我使用Q.js库编写了一个小型JavaScript应用程序，它在Chrome中运行良好，但在Firefox中运行不正常。我收到以下错误：
错误：脚本因超时而终止：
Promise.prototype.then@https://rawgit.com/kriskowal/q/v1/q.js:832:1
当@ https://rawgit.com/kriskowal/q/v1/q.js:939:12
continuer @ https://rawgit.com/kriskowal/q/v1/q.js:1299:24
_fulfilled @ https://rawgit.com/kriskowal/q/v1/q.js:834:54
Promise.prototype.then / HTTPS：//rawgit.com/kriskowal/q/v1/q.js：863：30个
Promise/promise.promiseDispatch@https://rawgit.com/kriskowal/q/v1/q.js:796:13
Promise.prototype.then /＆LT; @ https://rawgit.com/kriskowal/q/v1/q.js:857:1
runSingle @ https://rawgit.com/kriskowal/q/v1/q.js:137:13
冲洗@ https://rawgit.com/kriskowal/q/v1/q.js:125:13
我不确定我是否正确使用了库。特别是，文档说Q.async()函数是实验性的。你推荐使用异步承诺的另一个库吗？
代码在GitHub上，可以在这里测试：
只需点击河流，就可以画出相应的分水岭。
编辑：这是相关的CoffeeScript代码。
L.mapbox.accessToken = 'pk.eyJ1IjoiZGF2aWRicm9jaGFydCIsImEiOiJ6eU40bEVvIn0.xnMppw5d4NoZK_11lA-lGw'
map = L.mapbox.map('map', 'examples.map-2k9d7u0c').setView([-10, -60], 5)
pix_deg = 0.0083333333333
pix_deg2 = (pix_deg + pix_deg * 1e-5) / 2
tiles = 0
x_deg = 0
y_deg = 0
x = 0
y = 0
outlet = 0
neighbors_memsize = 1024
neighbors_i = 0
neighbors = new Uint8Array(neighbors_memsize)
tile_width = 1200
url = 0
polygons = 0
polyLayers = 0
pix_i = 0
pack_size = 100
wait = (ms) ->
deferred = Q.defer()
setTimeout( ->
deferred.resolve()
, ms)
return deferred.promise
addPixel = ->
polygons[pix_i % pack_size] = turf.polygon([[
[x_deg - pix_deg2, y_deg - pix_deg2],
[x_deg - pix_deg2, y_deg + pix_deg2],
[x_deg + pix_deg2, y_deg + pix_deg2],
[x_deg + pix_deg2, y_deg - pix_deg2],
[x_deg - pix_deg2, y_deg - pix_deg2]
]])
done_packing = false
pix_i += 1
i = pix_i
level = 1
while !done_packing
if i % pack_size == 0
polygons[level * pack_size + (i / pack_size - 1) % pack_size] = turf.merge(turf.featurecollection(polygons[(level * pack_size - pack_size)..(level * pack_size - 1)]))
polygons[level * pack_size + (i / pack_size - 1) % pack_size].properties = {
"fill": "#6BC65F",
"stroke": "#6BC65F",
"stroke-width": 1
}
polyLayers[level * pack_size + (i / pack_size - 1) % pack_size - pack_size] = L.mapbox.featureLayer(polygons[level * pack_size + (i / pack_size - 1) % pack_size]).addTo(map)
#console.log 'Added polygon at ' + (level * pack_size + (i / pack_size - 1) % pack_size - pack_size) + ', level = ' + level
for k in [(level * pack_size - pack_size)..(level * pack_size - 1)]
polygons[k] = 0
if level > 1
if polyLayers[k - pack_size]?
#console.log 'Removed polygon at ' + (k - pack_size) + ', level = ' + level
map.removeLayer(polyLayers[k - pack_size])
i /= pack_size
level += 1
else
done_packing = true
getTile = (url) ->
console.log 'Downloading ' + url
deferred = Q.defer()
req = new XMLHttpRequest()
req.open 'GET', url, true
req.responseType = 'arraybuffer'
req.onload = ->
arrayBuffer = req.response
if arrayBuffer
console.log 'Done!'
deferred.resolve(new Uint8Array(arrayBuffer))
else
deferred.reject(new Error("Can't do it"))
req.send(null)
return deferred.promise
processTile = ->
done = false
skip = false
pix_i = 0
polygons = []
polyLayers = []
while !done
if !skip
addPixel()
if pix_i % pack_size == 0
yield wait(1)
skip = false
nb = neighbors[neighbors_i]
if nb == 255
nb = 0
for i in [0..7]
if i < 4
dir_back = 1 << (i + 4)
else
dir_back = 1 << (i - 4)
dir_next = go_get_dir(1 << i, false)
if dir_next == dir_back
nb = nb | (1 << i)
neighbors[neighbors_i] = nb
if nb == 0
if neighbors_i == 0
done = true
else
addPixel()
if pix_i % pack_size == 0
yield wait(1)
go_down = true
while go_down
go_get_dir(tiles[0][y * tile_width + x], true)
neighbors_i -= 1
nb = neighbors[neighbors_i]
i = find1(nb)
nb = nb & (255 - (1 << i))
if nb == 0
if neighbors_i == 0
go_down = false
done = true
else
go_down = false
skip = true
neighbors[neighbors_i] = nb
else
neighbors_i += 1
if neighbors_i == neighbors_memsize
neighbors_new = new Uint8Array(neighbors_memsize * 2)
for i in [0..(neighbors_memsize - 1)]
neighbors_new[i] = neighbors[i]
neighbors = neighbors_new
neighbors_memsize *= 2
neighbors[neighbors_i] = 255
i = find1(nb)
go_get_dir(1 << i, true)
if done
for layer in polyLayers
map.removeLayer(layer)
watershed = turf.merge(turf.featurecollection(polygons))
watershed.properties = {
"fill": "#6BC65F",
"stroke": "#6BC65F",
"stroke-width": 1
}
watershedLayer = L.mapbox.featureLayer(watershed).addTo(map)
outletLayer = L.mapbox.featureLayer(outlet).addTo(map)
outletLayer.bindPopup('<strong>Area</strong> = ' + round(turf.area(watershed) / 1e6, 1).toString() + ' km²').addTo(map)
watershedLayer.on('mouseover', (e) -> outletLayer.openPopup())
watershedLayer.on('click', (e) ->
url = 'data:text/json;charset=utf8,' + encodeURIComponent(JSON.stringify(watershed.geometry))
link = document.createElement('a')
link.href = url
link.download = 'watershed.json'
link.click()
alert('Watershed GeoJSON downloaded')
)
find1 = (a) ->
i = 0
while (a & 1) == 0
a = a >> 1
i += 1
return i
go_get_dir = (dir, go) ->
x_next = x
y_next = y
x_deg_next = x_deg
y_deg_next = y_deg
tile_i = 0
if dir == 1
x_next += 1
else if dir == 2
x_next += 1
y_next += 1
else if dir == 4
y_next += 1
else if dir == 8
x_next -= 1
y_next += 1
else if dir == 16
x_next -= 1
else if dir == 32
x_next -= 1
y_next -= 1
else if dir == 64
y_next -= 1
else if dir == 128
x_next += 1
y_next -= 1
x_deg_next += (x_next - x) * pix_deg
y_deg_next -= (y_next - y) * pix_deg
if x_next == -1 and y_next == -1
x_next = tile_width - 1
y_next = tile_width - 1
if go
tiles[1] = tiles[7]
tiles[2] = tiles[0]
tiles[3] = tiles[5]
tiles[0] = tiles[6]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[4] = 0
tiles[5] = 0
tiles[6] = 0
tiles[7] = 0
tiles[8] = 0
else
tile_i = 6
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if x_next == tile_width and y_next == -1
x_next = 0
y_next = tile_width - 1
if go
tiles[3] = tiles[1]
tiles[4] = tiles[0]
tiles[5] = tiles[7]
tiles[0] = tiles[8]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[2] = 0
tiles[1] = 0
tiles[8] = 0
tiles[7] = 0
tiles[6] = 0
else
tile_i = 8
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if x_next == tile_width and y_next == tile_width
x_next = 0
y_next = 0
if go
tiles[5] = tiles[3]
tiles[6] = tiles[0]
tiles[7] = tiles[1]
tiles[0] = tiles[2]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[4] = 0
tiles[3] = 0
tiles[2] = 0
tiles[1] = 0
tiles[8] = 0
else
tile_i = 2
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if x_next == -1 and y_next == tile_width
x_next = tile_width - 1
y_next = 0
if go
tiles[7] = tiles[5]
tiles[8] = tiles[0]
tiles[1] = tiles[3]
tiles[0] = tiles[4]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[6] = 0
tiles[5] = 0
tiles[4] = 0
tiles[3] = 0
tiles[2] = 0
else
tile_i = 4
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if y_next == -1
y_next = tile_width - 1
if go
tiles[4] = tiles[5]
tiles[3] = tiles[0]
tiles[2] = tiles[1]
tiles[5] = tiles[6]
tiles[0] = tiles[7]
tiles[1] = tiles[8]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[6] = 0
tiles[7] = 0
tiles[8] = 0
else
tile_i = 7
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if x_next == tile_width
x_next = 0
if go
tiles[6] = tiles[7]
tiles[5] = tiles[0]
tiles[4] = tiles[3]
tiles[7] = tiles[8]
tiles[0] = tiles[1]
tiles[3] = tiles[2]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[8] = 0
tiles[1] = 0
tiles[2] = 0
else
tile_i = 1
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if y_next == tile_width
y_next = 0
if go
tiles[6] = tiles[5]
tiles[7] = tiles[0]
tiles[8] = tiles[1]
tiles[5] = tiles[4]
tiles[0] = tiles[3]
tiles[1] = tiles[2]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[4] = 0
tiles[3] = 0
tiles[2] = 0
else
tile_i = 3
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
else if x_next == -1
x_next = tile_width - 1
if go
tiles[8] = tiles[7]
tiles[1] = tiles[0]
tiles[2] = tiles[3]
tiles[7] = tiles[6]
tiles[0] = tiles[5]
tiles[3] = tiles[4]
if tiles[0] == 0
tiles[0] = yield getTile(get_url(y_deg_next, x_deg_next, false))
tiles[6] = 0
tiles[5] = 0
tiles[4] = 0
else
tile_i = 5
if tiles[tile_i] == 0
tiles[tile_i] = yield getTile(get_url(y_deg_next, x_deg_next, false))
if go
x = x_next
y = y_next
x_deg = x_deg_next
y_deg = y_deg_next
return tiles[tile_i][y_next * tile_width + x_next]
map_on_click = (evt) ->
url = get_url(evt.latlng.lat, evt.latlng.lng, true)
outlet = turf.point([x_deg, y_deg])
neighbors_i = 0
neighbors[0] = 255
tiles = [0, 0, 0, 0, 0, 0, 0, 0, 0]
Q.spawn(run)
run = ->
tiles[0] = yield getTile(url)
Q.async(processTile)()
map.on('click', map_on_click)
round = (number, precision) ->
mult = Math.pow(10, precision)
return Math.round(number * mult) / mult
get_url = (lat, lon, set_xy) ->
lat = round(lat, 5)
lon = round(lon, 5)
ret = {}
lat0 = 90
lon0 = -180
lat_str
lon_str
tile_name
tile_code = { '40N_80W': 'njt5o2dpcx9lzig', '20N_30E': 'ls8f3pyhl7f3ysq', '70N_160E': 'rcdlrof5vnpq4u8', '40S_110E': 'pli2vv4tu7zg0vc', '10S_60W': 'vz169b4rb0dpokv', '10N_180E': '7cm7k4ns9efdyyj', '0N_0E': 'q3c4m9jlfpxqc63', '50N_70E': 'd9ihizwythu4mki', '50N_130W': '9l3gynlr804gw6k', '10S_60E': 'mxd445xbzoq68wz', '70N_60W': 'w4ksxwb2sxo92ia', '70N_90W': '643krk0ahqegh29', '60N_0E': 'ig9np311apxwywu', '40N_170E': 'a9f68i00sddb21h', '60N_90E': '7ppd0auquja7cha', '40N_60W': '6cqvbwcf4hjwbuq', '20S_100W': 'v0yeu59q4eopq2t', '0N_60W': '8h7bnwjhk36m4xq', '10N_140E': 'xo6kdts6wijvftn', '50N_100E': 'qr043ar5gaflp25', '40N_70W': 'fv02n108a3t471m', '60N_180E': 'wm7ai83hmlw0gbh', '50N_30E': '74bsr18q8aj5gzz', '10S_30E': 'bp2gai5uwkcolw2', '0N_50E': 'hqo12wfpq7q0ybe', '20N_150E': 'xpbqct99r7x1uxg', '10N_40E': 'kyko320y1xmzid6', '70N_50E': 'fjvhcu58630jg5t', '70N_100W': 'zm5uo7bo8so4ml4', '0N_80W': '4hrms9iaijj9quu', '50S_130E': 'x3lvela6fbjw32n', '30S_120E': 'pdmy538eze0j8ii', '20S_30E': 'us5v7ggmkb4j9jz', '10N_130E': 'rmm098zv13hjbcz', '20N_130E': '2ahcbqp11ymyyl5', '50N_110W': 'rqqtu2kfjbsg634', '30N_130W': 's2f49ctthghvnqa', '50N_40E': 'o4vx09kuzncbkm1', '40N_130E': 'cztyw8et0ofxzi8', '40N_180E': 'svm09gq9yz85yrm', '0N_170E': 'fw6prlx0d08x5o0', '10N_110E': '6jbc195o85tgx4l', '70N_70E': '469mlarc381lsom', '60N_80E': 'fxihjscygbq7m5v', '20S_20E': '1shz7rjreu3rmga', '20S_120E': 'vhturkmybky6or6', '10N_100W': 'a8e5grbrelki50k', '50N_0E': 'c95qdkj3t3ikt3u', '20N_20W': 'nuvxx950y7ko46f', '50N_100W': 'gjrtaneav8mc5he', '60N_130W': 'spwzdn8gm4406wo', '70N_180E': '8y8ldhxz48b50h0', '10S_100W': 'mdig6tpluqggw5r', '40N_30E': 'flmc5oftqvlcfvh', '20N_50W': '32j7an9zu6ppxob', '30N_120W': 'yz3r44lstmrbq4n', '20S_170E': 'raw3sdolobx5m6b', '30N_120E': 'webmh73x6nzykbq', '40S_50W': '9kcrobjb81urhf7', '30N_40E': 'aqswmk85xawse1x', '70N_150E': 'acy3j9jkybnnhfn', '20S_40E': 'dk9y0vb70stdbgo', '10S_90E': 'fzggjjsa4riaoxv', '20N_70E': '8o7uspbksjjjfte', '10N_60W': '1iu2g7qws543s77', '50N_180E': '86768dlqamgdhnp', '70N_40E': 'ebvr0x8xonc8tu9', '40N_90E': 'kgu11ddovji6qg0', '30N_60W': 'cjlju7rif77tm9p', '50S_140E': '0p7qhfjoezohmvg', '0N_150E': '59xy13gw2aftsoy', '20N_160E': 'r1tendiqpssbrgj', '30N_140E': 'gfdh6brfbu6ozr3', '60N_110W': '27glhbgxcvjdsj3', '40N_40E': '38x1dzu1hgmuo10', '70N_110E': 'ilfcu0jimcuu22y', '30S_100W': 'he5a0jhj7b3u37m', '50S_40W': 'ul76r0hqufkkito', '20N_100E': 'zv0ftnkg6978d1n', '0N_10E': 'e6zwm2ve6170rnc', '40S_70W': 'lt520yjkzvobjs0', '50N_130E': 'prr63cqsy2sq6l5', '50S_170E': 'j66g3gmsr97hz7w', '40N_100W': 'seu1iym7l3yawvr', '60N_10E': 'conbfw17m90cr65', '30N_70E': 'dgl15onm7366j9y', '40N_110W': 'x9d0c0nusvsnvkf', '0N_40W': '7d62jroploskrdz', '10N_30E': 'ufiiimxmi9q5rsq', '40N_10E': 'evdq82t5hnvlgup', '30N_150E': 'ju0vhdvs9q32mcf', '30N_80W': 'azwymrifj8020k5', '60N_30E': '3fo08jcqwvd2hri', '10N_20E': 'xue5zm4fbmzmo5l', '30N_100W': '7d4uan2bp2fyo5t', '20S_50W': 'lj5qpdmycd18i9s', '50N_80W': 'd01j1rqigwd6r4n', '30N_160E': '5huu7ehl9qvm434', '10S_50E': 'mp0r86di46cad30', '50N_90W': '62cjaxm4pwon3ta', '30S_70W': 'vcjchqdowlocrte', '70N_120E': 'z9vss9nffu130ya', '30N_130E': 'f1jumdi52vcg5hx', '20S_20W': 'ach4qdtxa6cvfoe', '60N_100W': 'iwcq9ogntx9h9zr', '0N_160E': 'cpmu98nntsai0fu', '50N_10W': 'jhfliz911qffjch', '60N_70E': 'rewb9fzmlpem67g', '20S_80W': '6yqay3jos6sthn9', '50S_50W': 'tt563tgfn2iccrm', '10S_10E': '10b693pj08lhph4', '0N_130E': 'n0yo92yfvocy2ys', '10N_50W': 'ni2bepgw20kfivr', '10N_120E': 'm4dqmeh8mkq8f09', '40N_160E': '3dfcmd7p8xvjyk5', '70N_10E': '3yfx21j7nggc6vg', '70N_30E': '4m9zcz4eueif5if', '30S_50E': 'ei77gp02xpl6234', '70N_80W': 'xsxbixdmjhuxbom', '40S_170E': '5tyi2av2p794x1k', '10N_0E': 'ut7jw1vksl7ospe', '50N_90E': '2tbtweuwsgououn', '70N_130E': 'pxqkn9t5b1lv16o', '50S_100W': 'jcch94px3a3lrkv', '30N_170E': 'x51q62qkeogycvj', '30S_110E': 'ref43ht78h1mxkl', '60N_100E': '91v4qmizu1t5chm', '70N_20W': 'cqysdk36jpky7sl', '10S_140E': 'sc1qd7xfskk1190', '50S_180E': '2r7oq34nuyrbrmz', '50N_20W': '0a3mfbgr4b3fwkf', '50S_60W': 'a3fakfcx18xebqw', '20N_100W': 'atj10syx395lock', '20N_40W': 'v78c8iig9u05c2c', '30S_40E': '9hjqr2yikdpp8pt', '10S_130E': 'uudwt6x8dp9w38o', '40N_150E': 'icd2nb7b7o6orbg', '50N_10E': 'r6uogmh1fpsg5gu', '20N_50E': 'znznm95m5u60fk3', '10S_160E': 'ibj3o24opajv5gl', '70N_10W': '57kfww0wfmvlr9c', '40N_10W': '93pww6nj0vdmkwh', '20N_110E': 'y2ltu7r6nulfn6z', '10N_20W': 'baivyy025t4gca6', '10N_80W': 'gksccwsgv0br8kv', '50S_80W': 'esgszubtsdhwc0d', '70N_0E': 'jmq6q20u1zzqe78', '10N_90W': 'ms46fc02ddfggaa', '40N_0E': 'brm28xvjp7txu6a', '40N_20W': 'j6aclal8hjj43sq', '20N_90E': '7kj50ke3t9dg2k1', '10N_70W': '1ehlf63ztq9ascf', '30S_10W': 'l76jxgrjc9chfq8', '30N_30E': 'c426bked8bs1p2x', '70N_140E': '0arx8x4o20tuc3j', '30N_110W': 'r50rg4dyyzlq2rp', '20N_80E': 'chyvj6484m3yyzw', '70N_170E': 'brlsfizhofanf9h', '50N_160E': '1bndf15xeaz75db', '60N_120E': 'qxun7audymzvs2j', '10S_120E': '4k9oiq72iojd7tw', '50N_120E': '1nvf48c3i5ntgfp', '50S_160E': 'kzzv6vaupevo667', '30N_20E': 'g59ucu9csoroh6d', '50S_110E': '5sc9507h87n9rk2', '20S_140E': '81plt39owmcx29t', '20S_40W': 'upmd0pogjc6vmwb', '10N_80E': 'qnumh0vszwhwg3e', '60N_120W': 'ekuqu87q69r1k24', '70N_110W': '6gaa13v5gnb7p3k', '50N_150E': 'm0voo0ef0t6ik5u', '10N_110W': 'pysk4tlowiynzkq', '10S_70W': 'b1buj0ma7xzkz9g', '40N_140W': 'q6hg1x2eapx4nzp', '0N_180E': 'xeq06zwex8tgz1g', '20S_50E': 'ry284o47frvh75s', '70N_80E': 'am8y1bepl6cimzq', '20S_10W': 'swy8xxdhqwkwzrf', '40N_80E': 'sq99xh0kj2e4iiu', '40S_130E': 'pniyneh9o29glhk', '50N_170E': 'osp3iio527u8a9m', '10N_40W': 'dhuv56y24w8k5nj', '30N_60E': 'vrdv94uy3p01gu9', '60N_50E': 'w6dokrajdg4vlx0', '60N_20W': 'pnlvqfblgfaaz4k', '60N_140W': 'igfgzntr4930h6s', '40N_50E': '30w4q6cpa4njbwb', '20S_160E': 'xmcripl7n2gygx8', '30N_70W': 'zq3bwir60cxbl2y', '10S_50W': 'ednjxma5fiup6l0', '30S_10E': '8wnoefc87uiiz8f', '20N_60E': 'wnf5qjng14lm3z6', '60N_110E': 'ecqbskcnw1qvx4d', '60N_70W': 'hwlnvkr1qrpnzc3', '40N_120W': 'z4797cg79jm46sd', '20S_70W': 'ewdv0bntx3xq090', '20S_150E': 'mhha19x5mf5seb2', '20N_80W': '41186p3wtvnp92a', '0N_50W': '9888rp2gt8ul4fl', '70N_100E': 'ukrwe7fx8ej6rkh', '10S_70E': 'zjslhzj7t3k05fr', '30S_140E': '71cke0qt9qj6qpo', '0N_10W': 'mqwhdvq5fpm5dvq', '60N_150E': 'hz1fv9czziyt4ft', '50S_70W': 'm2kycfffxxfuy3n', '30S_60W': 'mukv3pxvbwuxmv0', '20N_180E': 'vluofrfqlq1tq7d', '30S_80W': 'cywvswzxjdu0rke', '20S_60W': '9j6n6fn7z21nr1x', '20N_120W': 'nkvf20ojt3uxfek', '0N_100E': 'vsurwf60amex45l', '20N_70W': '17bv1gg3a9o27j1', '50N_50E': 'o1cndow58eg4iht', '10S_40E': 'p6n7ppnucthj3ri', '50S_90W': 'd76j559itl1d94f', '40N_140E': 'p78aivsuyysht3s', '0N_110E': 'd208ls5h0kaagjr', '10S_180E': 'ovzi3yf799mdb7l', '20N_0E': 'l70nfmxvozjd7k7', '40N_130W': '9v5iq543yn2ns9n', '0N_20E': 'g5riug5jsfevtcv', '0N_20W': '1thdgulzf3ziwrt', '40S_90W': 'tiyymuz1v8z4z31', '40S_150E': 'j3op3bvu8m1okp5', '20S_110E': 'xj5a0fv2r6auchr', '20N_20E': '1p7asnpmqw9rq4u', '10S_20W': 'vv5xszaadhckg6d', '0N_70W': 'c3as6denh34ke5g', '30S_90W': 'lus6tbpitf8j9po', '20N_170E': '1ugbxtppm7x13vl', '60N_170E': 'a98i7rcqx5fvlbk', '30N_140W': 'klbrzjdsqub1wku', '30S_40W': 'lqcr3kc5v800l8c', '0N_90W': '0r0zd2dpg8kt3ds', '50S_150E': '49ilumtcabfq22g', '30S_0E': 'ervrbl0m3tvnpu3', '0N_40E': 'z6u00g9m0rdpesh', '30N_90E': '3rrz6jwiueeg0be', '70N_60E': 'mipyttald7cgs6d', '40N_110E': 'vbff46frv6pgkmu', '10N_70E': 'bfyxhbb0mejotb6', '30N_110E': 'mduywyb0ut5whmp', '10N_90E': '5e2weozv466qvq9', '20N_10W': 'nj0uz42z5rog76o', '50S_120E': 'iu81a15u7gp3nq4', '20S_130E': 'fs9s3xadluqlv5g', '30N_80E': 'fwswppy42c91zy6', '40S_180E': 'v6vj008uec9ja7t', '60N_160E': '5zpvo2b7vktti7a', '40S_100W': '7zg5lxozkgomo5p', '0N_60E': 'vqyqo67uszxkezj', '30S_20W': 'fud1p0ywbpmt03t', '10S_170E': 'nw5y90t4ntqtahj', '30N_90W': '9u9w2ov3cuw8ue2', '20N_140E': 'wbhp6xp57lbqu5b', '60N_130E': 'tfkokya89ywzrjf', '70N_130W': 'sk24ldyi0gez2y4', '40S_140E': '6t0ndzci1yvvzos', '40N_20E': '46y8e2drvpc0558', '20S_0E': 'km8fieuehf0ievc', '60N_60W': 'a607whft4tau57h', '10N_170E': 'v3yvprk884a4r40', '30S_130E': '7y6wgnf7ndwyyll', '30N_180E': 'hndze8kj0psdo9r', '0N_70E': '0aet2epmdtvnj3i', '30S_30E': 'x2rahasj2aewd46', '50N_60E': 'a3dsjcsd0fuog8n', '20N_60W': 'o9ufvfwny6q42do', '10N_10W': '6k8ral35jl00z8g', '40N_120E': '7jq4kyvdn87x4i5', '70N_20E': 'aueplubete1o2xd', '30N_100E': 'lfz50uivpdqb166', '40N_90W': 'vju0gkkfoa773o0', '10S_80W': '0ruc1riqnl3rzza', '10N_60E': 'n5ee7k9mfto1104', '0N_120E': 'sswv3cdzvyst3e9', '70N_140W': '4quswlwtvxn456c', '10S_80E': 'jo5p4do02ubwhbm', '0N_90E': 'iq7i2v764t4ha22', '0N_140E': 'jg6r27k9l4u32d6', '60N_40E': '907q33vq6a5o0fk', '10N_150E': 'ka1m1y1dha1z75c', '60N_140E': '0gid8dmrylip35b', '30N_0E': 'r7fe9ugsky80kz8', '50N_20E': '3ey731tlb7duy0m', '30S_50W': '1dlgwyangl2jnoe', '50N_140E': '528kneauqf3d1ip', '30S_180E': '1phrgmq8kstmabk', '30N_10W': '2rgou9qbqg3k3m9', '10S_0E': 'iyp67d9ksbx90x2', '0N_80E': 'sikidycmwntrrhl', '30S_150E': '2v7kjt4wgbu6uc4', '20N_10E': 'ipewhaim6kmcla1', '0N_100W': 'sh8m2mmxm0iznka', '60N_20E': '7ax1ly9l8s1brzn', '60N_10W': 'i81h1aerrhvppqo', '10S_10W': 'rf5bmnkwv4395tl', '50N_80E': 'axibpl1v3u6643c', '10N_160E': '6t399mcnovfvhhg', '10N_100E': 'vzznnr63l8ku0bs', '20N_110W': 'aq4jnu47230b7hy', '50N_120W': '3mqc9wub3lvt9um', '30N_50E': 'vaf57pswj0aqfsy', '40N_100E': 'h2h4mpg5oi2e54l', '30S_170E': 'xkx6036h76ecjx6', '10S_20E': 'vc7sn3ig5jheb5k', '40S_80W': 'vqwe0k1u9k1qm73', '60N_90W': '48j6ie4tr6jec12', '60N_80W': 'krvh5e1nw4s9i5x', '70N_70W': 'evb65pwb599es77', '50N_110E': 'hckwm8kss4s09yz', '10S_150E': 'xk2vrdpvffsw70f', '10S_100E': '69qzfyqj37bdzqo', '0N_30E': '8yn50z10zvxuxd8', '70N_90E': 'u5om8ivcg5g663u', '20S_180E': 'vln4eo9vjz0xpie', '10S_90W': 'rdwm5zsqb80xz2o', '50N_60W': '4iu67oqfj6112z7', '10S_40W': '7hcb9keu1g2zij2', '40S_60W': 'qgef1cr6lx7dnmd', '20N_40E': '45pfkm2wq0xbzdt', '20N_120E': 're9vszajn3g2kun', '40S_40W': '1e40jbe1kpadu4a', '70N_120W': 'kat0kityhil0udo', '40N_60E': 'tfhm8s5v8at0np7', '10S_110E': '23u98dlaf4ijfyx', '10N_50E': '4k0vr9qphd7zxg8', '30N_10E': '70ksdpgfdyw0xx1', '10N_10E': 'naw02lg2pnkc3on', '40N_70E': 'ovmgwi1ihsskf8w', '20N_90W': 'c6df5dqbun2fks6', '30S_160E': '4bkneeoybdekmhj', '10N_120W': 'd85cl3w5esblmdv', '40S_160E': 'eiznsrt6teww45l', '50N_70W': '2kkzkjo7wghnh0y', '20S_10E': '0higj0z4ufomc7i', '40S_120E': 'maodj881wx8mr11', '60N_60E': 'q9nk7xu6exy9olg', '30S_20E': '8g3og3gnzf8wtcb', '30N_20W': 'st34jv53y9uibap', '20S_90W': '7ca1iymo44vtapg', '50N_140W': 'a8x97yts3pns2zd' }
lon0 += 10 while lon >= lon0 + 10
lat0 -= 10 while lat <= lat0 - 10
if lat0 < 0
lat_str = (-lat0).toString() + 'S'
else
lat_str = lat0.toString() + 'N'
if lon0 < 0
lon_str = (-lon0).toString() + 'W'
else
lon_str = lon0.toString() + 'E'
tile_name = lat_str + '_' + lon_str
url = 'https://dl.dropboxusercontent.com/s/' + tile_code[tile_name] + '/tile_' + tile_name + '.bin?dl=1'
if set_xy
x = Math.round((lon - lon0) / pix_deg)
y = Math.round((lat0 - lat) / pix_deg)
x_deg = lon0 + x * pix_deg
y_deg = lat0 - y * pix_deg
return url
答案 0 :(得分：0)
答案 1 :(得分：-2)
在ECMAScript 2015（ES6）中实施了承诺。有关详细信息，请参阅此处：https://developer.mozilla.org/cs/docs/Web/JavaScript/Reference/Global_Objects/Promise