





# 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 						_lowerCAmelCase(						_a):

  """simple docstring"""







  pass
def 				__UpperCamelCase  (		snake_case    ,	snake_case    ,	snake_case=None    ,	snake_case=False     )  ->						Dict:


   '''simple docstring'''







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

   return result
def 				__UpperCamelCase  (		snake_case    ,	snake_case    ,	snake_case     )  ->						List[Any]:


   '''simple docstring'''







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


   '''simple docstring'''







   __A				 =       assign.targets
   __A				 =       evaluate_ast(assign.value    ,	snake_case    ,	snake_case     )

   if len(snake_case     ) == 1:
      __A				 =       result
   else:
      if len(snake_case     ) != len(snake_case     ):
         raise InterpretorError(F"Expected {len(snake_case     )} values but got {len(snake_case     )}."     )
      for var_name, r in zip(snake_case    ,	snake_case     ):
         __A				 =       r
   return result
def 				__UpperCamelCase  (		snake_case    ,	snake_case    ,	snake_case     )  ->						List[str]:


   '''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     )}."     )
   __A				 =       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})."     )

   __A				 =       tools[func_name]
   # Todo deal with args
   __A				 =       [evaluate_ast(snake_case    ,	snake_case    ,	snake_case     ) for arg in call.args]
   __A				 =       {keyword.arg: evaluate_ast(keyword.value    ,	snake_case    ,	snake_case     ) for keyword in call.keywords}
   return func(*snake_case    ,	**snake_case     )
def 				__UpperCamelCase  (		snake_case    ,	snake_case    ,	snake_case     )  ->						List[str]:


   '''simple docstring'''







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

   raise InterpretorError(F"Could not index {value} with '{index}'."     )
def 				__UpperCamelCase  (		snake_case    ,	snake_case    ,	snake_case     )  ->						Optional[int]:


   '''simple docstring'''







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


   '''simple docstring'''







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

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

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


   '''simple docstring'''







   __A				 =       None
   if evaluate_condition(if_statement.test    ,	snake_case    ,	snake_case     ):
      for line in if_statement.body:
         __A				 =       evaluate_ast(snake_case    ,	snake_case    ,	snake_case     )
         if line_result is not None:
            __A				 =       line_result
   else:
      for line in if_statement.orelse:
         __A				 =       evaluate_ast(snake_case    ,	snake_case    ,	snake_case     )
         if line_result is not None:
            __A				 =       line_result
   return result
def 				__UpperCamelCase  (		snake_case    ,	snake_case    ,	snake_case     )  ->						Tuple:


   '''simple docstring'''







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








import json
import os
import unittest

from transformers.models.fsmt.tokenization_fsmt import VOCAB_FILES_NAMES, FSMTTokenizer
from transformers.testing_utils import slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


# using a different tiny model than the one used for default params defined in init to ensure proper testing
_UpperCamelCase   :							str     =	"""stas/tiny-wmt19-en-ru"""







class 						_lowerCAmelCase(						_a		,   unittest.TestCase):

  """simple docstring"""







  lowerCamelCase__      					=   FSMTTokenizer
  lowerCamelCase__      					=   False

  def 		SCREAMING_SNAKE_CASE__	( self     )-> List[Any]:
     super().setUp()

     # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
     __A				 =       [
         '''l''',
         '''o''',
         '''w''',
         '''e''',
         '''r''',
         '''s''',
         '''t''',
         '''i''',
         '''d''',
         '''n''',
         '''w</w>''',
         '''r</w>''',
         '''t</w>''',
         '''lo''',
         '''low''',
         '''er</w>''',
         '''low</w>''',
         '''lowest</w>''',
         '''newer</w>''',
         '''wider</w>''',
         '''<unk>''',
     ]
     __A				 =       dict(zip(UpperCAmelCase  ,    range(len(UpperCAmelCase     )     )     )     )
     __A				 =       ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

     __A				 =       ['''en''', '''ru''']
     __A				 =       {
         '''langs''': self.langs,
         '''src_vocab_size''': 10,
         '''tgt_vocab_size''': 20,
     }

     __A				 =       os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES['''src_vocab_file''']     )
     __A				 =       os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES['''tgt_vocab_file''']     )
     __A				 =       os.path.join(self.tmpdirname  ,    '''tokenizer_config.json'''     )
     __A				 =       os.path.join(self.tmpdirname  ,    VOCAB_FILES_NAMES['''merges_file''']     )
     with open(self.src_vocab_file  ,    '''w'''     ) as fp:
        fp.write(json.dumps(UpperCAmelCase     )     )
     with open(self.tgt_vocab_file  ,    '''w'''     ) as fp:
        fp.write(json.dumps(UpperCAmelCase     )     )
     with open(self.merges_file  ,    '''w'''     ) as fp:
        fp.write('''\n'''.join(UpperCAmelCase     )     )
     with open(UpperCAmelCase  ,    '''w'''     ) as fp:
        fp.write(json.dumps(UpperCAmelCase     )     )

  @cached_property
  def 		SCREAMING_SNAKE_CASE__	( self     )-> Optional[int]:
     return FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''     )

  @cached_property
  def 		SCREAMING_SNAKE_CASE__	( self     )-> Optional[Any]:
     return FSMTTokenizer.from_pretrained('''facebook/wmt19-en-ru'''     )

  def 		SCREAMING_SNAKE_CASE__	( self     )-> Dict:
     __A				 =       FSMTTokenizer.from_pretrained(UpperCAmelCase     )
     self.assertListEqual([tokenizer.src_lang, tokenizer.tgt_lang]  ,    ['''en''', '''ru''']     )
     self.assertEqual(tokenizer.src_vocab_size  ,    21     )
     self.assertEqual(tokenizer.tgt_vocab_size  ,    21     )

  def 		SCREAMING_SNAKE_CASE__	( self     )-> Union[str, Any]:
     __A				 =       FSMTTokenizer(self.langs  ,    self.src_vocab_file  ,    self.tgt_vocab_file  ,    self.merges_file     )

     __A				 =       '''lower'''
     __A				 =       ['''low''', '''er</w>''']
     __A				 =       tokenizer.tokenize(UpperCAmelCase     )
     self.assertListEqual(UpperCAmelCase  ,    UpperCAmelCase     )

     __A				 =       tokens + ['''<unk>''']
     __A				 =       [14, 15, 20]
     self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase     )  ,    UpperCAmelCase     )

  @slow
  def 		SCREAMING_SNAKE_CASE__	( self     )-> Any:
     __A				 =       self.tokenizer_ru_en

     __A				 =       tokenizer.encode('''sequence builders'''  ,    add_special_tokens=UpperCAmelCase     )
     __A				 =       tokenizer.encode('''multi-sequence build'''  ,    add_special_tokens=UpperCAmelCase     )

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

     assert encoded_sentence == text + [2]
     assert encoded_pair == text + [2] + text_a + [2]

  @slow
  def 		SCREAMING_SNAKE_CASE__	( self     )-> Dict:
     __A				 =       self.tokenizer_en_ru
     __A				 =       self.tokenizer_ru_en

     __A				 =       [
         [
             '''Here\'s a little song I wrote. Don\'t worry, be happy.''',
             [24_70, 39, 11, 23_49, 72_22, 70, 59_79, 7, 84_50, 10_50, 1_31_60, 5, 26, 64_45, 7, 2],
         ],
         ['''This is it. No more. I\'m done!''', [1_32, 21, 37, 7, 14_34, 86, 7, 70, 64_76, 13_05, 4_27, 2]],
     ]

     # if data needs to be recreated or added, run:
     # import torch
     # model = torch.hub.load("pytorch/fairseq", "transformer.wmt19.en-ru", checkpoint_file="model4.pt", tokenizer="moses", bpe="fastbpe")
     # for src_text, _ in targets: print(f"""[\n"{src_text}",\n {model.encode(src_text).tolist()}\n],""")

     for src_text, tgt_input_ids in targets:
        __A				 =       tokenizer_enc.encode(UpperCAmelCase  ,    return_tensors=UpperCAmelCase     )
        self.assertListEqual(UpperCAmelCase  ,    UpperCAmelCase     )

        # and decode backward, using the reversed languages model
        __A				 =       tokenizer_dec.decode(UpperCAmelCase  ,    skip_special_tokens=UpperCAmelCase     )
        self.assertEqual(UpperCAmelCase  ,    UpperCAmelCase     )

  @slow
  def 		SCREAMING_SNAKE_CASE__	( self     )-> str:
     __A				 =       FSMTTokenizer.from_pretrained('''facebook/wmt19-ru-en'''  ,    do_lower_case=UpperCAmelCase     )
     __A				 =       tokenizer.tokenize('''USA is United States of America'''     )
     __A				 =       ['''us''', '''a</w>''', '''is</w>''', '''un''', '''i''', '''ted</w>''', '''st''', '''ates</w>''', '''of</w>''', '''am''', '''er''', '''ica</w>''']
     self.assertListEqual(UpperCAmelCase  ,    UpperCAmelCase     )

  @unittest.skip('''FSMTConfig.__init__  requires non-optional args'''     )
  def 		SCREAMING_SNAKE_CASE__	( self     )-> Optional[int]:
     pass





  @unittest.skip('''FSMTConfig.__init__  requires non-optional args'''     )
  def 		SCREAMING_SNAKE_CASE__	( self     )-> Optional[Any]:
     pass

