Warnings should reference their caller
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@ -229,7 +229,7 @@ class Grid(object):
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self.exyz = [numpy.unique(pixel_edge_coordinates[i]) for i in range(3)]
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self.exyz = [numpy.unique(pixel_edge_coordinates[i]) for i in range(3)]
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for i in range(3):
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for i in range(3):
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if len(self.exyz[i]) != len(pixel_edge_coordinates[i]):
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if len(self.exyz[i]) != len(pixel_edge_coordinates[i]):
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warnings.warn('Dimension {} had duplicate edge coordinates'.format(i))
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warnings.warn('Dimension {} had duplicate edge coordinates'.format(i), stacklevel=2)
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if is_scalar(periodic):
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if is_scalar(periodic):
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periodic = [periodic] * 3
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periodic = [periodic] * 3
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@ -248,7 +248,7 @@ class Grid(object):
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if (self.shifts < 0).any():
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if (self.shifts < 0).any():
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# TODO: Test negative shifts
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# TODO: Test negative shifts
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warnings.warn('Negative shifts are still experimental and mostly untested, be careful!')
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warnings.warn('Negative shifts are still experimental and mostly untested, be careful!', stacklevel=2)
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num_shifts = self.shifts.shape[0]
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num_shifts = self.shifts.shape[0]
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if num_grids is None:
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if num_grids is None:
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@ -259,7 +259,7 @@ class Grid(object):
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grids_shape = hstack((num_grids, self.shape))
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grids_shape = hstack((num_grids, self.shape))
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if is_scalar(initial):
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if is_scalar(initial):
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if isinstance(initial, int):
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if isinstance(initial, int):
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warnings.warn('Initial value is an int, grids will be integer-typed!')
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warnings.warn('Initial value is an int, grids will be integer-typed!', stacklevel=2)
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self.grids = numpy.full(grids_shape, initial)
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self.grids = numpy.full(grids_shape, initial)
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else:
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else:
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if len(initial) < num_grids:
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if len(initial) < num_grids:
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@ -270,7 +270,7 @@ class Grid(object):
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if is_scalar(initial[i]):
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if is_scalar(initial[i]):
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if initial[i] is not None:
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if initial[i] is not None:
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if isinstance(initial[i], int):
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if isinstance(initial[i], int):
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warnings.warn('Initial value is an int, grid {} will be integer-typed!'.format(i))
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warnings.warn('Initial value is an int, grid {} will be integer-typed!'.format(i), stacklevel=2)
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self.grids[i] = numpy.full(self.shape, initial[i])
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self.grids[i] = numpy.full(self.shape, initial[i])
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else:
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else:
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if not numpy.array_equal(initial[i].shape, self.shape):
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if not numpy.array_equal(initial[i].shape, self.shape):
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