text stringlengths 0 1.05M | meta dict |
|---|---|
"""A module to provide decorators which change methods"""
from six import StringIO
def _represent_arguments(*arguments, **keyword_arguments):
"""Represent the aruments in a form suitable as a key (hashable)
And which will be recognisable to user in error messages
>>> print(_represent_arguments([1, 2], *... | {
"repo_name": "jalanb/dotsite",
"path": "pysyte/decorators.py",
"copies": "1",
"size": "4433",
"license": "mit",
"hash": 8335084232060323000,
"line_mean": 30.2183098592,
"line_max": 113,
"alpha_frac": 0.6050078953,
"autogenerated": false,
"ratio": 4.08195211786372,
"config_test": true,
"has_n... |
"""A module to read input files.
"""
from dmrg_helpers.core.dmrg_exceptions import DMRGException
from dmrg_helpers.core.dmrg_logging import logger
from collections import Iterable
class InputFileReader(object):
"""A class to read input file data and extract parameter info.
Parameters
----------
wa... | {
"repo_name": "iglpdc/dmrg_helpers",
"path": "dmrg_helpers/extract/input_file_reader.py",
"copies": "1",
"size": "5321",
"license": "mit",
"hash": -2311839348766401000,
"line_mean": 36.4718309859,
"line_max": 79,
"alpha_frac": 0.5782747604,
"autogenerated": false,
"ratio": 4.163536776212832,
"c... |
"""A module to receive data from UR CB2 robots."""
# The MIT License (MIT)
#
# Copyright (c) 2016 GTRC.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including witho... | {
"repo_name": "IRIM-Technology-Transition-Lab/ur_cb2",
"path": "ur_cb2/receive/cb2_receive.py",
"copies": "1",
"size": "19023",
"license": "mit",
"hash": -9197845572874843000,
"line_mean": 43.76,
"line_max": 80,
"alpha_frac": 0.5854491931,
"autogenerated": false,
"ratio": 4.433232346772314,
"co... |
"""A module to retrieve astro data from Hong Kong Observatory"""
import json
import requests
import xmltodict
BASE_URL = 'http://pda.weather.gov.hk/'
URL_UC = 'locspc/android_data/earthquake/eq_app_uc.xml'
URL_EN = 'locspc/android_data/earthquake/eq_app_e.xml'
def earthquake(lang='UC'):
"""A function to retr... | {
"repo_name": "nhho/hko",
"path": "hko/earthquake.py",
"copies": "2",
"size": "1088",
"license": "mit",
"hash": -4383841921384452000,
"line_mean": 27.6315789474,
"line_max": 70,
"alpha_frac": 0.5643382353,
"autogenerated": false,
"ratio": 3.651006711409396,
"config_test": false,
"has_no_keywo... |
"""A module to retrieve local weather data from Hong Kong Observatory"""
import json
import pkg_resources
from operator import itemgetter
import requests
from hko.distance_calculation import distance_calculation
with open(pkg_resources.resource_filename(__name__, 'assets/grid_location.json')) as f:
GRID = json... | {
"repo_name": "slgphantom/hko",
"path": "hko/local_weather.py",
"copies": "2",
"size": "1650",
"license": "mit",
"hash": -6523315131180840000,
"line_mean": 32.6734693878,
"line_max": 87,
"alpha_frac": 0.5648484848,
"autogenerated": false,
"ratio": 4.034229828850855,
"config_test": false,
"has... |
"""A module to retrieve major cities weather forecast data from Hong Kong Observatory"""
import requests
BASE_URL = 'http://pda.weather.gov.hk/'
URL_ASIA_UC = 'locspc/android_data/asis_wwic.xml'
URL_ASIA_EN = 'locspc/android_data/asis_wwi.xml'
URL_AFRICA_UC = 'locspc/android_data/africa_wwic.xml'
URL_AFRICA_EN = 'lo... | {
"repo_name": "slgphantom/hko",
"path": "hko/major_city_forecast.py",
"copies": "2",
"size": "6125",
"license": "mit",
"hash": 8040165586452866000,
"line_mean": 31.579787234,
"line_max": 100,
"alpha_frac": 0.6011428571,
"autogenerated": false,
"ratio": 3.2001044932079417,
"config_test": false,
... |
"""A module to retrieve rainfall nowcast data from Hong Kong Observatory"""
import json
import pkg_resources
import re
from operator import itemgetter
import requests
from hko.distance_calculation import distance_calculation
with open(pkg_resources.resource_filename(__name__, 'assets/rainfall_nowcast_mapping.json'... | {
"repo_name": "slgphantom/hko",
"path": "hko/rainfall_nowcast.py",
"copies": "2",
"size": "2226",
"license": "mit",
"hash": 6319064540505614000,
"line_mean": 36.7288135593,
"line_max": 100,
"alpha_frac": 0.5615453729,
"autogenerated": false,
"ratio": 3.483568075117371,
"config_test": false,
"... |
"""A module to retrieve serval days weather forecast data from Hong Kong Observatory"""
import json
import requests
BASE_URL = 'http://pda.weather.gov.hk/'
URL_UC = 'locspc/android_data/fnd_uc.xml'
URL_EN = 'locspc/android_data/fnd_e.xml'
def serval_days_weather_forecast(lang='UC'):
"""A function to retrieve... | {
"repo_name": "slgphantom/hko",
"path": "hko/serval_days_weather_forecast.py",
"copies": "2",
"size": "1042",
"license": "mit",
"hash": 1325616572586007800,
"line_mean": 28.7714285714,
"line_max": 93,
"alpha_frac": 0.5777351248,
"autogenerated": false,
"ratio": 3.789090909090909,
"config_test":... |
"""A module to retrieve serval days weather forecast data from Hong Kong Observatory"""
import json
import requests
BASE_URL = 'http://pda.weather.gov.hk/'
URL_UC = 'locspc/android_data/sccw_json_uc.xml'
URL_EN = 'locspc/android_data/sccw_json.xml'
def south_china_coastal_waters(lang='UC'):
"""A function to ... | {
"repo_name": "nhho/hko",
"path": "hko/south_china_coastal_waters.py",
"copies": "2",
"size": "1050",
"license": "mit",
"hash": 8802484427759201000,
"line_mean": 29,
"line_max": 93,
"alpha_frac": 0.58,
"autogenerated": false,
"ratio": 3.736654804270463,
"config_test": false,
"has_no_keywords"... |
"""A module to retrieve tide data from Hong Kong Observatory"""
import re
import requests
BASE_URL = 'http://pda.weather.gov.hk/'
URL = 'locspc/android_data/astro_tide.xml'
def tide():
"""A function to retrieve tide data from Hong Kong Observatory"""
response = {}
try:
data = requests.get(BA... | {
"repo_name": "nhho/hko",
"path": "hko/tide.py",
"copies": "2",
"size": "1239",
"license": "mit",
"hash": -2916213204858627000,
"line_mean": 28.5,
"line_max": 69,
"alpha_frac": 0.5407586764,
"autogenerated": false,
"ratio": 3.1607142857142856,
"config_test": false,
"has_no_keywords": false,
... |
"""A module to retrieve weather warning data from Hong Kong Observatory"""
import json
import requests
BASE_URL = 'http://www.weather.gov.hk/'
URL_UC = 'wxinfo/json/warnsumc.xml'
URL_EN = 'wxinfo/json/warnsum.xml'
def weather_warning(lang='UC'):
"""A function to retrieve weather warning data from Hong Kong O... | {
"repo_name": "nhho/hko",
"path": "hko/weather_warning.py",
"copies": "2",
"size": "1053",
"license": "mit",
"hash": -331712446974401000,
"line_mean": 28.25,
"line_max": 99,
"alpha_frac": 0.5546058879,
"autogenerated": false,
"ratio": 3.8713235294117645,
"config_test": false,
"has_no_keywords... |
"""A module to send commands to a UR robot"""
# The MIT License (MIT)
#
# Copyright (c) 2016 GTRC.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without li... | {
"repo_name": "IRIM-Technology-Transition-Lab/ur_cb2",
"path": "ur_cb2/send/cb2_send.py",
"copies": "1",
"size": "26744",
"license": "mit",
"hash": -5875094746888046000,
"line_mean": 39.5212121212,
"line_max": 80,
"alpha_frac": 0.5746335627,
"autogenerated": false,
"ratio": 4.491770238495129,
"... |
"""A module to test the HKO package"""
import unittest
from hko import astro, blog, earthquake, local_weather, lunar_date,\
major_city_forecast, marine_forecast, rainfall_nowcast,\
regional_weather, serval_days_weather_forecast,\
south_china_coastal_waters, tide, uv_index, weather_warning
HONG_KONG_LAT_... | {
"repo_name": "slgphantom/hko",
"path": "tests/test_hko.py",
"copies": "2",
"size": "2342",
"license": "mit",
"hash": 2719038991160667600,
"line_mean": 37.393442623,
"line_max": 86,
"alpha_frac": 0.6187019641,
"autogenerated": false,
"ratio": 3.3457142857142856,
"config_test": true,
"has_no_k... |
"""A module to test whether doctest recognizes some 2.2 features,
like static and class methods.
>>> print('yup') # 1
yup
We include some (random) encoded (utf-8) text in the text surrounding
the example. It should be ignored:
ЉЊЈЁЂ
"""
import sys
import unittest
from test import support
if sys.flags.optimize >=... | {
"repo_name": "pleaseproject/python-for-android",
"path": "python3-alpha/python3-src/Lib/test/test_doctest2.py",
"copies": "194",
"size": "2359",
"license": "apache-2.0",
"hash": 1834643503480457700,
"line_mean": 18.0975609756,
"line_max": 73,
"alpha_frac": 0.4465730098,
"autogenerated": false,
"... |
"""A module to to gather metrics about the bootstrap process."""
from collections import OrderedDict
from sqlalchemy import and_
from sqlalchemy.orm import sessionmaker
from sqlalchemy import Boolean
from sqlalchemy import Column
from sqlalchemy import DateTime
from sqlalchemy import Integer
from sqlalchemy import Str... | {
"repo_name": "Victordeleon/os-data-importers",
"path": "eu-structural-funds/common/metrics.py",
"copies": "1",
"size": "2447",
"license": "mit",
"hash": 5612009688358135000,
"line_mean": 29.2098765432,
"line_max": 67,
"alpha_frac": 0.6518185533,
"autogenerated": false,
"ratio": 4.300527240773286... |
'''A module to visualize the underwater automata learning the best depth to
operate at.'''
import turtle
from lrp import Linear_Reward_Penalty as LRP
from mse import MSE
from environment import Environment
from pinger import Pinger
import numpy as np
# import tune_lrp as tune
import time
# setup window
window = tur... | {
"repo_name": "0xSteve/detection_learning",
"path": "P_model/Visualizations/UUAV_depth_finding/visualize.py",
"copies": "1",
"size": "4678",
"license": "apache-2.0",
"hash": 7208277316041361000,
"line_mean": 34.1729323308,
"line_max": 78,
"alpha_frac": 0.6250534416,
"autogenerated": false,
"ratio... |
"""a module to work with higher level transcript objects
"""
import sys, random, string, uuid
from collections import namedtuple
from seqtools.range import GenomicRange, Bed
from seqtools.range.multi import ranges_to_coverage, merge_ranges
from seqtools.sequence import rc
import seqtools.graph
from math import sqrt
fr... | {
"repo_name": "jason-weirather/py-seq-tools",
"path": "seqtools/structure/transcript/__init__.py",
"copies": "1",
"size": "23478",
"license": "apache-2.0",
"hash": 2354088479183599600,
"line_mean": 32.976845152,
"line_max": 254,
"alpha_frac": 0.6406423034,
"autogenerated": false,
"ratio": 3.38934... |
"""A module to work with slug generation."""
from mongoengine import *
import bson.objectid
import unicodedata
import re
from hashlib import sha1
from random import randint
from flask import redirect, abort
from functools import wraps
class Slug( Document):
"""Represents a slug in the database. Fields are:
... | {
"repo_name": "manasgarg/slugifier",
"path": "slugifier/slug.py",
"copies": "1",
"size": "5327",
"license": "bsd-3-clause",
"hash": 1705176678568670700,
"line_mean": 35.2380952381,
"line_max": 108,
"alpha_frac": 0.5860709593,
"autogenerated": false,
"ratio": 4.201104100946372,
"config_test": fa... |
"""A module used for downloading files."""
import hashlib
import os
import shutil
import subprocess as sp
import tempfile
from ftplib import FTP
import requests
from tqdm import tqdm
from .logger import geoparse_logger as logger
try:
from urlparse import urlparse
except ImportError:
from urllib.parse import ... | {
"repo_name": "guma44/GEOparse",
"path": "src/GEOparse/downloader.py",
"copies": "1",
"size": "8957",
"license": "bsd-3-clause",
"hash": 2915908222042761700,
"line_mean": 35.1169354839,
"line_max": 88,
"alpha_frac": 0.4924639946,
"autogenerated": false,
"ratio": 4.360759493670886,
"config_test"... |
""" A module which helps prevent eventual consistency issues on the Datastore. """
# SYSTEM
import logging
# 3RD PARTY
from django.conf import settings
from django.db import models
from django.dispatch import receiver
from google.appengine.datastore.datastore_rpc import BaseConnection
# CONSISTENCY
from .caches impo... | {
"repo_name": "adamalton/djangae-consistency",
"path": "consistency/consistency.py",
"copies": "1",
"size": "6066",
"license": "mit",
"hash": 37994077708953544,
"line_mean": 37.1509433962,
"line_max": 103,
"alpha_frac": 0.6516650181,
"autogenerated": false,
"ratio": 3.90096463022508,
"config_te... |
""" A module which helps prevent eventual consistency issues on the Datastore. """
# SYSTEM
import logging
# 3RD PARTY
from django.conf import settings
from google.appengine.datastore.datastore_rpc import BaseConnection
# CONSISTENCY
from djangae.contrib.consistency.caches import get_caches
DEFAULT_CONFIG = {
... | {
"repo_name": "kirberich/djangae",
"path": "djangae/contrib/consistency/consistency.py",
"copies": "11",
"size": "5910",
"license": "bsd-3-clause",
"hash": 4636768681652226000,
"line_mean": 36.4050632911,
"line_max": 103,
"alpha_frac": 0.6473773266,
"autogenerated": false,
"ratio": 3.900990099009... |
"""A module which implements Classical Least Squares Regression."""
from . import *
class CLS(RegressionBase):
"""Classical Least Squares Regression
The classical least squares regression approach is to initially swap the
roles of the X and Y variables, perform linear regression and then to
invert ... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/cls.py",
"copies": "1",
"size": "3530",
"license": "isc",
"hash": 1642314509265903000,
"line_mean": 41.0238095238,
"line_max": 78,
"alpha_frac": 0.5779036827,
"autogenerated": false,
"ratio": 4.479695431472082,
"config_test": false,
"... |
"""A module which implements goodness-of-fit statistics."""
try:
import scipy.stats
_stats_available = True
except ImportError:
_stats_available = False
from . import *
def SS(Y):
"""Implements the Sum of Squares
This function calculates the sum of the squared input data. The input
data is ... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/fitstats.py",
"copies": "1",
"size": "9732",
"license": "isc",
"hash": -3045243730217523700,
"line_mean": 34.2608695652,
"line_max": 78,
"alpha_frac": 0.6427250308,
"autogenerated": false,
"ratio": 3.962540716612378,
"config_test": fals... |
"""A module which implements kernel PLS."""
import random
from . import *
class Kernel_PLS(RegressionBase):
"""Non-linear Kernel PLS regression using the PLS2 algorithm
This class implements kernel PLS regression by transforming the input
X data into feature space by applying a kernel function between... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/kernel_pls.py",
"copies": "1",
"size": "7288",
"license": "isc",
"hash": 4389283295795383000,
"line_mean": 37.9732620321,
"line_max": 79,
"alpha_frac": 0.541712404,
"autogenerated": false,
"ratio": 4.017640573318633,
"config_test": fals... |
"""A module which implements Multiple Linear Regression."""
from . import *
class MLR(RegressionBase):
"""Multiple Linear Regression
Standard multiple linear regression assumes the relationship between the
variables (once the means have been subtracted to center both variables)
is Y = A X + E where... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/mlr.py",
"copies": "1",
"size": "2866",
"license": "isc",
"hash": -147947914718275170,
"line_mean": 38.2602739726,
"line_max": 78,
"alpha_frac": 0.5697836706,
"autogenerated": false,
"ratio": 4.607717041800643,
"config_test": false,
"... |
"""A module which implements Principal Component Regression."""
import random
from . import *
class PCR_NIPALS(RegressionBase):
"""Principal Components Regression using the NIPALS algorithm
PCR forms a set of new latent variables from the provided X data
samples which describe as much of the variance ... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/pcr.py",
"copies": "1",
"size": "11224",
"license": "isc",
"hash": -4381909593718865400,
"line_mean": 39.3741007194,
"line_max": 79,
"alpha_frac": 0.5892729865,
"autogenerated": false,
"ratio": 4.394675019577134,
"config_test": false,
... |
"""A module which implements the continuous wavelet transform
with complex Morlet wavelets.
Author : Alexandre Gramfort, alexandre.gramfort@telecom-paristech.fr (2011)
License : BSD 3-clause
inspired by Matlab code from Sheraz Khan & Brainstorm & SPM
"""
from math import sqrt
from copy import deepcopy
import numpy a... | {
"repo_name": "jaeilepp/eggie",
"path": "mne/time_frequency/tfr.py",
"copies": "1",
"size": "34411",
"license": "bsd-2-clause",
"hash": 2611984325535475700,
"line_mean": 36.5665938865,
"line_max": 79,
"alpha_frac": 0.5806282875,
"autogenerated": false,
"ratio": 3.8482442406620443,
"config_test"... |
"""A module which implements the Partial Least Squares 1 algorithm."""
from . import *
class PLS1(RegressionBase):
"""Regression using the PLS1 algorithm.
The PLS1 algorithm forms a set of new latent variables from the
provided X and Y data samples based on criteria that balance the need
to explain... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/pls1.py",
"copies": "1",
"size": "8404",
"license": "isc",
"hash": 4906481718369004000,
"line_mean": 40.603960396,
"line_max": 78,
"alpha_frac": 0.5211803903,
"autogenerated": false,
"ratio": 4.2877551020408164,
"config_test": false,
... |
"""A module which implements the Partial Least Squares 2 algorithm."""
import random
from . import *
class PLS2(RegressionBase):
"""Regression using the PLS2 algorithm.
The PLS2 algorithm forms a set of new latent variables from the
provided X and Y data samples based on criteria that balance the need... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/pls2.py",
"copies": "1",
"size": "8579",
"license": "isc",
"hash": -6395002917140847000,
"line_mean": 38.7175925926,
"line_max": 77,
"alpha_frac": 0.5340948829,
"autogenerated": false,
"ratio": 4.201273261508325,
"config_test": false,
... |
"""A module which implements the PLS-SB algorithm."""
from . import *
class PLS_SB(RegressionBase):
"""Regression using the PLS-SB algorithm.
The PLS-SB sets up the same mathematical problem as the PLS2 module,
but then formulates the convergence criteria as an eigenvalue problem
and solves it dire... | {
"repo_name": "jhumphry/regressions",
"path": "regressions/pls_sb.py",
"copies": "1",
"size": "5826",
"license": "isc",
"hash": -4710234365048718000,
"line_mean": 39.4583333333,
"line_max": 77,
"alpha_frac": 0.5449708205,
"autogenerated": false,
"ratio": 4.212581344902386,
"config_test": false,... |
"""A module which implements the time frequency estimation.
Authors : Alexandre Gramfort, alexandre.gramfort@telecom-paristech.fr
Hari Bharadwaj <hari@nmr.mgh.harvard.edu>
License : BSD 3-clause
Morlet code inspired by Matlab code from Sheraz Khan & Brainstorm & SPM
"""
import warnings
from math import sq... | {
"repo_name": "effigies/mne-python",
"path": "mne/time_frequency/tfr.py",
"copies": "1",
"size": "45989",
"license": "bsd-3-clause",
"hash": 6825717880582897000,
"line_mean": 36.665028665,
"line_max": 80,
"alpha_frac": 0.5754202092,
"autogenerated": false,
"ratio": 3.807666832256996,
"config_te... |
"""A module which implements the time frequency estimation.
Authors : Hari Bharadwaj <hari@nmr.mgh.harvard.edu>
License : BSD 3-clause
Multitaper wavelet method
"""
import warnings
from math import sqrt
import numpy as np
from scipy import linalg
from scipy.fftpack import fftn, ifftn
from .utils import logger, ver... | {
"repo_name": "lennyvarghese/ANLffr",
"path": "anlffr/tfr.py",
"copies": "2",
"size": "13583",
"license": "bsd-3-clause",
"hash": -142506642312031710,
"line_mean": 33.1281407035,
"line_max": 77,
"alpha_frac": 0.5743944637,
"autogenerated": false,
"ratio": 3.548328108672936,
"config_test": false... |
"""A module which implements the time-frequency estimation.
Morlet code inspired by Matlab code from Sheraz Khan & Brainstorm & SPM
"""
# Authors : Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Hari Bharadwaj <hari@nmr.mgh.harvard.edu>
# Clement Moutard <clement.moutard@polytechnique.org>
# ... | {
"repo_name": "Eric89GXL/mne-python",
"path": "mne/time_frequency/tfr.py",
"copies": "2",
"size": "96249",
"license": "bsd-3-clause",
"hash": 2373064867991649300,
"line_mean": 38.6412685338,
"line_max": 81,
"alpha_frac": 0.5660422446,
"autogenerated": false,
"ratio": 3.8558208476884865,
"config... |
"""A module which implements the time-frequency estimation.
Morlet code inspired by Matlab code from Sheraz Khan & Brainstorm & SPM
"""
# Authors : Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Hari Bharadwaj <hari@nmr.mgh.harvard.edu>
# Clement Moutard <clement.moutard@polytechniq... | {
"repo_name": "teonlamont/mne-python",
"path": "mne/time_frequency/tfr.py",
"copies": "2",
"size": "95190",
"license": "bsd-3-clause",
"hash": -3097065776452647000,
"line_mean": 39.1137800253,
"line_max": 81,
"alpha_frac": 0.5697132052,
"autogenerated": false,
"ratio": 3.9023490345590948,
"conf... |
"""A module which implements the time frequency estimation.
Morlet code inspired by Matlab code from Sheraz Khan & Brainstorm & SPM
"""
# Authors : Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
# Hari Bharadwaj <hari@nmr.mgh.harvard.edu>
# Clement Moutard <clement.moutard@polytechniq... | {
"repo_name": "wronk/mne-python",
"path": "mne/time_frequency/tfr.py",
"copies": "1",
"size": "57568",
"license": "bsd-3-clause",
"hash": -12549370799085928,
"line_mean": 37.7663299663,
"line_max": 79,
"alpha_frac": 0.5754585881,
"autogenerated": false,
"ratio": 3.8831703204047217,
"config_test... |
# A module which manages a queue of images to render in the background
# and a UI for the same
import copy
import gobject
import gtk
import gtkfractal
import dialog
import preferences
class QueueEntry:
def __init__(self, f, name, w, h):
self.f = f
self.name = name
self.w = w
sel... | {
"repo_name": "ericchill/gnofract4d",
"path": "fract4dgui/renderqueue.py",
"copies": "1",
"size": "5931",
"license": "bsd-3-clause",
"hash": 5025205982180082000,
"line_mean": 29.4153846154,
"line_max": 84,
"alpha_frac": 0.553532288,
"autogenerated": false,
"ratio": 3.725502512562814,
"config_te... |
'''A module which models finite state machines/automata.'''
from util.weighted_digraph import WeightedDigraph
import util.dot
class Automaton(WeightedDigraph):
'''An automaton where each state can have at most one transition per symbol
leading out of a state. The fact that there may be no transition on a
... | {
"repo_name": "bdusell/pycfg",
"path": "src/cfg/automaton.py",
"copies": "1",
"size": "2433",
"license": "mit",
"hash": 8230293499414346000,
"line_mean": 34.2608695652,
"line_max": 122,
"alpha_frac": 0.6214549938,
"autogenerated": false,
"ratio": 3.6586466165413536,
"config_test": false,
"has... |
"""A module with a few helpful diagnostic tools.
"""
import pandas as pd
def unique_summary(df, subset):
"""Given a dataframe and a subset of columns, print a summary of unique rows
:param df: The dataframe to inspect.
:type df: Dataframe.
:subset df: The subset of columns to consider.
:type df: ... | {
"repo_name": "dssg/homelessness-public",
"path": "diagnostics.py",
"copies": "2",
"size": "1677",
"license": "mit",
"hash": -3426860802498867700,
"line_mean": 28.9464285714,
"line_max": 121,
"alpha_frac": 0.6285032797,
"autogenerated": false,
"ratio": 3.5305263157894737,
"config_test": false,
... |
""" A module with classes for aggregation.
An Aggregator has two methods: process and finish.
process(group, val) is called to "add" val to the aggregation of the set of
values identified by the value of group. The value in group (which could be any
hashable type, also a tuple as ('A', 'B')) thus corresponds to the ... | {
"repo_name": "mattharrison/pygrametl",
"path": "pygrametl/aggregators.py",
"copies": "2",
"size": "4071",
"license": "bsd-2-clause",
"hash": -2168604232220288800,
"line_mean": 31.568,
"line_max": 80,
"alpha_frac": 0.663718988,
"autogenerated": false,
"ratio": 4.124620060790273,
"config_test": ... |
"""A module with classes for aggregation.
An Aggregator has two methods: process and finish.
process(group, val) is called to "add" val to the aggregation of the set of
values identified by the value of group. The value in group (which could be
any hashable type, also a tuple as ('A', 'B')) thus correspo... | {
"repo_name": "haleemur/pygrametl-python3",
"path": "pygrametl/aggregators.py",
"copies": "1",
"size": "4092",
"license": "bsd-2-clause",
"hash": -302535253796786370,
"line_mean": 32.5409836066,
"line_max": 80,
"alpha_frac": 0.6612903226,
"autogenerated": false,
"ratio": 4.158536585365853,
"con... |
"""A module with classes for aggregation.
An Aggregator has two methods: process and finish.
process(group, val) is called to "add" val to the aggregation of the set of
values identified by the value of group. The value in group (which could be
any hashable type, also a tuple as ('A', 'B')) thus correspond... | {
"repo_name": "jpercent/pygrametl",
"path": "pygrametl/aggregators.py",
"copies": "2",
"size": "4098",
"license": "bsd-2-clause",
"hash": -8389048834220121000,
"line_mean": 30.2824427481,
"line_max": 80,
"alpha_frac": 0.6603221083,
"autogenerated": false,
"ratio": 4.168870803662259,
"config_tes... |
"""A module with commonly- and uncommonly-used feature sets for modeling.
To be used primarily with :mod:`pipeline`.
"""
unused = ['ClientUniqueID',
'ClientID',
'HouseholdID',
'Head Of Household?',
'Relationship to HoH',
'Entry Exit GroupID',
'EntryID',
... | {
"repo_name": "math4youbyusgroupillinois/homelessness-public",
"path": "features.py",
"copies": "2",
"size": "7872",
"license": "mit",
"hash": -1727505506999504400,
"line_mean": 35.785046729,
"line_max": 113,
"alpha_frac": 0.5067327236,
"autogenerated": false,
"ratio": 4.057731958762886,
"confi... |
"""A module with functions to aid generating MCOE."""
import pandas as pd
import pudl
def heat_rate_by_unit(pudl_out):
"""
Calculate heat rates (mmBTU/MWh) within separable generation units.
Assumes a "good" Boiler Generator Association (bga) i.e. one that only
contains boilers and generators which ... | {
"repo_name": "catalyst-cooperative/pudl",
"path": "src/pudl/analysis/mcoe.py",
"copies": "1",
"size": "19422",
"license": "mit",
"hash": 6970634905143909000,
"line_mean": 45.5755395683,
"line_max": 79,
"alpha_frac": 0.5877355576,
"autogenerated": false,
"ratio": 3.63639767833739,
"config_test"... |
"""A module with functions to aid in data analysis using the PUDL database.
NOTE: Currently the functions here are for reference only. They are not
currently being tested and maintained, but are being retained because we are
working on similar things right now, and may update or re-purpose them.
"""
import logging
#... | {
"repo_name": "catalyst-cooperative/pudl",
"path": "src/pudl/analysis/analysis.py",
"copies": "1",
"size": "22581",
"license": "mit",
"hash": 3605611282541193000,
"line_mean": 38.7552816901,
"line_max": 79,
"alpha_frac": 0.6492626544,
"autogenerated": false,
"ratio": 3.1979889534060333,
"config... |
"""A module with platform-specific extended precision `numpy.number` subclasses.
The subclasses are defined here (instead of ``__init__.pyi``) such
that they can be imported conditionally via the numpy's mypy plugin.
"""
from typing import TYPE_CHECKING
import numpy as np
from . import (
_80Bit,
_96Bit,
... | {
"repo_name": "madphysicist/numpy",
"path": "numpy/typing/_extended_precision.py",
"copies": "4",
"size": "1243",
"license": "bsd-3-clause",
"hash": 6822020524361552000,
"line_mean": 28.5952380952,
"line_max": 80,
"alpha_frac": 0.7103781175,
"autogenerated": false,
"ratio": 3.872274143302181,
"... |
"""a module with some custom QtWidget Classes"""
from PyQt5 import QtWidgets, QtCore, QtGui
class MdiArea(QtWidgets.QMdiArea):
urlsDropped = QtCore.pyqtSignal(object)
def __init__(self, parent=None):
super(MdiArea, self).__init__(parent)
self.setAcceptDrops(True)
def dragEnterEvent(sel... | {
"repo_name": "vincentchevrier/dataquick",
"path": "dataquick/qt/classes.py",
"copies": "1",
"size": "7327",
"license": "mit",
"hash": -2620503415611130000,
"line_mean": 40.395480226,
"line_max": 114,
"alpha_frac": 0.6833629043,
"autogenerated": false,
"ratio": 4.02803738317757,
"config_test": ... |
"""A MongoDB-based caching core for cachier."""
# This file is part of Cachier.
# https://github.com/shaypal5/cachier
# Licensed under the MIT license:
# http://www.opensource.org/licenses/MIT-license
# Copyright (c) 2016, Shay Palachy <shaypal5@gmail.com>
import sys # to make sure that pymongo was imported
import ... | {
"repo_name": "shaypal5/cachier",
"path": "cachier/mongo_core.py",
"copies": "1",
"size": "5054",
"license": "mit",
"hash": 1581484316163732500,
"line_mean": 31.3974358974,
"line_max": 114,
"alpha_frac": 0.5197863079,
"autogenerated": false,
"ratio": 4.075806451612904,
"config_test": false,
"... |
# A monkey patch of the base distutils.ccompiler to use parallel builds
# Tested on 2.7, looks to be identical to 3.3.
from multiprocessing import Pool, cpu_count
from distutils.ccompiler import CCompiler
import os, sys
try:
MAX_PROCS = int(os.environ.get('MAX_CONCURRENCY', min(4, cpu_count())))
except NotImpleme... | {
"repo_name": "1upon0/rfid-auth-system",
"path": "GUI/printer/Pillow-2.7.0/mp_compile.py",
"copies": "1",
"size": "2192",
"license": "apache-2.0",
"hash": 1990287201610395000,
"line_mean": 33.7936507937,
"line_max": 93,
"alpha_frac": 0.6656021898,
"autogenerated": false,
"ratio": 3.65333333333333... |
'''A month, as in 200703; immutable
Copyright 2017 Roy E. Lowrance
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/licenses/LICENSE-2.0
Unless required by applicable law or... | {
"repo_name": "rlowrance/python_lib",
"path": "applied_data_science/Month.py",
"copies": "2",
"size": "6644",
"license": "apache-2.0",
"hash": -2165888901364996900,
"line_mean": 31.0966183575,
"line_max": 88,
"alpha_frac": 0.5782661048,
"autogenerated": false,
"ratio": 3.5836030204962244,
"conf... |
""" A monthly/quarterly/yearly report of incomes and expenses
"""
from reports import Report
class Books(Report):
description = "A monthly/quarterly/yearly report of incomes and " \
"expenses"
special_args = True
want_csv = True
want_scope = True
def get_args(self, parser):... | {
"repo_name": "dploeger/fastbillreport",
"path": "reports/books.py",
"copies": "1",
"size": "7082",
"license": "mit",
"hash": -2434888576352505300,
"line_mean": 26.7725490196,
"line_max": 88,
"alpha_frac": 0.4286924598,
"autogenerated": false,
"ratio": 4.307785888077859,
"config_test": false,
... |
# a more accurate name for this would be timer.py, however the "spec"
# calls for the pi based timer to be called piMC.py. Who am I to argue.
import RPi.GPIO as GPIO, time, os, random
from vhsled_spi import *
from vhsled_text import *
from vhsled_colour import *
from vhsled_rain import *
def countdown_timer(pixels, ... | {
"repo_name": "ScienceWorldCA/domelights",
"path": "backend/examples/VHSled/piMC.py",
"copies": "1",
"size": "1730",
"license": "apache-2.0",
"hash": -782133927828071600,
"line_mean": 25.6153846154,
"line_max": 132,
"alpha_frac": 0.6936416185,
"autogenerated": false,
"ratio": 2.6132930513595167,
... |
# a more accurate name for this would be timer.py, however the "spec"
# calls for the pi based timer to be called piMC.py. Who am I to argue.
import RPi.GPIO as GPIO, time, os, random
import datetime
from vhsled_spi import *
from vhsled_text import *
from vhsled_colour import *
GPIO.setmode(GPIO.BCM)
width = 42
heig... | {
"repo_name": "ScienceWorldCA/domelights",
"path": "backend/examples/VHSled/vhsled_fadeclock2.py",
"copies": "1",
"size": "2965",
"license": "apache-2.0",
"hash": -4581882270612198000,
"line_mean": 28.9494949495,
"line_max": 148,
"alpha_frac": 0.6863406408,
"autogenerated": false,
"ratio": 2.7428... |
"""A more complex example of do/undo capability with PyTables.
Here, names has been assigned to the marks, and jumps are done between
marks.
"""
import tables
# Create an HDF5 file
fileh = tables.open_file('tutorial3-2.h5', 'w', title='Undo/Redo demo 2')
#'-**-**-**-**-**-**- enable undo/redo log -**-**-... | {
"repo_name": "jennolsen84/PyTables",
"path": "examples/tutorial3-2.py",
"copies": "13",
"size": "2611",
"license": "bsd-3-clause",
"hash": -8551970128654826000,
"line_mean": 32.0506329114,
"line_max": 79,
"alpha_frac": 0.6966679433,
"autogenerated": false,
"ratio": 2.8566739606126914,
"config_... |
"""A more liberal autolinker
Inspired by Django's urlize function.
Positive examples:
>>> import markdown
>>> md = markdown.Markdown(extensions=['urlize'])
>>> md.convert('http://example.com/')
u'<p><a href="http://example.com/">http://example.com/</a></p>'
>>> md.convert('go to http://example.com')
u'<p>go to <a ... | {
"repo_name": "dreikanter/public-static",
"path": "publicstatic/urlize.py",
"copies": "1",
"size": "2224",
"license": "bsd-3-clause",
"hash": -6062903256282514000,
"line_mean": 26.4567901235,
"line_max": 92,
"alpha_frac": 0.5737410072,
"autogenerated": false,
"ratio": 3.0217391304347827,
"confi... |
"""A more or less complete dictionary like interface for the RISC OS environment."""
import riscos
class _Environ:
def __init__(self, initial = None):
pass
def __repr__(self):
return repr(riscos.getenvdict())
def __cmp__(self, dict):
return cmp(riscos.getenvdict(), dict)
def __... | {
"repo_name": "MalloyPower/parsing-python",
"path": "front-end/testsuite-python-lib/Python-2.2/Lib/plat-riscos/riscosenviron.py",
"copies": "1",
"size": "1293",
"license": "mit",
"hash": 2431785879574984700,
"line_mean": 29.0697674419,
"line_max": 84,
"alpha_frac": 0.5715390565,
"autogenerated": fa... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict:
def __init__(*args, **kwargs):
if not args:
raise TypeError("descriptor '__init__' of 'UserDict' object "
"needs an argument")
self = args[0]
args = args[1:]... | {
"repo_name": "JVenberg/PokemonGo-Bot-Desktop",
"path": "pywin/Lib/UserDict.py",
"copies": "62",
"size": "7060",
"license": "mit",
"hash": 5384610070043947000,
"line_mean": 32.1455399061,
"line_max": 79,
"alpha_frac": 0.5402266289,
"autogenerated": false,
"ratio": 4.278787878787878,
"config_tes... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict:
def __init__(self, dict=None, **kwargs):
self.data = {}
if dict is not None:
if not hasattr(dict,'keys'):
dict = type({})(dict) # make mapping from a sequence
self... | {
"repo_name": "ilc/imgserv",
"path": "paste/util/UserDict24.py",
"copies": "28",
"size": "5516",
"license": "mit",
"hash": 5416914502308920000,
"line_mean": 32.0299401198,
"line_max": 77,
"alpha_frac": 0.5549311095,
"autogenerated": false,
"ratio": 4.150489089541009,
"config_test": false,
"ha... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict:
def __init__(self, dict=None):
self.data = {}
if dict is not None: self.update(dict)
def __repr__(self): return repr(self.data)
def __cmp__(self, dict):
if isinstance(dict, UserDict):
... | {
"repo_name": "aptana/Pydev",
"path": "bundles/org.python.pydev.jython/Lib/UserDict.py",
"copies": "9",
"size": "2065",
"license": "epl-1.0",
"hash": -1940962510418171400,
"line_mean": 33.4166666667,
"line_max": 77,
"alpha_frac": 0.5791767554,
"autogenerated": false,
"ratio": 3.761384335154827,
... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict(object):
def __init__(*args, **kwargs):
if not args:
raise TypeError("descriptor '__init__' of 'UserDict' object "
"needs an argument")
self = args[0]
args = ... | {
"repo_name": "AlexEKoren/grumpy",
"path": "third_party/stdlib/UserDict.py",
"copies": "1",
"size": "7076",
"license": "apache-2.0",
"hash": -593545378568599700,
"line_mean": 32.220657277,
"line_max": 79,
"alpha_frac": 0.540700961,
"autogenerated": false,
"ratio": 4.2781136638452235,
"config_te... |
"""A more or less complete user-defined wrapper around dictionary objects."""
import riscos
class _Environ:
def __init__(self, initial = None):
pass
def __repr__(self):
return repr(riscos.getenvdict())
def __cmp__(self, dict):
if isinstance(dict, UserDict):
return cmp(r... | {
"repo_name": "MalloyPower/parsing-python",
"path": "front-end/testsuite-python-lib/Python-2.1/Lib/plat-riscos/riscosenviron.py",
"copies": "1",
"size": "1330",
"license": "mit",
"hash": -4022340047597947000,
"line_mean": 28.5555555556,
"line_max": 77,
"alpha_frac": 0.569924812,
"autogenerated": fa... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict:
def __init__(self, dict=None, **kwargs):
self.data = {}
if dict is not None:
self.update(dict)
if len(kwargs):
self.update(kwargs)
def __repr__(self):
return r... | {
"repo_name": "ppyordanov/HCI_4_Future_Cities",
"path": "Server/src/virtualenv/Lib/UserDict.py",
"copies": "1",
"size": "5950",
"license": "mit",
"hash": 3342588567657734000,
"line_mean": 24.4273504274,
"line_max": 79,
"alpha_frac": 0.5401680672,
"autogenerated": false,
"ratio": 4.213881019830028... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict:
def __init__(*args, **kwargs):
if not args:
raise TypeError("descriptor '__init__' of 'UserDict' object "
"needs an argument")
self = args[0]
args = ... | {
"repo_name": "nmercier/linux-cross-gcc",
"path": "win32/bin/Lib/UserDict.py",
"copies": "5",
"size": "7273",
"license": "bsd-3-clause",
"hash": 1512766881308138000,
"line_mean": 32.1455399061,
"line_max": 79,
"alpha_frac": 0.5244053348,
"autogenerated": false,
"ratio": 4.394561933534743,
"conf... |
"""A more or less complete user-defined wrapper around dictionary objects."""
class UserDict:
def __init__(self, dict=None, **kwargs):
self.data = {}
if dict is not None:
self.update(dict)
if len(kwargs):
self.update(kwargs)
def __repr__(self): return re... | {
"repo_name": "ericlink/adms-server",
"path": "playframework-dist/play-1.1/python/Lib/UserDict.py",
"copies": "2",
"size": "5904",
"license": "mit",
"hash": -8293407340814465000,
"line_mean": 31.7371428571,
"line_max": 79,
"alpha_frac": 0.5337059621,
"autogenerated": false,
"ratio": 4.27206946454... |
"""A more or less complete user-defined wrapper around list objects."""
class UserList:
def __init__(self, initlist=None):
self.data = []
if initlist is not None:
# XXX should this accept an arbitrary sequence?
if type(initlist) == type(self.data):
self.data[... | {
"repo_name": "Integral-Technology-Solutions/ConfigNOW",
"path": "Lib/UserList.py",
"copies": "4",
"size": "3526",
"license": "mit",
"hash": -8729001291695121000,
"line_mean": 40.4823529412,
"line_max": 71,
"alpha_frac": 0.5609756098,
"autogenerated": false,
"ratio": 3.6164102564102563,
"config... |
"""A more or less complete user-defined wrapper around list objects."""
#Imported from Python 2.3.5 and added _fixindex
class UserList:
def __init__(self, initlist=None):
self.data = []
if initlist is not None:
# XXX should this accept an arbitrary sequence?
if type(initlist... | {
"repo_name": "smkr/pyclipse",
"path": "plugins/org.python.pydev.jython/Lib/UserList.py",
"copies": "8",
"size": "3841",
"license": "epl-1.0",
"hash": -1162657071319461000,
"line_mean": 39.8617021277,
"line_max": 71,
"alpha_frac": 0.5631346004,
"autogenerated": false,
"ratio": 3.630434782608696,
... |
"""A more or less complete user-defined wrapper around list objects."""
class UserList:
def __init__(self, initlist=None):
self.data = []
if initlist is not None:
# XXX should this accept an arbitrary sequence?
if type(initlist) == type(self.data):
se... | {
"repo_name": "ai-ku/langvis",
"path": "dependencies/jython-2.1/Lib/UserList.py",
"copies": "4",
"size": "3611",
"license": "mit",
"hash": 3017948976506187000,
"line_mean": 40.4823529412,
"line_max": 71,
"alpha_frac": 0.5477707006,
"autogenerated": false,
"ratio": 3.7035897435897436,
"config_te... |
"""A more or less complete user-defined wrapper around list objects."""
import collections
class UserList(collections.MutableSequence):
def __init__(self, initlist=None):
self.data = []
if initlist is not None:
# XXX should this accept an arbitrary sequence?
if typ... | {
"repo_name": "google/google-ctf",
"path": "third_party/edk2/AppPkg/Applications/Python/Python-2.7.2/Lib/UserList.py",
"copies": "67",
"size": "3732",
"license": "apache-2.0",
"hash": -1574053064305598500,
"line_mean": 40.4090909091,
"line_max": 71,
"alpha_frac": 0.551982851,
"autogenerated": false... |
""" A more realistic example of exfoliate being used for web scraping.
Exfoliate was designed with web scraping in mind. Although Reddit has an API, the has
generous robots.txt permissions and also makes for a good demonstration because there are multiple
types of requests that can be made (article lists, links to t... | {
"repo_name": "brianjpetersen/exfoliate",
"path": "example.py",
"copies": "1",
"size": "3722",
"license": "mit",
"hash": -8225017613256445000,
"line_mean": 38.1789473684,
"line_max": 103,
"alpha_frac": 0.6698011822,
"autogenerated": false,
"ratio": 3.877083333333333,
"config_test": false,
"ha... |
"""A more realtime netcat"""
import sys
import select
import socket
from curtsies import FullscreenWindow, Input, FSArray
from curtsies.formatstring import linesplit
from curtsies.fmtfuncs import blue, red, green
class Connection:
def __init__(self, sock):
self.sock = sock
self.received = []
d... | {
"repo_name": "sebastinas/curtsies",
"path": "examples/chat.py",
"copies": "1",
"size": "2519",
"license": "mit",
"hash": 1486726391699776000,
"line_mean": 35.5072463768,
"line_max": 115,
"alpha_frac": 0.4847161572,
"autogenerated": false,
"ratio": 4.004769475357711,
"config_test": false,
"ha... |
# a more robust batch generator that only has one font open at the time.
from robofab.interface.all.dialogs import GetFolder
from robofab.world import RFont, OpenFont
import os
def collectSources(root):
files = []
ext = ['.vfb']
names = os.listdir(root)
for n in names:
if os.path.splitext(n)[1] in ext:
files... | {
"repo_name": "adrientetar/robofab",
"path": "Scripts/RoboFabUtils/RobustBatchGenerate.py",
"copies": "1",
"size": "1024",
"license": "bsd-3-clause",
"hash": 3258946483289881600,
"line_mean": 19.9183673469,
"line_max": 72,
"alpha_frac": 0.70703125,
"autogenerated": false,
"ratio": 2.8523676880222... |
"""Amorphous silica surface."""
import mbuild as mb
class AmorphousSilicaSurface(mb.Compound):
"""Amorphous silica surface."""
def __init__(self, surface_roughness=1.0):
super(AmorphousSilicaSurface, self).__init__()
if surface_roughness == 1.0:
mb.load(
"amorphou... | {
"repo_name": "mosdef-hub/mbuild",
"path": "mbuild/lib/surfaces/amorphous_silica_surface.py",
"copies": "2",
"size": "1398",
"license": "mit",
"hash": 8993806892370564,
"line_mean": 33.0975609756,
"line_max": 74,
"alpha_frac": 0.5350500715,
"autogenerated": false,
"ratio": 3.7580645161290325,
"... |
""" A mostly direct translation of rdradcp.m to python.
1/3/2013: Updated with DKR changes to rdradcp.m
"""
import sys,os,re,math
from numpy import *
import scipy.stats.stats as sp
import scipy.stats.morestats as ssm
from matplotlib.dates import date2num,num2date
import datetime
import pdb
cfac=180.0/(2**31)
def ... | {
"repo_name": "esatel/ADCPy",
"path": "adcpy/rdradcp.py",
"copies": "1",
"size": "62286",
"license": "mit",
"hash": -3457608987792429600,
"line_mean": 41.6616438356,
"line_max": 120,
"alpha_frac": 0.5280319815,
"autogenerated": false,
"ratio": 3.5476448140342884,
"config_test": false,
"has_no... |
""" A mostly-general Traits UI editor for viewing things in TVTK scenes.
"""
# Authors: Robert Kern <robert.kern [at] gmail.com>
# Prabhu Ramachandran <prabhu [at] aero.iitb.ac.in>
# Copyright (c) 2007, Enthought, Inc.
# License: BSD Style.
# Major library imports.
import os
from pyface.qt import QtGui
# En... | {
"repo_name": "liulion/mayavi",
"path": "tvtk/pyface/ui/qt4/actor_editor.py",
"copies": "2",
"size": "7376",
"license": "bsd-3-clause",
"hash": -4320403083915985000,
"line_mean": 31.2096069869,
"line_max": 80,
"alpha_frac": 0.5694143167,
"autogenerated": false,
"ratio": 4.377448071216617,
"conf... |
# A motion activated stepper motor
# A combination of switches.py and stepper.py
import RPi.GPIO as GPIO
import time
GPIO.setmode(GPIO.BCM)
# PIR config:
# red to 5v, black to GND, yellow to #18
pir_pin = 18
# stepper motor config: see adafruit tutorial
# https://learn.adafruit.com/adafruits-raspberry-pi-lesson-10-... | {
"repo_name": "egocks/ducking-octo-batman",
"path": "motor_switch.py",
"copies": "1",
"size": "1474",
"license": "mit",
"hash": -1716159232744238800,
"line_mean": 21.3333333333,
"line_max": 76,
"alpha_frac": 0.6824966079,
"autogenerated": false,
"ratio": 2.1644640234948604,
"config_test": false... |
# amounra 0513 : http://www.aumhaa.com
from __future__ import with_statement
import Live
import time
import math
from itertools import chain
from _Framework.ButtonElement import ButtonElement
from _Framework.ButtonMatrixElement import ButtonMatrixElement
from _Framework.ChannelStripComponent import ChannelStripCompon... | {
"repo_name": "LividInstruments/LiveRemoteScripts",
"path": "Livid_OhmModes_2/OhmModes.py",
"copies": "1",
"size": "40399",
"license": "mit",
"hash": 2752653151209535000,
"line_mean": 33.0345408593,
"line_max": 302,
"alpha_frac": 0.6827149187,
"autogenerated": false,
"ratio": 2.9016016663075486,
... |
# amounra 0513 : http://www.aumhaa.com
from __future__ import with_statement
import Live
import time
import math
from _Framework.ButtonElement import ButtonElement
from _Framework.ButtonMatrixElement import ButtonMatrixElement
from _Framework.ChannelStripComponent import ChannelStripComponent
from _Framework.ClipSlotC... | {
"repo_name": "LividInstruments/LiveRemoteScripts",
"path": "Livid_OhmModes/OhmModes.py",
"copies": "1",
"size": "53531",
"license": "mit",
"hash": -677872570868913900,
"line_mean": 32.6038920276,
"line_max": 209,
"alpha_frac": 0.675440399,
"autogenerated": false,
"ratio": 2.8990522610343894,
"... |
# amounra 0513 : http://www.aumhaa.com
from __future__ import with_statement
import Live
import math
""" _Framework files """
from _Framework.ButtonElement import ButtonElement # Class representing a button a the controller
from _Framework.ButtonMatrixElement import ButtonMatrixElement # Class representing a 2-dimen... | {
"repo_name": "LividInstruments/LiveRemoteScripts",
"path": "Livid_Alias8/Alias.py",
"copies": "1",
"size": "10355",
"license": "mit",
"hash": 2902908666247174700,
"line_mean": 38.6781609195,
"line_max": 182,
"alpha_frac": 0.7262192178,
"autogenerated": false,
"ratio": 3.2748260594560406,
"conf... |
""" A moveable circle shape. """
from traits.api import Float
from enable.primitives.shape import Shape
class Circle(Shape):
""" A moveable circle shape. """
# The radius of the circle.
radius = Float
# 'CoordinateBox' interface.
#---------------------------
def _bounds_changed(self):
... | {
"repo_name": "tommy-u/enable",
"path": "examples/enable/shapes/circle.py",
"copies": "1",
"size": "1398",
"license": "bsd-3-clause",
"hash": -8108550993690971000,
"line_mean": 26.4117647059,
"line_max": 78,
"alpha_frac": 0.517167382,
"autogenerated": false,
"ratio": 3.9491525423728815,
"config... |
"""AMPAL objects that represent ligands."""
from ampal.base_ampal import Polymer, Monomer
class LigandGroup(Polymer):
"""A container for `Ligand` `Monomers`.
Parameters
----------
monomers : Monomer or [Monomer], optional
Monomer or list containing Monomer objects to form the Polymer().
... | {
"repo_name": "woolfson-group/isambard",
"path": "isambard/ampal/ligands.py",
"copies": "1",
"size": "4151",
"license": "mit",
"hash": -4224857303645106000,
"line_mean": 34.7844827586,
"line_max": 80,
"alpha_frac": 0.6270778126,
"autogenerated": false,
"ratio": 3.995187680461983,
"config_test":... |
"""AMPAL objects that represent protein."""
from collections import OrderedDict
import warnings
import numpy
from ampal.base_ampal import Polymer, Monomer, Atom
from ampal.ligands import Ligand, LigandGroup
from ampal.assembly import Assembly
from ampal.pseudo_atoms import Primitive
from ampal.analyse_protein import... | {
"repo_name": "woolfson-group/isambard",
"path": "isambard/ampal/protein.py",
"copies": "1",
"size": "56780",
"license": "mit",
"hash": 7422373198088210000,
"line_mean": 40.3245997089,
"line_max": 96,
"alpha_frac": 0.5544029588,
"autogenerated": false,
"ratio": 3.697095976038547,
"config_test":... |
# amplicon.py - classes for fitting amplicon distributions from PSDs
#
# v 1.1.1
# rev 2017-11-29 (MS: minor bug fix)
# Notes:
import scipy.optimize
import scipy.special
import scipy.stats
import numpy as np
import pandas as pd
from . import extra_tools
def func_logis(x, inter, asym, xmid, scal):
""" Return logi... | {
"repo_name": "parklab/PaSDqc",
"path": "PaSDqc/amplicon.py",
"copies": "1",
"size": "11243",
"license": "mit",
"hash": -1579974794750582000,
"line_mean": 31.1228571429,
"line_max": 95,
"alpha_frac": 0.5198790358,
"autogenerated": false,
"ratio": 3.503583670925522,
"config_test": false,
"has_... |
# amplitude[i] variables take the amplitude of the pressure wave or the amplitude of the stress ratio.
# period[i] variables take the time-period of the wave
# cr = color of the line
# pressure[i] = mean pressure
# deformation[i] = polar deformation
# trailno = the trail values
# t = thickness
# cnc = concentration
# s... | {
"repo_name": "kredy/Liquid-Impact-Forming",
"path": "graph.py",
"copies": "1",
"size": "3768",
"license": "bsd-3-clause",
"hash": -2316760653832739000,
"line_mean": 25.9142857143,
"line_max": 102,
"alpha_frac": 0.6764861996,
"autogenerated": false,
"ratio": 2.5685071574642127,
"config_test": f... |
"""Amplitude Spetrum produced in the paper.
DVS Benchmark Datasets for Object Tracking, Action Recognition and Object
Recognition
Please set your environment variable SPIKEFUEL_DATA:
export SPIKEFUEL_DATA=/path/to/data
and then place all HDF5 format data in this folder, then
create a folder `sf_data` in `/path/to/da... | {
"repo_name": "duguyue100/spikefuel",
"path": "scripts/create_amplitude_spectrum.py",
"copies": "1",
"size": "7021",
"license": "mit",
"hash": 6963519470952872000,
"line_mean": 31.2064220183,
"line_max": 79,
"alpha_frac": 0.6248397664,
"autogenerated": false,
"ratio": 2.645440844009043,
"config... |
"""a.m. / p.m.
---
layout: post
source: Garner's Modern American Usage
source_url: http://bit.ly/1T4alrY
title: a.m. & p.m.
date: 2014-06-10 12:31:19
categories: writing
---
"""
from proselint.tools import existence_check, memoize
@memoize
def check_lowercase_periods(text):
"""Check the text.... | {
"repo_name": "amperser/proselint",
"path": "proselint/checks/dates_times/am_pm.py",
"copies": "1",
"size": "1441",
"license": "bsd-3-clause",
"hash": -1123359962359209200,
"line_mean": 24.2807017544,
"line_max": 67,
"alpha_frac": 0.5801526718,
"autogenerated": false,
"ratio": 2.703564727954972,
... |
"""AMQP benchmarking tool."""
from __future__ import print_function
import glob
import json
import logging
import os
import random
import signal
import statistics
import sys
import time
from functools import partial, wraps
from operator import itemgetter
import asgi_rabbitmq
from channels.test.liveserver import (
... | {
"repo_name": "proofit404/asgi_rabbitmq",
"path": "libs/amqpstat.py",
"copies": "1",
"size": "10679",
"license": "bsd-3-clause",
"hash": 2627948430723636000,
"line_mean": 28.6638888889,
"line_max": 79,
"alpha_frac": 0.6068920311,
"autogenerated": false,
"ratio": 3.961053412462908,
"config_test"... |
"""AMQP Channels."""
# Copyright (C) 2007-2008 Barry Pederson <bp@barryp.org>
from __future__ import absolute_import, unicode_literals
import logging
import socket
from collections import defaultdict
from warnings import warn
from vine import ensure_promise
from . import spec
from .abstract_channel import AbstractCh... | {
"repo_name": "kawamon/hue",
"path": "desktop/core/ext-py/amqp-2.4.1/amqp/channel.py",
"copies": "2",
"size": "73292",
"license": "apache-2.0",
"hash": -4194805293553487000,
"line_mean": 34.0847295357,
"line_max": 79,
"alpha_frac": 0.5727500955,
"autogenerated": false,
"ratio": 5.060204363435515,... |
"""AMQP Channels
"""
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import logging
import six
if six.PY2:
from Queue import Queue
else:
from queue import Queue
from .proto import Method
from .concurrency import synchronized_connection
from .abstract_channel import Abstr... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/channel.py",
"copies": "1",
"size": "55638",
"license": "mit",
"hash": -8414000878105390000,
"line_mean": 40.2438843588,
"line_max": 100,
"alpha_frac": 0.644793127,
"autogenerated": false,
"ratio": 4.472508038585209,
"config_test": false,
"has_no_k... |
"""AMQP Channels
"""
import logging
from queue import Queue
from .proto import Method
from .concurrency import synchronized
from .abstract_channel import AbstractChannel
from .exceptions import ChannelError, ConsumerCancelled, error_for_code
from .spec import basic_return_t, queue_declare_ok_t, method_t
from .serializ... | {
"repo_name": "gst/amqpy",
"path": "amqpy/channel.py",
"copies": "1",
"size": "55345",
"license": "mit",
"hash": -499626030043929900,
"line_mean": 40.2714392245,
"line_max": 100,
"alpha_frac": 0.6433282139,
"autogenerated": false,
"ratio": 4.465827483256677,
"config_test": false,
"has_no_keyw... |
"""AMQP Connections."""
# Copyright (C) 2007-2008 Barry Pederson <bp@barryp.org>
from __future__ import absolute_import, unicode_literals
import logging
import socket
import uuid
import warnings
from vine import ensure_promise
from . import __version__, sasl, spec
from .abstract_channel import AbstractChannel
from .... | {
"repo_name": "cloudera/hue",
"path": "desktop/core/ext-py/amqp-2.4.1/amqp/connection.py",
"copies": "3",
"size": "26305",
"license": "apache-2.0",
"hash": -3454930289542322000,
"line_mean": 34.1671122995,
"line_max": 79,
"alpha_frac": 0.600456187,
"autogenerated": false,
"ratio": 4.4091518605430... |
"""AMQP Connections
"""
from __future__ import absolute_import, division, print_function
__metaclass__ = type
import logging
import socket
from array import array
import pprint
import six
from threading import Event, Thread, Lock
from . import __version__, compat
from .proto import Method
from .method_io import Metho... | {
"repo_name": "veegee/amqpy",
"path": "amqpy/connection.py",
"copies": "1",
"size": "27811",
"license": "mit",
"hash": 6925710791181273000,
"line_mean": 38.6733238231,
"line_max": 100,
"alpha_frac": 0.6214447521,
"autogenerated": false,
"ratio": 4.6922557786401216,
"config_test": false,
"has_... |
"""AMQP Connections
"""
import logging
import socket
from array import array
import pprint
from threading import Event, Thread
import time
from . import __version__, compat
from .proto import Method
from .method_io import MethodReader, MethodWriter
from .serialization import AMQPWriter
from .abstract_channel import Ab... | {
"repo_name": "gst/amqpy",
"path": "amqpy/connection.py",
"copies": "1",
"size": "27569",
"license": "mit",
"hash": -8458294714909558000,
"line_mean": 38.7821067821,
"line_max": 100,
"alpha_frac": 0.6209147956,
"autogenerated": false,
"ratio": 4.7078210382513666,
"config_test": false,
"has_no... |
"""AMQP Messages."""
# Copyright (C) 2007-2008 Barry Pederson <bp@barryp.org>
from __future__ import absolute_import, unicode_literals
from .serialization import GenericContent
# Intended to fix #85: ImportError: cannot import name spec
# Encountered on python 2.7.3
# "The submodules often need to refer to each other.... | {
"repo_name": "cloudera/hue",
"path": "desktop/core/ext-py/amqp-2.4.1/amqp/basic_message.py",
"copies": "4",
"size": "3342",
"license": "apache-2.0",
"hash": 7161767717731535000,
"line_mean": 27.3220338983,
"line_max": 75,
"alpha_frac": 0.5969479354,
"autogenerated": false,
"ratio": 4.46791443850... |
"""AMQP Messaging Framework for Python"""
from __future__ import absolute_import
VERSION = (2, 1, 2)
__version__ = ".".join(map(str, VERSION[0:3])) + "".join(VERSION[3:])
__author__ = "Ask Solem"
__contact__ = "ask@celeryproject.org"
__homepage__ = "http://github.com/ask/kombu/"
__docformat__ = "restructuredtext en"
... | {
"repo_name": "kumar303/rockit",
"path": "vendor-local/kombu/__init__.py",
"copies": "1",
"size": "2682",
"license": "bsd-3-clause",
"hash": -9216560969761368000,
"line_mean": 30.5529411765,
"line_max": 74,
"alpha_frac": 0.571961223,
"autogenerated": false,
"ratio": 3.6639344262295084,
"config_... |
"""AMQP Messaging Framework for Python"""
VERSION = (1, 1, 2)
__version__ = ".".join(map(str, VERSION[0:3])) + "".join(VERSION[3:])
__author__ = "Ask Solem"
__contact__ = "ask@celeryproject.org"
__homepage__ = "http://github.com/ask/kombu/"
__docformat__ = "restructuredtext en"
import os
import sys
if not os.environ.g... | {
"repo_name": "disqus/kombu",
"path": "kombu/__init__.py",
"copies": "1",
"size": "2364",
"license": "bsd-3-clause",
"hash": 3520256919983443000,
"line_mean": 35.9375,
"line_max": 78,
"alpha_frac": 0.5283417936,
"autogenerated": false,
"ratio": 3.9797979797979797,
"config_test": false,
"has_n... |
"""AMQP Messaging Framework for Python"""
VERSION = (1, 1, 3)
__version__ = ".".join(map(str, VERSION[0:3])) + "".join(VERSION[3:])
__author__ = "Ask Solem"
__contact__ = "ask@celeryproject.org"
__homepage__ = "http://github.com/ask/kombu/"
__docformat__ = "restructuredtext en"
import os
import sys
if not os.environ.g... | {
"repo_name": "pantheon-systems/kombu",
"path": "kombu/__init__.py",
"copies": "1",
"size": "2364",
"license": "bsd-3-clause",
"hash": -5658283977309734000,
"line_mean": 35.9375,
"line_max": 78,
"alpha_frac": 0.5283417936,
"autogenerated": false,
"ratio": 3.9797979797979797,
"config_test": fals... |
"""AMQP Messaging Framework for Python"""
VERSION = (1, 2, 1)
__version__ = ".".join(map(str, VERSION[0:3])) + "".join(VERSION[3:])
__author__ = "Ask Solem"
__contact__ = "ask@celeryproject.org"
__homepage__ = "http://github.com/ask/kombu/"
__docformat__ = "restructuredtext en"
import os
import sys
if not os.environ.g... | {
"repo_name": "WoLpH/kombu",
"path": "kombu/__init__.py",
"copies": "1",
"size": "2364",
"license": "bsd-3-clause",
"hash": -4680261998531073000,
"line_mean": 35.9375,
"line_max": 78,
"alpha_frac": 0.5283417936,
"autogenerated": false,
"ratio": 3.9797979797979797,
"config_test": false,
"has_n... |
"""AMQP Messaging Framework for Python"""
VERSION = (1, 5, 1)
__version__ = ".".join(map(str, VERSION[0:3])) + "".join(VERSION[3:])
__author__ = "Ask Solem"
__contact__ = "ask@celeryproject.org"
__homepage__ = "http://github.com/ask/kombu/"
__docformat__ = "restructuredtext en"
# -eof meta-
import os
import sys
# La... | {
"repo_name": "softak/webfaction_demo",
"path": "vendor-local/lib/python/kombu/__init__.py",
"copies": "1",
"size": "2206",
"license": "bsd-3-clause",
"hash": -7674009037040722000,
"line_mean": 31.4411764706,
"line_max": 74,
"alpha_frac": 0.5679963735,
"autogenerated": false,
"ratio": 3.652317880... |
"""AMQP plugin for Henson."""
import asyncio
from collections import namedtuple
from enum import IntEnum
import json
import pkg_resources
import os
import aioamqp
from henson import Extension
__all__ = ('AMQP', 'Message')
try:
_dist = pkg_resources.get_distribution(__package__)
if not __file__.startswith(os... | {
"repo_name": "iheartradio/Henson-AMQP",
"path": "henson_amqp/__init__.py",
"copies": "1",
"size": "13233",
"license": "apache-2.0",
"hash": -5321941687908394000,
"line_mean": 33.6413612565,
"line_max": 96,
"alpha_frac": 0.6056827628,
"autogenerated": false,
"ratio": 4.218361491871215,
"config_... |
"""AMQPStorm Base."""
import locale
import threading
from amqpstorm.compatibility import is_string
from amqpstorm.exception import AMQPChannelError
AUTH_MECHANISM = 'PLAIN'
IDLE_WAIT = 0.01
FRAME_MAX = 131072
MAX_CHANNELS = 1024
LOCALE = locale.getdefaultlocale()[0] or 'en_US'
class Stateful(object):
"""Statef... | {
"repo_name": "fake-name/ReadableWebProxy",
"path": "amqpstorm/base.py",
"copies": "1",
"size": "4408",
"license": "bsd-3-clause",
"hash": 722451481538029800,
"line_mean": 21.2626262626,
"line_max": 73,
"alpha_frac": 0.5360707804,
"autogenerated": false,
"ratio": 4.142857142857143,
"config_test... |
"""AMQPStorm Base."""
import locale
import threading
from amqpstorm.compatibility import is_string
from amqpstorm.exception import AMQPChannelError
AUTH_MECHANISM = 'PLAIN'
IDLE_WAIT = 0.01
LOCALE = locale.getdefaultlocale()[0] or 'en_US'
MAX_FRAME_SIZE = 131072
MAX_CHANNELS = 65535
class Stateful(object):
"""... | {
"repo_name": "eandersson/amqp-storm",
"path": "amqpstorm/base.py",
"copies": "1",
"size": "4414",
"license": "mit",
"hash": -9129020114919980000,
"line_mean": 21.2929292929,
"line_max": 73,
"alpha_frac": 0.5364748527,
"autogenerated": false,
"ratio": 4.140712945590995,
"config_test": false,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.