input stringlengths 2.65k 237k | output stringclasses 1
value |
|---|---|
"bigquery_options")
@bigquery_options.setter
def bigquery_options(self, value: Optional[pulumi.Input['OrganizationSinkBigqueryOptionsArgs']]):
pulumi.set(self, "bigquery_options", value)
@property
@pulumi.getter
def description(self) -> Optional[pulumi.Input[str]]:
"""
A description of this exclusion.
"""
r... | |
pipeline_key.name(), pipeline_record.status)
raise db.Rollback()
pipeline_record.status = _PipelineRecord.DONE
pipeline_record.finalized_time = self._gettime()
pipeline_record.put()
db.run_in_transaction(txn)
def transition_retry(self, pipeline_key, retry_message):
"""Marks the given pipeline as requiring ano... | |
<reponame>gjkennedy/OpenMDAO
"""
A console script wrapper for multiple openmdao functions.
"""
import sys
import os
import argparse
from openmdao import __version__ as version
try:
import pkg_resources
except ImportError:
pkg_resources = None
from itertools import chain
import openmdao.utils.hooks as hooks
from o... | |
<gh_stars>0
import abc
import collections
import copy
import inspect
import itertools
import json
import re
import warnings
from datetime import datetime
import elasticsearch_dsl as dsl
from django.conf import settings
from django.contrib import messages
from django.forms.forms import Form
from django.http import Htt... | |
''
activity_header.paragraphs[0].add_run("Purpose").bold = True
activity_header.paragraphs[0].alignment = WD_ALIGN_PARAGRAPH.CENTER
role_header = server_table.cell(0, 2)
role_header.text = ''
role_header.paragraphs[0].add_run("Role").bold = True
role_header.paragraphs[0].alignment = WD_ALIGN_PARAGRAPH.CENTER
# L... | |
<reponame>STARInformatics/kgx<gh_stars>0
from typing import Dict, List, Optional, Any, Callable
from sys import stderr
import yaml
from json import dump
from json.encoder import JSONEncoder
from kgx import GraphEntityType
from kgx.prefix_manager import PrefixManager
from kgx.graph.base_graph import BaseGraph
"""
Gen... | |
to next page of resources.
:vartype next_link: str
"""
_validation = {
'value': {'required': True},
'next_link': {'readonly': True},
}
_attribute_map = {
'value': {'key': 'value', 'type': '[Certificate]'},
'next_link': {'key': 'nextLink', 'type': 'str'},
}
def __init__(self, **kwargs):
super(CertificateC... | |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
#
# SPDX-License-Identifier: GPL-3.0
#
##################################################
# GNU Radio Python Flow Graph
# Title: Dtv Sigmf Playback
# Generated: Sat Feb 23 23:29:06 2019
# GNU Radio version: 3.7.12.0
##################################################
if __... | |
import numpy as np
class lattice():
"""Contains functions to help out calculate matrices
in the Fermi-Hubbard model"""
def __init__(self, xs,ys,zs):
'''The dimensions of the grid are given to initialize the lattice.
Recommended max of 4 sites, otherwise it can take too long to
complete.'''
# x, y, and z have... | |
= int(floor(p[0]/self.ScaleFactor)),int(floor(p[1]/self.ScaleFactor))
w,h = self.Image.shape[-2:]
if x >= 0 and x < w and y >= 0 and y < h:
if self.Image.ndim == 2: count = self.Image[x,y]
elif self.Image.ndim == 3: count = self.Image[:,x,y]
self.SetStatusText("(%d,%d) count %s" % (x,y,count))
else: self.SetStatu... | |
not mentioned in docs)
axis = kwargs.get("axis", 0)
func = self._build_mapreduce_func(pandas.DataFrame.var, **kwargs)
return self._full_axis_reduce(axis, func)
# END Column/Row partitions reduce operations
# Column/Row partitions reduce operations over select indices
#
# These operations result in a reduced di... | |
c in points]
dbscan = DBSCAN(
eps=eps, min_samples=min_samples).fit(pos)
clustered_points = []
for label in range(np.max(dbscan.labels_) + 1):
if np.count_nonzero(dbscan.labels_ == label) <= min_points:
continue
for idx, p in enumerate(points):
if dbscan.labels_[idx] == label:
clustered_points.append(p)
re... | |
<gh_stars>0
# coding: utf-8
"""
LEIA RESTful API for AI
Leia API # noqa: E501
OpenAPI spec version: 1.0.0
Contact: <EMAIL>
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
import re # noqa: F401
import six
class Model(object):
"""NOTE: This class is auto generated by the sw... | |
<reponame>08saikiranreddy/ipython
# encoding: utf-8
"""Magic functions for InteractiveShell.
"""
#-----------------------------------------------------------------------------
# Copyright (C) 2001 <NAME> <<EMAIL>> and
# Copyright (C) 2001-2007 <NAME> <<EMAIL>>
# Copyright (C) 2008-2009 The IPython Development Team
# ... | |
a negative match
:type match: ``boolean``
:raise: ``InvalidArgument`` -- ``to`` is less than ``from``
:raise: ``NullArgument`` -- ``from`` or ``to`` ``null``
*compliance: mandatory -- This method must be implemented.*
"""
pass
@abc.abstractmethod
def match_any_fixed_start_offset(self, match):
"""Matches fix... | |
all steps are complete (default is on)
"""
kerberos_attributes: pulumi.Output[dict]
"""
Kerberos configuration for the cluster. Defined below
* `adDomainJoinPassword` (`str`) - The Active Directory password for `ad_domain_join_user`. This provider cannot perform drift detection of this configuration.
* `adDomain... | |
names or ids query param. This will fail with a 412 Precondition failed if the resource was changed and the current version of the resource doesn't match the value in the query param.
:param bool async_req: Request runs in separate thread and method returns multiprocessing.pool.ApplyResult.
:param bool _return_http_d... | |
100508,
-62995,
166399177,
100507,
-62994,
166464543,
100506,
-62993,
166529923,
100505,
-62992,
166595274,
100504,
-62991,
166660594,
100503,
-62990,
166725974,
100502,
-1,
166791366,
100501,
166988286,
166202243,
-1,
-62987,
166923910,
100500,
-62986,
166989319,
100499,
-62985,
1670546... | |
# -*- coding: utf-8 -*-
"""Module implementing the abstract Runner."""
import os
import json
from .abstract_runner_utils import float2str
from .abstract_runner_utils import _add_hp_to_argparse
import time
import abc
import argparse
import warnings
from copy import deepcopy
from deepobs import config as global_config
im... | |
<reponame>schemacs/supervisor
import unittest
from supervisor.tests.base import DummySupervisor
from supervisor.tests.base import DummyRequest
from supervisor.tests.base import DummySupervisorRPCNamespace
from supervisor.compat import xmlrpclib
from supervisor.compat import httplib
class GetFaultDescriptionTests(uni... | |
0, 1, 2, 2, 0, 3, 2, 0, 0]
divinatory 1.6 1.42829 [4, 1, 0, 0, 1, 3, 3, 0, 1, 3]
divine 2.6 0.8 [3, 3, 3, 2, 1, 2, 3, 4, 2, 3]
divined 0.8 1.16619 [1, 0, 3, 0, 0, 1, 0, 3, 0, 0]
divinely 2.9 0.7 [3, 2, 3, 3, 2, 4, 3, 2, 4, 3]
diviner 0.3 0.9 [0, 0, 3, 0, 0, 0, 0, 0, 0, 0]
diviners 1.2 1.16619 [0, 1, 0, 2, 2, 0, 3, 1, 3... | |
<gh_stars>0
"""
# Zero Knowledge Proofs in Python
Examples of discrete-log zero-knowledge proofs implemented in Python
More specifically, these are non-interactive, zero-knowledge,
proofs of knowledge. They can be analyzed and proven secure
in the random oracle model (the random oracle here is instantiated
with the S... | |
Optional[pulumi.Input[str]]:
"""
Description of the security group.
"""
return pulumi.get(self, "description")
@description.setter
def description(self, value: Optional[pulumi.Input[str]]):
pulumi.set(self, "description", value)
@property
@pulumi.getter(name="fromPort")
def from_port(self) -> Optional[pulum... | |
import numpy as np
import random
import itertools
import sys
from lattice_mc import atom, jump, transitions, cluster
from lattice_mc.error import BlockedLatticeError
from collections import Counter
class Lattice:
"""
Lattice class
"""
def __init__( self, sites, cell_lengths ):
"""
Initialise a Lattice instance... | |
__author__ = 'calvin'
import configparser
import datetime
import glob
import json
import logging
import os
import re
import shutil
import smtplib
import sys
import time
from email import encoders
from email.mime.base import MIMEBase
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
fr... | |
from __future__ import unicode_literals
import datetime
import os
import unittest
from django import get_version
from django.db import models
from django.template import Template, Context
from django.test import SimpleTestCase
from django.test.utils import override_settings
from six.moves import range
try:
from dj... | |
= None
class LaunchTemplateBlockDeviceMapping(BaseModel):
DeviceName: Optional[String] = None
VirtualName: Optional[String] = None
Ebs: Optional[LaunchTemplateEbsBlockDevice] = None
NoDevice: Optional[String] = None
class LaunchTemplateBlockDeviceMappingList(BaseModel):
__root__: list[LaunchTemplateBlockDevice... | |
tuple
Set of parameters.
"""
# Current shape
H, W, D = X.shape
# Reshape arrays
X = X.reshape((H*W, D))
if self.init_params == 'random':
# Dirichlet concentration hyperparameters
at = np.ones((self.K,))*(H*W)/2
# Normal precision-scale hyperparameters
bt = np.ones((self.K,))*(H*W)/2
# Wishart degrees ... | |
= b'c'
else:
state = b'o'
f.write(b"%s %s %s\n" % (hex(node), state, label))
f.close()
repo.ui.log(
b'branchcache',
b'wrote %s with %d labels and %d nodes\n',
_branchcachedesc(repo),
len(self._entries),
nodecount,
)
except (IOError, OSError, error.Abort) as inst:
# Abort may be raised by read only opener, ... | |
<reponame>lhorne-gavant/OpenPubArchive-Content-Server-1
import re
import sys
from datetime import datetime
from optparse import OptionParser
from configLib.opasCoreConfig import solr_docs, solr_authors, solr_gloss, solr_docs_term_search, solr_authors_term_search
import logging
logger = logging.getLogger(__name_... | |
np.sort(np.append(addindexes,index))
subindexes = np.sort(np.append(subindexes,index))
changes[index] = -changecount
ind[index] += changecount
for index in np.where(np.abs(changes)>1)[0]:
if changes[index] < 0:
for i in range(np.abs(changes[index])-1):
subindexes = np.sort(np.append(subindexes,index))
els... | |
rows become None instead of NaN
# (aggregation sum of int + NaN = float, but we want int, so we use
# int + None = int to stop decimals from appearing in the size sums)
# - re-sort by price based on side
# - bids: high to low
# - asks: low to high
# - Re-index the frame by current sorted positions so the concat j... | |
P = _multirice3dfun(r,nu,sig,a)
return P
# =================================================================
# =================================================================
@metadata(
parameters = ('Location of 1st Rician', 'Spread of 1st Rician', 'Amplitude of 1st Rician',
'Location of 2nd Rician', 'Spread of... | |
<reponame>SofiaBadini/estimagic
import functools
import json
import warnings
from pathlib import Path
import numpy as np
import pandas as pd
from scipy.optimize._numdiff import approx_derivative
from estimagic.decorators import expand_criterion_output
from estimagic.decorators import handle_exceptions
from estimagic.... | |
"unhailed",
"unhaired",
"unhairer",
"unhallow",
"unhalved",
"unhanded",
"unhanged",
"unhatted",
"unhealed",
"unhedged",
"unheeded",
"unhelmed",
"unhelped",
"unheroic",
"unhinges",
"unholier",
"unholily",
"unhooded",
"unhooked",
"unhorsed",
"unhorses",
"unhoused",
"unhouses",
"unhusked",
"unialga... | |
<filename>sportsbetting/user_functions.py
#!/usr/bin/env python3
"""
Fonctions principales d'assistant de paris
"""
import colorama
import copy
import inspect
import socket
import sqlite3
import sys
import termcolor
import time
import traceback
import urllib
import urllib.error
import urllib.request
from itertools imp... | |
sage: RowStandardTableauTuple([[[4]],[[2,3],[1]]]).residue_sequence(3,(0,1)).row_standard_tableaux().residue_sequence()
3-residue sequence (0,1,2,0) with multicharge (0,1)
sage: StandardTableauTuple([[[4]],[[1,3],[2]]]).residue_sequence(3,(0,1)).row_standard_tableaux().residue_sequence()
3-residue sequence (1,0,2,0)... | |
9 * m.b683 <= 0)
m.e918 = Constraint(expr= m.x591 - 9 * m.b684 <= 0)
m.e919 = Constraint(expr= m.x592 + 9 * m.b682 <= 9)
m.e920 = Constraint(expr= m.x593 + 9 * m.b683 <= 9)
m.e921 = Constraint(expr= m.x594 + 9 * m.b684 <= 9)
m.e922 = Constraint(expr= 5 * m.b685 + m.x775 == 0)
m.e923 = Constraint(expr= 4 * m.b686 + m.x7... | |
encountered an EXE/SGATE overlap error.',
147: 'Formatter Correction Buffer underrun error.',
148: 'Formatter Correction Buffer overrun error.',
149: 'Formatted detected NRZ interface protocol error.',
150: 'Media Manager\xe2\x80\x99s MX Overrun error.',
151: 'Media Manager\xe2\x80\x99s NX Overrun error.',
152: '... | |
can also be a pair (tuple) of
(connection, read) timeouts.
:param _request_auth: set to override the auth_settings for an a single
request; this effectively ignores the authentication
in the spec for a single request.
:type _request_auth: dict, optional
:return: Returns the result object, the HTTP status code, an... | |
# coding=utf-8
# Copyright 2021 The Google Flax Team Authors and The HuggingFace Inc. 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
#
# ... | |
<gh_stars>0
import numpy as np
import random
from collections import namedtuple, deque
from dqn.data_structures import SumSegmentTree, MinSegmentTree, MaxPriorityQueue
Experience = namedtuple("Experience", ["state_t", "action_t", "reward_tn", "state_tpn", "gamma_n"])
class Simple:
def __init__(self, capacity):
self... | |
which allow to enter the
expression.
"""
description = _messages.StringField(1)
expression = _messages.StringField(2)
location = _messages.StringField(3)
title = _messages.StringField(4)
class GetClusterConfigDownloadUrlResponse(_messages.Message):
r"""Response which contains a source location of the backup's... | |
import torch
import torch.nn as nn
class Resnet50_256(nn.Module):
def __init__(self):
super(Resnet50_256, self).__init__()
self.meta = {'mean': [131.0912, 103.8827, 91.4953],
'std': [1, 1, 1],
'imageSize': [224, 224, 3]}
self.conv1_7x7_s2 = nn.Conv2d(3, 64, kernel_size=[7, 7], stride=(2, 2), padding=(3, 3), b... | |
GROUP (ORDER BY mytable.name DESC) "
"OVER (PARTITION BY mytable.name ORDER BY mytable.myid "
"ROWS BETWEEN :param_1 FOLLOWING AND :param_2 FOLLOWING) "
"AS anon_1 FROM mytable",
)
def test_date_between(self):
import datetime
table = Table("dt", metadata, Column("date", Date))
self.assert_compile(
table.sele... | |
<filename>backend/portal/summoners/views.py
import boto
import json
import random
import string
from boto.sqs.connection import SQSConnection
from boto.sqs.message import RawMessage
from cassiopeia.type.api.exception import APIError
from datetime import datetime
from django.contrib.auth import hashers
from django.core.... | |
Adv.'
],
ylim: (0, 100),
xlim: (0, 0.05),
is_log: False,
}
robust_non_adaptive2 = {ylabel: "Test Accuracy (%)",
file_name: "distortion_robust_net_non_adaptive2",
title: "C&W L$_2$ non-adaptive",
# legend_pos: "lower left",
legend_pos: "upper right",
# bbox: (0.0, 0.0),
column_nr: 8,
legend_cols: 1,
labels... | |
"""
Unit and regression test for the reference_handler package.
"""
# Import package, test suite, and other packages as needed
import reference_handler # noqa: F401
from reference_handler import decode_latex
from reference_handler import encode_latex
import sys
alphabet = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqr... | |
= getattr(classified_domain, 'cert_info',
None)
if cert_info is None:
domains_certificate_status[
classified_domain.domain] = (
"create_in_progress")
continue
else:
edge_host_name = (
classified_domain.cert_info.
get_edge_host_name())
domain_access_url = service_obj.provider_details[
self.driver.provider_na... | |
message['status'] = 'READY'
message['error'] = None
message['timestamp'] = time.time()
message['sla_id'] = self.services[serv_id]['sla_id']
message['policy_id'] = self.services[serv_id]['policy_id']
message['nsr'] = self.services[serv_id]['nsr']
message['vnfrs'] = []
for function in self.services[serv_id]['func... | |
import re
import os
import numpy as np
import tensorflow as tf
import json
from tqdm import *
from math import sqrt
from PIL import Image
from time import sleep
from keras import backend as K
from keras.preprocessing.image import Iterator
from keras.preprocessing.image import ImageDataGenerator
from keras.utils.generi... | |
result = sot._prepare_request(requires_id=False, prepend_key=True)
self.assertEqual("/something", result.url)
self.assertEqual({key: {"x": body_value}}, result.body)
self.assertEqual({"y": header_value}, result.headers)
def test__prepare_request_with_patch(self):
class Test(resource.Resource):
commit_jsonpatch ... | |
1 / Fs)
if len_x is not None:
x = x[:len_x]
# get the stimulus frequencies, defaulting to None
fstims = [Fs / fstim for fstim in fstims]
# get the constants, default to calculated values
if NFFT_density is None:
NFFT_density_real = 256
elif NFFT_density < 0:
NFFT_density_real = NFFT_density = 100
... | |
<reponame>francaracuel/UGR-GII-CCIA-4-VC-Vision_por_computador-17-18-Practicas
# -*- coding: utf-8 -*-
"""
<NAME>
VC - Visión por Computador
4º - GII - CCIA - ETSIIT - UGR
Curso 2017/2018
"""
import cv2
import numpy as np
import math
import copy
from matplotlib import pyplot as plt
##############################... | |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# webapp.py
#
# Copyright 2018 <NAME> <<EMAIL>>
#
# 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 limita... | |
data.get("_id", data.get("mongo_id"))
if mongo_id is None:
raise KeyError("Missing `_id` or `mongo_id` on the data, it's needed to update the database!")
if not isinstance(mongo_id, ObjectId):
mongo_id = ObjectId(mongo_id)
new_cls = cls(id, parsed_servers)
new_cls.mongo_id = mongo_id
return new_cls
def seriali... | |
# document_retrieval functions
import math
import string
import collections
from gensim.models import KeyedVectors
import numpy as np
def change_dict_structure(dict_list):
"""Takes list of dicts from db_query and changes to dict with key=id, value = text (used for metrices).
Args:
dict_list (list): List of dictio... | |
<reponame>MaayanLab/creeds<gh_stars>1-10
'''
ORMs for signature, signatures in the MongoDB and collection of signatures.
'''
import os, sys, json
import hashlib
from collections import Counter
import numpy as np
import pandas as pd
import scipy.sparse as sp
import requests
from joblib import Parallel, delayed
from .g... | |
# This file is part of Flask-Multipass-CERN.
# Copyright (C) 2020 - 2021 CERN
#
# Flask-Multipass-CERN is free software; you can redistribute
# it and/or modify it under the terms of the MIT License; see
# the LICENSE file for more details.
import logging
from datetime import datetime
from functools import wraps
from ... | |
<gh_stars>0
import numpy as np
import pickle as pkl
import networkx as nx
import scipy.sparse as sp
from scipy.sparse.linalg.eigen.arpack import eigsh
import sys
from gcn.input_data import pollute_data
import json
import os
from networkx.readwrite import json_graph as jg
import sys
sys.path.insert(1, '/Users/april/Do... | |
"""
█▀▀ █▀▀ █▄░█ █▀▀ █▀ █ █▀ █░░ █▀▀ █▀ █▀ █▀█ █▄░█ █▀ █░█ █▀█ █░░ ░ ▄█
█▄█ ██▄ █░▀█ ██▄ ▄█ █ ▄█ █▄▄ ██▄ ▄█ ▄█ █▄█ █░▀█ ▄█ ▀▄▀ █▄█ █▄▄ ▄ ░█
Welcome to the Genesis Gir lesson tutorials Volume 1! Genesis Chit Chat bot is a program that gathers info on
the user and displays all the cool info at the end of the pr... | |
<filename>paths_cli/wizard/wizard.py<gh_stars>1-10
import shutil
import os
import textwrap
from paths_cli.wizard.tools import yes_no, a_an
from paths_cli.wizard.core import get_object
from paths_cli.wizard.errors import (
FILE_LOADING_ERROR_MSG, RestartObjectException
)
from paths_cli.wizard.joke import name_joke
fro... | |
<filename>autoarray/structures/arrays/two_d/abstract_array_2d.py
import logging
import numpy as np
from typing import List, Tuple, Union
from autoconf import conf
from autoarray.structures.abstract_structure import AbstractStructure2D
from autoarray.structures.arrays.one_d.array_1d import Array1D
from autoa... | |
"""
Copyright (C) <2010> Aut<NAME>. TSRI
This file git_upy/houdini/houdiniHelper.py is part of upy.
upy 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 License, or
(at your option... | |
<reponame>pd3d/magneto
'''
* This version has been reduced to support the Finexus setup, in an attempt to replicate their reported accurate Z positioning.
*
* Position tracking of magnet based on Finexus
* https://ubicomplab.cs.washington.edu/pdfs/finexus.pdf
*
* VERSION: 0.2.2.c
* - MODIFIED: 4 sensors in operation.
*... | |
<filename>utils/saveHdf5ToAedat2.py
import sys, argparse
import numpy as np
from numpy import uint32, int32, int64, int16
from tqdm import tqdm
import logging
from pathlib import Path
import easygui
import locale
import h5py
MAX_ADC = 1023
GYRO_FULL_SCALE_DEG_PER_SEC_DEFAULT=1000 # default hardware values in jAER for ... | |
# -*- coding: utf-8 -*-
from copy import deepcopy
from datetime import timedelta
from itertools import combinations
from typing import Tuple, Sequence
import numpy as np
from ..base import Property
from ..models.transition.base import TransitionModel
from ..models.transition.linear import ConstantTurn, ConstantVeloci... | |
<filename>ot/gromov.py
# -*- coding: utf-8 -*-
"""
Gromov-Wasserstein transport method
"""
# Author: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: MIT License
import numpy as np
from .bregman import sinkhorn
from .utils import dist, UndefinedParameter
from .... | |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# Copyright 2019 SAP SE or an SAP affiliate company. All rights reserved
# ============================================================================
""" Abstract Writer """
from __future__ import absolute_import
from __future__ import division
from __future__ import print_... | |
token should be
considered as an @ref entity_reference, `False` if the pattern is
not recognised.
@note This call should not verify an entity exits, just that
the format of the string is recognised.
@see @ref entityExists
@see @ref resolveEntityReference
"""
raise NotImplementedError
@abc.abstractmethod
de... | |
is of type OvalDefinition
Returns None if no definitions could be found
@rtype: List
@return: All definitions in the OVAL document or None if none were found
"""
root = self.getDocumentRoot()
if not root:
return None
defroot = root.find("def:definitions", OvalDocument.NS_DEFAULT)
if defroot is None:
return... | |
from tkinter import *
from tkinter import ttk
from tkinter import filedialog
from tkinter import messagebox
import turtle
import time
from PIL import Image
from tkinter import tix
class App:
s="""self.screen.clearscreen()
self.screen.listen()
self.draw = turtle.RawTurtle(self.screen)
self.draw.pu()
self.screen.onclic... | |
Here we can choose different algorithms
# _get_split_mse _get_split_info
for split in unique), key=lambda x: x[0])
return mse, feature, split, split_avg
def _choose_category_point(self, X: List[List[str]], y: List[Num],
idx: List[int], feature: int):
"""Iterate each xi and classify x, y into two parts,
and the ... | |
(isClassification == False):
if (((n1*n2) != 0)):
newAcurracyValueToAdd = (1-(abs(n2-n1)/abs(n2)))
if (newAcurracyValueToAdd < 0):
newAcurracyValueToAdd = 0
predictionAcurracy = predictionAcurracy + newAcurracyValueToAdd
if (isClassification == True):
if (abs(n1) > abs(n2)): # n2 has to be the one with the highe... | |
<reponame>LaGauffre/SMCCompoMo<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
Created on Wed Sep 2 15:42:14 2020
@author: pierr
"""
import scipy.special as sp
import math as ma
import pandas as pd
import numpy as np
import scipy.stats as st
from scipy.optimize import minimize
def sim_gam_par(n, k, α, θ):
"""
Sample fr... | |
<reponame>daccordeon/CEonlyPony<gh_stars>0
"""Calculates the same set of injections for a set of networks.
Based on the old calculate_injections.py and gwbench's multi_network.py example script, this processes the injections (e.g. in data_raw_injections/) in union for each network in a set and saves the results (e.g. ... | |
widgets.MenuBox(
"menu_funcionario_vinculado_{0}".format(doce[2]),
I(_class="fas fa-ellipsis-v"),
widgets.MenuOption("Visualizar", **{
"_class": "botao_visualizar_funcionario wave_on_click",
"_data-id_funcionario": doce[2],
}),
onOpen=self.bind_menu_docente
),
**{"drag_and_drop": False}
)
)
html_botao_falt... | |
<reponame>jmm-montiel/Auto-PyTorch<gh_stars>1-10
import numpy as np
import os
import time
import shutil
import netifaces
import traceback
import logging
from hpbandster.core.nameserver import NameServer, nic_name_to_host
from hpbandster.core.result import logged_results_to_HBS_result
from autoPyTorch.pipeline.base.s... | |
batch_shape=(num_batches,))
else:
raise ValueError('Unknown rotation augmentation : ' +
cfg.augment_rotation)
# Scale
# Choose random scales for each example
min_s = cfg.augment_scale_min
max_s = cfg.augment_scale_max
if cfg.augment_scale_anisotropic:
s = tf.random.uniform((num_batches, 3), minval=min_s, ma... | |
<filename>img_utils.py
#-------------------------------------------------------------------------------
# Name: Image functions
# Purpose: Car damage analysis project
#
# Author: kol
#
# Created: 17.01.2020
# Copyright: (c) kol 2020
# Licence: MIT
#-----------------------------------------------------------------------... | |
'can_be_none'],
"['fortnite']['exec']['friend_remove']": [list, str, 'can_be_none'],
"['fortnite']['exec']['party_member_join']": [list, str, 'can_be_none'],
"['fortnite']['exec']['party_member_leave']": [list, str, 'can_be_none'],
"['fortnite']['exec']['party_member_confirm']": [list, str, 'can_be_none'],
"[... | |
# Add the list of possible values to the field som_nature
map_predefined_vals_to_fld(self.l_vertex, "som_typologie_nature", self.typo_nature_som)
# Add the list of possible values to the field som_precision_rattachement
map_predefined_vals_to_fld(self.l_vertex, "som_precision_rattachement", self.precision_class,... | |
matric datums in the stream, regardless of unit, which is recommended in nearly all cases. CloudWatch does not honor this property for graphs. Default: - All metric datums in the given metric stream
'''
props = aws_cdk.aws_cloudwatch.MetricOptions(
account=account,
color=color,
dimensions=dimensions,
dimensions_m... | |
'zh': u('\u6cb3\u5317\u7701\u6ca7\u5dde\u5e02')},
'861386650':{'en': 'Tongling, Anhui', 'zh': u('\u5b89\u5fbd\u7701\u94dc\u9675\u5e02')},
'861386651':{'en': 'Tongling, Anhui', 'zh': u('\u5b89\u5fbd\u7701\u94dc\u9675\u5e02')},
'861386652':{'en': 'Chuzhou, Anhui', 'zh': u('\u5b89\u5fbd\u7701\u6ec1\u5dde\u5e02')},
'86... | |
vertical position [m] for calculation of power density distribution vs horizontal and vertical position'],
['pw_ry', 'f', 0.015, 'range of vertical position [m] for calculation of power density distribution vs horizontal and vertical position'],
['pw_ny', 'i', 100, 'number of points vs vertical position for calculati... | |
<gh_stars>1-10
import numpy as np
import copy
import math
import scipy
from susi import props
from susi import sampling
from .result import result_obj, strurel_result
from scipy.stats import norm
class strurel(object):
'''
###################################################################
Description:
The... | |
<gh_stars>1-10
#!/usr/bin/env python
# Copyright 2014-2020 The PySCF Developers. 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/LICENS... | |
<filename>openfold/model/primitives.py
# Copyright 2021 AlQuraishi Laboratory
# Copyright 2021 DeepMind Technologies Limited
#
# 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.apa... | |
Parameters
----------
row : int
Row number to modify
col_name : str
Name of the Column to modify
val : col.info.dtype
Value to insert at specified row of col
'''
self.remove_row(row, reorder=False)
key = [c[row] for c in self.columns]
key[self.col_position(col_name)] = val
self.data.add(tuple(key), row)
d... | |
= np.sum(~wall)
weight[:] = 0
if nnotwall > 0:
weight[~wall] = (1 / nnotwall)
else:
raise RuntimeError('No non-wall cells surrounding cell. '
'Please report error.')
weight = weight / np.sum(weight)
else:
raise RuntimeError('Water sum(weight) less than 0. '
'Please report error.')
# final sanity check
if... | |
"""Specifies that no values are allowed for this parameter or quantity."""
subclass = None
superclass = None
def __init__(self, valueOf_=None):
self.valueOf_ = valueOf_
def factory(*args_, **kwargs_):
if NoValues.subclass:
return NoValues.subclass(*args_, **kwargs_)
else:
return NoValues(*args_, **kwargs_)
fa... | |
# coding: utf-8
"""
ELEMENTS API
The version of the OpenAPI document: 2
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from elements_sdk.configuration import Configuration
class FilePartialUpdate(object):
"""NOTE: This class is auto generated by OpenAPI Gene... | |
xmm15, xmmword ptr [r8]')
Buffer = b'\xc4\x01\x81\xc2\x00\x0c\x11\x11\x11\x11\x11\x11\x11\x11\x11'
myDisasm = DISASM()
myDisasm.Archi = 64
Target = create_string_buffer(Buffer,len(Buffer))
myDisasm.EIP = addressof(Target)
InstrLength = Disasm(addressof(myDisasm))
assert_equal(myDisasm.Argument1.ArgType, REGISTE... | |
# Copyright 2021 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | |
<reponame>PatrickKoss/BettingPrediction<filename>BettingRestAPI/csgo_api/views.py<gh_stars>0
import json
from datetime import datetime, timedelta
from threading import Thread
import numpy as np
from django.conf import settings
from django.db import connection
from rest_framework import status
from rest_framework.respo... | |
self.dummy_logger, verify=False)
self.assertEqual(self.processed_prometheus_data_example, actual_output)
@mock.patch("src.monitors.node.chainlink.get_prometheus_metrics_data")
def test_get_prom_data_does_not_change_last_prom_sourced_used_if_online(
self, mock_get_prometheus_metrics_data) -> None:
mock_get_prometh... | |
buf.write("\2\u0f99\u029e\3\2\2\2\u0f9a\u0f9b\5\u03f1\u01f9\2\u0f9b")
buf.write("\u0f9c\5\u03d7\u01ec\2\u0f9c\u0f9d\5\u03ef\u01f8\2\u0f9d")
buf.write("\u0f9e\5\u03df\u01f0\2\u0f9e\u02a0\3\2\2\2\u0f9f\u0fa0")
buf.write("\5\u03f1\u01f9\2\u0fa0\u0fa1\5\u03df\u01f0\2\u0fa1\u0fa2")
buf.write("\5\u03fb\u01fe\2\u0fa2\u0fa... | |
% name.lower(),
'return 0;',
])
elif type in [ FieldDescriptor.TYPE_DOUBLE, FieldDescriptor.TYPE_FLOAT ]:
lines.extend([
'if (!lua_isnumber(L, 2)) return luaL_error(L, "passed value cannot be converted to a number");',
'lua_Number n = lua_tonumber(L, 2);',
'm->set_%s(n);' % name.lower(),
'return 0;',
])
eli... | |
<reponame>mabrahamdevops/python_notebooks
import glob
from ipywidgets import widgets
import os
import re
import shutil
from collections import defaultdict
from IPython.core.display import HTML
from IPython.display import display
import pandas as pd
import subprocess
from __code.file_handler import make_ascii_file_from... | |
name):
try:
inf_attr = getattr(_cl.image_info, name.upper())
except AttributeError:
raise AttributeError("%s has no attribute '%s'"
% (type(self), name))
else:
return self.event.get_image_info(inf_attr)
def image_shape(self):
if self.type == mem_object_type.IMAGE2D:
return (self.width, self.height)
elif sel... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.