def test_bunch():
b = Bunch(x=5, y=10)
assert 'y' in b
assert 'x' in b
assert b.x == 5
b['a'] = 'hi'
assert b.a == 'hi'
def _trigger_df_change_event(self):
self.notify_change(
Bunch(
name='_df',
old=None,
new=self._df,
owner=self,
type='change',
))
def on_state_change(self, *args, obj=None, **kwargs):
if self._block_on_state_change:
return
obj.notify_change(
Bunch({
'name': self.name,
'type': 'change',
'value': self.get(obj),
'new': self.get(obj)
}))
def test_bunch_dir():
b = Bunch(x=5, y=10)
assert 'x' in dir(b)
assert 'keys' in dir(b)
'attribution': '© <a href="https://here.com">HERE.com</a>',
'name': 'HERE'}
"""
return TileLayer(
url=build_tiles_url(**basemap, **kwargs),
min_zoom=kwargs.get("min_zoom", 1),
max_zoom=kwargs.get("max_zoom", 18),
attribution='© <a href="https://here.com">HERE.com</a>',
name="HERE." + kwargs.get("scheme", "normal.day"),
**kwargs)
basemaps = Bunch(Default=dict(maptype="base",
tiletype="maptile",
scheme="normal.day"),
Satellite=dict(maptype="aerial",
tiletype="maptile",
scheme="satellite.day"),
TrafficDay=dict(maptype='traffic',
tiletype='traffictile',
scheme="normal.day"),
TrafficNight=dict(maptype='traffic',
tiletype='traffictile',
scheme="normal.night"),
TransitDay=dict(maptype='base',
tiletype='maptile',
scheme="normal.day.transit"),
TransitNight=dict(maptype='base',
tiletype='maptile',
scheme="normal.night.transit"))
projections = Bunch(
# Alaska Polar Stereographic (WGS84)
EPSG5936=Bunch(Basemap=dict(
name='EPSG:5936',
custom=True,
proj4def="""+proj=stere +lat_0=90 +lat_ts=90 +lon_0=-150 +k=0.994
+x_0=2000000 +y_0=2000000 +datum=WGS84 +units=m +no_defs""",
origin=[-2.8567784109255e+07, 3.2567784109255e+07],
resolutions=[
238810.813354, 119405.406677, 59702.7033384999, 29851.3516692501,
14925.675834625, 7462.83791731252, 3731.41895865639,
1865.70947932806, 932.854739664032, 466.427369832148,
233.213684916074, 116.60684245803701, 58.30342122888621,
29.151710614575396, 14.5758553072877, 7.28792765351156,
3.64396382688807, 1.82198191331174, 0.910990956788164,
0.45549547826179, 0.227747739130895, 0.113873869697739,
0.05693693484887, 0.028468467424435
],
bounds=[[-2623285.8808999992907047, -2623285.8808999992907047],
[6623285.8803000003099442, 6623285.8803000003099442]])),
# Polar Stereographic South (WGS84)
EPSG3031=Bunch(Basemap=dict(
name='EPSG:3031',
custom=True,
proj4def="""+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +k=1
+x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs""",
origin=[-3.06361E7, 3.0636099999999993E7],
resolutions=[
67733.46880027094,
33866.73440013547,
16933.367200067736,
8466.683600033868,
4233.341800016934,
2116.670900008467,
1058.3354500042335,
529.1677250021168,
264.5838625010584,
],
bounds=[[-4524583.19363305, -4524449.487765655],
[4524449.4877656475, 4524583.193633042]])))
from traitlets import (Float, Unicode, Int, Tuple, List, Instance, Bool, Dict,
Enum, link, observe, default, validate, TraitError,
Union, HasTraits)
from traitlets.utils.bunch import Bunch
from .options import *
from .utils import widget_serialization_no_none
from ._version import EXTENSION_VERSION
PUBLIC_GENOMES_FILE = os.path.join(os.path.dirname(__file__),
'public_genomes.json')
PUBLIC_GENOMES = Bunch(
{v['id']: v
for v in json.load(open(PUBLIC_GENOMES_FILE, 'r'))})
@widgets.register
class IgvBrowser(widgets.DOMWidget):
"""An IGV browser widget."""
def __init__(self, **kwargs):
super().__init__(**kwargs)
self.on_msg(self._custom_message_handler)
out = widgets.Output()
# Name of the widget view class in front-end
_view_name = Unicode('IgvBrowser').tag(sync=True)
# Name of the widget model class in front-end
basemaps = Bunch(
OpenStreetMap=
Bunch(Mapnik=dict(
url='https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png',
max_zoom=19,
attribution=
'Map data (c) <a href="https://openstreetmap.org">OpenStreetMap</a> contributors',
name='OpenStreetMap.Mapnik'),
BlackAndWhite=dict(
url='http://{s}.tiles.wmflabs.org/bw-mapnik/{z}/{x}/{y}.png',
max_zoom=18,
attribution=
'© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>',
name='OpenStreetMap.BlackAndWhite',
),
DE=dict(
url=
'http://{s}.tile.openstreetmap.de/tiles/osmde/{z}/{x}/{y}.png',
max_zoom=18,
attribution=
'© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>',
name='OpenStreetMap.DE'),
France=dict(
url='http://{s}.tile.openstreetmap.fr/osmfr/{z}/{x}/{y}.png',
max_zoom=20,
attribution=
'© Openstreetmap France | © <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>',
name='OpenStreetMap.France'),
HOT=dict(
url='http://{s}.tile.openstreetmap.fr/hot/{z}/{x}/{y}.png',
max_zoom=19,
attribution
='© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>, Tiles courtesy of <a href="http://hot.openstreetmap.org/" target="_blank">Humanitarian OpenStreetMap Team</a>',
name='OpenStreetMap.HOT')),
OpenTopoMap=dict(
url='https://{s}.tile.opentopomap.org/{z}/{x}/{y}.png',
max_zoom=17,
attribution=
'Map data: © <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>, <a href="http://viewfinderpanoramas.org">SRTM</a> | Map style: © <a href="https://opentopomap.org">OpenTopoMap</a> (<a href="https://creativecommons.org/licenses/by-sa/3.0/">CC-BY-SA</a>)',
name='OpenTopoMap'),
Hydda=Bunch(
Full=dict(
url='http://{s}.tile.openstreetmap.se/hydda/full/{z}/{x}/{y}.png',
max_zoom=18,
attribution=
'Tiles courtesy of <a href="http://openstreetmap.se/" target="_blank">OpenStreetMap Sweden</a> — Map data © <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>',
name='Hydda.Full'),
Base=dict(
url='http://{s}.tile.openstreetmap.se/hydda/base/{z}/{x}/{y}.png',
max_zoom=18,
attribution=
'Tiles courtesy of <a href="http://openstreetmap.se/" target="_blank">OpenStreetMap Sweden</a> — Map data © <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>',
name='Hydda.Base'),
),
Esri=Bunch(
WorldStreetMap=dict(
url=
'http://server.arcgisonline.com/ArcGIS/rest/services/World_Street_Map/MapServer/tile/{z}/{y}/{x}',
max_zoom=20,
attribution=
'Tiles © Esri — Source: Esri, DeLorme, NAVTEQ, USGS, Intermap, iPC, NRCAN, Esri Japan, METI, Esri China (Hong Kong), Esri (Thailand), TomTom, 2012',
name='Esri.WorldStreetMap'),
DeLorme=dict(
url=
'http://server.arcgisonline.com/ArcGIS/rest/services/Specialty/DeLorme_World_Base_Map/MapServer/tile/{z}/{y}/{x}',
min_zoom=1,
max_zoom=11,
attribution=
'Tiles © Esri — Copyright: ©2012 DeLorme',
name='Esri.DeLorme'),
WorldTopoMap=dict(
url=
'http://server.arcgisonline.com/ArcGIS/rest/services/World_Topo_Map/MapServer/tile/{z}/{y}/{x}',
max_zoom=20,
attribution=
'Tiles © Esri — Esri, DeLorme, NAVTEQ, TomTom, Intermap, iPC, USGS, FAO, NPS, NRCAN, GeoBase, Kadaster NL, Ordnance Survey, Esri Japan, METI, Esri China (Hong Kong), and the GIS User Community',
name='Esri.WorldTopoMap'),
WorldImagery=dict(
url=
'http://server.arcgisonline.com/ArcGIS/rest/services/World_Imagery/MapServer/tile/{z}/{y}/{x}',
max_zoom=20,
attribution=
'Tiles © Esri — Source: Esri, i-cubed, USDA, USGS, AEX, GeoEye, Getmapping, Aerogrid, IGN, IGP, UPR-EGP, and the GIS User Community',
name='Esri.WorldImagery'),
NatGeoWorldMap=dict(
url=
'http://server.arcgisonline.com/ArcGIS/rest/services/NatGeo_World_Map/MapServer/tile/{z}/{y}/{x}',
max_zoom=16,
attribution=
'Tiles © Esri — National Geographic, Esri, DeLorme, NAVTEQ, UNEP-WCMC, USGS, NASA, ESA, METI, NRCAN, GEBCO, NOAA, iPC',
name='Esri.NatGeoWorldMap'),
),
HikeBike=Bunch(HikeBike=dict(
url='http://{s}.tiles.wmflabs.org/hikebike/{z}/{x}/{y}.png',
max_zoom=19,
attribution=
'© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a>',
name='HikeBike.HikeBike'), ),
MtbMap=dict(
url='http://tile.mtbmap.cz/mtbmap_tiles/{z}/{x}/{y}.png',
max_zoom=20,
attribution=
'© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a> & USGS',
name='MtbMap'),
CartoDB=Bunch(
Positron=dict(
url='http://c.basemaps.cartocdn.com/light_all/{z}/{x}/{y}.png',
max_zoom=20,
attribution=
'© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a> © <a href="http://cartodb.com/attributions">CartoDB</a>',
name='CartoDB.Positron'),
DarkMatter
=dict(
url='http://c.basemaps.cartocdn.com/dark_all/{z}/{x}/{y}.png',
max_zoom=20,
attribution=
'© <a href="http://www.openstreetmap.org/copyright">OpenStreetMap</a> © <a href="http://cartodb.com/attributions">CartoDB</a>',
name='CartoDB.DarkMatter')),
NASAGIBS=Bunch(
ModisTerraTrueColorCR=dict(
url
='https://gibs.earthdata.nasa.gov/wmts/epsg3857/best/MODIS_Terra_CorrectedReflectance_TrueColor/default/%s/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg',
max_zoom=9,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.ModisTerraTrueColorCR'),
ModisTerraBands367CR=dict(
url=
'https://gibs.earthdata.nasa.gov/wmts/epsg3857/best/MODIS_Terra_CorrectedReflectance_Bands367/default/%s/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg',
max_zoom=9,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.ModisTerraBands367CR'),
ModisTerraBands721CR=dict(
url=
'https://gibs.earthdata.nasa.gov/wmts/epsg3857/best/MODIS_Terra_CorrectedReflectance_Bands721/default/%s/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg',
max_zoom=9,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.MidsTerraBands721CR'),
ModisAquaTrueColorCR=dict(
url=
'https://gibs.earthdata.nasa.gov/wmts/epsg3857/best/MODIS_Aqua_CorrectedReflectance_TrueColor/default/%s/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg',
max_zoom=9,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.ModisAquaTrueColorCR'),
ModisAquaBands721CR=dict(
url=
'https://gibs.earthdata.nasa.gov/wmts/epsg3857/best/MODIS_Aqua_CorrectedReflectance_Bands721/default/%s/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg',
max_zoom=9,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.ModisAquaBands721CR'),
ViirsTrueColorCR=dict(
url=
'https://gibs.earthdata.nasa.gov/wmts/epsg3857/best/VIIRS_SNPP_CorrectedReflectance_TrueColor/default/%s/GoogleMapsCompatible_Level9/{z}/{y}/{x}.jpg',
max_zoom=9,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.ViirsTrueColorCR'),
ViirsEarthAtNight2012=dict(
url=
'http://gibs.earthdata.nasa.gov/wmts/epsg3857/best/VIIRS_Black_Marble/default/2012-01-01/GoogleMapsCompatible_Level8/{z}/{y}/{x}.png',
max_zoom=8,
attribution=
'Imagery provided by services from the Global Imagery Browse Services (GIBS), operated by the NASA/GSFC/Earth Science Data and Information System (<a href="https://earthdata.nasa.gov">ESDIS</a>) with funding provided by NASA/HQ.',
name='NASAGIBS.ViirsEarthAtNight2012')),
Strava=Bunch(
All=dict(
url
='https://heatmap-external-a.strava.com//tiles/all/hot/{z}/{x}/{y}.png?v=19',
max_zoom=15,
attribution=
'Map tiles by <a href="https://labs.strava.com/heatmap">Strava 2017</a>',
name='Strava.All'),
Ride=dict(
url=
'https://heatmap-external-a.strava.com//tiles/ride/hot/{z}/{x}/{y}.png?v=19',
max_zoom=15,
attribution=
'Map tiles <a href="https://labs.strava.com/heatmap">Strava 2017</a>',
name='Strava.Ride'),
Run=dict(
url=
'https://heatmap-external-a.strava.com//tiles/run/bluered/{z}/{x}/{y}.png?v=19',
max_zoom=15,
attribution=
'Map tiles by <a href="https://labs.strava.com/heatmap">Strava 2017</a>',
name='Strava.Run'),
Water=dict(
url=
'https://heatmap-external-a.strava.com//tiles/water/blue/{z}/{x}/{y}.png?v=19',
max_zoom=15,
attribution=
'Map tiles by <a href="https://labs.strava.com/heatmap">Strava 2017</a>',
name='Strava.Water'),
Winter=dict(
url=
'https://heatmap-external-a.strava.com//tiles/winter/hot/{z}/{x}/{y}.png?v=19',
max_zoom=15,
attribution=
'Map tiles by <a href="https://labs.strava.com/heatmap">Strava 2017</a>',
name='Strava.Winter')),
Stamen=Bunch(
Terrain=
dict(url='https://stamen-tiles-a.a.ssl.fastly.net/terrain/{z}/{x}/{y}.png',
attribution=''.join([
'Map tiles by <a href="http://stamen.com/">Stamen Design</a>, ',
'under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>. ',
'Data by <a href="http://openstreetmap.org/">OpenStreetMap</a>, ',
'under <a href="http://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>.'
]),
name='Stamen.Terrain',
min_zoom=0,
max_zoom=18),
Toner=dict(
url='https://stamen-tiles-a.a.ssl.fastly.net/toner/{z}/{x}/{y}.png',
attribution
=''.join([
'Map tiles by <a href="http://stamen.com/">Stamen Design</a>, ',
'under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>. ',
'Data by <a href="http://openstreetmap.org/">OpenStreetMap</a>, ',
'under <a href="http://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>.'
]),
name='Stamen.Toner',
min_zoom=0,
max_zoom=20),
Watercolor=dict(
url=
'https://stamen-tiles-a.a.ssl.fastly.net/watercolor/{z}/{x}/{y}.png',
attribution=''.join([
'Map tiles by <a href="http://stamen.com/">Stamen Design</a>, ',
'under <a href="http://creativecommons.org/licenses/by/3.0">CC BY 3.0</a>. ',
'Data by <a href="http://openstreetmap.org/">OpenStreetMap</a>, ',
'under <a href="http://creativecommons.org/licenses/by-sa/3.0">CC BY SA</a>.'
]),
name='Stamen.Watercolor',
min_zoom=1,
max_zoom=18)))
colormaps = Bunch(
BrBG=0,
PRGn=1,
PiYG=2,
PuOr=3,
RdBu=4,
RdGy=5,
RdYlBu=6,
RdYlGn=7,
Spectral=8,
BuGn=9,
BuPu=10,
GnBu=11,
OrRd=12,
PuBuGn=13,
PuBu=14,
PuRd=15,
RdPu=16,
YlGnBu=17,
YlGn=18,
YlOrBr=19,
YlOrRd=20,
Blues=21,
Greens=22,
Greys=23,
Purples=24,
Reds=25,
Oranges=26,
Cividis=27,
CubehelixDefault=28,
Rainbow=29,
Warm=30,
Cool=31,
Sinebow=32,
Turbo=33,
Viridis=34,
Magma=35,
Inferno=36,
Plasma=37
)
projections = Bunch(
# Alaska Polar Stereographic (WGS84)
EPSG5936=dict(
name='EPSG5936',
custom=True,
proj4def="""+proj=stere +lat_0=90 +lat_ts=90 +lon_0=-150 +k=0.994
+x_0=2000000 +y_0=2000000 +datum=WGS84 +units=m +no_defs""",
origin=[-2.8567784109255e+07, 3.2567784109255e+07],
resolutions=[
238810.813354, 119405.406677, 59702.7033384999, 29851.3516692501,
14925.675834625, 7462.83791731252, 3731.41895865639,
1865.70947932806, 932.854739664032, 466.427369832148,
233.213684916074, 116.60684245803701, 58.30342122888621,
29.151710614575396, 14.5758553072877, 7.28792765351156,
3.64396382688807, 1.82198191331174, 0.910990956788164,
0.45549547826179, 0.227747739130895, 0.113873869697739,
0.05693693484887, 0.028468467424435
],
bounds=[[-2623285.8808999992907047, -2623285.8808999992907047],
[6623285.8803000003099442, 6623285.8803000003099442]]),
# Polar Stereographic South (WGS84)
EPSG3031=dict(name='EPSG3031',
custom=True,
proj4def="""+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +k=1
+x_0=0 +y_0=0 +datum=WGS84 +units=m +no_defs""",
origin=[-3.06361E7, 3.0636099999999993E7],
resolutions=[
67733.46880027094,
33866.73440013547,
16933.367200067736,
8466.683600033868,
4233.341800016934,
2116.670900008467,
1058.3354500042335,
529.1677250021168,
264.5838625010584,
],
bounds=[[-4524583.19363305, -4524449.487765655],
[4524449.4877656475, 4524583.193633042]]))
projections = Bunch(
EPSG3857=dict(
name='EPSG3857',
custom=False,
),
Earth=dict(name='Earth', custom=False),
EPSG3395=dict(name='EPSG3395', custom=False),
EPSG4326=dict(name='EPSG4326', custom=False),
Base=dict(name='Base', custom=False),
Simple=dict(name='Simple', custom=False),
EPSG3413=dict(
name='EPSG3413',
custom=True,
proj4def=
"""+proj=stere +lat_0=90 +lat_ts=70 +lon_0=-45 +k=1 +x_0=0 +y_0=0
+ellps=WGS84 +datum=WGS84 +units=m +no_defs""",
# origin and bounds for 500m resolution
origin=[-4194304 / 2, 4194304 / 2],
resolutions=[8192.0, 4096.0, 2048.0, 1024.0, 512.0, 256.0],
bounds=[[-4194304 / 2, -4194304 / 2], [4194304 / 2, 4194304 / 2]]),
EPSG3031=dict(
name='EPSG3031',
custom=True,
proj4def=
"""+proj=stere +lat_0=-90 +lat_ts=-71 +lon_0=0 +k=1 +x_0=0 +y_0=0
+ellps=WGS84 +datum=WGS84 +units=m +no_defs""",
# origin and bounds for 500m resolution
origin=[-4194304 / 2, 4194304 / 2],
resolutions=[8192.0, 4096.0, 2048.0, 1024.0, 512.0, 256.0],
bounds=[[-4194304 / 2, -4194304 / 2], [4194304 / 2, 4194304 / 2]]))
def append_new_map(tmp_bunch: Bunch, map_name: str, url: str, max_zoom: int,
attribution: str, name: str) -> Bunch:
tmp_bunch.__setattr__(
map_name,
dict(url=url, max_zoom=max_zoom, attribution=attribution, name=name))
return tmp_bunch
