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from typing import Any
from deepdiff.helper import strings, numbers, SetOrdered
DEFAULT_SIGNIFICANT_DIGITS_WHEN_IGNORE_NUMERIC_TYPES = 12
TYPE_STABILIZATION_MSG = 'Unable to stabilize the Numpy array {} due to {}. Please set ignore_order=False.'
class Base:
numbers = numbers
strings = strings
def get_significant_digits(self, significant_digits, ignore_numeric_type_changes):
if significant_digits is not None and significant_digits < 0:
raise ValueError(
"significant_digits must be None or a non-negative integer")
if significant_digits is None:
if ignore_numeric_type_changes:
significant_digits = DEFAULT_SIGNIFICANT_DIGITS_WHEN_IGNORE_NUMERIC_TYPES
return significant_digits
def get_ignore_types_in_groups(self, ignore_type_in_groups,
ignore_string_type_changes,
ignore_numeric_type_changes,
ignore_type_subclasses):
if ignore_type_in_groups:
if isinstance(ignore_type_in_groups[0], type):
ignore_type_in_groups = [ignore_type_in_groups]
else:
ignore_type_in_groups = []
result = []
for item_group in ignore_type_in_groups:
new_item_group = SetOrdered()
for item in item_group:
item = type(item) if item is None or not isinstance(item, type) else item
new_item_group.add(item)
result.append(new_item_group)
ignore_type_in_groups = result
if ignore_string_type_changes and self.strings not in ignore_type_in_groups:
ignore_type_in_groups.append(SetOrdered(self.strings))
if ignore_numeric_type_changes and self.numbers not in ignore_type_in_groups:
ignore_type_in_groups.append(SetOrdered(self.numbers))
if not ignore_type_subclasses:
# is_instance method needs tuples. When we look for subclasses, we need them to be tuples
ignore_type_in_groups = list(map(tuple, ignore_type_in_groups))
return ignore_type_in_groups
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