id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
1691476 | from __future__ import division, with_statement
from ...._common import block_to_format, get_label_length
from ._helpers import prune_nones_dict, prune_nones_list, read_record
__all__ = [
"read",
]
def read(filename, label_length=None):
"""
Read TOUGH input file.
Parameters
----------
filen... |
1691478 | class Solution:
def beautifulArray(self, N: int) -> List[int]:
result = [1]
while len(result) < N:
result = [i * 2 - 1 for i in result] + [i * 2 for i in result]
return [i for i in result if i <= N]
|
1691493 | import copy
import random
from configuration import config
from src.genotype.cdn.nodes.blueprint_node import BlueprintNode
from src.genotype.cdn.nodes.module_node import ModuleNode
from src.genotype.neat.connection import Connection
from src.genotype.neat.genome import Genome
from src.genotype.neat.mutation_record imp... |
1691537 | import importlib
from . import config
import atexit
import os
HEAP_DEFAULT = 0
HEAP_UPLOAD = 1
HEAP_READBACK = 2
SHADER_BINARY_TYPE_DXIL = 0
SHADER_BINARY_TYPE_SPIRV = 1
SHADER_BINARY_TYPE_DXBC = 2
SHADER_BINARY_TYPE_MSL = 3
SHADER_BINARY_TYPE_GLSL = 4
class UnknownBackend(Exception):
pass
class BufferExcepti... |
1691546 | import ast
import pathlib
import yaml
from typing import Any, Dict, Set
from viewflow.adapters.python.python_adapter import DependantDataFrame
class NoDocstringError(Exception):
pass
class UnparseableDocstringError(Exception):
pass
def get_dependencies_from_function_def(node: ast.FunctionDef) -> Set[str]... |
1691549 | import os
try:
os.makedirs("./temp")
except OSError:
#faz o que acha que deve se não for possível criar
#https://pt.stackoverflow.com/q/170615/101
|
1691576 | from os import listdir, mkdir
from os.path import join, split, isfile, isdir
conversions = [
('./track2-gallery-query-metadata-v2m100/test-prob-v2m100.log',
'./track2-gallery-query-metadata-v2m100/prob_v2m100.txt',
'./track2-gallery-query-metadata-v2m100/imglist_v2m100.txt'),
]
img_gline = {}
with open... |
1691583 | import os
import unittest
import subprocess
from fuc.api.common import FUC_PATH
from fuc import pyvcf, pybed, pyfq, pygff
vcf_file1 = f'{FUC_PATH}/data/vcf/1.vcf'
vcf_file2 = f'{FUC_PATH}/data/vcf/2.vcf'
vcf_file3 = f'{FUC_PATH}/data/vcf/3.vcf'
bed_file1 = f'{FUC_PATH}/data/bed/1.bed'
bed_file2 = f'{FUC_PATH}/data/be... |
1691602 | import argparse
import sys
import time
from multiprocessing import Pool
import numpy as np
import pandas as pd
from terminaltables import *
from dataset import VideoDataSet
from ops.utils import temporal_nms
sys.path.append('./anet_toolkit/Evaluation')
import os
import pdb
import pickle
from anet_toolkit.Evaluation... |
1691606 | from api.event import Event
class TaskCreatedEvent(Event):
"""
A `task-created` event that replaces the celery's `task-sent` event.
Sent by TaskResponse for every PENDING/STARTED task.
"""
_type_ = _name_ = 'task-created'
|
1691613 | import unittest
import comma.cpp_bindings
class test(unittest.TestCase):
def test_size(self):
self.assertEqual(comma.cpp_bindings.csv.format('d,2ub,s[5]').size(), 15)
if __name__ == '__main__':
unittest.main()
|
1691615 | from ekphrasis.classes.preprocessor import TextPreProcessor
from ekphrasis.classes.tokenizer import SocialTokenizer
from ekphrasis.dicts.emoticons import emoticons
def ws_tokenizer(text):
return text.split()
text_processor = TextPreProcessor(
normalize=['url', 'email', 'percent', 'money', 'phone', 'user', '... |
1691629 | import logging
import time
from src.tasks.celery_app import celery
from src.queries.get_trending_playlists import (
make_trending_cache_key,
make_get_unpopulated_playlists,
)
from src.utils.redis_cache import pickle_and_set
from src.utils.redis_constants import trending_playlists_last_completion_redis_key
from ... |
1691641 | import os
import pickle
import tensorflow as tf
from six.moves import cPickle
from moon.models.lstm_gen.char_rnn.model import Model
def get_sample(base_save_dir, sample_length, seed_str):
with open("sample_args.pickle", "rb") as handle:
args = pickle.load(handle)
args.save_dir = base_save_dir
ar... |
1691655 | from smart_grasping_sandbox.smart_grasper import SmartGrasper
from tf.transformations import quaternion_from_euler
from math import pi
import time
import rospy
from math import sqrt, pow
import random
from sys import argv
sgs = SmartGrasper()
MIN_LIFT_STEPS = 5
MAX_BALL_DISTANCE = 0.6
CLOSED_HAND = {}
CLOSED_HAND["... |
1691658 | import pandas as pd
import numpy as np
import plotly.graph_objs as go
import plotly.colors
from collections import OrderedDict
import requests
# default list of all countries of interest
country_default = OrderedDict([('Canada', 'CAN'), ('United States', 'USA'),
('Brazil', 'BRA'), ('France', 'FRA'), ('India', 'IND... |
1691660 | from django.db import models
from django.contrib.contenttypes.models import ContentType
from django.utils.encoding import force_text
class CommentManager(models.Manager):
def for_model(self, model):
"""
QuerySet for all comments for a particular model (either an instance or
a class).
... |
1691661 | from django.contrib import admin
from reversion.admin import VersionAdmin
from symposion.teams.models import Team, Membership
admin.site.register(Team,
prepopulated_fields={"slug": ("name",)})
class MembershipAdmin(VersionAdmin):
list_display = ["team", "user", "state"]
list_filter = ["... |
1691676 | import json
import pytest
from verity_sdk.utils import unpack_forward_message
from verity_sdk.utils.Context import Context
from verity_sdk.protocols.Protocol import Protocol
from ..test_utils import get_test_config, cleanup
@pytest.mark.asyncio
async def test_get_message():
message = {'hello': 'world'}
conte... |
1691684 | import cv2
import numpy as np
cap = cv2.VideoCapture(0)
while (1):
_, frame = cap.read()
# intialize the object
detector = cv2.CascadeClassifier("haarcascade_smile.xml")
# read the image and convert to grayscale
gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
# perform the the face... |
1691716 | from ps1_argonaut.files.DATFile import DATFile
class BINFile(DATFile):
suffix = 'BIN'
def __str__(self):
return 'Translated text'
|
1691725 | import asyncio
import logging
from public_plugins.trickcord_patches import trickcord_patches
logger = logging.getLogger('gradiusbot')
logger.info("[Message Event Plugin] <trickcord_patches.py>: Trickcord Edit Event patches.")
TRICKCORD_ID = 755580145078632508
async def action(**kwargs):
event_type = kwargs['ev... |
1691735 | import string
import unittest
class BrailleTest(unittest.TestCase):
def testLowercase(self):
self.assertEqual(
answer("code"), "100100101010100110100010")
def testMixedcase(self):
self.assertEqual(
answer("Braille"),
"000001110000111010100000010100111000111... |
1691758 | import pyspark.sql.functions as F
import pyspark.sql.types as T
from typing import Callable
from pyspark.sql import SparkSession, DataFrame
# helper function for looping
def loop(op: Callable[[DataFrame], DataFrame], df: DataFrame = None) -> DataFrame:
for _ in range(10):
df = op(df)
return df
class ... |
1691814 | import os,sys
from tkinter import *
import tkinter.font as font
from tkinter import filedialog
class Final(Frame):
def __init__(self, parent=None, pid=0,side=LEFT, anchor=N,wt=600,ht=400,is_next=True,is_back=True,next_frame=None,back_frame=None,info_txt="",path_frm=None,path_frm2=None,frames=[],fdict=[],prefix_v... |
1691836 | import argparse
import os
import subprocess
import sys
from datetime import datetime
from config.Config import Config
from enums.Architectures import Arch
from utils.console import Console
from utils.utils import detect_arch
class ExportViewer:
def __init__(self, arch=Arch.x64):
self.path = str(Config().... |
1691895 | import os
from LAUG.aug.Word_Perturbation.multiwoz.multiwoz_eda import MultiwozEDA
from LAUG.aug.Word_Perturbation.multiwoz.db.slot_value_replace import MultiSourceDBLoader, MultiSourceDBLoaderArgs
from LAUG.aug.Word_Perturbation.multiwoz.util import load_json, dump_json
from LAUG import DATA_ROOT,REPO_ROOT
import json... |
1691930 | from pybricks.parameters import Port
class AnalogSensor:
"""
Generic or custom analog sensor.
Args:
port (Port): Port to which the sensor is connected.
"""
def __init__(self, port: Port):
if port == Port.A or port == Port.B or port == Port.C or port == Port.D:
raise V... |
1691964 | import numpy as np
import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.path
import numexpr as ne
import scipy as sp
import scipy.sparse
plt.ion()
import pybie2d
"""
Demonstrate how to use the pybie2d package to solve an interior/exterior
Laplace problem on a complicated domain using a global qua... |
1691967 | import pytest
from protoactor.actor import PID
from protoactor.remote.messages import JsonMessage
from protoactor.remote.serialization import Serialization
from tests.remote.messages.protos_pb2 import DESCRIPTOR
@pytest.fixture(scope="session", autouse=True)
def register_file_descriptor():
Serialization().regis... |
1692057 | from django.contrib import admin
#from .models import Article, Category, BlogComment, Tag
#from .models import Image
# Register your models here.
#admin.site.register([Article, Category, BlogComment, Tag])
#admin.site.register([Image])
|
1692064 | import numpy as np
from tgym.utils import calc_spread
def test_calc_spread():
spread_coefficients = [1, -0.1]
prices = np.array([1, 2, 10, 20])
spread_price = (-1, 1)
assert calc_spread(prices, spread_coefficients) == spread_price
|
1692083 | import numpy as np
from mmcv.parallel import DataContainer as DC
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines import to_tensor
@PIPELINES.register_module()
class ConcatVideoReferences(object):
"""Concat video references.
If the input list contains at least two dicts, concat the ... |
1692096 | import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.dirname(os.path.realpath(__file__)))))
import argparse
import datetime
import json
import contextlib
from func_timeout import func_timeout, FunctionTimedOut
import multiprocessing
import numpy as np
import os
import sys
from job_id_pair import Job... |
1692185 | from nose.tools import eq_
import openxc.version
def test_get_version():
version = openxc.version.get_version()
eq_(type(version), str)
|
1692219 | import math
import numpy as np
class Robot:
def __init__(self, wheel_base, track_width, wheel_radius, max_v, max_w):
# w1<--track width--> w2
# ^ |
# | |
# wb |
# | |
# v |
... |
1692228 | from bentoml.yatai.grpc_interceptor.prom_server_interceptor import (
PromServerInterceptor,
ServiceLatencyInterceptor,
)
__all__ = [
"ServiceLatencyInterceptor",
"PromServerInterceptor",
]
|
1692251 | import requests
import json
import datetime
import azure.functions as func
import base64
import hmac
import hashlib
import os
import logging
import re
from .state_manager import StateManager
customer_id = os.environ['WorkspaceID']
shared_key = os.environ['WorkspaceKey']
slack_api_bearer_token = os.envir... |
1692282 | import pytest
from sitri import Sitri
from sitri.providers.contrib.system import SystemConfigProvider
@pytest.fixture(scope="module")
def test_sitri():
return Sitri(config_provider=SystemConfigProvider(prefix="test"))
|
1692294 | class Stack(object):
def __init__(self):
"""
initialize your data structure here.
"""
self.q1 = []
self.q2 = []
def push(self, x):
"""
:type x: int
:rtype: nothing
"""
self.q1.append(x)
def pop(self):
"""
:rtyp... |
1692325 | from functools import wraps
from flask_login import login_required
from werkzeug.exceptions import abort
from sarna.model.enums import UserType
valid_auditors = {UserType.manager, UserType.trusted_auditor, UserType.auditor}
valid_trusted = {UserType.manager, UserType.trusted_auditor}
valid_managers = {UserType.manag... |
1692362 | import zipfile
import sys
import os
import ase.io
from datetime import datetime
def extract_file(zipname, file_to_unzip, extract_to):
with zipfile.ZipFile(zipname, 'r') as traj_zip:
traj_zip.extract(file_to_unzip, extract_to)
def main():
"""
Given a directory containing adsorbate subdirectories, ... |
1692366 | import numpy as np
import cv2
segmentation_colors = np.array([[0, 0, 0],
[255, 191, 0],
[192, 67, 251]], dtype=np.uint8)
detection_color = (191, 255, 0)
label = "car"
ORIGINAL_HORIZON_POINTS = np.float32([[571, 337], [652, 337]])
num_horizon_points = 0
new_horizon_points = []
def util_d... |
1692404 | import io
import glob
import os
import pytest
from readme_renderer.markdown import render, variants
MD_FIXTURES = [
(fn, os.path.splitext(fn)[0] + ".html", variant)
for variant in variants
for fn in glob.iglob(
os.path.join(
os.path.dirname(__file__),
"fixtures",
... |
1692407 | import unittest
from katas.kyu_7.rule_of_divisibility_by_7 import seven
class SevenTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(seven(483), (42, 1))
def test_equals_2(self):
self.assertEqual(seven(371), (35, 1))
def test_equals_3(self):
self.assertEqual(s... |
1692415 | import os
import sys
import pytest
from sonic_platform_base.sonic_sfp import sfputilhelper
@pytest.fixture(scope="class")
def setup_class(request):
# Configure the setup
test_dir = os.path.dirname(os.path.realpath(__file__))
request.cls.port_config_file = os.path.join(test_dir, 'port_config.ini')
@pyt... |
1692432 | from tqdm import tqdm
class DLProgress(tqdm):
""" Class to show progress on dataset download """
# Progress bar code adapted from a Udacity machine learning project.
last_block = 0
def hook(self, block_num=1, block_size=1, total_size=None):
self.total = total_size
self.update((block_n... |
1692458 | from kafka.structs import TopicPartition
from typing import Dict
from typing import List
from typing import Optional
class KafkaConsumer:
def __init__(
self,
bootstrap_servers: List[str],
enable_auto_commit: Optional[bool] = True,
group_id: Optional[str] = None,
):
...
... |
1692459 | from db import connect
from db.model import Basic, Decision
from sqlalchemy import and_
class DecisionFactory:
@staticmethod
def get_by_user(user_id):
"""
Get by user id
:param int user_id: user id
:return: decisions
:rtype: list[Decision]
"""
session =... |
1692469 | import scipy.ndimage as scnd
import scipy.optimize as sio
import numpy as np
import stemtool as st
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib_scalebar.scalebar as mpss
import matplotlib.offsetbox as mploff
import matplotlib.gridspec as mpgs
import matplotlib as mpl
class atomic... |
1692470 | import time
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.utils.text import get_valid_filename, slugify
from django.utils.encoding import python_2_unicode_compatible
EXTENSION_CHOICES = (
('.ini', _('INI file')),
('.yml', _('YAML file')),
('.xml', _('XML ... |
1692499 | from abc import ABCMeta, abstractmethod
class AbstractDataHandler(object):
"""Abstract Data Handler Class
The data handler is an abstract base class providing an interface for all
subsequent (inherited) data handlers (both live and historic).
The goal of a (derived) data handler object is to output ... |
1692528 | import ast
import csv
import datetime
import pytz
from sqlalchemy import Column, Integer, Numeric, String, Boolean, DateTime
from sqlalchemy.ext.declarative import declarative_base
Base = declarative_base()
class Device(Base):
__tablename__ = 'devices'
id = Column(Integer, primary_key=True, autoincrement=True... |
1692530 | import os
import datetime
import requests, json
from django.contrib.auth.models import User
from django.core.mail import send_mail
## Global var to be used any time we need to use the range or min/max # of
## Google's category scoring scale. Names changed for more global usage.
## Ex: An accessibility score isn... |
1692548 | import cmath
if __name__ == '__main__':
s = input() #input a complex number
print(abs(complex(s))) #output the distance in polar coordinate
print(cmath.phase(complex(s))) #output the angle in polar coordinate
|
1692605 | load(
"//reason/private:extensions.bzl",
"CMXA_EXT",
"CMI_EXT",
"CMO_EXT",
"CMX_EXT",
"C_EXT",
"H_EXT",
"MLI_EXT",
"ML_EXT",
"O_EXT",
)
load(
"//reason/private:providers.bzl",
"MlCompiledModule",
)
load(
":utils.bzl",
"TARGET_BYTECODE",
"TARGET_NATIVE",
... |
1692633 | import sublime
from os import path
import urllib
import json
import subprocess
import re
from .settings import get_setting
server_addr = "http://127.0.0.1:15155"
cli = 'padawan'
server_command = 'padawan-server'
class Server:
def start(self):
subprocess.Popen(
server_command,
sh... |
1692658 | import unittest
import numpy as np
import pandas as pd
import os
import sys
sys.path.insert(0, os.path.abspath('../../../'))
from mastml.plots import Scatter, Histogram
class TestPlots(unittest.TestCase):
def test_scatter(self):
X = pd.Series(np.random.uniform(low=0.0, high=100, size=(50,)))
y = ... |
1692673 | import pytest
from sentinelhub import SentinelHubSession
@pytest.mark.sh_integration
def test_session():
session = SentinelHubSession()
token = session.token
headers = session.session_headers
for item in [token, headers]:
assert isinstance(item, dict)
for key in ['access_token', 'expir... |
1692710 | self.description = "Sysupgrade with sync packages having absurd epochs"
versions = (
"1234327518932650063289125782697890:1.0-1",
"1234327518932650063289125782697891:0.9-1",
"1234327518932650063289125782697891:1.0-1",
"1234327518932650063289125782697891:1.1-1",
"1234327518932650063289125782697892:1.0-1",
)
pkgver... |
1692728 | import unittest
from mock import MagicMock
from src.domain.input_text.input_text_processor import InputTextProcessor
from src.domain.interaction.information_phase import InformationPhase
from src.domain.interaction.transition_to_question_answering_phase import TransitionToQuestionAnsweringPhase
class TestInformatio... |
1692779 | import torch
from tqdm import tqdm
# MLP + Positional Encoding
class Decoder(torch.nn.Module):
def __init__(self, input_dims = 3, internal_dims = 128, output_dims = 4, hidden = 5, multires = 2):
super().__init__()
self.embed_fn = None
if multires > 0:
embed_fn, input_ch = get_em... |
1692783 | import argparse
import os
import torch
import yaml
from train.train import train
os.environ['NCCL_LL_THRESHOLD'] = '0'
parser = argparse.ArgumentParser(description='Train model on multiple cards')
parser.add_argument('--config', help='path to yaml config file')
parser.add_argument('--local_rank', type=i... |
1692791 | from unittest import TestCase
from torch.nn import BCELoss
from tqdm import tqdm
from experiments import Experiment
from experiments.environment import get_env
from experiments.utils import flatten
from models.transformers import JointBERT
from wiki.data_helpers import JointBERTWikiDataHelper
class ExperimentTest(T... |
1692837 | from .AutomatonGenerators import generate_random_dfa, generate_random_mealy_machine, generate_random_moore_machine, generate_random_markov_chain
from .AutomatonGenerators import generate_random_mdp, generate_random_ONFSM
from .FileHandler import save_automaton_to_file, load_automaton_from_file, visualize_automaton
from... |
1692838 | from enum import Enum
class CriminalCase:
pass
class CriminalOffence(Enum):
# List from https://www.cps.gov.uk/sites/default/files/
# documents/publications/annex_1a_table_of_offences_scheme_c.pdf
DANGEROUS_DRIVING = "Dangerous driving"
ENDANGERING_AN_AIRCRAFT = "Endangering an aircraft"
FAL... |
1692844 | def create_dictionary_from_lexicon(path, punctuation_marks):
words = ["<unk>", "</s>"]
with open(path, 'r') as f:
for line in f:
word = line.strip()
if word not in punctuation_marks:
words.append(word)
return dict(zip(words, range(len(words))))
def create_p... |
1692849 | import os
import copy
from continual_rl.policies.policy_base import PolicyBase
from continual_rl.policies.impala.impala_policy_config import ImpalaPolicyConfig
from continual_rl.policies.impala.impala_environment_runner import ImpalaEnvironmentRunner
from continual_rl.policies.impala.nets import ImpalaNet
from continua... |
1692873 | try:
from rgbmatrix import graphics
except ImportError:
from RGBMatrixEmulator import graphics
from data.config.color import Color
from data.config.layout import Layout
from data.standings import Division, League
from utils import center_text_position
def render_standings(canvas, layout: Layout, c... |
1692925 | import torch
from typing import List
from yacs.config import CfgNode
from torch.nn import functional as F
from .jenson_shannon_divergence import jensen_shannon_divergence
from .build import LOSS_REGISTRY
@LOSS_REGISTRY.register('weighted_focal_loss')
class WeightedFocalLoss(torch.nn.Module):
"""
If dysfunctio... |
1692947 | from polyphony import testbench
def ifexp01(x, y):
return True if x == y else False
@testbench
def test():
assert False == ifexp01(0, 1)
assert True == ifexp01(1, 1)
assert False == ifexp01(True, False)
test()
|
1692956 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from .utils import *
from .affine_net import *
from .momentum_net import *
import mermaid.module_parameters as pars
import mermaid.model_factory as py_mf
import mermaid.utils as py_utils
from functools import p... |
1692964 | from direct.directnotify import DirectNotifyGlobal
from pandac.PandaModules import ModelNode, LODNode, NodePath
from pandac.PandaModules import TextureStage
from pandac.PandaModules import AnimControlCollection, Character, PartSubset
from pirates.ship import ShipGlobals
from pirates.ship import ShipBlueprints
MastSubse... |
1692996 | from relogic.logickit.scorer.scorer import Scorer
from relogic.logickit.utils.utils import softmax, sigmoid
import torch.nn.functional as F
import torch
from tqdm import tqdm
import os
import subprocess
import json
class RecallScorer(Scorer):
def __init__(self, label_mapping, topk, correct_label='1', dump_to_file=No... |
1693001 | from common.diagrams import Diagram
from common.definitions import G_PROTEIN_SEGMENTS
from residue.models import Residue
from residue.models import ResidueGenericNumber
from residue.models import ResidueNumberingScheme
from django.utils.safestring import mark_safe
from math import cos, sin, pi, floor,sqrt
from datet... |
1693007 | from django.urls import path
from .views import show_foilaw
urlpatterns = [
path("<slug:slug>/", show_foilaw, name="publicbody-foilaw-show"),
]
|
1693027 | from CvPythonExtensions import *
import CvUtil
gc = CyGlobalContext()
class CvPediaProject:
def __init__(self, main):
self.iProject = -1
self.top = main
self.X_INFO_PANE = self.top.X_PEDIA_PAGE
self.Y_INFO_PANE = self.top.Y_PEDIA_PAGE
self.W_INFO_PANE = 380 #290
self.H_INFO_PANE = 120
self.W_ICON =... |
1693029 | import torch
import torch.nn as nn
from uninas.modules.heads.abstract import AbstractHead
from uninas.utils.args import Argument
from uninas.utils.shape import Shape
from uninas.register import Register
@Register.network_head()
class PwClassificationHead(AbstractHead):
"""
Network output, pixel-wise
act f... |
1693043 | import os
import pickle as pkl
import numpy as np
import scipy.io as scio
import SimpleITK as sitk
from sklearn.preprocessing import normalize
from hyperg.utils import minmax_scale
from hyperg.utils import print_log
DATA_DIR = os.path.join(os.path.dirname(__file__), 'datasets')
def load_myocardium(test_idx=[4]):
... |
1693070 | from app import db
from app.models.base_model import BaseEntity
class Contact(db.Model, BaseEntity):
__tablename__ = 'contact'
name = db.Column(db.String(256))
email = db.Column(db.String(200), unique=True)
phone_nr = db.Column(db.String(64))
location_id = db.Column(db.Integer, db.ForeignKey('loc... |
1693157 | import pytest
from torch.nn import Embedding as _Embedding
from neuralpy.layers.sparse import Embedding
def test_embedding_should_throw_type_error():
with pytest.raises(TypeError):
Embedding()
@pytest.mark.parametrize(
"num_embeddings, embedding_dim, padding_idx, \
max_norm, norm_type, scale_gra... |
1693169 | import tensorflow as tf
import math
def fully_connected(input_, output_nodes, name, stddev=0.02):
with tf.variable_scope(name):
input_shape = input_.get_shape()
input_nodes = input_shape[-1]
w = tf.get_variable('w', [input_nodes, output_nodes],
initializer=tf.truncated_normal_i... |
1693171 | import cv2
import os
from hdn.core.config import cfg
'''This script is using for transform POT dataset from video to img frames.'''
if __name__ == "__main__":
import os, shutil
result_path = cfg.BASE.PROJ_PATH + 'experiments/tracker_homo_config/results/POT/HDN'
for i in os.listdir(result_path):
or... |
1693173 | import re
import pytest
from django.core.exceptions import ImproperlyConfigured
from precise_bbcode.bbcode import BBCodeParserLoader
from precise_bbcode.bbcode import get_parser
from precise_bbcode.bbcode.defaults.placeholder import _color_re
from precise_bbcode.bbcode.defaults.placeholder import _email_re
from preci... |
1693203 | from __future__ import division
import pickle
import numpy
import time
def run_tti_sim(model, T, max_dt=None,
intervention_start_pct_infected=0, average_introductions_per_day=0,
testing_cadence='everyday', pct_tested_per_day=1.0, test_falseneg_rate='temporal',
testin... |
1693230 | import requests
import json
import time
import os
import sys
from contextlib import contextmanager
from subprocess import Popen, check_output, CalledProcessError
import shlex
class Droplet:
def __init__(self, session, id, i_know_what_im_doing=False):
if not i_know_what_im_doing:
raise Except... |
1693334 | class Solution:
def longestPalindrome(self, s):
"""
:type s: str
:rtype: int
"""
from collections import Counter
out=even=sum(v for k,v in Counter(s).items() if v%2==0)
odd_big=[v for k,v in Counter(s).items() if v%2!=0 and v>1]
odd_small=[v for k,v in... |
1693336 | import time
import mock
from datetime import datetime, timedelta
from chalice import logs
from chalice.awsclient import TypedAWSClient
from six import StringIO
NO_OPTIONS = logs.LogRetrieveOptions()
def message(log_message, log_stream_name='logStreamName'):
return {
'logStreamName': log_stream_name,
... |
1693357 | import warnings
import numpy as np
import theano
import theano.tensor as T
from theano.sandbox.rng_mrg import MRG_RandomStreams
import treeano
import treeano.nodes as tn
fX = theano.config.floatX
@treeano.register_node("normal_sample")
class NormalSampleNode(treeano.NodeImpl):
input_keys = ("mu", "sigma")
... |
1693383 | class Person:
def __init__(self, name, age):
self.name = name
self.age = age
def print_name(self):
pass
print("Hello my name is " + self.name)
class Dog:
def __init__(self, name):
self.name = name
self.tricks = []
def add_trick(self, trick):
se... |
1693385 | from ..utils import TranspileTestCase
class SetComprehensionTests(TranspileTestCase):
def test_syntax(self):
self.assertCodeExecution("""
x = [1, 2, 3, 4, 5]
s = {v**2 for v in x}
print(len(s))
print(1 in s)
print(4 in s)
print(9 in s... |
1693416 | import hugectr
from mpi4py import MPI
solver = hugectr.CreateSolver(max_eval_batches = 70,
batchsize_eval = 65536,
batchsize = 65536,
lr = 0.5,
warmup_steps = 300,
vvgpu ... |
1693418 | import pandas_flavor as pf
import pandas as pd
@pf.register_dataframe_method
def sort_column_value_order(
df: pd.DataFrame, column: str, column_value_order: dict, columns=None
) -> pd.DataFrame:
"""
This function adds precedence to certain values in a specified column, then
sorts based on that column ... |
1693440 | import json
import os
import platform
import sys
import threading
import traceback
from copy import deepcopy
from datetime import datetime
from string import lower
class AbstractLog(object):
# AbstractLog provides an ABC for the creation of a concrete Log class
def __init__(self, ToolProjectName, ToolProject... |
1693484 | from modeltranslation.translator import translator, TranslationOptions
from .models import Language, Keyword, KeywordSet, Place, Event, Offer, License
class LanguageTranslationOptions(TranslationOptions):
fields = ('name',)
translator.register(Language, LanguageTranslationOptions)
class KeywordTranslationOpti... |
1693512 | from decouple import config
DATAPORTEN = {
"STUDY": {
"ENABLED": config("OW4_DP_STUDY_ENABLED", cast=bool, default=False),
"TESTING": config("OW4_DP_STUDY_TESTING", cast=bool, default=True),
"CLIENT_ID": config("OW4_DP_STUDY_CLIENT_ID", default=""),
"CLIENT_SECRET": config("OW4_DP_S... |
1693517 | def test():
assert (
"patterns = list(nlp.pipe(people))" in __solution__
), "你有用list将nlp.pipe的结果变为列表吗？"
__msg__.good(
"干得漂亮！接下来我们看一个实际例子，用nlp.pipe来处理文档生成更多的元数据。"
)
|
1693548 | from orator.migrations import Migration
class CreateSubredditsTable(Migration):
def up(self):
"""
Run the migrations.
"""
with self.schema.create('subreddits') as table:
table.increments('id')
table.timestamps()
table.text('subreddit').unique()
... |
1693576 | import os
import config
import models
import gamestats
import message
import addgamestats
import basehandler
from wrap import PropWrap
from wrap import DictWrap
from google.appengine.ext import webapp
from google.appengine.ext.webapp import template
from google.appengine.ext import db
class GameDetail(basehandler.Ba... |
1693582 | from nose.tools import with_setup
import pandas as pd
from ..widget import utils as utils
from ..widget.encoding import Encoding
df = None
encoding = None
def _setup():
global df, encoding
records = [{u'buildingID': 0, u'date': u'6/1/13', u'temp_diff': 12, "mystr": "alejandro", "mystr2": "1"},
... |
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