billmetangmo

2025-09-05T12:26:34.090212935Z    68 ┃    if (isError(input)) {
2025-09-05T12:26:34.090216340Z    69 ┃      return input;
2025-09-05T12:26:34.090219693Z    70 ┃    }
2025-09-05T12:26:34.090223003Z  ❯ 71 ┃    const err = new H3Error(input.message ?? input.statusMessage ?? "", {
2025-09-05T12:26:34.090226844Z    72 ┃      cause: input.cause || input
2025-09-05T12:26:34.090232707Z    73 ┃    });
2025-09-05T12:26:34.090236161Z    74 ┃    if (hasProp(input, "stack")) {
2025-09-05T12:26:34.090239912Z    75 ┃      try {
2025-09-05T12:26:34.090243259Z    76 ┃        Object.defineProperty(err, "stack", {
2025-09-05T12:26:34.090246947Z 

billmetangmo

import os
import glob
from typing import List, Tuple, Dict, Any
from dotenv import load_dotenv
from llama_cloud_services import LlamaExtract
from llama_cloud.core.api_error import ApiError

# Charge les variables d'environnement (ex: LLAMA_CLOUD_API_KEY)
load_dotenv()

billmetangmo

api_server-1  | 09/05/2024 03:44:04 PM             users.py  76 : Using Auth Type: basic
api_server-1  | ERROR:    Traceback (most recent call last):
api_server-1  |   File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/base.py", line 1968, in _exec_single_context
api_server-1  |     self.dialect.do_execute(
api_server-1  |   File "/usr/local/lib/python3.11/site-packages/sqlalchemy/engine/default.py", line 920, in do_execute
api_server-1  |     cursor.execute(statement, parameters)
api_server-1  | psycopg2.errors.UndefinedTable: relation "connector_credential_pair" does not exist
api_server-1  | LINE 2: FROM connector_credential_pair
api_server-1  |              ^
api_server-1  | 

billmetangmo

https://docs.goauthentik.io/integrations/services/aws/#method-2-iam-identity-center
https://docs.goauthentik.io/docs/sources/github/
https://docs.goauthentik.io/docs/sources#add-sources-to-default-login-page

billmetangmo

title	date	author	categories	tags
Meeting 36	2024-08-07	collectif mongulu	Meeting notes	generative-ai data-tools developer-tools devops machine-learning

Recommandations

---

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

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

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

billmetangmo

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

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]