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import py
from rpython.jit.metainterp.test import support
from rpython.rlib.rsre.test.test_match import get_code
from rpython.rlib.rsre import rsre_core
from rpython.rtyper.lltypesystem import lltype
from rpython.rtyper.annlowlevel import llstr, hlstr
def entrypoint1(r, string, repeat):
r = array2list(r)
strin... |
import json
import logging
import pprint
from typing import Any, Dict, Tuple
import flask
from werkzeug.exceptions import BadRequest
import placebo
import util
log = logging.getLogger('placebo.app')
app = flask.Flask(__name__)
placebo_app = placebo.Placebo()
@app.route('/unlock', methods=['POST'])
def unlock() -> ... |
import re
from unittest.mock import Mock
import pytest
from django import forms
from geniza.corpus.forms import (
CheckboxSelectWithCount,
DocumentChoiceField,
DocumentMergeForm,
DocumentSearchForm,
FacetChoiceField,
RadioSelectWithDisabled,
)
from geniza.corpus.models import Document
class ... |
import os
import sys
from .ansi import sformat
from .prettier import PrettyFormat
from .timer import Timer
from .utils import env_bool, env_true, is_literal, use_highlight
__all__ = 'Debug', 'debug'
MYPY = False
if MYPY:
from types import FrameType
from typing import Any, Generator, List, Optional
pformat = ... |
import os
import shutil
import json
import time
import pandas as pd
import Augmentor
import tuner
from tuner import utils
from tuner import load_data
from tuner import augment_data
from tuner import use_hyperas
from tuner import net
class ClassificationDataset(object):
def __init__(self, classed_dataset_dir):... |
# Copyright (c) 2022 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... |
# ------------------------------------------------------------------
#
# Series of tests to check validity of ABM input
#
# - Does not check for upper numeric limits since they are rather
# high
#
# ------------------------------------------------------------------
import utils as ut
def load_data_for_checking(fna... |
import random
import pytest
from eth_utils import to_canonical_address
from networkx import Graph
from raiden.storage.serialize import JSONSerializer
from raiden.tests.utils import factories
from raiden.transfer import state, state_change
from raiden.transfer.merkle_tree import compute_layers
from raiden.transfer.sta... |
import logging
import sys
import reconcile.jenkins_plugins as jenkins_base
import reconcile.openshift_base as ob
import reconcile.queries as queries
from reconcile import mr_client_gateway
from reconcile.slack_base import init_slack
from reconcile.status import ExitCodes
from reconcile.utils.semver_helper import mak... |
from __future__ import unicode_literals
from .common import InfoExtractor
from ..compat import compat_str
from ..utils import (
clean_html,
ExtractorError,
int_or_none,
str_or_none,
try_get,
url_or_none,
)
class StitcherBaseIE(InfoExtractor):
_VALID_URL_BASE = r'https?://(?:www\.)?stitche... |
#!/usr/bin/env python
# encoding: utf-8
#
# Copyright (c) 2015 <NAME> <<EMAIL>>
#
# MIT Licence. See http://opensource.org/licenses/MIT
#
# Created on 2015-07-27
#
"""
Package containing password generators.
This module contains the machinery for loading generators and
the base class for generators.
The default gene... |
"""Specific tasks."""
import copy
import json
import logging
import os
import shutil
import tempfile
import warnings
from collections import defaultdict
from inspect import cleandoc
from pathlib import Path
import sphinx.cmd.build # pylint: disable=import-error
import sphinx.locale # pylint: disable=import-error
fro... |
import copy
import dataclasses
import importlib
import inspect
import json
import os
import re
import shutil
from abc import abstractmethod
from dataclasses import dataclass
from dataclasses import field
from hashlib import sha1
from typing import Any
from typing import List
from typing import Optional
from omegaconf ... |
#Author-Autodesk Inc.
#Description-Apply a material to selected bodies.
import adsk.core, adsk.fusion, traceback
commandId = 'ApplyMaterialToSelectionCommand'
commandName = 'ApplyMaterialToSelection'
commandDescription = 'Apply a material to selected bodies or occurrences'
app = None
ui = None
# global set of event... |
import csv
import io
import json
import pickle
import struct
import ujson
from functools import partial
import bson
import cbor
import msgpack
import pandas as pd
import pyarrow as pa
from pyarrow import parquet as pq
from bench_helper import bench_function, baseline_ratio, get_machine_info
from book_pb2 import Book ... |
#!/usr/bin/python3
'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders ... |
# Copyright 2010 New Relic, 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 law or agreed to in writ... |
# -*- coding: utf-8 -*-
"""Distributed Task Queue"""
# :copyright: (c) 2015 <NAME> and individual contributors.
# All rights # reserved.
# :copyright: (c) 2012-2014 GoPivotal, Inc., All rights reserved.
# :copyright: (c) 2009 - 2012 <NAME> and individual contributors,
# All rights reserv... |
import keras
import numpy as np
from keras.datasets import cifar10
from keras.preprocessing.image import ImageDataGenerator
from keras.layers.normalization import BatchNormalization
from keras.layers import Conv2D, Dense, Input, add, Activation, Flatten, AveragePooling2D
from keras.callbacks import LearningRateSc... |
# coding=utf-8
# Copyright 2018 The Google AI Language Team 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 ... |
"""Simple MNIST learner adapted from Hvass-Labs/TensorFlow-Tutorials:
https://github.com/Hvass-Labs/TensorFlow-Tutorials/blob/master/19_Hyper-Parameters.ipynb
Copyright 2019 TensorHub, Inc.
Copyright (c) 2016-2018 by <NAME>
Permission is hereby granted, free of charge, to any person obtaining
a copy of this softwar... |
import time
import joblib
import numpy as np
from sklearn.base import clone
from .base import Explainer
from .parsers import util
class LOO(Explainer):
"""
Leave-one-out influence explainer. Retrains the model
for each train example to get change in loss.
Local-Influence Semantics
- Inf.(x_... |
from django.db import models
from django.db.models import Max
from random import randint, randrange
DEFAULT_LENGTH = 20000
class Subs(models.Model):
'''
Store subtitles information
'''
movie_name = models.CharField(max_length=100)
sub_language_id = models.CharField(max_length=3)
sub_file_nam... |
"""
Newer variant on crusoeparse, with an infusion of monoidal.py.
"""
import re
def parse(x, s):
p = x() if callable(x) else x
if isinstance(p, (str, unicode)): return parse_regex(p, s)
if isinstance(p, list): return parse_rules(p, s)
if callable(p): return p(s)
raise ... |
import sqlite3
from requests import get
import urllib.parse as up
import pandas as pd
class Markit:
def __init__(self):
self.lookup_url = "http://dev.markitondemand.com/Api/v2/Lookup/json?"
self.quote_url = "http://dev.markitondemand.com/Api/v2/Quote/json?"
def company_search(self,st... |
import pdb
import re
import operator
from functools import reduce
from django.contrib.staticfiles.templatetags.staticfiles import static
from django.shortcuts import render, redirect, reverse
from django.db.models import Q, Count, Case, When, Value, IntegerField, Sum
from django.conf import settings
from django.http i... |
'''
python3 run1.py train_policy_with_preferences MovingDotDiscreteNoFrameskip-v0 --n_envs 16 --render_episodes --load_prefs_dir runs/moving-dot_45cb953'''
import logging
import os
from os import path as osp
import sys
import time
from multiprocessing import Process, Queue
import cloudpickle
import easy_tf_log
from ... |
from .hyper import HyperNet
from .cnn import NeuriteUNet, NeuriteEncoder
from .reduction import reductions
from .segmentation import DiceHead
from ..base import Module
from .. import check
import torch
class HyperU(Module):
"""Self-adaptive UNet"""
def __init__(self,
dim,
in... |
from django.db import models
from django.db.models import Q
from django.db.models.signals import post_save
from django.conf import settings
from django.contrib.auth import get_user_model
from django.contrib.auth.models import User
from django.urls import reverse
from django.dispatch import receiver
from sixtyfour.forma... |
#! /usr/bin/env python
"""
Listen to the /imu topic while the rover is not moving.
This will help experimentally determine the variance of each sensor.
"""
from __future__ import print_function
from datetime import datetime
import signal
import sys
import os
import math
import numpy as np
import rospy
import rosnode
... |
# -*- coding : utf-8-*-
import copy
from ..server import Base, Column, String, Text, ForeignKey, relationship, Float, FLOAT, DECIMAL
from ..alignment.align import Align
from ..model import Bridge, Span
from ezdxf.math import Vec2, Matrix44, Vector
class std_Foundations(object):
pass
class GeneralFoundation(Bas... |
'''
Description: Prototype System of PVMPATCH
LastEditTime: 2021-10-21 16:44:03
'''
import os
import sys
import pandas as pd
current_dir = os.path.dirname(os.path.abspath(__file__))
sys.path.append(os.path.join(current_dir, ".."))
from multiprocessing import Pool
from time import time
from util.patch import *
from uti... |
# coding:utf-8
# --author-- binglu.wang
""" yeti缓存操作集合 """
import os
import re
import logging
import shutil
import maya.cmds as cmds
import zfused_api
import zfused_maya.core.filefunc as filefunc
import zfused_maya.core.record as record
import zfused_maya.node.core.element as element
import zfused_maya.node.core.ass... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import sys
import time
import numpy as np
import tensorflow as tf
from config import Config
import metrics
import data_input
from TranSearch import TranSearch
def main(argv=None):
train_data =... |
import discord
from discord.ext import commands
import praw
import random
from utils.tools import *
colors=[0xeb4034,0x31e2e8,0x3e32e3,0xe332dd,0xe3e332]
reddit = praw.Reddit(client_id='',
client_secret='',
user_agent='')
@commands.command()
async def subreddit(... |
import os
import re
import numpy as np
import pandas as pd
from IPython import embed
import matplotlib as mpl
#mpl.use('pdf')
from matplotlib.backends.backend_pdf import PdfPages
from mpl_toolkits.axes_grid1.inset_locator import inset_axes
import matplotlib.pyplot as plt
import seaborn as sns
from qlknn.NNDB.model im... |
#
# Copyright (C) 2017 NEC, 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 i... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
#
# Copyright 2013 The Plaso Project Authors.
# Please see the AUTHORS file for details on individual 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 L... |
from django.shortcuts import render, reverse, get_object_or_404
from django.http import HttpResponseRedirect
from django.contrib.auth import get_user_model
from .models import Profile, PalRequest
from django.contrib.auth.decorators import login_required
from django.views.generic import TemplateView, View, ListView
Use... |
import pytest
from itertools import product
from random import getrandbits
from hamcrest import assert_that, equal_to, calling, raises
from base58grs import (
b58encode, b58decode, b58encode_check, b58decode_check, b58encode_int,
b58decode_int,
BITCOIN_ALPHABET,
XRP_ALPHABET)
BASE45_ALPHABET = b"01234... |
# 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 (the "License");
# you ma... |
import tequila.simulators.simulator_api
from tequila.circuit import gates
from tequila.circuit.compiler import compile_controlled_rotation, change_basis, compile_phase, compile_swap, \
compile_ry, compile_y, compile_ch
from numpy.random import uniform, randint
from numpy import pi, ... |
import copy
import json
import pprint
import numpy as np
import networkx as nx
from blockworld import blocks
from blockworld.towers.tower import Tower
from blockworld.utils.json_encoders import TowerEncoder
def load(json_file):
if isinstance(json_file, str):
with open(json_file, 'r') as f:
d... |
#---------------------------------------
#Since : 2019/04/10
#Update: 2021/11/14
# -*- coding: utf-8 -*-
#---------------------------------------
import numpy as np
from copy import deepcopy
import random
import math
from connect4 import Connect4
import time
from parameters import Parameters
class Node():
def __in... |
"""
http://rosettacode.org/wiki/Factorial_base_numbers_indexing_permutations_of_a_collection
https://en.wikipedia.org/wiki/Factorial_number_system
"""
import math
def apply_perm(omega,fbn):
"""
omega contains a list which will be permuted (scrambled)
based on fbm.
fbm is a list which repr... |
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import numpy as np
import os
import pandas as pd
import seaborn as sns
from sklearn.metrics import confusion_matrix
def CM(y, y_pred, labels, save_path=None, verbose=True):
cm = confusion_matrix(y, y_pred)
if verbose... |
import asyncio
import csv
import json
import tempfile
from unittest.mock import patch
import pytest
from gen3.tools.metadata.discovery import (
output_expanded_discovery_metadata,
publish_discovery_metadata,
BASE_CSV_PARSER_SETTINGS,
_try_parse,
)
@patch("gen3.tools.metadata.discovery._metadata_file_... |
import pickle
from typing import Dict, Tuple, List
from collections import OrderedDict
import numpy as np
import pandas as pd
import tensorflow as tf
from sklearn.model_selection import train_test_split
def load_interaction(filepath: str, max_item_list_len: int) -> Tuple:
"""Load interaction from raw dataset. Cr... |
# Copyright (c) Facebook, Inc. and its affiliates
# Copyright (c) MTRF authors
import sys
import numpy as np
from pathlib import Path
import glob
import pickle
import matplotlib.pyplot as plt
import os
import r3l
import gym
from r3l.r3l_envs.inhand_env.pickup import SawyerDhandInHandObjectPickupFixed
from softlearning... |
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 17 10:55:27 2015
@author: Joakim
The only thing that needs to be called from this library is
updateCoordinatePairs,
it does the rest
"""
import requests
import sqlite3 as lite
import json
import time
dbname = 'tietokanta_testi.data'
tablename = 'Pysakki... |
# Stubs for unittest
# Based on http://docs.python.org/3.0/library/unittest.html
# NOTE: These stubs are based on the 3.0 version API, since later versions
# would require featurs not supported currently by mypy.
# Only a subset of functionality is included.
from typing import (
Any, Function, Iterable, U... |
import numpy
import pandas
from tqdm import tqdm
import logging
import openbiolink.train_test_set_creation.ttsConfig as ttsConst
from openbiolink import globalConfig as globConst, utils
from openbiolink.gui.tqdmbuf import TqdmBuffer
class Sampler:
def __init__(self, meta_edges_dic, nodes):
self.meta_edge... |
import numpy as np
import math
from gym import error
try:
import mujoco_py
except ImportError as e:
raise error.DependencyNotInstalled("{}. (HINT: you need to install mujoco_py, and also perform the setup instructions here: https://github.com/openai/mujoco-py/.)".format(e))
def quaternion_to_euler(x, y, z, w):... |
'''
Copyright (c) 2018-2020
<NAME>
<EMAIL>
SPDX-License-Identifier: Apache-2.0
Change Logs:
Date Author Notes
2019-06-30 <NAME> The first version
'''
import sys
import os
sys.path.append(os.path.abspath("../../scripts"))
print(sys.path)
from tensorflow.keras import *
... |
import json
import numpy as np
import pandas as pd
import requests
from bs4 import BeautifulSoup
from iteration_utilities import flatten
from define_collection_wave import folder
from helpers import create_folder, cleanhtml
path_mcdonalds = create_folder('1_McDonalds', folder)
def parse_json(dat):
fileName = p... |
"""Migration for the Submitty system."""
import re
import os
import pwd
import shutil
from pathlib import Path
def up(config):
"""
Run up migration.
:param config: Object holding configuration details about Submitty
:type config: migrator.config.Config
"""
# User 'postgres' uid and gid are n... |
# SPDX-License-Identifier: MIT
# (c) 2019 The TJHSST Director 4.0 Development Team & Contributors
from typing import Any, Dict, List, Optional, cast
import docker
from docker.client import DockerClient
from docker.models.services import Service
from docker.types import EndpointSpec, Resources, RestartPolicy, ServiceM... |
from sklearn.preprocessing import MultiLabelBinarizer
import pandas as pd
import numpy as np
import copy
features = [
'StoreID', 'Date', 'IsOpen', 'IsHoliday', 'HasPromotions', 'NumberOfSales',
'StoreType_Hyper Market','StoreType_Shopping Center', 'StoreType_Standard Market',
'StoreType_Super Market',
'NearestComp... |
# coding: UTF-8
### GPU 指定
import os
#os.environ["CUDA_VISIBLE_DEVICES"] = "4"
### import
import torch
device=torch.device('cuda')
import sys
import cv2
import numpy as np
import time
import torch.nn.functional as F
import matplotlib.pyplot as plt
import statistics
from sift_flow_torch import SiftFlowTorch
from t... |
# coding:utf-8
import zlib
from nose.tools import *
from mock import *
from flanker.mime.message.headers import MimeHeaders
from flanker.mime.message.errors import DecodingError
from cStringIO import StringIO
from .... import *
def headers_case_insensitivity_test():
h = MimeHeaders()
h['Content-Type'] = 1
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from argparse import ArgumentParser
import codecs
import os
import random
import tempfile
import numpy as np
from prepare_dict import load_lexicon
from compare_lexicons import compare_lexicons
def create_tmp_file_name():
basedir = os.path.join(os.path.dirname(__fil... |
import sys
import tensorflow as tf
from datetime import datetime
from read_data import read_data_sets
from cnn_word_model import CNNWordModel
MAX_WORD_LEN = 31
ALPHABET_SIZE = 31
NUM_GENDERS = 3
EPOCHS = 50
BATCH_SIZE = 128 # -batch 128, 256, or 512
NUM_LAYERS = 3 # -layers 0, 1, 2, or 3
DRO... |
# -*- coding: utf-8 -*-
"""
Created on Wed Feb 9 11:39:06 2022
@author: SimenLab
"""
import pathlib
import numpy as np
import pandas as pd
import utilities
# data_path = r"./Data/data_save/1_8dfp_ntc3_512_1.npz"
def load_data(path):
load_path = pathlib.Path(path)
data = np.load(load_path.with_suffix('.npz'... |
# Copyright 2014 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.
import copy
import json
import os
import tempfile
import zipfile
class NonSerializableTraceData(Exception):
"""Raised when raw trace data cannot be serial... |
import subprocess
import os
from leverage import path
from leverage import conf
# Get build config variables
env = conf.load()
# Set project name
project = env.get("PROJECT", "")
if project == "": raise Exception("Project is not set")
# Enable MFA support?
mfa_enabled = True if env.get("MFA_ENABLED", "true").lower()... |
from __future__ import annotations
from collections.abc import Sequence
from pysmartthings import Capability, DeviceEntity
from homeassistant.components.media_player import (
MediaPlayerEntity,
DEVICE_CLASS_SPEAKER,
)
from homeassistant.components.media_player.const import (
DOMAIN as MEDIA_PLAYER_DOMAIN,... |
# Module fwpd_histogram
import ctypes as ct
import time
from modules.example_helpers import *
def enable_characterization(ADQAPI, adq_cu, adq_num, channel, enable, only_metadata):
# Enable logic and release reset
assert (channel < 5 and channel > 0), "Channel must be between 1-4."
# Lookup base ... |
"""코드 내 외부 설정/사전 XML파일을 불러올 때 사용하는 모듈
Classes:
ImportXML
ERBGrammarXML
SettingXML
"""
import xml.etree.ElementTree as ET
from util import DataFilter
class ImportXML:
"""XML을 파싱하는 클래스
Funcitons:
find_all_tags(tagname,[option_num,parent_tag])
export_textlist(tags_list)
expo... |
import csv, os
import time, datetime
from getUSDtoBRLexchangeRates import getCurrency
from WriteDictToCSV import WriteDictToCSV
################################################################################
dataFolder = os.getcwd() + "\Data"
outputFolder = os.getcwd() + "\Output"
filename = ["ESTsoft Inc.... |
# Copyright 2015-2018 <NAME>
#
# This file is part of Platypus, a Python module for designing and using
# evolutionary algorithms (EAs) and multiobjective evolutionary algorithms
# (MOEAs).
#
# Platypus is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as pub... |
import json
import re
import time
from tweepy.streaming import StreamListener
from html.parser import HTMLParser
from unidecode import unidecode
from sentiment_analyzer import sentiment, text_blob_sentiment
from tweet_cleanser import prepare_tweet_json
from es_datastore import write_to_es
# Twitter's results just gi... |
"""
This code is based on the CKA demo published at https://cka-similarity.github.io/
"""
import numpy as np
def gram_linear(x):
"""Compute Gram (kernel) matrix for a linear kernel.
Args:
x: A num_examples x num_features matrix of features.
Returns:
A num_examples x num_examples Gram matrix of example... |
"""Combination of glyph and BiLSTM-CRF model"""
import tensorflow as tf
from tensorflow.contrib.rnn import stack_bidirectional_dynamic_rnn as BiRNN
from ner.optim import get_training_op
def _get_transition_params(num_tags):
with tf.variable_scope("crf", reuse=tf.AUTO_REUSE):
transition_params = tf.get_va... |
__all__ = [
"CLOEXEC",
"NONBLOCK",
"ACCESS",
"MODIFY",
"ATTRIB",
"CLOSE_WRITE",
"CLOSE_NOWRITE",
"CLOSE",
"OPEN",
"MOVED_FROM",
"MOVED_TO",
"MOVE",
"CREATE",
"DELETE",
"DELETE_SELF",
"MOVE_SELF",
"UNMOUNT",
"Q_OVERFLOW",
"IGNORED",
"ONLYDI... |
from enum import Enum
from .linkedList import LinkedList
from .bounds import DomainOperationResult
from .constraintOperation import ConstraintOperationResult
from .constraint import Constraint
from .exceptions import UnsolvedException
class StateOperationResult(Enum):
Solved = 1
Unsatisfiable = 2
TimedOut ... |
import pickle
from os import listdir, makedirs
from typing import List, Tuple, Union, Optional
import json
from os.path import join, exists, isfile, isdir
from hotpot import config
from hotpot.configurable import Configurable
from hotpot.data_handling.data import RelevanceQuestion
from hotpot.data_handling.word_vecto... |
"""
To get line profiling data, first install line-profiler
pip install line-profiler --upgrade
Then run the following two commands
kernprof -l examples_gjrgarch_lineprofiler.py
python -m line_profiler examples_gjrgarch_lineprofiler.py.lprof
"""
import numpy as np
import matplotlib.pyplot as plt
from n... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Jul 9 14:55:25 2018
The double pendulum fractal image, restarting from a fresh perspective
This code measures how long it takes for a double pendulum to flip
@author: Michelle
"""
from numpy import sin, cos
import numpy as np
import matplotlib.pyplot ... |
"""
Date: Feb 20, 2020
Author: <NAME>
Contents: Store persistent data from API calls
Location (lat/lon)
Cloud Cover Percentage
External Temp
"""
import datetime
import dotenv
import json
import os
import pandas
import pvlib.solarposition
import requests
import sys
import controlalgorithm.user_defined_exceptions as ex... |
import argparse
import json
import logging
import os
import pickle
import subprocess
import sys
import tarfile
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG)
def install(package):
subprocess.check_call([sys.executable, "-m", "pip", "install", package])
os.system("conda install -c sebp scik... |
import logging
from .a_blocker import ABlockerIO_Complex
from .a_blk_pager import ABlockerIO_PosPager
#===============================================
DEBUG_MODE = False
#===============================================
class ABlockerIO_PageCluster(ABlockerIO_Complex):
MAX_POS_COUNT = 50
def __init__(self, sch... |
# coding=utf-8
# Copyright 2018 The Google AI Language Team 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 ... |
"""
A class that wraps an ema.Cloud object and its relevant data.
Uses that information to emit signals (from the enum like OPEN, CLOSE)
which are then interpreted as buy/sell signals based on cloud status
and current positions.
Signals may or may not be followed up on based on stop/take profit
levels and avail... |
#!/usr/bin/env python -u
'''chirpchirp.py - transmit data over audio with chirp modulation
Usage:
python -u chirpchirp.py (tx | rx) <fmin> <fmax> <period> [<volume>]
python chirpchirp.py -h
Options:
-h Print this help.
'''
from __future__ import print_function
import codecs
import functools
import nu... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Run notebooks."""
import os
from datetime import datetime
from typing import Dict, List
import papermill as pm
PROJ_ROOT_DIR = os.path.abspath(os.getcwd())
raw_data_dir = os.path.join(PROJ_ROOT_DIR, "data", "raw")
processed_data_dir = os.path.join(PROJ_ROOT_DIR, "... |
#!/usr/local/bin/python3.7
# -*- coding: utf-8 -*-
from typing import List
class Solution:
def minPathSum(self, grid: List[List[int]]) -> int:
"""状态转移方程：自顶向下
dp[m][n] = min(dp[m][n-1], dp[m-1][n]) + grid[i][j]
"""
def memoize(i, j):
# 初始值
if i == 0 or j == 0:... |
import os
os.environ["CUDA_DEVICE_ORDER"] = "PCI_BUS_ID" # see issue #152
os.environ["CUDA_VISIBLE_DEVICES"] = "0"
from model import get_detect_model
from common import CHARS
import numpy as np
import cv2
import sys
import collections
weights_file = 'model_weights_fc1_7.h5'
WINDOW_SHAPE = (64, 128)
def letter_prob... |
# import matplotlib
import matplotlib.pyplot as plt
import pandas as pd
# import numpy as np
import re
import time
import sys
import openpyxl
from openpyxl import Workbook
from openpyxl import load_workbook
from openpyxl.chart import (
ScatterChart,
Reference,
Series,
)
plt.rcParams['font.sans-serif'] = ['... |
# dark blue for end nodes
# light blue for path
# dark green for currently searched nodes
# light green for already searched nodes
# white for empty
import pygame, math, sys
from a_star import *
pygame.init()
pygame.font.init()
HEIGHT = 600
WIDTH = 600
display = pygame.display.set_mode((WIDTH, HEIGHT),... |
import os
import argparse
import time
import pickle
from tqdm import tqdm
import pandas as pd
from multiprocessing import cpu_count #, get_context
from helper_scripts.wit_url_downloader import download_wit_urls
from helper_scripts.wit_clip_class import CLIP
from helper_scripts.wit_dtype import DTYPE, DFLENGTH, DFLENGTH... |
import requests
import json
from storage import make_s_msg_obj, users_storage, keyboards, state, timetable_output_mode
import logging
def handle(event):
user_id = event['object']['message']['from_id']
r_msg = event['object']['message']['text'] # received message
#s_msg = "что-то пошло не так"
#keyboard... |
# Base Parameters
assets = asset_list('FX')
# Trading Parameters
horizon = 'H1'
pair = 0
# Mass Imports
my_data = mass_import(pair, horizon)
def ma(Data, lookback, close, where):
Data = adder(Data, 1)
for i in range(len(Data)):
try:
... |
"""Testing error handling in the common test utilities.
This module unit-tests the utilities we use for writing exhaustive test tools
for the MLIR sparse codegen.
"""
from typing import Callable, List
import inspect
import itertools
import logging
import numpy as np
import sys
# Import MLIR related modules.
from mli... |
import numpy as np
import os, json, torch, math
from PIL import Image, ImageDraw
from torchvision import transforms
from torch.utils.data import Dataset
# from functions import iou_v2, target2line, YolinoLoss
class YolinoDataset(Dataset):
def __init__(self, dataset_dir, image_transform, phase, p, k):
self.... |
#!/usr/bin/env/ python3
"""Guess a random number, or make the computer guess yours!"""
__version__ = '0.2'
__author__ = 'ehlodex'
import random
import time
import os
default_max_tries = int(10)
default_min = random.randint(1, 100) # or int(1)
default_max = random.randint(default_min+50, default_min+100) # or int(1... |
import astropy.io.fits as pyfits
import numpy as np
import scipy.interpolate
import warnings
from bbbd.util.intervals import TimeInterval
class NoGTI(RuntimeError):
pass
class LLEExposure(object):
def __init__(self, lle_file, ft2_file):
# Read GTIs and trigger time from FT1
with pyfits.op... |
import torch
from torch import nn
from torch import optim
from vae import *
from loader import *
from skempi_lib import *
from torch_utils import *
BATCH_SIZE = 32
LR = 1e-3
def get_loss(aa_hat, aa, x_hat, x, mu, logvar):
KLD = -0.5 * torch.sum(1 + logvar - mu.pow(2) - logvar.exp())
L1 = nn.L1Loss(reduction... |
# -*- coding: utf-8 -*-
"""
Dependencies: flask, tornado
"""
from __future__ import absolute_import, division, print_function
import tornado.wsgi
import tornado.httpserver
import logging
import socket
from ibeis.control import controller_inject
from ibeis.web import apis_engine
from ibeis.web import job_engine
from ibe... |
"""Contains all the functions from ``casioplot`` calculator module.
Available functions:
- :py:func:`set_pixel`
- :py:func:`get_pixel`
- :py:func:`draw_string`
- :py:func:`clear_screen`
- :py:func:`show_screen`
You can also use :py:data:`casioplot_settings` to change some behavior.
"""
import os
from typi... |
import curses
import dis
import locale
from types import CodeType
from src.frame import Frame
locale.setlocale(locale.LC_ALL, '')
def get_repr(x):
expr = repr(x)
if len(expr) > 30:
expr = '< {} object >'.format(type(x).__name__)
return expr
def write_code(scr: curses.window, code: CodeType):
... |
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