cpcloud

diff --git a/ftplugin/python/slime.vim b/ftplugin/python/slime.vim
index f95e334..6de0b84 100644
--- a/ftplugin/python/slime.vim
+++ b/ftplugin/python/slime.vim
@@ -1,7 +1,7 @@
 
 function! _EscapeText_python(text)
   if exists('g:slime_python_ipython') && len(split(a:text,"\n")) > 1
-    return ["%cpaste -q\n", a:text, "--\n"]
+    return ["\e[200~", a:text, "\e[201~\n"]

cpcloud

#!/usr/bin/env zsh                                                                                                                                                                             
                                                                                                                                                                                               
export IBIS_TEST_NN_HOST=impalalive                                                                                                                                                            
export IBIS_TEST_IMPALA_HOST=$IBIS_TEST_NN_HOST                                                                                                                                                
export IBIS_TEST_IMPALA_PORT=21050                                                                                                                                                             
export IBIS_TEST_WEBHDFS_PORT=50070                             

cpcloud

from pyspark.sql import Row

spark.conf.set('spark.sql.parquet.writeLegacyFormat', 'false')
spark.conf.set('spark.sql.parquet.compression.codec', 'uncompressed')

sc = spark.sparkContext
df = spark.createDataFrame(
    sc.parallelize(range(1, 100)
).map(lambda i: Row(value=i)))

cpcloud

Decimal Values in SQL-on-Hadoop

This document lays out the ways in which a few prominent SQL-on-Hadoop systems read and write decimal values from and to parquet files, and their respective in-memory formats.

Parquet Decimal Specification

Parquet's logical DECIMAL type can to be represented by the following physical types.

cpcloud

import collections
import enum
import re

from sre_parse import Pattern, SubPattern, parse
from sre_compile import compile as sre_compile
from sre_constants import BRANCH, SUBPATTERN


class Tokens(enum.Enum):

cpcloud

import random
import time

from collections import deque
from threading import Thread

import zmq

import numpy as np
import pandas as pd

cpcloud

In [6]: from slumba.miniast import *

In [7]: from slumba.source import sourcify

In [8]: myfunc = def_.silly_func(arg.a)(
   ...:     if_(
   ...:         load.a == 1,
   ...:         return_(load.a + 2),
   ...:         return_('Foo')
   ...:     )

cpcloud

import random
import time

from collections import deque
from threading import Thread

import zmq

import numpy as np
import pandas as pd

cpcloud

import pandas as pd
import ibis
import click

from prompt_toolkit import prompt
from prompt_toolkit.layout.lexers import PygmentsLexer
from pygments.lexers.sql import PostgresLexer


@click.command()

cpcloud

#!/bin/bash

set -eo pipefail

function env_exists() {
    conda env list | cut -d ' ' -f 1 | grep -v '#' | grep "${1}" 1> /dev/null
}

envname="skimage-test-opt"