id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
428045 | import numpy as np
import torch
from torch import nn
from torch.nn import functional as F
from .resnet import resnet18
from copy import deepcopy
class UniPlanner(nn.Module):
def __init__(self, bev_planner,
pixels_per_meter=2, crop_size=64, x_offset=0, y_offset=0.75,
feature_x_jitter=1, feature_angl... |
428059 | import copy, re
from sets import Set
# NOTE THAT ALL FUNCTIONS HERE WORK BY RETURNING A NEW ARRAY, THERE ARE NO IN-PLACE MODIFICATION METHODS
# ALSO KEEP IN MIND THAT COLUMNS AND ROW INDICES START FROM ZERO (ie. column A -> 0, E -> 4, Z -> 25, etc)
# Scans a CSV line, keeping track of separators and quotes
def scanline... |
428090 | from build import models, reader
from build import labels as categories
from sklearn.model_selection import train_test_split as tts
from sklearn.metrics import classification_report
docs = reader.fileids(categories=categories)
labels = [reader.categories(fileids=[fid])[0] for fid in docs]
train_docs, test_docs, train... |
428111 | import pyqtgraph as pg
class BlankAxis(pg.AxisItem):
#Will need to override other functions in the future for this one
#Right now it chooses weird stupid places for ticks
def __init__(self, orientation, pen=None, linkView=None, parent=None, maxTickLength=-5, showValues=True):
pg.AxisItem.__init__(... |
428173 | from fuzzconfig import FuzzConfig
import nonrouting
import fuzzloops
import nets
import pytrellis
import re
cfg = FuzzConfig(job="PLC2WRE", family="ECP5", device="LFE5U-25F", ncl="empty.ncl", tiles=["R19C33:PLC2"])
def main():
pytrellis.load_database("../../../database")
cfg.setup()
empty_bitfile = cfg.b... |
428181 | from flask import Blueprint
auth = Blueprint(
'auth', __name__, template_folder='templates', static_folder='static')
from . import views
|
428186 | import os
from koursaros.utils.database.psql import Conn
from koursaros.utils.misc import gb_free_space
from koursaros.utils.bucket import bucket_contains, download_and_unzip
from kctl.logger import set_logger
from .data import *
logger = set_logger('MODELS')
class Model(object):
def __init__(self, config, train... |
428190 | import sys
import mgp
try:
import networkx as nx
import numpy # noqa E401
import scipy # noqa E401
except ImportError as import_error:
sys.stderr.write(
(
f"NOTE: Please install networkx, numpy, scipy to be able to "
f"use proxied NetworkX algorithms. E.g., CALL nxalg.... |
428240 | from collections import namedtuple
from unittest.mock import call, patch, MagicMock
from kubernetes.client.rest import ApiException
import pytest
from nephos.helpers.executer import Executer
class TestExecuter:
def test_executer_init(self):
executer = Executer("a-pod", "a-namespace")
assert execu... |
428258 | import os, sys
from mapslicer import version
# py2exe - needs OSGeo4W with GDAL 1.6
if sys.platform in ['win32','win64']:
from distutils.core import setup
import glob
import py2exe
sys.path.insert(0, 'C:\\OSGeo4W\\apps\\gdal-16\\pymod' )
os.environ['PATH'] += ';C:\\OSGeo4W\\bin'
setup(name='MapSlicer',
... |
428286 | from .enums import BasePermissionEnum
def is_app(context):
return bool(context.app)
def is_user(context):
return context.user.is_active and context.user.is_authenticated
def is_staff_user(context):
return is_user(context) and context.user.is_staff
class AuthorizationFilters(BasePermissionEnum):
... |
428292 | import tempfile
import contextlib
import pytest
import random
import pydeduplines
@pytest.mark.parametrize(
'number_of_threads',
[
0,
1,
2,
]
)
@pytest.mark.parametrize(
'number_of_splits',
[
1,
2,
]
)
def test_compute_unique_lines_one_file(
number_... |
428306 | from orphics.theory.limber import XCorrIntegrator
cosmo = {}
cosmo['omch2'] = 0.1194
cosmo['ombh2'] = 0.022
cosmo['H0'] = 67.0
cosmo['ns'] = 0.96
cosmo['As'] = 2.2e-9
#mnu = 0.06,0.02
#w0 = -1.0,0.3
x = XCorrIntegrator(cosmo)
x.addDeltaNz("jiagalaxy",zsource=2.0)
import numpy as np
print((-np.trapz(x.kernel... |
428308 | from setuptools import setup
setup(
name='awsume-console-plugin',
version='1.2.2',
entry_points={
'awsume': [
'console = console'
]
},
author='Trek10, Inc',
author_email='<EMAIL>',
py_modules=['console'],
)
|
428318 | import json
from ..AdKeyword.sub.ManagedKeywordInfoObject import ManagedKeywordInfoObject
class ManagedKeywordObject:
def __init__(self, json_def):
if type(json_def) is str:
json_def = json.loads(json_def)
s = json_def
self.keyword = None if 'keyword' not in s else s['keyword']... |
428327 | class _EVENT_DESCRIPTOR(_EVENT_DESCRIPTOR):
def __repr__(self):
return "<{0} Id={self.Id} Opcode={self.Opcode} Version={self.Version} Level={self.Level}>".format(type(self).__name__, self=self) |
428332 | import pytest
def test_bad_subclass():
from dataclasses import dataclass
from jobflow import Maker
@dataclass
class BadMaker(Maker):
name: str = "BadMaker"
with pytest.raises(NotImplementedError):
BadMaker().make()
@dataclass
class BadMaker(Maker):
a = 1
w... |
428342 | import math
INFINITY = float('inf')
NAN = float('nan')
def sqrt_nothrow(x):
return math.sqrt(x) if x >= 0 else NAN
def cg(opfunc, x, config, state=None):
"""
This cg implementation is a rewrite of minimize.m written by <NAME>. It is supposed to produce exactly same results (give
or take numerical ... |
428349 | from requests import Session
import json
import re
from typing import Pattern, Dict, Union
class LoggedInException(Exception):
def __init__(self, *args, **kwargs):
super(LoggedInException, self).__init__(*args, **kwargs)
class API(object):
"""
Unifi API for the Unifi Controller.
"""
_l... |
428411 | from os.path import dirname, join
import sys
from tempfile import TemporaryDirectory
import numpy as np
import pytest
from typhon.collocations import collapse, Collocator, Collocations, expand
from typhon.files import FileSet, MHS_HDF
from typhon.files.utils import get_testfiles_directory
import xarray as xr
class T... |
428421 | from __future__ import absolute_import
from . import driver
from . import objective
from . import plugin
from . import technique
|
428468 | import numpy as np
from gym_collision_avoidance.envs.policies.LearningPolicy import LearningPolicy
from gym_collision_avoidance.envs.policies.GA3C_CADRL import network
class LearningPolicyGA3C(LearningPolicy):
""" The GA3C-CADRL policy while it's still being trained (an external process provides a discrete action... |
428478 | from typing import List
from thompson_sampling.base import BasePrior
from pandas import isna
# TODO build out functionality to add priors
class BetaPrior(BasePrior):
def __init__(self):
"""
Initializes a prior distribution object
"""
super().__init__()
def _param_calculator(s... |
428488 | import itertools as it
import numpy, h5py, os
from pyglib.gutz.atoms import Atoms
from pyglib.basic.units import Ryd_eV
try:
import spglib
except:
import pyspglib.spglib as spglib
def cleanup_imap_list(imap_list):
'''Clean up imap list in case correlated atoms are not well ordered
in the struct file.
... |
428522 | import argparse
import datetime
import sys
from io import StringIO
from . import StreamReporter, context_name, format_exception, make_readable
class DotsReporter(StreamReporter):
@classmethod
def locate(cls):
return (None, VerboseReporter)
def initialise(self, args, env):
return args.verb... |
428540 | import csv
from convertextract.parsers.utils import BaseParser
class Parser(BaseParser):
"""Extract text from comma separated values files (.csv).
"""
delimiter = ','
def extract(self, filename, **kwargs):
if 'mapping' in kwargs and kwargs['mapping']:
transducer = self.create_tra... |
428549 | from datetime import date
from dotenv import load_dotenv
from pathlib import Path
from sqlalchemy import create_engine
import bs4 as bs
import ftplib
import gzip
import os
import pandas as pd
import psycopg2
import re
import sys
import time
import urllib.request
import wget
import zipfile
#%%
def getEnv(env):
retu... |
428557 | from ._title import Title
from plotly.graph_objs.parcats.line.colorbar import title
from ._tickformatstop import Tickformatstop
from ._tickfont import Tickfont
|
428617 | import numpy as np
print(np.__version__)
# 1.19.0
a_1d = np.array([1, 2, 3, 4, 5, 6])
print(a_1d)
# [1 2 3 4 5 6]
print(np.cumsum(a_1d))
# [ 1 3 6 10 15 21]
print(np.cumsum(a_1d, dtype=float))
# [ 1. 3. 6. 10. 15. 21.]
print(a_1d.cumsum())
# [ 1 3 6 10 15 21]
print(a_1d.cumsum(dtype=float))
# [ 1. 3. 6. 1... |
428622 | from __future__ import (
absolute_import,
print_function,
unicode_literals,
)
import posixpath
from collections import defaultdict
class OpenXmlPartContainer(object):
'''
Represents a container for other OpenXmlParts that are associated with a
OpenXmlPackage.
See also: http://msdn.micros... |
428662 | import warnings
from .exceptions import ChannelNotDefined, NoDefaultChannel
from .models import Channel
DEPRECATION_WARNING_MESSAGE = (
"Default channel used in a query. Please make sure that channel is explicitly "
"provided. This behavior works only when a one channel exists and will be removed "
"after... |
428695 | from pathlib import Path # pylint: disable=unused-import
from os.path import expanduser # pylint: disable=unused-import
import pytest
from .context import load_telco_sentiment_train, load_telco_sentiment_test, load_telco_sentiment_test_label
from .context import TELCO_CLASS_VALUES
@pytest.mark.skipif('not Path(ex... |
428752 | x = input("Type a number: ")
y = input("Type another number: ")
sum = int(x) + int(y)
print("The sum is: ", sum)
|
428790 | from PIL import Image
from random import randrange, randint
import glob
import os
import shutil
width, height = 16, 16
txts = glob.glob("gen*.txt")
print(txts[-1][3:-4])
gen = int(txts[-1][3:-4])
with open('select5.txt','r') as file:
numbers = [ int(_) for _ in file.read().split('\n')[:-1] ]
... |
428800 | import unittest
from libpysal.examples import load_example
import geopandas as gpd
import numpy as np
from segregation.singlegroup import DistanceDecayInteraction
class Distance_Decay_Interaction_Tester(unittest.TestCase):
def test_Distance_Decay_Interaction(self):
s_map = gpd.read_file(load_example("Sacr... |
428806 | def to_bytes(bytes_or_str):
"""
Converts supplied data into bytes if the data is of type str.
:param bytes_or_str: Data to be converted.
:return: UTF-8 encoded bytes if the data was of type str. Otherwise it returns the supplied data as is.
"""
if isinstance(bytes_or_str, str):
return by... |
428815 | from Crypto.Util.number import long_to_bytes
from gmpy2 import *
class ContinuedFraction():
def __init__(self, numerator, denumerator):
self.numberlist = [] # number in continued fraction
self.fractionlist = [] # the near fraction list
self.GenerateNumberList(numerator, denumerator)
... |
428865 | import faulthandler
import os
import sys
import traceback
import urllib3
from PyQt5.QtCore import QCoreApplication, Qt
from bauh import __app_name__, app_args
from bauh.view.core.config import CoreConfigManager
from bauh.view.util import logs
def main(tray: bool = False):
if not os.getenv('PYTHONUNBUFFERED'):
... |
428879 | import json
import unittest
from coba.registry import CobaRegistry
from coba.exceptions import CobaException
from coba.environments.definitions import EnvironmentDefinitionFileV1
from coba.environments.primitives import SimulatedEnvironment
from coba.environments.openml import OpenmlSimulation
from coba.environments.... |
428880 | import numpy as np
import tidynamics
def test_length_one_msd():
N = 1
pos = np.zeros(N)
reference_msd = np.zeros(N)
computed_msd = tidynamics.msd(pos)
assert np.allclose(reference_msd, computed_msd)
def test_length_zero_msd():
N = 0
pos = np.zeros(N)
reference_msd = np.zeros(N)
com... |
428902 | import torch
import numpy as np
import cv2
import os
from utils.decode import decode_seg_map_sequence
def output_visualize(image, cam, label, gt_map, pred_map):
image = np.transpose(image.clone().cpu().detach().numpy(), (1,2,0)) # H, W, C
cam = np.transpose(cam, (1,2,0)) # H, W, C
""" image den... |
428927 | from setuptools import find_packages
from setuptools import setup
REQUIRED_PACKAGES = [
'tensorflow==1.14.0',
'tensorflow-data-validation==0.11.0'
]
setup(
name='tfdv-data-extraction',
version='0.1',
install_requires=REQUIRED_PACKAGES,
packages=find_packages(),
include_package_data=True
) |
428954 | import os
try:
from StringIO import StringIO
except ImportError:
from io import StringIO
import json
try:
import secure_config.secrets
HAS_SECURE_CONFIG=True
except ImportError:
HAS_SECURE_CONFIG = False
import postgraas_server.configuration as cf
import pytest
class TestConfiguration:
modul... |
428987 | from django.db import migrations
# This can be deleted when doing next squash of migrations because it's a one time update
def update_well_ground_elevation_method_codes(apps, schema_editor):
ground_method_code = apps.get_model('wells', 'GroundElevationMethodCode')
well = apps.get_model('wells', 'well')
u... |
429003 | import threading
from time import sleep
import nb_log
def test():
while 1:
print(123123)
sleep(1)
if __name__ == '__main__':
threading.Thread(target=test).start()
# threading._start_new_thread(test, ())
print(111111111) |
429048 | import iso8601
import nose
from series_tiempo_ar_api.apps.api.tests.endpoint_tests.endpoint_test_case import EndpointTestCase
class TestDateFilters(EndpointTestCase):
def setUp(self):
self.start_date = '2010-01-01'
self.end_date = '2015-01-01'
def test_filters(self):
resp = self.run... |
429068 | import click
import sys
import os
from functools import reduce
from asciimatics.screen import Screen
from click_didyoumean import DYMMixin
from distutils.version import LooseVersion as LV
from calm.dsl.log import get_logging_handle
from calm.dsl.tools import get_module_from_file
from calm.dsl.store import Version
LOG... |
429114 | if sm.hasQuest(2566):
if sm.hasItem(4032985):
sm.chatScript("You already have the Ignition Device.")
else:
sm.giveItem(4032985)
sm.chatScript("Ignition Device. Bring ") |
429138 | import os
import re
from typing import List, Any
from .base import Base
from deoplete.util import error, load_external_module
from deoplete.util import Nvim, UserContext, Candidates
load_external_module(__file__, "")
from exegesis.proto.pdf.x86 import intel_sdm_pb2 as intel_sdm # noqa: E261
class Source(Base):
... |
429139 | from __future__ import division, print_function
import argparse
import yaml
from visual_dynamics import envs
from visual_dynamics import policies
from visual_dynamics.envs import ServoingEnv
from visual_dynamics.utils.config import from_config
from visual_dynamics.utils.rl_util import do_rollouts, FeaturePredictorSe... |
429199 | import musicbrainzngs
from artist import artist
from disk import disk
class apiconnection():
def __init__(self):
pass
def searach_Artist_in_Area(self,area,country,tag,limit):#tag=['rock','metal']
result=musicbrainzngs.search_artists(area=area,country=country,tag=tag,limit=limit)
retu... |
429217 | import urllib
from . import http, dict, errors
noresponse = "Couldn't contact the API right now..."
def gif():
try:
return http.get("/gif/")["url"]
except Exception as e:
raise errors.NothingFound(noresponse)
def jav():
try:
return http.get("/jav/")["url"]
except Exception a... |
429246 | from ixnetwork_restpy.base import Base
from ixnetwork_restpy.files import Files
class FipDiscoveryAdvertisementFcf(Base):
__slots__ = ()
_SDM_NAME = 'fipDiscoveryAdvertisementFcf'
_SDM_ATT_MAP = {
'HeaderFipVersion': 'fipDiscoveryAdvertisementFcf.header.fipVersion-1',
'HeaderFipReserved': ... |
429252 | import operator
from abc import ABCMeta, abstractmethod
from typing import Callable, List, TypeVar
T = TypeVar("T")
class SortedList(List[T]):
"""List class that keeps itself but adding key and reversed methods
__setitem__, append, extend, and insert functions are unsupported
"""
class Comparable(m... |
429259 | from typing import Sequence
import IPython.display
import ipywidgets as widgets
import traitlets
from ..base import LabellingWidgetMixin
from .. import generic
from ..generic.generic_mixin import GenericWidgetMixin
def _text_display_function(item: str):
IPython.display.display(IPython.display.Markdown(item))
... |
429262 | import keras
from keras.models import Sequential
from keras.layers import Dense
import numpy as np
trX = np.linspace(-1, 1, 101)
trY = 3 * trX + np.random.randn(*trX.shape) * 0.33
model = Sequential()
#model.add(Dense(input_dim=1, output_dim=1, init='uniform', activation='linear'))
model.add(Dense(input_dim=1, units=... |
429292 | import subprocess
import pytest
from scripts.generate_utils import PROJECT_DIRECTORY, clone_and_generate
from scripts.stubgen import (
DEFAULT_BRANCH,
K8S_CLIENT_MODULE_DIRECTORY,
K8S_SOURCE_DIRECTORY,
STUBS_CLIENT_MODULE_DIRECTORY,
STUBS_TMP_CLIENT_MODULE_DIRECTORY,
STUBS_TMP_DIRECTORY,
)
fro... |
429333 | from kipoi.model import BaseModel
from mmsplice import MMSplice
from mmsplice.utils import predict_splicing_efficiency
mmsplice = MMSplice()
class MMSpliceModel(BaseModel):
'''Model to predict delta logit PSI'''
def predict_on_batch(self, inputs):
X_ref = mmsplice.predict_on_batch(inputs['seq'])
... |
429363 | import numpy as np
import tensorflow as tf
from tensorflow.python.framework import constant_op
import sys
import json
import math
import os
import time
import random
import sqlite3
random.seed(time.time())
from model import Model, _START_VOCAB
tf.app.flags.DEFINE_boolean("is_train", True, "Set to False to inference.")... |
429371 | import os
def print_head():
print("=======================================================================")
print("Gestión de notas - \"<NAME> - Desarrollo / Formación\"")
print("=======================================================================")
print("\n\t\t\tDATOS GENERALES")
print("=====... |
429384 | import numpy as np
import picos
from cvxopt import matrix, spmatrix
from . import linear_projection
from . import utils
from . import _kabsch
def to_spmatrix(sp):
coo = sp.astype(np.double).tocoo()
return spmatrix(coo.data.tolist(), coo.row.tolist(), coo.col.tolist(), size=sp.shape)
def solve_sdp(w, k):
... |
429417 | from __future__ import print_function, absolute_import, division
from future.builtins import *
from future import standard_library
standard_library.install_aliases()
# Copyright 2017 Autodesk Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with ... |
429429 | from jnpr.healthbot.swagger.models.inline_response2002 import InlineResponse2002
def _mock_user_login():
return InlineResponse2002(access_token='xxxx', refresh_token='yyyy',
refresh_token_expires=1, token_expires=1)
|
429467 | from .enzyme import Enzyme, Ribosome, RNAPolymerase
from .thermomemodel import ThermoMEModel
from .memodel import MEModel |
429521 | import re
import os
print("Generating new layers.py from the following files\n")
files = list(filter(lambda x: x[-10:] == '_layers.py', os.listdir("onnx_caffe")))
print(files)
layers_file = open(os.path.join('onnx_caffe', 'layers.py'), 'w')
layers_file.write("# This file is generated by generate_layers.py\n")... |
429526 | import unittest
from .. import auto_transforms as at
import pandas as pd
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.externals import joblib
import logging
class Test_AutoTransforms(unittest.TestCase):
def test_sklearn_pipeline(self):
t = at.AutoTransform(ignore_vals=["NA",""])
... |
429599 | import random
import collections
from nltk import NaiveBayesClassifier as nbc
from nltk.classify.maxent import MaxentClassifier as mec
import nltk.classify
import pickle
import math
from nltk.metrics import precision
from nltk.metrics import recall
from nltk.metrics import f_measure
from sklearn.svm import LinearSVC
fr... |
429601 | import sys, requests
from PyQt5 import QtGui, uic, QtWidgets
(form_class, qtbase_class) = uic.loadUiType('Demo3.ui')
class MainWindow(qtbase_class, form_class):
def __init__(self):
super(MainWindow, self).__init__()
self.setupUi(self)
self.pushButton.clicked.connect(self._showpic)... |
429616 | import os
import tensorflow as tf
import model
from simulation_data import data_handler
import numpy as np
class trainer(object):
def __init__(self, epochs = 10, batch_size = 128, validation_split = 0.2, tune_model = True, L2NormConst = 0.001, left_and_right_images = False, left_right_offset = 0.2, root_path = ''... |
429674 | from pythonforandroid.recipe import CythonRecipe
class SpineCython(CythonRecipe):
version = '0.5.1'
url = 'https://github.com/tileworks/spine-cython/archive/{version}.zip'
name = 'spine'
depends = ['setuptools']
site_packages_name = 'spine'
call_hostpython_via_targetpython = False
recipe = ... |
429705 | import builtins
import sys
from unittest.mock import patch
import numpy as np
import pytest
builtin_import = builtins.__import__
def import_except_torch(name, *args, **kwargs):
if name == "torch":
raise ImportError
else:
return builtin_import(name, *args, **kwargs)
def test_torch_importerr... |
429732 | import logging
from util.callbacks import callsback
from util.Events import event
import msn
from msn import Message, MSNTextMessage
from msn.p import Switchboard as Super
log = logging.getLogger('msn.p8.sb')
defcb = dict(trid=True, callback=sentinel)
class MSNP8Switchboard(Super):
events = Super.events | set(... |
429773 | from typing import Callable, Dict, List, Set, Optional
from ctypes import c_int8 as i8, c_int16 as i16, c_int32 as i32, c_int64 as i64
from ctypes import c_uint8 as u8, c_uint16 as u16, c_uint32 as u32, c_uint64 as u64
import sys
if __name__ == "__main__":
print("Hello world!")
print("Hello", "world!")
|
429791 | from apiclient.discovery import build
from apiclient.errors import HttpError
from oauth2client.tools import argparser
DEVELOPER_KEY = "<PASSWORD>KEYHERE!"
YOUTUBE_API_SERVICE_NAME = "youtube"
YOUTUBE_API_VERSION = "v3"
def youtube_search(q, max_results=50,order="relevance", token=None, location=None, location_radi... |
429800 | import librosa
import numpy as np
import sys
# sys.path.append('../')
from tifresi.transforms import log_spectrogram, inv_log_spectrogram, log_mel_spectrogram, mel_spectrogram
__author__ = 'Andres'
def test_log_spectrogram():
x = np.random.rand(1024 * 1024).reshape([1024, 1024])
log_x = log_spectrogram(x, ... |
429804 | from cortex.plugins import ModelPlugin
from cortex.built_ins.models.utils import update_encoder_args, update_decoder_args, ms_ssim
import torch.nn.functional as F
class ImageEncoder(ModelPlugin):
def build(self,
dim_out=None,
encoder_type: str = 'convnet',
encoder_args=d... |
429808 | import matplotlib as mpl
mpl.use("Agg")
import matplotlib.pyplot as plt
import numpy as np
from fidimag.micro import Sim
from fidimag.common import CuboidMesh
from fidimag.micro import UniformExchange, Demag
from fidimag.micro import Zeeman, TimeZeeman
from fidimag.common.fileio import DataReader
mu0 = 4 * np.pi * 1e... |
429811 | import json
from nose.tools import eq_,raises
from unittest.mock import patch
from schematics.exceptions import ConversionError, DataError
from moncli import *
from moncli import entities as en
from moncli.enums import ColumnType
from moncli.models import MondayModel
from moncli import types as t
def test_should_suc... |
429816 | from typing import Optional, List, Callable, Tuple
import torch
import random
import sys
import torch.nn.functional as F
import torch.nn.parallel as parallel
import torch.multiprocessing as mp
import torch.nn.parallel as paralle
import torch.distributed as dist
import unittest
import torchshard as ts
from testing im... |
429822 | from .pokemon.species import Species
national = [
Species.MissingNo_00,
Species.Bulbasaur,
Species.Ivysaur,
Species.Venusaur,
Species.Charmander,
Species.Charmeleon,
Species.Charizard,
Species.Squirtle,
Species.Wartortle,
Species.Blastoise,
Species.Caterpie,
Species.Metapod,
Species.Butterfree,
Species.W... |
429824 | import torch.nn as nn
import torch
import math
import torch.nn.functional as F
def get_activation_fn(name):
"""Returns a callable activation function from torch."""
if name in (None, 'linear'):
return lambda x: x
elif name in ('sigmoid', 'tanh'):
return getattr(torch, name)
else:
... |
429886 | import argparse
import math
from datetime import datetime
import h5py
import numpy as np
import tensorflow as tf
import socket
import importlib
import os
import sys
import provider
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = BASE_DIR
sys.path.append(BASE_DIR) # model
sys.path.append(os.path.join(RO... |
429990 | import torch
import torch.nn as nn
import torch.nn.functional as F
import math
def weight_init(layers):
for layer in layers:
torch.nn.init.kaiming_normal_(layer.weight, nonlinearity='relu')
class NoisyLinear(nn.Linear):
# Noisy Linear Layer for independent Gaussian Noise
def __init__(self, in_fea... |
430082 | from collections import Counter
import pytest
from satosa.attribute_mapping import AttributeMapper
class TestAttributeMapper:
def test_nested_attribute_to_internal(self):
mapping = {
"attributes": {
"address": {
"openid": ["address.formatted"],
... |
430083 | from string import Template
t = Template('$name is the $job of $company')
s = t.substitute(name='<NAME>', job='CEO', company='Apple Inc.')
print(s)
# dictionary as substitute argument
d = {"name": "<NAME>", "job": "CEO", "company": "Apple Inc."}
s = t.substitute(**d)
print(s)
# TypeError: substitute() got multiple v... |
430084 | from django.conf.urls import url
from django.urls import path
from django.conf import settings
from django.conf.urls.static import static
from main.views import FileView
from . import views
urlpatterns = [
url(r'^$', views.index),
url(r'^add_user', views.addUser),
url(r'^save_user', views.saveUser),
u... |
430118 | from unittest import mock
from django.core import mail
from rest_framework import test
from waldur_core.structure.models import ProjectRole
from waldur_rancher import enums, models, tasks, utils
from waldur_rancher.tests import factories, fixtures
from waldur_rancher.tests.base import override_rancher_settings
clas... |
430133 | import socket, struct, datetime, os, time
BLOCK_SIZE = 256
SAMPLE_RATE = 44100.0
OSCS = 64
MAX_QUEUE = 400
[SINE, PULSE, SAW, TRIANGLE, NOISE, KS, PCM, ALGO, PARTIAL, PARTIALS, OFF] = range(11)
TARGET_AMP, TARGET_DUTY, TARGET_FREQ, TARGET_FILTER_FREQ, TARGET_RESONANCE, TARGET_FEEDBACK, TARGET_LINEAR = (1, 2, 4, 8, 16,... |
430178 | from __future__ import unicode_literals
from billy.db import tables
from billy.models.base import BaseTableModel
from billy.utils.generic import make_guid
class TransactionFailureModel(BaseTableModel):
TABLE = tables.TransactionFailure
def create(
self,
transaction,
error_message,
... |
430190 | import numpy as np
import pandas as pd
from tqdm import tqdm
from numpy.matlib import repmat
def raised_cosine(duration, nbases, binfun):
nbins = binfun(duration)
ttb = repmat(np.arange(1, nbins + 1).reshape(-1, 1), 1, nbases)
dbcenter = nbins / nbases
cwidth = 4 * dbcenter
bcenters = 0.5 * dbcent... |
430237 | import torch
import torch.nn as nn
import math
from ltr.models.backbone.resnet import BasicBlock
from ltr.models.layers.blocks import conv_block
from ltr.models.lwl.utils import interpolate
class ResidualDS16SW(nn.Module):
""" Outputs the few-shot learner label and spatial importance weights given the se... |
430298 | import argparse
import os.path as osp
from glob import glob
from multiprocessing import Pool
import cv2
import mmcv
from tqdm import tqdm
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--img_pattern", default="/data/test/*jpg")
parser.add_argument("--output_path", default="/dat... |
430318 | from docutils import nodes
from docutils.parsers import Parser
class Parser(Parser):
supported = ('foo',)
def parse(self, input, document):
section = nodes.section(ids=['id1'])
section += nodes.title('Generated section', 'Generated section')
document += section
def get_transforms... |
430335 | import os
from kafka import SimpleProducer, KafkaConsumer, KafkaClient
from kafka.common import LeaderNotAvailableError
import logging
logging.basicConfig()
logger = logging.getLogger('sample-bolt')
# Input stream topics
in_streams = ['fortune-cookie', 'topic-b']
# IP:PORT of a Kafka broker. The typical port is 9092... |
430346 | from sympy import zeros, eye, Matrix
from .extra_dyn import frictionforce, driveinertiaterm
from ..utils import sym_skew as skew
from ..utils import identity
def rne_khalil_forward(rbtdef, geom, ifunc=None):
'''RNE forward pass.'''
if not ifunc:
ifunc = identity
w = list(range(0, rbtdef.dof + 1)... |
430349 | import pylab as p
import numpy as np
from collections import defaultdict
p.rcParams.update({'font.size': 18}) # makes the dfault text size larger
fname='exoplanet.eu_catalog.csv'
f=open(fname,'r')
r=f.readlines()
f.close()
fields=r[0][1:].split(',')
for i in range(len(fields)):
fields[i]=fields[i].strip... |
430399 | from jivago.wsgi.annotations import Resource
from jivago.wsgi.methods import GET
from jivago.wsgi.request.headers import Headers
from jivago.wsgi.request.response import Response
from jivago.wsgi.request.streaming_response_body import StreamingResponseBody
@Resource("/stream")
class MyStreamingResource(object):
... |
430403 | import logging
from collections import namedtuple
log = logging.getLogger(__name__).addHandler(logging.NullHandler())
METADATA_PARENT_ID = "parent_id"
METADATA_KEY_PROV_TYPE = "prov_type"
METADATA_KEY_IDENTIFIER = "identifier"
METADATA_KEY_IDENTIFIER_ORIGINAL = "identifier_original"
METADATA_KEY_NAMESPACES = "namespa... |
430427 | from math import sqrt, log
def log_loss(results):
predicted = [min([max([x, 1e-15]), 1-1e-15]) for x in map(lambda x: float(x[0]), results)]
target = [min([max([x, 1e-15]), 1-1e-15]) for x in map(lambda x: float(x[1]), results)]
return -(1.0 / len(target)) * sum([target[i] * log(predicted[i]) + (1.0 - t... |
430443 | from . import geocoding_utils
class TableGeocodingLock:
def __init__(self, execute_query, table_name):
self._execute_query = execute_query
text_id = 'carto-geocoder-{table_name}'.format(table_name=table_name)
self.lock_id = geocoding_utils.hash_as_big_int(text_id)
self.locked = Fal... |
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