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| set visualbell | |
| set noerrorbells | |
| set surround | |
| set hlsearch | |
| nnoremap <silent> <Esc><Esc> <Esc>:nohlsearch<CR><Esc> | |
| map <leader>r :register<ENTER> | |
| map <C-j> <C-W>j | |
| map <C-k> <C-W>k | |
| map <C-h> <C-W>h | |
| map <C-l> <C-W>l |
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| " Auto install from https://github.com/junegunn/vim-plug/wiki/tips#automatic-installation | |
| if empty(glob('~/.vim/autoload/plug.vim')) | |
| silent !curl -fLo ~/.vim/autoload/plug.vim --create-dirs | |
| \ https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim | |
| autocmd VimEnter * PlugInstall --sync | source $MYVIMRC | |
| endif | |
| call plug#begin('~/.vim/plugged') | |
| Plug 'majutsushi/tagbar', { 'do': 'cp -R ./plugin ~/.vim/' } | |
| Plug 'nathanaelkane/vim-indent-guides' |
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| def f(x): | |
| return x * np.sin(x) | |
| xs = np.linspace(-1, 11, 2000) | |
| ys = f(xs) | |
| def train_dict_and_plot(num_train, quantize_scale): | |
| train_x = xs[::len(xs)//num_train] | |
| train_y = ys[::len(xs)//num_train] | |
| db = {} | |
| def quantize(x): | |
| return int(x * quantize_scale) |
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| import joblib, os, torch | |
| from functools import cached_property | |
| from google.cloud import storage | |
| from google.oauth2 import service_account | |
| import torchvision.transforms as transforms | |
| def prep_dir(path: str) -> str: | |
| if not os.path.exists(path): | |
| os.mkdir(path) |
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| import csv | |
| import os.path | |
| def save_scores(scores): | |
| with open('scores.csv', 'w+') as f: | |
| for score in scores: | |
| f.write(str(score) +"\n") | |
| def load_scores_from_file(): |