billmetangmo

from openpyxl import load_workbook
import csv
from collections import defaultdict, Counter

# Load the workbook
file_path = "Forum Gestion Entreprise Compta online.xlsx"
workbook = load_workbook(file_path)
sheet = workbook['Sheet1']

# Get the content of the "Droit pourquoi?" column

billmetangmo

https://googlechromelabs.github.io/chrome-for-testing/ ( for windows)

billmetangmo

import os
import pandas as pd
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
import csv
from time import sleep

# Initialize Slack client with your token
client = WebClient(token="<SLACK_BOT_TOKEN>")

billmetangmo

import pandas as pd
import datetime
import re
import matplotlib.pyplot as plt

# Load the CSV file
df = pd.read_csv("/mnt/data/06-10-2023_10-10.csv")

# Function to convert status text to timedelta
def convert_to_timedelta_updated_with_weeks(text):

billmetangmo

- op: add
  path: /Resources/HTTPSRulePriorityAction1
  value:
    Metadata:
      'aws:copilot:description': 'Custom resource assigning priority for the first HTTPS listener rule'
    DependsOn: HTTPSListenerRule
    Type: Custom::RulePriorityFunction
    Properties:
      ServiceToken: !GetAtt RulePriorityFunction.Arn
      RulePath: ["/"]

billmetangmo

import unittest
from typing import List, Dict
from tqdm import tqdm

def distribute_elements(stream: List[int], servers: List[str], weights: List[int]) -> Dict[str, List[int]]:
    if len(servers) != len(weights):
        raise ValueError("The number of servers and weights must be the same.")
    
    total_weight = sum(weights)
    normalized_weights = [weight / total_weight for weight in weights]

billmetangmo

apiVersion: argoproj.io/v1alpha1
kind: ApplicationSet
metadata:
  name: easyappointments-preview
  namespace: argocd
spec:
  generators:
    - pullRequest:
        github:
          owner: mongulu-cm

billmetangmo

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Sid": "DenyCreateResourcesInSpecificRegions",
      "Effect": "Deny",
      "Action": [
        "*"
      ],
      "Resource": "*",

billmetangmo

import pandas as pd
import matplotlib.pyplot as plt

# Load the CSV file
file_path = '/mnt/data/resources(2).csv'
data = pd.read_csv(file_path)

# Calculate the number of resources per region
resources_per_region = data['Region'].value_counts().reset_index()
resources_per_region.columns = ['Region', 'Number of Resources']

billmetangmo

RUN_IDS=$(gh run list --repo $REPO --json databaseId --limit 50 | jq -r '.[1:] | .[].databaseId')
Delet all runs: gh run delete --repo $REPO 10143283850