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Prep.py throws an AssertionError #26

@Gandhi-uses-nukes

Description

@Gandhi-uses-nukes

Hi,

I just wanted to try the tutorial after I found this video on YouTube:
https://www.youtube.com/watch?v=5Md_sSsN51k

I use Anaconda on Windows 10, installed all necessary packages and after I tried to execute the first line in the notebook, I get the following error:

---------------------------------------------------------------------------
AssertionError                            Traceback (most recent call last)
C:\Users\Name\Documents\Python Scripts\parallel-tutorial-master\parallel-tutorial-master\prep.py in <module>()
     39 
     40 for symbol in stocks:
---> 41     write_stock(symbol)
     42 
     43 

C:\Users\Name\Documents\Python Scripts\parallel-tutorial-master\parallel-tutorial-master\prep.py in write_stock(symbol)
     35         names = [str(ts.date()) for ts in df.divisions]
     36         df.to_csv(os.path.join(here, 'data', 'minute', symbol, '*.csv'),
---> 37                   name_function=names.__getitem__)
     38         print("Finished CSV: %s" % symbol)
     39 

C:\Users\Name\Anaconda3\lib\site-packages\dask\dataframe\core.py in to_csv(self, filename, **kwargs)
    957         """ See dd.to_csv docstring for more information """
    958         from .io import to_csv
--> 959         return to_csv(self, filename, **kwargs)
    960 
    961     def to_delayed(self):

C:\Users\Name\Anaconda3\lib\site-packages\dask\dataframe\io\csv.py in to_csv(df, filename, name_function, compression, compute, get, storage_options, **kwargs)
    503 
    504     if compute:
--> 505         delayed(values).compute(get=get)
    506     else:
    507         return values

C:\Users\Name\Anaconda3\lib\site-packages\dask\base.py in compute(self, **kwargs)
     97             Extra keywords to forward to the scheduler ``get`` function.
     98         """
---> 99         (result,) = compute(self, traverse=False, **kwargs)
    100         return result
    101 

C:\Users\Name\Anaconda3\lib\site-packages\dask\base.py in compute(*args, **kwargs)
    204     dsk = collections_to_dsk(variables, opNameize_graph, **kwargs)
    205     keys = [var._keys() for var in variables]
--> 206     results = get(dsk, keys, **kwargs)
    207 
    208     results_iter = iter(results)

C:\Users\Name\Anaconda3\lib\site-packages\dask\threaded.py in get(dsk, result, cache, num_workers, **kwargs)
     73     results = get_async(pool.apply_async, len(pool._pool), dsk, result,
     74                         cache=cache, get_id=_thread_get_id,
---> 75                         pack_exception=pack_exception, **kwargs)
     76 
     77     # Cleanup pools associated to dead threads

C:\Users\Name\Anaconda3\lib\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)
    519                         _execute_task(task, data)  # Re-execute locally
    520                     else:
--> 521                         raise_exception(exc, tb)
    522                 res, worker_id = loads(res_info)
    523                 state['cache'][key] = res

C:\Users\Name\Anaconda3\lib\site-packages\dask\compatibility.py in reraise(exc, tb)
     58         if exc.__traceback__ is not tb:
     59             raise exc.with_traceback(tb)
---> 60         raise exc
     61 
     62 else:

C:\Users\Name\Anaconda3\lib\site-packages\dask\local.py in execute_task(key, task_info, dumps, loads, get_id, pack_exception)
    288     try:
    289         task, data = loads(task_info)
--> 290         result = _execute_task(task, data)
    291         id = get_id()
    292         result = dumps((result, id))

C:\Users\Name\Anaconda3\lib\site-packages\dask\local.py in _execute_task(arg, cache, dsk)
    269         func, args = arg[0], arg[1:]
    270         args2 = [_execute_task(a, cache) for a in args]
--> 271         return func(*args2)
    272     elif not ishashable(arg):
    273         return arg

C:\Users\Name\Anaconda3\lib\site-packages\dask\compatibility.py in apply(func, args, kwargs)
     45     def apply(func, args, kwargs=None):
     46         if kwargs:
---> 47             return func(*args, **kwargs)
     48         else:
     49             return func(*args)

C:\Users\Name\Anaconda3\lib\site-packages\dask\dataframe\io\demo.py in generate_day(date, open, high, low, close, volume, freq, random_state)
    114         values += np.linspace(open - values[0], close - values[-1],
    115                               len(values))  # endpoints
--> 116         assert np.allclose(open, values[0])
    117         assert np.allclose(close, values[-1])
    118 

AssertionError: 

I also tried it unter MacOS Sierra with Miniconda and an extra enviroment as well as under Ubuntu 17.04 with Miniconda. And now I am out of operating systems 😄

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