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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d99b5ab0ec594ac30b1d197b23a5cda7c48151d5 | 18,065 | py | Python | rasa/train.py | Amirali-Shirkh/rasa-for-botfront | 36aa24ad31241c5d1a180bbe34e1c8c50da40ff7 | [
"Apache-2.0"
] | null | null | null | rasa/train.py | Amirali-Shirkh/rasa-for-botfront | 36aa24ad31241c5d1a180bbe34e1c8c50da40ff7 | [
"Apache-2.0"
] | null | null | null | rasa/train.py | Amirali-Shirkh/rasa-for-botfront | 36aa24ad31241c5d1a180bbe34e1c8c50da40ff7 | [
"Apache-2.0"
] | null | null | null | import asyncio
import os
import tempfile
from contextlib import ExitStack
from typing import Text, Optional, List, Union, Dict
from rasa.importers.importer import TrainingDataImporter
from rasa import model
from rasa.model import FingerprintComparisonResult
from rasa.core.domain import Domain
from rasa.utils.common im... | 34.673704 | 128 | 0.654027 | 2,139 | 18,065 | 5.259467 | 0.099579 | 0.0432 | 0.053511 | 0.043022 | 0.643644 | 0.565956 | 0.532178 | 0.5128 | 0.470756 | 0.448444 | 0 | 0 | 0.275505 | 18,065 | 520 | 129 | 34.740385 | 0.859566 | 0.102131 | 0 | 0.47619 | 0 | 0 | 0.097136 | 0.003 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008403 | false | 0 | 0.123249 | 0 | 0.173669 | 0.120448 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d99ed7256245422c7c5dd3c60b0661e4f78183ea | 35,585 | py | Python | rplugin/python3/denite/ui/default.py | timgates42/denite.nvim | 12a9b5456f5a4600afeb0ba284ce1098bd35e501 | [
"MIT"
] | null | null | null | rplugin/python3/denite/ui/default.py | timgates42/denite.nvim | 12a9b5456f5a4600afeb0ba284ce1098bd35e501 | [
"MIT"
] | null | null | null | rplugin/python3/denite/ui/default.py | timgates42/denite.nvim | 12a9b5456f5a4600afeb0ba284ce1098bd35e501 | [
"MIT"
] | null | null | null | # ============================================================================
# FILE: default.py
# AUTHOR: Shougo Matsushita <Shougo.Matsu at gmail.com>
# License: MIT license
# ============================================================================
import re
import typing
from denite.util import echo, error, c... | 37.816153 | 79 | 0.54863 | 3,700 | 35,585 | 4.95 | 0.09973 | 0.058094 | 0.036637 | 0.012995 | 0.344253 | 0.19585 | 0.13448 | 0.096861 | 0.084084 | 0.06967 | 0 | 0.00293 | 0.328565 | 35,585 | 940 | 80 | 37.856383 | 0.763613 | 0.030547 | 0 | 0.25 | 0 | 0 | 0.141075 | 0.02771 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057592 | false | 0 | 0.007853 | 0.005236 | 0.111257 | 0.001309 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d99f875863138f11af1d76f0c753c198ad6d96bd | 1,329 | py | Python | PyDSTool/core/context_managers.py | yuanz271/PyDSTool | 886c143cdd192aea204285f3a1cb4968c763c646 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | PyDSTool/core/context_managers.py | yuanz271/PyDSTool | 886c143cdd192aea204285f3a1cb4968c763c646 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | PyDSTool/core/context_managers.py | yuanz271/PyDSTool | 886c143cdd192aea204285f3a1cb4968c763c646 | [
"Python-2.0",
"OLDAP-2.7"
] | null | null | null | # -*- coding: utf-8 -*-
"""Context managers implemented for (mostly) internal use"""
import contextlib
import functools
from io import UnsupportedOperation
import os
import sys
__all__ = ["RedirectStdout", "RedirectStderr"]
@contextlib.contextmanager
def _stdchannel_redirected(stdchannel, dest_filename, mode="w")... | 28.891304 | 109 | 0.68924 | 144 | 1,329 | 6.229167 | 0.479167 | 0.044593 | 0.086957 | 0.120401 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014299 | 0.210685 | 1,329 | 45 | 110 | 29.533333 | 0.840801 | 0.209932 | 0 | 0.071429 | 0 | 0 | 0.028404 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.178571 | 0 | 0.214286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d99ff34b5f61cee604590c456f40398d7da18182 | 3,215 | py | Python | pos_kiosk/hooks.py | Muzzy73/pos_kiosk | 1ed42cfaeb15f009293b76d05dd85bd322b42f03 | [
"MIT"
] | 1 | 2022-03-05T11:42:36.000Z | 2022-03-05T11:42:36.000Z | pos_kiosk/hooks.py | Muzzy73/pos_kiosk | 1ed42cfaeb15f009293b76d05dd85bd322b42f03 | [
"MIT"
] | null | null | null | pos_kiosk/hooks.py | Muzzy73/pos_kiosk | 1ed42cfaeb15f009293b76d05dd85bd322b42f03 | [
"MIT"
] | 1 | 2022-03-05T11:42:37.000Z | 2022-03-05T11:42:37.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from . import __version__ as app_version
app_name = "pos_kiosk"
app_title = "Pos Kiosk"
app_publisher = "9t9it"
app_description = "Kiosk App"
app_icon = "octicon octicon-file-directory"
app_color = "grey"
app_email = "info@9t9it.com"
app_license = "MIT"
... | 22.964286 | 101 | 0.631415 | 384 | 3,215 | 5.010417 | 0.338542 | 0.091476 | 0.033784 | 0.035343 | 0.235967 | 0.141892 | 0.108628 | 0.085239 | 0.085239 | 0.045738 | 0 | 0.001911 | 0.186003 | 3,215 | 139 | 102 | 23.129496 | 0.733282 | 0.7521 | 0 | 0 | 0 | 0 | 0.231206 | 0.031206 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.08 | 0 | 0.08 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9a0c8935f1da040f76922b94d20a857d8b8cd7d | 3,338 | py | Python | easyai/model/backbone/cls/pnasnet.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | 1 | 2020-09-05T09:18:56.000Z | 2020-09-05T09:18:56.000Z | easyai/model/backbone/cls/pnasnet.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | 8 | 2020-04-20T02:18:55.000Z | 2022-03-12T00:24:50.000Z | easyai/model/backbone/cls/pnasnet.py | lpj0822/image_point_cloud_det | 7b20e2f42f3f2ff4881485da58ad188a1f0d0e0f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author:
''' PNASNet in PyTorch.
Paper: Progressive Neural Architecture Search
'''
from easyai.base_name.block_name import NormalizationType, ActivationType
from easyai.base_name.backbone_name import BackboneName
from easyai.model.backbone.utility.base_backbone import *
fr... | 35.892473 | 95 | 0.612942 | 386 | 3,338 | 5.012953 | 0.238342 | 0.056848 | 0.069767 | 0.037209 | 0.357623 | 0.328682 | 0.285271 | 0.234625 | 0.131266 | 0.131266 | 0 | 0.010748 | 0.303176 | 3,338 | 92 | 96 | 36.282609 | 0.821152 | 0.034452 | 0 | 0.117647 | 0 | 0 | 0.005602 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102941 | false | 0 | 0.073529 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9a268f19adc7700cf1335eb9dfc2c8d74c5a4dc | 2,208 | py | Python | tools/utils.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 16 | 2018-01-22T02:03:09.000Z | 2022-02-24T07:16:47.000Z | tools/utils.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 2 | 2019-02-01T02:48:17.000Z | 2020-09-06T06:09:35.000Z | tools/utils.py | vahini01/electoral_rolls | 82e42a6ee68844b1c8ac7899e8e7bf7a24e48d44 | [
"MIT"
] | 8 | 2018-01-22T06:48:07.000Z | 2021-08-08T16:26:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 10 23:28:58 2017
@author: dhingratul
"""
import urllib.request
import os
from selenium import webdriver
from selenium.webdriver.support.ui import Select
from bs4 import BeautifulSoup
import ssl
import requests
import wget
from PyPDF2 import PdfFileR... | 25.976471 | 100 | 0.646286 | 299 | 2,208 | 4.668896 | 0.391304 | 0.034384 | 0.032235 | 0.038682 | 0.259312 | 0.18553 | 0.098138 | 0.098138 | 0.098138 | 0.098138 | 0 | 0.017748 | 0.259964 | 2,208 | 84 | 101 | 26.285714 | 0.836597 | 0.14221 | 0 | 0.33871 | 0 | 0 | 0.004795 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.080645 | false | 0 | 0.145161 | 0 | 0.322581 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9a3883f0ea5d080d5d4d2e05df6fadcaeb5c36e | 1,956 | py | Python | exp/viz_raw_manhattan.py | ellencwade/coronavirus-2020 | b71e018deb8df8450b4d88ddbcd6ded6497aa8f9 | [
"MIT"
] | null | null | null | exp/viz_raw_manhattan.py | ellencwade/coronavirus-2020 | b71e018deb8df8450b4d88ddbcd6ded6497aa8f9 | [
"MIT"
] | null | null | null | exp/viz_raw_manhattan.py | ellencwade/coronavirus-2020 | b71e018deb8df8450b4d88ddbcd6ded6497aa8f9 | [
"MIT"
] | null | null | null | """
Experiment summary
------------------
Treat each province/state in a country cases over time
as a vector, do a simple K-Nearest Neighbor between
countries. What country has the most similar trajectory
to a given country?
Plots similar countries
"""
import sys
sys.path.insert(0, '..')
from utils import data
impor... | 26.432432 | 74 | 0.658487 | 270 | 1,956 | 4.614815 | 0.485185 | 0.044141 | 0.017657 | 0.041734 | 0.089888 | 0.089888 | 0.089888 | 0.089888 | 0.089888 | 0.089888 | 0 | 0.019692 | 0.169223 | 1,956 | 74 | 75 | 26.432432 | 0.747077 | 0.169734 | 0 | 0.16 | 0 | 0 | 0.214109 | 0.080446 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.14 | 0 | 0.14 | 0.02 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9a428c026d2352f281b2b7ddd8ec8a286d37297 | 5,290 | py | Python | rational/mxnet/rationals.py | steven-lang/rational_activations | 234623dbb9360c215c430185b09e2237d5186b54 | [
"MIT"
] | null | null | null | rational/mxnet/rationals.py | steven-lang/rational_activations | 234623dbb9360c215c430185b09e2237d5186b54 | [
"MIT"
] | null | null | null | rational/mxnet/rationals.py | steven-lang/rational_activations | 234623dbb9360c215c430185b09e2237d5186b54 | [
"MIT"
] | null | null | null | """
Rational Activation Functions for MXNET
=======================================
This module allows you to create Rational Neural Networks using Learnable
Rational activation functions with MXNET networks.
"""
import mxnet as mx
from mxnet import initializer
from mxnet.gluon import HybridBlock
from rational.utils.... | 42.66129 | 99 | 0.56276 | 584 | 5,290 | 4.943493 | 0.304795 | 0.02771 | 0.027018 | 0.004157 | 0.085902 | 0.073433 | 0.0478 | 0.0478 | 0.0478 | 0.010391 | 0 | 0.006928 | 0.34518 | 5,290 | 123 | 100 | 43.00813 | 0.826501 | 0.413422 | 0 | 0.24 | 0 | 0 | 0.038147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0 | 0.14 | 0.02 | 0.26 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9a6621d903359b14c87695eb4a1ac8dcea18138 | 844 | py | Python | torchflare/criterion/utils.py | Neklaustares-tPtwP/torchflare | 7af6b01ef7c26f0277a041619081f6df4eb1e42c | [
"Apache-2.0"
] | 1 | 2021-09-14T08:38:05.000Z | 2021-09-14T08:38:05.000Z | torchflare/criterion/utils.py | weidao-Shi/torchflare | 3c55b5a0761f2e85dd6da95767c6ec03f0f5baad | [
"Apache-2.0"
] | null | null | null | torchflare/criterion/utils.py | weidao-Shi/torchflare | 3c55b5a0761f2e85dd6da95767c6ec03f0f5baad | [
"Apache-2.0"
] | 1 | 2021-08-06T19:24:43.000Z | 2021-08-06T19:24:43.000Z | """Utils for criterion."""
import torch
import torch.nn.functional as F
def normalize(x, axis=-1):
"""Performs L2-Norm."""
num = x
denom = torch.norm(x, 2, axis, keepdim=True).expand_as(x) + 1e-12
return num / denom
# Source : https://github.com/earhian/Humpback-Whale-Identification-1st-/blob/master... | 26.375 | 107 | 0.613744 | 141 | 844 | 3.64539 | 0.439716 | 0.015564 | 0.099222 | 0.054475 | 0.124514 | 0.124514 | 0.124514 | 0.124514 | 0.124514 | 0.124514 | 0 | 0.031019 | 0.197867 | 844 | 31 | 108 | 27.225806 | 0.728213 | 0.236967 | 0 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.111111 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9a90a5af3f207f1020cbf41f94830b75e23fbc9 | 4,411 | py | Python | readthedocs/donate/forms.py | gamearming/readthedocs | 53d0094f657f549326a86b8bd0ccf924c2126941 | [
"MIT"
] | null | null | null | readthedocs/donate/forms.py | gamearming/readthedocs | 53d0094f657f549326a86b8bd0ccf924c2126941 | [
"MIT"
] | null | null | null | readthedocs/donate/forms.py | gamearming/readthedocs | 53d0094f657f549326a86b8bd0ccf924c2126941 | [
"MIT"
] | null | null | null | """Forms for RTD donations"""
import logging
from django import forms
from django.conf import settings
from django.utils.translation import ugettext_lazy as _
from readthedocs.payments.forms import StripeModelForm, StripeResourceMixin
from readthedocs.payments.utils import stripe
from .models import Supporter
log ... | 33.416667 | 97 | 0.594423 | 478 | 4,411 | 5.349372 | 0.320084 | 0.038717 | 0.052796 | 0.028158 | 0.525616 | 0.509973 | 0.484943 | 0.44036 | 0.44036 | 0.397341 | 0 | 0.008729 | 0.298798 | 4,411 | 131 | 98 | 33.671756 | 0.817976 | 0.112446 | 0 | 0.510204 | 0 | 0 | 0.230052 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040816 | false | 0 | 0.071429 | 0 | 0.22449 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ad95f0461bd02e44c310b1381567e8524c288c | 6,258 | py | Python | pandas_datareaders_unofficial/datareaders/google_finance_options.py | movermeyer/pandas_datareaders_unofficial | 458dcf473d070cd7686d53d4a9b479cbe0ab9218 | [
"BSD-3-Clause"
] | 18 | 2015-02-05T01:42:51.000Z | 2020-12-27T19:24:25.000Z | pandas_datareaders_unofficial/datareaders/google_finance_options.py | movermeyer/pandas_datareaders_unofficial | 458dcf473d070cd7686d53d4a9b479cbe0ab9218 | [
"BSD-3-Clause"
] | 1 | 2015-01-12T11:08:02.000Z | 2015-01-13T09:14:47.000Z | pandas_datareaders_unofficial/datareaders/google_finance_options.py | femtotrader/pandas_datareaders | 458dcf473d070cd7686d53d4a9b479cbe0ab9218 | [
"BSD-3-Clause"
] | 13 | 2015-09-10T19:39:51.000Z | 2022-01-06T17:08:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .base import DataReaderBase
from ..tools import COL, _get_dates, to_float, to_int
import pandas as pd
#from pandas.tseries.frequencies import to_offset
from six.moves import cStringIO as StringIO
import logging
import traceback
import datetime
import json
import tok... | 29.942584 | 115 | 0.527964 | 754 | 6,258 | 4.270557 | 0.324934 | 0.01087 | 0.013975 | 0.013043 | 0.198758 | 0.180745 | 0.146584 | 0.1 | 0.1 | 0.1 | 0 | 0.016197 | 0.319271 | 6,258 | 208 | 116 | 30.086538 | 0.739671 | 0.167945 | 0 | 0.281818 | 0 | 0 | 0.087476 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072727 | false | 0 | 0.090909 | 0.009091 | 0.190909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9adb9ef68a4c2ce5de1ed13aea3230964400996 | 5,039 | py | Python | keras_textclassification/data_preprocess/generator_preprocess.py | Vail-qin/Keras-TextClassification | 8acda5ae37db2647c8ecaa70027ffc6003d2abca | [
"MIT"
] | 1 | 2019-12-27T16:59:16.000Z | 2019-12-27T16:59:16.000Z | keras_textclassification/data_preprocess/generator_preprocess.py | Yolo-Cultivate/Keras-TextClassification | 183cf7b3483588bfe10d19b65124e52df5b338f8 | [
"MIT"
] | null | null | null | keras_textclassification/data_preprocess/generator_preprocess.py | Yolo-Cultivate/Keras-TextClassification | 183cf7b3483588bfe10d19b65124e52df5b338f8 | [
"MIT"
] | 1 | 2022-01-11T06:37:54.000Z | 2022-01-11T06:37:54.000Z | # !/usr/bin/python
# -*- coding: utf-8 -*-
# @time : 2019/11/2 21:08
# @author : Mo
# @function:
from keras_textclassification.data_preprocess.text_preprocess import load_json, save_json
from keras_textclassification.conf.path_config import path_model_dir
path_fast_text_model_vocab2index = path_model_dir + 'vocab... | 36.781022 | 92 | 0.523318 | 646 | 5,039 | 3.773994 | 0.218266 | 0.049221 | 0.054143 | 0.076702 | 0.370796 | 0.322395 | 0.30886 | 0.248975 | 0.226005 | 0.211649 | 0 | 0.039798 | 0.371701 | 5,039 | 136 | 93 | 37.051471 | 0.730259 | 0.059536 | 0 | 0.219048 | 0 | 0 | 0.040825 | 0.019562 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.038095 | 0 | 0.142857 | 0.009524 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b0df7f5ef294a68858d836af143c289d120187 | 4,375 | py | Python | Object_detection_image.py | hiperus0988/pyao | 72c56975a3d45aa033bdf7650b5369d59240395f | [
"Apache-2.0"
] | 1 | 2021-06-09T22:17:57.000Z | 2021-06-09T22:17:57.000Z | Object_detection_image.py | hiperus0988/pyao | 72c56975a3d45aa033bdf7650b5369d59240395f | [
"Apache-2.0"
] | null | null | null | Object_detection_image.py | hiperus0988/pyao | 72c56975a3d45aa033bdf7650b5369d59240395f | [
"Apache-2.0"
] | null | null | null | ######## Image Object Detection Using Tensorflow-trained Classifier #########
#
# Author: Evan Juras
# Date: 1/15/18
# Description:
# This program uses a TensorFlow-trained classifier to perform object detection.
# It loads the classifier uses it to perform object detection on an image.
# It draws boxes and scores aro... | 36.458333 | 122 | 0.779886 | 680 | 4,375 | 4.836765 | 0.377941 | 0.045607 | 0.025844 | 0.034965 | 0.082396 | 0.06689 | 0.034661 | 0 | 0 | 0 | 0 | 0.007451 | 0.141029 | 4,375 | 119 | 123 | 36.764706 | 0.867749 | 0.511314 | 0 | 0 | 0 | 0 | 0.083977 | 0.012066 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b42bca24804913cf6908775c04bc29a0bec6df | 1,469 | py | Python | model/contact.py | hubogeri/python_training | 7a918040e4c8bae5a031134911bc8b465f322699 | [
"Apache-2.0"
] | null | null | null | model/contact.py | hubogeri/python_training | 7a918040e4c8bae5a031134911bc8b465f322699 | [
"Apache-2.0"
] | null | null | null | model/contact.py | hubogeri/python_training | 7a918040e4c8bae5a031134911bc8b465f322699 | [
"Apache-2.0"
] | null | null | null | from sys import maxsize
class Contact:
def __init__(self, fname=None, mname=None, lname=None, nick=None, title=None, comp=None, addr=None,
home=None, mobile=None, work=None, fax=None, email1=None, email2=None, email3=None,
homepage=None, bday=None, bmonth=None, byear=None, aday=... | 30.604167 | 135 | 0.571137 | 191 | 1,469 | 4.319372 | 0.246073 | 0.043636 | 0.019394 | 0.024242 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009091 | 0.326072 | 1,469 | 47 | 136 | 31.255319 | 0.824242 | 0 | 0 | 0 | 0 | 0 | 0.00545 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.025 | 0.05 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b4cabd9071c90b544409b5b87e3302450b1278 | 11,342 | py | Python | test/IECore/BasicPreset.py | ericmehl/cortex | 054839cc709ce153d1bcaaefe7f340ebe641ec82 | [
"BSD-3-Clause"
] | 386 | 2015-01-02T11:10:43.000Z | 2022-03-10T15:12:20.000Z | test/IECore/BasicPreset.py | ericmehl/cortex | 054839cc709ce153d1bcaaefe7f340ebe641ec82 | [
"BSD-3-Clause"
] | 484 | 2015-01-09T18:28:06.000Z | 2022-03-31T16:02:04.000Z | test/IECore/BasicPreset.py | ericmehl/cortex | 054839cc709ce153d1bcaaefe7f340ebe641ec82 | [
"BSD-3-Clause"
] | 99 | 2015-01-28T23:18:04.000Z | 2022-03-27T00:59:39.000Z | ##########################################################################
#
# Copyright (c) 2010-2012, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redis... | 33.655786 | 107 | 0.677923 | 1,199 | 11,342 | 6.381985 | 0.202669 | 0.102196 | 0.059592 | 0.040251 | 0.657998 | 0.625457 | 0.58965 | 0.570047 | 0.533717 | 0.515682 | 0 | 0.014208 | 0.162229 | 11,342 | 336 | 108 | 33.755952 | 0.791097 | 0.156145 | 0 | 0.46729 | 0 | 0 | 0.085242 | 0.013213 | 0 | 0 | 0 | 0 | 0.182243 | 1 | 0.037383 | false | 0 | 0.028037 | 0 | 0.070093 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b4da54ad6bdf7efb1efb5b210a443bc83b0db4 | 12,492 | py | Python | rlpy/Domains/Pacman.py | imanolarrieta/RL | 072a8c328652f45e053baecd640f04adf7f84b49 | [
"BSD-3-Clause"
] | 1 | 2019-12-07T13:47:43.000Z | 2019-12-07T13:47:43.000Z | rlpy/Domains/Pacman.py | imanolarrieta/RL | 072a8c328652f45e053baecd640f04adf7f84b49 | [
"BSD-3-Clause"
] | null | null | null | rlpy/Domains/Pacman.py | imanolarrieta/RL | 072a8c328652f45e053baecd640f04adf7f84b49 | [
"BSD-3-Clause"
] | null | null | null | """Pacman game domain."""
from rlpy.Tools import __rlpy_location__
from .Domain import Domain
from .PacmanPackage import layout, pacman, game, ghostAgents
from .PacmanPackage import graphicsDisplay
import numpy as np
from copy import deepcopy
import os
import time
__copyright__ = "Copyright 2013, RLPy http://acl.mit.e... | 38.795031 | 159 | 0.616394 | 1,559 | 12,492 | 4.815266 | 0.264272 | 0.023445 | 0.031171 | 0.022646 | 0.170641 | 0.143866 | 0.130944 | 0.116558 | 0.092847 | 0.066871 | 0 | 0.013697 | 0.292827 | 12,492 | 321 | 160 | 38.915888 | 0.836088 | 0.285383 | 0 | 0.21466 | 0 | 0 | 0.044839 | 0 | 0 | 0 | 0 | 0.003115 | 0 | 1 | 0.073298 | false | 0.026178 | 0.041885 | 0 | 0.193717 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b62ab258f0b51ef25d431f8fa66de9acd438a7 | 1,895 | py | Python | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | 23 | 2019-03-05T08:33:34.000Z | 2021-12-13T01:52:47.000Z | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | null | null | null | setup.py | giggslam/python-messengerbot-sdk | 4a6fadf96fe3425da9abc4726fbb84db6d84f7b5 | [
"Apache-2.0"
] | 6 | 2019-03-07T07:58:02.000Z | 2020-12-18T10:08:47.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# 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... | 30.079365 | 76 | 0.663852 | 238 | 1,895 | 5.168067 | 0.57563 | 0.04878 | 0.012195 | 0.026016 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020175 | 0.215303 | 1,895 | 62 | 77 | 30.564516 | 0.806994 | 0.302902 | 0 | 0 | 0 | 0 | 0.343272 | 0.050459 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.1 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b76c6f6bd2bcb1986a9d9701e4ee097a1ff3bf | 18,905 | py | Python | src/transformers/models/mmbt/modeling_mmbt.py | MaximovaIrina/transformers | 033c3ed95a14b58f5a657f5124bc5988e4109c9f | [
"Apache-2.0"
] | 1 | 2022-01-12T11:39:47.000Z | 2022-01-12T11:39:47.000Z | src/transformers/models/mmbt/modeling_mmbt.py | AugustVIII/transformers | 185876392c0dcd4c4bb02f2750822144a3bee545 | [
"Apache-2.0"
] | null | null | null | src/transformers/models/mmbt/modeling_mmbt.py | AugustVIII/transformers | 185876392c0dcd4c4bb02f2750822144a3bee545 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright (c) Facebook, Inc. and its affiliates.
# Copyright (c) HuggingFace Inc. team.
#
# 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... | 46.794554 | 209 | 0.685533 | 2,371 | 18,905 | 5.255588 | 0.169127 | 0.019501 | 0.021186 | 0.020544 | 0.351416 | 0.306958 | 0.25953 | 0.232084 | 0.172298 | 0.137389 | 0 | 0.004011 | 0.23507 | 18,905 | 403 | 210 | 46.91067 | 0.857686 | 0.139646 | 0 | 0.229167 | 0 | 0.03125 | 0.414009 | 0.024936 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027778 | false | 0.003472 | 0.024306 | 0.003472 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b8347698a1fe18b6d9ec66f6bfbfa77f2567be | 1,566 | py | Python | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | using_paramiko.py | allupramodreddy/cisco_py | 5488b56d9324011860b78998e694dcce6da5e3d1 | [
"Apache-2.0"
] | null | null | null | #!/usr/local/bin/python3
import paramiko,time
#using as SSH Client
client = paramiko.SSHClient()
# check dir(client) to find available options.
# auto adjust host key verification with yes or no
client.set_missing_host_key_policy(paramiko.AutoAddPolicy())
# time for connecting to remote Cisco IOS
"""
Manually taki... | 23.727273 | 89 | 0.691571 | 234 | 1,566 | 4.551282 | 0.495727 | 0.067606 | 0.04507 | 0.037559 | 0.155869 | 0.155869 | 0.093897 | 0.093897 | 0 | 0 | 0 | 0.026377 | 0.176884 | 1,566 | 66 | 90 | 23.727273 | 0.799845 | 0.17433 | 0 | 0.2 | 0 | 0 | 0.051893 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.05 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b86cc42aaff67200ff3f4f5f6d27121835fd8c | 733 | py | Python | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | old/.history/a_20201125192943.py | pscly/bisai1 | e619186cec5053a8e02bd59e48fc3ad3af47d19a | [
"MulanPSL-1.0"
] | null | null | null | # for n in range(400,500):
# i = n // 100
# j = n // 10 % 10
# k = n % 10
# if n == i ** 3 + j ** 3 + k ** 3:
# print(n)
# 第一道题(16)
# input("请输入(第一次):")
# s1 = input("请输入(第二次):")
# l1 = s1.split(' ')
# l2 = []
# for i in l1:
# if i.isdigit():
# l2.append(int(i))
# for i in l2:
# ... | 13.089286 | 39 | 0.452933 | 121 | 733 | 2.636364 | 0.421488 | 0.050157 | 0.075235 | 0.075235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.099576 | 0.356071 | 733 | 55 | 40 | 13.327273 | 0.576271 | 0.472033 | 0 | 0 | 0 | 0 | 0.019718 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b92da15285253454115ccfc5647355f3c2b100 | 345 | py | Python | yzcore/templates/project_template/src/const/_job.py | lixuemin13/yz-core | 82774f807ac1002b77d0cc90f6695b1cc6ba0820 | [
"MIT"
] | 6 | 2021-01-26T10:27:04.000Z | 2022-03-19T16:13:12.000Z | yzcore/templates/project_template/src/const/_job.py | lixuemin13/yz-core | 82774f807ac1002b77d0cc90f6695b1cc6ba0820 | [
"MIT"
] | null | null | null | yzcore/templates/project_template/src/const/_job.py | lixuemin13/yz-core | 82774f807ac1002b77d0cc90f6695b1cc6ba0820 | [
"MIT"
] | 2 | 2021-07-27T04:11:51.000Z | 2022-01-06T09:36:06.000Z | #!/usr/bin/python3.6.8+
# -*- coding:utf-8 -*-
"""
@auth: cml
@date: 2020-12-2
@desc: ...
"""
class JobStatus(object):
PENDING = 0 # 任务等待执行
STARTED = 100 # 任务执行开始
PROCESS = 110
POLLING = 120
CALLBACK = 130
SUCCESS = 200 # 任务执行成功
RETRY = 300 # 任务重试
FAILURE = 400 # 任务执行失败
... | 15 | 28 | 0.53913 | 42 | 345 | 4.428571 | 0.97619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151261 | 0.310145 | 345 | 22 | 29 | 15.681818 | 0.630252 | 0.347826 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9b95364464c7d47db46ee15f7524a804b79ea1b | 10,311 | py | Python | pyboleto/html.py | RenanPalmeira/pyboleto | 7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e | [
"BSD-3-Clause"
] | null | null | null | pyboleto/html.py | RenanPalmeira/pyboleto | 7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e | [
"BSD-3-Clause"
] | null | null | null | pyboleto/html.py | RenanPalmeira/pyboleto | 7b12a7a2f7e92cad5f35f843ae67c397b6f7e36e | [
"BSD-3-Clause"
] | 1 | 2019-03-20T01:01:00.000Z | 2019-03-20T01:01:00.000Z | # -*- coding: utf-8 -*-
"""
pyboleto.html
~~~~~~~~~~~~~
Classe Responsável por fazer o output do boleto em html.
:copyright: © 2012 by Artur Felipe de Sousa
:license: BSD, see LICENSE for more details.
"""
import os
import string
import sys
import codecs
import base64
from itertools import chain... | 35.926829 | 77 | 0.617011 | 1,194 | 10,311 | 5.156616 | 0.237018 | 0.050024 | 0.027611 | 0.043853 | 0.410102 | 0.404743 | 0.376969 | 0.337502 | 0.335066 | 0.318824 | 0 | 0.009436 | 0.260014 | 10,311 | 286 | 78 | 36.052448 | 0.797379 | 0.212201 | 0 | 0.291667 | 0 | 0 | 0.118981 | 0.016137 | 0 | 0 | 0 | 0.003497 | 0 | 1 | 0.089286 | false | 0 | 0.047619 | 0 | 0.172619 | 0.011905 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ba3e40007f306c4c070fefef8a9b0aa2387204 | 363 | py | Python | src/fetchWords.py | theyadev/thierry-bot | f3c72998d4c16afbca77baf4cabaf0f547d51e94 | [
"MIT"
] | null | null | null | src/fetchWords.py | theyadev/thierry-bot | f3c72998d4c16afbca77baf4cabaf0f547d51e94 | [
"MIT"
] | 2 | 2022-01-20T16:36:33.000Z | 2022-03-31T14:16:01.000Z | src/fetchWords.py | theyadev/thierry-bot | f3c72998d4c16afbca77baf4cabaf0f547d51e94 | [
"MIT"
] | 1 | 2022-01-28T12:14:14.000Z | 2022-01-28T12:14:14.000Z | import requests
words_list = requests.get("https://raw.githubusercontent.com/atebits/Words/master/Words/fr.txt").text
words_list = filter(lambda x: len(x) > 4, words_list.split('\n'))
path = input("Chemin d'écriture ? (words.txt) ")
if path == "":
path = "./words.txt"
with open(path, "w", encoding="utf-8") as ... | 27.923077 | 101 | 0.672176 | 56 | 363 | 4.285714 | 0.660714 | 0.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006309 | 0.126722 | 363 | 13 | 102 | 27.923077 | 0.750789 | 0 | 0 | 0 | 0 | 0 | 0.32967 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ba8bca5b7327bbb7e6554d0a3849c186cc4ba9 | 1,623 | py | Python | inspiration/simplegallery/test/upload/variants/test_aws_uploader.py | Zenahr/simple-music-gallery | 2cf6e81208b721a91dcbf77e047c7f77182dd194 | [
"MIT"
] | 1 | 2020-07-03T17:21:01.000Z | 2020-07-03T17:21:01.000Z | simplegallery/test/upload/variants/test_aws_uploader.py | theemack/simple-photo-gallery | f5db98bca7a7443ea7a9172317811f446eff760c | [
"MIT"
] | 1 | 2020-06-20T12:13:00.000Z | 2020-06-20T15:32:03.000Z | inspiration/simplegallery/test/upload/variants/test_aws_uploader.py | Zenahr/simple-music-gallery | 2cf6e81208b721a91dcbf77e047c7f77182dd194 | [
"MIT"
] | null | null | null | import unittest
from unittest import mock
import os
import subprocess
from testfixtures import TempDirectory
from simplegallery.upload.uploader_factory import get_uploader
class AWSUploaderTestCase(unittest.TestCase):
def test_no_location(self):
uploader = get_uploader('aws')
self.assertFalse(upl... | 37.744186 | 103 | 0.646334 | 178 | 1,623 | 5.657303 | 0.337079 | 0.076465 | 0.079444 | 0.053625 | 0.405164 | 0.405164 | 0.405164 | 0.405164 | 0.405164 | 0.405164 | 0 | 0.007183 | 0.227973 | 1,623 | 42 | 104 | 38.642857 | 0.796488 | 0.078866 | 0 | 0.285714 | 0 | 0 | 0.167114 | 0.056376 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.321429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9be3b65d403b8ba23a315dd5e1dcfb9fd542171 | 2,553 | py | Python | tests/syncdb_signals/tests.py | mdj2/django | e71b63e280559122371d125d75a593dc2435c394 | [
"BSD-3-Clause"
] | 1 | 2017-02-08T15:13:43.000Z | 2017-02-08T15:13:43.000Z | tests/syncdb_signals/tests.py | mdj2/django | e71b63e280559122371d125d75a593dc2435c394 | [
"BSD-3-Clause"
] | null | null | null | tests/syncdb_signals/tests.py | mdj2/django | e71b63e280559122371d125d75a593dc2435c394 | [
"BSD-3-Clause"
] | null | null | null | from django.db.models import signals
from django.test import TestCase
from django.core import management
from django.utils import six
from shared_models import models
PRE_SYNCDB_ARGS = ['app', 'create_models', 'verbosity', 'interactive', 'db']
SYNCDB_DATABASE = 'default'
SYNCDB_VERBOSITY = 1
SYNCDB_INTERACTIVE = Fal... | 34.04 | 77 | 0.703486 | 328 | 2,553 | 5.277439 | 0.29878 | 0.057192 | 0.051993 | 0.02773 | 0.233391 | 0.18602 | 0.18602 | 0.139804 | 0.139804 | 0.139804 | 0 | 0.005462 | 0.211124 | 2,553 | 74 | 78 | 34.5 | 0.854022 | 0.236584 | 0 | 0.27907 | 0 | 0 | 0.044294 | 0 | 0 | 0 | 0 | 0 | 0.162791 | 1 | 0.139535 | false | 0 | 0.116279 | 0 | 0.325581 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9be5eda54c6b03914f01c88d3b8d97dd5add586 | 3,625 | py | Python | pytorch_lightning/plugins/environments/slurm_environment.py | gianscarpe/pytorch-lightning | 261ea90822e2bf1cfa5d56171ab1f95a81d5c571 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/plugins/environments/slurm_environment.py | gianscarpe/pytorch-lightning | 261ea90822e2bf1cfa5d56171ab1f95a81d5c571 | [
"Apache-2.0"
] | null | null | null | pytorch_lightning/plugins/environments/slurm_environment.py | gianscarpe/pytorch-lightning | 261ea90822e2bf1cfa5d56171ab1f95a81d5c571 | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 i... | 33.878505 | 114 | 0.622345 | 466 | 3,625 | 4.693133 | 0.345494 | 0.051212 | 0.034294 | 0.029264 | 0.132602 | 0.091449 | 0.060357 | 0.046639 | 0 | 0 | 0 | 0.011839 | 0.254345 | 3,625 | 106 | 115 | 34.198113 | 0.797262 | 0.285241 | 0 | 0.137931 | 0 | 0 | 0.163082 | 0.045757 | 0 | 0 | 0 | 0 | 0 | 1 | 0.189655 | false | 0 | 0.068966 | 0.086207 | 0.431034 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9be639438e84e867c9e53c267b847b31292fe23 | 928 | py | Python | examples/mouse.py | ginkage/trackball-python | 06439ac77935f7fd9374bd4f535822e859734729 | [
"MIT"
] | 22 | 2019-04-19T11:13:16.000Z | 2022-03-04T15:04:43.000Z | examples/mouse.py | ginkage/trackball-python | 06439ac77935f7fd9374bd4f535822e859734729 | [
"MIT"
] | 7 | 2019-06-17T13:48:41.000Z | 2022-02-07T14:24:00.000Z | examples/mouse.py | ginkage/trackball-python | 06439ac77935f7fd9374bd4f535822e859734729 | [
"MIT"
] | 6 | 2019-04-24T00:58:29.000Z | 2022-01-26T15:39:10.000Z | #!/usr/bin/env python
import time
import os
import math
from trackball import TrackBall
print("""Trackball: Mouse
Use the trackball as a mouse in Raspbian, with right-click
when the switch is pressed.
Press Ctrl+C to exit!
""")
trackball = TrackBall(interrupt_pin=4)
trackball.set_rgbw(0, 0, 0, 0)
# Check for xte (... | 23.2 | 78 | 0.635776 | 145 | 928 | 4.041379 | 0.544828 | 0.010239 | 0.010239 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021368 | 0.243534 | 928 | 39 | 79 | 23.794872 | 0.81339 | 0.09806 | 0 | 0.074074 | 0 | 0 | 0.27458 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.148148 | 0 | 0.148148 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9be866c44b7b03225042353a7fcf648c1ce10ab | 11,294 | py | Python | garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | artberryx/LSD | 99ee081de2502b4d13c140b474f772db8a5f92fe | [
"MIT"
] | 7 | 2022-02-01T03:02:24.000Z | 2022-02-10T12:54:05.000Z | garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | artberryx/LSD | 99ee081de2502b4d13c140b474f772db8a5f92fe | [
"MIT"
] | null | null | null | garaged/src/garage/tf/regressors/gaussian_mlp_regressor_model.py | artberryx/LSD | 99ee081de2502b4d13c140b474f772db8a5f92fe | [
"MIT"
] | 2 | 2022-02-03T03:33:25.000Z | 2022-02-10T12:54:07.000Z | """GaussianMLPRegressorModel."""
import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
from garage.experiment import deterministic
from garage.tf.models import GaussianMLPModel
class GaussianMLPRegressorModel(GaussianMLPModel):
"""GaussianMLPRegressor based on garage.tf.models.Model cla... | 44.81746 | 79 | 0.611741 | 1,340 | 11,294 | 4.86791 | 0.158209 | 0.01533 | 0.016863 | 0.016097 | 0.516787 | 0.37866 | 0.322858 | 0.311207 | 0.288518 | 0.237314 | 0 | 0.005616 | 0.322029 | 11,294 | 251 | 80 | 44.996016 | 0.846284 | 0.387108 | 0 | 0.167939 | 0 | 0 | 0.028767 | 0.003887 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030534 | false | 0 | 0.038168 | 0 | 0.099237 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9becf802ca0765623e481aef0b8fd051c0096e5 | 3,594 | py | Python | test.py | kim-sunghoon/DiracDeltaNet | 7bcc0575f28715d9c7f737f8a239718320f9c05b | [
"Apache-2.0"
] | null | null | null | test.py | kim-sunghoon/DiracDeltaNet | 7bcc0575f28715d9c7f737f8a239718320f9c05b | [
"Apache-2.0"
] | null | null | null | test.py | kim-sunghoon/DiracDeltaNet | 7bcc0575f28715d9c7f737f8a239718320f9c05b | [
"Apache-2.0"
] | null | null | null | import torch
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import torch.backends.cudnn as cudnn
import torchvision
import torchvision.transforms as transforms
import torchvision.datasets as datasets
import os
import argparse
from torch.autograd import Variable
from e... | 28.983871 | 115 | 0.645242 | 461 | 3,594 | 4.91974 | 0.357918 | 0.02425 | 0.019841 | 0.017637 | 0.022928 | 0.022928 | 0 | 0 | 0 | 0 | 0 | 0.034021 | 0.231219 | 3,594 | 123 | 116 | 29.219512 | 0.786826 | 0.023929 | 0 | 0.023256 | 0 | 0 | 0.072846 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0 | 0.186047 | 0 | 0.232558 | 0.05814 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c028ee1a5ced657b4755383e247cbb2fed35a8 | 416 | py | Python | paccmann_chemistry/utils/hyperparams.py | PaccMann/paccmann_chemistry | f7e9735aafb936f837c38b5055c654be178f385f | [
"MIT"
] | 9 | 2019-11-06T10:39:15.000Z | 2022-01-09T11:08:52.000Z | paccmann_chemistry/utils/hyperparams.py | PaccMann/paccmann_chemistry | f7e9735aafb936f837c38b5055c654be178f385f | [
"MIT"
] | 10 | 2019-11-06T17:33:51.000Z | 2020-12-28T07:46:23.000Z | paccmann_chemistry/utils/hyperparams.py | PaccMann/paccmann_chemistry | f7e9735aafb936f837c38b5055c654be178f385f | [
"MIT"
] | 5 | 2020-08-13T15:00:57.000Z | 2022-03-24T14:29:07.000Z | """Model Parameters Module."""
import torch.optim as optim
from .search import SamplingSearch, GreedySearch, BeamSearch
SEARCH_FACTORY = {
'sampling': SamplingSearch,
'greedy': GreedySearch,
'beam': BeamSearch,
}
OPTIMIZER_FACTORY = {
'adadelta': optim.Adadelta,
'adagrad': optim.Adagrad,
'adam... | 21.894737 | 60 | 0.675481 | 42 | 416 | 6.642857 | 0.547619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.185096 | 416 | 18 | 61 | 23.111111 | 0.823009 | 0.057692 | 0 | 0 | 0 | 0 | 0.137306 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.133333 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c1c1059c5b91f27882844cb4c3becda27ebd7c | 6,417 | py | Python | tests/gpflux/layers/test_latent_variable_layer.py | francescodonato/GPflux | fe45b353243b31d9fa0ec0daeb1d39a2e78ba094 | [
"Apache-2.0"
] | 100 | 2021-04-13T07:54:49.000Z | 2022-03-21T16:25:45.000Z | tests/gpflux/layers/test_latent_variable_layer.py | francescodonato/GPflux | fe45b353243b31d9fa0ec0daeb1d39a2e78ba094 | [
"Apache-2.0"
] | 17 | 2021-04-13T03:13:11.000Z | 2022-02-28T07:36:55.000Z | tests/gpflux/layers/test_latent_variable_layer.py | francescodonato/GPflux | fe45b353243b31d9fa0ec0daeb1d39a2e78ba094 | [
"Apache-2.0"
] | 13 | 2021-04-12T19:12:17.000Z | 2022-03-10T00:41:44.000Z | #
# Copyright (c) 2021 The GPflux Contributors.
#
# 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 agr... | 32.573604 | 99 | 0.717781 | 848 | 6,417 | 5.21934 | 0.275943 | 0.018075 | 0.032309 | 0.046317 | 0.286941 | 0.229327 | 0.208089 | 0.189336 | 0.189336 | 0.173972 | 0 | 0.011094 | 0.171264 | 6,417 | 196 | 100 | 32.739796 | 0.821173 | 0.163316 | 0 | 0.217391 | 0 | 0 | 0.011202 | 0 | 0 | 0 | 0 | 0 | 0.113043 | 1 | 0.078261 | false | 0 | 0.069565 | 0.008696 | 0.182609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c21d6803d82661080e36eb0e94a3b82f8b2f7c | 18,041 | py | Python | aw-actor-trust.py | actingweb/box-actingweb | f586458484649aba927cd78c60b4d0fec7b82ca6 | [
"Apache-2.0"
] | null | null | null | aw-actor-trust.py | actingweb/box-actingweb | f586458484649aba927cd78c60b4d0fec7b82ca6 | [
"Apache-2.0"
] | null | null | null | aw-actor-trust.py | actingweb/box-actingweb | f586458484649aba927cd78c60b4d0fec7b82ca6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
from actingweb import actor
from actingweb import config
from actingweb import trust
from actingweb import auth
import webapp2
import os
from google.appengine.ext.webapp import template
import json
import logging
import datetime
import time
# /trust handlers
#
# GET /trust with query paramet... | 41.955814 | 152 | 0.558228 | 1,868 | 18,041 | 5.322805 | 0.114026 | 0.056723 | 0.055818 | 0.078145 | 0.615307 | 0.590969 | 0.534748 | 0.473398 | 0.428342 | 0.416474 | 0 | 0.013286 | 0.332465 | 18,041 | 429 | 153 | 42.053613 | 0.812339 | 0.087357 | 0 | 0.616402 | 0 | 0 | 0.097518 | 0.004319 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026455 | false | 0 | 0.029101 | 0 | 0.15873 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c32f78fb7ce24035473595e0a40c4945453a5b | 2,465 | py | Python | classy_vision/heads/fully_connected_head.py | dlegor/ClassyVision | 9c82d533b66b0a5fbb11f8ab3567a9c70aa4e013 | [
"MIT"
] | 1 | 2021-04-11T19:01:10.000Z | 2021-04-11T19:01:10.000Z | classy_vision/heads/fully_connected_head.py | prigoyal/ClassyVision | db87bb87068ee8d2c7b21849ddd0548082e20a87 | [
"MIT"
] | null | null | null | classy_vision/heads/fully_connected_head.py | prigoyal/ClassyVision | db87bb87068ee8d2c7b21849ddd0548082e20a87 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
from typing import Any, Dict
import torch.nn as nn
from classy_vision.generic.util import is_pos_int
from classy_visio... | 31.602564 | 83 | 0.628398 | 317 | 2,465 | 4.712934 | 0.391167 | 0.066934 | 0.032129 | 0.022758 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004577 | 0.290872 | 2,465 | 77 | 84 | 32.012987 | 0.850114 | 0.403245 | 0 | 0 | 0 | 0 | 0.056732 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.083333 | false | 0 | 0.111111 | 0 | 0.277778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c3ac1232aa677a1999a869a726247c9e688214 | 3,400 | py | Python | custom_components/wyzeapi/binary_sensor.py | np-hacs/ha-wyzeapi | 8abc6af59d36514008f696310b290a046d7c7a72 | [
"Apache-2.0"
] | null | null | null | custom_components/wyzeapi/binary_sensor.py | np-hacs/ha-wyzeapi | 8abc6af59d36514008f696310b290a046d7c7a72 | [
"Apache-2.0"
] | null | null | null | custom_components/wyzeapi/binary_sensor.py | np-hacs/ha-wyzeapi | 8abc6af59d36514008f696310b290a046d7c7a72 | [
"Apache-2.0"
] | null | null | null | import logging
import time
from datetime import timedelta
from typing import List
from homeassistant.components.binary_sensor import (
BinarySensorEntity,
DEVICE_CLASS_MOTION
)
from homeassistant.config_entries import ConfigEntry
from homeassistant.const import ATTR_ATTRIBUTION
from homeassistant.core import H... | 29.059829 | 109 | 0.645 | 382 | 3,400 | 5.489529 | 0.290576 | 0.042918 | 0.024797 | 0.025751 | 0.104912 | 0.079161 | 0.079161 | 0.079161 | 0.043872 | 0.043872 | 0 | 0.002419 | 0.270588 | 3,400 | 116 | 110 | 29.310345 | 0.843145 | 0.031765 | 0 | 0.233333 | 0 | 0 | 0.044899 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.133333 | 0.044444 | 0.377778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c4cf9fb1ad31300587d3e24030d9670ed150d3 | 3,342 | py | Python | src/tornado-3.2.2/tornado/platform/common.py | code-annotator/tornado-annotated | 78fa3ab3b87a559c1db9ec11d86d79f6bf47853c | [
"MIT"
] | 645 | 2015-01-03T02:03:59.000Z | 2021-12-03T08:43:16.000Z | filenv/lib/python2.7/site-packages/tornado/platform/common.py | betoesquivel/fil2014 | 4c2e9188769096391bb206b76ed1ab8bd2ff66a1 | [
"MIT"
] | 2 | 2021-04-30T20:29:40.000Z | 2022-02-11T03:38:04.000Z | filenv/lib/python2.7/site-packages/tornado/platform/common.py | betoesquivel/fil2014 | 4c2e9188769096391bb206b76ed1ab8bd2ff66a1 | [
"MIT"
] | 222 | 2015-01-07T05:00:52.000Z | 2021-12-06T09:54:26.000Z | """Lowest-common-denominator implementations of platform functionality."""
from __future__ import absolute_import, division, print_function, with_statement
import errno
import socket
from tornado.platform import interface
class Waker(interface.Waker):
"""Create an OS independent asynchronous pipe.
For use ... | 36.326087 | 86 | 0.55775 | 415 | 3,342 | 4.450602 | 0.498795 | 0.043313 | 0.025988 | 0.030861 | 0.033568 | 0.033568 | 0 | 0 | 0 | 0 | 0 | 0.021296 | 0.35368 | 3,342 | 91 | 87 | 36.725275 | 0.833796 | 0.382406 | 0 | 0.269231 | 0 | 0 | 0.021361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0.038462 | 0.076923 | 0.038462 | 0.25 | 0.019231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c69927875c451378bcb7d50069e903036beefa | 5,490 | py | Python | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 26 | 2015-02-14T11:37:21.000Z | 2021-05-10T17:24:16.000Z | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 8 | 2015-02-14T17:33:24.000Z | 2021-10-05T20:32:19.000Z | bathymetry_blink/bathymetry_blink.py | poster515/BlinkyTape_Python | edc2f7e43fbf07dbfdeba60da7acb7ae7a3707d0 | [
"MIT"
] | 15 | 2015-01-24T23:36:54.000Z | 2021-10-02T23:40:08.000Z | """
This script will modulate the blinky lights using the following algorithm:
1) uses user-provided location to obtain row of pixel data from bathy image
2) samples a 'number of LEDs' number of pixels from that row
3) shifts the sampled row data to center it at the location specified by user
4) displays resulting pix... | 36.845638 | 230 | 0.654098 | 786 | 5,490 | 4.496183 | 0.375318 | 0.012733 | 0.025467 | 0.007923 | 0.034522 | 0.01245 | 0 | 0 | 0 | 0 | 0 | 0.025142 | 0.232058 | 5,490 | 149 | 231 | 36.845638 | 0.813093 | 0.436976 | 0 | 0.044118 | 0 | 0 | 0.213035 | 0.011673 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.102941 | 0 | 0.102941 | 0.102941 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c6ca6076e88b29cf949f6ea50aa8a721054e5d | 5,118 | py | Python | service/transforms/export_submissions.py | SFDigitalServices/pts-dispatcher-microservice-py | 80ec68d9d7f3f120a708717ed92c8b5a16742ff3 | [
"MIT"
] | null | null | null | service/transforms/export_submissions.py | SFDigitalServices/pts-dispatcher-microservice-py | 80ec68d9d7f3f120a708717ed92c8b5a16742ff3 | [
"MIT"
] | 4 | 2020-08-28T17:21:06.000Z | 2021-06-02T01:52:16.000Z | service/transforms/export_submissions.py | SFDigitalServices/pts-dispatcher-microservice-py | 80ec68d9d7f3f120a708717ed92c8b5a16742ff3 | [
"MIT"
] | null | null | null | """ Export Submissions Transform module """
#pylint: disable=too-few-public-methods
import pandas as pd
from .transform import TransformBase
from ..resources.field_configs import FieldConfigs
from ..resources.field_maps import FieldMaps
class ExportSubmissionsTransform(TransformBase):
""" Transform for Export Subm... | 44.12069 | 112 | 0.520125 | 512 | 5,118 | 5.074219 | 0.279297 | 0.048499 | 0.023095 | 0.013087 | 0.046959 | 0.046959 | 0 | 0 | 0 | 0 | 0 | 0.002545 | 0.385893 | 5,118 | 115 | 113 | 44.504348 | 0.824053 | 0.150254 | 0 | 0.157895 | 0 | 0 | 0.038116 | 0.005919 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065789 | false | 0 | 0.052632 | 0 | 0.197368 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c723ccb8662448fc572ef43b245239e373eaa3 | 2,877 | py | Python | python/ray/ml/tests/test_torch_trainer.py | mgelbart/ray | 4cec2286572e368a4bd64aae467751a384eff62d | [
"Apache-2.0"
] | 22 | 2018-05-08T05:52:34.000Z | 2020-04-01T10:09:55.000Z | python/ray/ml/tests/test_torch_trainer.py | mgelbart/ray | 4cec2286572e368a4bd64aae467751a384eff62d | [
"Apache-2.0"
] | 73 | 2021-09-25T07:11:39.000Z | 2022-03-26T07:10:59.000Z | python/ray/ml/tests/test_torch_trainer.py | mgelbart/ray | 4cec2286572e368a4bd64aae467751a384eff62d | [
"Apache-2.0"
] | 10 | 2018-04-27T10:50:59.000Z | 2020-02-24T02:41:43.000Z | import pytest
import torch
import ray
from ray.ml.predictors.integrations.torch import TorchPredictor
from ray.ml.train.integrations.torch import TorchTrainer
from ray import train
from ray.ml.examples.pytorch.torch_linear_example import train_func as linear_train_func
@pytest.fixture
def ray_start_4_cpus():
add... | 28.77 | 88 | 0.681265 | 369 | 2,877 | 5.01897 | 0.281843 | 0.043737 | 0.019438 | 0.028078 | 0.534557 | 0.510799 | 0.470842 | 0.470842 | 0.446004 | 0.446004 | 0 | 0.012406 | 0.215502 | 2,877 | 99 | 89 | 29.060606 | 0.808152 | 0.041363 | 0 | 0.418919 | 0 | 0 | 0.042468 | 0 | 0 | 0 | 0 | 0 | 0.054054 | 1 | 0.148649 | false | 0 | 0.121622 | 0.027027 | 0.324324 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9c9b89785f6cfc7757c2e1d1d401d256c20d14f | 2,567 | py | Python | Pzzzzz/plugins/wm.py | Pzzzzz5142/animal-forest-QQ-group-bot | a9141a212a7746ac95d28459ec9cec5b6c188b35 | [
"MIT"
] | 5 | 2020-05-28T06:29:33.000Z | 2020-09-30T12:14:46.000Z | Pzzzzz/plugins/wm.py | Pzzzzz5142/xjbx-QQ-group-bot | a9141a212a7746ac95d28459ec9cec5b6c188b35 | [
"MIT"
] | null | null | null | Pzzzzz/plugins/wm.py | Pzzzzz5142/xjbx-QQ-group-bot | a9141a212a7746ac95d28459ec9cec5b6c188b35 | [
"MIT"
] | null | null | null | from nonebot import CommandSession, on_command
from langdetect import detect, detect_langs
from aiohttp import ClientSession
from nonebot import get_bot
from nonebot.argparse import ArgumentParser
import time
import hmac
import random, sys
import hashlib
import binascii
import urllib
bot = get_bot()
# 百度通用翻译API,不包含词典、... | 27.021053 | 75 | 0.592131 | 314 | 2,567 | 4.773885 | 0.401274 | 0.096064 | 0.056037 | 0.024016 | 0.044029 | 0.044029 | 0.044029 | 0 | 0 | 0 | 0 | 0.008333 | 0.252045 | 2,567 | 94 | 76 | 27.308511 | 0.772396 | 0.031944 | 0 | 0.078947 | 0 | 0 | 0.095968 | 0.009677 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.013158 | 0.184211 | 0 | 0.184211 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ca7d1ad949a33a39144490cd6ec4bc4a1910a2 | 5,375 | py | Python | home/scripts/memory/lpsolve.py | ParksProjets/Mips-Applications | d4284a5ee357b0e5f348b9af28bb0d90c036ae99 | [
"MIT"
] | 1 | 2019-01-08T08:41:22.000Z | 2019-01-08T08:41:22.000Z | home/scripts/memory/lpsolve.py | ParksProjets/Mips-Applications | d4284a5ee357b0e5f348b9af28bb0d90c036ae99 | [
"MIT"
] | null | null | null | home/scripts/memory/lpsolve.py | ParksProjets/Mips-Applications | d4284a5ee357b0e5f348b9af28bb0d90c036ae99 | [
"MIT"
] | null | null | null | """
LpSolve wrapper.
Copyright (C) 2018, Guillaume Gonnet
License MIT
"""
from ctypes import *
import sys
import os.path as path
import platform
# Import the DLL
ver = ("x86", "x64")[sys.maxsize > 2**32]
here = path.dirname(__file__)
if sys.platform == "win32":
lib = windll.LoadLibrary(path.abspath(path.join... | 25.116822 | 92 | 0.630884 | 790 | 5,375 | 4.083544 | 0.201266 | 0.031618 | 0.022319 | 0.047737 | 0.32734 | 0.253255 | 0.182269 | 0.16243 | 0.16243 | 0.106014 | 0 | 0.008387 | 0.245767 | 5,375 | 213 | 93 | 25.234742 | 0.787371 | 0.067535 | 0 | 0.077519 | 0 | 0 | 0.115881 | 0 | 0 | 0 | 0 | 0 | 0.054264 | 1 | 0.124031 | false | 0 | 0.031008 | 0.007752 | 0.248062 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cb7d0cdfc5b919d86c41747507b434bce2ff4e | 2,595 | py | Python | scripts/charts.py | yshrdbrn/bigdata | 51114ae98354ee094e0bcff26c1814f85c434148 | [
"MIT"
] | null | null | null | scripts/charts.py | yshrdbrn/bigdata | 51114ae98354ee094e0bcff26c1814f85c434148 | [
"MIT"
] | 1 | 2020-02-01T04:53:43.000Z | 2020-02-01T04:53:43.000Z | scripts/charts.py | yshrdbrn/bigdata | 51114ae98354ee094e0bcff26c1814f85c434148 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import pandas as pd
def group_by_category(df):
grouped = df.groupby(['CATEGORY']).size().to_frame('Crimes')
labels = ['Trespassing', 'Vehicle theft', 'General Theft',
'Damage to Property', 'Robbery', 'Homicide']
p = grouped.plot.pie(y='Crimes', labels=labels, ... | 38.161765 | 91 | 0.668208 | 373 | 2,595 | 4.439678 | 0.217158 | 0.050725 | 0.036232 | 0.065217 | 0.597826 | 0.562802 | 0.541063 | 0.396135 | 0.396135 | 0.350242 | 0 | 0.006358 | 0.151445 | 2,595 | 67 | 92 | 38.731343 | 0.745686 | 0 | 0 | 0.275862 | 0 | 0 | 0.300193 | 0.056262 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0.017241 | 0.034483 | 0 | 0.137931 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cc56ba272dad2f5e9b82b388ad10350a722906 | 15,349 | py | Python | unittests.py | benjaminkrenn/abcvoting | 1e3833a7314d3467de7560f7e531a4c35c6eda08 | [
"MIT"
] | null | null | null | unittests.py | benjaminkrenn/abcvoting | 1e3833a7314d3467de7560f7e531a4c35c6eda08 | [
"MIT"
] | null | null | null | unittests.py | benjaminkrenn/abcvoting | 1e3833a7314d3467de7560f7e531a4c35c6eda08 | [
"MIT"
] | null | null | null | # Unit tests
import unittest
def run_test_instance(unittestinstance, profile, committeesize, tests):
import rules_approval
# all rules used?
for rule in rules_approval.MWRULES:
unittestinstance.assertTrue(rule in tests.keys())
for rule in tests.keys():
output = rules_approval.comp... | 42.167582 | 79 | 0.410906 | 2,000 | 15,349 | 3.097 | 0.065 | 0.042299 | 0.035841 | 0.018082 | 0.67969 | 0.608492 | 0.524217 | 0.463513 | 0.379238 | 0.278172 | 0 | 0.135299 | 0.407714 | 15,349 | 363 | 80 | 42.283747 | 0.546035 | 0.020913 | 0 | 0.448845 | 0 | 0 | 0.047017 | 0 | 0 | 0 | 0 | 0 | 0.089109 | 1 | 0.036304 | false | 0 | 0.066007 | 0 | 0.105611 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cc99c89bae7a8c33f8aa618bc77a5eebb78e7c | 7,638 | py | Python | Robustness Check/Calculating Risk Factors/calculate_momentum_factor.py | behnoud-bazrafshan/ThesisPortfolio | 2edda0109fb8aafc984b5dfc2e59cabb949b4a78 | [
"MIT"
] | null | null | null | Robustness Check/Calculating Risk Factors/calculate_momentum_factor.py | behnoud-bazrafshan/ThesisPortfolio | 2edda0109fb8aafc984b5dfc2e59cabb949b4a78 | [
"MIT"
] | null | null | null | Robustness Check/Calculating Risk Factors/calculate_momentum_factor.py | behnoud-bazrafshan/ThesisPortfolio | 2edda0109fb8aafc984b5dfc2e59cabb949b4a78 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import jdatetime
pd.options.mode.chained_assignment = None
# Read Bourseview data for market cap
# Concat all 75 tickers' data
me_list = []
for file_number in range(1, 76):
print(file_number)
me_path = f'E:/Thesis/New Sampling/Daily Data - Bourseview/'\
... | 38.38191 | 77 | 0.612857 | 1,040 | 7,638 | 4.269231 | 0.247115 | 0.056982 | 0.067342 | 0.021622 | 0.263063 | 0.216216 | 0.137387 | 0.110811 | 0.022523 | 0.022523 | 0 | 0.081327 | 0.238544 | 7,638 | 198 | 78 | 38.575758 | 0.682084 | 0.127258 | 0 | 0.070588 | 0 | 0 | 0.165502 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.005882 | 0.017647 | 0 | 0.017647 | 0.005882 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cdaf9a83cf7f7590823c87b5b4ab6e714294e0 | 4,632 | py | Python | source/lambda/geoip_downloader/index.py | aws-samples/siem-on-amazon-opensearch-service | 9bac87d39e9fab04f483bae54ffe94948af096ff | [
"MIT-0"
] | 92 | 2021-09-14T06:41:06.000Z | 2022-03-31T09:52:07.000Z | source/lambda/geoip_downloader/index.py | aws-samples/siem-on-amazon-opensearch-service | 9bac87d39e9fab04f483bae54ffe94948af096ff | [
"MIT-0"
] | 74 | 2021-09-18T01:46:47.000Z | 2022-03-28T10:46:59.000Z | source/lambda/geoip_downloader/index.py | aws-samples/siem-on-amazon-opensearch-service | 9bac87d39e9fab04f483bae54ffe94948af096ff | [
"MIT-0"
] | 42 | 2021-09-16T23:00:00.000Z | 2022-03-29T15:11:43.000Z | # Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
__copyright__ = ('Copyright Amazon.com, Inc. or its affiliates. '
'All Rights Reserved.')
__version__ = '2.7.1'
__license__ = 'MIT-0'
__author__ = 'Akihiro Nakajima'
__url__ = 'https://github.com/aws-s... | 34.827068 | 122 | 0.633636 | 527 | 4,632 | 5.43833 | 0.343454 | 0.058618 | 0.019888 | 0.018842 | 0.137474 | 0.095604 | 0.036985 | 0.036985 | 0.036985 | 0.036985 | 0 | 0.01498 | 0.236183 | 4,632 | 132 | 123 | 35.090909 | 0.795082 | 0.053109 | 0 | 0.111111 | 0 | 0 | 0.222552 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.138889 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cdbec7cf44be7c5e8dcf70bed770879dcd7e21 | 16,679 | py | Python | components/mroipac/baseline/Baseline.py | earthobservatory/isce2 | 655c46cc4add275879167b750a5e91f6d00f168e | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-10-06T12:21:02.000Z | 2019-10-06T12:21:02.000Z | components/mroipac/baseline/Baseline.py | earthobservatory/isce2 | 655c46cc4add275879167b750a5e91f6d00f168e | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | components/mroipac/baseline/Baseline.py | earthobservatory/isce2 | 655c46cc4add275879167b750a5e91f6d00f168e | [
"ECL-2.0",
"Apache-2.0"
] | 2 | 2021-06-24T20:20:18.000Z | 2021-06-24T20:32:23.000Z | #~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
# Copyright 2010 California Institute of Technology. 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 th... | 39.523697 | 202 | 0.655495 | 1,840 | 16,679 | 5.902174 | 0.244565 | 0.016206 | 0.020626 | 0.013812 | 0.160958 | 0.114088 | 0.068048 | 0.058748 | 0.031676 | 0.020258 | 0 | 0.010068 | 0.24372 | 16,679 | 421 | 203 | 39.617577 | 0.85088 | 0.225553 | 0 | 0.105263 | 0 | 0 | 0.07378 | 0.003269 | 0 | 0 | 0 | 0.002375 | 0 | 1 | 0.140351 | false | 0 | 0.021053 | 0.059649 | 0.294737 | 0.021053 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cf50080cfd2da35179773577dfa101c0a0615b | 1,106 | py | Python | src/modules/deuces/deck.py | Bot-Box/FiveCardStud | 55e11d7a23becece33658075f922cf007909d058 | [
"MIT"
] | null | null | null | src/modules/deuces/deck.py | Bot-Box/FiveCardStud | 55e11d7a23becece33658075f922cf007909d058 | [
"MIT"
] | 1 | 2020-05-09T20:27:33.000Z | 2020-05-09T20:27:33.000Z | src/modules/deuces/deck.py | Bot-Box/FiveCardStud | 55e11d7a23becece33658075f922cf007909d058 | [
"MIT"
] | null | null | null | from random import shuffle as rshuffle
from .card import Card
class Deck:
"""
Class representing a deck. The first time we create, we seed the static
deck with the list of unique card integers. Each object instantiated simply
makes a copy of this object and shuffles it.
"""
_FULL_DECK = []
... | 25.136364 | 79 | 0.605787 | 149 | 1,106 | 4.328859 | 0.449664 | 0.062016 | 0.074419 | 0.055814 | 0.068217 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006553 | 0.310127 | 1,106 | 43 | 80 | 25.72093 | 0.838794 | 0.221519 | 0 | 0.076923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.076923 | 0.038462 | 0.538462 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cfb448c497219965f4d51af8838d801a58ed41 | 21,000 | py | Python | openidc_client/__init__.py | puiterwijk/python-openidc-client | cd8d91c0503124305727f38a0f9fe93bb472209c | [
"MIT"
] | 6 | 2017-03-16T13:32:11.000Z | 2021-06-21T19:12:21.000Z | openidc_client/__init__.py | puiterwijk/python-openidc-client | cd8d91c0503124305727f38a0f9fe93bb472209c | [
"MIT"
] | 5 | 2017-03-23T19:50:36.000Z | 2022-01-25T04:45:27.000Z | openidc_client/__init__.py | puiterwijk/python-openidc-client | cd8d91c0503124305727f38a0f9fe93bb472209c | [
"MIT"
] | 4 | 2017-03-21T17:34:28.000Z | 2022-01-24T06:16:19.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2016, 2017 Red Hat, Inc.
# Red Hat Author: Patrick Uiterwijk <puiterwijk@redhat.com>
#
# 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 restri... | 40.384615 | 87 | 0.617 | 2,749 | 21,000 | 4.588214 | 0.191342 | 0.019979 | 0.01213 | 0.012685 | 0.172362 | 0.134464 | 0.120035 | 0.115754 | 0.10727 | 0.075081 | 0 | 0.003163 | 0.307381 | 21,000 | 519 | 88 | 40.462428 | 0.864008 | 0.385571 | 0 | 0.27931 | 0 | 0 | 0.135661 | 0.001921 | 0 | 0 | 0 | 0.001927 | 0.013793 | 1 | 0.058621 | false | 0 | 0.068966 | 0 | 0.224138 | 0.017241 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9cfea74cbe1fffe3e3d0849bdd6679785142bf0 | 7,159 | py | Python | eoxserver/services/ows/wps/v10/encoders/parameters.py | constantinius/eoxserver_combined | 68f261133fed65a4e8a6ddba82b0d2845171e4bf | [
"OML"
] | 1 | 2017-11-21T22:23:30.000Z | 2017-11-21T22:23:30.000Z | eoxserver/services/ows/wps/v10/encoders/parameters.py | constantinius/eoxserver_combined | 68f261133fed65a4e8a6ddba82b0d2845171e4bf | [
"OML"
] | null | null | null | eoxserver/services/ows/wps/v10/encoders/parameters.py | constantinius/eoxserver_combined | 68f261133fed65a4e8a6ddba82b0d2845171e4bf | [
"OML"
] | null | null | null | #-------------------------------------------------------------------------------
#
# WPS 1.0 parameters' XML encoders
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
# Martin Paces <martin.paces@eox.at>
#
#-----------------------------------------------------... | 38.283422 | 80 | 0.621875 | 862 | 7,159 | 5.056845 | 0.271462 | 0.014912 | 0.026841 | 0.020647 | 0.206699 | 0.140399 | 0.095435 | 0.095435 | 0.095435 | 0.021565 | 0 | 0.002415 | 0.19011 | 7,159 | 186 | 81 | 38.489247 | 0.749396 | 0.289845 | 0 | 0.083333 | 0 | 0 | 0.101117 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091667 | false | 0 | 0.016667 | 0.016667 | 0.216667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d317f8ac0c3d87ca7347265d7a9836b41ed098 | 2,481 | py | Python | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | 1 | 2021-09-17T20:39:07.000Z | 2021-09-17T20:39:07.000Z | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | 133 | 2021-08-29T17:24:26.000Z | 2022-03-25T17:24:31.000Z | gci-vci-serverless/src/helpers/vp_saves_helpers.py | ClinGen/gene-and-variant-curation-tools | 30f21d8f03d8b5c180c1ce3cb8401b5abc660080 | [
"MIT"
] | null | null | null | import datetime
import uuid
import simplejson as json
from src.db.s3_client import Client as S3Client
from decimal import Decimal
def get_from_archive(archive_key):
''' Download a VP Save from S3.
:param str archive_key: The vp_save data's location (S3 bucket and file path). This value is required.
'''
if ... | 27.263736 | 104 | 0.699315 | 389 | 2,481 | 4.300771 | 0.290488 | 0.064555 | 0.033473 | 0.045427 | 0.1315 | 0.069337 | 0.069337 | 0 | 0 | 0 | 0 | 0.009615 | 0.203547 | 2,481 | 90 | 105 | 27.566667 | 0.837045 | 0.359532 | 0 | 0.266667 | 0 | 0 | 0.101816 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088889 | false | 0 | 0.111111 | 0.022222 | 0.288889 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d321dead6bc8e55098581c550215a3e969a2f1 | 464 | py | Python | docs/source/auto_examples/plot_usage.py | ruhugu/brokenaxes | 1cfb301c854b3336aeb4dd9a2c329310534dfb21 | [
"MIT"
] | 362 | 2017-05-01T10:20:56.000Z | 2022-03-29T21:39:09.000Z | docs/source/auto_examples/plot_usage.py | ruhugu/brokenaxes | 1cfb301c854b3336aeb4dd9a2c329310534dfb21 | [
"MIT"
] | 73 | 2017-04-20T18:54:39.000Z | 2021-12-02T08:04:21.000Z | docs/source/auto_examples/plot_usage.py | ruhugu/brokenaxes | 1cfb301c854b3336aeb4dd9a2c329310534dfb21 | [
"MIT"
] | 52 | 2017-05-04T13:03:25.000Z | 2022-03-29T21:39:20.000Z | """
Basic usage
===========
This example presents the basic usage of brokenaxes
"""
import matplotlib.pyplot as plt
from brokenaxes import brokenaxes
import numpy as np
fig = plt.figure(figsize=(5,2))
bax = brokenaxes(xlims=((0, .1), (.4, .7)), ylims=((-1, .7), (.79, 1)), hspace=.05)
x = np.linspace(0, 1, 100)
bax... | 21.090909 | 83 | 0.644397 | 79 | 464 | 3.759494 | 0.594937 | 0.161616 | 0.053872 | 0.06734 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.057214 | 0.133621 | 464 | 21 | 84 | 22.095238 | 0.681592 | 0.163793 | 0 | 0 | 0 | 0 | 0.039578 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d368d362ab070d71b3363fe0fb20728ec9660d | 5,985 | py | Python | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | 1 | 2021-02-28T15:38:37.000Z | 2021-02-28T15:38:37.000Z | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | null | null | null | src/entity/002_createRdf.py | toyo-bunko/paper_app | f988e05cf83711d98c5ed735c0fd74fcf11e0f05 | [
"Apache-2.0"
] | null | null | null | import shutil
import os
import json
import glob
import yaml
import sys
import urllib
import ssl
import csv
import time
import requests
import json
import csv
from rdflib import URIRef, BNode, Literal, Graph
from rdflib.namespace import RDF, RDFS, FOAF, XSD
from rdflib import Namespace
all = Graph()
with open("data/... | 29.338235 | 129 | 0.513116 | 743 | 5,985 | 4.095559 | 0.179004 | 0.061453 | 0.055866 | 0.035491 | 0.495892 | 0.394676 | 0.338153 | 0.338153 | 0.261255 | 0.253368 | 0 | 0.018863 | 0.326817 | 5,985 | 204 | 130 | 29.338235 | 0.736411 | 0.00685 | 0 | 0.198198 | 0 | 0 | 0.238463 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.144144 | 0 | 0.144144 | 0.018018 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d4e94302ccb3b8bcc4d40fbc60872ee3780872 | 2,107 | py | Python | client/tests/test_config_read_tool.py | nuft/can-bootloader | 18dd77dae1fb2328dac1fd1df2c9e5d5c936771e | [
"BSD-2-Clause"
] | null | null | null | client/tests/test_config_read_tool.py | nuft/can-bootloader | 18dd77dae1fb2328dac1fd1df2c9e5d5c936771e | [
"BSD-2-Clause"
] | null | null | null | client/tests/test_config_read_tool.py | nuft/can-bootloader | 18dd77dae1fb2328dac1fd1df2c9e5d5c936771e | [
"BSD-2-Clause"
] | null | null | null | import unittest
try:
from unittest.mock import *
except ImportError:
from mock import *
from msgpack import *
import bootloader_read_config
from commands import *
import sys
import json
class ReadConfigToolTestCase(unittest.TestCase):
@patch('utils.write_command_retry')
@patch('utils.write_command'... | 30.985294 | 78 | 0.596108 | 258 | 2,107 | 4.620155 | 0.329457 | 0.120805 | 0.099832 | 0.029362 | 0.514262 | 0.391779 | 0.317114 | 0.162752 | 0.098993 | 0.098993 | 0 | 0.014208 | 0.298529 | 2,107 | 67 | 79 | 31.447761 | 0.792287 | 0.04224 | 0 | 0.26087 | 0 | 0 | 0.122429 | 0.058204 | 0 | 0 | 0 | 0 | 0.065217 | 1 | 0.043478 | false | 0 | 0.195652 | 0 | 0.26087 | 0.108696 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d51a8133c12a74117e8b569f8ace23d5fb49e6 | 5,499 | py | Python | bot.py | Pyrrolidine/letterboxd-bot | b2cd1364e00c3ec6fb70be9c8be7a8b707a8ffbe | [
"MIT"
] | 1 | 2021-03-14T20:01:53.000Z | 2021-03-14T20:01:53.000Z | bot.py | Pyrrolidine/letterboxd-bot | b2cd1364e00c3ec6fb70be9c8be7a8b707a8ffbe | [
"MIT"
] | null | null | null | bot.py | Pyrrolidine/letterboxd-bot | b2cd1364e00c3ec6fb70be9c8be7a8b707a8ffbe | [
"MIT"
] | null | null | null | import logging
from asyncio import sleep
import discord
from discord.ext import commands
from config import SETTINGS
from crew import crew_embed
from diary import diary_embed
from film import film_embed
from helpers import LetterboxdError
from list_ import list_embed
from review import review_embed
from user import us... | 28.640625 | 78 | 0.651755 | 731 | 5,499 | 4.771546 | 0.253078 | 0.03211 | 0.024083 | 0.026089 | 0.249713 | 0.205275 | 0.151663 | 0.151663 | 0.131594 | 0.131594 | 0 | 0.005221 | 0.233679 | 5,499 | 191 | 79 | 28.790576 | 0.822496 | 0.008183 | 0 | 0.256579 | 0 | 0 | 0.090626 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.078947 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d5cc7533855c3c985b9ccbdc0f7d78d12441b1 | 746 | py | Python | Complab assignment.py | peteboi/Python-Scripts | d84e352c41cff3f459d88c83bc81f6dc2f25ed05 | [
"MIT"
] | null | null | null | Complab assignment.py | peteboi/Python-Scripts | d84e352c41cff3f459d88c83bc81f6dc2f25ed05 | [
"MIT"
] | null | null | null | Complab assignment.py | peteboi/Python-Scripts | d84e352c41cff3f459d88c83bc81f6dc2f25ed05 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
def orbit(u):
x,y,v_x,v_y = u
r=np.hypot(x,y)
#r= 1.521e+06
#M,G=1.989e+30,6.7e-11
M,G=20,110
f=G*M/r**3
return np.array([v_x,v_y,-f*x,-f*y])
def RK4(f,u,dt):
k1=f(u)*dt
k2=f(u+0.5*k1)*dt
... | 19.128205 | 51 | 0.518767 | 174 | 746 | 2.166667 | 0.33908 | 0.026525 | 0.023873 | 0.03183 | 0.03183 | 0.03183 | 0 | 0 | 0 | 0 | 0 | 0.122995 | 0.247989 | 746 | 38 | 52 | 19.631579 | 0.54902 | 0.072386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.107143 | false | 0 | 0.071429 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d5e8ec4bcf85e917876d27f935eeb707d35bc9 | 675 | py | Python | factory_generator/management/commands/generate_factories.py | gamabounty/django-factory-generator | 284184b22f3564a7a915ac3f3363e588d3721158 | [
"MIT"
] | 10 | 2019-04-19T03:00:09.000Z | 2022-02-23T16:17:43.000Z | factory_generator/management/commands/generate_factories.py | charlesthk/django-factory-generator | cd0f7aa5b4ecc2bbe8f30a081238056c653d7265 | [
"MIT"
] | 2 | 2020-05-10T00:40:51.000Z | 2021-02-28T11:31:26.000Z | factory_generator/management/commands/generate_factories.py | charlesthk/django-factory-generator | cd0f7aa5b4ecc2bbe8f30a081238056c653d7265 | [
"MIT"
] | 6 | 2019-12-19T16:26:00.000Z | 2021-05-13T23:42:35.000Z | import os
from django.apps import apps
from django.core.management.base import BaseCommand
from factory_generator.generator import FactoryAppGenerator
class Command(BaseCommand):
help = 'Create model factories for all installed apps'
def handle(self, *args, **options):
created_files = []
fo... | 33.75 | 80 | 0.715556 | 80 | 675 | 5.875 | 0.475 | 0.076596 | 0.080851 | 0.085106 | 0.153191 | 0.153191 | 0.153191 | 0 | 0 | 0 | 0 | 0 | 0.198519 | 675 | 19 | 81 | 35.526316 | 0.868762 | 0 | 0 | 0 | 0 | 0 | 0.115556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9d80db949c5d5f415b809076411a2404da55e53 | 10,912 | py | Python | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 2 | 2019-05-18T22:36:49.000Z | 2019-05-24T05:56:16.000Z | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 1 | 2020-04-22T12:45:26.000Z | 2020-04-22T12:45:26.000Z | sympy/combinatorics/testutil.py | ethankward/sympy | 44664d9f625a1c68bc492006cfe1012cb0b49ee4 | [
"BSD-3-Clause"
] | 3 | 2021-02-16T16:40:49.000Z | 2022-03-07T18:28:41.000Z | from sympy.combinatorics import Permutation
from sympy.combinatorics.util import _distribute_gens_by_base
rmul = Permutation.rmul
def _cmp_perm_lists(first, second):
"""
Compare two lists of permutations as sets.
This is used for testing purposes. Since the array form of a
permutation is currently a... | 32.47619 | 98 | 0.641679 | 1,482 | 10,912 | 4.588394 | 0.176113 | 0.09 | 0.093824 | 0.049412 | 0.340147 | 0.284853 | 0.215147 | 0.162647 | 0.123824 | 0.123824 | 0 | 0.023035 | 0.248076 | 10,912 | 335 | 99 | 32.573134 | 0.805728 | 0.363361 | 0 | 0.101449 | 0 | 0 | 0.011052 | 0 | 0 | 0 | 0 | 0 | 0.014493 | 1 | 0.050725 | false | 0 | 0.07971 | 0 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9da1ced032a66e58537bdeecea30c322d1a2f01 | 644 | py | Python | malleefowl/tests/test_wps_caps.py | Ouranosinc/malleefowl | 685a4cabe4c4ccafc2721a50e1f8178b8b81689e | [
"Apache-2.0"
] | null | null | null | malleefowl/tests/test_wps_caps.py | Ouranosinc/malleefowl | 685a4cabe4c4ccafc2721a50e1f8178b8b81689e | [
"Apache-2.0"
] | 4 | 2017-09-21T17:14:45.000Z | 2020-11-11T03:20:42.000Z | malleefowl/tests/test_wps_caps.py | Ouranosinc/malleefowl | 685a4cabe4c4ccafc2721a50e1f8178b8b81689e | [
"Apache-2.0"
] | null | null | null | import pytest
from pywps import Service
from pywps.tests import assert_response_success
from .common import client_for
from malleefowl.processes import processes
def test_wps_caps():
client = client_for(Service(processes=processes))
resp = client.get(service='wps', request='getcapabilities', version='1.0.0'... | 28 | 80 | 0.608696 | 65 | 644 | 5.907692 | 0.6 | 0.046875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006508 | 0.284161 | 644 | 22 | 81 | 29.272727 | 0.826464 | 0 | 0 | 0 | 0 | 0 | 0.200311 | 0.032609 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.055556 | false | 0 | 0.277778 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9dd8d48aa39f42683555f052c81e9f33f26c3cd | 1,835 | py | Python | setup.py | CallumJHays/pyngrok | e1a28948d1d8cf42f8eed1b166a2caf6b2a68066 | [
"MIT"
] | null | null | null | setup.py | CallumJHays/pyngrok | e1a28948d1d8cf42f8eed1b166a2caf6b2a68066 | [
"MIT"
] | null | null | null | setup.py | CallumJHays/pyngrok | e1a28948d1d8cf42f8eed1b166a2caf6b2a68066 | [
"MIT"
] | null | null | null | from setuptools import setup
__author__ = "Alex Laird"
__copyright__ = "Copyright 2019, Alex Laird"
__version__ = "1.4.0"
with open("README.md", "r") as f:
long_description = f.read()
setup(
name="pyngrok",
version=__version__,
packages=["pyngrok"],
python_requires=">=2.7, !=3.0.*, !=3.1.*, !=3.2... | 34.622642 | 95 | 0.611444 | 184 | 1,835 | 5.923913 | 0.532609 | 0.122018 | 0.16055 | 0.095413 | 0.062385 | 0.062385 | 0 | 0 | 0 | 0 | 0 | 0.01983 | 0.230518 | 1,835 | 52 | 96 | 35.288462 | 0.752125 | 0 | 0 | 0 | 0 | 0.020408 | 0.572752 | 0.023978 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.020408 | 0 | 0.020408 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ddd794f7ce3da3377a0064524099ee9b8e1fd8 | 1,377 | py | Python | pipelines/trackml.py | texasmichelle/kubeflow-cern | 886925fad5c37a72f6999c1100584fa8e4a0adae | [
"Apache-2.0"
] | 4 | 2019-06-06T20:10:08.000Z | 2021-02-19T11:59:39.000Z | pipelines/trackml.py | texasmichelle/kubeflow-cern | 886925fad5c37a72f6999c1100584fa8e4a0adae | [
"Apache-2.0"
] | null | null | null | pipelines/trackml.py | texasmichelle/kubeflow-cern | 886925fad5c37a72f6999c1100584fa8e4a0adae | [
"Apache-2.0"
] | 1 | 2019-10-13T03:51:16.000Z | 2019-10-13T03:51:16.000Z | #!/usr/bin/env python3
import kfp.dsl as dsl
import kfp.gcp as gcp
# Pipeline input variables.
KUBECTL_IMAGE = "gcr.io/mcas-195423/trackml_master_kfp_kubectl"
KUBECTL_IMAGE_VERSION = "1"
TRACKML_IMAGE = "gcr.io/mcas-195423/trackml_master_trackml"
TRACKML_IMAGE_VERSION = "1"
def train_op():
return dsl.ContainerOp(
... | 24.157895 | 63 | 0.688453 | 175 | 1,377 | 5.148571 | 0.354286 | 0.079911 | 0.063263 | 0.073252 | 0.372919 | 0.264151 | 0.215316 | 0.142064 | 0.142064 | 0.142064 | 0 | 0.014518 | 0.149601 | 1,377 | 56 | 64 | 24.589286 | 0.75491 | 0.046478 | 0 | 0.204545 | 0 | 0 | 0.223835 | 0.065699 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.068182 | 0.068182 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9de866f5c692eb5d2ae261f2a1854febddba480 | 2,211 | py | Python | bin/ticker.py | aleasoluciones/infrabbitmq | 2759590156c63b9a04fb5daf8d588a084fc30629 | [
"MIT"
] | null | null | null | bin/ticker.py | aleasoluciones/infrabbitmq | 2759590156c63b9a04fb5daf8d588a084fc30629 | [
"MIT"
] | null | null | null | bin/ticker.py | aleasoluciones/infrabbitmq | 2759590156c63b9a04fb5daf8d588a084fc30629 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
import puka
import argparse
import logging
from infcommon import utils
from infrabbitmq import factory as infrabbitmq_factory
from infrabbitmq.rabbitmq import RabbitMQError
from infrabbitmq.events_names import (
TICK_1_SECOND,
TICK_1_MINUTE,
TICK_2_MINUTES,
TICK_5_... | 29.878378 | 114 | 0.622795 | 245 | 2,211 | 5.342857 | 0.302041 | 0.073338 | 0.096257 | 0.061115 | 0.375859 | 0.341482 | 0.298701 | 0.298701 | 0.298701 | 0.298701 | 0 | 0.019595 | 0.284487 | 2,211 | 73 | 115 | 30.287671 | 0.807838 | 0.009498 | 0 | 0.218182 | 0 | 0 | 0.043876 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036364 | false | 0 | 0.145455 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9df003e9cd20fdfdd89b5aaebba29cdc7e644c5 | 16,137 | py | Python | transformers/modeling_encoder_decoder.py | Tarpelite/UniNLP | 176c2a0f88c8054bf69e1f92693d353737367c34 | [
"MIT"
] | null | null | null | transformers/modeling_encoder_decoder.py | Tarpelite/UniNLP | 176c2a0f88c8054bf69e1f92693d353737367c34 | [
"MIT"
] | 3 | 2021-06-02T00:41:41.000Z | 2022-02-10T01:07:59.000Z | transformers/modeling_encoder_decoder.py | Tarpelite/UniNLP | 176c2a0f88c8054bf69e1f92693d353737367c34 | [
"MIT"
] | 1 | 2020-01-27T03:02:19.000Z | 2020-01-27T03:02:19.000Z | # coding=utf-8
# Copyright 2018 The HuggingFace Inc. team.
#
# 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... | 51.88746 | 473 | 0.656008 | 1,947 | 16,137 | 5.30303 | 0.216744 | 0.02615 | 0.029443 | 0.032542 | 0.343923 | 0.330073 | 0.302954 | 0.255303 | 0.244649 | 0.237482 | 0 | 0.003413 | 0.273781 | 16,137 | 310 | 474 | 52.054839 | 0.877635 | 0.580653 | 0 | 0.296296 | 0 | 0.007407 | 0.120644 | 0.01786 | 0 | 0 | 0 | 0 | 0 | 1 | 0.059259 | false | 0.007407 | 0.044444 | 0 | 0.155556 | 0.007407 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9e182705452fe461a2142c0afa4786d47f19c46 | 2,131 | py | Python | dags/treinos_igti/treino03.py | rafaelols/airflow | 8e4af5fb576a9568af476c0607819649b724adea | [
"Apache-2.0"
] | null | null | null | dags/treinos_igti/treino03.py | rafaelols/airflow | 8e4af5fb576a9568af476c0607819649b724adea | [
"Apache-2.0"
] | null | null | null | dags/treinos_igti/treino03.py | rafaelols/airflow | 8e4af5fb576a9568af476c0607819649b724adea | [
"Apache-2.0"
] | null | null | null | from airflow import DAG
from airflow.operators.bash_operator import BashOperator
from airflow.operators.python_operator import PythonOperator, BranchPythonOperator
from datetime import datetime, timedelta
import pandas as pd
import random
# Default args definition
default_args = {
'owner': 'Rafael',
'depends_o... | 25.987805 | 147 | 0.697325 | 290 | 2,131 | 4.934483 | 0.406897 | 0.025157 | 0.025157 | 0.039832 | 0.125087 | 0.125087 | 0.106219 | 0.071279 | 0.071279 | 0.071279 | 0 | 0.011878 | 0.170343 | 2,131 | 81 | 148 | 26.308642 | 0.797511 | 0.017832 | 0 | 0.107692 | 0 | 0.015385 | 0.300478 | 0.047368 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0 | 0.092308 | 0.015385 | 0.2 | 0.030769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9e359c85a06bdc44937457ee401aaa8bebc7f50 | 2,560 | py | Python | tclCommands/TclCommandListSys.py | DannyPol/flatcam | 25a8634d0658e98b7fae31a095f8bef40c1b3067 | [
"MIT"
] | 1 | 2022-02-11T06:19:34.000Z | 2022-02-11T06:19:34.000Z | tclCommands/TclCommandListSys.py | MRemy2/FlatCam | d4f941335ca8a8d5351aab23b396f99da06a9029 | [
"MIT"
] | null | null | null | tclCommands/TclCommandListSys.py | MRemy2/FlatCam | d4f941335ca8a8d5351aab23b396f99da06a9029 | [
"MIT"
] | null | null | null | # ##########################################################
# FlatCAM: 2D Post-processing for Manufacturing #
# File Author: Marius Adrian Stanciu (c) #
# Date: 8/17/2019 #
# MIT Licence #
# #############... | 37.647059 | 120 | 0.55 | 290 | 2,560 | 4.8 | 0.437931 | 0.030172 | 0.036638 | 0.034483 | 0.103448 | 0.067529 | 0.067529 | 0.067529 | 0.067529 | 0.067529 | 0 | 0.004585 | 0.318359 | 2,560 | 67 | 121 | 38.208955 | 0.793123 | 0.3125 | 0 | 0.0625 | 0 | 0.03125 | 0.410863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.03125 | 0 | 0.34375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9e3f1d0e6ad9650ceb745dc1536525917eaef63 | 2,694 | py | Python | ogs5py/fileclasses/mcp/core.py | MuellerSeb/ogs5py | 752e7bd2298fbd476406d168f6b7d1a85863dccd | [
"MIT"
] | 3 | 2018-05-27T15:39:07.000Z | 2018-10-29T17:02:11.000Z | ogs5py/fileclasses/mcp/core.py | MuellerSeb/ogs5py | 752e7bd2298fbd476406d168f6b7d1a85863dccd | [
"MIT"
] | 1 | 2018-11-12T11:32:12.000Z | 2018-11-12T13:07:48.000Z | ogs5py/fileclasses/mcp/core.py | MuellerSeb/ogs5py | 752e7bd2298fbd476406d168f6b7d1a85863dccd | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Class for the ogs COMPONENT_PROPERTIES file."""
from ogs5py.fileclasses.base import BlockFile
class MCP(BlockFile):
"""
Class for the ogs COMPONENT_PROPERTIES file.
Parameters
----------
task_root : str, optional
Path to the destiny model folder.
... | 25.415094 | 78 | 0.485523 | 213 | 2,694 | 5.868545 | 0.516432 | 0.076 | 0.0216 | 0.0224 | 0.0592 | 0.0592 | 0.0592 | 0 | 0 | 0 | 0 | 0.005105 | 0.418337 | 2,694 | 105 | 79 | 25.657143 | 0.792597 | 0.464736 | 0 | 0 | 0 | 0 | 0.346667 | 0.048 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025 | false | 0 | 0.025 | 0 | 0.15 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9e5c18f6a37dd4a96dd21f7ddefb31b197848dd | 2,853 | py | Python | multithreaded_webcrawler.py | the-muses-ltd/Multithreaded-Webcrawler-Cassandra- | eee68faf3c6ecb548edd0e96ce445dcd366fb735 | [
"MIT"
] | null | null | null | multithreaded_webcrawler.py | the-muses-ltd/Multithreaded-Webcrawler-Cassandra- | eee68faf3c6ecb548edd0e96ce445dcd366fb735 | [
"MIT"
] | null | null | null | multithreaded_webcrawler.py | the-muses-ltd/Multithreaded-Webcrawler-Cassandra- | eee68faf3c6ecb548edd0e96ce445dcd366fb735 | [
"MIT"
] | null | null | null | # This is a reusable webcraawler architecture that can be adapted to scrape any webstie.
# RESULTS:
# Roughly 24 seconds per thousand courses scraped for ThreadPoolExecutor vs 63s for unthreaded script.
# This is a very basic implementation of multithreading in order to show the proof of concept, but is a good base to... | 42.58209 | 164 | 0.667368 | 383 | 2,853 | 4.859008 | 0.506527 | 0.021494 | 0.024181 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009767 | 0.246407 | 2,853 | 66 | 165 | 43.227273 | 0.855814 | 0.317911 | 0 | 0.045455 | 0 | 0 | 0.1797 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068182 | false | 0 | 0.159091 | 0.022727 | 0.25 | 0.068182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ea76a8227b5405cef7b2e6991bcba1911971f4 | 5,819 | py | Python | wikisourcesort.py | ostropunk/wikisourcesort | 3af2d086df0818a75b3e6c34550e2cc1382911a5 | [
"MIT"
] | null | null | null | wikisourcesort.py | ostropunk/wikisourcesort | 3af2d086df0818a75b3e6c34550e2cc1382911a5 | [
"MIT"
] | null | null | null | wikisourcesort.py | ostropunk/wikisourcesort | 3af2d086df0818a75b3e6c34550e2cc1382911a5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# In[1]:
import pandas as pd
import re
# In[2]:
def get_excel_dict(excelfile, key=None, index_col=0, header=0):
dataframe = pd.read_excel(excelfile, index_col=index_col, header=header)
dictionary = dataframe.to_dict()
if key is None:
return dictionary
... | 23.75102 | 104 | 0.598385 | 766 | 5,819 | 4.374674 | 0.206266 | 0.056699 | 0.032229 | 0.03581 | 0.231274 | 0.177261 | 0.177261 | 0.168606 | 0.149508 | 0.149508 | 0 | 0.012192 | 0.238873 | 5,819 | 244 | 105 | 23.848361 | 0.744412 | 0.210174 | 0 | 0.116071 | 0 | 0 | 0.11455 | 0.015364 | 0 | 0 | 0 | 0 | 0 | 1 | 0.151786 | false | 0 | 0.017857 | 0 | 0.321429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ec253823566d98d214c4860b8c8d8ac8c80515 | 2,188 | py | Python | python_utilities/plotting/util.py | sdaxen/python_utilities | 7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb | [
"MIT"
] | 2 | 2020-04-13T20:17:36.000Z | 2020-05-12T01:13:12.000Z | python_utilities/plotting/util.py | sethaxen/python_utilities | 7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb | [
"MIT"
] | 5 | 2015-10-20T22:57:51.000Z | 2017-09-07T01:10:23.000Z | python_utilities/plotting/util.py | sethaxen/python_utilities | 7b9d6cc21bfc31be83629d2ac02b27e886ebc2bb | [
"MIT"
] | 3 | 2015-08-17T17:55:41.000Z | 2018-09-19T13:56:42.000Z | """Utility functions for plotting.
Author: Seth Axen
E-mail: seth.axen@gmail.com"""
from collections import deque
import numpy as np
def rgb_to_hsv(rgb):
"""Convert RGB colors to HSV colors."""
r, g, b = tuple(map(float, rgb))
if any([r > 1, g > 1, b > 1]):
r /= 255.
g /= 255.
b ... | 24.863636 | 74 | 0.472121 | 336 | 2,188 | 3.017857 | 0.300595 | 0.053254 | 0.008876 | 0.021696 | 0.04142 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078652 | 0.349177 | 2,188 | 87 | 75 | 25.149425 | 0.633427 | 0.153565 | 0 | 0.03125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.03125 | 0 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ec2cc7a1a6ba6f4583fe5b1a6bc53ffc63f837 | 618 | py | Python | tests/test_process.py | confluentinc/utils-core | 6001b4c61f7d923d273a23dc5a1580e0fa277d2c | [
"MIT"
] | null | null | null | tests/test_process.py | confluentinc/utils-core | 6001b4c61f7d923d273a23dc5a1580e0fa277d2c | [
"MIT"
] | null | null | null | tests/test_process.py | confluentinc/utils-core | 6001b4c61f7d923d273a23dc5a1580e0fa277d2c | [
"MIT"
] | 1 | 2021-01-14T11:33:35.000Z | 2021-01-14T11:33:35.000Z | import pytest
from utils.process import run, silent_run, RunError
from utils.fs import in_temp_dir
def test_run(capsys):
with in_temp_dir():
assert run('echo hello > hello.txt; echo world >> hello.txt', shell=True)
out = run('ls', return_output=True)
assert out == 'hello.txt\n'
... | 24.72 | 81 | 0.600324 | 83 | 618 | 4.349398 | 0.433735 | 0.088643 | 0.049862 | 0.121884 | 0.166205 | 0.166205 | 0 | 0 | 0 | 0 | 0 | 0 | 0.26699 | 618 | 24 | 82 | 25.75 | 0.796909 | 0 | 0 | 0 | 0 | 0 | 0.160194 | 0 | 0 | 0 | 0 | 0 | 0.375 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ed79fef6ca74a4e312f154a876ffa2123179f7 | 16,276 | py | Python | slim/nets/inception_resnet_v2.py | PPTMiao/mtl-ssl | b61449c3f902414304657de6ec217077e441a6b9 | [
"Apache-2.0"
] | 90 | 2019-06-12T06:11:39.000Z | 2022-03-21T22:28:38.000Z | slim/nets/inception_resnet_v2.py | PPTMiao/mtl-ssl | b61449c3f902414304657de6ec217077e441a6b9 | [
"Apache-2.0"
] | 3 | 2020-03-24T17:01:25.000Z | 2021-02-02T22:00:11.000Z | slim/nets/inception_resnet_v2.py | PPTMiao/mtl-ssl | b61449c3f902414304657de6ec217077e441a6b9 | [
"Apache-2.0"
] | 17 | 2019-06-15T08:49:46.000Z | 2022-01-24T06:46:23.000Z | # Copyright 2016 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
#
# Unless required by applicable ... | 45.085873 | 80 | 0.616552 | 2,204 | 16,276 | 4.310345 | 0.158802 | 0.049474 | 0.041263 | 0.056 | 0.526737 | 0.469368 | 0.439368 | 0.371789 | 0.352 | 0.337474 | 0 | 0.07204 | 0.281887 | 16,276 | 360 | 81 | 45.211111 | 0.74076 | 0.232735 | 0 | 0.300448 | 0 | 0 | 0.107128 | 0 | 0 | 0 | 0 | 0.002778 | 0 | 1 | 0.03139 | false | 0 | 0.017937 | 0 | 0.076233 | 0.004484 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9ee27c57dbf76a3c2165139cae647ead0e58c46 | 6,479 | py | Python | tests/boilerplate_client/boilerplate_cmd.py | LedgerHQ/ledger-app-neo3 | 48e1e0dec3e4801fc3ab1b07c4fe4ed86735a642 | [
"MIT"
] | null | null | null | tests/boilerplate_client/boilerplate_cmd.py | LedgerHQ/ledger-app-neo3 | 48e1e0dec3e4801fc3ab1b07c4fe4ed86735a642 | [
"MIT"
] | 5 | 2021-09-13T16:41:52.000Z | 2022-01-12T16:00:21.000Z | tests/boilerplate_client/boilerplate_cmd.py | isabella232/app-neo3 | c48ec5032143fe606d694372c2cfc02082b2ce03 | [
"MIT"
] | 3 | 2021-09-01T11:40:09.000Z | 2022-03-06T06:45:13.000Z | import struct
from typing import Tuple
from ledgercomm import Transport
from boilerplate_client.boilerplate_cmd_builder import BoilerplateCommandBuilder, InsType
from boilerplate_client.button import Button
from boilerplate_client.exception import DeviceException
from boilerplate_client.transaction import Transaction... | 34.462766 | 131 | 0.533416 | 659 | 6,479 | 5.048558 | 0.174507 | 0.109107 | 0.158702 | 0.072738 | 0.607454 | 0.607454 | 0.581004 | 0.562369 | 0.562369 | 0.495041 | 0 | 0.022061 | 0.384319 | 6,479 | 188 | 132 | 34.462766 | 0.811983 | 0.104491 | 0 | 0.565574 | 0 | 0 | 0.003123 | 0 | 0 | 0 | 0.00694 | 0 | 0.016393 | 1 | 0.057377 | false | 0 | 0.065574 | 0 | 0.180328 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9efa4ffda8cacd286187e29ce110d292c7a1e64 | 946 | py | Python | clpy/sparse/util.py | fixstars/clpy | 693485f85397cc110fa45803c36c30c24c297df0 | [
"BSD-3-Clause"
] | 142 | 2018-06-07T07:43:10.000Z | 2021-10-30T21:06:32.000Z | clpy/sparse/util.py | fixstars/clpy | 693485f85397cc110fa45803c36c30c24c297df0 | [
"BSD-3-Clause"
] | 282 | 2018-06-07T08:35:03.000Z | 2021-03-31T03:14:32.000Z | clpy/sparse/util.py | fixstars/clpy | 693485f85397cc110fa45803c36c30c24c297df0 | [
"BSD-3-Clause"
] | 19 | 2018-06-19T11:07:53.000Z | 2021-05-13T20:57:04.000Z | import clpy
import clpy.sparse.base
_preamble_atomic_add = '''
#if __CUDA_ARCH__ < 600
__device__ double atomicAdd(double* address, double val) {
unsigned long long* address_as_ull =
(unsigned long long*)address;
unsigned long long old = *address_as_ull, assumed;
... | 24.25641 | 76 | 0.60148 | 118 | 946 | 4.567797 | 0.449153 | 0.06679 | 0.089054 | 0.085343 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007496 | 0.294926 | 946 | 38 | 77 | 24.894737 | 0.8006 | 0 | 0 | 0.066667 | 0 | 0 | 0.547569 | 0.113108 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.066667 | 0.033333 | 0.366667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9efc68d74f0ff6411265258b8ee1094b0fa820e | 1,316 | py | Python | test/test_cartesian.py | hwazni/discopy | 812a4c77de4c766591bad74306720b518cdc54fc | [
"BSD-3-Clause"
] | 205 | 2019-12-29T09:45:09.000Z | 2022-03-24T09:29:13.000Z | test/test_cartesian.py | hwazni/discopy | 812a4c77de4c766591bad74306720b518cdc54fc | [
"BSD-3-Clause"
] | 61 | 2019-12-11T10:46:38.000Z | 2022-03-28T17:10:52.000Z | test/test_cartesian.py | hwazni/discopy | 812a4c77de4c766591bad74306720b518cdc54fc | [
"BSD-3-Clause"
] | 46 | 2020-04-08T23:33:31.000Z | 2022-03-18T21:58:35.000Z | from pytest import raises
from discopy.cartesian import *
def test_Box_repr():
f = Box('f', 1, 2, lambda x: (x, x))
assert "Box('f', 1, 2" in repr(f)
def test_Function_str():
f = Function(2, 1, lambda x, y: x + y)
assert 'Function(dom=2, cod=1,' in str(f)
def test_Function_call():
f = Swap(2, ... | 25.803922 | 78 | 0.595745 | 221 | 1,316 | 3.447964 | 0.217195 | 0.073491 | 0.11811 | 0.08399 | 0.423885 | 0.391076 | 0.358268 | 0.358268 | 0.332021 | 0.262467 | 0 | 0.039039 | 0.240881 | 1,316 | 50 | 79 | 26.32 | 0.723724 | 0 | 0 | 0.333333 | 0 | 0 | 0.027356 | 0 | 0 | 0 | 0 | 0 | 0.222222 | 1 | 0.194444 | false | 0 | 0.055556 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f0ba759404ab21f8b93c6f40fde8e030bbf8a1 | 12,904 | py | Python | qiskit_metal/qlibrary/qubits/Transmon_Interdigitated.py | PatrickSJacobs/qiskit-metal | 9628369c4b880d1e13199e559f898c5e0b96eecb | [
"Apache-2.0"
] | null | null | null | qiskit_metal/qlibrary/qubits/Transmon_Interdigitated.py | PatrickSJacobs/qiskit-metal | 9628369c4b880d1e13199e559f898c5e0b96eecb | [
"Apache-2.0"
] | null | null | null | qiskit_metal/qlibrary/qubits/Transmon_Interdigitated.py | PatrickSJacobs/qiskit-metal | 9628369c4b880d1e13199e559f898c5e0b96eecb | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any... | 45.43662 | 93 | 0.577805 | 1,763 | 12,904 | 4.056154 | 0.152014 | 0.014543 | 0.018878 | 0.01762 | 0.420361 | 0.379108 | 0.346665 | 0.312823 | 0.284016 | 0.275766 | 0 | 0.043438 | 0.327418 | 12,904 | 283 | 94 | 45.597173 | 0.780505 | 0.376317 | 0 | 0.262411 | 0 | 0 | 0.018596 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014184 | false | 0 | 0.028369 | 0 | 0.070922 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f2ed71da13f5b57b61c1c386731f8180c40992 | 667 | py | Python | www/app.py | leeeGreat/xlw_study_python | 03d8eb59f6826b4689d6598ede6393ecbb5058fb | [
"MIT"
] | 1 | 2018-03-12T12:29:21.000Z | 2018-03-12T12:29:21.000Z | www/app.py | leeeGreat/xlw_study_python | 03d8eb59f6826b4689d6598ede6393ecbb5058fb | [
"MIT"
] | null | null | null | www/app.py | leeeGreat/xlw_study_python | 03d8eb59f6826b4689d6598ede6393ecbb5058fb | [
"MIT"
] | 1 | 2018-04-13T13:26:50.000Z | 2018-04-13T13:26:50.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'Michael Liao'
'''
async web application.
'''
import logging; logging.basicConfig(level=logging.INFO)
import asyncio, os, json, time
from datetime import datetime
from aiohttp import web
def index(request):
return web.Response(body=b'<h1>Awesome</h1>... | 22.233333 | 73 | 0.698651 | 99 | 667 | 4.585859 | 0.59596 | 0.052863 | 0.022026 | 0.026432 | 0.044053 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041885 | 0.14093 | 667 | 29 | 74 | 23 | 0.750436 | 0.064468 | 0 | 0 | 0 | 0 | 0.140203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.25 | 0.0625 | 0.4375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f306cc03073671d285f885169a3fe6dd743eef | 684 | py | Python | examples/Testing/flopy3_plotdata.py | ritchie46/flopy | 8e7284dcb3aaf5c12293d442248c2c2d9959f835 | [
"CC0-1.0",
"BSD-3-Clause"
] | 1 | 2021-03-17T09:15:54.000Z | 2021-03-17T09:15:54.000Z | examples/Testing/flopy3_plotdata.py | ritchie46/flopy | 8e7284dcb3aaf5c12293d442248c2c2d9959f835 | [
"CC0-1.0",
"BSD-3-Clause"
] | null | null | null | examples/Testing/flopy3_plotdata.py | ritchie46/flopy | 8e7284dcb3aaf5c12293d442248c2c2d9959f835 | [
"CC0-1.0",
"BSD-3-Clause"
] | 1 | 2021-08-05T19:11:27.000Z | 2021-08-05T19:11:27.000Z | from __future__ import print_function
import os
import numpy as np
import matplotlib.pyplot as plt
import flopy
fb = flopy.modflow.Modflow.load('freyberg', version='mf2005', model_ws=os.path.join('..', 'data', 'freyberg'), verbose=True)
dis = fb.dis
top = fb.dis.top
fb.dis.top.plot(grid=True, colorbar=True)
fb.d... | 20.727273 | 124 | 0.71345 | 121 | 684 | 3.966942 | 0.421488 | 0.083333 | 0.066667 | 0.041667 | 0.466667 | 0.410417 | 0.245833 | 0 | 0 | 0 | 0 | 0.019704 | 0.109649 | 684 | 33 | 125 | 20.727273 | 0.768473 | 0 | 0 | 0.238095 | 0 | 0 | 0.091971 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.238095 | 0 | 0.238095 | 0.095238 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f53b3bd4af7f2d655423b3e5a97d903f5c6dac | 2,025 | py | Python | apps/pypi/tests/test_slurper.py | cartwheelweb/packaginator | f6ce11da22154bce9cba42e896989bdb0fd5e865 | [
"MIT"
] | 1 | 2015-11-08T11:31:09.000Z | 2015-11-08T11:31:09.000Z | apps/pypi/tests/test_slurper.py | cartwheelweb/packaginator | f6ce11da22154bce9cba42e896989bdb0fd5e865 | [
"MIT"
] | null | null | null | apps/pypi/tests/test_slurper.py | cartwheelweb/packaginator | f6ce11da22154bce9cba42e896989bdb0fd5e865 | [
"MIT"
] | null | null | null | from django.template.defaultfilters import slugify
from django.test import TestCase
from package.models import Package, Version
from pypi.slurper import Slurper
TEST_PACKAGE_NAME = 'Django'
TEST_PACKAGE_VERSION = '1.3'
TEST_PACKAGE_REPO_NAME = 'django-uni-form'
class SlurpAllTests(TestCase):
def tes... | 39.705882 | 89 | 0.718025 | 244 | 2,025 | 5.602459 | 0.20082 | 0.160936 | 0.109729 | 0.13899 | 0.663497 | 0.625457 | 0.602048 | 0.602048 | 0.530358 | 0.530358 | 0 | 0.003766 | 0.213333 | 2,025 | 51 | 90 | 39.705882 | 0.854363 | 0.039506 | 0 | 0.352941 | 0 | 0 | 0.012352 | 0 | 0 | 0 | 0 | 0 | 0.294118 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.264706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f57949a15383ed2a070813678af904fe2e2df0 | 1,145 | py | Python | azure-mgmt-logic/azure/mgmt/logic/models/recurrence_schedule_occurrence.py | azuresdkci1x/azure-sdk-for-python-1722 | e08fa6606543ce0f35b93133dbb78490f8e6bcc9 | [
"MIT"
] | 1 | 2017-10-29T15:14:35.000Z | 2017-10-29T15:14:35.000Z | azure-mgmt-logic/azure/mgmt/logic/models/recurrence_schedule_occurrence.py | azuresdkci1x/azure-sdk-for-python-1722 | e08fa6606543ce0f35b93133dbb78490f8e6bcc9 | [
"MIT"
] | null | null | null | azure-mgmt-logic/azure/mgmt/logic/models/recurrence_schedule_occurrence.py | azuresdkci1x/azure-sdk-for-python-1722 | e08fa6606543ce0f35b93133dbb78490f8e6bcc9 | [
"MIT"
] | null | null | null | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes ... | 34.69697 | 76 | 0.590393 | 116 | 1,145 | 5.775862 | 0.672414 | 0.041791 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001056 | 0.172926 | 1,145 | 32 | 77 | 35.78125 | 0.706441 | 0.655022 | 0 | 0 | 0 | 0 | 0.146479 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f6bdae288edaa527af57b654eafa00cfa5047b | 11,757 | py | Python | pandas/core/apply.py | AakankshaAshok/pandas | 6498bc1e8a12003640139db4794bd5cd2462c116 | [
"BSD-3-Clause"
] | null | null | null | pandas/core/apply.py | AakankshaAshok/pandas | 6498bc1e8a12003640139db4794bd5cd2462c116 | [
"BSD-3-Clause"
] | null | null | null | pandas/core/apply.py | AakankshaAshok/pandas | 6498bc1e8a12003640139db4794bd5cd2462c116 | [
"BSD-3-Clause"
] | null | null | null | import inspect
import numpy as np
from pandas._libs import reduction as libreduction
from pandas.util._decorators import cache_readonly
from pandas.core.dtypes.common import (
is_dict_like,
is_extension_array_dtype,
is_list_like,
is_sequence,
)
from pandas.core.dtypes.generic import ABCSeries
def f... | 28.745721 | 88 | 0.575572 | 1,409 | 11,757 | 4.676366 | 0.176721 | 0.030809 | 0.027622 | 0.01548 | 0.222492 | 0.148733 | 0.108059 | 0.078009 | 0.06435 | 0.048262 | 0 | 0.003227 | 0.340988 | 11,757 | 408 | 89 | 28.816176 | 0.847186 | 0.150549 | 0 | 0.328244 | 0 | 0 | 0.025836 | 0 | 0 | 0 | 0 | 0.002451 | 0 | 1 | 0.099237 | false | 0.01145 | 0.030534 | 0.045802 | 0.28626 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f7ffc0611459c276e6f9ae99c70b7e8ba1a1c3 | 707 | py | Python | tests/test_model/test_recognizer/test_shufflenetv1.py | YinAoXiong/ZCls | 8aeea3640f8456937db35d043e37cf2c03ac9017 | [
"Apache-2.0"
] | null | null | null | tests/test_model/test_recognizer/test_shufflenetv1.py | YinAoXiong/ZCls | 8aeea3640f8456937db35d043e37cf2c03ac9017 | [
"Apache-2.0"
] | null | null | null | tests/test_model/test_recognizer/test_shufflenetv1.py | YinAoXiong/ZCls | 8aeea3640f8456937db35d043e37cf2c03ac9017 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
@date: 2021/5/16 下午10:22
@file: test_shufflenetv1.py
@author: zj
@description:
"""
import torch
from zcls.config import cfg
from zcls.config.key_word import KEY_OUTPUT
from zcls.model.recognizers.build import build_recognizer
def test_data(model):
data = torch.randn(1, 3, 224, 224)... | 19.638889 | 98 | 0.711457 | 99 | 707 | 4.828283 | 0.535354 | 0.050209 | 0.058577 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053872 | 0.15983 | 707 | 35 | 99 | 20.2 | 0.750842 | 0.144272 | 0 | 0 | 0 | 0 | 0.137353 | 0.118928 | 0 | 0 | 0 | 0 | 0.058824 | 1 | 0.117647 | false | 0 | 0.235294 | 0 | 0.352941 | 0.176471 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9f92ab910680bac296e7b003e06e2747df83ea4 | 882 | py | Python | day06/part1.py | bugra-yilmaz/adventofcode2021 | 136cb1d4fba42af4eea934a73714c93710c8741e | [
"MIT"
] | null | null | null | day06/part1.py | bugra-yilmaz/adventofcode2021 | 136cb1d4fba42af4eea934a73714c93710c8741e | [
"MIT"
] | null | null | null | day06/part1.py | bugra-yilmaz/adventofcode2021 | 136cb1d4fba42af4eea934a73714c93710c8741e | [
"MIT"
] | null | null | null | import os.path
from collections import Counter
import pytest
INPUT_TXT = os.path.join(os.path.dirname(__file__), 'input.txt')
def compute(s: str) -> int:
lines = s.splitlines()
numbers = Counter(int(f) for f in lines[0].split(","))
for d in range(80):
numbers2 = Counter({8: numbers[0], 6: numbe... | 18.765957 | 64 | 0.580499 | 123 | 882 | 4.00813 | 0.479675 | 0.060852 | 0.085193 | 0.068966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033588 | 0.25737 | 882 | 46 | 65 | 19.173913 | 0.719084 | 0 | 0 | 0 | 0 | 0 | 0.052154 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 1 | 0.09375 | false | 0 | 0.09375 | 0 | 0.25 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9fb745b63e853aa5e221b1f87db67c0723efc2d | 394 | py | Python | zmq_srv.py | iyedb/boost_asio_zeromq | 63110c18540c8303ac29d574f25cba234a00a22d | [
"MIT"
] | 4 | 2015-04-07T06:00:34.000Z | 2019-09-10T01:45:41.000Z | zmq_srv.py | iyedb/boost_asio_zeromq | 63110c18540c8303ac29d574f25cba234a00a22d | [
"MIT"
] | null | null | null | zmq_srv.py | iyedb/boost_asio_zeromq | 63110c18540c8303ac29d574f25cba234a00a22d | [
"MIT"
] | 3 | 2015-06-30T07:37:41.000Z | 2019-09-10T01:45:47.000Z | from __future__ import print_function
import zmq
import time
ADDR='tcp://127.0.0.1:11155'
ctx = zmq.Context()
srv = ctx.socket(zmq.REP)
srv.bind(ADDR)
#srv.setsockopt(zmq.RCVTIMEO, 3000);
while True:
try:
msg = srv.recv()
except Exception as e:
print('zmq socket revc timedout:', e)
else:
print('cl... | 17.130435 | 41 | 0.659898 | 62 | 394 | 4.112903 | 0.677419 | 0.047059 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050314 | 0.192893 | 394 | 22 | 42 | 17.909091 | 0.751572 | 0.088832 | 0 | 0 | 0 | 0 | 0.209497 | 0.058659 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.1875 | 0.1875 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9fdf7b2da8d5e9203d4272f61f62e3af6000e66 | 10,408 | py | Python | mypy/server/aststrip.py | mmaryada27/mypy | 39103273d705fe45a55c4879779a0d5567f01876 | [
"PSF-2.0"
] | null | null | null | mypy/server/aststrip.py | mmaryada27/mypy | 39103273d705fe45a55c4879779a0d5567f01876 | [
"PSF-2.0"
] | null | null | null | mypy/server/aststrip.py | mmaryada27/mypy | 39103273d705fe45a55c4879779a0d5567f01876 | [
"PSF-2.0"
] | null | null | null | """Strip/reset AST in-place to match state after semantic analysis pass 1.
Fine-grained incremental mode reruns semantic analysis (passes 2 and 3)
and type checking for *existing* AST nodes (targets) when changes are
propagated using fine-grained dependencies. AST nodes attributes are
often changed during semantic an... | 41.13834 | 95 | 0.662952 | 1,391 | 10,408 | 4.83537 | 0.24371 | 0.016652 | 0.019625 | 0.017841 | 0.241005 | 0.195956 | 0.163247 | 0.154326 | 0.14273 | 0.128159 | 0 | 0.002363 | 0.267967 | 10,408 | 252 | 96 | 41.301587 | 0.880431 | 0.359531 | 0 | 0.344371 | 0 | 0 | 0.00682 | 0 | 0 | 0 | 0 | 0.007937 | 0.013245 | 1 | 0.145695 | false | 0 | 0.092715 | 0 | 0.291391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
d9fe6882b9e62ad1b9764fdded272caab1b5cf79 | 9,991 | py | Python | lib/spack/spack/multimethod.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2020-09-10T22:50:08.000Z | 2021-01-12T22:18:54.000Z | lib/spack/spack/multimethod.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 17 | 2019-03-21T15:54:00.000Z | 2022-03-29T19:34:28.000Z | lib/spack/spack/multimethod.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2 | 2018-04-06T09:04:11.000Z | 2020-01-24T12:52:12.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
"""This module contains utilities for using multi-methods in
spack. You can think of multi-methods like overloaded methods... | 38.875486 | 77 | 0.651887 | 1,302 | 9,991 | 4.87404 | 0.268817 | 0.008667 | 0.007879 | 0.013237 | 0.102584 | 0.075796 | 0.058935 | 0.041286 | 0.011031 | 0.011031 | 0 | 0.005444 | 0.282955 | 9,991 | 256 | 78 | 39.027344 | 0.880374 | 0.57772 | 0 | 0.025 | 0 | 0 | 0.020088 | 0 | 0 | 0 | 0 | 0 | 0.0125 | 1 | 0.1375 | false | 0 | 0.075 | 0 | 0.3875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a00049d0a23118a6b45ced9a50bf455984aaa3c | 8,974 | py | Python | paperstream/create_diary.py | MarcoRosso/paperstream | f8d5485ea337334b036393f9566b74394b5dd234 | [
"MIT"
] | null | null | null | paperstream/create_diary.py | MarcoRosso/paperstream | f8d5485ea337334b036393f9566b74394b5dd234 | [
"MIT"
] | null | null | null | paperstream/create_diary.py | MarcoRosso/paperstream | f8d5485ea337334b036393f9566b74394b5dd234 | [
"MIT"
] | null | null | null | """
Create diaries in A5 and A4 sizes based on PDF templates.
Julio Vega
"""
import datetime
import math
import sys
from io import BytesIO
from pathlib import Path
from PyPDF2 import PdfFileReader, PdfFileWriter
from reportlab.lib.pagesizes import A5, A4
from reportlab.lib.utils import ImageReader
from reportlab.pdfb... | 33.864151 | 97 | 0.613885 | 1,121 | 8,974 | 4.723461 | 0.257806 | 0.020397 | 0.014731 | 0.014353 | 0.109726 | 0.043626 | 0.029084 | 0.016997 | 0.016997 | 0.016997 | 0 | 0.018318 | 0.20916 | 8,974 | 265 | 98 | 33.864151 | 0.727772 | 0.17651 | 0 | 0.074324 | 0 | 0 | 0.046234 | 0.008879 | 0 | 0 | 0 | 0 | 0 | 1 | 0.087838 | false | 0.006757 | 0.074324 | 0 | 0.243243 | 0.02027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a009f467895ff4a7817d2ca2bfbdacdd183cb58 | 2,459 | py | Python | wextractor/extractors/csv_extractor.py | codeforamerica/w-drive-extractor | 1c62bfff6fc21c4cce4a4409b76355ec4e07daae | [
"MIT"
] | 3 | 2015-01-14T06:27:16.000Z | 2015-02-26T23:39:39.000Z | wextractor/extractors/csv_extractor.py | codeforamerica/w-drive-extractor | 1c62bfff6fc21c4cce4a4409b76355ec4e07daae | [
"MIT"
] | 8 | 2015-01-15T17:50:30.000Z | 2015-05-12T17:09:04.000Z | wextractor/extractors/csv_extractor.py | codeforamerica/w-drive-extractor | 1c62bfff6fc21c4cce4a4409b76355ec4e07daae | [
"MIT"
] | 4 | 2015-01-14T15:20:49.000Z | 2021-04-16T10:45:22.000Z | #!/usr/bin/env python
import urllib2
import httplib
from urlparse import urlparse
import csv
from wextractor.extractors.extractor import Extractor
class CsvExtractor(Extractor):
def __init__(self, target, header=None, dtypes=None, url=None):
'''
CsvExtractor initializes with an optional url flag ... | 34.152778 | 118 | 0.604311 | 308 | 2,459 | 4.737013 | 0.467532 | 0.038382 | 0.027416 | 0.039753 | 0.031528 | 0.031528 | 0 | 0 | 0 | 0 | 0 | 0.012528 | 0.285889 | 2,459 | 71 | 119 | 34.633803 | 0.818337 | 0.220415 | 0 | 0.065217 | 0 | 0 | 0.041689 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065217 | false | 0 | 0.108696 | 0 | 0.23913 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a01b2b39f8bda22480b43b79a5034c95f31f8f0 | 9,010 | py | Python | pyscf/geomopt/berny_solver.py | r-peng/pyscf | 9a14f9bcc63bc75f5939cb4d00eb47861d8d8989 | [
"Apache-2.0"
] | 2 | 2021-06-30T22:33:35.000Z | 2021-11-22T18:02:36.000Z | pyscf/geomopt/berny_solver.py | r-peng/pyscf | 9a14f9bcc63bc75f5939cb4d00eb47861d8d8989 | [
"Apache-2.0"
] | null | null | null | pyscf/geomopt/berny_solver.py | r-peng/pyscf | 9a14f9bcc63bc75f5939cb4d00eb47861d8d8989 | [
"Apache-2.0"
] | 2 | 2021-09-16T23:37:42.000Z | 2021-10-14T23:00:39.000Z | #!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. 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
#
# U... | 34.787645 | 91 | 0.642619 | 1,204 | 9,010 | 4.687708 | 0.274917 | 0.034018 | 0.007442 | 0.007087 | 0.245571 | 0.220943 | 0.193125 | 0.167789 | 0.148476 | 0.123671 | 0 | 0.038166 | 0.249723 | 9,010 | 258 | 92 | 34.922481 | 0.796746 | 0.287569 | 0 | 0.069182 | 0 | 0 | 0.131452 | 0.014588 | 0 | 0 | 0 | 0 | 0.037736 | 1 | 0.062893 | false | 0 | 0.081761 | 0.006289 | 0.213836 | 0.012579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a01ccf4f5933cd1046863655e9835118928c6fc | 1,838 | py | Python | src/main/python/taf/foundation/api/ui/aut.py | WesleyPeng/uiXautomation | 2d2c4d5a774ffda934d5615036a80c449bac930d | [
"Apache-2.0"
] | 6 | 2017-09-19T15:05:47.000Z | 2021-07-16T16:07:46.000Z | src/main/python/taf/foundation/api/ui/aut.py | WesleyPeng/uiXautomation | 2d2c4d5a774ffda934d5615036a80c449bac930d | [
"Apache-2.0"
] | 1 | 2018-06-02T18:45:51.000Z | 2018-06-02T18:45:51.000Z | src/main/python/taf/foundation/api/ui/aut.py | WesleyPeng/uiXautomation | 2d2c4d5a774ffda934d5615036a80c449bac930d | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2017-2018 {Flair Inc.} WESLEY PENG
#
# 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 agre... | 25.887324 | 74 | 0.62568 | 220 | 1,838 | 5.154545 | 0.477273 | 0.05291 | 0.042328 | 0.028219 | 0.037037 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009238 | 0.293254 | 1,838 | 70 | 75 | 26.257143 | 0.863741 | 0.307943 | 0 | 0.119048 | 0 | 0 | 0.054054 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.02381 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a02d8606a3a24d720ef5682953d80e75a8dcabc | 1,758 | py | Python | algo/vigenere.py | dkushche/Crypto | 75919d6df2084aee1de76c9999ac4e361c4efd48 | [
"MIT"
] | 3 | 2020-05-07T22:03:48.000Z | 2021-03-11T16:36:56.000Z | algo/vigenere.py | dkushche/Crypto | 75919d6df2084aee1de76c9999ac4e361c4efd48 | [
"MIT"
] | null | null | null | algo/vigenere.py | dkushche/Crypto | 75919d6df2084aee1de76c9999ac4e361c4efd48 | [
"MIT"
] | null | null | null | import crypto_tools
from itertools import cycle
def vigenere_little_doc():
return "encrypt/decrypt using vigenere cypher"
def vigenere_full_doc():
return """
Advanced caesar we change dict on each char
"""
def vigenere_str_to_list(string, vigenere_dict):
result = list()
for char in string:... | 30.310345 | 78 | 0.660978 | 236 | 1,758 | 4.669492 | 0.326271 | 0.069873 | 0.046279 | 0.046279 | 0.137931 | 0.137931 | 0.137931 | 0.058076 | 0.058076 | 0.058076 | 0 | 0 | 0.236064 | 1,758 | 57 | 79 | 30.842105 | 0.820551 | 0 | 0 | 0 | 0 | 0 | 0.147327 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.044444 | 0.044444 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a036923cf292987a326de518f02ae1d70e60da4 | 974 | py | Python | kiwi_scp/commands/cmd_cmd.py | yavook/kiwi-scp | ca4263d913cfbdedc8b14334e3cad61c3b95f0a7 | [
"MIT"
] | null | null | null | kiwi_scp/commands/cmd_cmd.py | yavook/kiwi-scp | ca4263d913cfbdedc8b14334e3cad61c3b95f0a7 | [
"MIT"
] | null | null | null | kiwi_scp/commands/cmd_cmd.py | yavook/kiwi-scp | ca4263d913cfbdedc8b14334e3cad61c3b95f0a7 | [
"MIT"
] | null | null | null | from typing import Tuple
import click
from .cmd import KiwiCommandType, KiwiCommand
from .decorators import kiwi_command
from ..executable import COMPOSE_EXE
from ..instance import Instance
from ..project import Project
@click.argument(
"compose_args",
metavar="[ARG]...",
nargs=-1,
)
@click.argument(
... | 26.324324 | 91 | 0.708419 | 116 | 974 | 5.793103 | 0.482759 | 0.049107 | 0.059524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001267 | 0.189938 | 974 | 36 | 92 | 27.055556 | 0.850444 | 0.129363 | 0 | 0.074074 | 0 | 0 | 0.102259 | 0.026159 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.259259 | 0 | 0.407407 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a036ee66041ffdf97db3dd3911676a6d37fc888 | 4,339 | py | Python | homework/Testing with Examples (Network)/impl_fail-add_relation-does_not_fail_when_person1_is_non_existent.py | rvprasad/software-testing-course | 3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0 | [
"CC-BY-4.0"
] | 11 | 2018-02-08T05:23:28.000Z | 2021-05-24T13:23:56.000Z | homework/Testing with Examples (Network)/impl_fail-add_relation-does_not_fail_when_person1_is_non_existent.py | rvprasad/software-testing-course | 3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0 | [
"CC-BY-4.0"
] | null | null | null | homework/Testing with Examples (Network)/impl_fail-add_relation-does_not_fail_when_person1_is_non_existent.py | rvprasad/software-testing-course | 3803851dcf9f7bbd0f0b89fca6c9c5e3a48f22e0 | [
"CC-BY-4.0"
] | 2 | 2020-09-15T08:51:22.000Z | 2021-01-26T12:07:18.000Z | class MyError(Exception):
pass
class PropertyContainer(object):
def __init__(self):
self.props = {}
def set_property(self, prop, value):
self.props[prop] = value
def get_property(self, prop):
return self.props.get(prop)
def has_property(self, prop... | 34.991935 | 76 | 0.569717 | 533 | 4,339 | 4.536585 | 0.178236 | 0.022333 | 0.037221 | 0.028122 | 0.295285 | 0.24483 | 0.174938 | 0.163772 | 0.163772 | 0.163772 | 0 | 0.017662 | 0.347546 | 4,339 | 123 | 77 | 35.276423 | 0.836454 | 0.144042 | 0 | 0.202247 | 0 | 0 | 0.061418 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134831 | false | 0.022472 | 0 | 0.022472 | 0.280899 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a045d9a56c4a8715b77c0b2cd2d5ff977fa98ed | 609 | py | Python | conf/feature_config.py | pupuwudi/nlp_xiaojiang | 182ac4522b6012a52de6e1d0db7e6a47cb716e5b | [
"MIT"
] | null | null | null | conf/feature_config.py | pupuwudi/nlp_xiaojiang | 182ac4522b6012a52de6e1d0db7e6a47cb716e5b | [
"MIT"
] | null | null | null | conf/feature_config.py | pupuwudi/nlp_xiaojiang | 182ac4522b6012a52de6e1d0db7e6a47cb716e5b | [
"MIT"
] | 2 | 2021-01-18T10:07:20.000Z | 2022-01-12T10:09:47.000Z | # -*- coding: UTF-8 -*-
# !/usr/bin/python
# @time :2019/5/10 9:13
# @author :Mo
# @function :path of FeatureProject
import pathlib
import sys
import os
# base dir
projectdir = str(pathlib.Path(os.path.abspath(__file__)).parent.parent)
sys.path.append(projectdir)
# path of BERT model
model_dir... | 22.555556 | 72 | 0.689655 | 90 | 609 | 4.433333 | 0.655556 | 0.080201 | 0.06015 | 0.080201 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.047904 | 0.17734 | 609 | 26 | 73 | 23.423077 | 0.748503 | 0.284072 | 0 | 0 | 0 | 0 | 0.180451 | 0.072682 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a047a8d5dd4c7ba8745cc48738110ca5fef1d2f | 813 | py | Python | tests/test_prep_read.py | taruma/hidrokit | a96c4ba2235d58d2bbc905be44d1b413ed19b3d2 | [
"MIT"
] | 5 | 2019-07-15T13:35:52.000Z | 2020-04-01T17:34:16.000Z | tests/test_prep_read.py | taruma/hidrokit | a96c4ba2235d58d2bbc905be44d1b413ed19b3d2 | [
"MIT"
] | 107 | 2019-01-03T02:12:26.000Z | 2020-02-18T00:48:27.000Z | tests/test_prep_read.py | hidrokit/hidrokit | c8b949aa6a81981684a24e5dd1e498ec82cbe0ca | [
"MIT"
] | 2 | 2020-06-17T00:08:32.000Z | 2020-08-24T18:55:38.000Z | """Test for .prep.read module
"""
from hidrokit.prep import read
import numpy as np
import pandas as pd
A = pd.DataFrame(
data=[
[1, 3, 4, np.nan, 2, np.nan],
[np.nan, 2, 3, np.nan, 1, 4],
[2, np.nan, 1, 3, 4, np.nan]
],
columns=['A', 'B', 'C', 'D', 'E', 'F']
)
A_date = A.set_inde... | 25.40625 | 79 | 0.526445 | 133 | 813 | 3.067669 | 0.353383 | 0.073529 | 0.014706 | 0.02451 | 0.245098 | 0.112745 | 0 | 0 | 0 | 0 | 0 | 0.091195 | 0.217712 | 813 | 31 | 80 | 26.225806 | 0.550314 | 0.03198 | 0 | 0 | 0 | 0 | 0.079487 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 1 | 0.095238 | false | 0 | 0.142857 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a04b26d17a373b84c1afb19abef67f291bb970a | 9,747 | py | Python | src/train_DFCAN.py | ikecoglu/DL-SR | 5e4c794f1434cd4a9b2b1aecf3738065b11bede1 | [
"MIT"
] | 46 | 2021-01-07T03:38:07.000Z | 2022-03-24T19:11:23.000Z | src/train_DFCAN.py | ikecoglu/DL-SR | 5e4c794f1434cd4a9b2b1aecf3738065b11bede1 | [
"MIT"
] | 7 | 2021-02-06T14:23:18.000Z | 2022-02-13T04:08:45.000Z | src/train_DFCAN.py | ikecoglu/DL-SR | 5e4c794f1434cd4a9b2b1aecf3738065b11bede1 | [
"MIT"
] | 16 | 2021-01-26T16:22:49.000Z | 2022-02-26T03:21:08.000Z | import argparse
from keras import optimizers
import matplotlib.pyplot as plt
import numpy as np
import datetime
from keras.callbacks import TensorBoard
import glob
import os
import tensorflow as tf
from models import *
from utils.lr_controller import ReduceLROnPlateau
from utils.data_loader import data_loader, data_loa... | 45.125 | 109 | 0.612804 | 1,204 | 9,747 | 4.671927 | 0.181063 | 0.048889 | 0.060444 | 0.031289 | 0.276978 | 0.2544 | 0.1936 | 0.125156 | 0.090667 | 0.074667 | 0 | 0.010528 | 0.171643 | 9,747 | 215 | 110 | 45.334884 | 0.686153 | 0.144968 | 0 | 0.128655 | 0 | 0 | 0.095187 | 0.012154 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011696 | false | 0 | 0.081871 | 0 | 0.093567 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a04bef0858eef7458b1e38ddd409346a98cb2cc | 2,635 | py | Python | catalyst/exchange/live_graph_clock.py | erlendve/catalyst | 463575bc23c0abd1287f8ec81c4377baabf2b8b8 | [
"Apache-2.0"
] | null | null | null | catalyst/exchange/live_graph_clock.py | erlendve/catalyst | 463575bc23c0abd1287f8ec81c4377baabf2b8b8 | [
"Apache-2.0"
] | null | null | null | catalyst/exchange/live_graph_clock.py | erlendve/catalyst | 463575bc23c0abd1287f8ec81c4377baabf2b8b8 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
from catalyst.constants import LOG_LEVEL
from catalyst.exchange.utils.stats_utils import prepare_stats
from catalyst.gens.sim_engine import (
BAR,
SESSION_START
)
from logbook import Logger
log = Logger('LiveGraphClock', level=LOG_LEVEL)
class LiveGraphClock(object):
"""Realtime clock... | 35.133333 | 79 | 0.666414 | 343 | 2,635 | 4.970845 | 0.472303 | 0.038123 | 0.028152 | 0.019941 | 0.051613 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008831 | 0.26945 | 2,635 | 74 | 80 | 35.608108 | 0.876883 | 0.412144 | 0 | 0 | 0 | 0 | 0.029212 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.171429 | 0 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a072b60d911bf4164d6e02341054f5f6f3f27f0 | 3,479 | py | Python | nautobot_device_onboarding/tests/test_netdev_keeper.py | pszulczewski/nautobot-plugin-device-onboarding | 9ddec52d7bcc751c4616bd7c1180ed2a1d31ff2c | [
"Apache-2.0"
] | 13 | 2021-03-05T10:47:50.000Z | 2022-03-18T19:07:09.000Z | nautobot_device_onboarding/tests/test_netdev_keeper.py | pszulczewski/nautobot-plugin-device-onboarding | 9ddec52d7bcc751c4616bd7c1180ed2a1d31ff2c | [
"Apache-2.0"
] | 18 | 2021-03-05T10:29:13.000Z | 2022-03-08T13:10:38.000Z | nautobot_device_onboarding/tests/test_netdev_keeper.py | pszulczewski/nautobot-plugin-device-onboarding | 9ddec52d7bcc751c4616bd7c1180ed2a1d31ff2c | [
"Apache-2.0"
] | 14 | 2021-03-06T19:33:46.000Z | 2022-03-28T16:31:38.000Z | """Unit tests for nautobot_device_onboarding.netdev_keeper module and its classes.
(c) 2020-2021 Network To Code
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/LICE... | 44.602564 | 108 | 0.728658 | 467 | 3,479 | 5.286938 | 0.357602 | 0.036857 | 0.058323 | 0.032402 | 0.387201 | 0.334143 | 0.321993 | 0.253949 | 0.238558 | 0.238558 | 0 | 0.022456 | 0.180799 | 3,479 | 77 | 109 | 45.181818 | 0.84386 | 0.29635 | 0 | 0.108108 | 0 | 0 | 0.131263 | 0.045549 | 0 | 0 | 0 | 0 | 0.189189 | 1 | 0.081081 | false | 0 | 0.189189 | 0 | 0.297297 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a076cdd50a9d69b52cffcb8dbe3df578f17d801 | 2,577 | py | Python | superneurons/tools/img_val/main.py | Phaeton-lang/baselines | 472c248047fbb55b5fa0e620758047b7f0a1d041 | [
"MIT"
] | null | null | null | superneurons/tools/img_val/main.py | Phaeton-lang/baselines | 472c248047fbb55b5fa0e620758047b7f0a1d041 | [
"MIT"
] | null | null | null | superneurons/tools/img_val/main.py | Phaeton-lang/baselines | 472c248047fbb55b5fa0e620758047b7f0a1d041 | [
"MIT"
] | null | null | null | # Created by ay27 at 17/4/9
import os
import matplotlib.pyplot as plt
import struct
import numpy as np
def trans(row):
return list(map(lambda x: np.uint8(x), row))
def read_image(filename):
with open(filename, mode='rb') as file:
n = file.read(8)
n = struct.unpack("<Q", n)[0]
c = fi... | 28.01087 | 84 | 0.509895 | 365 | 2,577 | 3.50137 | 0.290411 | 0.075117 | 0.056338 | 0.032864 | 0.367762 | 0.312207 | 0.312207 | 0.312207 | 0.245696 | 0.189358 | 0 | 0.038376 | 0.302289 | 2,577 | 92 | 85 | 28.01087 | 0.672414 | 0.282499 | 0 | 0.339623 | 0 | 0 | 0.045927 | 0.029524 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0.075472 | 0.018868 | 0.169811 | 0.113208 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a0afacd436c5c382b382e786080775c8a2d6bf7 | 5,581 | py | Python | otp/chat/ChatInputNormal.py | P1ayerOne/src | 3a4343e29f844fe95da7d51aaee7fb680d02bf72 | [
"BSD-3-Clause"
] | null | null | null | otp/chat/ChatInputNormal.py | P1ayerOne/src | 3a4343e29f844fe95da7d51aaee7fb680d02bf72 | [
"BSD-3-Clause"
] | null | null | null | otp/chat/ChatInputNormal.py | P1ayerOne/src | 3a4343e29f844fe95da7d51aaee7fb680d02bf72 | [
"BSD-3-Clause"
] | null | null | null | from direct.showbase import DirectObject
from otp.otpbase import OTPGlobals
import sys
from direct.gui.DirectGui import *
from pandac.PandaModules import *
from otp.otpbase import OTPLocalizer
class ChatInputNormal(DirectObject.DirectObject):
ExecNamespace = None
def __init__(self, chatMgr):
self.chat... | 34.450617 | 99 | 0.583766 | 529 | 5,581 | 6.117202 | 0.245747 | 0.058714 | 0.035538 | 0.024722 | 0.304388 | 0.272868 | 0.237948 | 0.2089 | 0.182324 | 0.144623 | 0 | 0.009757 | 0.320552 | 5,581 | 161 | 100 | 34.664596 | 0.843618 | 0 | 0 | 0.398601 | 0 | 0 | 0.046407 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111888 | false | 0.006993 | 0.062937 | 0.006993 | 0.265734 | 0.027972 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a0b53a65038120d7c635ea3a3f7ba3752ca109e | 14,068 | py | Python | train_text_summarizer.py | stevaras2/bert | 1efaa300eb91dea85c40de5e1586e8d2c94b89bb | [
"Apache-2.0"
] | 1 | 2019-11-28T10:03:09.000Z | 2019-11-28T10:03:09.000Z | train_text_summarizer.py | stevaras2/bert | 1efaa300eb91dea85c40de5e1586e8d2c94b89bb | [
"Apache-2.0"
] | null | null | null | train_text_summarizer.py | stevaras2/bert | 1efaa300eb91dea85c40de5e1586e8d2c94b89bb | [
"Apache-2.0"
] | null | null | null | import argparse
import json
import numpy as np
import pandas as pd
import os
from sklearn.linear_model import LogisticRegression
from sklearn.model_selection import train_test_split
from sklearn.metrics import classification_report,f1_score
from keras.models import Sequential
from keras.layers import Dense, Dropout
fro... | 35.705584 | 151 | 0.649062 | 1,890 | 14,068 | 4.632275 | 0.12963 | 0.033923 | 0.013706 | 0.02193 | 0.710565 | 0.68578 | 0.653341 | 0.62924 | 0.583895 | 0.57076 | 0 | 0.020858 | 0.216164 | 14,068 | 393 | 152 | 35.796438 | 0.773102 | 0.201521 | 0 | 0.684015 | 0 | 0 | 0.070995 | 0.023393 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02974 | false | 0 | 0.052045 | 0 | 0.096654 | 0.152416 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a0d48bd45e2a77d4024e66ae20d64213df72227 | 1,493 | py | Python | src/test/python/apache/aurora/executor/test_status_manager.py | zmanji/incubator-aurora | 9f594f1de6bbf46c74863dd3fc4d2708b7a974f2 | [
"Apache-2.0"
] | null | null | null | src/test/python/apache/aurora/executor/test_status_manager.py | zmanji/incubator-aurora | 9f594f1de6bbf46c74863dd3fc4d2708b7a974f2 | [
"Apache-2.0"
] | null | null | null | src/test/python/apache/aurora/executor/test_status_manager.py | zmanji/incubator-aurora | 9f594f1de6bbf46c74863dd3fc4d2708b7a974f2 | [
"Apache-2.0"
] | null | null | null | #
# 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, software
# distributed under ... | 29.27451 | 74 | 0.750167 | 206 | 1,493 | 5.330097 | 0.504854 | 0.054645 | 0.035519 | 0.029144 | 0.051002 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007293 | 0.173476 | 1,493 | 50 | 75 | 29.86 | 0.882496 | 0.348962 | 0 | 0 | 0 | 0 | 0.022965 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 1 | 0.178571 | false | 0 | 0.214286 | 0 | 0.535714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8a0d98e91f0c9a170743b5f41866a399dbce8684 | 3,494 | py | Python | Supplemental/A5. Collision estimation module/Con_est.py | wangqf1997/Human-injury-based-safety-decision-of-automated-vehicles | b104fdeb3d85e867f6b04c5ae7b5a197e705aeba | [
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"CC-BY-4.0"
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"CC-BY-4.0"
] | null | null | null | '''
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This code accompanies the paper titled "Human injury-based safety decision of automated vehicles"
Author: Qingfan Wang, Qing Zhou, Miao Lin, Bingbing Nie
Corresponding author: Bingbing Nie (nbb@tsinghua.edu.cn)
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