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./numpy_ml/rl_models/trainer.py:75:61: F821 undefined name 'smooth_tot'
smooth_tot = tot_rwd if ep == 0 else (1 - sf) * smooth_tot + sf * tot_rwd
^
./numpy_ml/neural_nets/models/w2v.py:303:38: F821 undefined name 'smooth_loss'
smooth_loss = 0.99 * smooth_loss + 0.01 * loss if ix > 0 else loss
^
./numpy_ml/neural_nets/layers/layers.py:1845:14: F632 use ==/!= to compare str, bytes, and int literals
elif self.pool is "sum":
^
./numpy_ml/neural_nets/layers/layers.py:1848:14: F632 use ==/!= to compare str, bytes, and int literals
elif self.pool is "mean":
^
2 F632 use ==/!= to compare str, bytes, and int literals
2 F821 undefined name 'smooth_loss'
4
E901,E999,F821,F822,F823 are the "showstopper" flake8 issues that can halt the runtime with a SyntaxError, NameError, etc. These 5 are different from most other flake8 issues which are merely "style violations" -- useful for readability but they do not effect runtime safety.
F821: undefined name name
F822: undefined name name in __all__
F823: local variable name referenced before assignment
E901: SyntaxError or IndentationError
E999: SyntaxError -- failed to compile a file into an Abstract Syntax Tree
The text was updated successfully, but these errors were encountered:
flake8 testing of https://github.com/ddbourgin/numpy-ml on Python 3.7.1
$ flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
E901,E999,F821,F822,F823 are the "showstopper" flake8 issues that can halt the runtime with a SyntaxError, NameError, etc. These 5 are different from most other flake8 issues which are merely "style violations" -- useful for readability but they do not effect runtime safety.
name
name
in__all__
The text was updated successfully, but these errors were encountered: