content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# -*- coding: utf-8 -*-
"""Align the UniProt with the Bioregistry."""
from typing import Sequence
from bioregistry.align.utils import Aligner
from bioregistry.external import get_uniprot
__all__ = [
"UniProtAligner",
]
class UniProtAligner(Aligner):
"""Aligner for UniProt."""
key = "uniprot"
gett... | [
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... | 2.449848 | 329 |
from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^search$',views.bikeSearch,name='bikeSearch'),
url(r'^submit$',views.bikeSubmit,name='bikeSubmit'),
url(r'^sold$',views.bikeSoldSearch,name='bikeSoldSearch'),
url(r'^modify/(?P<bikeNumber>[0-9]+)$',views.bikeModify,name="bikeMo... | [
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#!/usr/bin/env python
""" Clean crawler cache at ~/.eiii folder periodically """
import os
import shutil
import sys
import time
import datetime
CACHE_ROOT=os.path.expanduser('~/.eiii/crawler/')
def files_to_clean(limit=7):
""" Return files which are older than <limit> days as a generator """
for dirf in ('... | [
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... | 2.060755 | 609 |
from rest_framework import serializers
from auction_api.models import Auction, Bid
from auction_api.serializers.bid import BidSerializer
| [
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#! Master Folder
Class MasterFolder(name,path):
MasterFolder.name=name
MasterFolder.path=path
#def checkFolder
#update MasterFolderList
#def createFolder
#def createDB
#def getinfo
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2... | 2.666667 | 81 |
import os
import flask
from flask import Flask
import mysql.connector
user = os.environ['MYSQL_USER']
password = ''
insert_vote_query = """
INSERT INTO vote (user_id, weekend)
VALUES ({}, {});
"""
update_rewards_query = """
UPDATE USER
SET RECOMMENDATION_QUOTA = RECOMMENDATION_QUOTA + 1
WHERE ID ... | [
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6... | 2.379404 | 369 |
from functools import wraps
from django.utils.decorators import available_attrs
from django.shortcuts import redirect
from django.urls import reverse_lazy
from django_auth_lti.verification import is_allowed
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''' 18-Get current Bitcoin value '''
import requests
CBV = requests.get('https://api.coinmarketcap.com/v1/ticker/bitcoin/')
for coin in CBV.json():
print("Current USD$ price for 1 Bitcoin")
print(coin["price_usd"])
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... | 2.8125 | 80 |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -----------------------------------------------------------------... | [
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... | 3.529412 | 374 |
import shutil
import os
BASE_PATH = 'ops_example' # this will be our base path
# let's perform an initial cleanup just in case
if os.path.exists(BASE_PATH) and os.path.isdir(BASE_PATH):
shutil.rmtree(BASE_PATH)
os.mkdir(BASE_PATH)
path_b = os.path.join(BASE_PATH, 'A', 'B')
path_c = os.path.join(BASE_PATH, 'A... | [
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import os
import tempfile
from infra_buddy.context.deploy_ctx import DeployContext
from infra_buddy.aws import s3
from infra_buddy.aws.s3 import S3Buddy, CloudFormationDeployS3Buddy
from infra_buddy.deploy.s3_deploy import S3Deploy
from testcase_parent import ParentTestCase
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... | 2.936842 | 95 |
from typing import Collection, Counter
# 1st solution
# O(km) time | O(1) space
# m, n are the length of s1 and s2, and k = n - m
# 2nd solution, moving window
# O(km) time | O(1) space | [
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# coding=utf-8
from email.utils import formataddr
from smtplib import SMTPRecipientsRefused
from smtplib import SMTPServerDisconnected
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
import tempfile
from bika.lims import bikaMessageFactory as _
from bika.lims.utils import t
from bik... | [
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#!/usr/bin/env mytrader
# -*- coding: utf-8 -*-
# Created by ZIJIA on 2021/10/15
#
import re
import scrapy
from bs4 import BeautifulSoup
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... | 2.387097 | 62 |
import time
import numpy as np
f = open('test', 'w')
for i in range(30):
time.sleep(0.5)
f.write('%d,%f\n' % (i, np.random.rand()))
f.close()
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# Auto generated configuration file
# using:
# Revision: 1.19
# Source: /local/reps/CMSSW/CMSSW/Configuration/Applications/python/ConfigBuilder.py,v
# with command line options: Configuration/GenProduction/python/pythonLHEGEN.py --fileout file:eventLHEGEN-output.root --mc --eventcontent RAWSIM,LHE --customise SLHCUp... | [
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... | 2.608089 | 2,868 |
import collections
from scc_algorithm import StronglyConnectedComponentFinder
if __name__ == "__main__":
g = Graph.construct_from_matrix([[0.9, 0.1],[0.3, 0.7]], vertices=["A", "B"])
print(g)
g2 = Graph(list(range(4)), {0: [1], 1: [2], 2: [3], 3: [0, 1]})
scc_finder = StronglyConnectedComponentFind... | [
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... | 2.318182 | 154 |
import torch.nn as nn
from torch.utils.data import DataLoader
from torch.optim import SGD
from torchvision.datasets import CIFAR10
from torchvision.transforms import Compose, ToTensor, Normalize, RandomCrop, RandomHorizontalFlip
from horch.datasets import train_test_split
from horch.optim.lr_scheduler import CosineA... | [
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6... | 2.524943 | 882 |
import time, calendar, sched, winsound
duration = 750 # Bell duration in ms
freq = 1280 # Bell frequency in hertz
bellchar = "\u2407"
watches = 'Middle,Morning,Forenoon,Afternoon,First/Last dog,First'.split(',')
off = gap
scheds = sched.scheduler(time.time, time.sleep)
if __name__ == '__main__':
s... | [
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from django.urls import path,include
from . import views
from rate import views as user_views
from django.conf.urls.static import static
from django.conf import settings
from django.conf.urls import url
urlpatterns=[
path('',views.home,name = 'home'),
path('accounts/register/', views.register, name='register')... | [
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... | 2.925795 | 283 |
from abc import ABC, abstractmethod
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] | 4.111111 | 9 |
"""Rolling Statistics View"""
__docformat__ = "numpy"
import os
import matplotlib.pyplot as plt
import pandas as pd
from pandas.plotting import register_matplotlib_converters
from gamestonk_terminal import feature_flags as gtff
from gamestonk_terminal.common.quantitative_analysis import rolling_model
from gamestonk_... | [
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# Copyright (c) 2010-2011 OpenStack, LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to ... | [
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... | 3.377691 | 511 |
import numpy as np
np.random.seed(0)
import sys
sys.path.append('./../..')
from forecaster import forecaster
from VanillaLSTM_keras import VanillaLSTM_keras
from util import myfigure
from ABBA import ABBA
import matplotlib as mpl
import time
mpl.rcParams.update(mpl.rcParamsDefault)
ts=[349,349,347,351,347,347,347,347,... | [
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... | 2.000674 | 2,966 |
import jinja2
loader = jinja2.FileSystemLoader(['.'])
environment = jinja2.Environment(loader=loader)
template = environment.get_template('biography.html')
who = 'Beatrice Tinsley'
what = ['Born 1941', 'Died 1981', 'Studied stellar aging']
result = template.render(name=who, facts=what)
print result
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... | 3.091837 | 98 |
import escher,escher.urls,json,os
from IPython.display import HTML
def show_map(sol,map_loc,color=0):
''' Returns an escher Builder object for solution 'sol', map 'map_loc' and the supplied color scheme.
sol: the solution object containing the simulation results.
map_loc: filename of the... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jan 24 16:13:53 2018
@author: magalidrumare
@ copyright François Cholet DeepLearning with Python
"""
# Variational autoencoders
# -> A classical image autoencoder takes an image,
# maps it to a latent vector space via an "encoder" module,
# decode... | [
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65... | 2.651272 | 1,494 |
from pyppy.args import fill_args
from pyppy.config import initialize_config, config
initialize_config()
config().debug = True
@fill_args()
assert debug_log(message="useful logs") == "debugging: useful logs"
config().debug = False
assert not debug_log(message="useful logs")
| [
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341... | 3.321429 | 84 |
# Copyright (C) 2008 Huub van Dam, Science and Technology Facilities Council,
# Daresbury Laboratory.
# All rights reserved.
#
# Developed by: Huub van Dam
# Science and Technology Facilities Council
# Daresbury Laboratory
# Computational Science and... | [
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# coding: utf-8
"""
Cisco Intersight OpenAPI specification.
The Cisco Intersight OpenAPI specification.
OpenAPI spec version: 1.0.9-1461
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from pprint import pformat
from six import iteritems
import re
class ResourcePerTypeCo... | [
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import functools
import argparse
import os
import sys
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from losses import *
from sparsity_ops import *
from train import *
FLAGS ... | [
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198... | 2.508278 | 604 |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from frw_temp import forwardFn
import rospy
rospy.init_node('frw_tester', anonymous=True, disable_signals=True)
x = [0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1]
y = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]
print("Testing Forward")
print(" ")
for i in range(1, len(x)):
p... | [
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174... | 1.928571 | 238 |
from django.contrib.auth import get_user_model
from django.contrib.auth.models import User as BaseUser
from django.core.management.base import BaseCommand, CommandError
from django.db import IntegrityError
from django.utils.crypto import get_random_string
User: BaseUser = get_user_model()
| [
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7... | 3.47619 | 84 |
class PSF(object):
"""
class to manage the point-spread-function attributes
"""
@property
def pixel_kernel(self):
"""
:return: 2d gird of PSF kernel in pixel units
"""
return 0
def subsampled_kernel(self, subsampling_factor):
"""
:param subsa... | [
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1... | 2.277174 | 184 |
# coding: utf-8
# Copyright (C) 2019 Nguyen Ngoc Sang, <https://github.com/SangVn>
from functions import P2F
# thông số dòng tự do
P_freestream = None
# Hàm sign_ic: xác định `thêm hay bớt` dòng ở ô lưới kề bên side
# Điều kiện dòng chảy vào
# P_side = P_freestream
# Điều kiện dòng chảy ra
# P_side = P_in
# Điều... | [
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... | 1.59854 | 411 |
""" Generic time-domain features
"""
from functools import singledispatch
from typing import List, Union, Tuple
import numpy as np
from numpy.lib.stride_tricks import as_strided
from numpy import polyfit
from numba import jit, guvectorize
@jit
def gradient(x):
"""Calculate the derivative / gradient of the input [... | [
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13,
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13,
2536,
... | 2.333774 | 3,026 |
'''
Download NLTK data
'''
import nltk
nltk.download('punkt')
nltk.download('averaged_perceptron_tagger')
| [
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1153... | 2.377778 | 45 |
from tensorflow import keras | [
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11192,
273,
11125,
1330,
41927,
292
] | 4 | 7 |
"""
Text fields allow users to enter input
"""
from kivy.uix.textinput import TextInput
from kivy.uix.boxlayout import BoxLayout
from kivy.properties import StringProperty, ColorProperty
from kivy.lang.builder import Builder
__all__ = [
'CupertinoTextField',
'CupertinoTextView',
'CupertinoSearchBar'
]
Bu... | [
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479... | 2.098761 | 2,582 |
###########################
# Reset working directory #
###########################
from os import chdir
chdir("G:\\My Drive\\Academic\\Research\\Cartpole Simulation")
###########################
# Cartpole Package....... #
###########################
from cartpole.args.tf_static_args import TFStaticArgs
| [
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... | 3.95 | 80 |
"""Tests for normalization functions."""
import sqlite3
from . import _unittest as unittest
from datatest.requirements import BaseRequirement
from datatest._utils import IterItems
from datatest._normalize import TypedIterator
from datatest._normalize import _normalize_lazy
from datatest._normalize import _normalize_ea... | [
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265,... | 2.936275 | 408 |
# -*- coding: utf-8 -*-
###########################################################################
# Copyright (c), The AiiDA team. All rights reserved. #
# This file is part of the AiiDA code. #
# ... | [
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... | 2.471721 | 831 |
# @Author : bamtercelboo
# @Datetime : 2018/07/19 22:35
# @File : model_GRU.py
# @Last Modify Time : 2018/07/19 22:35
# @Contact : bamtercelboo@{gmail.com, 163.com}
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
import numpy as np
import random
from DataUtils.Com... | [
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2... | 2.702532 | 158 |
#######################################################################################
import nltk
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords, wordnet
from nltk.stem import WordNetLemmatizer
import string
from collections import defaultdict
# Import default dictionary for dictionary li... | [
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299,... | 2.804009 | 449 |
import sys
N, K = (int(term) for term in sys.stdin.readline().split())
A = sys.stdin.readline().split()
for i in range(N):
A[i] = int(A[i])
K -= 1
print(f(0, N))
| [
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287,... | 2.179487 | 78 |
# coding=utf-8
from typing import List
from src.data_structure.data_structure import ListNode
class Solution:
"""
旋转单链表
"""
def rotate_right(self, head: ListNode, k: int) -> ListNode:
"""
Time: O(n), Space: O(1)
:param head:
:param k:
:return:
"""
... | [
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220,
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220,
220,
220,
10545,
... | 1.856021 | 382 |
import random, time
from dtest import debug, Tester
from pytools import new_node, insert_c1c2, query_c1c2
from pyassertions import assert_almost_equal
from ccmlib.cluster import Cluster
from cassandra import ConsistencyLevel
| [
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66,
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6738,
12972,
30493,
507,
1330,
6818,
62,
2817... | 3.424242 | 66 |
'''
lab5.py
'''
#3.1
alien_color = 'green'
if alien_color == 'green':
print('the player just earned 5 points')
#3.2
alien_color = 'green'
if alien_color == 'green':
print('the player just earned 5 points')
else:
print('you have earned 10 points')
#3.3
my_list = ['strawberry', 'pear', 'peach']
if 'st... | [
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655,
7366,
642,
... | 2.321168 | 274 |
import os
import earhart.plotting as ep
from earhart.paths import RESULTSDIR
PLOTDIR = os.path.join(RESULTSDIR, 'bisector_span_vs_RV')
if not os.path.exists(PLOTDIR):
os.mkdir(PLOTDIR)
ep.plot_bisector_span_vs_RV(PLOTDIR, which='Gummi')
ep.plot_bisector_span_vs_RV(PLOTDIR, which='Hartman')
| [
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7,
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11,
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62,
... | 2.357143 | 126 |
# -*- coding: utf-8 -*-
from .._common import *
site = IfengVideo()
| [
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628,
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1002,
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198
] | 2.366667 | 30 |
"""
Individual Class
each individual is a set of hyper_features,
and has a given set of fitness values (one for each objective)
"""
from Feature import Feature
import random
import numpy as np
from copy import deepcopy
# retrieves the number of features in genotype
# generates a featur... | [
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... | 2.933333 | 615 |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : __init__.py
# Author : Honghua Dong
# Email : dhh19951@gmail.com
# Date : 11/21/2019
#
# Distributed under terms of the MIT license.
from .model import *
from .observer import *
| [
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198,
2,
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1058,
8835,
456,
6413,
28831,
198,
2,
957... | 2.536842 | 95 |
import argparse
from distutils.util import strtobool
parser = argparse.ArgumentParser()
parser.add_argument('arg_bool', type=strtobool)
args = parser.parse_args()
print(args.arg_bool)
print(type(args.arg_bool))
| [
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62,
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10786,
853,
62,
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3256,
2099,
28,
2536,
83,
672,
97... | 2.878378 | 74 |
#############################################################################
#
# Author: J. Ren
#
#############################################################################
"""
TBD
"""
import os
| [
29113,
29113,
7804,
4242,
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2,
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2,
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25,
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51,
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198,
198,
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198
] | 5.742857 | 35 |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2017-09-14 05:27
from __future__ import unicode_literals
from django.db import migrations, models
| [
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25,
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9,
12,
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2,
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515,
416,
37770,
352,
13,
1157,
319,
2177,
12,
2931,
12,
1415,
8870,
25,
1983,
198,
6738,
11593,
37443,
834,
1330,
28000,
1098,
62,
17201,
874,
198,
198,
6738... | 2.8 | 55 |
from typing import Iterator, Tuple
import attr
from go_space import consts, exceptions
@attr.s(frozen=True)
| [
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1352,
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13269,
628,
198,
31,
35226,
13,
82,
7,
69,
42005,
28,
17821,
8,
198
] | 3.027027 | 37 |
#! /bin/env python
#
# Simply verify the environment is valid for running the client apps.
#
import argparse
# pylint: disable=superfluous-parens
# pylint: disable=broad-except
import importlib
import logging
import sys
from rdr_service.services.gcp_utils import gcp_get_app_access_token, gcp_get_app_host_name
from r... | [
2,
0,
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8800,
14,
24330,
21015,
198,
2,
198,
2,
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318,
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329,
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198,
2,
279,
2645,
600,
25,
15560,
28,
16668,
35522,
516,
12,
11730... | 3.008 | 250 |
'''
Simple module that checks whether an integer complies with either the
fizz rule or the buzz rule.
'''
class Checker:
'''
Checker class contains two methods is_fizz and is_buzz that return booleans
dependent on whether an integer complies with either the fizz or buzz rule
'''
@staticmethod
... | [
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682... | 2.651261 | 238 |
from django.urls import path
from . import views
# app_name = "flights"
urlpatterns = [
path("", views.index, name="index"),
path("<int:flight_id>", views.flight, name="flight"),
path("<int:flight_id>/book", views.book, name="book"),
] | [
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26... | 2.648936 | 94 |
from cv2 import (ORB_create, BFMatcher_create, perspectiveTransform, warpPerspective, findHomography,
NORM_HAMMING, RANSAC, drawKeypoints, imshow, waitKey)
from numpy import array, concatenate, float32, int32
class Stitcher:
"""
The Stitcher class implements manual stitching between two image... | [
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
22... | 2.397341 | 2,557 |
from copy import deepcopy
from shutil import copyfile
from sys_simulator.q_learning.environments.completeEnvironment12 import CompleteEnvironment12
from time import time
import numpy as np
import torch
from torch.utils.tensorboard import SummaryWriter
from sys_simulator.channels import BANChannel, UrbanMacroNLOSWinne... | [
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... | 2.508151 | 1,779 |
"""
Tilapya's internal utilities. Not part of the public API.
"""
from requests import Session
from tilapya import __version__
from .errors import TransLinkAPIError
USER_AGENT = '{}/{}'.format("tilapya", __version__)
| [
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1... | 3.25 | 68 |
# -*- coding: utf-8 -*-
"""
LSF remote workflow implementation. See https://www.ibm.com/support/knowledgecenter/en/SSETD4_9.1.3.
"""
__all__ = ["LSFWorkflow"]
import os
import logging
from abc import abstractmethod
from collections import OrderedDict
import luigi
from law import LocalDirectoryTarget, NO_STR, get... | [
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24,... | 3.074419 | 215 |
# Auto generated by 'inv collect-airflow'
from airfly._vendor.airflow.models.baseoperator import BaseOperator
| [
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] | 3.580645 | 31 |
import os
import argparse
import json
from glob import glob
import numpy as np
import torch
import torch.optim as optim
import torchvision.transforms as transforms
import datasets.wsi_dataset_eval as wsi_dataset
import models.mobilenet as mobilenet
import loss.censored_crossentropy_loss as cce_loss
from utils import ... | [
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... | 2.454688 | 640 |
######################################################################
# Author: Shawn Villahermosa
# Username: villahermosas
#
# Assignment: A02: Loopy Turtles
# Purpose: To very simply demonstrate the turtle library to demo shapes
######################################################################
# Acknowledgemen... | [
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2... | 2.779394 | 825 |
# Native modules
import os
# Third-party modules
import pkg_resources
import yaml
# Package name
PACKAGE_NAME = 'pygame_rl'
def get_resource_path(resource_name):
"""Get the resource path.
Args:
resource_name (str): The resource name relative to the project root
directory.
Returns:
... | [
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6,
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... | 2.564948 | 485 |
# Copyright (c) 2018 5GTANGO, QUOBIS SL.
# ALL RIGHTS RESERVED.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | [
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34... | 3.239884 | 692 |
# -*- coding: utf-8 -*-
"""
cues.canvas
===========
This module contains the Canvas class for interpreting and reading information about the console and current output.
"""
import shutil
import traceback
from abc import ABC
from . import utils
class Canvas(ABC):
"""Abstract base class for handling the console... | [
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... | 2.735537 | 726 |
"""/**
* @author [Jai Miles]
* @email [jaimiles23@gmail.com]
* @create date 2020-05-13 22:41:48
* @modify date 2020-05-13 22:41:48
* @desc [
Data module for the check_answer directory.
]
*/
"""
MS_QUESTION = (
"{} times {}"
)
MT_EQUALS = (
"is",
"equals",
)
MS_NOT_ANS = "Not {}!" | [
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import paho.mqtt.client as mqtt
from random import randrange
import json
import time
# Join do node
# Função de callback para lidar com as mensagens recebidas
# Função que ordena os nodes e define seu sucessor e antecessor
if __name__ == '__main__':
node = DhtNode()
node.join() | [
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390,... | 2.754545 | 110 |
from django.conf.urls import url, include
from . import views
urlpatterns = [
# url(r'^$', views.?, name='?'),
url(r'^courses/$',views.courses,name="courses"),
url(r'^select', views.select, name="select"),
url(r'^table', views.table, name="table"),
url(r'^teacher', views.teacher, name="teacher"),
... | [
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... | 2.640693 | 462 |
# coding: utf-8
# 2021/8/22 @ tongshiwei
from baize.mxnet.utils import format_sequence, mask_sequence_variable_length
from mxnet import gluon
from mxnet import ndarray
| [
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... | 2.822581 | 62 |
"""
The log analyzer module reads and parses Varian linear accelerator machine logs, both Dynalogs and Trajectory logs. The module also
calculates actual and expected fluences as well as performing gamma evaluations. Data is structured to be easily accessible and
easily plottable.
Unlike most other modules of pylinac,... | [
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635,
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... | 2.31681 | 34,295 |
from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis
from sklearn.naive_bayes import GaussianNB
import numpy as np
X = np.array([[0.6585,0.2444], [2.246, 0.5281], [-2.7665, -3.8303], [-1.2565, 3.4912], [-0.7973, 1.2288], [1.117, 2.2637]])
Y = np.array([0, 0, 0, 1, 1, 1])
qda = QuadraticDiscriminantAn... | [
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... | 2.255319 | 235 |
from numpy import nan
import pytest
import pandapower as pp
from pandapower.opf.validate_opf_input import _check_necessary_opf_parameters
try:
import pplog as logging
except ImportError:
import logging
logger = logging.getLogger(__name__)
if __name__ == "__main__":
if 1:
pytest.main(['-... | [
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1714... | 2.344444 | 180 |
"""League Updater Module."""
| [
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] | 3.222222 | 9 |
#-
# Copyright (c) 2014 Jonathan Woodruff
# Copyright (c) 2014 Robert M. Norton
# All rights reserved.
#
# This software was developed by SRI International and the University of
# Cambridge Computer Laboratory under DARPA/AFRL contract FA8750-10-C-0237
# ("CTSRD"), as part of the DARPA CRASH research programme.
#
# @BE... | [
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... | 3.540984 | 366 |
import asyncio
import pytest
import ray
from ray import serve
import ray.serve.context as context
from ray.serve.policy import RoundRobinPolicyQueueActor
from ray.serve.backend_worker import create_backend_worker, wrap_to_ray_error
from ray.serve.request_params import RequestMetadata
from ray.serve.config import Back... | [
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... | 3.342342 | 111 |
from parglare import GLRParser
from parglare.tables.persist import table_from_serializable
from _table import table
from grammar import grammar
table = table_from_serializable(table, grammar)
parser = GLRParser(grammar, table=table)
print(parser.parse('aaabbb'))
| [
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... | 3.216867 | 83 |
from .authentication import AuthenticationMixIn
from .post import PostMixin
from .request import RequestMixIn
from .profile import ProfileMixin
from .friendships import FriendshipsMixin
from .search import SearchMixin
| [
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import glob
import os
# Type in the folder- and filename to read the files
folder_name = "TG"
file_names = "TG_*.txt"
# Fetch the folder with the specific data files
abs_path = os.path.abspath(folder_name) # Replace the string here with your target folder
# Get all the files in the folder
txt_files = glob.glob(abs_... | [
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1,
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2,
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... | 2.462338 | 385 |
name = "getv"
| [
3672,
796,
366,
1136,
85,
1,
198
] | 2 | 7 |
# David Markham
# Fisher Iris Data set
# Use a colour Scatterplot to determine relationship between species.
# Sepal length versus petal length.
# Import Libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from pandas.plotting import scatter_matrix
import seaborn as sns
from sklearn impo... | [
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... | 2.582589 | 448 |
import bs4
import requests
import collections
WeatherReport = collections.namedtuple('WeatherReport',
'loc, temp, scale, condition, feelslike')
if __name__ == "__main__":
# get zip code from user
zipcode = input('What zip code do you want the weather for? ')
# g... | [
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220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
220,
... | 2.057971 | 414 |
"""
The player module contains players, bids, player stats.
"""
from hand import Hand
from hand import HandOwner
from collections import namedtuple
class Player(HandOwner):
""" Player has a hand, a selection strategy (to play a card), and a set of stats. """
def play_card(self, prize_card, hand, max_card):
... | [
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42... | 2.830813 | 1,058 |
# -*- coding: utf-8 -*-
"""
Programa 4: Fórmula de Simpson compuesta
"""
"""
Datos de entrada
"""
# Función cuya integral queremos aproximar
import scipy as sp
import numpy as np
from numpy.polynomial import polynomial as P
import math
import scipy.integrate as integrate
import scipy.special as special
a = 0
b = ... | [
2,
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9,
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198... | 2.410526 | 380 |
import socket
# Attacks on target
ATTACK_TYPE = [
'ARP_POISON',
'DNS_HIJACK',
'DNS_AMPLIFY',
'SMURF',
'SYN_FLOOD',
'NTP_AMPLIFY',
'SYN_SCAN',
'ACK_SCAN',
'XMAS_SCAN',
'FIN_SCAN',
'NULL_SCAN'
'INVALID'
]
if __name__ == "__main__":
main() | [
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"""Main Gui window."""
import os
import sys
from PyQt5 import QtCore, QtGui, QtWidgets
from utils import intialize_predection_model
from instructions import Ui_Instructions # instructions
from about import Ui_About # about
from realTime import Ui_RealTime # real time mod... | [
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3... | 2.156652 | 466 |
from setuptools import setup
__version__ = '0.1.0'
setup(
name='jobqueue',
version=__version__,
licence='MIT',
install_requires=[],
test_suite='jobqueue.tests',
tests_require=[],
packages=['jobqueue'],
scripts=['scripts/jobqueue']
)
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... | 2.728261 | 92 |
#!/usr/bin/env python3
#
# Arm SCP/MCP Software
# Copyright (c) 2021, Arm Limited and Contributors. All rights reserved.
#
# SPDX-License-Identifier: BSD-3-Clause
#
import check_copyright
import check_doc
import check_spacing
import check_tabs
import check_framework
import docker
import os
import signal
import subproc... | [
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import unittest
import numpy
from worldengine.simulations.hydrology import WatermapSimulation
from worldengine.model.world import World, Size, GenerationParameters
# This does only test that watermap leaves the rng in the state that the
# original implementation would have left it in and that a very small s... | [
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... | 3.478927 | 261 |
# flake8: noqa
from __future__ import unicode_literals
import pivot
import sys
import re
import csv
import time
client = pivot.Client()
stations = client.collection('restorationstations')
for station in stations.all(limit=False, noexpand=True):
if station.site != station.siteId:
station.site = station.si... | [
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... | 2.95 | 160 |
# -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2017-04-23 10:35
from django.db import migrations
| [
2,
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] | 2.560976 | 41 |
"""
2019.10.07新增。
对应一“类”线路数据。数据结构为广义表，成员可以是Line或Category。
是Python基础dict的封装和扩展。
"""
from ..data.line import Line
from typing import Generator
| [
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106,... | 1.275862 | 116 |
"""
Script to auto-rotate and configure squid proxy farms using multiple
VPS backends using their APIs.
"""
import argparse
import os
import sys
import signal
if __name__ == "__main__":
parser = argparse.ArgumentParser(prog='rotate_proxies')
parser.add_argument('-C','--conf',help='Use the given configuration... | [
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6... | 2.464451 | 1,083 |
from ansible.api_client import APIClient
| [
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] | 3.153846 | 13 |
from drivers.sfm3200_flow_sensor import Sfm3200
import logging
if __name__ == "__main__":
main()
| [
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] | 2.6 | 40 |
# -*- coding: utf-8 -*-
# Copyright 2021 Cohesity Inc.
class DatastoreInfo(object):
"""Implementation of the 'DatastoreInfo' model.
TODO: type model description here.
Attributes:
capacity (int): Specifies the capacity of the datastore in bytes.
free_space (int): Specifies the available ... | [
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3... | 2.481013 | 632 |
import os
WATCHED = [
'SERVICE',
'STAGE',
'BUCKET',
'TABLE',
'OVERWRITE',
'USERS',
]
# load config
_config = {k.lower(): v for k, v in os.environ.items() if k in WATCHED}
if not _config.get('users'):
_config['username'] = os.environ.get('USERNAME')
_config['password'] = os.environ.get(... | [
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... | 2.342282 | 149 |