id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
33785 | from django.conf.urls import url
from django.conf.urls import patterns
from django.views.generic import TemplateView
view = TemplateView.as_view(template_name='dummy.html')
urlpatterns = patterns('',
url(r'^nl/foo/', view, name='not-translated'),
)
|
33786 | from rest_framework import serializers
from .models import Subscriber
class SubscriberSerializer(serializers.ModelSerializer):
class Meta:
model = Subscriber
fields = (
'email',
)
|
33788 | import collections
try:
stringtype = basestring # python 2
except:
stringtype = str # python 3
def coerce_to_list(x):
if isinstance(x, stringtype):
return x.replace(',', ' ').split()
return x or []
def namedtuple(name, args=None, optional=None):
args = coerce_to_list(args)
optiona... |
33793 | from twitchchatbot.lib.commands.parsing import commands
import json
def addcom(user, args):
# Concatenate a list of strings down to a single, space delimited string.
queueEvent = {}
if len(args) < 2:
queueEvent['msg'] = "Proper usage: !addcom <cmd> <Text to send>"
else:
commandHead = ... |
33795 | import os
import shutil
import argparse
import torch
from torch import nn
from torchvision.utils import save_image, make_grid
import matplotlib.pyplot as plt
import numpy as np
import cv2 as cv
import utils.utils as utils
from utils.constants import *
class GenerationMode(enum.Enum):
SINGLE_IMAGE = 0,
INT... |
33810 | from .._common import *
from yo_fluq import *
Queryable = lambda *args, **kwargs: FlupFactory.QueryableFactory(*args, **kwargs)
T = TypeVar('T')
TOut = TypeVar('TOut')
TKey = TypeVar('TKey')
TValue = TypeVar('TValue')
TFactory = TypeVar('TFactory') |
33814 | import numpy as np
def CalcEnergy(m_amu,Px_au,Py_au,Pz_au):
amu2au = 1836.15
return 27.2*(Px_au**2 + Py_au**2 + Pz_au**2)/(2*amu2au*m_amu)
|
33877 | import inspect
from collections import namedtuple
import numpy as np
from sklearn.ensemble import GradientBoostingRegressor
from sklearn.model_selection import train_test_split
from sklearn.exceptions import NotFittedError
from uq360.algorithms.posthocuq import PostHocUQ
class MetamodelRegression(PostHocUQ):
"""... |
33900 | from typing import Tuple
class BaseTimer:
"""
A timer controls the time passed into the the render function.
This can be used in creative ways to control the current time
such as basing it on current location in an audio file.
All methods must be implemented.
"""
@property
... |
33920 | def coding_problem_41(flights_db, starting_airport):
"""
Given an unordered list of flights taken by someone, each represented as (origin, destination) pairs, and a
starting airport, compute the person's itinerary. If no such itinerary exists, return null. If there are multiple
possible itineraries, ret... |
33931 | import numpy as np
class NumpyDynamic:
def __init__(self, dtype, array_size=(100,)):
self.data = np.zeros(array_size, dtype)
self.array_size = list(array_size)
self.size = 0
def add(self, x):
if self.size == self.array_size[0]:
self.array_size[0] *= 2
... |
33937 | import os
import random
from sklearn.metrics import mean_squared_error as mse
from core.composer.chain import Chain
from core.composer.composer import ComposerRequirements, DummyChainTypeEnum, DummyComposer
from core.models.data import OutputData
from core.models.model import *
from core.repository.dataset_t... |
33953 | import socket
import struct
import json
import time
import os
import platform
from optparse import OptionParser
import sys
import xml.etree.ElementTree as ET
import config
from device_config import BASE_CONST
MCAST_GRP = '192.168.3.11'
MCAST_PORT = 8427
DEFAULT_DCID_XML = '/Applications/Shure Update Utility.app/C... |
33954 | import fastai
from neptune.new.integrations.fastai import NeptuneCallback
from fastai.vision.all import *
import neptune.new as neptune
run = neptune.init(
project="common/fastai-integration", api_token="<PASSWORD>", tags="basic"
)
path = untar_data(URLs.MNIST_TINY)
dls = ImageDataLoaders.from_csv(path)
# Log al... |
33979 | import time
def f():
[
# Must be split over multiple lines to see the error.
# https://github.com/benfred/py-spy/pull/208
time.sleep(1)
for _ in range(1000)
]
f()
|
34007 | import asyncio
from aiohttp import web
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
from multiprocessing import Queue, Process
import os
from time import sleep
async def handle(request):
index = open("index.html", 'rb')
content = index.read()
return web.Response(body=content, co... |
34012 | api_output_for_empty_months = """"Usage Data Extract",
"",
"AccountOwnerId","Account Name","ServiceAdministratorId","SubscriptionId","SubscriptionGuid","Subscription Name","Date","Month","Day","Year","Product","Meter ID","Meter Category","Meter Sub-Category","Meter Region","Meter Name","Consumed Quantity","Reso... |
34015 | import numpy as np
import numpy.linalg as LA
from .solve_R1 import problem_R1, Classo_R1, pathlasso_R1
from .solve_R2 import problem_R2, Classo_R2, pathlasso_R2
from .solve_R3 import problem_R3, Classo_R3, pathlasso_R3
from .solve_R4 import problem_R4, Classo_R4, pathlasso_R4
from .path_alg import solve_path, pathalgo... |
34022 | from tensorpy import image_base
classifications = image_base.classify_folder_images('./images')
print("*** Displaying Image Classification Results as a list: ***")
for classification in classifications:
print(classification)
|
34023 | import argparse
import torch
from torch.utils.data import DataLoader
import sys, os
sys.path.insert(0, os.path.join(
os.path.dirname(os.path.realpath(__file__)), "../../"))
from deep_audio_features.dataloading.dataloading import FeatureExtractorDataset
from deep_audio_features.models.cnn import load_cnn
from deep_a... |
34070 | from jmap.account.imap.imap_utf7 import imap_utf7_decode, imap_utf7_encode
KNOWN_SPECIALS = set('\\HasChildren \\HasNoChildren \\NoSelect \\NoInferiors \\UnMarked \\Subscribed'.lower().split())
# special use or name magic
ROLE_MAP = {
'inbox': 'inbox',
'drafts': 'drafts',
'draft': 'drafts',
'draft messages':... |
34091 | import jittor as jt
from jittor import nn
from jittor import Module
from jittor import init
from jittor.contrib import concat
from model.backbone import resnet50, resnet101
from model.backbone import res2net101
Backbone_List = ['resnet50', 'resnet101', 'res2net101']
class DeepLab(Module):
def __init__(self, outp... |
34159 | import pytest
from teos.extended_appointment import ExtendedAppointment
@pytest.fixture
def ext_appointment_data(generate_dummy_appointment):
return generate_dummy_appointment().to_dict()
# Parent methods are not tested.
def test_init_ext_appointment(ext_appointment_data):
# The appointment has no checks... |
34201 | import copy
import datetime
import os
import random
import traceback
import numpy as np
import torch
from torch.utils.data import DataLoader
from torchvision.utils import save_image
from inference.inference_utils import get_trange, get_tqdm
def init_random_seed(value=0):
random.seed(value)
np.random.seed(va... |
34221 | import relstorage.storage
import ZODB.Connection
# Monkey patches, ook
def _ex_cursor(self, name=None):
if self._stale_error is not None:
raise self._stale_error
with self._lock:
self._before_load()
return self._load_conn.cursor(name)
relstorage.storage.RelStorage.ex_cursor = _ex_curs... |
34225 | import copy
import sys
from . import compat
from .compat import urlencode, parse_qs
class Request(compat.Request):
def __init__(self, url, parameters=None, headers=None):
self.parameters = parameters
if parameters is None:
data = None
else:
if sys.version_info >= (... |
34246 | from ._unselected import Unselected
from plotly.graph_objs.scattermapbox import unselected
from ._textfont import Textfont
from ._stream import Stream
from ._selected import Selected
from plotly.graph_objs.scattermapbox import selected
from ._marker import Marker
from plotly.graph_objs.scattermapbox import marker
from ... |
34256 | from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('extras', '0060_customlink_button_class'),
]
operations = [
migrations.AddField(
model_name='customfield',
name='created',
field=models.DateField(auto_now... |
34302 | def handler(event, context):
return {
"statusCode": 302,
"headers": {
"Location": "https://www.nhsx.nhs.uk/covid-19-response/data-and-covid-19/national-covid-19-chest-imaging-database-nccid/"
},
}
|
34308 | import sys
import cv2
from keras.models import load_model
from matplotlib import pyplot as plt
import time
model = load_model("models/model.h5")
def find_faces(image):
face_cascade = cv2.CascadeClassifier('data/haarcascade_frontalface_default.xml')
face_rects = face_cascade.detectMultiScale(
image,... |
34330 | import statistics
import hpbandster.core.result as hpres
# smallest value is best -> reverse_loss = True
# largest value is best -> reverse_loss = False
REVERSE_LOSS = True
EXP_LOSS = 1
OUTLIER_PERC_WORST = 0.1
OUTLIER_PERC_BEST = 0.0
def analyze_bohb(log_dir):
# load the example run from the log files
res... |
34380 | from wireless_msgs.msg import Connection
from .translator import Translator, TableTranslatorMixin
class ConnectionTranslator(Translator, TableTranslatorMixin):
messageType = Connection
geomType = Translator.GeomTypes.NoGeometry
@staticmethod
def translate(msg):
# Some forks of wireless_msgs... |
34439 | from .request_context import RequestContext
from .tracker import ContextTracker
from .request import DjangoRequest, FlaskRequest
|
34475 | import pyaf.Bench.TS_datasets as tsds
import pyaf.Bench.YahooStocks as ys
import warnings
symbol_lists = tsds.get_yahoo_symbol_lists();
y_keys = sorted(symbol_lists.keys())
print(y_keys)
k = "nysecomp"
tester = ys.cYahoo_Tester(tsds.load_yahoo_stock_prices(k) , "YAHOO_STOCKS_" + k);
with warnings.catch_warnings():
... |
34492 | from ray.rllib.contrib.bandits.envs.discrete import LinearDiscreteEnv, \
WheelBanditEnv
from ray.rllib.contrib.bandits.envs.parametric import ParametricItemRecoEnv
__all__ = ["LinearDiscreteEnv", "WheelBanditEnv", "ParametricItemRecoEnv"]
|
34497 | import string
import warnings
import re
from . import util
import spacy
class FileParser(object):
def __init__(self,
file_parser='txt',
xml_node_path=None, fparser=None):
if file_parser not in ['txt', 'xml', 'defined']:
msg = 'file_parser should be txt, xml or... |
34500 | import logging
import time
from tests.common.helpers.assertions import pytest_assert
logger = logging.getLogger(__name__)
def join_master(duthost, master_vip):
"""
Joins DUT to Kubernetes master
Args:
duthost: DUT host object
master_vip: VIP of high availability Kubernetes master
If... |
34548 | import os
import os.path as osp
import pickle
import time
import numpy as np
from multiprocessing import Pool
from ..utils import get_bbox_dim
from .misc import read_img_info, change_cls_order, get_classes
def load_imgs(img_dir, ann_dir=None, classes=None, nproc=10,
def_bbox_type='poly'):
assert d... |
34558 | from unittest import TestCase
from pylibsrtp import Error, Policy, Session
RTP = (
b"\x80\x08\x00\x00" # version, packet type, sequence number
b"\x00\x00\x00\x00" # timestamp
b"\x00\x00\x30\x39" # ssrc: 12345
) + (b"\xd4" * 160)
RTCP = (
b"\x80\xc8\x00\x06\xf3\xcb\x20\x01\x83\xab\x03\xa1\xeb\x02\x0... |
34575 | import json
import logging
from typing import Tuple
import requests
from django.conf import settings
from django.core.files.uploadedfile import InMemoryUploadedFile
from django.views.generic import FormView, TemplateView
from .forms import CodeSchoolForm
logger = logging.getLogger(__name__)
class IndexView(Templat... |
34599 | import calendar
import datetime
import re
import sys
from dateutil.relativedelta import relativedelta
import gam
from gam.var import *
from gam import controlflow
from gam import display
from gam import gapi
from gam import utils
from gam.gapi.directory import orgunits as gapi_directory_orgunits
def build():
re... |
34606 | import pandas as pd
X_train = pd.read_csv("X_train.csv")
df_y = pd.read_csv("y_train.csv")
y_train = df_y["y"]
X_test = pd.read_csv("X_test.csv")
|
34642 | import uuid
from datetime import datetime, timedelta
from controllers import zfsController
import jwt
import pam
import render
JWT_SECRET = "<KEY>"
JWT_ALGORITHM = "HS256"
JWT_EXP_DELTA_SECONDS = 4300
async def index(request):
return render.json({'error': 'nothing to see here...'}, 200)
async def auth(request... |
34724 | import abc
#inteface Component creamos la funcion buscador que es la que buscara alguna PaginaWeb en el SitioWeb
class ISitioWebComponent(metaclass=abc.ABCMeta):
@abc.abstractmethod
def buscador(self):
pass
# Concrete Component
class SitioWebConcreteComponent(ISitioWebComponent):
def __init__(s... |
34745 | from leapp.actors import Actor
from leapp.models import InstalledRedHatSignedRPM
from leapp.libraries.common.rpms import has_package
from leapp.reporting import Report, create_report
from leapp import reporting
from leapp.tags import ChecksPhaseTag, IPUWorkflowTag
class CheckAcpid(Actor):
"""
Check if acpid i... |
34747 | import os.path
import scipy.io as sio
import numpy as np # for algebraic operations, matrices
import keras.models
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Flatten, Dropout # , Layer, Flatten
# from keras.layers import containers
from keras.models import model_from_json,Mode... |
34749 | from twarc import Twarc2, expansions
import json
# Replace your bearer token below
client = Twarc2(bearer_token="<PASSWORD>")
def main():
# The followers function gets followers for specified user
followers = client.followers(user="twitterdev")
for page in followers:
result = expansions.flatten(p... |
34760 | import re
class AlphabetPosition:
alphabet = {
'a': 1,
'b': 2,
'c': 3,
'd': 4,
'e': 5,
'f': 6,
'g': 7,
'h': 8,
'i': 9,
'j': 10,
'k': 11,
'l': 12,
'm': 13,
'n': 14,
'o': 15,
'p': 16,
... |
34762 | from utils import (load_data, data_to_series_features,
apply_weight, is_minimum)
from algorithm import (initialize_weights, individual_to_key,
pop_to_weights, select, reconstruct_population)
from sklearn.metrics import mean_squared_error, mean_absolute_error
from tensorflow.ker... |
34789 | from java.lang import String
from org.myrobotlab.service import Speech
from org.myrobotlab.service import Sphinx
from org.myrobotlab.service import Runtime
# create mouth arduino and servo
ear = Runtime.createAndStart("ear","Sphinx")
arduino = Runtime.createAndStart("arduino","Arduino")
arduino.connect("COM4")
servo... |
34793 | import numpy as np
import dace as dc
M, N = (dc.symbol(s, dtype=dc.int64) for s in ('M', 'N'))
@dc.program
def flip(A: dc.float64[M]):
B = np.ndarray((M, ), dtype=np.float64)
for i in dc.map[0:M]:
B[i] = A[M - 1 - i]
return B
@dc.program
def kernel(r: dc.float64[N]):
y = np.empty_like(r)
... |
34794 | import starry
import numpy as np
import matplotlib.pyplot as plt
import pytest
@pytest.mark.parametrize("ydeg,nw", [[0, None], [0, 10], [1, None], [1, 10]])
def test_system(ydeg, nw):
# Oblate map
map = starry.Map(udeg=2, ydeg=ydeg, oblate=True, nw=nw)
map[1] = 0.5
map[2] = 0.25
map.omega = 0.5
... |
34807 | from electrum_gui.common.provider.chains.bch.provider import BCHProvider
from electrum_gui.common.provider.chains.btc.clients.blockbook import BlockBook
|
34821 | from __future__ import unicode_literals
from django.apps import AppConfig
class ImageConfig(AppConfig):
name = 'image'
|
34858 | from rest_framework import viewsets, permissions, serializers
from rest_framework.response import Response
from iaso.models import MatchingAlgorithm
from .common import HasPermission
class AlgorithmsSerializer(serializers.ModelSerializer):
class Meta:
model = MatchingAlgorithm
fields = ["id", "na... |
34896 | import unittest
import numpy as np
import prml.nn as nn
class TestGaussian(unittest.TestCase):
def test_gaussian_draw_forward(self):
mu = nn.array(0)
sigma = nn.softplus(nn.array(-1))
gaussian = nn.Gaussian(mu, sigma)
sample = []
for _ in range(1000):
sample.ap... |
34952 | import gevent
from gevent.queue import Queue, Empty
from gevent_subprocess import Popen, PIPE
from gsh.plugin import BaseExecutor, BaseInnerExecutor
class SshExecutor(BaseExecutor):
def __init__(self, args, kwargs):
self.ssh_opts = kwargs.get("ssh_opts", [])
super(SshExecutor, self).__init__(args,... |
35028 | import torch
import torch.nn as nn
from ..utils.torch import pack_forward
from .pooling import GatherLastLayer
class CharEncoder(nn.Module):
FORWARD_BACKWARD_AGGREGATION_METHODS = ["cat", "linear_sum"]
def __init__(
self,
char_embedding_dim,
hidden_size,
char_fw_bw_agg_method... |
35050 | import sys
if len(sys.argv) < 2:
print('Need the dataset name!')
exit(0)
for split in ['train', 'valid', 'test']:
with open('data/'+sys.argv[1]+'/'+split+'.txt', 'r') as f1, open(
'data/'+sys.argv[1]+'_pos_only/'+split+'.txt', 'r') as f2, open(
'data/'+sys.argv[1]+'_pos/'+split... |
35060 | from collections import OrderedDict, defaultdict
from contextlib import contextmanager
from datetime import datetime
import torch.cuda
from ..viz.plot import plot_timeline
def time(name=None, sync=False):
return Task(name=name, sync=sync, log=True)
class Task:
__slots__ = ('name', 'start_time', 'end_time', 'met... |
35084 | class Colors:
END = '\033[0m'
ERROR = '\033[91m[ERROR] '
INFO = '\033[94m[INFO] '
WARN = '\033[93m[WARN] '
def get_color(msg_type):
if msg_type == 'ERROR':
return Colors.ERROR
elif msg_type == 'INFO':
return Colors.INFO
elif msg_type == 'WARN':
return Colors.WARN
else:
return Colors.END... |
35094 | from __future__ import division
"""
critical properties of diffBragg objects which should be logged for reproducibility
"""
# TODO : implement a savestate and getstate for these objects
# attrs of diffBragg() instances
DIFFBRAGG_ATTRS = [
'Amatrix',
'Bmatrix',
'Ncells_abc',
'Ncells_abc_aniso',
'Ncells_def',
'N... |
35095 | from allennlp.data.fields import Field
def test_eq_with_inheritance():
class SubField(Field):
__slots__ = ["a"]
def __init__(self, a):
self.a = a
class SubSubField(SubField):
__slots__ = ["b"]
def __init__(self, a, b):
super().__init__(a)
... |
35124 | from ..helpers import IFPTestCase
from intficpy.things import Thing, Container, Liquid
class TestDropVerb(IFPTestCase):
def test_verb_func_drops_item(self):
item = Thing(self.game, self._get_unique_noun())
item.invItem = True
self.me.addThing(item)
self.assertIn(item.ix, self.me.c... |
35160 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from enum import Enum
class Type(Enum):
STRING = 'string'
NUMBER = 'number'
BOOLEAN = 'boolean'
DATE = 'date'
DATETIME = 'datetime'
TIMEOFDAY = ... |
35205 | import matplotlib.pyplot as plt
import tensorflow as tf
import numpy as np
import time
from datetime import timedelta
import os
# Importing a helper module for the functions of the Inception model.
import inception
import cifar10
from cifar10 import num_classes
from inception import transfer_values_cache
#Importing... |
35230 | from demo.components.server import server
from chips.api.api import *
def application(chip):
eth = Component("application.c")
eth(
chip,
inputs = {
"eth_in" : chip.inputs["input_eth_rx"],
"am_in" : chip.inputs["input_radio_am"],
"fm_in" : chip.inputs["input... |
35287 | import keras
import pandas as pd
import urllib2
from bs4 import BeautifulSoup
from pprint import pprint
from matplotlib import pyplot as plt
import sys
sys.path.append('/Users/BenJohnson/projects/what-is-this/wit/')
from wit import *
pd.set_option('display.max_rows', 50)
pd.set_option('display.max_columns', 500)
pd.... |
35307 | import config as cfg
import cv2
import numpy as np
from keras.models import load_model
from keras.preprocessing.image import img_to_array
from keras import backend as K
import tensorflow as tf
import keras
'''
esto es necesario para que no haya errores a la hora de exponer el servicio con flask
info --> https://github... |
35314 | from dps.hyper import run_experiment
from dps.utils import copy_update
from dps.tf.updater import DummyUpdater
from silot.run import basic_config, alg_configs, env_configs
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--max-digits', type=int, choices=[6, 12], required=True)
args, _ = parser.p... |
35358 | from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.by import By
from selenium import webdriver
import requests
def login():
driver = webdriver.Chrome()
driver.implicitly_wait(20)
driver.get("https://tixc... |
35377 | import numpy as np
import torch
import torch.nn as nn
from collections import OrderedDict
def tf2th(conv_weights):
"""Possibly convert HWIO to OIHW."""
if conv_weights.ndim == 4:
conv_weights = conv_weights.transpose([3, 2, 0, 1])
return torch.from_numpy(conv_weights)
def _rename_... |
35398 | from .watch_time import time_str
import fitlog
class Logger:
def __init__(self , fil_path = None):
self.log_fil = open(fil_path , "w" , encoding = "utf-8")
def nolog(self , cont = ""):
pass
def log_print(self , cont = ""):
self.log_fil.write(cont + "\n")
self.log_fil.flush()
print (cont)
fitlog.add_t... |
35421 | from generator.actions import Actions
import random
import string
import struct
import numpy as np
import math
import datetime as dt
import ctypes
def kaprica_mixin(self):
if hasattr(self, 'xlat_seed'):
return
def xlat_seed(seed):
def hash_string(seed):
H = 0x314abc86
f... |
35442 | from gamegym.game import Game, Situation
from gamegym.utils import get_rng
from gamegym.distribution import Explicit
from gamegym.value_learning.valuestore import LinearValueStore
import numpy as np
import pytest
from scipy.sparse import csr_matrix
def test_init():
LinearValueStore(shape=(3, 3))
LinearValueSt... |
35501 | import os
import reader
import json
# todo: get this logger from elsewhere
from celery.utils.log import get_task_logger
log = get_task_logger(__name__)
defaultFieldMappings = [
### SET
(['info','protocol'], 'getReplayProtocolVersion'),
(['info','bytes'], 'getReplayFileByteSize'),
(['info','gameloops'], '... |
35520 | from typing import Any
from starlette.datastructures import State
class DefaultState:
state = State()
def get(self,key:str, value: Any = None) -> Any:
if hasattr(self.state, key):
return getattr(self.state, key)
else:
if not value:
raise Exception('st... |
35566 | import os, sys, inspect, logging, time
lib_folder = os.path.join(os.path.split(inspect.getfile( inspect.currentframe() ))[0], '..')
lib_load = os.path.realpath(os.path.abspath(lib_folder))
if lib_load not in sys.path:
sys.path.insert(0, lib_load)
import capablerobot_usbhub
hub = capablerobot_usbhub.USBHub()
##... |
35585 | from django import template
register = template.Library()
@register.filter
def is_bbb_mod(room, user):
return room.is_moderator(user)
|
35600 | import os
import sys
import neuron
import json
from pprint import pprint
from neuron import h
import matplotlib.pyplot as plt
import numpy as np
import h5py
## Runs the 5 cell iclamp simulation but in NEURON for each individual cell
# $ python pure_nrn.py <gid>
neuron.load_mechanisms('../components/mechanisms')
h.loa... |
35609 | import init_file as variables
import cj_function_lib as cj
from datetime import datetime
fert_table = cj.extract_table_from_mdb(variables.QSWAT_MDB, "fert", variables.path + "\\fert.tmp~")
fert = ""
for fert_line in fert_table:
fert += cj.trailing_spaces(4, fert_line.split(",")[1], 0) + cj.string_trailing_spaces... |
35631 | import codecs
import collections
import io
import os
import re
import struct
from .instruction import Instruction
from .opcode import Opcodes
from .registers import Registers
from .section import Section
from .symbol import Symbol
def p32(v):
return struct.pack('<I', v)
def unescape_str_to_bytes(x):
return c... |
35647 | from decimal import Decimal
import simplejson as json
import requests
from .converter import RatesNotAvailableError, DecimalFloatMismatchError
class BtcConverter(object):
"""
Get bit coin rates and convertion
"""
def __init__(self, force_decimal=False):
self._force_decimal = force_decimal
... |
35670 | from django.utils.translation import ugettext_lazy as _
from mayan.apps.authentication.link_conditions import condition_user_is_authenticated
from mayan.apps.navigation.classes import Link, Separator, Text
from mayan.apps.navigation.utils import factory_condition_queryset_access
from .icons import (
icon_current_... |
35683 | import inspect
try:
from unittest import mock
except ImportError:
import mock
import pytest
from selenium.webdriver.common.by import By
from selenium.webdriver.remote.webdriver import WebDriver, WebElement
from selenium.common.exceptions import NoSuchElementException
from page_objects import PageObject, Pag... |
35739 | from metaflow import FlowSpec, step
class ForeachFlow(FlowSpec):
@step
def start(self):
self.creatures = ['bird', 'mouse', 'dog']
self.next(self.analyze_creatures, foreach='creatures')
@step
def analyze_creatures(self):
print("Analyzing", self.input)
self.creature ... |
35745 | from dataclasses import dataclass, field
from itertools import chain
from typing import Optional
from talon import Context, Module, actions, app, cron, ui
# XXX(nriley) actions are being returned out of order; that's a problem if we want to pop up a menu
mod = Module()
mod.list("notification_actions", desc="Notific... |
35753 | import os
import time
from dataclasses import dataclass, field
from enum import Enum
from typing import List, Optional, Union
import torch
from filelock import FileLock
from transformers import PreTrainedTokenizer, RobertaTokenizer, RobertaTokenizerFast, XLMRobertaTokenizer
from transformers.data.datasets import GlueDa... |
35771 | import os
import ipaddress
import numpy as np
import pandas as pd
import datetime
import boto3
import gzip
import json
from signal_processing import signalProcess
BUCKET_NAME = os.environ.get("BUCKET_NAME", None)
VPC_FLOW_LOGS_PATH = os.environ.get("VPC_FLOW_LOGS_PATH", None)
FINDINGS_PATH = os.environ.get("FINDINGS_... |
35772 | import argparse
import json
parser = argparse.ArgumentParser()
parser.add_argument("--text", type=str, help="path to original text file")
parser.add_argument("--train", type=str, help="path to original training data file")
parser.add_argument("--valid", type=str, help="path to original validation data file")
parser.ad... |
35806 | import re, logging
from django import forms
from django.forms import ModelForm
from django.utils.translation import ugettext as _
from django.contrib.localflavor.us.forms import USStateSelect,\
USPhoneNumberField
from models import Preference, ShippingWeight, ShippingPrice, ShippingItem, TaxState, DnsShop, EmailNo... |
35826 | import asyncio
import json
import os
from datetime import datetime, timedelta
import aiohttp
import tweepy
from dateutil.parser import parse
from fpl import FPL, utils
from pymongo import MongoClient
from constants import lineup_markers, twitter_usernames
dirname = os.path.dirname(os.path.realpath(__file__))
client =... |
35891 | from submission import Submission
class JulesSubmission(Submission):
def run(self, s):
# :param s: input in string format
# :return: solution flag
# your solution code goes here
def find_for_row(row):
for fi in range(len(row)):
for si in range(fi + 1, l... |
35895 | from gazette.spiders.base.fecam import FecamGazetteSpider
class ScChapecoSpider(FecamGazetteSpider):
name = "sc_chapeco"
FECAM_QUERY = "cod_entidade:71"
TERRITORY_ID = "4204202"
|
35926 | from collections import defaultdict
from ...account.models import Address, CustomerEvent, User
from ..core.dataloaders import DataLoader
class AddressByIdLoader(DataLoader):
context_key = "address_by_id"
def batch_load(self, keys):
address_map = Address.objects.in_bulk(keys)
return [address_... |
36002 | import os
from djangular import utils
from django.test import SimpleTestCase
class SiteAndPathUtilsTest(SimpleTestCase):
site_utils = utils.SiteAndPathUtils()
def test_djangular_root(self):
current_dir = os.path.dirname(os.path.abspath(__file__))
djangular_dir = os.path.dirname(current_dir)... |
36005 | from encoded.searches.mixins import CartAggsToFacetsMixin
from snosearch.responses import BasicQueryResponseWithFacets
from snosearch.responses import BasicMatrixResponseWithFacets
class CartQueryResponseWithFacets(CartAggsToFacetsMixin, BasicQueryResponseWithFacets):
'''
Like BasicQueryResponseWithFacets but... |
36023 | import teek
def on_click():
print("You clicked me!")
window = teek.Window()
button = teek.Button(window, "Click me", command=on_click)
button.pack()
window.on_delete_window.connect(teek.quit)
teek.run()
|
36039 | class Node:
def __init__(self, value):
self.value = value
self.next = None
# Have no idea how to do this
# import sys
# sys.path.insert(0, '../../data_structures')
# import node
def intersection(l1: Node, l2: Node) -> Node:
l1_end, len1 = get_tail(l1)
l2_end, len2 = get_tail(l2)
if l... |
36048 | import os
from .abstract_command import AbstractCommand
from ..services.state_utils import StateUtils
from ..services.state import StateHolder
from ..services.command_handler import CommandHandler
from ..services.console_logger import ColorPrint
class Start(AbstractCommand):
command = ["start", "up"]
args = ... |
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