| #!/usr/bin/env python3 | |
| import argparse | |
| import json | |
| import os | |
| import sys | |
| import time | |
| from datetime import datetime, timezone | |
| from typing import List, Dict, Any, Optional |
| <html> | |
| <body> | |
| <div id="app"></div> | |
| <script type="importmap"> | |
| { | |
| "imports": { | |
| "preact": "https://unpkg.com/[email protected]/dist/preact.module.js", | |
| "preact/hooks": "https://unpkg.com/[email protected]/hooks/dist/hooks.module.js" | |
| } | |
| } |
| import getpass | |
| import json | |
| import re | |
| import sys | |
| import requests | |
| GROUP_URL_PATTERN = "https://hypothes.is/groups/([^/]+)/.*" | |
| api_token = getpass.getpass( |
| # Analysis of Hypothesis Python app routes as part of | |
| # https://github.com/hypothesis/playbook/issues/1797#issuecomment-2397242000. | |
| import os | |
| import ast | |
| import sys | |
| def find_py_files(root_dir): | |
| excluded_dirs = ["node_modules", "build", "test", "tests", "third_party"] |
| # Script to fetch and print the transcript for a YouTube video using the | |
| # YouTube Data API v3. | |
| # | |
| # 1. Create a project in the Google API Console | |
| # 2. Enable the YouTube Data API v3 for the new project | |
| # 3. Create credentials for a "Desktop" OAuth client. Download the JSON file | |
| # containing the credentials at the end of the setup process. | |
| # 4. Create a new virtualenv and install dependencies with: | |
| # | |
| # ``` |
| #include <algorithm> | |
| #include <chrono> | |
| #include <iostream> | |
| #include <iterator> | |
| #include <random> | |
| #include <vector> | |
| #include <Accelerate/Accelerate.h> | |
| #include <cblas.h> |
| import cv2 | |
| import numpy as np | |
| import argparse | |
| def warp_quadrilateral( | |
| input_path: str, | |
| src_points: list[tuple[int, int]], | |
| output_path: str, | |
| output_size: tuple[int, int], |
| use ndarray::{Array, Array2, ArrayView, Dim, Dimension, Ix, StrideShape}; | |
| use rten_tensor::prelude::*; | |
| use rten_tensor::{NdTensor, NdTensorView}; | |
| /// Convert an N-dimensional ndarray view to an [NdTensorView]. | |
| /// | |
| /// Returns `None` if the view is not in the standard layout (see | |
| /// [ArrayView::is_standard_layout]). | |
| fn as_ndtensor_view<'a, T, const N: usize>( |
| # At entry params are: | |
| # | |
| # tile_ptr (rdi) | |
| # tile_row_stride (rsi) | |
| # a (rdx, rcx) | |
| # b (r8, r9) | |
| # depth (stack) | |
| # alpha (xmm0) | |
| # beta (xmm1) | |
| .section __TEXT,__text,regular,pure_instructions |