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"""A module for converting a data source to TFRecords."""
import os
import json
import copy
import csv
from pathlib import Path
from shutil import rmtree
import PIL.Image as Image
import tensorflow as tf
from tqdm import tqdm
from .feature import items_to_features
from .errors import DirNotFoundError, InvalidDataset... |
"""
Thư viện này viết ra phục vụ cho môn học `Các mô hình ngẫu nhiên và ứng dụng`
Sử dụng các thư viện `networkx, pandas, numpy, matplotlib`
"""
import networkx as nx
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.image import imread
import pandas as pd
def _gcd(a, b):
if a == 0:
retu... |
from typing import List, Dict
import pathlib
import shutil
import enum
from typer import Option as O_
import typer
from cs_tools.helpers.cli_ux import console, frontend, CSToolsGroup, CSToolsCommand
from cs_tools.util.datetime import to_datetime
from cs_tools.tools.common import run_tql_command, run_tql_script, tsloa... |
from __future__ import print_function
import atexit
import errno
import logging
import os
import select
import signal
import sys
import time
from process_tests import setup_coverage
TIMEOUT = int(os.getenv('MANHOLE_TEST_TIMEOUT', 10))
SOCKET_PATH = '/tmp/manhole-socket'
OUTPUT = sys.__stdout__
def handle_sigterm(s... |
import numpy as np
from scipy.special import factorial
from pyapprox.indexing import hash_array
from pyapprox.indexing import compute_hyperbolic_level_indices
def multiply_multivariate_polynomials(indices1,coeffs1,indices2,coeffs2):
"""
TODO: instead of using dictionary to colect terms consider using
uniqu... |
#!/usr/bin/env python
# <NAME>, 2013 (zougloub)
"""
reStructuredText support (experimental)
Example::
def configure(conf):
conf.load('rst')
if not conf.env.RST2HTML:
conf.fatal('The program rst2html is required')
def build(bld):
bld(
features = 'rst',
type = 'rst2html', # rst2html, rst2pdf, ...
... |
# coding: utf-8
import socketserver
import re
import socket
import datetime
import os
import mimetypes as MT
import sys
# Copyright 2013 <NAME>, <NAME>
#
# 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 ... |
import os, re, errno
import markdown
import cgi
from cuddlefish import packaging
from cuddlefish.docs import apirenderer
from cuddlefish._version import get_versions
INDEX_PAGE = '/doc/static-files/base.html'
BASE_URL_INSERTION_POINT = '<base '
VERSION_INSERTION_POINT = '<div id="version">'
THIRD_PARTY_PACKAGE_SUMMAR... |
# ------------------------------------------------------------------------------------------------ #
# MIT License #
# #
# Copyright (c) 2... |
"""Git interface."""
from __future__ import annotations
import contextlib
import functools
import operator
import re
import subprocess # noqa: S404
from dataclasses import dataclass
from dataclasses import field
from pathlib import Path
from typing import Any
from typing import cast
from typing import Iterator
from t... |
def pol_V(offset=None):
yield from mv(m1_simple_fbk,0)
cur_mono_e = pgm.en.user_readback.value
yield from mv(epu1.table,6) # 4 = 3rd harmonic; 6 = "testing V" 1st harmonic
if offset is not None:
yield from mv(epu1.offset,offset)
yield from mv(epu1.phase,28.5)
yield from mv(pgm.en,cur_mon... |
import abc
import math
from ... import constants
class Rule(abc.ABC):
def __init__(self, failure_bin, **kwargs):
self.failure_bin = failure_bin
self.enabled = kwargs.get("enabled", True)
self.threshold = kwargs.get("threshold", float("nan"))
self.rule_name = kwargs.get("rule_name"... |
import transitions
from functools import partial
# from transitions import transitions.Machine
# TODO: whenever there is a state chage store the following
# (DAY,function_called) -> Stored for every person for agent status, state and Testing state
class AgentStatusA(object):
"""The Statemachine of the agent"""
stat... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
:Brief: Produces rand disjoint communities (clusters) for the given network with sizes similar in the ground truth.
:Description:
Takes number of the resulting communities and their sizes from the specified groundtruth (actually any sample
of the community structure, ... |
import math
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
from scipy.stats import ttest_ind
from sklearn.preprocessing import LabelEncoder
def load_data():
questionnaire = pd.read_excel('XAutoML.xlsx')
encoder = LabelEncoder()
encoder.classes_ = np.array([... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
"""
Taskmaster-2 implementation for ParlAI.
No official train/valid/test splits are available as of 2020-05-18, so we m... |
# Copyright (c) AIRBUS and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from __future__ import annotations
from typing import Dict, Tuple
from skdecide.discrete_optimization.rcpsp_multiskill.rcpsp_multiskill import (
E... |
"A Console-Based Email Client"
#!/usr/local/bin/python
"""
##########################################################################
pymail - a simple console email interface client in Python; uses Python
poplib module to view POP email messages, smtplib to send new mails, and
the email package to extract mail header... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
THOR detects differential peaks in multiple ChIP-seq profiles associated
with two distinct biological conditions.
Copyright (C) 2014-2016 <NAME> (<EMAIL>)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public... |
import os
import time
import argparse
import torchvision
import torch
import torch.nn as nn
from util import AverageMeter, TwoAugUnsupervisedDataset
from encoder import SmallAlexNet
from align_uniform import align_loss, uniform_loss
import json
def parse_option():
parser = argparse.ArgumentParser('STL-10 Repres... |
import curtsies.events as ev
import sys
DELIMITERS = ' .'
WHITESPACE = ' '
def print_console(txt, npadding=0, newline=False, flush=True):
"""
Prints txt without newline, cursor positioned at the end.
:param txt: The text to print
:param length: The txt will be padded with spaces to fit this length
... |
import numpy as np
from mpi4py import MPI
from src.imagine.goal_generator.simple_sentence_generator import SentenceGeneratorHeuristic
from src import logger
class GoalSampler:
def __init__(self,
policy_language_model,
reward_language_model,
goal_dim,
... |
import pytest
import operator as op
from sweetpea import fully_cross_block
from sweetpea.primitives import Factor, DerivedLevel, WithinTrial, Transition, Window
from sweetpea.encoding_diagram import __generate_encoding_diagram
color = Factor("color", ["red", "blue"])
text = Factor("text", ["red", "blue"])
con_lev... |
from simple_network.tcp_app_server import *
import httptools
"""
Module Docstring
Docstrings: http://www.python.org/dev/peps/pep-0257/
"""
__author__ = 'ButenkoMS <<EMAIL>>'
# ======================================================================
# ===================GLOBAL SETTINGS FOR ALL TESTS===================... |
#!/usr/bin/env python3
# coding: utf-8
# Adapted from: https://github.com/zpincus/celltool/blob/master/celltool/numerics/image_warp.py
from scipy import ndimage
import numpy as np
from probreg import bcpd
import tifffile
import matplotlib.pyplot as plt
import napari
from magicgui import magic_factory, widgets
from nap... |
import abc
import socket
import logging
import asyncio
import warnings
import h2.config
import h2.exceptions
from .utils import DeadlineWrapper
from .const import Status
from .stream import send_message, recv_message
from .stream import StreamIterator
from .metadata import Metadata, Deadline
from .protocol import H2P... |
import os
import requests
import time
import uuid
import configparser
import datetime
import fbchat
import re
from fbchat import Client, ImageAttachment
from fbchat import FBchatException
from pathlib import Path
politeness_index = 0.5 # ;)
epoch = datetime.datetime(1970, 1, 1)
# Hack to get the login to work, see:... |
"""A collection of utility function, shared across modules."""
import collections
import datetime
import gzip as gz
import logging
import os
import re
import shutil
import subprocess
from argparse import ArgumentTypeError
from copy import deepcopy
from logging import Logger
from typing import (Any, Callable, Dict, Gene... |
#!/usr/bin/env python
# coding: utf-8
# This script generates a zone plate pattern (based on partial filling) given the material, energy, grid size and number of zones as input
# In[1]:
import numpy as np
import matplotlib.pyplot as plt
from numba import njit
from joblib import Parallel, delayed
from tqdm import tq... |
from uuid import UUID
import django_rq
import logging
from datetime import datetime, timezone, timedelta
from django.core.mail import mail_managers
from django.db.models import Count
from django.db.models.functions import TruncDay
from django.http import HttpResponse, HttpResponseRedirect, Http404
from django.shortcu... |
import json
from collections import OrderedDict
from typing import Union, List
import clip
import torch
import torch.nn as nn
import torch.nn.functional as F
from libs.definitions import ROOT
label_file = ROOT / 'imagenet_class_index.json'
with open(label_file, 'r') as f:
labels = json.load(f)
_DEFAULT_CLASSNAM... |
"""JSON (de)serialization framework.
The framework presented here is somewhat based on `Go's "json" package`_
(especially the ``omitempty`` functionality).
.. _`Go's "json" package`: http://golang.org/pkg/encoding/json/
"""
import abc
import binascii
import logging
import OpenSSL
import six
from josepy import b64,... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 11 13:30:53 2017
@author: laoj
"""
import numpy as np
import pymc3 as pm
import theano.tensor as tt
from pymc3.distributions.distribution import Discrete, draw_values, generate_samples, infer_shape
from pymc3.distributions.dist_math import bound, lo... |
from useful import *
from os import system
def remove_implication(formula):
while ">" in formula:
operator = formula.find(">")
print(formula, operator)
subform_left = get_subform_left(formula, operator)
subform_right = get_subform_right(formula, operator)
formula = get_remo... |
# -*- coding: utf-8 -*-
# !/usr/bin/python
__author__ = 'ma_keling'
# Version : 1.0.0
# Start Time : 2018-11-29
# Update Time :
# Change Log :
## 1.
## 2.
## 3.
import time
import arcpy
import math
def express_arcpy_error():
severity = arcpy.GetMaxSeverity()
if severity =... |
#!/usr/bin/python
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
ANSIBLE_METADATA = {
'metadata_version': '1.1',
'status': ['preview'],
'supported_by': 'community'
}
DOCUMENTATION = '''
---
module: import_workload_create_instance
short_description: Create NBD ex... |
"""Submit a batch task to livy server."""
import argparse
import datetime
import importlib
import json
import logging
import re
import typing
import livy
import livy.cli.config
import livy.cli.logging
logger = logging.getLogger(__name__)
class PreSubmitArguments(argparse.Namespace):
"""Typed :py:class:`~argpars... |
#!/usr/bin/env python3
# Standalone script which rebuilds the history of maintainership
#
# Copyright (C) 2015 Intel Corporation
# Author: <NAME> <<EMAIL>>
#
# Licensed under the MIT license, see COPYING.MIT for details
import sys
import os.path
import optparse
import logging
sys.path.insert(0, os.path.realpath(os.p... |
"""
Copyright (c) 2017 <NAME>
https://github.com/jeffmer/micropython-ili9341
Jan 6, 2018
MIT License
https://github.com/jeffmer/micropython-ili9341/blob/master/LICENSE
"""
# This is an adapted version of the ILI934X driver as below.
# It works with multiple fonts and also works with the esp32 H/W SPI implementation
#... |
import subprocess
import os
import sys
import datetime
import random
from configparser import ConfigParser
from datetime import datetime
import s03_heteroplasmy_likelihood, s04_sort_candidates, s05_select_sites, s06_location_conservation
import multiprocessing
def check_exist(cmd, thing):
try:
subprocess.c... |
# extdiff.py - external diff program support for mercurial
#
# Copyright 2006 <NAME> <<EMAIL>>
#
# This software may be used and distributed according to the terms of the
# GNU General Public License version 2 or any later version.
'''command to allow external programs to compare revisions
The extdiff Mercurial exten... |
from __future__ import annotations
from math import log
from typing import List, Type, Union
from imm import MuteState, Sequence, lprob_add, lprob_zero
from nmm import (
AminoAlphabet,
AminoLprob,
BaseLprob,
CodonLprob,
CodonMarg,
DNAAlphabet,
FrameState,
RNAAlphabet,
codon_iter,
)... |
import unittest
import os
import pathlib
import h5py
from desc.input_reader import InputReader
from desc.equilibrium_io import hdf5Writer, hdf5Reader
from desc.configuration import Configuration, Equilibrium
#from desc.input_output import read_input
#class TestIO(unittest.TestCase):
# """tests for input/output fun... |
#!/usr/bin/python3
import logging
import argparse
from time import time
import toml
from data.io.knowledge_graph import KnowledgeGraph
from data.io.tarball import Tarball
from data.io.tsv import TSV
from data.utils import is_readable, is_writable
from embeddings import graph_structure
from tasks.node_classification ... |
from pso.GPSO import GPSO
import numpy as np
import time
import pandas as pd
np.random.seed(42)
# f1 完成
def Sphere(p):
# Sphere函数
out_put = 0
for i in p:
out_put += i ** 2
return out_put
# f2 完成
def Sch222(x):
out_put = 0
out_put01 = 1
for i in x:
out_put += abs(i)
... |
import optparse
import sys
from sys import getsizeof
import logging
from signal import signal, SIGINT
import time
import requests
# MIT License
#
# Copyright (c) 2022 SaicharanKandukuri
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation file... |
#!/usr/bin/env python3
"""Module containing the ClusteringPredict class and the command line interface."""
import argparse
import pandas as pd
import joblib
from biobb_common.generic.biobb_object import BiobbObject
from sklearn.preprocessing import StandardScaler
from biobb_common.configuration import settings
from b... |
#!/usr/bin/env python
from anti_instagram.AntiInstagram import AntiInstagram
from cv_bridge import CvBridge, CvBridgeError
from duckietown_msgs.msg import (AntiInstagramTransform, BoolStamped, Segment,
SegmentList, Vector2D, FSMState)
from duckietown_utils.instantiate_utils import instantiate
from duckietown_utils.... |
# 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 warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... |
import collections
import decimal
import json
import logging
from django.apps import apps
from django.conf import settings
from django.contrib.contenttypes.fields import GenericRelation
from django.contrib.postgres.fields import JSONField
from django.core.exceptions import ValidationError
from django.core.validators i... |
import datetime
import os
import yaml
import numpy as np
import pandas as pd
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from scipy.integrate import solve_ivp
from scipy.optimize import minimize
import plotly.graph_objs as go
ENV_F... |
#!/usr/bin/env python
# coding: utf-8
# In[1]:
from __future__ import absolute_import, division, print_function
import argparse
import logging
import os
import random
import sys
from io import open
import numpy as np
import torch
import json
from torch.utils.data import (DataLoader, SequentialSampler, RandomSampl... |
import os
import json
from torchblocks.metrics import SequenceLabelingScore
from torchblocks.trainer import SequenceLabelingTrainer
from torchblocks.callback import TrainLogger
from torchblocks.processor import SequenceLabelingProcessor, InputExample
from torchblocks.utils import seed_everything, dict_to_text, bu... |
import torch
from lib.utils import is_parallel
import numpy as np
np.set_printoptions(threshold=np.inf)
import cv2
from sklearn.cluster import DBSCAN
def build_targets(cfg, predictions, targets, model, bdd=True):
'''
predictions
[16, 3, 32, 32, 85]
[16, 3, 16, 16, 85]
[16, 3, 8, 8, 85]
torch.t... |
# Copyright 2014 Intel Corp.
#
# 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 writing, soft... |
import gzip
import json
import pickle
from collections import defaultdict
from pathlib import Path
from zipfile import ZipFile
from tqdm import tqdm
from capreolus import ConfigOption, Dependency, constants
from capreolus.utils.common import download_file, remove_newline
from capreolus.utils.loginit import get_logger... |
# coding=utf-8
# Copyright 2020 The Learning-to-Prompt 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
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
from django import forms
from zentral.core.probes.forms import BaseCreateProbeForm
from zentral.utils.forms import validate_sha256
from .probes import (OsqueryProbe, OsqueryComplianceProbe,
OsqueryDistributedQueryProbe, OsqueryFileCarveProbe,
OsqueryFIMProbe)
# OsqueryProbe
... |
import numpy
from scipy.spatial import distance
import matplotlib.pyplot as plt
import math
import matplotlib.ticker as mtick
freqs = [20, 25, 31.5, 40, 50, 63, 80, 100, 125, 160, 200, 250, 315, 400, 500, 630, 800, 1000, 1250, 1600, 2000, 2500, 3150, 4000, 5000, 6300, 8000, 10000, 12500]
def cosine_distance(a, b, we... |
"""Command line tool to extract meaningful health info from accelerometer data."""
import accelerometer.accUtils
import argparse
import collections
import datetime
import accelerometer.device
import json
import os
import accelerometer.summariseEpoch
import sys
import pandas as pd
import numpy as np
import matplotlib.p... |
import numpy as np
import random
from scipy.stats import skew as scipy_skew
from skimage.transform import resize as skimage_resize
from QFlow import config
## set of functions for loading and preparing a dataset for training.
def get_num_min_class(labels):
'''
Get the number of the minimum represented class i... |
'''
This file implements various optimization methods, including
-- SGD with gradient norm clipping
-- AdaGrad
-- AdaDelta
-- Adam
Transparent to switch between CPU / GPU.
@author: <NAME> (<EMAIL>)
'''
import random
from collections import OrderedDict
import numpy as np
i... |
from __future__ import print_function
import os, sys
import pickle
import time
import glob
import numpy as np
import torch
from model import PVSE
from loss import cosine_sim, order_sim
from vocab import Vocabulary
from data import get_test_loader
from logger import AverageMeter
from option import parser, verify_input... |
# Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... |
"""
Test script for src=9 provisioning
Below are some odd examples and notes:
Adding a class
{
'src': '9',
'uln': 'Githens',
'ufn': 'Steven',
'aid': '56021',
'utp': '2',
'said': '56021',
'fid': '2',
'username': 'swgithen',
'ctl': 'CourseTitleb018b622-b425-4af7-bb3d-d0d2b4deb35c',
'diagnost... |
# emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the PyMVPA package for the
# copyright and license terms.
#
### ### ### ### ###... |
# -*- coding: utf-8 -*-
# Copyright (c) 2013 <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, including without limitation the rights
# to use, copy, mo... |
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.wait import WebDriverWait
from selenium.webdriver.common.action_chains import ActionChains
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys... |
"""Shaft element module for STOCHASTIC ROSS.
This module creates an instance of random shaft element for stochastic
analysis.
"""
from ross.shaft_element import ShaftElement
from ross.stochastic.st_materials import ST_Material
from ross.stochastic.st_results_elements import plot_histogram
from ross.units import Q_, ch... |
import os
import sys
import string
def is_active():
return True
def get_name():
return "WinRT"
def can_build():
if (os.name=="nt"):
#building natively on windows!
if (os.getenv("VSINSTALLDIR")):
return True
return False
def get_opts():
return []
def get_flags():
return []
def configure(env):
... |
"""
Module for managing enemies.
"""
import random
import constants as const
import pygame
import random
import platforms
from spritesheet_functions import SpriteSheet
class Enemy(pygame.sprite.Sprite):
# -- Methods
def __init__(self, x_cord, y_cord,level, x_speed=2, char_type=0):
""" Constructor ... |
import json
import logging
from django.core.management.base import BaseCommand
from django.db import transaction
from osf.models import AbstractProvider, PreprintProvider, Preprint, Subject
from osf.models.provider import rules_to_subjects
from scripts import utils as script_utils
from osf.models.validators import va... |
import torch.utils.data as data
import os
import os.path
import numpy as np
from numpy.random import randint
import torch
from colorama import init
from colorama import Fore, Back, Style
import random
from os import listdir
from os.path import join, splitext
import numpy as np
import torch
import torch.nn.functiona... |
import time
from collections import deque
import gym
import numpy as np
from stable_baselines import logger, PPO2
from stable_baselines.a2c.utils import total_episode_reward_logger
from stable_baselines.common import explained_variance, TensorboardWriter
from stable_baselines.common.runners import AbstractEnvRunner
fr... |
#!/usr/bin/env python
#
# Copyright (C) 2009 Google Inc.
#
# Licensed under the Apache License 2.0;
# This module is used for version 2 of the Google Data APIs.
"""Provides classes and constants for the XML in the Google Spreadsheets API.
Documentation for the raw XML which these classes represent can be found he... |
# coding=utf-8
import sys
import argparse
import os
from tensorflow.python.platform import gfile
import numpy as np
import tensorflow as tf
from tensorflow.python.layers.core import Dense
from utils.data_manager import load_data, load_data_one
from collections import defaultdict
from argparse import ArgumentParser
fro... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import numpy as np
# continuously differentiable
fn_dict_cdiff = {'2dpoly': 1, 'sigmoid': 2,
'sin': 3, 'frequent_sin': 4,
'3dpoly': 7, 'linear': 8}
# continuous but not differentiable
fn_dict_cont = {'abs': 0, '... |
import argparse
import os
import pathlib
import cv2
import pickle
import numpy as np
from matplotlib import pyplot as plt
from PIL import Image
from numpy import genfromtxt
def parse_command_line_options(print_options=False):
parser = argparse.ArgumentParser()
parser.add_argument("-n", type=int, default=-1)... |
from collections import defaultdict
from pathlib import Path
import re
import yaml
import json
from botok import Text
import pyewts
conv = pyewts.pyewts()
def dictify_text(string, is_split=False, selection_yaml='data/dictionaries/dict_cats.yaml', expandable=True, mode='en_bo'):
"""
takes segmented text and... |
import higher
from leap import Leap
import numpy as np
import os
import torch
import torch.nn as nn
import gc
def train(model, source_corpus, char2idx, args, device):
model = model.to(device)
optimizer = torch.optim.Adam(model.parameters(), lr=args.lr_init)
lr_scheduler = torch.optim.lr_scheduler.ReduceLR... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# -*- coding: utf-8 -*-
"""
# @Time : 2019/5/27
# @Author : Jiaqi&Zecheng
# @File : sem_utils.py
# @Software: PyCharm
"""
import os
import json
import re as regex
import spacy
from nltk.stem import WordNetLemmatizer
wordnet_lemmatizer =... |
# encoding: utf-8
from __future__ import unicode_literals
import six
from django.db.models import Manager
from django.db.models.query import QuerySet
from .compat import (ANNOTATION_SELECT_CACHE_NAME, ANNOTATION_TO_AGGREGATE_ATTRIBUTES_MAP, chain_query, chain_queryset,
ModelIterable, ValuesQuery... |
import logging
import os
import re
import sublime
# external dependencies (see dependencies.json)
import jsonschema
import yaml # pyyaml
# This plugin generates a hidden syntax file containing rules for additional
# chainloading commands defined by the user. The syntax is stored in the cache
# directory to avoid the... |
import sklearn.mixture
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import ticker
import matplotlib.patheffects as mpatheffects
def get_gmm_and_pos_label(
array, n_components=2, n_steps=5000
):
gmm = sklearn.mixture.GaussianMixture(
n_components=n_components, covarianc... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time: 2020/5/14 20:41
# @Author: Mecthew
import time
import numpy as np
import pandas as pd
import scipy
from sklearn.svm import LinearSVC
from sklearn.linear_model import logistic
from sklearn.calibration import CalibratedClassifierCV
from sklearn.metrics import ac... |
# -*- coding: utf-8-*-
import os
import base64
import tempfile
import pypinyin
from aip import AipSpeech
from . import utils, config, constants
from robot import logging
from pathlib import Path
from pypinyin import lazy_pinyin
from pydub import AudioSegment
from abc import ABCMeta, abstractmethod
from .sdk import Tenc... |
#!/usr/bin/python3
import shutil
import os
import base64
from time import sleep
import flask
import requests.exceptions
import blueprint
from flask_cors import CORS
from confhttpproxy import ProxyRouter, ProxyRouterException
from flask import Flask, jsonify
import rest_routes
from lmsrvcore.utilities.migrate import... |
# Lint as: python3
# Copyright 2019 DeepMind Technologies Limited. 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
#
# ... |
from collections import defaultdict, namedtuple
import torch
# When using the sliding window trick for long sequences,
# we take the representation of each token with maximal context.
# Take average of the BERT embeddings of these BPE sub-tokens
# as the embedding for the word.
# Take *weighted* average of the word ... |
"""Solvates a host, inserts guest(s) into solvated host, equilibrates
"""
import os
import time
import tempfile
import numpy as np
from rdkit import Chem
from md import builders, minimizer
from fe import pdb_writer, free_energy
from ff import Forcefield
from ff.handlers.deserialize import deserialize_handlers
from t... |
# modified from TikNib/tiknib/ida/fetch_funcdata_v7.5.py
import os
import sys
import string
from hashlib import sha1
from collections import defaultdict
import time
import pprint as pp
import idautils
import idc
import idaapi
import ida_pro
import ida_nalt
import ida_bytes
sys.path.append(os.path.... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon May 10 23:54:16 2021
@author: rolandvarga
"""
import gym
import numpy as np
import matplotlib.pyplot as plt
import time
from scipy.signal import savgol_filter
import pickle
#%matplotlib qt
#%matplotlib inline
# Set to 1 to repeat SARSA learning (With... |
"""A simple Google-style logging wrapper."""
import logging
import time
import traceback
import os
import sys
import gflags as flags
FLAGS = flags.FLAGS
def format_message(record):
try:
record_message = "%s" % (record.msg % record.args)
except TypeError:
record_message = record.msg
retu... |
from random import shuffle
import numpy as np
import torch
import torch.nn as nn
import math
import torch.nn.functional as F
import cv2
from matplotlib.colors import rgb_to_hsv, hsv_to_rgb
from PIL import Image
from .RepulsionLoss.my_repulsion_loss import repulsion
def preprocess_input(image):
image /= 255
... |
"""
Metrics to calculate and manipulate the ROC Convex Hull on a classification task given scores.
"""
# Author: <NAME> <<EMAIL>>
from collections import namedtuple
from math import sqrt
from typing import List, Dict, Tuple, Union
# DESCRIPTION:
#
# This program computes the convex hull of a set of ROC points
# (t... |
# Code Taken from https://github.com/LYH-YF/MWPToolkit
# -*- encoding: utf-8 -*-
# @Author: <NAME>
# @Time: 2021/08/29 22:05:03
# @File: transformer_layer.py
import torch
import math
from torch import nn
from torch.nn import functional as F
from transformers.activations import gelu_new as gelu_bert
from module.Att... |
from rest_framework import serializers, exceptions
from greenbudget.lib.rest_framework_utils.serializers import (
EnhancedModelSerializer)
from greenbudget.app.account.models import BudgetAccount, TemplateAccount
from greenbudget.app.tagging.serializers import ColorField
from greenbudget.app.subaccount.models imp... |
# -*- coding: utf8 -*-
"""
======================================
Project Name: NLP
File Name: linears
Author: czh
Create Date: 2021/11/15
--------------------------------------
Change Activity:
======================================
"""
import math
import torch
import torch.nn as nn
import torch.... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
import aiohttp
import asyncio
import async_timeout
import logging
from collections import namedtuple, deque
from .events import Events
from html.parser import HTMLParser
log = logging.getLogger(__name__)
class Parser(HTMLParser):
def handle_starttag(self, tag, attrs):
log.debug("Encountered a start tag:... |
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