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| import argparse | |
| import requests | |
| import logging as log | |
| import pandas as pd | |
| from datetime import datetime | |
| import json | |
| def call_exponea_api(method,path, payload, config): | |
| url = f"{config['api_endpoint']}{path}" | |
| log.debug(url) |
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| - id: '1646558426XXX' | |
| alias: 'Reed and Update Local Temp' | |
| description: 'No description' | |
| trigger: | |
| - platform: time_pattern | |
| minutes: /15 | |
| condition: [] | |
| action: | |
| - service: number.set_value | |
| target: |
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| library(ggplot2) | |
| library(dplyr) | |
| library(scales) | |
| library(zoo) | |
| library(rvest) | |
| library(jsonlite) | |
| #seznam dnu v tudnu | |
| weekdays <- c("Po","Ut","St","Ct","Pa","So","Ne") |
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| library(ggplot2) | |
| library(scales) | |
| library(dplyr) | |
| ################## parameters ############## | |
| all <- 10000000 # population | |
| sick <- 200000 # number of sick people | |
| sensitivity <- 0.95 # how many SICK people will be detected correctly | |
| specificity <- 0.95 # how many HEALTHY people will be detected correctly |
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| google_project_iam_member.member-lle: Refreshing state... [id=activate-mobileapps-reviews-2/roles/editor/user:[email protected]] | |
| google_bigquery_dataset.dataset-sanbox: Refreshing state... [id=projects/activate-mobileapps-reviews-2/datasets/sandbox] | |
| google_bigquery_dataset.dataset-l0: Refreshing state... [id=projects/activate-mobileapps-reviews-2/datasets/L0] | |
| google_project_iam_member.member-hka: Refreshing state... [id=activate-mobileapps-reviews-2/roles/editor/user:[email protected]] | |
| google_storage_bucket.bucket-temp: Refreshing state... [id=activate-mobileapps-reviews-2-temp] | |
| google_project_iam_member.member-fha: Refreshing state... [id=activate-mobileapps-reviews-2/roles/editor/user:[email protected]] | |
| google_project_iam_member.member-jzu: Refreshing state... [id=activate-mobileapps-reviews-2/roles/editor/user:[email protected]] | |
| An execution plan has been generated and is shown below. | |
| Resource actions are indicated with the following symbols: |
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| import numpy as np | |
| import cv2 | |
| # open capturing device and check | |
| cap = cv2.VideoCapture("DJI160.MOV") | |
| # define color range - bottom and top of color space in GBR (reverse RGB) | |
| boundaries = ([00, 00, 123], [88, 88 , 190]) | |
| frames=0 #frame counter | |
| # main loop - frame by frame proceesing |
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| import numpy as np | |
| import cv2 | |
| import sys | |
| # input and output folders | |
| basedir = "/mnt/c/MEDIA" | |
| infolder = "input" | |
| outfolder = "output" | |
| if (len(sys.argv) != 2): |
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| library(dplyr) | |
| library(tidyr) | |
| library(ggplot2) | |
| library(scales) | |
| # simple vizualization of public dataset https://data.humdata.org/dataset/novel-coronavirus-2019-ncov-cases | |
| rm(list=ls()) |
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| add-apt-repository universe | |
| sudo apt-get update | |
| apt-get install -y mc mdadm lvm2 | |
| mkdir /media/DATA | |
| mount -t ntfs -o nls=utf8,umask=0222 /dev/sda2 /media/DATA | |
| mkdir /media/SYNO | |
| mdadm -Asf && vgchange -ay | |
| mount /dev/vg1000/lv /media/SYNO -o ro |
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| var ss = SpreadsheetApp.getActiveSpreadsheet(); | |
| var space = String.fromCharCode(32); | |
| var nonBreakingSpace = String.fromCharCode(160); | |
| //var nonBreakingSpace = "_"; // pro test | |
| //hlavni funkce. Provede nahrazeni ve vsech bunkach | |
| function replaceActiveSheet(){ | |
| var sheet = ss.getActiveSheet() | |
| var range =sheet.getDataRange(); | |
| var values = range.getValues() |
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