File Not Found Error about open_source_demos HOT 11 CLOSED

$ ls -a
.        part_120 part_145 part_17  part_194 part_32  part_57  part_81
..       part_121 part_146 part_170 part_195 part_33  part_58  part_82
part_0   part_122 part_147 part_171 part_196 part_34  part_59  part_83
part_1   part_123 part_148 part_172 part_197 part_35  part_6   part_84
part_10  part_124 part_149 part_173 part_198 part_36  part_60  part_85
part_100 part_125 part_15  part_174 part_199 part_37  part_61  part_86
part_101 part_126 part_150 part_175 part_2   part_38  part_62  part_87
part_102 part_127 part_151 part_176 part_20  part_39  part_63  part_88
part_103 part_128 part_152 part_177 part_200 part_4   part_64  part_89
part_104 part_129 part_153 part_178 part_201 part_40  part_65  part_9
part_105 part_13  part_154 part_179 part_202 part_41  part_66  part_90
part_106 part_130 part_155 part_18  part_203 part_42  part_67  part_91
part_107 part_131 part_156 part_180 part_204 part_43  part_68  part_92
part_108 part_132 part_157 part_181 part_205 part_44  part_69  part_93
part_109 part_133 part_158 part_182 part_206 part_45  part_7   part_94
part_11  part_134 part_159 part_183 part_21  part_46  part_70  part_95
part_110 part_135 part_16  part_184 part_22  part_47  part_71  part_96
part_111 part_136 part_160 part_185 part_23  part_48  part_72  part_97
part_112 part_137 part_161 part_186 part_24  part_49  part_73  part_98
part_113 part_138 part_162 part_187 part_25  part_5   part_74  part_99
part_114 part_139 part_163 part_188 part_26  part_50  part_75
part_115 part_14  part_164 part_189 part_27  part_51  part_76
part_116 part_140 part_165 part_19  part_28  part_52  part_77
part_117 part_141 part_166 part_190 part_29  part_53  part_78
part_118 part_142 part_167 part_191 part_3   part_54  part_79
part_119 part_143 part_168 part_192 part_30  part_55  part_8
part_12  part_144 part_169 part_193 part_31  part_56  part_80

[                                        ] | 0% Completed |  0.1s

FileNotFoundError                         Traceback (most recent call last)
<ipython-input-18-427963b5bcd5> in <module>()
----> 1 fms_out = feature_matrices.compute()
      2 X = pd.concat(fms_out)

~/miniconda3/lib/python3.6/site-packages/dask/base.py in compute(self, **kwargs)
    154         dask.base.compute
    155         """
--> 156         (result,) = compute(self, traverse=False, **kwargs)
    157         return result
    158 

~/miniconda3/lib/python3.6/site-packages/dask/base.py in compute(*args, **kwargs)
    393     keys = [x.__dask_keys__() for x in collections]
    394     postcomputes = [x.__dask_postcompute__() for x in collections]
--> 395     results = schedule(dsk, keys, **kwargs)
    396     return repack([f(r, *a) for r, (f, a) in zip(results, postcomputes)])
    397 

~/miniconda3/lib/python3.6/site-packages/dask/multiprocessing.py in get(dsk, keys, num_workers, func_loads, func_dumps, optimize_graph, **kwargs)
    170                            get_id=_process_get_id, dumps=dumps, loads=loads,
    171                            pack_exception=pack_exception,
--> 172                            raise_exception=reraise, **kwargs)
    173     finally:
    174         if cleanup:

~/miniconda3/lib/python3.6/site-packages/dask/local.py in get_async(apply_async, num_workers, dsk, result, cache, get_id, rerun_exceptions_locally, pack_exception, raise_exception, callbacks, dumps, loads, **kwargs)
    499                         _execute_task(task, data)  # Re-execute locally
    500                     else:
--> 501                         raise_exception(exc, tb)
    502                 res, worker_id = loads(res_info)
    503                 state['cache'][key] = res

~/miniconda3/lib/python3.6/site-packages/dask/compatibility.py in reraise(exc, tb)
    109     def reraise(exc, tb=None):
    110         if exc.__traceback__ is not tb:
--> 111             raise exc.with_traceback(tb)
    112         raise exc
    113 

~/miniconda3/lib/python3.6/site-packages/dask/local.py in execute_task()
    270     try:
    271         task, data = loads(task_info)
--> 272         result = _execute_task(task, data)
    273         id = get_id()
    274         result = dumps((result, id))

~/miniconda3/lib/python3.6/site-packages/dask/local.py in _execute_task()
    251         func, args = arg[0], arg[1:]
    252         args2 = [_execute_task(a, cache) for a in args]
--> 253         return func(*args2)
    254     elif not ishashable(arg):
    255         return arg

~/miniconda3/lib/python3.6/site-packages/dask/bag/core.py in reify()
   1547 def reify(seq):
   1548     if isinstance(seq, Iterator):
-> 1549         seq = list(seq)
   1550     if seq and isinstance(seq[0], Iterator):
   1551         seq = list(map(list, seq))

~/miniconda3/lib/python3.6/site-packages/dask/bag/core.py in map_chunk()
   1706                 yield f(**k)
   1707     else:
-> 1708         for a in zip(*args):
   1709             yield f(*a)
   1710 

~/miniconda3/lib/python3.6/site-packages/dask/bag/core.py in map_chunk()
   1706                 yield f(**k)
   1707     else:
-> 1708         for a in zip(*args):
   1709             yield f(*a)
   1710 

~/miniconda3/lib/python3.6/site-packages/dask/bag/core.py in map_chunk()
   1707     else:
   1708         for a in zip(*args):
-> 1709             yield f(*a)
   1710 
   1711     # Check that all iterators are fully exhausted

~/Py/Featuretools/predict-next-purchase/utils.py in load_entityset()
      5 
      6 def load_entityset(data_dir):
----> 7     order_products = pd.read_csv(os.path.join(data_dir, "order_products__prior.csv"))
      8     orders = pd.read_csv(os.path.join(data_dir, "orders.csv"))
      9     departments = pd.read_csv(os.path.join(data_dir, "departments.csv"))

~/miniconda3/lib/python3.6/site-packages/pandas/io/parsers.py in parser_f()
    676                     skip_blank_lines=skip_blank_lines)
    677 
--> 678         return _read(filepath_or_buffer, kwds)
    679 
    680     parser_f.__name__ = name

~/miniconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _read()
    438 
    439     # Create the parser.
--> 440     parser = TextFileReader(filepath_or_buffer, **kwds)
    441 
    442     if chunksize or iterator:

~/miniconda3/lib/python3.6/site-packages/pandas/io/parsers.py in __init__()
    785             self.options['has_index_names'] = kwds['has_index_names']
    786 
--> 787         self._make_engine(self.engine)
    788 
    789     def close(self):

~/miniconda3/lib/python3.6/site-packages/pandas/io/parsers.py in _make_engine()
   1012     def _make_engine(self, engine='c'):
   1013         if engine == 'c':
-> 1014             self._engine = CParserWrapper(self.f, **self.options)
   1015         else:
   1016             if engine == 'python':

~/miniconda3/lib/python3.6/site-packages/pandas/io/parsers.py in __init__()
   1706         kwds['usecols'] = self.usecols
   1707 
-> 1708         self._reader = parsers.TextReader(src, **kwds)
   1709 
   1710         passed_names = self.names is None

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.__cinit__()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._setup_parser_source()

FileNotFoundError: File b'partitioned_data/.DS_Store/order_products__prior.csv' does not exist

path = "partitioned_data/"
#_, dirnames, _ = os.walk(path).next()
dirnames = [os.path.join(path, d) for d in os.listdir(path)]
b = bag.from_sequence(dirnames)
entity_sets = b.map(utils.load_entityset)