



"""simple docstring"""
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, slow, torch_device


if is_torch_available():
			import torch

			from transformers import XLMProphetNetForConditionalGeneration, XLMProphetNetTokenizer


@require_torch
class 							lowerCamelCase_(      unittest.TestCase			):





					'''simple docstring'''



					@slow
					def 	snake_case__					(			self      ):
									_lowerCamelCase					     = XLMProphetNetForConditionalGeneration.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased'''      )
									model.to(lowerCamelCase__      )

									# encoder-decoder outputs
									_lowerCamelCase					     = torch.tensor([[1_7, 9_6_2_0_8, 1_0_3_4_7_1, 2]]      ).to(lowerCamelCase__      )
									_lowerCamelCase					     = torch.tensor(
									    [[2, 2_5_0, 9_9_5_3, 3_4, 6_9_4_8_9, 1_6_2_0, 3_2, 1_1_8_4_2_4, 6_2_4, 2_1_0, 1_0_5, 2_9_1_3, 1_0_3_2, 3_5_1]]      ).to(lowerCamelCase__      )
									_lowerCamelCase					     = model(
									    input_ids=lowerCamelCase__ ,				attention_mask=lowerCamelCase__ ,				encoder_outputs=lowerCamelCase__ ,				decoder_input_ids=lowerCamelCase__      )
									_lowerCamelCase					     = output[0]
									_lowerCamelCase					     = torch.Size((1, 1_4, 2_5_0_0_1_2)      )
									self.assertEqual(output_predited_logis.shape ,				lowerCamelCase__      )
									_lowerCamelCase					     = torch.tensor(
									    [[[-6.3_9_8_6, -8.2_3_9_1, 1_2.5_1_8_9], [-6.3_2_8_9, -8.0_8_6_4, 1_2.6_2_1_1], [-6.2_4_1_8, -8.0_4_4_5, 1_2.7_9_6_8]]]      ).to(lowerCamelCase__      )
									self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3] ,				lowerCamelCase__ ,				atol=1e-4      )      )

									# encoder outputs
									_lowerCamelCase					     = model.prophetnet.encoder(lowerCamelCase__      )[0]
									_lowerCamelCase					     = torch.tensor(
									    [[[-1.4_2_6_0, -0.7_6_2_8, 0.8_4_5_3], [-1.4_7_1_9, -0.1_3_9_1, 0.7_8_0_7], [-1.7_6_7_8, 0.0_1_1_4, 0.4_6_4_6]]]      ).to(lowerCamelCase__      )
									_lowerCamelCase					     = torch.Size((1, 4, 1_0_2_4)      )
									self.assertEqual(encoder_outputs.shape ,				lowerCamelCase__      )
									self.assertTrue(torch.allclose(encoder_outputs[:, :3, :3] ,				lowerCamelCase__ ,				atol=1e-4      )      )

									# decoder outputs
									_lowerCamelCase					     = model.prophetnet.decoder(
									    lowerCamelCase__ ,				encoder_hidden_states=lowerCamelCase__ ,				)
									_lowerCamelCase					     = decoder_outputs[1].view(1 ,				model.config.ngram ,				1_4 ,				-1      )
									_lowerCamelCase					     = model.lm_head(lowerCamelCase__      )
									_lowerCamelCase					     = predicting_streams_logits[:, 0]
									self.assertTrue(torch.allclose(next_first_stream_logits[:, :3, :3] ,				lowerCamelCase__ ,				atol=1e-4      )      )

					@slow
					def 	snake_case__					(			self      ):
									_lowerCamelCase					     = XLMProphetNetForConditionalGeneration.from_pretrained(
									    '''microsoft/xprophetnet-large-wiki100-cased-xglue-ntg'''      )
									model.to(lowerCamelCase__      )

									_lowerCamelCase					     = torch.tensor([[1_7, 9_6_2_0_8, 1_0_3_4_7_1, 2]]      ).to(lowerCamelCase__      )
									_lowerCamelCase					     = torch.tensor(
									    [[2, 2_5_0, 9_9_5_3, 3_4, 6_9_4_8_9, 1_6_2_0, 3_2, 1_1_8_4_2_4, 6_2_4, 2_1_0, 1_0_5, 2_9_1_3, 1_0_3_2, 3_5_1]]      ).to(lowerCamelCase__      )
									_lowerCamelCase					     = model(
									    input_ids=lowerCamelCase__ ,				attention_mask=lowerCamelCase__ ,				encoder_outputs=lowerCamelCase__ ,				decoder_input_ids=lowerCamelCase__      )
									_lowerCamelCase					     = output[0]
									_lowerCamelCase					     = torch.Size((1, 1_4, 2_5_0_0_1_2)      )
									self.assertEqual(output_predited_logis.shape ,				lowerCamelCase__      )
									# compare the actual values for a slice.
									_lowerCamelCase					     = torch.tensor(
									    [[[-9.2_2_5_3, -9.7_1_7_3, -6.3_5_2_9], [-7.6_7_0_1, -9.0_1_4_5, -1.9_3_8_2], [-8.0_1_9_5, -7.0_0_0_4, -0.1_5_2_3]]]      ).to(lowerCamelCase__      )

									self.assertTrue(torch.allclose(output_predited_logis[:, :3, :3] ,				lowerCamelCase__ ,				atol=1e-4      )      )





					@slow
					def 	snake_case__					(			self      ):
									_lowerCamelCase					     = XLMProphetNetForConditionalGeneration.from_pretrained(
									    '''microsoft/xprophetnet-large-wiki100-cased-xglue-ntg'''      )
									model.to(lowerCamelCase__      )
									_lowerCamelCase					     = 5_1_2

									_lowerCamelCase					     = XLMProphetNetTokenizer.from_pretrained('''microsoft/xprophetnet-large-wiki100-cased-xglue-ntg'''      )

									_lowerCamelCase					     = (
									    '''Microsoft Corporation intends to officially end free support for the Windows 7 operating system after'''
									    ''' January 14, 2020, according to the official portal of the organization. From that day, users of this'''
									    ''' system will not be able to receive security updates, which could make their computers vulnerable to'''
									    ''' cyber attacks.'''
									)
									_lowerCamelCase					     = (
									    '''орпорация Microsoft намерена официально прекратить бесплатную поддержку операционной системы Windows 7'''
									    ''' после 14 января 2020 года, сообщается на официальном портале организации . С указанного дня пользователи'''
									    ''' этой системы не смогут получать обновления безопасности, из-за чего их компьютеры могут стать уязвимыми'''
									    ''' к кибератакам.'''
									)
									_lowerCamelCase					     = (
									    '''根据该组织的官方门户网站，微软公司打算在2020年1月14日之后正式终止对Windows 7操作系统的免费支持。从那时起，该系统的用户将无法接收安全更新，这可能会使他们的计算机容易受到网络攻击。'''
									)

									_lowerCamelCase					     = tokenizer(
									    [EN_SENTENCE, RU_SENTENCE, ZH_SENTENCE] ,				padding=lowerCamelCase__ ,				max_length=2_5_5 ,				return_tensors='''pt'''      ).input_ids
									_lowerCamelCase					     = input_ids.to(lowerCamelCase__      )

									_lowerCamelCase					     = model.generate(
									    lowerCamelCase__ ,				num_beams=1_0 ,				length_penalty=1.0 ,				no_repeat_ngram_size=3 ,				early_stopping=lowerCamelCase__      )
									_lowerCamelCase					     = [tokenizer.decode(lowerCamelCase__ ,				skip_special_tokens=lowerCamelCase__      ) for g in summary_ids]
									_lowerCamelCase					     = '''Microsoft to end Windows 7 free support after January 14, 2020'''
									_lowerCamelCase					     = '''Microsoft намерена прекратить бесплатную поддержку Windows 7 после 14 января 2020 года'''
									_lowerCamelCase					     = '''微软打算终止对Windows 7操作系统的免费支持'''
									self.assertListEqual(
									    [EXPECTED_TITLE_EN, EXPECTED_TITLE_RU, EXPECTED_TITLE_ZH] ,				lowerCamelCase__ ,				)

									_lowerCamelCase					     = model.generate(
									    lowerCamelCase__ ,				num_beams=1 ,				length_penalty=1.0 ,				no_repeat_ngram_size=3 ,				early_stopping=lowerCamelCase__      )
									_lowerCamelCase					     = [
									    tokenizer.convert_ids_to_tokens(lowerCamelCase__ ,				skip_special_tokens=lowerCamelCase__      ) for g in summary_ids_beama
									]
									_lowerCamelCase					     = '''▁Microsoft ▁to ▁end ▁free ▁support ▁for ▁Windows ▁7'''.split(''' '''      )
									_lowerCamelCase					     = '''▁Microsoft ▁намерен а ▁прекрати ть ▁бес плат ную ▁поддержку ▁Windows ▁7 ▁после ▁14 ▁января ▁2020 ▁года'''.split(
									    ''' '''      )
									_lowerCamelCase					     = '''微软 公司 打算 终止 对 Windows ▁7 操作 系统的 免费 支持'''.split(''' '''      )
									self.assertListEqual(
									    [EXPECTED_TITLE_EN_BEAM1_TOK, EXPECTED_TITLE_RU_BEAM1_TOK, EXPECTED_TITLE_ZH_BEAM1_TOK] ,				lowerCamelCase__ ,				)

# 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_ (						SCREAMING_SNAKE_CASE						):






 '''simple docstring'''






 pass






def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__=None	,  lowerCAmelCase__=False	):
       try:
              lowerCAmelCase__     	=					ast.parse(lowerCAmelCase__	)
       except SyntaxError as e:
              print('The code generated by the agent is not valid.\n'	,  lowerCAmelCase__	)
              return
       if state is None:
              lowerCAmelCase__     	=					{}
       lowerCAmelCase__     	=					None
       for idx, node in enumerate(expression.body	):
              try:
                     lowerCAmelCase__     	=					evaluate_ast(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
              except InterpretorError as e:
                     lowerCAmelCase__     	=					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(lowerCAmelCase__	)
                     break
              if line_result is not None:
                     lowerCAmelCase__     	=					line_result

       return result






def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       if isinstance(lowerCAmelCase__	,  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(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.Call	):
              # Function call -> we return the value of the function call
              return evaluate_call(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.Constant	):
              # Constant -> just return the value
              return expression.value
       elif isinstance(lowerCAmelCase__	,  ast.Dict	):
              # Dict -> evaluate all keys and values
              lowerCAmelCase__     	=					[evaluate_ast(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	) for k in expression.keys]
              lowerCAmelCase__     	=					[evaluate_ast(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	) for v in expression.values]
              return dict(zip(lowerCAmelCase__	,  lowerCAmelCase__	)	)
       elif isinstance(lowerCAmelCase__	,  ast.Expr	):
              # Expression -> evaluate the content
              return evaluate_ast(expression.value	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.For	):
              # For loop -> execute the loop
              return evaluate_for(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.FormattedValue	):
              # Formatted value (part of f-string) -> evaluate the content and return
              return evaluate_ast(expression.value	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.If	):
              # If -> execute the right branch
              return evaluate_if(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif hasattr(lowerCAmelCase__	,  'Index'	) and isinstance(lowerCAmelCase__	,  ast.Index	):
              return evaluate_ast(expression.value	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.JoinedStr	):
              return "".join([str(evaluate_ast(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)	) for v in expression.values]	)
       elif isinstance(lowerCAmelCase__	,  ast.List	):
              # List -> evaluate all elements
              return [evaluate_ast(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	) for elt in expression.elts]
       elif isinstance(lowerCAmelCase__	,  ast.Name	):
              # Name -> pick up the value in the state
              return evaluate_name(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       elif isinstance(lowerCAmelCase__	,  ast.Subscript	):
              # Subscript -> return the value of the indexing
              return evaluate_subscript(lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	)
       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       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       lowerCAmelCase__     	=					assign.targets
       lowerCAmelCase__     	=					evaluate_ast(assign.value	,  lowerCAmelCase__	,  lowerCAmelCase__	)

       if len(lowerCAmelCase__	) == 1:
              lowerCAmelCase__     	=					result
       else:
              if len(lowerCAmelCase__	) != len(lowerCAmelCase__	):
                     raise InterpretorError(F"""Expected {len(lowerCAmelCase__	)} values but got {len(lowerCAmelCase__	)}."""	)
              for var_name, r in zip(lowerCAmelCase__	,  lowerCAmelCase__	):
                     lowerCAmelCase__     	=					r
       return result






def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       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	)}."""	)
       lowerCAmelCase__     	=					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})."""	)

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






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

       raise InterpretorError(F"""Could not index {value} with '{index}'."""	)






def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       if name.id in state:
              return state[name.id]
       lowerCAmelCase__     	=					difflib.get_close_matches(name.id	,  list(state.keys()	)	)
       if len(lowerCAmelCase__	) > 0:
              return state[close_matches[0]]
       raise InterpretorError(F"""The variable `{name.id}` is not defined."""	)






def       __lowerCamelCase		(						lowerCAmelCase__	,  lowerCAmelCase__	,  lowerCAmelCase__	):
       if len(condition.ops	) > 1:
              raise InterpretorError('Cannot evaluate conditions with multiple operators'	)

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

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






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






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