content stringlengths 1 1.04M | input_ids listlengths 1 774k | ratio_char_token float64 0.38 22.9 | token_count int64 1 774k |
|---|---|---|---|
# Baker, Aiden
# 2/10/2021
# DoNow1.2
print("Sensei, I am ready for the next stage in my training!") | [
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"""Importing routines for tif data."""
# Copyright 2019 CSIRO (Data61)
#
# 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 b... | [
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'''
https://community.topcoder.com/stat?c=problem_statement&pm=13458
'''
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T = int(input())
lst = []
while T>0:
l = [0,0]
a,b = input().split()
Pc, Pr = int(a), int(b)
Pcs = str(Pc)
Prs = str(Pr)
if len(Pcs)==1:
cdigit = 1
else:
if Pc%9==0:
cdigit = Pc//9
else:
cdigit = Pc//9 +1
if len(Prs) == 1:
rdigit = ... | [
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6... | 1.580321 | 498 |
# Copyright 2017 The TensorFlow Lattice Authors.
#
# 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 a... | [
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... | 3.602339 | 342 |
import sys
if __name__ == "__main__":
sol()
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#!/usr/bin/python3
"""
Post processes the line and toggle coverage reports from verilator into
something which is easier to read and review.
"""
import os
import re
import sys
import yaml
import argparse
import jinja2
class AnnotatedFile(object):
"""
Describes a single annotated file.
"""
def __in... | [
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... | 2.178344 | 1,727 |
import torch
import warnings
from typing import Callable
# Typing hints: a Point is a tensor with some shape, and a scalar is, well, a single-element tensor
Point = torch.Tensor
Scalar = torch.Tensor
class Manifold(object):
"""Base class for Manifolds with an associated length(). In other words, a Length Space
... | [
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1... | 2.942308 | 728 |
#!/usr/bin/env python
from os.path import join
import numpy as np
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
import netCDF4 as nc4
from e3sm_case_output import day_str
REF_CASE_NAME = "timestep_ctrl"
TEST_CASE_NAME = "timestep_all_10s"
OUTPUT_DIR = "/p/lustre2/santos36/timestep_precip/"... | [
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# coding=utf-8
from django.db import models
from django.utils.translation import ugettext_lazy as _
from positions.fields import PositionField
from .utils import slugify
STATUS = (
(0, _(u'Active')),
(1, _(u'Editing')),
(127, _(u'Deleted')),
)
| [
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# Copyright 2020 - 2021 MONAI Consortium
# 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 wri... | [
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921... | 2.659042 | 4,197 |
TRAINING_DATA_FILE = "gold_entities.jsonl"
KB_FILE = "kb"
KB_MODEL_DIR = "nlp_kb"
OUTPUT_MODEL_DIR = "nlp"
PRIOR_PROB_PATH = "prior_prob.csv"
ENTITY_DEFS_PATH = "entity_defs.csv"
ENTITY_FREQ_PATH = "entity_freq.csv"
ENTITY_DESCR_PATH = "entity_descriptions.csv"
LOG_FORMAT = '%(asctime)s - %(levelname)s - %(name)s - %... | [
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#Guru
#takes fasta alignments, a distance metric and builds neighbor joining trees
import os, sys
from galaxy import eggs
from galaxy.tools.util import hyphy_util
#Retrieve hyphy path, this will need to be the same across the cluster
tool_data = sys.argv.pop()
HYPHY_PATH = os.path.join( tool_data, "HYPHY" )
H... | [
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... | 2.547464 | 769 |
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | [
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... | 3.757511 | 466 |
#!/usr/bin/env python3
'''
Copyright 2018, VDMS
Licensed under the terms of the BSD 2-clause license. See LICENSE file for terms.
/collated endpoints. Designed to return info about audit by audit, pop & srvtype.
Accepts a regex filter for the main name
```swagger-yaml
/collated/{collatedType}/ :
get:
descripti... | [
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... | 2.650519 | 867 |
# add.py
# The CIL add instruction
# Copyright 2010 Marty Dill - see LICENSE for details
from Instruction import Instruction
import unittest
from Stack import StackStateException
from Instructions.Instruction import register
from Variable import Variable
register('add', add)
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#!/Users/denisroldan/Projects/talentum-2015-examples/python/demo-django/env/bin/python
from django.core import management
if __name__ == "__main__":
management.execute_from_command_line()
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# this file contains only those settings which are used in developing phase
# and extends base.py settings, which has all the default settings
from django_reusable.settings.base import *
from django_reusable.settings.third_party import *
# SECURITY WARNING: don't run with debug turned on in production!
DEBUG = True
... | [
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# Lint as: python2, python3
# Copyright 2019 The TensorFlow Authors. 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
#
... | [
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1... | 2.716828 | 1,236 |
"""Manager Messages."""
from enum import Enum
from pathlib import Path
from typing import Dict, Optional
from pydantic import BaseModel
from astoria import __version__
from astoria.common.code_status import CodeStatus
from astoria.common.disks import DiskInfo, DiskTypeCalculator, DiskUUID
from astoria.common.metadata... | [
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1... | 2.673854 | 742 |
size = int(input())
matrix = []
for _ in range(size):
matrix.append([int(x) for x in input().split()])
primary_diagonal_sum = 0
secondary_diagonal_sum = 0
for i in range(len(matrix)):
primary_diagonal_sum += matrix[i][i]
secondary_diagonal_sum += matrix[i][size - i - 1]
total = abs(primary_diagonal_sum... | [
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# -*- coding: utf-8 -*-
from zvt.recorders.eastmoney.trading.holder_trading_recorder import *
from zvt.recorders.eastmoney.trading.manager_trading_recorder import *
| [
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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import sys
import tensorflow as tf
from dataset import load_data
from vae import VAE
from conv_vae import ConvVAE
IMAGE_SIZE = 28
IMAGE_PIXELS = IMAGE_SIZE * IMAGE_SIZE
# Define the VAE netw... | [
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"""public facing api."""
from typing import Dict, Tuple
import os
import json
import base64
from . import version as app_version
from cogeo_mosaic.utils import get_hash, _aws_put_data
from lambda_proxy.proxy import API
app = API(name="cogeo-watchbot-api", debug=True)
@app.route("/upload", methods=["POST"], cors=... | [
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... | 2.571031 | 359 |
import os
from .base import *
# DEBUG
# ------------------------------------------------------------------------------
DEBUG = True
# SECRET CONFIGURATION
# See: https://docs.djangoproject.com/en/dev/ref/settings/#secret-key
# Note: This key only used for development and testing.
# -----------------------------------... | [
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"""
All of pandas' ExtensionArrays.
See :ref:`extending.extension-types` for more.
"""
from pandas.core.arrays import (
Categorical, DatetimeArray, IntegerArray, IntervalArray, PandasArray,
PeriodArray, SparseArray, TimedeltaArray)
__all__ = [
'Categorical',
'DatetimeArray',
'IntegerArray',
'I... | [
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... | 2.552147 | 163 |
import mmcv
import numpy as np
from mmdet3d.core.points import BasePoints, get_points_type
from mmdet.datasets.builder import PIPELINES
from mmdet.datasets.pipelines import LoadAnnotations
@PIPELINES.register_module()
class MyResize(object):
"""Resize images & bbox & mask.
This transform resizes the input i... | [
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import os
from multiprocessing.dummy import Pool as ThreadPool
import requests
import xlsxwriter
from pyslurpers import JsonSlurper
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
if __name__ == "__main__":
total_seconds = 0
config = JsonSlurper.create(
file_n... | [
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... | 2.537594 | 1,330 |
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use ... | [
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... | 2.423253 | 1,531 |
import json
import os
import time
import unittest
from contextlib import closing
import requests
from arch.api.utils import file_utils
from fate_flow.settings import HTTP_PORT, API_VERSION
if __name__ == '__main__':
unittest.main()
| [
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... | 3.24 | 75 |
from django.conf.urls import patterns, url
from projects.views import ProjectsView
urlpatterns = patterns('',
url(r'^$', ProjectsView.as_view(), name='list'),
)
| [
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# dataframe: a data-frame implementation using method piping
#
# Copyright (C) 2016 Simon Dirmeier
#
# This file is part of dataframe.
#
# dataframe is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either versi... | [
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... | 2.933063 | 493 |
my_list = ['Monty', 'Python']
delimiter = ' '
output = delimiter.join(my_list)
print(output) | [
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# TODO(colin): fix these lint errors (http://pep8.readthedocs.io/en/release-1.7.x/intro.html#error-codes)
# pep8-disable:E128
"""Tests for compile_topic_icons.py"""
from __future__ import absolute_import
import cStringIO
import json
import os
import shutil
import PIL.Image
from shared.testutil import testsize
from ... | [
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#!/usr/bin/env python3
import sys
from common import eprint
from pathlib import Path
import argparse
import pathlib
if __name__ == '__main__':
main()
| [
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# coding=utf-8
from test_base import BaseTestCase
if __name__ == '__main__':
TestCase.main()
| [
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import cv2
import numpy as np
import matplotlib.pyplot as plt
def preprocess(image, erodeK, blurK, blurSigma, lowT, upT):
"""
Preprocess an image by eroding (opt.), blurring (opt.), and then applying
Canny edge detector.
Args
- image: numpy nd-array of dim (m, n, c)
- erodeK: size ... | [
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... | 2.1804 | 1,602 |
#=========================================================================
# __init__
#=========================================================================
from ValRdyBundle import InValRdyBundle, OutValRdyBundle
from ParentChildBundle import ParentReqRespBundle, ChildReqRespBundle
from NetMsg ... | [
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guest=['Alberto','Miguel','Jose','Luis']
print('Hola '+guest[0]+', te gustaría cenar esta noche?')
print('Hola '+guest[1]+', te gustaría cenar esta noche?')
print('Hola '+guest[2]+', te gustaría cenar esta noche?')
print('Hola '+guest[3]+', te gustaría cenar esta noche?')
print()
print(guest[1])
guest[1] = 'Eduardo'
p... | [
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""" This file defines utilities used to enforce user roles. """
from flask import current_user
from functools import wraps
from enum import Enum
| [
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] | 4.393939 | 33 |
# -*- coding: utf-8 -*-
# Copyright (c) 2018 MIT Probabilistic Computing Project.
# Released under Apache 2.0; refer to LICENSE.txt.
from collections import Counter
import numpy as np
from cgpm.utils.general import get_prng
from cgpm2.crp import CRP
from cgpm2.normal import Normal
from cgpm2.flexible_rowmix impor... | [
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... | 2.941799 | 189 |
import logging
import time
from sys import stderr, stdout, exit
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser, Namespace
from signal import SIGINT, SIGTERM, Signals, sigwait
from typing import Any, Dict, Optional
from daemon.daemon import DaemonContext # type: ignore[reportMissingTypeStubs]
from ... | [
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... | 3.360902 | 133 |
# -*- coding: utf-8 -*-
"""
Utility/common code of library.
"""
__author__ = 'Grzegorz Latuszek, Marcin Usielski, Michal Ernst, Tomasz Krol'
__copyright__ = 'Copyright (C) 2018-2021, Nokia'
__email__ = 'grzegorz.latuszek@nokia.com, marcin.usielski@nokia.com, michal.ernst@nokia.com, tomasz.krol@nokia.com'
import loggi... | [
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4021... | 2.990826 | 218 |
import time
import socket
import re
import select
import errno
import os
import sys
import platform
import subprocess as ssubprocess
import sshuttle.helpers as helpers
from sshuttle.helpers import log, debug1, debug2, debug3
POLL_TIME = 60 * 15
NETSTAT_POLL_TIME = 30
CACHEFILE = os.path.expanduser('~/.sshuttle.hosts'... | [
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# Library imports
import sys
import numpy as np
# User defined library imports
from file_read import read_shp, get_values
from grid import create_grid
from a_star import search
from prompt_read import read_search_prompt, read_grid_prompt
# Locate file pats
path = "shape/crime_dt"
# Get data's into data frame
df, bbo... | [
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import numpy as np
| [
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] | 3.333333 | 6 |
import torch
import torch.optim as optim
import torch.nn as nn
import numpy as np
import pickle
device = "cuda" if torch.cuda.is_available() else "cpu"
# returns two zero tensors for the initial state of the lstm
| [
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271,... | 3.140845 | 71 |
import discord
from discord.ext import commands
| [
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] | 4.8 | 10 |
import os
import logging
| [
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] | 4.333333 | 6 |
from django.db import models
| [
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628
] | 3.75 | 8 |
import skopt
import os
import numpy as np
import shutil
import sys
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
from framework import lib
from framework import model_neural_trad
from framework import evaluation
from framework import data
from framework import config
#######################################################... | [
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19... | 1.882542 | 14,320 |
from __future__ import print_function
#
# I should write a decent test of the python binding...
#
import sys, os, DLFCN
sys.setdlopenflags(DLFCN.RTLD_GLOBAL+DLFCN.RTLD_LAZY)
from pluginCondDBPyInterface import *
a = FWIncantation()
os.putenv("CORAL_AUTH_PATH","/afs/cern.ch/cms/DB/conddb")
rdbms = RDBMS()
dbName = ... | [
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331... | 2.385542 | 249 |
from emannotationschemas.models import make_dataset_models, InvalidSchemaField
from emannotationschemas.models import make_annotation_model_from_schema
from emannotationschemas.models import Base
import pytest
import marshmallow as mm
| [
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261... | 3.646154 | 65 |
"""
The canonical example of a function that can't be
learned with a simple linear model is XOR
"""
import numpy as np
from joelnet.train import train
from joelnet.nn import NeuralNet
from joelnet.layers import Linear, Tanh
inputs = np.array([
[0, 0],
[1, 0],
[0, 1],
[1, 1]
])
targets = np.array([
... | [
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1... | 2.326923 | 260 |
import sys, uuid
from collections import namedtuple
import seqtools.structure.transcript
from seqtools.range import GenomicRange
Bed12Options = namedtuple('Bed12Options',
['sequence',
'ref',
'gene_name',
'payload'])
Bed12Fields = namedtuple('Bed12Fields',
[
'chrom',
'chromStart',
'chromE... | [
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29... | 2.235802 | 810 |
#! /usr/bin/python
import sys, struct
import xml.dom.minidom
from lmcp import LMCPObject
## ===============================================================================
## Authors: AFRL/RQQA
## Organization: Air Force Research Laboratory, Aerospace Systems Directorate, Power and Control Division
##
## Copyright (... | [
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... | 4.25731 | 171 |
import machine
import ubinascii
# These defaults are overwritten with the contents of /config.json by
# load_config()
CONFIG = {
"broker": "192.168.1.19",
"sensor_pin": 0,
"led_pin": 2,
"client_id": b"esp8266_" + ubinascii.hexlify(machine.unique_id()),
"topic": b"home",
"sleep_seconds": 60,
... | [
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198,
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796,
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198,
220,
220,
220,
366,
79... | 2.185185 | 189 |
import time
import redis
import csv
import sys
import os
conn = redis.Redis()
filename = sys.argv[1]
lines = []
read = csv.reader(open(filename))
lines = [l for l in read]
nice = os.path.splitext(os.path.basename(filename))[0]
# We are doing True so that we'll have a continual flow of data from
# our sample data.
... | [
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13,
853,
85,
58,
16,
60,
198,
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796,
17635,
198,
... | 2.316614 | 319 |
from gcsa.gadget import Gadget
from .base_serializer import BaseSerializer
| [
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] | 3.454545 | 22 |
from django import forms | [
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5107
] | 4.8 | 5 |
# Copyright (c) 2014 Hewlett-Packard Development Company, L.P.
#
# 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 applica... | [
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2,
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2,
49962,
739,
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13,
15,
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1169,
366,
34156,
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198,
2,
345,
743,
407,
779,
428,
239... | 3.726829 | 205 |
import magma as m
from riscv_mini.cache import make_CacheIO
from riscv_mini.data_path import Datapath, make_HostIO
from riscv_mini.control import Control
| [
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... | 3 | 52 |
# main script
# read in list of gendered words from genderwords
# switch them through an intermediary step
import csv
import re
with open ('./data/genderwords.csv') as words:
reader = csv.reader(words)
mydict = {row[0]: row[1] for row in reader}
with open('./data/Harry.txt', 'r') as f1:
with open... | [
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8388,
10879,
13,... | 2.111111 | 1,080 |
import os, sys
PROJECT_DIR = '/www/slicknot'
activate_this = os.path.join(PROJECT_DIR, 'bin', 'activate_this.py')
execfile(activate_this, dict(__file__=activate_this))
sys.path.append(PROJECT_DIR)
from slicknot import app as application
| [
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... | 2.781609 | 87 |
#%%
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
df = pd.read_csv("data_eda.csv")
# choose the relevant columns
#%%
df.columns
#%%
df_model = df[[
"avg_salary",
"Rating",
"Size",
"Type of ownership",
"Industry",
"Sector",
"Revenue",
"num_comp",
"hourly",
... | [
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49... | 1.86258 | 2,496 |
from moonfire_tokenomics.data_types import Allocation, AllocationRecord, Blockchain, Category, CommonType, Sector, Token
bond = Token(
name="BOND",
project="Barnbridge",
sector=Sector.DEFI,
blockchain=[Blockchain.ETH],
category=[Category.GOV],
capped=True,
allocations=[
Allocation(
... | [
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1867... | 2.293924 | 609 |
from bisect import insort
from bsddb3 import db
from builtins import object
from builtins import range
from collections import Counter
from collections import MutableMapping
from collections import defaultdict
from copy import copy
from copy import deepcopy
from distutils.spawn import find_executable
from functools imp... | [
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... | 3.712206 | 893 |
class Base(object):
"""
A class which ensures all subclasses have a basic override of the to string method, and a toLily method
"""
def toLily(self):
'''
Method which in any sub classes produces a string, which is a line of lilypond scripting representing the class
and its var... | [
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... | 2.810458 | 153 |
import warnings
from abc import ABC
from typing import List
from requests import Response
from pybokio._routers.account_routers import AccountIsAuthenticatedRouter, AccountLoginRouter, AccountLogoutRouter
from pybokio.client._base_client import BaseClient
from pybokio.exceptions import AuthenticationError
from pyboki... | [
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"""
Unit and regression test for the molssi_2019 package.
"""
# Import package, test suite, and other packages as needed
import molssi_2019
import pytest
import sys
def test_molssi_2019_imported():
"""Sample test, will always pass so long as import statement worked"""
assert "molssi_2019" in sys.modules
| [
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9288,... | 3.351064 | 94 |
from django.conf import settings
from rest_framework.routers import DefaultRouter, SimpleRouter
from bmh_lims.users.api.views import UserViewSet
from bmh_lims.database.api.views import SampleViewSet, WorkflowBatchViewSet, LabViewSet, ProjectViewSet, \
WorkflowSampleViewSet, WorkflowDefinitionViewSet, WorkflowSampl... | [
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... | 3.239521 | 334 |
# Classes are templates, objects are instances of that class.
# I'll use coins as examples of classes and objects :
coin1 = Penny() # Instantiating the coin class to this coin1 object.
print(type()) # Should print <class'__main__Penny'>
coin1.value # Should print out 1.0 | [
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107... | 3.571429 | 77 |
import cv2
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
import numpy
import math
img = cv2.imread('thinning.png',0)
nodes = []
nodeMap = np.empty([512, 512], dtype=int)
edgesOfNodes = []
edges = []
#I need list of all edges with duplicates
#[start id] [end id]
#each edge can have connectio... | [
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320,... | 2.111194 | 4,011 |
from lecturelists import *
import requests
import re
import schedule
import time
with open('token.txt', 'r') as f:
bot_token = f.read().replace('\n','')
with open('secret.txt', 'r') as f:
err_bot_token, admin_no = f.read().replace('\n','').split(',')
handler()
schedule.every(1).minutes.do(handler)
while True:
s... | [
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22... | 2.671642 | 134 |
#! /usr/bin/python3
# A Motor class used for abstraction purposes
| [
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from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.datasets import make_classification
from .scorer import Scorer
def test_classification(models, one_hot=False):
'''
'''
for name, model in models.items():
X, y = make_classification(
n_samples=10000,
n_... | [
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264... | 2.051111 | 450 |
#!/usr/bin/env python
# tests.memtest
# Short script to exercise the corpus reader memory usage.
#
# Author: Benjamin Bengfort <bbengfort@districtdatalabs.com>
# Created: Tue Apr 19 16:38:28 2016 -0400
#
# Copyright (C) 2016 District Data Labs
# For license information, see LICENSE.txt
#
# ID: memtest.py [0753dd0] b... | [
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17080... | 2.339391 | 2,036 |
import pytest
from lxml.etree import XPathEvalError
from pat import pat
def test_valid_xpath(html_blob):
"""Ensures a valid XPath produces results
"""
# extract only the first table
xpath = '/descendant::table[1]'
results = pat(html_blob, xpath_query=xpath)
assert len(results) == 1
def t... | [
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# Generated by Django 2.2.6 on 2019-10-14 02:47
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
| [
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142... | 3.019231 | 52 |
#Programs that calculate the averages of numbers.
#call the program from main.
#The first program is for a set amount of three numbers.
#The second program is more flexible for a user defined amount of numbers.
main()
| [
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... | 3.338028 | 71 |
import datetime
import platform
import dico
import dico_command
import psutil
from dico.utils import rgb
from . import __version__
from .utils import parse_bytesize, parse_second
try:
from dico_interaction import __version__ as __inter_version__
except ImportError:
__inter_version__ = None
privileged = ["GU... | [
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2679... | 3.094828 | 116 |
from sys import stdout
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from scipy.signal import savgol_filter
from sklearn.cross_decomposition import PLSRegression
from sklearn.model_selection import cross_val_predict
from sklearn.metrics import mean_squared_error, r2_score
# dataset
data = pd... | [
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... | 2.170047 | 641 |
# -*- coding: utf-8 -*-
# @Time : 2019/5/11 15:12
# @Author : LegenDong
# @User : legendong
# @File : __init__.py.py
# @Software: PyCharm
from .channel_attention_layer import *
from .nan_attention_layer import *
| [
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... | 2.322917 | 96 |
import os
from distutils.util import strtobool
DEBUG = strtobool(os.environ.get('DEBUG', 'yes'))
SECRET_KEY = os.environ.get('SECRET', 'defaultsecret')
APPLICATION_ROOT = '/api/assistant'
API_URL = 'http://localhost/api/accounts'
| [
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13... | 2.697674 | 86 |
import math
from metrics.Metric import Metric
class TPRNormDiff(Metric):
"""
This metric calculates the normalized TPR difference.
Multiple protected classes are treated as one large group, so that this compares the privileged
class to all non-privileged classes as a group.
"""
class TNRNormDi... | [
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62... | 2.682058 | 758 |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | [
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7054,... | 2.329943 | 3,146 |
import sys
import os
from BWSTableEditors import *
# returns value and modify_mode
if __name__ == '__main__':
main()
| [
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13... | 2.931818 | 44 |
from django.conf import settings
from django.conf.urls import patterns, url
from mapentity.registry import MapEntityOptions
from geotrek.altimetry.views import (ElevationProfile, ElevationChart,
ElevationArea, serve_elevation_chart)
urlpatterns = patterns(
'',
url(r'^%s/p... | [
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320,
11973... | 2.38764 | 178 |
import datetime
import exceptions
import string
from dateutil import parser
SCHEDULE_FIELDS = {'A': ['back_reference_sched_name', 'back_reference_tran_id_number', 'conduit_city', 'conduit_name', 'conduit_state', 'conduit_street1', 'conduit_street2', 'conduit_zip', 'contribution_aggregate', 'contribution_amount', 'con... | [
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# Equation (c) Baltasar 2019 MIT License <baltasarq@gmail.com>
from equations.Equation import Equation
from equations.Component import create
from solver.solve import solve
from parser import parser
if __name__ == "__main__":
eqs = parser("x = 5 + 3\n2 = y + 3\nz = x + y")
print("\n".join([str(eq) for eq in e... | [
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13... | 2.740157 | 127 |
from aiortc_media_proxy.server import init
init()
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import json
import logging
import os
import sys
from argparse import ArgumentParser
import re
import numpy as np
import pandas as pd
import torch
from transformers import GPT2Tokenizer
from src.data.cleaning import mask_not_na, inds_unique, mask_long_enough
from src.data.nli import TransformersSeqPairDataset
from src... | [
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673... | 2.410448 | 3,216 |
import os
import platform
import shutil
import subprocess
lib_filename = 'libterraform.dll' if platform.system() == 'Windows' else 'libterraform.so'
header_filename = 'libterraform.h'
tf_filename = 'libterraform.go'
root = os.path.dirname(os.path.abspath(__file__))
terraform_dirname = os.path.join(root, 'terraform')
t... | [
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... | 2.352089 | 1,173 |
import torch
from torch.utils.data import DataLoader
from baseline_module.baseline_model_builder import BaselineModelBuilder
from config import BaselineConfig
from data import AGNEWS_Dataset
from tools import logging
if __name__ == "__main__":
baseline_model_builder = BaselineModelBuilder('AGNEWS',
... | [
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... | 1.879541 | 523 |
from __future__ import absolute_import, division, print_function
from gltbx.images import img_data
inspector_img = img_data(width=32, height=32, mask=-1, encoded_data = """\
ffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff\
fffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffffff... | [
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2... | 1.837823 | 3,527 |
from solution import valid
from solution import valid2
with open('input.txt', 'r') as f:
passphrases = [p.split() for p in f]
assert valid(['aa bb cc dd ee'.split()]) == 1
assert valid(['aa bb cc dd aa'.split()]) == 0
assert valid(['aa bb cc dd aaa'.split()]) == 1
print(valid(passphrases))
assert valid2(['abcde... | [
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... | 2.559471 | 227 |
# Python Web Scraping
# Title : requests
# Date : 2020-08-10
# Creator : tunealog
import requests
res = requests.get("https://google.com")
res_err = requests.get("https://tunealog.tistory.com")
# Response Code : 200 - No Problem
print("Response Code : ", res.status_code)
# Response Code : 403 - Problem
print("Respo... | [
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import pyautogui
import time
import pyperclip
# 打开审查元素位置 921.6
# 2022/01/15
urls = ["tomford-product.html?productId=400463&goodsId=524636&warehouseId=10","tomford-product.html?productId=413813&goodsId=537981&warehouseId=10","tomford-product.html?productId=438131&goodsId=562140&warehouseId=10","tomford-product.html?pro... | [
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__author__ = ["Francisco Clavero"]
__email__ = ["fcoclavero32@gmail.com"]
__status__ = "Prototype"
""" Ignite trainer for a Bimodal GAN architecture. """
from abc import ABC
from typing import Callable
from overrides import overrides
from torch.nn import BCEWithLogitsLoss
from vscvs.decorators import kwargs_param... | [
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... | 2.455242 | 2,871 |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"generate_translator": "00_data.ipynb",
"default_translator_path": "00_data.ipynb",
"strip_html": "00_data.ipynb",
"OriTraTranslation": "00_data.ipynb",
"create_ori_trans_d... | [
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