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# http://pyrocko.org - GPLv3 

# 

# The Pyrocko Developers, 21st Century 

# ---|P------/S----------~Lg---------- 

from __future__ import absolute_import, print_function 

 

from builtins import str as newstr 

from builtins import zip 

from builtins import map 

from builtins import range 

 

import math 

import random 

import logging 

 

try: 

from StringIO import StringIO as BytesIO 

except ImportError: 

from io import BytesIO 

 

import numpy as num 

 

from pyrocko.guts import (Object, Float, Bool, Int, Tuple, String, List, 

Unicode, Dict) 

from pyrocko.guts_array import Array 

from pyrocko.dataset import topo 

from pyrocko import orthodrome as od 

from . import gmtpy 

 

points_in_region = od.points_in_region 

 

logger = logging.getLogger('pyrocko.plot.automap') 

 

earthradius = 6371000.0 

r2d = 180./math.pi 

d2r = 1./r2d 

km = 1000. 

d2m = d2r*earthradius 

m2d = 1./d2m 

cm = gmtpy.cm 

 

 

def darken(c, f=0.7): 

return (c[0]*f, c[1]*f, c[2]*f) 

 

 

def corners(lon, lat, w, h): 

ll_lat, ll_lon = od.ne_to_latlon(lat, lon, -0.5*h, -0.5*w) 

ur_lat, ur_lon = od.ne_to_latlon(lat, lon, 0.5*h, 0.5*w) 

return ll_lon, ll_lat, ur_lon, ur_lat 

 

 

def extent(lon, lat, w, h, n): 

x = num.linspace(-0.5*w, 0.5*w, n) 

y = num.linspace(-0.5*h, 0.5*h, n) 

slats, slons = od.ne_to_latlon(lat, lon, y[0], x) 

nlats, nlons = od.ne_to_latlon(lat, lon, y[-1], x) 

south = slats.min() 

north = nlats.max() 

 

wlats, wlons = od.ne_to_latlon(lat, lon, y, x[0]) 

elats, elons = od.ne_to_latlon(lat, lon, y, x[-1]) 

elons = num.where(elons < wlons, elons + 360., elons) 

 

if elons.max() - elons.min() > 180 or wlons.max() - wlons.min() > 180.: 

west = -180. 

east = 180. 

else: 

west = wlons.min() 

east = elons.max() 

 

return topo.positive_region((west, east, south, north)) 

 

 

class NoTopo(Exception): 

pass 

 

 

class OutOfBounds(Exception): 

pass 

 

 

class FloatTile(Object): 

xmin = Float.T() 

ymin = Float.T() 

dx = Float.T() 

dy = Float.T() 

data = Array.T(shape=(None, None), dtype=num.float, serialize_as='table') 

 

def __init__(self, xmin, ymin, dx, dy, data): 

Object.__init__(self, init_props=False) 

self.xmin = float(xmin) 

self.ymin = float(ymin) 

self.dx = float(dx) 

self.dy = float(dy) 

self.data = data 

self._set_maxes() 

 

def _set_maxes(self): 

self.ny, self.nx = self.data.shape 

self.xmax = self.xmin + (self.nx-1) * self.dx 

self.ymax = self.ymin + (self.ny-1) * self.dy 

 

def x(self): 

return self.xmin + num.arange(self.nx) * self.dx 

 

def y(self): 

return self.ymin + num.arange(self.ny) * self.dy 

 

def get(self, x, y): 

ix = int(round((x - self.xmin) / self.dx)) 

iy = int(round((y - self.ymin) / self.dy)) 

if 0 <= ix < self.nx and 0 <= iy < self.ny: 

return self.data[iy, ix] 

else: 

raise OutOfBounds() 

 

 

class City(Object): 

def __init__(self, name, lat, lon, population=None, asciiname=None): 

name = newstr(name) 

lat = float(lat) 

lon = float(lon) 

if asciiname is None: 

asciiname = name.encode('ascii', errors='replace') 

 

if population is None: 

population = 0 

else: 

population = int(population) 

 

Object.__init__(self, name=name, lat=lat, lon=lon, 

population=population, asciiname=asciiname) 

 

name = Unicode.T() 

lat = Float.T() 

lon = Float.T() 

population = Int.T() 

asciiname = String.T() 

 

 

class Map(Object): 

lat = Float.T(optional=True) 

lon = Float.T(optional=True) 

radius = Float.T(optional=True) 

width = Float.T(default=20.) 

height = Float.T(default=14.) 

margins = List.T(Float.T()) 

illuminate = Bool.T(default=True) 

skip_feature_factor = Float.T(default=0.02) 

show_grid = Bool.T(default=False) 

show_topo = Bool.T(default=True) 

show_scale = Bool.T(default=False) 

show_topo_scale = Bool.T(default=False) 

show_center_mark = Bool.T(default=False) 

show_rivers = Bool.T(default=True) 

show_plates = Bool.T(default=False) 

show_boundaries = Bool.T(default=False) 

illuminate_factor_land = Float.T(default=0.5) 

illuminate_factor_ocean = Float.T(default=0.25) 

color_wet = Tuple.T(3, Int.T(), default=(216, 242, 254)) 

color_dry = Tuple.T(3, Int.T(), default=(172, 208, 165)) 

color_boundaries = Tuple.T(3, Int.T(), default=(1, 1, 1)) 

topo_resolution_min = Float.T( 

default=40., 

help='minimum resolution of topography [dpi]') 

topo_resolution_max = Float.T( 

default=200., 

help='maximum resolution of topography [dpi]') 

replace_topo_color_only = FloatTile.T( 

optional=True, 

help='replace topo color while keeping topographic shading') 

topo_cpt_wet = String.T(default='light_sea') 

topo_cpt_dry = String.T(default='light_land') 

axes_layout = String.T(optional=True) 

custom_cities = List.T(City.T()) 

gmt_config = Dict.T(String.T(), String.T()) 

comment = String.T(optional=True) 

 

def __init__(self, gmtversion='newest', **kwargs): 

Object.__init__(self, **kwargs) 

self._gmt = None 

self._scaler = None 

self._widget = None 

self._corners = None 

self._wesn = None 

self._minarea = None 

self._coastline_resolution = None 

self._rivers = None 

self._dems = None 

self._have_topo_land = None 

self._have_topo_ocean = None 

self._jxyr = None 

self._prep_topo_have = None 

self._labels = [] 

self._area_labels = [] 

self._gmtversion = gmtversion 

 

def save(self, outpath, resolution=75., oversample=2., size=None, 

width=None, height=None, psconvert=False): 

 

''' 

Save the image. 

 

Save the image to ``outpath``. The format is determined by the filename 

extension. Formats are handled as follows: ``'.eps'`` and ``'.ps'`` 

produce EPS and PS, respectively, directly with GMT. If the file name 

ends with ``'.pdf'``, GMT output is fed through ``gmtpy-epstopdf`` to 

create a PDF file. For any other filename extension, output is first 

converted to PDF with ``gmtpy-epstopdf``, then with ``pdftocairo`` to 

PNG with a resolution oversampled by the factor ``oversample`` and 

finally the PNG is downsampled and converted to the target format with 

``convert``. The resolution of rasterized target image can be 

controlled either by ``resolution`` in DPI or by specifying ``width`` 

or ``height`` or ``size``, where the latter fits the image into a 

square with given side length. To save transparency use 

``psconvert=True``. 

''' 

 

gmt = self.gmt 

self.draw_labels() 

self.draw_axes() 

if self.show_topo and self.show_topo_scale: 

self._draw_topo_scale() 

 

gmt.save(outpath, resolution=resolution, oversample=oversample, 

size=size, width=width, height=height, psconvert=psconvert) 

 

@property 

def scaler(self): 

if self._scaler is None: 

self._setup_geometry() 

 

return self._scaler 

 

@property 

def wesn(self): 

if self._wesn is None: 

self._setup_geometry() 

 

return self._wesn 

 

@property 

def widget(self): 

if self._widget is None: 

self._setup() 

 

return self._widget 

 

@property 

def layout(self): 

if self._layout is None: 

self._setup() 

 

return self._layout 

 

@property 

def jxyr(self): 

if self._jxyr is None: 

self._setup() 

 

return self._jxyr 

 

@property 

def pxyr(self): 

if self._pxyr is None: 

self._setup() 

 

return self._pxyr 

 

@property 

def gmt(self): 

if self._gmt is None: 

self._setup() 

 

if self._have_topo_ocean is None: 

self._draw_background() 

 

return self._gmt 

 

def _setup(self): 

if not self._widget: 

self._setup_geometry() 

 

self._setup_lod() 

self._setup_gmt() 

 

def _setup_geometry(self): 

wpage, hpage = self.width, self.height 

ml, mr, mt, mb = self._expand_margins() 

wpage -= ml + mr 

hpage -= mt + mb 

 

wreg = self.radius * 2.0 

hreg = self.radius * 2.0 

if wpage >= hpage: 

wreg *= wpage/hpage 

else: 

hreg *= hpage/wpage 

 

self._wreg = wreg 

self._hreg = hreg 

 

self._corners = corners(self.lon, self.lat, wreg, hreg) 

west, east, south, north = extent(self.lon, self.lat, wreg, hreg, 10) 

 

x, y, z = ((west, east), (south, north), (-6000., 4500.)) 

 

xax = gmtpy.Ax(mode='min-max', approx_ticks=4.) 

yax = gmtpy.Ax(mode='min-max', approx_ticks=4.) 

zax = gmtpy.Ax(mode='min-max', inc=1000., label='Height', 

scaled_unit='km', scaled_unit_factor=0.001) 

 

scaler = gmtpy.ScaleGuru(data_tuples=[(x, y, z)], axes=(xax, yax, zax)) 

 

par = scaler.get_params() 

 

west = par['xmin'] 

east = par['xmax'] 

south = par['ymin'] 

north = par['ymax'] 

 

self._wesn = west, east, south, north 

self._scaler = scaler 

 

def _setup_lod(self): 

w, e, s, n = self._wesn 

if self.radius > 1500.*km: 

coastline_resolution = 'i' 

rivers = False 

else: 

coastline_resolution = 'f' 

rivers = True 

 

self._minarea = (self.skip_feature_factor * self.radius/km)**2 

 

self._coastline_resolution = coastline_resolution 

self._rivers = rivers 

 

self._prep_topo_have = {} 

self._dems = {} 

 

cm2inch = gmtpy.cm/gmtpy.inch 

 

dmin = 2.0 * self.radius * m2d / (self.topo_resolution_max * 

(self.height * cm2inch)) 

dmax = 2.0 * self.radius * m2d / (self.topo_resolution_min * 

(self.height * cm2inch)) 

 

for k in ['ocean', 'land']: 

self._dems[k] = topo.select_dem_names(k, dmin, dmax, self._wesn) 

if self._dems[k]: 

logger.debug('using topography dataset %s for %s' 

% (','.join(self._dems[k]), k)) 

 

def _expand_margins(self): 

if len(self.margins) == 0 or len(self.margins) > 4: 

ml = mr = mt = mb = 2.0 

elif len(self.margins) == 1: 

ml = mr = mt = mb = self.margins[0] 

elif len(self.margins) == 2: 

ml = mr = self.margins[0] 

mt = mb = self.margins[1] 

elif len(self.margins) == 4: 

ml, mr, mt, mb = self.margins 

 

return ml, mr, mt, mb 

 

def _setup_gmt(self): 

w, h = self.width, self.height 

scaler = self._scaler 

 

if gmtpy.is_gmt5(self._gmtversion): 

gmtconf = dict( 

MAP_TICK_PEN_PRIMARY='1.25p', 

MAP_TICK_PEN_SECONDARY='1.25p', 

MAP_TICK_LENGTH_PRIMARY='0.2c', 

MAP_TICK_LENGTH_SECONDARY='0.6c', 

FONT_ANNOT_PRIMARY='12p,1,black', 

FONT_LABEL='12p,1,black', 

PS_CHAR_ENCODING='ISOLatin1+', 

MAP_FRAME_TYPE='fancy', 

FORMAT_GEO_MAP='D', 

PS_MEDIA='Custom_%ix%i' % ( 

w*gmtpy.cm, 

h*gmtpy.cm), 

PS_PAGE_ORIENTATION='portrait', 

MAP_GRID_PEN_PRIMARY='thinnest,0/50/0', 

MAP_ANNOT_OBLIQUE='6') 

else: 

gmtconf = dict( 

TICK_PEN='1.25p', 

TICK_LENGTH='0.2c', 

ANNOT_FONT_PRIMARY='1', 

ANNOT_FONT_SIZE_PRIMARY='12p', 

LABEL_FONT='1', 

LABEL_FONT_SIZE='12p', 

CHAR_ENCODING='ISOLatin1+', 

BASEMAP_TYPE='fancy', 

PLOT_DEGREE_FORMAT='D', 

PAPER_MEDIA='Custom_%ix%i' % ( 

w*gmtpy.cm, 

h*gmtpy.cm), 

GRID_PEN_PRIMARY='thinnest/0/50/0', 

DOTS_PR_INCH='1200', 

OBLIQUE_ANNOTATION='6') 

 

gmtconf.update( 

(k.upper(), v) for (k, v) in self.gmt_config.items()) 

 

gmt = gmtpy.GMT(config=gmtconf, version=self._gmtversion) 

 

layout = gmt.default_layout() 

 

layout.set_fixed_margins(*[x*cm for x in self._expand_margins()]) 

 

widget = layout.get_widget() 

widget['P'] = widget['J'] 

widget['J'] = ('-JA%g/%g' % (self.lon, self.lat)) + '/%(width)gp' 

scaler['R'] = '-R%g/%g/%g/%gr' % self._corners 

 

# aspect = gmtpy.aspect_for_projection( 

# gmt.installation['version'], *(widget.J() + scaler.R())) 

 

aspect = self._map_aspect(jr=widget.J() + scaler.R()) 

widget.set_aspect(aspect) 

 

self._gmt = gmt 

self._layout = layout 

self._widget = widget 

self._jxyr = self._widget.JXY() + self._scaler.R() 

self._pxyr = self._widget.PXY() + [ 

'-R%g/%g/%g/%g' % (0, widget.width(), 0, widget.height())] 

self._have_drawn_axes = False 

self._have_drawn_labels = False 

 

def _draw_background(self): 

self._have_topo_land = False 

self._have_topo_ocean = False 

if self.show_topo: 

self._have_topo = self._draw_topo() 

 

self._draw_basefeatures() 

 

def _get_topo_tile(self, k): 

t = None 

demname = None 

for dem in self._dems[k]: 

t = topo.get(dem, self._wesn) 

demname = dem 

if t is not None: 

break 

 

if not t: 

raise NoTopo() 

 

return t, demname 

 

def _prep_topo(self, k): 

gmt = self._gmt 

t, demname = self._get_topo_tile(k) 

 

if demname not in self._prep_topo_have: 

 

grdfile = gmt.tempfilename() 

 

is_flat = num.all(t.data[0] == t.data) 

 

gmtpy.savegrd( 

t.x(), t.y(), t.data, filename=grdfile, naming='lonlat') 

 

if self.illuminate and not is_flat: 

if k == 'ocean': 

factor = self.illuminate_factor_ocean 

else: 

factor = self.illuminate_factor_land 

 

ilumfn = gmt.tempfilename() 

gmt.grdgradient( 

grdfile, 

N='e%g' % factor, 

A=-45, 

G=ilumfn, 

out_discard=True) 

 

ilumargs = ['-I%s' % ilumfn] 

else: 

ilumargs = [] 

 

if self.replace_topo_color_only: 

t2 = self.replace_topo_color_only 

grdfile2 = gmt.tempfilename() 

 

gmtpy.savegrd( 

t2.x(), t2.y(), t2.data, filename=grdfile2, 

naming='lonlat') 

 

if gmt.is_gmt5(): 

gmt.grdsample( 

grdfile2, 

G=grdfile, 

n='l', 

I='%g/%g' % (t.dx, t.dy), # noqa 

R=grdfile, 

out_discard=True) 

else: 

gmt.grdsample( 

grdfile2, 

G=grdfile, 

Q='l', 

I='%g/%g' % (t.dx, t.dy), # noqa 

R=grdfile, 

out_discard=True) 

 

gmt.grdmath( 

grdfile, '0.0', 'AND', '=', grdfile2, 

out_discard=True) 

 

grdfile = grdfile2 

 

self._prep_topo_have[demname] = grdfile, ilumargs 

 

return self._prep_topo_have[demname] 

 

def _draw_topo(self): 

widget = self._widget 

scaler = self._scaler 

gmt = self._gmt 

cres = self._coastline_resolution 

minarea = self._minarea 

 

JXY = widget.JXY() 

R = scaler.R() 

 

try: 

grdfile, ilumargs = self._prep_topo('ocean') 

gmt.pscoast(D=cres, S='c', A=minarea, *(JXY+R)) 

gmt.grdimage(grdfile, C=topo.cpt(self.topo_cpt_wet), 

*(ilumargs+JXY+R)) 

gmt.pscoast(Q=True, *(JXY+R)) 

self._have_topo_ocean = True 

except NoTopo: 

self._have_topo_ocean = False 

 

try: 

grdfile, ilumargs = self._prep_topo('land') 

gmt.pscoast(D=cres, G='c', A=minarea, *(JXY+R)) 

gmt.grdimage(grdfile, C=topo.cpt(self.topo_cpt_dry), 

*(ilumargs+JXY+R)) 

gmt.pscoast(Q=True, *(JXY+R)) 

self._have_topo_land = True 

except NoTopo: 

self._have_topo_land = False 

 

def _draw_topo_scale(self, label='Elevation [km]'): 

dry = read_cpt(topo.cpt(self.topo_cpt_dry)) 

wet = read_cpt(topo.cpt(self.topo_cpt_wet)) 

combi = cpt_merge_wet_dry(wet, dry) 

for level in combi.levels: 

level.vmin /= km 

level.vmax /= km 

 

topo_cpt = self.gmt.tempfilename() + '.cpt' 

write_cpt(combi, topo_cpt) 

 

(w, h), (xo, yo) = self.widget.get_size() 

self.gmt.psscale( 

D='%gp/%gp/%gp/%gph' % (xo + 0.5*w, yo - 2.0*gmtpy.cm, w, 

0.5*gmtpy.cm), 

C=topo_cpt, 

B='1:%s:' % label) 

 

def _draw_basefeatures(self): 

gmt = self._gmt 

cres = self._coastline_resolution 

rivers = self._rivers 

minarea = self._minarea 

 

color_wet = self.color_wet 

color_dry = self.color_dry 

 

if self.show_rivers and rivers: 

rivers = ['-Ir/0.25p,%s' % gmtpy.color(self.color_wet)] 

else: 

rivers = [] 

 

fill = {} 

if not self._have_topo_land: 

fill['G'] = color_dry 

 

if not self._have_topo_ocean: 

fill['S'] = color_wet 

 

if self.show_boundaries: 

fill['N'] = '1/1p,%s,%s' % ( 

gmtpy.color(self.color_boundaries), 'solid') 

 

gmt.pscoast( 

D=cres, 

W='thinnest,%s' % gmtpy.color(darken(gmtpy.color_tup(color_dry))), 

A=minarea, 

*(rivers+self._jxyr), **fill) 

 

if self.show_plates: 

self.draw_plates() 

 

def _draw_axes(self): 

gmt = self._gmt 

scaler = self._scaler 

widget = self._widget 

 

if self.axes_layout is None: 

if self.lat > 0.0: 

axes_layout = 'WSen' 

else: 

axes_layout = 'WseN' 

else: 

axes_layout = self.axes_layout 

 

scale_km = gmtpy.nice_value(self.radius/5.) / 1000. 

 

if self.show_center_mark: 

gmt.psxy( 

in_rows=[[self.lon, self.lat]], 

S='c20p', W='2p,black', 

*self._jxyr) 

 

if self.show_grid: 

btmpl = ('%(xinc)gg%(xinc)g:%(xlabel)s:/' 

'%(yinc)gg%(yinc)g:%(ylabel)s:') 

else: 

btmpl = '%(xinc)g:%(xlabel)s:/%(yinc)g:%(ylabel)s:' 

 

if self.show_scale: 

scale = 'x%gp/%gp/%g/%g/%gk' % ( 

6./7*widget.width(), 

widget.height()/7., 

self.lon, 

self.lat, 

scale_km) 

else: 

scale = False 

 

gmt.psbasemap( 

B=(btmpl % scaler.get_params())+axes_layout, 

L=scale, 

*self._jxyr) 

 

if self.comment: 

font_size = self.gmt.label_font_size() 

 

_, east, south, _ = self._wesn 

if gmt.is_gmt5(): 

row = [ 

1, 0, 

'%gp,%s,%s' % (font_size, 0, 'black'), 'BR', 

self.comment] 

 

farg = ['-F+f+j'] 

else: 

row = [1, 0, font_size, 0, 0, 'BR', self.comment] 

farg = [] 

 

gmt.pstext( 

in_rows=[row], 

N=True, 

R=(0, 1, 0, 1), 

D='%gp/%gp' % (-font_size*0.2, font_size*0.3), 

*(widget.PXY() + farg)) 

 

def draw_axes(self): 

if not self._have_drawn_axes: 

self._draw_axes() 

self._have_drawn_axes = True 

 

def _have_coastlines(self): 

gmt = self._gmt 

cres = self._coastline_resolution 

minarea = self._minarea 

 

checkfile = gmt.tempfilename() 

 

gmt.pscoast( 

M=True, 

D=cres, 

W='thinnest,black', 

A=minarea, 

out_filename=checkfile, 

*self._jxyr) 

 

points = [] 

with open(checkfile, 'r') as f: 

for line in f: 

ls = line.strip() 

if ls.startswith('#') or ls.startswith('>') or ls == '': 

continue 

plon, plat = [float(x) for x in ls.split()] 

points.append((plat, plon)) 

 

points = num.array(points, dtype=num.float) 

return num.any(points_in_region(points, self._wesn)) 

 

def have_coastlines(self): 

self.gmt 

return self._have_coastlines() 

 

def project(self, lats, lons, jr=None): 

onepoint = False 

if isinstance(lats, float) and isinstance(lons, float): 

lats = [lats] 

lons = [lons] 

onepoint = True 

 

if jr is not None: 

j, r = jr 

gmt = gmtpy.GMT(version=self._gmtversion) 

else: 

j, _, _, r = self.jxyr 

gmt = self.gmt 

 

f = BytesIO() 

gmt.mapproject(j, r, in_columns=(lons, lats), out_stream=f, D='p') 

f.seek(0) 

data = num.loadtxt(f, ndmin=2) 

xs, ys = data.T 

if onepoint: 

xs = xs[0] 

ys = ys[0] 

return xs, ys 

 

def _map_box(self, jr=None): 

ll_lon, ll_lat, ur_lon, ur_lat = self._corners 

 

xs_corner, ys_corner = self.project( 

(ll_lat, ur_lat), (ll_lon, ur_lon), jr=jr) 

 

w = xs_corner[1] - xs_corner[0] 

h = ys_corner[1] - ys_corner[0] 

 

return w, h 

 

def _map_aspect(self, jr=None): 

w, h = self._map_box(jr=jr) 

return h/w 

 

def _draw_labels(self): 

points_taken = [] 

regions_taken = [] 

 

def no_points_in_rect(xs, ys, xmin, ymin, xmax, ymax): 

xx = not num.any(la(la(xmin < xs, xs < xmax), 

la(ymin < ys, ys < ymax))) 

return xx 

 

def roverlaps(a, b): 

return (a[0] < b[2] and b[0] < a[2] and 

a[1] < b[3] and b[1] < a[3]) 

 

w, h = self._map_box() 

 

label_font_size = self.gmt.label_font_size() 

 

if self._labels: 

 

n = len(self._labels) 

 

lons, lats, texts, sx, sy, colors, fonts, font_sizes, \ 

angles, styles = list(zip(*self._labels)) 

 

font_sizes = [ 

(font_size or label_font_size) for font_size in font_sizes] 

 

sx = num.array(sx, dtype=num.float) 

sy = num.array(sy, dtype=num.float) 

 

xs, ys = self.project(lats, lons) 

 

points_taken.append((xs, ys)) 

 

dxs = num.zeros(n) 

dys = num.zeros(n) 

 

for i in range(n): 

dx, dy = gmtpy.text_box( 

texts[i], 

font=fonts[i], 

font_size=font_sizes[i], 

**styles[i]) 

 

dxs[i] = dx 

dys[i] = dy 

 

la = num.logical_and 

anchors_ok = ( 

la(xs + sx + dxs < w, ys + sy + dys < h), 

la(xs - sx - dxs > 0., ys - sy - dys > 0.), 

la(xs + sx + dxs < w, ys - sy - dys > 0.), 

la(xs - sx - dxs > 0., ys + sy + dys < h), 

) 

 

arects = [ 

(xs, ys, xs + sx + dxs, ys + sy + dys), 

(xs - sx - dxs, ys - sy - dys, xs, ys), 

(xs, ys - sy - dys, xs + sx + dxs, ys), 

(xs - sx - dxs, ys, xs, ys + sy + dys)] 

 

for i in range(n): 

for ianch in range(4): 

anchors_ok[ianch][i] &= no_points_in_rect( 

xs, ys, *[xxx[i] for xxx in arects[ianch]]) 

 

anchor_choices = [] 

anchor_take = [] 

for i in range(n): 

choices = [ianch for ianch in range(4) 

if anchors_ok[ianch][i]] 

anchor_choices.append(choices) 

if choices: 

anchor_take.append(choices[0]) 

else: 

anchor_take.append(None) 

 

def cost(anchor_take): 

noverlaps = 0 

for i in range(n): 

for j in range(n): 

if i != j: 

i_take = anchor_take[i] 

j_take = anchor_take[j] 

if i_take is None or j_take is None: 

continue 

r_i = [xxx[i] for xxx in arects[i_take]] 

r_j = [xxx[j] for xxx in arects[j_take]] 

if roverlaps(r_i, r_j): 

noverlaps += 1 

 

return noverlaps 

 

cur_cost = cost(anchor_take) 

imax = 30 

while cur_cost != 0 and imax > 0: 

for i in range(n): 

for t in anchor_choices[i]: 

anchor_take_new = list(anchor_take) 

anchor_take_new[i] = t 

new_cost = cost(anchor_take_new) 

if new_cost < cur_cost: 

anchor_take = anchor_take_new 

cur_cost = new_cost 

 

imax -= 1 

 

while cur_cost != 0: 

for i in range(n): 

anchor_take_new = list(anchor_take) 

anchor_take_new[i] = None 

new_cost = cost(anchor_take_new) 

if new_cost < cur_cost: 

anchor_take = anchor_take_new 

cur_cost = new_cost 

break 

 

anchor_strs = ['BL', 'TR', 'TL', 'BR'] 

 

for i in range(n): 

ianchor = anchor_take[i] 

color = colors[i] 

if color is None: 

color = 'black' 

 

if ianchor is not None: 

regions_taken.append([xxx[i] for xxx in arects[ianchor]]) 

 

anchor = anchor_strs[ianchor] 

 

yoff = [-sy[i], sy[i]][anchor[0] == 'B'] 

xoff = [-sx[i], sx[i]][anchor[1] == 'L'] 

if self.gmt.is_gmt5(): 

row = ( 

lons[i], lats[i], 

'%i,%s,%s' % (font_sizes[i], fonts[i], color), 

anchor, 

texts[i]) 

 

farg = ['-F+f+j+a%g' % angles[i]] 

else: 

row = ( 

lons[i], lats[i], 

font_sizes[i], angles[i], fonts[i], anchor, 

texts[i]) 

farg = ['-G%s' % color] 

 

self.gmt.pstext( 

in_rows=[row], 

D='%gp/%gp' % (xoff, yoff), 

*(self.jxyr + farg), 

**styles[i]) 

 

if self._area_labels: 

 

for lons, lats, text, color, font, font_size, style in \ 

self._area_labels: 

 

if font_size is None: 

font_size = label_font_size 

 

if color is None: 

color = 'black' 

 

if self.gmt.is_gmt5(): 

farg = ['-F+f+j'] 

else: 

farg = ['-G%s' % color] 

 

xs, ys = self.project(lats, lons) 

dx, dy = gmtpy.text_box( 

text, font=font, font_size=font_size, **style) 

 

rects = [xs-0.5*dx, ys-0.5*dy, xs+0.5*dx, ys+0.5*dy] 

 

locs_ok = num.ones(xs.size, dtype=num.bool) 

 

for iloc in range(xs.size): 

rcandi = [xxx[iloc] for xxx in rects] 

 

locs_ok[iloc] = True 

locs_ok[iloc] &= ( 

0 < rcandi[0] and rcandi[2] < w 

and 0 < rcandi[1] and rcandi[3] < h) 

 

overlap = False 

for r in regions_taken: 

if roverlaps(r, rcandi): 

overlap = True 

break 

 

locs_ok[iloc] &= not overlap 

 

for xs_taken, ys_taken in points_taken: 

locs_ok[iloc] &= no_points_in_rect( 

xs_taken, ys_taken, *rcandi) 

 

if not locs_ok[iloc]: 

break 

 

rows = [] 

for iloc, (lon, lat) in enumerate(zip(lons, lats)): 

if not locs_ok[iloc]: 

continue 

 

if self.gmt.is_gmt5(): 

row = ( 

lon, lat, 

'%i,%s,%s' % (font_size, font, color), 

'MC', 

text) 

 

else: 

row = ( 

lon, lat, 

font_size, 0, font, 'MC', 

text) 

 

rows.append(row) 

 

regions_taken.append([xxx[iloc] for xxx in rects]) 

break 

 

self.gmt.pstext( 

in_rows=rows, 

*(self.jxyr + farg), 

**style) 

 

def draw_labels(self): 

self.gmt 

if not self._have_drawn_labels: 

self._draw_labels() 

self._have_drawn_labels = True 

 

def add_label( 

self, lat, lon, text, 

offset_x=5., offset_y=5., 

color=None, 

font='1', 

font_size=None, 

angle=0, 

style={}): 

 

if 'G' in style: 

style = style.copy() 

color = style.pop('G') 

 

self._labels.append( 

(lon, lat, text, offset_x, offset_y, color, font, font_size, 

angle, style)) 

 

def add_area_label( 

self, lat, lon, text, 

color=None, 

font='3', 

font_size=None, 

style={}): 

 

self._area_labels.append( 

(lon, lat, text, color, font, font_size, style)) 

 

def cities_in_region(self): 

from pyrocko.dataset import geonames 

cities = geonames.get_cities_region(region=self.wesn, minpop=0) 

cities.extend(self.custom_cities) 

cities.sort(key=lambda x: x.population) 

return cities 

 

def draw_cities(self, 

exact=None, 

include=[], 

exclude=[], 

nmax_soft=10, 

psxy_style=dict(S='s5p', G='black')): 

 

cities = self.cities_in_region() 

 

if exact is not None: 

cities = [c for c in cities if c.name in exact] 

minpop = None 

else: 

cities = [c for c in cities if c.name not in exclude] 

minpop = 10**3 

for minpop_new in [1e3, 3e3, 1e4, 3e4, 1e5, 3e5, 1e6, 3e6, 1e7]: 

cities_new = [ 

c for c in cities 

if c.population > minpop_new or c.name in include] 

 

if len(cities_new) == 0 or ( 

len(cities_new) < 3 and len(cities) < nmax_soft*2): 

break 

 

cities = cities_new 

minpop = minpop_new 

if len(cities) <= nmax_soft: 

break 

 

if cities: 

lats = [c.lat for c in cities] 

lons = [c.lon for c in cities] 

 

self.gmt.psxy( 

in_columns=(lons, lats), 

*self.jxyr, **psxy_style) 

 

for c in cities: 

try: 

text = c.name.encode('iso-8859-1').decode('iso-8859-1') 

except UnicodeEncodeError: 

text = c.asciiname 

 

self.add_label(c.lat, c.lon, text) 

 

self._cities_minpop = minpop 

 

def add_stations(self, stations, psxy_style=dict()): 

 

default_psxy_style = { 

'S': 't8p', 

'G': 'black' 

} 

default_psxy_style.update(psxy_style) 

 

lats, lons = zip(*[s.effective_latlon for s in stations]) 

 

self.gmt.psxy( 

in_columns=(lons, lats), 

*self.jxyr, **default_psxy_style) 

 

for station in stations: 

self.add_label( 

station.effective_lat, 

station.effective_lon, 

'.'.join(x for x in (station.network, station.station) if x)) 

 

def add_kite_scene(self, scene): 

tile = FloatTile( 

scene.frame.llLon, 

scene.frame.llLat, 

scene.frame.dLon, 

scene.frame.dLat, 

scene.displacement) 

 

return tile 

 

def add_gnss_campaign(self, campaign, psxy_style=None, offset_scale=None, 

labels=True, vertical=False, fontsize=10): 

 

stations = campaign.stations 

 

if offset_scale is None: 

offset_scale = num.zeros(campaign.nstations) 

for ista, sta in enumerate(stations): 

for comp in sta.components.values(): 

offset_scale[ista] += comp.shift 

offset_scale = num.sqrt(offset_scale**2).max() 

 

size = math.sqrt(self.height**2 + self.width**2) 

scale = (size/10.) / offset_scale 

logger.debug('GNSS: Using offset scale %f, map scale %f', 

offset_scale, scale) 

 

lats, lons = zip(*[s.effective_latlon for s in stations]) 

 

if vertical: 

rows = [[lons[ista], lats[ista], 

0., s.up.shift, 

(s.east.sigma + s.north.sigma) if s.east.sigma else 0., 

s.up.sigma, 0., 

s.code if labels else None] 

for ista, s in enumerate(stations) 

if s.up is not None] 

 

else: 

rows = [[lons[ista], lats[ista], 

s.east.shift, s.north.shift, 

s.east.sigma, s.north.sigma, s.correlation_ne, 

s.code if labels else None] 

for ista, s in enumerate(stations) 

if s.east is not None or s.north is not None] 

 

default_psxy_style = { 

'h': 0, 

'W': '2p,black', 

'A': '+p2p,black+e+a40', 

'G': 'black', 

'L': True, 

'S': 'e%dc/0.95/%d' % (scale, fontsize), 

} 

 

if not labels: 

for row in rows: 

row.pop(-1) 

 

if psxy_style is not None: 

default_psxy_style.update(psxy_style) 

 

self.gmt.psvelo( 

in_rows=rows, 

*self.jxyr, 

**default_psxy_style) 

 

def draw_plates(self): 

from pyrocko.dataset import tectonics 

 

neast = 20 

nnorth = max(1, int(round(num.round(self._hreg/self._wreg * neast)))) 

norths = num.linspace(-self._hreg*0.5, self._hreg*0.5, nnorth) 

easts = num.linspace(-self._wreg*0.5, self._wreg*0.5, neast) 

norths2 = num.repeat(norths, neast) 

easts2 = num.tile(easts, nnorth) 

lats, lons = od.ne_to_latlon( 

self.lat, self.lon, norths2, easts2) 

 

bird = tectonics.PeterBird2003() 

plates = bird.get_plates() 

 

color_plates = gmtpy.color('aluminium5') 

color_velocities = gmtpy.color('skyblue1') 

color_velocities_lab = gmtpy.color(darken(gmtpy.color_tup('skyblue1'))) 

 

points = num.vstack((lats, lons)).T 

used = [] 

for plate in plates: 

mask = plate.contains_points(points) 

if num.any(mask): 

used.append((plate, mask)) 

 

if len(used) > 1: 

 

candi_fixed = {} 

 

label_data = [] 

for plate, mask in used: 

 

mean_north = num.mean(norths2[mask]) 

mean_east = num.mean(easts2[mask]) 

iorder = num.argsort(num.sqrt( 

(norths2[mask] - mean_north)**2 + 

(easts2[mask] - mean_east)**2)) 

 

lat_candis = lats[mask][iorder] 

lon_candis = lons[mask][iorder] 

 

candi_fixed[plate.name] = lat_candis.size 

 

label_data.append(( 

lat_candis, lon_candis, plate, color_plates)) 

 

boundaries = bird.get_boundaries() 

 

size = 2 

 

psxy_kwargs = [] 

 

for boundary in boundaries: 

if num.any(points_in_region(boundary.points, self._wesn)): 

for typ, part in boundary.split_types( 

[['SUB'], 

['OSR', 'OTF', 'OCB', 'CTF', 'CCB', 'CRB']]): 

 

lats, lons = part.T 

 

kwargs = {} 

if typ[0] == 'SUB': 

if boundary.kind == '\\': 

kwargs['S'] = 'f%g/%gp+t+r' % ( 

0.45*size, 3.*size) 

elif boundary.kind == '/': 

kwargs['S'] = 'f%g/%gp+t+l' % ( 

0.45*size, 3.*size) 

 

kwargs['G'] = color_plates 

 

kwargs['in_columns'] = (lons, lats) 

kwargs['W'] = '%gp,%s' % (size, color_plates), 

 

psxy_kwargs.append(kwargs) 

 

if boundary.kind == '\\': 

if boundary.name2 in candi_fixed: 

candi_fixed[boundary.name2] += neast*nnorth 

 

elif boundary.kind == '/': 

if boundary.name1 in candi_fixed: 

candi_fixed[boundary.name1] += neast*nnorth 

 

candi_fixed = [name for name in sorted( 

list(candi_fixed.keys()), key=lambda name: -candi_fixed[name])] 

 

candi_fixed.append(None) 

 

gsrm = tectonics.GSRM1() 

 

for name in candi_fixed: 

if name not in gsrm.plate_names() \ 

and name not in gsrm.plate_alt_names(): 

 

continue 

 

lats, lons, vnorth, veast, vnorth_err, veast_err, corr = \ 

gsrm.get_velocities(name, region=self._wesn) 

 

fixed_plate_name = name 

 

self.gmt.psvelo( 

in_columns=( 

lons, lats, veast, vnorth, veast_err, vnorth_err, 

corr), 

W='0.25p,%s' % color_velocities, 

A='9p+e+g%s' % color_velocities, 

S='e0.2p/0.95/10', 

*self.jxyr) 

 

for _ in range(len(lons) // 50 + 1): 

ii = random.randint(0, len(lons)-1) 

v = math.sqrt(vnorth[ii]**2 + veast[ii]**2) 

self.add_label( 

lats[ii], lons[ii], '%.0f' % v, 

font_size=0.7*self.gmt.label_font_size(), 

style=dict( 

G=color_velocities_lab)) 

 

break 

 

for (lat_candis, lon_candis, plate, color) in label_data: 

full_name = bird.full_name(plate.name) 

if plate.name == fixed_plate_name: 

full_name = '@_' + full_name + '@_' 

 

self.add_area_label( 

lat_candis, lon_candis, 

full_name, 

color=color, 

font='3') 

 

for kwargs in psxy_kwargs: 

self.gmt.psxy(*self.jxyr, **kwargs) 

 

 

def rand(mi, ma): 

mi = float(mi) 

ma = float(ma) 

return random.random() * (ma-mi) + mi 

 

 

def split_region(region): 

west, east, south, north = topo.positive_region(region) 

if east > 180: 

return [(west, 180., south, north), 

(-180., east-360., south, north)] 

else: 

return [region] 

 

 

class CPTLevel(Object): 

vmin = Float.T() 

vmax = Float.T() 

color_min = Tuple.T(3, Float.T()) 

color_max = Tuple.T(3, Float.T()) 

 

 

class CPT(Object): 

color_below = Tuple.T(3, Float.T(), optional=True) 

color_above = Tuple.T(3, Float.T(), optional=True) 

color_nan = Tuple.T(3, Float.T(), optional=True) 

levels = List.T(CPTLevel.T()) 

 

def scale(self, vmin, vmax): 

vmin_old, vmax_old = self.levels[0].vmin, self.levels[-1].vmax 

for level in self.levels: 

level.vmin = (level.vmin - vmin_old) / (vmax_old - vmin_old) * \ 

(vmax - vmin) + vmin 

level.vmax = (level.vmax - vmin_old) / (vmax_old - vmin_old) * \ 

(vmax - vmin) + vmin 

 

def discretize(self, nlevels): 

colors = [] 

vals = [] 

for level in self.levels: 

vals.append(level.vmin) 

vals.append(level.vmax) 

colors.append(level.color_min) 

colors.append(level.color_max) 

 

r, g, b = num.array(colors, dtype=num.float).T 

vals = num.array(vals, dtype=num.float) 

 

vmin, vmax = self.levels[0].vmin, self.levels[-1].vmax 

x = num.linspace(vmin, vmax, nlevels+1) 

rd = num.interp(x, vals, r) 

gd = num.interp(x, vals, g) 

bd = num.interp(x, vals, b) 

 

levels = [] 

for ilevel in range(nlevels): 

color = ( 

float(0.5*(rd[ilevel]+rd[ilevel+1])), 

float(0.5*(gd[ilevel]+gd[ilevel+1])), 

float(0.5*(bd[ilevel]+bd[ilevel+1]))) 

 

levels.append(CPTLevel( 

vmin=x[ilevel], 

vmax=x[ilevel+1], 

color_min=color, 

color_max=color)) 

 

cpt = CPT( 

color_below=self.color_below, 

color_above=self.color_above, 

color_nan=self.color_nan, 

levels=levels) 

 

return cpt 

 

 

class CPTParseError(Exception): 

pass 

 

 

def read_cpt(filename): 

with open(filename) as f: 

color_below = None 

color_above = None 

color_nan = None 

levels = [] 

try: 

for line in f: 

line = line.strip() 

toks = line.split() 

 

if line.startswith('#'): 

continue 

 

elif line.startswith('B'): 

color_below = tuple(map(float, toks[1:4])) 

 

elif line.startswith('F'): 

color_above = tuple(map(float, toks[1:4])) 

 

elif line.startswith('N'): 

color_nan = tuple(map(float, toks[1:4])) 

 

else: 

values = list(map(float, line.split())) 

vmin = values[0] 

color_min = tuple(values[1:4]) 

vmax = values[4] 

color_max = tuple(values[5:8]) 

levels.append(CPTLevel( 

vmin=vmin, 

vmax=vmax, 

color_min=color_min, 

color_max=color_max)) 

 

except Exception: 

raise CPTParseError() 

 

return CPT( 

color_below=color_below, 

color_above=color_above, 

color_nan=color_nan, 

levels=levels) 

 

 

def color_to_int(color): 

return tuple(max(0, min(255, int(round(x)))) for x in color) 

 

 

def write_cpt(cpt, filename): 

with open(filename, 'w') as f: 

for level in cpt.levels: 

f.write( 

'%e %i %i %i %e %i %i %i\n' % 

((level.vmin, ) + color_to_int(level.color_min) + 

(level.vmax, ) + color_to_int(level.color_max))) 

 

if cpt.color_below: 

f.write('B %i %i %i\n' % color_to_int(cpt.color_below)) 

 

if cpt.color_above: 

f.write('F %i %i %i\n' % color_to_int(cpt.color_above)) 

 

if cpt.color_nan: 

f.write('N %i %i %i\n' % color_to_int(cpt.color_nan)) 

 

 

def cpt_merge_wet_dry(wet, dry): 

levels = [] 

for level in wet.levels: 

if level.vmin < 0.: 

if level.vmax > 0.: 

level.vmax = 0. 

 

levels.append(level) 

 

for level in dry.levels: 

if level.vmax > 0.: 

if level.vmin < 0.: 

level.vmin = 0. 

 

levels.append(level) 

 

combi = CPT( 

color_below=wet.color_below, 

color_above=dry.color_above, 

color_nan=dry.color_nan, 

levels=levels) 

 

return combi 

 

 

if __name__ == '__main__': 

from pyrocko import util 

util.setup_logging('pyrocko.automap', 'info') 

 

import sys 

if len(sys.argv) == 2: 

 

n = int(sys.argv[1]) 

 

for i in range(n): 

m = Map( 

lat=rand(-60., 60.), 

lon=rand(-180., 180.), 

radius=math.exp(rand(math.log(500*km), math.log(3000*km))), 

width=30., height=30., 

show_grid=True, 

show_topo=True, 

color_dry=(238, 236, 230), 

topo_cpt_wet='light_sea_uniform', 

topo_cpt_dry='light_land_uniform', 

illuminate=True, 

illuminate_factor_ocean=0.15, 

show_rivers=False, 

show_plates=True) 

 

m.draw_cities() 

print(m) 

m.save('map_%02i.pdf' % i)