Bill Metangmo billmetangmo
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| data "aws_iam_policy_document" "override" { | |
| statement { | |
| sid = "PublicReadForGetBucketObjects" | |
| principals { | |
| identifiers = ["*"] | |
| type = "AWS" | |
| } | |
| actions = ["s3:GetObject"] | |
| resources = [(terraform.workspace == "default") ? "arn:aws:s3:::${var.WEBSITE_BUCKET_NAME}/*" : "arn:aws:s3:::${terraform.workspace}-${var.WEBSITE_BUCKET_NAME}/*" |
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| # https://github.com/huggingface/notebooks/blob/main/sagemaker/11_deploy_model_from_hf_hub/deploy_transformer_model_from_hf_hub.ipynb | |
| pip install "sagemaker>=2.48.0" --upgrade |
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| # katana -list urls.txt -fs dn -j -o pages.json -silent | |
| import json | |
| import re | |
| import csv | |
| from concurrent.futures import ThreadPoolExecutor | |
| def find_email_in_json_line(json_line): | |
| # Parse the JSON line | |
| data = json.loads(json_line) |
billmetangmo
/ format_aws_transcript_file.py
Last active
July 5, 2023 12:00
Format AWS Transcript file
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| import json | |
| def transform_transcribe_output(json_output): | |
| transcriptions = [] | |
| output = json.loads(json_output) | |
| current_speaker_label = None | |
| for result in output['results']['items']: | |
| if 'speaker_label' in result: | |
| speaker_label = result['speaker_label'] |
billmetangmo
/ test.js
Created
March 28, 2023 10:04
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| import githubAppJwt from 'universal-github-app-jwt'; | |
| import { request } from "@octokit/request"; | |
| const APPID = "XXXXXX" | |
| // Replace with the path to your GitHub App's private key file | |
| const PRIVATE_KEY = `YYYYYYYYYYYYYYY`; | |
| try { |
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| from rich.traceback import install | |
| install(show_locals=True) | |
| from rich.console import Console | |
| console = Console() | |
| cache = Cache('prompt_cache') | |
| try: | |
| CMD | |
| except Exception as e: |
billmetangmo
/ scrape.py
Created
March 15, 2023 14:08
Scrape conferences from intertesting events https://www.solutions-ressources-humaines.com
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| # %% | |
| ! pip install selectolax requests | |
| # %% | |
| import csv | |
| with open("urls.csv") as f: | |
| reader = csv.reader(f) | |
| urls = list(reader) | |
| print(urls) |
billmetangmo
/ synthetic-test.js
Created
February 20, 2023 18:53
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| var synthetics = require('Synthetics'); | |
| const log = require('SyntheticsLogger'); | |
| const recordedScript = async function () { | |
| let page = await synthetics.getPage(); | |
| await synthetics.executeStep('Goto_0', async function() { | |
| await page.goto("https://mtchoun-mouh.mongulu.cm/", {waitUntil: 'domcontentloaded', timeout: 60000}) | |
| }) | |
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| repos: | |
| - id: $REPO | |
| delete_source_branch_on_merge: true | |
| workflow: datadog | |
| apply_requirements: | |
| - approved | |
| - undiverged | |
| pre_workflow_hooks: | |
| - run: | | |
| /usr/local/bin/rebase $REPO/c/-/merge_requests/$PULL_NUM |
billmetangmo
/ read_json_pd.py
Created
November 14, 2021 23:47
Read a file with one json per line with pandas
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| import pandas as pd | |
| df = pf.read_json("chemin",lines=True) | |
| df.columns.values | |
| df["Useridentity"] # contient du json imbriqué | |
| df["Useridentity"].apply(df.Series) | |
| df["Useridentity"].apply(df.Series).columns.values # ce df a les jsons imbriqués comme colonnes | |
| fdf = df[df["Useridentity"].apply(df.Series)["arn"].isna()] # récupéer le df avec tous ceux qui sont Nan |