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'''Barst Measurement Computing DAQ Wrapper
==========================================
'''
from functools import partial
from pybarst.mcdaq import MCDAQChannel
from kivy.properties import NumericProperty, ObjectProperty
from moa.threads import ScheduledEventLoop
from moa.device.digital import ButtonViewPort
from cplco... | {
"repo_name": "matham/cplcom",
"path": "cplcom/moa/device/mcdaq.py",
"copies": "1",
"size": "5220",
"license": "mit",
"hash": -8178048931565285000,
"line_mean": 34.2702702703,
"line_max": 79,
"alpha_frac": 0.6136015326,
"autogenerated": false,
"ratio": 3.945578231292517,
"config_test": false,
... |
'''Barst RTV Wrapper
=======================
'''
from pybarst.rtv import RTVChannel
from kivy.properties import (
StringProperty, ObjectProperty, NumericProperty, BooleanProperty,
OptionProperty)
from ffpyplayer.pic import Image
from moa.device import Device
from moa.threads import ScheduledEventLoop
from cp... | {
"repo_name": "matham/cplcom",
"path": "cplcom/moa/device/rtv.py",
"copies": "1",
"size": "4825",
"license": "mit",
"hash": -3988744672650233000,
"line_mean": 31.5945945946,
"line_max": 79,
"alpha_frac": 0.6136787565,
"autogenerated": false,
"ratio": 3.429282160625444,
"config_test": false,
"... |
'''Barst Serial AALBORG MFC Wrapper
======================================
'''
import re
from kivy.properties import ObjectProperty, StringProperty, NumericProperty
from pybarst.serial import SerialChannel
from moa.threads import ScheduledEventLoop
from moa.device.analog import NumericPropertyViewChannel
from cplcom... | {
"repo_name": "matham/cplcom",
"path": "cplcom/moa/device/mfc.py",
"copies": "1",
"size": "4606",
"license": "mit",
"hash": 8288986129706888000,
"line_mean": 32.1366906475,
"line_max": 79,
"alpha_frac": 0.5753365176,
"autogenerated": false,
"ratio": 3.4093264248704664,
"config_test": false,
"... |
'''Barst Server Wrapper
=======================
'''
import time
import re
from pybarst.core.server import BarstServer
from moa.threads import ScheduledEventLoop
from moa.device import Device
from cplcom.moa.device import DeviceExceptionBehavior
from kivy.properties import BooleanProperty, StringProperty, ObjectPrope... | {
"repo_name": "matham/cplcom",
"path": "cplcom/moa/device/barst_server.py",
"copies": "1",
"size": "3167",
"license": "mit",
"hash": -3899403373601090600,
"line_mean": 31.6494845361,
"line_max": 79,
"alpha_frac": 0.6116198295,
"autogenerated": false,
"ratio": 4.102331606217617,
"config_test": f... |
"""Bartlett's transmission chain experiment from Remembering (1932)."""
import logging
from selenium.webdriver.common.by import By
from selenium.common.exceptions import TimeoutException
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from dall... | {
"repo_name": "Dallinger/Dallinger",
"path": "demos/dlgr/demos/bartlett1932/experiment.py",
"copies": "1",
"size": "3877",
"license": "mit",
"hash": 1939744328602661000,
"line_mean": 32.7130434783,
"line_max": 81,
"alpha_frac": 0.6187774052,
"autogenerated": false,
"ratio": 4.24644030668127,
"c... |
"""Bartlett's trasmission chain experiment from Remembering (1932)."""
from dallinger.networks import Chain
from dallinger.experiment import Experiment
class IteratedDrawing(Experiment):
"""Define the structure of the experiment."""
def __init__(self, session=None):
"""Call the same function in the ... | {
"repo_name": "Dallinger/Dallinger",
"path": "demos/dlgr/demos/iterated_drawing/experiment.py",
"copies": "1",
"size": "1835",
"license": "mit",
"hash": 38498156553450870,
"line_mean": 31.1929824561,
"line_max": 81,
"alpha_frac": 0.6217983651,
"autogenerated": false,
"ratio": 4.327830188679245,
... |
"""Bartlett's trasmission chain experiment from Remembering (1932)."""
from dallinger.networks import Empty
from dallinger.experiment import Experiment
from dallinger.models import Info
from jinja2 import TemplateNotFound
from flask import (
abort,
Blueprint,
jsonify,
render_template
)
import json
cl... | {
"repo_name": "jcpeterson/Dallinger",
"path": "demos/dlgr/demos/sheep_market/experiment.py",
"copies": "1",
"size": "1418",
"license": "mit",
"hash": -6772065373295624000,
"line_mean": 23.8771929825,
"line_max": 81,
"alpha_frac": 0.6565585331,
"autogenerated": false,
"ratio": 3.9943661971830986,
... |
"""Bartlett's trasmission chain experiment from Remembering (1932)."""
from wallace.networks import Chain
from wallace.nodes import Source
from wallace.experiments import Experiment
import random
class Bartlett1932(Experiment):
"""Define the structure of the experiment."""
def __init__(self, session):
... | {
"repo_name": "berkeley-cocosci/Wallace",
"path": "examples/bartlett1932/experiment.py",
"copies": "2",
"size": "2419",
"license": "mit",
"hash": -314221303459080450,
"line_mean": 30.0128205128,
"line_max": 79,
"alpha_frac": 0.5886730054,
"autogenerated": false,
"ratio": 4.01827242524917,
"conf... |
# Bar version
### TO FIX:
import Tkinter as tk
import modularui as m
import time
import csv
# Button actions
num = 2
def countdown():
global num
countervar.set("Wait " + str(num) + " more seconds.")
num -= 1
if num >= 0:
root.after(1000, countdown)
else:
num = 2
set_label()
countervar.set("")
def s... | {
"repo_name": "jasongtz/RataTAT-Tkinter",
"path": "RataTAT/rfproom.py",
"copies": "2",
"size": "4570",
"license": "mit",
"hash": -5490328506596071000,
"line_mean": 23.0526315789,
"line_max": 85,
"alpha_frac": 0.6525164114,
"autogenerated": false,
"ratio": 2.776427703523694,
"config_test": false... |
## Basado en: http://pytorch.org/tutorials/beginner/nlp/sequence_models_tutorial.html
import torch
import torch.autograd as autograd
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy as np
def read_file(filename):
sentence,tags,sentences = [],[],[]
for line in open... | {
"repo_name": "josdaza/deep-toolbox",
"path": "PyTorch/LSTM_Char_Tagger.py",
"copies": "1",
"size": "10871",
"license": "mit",
"hash": -3969389968241127400,
"line_mean": 40.3346007605,
"line_max": 127,
"alpha_frac": 0.6226658081,
"autogenerated": false,
"ratio": 3.2675082657048393,
"config_test... |
# Basado en: http://pytorch.org/tutorials/intermediate/char_rnn_classification_tutorial.html
# RNN_Char_NameClassifier: Codifica (ENCODES) los nombres en vectores de char_embeddings asociados a su clase
# Luego evalua la red probando con nombres y rectificando que la red prediga la clase correcta
# (verifica que la re... | {
"repo_name": "josdaza/deep-toolbox",
"path": "PyTorch/RNN_Encoder.py",
"copies": "1",
"size": "7844",
"license": "mit",
"hash": -6014779863968233000,
"line_mean": 34.7899543379,
"line_max": 139,
"alpha_frac": 0.6652207196,
"autogenerated": false,
"ratio": 3.398959236773634,
"config_test": fals... |
# Basado en: http://www.marekrei.com/blog/theano-tutorial/
import numpy as np
import theano
import theano.tensor as T
# Parametros de la Red
x = T.fvector('x')
target = T.fscalar('target')
learning_rate = 0.1
W = theano.shared(np.asarray([0.2, 0.7]), 'W')
y = (x * W).sum()
# El costo se calcula con el Mean Square E... | {
"repo_name": "josdaza/deep-toolbox",
"path": "Theano/1_min_training.py",
"copies": "1",
"size": "1670",
"license": "mit",
"hash": 5181268037263239000,
"line_mean": 37.8372093023,
"line_max": 104,
"alpha_frac": 0.6688622754,
"autogenerated": false,
"ratio": 2.7926421404682276,
"config_test": fa... |
"""Basal Area correction factor estimators"""
# TODO: validate that none of the variables taken from kwargs are missing
import logging
import numpy as np
from pygypsy.basal_area_simulate import (
sim_basal_area_aw,
sim_basal_area_sw,
sim_basal_area_sb,
sim_basal_area_pl,
)
LOGGER = logging.getLogger(... | {
"repo_name": "tesera/pygypsy",
"path": "pygypsy/basal_area_factor.py",
"copies": "1",
"size": "12607",
"license": "mit",
"hash": 3659881498887658000,
"line_mean": 39.6677419355,
"line_max": 93,
"alpha_frac": 0.5743634489,
"autogenerated": false,
"ratio": 3.6383838383838385,
"config_test": fals... |
"""Basal Area Simulation"""
#pylint: disable=no-member
# these functions can be improved because the increment is not
# autoregressive, so we can calculate it as a vector operation using
# the other arrays then the actual values are just the cumulative sums
# TODO: change initial age to data age
# TODO: change present... | {
"repo_name": "tesera/pygypsy",
"path": "pygypsy/basal_area_simulate.py",
"copies": "1",
"size": "18052",
"license": "mit",
"hash": 1710593007302475300,
"line_mean": 49.9943502825,
"line_max": 153,
"alpha_frac": 0.5901839131,
"autogenerated": false,
"ratio": 4.1308924485125855,
"config_test": f... |
"""Base 1.0.0 CTFd database
Revision ID: cb3cfcc47e2f
Revises:
Create Date: 2017-01-17 15:39:42.804290
"""
from CTFd import create_app
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'cb3cfcc47e2f'
down_revision = None
branch_labels = None
depends_on = None
def u... | {
"repo_name": "gibsonnathan/CTFd",
"path": "migrations/versions/cb3cfcc47e2f_base.py",
"copies": "2",
"size": "6956",
"license": "apache-2.0",
"hash": -879346906969039200,
"line_mean": 38.9770114943,
"line_max": 72,
"alpha_frac": 0.6065267395,
"autogenerated": false,
"ratio": 3.6629805160610847,
... |
# base11172.py
import itertools
from enum import IntEnum
from collections import deque
# import numpy as np
# BASE = 11172
# dt = np.dtype('i2')
class Sign(IntEnum):
Positive = 1
Zero = 0
Negative = -1
class Base11172:
BASE = 11172
@classmethod
def base(cls, base):
cls.BASE = base
... | {
"repo_name": "pueue/base11172",
"path": "base11172.py",
"copies": "1",
"size": "13530",
"license": "mit",
"hash": 25810533837342570,
"line_mean": 28.8017621145,
"line_max": 103,
"alpha_frac": 0.4906134516,
"autogenerated": false,
"ratio": 3.768802228412256,
"config_test": false,
"has_no_keyw... |
BASE2 = "01"
BASE10 = "0123456789"
BASE16 = "0123456789ABCDEF"
BASE62 = "ABCDEFGHIJKLMNOPQRSTUVWXYZ0123456789abcdefghijklmnopqrstuvwxyz"
def baseconvert(number,fromdigits,todigits):
""" converts a "number" between two bases of arbitrary digits
The input number is assumed to be a string of digits from the
... | {
"repo_name": "ActiveState/code",
"path": "recipes/Python/111286_Numeric_base_converter_that_accepts_arbitrary/recipe-111286.py",
"copies": "1",
"size": "1976",
"license": "mit",
"hash": 4300269756022509600,
"line_mean": 25.3466666667,
"line_max": 82,
"alpha_frac": 0.6437246964,
"autogenerated": fa... |
BASE36_ALPHABET = '0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ'
BASE32_ALPHABET = '0123456789ABCDEFGHJKMNPQRSTVWXYZ'
def _encode(number, alphabet):
if number == 0:
return alphabet[0]
base = len(alphabet)
rv = []
inverse = False
if number < 0:
number = -number
inverse = True
... | {
"repo_name": "mitsuhiko/sentry",
"path": "src/sentry/utils/numbers.py",
"copies": "1",
"size": "1171",
"license": "bsd-3-clause",
"hash": 5102563639884187000,
"line_mean": 17.8870967742,
"line_max": 56,
"alpha_frac": 0.5815542272,
"autogenerated": false,
"ratio": 3.454277286135693,
"config_tes... |
""" base58 encoding / decoding functions """
import unittest
import hashlib
import ctypes
import ctypes.util
import sys
import binascii
alphabet = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
base_count = len(alphabet)
'''
Example:
>>> import base58Encoder
>>> base58Encoder.encode... | {
"repo_name": "negedzuregal/Base58Encoder",
"path": "base58Encoder.py",
"copies": "1",
"size": "3870",
"license": "mit",
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"ratio": 3.359375,
"config_test": true,
"has_n... |
"""Base58 encoding
Copy from: https://github.com/keis/base58
Implementations of Base58 and Base58Check endcodings that are compatible
with the bitcoin network.
"""
# This module is based upon base58 snippets found scattered over many bitcoin
# tools written in python. From what I gather the original source is from a... | {
"repo_name": "StellarCN/py-stellar-base",
"path": "stellar_sdk/vendor/base58.py",
"copies": "1",
"size": "3521",
"license": "apache-2.0",
"hash": 8293317327865380000,
"line_mean": 22.0130718954,
"line_max": 86,
"alpha_frac": 0.617722238,
"autogenerated": false,
"ratio": 3.4587426326129664,
"co... |
'''Base58 encoding
Implementations of Base58 and Base58Check encodings that are compatible
with the bitcoin network.
'''
# This module is based upon base58 snippets found scattered over many bitcoin
# tools written in python. From what I gather the original source is from a
# forum post by Gavin Andresen, so direct y... | {
"repo_name": "keis/base58",
"path": "base58/__init__.py",
"copies": "1",
"size": "4068",
"license": "mit",
"hash": 2123992798098233300,
"line_mean": 24.5849056604,
"line_max": 79,
"alpha_frac": 0.6307767945,
"autogenerated": false,
"ratio": 3.2965964343598055,
"config_test": false,
"has_no_k... |
'''Base58 encoding
Implementations of Base58 and Base58Check endcodings that are compatible
with the bitcoin network.
'''
from hashlib import sha256
# 58 character alphabet used
alphabet = '123456789ABCDEFGHJKLMNPQRSTUVWXYZabcdefghijkmnopqrstuvwxyz'
iseq = lambda s: s
bseq = bytes
buffer = lambda s: s.buffer
def b... | {
"repo_name": "backpacker69/pypeerassets",
"path": "pypeerassets/base58.py",
"copies": "1",
"size": "1780",
"license": "bsd-3-clause",
"hash": 5952417292899389000,
"line_mean": 20.975308642,
"line_max": 72,
"alpha_frac": 0.5876404494,
"autogenerated": false,
"ratio": 3.4429400386847195,
"config... |
'''Base58 encoding
Implementations of Base58 and Base58Check endcodings that are compatible
with the bitcoin network.
'''
# This module is based upon base58 snippets found scattered over many bitcoin
# tools written in python. From what I gather the original source is from a
# forum post by Gavin Andresen, so direct ... | {
"repo_name": "mnahm5/django-estore",
"path": "Lib/site-packages/base58.py",
"copies": "3",
"size": "3201",
"license": "mit",
"hash": -184548249716041060,
"line_mean": 22.0287769784,
"line_max": 78,
"alpha_frac": 0.5929397063,
"autogenerated": false,
"ratio": 3.5448504983388704,
"config_test": ... |
# base58.py
# Original source: git://github.com/joric/brutus.git
# which was forked from git://github.com/samrushing/caesure.git
#
# Distributed under the MIT/X11 software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from __future__ import absolute_import, divisio... | {
"repo_name": "obulpathi/bitcoinpy",
"path": "bitcoinpy/lib/base58.py",
"copies": "1",
"size": "2874",
"license": "mit",
"hash": -3871590209299115500,
"line_mean": 26.1132075472,
"line_max": 105,
"alpha_frac": 0.6078636047,
"autogenerated": false,
"ratio": 3.3811764705882354,
"config_test": fal... |
"""Base64 plugin for Babbage.
Copyright 2014 Google Inc. 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/licenses/LICENSE-2.0
Unless required by app... | {
"repo_name": "tomscript/babbage",
"path": "backend/plugins/base_64.py",
"copies": "1",
"size": "2950",
"license": "apache-2.0",
"hash": -5237625938461638000,
"line_mean": 27.640776699,
"line_max": 82,
"alpha_frac": 0.6922033898,
"autogenerated": false,
"ratio": 3.922872340425532,
"config_test"... |
BASE = 9
BLOCK_HEIGHT = 3
BLOCK_WIDTH = 3
field = [
[1, 2, 3, 4, 5, 6, 7, 8, 9],
[4, 5, 6, 7, 8, 9, 1, 2, 3],
[7, 8, 9, 1, 2, 3, 4, 5, 6],
[2, 3, 4, 5, 6, 7, 8, 9, 1],
[5, 6, 7, 8, 9, 1, 2, 3, 4],
[8, 9, 1, 2, 3, 4, 5, 6, 7],
[3, 4, 5, 6, 7, 8, 9, 1, 2],
[6, 7, 8, 9, 1, 2, 3, 4, 5],
[9, 1, 2, 3, 4, 5, 6, 7, 8]
]
def ... | {
"repo_name": "dgelessus/pythonista-scripts",
"path": "BaseNSudoku.py",
"copies": "1",
"size": "8747",
"license": "mit",
"hash": 3730677954531984000,
"line_mean": 39.3087557604,
"line_max": 143,
"alpha_frac": 0.4462101292,
"autogenerated": false,
"ratio": 4.319506172839506,
"config_test": false... |
"""Base actions for the players to take."""
from csrv.model.actions import action
from csrv.model import appropriations
from csrv.model import cost
from csrv.model import errors
from csrv.model import events
from csrv.model import game_object
from csrv.model import parameters
from csrv.model.cards import card_info
c... | {
"repo_name": "mrroach/CentralServer",
"path": "csrv/model/actions/install_program.py",
"copies": "1",
"size": "1919",
"license": "apache-2.0",
"hash": 5248488296807453000,
"line_mean": 35.2075471698,
"line_max": 80,
"alpha_frac": 0.7144346014,
"autogenerated": false,
"ratio": 3.740740740740741,
... |
"""Base actions for the players to take."""
from csrv.model.actions import action
from csrv.model import cost
from csrv.model import errors
from csrv.model import events
from csrv.model import game_object
from csrv.model import modifiers
from csrv.model import parameters
class StealAgenda(action.Action):
DESCRIPT... | {
"repo_name": "mrroach/CentralServer",
"path": "csrv/model/actions/steal_agenda.py",
"copies": "1",
"size": "1115",
"license": "apache-2.0",
"hash": 2719068467191657500,
"line_mean": 28.3421052632,
"line_max": 80,
"alpha_frac": 0.7237668161,
"autogenerated": false,
"ratio": 3.318452380952381,
"... |
"""Base actions for the players to take."""
from csrv.model import cost
from csrv.model import errors
from csrv.model import events
from csrv.model import game_object
from csrv.model import parameters
class Action(game_object.PlayerObject):
COST_CLASS = cost.NullCost
REQUEST_CLASS = parameters.NullRequest
DESC... | {
"repo_name": "mrroach/CentralServer",
"path": "csrv/model/actions/action.py",
"copies": "1",
"size": "1130",
"license": "apache-2.0",
"hash": -7533253262944908000,
"line_mean": 24.1111111111,
"line_max": 80,
"alpha_frac": 0.703539823,
"autogenerated": false,
"ratio": 3.5646687697160884,
"confi... |
"""Base ActivityProvider class"""
class ActivityProvider(object):
"""
Base class for activity providers (networks that provide social activity)
"""
def get_activity(self):
"""Returns a list of ActivityInfo objects representing the provider's activity"""
raise NotImplementedError
d... | {
"repo_name": "intuinno/vistalk",
"path": "activitysync/providers/__init__.py",
"copies": "1",
"size": "1289",
"license": "mit",
"hash": -7013234620204202000,
"line_mean": 32.9210526316,
"line_max": 120,
"alpha_frac": 0.6578743212,
"autogenerated": false,
"ratio": 4.957692307692308,
"config_tes... |
"""Base admin models."""
from django.db import models
from django.utils import timezone
from modoboa.lib.permissions import (
grant_access_to_object, ungrant_access_to_object
)
class AdminObject(models.Model):
"""Abstract model to support dates.
Inherit from this model to automatically add the "dates" ... | {
"repo_name": "carragom/modoboa",
"path": "modoboa/admin/models/base.py",
"copies": "1",
"size": "1161",
"license": "isc",
"hash": 1109066344567271800,
"line_mean": 26,
"line_max": 68,
"alpha_frac": 0.6589147287,
"autogenerated": false,
"ratio": 4.045296167247387,
"config_test": false,
"has_n... |
"""Base admin models."""
from __future__ import unicode_literals
from django.db import models
from django.utils import timezone
from modoboa.lib.permissions import (
grant_access_to_object, ungrant_access_to_object
)
class AdminObject(models.Model):
"""Abstract model to support dates.
Inherit from thi... | {
"repo_name": "bearstech/modoboa",
"path": "modoboa/admin/models/base.py",
"copies": "1",
"size": "1635",
"license": "isc",
"hash": 3581070642628328400,
"line_mean": 27.6842105263,
"line_max": 75,
"alpha_frac": 0.6422018349,
"autogenerated": false,
"ratio": 4.037037037037037,
"config_test": fal... |
# Base agent for Azure CITest scenario
# pylint: disable=W0311
"""Adapts citest CliAgent to interact with Microsoft Azure using AZ 2.0 CLI"""
# Python modules
import logging
# CITest Modules
import citest.service_testing.cli_agent as cli_agent
class AzAgent(cli_agent.CliAgent):
""" The Agent that uses az 2.0 cl... | {
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"path": "citest/azure_testing/az_agent.py",
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""" Base analysis class for analysing DOS and BLOCHSF data """
import os
import sys
import inspect
import math
import time
from operator import itemgetter
from scipy import integrate
from scipy.optimize import curve_fit
# Add extra libraries' directories to import list
baseLibDir = os.path.join(os.path.realpath(os.pat... | {
"repo_name": "nelsyeung/half-metals-analysis",
"path": "lib/analysis.py",
"copies": "1",
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"""Base and fundamental classes used all over the library.
Besides classes, several constants are defined here. We designed
python-openflow in a manner to make it easy to create new messages and OpenFlow
structs. You can realize that when you see a message class definition.
A **struct** here is a group of basic attri... | {
"repo_name": "kytos/python-openflow",
"path": "pyof/foundation/base.py",
"copies": "1",
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"""Base and mixin classes for nearest neighbors"""
# Authors: Jake Vanderplas <vanderplas@astro.washington.edu>
# Fabian Pedregosa <fabian.pedregosa@inria.fr>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Sparseness support by Lars Buitinck <L.J.Buitinck@uva.nl>
# Multi-output... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scikit-learn-master/sklearn/neighbors/base.py",
"copies": "1",
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"license": "mit",
"hash": -8438701877993874000,
"line_mean": 37.3902132999,
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"autogenerated": false,
"ratio": 4.... |
# base annotation policy for specialization
from rpython.annotator.specialize import default_specialize as default
from rpython.annotator.specialize import (
specialize_argvalue, specialize_argtype, specialize_arglistitemtype,
specialize_arg_or_var, memo, specialize_call_location)
from rpython.flowspace.operati... | {
"repo_name": "oblique-labs/pyVM",
"path": "rpython/annotator/policy.py",
"copies": "1",
"size": "4296",
"license": "mit",
"hash": -6551360259409762000,
"line_mean": 41.96,
"line_max": 93,
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"h... |
"""Base API for Lasco."""
from datetime import datetime
import logging
import os.path
from sqlalchemy.orm import join as orm_join
from lasco.ext import exif
from lasco.models import Album
from lasco.models import AlbumViewer
from lasco.models import Gallery
from lasco.models import GalleryAdministrator
from lasco.mo... | {
"repo_name": "dbaty/Lasco",
"path": "lasco/api.py",
"copies": "1",
"size": "7234",
"license": "bsd-3-clause",
"hash": -2627317214950731000,
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"has_... |
BASE_API = "https://api.linkedin.com/v1/"
"""
Profile resources
Documentation: http://developer.linkedin.com/documents/profile-api
"""
PROFILE = BASE_API + "people"
"""
Groups resources
Documentation: http://developer.linkedin.com/documents/groups
"""
GROUP_MEMBERSHIPS = BASE_API + "people/~/group-memberships:(grou... | {
"repo_name": "kylemcc/pylinkedin",
"path": "pylinkedin/endpoints.py",
"copies": "1",
"size": "1389",
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"""Base API Module."""
from __future__ import absolute_import
import logging
from concurrent.futures import ThreadPoolExecutor
import requests
from . import meta
from .accounts import Account
from .market import Market
from .orders import Orders
from .quotes import Quotes
from .receive import Receive
from .utils imp... | {
"repo_name": "grantstephens/pyluno",
"path": "pyluno/api.py",
"copies": "1",
"size": "5211",
"license": "mit",
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"alpha_frac": 0.6140855882,
"autogenerated": false,
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"has_n... |
"""Base API resource."""
from __future__ import absolute_import
import collections
import logging
import math
import re
from apispec import utils
from flask import request, current_app, abort, Response
from flask._compat import with_metaclass
from flask.json import dumps
from flask.views import View
from . import A... | {
"repo_name": "klen/flask-restler",
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"copies": "1",
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"""Base apollo client
"""
import json
import logging
import requests
try:
from shlex import quote
except ImportError:
from pipes import quote
log = logging.getLogger()
class Client(object):
"""
Base client class implementing methods to make requests to the server
"""
CLIENT_BASE = '/'
de... | {
"repo_name": "erasche/python-apollo",
"path": "apollo/client.py",
"copies": "1",
"size": "3325",
"license": "mit",
"hash": -9194137594868901000,
"line_mean": 31.9207920792,
"line_max": 110,
"alpha_frac": 0.5398496241,
"autogenerated": false,
"ratio": 4.251918158567775,
"config_test": false,
... |
"""Base application database model class.
Provides the base for application models.
Defines the base required fields.
Defines the base required functions of application object classes to be synced.
Usage:
See app_model.py
License:
The MIT License (MIT), see LICENSE.txt for more details.
Copyright:
Copyr... | {
"repo_name": "gavingc/TuckerSync",
"path": "base_model.py",
"copies": "1",
"size": "2094",
"license": "mit",
"hash": -4237607981918108700,
"line_mean": 25.8461538462,
"line_max": 79,
"alpha_frac": 0.5463228271,
"autogenerated": false,
"ratio": 4.073929961089494,
"config_test": false,
"has_no... |
"Base app"
import urllib
import datetime
from flask import Blueprint, after_this_request, request, redirect, current_app
base = Blueprint("base", __name__)
@base.before_app_request
def detect_user_locale():
request_args = request.args.to_dict()
locale = request_args.pop("locale", None)
if locale is not ... | {
"repo_name": "ministryofjustice/cla_public",
"path": "cla_public/apps/base/__init__.py",
"copies": "1",
"size": "1057",
"license": "mit",
"hash": -4634351275354178000,
"line_mean": 31.0303030303,
"line_max": 79,
"alpha_frac": 0.6490066225,
"autogenerated": false,
"ratio": 4.049808429118774,
"c... |
""" Base association measure estimators. """
from numpy import mean, prod, triu, ones, dot, sum, maximum, all
from scipy.special import binom
from ite.cost.x_initialization import InitX
from ite.cost.x_verification import VerOneDSubspaces, VerCompSubspaceDims
from ite.shared import copula_transformation
class BASpe... | {
"repo_name": "gdikov/vae-playground",
"path": "third_party/ite/cost/base_a.py",
"copies": "1",
"size": "19263",
"license": "mit",
"hash": 8382078373014410000,
"line_mean": 33.7081081081,
"line_max": 79,
"alpha_frac": 0.5816331828,
"autogenerated": false,
"ratio": 3.928819090352845,
"config_tes... |
"""Base async HTTP client implementation."""
from __future__ import absolute_import, unicode_literals
import sys
from vine import Thenable, promise, maybe_promise
from kombu.exceptions import HttpError
from kombu.five import items, python_2_unicode_compatible
from kombu.utils.compat import coro
from kombu.utils.enco... | {
"repo_name": "cloudera/hue",
"path": "desktop/core/ext-py/kombu-4.3.0/kombu/asynchronous/http/base.py",
"copies": "4",
"size": "9501",
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"""Base async HTTP client implementation."""
import sys
from http.client import responses
from vine import Thenable, promise, maybe_promise
from kombu.exceptions import HttpError
from kombu.utils.compat import coro
from kombu.utils.encoding import bytes_to_str
from kombu.utils.functional import maybe_list, memoize
... | {
"repo_name": "celery/kombu",
"path": "kombu/asynchronous/http/base.py",
"copies": "1",
"size": "9244",
"license": "bsd-3-clause",
"hash": -6226154969626899000,
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"line_max": 79,
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"autogenerated": false,
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"config_te... |
"""Base async HTTP client implementation."""
import sys
from vine import Thenable, promise, maybe_promise
from kombu.exceptions import HttpError
from kombu.utils.compat import coro
from kombu.utils.encoding import bytes_to_str
from kombu.utils.functional import maybe_list, memoize
try: # pragma: no cover
from ... | {
"repo_name": "ZoranPavlovic/kombu",
"path": "kombu/asynchronous/http/base.py",
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"""Base authorization API.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import logging
import json
import http.client
import flask
import flask_restplus as restplus
from treadmill import webutils
_LOGGER = l... | {
"repo_name": "Morgan-Stanley/treadmill",
"path": "lib/python/treadmill/rest/api/authz/authz_base.py",
"copies": "2",
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"license": "apache-2.0",
"hash": -6379348529045450000,
"line_mean": 27.9305555556,
"line_max": 77,
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"autogenerated": false,
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"""Base backend for traces
See the docstring for pymc3.backends for more information (including
creating custom backends).
"""
import numpy as np
from ..model import modelcontext
class BackendError(Exception):
pass
class BaseTrace(object):
"""Base trace object
Parameters
----------
name : str
... | {
"repo_name": "kmather73/pymc3",
"path": "pymc3/backends/base.py",
"copies": "13",
"size": "8778",
"license": "apache-2.0",
"hash": -3317011535465474600,
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"line_max": 77,
"alpha_frac": 0.5758714969,
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"""Base backend for traces
See the docstring for pymc3.backends for more information (including
creating custom backends).
"""
import numpy as np
from ..model import modelcontext, TransformedRV
class BackendError(Exception):
pass
class BaseTrace(object):
"""Base trace object
Parameters
----------
... | {
"repo_name": "wanderer2/pymc3",
"path": "pymc3/backends/base.py",
"copies": "1",
"size": "8790",
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"""Base backend for traces
See the docstring for pymc3.backends for more information (includng
creating custom backends).
"""
import numpy as np
from ..model import modelcontext
class BackendError(Exception):
pass
class BaseTrace(object):
"""Base trace object
Parameters
----------
name : str
... | {
"repo_name": "MCGallaspy/pymc3",
"path": "pymc3/backends/base.py",
"copies": "1",
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"""Base backend for traces
See the docstring for pymc.backends for more information (includng
creating custom backends).
"""
import numpy as np
from ..model import modelcontext
class BaseTrace(object):
"""Base trace object
Parameters
----------
name : str
Name of backend
model : Model
... | {
"repo_name": "nmmarquez/pymc",
"path": "pymc3/backends/base.py",
"copies": "1",
"size": "7378",
"license": "apache-2.0",
"hash": 5402439260986790000,
"line_mean": 27.0532319392,
"line_max": 77,
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"""Base backend interface."""
import os
import stat
import sys
class JobSourceFile(object):
"""Describes a source code file for a job.
Parameters
----------
path : str
Path to write the source file to.
task : Task
Task the source file corresponds to.
job_code : str
Jo... | {
"repo_name": "jgosmann/psyrun",
"path": "psyrun/backend/base.py",
"copies": "1",
"size": "6736",
"license": "mit",
"hash": 5008179260922566000,
"line_mean": 29.0714285714,
"line_max": 79,
"alpha_frac": 0.5653206651,
"autogenerated": false,
"ratio": 4.402614379084968,
"config_test": false,
"h... |
#baseballtest
import random
inning_results = {0:0, 1:0, 2:0, 3:0, 4:0}
game_results = {}
max_strikes = 3
max_outs = 3
max_hits = 4
max_innings = 9
max_games = 1000
def play_inning (deck):
random.shuffle (deck)
outs = 0
i = 0
hits = 0
strikes = 0
while outs < max_outs and hits < max_hi... | {
"repo_name": "SkyTruth/scraper",
"path": "nrc/nrc/baseball.py",
"copies": "1",
"size": "1165",
"license": "mit",
"hash": -1533845706380372700,
"line_mean": 19.1034482759,
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"autogenerated": false,
"ratio": 3.1149732620320854,
"config_test": false,
"h... |
_base_ = '../_base_/default_runtime.py'
# dataset settings
dataset_type = 'CocoDataset'
data_root = 'data/coco/'
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True)
# In mstrain 3x config, img_scale=[(1333, 640), (1333, 800)],
# multiscale_mode='range'
train_pipeline = [
... | {
"repo_name": "open-mmlab/mmdetection",
"path": "configs/common/mstrain-poly_3x_coco_instance.py",
"copies": "1",
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"hash": -715757551040519200,
"line_mean": 30.45,
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"alpha_frac": 0.5989666137,
"autogenerated": false,
"ratio": 3.29750982961992... |
"""Base body storage class used in simulations
"""
import numpy as np
import copy
class Bodies(object):
def __init__(self, r=None, v=None, m=None, t=0, tags=None):
self.r = r
self.v = v
self.m = m
self.t = t
self.tags = tags
def to_array(self):
array = np.conca... | {
"repo_name": "kostassabulis/nbody-workshop-2015",
"path": "nbody/bodies.py",
"copies": "1",
"size": "1915",
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"""Base Bolt classes."""
from collections import defaultdict
import os
import signal
import sys
import threading
import time
from base import Component
from ipc import read_handshake, read_tuple, send_message, json, _stdout, Tuple
class Bolt(Component):
"""The base class for all streamparse bolts.
For more ... | {
"repo_name": "thedrow/streamparse",
"path": "streamparse/bolt.py",
"copies": "1",
"size": "9355",
"license": "apache-2.0",
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"""Base Bolt classes."""
from __future__ import absolute_import, print_function, unicode_literals
from collections import defaultdict
import os
import signal
import sys
import threading
import time
import warnings
import logging
from six import iteritems, reraise, PY3
from .base import Component
from .ipc import (re... | {
"repo_name": "scrapinghub/streamparse",
"path": "streamparse/bolt.py",
"copies": "1",
"size": "16373",
"license": "apache-2.0",
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"line_max": 130,
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"config_test"... |
"""Base bolt classes."""
from __future__ import absolute_import, print_function, unicode_literals
import logging
from collections import defaultdict
from six import iteritems, itervalues
from .component import Component, Tuple
log = logging.getLogger(__name__)
class Bolt(Component):
"""The base class for all... | {
"repo_name": "phanib4u/streamparse",
"path": "streamparse/storm/bolt.py",
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"""Base bolt classes."""
from __future__ import absolute_import, print_function, unicode_literals
import logging
import os
import re
import signal
import sys
import threading
import time
from collections import defaultdict, namedtuple
from six import iteritems, itervalues, reraise
from .component import Component, T... | {
"repo_name": "pystorm/pystorm",
"path": "pystorm/bolt.py",
"copies": "1",
"size": "20941",
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... |
"""Base bolt classes."""
from __future__ import absolute_import, print_function, unicode_literals
import logging
import sys
from collections import defaultdict
from six import iteritems, itervalues, string_types, reraise
from six.moves import range
from .component import Component, Tuple
log = logging.getLogger(__... | {
"repo_name": "petchat/streamparse",
"path": "streamparse/storm/bolt.py",
"copies": "4",
"size": "17010",
"license": "apache-2.0",
"hash": 9062401166686428000,
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"line_max": 167,
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"ratio": 4.332654100866021,
"config_te... |
"""Base BS
"""
import logging
import time
from twork.errors import ArgumentEmptyError
from twork.utils.object_likefy import ObjectLikefy
from twork_app.module import Module
gen_logger = logging.getLogger('twork.general')
class BaseBS(object):
"""Base BS
"""
INPUT_ARGUMENTS = ('queryid', )
INNER_AR... | {
"repo_name": "bufferx/twork",
"path": "scaffold/twork_app/twork_app/domain/bs/base.py",
"copies": "1",
"size": "1844",
"license": "apache-2.0",
"hash": 2800691955285103600,
"line_mean": 21.487804878,
"line_max": 69,
"alpha_frac": 0.5417570499,
"autogenerated": false,
"ratio": 4.008695652173913,
... |
"Base Cache class."
from __future__ import unicode_literals
import time
import warnings
from django.core.exceptions import DjangoRuntimeWarning, ImproperlyConfigured
from django.utils.module_loading import import_string
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRun... | {
"repo_name": "frdb194/django",
"path": "django/core/cache/backends/base.py",
"copies": "66",
"size": "9678",
"license": "bsd-3-clause",
"hash": 1914885521668080600,
"line_mean": 34.9776951673,
"line_max": 91,
"alpha_frac": 0.6121099401,
"autogenerated": false,
"ratio": 4.3732489832806145,
"con... |
"Base Cache class."
from __future__ import unicode_literals
import time
import warnings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
from django.utils.module_loading import import_by_path
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRu... | {
"repo_name": "TimBuckley/effective_django",
"path": "django/core/cache/backends/base.py",
"copies": "8",
"size": "8747",
"license": "bsd-3-clause",
"hash": 1383132267322072000,
"line_mean": 34.2701612903,
"line_max": 91,
"alpha_frac": 0.614153424,
"autogenerated": false,
"ratio": 4.3366385721368... |
"Base Cache class."
from __future__ import unicode_literals
import warnings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
from django.utils.importlib import import_module
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning):
p... | {
"repo_name": "RaoUmer/django",
"path": "django/core/cache/backends/base.py",
"copies": "4",
"size": "7901",
"license": "bsd-3-clause",
"hash": -3338039213068735000,
"line_mean": 34.4304932735,
"line_max": 87,
"alpha_frac": 0.608150867,
"autogenerated": false,
"ratio": 4.2754329004329,
"config_... |
"Base Cache class."
from __future__ import unicode_literals
import warnings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
from django.utils.module_loading import import_by_path
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning... | {
"repo_name": "jgeskens/django",
"path": "django/core/cache/backends/base.py",
"copies": "7",
"size": "7842",
"license": "bsd-3-clause",
"hash": 9061437863067312000,
"line_mean": 32.9480519481,
"line_max": 87,
"alpha_frac": 0.6062229023,
"autogenerated": false,
"ratio": 4.289934354485776,
"conf... |
"Base Cache class."
import time
import warnings
from django.core.exceptions import DjangoRuntimeWarning, ImproperlyConfigured
from django.utils.module_loading import import_string
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning):
pass
# Stub class to ... | {
"repo_name": "bak1an/django",
"path": "django/core/cache/backends/base.py",
"copies": "6",
"size": "9688",
"license": "bsd-3-clause",
"hash": 4321672568833922000,
"line_mean": 35.1492537313,
"line_max": 91,
"alpha_frac": 0.6122006606,
"autogenerated": false,
"ratio": 4.381727725011307,
"config... |
"Base Cache class."
import time
import warnings
from django.core.exceptions import ImproperlyConfigured
from django.utils.module_loading import import_string
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(RuntimeWarning):
pass
class InvalidCacheKey(ValueError):
pass
... | {
"repo_name": "elena/django",
"path": "django/core/cache/backends/base.py",
"copies": "18",
"size": "10322",
"license": "bsd-3-clause",
"hash": 2316181298266403000,
"line_mean": 34.3493150685,
"line_max": 91,
"alpha_frac": 0.6155783763,
"autogenerated": false,
"ratio": 4.362637362637362,
"confi... |
"Base Cache class."
from django.core.exceptions import ImproperlyConfigured
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class BaseCache(object):
def __init__(self, params):
timeout = params.get('timeout', 300)
try:
timeout = int(timeout)
except (ValueError, ... | {
"repo_name": "diofeher/django-nfa",
"path": "build/lib/django/core/cache/backends/base.py",
"copies": "5",
"size": "1997",
"license": "bsd-3-clause",
"hash": -3974992380225139700,
"line_mean": 29.2575757576,
"line_max": 78,
"alpha_frac": 0.5938908363,
"autogenerated": false,
"ratio": 4.612009237... |
"Base Cache class."
import warnings
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
from django.utils.encoding import smart_str
from django.utils.importlib import import_module
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKe... | {
"repo_name": "pwoodworth/intellij-community",
"path": "python/lib/Lib/site-packages/django/core/cache/backends/base.py",
"copies": "232",
"size": "7960",
"license": "apache-2.0",
"hash": 2958513758460299300,
"line_mean": 34.5357142857,
"line_max": 87,
"alpha_frac": 0.6099246231,
"autogenerated": f... |
"Base Cache class."
import warnings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
from django.utils.encoding import smart_text
from django.utils.importlib import import_module
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning):
... | {
"repo_name": "vsajip/django",
"path": "django/core/cache/backends/base.py",
"copies": "1",
"size": "7930",
"license": "bsd-3-clause",
"hash": 7201202930609392000,
"line_mean": 34.5605381166,
"line_max": 87,
"alpha_frac": 0.6090794451,
"autogenerated": false,
"ratio": 4.268030139935415,
"config... |
"Base Cache class."
import warnings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning):
pass
# Memcached does not accept keys longer than this.
MEMCACHE_MAX_KEY_LENGTH = 250
cl... | {
"repo_name": "SRabbelier/Melange",
"path": "thirdparty/google_appengine/lib/django_1_2/django/core/cache/backends/base.py",
"copies": "46",
"size": "4723",
"license": "apache-2.0",
"hash": -9220941798000891000,
"line_mean": 31.7986111111,
"line_max": 80,
"alpha_frac": 0.5905145035,
"autogenerated"... |
"Base Cache class."
import warnings
from google.appengine._internal.django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning):
pass
# Memcached does not accept keys longer than this.
MEMCAC... | {
"repo_name": "GdZ/scriptfile",
"path": "software/googleAppEngine/google/appengine/_internal/django/core/cache/backends/base.py",
"copies": "23",
"size": "4750",
"license": "mit",
"hash": 8115661927362747000,
"line_mean": 31.9861111111,
"line_max": 104,
"alpha_frac": 0.592,
"autogenerated": false,
... |
"Base Cache class."
from __future__ import unicode_literals
import time
import warnings
from django.core.exceptions import DjangoRuntimeWarning, ImproperlyConfigured
from django.utils.module_loading import import_string
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRun... | {
"repo_name": "letouriste001/SmartForest_2.0",
"path": "python3.4Smartforest/lib/python3.4/site-packages/django/core/cache/backends/base.py",
"copies": "1",
"size": "9775",
"license": "mit",
"hash": 7511996124702477000,
"line_mean": 35.3382899628,
"line_max": 91,
"alpha_frac": 0.6138107417,
"autoge... |
"Base Cache class."
from __future__ import unicode_literals
import time
import warnings
from django.core.exceptions import DjangoRuntimeWarning, ImproperlyConfigured
from django.utils.module_loading import import_string
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWar... | {
"repo_name": "diego-d5000/MisValesMd",
"path": "env/lib/python2.7/site-packages/django/core/cache/backends/base.py",
"copies": "1",
"size": "9042",
"license": "mit",
"hash": 8886558060482284000,
"line_mean": 34.313253012,
"line_max": 91,
"alpha_frac": 0.596107056,
"autogenerated": false,
"ratio"... |
"Base Cache class."
from django.core.exceptions import ImproperlyConfigured
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class BaseCache(object):
def __init__(self, params):
timeout = params.get('timeout', 300)
try:
timeout = int(timeout)
except (... | {
"repo_name": "greggian/TapdIn",
"path": "django/core/cache/backends/base.py",
"copies": "1",
"size": "3033",
"license": "apache-2.0",
"hash": -2614740060100240400,
"line_mean": 30.6129032258,
"line_max": 80,
"alpha_frac": 0.5694032311,
"autogenerated": false,
"ratio": 4.616438356164384,
"confi... |
"Base Cache class."
import warnings
from django.conf import settings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
from django.utils.encoding import smart_str
from django.utils.importlib import import_module
class InvalidCacheBackendError(ImproperlyConfigured):
pass
c... | {
"repo_name": "rimbalinux/LMD3",
"path": "django/core/cache/backends/base.py",
"copies": "3",
"size": "8184",
"license": "bsd-3-clause",
"hash": -7263210723632236000,
"line_mean": 34.5357142857,
"line_max": 87,
"alpha_frac": 0.593230694,
"autogenerated": false,
"ratio": 4.376470588235295,
"conf... |
"Base Cache class."
import warnings
from django.core.exceptions import ImproperlyConfigured, DjangoRuntimeWarning
class InvalidCacheBackendError(ImproperlyConfigured):
pass
class CacheKeyWarning(DjangoRuntimeWarning):
pass
# Memcached does not accept keys longer than this.
MEMCACHE_MAX_KEY_LEN... | {
"repo_name": "egenerat/flight-manager",
"path": "django/core/cache/backends/base.py",
"copies": "9",
"size": "5274",
"license": "mit",
"hash": -4128707916522810400,
"line_mean": 31.8076923077,
"line_max": 80,
"alpha_frac": 0.5703450891,
"autogenerated": false,
"ratio": 4.566233766233767,
"conf... |
"""BaseCache for foundation of app-specific caching strategy."""
from calendar import timegm
from datetime import date, datetime, timedelta
from pytz import utc
import json
from django.conf import settings
from django.db.models.loading import get_model
from .models import PkOnlyModel, PkOnlyQueryset
class BaseCach... | {
"repo_name": "fpruitt/drf-cached-instances",
"path": "drf_cached_instances/cache.py",
"copies": "1",
"size": "10759",
"license": "mpl-2.0",
"hash": -5378721982671563000,
"line_mean": 35.2255892256,
"line_max": 79,
"alpha_frac": 0.5634352635,
"autogenerated": false,
"ratio": 4.2626782884310614,
... |
_base_ = ['./cascade_mask_rcnn_r50_fpn_1x_coco.py']
model = dict(
backbone=dict(
norm_cfg=dict(requires_grad=False),
norm_eval=True,
style='caffe',
init_cfg=dict(
type='Pretrained',
checkpoint='open-mmlab://detectron2/resnet50_caffe')))
img_norm_cfg = dict(
... | {
"repo_name": "open-mmlab/mmdetection",
"path": "configs/cascade_rcnn/cascade_mask_rcnn_r50_caffe_fpn_1x_coco.py",
"copies": "1",
"size": "1426",
"license": "apache-2.0",
"hash": -8514247631474514000,
"line_mean": 33.7804878049,
"line_max": 77,
"alpha_frac": 0.5890603086,
"autogenerated": false,
... |
_base_ = '../cascade_rcnn/cascade_mask_rcnn_r50_fpn_1x_coco.py'
model = dict(
backbone=dict(
_delete_=True,
type='HRNet',
extra=dict(
stage1=dict(
num_modules=1,
num_branches=1,
block='BOTTLENECK',
num_blocks=(4, ),
... | {
"repo_name": "open-mmlab/mmdetection",
"path": "configs/hrnet/cascade_mask_rcnn_hrnetv2p_w32_20e_coco.py",
"copies": "1",
"size": "1296",
"license": "apache-2.0",
"hash": -6851308429503793000,
"line_mean": 31.4,
"line_max": 76,
"alpha_frac": 0.4452160494,
"autogenerated": false,
"ratio": 3.70285... |
_base_ = '../cascade_rcnn/cascade_rcnn_r50_fpn_1x_coco.py'
model = dict(
backbone=dict(
_delete_=True,
type='HRNet',
extra=dict(
stage1=dict(
num_modules=1,
num_branches=1,
block='BOTTLENECK',
num_blocks=(4, ),
... | {
"repo_name": "open-mmlab/mmdetection",
"path": "configs/hrnet/cascade_rcnn_hrnetv2p_w32_20e_coco.py",
"copies": "1",
"size": "1291",
"license": "apache-2.0",
"hash": 2735966187154478000,
"line_mean": 31.275,
"line_max": 76,
"alpha_frac": 0.443841983,
"autogenerated": false,
"ratio": 3.7097701149... |
_base_ = './cascade_rcnn_r50_fpn_1x_coco.py'
model = dict(
backbone=dict(
norm_cfg=dict(requires_grad=False),
style='caffe',
init_cfg=dict(
type='Pretrained',
checkpoint='open-mmlab://detectron2/resnet50_caffe')))
# use caffe img_norm
img_norm_cfg = dict(
mean=[... | {
"repo_name": "open-mmlab/mmdetection",
"path": "configs/cascade_rcnn/cascade_rcnn_r50_caffe_fpn_1x_coco.py",
"copies": "1",
"size": "1389",
"license": "apache-2.0",
"hash": -483998045570156500,
"line_mean": 32.0714285714,
"line_max": 72,
"alpha_frac": 0.5903527718,
"autogenerated": false,
"ratio... |
'''Base CGI module.
'''
#
# Copyright (c) 2005,2006 shinGETsu Project.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
# 1. Redistributions of source code must retain the above copyright
# no... | {
"repo_name": "shingetsu/saku-ex",
"path": "shingetsu/basecgi.py",
"copies": "1",
"size": "3235",
"license": "bsd-2-clause",
"hash": 7743352114553003000,
"line_mean": 28.4090909091,
"line_max": 76,
"alpha_frac": 0.6145285935,
"autogenerated": false,
"ratio": 4.1157760814249365,
"config_test": f... |
"""Base chado client
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import re
from chado.exceptions import RecordNotFoundError
from chakin.io import warn
from future import standard_library
standard_library.in... | {
"repo_name": "abretaud/python-chado",
"path": "chado/client.py",
"copies": "1",
"size": "15262",
"license": "mit",
"hash": 5532116552060476000,
"line_mean": 42.1129943503,
"line_max": 201,
"alpha_frac": 0.5959245184,
"autogenerated": false,
"ratio": 3.704368932038835,
"config_test": false,
"... |
"""Base class and common code for :py:mod:`dirq` package.
It is used internally by :py:mod:`dirq` modules and should not
be used elsewhere.
Author
------
Konstantin Skaburskas \<konstantin.skaburskas@gmail.com\>
License and Copyright
---------------------
ASL 2.0
Copyright (C) 2010-2012
"""
import dirq
__author_... | {
"repo_name": "StratusLab/client",
"path": "api/code/src/main/python/dirq/QueueBase.py",
"copies": "1",
"size": "9810",
"license": "apache-2.0",
"hash": -305705174557640800,
"line_mean": 27.6842105263,
"line_max": 80,
"alpha_frac": 0.5608562691,
"autogenerated": false,
"ratio": 4.113207547169812,... |
"""Base class and common objects for webdb drivers
Drivers written for webdb should subclass ``driver_base``.
"""
from ... import container
import datetime
import errno
import collections
rerrorcode = dict(zip(errno.errorcode.values(), errno.errorcode.keys()))
def make_IOError(code, message):
e = IOError(rerr... | {
"repo_name": "orbnauticus/silk",
"path": "silk/webdb/drivers/base.py",
"copies": "1",
"size": "20885",
"license": "bsd-3-clause",
"hash": 3528316708546300400,
"line_mean": 35.704745167,
"line_max": 78,
"alpha_frac": 0.5907110366,
"autogenerated": false,
"ratio": 3.8647298297557366,
"config_tes... |
'''Base class and framework for intermediate representation
'''
import sys
import new
import operator
from functools import partial
from ..runtime.func import identity
from ..runtime.collections import OrderedSet
from ..runtime.multimethod import MultiMethod, defmethod
from ..runtime.ports import (Port, connect, disc... | {
"repo_name": "matthagy/Jamenson",
"path": "jamenson/compiler/irbase.py",
"copies": "1",
"size": "11017",
"license": "apache-2.0",
"hash": 6739170040078012000,
"line_mean": 28.0686015831,
"line_max": 102,
"alpha_frac": 0.5849142235,
"autogenerated": false,
"ratio": 3.703193277310924,
"config_te... |
"""Base class and functions for compilers"""
from itertools import product
from collections import namedtuple, OrderedDict
from compilertools._utils import import_class, BaseClass
from compilertools._config import CONFIG
from compilertools.processors import get_processor, get_arch
__all__ = ["CompilerBase", "get_compi... | {
"repo_name": "JGoutin/compilertools",
"path": "compilertools/compilers/_core.py",
"copies": "1",
"size": "8138",
"license": "bsd-2-clause",
"hash": -8884811720571190000,
"line_mean": 27.2569444444,
"line_max": 87,
"alpha_frac": 0.5844187761,
"autogenerated": false,
"ratio": 4.893565844858689,
... |
"""Base class and functions for CPU"""
from platform import machine
from compilertools._utils import import_class, BaseClass
from compilertools._config import CONFIG
__all__ = ["ProcessorBase", "get_processor", "get_arch"]
def get_arch(arch=None):
"""Checks architecture name and returns fixed name.
Paramet... | {
"repo_name": "JGoutin/compilertools",
"path": "compilertools/processors/_core.py",
"copies": "1",
"size": "1982",
"license": "bsd-2-clause",
"hash": -8512978023606142000,
"line_mean": 23.1707317073,
"line_max": 82,
"alpha_frac": 0.5807265388,
"autogenerated": false,
"ratio": 4.375275938189845,
... |
"""Base class and original SMOTE methods for over-sampling"""
# Authors: Guillaume Lemaitre <g.lemaitre58@gmail.com>
# Fernando Nogueira
# Christos Aridas
# Dzianis Dudnik
# License: MIT
import math
from collections import Counter
import numpy as np
from scipy import sparse
from scipy impo... | {
"repo_name": "fmfn/UnbalancedDataset",
"path": "imblearn/over_sampling/_smote/base.py",
"copies": "2",
"size": "26828",
"license": "mit",
"hash": -8210677648125665000,
"line_mean": 35.0591397849,
"line_max": 99,
"alpha_frac": 0.6088415089,
"autogenerated": false,
"ratio": 3.8183888414460574,
"... |
"""Base class and task for commands."""
import traceback
from .tasks import Task
class CommandFailedException(BaseException):
"""Class to represent a failure in a command. Used to avoid printing multiple tracebacks on nested commands."""
pass
class _CommandMeta(type):
"""
Metaclass (object that rep... | {
"repo_name": "javitonino/tosh",
"path": "tosh/command.py",
"copies": "1",
"size": "2434",
"license": "bsd-3-clause",
"hash": -5032326358619354000,
"line_mean": 29.049382716,
"line_max": 115,
"alpha_frac": 0.6109285127,
"autogenerated": false,
"ratio": 4.46605504587156,
"config_test": false,
... |
"""Base Class and Utilities for Cake Tools.
@see: Cake Build System (http://sourceforge.net/projects/cake-build)
@copyright: Copyright (c) 2010 Lewis Baker, Stuart McMahon.
@license: Licensed under the MIT license.
"""
class ToolMetaclass(type):
"""This metaclass ensures that new instance variables can only be adde... | {
"repo_name": "lewissbaker/cake",
"path": "src/cake/library/__init__.py",
"copies": "1",
"size": "3461",
"license": "mit",
"hash": 4267497560903026700,
"line_mean": 27.6033057851,
"line_max": 76,
"alpha_frac": 0.6503900607,
"autogenerated": false,
"ratio": 3.849833147942158,
"config_test": fals... |
"""Base class copy from sklearn.base."""
# Authors: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Romain Trachel <trachelr@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@inria.fr>
# Jean-Remi King <jeanremi.king@gmail.com>
#
# License: BSD (3-clause)
import numpy as np
import time
im... | {
"repo_name": "cjayb/mne-python",
"path": "mne/decoding/base.py",
"copies": "2",
"size": "19366",
"license": "bsd-3-clause",
"hash": -1162759462641552100,
"line_mean": 34.4688644689,
"line_max": 79,
"alpha_frac": 0.5963027987,
"autogenerated": false,
"ratio": 4.185433326129242,
"config_test": t... |
"""Base class copy from sklearn.base"""
# Authors: Gael Varoquaux <gael.varoquaux@normalesup.org>
# Romain Trachel <trachelr@gmail.com>
# Alexandre Gramfort <alexandre.gramfort@telecom-paristech.fr>
#
# License: BSD (3-clause)
import inspect
import warnings
import six
import numpy as np
class BaseE... | {
"repo_name": "trachelr/mne-python",
"path": "mne/decoding/base.py",
"copies": "2",
"size": "26267",
"license": "bsd-3-clause",
"hash": 7012649183751242000,
"line_mean": 41.3661290323,
"line_max": 79,
"alpha_frac": 0.5588761564,
"autogenerated": false,
"ratio": 4.594542592268672,
"config_test":... |
"""base class creation for all the schemas that exist."""
from functools import lru_cache
from pyramid.view import (
view_config,
)
from pyramid.security import (
# ALL_PERMISSIONS,
Allow,
Authenticated,
Deny,
# DENY_ALL,
Everyone,
)
from pyramid.traversal import find_root
import snovault
# ... | {
"repo_name": "4dn-dcic/fourfront",
"path": "src/encoded/types/base.py",
"copies": "2",
"size": "22234",
"license": "mit",
"hash": -70287169313562320,
"line_mean": 36.7419354839,
"line_max": 139,
"alpha_frac": 0.597705803,
"autogenerated": false,
"ratio": 3.9548123109766946,
"config_test": fals... |
""" Base class defining common code for EnamlTaskPane and EnamlEditor. """
# Enthought library imports.
from traits.api import HasTraits, Instance
class EnamlPane(HasTraits):
""" Base class defining common code for EnamlTaskPane and EnamlEditor. """
##########################################################... | {
"repo_name": "geggo/pyface",
"path": "pyface/tasks/enaml_pane.py",
"copies": "5",
"size": "2407",
"license": "bsd-3-clause",
"hash": 8454620480787186000,
"line_mean": 32.4305555556,
"line_max": 79,
"alpha_frac": 0.5625259659,
"autogenerated": false,
"ratio": 5.1875,
"config_test": false,
"ha... |
"""Base classes and convenience functions for writing filters"""
from functools import wraps
from funcy import identity
from dxr.utils import is_in
# Domain constants:
FILE = 'file'
LINE = 'line'
class Filter(object):
"""A provider of search strategy and highlighting
Filter classes, which roughly corresp... | {
"repo_name": "jbradberry/dxr",
"path": "dxr/filters.py",
"copies": "9",
"size": "9618",
"license": "mit",
"hash": 6247135508616626000,
"line_mean": 38.0975609756,
"line_max": 96,
"alpha_frac": 0.6403618216,
"autogenerated": false,
"ratio": 4.488100793280448,
"config_test": false,
"has_no_key... |
"""Base classes and convenience functions for writing indexers and skimmers"""
from collections import namedtuple
from operator import itemgetter
from os.path import join, islink
from warnings import warn
from funcy import group_by, decorator, imapcat
from dxr.utils import build_offset_map, split_content_lines
STR... | {
"repo_name": "jbradberry/dxr",
"path": "dxr/indexers.py",
"copies": "1",
"size": "22661",
"license": "mit",
"hash": 2013881436380509000,
"line_mean": 38.0034423408,
"line_max": 185,
"alpha_frac": 0.6287454216,
"autogenerated": false,
"ratio": 4.247610121836926,
"config_test": true,
"has_no_k... |
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