text stringlengths 3.07k 12.6k |
|---|
"""
Interface for Tar format
"""
# disable import outside top-level warnings
# pylint: disable=C0415
# disable spelling warnings
# pylint: disable=C0401
import tarfile
from collections.abc import Mapping
from contextlib import contextmanager
from os import listdir
from os.path import exists, splitext, basename
from i... |
#!/bin/env python
#Header
from pyfiglet import Figlet
f = Figlet(font='slant')
print('Script Created by : ')
print(f.renderText('gaurav'))
sound = int(input("Do you want sound : 1 for yes , 2 for no : "))
sound = 0 if sound == 2 else 1
print('****************************************************')
if sound :
print(... |
from dataclasses import dataclass, field
from datetime import datetime
from notion.client import NotionClient
from notion.collection import CollectionView, CollectionRowBlock, NotionDate
from utils import MetaSingleton
from typing import Dict, List, Set
import logging
logger = logging.getLogger(__name__)
def check_a... |
from urllib import parse
from celery import shared_task, states
from celery.canvas import group
from django.conf import settings
from django.db import transaction
from extras.tasks import CurrentUserTaskMixin
from registry.models import CatalougeService, WebFeatureService, WebMapService
from registry.models.metadata i... |
from ninja import NinjaAPI,Form,Router
from ninja import Schema, Path
import datetime
from django.contrib.auth.models import User
router= Router(tags=["app_api"])
@router.get("/add")
def add(request,a:int,b:int,c:int):
return {"resutlt": a+b}
#相同接口多种方法
@router.api_operation(["GET","POST","DELETE"],"/user/{user_... |
# Copyright 2014, 2015 SAP SE.
#
# 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 in writing,
#... |
## /elf/search_by_text.py
# Built-ins
import os
import warnings
import datetime
import threading
# Package
import __init__
from elf import utils
from elf.webio import get_soup
from elf.webio import download_page
from elf.parsing import parsetable
warnings.warn('EDGAR search-by-text can only search 3 years back. Use... |
import typing
from pathlib import Path
from UniGrammarRuntime.backends.python.parglare import ParglareParserFactory, toolGitRepo
from UniGrammarRuntime.DSLMetadata import DSLMetadata
from UniGrammarRuntime.grammarClasses import GLR, LR
from UniGrammarRuntime.ParserBundle import InMemoryGrammarResources
from UniGrammar... |
#!/usr/bin/env python
import sys
from prose2poetry.corpora import ProseCorpus, GutenbergCouplets, PFCouplets, pairs
from prose2poetry.couplet_score import CoupletScorer
from prose2poetry.generators import MarkovChainGenerator, LSTMModel1
from prose2poetry.vector_models import FasttextModel
import argparse
import numpy... |
# NEON AI (TM) SOFTWARE, Software Development Kit & Application Framework
# All trademark and other rights reserved by their respective owners
# Copyright 2008-2022 Neongecko.com Inc.
# Contributors: <NAME>, <NAME>, <NAME>, <NAME>,
# <NAME>, <NAME>, <NAME>, <NAME>
# BSD-3 License
# Redistribution and use in source and ... |
# Switching to python... sorry. Haskell was too much to handle.
import re
import copy
# 11573 for A too low
# 17734 for A too low
# 17738 for A was right
# 17739 for A too high
def parse(text):
battle = []
faction = None
counter = dict()
for line in text.splitlines():
if line == "": continue
if line =... |
from functools import lru_cache
from django.core.exceptions import ObjectDoesNotExist
from django.db import models
from django.db.models.constants import LOOKUP_SEP
from treebeard.mp_tree import MP_Node
from wagtail.core import hooks
from wagtail.core.models import Page
from .field_adapters import adapter_registry
fr... |
# SPDX-License-Identifier: MIT
# Copyright (c) 2021 anvilistas
from uuid import UUID, uuid4
import anvil.users
from anvil.tables import app_tables, in_transaction, order_by
from anvil_extras import logging
from ..historic.events import Change, Creation
from ..historic.exceptions import (
AuthorizationError,
... |
#!/user/bin/env python
"""Python binary to train COVID-19 epidemic model with single CPU."""
from typing import Text
from absl import app
from absl import flags
import io_utils
import json
import logging
import numpy as np
import os
import resample
# pylint: disable=import-not-at-top
os.environ["TF_CPP_MIN_LOG_LEVEL"] ... |
#!/usr/bin/env python3
#-*- coding: utf-8 -*-
# Copyright 2017, National University of Ireland and The James Hutton Insitute
# Author: <NAME>
#
# This code is part of the riboSeed package, and is governed by its licence.
# Please see the LICENSE file that should have been included as part of
# this package.
import pkg... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.io import loadmat
#Be careful with the file path!
data = loadmat('data/hw4.mat')
from sklearn.preprocessing import OneHotEncoder
encoder = OneHotEncoder(sparse=False, categories='auto')
y_onehot = encoder.fit_transform(data['y'])
def s... |
"""
Module about Pauli (and I) matrices.
"""
import numpy as np
from numpy import zeros_like
from scipy.linalg import svd
s0 = np.array([[1, 0], [0, 1]])
s1 = np.array([[0, 1], [1, 0]])
s2 = np.array([[0, -1j], [1j, 0]])
s3 = np.array([[1, 0], [0, -1]])
s0T = s0.T
s1T = s1.T
s2T = s2.T
s3T = s3.T
pauli_dict = {0: s... |
import json
import torch
import pandas as pd
import numpy as np
from pathlib import Path
from itertools import repeat
from collections import OrderedDict
from PIL import Image
from scipy.special import softmax
def stat_cuda(msg):
print('--', msg)
print('allocated: %dM, max allocated: %dM, cached: %dM, max cac... |
import json
import re
import subprocess
import yaml
import typer
from pathlib import Path
from typing import Optional, Dict, List
from textwrap import dedent
from .console import console
def create_initial_env_specs(
env_name: str, channel: Optional[str] = None, packages: Optional[List[str]] = None
) -> Dict:
... |
import os
import requests
import json
from rich import print
from rich.console import Console
import webbrowser
from tqdm import tqdm
def clear():
if os.name == 'nt':
os.system("cls")
else:
os.system("clear")
def strip(x):
return x.strip()
def manually_filter(publications):
con... |
# -*- coding: utf-8 -*-
import os
import base64
import random
import string
import functools
from datetime import datetime, timedelta
import jinja2
import jsonschema
from pony.orm import db_session
from werkzeug.exceptions import HTTPException, Forbidden, UnprocessableEntity
from flask import request, current_app, js... |
#!/usr/bin/python3
"""
Get prior probabilities for event type and language links.
Query Wikidata using SPARQL.
1) Prior probability of event type P(Et): # events of type T / total # of events
2) Prior probability of lanugage link P(Ll): # ll to language L / total # of language links to all language
Also need:
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import argparse, os, glob, tqdm, zipfile, webrtcvad
import soundfile as sf
from get_vad import *
class segmentor():
def __init__(self,merge_margin,cut_margin,res_path,vad_setting=0):
self.merge_margin=merge_margin
self.cut_margin=cut_margin
s... |
import weakref
from AppKit import *
from vanillaBase import VanillaBaseObject, _breakCycles
from nsSubclasses import getNSSubclass
_edgeMap = {
"left" : NSMinXEdge,
"right" : NSMaxXEdge,
"top" : NSMinYEdge,
"bottom" : NSMaxYEdge
}
try:
NSPopoverBehaviorApplicationDefined
except NameError:
NSPo... |
import atexit
import copy
import json
import logging
import os
import select
import signal
import subprocess
import sys
import threading
DEFAULT_OPTIONS = {
'formatid': 'gen7randombattle',
'p1': {
'name': 'p1',
},
'p2': {
'name': 'p2',
},
}
def _timeout():
sys.stderr.write('Timeout occurred while... |
import os
from os.path import join as pjoin, abspath
import grp
import pwd
import sys
from distutils.util import spawn
from distutils.version import StrictVersion, LooseVersion
from distutils.dir_util import mkpath
from distutils.file_util import copy_file
import distutils.core
from tempfile import mkdtemp
from .tmpdi... |
import math
import os
# os.environ['TL_BACKEND'] = 'torch'
# os.environ['CUDA_VISIBLE_DEVICES'] = '5'
from gammagl.utils import add_self_loops, calc_gcn_norm, mask_to_index, remove_self_loops
import argparse
from tqdm import tqdm
from gammagl.datasets import Planetoid
import tensorlayerx as tlx
from tensorlayerx.mod... |
import torch
import torch.nn as nn
from torch.autograd import Variable
class ConvLSTMCell(nn.Module):
def __init__(self, input_channels, hidden_channels, kernel_size):
super(ConvLSTMCell, self).__init__()
assert hidden_channels % 2 == 0
self.input_channels = input_channels
self.h... |
# type: ignore
import ast
import functools
import re
from copy import deepcopy
from inspect import stack
from pathlib import Path
import executing
import mat2py.config
from mat2py.common.backends import numpy as np
from mat2py.common.logger import logger
from mat2py.common.utils import Singleton
from .array import M... |
# kim/roles.py
# Copyright (C) 2014-2015 the Kim authors and contributors
# <see AUTHORS file>
#
# This module is part of Kim and is released under
# the MIT License: http://www.opensource.org/licenses/mit-license.php
from kim.exception import RoleError
class Role(set):
"""Roles are a fundamental feature of Kim.... |
from django import forms
from django.core.files.images import get_image_dimensions
from django.core.validators import MinValueValidator, MaxValueValidator
from taggit.forms import TagField
from .models import UserProfile
class SignupForm(forms.Form):
first_name = forms.CharField(
widget=forms.TextInput(attrs={'pl... |
"""
Object localization with ResNet50 architecture. Uses pre-trained features
from imagenet (transfer learning).
Input is a color image. The network has two outputs, object
class ([1, 0] for person and [0, 1] for background) and its bounding box
coordinates (xmin, xmax, ymin, ymax). Class output (two neurons) uses bin... |
from itertools import combinations
rows = 'ABCDEFGHI'
cols = '123456789'
digits = '123456789'
assignments = []
def assign_value(values, box, value):
"""
Please use this function to update your values dictionary!
Assigns a value to a given box. If it updates the board record it.
"""
... |
'''connector for Simio, dependent on python for .net (pythonnet)
'''
import os
import sys
import clr # @UnresolvedImport
# TODO:: do some auto discovery here analogue to netlogo?
sys.path.append('C:/Program Files (x86)/Simio')
clr.AddReference('SimioDLL')
clr.AddReference('SimioAPI')
import SimioAPI # @Unresolved... |
import mxnet as mx
import net_symbols as syms
def create_block(data, name, num_filter, kernel, pad=0, stride=1, dilate=1, workspace=512,
use_global_stats=True, lr_type="alex"):
res = syms.conv(data=data, name="res" + name, num_filter=num_filter, pad=pad, kernel=kernel, stride=stride,
... |
import threading
from peewee import *
from playhouse.kv import JSONKeyStore
from playhouse.kv import KeyStore
from playhouse.kv import PickledKeyStore
from playhouse.tests.base import PeeweeTestCase
from playhouse.tests.base import skip_if
class TestKeyStore(PeeweeTestCase):
def setUp(self):
super(TestKe... |
import numpy as np
from os import listdir
from matplotlib import pyplot as plt
def apply_spectrum(data, pca, numinput=256, power=1.0):
colored = data.dot(np.diag(np.power(pca.sValues[:numinput], power)))
return colored/colored.std()
def get_params_and_errors(net, toy, nunits=256, folder='.',
... |
#!/usr/bin/python
# -*- encoding: utf-8 -*-
'''
@Time : 2021/07/16 14:44:21
@Author : Camille
@Version : 1.0
'''
import sys
import os
sys.path.append(os.getcwd())
import json
import time
from threading import Thread, Event
from scripts.prettyCode.prettyPrint import PrettyPrint
from scripts.windows.windows im... |
import tensorflow as tf
import numpy as np
from imgaug import augmenters as iaa
import matplotlib.pyplot as plt
def plot_sample_images(images, labels, num_classes, samples_per_class, mean=None, std=None, dtype='uint8'):
print(images[0].shape)
if mean is not None and std is not None:
images = images * ... |
"""Pytorch implementation of Class-Balanced-Loss
Reference: "Class-Balanced Loss Based on Effective Number of Samples"
Authors: <NAME> and
<NAME> and
<NAME> and
<NAME> and
<NAME>
https://arxiv.org/abs/1901.05555, CVPR'19.
"""
import numpy as np
imp... |
import csv
import requests
import time
import re
from bs4 import BeautifulSoup
def crawl_content(url):
http_header = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; WOW64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.88 Safari/537.36',
'Accept': 'text/html,application/xhtml+xml,applicat... |
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'
}
DOCUMENTATION = '''
---
module: tetration_scope_query
short_description: Search the scope api for scope id's or details
version_added: '2.9'
description:
- "Search the Scope API by a variety of metho... |
# -*- encoding:utf8 -*-
import sys
from collections import namedtuple
# b:begin, m: middle, e: end
LR = namedtuple('LR', 'l l_tag r r_tag b m e')
class BaseTemplateMatcher:
def generate(self, token):
raise NotImplementedError
class EojeolTemplateMatcher(BaseTemplateMatcher):
def __init__(self, dictio... |
import numpy as np
import tensorflow as tf
from sklearn.ensemble import AdaBoostClassifier
from sklearn.ensemble import RandomForestClassifier, VotingClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
__author__ = "<NAME>"
__version__ = "1.0"
__email__ = "<EMAIL>"
class Ensemb... |
"""
File : deploy_flask.py
Author : <NAME>
Date Created : 03-07-2020
Date Modified : 29-08-2020
"""
import os
from getpass import getuser
import subprocess
class Deploy:
"""
Class to manage the major deployment tasks
"""
def __init__(self, project_... |
# -*- coding: utf-8 -*-
import networkx as nx
import numpy as np
from random import choice, choices, sample
from torch.optim import SGD, Adam
from model.skipgram import SkipGram
from copy import deepcopy
from gensim.models import word2vec
from concurrent.futures import ProcessPoolExecutor, as_completed
def random_wal... |
# vim: ft=python fileencoding=utf-8 sts=4 sw=4 et:
# Copyright 2014-2021 <NAME> (The Compiler) <<EMAIL>>
#
# This file is part of qutebrowser.
#
# qutebrowser 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, e... |
import os
import json
import enum
import uproot
import flatbuffers
import dask.delayed
import pyarrow as pa
from pyarrow import csv
from os import listdir
from os.path import isfile, join
from dask.distributed import Client
from skyhookdmdriver import FB_Meta
class SkyFormatType(enum.Enum):
SFT_FLATBUF_FLEX_ROW ... |
from __future__ import absolute_import, division, print_function, unicode_literals
import matplotlib.pyplot as plt
import matplotlib.cm as cm
# not compatible with matplotlib-2.2.3, matplotlib-2.0.2 required
import math
import numpy as np
import time
import threading
import ast
from six import iteritems, itervalues
de... |
#!/usr/bin/env python
"""
vlanhost.py: Host subclass that uses a VLAN tag for the default interface.
Dependencies:
This class depends on the "vlan" package
$ sudo apt-get install vlan
Usage (example uses VLAN ID=1000):
From the command line:
sudo mn --custom vlanhost.py --host vlan,vlan=1000
... |
#!/usr/bin/env python
#
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in... |
import sys
import code
import re
from typing import Callable
from contextlib import redirect_stdout, redirect_stderr
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
class LineEdit(QLineEdit):
"""QLIneEdit with a history buffer for recalling previous lines.
I also accept ta... |
import torch
from torch import nn
class BatchNormConv1d(nn.Module):
r"""A wrapper for Conv1d with BatchNorm. It sets the activation
function between Conv and BatchNorm layers. BatchNorm layer
is initialized with the TF default values for momentum and eps.
Args:
in_channels: size of each input... |
# <NAME> - last edit: 4/23/2020 @3PM
import pygame, sys, random, math, time
import constants
from buttons import draw_rect
from buttons import button_hover
from buttons import button_press
from buttons import text
# Randomly generates obstacles - draws them red and returns the coordinates of them
def rand... |
from __future__ import annotations
import enum
import logging
import ssl
from collections.abc import Sequence
from dataclasses import dataclass, field
from datetime import datetime
from pathlib import Path
from types import TracebackType
from typing import Any
import aiohttp
from dateutil.parser import parse
from neu... |
import torch
import argparse
import torchvision
import torch.nn as nn
from torch.autograd import Function
from model.base_model import Base_Model
class CIBHash(Base_Model):
def __init__(self, hparams):
super().__init__(hparams=hparams)
def define_parameters(self):
self.vgg = torc... |
from enum import Enum
from typing import Tuple, Union
import geopandas as gpd
import triangle
from .common import (
FloatArray,
IntArray,
check_geodataframe,
invalid_option,
repr,
separate,
to_ugrid,
)
from .triangle_geometry import collect_geometry, polygon_holes
class DelaunayAlgorithm... |
"""
ONS Address Index - Probabilistic Parser
========================================
This file defines the calling mechanism for a trained probabilistic parser model.
It also implements a simple test. Note that the results are model dependent, so
the assertions will fail if a new model is trained.
Requirements
----... |
import numpy as np
import cv2
import os
from keras.layers import Conv2D
from keras.layers.pooling import MaxPooling2D
from keras.layers.core import Dropout, Flatten, Dense
from keras.optimizers import Adam
from sklearn.model_selection import train_test_split
import matplotlib.pylab as plt
from keras.preprocessing.image... |
import re
from discord import Member
from typing import Union, List, Dict, Pattern # Type hints
"""
Constants split into classes. Admin roles have extra information for rank comparison. Channels are combined into
lists in the Section class.
"""
class RePattern:
RP_NAME = re.compile("^[A-Z][a-z]+_[A-Z]{1,2}([a-z... |
# -*- coding: utf-8 -*-
"""
Support for using :mod:`BTrees` with ZODB.
This module is primarily concerned with making BTrees even more
efficient, especially at large scale and high concurrency.
.. rubric:: family64LargeBuckets
This is a BTree family that's useful for high-concurrency or large
applications by increas... |
def get_2away_pairs(local_index_to_kmer, k):
"""local_index_to_kmer is a dictionary where the value is a kmer portion, and the key is the index of the original kmer in which the kmer portion is found. get_2away_pairs returns a list of pairs where each pair of indices corresponds to a pair of kmers different in exactl... |
#!/usr/bin/python
# Copyright (c) 2014 <NAME>
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
Run this script from the root of the repository to update all translations from
transifex.
It will do the following automatically:
-... |
import os
import os.path
import copy
import hashlib
import errno
import numpy as np
from numpy.testing import assert_array_almost_equal
def check_integrity(fpath, md5):
if not os.path.isfile(fpath):
return False
md5o = hashlib.md5()
with open(fpath, 'rb') as f:
# read in 1MB chunks
... |
# MADE ONLY FOR EDUCATIONAL PURPOSES, DO NOT USE AS SCRAPING DATA MAY BE ILLEGAL!
# The program works fine however headline() is still being implemeted.
# make it so it can grab more than 10 request by going to page 2
from urllib.request import urlopen, Request
from urllib.parse import urlencode, quote_plus
from bs4 im... |
#!/usr/bin/env python
import numpy as np
import scipy.special
_POISSON = .25
_N_PROCS = 4
def get_flexure_parameter(h, E, n_dim, gamma_mantle=33000.):
"""
Calculate the flexure parameter based on some physical constants. *h* is
the Effective elastic thickness of Earth's crust (m), *E* is Young's
Mo... |
from flask import redirect, url_for, request, session , jsonify , current_app
from model import User , UserSchema
# from app.auth.forms import LoginForm, RegistrationForm
# from app.model import UserSchema
from app import app, db, jwt
from config import UPLOAD_FOLDER
from flask_jwt_extended import jwt_required, get_jwt... |
import io
import time
import dh.utils
import dh.image
import dh.network
class CameraServer(dh.network.SocketServer):
# command bytes
COMMAND_PING = 0x0
COMMAND_GET = 0x1
COMMAND_SET = 0x2
COMMAND_CAPTURE = 0x3
# response bytes corresponding to the commands are identical to the com... |
# Copyright (c) 2015 Uber Technologies, 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, publ... |
#
# The ElementTree toolkit is
#
# Copyright (c) 1999-2007 by <NAME>
# 2008-2010 <NAME> <<EMAIL>>
#
# By obtaining, using, and/or copying this software and/or its
# associated documentation, you agree that you have read, understood,
# and will comply with the following terms and conditions:
#
# Permission... |
import py
from pypy.lang.smalltalk import squeakimage
from pypy.lang.smalltalk.squeakimage import chrs2int
from pypy.lang.smalltalk import objspace
space = objspace.ObjSpace()
# ----- helpers ----------------------------------------------
def ints2str(*ints):
import struct
return struct.pack(">" + "i" * len(... |
"""
Pony-ORM database backend.
"""
from fatartifacts.database import base
from datetime import datetime
from pony import orm
from typing import *
import threading
def declare_entities(db):
class Location(db.Entity):
name = orm.Optional(str)
parent = orm.Optional('Location', reverse='children')
childre... |
import json
from typing import Union
from flask import Blueprint, request
from parse import parse
from anubis.models import AssignmentTest, Submission, SubmissionTestResult, db
from anubis.utils.http import success_response
from anubis.utils.data import MYSQL_TEXT_MAX_LENGTH
from anubis.utils.http.decorators import j... |
import random
from rest_framework import serializers
from .payments import flutter_wave
from django.contrib.auth.models import update_last_login
from .models import Wallet, TransactionHistory
from django.contrib.auth import get_user_model, authenticate
from rest_framework_jwt.settings import api_settings
from django.sh... |
class Student:
def __init__(self, student_id, fname, lname, enroll_date):
self.student_id = student_id
self.fname = fname
self.lname = lname
self.enroll_date = enroll_date
class Course:
def __init__(self, course_id, title, cred_hr):
self.course_id = course_id
... |
#test_model.py
from pathlib import Path
import sys
root_dir = Path(Path.cwd()).parent
sys.path.append(str(root_dir))#+'/src/')
import pytest
from src.sloth.model import Model
from src.sloth.problem import Problem
from src.sloth.simulation import Simulation
from src.sloth.core.equation_operators import *
from src.... |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
# Non-local block using embedded gaussian
# Code from
# https://github.com/AlexHex7/Non-local_pytorch/blob/master/Non-Local_pytorch_0.3.1/lib/non_local_embedded_gaussian.py
import torch
from torch import nn
from torch.nn import functional as F
class _NonLocalBlockND(nn.Module):
def __init__(self, in_channels, int... |
import torch
import numpy as np
import os
import sys
# sys.path.append(os.path.dirname(os.path.abspath(__file__))) # noqa: E402
# from utils.reranking import re_ranking
def euclidean_distance(qf, gf):
m = qf.shape[0]
n = gf.shape[0]
dist_mat = torch.pow(qf, 2).sum(dim=1, keepdim=True).expand(m, n) + \
... |
# Copyright 2020 DeepMind Technologies Limited.
#
# 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... |
# Copyright 2018 The Magenta 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 or agreed to in ... |
# #!/usr/bin/env python
# -*- coding: utf-8 -*-
# <HTTPretty - HTTP client mock for Python>
# Copyright (C) <2011-2013> <NAME> <<EMAIL>>
#
# 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 wi... |
# This file is part of Indico.
# Copyright (C) 2002 - 2021 CERN
#
# Indico is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see the
# LICENSE file for more details.
from sqlalchemy.dialects.postgresql import JSONB
from sqlalchemy.event import listens_for
from indico.cor... |
import argparse
import os
import random
import shutil
import time
import warnings
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.optim
import torch.multiprocessing as mp
import torch.utils.da... |
import cv2
import numpy as np
import os
# from sys import argv
import time
# main direction (program)
def get_parent_dir(n=1):
"""returns the n-th parent directory of the current
working directory"""
current_path = os.path.dirname(os.path.abspath(__file__))
for _ in range(n):
current_path = os... |
# coding: utf-8
# In[5]:
import pickle
import tensorflow as tf
import numpy as np
import tf_util
import gym
import load_policy
import torch
from torch.autograd import Variable
import torch.nn as nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
from torch.optim.lr_scheduler import StepLR
class CN... |
# Copyright (c) 2015, Baidu.com, Inc. All Rights Reserved
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
#!/usr/bin/env pythons
class CONF:
def __init__(self):
self.TABLE_NAME = 'table_name'
self.TABLET_NUM = 'tablet_number'
... |
'''
Python GL Wrapper for opengl, gives cleaner access to the opengl api.
Aims to be similar PyOpenGL where it makes sense.
'''
import ctypes as ct
from ed2d.opengl import gl
from ed2d import typeutils
def glGetInteger(pname):
# because this function can return differant amounts of data
# we need to work a... |
"""
Copyright 2020, <NAME> <<EMAIL>>
This file is the main driver of rrap, a bionformatics pipeline that
runs read recruitment and rpkm visualization given reference
genome and metagenome directories.
"""
import os
import argparse
import subprocess
from pathlib import Path
from rrap import concatenator
from rra... |
import pymongo
import csvHandler as fiHandl
import pandas as pd
import numpy as np
from pymongo import MongoClient
import pandasCleaning as pdClean
import hashlib
import pickle
from datetime import datetime
# To setup a local db for testing use
# docker run -d -p 27017-27019:27017-27019 --name mongodb mongo
# To stop ... |
# Copyright 2017 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 required by... |
from typing import Set, List, Dict, Tuple
import requests
import datetime as dt
from bs4 import BeautifulSoup as bs
import re
import calendar
from selenium.common.exceptions import TimeoutException
import config as conf
import pickle as pk
import os.path
from selenium import webdriver
from selenium.webdriver.firefox.... |
#!/usr/bin/env python
from numpy import ceil
try:
import pulp
except Exception:
pulp = None
from mapel.voting.objects.ApprovalElection import ApprovalElection
from math import ceil
import itertools
from collections import defaultdict
def count_number_of_cohesive_groups_brute(election: ApprovalElection, l:... |
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... |
# coding=utf-8
# Copyright 2019 Google 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 ... |
# -*- coding: utf-8 -*-
### Python imports
import pathlib
### Third Party imports
import numpy as np
import pandas as pd
import pytest
### Project imports
from t4.formats import FormatRegistry
from t4.util import QuiltException
### Constants
### Code
def test_buggy_parquet():
"""
Test that T4 avoids cras... |
#!/usr/bin/env python3
"""
** Allows you to format the text color. **
------------------------------------------
Specifically allows you to choose from a reduced list,
the highlighting color and the text color.
"""
import colorama
from context_printer.memory import get_lifo
colorama.init() # for windows
def _st... |
"""
Copyright 2019 <NAME>.
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 in writing,
software distribut... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... |
"""
PodmanList - command ``/usr/bin/podman (images|ps)``
====================================================
Parse the output of command "podman_list_images" and "podman_list_containers",
which have very similar formats.
The header line is parsed and used as the names for the remaining columns.
All fields in both he... |
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