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import pandas as pd import numpy as np df = pd.read_csv('all_countries.csv') #df.fillna('-', inplace=True) main_pf = ['pf_rol', 'pf_ss', 'pf_movement', 'pf_religion', 'pf_association', 'pf_expression', 'pf_identity'] main_ef = ['ef_government', 'ef_legal', 'ef_money', 'ef_trade', 'ef_regulation'] other_cat_pf = ['pf...
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3202097
<reponame>omnivore/esky # Copyright (c) 2009-2010, Cloud Matrix Pty. Ltd. # All rights reserved; available under the terms of the BSD License. """ esky.slaveproc: utilities for running a slave process. A "slave process" is one that automatically dies when its master process dies. To implement this, the slave pro...
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import src.data_process.dataset_analysis as dataset_analysis if __name__ == "__main__": dataset_analysis.plot_avg_tracks_per_artist_by_genre()
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<reponame>kuanhungchen/leetcode-practice<gh_stars>1-10 class Solution: def customSortString(self, S, T): pr_s = {c: i for i, c in enumerate(S)} cnt_t = {} for c in T: if c not in cnt_t: cnt_t[c] = 1 else: cnt_t[c] += 1 ans = [""] * 27 for k, v in cnt_t...
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from binaryninja import (Architecture, LowLevelILOperation, LowLevelILLabel, log_info, LLIL_TEMP) def add_trunc(a, b, bits=16): maxval = (1 << bits) - 1 r = a + b return r & maxval def _get_2b_reg(il, register): register = register.lower() return il.reg_split(1, register...
StarcoderdataPython
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<reponame>QuietImCoding/Nines import os, subprocess import random, sys if len(sys.argv) == 1: n_boards = 1 else: n_boards = int(sys.argv[1]) def demo_board(fname): pieces = ["pieces/" + p for p in os.listdir('pieces')] pieces.sort() print(pieces) for row in range(27): selection=[] ...
StarcoderdataPython
170065
#!/usr/bin/env python3 import collections from .symbols import SymbolScope from .ast import ASTVisitor, ASTScopedVisitorMixin from .mtypes import MethodType from .opcodes import Opcodes from . import asm # Function activation block: # arguments... # retval # retaddr # locals class StackSize(ASTScopedVisitorMixin, ...
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<reponame>gelnior/couchdbkit # -*- coding: utf-8 - # # This file is part of couchdbkit released under the MIT license. # See the NOTICE for more information. from .fs import FSDoc, document, push, pushdocs, pushapps, clone
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<gh_stars>1-10 # Generated by Django 3.1 on 2021-02-02 18:02 import django.db.models.deletion from django.db import migrations, models import websites.models class Migration(migrations.Migration): dependencies = [ ("websites", "0002_websitecontent_hugo_filepath"), ] operations = [ migr...
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<reponame>chinghwayu/mimesis<filename>mimesis/data/int/text.py # -*- coding: utf-8 -*- """Provides all the data related to text.""" SAFE_COLORS = [ "#1abc9c", "#16a085", "#2ecc71", "#27ae60", "#3498db", "#2980b9", "#9b59b6", "#8e44ad", "#34495e", "#2c3e50", "#f1c40f", "...
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<gh_stars>1-10 import logging from typing import Dict, List, Union import arrow import discord from discord.ext import commands from naotimes.bot import naoTimesBot from naotimes.context import naoTimesContext from naotimes.paginator import DiscordPaginator, DiscordPaginatorUI from naotimes.showtimes import Showtimes...
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import matplotlib.pyplot as plt import numpy as np #input args: # time_array: time series for plotting # final_output: filtered seismic measurement after using wiener filter # true: original noisy seismic measurement def wiener_filter_performance_visualization(time_array,final_output,true): ...
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# -*- coding: utf-8 -*- """ Created on Mon Mar 15 23:23:10 2021 @author: Rares """ from .preprocess import extractFeatures import librosa from librosa import util import xgboost as xgb import pandas as pd import numpy as np from object_cache import object_cache @object_cache def loadAndGetMfcc(folder, ...
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from . import constants as CONSTANTS from .producer_property import ProducerProperty from common.telemetry import telemetry_py from common.telemetry_events import TelemetryEvent class Image: """ If ``string`` is used, it has to consist of digits 0-9 arranged into lines, describing the image, for example::...
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""" Electrum module to implement atomicswap support """ from Jumpscale import j import json class ElectrumAtomicswap: """ ElectrumAtomicswap class This class wraps the binaries provided by https://github.com/rivine/atomicswap/releases """ def __init__(self, wallet_name, data_dir, rpcuser, rpcpass...
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#!/usr/bin/env python import os from shipper import Shipper, run, command import subprocess # DOCKER_URL = "/var/run/docker.sock" DOCKER_HOST = "localhost:4243" DOCKER_URL = "tcp://127.0.0.1:4243" s = Shipper([DOCKER_HOST]) def pmk(t): rootdir = os.path.dirname(os.path.abspath(os.path.dirname(__file__))) ret...
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<filename>keypad/driver/lighting/image.py import config from neopixel import NeoPixel from lighting.program import LightingProgram from messaging import CommandBus, CommandType class ImageProgram(LightingProgram): def __init__(self, pixels: NeoPixel, message_bus: CommandBus): self.pixels = pixels ...
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##################################### ##### Class to Query Census API ##### ##################################### import requests import json import pandas as pd import datascience as ds from .utils import * class CensusQuery: """Object to query US Census API""" _url_endings = { "acs5": "acs/acs5", "acs1": "ac...
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<filename>log.py import torchvision import torch import os import matplotlib.pyplot as plt import numpy as np import torchsnooper def scale_to_tensorboard(losses, writer, unet_options, loss_options, iter_overall, output=None): for item in losses: if item == 'final': if loss_options.min_grad_m...
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<gh_stars>0 import numpy as np import pandas as pd import copy import os import pathlib import pdb import model_eval import gmp_feature_selection as gfs #from gmp_feature_selection import constants, gmp_feature_selector class random_search(gfs.gmp_feature_selector): def __init__(self, data, model_eval_params): ...
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<reponame>dib-lab/2018-snakemake-eel-pond #!/usr/bin/env python import subprocess import os import glob import tempfile import shutil import pytest import yaml import pandas as pd from .utils import TempDirectory, write_yaml from .const import (here, test_config_yaml, elvers_cmd) elvers_dir = os.path.dirname(os.path...
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<reponame>apoorvkk/LeetCodeSolutions ''' URL: https://leetcode.com/problems/task-scheduler/description/ Time complexity: O(n) where n is number of tasks Space complexity: O(26) where n is number of tasks ''' from collections import Counter from heapq import heappush, heappop class Solution: def leastInterval(self...
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<filename>pandajedi/jediorder/JediDaemon.py<gh_stars>1-10 from pandacommon.pandalogger import logger_utils from pandajedi.jediconfig import jedi_config from pandajedi.jedidaemons.utils import DaemonMaster # logger base_logger = logger_utils.setup_logger(__name__.split('.')[-1]) # launch def launcher(taskBufferIF,...
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import numpy as np from sklearn.ensemble import RandomForestRegressor from sklearn.externals import joblib def read_data(): pass xtr, ytr = read_data() params = joblib.load('params.pkl') n_neg = len(ytr[np.isclose(ytr, 0)]) n_ot = len(ytr) - n_neg ot_weight = n_neg / n_ot sw = np.ones_like(ytr) sw[~np.isclose(y...
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<filename>puzzle8/8b.py instructions = [] lineCount = {} changeList = [] with open("C:\\Privat\\advent_of_code20\\puzzle8\\input1.txt") as f: i = 0 for line in f: line = line.strip() instructions.append(line) lineCount[i] = 0 if 'nop' in line or 'jmp' in line: change...
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import numpy as np import soundfile as sf import torch from asteroid.data.librimix_dataset import LibriMix import random as random from scipy import signal class MetricGAN(LibriMix): def __getitem__(self, idx): # Get the row in dataframe row = self.df.iloc[idx] # Get mixture path ...
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import MagModule as M def main(): print(" - Think of a Number from Given Cards and Write the Cards number or numbers on which your chosen number Appears on\n\n - For Example if your chosen number appears on card no 1 and 2 then you write 1<Enter>2 to finish after the last number <Enter>0\n\n - Aft...
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import asyncio import math import networkx as nx import ccxt.async_support as ccxt import datetime import logging from .logging_utils import FormatForLogAdapter __all__ = [ 'FeesNotAvailable', 'create_exchange_graph', 'load_exchange_graph', ] adapter = FormatForLogAdapter(logging.getLogger('peregrinearb.u...
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<filename>skeleton.py # encoding: utf-8 '''Use trees of files and directories as templates. Copyright (c) 2008-2009 <NAME> ''' import sys, os, shutil, re REPLACE_PLACEHOLDER_TPL = '${%s}' if sys.version_info[0] >= 2 and sys.version_info[1] >= 6: relpath = os.path.relpath else: def relpath(path, start=os.path...
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from typing import Optional, Dict import falcon class Request: def __init__(self, request: falcon.Request, request_number: int): self.cookies: Optional[Dict[str, str]] = request.cookies self.body: Optional[bytes] = request.bounded_stream.read() self.content_type: Optional[str] = request.c...
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#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # command.py # SciML-Bench # Copyright © 2021 Scientific Machine Learning Research Group # Scientific Computing Department, Rutherford Appleton Laboratory # Science and Technology Facilities Council, UK. # All rights reserved. """ Main entry of the program """ import...
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<reponame>rdl-telecom/billing import sqlite3 from settings import trains_file query = 'select name, network from bundles b, ranges r where b.id = r.bundle_id and b.id=%s and r.network not like "10.253.%%";' directions = { 'St.' : 'spb', 'Belgorod' : 'blg', 'Nice' : 'nice', 'Strizh' : 'nng', 'Lev'...
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#ETL using Spark # To MariaDB # Create Schema using import pyspark from pyspark.sql import SparkSession #from pyspark from pyspark.sql import Row as Row from pyspark.sql.types import * from pyspark.sql import functions as f import datetime as dt #declaring schema for the dataframe '''schema = StructType...
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# -*- coding: utf-8 -*- # Form implementation generated from reading ui file 'ui_forms/login_form02.ui' # # Created by: PyQt5 UI code generator 5.9 # # WARNING! All changes made in this file will be lost! from PyQt5 import QtCore, QtGui, QtWidgets class Ui_Dialog(object): def setupUi(self, Dialog): Dialo...
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<filename>test/test_point.py<gh_stars>0 from __future__ import print_function import unittest from random import random from svgelements import * class TestElementPoint(unittest.TestCase): def test_point_init_string(self): p = Point("(0,24)") self.assertEqual(p, (0, 24)) se...
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<reponame>PeterYangJChen/Bone-density-predict-project # import the necessary packages from sklearn.preprocessing import LabelBinarizer from sklearn.preprocessing import MinMaxScaler import tensorflow as tf from tensorflow import feature_column from tensorflow.keras import layers from sklearn.model_selection import trai...
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# -*- coding: utf-8 -*- """ #%%############################################################## # IMERG / GSMAP EXTRACTION v 1.4 ############################################################### @ author: <NAME> @ correspondence <NAME> @ <EMAIL> @ version v 1.4 Variables: parameter...
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import unittest import collections from typing import List, Deque, Tuple from leetcode.common import TreeNode class Solution: """ This iterative solution keeps a queue of unvisited nodes and their depth to implement the level order traversal. The algorithm starts by queueing the root and its level, i...
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import requests from command import * from util import * def _bully_handler(author, text, thread_id, thread_type): if not len(text): return False user = match_user_in_group(thread_id, text) if user: reply = "" if user["Priority"] > author["Priority"]: reply += "{} is a...
StarcoderdataPython
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import pandas as pd import numpy as np from sklearn.model_selection import train_test_split import gensim.downloader as api import re from sklearn.neighbors import KNeighborsClassifier from sklearn import preprocessing class process_txt: def __init__(self): print("Loading pre-trained Word2Vec model...") ...
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import random from functools import partial from typing import Iterator, Callable import spacy from spacy.language import Language from spacy.training import Example from ..augment_utilities import make_text_from_orth @spacy.registry.augmenters("grundtvigian_spacing_augmenter.v1") def create_grundtvigian_spacing_au...
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<reponame>dfki-asr/morphablegraphs #!/usr/bin/env python # # Copyright 2019 DFKI GmbH. # # 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 th...
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<gh_stars>0 import pandas as pd from sklearn.model_selection import train_test_split from sklearn.preprocessing import MinMaxScaler from sklearn import neighbors from sklearn.metrics import mean_squared_error from math import sqrt import matplotlib.pyplot as plt tweet_df = pd.read_pickle("/Users/stenzel/Documents/EE...
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una_variable = 100 hex(10) int("0xa", 16) def dividir(x, y): # Comentario return x / y if una_variable % 2 == 0: print("El valor es par") elif una_variable < 0: print("El valor es impar y negativo") elif una_variable > 100: print("El valor es impar y mayor a 100") else: print("El valor no cu...
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import numpy as np import pandas as pd import tensorflow as tf import seaborn as sns import pickle import matplotlib import matplotlib.pyplot as plt from scipy import stats from pylab import rcParams from sklearn import metrics from sklearn.model_selection import train_test_split import datetime # Just disables the wa...
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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2020/10/12 1:46 下午 # @Author : Roamoin # @File : afm.py import tensorflow as tf from utils.common import LinearModel, EmbedModel class AttentionalFactorizationMachine(tf.keras.Model): def __init__(self, feature_cards, factor_dim, attention_size, nam...
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""" Implementation of Total Variation Loss (https://en.wikipedia.org/wiki/Total_variation_denoising) copied and slightly modified from the original Apache License 2.0 traiNNer Authors https://github.com/victorca25/traiNNer/tree/master # Copyright 2021 traiNNer Authors # # Licensed under the Apache License, Version 2....
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<reponame>slgero/check_parser """A package which allow parsing Reussian receipts.""" __version__ = "0.0.28" __license__ = "MIT" from .receipt_parser import RuleBased # type: ignore from .finder import Finder # type: ignore from .normalizer import Normalizer # type: ignore from .cat_model import PredictCategory #...
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import os from glob import glob import numpy as np import matplotlib.pyplot as plt import astropy.units as u from toolkit import (generate_master_flat_and_dark, photometry, PhotometryResults, PCA_light_curve, params_b, transit_model_b) # Image paths image_paths = sorted(glob(...
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<filename>tests/test_constrained_decoding.py import unittest import copy import numpy as np from constrained_decoding.translation_model import AbstractConstrainedTM from constrained_decoding import ConstraintHypothesis, init_coverage # DUMBEST POSSIBLE IMPLEMENTATION of generation functions # Note that generation a...
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NAME = "admin-extra-urls" VERSION = __version__ = "2.1.0" __author__ = 'sax'
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# 094 # Display an array of five numbers. Ask the user to select one # of the numbers. Once they have selected a number, display the # position of that item in the array. If they enter something that # is not in the array, ask them to try again until they select # a relevant item. import array as ar import numpy as np...
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<reponame>Smugaski/cenzura<filename>cenzura/bot/lib/embed.py class Embed: def __init__(self, **kwargs): allowed_args = ("title", "description", "color") for key, value in kwargs.items(): if key in allowed_args: setattr(self, key, value) def set_image(self, *, url: s...
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<gh_stars>0 # -*- coding: utf-8 -*- """ Alexa responses for the english version """ import config as conf INIT_RESPONSE = { conf.Language.EN : { 'session_attributes': {}, 'card_title': "Welcome to ROFEX Skill", 'card_output': "Please, tell me an instrument and I'll give you the last price "...
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# playgui.py # Source: https://github.com/DrGFreeman/rps-cv # # MIT License # # Copyright (c) 2017-2019 <NAME> <<EMAIL>> # # 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,...
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<filename>opta/commands/init_templates/template.py<gh_stars>100-1000 import copy from os import path from typing import Any, Callable, List, Optional import yaml from colored import attr, fg from opta.constants import init_template_path def load_template(template_type: str, template_name: str) -> dict: file_pat...
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import jupyterworkflow.data as jwd import pandas as pd import numpy as np def test_fremont_data(): data = jwd.get_fremont_data() assert all(data.columns == [u'East', u'West', u'Total']) assert isinstance(data.index, pd.DatetimeIndex) assert len(np.unique(data.index.time)) == 24
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from typing import Optional, Sequence from http_types import Request, Response from openapi_typed_2.openapi import OAuth2SecurityScheme, OpenAPIObject from .matcher import truncate_path def generate_code(): return "xyz" def gen_authflow_response(req: Request): if "redirect_uri" not in req.query: r...
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#!/usr/bin/env/python #-*- coding: utf-8 -*- import numpy as np import matplotlib.pyplot as plt import csv #Coloque aquí el tipo de estrella con el que se va a trabajar. OPCIONES= 'Cefeida', 'RR_Lyrae', 'BinariaECL'. tipo_estrella='RR_Lyrae'; #Importar los números de las estrellas desde el archivo csv: ID_estrellas=n...
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<reponame>gifford-lab/seqgra<gh_stars>0 """ seqgra learner hierarchy - PyTorch Classes: - :class:`~seqgra.learner.torch.torchlearner.TorchDNAMultiClassClassificationLearner`: PyTorch implementation of DNA-based multi-class classification learner - :class:`~seqgra.learner.torch.torchlearner.TorchDNAMultiLabelCl...
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<filename>mpi/python/cupy/Reduce.py<gh_stars>1-10 import chainer.cuda from chainermn.communicators import _memory_utility import cupy from mpi4py import MPI import time import common import utils def main(): comm = MPI.COMM_WORLD intra_rank = utils.get_intra_rank(comm) chainer.cuda.get_device(intra_rank)...
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# This Software (Dioptra) is being made available as a public service by the # National Institute of Standards and Technology (NIST), an Agency of the United # States Department of Commerce. This software was developed in part by employees of # NIST and in part by NIST contractors. Copyright in portions of this softwar...
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"""An implemention of the Epicast methodology applied to COVID-19.""" # standard library import statistics # third party import numpy as np import scipy.stats # first party from delphi.epidata.client.delphi_epidata import Epidata import delphi.flu_contest.covid.constants as Constants from delphi.flu_contest.covid.ta...
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<reponame>mastering-python/code_2 def square(n: int) -> int: ''' >>> square('x') Traceback (most recent call last): ... TypeError: unsupported operand type(s) for ** or pow(): ... ''' return n ** 2 if __name__ == '__main__': import doctest doctest.testmod(optionflags=doctest.EL...
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from datetime import date, datetime today = date.today() now = datetime.now() now = datetime.strftime(now, format('%Y-%m-%d %H:%M:%S')) result = [] lay_outs = """--- layout: post title: "标题" subtitle: "{subtitle}" date: {format_date} author: "soaringsoul" header-img: "img/posts/defau...
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""" lambdata - a collection of Data Science helper functions """ import pandas as pd import sklearn
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<gh_stars>1-10 """序列化等格式转换功能""" from collections import OrderedDict from functools import reduce import json, decimal from typing import List, Mapping def yabee_nvarchar(data: str) -> str: """对数据库的不合适的中文字段进行修正""" if isinstance(data, str) and not data.isascii(): try: s = data.encode('Latin1...
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<gh_stars>1-10 from collections import defaultdict, namedtuple from functools import lru_cache from itertools import cycle, product from typing import Dict GameState = namedtuple("GameState", "spaces scores turn") def play_roll(state: GameState, roll: int) -> GameState: spaces, scores, turn = state space, sc...
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#!/usr/bin/env python # -*- coding: utf-8 -*- import os from flask import Flask, render_template from pymongo import MongoClient from flask_mail import Mail #Instaciando objeto Flask app = Flask(__name__) @app.route("/") def index_page(): return render_template("landing.html") app.config.update( DEBUG=Tr...
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<reponame>jpbarret13/MAG-model-code #!/usr/bin/env python # coding: utf-8 # In[1]: # %pip install tensorflow==2.4.1 # %pip install transformers # %pip install pyarrow # %pip install tensorflow-addons # In[1]: import tensorflow as tf import pandas as pd import pickle import os import tensorflow_addons as tfa from...
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#!/usr/bin/python import re import os import subprocess import json MON_REGEX = r"^\d: ([0-9\.]*):\d+/\d* mon.([^ ]*)$" #kubctl_command = 'kubectl get pods --namespace=${CLUSTER} -l daemon=mon -o template --template="{ {{range .items}} \\"{{.metadata.name}}\\": \\"{{.status.podIP}}\\" , {{end}} }"' kubectl_command ...
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"""Portfolio optimization context API.""" import os from openbb_terminal.helper_classes import ModelsNamespace as _models # flake8: noqa # pylint: disable=unused-import # Context menus from openbb_terminal.portfolio.portfolio_optimization.optimizer_view import ( display_equal_weight as equal, ) from openbb_termin...
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<gh_stars>0 class t: def __init__(self, lang): self.lang = lang def get(self, code): ############################################ # English ############################################ if self.lang == "en": if code == "sudoerr": return "Couldn't get required root access!\n"\ "Is the grap...
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import numpy as np from util.tensor_provider import TensorProvider from models.model_base import DetektorModel from sklearn.svm import SVC class SVMSK(DetektorModel): @classmethod def _class_name(cls): return "Support Vector Machine (Scikit-learn)" def __init__(self, tensor_provider, use_bow=True...
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# Generated by Django 2.2.13 on 2020-12-14 08:58 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('api', '0105_auto_20201211_0758'), ] operations = [ migrations.AddField( model_name='country', ...
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<filename>boosting_preprocess.py #!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Nov 26 22:19:57 2017 @author: ethan """ import pandas as pd import numpy as np import os from sklearn.preprocessing import Imputer from sklearn.utils import resample #module for resampling #import results of augmented...
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import sys first = True for line in sys.stdin.readlines(): if first: first = False else: elems = line.strip().split("\t") print("<http://www.lexvo.org/id/iso639-3/%s> <http://www.w3.org/2000/01/rdf-schema#label> \"%s\"@en ." % (elems[0], elems[3]))
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<filename>tools/test.py # coding: utf-8 # MIT License # # Copyright (c) 2018 <NAME>, 4IF, INSA Lyon # # 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 li...
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# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. import gc import os import sys import threading # -*- coding: UTF-8 -*- import unittest import numpy as np from helper import get_name import onnxruntime as onnxrt from onnxruntime.capi.onnxruntime_pybind11_state import Fa...
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# # -*- encoding: utf-8 -*- # Mandrake by vp1147 -- 05/03/19 --> # External libs from random import randint import sys # Own libs sys.path.append('./modules') import utils, Gen, shared, JsonFunctions, Area, Arit, Prime, UtilTools, Functions, Equations def GameMenu(): while 1: utils.LogoType(shared.LogoPath) pri...
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<reponame>darksigma/traceless from . import view_manager from flask import jsonify, request, abort from flask import current_app as app import os from .. import traceless_crypto import requests import json @view_manager.route('/', methods = ['POST']) def hello_world(): print "hello world" return "hello world" ...
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<filename>create_graphs.py import mne import sys import numpy as np from nitime import TimeSeries from nitime.analysis import CorrelationAnalyzer from my_settings import * bands = ["delta", "theta", "alpha", "beta", "gamma1", "gamma2"] times = np.arange(-2000, 2001, 1.95325) times = times / 1000. for subject in sub...
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<filename>LeetCodeSolutions/python/6_ZigZag_Conversion.py class Solution(object): def convert(self, s, numRows): """ :type s: str :type numRows: int :rtype: str """ if numRows <= 1 or numRows >= len(s): return s strs = [''] * numRows row, step = 0, 1 ...
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""" ____ _____ _ _ _ | _ \ | __ \ (_) | | | | |_) |_ _ | |__) |_ _ _ __ _____| |__ _ _| |_ ___ | _ <| | | | | ___/ _` | '__|_ / | '_ \| | | | __/ _ \ | |_) | |_| | | | | (_| | | / /| | |_) | |_| | || __/ |____/ \__, | |_| ...
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#!/usr/bin/env python2 from hermes_python.hermes import Hermes import sys import pprint from rm3_mini_controller import broadlink import time import re import binascii #------------------------------------------------------------------------------ def send(device, cmd): commands = { "TVOn": '26004600949412371237...
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<filename>tests/nightly/dist_device_sync_kvstore_horovod.py #!/usr/bin/env python # Licensed to the Apache Software Foundation (ASF) under one # or more contributor license agreements. See the NOTICE file # distributed with this work for additional information # regarding copyright ownership. The ASF licenses this f...
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sal_data_keys = ["Austin", "Portland", "Dallas","Atlanta"] sal_data_values = [91185,110123, 89123, 112000] sal_info = {} print("#### Creating a dictionary without using comprehension") for key, value in zip(sal_data_keys,sal_data_values): sal_info[key] = value print (sal_info) #sal_info.clear() #Using ...
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<reponame>thatch/BitSwanPump import pprint import logging from ...abc import Expression ### L = logging.getLogger("bspump.declarative.DEBUG") ### class DEBUG(Expression): """ Transform "string" to lowercase. """ def __init__(self, app, *, arg_what): super().__init__(app) self.What = arg_what def __call...
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from .models import FlowRow, RunRow, StepRow, TaskRow, ArtifactRow, MetadataRow
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<gh_stars>0 # %% ####################################### def get_group_members(group_name=None): """Returns a DataFrame containing the local computer's groups, GID, and group members. Examples: >>> get_group_members()\n 0 1 2 3\n 0 ...
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# -*- encoding: utf-8 from sqlalchemy.testing import eq_, is_ from sqlalchemy import schema from sqlalchemy.sql import table, column, quoted_name from sqlalchemy.dialects import mssql from sqlalchemy.dialects.mssql import mxodbc from sqlalchemy.testing import fixtures, AssertsCompiledSQL from sqlalchemy import sql from...
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<reponame>jialing3/corner_cases from collections import defaultdict def is_prime(n): if n == 2 or n == 3: return True if n < 2 or n%2 == 0: return False if n < 9: return True if n%3 == 0: return False r = int(n ** .5) f = 5 while f <= r: if n%f == 0: return False if n%(f+2) == 0: return False ...
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<gh_stars>1-10 from typing import List from fastapi import APIRouter, Depends, HTTPException from sqlalchemy.orm import Session from db_api import crud, models, schemas from db_api.api import deps router = APIRouter() @router.get("/", response_model=List[schemas.UserRating]) def read_user_ratings( skip: int = ...
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<reponame>daboross/qxlc from datetime import datetime from sqlalchemy import MetaData, create_engine, Table, Column, String, select from sqlalchemy.orm import sessionmaker from sqlalchemy.sql.sqltypes import Integer, DateTime from qxlc import config db_path = config.get('database') db_engine = create_engine(db_path)...
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#!/usr/bin/env python from pyspark.sql import SparkSession from pyspark.sql.functions import col, window, asc, desc, lead, lag, udf, hour, month, dayofmonth, collect_list, lit, year, date_trunc, dayofweek import pyspark.sql.functions as F from pyspark.sql.window import Window from pyspark.sql.types import FloatType, In...
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from .rpc import worker_client from .rpc import worker_server from .rpc import scheduler_client from .rpc import scheduler_server
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<gh_stars>10-100 from .client import Client class Feed(Client): """Feed""" def __init__(self, auth_token): Client.__init__(self, auth_token) self.path = 'feeds/'
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#!/usr/bin/python # -*- coding: utf-8 -*- from __future__ import unicode_literals from operator import itemgetter import glob import os import struct import zlib class AD1Reader(object): def __init__(self, ad1_path, separator='/', margin=512, string_encoding='utf-8'): self.separator = separator ...
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from nautobot.core.apps import NautobotConfig class VirtualizationConfig(NautobotConfig): name = "nautobot.virtualization"
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import pytest @pytest.fixture(scope='module') def view(): from model import Model from config import DATA_FILES, DATA_MERGE_KEYS from view import View try: view = View( Model( DATA_FILES['companies'], DATA_FILES['users'], DATA_MERGE_KEYS['companies'], DATA_MERGE_KEYS['users'] ) ) return...
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