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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/08/01 22:33:32 UTC

[GitHub] cclauss commented on issue #8270: 43 Undefined names in Python code

cclauss commented on issue #8270: 43 Undefined names in Python code
URL: https://github.com/apache/incubator-mxnet/issues/8270#issuecomment-409746782
 
 
   
   flake8 testing of https://github.com/apache/incubator-mxnet on Python 3.7.0
   
   $ __flake8 . --count --select=E901,E999,F821,F822,F823 --show-source --statistics__
   ```
   /home/travis/virtualenv/python3.7.0/lib/python3.7/site-packages/pycodestyle.py:113: FutureWarning: Possible nested set at position 1
     EXTRANEOUS_WHITESPACE_REGEX = re.compile(r'[[({] | []}),;:]')
   ./example/reinforcement-learning/a3c/a3c.py:206:16: F821 undefined name 'robo_data'
       dataiter = robo_data.RobosimsDataIter('scenes', args.batch_size, args.input_length, web_viz=True)
                  ^
   ./example/ssd/dataset/pycocotools/coco.py:266:41: F821 undefined name 'm'
                           img = np.ones( (m.shape[0], m.shape[1], 3) )
                                           ^
   ./example/ssd/dataset/pycocotools/coco.py:266:53: F821 undefined name 'm'
                           img = np.ones( (m.shape[0], m.shape[1], 3) )
                                                       ^
   ./example/ssd/dataset/pycocotools/coco.py:273:52: F821 undefined name 'm'
                           ax.imshow(np.dstack( (img, m*0.5) ))
                                                      ^
   ./example/ssd/dataset/pycocotools/coco.py:435:16: F821 undefined name 'm'
           return m
                  ^
   ./example/ssd/symbol/common.py:209:23: F821 undefined name 'start_offset'
            min_sizes = [start_offset] + tmp.tolist()
                         ^
   ./example/ssd/symbol/common.py:210:46: F821 undefined name 'start_offset'
            max_sizes = tmp.tolist() + [tmp[-1]+start_offset]
                                                ^
   ./example/fcn-xs/image_segmentaion.py:100:60: F821 undefined name 'ctx'
       fcnxs_args["data"] = mx.nd.array(get_data(args.input), ctx)
                                                              ^
   ./example/fcn-xs/image_segmentaion.py:103:60: F821 undefined name 'ctx'
       fcnxs_args["softmax_label"] = mx.nd.empty(label_shape, ctx)
                                                              ^
   ./example/fcn-xs/image_segmentaion.py:104:26: F821 undefined name 'ctx'
       exector = fcnxs.bind(ctx, fcnxs_args, args_grad=None, grad_req="null", aux_states=fcnxs_args)
                            ^
   ./example/neural-style/end_to_end/model_vgg19.py:94:17: F821 undefined name 'out'
       arg_names = out.list_arguments()
                   ^
   ./example/neural-style/end_to_end/model_vgg19.py:105:16: F821 undefined name 'out'
       executor = out.bind(ctx=ctx, args=arg_dict, args_grad=[], grad_req="null")
                  ^
   ./example/sparse/factorization_machine/metric.py:111:22: F821 undefined name 'label_zero_num'
           total_area = label_zero_num * label_one_num
                        ^
   ./example/sparse/factorization_machine/metric.py:111:39: F821 undefined name 'label_one_num'
           total_area = label_zero_num * label_one_num
                                         ^
   ./example/profiler/profiler_executor.py:89:15: F821 undefined name 'search_plan'
           sym = search_plan(sym, data=data_shapes)
                 ^
   ./example/profiler/profiler_executor.py:89:37: F821 undefined name 'data_shapes'
           sym = search_plan(sym, data=data_shapes)
                                       ^
   ./python/mxnet/initializer.py:700:20: F821 undefined name '_INITIALIZER_REGISTRY'
               init = _INITIALIZER_REGISTRY[klass.lower()](**kwargs)
                      ^
   ./python/mxnet/optimizer.py:718:34: F821 undefined name 'array'
               weight_master_copy = array(weight, ctx=weight.context, dtype=numpy.float32)
                                    ^
   ./python/mxnet/optimizer.py:769:16: F821 undefined name 'multiply'
           norm = multiply(v, v).asnumpy().sum()
                  ^
   ./tests/python/unittest/test_engine_import.py:33:13: F821 undefined name 'reload'
               reload(mxnet)
               ^
   ./tests/nightly/model_backwards_compatibility_check/common.py:214:12: F821 undefined name 'cmp'
       return cmp(normalize(version1), normalize(version2))
              ^
   ./docs/mxdoc.py:75:16: F821 undefined name 'root_path'
       pdf_path = root_path + '/docs/api/r/mxnet-r-reference-manual.pdf'
                  ^
   22    F821 undefined name 'root_path'
   22
   ```

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