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from edalize_common import make_edalize_test
import pytest
def test_ise(make_edalize_test):
name = 'test_ise_0'
tool_options = {
'family': 'spartan6',
'device': 'xc6slx45',
'package': 'csg324',
'speed': '-2'
}
tf = make_edalize_test('ise',
tes... | {
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from edalize_common import make_edalize_test
def run_vcs_test(tf):
tf.backend.configure()
tf.compare_files(['Makefile', tf.test_name + '.scr'])
tf.backend.build()
tf.compare_files(['vcs.cmd'])
tf.backend.run()
tf.compare_files(['run.cmd'])
def test_vcs_tool_options(make_edalize_test):
... | {
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"path": "tests/test_vcs.py",
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from edalize_common import make_edalize_test
def test_diamond(make_edalize_test):
name = 'test_diamond_0'
tf = make_edalize_test('diamond',
test_name=name,
param_types=['generic', 'vlogdefine', 'vlogparam'],
tool_options={
... | {
"repo_name": "SymbiFlow/edalize",
"path": "tests/test_diamond.py",
"copies": "1",
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from eddn.message.message import message, JSONParseError, JSONValidationFailed, SoftwareBlacklisted
import simplejson
from jsonschema import validate, ValidationError
import unittest
import os
import json
import logging
class EddnMessageTests(unittest.TestCase):
#####################################################... | {
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"path": "eddn/message/test_message.py",
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from ede.database import Base
from sqlalchemy import Column, Integer, String, DateTime, ForeignKey
from sqlalchemy.dialects.postgresql import JSONB, ARRAY
from geoalchemy2 import Raster, Geometry
from sqlalchemy.sql import func
class Grid_Meta(Base):
__tablename__ = 'grid_meta'
uid = Column(Integer, primary_ke... | {
"repo_name": "RDCEP/EDE",
"path": "ede/schema/models.py",
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from eden import util
def null_modifier(header=None, seq=None, const=None, **options):
yield header
yield seq
yield const
def fasta_to_fasta(input, modifier=null_modifier, **options):
"""
Takes a FASTA file yields a normalised FASTA file.
Parameters
----------
input : string
... | {
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# From EderSantana's https://github.com/EderSantana/seya repository
import numpy as np
import theano
import theano.tensor as T
import keras.backend as K
from keras.layers.core import Layer
floatX = theano.config.floatX
class SpatialTransformer(Layer):
"""Spatial Transformer Layer
Implements a spatial trans... | {
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from ede.settings import DB_PORT, DB_PASSWORD, DB_USER, DB_NAME, DB_HOST
import subprocess
import zipfile
import os
import tempfile
import shutil
postgres_connection_arg = 'PG:host={} user={} port={} dbname={} password={}'.format(
DB_HOST,
DB_USER,
... | {
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"path": "ede/utils/ogr2ogr.py",
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"config_test": false,
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from EDevice import EDevice
from EModule import EModule
# Define some devices and modules to use
digitalLED = EDevice("Digital LED", "D_O")
analogLED = EDevice("Analog LED", "A_O")
digitalSensor = EDevice("Digital Sensor", "D_I")
analogSensor = EDevice("Analog Sensor", "A_I")
servo = EDevice("Servo", "SERVO")
jointSe... | {
"repo_name": "PRECISE/ROSLab",
"path": "resources/mechanics_lib/ELibrary.py",
"copies": "1",
"size": "1116",
"license": "apache-2.0",
"hash": -5379311585396787000,
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"conf... |
from edgar_importing import db
import sqlalchemy
import argparse
import logging
import json
import time
import datetime
import shapely
import shapely.prepared
import shapely.wkt
import shapely.geometry
from pprint import pprint
def parse_args():
parser = argparse.ArgumentParser(description='''Recalculates occurren... | {
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"path": "importing/edgar_importing/vettingd.py",
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... |
from edge.blast import blast_genome
from Bio.Seq import Seq
MIN_BINDING_LENGTH = 15
BINDING_LENGTH_HI = 20
def compute_pcr_product(
primer_a_sequence,
primer_a_binding_check_len,
primer_a_blastres,
primer_b_sequence,
primer_b_binding_check_len,
primer_b_blastres,
):
"""
Computes a PCR... | {
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"path": "src/edge/pcr.py",
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"license": "mit",
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"autogenerated": false,
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"ha... |
from edge import DummyEdgeEnd
from simulation_event import AbstractSimulationEvent
from stats import TripStats
class AbstractAntMove(AbstractSimulationEvent):
def __init__(self, ant, origin, destination, end_time, pheromone_to_drop, trip_stats):
self.ant = ant
self.origin = origin
self.dest... | {
"repo_name": "ppolewicz/ant-colony",
"path": "antcolony/ant_move.py",
"copies": "1",
"size": "3648",
"license": "bsd-3-clause",
"hash": 8979063375052347000,
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"line_max": 221,
"alpha_frac": 0.6540570175,
"autogenerated": false,
"ratio": 3.633466135458167,
"config_test... |
from .Edge import Edge
from .Vertex import Vertex
class Graph(object):
def __init__(self, V, E, tau=set()):
if isinstance(V, Vertex):
V = set([V])
elif not isinstance(V, set):
V = set(V)
if isinstance(E, Edge):
E = set([E])
elif not isinstanc... | {
"repo_name": "char-lie/patterns_recognition",
"path": "classes/graph/Graph.py",
"copies": "1",
"size": "6045",
"license": "mit",
"hash": 6991575074412730000,
"line_mean": 30,
"line_max": 79,
"alpha_frac": 0.547229115,
"autogenerated": false,
"ratio": 3.984838497033619,
"config_test": false,
... |
from edge import *
import copy
from numpy import pi, sin, cos
from graphs.graph import Graph
class Drawing:
def __init__(self):
"""
Initializes an empty dictionary to contain Edge instances.
Keys will be Edge labels as strings. Key values will be Edge instances.
"""
self.edges = {}
self.... | {
"repo_name": "PRECISE/ROSLab",
"path": "resources/mechanics_lib/api/drawing.py",
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"size": "7136",
"license": "apache-2.0",
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"autogenerated": false,
"ratio": 3.342388758782201,
"c... |
from edge import *
class DBMEdge(Edge):
def LoadParams(self):
super(DBMEdge, self).LoadParams()
self.suff_stats = cm.empty((self.node1.numlabels * self.node1.dimensions,
self.node2.numlabels * self.node2.dimensions))
def UpdateParams(self, step):
""" Update the paramete... | {
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"path": "deepnet/dbm_edge.py",
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"license": "bsd-3-clause",
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"alpha_frac": 0.6682209469,
"autogenerated": false,
"ratio": 2.975453575240128,
"config_test": false,
... |
from edge import *
class SoftTransferEdge(Edge):
@classmethod
def IsEdgeType(cls, proto):
return proto.hyperparams.soft_shared_prior
def InitializeSoftWeights(self, superclasses):
numsuperclasses = superclasses.max() + 1
numclasses = len(superclasses)
sw = np.zeros((numclasses, numclasses))
... | {
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"path": "deepnet/soft_transfer_edge.py",
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"autogenerated": false,
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"config... |
from edge import *
class TransferEdge(Edge):
@classmethod
def IsEdgeType(cls, proto):
return proto.hyperparams.shared_prior
def LoadParams(self, proto, **kwargs):
super(TransferEdge, self).LoadParams(proto, **kwargs)
fname = os.path.join(self.prefix, self.hyperparams.shared_prior_file)
self.shar... | {
"repo_name": "kobiso/ControlledDropout",
"path": "deepnet/transfer_edge.py",
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"license": "bsd-3-clause",
"hash": 361142569167391400,
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"line_max": 80,
"alpha_frac": 0.6952975048,
"autogenerated": false,
"ratio": 3.091988130563798,
"confi... |
from edge import *
def ChooseLayer(layer_proto):
if layer_proto.activation == convnet_config_pb2.Layer.LINEAR:
return Layer(layer_proto)
elif layer_proto.activation == convnet_config_pb2.Layer.RECTIFIED_LINEAR:
return ReLULayer(layer_proto)
elif layer_proto.activation == convnet_config_pb2.Layer.SOFTMAX:... | {
"repo_name": "DeercoderResearch/convnet",
"path": "py/layer.py",
"copies": "5",
"size": "2635",
"license": "bsd-2-clause",
"hash": -8342296690920755000,
"line_mean": 28.606741573,
"line_max": 101,
"alpha_frac": 0.6777988615,
"autogenerated": false,
"ratio": 3.1406436233611443,
"config_test": f... |
from edge.models.chunk import Feature
class Fragment_Annotator(object):
"""
Mixin for annotating a fragment.
"""
def _add_feature(self, name, type, length, strand, qualifiers=None, operation=None):
if strand not in (1, -1, None):
raise Exception("Strand must be 1, -1, or None")
... | {
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"path": "src/edge/models/fragment_annotator.py",
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"license": "mit",
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"line_max": 88,
"alpha_frac": 0.5663913596,
"autogenerated": false,
"ratio": 4.061935483870967,
"confi... |
from edge.opensearch.responsebysolr import ResponseBySolr
class GranuleResponseBySolr(ResponseBySolr):
def __init__(self, linkToGranule):
super(GranuleResponseBySolr, self).__init__()
self.linkToGranule = linkToGranule
def _populateChannel(self, solrResponse):
pass
def _populateI... | {
"repo_name": "dataplumber/edge",
"path": "src/main/python/libraries/edge/opensearch/granuleresponsebysolr.py",
"copies": "2",
"size": "1382",
"license": "apache-2.0",
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"line_mean": 36.3513513514,
"line_max": 104,
"alpha_frac": 0.5853835022,
"autogenerated": false,
"r... |
from edgesense.utils import sort_by
from edgesense.content.metrics import extract_content_metrics
from edgesense.network.metrics import extract_network_metrics
from edgesense.utils.extract import calculate_timestamp_range
from edgesense.network.utils import build_network
import logging
def compute_all_metrics(nodes_ma... | {
"repo_name": "candsvincent/edgesense",
"path": "python/edgesense/metrics/__init__.py",
"copies": "1",
"size": "1936",
"license": "mit",
"hash": -3080549278355811000,
"line_mean": 43,
"line_max": 152,
"alpha_frac": 0.7324380165,
"autogenerated": false,
"ratio": 3.8185404339250493,
"config_test"... |
from edgy.model.attributes import _Attribute, Integer, Sequence, String, Boolean
class ModelError(Exception):
pass
class Model(object):
"""
Base class for all model objects.
"""
class __metaclass__(type):
"""
Simple metaclass that is responsible for making sure that all
... | {
"repo_name": "jrydberg/edgy",
"path": "src/edgy/model/model.py",
"copies": "1",
"size": "3023",
"license": "mit",
"hash": 2498488483745281500,
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"line_max": 80,
"alpha_frac": 0.5401918624,
"autogenerated": false,
"ratio": 4.738244514106583,
"config_test": false,
"ha... |
from edgy.model.model import getAttributes
from edgy.model import Model, String, Integer, Timestamp, Sequence, Reference
from edgy.xml.schema import LeafList, Leaf, Container
from edgy.xml import Namespace, schema, tostring, stripTag, findall
from zope.interface import Interface, implements
from twisted.python import c... | {
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"path": "src/edgy/xml/binder.py",
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"line_max": 95,
"alpha_frac": 0.5892211963,
"autogenerated": false,
"ratio": 4.524977293369664,
"config_test": false,
"ha... |
from edict2_parser import Parser
from pymongo import Connection
import rawes
import romkan
import json
import subprocess
import sys
if len(sys.argv) <= 1:
print 'usage: populate.py [es/mongo]'
sys.exit(1)
es_or_mongo = sys.argv[1]
mongo = es_or_mongo == 'mongo'
inserts = []
if mongo:
MONGO_URI = 'localh... | {
"repo_name": "hermanschaaf/nihongo",
"path": "scripts/populate.py",
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"size": "3287",
"license": "mit",
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"autogenerated": false,
"ratio": 3.822093023255814,
"config_test": false,
... |
from edison.settings import edison_settings
from edison.token_validator import TokenValidator, UNAUTHORIZED
from django.http import HttpResponsePermanentRedirect
class JWTAuthenticationMiddleware(object):
def __init__(self, ):
self.jwt_authentication_header = edison_settings.JWT_AUTHENTICATION_HEADER
... | {
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"path": "edison/middlewares/jwt_authentication_middleware.py",
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"license": "mit",
"hash": -2691089273835840000,
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"alpha_frac": 0.6828003457,
"autogenerated": false,
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from .edition import Edition
from dodecahedron import db
from dodecahedron.mixins.model import CRUDMixin
import flask
books_authors = db.Table('books_authors',
db.Column('book_id', db.Integer(), db.ForeignKey('book.id')),
db.Column('author_id', db.Integer(), db.ForeignKey('author.id')))
class Book(db.Model, ... | {
"repo_name": "msarfati/dodecahedron",
"path": "dodecahedron/models/demo/book.py",
"copies": "1",
"size": "1675",
"license": "mit",
"hash": 5319975434321648000,
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"autogenerated": false,
"ratio": 3.5337552742616034,
"config_test": fa... |
from editlive.conf import settings
from editlive.adaptors.base import BaseAdaptor
class DateAdaptor(BaseAdaptor):
"""DateField adaptor
Uses the following setting:
`settings.EDITLIVE_DATE_FORMAT`
"""
def __init__(self, *args, **kwargs):
super(DateAdaptor, self).__init__(*args, **kwargs)
... | {
"repo_name": "h3/django-editlive",
"path": "editlive/adaptors/date.py",
"copies": "1",
"size": "2909",
"license": "bsd-3-clause",
"hash": 7473075331622295000,
"line_mean": 35.3625,
"line_max": 92,
"alpha_frac": 0.6283946373,
"autogenerated": false,
"ratio": 3.6499372647427855,
"config_test": f... |
from Editor.gl import *
from maybe import *
fragmentShaderSrc = """
void main () {
gl_FragColor = vec4(1.0, 0.5, 0.0, 1.0);
}
"""
vertexShaderSrc = """
attribute vec2 position;
uniform mat4 modelViewMatrix;
uniform mat4 projectionMatrix;
void main() {
gl_Position = projectionMatrix * modelViewMatrix * vec4(... | {
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"path": "Editor/visual.py",
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"config_test": false,
"has_n... |
from editor import Pane as BasePane, Canvas as BaseCanvas, Editor as BaseEditor, LevelSelector as BaseLevelSelector
from PyQt4 import QtGui, QtCore
from loaders import *
class RistarROM(ROM):
pointers = {
'jp': {
'palettes': 0x11c1b8,
'treasure_palette_main': 0xf00c,
't... | {
"repo_name": "drx/Feel2",
"path": "games/ristar.py",
"copies": "1",
"size": "6473",
"license": "mit",
"hash": 6524531569634255000,
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"line_max": 190,
"alpha_frac": 0.5641897111,
"autogenerated": false,
"ratio": 3.3695991671004686,
"config_test": false,
"has_no_keywo... |
from editortools.brush import createBrushMask, createTileEntities
from pymclevel.level import extractHeights
import itertools
displayName = "Topsoil"
def createInputs(self):
self.inputs = (
{'Hollow': False},
{'Noise': 100},
{'W': (3, 1, 4096), 'H': (3, 1, 4096), 'L': (3, 1, 4096)},
{'Block': mat... | {
"repo_name": "OniOniOn-/MCEdit-Unified",
"path": "stock-brushes/Topsoil.py",
"copies": "8",
"size": "2075",
"license": "isc",
"hash": -819953903367871500,
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"alpha_frac": 0.6125301205,
"autogenerated": false,
"ratio": 3.653169014084507,
"config_test":... |
from editortools.brush import createBrushMask
from pymclevel.level import extractHeights
import itertools
displayName = "Topsoil"
def createInputs(self):
self.inputs = (
{'Hollow': False},
{'Noise': 100},
{'W': (3, 1, 4096), 'H': (3, 1, 4096), 'L': (3, 1, 4096)},
{'Block': materials.blockWithID(1... | {
"repo_name": "skinny121/MCEdit-Unified",
"path": "stock-brushes/Topsoil.py",
"copies": "3",
"size": "1994",
"license": "isc",
"hash": 5509956521682712000,
"line_mean": 30.15625,
"line_max": 155,
"alpha_frac": 0.6038114343,
"autogenerated": false,
"ratio": 3.6320582877959926,
"config_test": fal... |
from editortools.operation import Operation
import itertools
from albow import alert
class fileEdit:
def __init__(self, filename, timeChanged, box, editor, level):
self.filename = filename
self.timeChanged = timeChanged
self.box = box
self.editor = editor
self.level = level
... | {
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"path": "fileEdits.py",
"copies": "2",
"size": "4986",
"license": "isc",
"hash": 5907582663554742000,
"line_mean": 37.3538461538,
"line_max": 118,
"alpha_frac": 0.5322904132,
"autogenerated": false,
"ratio": 3.66079295154185,
"config_test": false,
"has_n... |
from edl.hits import parseHits
from edl.util import tupleIteratorToMap
import logging
import pandas
logger = logging.getLogger(__name__)
def collapseDataFrame(frame, indices, dest='Other', axis=1, how='sum'):
"""
Collapse all the matching rows or columns into a single one
"""
if axis == 0:
fra... | {
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"path": "edl/dataframes.py",
"copies": "1",
"size": "2100",
"license": "mit",
"hash": 8803147684190030000,
"line_mean": 27.7671232877,
"line_max": 76,
"alpha_frac": 0.5847619048,
"autogenerated": false,
"ratio": 3.763440860215054,
"config_test": false,
... |
from edl.util import parse_list_to_set
def recordIterator(stream, separatorRE, idRE=None):
"""
Given:
na file-like object (any iterator over strings)
1 or 2 regular expressions that define record boundaries
and identifiers
Return:
an iterator over records that returns a tuple o... | {
"repo_name": "jmeppley/py-metagenomics",
"path": "edl/records.py",
"copies": "1",
"size": "1934",
"license": "mit",
"hash": 3130916669989487000,
"line_mean": 26.2394366197,
"line_max": 78,
"alpha_frac": 0.5677352637,
"autogenerated": false,
"ratio": 4.3854875283446715,
"config_test": false,
... |
from edl.util import parseMapFile
from edl.taxon import getNodeFromHit, \
getAncestorClosestToRank, \
readTaxonomy, \
add_taxonomy_dir_argument
from edl.blastm8 import filterM8Stream, \
FilterParams, \
for... | {
"repo_name": "jmeppley/py-metagenomics",
"path": "edl/hits.py",
"copies": "1",
"size": "31160",
"license": "mit",
"hash": -4055354576427731500,
"line_mean": 27.2246376812,
"line_max": 78,
"alpha_frac": 0.576732991,
"autogenerated": false,
"ratio": 3.8906230490697964,
"config_test": false,
"h... |
from edmtypes import *
from lxml import etree as ET
from pdb import Pdb
debug = Pdb()
ODATA_NAMESPACES = {
'edmx': 'http://docs.oasis-open.org/odata/ns/edmx'
}
BOOLEAN_RANGE = [True, False]
class ComplexType(type):
def __init__(cls, clsname, bases, _dict):
if clsname != 'Base':
valid_bases = filter(lambda x: x... | {
"repo_name": "Terfin/pyodata-old",
"path": "edm/core.py",
"copies": "1",
"size": "4967",
"license": "mit",
"hash": -42934078744141440,
"line_mean": 36.9236641221,
"line_max": 124,
"alpha_frac": 0.6607610228,
"autogenerated": false,
"ratio": 2.9131964809384163,
"config_test": false,
"has_no_k... |
from edsby import Edsby
import requests, json, random
edsby = Edsby(host='your_edsbyhost.edsby.com', username='your_username', password='your_password')
print("Your grades:")
courses = edsby.getAllClassAverages()
for entry in courses:
print('\t' + courses[entry]['human_name'] + " : " + str(courses[entry]['average... | {
"repo_name": "ctrezevant/PyEdsby",
"path": "examples/example.py",
"copies": "1",
"size": "1064",
"license": "mit",
"hash": -3918813660430135300,
"line_mean": 43.375,
"line_max": 125,
"alpha_frac": 0.7227443609,
"autogenerated": false,
"ratio": 3.5115511551155114,
"config_test": false,
"has_n... |
from edsudoku.exceptions import SymbolNotPossible
__author__ = 'Eli Daian <elidaian@gmail.com>'
class Cell(object):
"""
A sudoku board cell.
"""
def __init__(self, x, y, alphabet, symbol=None):
"""
Create a new cell.
:param x: The X coordinate of this cell.
... | {
"repo_name": "liuyonggg/learning_python",
"path": "edsudoku-2.0.2/edsudoku/impl/cell.py",
"copies": "1",
"size": "4502",
"license": "mit",
"hash": -9182107400892500000,
"line_mean": 28.6258503401,
"line_max": 112,
"alpha_frac": 0.5601954687,
"autogenerated": false,
"ratio": 4.448616600790514,
... |
from education.models import *
from django.db.models import *
class NumericResponsesFor():
def __init__(self, polls):
self.query = Response.objects.filter(poll__in = polls,
has_errors = False,
message__direction = 'I'... | {
"repo_name": "unicefuganda/edtrac",
"path": "edtrac_project/rapidsms_edtrac/education/results.py",
"copies": "1",
"size": "2584",
"license": "bsd-3-clause",
"hash": -8575587631308826000,
"line_mean": 36.4492753623,
"line_max": 112,
"alpha_frac": 0.5986842105,
"autogenerated": false,
"ratio": 3.9... |
from eduextractor.config import secrets
import pandas as pd
from sqlalchemy import create_engine
class RemoteSource():
"""A remote source of data,
the fundamental abstraction of the project.
"""
def __init__(self, name):
self.name = name
class TestSource(RemoteSource):
"""A subclass repres... | {
"repo_name": "openEduConnect/eduextractor",
"path": "eduextractor/base.py",
"copies": "1",
"size": "1272",
"license": "mit",
"hash": -3966695435187881500,
"line_mean": 26.0638297872,
"line_max": 104,
"alpha_frac": 0.623427673,
"autogenerated": false,
"ratio": 3.7857142857142856,
"config_test":... |
from edu_project.linksgen.links_cs13 import url_links
from scrapy import log
from scrapy.http import Request
from scrapy.selector import Selector
from scrapy.spider import Spider
def nextURL():
list_of_url = url_links[:]
for next_url in list_of_url:
yield next_url
class one_ponit_three(Spider):
n... | {
"repo_name": "Shaunwei/Scrapy_SCU_project",
"path": "edu_project/edu_project/spiders/1point3.py",
"copies": "1",
"size": "1236",
"license": "mit",
"hash": -4672919348226747000,
"line_mean": 27.7441860465,
"line_max": 73,
"alpha_frac": 0.5841423948,
"autogenerated": false,
"ratio": 3.614035087719... |
from edu_project.linksgen.links_ee14 import url_links
from scrapy import log
from scrapy.http import Request
from scrapy.selector import Selector
from scrapy.spider import Spider
#change 1: search links
#change 2: spider name
#change 3: filename
def nextURL():
list_of_url = url_links[:]
for next_url in list_... | {
"repo_name": "Shaunwei/Scrapy_SCU_project",
"path": "edu_project/edu_project/spiders/1point3_ee.py",
"copies": "1",
"size": "1381",
"license": "mit",
"hash": 7437577689735004000,
"line_mean": 28.3829787234,
"line_max": 74,
"alpha_frac": 0.5756698045,
"autogenerated": false,
"ratio": 3.5963541666... |
from edu_project.linksgen.links_mis13 import url_links
from scrapy import log
from scrapy.http import Request
from scrapy.selector import Selector
from scrapy.spider import Spider
def nextURL():
list_of_url = url_links[:]
for next_url in list_of_url:
yield next_url
class one_ponit_three_mis(Spider):
... | {
"repo_name": "Shaunwei/Scrapy_SCU_project",
"path": "edu_project/edu_project/spiders/1point3_mis.py",
"copies": "1",
"size": "1316",
"license": "mit",
"hash": -2107697652239142700,
"line_mean": 29.6046511628,
"line_max": 74,
"alpha_frac": 0.5683890578,
"autogenerated": false,
"ratio": 3.62534435... |
from edx_data_research.parsing.parse import Parse
class ProblemIds(Parse):
def __init__(self, args):
super(ProblemIds, self).__init__(args)
self.drop = args.drop
def migrate(self):
self.collections = ['problem_ids', 'tracking', 'user_id_map']
if self.drop:
... | {
"repo_name": "McGillX/edx_data_research",
"path": "edx_data_research/parsing/parse_problem_ids.py",
"copies": "1",
"size": "1774",
"license": "mit",
"hash": -1280341850293315800,
"line_mean": 44.5128205128,
"line_max": 97,
"alpha_frac": 0.48421646,
"autogenerated": false,
"ratio": 4.619791666666... |
from ee.cli.plugins.stack import EEStackController
from ee.core.fileutils import EEFileUtils
from ee.core.mysql import *
from ee.core.shellexec import *
from ee.core.variables import EEVariables
from ee.cli.plugins.sitedb import *
from ee.core.aptget import EEAptGet
from ee.core.git import EEGit
from ee.core.logging im... | {
"repo_name": "rjdp/EE-dbmigrate",
"path": "ee/cli/plugins/site_functions.py",
"copies": "1",
"size": "41396",
"license": "mit",
"hash": -1276209768573457700,
"line_mean": 41.8530020704,
"line_max": 79,
"alpha_frac": 0.5124891294,
"autogenerated": false,
"ratio": 3.8333178998055377,
"config_tes... |
from eemeter.config.yaml_parser import load
import pytest
def test_sequential_meter():
meter_yaml = """
!obj:eemeter.meter.SequentialMeter {
sequence: [
!obj:eemeter.meter.DummyMeter {},
]
}"""
meter = load(meter_yaml)
result = meter.evaluate(value... | {
"repo_name": "philngo/ee-meter",
"path": "tests/test_meter_structure.py",
"copies": "1",
"size": "3488",
"license": "mit",
"hash": -7799065556945028000,
"line_mean": 30.1428571429,
"line_max": 111,
"alpha_frac": 0.5364105505,
"autogenerated": false,
"ratio": 4.14251781472684,
"config_test": tr... |
from eemeter.io.serializers import ArbitraryEndSerializer
from datetime import datetime
import pandas as pd
import numpy as np
import pytz
import pytest
@pytest.fixture
def serializer():
return ArbitraryEndSerializer()
def test_no_records(serializer):
df = serializer.to_dataframe([])
assert df.empty
... | {
"repo_name": "impactlab/eemeter",
"path": "tests/io/test_arbitrary_end_serializer.py",
"copies": "1",
"size": "3756",
"license": "mit",
"hash": 1667811904460688100,
"line_mean": 27.6717557252,
"line_max": 69,
"alpha_frac": 0.5985090522,
"autogenerated": false,
"ratio": 3.43327239488117,
"confi... |
from eemeter.io.serializers import ArbitraryStartSerializer
from datetime import datetime
import pandas as pd
import numpy as np
import pytz
import pytest
@pytest.fixture
def serializer():
return ArbitraryStartSerializer()
def test_no_records(serializer):
df = serializer.to_dataframe([])
assert df.empty... | {
"repo_name": "impactlab/eemeter",
"path": "tests/io/test_arbitrary_start_serializer.py",
"copies": "1",
"size": "3786",
"license": "mit",
"hash": -2661153021783007000,
"line_mean": 27.9007633588,
"line_max": 71,
"alpha_frac": 0.6011621764,
"autogenerated": false,
"ratio": 3.448087431693989,
"c... |
from eemeter.structures import EnergyTraceSet
from eemeter.structures import EnergyTrace
import pandas as pd
import numpy as np
import pytest
@pytest.fixture
def trace1():
columns = {"value": [1, np.nan], "estimated": [False, False]}
column_names = ["value", "estimated"]
index = pd.date_range('2000-01-0... | {
"repo_name": "impactlab/eemeter",
"path": "tests/structures/test_energy_trace_set.py",
"copies": "1",
"size": "2504",
"license": "mit",
"hash": 7347697412738550000,
"line_mean": 27.4545454545,
"line_max": 78,
"alpha_frac": 0.6377795527,
"autogenerated": false,
"ratio": 3.0096153846153846,
"con... |
from eemeter.structures import ModelingPeriod
from datetime import datetime
import pytz
import pytest
@pytest.fixture(params=["BASELINE", "REPORTING"])
def interpretation(request):
return request.param
def test_create(interpretation):
start_date = datetime(2000, 1, 1, tzinfo=pytz.UTC)
end_date = datetim... | {
"repo_name": "impactlab/eemeter",
"path": "tests/structures/test_modeling_period.py",
"copies": "1",
"size": "2401",
"license": "mit",
"hash": -5560023023277700000,
"line_mean": 31.8904109589,
"line_max": 61,
"alpha_frac": 0.7076218242,
"autogenerated": false,
"ratio": 3.3486750348675036,
"con... |
from ee.utils import test
from ee.cli.main import get_test_app
class CliTestCaseDebug(test.EETestCase):
def test_ee_cli(self):
self.app.setup()
self.app.run()
self.app.close()
def test_ee_cli_debug_stop(self):
self.app = get_test_app(argv=['debug', '--stop'])
self.app... | {
"repo_name": "skmezanul/easyengine",
"path": "tests/cli/test_debug.py",
"copies": "9",
"size": "2848",
"license": "mit",
"hash": -2700059049675575300,
"line_mean": 28.9789473684,
"line_max": 76,
"alpha_frac": 0.544241573,
"autogenerated": false,
"ratio": 3.214446952595937,
"config_test": true,... |
from ee.utils import test
from ee.cli.main import get_test_app
class CliTestCaseSite(test.EETestCase):
def test_ee_cli(self):
self.app.setup()
self.app.run()
self.app.close()
def test_ee_cli_site_detele(self):
self.app = get_test_app(argv=['site', 'delete', 'example1.com',
... | {
"repo_name": "Jurisdesk/freedoms",
"path": "tests/cli/test_site_delete.py",
"copies": "9",
"size": "1203",
"license": "mit",
"hash": 2871785422807401000,
"line_mean": 30.6578947368,
"line_max": 71,
"alpha_frac": 0.493765586,
"autogenerated": false,
"ratio": 3.4869565217391303,
"config_test": t... |
from ee.utils import test
from ee.cli.main import get_test_app
class CliTestCaseStack(test.EETestCase):
def test_ee_cli(self):
self.app.setup()
self.app.run()
self.app.close()
def test_ee_cli_stack_services_restart_nginx(self):
self.app = get_test_app(argv=['stack', 'restart'... | {
"repo_name": "rjdp/EE-dbmigrate",
"path": "tests/cli/5_test_stack_services_restart.py",
"copies": "9",
"size": "1610",
"license": "mit",
"hash": -6352170823973503000,
"line_mean": 29.9615384615,
"line_max": 72,
"alpha_frac": 0.5801242236,
"autogenerated": false,
"ratio": 3.265720081135903,
"co... |
from .effect_direction import categorise_interaction
def get_params(model):
"""
Get id and value for each parameter in a single model.
Parameters
----------
model : bs4.BeautifulSoup object produced by parsing an SBML model
Returns
-------
param_ids : a set containing the i... | {
"repo_name": "jamesscottbrown/sbml-diff",
"path": "sbml_diff/accessor_functions.py",
"copies": "1",
"size": "10463",
"license": "bsd-3-clause",
"hash": 7254177230181431000,
"line_mean": 26.6798941799,
"line_max": 135,
"alpha_frac": 0.6305075026,
"autogenerated": false,
"ratio": 4.058572536850272... |
from .effect import *
from .condition import *
class Trigger:
"""Scenario trigger
Args:
name (str): name of trigger (displayed in game editor)
enable (bool): is trigger enabled ?
loop (bool): looping trigger ?
objective (bool): display objective, when enabled is fired?
... | {
"repo_name": "dderevjanik/agescx",
"path": "agescx/models/trigger.py",
"copies": "1",
"size": "2773",
"license": "mit",
"hash": 4054080909109923000,
"line_mean": 29.8111111111,
"line_max": 76,
"alpha_frac": 0.5719437432,
"autogenerated": false,
"ratio": 4.360062893081761,
"config_test": false,... |
from effectlayer import EffectLayer
from colorsys import hsv_to_rgb, rgb_to_hsv
def clamp_brightness(color, scaling_factor):
hsv = rgb_to_hsv(*color)
hsv = ( hsv[0], hsv[1], (hsv[2] * scaling_factor) )
return hsv_to_rgb(*hsv)
class BrightnessStateMachineLayer(EffectLayer):
"""
This layer constric... | {
"repo_name": "FlamingLotusGirls/soma",
"path": "pier14/opc-client/effects/clamp.py",
"copies": "2",
"size": "3440",
"license": "apache-2.0",
"hash": -6973633009503667000,
"line_mean": 38.5402298851,
"line_max": 85,
"alpha_frac": 0.5819767442,
"autogenerated": false,
"ratio": 3.598326359832636,
... |
from effectlayer import EffectLayer
from colorsys import hsv_to_rgb, rgb_to_hsv
def invert_hue(color):
"Invert the hue of an RGB color value"
hsv = rgb_to_hsv(*color)
hsv = (abs(hsv[0] - 0.5), hsv[1], hsv[2])
return hsv_to_rgb(*hsv)
class InvertColorsLayer(EffectLayer):
"""
This layer inver... | {
"repo_name": "mct/soma",
"path": "pier14/opc-client/effects/invert.py",
"copies": "2",
"size": "1296",
"license": "apache-2.0",
"hash": 4914328718989625000,
"line_mean": 27.8,
"line_max": 62,
"alpha_frac": 0.6304012346,
"autogenerated": false,
"ratio": 3.5217391304347827,
"config_test": false,... |
from effectlayer import EffectLayer
from colorsys import hsv_to_rgb, rgb_to_hsv
def set_brightness(color, clamp_factor, scaling_factor):
hsv = rgb_to_hsv(*color)
shifted_brightness = hsv[2] - 0.5
shifted_brightness *= clamp_factor
shifted_brightness += 0.5 * (1+clamp_factor)
hsv = ( hsv[0], hsv[1]... | {
"repo_name": "FlamingLotusGirls/soma",
"path": "pier14/opc-client/effects/dim_bright_button_layer.py",
"copies": "2",
"size": "1258",
"license": "apache-2.0",
"hash": -2685910932233035000,
"line_mean": 29.6829268293,
"line_max": 105,
"alpha_frac": 0.6200317965,
"autogenerated": false,
"ratio": 3... |
from effectlayer import EffectLayer
import numpy
import time
class Speck(EffectLayer):
def __init__(self, color, index=0):
self.index = index
self.color = numpy.array(color)
self.lifespan = 3.5
self.lastSwitch = time.time()
def render(self, model, params, frame):
if self.index < model.numLEDs: # if it's ... | {
"repo_name": "FlamingLotusGirls/soma",
"path": "pier14/opc-client/effects/specklayer.py",
"copies": "1",
"size": "1671",
"license": "apache-2.0",
"hash": -9169211830440362000,
"line_mean": 28.8392857143,
"line_max": 95,
"alpha_frac": 0.7121484141,
"autogenerated": false,
"ratio": 3.1587901701323... |
from effectlayer import EffectLayer
import numpy
import time
class Speck(EffectLayer):
def __init__(self, color):
self.index = 0
self.color = numpy.array(color)
self.lifespan = 3.5
self.lastSwitch = time.time()
def render(self, model, params, frame):
if self.index < model.numLEDs: # if it's still alive..... | {
"repo_name": "mct/soma",
"path": "pier14/opc-client/effects/specklayer.py",
"copies": "1",
"size": "1658",
"license": "apache-2.0",
"hash": 4288150232092663300,
"line_mean": 28.6071428571,
"line_max": 95,
"alpha_frac": 0.7117008444,
"autogenerated": false,
"ratio": 3.158095238095238,
"config_t... |
from effectThread import *
from ledFunctions import *
class effect_fade(StoppableThread):
import time
iInterval = 1
rCurrent = 240
gCurrent = 80
bCurrent = 160
iSpeedR = 1
iSpeedG = 1
iSpeedB = 1
rMin = 50
gMin = 50
bMin = 50
rMax = 255
gMax = 255
bMax = 255
... | {
"repo_name": "simondankelmann/LED-Server",
"path": "effect_fade.py",
"copies": "1",
"size": "1357",
"license": "apache-2.0",
"hash": -3288397684497373700,
"line_mean": 17.5890410959,
"line_max": 51,
"alpha_frac": 0.6160648489,
"autogenerated": false,
"ratio": 2.769387755102041,
"config_test": ... |
from effigy.QNodeSceneNode import QNodeSceneNode, QNodeSceneNodeUndeletable
from effigy.NodeIO import NodeIO, NodeOutput, NodeInput, NodeIODirection, NodeIOMultiplicity
from PyQt5.QtWidgets import QGraphicsRectItem, QGraphicsTextItem
from PyQt5.QtCore import QRectF, QPointF, Qt
from PyQt5.QtGui import QPen, QColor, QB... | {
"repo_name": "DrLuke/gpnshader",
"path": "baseModule.py",
"copies": "1",
"size": "16996",
"license": "mit",
"hash": 8324391499893110000,
"line_mean": 38.2517321016,
"line_max": 211,
"alpha_frac": 0.6365615439,
"autogenerated": false,
"ratio": 4.148401269221382,
"config_test": false,
"has_no_... |
from efl.ecore import Exe
from efl.evas import EVAS_HINT_EXPAND, EVAS_HINT_FILL
from efl import elementary
from efl.elementary.window import Window, ELM_WIN_DIALOG_BASIC
from efl.elementary.background import Background
from efl.elementary.box import Box
from efl.elementary.button import Button
from efl.elementary.label... | {
"repo_name": "JeffHoogland/python-elm-extensions",
"path": "elmextensions/aboutwindow.py",
"copies": "1",
"size": "3713",
"license": "bsd-3-clause",
"hash": -8402199807801042000,
"line_mean": 34.0283018868,
"line_max": 90,
"alpha_frac": 0.6323727444,
"autogenerated": false,
"ratio": 3.2627416520... |
from efl.ecore import Exe
from efl.evas import EVAS_HINT_EXPAND, EVAS_HINT_FILL
from efl import elementary
from efl.elementary.window import Window, ELM_WIN_DIALOG_BASIC
from efl.elementary.window import ELM_WIN_DIALOG_BASIC
from efl.elementary.background import Background
from efl.elementary.box import Box
from efl.el... | {
"repo_name": "JeffHoogland/bodhi4packages",
"path": "python-elm-extensions/usr/lib/python2.7/dist-packages/elmextensions/aboutwindow.py",
"copies": "2",
"size": "3407",
"license": "bsd-3-clause",
"hash": 2322163465613081000,
"line_mean": 35.2446808511,
"line_max": 90,
"alpha_frac": 0.6307601996,
"... |
from efl import ecore
from efl.elementary.box import Box
from efl.elementary.frame import Frame
from efl.elementary.button import Button
from efl.elementary.entry import Entry, markup_to_utf8
from efl.evas import EVAS_HINT_EXPAND, EVAS_HINT_FILL
EXPAND_BOTH = EVAS_HINT_EXPAND, EVAS_HINT_EXPAND
EXPAND_HORIZ = EVAS_HINT... | {
"repo_name": "JeffHoogland/python-elm-extensions",
"path": "elmextensions/embeddedterminal.py",
"copies": "1",
"size": "3424",
"license": "bsd-3-clause",
"hash": 7973579788087198000,
"line_mean": 34.2989690722,
"line_max": 90,
"alpha_frac": 0.589661215,
"autogenerated": false,
"ratio": 3.3470185... |
from efl import ecore
from efl.elementary.box import Box
from efl.elementary.frame import Frame
from efl.elementary.button import Button
from efl.elementary.entry import Entry
from efl.evas import EVAS_HINT_EXPAND, EVAS_HINT_FILL
EXPAND_BOTH = EVAS_HINT_EXPAND, EVAS_HINT_EXPAND
EXPAND_HORIZ = EVAS_HINT_EXPAND, 0.0
FIL... | {
"repo_name": "JeffHoogland/bodhi3packages",
"path": "python-elm-extensions/usr/lib/python2.7/dist-packages/elmextensions/embeddedterminal.py",
"copies": "2",
"size": "3366",
"license": "bsd-3-clause",
"hash": 5639694178022308000,
"line_mean": 34.0625,
"line_max": 90,
"alpha_frac": 0.5885323827,
"a... |
from efl import ecore
import threading
try:
import Queue
except:
import queue as Queue
class ThreadedFunction(object):
def __init__(self, doneCB=None):
# private stuff
self._commandQueue = Queue.Queue()
self._replyQueue = Queue.Queue()
self._doneCB = doneCB
# add a... | {
"repo_name": "JeffHoogland/bodhi4packages",
"path": "python-elm-extensions/usr/lib/python2.7/dist-packages/elmextensions/easythreading.py",
"copies": "3",
"size": "1255",
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"hash": -7829146947953893000,
"line_mean": 26.8888888889,
"line_max": 69,
"alpha_frac": 0.5832669323,
... |
from efl import elementary
from efl.evas import EVAS_HINT_FILL, EVAS_HINT_EXPAND
from efl.elementary.window import StandardWindow
from efl.elementary.label import Label
from efl.elementary.entry import Entry, ELM_WRAP_CHAR
from efl.elementary.grid import Grid
from efl.elementary.button import Button
from efl.elementar... | {
"repo_name": "maikodaraine/EnlightenmentUbuntu",
"path": "bindings/python/python-efl/examples/elementary/test_cnp.py",
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"hash": 5140850282377590000,
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from efm2riot import configuration, tasks, parsers
import argparse
import sys
import os
def parse_arguments():
"""
Parse commandline arguments.
"""
parser = argparse.ArgumentParser()
# Add options
parser.add_argument(
"--sdk", action="store", help="path to EFM32 SDK")
parser.add... | {
"repo_name": "basilfx/EFM2Riot",
"path": "EFM2RIOT.py",
"copies": "1",
"size": "2440",
"license": "mit",
"hash": 3573740668032925700,
"line_mean": 25.2365591398,
"line_max": 78,
"alpha_frac": 0.6053278689,
"autogenerated": false,
"ratio": 3.935483870967742,
"config_test": false,
"has_no_keyw... |
from efm2riot import configuration, templates
import shutil
import glob
import sys
import os
def clean_dist(dist_directory):
"""
Clean the output folder.
"""
# Remove the old folder.
shutil.rmtree(dist_directory, ignore_errors=True)
# Create a new one
os.makedirs(dist_directory)
def c... | {
"repo_name": "basilfx/EFM2Riot",
"path": "efm2riot/tasks.py",
"copies": "1",
"size": "7254",
"license": "mit",
"hash": 4382598158108645400,
"line_mean": 33.7081339713,
"line_max": 79,
"alpha_frac": 0.4716018748,
"autogenerated": false,
"ratio": 5.058577405857741,
"config_test": false,
"has_n... |
from egal.handler import *
from notebook.utils import url_path_join
def _jupyter_server_extension_paths():
return [{
"module": "egal"
}]
# Jupyter Extension points
def _jupyter_nbextension_paths():
return [dict(
section="notebook",
# the path is relative to the `my_fancy_module` ... | {
"repo_name": "uclmr/egal",
"path": "egal/__init__.py",
"copies": "1",
"size": "1504",
"license": "apache-2.0",
"hash": -759616975986468900,
"line_mean": 36.6,
"line_max": 194,
"alpha_frac": 0.6994680851,
"autogenerated": false,
"ratio": 3.3496659242761693,
"config_test": false,
"has_no_keywo... |
from egat.test_runner_helpers import TestFunctionType
class LogLevel():
DEBUG = 4
INFO = 3
WARN = 1 # Unused, treated the same as ERROR
ERROR = 1
class TestLogger():
"""An abstract class that defines an interface for a test logger. Intended to
be subclassed and have all its methods overri... | {
"repo_name": "scotlowery/egat",
"path": "egat/loggers/test_logger.py",
"copies": "2",
"size": "3750",
"license": "mit",
"hash": -3093196338169774600,
"line_mean": 42.6046511628,
"line_max": 108,
"alpha_frac": 0.6362666667,
"autogenerated": false,
"ratio": 4.539951573849879,
"config_test": true... |
from egnyte.tests.config import EgnyteTestCase
from helpers import upload_file
EGNYTE_FILE_NAME = '/sample.png'
FILE_NAME = 'FILE1.png'
COMMENT = 'test comment'
class TestComments(EgnyteTestCase):
def setUp(self):
super(TestComments, self).setUp()
self.filepath = self.root_folder.path + EGNYTE_FI... | {
"repo_name": "egnyte/python-egnyte",
"path": "egnyte/tests/test_comments.py",
"copies": "1",
"size": "1655",
"license": "mit",
"hash": 6645869518744721000,
"line_mean": 29.0909090909,
"line_max": 74,
"alpha_frac": 0.6658610272,
"autogenerated": false,
"ratio": 3.5822510822510822,
"config_test"... |
from egnyte.tests.config import EgnyteTestCase
FOLDER_NAME = 'EVENT'
class TestEvents(EgnyteTestCase):
def setUp(self):
super(TestEvents, self).setUp()
self.root_folder.create()
def test_filter_poll(self):
events = self.egnyte.events
events = events.filter(events.oldest_event... | {
"repo_name": "egnyte/python-egnyte",
"path": "egnyte/tests/test_events.py",
"copies": "1",
"size": "1095",
"license": "mit",
"hash": -4517023570790461400,
"line_mean": 36.7586206897,
"line_max": 91,
"alpha_frac": 0.6557077626,
"autogenerated": false,
"ratio": 3.6258278145695364,
"config_test":... |
from ehb_client.requests.base import JsonRequestBase, IdentityBase, RequestBase
import json
from ehb_client.requests.exceptions import InvalidArguments
class Subject(IdentityBase):
def __init__(self, first_name=None, last_name=None, organization_id=-1,
organization_subject_id=-1, organization_id... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/subject_request_handler.py",
"copies": "1",
"size": "8089",
"license": "bsd-2-clause",
"hash": 2889417673831376000,
"line_mean": 42.7243243243,
"line_max": 120,
"alpha_frac": 0.6019285449,
"autogenerated": false,
"ratio": 4.054636... |
from ehb_client.requests.base import JsonRequestBase, IdentityBase, RequestBase
import json
from ehb_client.requests.exceptions import InvalidArguments, PageNotFound
class Organization(IdentityBase):
def __init__(self, name, subject_id_label, modified=None, created=None, id=-1):
self.name = name
... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/organization_request_handler.py",
"copies": "1",
"size": "5457",
"license": "bsd-2-clause",
"hash": 387944500473591700,
"line_mean": 36.8958333333,
"line_max": 117,
"alpha_frac": 0.5981308411,
"autogenerated": false,
"ratio": 4.08... |
from ehb_client.requests.base import JsonRequestBase, RequestBase, IdentityBase
from ehb_client.requests.exceptions import InvalidArguments
import json
import logging
log = logging.getLogger('ehb-client')
class SubjFamRelationship(IdentityBase):
def __init__(self, subject_1_id, subject_2_id, subject_1_role, subj... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/subj_fam_relationships_handler.py",
"copies": "1",
"size": "7728",
"license": "bsd-2-clause",
"hash": -5800951414271627000,
"line_mean": 41.6961325967,
"line_max": 119,
"alpha_frac": 0.5473602484,
"autogenerated": false,
"ratio": ... |
from ehb_client.requests.base import JsonRequestBase, RequestBase, IdentityBase
from ehb_client.requests.request_handler import RequestHandler
import json
from ehb_client.requests.exceptions import PageNotFound, InvalidArguments
class ExternalRecord(IdentityBase):
def __init__(self, record_id, subject_id=-1, ext... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/external_record_request_handler.py",
"copies": "1",
"size": "16025",
"license": "bsd-2-clause",
"hash": -8997625757086080000,
"line_mean": 41.5066312997,
"line_max": 162,
"alpha_frac": 0.5793447738,
"autogenerated": false,
"ratio"... |
from ehb_client.requests.base import JsonRequestBase, RequestBase, IdentityBase
import json
from ehb_client.requests.exceptions import InvalidArguments
from ehb_client.requests.subject_request_handler import Subject
from ehb_client.requests.external_record_request_handler import ExternalRecord
class Group(IdentityBas... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/group_request_handler.py",
"copies": "1",
"size": "8291",
"license": "bsd-2-clause",
"hash": -3536419478213198000,
"line_mean": 37.7429906542,
"line_max": 104,
"alpha_frac": 0.6046315282,
"autogenerated": false,
"ratio": 3.8616674... |
from ehb_client.requests.base import JsonRequestBase, RequestBase, IdentityBase
import json
from ehb_client.requests.exceptions import PageNotFound, InvalidArguments
from ehb_client.requests.subject_request_handler import Subject
from ehb_client.requests.external_record_request_handler import ExternalRecord
class Ext... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/external_system_request_handler.py",
"copies": "1",
"size": "11326",
"license": "bsd-2-clause",
"hash": -7843925670404333000,
"line_mean": 40.3357664234,
"line_max": 119,
"alpha_frac": 0.5704573548,
"autogenerated": false,
"ratio"... |
from ehb_client.requests.request_handler import RequestHandler
from ehb_client.requests.exceptions import PageNotFound, ServerError, \
MalformedRequestBody, RequestedRangeNotSatisfiable, NotAuthorized
import datetime
from abc import ABCMeta, abstractmethod
import json
import re
class abstractstatic(staticmethod):... | {
"repo_name": "chop-dbhi/ehb-client",
"path": "ehb_client/requests/base.py",
"copies": "1",
"size": "9529",
"license": "bsd-2-clause",
"hash": -2253252524697836800,
"line_mean": 34.0330882353,
"line_max": 127,
"alpha_frac": 0.547381677,
"autogenerated": false,
"ratio": 4.4465702286514235,
"conf... |
from ehb_datasources.drivers.Base import Driver, RequestHandler
from ehb_datasources.drivers.exceptions import RecordCreationError, \
IgnoreEhbExceptions
class PhenotypeDriver(Driver, RequestHandler):
def __init__(self, url, user, password, secure):
def getHost(url):
return url.split('/')... | {
"repo_name": "chop-dbhi/ehb-datasources",
"path": "ehb_datasources/drivers/phenotype/driver.py",
"copies": "1",
"size": "2566",
"license": "bsd-2-clause",
"hash": 1775160957134526700,
"line_mean": 31.4810126582,
"line_max": 77,
"alpha_frac": 0.5615744349,
"autogenerated": false,
"ratio": 4.19281... |
from ehive.runnable.IGFBaseJobFactory import IGFBaseJobFactory
class AnalysisFactory(IGFBaseJobFactory):
'''
A job factory for running analysis for a list of files
'''
def param_defaults(self):
params_dict=super(AnalysisFactory,self).param_defaults()
return params_dict
def run(self):
try:
... | {
"repo_name": "imperial-genomics-facility/data-management-python",
"path": "ehive/runnable/jobfactory/alignment/AnalysisFactory.py",
"copies": "1",
"size": "1197",
"license": "apache-2.0",
"hash": 7918227121163347000,
"line_mean": 36.4375,
"line_max": 115,
"alpha_frac": 0.5722639933,
"autogenerated... |
from ehive.runnable.IGFBaseProcess import IGFBaseProcess
from igf_data.process.singlecell_seqrun.mergesinglecellfastq import MergeSingleCellFastq
class MergeSingleCellFastqFragments(IGFBaseProcess):
'''
An ehive runnable class for merging single cell fastq fragments after
BCL2FASTQ runs
'''
def param_default... | {
"repo_name": "imperial-genomics-facility/data-management-python",
"path": "ehive/runnable/process/demultiplexing/MergeSingleCellFastqFragments.py",
"copies": "1",
"size": "1868",
"license": "apache-2.0",
"hash": 8386171874560070000,
"line_mean": 38.7659574468,
"line_max": 126,
"alpha_frac": 0.612419... |
from ehive.runnable.IGFBaseProcess import IGFBaseProcess
class CollectQcForFastqDir(IGFBaseProcess):
def param_defaults(self):
params_dict=super(CollectQcForFastqDir,self).param_defaults()
params_dict.update({
'remote_fastqc_info':None,
'remote_fastqs_info':None,
})
return params_dict
... | {
"repo_name": "imperial-genomics-facility/data-management-python",
"path": "ehive/runnable/process/demultiplexing/CollectQcForFastqDir.py",
"copies": "1",
"size": "2899",
"license": "apache-2.0",
"hash": 5279835121307804000,
"line_mean": 43.6153846154,
"line_max": 130,
"alpha_frac": 0.5563987582,
"... |
from ehp import *
import urllib
class DictApi(object):
def __init__(self):
self.url = 'http://api-pub.dictionary.com/v001?%s'
def lookup(self, word):
header = {
'vid': 'm4eprmf12blt8tfx6srduqen43yenonas10knflqr7',
'q':word
}
pag... | {
"repo_name": "iogf/candocabot",
"path": "ircutils/dictapi.py",
"copies": "1",
"size": "2286",
"license": "apache-2.0",
"hash": -8670262862197637000,
"line_mean": 21.86,
"line_max": 72,
"alpha_frac": 0.5297462817,
"autogenerated": false,
"ratio": 3.67524115755627,
"config_test": false,
"has_n... |
from ehuData import urls
from bs4 import BeautifulSoup
import requests
import json
import re
def switch_dias(dia):
"""
Funcion que hace de switch
"""
switcher = {
1: "MON",
2: "TUE",
3: "WED",
4: "THU",
5: "FRI",
6: "SAT",
7: "SUN"
}
retur... | {
"repo_name": "Hikasgai/HikasgaiSOAP",
"path": "ehuData/main.py",
"copies": "1",
"size": "3377",
"license": "mit",
"hash": 7502893369593620000,
"line_mean": 34.5473684211,
"line_max": 124,
"alpha_frac": 0.5937222387,
"autogenerated": false,
"ratio": 3.0644283121597096,
"config_test": false,
"... |
from eigensolver import EigenSolver, EigenSolverSymmetric
import numpy as np
class EigenDecomposition(object):
def __init__(this):
this.solver = EigenSolver()
def decompose(this, matrix):
return this.decompose_from_pairs(this.solver.solve(matrix))
def decompose_from_pairs(this, pairs):
... | {
"repo_name": "NuclearTalent/NuclearStructure",
"path": "doc/Programs/PythonCodesVeff/eigen_decomposition.py",
"copies": "1",
"size": "1553",
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"line_mean": 31.3541666667,
"line_max": 79,
"alpha_frac": 0.6464906632,
"autogenerated": false,
"ratio"... |
from eight_mile.tf.layers import rnn_cell
from baseline.tf.tfy import *
from baseline.utils import ls_props, read_json, Offsets, exporter
from baseline.model import register_decoder, register_arc_policy, create_seq2seq_arc_policy
from baseline.tf.embeddings import *
from baseline.tf.seq2seq.encoders.v2 import Transform... | {
"repo_name": "dpressel/baseline",
"path": "baseline/tf/seq2seq/decoders/v2.py",
"copies": "1",
"size": "12393",
"license": "apache-2.0",
"hash": -1068804345001476700,
"line_mean": 38.2183544304,
"line_max": 148,
"alpha_frac": 0.6059065602,
"autogenerated": false,
"ratio": 3.613119533527697,
"c... |
from eight_tracks import Api
PREFIX = "/music/8tracks"
NAME = '8tracks'
# make sure to replace artwork with what you want
# these filenames reference the example files in
# the Contents/Resources/ folder in the bundle
ART = 'art-default.jpg'
ICON = 'icon-default.png'
API_KEY = 'a9c6e62af4f4bce76e73749dd0... | {
"repo_name": "snopoke/8tracks.bundle",
"path": "8tracks.bundle/Contents/Code/__init__.py",
"copies": "1",
"size": "4295",
"license": "apache-2.0",
"hash": 7270233757793957000,
"line_mean": 29.3503649635,
"line_max": 124,
"alpha_frac": 0.5736903376,
"autogenerated": false,
"ratio": 3.523379819524... |
from eim.settings_loader import GeneralSettings, DataSettings
from eim.common import DictClass
from eim.data import loadData
from eim.spike_train import train_sec2ms
from figure_helper import plotSTPFig
import matplotlib.pyplot as plt
########## PLOTTING SETTINGS ##########
train_start_time_ms = 0
train_end... | {
"repo_name": "zjonke/EImotif",
"path": "simulations/stp/show_figure.py",
"copies": "1",
"size": "1803",
"license": "mit",
"hash": 5307402292274801000,
"line_mean": 31.7818181818,
"line_max": 118,
"alpha_frac": 0.6594564615,
"autogenerated": false,
"ratio": 2.5683760683760686,
"config_test": fa... |
from einops import EinopsError
from einops.parsing import ParsedExpression, _ellipsis, AnonymousAxis
import warnings
import string
from ..einops import _product
def _report_axes(axes: set, report_message: str):
if len(axes) > 0:
raise EinopsError(report_message.format(axes))
class WeightedEinsumMixin:
... | {
"repo_name": "arogozhnikov/einops",
"path": "einops/layers/_weighted_einsum.py",
"copies": "1",
"size": "6782",
"license": "mit",
"hash": -1273292908388429800,
"line_mean": 47.0992907801,
"line_max": 116,
"alpha_frac": 0.6300501327,
"autogenerated": false,
"ratio": 4.268093140339836,
"config_t... |
from einops import EinopsError
import keyword
import warnings
from typing import List
_ellipsis = '…' # NB, this is a single unicode symbol. String is used as it is not a list, but can be iterated
class AnonymousAxis(object):
"""Important thing: all instances of this class are not equal to each other """
d... | {
"repo_name": "arogozhnikov/einops",
"path": "einops/parsing.py",
"copies": "1",
"size": "6250",
"license": "mit",
"hash": 919276338823734900,
"line_mean": 42.6923076923,
"line_max": 119,
"alpha_frac": 0.5416133163,
"autogenerated": false,
"ratio": 4.795088257866462,
"config_test": false,
"ha... |
from eisoil.config import expand_eisoil_path
import eisoil.core.pluginmanager as pm
import eisoil.core.log
logger=eisoil.core.log.getLogger('ofed')
from omavonedelegate import OMAv1Delegate
gfed_ex = pm.getService('gfedv1exceptions')
config = pm.getService('config')
geniutil = pm.getService('geniutil')
class OMAv1De... | {
"repo_name": "EICT/C-BAS",
"path": "src/plugins/ofed1/omavonedelegateguard.py",
"copies": "1",
"size": "2181",
"license": "bsd-3-clause",
"hash": -7023253175945145000,
"line_mean": 50.9285714286,
"line_max": 141,
"alpha_frac": 0.6996790463,
"autogenerated": false,
"ratio": 3.665546218487395,
"... |
from eisoil.core import pluginmanager as pm
import eisoil.core.log
logger=eisoil.core.log.getLogger('genitrust')
import geniutil
def setup():
pm.registerService("geniutil", geniutil)
# view certificates with: openssl x509 -in ca_cert -text -noout
# or use mac osx's Keychain Access (go into "Keycha... | {
"repo_name": "EICT/C-BAS",
"path": "src/vendor/geni_trust/plugin.py",
"copies": "1",
"size": "5727",
"license": "bsd-3-clause",
"hash": -2036255902539628000,
"line_mean": 45.5691056911,
"line_max": 213,
"alpha_frac": 0.6219661254,
"autogenerated": false,
"ratio": 3.095675675675676,
"config_tes... |
from eisoil.core import serviceinterface
import eisoil.core.pluginmanager as pm
import eisoil.core.log
from apiexceptionsv2 import *
logger=eisoil.core.log.getLogger('resourcemanagertools')
class ResourceManagerTools(object):
"""
Common tools used to implement a ClearingHouse (CH) Resource Manager (RM).
"... | {
"repo_name": "EICT/C-BAS",
"path": "src/plugins/fedtools/resourcemanagertools.py",
"copies": "1",
"size": "9118",
"license": "bsd-3-clause",
"hash": 7437991749431391000,
"line_mean": 31.1056338028,
"line_max": 136,
"alpha_frac": 0.5809388024,
"autogenerated": false,
"ratio": 4.4005791505791505,
... |
from eisoil.core import serviceinterface
import eisoil.core.pluginmanager as pm
import traceback
from apiexceptionsv2 import GFedv2BaseError, GFedv2ServerError
class APITools(object):
"""
Common tools used to implement an RPC interface.
Includes the registration and lookup of RPC endpoints.
"""
... | {
"repo_name": "EICT/C-BAS",
"path": "src/plugins/fedtools/apitools.py",
"copies": "1",
"size": "3108",
"license": "bsd-3-clause",
"hash": -5379546354855413000,
"line_mean": 35.1395348837,
"line_max": 140,
"alpha_frac": 0.6203346203,
"autogenerated": false,
"ratio": 3.767272727272727,
"config_te... |
from ..either import core as either
from sklearn.feature_extraction import DictVectorizer
from sklearn import preprocessing
import pandas as pd
import numpy as np
imp... | {
"repo_name": "rogovski/pyCommon",
"path": "pyCommon/data/frame.py",
"copies": "1",
"size": "10135",
"license": "mit",
"hash": 1671894805249019600,
"line_mean": 30.4782608696,
"line_max": 79,
"alpha_frac": 0.4728169709,
"autogenerated": false,
"ratio": 4.936678032148076,
"config_test": false,
... |
from ..either import core as either
from sklearn.feature_extraction import DictVectorizer
from sklearn import preprocessing
class RegressionTrainingSet(object):
'''
training set for a regression model
'''
def __init__(self,
... | {
"repo_name": "rogovski/pyCommon",
"path": "pyCommon/data/training.py",
"copies": "1",
"size": "2400",
"license": "mit",
"hash": 3443855859670967300,
"line_mean": 27.9156626506,
"line_max": 72,
"alpha_frac": 0.5041666667,
"autogenerated": false,
"ratio": 4.705882352941177,
"config_test": false,... |
from .either import Left, Right
from ..abc import Monad, Container, Option, Full, Empty
from ..utils.compat import wraps
from ..utils.decorators import method_optional_kwargs
from ..utils.internal import _propagate_self
__all__ = ('Maybe', 'Just', 'Nothing')
class Maybe(Monad, Option):
"""Represents a potential... | {
"repo_name": "justanr/pynads",
"path": "pynads/concrete/maybe.py",
"copies": "1",
"size": "6714",
"license": "mit",
"hash": -5187982373456844000,
"line_mean": 29.1076233184,
"line_max": 79,
"alpha_frac": 0.6136431338,
"autogenerated": false,
"ratio": 4.124078624078624,
"config_test": false,
... |
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