content stringlengths 0 894k | type stringclasses 2
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|---|---|
#coding:utf-8
#
# id: bugs.core_1056
# title: A query could produce different results, depending on the presence of an index
# decription:
# tracker_id: CORE-1056
# min_versions: []
# versions: 2.0
# qmid: bugs.core_1056
import pytest
from firebird.qa import db_factory, isql_act, Acti... | python |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.1 on 2016-02-22 19:08
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mimicon2016', '0001_initial'),
]
operations = [
migrations.AlterField(
model_name='signupextra',
... | python |
from django.contrib import admin
from models import *
# Register your models here.
class CategoryAdmin(admin.ModelAdmin):
list_display = ['id', 'title']
class GoodsInfoAdmin(admin.ModelAdmin):
list_display = ['id', 'title', 'price', 'unit', 'click', 'inventory', 'detail', 'desc', 'image']
admin.site.regis... | python |
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from app import db, login_manager
@login_manager.user_loader
def load_user(id):
return User.query.get(int(id))
dictionary_table = db.Table('dictionary',
db.Column('user_id', d... | python |
from typing import List, Tuple
import torch
from torch.utils.data import Dataset
from .feature import InputFeature
class FeaturesDataset(Dataset):
def __init__(self, features: List[InputFeature]):
self.features = features
def __len__(self,):
return len(self.features)
def __getitem__(s... | python |
# Lint as: python2, python3
# Copyright 2019 Google LLC. 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/env python3
"""Emulate a client by calling directly EC2 instance."""
import os
import sys
import json
import logging
# AWS Lambda does not ship requests out of the box
# import requests
import urllib3
# Global configuration
logging.basicConfig(format='%(asctime)s %(levelname)s %(message)s', level=logging.IN... | python |
# -*- coding: utf-8 -*-
"""
Implement S3 Backed Binary and Unicode Attribute.
Since the content of big Binary or Unicode are not stored in DynamoDB, we
cannot use custom attriubte ``pynamodb.attributes.Attribute`` to implement it.
"""
import os
import zlib
from base64 import b64encode, b64decode
from pynamodb.model... | python |
# Copyright 2016 Isotoma 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing... | python |
from __future__ import print_function, division
import sys
sys._running_pytest = True
import pytest
from sympy.core.cache import clear_cache
def pytest_report_header(config):
from sympy.utilities.misc import ARCH
s = "architecture: %s\n" % ARCH
from sympy.core.cache import USE_CACHE
s += "cache: ... | python |
# -*- coding: utf-8 -*-
from .munsell import * # noqa
from . import munsell
__all__ = []
__all__ += munsell.__all__
| python |
import argparse
import importlib
from verify import mnist, cifar, imagenet
import time
def verify(args):
try:
net_class_module = importlib.import_module(args.netclassfile)
net_class = getattr(net_class_module, args.netclassname)
except Exception as err:
print('Error: Import ... | python |
"""
Produces template's named argument to article categories mapping
"""
from __future__ import print_function
import logging
import json
import re
from collections import defaultdict
from mwclient.client import Site
import requests
logging.basicConfig(level=logging.INFO)
def get_articles_from_top_categories(site... | python |
"""
BaMi_optimal.py - compares BaMiC with BaMiF and includes the (according to us) optimal integration strategies.
"""
import sys
import matplotlib.pyplot as plt
from pywmi.engines.xsdd.literals import LiteralInfo
from _pywmi.vtree.bottomup_elimination import bottomup_balanced_minfill as bamif
from _pywmi.vtree.topdow... | python |
# Lint as: python3
# Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless ... | python |
#!/usr/bin/env python3
# Copyright 2021 Cloudera, 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... | python |
# by amounra 0216 : http://www.aumhaa.com
# written against Live 9.6 release on 021516
from __future__ import absolute_import, print_function
import Live
import math
from ableton.v2.base import inject, listens
from ableton.v2.control_surface import ControlSurface, ControlElement, Layer, Skin, PrioritizedResource, Co... | python |
# <Copyright 2019, Argo AI, LLC. Released under the MIT license.>
"""Collection of utility functions for Matplotlib."""
from typing import Any, Dict, List, Optional, Tuple, Union
import matplotlib.pyplot as plt
import numpy as np
from descartes.patch import PolygonPatch
from matplotlib.animation import FuncAnimation
... | python |
from fastapi.testclient import TestClient
from app.main import app
client = TestClient(app)
def test_valid_input():
"""Return 200 Success when input is valid."""
response = client.post(
'/predict',
json={
'title': 'Water bike',
'blurb': 'A bike that floats',
... | python |
encode,decode=lambda s:''.join(c//200*"🫂"+c%200//50*"💖"+c%50//10*"✨"+c%10//5*"🥺"+c%5*","+(c==0)*"❤️"+"👉👈"for c in s.encode()),lambda s:bytes([200*(c:=b.count)("🫂")+50*c("💖")+10*c("✨")+5*c("🥺")+c(",")for b in s.split("👉👈")[:-1]]).decode()
| python |
# -*- coding: utf-8 -*-
"""Sweep config interface."""
from .cfg import SweepConfig, schema_violations_from_proposed_config
from .schema import fill_validate_schema, fill_parameter, fill_validate_early_terminate
__all__ = [
"SweepConfig",
"schema_violations_from_proposed_config",
"fill_validate_schema",
... | python |
from typing import Callable
from fastapi import FastAPI
from app.db.init_db import init_db, create_engine
def create_startup_handler(app: FastAPI, db_url: str) -> Callable:
async def startup() -> None:
engine = create_engine(db_url)
await init_db(engine)
app.state.alchemy_engine = engine... | python |
__author__ = 'socialmoneydev'
from jsonBase import JsonBase
from programlimit import ProgramLimit
from programinterestrate import ProgramInterestRate
class ProgramChecking(JsonBase):
def isHashedPayload(self):
return True
def __init__(self):
self.category = None
self.type = None
... | python |
#!/usr/local/bin/python3.5 -u
answer = 1 + 7 * 7 - 8
print(answer)
| python |
__version__ = '0.1.5'
name = "drf_scaffold"
| python |
def count_prime_fuctors(n, c):
# count the number of primes in particular number
# argument `c` should be Counter class
if n<2:
return
m=n
i=2
while i<=m:
while m%i==0:
m//=i
c[i]+=1
i+=1
from collections import Counter
n=int(input())
d=Counter()
... | python |
#from time import sleep
class SessionHelper():
def __init__(self, app):
self.app = app
def login(self, user_email, password):
driver = self.app.driver
self.app.open_page()
#driver.find_element_by_id("email").click()
driver.find_element_by_id("email").send_keys(user_ema... | python |
#!/bin/env python
# Copyright 2021 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agre... | python |
# vim: set tabstop=4 shiftwidth=4 expandtab
##############################################################################
# Written by: Brian G. Merrell <bgmerrell@novell.com>
# Date: 12/03/2008
# Description: helpprovider.py wrapper script
# Used by the helpprovider-*.py tests
###################... | python |
import warnings
import numpy as np
from scipy._lib.six import callable, string_types
from scipy._lib.six import xrange
from scipy.spatial import _distance_wrap
from scipy.linalg import norm
import MyTimer
_SIMPLE_CDIST = {}
def _copy_array_if_base_present(a):
"""
Copies the array if its base points to a par... | python |
class Color(object):
RESET = '\x1b[0m'
BLACK = 0
RED = 1
GREEN = 2
YELLOW = 3
BLUE = 4
MAGENTA = 5
CYAN = 6
WHITE = 7
NORMAL = 0
BOLD = 1
@staticmethod
def to_color_string(string,
foreground = 7,
... | python |
import os
import unittest
import pytest
from github import GithubException
from ogr import GithubService
from ogr.abstract import PRStatus, IssueStatus
from ogr.persistent_storage import PersistentObjectStorage
from ogr.exceptions import GithubAPIException
DATA_DIR = "test_data"
PERSISTENT_DATA_PREFIX = os.path.join... | python |
# django
from django import forms
# local django
from exam.models import CustomExam
from exam.validators import CustomExamValidator
class CreateCustomExams(forms.ModelForm):
"""
Form to create a custom exam.
"""
description = forms.CharField(widget=forms.Textarea)
class Meta:
# Define m... | python |
# Generated by Django 2.2 on 2020-08-09 06:03
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('coupons', '0003_coupon_max_discount'),
]
operations = [
migrations.AlterField(
model_name='coupon',
name='max_discount... | python |
import threading
from Queue import Empty, Full
from multiprocessing import Process, Queue, Value
import datetime
import os
import zmq
import logging
from logging import handlers
from platformData import *
from BEMOSSThread import BThread, BProcess
from commandProcessor import processCommand
import cgitb
cgitb.enable... | python |
from tabulate import tabulate
table = [['one','two','three'],['four','five','six'],['seven','eight','nine']]
print(tabulate(table, tablefmt='html'))
"""Generate Report Function"""
with open('example.log') as f:
lines = f.readlines()
print lines
print(lines[2])
HTML_file= open("Report.html","w+")
HTML_... | python |
'''
Environment simulators.
'''
from models.simulator import POMDPSimulator
from models.simulator_momdp import MOMDPSimulator
from models.tiger import TigerPOMDP
from models.rock_sample import RockSamplePOMDP
from models.tools.belief import DiscreteBelief
| python |
"""
Uma matriz de confusão. Não confundir com uma tabela de confusão.
A matrix de confusão possui mais do que uma duas linhas e duas colunas,
por isso difere da tabela de confusão, que possui duas linhas e duas colunas
Para criar a matriz de confusão escolhi o formato de dictionary da seguinte maneira... | python |
## process_rootroopnft.py
# first let's just check how many tweets it grabbed.
with open("rootroopnft.txt", "r") as fid:
line = fid.read()
# end with open
line = line.split("Tweet(url=")
print("line[0]: ", line[0])
print("line[-1]: ", line[-1])
last_date = line[-1].split("date=datetime.datetime(")[1].split(", tzin... | python |
import cv2
import numpy as np
class ColorTrack():
def __init__(self):
pass
def detect_green(self,frame):
return self.detect_color(frame,np.array([33,80,40]),np.array([102, 255, 255]))
def detect_red(self,frame):
return self.detect_color(frame,np.array([78, 43, 46]), np.array([99,... | python |
from __future__ import print_function, absolute_import
import sys
import subprocess
from distutils.errors import DistutilsPlatformError
import semantic_version
class Binding:
"""
Binding Options
"""
# https://github.com/PyO3/PyO3
PyO3 = 0
# https://github.com/dgrunwald/rust-cpython
RustCP... | python |
# imports
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.support.ui import WebDriverWait
from bs4 import BeautifulSoup
import time
import re
import csv
# easy function for viewing list
def printlist(list):
length=len(list)
for i in range(length):
... | python |
"""The SquonkServer class handles get, post and delete requests against
the squonk base_url using the SquonkAuth class to refresh the
authentication token when required.
"""
import requests
import json
import logging
from email.policy import default
from collections import namedtuple
try:
from .Squo... | python |
# -*- coding: utf-8 -*-
import logging
from mathutils import Vector
class BlockDef(object):
class _BlockItem(object):
def __init__(self, name="", color=(0, 0, 0), block_def=(35, None)):
self._name = name
self._color = color
self._block_def = block_def
@property... | python |
from flask_wtf import FlaskForm
from wtforms import StringField, DateField, SubmitField
from wtforms.validators import DataRequired
class QuestionsForm(FlaskForm):
class Meta:
csrf = False
# Example of defining a field. A in depth description can be found.
# field_name = FieldType(label, descriptio... | python |
import numpy as np
import torch
import torch.nn as nn
from torch.autograd import Variable
from scipy.special import factorial2
class Hermite:
def __init__(self, num_pol = 5):
self.h = []
def h0(x): return torch.ones_like(x)
self.h.append(h0)
def h1(x): return x
sel... | python |
import numpy as np
import math
import cv2
class PSNR():
def __init__(self, range=1):
self.range = range
def __call__(self, img1, img2):
mse = np.mean((img1 - img2) ** 2)
return 20 * math.log10(self.range / math.sqrt(mse))
class SSIM():
def __init__(self, range=1):
self.r... | python |
from excursion.sampler import *
from excursion.models import ExcursionModel, SKLearnGP
from excursion.acquisition import *
from excursion.excursion import ExcursionProblem, ExcursionResult
# # move this into the excursion result, unless we add scikit learn implementation # #
def build_result(details: ExcursionProble... | python |
def settings ():
# Input manually all extensions and copy settings
extensions = []
key = "Y"
while (key != "N"):
extension = str(input("Enter a extension to search and organize: ")).strip().replace(".", "").lower()
extensions.append(extension)
key = str(input("Continue? Y/N: ")... | python |
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'resources/treeDialog.ui'
#
# Created by: PyQt5 UI code generator 5.13.0
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_TreeDialog(object):
def setupUi(self, TreeDialog):
... | python |
# Crie um programa que leia algo e mostre seu tipo pimitivo e todas as informações possíveis sobre ele.
print('=-'*7, 'DESAFIO 4', '=-'*7)
n = input('Digite algo: ')
print('O tipo primitivo desse valor é {}.'.format(type(n))) # Ponto de melhoria!
print('Só tem espaços? {}'.format(n.isspace()))
print('É um número? {}'.... | python |
import sys
import math
import json
class Point:
def __init__(self, x, y, z, index):
self.x = x
self.y = y
self.z = z
self.index = index
def getDist(a, b):
return math.sqrt((a.x - b.x)*(a.x - b.x) + (a.y - b.y)*(a.y - b.y) + (a.z - b.z)*(a.z - b.z))
for arg in sys.argv:
fi... | python |
from scipy import interp
import numpy as np
from itertools import cycle
from sklearn.metrics import roc_curve, auc
from sklearn.metrics import precision_recall_curve
from sklearn.metrics import average_precision_score
from itertools import cycle
import matplotlib.pyplot as plt
def plot_roc_pr(
y_pred : np.ndar... | python |
class withdelta(object):
"""
Wraps any object into the `value` property, and adds a `delta` floating point property
that can be used to store extra information, such as percentage of improvement over a
over a different values.
All the attributes are forwarded to `value`, except for `value` and `del... | python |
class Dummy(object):
def purge(self, path):
pass
| python |
"""
cluster_graph.py
ClusterGraph are a class for tracking all possible smirks decorators in a group
(or cluster) of molecular fragments. Moving forward these will be used to
find the minimum number of smirks decorators that are required to have a
set of smirks patterns that maintain a given clustering of fragments.
"... | python |
from abc import ABC
from typing import Any
class IWord(ABC):
command: Any
class Word(IWord):
def __init__(self, command=None):
self.command = command
self.address = 0
def dump(self): return self.command.dump()
@property
def original(self): return self.command.original
def ... | python |
#!/usr/bin/env python3
import argparse
import os
def main(dir):
with open(os.path.join(dir, 'text'), 'w', encoding='utf-8') as out_f:
for line in open(os.path.join(dir, 'text.ort2'), encoding='utf-8'):
key, sent = line.strip().split(None, 1)
if len(sent) > 0 and sent[0] == "*":
... | python |
import json
import unittest
import urllib.request
from multiprocessing.dummy import Pool
from tests.gunicorn_utils import run_gunicorn
def run_code_in_snekbox(code: str) -> tuple[str, int]:
body = {"input": code}
json_data = json.dumps(body).encode("utf-8")
req = urllib.request.Request("http://localhost... | python |
import numpy as np
import tensorflow as tf
import random as rn
from keras.layers import multiply,concatenate,Embedding
from keras.layers.merge import dot
from keras import backend as K
from keras.models import Sequential
# The below is necessary in Python 3.2.3 onwards to
# have reproducible behavior for certain hash... | python |
from __future__ import print_function
import os
import sys
from burlap import ServiceSatchel
from burlap.constants import *
from burlap.decorators import task
class ApacheSatchel(ServiceSatchel):
name = 'apache'
post_deploy_command = 'reload'
templates = [
'{site_template}',
]
@proper... | python |
import requests
import nels_master_api
def get_nels_ids():
try:
ids = []
response = requests.get(nels_master_api.get_full_url("users/ids" ),auth=(nels_master_api.CLIENT_KEY, nels_master_api.CLIENT_SECRET))
if(response.status_code == requests.codes.ok):
json_response = response.... | python |
import pandas as pd
import math
data = pd.read_csv('data/DATALOG2.CSV', delimiter=",",
names=['date', 'time', 'lat', 'lon', 'vgps', 'velocity', 'course', 'heading', 'pitch', 'roll'])
# data['vhead'] = data['velocity']*math.cos(math.pi/180*(data['course']-data['heading']))
data['drift'] = data.apply(... | python |
import logging
import multiprocessing
import multiprocessing_logging
import os
log_level_from_env = os.environ.get('LOGLEVEL', '').upper()
log_format = '%(asctime)s %(levelname)s %(filename)s:%(lineno)d %(funcName)s %(message)s'
log_level = logging.DEBUG if log_level_from_env == 'DEBUG' else logging.INFO
logging.basi... | python |
## Data and Visual Analytics - Homework 4
## Georgia Institute of Technology
## Applying ML algorithms to detect seizure
import numpy as np
import pandas as pd
import time
from sklearn.model_selection import cross_val_score, GridSearchCV, cross_validate, train_test_split
from sklearn.metrics import accuracy_score, cl... | python |
#!/usr/bin/env python
from __future__ import absolute_import
import os
import shutil
import time
import datetime
from flask.ext.script import Manager
from modelconvert import create_app
from modelconvert.utils import fs
app = create_app()
manager = Manager(app)
@manager.command
def run():
app.run(threaded=Tr... | python |
"""Configuration classes for ``varfish-cli case *`` commands."""
import attr
import uuid
import typing
from ..common import CommonConfig
@attr.s(frozen=True, auto_attribs=True)
class CaseConfig:
"""Configuration for the ``varfish-cli case`` command."""
#: Global configuration.
global_config: CommonCon... | python |
import subprocess
import sys
import os
import time
import cProfile
def prepare_io(list_of_files, exe_file, input_path, output_path, job_number):
# read file names
with open(list_of_files, "r") as files_to_read:
list_files = files_to_read.read().split("\n")
job_number = int(job_number) - 1
inpu... | python |
import numpy as np
# Collection of activation functions
# Reference: https://en.wikipedia.org/wiki/Activation_function
class Sigmoid():
def __call__(self, x):
return 1 / (1 + np.exp(-x))
def gradient(self, x):
return self.__call__(x) * (1 - self.__call__(x))
class Softmax():
def __call__... | python |
#!/usr/bin/env python3.7
import sys
from blist import blist
from collections import defaultdict
# Solution to the day 9 puzzle from Advent of Code 2018.
# https://adventofcode.com/2018/day/9
def parse_data(filename):
""" Load the data from FILENAME. """
data = list()
with open(filename) as f:
el... | python |
import time
import hashlib
import requests
import urllib3
from lxml import etree
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
def xdl_proxy(orderno, secret, host, port):
host_port = host + ":" + port
# get sign
timestamp = str(int(time.time()))
string = ""
str... | python |
# -*- coding: utf8 -*-
"""
======================================
Project Name: NLP
File Name: utils
Author: czh
Create Date: 2021/8/6
--------------------------------------
Change Activity:
======================================
"""
import torch
import torch.nn as nn
import torch.nn.functional as ... | python |
'''
Author: Mario Liu
Description: Module to detect faces with R200 camera.
Adapted from
https://docs.opencv.org/3.4.3/d7/d8b/tutorial_py_face_detection.html
'''
import logging
logging.basicConfig(level=logging.INFO)
import time
import numpy as np
import cv2
import pyrealsense as pyrs
face_cascade = cv2.CascadeClass... | python |
import cv2
import numpy as np
from matplotlib import pyplot as plt
img = cv2.imread('sud2.jpeg',0)
img = cv2.medianBlur(img,5)
ret,th1 = cv2.threshold(img,127,255,cv2.THRESH_BINARY)
th2 = cv2.adaptiveThreshold(img,255,cv2.ADAPTIVE_THRESH_MEAN_C,\
cv2.THRESH_BINARY,11,2)
th3 = cv2.adaptiveThreshold(img,255... | python |
#
# Imported module functions
#
#https://camo.githubusercontent.com/582226b9ba41bcbc13eaa81d2764092abb443bd416578c175bc2c1c5742d0647/68747470733a2f2f692e696d6775722e636f6d2f6b7a6978316a492e706e67
# Use our SimpleRequests module for this experimental version.
from SimpleRequests import SimpleRequest
from SimpleRequests.... | python |
from __future__ import annotations
from spark_auto_mapper_fhir.fhir_types.uri import FhirUri
from spark_auto_mapper_fhir.value_sets.generic_type import GenericTypeCode
from spark_auto_mapper.type_definitions.defined_types import AutoMapperTextInputType
# This file is auto-generated by generate_classes so do not edi... | python |
import json
from itertools import groupby
from operator import itemgetter
import django
from django import forms
from django.conf import settings
from django.contrib.admin.views.decorators import staff_member_required
from django.contrib.contenttypes.models import ContentType
from django.core.exceptions import ObjectD... | python |
# Sum Compare
# Get 3 numbers from the user. Find the
# biggest number and add them all together.
# If the sum is bigger than 2 times the
# biggest of the 3 numbers, then print the sum.
# If it's smaller, multiply the sum by 3 and print the product.
# write code here
| python |
import tensorflow as tf
import math
class BatchNormalization(tf.keras.layers.BatchNormalization):
"""Make trainable=False freeze BN for real (the og version is sad).
ref: https://github.com/zzh8829/yolov3-tf2
"""
def call(self, x, training=False):
if training is None:
training =... | python |
"""
Some simple code to make particle flux spectrograms with matplotlib
@author: Liam M. Kilcommons
(minor modifications R. Redmon, A.G. Burrell)
"""
import numpy as np
import matplotlib.pyplot as pp
import datetime as dt
def dmsp_spectrogram(times, flux, channel_energies=None, lat=None, lt=None,
... | python |
from django.apps import apps
from django.forms.models import ModelChoiceField, ModelMultipleChoiceField
from django.forms import ChoiceField
from smart_selects.widgets import ChainedSelect, ChainedSelectMultiple
try:
from django.utils.encoding import force_text
except ImportError:
from django.utils.encoding imp... | python |
class Person(object):
def demo(self):
print('888') | python |
import datetime
import json
import argparse
from typing import Any, Dict
import pytz
from astral import LocationInfo, Observer, sun
options = argparse.ArgumentParser()
options.add_argument(
"-n",
"--name",
dest="name",
default="Somewhere",
help="Location name (free-form text)",
)
options.add_argu... | python |
n, m = map(int, input().split())
if n == 1:
if m == 0:
print(1, 2)
else:
print(-1)
exit()
if m < 0 or m + 2 > n:
print(-1)
else:
print(1, 2 * (m + 2))
for i in range(1, m + 2):
print(2 * i, 2 * i + 1)
for j in range(m + 2, n):
print(2 * j + 1, 2 * j + 2) | python |
from sklearn import preprocessing
from tqdm import tqdm
import time
import pandas as pd
import numpy as np
import torch
import torch.nn as nn
from sklearn.metrics import accuracy_score, recall_score
from sklearn.metrics import precision_score, f1_score
from sklearn.metrics import classification_report
from core.utils... | python |
#Actualizado Lunes,28 de mayo dos mil diez y ocho
#Autor: Rosnel Alejandro Leyva-Cortes#
import os
import re
import sys
import struct
import socket
import urllib
import time
from subprocess import Popen, PIPE
import json as m_json
try:
from urllib.parse import urlparse
except ImportError:
from urlparse import u... | python |
import pymysql
from sshtunnel import SSHTunnelForwarder
class Database:
def initialize(self, server_name):
self.server = SSHTunnelForwarder(
'51.75.163.1',
ssh_username='karthik',
ssh_password='btm56Vy.3',
remote_bind_address=('127.0.0.1', 3306)
... | python |
class Station:
def __init__(self, station_id, direction, stop_name, station_name, accessible, red, blue, green, brown, purple, purple_exp, yellow, pink, orange, latitude, longitude):
self.station_id = station_id
self.direction = direction
self.stop_name = stop_name
self.station_name ... | python |
meses = {'January': 1, 'February': 2, 'March': 3, 'April': 4, 'May': 5, 'June': 6,
'July': 7, 'August': 8, 'September': 9, 'October': 10, 'November': 11, 'December': 12}
#entrada
mes = int(input())
#processamento & saída
for k, v in meses.items():
if v == mes:
print(k)
break
| python |
from gruffy import AccumulatorBar
g = AccumulatorBar()
g.title = "Gruffy's Graph"
g.data("add", [10, 50, 150, 20])
g.hide_legend = True
g.labels = {0: '2003', 1: '2004', 2: '2005', 3: '2006'}
g.transparent = 0.7
g.y_axis_increment = 50
g.maximum_value = 300
g.write('gruffy-accumulatorbar.png')
| python |
from sym_lis3 import GlobalEnv
import pytest
def test_dyn():
g = GlobalEnv()
g.eval_str('(define "foo" (lambda (x y) (if (in? dyn_env x) y 0)))')
assert not g.eval_str('(in? root_env "x")')
assert g.eval_str('(foo "x" 1)') == 1
assert g.eval_str('(foo "+" 1)') == 0
assert g.eval_str('(foo ... | python |
class BaseEngine:
def __init__(self, world):
self.world = world
self._cull_method = self.default_cull_method
def check_collision(self, entity, collider):
raise NotImplementedError('Nope.')
def resolve_collision(self, entity, collider):
raise NotImplementedError('No... | python |
from ..typecheck import *
from . layout import Layout
from . image import Image
from . css import css, div_inline_css, icon_css, none_css
class element:
def __init__(self, is_inline: bool, width: Optional[float], height: Optional[float], css: Optional[css]) -> None:
super().__init__()
self.layout = None #type: O... | python |
from django.core.mail import send_mail, EmailMessage
from django.forms import modelformset_factory
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render
from django.urls import reverse
from django.views import generic
from .models import Question, Choice, FilePathFieldForm
... | python |
from ...utils.IndexedRect import IndexedRect
class IndexedRectBuilder(object):
def __init__(self):
self.last_rect = None
self.initial_point = None
self.reset()
def set_initial_point(self, x, y):
self.initial_point = (x,y)
def get_initial_point(self):
return self.i... | python |
# -*- coding: utf-8 -*-
import binarybrain as bb
import binarybrain.core as core
import numpy as np
from typing import List
class Optimizer(bb.Object):
"""Optimizer の基本クラス
"""
def __init__(self, core_optimizer=None):
super(Optimizer, self).__init__(core_object=core_optimizer)
... | python |
#coding:utf8
# Author : tuxpy
# Email : q8886888@qq.com
# Last modified : 2015-03-26 13:14:11
# Filename : gale/utils.py
# Description :
from __future__ import unicode_literals
try: # py2
from urlparse import urlsplit
from urllib import unquote_plus
from urllib import quote... | python |
import cv2
import numpy as np
from matplotlib import pyplot as plt
# calculer difference entre les deux flow optique adjacents
def diffimage(lastframe, nextframe, size):
diff_frame = nextframe - lastframe
ABS = abs(diff_frame)
diff_value = (ABS.sum(axis = 0)).sum(axis = 0)/size
return diff_frame, dif... | python |
import pytest
from mcanitexgen.animation.parser import Duration, ParserError, Time, Timeframe, Weight
class Test_Timeframe_init:
@pytest.mark.parametrize(
"start, end, duration, expected_timeframe",
[
# Deduce end and duration
(0, None, None, Timeframe(0, 1, 1)),
... | python |
#!/usr/bin/env python3
from yaml import load
class ComposePlantuml:
def __init__(self):
pass
def parse(self, data):
return load(data)
def link_graph(self, compose, notes=False):
result = 'skinparam componentStyle uml2\n'
for component in sorted(self.components(compose))... | python |
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