danoneata

import numpy as np


def fvecs_read(filename, c_contiguous=True):
    fv = np.fromfile(filename, dtype=np.float32)
    if fv.size == 0:
        return np.zeros((0, 0))
    dim = fv.view(np.int32)[0]
    assert dim > 0
    fv = fv.reshape(-1, 1 + dim)

danoneata

import numpy as np
import pdb

from sklearn.datasets import make_classification
from sklearn.mixture import GaussianMixture as GMM


def fisher_vector(xx, gmm):
    """Computes the Fisher vector on a set of descriptors.

danoneata

class Expr(object):
    def accept(self, visitor):
        method_name = 'visit_{}'.format(self.__class__.__name__.lower())
        visit = getattr(visitor, method_name)
        return visit(self)


class Int(Expr):
    def __init__(self, value):
        self.value = value

danoneata

# This example based on the following tutorial
# https://github.com/colour-science/colour-checker-detection/blob/master/colour_checker_detection/examples/examples_detection.ipynb

import matplotlib.pyplot as plt
import numpy as np
import streamlit as st

import colour

from colour_checker_detection import detect_colour_checkers_segmentation

danoneata

{-# LANGUAGE TypeOperators #-}
{-# LANGUAGE GeneralizedNewtypeDeriving #-}   
                                                           
import Control.Applicative
import Data.Char
import Data.List (intersperse)
import Data.Monoid hiding (All, Any)
import Data.Foldable hiding (all, any)
import Prelude hiding (all, any)

danoneata

from main import *


@dataclass
class Measurment:
    temp: float
    humidity: float
    # date: datetime

danoneata

import argparse
import pdb
import os
import sys

from collections import namedtuple

import numpy as np
import pandas as pd

danoneata

# Remap prefix to C-q.
set -g prefix C-q
unbind C-b
bind C-q send-prefix

# Use C-q C-q to go back to the last window.
bind-key C-q last-window

# Faster command sequences.
set -s escape-time 0

danoneata

import numpy as np
import pdb
from matplotlib import pyplot as plt
from scipy.stats import multivariate_normal


def gauss2d(mu, sigma, to_plot=False):
    w, h = 100, 100

    std = [np.sqrt(sigma[0, 0]), np.sqrt(sigma[1, 1])]

danoneata

Intro

• shell takes commands and passes to the operating system
• most popular shell is bash (Bourne Again Shell): a replacement of sh, the origianl Unix shell, which was written by Steve Bourne
• motivating examples:

# Copies all HTML files to `destination`,
# but only those that do not exist or are newer
cp -u *.html destination