id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
1764334 | from sklearn.preprocessing import StandardScaler
from abc import ABC, abstractmethod
import numpy as np
class DistanceMetric(ABC):
"""Computes distances and defines the optimization model for both
exploration and penalty.
Parameters
----------
-
Attributes
----------
-
"""
... |
1764335 | import math
a = int(input("Enter a "))
b = int(input("Enter b "))
c = int(input("Enter c "))
d = (b**2) - (4*a*c)
root1 = (-b-math.sqrt(d))/(2*a)
root2 = (-b+math.sqrt(d))/(2*a)
print('The solution are {} and {}'.format(root1,root2))
x = int(input("Enter x "))
y = int(input("Enter y "))
result=(((2*x*y)-(9*... |
1764343 | import os
import os.path as osp
from pathlib import Path
import logging
import pandas as pd
from gluonts.dataset.repository.datasets import get_dataset
from gluonts.dataset.multivariate_grouper import MultivariateGrouper
from gluonts.dataset.common import TrainDatasets
logger = logging.getLogger(__name__)
os.enviro... |
1764371 | import os
import math
import asyncio
from concurrent.futures.process import ProcessPoolExecutor
from grpclib.utils import graceful_exit
from grpclib.server import Stream, Server
from google.protobuf.wrappers_pb2 import BoolValue
# generated by protoc
from .primes_pb2 import Request, Reply
from .primes_grpc import Pr... |
1764414 | from sections import Section, Section2D
from sections import CoRenderedSection, SketchSection
from manager import SectionManager, AutoManager, GeoprobeManager
from manager import ExampleSections, NankaiSections
from horizons import HorizonSet
from wells import WellSet, Well, WellDatabase
from maps import Map
__all__ =... |
1764460 | from django.db import migrations
from django.db import models
class Migration(migrations.Migration):
dependencies = [
("mp", "0008_auto_20151018_2208"),
]
operations = [
migrations.AlterField(
model_name="payment",
name="notification",
field=models.One... |
1764516 | import os
import re
from oelint_parser.cls_item import Variable
from oelint_adv.cls_rule import Rule
class VarDependsOrdered(Rule):
def __init__(self):
super().__init__(id="oelint.vars.dependsordered",
severity="warning",
message="'{VAR}' entries should b... |
1764538 | import torch
import torch.nn as nn
from ...ops.pointnet2.pointnet2_batch import pointnet2_modules
from ...ops.roipoint_pool3d import roipoint_pool3d_utils
from ...utils import common_utils
from ...ops.iou3d_nms import iou3d_nms_utils
from .roi_head_template import RoIHeadTemplate
class PointRCNNIoUHead(RoIHeadTemplat... |
1764550 | from __future__ import print_function, division
import os
import shutil
import tempfile
import numpy as np
from numpy.testing import assert_array_almost_equal_nulp
import pytest
import six
from .. import Model
from ..sed import SED
from ...util.functions import random_id
from .test_helpers import get_test_dust
cl... |
1764563 | import functools
import logging
import os
import sys
@functools.lru_cache() # so that calling setup_logger multiple times won't add many handlers
def setup_logger(output_dir, distributed_rank=0, name="monoflex", file_name="log.txt"):
'''
Args:
output_dir (str): a directory saves output log files
... |
1764568 | import torch
from torch import nn, optim, multiprocessing
from torch.utils.data import DataLoader
import numpy as np
from tensorboardX import SummaryWriter
from time import time
from utils.train_utils import CheckpointManager, make_grid_triplet, make_k_grid
from utils.run_utils import get_logger
class ModelTrainer... |
1764599 | class LogmeError(Exception):
"""Used as a general error for the logme module"""
class MisMatchScope(Exception):
"""Used when scope and passed callable is mismatched"""
class InvalidOption(Exception):
"""Used when the an option is invalid"""
class InvalidLoggerConfig(Exception):
"""Used when invali... |
1764674 | from uvicorn.workers import UvicornWorker
from .settings import settings
class RunboatUvicornWorker(UvicornWorker): # type: ignore
if settings.log_config:
UvicornWorker.CONFIG_KWARGS["log_config"] = settings.log_config
|
1764675 | import os
import sys
from typing import Tuple
import inquirer
from cli.platform.error import CliError
from winnow.pipeline.pipeline_context import PipelineContext
from winnow.remote.connect import RepoConnector
def ask_password(
message, literal_pass: Tuple[str, str] = (None, None), file_pass: Tuple[str, str] =... |
1764718 | from aetherling.modules.hydrate import Hydrate, Dehydrate
from aetherling.modules.map_fully_parallel_sequential import MapParallel
from magma.simulator.coreir_simulator import CoreIRSimulator
import coreir
from magma.scope import Scope
from aetherling.helpers.image_RAM import *
from aetherling.modules.upsample import U... |
1764719 | from immobilus import immobilus
import time
def test_gmtime():
with immobilus('2015-11-16 21:35:16'):
time_struct = time.gmtime()
assert time_struct.tm_year == 2015
assert time_struct.tm_mon == 11
assert time_struct.tm_mday == 16
assert time_struct.tm_hour == 21
as... |
1764727 | import torch.nn as nn
from .base_rnn import BaseRNN
class Encoder(BaseRNN):
"""Encoder RNN module"""
def __init__(self, vocab_size, max_len, word_vec_dim, hidden_size, n_layers,
input_dropout_p=0., dropout_p=0., bidirectional=False, rnn_cell='lstm',
variable_lengths=False, w... |
1764758 | from datetime import datetime
import pandas as pd
from IPython.display import display, Markdown
display(Markdown(
'Loaded variable-table.py at {}'
.format(str(datetime.now()))
))
input_types_1 = {
'1st': 'toggle',
'3rd': 'number',
'4th': 'dropdown',
'5th': 'dropdown',
'6th': 'readonly'
}... |
1764759 | from django.contrib.auth import get_user_model
from django.core.exceptions import ValidationError
from django.test import TestCase, override_settings
from flags.conditions.validators import (
validate_boolean,
validate_date,
validate_parameter,
validate_path_re,
validate_user,
)
class ValidatePar... |
1764788 | num1=float(input('Enter the first number:'))
num2=float(input('Enter the second number:'))
print(num1+num2)
|
1764890 | import numpy as np
import warnings
warnings.filterwarnings("ignore")
import tensorflow as tf
from tensorflow import keras
tf.compat.v1.enable_eager_execution()
import matplotlib.pyplot as plt
from model_utils import save_model
# construct TensorFlow model
model = keras.Sequential()
model.add(keras.layers.InputLayer(in... |
1764914 | from django.urls import path
from .views import LocationList, LocationDetail, add_or_change_location, delete_location
urlpatterns = [
path("", LocationList.as_view(), name="location_list"),
path("add/", add_or_change_location, name="add_location"),
path("<uuid:pk>/", LocationDetail.as_view(), name="locati... |
1764923 | import ctypes
import epics.dbr as dbr
def _build_args(dbr_type, c_data):
args = dbr.event_handler_args()
args.type = dbr_type
args.count = len(c_data)
args.raw_dbr = ctypes.cast(c_data, ctypes.c_void_p)
args.status = dbr.ECA_NORMAL
return args
def test_cast_args():
# cast_args casts a si... |
1765029 | assert 100000000000 ** 10 == 100000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000
a = 1000000000000
assert str(a) == "1000000000000"
assert str(a * a) == "1000000000000000000000000"
print("ok")
|
1765070 | import torch
from torch import nn
from torch.nn.utils.rnn import pad_packed_sequence, pack_padded_sequence
from ..utils.generic_utils import to_cuda
class EmbeddingConstructionBase(nn.Module):
"""
Base class for (initial) graph embedding construction.
...
Attributes
----------
feat : dict
... |
1765107 | from __future__ import print_function
#This is to train the network by running: python single1_train.py <experiment_name> <obj_id>
#e.g.: python single1_train.py subdiv_29_softmax_edge 29
#Prerequisite before training:
#cfg file: <experiment_name>.cfg under the path: path_workspace/cfg/<experiment_name>.cfg
#Rendered ... |
1765114 | from django.contrib import admin
from django.conf import settings
from django.contrib.admin import SimpleListFilter
from freeradmin.models import Raduser, Radcheck, Radreply, Radgroup, Vlan, Mac
# CUSTOM ADMIN FILTERs
class UsersByVlanListFilter(SimpleListFilter):
# Human-readable title which will be displayed in... |
1765138 | import unittest
from datetime import datetime
from datetime import timedelta
from programy.services.library.base import PythonAPIService
from programy.services.library.base import PythonAPIServiceException
from programy.services.config import ServiceConfiguration
class PythonAPIServiceExceptionTests(unittest.TestCase... |
1765200 | from setuptools import setup
with open("../README.md") as f:
readme = f.read()
version = "v1.4_wip"
setup(
name="ruffini",
version=version,
description="Monomials, Polynomials and lot more!",
long_description=readme,
long_description_content_type="text/markdown",
author="<NAME>",
auth... |
1765218 | import gen_layer
import math
label_source = "/ssd/ijcai18/data/agnews" #training and testing label generated by 'gen_data.py'
data_source = "/ssd/ijcai18/data/agnews" #training and testing data generated by 'gen_data.py'
local_dict_source = "/ssd/ijcai18/data/agnews/local_dict.txt" #local dict generated by 'gen_data.p... |
1765236 | import os
import sys
import pandas as pd
from datetime import datetime
sys.path.append('src')
from Broker import Robinhood # noqa autopep8
import Constants as C # noqa autopep8
rh = Robinhood()
if not C.CI:
rh.writer.store.bucket_name = os.environ['S3_DEV_BUCKET']
rh.reader.store.bucket_name = os.... |
1765260 | from starkeffect import *
from ext.las_str.SimplexModMPF import Simplex
from mpmath import *
import sys
class Stark_calcSS:
def __init__(self,_n1, _n2, _m, point_ground_state):
mp.prec = 10000
self.n1 = _n1
self.n2 = _n2
self.m = abs(_m)
... |
1765272 | from csv import reader
import sys
import os
import time
import subprocess
import sys
from subprocess import DEVNULL
if len(sys.argv) < 2:
print('usage: python3 {} <out dir>'.format(sys.argv[0]))
sys.exit(-1)
fin = sys.stdin
outdir = sys.argv[1]
def version(prog):
try:
subprocess.check_call(['p4tes... |
1765292 | class Test(object):
@classmethod
def setUpClass(cls):
cls.setup = 1
@classmethod
def tearDownClass(cls):
del cls.setup
def setUp(self):
self.test_setup = 1
def tearDown(self):
del self.test_setup
def test(self):
assert self.test_setup
asser... |
1765331 | import os
import torch
import torch.nn as nn
import torch.optim as optim
from torch.utils.data import DataLoader
import torchmetrics
from model.seq2seq import JointNLU
from util.conf_util import read_conf
from util.dataset_util import DatasetUtil
device = "cuda" if torch.cuda.is_available() else "cpu"
print(f"device... |
1765350 | from setuptools import setup, find_packages
setup(name='code_transformer',
version='0.1',
description='Code Transformer',
author='<NAME>, <NAME>, <NAME>, <NAME>, <NAME>',
author_email='<EMAIL>,<EMAIL>',
packages=find_packages(),
install_requires=['jsonlines==1.2.0', 'rouge==1.0.0', ... |
1765353 | from django.core.management.base import BaseCommand
from hc.api.models import Flip
from hc.lib.date import month_boundaries
class Command(BaseCommand):
help = "Prune old Flip objects."
def handle(self, *args, **options):
threshold = min(month_boundaries(months=3))
q = Flip.objects.filter(cr... |
1765363 | import copy
import numpy as np
from mmhuman3d.data.datasets import HumanImageDataset
from mmhuman3d.data.datasets.pipelines import (
LoadImageFromFile,
MeshAffine,
RandomHorizontalFlip,
)
def test_human_image_dataset():
# test auto padding for bbox_xywh
train_dataset = HumanImageDataset(
... |
1765384 | from conans import ConanFile
class libembeddedhal_conan(ConanFile):
name = "libembeddedhal"
version = "0.0.1"
license = "Apache License Version 2.0"
author = "<NAME>"
url = "https://github.com/SJSU-Dev2/libembeddedhal"
description = "A collection of interfaces and abstractions for embedded per... |
1765395 | import os.path
import click
import tensorflow as tf
import numpy
import pkg_resources
import sklearn.model_selection
from xtreme_vision.Detection.keras_resnet import metrics as m
from xtreme_vision.Detection.keras_resnet import models
_benchmarks = {
"CIFAR-10": tf.keras.datasets.cifar10,
"CIFAR-100": tf.ker... |
1765411 | class Solution:
def isIsomorphic(self, s: str, t: str) -> bool:
return len(set(zip(s, t))) == len(set(s)) == len(set(t)) |
1765444 | import os, sys
import configparser
import serial
import logging
from LogReader import LogReader
from EncoderReader import EncoderReader
import math
import tkinter
import collections
import pandas
from matplotlib import pyplot
import numpy as np
import scipy.signal
logging.basicConfig(level=os.environ.get("LOGLEVEL", "... |
1765455 | import argparse
import sys
from vcstool.streams import set_streams
from .command import Command
from .command import simple_main
class StatusCommand(Command):
command = 'status'
help = 'Show the working tree status'
def __init__(self, args):
super(StatusCommand, self).__init__(args)
se... |
1765465 | def extractJiamintranslationCom(item):
'''
Parser for 'jiamintranslation.com'
'''
if 'Calligraphy' in item['tags']:
return None
vol, chp, frag, postfix = extractVolChapterFragmentPostfix(item['title'])
if not (chp or vol) or "preview" in item['title'].lower():
return None
tagmap = [
('HAWRR', 'Quic... |
1765496 | from autograd.tracer import primitive, getval
from autograd.extend import defvjp
from autograd.test_util import check_grads
from nose.tools import assert_raises_regexp
def test_check_vjp_1st_order_fail():
@primitive
def foo(x):
return x * 2.0
defvjp(foo, lambda ans, x : lambda g: g * 2.001)
as... |
1765504 | from datetime import datetime, timedelta
from vnpy.trader.gateway.oandaGateway import OandaGateway
from vnpy.trader.vtEngine import EventEngine
from vnpy.trader.app.ctaStrategy.histbar._base import BarReader, freq_minutes
from vnpy.trader.app.ctaStrategy.histbar._test import test
class OandaBarReader(BarReader):
... |
1765522 | import os
from typing import Dict, NamedTuple, Optional
import numpy as np
try:
import wandb
wandb.ensure_configured()
if wandb.api.api_key is None:
_has_wandb = False
wandb.termwarn("W&B installed but not logged in. Run `wandb login` or set the WANDB_API_KEY env variable.")
else:
... |
1765540 | import tkinter as tk
import tk_tools
if __name__ == '__main__':
root = tk.Tk()
tk.Label(root, text="The variable value: ").grid(row=0, column=0)
value_label = tk.Label(root, text="")
value_label.grid(row=0, column=1)
def callback(value):
value_label.config(text=str(value))
# specify... |
1765563 | import gzip
import os
import shutil
from pathlib import Path
from tempfile import NamedTemporaryFile
import pytest
import skhep_testdata
import pylhe
TEST_FILE = skhep_testdata.data_path("pylhe-testfile-pr29.lhe")
@pytest.fixture(scope="session")
def testdata_gzip_file():
test_data = skhep_testdata.data_path("... |
1765564 | import pytest
from django.contrib.auth.models import Group
from django.urls import reverse
from guardian.shortcuts import get_group_perms, get_objects_for_group
class TestGroupView:
def test_group_list_permission_required(self, django_app, volunteer):
response = django_app.get(reverse("core:group_list"), ... |
1765585 | import os
from deepblast.dataset.utils import state_f, revstate_f
import pandas as pd
import numpy as np
from collections import Counter
def read_mali(root, tool='manual', report_ids=False):
""" Reads in all alignments.
Parameters
----------
root : path
Path to root directory
tool : str
... |
1765598 | from boa3.builtin.interop.contract.contractmanifest import ContractManifest
from boa3.builtin.type import UInt160
class Contract:
"""
Represents a contract that can be invoked.
:ivar id: the serial number of the contract
:vartype id: int
:ivar update_counter: the number of times the contract was ... |
1765603 | from __future__ import division
# LIBTBX_SET_DISPATCHER_NAME qr.fragmentation
import sys
import time
import os.path
import libtbx
import iotbx.pdb
from qrefine.fragment import fragments
from qrefine.fragment import fragment_extracts
from qrefine.fragment import get_qm_file_name_and_pdb_hierarchy
from qrefine.fragment i... |
1765609 | from typing import Any, Dict, Tuple, Union
import torch
from torchsparse.utils import make_ntuple
__all__ = ['SparseTensor', 'PointTensor']
class SparseTensor:
def __init__(self,
feats: torch.Tensor,
coords: torch.Tensor,
stride: Union[int, Tuple[int, ...]] =... |
1765625 | import unittest
import crestdsl.model as crest
from crestdsl.simulation.z3calculator import uses_dt_variable
class uses_dt_variableTest(unittest.TestCase):
def test_finds_used_dt(self):
@crest.update(state="some_state", target="some_port")
def myUpdate(self, dt):
a = 133
... |
1765644 | from __future__ import print_function
import flydra_analysis.a2.core_analysis as core_analysis
import numpy as np
import flydra_analysis.a2.utils as utils
class EquivalentObjectFinder:
def __init__(self, src_h5, dst_h5):
self.ca = core_analysis.get_global_CachingAnalyzer()
self.src_h5 = src_h5
... |
1765654 | from django.conf import settings
from rest_framework import serializers
from musics.models import Music
class MusicSerializer(serializers.ModelSerializer):
# If your <field_name> is declared on your serializer with the parameter required=False
# then this validation step will not take place if the field is n... |
1765738 | import random
import string
import subprocess
import os
import tempfile
import re
import sys
from datetime import timedelta
from subprocess import DEVNULL, STDOUT, PIPE
class Transcode:
"""
Transcode is a wrapper around the ffmpeg binary used to transcode
audio from media files.
"""
def __init__(... |
1765755 | import mock
import ckan.tests.factories as factories
import ckan.model as model
import ckan.plugins.toolkit as tk
import ckanext.hdx_theme.tests.hdx_test_base as hdx_test_base
from ckanext.hdx_org_group.helpers.static_lists import ORGANIZATION_TYPE_LIST
config = tk.config
NotAuthorized = tk.NotAuthorized
class Te... |
1765789 | import unittest
import unittest.mock
import programytest.storage.engines as Engines
from programy.storage.stores.sql.config import SQLStorageConfiguration
from programy.storage.stores.sql.engine import SQLStorageEngine
from programy.storage.stores.sql.store.sqlstore import SQLStore
class SQLStoreTests(unittest.TestCa... |
1765814 | from . import tools
from . import formula
from . import linear
from . import testing
from .formula import (
Factor, Term, Formula, Real, Categ, Demean, Binned, Custom,
I, R, C, D, B, robust_eval, factor, design_matrices
)
from .linear import ols
from .testing import dataset
try:
from .general import (
... |
1765869 | import glob
import os
import shutil
from universal_build import build_utils
HERE = os.path.abspath(os.path.dirname(__file__))
REACT_WEBAPP_COMPONENT = "react-webapp"
DOCS_COMPONENT = "docs"
PYTHON_LIB_COMPONENT = "python-lib"
DOCKER_COMPONENT = "docker"
def main(args: dict) -> None:
"""Execute all component bu... |
1765906 | from setuptools import setup
import sys
classifiers = """\
Intended Audience :: Developers
License :: OSI Approved :: Apache Software License
Development Status :: 4 - Beta
Natural Language :: English
Programming Language :: Python :: 2.7
Operating System :: MacOS :: MacOS X
Operating System :: Unix
Programming Langua... |
1765955 | import json
from datetime import datetime, timedelta
import pytz
from django.urls import reverse
from rest_framework import status
from rest_framework.authtoken.models import Token
from rest_framework.test import APITestCase
from helium.auth.tasks import expire_auth_tokens
from helium.auth.tests.helpers import userhe... |
1765957 | import click
import tabulate
# describes how to align the individual table columns
colalign = (
"left", # date
"left", # description
"left", # ticker
"left", # action
"right", # qty
"right", # price
"right", # commission
"right", # currency
)
def capgains_show(transaction... |
1765978 | import tensorflow as tf
import selfsup
import os
from .base import Method
from autocolorize.tensorflow.sparse_extractor import sparse_extractor
from autocolorize.extraction import calc_rgb_from_hue_chroma
import functools
from collections import OrderedDict
import numpy as np
def kl_divergence(labels, logits):
#re... |
1765987 | class CompactSet:
def __init__(self, numbers = None, bits = None):
self.bits = bits or 0
if numbers:
for n in numbers:
self.add(n)
def add(self, n):
self.bits |= 1 << n
def remove(self, n):
self.bits &= ~(1 << n)
def clear(self):
... |
1766000 | def xgcd( x, y ):
old_r, r = (x, y)
old_s, s = (1, 0)
old_t, t = (0, 1)
while r != 0:
quotient = old_r // r
old_r, r = (r, old_r - quotient * r)
old_s, s = (s, old_s - quotient * s)
old_t, t = (t, old_t - quotient * t)
return old_s, old_t, old_r # a, b, g
class Fie... |
1766007 | import json
import boto3
import cfnresponse
from botocore.exceptions import ClientError
import time
rds_data = boto3.client('rds-data')
rds_client = boto3.client('rds')
s3 = boto3.resource('s3')
def create(properties, physical_id):
print("Create Event and Properties: {}".format(json.dumps(properties)))
cluster =... |
1766014 | import argparse
import os
from dataset import *
from models.cnn_block_frame_flow import CNNBlockFrameFlow
from train_helper import *
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Block Frame&Flow ConvNet")
parser.add_argument("--dataset_dir", type=str, default="data",
... |
1766017 | import argparse
import json
import numpy as np
import os
import shutil
import sqlite3
import sys
import types
import torch
from utils import translate_descriptors, build_hybrid_database, match_features, geometric_verification, reconstruct, blob_to_array, compute_extra_stats
sys.path.append(os.getcwd())
from l... |
1766114 | import tensorflow.keras as keras
# call this to stop training
class myStopCallback(keras.callbacks.Callback):
def __init__(self):
self.stop_me = False
def on_epoch_begin(self, epoch, logs={}):
if self.stop_me:
self.model.stop_training = True
def on_epoch_end(self, epoch, logs... |
1766155 | import constants as con
def main_menu():
# Display a welcome message
print("Welcome to {}".format(con.GAME_NAME))
print("Here are your choices: {}".format(con.MAIN_MENU_CHOICES))
user_input = input("> ").lower().strip()
while not user_input in con.MAIN_MENU_CHOICES:
print("Sorry, I didn’t r... |
1766186 | from django.contrib import admin
from django.contrib.auth.models import Group
from django.contrib.auth.admin import UserAdmin as DefaultUserAdmin
from user import models
from user import forms
class UserAdmin(DefaultUserAdmin):
"""
The class for enabling the django admin interface to
interact with the c... |
1766195 | from ...managers import get_python_manager
from . import _get_opposite_operator
class MetaField:
def __init__(self, name, index=None, meta_condition=None, meNode=None, t=None, reMetaNode=None):
if (meta_condition is not None) and (meNode is not None):
raise ValueError("you cannot mix condition... |
1766203 | class SlavesBaseException(Exception):
pass
class SlaveIsLocked(SlavesBaseException):
pass
class InvalidSign(SlavesBaseException):
pass
class UnknownError(SlavesBaseException):
pass
|
1766210 | import dataclasses
import pytest
from dddpy.domain.book import Isbn
class TestIsbn:
@pytest.mark.parametrize(
"value",
[
("978-0321125217"),
("978-4-949999-12-0"),
],
)
def test_constructor_should_create_instance(self, value):
isbn = Isbn(value)
... |
1766229 | import os
import sys
import json
import logging
import argparse
import uuid
import time
from shutil import copyfile
import shure
import offline
import tornado_server
APPNAME = 'micboard'
CONFIG_FILE_NAME = 'config.json'
FORMAT = '%(asctime)s %(levelname)s:%(message)s'
config_tree = {}
gif_dir = ''
group_update_l... |
1766260 | from enum import Enum, unique
__all__ = ['ParserEnum', 'CommonEnum']
@unique
class ParserEnum(Enum):
MENHIR = 'menhir'
DYPGEN = 'dypgen'
PWZ_NARY = 'pwz_nary'
PWZ_NARY_LIST = 'pwz_nary_list'
PWZ_NARY_LOOK = 'pwz_nary_look'
PWZ_BINARY = 'pwz_binary'
PWD_BINARY = 'pwd_binary'
PWD_BINAR... |
1766276 | from __future__ import print_function
import time
import tensorflow as tf
from six.moves import xrange
def model(x, nlogits, train=False):
b = tf.shape(x)[0]
if args.infer_legacy:
window = tf.contrib.signal.hann_window(1024)
windows = []
for i in xrange(0, 16384, 128):
x_window = x[:, i:i+102... |
1766331 | from .decoders import WienerFilterDecoder, WienerCascadeDecoder, KalmanFilterDecoder,\
DenseNNDecoder, SimpleRNNDecoder, GRUDecoder, LSTMDecoder, XGBoostDecoder, SVRDecoder, NaiveBayesDecoder
from .metrics import get_R2, get_rho
from .preprocessing_funcs import bin_output, bin_spikes, get_spikes_with_histor... |
1766347 | import warnings
from torch.optim.lr_scheduler import ReduceLROnPlateau
from .base import BaseHook
from .registry import HOOKS
@HOOKS.register_module
class LRSchedulerHook(BaseHook):
def __init__(self, monitor_metric="loss", by_epoch=True):
self.monitor_metric = monitor_metric
self.by_epoch = by_... |
1766352 | import torch
import torch.nn.functional as F
from medical_seg.networks.nets.swin_transformer.model_2 import StageModule
## 官方代码为model.py 这个改起来比较困难，model_2 是非官方实现 model_patch_conv 是在model_2的基础上把unfold操作换成了卷积
#
#
# 测试unfold函数。
# x = torch.randn(1, 2, 64, 64, 64)
# x = x.squeeze(dim=0)
# kc, kh, kw = 16, 16, 16 # ker... |
1766356 | import random
from copy import deepcopy
import numpy as np
from sklearn.datasets import make_classification
from sklearn.metrics import roc_auc_score as roc_auc
from core.composer.chain import Chain
from core.composer.composer import DummyComposer, DummyChainTypeEnum, ComposerRequirements
from core.models.da... |
1766369 | import argparse
import os
from pprint import pprint
import yaml
from autogluon.vision import ImagePredictor
def get_input_path(path):
file = os.listdir(path)[0]
if len(os.listdir(path)) > 1:
print(f'WARN: more than one file is found in {path} directory')
print(f'Using {file}')
filename = f'{p... |
1766398 | from . import packet
class Packet32(packet.Packet):
def __init__(self, player):
super(Packet32, self).__init__(0x32)
self.add_data(player.playerID)
for i in range(0, 22):
self.add_data(0)
|
1766452 | from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('error', '0005_auto_20180621_2110'),
]
def update_should_be_retried(apps, schema_editor):
# Go through all of the Error models and update which ones should ... |
1766453 | import unittest
from jsom import JsomParser, SINGLE_QUOTED_STRING, UNQUOTED_STRING, \
EMPTY_OBJECT_VALUE, TRAILING_COMMA_IN_OBJECT, TRAILING_COMMA_IN_ARRAY, \
ALL_WARNINGS
class TestWarnings(unittest.TestCase):
def setUp(self):
self.parser = JsomParser()
def test_single_quoted_string_warning... |
1766455 | import re
import re
import os
import sys
import pprint
import platform
import subprocess
from setuptools.command.install import install
from setuptools.command.build_ext import build_ext
from setuptools import setup, Extension, find_packages
WITH_MPI = False
opt_flags = {
'Release': {
'unix': ['-O3', '-DN... |
1766472 | import copy
import pytest
from datasette.app import Datasette
@pytest.mark.asyncio
async def test_dashboard_views(datasette):
dashboards = datasette._metadata["plugins"]["datasette-dashboards"]
for slug, dashboard in dashboards.items():
response = await datasette.client.get(f"/-/dashboards/{slug}")
... |
1766494 | import numpy as np
from datetime import datetime
from .routine import get_fix_string, get_fix_list
from .routine import get_equal_strings, get_equal_lists
from .models.base_model import MODEL_NAME_LENGTH
UP_END = "┌"
DOWN_END = "└"
MIDDLE = "├"
LAST = "┤"
EMPTY = "│"
START_END = "┐"
SPACE = " "
USELESS_SUBKEYS = {
... |
1766506 | from __future__ import absolute_import
from sentry.testutils import TestCase
class StaticMediaTest(TestCase):
def test_basic(self):
url = '/_static/sentry/app/index.js'
response = self.client.get(url)
assert response.status_code == 200, response
assert 'Cache-Control' not in respo... |
1766548 | import yaml
from transible.plugins.os_ansible.const import DEFAULTS
from transible.plugins.os_ansible.config import VARS_PATH
class ExtraDumper(yaml.Dumper):
"""Custom dumper for YAML
"""
def increase_indent(self, flow=False, indentless=False):
return super().increase_indent(flow, False)
def ya... |
1766583 | import numpy as np
import pandas as pd
from keras.utils import to_categorical
from scipy.signal import butter, lfilter
# @sp - remove unused imports
from imblearn.over_sampling import SMOTE
def conv_arrays_to_df(train_x, train_y, params):
n_steps = train_x.shape[2] # number of samples per 30 seconds
train_y... |
1766604 | import json
import argparse
from tornado import web, ioloop, queues, gen, process
from server import ApiHandler, TranslatorWorker, initialize_workers, settings
class ElgApiHandler(ApiHandler):
def post(self, src_lang, target_lang):
self.prepare_args()
lang_pair = "{}-{}".format(src_lang, tar... |
1766618 | from __future__ import division, unicode_literals
from django.test import override_settings
from django.contrib.auth import get_user_model
from selenium.common.exceptions import NoSuchElementException, TimeoutException, WebDriverException
from selenium.webdriver.support.wait import WebDriverWait
from .testcase import ... |
1766657 | import csv
rows = []
with open("output.csv", "rb") as csvFile:
reader = csv.reader(csvFile)
for row in reader:
rows.append(row)
rows.sort(key=lambda x: x[2])
for row in rows:
print row
f = open("pic.dot", "w")
f.write("digraph {\n\nrankdir = TB\n\n")
#print rows[0][4] + ' ** ' + rows[0][5] ... |
1766670 | import math
import torch
import random
import unittest
import itertools
import contextlib
from copy import deepcopy
from itertools import repeat, product
from functools import wraps
import torch.nn as nn
import torch.nn.functional as F
import torch.nn.parallel as dp
import torch.nn.utils.rnn as rnn_utils
from torch.nn... |
1766680 | import scipy.io as sio
import numpy as np
from PIL import Image
from pathlib import Path
import sys
sys.path.append('.')
from util import data
from dataloader import SSLDataset
class SVHNSSL(SSLDataset):
def read_x(self, idx):
return Image.fromarray(self.x[idx].copy())
@staticmethod
def split_da... |
1766695 | from multiprocessing import freeze_support
from rdkit import Chem
from mordred import Chi, ABCIndex, RingCount, Calculator, is_missing, descriptors
if __name__ == "__main__":
freeze_support()
benzene = Chem.MolFromSmiles("c1ccccc1")
# Create empty Calculator instance
calc1 = Calculator()
# Reg... |
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