nandanrao

import shapely
import geopandas as gpd
import pandas as pd
import shapely.geometry.polygon as ply
import xxhash

def add_geo(r, geo):
    r = r.copy()
    r['geometry'] = geo
    return r

nandanrao

global:
  deployment:
    annotations:
      linkerd.io/inject: enabled
      
gitlab:
  gitaly:
    annotations:
      linkerd.io/inject: enabled

nandanrao

                          +---------------+
                          |               |              +-------------+
+---------------------->  |   typeform    | <----------+ |             |
|                         |               |              |  response   |
|                         +---------------+ +--------->  |  service    |
|                                                        |             |
|                                                        |             | +-----+
|                                                        +-------------+       |

| |

nandanrao

Question types

Stitch

When stitching from one form to another, the "stitch" must be a statement:

YAML:

type: stitch
stitch:

nandanrao

/*!
 * Marp / Marpit Gaia theme.
 *
 * @theme gaia
 * @author Yuki Hattori
 *
 * @auto-scaling true
 * @size 4:3 960px 720px
 */

nandanrao

/*!
 * Marp / Marpit Gaia theme.
 *
 * @theme gaia
 * @author Yuki Hattori
 *
 * @auto-scaling true
 * @size 4:3 960px 720px
 */

nandanrao

/*!
 * Marp / Marpit Gaia theme.
 *
 * @theme gaia
 * @author Yuki Hattori
 *
 * @auto-scaling true
 * @size 4:3 960px 720px
 */
/* $color-light: #F8F5EC; */

nandanrao

def foo(N):
    for i in range(N):
        print(i)


def square(a):
    return a**2

square = lambda a: a**2

nandanrao

import numpy as np
from scipy.special import logsumexp

def _multi_mle(X, w):
    X = X * w[:, np.newaxis]
    return X.sum(axis=0) / X.sum()

def _multi_ll(X, params):
    return X @ np.log(params).T

nandanrao

import numpy as np

def _multi_mle(X, w):
    X = X * w[:, np.newaxis]
    return X.sum(axis=0) / X.sum()

def _multi_ll(X, params):
    return X @ np.log(params).T

def m_step(X, r):