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"""
@package iscatt.core_c
@brief Wrappers for scatter plot C backend.
(C) 2013 by the GRASS Development Team
This program is free software under the GNU General Public License
(>=v2). Read the file COPYING that comes with GRASS for details.
@author Stepan Turek <stepan.turek seznam.cz> (mentor: Martin Landa)
"""
import sys
import numpy as np
from multiprocessing import Process, Queue
from ctypes import *
try:
from grass.lib.imagery import *
from grass.lib.gis import G_get_window
except ImportError as e:
sys.stderr.write(_("Loading ctypes libs failed"))
from core.gcmd import GException
from grass.script import encode
def Rasterize(polygon, rast, region, value):
rows, cols = rast.shape
# TODO creating of region is on many places
region["rows"] = rows
region["cols"] = cols
region["nsres"] = 1.0
region["ewres"] = 1.0
q = Queue()
p = Process(target=_rasterize, args=(polygon, rast, region, value, q))
p.start()
rast = q.get()
p.join()
return rast
def ApplyColormap(vals, vals_mask, colmap, out_vals):
c_uint8_p = POINTER(c_uint8)
vals_p = vals.ctypes.data_as(c_uint8_p)
if hasattr(vals_mask, "ctypes"):
vals_mask_p = vals_mask.ctypes.data_as(c_uint8_p)
else: # vals mask is empty (all data are selected)
vals_mask_p = None
colmap_p = colmap.ctypes.data_as(c_uint8_p)
out_vals_p = out_vals.ctypes.data_as(c_uint8_p)
vals_size = vals.reshape((-1)).shape[0]
I_apply_colormap(vals_p, vals_mask_p, vals_size, colmap_p, out_vals_p)
def MergeArrays(merged_arr, overlay_arr, alpha):
if merged_arr.shape != overlay_arr.shape:
GException("MergeArrays: merged_arr.shape != overlay_arr.shape")
c_uint8_p = POINTER(c_uint8)
merged_p = merged_arr.ctypes.data_as(c_uint8_p)
overlay_p = overlay_arr.ctypes.data_as(c_uint8_p)
I_merge_arrays(merged_p, overlay_p, merged_arr.shape[0], merged_arr.shape[1], alpha)
def ComputeScatts(
region, scatt_conds, bands, n_bands, scatts, cats_rasts_conds, cats_rasts
):
_memmapToFileNames(scatts)
_memmapToFileNames(scatt_conds)
q = Queue()
p = Process(
target=_computeScattsProcess,
args=(
region,
scatt_conds,
bands,
n_bands,
scatts,
cats_rasts_conds,
cats_rasts,
q,
),
)
p.start()
ret = q.get()
p.join()
return ret[0], ret[1]
# _memmapToFileNames and _fileNamesToMemmap are workaround for older numpy version,
# where memmap objects are not pickable,
# and therefore cannot be passed to process spawned by multiprocessing module
def _memmapToFileNames(data):
for k, v in data.items():
if "np_vals" in v:
data[k]["np_vals"] = v["np_vals"].filename()
def _fileNamesToMemmap(data):
for k, v in data.items():
if "np_vals" in v:
data[k]["np_vals"] = np.memmap(filename=v["np_vals"])
def UpdateCatRast(patch_rast, region, cat_rast):
q = Queue()
p = Process(target=_updateCatRastProcess, args=(patch_rast, region, cat_rast, q))
p.start()
ret = q.get()
p.join()
return ret
def CreateCatRast(region, cat_rast):
cell_head = _regionToCellHead(region)
I_create_cat_rast(pointer(cell_head), cat_rast)
def _computeScattsProcess(
region,
scatt_conds,
bands,
n_bands,
scatts,
cats_rasts_conds,
cats_rasts,
output_queue,
):
_fileNamesToMemmap(scatts)
_fileNamesToMemmap(scatt_conds)
sccats_c, cats_rasts_c, refs = _getComputationStruct(
scatts, cats_rasts, SC_SCATT_DATA, n_bands
)
scatt_conds_c, cats_rasts_conds_c, refs2 = _getComputationStruct(
scatt_conds, cats_rasts_conds, SC_SCATT_CONDITIONS, n_bands
)
char_bands = _stringListToCharArr(bands)
cell_head = _regionToCellHead(region)
ret = I_compute_scatts(
pointer(cell_head),
pointer(scatt_conds_c),
pointer(cats_rasts_conds_c),
pointer(char_bands),
n_bands,
pointer(sccats_c),
pointer(cats_rasts_c),
)
I_sc_free_cats(pointer(sccats_c))
I_sc_free_cats(pointer(scatt_conds_c))
output_queue.put((ret, scatts))
def _getBandcRange(band_info):
band_c_range = struct_Range()
band_c_range.max = band_info["max"]
band_c_range.min = band_info["min"]
return band_c_range
def _regionToCellHead(region):
cell_head = struct_Cell_head()
G_get_window(pointer(cell_head))
convert_dict = {
"n": "north",
"e": "east",
"w": "west",
"s": "south",
"nsres": "ns_res",
"ewres": "ew_res",
}
for k, v in region.items():
if k in ["rows", "cols", "cells", "zone"]: # zone added in r65224
v = int(v)
else:
v = float(v)
if k in convert_dict:
k = convert_dict[k]
setattr(cell_head, k, v)
return cell_head
def _stringListToCharArr(str_list):
arr = c_char_p * len(str_list)
char_arr = arr()
for i, st in enumerate(str_list):
if st:
char_arr[i] = encode(st)
else:
char_arr[i] = None
return char_arr
def _getComputationStruct(cats, cats_rasts, cats_type, n_bands):
sccats = struct_scCats()
I_sc_init_cats(pointer(sccats), c_int(n_bands), c_int(cats_type))
refs = []
cats_rasts_core = []
for cat_id, scatt_ids in cats.items():
cat_c_id = I_sc_add_cat(pointer(sccats))
cats_rasts_core.append(cats_rasts[cat_id])
for scatt_id, dt in scatt_ids.items():
# if key is missing condition is always True (full scatter plor is
# computed)
vals = dt["np_vals"]
scatt_vals = scdScattData()
c_void_p = ctypes.POINTER(ctypes.c_void_p)
if cats_type == SC_SCATT_DATA:
vals[:] = 0
elif cats_type == SC_SCATT_CONDITIONS:
pass
else:
return None
data_p = vals.ctypes.data_as(c_void_p)
I_scd_init_scatt_data(pointer(scatt_vals), cats_type, len(vals), data_p)
refs.append(scatt_vals)
I_sc_insert_scatt_data(
pointer(sccats), pointer(scatt_vals), cat_c_id, scatt_id
)
cats_rasts_c = _stringListToCharArr(cats_rasts_core)
return sccats, cats_rasts_c, refs
def _updateCatRastProcess(patch_rast, region, cat_rast, output_queue):
cell_head = _regionToCellHead(region)
ret = I_insert_patch_to_cat_rast(patch_rast, pointer(cell_head), cat_rast)
output_queue.put(ret)
def _rasterize(polygon, rast, region, value, output_queue):
pol_size = len(polygon) * 2
pol = np.array(polygon, dtype=float)
c_uint8_p = POINTER(c_uint8)
c_double_p = POINTER(c_double)
pol_p = pol.ctypes.data_as(c_double_p)
rast_p = rast.ctypes.data_as(c_uint8_p)
cell_h = _regionToCellHead(region)
I_rasterize(pol_p, len(polygon), value, pointer(cell_h), rast_p)
output_queue.put(rast)
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