def save_dictionary(data, filename):
"""Save dictionary in a single file .spydata file"""
filename = osp.abspath(filename)
old_cwd = getcwd()
os.chdir(osp.dirname(filename))
error_message = None
# Copy dictionary before modifying to fix #6689
try:
data = copy.deepcopy(data)
except NotImplementedError:
try:
data = copy.copy(data)
except Exception:
data = data
try:
saved_arrays = {}
if load_array is not None:
# Saving numpy arrays with np.save
arr_fname = osp.splitext(filename)[0]
for name in list(data.keys()):
if isinstance(data[name], np.ndarray) and data[name].size > 0:
# Saving arrays at data root
fname = __save_array(data[name], arr_fname,
len(saved_arrays))
saved_arrays[(name, None)] = osp.basename(fname)
data.pop(name)
elif isinstance(data[name], (list, dict)):
# Saving arrays nested in lists or dictionaries
if isinstance(data[name], list):
iterator = enumerate(data[name])
else:
iterator = iter(list(data[name].items()))
to_remove = []
for index, value in iterator:
if isinstance(value, np.ndarray) and value.size > 0:
fname = __save_array(value, arr_fname,
len(saved_arrays))
saved_arrays[(name, index)] = osp.basename(fname)
to_remove.append(index)
for index in sorted(to_remove, reverse=True):
data[name].pop(index)
if saved_arrays:
data['__saved_arrays__'] = saved_arrays
pickle_filename = osp.splitext(filename)[0] + '.pickle'
with open(pickle_filename, 'w+b') as fdesc:
pickle.dump(data, fdesc, 2)
tar = tarfile.open(filename, "w")
for fname in [pickle_filename
] + [fn for fn in list(saved_arrays.values())]:
tar.add(osp.basename(fname))
os.remove(fname)
tar.close()
if saved_arrays:
data.pop('__saved_arrays__')
except (RuntimeError, pickle.PicklingError, TypeError) as error:
error_message = to_text_string(error)
os.chdir(old_cwd)
return error_message
def load_dictionary(filename):
"""Load dictionary from .spydata file"""
filename = osp.abspath(filename)
old_cwd = getcwd()
tmp_folder = tempfile.mkdtemp()
os.chdir(tmp_folder)
data = None
error_message = None
try:
tar = tarfile.open(filename, "r")
tar.extractall()
data_file = osp.basename(filename)
pickle_filename = osp.splitext(data_file)[0] + '.pickle'
try:
# Old format (Spyder 2.0-2.1 for Python 2)
with open(pickle_filename, 'U') as fdesc:
data = pickle.loads(fdesc.read())
except (pickle.PickleError, TypeError, UnicodeDecodeError):
# New format (Spyder >=2.2 for Python 2 and Python 3)
with open(pickle_filename, 'rb') as fdesc:
data = pickle.loads(fdesc.read())
saved_arrays = {}
if load_array is not None:
# Loading numpy arrays saved with np.save
try:
saved_arrays = data.pop('__saved_arrays__')
for (name, index), fname in list(saved_arrays.items()):
arr = np.load(osp.join(tmp_folder, fname))
if index is None:
data[name] = arr
elif isinstance(data[name], dict):
data[name][index] = arr
else:
data[name].insert(index, arr)
except KeyError:
pass
except (EOFError, ValueError) as error:
error_message = to_text_string(error)
os.chdir(old_cwd)
try:
shutil.rmtree(tmp_folder)
except OSError as error:
error_message = to_text_string(error)
return data, error_message
def load_dictionary(filename):
"""Load dictionary from .spydata file"""
filename = osp.abspath(filename)
old_cwd = getcwd()
tmp_folder = tempfile.mkdtemp()
os.chdir(tmp_folder)
data = None
error_message = None
try:
with tarfile.open(filename, "r") as tar:
tar.extractall()
pickle_filename = glob.glob('*.pickle')[0]
# 'New' format (Spyder >=2.2 for Python 2 and Python 3)
with open(pickle_filename, 'rb') as fdesc:
data = pickle.loads(fdesc.read())
saved_arrays = {}
if load_array is not None:
# Loading numpy arrays saved with np.save
try:
saved_arrays = data.pop('__saved_arrays__')
for (name, index), fname in list(saved_arrays.items()):
arr = np.load(osp.join(tmp_folder, fname))
if index is None:
data[name] = arr
elif isinstance(data[name], dict):
data[name][index] = arr
else:
data[name].insert(index, arr)
except KeyError:
pass
# Except AttributeError from e.g. trying to load function no longer present
except (AttributeError, EOFError, ValueError) as error:
error_message = to_text_string(error)
# To ensure working dir gets changed back and temp dir wiped no matter what
finally:
os.chdir(old_cwd)
try:
shutil.rmtree(tmp_folder)
except OSError as error:
error_message = to_text_string(error)
return data, error_message
def save_dictionary(data, filename):
"""Save dictionary in a single file .spydata file"""
filename = osp.abspath(filename)
old_cwd = getcwd()
os.chdir(osp.dirname(filename))
error_message = None
skipped_keys = []
data_copy = {}
try:
# Copy dictionary before modifying it to fix #6689
for obj_name, obj_value in data.items():
# Skip modules, since they can't be pickled, users virtually never
# would want them to be and so they don't show up in the skip list.
# Skip callables, since they are only pickled by reference and thus
# must already be present in the user's environment anyway.
if not (callable(obj_value)
or isinstance(obj_value, types.ModuleType)):
# If an object cannot be deepcopied, then it cannot be pickled.
# Ergo, we skip it and list it later.
try:
data_copy[obj_name] = copy.deepcopy(obj_value)
except Exception:
skipped_keys.append(obj_name)
data = data_copy
if not data:
raise RuntimeError('No supported objects to save')
saved_arrays = {}
if load_array is not None:
# Saving numpy arrays with np.save
arr_fname = osp.splitext(filename)[0]
for name in list(data.keys()):
try:
if isinstance(data[name],
np.ndarray) and data[name].size > 0:
# Save arrays at data root
fname = __save_array(data[name], arr_fname,
len(saved_arrays))
saved_arrays[(name, None)] = osp.basename(fname)
data.pop(name)
elif isinstance(data[name], (list, dict)):
# Save arrays nested in lists or dictionaries
if isinstance(data[name], list):
iterator = enumerate(data[name])
else:
iterator = iter(list(data[name].items()))
to_remove = []
for index, value in iterator:
if isinstance(value,
np.ndarray) and value.size > 0:
fname = __save_array(value, arr_fname,
len(saved_arrays))
saved_arrays[(name,
index)] = (osp.basename(fname))
to_remove.append(index)
for index in sorted(to_remove, reverse=True):
data[name].pop(index)
except (RuntimeError, pickle.PicklingError, TypeError,
AttributeError, IndexError):
# If an array can't be saved with numpy for some reason,
# leave the object intact and try to save it normally.
pass
if saved_arrays:
data['__saved_arrays__'] = saved_arrays
pickle_filename = osp.splitext(filename)[0] + '.pickle'
# Attempt to pickle everything.
# If pickling fails, iterate through to eliminate problem objs & retry.
with open(pickle_filename, 'w+b') as fdesc:
try:
pickle.dump(data, fdesc, protocol=2)
except (pickle.PicklingError, AttributeError, TypeError,
ImportError, IndexError, RuntimeError):
data_filtered = {}
for obj_name, obj_value in data.items():
try:
pickle.dumps(obj_value, protocol=2)
except Exception:
skipped_keys.append(obj_name)
else:
data_filtered[obj_name] = obj_value
if not data_filtered:
raise RuntimeError('No supported objects to save')
pickle.dump(data_filtered, fdesc, protocol=2)
# Use PAX (POSIX.1-2001) format instead of default GNU.
# This improves interoperability and UTF-8/long variable name support.
with tarfile.open(filename, "w", format=tarfile.PAX_FORMAT) as tar:
for fname in ([pickle_filename] +
[fn for fn in list(saved_arrays.values())]):
tar.add(osp.basename(fname))
os.remove(fname)
except (RuntimeError, pickle.PicklingError, TypeError) as error:
error_message = to_text_string(error)
else:
if skipped_keys:
skipped_keys.sort()
error_message = ('Some objects could not be saved: ' +
', '.join(skipped_keys))
finally:
os.chdir(old_cwd)
return error_message