djm

"""
This snippet will return all the letting agents, bucket into discrete bands based on distance from
an origin point (for example, the user's current location), then sorted alphabetically within each
bend. The goal being to prioritise agents in close proximity, but not execessively so -- all agents
within the same band should be given equal distance-related priority.

If there's a search term, we then boost the distance score based on the name's similiarity to the
search query.
"""
qs = LettingAgentLocation.objects.select_related("agent").filter(postcode__isnull=False)

djm

#!/usr/bin/env python

import argparse
import os
import subprocess
import sys
import time

# Required so we don't generate tons of logs during restore
disable_logging_sql = "ALTER USER postgres RESET pgaudit.log;"

djm

import os
import pickle
import warnings

import numpy as np
import pandas as pd
from sklearn.model_selection import train_test_split
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import Dropout

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-- Collision-resistant ids optimized for horizontal scaling and performance, for PL/PgSQL.
-- Based on https://github.com/ericelliott/cuid
-- Version 1.0.0

-- Usage: SELECT cuid();

-- BEGIN CONFIG ---

-- Put a unique host ID (int) here per server instance.
-- Once set, this value should not be changed.

djm

import * as redis from "redis";
import * as Websocket from "ws";
import { v4 } from "uuid";
import * as http from "http";

function noop() {}

enum WebsocketSendType {
  BROADCAST_EMIT = "BROADCAST_EMIT",
}

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<template>
    <div>
        <label v-if="label" class="form-label" :for="`date-input-${_uid}`">{{ label }}:</label>
        <input v-bind="$attrs" class="form-input" :id="`date-input-${_uid}`" :class="{ error: error }" type="text" ref="input" :value="value" @change="change" @keyup="change">
        <div v-if="error" class="form-error">{{ error }}</div>
    </div>
</template>

<script>
import pikaday from 'pikaday'

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defmodule Test do
  def thing() do
    1+1
  end
  
  defmacro my_macro do
    quote do
      1 + 1
    end
  end

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from jobs import send_welcome_email

# ...

def register_user():
    user = do_the_registration()
    send_welcome_email.transaction_aware_delay(user.id)
    # or
    # send_welcome_email.request_aware_delay(user.id)
    

djm

"""
Utilities for working with bulk data and batches.
"""
import itertools


def batches(items, batch_size=500):
    """
    Given an iterable of items and a batch size, yield individual lists
    of items of maximum length `batch_size`.

djm

FROM node:8
WORKDIR /home/node/app

ADD https://github.com/Yelp/dumb-init/releases/download/v1.1.1/dumb-init_1.1.1_amd64 /usr/local/bin/dumb-init
RUN chmod +x /usr/local/bin/dumb-init

COPY package.json yarn.lock ./
RUN yarn --pure-lockfile
COPY . .