content stringlengths 5 1.05M |
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from numba.core.decorators import njit
import numpy as np
import numba as nb
from .core import Signal, signal
from .oscillators import Sin # NOQA
@njit([
nb.types.Tuple((nb.float32, nb.float32))(
nb.int64, nb.float32, nb.float32, nb.float32[:], nb.float32[:], nb.float32[:]
)
])
def first_order_low_p... |
# DRUNKWATER TEMPLATE(add description and prototypes)
# Question Title and Description on leetcode.com
# Function Declaration and Function Prototypes on leetcode.com
#733. Flood Fill
#An image is represented by a 2-D array of integers, each integer representing the pixel value of the image (from 0 to 65535).
#Given a c... |
from pytrek.gui.gamepieces.base.BaseMiss import BaseMiss
class KlingonTorpedoMiss(BaseMiss):
FILENAME: str = "KlingonTorpedoMiss.png"
def __init__(self, placedTime: float):
super().__init__(fileName=KlingonTorpedoMiss.FILENAME, placedTime=placedTime)
|
import numpy as np
from scipy import linalg
from hmmlearn.hmm import GaussianHMM
from hmmlearn.base import ConvergenceMonitor
from sklearn.utils import check_array
from hmmlearn.utils import iter_from_X_lengths
###################################################################################################
# Classe... |
import cv2
import os, glob
from os import listdir, makedirs
from os.path import isfile, join
path_p = input("Current path: ")
dstpath_p = input("Destination path: ")
path = r"{}".format(path_p) # Source Folder
dstpath = r"{}".format(dstpath_p) # Destination Folder
try:
makedirs(dstpath)
except Exception a... |
import os
import numpy as np
import stempeg
class Track(object):
"""
Generic audio Track that can be wav or stem file
Attributes
----------
name : str
Track name
path : str
Absolute path of mixture audio file
stem_id : int
stem/substream ID
is_wav : boolean
... |
import re
from typing import List, Dict
import argparse
from pathlib import Path
from pycparser import CParser, c_ast
from autopxd import AutoPxd
# List the includes to the stdlib we are expecting. This is needed to hack
# around them given they are needed for pycparser, but should endup in the pxd
# as `from libc.st... |
from .core import *
try:
from .item import *
from .keychain import *
from .settings import *
from .mail import *
from alp.request.request import *
except ImportError:
pass
try:
from .notification import *
except ImportError:
pass
|
import math
import os
import hashlib
from datetime import datetime
from typing import List, Dict, Optional
from bcoding import bencode, bdecode
from dumper import dump
class Torrent():
def __init__(self, torrent_file: str):
self.torrent_file = torrent_file
self.metainfo = self.decode_file()
... |
from dataclasses import dataclass
from typing import TypeVar, Optional, Dict, Any
from dbt.adapters.base.column import Column
Self = TypeVar('Self', bound='TiDBColumn')
@dataclass
class TiDBColumn(Column):
table_database: Optional[str] = None
table_schema: Optional[str] = None
table_name: Optional[str] ... |
import os
import sys
from pykit import fsutil
fn = sys.argv[1]
fsutil.makedirs(fn)
stat = os.stat(fn)
os.write(1, '{uid},{gid}'.format(uid=stat.st_uid, gid=stat.st_gid))
|
a = float(input())
if a % 10 == 5:
print("YES")
|
from .processing import process_documents, process_results, batch_items
from .elastic import elastic_to_search_results
from .verification import check_duplicate_documents, check_document_types
|
from setuptools import setup
setup(
name='rextester_py',
version='0.0.2',
url='https://github.com/ProgrammingError/rextester_py',
license='MIT',
author='nitanmarcel',
author_email='nitan.marcel@gmail.com',
description='Simple Python interface for rextester.com, using aiohttp/requests',
... |
import pandas as pd
import requests
from geopy.geocoders import Nominatim
from geopy.extra.rate_limiter import RateLimiter
from tqdm import tqdm
import geopandas as gpd
from shapely.geometry import Polygon, MultiPolygon
import os
geog_file = 'Assessor_Historical_Secured_Property_Tax_Rolls.csv'
asr_file = 'assessor_200... |
"""All the classes used as parameters for the decorators."""
from aws_lambda_decorators.decoders import decode
from aws_lambda_decorators.utils import is_valid_variable_name
PATH_DIVIDER = "/"
ANNOTATIONS_START = "["
ANNOTATIONS_END = "]"
class ExceptionHandler:
"""Class mapping a friendly error message to a giv... |
import networkx as nx
import numpy as np
from sklearn.model_selection import KFold, StratifiedKFold
import copy
import random
def write_edgelist(G, path, delimiter=',', write_extra=False, shuffle=True):
lines = []
fp = path
if type(path) == type('str'):
fp = open(path, 'w')
for (u, v, d) in G... |
#!/usr/bin/python
import os
from setuptools import find_packages, setup
setup(use_scm_version=True,)
|
# -*- coding: utf-8 -*-
from aloe import step
from aloe import world
from ..stepslib import upper_half_frequency_axis
from ..stepslib import complete_frequency_axis
import numpy
@step('TimeAxis is created from FrequencyAxis')
def ta_from_fa(self):
wa = world.wa
world.ta = wa.get_TimeAxis()
@step(... |
# -*- coding: utf-8 -*-
# All GPIO pins below are BCM
PWM_TO_PIN = {
# map between PCB labels and GPIO pins
1: 6,
2: 13, # hardware PWM1 available
3: 16,
4: 12, # hardware PWM0 available
5: 18,
}
# led and button GPIO pins
PCB_LED_PIN = 23
PCB_BUTTON_PIN = 24
# hall sensor
HALL_SENSOR_PIN ... |
import api
import m3u8
from user import User
class VideoSegment:
def __init__(self, segment, muted_segments):
self.id = int(segment.uri.replace(".ts", "").replace("-unmuted", ""))
self.uri_base = segment.base_uri
self.uri_name = segment.uri
if self.id in muted_segments:
... |
import vficredit.equations as eq
import numpy as np
def test_MPL():
assert eq.MPL(1.,1.,1.,1.) == 0.
assert eq.MPL(1.,1.,1.,0.) == 1.
assert eq.MPL(0.,1.,1.,1.) == 0.
assert eq.MPL(0.,1.,1.,0.) == 0.
assert eq.MPL(0.5,1.,1.,0.5) == 0.25
assert eq.MPL(0.5,1.,1.,0) == 0.5
def test_MPK():
... |
import json
from tqdm import tqdm
import jsonlines
import json
from nltk.tokenize import sent_tokenize
# from KILT.kilt.knowledge_source import KnowledgeSource
from collections import defaultdict
import random
def chunks(l, n):
n = max(1, n)
return [l[i:i+n] for i in range(0, len(l), n)]
def preproc(split):
... |
from django.shortcuts import render
from django.http import HttpResponse, HttpResponseRedirect
from django.contrib.auth.decorators import login_required
from .models import Posts, Category, Comment
from .forms import PostForm, CommentForm
from django.urls import reverse
# Create your views here.
@login_required
def h... |
(InteractiveConsole)
>>> from osoba.models import MilitaryRank, Platoon, ServiseID, Unit
>>> image_path = 'D:\downloads\photo_2021-02-13_10-45-02.jpg'
>>> with open(image_path,'rb') as image_file:
... image_string = image_file.read()
...
sid = ServiseID.objects.create(image3x4=image_string, name='proba', sename =... |
from copy import deepcopy
from .cpx import cpx
class Poly:
# takes in dictionary of {power : coefficient}
def __init__(self, d: dict = None):
if d:
self.d = d
self.leading_c = max(d.keys())
else:
self.d = {}
self.leading_c = 0
# create Poly from leading term and list of roots
# not sure if there i... |
# USAGE
# python demo.py --base-model $CAFFE_ROOT/models/bvlc_googlenet \
# --image initial_images/fear_and_loathing/fal_01.jpg \
# --output examples/simple_fal.jpg
# import the necessary packages
from batcountry import BatCountry
from PIL import Image
import numpy as np
import argparse
# construct the argument parse... |
import pandas as pd
import random
#-------------------------read the dataset-----------------------------
data = pd.read_csv('Salary_Data.csv')
print("\nReading the dataset \n")
print(data)
#------------------------counting the rows and colums--------------------------
rows = len(data.axes[0])
cols = len(data.axes[1]... |
# Generated by Django 3.1.7 on 2021-03-29 12:08
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('venues', '0004_auto_20210329_1038'),
]
operations = [
migrations.AlterModelOptions(
name='vmanager',
options={'ordering': ['... |
# -*- coding: utf-8 -*-
"""
Created on Wed Nov 11 16:47:03 2015
@brief: Create sample sheet from TCGA metadata.json for Genomon.
@author: okada
$Id: create_samplesheet.py 127 2016-01-22 02:17:18Z aokada $
$Rev: 127 $
@code
create_samplesheet.py {TCGA metadata.json} {path to bam dir} {path to output_sample.csv} --ch... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
from typing import Dict, List
import fvcore.nn.weight_init as weight_init
import torch
from torch import nn
from torch.nn import functional as F
from detectron2.layers import Conv2d, ConvTranspose2d, ShapeSpec, cat, get_norm
from detectron2.structu... |
import pandas as pd
from sklearn.model_selection import train_test_split
TEST_SIZE = 0.05
MAX_LEN = 1000
train_de = open('./data/train.de', encoding='utf-8').read().split('\n')
train_en = open('./data/train.en', encoding='utf-8').read().split('\n')
dev_de = open('./data/dev.de', encoding='utf-8').read().split('\n')... |
from flask import Flask
app = Flask(__name__)
@app.route('/routers/<hostname>')
def router(hostname):
return 'You are at %s' % hostname
@app.route('/routers/<hostname>/interface/<int:interface_number>')
def interface(hostname, interface_number):
return 'You are at %s interface %d' % (hostname, interface_numbe... |
#!/usr/bin/python
'''
(C) Copyright 2019 Intel Corporation.
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 ... |
# Imports
import cv2
import numpy as np
import matplotlib.pyplot as plt
# Step 1) Load image
img = cv2.imread("./Data/test_img.jpg")
img = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)
# Step 2) Gray Scale
gray_img = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
gray_img = cv2.dilate(gray_img, kernel=np.ones((5, 5), np.uint8))
# Ste... |
def {0}(*args):
'''{1}'''
if len(args) == 1:
return _dispatcher.ic_function_objarg('{2}{0}', args[0])
return _dispatcher.ic_function_varargs('{2}{0}', args)
|
import iseg.types as T
from ._intersect_and_union import _intersect_and_union
def iou(
segmap_list: T.List[T.Array], mask_list: T.List[T.Array], num_classes: int, ignore_index: int
) -> T.Dict[str, float]:
"""
Compute the IoU over all predictions and masks in validataion or test dataset.
Args:
... |
__author__ = 'yinjun'
# Definition for singly-linked list.
# class ListNode:
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution:
# @param head: the list
# @param k: rotate to the right k places
# @return: the list after rotation
def rotateRight(self, head, k)... |
import shutil
def clean():
print("Performing clean...")
print('Removing "doc" directory...')
shutil.rmtree("./doc")
print("Clean done.") |
import socket
from asyncio import (gather, get_event_loop, open_connection, start_server)
from ipaddress import ip_address
from struct import calcsize, pack, unpack
from ._util import log
# __all__ = ['Socks5']
#
class Socks5:
"""
Socks5 proxy class
"""
NO_ADDR = '0.0.0.0'
ATYP_IPv... |
# -*- coding: utf-8 -*-
#
# Copyright 2020 Chris Myers
#
# 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 ... |
'''
.1111... | Title: ophcrack
.10000000000011. .. | Author: Oliver Morton
.00 000... | Email: grimhacker@grimhacker.com
1 01.. | Description:
.. | runs ophcrack as a subprocess, parsing stdout.
.. | does not return c... |
"""
Serialization tools
===================
Contains multipurpose utilities for serializing objects.
.. Copyright:
Copyright 2019 Wirepas Ltd licensed under Apache License, Version 2.0
See file LICENSE for full license details.
"""
import json
import datetime
import binascii
def ser... |
# Given an array containing None values fill in the None values with most recent
# non None value in the array
from random import random
def generate_sample(n):
rand = 0.9
while n:
yield int(rand * 10) if rand % 1 > 1 / 3 else None
rand = random()
n -= 1
def fill1(array):
for i i... |
from itertools import chain, count
from collections import defaultdict
from otf2.events import Enter, Leave, ThreadTaskCreate
"""
Contains assorted helper functions for __main__.py and trace.py
"""
def attr_getter(attr_lookup):
"""Make a function to lookup an attribute of some event by its name"""
def event_... |
# Name: Liu Eng Ann Joseph
# Email: kelpabc123@gmail.com
# Filename: course.py
# File: Contains class definitions for a course object, contains the structure required
# to be potentially extended to a database
import csv
# Course object stores the information associated with a course
class MyCourse:
#######... |
"""
Tests for openedx.core.djangolib.translation_utils
"""
import unittest
import datetime
import ddt
from openedx.core.djangolib.translation_utils import translate_date
@ddt.ddt
class TranslateDateTest(unittest.TestCase):
"""Test that we can convert the date object into a string with translation."""
@dd... |
from typing import List
def pad_sequences(
chunk_size: int,
subfam_seqs: List[str],
chrom_seqs: List[str],
padding_char: str = ".",
) -> None:
"""
Right-pad sequences with `(chunk_size - 1) / 2` copies of ".".
The first sequence is ignored since that is the skip state.
The `padding_c... |
from django.urls import path, include
from rest_framework.routers import DefaultRouter
from core.views.demo_schemas import ListDemos
router = DefaultRouter()
router.register('tags', ListDemos)
app_name = 'core'
urlpatterns = [
path('', include(router.urls))
]
|
from datetime import datetime, timedelta, timezone
from unittest.mock import patch
import asf_search
import pytest
import process_new_granules
def test_get_unprocessed_granules(tables):
items = [
{
'job_id': 'job1',
'request_time': '2021-01-01T00:00:00+00:00',
'user_i... |
# Copyright 2014 Confluent 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 in writing, s... |
import torch.nn as nn
import torch
import math
import torch.utils.model_zoo as model_zoo
import torch.nn.functional as F
from torch.nn.modules.conv import _ConvNd
from torch.nn.modules.utils import _ntuple
from collections import OrderedDict
import operator
from itertools import islice
from modules.networks.dsbn impo... |
from numpy.testing import assert_allclose
import bokeh.driving as driving
def _collector(results):
def foo(val):
results.append(val)
return foo
w = 0.3
A = 3
phi = 0.1
offset = 2
def test_sine_sequence_values():
results = []
func = driving.sine(w, A, phi, offset)(_collector(results))
for... |
import pytest
from bs4 import BeautifulSoup
from django.urls import reverse
from caseworker.advice.services import FCDO_CASES_TO_REVIEW_QUEUE, FCDO_TEAM
from core import client
@pytest.fixture(autouse=True)
def setup(mock_queue, mock_denial_reasons, mock_case):
yield
@pytest.fixture
def url(data_queue, data_s... |
import configparser
import os
import unittest
from TM1py.Objects import User
from TM1py.Services import TM1Service
from TM1py.Utils.Utils import CaseAndSpaceInsensitiveSet
config = configparser.ConfigParser()
config.read(os.path.join(os.path.abspath(os.path.dirname(__file__)), 'config.ini'))
PREFIX = "TM1py_Tests_"
... |
import asyncio
import logging
from json import JSONEncoder
from typing import List, Any
from aiohttp import TCPConnector, ClientSession
from .executor import AsyncioProgressbarQueueExecutor, AsyncioSimpleExecutor
class InputData:
def __init__(self, value: str):
self.value = value
def __str__(self):... |
from tensorflow import keras
from tensorflow.keras.datasets import mnist
from tensorflow.keras.layers import BatchNormalization, Dense, Flatten,\
LeakyReLU, Reshape
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.optimizers import Adam
import matplotlib.pyplot as plt
import numpy as np
... |
from dataclasses import dataclass
from datetime import datetime
from typing import Dict, List, Literal
DIFFERENCE = "difference"
@dataclass
class RatingMetric:
name: str
against: str = None
prediction: Literal["difference", "sum"] = "difference"
@dataclass
class Rating:
entity_id: int
team_id: ... |
import numpy as np
from numpy import array
import pandas as pd
from keras.preprocessing import text, sequence
from keras.preprocessing.text import Tokenizer
from keras.utils import to_categorical
from keras.models import Model, Input
from keras.layers import LSTM, Embedding, Dense, TimeDistributed, Bidirectional, GRU,... |
import numpy as np
#get get these working with numpy functions
#https://stackoverflow.com/questions/43493256/python-how-to-implement-a-custom-class-compatible-with-numpy-functions
class vec:
def __init__(self):
pass
@property
def _fields_(self):
return [(__memeber_name__, self.__member_type__) for __member_t... |
from typing import (
Callable,
Any,
Union,
Dict,
Tuple,
Set,
List,
)
from dearpygui import dearpygui
from dearpypixl.components import *
##################################################
####### NOTE: This file is auto-generated. #######
##################################################
... |
from time import sleep
from math import fabs
def contador(a, b, c):
cont = list()
cont.append(a)
if c == 0:
c = 1
if c < 0:
c = int(fabs(c))
if a < b:
while cont[-1] < b: # c Positivo
item = cont[-1] + c
if item <= b:
cont.append(ite... |
from rest_framework import serializers
from .models import data
class dataSerializer (serializers.ModelSerializer):
class Meta:
model = data
fields = '__all__'
|
# Generated by Django 2.1.7 on 2019-05-29 12:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('custom_models', '0003_auto_20190528_1156'),
]
operations = [
migrations.AlterField(
model_name='itemtext',
name='tex... |
def get_access_key():
return ""
def get_secret_key():
return ""
def get_bucket_name():
return "NARAuatstorage"
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import editor.jsonfield
class Migration(migrations.Migration):
dependencies = [
('editor', '0023_merge'),
]
operations = [
migrations.AddField(
model_name='customparttype... |
# Copyright 2015 gRPC 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 writing... |
"""
Tests for configular
"""
import os
import pytest
from configular import Configular
from configular import ParameterNotFoundException
CONFIG_FILE = 'tests/resources/config_file.cfg'
OVERRIDE_FILE = 'tests/resources/override_file.cfg'
@pytest.fixture
def config():
return Configular(CONFIG_FILE, override_fi... |
"""
Module to present a base neuroimaging scan, currently T1 mri, without any overlay.
"""
import argparse
import subprocess
import sys
import textwrap
import traceback
import warnings
from abc import ABC
from os import makedirs
from subprocess import check_output
import matplotlib.image as mpimg
import numpy as np... |
"""
sentry.plugins.base.structs
~~~~~~~~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2010-2013 by the Sentry Team, see AUTHORS for more details.
:license: BSD, see LICENSE for more details.
"""
from __future__ import absolute_import, print_function
__all__ = ['ReleaseHook']
from django.utils import timezone
from sentry.mod... |
# -*- coding: utf-8 -*-
#
# Copyright (C) 2021 CERN.
# Copyright (C) 2021 TU Wien.
#
# Invenio-Requests is free software; you can redistribute it and/or
# modify it under the terms of the MIT License; see LICENSE file for more
# details.
"""Component for creating request numbers."""
from invenio_records_resources.ser... |
import unittest2
from ..statement_header_parser import StatementHeaderParser
from ..statement import Statement
from ..utils import to_long_date
# flake8: noqa
statement_header = """
Raiffeisenbank a.s.
Bank statement No. 8
For period 01.08.2016/31.08.2016
Name of account: Test McTestman
Account number: 2000145399... |
import boto3
from botocore.exceptions import ClientError
from .. import compressor
from .. import logging
logger = logging.getFormattedLogger()
s3 = boto3.resource('s3')
s3_client = boto3.client('s3')
def path_exists(bucket, object):
"""Check that s3 bucket and key exist"""
try:
obj = list(s3.Bucket... |
# Copyright 2015 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 ... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.7 on 2017-03-16 15:36
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('ADFS', '0001_initial'),
]
operations = [
migrations.AlterField(
... |
import random
random.seed()
print(random.random())
print(random.uniform(0,10))
print(random.triangular(0,10,5))
print(random.betavariate(.1,.5))
print(random.expovariate(100))
print(random.gammavariate(1,2))
print(random.gauss(1,2))
print(random.lognormvariate(1,2))
print(random.vonmisesvariate(1,2))
print(random.paret... |
# Copyright 2016-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
"""
Store Metadata relating to which spatial locations are active at each scale.
Convolutions, submanifold convolutions and... |
# ==============================================================================
# Copyright 2018-2020 Intel Corporation
#
# 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://ww... |
# -*- coding:utf-8 -*-
"""
@file name : lesson-02.py
@author : Jianhua Ma
@date : 2021-03-28
@brief : create tensor
"""
import torch
import numpy as np
# Sets the seed for generating random numbers. Returns a torch.Generator
torch.manual_seed(1)
cuda_available = torch.cuda.is_available()
# Example 1... |
# Generated by Django 3.1.2 on 2020-10-17 16:05
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contacts',
fields=[
('id', ... |
import click
from create_github_project.utils import Accounts
@click.command(help='Drop GitHub account under managements.')
@click.argument('account_id', type=str)
def drop(account_id: str) -> None:
"""ツール管理下にある GitHub アカウントを管理から外す。
Args:
account_id (str): GitHub アカウント ID
"""
accounts = Acco... |
import networkx as nx
import matplotlib.pyplot as plt
import time
def filter_price_change(G, threshold):
unsignificant_nodes = []
for name in G:
if G.node[name]['type'] == 'Company' and G.node[name]['price_change'] >= threshold:
G.node[name]['label'] += ' : ' + str(G.node[name]['price_chan... |
cities = [
'Warsaw',
'Lodz',
'Krakow',
'Wroclaw',
'Poznan',
'Gdansk',
'Szczecin',
'Bydgoszcz',
'Lublin',
'Katowice',
'Bialystok',
'Gdynia',
'Czestochowa',
'Sosnowiec',
'Radom',
'Mokotow',
'Torun',
'Kielce',
'Gliwice',
'Zabrze',
'Bytom',... |
#!/usr/bin/python
# coding=utf-8
"""
第 0020 题： 登陆中国联通网上营业厅 后选择「自助服务」 --> 「详单查询」，然后选择你要查询的时间段，
点击「查询」按钮，查询结果页面的最下方，点击「导出」，就会生成类似于 2014年10月01日～2014年10月31日
通话详单.xls 文件。写代码，对每月通话时间做个统计。
"""
import xlrd
def count_the_dail_time(filename):
excel = xlrd.open_workbook(filename)
sheet = excel.sheet_by_index(0)
row... |
#!/usr/bin/python
import random
def insertion_recursive(AA, n):
# exit condition
if (n == 0):
return
# divide
insertion_recursive(AA, n-1)
# merge
key = AA[n]
idx = n-1
while (idx >=0 and key < AA[idx]):
AA[idx+1] = AA[idx]
idx -= 1
AA[idx+1] = key
RANGE=10
AA = [random.randint(1, ... |
import os
from PIL import Image
import numpy as np
import torchvision
from datasets import base
from datasets import tinyimagenet
from platforms.platform import get_platform
class Dataset(tinyimagenet.Dataset):
@staticmethod
def _augment_transforms():
return [
torchvision.transforms.Random... |
from __future__ import unicode_literals
from django.db import models
from django.contrib.sites.models import Site
from fontawesome.fields import IconField
from photologue.models import Photo
class Service(models.Model):
slug = models.CharField(max_length=512, blank=True, null=True)
title = models.CharField(m... |
from floodsystem.station import *
from floodsystem.stationdata import *
from floodsystem.stationdata import build_station_list
stations= build_station_list()
def run():
"""Requirements for Task 1F"""
list_of_inconsistent_stations = inconsistent_typical_range_stations(stations)
#sort the list alphabetical... |
from pyVmomi import vim
from pyVim.connect import SmartConnect, Disconnect
import time
def _get_obj(content, vimtype, name):
"""
Get the vsphere object associated with a given text name
"""
obj = None
container = content.viewManager.CreateContainerView(content.rootFolder, vimtype, True)
... |
# -*- coding: utf-8 -*-
import os
from ohmyrss.settings import CRAWL_FLAG_DIR
import time
import urllib
import hashlib
def mkdir(directory):
return os.makedirs(directory, exist_ok=True)
def get_hash_name(s):
return hashlib.md5(s.encode('utf8')).hexdigest()
def is_crawled_url(url):
url_hash = get_hash... |
from os import listdir
from os.path import isfile, join
import json
onlyfiles = [f for f in listdir('../img/2017') if isfile(join('../img/2017', f))]
img_list = []
for file in onlyfiles:
temp = dict([('src', './img/2017/' + file), ('w', 1382), ('h', 1036)])
img_list.append(temp)
# print(json.dumps(img_list))
#
... |
import spacy
from scispacy.linking import EntityLinker
print("Installing ScispaCy ontologies. Please wait...")
nlp = spacy.load("en_core_sci_sm")
config = dict()
config["linker_name"] = "umls"
config["resolve_abbreviations"] = True
nlp.add_pipe("scispacy_linker", config=config)
linker = nlp.get_pipe("scispacy_linker... |
import glob
import os.path as osp
dir_path="/home/huangju/dataset/dml_ped12"
img_paths = glob.glob(osp.join(dir_path, '*/*/*.jpg'))
#print(len(img_paths))
count=0
for img_path in img_paths:
#print(img_path.split('/')[-1].split("_")[-1])
if img_path.split('/')[-1].split('.')[0].split("_")[-1]=="face":
c... |
import pickle as pickle
import torch
from collections import OrderedDict, defaultdict
from multiprocessing import Process
import random
import json
from netquery.data_utils import parallel_sample, load_queries_by_type, sample_clean_test
from netquery.graph import Graph, Query, _reverse_edge
def load_graph(data_dir, e... |
from django.contrib import admin
from . import models
class UserAdmin(admin.ModelAdmin):
list_display=('id', 'first_name', 'last_name', 'username', 'last_login',)
class LyricsAdmin(admin.ModelAdmin):
list_display=('id', 'artist', 'title')
prepopulated_fields = {"title_slug": ("title",), "artist_slug": ("ar... |
# -*- coding: utf-8 -*-
"""
DO NOT EDIT THIS FILE WITHOUT CONSULTING WITH ME
@revision: 0 + inputs + Problem
@author: etodorov
@date: 14 Feb 16
@revision: 1 + Solver
@author: etodorov
@date: 14 Feb 16
@revision: 2 + TestProblem
@author: etodorov
@date: 15 Feb 16
"""
from __future__ import division
import os
#inputs... |
''' Utilties module
'''
from .progressbar import MultiCKMeansProgressBars
from .plotting import (
plot_ckmeans_result, plot_multickmeans_metrics,
plot_wecr_result, plot_wecr_result_metrics,
plot_cmatrix,
)
|
# mypy: allow-any-expr
# mypy: allow-any-explicit
# mypy: allow-any-generics
"""
Simple json serialization and de-serialization tool.
"""
from typing import Any, Dict, Union, Sequence, List, Tuple, Iterable, Mapping
import json
import importlib
from ...errors import (
PetroniaValueNotSerializable,
PetroniaSe... |
# -*- coding:utf-8 -*-
"""
rotation functions script
"""
import numpy as np
from math import cos
from math import sin
class Rotation(object):
def __init__(self):
pass
@staticmethod
def euler2dcm(pitch, yaw, roll):
"""
calculate right hand dcm with euler angle by order xyz
... |
"""
Compute time to first fixation, dwell time, number of fixations and number of re-entering (each with respect to the ROI of the respective scene) for a subject
"""
import pandas as pd
from argparse import ArgumentParser
from config import fname, subjects, blocks, display_resolution, image_size
from helpers import... |
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