code stringlengths 3 6.57k |
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cpd_dict.pop(chemical_name) |
self.random_draw_passes() |
self.draw_value() |
replace_in_text(self, text: str, compound: str, new_name: str) |
re.compile(rf'\b{re.escape(compound) |
pattern.sub(new_name, text) |
Migration(migrations.Migration) |
models.CharField(max_length=2) |
format (.asc) |
XYZ (.xyz) |
e00 (application/x.e00+zip) |
GeoTIFF (image/tiff; application=geotiff) |
GeoTIFF (application/x.geotiff+zip) |
TIFF (application/x.tiff+zip) |
PNG (application/x.png+zip) |
JPEG (application/x.jpeg+zip) |
KML (application/vnd.google-earth.kml+xml) |
KML (application/vnd.google-earth.kmz) |
DXF (application/x.dxf+zip) |
GML (application/gml+xml) |
GML (application/x.gml+zip) |
LIDAR (application/vnd.las) |
LIDAR (application/vnd.laszip) |
Shapefile (application/x.shapefile+zip) |
Geodatabase (application/x.filegdb+zip) |
Geodatabase (application/x.ms-access+zip) |
Excel (application/x.ms-excel+zip) |
TAB (application/x.tab+zip) |
TAB (application/x.tab-raster+zip) |
CSV (application/x.csv+zip) |
CSV (text/csv) |
Geopackage (application/geopackage+sqlite3) |
Geopackage (application/x.geopackage+zip) |
GeoJSON (application/geo+json) |
GeoJSON (application/x.geojson+zip) |
XTF (2.3) |
ITF (application/x.interlis+zip; version=1) |
GeoTIFF (COG) |
PDF (application/pdf) |
PDF (application/x.pdf+zip) |
JSON (application/json) |
JSON (application/x.json+zip) |
NetCDF (application/x-netcdf) |
NetCDF (application/x.netcdf+zip) |
XML (application/xml) |
XML (application/x.xml+zip) |
mbtiles (application/vnd.mapbox-vector-tile) |
Text (text/plain) |
text (text/x.plain+zip) |
DWG (application/x.dwg+zip) |
rename(case_path) |
utils.load_filenames(case_path + "/", extensions=None) |
os.path.basename(filename) |
os.rename(filename, case_path + "/mask.nii.gz") |
os.rename(filename, case_path + "/label_table.txt") |
os.rename(filename, case_path + "/image.nii.gz") |
get_labels(load_label_table) |
open(load_label_table) |
f.readlines() |
np.asarray(label_table) |
line.split() |
label.isnumeric() |
line.split("_") |
any(x in infection.lower() |
ggo.append(int(label) |
any(x in infection.lower() |
cons.append(int(label) |
any(x in infection.lower() |
pe.append(int(label) |
merge_labels(load_mask, save_mask, load_label_table) |
utils.load_nifty(load_mask) |
mask.astype(int) |
get_labels(load_label_table) |
tqdm(np.concatenate((ggo, cons, pe) |
tqdm(ggo, disable=True) |
tqdm(cons, disable=True) |
tqdm(pe, disable=True) |
np.rint(mask) |
mask.astype(int) |
utils.save_nifty(save_mask, mask, affine, spacing, header) |
round_mask(filename) |
utils.load_nifty(filename) |
np.rint(mask) |
mask.astype(int) |
utils.save_nifty(filename, mask, affine, spacing, header) |
tmp2(filename) |
utils.load_nifty(filename) |
print(mask[46-1][155-1][116-1]) |
utils.load_filenames(load_path, extensions=None) |
tqdm(filenames) |
os.path.isfile(filename + "/mask2.nii.gz") |
rename(filename) |
merge_labels(load_mask, save_mask, load_label_table) |
tqdm(filenames) |
os.path.exists(new_mask) |
os.remove(old_mask) |
os.rename(new_mask, old_mask) |
os.remove(label_table) |
utils.load_filenames("/gris/gris-f/homelv/kgotkows/datasets/nnUnet_datasets/nnUNet_raw_data/Task79_frankfurt3/labelsTr/", extensions=None) |
tqdm(filenames) |
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