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from sklearn.ensemble import IsolationForest
from sklearn.neighbors import LocalOutlierFactor
from sklearn.covariance import EllipticEnvelope
import os
import re
import time
import joblib
import gc
from keras import backend as Kb
import numpy as np
import pandas as pd
from sklearn import tree
from imblearn.pipeline imp... |
import os
from stray.scene import Scene
import shutil
import argparse
import yaml
import numpy as np
from stray.export import bbox_2d_from_bbox_3d, bbox_2d_from_mesh, bbox_2d_from_pointcloud
def read_args():
parser = argparse.ArgumentParser()
parser.add_argument('--train', help='Dataset to use for training')
... |
from __future__ import print_function, division
import yaml
import pandas as pd
from os.path import isdir, isfile, join, splitext
from os import listdir
from sys import stderr
from copy import deepcopy
from six import iteritems
from nilm_metadata.object_concatenation import get_appliance_types
class NilmMetadataError... |
"""Helper functions for moving files and updating links between them.
Generally, you should use :meth:`notesdir.api.Notesdir.move` or :meth:`notesdir.api.Notesdir.replace_path_hrefs`
instead of using anything in this module directly.
"""
from glob import glob
import os.path
from tempfile import mkstemp
from typing im... |
import torch.nn as nn
from nas.pose.networks.pose import PoseHeads
from nas.utils import make_divisible, MyNetwork
from nas.utils.layers import ConvLayer, IdentityLayer, ResidualBlock, ResNetBottleneckBlock, set_layer_from_config
class PResNet(MyNetwork):
BASE_DEPTH_LIST = [2, 2, 4, 2]
STAGE_WIDTH_LIST = [2... |
import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
import tensorflow.keras as keras
import tensorflow.keras.layers as layers
from tensorflow.keras.optimizers import Adam
from tensorflow.keras import backend as K
import pdb
'''
An impleme... |
#!/usr/bin/env python3
# Load Python standard libraries
from pathlib import Path
from statistics import mean
import argparse
import random
# Load Pybor
from pybor.dev.data import training, testing
from pybor.evaluate import prf
from pybor.markov import DualMarkov
from pybor.neural import NeuralDual
from pybor.ngram im... |
# coding=utf-8
# Copyright 2020 The HuggingFace Datasets Authors and DataLab Authors.
#
# 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
#
# Unless required by applicable law or agreed to in wri... |
from flask import *
import os
import json
import time
import lib
from flask_apscheduler import APScheduler # 引入APScheduler
#Toby打个卡（az
app = Flask(__name__, static_folder="static", template_folder='templates')
#服务器会多一个static目录，下面放的文件直接 地址/static/文件名
#Toby:我吃饭去了ok
def touch(path):
with open(path, 'w+'):
os... |
""" this module is to save and read from output from Dr. <NAME>'s GenePlexus Model code, to allow
for change in implementation without changing the model code, the runner or Flask application code"""
import os, sys
import json
import pandas as pd
def save_output(output_path, jobname, net_type, features, GSC, avgps, ... |
import scipy.io.wavfile
import numpy as np
import matplotlib.pyplot as plt
import time
import librosa
from scipy.fftpack import fft
import multiprocessing
audData, rate = librosa.core.load("../SoundSamples/journey_no_noise_8k.wav", sr = None)
sampData_floor11, rate = librosa.core.load("../SoundSamples/eleven_8k_short.... |
from django.shortcuts import render
from django.contrib.auth import get_user_model
from django.views.generic import FormView, TemplateView
from users.forms import UserPasswordResetForm, RegistrationForm as UserRegistrationForm
from django.conf import settings
from braces.views import AnonymousRequiredMixin
from django.... |
from UnitTest import UnitTest
class Stupid:
pass
class Foo:
def __init__(self, v):
self._v = v
def __nonzero__(self):
return self._v>0
def __len__(self):
return 1
class Bar:
def __init__(self, v):
self._v = v
def __len__(self):
return self._v
cla... |
from rest_framework import serializers
from .models import Location, Teacher, Student, Queue, Token
from django.contrib.auth.models import User
from .tokens import account_activation_token
from django.core.mail import send_mail
from queueing_app import settings
from rest_framework.response import Response
from django.c... |
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 15 18:09:00 2021
@author: jnguy
TO DO:
Track Inbound before you hit the control area
"""
import Drone
import random
import numpy as np
import math
# MAX_X = 100
# MAX_Y = 100
# MIN_X = -50
# MIN_Y = -50
MAX_X = 100
MAX_Y = 100
MIN_X = -50
MIN_Y = -50
INNER_MIN_... |
#!/usr/bin/env python3
import torch
from random import Random
import torchvision
import numpy as np
from pathlib import Path
from PIL import Image
class RandomDataset(torch.utils.data.Dataset):
"""Creates Random images.
"""
def __init__(self, img_size, length, _num_classes, transform=None):
super... |
"""
Author : <NAME> (<EMAIL>)
Institution : Vrije Universiteit Brussel (VUB)
Date : June 2019
Postprocessing of cellareafraction raster files to serve as input for CTSM
First, a land mask from an external file is applied.
Second, the cell area fraction is saved in a netCDF with all necessary meta data as ... |
from flask import current_app as app
from arrested.exceptions import ArrestedException
from ..mixins import (
GetListMixin, CreateMixin, GetObjectMixin,
PutObjectMixin, PatchObjectMixin,
DeleteObjectMixin
)
class DBMixin(object):
def get_query(self):
"""Return an SQLAlchemy Query object. U... |
from base import BaseHandler
from tornado.web import authenticated
from base import database, has_user, email_check, username_check, User
from hashlib import sha256, md5
from random import randint, choice
from string import ascii_letters, digits
from urllib import request
from os import path
from webscoket import on_li... |
from ctypes import *
import time
import bacon
from bacon.core import lib
from bacon import native
from bacon import commands
from bacon import controller
from bacon import keyboard
from bacon import graphics
from bacon import mouse_input
from bacon import shader
from bacon import window
class Game(object):
'''Bas... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# === This file is part of Calamares - <https://github.com/calamares> ===
#
# Copyright 2014, <NAME> <<EMAIL>>
# Copyright 2015,2019-2020, <NAME> <<EMAIL>>
# Copyright 2017, <NAME> <<EMAIL>>
# Copyright 2019, <NAME> <<EMAIL>>
#
# Calamares is free software: you... |
import os
import re
import mandalka
from .. import safe_path_join
from ..storage import MandalkaStorage
from . import _Backend, _DataContainer
from ._Backend import backend_by_object
from ._DataContainer import DataContainer
def _backend_by_name(name):
return getattr(_Backend, name)
def _container_by_name(name... |
import numpy
import freeimage
from . import ffmpeg
from . import colorize
from . import pyramid
def write_movie(image_generator, output_file, framerate=15):
"""Write a movie from images.
Parameters:
image_generator: a generator that will produce images for movie frames.
output_file: filename... |
from __future__ import print_function
import argparse
import random
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim as optim
import torch.utils.data
import torchvision.utils as vutils
from torch.autograd import Variable
from dcgan import NetG
from data... |
from helpers.functional import compose, curried_map, curried_filter
from helpers.common import rm_punc_not_nums, lemmatize, get_n_largest
from stop_words import get_stop_words
from nltk.tokenize import RegexpTokenizer
from nltk.stem.porter import PorterStemmer
from nltk.stem.wordnet import WordNetLemmatizer
from gens... |
#!/usr/local/python3
import glob
import logging
import os
import sys
from argparse import Namespace
from pathlib import Path
import pandas as pd
import sqlalchemy
import yaml
from sqlalchemy.exc import ProgrammingError
from snowshu.adapters.source_adapters.snowflake_adapter import SnowflakeAdapter
from snowshu.core.m... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function, division
"""
Graph metric learning
"""
# Python modules
import torch
from torch.optim.lr_scheduler import StepLR
import glob
import numpy as np
import time
import os
import sys
# Own modules
from options import Options
from Logg... |
# -*- encoding: utf-8 -*-
# Author: hushukai
import tensorflow as tf
from tensorflow.keras import layers
def topk_compo_seq(compo_logits, k=10, sorted=True):
compo_scores = tf.math.log_softmax(compo_logits, axis=-1)
compo_scores, compo_indices = tf.math.top_k(compo_scores, k=k, sorted=sorted)
_shape... |
# !pip install keras-metrics
import os
import json
import argparse
import itertools
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import matplotlib.pyplot as plt
import keras_metrics
from keras.layers import Dense, Embedding, LSTM, SpatialDropout1D
from kera... |
# Copyright 2019 <NAME>. All rights reserved.
# Use of this source code is governed by a MIT
# license that can be found in the LICENSE file.
import re, json, requests, datetime, time
from knockknock import slack_sender
webhook_url = "https://hooks.slack.com/services/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"
cl... |
"""Gov module data types."""
from __future__ import annotations
from datetime import datetime
from typing import List
import attr
from dateutil import parser
from terra_proto.cosmos.gov.v1beta1 import Proposal as Proposal_pb
from terra_proto.cosmos.gov.v1beta1 import ProposalStatus
from terra_proto.cosmos.gov.v1beta... |
import numpy as np
import cv2
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
image = mpimg.imread('signs_vehicles_xygrad.png')
def abs_sobel_thresh(img, orient = 'x', thresh_min = 0, thresh_max = 255):
# 1) Convert to grayscale
gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
# 2) Take the derivativ... |
#!/nfs/cae/Ferramentas/EXEC/PYTHON/intelpython2/bin/python
"""Semi-analytical models for plates, shells, stiffened panels
"""
import sys
import os
import inspect
import subprocess
from setuptools import setup, find_packages, Extension
from Cython.Build import cythonize
import numpy as np
DOCLINES = __doc__.split("\n... |
"""
Evaluate using simple graph convolution networks.
"""
from shutil import which
import numpy as np
from matplotlib import pyplot as plt
import pdb
import scipy as sp
from scipy.sparse.csgraph import laplacian
from scipy.sparse.linalg import eigsh
from scipy.sparse.linalg.eigen.arpack.arpack import eigs
from sklear... |
import sys
import re
import os
from os.path import basename
from numpy import mean
import shutil
import commands
import subprocess
PRECISION = 100
IMPLEMENTACIONES = [["c", "O0"], ["c", "O3"],["asm1", "O3"], ["asm2", "O3"]]
outpdir = os.path.expanduser('~') + "/outputdata/"
#outpdir = "./outputdata/"
def main():
i... |
# Copyright 2011 Google Inc. All Rights Reserved.
__author__ = '<EMAIL> (<NAME>)'
import abc
import collections
import os.path
class Shell(object):
"""Class used to build a string representation of a shell command."""
def __init__(self, cmd, *args, **kwargs):
assert all(key in ['path', 'ignore_error'] for ... |
#!/usr/bin/env python3
import tensorflow as tf
from tensorflow.keras.models import Model
from tensorflow.keras.layers import GlobalAveragePooling2D
from tensorflow.keras.layers import Input, Dropout, Add, Concatenate
from model.complex.blocks import make_divisible
from model.complex.blocks import convolution_block, s... |
# ---
# jupyter:
# jupytext:
# formats: ipynb,py:percent
# text_representation:
# extension: .py
# format_name: percent
# format_version: '1.3'
# jupytext_version: 1.13.7
# kernelspec:
# display_name: Python [conda env:gis]
# language: python
# name: conda-env-gis-py
# --... |
import os, os.path as osp
from abc import ABC, abstractmethod
import numpy as np
from io import BytesIO
from PIL import Image
from urllib import request
from matplotlib import cm as cm, pyplot as plt, colors as mplotcolors
class AbstractAPIReader(ABC):
@abstractmethod
def read(self):
pass
class APISt... |
import re
import pandas
import spacy
from spacytextblob.spacytextblob import SpacyTextBlob
from nltk.sentiment.vader import SentimentIntensityAnalyzer
sid = SentimentIntensityAnalyzer()
# nlp = spacy.load('en_core_web_lg')
nlp = spacy.load('en_core_web_md')
nlp.add_pipe('spacytextblob')
def subcatego(cat_mess: str)... |
#! /usr/bin/env python
import os
import subprocess
import tempfile
from mock import patch, MagicMock
from unittest import TestCase
import pandas as pd
try:
from StringIO import StringIO
except ImportError: # pragma nocover
from io import StringIO
from pandashells.bin.p_df import (
needs_plots,
get_m... |
import matplotlib.pyplot as plt
from matplotlib.patches import ArrowStyle, FancyArrowPatch
import numpy as np
from itertools import cycle
plt.rcParams["font.sans-serif"] = ["SimHei"]
SQRT2 = np.sqrt(2)
class UntPlotBase:
# zorder:
# 1 : grid
# 2 : lines
# 3 : arrow on lines
# ... |
import connexion
import six
from swagger_server.models.student import Student # noqa: E501
from swagger_server import util
from swagger_server import encoder
from sqlalchemy import types
from sqlalchemy import exc
from flask import make_response
def logged_in_student_data():
session_cookie = connexion.reques... |
"""
A collection of functions to process the data & prepare a json file so blender can read it directly
"""
import pandas as pd
import numpy as np
import json,os,glob,arrow
def make_df_indv(file,data_type):
'''
Given file name, ingest the data and return a clean df
'''
data_raw = pd.read_csv(file)
... |
import cv2
import torch
import torchvision.transforms as transforms
import sys
import os
this_dir = os.path.split(os.path.realpath(__file__))[0]
lib_path = os.path.join(this_dir, 'lib')
sys.path.insert(0, lib_path)
from core.inference import get_final_preds
from utils.transforms import *
from config import cfg
from con... |
#!/usr/bin/env python3
import argparse
import dataclasses
import enum
import os
import sys
import yaml
own_dir = os.path.abspath(os.path.dirname(__file__))
repo_root = os.path.abspath(os.path.join(own_dir, os.pardir))
ci_dir = os.path.join(repo_root, 'ci')
sys.path.insert(1, ci_dir)
import clean
import glci.util
im... |
import collections
import itertools
import random
from typing import List, Optional, Set, Type
class Player:
def __init__(self, game_env: "GameEnv"):
"""
Init Player. Draw 'draw_count' number of cards from 'game_env'.
:param game_env: game environment where we play.
:type game_env:... |
from collections import defaultdict, namedtuple, Counter
import numpy as np
from scipy.sparse import csr_matrix
import networkx as nx
import matplotlib.pyplot as plt
import pandas as pd
from IPython.display import Image
Transition = namedtuple("Transition", ['weight', 'node_index'])
class State:
def __init__(se... |
"""
Forms for openletsweb.
"""
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth import forms as auth_forms
from django import forms
from openlets.core import models
from openlets.openletsweb.forms.base import *
__all__ = [
'TransactionRecordForm',
'TransferListForm',
'PersonForm',
... |
from PyQt5 import QtCore, QtGui, QtWidgets
import numpy as np
from functools import partial
import logging
__all__ = ['QRangeSlider','QRangeList','QRangeEdit']
class QRangeSlider(QtWidgets.QWidget):
newRange = QtCore.pyqtSignal(int,int)
def __init__(self,label='',minimum=1,maximum=100):
"""
A... |
import ctypes
import numpy as np
import numpy.ctypeslib as npct
from .common import *
dll = ctypes.CDLL("librevoice.dll")
RvReal = ctypes.c_double
RvReal_1d = npct.ndpointer(dtype = np.float64, ndim = 1, flags = "C")
RvReal_2d = npct.ndpointer(dtype = np.float64, ndim = 2, flags = "C")
class RvRTPYinProcessorParamet... |
import os
import re
import sys
import platform
import subprocess
import socket
import time
import shutil
import argparse
from setuptools import setup, Extension
from setuptools.command.build_ext import build_ext
parser = argparse.ArgumentParser()
parser.add_argument('--debug', action='store_true')
parser.add_argument... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
import sys
import random
from io import open
from argparse import ArgumentParser, FileType, ArgumentDefaultsHelpFormatter
from collections import Counter
from concurrent.futures import ProcessPoolExecutor
import logging
from . import graph
from . import walks a... |
import argparse
import random
import tensorflow as tf
from util import loader as ld
from util import model
from util import repoter as rp
def load_dataset(train_rate):
loader = ld.Loader(dir_original="segmentation/data_set/VOCdevkit/VOC2012/JPEGImages",
dir_segmented="segmentati... |
''''
SVM in the primal domain with stochastic sub-gradient descent
'''
import csv
import random
import copy
import math
import re
from time import process_time_ns
from scipy.optimize import minimize
class Dual_SVM:
def __init__(self, C, training_data, test_data):
self.C = C
self.training_data = tr... |
import sys
import numpy as np
from PIL import Image
def unpickle(file):
import pickle
with open(file, 'rb') as fo:
dict = pickle.load(fo, encoding='bytes')
return dict
def get_index(word):
word_idx = -1
labels = unpickle('cifar_100/meta')[b'fine_label_names']
for i in range(len(labels... |
# handler.py
""" Module to launch application """
import _set_path # noqa
import os
import io
import json
from datetime import datetime, timedelta
from pathlib import Path
from curate_api import CurateApi
from s3_helpers import delete_s3_key, s3_file_exists, write_s3_json
from pipelineutilities.pipeline_config import... |
import asyncio
from datetime import datetime, timezone
import re
import sys
import logging
import traceback
from pathlib import Path
import subprocess as sp
import aioredis
import discord
import ujson as json
from . import utils
from . import index
from . import bot_commands
class WaifuStreamClient(discord.Client):
... |
import os
import numpy as np
from sklearn import linear_model
from sklearn.neighbors import KNeighborsRegressor
from sklearn.ensemble import BaggingRegressor
from sklearn.svm import SVR
from sklearn.metrics import roc_auc_score
from sklearn.metrics import precision_recall_fscore_support
from sklearn.preproces... |
from typing import Callable, List # isort:skip
from collections import defaultdict
from enum import IntFlag
import numpy as np
import torch
from catalyst.utils import get_activation_fn
from .state import RunnerState
class CallbackOrder(IntFlag):
Unknown = -100
Internal = 0
Criterion = 20
Optimizer... |
import os, glob, re
import numpy as np
import datetime
import torch
import torch.utils.data
from torch_connectomics.model.model_zoo import *
from torch_connectomics.libs.sync import DataParallelWithCallback
# tensorboardX
from tensorboardX import SummaryWriter
class AverageMeter(object):
"""Computes and stores ... |
# Copyright 2012 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Base classes to represent dependency rules, used by checkdeps.py"""
import os
import re
class Rule(object):
"""Specifies a single rule for an includ... |
from __future__ import print_function
import PIL.ImageOps
from models import *
import torchvision
from torchsampler import ImbalancedDatasetSampler
from sampler import BalancedBatchSampler
normalize = torchvision.transforms.Normalize(
mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
def train(args, mode... |
# Copyright (C) 2016 The CyanogenMod Project
#
# 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 agree... |
from __future__ import absolute_import, unicode_literals
import urllib.request
import os
import shutil
import subprocess
from contextlib import closing
from data_refinery_common.models import File, DownloaderJob
from data_refinery_workers.downloaders import utils
from data_refinery_common.logging import get_and_configu... |
import os
import pandas as pd
import numpy as np
import random
import pickle
from collections import namedtuple
from random import sample
from sklearn.utils import shuffle
from sklearn.svm import SVC
from sklearn.naive_bayes import GaussianNB
from sklearn.linear_model import LogisticRegression
from sklearn.ensemble imp... |
""" string writers
"""
from io import StringIO as _StringIO
from numbers import Real as _Real
import numpy
import automol
import autofile.info
def information(inf_obj):
""" write information (any dict/list combination) to a string
"""
assert isinstance(inf_obj, autofile.info.Info)
inf_str = autofile.i... |
import time
import rtmidi
import numpy as np
import random
import asyncio
from typing import Callable, Any, List
# File for input
f = open('output.txt', 'r')
# Setting up Music Theory
key_roots = {
"C": 48,
"Db": 49,
"D": 50,
"Eb": 51,
"E": 52,
"F": 53,
"Gb": 54,
"G"... |
from cmsfix.models.node import *
from cmsfix.models.pagenode import PageNode
from cmsfix.models.filenode import FileNode
from cmsfix.lib.workflow import set_workflow, get_workflow, GroupwareWorkflow
import time
@Node.inherited_container
class JournalNode(Node):
""" this is journal container node """
__label... |
#
# Metrix++, Copyright 2009-2019, Metrix++ Project
# Link: https://github.com/metrixplusplus/metrixplusplus
#
# This file is a part of Metrix++ Tool.
#
import mpp.api
import os
import sys
import ConfigParser
import re
import optparse
class MultiOptionParser(optparse.OptionParser):
... |
"""
utils for generating reports
"""
import json
from typing import Dict, Optional, Union
from matplotlib import pyplot as plt
import numpy as np
import torch
import math
import cv2
def plot_conf_matrix(cm: np.ndarray, save_path: Optional[str]) -> plt.Figure:
"""Confusion matrix
Args:
... |
#!/usr/bin/env python3
"""
This is a flexible tool used to query the SDSS-V InfluxDB. It is usually very
fast, especially compared to the old EPICS, and it is meant to be a tool
that can be imported as well as run through a CLI
Author: <NAME>
"""
import os
import platform
import argparse
import subprocess as sub
fro... |
#!/usr/bin/env python
######################################################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... |
from tkinter import *
from tkinter import messagebox
import pandas as pd
import os,socket
from tkinter.filedialog import askopenfilename
from pandastable import Table
import time
import tempfile
def resource_path(relative_path):
try:
base_path = sys._MEIPASS
except Exception:
base_... |
# vim:set et sts=4 sw=4:
#
# ibus - The Input Bus
#
# Copyright (c) 2012 <NAME> <<EMAIL>>
# Copyright (c) 2011 <NAME> <<EMAIL>>
#
# This library is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# ... |
# Copyright 2020 Oath Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
import boto3
import json
import logging
import urllib3
import os
from urllib3.exceptions import TimeoutError, HTTPError
logging.basicConfig(format='%(asctime)s\t%(levelname)s\t%(message)s')
log = logging.get... |
import numpy as np
import pandas as pd
import os
import gc
from utils import *
from sklearn.decomposition import NMF
import gensim
from gensim.models.doc2vec import LabeledSentence
from gensim import corpora, models
from collections import defaultdict
from tqdm import tqdm
# Embedding
train = pd.read_csv('../input/tra... |
import numpy as np
from ..core.data import DNPData
def ndalign(data, dim="f2", reference=None, center=None, width=None, average=None):
"""Alignment of NMR spectra using FFT Cross Correlation
Args:
all_data (object) : dnpdata object
dim (str) : dimension to align along
reference (numpy... |
import inspect
from stepist.flow.steps.next_step import call_next_step
from stairs.core.session.project_session import get_project
from stairs.core.utils import signals
from stairs.core import app_components
from stairs.core.pipeline import data_pipeline
class PipelineInfo:
"""
User interface for pipeline... |
# coding: utf-8
import pandas as pd
import jieba
import time
import json
stopWord_path=r"../source/哈工大停用词表.txt"
# -------------------------------------情感词典读取-------------------------------
# 注意：
# 1.词典中怒的标记(NA)识别不出被当作空值,情感分类列中的NA都给替换成NAU
# 2.大连理工词典中有情感分类的辅助标注(有NA),故把情感分类列改好再替换原词典中
# 扩展前的词典
df = pd.read... |
import scoring
import argparse
import sys
import random
# <NAME>
# 'python ./align.py -h' for usage information
def smith_waterman(seq1, seq2, gap_penalty=-4, sf=scoring.ScoreFunction()):
n = len(seq1)
m = len(seq2)
score_matrix = [[0] * (m + 1) for i in range(n + 1)]
trace_matrix = [[None] * (m + 1) f... |
from collections import OrderedDict
import math
import os
import unittest
import numpy as np
import pystan
import pystan.chains
class TestMcmcChains(unittest.TestCase):
# REF: stan/src/test/unit/mcmc/chains_test.cpp
@classmethod
def setUpClass(cls):
testdata_path = os.path.join(os.path.dirname(__... |
import db_executor as executor
import fund_list
import etf_rate_info
import fund_rate_info
import fund_price_info
import fund_basic
# 基金类型字典
fund_type_dic = {
"QDII": "1",
"商品(不含QDII)": "2",
"股票型": "3",
"指数型-股票": "4",
"混合型-偏债": "51",
"混合型-偏股": "52",
"混合型-平衡": "53",
"混合型-灵活": "61",
"... |
#!/usr/bin/python
from __future__ import division
import numpy as np
import math
from scipy.special import *
from numpy.matlib import repmat
from scipy.signal import lfilter
from scikits.audiolab import Sndfile, Format
import argparse
import sys
np.seterr('ignore')
def MMSESTSA(signal, fs, IS=0.25, W=1024, NoiseMarg... |
import numpy as np
import itertools
import multiprocessing
MAX_ITERATES = 5000
class Sampling(object):
def __init__(self, seed=1):
self.reset(seed)
def reset(self, seed=1):
self.rng = np.random.RandomState(seed)
self.seed = seed
class NegativeSampling(Sampling):
def __init__(self... |
import twitter
import json
from .twmng import twitter_api
from ._app import app
from flask import (render_template, request, redirect,
url_for, session, jsonify)
from .models import Books, Users
from ._app import db
# index
@app.route('/')
def index():
# メッセージがなかったら無視する
if ('message' in ses... |
# Copyright (c) The Libra Core Contributors
# SPDX-License-Identifier: Apache-2.0
from ..business import BusinessContext, BusinessForceAbort, \
BusinessValidationFailure, VASPInfo
from ..protocol import OffChainVASP
from ..libra_address import LibraAddress
from ..protocol_messages import CommandRequestObject, OffC... |
import csv
import torch
import torch.utils.data as tud
from transformers import BertTokenizer
from torch.nn.utils.rnn import pad_sequence
TRAIN_DATA_PATH = '../data/train_update.csv'
TOKENIZER_PATH = '../bert-base-chinese'
BATCH_SIZE = 128
MAX_LEN = 512
def collate_fn_train(batch_data):
"""
DataLoader所需的colla... |
import datetime
from typing import Optional
from django.db import models
from profile_page.models import UserProfile
from django.core.exceptions import ObjectDoesNotExist
from django.core.exceptions import FieldDoesNotExist
from django.db.models import F, QuerySet
from django.utils import timezone
from datetime impor... |
import pandas as pd
import numpy as np
from sklearn.impute import SimpleImputer
from src.utils.io import load, save
def drop_not_relevant(features, targets, days):
features = features.iloc[days:]
targets = targets.iloc[days:]
return features, targets
def impute(features):
imp_mean = SimpleImputer(mi... |
import sys
import os
import subprocess
import time
try:
sys.path.append(os.path.join(os.path.dirname(
__file__), '..', '..', '..', '..', "tools")) # tutorial in tests
sys.path.append(os.path.join(os.environ.get("SUMO_HOME", os.path.join(
os.path.dirname(__file__), "..", "..", "..")), "to... |
# mesh_select_by_pi.py Copyright (C) 2011, <NAME>
# Extrude a selection from a mesh multiple times
# ##### BEGIN GPL LICENSE BLOCK #####
#
# 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; eit... |
"""Optimizer which performs averaging and bundle adjustment on all images in the scene.
Authors: <NAME>, <NAME>
"""
from typing import Dict, List, Optional, Tuple
import dask
import os
from pathlib import Path
from dask.delayed import Delayed
from gtsam import (
Cal3Bundler,
PinholeCameraCal3Bundler,
Poin... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
# -*- coding: utf-8 -*-
import os
import tempfile
import parse
import requests
import requirements
try:
from HTMLParser import HTMLParser
except ImportError:
from html.parser import HTMLParser
# List of version control systems we support.
VCS_LIST = ('git', 'svn', 'hg', 'bzr')
def format_toml(data):
"""... |
"""Source:
* https://doc.qt.io/qtforpython/examples/example_widgets_layouts_flowlayout.html
* Many hours of frustration
"""
from logging import getLogger
from typing import TYPE_CHECKING, Callable, Iterator, Optional, TypeAlias
from PySide6.QtCore import QPoint, QRect, QSize, Qt
from PySide6.QtGui import QKeySequence,... |
from copy import deepcopy
from typing import Union, Iterable, Collection, Optional, List
import random
import numpy as np
from MidiCompose.logic.rhythm.time_unit import TimeUnit
from MidiCompose.utilities import temp_seed, ctx_random_seed
class BeatIterator:
def __init__(self, beat):
self._Beat = beat
... |
from django.shortcuts import render, redirect
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.decorators import login_required
from django import conf
import json
from django.db.models import Q
from django.core.paginator import Paginator, PageNotAnInteger, EmptyPage
from kingadmin i... |
"""
Abstract (higher order) functions
"""
import functools
def digital_method(coefficients, val, add, mul, act, power, zero, one):
"""
Evaluate a univariate polynomial at val.
The polynomial is given as an iterator 'coefficients' which yields
(degree, coefficient) pair in descending order of degree.
... |
import json
from mock import MagicMock
from pyramid.security import ALL_PERMISSIONS
class TestNestedMutationDict:
def test_dictwrapper_comparison(self):
from kotti.sqla import NestedMutationDict
assert NestedMutationDict({}) == NestedMutationDict({})
assert (
NestedMutationDi... |
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