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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
51efc92fda90ed28e830f0577db776641952356a | 7,012 | py | Python | torch_glow/tests/utils.py | chenccfb/glow | 1ffb9d61d45912b2e0255beda61d60679f23c49c | [
"Apache-2.0"
] | null | null | null | torch_glow/tests/utils.py | chenccfb/glow | 1ffb9d61d45912b2e0255beda61d60679f23c49c | [
"Apache-2.0"
] | null | null | null | torch_glow/tests/utils.py | chenccfb/glow | 1ffb9d61d45912b2e0255beda61d60679f23c49c | [
"Apache-2.0"
] | null | null | null | # isort:skip_file
from __future__ import absolute_import, division, print_function, unicode_literals
import itertools
import os
from contextlib import contextmanager
from copy import deepcopy
import torch
import torch_glow
GLOW_FUSION_GROUP = "glow::FusionGroup"
SUBGRAPH_ATTR = "Subgraph"
BACKEND_NAME_KEY = "BACKEND... | 37.698925 | 118 | 0.662436 |
836aa1b0950f8d81316860ab10020c14a2970c6f | 16,792 | py | Python | sherlockpipe/ml/ml_model_builder.py | anthuil/SHERLOCK | e768a6375ded6c3ba1d07784afc2682e95228d3a | [
"MIT"
] | 1 | 2022-01-29T17:55:18.000Z | 2022-01-29T17:55:18.000Z | sherlockpipe/ml/ml_model_builder.py | anthuil/SHERLOCK | e768a6375ded6c3ba1d07784afc2682e95228d3a | [
"MIT"
] | null | null | null | sherlockpipe/ml/ml_model_builder.py | anthuil/SHERLOCK | e768a6375ded6c3ba1d07784afc2682e95228d3a | [
"MIT"
] | null | null | null | import keras
class MLModelBuilder:
def __init__(self) -> None:
super().__init__()
def get_flux_branch(self, name):
flux_input = keras.Input(shape=(2500, 7),
name=name) # (flux, detrended_flux1... detrended_flux5, flux_model) flux model by transit params and s... | 73.008696 | 155 | 0.725286 |
633688d3bc2aa189b43650d22491f55bf2114c84 | 17,053 | py | Python | Rectangle2DFlowControlWithRL/probes.py | gonanc13/Cylinder2DFlowControlDRL | 0a2ec37f15971d90bdbf4d64274799ac47803be3 | [
"MIT"
] | null | null | null | Rectangle2DFlowControlWithRL/probes.py | gonanc13/Cylinder2DFlowControlDRL | 0a2ec37f15971d90bdbf4d64274799ac47803be3 | [
"MIT"
] | null | null | null | Rectangle2DFlowControlWithRL/probes.py | gonanc13/Cylinder2DFlowControlDRL | 0a2ec37f15971d90bdbf4d64274799ac47803be3 | [
"MIT"
] | null | null | null | import numpy as np
from mpi4py import MPI as py_mpi
from dolfin import *
try:
from iufl import icompile
from ufl.corealg.traversal import traverse_unique_terminals
from iufl.operators import eigw
except ImportError:
print('iUFL can be obtained from https://github.com/MiroK/ufl-interpreter')
class Dr... | 37.233624 | 133 | 0.567877 |
de78376394a71d4af2a50535c0e7e7bb4519dea3 | 73,472 | py | Python | plotly/graph_objs/_histogram2dcontour.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 1 | 2018-07-16T01:51:47.000Z | 2018-07-16T01:51:47.000Z | plotly/graph_objs/_histogram2dcontour.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | null | null | null | plotly/graph_objs/_histogram2dcontour.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | null | null | null | from plotly.basedatatypes import BaseTraceType
import copy
class Histogram2dContour(BaseTraceType):
# autobinx
# --------
@property
def autobinx(self):
"""
Determines whether or not the x axis bin attributes are picked
by an algorithm. Note that this should be set to false if ... | 35.787628 | 89 | 0.554075 |
65f72d0e662c495e89bf3931180cde5e0cf9ce98 | 2,211 | py | Python | tests/core/test_encryption.py | squeaknode/squeak | e2c7159685728bc0d90b4b24fdfb4cc6084909fd | [
"MIT"
] | 2 | 2018-09-19T08:38:40.000Z | 2021-09-29T02:17:19.000Z | tests/core/test_encryption.py | squeaknode/squeak | e2c7159685728bc0d90b4b24fdfb4cc6084909fd | [
"MIT"
] | 11 | 2021-12-17T12:32:19.000Z | 2022-03-29T07:48:45.000Z | tests/core/test_encryption.py | yzernik/squeak | 669ffa969594d59bc67f7cb4d225073d1a9ff2cf | [
"MIT"
] | null | null | null | # MIT License
#
# Copyright (c) 2020 Jonathan Zernik
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, mer... | 40.944444 | 87 | 0.782451 |
33992d06c8a20b77a1e0c473732817e03b962a8c | 4,324 | py | Python | 2018/get_elo_2018.py | crsmi/audl-elo | 3787baaf2359fb2645bc265555bc92e16ed44625 | [
"MIT"
] | 2 | 2019-04-18T21:41:38.000Z | 2019-07-02T01:15:26.000Z | 2018/get_elo_2018.py | crsmi/audl-elo | 3787baaf2359fb2645bc265555bc92e16ed44625 | [
"MIT"
] | null | null | null | 2018/get_elo_2018.py | crsmi/audl-elo | 3787baaf2359fb2645bc265555bc92e16ed44625 | [
"MIT"
] | null | null | null | import pandas as pd
import datetime
import math
def four_pad(s):
if len(s) < 4:
return four_pad("0" + s)
return s
def fill(teams,games):
num_games = len(games)
games["gameorder"] = pd.Series(range(1,num_games+1))
game_ids = []
game_result = []
for i,row in games.iterrows():
... | 33.007634 | 212 | 0.606152 |
b14c7ac4884da3d491b09ee767d0b36904ae8f0e | 78 | py | Python | API/Flask_API/run.py | akhil-eppa/Auto-FAQ-Generation | 3131001e0a2a86a1cd53c128cf081d015ba08b9d | [
"Apache-2.0"
] | null | null | null | API/Flask_API/run.py | akhil-eppa/Auto-FAQ-Generation | 3131001e0a2a86a1cd53c128cf081d015ba08b9d | [
"Apache-2.0"
] | null | null | null | API/Flask_API/run.py | akhil-eppa/Auto-FAQ-Generation | 3131001e0a2a86a1cd53c128cf081d015ba08b9d | [
"Apache-2.0"
] | 1 | 2022-02-06T13:25:14.000Z | 2022-02-06T13:25:14.000Z | from FAQs import app
if __name__ == '__main__':
app.run(host='0.0.0.0')
| 15.6 | 27 | 0.628205 |
bb2b7b79f1c5dbeb029b6edbab8060192c10ef0a | 1,746 | py | Python | lintcode/easy/two_sum/py/two_sum2.py | lilsweetcaligula/Online-Judges | 48454a8e6b5b86f80e89eca1b396480df8960cfd | [
"MIT"
] | null | null | null | lintcode/easy/two_sum/py/two_sum2.py | lilsweetcaligula/Online-Judges | 48454a8e6b5b86f80e89eca1b396480df8960cfd | [
"MIT"
] | null | null | null | lintcode/easy/two_sum/py/two_sum2.py | lilsweetcaligula/Online-Judges | 48454a8e6b5b86f80e89eca1b396480df8960cfd | [
"MIT"
] | null | null | null | class Solution:
"""
@param seq : A sorted (x1 <= x2 ... <= xN) linearly sequential iterable (i.e. array)
@param target : Item to be on a lookout for.
@param lo : Lower bound to start the search at.
@param hi : Upper exclusive bound to terminate the search at.
@param key : The key a... | 31.745455 | 91 | 0.439863 |
8c73f5ebd6d2753650e77c457f6c6de29867a79d | 760 | py | Python | emailtemplates/settings.py | RG1BB5/django-html-emailtemplates | f2df89ab43df76ed15d53d6de62b34c44dccf9c1 | [
"BSD-3-Clause"
] | null | null | null | emailtemplates/settings.py | RG1BB5/django-html-emailtemplates | f2df89ab43df76ed15d53d6de62b34c44dccf9c1 | [
"BSD-3-Clause"
] | null | null | null | emailtemplates/settings.py | RG1BB5/django-html-emailtemplates | f2df89ab43df76ed15d53d6de62b34c44dccf9c1 | [
"BSD-3-Clause"
] | null | null | null | from django.apps import apps as django_apps
from django.conf import settings as django_settings
ALLOWS_LOOPS = getattr(django_settings, 'EMAIL_TEMPLATE_ALLOW_LOOPS', False)
def get_email_template_model():
from emailtemplates.models import EmailTemplate
if getattr(django_settings, 'EMAIL_TEMPLATE_MODEL', Fal... | 38 | 104 | 0.821053 |
a0e51acead5c4cce0251e14189c766115dda8883 | 920 | py | Python | setup.py | Lonsofore/FAQTelegramBot | 5044aa9e77faef73b7d86c3cc8b74afd1fa88ecb | [
"Apache-2.0"
] | 1 | 2019-11-20T04:17:04.000Z | 2019-11-20T04:17:04.000Z | setup.py | Lonsofore/FAQTelegramBot | 5044aa9e77faef73b7d86c3cc8b74afd1fa88ecb | [
"Apache-2.0"
] | null | null | null | setup.py | Lonsofore/FAQTelegramBot | 5044aa9e77faef73b7d86c3cc8b74afd1fa88ecb | [
"Apache-2.0"
] | null | null | null | from io import open
from setuptools import setup, find_packages
from os.path import join, dirname
from faqtelegrambot import __version__
with open('README.rst', 'rt', encoding='utf8') as f:
readme = f.read()
with open('requirements.txt', encoding='utf-8') as f:
requirements = f.read()
se... | 24.864865 | 60 | 0.651087 |
82673f4965845ea876fb755901ccad0282b17f07 | 11,377 | py | Python | train_rgb.py | masataka46/MultimodalDL | cc11b5bb9b5e7f7390380023067ad6a7e206de4b | [
"MIT"
] | 33 | 2016-11-14T11:41:03.000Z | 2021-11-30T10:46:01.000Z | train_rgb.py | reborm/MultimodalDL | cc11b5bb9b5e7f7390380023067ad6a7e206de4b | [
"MIT"
] | 1 | 2018-04-02T09:32:25.000Z | 2019-06-17T00:27:10.000Z | train_rgb.py | reborm/MultimodalDL | cc11b5bb9b5e7f7390380023067ad6a7e206de4b | [
"MIT"
] | 14 | 2017-04-04T18:56:01.000Z | 2021-04-12T06:20:18.000Z | #!/usr/bin/env python
"""Example code of learning a RGB dataset by the stage1 of Multimodal Deep Learning model.
Prerequisite: To run this example, crop the center of ILSVRC2012 training and
validation images and scale them to 256x256, and make two lists of space-
separated CSV whose first column is full path to image... | 33.560472 | 122 | 0.594797 |
2e7f5b8816e6bb480cf96ee3c12ef1a2ef490c7d | 1,697 | py | Python | pyinsteon/handlers/from_device/x10_received.py | pyinsteon/pyinsteon | 1ecc2ed3c2fc4bc333d76d9238ffdcf44e7efdd5 | [
"MIT"
] | 15 | 2020-07-08T05:29:14.000Z | 2022-03-24T18:56:26.000Z | pyinsteon/handlers/from_device/x10_received.py | bshep/pyinsteon | 7025cb6f3beb42f43c6a13799eff0a6b77e38e69 | [
"MIT"
] | 107 | 2019-06-03T09:23:02.000Z | 2022-03-31T23:12:38.000Z | pyinsteon/handlers/from_device/x10_received.py | teharris1/pyinsteon | 9476473676d714a62f0cfcc5124f7cd7e96de98b | [
"MIT"
] | 16 | 2019-01-24T01:09:49.000Z | 2022-02-24T03:48:42.000Z | """Receive an X10 message."""
from ... import pub
from ...constants import X10Commands, X10CommandType
from ...topics import X10_RECEIVED
from ...utils import byte_to_command, byte_to_unitcode, parse_x10
from ...x10_address import create
from .. import inbound_handler
from ..inbound_base import InboundHandlerBase
cl... | 35.354167 | 81 | 0.65056 |
1e2d5ada5c8391e17b80bdc37264776629baf012 | 682 | py | Python | FEIT_UTS_hackathon/users/migrations/0001_initial.py | HHry0918/FEIT_Hackathon | 222bcf6390dddb236da47b20689c66aa69f912fa | [
"MIT"
] | null | null | null | FEIT_UTS_hackathon/users/migrations/0001_initial.py | HHry0918/FEIT_Hackathon | 222bcf6390dddb236da47b20689c66aa69f912fa | [
"MIT"
] | null | null | null | FEIT_UTS_hackathon/users/migrations/0001_initial.py | HHry0918/FEIT_Hackathon | 222bcf6390dddb236da47b20689c66aa69f912fa | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-08-14 03:29
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='User',
fields=[
('id', models.BigAutoField(... | 27.28 | 117 | 0.573314 |
59d612156c54ebe7b3deb2f10e42b033188910b2 | 30,448 | py | Python | deepLPI.py | dls03/DeepLPI | 619892db11e61c469ac36e58139bbe0c426161ef | [
"MIT"
] | 1 | 2021-06-05T17:39:30.000Z | 2021-06-05T17:39:30.000Z | deepLPI.py | dls03/DeepLPI | 619892db11e61c469ac36e58139bbe0c426161ef | [
"MIT"
] | null | null | null | deepLPI.py | dls03/DeepLPI | 619892db11e61c469ac36e58139bbe0c426161ef | [
"MIT"
] | 2 | 2020-04-11T20:02:44.000Z | 2021-11-23T04:51:37.000Z | import keras
from keras.layers import Input, LSTM, Dense, Dropout, Activation, Flatten
from keras.models import Model
import numpy as np
from keras.utils import to_categorical
from numpy import array
from keras import regularizers
import numpy as np
import pandas as pd
import csv
import scipy.io as sio
from keras.layer... | 42.406685 | 223 | 0.709373 |
8dc6532d27cca36b380fb98aaaff92d76512302b | 1,332 | py | Python | atcodertools/release_management/version_check.py | koba-e964/atcoder-tools | 9a7221af631a141afccfcb6e26a017cd797ceb47 | [
"MIT"
] | null | null | null | atcodertools/release_management/version_check.py | koba-e964/atcoder-tools | 9a7221af631a141afccfcb6e26a017cd797ceb47 | [
"MIT"
] | null | null | null | atcodertools/release_management/version_check.py | koba-e964/atcoder-tools | 9a7221af631a141afccfcb6e26a017cd797ceb47 | [
"MIT"
] | null | null | null | import json
import os
import time
import requests
from atcodertools.fileutils.artifacts_cache import get_cache_file_path
class VersionCheckError(Exception):
pass
cache_file_path = get_cache_file_path('version_cache.txt')
HOUR_IN_SEC = 60 * 60
def _fetch_latest_version():
dic = json.loads(requests.get(
... | 22.576271 | 70 | 0.672673 |
1d2180874fd53a8cd096bf6f2236357581cb36c0 | 732 | py | Python | imix/models/vqa_models/uniter/misc.py | linxi1158/iMIX | af87a17275f02c94932bb2e29f132a84db812002 | [
"Apache-2.0"
] | 23 | 2021-06-26T08:45:19.000Z | 2022-03-02T02:13:33.000Z | imix/models/vqa_models/uniter/misc.py | XChuanLee/iMIX | 99898de97ef8b45462ca1d6bf2542e423a73d769 | [
"Apache-2.0"
] | null | null | null | imix/models/vqa_models/uniter/misc.py | XChuanLee/iMIX | 99898de97ef8b45462ca1d6bf2542e423a73d769 | [
"Apache-2.0"
] | 9 | 2021-06-10T02:36:20.000Z | 2021-11-09T02:18:16.000Z | """Copyright (c) Microsoft Corporation. Licensed under the MIT license.
Misc utilities
"""
import torch
import logging
logger = logging.getLogger(__name__)
def set_dropout(model, drop_p):
for name, module in model.named_modules():
# we might want to tune dropout for smaller dataset
if isinstance... | 28.153846 | 71 | 0.661202 |
87a1c9294b3549cb1a48984b06eb0403d1f29c4f | 2,029 | py | Python | timeseries-streaming/timeseries-python-applications/MLPipelineExamples/test_pipelines/timeseries_local_simple_data.py | rjbordon/dataflow-sample-applications | e7a58ac3fc7af9022d0ae61702a5f6043bc4b2db | [
"Apache-2.0"
] | 5 | 2020-09-22T12:25:03.000Z | 2021-07-28T22:47:07.000Z | timeseries-streaming/timeseries-python-applications/MLPipelineExamples/test_pipelines/timeseries_local_simple_data.py | rjbordon/dataflow-sample-applications | e7a58ac3fc7af9022d0ae61702a5f6043bc4b2db | [
"Apache-2.0"
] | null | null | null | timeseries-streaming/timeseries-python-applications/MLPipelineExamples/test_pipelines/timeseries_local_simple_data.py | rjbordon/dataflow-sample-applications | e7a58ac3fc7af9022d0ae61702a5f6043bc4b2db | [
"Apache-2.0"
] | 2 | 2021-04-29T04:49:17.000Z | 2022-01-27T19:59:14.000Z | # Lint as: python2, python3
# Copyright 2020 Google LLC. 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 req... | 39.784314 | 86 | 0.722031 |
6f74b507390a727113086e69508f167761704128 | 14,518 | py | Python | samples/nevera/nevera.py | groloboy/Mask_RCNN_fridge | 0db9ccef6b01ab374b85269d7777eff97b64c3da | [
"MIT"
] | null | null | null | samples/nevera/nevera.py | groloboy/Mask_RCNN_fridge | 0db9ccef6b01ab374b85269d7777eff97b64c3da | [
"MIT"
] | null | null | null | samples/nevera/nevera.py | groloboy/Mask_RCNN_fridge | 0db9ccef6b01ab374b85269d7777eff97b64c3da | [
"MIT"
] | null | null | null | """
Mask R-CNN
Train on the toy Nevera dataset and implement color splash effect.
Copyright (c) 2018 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
------------------------------------------------------------
Usage: import the module (see Jupyter notebooks for exa... | 38.407407 | 94 | 0.586376 |
826651bbc7177c0922ceedab346dec79745a877e | 1,295 | py | Python | pythonLibs/sArray.py | Justist/justLibraries | fdf9dea2291b600c6e46ab2356321e01fb8ca547 | [
"Apache-2.0"
] | null | null | null | pythonLibs/sArray.py | Justist/justLibraries | fdf9dea2291b600c6e46ab2356321e01fb8ca547 | [
"Apache-2.0"
] | null | null | null | pythonLibs/sArray.py | Justist/justLibraries | fdf9dea2291b600c6e46ab2356321e01fb8ca547 | [
"Apache-2.0"
] | null | null | null | import sys
from copy import deepcopy
# Defines a list of lists of specified dimensions
# Acts the same as a C++ array definition:
# To create an array[w][x][y][z][etc], the correct call is
# sArray(w, x, y, z, etc)
# The amount of dimensions is, in theory, only limited by
# available memory.
def sArray(*dimensions):
... | 30.116279 | 58 | 0.713514 |
34c86072b0da82e29660ec5ca974ab0e2c21b9c5 | 3,046 | py | Python | Tests/casino/number.py | MarcPartensky/Python-2020 | 1a4ef2edfea6efb353249d5e32c06b230b293c62 | [
"MIT"
] | 1 | 2020-09-02T10:41:49.000Z | 2020-09-02T10:41:49.000Z | Tests/casino/number.py | MarcPartensky/Python-2020 | 1a4ef2edfea6efb353249d5e32c06b230b293c62 | [
"MIT"
] | null | null | null | Tests/casino/number.py | MarcPartensky/Python-2020 | 1a4ef2edfea6efb353249d5e32c06b230b293c62 | [
"MIT"
] | null | null | null | a = [1.25, 3.4, 1.0, 1.59, 1.08, 1.56, 1.82, 1.02, 1.61, 7.78, 1.69, 7.69, 3.74,
1.19, 1.09, 2.65, 1.07, 1.02, 2.03, 7.71, 2.49, 2.18, 20.52, 1.9, 1.75, 2.03, 2.23,
2.82, 1.24, 1.96, 1.16, 1.59, 9.72, 2.35, 1.0, 1.22, 8.52, 1.85, 1.89, 1.86,
7.74, 1.11, 1.42, 1.0, 1.87, 1.0, 1.0, 2.98, 4.69, 3.97, 1.64, 1.0, 45.98, 2.0... | 78.102564 | 85 | 0.495404 |
e92193effa7f0bc8d5ed99ef5ebc36b11a29d622 | 754 | py | Python | main.py | glovguy/ouroboros | 6cdd0eb2e57f2a75c03086c7bc70570467cb9468 | [
"MIT"
] | null | null | null | main.py | glovguy/ouroboros | 6cdd0eb2e57f2a75c03086c7bc70570467cb9468 | [
"MIT"
] | null | null | null | main.py | glovguy/ouroboros | 6cdd0eb2e57f2a75c03086c7bc70570467cb9468 | [
"MIT"
] | null | null | null | from load.project_imports import all_project_python_files
from load.nodeFactory import *
from circularity.search import find_loops_with_stack
from display.graph import display_loops
from display.table import display_problem_modules
pythonFiles = all_project_python_files()
nodeHash = node_hash_from_file_names(pythonFi... | 26 | 57 | 0.758621 |
16e546d1c1c3e2a1182a5e40e0d10e0c9d64a81c | 2,936 | py | Python | test/functional/feature_anchors.py | qogecoin/qogecoin | fce42076f1a2746525374f50f35939392f37ca84 | [
"MIT"
] | 9 | 2021-10-30T01:01:50.000Z | 2022-02-10T02:20:44.000Z | test/functional/feature_anchors.py | qogecoin/qogecoin | fce42076f1a2746525374f50f35939392f37ca84 | [
"MIT"
] | 4 | 2021-10-17T19:59:16.000Z | 2021-11-04T19:11:25.000Z | test/functional/feature_anchors.py | qogecoin/qogecoin | fce42076f1a2746525374f50f35939392f37ca84 | [
"MIT"
] | 7 | 2021-11-01T09:09:41.000Z | 2022-03-23T02:47:30.000Z | #!/usr/bin/env python3
# Copyright (c) 2020-2021 The Bitcoin and Qogecoin Core Authors
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test block-relay-only anchors functionality"""
import os
from test_framework.p2p import P2P... | 34.952381 | 92 | 0.650545 |
8c3c86ebba768d0b55161b251ef3bebb5ab12bea | 19,025 | py | Python | plugins/keepkey/keepkey.py | deeponion/electrum-deeponion | 0cb769ff7cd5eece2db29cc0f78ef5fa376eb9e2 | [
"MIT"
] | 3 | 2018-09-29T13:50:29.000Z | 2019-05-18T23:09:44.000Z | plugins/keepkey/keepkey.py | truongdoithuong/electrum-deeponion | 0cb769ff7cd5eece2db29cc0f78ef5fa376eb9e2 | [
"MIT"
] | null | null | null | plugins/keepkey/keepkey.py | truongdoithuong/electrum-deeponion | 0cb769ff7cd5eece2db29cc0f78ef5fa376eb9e2 | [
"MIT"
] | 5 | 2018-09-29T13:50:34.000Z | 2020-11-21T12:46:41.000Z | from binascii import hexlify, unhexlify
import traceback
import sys
from electrum_deeponion.util import bfh, bh2u, UserCancelled
from electrum_deeponion.bitcoin import (b58_address_to_hash160, xpub_from_pubkey,
TYPE_ADDRESS, TYPE_SCRIPT,
is_segwit_address)
fr... | 43.33713 | 133 | 0.592431 |
3bc8239c0e4b3b1f382d7ffe2c46b09d1535d90b | 40,320 | py | Python | lib/transaction.py | ZclassicDev/electrum-zcl | 81476b270a45575349afcfb973e8347edccbdb14 | [
"MIT"
] | null | null | null | lib/transaction.py | ZclassicDev/electrum-zcl | 81476b270a45575349afcfb973e8347edccbdb14 | [
"MIT"
] | 2 | 2019-01-05T17:00:00.000Z | 2019-02-28T15:33:56.000Z | lib/transaction.py | ZclassicDev/electrum-zcl | 81476b270a45575349afcfb973e8347edccbdb14 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#
# Electrum - lightweight Bitcoin client
# Copyright (C) 2011 Thomas Voegtlin
#
# 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... | 37.16129 | 159 | 0.594618 |
50b81bc773919a6c893c01d9ce650f89e5e8e3ae | 667 | py | Python | models/AttnLayers.py | wenting-zhao/cs6741_replication | fbd8275793c5d2b097458c68bc3bba00144665aa | [
"MIT"
] | null | null | null | models/AttnLayers.py | wenting-zhao/cs6741_replication | fbd8275793c5d2b097458c68bc3bba00144665aa | [
"MIT"
] | null | null | null | models/AttnLayers.py | wenting-zhao/cs6741_replication | fbd8275793c5d2b097458c68bc3bba00144665aa | [
"MIT"
] | null | null | null | from torch import nn
class Attention(nn.Module) :
def __init__(self, hidden_size) :
super(Attention, self).__init__()
self.attn1 = nn.Linear(hidden_size*2, hidden_size)
self.attn2 = nn.Linear(hidden_size, 1, bias=False)
self.tanh = nn.Tanh()
def masked_softmax(self, attn_odds... | 29 | 58 | 0.614693 |
c8f81ccaa10738a216c19613659f0928672af369 | 2,845 | py | Python | python/streamapp/modules/misc.py | markub3327/AIGarden | d02f86aba55865a3814e9d0731459053f6c7eabb | [
"MIT"
] | null | null | null | python/streamapp/modules/misc.py | markub3327/AIGarden | d02f86aba55865a3814e9d0731459053f6c7eabb | [
"MIT"
] | null | null | null | python/streamapp/modules/misc.py | markub3327/AIGarden | d02f86aba55865a3814e9d0731459053f6c7eabb | [
"MIT"
] | null | null | null | from functools import partial
import torch
from six.moves import map, zip
def matrix_nms(
seg_masks, cate_labels, cate_scores, kernel="gaussian", sigma=2.0, sum_masks=None
):
"""Matrix NMS for multi-class masks.
Args:
seg_masks (Tensor): shape (n, h, w)
cate_labels (Tensor): shape (n), m... | 33.081395 | 85 | 0.650967 |
44717d033a28051198198b55a53a1c8bdc3fca59 | 8,849 | py | Python | accounts/views.py | AlexTrapp/SteemLogs | da170b6a61c1b2cf74819db92238f9ae92dae7de | [
"MIT"
] | 2 | 2017-11-18T23:20:30.000Z | 2017-11-29T20:10:23.000Z | accounts/views.py | AlexTrapp/SteemLogs | da170b6a61c1b2cf74819db92238f9ae92dae7de | [
"MIT"
] | 1 | 2017-12-31T05:55:19.000Z | 2017-12-31T05:55:19.000Z | accounts/views.py | coffeesource-net/coffeesource_app | da170b6a61c1b2cf74819db92238f9ae92dae7de | [
"MIT"
] | 3 | 2017-12-30T15:26:59.000Z | 2018-12-08T20:02:04.000Z | import json
from steem import Steem
from dateutil import parser
from django.http import JsonResponse
from django.http import Http404
from django.shortcuts import redirect
from django.views.generic import TemplateView
from django.views.generic import View
from django.template.loader import render_to_string
from .data ... | 31.158451 | 76 | 0.567296 |
898a8722dd499d9cb46bd2625705b90de3f55c65 | 6,488 | py | Python | rubyenv/app.py | schinckel/rubyenv | d4dc1f8764f4d25609ba39605d499f23c2d1975b | [
"MIT"
] | 1 | 2018-09-21T08:35:45.000Z | 2018-09-21T08:35:45.000Z | rubyenv/app.py | search5/rubyenv | d4dc1f8764f4d25609ba39605d499f23c2d1975b | [
"MIT"
] | null | null | null | rubyenv/app.py | search5/rubyenv | d4dc1f8764f4d25609ba39605d499f23c2d1975b | [
"MIT"
] | null | null | null | from __future__ import print_function
import argparse
import git
import logging
import logging.config
import os
import shutil
import sys
import tarfile
import six
from past.builtins import basestring
from six.moves.urllib.parse import urlparse, urlencode
from six.moves.urllib.request import urlopen
from six.moves.url... | 31.64878 | 109 | 0.584155 |
23a963c5a176c58cc2b5a1e5705a550d74811666 | 22,306 | py | Python | seqgra/simulator/simulator.py | gifford-lab/seqgra | 3c7547878ecda4c00572746b8a07e0d614c9dbef | [
"MIT"
] | null | null | null | seqgra/simulator/simulator.py | gifford-lab/seqgra | 3c7547878ecda4c00572746b8a07e0d614c9dbef | [
"MIT"
] | null | null | null | seqgra/simulator/simulator.py | gifford-lab/seqgra | 3c7547878ecda4c00572746b8a07e0d614c9dbef | [
"MIT"
] | 2 | 2021-06-14T20:27:40.000Z | 2021-06-14T20:29:29.000Z | """
MIT - CSAIL - Gifford Lab - seqgra
Generates synthetic sequences based on grammar
@author: Konstantin Krismer
"""
from __future__ import annotations
import logging
import os
import sys
import random
from typing import Dict, List, Set
import numpy as np
import pkg_resources
import ushuffle
import seqgra.constan... | 49.349558 | 213 | 0.541558 |
2d939f85569419c17930cc4fe6d66fcd0405721a | 284 | py | Python | aiocodeforces/member.py | jpark9013/aiocodeforces | 710b95449051903f3530970152f3b5371da39609 | [
"MIT"
] | 5 | 2020-09-02T18:44:35.000Z | 2022-03-06T04:21:03.000Z | aiocodeforces/member.py | jpark9013/aiocodeforces | 710b95449051903f3530970152f3b5371da39609 | [
"MIT"
] | null | null | null | aiocodeforces/member.py | jpark9013/aiocodeforces | 710b95449051903f3530970152f3b5371da39609 | [
"MIT"
] | null | null | null | class Member:
__slots__ = ["handle"]
def __init__(self, dic):
self.handle: str = dic["handle"]
def __eq__(self, other):
return isinstance(other, Member) and self.handle == other.handle
def __ne__(self, other):
return not self.__eq__(other)
| 21.846154 | 72 | 0.623239 |
63f64e292049a306c039543fa36e1255c22bd156 | 2,666 | py | Python | tartiflette/language/ast/fragment_definition.py | matt-koevort/tartiflette | 5777866b133d846ce4f8aa03f735fa81832896cd | [
"MIT"
] | 530 | 2019-06-04T11:45:36.000Z | 2022-03-31T09:29:56.000Z | tartiflette/language/ast/fragment_definition.py | matt-koevort/tartiflette | 5777866b133d846ce4f8aa03f735fa81832896cd | [
"MIT"
] | 242 | 2019-06-04T11:53:08.000Z | 2022-03-28T07:06:27.000Z | tartiflette/language/ast/fragment_definition.py | matt-koevort/tartiflette | 5777866b133d846ce4f8aa03f735fa81832896cd | [
"MIT"
] | 36 | 2019-06-21T06:40:27.000Z | 2021-11-04T13:11:16.000Z | from typing import Any, List, Optional
from tartiflette.language.ast.base import ExecutableDefinitionNode
__all__ = ("FragmentDefinitionNode",)
class FragmentDefinitionNode(ExecutableDefinitionNode):
"""
AST node representing a GraphQL fragment definition.
"""
__slots__ = (
"name",
... | 32.91358 | 77 | 0.605401 |
592481c087fabf4104c688476fec3ea299ff0b98 | 13,590 | py | Python | discord/shard.py | MinerChAI/discord.py | eeabb8ebb6eb5b6af2dea02c8d66c19c0e0e5dff | [
"MIT"
] | null | null | null | discord/shard.py | MinerChAI/discord.py | eeabb8ebb6eb5b6af2dea02c8d66c19c0e0e5dff | [
"MIT"
] | null | null | null | discord/shard.py | MinerChAI/discord.py | eeabb8ebb6eb5b6af2dea02c8d66c19c0e0e5dff | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
The MIT License (MIT)
Copyright (c) 2015-2019 Rapptz
Permission is hereby granted, free of charge, to any person obtaining a
copy of this software and associated documentation files (the "Software"),
to deal in the Software without restriction, including without limitation
the rights to u... | 35.116279 | 125 | 0.622517 |
3093ebfd380253ff7bd2dad382eccaf5ac298794 | 13,066 | py | Python | master_duel_auto_scan_version.py | sensssz/MasterDuelSimpleTranslateTool | 2cdffb2a254e7552d2c315769e865aa47861d1d6 | [
"MIT"
] | 70 | 2022-01-23T22:22:56.000Z | 2022-03-24T07:38:31.000Z | master_duel_auto_scan_version.py | ykk2061/MasterDuelSimpleTranslateTool | 455581a84c046e5544c997cca94a98f7d4b4b94d | [
"MIT"
] | 4 | 2022-01-24T17:40:32.000Z | 2022-01-26T09:07:21.000Z | master_duel_auto_scan_version.py | ykk2061/MasterDuelSimpleTranslateTool | 455581a84c046e5544c997cca94a98f7d4b4b94d | [
"MIT"
] | 27 | 2022-01-23T22:03:20.000Z | 2022-03-06T07:28:43.000Z | import os
from re import M
import sys
from threading import Thread
import time
from PIL import Image, ImageFile
import dhash
import sqlite3
import win32api
import win32process
import win32gui
import win32ui
import win32con
import win32print
from ctypes import windll
import keyboard
ImageFile.LOAD_TRUN... | 28.342733 | 206 | 0.602862 |
50931bed9cd1392a7f863a98489fd5085b08b152 | 6,603 | py | Python | microbit/microbit.py | whaleygeek/mb_acc | 7a914dd92aa98007320e741e1387c07a2609eba0 | [
"MIT"
] | 2 | 2016-11-22T15:46:01.000Z | 2020-07-14T21:49:18.000Z | microbit/microbit.py | whaleygeek/mb_acc | 7a914dd92aa98007320e741e1387c07a2609eba0 | [
"MIT"
] | null | null | null | microbit/microbit.py | whaleygeek/mb_acc | 7a914dd92aa98007320e741e1387c07a2609eba0 | [
"MIT"
] | null | null | null | # microbit.py 15/09/2015 D.J.Whale
"""A serial port connection to a micro:bit"""
# No specific protocol is implied by this interface.
# This just provides a generic transport adaptor to a micro:bit via pyserial
# This was cloned (as a starting point) from the mb_remote project.
# That project came originally f... | 31.146226 | 109 | 0.647887 |
650a8fb13783394e18330e64e9ac1b4a83d6c0e7 | 8,851 | py | Python | cifar/network-slimming/resprune.py | mmendiet/rethinking-network-pruning | b9509ed5e507e60b8c2ecc9884abb5f437a13902 | [
"MIT"
] | 2 | 2020-09-03T20:32:57.000Z | 2020-09-04T00:47:33.000Z | cifar/network-slimming/resprune.py | mmendiet/rethinking-network-pruning | b9509ed5e507e60b8c2ecc9884abb5f437a13902 | [
"MIT"
] | null | null | null | cifar/network-slimming/resprune.py | mmendiet/rethinking-network-pruning | b9509ed5e507e60b8c2ecc9884abb5f437a13902 | [
"MIT"
] | null | null | null | import argparse
import numpy as np
import os
import torch
import torch.nn as nn
from torch.autograd import Variable
from torchvision import datasets, transforms
from models import *
# Prune settings
parser = argparse.ArgumentParser(description='PyTorch Slimming CIFAR prune')
parser.add_argument('--dataset', type=st... | 40.231818 | 128 | 0.621851 |
6ad73f54932a2ad9ac791cb1b9746dd7ed18a96e | 1,022 | py | Python | mmselfsup/datasets/__init__.py | dungdinhanh/mmselfsup | 67fc764f4f5512701f93e8e1fa39e09ee008a54a | [
"Apache-2.0"
] | null | null | null | mmselfsup/datasets/__init__.py | dungdinhanh/mmselfsup | 67fc764f4f5512701f93e8e1fa39e09ee008a54a | [
"Apache-2.0"
] | null | null | null | mmselfsup/datasets/__init__.py | dungdinhanh/mmselfsup | 67fc764f4f5512701f93e8e1fa39e09ee008a54a | [
"Apache-2.0"
] | 1 | 2022-03-15T11:31:48.000Z | 2022-03-15T11:31:48.000Z | # Copyright (c) OpenMMLab. All rights reserved.
from .base import BaseDataset
from .builder import (DATASETS, DATASOURCES, PIPELINES, build_dataloader,
build_dataset, build_datasource)
from .data_sources import * # noqa: F401,F403
from .dataset_wrappers import ConcatDataset, RepeatDataset
from .d... | 46.454545 | 78 | 0.783757 |
1d770472a5a1056906acbe64d6cc3d5b343ffda2 | 1,388 | py | Python | reviews/urls.py | rodrigobmedeiros/bookr | 19984d6ee9b325e8d63fdee4185ab9a4fa0818b7 | [
"MIT"
] | null | null | null | reviews/urls.py | rodrigobmedeiros/bookr | 19984d6ee9b325e8d63fdee4185ab9a4fa0818b7 | [
"MIT"
] | null | null | null | reviews/urls.py | rodrigobmedeiros/bookr | 19984d6ee9b325e8d63fdee4185ab9a4fa0818b7 | [
"MIT"
] | null | null | null | """bookr URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/4.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based v... | 44.774194 | 95 | 0.706772 |
035d1094961935088baed15f7a429f9912cf50d3 | 499 | py | Python | vxsandbox/__init__.py | praekeltfoundation/vumi-sandbox | 1e2dfca8325ce98e52fe32a072749fe4cf7f448d | [
"BSD-3-Clause"
] | 1 | 2021-05-26T08:38:28.000Z | 2021-05-26T08:38:28.000Z | vxsandbox/__init__.py | praekelt/vumi-sandbox | 1e2dfca8325ce98e52fe32a072749fe4cf7f448d | [
"BSD-3-Clause"
] | 24 | 2015-03-04T08:33:12.000Z | 2016-08-18T07:57:12.000Z | vxsandbox/__init__.py | praekeltfoundation/vumi-sandbox | 1e2dfca8325ce98e52fe32a072749fe4cf7f448d | [
"BSD-3-Clause"
] | null | null | null | """ Sandbox application worker for Vumi. """
from .worker import Sandbox, JsSandbox, JsFileSandbox
from .utils import SandboxError
from .resources import (
SandboxResource, LoggingResource, HttpClientResource,
MetricsResource, OutboundResource, RedisResource)
__version__ = "0.6.2-alpha2"
__all__ = [
"San... | 31.1875 | 79 | 0.749499 |
86eaa9d8d1a9bc12bf16e2cc33bf49f4bec635f5 | 7,436 | py | Python | mms_tests/test_server.py | srault95/mongo-mail-server | aac2482fd7f211ff77f1097e1a2f20ebd8648abd | [
"BSD-3-Clause"
] | 11 | 2015-04-09T09:38:45.000Z | 2021-08-11T04:53:43.000Z | mms_tests/test_server.py | radical-software/mongo-mail-server | aac2482fd7f211ff77f1097e1a2f20ebd8648abd | [
"BSD-3-Clause"
] | 1 | 2018-03-11T09:18:19.000Z | 2018-03-11T09:18:19.000Z | mms_tests/test_server.py | srault95/mongo-mail-server | aac2482fd7f211ff77f1097e1a2f20ebd8648abd | [
"BSD-3-Clause"
] | 6 | 2017-05-10T07:56:23.000Z | 2019-07-29T07:13:00.000Z | # -*- coding: utf-8 -*-
from __future__ import print_function, unicode_literals
from contextlib import contextmanager
import os
import smtplib
from email.utils import getaddresses
import gevent
from mongo_mail_server import RecordPyMongoDBServer, uncompress, PYMONGO2
from . import utils
MSG1 = """X-Envelope-From:... | 28.933852 | 139 | 0.66326 |
f89c0172dc8f580ab98beb5d37ad8ff6dacf2e42 | 5,112 | py | Python | antipetros_discordbot/bot_support/sub_support/sub_support_helper/embed_schema.py | Preen1/Antipetros_Discord_Bot | 25143f09faf7abede35dee5672a7402595680e9b | [
"MIT"
] | null | null | null | antipetros_discordbot/bot_support/sub_support/sub_support_helper/embed_schema.py | Preen1/Antipetros_Discord_Bot | 25143f09faf7abede35dee5672a7402595680e9b | [
"MIT"
] | null | null | null | antipetros_discordbot/bot_support/sub_support/sub_support_helper/embed_schema.py | Preen1/Antipetros_Discord_Bot | 25143f09faf7abede35dee5672a7402595680e9b | [
"MIT"
] | null | null | null | """
[summary]
[extended_summary]
"""
# region [Imports]
# * Standard Library Imports ------------------------------------------------------------------------------------------------------------------------------------>
import gc
import os
import re
import sys
import json
import lzma
import time
import queue
import ... | 33.194805 | 162 | 0.662167 |
2c16c70dee4bee032886e97fda8be7f684d0ee20 | 6,633 | py | Python | cascaded_networks/models/densenet.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 23,901 | 2018-10-04T19:48:53.000Z | 2022-03-31T21:27:42.000Z | cascaded_networks/models/densenet.py | DionysisChristopoulos/google-research | 7f59ef421beef32ca16c2a7215be74f7eba01a0f | [
"Apache-2.0"
] | 891 | 2018-11-10T06:16:13.000Z | 2022-03-31T10:42:34.000Z | cascaded_networks/models/densenet.py | admariner/google-research | 7cee4b22b925581d912e8d993625c180da2a5a4f | [
"Apache-2.0"
] | 6,047 | 2018-10-12T06:31:02.000Z | 2022-03-31T13:59:28.000Z | # coding=utf-8
# Copyright 2021 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... | 32.199029 | 80 | 0.612393 |
83ee3b33281c98b4923c5f637c1b9dce1a21e6c4 | 4,397 | py | Python | courses/migrations/0001_initial.py | taufactor/tau-factor | d7883156bd9502742e0ad5c798fa1b2c38c7ff60 | [
"MIT"
] | null | null | null | courses/migrations/0001_initial.py | taufactor/tau-factor | d7883156bd9502742e0ad5c798fa1b2c38c7ff60 | [
"MIT"
] | null | null | null | courses/migrations/0001_initial.py | taufactor/tau-factor | d7883156bd9502742e0ad5c798fa1b2c38c7ff60 | [
"MIT"
] | 1 | 2021-05-18T19:01:14.000Z | 2021-05-18T19:01:14.000Z | # Generated by Django 3.2.3 on 2021-05-17 20:40
import courses.defines
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import enumchoicefield.fields
import re
import uuid
class Migration(migrations.Migration):
initial = True
dependencie... | 48.318681 | 217 | 0.585627 |
f20179e149de7378b7853ef89598c31eb3a0323f | 406,340 | py | Python | spambayes/windows/py2exe/gen_py/office-9.py | alexeip0/spambayes | 0c7d12cf4702ef82974ab16d2a36fa9ccedf185a | [
"PSF-2.0"
] | 13 | 2015-07-03T06:53:47.000Z | 2021-02-19T13:21:56.000Z | spambayes/windows/py2exe/gen_py/office-9.py | alexeip0/spambayes | 0c7d12cf4702ef82974ab16d2a36fa9ccedf185a | [
"PSF-2.0"
] | 5 | 2015-07-16T07:33:46.000Z | 2021-04-05T20:27:52.000Z | spambayes/windows/py2exe/gen_py/office-9.py | alexeip0/spambayes | 0c7d12cf4702ef82974ab16d2a36fa9ccedf185a | [
"PSF-2.0"
] | 20 | 2015-05-16T22:42:14.000Z | 2021-09-18T17:46:40.000Z | # -*- coding: mbcs -*-
# Created by makepy.py version 0.4.95
# By python version 2.4.4 (#71, Feb 5 2007, 15:24:39) [MSC v.1310 32 bit (Intel)]
# From type library 'MSO9.DLL'
# On Mon Mar 26 16:03:03 2007
"""Microsoft Office 9.0 Object Library"""
makepy_version = '0.4.95'
python_version = 0x20404f0
import win32com.cli... | 59.267795 | 208 | 0.605889 |
dd355351af2fb4eb004091caf096258d3a183c31 | 2,108 | py | Python | scripts/countit.py | dcdanko/capalyzer | 45f0283109542aaaecc5d28e800b819a0be62726 | [
"MIT"
] | 1 | 2019-11-22T16:37:34.000Z | 2019-11-22T16:37:34.000Z | scripts/countit.py | dcdanko/capalyzer | 45f0283109542aaaecc5d28e800b819a0be62726 | [
"MIT"
] | 9 | 2018-05-24T20:47:26.000Z | 2019-07-02T21:30:54.000Z | scripts/countit.py | dcdanko/capalyzer | 45f0283109542aaaecc5d28e800b819a0be62726 | [
"MIT"
] | null | null | null | """Count the total number of species found at given kmer thresholds.
Uses the output of a longform krakenhll summary file as input.
"""
import click
import pandas as pd
def get_kmer_counts(myfile):
tbl = {}
for line in myfile:
tkns = line.split(',')
sp = tkns[1]
k = int(tkns[7])
... | 25.707317 | 76 | 0.544592 |
61182dcafe94967f3d9f042d32c65a5ec8385f74 | 8,673 | py | Python | glhe/properties/fluid_properties.py | stianchris/GLHE | 80c3eecca81ffd50d5077f87027c9441292452f5 | [
"MIT"
] | 2 | 2018-11-06T08:04:04.000Z | 2020-10-09T14:52:36.000Z | glhe/properties/fluid_properties.py | stianchris/GLHE | 80c3eecca81ffd50d5077f87027c9441292452f5 | [
"MIT"
] | 68 | 2018-03-27T01:43:22.000Z | 2019-09-09T12:05:44.000Z | glhe/properties/fluid_properties.py | mitchute/GLHE | 80c3eecca81ffd50d5077f87027c9441292452f5 | [
"MIT"
] | 4 | 2018-05-24T03:02:44.000Z | 2021-08-16T13:54:09.000Z | from typing import Union
from CoolProp.CoolProp import PropsSI
from numpy import arange
from scipy.interpolate import interp1d
from glhe.properties.fluid_property_types import FluidPropertyType
from glhe.properties.fluid_types import FluidType
from glhe.utilities.functions import c_to_k, k_to_c
class Fluid(object):... | 35.987552 | 111 | 0.643145 |
c5d55a81e123885d5447f0687e197f0500b3fe8c | 4,855 | py | Python | benchmarks/run-benchmark.py | SimonYang-CS/delta | 6707b29f58a30989f40478ce40b3200c48bf37ce | [
"Apache-2.0"
] | null | null | null | benchmarks/run-benchmark.py | SimonYang-CS/delta | 6707b29f58a30989f40478ce40b3200c48bf37ce | [
"Apache-2.0"
] | null | null | null | benchmarks/run-benchmark.py | SimonYang-CS/delta | 6707b29f58a30989f40478ce40b3200c48bf37ce | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright (2021) The Delta Lake Project 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... | 38.84 | 139 | 0.688568 |
d1ee950665939790f52f662e2c705a46ae917d83 | 2,359 | py | Python | tensor2tensor/trax/models/__init__.py | vinhngx/tensor2tensor | d510c92f5da10c722d49b11ea298505865b348a7 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/trax/models/__init__.py | vinhngx/tensor2tensor | d510c92f5da10c722d49b11ea298505865b348a7 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/trax/models/__init__.py | vinhngx/tensor2tensor | d510c92f5da10c722d49b11ea298505865b348a7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 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... | 39.983051 | 78 | 0.825774 |
7136a24c32bddfa892803cc7b229d3448e353d38 | 857 | py | Python | medium/python/c0252_513_find-bottom-left-tree-value/00_leetcode_0252.py | drunkwater/leetcode | 8cc4a07763e71efbaedb523015f0c1eff2927f60 | [
"Ruby"
] | null | null | null | medium/python/c0252_513_find-bottom-left-tree-value/00_leetcode_0252.py | drunkwater/leetcode | 8cc4a07763e71efbaedb523015f0c1eff2927f60 | [
"Ruby"
] | null | null | null | medium/python/c0252_513_find-bottom-left-tree-value/00_leetcode_0252.py | drunkwater/leetcode | 8cc4a07763e71efbaedb523015f0c1eff2927f60 | [
"Ruby"
] | 3 | 2018-02-09T02:46:48.000Z | 2021-02-20T08:32:03.000Z | # DRUNKWATER TEMPLATE(add description and prototypes)
# Question Title and Description on leetcode.com
# Function Declaration and Function Prototypes on leetcode.com
#513. Find Bottom Left Tree Value
#Given a binary tree, find the leftmost value in the last row of the tree.
#Example 1:
#Input:
# 2
# / \
# 1 3
#... | 21.425 | 74 | 0.584597 |
68c5a9cbc40ed9200ef426c8603aefbfb7dbfd63 | 2,023 | py | Python | api/lookup/ingest/ncbitaxon_pathopheno.py | bio-ontology-research-group/phenotype-reactor | 9e42178399f5af52fdedb7f8a7c0b7bf6c044fd4 | [
"CC-BY-4.0"
] | null | null | null | api/lookup/ingest/ncbitaxon_pathopheno.py | bio-ontology-research-group/phenotype-reactor | 9e42178399f5af52fdedb7f8a7c0b7bf6c044fd4 | [
"CC-BY-4.0"
] | 19 | 2020-02-03T07:33:49.000Z | 2022-02-10T12:21:03.000Z | api/lookup/ingest/ncbitaxon_pathopheno.py | bio-ontology-research-group/phenotype-reactor | 9e42178399f5af52fdedb7f8a7c0b7bf6c044fd4 | [
"CC-BY-4.0"
] | null | null | null | import logging
import datetime
from api.ingest.source import Source
from api.rdf.namespace import PUBCHEM
import api.lookup.lookup_elasticsearch as lookup_es
import pandas as pd
logger = logging.getLogger(__name__)
class NCBITaxonPathophenoValueset(Source):
# Shrinked list of filtered ncbitaxon terms includ... | 36.125 | 110 | 0.651508 |
563e45da50f4b2a39a112256e16b7b876d463248 | 459 | py | Python | project-euler/completed/euler12.py | davidxmoody/kata | d88569584c2390da0e8127258d8751f8a47b7d83 | [
"MIT"
] | null | null | null | project-euler/completed/euler12.py | davidxmoody/kata | d88569584c2390da0e8127258d8751f8a47b7d83 | [
"MIT"
] | null | null | null | project-euler/completed/euler12.py | davidxmoody/kata | d88569584c2390da0e8127258d8751f8a47b7d83 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import math
def get_triangles():
i = 2
tri = 1
while True:
yield tri
tri += i
i += 1
def num_factors(n):
# Note that this will be off by one for 1 or for a square number.
result = 0
for i in range(1, math.floor(math.sqrt(n))+1):
if n%i==0... | 17.653846 | 69 | 0.542484 |
62b2fa2785429b29e37790817bb729556dde2ad2 | 5,852 | py | Python | scripts/createDDIsGraphfromCSV.py | UAMS-DBMI/dideo | de7f03573d20fb427546c02df59b2fbafff0b134 | [
"CC-BY-4.0"
] | 15 | 2015-07-02T14:38:37.000Z | 2021-12-29T00:10:52.000Z | scripts/createDDIsGraphfromCSV.py | UAMS-DBMI/dideo | de7f03573d20fb427546c02df59b2fbafff0b134 | [
"CC-BY-4.0"
] | 18 | 2016-02-04T20:29:28.000Z | 2021-06-15T10:06:08.000Z | scripts/createDDIsGraphfromCSV.py | UAMS-DBMI/dideo | de7f03573d20fb427546c02df59b2fbafff0b134 | [
"CC-BY-4.0"
] | 7 | 2017-06-02T15:05:35.000Z | 2021-11-05T01:47:31.000Z | ## Script createDDIsGraphfromCSV.py reads drug-drug interactions in csv and creates a sample RDF graph wihich can be used for compose competency queries
## output graph will be generate in data folder
## Author: Yifan Ning, DBMI, University of Pittsburgh
## Date: 01/23/2014
import sys
sys.path = sys.path + ['.']
imp... | 38 | 768 | 0.656528 |
081fc2eeadc736ef4905cca8e62dedf87b9f9afb | 2,370 | py | Python | tensorflow_graphics/rendering/voxels/tests/visual_hull_test.py | ghosalsattam/graphics | 946aa03b5178d2fc557a81045b84df24af322afd | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/rendering/voxels/tests/visual_hull_test.py | ghosalsattam/graphics | 946aa03b5178d2fc557a81045b84df24af322afd | [
"Apache-2.0"
] | null | null | null | tensorflow_graphics/rendering/voxels/tests/visual_hull_test.py | ghosalsattam/graphics | 946aa03b5178d2fc557a81045b84df24af322afd | [
"Apache-2.0"
] | 1 | 2020-06-04T23:24:40.000Z | 2020-06-04T23:24:40.000Z | # Copyright 2020 The TensorFlow 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to i... | 34.347826 | 95 | 0.762025 |
f015dba5ac8086bdb66f468c39e8a403d9fb9131 | 2,581 | py | Python | BusPirate 2017-02-04 i2c ms5661 pressure/busPirate_ms5661.py | swharden/AVR-projects | 3a65c5280572e6567f54fa6be61383e1dbf9b29a | [
"MIT"
] | 121 | 2016-09-07T07:56:35.000Z | 2022-03-26T18:27:13.000Z | BusPirate 2017-02-04 i2c temperature/busPirate_LM75A.py | NahlaHussien/AVR-projects | 68593c0e55304aa7fef8c00d36860f8b867c8c98 | [
"MIT"
] | 2 | 2019-07-03T12:47:50.000Z | 2020-08-31T23:12:00.000Z | BusPirate 2017-02-04 i2c ms5661 pressure/busPirate_ms5661.py | swharden/AVR-projects | 3a65c5280572e6567f54fa6be61383e1dbf9b29a | [
"MIT"
] | 55 | 2016-09-29T17:59:25.000Z | 2022-03-24T19:28:33.000Z | """python3 control of buspirate (SWHarden.com)"""
import serial
import matplotlib.pyplot as plt
BUSPIRATE_PORT = 'com3' #customize this! Find it in device manager.
def send(ser,cmd,silent=False):
"""
send the command and listen to the response.
returns a list of the returned lines.
The first item is... | 32.670886 | 73 | 0.621465 |
b7356feed5edd009a9c4fe494eb7761daecc50b6 | 8,314 | py | Python | python/DeepLearning/lesson1/week4/my_main.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 1 | 2019-05-22T07:12:34.000Z | 2019-05-22T07:12:34.000Z | python/DeepLearning/lesson1/week4/my_main.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | 3 | 2021-12-10T01:13:54.000Z | 2021-12-14T21:18:42.000Z | python/DeepLearning/lesson1/week4/my_main.py | TimVan1596/ACM-ICPC | 07f7d728db1ecd09c5a3d0f05521930b14eb9883 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import numpy.random
import matplotlib.pyplot as plt
import random
import lr_utils # 参见资料包，或者在文章底部copy
# 设置常量
# 激活函数的标识字符串
SIGMOID_NAME = 'sigmoid'
TANH_NAME = 'tanh'
# 激活函数
# def sigmoid(x):
# return 1 / (1 + np.exp(-x))
def sigmoid(x):
s = 1 / (1 + np.exp(-x))
return s
# 深层神经网络主驱动
... | 25.581538 | 97 | 0.532115 |
9256cde1a237a1c0b2b686bf71788a4c64767c92 | 8,769 | py | Python | fpga/lib/axi/tb/axi_register/test_axi_register.py | giraypultar/corundum | 67ae5160471c41ac316b50db88604ef52f9285ba | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2021-07-27T10:20:42.000Z | 2021-07-27T10:20:42.000Z | tb/axi_register/test_axi_register.py | markkknd/verilog-axi | bf2a779e484880f4941b223436a45fd440cded45 | [
"MIT"
] | null | null | null | tb/axi_register/test_axi_register.py | markkknd/verilog-axi | bf2a779e484880f4941b223436a45fd440cded45 | [
"MIT"
] | 1 | 2021-07-27T10:20:24.000Z | 2021-07-27T10:20:24.000Z | """
Copyright (c) 2020 Alex Forencich
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute... | 33.726923 | 109 | 0.682974 |
b57a0bb070c35b3c91ccf29effbe2b138cc2dd4f | 527 | py | Python | tests/test_filters.py | Edinburgh-Genome-Foundry/DnaCauldron | ef1d525f2627163414b94e4fee05911634738bdf | [
"MIT"
] | 30 | 2018-05-09T14:59:03.000Z | 2022-01-08T19:00:23.000Z | tests/test_filters.py | e-tomato/DnaCauldron | 5208b962e15ff2091d65df1f9be3e429cc559e08 | [
"MIT"
] | 12 | 2018-07-04T12:34:57.000Z | 2021-12-16T11:53:13.000Z | tests/test_filters.py | e-tomato/DnaCauldron | 5208b962e15ff2091d65df1f9be3e429cc559e08 | [
"MIT"
] | 7 | 2017-12-13T14:33:18.000Z | 2021-03-01T08:08:57.000Z | import dnacauldron as dc
def test_filters():
to_record = dc.sequence_to_biopython_record
filter1 = dc.NoRestrictionSiteFilter("BsmBI")
assert filter1(to_record("ATGATGATG"))
assert not filter1(to_record("ACGTCTCTTG"))
assert not filter1(to_record("ACGGAGACGG"))
filter2 = dc.TextSearchFilter("... | 35.133333 | 75 | 0.734345 |
903a266275175e3ce23a6a83f0b3a88fe9b50fa0 | 15,544 | py | Python | samples/brats/brats.py | fabianlohrmann1993/Mask_R-CNN_for_BraTS_dataset | 7ca01bf54582708733e92e2dc9f2f5ab2354a6c3 | [
"MIT"
] | null | null | null | samples/brats/brats.py | fabianlohrmann1993/Mask_R-CNN_for_BraTS_dataset | 7ca01bf54582708733e92e2dc9f2f5ab2354a6c3 | [
"MIT"
] | null | null | null | samples/brats/brats.py | fabianlohrmann1993/Mask_R-CNN_for_BraTS_dataset | 7ca01bf54582708733e92e2dc9f2f5ab2354a6c3 | [
"MIT"
] | null | null | null | """
Mask R-CNN
Configurations and data loading code for MS COCO.
Copyright (c) 2017 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
------------------------------------------------------------
Usage: import the module (see Jupyter notebooks for examples), or run fr... | 30.964143 | 124 | 0.580739 |
21c76a2ebbd278c32a9d58b53d599c5414d390c6 | 753 | py | Python | pyrelease/licenses/LGPL_2.py | pyrelease/PyRelease | 0f8fac5dd19bd50fed047a9570bcd05101b50d08 | [
"MIT"
] | 1 | 2018-07-19T20:38:18.000Z | 2018-07-19T20:38:18.000Z | pyrelease/licenses/LGPL_2.py | pyrelease/pyrelease | 0f8fac5dd19bd50fed047a9570bcd05101b50d08 | [
"MIT"
] | null | null | null | pyrelease/licenses/LGPL_2.py | pyrelease/pyrelease | 0f8fac5dd19bd50fed047a9570bcd05101b50d08 | [
"MIT"
] | null | null | null | TEMPLATE = """{name} Copyright (C) {year} {author}
This library is free software; you can redistribute it and/or
modify it under the terms of the GNU Lesser General Public
License as published by the Free Software Foundation; either
version 2.1 of the License, or (at your option) any later version.
This library is di... | 44.294118 | 66 | 0.783533 |
12ef511c2d2646910bd35e7164f60b8404a2e527 | 1,364 | py | Python | workon/utils/__init__.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/utils/__init__.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null | workon/utils/__init__.py | dalou/django-workon | ef63c0a81c00ef560ed693e435cf3825f5170126 | [
"BSD-3-Clause"
] | null | null | null |
from .cache import *
from .color import *
from .crypt import *
from .date import *
from .debug import *
from .emails import *
from .file import *
from .geo import *
from .image import *
from .number import *
from .opengraph import *
from .pagination import *
from .phone import *
from .rss import *
from .string import ... | 27.28 | 83 | 0.714076 |
b02bb5f478ddb81d23e92ab12b18be2005d6f5e5 | 41,423 | py | Python | nova/tests/api/openstack/compute/plugins/v3/test_server_actions.py | vasart/nova | bca5004d367e0418e35f8a72fe0f2e106e977ab0 | [
"Apache-2.0"
] | 1 | 2021-09-10T15:29:02.000Z | 2021-09-10T15:29:02.000Z | nova/tests/api/openstack/compute/plugins/v3/test_server_actions.py | PFZheng/nova | 84be8abbccb5ddc2d7c5a7db59019ed1edb19e7f | [
"Apache-2.0"
] | null | null | null | nova/tests/api/openstack/compute/plugins/v3/test_server_actions.py | PFZheng/nova | 84be8abbccb5ddc2d7c5a7db59019ed1edb19e7f | [
"Apache-2.0"
] | null | null | null | # Copyright 2011 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
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 38.568901 | 79 | 0.588489 |
bdc6dd7ae09865cf5fb11322e379802df0b3d016 | 9,871 | py | Python | syndicate/core/conf/processor.py | epam/aws-syndicate | 3f95c645602c1196fa155a939f3d16ffc0d93021 | [
"Apache-2.0"
] | 52 | 2018-09-14T10:00:38.000Z | 2022-02-15T12:22:44.000Z | syndicate/core/conf/processor.py | epam/aws-syndicate | 3f95c645602c1196fa155a939f3d16ffc0d93021 | [
"Apache-2.0"
] | 69 | 2019-03-27T13:06:05.000Z | 2022-03-04T11:26:57.000Z | syndicate/core/conf/processor.py | epam/aws-syndicate | 3f95c645602c1196fa155a939f3d16ffc0d93021 | [
"Apache-2.0"
] | 8 | 2019-02-07T12:37:49.000Z | 2021-01-22T08:43:35.000Z | """
Copyright 2018 EPAM Systems, 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... | 34.879859 | 78 | 0.621214 |
b27920769bc6abca6422f95179e19131c2d9b472 | 2,619 | py | Python | torchtext/datasets/yelpreviewfull.py | LaudateCorpus1/text-1 | 8808e7eee5a2df79b9566a4a348889dc2722fcfb | [
"BSD-3-Clause"
] | null | null | null | torchtext/datasets/yelpreviewfull.py | LaudateCorpus1/text-1 | 8808e7eee5a2df79b9566a4a348889dc2722fcfb | [
"BSD-3-Clause"
] | null | null | null | torchtext/datasets/yelpreviewfull.py | LaudateCorpus1/text-1 | 8808e7eee5a2df79b9566a4a348889dc2722fcfb | [
"BSD-3-Clause"
] | null | null | null | import os
from typing import Union, Tuple
from torchtext._internal.module_utils import is_module_available
from torchtext.data.datasets_utils import (
_wrap_split_argument,
_create_dataset_directory,
)
if is_module_available("torchdata"):
from torchdata.datapipes.iter import FileOpener, GDriveReader, Iter... | 32.333333 | 119 | 0.710577 |
9c9339cd190ac297ca609cc1eeb1a1e539d2b4ea | 795 | py | Python | candrani/urls.py | CandraniSriMurtono/CandraniSriMurtono | 3353fb095a24ad1120304b77d1f7040413043607 | [
"Unlicense"
] | null | null | null | candrani/urls.py | CandraniSriMurtono/CandraniSriMurtono | 3353fb095a24ad1120304b77d1f7040413043607 | [
"Unlicense"
] | null | null | null | candrani/urls.py | CandraniSriMurtono/CandraniSriMurtono | 3353fb095a24ad1120304b77d1f7040413043607 | [
"Unlicense"
] | null | null | null | """candrani URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/3.2/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-base... | 34.565217 | 77 | 0.701887 |
fe453ac9cad8ee90d4452e04cc46a92425c291e2 | 2,075 | py | Python | hata/ext/management/create_project.py | catzoo/hata | 49a55f4e02f4f8b5f3adcebc51952b612b4acb73 | [
"0BSD"
] | 173 | 2019-06-14T20:25:00.000Z | 2022-03-21T19:36:10.000Z | hata/ext/management/create_project.py | catzoo/hata | 49a55f4e02f4f8b5f3adcebc51952b612b4acb73 | [
"0BSD"
] | 52 | 2020-01-03T17:05:14.000Z | 2022-03-31T11:39:50.000Z | hata/ext/management/create_project.py | catzoo/hata | 49a55f4e02f4f8b5f3adcebc51952b612b4acb73 | [
"0BSD"
] | 47 | 2019-11-09T08:46:45.000Z | 2022-03-31T14:33:34.000Z | from os.path import abspath as get_absolute_path, join as join_paths, exists, isdir as is_directory, \
isfile as is_file, getcwd as get_current_working_directory
from os import makedirs as make_directories
from dotenv import dotenv_values as load_into_dictionary
from .utils import render_exception, create_file_st... | 28.819444 | 111 | 0.713735 |
ea88a72b418ed492416e785c901fdbb0cbd66199 | 5,591 | py | Python | oasislmf/exposures/pipeline.py | jonathanbethel/OasisLMF | 7dfbbd237580d36f4b209a5e4494d21d7950e668 | [
"BSD-3-Clause"
] | 1 | 2019-08-10T18:53:53.000Z | 2019-08-10T18:53:53.000Z | oasislmf/exposures/pipeline.py | jonathanbethel/OasisLMF | 7dfbbd237580d36f4b209a5e4494d21d7950e668 | [
"BSD-3-Clause"
] | null | null | null | oasislmf/exposures/pipeline.py | jonathanbethel/OasisLMF | 7dfbbd237580d36f4b209a5e4494d21d7950e668 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
__all__ = [
'OasisFilesPipeline'
]
class OasisFilesPipeline(object):
def __init__(
self,
model_key=None,
source_exposures_file_path=None,
canonical_exposures_file_path=None,
model_exposures_file_path=None,
keys_file_path=None,
ke... | 29.272251 | 85 | 0.634234 |
42c3b23a535291a97ec7665faa695fd90857d0e9 | 513 | py | Python | 258_addDigits.py | stuti-rastogi/leetcode-python-solutions | 73593fe642a06a83cde974ba5e6de3a7b396ec84 | [
"MIT"
] | 4 | 2018-07-24T08:36:42.000Z | 2019-08-25T17:48:47.000Z | 258_addDigits.py | stuti-rastogi/leetcodesolutions | 73593fe642a06a83cde974ba5e6de3a7b396ec84 | [
"MIT"
] | null | null | null | 258_addDigits.py | stuti-rastogi/leetcodesolutions | 73593fe642a06a83cde974ba5e6de3a7b396ec84 | [
"MIT"
] | null | null | null | class Solution(object):
def addDigits(self, num):
"""
:type num: int
:rtype: int
"""
# https://en.wikipedia.org/wiki/Digital_root#Congruence_formula
if num == 0:
return 0
else:
return (num-1)%9 + 1
# while True:
# n... | 24.428571 | 71 | 0.382066 |
be7896974671161b12538792e24fe5b61f5cacdd | 3,559 | py | Python | bindings/python/ensmallen/datasets/string/thiomicrospirapelophila.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen/datasets/string/thiomicrospirapelophila.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/thiomicrospirapelophila.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Thiomicrospira pelophila.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
title={STRING v11: protein--prote... | 32.953704 | 223 | 0.678561 |
fa7d2741edd56c9f8c2eb32f7a4d0f612c8052bb | 1,303 | py | Python | example/session/main.py | theoohoho/authx | 5c79983cedd4f33fe4c6c3d744c6857f830653fc | [
"MIT"
] | 141 | 2021-11-08T18:59:57.000Z | 2022-03-31T18:49:23.000Z | example/session/main.py | theoohoho/authx | 5c79983cedd4f33fe4c6c3d744c6857f830653fc | [
"MIT"
] | 85 | 2021-11-08T17:30:08.000Z | 2022-03-24T18:23:51.000Z | example/session/main.py | theoohoho/authx | 5c79983cedd4f33fe4c6c3d744c6857f830653fc | [
"MIT"
] | 15 | 2021-11-09T00:01:13.000Z | 2022-03-26T20:25:18.000Z | import random
from datetime import timedelta
from typing import Any
from fastapi import Depends, FastAPI, Request, Response
from starlette.config import Config
from authx.cache import basicConfig
from authx.core import (
SessionStorage,
deleteSession,
getSession,
getSessionId,
getSessionStorage,
... | 23.690909 | 73 | 0.742134 |
aac878e5b6c0b3ef0a08179e01435a0d0149a764 | 1,820 | py | Python | pdia/utils/durSinceBlockStart.py | yangjiang001/pdia-1 | 8dcd0960bf2e540f11cd37ccb92cbac1bbd51368 | [
"MIT"
] | null | null | null | pdia/utils/durSinceBlockStart.py | yangjiang001/pdia-1 | 8dcd0960bf2e540f11cd37ccb92cbac1bbd51368 | [
"MIT"
] | null | null | null | pdia/utils/durSinceBlockStart.py | yangjiang001/pdia-1 | 8dcd0960bf2e540f11cd37ccb92cbac1bbd51368 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
# get global logger
# logger = logging.getLogger('pdia')
def durSinceBlockStart(x,
timestamp="EventTime",
durSinceBlockStart="durSinceBlockStart"):
"""
Given a data frame of a single block of keystroke logs, add a column that... | 41.363636 | 108 | 0.682967 |
f4b13606194d6d4603f7d2cccd079ff797159b65 | 627 | py | Python | tests/old_suite/basic/pkg2/a.py | yoda-vid/pyinstaller | 419f349dad721a253b19d9c596e251818132d6ba | [
"Apache-2.0"
] | 2 | 2017-02-08T22:22:09.000Z | 2020-10-08T12:28:36.000Z | tests/old_suite/basic/pkg2/a.py | 416426/pyinstaller | 0f2b2e921433ab5a510c7efdb21d9c1d7cfbc645 | [
"Apache-2.0"
] | 3 | 2020-04-06T15:48:37.000Z | 2021-03-23T10:22:21.000Z | tests/old_suite/basic/pkg2/a.py | 416426/pyinstaller | 0f2b2e921433ab5a510c7efdb21d9c1d7cfbc645 | [
"Apache-2.0"
] | 4 | 2018-06-04T20:40:37.000Z | 2020-10-13T22:38:40.000Z | #-----------------------------------------------------------------------------
# Copyright (c) 2013-2021, PyInstaller Development Team.
#
# Distributed under the terms of the GNU General Public License (version 2
# or later) with exception for distributing the bootloader.
#
# The full license is in the file COPYING.txt... | 33 | 78 | 0.556619 |
64525570efeeddc618cf80081ed4491cf2b6117d | 100,728 | py | Python | pyhanko/pdf_utils/crypt.py | peteris-zealid/pyHanko | 414b3156b8853840b31cf0c3dd50654c868c6ba5 | [
"MIT"
] | null | null | null | pyhanko/pdf_utils/crypt.py | peteris-zealid/pyHanko | 414b3156b8853840b31cf0c3dd50654c868c6ba5 | [
"MIT"
] | null | null | null | pyhanko/pdf_utils/crypt.py | peteris-zealid/pyHanko | 414b3156b8853840b31cf0c3dd50654c868c6ba5 | [
"MIT"
] | null | null | null | """
.. versionchanged:: 0.3.0
Added support for PDF 2.0 encryption standards and crypt filters.
Utilities for PDF encryption. This module covers all methods outlined in the
standard:
* Legacy RC4-based encryption (based on PyPDF2 code).
* AES-128 encryption with legacy key derivation (partly based on PyPDF2 code)... | 37.169004 | 85 | 0.637549 |
ad37c6232e4823064d134a43360466d19a8a9f2d | 2,248 | py | Python | setup.py | andriyor/django-configurations | 141d8ef2c4165d2686f8316827eda49f0eefb1b4 | [
"BSD-3-Clause"
] | 126 | 2015-01-07T10:46:09.000Z | 2015-12-13T07:22:53.000Z | setup.py | andriyor/django-configurations | 141d8ef2c4165d2686f8316827eda49f0eefb1b4 | [
"BSD-3-Clause"
] | 58 | 2015-01-05T10:17:39.000Z | 2015-12-07T06:37:01.000Z | setup.py | andriyor/django-configurations | 141d8ef2c4165d2686f8316827eda49f0eefb1b4 | [
"BSD-3-Clause"
] | 44 | 2015-01-07T14:28:22.000Z | 2015-12-14T01:04:18.000Z | import os
import codecs
from setuptools import setup
def read(*parts):
filename = os.path.join(os.path.dirname(__file__), *parts)
with codecs.open(filename, encoding='utf-8') as fp:
return fp.read()
setup(
name="django-configurations",
use_scm_version={"version_scheme": "post-release", "loca... | 32.57971 | 84 | 0.579626 |
57078cea26a004d1a4aa34d05c3a626367b2c91a | 5,624 | py | Python | TheCenterServer/TheCenterServer/plugins/example-python/TheCenterAPI/APIServer.py | dicarne/the-center | f80fbe53b42263c54d0066a8ee9695d013fe2feb | [
"MIT"
] | null | null | null | TheCenterServer/TheCenterServer/plugins/example-python/TheCenterAPI/APIServer.py | dicarne/the-center | f80fbe53b42263c54d0066a8ee9695d013fe2feb | [
"MIT"
] | null | null | null | TheCenterServer/TheCenterServer/plugins/example-python/TheCenterAPI/APIServer.py | dicarne/the-center | f80fbe53b42263c54d0066a8ee9695d013fe2feb | [
"MIT"
] | null | null | null | from TheCenterAPI.ServerData import BoardDesc, WorkspaceDesc
from typing import Any, Callable, Dict, List, TypeVar
from TheCenterAPI.BaseUICom import UIBase, UIEventReqBody
from fastapi import FastAPI
import uvicorn
import json
import requests
app = FastAPI()
def Run():
config = json.load(open("pmodule.json"))
... | 26.909091 | 99 | 0.592994 |
7775690cc307c69926ef88fff0b0bd3af2f62970 | 2,470 | py | Python | aliyun-python-sdk-dds/aliyunsdkdds/request/v20151201/DestroyInstanceRequest.py | liumihust/aliyun-openapi-python-sdk | c7b5dd4befae4b9c59181654289f9272531207ef | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-dds/aliyunsdkdds/request/v20151201/DestroyInstanceRequest.py | liumihust/aliyun-openapi-python-sdk | c7b5dd4befae4b9c59181654289f9272531207ef | [
"Apache-2.0"
] | null | null | null | aliyun-python-sdk-dds/aliyunsdkdds/request/v20151201/DestroyInstanceRequest.py | liumihust/aliyun-openapi-python-sdk | c7b5dd4befae4b9c59181654289f9272531207ef | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 34.305556 | 74 | 0.773279 |
9716a05d442a16dcaa680bda992fdc3ba2b81acb | 51,365 | py | Python | gptf/core/params.py | sanket-kamthe/gptf | 7db86b8a608f9ca45548c4e2c9fcb5f48daf9187 | [
"MIT"
] | 1 | 2019-08-28T11:55:49.000Z | 2019-08-28T11:55:49.000Z | gptf/core/params.py | sanket-kamthe/gptf | 7db86b8a608f9ca45548c4e2c9fcb5f48daf9187 | [
"MIT"
] | null | null | null | gptf/core/params.py | sanket-kamthe/gptf | 7db86b8a608f9ca45548c4e2c9fcb5f48daf9187 | [
"MIT"
] | 2 | 2017-05-13T21:15:07.000Z | 2019-11-19T18:15:10.000Z | # -*- encoding: utf-8 -*-
"""Provides classes that deal with the fetching as setting of parameters."""
from builtins import super, object, filter, map, range
from future.utils import with_metaclass
from abc import ABCMeta, abstractmethod
from collections import namedtuple
from functools import wraps
import os
import gc... | 35.399724 | 86 | 0.557422 |
b27d0acacb52288538b3b6fd07de2611d38c2b4c | 9,374 | py | Python | tests/test_stormtrack/test_core/test_features/data/circle_on_globe_clat-80_rad-800_delta-0.5_pyproj.py | ruestefa/stormtrack | e9378f013c406d387ea944c97e5adc68df864dee | [
"MIT"
] | null | null | null | tests/test_stormtrack/test_core/test_features/data/circle_on_globe_clat-80_rad-800_delta-0.5_pyproj.py | ruestefa/stormtrack | e9378f013c406d387ea944c97e5adc68df864dee | [
"MIT"
] | 2 | 2021-01-06T17:37:42.000Z | 2021-02-05T18:40:52.000Z | tests/test_stormtrack/test_core/test_features/data/circle_on_globe_clat-80_rad-800_delta-0.5_pyproj.py | ruestefa/stormtrack | e9378f013c406d387ea944c97e5adc68df864dee | [
"MIT"
] | null | null | null | import numpy as np
# fmt: off
clon, clat = 0.0, 80.0
rad_km = 800.0
area_km2 = np.pi*rad_km**2
nlat, nlon = 31, 145
lat1d = np.linspace(72.5, 87.5, nlat)
lon1d = np.linspace(-36.0, 36.0, nlon)
lat2d, lon2d = np.meshgrid(lat1d, lon1d)
_, X = 0, 1
mask = np.array([
[_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_,_... | 195.291667 | 292 | 0.498613 |
9ed417d3ae2d53c8e857977902f54055fb2ba1c5 | 2,218 | py | Python | lib/ansiblelint/rules/EnvVarsInCommandRule.py | webknjaz/ansible-lint | 4232ff0718a4b000a227ac4df4c16fc7125c5583 | [
"MIT"
] | null | null | null | lib/ansiblelint/rules/EnvVarsInCommandRule.py | webknjaz/ansible-lint | 4232ff0718a4b000a227ac4df4c16fc7125c5583 | [
"MIT"
] | null | null | null | lib/ansiblelint/rules/EnvVarsInCommandRule.py | webknjaz/ansible-lint | 4232ff0718a4b000a227ac4df4c16fc7125c5583 | [
"MIT"
] | null | null | null | # Copyright (c) 2016 Will Thames <will@thames.id.au>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, mer... | 47.191489 | 82 | 0.69477 |
78c8f179e4893595b0db88f4c3eb9715b61f55de | 3,774 | py | Python | ctapipe/image/morphology.py | LukasNickel/ctapipe | 8c02fb772ec54c200b69721baf9ef20f590cd749 | [
"BSD-3-Clause"
] | null | null | null | ctapipe/image/morphology.py | LukasNickel/ctapipe | 8c02fb772ec54c200b69721baf9ef20f590cd749 | [
"BSD-3-Clause"
] | null | null | null | ctapipe/image/morphology.py | LukasNickel/ctapipe | 8c02fb772ec54c200b69721baf9ef20f590cd749 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
from scipy.sparse.csgraph import connected_components
from ..containers import MorphologyContainer
def number_of_islands(geom, mask):
"""
Search a given pixel mask for connected clusters.
This can be used to seperate between gamma and hadronic showers.
Parameters
----------
... | 29.716535 | 89 | 0.691309 |
98d7be7f82337968c48a932057a6e49222e532ae | 1,926 | py | Python | tflite_tools/tflite/BuiltinOperator.py | wxbbuaa2011/tflite-tools | d1d90e33dd7df51ba26891a440c05d68129d4279 | [
"MIT"
] | 1 | 2019-10-30T00:52:21.000Z | 2019-10-30T00:52:21.000Z | tflite_tools/tflite/BuiltinOperator.py | wxbbuaa2011/tflite-tools | d1d90e33dd7df51ba26891a440c05d68129d4279 | [
"MIT"
] | null | null | null | tflite_tools/tflite/BuiltinOperator.py | wxbbuaa2011/tflite-tools | d1d90e33dd7df51ba26891a440c05d68129d4279 | [
"MIT"
] | null | null | null | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite
class BuiltinOperator(object):
ADD = 0
AVERAGE_POOL_2D = 1
CONCATENATION = 2
CONV_2D = 3
DEPTHWISE_CONV_2D = 4
DEQUANTIZE = 6
EMBEDDING_LOOKUP = 7
FLOOR = 8
FULLY_CONNECTED = 9
HASHTABLE_LO... | 19.069307 | 68 | 0.596573 |
1357986f64bea0cdaba0f579918dff6570cbdf4e | 3,423 | py | Python | VoxCelebDataset.py | akaver/speaker-embed-augm | eef03926d1bc18a2463260b3bc4a7c12c624fee6 | [
"Apache-2.0"
] | null | null | null | VoxCelebDataset.py | akaver/speaker-embed-augm | eef03926d1bc18a2463260b3bc4a7c12c624fee6 | [
"Apache-2.0"
] | null | null | null | VoxCelebDataset.py | akaver/speaker-embed-augm | eef03926d1bc18a2463260b3bc4a7c12c624fee6 | [
"Apache-2.0"
] | null | null | null | import torch
import utils
import random
import logging
import sys
import json
import numpy as np
from utils import parse_arguments
from hyperpyyaml import load_hyperpyyaml
logger = logging.getLogger(__name__)
class VoxCelebDataset(torch.utils.data.Dataset):
def __init__(self, hparams, csv_data_file):
sup... | 30.837838 | 118 | 0.635115 |
39f60f3963db44db39a379e682e888ed332580d8 | 9,281 | py | Python | src/python/metrics/fuzzer_stats_schema.py | tapaswenipathak/clusterfuzz | a5468fc736ee42af9e2dd63e24c22ae2c3ac1662 | [
"Apache-2.0"
] | null | null | null | src/python/metrics/fuzzer_stats_schema.py | tapaswenipathak/clusterfuzz | a5468fc736ee42af9e2dd63e24c22ae2c3ac1662 | [
"Apache-2.0"
] | null | null | null | src/python/metrics/fuzzer_stats_schema.py | tapaswenipathak/clusterfuzz | a5468fc736ee42af9e2dd63e24c22ae2c3ac1662 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 21.286697 | 74 | 0.540351 |
ef8e3b1c664fda8e75552d639f1ced960d37eb1c | 8,314 | py | Python | infra/gcb/build.py | haberman/oss-fuzz | 337187317e6dca079479010d433d64485ebcb4a4 | [
"Apache-2.0"
] | null | null | null | infra/gcb/build.py | haberman/oss-fuzz | 337187317e6dca079479010d433d64485ebcb4a4 | [
"Apache-2.0"
] | null | null | null | infra/gcb/build.py | haberman/oss-fuzz | 337187317e6dca079479010d433d64485ebcb4a4 | [
"Apache-2.0"
] | 1 | 2018-09-20T20:32:08.000Z | 2018-09-20T20:32:08.000Z | #!/usr/bin/python2
"""Starts project build on Google Cloud Builder.
Usage: build.py <project_dir>
"""
import base64
import collections
import datetime
import os
import re
import subprocess
import sys
import time
import urllib
import yaml
from oauth2client.client import GoogleCredentials
from oauth2client.service_ac... | 29.378092 | 127 | 0.611258 |
c4bdc81d6f4e0f1f8be52563670cdfddc82b2925 | 6,896 | py | Python | batch_rl/fixed_replay/replay_memory/fixed_replay_buffer.py | ShapRL/ShapRL | 11327bb5e3b2f2e6ac3a631097bd712f13b9d275 | [
"Apache-2.0"
] | null | null | null | batch_rl/fixed_replay/replay_memory/fixed_replay_buffer.py | ShapRL/ShapRL | 11327bb5e3b2f2e6ac3a631097bd712f13b9d275 | [
"Apache-2.0"
] | null | null | null | batch_rl/fixed_replay/replay_memory/fixed_replay_buffer.py | ShapRL/ShapRL | 11327bb5e3b2f2e6ac3a631097bd712f13b9d275 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 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... | 37.68306 | 108 | 0.701856 |
ed8f76485d289e23f9982704ffd2af310749c83e | 1,913 | py | Python | old_py2/consts/district_type.py | ofekashery/the-blue-alliance | df0e47d054161fe742ac6198a6684247d0713279 | [
"MIT"
] | 266 | 2015-01-04T00:10:48.000Z | 2022-03-28T18:42:05.000Z | consts/district_type.py | gregmarra/the-blue-alliance | 5bedaf5c80b4623984760d3da3289640639112f9 | [
"MIT"
] | 2,673 | 2015-01-01T20:14:33.000Z | 2022-03-31T18:17:16.000Z | consts/district_type.py | gregmarra/the-blue-alliance | 5bedaf5c80b4623984760d3da3289640639112f9 | [
"MIT"
] | 230 | 2015-01-04T00:10:48.000Z | 2022-03-26T18:12:04.000Z | class DistrictType(object):
"""
Constants for what district an Event is a part of
"""
# Event is not a district event
NO_DISTRICT = 0
MICHIGAN = 1
MID_ATLANTIC = 2
NEW_ENGLAND = 3
PACIFIC_NORTHWEST = 4
INDIANA = 5
CHESAPEAKE = 6
NORTH_CAROLINA = 7
GEORGIA = 8
ONT... | 25.171053 | 53 | 0.556717 |
68d68f1542202e57a4e6d5237d0d5ef0f849da8f | 3,757 | py | Python | soundrts/lib/bindings.py | Finnboy94/soundrts | 284ffe2c507f4c9e44b4e5fa8c4ef05b6614c6c6 | [
"BSD-3-Clause"
] | 23 | 2015-04-02T16:54:08.000Z | 2022-03-02T09:48:04.000Z | soundrts/lib/bindings.py | Finnboy94/soundrts | 284ffe2c507f4c9e44b4e5fa8c4ef05b6614c6c6 | [
"BSD-3-Clause"
] | 94 | 2015-03-25T21:05:45.000Z | 2021-12-22T20:05:42.000Z | soundrts/lib/bindings.py | TifloDev/soundrts | 209695ed80b8746facdcb35f446f0f855c48da84 | [
"BSD-3-Clause"
] | 33 | 2015-05-27T05:53:14.000Z | 2021-12-08T02:45:44.000Z | import re
import pygame
from pygame import (
K_LALT,
K_LCTRL,
K_LSHIFT,
K_RALT,
K_RCTRL,
K_RSHIFT,
KMOD_ALT,
KMOD_CTRL,
KMOD_SHIFT,
)
from .log import warning
class _Error(Exception):
pass
_allowed_mods = ("CTRL", "ALT", "SHIFT")
def _normalized_key(s):
words = s.spli... | 31.049587 | 85 | 0.596753 |
fddaa0f07a47236cfb9c645bb05d199da20ff519 | 27,947 | py | Python | test/test_classify_l2_acl.py | lfntac/vpp | 75ae1027c8418225c08c247354b384ac2412f137 | [
"Apache-2.0"
] | 1 | 2019-03-23T21:06:14.000Z | 2019-03-23T21:06:14.000Z | test/test_classify_l2_acl.py | fantastic2085/vpp | c599c6f001bc28e1023fb5e74a27db37b1aae847 | [
"Apache-2.0"
] | 1 | 2021-06-01T23:31:18.000Z | 2021-06-01T23:31:18.000Z | test/test_classify_l2_acl.py | fantastic2085/vpp | c599c6f001bc28e1023fb5e74a27db37b1aae847 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
""" Classifier-based L2 ACL Test Case HLD:
"""
import unittest
import random
import binascii
import socket
from scapy.packet import Raw
from scapy.data import ETH_P_IP
from scapy.layers.l2 import Ether
from scapy.layers.inet import IP, TCP, UDP, ICMP
from scapy.layers.inet6 import IPv6, ICMPv6E... | 40.858187 | 79 | 0.554478 |
676f129aa4b85d683fc415a6a7a1456d91236658 | 4,030 | py | Python | venv/lib/python3.8/site-packages/azureml/_restclient/operations/swagger_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/_restclient/operations/swagger_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/azureml/_restclient/operations/swagger_operations.py | amcclead7336/Enterprise_Data_Science_Final | ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28 | [
"Unlicense",
"MIT"
] | 2 | 2021-05-23T16:46:31.000Z | 2021-05-26T23:51:09.000Z | # 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 2.3.3... | 41.546392 | 204 | 0.650124 |
73d6f743b4f43e923bb81a0e18c303c9a9c15a5e | 3,605 | py | Python | src/wrf/g_pw.py | khallock/wrf-python | 9c5825c101722e7eddece2ca13cc8e9d9f96a21e | [
"Apache-2.0"
] | 1 | 2018-10-30T18:06:26.000Z | 2018-10-30T18:06:26.000Z | src/wrf/g_pw.py | mostamndi/wrf-python | 3806bcdd01b31fa67da980eafefa0d1245faf6a6 | [
"Apache-2.0"
] | null | null | null | src/wrf/g_pw.py | mostamndi/wrf-python | 3806bcdd01b31fa67da980eafefa0d1245faf6a6 | [
"Apache-2.0"
] | null | null | null | from __future__ import (absolute_import, division, print_function)
#from .extension import computepw,computetv,computetk
from .extension import _pw, _tv, _tk
from .constants import Constants
from .util import extract_vars
from .metadecorators import copy_and_set_metadata
@copy_and_set_metadata(copy_varname="T", name... | 39.615385 | 79 | 0.599168 |
ac4ba5db3772e14383795c000e604f3cfc291a48 | 636 | py | Python | datahub/event/views.py | alixedi/data-hub-api-cd-poc | a5e5ea45bb496c0d2a06635864514af0c7d4291a | [
"MIT"
] | null | null | null | datahub/event/views.py | alixedi/data-hub-api-cd-poc | a5e5ea45bb496c0d2a06635864514af0c7d4291a | [
"MIT"
] | 16 | 2020-04-01T15:25:35.000Z | 2020-04-14T14:07:30.000Z | datahub/event/views.py | alixedi/data-hub-api-cd-poc | a5e5ea45bb496c0d2a06635864514af0c7d4291a | [
"MIT"
] | null | null | null | from datahub.core.viewsets import CoreViewSet
from datahub.event.models import Event
from datahub.event.serializers import EventSerializer
from datahub.oauth.scopes import Scope
class EventViewSet(CoreViewSet):
"""Views for events."""
required_scopes = (Scope.internal_front_end,)
serializer_class = Event... | 25.44 | 53 | 0.668239 |
b96899c710c38b11aeeb959bfea8ba7d80bc94c6 | 3,808 | py | Python | ceilometer/nova_client.py | NeCTAR-RC/ceilometer | 25cb8740b83bfbf5c526be816fa3ae10f936bff5 | [
"Apache-2.0"
] | 1 | 2015-02-26T03:23:09.000Z | 2015-02-26T03:23:09.000Z | ceilometer/nova_client.py | NeCTAR-RC/ceilometer | 25cb8740b83bfbf5c526be816fa3ae10f936bff5 | [
"Apache-2.0"
] | null | null | null | ceilometer/nova_client.py | NeCTAR-RC/ceilometer | 25cb8740b83bfbf5c526be816fa3ae10f936bff5 | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Author: John Tran <jhtran@att.com>
#
# 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 app... | 31.471074 | 75 | 0.624212 |
f999f613ae2d8805e67577a4820860f2fffbec15 | 5,491 | py | Python | DeepLearningAnnChurnPredictor.py | siddhaling/Bank-Churn-Prediction-using-Deep-Learning-And-Machine-Learning-Models | 7fde2c710a7c313c4e962c1c9eaf66cceeba2c82 | [
"MIT"
] | null | null | null | DeepLearningAnnChurnPredictor.py | siddhaling/Bank-Churn-Prediction-using-Deep-Learning-And-Machine-Learning-Models | 7fde2c710a7c313c4e962c1c9eaf66cceeba2c82 | [
"MIT"
] | null | null | null | DeepLearningAnnChurnPredictor.py | siddhaling/Bank-Churn-Prediction-using-Deep-Learning-And-Machine-Learning-Models | 7fde2c710a7c313c4e962c1c9eaf66cceeba2c82 | [
"MIT"
] | null | null | null | #importing libraries
import numpy as np
import pandas as pd
import tensorflow
import matplotlib.pyplot as plt
import seaborn as sns #Python data visualization library based on matplotlib.
pd.options.display.max_rows = None
pd.options.display.max_columns = None
df = pd.read_csv(r"\bank_churn.csv")
feature_names = ['cus... | 32.88024 | 139 | 0.70479 |
530dbe15d9e0ab03e8111519956a2c5a90ddcbce | 797 | py | Python | mmdet/core/evaluation/__init__.py | alexchungio/under-water-detect | 312672ccbe5e31ca21dffab26e1438ea190f3e5a | [
"Apache-2.0"
] | 1 | 2022-02-17T12:14:59.000Z | 2022-02-17T12:14:59.000Z | mmdet/core/evaluation/__init__.py | alexchungio/under-water-object-detect-2020 | 312672ccbe5e31ca21dffab26e1438ea190f3e5a | [
"Apache-2.0"
] | null | null | null | mmdet/core/evaluation/__init__.py | alexchungio/under-water-object-detect-2020 | 312672ccbe5e31ca21dffab26e1438ea190f3e5a | [
"Apache-2.0"
] | null | null | null | from .class_names import (cityscapes_classes, coco_classes, dataset_aliases,
get_classes, imagenet_det_classes,
imagenet_vid_classes, voc_classes, underwater_classes)
from .eval_hooks import DistEvalHook, EvalHook
from .mean_ap import average_precision, eval_map, prin... | 49.8125 | 80 | 0.726474 |
f80408478de78fa3475cf7747bb08d0f86ea07cc | 663 | py | Python | issues/20200630 #175 hatch-weird-edges/create_ccw_ellipse_hatches.py | jpsantos-mf/ezdxf | 2b542a551b2cfc3c0920a5dbf302ff58cea90fbd | [
"MIT"
] | 1 | 2021-06-05T09:15:15.000Z | 2021-06-05T09:15:15.000Z | issues/20200630 #175 hatch-weird-edges/create_ccw_ellipse_hatches.py | jpsantos-mf/ezdxf | 2b542a551b2cfc3c0920a5dbf302ff58cea90fbd | [
"MIT"
] | null | null | null | issues/20200630 #175 hatch-weird-edges/create_ccw_ellipse_hatches.py | jpsantos-mf/ezdxf | 2b542a551b2cfc3c0920a5dbf302ff58cea90fbd | [
"MIT"
] | null | null | null | from pathlib import Path
import ezdxf
import math
DIR = Path('~/Desktop/Outbox').expanduser()
doc = ezdxf.new()
msp = doc.modelspace()
hatch = msp.add_hatch(color=1)
ep = hatch.paths.add_edge_path()
ep.add_line((0, 0), (1, 0))
ep.add_ellipse(
center=(0, 0),
major_axis=(1, 0),
ratio=0.5,
start_angle=0... | 20.090909 | 43 | 0.657617 |
86cf5fdda3c327188692f2ce47a22897b91e62bc | 1,601 | py | Python | sqlparse/filters/right_margin.py | vmuriart/sqlparse | 0c1c96e237269ba6b964a766c4fc2fc503af5d9c | [
"BSD-3-Clause"
] | 1 | 2017-06-26T01:39:21.000Z | 2017-06-26T01:39:21.000Z | sqlparse/filters/right_margin.py | vmuriart/sqlparse | 0c1c96e237269ba6b964a766c4fc2fc503af5d9c | [
"BSD-3-Clause"
] | 2 | 2016-05-25T01:09:04.000Z | 2016-05-30T18:06:17.000Z | sqlparse/filters/right_margin.py | vmuriart/sqlparse | 0c1c96e237269ba6b964a766c4fc2fc503af5d9c | [
"BSD-3-Clause"
] | 1 | 2020-04-27T10:41:31.000Z | 2020-04-27T10:41:31.000Z | # -*- coding: utf-8 -*-
#
# Copyright (C) 2016 Andi Albrecht, albrecht.andi@gmail.com
#
# This module is part of python-sqlparse and is released under
# the BSD License: http://www.opensource.org/licenses/bsd-license.php
import re
from sqlparse import sql, tokens as T
from sqlparse.compat import text_type
# FIXME: ... | 32.02 | 74 | 0.541537 |
f3ee5e4a9c324da9afa1b5be50b9d6ca1b727d4c | 19,110 | py | Python | train_cos_new.py | CharlesW95/senior_project | d7bfe89c640b892f4c2f156a881c19cb5405b8ae | [
"MIT"
] | 1 | 2018-07-12T10:00:11.000Z | 2018-07-12T10:00:11.000Z | train_cos_new.py | CharlesW95/senior_project | d7bfe89c640b892f4c2f156a881c19cb5405b8ae | [
"MIT"
] | null | null | null | train_cos_new.py | CharlesW95/senior_project | d7bfe89c640b892f4c2f156a881c19cb5405b8ae | [
"MIT"
] | null | null | null | # This represents a new approach, where we feed style activations into the decoder.
#!/usr/bin/env python
from math import ceil, floor
from random import uniform
import argparse
import os
import tensorflow as tf
from adain.nn import build_vgg, vgg_layer_params, build_decoder
from adain.norm import adain
from adain.ut... | 42.751678 | 167 | 0.679906 |
fe3599447ec843cd5c9296bccc205dff470707c7 | 1,417 | py | Python | src/Knn-Tensor.py | python-itb/knn-from-scratch | dbc6fb53cffb245a76d35b9ff85ac8cb21877ca8 | [
"MIT"
] | null | null | null | src/Knn-Tensor.py | python-itb/knn-from-scratch | dbc6fb53cffb245a76d35b9ff85ac8cb21877ca8 | [
"MIT"
] | 2 | 2018-03-20T06:47:32.000Z | 2018-10-25T10:54:08.000Z | src/Knn-Tensor.py | python-itb/knn-from-scratch | dbc6fb53cffb245a76d35b9ff85ac8cb21877ca8 | [
"MIT"
] | 4 | 2018-03-20T06:43:11.000Z | 2019-04-15T16:34:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 13 18:52:28 2018
@author: amajidsinar
"""
from sklearn import datasets
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('seaborn-white')
iris = datasets.load_iris()
dataset = iris.data
# only take 0th and 1th column for X
data_kno... | 21.149254 | 94 | 0.687368 |
28beaf29a57ac7dad9035ba545ca787cfa58f6d8 | 9,724 | py | Python | desugar/operator.py | maggyero/desugar | fd283d4e93d4dbae385577627051094460b74fc8 | [
"MIT"
] | null | null | null | desugar/operator.py | maggyero/desugar | fd283d4e93d4dbae385577627051094460b74fc8 | [
"MIT"
] | null | null | null | desugar/operator.py | maggyero/desugar | fd283d4e93d4dbae385577627051094460b74fc8 | [
"MIT"
] | null | null | null | """A pure Python implementation of the parts of the 'operator' module that
pertain to syntax."""
# https://docs.python.org/3.8/library/operator.html
from __future__ import annotations
import typing
from . import builtins as debuiltins
if typing.TYPE_CHECKING:
from typing import Any, Callable
class _BinaryO... | 35.619048 | 114 | 0.658165 |
601abdc0a92ec2f21fdd27e5e659af2bdd63508d | 7,067 | py | Python | src/web/api.py | canl/algo-trading | 288f43a54d6594f79c79dc21f5534ad9aa785b29 | [
"MIT"
] | 11 | 2020-04-04T08:59:37.000Z | 2020-12-25T20:21:05.000Z | src/web/api.py | canl/algo-trading | 288f43a54d6594f79c79dc21f5534ad9aa785b29 | [
"MIT"
] | 1 | 2021-12-13T20:35:20.000Z | 2021-12-13T20:35:20.000Z | src/web/api.py | canl/algo-trading | 288f43a54d6594f79c79dc21f5534ad9aa785b29 | [
"MIT"
] | 3 | 2020-06-21T16:29:56.000Z | 2020-07-18T15:15:01.000Z | from http import HTTPStatus
from typing import List
from flask import Blueprint, request
from src.account.account_manager import AccountManager
from src.env import RUNNING_ENV
from src.orders.order import OrderSide
from src.orders.order_manager import OrderManager
from src.pricer import get_spot_rate
from src.utils.c... | 40.849711 | 157 | 0.593321 |
b9855e6625d526ec9cecb726db0b7eac8bc34672 | 1,927 | py | Python | examples/dfp/v201708/creative_template_service/get_system_defined_creative_templates.py | stelaxi/googleads-python-lib | 7830f303a63217e7c7190f9b085bce9c4f677727 | [
"Apache-2.0"
] | 1 | 2018-06-25T18:44:30.000Z | 2018-06-25T18:44:30.000Z | examples/dfp/v201708/creative_template_service/get_system_defined_creative_templates.py | stelaxi/googleads-python-lib | 7830f303a63217e7c7190f9b085bce9c4f677727 | [
"Apache-2.0"
] | null | null | null | examples/dfp/v201708/creative_template_service/get_system_defined_creative_templates.py | stelaxi/googleads-python-lib | 7830f303a63217e7c7190f9b085bce9c4f677727 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2016 Google Inc. 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 requir... | 36.358491 | 75 | 0.721847 |
97fa73614f7a3d7ad058085375984733ad20165c | 3,595 | py | Python | acme/acme/errors.py | marcovr/certbot | c129ab2965f7ec4edf173b1cd900bd5add13cd2a | [
"Apache-2.0"
] | 1 | 2019-01-20T08:17:26.000Z | 2019-01-20T08:17:26.000Z | acme/acme/errors.py | marcovr/certbot | c129ab2965f7ec4edf173b1cd900bd5add13cd2a | [
"Apache-2.0"
] | 1 | 2021-05-24T22:19:39.000Z | 2021-05-24T22:20:42.000Z | acme/acme/errors.py | marcovr/certbot | c129ab2965f7ec4edf173b1cd900bd5add13cd2a | [
"Apache-2.0"
] | 3 | 2019-03-21T23:21:38.000Z | 2020-06-23T20:56:56.000Z | """ACME errors."""
from josepy import errors as jose_errors
class Error(Exception):
"""Generic ACME error."""
class DependencyError(Error):
"""Dependency error"""
class SchemaValidationError(jose_errors.DeserializationError):
"""JSON schema ACME object validation error."""
class ClientError(Error):
... | 29.710744 | 79 | 0.672323 |
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