text stringlengths 957 885k |
|---|
import datetime
import json
import numpy as np
import pandas as pd
import requests
import xarray as xr
from utils import divide_chunks, get_indices_not_done, \
get_site_codes, append_to_csv_column_wise, load_s3_zarr_store,\
convert_df_to_dataset
def get_all_streamflow_data(output_file, sites_file, huc2=None... |
import weakref
from . import species, rxdmath, rxd, node, initializer
import numpy
import copy
from .generalizedReaction import GeneralizedReaction, ref_list_with_mult, get_scheme_rate1_rate2_regions_custom_dynamics_mass_action
from .rxdException import RxDException
class Reaction(GeneralizedReaction):
def __init_... |
<gh_stars>10-100
#! /usr/bin/env python3
# The MIT License (MIT)
#
# Copyright (c) 2016 <NAME> <<EMAIL>>
# If you like this library, consider donating to: https://bit.ly/armstrap-opensource-dev
# Anything helps.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this softwar... |
import numpy as np
from scipy.spatial.distance import cdist
from plaster.tools.image import imops
from plaster.tools.image.coord import YX, HW
from plaster.tools.schema import check
from plaster.tools.utils.stats import half_nanstd
from plaster.tools.zlog.zlog import spy
def pixel_peak_find_one_im(im, approx_psf):
... |
#!/usr/bin/env python3
# @lc app=leetcode.cn id=706 lang=python3
#
# [706] Design HashMap
#
# https://leetcode-cn.com/problems/design-hashmap/description/
#
# algorithms
# Easy (58.76%)
# Total Accepted: 35.5K
# Total Submissions: 56.1K
# Testcase Example: '["MyHashMap","put","put","get","get","put","get","remove",... |
<filename>tests/tasks/test_empathetic_dialogues.py
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import unittest
from parlai.core.opt import Opt
from parlai.tasks.em... |
from sympy import *
init_printing(pretty_print=true)
x = Symbol('x')
def f(x):
return exp(x)
def aplicando_h(a, b, h):
lista = [a]
elemento = 0
while True:
if elemento < b:
elemento = lista[-1] + h
lista.append(elemento)
else:
break
return lista... |
"""Tests for the Ecosystem class."""
import unittest
import axelrod
class TestEcosystem(unittest.TestCase):
@classmethod
def setUpClass(cls):
cooperators = axelrod.Tournament(
players=[
axelrod.Cooperator(),
axelrod.Cooperator(),
axelrod.Co... |
# -*- coding: utf-8 -*-
"""
Copyright ©2017. The Regents of the University of California (Regents). All Rights Reserved.
Permission to use, copy, modify, and distribute this software and its documentation for educational,
research, and not-for-profit purposes, without fee and without a signed licensing agreement, is
he... |
# pylint: disable=invalid-name
# pylint: disable=line-too-long
import sys
from optparse import OptionParser
from . import flashimage
from . import jffs2
from . import uboot
def main() :
parser = OptionParser()
parser.add_option("-c", dest = "command", default = "information", help = "Command (i[nformation], r... |
<reponame>aliyun/dingtalk-sdk
# -*- coding: utf-8 -*-
# This file is auto-generated, don't edit it. Thanks.
from Tea.core import TeaCore
from alibabacloud_tea_openapi.client import Client as OpenApiClient
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_tea_util.client import Client as ... |
<reponame>Kozoro/ipyida
# -*- encoding: utf8 -*-
#
# This module allows an IPython to be embeded inside IDA.
# You need the IPython module to be accessible from IDA for this to work.
# See README.adoc for more details.
#
# Copyright (c) 2015-2018 ESET
# Author: <NAME> <<EMAIL>>
# See LICENSE file for redistribution.
f... |
<gh_stars>1-10
'''This plots the mixing sweep results
'''
from os import mkdir
from os.path import isdir
from pickle import load
from numpy import arange, array, atleast_2d, hstack, sum, where, zeros
from matplotlib.pyplot import axes, close, colorbar, imshow, set_cmap, subplots
from mpl_toolkits.axes_grid1 import make... |
<reponame>PolicyStat/distributed-nose<gh_stars>1-10
import logging
from hashring import HashRing
from nose.plugins.base import Plugin
from nose.util import test_address
logger = logging.getLogger('nose.plugins.distributed_nose')
class DistributedNose(Plugin):
"""
Distribute a test run, shared-nothing styl... |
<reponame>pinax/pinax-types
import datetime
from django.core.exceptions import ValidationError
from django.test import TestCase
from django.utils import timezone
from pinax.types.periods import (
PERIOD_TYPES,
get_period,
parse,
period_display,
period_for_date,
period_range,
period_start_e... |
from ..loaders import load_data
from ..utils import load_json_config
from deoxys_image.patch_sliding import get_patch_indice
from deoxys_vis import read_csv
import numpy as np
import h5py
import pandas as pd
import os
from time import time
import shutil
import matplotlib.pyplot as plt
import warnings
class H5Metri... |
<gh_stars>0
# -*- coding: utf-8 -*-
"""
Module containing utilities to create/manipulate grids.
"""
import logging
import math
from typing import Optional, Tuple, Union
import geopandas as gpd
import pyproj
import shapely.ops as sh_ops
import shapely.geometry as sh_geom
##############################################... |
<reponame>febsn/aldryn_newsblog_extra_plugins
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
from django.utils.encoding import python_2_unicode_compatible
from django.utils.translation import ugettext, ugettext_lazy as _
from aldryn_categories.fields import CategoryForeig... |
"""
Problem of assembling the original chromosome (sequence) from
its multiple fragments (reads) is represented with a graph,
where vertices are individual reads and edges are overlaps
between reads. The assembly of the original sequence
is equivalent to finding such a path through the graph
that each read is only used... |
<reponame>benedictquartey/Chiromancer
import numpy as np #numpy library for matrix math
import cv2
import imutils # basic image processing
import pandas as pd
import os
from datetime import datetime
import time
import cv_functions
data_class=[]
data_images= []
dataSet = {'images':data_ima... |
#!/usr/bin/env python
#
# Copyright the CoLL team.
#
# 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 ... |
<filename>plugin.audio.booksshouldbefree/cache.py
# Copyright (C) 2013
# <NAME> (<EMAIL>)
#
# This Program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2, or (at your option)
... |
import re, os
import config
class room_task:
def __init__(self, thm_session, room_name, skip_answers=False) -> None:
self.room_tasks = None
self.thm_session = thm_session
self.room_name = room_name
self.skip_answers = skip_answers
def get_attr(self, task: dict=None, question: dict=None) -... |
<filename>matrices.py
from numbers import Number
import random as rd
import time
import numpy as np
class Matrice:
# constructeur
def __init__(self, l, c=None, fill=0.0):
self.lignes = l
# matrice carree ?
if c is None:
self.colonnes = l
else:
self.col... |
#!/usr/bin/env python
"""
This example calculates the Ricci tensor from the metric and does this
on the example of Schwarzschild solution.
If you want to derive this by hand, follow the wiki page here:
https://en.wikipedia.org/wiki/Deriving_the_Schwarzschild_solution
Also read the above wiki and follow the referenc... |
<reponame>ArnaudGallardo/boss<gh_stars>10-100
# Copyright 2016 The Johns Hopkins University Applied Physics Laboratory
#
# 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... |
from __future__ import print_function, division, absolute_import
'''
Modified by <NAME>:
2012-11-30: The timestamping has been converted to more precise, floating-point
representation, instead of integer representation.
(See Lines 600-601 and 630-633 for modification.)
'''
# y_serial Python module Version ... |
#!/usr/bin/env python
"""
Code to plot a contour from an MCMC chain
Author: <NAME> (2013)
Modified: <NAME> (12 August 2013)
"""
import sys,os
import numpy
import pylab
from scipy import interpolate
#from lumfunc import *
import line_profiler
from utils import *
#from settings import *
import matplotlib
from matplotl... |
<reponame>ndrogness/RogyGarden<filename>rogysensor.py
#!/usr/bin/env python3
import time
from collections import namedtuple
try:
from smbus2 import SMBus
except ImportError:
from smbus import SMBus
class RogySensor:
SensorData = namedtuple('SensorData', ['name', 'val', 'units'])
def __init__(self, ... |
<reponame>GSByeon/openhgsenti
# -*- coding: utf8 -*-
#from __future__ import unicode_literals
from elasticsearch import Elasticsearch
import numpy as np
from collections import Counter
from django.shortcuts import render,get_object_or_404
from django.contrib.auth import logout
from django.http import HttpResponseRedir... |
<reponame>Harlen520/NCPQA<gh_stars>10-100
import pandas as pd
import numpy as np
import collections
from prepare.data_preprocess import data_preprocess
from torch.utils.data.distributed import DistributedSampler
from sklearn.model_selection import KFold
from torch.utils.data import TensorDataset, DataLoader, RandomSamp... |
<filename>Trakttv.bundle/Contents/Libraries/Shared/plugin/modules/migrations/account.py
from plugin.core.environment import Environment
from plugin.models import (
Account, ClientRule, UserRule,
PlexAccount, PlexBasicCredential,
TraktAccount, TraktBasicCredential, TraktOAuthCredential
)
from plugin.modules.... |
# *****************************************************************************
# Copyright (c) 2019, Intel Corporation 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 sou... |
# Copyright 2016 VMware, 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... |
import data_mod.utils.jsonutils as sut
import unittest
class TestJsonUtils(unittest.TestCase):
test_case_01 = {
"input": """{
"Root": {
"Level_1": {
"Level_2": {
"Level_3a": "+00:00",
"Level_3b": ... |
<gh_stars>1-10
# -*- coding: utf-8 -*-
import numpy
import sympy.mpmath as sm
sm.mp = 1024
def polynomial(x, list_a):
return sum(a*x**k for k,a in enumerate(list_a))
def d_polynomial(x, list_a):
return sum(a*k*x**(k-1) for k,a in enumerate(list_a) if k >= 1)
def dd_polynomial(x, list_a):
return sum(a*k*... |
<filename>rank_correlation_comparison.py
import matplotlib.pyplot as plt
import numpy as np
from scipy import stats
import pickle
from zero_cost_estimators import zero_cost_estimator
# specify some setup hyperparameters for comparison
sum_window_E = 1
dataset_list = ['cifar10-valid','cifar100', 'ImageNet16-120']
data... |
<reponame>jasonfan1997/threeML
from dataclasses import dataclass, field
from enum import Enum, Flag
from typing import Any, Dict, List, Optional
import numpy as np
import matplotlib.pyplot as plt
from omegaconf import II, MISSING, SI, OmegaConf
from .plotting_structure import CornerStyle, MPLCmap
class Sampler(Enum... |
<reponame>ETCCooperative/brownie
#!/usr/bin/python3
import hashlib
import itertools
import json
import re
import tempfile
from pathlib import Path
from typing import Dict, List, Optional, Set, Tuple
from urllib.parse import urlparse
from ethpm._utils.ipfs import generate_file_hash
from ethpm.backends.ipfs import Infu... |
# -*- coding: utf-8 -*-
# Copyright 2013 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 requi... |
import re
import pandas as pd
import sys
from google.cloud import bigquery, storage
class BqPivot():
"""
Class to generate a SQL query which creates pivoted tables in BigQuery.
Example
-------
The following example uses the kaggle's titanic data. It can be found here -
`https://www.kaggle.com/... |
from dataclasses import dataclass
from typing import Collection, Dict, List, Optional, Set
from zerver.lib.mention import MentionData
from zerver.models import NotificationTriggers
@dataclass
class UserMessageNotificationsData:
user_id: int
online_push_enabled: bool
pm_email_notify: bool
pm_push_noti... |
# Copyright 2016-2021 The <NAME> at the California Institute of
# Technology (Caltech), with support from the Paul Allen Family Foundation,
# Google, & National Institutes of Health (NIH) under Grant U24CA224309-01.
# All rights reserved.
#
# Licensed under a modified Apache License, Version 2.0 (the "License");
# you ... |
import logging
import uuid
from datetime import timedelta
from behave import *
from django.db.models import Sum
from api.tests.factories import (
UserFactory, InstanceFactory, IdentityFactory, InstanceStatusFactory,
ProviderFactory, ProviderMachineFactory, InstanceHistoryFactory)
from core.models import *
fro... |
<filename>src/generator.py
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Fri May 26 16:40:21 2017
@author: lenkakt
"""
import os, sys, getopt
import gravi
import numpy as np
strMainHelp = 'Usage: \n ' + \
'get_data.py -o <OutputFolder> -s <DataSize> -x <XLength> -y <YLength> -a <XStep> -b <YStep>... |
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 16 17:46:57 2017
@author: kcarnold
"""
from megacomplete import data
import numpy as np
import scipy.sparse
#%%
sents = data.yelp_sents()
#%%
sent_lens = np.array([len(sent) for doc in sents for sent in doc])
min_sent_len, max_sent_len = np.percentile(sent_lens, [25, 75]... |
"""
==========================================
From raw data to dSPM on SPM Faces dataset
==========================================
Runs a full pipeline using MNE-Python:
- artifact removal
- averaging Epochs
- forward model computation
- source reconstruction using dSPM on the contrast : "faces - scrambled"
"""
pri... |
import json
import uuid
import requests
from invoke.watchers import Responder
from invoke import task
class DeploymentError(Exception):
def __init__(self, message):
super(DeploymentError, self).__init__("Deployment error: ".format(message))
def _create_resources(c, project_name, verbose=False):
com... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
"""
import os
import sys
sys.path.insert(1, '/home/labs/ahissarlab/arivkind/imagewalker')
sys.path.insert(1, '/home/labs/ahissarlab/orra/imagewalker')
sys.path.insert(1, '/home/orram/Documents/GitHub/imagewalker')
import random
import numpy as np
import tensorflow a... |
<reponame>lfoppiano/grobid-superconductors-tools
from grobid_superconductors.commons.grobid_evaluation_analysis import append_tokens_before, append_tokens_after, \
extract_error_cases
def test_append_tokens_before():
error_case = []
input_data = {
'data': [
['a', '<other>', '<other>']... |
<reponame>MatthieuDartiailh/vispy
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# Copyright (c) 2014, Vispy Development Team.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# ------------------------------------------------------------... |
<reponame>achoi007/CloudComputing
import unittest
from collections import defaultdict
from itertools import combinations, product, ifilter
class SerialEquivalence:
'''
2 txns are serially equivalent iff all pairs of conflicting ops (pair
containing 1 op from each txn) are executed in same order (txn order)... |
from argparse import ArgumentParser
import torch
import torch.nn as nn
import pytorch_lightning as pl
from pytorch_lightning.metrics import Accuracy
from torch.nn import functional as F
from torch.utils.data import DataLoader, random_split
from torchvision.datasets.mnist import MNIST
from torchvision import transform... |
class Realtime():
def __init__(self, device):
self.device = device
self.interface_name = "com.attocube.ids.realtime"
def AafIsEnabled(self):
"""
Checks if the anti-aliasing filter is enabled.
Parameters
----------
Returns
-----... |
<reponame>kassemal/diffTesting<gh_stars>0
"""
Methods that read 'Internet Usage' dataset and the related generalization trees.
"""
#!/usr/bin/env python
# coding=utf-8
import utils.utility as ul
import pickle
from pulp import *
#Some remarkable attributes numbers:
#2 Age (index = 1): Not-Say, 41, 28, 25, 17, 55, 53... |
<gh_stars>1-10
#!/usr/bin/env python
import os
import unittest
import numpy as np
from slowgrad.tensor import Tensor
from slowgrad.utils import fetch
import slowgrad.optim as optim
from tqdm import trange
from models import *
# mnist loader
def fetch_mnist():
import gzip
parse = lambda dat: np.frombuffer(gz... |
<reponame>zhenwendai/MXFusion
import warnings
import numpy as np
import mxnet as mx
from mxnet import initializer
from mxnet import ndarray
from mxnet.gluon import ParameterDict
from ..components.variables import VariableType, Variable
from ..components import ModelComponent
from ..util.inference import realize_shape
f... |
import json
from django.conf import settings
from django.core import validators
from django.db import models
from django.utils.translation import ugettext_lazy as _
from rest_framework.renderers import JSONRenderer
from taggit.managers import TaggableManager
from taggit.models import CommonGenericTaggedItemBase, Tagge... |
<gh_stars>0
import numbers
import os
from unittest.mock import MagicMock
import numpy as np
import pytest
import torch
from pytest import approx, raises
from sklearn.metrics import confusion_matrix, f1_score, precision_score, recall_score
import ignite.distributed as idist
from ignite.engine import Engine, Events, St... |
import sys
import os
import struct
import io
def requires(moduleName):
"""Marks a function as requiring an optional module dependency."""
def decorate_function(fn):
def wrapper(*args, **kwargs):
if moduleName in sys.modules:
result = fn(*args, **kwargs)
retur... |
<reponame>hassanakbar4/ietfdb
# Copyright The IETF Trust 2016-2019, All Rights Reserved
import sys
import time
from textwrap import dedent
import debug # pyflakes:ignore
from django.conf import settings
from django.core.management.base import BaseCommand
from django.core.exceptions import ... |
<filename>DailyCodingProblem/112_Twitter_Find_Lowest_Common_Ancestor_of_Two_Nodes_In_A_Tree.py
"""
This problem was asked by Twitter.
Given a binary tree, find the lowest common ancestor (LCA) of two given nodes in the tree.
Assume that each node in the tree also has a pointer to its parent.
According to the definiti... |
# -*- coding: utf-8 -*-
# Copyright 2018 <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
#
# Unless required by applicable law or agre... |
<reponame>tacaswell/pyFAI<filename>pyFAI/benchmark/__init__.py
#!/usr/bin/env python
# coding: utf-8
#
# Copyright (C) 2016-2018 European Synchrotron Radiation Facility, Grenoble, France
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation f... |
<filename>gwas/src/spark.py
import sklearn as sk
from sklearn import decomposition
import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import pandas as pd
import gzip as gz
import scipy
from scipy import stats
import math
import random
from scipy.optimize import minimize
from scipy.special impor... |
<gh_stars>10-100
# PyMoBu - Python enhancement for Autodesk's MotionBuilder
# Copyright (C) 2010 <NAME>
# <EMAIL>
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the... |
<reponame>RamParameswaran/openfisca-djangoapi
import numpy as np
import pandas as pd
import plotly.graph_objects as go
from plotly.io import to_html
import networkx as nx
import plotly.express as px
from variables.models import Variable
from django.db.models import Count
colorScheme = {
"background_color": 'rgba... |
from flask import Flask, jsonify, request
from .history import history as hist
from .api_funcs import *
from .comments import *
from uszipcode import SearchEngine
def create_app():
app = Flask(__name__)
source_message = 'Please select either USGS or EMSC as source'
@app.route('/')
def home():
... |
<reponame>kclemens/epoet<gh_stars>0
import math
import logging
import random
import json
import gzip
class Box(object):
def __init__(self, min_lon=-180.0, min_lat=-90.0, max_lon=180.0, max_lat=90.0):
self.max_lon = max_lon
self.max_lat = max_lat
self.min_lon = min_lon
self.min_lat ... |
<gh_stars>0
"""This module contains the general information for SysdebugDiagnosticLog ManagedObject."""
from ...ucsmo import ManagedObject
from ...ucscoremeta import MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
class SysdebugDiagnosticLogConsts:
OPER_STATE_ALLOCATED = "allocated"
OPER_STATE_CREA... |
'''
Created on 2016/1/8
:author: hubo
'''
from vlcp.config.config import Configurable, config
from vlcp.event.connection import Client
from vlcp.protocol.redis import Redis, RedisConnectionStateEvent, RedisSubscribeMessageEvent,\
RedisReplyException
from contextlib import contextmanager
def _str(b, encoding = 'as... |
<filename>tensorf/network.py<gh_stars>0
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
import time
################## sh function ##################
C0 = 0.28209479177387814
C1 = 0.4886025119029199
C2 = [
1.0925484305920792,
-1.0925484305920792,
0.31539156525252005,
... |
#!/usr/bin/python3
from pyvips import Image, Introspect, GValue, Error, \
ffi, values_for_enum, vips_lib, gobject_lib, \
type_map, type_name, type_from_name, nickname_find
# This file generates the phpdoc comments for the magic methods and properties.
# It's in Python, since we use the whole of FFI, not just ... |
# -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2021 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... |
<filename>to_srt.py<gh_stars>0
import argparse
import codecs
import math
import os
import re
SUPPORTED_EXTENSIONS = [".xml", ".vtt", "dfxp"]
def leading_zeros(value, digits=2):
value = "000000" + str(value)
return value[-digits:]
def convert_time(raw_time, extension):
if int(raw_time) ... |
from unittest import mock
import pytest
from django.contrib.auth import get_user_model
from email_auth import authentication, models
@pytest.fixture
def mock_email_address_qs():
mock_qs = mock.Mock(spec=models.EmailAddress.objects)
mock_qs.all.return_value = mock_qs
with mock.patch("email_auth.models.E... |
<filename>config_files/create_config_files.py
import argparse
import yaml
import os
if __name__ == "__main__":
datasets = ["yago43k"]
train_types = ["1vsAll", "KvsAll", "negative_sampling"]
template_filename = "templates_iclr2020.yaml"
# parse args
parser = argparse.ArgumentParser()
parser.ad... |
#!/usr/bin/env python3
# author: @netmanchris
# This section imports required libraries
import requests
import json
from pyhpeimc.auth import IMCAuth
HEADERS = {'Accept': 'application/json', 'Content-Type':
'application/json', 'Accept-encoding': 'application/json'}
#auth = IMCAuth('http://','10.101.0.201','808... |
# coding: utf-8
from __future__ import unicode_literals
import itertools
import random
import re
from .common import InfoExtractor
from ..utils import (
determine_ext,
dict_get,
ExtractorError,
int_or_none,
js_to_json,
orderedSet,
str_or_none,
try_get,
)
class TVPIE(InfoExtractor):
... |
<gh_stars>0
# -*- coding: utf-8 -*-
# Scrapy settings for crawler project
#
# For simplicity, this file contains only settings considered important or
# commonly used. You can find more settings consulting the documentation:
#
# https://doc.scrapy.org/en/latest/topics/settings.html
# https://doc.scrapy.org/en/... |
#lims
from SBaaS_LIMS.lims_experiment_postgresql_models import *
from SBaaS_LIMS.lims_sample_postgresql_models import *
from .stage01_quantification_replicatesMI_postgresql_models import *
from SBaaS_base.sbaas_base_query_update import sbaas_base_query_update
from SBaaS_base.sbaas_base_query_drop import sbaas_base_qu... |
<filename>examples/metrica.py
# -*- coding: utf-8 -*-
"""
* Find packing for real-time metrica data
* Owner: <NAME>
* Version: V1.0
* Last Updated: May-14-2020
"""
import os
import sys
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.spatial import distance
from collections import de... |
#!/usr/bin/env python
"""
Copyright (c) 2020 <NAME>
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publi... |
from hazelcast.exception import HazelcastSerializationError
from hazelcast.util import enum
from hazelcast import six
FieldType = enum(
PORTABLE=0,
BYTE=1,
BOOLEAN=2,
CHAR=3,
SHORT=4,
INT=5,
LONG=6,
FLOAT=7,
DOUBLE=8,
UTF=9,
PORTAB... |
<gh_stars>1-10
from bs4 import BeautifulSoup # 크롤링을 위해 bs4 라이브러리 사용
from urllib.request import urlopen
today_menu_list = [[[], [], [], [], [], [], []]]
all_menu_list = []
menuTime = []
day_list = ['월','화','수','목','금','토','일']
tday = ""
for i in range(7): # 첫번째 인덱스를 요일, 두번째 인덱스를 메뉴 시간, 세번째 인덱스를 메뉴 시간별 세부 메뉴를 가진 3차원 ... |
from typing import List
from itertools import combinations
from collections import defaultdict
from clustering import Clustering
class CustomMeasure(object):
def __init__(self, clusterings: List[Clustering]):
self.nclusterings = len(clusterings)
self.clusterings = clusterings
self.cluster... |
<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# #
# Copyright 2016-2017 VMware Inc.
# This file is part of ETSI OSM
# 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 L... |
'''Extracting Text from PDF'''
import enum
from pathlib import Path
import fitz
from graeScript import outfile_path
class FileMode(enum):
"""
PDF output text modes that work with sending to file.
From Fitz/pymupdf:
https://pymupdf.readthedocs.io/en/latest/page.html?highlight=get_text#Page.get_tex... |
<filename>src/ppo/agent.py
import random
import logging
import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.models import load_model
from typing import Tuple, List, Any
from src.base import Agent
... |
<filename>wagtail_review/models.py<gh_stars>0
from django.conf import settings
from django.db import models
from django.db.models import Case, Q, Value, When
from django.db.models.constraints import CheckConstraint, UniqueConstraint
from django.template.loader import render_to_string
from django.urls import reverse
fro... |
<filename>bot_ava.py
from selenium import webdriver
from time import sleep
from icalendar import Calendar, Event, vDatetime
from datetime import datetime
from pytz import UTC
import os
import time
import secret
import platform
import json
DATA_PATH = r'C:\Users\lacft\Documents\moddle_calendar_bot\data'
data = {}
cl... |
<gh_stars>1-10
# ==============================================================================
# ARSC (A Relatively Simple Computer) License
# ==============================================================================
#
# ARSC is distributed under the following BSD-style license:
#
# Copyright (c) 2016-2017 <NAM... |
<filename>api/views.py<gh_stars>0
import re
from rest_framework.permissions import IsAuthenticated
from rest_framework.views import APIView
from api.serializers import (
UserSerializer,
UserInCourseSerializer,
LoginSerializer,
CourseSerializer,
RegistrationInCourseReadSerializer,
RegistrationInC... |
from os.path import join
import numpy as np
import pickle
from grammar.grammar import Grammar
from components.dataset import Example
from grammar.python3.python3_transition_system import *
from datasets.utils import build_dataset_vocab
import sys
sys.path.append('.')
# from grammar.hypothesis import Hypothesis, Apply... |
<filename>integration/test/short_region/plot_margin_sweep.py
#!/usr/bin/env python3
#
# Copyright (c) 2015 - 2021, Intel Corporation
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions
# are met:
#
# * Redistributions of so... |
# -*- coding: utf-8 -*-
"""
Reference implementation of RiWalk.
Author: <NAME>
For more details, refer to the paper:
RiWalk: Fast Structural Node Embedding via Role Identification
ICDM, 2019
"""
import argparse
import json
import time
import RiWalkGraph
from gensim.models import Word2Vec
from gensim.mode... |
<reponame>861934367/cgat
##########################################################################
#
# MRC FGU Computational Genomics Group
#
# $Id$
#
# Copyright (C) 2009 <NAME>
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# ... |
from rest_framework import serializers
from django.contrib.auth import get_user_model, authenticate # authenticate function which comes with Django and it's a Django helper command for working with the Django authentication system. So you simply pass in the username and password and you can authenticate a request
from... |
# GENERATED BY KOMAND SDK - DO NOT EDIT
import komand
import json
class Component:
DESCRIPTION = "Get alerts by domain"
class Input:
DOMAIN = "domain"
class Output:
RESULTS = "results"
class GetAlertForDomainInput(komand.Input):
schema = json.loads("""
{
"type": "object",
... |
import sys
import numpy as np
from PIL import Image
import torchvision
from torch.utils.data.dataset import Subset
from sklearn.metrics.pairwise import cosine_similarity, euclidean_distances
import torch
import torch.nn.functional as F
import random
import os
import json
from numpy.testing import assert_... |
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