id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
158670 | from sanic.testing import SanicTestClient
async def test_sanic_default_api(sanic_tester: SanicTestClient):
response = await sanic_tester.get("/")
assert response.status == 200
|
158687 | import bleach
from bleach_allowlist import markdown_tags, markdown_attrs
from markdown import markdown
def bleached_markdown(text, **kwargs):
"""Try to avoid XSS by bleaching markdown output"""
markdown_rendered = markdown(text, **kwargs)
bleached = bleach.clean(markdown_rendered, markdown_tags, markdown_... |
158705 | import unittest
import torch
from tqdm import tqdm
from data.utils import get_db_container, get_db_info
from utils import get_dataloader, get_train_val_test_datasets
dataset_names = (
'acquirevaluedshopperschallenge',
'homecreditdefaultrisk',
'kddcup2014',
)
scalar_encoders = (
'ScalarRobustScalerEn... |
158735 | import torch
import math
import numpy as np
from matplotlib import path
import pdb
class BoxSampler(object):
def __init__(self,
RoI_number=1,
IoU_bin_bases=torch.tensor([0.73,0.12,0.15,0.05,0], dtype=torch.float),
IoU_weights=torch.tensor([0.5,0.6,0.7,0.8,0.9], ... |
158748 | CENTS_PER_DOLLAR = 100
class Order(object):
def __init__(self, id, owner, ticker, type, price, qty):
if int(id) < 0:
raise ValueError()
if round(float(price), 2) <= 0:
raise ValueError()
if int(qty) <= 0:
raise ValueError()
self.__id = id
... |
158763 | from os import path
from tinydb import Query, TinyDB
from nazurin.config import DATA_DIR
class Local(object):
"""Local database driver using TinyDB."""
def collection(self, key):
self.db = TinyDB(path.join(DATA_DIR, key + '.json'))
return self
def document(self, key):
self._key =... |
158772 | from lessweb import Application
from lessweb.plugin import database
from controller import list_reply
database.init(uri='mysql+mysqlconnector://root:pwd@localhost/db')
app = Application()
app.add_get_mapping('/reply/list', list_reply)
if __name__ == '__main__':
app.run() |
158775 | from flask import Flask
from flask_cors import CORS
from flask import request
from flask import json
from db import write_event
# Initiating the flask app
app = Flask(__name__)
# CORS wrapper to allow cross domain requests
CORS(app)
@app.route('/add_event', methods=['POST'])
def add_event():
"""
Recieve th... |
158790 | import demistomock as demisto
import jwt
from Pcysys import Client, pentera_run_template_command, pentera_get_task_run_status_command, \
pentera_get_task_run_full_action_report_command, pentera_authentication
MOCK_PENTERA_FULL_ACTION_REPORT = 'penterascan-5e4530961deb8eda82b08730.csv'
MOCK_CSV = open('TestData/m... |
158866 | import similarity
from similarity.normalized_levenshtein import NormalizedLevenshtein
from similarity.jarowinkler import JaroWinkler
from similarity.metric_lcs import MetricLCS
from similarity.qgram import QGram
from similarity.jaccard import Jaccard
from similarity.cosine import Cosine
from fuzzywuzzy import fuzz
from... |
158893 | import tensorflow as tf
def kl_divergence_unit_gaussian(mu, log_sigma_sq, mean_batch=True, name='kl_divergence_unit_gaussian'):
# KL divergence between a multivariate Gaussian distribution with diagonal covariance and an
# isotropic Gaussian distribution
with tf.name_scope(name):
latent_loss = -0.... |
158903 | import fbuild.builders.ocaml.ocamlfind
from fbuild.path import Path
def build(ctx):
ocaml = fbuild.builders.ocaml.ocamlfind.Ocaml(ctx,
packages=['unix'])
libb = ocaml.ocamlc.build_lib('libb', Path.glob('b*.ml{,i}'),
packages=['num'])
liba = ocaml.ocamlc.build_lib('liba', Path.glob('a*.ml{,... |
158913 | import re
import numpy as np
from numpy.core.einsumfunc import _parse_einsum_input
from paderbox.array.segment import segment_axis
__all__ = [
'split_complex_features',
'merge_complex_features',
'tbf_to_tbchw',
'morph',
]
def split_complex_features(X):
""" Split a complex valued input array int... |
158934 | import os
import tkinter as tk
import tkinter.ttk as ttk
import pygubu
PROJECT_PATH = os.path.abspath(os.path.dirname(__file__))
PROJECT_UI = os.path.join(PROJECT_PATH, "newproject")
class NewprojectApp:
def __init__(self, master=None):
# build ui
self.frame_1 = ttk.Frame(master)
self.butt... |
159081 | from __future__ import division
import numpy as np
import utils
import pdb
data = utils.load_dataset("credittest")
Xvalid, yvalid = data['X'], data['y']
def kappa(ww, delta):
ww = np.array(ww)
yhat = np.sign(np.dot(Xvalid, ww))
ww2 = np.array(ww + delta)
yhat2 = np.sign(np.dot(Xvalid, ww2))
... |
159125 | from Utils.Data.DatasetUtils import is_test_or_val_set, get_train_set_id_from_test_or_val_set
from Utils.Data.Dictionary.MappingDictionary import *
from Utils.Data.Features.Generated.GeneratedFeature import GeneratedFeaturePickle, GeneratedFeatureOnlyPickle
from Utils.Data.Features.MappedFeatures import MappedFeatureTw... |
159128 | from python.enclave_interfaces import GlobalTensor as gt
from python.timer_utils import NamedTimerInstance
from python.torch_utils import compare_expected_actual
from python.tensor_loader import TensorLoader
import torch
class SecretLayerBase(TensorLoader):
PrevLayer = None
NextLayer = None
PlainForwardRe... |
159275 | import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
class FaceMeshBlock(nn.Module):
"""This is the main building block for architecture
which is just residual block with one dw-conv and max-pool/channel pad
in the second branch if input channels doesn't match output chann... |
159301 | import os
import json
import argparse
from tensorflow.keras.utils import get_file
from sklearn.metrics.pairwise import cosine_similarity as measure
from paz.backend.camera import VideoPlayer, Camera
from scenes import DictionaryView
from model import AutoEncoder
from pipelines import ImplicitRotationPredictor
pars... |
159307 | import sys
import os
UTILS_DIR = os.path.join(os.path.abspath(os.path.dirname(__file__)), '..', 'utils')
sys.path.insert(1, UTILS_DIR)
from training import train, test
if __name__ == '__main__':
BREAK_EARLY = False
BATCH_SIZE = 500
print("For this one, I just want to try out a different KL or two. Becau... |
159318 | import pandas as pd
import pickle
import re
import matplotlib.pyplot as plt
import collections
from pprint import pprint
from daisylu_vectors import *
#
# merged here: from daisylu_new_dryrun import *
from daisylu_config import *
from daisylu_system import *
from sentences import *
import networkx as nx
import argp... |
159328 | import re
def sort_urls(url_list,reverse=True):
return sorted(url_list, key=lambda k: k['bandwidth'], reverse=reverse)
def name_checker(name):
name = name.replace("'", "")
name = re.findall(r"([\w\d-]+)", name)
return ' '.join([x for x in name])
|
159352 | from amaranth.vendor.lattice_ice40 import *
from amaranth.vendor.lattice_ice40 import __all__
import warnings
warnings.warn("instead of nmigen.vendor.lattice_ice40, use amaranth.vendor.lattice_ice40",
DeprecationWarning, stacklevel=2)
|
159359 | from __future__ import annotations
manylinux1_compatible = False
manylinux2010_compatible = False
manylinux2014_compatible = False
def manylinux_compatible(*_, **__): # PEP 600
return False
|
159388 | from boa_test.tests.boa_test import BoaFixtureTest
from boa.compiler import Compiler
from neo.Core.TX.Transaction import Transaction
from neo.Prompt.Commands.BuildNRun import TestBuild
class TestContract(BoaFixtureTest):
def test_Account(self):
output = Compiler.instance().load('%s/boa_test/example/bloc... |
159480 | import matplotlib
matplotlib.use('Agg') #display backend
import matplotlib.pyplot as plt
import numpy as np
import os
from scipy.spatial import KDTree
import scipy.stats as st
from scipy.optimize import curve_fit as cu
from astropy.io import fits
import astropy.cosmology as co
from legacyanalysis.pathnames import get_... |
159527 | import re
from typing import Any
from pytest import mark, warns
from omegaconf import OmegaConf
def test_legacy_env_is_cached(monkeypatch: Any) -> None:
monkeypatch.setenv("FOOBAR", "1234")
c = OmegaConf.create({"foobar": "${env:FOOBAR}"})
with warns(UserWarning):
before = c.foobar
monke... |
159559 | import numpy as np
import matplotlib.pyplot as plt
from sklearn import svm, datasets
# import some data to play with
iris = datasets.load_iris()
X = iris.data[:, :2] # we only take the first two features. We could
y = iris.target
C = 1.0 # SVM regularization parameter
svc = svm.SVC(kernel='linear', C=1,gamma=0).fit(X,... |
159580 | import random
import types
from .const import *
from .genetic import encoder
from .formatter import *
from .utils import longest_common_subseqence as lcs
__all__ = ['transform_column']
regex_table = {
INDEX_TABLE(0x00) : '\\d',
INDEX_TABLE(0x01) : '[A-Z]',
INDEX_TABLE(0x02) : '[a-z]',
INDEX_TABLE(0x03... |
159587 | import datetime
import json
import types
from uuid import UUID
import lazy_object_proxy
from future.utils import iteritems
from simpleflow.futures import Future
def serialize_complex_object(obj):
if isinstance(
obj, bytes
): # Python 3 only (serialize_complex_object not called here in Python 2)
... |
159596 | from dependency_injector.wiring import Provide, inject
from fastapi.params import Depends
from server.container import AppContainer
from server.utils import make_router
from tarkov.profile.dependencies import with_profile
from tarkov.insurance.interfaces import IInsuranceService
from tarkov.models import TarkovSuccess... |
159603 | from jwt.compat import constant_time_compare
from jwt.utils import force_bytes
class TestCompat:
def test_constant_time_compare_returns_true_if_same(self):
assert constant_time_compare(
force_bytes('abc'), force_bytes('abc')
)
def test_constant_time_compare_returns_false_if_diff_l... |
159615 | import socket
import sys
import os
from control_flow_constants import *
print("HELLO")
from timeit import default_timer as timer
start = timer()
sock = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
server_address = (CHEETAH_MASTER_IP, CHEETAH_MASTER_PORT)
sock.bind(server_address)
for i in range(CHEETAH_WORKER... |
159654 | import os
import django
BASE_PATH = os.path.dirname(__file__)
if django.VERSION[:2] >= (1, 3):
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': ':memory:',
}
}
else:
DATABASE_ENGINE = 'sqlite3'
DATABASE_NAME = ':memory:'
SITE_ID = 1
... |
159673 | import itertools
import requests
from geosolver import settings
import networkx as nx
__author__ = 'minjoon'
class SyntaxParse(object):
def __init__(self, words, directed, undirected, rank, score):
self.words = words
self.directed = directed
self.undirected = undirected
self.rank =... |
159712 | import scipy
import matplotlib.pyplot as plt
filename = 'cyclic_test_data.txt'
data = scipy.loadtxt(filename,delimiter=',')
t = data[:,0]
v = data[:,1]
figsize = 12, 8
xlim = t.min(), t.max()
ylim = -0.2, 1.2
linewidth = 2
fig = plt.figure(1,figsize=figsize)
vpos_arrow_low = -0.15
# Quiet time fill
plt.fill([0.0... |
159713 | import numpy as np
import torch.nn as nn
import torch
import math
import time
from visualDet3D.networks.backbones import resnet
class YoloMono3DCore(nn.Module):
"""Some Information about YoloMono3DCore"""
def __init__(self, backbone_arguments=dict()):
super(YoloMono3DCore, self).__init__()
sel... |
159749 | tutor = False
def pancakesort(array):
if len(array) <= 1:
return array
if tutor:
print()
for size in range(len(array), 1, -1):
maxindex = max(range(size), key=lamdba i: array[i])
if maxindex+1 != size:
if maxindex != 0:
if tutor:
... |
159759 | import sys,os
import torch
import torch.nn as nn
import config
import numpy as np
from .smpl import SMPL
sys.path.append(os.path.abspath(__file__).replace('models/smpl_regressor.py',''))
from config import args
class SMPLR(nn.Module):
def __init__(self, use_gender=False):
super(SMPLR, self).__init__()
... |
159807 | import torch
import torch.nn as nn
class Actor(nn.Module):
def __init__(self, state_size, action_size, args):
super(Actor, self).__init__()
self.fc1 = nn.Linear(state_size, args.hidden_size)
self.fc2 = nn.Linear(args.hidden_size, args.hidden_size)
self.fc3 = nn.Linear(args.hidden_si... |
159860 | import numpy as np
import cv2
import operator
import numpy as np
from matplotlib import pyplot as plt
def plot_many_images(images, titles, rows=1, columns=2):
"""Plots each image in a given list as a grid structure. using Matplotlib."""
for i, image in enumerate(images):
plt.subplot(rows, columns, i+1)
plt.imsh... |
159891 | class ServiceTypes():
MachineLearning = "ml"
Vision = "vision"
ChatBot = "bot"
Speech = "speech"
LangIntent = "intent"
LangEntity = "entity"
|
159898 | import os
import glob
import subprocess
import yaml
subfolder = os.listdir("models")[0]
folder = os.path.join("models", subfolder)
files = glob.glob("%s/[0-9]*.ckpt" % folder)
ids = sorted([int(f[len(folder)+1:-5]) for f in files])
config_path = glob.glob("*.yaml")[0]
config = yaml.safe_load(open(config_path, "r", en... |
159899 | from gurobipy import Model, GRB, quicksum
from itertools import product
from networkx import non_edges
def create_model(G, clique_size):
r""" Create an ILP for the clique packing problem
:param G: an :py:class:`~graphilp.imports.ilpgraph.ILPGraph`
:param clique_size: size of the clique to be packed
... |
159905 | from edi_835_parser.elements import Element
# https://ushik.ahrq.gov/dr.ui.drValueDomain_View?system=mdr&ValueDomainID=4933000&CallingRoutine=$CallingRoutine$&OrganizationID=3&RecordOffset=11&Referer=ValueDomain
identification_code_qualifiers = {
'MI': 'member identification number',
'C': "insured's changed unique i... |
159923 | import unittest
from mock import Mock
from mock import patch
import subprocess
import logging
from twilio.rest import TwilioRestClient
from twilio.exceptions import TwilioException
from .context import configure
class ConfigureTest(unittest.TestCase):
def setUp(self):
self.configure = configure.Configur... |
159942 | from collections import OrderedDict
from django.db.models import Count, Case, When, IntegerField, Sum
from onadata.apps.fieldsight.models import Site
from onadata.apps.fsforms.models import FInstance, FieldSightXF
class BarGenerator(object):
def __init__(self, sites):
self.data = OrderedDict()
sel... |
159948 | full_dataset = [
{'name': 'Peach', 'items': ['green shell', 'banana', 'green shell',], 'finish': 3},
{'name': 'Peach', 'items': ['green shell', 'banana', 'green shell',], 'finish': 1},
{'name': 'Bowser', 'items': ['green shell',], 'finish': 1},
{'name': None, 'items': ['green shell',], 'finish': 2},
... |
159988 | import numpy as np
import tensorflow as tf
from tqdm import tqdm
from debias.squad_eval.squad_v1_official_evaluation import normalize_answer, f1_score
from debias.utils.ops import get_best_span
def eval_squad(predicted_ans, actual_answers, use_tqdm=False):
"""
:param predicted_ans: List of strings,
:param actu... |
160037 | import os
def data_info(type='train'):
dataset_directory = '../../../EgoGesture Dataset/'
folder_names = ['SingleOne', 'SingleTwo', 'SingleThree', 'SingleFour', 'SingleFive', 'SingleSix', 'SingleSeven',
'SingleEight']
if type is 'train':
nTrain = 0
for folder in folder... |
160068 | from guizero import App, Text
a = App()
a.font = "courier new"
t1 = Text(a)
t1.value = "{}, {}, {}".format(t1.font, t1.text_size, t1.text_color)
t2 = Text(a, font="arial")
t2.value = "{}, {}, {}".format(t2.font, t2.text_size, t2.text_color)
t3 = Text(a, color="red", size=8, font="verdana")
t3.value = "{}, {}, {}".f... |
160138 | from typing import Dict
from ray.rllib.agents.callbacks import DefaultCallbacks
from ray.rllib.env import BaseEnv
from ray.rllib.evaluation import MultiAgentEpisode, RolloutWorker
from ray.rllib.policy import Policy
from ray.rllib.utils.typing import PolicyID
class CustomCallbacks(DefaultCallbacks):
def __in... |
160161 | import pytest
from api.base.settings.defaults import API_BASE
from osf_tests.factories import (
AuthUserFactory,
RegionFactory,
InstitutionFactory
)
@pytest.mark.django_db
class TestRegionList:
@pytest.fixture()
def region(self):
return RegionFactory(name='Frankfort', _id='eu-central-1')
... |
160172 | import os, time
cpp_directories = ['../cpp/state-engine/', '../cpp/' '../cpp/interpolation-engine/']
cpp_files = [['SkyState.cpp',\
'autoexposure/LightingAnalyzer.cpp',\
'world_state/AstroTime.cpp',\
'world_state/Location.cpp',\
'astro_bodies/SkyManager.cpp',\
'astro_bodies/AstronomicalBody.cpp',\
'astro_bodies/... |
160174 | import typing_extensions, typing
from dispike.creating.models import permissions
class PermissionGenerator(object):
"""A helper that helps you create proper permissions for a slash command."""
def __init__(
self,
restrict_to_role: bool = False,
restrict_to_user: bool = False,
... |
160176 | from server.models import PluginScriptRow
import sal.plugin
class ARDInfo(sal.plugin.DetailPlugin):
description = "Apple Remote Desktop's Computer Information Fields"
supported_os_families = [sal.plugin.OSFamilies.darwin]
def get_context(self, machine, **kwargs):
context = self.super_get_conte... |
160181 | import wx
if __name__ == '__main__':
from tests.testapp import testapp
from gui.uberwidgets.umenu import UMenuBar, UMenu
from gui import skin
app = a = testapp(skinname = 'jeffrey')
wx.InitAllImageHandlers()
wx.UpdateUIEvent.SetMode(wx.UPDATE_UI_PROCESS_SPECIFIED)
f = wx.Frame(None, -1, '... |
160190 | from __future__ import unicode_literals
from django import forms
from django.db.models import Q
from django.utils.translation import gettext_lazy as _
from symposion.proposals.models import SupportingDocument
# @@@ generic proposal form
class AddSpeakerForm(forms.Form):
email = forms.EmailField(
label... |
160236 | SOC_IRAM_LOW = 0x40020000
SOC_IRAM_HIGH = 0x40070000
SOC_DRAM_LOW = 0x3ffb0000
SOC_DRAM_HIGH = 0x40000000
SOC_RTC_DRAM_LOW = 0x3ff9e000
SOC_RTC_DRAM_HIGH = 0x3ffa0000
SOC_RTC_DATA_LOW = 0x50000000
SOC_RTC_DATA_HIGH = 0x50002000
|
160243 | import datetime
import os
import copy
import json
import numpy as np
from pytz import timezone
from gamified_squad import GamifiedSquad
from agent import CustomAgent
import generic
import evaluate
SAVE_CHECKPOINT = 100000
def train():
time_1 = datetime.datetime.now()
config = generic.load_config()
env =... |
160327 | from .concept_extractor.extractor import TextblobTfIdfExtractStrategy
from .models import Article, GraphArticle
import logging
logger = logging.getLogger()
logger.setLevel(logging.INFO)
logger.addHandler(logging.StreamHandler())
class ConceptRunner:
_tfidf_extractor = None
@classmethod
def _get_tfidf_... |
160328 | from .object import Object
from .vuex_instance import VuexInstance
class VueInstance(Object):
@staticmethod
def __can_wrap__(obj):
return hasattr(obj, "_isVue") and obj._isVue
@property
def store(self):
store = self.__getattr__("store")
return VuexInstance(
state=s... |
160343 | from ..service.autodiscover import Autodiscover, Authentication
class GetUserSettings(Autodiscover):
"""GetUserSettings EWS Autodiscover endpoint
retrieves the authenticated or provided users settings
"""
RESULTS_KEY = 'UserSettings'
def __init__(self, user=None):
"""Retrieves the user s... |
160357 | import uuid
class Node:
def toRow(self, headers):
row = []
for field in headers: row.append(str(getattr(self, field)))
return '|'.join(row)
|
160364 | import sys
sys.path.insert(0, '../../../src_python')
import nmpccodegen as nmpc
import nmpccodegen.tools as tools
import nmpccodegen.models as models
import nmpccodegen.controller as controller
import nmpccodegen.controller.obstacles as obstacles
import nmpccodegen.Cfunctions as cfunctions
import nmpccodegen.example_mo... |
160387 | from vectorhub.bi_encoders.qa.tfhub import LAReQA2Vec
from ....test_utils import assert_encoder_works
def test_lare_qa_works():
"""
Testing for LAReQA works
"""
encoder = LAReQA2Vec()
assert_encoder_works(encoder, data_type='text', model_type='bi_encoder')
|
160449 | from menpo.base import Vectorizable
from menpo.landmark import Landmarkable
from menpo.transform.base import Transformable
from menpo.visualize import LandmarkableViewable, Viewable
class Shape(Vectorizable, Transformable, Landmarkable, LandmarkableViewable, Viewable):
"""
Abstract representation of shape. Sh... |
160459 | from math import *
import numpy as np
from NodeGeneratorBase import *
from Spheral import (Vector1d, Tensor1d, SymTensor1d,
Vector2d, Tensor2d, SymTensor2d, rotationMatrix2d, testPointInBox2d,
Vector3d, Tensor3d, SymTensor3d, rotationMatrix3d, testPointInBox3d)
from SpheralTe... |
160485 | import open3d as o3d
image_rgb = o3d.io.read_image("image.png")
image_depth = o3d.io.read_image("image_depth.png")
width = int(image_rgb.get_max_bound()[0])
height = int(image_rgb.get_max_bound()[1])
camera_intrinsic = o3d.camera.PinholeCameraIntrinsic(width=width, height=height, fx=500, fy=500,cx=width/2, cy=height/2... |
160621 | from distutils.core import setup
setup(
name = 'py-geohash-any',
packages = ['py_geohash_any', 'py_geohash_any.tests'],
version = '1.1',
description = 'Python geohash library designed to use any encoding',
author = '<NAME>',
author_email = '<EMAIL>',
url = 'https://github.com/kyleb... |
160645 | from setuptools import setup, find_packages
def parse_requirements(requirement_file):
with open(requirement_file) as f:
return f.readlines()
setup(
name='graphish',
version='1.3.0',
packages=find_packages(exclude=['tests*']),
license='MIT',
description='A Python package to search & del... |
160708 | import h5py
import random
import numpy as np
import pdb
import torch
class DataLoaderSimple(object):
"""
DataLoader class for abstracting the reading, batching and shuffling operations
Does not use expert rewards.
"""
def __init__(self, opts):
"""
Loads the dataset and saves settin... |
160762 | from arbitrage.public_markets._bitfinex import Bitfinex
class BitfinexUSD(Bitfinex):
def __init__(self):
super().__init__("USD", "btcusd")
|
160795 | import pygame
import time
scoreDataA = []
scoreDataB = []
scoreDataC = []
scoreDataD = []
def saveFile():
index = input("Enter your song INDEX:")
with open("SongData.h", "w+") as f:
f.writelines("const int LENGTH_" + str(index) + " = " + str(len(scoreDataA)) + ";")
f.write("static const bool ... |
160828 | import os, sys, vcs, cdms2
f = cdms2.open(os.path.join(vcs.sample_data,"clt.nc"))
V = f("clt")
x = vcs.init()
x.plot(V, bg=1)
|
160845 | expected_output = {
"interface": {
"GigabitEthernet1/0/1": {
"out": {
"mcast_pkts": 188396,
"bcast_pkts": 0,
"ucast_pkts": 124435064,
"name": "GigabitEthernet1/0/1",
"octets": 24884341205,
},
... |
160884 | from random import *
class Temporales:
def __init__(self, tablaSimbolos={}, variables={}, funciones={}, temp= 0, etiqueta = 0, parametro=0, funcion = 1, retorno = 0):
self.variables = variables.copy()
self.parametro = parametro
self.funciones = funciones.copy()
self.tablaSimbolos = ... |
160900 | import sys
import math
import numpy as np
from datetime import datetime
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
def ortho_weight(ndim):
"""
Random orthogonal weights
Used... |
160913 | from rq import get_current_job
from app import db
from app.models import Tasks
def _set_task_progress(progress: int) -> None:
"""
A helper function which updates the progress status of a background task
Parameters
----------
progress : int
The percentage of the task progress
"""
j... |
160921 | import track_utils as utils
import pickle
import re
import os
import scipy.signal as signal
import multiprocessing
import time
import numpy as np
import copy
import ipdb
import collections
import glob
global global_tracks
def smooth_padding(scores, smooth_window, smoothing):
# define the window size in which we ... |
160925 | import FWCore.ParameterSet.Config as cms
tdcZeros = cms.VPSet(cms.PSet(
endRun = cms.int32(31031),
tdcZero = cms.double(1050.5),
startRun = cms.int32(27540)
),
cms.PSet(
endRun = cms.int32(999999),
tdcZero = cms.double(1058.5),
startRun = cms.int32(31032)
))
|
160969 | import json
from unittest import mock
import alteia
from tests.core.resource_test_base import ResourcesTestBase
DEFAULT_MOCK_CONTENT = {'url': 'some url',
'connection': {
'max_retries': 1,
'disable_ssl_certificate': True}}
class TestSDK... |
161050 | import os
import sys
sys.path.insert(0, os.path.abspath(
os.path.join(os.path.dirname(__file__), '..')))
import numpy as np
import util
from ebnn.utils import binary_util
if __name__ == '__main__':
parser = util.default_parser('MLP Example')
args = parser.parse_args()
# get the dataset (default is ... |
161072 | import glob
import logging
from . import Reader
LOG = logging.getLogger(__name__)
def load_all(path, recursive=True, scene_type=None, sample=None):
"""Parsed scenes at the given path returned as a generator.
Each scene contains a list of `Row`s where the first pedestrian is the
pedestrian of interest.
... |
161090 | from kafka.producer import KafkaProducer
import sys
import os
sys.path.insert(0, os.path.abspath(os.path.join(os.path.dirname(__file__), os.pardir)))
from lib.commonsplunk import check_events_from_splunk
from lib.commonkafka import *
from lib.helper import *
from datetime import datetime
import threading
import loggin... |
161099 | import os
from functools import partial
import argparse
from absl import logging
from lib import settings, train, model, utils
from tensorflow.python.eager import profiler
import tensorflow.compat.v2 as tf
tf.enable_v2_behavior()
""" Enhanced Super Resolution GAN.
Citation:
@article{DBLP:journals/corr/abs-180... |
161105 | description = 'FRM II FAK40 information (cooling water system)'
group = 'lowlevel'
tango_base = 'tango://ictrlfs.ictrl.frm2:10000/frm2/'
devices = dict(
FAK40_Cap = device('nicos.devices.entangle.AnalogInput',
tangodevice = tango_base +'fak40/CF001',
description = 'The capacity of the cooling wat... |
161132 | import numpy as np
from scipy.ndimage import imread
from scipy.misc import imsave
from itertools import izip
from collections import deque
from pylibs.spatialfunclib import projection_onto_line
import sqlite3
import math
import sys
import os
import pickle
# globals
min_lat, min_lon, max_lat, max_lon = None, None, None... |
161204 | import numpy as np
from sklearn.metrics import r2_score as sklearn_r2_score
from tensorflow import convert_to_tensor
from scikeras.wrappers import KerasRegressor
from .mlp_models import dynamic_regressor
def test_kerasregressor_r2_correctness():
"""Test custom R^2 implementation against scikit-learn's."""
... |
161235 | from __future__ import division
import logging
import traceback
from sqlalchemy.sql import select
from database import get_engine, engine_disposal, anomalies_table_meta
# @added 20210420 - Task #4022: Move mysql_select calls to SQLAlchemy
# Add a global method to query the DB for the latest_anomalies
def latest_ano... |
161251 | from __future__ import print_function
import pickle
import numpy
import theano
numpy.random.seed(42)
def prepare_data(seqs, labels):
"""Create the matrices from the datasets.
This pad each sequence to the same lenght: the lenght of the
longuest sequence or maxlen.
if maxlen is set, we will cut all ... |
161257 | import math
from collections import OrderedDict
import logging
logger = logging.getLogger(__name__)
import numpy as np
import torch
import tensorflow as tf
from paragen.generators import AbstractGenerator, register_generator
from paragen.utils.io import remove
from paragen.utils.runtime import Environment
@register... |
161299 | import discord
from discord.ext import commands
class Info:
"""Info is a class within Pixie that is only for accessing data from discords built in things (Although we add Pixie's status command here)"""
def __init__(self, bot):
self.bot = bot
@commands.command(name="userinfo", pass_context=True... |
161310 | import json
from policyglass import Condition
def test_json():
subject = Condition("Key", "Operator", ["Value"])
assert subject.json() == json.dumps({"key": "Key", "operator": "Operator", "values": ["Value"]})
|
161354 | import requests
from bs4 import BeautifulSoup
from fake_useragent import UserAgent
import re
from datetime import datetime
from time import sleep
from random import randint
FILE_PATH = './'
host = 'https://www.cableav.tv/'
proxies = {
'http': 'http://127.0.0.1:7890',
'https': 'http://127.0.0.1:7890'
}
ua = UserA... |
161369 | from gempy.eti_core.etiparam import ETIParam
PARAMETERS = "parameters"
__PARAMETERS_SET_INTERNALLY__ = ["FLAG_IMAGE",
"CHECKIMAGE_NAME",
"CATALOG_NAME"]
class SExtractorETIParam(ETIParam):
def __init__(self, params):
super().__init__(para... |
161424 | import time
import numpy as np
from airobot import Robot
from airobot import log_warn
from airobot.utils.common import euler2quat
def main():
"""
This function shows an example of block stacking.
"""
np.set_printoptions(precision=4, suppress=True)
robot = Robot('franka')
success = robot.arm.... |
161458 | import os
import re
xrdb_regex = re.compile("(.+)\.[xX][rR][dD][bB]$")
class Xrdb(object):
def __init__(self, filename):
"""Parse an xrdb file"""
self.name = xrdb_regex.match(os.path.basename(filename)).group(1)
self.colors = [None] * 16
color_regex = re.compile("#define +Ansi_... |
161531 | import tensorflow as tf
import numpy as np
from models.tf_model import TFModel
class RNN(TFModel):
def input_layer(self):
'''
Data and Hyperparameters
'''
with tf.variable_scope("input_layer"):
# Tensor containing word ids
# shape = (batch size, max leng... |
161532 | import vcr
@vcr.use_cassette
def test_esearchresult(client):
r = client.esearch(db="pubmed", term="hart rk[author]")
assert 5 < r.count
assert 0 == r.retstart
assert isinstance(r.ids, list)
assert 27814769 in r.ids
|
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