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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
292c9626c9e04b5cf826e77da7923dbc37aaacf1 | 9,595 | py | Python | perfkitbenchmarker/linux_packages/cassandra.py | parsa-epfl/PerfKitBenchmarker | 7a7981100ebf68d6a24a8a347464800f40c47aa5 | [
"Apache-2.0"
] | 1 | 2016-12-07T19:49:58.000Z | 2016-12-07T19:49:58.000Z | perfkitbenchmarker/linux_packages/cassandra.py | parsa-epfl/PerfKitBenchmarker | 7a7981100ebf68d6a24a8a347464800f40c47aa5 | [
"Apache-2.0"
] | null | null | null | perfkitbenchmarker/linux_packages/cassandra.py | parsa-epfl/PerfKitBenchmarker | 7a7981100ebf68d6a24a8a347464800f40c47aa5 | [
"Apache-2.0"
] | 1 | 2021-12-07T13:29:48.000Z | 2021-12-07T13:29:48.000Z | # Copyright 2015 PerfKitBenchmarker 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 appli... | 31.05178 | 79 | 0.682751 |
2b56b125fcb2cd5b2bdd734923280950dbb1595e | 9,606 | py | Python | speaker_id.py | Dodger23/SincNet | bf848e88dc8d6cbeb4484e89486ec0a4ab237cb1 | [
"MIT"
] | null | null | null | speaker_id.py | Dodger23/SincNet | bf848e88dc8d6cbeb4484e89486ec0a4ab237cb1 | [
"MIT"
] | null | null | null | speaker_id.py | Dodger23/SincNet | bf848e88dc8d6cbeb4484e89486ec0a4ab237cb1 | [
"MIT"
] | null | null | null | # speaker_id.py
# Mirco Ravanelli
# Mila - University of Montreal
# July 2018
# Description:
# This code performs a speaker_id experiments with SincNet.
# How to run it:
# python speaker_id.py --cfg=cfg/SincNet_TIMIT.cfg
import os
#import scipy.io.wavfile
import soundfile as sf
import torch
import torch.nn as n... | 28.087719 | 163 | 0.706642 |
081f27c4b0326aa1f19355d021c99164785418c5 | 3,548 | py | Python | elasticquery/dsl.py | Fizzadar/ElasticQuery | b9640623fac206b93ed9f56519c99c3a35916aca | [
"MIT"
] | 86 | 2015-02-17T00:54:58.000Z | 2022-03-29T02:27:01.000Z | elasticquery/dsl.py | Fizzadar/ElasticQuery | b9640623fac206b93ed9f56519c99c3a35916aca | [
"MIT"
] | 19 | 2015-02-26T12:41:29.000Z | 2021-11-02T17:17:15.000Z | elasticquery/dsl.py | Fizzadar/ElasticQuery | b9640623fac206b93ed9f56519c99c3a35916aca | [
"MIT"
] | 24 | 2015-03-27T09:07:05.000Z | 2022-01-12T08:45:59.000Z | # ElasticQuery
# File: elasticquery/filterquery.py
# Desc: The base queryfilter/aggregate classes & metaclasses
from .dsl_util import make_struct, unroll_definitions, unroll_struct
class MetaQuery(type):
'''
Metaclass mapping attributes to dsl objects on Filter/Query getattr.
'''
def __init__(cls, n... | 23.496689 | 90 | 0.576381 |
4521f4b953f6654b4933860699a78546335dcbb1 | 2,364 | py | Python | var/spack/repos/builtin/packages/r-enrichplot/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | var/spack/repos/builtin/packages/r-enrichplot/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | var/spack/repos/builtin/packages/r-enrichplot/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # 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)
from spack import *
class REnrichplot(RPackage):
"""Visualization of Functional Enrichment Result
The 'enric... | 50.297872 | 79 | 0.642978 |
46f6bc686e621c3aec09ceffd6d3a36c56a8e6e1 | 163 | py | Python | {{cookiecutter.repo_name}}/run.py | Jswig/cookiecutter-minimal-ml | c4c4059701638f0d32c1374b9f9d98c192410cc1 | [
"MIT"
] | 1 | 2020-04-19T02:56:21.000Z | 2020-04-19T02:56:21.000Z | {{cookiecutter.repo_name}}/run.py | Jswig/cookiecutter-flexible-ml | c4c4059701638f0d32c1374b9f9d98c192410cc1 | [
"MIT"
] | 1 | 2020-05-06T02:33:16.000Z | 2020-05-09T22:56:09.000Z | {{cookiecutter.repo_name}}/run.py | Jswig/cookiecutter-minimal-ml | c4c4059701638f0d32c1374b9f9d98c192410cc1 | [
"MIT"
] | 1 | 2020-07-11T23:20:02.000Z | 2020-07-11T23:20:02.000Z | # import files from src as needed here
def build_project():
# your code to run the full analysis here
pass
if __name__ == "__main__":
build_project() | 20.375 | 45 | 0.693252 |
189b4138bbd20789f96d9fc11cf199db46108ca6 | 23 | py | Python | src/dcn_v2/__init__.py | Hzx66666/FairMOT_PS | c0b2ef18cd712ebd2512ce73672667a72a9d4f04 | [
"MIT"
] | null | null | null | src/dcn_v2/__init__.py | Hzx66666/FairMOT_PS | c0b2ef18cd712ebd2512ce73672667a72a9d4f04 | [
"MIT"
] | null | null | null | src/dcn_v2/__init__.py | Hzx66666/FairMOT_PS | c0b2ef18cd712ebd2512ce73672667a72a9d4f04 | [
"MIT"
] | null | null | null | from .dcn_v2 import DCN | 23 | 23 | 0.826087 |
0acf32e7ec9b650949edc9e869284bc7f7ef7115 | 917 | py | Python | python/runtime/pai/__init__.py | bobmayuze/sqlflow | 8e51c19eed656d506ffa9240024b8e12010cbd01 | [
"Apache-2.0"
] | null | null | null | python/runtime/pai/__init__.py | bobmayuze/sqlflow | 8e51c19eed656d506ffa9240024b8e12010cbd01 | [
"Apache-2.0"
] | null | null | null | python/runtime/pai/__init__.py | bobmayuze/sqlflow | 8e51c19eed656d506ffa9240024b8e12010cbd01 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The SQLFlow 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 law o... | 50.944444 | 82 | 0.798255 |
e84cdfb1511c7482d3a414af11ee71b116e42afa | 393 | py | Python | backend/chat_user_profile/api/v1/urls.py | crowdbotics-apps/agape-centre-29820 | 25ff06c33043baa5a8a65148e60498000f079048 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/chat_user_profile/api/v1/urls.py | crowdbotics-apps/agape-centre-29820 | 25ff06c33043baa5a8a65148e60498000f079048 | [
"FTL",
"AML",
"RSA-MD"
] | 20 | 2021-08-22T20:25:03.000Z | 2021-10-06T00:05:44.000Z | backend/chat_user_profile/api/v1/urls.py | crowdbotics-apps/kp3-29820 | 25ff06c33043baa5a8a65148e60498000f079048 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.urls import path, include
from rest_framework.routers import DefaultRouter
from .viewsets import ContactViewSet, ProfileViewSet, VerificationCodeViewSet
router = DefaultRouter()
router.register("verificationcode", VerificationCodeViewSet)
router.register("contact", ContactViewSet)
router.register("profile"... | 30.230769 | 77 | 0.80916 |
773ea18760a1527725d3b5c48b2edbee2f731fac | 1,930 | py | Python | lib/utils/visualize.py | penghouwen/CDARTS | 7dddc8d5db4ed343979ed3687c6adfc39dfce284 | [
"MIT"
] | 21 | 2020-06-19T01:05:38.000Z | 2020-08-11T02:15:03.000Z | lib/utils/visualize.py | penghouwen/CDARTS | 7dddc8d5db4ed343979ed3687c6adfc39dfce284 | [
"MIT"
] | 1 | 2020-07-11T17:01:07.000Z | 2020-07-11T17:01:07.000Z | lib/utils/visualize.py | penghouwen/CDARTS | 7dddc8d5db4ed343979ed3687c6adfc39dfce284 | [
"MIT"
] | 1 | 2020-11-02T02:43:20.000Z | 2020-11-02T02:43:20.000Z | """ Network architecture visualizer using graphviz """
import sys
from graphviz import Digraph
import lib.utils.genotypes as gt
def plot(genotype, file_path, caption=None):
""" make DAG plot and save to file_path as .png """
edge_attr = {
'fontsize': '20',
'fontname': 'times'
}
node_at... | 25.733333 | 79 | 0.549223 |
a1ad8fba8f950b892d44f12924929e267f039853 | 1,410 | py | Python | Moderate/A Pile Of Bricks/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | Moderate/A Pile Of Bricks/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | Moderate/A Pile Of Bricks/main.py | AstrorEnales/CodeEval | eae0fb471d27d3a83d544ff4a4651ed1a2076930 | [
"MIT"
] | null | null | null | import sys
def parseCoords(x):
return [int(y) for y in x.strip('[').strip(']').split(',')]
def size2(a, b):
return sorted([abs(a[0] - b[0]), abs(a[1] - b[1])])
def size3(a, b):
s = []
s.append(sorted([abs(a[0] - b[0]), abs(a[1] - b[1])]))
s.append(sorted([abs(a[0] - b[0]), abs(a[2] - b... | 37.105263 | 94 | 0.485816 |
e3bc0493daeca34c625af621a67a751ac2ab4694 | 574 | py | Python | CNN Visualization/Visualizing and Understanding Convolutional Networks/notebooks/utils.py | KushajveerSingh/pytorch_projects | ba70b662897a7483230c7e3ea04428df2a5fa3b8 | [
"MIT"
] | 19 | 2019-06-04T20:19:24.000Z | 2022-03-14T03:15:54.000Z | CNN Visualization/Visualizing and Understanding Convolutional Networks/notebooks/utils.py | KushajveerSingh/pytorch_projects | ba70b662897a7483230c7e3ea04428df2a5fa3b8 | [
"MIT"
] | null | null | null | CNN Visualization/Visualizing and Understanding Convolutional Networks/notebooks/utils.py | KushajveerSingh/pytorch_projects | ba70b662897a7483230c7e3ea04428df2a5fa3b8 | [
"MIT"
] | 12 | 2019-06-06T12:56:39.000Z | 2021-12-30T11:54:08.000Z | import json
import torch
def decode_predictions(preds, top=5):
with open('/home/kushaj/Desktop/Data/imagenet_class_index.json') as f:
class_index_dict = json.load(f)
results = []
for pred in preds:
top_value, top_indices = torch.topk(pred, top)
result = [tuple(class_index_d... | 33.764706 | 78 | 0.61324 |
4edf42b518c8f4492b07b5cf2b53e4ce44588287 | 11,524 | py | Python | statsmodels/genmod/tests/test_bayes_mixed_glm.py | josef-pkt/statsmodels | 9eebbfa000b9f7ca853247efbced99f4ddaa088c | [
"BSD-3-Clause"
] | 20 | 2015-01-28T21:52:59.000Z | 2022-01-24T01:24:26.000Z | statsmodels/genmod/tests/test_bayes_mixed_glm.py | josef-pkt/statsmodels | 9eebbfa000b9f7ca853247efbced99f4ddaa088c | [
"BSD-3-Clause"
] | 6 | 2015-08-28T16:59:03.000Z | 2019-04-12T22:29:01.000Z | statsmodels/genmod/tests/test_bayes_mixed_glm.py | josef-pkt/statsmodels | 9eebbfa000b9f7ca853247efbced99f4ddaa088c | [
"BSD-3-Clause"
] | 28 | 2015-04-01T20:02:25.000Z | 2021-07-03T00:09:28.000Z | import numpy as np
from statsmodels.genmod.bayes_mixed_glm import (
BinomialBayesMixedGLM, PoissonBayesMixedGLM)
import pandas as pd
from scipy import sparse
from numpy.testing import assert_allclose
from scipy.optimize import approx_fprime
def gen_simple_logit(nc, cs, s):
np.random.seed(3799)
exog_vc =... | 30.486772 | 76 | 0.559788 |
3abd19a46e6e61e5fd3033d66e7030cfb719dea6 | 28,496 | py | Python | sympy/stats/tests/test_stochastic_process.py | rahulmnair1997/sympy | 04c784908573c8524e98fa258b784cdd64df210f | [
"BSD-3-Clause"
] | 1 | 2021-11-16T14:29:20.000Z | 2021-11-16T14:29:20.000Z | sympy/stats/tests/test_stochastic_process.py | Sanchayan-Bhowal/sympy | c237fe7f4c1a4abcfaef0e79600e26cba4ac0a6d | [
"BSD-3-Clause"
] | null | null | null | sympy/stats/tests/test_stochastic_process.py | Sanchayan-Bhowal/sympy | c237fe7f4c1a4abcfaef0e79600e26cba4ac0a6d | [
"BSD-3-Clause"
] | null | null | null | from sympy import (S, symbols, FiniteSet, Eq, Matrix, MatrixSymbol, Float, And,
ImmutableMatrix, Ne, Lt, Gt, exp, Not, Rational, Lambda, erf,
Piecewise, factorial, Interval, oo, Contains, sqrt, pi, ceiling,
gamma, lowergamma, Sum, Range, Tuple, ImmutableDenseMatr... | 51.344144 | 163 | 0.556113 |
efd1ffbc376c999f7eea6718dccbf15c2807af3c | 10,514 | py | Python | chromanode.py | killerstorm/ngcccbase | 30fd033835ceeecd0eafc3461bf5b4dcfff117de | [
"MIT"
] | 31 | 2015-01-25T01:59:07.000Z | 2022-03-11T02:49:53.000Z | chromanode.py | killerstorm/ngcccbase | 30fd033835ceeecd0eafc3461bf5b4dcfff117de | [
"MIT"
] | 5 | 2015-06-16T14:43:49.000Z | 2016-07-19T12:49:16.000Z | chromanode.py | jeorgen/ngcccbase | 0a7348d95353598a320e5612166402ba676c8d33 | [
"MIT"
] | 17 | 2015-02-14T15:19:49.000Z | 2019-11-28T19:17:50.000Z | #!/usr/bin/env python
import os, sys
import json
import hashlib
import httplib
import threading, time
from socket import error as SocketError
from bitcoin.rpc import JSONRPCException
import web
from coloredcoinlib import BlockchainState, ColorDefinition
urls = (
'/tx', 'Tx',
'/publish_tx', 'PublishTx',
... | 33.807074 | 101 | 0.573045 |
9446bb0db5c987a15f2712cfb098cfc172269636 | 6,063 | py | Python | smt/applications/tests/test_mfkplsk.py | Laurentww/smt | f124c01ffa78c04b80221dded278a20123dac742 | [
"BSD-3-Clause"
] | 354 | 2017-08-15T22:12:58.000Z | 2022-03-31T08:34:19.000Z | smt/applications/tests/test_mfkplsk.py | enjoyneer87/smt | 4a4df255b9259965439120091007f9852f41523e | [
"BSD-3-Clause"
] | 258 | 2017-08-11T15:08:40.000Z | 2022-03-30T09:54:26.000Z | smt/applications/tests/test_mfkplsk.py | enjoyneer87/smt | 4a4df255b9259965439120091007f9852f41523e | [
"BSD-3-Clause"
] | 184 | 2017-08-11T14:55:17.000Z | 2022-03-17T11:22:50.000Z | # -*- coding: utf-8 -*-
"""
Created on Mon May 07 14:20:11 2018
@author: m.meliani
Adapted to new SMT version in march 2020 by Nathalie Bartoli
"""
import matplotlib
matplotlib.use("Agg")
import unittest
import numpy as np
import unittest
import inspect
from collections import OrderedDict
from smt.problems impor... | 27.684932 | 84 | 0.55616 |
4c8712d3391ca9e50a19cee9ad195dc17b750552 | 650 | py | Python | imdb/items.py | LeeCrazy/scrapy-imdb | 31094ea42731b4f8b6d3fb0fb9040b25396d28b7 | [
"Apache-2.0"
] | 10 | 2016-12-27T14:47:44.000Z | 2019-12-30T11:19:27.000Z | imdb/items.py | ejibo/imdbspider | b60c393cc791524e2d78d9811cd32a07757ed778 | [
"Apache-2.0"
] | null | null | null | imdb/items.py | ejibo/imdbspider | b60c393cc791524e2d78d9811cd32a07757ed778 | [
"Apache-2.0"
] | 6 | 2017-04-18T06:52:41.000Z | 2019-04-13T13:22:11.000Z | # -*- coding: utf-8 -*-
# Define here the models for your scraped items
#
# See documentation in:
# http://doc.scrapy.org/en/latest/topics/items.html
from scrapy import Field, Item
class ImdbItem(Item):
# define the fields for your item here like:
video_title = Field()
video_rating = Field()
video_n... | 23.214286 | 51 | 0.653846 |
eb75599eb0d843504deadb6dfde802dcb8eaa28f | 11,264 | py | Python | src/pyoram/storage/block_storage_ram.py | ghackebeil/PyORAM | 53e109dfb1ecec52348a70ddc64fae65eea7490a | [
"MIT"
] | 24 | 2016-04-14T14:27:37.000Z | 2022-03-13T13:53:18.000Z | src/pyoram/storage/block_storage_ram.py | ghackebeil/PyORAM | 53e109dfb1ecec52348a70ddc64fae65eea7490a | [
"MIT"
] | 4 | 2016-03-14T04:40:23.000Z | 2016-06-01T04:37:18.000Z | src/pyoram/storage/block_storage_ram.py | ghackebeil/PyORAM | 53e109dfb1ecec52348a70ddc64fae65eea7490a | [
"MIT"
] | 4 | 2016-03-16T23:53:24.000Z | 2020-05-27T19:27:37.000Z | __all__ = ('BlockStorageRAM',)
import os
import struct
import logging
import errno
from multiprocessing.pool import ThreadPool
import pyoram
from pyoram.storage.block_storage import \
(BlockStorageInterface,
BlockStorageTypeFactory)
from pyoram.storage.block_storage_mmap import \
(BlockStorageMMap,
... | 35.75873 | 80 | 0.568182 |
664e0b58e3c2ac302dfc83de36d1e571a5e4bd3b | 2,471 | py | Python | setup.py | syscocloud/puppetboard | 94052a0330b1e73963504a2a2fff9dbab52b2a87 | [
"Apache-2.0"
] | null | null | null | setup.py | syscocloud/puppetboard | 94052a0330b1e73963504a2a2fff9dbab52b2a87 | [
"Apache-2.0"
] | null | null | null | setup.py | syscocloud/puppetboard | 94052a0330b1e73963504a2a2fff9dbab52b2a87 | [
"Apache-2.0"
] | null | null | null | import sys
import codecs
from setuptools.command.test import test as TestCommand
from setuptools import setup, find_packages
from puppetboard.version import __version__
with codecs.open('README.md', encoding='utf-8') as f:
README = f.read()
with codecs.open('CHANGELOG.md', encoding='utf-8') as f:
CHANGELOG =... | 32.513158 | 74 | 0.654391 |
1ae57b4ca2b8267cf20b89a3d439c1e2a2cdfcea | 8,870 | py | Python | contrib/devtools/symbol-check.py | robbelouwet/Elixir | 609412402c5dd4fb9d77ae6d87505d8efd608132 | [
"MIT"
] | null | null | null | contrib/devtools/symbol-check.py | robbelouwet/Elixir | 609412402c5dd4fb9d77ae6d87505d8efd608132 | [
"MIT"
] | null | null | null | contrib/devtools/symbol-check.py | robbelouwet/Elixir | 609412402c5dd4fb9d77ae6d87505d8efd608132 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014 Wladimir J. van der Laan
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
'''
A script to check that the executables produced by gitian only contain
certain symbols and are only linked aga... | 32.851852 | 154 | 0.666404 |
5fe2c0c567b4b17bb3a6765a147b357e4bb37551 | 1,827 | py | Python | landingpages/migrations/0001_initial.py | R3v1L/django-landingpages | a4a028337be0d3fbdfa3e62ec35cd9c79bce87ef | [
"MIT"
] | null | null | null | landingpages/migrations/0001_initial.py | R3v1L/django-landingpages | a4a028337be0d3fbdfa3e62ec35cd9c79bce87ef | [
"MIT"
] | null | null | null | landingpages/migrations/0001_initial.py | R3v1L/django-landingpages | a4a028337be0d3fbdfa3e62ec35cd9c79bce87ef | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import sitetools.models.fields
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='LandingPage',
fields=[
... | 53.735294 | 207 | 0.634921 |
7647d9bcd10dceef30b546a53ed49360a462cdbb | 94,142 | py | Python | hrpro/custom.py | hereabdulla/hrpro | 5ee5db9182a8152fd23140e6490dc995b0aef743 | [
"MIT"
] | null | null | null | hrpro/custom.py | hereabdulla/hrpro | 5ee5db9182a8152fd23140e6490dc995b0aef743 | [
"MIT"
] | null | null | null | hrpro/custom.py | hereabdulla/hrpro | 5ee5db9182a8152fd23140e6490dc995b0aef743 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2017, VHRS and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe,os,base64
import requests
import datetime
import json,calendar
from datetime import datetime,timedelta,date,time
import datetime as dt
from datetim... | 45.833496 | 264 | 0.538548 |
3be1b257ed049b89648aee83c0dec50c88e59eb8 | 2,770 | py | Python | flask-nlp-api/client.py | dr-jgsmith/flask-nlp-api | bc47594a0b200271ff71d1637ae76338d3b3912c | [
"MIT"
] | 1 | 2019-06-14T06:36:24.000Z | 2019-06-14T06:36:24.000Z | flask-nlp-api/client.py | dr-jgsmith/flask-nlp-api | bc47594a0b200271ff71d1637ae76338d3b3912c | [
"MIT"
] | null | null | null | flask-nlp-api/client.py | dr-jgsmith/flask-nlp-api | bc47594a0b200271ff71d1637ae76338d3b3912c | [
"MIT"
] | null | null | null | from requests import put, get, post, delete
data = {
'username': 'Peter2Face',
'email': 'Peter2Face@live.com',
'password_hash': 'I2Peter2Face'
}
data2 = {
'username': 'Peter2Face',
'password_hash': 'I2Peter2Face'
}
x = post('http://localhost:5000/modern_api/users/add', data=data).json()
print(x... | 25.412844 | 120 | 0.65343 |
d7d0fc0b86820f14f5ec9e2bf269901f63926cac | 555 | py | Python | exercices-pin-raspberry/Dection Temperature/temp.py | Elitross/Ecole-raspberrypi | 5897217550194516014562e76df8a28b2aa83480 | [
"MIT"
] | null | null | null | exercices-pin-raspberry/Dection Temperature/temp.py | Elitross/Ecole-raspberrypi | 5897217550194516014562e76df8a28b2aa83480 | [
"MIT"
] | null | null | null | exercices-pin-raspberry/Dection Temperature/temp.py | Elitross/Ecole-raspberrypi | 5897217550194516014562e76df8a28b2aa83480 | [
"MIT"
] | null | null | null | from gpiozero import CPUTemperature
from time import sleep, strftime, time
import matplotlib.pyplot as plt
plt.ion()
x = []
y = []
cpu = CPUTemperature()
with open("/home/pi/repo/exercice-temperature-raspberrypi/cpu_temp.csv", "a") as log:
while True:
temp = cpu.temperature
print(temp)
"""
... | 17.903226 | 85 | 0.598198 |
39b76150ad9acca5ac05fb03d132f742a8e1a45c | 2,182 | py | Python | hamper/cli.py | ecnahc515/hamper | c344f17caca40ebf830bb46682ff5477d33a4f0e | [
"MIT"
] | 2 | 2021-11-08T09:59:46.000Z | 2022-01-23T23:30:26.000Z | hamper/cli.py | ecnahc515/hamper | c344f17caca40ebf830bb46682ff5477d33a4f0e | [
"MIT"
] | 3 | 2015-02-22T03:52:17.000Z | 2016-08-18T18:32:49.000Z | hamper/cli.py | ecnahc515/hamper | c344f17caca40ebf830bb46682ff5477d33a4f0e | [
"MIT"
] | 12 | 2015-01-25T22:22:25.000Z | 2022-01-17T22:04:30.000Z | from fnmatch import fnmatch
from twisted.internet import reactor
from twisted.internet.stdio import StandardIO
from twisted.protocols.basic import LineReceiver
from twisted.plugin import getPlugins
import sqlalchemy
from sqlalchemy import orm
from hamper.commander import DB, PluginLoader
import hamper.config
from ha... | 26.609756 | 74 | 0.621907 |
26ff0f2ed531b20a7bab8ded1b477617b3af25e6 | 1,211 | py | Python | calc_repu/getMovieGrade.py | CSC522-Data-mining-NCSU/reputation-hpc | 532a9885107f2969715a6d5a5ee1a9acc8f93aac | [
"MIT"
] | null | null | null | calc_repu/getMovieGrade.py | CSC522-Data-mining-NCSU/reputation-hpc | 532a9885107f2969715a6d5a5ee1a9acc8f93aac | [
"MIT"
] | null | null | null | calc_repu/getMovieGrade.py | CSC522-Data-mining-NCSU/reputation-hpc | 532a9885107f2969715a6d5a5ee1a9acc8f93aac | [
"MIT"
] | null | null | null | import csv
import pickle
from WeightFinder import WeightFinder
import time
from mpi4py import MPI
import pickle
from demos import cmd
comm = MPI.COMM_WORLD
rank = comm.Get_rank()
finder = WeightFinder()
def get_movie_grade(movie_id):
try:
f = open('../training_set/mv_'+str(movie_id).zfill(7)+'.txt','r')
except: r... | 20.525424 | 67 | 0.649876 |
e9e3e0318c524d9c70e643ea0008dfbf775084c3 | 8,952 | py | Python | nova/tests/unit/api/openstack/compute/test_image_size.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/api/openstack/compute/test_image_size.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/tests/unit/api/openstack/compute/test_image_size.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright 2013 Rackspace Hosting'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
comme... | 12.398892 | 88 | 0.587913 |
d1fffe52766a1dbab3d0157fa1e3e3d2aab3be6d | 2,360 | py | Python | 2020/day08.py | groselt/AoC | c32d8bafddbe00c03d6420fc62cc5e78cbb1cd3c | [
"MIT"
] | null | null | null | 2020/day08.py | groselt/AoC | c32d8bafddbe00c03d6420fc62cc5e78cbb1cd3c | [
"MIT"
] | null | null | null | 2020/day08.py | groselt/AoC | c32d8bafddbe00c03d6420fc62cc5e78cbb1cd3c | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
from typing import List, NamedTuple, Optional, Set
from utils import get_file_lines
class Instruction(NamedTuple):
operation: str
param: int
class Computer:
def __init__(self, program: List[str]):
self.instructions = self.parse(program)
self.reset()
@static... | 30.649351 | 91 | 0.649576 |
34950a7cd3d485d48c7e52033cd9d266128dddfa | 4,614 | py | Python | tests/test_pipeline/components/feature_preprocessing/test_select_rates_classification.py | jianzhnie/AutoTabular | fb407300adf97532a26d33f7442d2a606fa30512 | [
"Apache-2.0"
] | 48 | 2021-09-06T08:09:26.000Z | 2022-03-28T13:02:54.000Z | tests/test_pipeline/components/feature_preprocessing/test_select_rates_classification.py | Fanxingye/Autotabular | d630c78290a52f8c73885afb16884e18135c34f6 | [
"Apache-2.0"
] | null | null | null | tests/test_pipeline/components/feature_preprocessing/test_select_rates_classification.py | Fanxingye/Autotabular | d630c78290a52f8c73885afb16884e18135c34f6 | [
"Apache-2.0"
] | 7 | 2021-09-23T07:28:46.000Z | 2021-10-02T21:15:18.000Z | import unittest
import numpy as np
import scipy.sparse
import sklearn.preprocessing
from autotabular.pipeline.components.feature_preprocessing.select_rates_classification import SelectClassificationRates
from autotabular.pipeline.util import _test_preprocessing, get_dataset
class SelectClassificationRatesComponentTe... | 41.567568 | 119 | 0.675769 |
485873f66a966166d74941b4717772e0c5d2adf8 | 9,312 | py | Python | util/dvsim/verixcdc-report-parser.py | asb/opentitan | af68ff5041b10c81e97adc075a4d042f8ac7ab20 | [
"Apache-2.0"
] | 1,375 | 2019-11-05T15:11:00.000Z | 2022-03-28T17:50:43.000Z | util/dvsim/verixcdc-report-parser.py | asb/opentitan | af68ff5041b10c81e97adc075a4d042f8ac7ab20 | [
"Apache-2.0"
] | 7,045 | 2019-11-05T16:05:45.000Z | 2022-03-31T23:08:08.000Z | util/dvsim/verixcdc-report-parser.py | asb/opentitan | af68ff5041b10c81e97adc075a4d042f8ac7ab20 | [
"Apache-2.0"
] | 428 | 2019-11-05T15:00:20.000Z | 2022-03-28T15:34:57.000Z | #!/usr/bin/env python3
# Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
r"""Parses cdc report and dump filtered messages in hjson format.
"""
import argparse
import logging as log
import re
import sys
import os
import hjso... | 37.548387 | 87 | 0.536082 |
a6034574bce65b9336f08e8d3cb79ad93ad23346 | 5,979 | py | Python | cloudvolume/dask.py | perlman/cloud-volume | e3c01f69e6519f0c53d13d39e7a42bb38d63a936 | [
"BSD-3-Clause"
] | 1 | 2021-02-12T12:15:33.000Z | 2021-02-12T12:15:33.000Z | cloudvolume/dask.py | perlman/cloud-volume | e3c01f69e6519f0c53d13d39e7a42bb38d63a936 | [
"BSD-3-Clause"
] | null | null | null | cloudvolume/dask.py | perlman/cloud-volume | e3c01f69e6519f0c53d13d39e7a42bb38d63a936 | [
"BSD-3-Clause"
] | null | null | null | """Utilties for translating to/from dask arrays.
NOTE: Using the thread-based dask scheduler is very inefficient with
CloudVolume because CV is pure python and will cause substantial
GIL contention between the dask worker threads. It is HIGHLY
ADVISABLE to use a distributed process scheduler with on... | 36.907407 | 94 | 0.645091 |
aa2db790fa4093be1213dbef5fff9ffa70737e3c | 330 | py | Python | ThreeBotPackages/zerobot/admin/actors/pools.py | threefoldtech/jumpscaleX_threebot | 2841e1109abf1bee113b027a7e04bfbd25cbcb48 | [
"Apache-2.0"
] | null | null | null | ThreeBotPackages/zerobot/admin/actors/pools.py | threefoldtech/jumpscaleX_threebot | 2841e1109abf1bee113b027a7e04bfbd25cbcb48 | [
"Apache-2.0"
] | 546 | 2019-08-29T11:48:19.000Z | 2020-12-06T07:20:45.000Z | ThreeBotPackages/zerobot/admin/actors/pools.py | threefoldtech/jumpscaleX_threebot | 2841e1109abf1bee113b027a7e04bfbd25cbcb48 | [
"Apache-2.0"
] | 5 | 2019-09-26T14:03:05.000Z | 2020-04-16T08:47:10.000Z | from Jumpscale import j
class pools(j.baseclasses.threebot_actor):
@j.baseclasses.actor_method
def list_pools(self, schema_out=None, user_session=None):
ret_pools = []
for pool in j.sal.zosv2.pools.list():
ret_pools.append(pool._ddict)
return j.data.serializers.json.dumps(r... | 30 | 61 | 0.690909 |
ec8520615ec50d0a8e90cf010c19c98e10f0b30c | 3,984 | py | Python | alipay/aop/api/request/AlipayMerchantOrderCreateandpayRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/request/AlipayMerchantOrderCreateandpayRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/request/AlipayMerchantOrderCreateandpayRequest.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.FileItem import FileItem
from alipay.aop.api.constant.ParamConstants import *
from alipay.aop.api.domain.AlipayMerchantOrderCreateandpayModel import AlipayMerchantOrderCreateandpayModel
class AlipayMerchantOrderCreateandpayRequest(object... | 27.475862 | 148 | 0.646084 |
c64ccac34170437164289971b61d3c2277663f4d | 354 | py | Python | lib/steps/SetEnvVar.py | lastcolour/Tacos | fe2b65250bfa74613151ae2dc6a91eb30f254844 | [
"MIT"
] | null | null | null | lib/steps/SetEnvVar.py | lastcolour/Tacos | fe2b65250bfa74613151ae2dc6a91eb30f254844 | [
"MIT"
] | null | null | null | lib/steps/SetEnvVar.py | lastcolour/Tacos | fe2b65250bfa74613151ae2dc6a91eb30f254844 | [
"MIT"
] | null | null | null | from .Step import Step
import os
class SetEnvVar(Step):
def __init__(self):
Step.__init__(self)
self._vars = {}
def serialize(self, jsonNode):
for key in jsonNode:
self._vars[str(key)] = str(jsonNode[key])
def run(self):
for key, var in self._vars.items():... | 22.125 | 53 | 0.573446 |
585c08b0574465d82b9880d21cb365fa277febe0 | 509 | py | Python | lambda_handlers/validators/http/http_validator.py | renovate-tests/lambda-handlers | 0b14013f19b597524a8d50f7ea8813ee726c584c | [
"Apache-2.0"
] | null | null | null | lambda_handlers/validators/http/http_validator.py | renovate-tests/lambda-handlers | 0b14013f19b597524a8d50f7ea8813ee726c584c | [
"Apache-2.0"
] | null | null | null | lambda_handlers/validators/http/http_validator.py | renovate-tests/lambda-handlers | 0b14013f19b597524a8d50f7ea8813ee726c584c | [
"Apache-2.0"
] | null | null | null | from typing import Any, Dict
from lambda_handlers.validators.validator import Validator
class HttpValidator(Validator):
def __init__(self, path=None, query=None, body=None, request=None, response=None):
super().__init__(input_schema=request, output_schema=response)
self._schemas = {
... | 26.789474 | 86 | 0.654224 |
b4b79fa5ca7d81074c658c7ce14e51cbe93a7089 | 189 | py | Python | Images/From_2D_to_3D/sweep.py | RubenRubens/Montys-CAD | 3c59b1a8b01f66f61cce4bf8be735d63fd79bcef | [
"Apache-2.0"
] | 2 | 2020-06-06T22:16:36.000Z | 2020-08-10T11:24:25.000Z | Images/From_2D_to_3D/sweep.py | RubenRubens/SolidMonty | 3c59b1a8b01f66f61cce4bf8be735d63fd79bcef | [
"Apache-2.0"
] | null | null | null | Images/From_2D_to_3D/sweep.py | RubenRubens/SolidMonty | 3c59b1a8b01f66f61cce4bf8be735d63fd79bcef | [
"Apache-2.0"
] | null | null | null | from SolidMonty_FreeCAD import *
A = rotate("Y", angle = 90) (circle(10))
path = spline(points = [[0, 0], [30, 50], [40, 59]], closed = False)
F = sweep(A, path)
export(name="sweep") (F) | 23.625 | 68 | 0.608466 |
e1da72d5be0e3ad5c43a1630257e9ead86883011 | 2,095 | py | Python | text/keras_detectE_invoice.py | kingemma/invoice | b381ffcd4b798434ea74cb4463eb5cff276ded3a | [
"MIT"
] | 1,017 | 2019-08-02T04:18:35.000Z | 2022-03-29T08:18:03.000Z | text/keras_detectE_invoice.py | kingemma/invoice | b381ffcd4b798434ea74cb4463eb5cff276ded3a | [
"MIT"
] | 47 | 2019-08-08T08:36:48.000Z | 2022-03-08T07:00:29.000Z | text/keras_detectE_invoice.py | kingemma/invoice | b381ffcd4b798434ea74cb4463eb5cff276ded3a | [
"MIT"
] | 300 | 2019-08-03T03:06:30.000Z | 2022-03-31T02:20:11.000Z | from config import kerasTextEModel_invoice,IMGSIZE,keras_anchors,class_names,GPU,GPUID
from text.keras_yolo3 import yolo_text,box_layer,K
from apphelper.image import resize_im,letterbox_image
from PIL import Image
import numpy as np
import tensorflow as tf
graph = tf.get_default_graph()##解决web.py 相关报错问题
anchors = [fl... | 30.808824 | 87 | 0.622912 |
71dfd93d3a87810260b0717c7bd3489e6a853dd3 | 1,098 | py | Python | src/third_party/wiredtiger/dist/java_doc.py | danx0r/mongo | 70d4944c235bcdf7fbbc63971099563d2af72956 | [
"Apache-2.0"
] | 72 | 2020-06-12T06:33:41.000Z | 2021-03-22T03:15:56.000Z | src/third_party/wiredtiger/dist/java_doc.py | danx0r/mongo | 70d4944c235bcdf7fbbc63971099563d2af72956 | [
"Apache-2.0"
] | 9 | 2020-07-02T09:36:49.000Z | 2021-03-25T23:54:00.000Z | src/third_party/wiredtiger/dist/java_doc.py | danx0r/mongo | 70d4944c235bcdf7fbbc63971099563d2af72956 | [
"Apache-2.0"
] | 23 | 2017-01-22T03:35:26.000Z | 2021-12-16T11:17:39.000Z | #!/usr/bin/env python
# This program pulls the function names from wiredtiger.in and generates
# an input file for Java SWIG that adds doxygen copydoc comments to functions.
import os, re, sys
import api_data
from dist import compare_srcfile
# Temporary file.
tmp_file = '__tmp'
#####################################... | 24.954545 | 78 | 0.562842 |
794f581387e59c130c0476e0f8f180cbae813724 | 2,351 | py | Python | patterns.py | IvanBrasilico/cli_talker | 9932196e414e7875da592851a761e3f7a47550f6 | [
"MIT"
] | null | null | null | patterns.py | IvanBrasilico/cli_talker | 9932196e414e7875da592851a761e3f7a47550f6 | [
"MIT"
] | 1 | 2021-06-01T21:56:20.000Z | 2021-06-01T21:56:20.000Z | patterns.py | IvanBrasilico/cli_talker | 9932196e414e7875da592851a761e3f7a47550f6 | [
"MIT"
] | null | null | null | '''Configuration of the routes, or vocabulary of the bot'''
from botteryapp import ch, ih
from bottery.conf.patterns import Pattern, DefaultPattern
from bottery.views import pong
from cli_talker.views import (flask_restless_view, help_text,
say_help, tec_view)
from sql_alchemy_view.views i... | 30.532468 | 74 | 0.72097 |
da879c91a5473a23d4134151f19c4cc0a11e1d79 | 11,698 | py | Python | acq4/devices/MicroManagerStage/mmstage.py | aleonlein/acq4 | 4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555 | [
"MIT"
] | 1 | 2020-06-04T17:04:53.000Z | 2020-06-04T17:04:53.000Z | acq4/devices/MicroManagerStage/mmstage.py | aleonlein/acq4 | 4b1fcb9ad2c5e8d4595a2b9cf99d50ece0c0f555 | [
"MIT"
] | 24 | 2016-09-27T17:25:24.000Z | 2017-03-02T21:00:11.000Z | acq4/devices/MicroManagerStage/mmstage.py | sensapex/acq4 | 9561ba73caff42c609bd02270527858433862ad8 | [
"MIT"
] | 4 | 2016-10-19T06:39:36.000Z | 2019-09-30T21:06:45.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function
import time
import numpy as np
from acq4.util import Qt
from ..Stage import Stage, MoveFuture, StageInterface
from acq4.util.Mutex import Mutex
from acq4.util.Thread import Thread
from acq4.pyqtgraph import debug, ptime, SpinBox
from acq4.util.micromanager i... | 35.883436 | 141 | 0.565481 |
629621bf0b1be6f53e8d6c0c3619070bc3e8b8b1 | 256 | py | Python | module2-sql-for-analysis/DS8_example.py | CurtCalledBurt/DS-Unit-3-Sprint-2-SQL-and-Databases | 132e6355b8175667eff3fd5fc89f075086afadd3 | [
"MIT"
] | null | null | null | module2-sql-for-analysis/DS8_example.py | CurtCalledBurt/DS-Unit-3-Sprint-2-SQL-and-Databases | 132e6355b8175667eff3fd5fc89f075086afadd3 | [
"MIT"
] | null | null | null | module2-sql-for-analysis/DS8_example.py | CurtCalledBurt/DS-Unit-3-Sprint-2-SQL-and-Databases | 132e6355b8175667eff3fd5fc89f075086afadd3 | [
"MIT"
] | null | null | null | def increment(x):
return x + 1
def double(x):
return x * 2
def run_twice(func, arg):
return func(func(arg))
def rec_print(n):
print(n)
if n > 0:
rec_print(n-1)
def add(x,y):
return x + y
def identity(x):
return x
| 12.190476 | 26 | 0.5625 |
5d76c124236344f2a9b280e1dbdecfa010b62c45 | 309 | py | Python | atividade1/questao3.py | AbraaoHonorio/PDI | 96cc0839c38b1b13989eca762f98c472ac11ed00 | [
"MIT"
] | 2 | 2018-07-05T00:46:21.000Z | 2018-07-09T15:14:57.000Z | atividade1/questao3.py | AbraaoHonorio/PDI | 96cc0839c38b1b13989eca762f98c472ac11ed00 | [
"MIT"
] | null | null | null | atividade1/questao3.py | AbraaoHonorio/PDI | 96cc0839c38b1b13989eca762f98c472ac11ed00 | [
"MIT"
] | null | null | null | from util import *
def questao3(originalImage):
'''
Coloca a imagem em modo negativo
Parametros:
originalImage: Imagem a ser modificada
'''
imageResult = None
imageResult = applyToAllPixels(originalImage, {'fun': negative})
return imageResult
def negative(b,g,r):
return [255-b,255-g,255-r] | 17.166667 | 65 | 0.721683 |
34adbb64f7dae554d1a418394748e5b4d07a87ba | 2,456 | py | Python | closed/Intel/code/resnet50/pytorch-cpu/Backend.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 12 | 2021-09-23T08:05:57.000Z | 2022-03-21T03:52:11.000Z | closed/Intel/code/resnet50/pytorch-cpu/Backend.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 11 | 2021-09-23T20:34:06.000Z | 2022-01-22T07:58:02.000Z | closed/Intel/code/resnet50/pytorch-cpu/Backend.py | ctuning/inference_results_v1.1 | d9176eca28fcf6d7a05ccb97994362a76a1eb5ab | [
"Apache-2.0"
] | 16 | 2021-09-23T20:26:38.000Z | 2022-03-09T12:59:56.000Z | import logging
import os
import sys
logging.basicConfig(level=logging.INFO)
log = logging.getLogger("BACKEND")
from baseBackend import baseBackend
"""
Resnet50 Pytorch SUT class
"""
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import... | 32.315789 | 113 | 0.651873 |
c13fd4817ab16a266af1405b3f99ff454184c3db | 4,377 | py | Python | src/interpret.py | kundajelab/retina-models | bd458c65f5917f5dccb87f123e9be672472bd4b6 | [
"MIT"
] | null | null | null | src/interpret.py | kundajelab/retina-models | bd458c65f5917f5dccb87f123e9be672472bd4b6 | [
"MIT"
] | null | null | null | src/interpret.py | kundajelab/retina-models | bd458c65f5917f5dccb87f123e9be672472bd4b6 | [
"MIT"
] | null | null | null | import deepdish as dd
import json
import numpy as np
import tensorflow as tf
import pandas as pd
import shap
from tensorflow import keras
import pyfaidx
import shutil
import errno
import os
from utils import argmanager, data_utils
from utils.loss import multinomial_nll
from utils.shap_utils import *
# disable eager ex... | 35.585366 | 109 | 0.693626 |
db633717e976db8c4b0800094472ffb4a1022d92 | 11,052 | py | Python | code/pretrain_DAMSM.py | s-52/AttnGAN | 66a33bf20deb419fb2e91ea15d32aaff36558b44 | [
"MIT"
] | null | null | null | code/pretrain_DAMSM.py | s-52/AttnGAN | 66a33bf20deb419fb2e91ea15d32aaff36558b44 | [
"MIT"
] | null | null | null | code/pretrain_DAMSM.py | s-52/AttnGAN | 66a33bf20deb419fb2e91ea15d32aaff36558b44 | [
"MIT"
] | 1 | 2022-02-24T20:24:40.000Z | 2022-02-24T20:24:40.000Z | from __future__ import print_function
from miscc.utils import mkdir_p
from miscc.utils import build_super_images
from miscc.losses import sent_loss, words_loss
from miscc.config import cfg, cfg_from_file
from datasets import TextDataset
from datasets import prepare_data
from model import RNN_ENCODER, CNN_ENCODER
im... | 37.337838 | 123 | 0.59962 |
4c5f6aca589388c1cbb93ddd7c99546db2d8ca6a | 339 | py | Python | tolqc-api/app/main/service/specimen.py | sanger-tol/tolqc | 6ef535a0eb0028c5d9270ff18d95d38c6656cbdd | [
"MIT"
] | null | null | null | tolqc-api/app/main/service/specimen.py | sanger-tol/tolqc | 6ef535a0eb0028c5d9270ff18d95d38c6656cbdd | [
"MIT"
] | null | null | null | tolqc-api/app/main/service/specimen.py | sanger-tol/tolqc | 6ef535a0eb0028c5d9270ff18d95d38c6656cbdd | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Genome Research Ltd.
#
# SPDX-License-Identifier: MIT
from main.model import TolqcSpecimen
from main.schema import SpecimenSchema
from .base import BaseService, setup_service
@setup_service
class SpecimenService(BaseService):
class Meta:
model = TolqcSpecimen
schem... | 21.1875 | 51 | 0.769912 |
ee06d56e85a8c6140a4c00814e5fb41354d70c68 | 638 | py | Python | commands/help.py | plainenough/slackbot | 28c0b5c43f9b344aef3bf94d243ebdee82edaf72 | [
"MIT"
] | null | null | null | commands/help.py | plainenough/slackbot | 28c0b5c43f9b344aef3bf94d243ebdee82edaf72 | [
"MIT"
] | 25 | 2019-10-29T21:15:33.000Z | 2021-01-07T04:03:28.000Z | commands/help.py | plainenough/slackbot | 28c0b5c43f9b344aef3bf94d243ebdee82edaf72 | [
"MIT"
] | null | null | null | """Generate help message from docstrings."""
def alias():
"""Load custom commands and the functions they map too."""
alias = dict(help=generate_help)
return alias
def generate_help(**kwargs):
"""Pull the doc string out of all of the commands."""
message = kwargs.get('message')
commands = mes... | 30.380952 | 68 | 0.619122 |
a8a7cba23305b1ecc60e31c4549427514e9ae35d | 9,910 | py | Python | meanshifttracking.py | himanshubnm/vision-opencv | 17324a0cf12bc8203ea0740e2c536c91e701b999 | [
"MIT"
] | null | null | null | meanshifttracking.py | himanshubnm/vision-opencv | 17324a0cf12bc8203ea0740e2c536c91e701b999 | [
"MIT"
] | null | null | null | meanshifttracking.py | himanshubnm/vision-opencv | 17324a0cf12bc8203ea0740e2c536c91e701b999 | [
"MIT"
] | null | null | null | import numpy as np
import cv2
class MeanShiftTracker(object):
# initialization of tracker
def __init__(self, centroid_x, centroid_y, obj_width, obj_height):
self._prev_centroid_x = centroid_x
self._prev_centroid_y = centroid_y
self._curr_centroid_x = centroid_x
self._curr_cen... | 36.300366 | 128 | 0.614329 |
393219935255b25dfb97ea7e1bee291a6f2bb679 | 1,084 | py | Python | correlations/server.py | egenerat/portfolio | b356c682222255e647202b224266d6dc8ce2e0fb | [
"Apache-2.0"
] | null | null | null | correlations/server.py | egenerat/portfolio | b356c682222255e647202b224266d6dc8ce2e0fb | [
"Apache-2.0"
] | 41 | 2017-03-18T17:57:19.000Z | 2021-06-13T14:17:36.000Z | correlations/server.py | egenerat/portfolio | b356c682222255e647202b224266d6dc8ce2e0fb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
from flask import Flask, jsonify, request
from funds_correlations import correlations, parse_performances_from_dict
import traceback
app = Flask(__name__)
@app.route("/correlations", methods=['POST'])
def correlation_api():
try:
req_json = request.get_json()
valid_input = True
... | 27.794872 | 73 | 0.575646 |
7c3c7904e73bf158c6e1f2f17881c8e02d135bf7 | 4,950 | py | Python | tweet-new-statements.py | factopolis/factopolis | ab8305299431c41218e0a5f7211b18d5b18b6ad0 | [
"CC-BY-4.0",
"MIT"
] | 3 | 2017-08-16T19:58:46.000Z | 2017-09-23T17:46:47.000Z | tweet-new-statements.py | factopolis/factopolis | ab8305299431c41218e0a5f7211b18d5b18b6ad0 | [
"CC-BY-4.0",
"MIT"
] | 2 | 2017-09-04T03:25:30.000Z | 2017-11-02T03:10:29.000Z | tweet-new-statements.py | factopolis/factopolis | ab8305299431c41218e0a5f7211b18d5b18b6ad0 | [
"CC-BY-4.0",
"MIT"
] | null | null | null | #!/usr/bin/python3
# Yes, this is in desparate need of refactoring. Functionality grew without proper planning.
import os, re, json, tweepy, datetime, pprint, humanize
def tweet(msg, in_reply_to):
if ('TWITTER_CONSUMER_KEY' in os.environ
and 'TWITTER_CONSUMER_SECRET' in os.environ
and 'TW... | 30.9375 | 112 | 0.569091 |
95ad8184c61dd157cb47fb8ad0f2fd40a62aed63 | 1,182 | py | Python | Researchforum/researchforum/controllers/signup.py | Pratikgit/Researchforum | 3f86d1d959ac51ca224faba302092c23e805cfb4 | [
"Apache-2.0"
] | null | null | null | Researchforum/researchforum/controllers/signup.py | Pratikgit/Researchforum | 3f86d1d959ac51ca224faba302092c23e805cfb4 | [
"Apache-2.0"
] | null | null | null | Researchforum/researchforum/controllers/signup.py | Pratikgit/Researchforum | 3f86d1d959ac51ca224faba302092c23e805cfb4 | [
"Apache-2.0"
] | null | null | null | import logging
from pylons import request, response, session, tmpl_context as c, url
from pylons.controllers.util import abort, redirect
from researchforum.lib.base import BaseController, render
from researchforum.model import *
log = logging.getLogger(__name__)
class SignupController(BaseController):
def inde... | 35.818182 | 94 | 0.646362 |
4ff35c862e1d3a586c93d0f6c44ff5b60779af6e | 4,190 | py | Python | challenge/leet/medium/q695.py | odys-z/hello | 39ca67cae34eb4bc4cbd848a06b3c0d65a995954 | [
"MIT"
] | null | null | null | challenge/leet/medium/q695.py | odys-z/hello | 39ca67cae34eb4bc4cbd848a06b3c0d65a995954 | [
"MIT"
] | 3 | 2021-04-17T18:36:24.000Z | 2022-03-04T20:30:09.000Z | challenge/leet/medium/q695.py | odys-z/hello | 39ca67cae34eb4bc4cbd848a06b3c0d65a995954 | [
"MIT"
] | null | null | null | '''
695. Max Area of Island
https://leetcode.com/problems/max-area-of-island/
Input: grid = [
[_,_,1,_,_,_,_,1,_,_,_,_,_],
[_,_,_,_,_,_,_,1,1,1,_,_,_],
[_,1,1,_,1,_,_,_,_,_,_,_,_],
[_,1,_,_,1,1,_,_,1,_,1,_,_],
[_,1,_,_,1,1,_,_,1,1,1,_,_],
[_,_,_,_,_,_,_,_,_,_,1,_,_],
[_,_,_,_,_,_,_,1,1,1,_,_,_],
[_,_,_,_,_,_,_,1,1,... | 26.518987 | 80 | 0.432458 |
d24c979e256c96ae4f0a8c5ee108896f70af11c5 | 434 | py | Python | gen_big_slant_up.py | sechilds/altair_survey_pyconca_2019 | d4439031596f3351628e4adc5d5ad6ce12b1be70 | [
"MIT"
] | null | null | null | gen_big_slant_up.py | sechilds/altair_survey_pyconca_2019 | d4439031596f3351628e4adc5d5ad6ce12b1be70 | [
"MIT"
] | null | null | null | gen_big_slant_up.py | sechilds/altair_survey_pyconca_2019 | d4439031596f3351628e4adc5d5ad6ce12b1be70 | [
"MIT"
] | null | null | null | import pandas as pd
import altair as alt
datasaurus = pd.read_csv('data/DataSaurusDozen.tsv', delimiter = '\t')
alt.Chart(datasaurus[datasaurus.dataset == 'slant_up']).mark_point(color="#1b9e77").encode(
x = 'x:Q',
y = 'y:Q',
size = alt.value(90),
strokeWidth = alt.value(4)
).configure_axis(
label... | 24.111111 | 91 | 0.658986 |
d1fbee4e4d368569615cc48ea176df46a50180fa | 1,553 | py | Python | python-algorithm/leetcode/problem_40.py | isudox/nerd-algorithm | c1fbe153953cf3fc24395f75d102016fdf9ea0fa | [
"MIT"
] | 5 | 2017-06-11T09:19:34.000Z | 2019-01-16T16:58:31.000Z | python-algorithm/leetcode/problem_40.py | isudox/leetcode-solution | 60085e64deaf396a171367affc94b18114565c43 | [
"MIT"
] | 5 | 2020-03-22T13:53:54.000Z | 2020-03-23T08:49:35.000Z | python-algorithm/leetcode/problem_40.py | isudox/nerd-algorithm | c1fbe153953cf3fc24395f75d102016fdf9ea0fa | [
"MIT"
] | 1 | 2019-03-02T15:50:43.000Z | 2019-03-02T15:50:43.000Z | """40. Combination Sum II
https://leetcode.com/problems/combination-sum-ii/
Given a collection of candidate numbers (candidates) and
a target number (target), find all unique combinations in candidates where
the candidate numbers sums to target.
Each number in candidates may only be used once in the combination.
Not... | 24.265625 | 80 | 0.553767 |
4d4b1a324a7127990e8676acbe7216845303a6ae | 46,350 | py | Python | tensor2tensor/data_generators/generator_utils.py | jaseweir/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | [
"Apache-2.0"
] | 12,921 | 2017-06-15T17:11:46.000Z | 2022-03-31T15:22:11.000Z | tensor2tensor/data_generators/generator_utils.py | jaseweir/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | [
"Apache-2.0"
] | 1,635 | 2017-06-18T15:29:27.000Z | 2022-03-19T20:35:23.000Z | tensor2tensor/data_generators/generator_utils.py | jaseweir/tensor2tensor | 2a33b152d7835af66a6d20afe7961751047e28dd | [
"Apache-2.0"
] | 3,521 | 2017-06-15T18:25:42.000Z | 2022-03-31T05:47:55.000Z | # coding=utf-8
# Copyright 2021 The Tensor2Tensor Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable... | 36.961722 | 105 | 0.681036 |
3eaee3ea49d4252618de34e08e759ef0ad2b1d0a | 2,022 | py | Python | icsReader.py | LoicYvinec/PoliCal | d6f81a77727c5caeed5901b750b6bb322d9f5dba | [
"BSD-3-Clause"
] | null | null | null | icsReader.py | LoicYvinec/PoliCal | d6f81a77727c5caeed5901b750b6bb322d9f5dba | [
"BSD-3-Clause"
] | null | null | null | icsReader.py | LoicYvinec/PoliCal | d6f81a77727c5caeed5901b750b6bb322d9f5dba | [
"BSD-3-Clause"
] | null | null | null | import wget
import os
import logging
logging.basicConfig(filename='Running.log',level=logging.INFO, format='%(asctime)s:%(levelname)s:%(message)s')
def convertICStoCSV():
logging.info("Empezando:")
logging.infoc("Eliminando si existe")
print("Empezando:")
print("Eliminando si existe")
filename="m... | 33.7 | 181 | 0.558853 |
652482e633d9cce394c57398084724959a89b819 | 4,287 | py | Python | v7/subindexes/subindexes.py | littlemo/plugins | d7a6a6af11a7722c560c2de4fe959f77eb68d5b9 | [
"MIT"
] | 1 | 2017-10-15T00:43:44.000Z | 2017-10-15T00:43:44.000Z | v7/subindexes/subindexes.py | littlemo/plugins | d7a6a6af11a7722c560c2de4fe959f77eb68d5b9 | [
"MIT"
] | null | null | null | v7/subindexes/subindexes.py | littlemo/plugins | d7a6a6af11a7722c560c2de4fe959f77eb68d5b9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright © 2012-2014 Blake Winton <bwinton@latte.ca>.
# Permission is hereby granted, free of charge, to any
# person obtaining a copy of this software and associated
# documentation files (the "Software"), to deal in the
# Software without restriction, including without limitation
# the ri... | 43.30303 | 93 | 0.555633 |
fdfbf6b683b192199efb31573b5646783525f016 | 4,096 | py | Python | src/ontask/forms.py | ShizhuZhang/ontask_b | acbf05ff9b18dae0a41c67d1e41774e54a890c40 | [
"MIT"
] | 1 | 2020-11-08T16:47:46.000Z | 2020-11-08T16:47:46.000Z | src/ontask/forms.py | ShizhuZhang/Ontask_b_zh | ca4526871f26e7153b724b1e97b922a0b52f75d6 | [
"MIT"
] | null | null | null | src/ontask/forms.py | ShizhuZhang/Ontask_b_zh | ca4526871f26e7153b724b1e97b922a0b52f75d6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals, print_function
from datetimewidget.widgets import DateTimeWidget
from django import forms
from django.template.defaultfilters import filesizeformat
from django.utils.translation import ugettext_lazy as _
import ontask.ontask_prefs
dateTimeOptions = {
... | 36.247788 | 78 | 0.557617 |
65e00cc0acfbde0ffeca3fb48ea9cdcb30ba7951 | 2,365 | py | Python | src/testToneFrequency.py | ytyaru/Python.Audio.Chord.2017081743 | f9bad6c9c013c216aff586bed56ea646f26d1236 | [
"CC0-1.0"
] | null | null | null | src/testToneFrequency.py | ytyaru/Python.Audio.Chord.2017081743 | f9bad6c9c013c216aff586bed56ea646f26d1236 | [
"CC0-1.0"
] | null | null | null | src/testToneFrequency.py | ytyaru/Python.Audio.Chord.2017081743 | f9bad6c9c013c216aff586bed56ea646f26d1236 | [
"CC0-1.0"
] | null | null | null | import Wave.Player
import Wave.Sampler
import Wave.BaseWaveMaker
import Wave.WaveFile
import MusicTheory.ToneFrequency
if __name__ == '__main__':
tf = MusicTheory.ToneFrequency.ToneFrequency()
for name in ('C','D','E','F','G','A','B'): print(name, tf.ToFrequency(name))
print()
for name in ('C+','D+','E... | 46.372549 | 106 | 0.550529 |
78b3e367ddcbc5a5adfe95465f7aebd686ebf968 | 154 | py | Python | Core/pageManager/login.py | alpinepwd/Tiamat | 4d7f6d8af60b475bdbd70c3246f2d12b38c8e8e5 | [
"Apache-2.0"
] | 1 | 2016-09-22T09:38:02.000Z | 2016-09-22T09:38:02.000Z | Core/pageManager/login.py | alpinepwd/Tiamat | 4d7f6d8af60b475bdbd70c3246f2d12b38c8e8e5 | [
"Apache-2.0"
] | null | null | null | Core/pageManager/login.py | alpinepwd/Tiamat | 4d7f6d8af60b475bdbd70c3246f2d12b38c8e8e5 | [
"Apache-2.0"
] | null | null | null | from PageManager import PageManager
class login(PageManager):
"controlador de Login"
def __init__(self):
super(self)
print "jiji"
| 22 | 35 | 0.675325 |
660cc7cb121ed7d5dc1b89fe980add15ffce1310 | 2,464 | py | Python | omics/stats/tSNR.py | choyichen/pybcb | 60ba382be28bdbce466a9b24760fe44d421aa5ae | [
"MIT"
] | 3 | 2017-05-11T02:13:03.000Z | 2020-08-04T06:59:11.000Z | omics/stats/tSNR.py | choyichen/pybcb | 60ba382be28bdbce466a9b24760fe44d421aa5ae | [
"MIT"
] | null | null | null | omics/stats/tSNR.py | choyichen/pybcb | 60ba382be28bdbce466a9b24760fe44d421aa5ae | [
"MIT"
] | 1 | 2020-07-03T06:57:51.000Z | 2020-07-03T06:57:51.000Z | """Transcriptomic SNR (tSNR)
"""
import numpy as np
__version__ = '16.12.28'
__author__ = 'Cho-Yi Chen'
def tsnr(X, Y):
"""Transcriptomic SNR (tSNR)
X: case expression matrix (genes-by-samples)
Y: ctrl expression matrix (genes-by-samples)
Return the tSNR (float) between X and Y.
"""
# See ht... | 32.853333 | 99 | 0.616477 |
20572dfded2b4a9edb521e6e61ccc492312b29d5 | 658 | py | Python | install/TexGen/Python/Tests/TestUtils.py | dalexa10/puma | ca02309c9f5c71e2e80ad8d64155dd6ca936c667 | [
"NASA-1.3"
] | 14 | 2021-06-17T17:17:07.000Z | 2022-03-26T05:20:20.000Z | install/TexGen/Python/Tests/TestUtils.py | dalexa10/puma | ca02309c9f5c71e2e80ad8d64155dd6ca936c667 | [
"NASA-1.3"
] | 6 | 2021-11-01T20:37:39.000Z | 2022-03-11T17:18:53.000Z | install/TexGen/Python/Tests/TestUtils.py | dalexa10/puma | ca02309c9f5c71e2e80ad8d64155dd6ca936c667 | [
"NASA-1.3"
] | 8 | 2021-07-20T09:24:23.000Z | 2022-02-26T16:32:00.000Z | from TexGen.Core import *
def GetTestTextile():
Textile = CTextile()
Yarn = CYarn()
Yarn.AddNode(CNode(XYZ(0, 0, 0)))
Yarn.AddNode(CNode(XYZ(0, 1, 0)))
Yarn.AssignInterpolation(CInterpolationBezier())
Yarn.AssignSection(CYarnSectionConstant(CSectionEllipse(1, 1)))
Yarn.SetResolution(20)
... | 28.608696 | 67 | 0.674772 |
58ba402f2f717dd728770a6009bd5df772812508 | 2,883 | py | Python | mod_md/MDMessageCmd.py | k-komarov/c10r | 3f3d394f23aba889ac2c4db9b9e1aeaaf6f44cd6 | [
"MIT"
] | null | null | null | mod_md/MDMessageCmd.py | k-komarov/c10r | 3f3d394f23aba889ac2c4db9b9e1aeaaf6f44cd6 | [
"MIT"
] | null | null | null | mod_md/MDMessageCmd.py | k-komarov/c10r | 3f3d394f23aba889ac2c4db9b9e1aeaaf6f44cd6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import sys
import os.path
import mysql.connector
import logging
import toml
import dns.resolver
cwd = os.path.dirname(os.path.realpath(__file__))
config = toml.load(cwd + "/MDMessageCmd.toml")
logging.basicConfig(filename=config["logger"]["file"],
format='%(asctime)s [%(leve... | 38.44 | 103 | 0.607353 |
6219edf5f8696e2a3e025f09f59c67446de336a8 | 831 | py | Python | constants.py | Batlin/NestTweaks | 0ab833d68f20be078b0e06a2658b9ba3c55e4e99 | [
"MIT"
] | null | null | null | constants.py | Batlin/NestTweaks | 0ab833d68f20be078b0e06a2658b9ba3c55e4e99 | [
"MIT"
] | null | null | null | constants.py | Batlin/NestTweaks | 0ab833d68f20be078b0e06a2658b9ba3c55e4e99 | [
"MIT"
] | null | null | null | from enum import Enum
import apikeys
# Endpoints
SPREADSHEET = 'https://script.google.com/macros/s/' + apikeys.GS_ID + '/exec'
SPREADSHEET_DEV = 'https://script.google.com/macros/s/' + apikeys.GS_ID + '/dev'
# Open Weather
OWM_API_KEY = apikeys.OWM
OWM_CITY = 'Madrid, Spain'
OWM_UNITS = 'celsius'
# Google Assistant ... | 23.083333 | 80 | 0.731649 |
070274fba0af195c51a82b2219ce63701fc6ac4c | 5,141 | py | Python | natlas-server/app/admin/forms.py | ryanohoro/natlas | 7df513fe429928ac75b7478532cccd5ca88c8b62 | [
"Apache-2.0"
] | null | null | null | natlas-server/app/admin/forms.py | ryanohoro/natlas | 7df513fe429928ac75b7478532cccd5ca88c8b62 | [
"Apache-2.0"
] | null | null | null | natlas-server/app/admin/forms.py | ryanohoro/natlas | 7df513fe429928ac75b7478532cccd5ca88c8b62 | [
"Apache-2.0"
] | null | null | null | from flask_wtf import FlaskForm
from flask_wtf.file import FileField
from wtforms import StringField, BooleanField, SubmitField, TextAreaField, PasswordField, IntegerField, SelectField
from wtforms.validators import DataRequired, ValidationError, Email, Optional
from app.models import User, ScopeItem, AgentScript
impor... | 35.212329 | 115 | 0.76736 |
4c2cc2c86a9659e538fa587ebc98637d041df279 | 3,346 | py | Python | precise/model.py | mondhs/mycroft-precise | 5b0cc922ab8b767c7f7adf704aa9c4652a6a1bb9 | [
"Apache-2.0"
] | null | null | null | precise/model.py | mondhs/mycroft-precise | 5b0cc922ab8b767c7f7adf704aa9c4652a6a1bb9 | [
"Apache-2.0"
] | null | null | null | precise/model.py | mondhs/mycroft-precise | 5b0cc922ab8b767c7f7adf704aa9c4652a6a1bb9 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Mycroft AI Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 36.769231 | 98 | 0.692767 |
dc22e7d6a38b1b9e224a744d78487be33fca9852 | 1,806 | py | Python | terrascript/digitalocean/r.py | GarnerCorp/python-terrascript | ec6c2d9114dcd3cb955dd46069f8ba487e320a8c | [
"BSD-2-Clause"
] | null | null | null | terrascript/digitalocean/r.py | GarnerCorp/python-terrascript | ec6c2d9114dcd3cb955dd46069f8ba487e320a8c | [
"BSD-2-Clause"
] | null | null | null | terrascript/digitalocean/r.py | GarnerCorp/python-terrascript | ec6c2d9114dcd3cb955dd46069f8ba487e320a8c | [
"BSD-2-Clause"
] | 1 | 2018-11-15T16:23:05.000Z | 2018-11-15T16:23:05.000Z | from terrascript import _resource
class digitalocean_certificate(_resource): pass
certificate = digitalocean_certificate
class digitalocean_cdn(_resource): pass
cdn = digitalocean_cdn
class digitalocean_database_cluster(_resource): pass
database_cluster = digitalocean_database_cluster
class digitalocean_domain(_reso... | 29.129032 | 60 | 0.875969 |
dabc85be1b414657b1778bbaa0bd34f29a6c5254 | 18,763 | py | Python | rllib/tests/test_nested_observation_spaces.py | acmore/ray | 9f0f54266064e203b0bdcc9d3fa947cb4518ebc0 | [
"Apache-2.0"
] | null | null | null | rllib/tests/test_nested_observation_spaces.py | acmore/ray | 9f0f54266064e203b0bdcc9d3fa947cb4518ebc0 | [
"Apache-2.0"
] | 1 | 2020-06-23T07:54:44.000Z | 2020-06-23T08:04:47.000Z | rllib/tests/test_nested_observation_spaces.py | acmore/ray | 9f0f54266064e203b0bdcc9d3fa947cb4518ebc0 | [
"Apache-2.0"
] | null | null | null | from gym import spaces
from gym.envs.registration import EnvSpec
import gym
import numpy as np
import pickle
import unittest
import ray
from ray.rllib.agents.a3c import A2CTrainer
from ray.rllib.agents.pg import PGTrainer
from ray.rllib.agents.pg.pg_tf_policy import PGTFPolicy
from ray.rllib.env import MultiAgentEnv
f... | 34.810761 | 78 | 0.575761 |
756638a08de7ca34645f8c0bf3bb917c1a8d026b | 24,520 | py | Python | Lib/site-packages/PyQt5/examples/richtext/textedit/textedit.py | heylenz/python27 | bee49fa9d65b8ab7d591146a5b6cd47aeb41d940 | [
"bzip2-1.0.6",
"MIT"
] | null | null | null | Lib/site-packages/PyQt5/examples/richtext/textedit/textedit.py | heylenz/python27 | bee49fa9d65b8ab7d591146a5b6cd47aeb41d940 | [
"bzip2-1.0.6",
"MIT"
] | null | null | null | Lib/site-packages/PyQt5/examples/richtext/textedit/textedit.py | heylenz/python27 | bee49fa9d65b8ab7d591146a5b6cd47aeb41d940 | [
"bzip2-1.0.6",
"MIT"
] | null | null | null | #!/usr/bin/env python
#############################################################################
##
## Copyright (C) 2013 Riverbank Computing Limited
## Copyright (C) 2010 Hans-Peter Jansen <hpj@urpla.net>.
## Copyright (C) 2010 Nokia Corporation and/or its subsidiary(-ies).
## All rights reserved.
##
## This file... | 37.321157 | 89 | 0.612602 |
d24524e72eb3db446524554d15e8330f8db89fe7 | 2,303 | py | Python | Lib/site-packages/rope/base/ast.py | hirorin-demon/hirorin-streamlit | 03fbb6f03ec94f909d451e708a3b30b177607695 | [
"0BSD"
] | 463 | 2015-01-15T08:17:42.000Z | 2022-03-28T15:10:20.000Z | Lib/site-packages/rope/base/ast.py | hirorin-demon/hirorin-streamlit | 03fbb6f03ec94f909d451e708a3b30b177607695 | [
"0BSD"
] | 52 | 2015-01-06T02:43:59.000Z | 2022-03-14T11:15:21.000Z | Lib/site-packages/rope/base/ast.py | hirorin-demon/hirorin-streamlit | 03fbb6f03ec94f909d451e708a3b30b177607695 | [
"0BSD"
] | 249 | 2015-01-07T22:49:49.000Z | 2022-03-18T02:32:06.000Z | from __future__ import absolute_import
import ast
from ast import *
from rope.base import fscommands
try:
unicode
except NameError:
unicode = str
def parse(source, filename='<string>'):
# NOTE: the raw string should be given to `compile` function
if isinstance(source, unicode):
source = fsco... | 29.525641 | 72 | 0.600955 |
ef33e591013a547be58ff2b4dad927091046608b | 1,587 | py | Python | django_get_started/urls.py | patricia-j/devops-aula13 | 893282d02c832ba8e6fbd61ca0c785761890c548 | [
"MIT"
] | null | null | null | django_get_started/urls.py | patricia-j/devops-aula13 | 893282d02c832ba8e6fbd61ca0c785761890c548 | [
"MIT"
] | 12 | 2018-05-24T01:20:06.000Z | 2018-05-24T02:26:34.000Z | django_get_started/urls.py | patricia-j/devops-aula13 | 893282d02c832ba8e6fbd61ca0c785761890c548 | [
"MIT"
] | null | null | null | """
Definition of urls for django_get_started.
"""
from datetime import datetime
from django.conf.urls import patterns, url
from app.forms import BootstrapAuthenticationForm
# Uncomment the next lines to enable the admin:
# from django.conf.urls import include
# from django.contrib import admin
# admin.autodiscover()... | 33.0625 | 91 | 0.623819 |
d9bdbcd81822f1c58d3d9759404a67f3596d5025 | 2,060 | py | Python | dbdaora/hash/_tests/test_integration_service_hash_aioredis_exists.py | dutradda/sqldataclass | 5c87a3818e9d736bbf5e1438edc5929a2f5acd3f | [
"MIT"
] | 21 | 2019-10-14T14:33:33.000Z | 2022-02-11T04:43:07.000Z | dbdaora/hash/_tests/test_integration_service_hash_aioredis_exists.py | dutradda/sqldataclass | 5c87a3818e9d736bbf5e1438edc5929a2f5acd3f | [
"MIT"
] | null | null | null | dbdaora/hash/_tests/test_integration_service_hash_aioredis_exists.py | dutradda/sqldataclass | 5c87a3818e9d736bbf5e1438edc5929a2f5acd3f | [
"MIT"
] | 1 | 2019-09-29T23:51:44.000Z | 2019-09-29T23:51:44.000Z | import itertools
import asynctest
import pytest
from aioredis import RedisError
from jsondaora import dataclasses
@pytest.mark.asyncio
async def test_should_exists(fake_service, serialized_fake_entity):
await fake_service.repository.memory_data_source.hmset(
'fake:fake', *itertools.chain(*serialized_fake... | 30.294118 | 84 | 0.773301 |
17bd0a522f2729e1c2b6fab3cad91eb517756dba | 3,073 | py | Python | tests/clustering_system/evaluator/test_SupervisedEvaluation.py | vanam/clustering | 6e3d3ce7e60e31519b81547bc4afdf6ef3b0079f | [
"MIT"
] | 5 | 2019-05-28T15:45:46.000Z | 2020-10-05T17:48:27.000Z | tests/clustering_system/evaluator/test_SupervisedEvaluation.py | vanam/clustering | 6e3d3ce7e60e31519b81547bc4afdf6ef3b0079f | [
"MIT"
] | null | null | null | tests/clustering_system/evaluator/test_SupervisedEvaluation.py | vanam/clustering | 6e3d3ce7e60e31519b81547bc4afdf6ef3b0079f | [
"MIT"
] | 2 | 2019-07-16T14:13:19.000Z | 2020-11-23T01:53:44.000Z | import numpy as np
import scipy.stats
import sklearn.metrics
from numpy.testing import assert_almost_equal, assert_array_almost_equal
import clustering_system.evaluator.measures as cm
from clustering_system.evaluator.SupervisedEvaluation import SupervisedEvaluation
class TestSupervisedEvaluation:
def test_evalu... | 37.47561 | 103 | 0.669378 |
96a62a325dba27ce21e6618dec8dcf747836ad38 | 423 | py | Python | src/similarizer.py | DavidRivasPhD/mrseadd | fd41cf4965c7e96a5e995513b039fb5e3c7c9d0b | [
"Apache-2.0"
] | null | null | null | src/similarizer.py | DavidRivasPhD/mrseadd | fd41cf4965c7e96a5e995513b039fb5e3c7c9d0b | [
"Apache-2.0"
] | null | null | null | src/similarizer.py | DavidRivasPhD/mrseadd | fd41cf4965c7e96a5e995513b039fb5e3c7c9d0b | [
"Apache-2.0"
] | null | null | null |
def similarizing(query, sentences, nlp):
"""
Given a original_query and clean_sentences, the function scores the similarity between them
"""
doc_query = nlp(query)
similarity_scores = {}
for i in range(0, len(sentences)):
doc_sentence_i = nlp(sentences[i])
similarity_i = doc_que... | 32.538462 | 95 | 0.695035 |
767dc3e7d96e1e19e6064e94893c2d8a260da73e | 6,260 | py | Python | examples/flappy_birds.py | ericmux/termux2d | 195571c06b6844726e34cbd5d2643a2425c5f403 | [
"MIT"
] | null | null | null | examples/flappy_birds.py | ericmux/termux2d | 195571c06b6844726e34cbd5d2643a2425c5f403 | [
"MIT"
] | null | null | null | examples/flappy_birds.py | ericmux/termux2d | 195571c06b6844726e34cbd5d2643a2425c5f403 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import sys
import os
sys.path.append(os.path.abspath(".."))
import curses
from termux2d import Canvas, line
from time import sleep
from thread import start_new_thread
from Queue import Queue
import locale
from random import randint
locale.setlocale(locale.LC_ALL,"")
stdscr = curses.initscr()
... | 29.528302 | 80 | 0.474601 |
baecb9b88d901fe49ea2e4df982740cd10f7253e | 735 | py | Python | tests/test_reweighing.py | gusrabbit/aif360-learn | b14a9b98e96dd2756faf312047e9a50ccc1559fa | [
"Apache-2.0"
] | null | null | null | tests/test_reweighing.py | gusrabbit/aif360-learn | b14a9b98e96dd2756faf312047e9a50ccc1559fa | [
"Apache-2.0"
] | null | null | null | tests/test_reweighing.py | gusrabbit/aif360-learn | b14a9b98e96dd2756faf312047e9a50ccc1559fa | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import numpy as np
from aiflearn.algorithms.preprocessing.reweighing import Reweighing
from aiflearn.datasets import AdultDataset
def test_instance_weights():
ad = ... | 36.75 | 79 | 0.77551 |
304d5f835bdd81c7d2f2ebca7e3c22f6ee2a3ca8 | 459 | py | Python | examples/ackley.py | SimpleArt/spsa | 55ff58868f9b5e515dff4b55c8d0671f0f124f3d | [
"MIT"
] | 8 | 2022-02-19T07:28:18.000Z | 2022-03-16T07:15:37.000Z | examples/ackley.py | SimpleArt/spsa | 55ff58868f9b5e515dff4b55c8d0671f0f124f3d | [
"MIT"
] | null | null | null | examples/ackley.py | SimpleArt/spsa | 55ff58868f9b5e515dff4b55c8d0671f0f124f3d | [
"MIT"
] | null | null | null | import numpy as np
from examples._utils import run
def function(x: np.ndarray) -> float:
"""
The Ackley function is
-20 exp(-0.2 sqrt(0.5 (x^2 + y^2)))
- exp(0.5 (cos(2 pi x) + cos(2 pi y)))
"""
return -(
20 * np.exp(-0.2 * np.sqrt(0.5 * (x**2).sum()))
+ np.exp(0.5 * np.... | 22.95 | 55 | 0.503268 |
197f22e8843755fbb73e438c997faf4be5d2868a | 407 | py | Python | fireworks/utils/utils_test.py | kellylab/Fireworks | ff027cd8d1b8ce5eec6a37d786e7de675d8c0849 | [
"MIT"
] | 9 | 2019-05-01T01:22:10.000Z | 2020-12-08T15:41:13.000Z | fireworks/utils/utils_test.py | smk508/Fireworks | ff027cd8d1b8ce5eec6a37d786e7de675d8c0849 | [
"MIT"
] | 53 | 2019-01-20T17:02:38.000Z | 2019-03-24T18:00:08.000Z | fireworks/utils/utils_test.py | smk508/Fireworks | ff027cd8d1b8ce5eec6a37d786e7de675d8c0849 | [
"MIT"
] | 4 | 2019-07-04T15:39:46.000Z | 2021-08-17T04:59:25.000Z | from . import utils
import numpy as np
def test_one_hot():
hot = utils.one_hot(2, 10)
assert (hot == np.array([0,0,1,0,0,0,0,0,0,0])).all()
def test_subset_dict():
d1 = {'a':1, 'b':2, 'c':3, 'd': 4}
d2 = utils.subset_dict(d1, ['b', 'c', 'e'])
assert d2['b'] == d1['b']
assert d2['c'] == d2['c... | 21.421053 | 57 | 0.518428 |
e20a3d9ae867a8e4b24a1cc401095f36334af586 | 151,598 | py | Python | awlify/utils/awl_full_results.py | lpmi-13/awlify-python | e1a5826d94ceff1e586e1785fcd1967691ba2758 | [
"MIT"
] | 1 | 2019-09-14T11:38:48.000Z | 2019-09-14T11:38:48.000Z | awlify/utils/awl_full_results.py | lpmi-13/awlify-python | e1a5826d94ceff1e586e1785fcd1967691ba2758 | [
"MIT"
] | 1 | 2019-02-09T14:24:02.000Z | 2020-10-25T05:25:55.000Z | awlify/utils/awl_full_results.py | lpmi-13/awlify-python | e1a5826d94ceff1e586e1785fcd1967691ba2758 | [
"MIT"
] | null | null | null | awl_list = {"adjacent": {"head": "adjacent", "sublist": 10}, "albeit": {"head": "albeit", "sublist": 10}, "assemble": {"head": "assemble", "sublist": 10}, "assembled": {"head": "assemble", "sublist": 10}, "assembles": {"head": "assemble", "sublist": 10}, "assemblies": {"head": "assemble", "sublist": 10}, "assembling": ... | 75,799 | 151,597 | 0.589902 |
fb2ac49313b125c5ec20102506096a8575274ec2 | 305 | py | Python | game.py | keerthana1502/python_practice | 8c0499e014826af78f9a88730551ace3fa79686d | [
"bzip2-1.0.6"
] | null | null | null | game.py | keerthana1502/python_practice | 8c0499e014826af78f9a88730551ace3fa79686d | [
"bzip2-1.0.6"
] | null | null | null | game.py | keerthana1502/python_practice | 8c0499e014826af78f9a88730551ace3fa79686d | [
"bzip2-1.0.6"
] | null | null | null | a=input("left or right?")
if(a=="right"):
b=input("swim or wait? ")
if(b=="swim"):
c=input("colour = ")
if(c=="yellow"):
print("win")
else:
print("Game over")
elif(b=="wait"):
print("Game over")
elif(a=="left"):
print("Game over")
| 19.0625 | 30 | 0.452459 |
41ac45d9b86b6e40b318dd19dca22ee36e3582b7 | 73,824 | py | Python | Lib/xml/etree/ElementTree.py | masamitsu-murase/single_binary_stackless_python | 1a601683882bc0a024b1bef3e35719554e44cce1 | [
"CNRI-Python-GPL-Compatible"
] | 5 | 2018-07-02T19:10:39.000Z | 2021-09-27T04:05:10.000Z | Lib/xml/etree/ElementTree.py | masamitsu-murase/single_binary_stackless_python | 1a601683882bc0a024b1bef3e35719554e44cce1 | [
"CNRI-Python-GPL-Compatible"
] | 3 | 2018-06-10T06:28:06.000Z | 2021-09-24T13:54:19.000Z | Lib/xml/etree/ElementTree.py | masamitsu-murase/single_binary_stackless_python | 1a601683882bc0a024b1bef3e35719554e44cce1 | [
"CNRI-Python-GPL-Compatible"
] | null | null | null | """Lightweight XML support for Python.
XML is an inherently hierarchical data format, and the most natural way to
represent it is with a tree. This module has two classes for this purpose:
1. ElementTree represents the whole XML document as a tree and
2. Element represents a single node in this tree.
In... | 35.526468 | 96 | 0.57996 |
bdfe72787217fbeed7e0767f901365fb98bd66f1 | 73 | py | Python | start.py | ronligt/workshop_myrr | f898014301c3bc00179b71b6326803cc32847c6b | [
"MIT"
] | null | null | null | start.py | ronligt/workshop_myrr | f898014301c3bc00179b71b6326803cc32847c6b | [
"MIT"
] | null | null | null | start.py | ronligt/workshop_myrr | f898014301c3bc00179b71b6326803cc32847c6b | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from workshop import workshop
workshop.example()
| 12.166667 | 29 | 0.767123 |
215405000f5844fd8744253b46c0ec248a43a6d0 | 31,882 | py | Python | pyqode/core/panels/folding.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | pyqode/core/panels/folding.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | pyqode/core/panels/folding.py | haesleinhuepf/pyqode.core | 88b9bab081fd580d4de86f3d926a9f0b19146d28 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
This module contains the marker panel
"""
import logging
import os
import sys
from pyqode.core.api import TextBlockHelper, folding, TextDecoration, \
DelayJobRunner
from pyqode.core.api.folding import FoldScope
from pyqode.core.api.panel import Panel
from qtpy import QtCore, QtWidgets, Q... | 39.071078 | 85 | 0.577128 |
ea27b221c1d6ab1169212f62abde30df11413c7a | 88 | py | Python | vaskitsa/python/classifiers/__init__.py | hile/vaskitsa | acebf6cc970e9c342f6b8dc15f0c8d37b272aa5b | [
"PSF-2.0"
] | null | null | null | vaskitsa/python/classifiers/__init__.py | hile/vaskitsa | acebf6cc970e9c342f6b8dc15f0c8d37b272aa5b | [
"PSF-2.0"
] | null | null | null | vaskitsa/python/classifiers/__init__.py | hile/vaskitsa | acebf6cc970e9c342f6b8dc15f0c8d37b272aa5b | [
"PSF-2.0"
] | null | null | null | """
Python trove classifiers
"""
# flake8: noqa: F401
from .lookup import Classifiers
| 11 | 31 | 0.715909 |
3b5c19ef61dded7d2f804eae04e8bb6a25420b69 | 2,532 | py | Python | ceilometer/objectstore/notifications.py | gitter-badger/ceilometer | 21bde474f4836b4a933caf41baf4e20e5ff25135 | [
"Apache-2.0"
] | null | null | null | ceilometer/objectstore/notifications.py | gitter-badger/ceilometer | 21bde474f4836b4a933caf41baf4e20e5ff25135 | [
"Apache-2.0"
] | null | null | null | ceilometer/objectstore/notifications.py | gitter-badger/ceilometer | 21bde474f4836b4a933caf41baf4e20e5ff25135 | [
"Apache-2.0"
] | 3 | 2015-10-08T20:03:36.000Z | 2020-02-05T10:45:50.000Z | #
# Copyright 2015 Red Hat. 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 law or a... | 34.684932 | 77 | 0.628752 |
0bdfb86d43765d32c855bad56f72694632dbbce1 | 327 | py | Python | main.py | HiggsHydra/permian-frac-exchange | 1dd1e409e5389373590c7d3780a54cd9f12d1166 | [
"MIT"
] | null | null | null | main.py | HiggsHydra/permian-frac-exchange | 1dd1e409e5389373590c7d3780a54cd9f12d1166 | [
"MIT"
] | null | null | null | main.py | HiggsHydra/permian-frac-exchange | 1dd1e409e5389373590c7d3780a54cd9f12d1166 | [
"MIT"
] | null | null | null | """ Entry point"""
import logging
import app as app
import loggers
logger = logging.getLogger(__name__)
def main():
loggers.standard_config()
try:
app.run()
except Exception as e:
logger.exception("Process failed.")
if __name__ == "__main__":
main()
# TODO: Check ./data folder ... | 13.08 | 43 | 0.64526 |
c515990dfecce7c502c22d4b99eecc65a8dca123 | 24 | py | Python | hello_world.py | angrymarcos/profiles-rest-api | 54c04f03871c94a12832ec5d5850a162d74f3adf | [
"MIT"
] | null | null | null | hello_world.py | angrymarcos/profiles-rest-api | 54c04f03871c94a12832ec5d5850a162d74f3adf | [
"MIT"
] | 5 | 2021-03-19T11:25:39.000Z | 2022-02-10T13:15:47.000Z | hello_world.py | angrymarcos/profiles-rest-api | 54c04f03871c94a12832ec5d5850a162d74f3adf | [
"MIT"
] | null | null | null | print("hello World!!!")
| 12 | 23 | 0.625 |
9254e8ef8243e1eac39a8b2f722b7af6217535b9 | 12,757 | py | Python | zunclient/common/apiclient/exceptions.py | wkite/python-zunclient | f94c2838d33bfe2f5d440ea642d6ce1bd0fd47de | [
"Apache-2.0"
] | null | null | null | zunclient/common/apiclient/exceptions.py | wkite/python-zunclient | f94c2838d33bfe2f5d440ea642d6ce1bd0fd47de | [
"Apache-2.0"
] | null | null | null | zunclient/common/apiclient/exceptions.py | wkite/python-zunclient | f94c2838d33bfe2f5d440ea642d6ce1bd0fd47de | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 Jacob Kaplan-Moss
# Copyright 2011 Nebula, Inc.
# Copyright 2013 Alessio Ababilov
# Copyright 2013 OpenStack Foundation
# 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
# ... | 27.084926 | 79 | 0.670142 |
855194cc6b89604a3abfe46429e345503f2a27f1 | 96 | py | Python | venv/lib/python3.8/site-packages/numpy/core/numerictypes.py | Retraces/UkraineBot | 3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71 | [
"MIT"
] | 2 | 2022-03-13T01:58:52.000Z | 2022-03-31T06:07:54.000Z | venv/lib/python3.8/site-packages/numpy/core/numerictypes.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | 19 | 2021-11-20T04:09:18.000Z | 2022-03-23T15:05:55.000Z | venv/lib/python3.8/site-packages/numpy/core/numerictypes.py | DesmoSearch/Desmobot | b70b45df3485351f471080deb5c785c4bc5c4beb | [
"MIT"
] | null | null | null | /home/runner/.cache/pip/pool/8e/b1/37/7b57173356f7e78e62222f530083e033283e8bc4a15917acf6fea1faa4 | 96 | 96 | 0.895833 |
2f73d0ca868873168cb38f38457a2ea4422df4b4 | 2,454 | py | Python | src/lessons/watermark_lesson.py | vicktech/Face-Recognition | 5122cd73f664000ec6611b4d72aca1f4c57939cd | [
"Apache-2.0"
] | null | null | null | src/lessons/watermark_lesson.py | vicktech/Face-Recognition | 5122cd73f664000ec6611b4d72aca1f4c57939cd | [
"Apache-2.0"
] | null | null | null | src/lessons/watermark_lesson.py | vicktech/Face-Recognition | 5122cd73f664000ec6611b4d72aca1f4c57939cd | [
"Apache-2.0"
] | 1 | 2020-06-11T21:55:59.000Z | 2020-06-11T21:55:59.000Z | import numpy as np
import cv2
from utils import CFEVideoConf, image_resize
cap = cv2.VideoCapture(0)
save_path = 'saved-media/watermark.mp4'
frames_per_seconds = 24
config = CFEVideoConf(cap, filepath=save_path, res='720p')
out = cv2.VideoWriter(save_path, config.video_type, frames_per_seconds, config.dims)
img_pat... | 32.72 | 97 | 0.656072 |
05a7fcdca2213ee07978dcb27fd46fd6a32f0cdb | 3,130 | py | Python | dmhyorg.py | simonkq1/DMHY_qBittorrent_search_plugin | 7c6c1c230e7d3ee5a7c80f987224c8c41cb28024 | [
"MIT"
] | null | null | null | dmhyorg.py | simonkq1/DMHY_qBittorrent_search_plugin | 7c6c1c230e7d3ee5a7c80f987224c8c41cb28024 | [
"MIT"
] | null | null | null | dmhyorg.py | simonkq1/DMHY_qBittorrent_search_plugin | 7c6c1c230e7d3ee5a7c80f987224c8c41cb28024 | [
"MIT"
] | null | null | null |
#VERSION: 1.02
#AUTHORS: xyau (xyauhideto@gmail.com)
# MIT License
#
# Copyright (c) 2018 xyau
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limit... | 40.649351 | 209 | 0.608626 |
a2a362cc2efb66f56fc41c410a44b81153be2736 | 1,538 | py | Python | phrase_extract.py | neerajvashistha/blogAggregation | e73eb530ea946a0e278f22cf7b031b56b7ab264d | [
"MIT"
] | null | null | null | phrase_extract.py | neerajvashistha/blogAggregation | e73eb530ea946a0e278f22cf7b031b56b7ab264d | [
"MIT"
] | null | null | null | phrase_extract.py | neerajvashistha/blogAggregation | e73eb530ea946a0e278f22cf7b031b56b7ab264d | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import print_function
import six
import sys
from modules import rake
import operator
import io
# from modules import spellcheck
# from spellchecker import SpellChecker
from nltk.corpus import stopwords
stopword_list = stopwords.words('english')
stopword_list.extend... | 34.954545 | 95 | 0.728218 |
de4ce1ca5c7463fdf2f0c5385aaab8ba3ffd8512 | 8,989 | py | Python | src/poetry/masonry/builders/editable.py | nikmolnar/poetry | ea335b569502cd03647a9df9d6a6aad71acde93f | [
"MIT"
] | null | null | null | src/poetry/masonry/builders/editable.py | nikmolnar/poetry | ea335b569502cd03647a9df9d6a6aad71acde93f | [
"MIT"
] | null | null | null | src/poetry/masonry/builders/editable.py | nikmolnar/poetry | ea335b569502cd03647a9df9d6a6aad71acde93f | [
"MIT"
] | null | null | null | from __future__ import annotations
import hashlib
import os
import shutil
from base64 import urlsafe_b64encode
from pathlib import Path
from typing import TYPE_CHECKING
from poetry.core.masonry.builders.builder import Builder
from poetry.core.masonry.builders.sdist import SdistBuilder
from poetry.core.masonry.utils.... | 33.920755 | 87 | 0.557014 |
e18d6b482fd319c58448829fbf9b905f4275a4e2 | 3,773 | py | Python | proj_flask/web_app.py | markwkiehl/flask_proj1 | d065ca1b3f567800b5aca6e27379368e0e3346e9 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | proj_flask/web_app.py | markwkiehl/flask_proj1 | d065ca1b3f567800b5aca6e27379368e0e3346e9 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | proj_flask/web_app.py | markwkiehl/flask_proj1 | d065ca1b3f567800b5aca6e27379368e0e3346e9 | [
"MIT",
"BSD-3-Clause"
] | null | null | null | #web_app.py
from flask import jsonify, request, render_template, redirect, url_for
from proj_flask import app
# define a navigation bar
#pip install Flask-Navigation
#https://flask-navigation.readthedocs.io/en/latest/
from flask_navigation import Navigation
nav = Navigation()
nav.init_app(app)
nav.Bar('top', [
n... | 24.986755 | 113 | 0.61463 |
a89e356e80b92e676fc8dcea12766fbda812d8f4 | 15,270 | py | Python | baselines/bigcn/model/Twitter/BiGCN_Twitter-ORG-Attn-0331.py | JihoChoi/dynamic-gcn-deprecated-TBU | ff315206811b757f2f61f0776917e6a7d43c9379 | [
"MIT"
] | 1 | 2022-02-24T09:17:31.000Z | 2022-02-24T09:17:31.000Z | baselines/bigcn/model/Twitter/BiGCN_Twitter-ORG-Attn-0331.py | JihoChoi/dynamic-gcn-deprecated-TBU | ff315206811b757f2f61f0776917e6a7d43c9379 | [
"MIT"
] | null | null | null | baselines/bigcn/model/Twitter/BiGCN_Twitter-ORG-Attn-0331.py | JihoChoi/dynamic-gcn-deprecated-TBU | ff315206811b757f2f61f0776917e6a7d43c9379 | [
"MIT"
] | null | null | null | import sys,os
sys.path.append(os.getcwd())
# from Process.process import *
from Process.process import *
import torch as th
from torch_scatter import scatter_mean
import torch.nn.functional as F
import numpy as np
from tools.earlystopping import EarlyStopping
from torch_geometric.data import DataLoader
from tqdm import... | 44.132948 | 164 | 0.602685 |
927f4207e2f063dd3ac4b358411fb003df78fa14 | 20,018 | py | Python | disarm/binary/experiment_launcher_singlelayer.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | disarm/binary/experiment_launcher_singlelayer.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | disarm/binary/experiment_launcher_singlelayer.py | pedersor/google-research | 6fa751dd261b3f6d918fd2cd35efef5d8bf3eea6 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2022 The Google Research Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 36.264493 | 80 | 0.689729 |
41ac730759846752db8e713332d94474e5861bee | 3,451 | py | Python | examples/submission/calculation_tests/test_submit_fleur_mpi.py | Tseplyaev/aiida-fleur | 5de36d8b235e4b4edd908e7a0cb594112a461eb5 | [
"MIT"
] | null | null | null | examples/submission/calculation_tests/test_submit_fleur_mpi.py | Tseplyaev/aiida-fleur | 5de36d8b235e4b4edd908e7a0cb594112a461eb5 | [
"MIT"
] | null | null | null | examples/submission/calculation_tests/test_submit_fleur_mpi.py | Tseplyaev/aiida-fleur | 5de36d8b235e4b4edd908e7a0cb594112a461eb5 | [
"MIT"
] | null | null | null | #!/usr/bin/env runaiida
# -*- coding: utf-8 -*-
__copyright__ = (u"Copyright (c), 2016, Forschungszentrum Jülich GmbH, "
"IAS-1/PGI-1, Germany. All rights reserved.")
__license__ = "MIT license, see LICENSE.txt file"
__version__ = "0.27"
__contributors__ = "Jens Broeder"
from aiida import load_dbenv,... | 31.09009 | 97 | 0.701246 |
3a9f95fd53587dc34876913e802f50141b0e2ded | 15,755 | py | Python | myven/lib/python3.8/site-packages/ansible/modules/cloud/amazon/ec2_vpc_dhcp_option.py | baltham/dne-dna-code | 4a13309a790a670d2f07e635c9264a0c29976c6a | [
"MIT"
] | 1 | 2021-04-02T08:08:39.000Z | 2021-04-02T08:08:39.000Z | myven/lib/python3.8/site-packages/ansible/modules/cloud/amazon/ec2_vpc_dhcp_option.py | baltham/dne-dna-code | 4a13309a790a670d2f07e635c9264a0c29976c6a | [
"MIT"
] | null | null | null | myven/lib/python3.8/site-packages/ansible/modules/cloud/amazon/ec2_vpc_dhcp_option.py | baltham/dne-dna-code | 4a13309a790a670d2f07e635c9264a0c29976c6a | [
"MIT"
] | 1 | 2020-05-03T01:13:16.000Z | 2020-05-03T01:13:16.000Z | #!/usr/bin/python
# Copyright: Ansible Project
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {'metadata_version': '1.1',
'status': ['stableinterf... | 38.1477 | 155 | 0.663916 |
a6e282d54f4d271d6693c8193c613f5582f7e1cb | 88 | py | Python | app_sys/apps.py | sivarki/hjarnuc | 4acc9437af0f0fdc44d68dd0d6923e1039a4911b | [
"Apache-2.0"
] | null | null | null | app_sys/apps.py | sivarki/hjarnuc | 4acc9437af0f0fdc44d68dd0d6923e1039a4911b | [
"Apache-2.0"
] | null | null | null | app_sys/apps.py | sivarki/hjarnuc | 4acc9437af0f0fdc44d68dd0d6923e1039a4911b | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class AppSysConfig(AppConfig):
name = 'app_sys'
| 14.666667 | 33 | 0.75 |
a7f990dc05022a06f8d40fd2988dab796307c572 | 548 | py | Python | pypy/module/token/test/test_token.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 381 | 2018-08-18T03:37:22.000Z | 2022-02-06T23:57:36.000Z | pypy/module/token/test/test_token.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 16 | 2018-09-22T18:12:47.000Z | 2022-02-22T20:03:59.000Z | pypy/module/token/test/test_token.py | nanjekyejoannah/pypy | e80079fe13c29eda7b2a6b4cd4557051f975a2d9 | [
"Apache-2.0",
"OpenSSL"
] | 55 | 2015-08-16T02:41:30.000Z | 2022-03-20T20:33:35.000Z | class AppTestToken:
def setup_class(cls):
cls.w_token = cls.space.appexec([], """():
import token
return token""")
def test_isterminal(self):
assert self.token.ISTERMINAL(self.token.ENDMARKER)
assert not self.token.ISTERMINAL(300)
def test_isnonterminal(self):
asse... | 28.842105 | 60 | 0.671533 |
c27745178567440d72f336463f2c1cc7ab50e1c8 | 3,520 | py | Python | cacheops/conf.py | ymguerra/django-cacheops | 962fdf53b4b1f3a38320164f2f769809612cec59 | [
"BSD-3-Clause"
] | 1,369 | 2015-01-02T19:15:23.000Z | 2022-03-30T12:31:46.000Z | cacheops/conf.py | ymguerra/django-cacheops | 962fdf53b4b1f3a38320164f2f769809612cec59 | [
"BSD-3-Clause"
] | 285 | 2015-01-05T02:50:04.000Z | 2022-03-29T08:32:56.000Z | cacheops/conf.py | ymguerra/django-cacheops | 962fdf53b4b1f3a38320164f2f769809612cec59 | [
"BSD-3-Clause"
] | 178 | 2015-01-31T09:51:23.000Z | 2022-03-31T15:25:06.000Z | from importlib import import_module
from funcy import memoize, merge
from django.conf import settings as base_settings
from django.core.exceptions import ImproperlyConfigured
from django.core.signals import setting_changed
ALL_OPS = {'get', 'fetch', 'count', 'aggregate', 'exists'}
class Defaults:
CACHEOPS_ENAB... | 31.428571 | 100 | 0.641761 |
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