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import datetime
import random
from collections import defaultdict
from typing import List, Optional
import django
import pytz
from annoying.fields import AutoOneToOneField
from django.contrib.auth.models import User
from django.core.exceptions import ValidationError
from django.db import models
from django.db.models.c... |
import math
import numpy as np
from utlis import visualizeOutput
from keras.models import Sequential
from keras.layers.core import Dense
from keras.datasets import cifar10
from keras.layers.convolutional import *
# from keras.layers.normalization import BatchNormalization
from keras.layers import Flatten, Dropout
fr... |
import functools
import hashlib
import pathlib
from dataclasses import dataclass
from typing import Any, Callable, Dict, List, Optional, Sequence
from typing_extensions import Literal
from .api import track
from .utils import TrackType
TileId = str
Tile = Dict[str, Any]
TilesetInfo = Dict[str, Any]
DataType = Liter... |
'''
Created on 13/02/2012
@author: piranna
'''
from unittest import main, TestCase
from sqlparse.filters import IncludeStatement, Tokens2Unicode
from sqlparse.lexer import tokenize
import sys
sys.path.insert(0, '..')
from sqlparse.filters import compact
from sqlparse.functions import getcolumns, getlimit, IsType
... |
<filename>iceprod/server/rest/tasks.py
import logging
import json
import uuid
import math
from collections import defaultdict
import tornado.web
import pymongo
import motor
from iceprod.core import dataclasses
from iceprod.core.resources import Resources
from iceprod.server.rest import RESTHandler, RESTHandlerSetup, ... |
# Copyright 2014 NEC 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 ... |
<reponame>ilrd/Viral_Headlines
import sys
import os
sys.path.append(os.getcwd())
import tensorflow as tf
import numpy as np
import pandas as pd
from tensorflow.keras.preprocessing.text import Tokenizer
from tensorflow.keras.preprocessing.sequence import pad_sequences
from sklearn.model_selection import train_test_spl... |
<reponame>jessequinn/coursera_applied_data_science_with_python_specialization
''' https://github.com/henriquepgomide/caRtola
All data was taken from caRtola's repository.
'''
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
# concat several years of match data
m2014 = ... |
<reponame>tdilauro/pycallnumber
from __future__ import unicode_literals
from context import options
# Fixtures, factories, and test data
class TObjectWithOptions(options.ObjectWithOptions):
options_defaults = {
'opt1': 'A',
'opt2': 'A',
}
opt2 = 'B'
# Tests
def test_OWO_init_normal_... |
<reponame>liyemei/caffe2
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from caffe2.python.optimizer import (
build_sgd, build_multi_precision_sgd, build_ftrl,
build_adagrad, build_adam, add_weight_decay, SgdOptimizer)
from caffe2.python.optimizer_co... |
<gh_stars>1000+
"""
Module for the creation of composite quantum objects via the tensor product.
"""
__all__ = [
'tensor', 'super_tensor', 'composite', 'tensor_swap', 'tensor_contract'
]
import numpy as np
import scipy.sparse as sp
from qutip.cy.spmath import zcsr_kron
from qutip.qobj import Qobj
from qutip.permu... |
<filename>agent.py
import math
import random
from collections import deque
import airsim
import os
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from PIL import Image
from setuptools import glob
from env import DroneEnv
from torch.utils.tensorboard imp... |
import numpy as np
from tqdm import tqdm
import torch
import pandas as pd
class GradMinimizerBase():
def __init__(self, energy_fn, protein, num_steps=1000, log_interval=10):
self.energy_fn = energy_fn
self.protein = protein
self.optimizer = None
self.x_best = self.protein.coords
... |
<filename>scripts/mcextract.py
import json
import numpy as np
import itertools
'''This module is used to extract Monte Carlo results from the *.results.json files provided in the data directory.'''
class Observable:
def __init__(self, num_tasks):
self.rebinning_bin_length = np.zeros(num_tasks)
sel... |
import sys
import numpy as np
import torch
from torch import nn
from torch.autograd import Variable
from util.holder import *
from util.util import *
# loss on frame id prediction
class FrameLoss(torch.nn.Module):
def __init__(self, opt, shared):
super(FrameLoss, self).__init__()
self.opt = opt
self.shared = sh... |
<gh_stars>1-10
import collections.abc
from pathlib import Path
from typing import Dict, List, Union
import yaml
from pytz import timezone
class LatimesOutputFormatting:
def __init__(
self,
time_format_string: str,
different_time_joiner: str,
aggregate_joiner: str,
aggregat... |
<reponame>cheshire3/cheshire3
from __future__ import absolute_import
import os
import re
from subprocess import Popen, PIPE
from cheshire3.baseObjects import DocumentFactory
from cheshire3.document import StringDocument
from cheshire3.utils import getFirstData, elementType, getShellResult
from cheshire3.exceptions i... |
# This file was *autogenerated* from the file mphase_mms_p2p1_stress_form.sage
from sage.all_cmdline import * # import sage library
_sage_const_2 = Integer(2); _sage_const_0 = Integer(0); _sage_const_2p5 = RealNumber('2.5'); _sage_const_0p25 = RealNumber('0.25'); _sage_const_1p0 = RealNumber('1.0'); _sage_const_0p0... |
#!/usr/bin/env python
# coding: utf-8
import pandas as pd
import logging
from amulog import config
from logdag import log2event
from . import evgen_common
from . import filter_log
_logger = logging.getLogger(__package__)
FEATURE_MEASUREMENT = "log_feature"
class LogEventDefinition(log2event.EventDefinition):
... |
import numpy as np
from n2v.utils import n2v_utils
from n2v.utils.n2v_utils import tta_forward, tta_backward
def test_get_subpatch():
patch = np.arange(100)
patch.shape = (10, 10)
subpatch_target = np.array([[11, 12, 13, 14, 15],
[21, 22, 23, 24, 25],
... |
import numpy as np
import pandas as pd
import copy
from matplotlib import pylab as plt
from sklearn.preprocessing import StandardScaler
from xgboost.sklearn import XGBRegressor
from sklearn.model_selection import cross_val_score, train_test_split, GridSearchCV
def drop_duplicates(data):
"""
function: drop dup... |
<reponame>sail-repos/PRIMA
import numpy as np
from keras.applications.vgg19 import VGG19
from keras.applications.vgg19 import preprocess_input
import os
import keras
import sys
from datautils import get_data,get_model,data_proprecessing
def cos_distribution(cos_array):
cos_distribute = [0 for i in range(10)... |
<reponame>mozhumz/machine_learning_py<filename>demoDay22_decisionTree/data_processHyj.py
import pandas as pd
# import modin.pandas as pd
import numpy as np
# import ray.dataframe as pd2
import time
#显示所有列
pd.set_option('display.max_columns', None)
start_time=time.time()
print('start_time:',start_time)
input_dir = 'G:... |
<gh_stars>0
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# || ____ _ __
# +------+ / __ )(_) /_______________ _____ ___
# | 0xBC | / __ / / __/ ___/ ___/ __ `/_ / / _ \
# +------+ / /_/ / / /_/ /__/ / / /_/ / / /_/ __/
# || || /_____/_/\__/\___/_/ \__,_/ /___/\___/
#
# Copy... |
<reponame>londonkim/scout_apm_python
# coding=utf-8
from __future__ import absolute_import, division, print_function, unicode_literals
import errno
import hashlib
import json
import logging
import os
import subprocess
import tarfile
import time
from urllib3.exceptions import HTTPError
from scout_apm.compat import Co... |
import numpy
import torch
import torch.nn as nn
from NVLL.distribution.gauss import Gauss
from NVLL.distribution.vmf_batch import vMF
from NVLL.distribution.vmf_unif import unif_vMF
from NVLL.distribution.vmf_hypvae import VmfDiff
from NVLL.util.util import GVar
from NVLL.util.util import check_dispersion
numpy.rando... |
"""
Input and output specification dictionaries for FreeSurfer's recon_all_ script.
.. _recon_all:
https://surfer.nmr.mgh.harvard.edu/fswiki/recon-all
"""
from django.conf import settings
from traits.trait_types import String
from django_analyses.models.input.definitions import (BooleanInputDefinition,
... |
import math as m
from typing_extensions import final
import numpy as np
import random
from collections import deque
from datetime import datetime
from gradient_free_optimizers import HillClimbingOptimizer, StochasticHillClimbingOptimizer
from snake_game import SnakeGame
from helper import Helper
from neural_network im... |
<reponame>emmair/BirdsEye<filename>birdseye/rl_common/models.py
"""
These functions are adapted from github.com/Officium/RL-Experiments
"""
import torch
import torch.nn as nn
from torch.nn.functional import log_softmax
from torch.optim import Adam
from birdseye.rl_common.util import Flatten
class SmallRFPFQnet(nn.Mo... |
<reponame>mindgarage/Ovation
import os
from nose.tools import *
import datasets
from datasets.gersen import Gersen
class TestGersenBatches(object):
@classmethod
def setup_class(self):
self.g = Gersen(use_defaults=True)
@classmethod
def teardown_class(self):
pass
def test_load_da... |
# @author: Ven
# @data: 2020/10/3
# @brief: main program of DBM,run this script to keep away from BOTHER
from UserSetting import *
from DBM import JLU_Helper
import time
import random
import argparse
key_words = {
'Chinese':['此项必须填写','如有其它相关说明，请点击','确定','好','办理成功','确定'],
'English':['This field is required'... |
# Autogenerated file. Do not edit.
from jacdac.bus import Bus, BufferClient
from jacdac.util import color_to_rgb
from .constants import *
from typing import List, Optional, Tuple, Union, cast
class LedClient(BufferClient):
"""
A controller for small displays of individually controlled RGB LEDs.
*
*... |
# import torch
# import torch.nn as nn
# import torch.nn.functional as F
# class _ASPPModule(nn.Module):
# def __init__(self, inplanes, planes, kernel_size, padding, dilation):
# super(_ASPPModule, self).__init__()
# self.atrous_conv = nn.Conv2d(inplanes, planes, kernel_size=kernel_size,
# ... |
# -*- coding: utf-8 -*-
# ---
# jupyter:
# jupytext:
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.11.3
# kernelspec:
# display_name: 'Python 3.6.7 64-bit (''base'': conda)'
# name: python367jvsc74a57bd050da0f6fa72fb86d... |
# -*- coding:utf-8 -*-
import tensorflow as tf
import numpy as np
from tensorflow.contrib.rnn import MultiRNNCell
from tensorflow.contrib.rnn import RNNCell
from zoneout import ZoneoutWrapper
default_attn_size = 150
def bidirectional_GRU(inputs, inputs_len, cell=None, cell_fn=tf.contrib.rnn.GRUCell, units=default_at... |
"""Active Directory authentication backend."""
from __future__ import absolute_import, unicode_literals
import itertools
import logging
import dns
from django.conf import settings
from django.contrib.auth.models import User
from django.utils.encoding import force_text
from django.utils.translation import ugettext_la... |
from __future__ import annotations
import os
import sys
from datetime import datetime
from typing import Any, Iterable
import numpy as np
import pandas as pd
import torch
from scipy.special import softmax
from sklearn.metrics import (
accuracy_score,
precision_recall_fscore_support,
r2_score,
roc_auc_... |
<filename>src/pdc2/scripts/process_seq.py<gh_stars>1-10
"""
Modify these following paths according to the location that each file are located:
SRC_HOME
APPS_HOME
BLASTP_DB_PATH
"""
import os,sys
import seq
import gzip
import shutil
APPS_HOME = "/home/yangya/dmorales/apps/" # where trinity and trnasdecoder dirs are lo... |
<filename>Numpy.py<gh_stars>0
import numpy as np
import time
import sys
import os
import matplotlib.pyplot as plt
import cv2
import math
# s = range(1000)
# print(sys.getsizeof(5)*len(s))
# d = np.arange(1000)
# print(d.size*d.itemsize)
# -----------------------------------------------------------------
# size = 10000... |
import tensorflow as tf
from transformers_keras.modeling_albert import AlbertModel, AlbertPretrainedModel
from transformers_keras.modeling_bert import BertModel, BertPretrainedModel
class BertForSequenceClassification(BertPretrainedModel):
"""Bert for sequence classification"""
def __init__(
self,
... |
<reponame>akanimax/rules-and-options
# Run with: `python -m unittest discover`
import unittest
from ruleset import RuleSet, Options
class Test(unittest.TestCase):
def test_depends_aa(self):
rs = RuleSet()
rs.addDep("a", "a")
self.assertTrue(rs.isCoherent(), "rs.isCoherent failed")
... |
import numpy as np
import contextlib
from collections import deque
from spirl.utils.general_utils import listdict2dictlist, AttrDict, ParamDict, obj2np
from spirl.modules.variational_inference import MultivariateGaussian
from spirl.rl.utils.reward_fcns import sparse_threshold
class Sampler:
"""Collects rollouts ... |
<gh_stars>0
import sys
import numpy as np
import scipy.signal
from nptyping import NDArray
from typing import Any
from py2shpss import metric
class HPSS(object):
def __init__(self,
mode : str = 'hm21',
iter : int = 30,
h_size : int = 1,
p_size :... |
<filename>Blog/views.py
# -*- coding: UTF-8 -*-
from django.shortcuts import render
from django.views.generic.list import ListView
from django.views.generic.detail import DetailView
from Blog.models import Article, Category, Tag, BlogComment
from Blog.forms import BlogCommentForm
from markdown import markdown
from djan... |
import re, os, shutil
import lookml.config as conf
import lkml
import github
import base64
import requests
import time, copy
from string import Template
import subprocess, os, platform
######### V3 #########
# TODO: implement length of field to be the number of it's properties (will help with formatting. Dense lookml... |
<reponame>Blitzy29/vocabulary_learning
import numpy as np
import pandas as pd
from Levenshtein import distance
def create_vocab_features(vocab):
vocab['levenshtein_distance_german_english'] = add_levenshtein_distance_german_english(vocab)
vocab["nb_characters_german"] = vocab["german"].map(len)
vocab["n... |
<gh_stars>10-100
from config import *
from header import *
from flask import Flask, request, jsonify, make_response, session
from deploy import *
def create_app():
app = Flask(__name__)
rerank_args = load_deploy_config('rerank')
recall_args = load_deploy_config('recall')
pipeline_args = load_deploy_co... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2019 <NAME>
#
# This file is part of a final year undergraduate project for
# generating discrete text sequences using generative adversarial
# networks (GANs)
#
# GNU GPL-3.0-or-later
import os
import re
import sys
import time
import argparse
import numpy ... |
import MySQLdb
import simplejson as json
import sys, os
import uuid
from datetime import datetime
from sync_orm import *
sql_to_executes = []
is_new_create = False
def _fromType(sqlType):
if 'tiny' in sqlType:
if 'unsigned' in sqlType:
return 'utiny'
else:
return 'tiny'
elif 'small' in s... |
<filename>tests/test_20_messages.py
import os.path
import numpy as np # type: ignore
import pytest
from cfgrib import messages
SAMPLE_DATA_FOLDER = os.path.join(os.path.dirname(__file__), "sample-data")
TEST_DATA = os.path.join(SAMPLE_DATA_FOLDER, "era5-levels-members.grib")
def test_Message_read():
with open... |
#Auhtor: YP
#Created: 2018-07-08
#Last updated: 2019-03-06
#A set of helper functions used by GPS that act as an interface between the redis database and the master and work processes of GPS.
#The "cat format" is an update introcued on 2019-03-06. The format refers to taking in arrays of pts (the parameter point values... |
<filename>tests/utils/test_solve_bruteforce.py
# Copyright 2020 <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
#
# Unles... |
<filename>src/bow_mnb/mnb.py<gh_stars>0
import glob
import math
import re
from nltk.corpus import stopwords
from nltk.stem import SnowballStemmer
from sklearn import metrics
# Utils
from src.util.utils import *
'''
Multinomial Naive Bayes - One method for training and testing, optional parameters - one line of code ... |
<filename>tasks.py
import os
import sys
import fcntl
import datetime
import json
import re
import time
import zipfile
import threading
import hashlib
import shutil
import subprocess
import pprint
import random
from invoke import task
import boto3
import botocore.exceptions
import multiprocessing
import io
import ai2tho... |
<reponame>mcarans/hdx-scraper-covid-viz<gh_stars>0
import logging
from copy import deepcopy
import numpy
import pandas as pd
from hdx.location.country import Country
from hdx.scraper.base_scraper import BaseScraper
from hdx.utilities.text import number_format
logger = logging.getLogger(__name__)
class WHOCovid(Base... |
# -*- coding: utf-8 -*-
from openprocurement.auctions.core.utils import get_related_contract_of_award
# AuctionAwardSwitchResourceTest
def not_switch_verification_to_unsuccessful(self):
auction = self.db.get(self.auction_id)
auction['awards'][0]['verificationPeriod']['endDate'] = auction['awards'][0]['verific... |
from scipy.ndimage import rotate
from scipy.ndimage import zoom
import numpy as np
import cv2
import imutils
from PIL import Image
import Constants
class Animations:
def img_animation_zoom_in(self, orig_img, blur, fr=30):
big_img_size = blur.shape
ret_img = []
img_list = self.zoom_in_unt... |
"""Schevo database, format 2."""
# Copyright (c) 2001-2009 ElevenCraft Inc.
# See LICENSE for details.
import sys
from schevo.lib import optimize
import operator
import os
import random
try:
import louie
except ImportError:
# Dummy module.
class louie(object):
@staticmethod
def send(*arg... |
<reponame>nejch/mkdocs-table-reader-plugin<gh_stars>0
"""
Note that pytest offers a `tmp_path`.
You can reproduce locally with
```python
%load_ext autoreload
%autoreload 2
import os
import tempfile
import shutil
from pathlib import Path
tmp_path = Path(tempfile.gettempdir()) / 'pytest-table-builder'
if os.path.exists... |
"""
Kriging geographical data
-------------------------
In this example we are going to interpolate actual temperature data from
the German weather service `DWD <https://www.dwd.de/EN>`_.
"""
import os
import numpy as np
from scipy import stats
import matplotlib.pyplot as plt
import gstools as gs
border = np.loadtxt... |
<filename>scripts/get-data.py<gh_stars>0
import json
from urllib.request import urlopen
from urllib.parse import urlencode
from bs4 import BeautifulSoup
import requests
import sys, traceback
from itertools import islice
import codecs
def check_url(url, entry):
try:
soup = BeautifulSoup(
url... |
import os
from io import StringIO
from core.factories import UnitFactory, UserFactory
from exams.factories import ExamAttemptFactory, ExamFactory
from otisweb.tests import OTISTestCase
from roster.factories import StudentFactory
from roster.models import Student
from dashboard.factories import AchievementFactory, Ach... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2014, Deutsche Telekom AG - Laboratories (T-Labs)
#
# 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/lice... |
<filename>visualizer.py<gh_stars>1-10
#!/usr/bin/python
import util
import chordKMeans
import sys
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import pylab
import random
import argparse
BEATS_PER_BAR = 4
PLOT_BEATS_PER_BAR = 4
def readCentroids(fileName):
with open(fileName, 'r') as f:
... |
<reponame>security-geeks/userline
#
# Author: <NAME> (aka sch3m4)
# @sch3m4
# https://github.com/thiber-org/userline
#
import sys
import time
import hashlib
import collections
from dateutil import parser as dateparser
from elasticsearch_dsl import Search,Q,A
from elasticsearch_dsl.connections import c... |
#!/usr/bin/env python3
"""
Update page with Wikimedia Commons picture of the day.
The following parameters are supported:
-always Don't prompt to save changes.
¶ms;
"""
# Author : JJMC89
# License: MIT
from datetime import datetime
from typing import Any, Iterable, Set
import mwparserfromhell
import p... |
#!/usr/bin/env python
#this class is based on tutorial code from the following link:
#https://www.pyimagesearch.com/2018/07/30/opencv-object-tracking/
import sys
try:
sys.path.remove('/opt/ros/kinetic/lib/python2.7/dist-packages')
sys.path.append('/opt/ros/kinetic/lib/python2.7/dist-packages')
except Exceptio... |
"""Schema definitions for `marketprice.messages.targeting_recommendation_engine` namespace. Generated by avro2py v.0.0.6."""
import datetime
import decimal
import enum
from typing import List, NamedTuple, Union
class TargetingRecommendationToEnricher(NamedTuple):
"""
Provides required information to the TRE s... |
# -*- coding: utf-8 -*-
"""Provides GUIs to import data depending on the data source used, process and/or fit the data, and save everything to Excel.
@author: <NAME>
Created on May 5, 2020
Notes
-----
The imports for the fitting and plotting guis are within their respective
functions to reduce the time it takes for t... |
<reponame>kyeongsoo/dnn-based_indoor_localization
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
##
# @file ea-based_data_mapping.py
# @author <NAME> (Joseph) Kim <<EMAIL>>
# @date 2018-07-20
#
# @brief Prototype evolutionary algorithm (EA)-based mapping of unstructured
# data to 2-D images.
#
# ... |
"""
Utility functions used to download, open and display
the contents of Wikimedia SQL dump files.
"""
import gzip
import sys
from contextlib import contextmanager
from pathlib import Path
from typing import Iterator, Optional, TextIO, Union
from urllib.error import HTTPError
import wget # type: ignore
# Custom typ... |
<reponame>kcleong/homeassistant-config
import logging
from typing import Optional
from cryptography.fernet import InvalidToken
from homeassistant.config_entries import ConfigEntry
from ..clients.web_api import EdgeOSWebAPI
from ..helpers import get_ha
from ..helpers.const import *
from ..managers.configuration_manag... |
<reponame>bastings/interpretable_neural_predictions
import os
import time
import torch
import torch.optim
from torch.optim import Adam
from torch.optim.lr_scheduler import ReduceLROnPlateau, ExponentialLR
import numpy as np
import shutil
from torch.utils.tensorboard import SummaryWriter
from torchtext import data
fro... |
# coding=utf-8
# Copyright (c) 2017, 2018, Oracle and/or its affiliates.
# Copyright (c) 2017, The PyPy Project
#
# The MIT License
# 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... |
import faulthandler
import io
import logging.handlers
import multiprocessing as mp
import signal
import sys
import threading
from collections import namedtuple
from os import getenv
from pathlib import Path
from random import randint
from zipfile import ZipFile
import numpy as np
import pytest
from bioimageio.core.res... |
<reponame>geraldhansen/certbot_dns_myonlineportal
"""DNS Authenticator for MyOnlinePortal."""
import json
import logging
import time
import requests
import zope.interface
from certbot import errors
from certbot import interfaces
from certbot.plugins import dns_common
logger = logging.getLogger(__name__)
@zope.inte... |
<filename>tests/game/test_reroll.py
from tests.util import *
def test_dodge_reroll_success():
game = get_game_turn()
current_team = game.get_agent_team(game.actor)
players = game.get_players_on_pitch(team=current_team)
player = players[1]
assert not player.has_skill(Skill.DODGE)
# allow a tea... |
<reponame>MatheusProla/Codestand<gh_stars>1-10
import datetime
import glob
import os
import time
from django.conf import settings
from django.template.loader import render_to_string
from ietf.message.models import Message, SendQueue
from ietf.message.utils import send_scheduled_message_from_send_queue
from ietf.doc.m... |
"""
Processing full slides with Fold 0 of pipeline v6:
* data generation
* training images (*0076*)
* non-overlap training images (*0077*)
* augmented training images (*0078*)
* k-folds (*0079*)
* segmentation
* dmap (*0086*)
* contour from dmap (0091)
* classifier (*0088*)
* segmentation correct... |
# cython: profile=False
print("Importing `.materials.database`")
__doc__ = """
DATABASE DOCUMENTATION:
https://www-nds.iaea.org/epics/DOCUMENTS/ENDL2002.pdf
https://www-nds.iaea.org/epics/
"""
__author__ = "<NAME>"
#External Imports
from numpy import * #array, geomspace, flip, load, searchsorted
#Internal Imp... |
"""
A minimal mock for Resilient REST API
To run with this mock class, in [resilient] section of app.config, set:
resilient_mock=rc_cts.lib.resilient_mock.MyResilientMock
"""
import logging
import requests
import requests_mock
from resilient.resilient_rest_mock import ResilientMock, resilient_endpoint
LOG = lo... |
#! /usr/bin/env python3
import os
import shutil
import jinja2
plugin_path = os.path.dirname(os.path.abspath(__file__))
templateLoader = jinja2.FileSystemLoader(searchpath=plugin_path)
templateEnv = jinja2.Environment(loader=templateLoader)
tm = templateEnv.get_template("plugin.jinja")
mode = os.getenv("confgen_mode"... |
<reponame>VoigtLab/MIT-BroadFoundry
#!/usr/bin/env python
"""
Dialout barcodes from pool
==========================
Allows for the extraction of barcodes from a pool where design structure is
fixed. Will only search for perfect matches with references given. Refs are
given in the form of regular expre... |
#from dll_stack import Stack
#from dll_queue import Queue
import sys
sys.path.append('../queue_and_stack')
# lru_cache(maxsize=500)
# least recently used (will purge if not lrc)
# wraps another function HOC - behind the scenes
# takes form of key value pairs
# keep track of priority order can use other DS to help with... |
<reponame>oryxsolutions/frappe<gh_stars>0
# Copyright (c) 2022, Frappe Technologies Pvt. Ltd. and Contributors
# License: MIT. See LICENSE
import frappe
from frappe import _, msgprint
from frappe.query_builder import DocType, Interval
from frappe.query_builder.functions import Now
from frappe.utils import cint, get_ur... |
from config import parameters
import requests
from bs4 import BeautifulSoup
import time
import pickle
import re
import os
import numpy as np
from pdfminer.pdfparser import PDFParser
from pdfminer.pdfdocument import PDFDocument
from pdfminer.pdfpage import PDFPage
from pdfminer.pdfinterp import PDFResourceManager, PDFPa... |
<filename>GP/python/restapi/admin/__init__.py
# WARNING: much of this module is untested, this module makes permanent server configurations.
# Use with caution!
from __future__ import print_function
import sys
import os
import fnmatch
import datetime
import json
import urlparse
from dateutil.relativedelta import relati... |
<filename>pyshadow/main.py<gh_stars>0
from selenium.common.exceptions import ElementNotVisibleException
from selenium.common.exceptions import WebDriverException
from selenium.webdriver.chrome.webdriver import WebDriver as ChromeDriver
from selenium.webdriver.firefox.webdriver import WebDriver as FirefoxDriver
from sel... |
# -*- coding: utf-8 -*-
from dag_configuration import default_dag_args
from trigger_k8s_cronjob import trigger_k8s_cronjob
from walg_backups import create_backup_task
from airflow.operators.dagrun_operator import TriggerDagRunOperator
from airflow.operators.python_operator import PythonOperator
from datetime import dat... |
<reponame>sdadas/yast<gh_stars>1-10
from typing import Dict, List, Any
import numpy as np
from keras import Input
from keras.engine import Layer
from keras.initializers import RandomUniform
from keras.layers import TimeDistributed, Embedding, Dropout, Conv1D, MaxPooling1D, Flatten, Bidirectional, CuDNNLSTM, \
Spat... |
import functools
import logging
logger = logging.getLogger(__name__)
class ExprCtx:
def get_metrics(self, name: str, year: int, quarter: int):
'''get metrics value
Args:
name: metrics name
year: report year
quarter: report quarter.from stockpy.1 to 4
R... |
import os,sys
import json
import tensorflow as tf
from utils import *
from arguments import *
args = get_args()
msa_file = args.ALN
npz_file = args.NPZ
MDIR = args.MDIR
n2d_layers = 61
n2d_filters = 64
window2d = 3
wmin = 0.8
ns = 21
a3m = parse_a3m(msa_file)
contacts = {'... |
<filename>tf_agents/agents/categorical_dqn/categorical_dqn_agent_test.py<gh_stars>0
# coding=utf-8
# Copyright 2018 The TF-Agents 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
#
# ... |
#!/usr/bin/env python3
################################################################################
# parse arguments first
import argparse
import os
build_dir = '../build/RelWithDebInfo'
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--min_3d_power', type=int, defaul... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Sep 07 17:20:19 2018
@author: <EMAIL>
"""
import argparse
import os
import socket
import keras
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim ... |
# -*- coding: utf-8 -*-
# Author: <NAME> <<EMAIL>>
#
# This module was developed with funding provided by
# the ESA Summer of Code (2011).
#
# pylint: disable=W0401,C0103,R0904,W0141
from __future__ import absolute_import, division, print_function
"""
This module provides a wrapper around the VSO API.
"""
import re
i... |
import importlib
import json
import structlog
import pika
import config
from multiprocessing import Process
from ServiceManager import ServiceInfo
logger = structlog.get_logger()
def attackCallback(ch, method, properties, body):
"""Pull service off of attack queue and run selected attack against it"""
conne... |
import functools
import random
import click
from . import write_graph
@click.group()
def main():
"""Graph generation commands"""
pass
def _common_options(func):
"""Common options used in all subcommands"""
@main.command(context_settings=dict(show_default=True))
@click.option(
"--outdi... |
import sys
import os
import glob
import time
import skimage.color as sc
from data import common
import pickle
import numpy as np
import imageio
import random
import torch
import torch.utils.data as data
import cv2
class VSRData(data.Dataset):
def __init__(self, args, name='', train=True):
self.args = args... |
"""
License
-------
Copyright (C) 2021 - <NAME>
You can use this software, redistribute it, and/or modify it under the
terms of the Creative Commons Attribution 4.0 International Public License.
Explanation
---------
This module contains the statistical model of the COVID-19 vaccination campaign
described in a... |
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