Dependency cleanup (#666) fixes #663

* fix dependency issues

* remove py36 test

.github/workflows/python-app.yml

@@ -15,7 +15,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.6, 3.7, 3.8, 3.9]
+        python-version: [3.7, 3.8, 3.9]
     steps:
     - uses: actions/checkout@v2
     - name: Set up Python ${{ matrix.python-version }}

setup.py

@@ -43,17 +43,10 @@ def run(self):
     f.write('\n__version__ = "{}"\n'.format(version_git))
 
 requirements = [
-    'six',
     'numpy',
-    'protobuf >= 3.8.0',
+    'protobuf >= 3.8.0, <=3.20.1',
 ]
 
-test_requirements = [
-    'future'
-    'pytest',
-    'matplotlib',
-    'crc32c',
-]
 
 setup(
     name='tensorboardX',
@@ -74,16 +67,14 @@ def run(self):
         'License :: OSI Approved :: MIT License',
         'Natural Language :: English',
         'Programming Language :: Python :: 3',
-        'Programming Language :: Python :: 3.6',
         'Programming Language :: Python :: 3.7',
         'Programming Language :: Python :: 3.8',
+        'Programming Language :: Python :: 3.9',
     ],
     cmdclass={
         'develop': PostDevelopCommand,
         'install': PostInstallCommand,
     },
-    test_suite='tests',
-    tests_require=test_requirements
 )
 
 

tensorboardX/caffe2_graph.py

@@ -7,7 +7,6 @@
 import logging
 import os
 import re
-import six
 
 from builtins import bytes
 from caffe2.proto import caffe2_pb2
@@ -166,7 +165,7 @@ def _remap_keys(old_dict, rename_fn):
         None. Modifies old_dict in-place.
     '''
     new_dict = {rename_fn(key): value for key,
-                value in six.iteritems(old_dict)}
+                value in old_dict.items()}
     old_dict.clear()
     old_dict.update(new_dict)
 

tensorboardX/event_file_writer.py

@@ -23,7 +23,7 @@
 import threading
 import time
 import multiprocessing
-import six
+import queue
 
 from .proto import event_pb2
 from .record_writer import RecordWriter, directory_check
@@ -207,7 +207,7 @@ def run(self):
                     return
                 self._record_writer.write_event(data)
                 self._has_pending_data = True
-            except six.moves.queue.Empty:
+            except queue.Empty:
                 pass
 
             now = time.time()

tensorboardX/summary.py

@@ -8,7 +8,6 @@
 import re as _re
 
 # pylint: disable=unused-import
-from six.moves import range
 
 from .proto.summary_pb2 import Summary
 from .proto.summary_pb2 import HistogramProto
@@ -70,7 +69,6 @@ def _draw_single_box(image, xmin, ymin, xmax, ymax, display_str, color='black',
 def hparams(hparam_dict=None, metric_dict=None):
     from tensorboardX.proto.plugin_hparams_pb2 import HParamsPluginData, SessionEndInfo, SessionStartInfo
     from tensorboardX.proto.api_pb2 import Experiment, HParamInfo, MetricInfo, MetricName, Status, DataType
-    from six import string_types
 
     PLUGIN_NAME = 'hparams'
     PLUGIN_DATA_VERSION = 0
@@ -91,7 +89,7 @@ def hparams(hparam_dict=None, metric_dict=None):
         if v is None:
             continue
 
-        if isinstance(v, string_types):
+        if isinstance(v, str):
             ssi.hparams[k].string_value = v
             hps.append(HParamInfo(name=k, type=DataType.Value("DATA_TYPE_STRING")))
             continue

tensorboardX/torchvis.py

@@ -4,7 +4,6 @@
 from __future__ import unicode_literals
 
 import gc
-import six
 import time
 
 from functools import wraps
@@ -43,15 +42,15 @@ def unregister(self, *args):
             gc.collect()
 
     def __getattr__(self, attr):
-        for _, subscriber in six.iteritems(self.subscribers):
+        for _, subscriber in self.subscribers.items():
             def wrapper(*args, **kwargs):
-                for _, subscriber in six.iteritems(self.subscribers):
+                for _, subscriber in self.subscribers.items():
                     if hasattr(subscriber, attr):
                         getattr(subscriber, attr)(*args, **kwargs)
             return wrapper
         raise AttributeError
 
     # Handle writer management (open/close) for the user
     def __del__(self):
-        for _, subscriber in six.iteritems(self.subscribers):
+        for _, subscriber in self.subscribers.items():
             subscriber.close()

tensorboardX/writer.py

@@ -8,7 +8,6 @@
 import json
 import os
 import numpy
-import six
 import time
 import logging
 import atexit
@@ -337,7 +336,7 @@ def _check_caffe2_blob(self, item):
         workspace.FetchBlob(blob_name)
         workspace.FetchBlobs([blob_name1, blob_name2, ...])
         """
-        return isinstance(item, six.string_types)
+        return isinstance(item, str)
 
     def _get_file_writer(self):
         """Returns the default FileWriter instance. Recreates it if closed."""
@@ -558,7 +557,7 @@ def add_histogram(
         """
         if self._check_caffe2_blob(values):
             values = workspace.FetchBlob(values)
-        if isinstance(bins, six.string_types) and bins == 'tensorflow':
+        if isinstance(bins, str) and bins == 'tensorflow':
             bins = self.default_bins
         self._get_file_writer().add_summary(
             histogram(tag, values, bins, max_bins=max_bins), global_step, walltime)

tensorboardX/x2num.py

@@ -5,7 +5,6 @@
 
 import logging
 import numpy as np
-import six
 logger = logging.getLogger(__name__)
 
 
@@ -21,7 +20,7 @@ def make_np(x):
         return check_nan(np.array(x))
     if isinstance(x, np.ndarray):
         return check_nan(x)
-    if isinstance(x, six.string_types):  # Caffe2 will pass name of blob(s) to fetch
+    if isinstance(x, str):  # Caffe2 will pass name of blob(s) to fetch
         return check_nan(prepare_caffe2(x))
     if np.isscalar(x):
         return check_nan(np.array([x]))

test-requirements.txt

@@ -1,13 +1,11 @@
 flake8
 pytest
 torch
-six
-protobuf==3.15
+torchvision
+protobuf==3.20.1
 numpy==1.21.0
-pillow
 tensorboard
 boto3
-future
 matplotlib
 moto
 soundfile

tests/record_writer_test.py

@@ -19,7 +19,6 @@
 from __future__ import division
 from __future__ import print_function
 
-import six
 import os
 from tensorboardX.record_writer import RecordWriter
 from tensorboard.compat.tensorflow_stub.pywrap_tensorflow import PyRecordReader_New