


import unittest

from transformers import ErnieMTokenizer
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin


A :	Optional[Any]												=     get_tests_dir('fixtures/spiece.model')



@require_sentencepiece
@require_tokenizers
class 							A					( UpperCAmelCase__				,						unittest.TestCase							):
					'''simple docstring'''






					A__    =				ErnieMTokenizer
					A__    =				False
					A__    =				True
					A__    =				False
					A__    =				False

					def 						lowerCamelCase__  (self					:		Any	)		->     Dict:




							"""simple docstring"""


							super().setUp()

							# We have a SentencePiece fixture for testing
							lowercase__      =	ErnieMTokenizer(_UpperCAmelCase   ,      unk_token="""<unk>"""   ,      pad_token="""<pad>"""	)
							tokenizer.save_pretrained(self.tmpdirname	)

					def 						lowerCamelCase__  (self					:		List[Any]   ,      _UpperCAmelCase					:		Tuple	)		->     List[str]:




							"""simple docstring"""


							lowercase__      =	"""this is a test"""
							lowercase__      =	"""this is a test"""
							return input_text, output_text

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




							"""simple docstring"""


							lowercase__      =	"""<pad>"""
							lowercase__      =	0

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

					def 						lowerCamelCase__  (self					:		Tuple	)		->     Tuple:




							"""simple docstring"""


							lowercase__      =	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 						lowerCamelCase__  (self					:		Union[str, Any]	)		->     int:




							"""simple docstring"""


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

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




							"""simple docstring"""


							if not self.test_rust_tokenizer:
									return

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

							lowercase__      =	"""I was born in 92000, and this is falsé."""

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

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

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

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




							"""simple docstring"""


							lowercase__      =	ErnieMTokenizer(_UpperCAmelCase   ,      do_lower_case=_UpperCAmelCase   ,      unk_token="""<unk>"""   ,      pad_token="""<pad>"""	)

							lowercase__      =	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]	)

							lowercase__      =	tokenizer.tokenize("""I was born in 92000, and this is falsé."""	)
							# ErnieMTokenizer(paddlenlp implementation) outputs '9' instead of '_9' so to mimic that '_9' is changed to '9'
							self.assertListEqual(
							    _UpperCAmelCase   ,      ["""▁i""", """▁was""", """▁born""", """▁in""", """9""", """2000""", """,""", """▁and""", """▁this""", """▁is""", """▁fal""", """s""", """é""", """."""]	)
							lowercase__      =	tokenizer.convert_tokens_to_ids(_UpperCAmelCase	)
							self.assertListEqual(_UpperCAmelCase   ,      [31, 23, 386, 19, 518, 3050, 15, 17, 48, 25, 8256, 18, 1, 9]	)

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

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




							"""simple docstring"""


							lowercase__      =	ErnieMTokenizer(_UpperCAmelCase   ,      unk_token="""<unk>"""   ,      pad_token="""<pad>"""	)

							lowercase__      =	tokenizer.encode("""sequence builders"""	)
							lowercase__      =	tokenizer.encode("""multi-sequence build"""	)

							lowercase__      =	tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase	)
							lowercase__      =	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] + [
							    tokenizer.sep_token_id
							] + text_a + [tokenizer.sep_token_id]


					@slow
					def 						lowerCamelCase__  (self					:		Optional[int]	)		->     List[str]:




							"""simple docstring"""


							lowercase__      =	{"""input_ids""": [[0, 1_1062, 8_2772, 7, 15, 8_2772, 538, 5_1529, 237, 1_7198, 1290, 206, 9, 21_5175, 1314, 136, 1_7198, 1290, 206, 9, 5_6359, 42, 12_2009, 9, 1_6466, 16, 8_7344, 4537, 9, 4717, 7_8381, 6, 15_9958, 7, 15, 2_4480, 618, 4, 527, 2_2693, 9, 304, 4, 2777, 2_4480, 9874, 4, 4_3523, 594, 4, 803, 1_8392, 3_3189, 18, 4, 4_3523, 2_4447, 5, 5, 5, 16, 100, 2_4955, 8_3658, 9626, 14_4057, 15, 839, 2_2335, 16, 136, 2_4955, 8_3658, 8_3479, 15, 3_9102, 724, 16, 678, 645, 6460, 1328, 4589, 42, 12_2009, 11_5774, 23, 3559, 1328, 4_6876, 7, 136, 5_3894, 1940, 4_2227, 4_1159, 1_7721, 823, 425, 4, 2_7512, 9_8722, 206, 136, 5531, 4970, 919, 1_7336, 5, 2], [0, 2_0080, 618, 83, 8_2775, 47, 479, 9, 1517, 73, 5_3894, 333, 8_0581, 11_0117, 1_8811, 5256, 1295, 51, 15_2526, 297, 7986, 390, 12_4416, 538, 3_5431, 214, 98, 1_5044, 2_5737, 136, 7108, 4_3701, 23, 756, 13_5355, 7, 5, 2, 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, 581, 6_3773, 11_9455, 6, 14_7797, 8_8203, 7, 645, 70, 21, 3285, 1_0269, 5, 2, 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]]}
							# fmt: on

							self.tokenizer_integration_test_util(
							    expected_encoding=_UpperCAmelCase   ,      model_name="""susnato/ernie-m-base_pytorch"""   ,      sequences=[
							        """Transformers (formerly known as pytorch-transformers and pytorch-pretrained-bert) provides """
							        """general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet...) for Natural """
							        """Language Understanding (NLU) and Natural Language Generation (NLG) with over32+ pretrained """
							        """models in100+ languages and deep interoperability between Jax, PyTorch and TensorFlow.""",
							        """BERT is designed to pre-train deep bidirectional representations from unlabeled text by jointly """
							        """conditioning on both left and right context in all layers.""",
							        """The quick brown fox jumps over the lazy dog.""",
							    ]   ,      )





# 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 ast
import difflib
from collections.abc import Mapping
from typing import Any, Callable, Dict



class 							A					( UpperCAmelCase__							):
					'''simple docstring'''






					pass






def 				UpperCamelCase      (			__magic_name__  :							str					,					__magic_name__  :							Dict[str, Callable]					,					__magic_name__  :							List[Any]=None					,					__magic_name__  :							int=False  )     ->						int:
		"""simple docstring"""




		try:
				lowercase__      =	ast.parse(__magic_name__  )
		except SyntaxError as e:
				print("""The code generated by the agent is not valid.\n"""					,					__magic_name__  )
				return
		if state is None:
				lowercase__      =	{}
		lowercase__      =	None
		for idx, node in enumerate(expression.body  ):
				try:
						lowercase__      =	evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  )
				except InterpretorError as e:
						lowercase__      =	f'''Evaluation of the code stopped at line {idx} before the end because of the following error'''
						if chat_mode:
								msg += (
								    f'''. Copy paste the following error message and send it back to the agent:\nI get an error: \'{e}\''''
								)
						else:
								msg += f''':\n{e}'''
						print(__magic_name__  )
						break
				if line_result is not None:
						lowercase__      =	line_result

		return result






def 				UpperCamelCase      (			__magic_name__  :							ast.AST					,					__magic_name__  :							Dict[str, Any]					,					__magic_name__  :							Dict[str, Callable]  )     ->						Tuple:
		"""simple docstring"""




		if isinstance(__magic_name__					,					ast.Assign  ):
				# Assignement -> we evaluate the assignement which should update the state
				# We return the variable assigned as it may be used to determine the final result.
				return evaluate_assign(__magic_name__					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.Call  ):
				# Function call -> we return the value of the function call
				return evaluate_call(__magic_name__					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.Constant  ):
				# Constant -> just return the value
				return expression.value
		elif isinstance(__magic_name__					,					ast.Dict  ):
				# Dict -> evaluate all keys and values
				lowercase__      =	[evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  ) for k in expression.keys]
				lowercase__      =	[evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  ) for v in expression.values]
				return dict(zip(__magic_name__					,					__magic_name__  )  )
		elif isinstance(__magic_name__					,					ast.Expr  ):
				# Expression -> evaluate the content
				return evaluate_ast(expression.value					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.For  ):
				# For loop -> execute the loop
				return evaluate_for(__magic_name__					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.FormattedValue  ):
				# Formatted value (part of f-string) -> evaluate the content and return
				return evaluate_ast(expression.value					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.If  ):
				# If -> execute the right branch
				return evaluate_if(__magic_name__					,					__magic_name__					,					__magic_name__  )
		elif hasattr(__magic_name__					,					"""Index"""  ) and isinstance(__magic_name__					,					ast.Index  ):
				return evaluate_ast(expression.value					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.JoinedStr  ):
				return "".join([str(evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  )  ) for v in expression.values]  )
		elif isinstance(__magic_name__					,					ast.List  ):
				# List -> evaluate all elements
				return [evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  ) for elt in expression.elts]
		elif isinstance(__magic_name__					,					ast.Name  ):
				# Name -> pick up the value in the state
				return evaluate_name(__magic_name__					,					__magic_name__					,					__magic_name__  )
		elif isinstance(__magic_name__					,					ast.Subscript  ):
				# Subscript -> return the value of the indexing
				return evaluate_subscript(__magic_name__					,					__magic_name__					,					__magic_name__  )
		else:
				# For now we refuse anything else. Let's add things as we need them.
				raise InterpretorError(f'''{expression.__class__.__name__} is not supported.'''  )






def 				UpperCamelCase      (			__magic_name__  :							Any					,					__magic_name__  :							Union[str, Any]					,					__magic_name__  :							Dict  )     ->						str:
		"""simple docstring"""




		lowercase__      =	assign.targets
		lowercase__      =	evaluate_ast(assign.value					,					__magic_name__					,					__magic_name__  )

		if len(__magic_name__  ) == 1:
				lowercase__      =	result
		else:
				if len(__magic_name__  ) != len(__magic_name__  ):
						raise InterpretorError(f'''Expected {len(__magic_name__  )} values but got {len(__magic_name__  )}.'''  )
				for var_name, r in zip(__magic_name__					,					__magic_name__  ):
						lowercase__      =	r
		return result






def 				UpperCamelCase      (			__magic_name__  :							Any					,					__magic_name__  :							Dict					,					__magic_name__  :							Union[str, Any]  )     ->						int:
		"""simple docstring"""




		if not isinstance(call.func					,					ast.Name  ):
				raise InterpretorError(
				    f'''It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func} of '''
				    f'''type {type(call.func  )}.'''  )
		lowercase__      =	call.func.id
		if func_name not in tools:
				raise InterpretorError(
				    f'''It is not permitted to evaluate other functions than the provided tools (tried to execute {call.func.id}).'''  )

		lowercase__      =	tools[func_name]
		# Todo deal with args
		lowercase__      =	[evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  ) for arg in call.args]
		lowercase__      =	{keyword.arg: evaluate_ast(keyword.value					,					__magic_name__					,					__magic_name__  ) for keyword in call.keywords}
		return func(*__magic_name__					,					**__magic_name__  )






def 				UpperCamelCase      (			__magic_name__  :							Tuple					,					__magic_name__  :							Any					,					__magic_name__  :							Optional[Any]  )     ->						List[Any]:
		"""simple docstring"""




		lowercase__      =	evaluate_ast(subscript.slice					,					__magic_name__					,					__magic_name__  )
		lowercase__      =	evaluate_ast(subscript.value					,					__magic_name__					,					__magic_name__  )
		if isinstance(__magic_name__					,					(list, tuple)  ):
				return value[int(__magic_name__  )]
		if index in value:
				return value[index]
		if isinstance(__magic_name__					,					__magic_name__  ) and isinstance(__magic_name__					,					__magic_name__  ):
				lowercase__      =	difflib.get_close_matches(__magic_name__					,					list(value.keys()  )  )
				if len(__magic_name__  ) > 0:
						return value[close_matches[0]]

		raise InterpretorError(f'''Could not index {value} with \'{index}\'.'''  )






def 				UpperCamelCase      (			__magic_name__  :							Dict					,					__magic_name__  :							Dict					,					__magic_name__  :							int  )     ->						int:
		"""simple docstring"""




		if name.id in state:
				return state[name.id]
		lowercase__      =	difflib.get_close_matches(name.id					,					list(state.keys()  )  )
		if len(__magic_name__  ) > 0:
				return state[close_matches[0]]
		raise InterpretorError(f'''The variable `{name.id}` is not defined.'''  )






def 				UpperCamelCase      (			__magic_name__  :							Union[str, Any]					,					__magic_name__  :							List[str]					,					__magic_name__  :							Tuple  )     ->						List[str]:
		"""simple docstring"""




		if len(condition.ops  ) > 1:
				raise InterpretorError("""Cannot evaluate conditions with multiple operators"""  )

		lowercase__      =	evaluate_ast(condition.left					,					__magic_name__					,					__magic_name__  )
		lowercase__      =	condition.ops[0]
		lowercase__      =	evaluate_ast(condition.comparators[0]					,					__magic_name__					,					__magic_name__  )

		if isinstance(__magic_name__					,					ast.Eq  ):
				return left == right
		elif isinstance(__magic_name__					,					ast.NotEq  ):
				return left != right
		elif isinstance(__magic_name__					,					ast.Lt  ):
				return left < right
		elif isinstance(__magic_name__					,					ast.LtE  ):
				return left <= right
		elif isinstance(__magic_name__					,					ast.Gt  ):
				return left > right
		elif isinstance(__magic_name__					,					ast.GtE  ):
				return left >= right
		elif isinstance(__magic_name__					,					ast.Is  ):
				return left is right
		elif isinstance(__magic_name__					,					ast.IsNot  ):
				return left is not right
		elif isinstance(__magic_name__					,					ast.In  ):
				return left in right
		elif isinstance(__magic_name__					,					ast.NotIn  ):
				return left not in right
		else:
				raise InterpretorError(f'''Operator not supported: {comparator}'''  )






def 				UpperCamelCase      (			__magic_name__  :							Union[str, Any]					,					__magic_name__  :							str					,					__magic_name__  :							Dict  )     ->						Optional[int]:
		"""simple docstring"""




		lowercase__      =	None
		if evaluate_condition(if_statement.test					,					__magic_name__					,					__magic_name__  ):
				for line in if_statement.body:
						lowercase__      =	evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  )
						if line_result is not None:
								lowercase__      =	line_result
		else:
				for line in if_statement.orelse:
						lowercase__      =	evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  )
						if line_result is not None:
								lowercase__      =	line_result
		return result







def 				UpperCamelCase      (			__magic_name__  :							Any					,					__magic_name__  :							List[Any]					,					__magic_name__  :							List[Any]  )     ->						List[str]:
		"""simple docstring"""




		lowercase__      =	None
		lowercase__      =	evaluate_ast(for_loop.iter					,					__magic_name__					,					__magic_name__  )
		for counter in iterator:
				lowercase__      =	counter
				for expression in for_loop.body:
						lowercase__      =	evaluate_ast(__magic_name__					,					__magic_name__					,					__magic_name__  )
						if line_result is not None:
								lowercase__      =	line_result
		return result

