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Include dict comprehension #2

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18 changes: 9 additions & 9 deletions Chapter03/MachineTranslation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -87,15 +87,15 @@ def vocab_generation(self,path,num_samples,verbose=True):
print('Number of unique output tokens:', self.num_decoder_words)
print('Max sequence length for inputs:', self.max_encoder_seq_length)
print('Max sequence length for outputs:', self.max_decoder_seq_length)
self.input_word_index = dict(
[(word, i) for i, word in enumerate(input_words)])
self.target_word_index = dict(
[(word, i) for i, word in enumerate(target_words)])
self.reverse_input_word_dict = dict(
(i, word) for word, i in self.input_word_index.items())
self.reverse_target_word_dict = dict(
(i, word) for word, i in self.target_word_index.items())

self.input_word_index = {
word: i for i, word in enumerate(input_words)}
self.target_word_index = {
word: i for i, word in enumerate(target_words)}
self.reverse_input_word_dict = {
i: word for word, i in self.input_word_index.items()}
self.reverse_target_word_dict = {
i: word for word, i in self.target_word_index.items()}


def process_input(self,input_texts,target_texts=None,verbose=True):
Expand Down
18 changes: 9 additions & 9 deletions Chapter03/MachineTranslation_word2vec.py
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Original file line number Diff line number Diff line change
Expand Up @@ -87,15 +87,15 @@ def vocab_generation(self,path,num_samples,verbose=True):
print('Number of unique output tokens:', self.num_decoder_words)
print('Max sequence length for inputs:', self.max_encoder_seq_length)
print('Max sequence length for outputs:', self.max_decoder_seq_length)
self.input_word_index = dict(
[(word, i) for i, word in enumerate(input_words)])
self.target_word_index = dict(
[(word, i) for i, word in enumerate(target_words)])
self.reverse_input_word_dict = dict(
(i, word) for word, i in self.input_word_index.items())
self.reverse_target_word_dict = dict(
(i, word) for word, i in self.target_word_index.items())

self.input_word_index = {
word: i for i, word in enumerate(input_words)}
self.target_word_index = {
word: i for i, word in enumerate(target_words)}
self.reverse_input_word_dict = {
i: word for word, i in self.input_word_index.items()}
self.reverse_target_word_dict = {
i: word for word, i in self.target_word_index.items()}


def process_input(self,input_texts,target_texts=None,verbose=True):
Expand Down