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1738098
import numpy as np __all__ = ['cal_pdf'] def cal_pdf(data, bins=60, save_to=None): """Calculate probability density function. Parameters ---------- data : array-like Input data. The histogram is computed over the flattened array. bins : int or sequence of scalars, optional If `bi...
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from python_framework import Validator, ValidatorMethod, GlobalException, HttpStatus from config import WhatsAppWebConfig @Validator() class WhatsAppWebValidator : @ValidatorMethod() def isAvailable(self) : self.validator.authentication.isAuthenticated() if self.service.whatsAppWeb.isNotAvail...
StarcoderdataPython
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<gh_stars>0 # 2. Write Python code to find the cost of the minimum-energy seam in a list of lists. energies = [[24, 22, 30, 15, 18, 19], [12, 23, 15, 23, 10, 15], [11, 13, 22, 13, 21, 14], [13, 15, 1...
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''' Contains the extended FastAPI router, for simplified CRUD from a model ''' from typing import Any, List, Optional, Sequence, Set, Type, Union import fastapi from fastapi import Depends, params from pydantic import BaseModel, create_model from odim import Odim, OkResponse, SearchResponse from odim.dependencies imp...
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# IxCode - app for code spelunking :: block diagram # AST from C code. # Do this unsafe import to inject this code from src.ast import * class Include(Node): """ An include declaration, holds the included filename (assumed to be correct). """ def __init__(self, fname): self._fname = fname ...
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# -*- coding: utf-8 -*- """Parser for utmpx files.""" from dfdatetime import posix_time as dfdatetime_posix_time from plaso.containers import events from plaso.containers import time_events from plaso.lib import errors from plaso.lib import definitions from plaso.lib import specification from plaso.parsers import dtf...
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<gh_stars>0 class BaseQueryResult: def __init__(self): self.bases = {} self.results = 0
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#!/usr/bin/python #-*-coding:utf-8-*- class Component(object): '''This is the component in the game.''' _name = 'Component' def __init__(self,position,num,region_size): self.position = position self.num = num self._region_size = region_size return super(Component, self).__in...
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#!/usr/bin/env python3 # Write a program that prints out the position, frame, and letter of the DNA # Try coding this with a single loop # Try coding this with nested loops dna = 'ATGGCCTTT' frame = [0,1,2] n = 3 for i in range(0, len(dna)): j = frame*n print(i, j[i], dna[i]) i+=1 """ dna = 'ATGGCCTTT' frame= (...
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from django.urls import path, include app_name = "basebone_common" urlpatterns = [ # 通用管理端 path( "basebone/<str:app>__<str:model>/", include( ("lightning_plus.api_basebone.restful.manage.urls", app_name), namespace="manage.common.basebone", ), ), # 通用客户端...
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<reponame>nikosNalmpantis/examples __copyright__ = "Copyright (c) 2021 Jina AI Limited. All rights reserved." __license__ = "Apache-2.0" import os import sys import click import random from jina import Flow, Document, DocumentArray from jina.logging.predefined import default_logger as logger MAX_DOCS = int(os.environ...
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<filename>sort_file.py import pandas as pd from fuzzywuzzy import process import Levenshtein as lev import numpy as np import openpyxl # -----------------------code for first csv file------------------------------------------- buyer_df = pd.read_csv("./results/CD_21_05/final2.csv", usecols=['PRODUCTS','UNITS', 'BATCHE...
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<reponame>hamk-automation/matrixprofile-ts<gh_stars>0 from matrixprofile.utils import * import numpy as np import pytest class TestClass(object): def test_zNormalize_zero_error(self): with pytest.raises(ValueError): zNormalize(np.array([2.0,2.0,2.0])) def test_zNormalize(self): ou...
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<reponame>vinihcrosa/osint_python import sqlite3 from pathlib import Path from modules import logs database_path = Path('./database/database.sql').resolve() create_spiderfoot_table_query = """ CREATE TABLE IF NOT EXISTS results( guid INTEGER PRIMARY KEY, name TEXT NOT NULL, target TEXT NOT NU...
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<gh_stars>1-10 # -*- coding: utf-8 -*- import sys import operator from multiprocessing import Process, Lock import argparse import nltk import common import fileio import nltk_analyze import make_wordcloud import tokenizer import dialogues import sentiments import translations # TODO-list # TODO: # Topics. Maybe LD...
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#!/usr/bin/env python # # Python Serial Port Extension for Win32, Linux, BSD, Jython # module for serial IO for POSIX compatible systems, like Linux # see __init__.py # # (C) 2001-2010 <NAME> <<EMAIL>> # this is distributed under a free software license, see license.txt # # parts based on code from <NAME> <<EMAIL>>: #...
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<filename>utilidades/Potencia_Eolica.py<gh_stars>0 #! /usr/bin/env python # -*- coding: utf-8 -*- from math import log, exp import random def potencia_eolica(): # Distribuição de Weibull U = random.random() Vmin = 0.14 Vmax = 14.27 intervalo_confianca = 99.0 Finf = ((100.0 - interv...
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<filename>lang/py/pylib/code/exceptions/exceptions_SystemExit.py #!/usr/bin/env python # encoding: utf-8 # # Copyright (c) 2008 <NAME> All rights reserved. # """ """ __version__ = "$Id$" #end_pymotw_header import sys try: sys.exit(1) except SystemExit, err: print 'Tried to exit with code', err.code
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""" Combines catalogs of Analia and Maddox to get IDs. """ import os import numpy as np import astropy.units as u from astropy.table import Table from astropy.coordinates import SkyCoord import matplotlib.pyplot as plt import context if __name__ == "__main__": fname = os.path.join(context.tables_dir, "...
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#!/usr/bin/env python3 # @brief: Get a 3D point cloud from a given range image projection # @author <NAME> [<EMAIL>] import torch import torch.nn as nn import numpy as np class projection: """Projection class for getting a 3D point cloud from range images""" def __init__(self, cfg): """Init ...
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import time import torch from PIL import Image from comparisons import * from depth_img_from_mat import * from model import * # from resize_test import * from torch.autograd import Variable from torchvision.utils import save_image from utils import * from weights import * class DepthPrediction: def __init__(self, we...
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<reponame>lhuett/insights-core<gh_stars>100-1000 """ ceph_insights - command ``ceph insights`` ========================================= """ import json import re from .. import CommandParser, parser from insights.specs import Specs @parser(Specs.ceph_insights) class CephInsights(CommandParser): """ Parse the...
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<reponame>rehmanis/shopyo2 version_info = (4, 0, 1) __version__ = ".".join([str(v) for v in version_info])
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# ------------------------------------------------------------------------------ # CodeHawk Java Analyzer # Author: <NAME> # ------------------------------------------------------------------------------ # The MIT License (MIT) # # Copyright (c) 2016-2020 Kestrel Technology LLC # # Permission is hereby granted, free of...
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<filename>utils/SpectralUtils.py<gh_stars>1-10 import os import cv2 as cv import numpy as np from scipy.io import savemat # from PIL import Image JPG_QUALITY = 80 PNG_COMPRESSION = 9 # Prioritize small file size over speed (lossless compression) # Bit-depth constants BIT_16 = 65535 BIT_8 = 255 def imTo8bit(im): ...
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#-*- coding: utf-8 -*- # # This file belongs to Gyrid Server. # # Copyright (C) 2011-2012 <NAME> # All rights reserved. """ Plugin that handles on-disk logging of received scanner data. """ import os import time import olof.configuration import olof.core import olof.tools.validation class Logger(object): """ ...
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<reponame>sonesuke/my-portfolio # flake8: noqa from mypo.evacuator.base_evacuator import BaseEvacuator from mypo.evacuator.calendar_evacuator import CalendarEvacuator from mypo.evacuator.covariance_evacuator import CovarianceEvacuator from mypo.evacuator.fixed_evacuator import FixedEvacuator from mypo.evacuator.moving...
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<gh_stars>10-100 import autograd.numpy as np from autograd import elementwise_grad as egrad from scipy import linalg import matplotlib.pyplot as plt from functools import partial from athena.active import ActiveSubspaces from athena.utils import Normalizer # custom 2d outputs of interest from numpy_functions import c...
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import csv import numpy as np from pylab import * from scipy import linalg from scipy.stats import norm from sklearn import svm from sklearn.model_selection import GridSearchCV import time import logging from model import Model logging.basicConfig(format='%(asctime)s %(name)s %(levelname)-8s %(message)s', ...
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SQLALCHEMY_DATABASE_URI = 'postgresql://USERNAME:PASS@SERVER/DB_NAME' SQLALCHEMY_TRACK_MODIFICATIONS = False SQLALCHEMY_POOL_RECYCLE = 60 SQLALCHEMY_POOL_TIMEOUT = 10 SLACK_ACCESS_TOKEN = 'SLACK_ACCESS_TOKEN' SLACK_BOT_ACCESS_TOKEN = 'SLACK_BOT_ACCESS_TOKEN' SLACK_VERIFICATION_TOKEN = 'SLACK_VERIFICATION_TOKEN' LOGS_PA...
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<reponame>Ferlern/Arctic-Tundra import json import logging import discord_components from discord.ext import commands from discord_components.component import Select, SelectOption from main import SEBot from utils.utils import DefaultEmbed from ..utils import Interaction_inspect from ..utils.build import update_messa...
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from kivy.app import App from kivy.uix.floatlayout import FloatLayout from kivy.uix.image import AsyncImage from kivy.uix.popup import Popup from kivy.uix.textinput import TextInput from kivy.uix.button import Button from kivy.uix.label import Label from kivy.core.window import Window from DAO.conexao import db from te...
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class Solution(object): def largestRectangleArea(self, heights): """ :type heights: List[int] :rtype: int """ stack = [(0, 0)] res = 0 for i, h in enumerate(heights): index = i # update won't improving rectangle w...
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<filename>const/sub_categories/service/media.py from typing import Dict from ..base_category import BaseCategory # CD錄音帶 cd-and-tape class CdAndTape(object): def cd_and_tape() -> Dict[str, Dict[str, str]]: list = {} list['name'] = 'CD錄音帶' list['id'] = 'cd-and-tape' cd_and_tape = {} cd...
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import os import json from github3.pulls import PullFile from github3.repos.commit import RepoCommit def load_fixture(filename): path = os.path.dirname(os.path.abspath(__file__)) filename = os.path.join(path, 'fixtures', filename) fh = open(filename, 'r') return fh.read() def create_pull_files(data)...
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<gh_stars>1-10 from abc import ABC, abstractmethod from argparse import Action, Namespace class Command(ABC): @abstractmethod def exec(self, args: Namespace) -> None: pass @staticmethod @abstractmethod def define_signature(parser: Action): pass
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# Copyright (c) 2013, igrekus and contributors # For license information, please see license.txt from __future__ import unicode_literals import frappe from frappe import _ def execute(filters=None): columns = get_columns() data = get_data() return columns, data def get_columns(): return [ { "fieldname": ...
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<reponame>dedean16/proba-v-dataset-tools<gh_stars>1-10 #!/usr/bin/env python3 """Configuration for collect script.""" # Initialise cfg dictionary cfg = {} # Define date of interest cfg['year'] = 2017 # Year of interest cfg['months'] = [7, 8, 9] # Month of interest # Define Region of Intere...
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<reponame>ertogrul/ArgMining class THFSentenceExport: def __init__(self, uniqueID, label, text, tokens, dependencies, textdepth): self.uniqueID = uniqueID self.label = label self.text = text self.tokens = tokens self.dependencies = dependencies self.textdepth = textde...
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#!/usr/bin/env python __author__ = "<NAME>" __credits__ = ["<NAME>"] __license__ = "GPL" __version__ = "1.0.1" __maintainer__ = "<NAME>" __email__ = "<EMAIL>" __status__ = "Production" #"LDB Stocked Product Expected for Delivery" #"Third Party Warehouse Stocked Product Currently Unavailable" #end at "Subtotal:" impo...
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<reponame>lcsgrlch/oap """ Bits & Pieces """ __version__ = "0.0.1" from oap.bnp.clamp import clamp from oap.bnp.progress import progress from oap.bnp.loading import Loading from oap.bnp.runtime import Runtime
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import unittest import sys import os sys.path.insert(0, os.path.abspath( os.path.join(os.path.dirname(__file__), ".."))) import cogito class CogitoCheck(unittest.TestCase): def setUp(self): self.base_path = os.path.dirname(__file__) self.iam_file = "{}/files/test.iam".format(self.base_path)...
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<reponame>fgitmichael/SelfSupevisedSkillDiscovery<gh_stars>0 from __future__ import print_function import argparse import torch import torch.utils.data import matplotlib.pyplot as plt from torch import nn, optim from torch.nn import functional as F from torchvision import datasets, transforms from torchvision.utils imp...
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# -*- coding: utf-8 -*- import scrapy from scrapy.linkextractors import LinkExtractor from scrapy.spiders import CrawlSpider, Rule from dongguan.items import DongguanItem import time class SunSpider(CrawlSpider): name = 'crawl' allowed_domains = ['wz.sun0769.com'] start_urls = ['http://wz.sun0769.com/inde...
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import os from PIL import Image, ImageFont, ImageDraw import matplotlib.pyplot as plt import numpy as np directory = 'input' def watermark(): image = Image.open(os.path.join(directory, filename)) draw = ImageDraw.Draw(image) font = ImageFont.truetype("arial.ttf", 50) width, height = image.size ...
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<reponame>henjin0/HolePlateMaker import numpy as np from stl import mesh from mpl_toolkits import mplot3d from matplotlib import pyplot from HolePlateMaker import mesh_scale as ms from HolePlateMaker import mesh_scale as ms from HolePlateMaker import mesh_scale as ms from HolePlateMaker import mesh_update as mu from Ho...
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"""Datatest main program""" import sys as _sys from unittest import TestProgram as _TestProgram from unittest import defaultTestLoader as _defaultTestLoader try: from unittest.signals import installHandler except ImportError: installHandler = None from datatest import DataTestRunner __unittest = True __datat...
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#!/usr/bin/env python3.6 # # require: git+https://github.com/nathants/slackbot # require: requests # policy: CloudWatchLogsFullAccess # allow: lambda:InvokeFunction * # trigger: api # trigger: cloudwatch rate(15 minutes) # keep lambda warm for fast responses # import time import json import requests import slackbot im...
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<gh_stars>1-10 from django.contrib import admin from apps.wiki.models import Article, Tag, ExternalLink, ArticleFile admin.site.register(Article) admin.site.register(Tag) admin.site.register(ExternalLink) admin.site.register(ArticleFile)
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# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: Apache-2.0 def test_codecommit_provider(): # setup from . import bootstrap puppet_version = "0.10.0" all_regions = [ "us-east-1", "us-east-2", ] repo_name = "TestRepoName" ...
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<reponame>btrekkie/graphql<filename>src/graphql/document/operation.py<gh_stars>0 class GraphQlOperation(object): """Abstract base class for GraphQL operations (queries and mutations). Public attributes: list<GraphQlDirective> directives - The directives for the operation. basestring name - The...
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<filename>mogwai/models/multilayer_attention.py from argparse import ArgumentParser, Namespace from typing import Optional import math import torch import torch.nn as nn from apex.optimizers import FusedLAMB from .base_model import BaseModel from ..utils import symmetrize_matrix_ from ..utils.init import init_potts_b...
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<filename>src/common/env.py ''' Created on Feb 20, 2017 @author: sarvi @copyright: 2017 Cisco Inc. All rights reserved. ''' # pylint: disable=locally-disabled, too-many-lines from __future__ import print_function import base64 import collections import datetime import hashlib import logging.handlers import os impo...
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<filename>app/jobs_scraper.py import urllib import requests from bs4 import BeautifulSoup import selenium from selenium import webdriver from selenium.webdriver.support.ui import WebDriverWait import pandas as pd import os def find_jobs_from(website, job_title, location, desired_characs, filename="results.xls"): ...
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def height(root): if root: return 1 + max(height(root.left), height(root.right)) else: return -1
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<filename>1/7/Project/utils/iloc.py def iloc(records, rows=':', cols=':') -> list: """A Pandas .iloc-like function. Args: records (list): A 2-D list. rows (str or int): The indices of rows. Default is ':'. cols (str or int): The indices of columns. Default is ':'. Returns: ...
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# coding: utf-8 import scipy import json import re import allennlp from allennlp.predictors.predictor import Predictor from spacy.lang.en import English import numpy as np # import tensorflow as tf import os import sys import torch from hyperpara import * import dgl from utils import * from tqdm import tqdm nlp ...
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import tensorflow as tf import os import time import logging from util.config import LOG_DIR TF_LOG_DIR = os.path.join(LOG_DIR, 'tensorboard') loggers = {} class TensorboardLogger: """ Logs variables visibly to the tensorboard interface. """ _is_in_setup_phase = True _writer = None _sess = ...
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<reponame>datha88/kbqa-ar-smcnn #!/usr/bin/env python # -*- coding: utf-8 -*- # Mostly from https://github.com/OpenNMT/OpenNMT-py # Most Code in load/save word2vec format refer to Gensim import torch import torch.nn as nn from utils import load_word2vec_format, aeq class Embeddings(nn.Module): def __init__(self, ...
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<gh_stars>10-100 #!/usr/bin/env python3 # Copyright (c) 2019, <NAME> # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright notic...
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import os.path import requests from bs4 import BeautifulSoup import sys if sys.version_info[0] != 3: print('''\t--------------------------------------\n\t\tREQUIRED PYTHON 3.x\n\t\tinstall and try: python3 fb.py\n\t--------------------------------------''') sys.exit() PASSWORD_FILE = "<PASSWORD...
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import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from sklearn.metrics import roc_auc_score, roc_curve, classification_report from xgboost import XGBClassifier from time import time idx = pd.IndexSlice # COMMAND ---------- # MAGIC %md General # COMMAND ---------- def coun...
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from .init import init from .new import new from .mv import mv from .edit import edit from .tree import tree from .history import history from .cat import cat from .git import git from .config import config from .mkdir import mkdir from .rm import rm from .fsck import fsck __all__ = [ 'init', 'new', 'mv', 'edit', ...
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my_friends = ["dzj","wwb","ljx","zz","gyj","zke","yxd"] zz_friend = my_friends[:] print(my_friends) print(zz_friend)
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""" MIT License Copyright (c) 2018 <NAME> Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distri...
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<gh_stars>1-10 from ._patient import DigitalPatient from .conformal import cp, base, evaluation, icp from ._version import __version__ __all__ = [ 'DigitalPatient', 'cp', 'base', 'evaluation', 'icp', '__version__' ]
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<filename>arcface.py import math import timm import torch import torch.nn as nn from torch.nn import functional as F from config import CFG import albumentations from albumentations.pytorch.transforms import ToTensorV2 class ArcFaceModule(nn.Module): def __init__(self, in_features, out_features, scale, margin, ea...
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# -*- coding:utf-8 -*- from PIL import ImageFont from EPUIKit import QuadrantsLayout, VirtualPaper from EPUIKit.widget import Label def font(): return ImageFont.load_default() layout = QuadrantsLayout(border=1) layout.add(Label('LEFT_BOTTOM', font=font()), QuadrantsLayout.LEFT_TOP) layout.add(Label('LEFT_BOTTO...
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#!/usr/bin/env python2 import mimetypes mimetypes.init() OUTPUT = "output.txt" fout = open(OUTPUT,"w") for extension, mimetype in mimetypes.types_map.iteritems(): fout.write("\t".join([extension, "A", "", "", "", "", "", "", "", "", "", "The MIME type for the extension "+extension+" is "+mimetype+".", "http://en.wikip...
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<filename>pggan_cifar10.py """ TensorMONK's :: Progressing growth of GANs on CIFAR10 """ from __future__ import print_function, division import os import sys import timeit import argparse import numpy as np import core import torch from core.NeuralEssentials import DataSets, MakeModel, VisPlots, Save...
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import numpy as np import seaborn as sns from keras.utils.vis_utils import plot_model import matplotlib.pyplot as plt from sklearn.metrics import confusion_matrix def plot_keras_model(model, path): full_path = path + 'keras-model.png' plot_model(model, to_file=full_path, show_shapes=True, show_layer_names=Tru...
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# Generated by Django 3.2.2 on 2021-06-08 05:20 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('shop', '0008_cart'), ] operations = [ migrations.CreateModel( name='Payment', fields=[ ('id', models...
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<reponame>HEATlab/DREAM import json from libheat.stntools.stn import STN NO_AGENT = 0 def mit2stn(fp: str, add_z=False, connect_origin=False, cap=True) -> list: """Convert MIT JSON file to a PSTN via the STN class. Args: fp: File path for the JSON file. add_z (boolean, optional): Add an ex...
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<reponame>inclusive-design/tock from django import forms from django.contrib import admin from hours.admin import TimecardPrefillDataInline from .models import EmployeeGrade, UserData class UserDataForm(forms.ModelForm): class Meta: model = UserData exclude = [] def clean(self): try: ...
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# general components of every sensor, unique to every sensor: # - identification credentals # - location of deployment class Sensor: def __init__(self, sensorID, location = "33 48\' 58\" S 18 28\' 22\" E"): self.__sensorID = sensorID self.__location = location # record sensor id def setSensorID...
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# author: <NAME> # website: http://www.pyimagesearch.com # USAGE # BE SURE TO INSTALL 'imutils' PRIOR TO EXECUTING THIS COMMAND # python temp_file.py --image ../demo_images/bridge.jpg # import the necessary packages from __future__ import print_function from imutils.io import TempFile import argparse import cv2...
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#!/usr/bin/env python # Manipulate sys.path to be able to import converscript from this local git # repository. import os import sys sys.path.append(os.path.join(os.path.dirname(__file__), "..", "..")) from converscript import RiveScript import json bot = RiveScript() bot.load_file("example.rive") dep = bot.deparse...
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<filename>__main__.py import sys from zacoby.management import execute_command_inline if __name__ == '__main__': execute_command_inline(sys.argv)
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""" create user, log in, and get information back """ import requests import json headers = {'content-type': 'application/json'} url = 'http://127.0.0.1:5000' create_user_route='/user/createaccount' login_user_route='/user/login' get_user_data_route='/user' create_user_data = {'username': 'Alice Test', 'emai...
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<reponame>RimorRes/MDRS_Rover<filename>raspberrypi/serialComm.py # INSTALL PYSERIAL: python -m pip install pyserial # LIST OF AVAILABLE PORTS: python -m serial.tools.list_ports import serial import time port= serial.Serial('dev/ttyUSB0', 9600, timeout=1000) # modifiable def lectureBus(): dureeAttente = 1000 rece...
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<reponame>dmitriykel/friends_surprise<gh_stars>1-10 """add img_url and open_date to gifts Revision ID: 47f1d728ec56 Revises: <PASSWORD> Create Date: 2019-06-19 10:20:57.787300 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = '47f1d728ec56' down_revision = '3<PAS...
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<filename>src/code3.8.py import numpy as np from numpy.core.fromnumeric import transpose def batch_kron(A, B): if np.shape(A)[:-2] != np.shape(B)[:-2]: print("error") return None else: return(np.reshape(np.einsum("...mn,...ij->...minj", A, B), np.shape(A)[:-2]+(np.shape(A)[-2]*np.shape...
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<reponame>tony92151/pedestrian_generator import detectron2 from detectron2.utils.logger import setup_logger setup_logger() # import some common libraries import numpy as np import cv2 import random #from google.colab.patches import cv2_imshow # import some common detectron2 utilities from detectron2 import model_zoo ...
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# -*- coding: utf-8 -*- # (c) YashDK [yash-dk@github] from datetime import datetime,timedelta def human_readable_bytes(value, digits= 2, delim= "", postfix=""): """Return a human-readable file size. """ if value is None: return None chosen_unit = "B" for unit in ("KiB", "MiB", "GiB", "TiB"...
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<gh_stars>0 import setuptools import os with open("README.md", "r", encoding='utf-8') as f: long_description = f.read() dirname = os.path.dirname(__file__) with open('pysg/version.py', 'r') as f: exec(f.read()) setuptools.setup( name="pysg", version=__version__, author="<NAME>", author_email...
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<reponame>ettoremessina/integral-calculus import scipy.integrate as spi import numpy as np print('Double integral computed by SciPy nquad') print('Example 2-01 nquad') print('Integral of 2xye^-xy from y=1 to y=5 and from x=y-1 to x=y+1') integrand = lambda x, y : 2 * x * y * np.exp(-x * y) bounds_y = lambda : [1., 5...
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from django.urls import path from . import views urlpatterns = [ path('ground', views.battle_ground, name='Ground Battle'), path('naval', views.battle_naval, name='Naval Battle'), ]
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# -*- coding: utf-8 -*- from wpg.generators import build_gauss_wavefront_xy as construct_gaussian from felpy.model.wavefront import Wavefront from wpg.wpg_uti_wf import plot_intensity_map from .examples.NFS.cylinder_phase_mask import phase, cylinder_thickness import numpy as np from felpy.utils.opt_utils import ekev...
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<filename>Tr4PrFnPredLib/tokenizer/tokenizer_config.py from ..common.constants import MODEL_DEEPGO, MODEL_DEEPRED, MODEL_GOLABELER, MODEL_XBERT, MODEL_PROTBERT from .DeepGoPlusTokenizer import DeepGoPlusTokenizer from .ProtBERTTokenizer import ProtBERTTokenizer TOKENIZER = { MODEL_DEEPGO: DeepGoPlusTokenizer(), ...
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"""Testing handling with CoreState.""" from supervisor.const import CoreState from supervisor.coresys import CoreSys def test_write_state(run_dir, coresys: CoreSys): """Test write corestate to /run/supervisor.""" coresys.core.state = CoreState.RUNNING assert run_dir.read_text() == CoreState.RUNNING.val...
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from django.test import TestCase from django.contrib.auth.models import User from django.db import IntegrityError, DatabaseError from survey.models.users import UserProfile class UserProfileTest(TestCase): def test_fields(self): user = UserProfile() fields = [str(item.attname) for item in user._...
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from dippy.core.enums import OverwriteType from dippy.core.models.model import DippyCoreModel from dippy.core.snowflake import Snowflake class OverwriteModel(DippyCoreModel): id: Snowflake type: OverwriteType deny_new: int deny: int allow_new: int allow: int
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#!/bin/python3 import os def getTotalX(a, b): c = 0 for i in range(max(a), min(b) + 1): if all([i % d == 0 for d in a]) and all([d % i == 0 for d in b]): c += 1 return c if __name__ == "__main__": f = open(os.environ["OUTPUT_PATH"], "w") nm = input().spl...
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#!/usr/bin/env python # -*- coding:utf-8 -*- from flask import Flask from flask import abort, jsonify, Response, render_template, request app = Flask(__name__) # app.config['JSON_AS_ASCII'] = False # @app.route('/') # def hello(): # return 'Hello world!' @app.route('/') def home(): return render_template('ind...
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''' Copyright (c) 2011, <NAME> All rights reserved. Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclai...
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# -*- coding: utf-8 -*- """ Created on Wed Oct 01 14:15:26 2014 @author: TEuser TO DO: compile new input time series calculate Jarvis equations based on daily data calculate Jarvis coefficient for soil moisture based on hourly data calculate daily reference open water calculate daily potential evaporation donwscale...
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from rest_framework import serializers class VerifyOTPSerializer(serializers.Serializer): otp_code = serializers.CharField(max_length=6) email = serializers.EmailField(max_length=200)
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<gh_stars>1-10 from src.world_entities.entity import SimulatedEntity import numpy as np class Target(SimulatedEntity): def __init__(self, identifier, coords, maximum_tolerated_idleness, simulator): SimulatedEntity.__init__(self, identifier, coords, simulator) self.maximum_tolerated_idleness = ma...
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import errno import functools import logging from os import devnull, mkdir from os.path import splitext, basename, isdir import sys import warnings import webbrowser from urllib.parse import urlparse import click from server.app.app import Server from server.app.util.errors import ScanpyFileError from server.app.util...
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# -*- coding: utf-8 -*- from __future__ import division, print_function __all__ = ["get_compile_args"] import sys def get_compile_args(compiler): opts = ["-std=c++11", "-O2", "-DNDEBUG"] if sys.platform == "darwin": opts += ["-stdlib=libc++", "-mmacosx-version-min=10.7"] return opts
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