y56

https://www.discoverbits.in/864/error-launchpadlib-requires-testresources-which-installed
==

ERROR: launchpadlib 1.10.6 requires testresources, which is not installed.
+2 votes
asked Oct 6, 2019 in Programming Languages by pythonuser (11.5k points)
recategorized Oct 6, 2019 by pythonuser

I am getting the following error when I try to upgrade setuptools:

ojdo

import pandas as pd
from io import StringIO
from openpyxl.formatting.rule import ColorScaleRule
from openpyxl.styles import Alignment, Font, NamedStyle
from openpyxl.utils import get_column_letter

df = pd.read_csv(StringIO("""\
               alpha      beta     gamma
2000-01-01 -0.173215  0.119209 -1.044236
2000-01-02 -0.861849 -2.104569 -0.494929

gvolpe

Shared State in pure Functional Programming

Newcomers to Functional Programming are often very confused about the proper way to share state without breaking purity and end up having a mix of pure and impure code that defeats the purpose of having pure FP code in the first place.

Reason why I decided to write up a beginner friendly guide :)

Use Case

We have a program that runs three computations at the same time and updates the internal state to keep track of the

joeharr4

#!/bin/bash

# ssh-cipher-benchmark.sh - Assesses speed of SSH encryption between specific hosts.
# Usage:
# ssh-cipher-benchmark.sh <remotehost> [ciphers]
# Default ciphers: all we can find...
#
# Note: In some cases, the first cipher tested runs faster than the others, regardless of order.
# Cause of this is not known, but changing the order of testing shows it to be true.  Run the
# first one twice if you suspect this.  Perhaps it is due to buffering?

harry-cpp

Moved to:
  
  https://github.com/cra0zy/code-nautilus 
    
since people want to add features to it and no notification arrive from comments on gist.

Brainiarc7

Tuning Intel Skylake and beyond for optimal performance and feature level support on Linux:

Note that on Skylake, Kabylake (and the now cancelled "Broxton") SKUs, functionality such as power saving, GPU scheduling and HDMI audio have been moved onto binary-only firmware, and as such, the GuC and the HuC blobs must be loaded at run-time to access this functionality.

Enabling GuC and HuC on Skylake and above requires a few extra parameters be passed to the kernel before boot.

Instructions provided for both Fedora and Ubuntu (including Debian):

Note that the firmware for these GPUs is often packaged by your distributor, and as such, you can confirm the firmware blob's availability by running:

lentschi

#!/bin/bash -e

# Run a program requiring xserver as another user by passing on the xauth cookie
# s. http://askubuntu.com/questions/871092/failed-to-connect-to-mir-failed-to-connect-to-server-socket-no-such-file-or-di?newreg=811c7a1d637341c5b294d8b515e8b6e7
# s. http://serverfault.com/questions/51005/how-to-use-xauth-to-run-graphical-application-via-other-user-on-linux
# AUTHOR: Florian Lentsch <office@florian-lentsch.at>
# TESTED: on Ubuntu 16.04 only
#
# USAGE: xsudo <username> <command>

super3

Payout Formula

paymentModelFunction = function(gbHours, telemReports, downloadedBytes) {
 gbHoursScaled =  (gbHours - mean(gbHours)) / sd(gbHours)
 telemReportsScaled =  (telemReports - mean(telemReports)) / sd(telemReports)
 downloadedBytesScaled = (downloadedBytes - mean(downloadedBytes)) / sd(downloadedBytes)
 
 basePayout = 10
 ghHourPayout = 12.2221 * gbHoursScaled
 telemReportsPayout = 0.1452 * telemReportsScaled

akiross

dooglus

#! /usr/bin/env python

class Point(object):
    def __init__(self, _x, _y, _order = None): self.x, self.y, self.order = _x, _y, _order

    def calc(self, top, bottom, other_x):
        l = (top * inverse_mod(bottom)) % p
        x3 = (l * l - self.x - other_x) % p
        return Point(x3, (l * (self.x - x3) - self.y) % p)