Jun 21, 2025 · Jun 21, 2025 · Jun 21, 2025 · Jun 21, 2025 · Jun 21, 2025 · Jun 21, 2025
diff --git a/lib/matplotlib/transforms.py b/lib/matplotlib/transforms.py
 # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
 # done so that `nan`s are propagated, instead of being silently dropped.

 import copy
 import functools
 import itertools
 import textwrap
            for k, v in self._parents.items() if v is not None}

    def __copy__(self):
        other = copy.copy(super())
        cls = type(self)
        other = cls.__new__(cls)
        other.__dict__.update(self.__dict__)
        # If `c = a + b; a1 = copy(a)`, then modifications to `a1` do not
        # propagate back to `c`, i.e. we need to clear the parents of `a1`.
        other._parents = {}
Original file line number	Diff line number	Diff line change
Expand Up		@@ -35,7 +35,6 @@
		# `np.minimum` instead of the builtin `min`, and likewise for `max`. This is
		# done so that `nan`s are propagated, instead of being silently dropped.

		import copy
		import functools
		import itertools
		import textwrap
Expand DownExpand Up		@@ -139,7 +138,9 @@ def __setstate__(self, data_dict):
		for k, v in self._parents.items() if v is not None}

		def __copy__(self):
		other = copy.copy(super())
		cls = type(self)
		other = cls.__new__(cls)
		other.__dict__.update(self.__dict__)
		# If `c = a + b; a1 = copy(a)`, then modifications to `a1` do not
		# propagate back to `c`, i.e. we need to clear the parents of `a1`.
		other._parents = {}
Expand Down