content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
#!usr/bin/python
import re
target = open ("linkage_mates.txt","w")
with open ("mate_aligned.txt", "r") as f:
fam={}
fam_mate={}
lines = f.readlines()
for line in lines:
line_split = line.split("\t", 1)
try:
fam[line_split[0]]
fam[line_split[0]].append(line_split[1])
except KeyErr... | [
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5855,
9830,
62,
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13,
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1600,
366,
81,
4943,
355,
... | 1.976861 | 994 |
x = False
while x == False:
value = input("Enter the number between 0-9 : ")
try :
value = int(value)
if value > 9:
print("Your value is over 9")
elif value < 0:
print("Your value is less than 0")
else:
print("Your value is ",value)
... | [
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493... | 2.146739 | 184 |
#!/usr/bin/env python3
# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
#!/usr/bin/env python3
import multiprocessing
import os
import unittest
from typing imp... | [
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2,
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318,
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739,
262,
347,
10305,
12,
76... | 3.152542 | 177 |
from typing import Any
from typing import Dict
| [
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360,
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] | 4.363636 | 11 |
"""Test for asyncprawcore.auth.Authorizer classes."""
import pytest
import asyncprawcore
from ..conftest import two_factor_callback # noqa F401
from . import IntegrationTest
| [
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62,
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4742... | 3.25 | 56 |
# https://github.com/pratogab/batch-transforms
import torch
class Normalize:
"""Applies the :class:`~torchvision.transforms.Normalize` transform to a batch of images.
.. note::
This transform acts out of place by default, i.e., it does not mutate the input tensor.
Args:
mean (sequence):... | [
2,
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262,
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4871,
25,
63,
93,
13165,
354,
10178,
13,... | 2.358811 | 471 |
from flask import (
current_app,
flash,
Blueprint,
render_template,
request,
redirect,
url_for,
abort,
make_response,
)
from ..models import Option, Page, User, Category, Tag, Post, Comment, Link
from ..extensions import db
from ..forms import (
LoginForm,
PostForm,
PageF... | [
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7644,
11,
198,
220,
220,
220,
39932,
11,
198,
220,
220,
220,
8543,
62,
28243,
11,
198,
220,
220,
220,
2581,
11,
198,
220,
220,
220,
18941,
11,
1... | 2.498118 | 797 |
import http
import io
from unittest import mock
import pytest
import requests_mock
from django.conf import settings
from requests.exceptions import HTTPError
from core import helpers
from core.tests.helpers import create_response
@pytest.fixture(autouse=True)
@mock.patch('core.helpers.boto3')
@mock.patch('core.... | [
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198,
6738,
7007,
13,
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11755,
1330,
14626,
12331,
19... | 2.994253 | 174 |
"""init file for py2nb"""
from .py2nb import py2nb
from .nb2py import nb2py | [
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17,
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] | 2.533333 | 30 |
import os
import pytest
import boto3
import base64
from moto import mock_s3
from firehose_replicator import firehose_replicator
ECS_BUCKET_NAME = "the-ecs-bucket"
ECS_OBJECT_PREFIX = "cv/wydot"
os.environ["ECS_BUCKET_NAME"] = ECS_BUCKET_NAME
os.environ["ECS_OBJECT_PREFIX"] = ECS_OBJECT_PREFIX
@mock_s3
| [
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62,
82,
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71,
577,
62,
35666,
26407,
1330,
2046,
71,
577,
62,
35666,
26407,
198,
198,
2943... | 2.257353 | 136 |
from python_helper.api.src.service import LogHelper, ReflectionHelper
from python_helper.api.src.domain import Constant as c
| [
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13,
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525,
13,
15042,
13,
10677,
13,
27830,
1330,
20217,
355,
269,
198
] | 3.571429 | 35 |
###################THIS FILE DOES NOT WORK#################
import requests
import html_to_json
#URL = "https://modelo-prueba.herokuapp.com/result"
url = "http://127.0.0.1:8080/result"
data = {'a':1, 'b':2, 'c':3, 'd':4}
####################Alternativa1###############################
r = requests.post(url,data=data)... | [
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12,
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518,
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13,
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1324,
13,
785,
14,
20... | 2.516667 | 180 |
from chris_plugin.types import ParameterType
import logging
from typing import Union
class Placeholders:
"""
The ChRIS store requires a default value to be provided for
arguments which are optional, however argparse doesn't care.
If the ChRIS plugin does not specify a default for an argument
that ... | [
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198,
220,
220,
220,
383,
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49,
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3650,
4433,
257,
4277... | 2.849372 | 239 |
import numpy as np
import random
from collections import deque
| [
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198,
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390,
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198
] | 4.2 | 15 |
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
if __name__ == '__main__':
feature = torch.randn(1, 32, 128, 256)
# canvas_transform(feature)
# grid_test()
# grid_canvas = create_grid_canvas(feature)
# print(grid_canvas.shape)
# grid_canvas = normalize_g... | [
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2... | 2.640884 | 181 |
#! /usr/local/bin/python3.5
import socket
import struct
import textwrap
import binascii
import struct
import sys
TAB_1 = '\t - '
TAB_2 = '\t\t - '
TAB_3 = '\t\t\t - '
TAB_4 = '\t\t\t\t - '
DATA_TAB_1 = '\t '
DATA_TAB_2 = '\t\t '
DATA_TAB_3 = '\t\t\t '
DATA_TAB_4 = '\t\t\t\t '
# Unpack Ethernet Fram... | [
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16,
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... | 2.187234 | 235 |
# Copyright 2016 Ericsson AB
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | [
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428,
... | 2.578704 | 432 |
#!/usr/bin/python
#
# Generate test cases for version_test.go
#
# Herein lies my first ever python script...
#
import rpm
versions = [
"",
"0",
"1",
"2",
"10",
"100",
"0.0",
"0.1",
"0.10",
"0.99",
"1.0",
"1.99",
"2.0",
"0.0.0",
"0.0.1",
"0.0.2",
"0.0.10",
"0.0.99",
"0.1.0",
"0.... | [
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2,
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198,
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796,
... | 1.686016 | 758 |
import json
import csv
DISTRICT = 2
PARTY = 4
VOTE_PERCENTAGE = 8
WINNER = 11
PARTIES = ("NDP", "Liberal", "Conservative", "Bloc Quebecois", "Green")
json_file = open("electoral_districts.json")
districts = json.load(json_file)
## Parse csv file containing individual results
csv_file = "output.csv"
with open(csv_f... | [
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198,
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45,
6322,
1600,
366,
... | 2.409826 | 1,608 |
# Copyright 2020 Iguazio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, soft... | [
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779,
428,
2393,
2845,
287,
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351,
262,
13789,
13,
198,
2,
921,... | 2.911681 | 351 |
import pathlib
import nibabel as nib
import numpy as np
import shutil
import sys
if __name__ == "__main__":
main()
| [
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1388,... | 2.860465 | 43 |
# Copyright (c) 2018, NVIDIA CORPORATION.
"""
This file provide binding to the libgdf library.
"""
import contextlib
import itertools
import numpy as np
import pandas as pd
import pyarrow as pa
from libgdf_cffi import ffi, libgdf
from librmm_cffi import librmm as rmm
from . import cudautils
from .utils import calc_... | [
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284,
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198,
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... | 1.98216 | 5,157 |
"""
Basic transformer, which cleans up the static calm data before sending it off
to an elasticsearch index.
The raw data can be obtained by running:
python monitoring/scripts/download_oai_harvest.py
from the root of this repo. This will create a file called `calm_records.json`.
The elasticsearch credentials (u... | [
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416,
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25,
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220,
220,
220,
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9904,
14,
46521,
... | 2.730689 | 479 |
from .extensions import db, resizer
if resizer:
for size in resizer.sizes.iterkeys():
setattr(Upload, size + '_name', db.Column(db.Unicode(255)))
setattr(Upload, size + '_url', db.Column(db.Unicode(255)))
| [
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198,
220,
220,
220,
220,
220,
220,
220,
900,
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7,
41592,
11... | 2.414894 | 94 |
"""
Train job interacts with SageMaker
"""
import os
import boto3
import numpy as np
import pandas as pd
import sagemaker
# We use the Estimator from the SageMaker Python SDK
from sagemaker.pytorch.estimator import PyTorch
from ...sm_utils import get_sm_execution_role
ON_SAGEMAKER_NOTEBOOK = False
# preparation
sm... | [
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279,
67,
198,
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45229,
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198,
198,
2,
775,
779,
262,... | 2.53507 | 499 |
# Internal
from warnings import warn
from contextlib import AsyncExitStack
warn(
"async_tools.context.async_context_manager is deprecated, use contextlib instead",
DeprecationWarning,
)
__all__ = ("AsyncExitStack",)
| [
2,
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... | 3.228571 | 70 |
#===============================================================================
# Imports
#===============================================================================
from evn.util import (
Constant,
)
#===============================================================================
# Constants
#==============... | [
2,
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198,
2,
4757,
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198,
2,
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... | 7.172414 | 87 |
from .experiment_runner import ExperimentRunner
if __name__ == '__main__':
exp_runner = ExperimentRunner()
print("Running Experiment\n")
exp_runner.run()
print("Experiment complete!.\n")
| [
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59,
... | 3.104478 | 67 |
from suds.client import Client
client = Client('http://localhost:8000/?wsdl', cache=None)
print(client.service.say_fibonacci(10)) | [
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7,
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13,
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13,
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62,
69,
571,
261,
44456,
7,
940... | 3.046512 | 43 |
"""Stream type classes for tap-chromedata."""
import csv
from pathlib import Path
from typing import Any, Dict, Optional, Union, List, Iterable
from singer_sdk import typing as th # JSON Schema typing helpers
from singer_sdk.streams import Stream
import re
import ftplib
import io
import json
from zipfile import Zip... | [
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19... | 2.489974 | 2,643 |
input_dir = 'data/raw'
output_dir = 'data/processed'
TLHW = ['top', 'left', 'height', 'width']
XYXY = ['x1', 'y1', 'x2', 'y2']
OUT_HEADER = ['file', *XYXY, 'body', 'color']
mappings = {
'supercab': 'ute',
'cab': 'ute',
'minivan': 'people-mover',
'wagon': 'station-wagon',
} | [
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... | 2.171642 | 134 |
#!/Applications/anaconda/envs/Python3/bin
import socket
def main():
'''Example Creating a Simple Client Using the socket Module'''
HOST = '127.0.0.1'
PORT = 50002
incomingMessage = ''
outgoingMessage = ''
# s is socket object for IPv4, TCP
s = socket.socket(socket.AF_INET , socket.SOCK_S... | [
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6,
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import numpy as np
if __name__ == '__main__':
main()
| [
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220,
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] | 2.4 | 25 |
import pandas as pd
import re
import numpy as np
import math
import torch
| [
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# Zeit wird gezaehlt
import pygame, math, random, time
from pygame.locals import *
import PIL.Image as Image
import numpy as np
import random
import time
import torch
import torch.nn as nn
from torch.autograd import Variable
import os, sys
os.environ["SDL_VIDEODRIVER"] = "dummy"
#
| [
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... | 2.798077 | 104 |
import asyncio
import unittest
from typing import Awaitable, Callable
import asynctest
from checklisting.result import MultiTaskResult, TaskResult
from checklisting.result.status import TaskResultStatus
from checklisting.tasks.services.zookeeper import (ZookeeperMntrResonseValidator,
... | [
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... | 2.331754 | 211 |
# coding: utf-8
import logging
from os import path
from .models.mdsp import Mdsp
from .utils.udefault import load_yaml
from .dao.mongo.daomongo import DaoMongo
from .dao.mongo.daogridfs import DaoGridFS
class Config(object):
''' load all info from etc when starting webservice '''
@staticmethod
@classm... | [
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from pytheas.services import service
from pytheas.viewmodels.viewmodelbase import ViewModelBase
| [
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] | 3.88 | 25 |
import numpy as np
import scipy.io as sio
import os
import matplotlib.pyplot as plt
import pandas as pd
from preprocessing import method_name
from plot_toolbox import plot_error_rate
###############################################################################
### CLASSIFICATION EXPERIMENTS ########################... | [
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import pprint
sl = Solution()
t1 = [[1,3],[2,6],[8,10],[15,18]]
t1 = [Interval(*x) for x in t1]
res = sl.merge(t1)
pprint.pprint(res)
sl = Solution()
t2 = [[1,4],[4,5]]
t2 = [Interval(*x) for x in t2]
res = sl.merge(t2)
print(res)
| [
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... | 1.958678 | 121 |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Program Name: data_mining.py
# Anthony Waldsmith
# 8/03/16
# Python Version 3.4
# Description: Datamining CSV google stocks
# Optional import for versions of python <= 2
from __future__ import print_function
#name: get_data_list
#param: FILE_NAME - the file's name you... | [
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import os
| [
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] | 3.666667 | 3 |
# Copyright (c) Ye Liu. All rights reserved.
import torch
import torch.nn as nn
import nncore
from ..builder import MESSAGE_PASSINGS
from ..bundle import Parameter
@MESSAGE_PASSINGS.register()
@nncore.bind_getter('in_features', 'out_features')
class GCN(nn.Module):
"""
Graph Convolutional Layer introduced i... | [
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import cv2
import numpy as np
from numba import njit
# https://automaticaddison.com/how-to-do-histogram-matching-using-opencv/
def calculate_cdf(histogram: np.ndarray) -> np.ndarray:
"""
This method calculates the cumulative distribution function
:param array histogram: The values of the histogram
:... | [
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import connect
error_message = 'Action is not defined. Please use create, truncate, or drop.'
| [
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{
'variables': {
# may be redefined in command line on configuration stage
'BUILD_LIBRDKAFKA%': 1,
},
"targets": [
{
"target_name": "bindings",
"sources": [ "<!@(ls -1 src/*.cc)", ],
"include_dirs": [
"<!(node -e \"require('nan')\")",
],
'conditions': [
... | [
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... | 1.715248 | 1,633 |
# Sampling from a bivariate normal density via Metropolis-Hastings
# %% Import packages
import matplotlib.pyplot as plt
import numpy as np
import scipy.stats as stats
import seaborn as sns
import torch
from torch.distributions import MultivariateNormal
# from torch.distributions import Normal
from torch.utils.data i... | [
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1174... | 2.682943 | 1,536 |
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | [
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733... | 2.75072 | 694 |
import os
import tensorflow as tf
from inception_resnet_v1 import inference
from triplet_loss_train import InceptionTripletLoss
import numpy as np
import unittest
| [
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... | 3.489362 | 47 |
#!/usr/bin/env python
from setuptools import find_packages,setup
version = '1.0.0'
setup(
name='dizicli',
version=version,
description='Dizi Crawler',
author='Batuhan Osman Taskaya',
author_email='batuhanosmantaskaya@gmail.com',
url='https://github.com/btaskaya/dizicli',
download_url='https... | [
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7,
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#!/usr/bin/env python3
# The prime factors of 13195 are 5, 7, 13 and 29. What is the largest prime factor of the number 600851475143?
if __name__ == "__main__":
assert largest_prime_factor(13195) == 29
assert largest_prime_factor(600851475143) == 6857
| [
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... | 2.89011 | 91 |
"""isort:skip_file"""
from dagster import solid
@solid
@solid
# start_marker
from dagster import AssetStore, ModeDefinition, pipeline, resource
@resource
@pipeline(mode_defs=[ModeDefinition(resource_defs={"asset_store": my_asset_store})])
# end_marker
| [
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... | 2.934066 | 91 |
import unittest
from bacdive.utils import check_allow
if __name__ == "__main__":
unittest.main()
| [
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198,
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555,
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] | 2.641026 | 39 |
from Dirs import *
import Layers
import Model
from Data import *
import pandas as pd
import numpy as np
import time
Lat_Gen()
| [
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355,
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198,
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640,
198,
198,
24220,
62,
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3419,
198
] | 3.175 | 40 |
from grouper import permissions
from grouper.fe.forms import PermissionRequestsForm
from grouper.fe.util import GrouperHandler
from grouper.models import REQUEST_STATUS_CHOICES
class PermissionsRequests(GrouperHandler):
"""Allow a user to review a list of permission requests that they have."""
| [
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6... | 3.716049 | 81 |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2015 mjirik <mjirik@mjirik-Latitude-E6520>
#
# Distributed under terms of the MIT license.
"""
Automatic exposure compensation
"""
import logging
logger = logging.getLogger(__name__)
import argparse
import numpy as np
import matplotlib.py... | [
2,
0,
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7... | 2.5 | 160 |
pkgname = "ninja"
pkgver = "1.10.2"
pkgrel = 0
hostmakedepends = ["python"]
pkgdesc = "Small build system with a focus on speed"
maintainer = "q66 <q66@chimera-linux.org>"
license = "Apache-2.0"
url = "https://ninja-build.org"
sources = [f"https://github.com/ninja-build/ninja/archive/v{pkgver}.tar.gz"]
sha256 = ["ce358... | [
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1382,
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351,
257,... | 2.38674 | 181 |
##lots of imports. Some are unnecessary but I left a lot just to be safe...
import matplotlib.pyplot as plt
import matplotlib
from astropy.io import fits
import numpy as np
import astropy.table as t
import matplotlib.image as img
from scipy.optimize import newton
from pathlib import Path
import math
import matplotlib.c... | [
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1330,... | 1.993074 | 9,529 |
from __future__ import absolute_import
import argparse
import cStringIO
import fnmatch
import os
import re
import struct
import textwrap
from itertools import groupby
from sc2reader.exceptions import FileError
LITTLE_ENDIAN,BIG_ENDIAN = '<','>'
class ReplayBuffer(object):
""" The ReplayBuffer is a wrapper over... | [
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import sqlite3 as sql
from flask import request
from flask_restful import Resource
| [
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198,
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6738,
42903,
1330,
2581,
198,
6738,
42903,
62,
2118,
913,
1330,
20857,
628
] | 4.047619 | 21 |
from SimpleXMLRPCServer import SimpleXMLRPCServer
from SimpleXMLRPCServer import SimpleXMLRPCRequestHandler
import xmlrpclib
#instancio un objeto y conecto el servidor a donde se va a conectar
servidorSuma = xmlrpclib.ServerProxy('http://localhost:9998')
servidorSub = xmlrpclib.ServerProxy('http://localhost:9997')
ser... | [
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... | 2.771014 | 345 |
# Generated by Django 3.2.8 on 2021-11-20 10:01
from django.db import migrations, models
| [
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6738,
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14208,
13,
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1330,
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11,
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] | 2.84375 | 32 |
import dict_tools
import pop.hub
import mock
import pytest
import random
import string
from typing import Any, Dict, List
@pytest.fixture(scope="session", autouse=True)
@pytest.fixture(scope="session", autouse=True)
@pytest.fixture(scope="session")
@pytest.mark.asyncio
@pytest.fixture(scope="module")
@pytest.... | [
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"""
The MIT License
Copyright (c) Tigran Hakobyan. http://tiggreen.me
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, mo... | [
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... | 3.479167 | 528 |
import torch
import torch.nn as nn
import torch.nn.functional as F
| [
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] | 3.285714 | 21 |
import os
import sys
import datetime
import git
from jinja2 import Template
ADD_REQUIREMENTS_MACRO = """
{%- macro add_requirements(fname) -%}
# Requirements populated from {{fname}}
{% for requirement in read_requirements(fname) -%}
RUN pip install "{{ requirement }}"
{% endfor -%}
{%- endmacro -%}
"""
if __n... | [
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62... | 2.757576 | 132 |
import calendar
print(calendar.month(2018, 8)) #This is for particular month calendar
print(calendar.calendar(2020)) #This if for printing whole year calendar
| [
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... | 3.458333 | 48 |
"""Simulation"""
| [
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198
] | 3.4 | 5 |
# https://leetcode.com/problems/all-oone-data-structure/
#
# algorithms
# Hard (29.33%)
# Total Accepted: 17,753
# Total Submissions: 60,523
# Your AllOne object will be instantiated and called as such:
# obj = AllOne()
# obj.inc(key)
# obj.dec(key)
# param_3 = obj.getMaxKey()
# param_4 = obj.getMinKey()
| [
2,
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2,
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2,
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2,
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276,
25,
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11,... | 2.578512 | 121 |
"""
This app creates a simple sidebar layout using inline style arguments and the
dbc.Nav component.
dcc.Location is used to track the current location. There are two callbacks,
one uses the current location to render the appropriate page content, the other
uses the current location to toggle the "active" properties o... | [
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11,
198... | 2.472622 | 694 |
# Copyright Materialize, Inc. and contributors. All rights reserved.
#
# Use of this software is governed by the Business Source License
# included in the LICENSE file at the root of this repository.
#
# As of the Change Date specified in that file, in accordance with
# the Business Source License, use of this software... | [
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... | 2.314063 | 1,920 |
import numpy as np
import cv2
from tqdm import tqdm
"""
Recovery Function takes a query of frames from a compressed video and returns the original frames of the video,
function needs the compressed videos meta data and returns two lists, one list contains lists of rame sequences in the order
of the indexes passed to t... | [
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2... | 3.192 | 250 |
from .base import BaseTest
from .fixtures import fixtures_wrapper
| [
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from ctypes import *
import math
import random
import os
import cv2
import numpy as np
import time
import darknet
import chcone
import serial
CAM_NUM = 3
DANGER = 150
a = range(-75,-26)
b = range(-26,-19)
c = range(-19,-13)
d = range(-13,-7)
e = range(-7,0)
f = range(0,7)
g = range(7,13)
h = range(13,19)
i = range(19... | [
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... | 2.225092 | 271 |
#from domains import * | [
2,
6738,
18209,
1330,
1635
] | 4.4 | 5 |
import torch
import torch.nn as nn
import torch.nn.functional as func
from torchsupport.modules.normalization import AdaptiveBatchNorm
| [
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] | 3.777778 | 36 |
#####################################################################################
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# This source code is subject to terms and conditions of the Microsoft Public License. A
# copy of the license can be found in the License.html file at the root of this... | [
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4... | 3.007669 | 652 |
from acondbs.github.ops import update_org_member_lists
##__________________________________________________________________||
##__________________________________________________________________||
| [
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] | 6.862069 | 29 |
from application import EnvironmentController
from domain.model.environment import EnvironmentRepository
from flask_restx import Namespace, fields, Resource
from flask_restx.reqparse import RequestParser
from .EnvironmentMapperImpl import EnvironmentMapperImpl
from .EnvironmentDTOImpl import EnvironmentDTOImpl
from i... | [
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46677... | 4.11811 | 127 |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from communication import Result
from communication import State
| [
2,
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"""Email.Cloud Queue Management
This application allows you to manage the queue of Email.Cloud through a
webapplication.
Author: henk.vanachterberg@broadcom.com
"""
from app import create_app, db
from app.models import GlobalQueue, DomainQueue
from app.api import queryQueue
from random import randrange
app = create_... | [
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... | 3.377049 | 122 |
# Copyright (c) 2020 Graphcore Ltd. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | [
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2,
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743,
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428,
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118... | 3.459364 | 283 |
"""Setup the package."""
import os
from setuptools import setup, find_packages
# get the version
version = None
with open(os.path.join('sp_experiment', '__init__.py'), 'r') as fid:
for line in (line.strip() for line in fid):
if line.startswith('__version__'):
version = line.split('=')[1].strip(... | [
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7,
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62,
... | 2.31162 | 568 |
import carla_utils as cu
import time
import numpy as np
import carla
if __name__ == "__main__":
client, world, town_map = cu.connect_to_server('127.0.0.1', 2000, timeout=2.0, map_name='None')
vehicle = cu.get_actor(world, 'vehicle.bh.crossbike', 'hero')
c = CapacController(vehicle, 10)
traj... | [
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11,... | 2.146018 | 226 |
# pragma pylint: disable=missing-docstring
import json
from shapely.geometry import Point
from mobility_pipeline.lib.voronoi import load_cell
| [
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3... | 3.222222 | 45 |
# -*- coding: utf-8 -*- #
"""*********************************************************************************************"""
# FileName [ attention.py ]
# Synopsis [ Sequence to sequence attention module for Tacotron ]
# Author [ Ting-Wei Liu (Andi611) ]
# Copyright [ Copyleft(c), Speech Lab, ... | [
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... | 3.443325 | 397 |
import cv2
import threading
| [
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] | 3.222222 | 9 |
#!/usr/bin/env python
#
# Copyright 2007 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | [
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... | 3.370021 | 954 |
filter(name__startswith='Re', age__lt=40, city__endswith='aulo')
| [
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] | 2.444444 | 27 |
import warnings
from . import ga
from .mv import Mv
# galgebra 0.5.0
warnings.warn(
"The `galgebra.deprecated` module is deprecated",
DeprecationWarning, stacklevel=2)
################################# MV class for backward compatibility ###################
class MV(Mv):
""" A deprecated version of :cl... | [
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220,
220,
220,
366,
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3102... | 2.454628 | 1,102 |
from EPUIKit.widget.flowlayout import FlowLayout
from EPUIKit.widget.label import Label
from EPUIKit.widget.layout import Layout
from EPUIKit.widget.quadrantslayout import QuadrantsLayout
from EPUIKit.widget.widget import Widget
| [
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6738,
... | 3.318841 | 69 |
"""Decrypt the keys of a settings JSON file."""
import argparse
import os
from intervention_system.deploy import settings_key_path as default_keyfile_path
from intervention_system.deploy import client_config_cipher_path as default_input_path
from intervention_system.deploy import client_configs_path
from intervention_... | [
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... | 2.92723 | 426 |
import argparse
import json
import os
from snapcastr.snapcastr import Snapcastr
from xdg import XDG_CONFIG_HOME
CONFIG_FILE = f"{XDG_CONFIG_HOME}/snapcastr.json"
HOST="0.0.0.0"
PORT=5000
SC_HOST="localhost"
if __name__ == "__main__":
main()
| [
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... | 2.375 | 104 |
import argparse
import os
from Common.load_manager import SourceDataLoadManager
from Common.build_manager import GraphBuilder
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="Transform data sources into KGX files. Build neo4j graphs.")
parser.add_argument('-t', '--test_mode', action='... | [
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from collections import deque
q = deque()
q.append(1)
q.append(2)
q.append(3)
print(q)
print(q.pop())
print(q.pop())
print(q.pop())
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... | 2.177419 | 62 |
'''
Longest Common Prefix
Write a function to find the longest common prefix string amongst an array of strings.
If there is no common prefix, return an empty string ''.
Input: ['flower', 'flow', 'flight']
Output: 'fl'
Input: ['dog', 'racecar', 'car']
Output: ''
Input: ['aa', 'a']
Output: 'a'
=====================... | [
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198... | 3.222222 | 324 |
from distutils.core import setup, Command
from distutils.command.install_data import install_data
from distutils.dir_util import remove_tree
from distutils import log
from os import path, makedirs, walk, environ
from shutil import copyfile
from subprocess import call
from sys import version_info
if version_info[0] >=... | [
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... | 2.341722 | 755 |
from ..utils.preprocessing import data_preprocess
from ..utils.api import api_handler
from ..utils.decorators import detect_batch_decorator
@detect_batch_decorator
def facial_localization(image, cloud=None, batch=False, api_key=None, version=None, **kwargs):
"""
Given an image, returns a list of faces found w... | [
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import web
import json
from bson.objectid import ObjectId
from config import setting
import app_helper
db = setting.db_web
# 病种分类入口（根目录）
url = ('/app2/category')
GEN_SIGN = {
0 : '',
1 : '●',
2 : ' ►',
3 : ' ★',
4 : ' ◆',
}
# -----------------... | [
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... | 1.856322 | 174 |
import bs4 as bs
import datetime
import urllib.request
from django.views.generic import ListView
from .models import Job
from django.shortcuts import render, redirect
# last = Job.objects.raw('SELECT * FROM joblist_job LIMIT 1')[0]
# jobtime = last.date
# print(jobtime)
# time = datetime.date.today()
# print(time)... | [
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