content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
# Copyright 2015 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 applica... | python |
#!flask/bin/python
from farm import app
if __name__ == "__main__":
app.run(host='0.0.0.0', port=8001, debug=True)
| python |
import datetime
def prev_month_range(when = None):
"""Return (previous month's start date, previous month's end date)."""
if not when:
# Default to today.
when = datetime.datetime.today()
# Find previous month: http://stackoverflow.com/a/9725093/564514
# Find today.
first = datetime... | python |
'''
example code to join dataframes
merge_by_FIPS doesn't need to be it's own file; it's just calling .join on two data frames
'''
from deaths import death_sample
from vaccines import vaccine_sample
def merge_by_FIPS(desired_date):
# get dataframes with FIPS as indices
deaths_df = death_sample(desired_date)
... | python |
# Generated by Django 3.1.2 on 2020-11-10 14:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('userauth', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='userprofile',
name='fccProfil... | python |
import json
import time, os
import requests
from datetime import datetime
from PIL import Image
from PIL.ExifTags import TAGS
def download_img(url, basepath, filename):
with open(f'{basepath}/{filename}.jpg', "wb") as file:
res = requests.get(url)
file.write(res.content)
def download_movi... | python |
#! /usr/bin/env python
from datetime import datetime
import hb_config
# import MySQLdb
import pymysql.cursors
import pymysql.converters as conv
# import pymysql.constants as const
from pymysql.constants import FIELD_TYPE
import hb_output_settings as output_settings
import hb_queries
import hb_templates as templates
im... | python |
from accuracy2 import MyClassifier1
ob=MyClassifier1()
print(ob.predict()) | python |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Source: https://github.com/simplegadget512/Truecolor
# MIT License
# Copyright (c) 2017 Albert Freeman
# 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 t... | python |
import os
from charge.repository import Repository
if __name__ == '__main__':
test_data_dir = os.path.realpath(
os.path.join(__file__, '..', 'cross_validation_data'))
out_file = 'cross_validation_repository.zip'
repo = Repository.create_from(test_data_dir,
min_shell=0, max_shell... | python |
import unittest
from typing import List
import utils
# https://graphics.stanford.edu/~seander/bithacks.html#RoundUpPowerOf2
def round_up_to_power_of_2(v):
v -= 1
v |= v >> 1
v |= v >> 2
v |= v >> 4
v |= v >> 8
v |= v >> 16
return v + 1
# O(n) space. Segment tree array.
class NumArray:
... | python |
# Generated by Django 3.0.8 on 2020-08-12 16:14
from django.db import migrations, models
import utils.delete.managers
import utils.postgres.managers
class Migration(migrations.Migration):
dependencies = [
('definitions', '0008_auto_20200810_0520'),
]
operations = [
migrations.AlterModel... | python |
from typing import Any, Optional
from baserow.core.models import Application, TrashEntry, Group
from baserow.core.registries import application_type_registry
from baserow.core.signals import application_created, group_restored
from baserow.core.trash.registries import TrashableItemType, trash_item_type_registry
clas... | python |
"""
NetEvo for Python
=================
NetEvo is a computing framework designed to allow researchers to
investigate evolutionary aspects of dynamical complex networks. It
provides functionality to easily simulate dynamical networks with both
nodes and edges states, and includes optimization methods... | python |
# Generated by Django 3.2.8 on 2021-11-02 22:22
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
('tasks', '0009_alter_task_task_description'),
]
operations = [
]
| python |
from processes.models import Workflow
import factory
from faker import Factory as FakerFactory
from .owned_model_factory import OwnedModelFactory
from .run_environment_factory import RunEnvironmentFactory
faker = FakerFactory.create()
class WorkflowFactory(OwnedModelFactory):
class Meta:
m... | python |
"""
"""
from .utils import install_issubclass_patch
__version__ = "0.10.2"
install_issubclass_patch()
| python |
import torch.nn as nn
from .fcn import FCNHead
def build_segmentor(opt):
n_class = opt.n_class
# channels = [18, 36, 72, 144]
channels = [128]
classifier = FCNHead(
sum(channels),
sum(channels),
n_class,
num_convs=1,
kernel_size=1
)
return classifier
def... | python |
##############################################################################
# Copyright (c) 2016 HUAWEI TECHNOLOGIES CO.,LTD and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, ... | python |
from collections import defaultdict
from typing import Optional
import ether.topology
from ether.core import Node, Connection
DockerRegistry = Node('registry')
class Topology(ether.topology.Topology):
def __init__(self, incoming_graph_data=None, **attr):
super().__init__(incoming_graph_data, **attr)
... | python |
import os
from collections import Counter
from datetime import datetime
import matplotlib.pyplot as plt
import pandas as pd
def process_logfile(log_file) -> list:
with open(log_file, mode='r', encoding='utf-8') as file:
lines = file.readlines()
return [line.split(" : ")[0] for line in lines]
if __n... | python |
from instagrapi import Client
import requests
import json
username = "USERNAME"
password = "PASSWORD"
def instagram_json():
response = requests.get(f"https://www.instagram.com/{username}/?__a=1")
data = response.json()
data1 = json.dumps(data)
data2 = json.loads(data1)
followers = data2[... | python |
# Modules
from termenu import PlainMenu
# Initialize our menu
menu = PlainMenu()
# Main option list
@menu.option("Check out GitHub!")
def check_github():
print("You selected 'Check out GitHub!'.")
@menu.option("Read some documentation!")
def read_docs():
print("You selected 'Read some documentation!'.")
@me... | python |
# -*- coding: utf-8 -*-
""" Provides the Action class as part of the PokerNowLogConverter data model"""
from dataclasses import dataclass
from player import Player
@dataclass
class Action:
""" The Action class represents a single action made by a player in the active phase of the game.
Args:
player ... | python |
from calc import calculate_reverse_polish_notation
print(
calculate_reverse_polish_notation(input().split(' '))
) | python |
# -*- coding: utf-8 -*-
"""Functions to load and write datasets."""
__all__ = [
"load_airline",
"load_arrow_head",
"load_gunpoint",
"load_basic_motions",
"load_osuleaf",
"load_italy_power_demand",
"load_japanese_vowels",
"load_longley",
"load_lynx",
"load_shampoo_sales",
"lo... | python |
#!/usr/bin/env python
# Licensed to Cloudera, Inc. under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. Cloudera, Inc. licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you ma... | python |
from raybot import config
from raybot.model import db, POI, Location
from raybot.bot import bot
from raybot.util import h, get_user, get_map, pack_ids, uncap, tr
import csv
import re
import os
import random
import logging
from typing import List, Tuple
from datetime import datetime
from aiogram import types
from aiogra... | python |
import numpy as np
import math
from keras.initializers import RandomUniform
from keras.models import model_from_json
from keras.models import Sequential
from keras.layers import Dense, Flatten, Input, Lambda, Activation
from keras.layers.merge import concatenate
from keras.models import Sequential, Model
from keras.opt... | python |
# *****************************************************************************
#
# 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 fi... | python |
# Given an array of positive numbers and a positive number ‘k’, find the maximum sum of any contiguous subarray of size ‘k’.
# Example 1:
# Input: [2, 1, 5, 1, 3, 2], k=3
# Output: 9
# Explanation: Subarray with maximum sum is [5, 1, 3].
# Example 2:
# Input: [2, 3, 4, 1, 5], k=2
# Output: 7
# Explanation: Subarra... | python |
# 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 u... | python |
import tkinter as tk
from tkinter import *
from tkinter import filedialog
from tkinter import messagebox
from Bio import Entrez
import os
doubleBackSlash = r'/ '[0]
class Script1:
def __init__(self):
self.a_InputCSVFileName = ""
self.b_OutputPATH = ""
self.c_OutputFileName... | python |
import torch
import torch.nn as nn
import torch.optim as optim
import numpy as np
class DeepModel(nn.Module):
def __init__(
self,
num_states,
num_actions,
):
super(DeepModel, self).__init__()
self.conv1 = nn.Conv2d(1,20,(1,1))
self.conv2 = nn.Conv2d(1,20,(1,7... | python |
import logging
import traceback
lgr = logging.getLogger('datalad.revolution.create')
_tb = [t[2] for t in traceback.extract_stack()]
if '_generate_extension_api' not in _tb: # pragma: no cover
lgr.warn(
"The module 'datalad_revolution.revcreate' is deprecated. "
'The `RevCreate` class can be impo... | python |
# coding: utf-8
# Written by Lucas W. for Python 3.7.0
"""Initialisation"""
from time import time
from threading import Timer
from copy import deepcopy
from random import choice
name = "Terminal Chess (by Lucas W. 2019)"
board_template = [ #standard setup
['wR','wN','wB','wQ','wK','wB','wN','wR'],
['wP','wP','wP','wP'... | python |
from hubcheck.pageobjects.widgets.item_list_item import ItemListItem
from hubcheck.pageobjects.basepageelement import TextReadOnly, Link
class TagsBrowseResultsRow1(ItemListItem):
def __init__(self, owner, locatordict={}, row_number=0):
super(TagsBrowseResultsRow1,self).__init__(owner,locatordict,row_num... | python |
import argparse
import csv
import sqlite3
import sys
import random
import time
import sys
import math
#c.execute(UPDATE {} SET member=? WHERE callsign LIKE ?
find_parent_sql = "SELECT * FROM orgs WHERE parentcallsign LIKE ?"
org_insert_sql = "INSERT INTO orgs VALUES(?,?,?)"
def update_org_id(table):
return "UPDA... | python |
import logging
import time
from celery import shared_task
from django.db import transaction
from pontoon.checks.utils import (
bulk_run_checks,
get_translations,
)
log = logging.getLogger(__name__)
@shared_task(bind=True)
def check_translations(self, translations_pks):
"""
Run checks on translatio... | python |
from datetime import datetime
import pytest
from sqlalchemy import create_engine
from sqlalchemy.exc import IntegrityError
from sqlalchemy.orm import Session
from optuna.storages.rdb.models import BaseModel
from optuna.storages.rdb.models import StudyModel
from optuna.storages.rdb.models import StudySystemAttributeMod... | python |
from typing import Any, Dict, Iterator, List, Optional
from loguru import logger
from pydantic import Field
from ..metadata_source import ColumnMetadata
from .external_metadata_source import (
ExternalMetadataSource,
ExternalMetadataSourceException,
)
try:
import boto3
import botocore
from mypy_b... | python |
from django.conf.urls import patterns, include, url
#from polls import views
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns('',
# Examples:
# url(r'^$', 'django_angularjs_rest.views.home', name='home'),
# url(r'^django_angularjs_rest/', include('django_angularjs_rest.foo.urls... | python |
from vk import VKAPI
class Photos(VKAPI):
method_class = 'photos'
def __init__(self, access_token=''):
super(Photos, self).__init__(access_token=access_token)
def confirm_tag(self, **params):
self.set_method('confirmTag')
return self.send(params)
def copy(self, **params)... | python |
from setuptools import setup, find_packages
from distutils.util import convert_path
long_description ="""
# Virtual Pi
The easiest way to use this package is to install using pip3 for python 3
```bash
$ sudo pip3 install VPi
```
To use the mock or virtual pi just type the following at the beginning of your script.... | python |
# Concatenate strings in a (nested) list
# 1. concatenate strings in a non-nested list
# 2. list are themselves lists
def concat_str(string_list):
"""
Concatenate all the strings in a possibly-nested list of strings
@param str|list(str|list(...)) string_list: this string list.
@rtype: str
>>> lis... | python |
from __future__ import absolute_import, unicode_literals
import os
from setuptools import find_packages, setup
version = __import__('logtailer').__version__
def read(fname):
# read the contents of a text file
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="django-logtai... | python |
##TODO: move this to a common location
from db_password import DB_PASSWORD
DB_ENGINE = "postgresql_psycopg2"
DB_NAME = "testdb"# "ConceptNet"
DB_HOST = "localhost" # or whatever server it's on
DB_PORT = "5432" # or whatever port it's on
DB_USER = "pat" # change this to your PostgreSQL username
DB_SCHEMA... | python |
from flask import Blueprint
from flask import request
from flask import jsonify
from dock.common.exceptions import AppBaseException
blueprint = Blueprint('transaction', __name__, url_prefix='/transaction')
class Provision(object):
def __init__(self):
pass
@classmethod
def create(cls, p):
... | python |
#!/usr/bin/env python3
import argparse
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader
import learn2learn as l2l
from learn2learn.data.transforms import NWays, KShots, LoadData, RemapLabels
def pairwise_distances_logits(a, b):
n = a.... | python |
"""Shared pytest fixtures."""
import os
import re
import unittest.mock as mock
from http.server import HTTPServer
import pytest
from pywemo import SubscriptionRegistry
@pytest.fixture(scope='module')
def vcr_config():
"""VCR Configuration."""
def scrub_identifiers(response):
body = response['body'... | python |
import json
import pickle
import sqlite3
import time
import pandas as pd
from old.src.Model.Redis_connecter import RedisConn
def picklify(df):
dt_bytes = pickle.dumps(df)
return dt_bytes
def res_depicklify_to_list():
r = RedisConn().r
db = sqlite3.connect("t0419.db")
res = []
count = r.scar... | python |
"""
gcae.py
PyTorch-Lightning Module Definition for the No-Language Latent Actions GELU Conditional Auto-Encoding (GCAE) Model.
"""
from pathlib import Path
from typing import Any, List, Tuple
import pytorch_lightning as pl
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim... | python |
# Sample file to deploy Cubes slicer as a WSGI application
import sys
import os.path
import ConfigParser
CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
CONFIG_PATH = os.path.join(CURRENT_DIR, "slicer.ini")
try:
config = ConfigParser.SafeConfigParser()
config.read(CONFIG_PATH)
except Exception as e... | python |
#
# PySNMP MIB module ADAPTECSCSI-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ADAPTECSCSI-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:13:33 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27... | python |
import requests, zipfile, io, subprocess, os, sys
from datetime import datetime
from dotenv import load_dotenv
load_dotenv()
ZIP_FILE_URL = os.getenv('ZIP_FILE_URL')
if not ZIP_FILE_URL:
sys.exit('Error getting zip file url from env')
try:
r = requests.get(ZIP_FILE_URL)
except:
sys.exit('Error getting fi... | python |
from behave import then
@then("The response status is {response_status:d}")
def check_response_status(context, response_status):
assert context.status == response_status
| python |
import tensorflow as tf
import tensorflow.keras.backend as K
from tensorflow.keras.models import Model, Sequential
from tensorflow.keras.layers import Layer
from tensorflow.keras.layers import (Input, Concatenate, Dense, Activation,
BatchNormalization, Reshape, Dropout,
... | python |
import os
import sys
import dicom
import numpy as np
# import SimpleITK as sitk
from matplotlib import use
use("Qt4Agg")
from matplotlib import pyplot as plt
from matplotlib.backends.backend_qt4agg import FigureCanvasQTAgg as FigureCanvas
from matplotlib.figure import Figure
from matplotlib.patches import Polygon
from... | python |
import os
import torch
import shutil
import pickle
import numpy as np
from tqdm import tqdm
from pathlib import Path
from torch.utils.data import Dataset
class P3B3(Dataset):
"""P3B3 Synthetic Dataset.
Args:
root: str
Root directory of dataset where CANDLE loads P3B3 data.
part... | python |
# -*- coding: utf-8 -*-
"""
Natural Convection heat transfer calculation based on Churchill and Chu correlation
"""
def Churchill_Chu(D, rhof, Prf, kf, betaf, alphaf, muf, Ts, Tinf):
"""
Natural Convection heat transfer calculation based on Churchill and Chu correlation
:param D: [m] Pipe inside di... | python |
import functools
import numpy as np
import unittest
from scipy.stats import kendalltau, pearsonr, spearmanr
from sacrerouge.data import Metrics
from sacrerouge.stats import convert_to_matrices, summary_level_corr, system_level_corr, global_corr, \
bootstrap_system_sample, bootstrap_input_sample, bootstrap_both_sam... | python |
from argparse import ArgumentParser
def parse_args():
parser = ArgumentParser(description="An auto downloader and uploader for TikTok videos.")
parser.add_argument("user")
parser.add_argument(
"--no-delete", action="store_false", help="don't delete files when done"
)
parser.add_argument(
... | python |
from random import randint
from lotto import getLotto
from wc.wc import WC
def getBoard(width=5, height=5, extra=75 - 5 * 5):
lotto = getLotto(width, height, extra)
board = [[lotto.draw() for _ in range(width)] for __ in range(height)]
# TODO free spaces
return Board(board, width, height)
def transpose(board): r... | python |
from infra.controllers.contracts.http import HttpRequest
from cerberus import Validator
from infra.controllers.validators.ports import CerberusErrors, PayloadValidator
from utils.result import Error, Ok, Result
class AddNewDebtValidator(PayloadValidator):
def __init__(self) -> None:
self.schema = {
... | python |
# Generated by Django 2.2.13 on 2020-10-27 04:49
from django.db import migrations
import wagtail.core.blocks
import wagtail.core.fields
class Migration(migrations.Migration):
dependencies = [
("navigation", "0002_remove_pri_sec_footer_navs"),
]
operations = [
migrations.AddField(
... | python |
# Copyright 2019 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://www.apache.org/licenses/LICENSE-2.0
#
# or in the "l... | python |
# ----------------------------------------------------------------------------
# Copyright (c) 2016-2018, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... | python |
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 4 22:53:41 2016
@author: midhununnikrishnan
"""
import numpy as np
import combinatorics as cb
def sumofdigits(G,k=1)->int:
"""find + of digits
"""
su = 0
while G > 0:
if k == 1:
su += (G%10)
else:
su += (G%... | python |
from lacore.adf.persist import make_adf
from lacore.archive import restore_archive as _restore_archive
from lacli.nice import with_low_priority
from lacli.hash import HashIO
def archive_handle(docs):
h = HashIO()
make_adf(docs, out=h)
return h.getvalue().encode('hex')
restore_archive = with_low_priority(... | python |
import pandas as pd
def find_related_cols_by_name(dataframe_list, relationship_dict=None):
# dataframe_list
# List of pandas dataframe objects
#
# relationship_dict
# This is an existing relationship_dict. If None, a new
# relationship_dict should be created
###
# Studen... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 5 10:15:25 2021
@author: lenakilian
"""
import pandas as pd
import copy as cp
import geopandas as gpd
wd = r'/Users/lenakilian/Documents/Ausbildung/UoLeeds/PhD/Analysis/'
years = list(range(2007, 2018, 2))
geog = 'MSOA'
yr = 2015
dict_cat = 'c... | python |
"""
Provides helping function for issues.
"""
import copy
from json import JSONDecodeError
from math import ceil
from typing import Optional, List, Collection, Dict
import arrow
from pyramid.request import Request
from slugify import slugify
from dbas.database import DBDiscussionSession
from dbas.database.discussion_... | python |
# Generated by Django 3.0.7 on 2020-07-12 09:58
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('admin_app', '0004_order_arsip'),
]
operations = [
migrations.AddField(
model_name='order',
name='p1_a',
... | python |
import torch
import torch.nn as nn
from torchvision import models
from torchvision import transforms
from bench_press.models.modules.spatial_softmax import SpatialSoftmax
pretrained_model_normalize = transforms.Normalize(mean=[0.485, 0.456, 0.406],
std=[0.229, 0.224, ... | python |
import arcade
import math
import random
import settings
# default window
SCREEN_WIDTH = 800
SCREEN_HEIGHT = 600
SCREEN_TITLE = "WeFly X Charlie"
BULLET_SPEED = 2
Score = 0
INSTRUCTIONS_PAGE_0 = 0
INSTRUCTIONS_PAGE_1 = 1
GAME_RUNNING = 2
GAME_OVER = 3
WIN = 4
position_y_1 = 600
position_y_2 = 0
# default boss' propert... | python |
from Crypto.Cipher import AES
import base64
import hashlib
def jm_sha256(data):
sha256 = hashlib.sha256()
sha256.update(data.encode("utf-8"))
res = sha256.digest()
# print("sha256加密结果:", res)
return res
def pkcs7padding(text):
bs = AES.block_size
length = len(text)
... | python |
import os
import sentry_sdk
from sentry_sdk.integrations.django import DjangoIntegration
DEBUG = False
DOMAIN_NAME = "deeptipandey.site"
AWS_STORAGE_BUCKET_NAME = AWS_BUCKET_NAME = os.getenv("AWS_BUCKET_NAME", "")
AWS_ACCESS_KEY_ID = os.getenv("AWS_ACCESS_KEY_ID", "")
AWS_SECRET_ACCESS_KEY = os.getenv("AWS_SECRET_AC... | python |
'''
Задача 1
Вывести на экран циклом пять строк из нулей, причем каждая строка должна быть пронумерована.
'''
print("Задача 1")
for i in range(1, 6):
print(i, 0)
i += 1
'''
Задача 2
Пользователь в цикле вводит 10 цифр. Найти количество введеных пользователем цифр 5.
'''
print("Задача 2")
count = 0
for i in ran... | python |
#coding=utf-8
import os, re, sys
import json
import datetime
from openpyxl import load_workbook
def parse_cell_value(value):
#布尔类型
if isinstance(value, bool):
return value
#int类型
if isinstance(value, int):
return value
#float类型
if isinstance(value, float):
return value
... | python |
import os.path
from data.base_dataset import BaseDataset, get_transform
from data.image_folder import make_dataset
from PIL import Image
import random
import util.util as util
import numpy as np
class ConditionalDataset(BaseDataset):
"""
This dataset class can load unaligned/unpaired datasets with classes.
... | python |
import json
import urlparse
import sys
def handle(req):
"""handle a request to the function
Args:
req (str): request body
"""
sys.stderr.write(req)
qs = urlparse.parse_qs(req)
if "user_name" in qs:
if not qs["user_name"][0] == "slackbot":
emoticons = ""
... | python |
import numpy as np
import matplotlib.pyplot as plt
class PlotDrawer:
@staticmethod
def draw(mfcc_data):
PlotDrawer.__prepare_plot(mfcc_data)
plt.show()
# plt.close()
@staticmethod
def save(filename, mfcc_data):
PlotDrawer.__prepare_plot(mfcc_data)
plt.savefig(... | python |
import datetime
import io
import operator
import os
import re
from zipfile import ZipFile
# def make_entry(entry):
# if isinstance(entry, Entry):
# return entry
# mtime = os.path.getmtime(entry)
# return Entry(entry, mtime)
# handlers = {
# ".zip": (lambda x: None)
# }
# class DirectoryHand... | python |
# Copyright (c) 2014 Rackspace Hosting
# 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 req... | python |
#!/usr/bin/python
import random
import math
import shelve
import os
#initialize constants
STARTING_AMOUNT = 1000
MAX_BETS = 10000
#ROUND_LIMIT = 500000
ROUND_LIMIT = 5000
#whether or not to give verbose terminal output for each round of gambling
#note: with short rounds, terminal output becomes a significant bottlenec... | python |
# Copyright 2016 Ericsson AB.
#
# 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... | python |
import mfclient
import mf_connect
import csv
import time
projSummary = "MFProjectSummary"
storeSummary = "MFStoreSummary"
timestr = time.strftime("%Y%m%d-%H%M%S")
with open(projSummary+timestr+".csv", 'ab') as f:
header = ["project","allocation","usage"]
writer = csv.writer(f)
writer.writerow(header)
... | python |
from flask import jsonify, request, abort, Blueprint
from ..auth0 import auth
from ..auth0.authManagementAPI import *
from datetime import *
from ..db.models import *
api = Blueprint('api', __name__)
# build Auth0 Management API
builder = Auth0ManagementAPIBuilder()
auth0api = builder.load_base_url(). \
load_acce... | python |
from _collections import deque
def solution():
people = deque()
while True:
name = input()
if name == 'End':
print(f'{len(people)} people remaining.')
break
elif name == 'Paid':
while people:
popped_person = people.popleft()
... | python |
from numpywren import compiler, frontend, exceptions
import unittest
import astor
import ast
import inspect
def F1(a: int, b: int) -> int:
return a//b
def F2(a: float, b: int) -> float:
return a + b
def F3(a: float, b: int) -> float:
c = a + b
d = log(c)
e = ceiling(d)
return c
def F4(a:... | python |
from datetime import date
from new_movies import movies_directory
from new_movies.configuration import UNLIMITED_WATCHING_START_DATE, UNLIMITED_WATCHING_END_DATE
from new_movies.exceptions import NoCreditsForMovieRent, MovieNotFound, ViewsLimitReached
from new_movies.movie import Movie
from new_movies.rented_movie imp... | python |
################################################################################
#
# Implementation of angular additive margin softmax loss.
#
# Adapted from: https://github.com/clovaai/voxceleb_trainer/blob/master/loss/aamsoftmax.py
#
# Author(s): Nik Vaessen
###########################################################... | python |
#!/usr/bin/env python
import os
import sqlite3
from datetime import datetime
from getpass import getuser
from bashhistory import db_connection
class SQL:
COLUMNS = [
"command",
"at",
"host",
"pwd",
"user",
"exit_code",
"pid",
"sequence",
]
CREATE_COMMANDS: str = """
DROP TA... | python |
import numpy as np
import pandas as pd
def print_matrix(matrix):
pd.set_option('display.max_rows', len(matrix))
print()
print(matrix)
def normalize(matrix):
return matrix.div(matrix.sum(axis=1), axis=0)
def generate_matrix(data):
key_set = set(data.keys())
for edges in data.values():
... | python |
from ad_api.base import Client, sp_endpoint, fill_query_params, ApiResponse
class NegativeTargets(Client):
"""Amazon Advertising API for Sponsored Display
Documentation: https://advertising.amazon.com/API/docs/en-us/sponsored-display/3-0/openapi#/Negative%20targeting
This API enables programmatic access ... | python |
from vpython import *
scene.title = "VPython: Draw a sphere"
sphere() # using defaults
#see http://www.vpython.org/contents/docs/defaults.html | python |
# -*- coding: utf-8 -*-
import requests
#resp = requests.post("http://localhost:5000/predict", json={"raw_text":"how do you stop war?"})
# resp_prod = requests.post("http://213.159.215.173:5000/get_summary", json={"raw_text":"A significant number of executives from 151 financial institutions in 33 countries say that ... | python |
# Generated by Django 3.2.6 on 2021-09-01 20:45
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('produtos', '0004_ajuste_produtos'),
]
operations = [
migrations.CreateModel(
name='Fornecedor',... | python |
import os
dirpath = os.pardir
import sys
sys.path.append(dirpath)
import torch.utils.model_zoo as model_zoo
from torch.autograd import Variable
from torch.optim import lr_scheduler
import resnet_epi_fcr
import resnet_vanilla
import resnet_SNR
import resnet_se
from common.data_reader import BatchImageGenerator
from c... | python |
from rest_framework.permissions import IsAuthenticated
from rest_framework.viewsets import ModelViewSet
from .models import (
Cart,
Item
)
from .serializers import (
CartSerializerDefault,
CartSerializerPOST,
ItemSerializerDefault,
ItemSerializerPOST
)
class CartViewSet(ModelViewSet):
... | python |
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