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@muendelezaji
muendelezaji / payment-reference.py
Last active May 19, 2023 18:22
Create a simple unique payment reference to send to a provider
from datetime import datetime
def generate_payment_ref(email, method, country):
"""
Generates a unique payment reference that will be sent to the payment provider.
Examples of returned references:
- [email protected]
- [email protected]
- [email protected]
@muendelezaji
muendelezaji / diff_email_body.py
Created December 11, 2022 14:28
SendGrid - different email body depending on recipient status
# 1. Create dynamic body depending on status
if user_status == "paid":
body = f"Hello paid user: {user.first_name} {user_status}"
else:
body = f"Hello not paid user: {user.first_name} {user_status}"
# 2. Add it to recipient email substitutions
to_emails.append(
To(
email=user.user_email,
@muendelezaji
muendelezaji / get_pr.go
Last active November 4, 2022 01:52
Get PR number from a GitHub URL
// Derived from paste at https://pastebin.com/iwqG6zvH
// Lightly edited to make it run
// Original discussion: https://t.me/GolangTZ/475
// You can edit this code!
// Click here and start typing.
package main
import (
"bufio"
@muendelezaji
muendelezaji / bash.git-prompt.sh
Created September 1, 2020 17:24
Customize Bash PS1 prompt to show current status of active Git branch
# Customize Bash PS1 prompt to show current status of active Git branch.
# Adapted from and inspired by http://mediadoneright.com/content/ultimate-git-ps1-bash-prompt
# Slightly faster prompt, as measured on my machine (TM)
#
# By @muendelezaji, Oct 2015
# Skip if in zsh
[ "$ZSH" ] && return 0
# SETUP CONSTANTS
@muendelezaji
muendelezaji / tableau10.mplstyle
Last active March 5, 2020 02:40 — forked from rhiever/tableau10.mplstyle
Custom style (Tableau-inspired) for matplotlib plots in Jupyter Notebooks
# Author: Randal S. Olson (randalolson.com / @randal_olson)
# Uses Tableau's Tableau10 color scheme
#
# In Notebook, use it as follows:
# plt.style.use('https://gist.githubusercontent.com/muendelezaji/75fe7ca33ac3b47730ba85378459a206/raw/1b807615235ff6f4c919b5b70b01a609619e1e9c/tableau10.mplstyle')
figure.figsize: 12, 7
figure.edgecolor: white
figure.facecolor: white
@muendelezaji
muendelezaji / README.markdown
Created October 14, 2019 21:47 — forked from alexshk/README.markdown
List of countries in YAML, CSV and TXT format
@muendelezaji
muendelezaji / 0001-tflite-allow-fp16-for-fp32-models.patch
Last active February 11, 2020 13:22
Script to build TFLite benchmark_model tool and label_image demo for Android (arm64) including patches for FP16 support and optional RUY support
From b5a99e2174f115f87c0cb3de9d2a2479a0193db2 Mon Sep 17 00:00:00 2001
From: Koan-Sin Tan <[email protected]>
Date: Sun, 18 Nov 2018 13:11:38 +0800
Subject: [PATCH 1/3] add cmdline option to allow running fp32 models with fp16
Add an option for TFLite benchmark_model to allow running fp32
models with fp16. Useful when testing NNPAI accelerators with
fp16.
---
.../lite/tools/benchmark/benchmark_tflite_model.cc | 9 ++++++++-
@muendelezaji
muendelezaji / build-tensorflow.sh
Last active December 1, 2021 19:27 — forked from PatWie/update-tensorflow.sh
Script to build TensorFlow from source. Platform is ARM64 (aka aarch64) with OpenCL support via Codeplay SYCL SDK
#!/bin/bash
# =============================================================
# UPDATE SOURCE
# =============================================================
# git clone https://github.com/tensorflow/tensorflow
# git checkout -- .
# git pull origin master
# TF_BRANCH=r1.8
TF_ROOT=/home/tensorflow
@muendelezaji
muendelezaji / Dockerfile
Last active February 21, 2018 14:04
Vagrant and Docker setups for the ARM Computer Vision and Machine Learning library - https://github.com/ARM-software/ComputeLibrary
# Docker
FROM ubuntu:xenial
# Install developer tools
ENV DEBIAN_FRONTEND noninteractive
RUN apt-get -y update && apt-get -y install \
build-essential \
g++-arm-linux-gnueabihf \
git \
openjdk-8-jdk \
@muendelezaji
muendelezaji / TrafficVolume.java
Last active October 16, 2017 15:40
Clean up traffic volume data from a range of sensors and parse into a more usable format
import java.io.BufferedReader;
import java.io.BufferedWriter;
import java.io.IOException;
import java.lang.StringBuilder;
import java.nio.file.attribute.BasicFileAttributes;
import java.nio.file.Files;
import java.nio.file.FileSystems;
import java.nio.file.FileVisitResult;
import java.nio.file.Path;
import java.nio.file.Paths;