Clean up documentation and default values
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@ -171,9 +171,9 @@ class Grid(object):
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def ind2pos(self,
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ind: numpy.ndarray or List,
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which_shifts: int or None=None,
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round_ind: bool=True,
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check_bounds: bool=True
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which_shifts: int = None,
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round_ind: bool = True,
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check_bounds: bool = True
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) -> numpy.ndarray:
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"""
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Returns the natural position corresponding to the specified indices.
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@ -263,10 +263,10 @@ class Grid(object):
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def __init__(self,
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pixel_edge_coordinates: List[List or numpy.ndarray],
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shifts: numpy.ndarray or List=Yee_Shifts_E,
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initial: float or numpy.ndarray or List[float] or List[numpy.ndarray]=(1.0,)*3,
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num_grids: int=None,
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periodic: bool or List[bool]=False):
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shifts: numpy.ndarray or List = Yee_Shifts_E,
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initial: float or numpy.ndarray or List[float] or List[numpy.ndarray] = (1.0,)*3,
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num_grids: int = None,
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periodic: bool or List[bool] = False):
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"""
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Initialize a new Grid
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@ -753,7 +753,7 @@ class Grid(object):
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:param center: Scalar specifying position along surface_normal axis.
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:param which_shifts: Which grid to display. Default is the first grid (0).
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:param sample_period: Period for down-sampling the image. Default 1 (disabled)
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:param finalize: Whether to call pyplot.show() after constructing the plot.
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:param finalize: Whether to call pyplot.show() after constructing the plot. Default True
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"""
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from matplotlib import pyplot
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@ -778,11 +778,11 @@ class Grid(object):
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pyplot.show()
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def visualize_isosurface(self,
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level: float=None,
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which_shifts: int=0,
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sample_period: int=1,
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show_edges: bool=True,
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finalize: bool=True):
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level: float = None,
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which_shifts: int = 0,
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sample_period: int = 1,
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show_edges: bool = True,
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finalize: bool = True):
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"""
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Draw an isosurface plot of the device.
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@ -790,6 +790,7 @@ class Grid(object):
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:param which_shifts: Which grid to display. Default is the first grid (0).
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:param sample_period: Period for down-sampling the image. Default 1 (disabled)
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:param show_edges: Whether to draw triangle edges. Default True
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:param finalize: Whether to call pyplot.show() after constructing the plot. Default True
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"""
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from matplotlib import pyplot
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import skimage.measure
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