terrycojones

#!/usr/bin/env python

"""Given category frequencies on the command line, print the entropy (base 2).

E.g., if there are 12 things in the first category, 4 in the second,
and 5 in the third, run

$ entropy.py 12 4 5
1.4099
"""

terrycojones

    parser.add_argument(
        '--noTsvHeader', action='store_false', default=True,
        dest='printTsvHeader',
        help='Do not print a TSV header (ignored uness --tsv is used).')

terrycojones

#!/bin/sh

cat<<'EOF'
(expressions...), [expressions...],
{key: value...}, {expressions...}    Binding or parenthesized expression,
                                     list display, dictionary display, set display
x[index], x[index:index],
x(arguments...), x.attribute         Subscription, slicing, call, attribute reference

await x                              Await expression

terrycojones

    df = pd.DataFrame(
       barData,
       index=('KG (0-6 years)', 'Young (0-19 years)', 'Older (>19 years)'),
       columns=('100,000', '1,000,000'),
    )

    ax = df.plot.bar(figsize=(12, 6), ylim=(0, 100),
       title='Age group percentages with viral load >100,000 or >1M',
       rot=0, fontsize=20, table=False)
    

terrycojones

def solve1(n, a):
    s = n + 1
    for p in range(len(a) - 2 * s):
        if a[p] + a[p + s] + a[p + s + s] == 0:
            a[p] = a[p + s] = a[p + s + s] = n
            if n > 1:
                solve1(n - 1, a)
            else:
                print(''.join(map(str, a)))
            a[p] = a[p + s] = a[p + s + s] = 0

terrycojones

def solve1(n, a):
    s = n + 1
    l = len(a)

    for p in range(0, l - 1):
        if p + s * 2 < l:
            if a[p] + a[p + s] + a[p + s + s] == 0:
                a[p] = a[p + s] = a[p + s + s] = n

                if (n > 1):

terrycojones

The “require topological evidence” setting allows you to specify
whether or not you want the program to discard recombination signals
that have no phylogenetic support. While this might seem an obvious
thing to do, you should realise that many of the recombination
detection methods implemented in RDP4 are fully capable of detecting
real recombination events that do not result in any detectable change
in phylogenetic tree topologies along an alignment. The default setting
is that topological evidence is required but this is simply because most
users (for good or bad reasons) would find this setting most desirable.

terrycojones

Model: SAMSUNG MZVLB1T0HALR-000L7 (nvme)
Disk /dev/nvme0n1: 1024GB
Sector size (logical/physical): 512B/512B
Partition Table: gpt
Disk Flags: 

Number  Start   End     Size    File system     Name                  Flags           Installer.og
 1      1049kB  135MB   134MB   ext4                                  msftres
 2      135MB   78.0GB  77.8GB  ntfs            Basic data partition  msftdata
 3      78.0GB  144GB   66.2GB  linux-swap(v1)

terrycojones

[[neither]plsx]sn[c2pla2/sallx]se[ladv1+sm0=nla1=ncla2=pla2%0=elfx]sl
[ldlm<pclald%0=cld2+sdlfx]sf[lap[is prime.]plsx]sp[ldplald/salfx]sc
[[enter X : ]P?dsa0>n3sdllx]ss[[negative]plsx]snlsx

terrycojones

(elpy-enable)
(pyvenv-workon "37")
(setq elpy-test-runner 'elpy-test-trial-runner)
(setq
 elpy-test-trial-runner-command
 (list (expand-file-name (format "~/.virtualenvs/%s/bin/trial" pyvenv-virtual-env-name)) "--rterrors"))

(when (require 'flycheck nil t)
  (setq elpy-modules (delq 'elpy-module-flymake elpy-modules))
  (add-hook 'elpy-mode-hook 'flycheck-mode))