def _from_tree_type_changes(self, tree):
if 'type_changes' in tree:
for change in tree['type_changes']:
include_values = None
if type(change.t1) is type:
include_values = False
old_type = change.t1
new_type = change.t2
else:
old_type = get_type(change.t1)
new_type = get_type(change.t2)
include_values = True
try:
if new_type in numpy_numbers:
new_t1 = change.t1.astype(new_type)
include_values = not np.array_equal(
new_t1, change.t2)
else:
new_t1 = new_type(change.t1)
# If simply applying the type from one value converts it to the other value,
# there is no need to include the actual values in the delta.
include_values = new_t1 != change.t2
except Exception:
pass
remap_dict = RemapDict({
'old_type': old_type,
'new_type': new_type
})
self['type_changes'][change.path(
force=FORCE_DEFAULT)] = remap_dict
if include_values:
remap_dict.update(old_value=change.t1, new_value=change.t2)
def _from_tree_type_changes(self, tree):
if 'type_changes' in tree:
for change in tree['type_changes']:
remap_dict = RemapDict({
'old_type': type(change.t1),
'new_type': type(change.t2)
})
self['type_changes'][change.path(
force=FORCE_DEFAULT)] = remap_dict
if Verbose.level:
remap_dict.update(old_value=change.t1, new_value=change.t2)
def _from_tree_type_changes(self, tree):
if 'type_changes' in tree:
for change in tree['type_changes']:
remap_dict = RemapDict({
'old_type': type(change.t1),
'new_type': type(change.t2)
})
self['type_changes'][change.path(
force=FORCE_DEFAULT)] = remap_dict
if Verbose.level:
remap_dict.update(old_value=change.t1, new_value=change.t2)
def _from_tree_repetition_change(self, tree):
if 'repetition_change' in tree:
for change in tree['repetition_change']:
path = change.path(force=FORCE_DEFAULT)
self['repetition_change'][path] = RemapDict(
change.additional['repetition'])
self['repetition_change'][path]['value'] = change.t1
def _from_tree_type_changes(self, tree):
if 'type_changes' in tree:
for change in tree['type_changes']:
if type(change.t1) is type:
include_values = False
old_type = change.t1
new_type = change.t2
else:
include_values = True
old_type = type(change.t1)
new_type = type(change.t2)
remap_dict = RemapDict({
'old_type': old_type,
'new_type': new_type
})
self['type_changes'][change.path(
force=FORCE_DEFAULT)] = remap_dict
if Verbose.level and include_values:
remap_dict.update(old_value=change.t1, new_value=change.t2)
def _from_tree_type_changes(self, tree):
if 'type_changes' in tree:
for change in tree['type_changes']:
if type(change.t1) is type:
include_values = False
old_type = change.t1
new_type = change.t2
else:
include_values = True
old_type = type(change.t1)
new_type = type(change.t2)
remap_dict = RemapDict({
'old_type': old_type,
'new_type': new_type
})
self['type_changes'][change.path(
force=FORCE_DEFAULT)] = remap_dict
if Verbose.level and include_values:
remap_dict.update(old_value=change.t1, new_value=change.t2)
def _from_tree_repetition_change(self, tree):
if 'repetition_change' in tree:
for change in tree['repetition_change']:
path, _, _ = change.path(get_parent_too=True)
repetition = RemapDict(change.additional['repetition'])
value = change.t1
try:
iterable_items_added_at_indexes = self['iterable_items_added_at_indexes'][path]
except KeyError:
iterable_items_added_at_indexes = self['iterable_items_added_at_indexes'][path] = dict_()
for index in repetition['new_indexes']:
iterable_items_added_at_indexes[index] = value