- install Visual Studio Core (i already have it)
- install C# vs code extension
- install .NET Core 3.1 SDK
- setup launch.json in .vscode
- start the debugger
from math import floor | |
# example of puzzle9x9_1.txt (0 = value to fill) | |
# | |
# 0 4 3 0 8 0 2 5 0 | |
# 6 0 0 0 0 0 0 0 0 | |
# 0 0 0 0 0 1 0 9 4 | |
# 9 0 0 0 0 4 0 7 0 | |
# 0 0 0 6 0 8 0 0 0 | |
# 0 1 0 2 0 0 0 0 3 |
# nltk==3.7 | |
# pandas==1.5.2 | |
# PyPDF2==2.11.2 | |
# scikit-learn==1.1.3 | |
from PyPDF2 import PdfReader | |
import io | |
import pandas as pd | |
import requests |
# azure-cognitiveservices-vision-face==0.6.0 | |
# image==1.5.33 | |
import os | |
import json | |
import requests | |
from azure.cognitiveservices.vision.face import FaceClient | |
from azure.cognitiveservices.vision.face.models import DetectedFace | |
from msrest.authentication import CognitiveServicesCredentials |
# azure-search-documents==11.3.0 | |
# faker=15.3.3 | |
import os | |
from azure.core.credentials import AzureKeyCredential | |
from azure.search.documents import SearchClient | |
from azure.search.documents.indexes import SearchIndexClient | |
from azure.search.documents.indexes.models import ( | |
CorsOptions, | |
ComplexField, |
# pandas = "1.5.1" | |
# faker = "15.3.2" | |
# matplotlib = "3.6.2" | |
# pyarrow = "10.0.0" | |
from faker import Faker | |
from timeit import default_timer as timer | |
import math | |
import matplotlib.pyplot as plt |
import argparse | |
import cv2 | |
import json | |
import os | |
import sys | |
def metadata(filename, video): | |
return { | |
"file_name": filename.split(os.path.sep)[-1], |
#!/bin/bash | |
# Get all the resources that are assessible by me | |
# and order them by last modified date | |
# create a file, `resources.sh` with the content of this script | |
# and run `bash resources.sh` | |
AccountStore="accounts.csv" | |
ResourcegroupStore="resourcegroups.csv" |