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| import geopandas as gpd | |
| import pandas as pd | |
| import pyarrow as pa | |
| import pyarrow.feather as feather | |
| import pyarrow.parquet as pq | |
| import pygeos | |
| import pyogrio | |
| # https://ookla-open-data.s3.us-west-2.amazonaws.com/parquet/performance/type=mobile/year=2019/quarter=1/2019-01-01_performance_mobile_tiles.parquet |
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| create table hex_r8 as ( | |
| with envelope as ( | |
| select st_envelope(wkb_geometry) geom from quartiers_sociologiques | |
| ), h3_id as ( | |
| select h3_polyfill(geom, 8) id from envelope | |
| ) | |
| select id, st_setsrid(h3_h3index_to_geoboundary(id), 4326) geom from h3_id | |
| ); |
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| SELECT jslibs.h3.ST_GEOGPOINTFROMH3("u2ce02j") | |
| SELECT jslibs.h3.ST_H3_BOUNDARY(jslibs.h3.ST_H3(ST_GEOGPOINT(13.377534960188237, 49.747300576525554), 11)) | |
| SELECT jslibs.h3.h3GetResolution("u2ce02j"); | |
| # lat/lon to hexagon | |
| SELECT jslibs.h3.ST_H3(ST_GEOGPOINT(statistics.coordinate.longitude, statistics.coordinate.latitude), 10) AS dwell_hex_id, | |
| WITH polygon AS ( |
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| from ortools.sat.python import cp_model | |
| ''' course: https://www.coursera.org/learn/solving-algorithms-discrete-optimization#about | |
| About how cp works and intro to solver strategies''' | |
| def patchingThe9HeavensProblem(): #sudoku problem | |
| model = cp_model.CpModel() |
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| # IDA (disassembler) and Hex-Rays (decompiler) plugin for Apple AMX | |
| # | |
| # WIP research. (This was edited to add more info after someone posted it to | |
| # Hacker News. Click "Revisions" to see full changes.) | |
| # | |
| # Copyright (c) 2020 dougallj | |
| # Based on Python port of VMX intrinsics plugin: | |
| # Copyright (c) 2019 w4kfu - Synacktiv |
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| #!/usr/bin/env python3 | |
| """Capacited Vehicles Routing Problem (CVRP). | |
| Here we simulate a vehicle already loaded with 4 orders and on its way to deliver them | |
| When a new order (node 5 -> 6) arrives. | |
| """ | |
| from ortools.constraint_solver import routing_enums_pb2 | |
| from ortools.constraint_solver import pywrapcp | |
| def print_solution(manager, routing, solution): |
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| worker_processes 1; | |
| user nginx; | |
| error_log /var/log/nginx/error.log warn; | |
| pid /var/run/nginx.pid; | |
| events { | |
| worker_connections 1024; # increase if you have lots of clients | |
| accept_mutex off; # set to 'on' if nginx worker_processes > 1 | |
| } |
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| # In .ebextensions/01_celery.config | |
| files: | |
| "/etc/systemd/system/celery.service": | |
| mode: "000644" | |
| owner: celery | |
| group: celery | |
| content: | | |
| [Unit] | |
| Description=Celery Service |
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| -- Isolate building features and height attributes | |
| WITH buildings AS ( | |
| SELECT | |
| feature_type, | |
| osm_id, | |
| osm_timestamp, | |
| ST_Centroid(geometry) AS centroid, | |
| ( | |
| SELECT | |
| value |