| <!DOCTYPE html> | |
| <html lang="de"> | |
| <head> | |
| <meta charset="UTF-8"> | |
| <meta name="viewport" content="width=device-width, initial-scale=1.0, maximum-scale=1.0"> | |
| <title>Spielplatz-Restaurants Berlin — Familie</title> | |
| <link rel="stylesheet" href="https://unpkg.com/leaflet@1.9.4/dist/leaflet.css"/> | |
| <style> | |
| * { box-sizing: border-box; margin: 0; padding: 0; } | |
| body { font-family: -apple-system, sans-serif; background: #f5f5f5; } |
| (defun read-lines (filePath) | |
| "Return a list of lines of a file at filePath." | |
| (with-temp-buffer | |
| (insert-file-contents filePath) | |
| (split-string (buffer-string) "\n" t))) | |
| (defun parse-spec (s) | |
| (let ( (parsed (split-string s " " t) ) ) | |
| (list |
| def apply_processors(processors, df, callback=None): | |
| def _callback(processor, df): | |
| if callback is None: | |
| return | |
| callback(processor, df) | |
| for fn in processors: | |
| df = fn(df) | |
| _callback(fn, df) |
This is a companion piece to my instructions on building TensorFlow from source. In particular, the aim is to install the following pieces of software
on an Ubuntu Linux system, in particular Ubuntu 20.04.
| --- | |
| - name: Install MacOS Packages | |
| hosts: localhost | |
| become: false | |
| vars: | |
| brew_cask_packages: | |
| - 'atom' | |
| - 'docker' | |
| - 'dropbox' | |
| - 'firefox' |
| sed -i ".bak" -E 's/self\.assertFalse\((.*)\)/assert not \1/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertTrue\((.*)\)/assert \1/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertEqual\(([^,]*), (.*)\)$/assert \1 == \2/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertIn\(([^,]*), (.*)\)$/assert \1 in \2/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertNotEqual\(([^,]*), (.*)\)$/assert \1 != \2/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertNotIn\(([^,]*), (.*)\)$/assert \1 not in \2/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertIsNone\((.*)\)$/assert \1 is None/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertIsNotNone\((.*)\)$/assert \1 is not None/g' tests/*.py | |
| sed -i ".bak" -E 's/self\.assertAlmostEqual\(([^,]*), (.*)\)$/\2 == pytest.approx\(\1\)/g' tests/*.py |
| # Note – this is not a bash script (some of the steps require reboot) | |
| # I named it .sh just so Github does correct syntax highlighting. | |
| # This install Tensorflow 0.11, Cuda 8.0 and cudnn-8.0 | |
| # The CUDA part is mostly based on this excellent blog post: | |
| # http://tleyden.github.io/blog/2014/10/25/cuda-6-dot-5-on-aws-gpu-instance-running-ubuntu-14-dot-04/ | |
| # I extened Erick using additional instructions from http://ramhiser.com/2016/01/05/installing-tensorflow-on-an-aws-ec2-instance-with-gpu-support/ | |
| # Install various packages | |
| sudo apt-get update | |
| sudo apt-get upgrade -y # choose “install package maintainers version” |
| ;; Doopla | |
| (defun doopla () | |
| (interactive) | |
| (with-output-to-temp-buffer "*doopla*" | |
| (shell-command "doopla 2>/dev/null &" "*doopla*" "*Messages*") | |
| (pop-to-buffer "*doopla*"))) | |
| db.getCollection("all").stats(scale=1024*1024*2014) | |
| { | |
| "ns" : "group_category.all", | |
| "count" : 2092188, //2 million | |
| "size" : 23, //GB | |
| "avgObjSize" : 23470 (~23 KB), | |
| } |