content stringlengths 5 1.05M |
|---|
from click import ClickException, echo
class ProfileBuilderException(ClickException):
"""Base exceptions for all Profile Builder Exceptions"""
class Abort(ProfileBuilderException):
"""Abort the build"""
def show(self, **kwargs):
echo(self.format_message())
class ConfigurationError(ProfileBuild... |
# -*- coding:utf-8 -*-
"""
目标:能够使用多线程实现同时接收多个客户端的多条信息
1.TCP服务器端
(1) 实现指定端口监听
(2) 实现服务器端地址重用,避免"Address in use"错误。
(3) 能够支持多个客户端连接.
(4) 能够支持支持不同的客户端同时收发消息(开启子线程)
(5) 服务器端主动关闭服务器,子线程随之结束.
"""
# 1. 该程序可以支持多客户端连接.
# 2. 该程序可以支持多客户端同时发送消息.
# 1. 导入模块
import socket
import threading
def recv_msg(new_client_socket,ip_port):... |
from __future__ import unicode_literals
import datetime
import itertools
from django.test import TestCase
from django.db import IntegrityError
from django.db.models import Prefetch
from modelcluster.models import get_all_child_relations
from modelcluster.queryset import FakeQuerySet
from tests.models import Band, B... |
import functools
import tornado.options
def define_options(option_parser):
# Debugging
option_parser.define(
'debug', default=False, type=bool,
help="Turn on autoreload and log to stderr",
callback=functools.partial(enable_debug, option_parser),
group='Debugging')
def conf... |
from django.urls import path
from . import books_views
urlpatterns = [
path('books/', books_views.index, name='books'),
]
|
""" Game API for Pacman """
import random
from collections import defaultdict
from abc import ABC, abstractmethod
import math
import mcts
import copy
import torch as tr
import pacman_net as pn
import pacman_data as pd
import numpy as np
class Node(ABC):
directionsDic = [[1,0], [0,1], [-1,0], [0,-1]]
@abstrac... |
import streamlit as st
import pandas as pd
from tfidf import get_vocab_idf
st.title('Binary Classification')
st.write("This app shows the featurization created from delta tf-idf for binary classification.")
# Sidebar
with st.sidebar.header('1. Upload your CSV data'):
uploaded_file = st.sidebar.file_uploader("Up... |
from country_assignment import assign_countries_by_priority
from data_processing.player_data import PlayerData
from flask import (Flask, redirect, render_template, request, url_for, flash)
import os
from pathlib import Path
import argparse
import uuid
app = Flask(__name__)
app.secret_key = os.urandom(24)
unique_coun... |
from pynterviews.mutants import mutants
def test_positive():
dna = ["CTGAGA",
"CTGAGC",
"TATTGT",
"AGAGAG",
"CCCCTA",
"TCACTG"]
result = mutants(dna)
assert result
def test_negative():
dna = ["CTGAGA",
"CTGAGC",
"TATTGT",
... |
def Bisection_Method(equation, a, b, given_error): # function, boundaries, Es
li_a = deque() # a
li_b = deque() # b
li_c = deque() # x root -> c
li_fc = deque() # f(xr)
li_fa = deque() # f(a)
li_fb = deque() # f(b)
li_Ea = deque() # estimated error
data = {
'Xl': li_... |
from django.urls import path
app_name = 'profiles'
urlpatterns = []
|
import os
if os.getenv('HEROKU') is not None:
from .prod import *
elif os.getenv('TRAVIS') is not None:
from test import *
else:
from base import *
|
"""
1. Верхняя одежда
1.1. #куртки
1.2. #кофты
1.3. #майки
1.4. #футболки
1.5. #рубашки
1.6. #шапки
1.7. #кепки
2. Нижняя одежда
2.1. #брюки
2.2. #шорты
2.3. #ремни
2.4. #болье
2.5. #носки
3. Костюмы
3.1. #спортивные
3.2. #класические
4. Обувь
4.1. #красовки
4.2. #кеды
4.3. #ботинки
4.4. #туфли
5.Аксесуары
5.1. #рю... |
# Copyright 2014 CloudFounders NV
#
# 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 writ... |
import os
import pandas as pd
os.chdir('/Users/forrestbadgley/Documents/DataScience/git/NUCHI201801DATA4-Class-Repository-DATA/MWS/Homework/03-Python/Instructions/PyPoll/raw_data')
csv_path = "election_data_1.csv"
csv_path2 = "election_data_2.csv"
elect1_df = pd.read_csv(csv_path)
elect2_df = pd.read_csv(csv_path2)... |
import re
from pyhanlp import *
# def Tokenizer(sent, stopwords=None):
# pat = re.compile(r'[0-9!"#$%&\'()*+,-./:;<=>?@—，。：★、￥…【】（）《》？“”‘’！\[\\\]^_`{|}~\u3000]+')
# tokens = [t.word for t in HanLP.segment(sent)]
# tokens = [re.sub(pat, r'', t).strip() for t in tokens]
# tokens = [t for t in tokens if... |
import numpy as np
from seisflows.tools.array import uniquerows
from seisflows.tools.code import Struct
from seisflows.tools.io import BinaryReader, mychar, mysize
from seisflows.seistools.shared import SeisStruct
from seisflows.seistools.segy.headers import \
SEGY_TAPE_LABEL, SEGY_BINARY_HEADER, SEGY_TRACE_HEADE... |
import sys
import torch
import numpy as np
sys.path.append('../')
from models import networks
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('--model-in-file',help='file path to generator model to export (.pth file)',required=True)
parser.add_argument('--model-out-file',help='file path to expor... |
def parse_line(line, extraction_map):
print("---------parsing line------")
key = get_key_for_line(line)
extraction_guide = extraction_map[key]
obj = get_blank_line_object()
flag = special_line_case(key)
answer_flag = special_answer_case(key)
if (flag == True):
line = escape_undersco... |
from matplotlib.offsetbox import AnchoredText
import numpy as np
import matplotlib.pyplot as plt
from iminuit import Minuit, describe
from iminuit.util import make_func_code
class Chi2Reg: # This class is like Chi2Regression but takes into account dx
# this part defines the variables the class will use
... |
import socket
HOST, PORT = "localhost", 9999
msg = b'\x16\x04\x04\x01\xfd 94193A04010020B8'
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.bind(("localhost", 33000))
s.sendto(msg, (HOST, PORT))
|
from ..model_tests_utils import (
status_codes,
DELETE,
PUT,
POST,
GET,
ERROR,
random_model_dict,
check_status_code,
compare_data
)
from core.models import (
Inventory,
Actor,
Status
)
inventory_test_data = {}
inventory_tests = [
##----TEST 0----##
# creates 6 actors
# ... |
from utils import utils
day = 18
tD = """
2 * 3 + (4 * 5)
5 + (8 * 3 + 9 + 3 * 4 * 3)
5 * 9 * (7 * 3 * 3 + 9 * 3 + (8 + 6 * 4))
((2 + 4 * 9) * (6 + 9 * 8 + 6) + 6) + 2 + 4 * 2
"""
tA1 = 26 + 437 + 12240 + 13632
tA2 = 46 + 1445 + 669060 + 23340
class Calculator:
def __init__(self, pattern):
self.pattern ... |
# Definition for singly-linked list.
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
# 核心思路
# 这题是 add_two_numbers_II_q445.py 的特例版本，做法更简单
# 另，这题没说不能修改原链表，所以可以先reverse，变成低位在前
# 处理之后再 reverse 回去
class Solution(object):
def plusOne(self, head):
"""
:type... |
# Copyright (C) 2015-2021 Regents of the University of California
#
# 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 app... |
# Copyright (c) 2020 PaddlePaddle 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 appli... |
#! /bin/false
import weblogic
import javax.xml
import java.io.FileInputStream as fis
import java.io.FileOutputStream as fos
import os
import shutil
import java.io.BufferedReader as BR
import java.lang.System.in as Sin
import java.io.InputStreamReader as isr
import java.lang.System.out.print as jprint
import weblogi... |
from niaaml.classifiers.classifier import Classifier
from niaaml.utilities import MinMax
from niaaml.utilities import ParameterDefinition
from sklearn.tree import DecisionTreeClassifier as DTC
import numpy as np
import warnings
from sklearn.exceptions import ChangedBehaviorWarning, ConvergenceWarning, DataConversionWa... |
#!/usr/bin/python
#
# Script implementing the multiplicative rules from the following
# article:
#
# J.-L. Durrieu, G. Richard, B. David and C. Fevotte
# Source/Filter Model for Unsupervised Main Melody
# Extraction From Polyphonic Audio Signals
# IEEE Transactions on Audio, Speech and Language Processing
# Vol. 18, ... |
import sys
import os
import torch
from helen.modules.python.TextColor import TextColor
from helen.modules.python.models.predict_cpu import predict_cpu
from helen.modules.python.models.predict_gpu import predict_gpu
from helen.modules.python.FileManager import FileManager
from os.path import isfile, join
from os import ... |
from dpconverge.data_set import DataSet
import numpy as np
n_features = 2
points_per_feature = 100
centers = [[2, 2], [4, 4]]
ds = DataSet(parameter_count=2)
n_samples = 500
outer_circ_x = 1.0 + np.cos(np.linspace(0, np.pi, n_samples)) / 2
outer_circ_y = 0.5 + np.sin(np.linspace(0, np.pi, n_samples))
X = np.vstack... |
# Generated by Django 3.1.1 on 2020-09-16 15:33
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('erp', '0091_auto_20200914_1720'),
('erp', '0091_auto_20200914_1638'),
]
operations = [
]
|
"""Montrer dans le widget
Revision ID: 8b4768bb1336
Revises: dc85620e95c3
Create Date: 2021-04-12 17:24:31.906506
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '8b4768bb1336'
down_revision = 'dc85620e95c3'
branch_labels = None
depends_on = None
def upgrade(... |
def helper(s, k, maxstr, ctr):
# print("YES")
if k == 0 or ctr == len(s):
return
n = len(s)
maxx = s[ctr]
for i in range(ctr+1, n):
if int(maxx) < int(s[i]):
maxx = s[i]
if maxx != s[ctr]:
k -= 1
for j in range(n-1, ctr, -1):
if int(... |
# # -*- coding: utf-8 -*-
# import scrapy
#
# import re
#
# class A55Spider(scrapy.Spider):
# name = '55'
# allowed_domains = ['fsx.sxxz.gov.cn']
# start_urls = ['http://fsx.sxxz.gov.cn/fsxzw/zwgk/xxgkzn/']
#
# def parse(self, response):
# navi_list = response.xpath('//ul[@class="item-nav"]//@hr... |
# Pop() -> Remove um elemento do endereço especifícado.
lista_4 = [10,9,8,7,5,6,4,2,3,1,2,3]
print(lista_4)
lista_4.pop(2)
print(lista_4)
lista_4.pop(-1)
print(lista_4) |
from typing import List, Union
import numpy as np
def get_test_function_method_min(n: int, a: List[List[float]], c: List[List[float]],
p: List[List[float]], b: List[float]):
"""
Функция-замыкание, генерирует и возвращает тестовую функцию, применяя метод Фельдбаума,
т. е.... |
from typing import cast, Mapping, Any, List, Tuple
from .models import PortExpenses, Port
def parse_port_expenses(json: Mapping[str, Any]) -> PortExpenses:
return PortExpenses(
cast(int, json.get("PortId")),
cast(int, json.get("PortCanal")),
cast(int, json.get("Towage")),
... |
from typing import Callable
from rx import operators as ops
from rx.core import Observable, pipe
from rx.core.typing import Predicate
def _all(predicate: Predicate) -> Callable[[Observable], Observable]:
filtering = ops.filter(lambda v: not predicate(v))
mapping = ops.map(lambda b: not b)
some = ops.som... |
import uuid
from datetime import datetime
from os import path
from sqlalchemy.orm.scoping import scoped_session
import factory
import factory.fuzzy
from app.extensions import db
from tests.status_code_gen import *
from app.api.applications.models.application import Application
from app.api.document_manager.models.doc... |
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import Conv2D, BatchNormalization, ReLU
class Decoder(Model):
def __init__(self, channels):
super().__init__()
self.conv1 = Conv2D(channels[0], 3, padding='SAME', use_bias=False)
self.bn1 = Batch... |
import os
from typing import List, Tuple
from urllib.request import urlopen
from discord.ext import commands
from blurpo.func import database, send_embed, wrap
def basename(path: str) -> Tuple[str, str]:
# Get file's basename from url
# eg. https://website.com/index.html -> (index.html, index)
return (b... |
#!/usr/bin/env python
# Copyright (C) 2017 Udacity Inc.
#
# This file is part of Robotic Arm: Pick and Place project for Udacity
# Robotics nano-degree program
#
# All Rights Reserved.
# Author: Harsh Pandya
# import modules
import rospy
import tf
from kuka_arm.srv import *
from trajectory_msgs.msg import JointTraje... |
import codecs
import os
from hacktools import common
import constants
import game
def run(data, copybin=False, analyze=False):
infile = data + "extract/arm9.bin"
outfile = data + "repack/arm9.bin"
fontdata = data + "font_data.bin"
dictionarydata = data + "dictionary.asm"
binfile = data + "bin_inpu... |
import time
import random
currentBot = 1
from threadly import Threadly
def worker(**kwargs):
botID = kwargs["botID"]
resultsQ = kwargs["resultsQ"]
time.sleep(random.randint(1,15))
resultsQ.put({"botID":botID, "time":time.time()})
def workerKwargs():
global currentBot
tosend = {"botID":"bot {}... |
"""
Searching for optimal parameters.
"""
from section1_video5_data import get_data
from sklearn import model_selection
from xgboost import XGBClassifier
seed=123
# Load prepared data
X, Y = get_data('../data/video1_diabetes.csv')
# Build our single model
c = XGBClassifier(random_state=seed)
#n_trees = range(500, 1... |
import numpy as np
from pytest import mark
from numpy.testing import assert_allclose
@mark.plots
def test_transition_map(init_plots):
axes_data = init_plots.plot_transition_map(cagr=False, full_frontier=False).lines[0].get_data()
values = np.genfromtxt('data/test_transition_map.csv', delimiter=',')
assert... |
import time
from membase.api.rest_client import RestConnection, Bucket
from membase.helper.rebalance_helper import RebalanceHelper
from memcached.helper.data_helper import MemcachedClientHelper
from basetestcase import BaseTestCase
from mc_bin_client import MemcachedError
from couchbase_helper.documentgenerator import ... |
# -*- coding: utf-8 -*-
{
'name': "Odoo Cogito Move Mutual",
'summary': "",
'author': "CogitoWEB",
'description': "Odoo Cogito move mutual",
# Categories can be used to filter modules in modules listing
# Check https://github.com/odoo/odoo/blob/master/openerp/addons/base/module/module_data.xml
# for the full l... |
# Generated by Django 2.0.3 on 2018-04-13 22:35
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
('catalog', '0006_auto_201... |
import numpy as np
from gym.spaces import Box, Dict, Discrete
from database_env.foop import DataBaseEnv_FOOP
from database_env.query_encoding import DataBaseEnv_QueryEncoding
class DataBaseEnv_FOOP_QueryEncoding(DataBaseEnv_FOOP, DataBaseEnv_QueryEncoding):
"""
Database environment with states and actions as... |
def intercala(nomeA, nomeB, nomeS):
fileA = open(nomeA, 'rt')
fileB = open(nomeB, 'rt')
fileS = open(nomeS, 'wt')
nA = int(fileA.readline())
nB = int(fileB.readline())
while
def main():
nomeA = input('Nome do primeiro arquivo: ')
nomeB = input('Nome do segundo arquivo: ')
nomeS = input('Nome para o arquiv... |
import RPi.GPIO as GPIO
import time
class Motion:
def __init__(self, ui, pin, timeout=30):
self._ui = ui
self._pin = int(pin)
self._timeout = int(timeout)
self._last_motion = time.time()
GPIO.setmode(GPIO.BCM) # choose BCM or BOARD
GPIO.setup(self._pin, GPIO.IN)
... |
#
# PySNMP MIB module H3C-DOMAIN-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/H3C-DOMAIN-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:08:30 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2... |
import sys
import numpy as np
from matplotlib import pyplot as plt
from tensorflow import keras
from tensorflow.keras import layers
def preprocess(array: np.array):
""" Normalizes the supplied array and reshapes it into the appropriate format """
array = array.astype("float32")/255.0
array = np.reshape(ar... |
import math
from time import sleep
from timeit import default_timer as timer
LMS8001_C1_STEP=1.2e-12
LMS8001_C2_STEP=10.0e-12
LMS8001_C3_STEP=1.2e-12
LMS8001_C2_FIX=150.0e-12
LMS8001_C3_FIX=5.0e-12
LMS8001_R2_0=24.6e3
LMS8001_R3_0=14.9e3
class PLL_METHODS(object):
def __init__(self, chip, fRef):
self... |
# Generated by Django 2.1.14 on 2019-12-02 11:19
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('djautotask', '0030_task_phase'),
('djautotask', '0028_task_secondary_resources'),
]
operations = [
]
|
# -*- coding: utf-8 -*-
import dataiku
from dataiku.customrecipe import *
import pandas as pd
import networkx as nx
from networkx.algorithms import bipartite
# Read recipe config
input_name = get_input_names_for_role('Input Dataset')[0]
output_name = get_output_names_for_role('Output Dataset')[0]
needs_eig = get_re... |
import json
import gmplot
import os
import random
import collections
# FIX FOR MISSING MARKERS
# 1. Open gmplot.py in Lib/site-packages/gmplot
# 2. Replace line 29 (self.coloricon.....) with the following two lines:
# self.coloricon = os.path.join(os.path.dirname(__file__), 'markers/%s.png')
# self.col... |
import pytest
from cx_const import Number, StepperDir
from cx_core.stepper import MinMax, Stepper, StepperOutput
class FakeStepper(Stepper):
def __init__(self) -> None:
super().__init__(MinMax(0, 1), 1)
def step(self, value: Number, direction: str) -> StepperOutput:
return StepperOutput(next_... |
# Generated by Django 2.1.5 on 2019-01-25 19:11
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('products', '0008_shoppingcart'),
]
operations = [
migrations.AddField(
model_name='shoppingcart',
name='total_price'... |
import numpy as np
def Adam_Opt(X_0, function, gradient_function, learning_rate=0.001, beta_1=0.9, beta_2=0.999, epsilon=1e-8, max_iter=500,
disp=False, tolerance=1e-5, store_steps=False):
"""
To be passed into Scipy Minimize method
https://docs.scipy.org/doc/scipy/reference/generated/scipy.... |
from __future__ import absolute_import
from rest_framework.response import Response
from sentry import options
from sentry.api.bases.project import ProjectEndpoint
from sentry.models import ProjectKey
class ProjectDocsEndpoint(ProjectEndpoint):
def get(self, request, project):
data = options.get('sentry... |
import tensorflow as tf
from groupy.gconv.make_gconv_indices import make_c4_z2_indices, make_c4_p4_indices,\
make_d4_z2_indices, make_d4_p4m_indices, flatten_indices
from groupy.gconv.tensorflow_gconv.transform_filter import transform_filter_2d_nchw, transform_filter_2d_nhwc
def gconv2d(input, filter, strides, ... |
# Generated by Django 2.0.9 on 2019-12-05 20:27
import datetime
from django.db import migrations, models
import django.db.models.deletion
from django.utils.timezone import utc
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
... |
class SeedsNotFound(Exception):
pass
class ZoneNotFound(Exception):
pass
class TooManyZones(Exception):
pass
|
"""
@author: acfromspace
"""
"""
Notes:
Find the most common word from a paragraph that can't be a banned word.
"""
from collections import Counter
class Solution:
def most_common_word(self, paragraph: str, banned: [str]) -> str:
unbanned = []
for character in "!?',;.":
paragraph =... |
import itertools
import os
import random
import pytest
from polyswarmd.utils.bloom import BloomFilter
@pytest.fixture
def log_entries():
def _mk_address():
return os.urandom(20)
def _mk_topic():
return os.urandom(32)
return [(_mk_address(), [_mk_topic()
fo... |
# -*- coding: utf-8 -*-
"""Unit test package for fv3config."""
|
from SimPy.SimulationRT import Simulation, Process, hold
import numpy as np
import scipy as sp
import scipy.io as spio
import networkx as nx
import matplotlib.pyplot as plt
import ConfigParser
from pylayers.util.project import *
import pylayers.util.pyutil as pyu
from pylayers.network.network import Network, Node, PNe... |
# Import libraries
from bs4 import BeautifulSoup
import requests
import psycopg2
import dateutil.parser as p
from colorama import Fore, Back, Style
# Insert the results to the database
def insert_datatable(numberOfLinks, selected_ticker, filtered_links_with_dates, conn, cur):
if filtered_links_with_dates:
... |
import random
import torch.nn as nn
import torch.nn.functional as F
from torch import LongTensor
from torch import from_numpy, ones, zeros
from torch.utils import data
from . import modified_linear
PATH_TO_SAVE_WEIGHTS = 'saved_weights/'
def get_layer_dims(dataname):
res_ = [1,2,2,4] if dataname in ['dsads'] els... |
from core.advbase import *
def module():
return Pia
class Pia(Adv):
conf = {}
conf['slots.a'] = [
'Dragon_and_Tamer',
'Flash_of_Genius',
'Astounding_Trick',
'The_Plaguebringer',
'Dueling_Dancers'
]
conf['slots.d'] = 'Vayu'
conf['acl'] = """
`dragon(c3-s-end), not en... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Author: Benjamin Vial
# License: MIT
"""
The :mod:`pytheas.homogenization.twoscale2D` module implements tools for the
two scale convergence homogenization of 2D metamaterials for TM polarization
"""
from .femmodel import TwoScale2D
|
import os.path as osp
import numpy as np
import numpy.linalg as LA
import random
import open3d as o3
import torch
import common3Dfunc as c3D
from asm_pcd import asm
from ASM_Net import pointnet
"""
Path setter
"""
def set_paths( dataset_root, category ):
paths = {}
paths["trainset_path"] = osp.join(... |
import gym
import gym_maze
import copy
#env = gym.make("maze-random-10x10-plus-v0")
#env = gym.make("maze-sample-100x100-v0")
#env = gym.make("maze-random-30x30-plus-v0")
env_name= "maze-sample-10x10-v0"
env = gym.make(env_name)
state_size = env.observation_space.shape[0]
action_size = env.action_space.n
max_steps = e... |
# program that asks user for number and prompts user to guess number untill the user guess the right number
# helen o'shea
# 20210211
import random
number = random.randint(0,100)
guess = int(input("Please guess the number between 0 and 100: "))
attempt = 1
while guess!=number:
if guess<number:
attempt +=1
... |
# -*- coding: utf-8 -*-
"""
Script to retrieve regobs data relevant for forecast analysis at NVE.
"""
__author__ = 'kmu'
import datetime as dt
import pandas as pd
from varsomdata import getobservations as go
def get_snow_obs(from_date, to_date):
all_data_snow = go.get_all_observations(from_date, to_date, geohaza... |
def f(*a<caret>rgs):
"""
""" |
#!/usr/bin/python
# This creates the level1 fsf's and the script to run the feats on condor
import os
import glob
studydir ='/mnt/40TB-raid6/Experiments/FCTM_S/FCTM_S_Data/Analyses'
fsfdir="%s/group/lvl2_B_hab_feats_v1"%(studydir)
subdirs=glob.glob("%s/1[0-9][0-9][0-9][0-9]"%(studydir))
#subdirs=glob.glob("%s/1830... |
import tempfile
import mdtraj
import pandas as pd
from kmbio import PDB
from kmtools import sequence_tools, structure_tools
from .distances_and_orientations import (
construct_residue_df,
construct_residue_pairs_df,
residue_df_to_row,
residue_pairs_df_to_row,
validate_residue_df,
validate_resi... |
# -*- coding: UTF-8 -*-
# Copyright (c) 2010 - 2014, Pascal Volk
# See COPYING for distribution information.
"""
vmm.password
~~~~~~~~~~~~~~~~~~~~~~~~~~~
vmm's password module to generate password hashes from
passwords or random passwords. This module provides following
functions:
hashed_p... |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserChangeForm, UserCreationForm
from django.utils.translation import gettext as _
from .models import *
class MyUserCreationForm(UserCreationForm):
d... |
from memoria import *
class Filas():
def __init__(self, dic_process_id):
self.filas = [[],[],[],[]]
self.dic_process_id = dic_process_id
self.memoria = Memoria()
self.ultimo_executado = None
self.qtd_processos = len(dic_process_id) # qtd de processos.
se... |
def assert_keys_exist(obj, keys):
assert set(keys) <= set(obj.keys())
|
#!/usr/bin/env python3
import requests
from datetime import datetime, timedelta
import time
import numpy as np
import pandas as pd
import psycopg2
from psycopg2.extras import execute_values
import config as cfg
def connect_to_rds():
conn = psycopg2.connect(
host=cfg.HOST,
database=cfg.DATABASE,
... |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
from itertools import product, count
from matplotlib.colors import LinearSegmentedColormap
# it produce more vectors pointing diagonally than vectors pointing along
# an axis
# # generate uniform unit vectors
# def generate_unit_vectors(n)... |
from aiogram import Dispatcher
from bulletin_board_bot.misc.user_data import UserDataStorage
from bulletin_board_bot.dependencies import DIContainer
from bulletin_board_bot.middlewares.di import DIContainerMiddleware
from bulletin_board_bot.middlewares.userdata import UserDataMiddleware
def setup_middlewares(dp: Dis... |
from django.contrib import admin
from core.models import Profile, BraFitting, Suggestion, Resource
# Register your models here.
@admin.register(BraFitting)
class BraFittingAdmin(admin.ModelAdmin):
pass
@admin.register(Profile)
class ProfileAdmin(admin.ModelAdmin):
pass
@admin.register(Suggestion)
class Sugge... |
"""Tests for _get_tablename_schema_names association schemas function."""
import pytest
from open_alchemy.schemas import association
class TestGetTablenameSchemaNames:
"""Tests for _get_tablename_schema_names."""
# pylint: disable=protected-access
TESTS = [
pytest.param({}, set(), {}, id="empt... |
from django.template import Library
from ..classes import Menu, SourceColumn
register = Library()
def _navigation_resolve_menu(context, name, source=None, sort_results=None):
result = []
menu = Menu.get(name)
link_groups = menu.resolve(
context=context, source=source, sort_results=sort_results
... |
from esipy.client import EsiClient
from waitlist.utility.swagger.eve import get_esi_client
from waitlist.utility.swagger import get_api
from waitlist.utility.swagger.eve.universe.responses import ResolveIdsResponse,\
CategoriesResponse, CategoryResponse, GroupResponse, GroupsResponse,\
TypesResponse, TypeRespon... |
titulo = str(input('qual o titulo: '))
autor = str(input('escritor: '))
comando = ['/give @p written_book{pages:[', "'", '"','] ,title:', ',author:', '}', titulo, autor] #estrutura do comando
l = str(input('cole aqui: ')) #livro em si.
tl = len(l) #total de caracteres do livro
print(tl)
qcn = (tl/256) #quantidade... |
r"""
Super Partitions
AUTHORS:
- Mike Zabrocki
A super partition of size `n` and fermionic sector `m` is a
pair consisting of a strict partition of some integer `r` of
length `m` (that may end in a `0`) and an integer partition of
`n - r`.
This module provides tools for manipulating super partitions.
Super partiti... |
from ..job.job_context import JobContext
from ..task.task_context import TaskContext
from ..tc.tc_context import TcContext
class VerticalContext:
def __init__(self,
sys_conf_dict,
task_context: TaskContext = None,
job_context: JobContext = None,
... |
import numpy as np
import random
import heapq
from itertools import count
def time_fun(x, slope, shift):
return 1/(1+np.exp((slope*x - shift)))
class eligibility_trace():
def __init__(self, lambda_v, r, slope=3, shift=5):
self.E = 0
self.lambda_v = lambda_v
self.r = r
self.sl... |
'''
true_env = ["../../../../../../Downloads/data_timeoutsAndtransitions_acrobot/acrobot/online_learning/esarsa/step50k/gridsearch_realenv/"]
k1_notimeout = ["../../../../../../Downloads/data_timeoutsAndtransitions_acrobot/acrobot/offline_learning/knn-ensemble/k1_notimeout/esarsa/step10k/optimalfixed_eps0/"]
k1_timeout... |
# Copyright 2021 Universidade da Coruña
#
# 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 ... |
"""
Code for the paper "Mesh Classification with Dilated Mesh Convolutions."
published in 2021 IEEE International Conference on Image Processing.
Code Author: Vinit Veerendraveer Singh.
Copyright (c) VIMS Lab and its affiliates.
We adapt MeshNet to perform dilated convolutions by replacing the Stacked Dilated
Mesh Conv... |
from collections import namedtuple
import hexbytes
from eth_utils import is_checksum_address
from relay.signing import eth_sign, eth_validate, keccak256
EcSignature = namedtuple("EcSignature", "v r s")
class Order(object):
def __init__(
self,
exchange_address: str,
maker_address: str,
... |
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