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index = rtree.index.Index()
for i in tqdm(range(len(bounds_shapes))):
(feature, shape) = bounds_shapes[i]
index.insert(i, shape.bounds)
features_keep = []
for feature in tqdm(obj['features']):
if 'geometry' in feature and 'coordinates' in feature['geometry']:
coordinates = feature['geometry']['coordinates']
if any([
shape.contains(shapely.geometry.Point(lon, lat))
for (lon, lat) in coordinates
for (feature, shape) in [bounds_shapes[i]
for i in index.nearest((lon,lat,lon,lat), 1)]
]):
features_keep.append(feature)
continue
obj['features'] = features_keep
return obj"
4360,"def features_node_edge_graph(obj):
""""""
Transform the features into a more graph-like structure by
appropriately splitting LineString features into two-point
""edges"" that connect Point ""nodes"".
""""""
points = {}
features = obj['features']
for feature in tqdm(obj['features']):
for (lon, lat) in geojson.utils.coords(feature):
points.setdefault((lon, lat), 0)
points[(lon, lat)] += 1
points = [p for (p, c) in points.items() if c > 1]
features = [geojson.Point(p) for p in points]
# For each feature, split it into ""edge"" features
# that occur between every point.
for f in tqdm(obj['features']):
seqs = []
seq = []
for point in geojson.utils.coords(f):
if len(seq) > 0:
seq.append(point)
if point in points:
seq.append(point)
if len(seq) > 1 and seq[0] in points:
seqs.append(seq)
seq = [point]
for seq in seqs:
features.append(geojson.Feature(geometry={""coordinates"":seq, ""type"":f['geometry']['type']}, properties=f['properties'], type=f['type']))
obj['features'] = features
return obj"
4361,"def get_conn(filename):
""""""Returns new sqlite3.Connection object with _dict_factory() as row factory""""""
conn = sqlite3.connect(filename)
conn.row_factory = _dict_factory
return conn"
4362,"def conn_is_open(conn):
""""""Tests sqlite3 connection, returns T/F""""""
if conn is None:
return False
try:
get_table_names(conn)
return True
# # Idea taken from
# # http: // stackoverflow.com / questions / 1981392 / how - to - tell - if -python - sqlite - database - connection - or -cursor - is -closed
# conn.execute(""select id from molecule limit 1"")
# return True
except sqlite3.ProgrammingError as e:
# print(e)
return False"
4363,"def cursor_to_data_header(cursor):
""""""Fetches all rows from query (""cursor"") and returns a pair (data, header)
Returns: (data, header), where
- data is a [num_rows]x[num_cols] sequence of sequences;
- header is a [num_cols] list containing the field names
""""""
n = 0
data, header = [], {}
for row in cursor:
if n == 0:
header = row.keys()
data.append(row.values())
return data, list(header)"
4364,"def get_table_info(conn, tablename):
""""""Returns TableInfo object""""""
r = conn.execute(""pragma table_info('{}')"".format(tablename))
ret = TableInfo(((row[""name""], row) for row in r))
return ret"
4365,"def find(self, **kwargs):
""""""
Finds row matching specific field value
Args:
**kwargs: (**only one argument accepted**) fielname=value, e.g., formula=""OH""
Returns: list element or None