Robert Knight robertknight

## youtube_captions_api_test.py
# 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:
#
#    ```

## accelerate_gemv.cpp
#include <algorithm>
#include <chrono>
#include <iostream>
#include <iterator>
#include <random>
#include <vector>

#include <Accelerate/Accelerate.h>
#include <cblas.h>

## rectify.py
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],

## rten_ndarray_conv.rs
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>(

## avx-512-gemm-kernel.s
# 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

## gemm_bench.rs
//! Port of https://github.com/danieldk/gemm-benchmark/ for comparison of
//! matrix multiplication performance against other popular libraries.

use std::time::Duration;

use wasnn::gemm;
use wasnn_tensor::prelude::*;
use wasnn_tensor::NdTensor;

use rayon::iter::IntoParallelIterator;

## fetch-annotation-pages.py
import os

import requests

search_after = ""
page_size = 200
group = os.environ["HYPOTHESIS_GROUP"]
access_token = os.environ["HYPOTHESIS_ACCESS_TOKEN"]
max_to_fetch = 10_000  # Max annotations to fetch before we stop

## hypothesis-canonical-links.md

      
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                robertknight
                / hypothesis-canonical-links.md
            
            
              Created
              July 7, 2022 10:37
            
              
                How Hypothesis interacts with canonical links (`<link rel=canonical>`)
              
          
    Hypothesis and canonical links

What are canonical links?

A <link rel="canonical" href="{url}"> tag in the <head> of a page specifies the canonical/"main" URL for the current page. When the same content can be accessed at different URLs, it specifies the preferred URL for the page. It was originally introduced for use with search engines.
For example, https://www.smore.com/577k7, https://www.smore.com/577k7-whatever and https://www.smore.com/577k7-the-edtech-monthly all return the same page. That page has a <link rel=canonical> field which specifies https://www.smore.com/577k7-the-edtech-monthly as the preferred URL.
See also https://en.wikipedia.org/wiki/Canonical_link_element.

  
## vitalsource-local-hypothesis.md

      
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                robertknight
                / vitalsource-local-hypothesis.md
            
            
              Last active
              June 30, 2022 10:18
            
              
                Testing VitalSource assignments with your local Hypothesis development environment
              
          
    VitalSource assignments in the LMS are different than other assignment types because the document is being displayed in a reader maintained by a third-party (VitalSource) rather than Via. This third-party reader always tries to load the production version of Hypothesis, whereas when Via is used to deliver a document, your local instance of Via will use your local Hypothesis client. A workaround for this issue to enable local testing is to redirect the request for the client's boot script to point to your local client, and modify the local client to ignore parts of the Hypothesis configuration in the page where the client's boot script is loaded.
The approach documented here can also be used in other situations where you want to subtitute the production Hypothesis client with the local one, in a page or web application where we can't modify the script tag that loads the client.

Configure your browser to redirect requests for the client's boot script at https://hypothes.is/embed.js to http://localhost:5000


## orientation-test.html
<html>
  <title>Canvas drawImage EXIF orientation test</title>
  <style>
    #dropZone {
      width: 300px;
      height: 100px;
      background-color: #aaa;
      border: 1px solid #ccc;
    }
	# 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
	//! Port of https://github.com/danieldk/gemm-benchmark/ for comparison of
	//! matrix multiplication performance against other popular libraries.

	use std::time::Duration;

	use wasnn::gemm;
	use wasnn_tensor::prelude::*;
	use wasnn_tensor::NdTensor;

	use rayon::iter::IntoParallelIterator;
	import os

	import requests

	search_after = ""
	page_size = 200
	group = os.environ["HYPOTHESIS_GROUP"]
	access_token = os.environ["HYPOTHESIS_ACCESS_TOKEN"]
	max_to_fetch = 10_000 # Max annotations to fetch before we stop
	<html>
	<title>Canvas drawImage EXIF orientation test</title>
	<style>
	#dropZone {
	width: 300px;
	height: 100px;
	background-color: #aaa;
	border: 1px solid #ccc;
	}