
'''simple docstring'''


import os

import numpy
import onnx



def 			__snake_case  (     _UpperCAmelCase       :							Optional[Any],   _UpperCAmelCase       :							Tuple):
   UpperCamelCase	  =	a.name
   UpperCamelCase	  =	b.name

   UpperCamelCase	  =	''''''
   UpperCamelCase	  =	''''''

   UpperCamelCase	  =	a == b

   UpperCamelCase	  =	name_a
   UpperCamelCase	  =	name_b

   return res



def 			__snake_case  (     _UpperCAmelCase       :							str,   _UpperCAmelCase       :							Union[str, Any],   _UpperCAmelCase       :							Optional[Any]):
   for i, input_name in enumerate(node_proto.input):
      if input_name == name:
         node_proto.input.insert(UpperCamelCase__,   UpperCamelCase__)
         node_proto.input.pop(i + 1)

   if node_proto.op_type == "If":
      _graph_replace_input_with(node_proto.attribute[0].g,   UpperCamelCase__,   UpperCamelCase__)
      _graph_replace_input_with(node_proto.attribute[1].g,   UpperCamelCase__,   UpperCamelCase__)
   if node_proto.op_type == "Loop":
      _graph_replace_input_with(node_proto.attribute[0].g,   UpperCamelCase__,   UpperCamelCase__)



def 			__snake_case  (     _UpperCAmelCase       :							Optional[Any],   _UpperCAmelCase       :							int,   _UpperCAmelCase       :							Any):
   for n in graph_proto.node:
      _node_replace_input_with(UpperCamelCase__,   UpperCamelCase__,   UpperCamelCase__)



def 			__snake_case  (     _UpperCAmelCase       :							Any,   _UpperCAmelCase       :							Optional[Any],   _UpperCAmelCase       :							Tuple):
   UpperCamelCase	  =	list(model.graph.initializer)
   UpperCamelCase	  =	list(model_without_ext.graph.initializer)
   for i, ref_i in ind_to_replace:
      assert inits_with_data[i].name == inits[i].name
      assert inits_with_data[ref_i].name == inits[ref_i].name
      assert i > ref_i

      UpperCamelCase	  =	inits[i].name
      UpperCamelCase	  =	inits[ref_i].name

      model_without_ext.graph.initializer.remove(inits[i])

      # for n in model.graph.node:
      _graph_replace_input_with(model_without_ext.graph,   UpperCamelCase__,   UpperCamelCase__)



def 			__snake_case  (     _UpperCAmelCase       :							Tuple):
   UpperCamelCase	  =	os.path.dirname(UpperCamelCase__)
   UpperCamelCase	  =	os.path.basename(UpperCamelCase__)

   UpperCamelCase	  =	onnx.load(os.path.join(UpperCamelCase__,   UpperCamelCase__))

   UpperCamelCase	  =	list(model.graph.initializer)

   UpperCamelCase	  =	set()
   UpperCamelCase	  =	{}
   UpperCamelCase	  =	[]

   UpperCamelCase	  =	0

   for i in range(len(UpperCamelCase__)):
      if i in dup_set:
         continue

      for j in range(i + 1,   len(UpperCamelCase__)):
         if j in dup_set:
            continue
         if _is_equal_tensor_proto(inits[i],   inits[j]):
            dup_set.add(UpperCamelCase__)
            dup_set.add(UpperCamelCase__)

            UpperCamelCase	  =	inits[j].data_type
            UpperCamelCase	  =	numpy.prod(inits[j].dims)
            if dtype == 1:
               mem_size *= 4
            elif dtype == 6:
               mem_size *= 4
            elif dtype == 7 or dtype == 11:
               mem_size *= 8
            else:
               print('''unexpected data type: ''',   UpperCamelCase__)
            total_reduced_size += mem_size

            UpperCamelCase	  =	inits[i].name
            UpperCamelCase	  =	inits[j].name

            if name_i in dup_map:
               dup_map[name_i].append(UpperCamelCase__)
            else:
               UpperCamelCase	  =	[name_j]
            ind_to_replace.append((j, i))

   print('''total reduced size: ''',   total_reduced_size / 1024 / 1024 / 1024,   '''GB''')

   UpperCamelCase	  =	sorted(UpperCamelCase__)
   _remove_dup_initializers_from_model(UpperCamelCase__,   UpperCamelCase__,   UpperCamelCase__)

   UpperCamelCase	  =	'''optimized_''' + model_file_name
   UpperCamelCase	  =	os.path.join(UpperCamelCase__,   UpperCamelCase__)
   onnx.save(UpperCamelCase__,   UpperCamelCase__)

   return new_model












import json
import os
import unittest

from transformers.models.ctrl.tokenization_ctrl import VOCAB_FILES_NAMES, CTRLTokenizer

from ...test_tokenization_common import TokenizerTesterMixin




class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__							,   unittest.TestCase ):
 __SCREAMING_SNAKE_CASE							=      CTRLTokenizer
 __SCREAMING_SNAKE_CASE							=      False
 __SCREAMING_SNAKE_CASE							=      False



 def 							UpperCamelCase     (				self					):
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        A__		   =		['''adapt''', '''re@@''', '''a@@''', '''apt''', '''c@@''', '''t''', '''<unk>''']
        A__		   =		dict(zip(__lowerCamelCase,range(len(__lowerCamelCase					)					)					)					)
        A__		   =		['''#version: 0.2''', '''a p''', '''ap t</w>''', '''r e''', '''a d''', '''ad apt</w>''', '''''']
        A__		   =		{'''unk_token''': '''<unk>'''}

        A__		   =		os.path.join(self.tmpdirname,VOCAB_FILES_NAMES['''vocab_file''']					)
        A__		   =		os.path.join(self.tmpdirname,VOCAB_FILES_NAMES['''merges_file''']					)
        with open(self.vocab_file,'''w''',encoding='''utf-8'''					) as fp:
               fp.write(json.dumps(__lowerCamelCase					) + '''\n'''					)
        with open(self.merges_file,'''w''',encoding='''utf-8'''					) as fp:
               fp.write('''\n'''.join(__lowerCamelCase					)					)



 def 							UpperCamelCase     (				self,**__lowerCamelCase					):
        kwargs.update(self.special_tokens_map					)
        return CTRLTokenizer.from_pretrained(self.tmpdirname,**__lowerCamelCase					)



 def 							UpperCamelCase     (				self,__lowerCamelCase					):
        A__		   =		'''adapt react readapt apt'''
        A__		   =		'''adapt react readapt apt'''
        return input_text, output_text




 def 							UpperCamelCase     (				self					):
        A__		   =		CTRLTokenizer(self.vocab_file,self.merges_file,**self.special_tokens_map					)
        A__		   =		'''adapt react readapt apt'''
        A__		   =		'''adapt re@@ a@@ c@@ t re@@ adapt apt'''.split()
        A__		   =		tokenizer.tokenize(__lowerCamelCase					)
        self.assertListEqual(__lowerCamelCase,__lowerCamelCase					)

        A__		   =		tokens + [tokenizer.unk_token]

        A__		   =		[0, 1, 2, 4, 5, 1, 0, 3, 6]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowerCamelCase					),__lowerCamelCase					)





