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# coding=utf-8
from __future__ import print_function
import re
import cPickle
import numpy as np
import pandas as pd
from sklearn import linear_model, svm
from sklearn import preprocessing
from sklearn.ensemble import RandomForestRegressor
def add_rul(df):
# Remaining useful life
df['RUL'] = df.groupby('id'... |
import matplotlib
matplotlib.use("Agg")
import warnings
warnings.filterwarnings("ignore", module="matplotlib")
from IPython.display import display
from ipywidgets import widgets
import signal
import matplotlib.pyplot as plt
import time
import thread
import tensorboard
import numpy as np
from tensorboard import Tenso... |
# Copyright (c) 2012 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import csv
import filters
import jinja2
import logging
import os
import random
import urllib
import webapp2
from google.appengine.api import users
fr... |
# -*- coding: utf-8 -*-
"""A simple application to read joystick inputs and send them over UART
Modified from: http://www.pygame.org/docs/ref/joystick.html
Example:
$ python joystick_uart.py
Attributes:
Todo:
"""
import pygame
import serial
import argparse
import debug_messages as dm
# Define some colo... |
import random
from collections import deque
from typing import Deque, Any, Dict, List, Optional, Tuple
import numpy as np
import torch
class ReplayBuffer:
"""Fixed-size buffer to store experience tuples."""
def __init__(
self,
action_size: int,
buffer_size: int,
... |
import os
import math
import xlwt
def serpentineForward(wb):
ws = wb.add_sheet('SerpentineForward')
lag = .5712 # Phase lag between segments
frequency = 1 # Oscillation frequency of segments.
amplitude = 40 # Amplitude of the serpentine motion of the snake
rightOffset = 5 # Right turn offset
l... |
"""
Convert input to Detectron2's default dictionary format.
"""
import glob
import os
from typing import List
import xml.etree.ElementTree as ET
from detectron2.structures import BoxMode
from pycocotools.coco import COCO
from .data_error import IncompatibleDatasetsError
def get_class_names_pvoc(ann_dirs: List[str])... |
from tompkins.ilp import schedule as schedule_tompkins
from tompkins.ilp import jobs_when_where
from tompkins.util import (reverse_dict, dictify, intersection, merge, unique,
groupby)
from collections import defaultdict
def precedes_to_dag(jobs, precedes):
return {a: [b for b in jobs if precedes(a, b)] fo... |
import numpy as np
from ml.utils import *
import warnings
class Layer(object):
def __init__(self, optimizer='Momentum SGD', lr=0.01, momentum_alpha=0.9, beta1=0.9, beta2=0.999, weight_decay_rate=5e-4):
"""
Layerオブジェクトの実装
このあとの各層に共通する機能を実装する
"""
self.params = {}
self.... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
import random
import math
import torch
import torch.nn.functional as F
def compute_masked_loss(ar... |
import os
from collections import defaultdict
import random
import numpy as np
from skimage.morphology import erosion, disk
import cv2
import torch
import torch.nn.functional as F
from .core import Callback
# @TODO: refactor
class InferCallback(Callback):
def __init__(self, out_dir=None, out_prefix=None):
... |
import os
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from typing import Tuple, List
from .tools import edit_fpath
from .template import Processor
from .normalization import CountNormalization
class PlotHeatmaps(Processor):
DSTDIR_NAME = 'heatmap'
tsvs: List[... |
# -*- coding: utf-8 -*-
# Copyright (c) 2015-2019, Exa Analytics Development Team
# Distributed under the terms of the Apache License 2.0
"""
Periodic Table of Elements and Isotopes
########################################
This module provides a database of the atomic elements and their isotopes.
Visualization paramete... |
"""Object-Oriented Programming: Twitter example
=== CSC148 Fall 2020 ===
Department of Mathematical and Computational Sciences,
University of Toronto Mississauga
=== Module description ===
This module contains two sample classes Tweet and User that we developed
as a way to introduce the major concepts of object-orien... |
# -*- coding: utf-8 -*-
import json
from django.shortcuts import render
from django.http import HttpResponseRedirect, HttpResponse, JsonResponse
from blueking.component.client import ComponentClient
from blueapps.account.models import User
from blueking.component.shortcuts import get_client_by_user
import base64
import... |
# <NAME>
# mqt0029
# 1001540029
# 2019-05-13
#---------#---------#---------#---------#---------#--------#
import sys
#---------#---------#---------#---------#---------#--------#
class _Unique() :
c_nameIndex = 0
def name( prefix = 'g' ) :
_Unique.c_nameIndex += 1
name = f'{prefix}{_Unique.c_nameIndex}'
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Python version: 3.6
import os
import time
import numpy as np
import torch
from torchvision import datasets, transforms
def convert_coco_mask_to_top_class(dataset):
# return the numpy array of top class of each img
targets = []
for (_, target) in dataset:
... |
#Pluginname="NQ Vault (Android,FS)"
#Category="Extraction"
#Type=FS
import struct
import os
import tempfile
from Library.java import JavaFunc
from binascii import hexlify, unhexlify
def findnqvault():
#Lets see where the nq vault files are
ctx.gui_setMainLabel("Seeking for NQ Vault database")
result={... |
#!/usr/bin/env python
# Copyright (c) 2015 Mirantis Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
import pygame
from random import randrange
#colors
white = (255, 255, 255)
black = (0, 0, 0)
red = (255, 0, 0)
green = (46,139, 87)
blue = (0, 0, 255)
try:
pygame.init()
except:
print("Não foi possivel inicar com sucesso")
#variables
width = 320
height = 280
size = 10
score = 40
hour = py... |
import numpy as np
import sympy as sp
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
from IPython.display import Math, display
from sympy import lambdify
def genGIF(x, y, figName, xlabel=[], ylabel=[], fram=200, inter=20):
'''
Create and save a plot animation as GIF
... |
# coding: utf-8
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import time
import math
import torch
import argparse
import random
import numpy as np
from vocab import Vocab
from data import Dataset
from model import LanguageModel
def parse_ar... |
from scipy.sparse import csr_matrix
from sklearn.base import TransformerMixin
from scipy.stats import norm
from numpy import ndarray, memmap
from typing import Union
from DocumentFeatureSelection.init_logger import logger
import numpy as np
import joblib
import logging
def bns(X:Union[memmap, csr_matrix],
fea... |
# Copyright (c) 2013 OpenStack Foundation.
# 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... |
import marius as m
import torch
from omegaconf import OmegaConf
from pathlib import Path
from marius.tools.preprocess.dataset import LinkPredictionDataset
from marius.tools.preprocess.utils import download_url, extract_file
from marius.tools.preprocess.converters.torch_converter import TorchEdgeListConverter
from mar... |
from pyramid import httpexceptions
from sqlalchemy.orm import Query
from pyramid_views import utils
from pyramid_views.paginator import Paginator, InvalidPage
from pyramid_views.utils import ImproperlyConfigured, _
from pyramid_views.views.base import ContextMixin, View, TemplateResponseMixin, DbSessionMixin, MacroMix... |
#!/usr/bin/env python3
import socket
import threading
import json
import os
from threading import Event
from time import localtime, strftime
VERSIONSTRING = "netlog server v0.1 alpha"
connDict = { } # This dictionary contains all threaded user connections
envDict = { } # This dictionary contains all log environments
... |
from keras.layers import Input, Conv2D, Activation, BatchNormalization, GaussianNoise, add, UpSampling2D, Dropout, Concatenate, Merge
from keras.layers.merge import concatenate
from keras.models import Model
from keras.regularizers import l2
import tensorflow as tf
from keras.engine.topology import Layer
from keras.eng... |
from datetime import timedelta
from dateutil.parser import isoparse
from django.conf import settings
from django.http import Http404
from rest_framework import viewsets
from rest_framework.response import Response
from accelerator.models import MentorProgramOfficeHour
from ...minimal_email_handler import MinimalEmail... |
"""
Command line tool to run luigi tasks for project ≋ labe
List tasks:
$ labe.pyz -l
CombinedUpdate
IdMappingDatabase
IdMappingTable
OpenCitationsDatabase
OpenCitationsDownload
OpenCitationsSingleFile
SolrDatabase
SolrFetchDocs
Run task:
$ labe.pyz -r... |
#! /usr/bin/python
# coding:utf-8
import OpenSSL
import base64
import zlib
import json
import time
ecdsa_pri_key = """
-----<KEY>
"""
ecdsa_pub_key = """
-----BEGIN PUBLIC KEY-----
<KEY>
-----END PUBLIC KEY-----
"""
def list_all_curves():
list = OpenSSL.crypto.get_elliptic_curves()
for... |
from pathlib import PurePath
import ueimporter.path_util as path_util
class ChildMock:
def __init__(self, name):
self._name = name
@property
def name(self):
return self._name
class PathMock:
@classmethod
def create(cls, *pathsegments):
leaf = PathMock(*pathsegments)
... |
from django.shortcuts import render, get_list_or_404, redirect, get_object_or_404
from django.http.response import HttpResponseRedirect
from django.urls import reverse
from ecommerce.models import Categorias, Productos
from django.db.models import Q
from .formularios import FormProducto, FormCarrito
from django.contrib... |
# import scipy.io as sio
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import sys
python3 = sys.version_info > (3, 0)
# Alias for len
length = len
def mat_var(data, struc, field):
"""Get the 'field' from the 'struc' in the 'data' imported from Matlab"""
return data[struc][field].ite... |
from flask import Flask, request, Response
import os
import requests
import logging
import sys
import json
app = Flask(__name__)
logger = None
format_string = '%(asctime)s - %(name)s - %(levelname)s - %(message)s'
logger = logging.getLogger('catalystone-service')
# Log to stdout
stdout_handler = logging.StreamHandler... |
import socket
import numpy as np
import pandas as pd
import dash
import dash_core_components as dcc
import dash_html_components as html
import dash_table
import plotly.graph_objs as go
import plotly.plotly as py
from dash.dependencies import Input, Output
from plotly import tools
from utils import get_infos
app = da... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2021 <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 License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unl... |
#!/usr/bin/env python
"""A simple mod of SkiFree"""
# Source code taken from <NAME> at
# http://www.manning-source.com/books/sande/All_Files_By_Chapter/hw_ch10_code/skiing_game.py
# Released under the MIT license http://www.opensource.org/licenses/mit-license.php
import pygame, sys, os, random, urllib, urllib2
skier... |
import random
from parsec.tree import Node, Tree
_CONSTRAINTS_FILE = '/constraints.yml'
_PARAMETERS_FILE = '/parameters.yml'
# Python 2.7 compatibility
try:
input = raw_input
except NameError:
pass
def run(input):
# Extract input values (passed this way for multiprocessing)
processor = input[0]
... |
import numpy as np
import tensorflow as tf
from tensorflow.python.framework import ops
import matplotlib.pyplot as plt
import contrib.coursera as c
import utils as utils
def initialize_params( layers_dim):
L = len(layers_dim)
params = {}
for l in range(1,L):
params["W" + str(l)] = tf.get_variable(... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Copyright 2017 Google 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 requir... |
import time
import logging
from typing import Tuple
import requests
from retrying import retry
from goodguy.feishu.access_token import get_tenant_access_token
from goodguy.service.crawl import get_recent_contest
from goodguy.util.catch_exception import catch_exception
from goodguy.util.config import GLOBAL_CONFIG
fro... |
#!/usr/bin/env python
# Author:
# <NAME> (<EMAIL>)
import json
import os
from random import shuffle, randint
import sys
import argparse
as_ips_file = "./config/as_ips.cfg"
asn_2_id_file = "./config/asn_2_id.json"
out_fname = "./config/asn_2_ip.json"
def getMatchHash(part, peer, count):
if "AS" in part: part = ... |
"""
File needs to be run with python -m scripts.run-preprocessing {config_file} {language} {partition} from the command line.
{config_file} is a .yaml file with configurations for stage1 preprocessing.
The script is intended to be run thrice for each {language}: 1. partition="train" 2./3. partition="valid"/"test"
"""
... |
import math
from skimage import io, color
import numpy as np
from tqdm import trange
class Cluster(object):
cluster_index = 1
def __init__(self, h, w, l=0, a=0, b=0):
self.update(h, w, l, a, b)
self.pixels = []
self.no = self.cluster_index
Cluster.cluster_index += 1
def u... |
#!/usr/bin/env python3
import sys
import subprocess
import argparse
import time
from collections import OrderedDict
from threading import Thread
import logging
logging.disable(logging.WARN)
from gridvm.simplescript.runtime.runtime import Runtime, LocalRequest
# YO DWAG, WE HEARD YOU LIKE RUNTIME... |
from typing import Dict, Optional, List
from enum import Enum
# AUTO GENERATED
class CustomType(str, Enum):
group = 'group'
direct = 'direct'
class MemberState(str, Enum):
joined = 'joined'
invited = 'invited'
class BannedUser:
def __init__(self, in_data: dict):
self.description: str... |
#!/usr/bin/env python
# coding: utf-8
class RobotPosture:
"""
Class describing a robot posture
"""
STAND = "Stand"
STAND_INIT = "StandInit"
STAND_ZERO = "StandZero"
CROUCH = "Crouch"
def __init__(self, posture_name):
"""
Constructor
Parameters:
po... |
#
import tensorflow as tf
import numpy as np
import math
"""
From
"""
def Quaternion2Mat(quat):
"""
:param quat: 4
:return: 3x3
"""
quat = tf.squeeze(quat)
w = quat[0]
x = quat[1]
y = quat[2]
z = quat[3]
val00 = 1 - 2 * y * y - 2 * z * z
val01 = 2 * x * y - 2 * z * w
... |
#!/usr/bin/env python
"""score.py: MNEFUN stimulus event scoring functions."""
import datetime
import os
from os import path as op
import re
import glob
import json
import numpy as np
from pytz import timezone
import mne
from mne.epochs import combine_event_ids
from mnefun import extract_expyfun_events, read_params... |
#!/usr/bin/env python3
"""
Copyright 2019 Internet Archive
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 agre... |
#!/usr/bin/env python
from __future__ import print_function
import argparse
'''
This script allows transfer of DNS from an upstream DNS server via AXFR as
defined in RFC 5936 and submits entries to Route 53 via boto3. It uses the
UPSERT action to either create a record or update the existing one. You can
use it to do ... |
#!/usr/bin/env fontforge
#
# Copyright (c) 2016, <NAME> (https://sungsit.com | gibbozer [at] gmail [dot] com).
#
# This Font Software is licensed under the SIL Open Font License, Version 1.1 (OFL).
# You should have received a copy of the OFL License along with this file.
# If not, see http://scripts.sil.org/OFL
#
# T... |
"""
Build using pyinstaller with the following command
pyinstaller --hidden-import pystray._win32 --onefile HApyAudio.py
"""
import PySimpleGUI as sg
from psgtray import SystemTray
import vlc
import time
import os
import json
import threading
import paho.mqtt.client as mqtt
from gtts import gTTS
MACHINE_NAME = os.... |
import abc
import itertools
from nmtwizard import utils
from nmtwizard.preprocess import tu
class Loader(abc.ABC):
"""Base class for creating batches of TUs."""
def __init__(self, batch_size):
self._batch_size = batch_size
@property
def batch_size(self):
return self._batch_size
... |
import torch
import torch.nn as nn
import torchvision.transforms as T
import torchvision.utils as vutils
from PIL import Image
from torch.utils.data import DataLoader
from torch.utils.tensorboard import SummaryWriter
from tqdm import tqdm
from dataset import LoLDataset
from model import MIRNet
from utils impo... |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this file,
# You can obtain one at http://mozilla.org/MPL/2.0/.
#
# Copyright (c) 2014-2015, <NAME> <EMAIL>
import logging
logger = logging.getLogger(__name__)
from os.path import bas... |
# Day4 - 2021 Advent of code
# source: https://adventofcode.com/2021/day/4
import os
import numpy as np
def clear_console():
os.system('clear')
print('< .... AoC 2021 Day 4, part 1 .... >')
print()
return
def draw_number(numbers_drawn, pos):
numberX = int(numbers_drawn[pos])
ret... |
import numpy as np
import torch
import pandas as pd
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import Dataset, DataLoader
from torch.utils.tensorboard import SummaryWriter
class IKDataSet(Dataset):
def __init__(self, file, transform=None):
# self.ik_frame = pd.read_csv(file... |
# -*- coding: utf-8 -*
# ALGG 14-01-2017 Creación de módulo de asignaciones de puestos a trabajadores.
class Tarea(object):
'''Clase Tarea'''
def __init__(self, conn):
'''Constructor'''
# Conexión.
self.__conn = conn
def get_tarea(self, equipo_id = None, anno ... |
"""
Reference: https://github.com/adsodemelk/PRST
GRIDTOOLS
Functions in MRST:
checkGrid - Undocumented utility function
compareGrids - Determine if two grid structures are the same.
connectedCells - Compute connected components of grid cell subsets.
findEnclosingCell - Find cell... |
import json
from datasets import load_dataset, load_metric
from nltk import word_tokenize
from tqdm import tqdm
from tokenizers.processors import TemplateProcessing
from tokenizers import ByteLevelBPETokenizer
import torch
import os
from dataclasses import dataclass
@dataclass
class TransformersConfig:
tgt_vocab... |
# Copyright 2015 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 ag... |
import time, inputsim, autopy
lastsprint = time.time()
def removeNonAscii(s): return "".join(i for i in s if ord(i)<128)
def now_playing():
try:
f = open("np.txt", 'r')
npp = removeNonAscii(f.read())
except:
return "???? shit broke d00d"
f.close()
return None if npp=="0" else npp
#M... |
#!/usr/bin/python3
import argparse
import math
from statistics import median
import sys
from utils import open_history_file, process_rows
def find_min_time(gmres_times, ilu_times):
min_time = math.inf
min_ilu_time = math.inf
min_loc = None
for loc, times in gmres_times.items():
med_time = medi... |
#!/usr/bin/env python
# This work was created by participants in the DataONE project, and is
# jointly copyrighted by participating institutions in DataONE. For
# more information on DataONE, see our web site at http://dataone.org.
#
# Copyright 2009-2019 DataONE
#
# Licensed under the Apache License, Version 2.0 (t... |
import math
import os
import subprocess
from csv import DictWriter
from glob import glob
from pathlib import Path
from shutil import move
from uuid import uuid4
from symbench_athens_client.exceptions import FDMFailedException
from symbench_athens_client.models.designs import QuadCopter
from symbench_athens_client.mode... |
import math
from typing import Optional
import torch
from torch import nn, Tensor
from torch.nn import functional as F
import torch.distributed as distributed
from models.vqvae.vqvae import Quantize
from trainer.networks import register_model
from utils.util import checkpoint, opt_get
class PositionalEncoding(nn.M... |
import sys, os
from scapy.all import *
import simpy
import array
from hwsim_utils import HW_sim_object, BRAM, Tuser, Fifo
SEG_SIZE = 64 # bytes of packet data
MAX_SEGMENTS = 64
MAX_PKTS = 64
class Pkt_segment(object):
def __init__(self, tdata, next_seg=None):
# SEG_SIZE pkt segment
self.tdata = t... |
import os
import platform
import subprocess
import multiprocessing
import shutil
from pathlib import Path
from typing import Tuple
import requests
import uvicorn
from triggercmd_cli import __version__
from triggercmd_cli.command.webview import PythonWebView
from triggercmd_cli import settings
from triggercmd_cli.util... |
import argparse
import importlib
import json
import logging
import os
import sys
from typing import List, Optional, Tuple
import flask
from flask.testing import FlaskClient
# Allow import from current working directory modules
sys.path.append(os.getcwd())
# Constants
CLI_VERSION = "0.0.1"
HTTP_METHODS = ["GET", "P... |
from django.conf import settings
from django.contrib.admin.widgets import AdminTextInputWidget, AdminTextareaWidget
from django.core.exceptions import ValidationError, ImproperlyConfigured
from django.core.urlresolvers import NoReverseMatch
from django.utils.html import conditional_escape
from django.utils.safestring i... |
import numpy as np
import cv2 as cv
import os
#### Hyper Parameters
EPS = 1e-5
NUM_PRETRAIN = 128
LR = 0.125
#####################
## Data augmention during training , here just use 'Rotation'
def random_wrap(img):
h, w = img.shape[:2]
angle = (np.random.rand() - 0.5) * 60
transform_ma... |
import logging
import serial
import threading
import time
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
logger.addHandler(logging.StreamHandler())
class Colors:
OFF = 0
RED = 1
GREEN = 2
BLUE = 4
class Panel(object):
SWITCHES = {}
BINARY_INDICATORS = {}
COLORED_LED... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jul 2 07:20:08 2019
This code is used for testing the noise2self code on our medical images.
@author: yxw
"""
from __future__ import print_function, division
import os
import torch
import pandas as pd
from skimage import io, transform
import numpy as n... |
import numpy as np
from skimage.filters import sobel
def slope_from_dem(dem, res, degrees=False):
"""Calculates slope from a Digital Elevation Model using a Sobel filter.
Parameters
----------
dem : array
a Digital Elevation Model
res : numeric
spatial resolution of the Digital Elevat... |
import time
import torch
import torch.backends.cudnn as cudnn
from numpy import random
from models.experimental import attempt_load
from utils.datasets import LoadStreams, LoadImages
from utils.general import check_img_size, check_requirements, check_imshow, non_max_suppression, apply_classifier, \
scale_coords, x... |
# Copyright (c) 2011 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.
"""A buildbot command for running and interpreting webkit layout tests."""
import re
from buildbot.process import buildstep
from buildbot.steps import ... |
import json
import re
from kqml import KQMLString
from .kqml_list import KQMLList
from .kqml_token import KQMLToken
from .kqml_exceptions import KQMLException
class CLJsonConverter(object):
def __init__(self, token_bools=False):
self.token_bools = token_bools
def cl_from_json(self, json_obj):
... |
# ------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License (MIT). See LICENSE in the repo root for license information.
# -------------------------------------------------------------------... |
# Copyright 2021 The Armada 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 applicable law or agreed to in w... |
""" This file was created by <NAME> in August and September of 2021
with the purpose of evaluating the sentiments associated with various words found
in movie reviews."""
def stripFile():
"""Purpose: to turn the file input into list of words that contain no
newline characters
Parameters: none
... |
import json
import requests
import spacy
import nltk
from collections import Counter
import sys
#####################
# Given user-input subreddits, this script grabs all
# submissions in them that are deemed to be "recommendation/advice"
# posts, then grabs all the comments associated with them.
# This data is
# Th... |
# Copyright (c) 2019, <NAME>. All rights reserved.
#
# This work is licensed under the Creative Commons Attribution-NonCommercial
# 4.0 International License. To view a copy of this license, visit
# http://creativecommons.org/licenses/by-nc/4.0/ or send a letter to
# Creative Commons, PO Box 1866, Mountain View, CA 940... |
from app import db
# These are the association tables needed for the many-many model relationships
character_event = db.Table('character_event', db.Model.metadata,
db.Column('character_id', db.Integer, db.ForeignKey('character.id')),
db.Column('event_id', db.Intege... |
# Copyright (c) 2018, MD2K Center of Excellence
# - <NAME> <<EMAIL>>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, th... |
from copy import deepcopy
import numpy as np
from scipy.linalg import norm
from sklearn.base import BaseEstimator
from sklearn.decomposition import PCA
from sklearn.linear_model import Ridge
class HHCARTNode:
def __init__(self, depth, labels, **kwargs):
self.depth = depth
self.labels = labels
... |
#!/usr/bin/env python
from genericpath import exists
import numpy as np
import glob
from distort_calibration import *
from cartesian import *
from registration_3d import *
from optical_tracking import *
from em_tracking import *
from eval import *
from pathlib import Path
import argparse
import csv
def parse_args() -... |
"""
Multilabel classification example on HICO-DET
The code employs Faster R-CNN (ResNet-50-FPN)
pretrained on MS COCO as a feature extractor.
Features (fc7) for the union of ground truth
box pairs are computed and fed into a simple
MLP to compute class logits for the 600 interactions.
<NAME> <<EMAIL>>
The Australian... |
##############################################################################
#
# Original Copyright 2019 Amazon.com Inc
# Original: https://github.com/awslabs/amazon-sagemaker-examples/tree/master/advanced_functionality/scikit_bring_your_own/container/decision_trees
# Modifications to this file Copyright 2019 Leap Be... |
import pickle
import pandas as pd
import random
random.seed(1111)
RAW_DATA_FILE = './data/alipay_data/ijcai2016_taobao.csv'
DATASET_PKL = './data/alipay_data/dataset.pkl'
def to_df(file_name=RAW_DATA_FILE):
df = pd.read_csv(file_name)
df.columns = ['uid', 'sid', 'iid', 'cid', 'btype', 'time'] # use_ID,sel_I... |
from cached_property import cached_property
import pandas as pd
from typing import Union, List, Dict, Tuple, Optional
import io
from .uniformat import UNIBaseParser
from .misc import open_filename, sort_mixed_list, date_range
def get_parser(path_or_buff: Union[str, io.StringIO, io.FileIO]) -> 'TwoWireParser':
pr... |
import numpy as np
import tensorflow as tf
def load_dataset():
# load the dataset
(X_train, y_train), (X_test, y_test) = tf.keras.datasets.mnist.load_data()
# reshape the dataset to have a single channel
X_train = np.expand_dims(X_train, axis=3)
X_test = np.expand_dims(X_test, axis=... |
"""Metadata for kaggle classification datasets."""
import itertools
from collections import OrderedDict
from .kaggle_base import KaggleCompetition
from ..data_types import FeatureType, TargetType
from .. import scorers
from .feature_maps import (
kaggle_costa_rican_household_poverty_prediction,
kaggle_home... |
def rotate(el,val): eval(rotors[el])[0]=eval(rotors[el])[0][val:]+eval(rotors[el])[0][:val]; pos[el]+=val #Rotar spin calculation
def convert(text,converted=""):
for ch in text:
if ch.isalpha():
if chr(pos[-2]+65) in eval(rotors[-2])[1:]: rotate(-3,1),rotate(-2,1) #Medium Rotor Notch Triggerred (Double M... |
"""
Halmos' handshake problem in cpmpy.
Problem formulation from Alloy (examples/puzzles/handshake)
'''
Alloy model of the Halmos handshake problem
Hilary and Jocelyn are married. They invite four couples who are friends for dinner. When
they arrive, they shake hands with each other. Nobody shakes hands with him or h... |
class MatchableString(str):
pass
def match_pattern(xs, ps):
if callable(ps):
return ps(xs)
if isinstance(ps, dict):
if not isinstance(xs, dict):
return None
ks = set(xs.keys())
if ks != set(ps.keys()):
return None
return match_pattern([xs.get... |
from django.utils import timezone
import factory
from factory.django import DjangoModelFactory
from factory import SubFactory, Faker
from paprika_sync.core.models import PaprikaAccount, Recipe, Category
from paprika_sync.users.tests.factories import UserFactory
class PaprikaAccountFactory(DjangoModelFactory):
u... |
import argparse
import logging
import json
import math
import os
from rapidstream.BE.Utilities import getAnchorTimingReportScript
from rapidstream.BE.GenAnchorConstraints import getSlotInitPlacementPblock
from rapidstream.BE.Utilities import loggingSetup
loggingSetup()
def getPlacementScript(slot_name):
script = ... |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright 2016-2017 by I3py Authors, see AUTHORS for more details.
#
# Distributed under the terms of the BSD license.
#
# The full license is in the file LICENCE, distributed with this software.
# ----------------... |
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