Not a single example in README is running properly. #34

Open
Open
Not a single example in README is running properly.#34

Description

@estathop
estathop
opened on Jul 24, 2018

I tried to execute every single example from the initial README page, but everything throws different errors.

transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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      Skip to content
      Not a single example in README is running properly. #34
      Open
      Open
      Not a single example in README is running properly.#34
      Description
      @estathop
      estathop
      opened on Jul 24, 2018
      I tried to execute every single example from the initial README page, but everything throws different errors.
      transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

      from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

      In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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, 'i');
if (__m === '*' || __re.test(location.href)) {
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})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

          Skip to content
          Not a single example in README is running properly. #34
          Open
          Open
          Not a single example in README is running properly.#34
          Description
          @estathop
          estathop
          opened on Jul 24, 2018
          I tried to execute every single example from the initial README page, but everything throws different errors.
          transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

          from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

          In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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, 'i');
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(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

              Skip to content
              Not a single example in README is running properly. #34
              Open
              Open
              Not a single example in README is running properly.#34
              Description
              @estathop
              estathop
              opened on Jul 24, 2018
              I tried to execute every single example from the initial README page, but everything throws different errors.
              transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

              from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

              In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
}
} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
try {
var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

                  Skip to content
                  Not a single example in README is running properly. #34
                  Open
                  Open
                  Not a single example in README is running properly.#34
                  Description
                  @estathop
                  estathop
                  opened on Jul 24, 2018
                  I tried to execute every single example from the initial README page, but everything throws different errors.
                  transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                  from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                  In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                      Skip to content
                      Not a single example in README is running properly. #34
                      Open
                      Open
                      Not a single example in README is running properly.#34
                      Description
                      @estathop
                      estathop
                      opened on Jul 24, 2018
                      I tried to execute every single example from the initial README page, but everything throws different errors.
                      transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                      from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                      In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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                          None yet
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                          No branches or pull requests
                          Issue actions
                          
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

                          Skip to content
                          Not a single example in README is running properly. #34
                          Open
                          Open
                          Not a single example in README is running properly.#34
                          Description
                          @estathop
                          estathop
                          opened on Jul 24, 2018
                          I tried to execute every single example from the initial README page, but everything throws different errors.
                          transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                          from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                          In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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                            No labels
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                              No milestone
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                              No branches or pull requests
                              Issue actions
                              
, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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                              Not a single example in README is running properly. #34
                              Open
                              Open
                              Not a single example in README is running properly.#34
                              Description
                              @estathop
                              estathop
                              opened on Jul 24, 2018
                              I tried to execute every single example from the initial README page, but everything throws different errors.
                              transformer = Seq2VecR2RWord(
word2vec_model=word2vec,
max_length=max_length,
latent_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-42-34cf056a2e62>", line 6, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 55, in __init__
learning_rate=learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_word.py", line 89, in create_model
)(masked_inputs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                              from seq2vec import Seq2VecR2RHash
transformer = Seq2VecR2RHash(
max_index=1000,
max_length=10,
latent_size=20,
embedding_size=200,
encoding_size=300,
learning_rate=0.05
)
Traceback (most recent call last):
File "<ipython-input-38-0274b84666d1>", line 9, in <module>
learning_rate=0.05
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 58, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_R2R_hash.py", line 96, in create_model
)(char_embedding)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/layers/wrappers.py", line 325, in __call__
return super(Bidirectional, self).__call__(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/bidirectional_rnn_encoder.py", line 31, in call
func_args = inspect.getfullargspec(self.layer.call).args
AttributeError: 'module' object has no attribute 'getfullargspec'

                              In [37]: transformer = Seq2VecC2RChar(
word2vec_model=word2vec,
max_index=1000,
max_length=20,
embedding_size=200,
latent_size=200,
learning_rate=0.05,
channel_size=10,
conv_size=5
)
Traceback (most recent call last):
File "<ipython-input-37-1396dd8326f9>", line 9, in <module>
conv_size=5
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 69, in __init__
learning_rate
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_base.py", line 68, in __init__
self.model, self.encoder = self.create_model()
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/seq2vec/model/seq2vec_C2R_char.py", line 153, in create_model
)(encoded_feature)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/keras/engine/topology.py", line 619, in __call__
output = self.call(inputs, **kwargs)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_decoder.py", line 95, in call
constants = self.layer.get_constants(inputs, training=None)
File "/home/estathop/anaconda2/envs/tensorflow/lib/python2.7/site-packages/yklz/recurrent/rnn_cell.py", line 277, in get_constants
constants = self.recurrent_layer.get_constants(
AttributeError: 'LSTM' object has no attribute 'get_constants'

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