fixup indexing
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7336545f07
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@ -206,7 +206,11 @@ def read_arrow(
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mlib = Library()
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for cc, cell in enumerate(libarr['cells']):
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name = cell_names[cell_ids[cc]]
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pat = read_cell(cc, cell, libarr['cell_names'], global_args=global_args, elements=elements)
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pat = Pattern()
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_boundaries_to_polygons(pat, global_args, elements['boundaries'], cc)
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_gpaths_to_mpaths(pat, global_args, elements['paths'], cc)
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_grefs_to_mrefs(pat, global_args, elements['refs'], cc)
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_texts_to_labels(pat, global_args, elements['texts'], cc)
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mlib[name] = pat
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return mlib, library_info
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@ -224,36 +228,6 @@ def _read_header(libarr: pyarrow.Array) -> dict[str, Any]:
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return library_info
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def read_cell(
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cc: int,
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cellarr: pyarrow.Array,
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cell_names: pyarrow.Array,
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elements: dict[str, Any],
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global_args: dict[str, Any],
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) -> Pattern:
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"""
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TODO
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Read elements from a GDS structure and build a Pattern from them.
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Args:
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stream: Seekable stream, positioned at a record boundary.
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Will be read until an ENDSTR record is consumed.
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name: Name of the resulting Pattern
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raw_mode: If True, bypass per-shape data validation. Default True.
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Returns:
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A pattern containing the elements that were read.
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"""
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pat = Pattern()
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_boundaries_to_polygons(pat, global_args, elements['boundaries'], cc)
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_gpaths_to_mpaths(pat, global_args, elements['paths'], cc)
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_grefs_to_mrefs(pat, global_args, elements['refs'], cc)
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_texts_to_labels(pat, global_args, elements['texts'], cc)
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return pat
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def _grefs_to_mrefs(
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pat: Pattern,
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global_args: dict[str, Any],
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@ -272,19 +246,25 @@ def _grefs_to_mrefs(
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elem_count = elem_off[cc + 1] - elem_off[cc]
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elem_slc = slice(elem_off[cc], elem_off[cc] + elem_count + 1) # +1 to capture ending location for last elem
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prop_offs = elem['prop_off'][elem_slc] # which props belong to each element
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elem_invert_y = elem['invert_y'][elem_slc]
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elem_angle_rad = elem['angle_rad'][elem_slc]
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elem_scale = elem['scale'][elem_slc]
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elem_rep_xy0 = elem['rep_xy0'][elem_slc]
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elem_rep_xy1 = elem['rep_xy1'][elem_slc]
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elem_rep_counts = elem['rep_counts'][elem_slc]
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for ee in range(elem_count):
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target = cell_names[targets[ee]]
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offset = xy[ee]
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mirr = elem['invert_y'][ee]
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rot = elem['angle_rad'][ee]
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mag = elem['scale'][ee]
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mirr = elem_invert_y[ee]
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rot = elem_angle_rad[ee]
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mag = elem_scale[ee]
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rep: None | Grid = None
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if rep_valid[ee]:
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a_vector = elem['rep_xy0'][ee]
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b_vector = elem['rep_xy1'][ee]
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a_count, b_count = elem['rep_counts'][ee]
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a_vector = elem_rep_xy0[ee]
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b_vector = elem_rep_xy1[ee]
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a_count, b_count = elem_rep_counts[ee]
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rep = Grid(a_vector=a_vector, b_vector=b_vector, a_count=a_count, b_count=b_count)
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annotations: None | dict[int, str] = None
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@ -312,11 +292,13 @@ def _texts_to_labels(
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elem_count = elem_off[cc + 1] - elem_off[cc]
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elem_slc = slice(elem_off[cc], elem_off[cc] + elem_count + 1) # +1 to capture ending location for last elem
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prop_offs = elem['prop_off'][elem_slc] # which props belong to each element
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elem_layer_inds = layer_inds[elem_slc]
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elem_strings = elem['string'][elem_slc]
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for ee in range(elem_count):
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layer = layer_tups[layer_inds[ee]]
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layer = layer_tups[elem_layer_inds[ee]]
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offset = xy[ee]
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string = elem['string'][ee]
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string = elem_string[ee]
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annotations: None | dict[int, str] = None
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prop_ii, prop_ff = prop_offs[ee], prop_offs[ee + 1]
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@ -344,18 +326,21 @@ def _gpaths_to_mpaths(
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elem_slc = slice(elem_off[cc], elem_off[cc] + elem_count + 1) # +1 to capture ending location for last elem
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xy_offs = elem['xy_off'][elem_slc] # which xy coords belong to each element
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prop_offs = elem['prop_off'][elem_slc] # which props belong to each element
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elem_layer_inds = layer_inds[elem_slc]
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elem_widths = elem['width'][elem_slc]
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elem_path_types = elem['path_type'][elem_slc]
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elem_extensions = elem['extensions'][elem_slc]
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zeros = numpy.zeros((elem_count, 2))
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raw_mode = global_args['raw_mode']
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for ee in range(elem_count):
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elem_ind = elem_off[cc] + ee
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layer = layer_tups[layer_inds[ee]]
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layer = layer_tups[elem_layer_inds[ee]]
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vertices = xy_val[xy_offs[ee]:xy_offs[ee + 1]]
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width = elem['width'][elem_ind]
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cap_int = elem['path_type'][elem_ind]
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width = elem_widths[ee]
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cap_int = elem_path_types[ee]
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cap = path_cap_map[cap_int]
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if cap_int == 4:
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cap_extensions = elem['extensions'][elem_ind]
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cap_extensions = elem_extensions[ee]
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else:
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cap_extensions = None
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@ -377,8 +362,8 @@ def _boundaries_to_polygons(
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) -> None:
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elem_off = elem['offsets'] # which elements belong to each cell
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xy_val = elem['xy_arr']
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layer_tups = global_args['layer_tups']
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layer_inds = elem['layer_inds']
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layer_tups = global_args['layer_tups']
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prop_key = elem['prop_key']
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prop_val = elem['prop_val']
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@ -386,11 +371,12 @@ def _boundaries_to_polygons(
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elem_slc = slice(elem_off[cc], elem_off[cc] + elem_count + 1) # +1 to capture ending location for last elem
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xy_offs = elem['xy_off'][elem_slc] # which xy coords belong to each element
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prop_offs = elem['prop_off'][elem_slc] # which props belong to each element
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elem_layer_inds = layer_inds[elem_slc]
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zeros = numpy.zeros((elem_count, 2))
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raw_mode = global_args['raw_mode']
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for ee in range(elem_count):
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layer = layer_tups[layer_inds[ee]]
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layer = layer_tups[elem_layer_inds[ee]]
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vertices = xy_val[xy_offs[ee]:xy_offs[ee + 1] - 1] # -1 to drop closing point
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annotations: None | dict[int, str] = None
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@ -402,8 +388,8 @@ def _boundaries_to_polygons(
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pat.shapes[layer].append(poly)
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def _properties_to_annotations(properties: pyarrow.Array) -> annotations_t:
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return {prop['key'].as_py(): prop['value'].as_py() for prop in properties}
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#def _properties_to_annotations(properties: pyarrow.Array) -> annotations_t:
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# return {prop['key'].as_py(): prop['value'].as_py() for prop in properties}
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def check_valid_names(
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