content stringlengths 5 1.05M |
|---|
# This file is part of the GBI project.
# Copyright (C) 2013 Omniscale GmbH & Co. KG <http://omniscale.com>
#
# 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/licens... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from django.test import TestCase, TransactionTestCase
from django.test import Client
from django.contrib.auth.models import User
from trading.controller import axfd_utils, useraccountinfomanager
from trading.models import *
from tradeex.controllers.crypto_utils import CryptoUt... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
import dataclasses
from logging import Logger
from typing import Any, Dict, List, O... |
class ProjectLocationSet(APIObject,IDisposable,IEnumerable):
"""
An set that contains project locations.
ProjectLocationSet()
"""
def Clear(self):
"""
Clear(self: ProjectLocationSet)
Removes every project location from the set,rendering it empty.
"""
pass
def Contains(self,item):
... |
import json
import requests
from ..settings import Settings
class Client:
settings = Settings()
def __init__(self,session=None):
if session is None:
self.session = requests.Session()
else:
self.session = session
self.session.headers.update({'apikey':self.settings... |
'''
Page Rank
Implemented page rank program based on fact that a website is more
important if it is linked to by other important websites using recursive
mathematical expression and random surfer probability distribution.
'''
# Importing Libraries
import os
import random
import re
import sys
import math
# De... |
# Author: Kimia Nadjahi
# Some parts of this code are taken from https://github.com/skolouri/swgmm
import numpy as np
import ot
# import HilbertCode_caller
# import swapsweep
def mOT(x, y, k, m):
n = x.shape[0]
if k < int(n / m):
inds1 = np.split(np.random.permutation(n)[: int(n / m) * m], int(n / m... |
from unittest import TestCase
from apps.algorithms.mean import Mean
from apps.algorithms.standart_deviation import StandartDeviation
from apps.algorithms.z_value import ZValue
__author__ = 'cenk'
class ZValueTest(TestCase):
def setUp(self):
pass
def test_algorithm_with_list(self):
data_lis... |
from regression_tests import *
class TestUpxDetectionSegfault(Test):
settings = TestSettings(
tool='fileinfo',
input='sample.ex',
args='--json'
)
# Ensures that PE files without sections do not crash fileinfo upon
# execution.
# See https://github.com/avast/retdec/issues/82... |
from typing import Callable
import numpy as np
from pandas import DataFrame
from .converter import ConverterAbs, interpret
from .utils import INTER_STR_SEP
class VarReplace(ConverterAbs):
"""Replaces the variable with some formula
Transform all occurrences of the variable varname in the model with the
... |
import math
f = open("input.txt", "r")
data = []
pattern = [0, 1, 0, -1]
for char in f.read():
data += [int(char)]
data *= 10000
outputOffset = ""
for i in range(7):
outputOffset += str(data[i])
outputOffset = int(outputOffset)
for loop in range(100):
for i in range(outputOffset + 9):
total... |
##############################################################################
#
# Copyright (c) 2009 Zope Foundation and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOF... |
"""
System-level calls to external tools, directory creation, etc.
Authors:
Thomas A. Hopf
"""
import os
from os import path
import tempfile
import subprocess
import urllib.request
import shutil
import requests
class ResourceError(Exception):
"""
Exception for missing resources (files, URLs, ...)
"""... |
import pytest
from elkconfdparser import errors
from elkconfdparser import parser
class TestDropStack:
@pytest.mark.parametrize(
"input_root, input_stack, expected_root, expected_stack",
[
({}, [], {}, []),
({}, [1], {}, [1]),
({}, [2, 1], {1: [2]}, []),
... |
from itertools import chain, islice, starmap, cycle
from operator import add
def drop(n,xs): return islice(xs,n,None)
def take(n,xs): return list(islice(xs,n))
class iself:
def __init__(self, xs_ctor, nvp_max=4):
self.xs_ctor=xs_ctor; self.nvp_max=nvp_max
def __iter__(self):
buf = []
ref_ivp = [0]; n ... |
def facto_iterative(n):
fac = 1
for i in range(n):
fac = fac * (i+1)
return fac
number = int(input("Enter some value\n"))
print(facto_iterative(number))
def facto_recursive(n):
if n ==1:
return 1
else:
return n * facto_recursive(n-1)
number = int(input("Enter some value\n"... |
from django.conf.urls import url, include
from website.views import index
urlpatterns = [
url(r'^$', index, name='index')
]
|
#!/usr/bin/env python
"""Pipeline script for data pre-processing."""
import os
import glob
import numpy as np
from ugali.analysis.pipeline import Pipeline
import ugali.preprocess.pixelize
import ugali.preprocess.maglims
from ugali.utils.logger import logger
components = ['pixelize','density','maglims','simple','spl... |
#!/usr/bin/env python
import logging
import warnings
import numpy as np
from numpy.lib.ufunclike import isposinf
from scipy.stats import chi
EPS = 1e-8
class MultiVariateNormalDistribution(object):
def __init__(self, shift, scale, cov, dim=None):
# main components
self.shift = shift
self... |
import mongoengine
from .trace import WrappedConnect
# Original connect function
_connect = mongoengine.connect
def patch():
setattr(mongoengine, "connect", WrappedConnect(_connect))
def unpatch():
setattr(mongoengine, "connect", _connect)
|
from sklearn.cluster import KMeans
from collections import Counter
import numpy as np
import cv2 #for resizing image
def get_dominant_color(image, k=4, image_processing_size = None):
"""
takes an image as input
returns the dominant color of the image as a list
dominant color is found by running k ... |
#!/usr/bin/env python
# Copyright (c) 2015-2021 Vector 35 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, mo... |
"""Cart-related forms and fields."""
from django import forms
from django.conf import settings
from django.core.exceptions import NON_FIELD_ERRORS, ObjectDoesNotExist
from django.utils.translation import npgettext_lazy, pgettext_lazy
from django_countries.fields import LazyTypedChoiceField, countries
from ..core.excep... |
#!/usr/bin/env python
# Copyright 2008 by Jonathan Tang
# 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 ... |
import subprocess
import sys
import pkg_resources
def get_bin_path(package_name: str, name: str) -> str:
bin_name = name
if sys.platform == "win32":
bin_name = bin_name + ".exe"
return pkg_resources.resource_filename(package_name, f"bin/{bin_name}")
import pkg_resources
def multiply_ext(lhs: ... |
"""
"""
import copy
def insert_sort(data):
result = copy.deepcopy(data)
for i in range(1, len(result)):
key = result[i]
left = i - 1
while left >= 0 and result[left] > key:
result[left + 1] = result[left]
left -= 1
result[left + 1] = key
return resu... |
import requests, os
url = "https://ftp.ncbi.nlm.nih.gov/refseq/H_sapiens/annotation/GRCh38_latest/refseq_identifiers/GRCh38_latest_genomic.fna.gz"
r = requests.get(url, allow_redirects=True)
open("GRCh38_latest_genomic.fna.gz", "wb").write(r.content)
os.system("gzip -d GRCh38_latest_genomic.fna.gz")
|
from typing import IO, Tuple
import cv2 as cv
import numpy as np
from ..ModelBase import Justify, rgb
from ..AbstractPlot import AbstractPlot
from ..Typing import *
def _pos(pos: POS_T) -> Tuple[int, int]:
return (int(pos[0]*10), int(pos[1]*10))
def _pts(pts: PTS_T):
res = []
for pos in pts:
r... |
import logging
from rich.logging import RichHandler
FORMAT = "%(message)s"
logging.basicConfig(level="INFO", format=FORMAT, datefmt="[%X]", handlers=[RichHandler()])
log = logging.getLogger("rich")
|
import pandas as pd
import h5py
from collections import defaultdict
from tqdm import tqdm
import sys
from pathlib import Path
import warnings
warnings.filterwarnings('ignore')
def die(message, status=1):
"""Print an error message and call sys.exit with the given status, terminating the process"""
print(messag... |
from .process import Command as ProcessCommand
from .sample_video import Command as SampleCommand
class Command:
name = "video_process"
help = "sample video into images and process the images"
def add_basic_arguments(self, parser):
SampleCommand().add_basic_arguments(parser)
ProcessComman... |
import json
import logging
import pytest
AED_CLOUD_ACTIVITY_EVENT_DICT = json.loads(
"""{
"url": "https://www.example.com",
"syncDestination": "TEST_SYNC_DESTINATION",
"sharedWith": [{"cloudUsername": "example1@example.com"}, {"cloudUsername": "example2@example.com"}],
"cloudDriveId": "TEST_CLOUD... |
from django.contrib import admin
from django.utils.translation import gettext_lazy as _
from playexo.models import Answer, HighestGrade
class EvalListFilter(admin.SimpleListFilter):
# Human-readable title which will be displayed in the
# right admin sidebar just above the filter options.
title = _('Eval... |
#!/usr/bin/python3.6
# -*- coding: utf-8 -*-
# @Time : 2021/5/20 下午11:47
# @Author : Joselynzhao
# @Email : zhaojing17@forxmail.com
# @File : DataFrame.py
# @Software: PyCharm
# @Desc :
|
# libraries
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import pandas as pd
import os,sys
import matplotlib.dates as mdates
import matplotlib as mpl
from matplotlib.colors import ListedColormap
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
from matplotlib.offsetbox import Anc... |
# Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2018 Dan Tès <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free S... |
from usure.preprocessing.cleaning.twittercorpuscleaner import TwitterCorpusCleaner
def can_remove_all_id_test():
cleaner = TwitterCorpusCleaner()
text = "\"406449856862232577\",\"\"Las despedidas no deberian existir\"\""
cleaned_text = "\"\"Las despedidas no deberian existir\"\""
procesed_text = clean... |
# Exercício Python 067
# Mostre a tabuada de varios números, um de cada vez, para cada valor digitado pelo usuário
# Programa interrompido quando N for negativo
while True:
print('=-=' * 14)
n = int(input('Você quer saber a tabuada de qual valor? '))
if n < 0:
break
contador = 0
while conta... |
# Generated by Django 2.1.1 on 2018-09-19 19:46
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('custom', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='riskfield',
... |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"say_hello": "00_core.ipynb",
"say_bye": "00_core.ipynb",
"optimize_bayes_param": "01_bayes_opt.ipynb",
"ReadTabBatchIdentity": "02_tab_ae.ipynb",
"TabularPandasIdentity": ... |
import tensorflow as tf
import numpy as np
print(tf.__version__)
from tensorflow.contrib.learn.python.learn.datasets import base
IRIS_TRAINING="iris_training.csv"
IRIS_TEST="iris_test.csv"
traning_set=base.load_csv_with_header(filename=IRIS_TRAINING,features_dtype=np.float32,target_dtype=np.int)
test_set=base.load... |
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
# --------------------------------------------------------------------------
def cf_... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import argparse
import logging
from collections import namedtuple
from flask import Flask
from flask_cors import CORS
from threading import Thread
from builtins import ... |
import os
import tornado.web
import tornado.ioloop
from tornado.options import define, options, parse_command_line
from tornado_face.face.views import RegisterHandler, InitDbHandler, LoginbHandler
define('port', default=8090, type=int)
def make_app():
return tornado.web.Application(handlers=[
(r'/regis... |
import cv2
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import glob
from IPython.display import clear_output
from numpy import expand_dims
from keras.preprocessing.image import load_img
from keras.preprocessing.image import img_to_array
from keras.preprocessing.image import ImageDataGenerator... |
from typing import Dict, List, Optional, Tuple, Union
import numpy as np
from key_door import constants, wrapper
try:
import cv2
import matplotlib
from matplotlib import cm
from matplotlib import pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
except:
raise AssertionError... |
# @file: Individual that contains the 'DNA' for each individual in the population
# @author: Daniel Yuan
from random import randint, uniform
class Individual(object):
def __init__(self, vector, search_range, dimension=None):
# Ensure that Indidual has
assert(search_range and (vector or dimension))
self.... |
#!/usr/bin/python
#coding=utf8
import pandas as pd
def readBigData(filePath,delim,header=None):
reader = pd.read_csv(filePath,header=None,delimiter=delim, iterator=True)
loop = True
chunkSize = 100000
chunks = []
while loop:
try:
chunk = reader.get_chunk(chunkSize)
c... |
#!/usr/bin/env python
def gcd_mod(a, b):
'''
Divison based version.
From: The Art of Computer Programming, Volume 2, pages 319-320
'''
while b > 1:
# t holds the value of b while the next remainder b is being calculated.
t = b
b = a % b
a = t
return a
def gcd_... |
#!/usr/bin/env python3
'''
This script ...
'''
import argparse
# https://docs.python.org/3/library/argparse.html
import itertools
import os
import screed
import networkx as nx
from tqdm import tqdm
from panprimer.utils import \
load_graph, \
mask_nodes, \
extract_color, \
neighbors, \
orient_nod... |
class Solution(object):
def missingNumber(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
# 0,1,...,n-1,n，sum of arrary (if no missing number) will be sum = n*(n+1)/2
# delete all existing nums will leave the number that is missing from the array
n = le... |
from .tikzeng import *
#define new block
def block_2ConvPool( name, botton, top, s_filer=256, n_filer=64, offset="(1,0,0)", size=(32,32,3.5), opacity=0.5 ):
return [
to_ConvConvRelu(
name="ccr_{}".format( name ),
s_filer=str(s_filer),
n_filer=(n_filer,n_filer),
offset=offset... |
import sys
class MyStack:
"""push-down スタッククラス"""
def __init__(self, stacksize):
"""コンストラクタ（初期化）"""
# フィールド
self.mystack = [ ' ' for i in range(stacksize) ]
self.top = -1;
def pushdown(self, data):
"""プッシュダウン"""
self.top += 1
... |
"""Merkle Tree backed by LevelDB.
Operates (and owns) a LevelDB database of leaves which can be updated.
"""
import plyvel
import math
import struct
import merkle
def _down_to_power_of_two(n):
"""Returns the power-of-2 closest to n."""
if n < 2:
raise ValueError("N should be >= 2: %d" % n)
log_n... |
#!/usr/bin/python
# coding=utf-8
print('{0:.3f}'.format(1.0/3))
print('{0:_^11}'.format('kai'))
print(r'\'{name}\' wrote\n "{book}"'.format(name='kai', book='good book'))
# print('kai', end=' ') //python3
# print('is')
# print('good man')
s = '''This is Multi Line String
Second Line
Third Line'''
print(s)
number ... |
import constants as c
import logging
import rosbag
import os
import multiprocessing
topics_to_check = set([
'/TactileSensor4/Accelerometer',
'/TactileSensor4/Dynamic',
'/TactileSensor4/EulerAngle',
'/TactileSensor4/Gyroscope',
'/TactileSensor4/Magnetometer',
'/TactileSensor4/StaticData',
'/... |
import setuptools
__version__ = '1.0'
setuptools.setup(
name="msfbe",
version=__version__,
url="https://github-fn.jpl.nasa.gov/methanesourcefinder/msf-be.git",
author="Caltech/Jet Propulsion Laboratory",
description="MSF-BE API.",
long_description=open('README.md').read(),
package_dir={... |
#!/usr/bin/env python
# -*- coding: iso-8859-15 -*-
# -*- Mode: python -*-
from lib.common import *
################################################################
# Code borrowed and adapted from Impacket's rpcdump.py example #
################################################################
class RpcDump(object):
... |
@Counter
def say_hello():
print("hello")
say_hello()
say_hello()
say_hello()
say_hello()
assert say_hello.count == 4
|
"""Unit test package for xlavir."""
|
import numpy as np
from pathlib import Path
import pandas as pd
from tensorflow.keras.models import load_model
import sys
import inspect
cpath = Path(inspect.getfile(sys.modules[__name__])).resolve().parent
def transform_features(x, f="cos"):
if f == "cos":
return np.cos(x)
elif f == "sin":
re... |
from abc import ABC #Abstract Base Classes
from collections.abc import MutableSequence
class Playlist(MutableSequence):
filmes = Playlist()
|
import yaml
import json
import os
from autoremovetorrents import logger
from autoremovetorrents.task import Task
from autoremovetorrents.compatibility.open_ import open_
def test_task(qbittorrent_mocker):
# Loggger
lg = logger.Logger.register(__name__)
# Set root directory
root_dir = os.path.join(os.p... |
a, b, c = list(map(int, input().split()))
tot = 0
if abs(a - b) < abs(c - b):
tot = abs(c - b)
else:
tot = abs(a - b)
print(tot - 1)
|
import sys
import getopt
from jiaowu import JiaoWu
if __name__=='__main__':
username = input('学号: ')
password = input('统一认证密码: ')
jiaowu = JiaoWu(username, password)
# 登录
if jiaowu.login():
print('登录成功！')
else:
print('登录失败！请检查用户名和密码')
exit()
# 查询课表
year = ... |
# -*- coding: utf-8 -*-
# Generated by Django 1.10.6 on 2017-04-16 00:36
from __future__ import unicode_literals
import ckeditor.fields
from django.db import migrations, models
import django.db.models.deletion
import school.options.tools
class Migration(migrations.Migration):
dependencies = [
('website'... |
#!/usr/bin/python
import sys
import pickle
sys.path.append("../tools/")
import numpy as np
import matplotlib.pyplot as plt
from functions import *
from feature_format import featureFormat, targetFeatureSplit
from tester import dump_classifier_and_data
### Task 1: Select what features you'll use.
### features_list is... |
class Solution:
def maxNumOfSubstrings(self, s: str) -> List[str]:
start, end = {}, {}
for i, c in enumerate(s):
if c not in start:
start[c] = i
end[c] = i
def checkSubstring(i):
curr = i
right = end[s[curr]]
... |
import asyncio
import datetime
import gettext
import math
import os
import random
import pyrogram
import speech_recognition
import time
import youtube_dl
from datetime import timedelta
from pyrogram.raw import types as raw_types
from pyrogram.raw.functions import phone
from pyrogram import types
from pyrogram.raw imp... |
from django.db import models
# Create your models here.
class Todo(models.Model):
ident = models.CharField(max_length=50, primary_key=True)
desc = models.CharField(max_length=500)
group = models.IntegerField(default=0)
schedule_date = models.DateField(blank=False)
finish_date = models.DateField(nul... |
import argparse
from mmap import *
from pathlib import Path
from ctypes import *
from .common import *
class DisplayVariable(BigEndianStructure):
_pack_ = 1
_fields_ = [("valid", c_uint8),
("type", c_uint8),
("sp_word", c_uint16),
("desc_len_words", c_... |
"""
Copyright (c) 2016-2020 The scikit-optimize developers.
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
1. Redistributions of source code must retain the above copyright notice, this
list of con... |
_base_ = '../faster_rcnn/faster_rcnn_x101_64x4d_fpn_1x_coco.py'
model = dict(
roi_head=dict(
bbox_head=dict(
num_classes=22
)
)
)
dataset_type = 'CaltechDataset'
classes = ('bobcat', 'opossum', 'empty', 'coyote', 'racoon', 'bird', 'dog', 'cat', 'squirrel', 'rabbit', 'skunk', 'lizard', 'rodent',... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# CarMonitor EnviroPHAT Polling Thread and LED Interface
#
# Author: Patrick Schmidt <patrick@ealp-net.at>
# License: Apache License, Version 2.0
#
# See: https://shop.pimoroni.de/products/enviro-phat
# See: https://learn.pimoroni.com/tutorial/sandyj/getting-started-with-env... |
# Copyright 2014 Facebook, Inc.
# You are hereby granted a non-exclusive, worldwide, royalty-free license to
# use, copy, modify, and distribute this software in source code or binary
# form for use in connection with the web services and APIs provided by
# Facebook.
# As with any software that integrates with the Fa... |
from twozerofoureight import *
game_board = board()
game_board.generate_newpiece("start")
game_board.generate_newpiece("start")
game_board.print_board("normal")
def move(direction):
original_board = list(game_board.board_list)
if direction == "left":
game_board.move_left_right("left")
elif direction == "right"... |
# -*- coding: utf-8 -*-
import unittest
import httpreplay
class TestHttp(unittest.TestCase):
def test_request(self):
r = httpreplay.interpret_http("POST / HTTP/1.0\r\nConnection: close\r\n\r\n1234", True)
self.assertEqual(r.body, "1234")
|
import sys
import re
import random
from libs.playerCommandsLib import Commands
from libs.playerCommandsLib import playerCommand
from libs.decs.itemDecs import *
from libs.decs.eventDecs import *
from libs.decs.NpcDecs import *
from libs.decs.playerDec import *
from libs.decs.structureDecs import *
from li... |
import os
cur_dir = os.path.dirname(os.path.abspath(__file__))
num_questions = 0
with open(f"{cur_dir}/input") as f:
cur_group = set()
initialized = False
for line in f:
if line == "\n":
num_questions += len(cur_group)
cur_group = set()
initialized = False
... |
from .multisource_dataset import MultiSourceDataset
from .streaming_multisource_dataset import StreamingMultiSourceDataset
from .multilingual_translation_task import MultilingualTranslationTask
|
""" An example of the 'science' theme. """
import numpy as np
import matplotlib.pyplot as plt
plt.style.use(['science'])
x = np.linspace(0.75, 1.25, 201)
def model(x, p):
return x ** (2 * p + 1) / (1 + x ** (2 * p))
fig, ax = plt.subplots()
for p in [10, 15, 20, 30, 50, 100]:
ax.plot(x, model(x, p), labe... |
from django.shortcuts import render
# Create your views here.
from rest_framework import viewsets
from .serializers import (
TmDataSerializer,
CycleSerializer
)
from .models import (
Tm,
Cycle
)
class TmViewSet(viewsets.ModelViewSet):
serializer_class = TmDataSerializer
queryset = Tm.objects.a... |
import pygame
from modules import basic_classes
from modules import basic_globals
from modules.gamemaker_functions import *
from games.grarantanna import grarantanna_gun
import os
class Player(basic_classes.UpdatableObj):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.... |
#!/usr/bin/python
# A tool to quickly generate large skip, load, xfail list for Rally in case of customized cloud policies
#
# How to use:
# 1. Prepare a list of testcases you want to include (e.g. rally verify show | grep failed > cases.list)
# 2. Prepare a complete list of testcases with ids (cd ~/.rally/verifica... |
import neuralnet as n
import numpy as np
net = n.NeuralNet([2, 4, 1])
net.train(np.array([[0, 1]]), np.array([[1]]))
|
import collections
import functools
import typing
from hat.event.common.data import EventType
class Subscription:
"""Subscription defined by query event types"""
def __init__(self,
query_types: typing.Iterable[EventType],
cache_maxsize: typing.Optional[int] = 0):
se... |
# EPAN_NI.py (flowsa)
# !/usr/bin/env python3
# coding=utf-8
"""
Projects
/
FLOWSA
/
Years = 2012
Eliminated all columns with fraction in the title.
"""
import io
import pandas as pd
import xml.etree.ElementTree as ET
from esupy.remote import make_url_request
def url_file(url):
url_array = url.split("get/")
u... |
from __future__ import division
# LIBTBX_SET_DISPATCHER_NAME prime.viewstats
'''
Author : Uervirojnangkoorn, M.
Created : 9/19/2014
Description : View convergence and other stats for post-refinement.
'''
import matplotlib.pyplot as plt
import sys
import numpy as np
if len(sys.argv)==1:
print 'Use prime.view... |
import os
import sys
sys.path.append(
os.path.normpath(
os.path.join(os.path.abspath(__file__), "..", "..", "..", "common")
)
)
from env_indigo import *
indigo = Indigo()
indigo.setOption("timeout", "2000")
t = indigo.loadMolecule(
"N(C1N=CC=C2C=1C=C(C1C=CC=CC=1)C(C1C=CC(C3(NC(=O)OC(C)(C)C)CC4(OC... |
from recoder.embedding import AnnoyEmbeddingsIndex
import pytest
import numpy as np
def test_build_index():
embeddings_mat = np.random.rand(1000, 128)
index = AnnoyEmbeddingsIndex(embeddings=embeddings_mat)
index.build(index_file='/tmp/test_embeddings')
index_loaded = AnnoyEmbeddingsIndex()
index_loaded... |
#!/usr/bin/env python
"""
Contains the proxies.BaseProxy class definition for all inherited proxy
classes
Please note that this module is private. The proxies.BaseProxy class is
available in the ``wpipe.proxies`` namespace - use that instead.
"""
from .core import numbers, datetime, si, in_session, try_scalar
__all__... |
import json
import os
import sys
#usr_part = "\n".join([e for i,e in enumerate(utterances) if i%2==0])+"\n"
global DOT_CHAR
DOT_CHAR = "@DOT"
def historify_src(utterances, even=True):
#helper function to add the entire dialogue history as src
parity = 0 if even else 1
assert set([bool(utt.strip()) == ... |
from typing import Mapping, Tuple, Union
from uqbar.containers import UniqueTreeList
from .Attachable import Attachable
from .Attributes import Attributes
class TableCell(UniqueTreeList, Attachable):
"""
A Graphviz HTML table.
::
>>> import uqbar.graphs
>>> table_cell = uqbar.graphs.Ta... |
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf
import time
import utils
import datasets
from NetworkLib import GlimpseNet, LocationNet, ContextNet, ClassificationNet, RecurrentNet, BaselineNet
from visualizer import *
from config import Config
class DRAM(object):
def __init__(self):
... |
from collections import OrderedDict
TARGETS = OrderedDict([('2.5', (2, 5)),
('2.6', (2, 6)),
('2.7', (2, 7)),
('3.0', (3, 0)),
('3.1', (3, 1)),
('3.2', (3, 2)),
('3.3', (3, 3)),
... |
# Testoob, Python Testing Out Of (The) Box
# Copyright (C) 2005-2006 The Testoob Team
#
# 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
#
# Un... |
#! /usr/bin/env python3
from sim import Simulation
if __name__ == "__main__":
sim = Simulation(ants=5, x=100, y=100, num_rivers=20)
sim.run()
|
def Golden_eagle(thoughts, eyes, eye, tongue):
return f"""
{thoughts} ,:=+++++???++?+=+=
{thoughts} :+?????\$MUUUUUUUUUMO+??~
{thoughts} :+I??\$UUUUMUMMMMUUMUMUUMUUMM???I+:
{thoughts} ... |
num_rows = int(input())
matrix = [input().split(", ") for _ in range(num_rows)]
first_diag = [matrix[i][i] for i in range(len(matrix))]
second_diag = [matrix[i][-(i + 1)] for i in range(len(matrix))]
print(f"First diagonal: {', '.join(first_diag)}. Sum: {sum(map(int, first_diag))}")
print(f"Second diagonal: {', '.jo... |
import random
from time import sleep
itens = ["Rock", "Paper", "Scissors"]
computer = random.choice(itens)
print("-"*24)
print("Scissors, Paper and Rock")
print("-"*24)
print("Your Options")
print("[1] Rock\n[2] Paper\n[3] Scissors")
player = int(input("Choose one option: "))
print("-"*17)
print("Sci... |
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