


import shutil
import tempfile
import unittest
from pathlib import Path
from shutil import copyfile

from transformers import SpeechaTextTokenizer, is_speech_available
from transformers.models.speech_to_text.tokenization_speech_to_text import VOCAB_FILES_NAMES, save_json
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_torch, require_torchaudio
from transformers.utils import FEATURE_EXTRACTOR_NAME

from .test_feature_extraction_speech_to_text import floats_list


if is_speech_available():
	from transformers import SpeechaTextFeatureExtractor, SpeechaTextProcessor


A :	int												=     get_tests_dir('fixtures/test_sentencepiece.model')



@require_torch
@require_torchaudio
@require_sentencepiece
class 							A					( unittest.TestCase							):
					'''simple docstring'''






					def 						lowerCamelCase__  (self					:		Dict	)		->     Dict:




							"""simple docstring"""


							lowercase__      =	tempfile.mkdtemp()

							lowercase__      =	["""<s>""", """<pad>""", """</s>""", """<unk>""", """▁This""", """▁is""", """▁a""", """▁t""", """est"""]
							lowercase__      =	dict(zip(_UpperCAmelCase   ,      range(len(_UpperCAmelCase	)	)	)	)
							lowercase__      =	Path(self.tmpdirname	)
							save_json(_UpperCAmelCase   ,      save_dir / VOCAB_FILES_NAMES["""vocab_file"""]	)
							if not (save_dir / VOCAB_FILES_NAMES["spm_file"]).exists():
									copyfile(_UpperCAmelCase   ,      save_dir / VOCAB_FILES_NAMES["""spm_file"""]	)

							lowercase__      =	SpeechaTextTokenizer.from_pretrained(self.tmpdirname	)
							tokenizer.save_pretrained(self.tmpdirname	)

							lowercase__      =	{
							    """feature_size""": 24,
							    """num_mel_bins""": 24,
							    """padding_value""": 0.0,
							    """sampling_rate""": 1_6000,
							    """return_attention_mask""": False,
							    """do_normalize""": True,
							}
							save_json(_UpperCAmelCase   ,      save_dir / FEATURE_EXTRACTOR_NAME	)

					def 						lowerCamelCase__  (self					:		str   ,      **_UpperCAmelCase					:		Tuple	)		->     Any:




							"""simple docstring"""


							return SpeechaTextTokenizer.from_pretrained(self.tmpdirname   ,      **_UpperCAmelCase	)

					def 						lowerCamelCase__  (self					:		Dict   ,      **_UpperCAmelCase					:		Optional[int]	)		->     Tuple:




							"""simple docstring"""


							return SpeechaTextFeatureExtractor.from_pretrained(self.tmpdirname   ,      **_UpperCAmelCase	)

					def 						lowerCamelCase__  (self					:		Dict	)		->     List[Any]:




							"""simple docstring"""


							shutil.rmtree(self.tmpdirname	)

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




							"""simple docstring"""


							lowercase__      =	self.get_tokenizer()
							lowercase__      =	self.get_feature_extractor()

							lowercase__      =	SpeechaTextProcessor(tokenizer=_UpperCAmelCase   ,      feature_extractor=_UpperCAmelCase	)

							processor.save_pretrained(self.tmpdirname	)
							lowercase__      =	SpeechaTextProcessor.from_pretrained(self.tmpdirname	)

							self.assertEqual(processor.tokenizer.get_vocab()   ,      tokenizer.get_vocab()	)
							self.assertIsInstance(processor.tokenizer   ,      _UpperCAmelCase	)

							self.assertEqual(processor.feature_extractor.to_json_string()   ,      feature_extractor.to_json_string()	)
							self.assertIsInstance(processor.feature_extractor   ,      _UpperCAmelCase	)

					def 						lowerCamelCase__  (self					:		Any	)		->     Dict:




							"""simple docstring"""


							lowercase__      =	SpeechaTextProcessor(
							    tokenizer=self.get_tokenizer()   ,      feature_extractor=self.get_feature_extractor()	)
							processor.save_pretrained(self.tmpdirname	)

							lowercase__      =	self.get_tokenizer(bos_token="""(BOS)"""   ,      eos_token="""(EOS)"""	)
							lowercase__      =	self.get_feature_extractor(do_normalize=_UpperCAmelCase   ,      padding_value=1.0	)

							lowercase__      =	SpeechaTextProcessor.from_pretrained(
							    self.tmpdirname   ,      bos_token="""(BOS)"""   ,      eos_token="""(EOS)"""   ,      do_normalize=_UpperCAmelCase   ,      padding_value=1.0	)

							self.assertEqual(processor.tokenizer.get_vocab()   ,      tokenizer_add_kwargs.get_vocab()	)
							self.assertIsInstance(processor.tokenizer   ,      _UpperCAmelCase	)

							self.assertEqual(processor.feature_extractor.to_json_string()   ,      feature_extractor_add_kwargs.to_json_string()	)
							self.assertIsInstance(processor.feature_extractor   ,      _UpperCAmelCase	)

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




							"""simple docstring"""


							lowercase__      =	self.get_feature_extractor()
							lowercase__      =	self.get_tokenizer()

							lowercase__      =	SpeechaTextProcessor(tokenizer=_UpperCAmelCase   ,      feature_extractor=_UpperCAmelCase	)

							lowercase__      =	floats_list((3, 1000)	)

							lowercase__      =	feature_extractor(_UpperCAmelCase   ,      return_tensors="""np"""	)
							lowercase__      =	processor(_UpperCAmelCase   ,      return_tensors="""np"""	)

							for key in input_feat_extract.keys():
									self.assertAlmostEqual(input_feat_extract[key].sum()   ,      input_processor[key].sum()   ,      delta=1E-2	)

					def 						lowerCamelCase__  (self					:		str	)		->     str:




							"""simple docstring"""


							lowercase__      =	self.get_feature_extractor()
							lowercase__      =	self.get_tokenizer()

							lowercase__      =	SpeechaTextProcessor(tokenizer=_UpperCAmelCase   ,      feature_extractor=_UpperCAmelCase	)

							lowercase__      =	"""This is a test string"""

							lowercase__      =	processor(text=_UpperCAmelCase	)

							lowercase__      =	tokenizer(_UpperCAmelCase	)

							for key in encoded_tok.keys():
									self.assertListEqual(encoded_tok[key]   ,      encoded_processor[key]	)

					def 						lowerCamelCase__  (self					:		Tuple	)		->     Dict:




							"""simple docstring"""


							lowercase__      =	self.get_feature_extractor()
							lowercase__      =	self.get_tokenizer()

							lowercase__      =	SpeechaTextProcessor(tokenizer=_UpperCAmelCase   ,      feature_extractor=_UpperCAmelCase	)

							lowercase__      =	[[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

							lowercase__      =	processor.batch_decode(_UpperCAmelCase	)
							lowercase__      =	tokenizer.batch_decode(_UpperCAmelCase	)

							self.assertListEqual(_UpperCAmelCase   ,      _UpperCAmelCase	)


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




							"""simple docstring"""


							lowercase__      =	self.get_feature_extractor()
							lowercase__      =	self.get_tokenizer()

							lowercase__      =	SpeechaTextProcessor(tokenizer=_UpperCAmelCase   ,      feature_extractor=_UpperCAmelCase	)

							self.assertListEqual(
							    processor.model_input_names   ,      feature_extractor.model_input_names   ,      msg="""`processor` and `feature_extractor` model input names do not match"""   ,      )





# 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

