gcr

# Most of this was adapted from
# http://matt.might.net/articles/compiling-up-to-lambda-calculus/

# Python's lambda expressions are turing-complete. To show this, we will
# implement the "Lambda calculus" which is another way of saying "We're so manly
# we don't even NEED if statements!" The lambda calculus was invented in the
# 1930s, and it can solve any computable problem just by using anonymous
# functions that each take one argument and return one value, function
# application, and variable references. No jumps or GO TO's needed.

pv

import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import Voronoi

def voronoi_finite_polygons_2d(vor, radius=None):
    """
    Reconstruct infinite voronoi regions in a 2D diagram to finite
    regions.

    Parameters

pteich

package main

import (
	"context"
	"errors"
	"fmt"
	"os/signal"
	"syscall"
	"time"

sergeyklay

package main

import (
	"fmt"
	"golang.org/x/net/context"
	cc "golang.org/x/oauth2/clientcredentials"
	"io/ioutil"
	"net/http"
	"os"
)

den-crane

There are two options - implicit storages in MV (MV without TO) and explicit (table created in advance) (MV with TO).

And I have not been using MV without TO for a long time. Because it’s much more obvious and convenient to stupidly drop MV and create a new one.


# alter MV with implicit storage .inner (without TO) 
1. stop ingestion 
2. detach table MVX
3. alter table `.inner.MVX` add column ..... 
4. attach MATERIALIZED VIEW MVX as select new_SELECT_.....

dragonsinth

package main

import (
	"context"
	"encoding/json"
	"fmt"
	"io"
	"log"
	"sync/atomic"
	"time"