Remove is_scalar() in favor of numpy.size(...)==1
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@ -1,8 +0,0 @@
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from typing import Any
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def is_scalar(var: Any) -> bool:
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"""
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Alias for `not hasattr(var, "__len__")`
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"""
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return not hasattr(var, "__len__")
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@ -6,7 +6,6 @@ from typing import List, Optional, Union, Sequence, Callable
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import numpy # type: ignore
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from float_raster import raster
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from ._helpers import is_scalar
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from . import GridError
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@ -58,8 +57,8 @@ def draw_polygons(self,
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if not polygon.shape[0] > 2:
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raise GridError(malformed + 'must consist of more than 2 points')
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if polygon.ndim > 2 and not numpy.unique(polygon[:, surface_normal]).size == 1:
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raise GridError(malformed + 'must be in plane with surface normal %s'
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% 'xyz'[surface_normal])
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raise GridError(malformed + 'must be in plane with surface normal '
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+ 'xyz'[surface_normal])
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# Broadcast eps where necessary
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if numpy.size(eps) == 1:
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@ -108,8 +107,8 @@ def draw_polygons(self,
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eps_i = eps[i](x0, y0, z0)
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if not numpy.isfinite(eps_i).all():
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raise GridError('Non-finite values in eps[%u]' % i)
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elif not is_scalar(eps[i]):
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raise GridError('Unsupported eps[{}]: {}'.format(i, type(eps[i])))
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elif numpy.size(eps[i]) != 1:
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else:
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# eps[i] is scalar non-callable
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eps_i = eps[i]
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@ -228,7 +227,7 @@ def draw_slab(self,
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if surface_normal not in range(3):
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raise GridError('Invalid surface_normal direction')
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if not is_scalar(center):
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if numpy.size(center) != 1:
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center = numpy.squeeze(center)
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if len(center) == 3:
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center = center[surface_normal]
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@ -7,7 +7,6 @@ import pickle
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import warnings
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import copy
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from ._helpers import is_scalar
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from . import GridError
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@ -5,7 +5,6 @@ from typing import Dict, Optional, Union, Any
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import numpy # type: ignore
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from ._helpers import is_scalar
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from . import GridError
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# .visualize_* uses matplotlib
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@ -34,14 +33,14 @@ def get_slice(self,
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Returns:
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Array containing the portion of the grid.
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"""
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if not is_scalar(center) and numpy.isreal(center):
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if numpy.size(center) != 1 or not numpy.isreal(center):
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raise GridError('center must be a real scalar')
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sp = round(sample_period)
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if sp <= 0:
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raise GridError('sample_period must be positive')
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if not is_scalar(which_shifts) or which_shifts < 0:
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if numpy.size(which_shifts) != 1 or which_shifts < 0:
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raise GridError('Invalid which_shifts')
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if surface_normal not in range(3):
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