id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
12708 | from __future__ import absolute_import
# flake8: noqa
# import apis into api package
import speechpro.cloud.speech.synthesis.rest.cloud_client.api.session_api
import speechpro.cloud.speech.synthesis.rest.cloud_client.api.synthesize_api
|
12714 | import socket
import requests
import json
import xml.etree.ElementTree as ET
class Camera(object):
def __init__(self):
"""
create camera object
"""
self.xml_url = self.discover()
self.name, self.api_version, self.services = self.connect(self.xml_url)
self.camera_end... |
12724 | import pandas as pd
import smartplots3_setup
def createSetup(name,expansion_factor,percapita_factor,plot_size,settings):
plt_setup_smart={
'name': name,
'expansion_factor':expansion_factor,
'percapita_factor':percapita_factor,
'scenarios_itr': [],
'scenarios_id':[],
... |
12726 | import os
import sys
def main():
print 'const char* ya_get_symbolizer_gen() {'
print ' return "{}";'.format(os.path.join(os.path.dirname(sys.argv[1]), 'llvm-symbolizer'))
print '}'
if __name__ == '__main__':
main()
|
12735 | from django.contrib.auth import SESSION_KEY
from django.core.cache import cache
from django.conf import settings
from django.http import HttpResponse, HttpResponseServerError
from proxy_server.response import AJAX_REQUEST
import httplib, json, proxy_server
def invoke_backend_service(method, function_path, json_data=di... |
12787 | from mysql.connector.pooling import MySQLConnectionPool
from ._connect import _parse_kwargs, _patch_MySQLConnection
class MySQLConnectionPool(MySQLConnectionPool):
def set_config(self, **kwargs):
kwargs = _parse_kwargs(kwargs)
super(MySQLConnectionPool, self).set_config(**kwargs)
def add_con... |
12812 | from django.db import models
class SoftDeleteManager(models.Manager):
def save_soft_delete(self):
self.is_deleted = True
self.save()
return True
def get_soft_delete(self):
return self.filter(is_deleted=True)
def get_unsoft_delete(self):
return self.filter(is_delet... |
12849 | from core.terraform.resources import BaseTerraformVariable
class TerraformVariable(BaseTerraformVariable):
"""
Base resource class for Terraform tfvar variable
Attributes:
variable_dict_input (dict/none): Var dict values
available_args (dict): Instance configurations
variable_type... |
12871 | import os
scrapy_project_path = '/Users/kingname/book/chapter_12/DeploySpider'
os.chdir(scrapy_project_path) #切换工作区，进入爬虫工程根目录执行命令
os.system('scrapyd-deploy')
import json
import time
import requests
start_url = 'http://45.76.110.210:6800/schedule.json'
start_data = {'project': 'DeploySpider',
'spider':... |
12891 | import traceback
import re
import sys
import logging
"""
**********
Note by wvmarle:
This file contains the complete code from chained_exception.py plus the
error handling code from GlacierWrapper.py, allowing it to be used in other
modules like glaciercorecalls as well.
**********
"""
class GlacierException(Except... |
12898 | from ..alert_code import AlertCode
class EVMNodeAlertCode(AlertCode):
NoChangeInBlockHeight = 'evm_node_alert_1'
BlockHeightUpdatedAlert = 'evm_node_alert_2'
BlockHeightDifferenceIncreasedAboveThresholdAlert = 'evm_node_alert_3'
BlockHeightDifferenceDecreasedBelowThresholdAlert = 'evm_node_alert_4'
... |
12910 | import discord
def check(ctx):
def inner(m):
return m.author == ctx.author
return inner
def Membercheck(ctx):
def inner(m):
return m.author == ctx.guild.me
return inner
def warn_permission(ctx, Member):
if isinstance(ctx.channel, discord.TextChannel):
return ctx.author.guild_permissions.ma... |
12921 | import numpy as np
from mpi4py import MPI
from src.imagine.goal_generator.simple_sentence_generator import SentenceGeneratorHeuristic
from src import logger
class GoalSampler:
def __init__(self,
policy_language_model,
reward_language_model,
goal_dim,
... |
12993 | class Config:
# helps to store settings for an experiment.
def __init__(self, _experiments_folder_path='experiments', _dataset_name='dataset', _column_names='unknown',
_types={1:'integer', 2:'string', 3:'float', 4:'boolean', 5:'gender', 6:'unknown', 7:'date-iso-8601', 8:'date-eu', 9:'date-non-s... |
13008 | import random
import cv2
import numpy as np
from augraphy.base.augmentation import Augmentation
class NoiseTexturize(Augmentation):
"""Creates a random noise based texture pattern to emulate paper textures.
Consequently applies noise patterns to the original image from big to small.
:param sigma_range:... |
13053 | from abc import abstractproperty
from ..backend_config.bucket_config import S3BucketConfig
from ..storage.helper import StorageHelper
class SetupUploadMixin(object):
log = abstractproperty()
storage_uri = abstractproperty()
def setup_upload(
self, bucket_name, host=None, access_key=None, sec... |
13057 | import pickle
import pandas as pd
# cat aa ab ac > dataset.pkl from https://github.com/zhougr1993/DeepInterestNetwork
with open('dataset.pkl', 'rb') as f:
train_set = pickle.load(f, encoding='bytes')
test_set = pickle.load(f, encoding='bytes')
cate_list = pickle.load(f, encoding='bytes')
user_count, i... |
13061 | import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
from sklearn.datasets import make_blobs
from sklearn.mixture import GaussianMixture
from sklearn.cluster import KMeans
from matplotlib.patches import Ellipse
# For reproducibility
np.random.seed(1000)
nb_samples = 300
nb_centers = 2
if __na... |
13091 | import torch
import torch.nn as nn
import neuron.ops as ops
from neuron.config import registry
@registry.register_module
class ReID_Metric(nn.Module):
def __init__(self, metric_cls, metric_rank):
super(ReID_Metric, self).__init__()
self.metric_cls = metric_cls
self.metric_rank = metr... |
13118 | import math
# Modify the parameters here
UNROLL_FACTOR = 32
DATA_T = 'unsigned short'
# Generate the code
data_type = DATA_T
level = int(math.log2(UNROLL_FACTOR))
for layer in range(level - 1, -1, -1):
pair = int(math.pow(2, layer))
for i in range(pair):
# data_t tmp_[layer]_[pair] = tmp_[layer+1]_[pa... |
13173 | from .utils import (get_prescription, get_attributes, get_group)
from .models import Disease, Result, Score, Question, SurveyResponse
from .analysis import cardio_risk_group, diabetes_risk_group, stroke_risk_group
from statistics import mean
from celery import shared_task
@shared_task
def worker(session_id):
df, ... |
13177 | from functools import wraps
from collections import Iterable
from django.conf import settings
from django.shortcuts import render
from django.core.exceptions import PermissionDenied
from django.utils.decorators import available_attrs
from django.utils.encoding import force_str
from django.utils.six.moves.urllib.parse i... |
13211 | from discord.ext.commands import BadArgument
class InvalidLength(BadArgument):
"""This exception is thrown whenever a invalid length was provided"""
def __init__(self, my_name, _min=None, _max=None, *args: object) -> None:
if _min is not None and _max is not None:
err = "Length of '" + my_n... |
13218 | from flask import Flask
from flask_restful_swagger.swagger import SwaggerRegistry
try:
from unittest.mock import patch
except ImportError:
from mock import patch
@patch("flask_restful_swagger.swagger._get_current_registry")
@patch("flask_restful_swagger.swagger.render_homepage")
def test_get_swagger_registr... |
13265 | from netCDF4 import Dataset
import matplotlib
import matplotlib.pyplot as plt
from matplotlib.patches import Polygon
from matplotlib.collections import PatchCollection
import matplotlib.cm as cm
import numpy as np
#-------------------------------------------------------------
def plot_subfigure(axis, array, nCells, n... |
13275 | import engine
print("Python: Script 2")
class Rotation(metaclass=engine.MetaComponent):
def __init__(self):
self.trans = 5
result = engine.query(Color)
print("Python: Query colors from Script 2")
for c in result:
c.string()
print("--------------------")
|
13335 | import os
import angr
test_location = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', '..', 'binaries', 'tests')
def test_vtable_extraction_x86_64():
p = angr.Project(os.path.join(test_location, "x86_64", "cpp_classes"), auto_load_libs=False)
vtables_sizes = {0x403cb0: 24, 0x403cd8: 1... |
13346 | from threading import Lock
from time import time
from ui import Menu
from ui.utils import clamp, check_value_lock, to_be_foreground
class NumberedMenu(Menu):
"""
This Menu allows the user to jump to entries using the numpad. If the menu is 10 entries or less
the navigation is instant. Otherwise, it lets ... |
13383 | disable_gtk_binaries = True
def gtk_dependent_cc_library(**kwargs):
if not disable_gtk_binaries:
native.cc_library(**kwargs)
def gtk_dependent_cc_binary(**kwargs):
if not disable_gtk_binaries:
native.cc_binary(**kwargs)
|
13390 | from typing import Callable, Optional, Sequence, Tuple, Union
import numpy
from dexp.processing.utils.nd_slice import nd_split_slices, remove_margin_slice
from dexp.processing.utils.normalise import Normalise
from dexp.utils import xpArray
from dexp.utils.backends import Backend
def scatter_gather_i2i(
function... |
13407 | from .config import add_panopticfcn_config
from .panoptic_seg import PanopticFCN
from .build_solver import build_lr_scheduler
|
13468 | import os
import scipy
import numpy as np
import pandas as pd
import torch
from torch.autograd import Variable
def predict_batch(net, inputs):
v = Variable(inputs.cuda(), volatile=True)
return net(v).data.cpu().numpy()
def get_probabilities(model, loader):
model.eval()
return np.vstack(predict_batch... |
13483 | import cv2
cv2.setNumThreads(0)
cv2.ocl.setUseOpenCL(False)
import numpy as np
import math
from functools import wraps
def clip(img, dtype, maxval):
return np.clip(img, 0, maxval).astype(dtype)
def clipped(func):
"""
wrapper to clip results of transform to image dtype value range
"""
... |
13491 | test = int(input())
while test > 0 :
n,k = map(int,input().split())
p = list(map(int,input().split()))
original = 0
later = 0
for i in p :
if i > k :
later += k
original += i
else :
later += i
original += i
print(orig... |
13503 | from .test_tensorboard_rest_api import TestTensorboardRestAPI
from .test_tensorboard_server import TestTensorboardServer
from .test_tensorboard_endpoints import TestTensorboardEndpoint |
13511 | from scapy.fields import ByteField, ShortField
from scapy.packet import Packet
class TPKT(Packet):
name = "TPKT"
fields_desc = [ByteField("version", 3),
ByteField("reserved", 0),
ShortField("length", 0x0000)]
|
13547 | import telnetlib
import time
def send_command_telnetlib(ipaddress, username, password, enable_pass, command):
t = telnetlib.Telnet("192.168.100.1")
t.read_until(b"Username:")
t.write(username.encode("ascii") + b"\n")
t.read_until(b"Password:")
t.write(password.encode("ascii") + b"\n")
t.writ... |
13563 | import io
import pytest
import pytorch_pfn_extras as ppe
from pytorch_pfn_extras.training.extensions import _ipython_module_available
from pytorch_pfn_extras.training.extensions.log_report import _pandas_available
@pytest.mark.skipif(
not _ipython_module_available or not _pandas_available,
reason="print rep... |
13567 | import numpy as np
def get_conf_thresholded(conf, thresh_log_conf, dtype_np):
"""Normalizes a confidence score to (0..1).
Args:
conf (float):
Unnormalized confidence.
dtype_np (type):
Desired return type.
Returns:
confidence (np.float32):
Norma... |
13585 | import string
from ...errors import SimValueError
from . import MemoryMixin
class HexDumperMixin(MemoryMixin):
def hex_dump(self, start, size, word_size=4, words_per_row=4, endianness="Iend_BE",
symbolic_char='?', unprintable_char='.', solve=False, extra_constraints=None,
inspe... |
13592 | import idaapi
from idaapi import *
inifinite_loops = [
b"\x00\xbf\xfd\xe7", # loop: nop; b loop
b"\xfe\xe7", # loop: b loop
]
whitelist = [
"Reset_Handler",
"main"
]
def detect_noret_funcs():
exit_locs_name_pairs = []
for func_addr in Functions():
if get_func_flags(func_addr) & idaapi... |
13606 | class Acl(object):
def __init__(self, read_acl):
self.read_acl = read_acl
@staticmethod
def from_acl_response(acl_response):
'''Takes JSON response from API and converts to ACL object'''
if 'read' in acl_response:
read_acl = AclType.from_acl_response(acl_response['read']... |
13622 | import os
from pathlib import Path
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription, SetEnvironmentVariable, Shutdown
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch_ros.a... |
13668 | from trainer.normal import NormalTrainer
from config import cfg
def get_trainer():
pair = {
'normal': NormalTrainer
}
assert (cfg.train.trainer in pair)
return pair[cfg.train.trainer]()
|
13724 | import _plotly_utils.basevalidators
class ConnectorValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(self, plotly_name="connector", parent_name="waterfall", **kwargs):
super(ConnectorValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... |
13738 | import json
import regex
import nltk.data
from nltk.tokenize import word_tokenize
import sys
sent_detector = nltk.data.load('tokenizers/punkt/english.pickle')
def tokenize(string):
return word_tokenize(string)
def split_paragraphs(text):
"""
remove urls, lowercase all words and separate paragraphs
""... |
13744 | from zzcore import StdAns, mysakuya
import requests
class Ans(StdAns):
def GETMSG(self):
msg=''
try:
msg += xs()
except:
msg += '可能是机器人笑死了！'
return msg
def xs():
url = "http://api-x.aya1.xyz:6/"
text = requests.get(url=url).text
return text
|
13751 | import json
import math
from dataclasses import dataclass
from datetime import timedelta
from enum import Enum
from pathlib import Path
from typing import List, Optional
import numpy as np
from vad.util.time_utils import (
format_timedelta_to_milliseconds,
format_timedelta_to_timecode,
parse_timecode_to_t... |
13776 | from ..utils import run
import logging
logger = logging.getLogger(__name__)
def process_one_package(path, package, python_version="3"):
"""Get details about one precise python package in the given image.
:param path: path were the docker image filesystem is expanded.
:type path: string
:param pa... |
13789 | from ansible.parsing.yaml.objects import AnsibleMapping
from ansiblelater.standard import StandardBase
class CheckScmInSrc(StandardBase):
sid = "ANSIBLE0005"
description = "Use `scm:` key rather than `src: scm+url`"
helptext = "usage of `src: scm+url` not recommended"
version = "0.1"
types = ["r... |
13806 | from django.core.urlresolvers import resolve
from django.shortcuts import render,redirect,HttpResponse
from kingadmin.permission_list import perm_dic
from django.conf import settings
def perm_check(*args,**kwargs):
request = args[0]
resolve_url_obj = resolve(request.path)
current_url_name = resolve_url_o... |
13821 | import os
import glob
import torch
import numpy as np
# from PIL import Image, UnidentifiedImageError
from torch.utils.data import Dataset
from torchvision.datasets import MNIST
class ToyDataset(Dataset):
def __init__(self, N_K=50, K=4, X=None, Y=None):
super().__init__()
if X is not None:
self.data,... |
13860 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
import tensorflow as tf
from fewshot.models.kmeans_utils import compute_logits
from fewshot.models.model import Model
from fewshot.models.refine_model import RefineModel
from fewshot.models... |
13891 | from pydantic import BaseModel, Field, EmailStr
class PostSchema(BaseModel):
id: int = Field(default=None)
title: str = Field(...)
content: str = Field(...)
class Config:
schema_extra = {
"example": {
"title": "Securing FastAPI applications with JWT.",
... |
13937 | import os
from fabric.api import env, run, sudo, execute, local, settings, \
hide, open_shell, parallel, serial, put
from fabric.decorators import hosts
from fabric.contrib.console import confirm
import fabric.colors as fab_col
import paramiko
import getpass
from tabulate import tabulate
file_hosts = "hosts.txt"
... |
13952 | import sys
from . import app
sys.path.append(str(app.config['LIB_PATH']))
from musicautobot.music_transformer import *
from musicautobot.config import *
from flask import Response, send_from_directory, send_file, request, jsonify
from .save import to_s3
import torch
import traceback
torch.set_num_threads(4)
data = ... |
13953 | from __future__ import absolute_import, division, print_function
from tests.core import mock
from trakt import Trakt
from httmock import HTTMock
import pytest
def test_likes():
with HTTMock(mock.fixtures, mock.unknown):
with Trakt.configuration.auth('mock', 'mock'):
likes = Trakt['users'].li... |
13988 | from django.core.exceptions import ValidationError
from django.db import models
from django.utils.functional import cached_property
from django.utils.translation import ugettext_lazy as _
from jsonfield import JSONField
from orchestra.models.fields import PrivateFileField
from orchestra.models.queryset import group_by... |
14006 | import pytest
import os
import memcnn.experiment.factory
from memcnn.config import Config
def test_get_attr_from_module():
a = memcnn.experiment.factory.get_attr_from_module('memcnn.experiment.factory.get_attr_from_module')
assert a is memcnn.experiment.factory.get_attr_from_module
def test_load_experiment_... |
14018 | import copy, os
from ansible import errors
def expand_config(config_data):
try:
all_data = copy.deepcopy(expand_envs(config_data))
return all_data
except Exception, e:
raise errors.AnsibleFilterError(
'expand_config plugin error: {0}, config_data={1}'.format(
str(e),
... |
14047 | def formstash_to_querystring(formStash):
err = []
for (k, v) in formStash.errors.items():
err.append(("%s--%s" % (k, v)).replace("\n", "+").replace(" ", "+"))
err = sorted(err)
err = "---".join(err)
return err
class _UrlSafeException(Exception):
@property
def as_querystring(self):
... |
14060 | from __future__ import absolute_import, print_function, division
import unittest
from pony.orm.core import *
from pony.orm.core import local
from pony.orm.tests.testutils import *
from pony.orm.tests import setup_database, teardown_database
class TestGeneratorDbSession(unittest.TestCase):
def setUp(self):
... |
14087 | import os
import tensorflow as tf
from util import masked_softmax
class PolicyNetwork(object):
""" Policy Function approximator. """
def __init__(self, input_size, output_size, learning_rate=0.001, summaries_dir=None, scope="policy_estimator"):
with tf.variable_scope(scope):
# Writes Tens... |
14118 | from marshmallow import fields, Schema
from .provision import ProvisionActionSchema
class InstanceSchema(Schema):
type = fields.String(required=True)
image_id = fields.String(required=True)
availability_zone = fields.String(required=True)
ebs_optimized = fields.Boolean()
iam_fleet_role = fields.String(required=... |
14168 | import numpy as np
def load_mnist():
# the data, shuffled and split between train and test sets
from keras.datasets import mnist
(x_train, y_train), (x_test, y_test) = mnist.load_data()
x = np.concatenate((x_train, x_test))
y = np.concatenate((y_train, y_test))
x = x.reshape(-1, 28, 28, 1).as... |
14187 | import pytest
from brownie import Wei
@pytest.fixture(scope="function", autouse=True)
def shared_setup(fn_isolation):
pass
@pytest.fixture(scope='module')
def nocoiner(accounts, lido):
assert lido.balanceOf(accounts[9]) == 0
return accounts[9]
@pytest.fixture(scope='module')
def ape(accounts):
ret... |
14200 | import sys, requests, json, time
METRIC_NAME = "builtin:billing.ddu.metrics.byEntity"
PAGE_SIZE = 500
sys.tracebacklimit = 0
# python .\dduConsumptionPerMZ.py 2020-08-01T12:00:00+02:00 2020-08-10T12:00:00+02:00 https://mySampleEnv.live.dynatrace.com/api/ abcdefghijklmnop 60
# python .\dduConsumptionPerMZ.py 2020-08-0... |
14206 | import os
import matplotlib as mpl
import torch
import torchvision
from data_management import IPDataset, Jitter, SimulateMeasurements
from networks import IterativeNet, Tiramisu
from operators import Radon
# ----- load configuration -----
import config # isort:skip
# ----- global configuration -----
mpl.use("agg... |
14217 | import pytest
from astropy.io import fits
import numpy as np
from lightkurve.io.kepseismic import read_kepseismic_lightcurve
from lightkurve.io.detect import detect_filetype
@pytest.mark.remote_data
def test_detect_kepseismic():
"""Can we detect the correct format for KEPSEISMIC files?"""
url = "https://arch... |
14234 | import os
import json
from torchblocks.metrics import SequenceLabelingScore
from torchblocks.trainer import SequenceLabelingTrainer
from torchblocks.callback import TrainLogger
from torchblocks.processor import SequenceLabelingProcessor, InputExample
from torchblocks.utils import seed_everything, dict_to_text, bu... |
14242 | import unittest
import os
from six import StringIO
from package_manager import util
CHECKSUM_TXT = "1915adb697103d42655711e7b00a7dbe398a33d7719d6370c01001273010d069"
DEBIAN_JESSIE_OS_RELEASE = """PRETTY_NAME="Distroless"
NAME="Debian GNU/Linux"
ID="debian"
VERSION_ID="8"
VERSION="Debian GNU/Linux 8 (jessie)"
HOME_UR... |
14283 | import struct
from six import binary_type
from capnpy import ptr
from capnpy.packing import mychr
from capnpy.printer import print_buffer
class SegmentBuilder(object):
def __init__(self, length=None):
self.buf = bytearray()
def get_length(self):
return len(self.buf)
def as_string(self):... |
14302 | from .model import DeepLabResNetModel
from .hc_deeplab import HyperColumn_Deeplabv2
from .image_reader import ImageReader, read_data_list, get_indicator_mat, get_batch_1chunk, read_an_image_from_disk, tf_wrap_get_patch, get_batch
from .utils import decode_labels, inv_preprocess, prepare_label |
14355 | import math
def fuel_needed(mass):
return math.floor(int(mass)/3 - 2)
def fuel_needed_recursive(mass):
fuel_needed_i = fuel_needed(mass)
if (fuel_needed_i <= 0):
return 0
return fuel_needed_i + fuel_needed_recursive(fuel_needed_i)
total_fuel = 0
total_fuel_recursive = 0
with open("input.txt"... |
14372 | import json
def get_all_pets():
pets = read_from_file()
pets_in_store = []
for k, v in pets.items():
current_pet = {"id": k, **v}
pets_in_store.append(current_pet)
return pets
def remove_pet(id):
pets = read_from_file()
del pets[id]
write_to_file(pets)
def update_pet(i... |
14422 | from .base import *
class Input(Layer):
def __init__(self, input_shape: Union[List, Tuple], **kwargs):
super(Input, self).__init__(input_shape=input_shape, **kwargs)
self._shape = input_shape
def call(self, x: F.Tensor, *args, **kwargs) -> F.Tensor:
self._data = x
return self.... |
14502 | import struct
import numpy as np
import pandas as pd
df_train = pd.read_csv('../data/train_data.csv')
df_valid = pd.read_csv('../data/valid_data.csv')
df_test = pd.read_csv('../data/test_data.csv')
with open('result.dat', 'rb') as f:
N, = struct.unpack('i', f.read(4))
no_dims, = struct.unpack('i', f.read(4))
... |
14517 | import grasp_net, grasp_params, h5py, aolib.img as ig, os, numpy as np, aolib.util as ut
net_pr = grasp_params.im_fulldata_v5()
net_pr = grasp_params.gel_im_fulldata_v5()
checkpoint_file = '/home/manu/ros_ws/src/manu_research/manu_sawyer/src/tensorflow_model_is_gripping/training/net.tf-6499'
gpu = '/gpu:0'
db_file = ... |
14534 | from flask import Blueprint
from apps.auth.business.wxlogin import WxLoginBusiness
from apps.auth.extentions import validation, parse_json_form
from library.api.render import json_detail_render
wxlogin = Blueprint("wxlogin", __name__)
@wxlogin.route('/', methods=['POST'])
@validation('POST:wx_user_code')
def wxuser... |
14542 | import pytest
from weaverbird.backends.sql_translator.metadata import SqlQueryMetadataManager
from weaverbird.backends.sql_translator.steps import translate_filter
from weaverbird.backends.sql_translator.types import SQLQuery
from weaverbird.pipeline.conditions import ComparisonCondition
from weaverbird.pipeline.steps... |
14564 | from .repository import Repository
from .manager import Manager
__all__ = ["Manager", "Repository", "__version__"]
__version__ = "0.2.0"
|
14583 | from OpenGL.arrays import vbo
from OpenGL.GLES2.VERSION import GLES2_2_0
from OpenGL.GLES2.OES import mapbuffer
class Implementation( vbo.Implementation ):
"""OpenGL-based implementation of VBO interfaces"""
def __init__( self ):
for name in self.EXPORTED_NAMES:
for source in [ GLES2_2_0, m... |
14595 | from __future__ import print_function
import os, sys
import pickle
import time
import glob
import numpy as np
import torch
from model import PVSE
from loss import cosine_sim, order_sim
from vocab import Vocabulary
from data import get_test_loader
from logger import AverageMeter
from option import parser, verify_input... |
14616 | import time
from adafruit_circuitplayground.express import cpx
import simpleio
cpx.pixels.auto_write = False
cpx.pixels.brightness = 0.3
# Set these based on your ambient temperature for best results!
minimum_temp = 24
maximum_temp = 30
while True:
# temperature value remapped to pixel position
peak = simple... |
14622 | import numpy as np
from torch import nn
def layer_init(layer, std=np.sqrt(2), bias_const=0.0):
"""
Simple function to init layers
"""
nn.init.orthogonal_(layer.weight, std)
nn.init.constant_(layer.bias, bias_const)
return layer
|
14709 | import numpy as np
import matplotlib.pyplot as mp
import matplotlib.cm as mpcm
import matplotlib.colors as mpc
import scipy.stats as ss
# plotting settings
lw = 1.5
mp.rc('font', family = 'serif')
mp.rcParams['text.latex.preamble'] = [r'\boldmath']
mp.rcParams['axes.linewidth'] = lw
mp.rcParams['lines.linewidth'] = lw... |
14738 | import argparse
import os
import sys
import numpy as np
from scipy import misc
import cv2
import torch
import torch.nn as nn
from torch.autograd import Variable
from torchvision.models import vgg16, vgg19
from torchvision.utils import save_image
from lib.gradients import GradCam, GuidedBackpropGrad
from lib.image_uti... |
14771 | from django.views.generic import TemplateView
from django_tables2.config import RequestConfig
from django_tables2_column_shifter.tables import (
ColumnShiftTableBootstrap2,
ColumnShiftTableBootstrap3,
ColumnShiftTableBootstrap4,
ColumnShiftTableBootstrap5,
)
from .models import Author, Book
from .tabl... |
14772 | class Workset(WorksetPreview,IDisposable):
""" Represents a workset in the document. """
@staticmethod
def Create(document,name):
"""
Create(document: Document,name: str) -> Workset
Creates a new workset.
document: The document in which the new instance is created.
name: The wo... |
14795 | import argparse, pdb
import gym
import numpy as np
import os
import pickle
import random
import torch
import scipy.misc
from gym.envs.registration import register
parser = argparse.ArgumentParser()
parser.add_argument('-display', type=int, default=0)
parser.add_argument('-seed', type=int, default=1)
parser.add_argumen... |
14822 | from demos.setup import np, plt
from compecon import BasisChebyshev, BasisSpline
from compecon.tools import nodeunif
__author__ = 'Randall'
# DEMAPP06 Chebychev and cubic spline derivative approximation errors
# Function to be approximated
def f(x):
g = np.zeros((3, x.size))
g[0], g[1], g[2] = np.exp(-x),... |
14860 | from .pressureprofile import PressureProfile
import numpy as np
class ArrayPressureProfile(PressureProfile):
def __init__(self, array, reverse=False):
super().__init__(self.__class__.__name__, array.shape[-1])
if reverse:
self.pressure_profile = array[::-1]
else:
... |
14878 | import copy
import logging
import os
from typing import Dict, List, Tuple
import checksumdir
import imageio
import numpy as np
import torch
from torch.utils.data import DataLoader, Dataset
from tqdm import tqdm
from ..adapter import download_object
logger = logging.getLogger("fastface.dataset")
class _IdentitiyTra... |
14909 | import json
import logging
from django.core.management.base import BaseCommand
from django.db import transaction
from osf.models import AbstractProvider, PreprintProvider, Preprint, Subject
from osf.models.provider import rules_to_subjects
from scripts import utils as script_utils
from osf.models.validators import va... |
14943 | import os
def get_dirs():
cwd = os.path.dirname(os.path.realpath(__file__))
local_savedir = cwd
local_datadir = cwd
local_wandbdir = cwd
return local_savedir, local_datadir, local_wandbdir
def configure_logging(config, name, model):
if config['wandb_on']:
import wandb
wandb... |
14945 | import torch
from torch import nn
from transformers import BertTokenizer, VisualBertModel, VisualBertConfig
import numpy as np
class VisualBertClassifier(nn.Module):
def __init__(self,
visual_bert_model,
num_classes: int = 8,
initial_visual_embedding_dim: int = 9... |
14969 | from akagi.data_source import DataSource
from akagi.data_file import DataFile
class SpreadsheetDataSource(DataSource):
'''SpreadsheetSource replesents a data on Google Spreadsheets
'''
def __init__(self, sheet_id, sheet_range='A:Z', no_cache=False):
self._sheet_id = sheet_id
self._sheet_r... |
14972 | from girder.exceptions import ValidationException
from girder.utility import setting_utilities
class PluginSettings:
AUTO_COMPUTE = 'hashsum_download.auto_compute'
@setting_utilities.default(PluginSettings.AUTO_COMPUTE)
def _defaultAutoCompute():
return False
@setting_utilities.validator(PluginSettings.AU... |
14987 | import os
from PIL import Image
import seaborn as sn
import matplotlib.pyplot as plt
import torch
import torch.nn.functional as F
from sidechainnet.utils.sequence import ProteinVocabulary
from einops import rearrange
# general functions
def exists(val):
return val is not None
def default(val, d):
return va... |
15007 | from . import (
yaw,
layout,
base_COE,
optimization,
layout_height,
power_density,
yaw_wind_rose,
power_density_1D,
yaw_wind_rose_parallel,
)
|
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