content stringlengths 1 1.05M | input_ids listlengths 1 883k | ratio_char_token float64 1 22.9 | token_count int64 1 883k |
|---|---|---|---|
#!/usr/bin/env python
# coding=utf-8
from pyecharts.option import grid
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import logging
from .endpoint import ask
def request_payment(user_id, message, options):
"""Note that amount is a integer which specifies the amount of cents in the transaction
Smooch will default to the currency specified in your account settings."""
if not valid_args(user_id, message, options):
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160... | 2.380721 | 1,442 |
import keras
from keras.models import load_model
from PIL import Image
import matplotlib.pylab as plt
import numpy as np
import zipfile
print("Extract")
zip_ref = zipfile.ZipFile("./asset.zip", 'r')
zip_ref.extractall(".")
zip_ref.close()
print("Load Model")
model=load_model("cifar-model.h5")
CIFAR_10_CLASSES=["Plane",... | [
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... | 2.432 | 250 |
"""
tt URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vi... | [
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... | 2.946429 | 560 |
import os
import click
os.environ["GIT_PYTHON_REFRESH"] = "quiet"
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import glob
import os
if __name__ == __name__:
main()
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import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.metrics import classification_report
#EVERY TIME THE DATASET IS RETRIEVED FROM GITHUB
input_file = 'https://raw.githubusercontent.com/lcphy/Digital-Innovation-Lab/master/bank-full.csv'
dataset = pd.read_csv(input... | [
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13... | 2.366088 | 2,707 |
# Copyright 2015-2018 Capital One Services, 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 ... | [
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... | 3.92638 | 163 |
# Copyright 2016 Intel Corporation
# Copyright 2017 Wind River
# 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 applica... | [
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#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
STEP 2
Takes the list of urls in the json files and downloads the html files to local drive
Start with: scrapy runspider ReviewsCollector.py
"""
import scrapy
import json | [
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... | 3.054795 | 73 |
from abc import ABC, abstractmethod
from .color import Color
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import random
Daughter = Family('Ashley', 'Smith', 'Brown')
Son = Family('Kevin', 'Smith', 'Brown')
print(Daughter.eyes)
print(Son.eyes)
#with the kids being born it will define what color hair and eyes
# they may randomly get through inheritance
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"""
homeassistant.components.device_tracker.owntracks
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
OwnTracks platform for the device tracker.
For more details about this platform, please refer to the documentation at
https://home-assistant.io/components/device_tracker.owntracks/
"""
import json
import logging
im... | [
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#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Created by Roger on 2019-09-10
# Mostly by AllenNLP
import logging
import math
from typing import Any, Dict, List, Optional, Tuple
import torch
import torch.nn.functional as F
from allennlp.data import Vocabulary
from allennlp.models.model import Model
from allennlp.mod... | [
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1... | 2.74714 | 1,661 |
"""
Given 3 bottles of capacities 3, 5, and 9 liters,
count number of all possible solutions to get 7 liters
"""
current_path = [[0, 0, 0]]
CAPACITIES = (3, 5, 9)
solutions_count = 0
if __name__ == "__main__":
try:
current_state = [0, 0, 0]
move_to_new_state(current_state)
print(s... | [
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1... | 2.412088 | 182 |
# Copyright 2019 Extreme Networks, Inc.
#
# 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 i... | [
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2... | 3.51752 | 371 |
# coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | [
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# -*- coding: utf-8 -*-
"""
test_simple_compression
~~~~~~~~~~~~~~~~~~~~~~~~~
Tests for compression of single chunks.
"""
import brotli
import pytest
from hypothesis import given
from hypothesis.strategies import binary, integers, sampled_from, one_of
def test_roundtrip_compression_with_files(simple_compressed_fil... | [
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from decimal import Decimal
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] | 4.833333 | 6 |
from scryptos import *
p1 = 32581479300404876772405716877547
p2 = 27038194053540661979045656526063
p3 = 26440615366395242196516853423447
n = p1*p2*p3
e = 3
c = int(open("flag.enc", "rb").read().encode("hex"), 16)
# from User's Guide to PARI/GP, nth_root function
sqrtnall = 'sqrtnall(x,n)={my(V,r,z,r2);r=sqrtn(x,n,&z... | [
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# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-03-29 06:43
from __future__ import unicode_literals
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import musa.models
| [
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# Copyright 2021, Kay Hayen, mailto:kay.hayen@gmail.com
#
# Part of "Nuitka", an optimizing Python compiler that is compatible and
# integrates with CPython, but also works on its own.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | [
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... | 3.474227 | 388 |
import math
from sys import exit
# , n - , P - ,
# m = -(nlog2P) / ln2 (2 - ), - -log2P
# - : (((i + 1)*x + p(i+1)) mod M) mod m, - x - , i - -,
# pi - i- , M - 31 , M = 2^31 - 1, M = 2 147 483 647, M - .
# - k . BloomFilter
# .
# m, ,
# . , :
# 1, ... | [
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"""A test that subscribes to NumPy arrays.
Uses REQ/REP (on PUB/SUB socket + 1) to synchronize
"""
#-----------------------------------------------------------------------------
# Copyright (c) 2010 Brian Granger
#
# Distributed under the terms of the New BSD License. The full license is in
# the file COPYING.BSD... | [
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import sqlite3
con = sqlite3.connect(":memory:")
# enable extension loading
con.enable_load_extension(True)
# Load the fulltext search extension
con.execute("select load_extension('./fts3.so')")
# alternatively you can load the extension using an API call:
# con.load_extension("./fts3.so")
# disable extension load... | [
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# Lint as: python3
# Copyright 2018 The TensorFlow Authors. 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 ... | [
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#! usr/env/bin python
import glob
import numpy as np
import pandas as pd
from tqdm import tqdm
def get_place_crime_count(path:str)->pd.DataFrame:
"""
Function to return
"""
# Extracting the table name from and year from the given file path
t_name = " ".join(path[path.index("Table"):path.index(... | [
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# pylint: disable=no-self-use,invalid-name
import numpy as np
from numpy.testing import assert_almost_equal
import torch
from allennlp.common import Params
from allennlp.data import Vocabulary
from allennlp.modules.token_embedders import BagOfWordCountsTokenEmbedder
from allennlp.common.testing import AllenNlpTestCase
... | [
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34... | 3.309278 | 97 |
import argparse
import logging
import multiprocessing as mp
import logging
import os
from detectron2.evaluation import inference_context
import torch
import torch.distributed as dist
import torch.multiprocessing as mp
from detectron2.utils.collect_env import collect_env_info
from detectron2.utils.logger import setup_lo... | [
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import numpy as np
# from sklearn.ensemble import BaggingClassifier
# from sklearn.tree import DecisionTreeClassifier
from sklearn.neighbors import KNeighborsClassifier
from sklearn.utils.validation import (
check_X_y,
check_array,
NotFittedError,
)
from sklearn.utils.multiclass import check_classificati... | [
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13,
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... | 3.144928 | 138 |
# Tumblr Setup
# Replace the values with your information
# OAuth keys can be generated from https://api.tumblr.com/console/calls/user/info
consumer_key='ShbOqI5zErQXOL7Qnd5XduXpY9XQUlBgJDpCLeq1OYqnY2KzSt' #replace with your key
consumer_secret='ulZradkbJGksjpl2MMlshAfJgEW6TNeSdZucykqeTp8jvwgnhu' #replace with your sec... | [
2,
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65,
... | 2.849415 | 684 |
from django.contrib import admin
from django.contrib.auth.models import Group
from accounts.models import EmailUser
from shared.admin import ExportCsvMixin
# no need for groups - we only have regular users and superusers
admin.site.unregister(Group)
| [
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import hashlib
import hmac
import logging
import time
from json.decoder import JSONDecodeError
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple
from urllib.parse import urlencode
import requests
from rotkehlchen.assets.asset import Asset
from rotkehlchen.assets.converters import asset_from_coinbase
... | [
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# -*- coding: utf-8 -*-
"""
ldap.controls.deref - classes for
(see https://tools.ietf.org/html/draft-masarati-ldap-deref)
See https://www.python-ldap.org/ for project details.
"""
__all__ = [
'DEREF_CONTROL_OID',
'DereferenceControl',
]
import ldap.controls
from ldap.controls import LDAPControl,KNOWN_RESPONSE_CO... | [
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... | 3.015625 | 320 |
import requests
import urllib.request
import os.path
import shutil
import csv
if __name__ == '__main__':
main()
| [
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34... | 2.790698 | 43 |
from __future__ import absolute_import
import signal
import tornado.ioloop
import logging
from .protocol import (
Error,
unpack_response,
decode_message,
valid_topic_name,
valid_channel_name,
identify,
subscribe,
ready,
finish,
touch,
requeue,
nop,
pub,
mpub,
... | [
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6... | 2.508738 | 515 |
import get_data_ours
import get_data_akiba
import get_data_NearLinear
import get_data_LinearTime
import os
import matplotlib.pyplot as plt
# graphs = ["uk-2002", "arabic-2005", "gsh-2015-tpd", "uk-2005", "it-2004", "sk-2005", "uk-2007-05", "webbase-2001", "asia.osm", "road_usa", "europe.osm", "rgg_n26_s0", "RHG-10000... | [
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... | 2.455541 | 1,552 |
import configparser
import sys
import inspect
from argparse import ArgumentParser, RawDescriptionHelpFormatter
| [
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] | 4.37037 | 27 |
#%% Import libs
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.model_selection import cross_validate
from sklearn.metrics import make_scorer, accuracy_score, precision_score, recall_score, f1_score
import h5py
import time
from ssccoorriinngg import ssccoorriinngg
import numpy as np
... | [
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13... | 2.05848 | 6,669 |
"""
Main BEHAVIOR demo collection entrypoint
"""
import argparse
import copy
import datetime
import os
import bddl
import numpy as np
import igibson
from igibson.activity.activity_base import iGBEHAVIORActivityInstance
from igibson.render.mesh_renderer.mesh_renderer_cpu import MeshRendererSettings
from igibson.rende... | [
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from django.utils.text import slugify
from django.utils.html import format_html
| [
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# Generated by Django 2.1.5 on 2019-03-26 11:35
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| [
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14... | 3.019231 | 52 |
from my_collection import logger
if __name__ == "__main__":
logger.now().debug("debug1")
logger.now().debug("debug2")
logger.now().info("hello1")
logger.now().info("hello2")
logger.now().with_field("key", "val").error("with field1")
logger.now().with_field("key", "val").error("with field2")
| [
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220,
220,
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2... | 2.709402 | 117 |
import argparse
from robotremoteserver import RobotRemoteServer
from .iperf3 import Iperf3
if __name__ == '__main__':
# create commandline parser
parser = argparse.ArgumentParser(formatter_class=argparse.ArgumentDefaultsHelpFormatter)
parser.prog = 'python3 -m robotframework_iperf3'
# add parser opt... | [
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225... | 2.31003 | 329 |
df8.cbind(df9)
# A B C D A0 B0 C0 D0
# ----- ------ ------ ------ ------ ----- ----- -----
# -0.09 0.944 0.160 0.271 -0.351 1.66 -2.32 -0.86
# -0.95 0.669 0.664 1.535 -0.633 -1.78 0.32 1.27
# 0.17 0.657 0.970 -0.419 -1.413 -0.51 0.64 -1.25
# 0.58 -0.516 -1.598 -1.346 0.71... | [
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2... | 1.624413 | 426 |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
from collections import abc
from keyword import iskeyword
| [
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"""The Tag problem. Implemented according to the paper `Anytime Point-Based
Approximations for Large POMDPs <https://arxiv.org/pdf/1110.0027.pdf>`_.
Transition model: the robot moves deterministically. The target's movement
depends on the robot; With Pr=0.8 the target moves away from the robot,
and with P... | [
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... | 2.930693 | 202 |
# MIT License
#
# Copyright (c) 2019 Red Hat, Inc.
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge,... | [
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... | 3.828488 | 344 |
#!/usr/bin/env python
from ndarray_ducktypes.ArrayCollection import ArrayCollection
from ndarray_ducktypes.MaskedArray import MaskedArray
from ndarray_ducktypes.MaskedArrayCollection import MaskedArrayCollection
import numpy as np
# Tests for Masked ArrayCollections.
#
# First try: Simply make an arraycollection of Ma... | [
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67... | 2.925325 | 308 |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: core.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflecti... | [
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62,
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58,
15,
60,
27,
18,
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357,
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2124,
2... | 2.352775 | 81,905 |
from neomodel import StructuredNode, StringProperty, JSONProperty, \
Relationship, IntegerProperty
import numpy as np
import re
from models.text_relation import TextRelation
__all__ = ['TextNode']
| [
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220,
220,
220,
220,
220,
220,
220,
220,
39771,
11,
34142,
21746,
198,... | 3 | 74 |
import unittest
from .helpers import StubBoard, StubPiece, C, WHITE, BLACK
if __name__ == '__main__':
unittest.main() | [
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220,
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13,
124... | 2.795455 | 44 |
from lib.fmd.namedentity import NamedEntity
from lib.fmd.decorators import Action, ListStage, GetStage
from lib.exceptions.workflow import EntryException
| [
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... | 3.666667 | 42 |
from __future__ import (
absolute_import,
unicode_literals,
)
import abc
import six
from pysoa.server.internal.types import is_switch
__all__ = (
'SwitchedAction',
)
| [
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6738,
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... | 2.597222 | 72 |
from .base import *
SECRET_KEY = 'test'
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
TEMPLATE_DEBUG = True
ALLOWED_HOSTS = ['127.0.0.1']
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.sqlite3',
'NAME': 'sqlite3.db',
'USER': '',
'PASSWO... | [
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319,
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0,
198,
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6407,
198,
51,
3620,
6489,
6158,
62,... | 2.133858 | 254 |
#!/usr/bin/env python3
# Author: Emmanuel Odeke <odeke@ualberta.ca>
# This example steps you through using resty & restAssured to save pickled/serialized
# data as a blob and then later re-using it in after deserialization.
# Sample usage might be in collaborative computing ie publish results from an expensive
# compu... | [
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345,
832,
1262,
1334,
88,
1222,
1334,
8021,
1522,
284,
3613,... | 3.613445 | 119 |
# dataframe: a data-frame implementation using method piping
#
# Copyright (C) 2016 Simon Dirmeier
#
# This file is part of dataframe.
#
# dataframe is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either versi... | [
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8,
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286,
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13,
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2,
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2,
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14535,
318,
1479,
... | 3.246753 | 385 |
# Copyright 2017 Google Inc. 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 applicable law or a... | [
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743,
407,
779,
428,
2393,
2845,
287,
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351,
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... | 2.563433 | 4,556 |
import warnings
import cupy
from cupy_backends.cuda.api import runtime
from cupy.cuda import device
from cupyx.jit import _cuda_types
from cupyx.jit._internal_types import BuiltinFunc
from cupyx.jit._internal_types import Data
from cupyx.jit._internal_types import Constant
from cupyx.jit._internal_types import Range
... | [
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... | 2.505391 | 742 |
#
str1 = " hello "
print(str1)
print(len(str1))
#
print(str1.strip())
print(len(str1.strip()))
#
print(str1.lstrip())
print(len(str1.lstrip()))
#
print(str1.rstrip())
print(len(str1.rstrip())) | [
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# -*- coding: utf-8 -*-
from .util import rms
from .util import moving_average
from .util import moving_avg_conv
from .util import moving_avg_fft
from .util import normalize
from .util import next_pow2
from .util import top_and_tail
from .util import extrapolate
from .util import nearest
from .util import deprecated
fr... | [
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... | 3.267241 | 116 |
from toontown.toonbase.ToonBaseGlobal import *
from panda3d.core import *
from direct.interval.IntervalGlobal import *
from direct.distributed.ClockDelta import *
from direct.distributed import DistributedObject
from toontown.toonbase import ToontownGlobals
from direct.directnotify import DirectNotifyGlobal
from direct... | [
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#!/home/a.ghaderi/.conda/envs/envjm/bin/python
# Model 2
import pystan
import pandas as pd
import numpy as np
import sys
sys.path.append('../../')
import utils
parts = 1
data = utils.get_data() #loading dateset
data = data[data['participant']==parts]
mis = np.where((data['n200lat']<.101)|(data['n200lat']>.... | [
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... | 2.266884 | 1,229 |
from redis import Redis
from redis import from_url
from rq import push_connection, pop_connection
from rq.job import Job
from functools import wraps
import times
from flask import Blueprint
from flask import current_app, url_for, abort
from flask import render_template
from rq import Queue, Worker
from rq import cancel... | [
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... | 2.511628 | 688 |
from acquisition.step import AcquisitionStep
from acquisition.stats import AcquisitionStatsDClient
from acquisition.move_step import AcquisitionMoveStep
from acquisition.delete_step import AcquisitionDeleteStep
from acquisition.batch_step import AcquisitionBatchStep
from acquisition.reinject_step import AcquisitionRein... | [
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... | 3.543779 | 217 |
# -*- coding: utf-8 -*-
# Copyright (c) 2017, Frappe Technologies Pvt. Ltd. and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
from frappe.model.document import Document
from frappe.contacts.address_and_contact import load_address_and_contact
| [
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... | 3.488372 | 86 |
from torch import nn
import numpy as np
import base.basenetwork as BaseN
from networks.cholesky import CholeskyBlock
| [
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] | 3.371429 | 35 |
import logging
from pydantic import BaseModel, Field
from typing import List
from .similar import important_words
from .server import app
_MAX_LENGTH = 2000
logger = logging.getLogger(__name__)
# Strange things happen with error handling when using alias - splitting up into two input models
| [
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47... | 3.822785 | 79 |
try:
# num = 10 / 0
number = int(input("Enter a number: "))
print(number)
# catch specific errors
except ZeroDivisionError as err:
print(err)
except ValueError:
print("Invalid input")
| [
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... | 2.746667 | 75 |
import numpy as np
def _yz(y, z, t, yout):
"""
Shared implementation of peaksampl and sumpeaks.
"""
y = np.asarray(y)
z = np.asarray(z)
t = np.asarray(t)
y = np.pad(y, [(0, 0)] * (y.ndim - 1) + [(1, 1)], constant_values=yout)
offset = np.argmax(np.abs(y), axis=-1)
ampl = np.tak... | [
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22... | 2.1537 | 1,581 |
# SPDX-License-Identifier: BSD-3-Clause
from amaranth import *
from amaranth.build import *
from .common import PS8Resource, MIOSet
__all__ = (
'PMUResource',
)
| [
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... | 2.328947 | 76 |
from django.test import TestCase
from django.urls import reverse
from rest_framework import status
from Dormroom.models import Dormroom
from SIFUser.mixins import AuthTestMixin
from StudentVillage.models import StudentVillage
from Washlist.jobs import reset_washlists
from Washlist.models.Templates import TemplateList... | [
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12... | 3.766667 | 120 |
from functools import partial
from typing import Any, Optional, List
from torchvision.prototype.transforms import ImageNetEval
from torchvision.transforms.functional import InterpolationMode
from ...models.mobilenetv3 import MobileNetV3, _mobilenet_v3_conf, InvertedResidualConfig
from ._api import WeightsEnum, Weight... | [
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422... | 2.593272 | 327 |
from django.urls import re_path
from django.views.generic import TemplateView
from .views import RegisterView, VerifyEmailView
urlpatterns = [
re_path(r'^$', RegisterView.as_view(), name='rest_register'),
re_path(r'^verify-email/$', VerifyEmailView.as_view(), name='rest_verify_email'),
# This url is use... | [
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... | 2.99422 | 346 |
from django.test import TestCase
# Create your tests here.
from crawler.download import *
from crawler.models import *
| [
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#!/usr/bin/python3
from urllib.request import urlopen
from xml.etree.ElementTree import parse
# Download the RSS feed and parse it
u = urlopen('http://planet.python.org/rss20.xml')
doc = parse(u)
# Extract and output tags of interest
for item in doc.iterfind('channel/item'):
title = item.findtext('title')
date = i... | [
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7... | 2.973684 | 152 |
"""dedupper_app URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-... | [
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13,
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... | 2.742173 | 543 |
from . import qtlib
QT_LIB = qtlib.QT_LIB
if QT_LIB == 'PyQt5':
from PyQt5.uic import *
| [
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... | 1.916667 | 48 |
#!/usr/bin/env python
# Copyright 2016 Google Inc.
#
# 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 ... | [
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198,
2,
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743,
407,
779,
428,
2393,
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28... | 3.134731 | 334 |
name=input('input your name:');
print('hello');
print(name.capitalize()); | [
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] | 3.318182 | 22 |
import pyperclip
import random
import string
| [
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] | 3.4 | 15 |
import unittest
import app
| [
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] | 3.111111 | 9 |
#!/usr/bin/env python
"""
rip_annotated_junctions.py
Non-reference/species verson of this script, no lift-over
Rips junctions from annotation files contained in
jan_24_2016_annotations.tar.gz, as described in annotation_definition.md.
Junctions are dumped to stdout, which we record as annotated_junctions.tsv.gz
in ru... | [
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27... | 1.98796 | 2,824 |
# -*- coding: utf-8 -*-
import numpy as np
def vmd( signal, alpha, tau, K, DC, init, tol):
'''
VMD
VMD
VMD u
omega2*pi/fs*omega
Input and Parameters:
signal - the time domain signal (1D) to be decomposed
alpha - the balancing parameter of the data-fidelity constraint
tau ... | [
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220,
... | 2.06285 | 2,498 |
import models
import stores
member1 =models.Member("ahmed",33)
member2 =models.Member("mohamed",30)
post1=models.Post("Post1", "Content1")
post2= models.Post("Post2", "Content2")
post3= models.Post("Post3", "Content3")
#member store
member_store=stores.MemberStore()
member_store.add(member1)
member_store.add(member... | [
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63... | 2.696629 | 178 |
#!/usr/bin/env python
'''
Author : Bhavyanshu Parasher
Email : bhavyanshu@codershangout.org
Description : shellfind.py is a Python command line utility which lets you look for shells on a site that the hacker must have uploaded. It considers all the shells available and tries all possibilities via dictionary match.
'''... | [
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# A string S consisting of N characters is considered to be properly nested if any of the following conditions is true:
# S is empty;
# S has the form "(U)" or "[U]" or "{U}" where U is a properly nested string; S has the form "VW" where V and W are properly nested strings.
# For example, the string "{[()()]}" is prope... | [
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import bpy
import random as rnd
from collections import Counter
import itertools as iter
feld_von, feld_bis = -4, 4
spielfeld_von, spielfeld_bis = feld_von-6, feld_bis+6
anz = int((feld_bis-feld_von)**3*.3)
spielfeld = {(rnd.randint(feld_von, feld_bis), rnd.randint(
feld_von, feld_bis), rnd.randint(feld_von, fe... | [
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... | 2.265176 | 626 |
from dataclasses import dataclass
import numpy as np
import xarray as xr
from power_perceiver.load_prepared_batches.data_sources import PV
from power_perceiver.load_prepared_batches.data_sources.prepared_data_source import XarrayBatch
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... | 3.131579 | 76 |
#encoding=utf8
#
import logging
import time
from logging.handlers import TimedRotatingFileHandler
#----------------------------------------------------------------------
if __name__ == "__main__":
logFilePath = "timed_test.log"
logger = logging.getLogger("YouLoggerName")
logger.setLevel(logging.INFO)
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6... | 2.216146 | 384 |
from operator import eq
# Static fields; an enumeration of instances:
PersonAction.compliment = PersonAction("person compliments")
PersonAction.informing = PersonAction("person gives information about the service order")
PersonAction.query = PersonAction("person wants to know about his/her order")
PersonAction.angry... | [
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6259... | 4.337349 | 83 |
# Tool Name :- MyServer
# Author :- LordReaper
# Date :- 13/11/2018 - 9/11/2019
# Powered By :- H1ckPro Software's
import sys
import os
from time import sleep
from core.system import *
if len(sys.argv)>1:
pass
else:
print ("error : invalid arguments !!")
print ("use : myserver --help for more information")
s... | [
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... | 2.251212 | 2,269 |
""" test gen_epub. """
from tmx2epub.gen_epub import gen_epub
def test_gen_epub2():
""" test_gen_epub2. """
from pathlib import Path
infile = r"tests\2.tmx"
stem = Path(infile).absolute().stem
outfile = f"{Path(infile).absolute().parent / stem}.epub"
assert gen_epub(infile, debug=True) == out... | [
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... | 2.401408 | 142 |
import json
import time
import random
import logging
import requests
import os
logging.basicConfig(level=logging.INFO)
base_url = os.getenv('BASE_URL', 'http://localhost') + ':' + os.getenv(
'DAPR_HTTP_PORT', '3500')
PUBSUB_NAME = 'order_pub_sub'
TOPIC = 'orders'
logging.info('Publishing to baseUR... | [
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24... | 2.28754 | 313 |
# -*- coding: utf-8 -*-
from linepy import *
from datetime import datetime
from time import sleep
from humanfriendly import format_timespan, format_size, format_number, format_length
import time, random, sys, json, codecs, threading, glob, re, string, os, requests, subprocess, six, ast, pytz, urllib, urllib.parse
#===... | [
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62... | 2.94186 | 688 |
def send(self, channel_id, payload):
# Fanout emitter
return self.connection.publish(channel_id, payload)
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1... | 2.490196 | 51 |
#!/usr/bin/env python
from btmacd.binance_fetcher import BinanceFetcher
if __name__ == "__main__":
main()
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220... | 2.425532 | 47 |
# Copyright 2018 The TensorFlow Probability Authors.
#
# 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 o... | [
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... | 2.58637 | 9,494 |
from torch import nn as nn
from .base_model import BaseModel
from ..nn.conv2d import DenseConv2d
from ..nn.linear import DenseLinear
__all__ = ["Conv2", "conv2", "Conv4", "conv4"]
def conv2() -> Conv2:
return Conv2()
def conv4() -> Conv4:
return Conv4()
# TODO: define pretrain etc.
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1... | 2.564103 | 117 |
import argparse
import ConfigParser
import sys, os, re
import biana
try: from biana import *
except: sys.exit(10)
import methods_dictionaries as methods_dicts
def generate_network(options):
"""
Generates a protein-protein interaction network extracting information from BIANA.
"""
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