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<gh_stars>10-100 # Copyright (C) 2008 <NAME>, Science and Technology Facilities Council, # Daresbury Laboratory. # All rights reserved. # # Developed by: <NAME> # Science and Technology Facilities Council # Daresbury Laboratory # Computational Scienc...
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1778995
<filename>adjacentes.py # Função que mostra os dígitos adjacentes iguais de um número def adjacentes(n): anterior = -1 atual = -2 adjacentes_iguais = False # Indicador de passagem while n > 0 and not adjacentes_iguais: atual = n % 10 # Pega o último dígito do número anterior = (n // 1...
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#coding:utf-8 #gaussian plot (position category) #<NAME> 2016/06/16 import itertools import numpy as np from scipy import linalg import matplotlib.pyplot as plt import matplotlib as mpl from sklearn import mixture from __init__ import * from numpy.random import multinomial,uniform,dirichlet from scipy.stats ...
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import copy if __name__ == '__main__': epss = np.logspace(-10, -1, 30) baseline_objective = augmented_objective(x0) xis = [] for eps in epss: xi = copy.copy(x0) xi[4] += eps xis.append(xi) objs = [augmented_objective(xi) for xi in xis] # pool = mp.Pool(mp.cpu_count()) ...
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tutor = False def pancakesort(array): if len(array) <= 1: return array if tutor: print() for size in range(len(array), 1, -1): maxindex = max(range(size), key=lamdba i: array[i]) if maxindex+1 != size: if maxindex != 0: if tutor: ...
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<gh_stars>0 from sssom import parse, collapse, export_ptable import unittest import os import logging cwd = os.path.abspath(os.path.dirname(__file__)) data_dir = os.path.join(cwd, 'data') class TestCollapse(unittest.TestCase): def setUp(self) -> None: self.df = parse(f'{data_dir}/basic.tsv') def te...
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#!/usr/bin/env python3 import datetime import time import unicornhathd # 使用する色の定義 COLOR = (128, 0, 0) # 0から9とコロンのマッピング # 横3 x 縦6 = 18ピクセルのフォントを定義 NUMBERS = ( 0b111101101101101111, # 0 0b110010010010010111, # 1 0b111001001111100111, # 2 0b111001111001001111, # 3 0b100100100101111001, # 4 0b111...
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<gh_stars>0 import tensorflow as tf import tensorflow_hub as hub import tensorflow_text as text # Registers the ops. from benchmarking_tools.model.prediction_model import PredictionModel # Peculiar models that need more time to code: # https://tfhub.dev/google/LaBSE/1 # Other models that do not fit our needs # ques...
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######## # Copyright (c) 2014-2018 Cloudify Platform Ltd. 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 ...
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<reponame>fruttasecca/hay_checker<filename>examples/dhc/rule_example.py<gh_stars>1-10 #!/usr/bin/python3 from pyspark.sql import SparkSession from haychecker.dhc.metrics import rule spark = SparkSession.builder.appName("rule_example").getOrCreate() df = spark.read.format("csv").option("header", "true").load("example...
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""" functions for bin/desi_compute_nightly_bias script """ import argparse from desispec.ccdcalib import compute_nightly_bias from desispec.io.util import decode_camword, parse_cameras def parse(options=None): p = argparse.ArgumentParser( description="Compute nightly bias from ZEROs") p.add_argume...
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from sqlalchemy.ext.declarative import declarative_base from sqlalchemy import Column, Integer, String from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import sessionmaker engine = create_engine('sqlite:///gosts.db') Session = sessionmaker(bind=engine) s...
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class Solution: def mySqrt(self, x: int) -> int: left, right = 0, x while left <= right: mid = left + (right - left) // 2 square = mid ** 2 if square <= x: left = mid + 1 elif squ...
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<filename>settings.py #define some colors (R, G, B) WHITE = (255, 255, 255) BLACK = (0, 0, 0) DARKGREY = (40, 40, 40) LIGHTGREY = (100, 100, 100) GREEN = (0, 255, 0) RED = (255, 0, 0) YELLOW = (255, 255, 0) #game settings WIDTH = 1024 # 16 * 64 or 32 * 32 or 64 * 16 HEIGHT = 768 # 16 * 48 or 32 * 24 or 64 * 12 FPS ...
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# pylint: disable=C0121 """http://www.logilab.org/ticket/124337""" import gtk def print_some_constant(arg=gtk.BUTTONS_OK): """crash because gtk.BUTTONS_OK, a gtk enum type, is returned by astroid as a constant """ print(arg)
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<reponame>scikit-hep/statutils # -*- coding: utf-8 -*- from typing import Union from ..calculators.basecalculator import BaseCalculator from ..parameters import POI, POIarray """ Module defining the base class for hypothesis tests. """ class BaseTest(object): def __init__( self, calculator: Base...
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# # Copyright (c) 2017 Intel Corporation # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed t...
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# Generated by Django 2.0.3 on 2018-04-09 20:42 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('entrance', '0070_auto_20180409_2028'), ] operations = [ migrations.AddFiel...
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''' Created on 2020-09-22 16:07:04 Last modified on 2020-09-23 07:10:39 @author: <NAME> (<EMAIL>)) ''' # imports from abaqus import session # variable initialization and odb opening job_name = 'Simul_SUPERCOMPRESSIBLE_RIKS' odb_name = '{}.odb'.format(job_name) odb = session.openOdb(name=odb_name) riks_results = {...
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<gh_stars>0 """Items models description.""" from colorfield.fields import ColorField from django.core.validators import MinValueValidator from django.db import models class ItemStatuses: """Constant item statuses.""" NEVER = "Never" ONCE = "Once" SELDOM = "Seldom" OFTEN = "Often" DAILY = "Da...
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# -*- coding: utf-8 -*- """ Created on Fri Nov 24 16:57:31 2017 @author: Jean-Michel """ import AstarClass as AC import sys sys.path.append("../model") from WeatherClass import Weather import numpy as np import SimulatorTLKT as SimC from SimulatorTLKT import Simulator import matplotlib.pyplot as plt im...
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from stronghold.views import StrongholdPublicMixin import django from django.views.generic import View from django.views.generic.base import TemplateResponseMixin if django.VERSION[:2] < (1, 9): from django.utils import unittest else: import unittest class StrongholdMixinsTests(unittest.TestCase): def ...
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#!/usr/bin/env python # coding: utf-8 # In[5]: 1 + 1 * 2 # In[4]: 20 // 3 + 20 // 7 ** 2 # In[2]: import random 4 + random.randint(10, 100) # In[5]: import random 4 + random.randint(10, 100) # In[ ]:
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''' File name: test_predictPlantStatistics Date created: 27/11/2018 Feature: #Enter feature description here ''' from unittest import TestCase import pytest from elecsim.plants.plant_costs.estimate_costs.estimate_modern_power_plant_costs.predict_modern_plant_costs import \ PredictModernPlantParameters __author__...
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from sklearn.metrics import silhouette_samples, silhouette_score from random import randint import sys sys.path.insert(0, 'src/genetic_algorithm/') from individual import Individual from sklearn.metrics.pairwise import cosine_similarity, euclidean_distances, polynomial_kernel, sigmoid_kernel, cosine_distances import nu...
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from PyQt5.QtCore import Qt from PyQt5.QtWidgets import ( QApplication, QWidget, QHBoxLayout, QVBoxLayout, QGroupBox, QRadioButton, QPushButton, QLabel, QButtonGroup, QListWidget, QTextEdit, QInputDialog, QMessageBox) import json notes = {} ''' with open('info.j...
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<reponame>opengovsg/ttt-scanner from subprocess import check_output from datetime import datetime import json import firebase_admin from firebase_admin import credentials from firebase_admin import db from time import sleep from time import strftime from os import listdir, path, makedirs today = strftime("%Y-%m-%d") ...
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<reponame>HiAwesome/dive-into-python3-practice<gh_stars>0 import c02.p044_humansize as humansize print(humansize.__name__) """ c02.p044_humansize """
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import logging import pickle from datetime import datetime import munch from rocketgram import Bot, Dispatcher, DefaultValuesMiddleware, ParseModeType logger = logging.getLogger('mybot') router = Dispatcher() def get_bot(token: str): bot = Bot(token, router=router, globals_class=munch.Munch, context_data_clas...
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<filename>spektral/layers/ops/modes.py<gh_stars>1-10 from tensorflow.keras import backend as K SINGLE = 1 # Single (rank(a)=2, rank(b)=2) MIXED = 2 # Mixed (rank(a)=2, rank(b)=3) iMIXED = 3 # Inverted mixed (rank(a)=3, rank(b)=2) BATCH = 4 # Batch (rank(a)=3, rank(b)=3) UNKNOWN ...
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from distutils.core import setup try: from setuptools import find_packages except ImportError: print ("Please install Distutils and setuptools" " before installing this package") raise setup( name='relay.runner', version='0.1.10.dev0', description=( 'A smart thermostat. Give...
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<filename>CODES/S7 - Functions-Methods - Working With Reusable Code/3-methodsdemo3.py """ Positional Parameters They are like optional parameters And can be assigned a default value, if no value is provided from outside """ def sum_nums(n1, n2=4): """ Get sum of two numbers :param n1: :param n2: :r...
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import os from base64 import b64encode, b64decode from typing import AnyStr, List, Dict from collections import Counter import numpy as np import cv2 as cv import keras import tensorflow as tf from yolo4.model import yolo4_body from decode_np import Decode __all__ = ("DetectJapan", "detect_japan_obj") session = tf....
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import cv2 import pandas as pd from tqdm import tqdm train = pd.read_csv('Christof/assets/train_ext1.csv') #test = pd.read_csv('Christof/assets/sample_submission.csv') path_to_train = 'Christof/assets/ext_tomomi/' #path_to_test = 'Christof/assets/test_rgby_512/' fns = [path_to_train + f[:-4] + '.png' for f in train[...
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<reponame>AaronFriel/pulumi-google-native # coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Unio...
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2011
# -*- coding: utf-8 -*- from ddtrace.compat import PY2 from ddtrace.constants import ANALYTICS_SAMPLE_RATE_KEY from ddtrace.contrib.flask.patch import flask_version from ddtrace.ext import http from ddtrace.propagation.http import HTTP_HEADER_TRACE_ID, HTTP_HEADER_PARENT_ID from flask import abort from . import BaseFl...
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<gh_stars>0 class CommandScaffold: """ scaffold class """ def __init__(self, args): """initialize the class :params args: type object """ from netnir.constants import NR from netnir.core.connection import register_connections import logging self.args = ...
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import torch import Corr2D_ext def int_2_tensor(intList): return torch.tensor(intList, dtype=torch.int, requires_grad=False) def tensor_2_int(t): assert len(t.size()) == 1 assert t.size()[0] == 5 assert t.dtype == torch.int return t.tolist() class Corr2DF(torch.autograd.Function): @staticme...
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# -*- coding: utf-8 -*- """ Created on Mon Sep 9 12:52:44 2019 @author: Excalibur """ import numpy as np import numpy.linalg as LA from numpy import random import matplotlib.pyplot as plt from parameterDefaults import defaults from jacobianSalt import computeJac from parameterRanges import ranges from tqdm import tq...
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# SPDX-License-Identifier: Apache-2.0 # Licensed to the Ed-Fi Alliance under one or more agreements. # The Ed-Fi Alliance licenses this file to you under the Apache License, Version 2.0. # See the LICENSE and NOTICES files in the project root for more information. from typing import Dict, Tuple, Any from pandas import...
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import torch import pytest # NOTE: also registers the KL divergence from chmp.torch_utils import NormalModule, WeightsHS, fixed def test_kl_divergence__gamma__log_normal(): p = torch.distributions.LogNormal(torch.zeros(2), torch.ones(2)) q = torch.distributions.Gamma(torch.ones(2), torch.ones(2)) torch....
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# Copyright 2020 The PyMC Developers # # 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 ag...
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import numpy as np from houghvst.estimation import gat def compare_variance_stabilization(img, img_noisy, sigma_gt, alpha_gt, sigma_est, alpha_est): assess_variance_stabilization(img, img_noisy, sigma_gt, alpha_gt, heading='Ground truth') as...
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<reponame>amalinovskiy/Appraise # Generated by Django 2.2 on 2019-05-17 16:39 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('EvalData', '0033_auto_20190228_0826'), ] operations = [ migrations.CreateMode...
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<reponame>plaf2000/webspec from django.urls import path from . import views #This is urls.py urlpatterns = [ path('get/', views.get, name='get'), path('save/', views.save, name='save'), path('create/', views.create, name='create'), path('delete/', views.delete, name='delete'), ]
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<filename>tmy.py<gh_stars>0 """Module to do processing of TMY3 files into Pandas dataframes and CSV files. """ from datetime import datetime import csv from pathlib import Path import pandas as pd import util as au # a utility library in this repo. def process_tmy(raw_tmy_dir, output_dir): """Takes raw TMY file...
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<filename>finalArtisticTransfer.py # <NAME> and <NAME> # W4731 Computer Vision Final Project - Artistic Style Transfer # Keras implementation of Artistic Style Transfer as described by Gatys et al 2015/6 # NOTE: keras.image_data_format assumed to be channels last import sys import time import numpy as np from keras.a...
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<reponame>NathaliaBarreiros/nlp_api from app.models.zeroshot_inference import ZeroShotInferenceBase from app.models.user import UserBase from pydantic import BaseModel from typing import Optional class ZeroShotInferenceCreate(ZeroShotInferenceBase): result: dict[str, float] class ZeroShotInferenceRead(ZeroShotI...
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from autumn.projects.covid_19.mixing_optimisation.constants import PHASE_2_START_TIME from autumn.models.covid_19.mixing_matrix import ( build_dynamic_mixing_matrix, ) from autumn.tools.inputs.demography.queries import get_iso3_from_country_name from .mixing_opti import build_params_for_phases_2_and_3 # FIXME th...
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<reponame>anirudhakulkarni/codes for _ in range(int(input())): a,b,q=map(int,input().split()) arr=[] for i in range(q): arr+=[list(map(int,input().split()))] res=0 if a!=b: for j in range(arr[i][0],arr[i][1]+1): if (j%a)%b!=(j%b)%a: ...
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<reponame>JohanComparat/pyEmerge import h5py # HDF5 support import os import glob import numpy as n from scipy.interpolate import interp1d import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as p plotDir = os.path.join(os.environ['HOME'], 'wwwDir', "eRoMok", "logNlogS") from astropy.cosmology impor...
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<reponame>zkouba/advent-of-code import unittest from aoc2020.task11.task11 import load, _interlink_neighboring_seats, Seat class LobbyTest(unittest.TestCase): def test_full_flow(self): threshold = 5 lobby = load("./test_input.txt", -1) self.assertEqual(10, len(lobby.plan)) self.as...
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""" BiotSavart_CUDA module. """ # ISC License # # Copyright (c) 2020–2021, <NAME>, <NAME>. <<EMAIL>> # # Permission to use, copy, modify, and/or distribute this software for any # purpose with or without fee is hereby granted, provided that the above # copyright notice and this permission notice appear in all cop...
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<gh_stars>0 # -*- coding: utf-8 -*- """Code for training model for contradictory_claims."""
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<filename>examples/account.py from kauripay.processing import KauriPay api_key = '' api_secret = '' host = '' pay = KauriPay(api_key=api_key, api_secret=api_secret, host=host) def get_total_balance(view_currency='BTC') -> float: """ Shows total balance for account in chosen cur...
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<filename>analysis_scripts/check_direction.py<gh_stars>1-10 #! /usr/bin/env python """ Calculating the fraction of upgoing events CAUTION: Assuming chan0 is the uppermost and chan1 is below chan0 """ import numpy as n import pylab as p import sys f = open(sys.argv[1]) directions = [] for line in f.readlin...
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<reponame>jperras/Flask-ApiExceptions<gh_stars>1-10 """ Flask-APIExceptions ~~~~~~~~~~~~~~~~~~~ Providing HTTP error responses in the form of Python exceptions that can be serialized as response objects. """ import os from setuptools import setup with open('README.rst') as file: LONG_DESCRIPTION = file.read() ...
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from .icp import * # TODO: move contents from nonconformist.icp here # ----------------------------------------------------------------------------- # TcpClassifier # ----------------------------------------------------------------------------- class TcpClassifier(BaseEstimator, ClassifierMixin): """Transductive ...
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<reponame>Zoomdata/err-stackstorm import setuptools #with open("README.md", "r") as fh: # long_description = fh.read() setuptools.setup( name="err-stackstorm", version="2.1.4", author="Err-StackStorm Plugin contributors", author_email="<EMAIL>", description="An Errbot plugin for StackStorm Chat...
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<reponame>lycantropos/ground """Basis of computational geometry.""" __version__ = '7.1.1'
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""" Collection of utils for testing tree converters. """ gbdt_implementation_map = { "tree_trav": "<class 'hummingbird.ml.operator_converters._tree_implementations.TreeTraversalGBDTImpl'>", "perf_tree_trav": "<class 'hummingbird.ml.operator_converters._tree_implementations.PerfectTreeTraversalGBDTImpl'>", "...
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import numpy as np from scipy.integrate import odeint import matplotlib import matplotlib.pyplot as plt matplotlib.rcParams['font.sans-serif'] = "Arial" matplotlib.rcParams['font.family'] = "sans-serif" # Solve the ODE of 2-node negative feedback loop model def ode(y, t): dydt = np.zeros(y.shape) ka1 = 0.8 ...
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from modules import skeleton from lib.core import utils from lib.mode import speed from lib.sender import execute from lib.sender import polling from lib.sender import report from lib.sender import summary class LinkFinding(skeleton.Skeleton): """docstring for LinkFinding""" def banner(self): utils.p...
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<gh_stars>0 import enum from datetime import datetime from app import db, login from flask_login import UserMixin from werkzeug.security import generate_password_hash, check_password_hash from sqlalchemy import Enum @login.user_loader def load_user(id): return User.query.get(int(id)) group_x_course = db.Table('g...
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import os import pudb import shutil from tqdm import tqdm from sklearn.model_selection import train_test_split from scipy.io import loadmat, savemat def patientwise_splitting(train, test, img_list): patient_ids = [f.split('_')[1] for f in img_list] patient_ids = list(set(patient_ids)) train_ids, test_ids ...
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//this will start the dashboard, all interfaces, etc
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import sys import os import numpy as np import pickle from nltk.corpus import wordnet as wn inpfile=sys.argv[1] opdir=sys.argv[2] opname=sys.argv[3] d = np.load(inpfile) embeddings = d['embeddings'] synsets = d['synsets'] print ('input', embeddings.shape) emb_dim = embeddings.shape[1] zeros = np.zeros(emb_dim) synse...
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<reponame>naegawa/pict_generator #!/usr/bin/env python """Variational auto-encoder for MNIST data. References ---------- http://edwardlib.org/tutorials/decoder http://edwardlib.org/tutorials/inference-networks """ from __future__ import absolute_import from __future__ import division from __future__ import print_functi...
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# Sciprt to calculate user location centroids with parallel processing import multiprocessing import psycopg2 # For connecting to PostgreSQL database import pandas as pd # Data analysis toolkit with flexible data structures import numpy as np # Fundamental toolkit for scientific computation with N-dimensional array s...
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# Generated by Django 2.1 on 2018-08-26 10:26 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('mainapp', '0021_auto_20180826_1541'), ] operations = [ migrations.CreateModel( name='Community', fields=[ ...
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<reponame>NIVANorge/s-enda-playground from dataclasses import dataclass from bindings.csw.cartesian_csref_type import CartesianCsrefType __NAMESPACE__ = "http://www.opengis.net/gml" @dataclass class CartesianCsref(CartesianCsrefType): class Meta: name = "cartesianCSRef" namespace = "http://www.op...
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from .clipboard import start_import action_name = 'Clipboard'
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<gh_stars>0 #!/usr/bin/env python # -*- coding: utf-8 -*- """recumpiler Recompile text to be semi-readable memey garbage. """ __version__ = (0, 0, 0)
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<reponame>d--j/salt ''' Module for configuring DNS Client on Windows systems ''' def __virtual__(): ''' Load if the module win_dns_client is loaded ''' return 'win_dns_client' if 'win_dns_client.add_dns' in __salt__ else False def dns_exists(name, servers=None, interface='Local Area Connection'): ...
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import pandas as pd REGEX_SEARCHES = { 'class_matches': '^([OABFGKM])', 'type_matches': '^.*([VI])+', 'number_matches': '^[OABFGKM]([0-9])' } USED_SEARCHES = ['class', 'type'] def run(): raw_df = load_csv_data('rawStars.csv') raw_df = determine_matches(raw_df) df = apply_regex(raw_df) ...
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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import json import warnings import pulumi import pulumi.runtime from typing import Union from .. import utilities, tables class Lab(pu...
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# -*- coding: utf-8 -*- """ @author: <NAME>, Ph.D. (2020) Single-Molecule TIRF Viewer App """ from PyQt5.QtWidgets import QApplication, QSizePolicy from PyQt5 import QtWidgets, QtCore, QtGui import sys from collections import OrderedDict from smtirf import gui # =======================================================...
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<filename>build/lib/sbmltopyode/python3ClassGenerator.py # -*- coding: utf-8 -*- """ Created on Tue Jul 3 15:50:45 2018 @author: Steve """ import re import numpy as np import sys from sbmltopyode.ModelDataClasses import * def GenerateModel(modelData, outputFilePath, objectName = 'SBMLmodel'): """ ...
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<reponame>johanesmikhael/pyinn from .ncrelu import ncrelu from .dgmm import dgmm from .cdgmm import cdgmm from .im2col import im2col, col2im from .conv2d_depthwise import conv2d_depthwise from .modules import Conv2dDepthwise
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<filename>utils/utils_statistics.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Utils to perform to compute MAR coefficients and perform statistical tests Written by H.Turbé, March 2022. """ import copy import multiprocessing as mp import os import random import re import numpy as np import pandas...
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<gh_stars>1-10 #!/usr/bin/env python # # Copyright (c) 2017, United States Government, as represented by the # Administrator of the National Aeronautics and Space Administration. # # All rights reserved. # # The Astrobee platform is licensed under the Apache License, Version 2.0 # (the "License"); you may not use this ...
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# Copyright 2017 F5 Networks Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writi...
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<filename>tests/test_automechanic/test_mol_graph.py """ test the automechanc.mol.graph module """ import numpy from automechanic.mol import graph C8H13O_CGR = ( {0: ('C', 3, None), 1: ('C', 3, None), 2: ('C', 1, None), 3: ('C', 1, None), 4: ('C', 1, None), 5: ('C', 1, None), 6: ('C', 2, None), 7: ('C', ...
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<gh_stars>0 from importlib import import_module import KratosMultiphysics as Kratos import KratosMultiphysics.FluidDynamicsApplication as KratosCFD import KratosMultiphysics.RANSApplication as KratosRANS from KratosMultiphysics import IsDistributedRun from KratosMultiphysics import VariableUtils from KratosMultiphysi...
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<reponame>Sourav692/FAANG-Interview-Preparation<gh_stars>1000+ # Time: O(n) # Space: O(1) import operator from functools import reduce class Solution(object): """ :type nums: List[int] :rtype: int """ def singleNumber(self, A): return reduce(operator.xor, A)
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<filename>v6.0.6/ips/test_fortios_ips_global.py # Copyright 2019 Fortinet, Inc. # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation, either version 3 of the License, or # (at your option) any later...
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#!/usr/bin/env python # # A simple example showcasing the basics of systest. # import logging import systest LOGGER = logging.getLogger(__name__) # Define a testcase. class MyTestCase(systest.TestCase): """Test case description. """ def __init__(self, name): super(MyTestCase, self).__init__() ...
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<filename>source-code/multiexp/ed25519.py<gh_stars>1-10 import random # curve parameters b = 256 q = 2**255 - 19 l = 2**252 + 27742317777372353535851937790883648493 # op counts counts = {} def reset(): counts['add'] = 0 counts['multiply'] = 0 # compute b^e mod m #def exponent(b,e,m): # if e == 0: # ...
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import requests,sys,time,json from bs4 import BeautifulSoup import argparse banner = """\033[0;34m========================================================= 🇵 🇭 🇫 🇫 🇹 🇪 🇦 🇲 \033[0;34m========================================================= \033[1;32mScript edit By \033[1;31m :\033[1;0m คเкђєภ \033[1;32mPH...
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# A recursive solution # How would you solve this iteratively? def checkBalanced(rootNode): # An empty tree is balanced by default if rootNode == None: return True # recursive helper function to check the min depth of the tree def minDepth(node): if node == None: return ...
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from rpython.rlib.rarithmetic import ovfcheck from rpython.rlib.rbigint import rbigint, _divrem from rpython.rtyper.lltypesystem import lltype, rffi from rpython.rtyper.lltypesystem.lloperation import llop from som.vmobjects.abstract_object import AbstractObject from som.vm.globals import trueObject, falseObject cla...
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from typing import List from django.shortcuts import render from django.views.generic.detail import DetailView from django.views.generic.list import ListView from assignment.models import Assignment from course.models import Course class CourseListView(ListView): template_name = 'course/course_list.html' model...
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<gh_stars>1-10 from __future__ import division import time import torch import torch.nn as nn from torch.autograd import Variable import numpy as np import cv2 from util import * import argparse import os import os.path as osp from darknet import Darknet import pickle as pkl import pandas as pd import random def ar...
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<gh_stars>0 import keys @keys.key("test") def test_func(): print("Before exception") raise Exception("Test Exception") print("After exception")
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""" .. conftest.py: Most of the tests are currently doctests. Have patience. """ import sys from contextlib import contextmanager import pytest import sqlalchemy as sa from flask import Flask, appcontext_pushed, g from oso import Oso from sqlalchemy import create_engine from sqlalchemy.ext.declarative import declara...
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import numpy as np import matplotlib.pyplot as plt from utils import get_state_vowel class HopfieldNetwork: """ Creates a Hopfield Network. """ def __init__(self, patterns): """ Initializes the network. Args: patterns (np.array): Group of states to be memorized by ...
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import matplotlib.pyplot as plt import sklearn.datasets as skdata import numpy as np from sklearn.discriminant_analysis import LinearDiscriminantAnalysis import sklearn numeros = skdata.load_digits() target = numeros['target'] imagenes = numeros['images'] n_imagenes = len(target) data = imagenes.reshape((n_imagenes,...
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<reponame>zengrx/S.M.A.R.T<filename>src/advanceoperate/malimgthread.py<gh_stars>1-10 #coding=utf-8 from PyQt4 import QtCore import os, glob, numpy, sys from PIL import Image from sklearn.cross_validation import StratifiedKFold from sklearn.metrics import confusion_matrix from sklearn.neighbors import KNeighborsClassif...
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<filename>retrieverdash/dashboard_script/status_dashboard_tools.py import json import os from difflib import HtmlDiff from shutil import rmtree, move, copytree from tempfile import mkdtemp from retriever import reload_scripts from retriever.engines import engine_list, postgres from retriever.lib.defaults import HOME_D...
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# Copyright (C) 2010-2011 <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, distrib...
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