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"""The instruction decoder part of the RISC-V CPU"""
from baremetal import *
from chips_v.utils import *
def decode(instruction, src1, src2, fwd1, fwd2, fwd_val, this_pc):
rs1 = instruction[19:15]
rs2 = instruction[24:20]
opcode = instruction[6:0]
shamt = instruction[24:20]
funct3 = instruction[... |
import pickle
import time
import numpy as np
import torch
import tqdm
from liga.models import load_data_to_gpu
from liga.utils import common_utils
def statistics_info(cfg, ret_dict, metric, disp_dict):
for cur_thresh in cfg.MODEL.POST_PROCESSING.RECALL_THRESH_LIST:
metric['recall_roi_%s' % str(cur_thres... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from .policies import *
from .objects import *
class BaseAgent(Object):
'''
QTable: Q Table
state: state of agent
last_state: last state
init_state: init. state
'''
env = None
n_steps = 0
total_reward = 0
def next_state(self, act... |
import json
import torch
from torch.nn import functional as F
from torch.utils.data import DataLoader
from tqdm import tqdm
from helpers.text import devectorize
from helpers.training import load_checkpoint
from models.translate import prior_model_from_checkpoint
from modules.data.collates import Seq2SeqCollate
from m... |
# Copyright 2021 NVIDIA CORPORATION
# SPDX-License-Identifier: Apache-2.0
#
# Script to generate the GLSL compute functions
#
# uint autogeneratedGetCaseNumber(float sample000, float sample001, float sample010, float sample011,
# float sample100, float sample101, float sample110, float s... |
from imgaug import augmenters as iaa
import matplotlib.pyplot as plt
from itertools import cycle
from scipy import interp
import tensorflow as tf
import itertools
import numpy as np
import json
import argparse
import warnings
import os
from synth.utils import datagenerate
from sklearn.metrics import roc_curve, auc, a... |
# convert the downscaled data archive
def run( x ):
''' simple wrapper to open and return a 2-D array from a geotiff '''
import rasterio
return rasterio.open(x).read(1)
def sort_files( files, split_on='_', elem_month=-2, elem_year=-1 ):
'''
sort a list of files properly using the month and year parsed
from the... |
# import XML libraries
import xml.etree.ElementTree as ET
import xml.dom.minidom as minidom
import HTMLParser
# Function to create an XML structure
def make_problem_XML(
problem_title='Missing title',
problem_text=False,
label_text='Enter your answer below.',
description_text=False,
answers=[{'corr... |
import numpy as np, matplotlib.pyplot as plt, seaborn as sns
from rdkit import Chem
from dataclasses import dataclass
from utils.exp import BaseArgs, BaseExpLog
from utils.data import remove_processed_data
import torch
from torch_geometric.data import DataLoader
from data.data_processors.ts_gen_processor import TSGenDa... |
#!/usr/bin/env python
"""Script used to generate a cuboid dataset with cubes and rectangles under
various shapes, rotations, translations following the general format of
ShapeNet.
"""
import argparse
import random
import os
from string import ascii_letters, digits
import sys
import numpy as np
from progress.bar import... |
import numpy as np
import random
from collections import namedtuple, deque, defaultdict
import matplotlib.pyplot as plt
from mdp import *
import pdb
import util
import json
import pprint
import logging
import utils_nn as utils
BUFFER_SIZE = int(1e4)
BATCH_SIZE = 1
LR = 1e-3
class ReplayBuffer:
def __init__(self, bu... |
"""
This module defines all the user endpoints
"""
import re
import json
import requests
from flask import (
jsonify, request, abort, make_response, json, Blueprint, render_template_string, url_for, redirect)
from flask_jwt_extended import (
jwt_required, create_access_token,
jwt_refresh_token_required, cre... |
# coding: utf-8
import plugins.tools as tl
import time
import datetime
import subprocess
import shutil
from slackbot.bot import respond_to
from slackbot.bot import listen_to
from slackbot.bot import default_reply
import os
import sys
sys.path.append("{}/gametools".format(os.getcwd()))
import ggssapi_gameresult as ggss... |
# -*- coding: utf-8 -*-
"""Module providing stuff for plugin handling
"""
# import basic stuff
import logging
import abc
import sys
import argparse
from typing import List, Optional, Type, Any
# import own stuff
import tlsmate.config as conf
import tlsmate.structs as structs
# import other stuff
class Args(object):... |
class Point3:
"""A point in three-dimensional space."""
def __init__(self, x=0, y=0, z=0):
self.x=x
self.y=y
self.z=z
def __repr__(self):
return f"({self.x},{self.y},{self.z})"
def __str__(self):
return self.__repr__()
def __add__(self, other... |
#
# Python script to get the list of virtual addresses in an Identity Pool
#
# _author_ = <NAME> <<EMAIL>>
#
# Copyright (c) 2021 Dell EMC Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the Li... |
import argparse
import datetime
import netrc
import os
import subprocess
import threading
import time
import typing
import google.auth
import googleapiclient.discovery
from src.context import DataContext
TIMEOUT_MULTIPLIER = 10
API = googleapiclient.discovery.build('tpu', 'v1')
_, PROJECT = google.auth.default()
OL... |
import numpy as np
import torch
import torch.nn as nn
from torch import Tensor
from ..utils import ReverseLayerF
def reparameterization(mean, log_var):
std = torch.exp(0.5 * log_var)
eps = torch.randn_like(std)
return eps.mul(std).add_(mean)
class ConvEncoder(nn.Module):
def __init__(self, data_size... |
# encoding: utf-8
from __future__ import division, print_function, unicode_literals
###########################################################################################################
#
#
# Reporter Plugin
#
# Read the docs:
# https://github.com/schriftgestalt/GlyphsSDK/tree/master/Python%20Templates/Reporter
... |
from __future__ import print_function, absolute_import
import argparse
import os.path as osp
import random
import numpy as np
import sys
import torch.nn.functional as F
from hdbscan import HDBSCAN
from sklearn.cluster import KMeans, DBSCAN
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.preprocessin... |
import uuid
from typing import Dict, List, Optional
from hestia.datetime_typing import AwareDT
from django.conf import settings
from django.contrib.postgres.fields import JSONField
from django.db import models
from django.utils import timezone
from django.utils.functional import cached_property
import auditor
impor... |
# Test results on all possible clustering methods using clustering results
import seaborn as sns
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import torch
from sklearn.metrics import silhouette_samples, silhouette_score, adjusted_rand_score
from sklearn.cluster import KMeans, SpectralClusteri... |
import copy
from typing import Callable, Tuple
import numpy as np
from odyssey.distribution import Distribution
from iliad.integrators.fields import softabs
from iliad.integrators.info import CoupledInfo
from iliad.integrators.terminal import cond
from iliad.integrators.states.coupled_state import CoupledState
from ... |
from __future__ import absolute_import, unicode_literals
import base64
import hashlib
import json
import logging
import os
import pickle
import re
from builtins import str
import numpy as np
from boto.s3.connection import Key, S3Connection
from .constants import *
from btb import ParamTypes
from future import stan... |
from collections import OrderedDict
from xnmt.settings import active as settings
import numpy as np
import dynet as dy
from xnmt.param_collection import ParamManager
from xnmt.persistence import serializable_init, Serializable, bare, Ref
import xnmt.optimizer
from xnmt.training_task import SimpleTrainingTask
class T... |
from itertools import zip_longest
from typing import List, Tuple, Optional, Dict, Set
import requests
import hashlib
from .logger import logger
from .constants import REPO_PATH
import subprocess
import shlex
import tempfile
import textwrap
from pathlib import Path
from distutils.version import Version
def vercmp(v1: ... |
import collections
import os
import random
from pathlib import Path
import logging
import shutil
from packaging import version
from tqdm import tqdm
import numpy as np
import torch
import torch.nn as nn
from torch.nn.parallel import DistributedDataParallel as DDP
import torch.distributed as dist
import torch.multipro... |
# -*- coding: utf-8 -*-
"""Generating a cosmological summary of the H0 or D_dt H0_samples
Example
-------
To run this script, pass in the version ID and the sampling method as the argument::
$ python summarize.py 21 simple_mc_default
The summary will be saved to the same directory level as the sample directo... |
#!/usr/bin/python
################################################################################
# "THE BEER-WARE LICENSE" (Revision 42): #
# <lennartATlacerta.be> wrote this file. As long as you retain this notice you #
# can do whatever you want with this stuff. If we meet som... |
__copyright__ = """
Copyright 2020 Cisco Systems, Inc.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by app... |
import argparse
import functools
import math
import sys
import traceback
import tkinter as tk
import tkinter.messagebox
from labrat.catcher import Catcher
import labrat.convert as convert
VERSION = [0, 1, 1]
def canonicalize_int(s):
try:
return str(int(s))
except ValueError:
return s
def ... |
# Copyright 2019 Inspur Corporation. 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 app... |
"""
Class for caching posts from a subreddit. Loads posts from file,
fetches new ones when the cache is stale, and computes the scores
for words found in the title
@author <NAME>
@version 7/19/21
"""
import json
import os
import time
import praw
import config
import utils
from data import Post, TermGroup
class Po... |
from tea_block import *
import math
# VERIFY DIFFERENTIAL TRAIL PROBABILITIES
def compute_round_differences(alpha, beta):
round_differences = [[0x00000000,0x00000000] for i in range(len(alpha)+1)]
# round_differences[0] = [0xFFFFFFF1, 0xFFFFFFFF]
round_differences[0] = [sub(alpha[1],beta[0]), alpha[0]]
... |
# implementation based on DeepLTL https://github.com/reactive-systems/deepltl
from argparse import ArgumentParser
import subprocess
import os.path as path
import sys
import json
import random
import tensorflow as tf
import numpy as np
from dlsgs.utils import ltl_parser
def argparser():
parser = ArgumentParser... |
import numpy as np
import pandas as pd
import rpy2
import rpy2.robjects as ro
# ro.r('library(devtools)') ## to use source_url
# ro.r('library(tidyverse)')
############################## rpy2 functions ##############################
# def pull(r):
# return r2p(ro.globalenv[r])
# def push(py,rname=None):
# im... |
"""Definitions for filesystem-related [Tasks][snoop.data.models.Task].
These are the first steps in processing any dataset: walking the filesystem and recording files and
directories in their respective database tables.
The root directory for a dataset is explored by the [snoop.data.filesystem.walk][]
[Task][snoop.da... |
import abc
import json
import logging
import queue
import random
from concurrent.futures.thread import ThreadPoolExecutor
import websocket
import threading
from typing import Type
from bpsenti.refinitiv.pipeline import PipelineStream
from .rooms import RefiRooms
from .security import TokenManagement
from ..helpers.u... |
import sspi, sspicon
import win32api
import base64
import logging
logger = logging.getLogger(__name__)
from flask import Response
from flask import _request_ctx_stack as stack
from flask import make_response
from flask import request, session, g
import threading
from functools import wraps
from socket impo... |
from manimlib.imports import *
import numpy as np
import bats
# slide scene
from manim_reveal import SlideScene
# manim interface with bats
from manimtda import *
import matplotlib
from scipy.spatial import ConvexHull
def gen_circle2(n, r=1.0):
theta = np.linspace(0, 2*np.pi*(1 - 1./n), n)
pts = np.array([r*... |
import pandas as pd
import numpy as np
####################################################################################################################
# preprocess ACS data between 2012 to 2017
table_dict = {"total_population": {"table": "B01003", "zip": "GEO.id2", "variable":"HD01_VD01"},
... |
import sys
import os
import subprocess
import errno
print("########## Chi-Tech Dependency installer ##########")
####################################### Setting install dir
cwd = os.getcwd()
install_dir = cwd + "/chi-dependencies"
log_str = ">>" + install_dir + "log.txt"
if (len(sys.argv) == 1):
print("Install dire... |
# coding:utf-8
import re
from .inflect import (
camelize,
dasherize,
humanize,
ordinal,
ordinalize,
parameterize,
pluralize,
singularize,
titleize,
transliterate,
underscore,
)
def convert_keys(m, to=None, recurse=1, in_place=0):
""" The main function to be used.
C... |
# Copyright 2018 The GamePad 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 applicable... |
# Copyright 2020 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.
"""Generates C++ code representing structured data objects from schema.org
This script generates C++ objects based on a JSON+LD schema file. Blink uses the
g... |
#!/usr/bin/env python
# This is largely adopted from https://github.com/enode-engineering/tesla-oauth2
import base64
import hashlib
import os
import sys
import re
import random
import time
import argparse
import json
from urllib.parse import parse_qs
import requests
MAX_ATTEMPTS = 7
CLIENT_ID = "81527cff06843c8634fd... |
import matplotlib.image as mpimg
import matplotlib.pyplot as plt
import numpy as np
import cv2
from detection_functions.feature_extraction import *
from toolbox.draw_on_image import *
from detection_functions.sliding_window import *
# Define a function to extract features from a single image window
# This function... |
import dash
import dash_table
import dash_core_components as dcc
import dash_html_components as html
import dash_bootstrap_components as dbc
import dash_dangerously_set_inner_html
from dash.dependencies import Input, Output, State
from dash.exceptions import PreventUpdate
import plotly.express as px
import plotly.graph... |
"""Create an icosphere from convex regular polyhedron.
Adapted from:
https://gist.github.com/AbhilashReddyM/aed58c60438bf4c313831718013ce48f
Thank you <NAME> (abhilashreddy.com)!
Original authorship:
Author: <NAME>
(<EMAIL> where cu=columbia.edu) (github.com/wgm2111)
copyright (c) 2010
liscence: BSD style
Modifie... |
import argparse
import multiprocessing
import os
import sys
_NUM_CPUS = multiprocessing.cpu_count()
import tensorflow as tf
import tqdm
import datasets
def _bytes_feature(value):
"""Returns a bytes_list from a string / byte."""
_bytes = value if not (isinstance(value, str) and sys.version_info[0] == 3) \
... |
from django.test import TestCase
from django.urls import reverse
from django.contrib.auth.models import User
from datetime import datetime
from http import HTTPStatus
from .forms import CheckoutForm, CouponForm, RefundForm, PaymentForm
from .models import Item, OrderItem, Address, Payment, Coupon, Order, Refund
class... |
# Copyright 2017 Google Inc. 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 applicable law or a... |
"""Database stuff.
:author: <NAME>
"""
import sys
from datetime import datetime
from pathlib import Path
from typing import Any, Tuple
import arrow
import click
from flask import Flask, current_app, g
from flask.cli import with_appcontext
from openpyxl import load_workbook
from sqlalchemy import create_engine
from sq... |
from utility.constants import *
from utility.amr_utils.amr import *
from utility.dm_utils.DMGraph import *
from utility.psd_utils.PSDGraph import *
import logging
score_logger = logging.getLogger("mrp.score")
def list_to_mulset(l):
s = dict()
for i in l:
if isinstance(i,AMRUniversal) and i.le == "i"an... |
import os
import requests
import tkinter as tk
from tkinter import *
import threading
from pytube import YouTube
import pyperclip as pc
import validators as vd
from PIL import ImageTk, Image
from io import BytesIO
root = tk.Tk()
root.title("Youtube Video Downloader")
img = ImageTk.PhotoImage(Image.open("Assets... |
#!/usr/bin/python2
"""
Logical Volume Management utitltes python wrapper
Written by : <NAME>
Created date: 30.04.2019
Last modified: 04.05.2019
Tested with : Python 2.7
"""
__version__ = "0.12"
__copyright__ = "<NAME> aka Kvantum (c)2019"
__all__ = ['find_lv', 'find_mount_target', 'find_mount_source', 'Logical... |
import base64
import binascii
import decimal
import json
import os
import platform
import sys
import urllib.parse as urlparse
from http.client import HTTP_PORT, HTTPConnection
DEFAULT_USER_AGENT = "AuthServiceProxy/0.1"
DEFAULT_HTTP_TIMEOUT = 30
# (un)hexlify to/from unicode, needed for Python3
unhexlify = binascii.... |
__author__ = 'ziyan.yin'
__describe__ = ''
from calendar import timegm
from datetime import datetime
from typing import Mapping
import orjson
from . import jwk
from .exceptions import JWTError, JWTClaimsError, ExpiredSignatureError
from .jws import verify, sign, load, b64decode, b64encode
def encode(claims: dict, ... |
import tkinter as tk
import sys
import os
from . themes import Theme
from . themes import ThemeConfig as _tcfg
_THEME: _tcfg = Theme.LIGHT
class Main(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
Main.configure(self, bg=_THEME.background)
center_window... |
"""
@author: <NAME>
@contact: <EMAIL>
"""
import argparse
from ifpd import const, query
from ifpd.scripts import arguments as ap # type: ignore
from ifpd.exception import enable_rich_assert
from joblib import Parallel, delayed # type: ignore
import logging
import numpy as np # type: ignore
import os
import pandas a... |
from functools import partial
from textwrap import dedent
from io import StringIO
import pytest
import pandas.testing as pdtest
import numpy
import pandas
from wqio.utils import misc
from wqio.tests import helpers
@pytest.fixture
def basic_data():
testcsv = """\
Date,A,B,C,D
X,1,2,3,4
Y,5,6,7,8
... |
from transformers import (AutoModelForTokenClassification,
AutoModelForSequenceClassification,
TrainingArguments,
AutoTokenizer,
AutoConfig,
Trainer)
from biobert_ner.utils_ner import (con... |
#!/usr/bin/env python
import re
import logging
import webapp2
import email
import datetime as dt
from google.appengine.ext.webapp.mail_handlers import InboundMailHandler
from google.appengine.ext import db
import WSF
import pst
import unicodedata
class Alert(db.Model):
body = db.TextProperty() # alert content... |
'''
Copyright (c) 2014 Dzakub
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublice... |
from functools import lru_cache
from operator import itemgetter
from enum import Enum
from hashlib import md5
import os
from typing import TYPE_CHECKING, Union
if TYPE_CHECKING:
from mabed.corpus import Corpus
from mabed.mabed import MABED
import json
import pickle
import marshal
import gc
import time
from d... |
#!/usr/bin/env python3
from dataclasses import dataclass
import struct
import xlsxwriter
from pokemon_data import Move, Type
def mem_to_z64(addr):
# Offset found by guess and check may vary between roms
return addr - 0x3000
class CONSTANTS:
class RENTAL_OFFSETS:
# Source: https://datacrystal.r... |
import ujson as json
import sys
import gzip
#import seolib as seo
from collections import defaultdict
import argparse
import os
import matplotlib.pyplot as plt
import numpy as np
import urllib.request, re
import time
# a function to return a domain's rank
# alexaMap dict for caching
alexaMap = {}
def obtainAlexa(url):
... |
"""
Manages a hub for easier access in UCSC genome browser
"""
import os
from config import PUBLISH_URL_PATH_HUB, PUBLISH_DIR, TRACK_DESCRIPTION_TEMPALTE
__author__ = 'eranroz'
def add_track(track_name, url_name, short_label, long_label, description_html=None, genome="hg19"):
"""
Adds description for the new... |
"""
3D Point Cloud Visualization
Original Author: https://github.com/argoai/argoverse-api
Modified by <NAME>
Date October 2019
"""
import os
import numpy as np
import argparse
import matplotlib
import matplotlib.pyplot as plt
from PIL import Image
from mpl_toolkits.mplot3d import Axes3D
from mayavi import mlab
from t... |
import os.path
import os
import sys
import math
import argparse
import time
import random
from collections import OrderedDict
import torch
import options.options as option
from utils import util
from data import create_dataloader, create_dataset
from models import create_model
from utils.logger import Logger, PrintLo... |
import pandas as pd
import numpy as np
import py_entitymatching as em
from .magellan_modified_feature_generation import get_features
#Given a CANDIDATE SET and the list of ACTUAL duplicates (duplicates_df),
#this function adds the 1/0 labels (column name = GOLD) to the candset dataframe
def add_labels_to_candset(dupl... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Time : 2022/1/8 8:01 下午
# @Author: zhoumengjie
# @File : BondBuilder.py
class BondPage:
def __init__(self):
# 申购评测
self.apply_bonds = []
# 证监会核准/同意注册
self.next_bonds = []
# 已申购完，即将上市的
self.ipo_bonds = []
# 隔日... |
import os
import numpy as np
import nilearn as nl
import nilearn.plotting
from math import floor
import numpy as np
import torch
import torch.utils.data as data
from torch import Tensor
from typing import Optional
def load_scenes(path: str) -> list:
with open(path, "r") as f:
result = []
for line ... |
import argparse
from pathlib import Path
import os
import sys
import importlib
import logging
from p4z3 import Z3Reg, P4Package, z3
import p4z3.util as util
sys.setrecursionlimit(15000)
FILE_DIR = os.path.dirname(os.path.abspath(__file__))
log = logging.getLogger(__name__)
# We maintain a list of passes that causes... |
#!/usr/bin/env python3
"""
Solves day 14 tasks of AoC 2020.
https://adventofcode.com/2020/day/14
"""
import argparse
import gzip
from os.path import dirname, realpath
from io import StringIO
from typing import List, Tuple, Set, Dict, IO, Iterator, cast
from pathlib import Path
from dataclasses import dataclass
from r... |
import re
from pathlib import Path
import torch
import pandas as pd
import numpy as np
import torch
from torch.utils.data import Dataset, DataLoader
import sklearn.preprocessing
from sklearn.preprocessing import StandardScaler
from sklearn.feature_extraction.text import CountVectorizer
from nltk.corpus import stopword... |
from pathlib import PurePath
from typing import Callable
import torch
import torch.nn as nn
from torch.utils.data import DataLoader
from labml import lab, experiment, monit, logger, tracker
from labml.configs import option
from labml.logger import Text
from labml_helpers.datasets.text import TextDataset, SequentialDa... |
from datetime import datetime, timedelta, time
from flask import current_app
from app.extensions import db
from app.data_analysis.models import DailyOEE
from app.default.models import Activity, ActivityCode, ScheduledActivity, MachineGroup
from app.default.db_helpers import get_machine_activities, get_user_activities... |
import os
import json
from decouple import config, Csv
from django.shortcuts import render, redirect, get_object_or_404
from django.conf import settings
from django.templatetags.static import static
from django.http import HttpResponse, Http404, JsonResponse, HttpResponseRedirect
from django.core.exceptions import Ob... |
#! /usr/bin/env python3
import json
from argparse import ArgumentParser
import random
# python noc_hetero_vc_gen.py -f test.json -m json
VC_COUNT = 'vc_count'
BUFFER_DEPTH = 'buffer_depth'
NOC_X = 'noc_x'
NOC_Y = 'noc_y'
NUM_ROUTERS = 'num_routers'
AVAILABLE_PORTS = 'available_ports'
MODE_GEN_MAP = 'json'
MODE_GEN_... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Code accompanying the manuscript:
"Reinterpreting the relationship between number of species and
number of links connects community structure and stability"
-------
v1.0.0 (First release)
-------
For any question or comment, please contact:
<NAME>(1), <EMAIL>
(1)... |
import json
import re
import ast
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split, GridSearchCV, StratifiedKFold, cross_val_score
from sklearn.metrics import accuracy_score, precision_score, recall_score, f1_score, log_los... |
"""
Thanks to <NAME>
"""
from __future__ import division, print_function
import sys
import math
import numba
from numba import jit, autojit, size_t
import numpy as np
import numpy.testing as npt
try:
from skimage import img_as_float
except ImportError as e:
print("skimage not available, skipping")
sys.exi... |
# pylint: skip-file
'''variants.py: A module to normalize font variants.'''
import re
import sys
from collections import namedtuple
from enum import Enum
Data = namedtuple('Data', 'name, id, css, hidden')
class FONT_WEIGHT(Enum):
THIN = Data(name='Thin', id='100', css='100', hidden=False)
EXTRALIG... |
######################################################################
######################################################################
# Copyright <NAME>, Cambridge Dialogue Systems Group, 2017 #
######################################################################
#############################################... |
# -*- coding: utf-8 -*-
"""
Pharmacopedia.Py v1.0
Pharmacy Counting Project
<NAME>
DESCRIPTION
Analyzes and organizes medical pharmacy data. Using data from the Centers for
Medicare & Medicaid Services, this script calculates: (1) total number of
prescribers and (2) total prescriber expenditure for all listed drugs.... |
#!/usr/bin/env python3
#
# Wrappers meant for cores used in non-LiteX contexts
#
# Copyright (C) 2021 <NAME> <<EMAIL>>
# SPDX-License-Identifier: CERN-OHL-P-2.0
#
import importlib
import os
import pkg_resources
import tempfile
from migen import *
from migen.genlib.cdc import MultiReg, PulseSynchronizer
from migen.g... |
# Copyright (c) 2021 The Trustees of the University of Pennsylvania
#
# 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, co... |
import collections
import numbers
import torch
import torch.nn.functional as F
from types import SimpleNamespace as nm
from .bioes import entities_jie_bioes
from .viterbi import decode_bioes_logits, INFTY
EPSILON = 1.e-8
def token_and_record_accuracy(logits, labels):
'''Computes accuracy metric from logits and ... |
# Copyright 2019 Nokia
#
# 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, softwa... |
#!/usr/bin/env python3
# Convert HTML returned by http://tagger.jensenlab.org/ExtractPopup
# into brat-flavoured standoff (http://brat.nlplab.org/standoff.html).
import sys
import os
from collections import defaultdict
from html.parser import HTMLParser
from logging import warn, error
EXTRACT_DATA_CONTENT_CLASS = ... |
##############################################################
#
# ccm_unred: Deredden a flux vector using the CCM 1989 parameterization
#
# Cardelli_coeff: Calculate a,b and a+b/Rv for the Cardelli dust
# law given a wavelength lam in angstroms
#
# calc_Av_from_Balmer_decrement: derive extinction using Balmer decr... |
#!/usr/bin/python
# Copyright (c) 2020, 2022 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... |
#!/usr/bin/env python3
"""
Module to take in .mat MatLab files and generate spectrogram images via Short Time Fourier Transform
---------- ------------------------------ --------------------
| Data.mat | -> | Short-Time Fourier Transform | -> | Spectrogram Images |
... |
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 11 17:26:56 2019
@author: autol
"""
import re
import pandas as pd
#%%
import dcm_util as ut
from dcm_globalvar import *
locals().update(var.to_dict()) # 设置读取的全局变量
#%%
def df_transform_stream(df):
df_x=pd.DataFrame();
df = ut.titles_trans_columns(df,titles_cn);... |
import discord
import asyncio
import yaml
import pandas as pd
import urllib.request, urllib.error
from xml.sax.saxutils import unescape
from bs4 import BeautifulSoup
client = discord.Client()
@client.event
async def on_ready():
print('Logged in as' + client.user.name)
print(client.user.id)
print('------')... |
""" This module contains auxiliary functions to plot some information on the
RESTUD economy.
"""
# standard library
import matplotlib.pylab as plt
import numpy as np
import shutil
import shlex
import os
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.ticker import FuncFormatter
from matplotlib import cm
# Ev... |
# -*- coding: utf-8 -*-
from functools import partial
from datetime import datetime
from kivy.uix.floatlayout import FloatLayout
from kivy.uix.screenmanager import Screen
from kivy.uix.dropdown import DropDown
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.relativelayout import RelativeLayout
from kivy.uix.l... |
# 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 argparse
import numpy as np
from pyimzml.ImzMLWriter import ImzMLWriter
from pyImagingMSpec.inMemoryIMS import inMemoryIMS
from scipy.optimize import least_squares
from pyimzml.ImzMLParser import ImzMLParser
from pyimzml.ImzMLWriter import ImzMLWriter
from scipy.signal import medfilt2d
import logging
def fit_fu... |
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