEqual(self.get_tokenizer()._convert_id_to_token(UpperCAmelCase    )       ,    UpperCAmelCase    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			list(self.get_tokenizer().get_vocab().keys()    )

							self.assertEqual(vocab_keys[0]       ,    '<pad>'    )
							self.assertEqual(vocab_keys[1]       ,    '<unk>'    )
							self.assertEqual(vocab_keys[-1]       ,    '▁eloquent'    )
							self.assertEqual(len(UpperCAmelCase    )       ,    3_0000    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							self.assertEqual(self.get_tokenizer().vocab_size       ,    3_0000    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							if not self.test_rust_tokenizer:
													return

							_UpperCAmelCase									=			self.get_tokenizer()
							_UpperCAmelCase									=			self.get_rust_tokenizer()

							_UpperCAmelCase									=			'I was born in 92000, and this is falsé.'

							_UpperCAmelCase									=			tokenizer.tokenize(UpperCAmelCase    )
							_UpperCAmelCase									=			rust_tokenizer.tokenize(UpperCAmelCase    )
							self.assertListEqual(UpperCAmelCase       ,    UpperCAmelCase    )

							_UpperCAmelCase									=			tokenizer.encode(UpperCAmelCase       ,    add_special_tokens=UpperCAmelCase    )
							_UpperCAmelCase									=			rust_tokenizer.encode(UpperCAmelCase       ,    add_special_tokens=UpperCAmelCase    )
							self.assertListEqual(UpperCAmelCase       ,    UpperCAmelCase    )

							_UpperCAmelCase									=			self.get_rust_tokenizer()
							_UpperCAmelCase									=			tokenizer.encode(UpperCAmelCase    )
							_UpperCAmelCase									=			rust_tokenizer.encode(UpperCAmelCase    )
							self.assertListEqual(UpperCAmelCase       ,    UpperCAmelCase    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			AlbertTokenizer(UpperCAmelCase       ,    keep_accents=UpperCAmelCase    )

							_UpperCAmelCase									=			tokenizer.tokenize('This is a test'    )
							self.assertListEqual(UpperCAmelCase       ,    ['▁this', '▁is', '▁a', '▁test']    )

							self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase    )       ,    [48, 25, 21, 1289]    )

							_UpperCAmelCase									=			tokenizer.tokenize('I was born in 92000, and this is falsé.'    )
							self.assertListEqual(
							    UpperCAmelCase       ,    ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', 'é', '.']    )
							_UpperCAmelCase									=			tokenizer.convert_tokens_to_ids(UpperCAmelCase    )
							self.assertListEqual(UpperCAmelCase       ,    [31, 23, 386, 19, 561, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]    )

							_UpperCAmelCase									=			tokenizer.convert_ids_to_tokens(UpperCAmelCase    )
							self.assertListEqual(
							    UpperCAmelCase       ,    ['▁i', '▁was', '▁born', '▁in', '▁9', '2000', ',', '▁and', '▁this', '▁is', '▁fal', 's', '<unk>', '.']       ,    )

	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			AlbertTokenizer(UpperCAmelCase    )

							_UpperCAmelCase									=			tokenizer.encode('sequence builders'    )
							_UpperCAmelCase									=			tokenizer.encode('multi-sequence build'    )

							_UpperCAmelCase									=			tokenizer.build_inputs_with_special_tokens(UpperCAmelCase    )
							_UpperCAmelCase									=			tokenizer.build_inputs_with_special_tokens(UpperCAmelCase       ,    UpperCAmelCase    )

							assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
							assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
							    tokenizer.sep_token_id
							]

	@slow
	def        UpperCamelCase    (							self    ):
							"""simple docstring"""







							_UpperCAmelCase									=			{'attention_mask': [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'input_ids': [[2, 2_1970, 13, 5, 6092, 167, 28, 7103, 2153, 673, 8, 7028, 1_2051, 18, 17, 7103, 2153, 673, 8, 3515, 1_8684, 8, 4461, 6, 1927, 297, 8, 1_2060, 2607, 18, 13, 5, 4461, 15, 1_0538, 38, 8, 135, 15, 822, 58, 15, 993, 1_0363, 15, 1460, 8005, 4461, 15, 993, 255, 2328, 9, 9, 9, 6, 26, 1112, 816, 3260, 13, 5, 103, 2377, 6, 17, 1112, 816, 2782, 13, 5, 103, 1_0641, 6, 29, 84, 2512, 2430, 782, 1_8684, 2761, 19, 808, 2430, 2556, 17, 855, 1480, 9477, 4091, 128, 1_1712, 15, 7103, 2153, 673, 17, 2_4883, 9990, 9, 3], [2, 1_1502, 25, 1006, 20, 782, 8, 1_1809, 855, 1732, 1_9393, 1_8667, 37, 367, 2_1018, 69, 1854, 34, 1_1860, 1_9124, 27, 156, 225, 17, 193, 4141, 19, 65, 9124, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [2, 14, 2231, 886, 2385, 1_7659, 84, 14, 1_6792, 1952, 9, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], 'token_type_ids': [[0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=UpperCAmelCase       ,    model_name='albert-base-v2'       ,    revision='6b6560eaf5ff2e250b00c50f380c5389a9c2d82e'       ,    )
