Using pkg-config gyp - gtk

I'm trying to include gtk in my gyp project. I can compile by hand, but with gyp I always get the error that #include <gtk/gtk.h> cannot be found. I've seen other gyp projects like chromium include it like this but have been unsuccessful in duplicating.
Thanks for taking a look!
{
'variables': {
'pkg-config': 'pkg-config'
},
'targets': [
{
'target_name': 'application',
'type': 'executable',
'sources': [
'src/main_linux.cc',
],
},
],
'conditions': [
['OS=="linux"', {
'direct_dependent_settings': {
'cflags': [
'<!#(<(pkg-config) --cflags gtk+-2.0)',
],
},
'link_settings': {
'ldflags': [
'<!#(<(pkg-config) --libs-only-other gtk+-2.0)',
],
'libraries': [
'<!#(<(pkg-config) --libs-only-l gtk+-2.0)',
],
},
}],
],
}


Here is the working file I'm now using:
{
'variables': {
'pkg-config': 'pkg-config'
},
'conditions': [
['OS=="linux"', {
'targets': [
{
'target_name': 'trackbox',
'type': 'executable',
'sources': [
'src/main_linux.cc',
],
'cflags': [
'<!#(<(pkg-config) --cflags gtk+-2.0)',
],
'ldflags': [
'<!#(<(pkg-config) --libs-only-L --libs-only-other gtk+-2.0)',
],
'libraries': [
'<!#(<(pkg-config) --libs-only-l gtk+-2.0)',
],
},
],
}]
],
}

Related

Creating an OpenLayers 5 MultiPolygon feature from a turf.js MultiPolygon

In OpenLayers 5.3.0, I've created a MultiPolygon using the 'difference' tool in turf.js. The turf.js MultiPolygon looks fine when I examine the JSON, but when I try to use that to create a feature in OpenLayers, I get "Uncaught TypeError: t.addEventListener is not a function".
I've tried many combinations of JSON.stringify, JSON.parse, GeoJSON.readFeatures, .getCoordinates()... I tried adding the turf.js MultiPolygon as a feature directly via source.addFeature(multiPolygonGeometry), but then I get 'Uncaught TypeError: e.getId is not a function'. I also tried source.addFeatures(multiPolygonGeometry) (note the plural 'addFeatures'), and that didn't give me any errors, but also didn't appear to add anything to the source.
Relevant lines in my code are as follows:
multiPolygonGeometry = turf.difference(largeArea,maskAreas);
multiPolygonFeature = new ol.Feature({
geometry: multiPolygonGeometry,
id: 'multiPolygonFeature1'
});
multiPolygonGeometry looks like this in the console:
{
"type": "Feature",
"properties": {},
"geometry": {
"type": "MultiPolygon",
"coordinates": [
[
[
[
140.9716711384525,
-36.97645228850101
],
[
140.97418321565786,
-36.97679331852701
],
[
140.9741163253784,
-36.97713531664132
],
[
140.9740304946899,
-36.97903805606076
],
[
140.97437381744382,
-36.98025509866784
],
[
140.97594864874696,
-36.98127512642501
],
[
140.9714880598484,
-36.9804459718428
],
[
140.9714500775476,
-36.97642733756345
],
[
140.9716711384525,
-36.97645228850101
]
]
],
[
[
[
140.97455248763328,
-36.97684309230892
],
[
140.97751071844857,
-36.97723786980259
],
[
140.97749308140382,
-36.977304276099005
],
[
140.97715289421623,
-36.97770848336402
],
[
140.97661807025068,
-36.97969050789806
],
[
140.97628355026242,
-36.97958658471583
],
[
140.97634792327878,
-36.97900377288852
],
[
140.9764981269836,
-36.97866094031662
],
[
140.97510337829587,
-36.97727245260485
],
[
140.97455248763328,
-36.97684309230892
]
]
],
[
[
[
140.97628420893903,
-36.98092777726751
],
[
140.97617893060388,
-36.98131793226549
],
[
140.97596635572492,
-36.98127841787872
],
[
140.97628420893903,
-36.98092777726751
]
]
]
]
},
"ol_lm": {
"change": []
}
}
And then I get this message:
events.js:174 Uncaught TypeError: t.addEventListener is not a function
at v (events.js:174)
at e.handleGeometryChanged_ (Feature.js:210)
at e (events.js:41)
at e.dispatchEvent (Target.js:101)
at e.notify (Object.js:151)
at e.set (Object.js:170)
at e.setProperties (Object.js:186)
at new e (Feature.js:108)
at getPolygon (maskedPolygon.js:319) <-- this is the second line in my code sample above
at <anonymous>:1:1
What am I doing wrong here? I'm sure it's something simple but I just can't seem to crack this.

Turf works with GeoJSON features so your "multiPolygonGeometry" is a GeoJSON feature which can be parsed by OpenLayers then given an Id:
multiPolygonFeature = new ol.format.GeoJSON().readFeature(multiPolygonGeometry);
multiPolygonFeature.setId('multiPolygonFeature1');

Highcharts two datetime xAxis chart with same ticks interval

I two days think about problem, but i don't know make chart with two normalized datetime xAxis.
I Tried use linkedTo and normalize data arrays (but this hard overkill).
linkedTo showing only overlapped data.
Without linkedTo and normalization arrays, ticks showed as async like this
Help me, please
What make chart like this?
$('#container').highcharts({
yAxis: {
gridLineWidth:0
},
xAxis: [
{
gridLineWidth: 1,
type: 'datetime',
lineColor: '#ff9c00'
},
{
type: 'datetime',
opposite: true,
lineColor: '#FF6B6B'
}
],
series: [
{
"name": "first",
"data": [
[
1479164400000,
7323
],
[
1479160800000,
6204
],
[
1479157200000,
3561
],
[
1479153600000,
9706
],
[
1479150000000,
2539
],
[
1479146400000,
4570
],
[
1479142800000,
4187
],
[
1479139200000,
3631
],
[
1479135600000,
7512
],
[
1479132000000,
2456
],
[
1479128400000,
6983
],
[
1479124800000,
3511
],
[
1479121200000,
2765
],
[
1479117600000,
3401
],
[
1479114000000,
2565
],
[
1479110400000,
4425
],
[
1479106800000,
4592
],
[
1479103200000,
4328
],
[
1479099600000,
2694
],
[
1479096000000,
2787
],
[
1479092400000,
11633
],
[
1479088800000,
3311
],
[
1479085200000,
2839
],
[
1479081600000,
12620
]
]
},
{
"name": "second",
"data": [
[
1479250800000,
22730
],
[
1479247200000,
10695
],
[
1479243600000,
12017
],
[
1479240000000,
12110
],
[
1479236400000,
9689
],
[
1479232800000,
4288
],
[
1479229200000,
3702
],
[
1479225600000,
5575
],
[
1479222000000,
5694
],
[
1479218400000,
3098
],
[
1479214800000,
9885
],
[
1479211200000,
6587
],
[
1479207600000,
3028
],
[
1479204000000,
3281
],
[
1479200400000,
12577
],
[
1479196800000,
3886
],
[
1479193200000,
4014
],
[
1479189600000,
6553
],
[
1479186000000,
2041
],
[
1479182400000,
4056
],
[
1479178800000,
4223
],
[
1479175200000,
4920
],
[
1479171600000,
5432
],
[
1479168000000,
7857
],
[
1479164400000,
7323
],
[
1479160800000,
6204
],
[
1479157200000,
3561
],
[
1479153600000,
9706
],
[
1479150000000,
2539
],
[
1479146400000,
4570
],
[
1479142800000,
4187
],
[
1479139200000,
3631
],
[
1479135600000,
7512
],
[
1479132000000,
2456
],
[
1479128400000,
6983
],
[
1479124800000,
3511
],
[
1479121200000,
2765
],
[
1479117600000,
3401
],
[
1479114000000,
2565
],
[
1479110400000,
4425
],
[
1479106800000,
4592
],
[
1479103200000,
4328
],
[
1479099600000,
2694
],
[
1479096000000,
2787
],
[
1479092400000,
11633
],
[
1479088800000,
3311
],
[
1479085200000,
2839
],
[
1479081600000,
12620
]
],
"xAxis": 1,
"dashStyle": "shortdot"
}
]
});
#container {
min-width: 1024px;
max-width: 1024px;
height: 300px;
margin: 1em auto;
}
<script src="https://ajax.googleapis.com/ajax/libs/jquery/2.1.1/jquery.min.js"></script>
<script src="http://code.highcharts.com/highcharts.js"></script>
<script src="http://code.highcharts.com/modules/exporting.js"></script>
<div id="container"></div>

My solution is as follows:
Grab the bottom axis ticks values
Map the values to pixels
Map the pixels to top axis values
Set the values to top axis ticks
All the calculation can be done in tickPositioner.
tickPositioner: function() {
var axisTop = this,
axisBottom = this.chart.xAxis[0],
ticksBottom = axisBottom.tickPositions;
var ticksTop = ticksBottom.map(function(tickValue) {
return axisTop.toValue(axisBottom.toPixels(tickValue));
});
return ticksTop;
},
example: https://jsfiddle.net/439adgpa/
After setting tick positions in tick positioner, you have to manually set the correct format or use it from the bottom axis ticks.
labels: {
format: '{value:%H:%M}'
}
or
ticksTop.info = ticksBottom.info;
example: https://jsfiddle.net/439adgpa/1/

Use stacked series over each other. yAxis stacked and numbered as 0,1,2.
Here is an example fiddle
{
name : 'First',
data :data for first,
zIndex : 1,
lineWidth:3,
color:'red',
yAxis: 0 ,
marker : {
enabled : false
}
}, {
name : 'second',
data : data for second,
lineWidth:3,
zIndex : 1,
yAxis: 1 ,
color:'#BE6230',
marker : {
enabled : false
}
}

Is there a better way to write this Postgres JSONB query?

Below is a sample JSONB array. I'm trying to figure out how to write a query that doesn't require a cross product like this.
select b.id from brand b,jsonb_array_elements (b.tree) a where a#>>'{Name}' = 'Skiing';
Bonus points for helping me translate this to SQL Alchemy
[
{
"Name": "Snowboarding",
"Order": 1,
"Categories": {
"Jackets": [
22002,
23224
],
"Helmets": [
24920
],
"Freestyle Boards": [
20164
],
"Goggles": [
23169,
23280
],
"Hats": [
22966,
21727
],
"Bindings": [
19265
],
"Gloves": [
20461
],
"Boots": [
26374,
19079,
21765,
22669
],
"Freeride Boards": [
18395,
25505
],
"Pants": [
24143,
20957
]
}
},
{
"Name": "Skiing",
"Order": 2,
"Categories": {
"Jackets": [
22518,
25791,
19972
],
"Pants": [
17516,
23113
],
"Goggles": [
25066,
20996
],
"Helmets": [
24378
],
"Hats": [
20009,
21245
],
"Cross-country Skiing": [
17464
],
"Gloves": [
25822
],
"Boots": [
16616
],
"Poles": [
19280
]
}
},....]

SQL solution first:
SELECT brand.id
FROM brand
WHERE brand.tree #> '[{"Name": "Skiing"}]'::jsonb;
As for sqlalchemy version, you can simply use contains in order to generate SQL statement above:
q = (session.query(Brand.id)
.filter(Brand.tree.contains([{"Name": "Skiing"}]))
)

NuGet - RID and TFM Examples

I've been reviewing the code for NuGet3 on GitHub, and I see several folder patterns in https://github.com/NuGet/NuGet3/blob/a5bc907d36ddaa8d4fa6c499e50d7ebf8993ed39/src/NuGet.Client/ManagedCodeConventions.cs related to expected folder structures within a NuGet package. However, I'm having a hard time finding any examples of these - specifically the rid and tfm values.
How can I know all the possible values for rid and tfm? I know they mean Runtime Identifier and Target Framework Moniker, but I don't really know what to do with that.
The documentation that I've seen never seems to deal with the topic directly or exhaustively.

The target frameworks are currently hard coded within the NuGet source code. Whilst some of the target frameworks are documented on the NuGet website there are many which are not documented there. So as Jeff R already mentioned the best way to find the target frameworks is currently to look at the NuGet source code.
NuGet version 2 target frameworks.
NuGet version 3 target frameworks
NuGet also has short identifiers for some of these frameworks (e.g. wp = WindowsPhone).
The runtime identifiers defined by Microsoft are available in the Microsoft.NETCore.Platforms NuGet package. Inside this NuGet package is a runtime.json file with the runtime identifiers:
{
"runtimes": {
"base": {
},
"any": {
"#import": [ "base" ]
},
"win": {
"#import": [ "any" ]
},
"win-x86": {
"#import": [ "win" ]
},
"win-x64": {
"#import": [ "win" ]
},
"win7": {
"#import": [ "win" ]
},
"win7-x86": {
"#import": [ "win7", "win-x86" ]
},
"win7-x64": {
"#import": [ "win7", "win-x64" ]
},
"win8": {
"#import": [ "win7" ]
},
"win8-x86": {
"#import": [ "win8", "win7-x86" ]
},
"win8-x64": {
"#import": [ "win8", "win7-x64" ]
},
"win8-arm": {
"#import": [ "win8" ]
},
"win81": {
"#import": [ "win8" ]
},
"win81-x86": {
"#import": [ "win81", "win8-x86" ]
},
"win81-x64": {
"#import": [ "win81", "win8-x64" ]
},
"win81-arm": {
"#import": [ "win81", "win8-arm" ]
},
"win10": {
"#import": [ "win81" ]
},
"win10-x86": {
"#import": [ "win10", "win81-x86" ]
},
"win10-x64": {
"#import": [ "win10", "win81-x64" ]
},
"win10-arm": {
"#import": [ "win10", "win81-arm" ]
},
"aot": {
"#import": [ "any" ]
},
"win-aot": {
"#import": [ "win", "aot" ]
},
"win-x86-aot": {
"#import": [ "win-aot", "win-x86" ]
},
"win-x64-aot": {
"#import": [ "win-aot", "win-x64" ]
},
"win7-aot": {
"#import": [ "win-aot", "win7" ]
},
"win7-x86-aot": {
"#import": [ "win7-aot", "win7-x86" ]
},
"win7-x64-aot": {
"#import": [ "win7-aot", "win7-x64" ]
},
"win8-aot": {
"#import": [ "win8", "win7-aot" ]
},
"win8-x86-aot": {
"#import": [ "win8-aot", "win8-x86", "win7-x86-aot" ]
},
"win8-x64-aot": {
"#import": [ "win8-aot", "win8-x64", "win7-x64-aot" ]
},
"win8-arm-aot": {
"#import": [ "win8-aot", "win8-arm" ]
},
"win81-aot": {
"#import": [ "win81", "win8-aot" ]
},
"win81-x86-aot": {
"#import": [ "win81-aot", "win81-x86", "win8-x86-aot" ]
},
"win81-x64-aot": {
"#import": [ "win81-aot", "win81-x64", "win8-x64-aot" ]
},
"win81-arm-aot": {
"#import": [ "win81-aot", "win81-arm", "win8-arm-aot" ]
},
"win10-aot": {
"#import": [ "win10", "win81-aot" ]
},
"win10-x86-aot": {
"#import": [ "win10-aot", "win10-x86", "win81-x86-aot" ]
},
"win10-x64-aot": {
"#import": [ "win10-aot", "win10-x64", "win81-x64-aot" ]
},
"win10-arm-aot": {
"#import": [ "win10-aot", "win10-arm", "win81-arm-aot" ]
}
}
}

I took some time to review the docs and look at the code. Most of this answer comes from the code.
TargetFrameworkMoniker / tfm is constructed by using one of the constants from FrameworkIdentifiers in FrameworkConstants.cs . It is a framework identifier, plus a version concatenated on the end. Some examples include:
net451 (.NET 4.5.1)
dotnet (sort of a "current" tag for the latest .NET / portable class library)
uap10.0 (Universal Windows Application, for version 10, the latest as of this post)
native (for C/C++ code packaged using NuGet. Also take a look at CoApp if you intend to use this one)
MonoTouch
MonoAndroid
Xamarin.iOS
Plus others you can find in the code linked above.
For runtime identifiers, they are composed of an operating system identifier of some sort, plus an architecture. So, in JsonRuntimeFormatTests.cs you can find a few examples.
These include:
win8-x86
win10-x64
win10-arm
etc
This information has helped me structure a NuGet package that uses the runtimes folder, as I was struggling to know what the possible values were. I hope it helps someone else.

MongoDB version 2.6 still fails on 2dsphere geoindexing citing inability to extract geokeys and possible malformed geometry

I had been getting the referenced error under version 2.4 with a different lon/lat data set. I upgraded to 2.6 and was able to use 2dsphere index on that data set. However, with a different data set (excerpt below) I received the old error message on trying to index using 2dshpere. the error message excerpt is as follows:
I am having the same problem receiving the error: can't extract geokeys from object; malformed geometry?. The object is the following, which validated on on GeoJSONLint.com. Also, I am using mongodb version 2.6.1. This happened to me recently when I was using version 2.4, and I upgraded to 2.6, and that solved the problem then, but I am getting the error again with a new geojson data set. Please, if anyone can let me know how to solve that would be very helpful.
{"type":"Feature",
"geometry": {
"type":"Polygon",
"coordinates": [[[-80.341942, 25.935059],[-80.341995, 25.936712],[-80.342026, 25.937851],[-80.342026, 25.938393],[-80.34211, 25.939489],[-80.342178, 25.942131],[-80.342308, 25.942329],[-80.342339, 25.94285],[-80.342438, 25.944914],[-80.342445, 25.945118],[-80.342514, 25.947062],[-80.342537, 25.947479],[-80.342613, 25.949152],[-80.342667, 25.950306],[-80.342712, 25.951366],[-80.342773, 25.952713],[-80.342857, 25.954611],[-80.341438, 25.955782],[-80.340202, 25.956839],[-80.339104, 25.957079],[-80.33831, 25.957081],[-80.336006, 25.957088],[-80.333244, 25.957096],[-80.331787, 25.957102],[-80.326721, 25.957117],[-80.326714, 25.957117],[-80.32444, 25.957127],[-80.323616, 25.957129],[-80.322365, 25.957132],[-80.318619, 25.957146],[-80.317375, 25.95715],[-80.316597, 25.957151],[-80.314278, 25.957161],[-80.313507, 25.957163],[-80.3134, 25.957163],[-80.31308, 25.957165],[-80.312973, 25.957167],[-80.312798, 25.957167],[-80.312263, 25.957167],[-80.312088, 25.957167],[-80.311996, 25.957167],[-80.311737, 25.957167],[-80.311646, 25.957169],[-80.311531, 25.957169],[-80.311272, 25.95717],[-80.311188, 25.95717],[-80.311073, 25.95717],[-80.311028, 25.95717],[-80.310913, 25.95717],[-80.310883, 25.95717],[-80.310837, 25.95717],[-80.310829, 25.95717],[-80.310783, 25.95717],[-80.310776, 25.95717],[-80.310738, 25.957169],[-80.310684, 25.957167],[-80.310646, 25.957165],[-80.310616, 25.957165],[-80.310547, 25.957163],[-80.310356, 25.957161],[-80.310287, 25.957159],[-80.310249, 25.957157],[-80.310143, 25.957155],[-80.310104, 25.957155],[-80.302231, 25.95697],[-80.301704, 25.956972],[-80.298981, 25.956896],[-80.301468, 25.956968],[-80.298668, 25.956886],[-80.29528, 25.956772],[-80.295052, 25.95677],[-80.294975, 25.95677],[-80.294975, 25.956905],[-80.294975, 25.956928],[-80.294762, 25.956938],[-80.29454, 25.956947],[-80.294548, 25.956835],[-80.294579, 25.954868],[-80.294579, 25.954702],[-80.294601, 25.953625],[-80.294601, 25.953461],[-80.294571, 25.953079],[-80.294502, 25.95186],[-80.294487, 25.95163],[-80.294472, 25.951212],[-80.294418, 25.949945],[-80.294296, 25.946936],[-80.294281, 25.946581],[-80.294197, 25.944429],[-80.294128, 25.943003],[-80.294098, 25.942413],[-80.29409, 25.94228],[-80.293854, 25.939285],[-80.293846, 25.939144],[-80.293694, 25.936041],[-80.293625, 25.934875],[-80.293549, 25.933006],[-80.293541, 25.932341],[-80.293533, 25.931826],[-80.293472, 25.931252],[-80.293495, 25.93054],[-80.293373, 25.928652],[-80.293343, 25.928129],[-80.293335, 25.927803],[-80.29332, 25.92738],[-80.293228, 25.925432],[-80.295456, 25.925182],[-80.296936, 25.925102],[-80.297676, 25.925114],[-80.297974, 25.925117],[-80.298866, 25.925131],[-80.30027, 25.925121],[-80.300957, 25.925116],[-80.305336, 25.925138],[-80.306831, 25.925156],[-80.307472, 25.925163],[-80.307686, 25.925158],[-80.308235, 25.92514],[-80.30941, 25.925127],[-80.309402, 25.924763],[-80.313126, 25.924776],[-80.318581, 25.924747],[-80.319275, 25.924746],[-80.319557, 25.924723],[-80.320023, 25.924686],[-80.320137, 25.924664],[-80.320526, 25.924587],[-80.320992, 25.924469],[-80.321259, 25.9244],[-80.321419, 25.924341],[-80.321869, 25.92417],[-80.322388, 25.923891],[-80.32254, 25.923805],[-80.322746, 25.923674],[-80.323059, 25.923479],[-80.323067, 25.923475],[-80.323181, 25.923376],[-80.323235, 25.92333],[-80.32373, 25.922907],[-80.324226, 25.922354],[-80.324783, 25.921375],[-80.324966, 25.920954],[-80.32531, 25.921684],[-80.325325, 25.922615],[-80.32534, 25.923359],[-80.32534, 25.923492],[-80.325348, 25.923607],[-80.325356, 25.923817],[-80.325371, 25.924597],[-80.325401, 25.925245],[-80.325432, 25.925819],[-80.325439, 25.92606],[-80.325462, 25.926447],[-80.325447, 25.926756],[-80.325409, 25.927439],[-80.325562, 25.92762],[-80.325706, 25.927801],[-80.325928, 25.92808],[-80.326218, 25.927971],[-80.326492, 25.927883],[-80.327003, 25.927832],[-80.33033, 25.927818],[-80.333618, 25.927853],[-80.334419, 25.927872],[-80.336128, 25.927896],[-80.336777, 25.927883],[-80.338219, 25.927912],[-80.339294, 25.927912],[-80.33963, 25.927931],[-80.340416, 25.927938],[-80.340919, 25.927923],[-80.341103, 25.927925],[-80.341606, 25.927925],[-80.34166, 25.929146],[-80.341721, 25.930458],[-80.341728, 25.930592],[-80.341766, 25.931606],[-80.341858, 25.933409],[-80.341942, 25.935059]
]]},
"properties":{
"id": "ZIP33015","census_year": 2010,"exposure_year": 2014, "commercial_exposure": 652653581, "residential_exposure": 2299303204, "mobile_home": 0, "tenants": 8631577, "condo_owners": 49223035, "total_exposure": 3009811397}}
When I run db.exposureByZip.ensureIndex({"geometry" : "2dsphere"}) on the above, I get the following error:
{
"createdCollectionAutomatically" : false,
"numIndexesBefore" : 1,
"ok" : 0,
"errmsg" : "Can't extract geo keys from object, malformed geometry?: { _id: ObjectId('53a6be43beeb0a0246ae75bb'), geometry: { type: \"Polygon\", coordinates: [ [ [ -80.341942, 25.935059 ], [ -80.341995, 25.936712 ], [ -80.342026, 25.937851 ], [ -80.342026, 25.938393 ], [ -80.34211000000001, 25.939489 ], [ -80.342178, 25.942131 ], [ -80.342308, 25.942329 ], [ -80.342339, 25.94285 ], [ -80.342438, 25.944914 ], [ -80.342445, 25.945118 ], [ -80.34251399999999, 25.947062 ], [ -80.34253699999999, 25.947479 ], [ -80.342613, 25.949152 ], [ -80.34266700000001, 25.950306 ], [ -80.34271200000001, 25.951366 ], [ -80.34277299999999, 25.952713 ], [ -80.342857, 25.954611 ], [ -80.341438, 25.955782 ], [ -80.34020200000001, 25.956839 ], [ -80.33910400000001, 25.957079 ], [ -80.33831000000001, 25.957081 ], [ -80.336006, 25.957088 ], [ -80.33324399999999, 25.957096 ], [ -80.33178700000001, 25.957102 ], [ -80.32672100000001, 25.957117 ], [ -80.326714, 25.957117 ], [ -80.32444, 25.957127 ], [ -80.323616, 25.957129 ], [ -80.322365, 25.957132 ], [ -80.318619, 25.957146 ], [ -80.317375, 25.95715 ], [ -80.316597, 25.957151 ], [ -80.314278, 25.957161 ], [ -80.313507, 25.957163 ], [ -80.3134, 25.957163 ], [ -80.31308, 25.957165 ], [ -80.312973, 25.957167 ], [ -80.312798, 25.957167 ], [ -80.312263, 25.957167 ], [ -80.312088, 25.957167 ], [ -80.31199599999999, 25.957167 ], [ -80.31173699999999, 25.957167 ], [ -80.311646, 25.957169 ], [ -80.311531, 25.957169 ], [ -80.311272, 25.95717 ], [ -80.311188, 25.95717 ], [ -80.31107299999999, 25.95717 ], [ -80.31102799999999, 25.95717 ], [ -80.310913, 25.95717 ], [ -80.310883, 25.95717 ], [ -80.31083700000001, 25.95717 ], [ -80.310829, 25.95717 ], [ -80.310783, 25.95717 ], [ -80.310776, 25.95717 ], [ -80.310738, 25.957169 ], [ -80.31068399999999, 25.957167 ], [ -80.31064600000001, 25.957165 ], [ -80.310616, 25.957165 ], [ -80.310547, 25.957163 ], [ -80.310356, 25.957161 ], [ -80.310287, 25.957159 ], [ -80.310249, 25.957157 ], [ -80.310143, 25.957155 ], [ -80.310104, 25.957155 ], [ -80.30223100000001, 25.95697 ], [ -80.301704, 25.956972 ], [ -80.298981, 25.956896 ], [ -80.301468, 25.956968 ], [ -80.29866800000001, 25.956886 ], [ -80.29528000000001, 25.956772 ], [ -80.295052, 25.95677 ], [ -80.29497499999999, 25.95677 ], [ -80.29497499999999, 25.956905 ], [ -80.29497499999999, 25.956928 ], [ -80.29476200000001, 25.956938 ], [ -80.29454, 25.956947 ], [ -80.29454800000001, 25.956835 ], [ -80.294579, 25.954868 ], [ -80.294579, 25.954702 ], [ -80.294601, 25.953625 ], [ -80.294601, 25.953461 ], [ -80.294571, 25.953079 ], [ -80.29450199999999, 25.95186 ], [ -80.294487, 25.95163 ], [ -80.294472, 25.951212 ], [ -80.29441799999999, 25.949945 ], [ -80.294296, 25.946936 ], [ -80.294281, 25.946581 ], [ -80.294197, 25.944429 ], [ -80.294128, 25.943003 ], [ -80.29409800000001, 25.942413 ], [ -80.29409, 25.94228 ], [ -80.293854, 25.939285 ], [ -80.293846, 25.939144 ], [ -80.293694, 25.936041 ], [ -80.29362500000001, 25.934875 ], [ -80.293549, 25.933006 ], [ -80.293541, 25.932341 ], [ -80.293533, 25.931826 ], [ -80.29347199999999, 25.931252 ], [ -80.29349499999999, 25.93054 ], [ -80.293373, 25.928652 ], [ -80.29334299999999, 25.928129 ], [ -80.293335, 25.927803 ], [ -80.29331999999999, 25.92738 ], [ -80.293228, 25.925432 ], [ -80.295456, 25.925182 ], [ -80.296936, 25.925102 ], [ -80.297676, 25.925114 ], [ -80.297974, 25.925117 ], [ -80.298866, 25.925131 ], [ -80.30027, 25.925121 ], [ -80.300957, 25.925116 ], [ -80.305336, 25.925138 ], [ -80.306831, 25.925156 ], [ -80.307472, 25.925163 ], [ -80.307686, 25.925158 ], [ -80.308235, 25.92514 ], [ -80.30941, 25.925127 ], [ -80.30940200000001, 25.924763 ], [ -80.313126, 25.924776 ], [ -80.31858099999999, 25.924747 ], [ -80.319275, 25.924746 ], [ -80.319557, 25.924723 ], [ -80.32002300000001, 25.924686 ], [ -80.320137, 25.924664 ], [ -80.320526, 25.924587 ], [ -80.320992, 25.924469 ], [ -80.321259, 25.9244 ], [ -80.32141900000001, 25.924341 ], [ -80.32186900000001, 25.92417 ], [ -80.322388, 25.923891 ], [ -80.32254, 25.923805 ], [ -80.322746, 25.923674 ], [ -80.323059, 25.923479 ], [ -80.32306699999999, 25.923475 ], [ -80.32318100000001, 25.923376 ], [ -80.323235, 25.92333 ], [ -80.32373, 25.922907 ], [ -80.324226, 25.922354 ], [ -80.324783, 25.921375 ], [ -80.324966, 25.920954 ], [ -80.32531, 25.921684 ], [ -80.32532500000001, 25.922615 ], [ -80.32534, 25.923359 ], [ -80.32534, 25.923492 ], [ -80.32534800000001, 25.923607 ], [ -80.325356, 25.923817 ], [ -80.325371, 25.924597 ], [ -80.325401, 25.925245 ], [ -80.32543200000001, 25.925819 ], [ -80.325439, 25.92606 ], [ -80.325462, 25.926447 ], [ -80.325447, 25.926756 ], [ -80.32540899999999, 25.927439 ], [ -80.32556200000001, 25.92762 ], [ -80.325706, 25.927801 ], [ -80.325928, 25.92808 ], [ -80.326218, 25.927971 ], [ -80.326492, 25.927883 ], [ -80.327003, 25.927832 ], [ -80.33033, 25.927818 ], [ -80.333618, 25.927853 ], [ -80.334419, 25.927872 ], [ -80.336128, 25.927896 ], [ -80.336777, 25.927883 ], [ -80.338219, 25.927912 ], [ -80.339294, 25.927912 ], [ -80.33963, 25.927931 ], [ -80.340416, 25.927938 ], [ -80.340919, 25.927923 ], [ -80.341103, 25.927925 ], [ -80.341606, 25.927925 ], [ -80.34166, 25.929146 ], [ -80.34172100000001, 25.930458 ], [ -80.341728, 25.930592 ], [ -80.34176600000001, 25.931606 ], [ -80.341858, 25.933409 ], [ -80.341942, 25.935059 ] ] ] }, type: \"Feature\", properties: { commercial_exposure: 652653581, total_exposure: 3009811397, condo_owners: 49223035, mobile_home: 0, census_year: 2010, tenants: 8631577, residential_exposure: 2299303204, exposure_year: 2014, id: \"ZIP33015\" } }",
"code" : 16755
}

There is a bug posted for this problem: https://jira.mongodb.org/browse/SERVER-13735
“Malformed geometry” error when creating a geosphere index for a valid
MultiPolygon
Similar issue, a valid GeoJSON is being submitted for a 2dsphere index and is causing the "Can't extract geo keys from object, malformed geometry?" error.
There have been a series of previous bugs where valid GeoJSON was causing this error message. They've fixed those in 2.6.x but this appears to be a new one. I'd chime in on JIRA as it will help get it prioritized for a fix.

Maybe the problem is because your polygon coordinates has the first coordinate and last coordinate as the same value. Try to remove the last coordinate pooint from your polygons.