Dirga36

import boto3
import json

s3 = boto3.client("s3")

def lambda_handler(event, context):
    for record in event["Records"]:
        bucket = record["s3"]["bucket"]["name"]
        key = record["s3"]["object"]["key"]

Dirga36

import hashlib
import boto3
from pathlib import Path

s3 = boto3.client("s3")

def file_hash(path: Path) -> str:
    return hashlib.md5(path.read_bytes()).hexdigest()

def sync_directory(local_dir: str, bucket: str, prefix: str = "") -> None:

Dirga36

import boto3
from pathlib import Path

s3 = boto3.client("s3")

def upload_file(local_path: str, bucket: str, s3_key: str) -> None:
    """Upload a single file to S3, preserving content type where possible."""
    path = Path(local_path)
    if not path.exists():
        raise FileNotFoundError(f"No such file: {local_path}")

Dirga36

pip install boto3
export AWS_ACCESS_KEY_ID="your-access-key"
export AWS_SECRET_ACCESS_KEY="your-secret-key"
export AWS_DEFAULT_REGION="us-east-1"

Dirga36

import pandas as pd

df = pd.read_csv("survey_responses.csv")

# Standardize inconsistent text entries in the "country" column
df["country"] = df["country"].str.strip().str.title()
df["country"] = df["country"].replace({
    "Usa": "United States",
    "U.S.": "United States",
    "Uk": "United Kingdom"

Dirga36

let angle = Math.PI / 4;
let angleVelocity = 0;
const angleAcceleration = 0;
const length = 200;
const gravity = 0.4;

function setup() {
  createCanvas(400, 400);
}

Dirga36

# Example decision audit log entry
decision_id: "d-88213"
timestamp: "2026-03-14T09:12:00Z"
model_version: "credit-risk-v4.2.1"
input_features_hash: "a91f...c3d2"
prediction: "denied"
confidence_score: 0.87
explainability_report_ref: "shap-report-88213.json"
reviewed_by_human: false

Dirga36

import shap
import xgboost as xgb

# Train a model on your dataset (X_train, y_train assumed pre-processed)
model = xgb.XGBClassifier()
model.fit(X_train, y_train)

# Create an explainer and compute SHAP values for the test set
explainer = shap.TreeExplainer(model)
shap_values = explainer.shap_values(X_test)

Dirga36

        cax = new DoodleUnitType("cax") {{
            constructor = TankUnit::create;
            aiController = GroundAI::new;

            //attributes
            hitSize = 50f;
            treadPullOffset = 1;
            speed = 0.7f;
            health = 17000;
            armor = 30f;

Dirga36

print("hello world")