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__author__ = 'topcircler'
"""
Anno API implemented using Google Cloud Endpoints.
"""
import endpoints
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
from protorpc import message_types
from protorpc import messages
from protorpc import remote
from messa... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/plugins/io.usersource.anno/anno_gec_server/api/anno_api.py",
"copies": "1",
"size": "7068",
"license": "mpl-2.0",
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__author__ = 'topcircler'
"""
Anno API implemented using Google Cloud Endpoints.
"""
import endpoints
import logging
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
from protorpc import message_types
from protorpc import messages
from protorpc import re... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/plugins/io.usersource.anno/anno_gec_server/anno_api.py",
"copies": "2",
"size": "5412",
"license": "mpl-2.0",
"hash": -3723823714328167000,
"line_mean": 37.1197183099,
"line_max": 120,
"alpha_frac": 0.6509608278,
"autogenerated": false... |
__author__ = 'topcircler'
"""
Anno data store model definition.
"""
from google.appengine.ext import ndb
import datetime
from message.anno_api_messages import AnnoResponseMessage
from message.anno_api_messages import AnnoListMessage
import logging
from model.base_model import BaseModel
from api.utils import get_coun... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/plugins/io.usersource.anno/anno_gec_server/model/anno.py",
"copies": "1",
"size": "13445",
"license": "mpl-2.0",
"hash": -3160418864077994000,
"line_mean": 45.5259515571,
"line_max": 116,
"alpha_frac": 0.6080327259,
"autogenerated": fa... |
__author__ = 'topcircler'
"""
ProtoRPC message class definitions for Anno API.
"""
from protorpc import messages
from protorpc import message_types
from message.user_message import UserMessage
from message.followup_message import FollowupMessage
class AnnoMessage(messages.Message):
"""
ProtoRPC message def... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/message/anno_api_messages.py",
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"size": "4249",
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... |
__author__ = 'topcircler'
"""
ProtoRPC message class definitions for Anno API.
"""
from protorpc import messages
from protorpc import message_types
class AnnoMessage(messages.Message):
"""
ProtoRPC message definition to represent an insert/update request annotation and response annotation.
This is used ... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/anno_api_messages.py",
"copies": "2",
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"autogenerat... |
__author__ = 'topcircler'
from google.appengine.ext import ndb
from message.user_message import UserMessage
class User(ndb.Model):
"""
Represents user entity.
"""
user_email = ndb.StringProperty() # this field should be unique.
display_name = ndb.StringProperty() # this field shoul... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/model/user.py",
"copies": "2",
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"autogenerated": fals... |
__author__ = 'topcircler'
from protorpc import messages
class UserMessage(messages.Message):
id = messages.IntegerField(1)
user_email = messages.StringField(2)
display_name = messages.StringField(3)
password = messages.StringField(4)
auth_source = messages.StringField(5)
device_id = ... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/message/user_message.py",
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"conf... |
__author__ = 'topcircler'
import datetime
import endpoints
from protorpc import message_types
from protorpc import messages
from protorpc import remote
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
from message.vote_message import VoteMessa... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/api/vote_api.py",
"copies": "1",
"size": "5495",
"license": "mpl-2.0",
"hash": -1803722394378721300,
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"alpha_frac": 0.6191082803,
"autogenerated": false,
"ratio": 3.9818840579710146,
"config_te... |
__author__ = 'topcircler'
import datetime
import endpoints
from protorpc import remote
from protorpc import messages
from protorpc import message_types
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
from helper.settings import anno_js_client... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/api/followup_api.py",
"copies": "1",
"size": "6399",
"license": "mpl-2.0",
"hash": -8902098779385680000,
"line_mean": 39.0192307692,
"line_max": 122,
"alpha_frac": 0.6447882482,
"autogenerated": false,
"ratio": 4.133720930232558,
"config... |
__author__ = 'topcircler'
import datetime
import endpoints
from protorpc import remote
from protorpc import message_types
from protorpc import messages
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
from message.flag_message import FlagMessa... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/api/flag_api.py",
"copies": "1",
"size": "5484",
"license": "mpl-2.0",
"hash": -4845572496329539000,
"line_mean": 36.6197183099,
"line_max": 118,
"alpha_frac": 0.6187089716,
"autogenerated": false,
"ratio": 4.059215396002961,
"config_tes... |
__author__ = 'topcircler'
import endpoints
from protorpc import message_types
from protorpc import messages
from protorpc import remote
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
import datetime
from message.vote_message import VoteMessage... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/api/vote_api.py",
"copies": "2",
"size": "4987",
"license": "mpl-2.0",
"hash": -9052290702971184000,
"line_mean": 36.6589147287,
"line_max": 118,
"alpha_frac": 0.6091838781,
"autogener... |
__author__ = 'topcircler'
import endpoints
from protorpc import message_types
from protorpc import remote
from protorpc import messages
from api.utils import anno_js_client_id
from api.utils import md5
from api.utils import get_endpoints_current_user
from api.utils import auth_user
from api.utils import ge... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/plugins/io.usersource.anno/anno_gec_server/api/user_api.py",
"copies": "2",
"size": "2691",
"license": "mpl-2.0",
"hash": 5794278034165154000,
"line_mean": 40.046875,
"line_max": 110,
"alpha_frac": 0.6480862133,
"autogenerated": false,... |
__author__ = 'topcircler'
import endpoints
from protorpc import message_types
from protorpc import remote
from api.utils import anno_js_client_id
from api.utils import validate_email
from api.utils import validate_password
from api.utils import md5
from api.utils import get_endpoints_current_user
from mode... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/api/account_api.py",
"copies": "2",
"size": "3666",
"license": "mpl-2.0",
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"line_mean": 44.4303797468,
"line_max": 142,
"alpha_frac": 0.6568466994,
"autogen... |
__author__ = 'topcircler'
import endpoints
from protorpc import remote
from protorpc import messages
from protorpc import message_types
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
import datetime
from api.utils import get_endpoints_current_... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/api/followup_api.py",
"copies": "2",
"size": "4931",
"license": "mpl-2.0",
"hash": 7017936436805469000,
"line_mean": 37.448,
"line_max": 116,
"alpha_frac": 0.6353680795,
"autogenerated... |
__author__ = 'topcircler'
import endpoints
from protorpc import remote
from protorpc import message_types
from protorpc import messages
from google.appengine.datastore.datastore_query import Cursor
from google.appengine.ext.db import BadValueError
import datetime
from message.flag_message import FlagMessage... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/plugins/io.usersource.anno/anno_gec_server/api/flag_api.py",
"copies": "2",
"size": "4974",
"license": "mpl-2.0",
"hash": -7092573769702961000,
"line_mean": 36.2615384615,
"line_max": 118,
"alpha_frac": 0.6089666265,
"autogenerated": f... |
__author__ = 'topcircler'
import logging
import endpoints
from protorpc import remote
from protorpc import message_types
from helper.utils import put_search_document
from model.anno import Anno
from model.appinfo import AppInfo
from helper.settings import anno_js_client_id
from helper.utils import is_emp... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/api/util_api.py",
"copies": "1",
"size": "2189",
"license": "mpl-2.0",
"hash": 4687979379596333000,
"line_mean": 37.8,
"line_max": 131,
"alpha_frac": 0.6678848789,
"autogenerated": false,
"ratio": 4.001828153564899,
"config_test": false,... |
__author__ = 'topcircler'
import webapp2
from model.anno import Anno
class ImageHandler(webapp2.RequestHandler):
def get(self):
"""
handle request for screenshot.
sample: https://usersource-anno.appspot.com/screenshot?anno_id=5644572721938432
"""
anno_id = se... | {
"repo_name": "usersource/tasks",
"path": "tasks_phonegap/Tasks/cordova/plugins/io.usersource.anno/anno_gec_server/image_handler.py",
"copies": "2",
"size": "1051",
"license": "mpl-2.0",
"hash": 7531814444764953000,
"line_mean": 35.5357142857,
"line_max": 92,
"alpha_frac": 0.5661274976,
"autogenera... |
__author__ = 'topcircler'
import webapp2
from model.anno import Anno
class ImageHandler(webapp2.RequestHandler):
HEADER_PNG = [chr(0x89), chr(0x50), chr(0x4E), chr(0x47)]
HEADER_JPG = [chr(0xFF), chr(0xD8)]
MAX_AGE = 30*24*60*60
def get(self):
"""
handle request for sc... | {
"repo_name": "usersource/anno",
"path": "anno_gec_server/handler/image_handler.py",
"copies": "1",
"size": "2776",
"license": "mpl-2.0",
"hash": -3323917256757445600,
"line_mean": 39.4328358209,
"line_max": 103,
"alpha_frac": 0.5450288184,
"autogenerated": false,
"ratio": 4.0466472303206995,
"... |
__author__ = "Toure Dunnon"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "toure@redhat.com"
__status__ = "Alpha"
import argparse
import os
import yaml
import sys
current_dir = os.path.dirname(__file__)
CONF = os.path.join(current_dir, "./iridium.yaml")
class Cli(object):
@staticmethod
... | {
"repo_name": "Toure/Iridium",
"path": "iridium/config/configmanager.py",
"copies": "1",
"size": "5483",
"license": "apache-2.0",
"hash": 6809745998857529000,
"line_mean": 34.3741935484,
"line_max": 121,
"alpha_frac": 0.5518876527,
"autogenerated": false,
"ratio": 4.4182111200644645,
"config_te... |
__author__ = "Toure Dunnon"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "toure@redhat.com"
__status__ = "Alpha"
from cinderclient import client
from iridium.libs.openstack import keystone
from iridium.plugins.inspector import Plugin
class CinderBase(object):
"""
CinderBase class is use... | {
"repo_name": "Toure/Iridium",
"path": "iridium/libs/openstack/cinder.py",
"copies": "1",
"size": "1264",
"license": "apache-2.0",
"hash": 6403205563042987000,
"line_mean": 34.1111111111,
"line_max": 101,
"alpha_frac": 0.6329113924,
"autogenerated": false,
"ratio": 3.95,
"config_test": false,
... |
__author__ = "Toure Dunnon"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "toure@redhat.com"
__status__ = "Alpha"
from setuptools import setup
import os
def read(fname):
"""
Read function is used to provide a simple way to inject a more lengthy description without
cluttering the setu... | {
"repo_name": "Toure/Iridium",
"path": "setup.py",
"copies": "1",
"size": "1419",
"license": "apache-2.0",
"hash": 8140183557026686000,
"line_mean": 32.7857142857,
"line_max": 94,
"alpha_frac": 0.6300211416,
"autogenerated": false,
"ratio": 3.753968253968254,
"config_test": false,
"has_no_key... |
__author__ = "Toure Dunnon"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "toure@redhat.com"
__status__ = "Alpha"
import pytest
from iridium.libs.openstack import nova
from iridium.core.logger import glob_logger
@pytest.fixture
def nova_auth():
nova_cl = nova.NovaBase('2')
return nova_cl... | {
"repo_name": "Toure/Iridium",
"path": "iridium/test/nova_tests/nova_test.py",
"copies": "1",
"size": "1477",
"license": "apache-2.0",
"hash": 960368078386380500,
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"line_max": 102,
"alpha_frac": 0.7061611374,
"autogenerated": false,
"ratio": 3.0516528925619837,
"confi... |
__author__ = "Toure Dunnon"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "toure@redhat.com"
__status__ = "Alpha"
"""
Keystone module which will be responsible for authentication and base keystone commands.
"""
import os
from keystoneclient.v2_0 import client
from config.configmanager import CON... | {
"repo_name": "Toure/Iridium",
"path": "iridium/libs/openstack/keystone.py",
"copies": "1",
"size": "3619",
"license": "apache-2.0",
"hash": -1767356140381193700,
"line_mean": 33.4666666667,
"line_max": 93,
"alpha_frac": 0.6703509257,
"autogenerated": false,
"ratio": 4.021111111111111,
"config_... |
__author__ = "Toure Dunnon, Sean Toner"
__license__ = "Apache License 2.0"
__version__ = "0.1"
__email__ = "toure@redhat.com, stoner@redhat.com"
__status__ = "Alpha"
import logging
import time
import os
from iridium.config.configmanager import ConfigManager
cm = ConfigManager()
def make_timestamp():
"""
Re... | {
"repo_name": "Toure/Iridium",
"path": "iridium/core/logger.py",
"copies": "1",
"size": "2957",
"license": "apache-2.0",
"hash": -84373149209395470,
"line_mean": 21.7461538462,
"line_max": 104,
"alpha_frac": 0.6438958404,
"autogenerated": false,
"ratio": 3.4994082840236684,
"config_test": false... |
__author__ = 'toure'
import abc
from .tracker import Tracker
from bugzilla import Bugzilla
class Bugz(Tracker):
def __init__(self):
# TODO auth logic here
pass
def create_case(self, **kwargs):
"""
Create initial bug.
:param kwargs: product (str),
... | {
"repo_name": "Toure/Iridium",
"path": "iridium/libs/trackers/bugz.py",
"copies": "1",
"size": "1640",
"license": "apache-2.0",
"hash": 2633286896811523600,
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"line_max": 93,
"alpha_frac": 0.5554878049,
"autogenerated": false,
"ratio": 4.408602150537634,
"config_test":... |
__author__ = 'toure'
import jenkins
def connect(url: str, username: str, password: str, timeout: int=None) -> object:
"""
Jenkins Connect will attach to the specified server and return a session
object.
:param url: server ip or hostname with specified port. ei. localhost:8080, str
:param username... | {
"repo_name": "Toure/Iridium",
"path": "iridium/libs/infrastructure/ci_interface.py",
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"hash": -8800549626906102000,
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"autogenerated": false,
"ratio": 3.783737024221453,
... |
__author__ = 'Toyz'
from handlers.cfl.CFLOpener import CFLOpener
from handlers.tools.singleton import singleton
import tempfile
import os
@singleton
class TempLoad:
def __init__(self, cfl, default="interface"):
if self.__doesexist(cfl):
self.__loaded = CFLOpener(cfl)
self.__tempFiles ... | {
"repo_name": "Toyz/IMVU-CFL-Reader",
"path": "handlers/tools/temploader.py",
"copies": "1",
"size": "1062",
"license": "mit",
"hash": -8096094122621709000,
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"line_max": 69,
"alpha_frac": 0.6082862524,
"autogenerated": false,
"ratio": 3.528239202657807,
"config_test":... |
__author__ = 'Toyz'
from PyQt4 import QtCore
from handlers.cfl.CFLMaker import CFLMaker
import os
class CreateCFLThread(QtCore.QThread):
def __init__(self, parent, cflfile, folder):
QtCore.QThread.__init__(self, parent)
self.cflfile = cflfile
self.file = folder
def run(self):
... | {
"repo_name": "Toyz/IMVU-CFL-Reader",
"path": "handlers/threads/CreateCFLThread.py",
"copies": "1",
"size": "1292",
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"line_max": 110,
"alpha_frac": 0.5959752322,
"autogenerated": false,
"ratio": 3.5397260273972604,
"conf... |
__author__ = 'Toyz'
import struct
import contextlib
import handlers.cfl
from handlers.tools.Utils import InvalidCFLError
from handlers.tools import Utils
def loadResource(f):
compressedSize = Utils.Utils.readInt(f)
return f.read(compressedSize)
class CFLOpener(object):
def __init__(self, path):
... | {
"repo_name": "Toyz/IMVU-CFL-Reader",
"path": "handlers/cfl/CFLOpener.py",
"copies": "1",
"size": "2400",
"license": "mit",
"hash": -3919140420279629300,
"line_mean": 33.2857142857,
"line_max": 96,
"alpha_frac": 0.58375,
"autogenerated": false,
"ratio": 4.21792618629174,
"config_test": false,
... |
__author__ = 'Toyz'
import struct
import pylzma
class InvalidCFLError(Exception):
pass
CFLCOMPRESS_NONE = 0
CFLCOMPRESS_LZMA = 4
class Utils:
def __init__(self):
pass
@staticmethod
def readInt(f):
try:
return struct.unpack('<I', f.read(4))[0]
except struct.err... | {
"repo_name": "Toyz/IMVU-CFL-Reader",
"path": "handlers/tools/Utils.py",
"copies": "1",
"size": "2656",
"license": "mit",
"hash": -6752403280331107000,
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"line_max": 79,
"alpha_frac": 0.5534638554,
"autogenerated": false,
"ratio": 4.042617960426179,
"config_test": fals... |
__author__ = 'TPei'
from plotting.plotly.graph_objs import *
from data.DataHandler import get_all_the_data
"""
Working with the plotly api to create more interactive diagrams
"""
def sleep():
data = get_all_the_data()
traces = []
categories = ['bed', 'sleep', 'sound', 'light', 'awake', 'averages']
... | {
"repo_name": "TPei/jawbone_visualizer",
"path": "plotting/plotly.py",
"copies": "1",
"size": "2565",
"license": "mit",
"hash": 4957401623344144000,
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"line_max": 72,
"alpha_frac": 0.5150097466,
"autogenerated": false,
"ratio": 3.2758620689655173,
"config_test": false,... |
__author__ = 'TPei'
from tkinter import *
from data.manager import *
from data.DataHandler import DataHandler
class App:
def __init__(self, master):
master.wm_title("Jawbone Visualizer")
self.button_width = 25
self.description = Label(master, text="Please choose a visualization mode:")
... | {
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"autogenerated": false,
"ratio": 4.056623931623932,
"config_test": false,
"has_... |
__author__ = 'TPei'
import csv
from helper.date_parser import *
def parse_csv():
"""
parse data in csv file
:return: list with parsed data
"""
column_names = ['start_date', 'end_date', 'total_sleep_time', 'total_sleep_val', 'light_sleep_time',
'light_sleep_val', 'light_sleep_p... | {
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"path": "helper/csv_parser.py",
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"size": "1067",
"license": "mit",
"hash": 2479530665049188400,
"line_mean": 34.6,
"line_max": 104,
"alpha_frac": 0.5529522024,
"autogenerated": false,
"ratio": 3.3873015873015873,
"config_test": false,
"ha... |
__author__ = 'TPei'
import datetime
def parse_date(date):
"""
parse date string looking like this
December 6, 2014 at 5:17pm
:param date:
:return: datetime.datetime
"""
# used to get month no
# '' at beginning of list so that month count starts at 1
months = ['', 'January', 'Februa... | {
"repo_name": "TPei/jawbone_visualizer",
"path": "helper/date_parser.py",
"copies": "1",
"size": "1613",
"license": "mit",
"hash": -6789415054016477000,
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"autogenerated": false,
"ratio": 3.113899613899614,
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__author__ = 'TPei'
import json
import requests
from handle_credentials import api_key
def pprint(json_data):
print(json.dumps(json_data, sort_keys=True, indent=4, separators=(',', ': ')))
if __name__ == '__main__':
base_url = 'http://ws.audioscrobbler.com/2.0/'
#method = 'user.gettoptracks'
method =... | {
"repo_name": "TPei/LastFM_Visualizer",
"path": "main.py",
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"size": "1069",
"license": "mit",
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__author__ = 'TPei'
import json
from helper.csv_parser import *
from plotting.plotter import *
from data.DataHandler import get_all_the_data
from helper.helper import *
def plot_sleep_from_csv():
sleep_data = parse_csv()
total_times = []
deep_times = []
light_times = []
awake_times = []
label... | {
"repo_name": "TPei/jawbone_visualizer",
"path": "data/manager.py",
"copies": "1",
"size": "5902",
"license": "mit",
"hash": 4771352905004311000,
"line_mean": 27.1047619048,
"line_max": 114,
"alpha_frac": 0.5898000678,
"autogenerated": false,
"ratio": 3.1954520844612886,
"config_test": false,
... |
__author__ = 'TPei'
import json
from helper.helper import *
class DataHandler:
def __init__(self, time_type="asleep_time"):
"""
parse json files (meals, sleep, moves) and put
all data into an embedded dict
:param time_type:
:return:
"""
self.d = {}
... | {
"repo_name": "TPei/jawbone_visualizer",
"path": "data/DataHandler.py",
"copies": "1",
"size": "5722",
"license": "mit",
"hash": 4136201345699263000,
"line_mean": 28.5,
"line_max": 89,
"alpha_frac": 0.4881160433,
"autogenerated": false,
"ratio": 3.7868960953011253,
"config_test": false,
"has_... |
__author__ = 'TPei'
import matplotlib.pyplot as plt
from plotting.Plot import Plot
class LineGraph(Plot):
"""
representing a line graph
"""
def __init__(self, data=None):
"""
:param data: data dict {'xdata': [...], 'ydata': [...]}
sets ydata and xdata
:return:
... | {
"repo_name": "TPei/jawbone_visualizer",
"path": "plotting/LineGraph.py",
"copies": "1",
"size": "1470",
"license": "mit",
"hash": -2253173562415469800,
"line_mean": 24.8070175439,
"line_max": 76,
"alpha_frac": 0.4823129252,
"autogenerated": false,
"ratio": 3.665835411471322,
"config_test": fal... |
__author__ = 'TPei'
import matplotlib.pyplot as plt
import numpy as np
def plot_bar_chart(title, ylabel, keys, values):
"""
creates a bar chart for the given data
:param title: title to display
:param ylabel: ylabel text
:param keys: names for the bars
:param values: values to create bars for
... | {
"repo_name": "TPei/jawbone_visualizer",
"path": "plotting/plotter.py",
"copies": "1",
"size": "25467",
"license": "mit",
"hash": -8916217484589846000,
"line_mean": 32.7324503311,
"line_max": 146,
"alpha_frac": 0.5564848628,
"autogenerated": false,
"ratio": 3.2570661209873384,
"config_test": fa... |
__author__ = 'traff'
import os
import sys
import tempfile
import threading
from _prof_imports import pkgutil, Stats, FuncStat, Function
try:
execfile=execfile #Not in Py3k
except NameError:
#We must redefine it in Py3k if it's not already there
def execfile(file, glob=None, loc=None):
if glob is ... | {
"repo_name": "allotria/intellij-community",
"path": "python/helpers/profiler/prof_util.py",
"copies": "22",
"size": "3567",
"license": "apache-2.0",
"hash": 4410724025994211000,
"line_mean": 26.2290076336,
"line_max": 115,
"alpha_frac": 0.585085506,
"autogenerated": false,
"ratio": 3.75473684210... |
__author__ = 'traff'
import threading
import os
import sys
import tempfile
from _prof_imports import Stats, FuncStat, Function
try:
execfile=execfile #Not in Py3k
except NameError:
#We must redefine it in Py3k if it's not already there
def execfile(file, glob=None, loc=None):
if glob is None:
... | {
"repo_name": "vvv1559/intellij-community",
"path": "python/helpers/profiler/prof_util.py",
"copies": "14",
"size": "3225",
"license": "apache-2.0",
"hash": -3838303629626971600,
"line_mean": 26.3305084746,
"line_max": 115,
"alpha_frac": 0.5879069767,
"autogenerated": false,
"ratio": 3.7326388888... |
__author__ = 'traff'
import threading
import os
import tempfile
from _prof_imports import Stats, FuncStat, Function
class ProfDaemonThread(threading.Thread):
def __init__(self):
super(ProfDaemonThread, self).__init__()
self.setDaemon(True)
self.killReceived = False
def run(self):
... | {
"repo_name": "lucafavatella/intellij-community",
"path": "python/helpers/profiler/prof_util.py",
"copies": "45",
"size": "1803",
"license": "apache-2.0",
"hash": -3603986794119167500,
"line_mean": 25.1304347826,
"line_max": 101,
"alpha_frac": 0.5696062119,
"autogenerated": false,
"ratio": 3.606,... |
__author__ = 'Tran Huu Cuong'
#import pymongo
import csv
from app import app, db
from app.models import term
from flask import abort, jsonify, request
import datetime
import json
import titlecase
#from pymongo import MongoClient
#client = MongoClient('mongodb://localhost:27017/')
#db = client.dict_financial
path... | {
"repo_name": "tranhuucuong91/glossary",
"path": "import_data/import_data.py",
"copies": "1",
"size": "1575",
"license": "apache-2.0",
"hash": 979945646363285100,
"line_mean": 25.6949152542,
"line_max": 103,
"alpha_frac": 0.5625396825,
"autogenerated": false,
"ratio": 3.492239467849224,
"config... |
__author__ = 'Traphix'
import struct
# Format C Type Python type Standard size
# x pad byte no value
# c char bytes of length 1 1
# b signed char integer 1
# B unsigned char integer ... | {
"repo_name": "halexan/Headquarters",
"path": "test/lc_client/msg_proto.py",
"copies": "1",
"size": "2656",
"license": "mit",
"hash": 1667572458838635800,
"line_mean": 41.1587301587,
"line_max": 104,
"alpha_frac": 0.4977409639,
"autogenerated": false,
"ratio": 3.3158551810237205,
"config_test":... |
__author__ = 'Traphix'
import struct
import cfg
import msg_proto
# from cfg import LOG
# downlink message base class
class MsgDownBase(object):
def __init__(self, local_ctrl):
super(MsgDownBase, self).__init__()
self.local_ctrl = local_ctrl
self.msg_type = None
self.msg_len = None
... | {
"repo_name": "halexan/Headquarters",
"path": "test/lc_client/msg_proto_parser.py",
"copies": "1",
"size": "3990",
"license": "mit",
"hash": 1813489596678772500,
"line_mean": 30.6666666667,
"line_max": 96,
"alpha_frac": 0.5533834586,
"autogenerated": false,
"ratio": 3.3870967741935485,
"config_... |
__author__ = 'Traphix'
from cfg import LOG
# basic event, other events are derived from this class
class EventTFLCPMsgBase(object):
def __init__(self, msg=None):
super(EventTFLCPMsgBase, self).__init__()
self.msg = msg
# Message Event Definition
# only uplink message generate Events
c... | {
"repo_name": "halexan/Headquarters",
"path": "src/headquarters/tflc_event.py",
"copies": "1",
"size": "2624",
"license": "mit",
"hash": 2674470083707670500,
"line_mean": 30.8,
"line_max": 122,
"alpha_frac": 0.5769817073,
"autogenerated": false,
"ratio": 4.036923076923077,
"config_test": false,... |
__author__ = 'Traphix'
import struct
import cfg
import msg_proto
from cfg import LOG
# downlink message base class
class MsgDownBase(object):
def __init__(self, local_ctrl):
super(MsgDownBase, self).__init__()
self.local_ctrl = local_ctrl
self.msg_type = None
self.msg_... | {
"repo_name": "halexan/Headquarters",
"path": "src/headquarters/msg_proto_parser.py",
"copies": "1",
"size": "5960",
"license": "mit",
"hash": 1682627931948763000,
"line_mean": 32.8538011696,
"line_max": 120,
"alpha_frac": 0.5427852349,
"autogenerated": false,
"ratio": 3.348314606741573,
"confi... |
__author__ = 'Traphix'
import tflc_event
import msg_proto
import msg_proto_parser
import struct
from cfg import LOG
# Global Event Dispatcher
EVENT_DISPATCHER = tflc_event.EventDispatcher()
# uplink message handling
def hello_up_handler(local_ctrl, msg_type, msg_len, data):
msg = msg_proto_parser.... | {
"repo_name": "halexan/Headquarters",
"path": "src/headquarters/msg_handler.py",
"copies": "1",
"size": "3520",
"license": "mit",
"hash": 2056474774362530000,
"line_mean": 43.7402597403,
"line_max": 101,
"alpha_frac": 0.5522727273,
"autogenerated": false,
"ratio": 3.4108527131782944,
"config_te... |
__author__ = 'Travis Moy'
import math
import random
import AStar
# ExampleMap holds both a map (a 2-D array of True/False values indicating passability) and the four functions noted
# in AStar.
class ExampleMap(object):
PROB_OBSTRUCTED = .25
MAP_SIZE = 20
def __init__(self):
self.map = [[(lambda:... | {
"repo_name": "MoyTW/AStar",
"path": "example.py",
"copies": "1",
"size": "4547",
"license": "mit",
"hash": 2367588231401604000,
"line_mean": 37.8717948718,
"line_max": 116,
"alpha_frac": 0.5852210249,
"autogenerated": false,
"ratio": 3.736236647493837,
"config_test": false,
"has_no_keywords"... |
__author__ = 'Travis Moy'
import math
# Holds the three angles for each cell. Near is closest to the horizontal/vertical line, and far is furthest.
#
# Also used for obstructions; for the purposes of obstructions, the center variable is ignored.
class CellAngles(object):
def __init__(self, near, center, far):
... | {
"repo_name": "MoyTW/roguebasin_rpas",
"path": "rpas.py",
"copies": "1",
"size": "8471",
"license": "mit",
"hash": 4878514197272051000,
"line_mean": 45.2950819672,
"line_max": 119,
"alpha_frac": 0.609019006,
"autogenerated": false,
"ratio": 3.8174853537629563,
"config_test": false,
"has_no_ke... |
__author__ = 'Travis Moy'
import random
import rpas
# Map generation parameters
prob_is_obstructed = .1
map_size = 20
# False values are obstructed; True are unobstructed.
map = [[(lambda: prob_is_obstructed < random.uniform(0.0, 1.0))() for _ in range(map_size)] for _ in range(map_size)]
# Normally this would be... | {
"repo_name": "MoyTW/roguebasin_rpas",
"path": "example.py",
"copies": "1",
"size": "1585",
"license": "mit",
"hash": 4811450502660926000,
"line_mean": 23.78125,
"line_max": 117,
"alpha_frac": 0.6498422713,
"autogenerated": false,
"ratio": 3.1139489194499017,
"config_test": false,
"has_no_key... |
__author__ = 'Travis Moy'
# This is an implementation of the A* pathfinding algorithm.
#
# It is designed to be usable in as many different situations as possible, with as many different types of nodes as
# possible. Therefore, it does not directly manipulate any of the data, and may be used with any data format the u... | {
"repo_name": "MoyTW/AStar",
"path": "AStar.py",
"copies": "1",
"size": "6397",
"license": "mit",
"hash": -3870866340722978300,
"line_mean": 41.9395973154,
"line_max": 120,
"alpha_frac": 0.6431139597,
"autogenerated": false,
"ratio": 4.18651832460733,
"config_test": false,
"has_no_keywords": ... |
__author__ = 'Travis'
# API ID = this is being kept in a separate file for security reasons
# correct_url = 'http://api.openweathermap.org/data/2.5/weather?q=Austin,tx&APPID=
import requests
import json
from datetime import date, datetime
city = raw_input("Get forecast for which city/state? Use the format: City,st. >... | {
"repo_name": "tjc0090/weather_forecast",
"path": "weatherAPI.py",
"copies": "1",
"size": "4369",
"license": "mit",
"hash": -7816850753943848000,
"line_mean": 33.4094488189,
"line_max": 121,
"alpha_frac": 0.6282902266,
"autogenerated": false,
"ratio": 3.563621533442088,
"config_test": false,
... |
from __future__ import division, print_function, absolute_import
from functools import partial
from . import _quadpack
import sys
import numpy
from numpy import Inf
__all__ = ['quad', 'dblquad', 'tplquad', 'nquad', 'quad_explain']
error = _quadpack.error
def quad_explain(output=sys.stdout):
"""
Print ext... | {
"repo_name": "juliantaylor/scipy",
"path": "scipy/integrate/quadpack.py",
"copies": "1",
"size": "28020",
"license": "bsd-3-clause",
"hash": -2738788785271650300,
"line_mean": 40.5111111111,
"line_max": 468,
"alpha_frac": 0.6151320485,
"autogenerated": false,
"ratio": 3.69608231104076,
"config... |
from __future__ import division, print_function, absolute_import
from functools import partial
from . import _quadpack
import sys
import numpy
from numpy import Inf
from scipy.lib.six import callable
__all__ = ['quad', 'dblquad', 'tplquad', 'nquad', 'quad_explain']
error = _quadpack.error
def quad_explain(outpu... | {
"repo_name": "kmspriyatham/symath",
"path": "scipy/scipy/integrate/quadpack.py",
"copies": "2",
"size": "28056",
"license": "apache-2.0",
"hash": -2656767464608632300,
"line_mean": 40.4416543575,
"line_max": 468,
"alpha_frac": 0.6153763901,
"autogenerated": false,
"ratio": 3.6959557370570413,
... |
from __future__ import division, print_function, absolute_import
import sys
import warnings
from functools import partial
from . import _quadpack
import numpy
from numpy import Inf
__all__ = ['quad', 'dblquad', 'tplquad', 'nquad', 'quad_explain',
'IntegrationWarning']
error = _quadpack.error
class Inte... | {
"repo_name": "argriffing/scipy",
"path": "scipy/integrate/quadpack.py",
"copies": "8",
"size": "31950",
"license": "bsd-3-clause",
"hash": 8339422567630786000,
"line_mean": 40.0668380463,
"line_max": 468,
"alpha_frac": 0.5976525822,
"autogenerated": false,
"ratio": 3.805383515959981,
"config_t... |
from __future__ import division, print_function, absolute_import
import sys
import warnings
from functools import partial
import numpy
from numpy import Inf
from . import _quadpack
__all__ = ['quad', 'dblquad', 'tplquad', 'nquad', 'quad_explain',
'IntegrationWarning']
error = _quadpack.error
class Int... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scipy-master/scipy/integrate/quadpack.py",
"copies": "1",
"size": "32100",
"license": "mit",
"hash": -7820675159324976000,
"line_mean": 39.8396946565,
"line_max": 467,
"alpha_frac": 0.596105919,
"autogenerated": false,
"ratio": 3.80376... |
import sys
import warnings
from functools import partial
from . import _quadpack
import numpy
from numpy import Inf
__all__ = ['quad', 'dblquad', 'tplquad', 'nquad', 'quad_explain',
'IntegrationWarning']
error = _quadpack.error
class IntegrationWarning(UserWarning):
"""
Warning on issues during ... | {
"repo_name": "pizzathief/scipy",
"path": "scipy/integrate/quadpack.py",
"copies": "2",
"size": "37361",
"license": "bsd-3-clause",
"hash": -5075002082565106000,
"line_mean": 40.6046770601,
"line_max": 468,
"alpha_frac": 0.5929445143,
"autogenerated": false,
"ratio": 3.7980075226186845,
"config... |
from __future__ import division, print_function, absolute_import
from . import _quadpack
import sys
import numpy
from numpy import inf, Inf
__all__ = ['quad', 'dblquad', 'tplquad', 'quad_explain']
error = _quadpack.error
def quad_explain(output=sys.stdout):
"""
Print extra information about integrate.quad(... | {
"repo_name": "Universal-Model-Converter/UMC3.0a",
"path": "data/Python/x86/Lib/site-packages/scipy/integrate/quadpack.py",
"copies": "3",
"size": "21061",
"license": "mit",
"hash": -4602289911849658400,
"line_mean": 42.1577868852,
"line_max": 468,
"alpha_frac": 0.6339205166,
"autogenerated": false... |
from __future__ import division, print_function, absolute_import
import warnings
import numpy as np
from numpy.random import RandomState
from numpy.testing import (assert_array_equal,
assert_almost_equal, assert_array_less, assert_array_almost_equal,
assert_, assert_allclose, assert_equal, assert_warns, suppr... | {
"repo_name": "arokem/scipy",
"path": "scipy/stats/tests/test_morestats.py",
"copies": "1",
"size": "76762",
"license": "bsd-3-clause",
"hash": 430921813454607360,
"line_mean": 39.8961108151,
"line_max": 92,
"alpha_frac": 0.5601078659,
"autogenerated": false,
"ratio": 2.902374470659407,
"config... |
from __future__ import division, print_function, absolute_import
import warnings
import numpy as np
from numpy.random import RandomState
from numpy.testing import (TestCase, run_module_suite, assert_array_equal,
assert_almost_equal, assert_array_less, assert_array_almost_equal,
assert_raises, assert_, assert_... | {
"repo_name": "marcsans/cnn-physics-perception",
"path": "phy/lib/python2.7/site-packages/scipy/stats/tests/test_morestats.py",
"copies": "7",
"size": "51601",
"license": "mit",
"hash": 4381120917401242600,
"line_mean": 37.7977443609,
"line_max": 86,
"alpha_frac": 0.5702021279,
"autogenerated": fal... |
import warnings
import numpy as np
from numpy.random import RandomState
from numpy.testing import (assert_array_equal,
assert_almost_equal, assert_array_less, assert_array_almost_equal,
assert_, assert_allclose, assert_equal, suppress_warnings)
import pytest
from pytest import raises as assert_raises
from sci... | {
"repo_name": "person142/scipy",
"path": "scipy/stats/tests/test_morestats.py",
"copies": "2",
"size": "76344",
"license": "bsd-3-clause",
"hash": 7168011914055329000,
"line_mean": 39.869379015,
"line_max": 92,
"alpha_frac": 0.5597034476,
"autogenerated": false,
"ratio": 2.8982954329752095,
"co... |
from __future__ import division, print_function, absolute_import
import math
import warnings
from collections import namedtuple
import numpy as np
from numpy import (isscalar, r_, log, around, unique, asarray,
zeros, arange, sort, amin, amax, any, atleast_1d,
sqrt, ceil, floor, a... | {
"repo_name": "mgaitan/scipy",
"path": "scipy/stats/morestats.py",
"copies": "2",
"size": "91460",
"license": "bsd-3-clause",
"hash": 1200228768328960500,
"line_mean": 32.761535622,
"line_max": 103,
"alpha_frac": 0.5952766237,
"autogenerated": false,
"ratio": 3.441839461107139,
"config_test": t... |
from __future__ import division, print_function, absolute_import
import math
import warnings
import numpy as np
from numpy import (isscalar, r_, log, sum, around, unique, asarray,
zeros, arange, sort, amin, amax, any, atleast_1d,
sqrt, ceil, floor, array, poly1d, compress,
... | {
"repo_name": "jsilter/scipy",
"path": "scipy/stats/morestats.py",
"copies": "2",
"size": "78560",
"license": "bsd-3-clause",
"hash": -8829402445241241000,
"line_mean": 32.0222782682,
"line_max": 83,
"alpha_frac": 0.5909495927,
"autogenerated": false,
"ratio": 3.4410862899693386,
"config_test":... |
from __future__ import division, print_function, absolute_import
import math
import warnings
import numpy as np
from numpy import (isscalar, r_, log, sum, around, unique, asarray,
zeros, arange, sort, amin, amax, any, atleast_1d, sqrt, ceil,
floor, array, poly1d, compress, not_equal, pi, exp, ravel, angle)
... | {
"repo_name": "chaluemwut/fbserver",
"path": "venv/lib/python2.7/site-packages/scipy/stats/morestats.py",
"copies": "7",
"size": "78330",
"license": "apache-2.0",
"hash": 8807157582983980000,
"line_mean": 31.9533024821,
"line_max": 86,
"alpha_frac": 0.5935912166,
"autogenerated": false,
"ratio": ... |
from __future__ import division, print_function, absolute_import
import math
import sys
import threading
import timeit
import warnings
import numpy as np
from numpy import (allclose, angle, arange, argsort, array, asarray,
atleast_1d, atleast_2d, cast, dot, exp, expand_dims,
isc... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scipy-master/scipy/signal/signaltools.py",
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from __future__ import division, print_function, absolute_import
import operator
import math
import sys
import timeit
from scipy.spatial import cKDTree
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len, _upfirdn_modes
from scipy import linalg, fft as sp_fft
from scipy.fft._helper import _init_nd... | {
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from __future__ import division, print_function, absolute_import
import operator
import sys
import timeit
from scipy.spatial import cKDTree
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len, _upfirdn_modes
from scipy._lib.six import callable
from scipy import linalg, fft as sp_fft
from scipy.fft... | {
"repo_name": "jamestwebber/scipy",
"path": "scipy/signal/signaltools.py",
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from __future__ import division, print_function, absolute_import
import operator
import sys
import timeit
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len
from scipy._lib.six import callable
from scipy import linalg, fft as sp_fft
from scipy.fft._helper import _init_nd_shape_and_axes
from nump... | {
"repo_name": "jor-/scipy",
"path": "scipy/signal/signaltools.py",
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from __future__ import division, print_function, absolute_import
import operator
import threading
import sys
import timeit
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, linalg
from nu... | {
"repo_name": "mbayon/TFG-MachineLearning",
"path": "venv/lib/python3.6/site-packages/scipy/signal/signaltools.py",
"copies": "4",
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"ra... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
if sys.version_info.major >= 3 and sys.version_info.minor >= 5:
from math import gcd
else:
from fractions import gcd
from . import sigtools
from ._upfirdn import _UpFIRDn, _output_len
from scipy._lib.... | {
"repo_name": "chatcannon/scipy",
"path": "scipy/signal/signaltools.py",
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from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
import timeit
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, linalg
from nu... | {
"repo_name": "HesselTjeerdsma/Cyber-Physical-Pacman-Game",
"path": "Algor/flask/lib/python2.7/site-packages/scipy/signal/signaltools.py",
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"hash": -6342050037518855000,
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... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
import timeit
from . import sigtools, dlti
from ._upfirdn import upfirdn, _UpFIRDn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, lina... | {
"repo_name": "woodscn/scipy",
"path": "scipy/signal/signaltools.py",
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"config_te... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
from . import sigtools, dlti
from ._upfirdn import upfirdn, _UpFIRDn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, linalg
from numpy ... | {
"repo_name": "argriffing/scipy",
"path": "scipy/signal/signaltools.py",
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from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
from . import sigtools, lti
from ._upfirdn import _UpFIRDn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, linalg
from numpy import (al... | {
"repo_name": "niknow/scipy",
"path": "scipy/signal/signaltools.py",
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"config_test":... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
import sys
from . import sigtools
from ._upfirdn import _UpFIRDn, _output_len
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, linalg
from numpy import (allclos... | {
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"path": "scipy/signal/signaltools.py",
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"config_test"... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
from . import sigtools
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import fftpack, linalg
from numpy import (allclose, angle, arange, argsort, array, asarray,
... | {
"repo_name": "poojavade/Genomics_Docker",
"path": "Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/scipy/signal/signaltools.py",
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"hash": -9122598729511614000,
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"alpha_frac": 0.559... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
from . import sigtools
from scipy.lib.six import callable
from scipy.lib._version import NumpyVersion
from scipy import linalg
from scipy.fftpack import (fft, ifft, ifftshift, fft2, ifft2, fftn,
... | {
"repo_name": "jshiv/turntable",
"path": "test/lib/python2.7/site-packages/scipy/signal/signaltools.py",
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"autogenerated": false,
"ratio": 3.482754... |
from __future__ import division, print_function, absolute_import
import warnings
import threading
from . import sigtools
from scipy._lib.six import callable
from scipy._lib._version import NumpyVersion
from scipy import linalg
from scipy.fftpack import (fft, ifft, ifftshift, fft2, ifft2, fftn,
... | {
"repo_name": "dch312/scipy",
"path": "scipy/signal/signaltools.py",
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"license": "bsd-3-clause",
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"alpha_frac": 0.5596289807,
"autogenerated": false,
"ratio": 3.460377358490566,
"config_test":... |
from __future__ import division, print_function, absolute_import
import warnings
from . import sigtools
from scipy.lib.six import callable
from scipy import linalg
from scipy.fftpack import (fft, ifft, ifftshift, fft2, ifft2, fftn,
ifftn, fftfreq)
from numpy.fft import rfftn, irfftn
from n... | {
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"path": "scipy/signal/signaltools.py",
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"alpha_frac": 0.546577145,
"autogenerated": false,
"ratio": 3.484686379401564,
"config_test":... |
import operator
import math
import sys
import timeit
from scipy.spatial import cKDTree
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len, _upfirdn_modes
from scipy import linalg, fft as sp_fft
from scipy.fft._helper import _init_nd_shape_and_axes
import numpy as np
from scipy.special import lambe... | {
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"path": "scipy/signal/signaltools.py",
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"config_tes... |
import operator
import math
import timeit
from scipy.spatial import cKDTree
from . import sigtools, dlti
from ._upfirdn import upfirdn, _output_len, _upfirdn_modes
from scipy import linalg, fft as sp_fft
from scipy.fft._helper import _init_nd_shape_and_axes
from scipy._lib._util import prod as _prod
import numpy as np... | {
"repo_name": "pizzathief/scipy",
"path": "scipy/signal/signaltools.py",
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"config_... |
import types
import sigtools
from scipy import special, linalg
from scipy.fftpack import fft, ifft, ifftshift, fft2, ifft2, fftn, ifftn
from numpy import polyadd, polymul, polydiv, polysub, \
roots, poly, polyval, polyder, cast, asarray, isscalar, atleast_1d, \
ones, sin, linspace, real, extract, real_if_clo... | {
"repo_name": "huard/scipy-work",
"path": "scipy/signal/signaltools.py",
"copies": "1",
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"license": "bsd-3-clause",
"hash": 2015885511581352000,
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"autogenerated": false,
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"config_te... |
import types
import warnings
import sigtools
from scipy import special, linalg
from scipy.fftpack import fft, ifft, ifftshift, fft2, ifft2, fftn, \
ifftn, fftfreq
from numpy import polyadd, polymul, polydiv, polysub, \
roots, poly, polyval, polyder, cast, asarray, isscalar, atleast_1d, \
ones, sin, lin... | {
"repo_name": "stefanv/scipy3",
"path": "scipy/signal/signaltools.py",
"copies": "1",
"size": "53313",
"license": "bsd-3-clause",
"hash": -556038568353377700,
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"line_max": 104,
"alpha_frac": 0.5336784649,
"autogenerated": false,
"ratio": 3.2996843473417097,
"config_te... |
import sigtools
from scipy import linalg
from scipy.fftpack import fft, ifft, ifftshift, fft2, ifft2, fftn, \
ifftn, fftfreq
from numpy import polyadd, polymul, polydiv, polysub, roots, \
poly, polyval, polyder, cast, asarray, isscalar, atleast_1d, \
ones, real_if_close, zeros, array, arange, ... | {
"repo_name": "teoliphant/scipy",
"path": "scipy/signal/signaltools.py",
"copies": "2",
"size": "50403",
"license": "bsd-3-clause",
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"config_te... |
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, polyint
__all__ = ['sawtooth', 'square', 'gausspulse', 'chirp', 'sweep_poly']
def sawtooth(t, width=1):
"""
Return a pe... | {
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"config_test": f... |
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, polyint
from scipy._lib.six import string_types
__all__ = ['sawtooth', 'square', 'gausspulse', 'chirp', 'sweep_poly',
... | {
"repo_name": "ammarkhann/FinalSeniorCode",
"path": "lib/python2.7/site-packages/scipy/signal/waveforms.py",
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"autogenerated": false,
"ratio": 3.31... |
from __future__ import division, print_function, absolute_import
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, polyint
__all__ = ['sawtooth', 'square', 'gausspulse', 'chirp', 'sweep_poly',
'unit_impulse']
def sawtooth(t, width... | {
"repo_name": "arokem/scipy",
"path": "scipy/signal/waveforms.py",
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"size": "21015",
"license": "bsd-3-clause",
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"config_test": ... |
from __future__ import division, print_function, absolute_import
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, polyint
__all__ = ['sawtooth', 'square', 'gausspulse', 'chirp', 'sweep_poly']
def sawtooth(t, width=1):
"""
Return a periodic sawtooth o... | {
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"path": "scipy/signal/waveforms.py",
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"alpha_frac": 0.5696814759,
"autogenerated": false,
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"config_test": ... |
import numpy as np
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, polyint
__all__ = ['sawtooth', 'square', 'gausspulse', 'chirp', 'sweep_poly',
'unit_impulse']
def sawtooth(t, width=1):
"""
Return a periodic sawtooth or triangle waveform.
... | {
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"path": "scipy/signal/waveforms.py",
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"config_test":... |
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, polyval, polyint
__all__ = ['sawtooth', 'square', 'gausspulse', 'chirp', 'sweep_poly']
def sawtooth(t, width=1):
"""
Return a periodic sawtooth or triangle waveform.
The sawtooth waveform has a period ``2*p... | {
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"config_tes... |
from numpy import asarray, zeros, place, nan, mod, pi, extract, log, sqrt, \
exp, cos, sin, size, polyval, polyint, log10
def sawtooth(t,width=1):
"""Returns a periodic sawtooth waveform with period 2*pi
which rises from -1 to 1 on the interval 0 to width*2*pi
and drops from 1 to -1 on the interval w... | {
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from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
from . import _odepack
from copy import copy
import warnings
class ODEintWarning(Warning):
pass
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
-1: "Excess work done... | {
"repo_name": "mtrbean/scipy",
"path": "scipy/integrate/odepack.py",
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"config_test"... |
from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
from . import _odepack
from copy import copy
import warnings
class ODEintWarning(Warning):
pass
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
-1: "Excess work do... | {
"repo_name": "DailyActie/Surrogate-Model",
"path": "01-codes/scipy-master/scipy/integrate/odepack.py",
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"autogenerated": false,
"ratio": 3.8933884... |
from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
from . import _odepack
from copy import copy
_msgs = {2: "Integration successful.",
-1: "Excess work done on this call (perhaps wrong Dfun type).",
-2: "Excess accuracy requested (tolerances too small).",
... | {
"repo_name": "juliantaylor/scipy",
"path": "scipy/integrate/odepack.py",
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"line_max": 83,
"alpha_frac": 0.6048044529,
"autogenerated": false,
"ratio": 4.130066545674532,
"config_t... |
from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
from . import _odepack
from copy import copy
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
-1: "Excess work done on this call (perhaps wrong Dfun type).",
-2: ... | {
"repo_name": "efiring/scipy",
"path": "scipy/integrate/odepack.py",
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"line_max": 83,
"alpha_frac": 0.6052078958,
"autogenerated": false,
"ratio": 4.11463133640553,
"config_test": ... |
from __future__ import division, print_function, absolute_import
__all__ = ['odeint']
import numpy as np
from . import _odepack
from copy import copy
import warnings
class ODEintWarning(Warning):
pass
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
... | {
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"path": "scipy/integrate/odepack.py",
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"alpha_frac": 0.5989660266,
"autogenerated": false,
"ratio": 3.92463768115942,
"config_test": f... |
__all__ = ['odeint']
import numpy as np
from . import _odepack
from copy import copy
import warnings
class ODEintWarning(Warning):
pass
_msgs = {2: "Integration successful.",
1: "Nothing was done; the integration time was 0.",
-1: "Excess work done on this call (perhaps wrong Dfun type).",
... | {
"repo_name": "aeklant/scipy",
"path": "scipy/integrate/odepack.py",
"copies": "21",
"size": "10740",
"license": "bsd-3-clause",
"hash": -7822048530874692000,
"line_mean": 40.4671814672,
"line_max": 102,
"alpha_frac": 0.5993482309,
"autogenerated": false,
"ratio": 3.9412844036697248,
"config_te... |
__all__ = ['odeint']
import _odepack
from copy import copy
_msgs = {2: "Integration successful.",
-1: "Excess work done on this call (perhaps wrong Dfun type).",
-2: "Excess accuracy requested (tolerances too small).",
-3: "Illegal input detected (internal error).",
-4: "Repeated ... | {
"repo_name": "teoliphant/scipy",
"path": "scipy/integrate/odepack.py",
"copies": "2",
"size": "6598",
"license": "bsd-3-clause",
"hash": -8992353261197607000,
"line_mean": 40.4968553459,
"line_max": 83,
"alpha_frac": 0.6006365565,
"autogenerated": false,
"ratio": 4.12375,
"config_test": false,... |
__author__ = 'traviswarren'
from django.test import TestCase
from django.core.urlresolvers import reverse
from django.contrib.auth.models import User
from teamtemp.responses.models import TeamTemperature, make_uuid
from teamtemp.tests.factories import TeamTemperatureFactory
class AdminViewTestCases(TestCase):
... | {
"repo_name": "teamtemp/teamtemp",
"path": "teamtemp/tests/views/test_admin_views.py",
"copies": "1",
"size": "3448",
"license": "mit",
"hash": 4053665893410030600,
"line_mean": 35.2947368421,
"line_max": 106,
"alpha_frac": 0.6806844548,
"autogenerated": false,
"ratio": 4.085308056872038,
"conf... |
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