GregBowyer

class LOL(object):
    def __nonzero__(self):
        import random
        if random.gauss(mu=0.5, sigma=0.05) >= 0.5:
            return 1
        else:
            return 0

_X = LOL()
True = _X

GregBowyer

In [1]: import pandas as pd

In [2]: df = pd.read_csv("/home/greg/Downloads/slipknot_fans.csv")

In [3]: %edit 
IPython will make a temporary file named: /tmp/ipython_edit_jgkmcag0/ipython_edit_d4b4hpdb.py
Editing... done. Executing edited code...
Out[3]: "def merge_columns(df, column_prefix, new_aggregate_prefix):\n    temp = df[[x for x in df.columns if column_prefix in x]] == True\n    # Breaking this down a little\n    # Find all the column names that are likely to be the category I want\n    # in this case `income_9_cat_xx`\n\n    # As a list-comprehension this is\n    income_cat_cols = [x for x in df.columns if column_prefix in x]\n\n    # Now we want to select just these columns from the dataframe\n    temp = df[income_cat_cols]\n\n    # Next we observe that we have some NaN / NA in the dataframe\n    # For boolean data I am going to _assume_ NaN is false\n    # or ... moreover I only care about where the value is True, so I am\n    # going to _project_ over only true values (True == True is ... True r

GregBowyer

(set-logic QF_BV)
(set-info :smt-lib-version 2.0)

(declare-fun mixed_fruit () ( 16))
(declare-fun french_fries () (_ BitVec 16))
(declare-fun side_salad () (_ BitVec 16))
(declare-fun hot_wings () (_ BitVec 16))
(declare-fun mozzarella_sticks () (_ BitVec 16))

(assert (bvult mixed_fruit #x0010))

GregBowyer

#!/usr/bin/python
import sys
import codecs
from openpyxl.reader.excel import load_workbook

def main():
    wb = load_workbook(filename=sys.argv[1])
    for sheet in wb.worksheets:
        csv_file='%s.csv' % sheet.title
        print 'Creating %s' % csv_file

GregBowyer

extern crate core;
extern crate itertools;

use itertools::Itertools;

static RAD50_PAD: u8 = 0x00;
static RAD50_TBL: [char; 40] = [
    ' ', 'A', 'B', 'C', 'D', 'E', 'F', 'G',
    'H', 'I', 'J', 'K', 'L', 'M', 'N', 'O',
    'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W',

GregBowyer

Keybase proof

I hereby claim:

• I am gregbowyer on github.
• I am gbowyer (https://keybase.io/gbowyer) on keybase.
• I have a public key ASDv-FIZPPbbT4OF0yZCD-w1rObo6MVsDTGDAc-qsXLpVwo

To claim this, I am signing this object:

GregBowyer

GregBowyer

GregBowyer

error[E0277]: the trait bound `RDD<'a, &'a str> + 'static: std::marker::Sized` is not satisfied
  --> lib.rs:23:57
   |
23 |     fn textFile<'a>(path: str, minPartitions: usize) -> RDD<'a, &'a str> {
   |                                                         ^^^^^^^^^^^^^^^^ the trait `std::marker::Sized` is not implemented for `RDD<'a, &'a str> + 'static`
   |
   = note: `RDD<'a, &'a str> + 'static` does not have a constant size known at compile-time
   = note: the return type of a function must have a statically known size

error[E0277]: the trait bound `str: std::marker::Sized` is not satisfied

GregBowyer

[package]
name = "tst"
version = "0.1.0"
authors = ["Greg Bowyer"]

[lib]
name = "tst"
crate-type = ["staticlib"]

[dependencies]