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"""An IPython notebook manager with GridFS as the backend."""
from tornado import web
import pymongo
import gridfs
import datetime
import json
from IPython.html.services.contents.manager import ContentsManager
from IPython.utils import tz
from IPython import nbformat
from IPython.utils.traitlets import Unicode
class... | {
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"""an irc bridge
relays messages between in-world chat, and an irc channel.
notifies of users joining & leaving the scene on irc too.
"""
import naali
import circuits
import ircclient
from circuits.net.protocols import irc #IRC, PRIVMSG, USER, NICK, JOIN, Nick
IRCCHANNEL = "#realxtend-dev"
NICKNAME = "tundraserver"... | {
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"""An ISAPI extension base class implemented using a thread-pool."""
# $Id$
import sys
import time
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
PostQueuedCompletionStatus, CloseHandle
from win32security i... | {
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"path": "Lib/site-packages/isapi/threaded_extension.py",
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"""An ISAPI extension base class implemented using a thread-pool."""
# $Id: threaded_extension.py,v 1.4 2006/02/17 04:04:24 mhammond Exp $
import sys
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
PostQueue... | {
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"""An ISAPI extension base class implemented using a thread-pool."""
# $Id: threaded_extension.py,v 1.5 2008/11/26 08:39:33 mhammond Exp $
import sys
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
PostQueue... | {
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"""An ISAPI extension base class implemented using a thread-pool."""
# $Id: threaded_extension.py,v 1.6 2009/03/02 04:41:10 mhammond Exp $
import sys
import time
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
... | {
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"""An ISAPI extension base class implemented using a thread-pool."""
# $Id$
import sys
import time
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
PostQueuedCompletionStatus, CloseHandle
from win32s... | {
"repo_name": "ntuecon/server",
"path": "pyenv/Lib/site-packages/isapi/threaded_extension.py",
"copies": "1",
"size": "7373",
"license": "bsd-3-clause",
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"""An ISAPI extension base class implemented using a thread-pool."""
# $Id: threaded_extension.py,v 1.4 2006/02/17 04:04:24 mhammond Exp $
import sys
from isapi import isapicon, ExtensionError
import isapi.simple
from win32file import GetQueuedCompletionStatus, CreateIoCompletionPort, \
Po... | {
"repo_name": "Southpaw-TACTIC/Team",
"path": "src/python/Lib/site-packages/isapi/threaded_extension.py",
"copies": "1",
"size": "7348",
"license": "epl-1.0",
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# anis_coefficients.py
import healpy as hp
import numpy as np
import scipy.special as ss
"""
Script to compute the correlation basis-functions for various anisotropic
configurations of the GW background energy-density
-- Rutger van Haasteren (June 2014)
-- Stephen Taylor (modifications, February 2016)
"""
def re... | {
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# An island in matrix is a group of linked areas, all having the same value.
# This code counts number of islands in a given matrix, with including diagonal
# connections.
class matrix: # Public class to implement a graph
def __init__(self, row: int, col: int, graph: list):
self.ROW = row
self.CO... | {
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"path": "matrix/count_islands_in_matrix.py",
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"""An IsoSurface module that allows the user to make contours of input
point data.
"""
# Author: Prabhu Ramachandran <prabhu_r@users.sf.net>
# Copyright (c) 2005, Enthought, Inc.
# License: BSD Style.
# Enthought library imports.
from traits.api import Instance, Bool
# Local imports
from mayavi.core.module import Mo... | {
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"path": "mayavi/modules/iso_surface.py",
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''' Anisotropic to isotropic voxel conversion '''
from __future__ import division, print_function, absolute_import
from dipy.align.reslice import reslice
from warnings import warn
def resample(data, affine, zooms, new_zooms, order=1, mode='constant', cval=0):
"""Reslice data with new voxel resolution defined by `... | {
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''' Anisotropic to isotropic voxel conversion '''
import numpy as np
from scipy.ndimage import affine_transform
def resample(data,affine,zooms,new_zooms,order=1):
''' Resample data from anisotropic to isotropic voxel size
Parameters
----------
data : array, shape (I,J,K) or (I,J,K,N)
3d ... | {
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''' Anisotropic to isotropic voxel conversion '''
import numpy as np
from scipy.ndimage import affine_transform
def resample(data, affine, zooms, new_zooms, order=1, mode='constant', cval=0):
"""Resample data from anisotropic to isotropic voxel size
Parameters
----------
data : array, shape (I,J,K) ... | {
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""" An item in a Perspective contents list. """
# Enthought library imports.
from enthought.traits.api import Enum, Float, HasTraits, Str, implements
# Local imports.
from i_perspective_item import IPerspectiveItem
class PerspectiveItem(HasTraits):
""" An item in a Perspective contents list. """
implement... | {
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"path": "enthought/pyface/workbench/perspective_item.py",
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""" An item in a Perspective contents list. """
# Enthought library imports.
from traits.api import Enum, Float, HasTraits, provides, Str
# Local imports.
from i_perspective_item import IPerspectiveItem
@provides(IPerspectiveItem)
class PerspectiveItem(HasTraits):
""" An item in a Perspective contents list. ""... | {
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"path": "pyface/workbench/perspective_item.py",
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""" An item in a Perspective contents list. """
# Enthought library imports.
from traits.api import Enum, Float, HasTraits, provides, Str
# Local imports.
from .i_perspective_item import IPerspectiveItem
@provides(IPerspectiveItem)
class PerspectiveItem(HasTraits):
""" An item in a Perspective contents list. "... | {
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"path": "pyface/workbench/perspective_item.py",
"copies": "3",
"size": "2022",
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# An iterator for stepping through invoice emails via imap.
import os
try:
address = os.environ['WIRECARD_EMAIL']
password = os.environ['WIRECARD_EMAIL_PASSWORD']
except:
print "Set your email and password in environment variables WIRECARD_EMAIL and WIRECARD_EMAIL_PASSWORD."
print
print "For example"
print " ex... | {
"repo_name": "Bemmu/wirecard_email_parser",
"path": "iterators/iterate_all_wirecard_invoices.py",
"copies": "1",
"size": "1158",
"license": "mit",
"hash": -536077513841945100,
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"autogenerated": false,
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# An iterator is an interface like construct that Python supports.
# Many things are iterable, as we saw above.
# There are some other useful tools in the itertools module.
# In general, don't import * on a library.
from itertools import *
# assuming we still have string from earlier.
# Make an iterator that cycles th... | {
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"path": "iters/itools.py",
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"license": "mit",
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A=[]
limit = 10 ** 6
def fillA() :
B = []
inp = file('matrix.txt')
t = inp.readline()
while t!="":
# K = t.strip().split()
K = t.strip().split(',')
B.append(K)
t = inp.readline()
# print B
for i in range(0,len(B)):
A.append([])
for b in B:
for i in range(0,len(B)):
A[i].append(int(b[i]))
# prin... | {
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"path": "src/p82.py",
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... |
"""An LRU bounded set.
This module implements a Least Recently Used bounded set.
"""
class _Node(object):
__slots__ = ('value', 'previous', 'next')
# For use as a doubly linked list.
def __init__(self, value, previous_node=None, next_node=None):
self.value = value
self.previous = previous... | {
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"path": "lruset.py",
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"size": "3394",
"license": "bsd-3-clause",
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"has_no_ke... |
''' anlyzClassifTree: annotate dot trees produced by weka's graphviz plugin
Created on Apr 28, 2019
@version 0.1 191020
@author: rik
'''
import math
import re
import pygraphviz as pgv
import pygraphml
class DTNode():
def __init__(self,id):
self.id = id
self.name = ''
self.leaf = None
# if self.leaf
s... | {
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"path": "anlyzClassifTree.py",
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"license": "apache-2.0",
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... |
"""An LZW-based string packer.
LzwLib stores a set of strings as compressed binary data. It can also
generate Pico-8 Lua code capable of accessing a string given a string's ID (
returned by the encoder method). The goal is to make it easy to write Pico-8
games that use a large quantity of English text without storing ... | {
"repo_name": "dansanderson/p8advent",
"path": "p8advent/lzwlib.py",
"copies": "1",
"size": "10643",
"license": "mit",
"hash": 7100040366224698000,
"line_mean": 29.3219373219,
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"autogenerated": false,
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"config_test": false,
... |
""" An (master) roi experiment for the catreward project. """
from roi.base import Roi, Mean
class Catreward(Roi):
""" A Roi analysis class, customized for the catreward project. """
def __init__(self, TR, roi_name, trials, durations, data):
Roi.__init__(self, TR, roi_name, trials, durations, data)
... | {
"repo_name": "parenthetical-e/fmri",
"path": "catreward/roi/archive/base.py",
"copies": "1",
"size": "11286",
"license": "bsd-2-clause",
"hash": 136113654652819020,
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"autogenerated": false,
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"conf... |
# Anna and Brian order n items at a restaurant, but Anna declines to eat any of
# the kth item (where 0 <= k < n) due to an allergy. When the check comes, they
# decide to split the cost of all the items they shared; however, Brian may
# have forgotten that they didn't split the kth item and accidentally charged
# Anna... | {
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"path": "hacker_rank/algorithms/implementation/bonappetit.py",
"copies": "1",
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""" Annabel Droste
program to combine the datasets with the countrynames and the coordinates with their observations, consequently the data is put in the correct format
"""
## [{"country": "countryname",
## "observation": [{"genus": "genusname",
## "details": [{"species": "speciesname",
## ... | {
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"path": "code/scriptspython/final_datastructure.py",
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# Annabel Droste
# removes all the superfluous information from the dataset and creates a json file with the necessary info.
import csv
import json
input_file1 = csv.DictReader(open("C:\Users\Annabel\Documents\GitHub\Project\data\dataset_eu2_1.txt"), delimiter='\t')
output_file1 = "C:\Users\Annabel\Documents\GitHub\Pr... | {
"repo_name": "AnnabelD/Project",
"path": "code/scriptspython/tsv_json_dump_small.py",
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# Annales Xantenses
import sqlite3
import urllib
import re
from urllib.request import urlopen
from bs4 import BeautifulSoup
from phyllo.phyllo_logger import logger
# Case 1: Sections split by numbers (Roman or not) followed by a period, or bracketed. Subsections split by <p> tags
def parsecase1(ptags, c, colltitle, ... | {
"repo_name": "oudalab/phyllo",
"path": "phyllo/extractors/xanten.py",
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# Anna Mokrushina & RomanDubinin drawer
from bokeh.plotting import figure, output_file, show
from math import e
import numpy as np
from lab5 import L, f, real_func
from methods import runge_kutta, explicit_euler, recount_euler, get_next_m, progon
def main():
n = 30 # int(sys.argv[1])
x_points = np.linspace... | {
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"has_no... |
"""An NNTP client class based on:
- RFC 977: Network News Transfer Protocol
- RFC 2980: Common NNTP Extensions
- RFC 3977: Network News Transfer Protocol (version 2)
Example:
>>> from nntplib import NNTP
>>> s = NNTP('news')
>>> resp, count, first, last, name = s.group('comp.lang.python')
>>> print('Group', name, 'ha... | {
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"path": "code-analysis/programming_anguage/python/source_codes/Python3.8.0/Python-3.8.0/Lib/nntplib.py",
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"""An NNTP client class based on RFC 977: Network News Transfer Protocol.
Example:
>>> from nntplib import NNTP
>>> s = NNTP('news')
>>> resp, count, first, last, name = s.group('comp.lang.python')
>>> print('Group', name, 'has', count, 'articles, range', first, 'to', last)
Group comp.lang.python has 51 articles, ran... | {
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"ratio": ... |
"""An NNTP client class based on RFC 977: Network News Transfer Protocol.
Example:
>>> from nntplib import NNTP
>>> s = NNTP('news')
>>> resp, count, first, last, name = s.group('comp.lang.python')
>>> print 'Group', name, 'has', count, 'articles, range', first, 'to', last
Group comp.lang.python has 51 articl... | {
"repo_name": "nmercier/linux-cross-gcc",
"path": "win32/bin/Lib/nntplib.py",
"copies": "4",
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"""anno2 URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.10/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-base... | {
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"path": "anno2/urls.py",
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"size": "1424",
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"alpha_frac": 0.6917134831,
"autogenerated": false,
"ratio": 3.5073891625615765,
"config_test": false,... |
"""annodomini: utilities for Anno Domini dates and ranges"""
def to_ad(year):
"""Takes an integer year and returns an AD/BC formatted string.
No calendar adjustments of any kind are made.
Example:
>>> print to_ad(1900)
AD 1900
>>> print to_ad(-100)
100 BC
"""
if y... | {
"repo_name": "isawnyu/pleiades-gane",
"path": "annodomini.py",
"copies": "1",
"size": "1493",
"license": "bsd-3-clause",
"hash": 63982091504369110,
"line_mean": 28.2745098039,
"line_max": 76,
"alpha_frac": 0.5693235097,
"autogenerated": false,
"ratio": 3.1901709401709404,
"config_test": false,... |
"""Annotated computation graph management."""
import logging
from collections import OrderedDict
from itertools import chain
import numpy
import theano
from picklable_itertools.extras import equizip
from theano import Variable
from theano.gof import graph
from theano.sandbox.rng_mrg import MRG_RandomStreams
from thean... | {
"repo_name": "nke001/attention-lvcsr",
"path": "libs/blocks/blocks/graph.py",
"copies": "1",
"size": "24047",
"license": "mit",
"hash": -1561981364276055300,
"line_mean": 37.4137380192,
"line_max": 79,
"alpha_frac": 0.6063958082,
"autogenerated": false,
"ratio": 4.416345270890726,
"config_test... |
"""Annotated variant VCF files with additional information.
- GATK variant annotation with snpEff predicted effects.
"""
import os
from bcbio import broad, utils
from bcbio.distributed.transaction import file_transaction
from bcbio.provenance import do
from bcbio.variation import vcfutils
def get_gatk_annotations(co... | {
"repo_name": "Cyberbio-Lab/bcbio-nextgen",
"path": "bcbio/variation/annotation.py",
"copies": "1",
"size": "4309",
"license": "mit",
"hash": 5816760880851995000,
"line_mean": 47.9659090909,
"line_max": 99,
"alpha_frac": 0.591320492,
"autogenerated": false,
"ratio": 3.6455160744500845,
"config_... |
"""annotate fusion outputs from STAR and Tophat
Supported:
oncofuse: http://www.unav.es/genetica/oncofuse.html
github: https://github.com/mikessh/oncofuse
"""
from __future__ import print_function
import os
import pysam
from bcbio.utils import file_exists
from bcbio.distributed.transaction import file_transaction... | {
"repo_name": "biocyberman/bcbio-nextgen",
"path": "bcbio/rnaseq/oncofuse.py",
"copies": "1",
"size": "7546",
"license": "mit",
"hash": -340276373305822660,
"line_mean": 41.156424581,
"line_max": 117,
"alpha_frac": 0.6172806785,
"autogenerated": false,
"ratio": 3.324229074889868,
"config_test":... |
'''annotate_rnp - add information to the output from RNPxl
=======================================================
:Author: Tom Smith
:Release: $Id$
:Date: |today|
:Tags: Python RNP Proteomics
Purpose
-------
This script takes the xlsx output from RNPxl and annotates the table with useful information for downstream ... | {
"repo_name": "TomSmithCGAT/CamProt",
"path": "camprot/scripts/annotate_rnp.py",
"copies": "1",
"size": "18349",
"license": "mit",
"hash": 6903634075899758000,
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"line_max": 117,
"alpha_frac": 0.6380729195,
"autogenerated": false,
"ratio": 3.433570359281437,
"config_te... |
# Annotate stacktrace
# Use `print-stack 100` in Bochs
# Use `x /100gx $esp` in Qemu
import re
import sys
from pathlib import Path
from subprocess import Popen, PIPE
elf_file = Path(sys.argv[1]).resolve(strict=True)
return_addr_names = {} # return_addr -> function_name
# Read objdump address to assembly mappings
wi... | {
"repo_name": "Dentosal/rust_os",
"path": "tools/stack.py",
"copies": "1",
"size": "1601",
"license": "mit",
"hash": -1540108680090027500,
"line_mean": 25.6833333333,
"line_max": 79,
"alpha_frac": 0.5596502186,
"autogenerated": false,
"ratio": 2.9215328467153285,
"config_test": false,
"has_no... |
"""Annotate structural variant calls with associated genes.
"""
import os
import sys
from bcbio import utils
from bcbio.bam import ref
from bcbio.distributed.transaction import file_transaction
from bcbio.pipeline import datadict as dd
from bcbio.provenance import do
from bcbio.structural import regions
from bcbio.var... | {
"repo_name": "lbeltrame/bcbio-nextgen",
"path": "bcbio/structural/annotate.py",
"copies": "4",
"size": "4732",
"license": "mit",
"hash": 5022151497180512000,
"line_mean": 45.8514851485,
"line_max": 104,
"alpha_frac": 0.6181318681,
"autogenerated": false,
"ratio": 3.203791469194313,
"config_tes... |
"""Annotate structural variant calls with associated genes.
"""
import os
from bcbio import utils
from bcbio.bam import ref
from bcbio.distributed.transaction import file_transaction
from bcbio.pipeline import datadict as dd
from bcbio.provenance import do
from bcbio.structural import regions
from bcbio.variation impo... | {
"repo_name": "gifford-lab/bcbio-nextgen",
"path": "bcbio/structural/annotate.py",
"copies": "4",
"size": "2474",
"license": "mit",
"hash": -3524383843515285000,
"line_mean": 49.4897959184,
"line_max": 107,
"alpha_frac": 0.5840743735,
"autogenerated": false,
"ratio": 3.46013986013986,
"config_t... |
"""Annotate structural variant calls with associated genes.
"""
import os
from bcbio import utils
from bcbio.distributed.transaction import file_transaction
from bcbio.provenance import do
from bcbio.structural import regions
import pybedtools
def add_genes(in_file, data, max_distance=10000):
"""Add gene annotat... | {
"repo_name": "elkingtonmcb/bcbio-nextgen",
"path": "bcbio/structural/annotate.py",
"copies": "4",
"size": "2146",
"license": "mit",
"hash": 8552635327902342000,
"line_mean": 48.9069767442,
"line_max": 107,
"alpha_frac": 0.5838769804,
"autogenerated": false,
"ratio": 3.6372881355932205,
"config... |
"""Annotate the segmented tissue."""
import skimage.draw
from jicbioimage.core.transform import transformation
from jicbioimage.illustrate import AnnotatedImage
from jicbioimage.core.util.color import pretty_color
from util import argparse_get_image
from segment import segment
from transform import rotate
def anno... | {
"repo_name": "JIC-CSB/wheat-leaf-segmentation",
"path": "scripts/annotate.py",
"copies": "1",
"size": "1442",
"license": "mit",
"hash": -2509996194728047000,
"line_mean": 25.2181818182,
"line_max": 63,
"alpha_frac": 0.6671289875,
"autogenerated": false,
"ratio": 3.9291553133514987,
"config_tes... |
"""Annotate tweets with stance markers"""
from twit.models import Tweet
from twit.util import identify_stance, queryset_iterator
from twit.tqdm import tqdm
from . import DataProcessingCommand
class Command(DataProcessingCommand):
"""Annotate tweets with stance markers"""
help = __doc__
def process(self,... | {
"repo_name": "arunchaganty/aeschines",
"path": "django/twit/management/commands/annotate_stance.py",
"copies": "2",
"size": "1168",
"license": "mit",
"hash": -8944245264627378000,
"line_mean": 28.9487179487,
"line_max": 87,
"alpha_frac": 0.636130137,
"autogenerated": false,
"ratio": 3.8933333333... |
"""Annotate with potential DNA damage artifacts by examining strand/read bias.
Uses DKFZBiasFilter to identify strand and PCR bias and converts these into
INFO level annotations of low frequency variants:
https://github.com/bcbio/bcbio.github.io/blob/master/_posts/2017-01-31-damage-filters.md
"""
import io
import os
... | {
"repo_name": "a113n/bcbio-nextgen",
"path": "bcbio/variation/damage.py",
"copies": "4",
"size": "4334",
"license": "mit",
"hash": 3467379691616597500,
"line_mean": 47.6966292135,
"line_max": 116,
"alpha_frac": 0.6054453161,
"autogenerated": false,
"ratio": 3.456140350877193,
"config_test": fal... |
"""Annotation and rtyping support for the result of os.stat(), os.lstat()
and os.fstat(). In RPython like in plain Python the stat result can be
indexed like a tuple but also exposes the st_xxx attributes.
"""
import os
import sys
from rpython.annotator import model as annmodel
from rpython.rtyper.llannotation impor... | {
"repo_name": "jptomo/rpython-lang-scheme",
"path": "rpython/rtyper/module/ll_os_stat.py",
"copies": "1",
"size": "21189",
"license": "mit",
"hash": 1755075832420172000,
"line_mean": 34.7922297297,
"line_max": 103,
"alpha_frac": 0.5988956534,
"autogenerated": false,
"ratio": 3.346864634338967,
... |
"""Annotation Extension for relational expressions.
https://link.springer.com/protocol/10.1007/978-1-4939-3743-1_17
Correlated function associations between genes and GOs containing contextual information.
With contextual information identify gene products that perform a role:
- only under certain condi... | {
"repo_name": "tanghaibao/goatools",
"path": "goatools/anno/extensions/extensions.py",
"copies": "1",
"size": "1426",
"license": "bsd-2-clause",
"hash": -4486748324802402300,
"line_mean": 30.6888888889,
"line_max": 92,
"alpha_frac": 0.6486676017,
"autogenerated": false,
"ratio": 3.675257731958762... |
'''Annotation of ir.
Handles simple annotations, particularly marking results that are ignored.
'''
from __future__ import absolute_import
from ..runtime.multimethod import MultiMethod, defmethod
from . import ir as I
def annotate(ir):
annotate_node(ir)
annotate_children(ir)
annotate_node = MultiMetho... | {
"repo_name": "matthagy/Jamenson",
"path": "jamenson/compiler/annotate.py",
"copies": "1",
"size": "1916",
"license": "apache-2.0",
"hash": 8430256325796180000,
"line_mean": 24.2105263158,
"line_max": 97,
"alpha_frac": 0.7030271399,
"autogenerated": false,
"ratio": 3.130718954248366,
"config_te... |
"""Annotation parsing. For links inside annotations see test_inspect.TypeLinks."""
import sys
from typing import List, Tuple, Dict, Any, Union, Optional, Callable, TypeVar, Generic, Iterator
class Foo:
"""A class with properties"""
@property
def a_property(self) -> List[bool]:
"""A property with... | {
"repo_name": "mosra/m.css",
"path": "documentation/test_python/inspect_annotations/inspect_annotations.py",
"copies": "1",
"size": "4294",
"license": "mit",
"hash": -2427413527489259500,
"line_mean": 34.4876033058,
"line_max": 153,
"alpha_frac": 0.688402422,
"autogenerated": false,
"ratio": 3.72... |
"""annotations
Revision ID: ddd6ebdd853b
Revises: ca69c70ec99b
Create Date: 2017-09-13 16:36:39.144489
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'ddd6ebdd853b'
down_revision = 'ca69c70ec99b'
def upgrade():
# ### commands auto generated by Alembic - p... | {
"repo_name": "alanmcruickshank/superset-dev",
"path": "superset/migrations/versions/ddd6ebdd853b_annotations.py",
"copies": "1",
"size": "2198",
"license": "apache-2.0",
"hash": -1824422606638072600,
"line_mean": 38.25,
"line_max": 75,
"alpha_frac": 0.6237488626,
"autogenerated": false,
"ratio":... |
"""Announcement configuration.
The announcement configuration allows to adapt JSON objects for user data
administration, template adaptation, and changing the values to use for
substitutions into the templates, and global common settings for your
scenario.
This file needs adaptation work to match your surrounding env... | {
"repo_name": "OMerkel/Announcement",
"path": "announcementconfig.py",
"copies": "1",
"size": "5548",
"license": "mit",
"hash": -4968152670703105000,
"line_mean": 47.6666666667,
"line_max": 149,
"alpha_frac": 0.6387887527,
"autogenerated": false,
"ratio": 3.0416666666666665,
"config_test": fals... |
"""AnnouncementExternalFeeds API Version 1.0.
This API client was generated using a template. Make sure this code is valid before using it.
"""
import logging
from datetime import date, datetime
from .base import BaseCanvasAPI
from .base import BaseModel
class AnnouncementExternalFeedsAPI(BaseCanvasAPI):
"""Anno... | {
"repo_name": "tylerclair/py3canvas",
"path": "py3canvas/apis/announcement_external_feeds.py",
"copies": "1",
"size": "8916",
"license": "mit",
"hash": -6139625142390800000,
"line_mean": 36.3054393305,
"line_max": 322,
"alpha_frac": 0.6166442351,
"autogenerated": false,
"ratio": 4.050885960926851... |
"""AnnouncementExternalFeeds API Version 1.0.
This API client was generated using a template. Make sure this code is valid before using it.
"""
import logging
from datetime import date, datetime
from base import BaseCanvasAPI
from base import BaseModel
class AnnouncementExternalFeedsAPI(BaseCanvasAPI):
... | {
"repo_name": "PGower/PyCanvas",
"path": "pycanvas/apis/announcement_external_feeds.py",
"copies": "1",
"size": "9151",
"license": "mit",
"hash": 4290146231184314400,
"line_mean": 36.2887029289,
"line_max": 322,
"alpha_frac": 0.6005900994,
"autogenerated": false,
"ratio": 4.151996370235935,
"co... |
"""Announcement SMTP based library.
The announcement SMTP based library with a simplified command line startup.
MIT licensed, Copyright (c) 2015
@author Oliver Merkel, Merkel(dot)Oliver(at)web(dot)de.
All rights reserved.
"""
from announcementconfig import *
from smtplib import SMTP
from string import Template
from ... | {
"repo_name": "OMerkel/Announcement",
"path": "announcement.py",
"copies": "1",
"size": "6834",
"license": "mit",
"hash": 5222722947725391000,
"line_mean": 33.6903553299,
"line_max": 108,
"alpha_frac": 0.655253146,
"autogenerated": false,
"ratio": 3.5612298071912454,
"config_test": false,
"ha... |
# Announces data from flight and science files as merged
# JSON documents to ZeroMQ
#
# ZMQ JSON Messages:
# * set_start: Announces the start time and glider
# - Use start time and glider to differentiate sets if necessary
# * set_data: Announces a row of data
# * set_end: Announces the end of a glider data set
#
# B... | {
"repo_name": "USF-COT/GSPS",
"path": "glider_singleton_publishing_service/processor.py",
"copies": "1",
"size": "4655",
"license": "mit",
"hash": -5789365784431935000,
"line_mean": 30.6666666667,
"line_max": 79,
"alpha_frac": 0.5435016112,
"autogenerated": false,
"ratio": 3.7845528455284554,
"... |
"""An NTM's memory implementation."""
import torch
import torch.nn.functional as F
from torch import nn
import numpy as np
def _convolve(w, s):
"""Circular convolution implementation."""
assert s.size(0) == 3
t = torch.cat([w[-1:], w, w[:1]])
c = F.conv1d(t.view(1, 1, -1), s.view(1, 1, -1)).view(-1)
... | {
"repo_name": "loudinthecloud/pytorch-ntm",
"path": "ntm/memory.py",
"copies": "1",
"size": "3159",
"license": "bsd-3-clause",
"hash": 8435238546008898000,
"line_mean": 30.7676767677,
"line_max": 93,
"alpha_frac": 0.5720190779,
"autogenerated": false,
"ratio": 3.2931937172774868,
"config_test":... |
#annual summaries
import pandas as pd
import numpy as np
import matplotlib.pyplot as pylab
import os
import hashlib
import re
from datetime import datetime as dt
from StringIO import StringIO
import subprocess
def build_wallet(dataframe):
'''
creates/updates a wallet column in the dataframe based up... | {
"repo_name": "stuliveshere/Python-Wallets",
"path": "wallet/build_report.py",
"copies": "1",
"size": "15113",
"license": "mit",
"hash": -5811005723400855000,
"line_mean": 27.871541502,
"line_max": 134,
"alpha_frac": 0.6250909813,
"autogenerated": false,
"ratio": 2.8275023386342375,
"config_tes... |
""" An oauthlib.oauth2 request valditator for Vumi Go.
"""
from oauthlib.oauth2 import RequestValidator, WebApplicationServer
class StaticAuthValidator(RequestValidator):
""" An oauthlib.oauth2 request validator.
A validator built on top of a dictionary of access tokens.
:param dict auth_store:
... | {
"repo_name": "praekelt/go-auth",
"path": "go_auth/validator.py",
"copies": "1",
"size": "3068",
"license": "bsd-3-clause",
"hash": 8799157789749055000,
"line_mean": 34.2643678161,
"line_max": 79,
"alpha_frac": 0.6261408083,
"autogenerated": false,
"ratio": 4.382857142857143,
"config_test": fal... |
#An object can be a class, id, element, etc, or the contents such as background-color, width, etc.
import Variable
import Error
# processObject parses .syn file contents into a list. The parameter string is one of the lines from the .syn file
global prevString
global prevName
global elements
global element
prevSt... | {
"repo_name": "Wezro/Syntax",
"path": "src/Objects.py",
"copies": "1",
"size": "4676",
"license": "mit",
"hash": -6505067442664966000,
"line_mean": 37.6446280992,
"line_max": 196,
"alpha_frac": 0.6755774166,
"autogenerated": false,
"ratio": 4.2202166064981945,
"config_test": false,
"has_no_ke... |
"""An object-local variable management scheme."""
# Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/l... | {
"repo_name": "apark263/tensorflow",
"path": "tensorflow/python/training/checkpointable/base.py",
"copies": "2",
"size": "36593",
"license": "apache-2.0",
"hash": -7203584268363516000,
"line_mean": 41.6491841492,
"line_max": 112,
"alpha_frac": 0.6970458831,
"autogenerated": false,
"ratio": 4.4625... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
# netrc.py copied from python 2.7.3 source code, modified to call
# str instead of repr for serializing the netrc file
# and pep8 modification
import os
import shlex
__all__ = ["netrc", "NetrcParseError"]
... | {
"repo_name": "wercker/wercker-cli",
"path": "werckercli/netrc.py",
"copies": "1",
"size": "4558",
"license": "mit",
"hash": -8761095514677393000,
"line_mean": 34.3333333333,
"line_max": 77,
"alpha_frac": 0.4460289601,
"autogenerated": false,
"ratio": 4.473012757605495,
"config_test": false,
... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
from __future__ import with_statement
import os, shlex
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
def __in... | {
"repo_name": "liangazhou/django-rdp",
"path": "packages/eclipse/plugins/org.python.pydev.jython_4.4.0.201510052309/Lib/netrc.py",
"copies": "11",
"size": "4372",
"license": "apache-2.0",
"hash": -3521046479452475000,
"line_mean": 35.7394957983,
"line_max": 80,
"alpha_frac": 0.4590576395,
"autogene... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import io, os, shlex
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
def __init__(self, msg, filename=None, lin... | {
"repo_name": "rockyzhang/zhangyanhit-python-for-android-mips",
"path": "python3-alpha/python3-src/Lib/netrc.py",
"copies": "54",
"size": "4462",
"license": "apache-2.0",
"hash": 2974576033136968700,
"line_mean": 36.1833333333,
"line_max": 80,
"alpha_frac": 0.4594352308,
"autogenerated": false,
"... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import os, shlex
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
def __init__(self, msg, filename=None, lineno=... | {
"repo_name": "MalloyPower/parsing-python",
"path": "front-end/testsuite-python-lib/Python-3.2/Lib/netrc.py",
"copies": "1",
"size": "4335",
"license": "mit",
"hash": 6075586930331784000,
"line_mean": 35.7372881356,
"line_max": 80,
"alpha_frac": 0.4562860438,
"autogenerated": false,
"ratio": 4.36... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import os, shlex, stat
if os.name == 'posix':
import pwd
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
de... | {
"repo_name": "timm/timmnix",
"path": "pypy3-v5.5.0-linux64/lib-python/3/netrc.py",
"copies": "2",
"size": "5747",
"license": "mit",
"hash": 372927955630068740,
"line_mean": 39.1888111888,
"line_max": 80,
"alpha_frac": 0.4402296851,
"autogenerated": false,
"ratio": 4.532334384858044,
"config_te... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import os, shlex, stat
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
def __init__(self, msg, filename=None, l... | {
"repo_name": "batermj/algorithm-challenger",
"path": "code-analysis/programming_anguage/python/source_codes/Python3.8.0/Python-3.8.0/Lib/netrc.py",
"copies": "34",
"size": "5566",
"license": "apache-2.0",
"hash": -6009561102566695000,
"line_mean": 39.0431654676,
"line_max": 80,
"alpha_frac": 0.43801... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import os, stat, shlex
if os.name == 'posix':
import pwd
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
de... | {
"repo_name": "cloudfoundry/php-buildpack-legacy",
"path": "builds/runtimes/python-2.7.6/lib/python2.7/netrc.py",
"copies": "71",
"size": "5865",
"license": "mit",
"hash": -7070861124604151000,
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"line_max": 80,
"alpha_frac": 0.441943734,
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"ratio":... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import os, shlex
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc file."""
def __init__(self, msg, filename=No... | {
"repo_name": "babyliynfg/cross",
"path": "tools/project-creator/Python2.6.6/Lib/netrc.py",
"copies": "10",
"size": "4222",
"license": "mit",
"hash": 2222925342219004400,
"line_mean": 36.036036036,
"line_max": 80,
"alpha_frac": 0.4445760303,
"autogenerated": false,
"ratio": 4.4867162592986185,
... |
"""An object-oriented interface to .netrc files."""
# Module and documentation by Eric S. Raymond, 21 Dec 1998
import os, stat, shlex
if os.name == 'posix':
import pwd
__all__ = ["netrc", "NetrcParseError"]
class NetrcParseError(Exception):
"""Exception raised on syntax errors in the .netrc fil... | {
"repo_name": "Jeff-Tian/mybnb",
"path": "Python27/Lib/netrc.py",
"copies": "3",
"size": "6010",
"license": "apache-2.0",
"hash": -1610442442750848000,
"line_mean": 39.4482758621,
"line_max": 80,
"alpha_frac": 0.431281198,
"autogenerated": false,
"ratio": 4.619523443504996,
"config_test": false... |
# An object oriented model of a circuit.
from cvxpy import *
import abc
class Node(object):
""" A node connecting devices. """
def __init__(self):
self.voltage = Variable()
self.current_flows = []
# The current entering a node equals the current leaving the node.
def constraints(self):... | {
"repo_name": "riadnassiffe/Simulator",
"path": "src/tools/ecos/cvxpy/examples/advanced/circuits.py",
"copies": "12",
"size": "3057",
"license": "mit",
"hash": 8882112684060921000,
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"line_max": 80,
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"autogenerated": false,
"ratio": 3.6742788461538463,... |
"""An object oriented processor to ingest csv, json and excel files."""
# Design considerations
# ---------------------
#
# This processor is a replacement for the `stream_from_path` processor,
# whose functional approach became somewhat unreadable and brittle to changes.
# This new object oriented approach should imp... | {
"repo_name": "Victordeleon/os-data-importers",
"path": "eu-structural-funds/common/processors/ingest_local_file.py",
"copies": "1",
"size": "11570",
"license": "mit",
"hash": 8253615151956443000,
"line_mean": 30.4402173913,
"line_max": 83,
"alpha_frac": 0.5866032844,
"autogenerated": false,
"rat... |
"""An object-oriented wrapper around RPi.GPIO"""
import RPi.GPIO as GPIO
import gpiocrust.edges as edges
from gpiocrust.pin_mode import PinMode
_edge_to_rpi_edge = {
edges.RISING: GPIO.RISING,
edges.FALLING: GPIO.FALLING,
edges.BOTH: GPIO.BOTH,
}
_pinmode_to_rpi_mode = {
PinMode.BCM: GPIO.BCM,
Pi... | {
"repo_name": "zourtney/gpiocrust",
"path": "gpiocrust/raspberry_pi.py",
"copies": "1",
"size": "4103",
"license": "mit",
"hash": 6270946800015393000,
"line_mean": 25.8169934641,
"line_max": 99,
"alpha_frac": 0.60272971,
"autogenerated": false,
"ratio": 3.709764918625678,
"config_test": false,
... |
# An object that wraps the PShape.
class Wiggler(object):
def __init__(self):
# For 2D Perlin noise
self.yoff = 0
# Its location
self.x = width / 2
self.y = height / 2
# The "original" locations of the vertices make up a circle.
# We are using a list to keep ... | {
"repo_name": "mashrin/processing.py",
"path": "mode/examples/Topics/Create Shapes/WigglePShape/wiggler.py",
"copies": "2",
"size": "1665",
"license": "apache-2.0",
"hash": 5550498217108037000,
"line_mean": 31.6470588235,
"line_max": 74,
"alpha_frac": 0.5261261261,
"autogenerated": false,
"ratio"... |
"""An object to represent arc records
http://archive.org/web/researcher/ArcFileFormat.php
"""
import re
from hanzo.warctools.record import ArchiveRecord, ArchiveParser
from hanzo.warctools.archive_detect import register_record_type
# URL<sp>IP-address<sp>Archive-date<sp>Content-type<sp>
#Result-code<sp>Checksum<sp>L... | {
"repo_name": "internetarchive/warctools",
"path": "hanzo/warctools/arc.py",
"copies": "1",
"size": "6499",
"license": "mit",
"hash": 4692719745122951000,
"line_mean": 31.9898477157,
"line_max": 95,
"alpha_frac": 0.5753192799,
"autogenerated": false,
"ratio": 4.064415259537211,
"config_test": f... |
"""An object to represent arc records"""
import re
from hanzo.warctools.record import ArchiveRecord, ArchiveParser
from hanzo.warctools.archive_detect import register_record_type
# URL<sp>IP-address<sp>Archive-date<sp>Content-type<sp>
#Result-code<sp>Checksum<sp>Location<sp> Offset<sp>Filename<sp>
#Archive-length<nl... | {
"repo_name": "alard/warctozip",
"path": "hanzo/warctools/arc.py",
"copies": "1",
"size": "6341",
"license": "mit",
"hash": -3359917911969275400,
"line_mean": 31.6855670103,
"line_max": 77,
"alpha_frac": 0.563948904,
"autogenerated": false,
"ratio": 4.298983050847458,
"config_test": false,
"h... |
"""An object to represent warc records, using the abstract record in
record.py"""
import re
import hashlib
from hanzo.warctools.record import ArchiveRecord, ArchiveParser
from hanzo.warctools.archive_detect import register_record_type
import uuid
bad_lines = 5 # when to give up looking for the version stamp
@Archiv... | {
"repo_name": "internetarchive/warctools",
"path": "hanzo/warctools/warc.py",
"copies": "1",
"size": "11905",
"license": "mit",
"hash": 4394548616748940300,
"line_mean": 31.6164383562,
"line_max": 106,
"alpha_frac": 0.5495170097,
"autogenerated": false,
"ratio": 3.8829093281148075,
"config_test... |
"""An observer keeping track of running average positions of atoms.
"""
from asap3.Internal.Subject import Subject
class RunningAverage:
"""Calculate running average positions of atoms.
Attach this observer to the atoms to make average positions available
e.g. for CNA analysis. The filter is called... | {
"repo_name": "auag92/n2dm",
"path": "Asap-3.8.4/Python/asap3/analysis/averagepositions.py",
"copies": "1",
"size": "6218",
"license": "mit",
"hash": -7141423477147109000,
"line_mean": 40.4533333333,
"line_max": 95,
"alpha_frac": 0.6383081377,
"autogenerated": false,
"ratio": 4.273539518900344,
... |
"""A node, and related classes, for use in expression trees."""
import itertools
from collections import deque
from tt.definitions import (
MAX_OPERATOR_STR_LEN,
OPERATOR_MAPPING,
SYMBOLIC_OPERATOR_MAPPING,
TT_AND_OP,
TT_IMPL_OP,
TT_NAND_OP,
TT_NOR_OP,
TT_NOT_OP,
TT_OR_OP,
TT_... | {
"repo_name": "welchbj/tt",
"path": "tt/trees/tree_node.py",
"copies": "1",
"size": "41273",
"license": "mit",
"hash": 1425965594857478700,
"line_mean": 35.2361720808,
"line_max": 79,
"alpha_frac": 0.5726019432,
"autogenerated": false,
"ratio": 4.4475215517241375,
"config_test": false,
"has_n... |
# >> a = Node.append(None, 2)
# >> a = Node.prepend(a, 1)
# >> print a
# [ 1 2 ]
# >> b = Node.generateSequence(5)
# >> print b
# [ 1 2 3 4 5 ]
class Node:
def __init__(self, value):
if value <= 0:
self.value = 0
self.next = None
@staticmethod
def generateSe... | {
"repo_name": "bourneagain/pythonBytes",
"path": "whatsapp_interview1.py",
"copies": "1",
"size": "1231",
"license": "mit",
"hash": 2247321914042706200,
"line_mean": 18.234375,
"line_max": 42,
"alpha_frac": 0.4281072299,
"autogenerated": false,
"ratio": 4.117056856187291,
"config_test": false,
... |
# anodi
from backports import inspect
empty = inspect.Signature.empty
def returns (annotation):
"""
Decorator to add ``annotation`` to ``func``'s ``return``
annotation, as though it were a Python 3 ``-> ...`` annotation.
>>> from anodi import returns
>>> @returns(int)
... def examp... | {
"repo_name": "agoraplex/anodi",
"path": "anodi/__init__.py",
"copies": "1",
"size": "3973",
"license": "bsd-3-clause",
"hash": 3316148378849363000,
"line_mean": 33.850877193,
"line_max": 70,
"alpha_frac": 0.5766423358,
"autogenerated": false,
"ratio": 4.545766590389016,
"config_test": false,
... |
"""An offshore wind farm model
@moduleauthor:: Juan P. Murcia <jumu@dtu.dk>
"""
import numpy as np
MATPLOTLIB = True
try:
import matplotlib.pyplot as plt
except Exception as e:
MATPLOTLIB = False
print("WARNING: Matplotlib isn't installed correctly:", e)
from .WindTurbine import WindTurbineDICT
from wind... | {
"repo_name": "DTUWindEnergy/FUSED-Wake",
"path": "fusedwake/WindFarm.py",
"copies": "1",
"size": "8900",
"license": "mit",
"hash": 2069431523932385500,
"line_mean": 32.8403041825,
"line_max": 142,
"alpha_frac": 0.5308988764,
"autogenerated": false,
"ratio": 3.4711388455538223,
"config_test": f... |
"""An offshore wind farm model
@moduleauthor:: Juan P. Murcia <jumu@dtu.dk>
"""
import numpy as np
try:
import scipy as sp
from scipy.interpolate import interp1d as interpolator
except Exception as e:
print(e.message)
# from scipy.interpolate import pchipInterpolator as interpolator
class WindTurbine(obj... | {
"repo_name": "DTUWindEnergy/FUSED-Wake",
"path": "fusedwake/WindTurbine.py",
"copies": "1",
"size": "7224",
"license": "mit",
"hash": -5740627513500712000,
"line_mean": 29.1,
"line_max": 95,
"alpha_frac": 0.5150885936,
"autogenerated": false,
"ratio": 3.4630872483221475,
"config_test": false,
... |
# An old-skool scrolling game for the BBC microbit.
# You are in a spaceship decending to the surface of an unknown a planet. Use the buttons to manoeuvre left and
# right to avoid the accumulated space junk that is suspended in orbit around he planet.
# Your spaceship is the bright dot on the top line of the display. ... | {
"repo_name": "burrowsa/microbit-projects",
"path": "descender.py",
"copies": "1",
"size": "3293",
"license": "bsd-2-clause",
"hash": 6301568811550781000,
"line_mean": 28.1415929204,
"line_max": 111,
"alpha_frac": 0.6061342241,
"autogenerated": false,
"ratio": 3.2189638318670575,
"config_test":... |
# An old version of OpenAI Gym's multi_discrete.py. (Was getting affected by Gym updates)
# (https://github.com/openai/gym/blob/1fb81d4e3fb780ccf77fec731287ba07da35eb84/gym/spaces/multi_discrete.py)
import numpy as np
import gym
from gym.spaces import prng
class MultiDiscrete(gym.Space):
"""
- The multi-disc... | {
"repo_name": "openai/multiagent-particle-envs",
"path": "multiagent/multi_discrete.py",
"copies": "1",
"size": "2344",
"license": "mit",
"hash": -6337018165133105000,
"line_mean": 52.2954545455,
"line_max": 122,
"alpha_frac": 0.6616894198,
"autogenerated": false,
"ratio": 3.3014084507042254,
"... |
# An OLE file format parser
import os
import struct
import logging
import datetime
PIDSI = {'PIDSI_CODEPAGE':0x01, 'PIDSI_TITLE':0x02, 'PIDSI_SUBJECT':0x03, 'PIDSI_AUTHOR':0x04, 'PIDSI_KEYWORDS':0x05,
'PIDSI_COMMENTS':0x06, 'PIDSI_TEMPLATE':0x07, 'PIDSI_LASTAUTHOR':0x08, 'PIDSI_REVNUMBER':0x09, 'PIDSI_EDITTI... | {
"repo_name": "z3r0zh0u/pyole",
"path": "pyole.py",
"copies": "1",
"size": "60571",
"license": "mit",
"hash": -3830707903068870700,
"line_mean": 51.1265060241,
"line_max": 166,
"alpha_frac": 0.592247115,
"autogenerated": false,
"ratio": 3.4854989066635977,
"config_test": false,
"has_no_keywor... |
# An O(long(n)) algorithm that finds an element in a increasingly
# sorted array of n integers that has been rotated an unknown number
# of times.
def _search_rotated(array, left, right, val):
if left > right:
return None
mid = left + ((right - left) // 2)
if array[mid] == val:
retu... | {
"repo_name": "sookoor/PythonInterviewPrep",
"path": "search_rotated.py",
"copies": "1",
"size": "1479",
"license": "mit",
"hash": 424233974785261000,
"line_mean": 28,
"line_max": 68,
"alpha_frac": 0.5767410412,
"autogenerated": false,
"ratio": 3.279379157427938,
"config_test": false,
"has_no... |
"""a non-blocking, non-threaded non-multiprocessing circuits web server"""
import time #timestamping images
import datetime #showing human readable time on render page
import os
import rexviewer as r
import naali
try:
import circuits
except ImportError: #not running within the viewer, but testing outside it
... | {
"repo_name": "antont/tundra",
"path": "src/Application/PythonScriptModule/pymodules_old/webserver/webcontroller.py",
"copies": "1",
"size": "5782",
"license": "apache-2.0",
"hash": 2955411507951660000,
"line_mean": 29.9197860963,
"line_max": 126,
"alpha_frac": 0.5921826358,
"autogenerated": false,... |
_A=None
from ._compat import filename_to_ui,get_text_stderr
from .utils import echo
def _join_param_hints(param_hint):
A=param_hint
if isinstance(A,(tuple,list)):return ' / '.join((repr(B)for B in A))
return A
class ClickException(Exception):
exit_code=1
def __init__(B,message):A=message;super().__init__(A);B.mess... | {
"repo_name": "rochacbruno/dynaconf",
"path": "dynaconf/vendor/click/exceptions.py",
"copies": "1",
"size": "3297",
"license": "mit",
"hash": -259015208080167700,
"line_mean": 42.3947368421,
"line_max": 149,
"alpha_frac": 0.6803154383,
"autogenerated": false,
"ratio": 2.50531914893617,
"config_... |
anon = lambda a, c={'key':
555}, e=fff: None
anon : source.python
: source.python
= : keyword.operator.assignment.python, source.python
: source.python
lambda : meta.lambda-function.python, source.python, storage.type.function.... | {
"repo_name": "MagicStack/MagicPython",
"path": "test/functions/lambda7.py",
"copies": "1",
"size": "3115",
"license": "mit",
"hash": 7420631232700205000,
"line_mean": 90.6176470588,
"line_max": 171,
"alpha_frac": 0.713964687,
"autogenerated": false,
"ratio": 4.14780292942743,
"config_test": fa... |
#An online JavaScript program with all function dependencies: http://jsfiddle.net/JPnAF/9/
#print([1,1,1,2,3][0:5])
#This thing is implemented!
def getArrayFromFunctionComment(theComment):
theComment = theComment[len("requires functions: "):len(theComment)]
return theComment.split(", ")
#print getArrayFromFunct... | {
"repo_name": "jarble/EngScript",
"path": "libraries/functionChecker.py",
"copies": "2",
"size": "4234",
"license": "mit",
"hash": 8099253121670752000,
"line_mean": 30.362962963,
"line_max": 103,
"alpha_frac": 0.7522437411,
"autogenerated": false,
"ratio": 3.4962840627580514,
"config_test": fal... |
# An online retailer sells two products: widgets and gizmos. Each widget weighs 75
# grams. Each gizmo weighs 112 grams. Write a program that reads the number of
# widgets and the number of gizmos in an order from the user. Then your program
# should compute and display the total weight of the order.
import collection... | {
"repo_name": "devak23/python",
"path": "python_workbook/ch01/p08_widgets_and_gizmos.py",
"copies": "1",
"size": "1421",
"license": "mit",
"hash": -7046759879465662000,
"line_mean": 31.2954545455,
"line_max": 85,
"alpha_frac": 0.6256157635,
"autogenerated": false,
"ratio": 3.779255319148936,
"c... |
# An O(n log n) comparison-based sorting algorithm.
# Most implementations produce a stable sort, which means that the
# implementation preserves the input order of equal elements
# in the sorted output.
# Mergesort is a divide and conquer algorithm
# Conceptually, a merge sort works as follows:
# 1) Divide the unsort... | {
"repo_name": "pepincho/Python101-and-Algo1-Courses",
"path": "Algo-1/week1/5-Sorting-Python/merge_sort.py",
"copies": "2",
"size": "2188",
"license": "mit",
"hash": 132190013410671970,
"line_mean": 30.2285714286,
"line_max": 106,
"alpha_frac": 0.6043000915,
"autogenerated": false,
"ratio": 3.743... |
# a non-reconfigurable simulation that always goes to overflow
from binreconfiguration.simulator.nonreconfigurable import Overflow
from binreconfiguration.simulator.repeater import Repeater
# the strategy we are going to use (FirstFit consider the bins always in the same
# order and select the first with enough room t... | {
"repo_name": "vialette/binreconfiguration",
"path": "essai.py",
"copies": "2",
"size": "6079",
"license": "mit",
"hash": 2491312953769495600,
"line_mean": 39.7986577181,
"line_max": 94,
"alpha_frac": 0.7226517519,
"autogenerated": false,
"ratio": 3.657641395908544,
"config_test": true,
"has_... |
''' anonymise the data module.
functions:
master: selects the type of anonymisation to be performed on the data
'''
# import csv
import timeit
from . import k_anonymity
def master(start_dataframe, nums, kmin, save_to_file, anonym_file, logger):
'''
perform simple K-anonymity for now. Random generation of... | {
"repo_name": "GeorgeManakanatas/PPDM",
"path": "data_anonym_methods/anonymise_the_data.py",
"copies": "1",
"size": "1793",
"license": "mit",
"hash": -7723579837792312000,
"line_mean": 35.5918367347,
"line_max": 82,
"alpha_frac": 0.648633575,
"autogenerated": false,
"ratio": 3.906318082788671,
... |
"""Anonymize ip addresses
Revision ID: 414d69d7ee76
Revises: 58abc4899824
Create Date: 2020-01-27 20:54:54.304630
"""
# revision identifiers, used by Alembic.
revision = '414d69d7ee76'
down_revision = '58abc4899824'
import ipaddress
from alembic import op
import sqlalchemy as sa
import sqlalchemy.sql as sql
metad... | {
"repo_name": "go-lab/labmanager",
"path": "alembic/versions/414d69d7ee76_anonymize_ip_addresses.py",
"copies": "4",
"size": "2049",
"license": "bsd-2-clause",
"hash": -220701855457583200,
"line_mean": 30.0454545455,
"line_max": 120,
"alpha_frac": 0.6583699366,
"autogenerated": false,
"ratio": 3.... |
"""Anonymize MBDS messages in HL7 2.5 format
NB - MBDS (Minimum Biosurveillance Data Set) messages are mostly
scrubbed, this is almost certainly NOT adequate to protect a generic
HL7 2.5 message.
"""
import argparse
import hl7
import sys
from pheme.anonymize.alter import anon_term
from pheme.anonymize.field_map impo... | {
"repo_name": "pbugni/pheme.anonymize",
"path": "pheme/anonymize/mbds_hl7.py",
"copies": "1",
"size": "3312",
"license": "bsd-3-clause",
"hash": -5713788442162762000,
"line_mean": 32.7959183673,
"line_max": 78,
"alpha_frac": 0.5818236715,
"autogenerated": false,
"ratio": 3.942857142857143,
"con... |
# anonymize.py
"""Read a dicom file (or directory of files), partially "anonymize" it (them),
by replacing Person names, patient id, optionally remove curves
and private tags, and write result to a new file (directory)
This is an example only; use only as a starting point.
"""
# Carlo Mancini script made starting from:... | {
"repo_name": "carlomt/dicom_tools",
"path": "dicom_tools/anonymize.py",
"copies": "1",
"size": "5068",
"license": "mit",
"hash": 3369397908102993400,
"line_mean": 37.1052631579,
"line_max": 94,
"alpha_frac": 0.6387134964,
"autogenerated": false,
"ratio": 3.7596439169139466,
"config_test": fals... |
"""Anonymize static database data from YAML formatted file
"""
import argparse
import sys
import yaml
from pheme.anonymize.alter import anon_term
from pheme.anonymize.field_map import anon_map
from pheme.longitudinal.static_data import SUPPORTED_DAOS
from pheme.longitudinal.static_data import obj_repr, obj_loader
imp... | {
"repo_name": "pbugni/pheme.anonymize",
"path": "pheme/anonymize/db_static_data.py",
"copies": "1",
"size": "2468",
"license": "bsd-3-clause",
"hash": -4979112238857900000,
"line_mean": 32.3513513514,
"line_max": 74,
"alpha_frac": 0.6507293355,
"autogenerated": false,
"ratio": 3.5924308588064044,... |
# An OOP approach to representing and manipulating matrices
class Matrix:
"""
Matrix object generated from a 2D array where each element is an array representing
a row.
Rows can contain type int or float.
Common operations and information available.
>>> rows = [
... [1, 2, 3]... | {
"repo_name": "TheAlgorithms/Python",
"path": "matrix/matrix_class.py",
"copies": "1",
"size": "10980",
"license": "mit",
"hash": 2074273543741627000,
"line_mean": 28.6703910615,
"line_max": 87,
"alpha_frac": 0.4786885246,
"autogenerated": false,
"ratio": 3.946800862688713,
"config_test": false... |
##An OO python client for the frame_protocol_firmware.ino firmware.
##Supports four operations:
## setColor-- Sets all LEDS to a single color.
## setColors-- Pass an array of color values to set all LEDs individually.
## setBrightness-- Set the strip's brightness. (Blinkytape supports 0 through 93)
## reset... | {
"repo_name": "Nentuaby/blinkytape-advanced-protocol",
"path": "frame_protocol_client/BlinkyTape_3.py",
"copies": "1",
"size": "4123",
"license": "mit",
"hash": -1197683900212557800,
"line_mean": 37.5327102804,
"line_max": 110,
"alpha_frac": 0.6228474412,
"autogenerated": false,
"ratio": 3.532990... |
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