id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
11464657 | from typing import Any, Callable, List, Tuple, Union
import numpy as np
import pandas as pd
import tensorflow as tf
import torch
from sklearn.model_selection import train_test_split
from carla.data.catalog import DataCatalog
from carla.data.causal_model.synthethic_data import ScmDataset
from carla.data.load_catalog i... |
11464695 | import idc
import idaapi
from idaapi import Choose2
import driverlib
import ctypes
import ioctl_decoder as ioctl_decoder
# yoinked from https://stackoverflow.com/a/25678113
OpenClipboard = ctypes.windll.user32.OpenClipboard
EmptyClipboard = ctypes.windll.user32.EmptyClipboard
GetClipboardData = ctypes.windll.user32.Ge... |
11464735 | class Shape:
'''
A class for shape
'''
def __init__(self):
'''
You won't believe the next five lines
'''
print(0)
shape = Shape()
|
11464750 | from __future__ import print_function
from kivy.properties import (
ObjectProperty, ListProperty, DictProperty, StringProperty)
from kivy.uix.boxlayout import BoxLayout
from .app_buttons import AppBlueButton
from kivy.logger import Logger
from kivy.lang import Builder
Builder.load_string('''
<ActivitieBox>:
o... |
11464778 | import pylab
# import seaborn as sns
from scipy.sparse import diags
from scipy.sparse.linalg import cg
MAX_VAL = 255.0
from scipy.sparse import csr_matrix
import numpy as np
from scipy.sparse.linalg import inv
RGB_TO_YUV = np.array([
[ 0.299, 0.587, 0.114],
[-0.168736, -0.331264, 0.5],
[ 0.5,... |
11464798 | from pkg_resources import get_distribution
__import__('pkg_resources').declare_namespace(__name__)
__version__ = get_distribution("telesign").version
__author__ = "TeleSign"
__copyright__ = "Copyright 2017, TeleSign Corp."
__credits__ = ["TeleSign"]
__license__ = "MIT"
__maintainer__ = "TeleSign Corp."
__email__ = "<... |
11464820 | class EmrClusterBuilder(object):
def __init__(self, emr_client, ec2_client):
super(EmrClusterBuilder, self).__init__()
self.emr = emr_client
self.ec2 = ec2_client # boto3.client("ec2", region_name=region_name)
def get_security_group_id(self, group_name, region_name):
response =... |
11464823 | import os
from .deploy_manifest import log
from . import exceptions as exc
class BlueGreen(object):
"""This class orchestrates a Blue-Green deployment in the style of the
Autopilot CF CLI plugin.
"""
def __init__(self,
space,
manifest,
verbose=True,
... |
11464830 | import logging
import pytest
from ocs_ci.framework.testlib import ManageTest, tier1
from ocs_ci.framework.pytest_customization.marks import (
skipif_external_mode,
skipif_ocs_version,
)
from ocs_ci.ocs.cluster import (
validate_compression,
validate_replica_data,
)
from ocs_ci.ocs.constants import CEPHB... |
11464832 | import io
import os
import re
import shutil
import sys
from pathlib import Path
from typing import Generator
from unittest import mock
import pytest
from _pytest._io import terminalwriter
from _pytest.monkeypatch import MonkeyPatch
# These tests were initially copied from py 1.8.1.
def test_terminal_width_COLUMNS(... |
11464890 | import os
import sys
import inspect
class FindFilePath:
def __new__(cls, name) -> str:
if name is None:
raise NameError("Please specify filename")
stack_t = inspect.stack()
ins = inspect.getframeinfo(stack_t[1][0])
this_file_dir = os.path.dirname(os.path.dirname(os.pat... |
11464993 | from veroviz._common import *
from veroviz._queryOpenWeather import owGetWeather
def privGetWeather(location, id, metricUnits, dataProvider, dataProviderArgs):
try:
dataProvider = dataProvider.lower()
except:
pass
if (weatherDataProviderDictionary[dataProvider] == 'openweather'):
weatherDF = owGetWeather(... |
11465016 | import matplotlib.pyplot as plt
from matplotlib.ticker import FuncFormatter, MaxNLocator
import numpy as np
import plotly.graph_objs as go
import seaborn as sns
import plotly.figure_factory as pff
DEFAULT_COLORSCALE = "Viridis"
def plot_distribution(ls, column, bins=None):
"""Plot the distribution of numerical c... |
11465089 | from __future__ import absolute_import, division
import torch
from torch import nn
import torch.nn.functional as F
def my_grid_sample(inputs, grid):
return F.grid_sample(inputs, grid, align_corners=True)
def interpolate2d(inputs, size, mode="bilinear"):
return F.interpolate(inputs, size, mode=mode, align_c... |
11465243 | import torch.nn as nn
PADDING_LAYERS = {
'zero': nn.ZeroPad2d,
'reflect': nn.ReflectionPad2d,
'replicate': nn.ReplicationPad2d
}
def build_padding_layer(cfg, *args, **kwargs):
"""Build padding layer.
Args:
cfg (None or dict): The padding layer config, which should contain:
- ... |
11465297 | from psana import DataSource
from psana.psexp.utils import DataSourceFromString
import argparse
import sys
def detnames():
# this argument parsing doesn't feel ideal. ideally user should
# be able to pass in the "python code" specifying the datasource
# on the command line (e.g. exp=xpptut15,run=[1,2,4,7] or
... |
11465309 | import matplotlib.pyplot as plt
import os
import numpy as np
SMALL_SIZE = 24
MEDIUM_SIZE = 24
BIGGER_SIZE = 24
plt.rc('font', size=SMALL_SIZE) # controls default text sizes
plt.rc('axes', titlesize=SMALL_SIZE) # fontsize of the axes title
plt.rc('axes', labelsize=MEDIUM_SIZE) # fontsize of the x and y... |
11465320 | from progress.bar import Bar
from config.test_config import BasicParam
import os
import cv2 as cv
import time
import torch
import numpy as np
from dataset.dataset import YorkDataset
from progress.bar import Bar
from utils.utils import load_model
from utils.reconstruct import save_pic_mat, save_image
device = torch.de... |
11465409 | from .pypi import PyPi, __red_end_user_data_statement__
def setup(bot):
bot.add_cog(PyPi(bot))
|
11465472 | import os.path
import numpy as np
from PIL import Image
from .cityscapes import remap_labels_to_train_ids
from .gta5 import GTA5 #, LABEL2TRAIN
from .data_loader import register_data_params, register_dataset_obj
@register_dataset_obj('cyclegta5')
class CycleGTA5(GTA5):
def collect_ids(self):
ids = GTA... |
11465520 | from django.test import TestCase
from .models import (
HouseholdBillTotal,
HouseholdServiceTotal,
FinancialYear,
BudgetPhase,
HouseholdService,
HouseholdClass,
)
from scorecard.models import Geography
class HouseholdsTestCase(TestCase):
def setUp(self):
FinancialYear.objects.bulk_c... |
11465529 | from django.test import TestCase, override_settings
from django.utils.translation import override
from translations.languages import _get_supported_language, \
_get_default_language, _get_active_language, \
_get_all_languages, _get_all_choices, \
_get_translation_languages, _get_translation_choices, \
... |
11465588 | from collections import namedtuple
from .nodes import *
import re
ConditionalBlock = namedtuple('ConditionalBlock', 'parent source output skip_to_end')
class ParamStr(str):
def __new__(cls, s, args, n):
self = super().__new__(cls, s)
self._args = args
self._arg_idx = n
return sel... |
11465590 | from surprise import Dataset
from surprise import Reader
from surprise import NormalPredictor
from surprise import BaselineOnly
from surprise import KNNBasic
from surprise import KNNWithMeans
from surprise import KNNBaseline
from surprise import KNNWithZScore
from surprise import SVD
from surprise import SVDpp
from sur... |
11465607 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from six.moves import xrange
import tensorflow as tf
from tensorflow.python.platform import flags
import logging, os, sys, pickle, argparse
sys.path.a... |
11465608 | from data_importers.management.commands import BaseXpressDemocracyClubCsvImporter
class Command(BaseXpressDemocracyClubCsvImporter):
council_id = "BOT"
addresses_name = (
"2021-04-16T11:13:32.139850/Boston Democracy_Club__06May2021 (2).tsv"
)
stations_name = (
"2021-04-16T11:13:32.1398... |
11465620 | from toee import *
#################################
# TELEPORT SHORTCUTS #
#################################
TELE_SHORT_TEMPLE_LEVEL_3 = 5078
def shopmap():
game.fade_and_teleport(0,0,0,5107,480,480)
return
def lgvignette():
game.fade_and_teleport(0,0,0,5096,480,480)
return
def lawfulgoodvignette():
lgvig... |
11465642 | import operator
import rutokenizer
import rupostagger
import rulemma
if __name__ == '__main__':
print('Loading dictionaries and models...')
lemmatizer = rulemma.Lemmatizer()
lemmatizer.load('../tmp/rulemma.dat')
tokenizer = rutokenizer.Tokenizer()
tokenizer.load()
tagger = rupostagger.RuPosT... |
11465643 | class CloudExternalFileProcessorMixin(object):
def get_input_path(self, in_file):
return in_file.instance.file.url |
11465647 | from setuptools import find_packages, setup
VERSION = {} # type: ignore
with open("trapper/version.py", "r") as version_file:
exec(version_file.read(), VERSION)
def get_requirements():
with open("requirements.txt") as f:
return f.read().splitlines()
extras_require = {
"dev": [
"black==... |
11465670 | import sys
sys.path.insert(0, '..')
import kalman_filter
import kf_simple3d
import numpy as np
import matplotlib.pyplot as plt
import pickle
import os.path
import pdb
np.set_printoptions(precision=4)
class Track:
def __init__(self, track_id, first_detection, kf_type):
# initiate kf
if kf_type == "2... |
11465681 | import numpy as np
from sklearn.decomposition import PCA
def test(X):
pca = PCA(n_components=2)
projected = pca.fit_transform(X)
print(f'n_observations: {pca.n_samples_}')
print(f'n_features: {pca.n_features_}')
print(f'n_components: {pca.n_components_}')
print(f'\nprojected:\n{projected}')
... |
11465690 | from django.test import TestCase
from django.utils import timezone
from . import schedules
from datetime import datetime
now = timezone.make_aware(
datetime(1983, 7, 1, 3, 41),
timezone.utc)
class ScheduleTest(TestCase):
def test_hourly(self):
sched = schedules.Hourly(20, 2, 4)
self.asse... |
11465719 | t_SH_StockMarketDataL2 = {
"nTime": "T_I32",
"nStatus": "T_I32",
"uPreClose": "T_U32",
"uOpen": "T_U32",
"uHigh": "T_U32",
"uLow": "T_U32",
"uMatch": "T_U32",
"uAskPrice": "T_U32",
"uAskVol": "T_U32",
"uBidPrice": "T_U32",
"uBidVol": "T_U32",
"uNumTrades": "T_U32",
"i... |
11465745 | aa = 0
a = 1
fim = int(input('Digite um termo: '))
for n in range (0, fim):
s = (aa + a)
print(s, end = ' → ')
aa = a
a = s
print()
s = 0
while s <= fim:
if s % 2 == 0:
print(s, end=' → ')
s = s + 1
#https://pt.stackoverflow.com/q/411542/101
|
11465757 | from .client import GCSClient
from .data import CollectionDocument, GuestCollectionDocument, MappedCollectionDocument
from .errors import GCSAPIError
from .response import IterableGCSResponse, UnpackingGCSResponse
__all__ = (
"GCSClient",
"CollectionDocument",
"GuestCollectionDocument",
"MappedCollecti... |
11465760 | import pytest
from BetweenHours import is_between_hours
TEST_INPUTS = [
('12:00:00', '02:00:00', '21:00:00', True, 'sanity 1'),
('12:00:00', '11:10:00', '12:50:00', True, 'sanity 3'),
('12:00:00', '12:00:00', '12:00:00', True, 'exact same date'),
('12:00:00', '12:00:00', '22:00:00', True, 'same as beg... |
11465773 | from rest_framework.throttling import AnonRateThrottle
from app.throttling import ConfigurableThrottlingMixin
class AuthAnonRateThrottle(ConfigurableThrottlingMixin, AnonRateThrottle):
"""Throttle for any authorization views."""
scope = 'anon-auth'
|
11465805 | from __future__ import absolute_import, division, print_function, with_statement
from tornado.concurrent import Future
from tornado import gen
from tornado import netutil
from tornado.stack_context import NullContext
from tornado.testing import AsyncTestCase, bind_unused_port, gen_test
from tornado.test.util import uni... |
11465826 | import json
from os.path import isdir
from os import mkdir
from pathlib import Path
from gitlab_api_client import GitlabApi
config_location = Path.home() / ".gitlab-client.json"
def get_gitlab_api_client(gitlab_instance) -> GitlabApi:
config = __get_gitlab_instance_config(gitlab_instance)
return GitlabApi(c... |
11465887 | import this
from flask import Flask
app = Flask(__name__)
rot13 = str.maketrans(
"ABCDEFGHIJKLMabcdefghijklmNOPQRSTUVWXYZnopqrstuvwxyz",
"NOPQRSTUVWXYZnopqrstuvwxyzABCDEFGHIJKLMabcdefghijklm"
)
def simple_html(body):
return f"""
<!DOCTYPE html>
<html lang="en">
<head>
<meta charse... |
11465892 | from envs.IsaacGym import *
from elegantrl.demo import *
"""
Humanoid
GPU 4
GPU 5 if_use_cri_target = True
"""
def demo_isaac_on_policy():
args = Arguments(if_on_policy=True) # hyper-parameters of on-policy is different from off-policy
args.agent = AgentPPO()
args.random_seed += 1943
... |
11465931 | import os
import sys
import torch
import shutil
import random
import numpy as np
from tensorboardX import SummaryWriter
from Datasets.dataset_shapenetpart import ShapeNetPartDataset
from Datasets.dataset_samplers import RandomSampler, Sampler
from Models.model_PN2 import PointNet2
from Models.model_mRes import mRes
f... |
11465978 | from __future__ import print_function
from __future__ import division
import math
import torch
import torch.nn as nn
from torch.nn import Parameter
from torchkit.head.localfc.common import calc_logits
class CosFace(nn.Module):
""" Implement of CosFace (https://arxiv.org/abs/1801.09414)
"""
def __init__(s... |
11466025 | import numpy as np
import gym
#*******************************************************************
# FIND CAVE TASK
#*******************************************************************
# custom action wrapper for complete GAIL agent for MineRL
class ActionShaping_FindCave(gym.ActionWrapper):
def __init__(self, e... |
11466048 | from __future__ import print_function
from stompy import harm_decomp
import numpy as np
def test_basic():
# A sample problem:
omegas = np.array([1.0,0.0])
# the constructed data:
amps = np.array([1,5.0])
phis = np.array([1,0])
t = np.linspace(0,10*np.pi,125)
h = amps[0]*np.cos(omegas[0]... |
11466072 | import FWCore.ParameterSet.Config as cms
from PhysicsTools.NanoAOD.common_cff import *
rhoTable = cms.EDProducer("GlobalVariablesTableProducer",
variables = cms.PSet(
fixedGridRhoFastjetAll = ExtVar( cms.InputTag("fixedGridRhoFastjetAll"), "double", doc = "rho from all PF Candidates, used e.g. for JECs" ),... |
11466096 | import os
import csv, json
from collections import defaultdict
from expertise.evaluators.mean_avg_precision import eval_map
from expertise.evaluators.hits_at_k import eval_hits_at_k
from expertise.dataset import Dataset
from expertise import utils
import ipdb
def setup(config):
assert os.path.exists(config.tpms_s... |
11466138 | from tests.analyzer.utils import UnusedTestCase
from unimport.statement import Import, ImportFrom
class AsImportTestCase(UnusedTestCase):
def test_as_import_all_unused_all_cases(self):
self.assertSourceAfterScanningEqualToExpected(
"""\
from x import y as z
import x
... |
11466160 | from datetime import timedelta
from pathlib import Path
import click
from overhave.base_settings import LoggingSettings
from overhave.cli.group import overhave
from overhave.transport import OverhaveS3Bucket, OverhaveS3ManagerSettings, S3Manager
from overhave.utils import get_current_time
@overhave.group(short_help... |
11466212 | import argparse, yaml, os, os.path
parser = argparse.ArgumentParser()
parser.add_argument("-i", "--input")
parser.add_argument("-o", "--output")
parser.add_argument("--tm2", "--tm", action="store_const", const="tm2", dest="action")
parser.add_argument("--tm2source", "--tmsource", action="store_const", const="tm2source... |
11466232 | import copy
import io
import itertools
import os
import shutil
import unittest
import tempfile
import pkg_resources
import pyhmmer
from pyhmmer.errors import EaselError, AlphabetMismatch
from pyhmmer.easel import Alphabet, SequenceFile
from pyhmmer.plan7 import HMM, HMMFile, Profile, Background
class TestProfile(uni... |
11466238 | from project import db
import datetime
from project.corsi.models import Corso
# Tabella di relazione 1 Corso : N Serate
class Serata(db.Model):
__tablename__ = "serata"
__table_args__ = (db.UniqueConstraint("id", "data", name="constraint_serata"),)
id = db.Column(db.Integer(), primary_key=True)
nom... |
11466248 | import shutil
from typing import Dict
from covid_shared import workflow
import covid_model_seiir_pipeline
from covid_model_seiir_pipeline.pipeline.parameter_fit.specification import FIT_JOBS, FitScenario
class BetaFitTaskTemplate(workflow.TaskTemplate):
tool = workflow.get_jobmon_tool(covid_model_seiir_pipeline... |
11466249 | execfile('ex-3.02.py')
B = (3, 1)
D = (4 * dtype.extent, 0)
newtype = dtype.Create_hindexed(B, D)
dtype.Free()
newtype.Free()
|
11466252 | import copy
import logging
import lib.const as C
import lib.visit as v
from .. import util
from ..meta import class_nonce, register_class, class_lookup
from ..meta.program import Program
from ..meta.clazz import Clazz
from ..meta.method import Method
from ..meta.field import Field
from ..meta.statement import Stateme... |
11466259 | import numpy as np
import properties
import z_order_utils
class BaseMetadata(properties.HasProperties):
name = properties.String("Name of the block model", default="")
description = properties.String("Description of the block model", default="")
# Other named metadata?
class BaseOrientation(properties.H... |
11466342 | import enum
class WeekDay(enum.Enum):
monday = 'MONDAY'
tuesday = 'TUESDAY'
wednesday = 'WEDNESDAY'
thursday = 'THURSDAY'
friday = 'FRIDAY'
saturday = 'SATURDAY'
sunday = 'SUNDAY'
|
11466392 | from django.apps import AppConfig
class FiberConfig(AppConfig):
name = 'fiber'
default_auto_field = 'django.db.models.AutoField'
|
11466423 | from dartcms.utils.loading import is_model_registered
from django.db.models.signals import post_save, pre_delete, pre_save
from .abstract_models import *
from .signals import *
__all__ = []
if not is_model_registered('shop', 'ProductCatalog'):
class ProductCatalog(AbstractProductCatalog):
pass
__all... |
11466430 | import pytest
import numpy as np
@pytest.fixture(autouse=True)
def reload_cmap():
import importlib
import terracotta.cmaps.get_cmaps
try:
yield
finally:
importlib.reload(terracotta.cmaps.get_cmaps)
def test_get_cmap():
from terracotta.cmaps.get_cmaps import get_cmap, AVAILABLE_C... |
11466462 | import datetime
import math
import random
import string
import bson
import bsonnumpy
import numpy as np
from test import client_context, millis, unittest, TestToNdarray, PY3
class TestSequenceFlat(TestToNdarray):
def test_incorrect_arguments(self):
# Expects iterator, dtype, count
needs_iter = r... |
11466500 | import json
from uuid import uuid4
from urllib.request import urlopen, Request
from urllib.error import HTTPError
class Yggdrasil(object):
ygg_version = 1
ygg_url = 'https://authserver.mojang.com'
def __init__(self, username='', password='', client_token='',
access_token=''):
self.username =... |
11466530 | import boto3
import time
stream_name = 'mystream'
#Creating a kinesis client
client = boto3.client('kinesis')
#Getting shard id by describing the stream
response = client.describe_stream(StreamName=stream_name)
shard_id = response['StreamDescription']['Shards'][1]['ShardId']
#getting the shard iterator (pointer) va... |
11466608 | import sys
import json
from subprocess import Popen, PIPE
from smac.configspace import Configuration
from smac.tae.execute_ta_run import StatusType, ExecuteTARun
__author__ = "<NAME>"
__copyright__ = "Copyright 2015, ML4AAD"
__license__ = "3-clause BSD"
__maintainer__ = "<NAME>"
__email__ = "<EMAIL>"
__version__ = "0... |
11466618 | from .args import Args
from .format.args_format import ArgsFormat
from .raw_args import RawArgs
class ArgsParser(object):
"""
Parses raw console arguments and returns the parsed arguments.
"""
def parse(
self, args, fmt, lenient=False
): # type: (RawArgs, ArgsFormat, bool) -> Args
... |
11466644 | import pytest
from plenum.common.util import randomString
from storage.optimistic_kv_store import OptimisticKVStore
@pytest.fixture()
def optimistic_store(parametrised_storage) -> OptimisticKVStore:
store = OptimisticKVStore(parametrised_storage)
return store
def gen_data(num):
return {randomString(32)... |
11466646 | import pexpect
import sys
def run(name,opts,res):
child = pexpect.spawn('./{}'.format(name))
child.logfile = sys.stdout
try:
child.expect('>')
child.sendline('app.async(0)')
child.expect(r'< trans.send\(1,1\)')
child.expect('>')
child.sendline('trans.recv(1,1)')
... |
11466663 | from collections import Counter
from collections import ChainMap
from multiprocessing import Pool
import itertools
def chunks(l, n):
for i in range(0, len(l), n):
yield l[i : i + n]
def multiprocessing(strings, function, cores = 16, list_mode = True):
df_split = chunks(strings, len(strings) //... |
11466669 | import numpy as np
import pandas as pd
import pvl
import sys
import functools
import json
from os import path
from plio.io.io_json import read_json
from plio.utils._tes2numpy import tes_dtype_map
from plio.utils._tes2numpy import tes_columns
from plio.utils._tes2numpy import tes_scaling_factors
class Tes(object):
... |
11466675 | import sys
# sys.argv.append("--dynet-viz") #the package is broken
import dynet_config
# Declare GPU as the default device type
# dynet_config.set_gpu()
# Set some parameters manualy
from dynetcon import Deserializer
dynet_config.set(mem=4, random_seed=9)
# Initialize dynet import using above configuration in the ... |
11466697 | import re
from typing import Optional
from openvpn_api.models import VPNModelBase
from openvpn_api.util import errors
class ServerStats(VPNModelBase):
"""OpenVPN server stats model."""
def __init__(self, client_count: int = None, bytes_in: int = None, bytes_out: int = None,) -> None:
# Number of con... |
11466703 | from genty import genty, genty_dataset
from os.path import expanduser, join
from app.common.build_artifact import BuildArtifact
from app.util.conf.configuration import Configuration
from test.framework.base_unit_test_case import BaseUnitTestCase
@genty
class TestBuildArtifact(BaseUnitTestCase):
def setUp(self):
... |
11466707 | from typing import Union
from typing import List
from typing import Tuple
from typing import Optional
from typing import Dict
from typing import Any
import copy
import random
import itertools
from loguru import logger
from rdkit import Chem
from rdkit.Chem import rdmolops
from rdkit.Chem.MolStandardize import rdMolS... |
11466713 | import os
def rid(i,base64):
os.makedirs('pic',exist_ok=True)
with open(os.path.join('pic',i+'.txt'),'w') as f:
f.write(base64)
|
11466759 | import datetime
from django.utils.timezone import utc
import factory
from factory import fuzzy
from product_details import product_details
from pytz import common_timezones
from remo.events.models import (Attendance, Event, EventComment,
EventMetric, EventMetricOutcome)
from remo.pro... |
11466765 | import eel
from file_handler import getFile, read_data
from json import load
from os.path import join
from program import start, loadEditor, cleanup, loadOptions, saveEditor
from generator import gen_img
eel.init("UI")
@eel.expose
def getTemplate():
return getFile("template")
@eel.expose
def getCSV():
return getFi... |
11466788 | from app.main.model.database import BlacklistToken
from sanic.log import logger
from ..util.response import *
async def save_token(token):
blacklist_token = BlacklistToken(token=token)
try:
# insert the token
await blacklist_token.commit()
return response_message(SUCCESS)
except Ex... |
11466811 | import multiprocessing
import math
import cv2 as cv
import keras.backend as K
import numpy as np
from tensorflow.python.client import device_lib
from config import epsilon, epsilon_sqr
from config import img_cols
from config import img_rows
from config import unknown_code
# overall loss: weighted summation of the tw... |
11466878 | from .ExamplePage import ExamplePage
class OtherFileTypes(ExamplePage):
def writeContent(self):
self.writeln('<h4>Test for other file types:</h4>')
self.writeLink('test.text')
self.writeLink('test.html')
def writeLink(self, link):
self.writeln(f'<p><a href="Tests/{link}">{lin... |
11466936 | import random
import torch
import numpy as np
PAD, UNK, BOS, EOS = '<pad>', '<unk>', '<bos>', '<eos>'
BOC, EOC = '<boc>', '<eoc>'
LS, RS, SP = '<s>', '</s>', ' '
CS = ['<c-1>'] + ['<c' + str(i) + '>' for i in range(32)] # content
SS = ['<s-1>'] + ['<s' + str(i) + '>' for i in range(512)] # segment
PS = ['<p-1>'] + ['<... |
11467009 | from pelican import readers
from pelican.readers import PelicanHTMLTranslator
from pelican import signals
from docutils import nodes
LINK_CHAR = "*"
def init_headerid(sender):
global LINK_CHAR
char = sender.settings.get("HEADERID_LINK_CHAR")
if char:
LINK_CHAR = char
def register():
signals... |
11467014 | from PyQt5 import QtCore, QtWidgets, QtGui
from shapely.geometry import Point as ShapelyPoint
from shapely.geometry.polygon import Polygon as ShapelyPolygon
from Item import Item
from Tikzifyables.DashPatternable import DashPatternable
from Tikzifyables.Colourable.LineColourable import LineColourable
from Tikzifyables... |
11467031 | from rest_framework import status
from usaspending_api.download.lookups import CFO_CGACS
base_query = "/api/v2/references/filter_tree/tas/"
common_query = base_query + "?depth=0"
# Can the endpoint successfully create a search tree node?
def test_one_agency(client, basic_agency):
resp = _call_and_expect_200(cli... |
11467032 | import unicodedata
import jsonlines
import re
from urllib.parse import unquote
import regex
import numpy as np
import scipy.sparse as sp
from sklearn.utils import murmurhash3_32
def normalize(text):
"""Resolve different type of unicode encodings / capitarization in HotpotQA data."""
text = unicodedata.normaliz... |
11467048 | from typing import Optional, Tuple
from .endpoint_type import EndpointType
SHOULD_USE_MAP = {
"globus collection delete": [
("globus endpoint delete", EndpointType.traditional_endpoints()),
],
"globus endpoint delete": [
("globus collection delete", EndpointType.collections()),
],
... |
11467057 | from docusign_click import AccountsApi
from flask import request, session
from ...utils import create_click_api_client
class Eg005Controller:
@staticmethod
def get_args():
"""Get required session and request arguments"""
return {
"account_id": session.get("ds_account_id"), # Repr... |
11467084 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import collections
import io
import os
from observations.util import maybe_download_and_extract
def ptb(path):
"""Load the Penn Treebank data set [@marcus1993building].
The dataset is preprocessed and ha... |
11467091 | import itertools
import json
import time
import ray
from typing import Callable
import numpy as np
from mesh_transformer.train_actor import NetworkRunner
from google.cloud import storage
from smart_open import open
from func_timeout import func_set_timeout
class TPUCluster:
@func_set_timeout(1200)
def __in... |
11467176 | from DataReader import *
class Png(DataReader):
"""
Manages the fetching of single peices of data on the cpu onto the gpu
"""
def __init__(self,dataset_root,data_list_path,channels=3,dtype=tf.uint8):
with tf.variable_scope(None,default_name="image_data_reader"):
DataReader.__init__(self,dataset_root,data_list... |
11467181 | import os
import tkinter
import tkinter.ttk
import warnings
from concurrent.futures import ThreadPoolExecutor
from tkinter import scrolledtext
import matplotlib.colors as mcolors
from pynput.keyboard import Listener
import constants
import helper
import keyboard_helper
from forza import Forza
from logger import Logge... |
11467192 | import unittest2
from hashlib import sha1
from pykafka.partitioners import GroupHashingPartitioner
class TestGroupHashingPartitioner(unittest2.TestCase):
def test_valid_inputs_success(self):
# Test data; 1st element is group size, 2nd is total partition count, 3rd is the key
key = 'foo'.encode('... |
11467201 | import matplotlib.pyplot as plt
import pyDNase
from pyDNase.footprinting import wellington
#Load test data
reads = pyDNase.BAMHandler("example.bam")
regions = pyDNase.GenomicIntervalSet("example.bed")
#Plot cuts data
plt.plot(reads[regions[0]]["+"],c="red")
plt.plot(-reads[regions[0]]["-"],c="blue")
#Footprint and p... |
11467209 | def calMean(array):
mean = 0
for i in range(len(array)):
mean = mean + array[i]
mean = mean/float(len(array))
return mean
if __name__ == "__main__":
array = [1,2,3,4]
mean = calMean(array)
print (mean)
|
11467283 | from xbrr.base.reader.base_element_schema import BaseElementSchema
class ElementSchema(BaseElementSchema):
def __init__(self,
name="", reference="", label="", alias="",
abstract="", data_type="",
period_type="", balance=""):
super().__init__()
se... |
11467312 | import numpy as np
import sys,os,glob
######################################## INPUT ##########################################
root = '/simons/scratch/fvillaescusa/pdf_information/PDF/matter/'
cosmos = ['Om_p/', 'Ob_p/', 'Ob2_p/', 'h_p/', 'ns_p/', 's8_p/',
'Om_m/', 'Ob_m/', 'Ob2_m/', 'h_m/', '... |
11467347 | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
import numpy
import os
#python setup.py build_ext --inplace
ext_modules = [
Extension("treecode_bem",
sources = ['common.c',
'bem_pbc.c',
... |
11467379 | import json
from urllib.parse import urlencode, parse_qsl
def pref_custom_id(custom_id: str, data: dict):
"""
Convert dict to string.
Args:
custom_id (str): Name of custom_id.
data (dict): Data you want to convert.
Raises:
ValueError: Data can not contain '__'.
Returns:
... |
11467410 | from __future__ import absolute_import
import logging
from abc import ABCMeta, abstractmethod
from collections import Iterable
import six
from frontera.core import models
from frontera.core.components import Backend, DistributedBackend, Middleware, CanonicalSolver
from frontera.exceptions import NotConfigured
from f... |
11467413 | from random import expovariate
from statistics import mean
from math import inf as Infinity
# Parameters
lamda = 1.3 # Arrival rate (Lambda)
mu = 2.0 # Departure rate (Mu)
Num_Pkts = 100000 # Number of Packets to be simulated
count = 0 # Count number of simulated packets
clock = 0
N = 0 ... |
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