id stringlengths 3 8 | content stringlengths 100 981k |
|---|---|
4816959 | import numpy as np, os, itertools
import pandas as pd
from .comparison_metrics import (sim_xy,
selInf_R,
glmnet_lasso,
coverage,
compare_sampler_MLE)
def compare_sampler_mle(n=500,
... |
4816962 | import numpy as np
import pytest
from glum._link import Link, LogitLink
@pytest.mark.parametrize("link", Link.__subclasses__())
def test_link_properties(link):
"""Test link inverse and derivative."""
rng = np.random.RandomState(42)
x = rng.rand(100) * 100
if link.__name__ == "TweedieLink":
l... |
4817055 | from armulator.armv6.opcodes.abstract_opcodes.ldr_register_thumb import LdrRegisterThumb
from armulator.armv6.opcodes.opcode import Opcode
from armulator.armv6.shift import SRType
class LdrRegisterThumbT1(LdrRegisterThumb, Opcode):
def __init__(self, instruction, m, t, n, shift_t, shift_n):
Opcode.__init_... |
4817079 | from itertools import product
import tensorflow as tf
from detext.train import data_fn, constant
from detext.utils import vocab_utils
from detext.utils.parsing_utils import InputFtrType, TaskType, iterate_items_with_list_val
from detext.utils.testing.data_setup import DataSetup
from official.utils.misc import distribu... |
4817095 | import datetime
import re
from dateutil import parser
import phonenumbers
from .utils import memoize
class DataType(object):
super_types = []
SIMILARITY_MATCH_THRESHOLD = .95
def __init__(self, **kwargs):
pass
def validate_and_clean(self, s):
if not s:
return None
... |
4817103 | from depot.manager import DepotManager
from .interfaces import DepotFileInfo
import json
class UploadedFile(DepotFileInfo):
"""Simple :class:`depot.fields.interfaces.DepotFileInfo` implementation that stores files.
Takes a file as content and uploads it to the depot while saving around
most file informat... |
4817129 | import tensorflow as tf
# Helper function for creating hash tables from pydict
def createMap(d, default):
table = tf.contrib.lookup.HashTable(
tf.contrib.lookup.KeyValueTensorInitializer(list(d.keys()), list(d.values())), default)
def lookup(key):
return table.lookup(key)
return lookup
i... |
4817149 | import json
import requests
AWESOME_VIDEO_COLLECTION_ID = 11035632
def find(string):
url = re.findall(
'http[s]?://(?:[a-zA-Z]|[0-9]|[$-_@.&+]|[!*\(\), ]|(?:%[0-9a-fA-F][0-9a-fA-F]))+', string)
return url
def insertCharacterAtPos(char, string, index, ):
return string[:index] + '-' + string[index... |
4817169 | from wisdem.aeroelasticse.Util.FileTools import str_repeats
def read_ElastoDynSum(elastodyn_sum):
ed_sum = {}
f = open(elastodyn_sum)
# Get runtime
f.readline()
ln = f.readline().strip().split()
ed_sum['Run_Date'] = ln[-3]
ed_sum['Run_Time'] = ln[-1]
# Get DOF
f.rea... |
4817172 | import numpy as np
import torch
def predict_vertices(params, roi_box, dense, transform=True):
vertices = reconstruct_vertices(params, dense=dense)
|
4817200 | from peon.src.lint.principles.definition.no_code_in_constructors import NoCodeInConstructor
from peon.src.lint.principles.definition.no_getters_and_setters import NoGettersAndSetters
from peon.src.lint.principles.definition.no_null import NoNull
from peon.src.lint.report.report import Report
from peon.src.lint.principl... |
4817202 | from gmpy2 import invert
from math import prod
n = 77352089398489850796806146335817822743711481572933529049053133154094184673227267028481895327214901217085176978482559482546561927936794247969547436498108782926885073859529202294837763899226503887399750725876608669866030809869803592195251115896591911729370478690083319823... |
4817216 | import logging
from collections import OrderedDict
from api.appd.AppDService import AppDService
from extractionSteps.JobStepBase import JobStepBase
from util.asyncio_utils import AsyncioUtils
from util.stdlib_utils import substringBetween
class ErrorConfigurationAPM(JobStepBase):
def __init__(self):
supe... |
4817224 | num=int(input("Enter a number "))
n=num
nnum=0
while(n!=0):
r=n%10
nnum+=r**len(str(n))
n//=10
if(nnum==num):
print(num,'is a Disarium number')
else:
print(num,'is not a Disarium number')
|
4817245 | import numpy as np
def log_loss(c,c_hat):
c_hat = np.clip(c_hat,1e-8,1-1e-8)
return -c * np.log(c_hat) - (1 - c)*np.log(1 - c_hat)
def zero_one_thold(c,c_hat,thold=0.5):
c_hat[c_hat < thold] = 0
c_hat[c_hat >= thold] = 1
return np.asscalar(sum((c_hat == c).astype(int)) / c.shape[0])
def zero_one_abs(c,c_h... |
4817284 | import numpy as np
a = np.array([1, 100, 10])
print(a)
# [ 1 100 10]
print(np.argmax(a))
# 1
a = np.array([1, 10, 10])
print(a)
# [ 1 10 10]
print(np.argmax(a))
# 1
a_2d = np.array([[20, 50, 30], [60, 40, 10]])
print(a_2d)
# [[20 50 30]
# [60 40 10]]
print(np.argmax(a_2d))
# 3
print(a_2d.flatten())
# [20 50 3... |
4817305 | import logging
import os
import select
import socket
import sys
import time
import traceback
from kivy.app import App
from kivy.clock import Clock
from kivy.core.window import Window
from kivy.lang import Builder
from kivy.properties import ObjectProperty, ListProperty
from kivy.uix.actionbar import ActionItem
from ki... |
4817337 | import unittest
from qlazy import PauliProduct
def equal_list(list_0, list_1):
if len(list_0) != len(list_1):
return False
else:
for l_0, l_1 in zip(list_0, list_1):
if l_0 != l_1:
return False
return True
class TestPauliProduct_init(unittest.TestCase):
""... |
4817343 | import os
import binascii
import json
import hashlib
def bi2ba(bigint):
m_bytes = []
while bigint != 0:
b = bigint%256
m_bytes.insert( 0, b )
bigint //= 256
return bytearray(m_bytes)
# 0 = base
# 1 = exp
# 2 = mod
rsa = bi2ba(pow(int(os.environ['ARG0'], 16), int(os.environ['ARG1']... |
4817360 | import os
import json
import numpy as np
from ..util.binaryIO import read_double_from_bin, write_double_to_bin, load_ts_data, read_one_test_data
def eval_medgpc_top(exp_config, test_mode):
# load configuration file
exp_param = json.load(open(exp_config, 'r'))
# evaluate testing results
raw_data_dir = exp_param[... |
4817395 | from coldtype import *
@animation((1080, 290), timeline=Timeline(90), render_bg=True, bg=hsl(0.65))
def welcome(f):
return (Glyphwise("ABC", lambda g:
Style(Font.Find("CheeeVar"), 250,
tu=f.e("eeio", 1, rng=(0, -350)),
yest=f.e("ceio", 1),
grvt=f.adj(g.i*10).e("seio", 3)... |
4817417 | import matplotlib.pyplot as plt
from sklearn.datasets import load_iris
import sklearn.metrics as sm
l1 = [0,1,2]
def rename(s):
l2 = []
for i in s:
if i not in l2:
l2.append(i)
for i in range(len(s)):
pos = l2.index(s[i])
s[i] = l1[pos]
return s
iris_dataset=load_iris()
X = iris_dataset["data"]
y=iris_dat... |
4817429 | import time
from decimal import Decimal, InvalidOperation
from typing import Dict, List, Union
import dateutil.parser
from .utils import D
order_vocab = frozenset([
'client_oid', 'type', 'side', 'product_id', 'stp',
'price', 'size', 'time_in_force', 'cancel_after',
'post_only', 'funds', 'overdraft_enabl... |
4817434 | class BaseAdmin(object):
def save_formset(self, request, form, formset, change):
instances = formset.save(commit=False)
for instance in instances:
if not instance.pk:
instance.created_by = request.user
instance.modified_by = request.user
instance.s... |
4817473 | import os
import platform
from asyncio import sleep
from contextlib import suppress
from functools import partial
from pathlib import Path
from shutil import rmtree
from subprocess import Popen
from logzero import logger
from send2trash import send2trash
from send2trash.exceptions import TrashPermissionError
from watc... |
4817492 | import tensorflow as tf
def variable_summaries(var, name):
"""Attach a lot of summaries to a Tensor."""
with tf.name_scope('summaries'):
mean = tf.reduce_mean(var)
tf.summary.scalar('mean/' + name, mean)
with tf.name_scope('stddev'):
stddev = tf.sqrt(tf.reduce_mean(tf.square(var - mean)))
tf.... |
4817493 | import h5py
import sys
import traceback
import time
import datetime
import numpy as np
import pandas as pd
import tushare as ts
pro = ts.pro_api('a54958861f0f432ced60b01e875240942463f3357e22f944223669fb')
def save_hdf5(securities: [str], since: datetime.datetime, until: datetime.datetime):
try:
f = h5py... |
4817513 | from unittest import skip
from mock import MagicMock
from bxcommon.models.node_type import NodeType
from bxcommon.models.outbound_peer_model import OutboundPeerModel
from bxcommon.network.ip_endpoint import IpEndpoint
from bxcommon.network.socket_connection_state import SocketConnectionStates
from bxcommon.network.tr... |
4817583 | class AdversarialArm():
def __init__(self, t, active_start, active_end):
self.t = t
self.active_start = active_start
self.active_end = active_end
def draw(self):
self.t = self.t + 1
if self.active_start <= self.t <= self.active_end:
return 1.0
else:
return 0.0
|
4817612 | from inspect import getmembers
from inspect import isfunction
import hug
from hug_middleware_cors import CORSMiddleware
from constants import MASK_COLOR
from constants import OUTPUT_IMAGE_FORMAT
from image_io import load_image
from image_io import serialize_image
from image_processing import apply_morphology
import i... |
4817620 | import random
class DataAugment(object):
"""
训练集数据增强，需要增强时就在处理DataFrame的时候加上增强数据
"""
@staticmethod
def segment_shuffle(text):
"""
分段乱序
"""
shuffle_box = []
input_text = list(map(int, text))
length = len(input_text)
shuffle_box.append(inpu... |
4817632 | import os.path
import urllib.request
import click
from os import makedirs, chdir
EXAMPLE_URL_BASE = 'https://raw.githubusercontent.com/kenjyco/redis-helper/master/examples/'
EXAMPLE_FILES = [
'request_logs.py',
'urls.py',
'game.py',
'sample.py',
]
@click.command()
@click.argument('directory', defaul... |
4817653 | var1 = 10
var2 = 10
var3 = 8
# IS Operator
print(var1 is var2)
print(var1 is var3)
# IS NOT Operator
print(var1 is not var2)
print(var1 is not var3) |
4817719 | from .body3d_h36m_dataset import Body3DH36MDataset
from .body3d_semi_supervision_dataset import Body3DSemiSupervisionDataset
__all__ = ['Body3DH36MDataset', 'Body3DSemiSupervisionDataset']
|
4817747 | import shutil
import os
import sys
import logging
sys.path.append(os.path.join(os.path.dirname(__file__), '..', '..', 'project'))
from import_libs import ConfigParser as ConfigParser
logging.basicConfig(level=logging.DEBUG, format='%(levelname)s - %(name)s - %(message)s')
if __name__ == '__main__':
pa... |
4817753 | from tests import Asset
correct_asset = {
"type": "aws_s3_bucket",
"id": "arn:aws:s3:::sample-id-model",
"display_name": "Bucket: Sample ID",
"link": "https://localhost.com",
"metadata": {
"aws_s3_bucket_name": {
"priority": 50,
"value": "sample-id"
... |
4817759 | import ipaddress
from django import forms
from dcim.models import Device, Site
from utilities.forms import BootstrapMixin
from .models import BgpPeering
class BgpPeeringForm(BootstrapMixin, forms.ModelForm):
"""Form for creating a new BgpPeering object."""
class Meta:
model = BgpPeering
fi... |
4817766 | import time
import serial
import threading
class SMA:
def __init__(self, window):
self.window = window
self.values = []
def append(self, value):
if len(self.values) > self.window - 1: self.values.pop(0)
self.values.append(value)
def calculate(self):
return sum(sel... |
4817767 | import json
import yaml
from redstack.domain.node import Node
from redstack.exceptions import NodeNotFoundException
class Cluster:
def __init__(self, ssh_user=None, private_key=None, key_name=None, cluster_name=None,
template_file=None, fqdn_address=None, json_file=None):
# type: (str, ... |
4817787 | import urllib, urllib2, cookielib
import requests
from lxml import html
import time
from time import sleep
import sched
import notify2
# set your credentials
# username is mobile number
# registered on way2sms
username = 'way2smsUsername'
password = '<PASSWORD>'
# credentials for aitplacements.com
AITusername = 'AITu... |
4817812 | import pytest
from cartoframes.viz.popup import Popup
class TestPopup(object):
def test_is_popup_defined(self):
"""Popup"""
assert Popup is not None
def test_popup_init(self):
"""Popup should be properly initialized"""
popup_click_1 = Popup('click', 'pop')
popup_hover... |
4817815 | import time
class Joc:
"""
Clasa care defineste jocul. Se va schimba de la un joc la altul.
"""
NR_COLOANE = 7
NR_LINII = 6
NR_CONNECT = 4 # cu cate simboluri adiacente se castiga
SIMBOLURI_JUC = ['X', '0'] # ['G', 'R'] sau ['X', '0']
JMIN = None # 'R'
JMAX = None # 'G'
GOL... |
4817824 | import unittest
from borax.structures.percentage import Percentage
class PercentTestCase(unittest.TestCase):
def test_basic_use(self):
p = Percentage(total=100)
p.increase(34)
self.assertEqual(100, p.total)
self.assertEqual(34, p.completed)
self.assertAlmostEqual(0.34, p.... |
4817839 | import torch.nn.functional as F
import pyrtools as pt
import numpy as np
import torch
class IW_SSIM():
def __init__(self, iw_flag=True, Nsc=5, blSzX=3, blSzY=3, parent=True,
sigma_nsq=0.4, use_cuda=False, use_double=False):
# MS-SSIM parameters
self.K = [0.01, 0.03]
self.L... |
4817867 | from transducer._util import UNSET
from transducer.infrastructure import Reduced
# Transducible processes
async def transduce(transducer, reducer, aiterable, init=UNSET):
r = transducer(reducer)
accumulator = r.initial() if init is UNSET else init
async for item in aiterable:
accumulator = r.step... |
4817881 | class AsyncIteratorWrapper:
def __init__(self, obj):
self._it = iter(obj)
def __aiter__(self):
return self
async def __anext__(self):
try:
value = next(self._it)
except StopIteration:
raise StopAsyncIteration
return value
asy... |
4817890 | from pydantic import BaseModel
from prisma.generator import GenericGenerator, GenericData, Manifest
# custom options must be defined using a pydantic BaseModel
class Config(BaseModel):
my_option: int
# we don't technically need to define our own Data class
# but it makes typing easier
class Data(GenericData[Con... |
4817919 | import matplotlib.pyplot as plt
from skidl.pyspice import *
lib_search_paths[SPICE].append("")
vs = V(ref="VS", dc_value=1 @ u_V)
r = R(value=0 @ u_Ohm)
splib = SchLib(
"/media/devb/Main/TEMP/skywater-pdk/libraries/sky130_fd_pr/latest/models/sky130.lib.spice",
recurse=True,
lib_section="tt",
)
nfet = Par... |
4817946 | import unittest
import tests.settings_mock as settings_mock
from tests.activity.classes_mock import FakeLogger
from workflow.workflow_PackagePOA import workflow_PackagePOA
class TestWorkflowPackagePOA(unittest.TestCase):
def setUp(self):
self.workflow = workflow_PackagePOA(
settings_mock, Fake... |
4817967 | from whatshap.core import readselection
from whatshap.testhelpers import string_to_readset
def test_selection():
reads = string_to_readset("""
1 1
00
0 1
10 1
1 1
11
0 1
1 1
""")
selected_reads = readselection(reads, max_cov = 1, preferred_source_ids = None, bridging = False)
... |
4817968 | import os
import csv
import tqdm
import textgrid
import argparse
import pandas as pd
parser = argparse.ArgumentParser()
parser.add_argument("--lang", help="target language")
args = parser.parse_args()
WORD_TABLE_COLUMNS = ['id', 'word_time', 'word_text']
root = os.path.dirname(os.path.dirname(os.path.abspath(__file_... |
4817979 | import numpy as np
import gym
from rllab.baselines.linear_feature_baseline import LinearFeatureBaseline
from pytorchrl.algos.irl_trpo import IRLTRPO
from pytorchrl.envs.gym_env import GymEnv
from pytorchrl.irl.airl import AIRL
from pytorchrl.policies.gaussian_mlp_policy import GaussianMLPPolicy
from pytorchrl.misc.lo... |
4817995 | import torch
import torch.nn as nn
import pdb
class Resnet50_X4(nn.Module) :
def __init__(self):
super(Resnet50_X4, self).__init__()
norm_layer = nn.BatchNorm2d
self.conv2d = nn.Conv2d(3, 256, kernel_size=7, stride=2, padding=3,
bias=False)
self.bat... |
4817997 | import sys
sys.path.insert(0,'..')
from keras import backend as K
from keras.utils.layer_utils import convert_all_kernels_in_model
import inception_v4
import numpy as np
import itertools
import pickle
import re
def atoi(text):
return int(text) if text.isdigit() else text
def natural_keys(myobject):
return [ ... |
4818021 | import logging
import re
from typing import Dict, Iterator, List, Any
from HABApp.openhab.definitions.helpers.log_table import Table
from ._log import log
THING_ALIAS: Dict[str, str] = {
'thing_uid': 'UID',
'thing_type': 'thingTypeUID',
'thing_location': 'location',
'thing_label': 'label',
'bridge... |
4818074 | from tinydb import TinyDB, Query
import os
import json
import youtube_metadata
import logging
from googleapiclient.errors import HttpError
from time import sleep
def store_metadata(db_fn: str, video: dict):
"""
Store the given videos_metadata
:param db_fn:
:param video:
:return:
"""
loggin... |
4818118 | import abc
from typing import *
from dropSQL.engine.types import *
from dropSQL.generic import *
from dropSQL.parser.streams import *
from dropSQL.parser.tokens import *
if TYPE_CHECKING:
from dropSQL import fs
__all__ = ['Ast', 'AstStmt', 'FromSQL']
class Ast(metaclass=abc.ABCMeta):
@abc.abstractmethod
... |
4818120 | from django.db import models
from django.utils import timezone
from ckeditor.fields import RichTextField
class Server(models.Model):
server_name = models.CharField(max_length=16)
server_ip = models.CharField(max_length=32)
rcon_password = models.CharField(max_length=100)
rcon_port = models.IntegerFiel... |
4818163 | import traceback
import re
import json
from common.repository import Repository
from common.logger import get_logger
from common.utils import extract_payload
from common.utils import format_error_message
from common.utils import generate_lambda_response
from common.utils import Utils
from common.utils import validate_d... |
4818174 | import json
import sys
import falconn # install via "pip install falconn"
import math
import numpy as np
from timeit import default_timer as mytimer
import tqdm
import cifar10
import tinyimages
if len(sys.argv) != 3:
print('Need two cmd line arguments: offset and num_images.')
sys.exit(0)
offset = int(sy... |
4818224 | from csv_export.views import CSVExportView
from .models import Car, FieldTest, Pizza, Place
class FieldTestView(CSVExportView):
model = FieldTest
fields = ("date", "datetime", "choice", "empty_choice", "integer_choice", "my_property")
class FieldTestAllView(CSVExportView):
model = FieldTest
fields ... |
4818241 | import tensorflow as tf
from tensorflow import keras
import numpy as np
class TLSTM_layer(keras.layers.Layer):
"""
Time-ware LSTM inherits from tf.keras.layers.Layer. Implmentation is based on [1]
[1] Baytas, <NAME>., <NAME>, <NAME>, <NAME>, <NAME>, and <NAME>. “Patient Subtyping
via Time-Aware LSTM N... |
4818242 | from tokenizers import Tokenizer
from tokenizers import normalizers
from tokenizers.trainers import WordPieceTrainer
from tokenizers.models import WordPiece
from tokenizers.normalizers import Lowercase
from tokenizers.pre_tokenizers import Whitespace
import glob
tokenizer = Tokenizer(WordPiece())
tokenizer.pre_tokeniz... |
4818246 | import unittest
import json
import os
from sulley.config import Config
class TestConfig(unittest.TestCase):
def _create_config_file(self, config, file_name='config.json'):
# write a config object to the the file in cwd
with open(file_name, 'w') as f:
f.write(json.dumps(config))
de... |
4818300 | from ..cw_model import CWModel
class PurchaseOrderLineItem(CWModel):
def __init__(self, json_dict=None):
# With: id(Integer)
# Search: ^(\s*)(\*?)([_a-z0-9]*)\s?(\(.*$)
# Replace: $1self.$3 = None # $2$4
# To get: self.id = None # (Integer)
self.id = None # (Integer)
... |
4818336 | from gevent import monkey
monkey.patch_all()
import copy
import pytest
from webtest import TestApp
from channelstream.cli import SHARED_DEFAULTS
from channelstream.cli.start import RoutingApplication
def gen_signature(secret):
from itsdangerous import TimestampSigner
signer = TimestampSigner(secret)
r... |
4818355 | from Geometry.GEMGeometryBuilder.gemGeometry_cfi import gemGeometry
from Configuration.ProcessModifiers.dd4hep_cff import dd4hep
dd4hep.toModify(gemGeometry, fromDDD = False, fromDD4Hep = True)
|
4818435 | import torch
import torch.nn as nn
from nflows.flows import ConditionalGlow
from yacs.config import CfgNode
from typing import Optional, Tuple
class SkeletonFlow(nn.Module):
def __init__(self, cfg: CfgNode):
"""
Probabilistic 3D pose prediction head using Normalizing Flows.
Args:
... |
4818441 | import datetime
import logging
import pynmea2
import salt.loader
from messaging import EventDrivenMessageProcessor, extract_error_from
from salt_more import SuperiorCommandExecutionError
from serial_conn import SerialConn
from threading_more import intercept_exit_signal
log = logging.getLogger(__name__)
context = {... |
4818473 | from . import views
def register_in(router):
router.register(r'azure-images', views.ImageViewSet, basename='azure-image')
router.register(r'azure-sizes', views.SizeViewSet, basename='azure-size')
router.register(
r'azure-locations', views.LocationViewSet, basename='azure-location'
)
router... |
4818484 | from deso.Identity import Identity
from deso.Media import Media
from deso.Metadata import Metadata
from deso.Social import Social
from deso.Derived import Derived
from deso.Posts import Posts
from deso.Trade import Trade
from deso.User import User |
4818554 | from rich.console import Console
from rich.markup import escape
console = Console()
def print_escaped(self, *args, **kwargs):
self.print(escape(*args, **kwargs))
console.print_escaped = print_escaped.__get__(console)
|
4818587 | import argparse
import operator
import threading
import requests
from requests import ConnectionError
import logging
logging.getLogger("scapy.runtime").setLevel(logging.ERROR)
from scapy.all import *
from scapy_http import http
from time import sleep
banner = """
.==. A traffic analyzer to evade Em... |
4818607 | from base64 import b16encode, b32encode, b64encode
from os import urandom
from random import randint
from fakeit.exceptions import InvalidRange
def fake_bytes(min_length=0, max_length=16):
if max_length < min_length:
raise InvalidRange
length = randint(min_length, max_length)
return urandom(leng... |
4818611 | NOTIFICATION_TYPE_FORK = "fork"
NOTIFICATION_TYPE_COMMENT = "comment"
NOTIFICATION_TYPE_STAR = "star"
NOTIFICATION_TYPE_FOLLOWING = "following"
NOTIFICATION_TYPE_ASSIGNMENT = "assignment"
NOTIFICATION_TEMPLATES = {
NOTIFICATION_TYPE_FORK: '%(username)s forked your document.',
NOTIFICATION_TYPE_STAR: '%(usernam... |
4818612 | import _util
def norm_square_list(vector):
norm = 0
for v in vector:
norm += v * v
return norm
def run_experiment(size, num_iter=3):
vector = range(size)
return _util.run(norm_square_list, vector, num_iter)
if __name__ == "__main__":
print run_experiment(1000000, 10)
|
4818615 | import numpy as np
class mlp:
""" A Multi-Layer Perceptron"""
def __init__(self, inputs, targets, n_hidden, beta=1, momentum=0.9,
out_type='sigmoid'):
""" Constructor """
# Set up network size
self.n_in = np.shape(inputs)[1]
self.n_out = np.shape(targets)[1]
... |
4818629 | class Solution:
def maxNumberOfBalloons(self, text: str) -> int:
x = collections.Counter(text)
return min(x['b'], x['a'], x['l']//2, x['o']//2, x['n']) |
4818748 | from gym.envs.registration import register
register(
id='CarlaGymEnv-v1',
entry_point='carla_gym.envs:CarlaGymEnv_v1')
register(
id='CarlaGymEnv-v2',
entry_point='carla_gym.envs:CarlaGymEnv_v2')
|
4818839 | import sys
import os
import logging
import argparse
import json
import time
import re
import pickle as pkl
import six
import numpy as np
import torch
import torch.nn.functional as F
import progressbar
from sklearn.metrics import accuracy_score, classification_report
from allennlp.modules.elmo import Elmo, batch_to_ids... |
4818853 | from tequila.hamiltonian import PauliString
if __name__ == "__main__":
testdata = {0: 'x', 1: 'y', 2: 'z'}
test = PauliString(data=testdata, coeff=2)
print("test=", test)
print("test: openfermion_key = ", test.key_openfermion())
print("reinitialized: ", PauliString.from_openfermion(key=test.key_ope... |
4818871 | from django.db import models
from openstates.data.models import Bill
class Bundle(models.Model):
slug = models.SlugField(max_length=50, unique=True)
name = models.CharField(max_length=100)
bills = models.ManyToManyField(Bill, through="BundleBill")
class BundleBill(models.Model):
bundle = models.Fore... |
4818877 | import paddle
import numpy as np
import random
import paddle.distributed as dist
import paddle.fluid as fluid
import paddle.distributed.fleet as fleet
def set_random_seed(seed, rank_id):
"""Set random seed for reproducability."""
random.seed(seed)
np.random.seed(seed)
paddle.seed(seed + rank_id)
voc... |
4818886 | import signal
from django.conf import settings
from django.core.management.base import BaseCommand
from waitress import serve
class Command(BaseCommand):
help = 'Run waitress'
def handle(self, *args, **options):
from feedsubs.wsgi import application
def handle_sigterm(*args):
ra... |
4818890 | alphabet = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j', 'k', 'l', 'm',
'n', 'o', 'p', 'q', 'r', 's', 't', 'u', 'v', 'w', 'x', 'y', 'z',
'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J', 'K', 'L', 'M',
'N', 'O', 'P', 'Q', 'R', 'S', 'T', 'U', 'V', 'W', 'X', 'Y', 'Z']
def encryp... |
4818911 | from causal_world.envs import CausalWorld
from causal_world.task_generators import generate_task
from pytorchrl.envs.common import FrameStack, FrameSkip, DelayedReward
def causal_world_train_env_factory(
task=generate_task(task_generator_id='general'),
frame_skip=0, frame_stack=1, inference=False, rew... |
4819065 | from django.views.generic import TemplateView
class AboutTemplateView(TemplateView):
template_name = 'about.html'
|
4819089 | import numpy as np
import sympy
from sympy import cos, sin, sqrt, pi
sympy.var('A, An, T, rho')
t = sympy.Symbol('t')
n = sympy.Symbol('n', integer=True, positive=True)
x = sympy.Symbol('x', positive=True)
L = 7
a = 3*L/4
y0 = sympy.Piecewise((A*x/a, ((x>=0) & (x<=a))),
(A*(L-x)/(L-a), ((x>a) & (x<=L))))
Yn = ... |
4819104 | from typing import Union
import re
from pywikibot import textlib
from .utils import remove_wikimarkup, re_wikidata, re_tag_link, goodValue, sitelink_normalizer, \
parse_wiki_page_title, parse_members
from .consts import languages
import pywikibot as pb
templ_param_map = {
'descrizione': 'description',
'... |
4819154 | import logging
from icrawl_plugin import IContainerCrawler
from utils.crawler_exceptions import CrawlError
from utils.dockerutils import (exec_dockerinspect,
get_docker_container_rootfs_path)
from utils.misc import join_abs_paths
from utils.namespace import run_as_another_namespace, ALL_... |
4819289 | from asyncio import Queue
import binascii
from uuid import UUID, uuid4
import pytest
from photonpump import exceptions
from photonpump import messages_pb2 as proto
from photonpump.conversations import CreatePersistentSubscription
from photonpump.messages import InboundMessage, SubscriptionResult, TcpCommand
def rea... |
4819299 | from pymemcache.client.base import Client
class MemcacheTool(object):
def __init__(self,host,port):
self.client = Client((host, port))
def set(self,key,value):
self.client.set(key, value)
def get(self,key):
return self.client.get(key)
if __name__ == '__main__':
rt = Memcache... |
4819306 | import os
import cv2
import numpy as np
import pickle
from tqdm import trange, tqdm
data_root = '/pathe/to/LV-MHP-v1/'
img_root = data_root + 'images/'
ann_root = data_root + 'annotations/'
global_seg_root = data_root + 'global_seg/'
def obtain_ann_dict(img_root, ann_root):
ann_dict={}
assert(os.path.isdir(i... |
4819308 | class Solution:
def binaryGap(self, N: int) -> int:
N = bin(N)[2:]
prev = None
mx = 0
for i, c in enumerate(N):
if c == '1':
if prev is not None:
mx = max(mx, i - prev)
prev = i
return ... |
4819331 | from ..builder import DETECTORS
from .single_stage import SingleStageDetector
@DETECTORS.register_module()
class DETR(SingleStageDetector):
r"""Implementation of `DETR: End-to-End Object Detection with
Transformers <https://arxiv.org/pdf/2005.12872>`_"""
def __init__(self,
backbone,
... |
4819351 | import idaapi
import ptvsd
try:
# Enable the debugger. Raises exception if called more than once.
ptvsd.enable_attach(secret="IDA")
except:
pass
class DebugPlugin(idaapi.plugin_t):
flags = idaapi.PLUGIN_FIX
comment = "PTVSD Debug Enable"
help = "Enable debugging using PTVSD"
wanted_name =... |
4819361 | from dynaconf import settings
assert settings.PY_MERGE_LIST == [1, 2], settings.PY_MERGE_LIST
assert settings.PY_MERGE_DICT == {"a": 1, "b": 2}, settings.PY_MERGE_DICT
for filename in [
"settings.py",
"settings.local.py",
"settings.toml",
"settings.local.toml",
"settings.yaml",
"settings.local... |
4819390 | import datetime
def arange_by_date(attribute):
strs = [attribute[i].__str__() for i in range(len(attribute))]
try:
dates = [dt_format(attribute[i].date) for i in range(len(attribute))]
except:
dates = [dt_format(attribute[i].start_date) for i in range(len(attribute))]
strs = [m for _,m in sorted(zip(dates,strs... |
4819416 | import numpy as np
import pandas as pd
import random
from sklearn import datasets
from sklearn.preprocessing import MinMaxScaler
def Skl_scale(data):
newdata = data.copy()
for i in newdata.index:
scaler = MinMaxScaler(feature_range=(0,10000))
scaler = scaler.fit(newdata.loc[i,:].values.reshape(... |
4819419 | def __find_middle(input_list):
middle = float(len(input_list)) / 2
if middle % 2 != 0:
return int(middle - .5)
else:
return int(middle)
def __convert(s):
# initialization of string to ""
new = ""
# traverse in the string
for x in s:
new += x
# return strin... |
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