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[fix] bug on windows #87

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[fix] bug on windows #87

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15 changes: 6 additions & 9 deletions h5py_wrapper/wrapper.py
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,6 @@
import h5py
import numpy as np
import os
import re
from subprocess import call
import warnings

Expand Down Expand Up @@ -172,8 +171,8 @@ def _dict_to_h5(f, d, overwrite_dataset, compression=None, parent_group=None):
if parent_group is None:
parent_group = f.parent
for key, value in d.items():
if isinstance(value, collections.MutableMapping):
group_name = os.path.join(parent_group.name, str(key))
if isinstance(value, collections.abc.MutableMapping):
group_name = parent_group.name + '/' + str(key)
group = f.require_group(group_name)
_dict_to_h5(f, value, overwrite_dataset, parent_group=group,
compression=compression)
Expand All @@ -191,8 +190,7 @@ def _dict_to_h5(f, d, overwrite_dataset, compression=None, parent_group=None):
compression=compression)
else:
raise KeyError("Dataset {key} already "
"exists.".format(key=os.path.join(
parent_group.name, key)))
"exists.".format(key= parent_group.name + "/" + key))


def _create_dataset(parent_group, key, value, compression=None):
Expand All @@ -209,8 +207,7 @@ def _create_dataset(parent_group, key, value, compression=None):
# This does not work for more than two dimensions.
if len(np.shape(value)) > 1:
raise ValueError("Dataset {key} has an unsupported "
"format.".format(key=os.path.join(
parent_group.name, key)))
"format.".format(key=parent_group.name + '/' + key))
else:
oldshape = np.array([len(x) for x in value])
value_types = lib.convert_iterable_to_numpy_array([type(x).__name__ for x in value])
Expand All @@ -227,7 +224,7 @@ def _create_dataset(parent_group, key, value, compression=None):
dataset = parent_group.create_dataset(
str(key), data=lib.convert_iterable_to_numpy_array(value), compression=compression)
# ignore compression argument for scalar datasets
elif not isinstance(value, collections.Iterable):
elif not isinstance(value, collections.abc.Iterable):
dataset = parent_group.create_dataset(str(key), data=value)
else:
dataset = parent_group.create_dataset(
Expand Down Expand Up @@ -281,7 +278,7 @@ def _load_dataset(f, lazy=False):
return _cast_value_type(f.value, value_type,
unit=f.attrs['_unit'])
else:
return _cast_value_type(f.value, value_type)
return _cast_value_type(f[()], value_type)


def _evaluate_key(f):
Expand Down