hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 11
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 251 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 251 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 251 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.05M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.04M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
d8bf094e28fe8390c3d84fdfd1c20be429c49d9e | 98 | py | Python | enthought/envisage/ui/action/action_set.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 3 | 2016-12-09T06:05:18.000Z | 2018-03-01T13:00:29.000Z | enthought/envisage/ui/action/action_set.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | 1 | 2020-12-02T00:51:32.000Z | 2020-12-02T08:48:55.000Z | enthought/envisage/ui/action/action_set.py | enthought/etsproxy | 4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347 | [
"BSD-3-Clause"
] | null | null | null | # proxy module
from __future__ import absolute_import
from envisage.ui.action.action_set import *
| 24.5 | 43 | 0.836735 |
d8bf5ee917ae885bfd0bb8ccd709db9a3391256d | 7,353 | py | Python | pypesto/objective/history.py | LukasSp/pyPESTO | f4260ff6cacce982bb25fe104e04fb761efdf0ec | [
"BSD-3-Clause"
] | null | null | null | pypesto/objective/history.py | LukasSp/pyPESTO | f4260ff6cacce982bb25fe104e04fb761efdf0ec | [
"BSD-3-Clause"
] | null | null | null | pypesto/objective/history.py | LukasSp/pyPESTO | f4260ff6cacce982bb25fe104e04fb761efdf0ec | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import pandas as pd
import time
import os
from .constants import MODE_FUN, MODE_RES, FVAL, GRAD, HESS, RES, SRES
from .util import res_to_chi2, sres_to_schi2
from .options import ObjectiveOptions
| 29.412 | 78 | 0.543996 |
d8bfa4f07996ea7ea34f5cb3804de0e043161860 | 1,667 | py | Python | Preprocess.py | yuchenmo/SceneCompletion | 1fe9d208025ee5d75a05cb7392f38d26b4fc32a4 | [
"MIT"
] | 1 | 2020-07-14T13:52:45.000Z | 2020-07-14T13:52:45.000Z | Preprocess.py | yuchenmo/SceneCompletion | 1fe9d208025ee5d75a05cb7392f38d26b4fc32a4 | [
"MIT"
] | null | null | null | Preprocess.py | yuchenmo/SceneCompletion | 1fe9d208025ee5d75a05cb7392f38d26b4fc32a4 | [
"MIT"
] | null | null | null | import numpy as np
import os
import os.path as op
import cv2
from tqdm import tqdm
import multiprocessing
from FeatureExtractor import get_gist_C_implementation
from utils import ensure_dir, info
input_dir = "./dataset/raw_image"
catalog = {}
paths = []
feats = []
for (root, dirs, files) in os.walk(input_dir):
fo... | 28.741379 | 103 | 0.666467 |
d8c0ca9e336b129f3d4a5c72ff83a6eef593b36e | 78 | py | Python | iic/archs/__init__.py | felizang/IIC-pytorch3 | c16928fd497089b3776c7dc3a2ac89b863314a62 | [
"MIT"
] | 1 | 2020-09-18T23:37:58.000Z | 2020-09-18T23:37:58.000Z | iic/archs/__init__.py | felizang/IIC-pytorch3 | c16928fd497089b3776c7dc3a2ac89b863314a62 | [
"MIT"
] | null | null | null | iic/archs/__init__.py | felizang/IIC-pytorch3 | c16928fd497089b3776c7dc3a2ac89b863314a62 | [
"MIT"
] | null | null | null | from .cluster import *
# from .segmentation import *
# from .semisup import *
| 19.5 | 29 | 0.717949 |
d8c0e04d3ec6f09aec71072718afd9ee3c2cd73d | 1,729 | py | Python | ExtraCode/file2speech/file2speech.py | Codingmace/JARVIS | 826d8eeaac9472511ffe5cae6f6924aa041cc723 | [
"MIT"
] | 1 | 2021-02-06T13:08:37.000Z | 2021-02-06T13:08:37.000Z | ExtraCode/file2speech/file2speech.py | Codingmace/JARVIS | 826d8eeaac9472511ffe5cae6f6924aa041cc723 | [
"MIT"
] | null | null | null | ExtraCode/file2speech/file2speech.py | Codingmace/JARVIS | 826d8eeaac9472511ffe5cae6f6924aa041cc723 | [
"MIT"
] | null | null | null | from gtts import gTTS # convert text-to-speech
import PyPDF2 # convert pdf-to-text
from PIL import Image # process images
import pytesseract # convert image to text
import os # play audio file
| 32.018519 | 89 | 0.665124 |
d8c12a666e4427f212c22ec263167bf3dc9fbc7d | 6,105 | py | Python | python/treetagger-python/treetagger3.py | semplea/characters-meta | bf5a066b203648fec8658a76b79ddb3e5159b1ae | [
"MIT"
] | null | null | null | python/treetagger-python/treetagger3.py | semplea/characters-meta | bf5a066b203648fec8658a76b79ddb3e5159b1ae | [
"MIT"
] | null | null | null | python/treetagger-python/treetagger3.py | semplea/characters-meta | bf5a066b203648fec8658a76b79ddb3e5159b1ae | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Natural Language Toolkit: Interface to the TreeTagger POS-tagger
#
# Copyright (C) Mirko Otto
# Author: Mirko Otto <dropsy@gmail.com>
"""
A Python module for interfacing with the Treetagger by Helmut Schmid.
"""
import os
from subprocess import Popen, PIPE
from nltk.internals import find_bi... | 35.911765 | 163 | 0.573792 |
d8c2c473329ee34a8c2d15d5bf24c94e18b5f1c1 | 751 | py | Python | StickyDJ-Bot/src/util/configmaker.py | JCab09/StickyDJ-Bot | feaf2229a6729be6ad022f9105da19192e3a91d3 | [
"WTFPL"
] | null | null | null | StickyDJ-Bot/src/util/configmaker.py | JCab09/StickyDJ-Bot | feaf2229a6729be6ad022f9105da19192e3a91d3 | [
"WTFPL"
] | null | null | null | StickyDJ-Bot/src/util/configmaker.py | JCab09/StickyDJ-Bot | feaf2229a6729be6ad022f9105da19192e3a91d3 | [
"WTFPL"
] | null | null | null | #!/usr/bin/env python3
"""
This class uses the yaml-parser in order to create the
apropriate config-dictionary for the client who requested it
Author: Jason Cabezuela
"""
from src.util.parser.yaml_parser import yaml_parser
import string
def getConfig(filepath, type = '.yaml', context = None):
"""PLACEHOLDER
... | 24.225806 | 66 | 0.647137 |
d8c3cd712d592f39d12428d51a6c41a7fc38afb8 | 9,316 | py | Python | qurkexp/join/pair-results.py | marcua/qurk_experiments | 453c207ff50e730aefb6e1118e0f93e33babdb0b | [
"BSD-3-Clause"
] | 1 | 2015-09-30T00:09:06.000Z | 2015-09-30T00:09:06.000Z | qurkexp/join/pair-results.py | marcua/qurk_experiments | 453c207ff50e730aefb6e1118e0f93e33babdb0b | [
"BSD-3-Clause"
] | null | null | null | qurkexp/join/pair-results.py | marcua/qurk_experiments | 453c207ff50e730aefb6e1118e0f93e33babdb0b | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import sys, os
ROOT = os.path.abspath('%s/../..' % os.path.abspath(os.path.dirname(__file__)))
sys.path.append(ROOT)
os.environ['DJANGO_SETTINGS_MODULE'] = 'qurkexp.settings'
from django.core.management import setup_environ
from django.conf import settings
from qurkexp.join.models import *
from q... | 46.348259 | 167 | 0.584908 |
d8c48b7d57359870b490a90227e4ef21b9bcd088 | 1,384 | py | Python | exchange_plugin/consumer.py | FastyBird/application-exchange | 66fedb46b684e5a2fa29e6d654cf7fb9df2b5ee5 | [
"Apache-2.0"
] | null | null | null | exchange_plugin/consumer.py | FastyBird/application-exchange | 66fedb46b684e5a2fa29e6d654cf7fb9df2b5ee5 | [
"Apache-2.0"
] | null | null | null | exchange_plugin/consumer.py | FastyBird/application-exchange | 66fedb46b684e5a2fa29e6d654cf7fb9df2b5ee5 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python3
# Copyright 2021. FastyBird s.r.o.
#
# 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 re... | 29.446809 | 78 | 0.689306 |
d8c54062ff8343ff9ddf5caf6e861fe863f75af6 | 8,057 | py | Python | plasmapy/utils/tests/test_checks.py | ludoro/PlasmaPy | 69712cb40b8b588400301edfd6925d41d2f13eac | [
"BSD-2-Clause-Patent",
"BSD-3-Clause"
] | 1 | 2020-04-28T23:04:41.000Z | 2020-04-28T23:04:41.000Z | plasmapy/utils/tests/test_checks.py | ludoro/PlasmaPy | 69712cb40b8b588400301edfd6925d41d2f13eac | [
"BSD-2-Clause-Patent",
"BSD-3-Clause"
] | null | null | null | plasmapy/utils/tests/test_checks.py | ludoro/PlasmaPy | 69712cb40b8b588400301edfd6925d41d2f13eac | [
"BSD-2-Clause-Patent",
"BSD-3-Clause"
] | null | null | null | """Tests for methods relating to quantities."""
import numpy as np
from astropy import units as u
import pytest
from ...constants import c
from ..checks import (
_check_quantity, _check_relativistic, check_relativistic,
check_quantity
)
# (value, units, error)
quantity_error_examples_default = [
# excep... | 26.767442 | 79 | 0.655827 |
d8c60cdc79b62a601b3d9d8f934d4d82ef87f25f | 807 | py | Python | strategy/IStrategy.py | chung-ejy/longshot | c9ff1a6586546b496ed6ba2f0b43ff9cd68fa15d | [
"MIT"
] | null | null | null | strategy/IStrategy.py | chung-ejy/longshot | c9ff1a6586546b496ed6ba2f0b43ff9cd68fa15d | [
"MIT"
] | null | null | null | strategy/IStrategy.py | chung-ejy/longshot | c9ff1a6586546b496ed6ba2f0b43ff9cd68fa15d | [
"MIT"
] | 1 | 2021-08-05T02:12:51.000Z | 2021-08-05T02:12:51.000Z | from abc import ABCMeta, abstractmethod
## sources https://realpython.com/python-interface/
## https://docs.python.org/3/library/abc.html | 40.35 | 104 | 0.696406 |
d8c72861cbc53d6e825c48466db5462e47aed39b | 10,511 | py | Python | symbol_tables/LinearProbingHashST.py | okebinda/algorithms.python | b62d69a09fac4ca4e4b02ba99e4aae986e766e89 | [
"MIT"
] | null | null | null | symbol_tables/LinearProbingHashST.py | okebinda/algorithms.python | b62d69a09fac4ca4e4b02ba99e4aae986e766e89 | [
"MIT"
] | null | null | null | symbol_tables/LinearProbingHashST.py | okebinda/algorithms.python | b62d69a09fac4ca4e4b02ba99e4aae986e766e89 | [
"MIT"
] | null | null | null | """Symbol Table: Linear Probing Hash"""
from collections.abc import MutableMapping
from random import randrange
if __name__ == "__main__":
import unittest
unittest.main()
| 31.851515 | 79 | 0.533727 |
d8c91d258814ef08bbfd7a0d619bcb60180cddf1 | 77 | py | Python | {{cookiecutter.project_name}}/{{cookiecutter.project_name}}/wsgi.py | YE-Kits/cookiecutter-falcon | e7963cb6028dcefa18c82d473773162d57549d49 | [
"MIT"
] | 1 | 2020-06-13T09:15:31.000Z | 2020-06-13T09:15:31.000Z | {{cookiecutter.project_name}}/{{cookiecutter.project_name}}/wsgi.py | YE-Kits/cookiecutter-falcon | e7963cb6028dcefa18c82d473773162d57549d49 | [
"MIT"
] | null | null | null | {{cookiecutter.project_name}}/{{cookiecutter.project_name}}/wsgi.py | YE-Kits/cookiecutter-falcon | e7963cb6028dcefa18c82d473773162d57549d49 | [
"MIT"
] | null | null | null | from {{cookiecutter.project_name}}.main import create_app
app = create_app()
| 25.666667 | 57 | 0.792208 |
d8ca50d05d227a6bd61f471eef16a683056e344e | 380 | py | Python | test/test_sshtype.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 76 | 2015-01-24T19:18:31.000Z | 2021-03-11T11:17:14.000Z | test/test_sshtype.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 8 | 2015-01-24T18:59:57.000Z | 2017-06-07T13:07:34.000Z | test/test_sshtype.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 21 | 2015-01-24T18:56:52.000Z | 2021-03-10T14:33:14.000Z | import sys
import unittest
sys.path.append("../main")
from sshtype import *
| 23.75 | 78 | 0.665789 |
d8cba97cb8816c7aeda1bf733a60793f225c76f2 | 392 | py | Python | eventlet_raft/tests/test_client.py | jason-ni/eventlet-raft | 12d97d7b90f4ecd4849ecf5ca3e36dc3879e1d2b | [
"Apache-2.0"
] | 3 | 2015-05-22T05:30:29.000Z | 2016-01-06T10:14:31.000Z | eventlet_raft/tests/test_client.py | jason-ni/eventlet-raft | 12d97d7b90f4ecd4849ecf5ca3e36dc3879e1d2b | [
"Apache-2.0"
] | null | null | null | eventlet_raft/tests/test_client.py | jason-ni/eventlet-raft | 12d97d7b90f4ecd4849ecf5ca3e36dc3879e1d2b | [
"Apache-2.0"
] | null | null | null | from glob import glob
import os
from unittest import TestCase
from nose.plugins.attrib import attr
from ..client import RaftClient
| 19.6 | 48 | 0.683673 |
d8ccfdce9caee10035d22fbe4da0b0cf737f602c | 1,852 | py | Python | roc-prepare3.py | catherinekerr/ip-ensemble | a1ddcf0260d5a210dd55ae5faf015f3a8792c812 | [
"Apache-2.0"
] | 1 | 2020-07-25T10:55:21.000Z | 2020-07-25T10:55:21.000Z | roc-prepare3.py | jmarecek/ip-ensemble | 9a867373ea1c99c746debdc9d7aa3a76e00b2005 | [
"Apache-2.0"
] | 1 | 2019-10-16T20:18:26.000Z | 2019-10-16T20:18:26.000Z | roc-prepare3.py | catherinekerr/ip-ensemble | a1ddcf0260d5a210dd55ae5faf015f3a8792c812 | [
"Apache-2.0"
] | null | null | null | """
Construct the ROC plot.
This code is licensed under the Apache License, Version 2.0. You may
obtain a copy of this license in the LICENSE file in the root
directory of this source tree or at
http://www.apache.org/licenses/LICENSE-2.0.
Any modifications or derivative works of this code must retain this
copyright ... | 30.360656 | 146 | 0.736501 |
d8cdcb34f2de4b4fe253e0157e6e96be141b7e33 | 3,478 | py | Python | gbmplus/api/orders.py | markzuckerbergas/gbmplus-api-python | befed7adca61a970eeaabe8d6144f62fb2b234af | [
"MIT"
] | 13 | 2021-12-20T22:41:49.000Z | 2022-03-31T06:40:59.000Z | gbmplus/api/orders.py | markzuckerbergas/gbmplus-api-python | befed7adca61a970eeaabe8d6144f62fb2b234af | [
"MIT"
] | 1 | 2022-01-14T23:49:09.000Z | 2022-01-14T23:49:09.000Z | gbmplus/api/orders.py | markzuckerbergas/gbmplus-api-python | befed7adca61a970eeaabe8d6144f62fb2b234af | [
"MIT"
] | null | null | null | from datetime import datetime, timezone
from ..exceptions import *
| 35.489796 | 127 | 0.570155 |
d8ce87361543046b3e946a41e20d9110add3b7a8 | 6,885 | py | Python | phipkit/antigen_analysis.py | openvax/phipkit | 267a9b0bb3b79b3ff416e07ce390e43b84a02be4 | [
"Apache-2.0"
] | null | null | null | phipkit/antigen_analysis.py | openvax/phipkit | 267a9b0bb3b79b3ff416e07ce390e43b84a02be4 | [
"Apache-2.0"
] | null | null | null | phipkit/antigen_analysis.py | openvax/phipkit | 267a9b0bb3b79b3ff416e07ce390e43b84a02be4 | [
"Apache-2.0"
] | null | null | null | import collections
import numpy
import pandas
import scipy
from tqdm import tqdm
from .common import say, reconstruct_antigen_sequences
def compute_coverage(antigen, sequence, blast_df):
"""
Extract blast hits for some clones for a single antigen into a DataFrame
indicating whether each clone aligns at... | 32.942584 | 91 | 0.590704 |
d8cfe5c85d4c780f5fe5a04c1b84c01f4f74a9e3 | 1,818 | py | Python | go/contacts/import_handlers.py | lynnUg/vumi-go | 852f906c46d5d26940bd6699f11488b73bbc3742 | [
"BSD-3-Clause"
] | null | null | null | go/contacts/import_handlers.py | lynnUg/vumi-go | 852f906c46d5d26940bd6699f11488b73bbc3742 | [
"BSD-3-Clause"
] | null | null | null | go/contacts/import_handlers.py | lynnUg/vumi-go | 852f906c46d5d26940bd6699f11488b73bbc3742 | [
"BSD-3-Clause"
] | null | null | null | from go.contacts import tasks, utils
from go.contacts.parsers import ContactFileParser
| 33.054545 | 78 | 0.735424 |
d8d0dac3189f36858eaf069e98424b57b51cf966 | 6,542 | py | Python | model.py | cynthia3r/flower_image_classifier | bac89f88410642d164030fd60436597ba5270f20 | [
"MIT"
] | 1 | 2021-08-10T23:27:55.000Z | 2021-08-10T23:27:55.000Z | model.py | cynthia3r/flower_image_classifier | bac89f88410642d164030fd60436597ba5270f20 | [
"MIT"
] | null | null | null | model.py | cynthia3r/flower_image_classifier | bac89f88410642d164030fd60436597ba5270f20 | [
"MIT"
] | null | null | null | import torch
from torchvision import models
import time
'''
Functions related to training model
'''
# TODO COMPLETED: Write a function that loads a checkpoint and rebuilds the model
# Loading checkpoints (The function successfully loads a checkpoint and rebuilds the model)
# Define Validation function for the mod... | 37.382857 | 120 | 0.641394 |
d8d163fba6f3d79bbb87bf34a4ae8f44106e768f | 324 | py | Python | Python3/Tornado/apps/pg/PG_Deposit/test/test_request.py | youngqqcn/QBlockChainNotes | 85122049024dc5555705bf016312491a51966621 | [
"MIT"
] | 24 | 2018-11-01T03:36:43.000Z | 2022-03-28T08:20:30.000Z | Python3/Tornado/apps/pg/PG_Deposit/test/test_request.py | songning4/QBlockChainNotes | d65ede073f5a20f728f41cc6850409693820cdb1 | [
"MIT"
] | 57 | 2019-12-04T08:26:47.000Z | 2022-03-08T07:35:15.000Z | Python3/Tornado/apps/pg/PG_Deposit/test/test_request.py | youngqqcn/QBlockChainNotes | 85122049024dc5555705bf016312491a51966621 | [
"MIT"
] | 11 | 2019-01-04T08:41:57.000Z | 2022-03-16T03:51:36.000Z | #!coding:utf8
#author:yqq
#date:2020/8/14 0014 19:26
#description:
import requests
if __name__ == '__main__':
main() | 12.96 | 75 | 0.595679 |
d8d4111b5c5d9efbe753fdccc4f3bae97104b8fb | 401 | py | Python | test_project/test_project/settings_pytest.py | mpasternak/django-reciprocity | 2bffe1ae6025675ae96bb9420e1f69cf48b414c6 | [
"MIT"
] | 1 | 2019-12-09T11:23:51.000Z | 2019-12-09T11:23:51.000Z | test_project/test_project/settings_pytest.py | mpasternak/django-reciprocity | 2bffe1ae6025675ae96bb9420e1f69cf48b414c6 | [
"MIT"
] | 7 | 2019-03-01T18:13:40.000Z | 2022-02-12T14:44:51.000Z | test_project/test_project/settings_pytest.py | mpasternak/django-reciprocity | 2bffe1ae6025675ae96bb9420e1f69cf48b414c6 | [
"MIT"
] | null | null | null | # Settings for testing with included docker-compose and pytest
from .settings import * # noqa
# Subscribe from remote selenium container to docker-compose nginx container
NGINX_PUSH_STREAM_PUB_HOST = "localhost"
NGINX_PUSH_STREAM_PUB_PORT = "9080"
# Subscribe from local TravisCI machine to docker-compose nginx cont... | 33.416667 | 76 | 0.820449 |
d8d623e88b523d074fcb064df7ff09e465d2847b | 1,823 | py | Python | BrainML/optimizer.py | bogdan124/DeepML | ad5e904cc9fcd3c499bbca3538525d83fde003f5 | [
"Apache-2.0"
] | null | null | null | BrainML/optimizer.py | bogdan124/DeepML | ad5e904cc9fcd3c499bbca3538525d83fde003f5 | [
"Apache-2.0"
] | null | null | null | BrainML/optimizer.py | bogdan124/DeepML | ad5e904cc9fcd3c499bbca3538525d83fde003f5 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
def Adam(learning_rate=0.001,beta_1=0.9,beta_2=0.999,epsilon=1e-07,amsgrad=False,name='Adam'):
"""
Here you have the Adam Optimizer
"""
adam=tf.compat.v1.train.AdamOptimizer(learning_rate, beta_1, beta_2, epsilon, amsgrad,name )
return adam
def Adadelta(learning_rate=0... | 26.808824 | 109 | 0.659353 |
d8d75a885ccdd78207efcc9758ec253f7980e674 | 2,805 | py | Python | tests/build_test_output.py | john-grando/pyExpandObjects | c08b1d1bc45684bc71c0f49b4d2f22c707cd4aa4 | [
"BSD-3-Clause"
] | null | null | null | tests/build_test_output.py | john-grando/pyExpandObjects | c08b1d1bc45684bc71c0f49b4d2f22c707cd4aa4 | [
"BSD-3-Clause"
] | 1 | 2021-02-03T01:56:56.000Z | 2021-02-03T01:56:56.000Z | tests/build_test_output.py | john-grando/pyExpandObjects | c08b1d1bc45684bc71c0f49b4d2f22c707cd4aa4 | [
"BSD-3-Clause"
] | 1 | 2022-01-11T18:31:05.000Z | 2022-01-11T18:31:05.000Z | import os
import pandas as pd
base_project_path = os.path.dirname(
os.path.dirname(
os.path.abspath(__file__)
)
)
if __name__ == "__main__":
main()
| 32.241379 | 102 | 0.552941 |
d8d857f5c61e30e7fbb6c701c98c28a407e889a3 | 2,184 | py | Python | UnitGenerServer.py | SachithS/UnitGener | 165912afd050e6bc20ac988291c3311e4d351c8f | [
"MIT"
] | null | null | null | UnitGenerServer.py | SachithS/UnitGener | 165912afd050e6bc20ac988291c3311e4d351c8f | [
"MIT"
] | null | null | null | UnitGenerServer.py | SachithS/UnitGener | 165912afd050e6bc20ac988291c3311e4d351c8f | [
"MIT"
] | null | null | null | """
UnitGenerCore.py - Server of the UnitGener
This file is responsible for creating the routes and the server of the UnitGener core module.
Will create all the needed routes with params and initiate the server.
@author Sachith Senarathne
@version 1.0
@maintainer Sachith Senarathne
@copyright ... | 28.736842 | 96 | 0.742216 |
d8d8d2b359e3e55295ef066e6f3edd2c7fb3f2d5 | 288 | py | Python | setup.py | Califrais/lights | cb4e3a0cbe64606f071ed02c06a9fc5db2681c1d | [
"MIT"
] | 6 | 2021-01-15T14:23:33.000Z | 2022-02-01T12:25:24.000Z | setup.py | Califrais/lights | cb4e3a0cbe64606f071ed02c06a9fc5db2681c1d | [
"MIT"
] | 11 | 2020-12-18T13:16:34.000Z | 2021-11-02T08:27:02.000Z | setup.py | Califrais/lights | cb4e3a0cbe64606f071ed02c06a9fc5db2681c1d | [
"MIT"
] | 1 | 2021-08-12T23:07:07.000Z | 2021-08-12T23:07:07.000Z | from setuptools import setup
setup(
name='lights',
version='0.1',
author="Van-Tuan Nguyen",
description="ligths is a generalized joint model for high-dimensional multivariate longitudinal data and censored durations",
url="https://github.com/Califrais/lights",
) | 28.8 | 129 | 0.71875 |
d8d9c33824013177ce2cb42af02ae9ad0e0bb0ac | 443 | py | Python | Task1F.py | Nikko10Have/CompLent | c701db38ebd014f7a43a91b749985468307da855 | [
"MIT"
] | null | null | null | Task1F.py | Nikko10Have/CompLent | c701db38ebd014f7a43a91b749985468307da855 | [
"MIT"
] | null | null | null | Task1F.py | Nikko10Have/CompLent | c701db38ebd014f7a43a91b749985468307da855 | [
"MIT"
] | null | null | null | from floodsystem.stationdata import build_station_list
from floodsystem.station import inconsistent_typical_range_stations
from floodsystem.station import MonitoringStation
# List of Stations
stations = build_station_list()
incon = inconsistent_typical_range_stations(stations)
# Get names of inconsistent stations
inc... | 26.058824 | 67 | 0.832957 |
d8da595c175dc5992171e47a8fd68be6e3fb96a1 | 6,909 | py | Python | pycg/machinery/imports.py | WenJinfeng/PyCG | b45e8e04fe697d8301cf27222a8f37646d69f168 | [
"Apache-2.0"
] | 121 | 2020-12-16T20:31:37.000Z | 2022-03-21T20:32:43.000Z | pycg/machinery/imports.py | WenJinfeng/PyCG | b45e8e04fe697d8301cf27222a8f37646d69f168 | [
"Apache-2.0"
] | 24 | 2021-03-13T00:04:00.000Z | 2022-03-21T17:28:11.000Z | pycg/machinery/imports.py | WenJinfeng/PyCG | b45e8e04fe697d8301cf27222a8f37646d69f168 | [
"Apache-2.0"
] | 19 | 2021-03-23T10:58:47.000Z | 2022-03-24T19:46:50.000Z | #
# Copyright (c) 2020 Vitalis Salis.
#
# 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, Vers... | 31.262443 | 90 | 0.625561 |
d8dd54809c21d8cf9620d2ba180c2c372e914043 | 17,168 | py | Python | aquarius/events/processors.py | oceanprotocol/provider-backend | f9e36e3d6b880de548c6b92c38d10d76daf369ba | [
"Apache-2.0"
] | null | null | null | aquarius/events/processors.py | oceanprotocol/provider-backend | f9e36e3d6b880de548c6b92c38d10d76daf369ba | [
"Apache-2.0"
] | 1 | 2018-08-15T09:57:01.000Z | 2018-08-15T09:57:01.000Z | aquarius/events/processors.py | oceanprotocol/provider-backend | f9e36e3d6b880de548c6b92c38d10d76daf369ba | [
"Apache-2.0"
] | null | null | null | #
# Copyright 2021 Ocean Protocol Foundation
# SPDX-License-Identifier: Apache-2.0
#
import copy
import json
import logging
import os
from abc import ABC
from datetime import datetime
from jsonsempai import magic # noqa: F401
from aquarius.ddo_checker.shacl_checker import validate_dict
from aquarius.events.constants... | 33.795276 | 119 | 0.603507 |
d8dd5a05bb62a31123a3f8b387779414b5fe1e30 | 822 | py | Python | examples/mocsar_pl_cfg_human.py | cogitoergoread/muszi-macrohard.hu | e9bbd36b789e670f96622a3a2ba8327f0d897561 | [
"MIT"
] | 1 | 2021-05-27T03:40:37.000Z | 2021-05-27T03:40:37.000Z | examples/mocsar_pl_cfg_human.py | cogitoergoread/muszi-macrohard.hu | e9bbd36b789e670f96622a3a2ba8327f0d897561 | [
"MIT"
] | null | null | null | examples/mocsar_pl_cfg_human.py | cogitoergoread/muszi-macrohard.hu | e9bbd36b789e670f96622a3a2ba8327f0d897561 | [
"MIT"
] | 1 | 2022-02-24T11:25:22.000Z | 2022-02-24T11:25:22.000Z | """
A toy example of playing against defined set of bots on Mocsr
Using env "mocsar"-cfg Using 'human_mode'
"""
import rlcard3
# Make environment and enable human mode
env = rlcard3.make('mocsar-cfg', config={'human_mode': True})
# Register agents
agents = {"mocsar_random": 2, "mocsar_min": 2}
env.model.create_agent... | 27.4 | 62 | 0.654501 |
d8e061713db2c288586dc6014b12b5d47b5cd800 | 66 | py | Python | drones/version.py | bugout-dev/drones | 9af74215a93e364463b1373e7055735f0eef45b0 | [
"Apache-2.0"
] | null | null | null | drones/version.py | bugout-dev/drones | 9af74215a93e364463b1373e7055735f0eef45b0 | [
"Apache-2.0"
] | 5 | 2021-07-13T19:18:54.000Z | 2021-08-25T11:11:17.000Z | drones/version.py | bugout-dev/drones | 9af74215a93e364463b1373e7055735f0eef45b0 | [
"Apache-2.0"
] | null | null | null | """
Drones library and API version.
"""
DRONES_VERSION = "0.1.2"
| 11 | 31 | 0.651515 |
d8e2fd2848561b86ff3b7a6c20a8073c7c4a9cfd | 482 | py | Python | utils/prepare_bcp.py | smeea/krcg-static | 4e496c4ddff875f197be577458434b20b5215e2a | [
"MIT"
] | null | null | null | utils/prepare_bcp.py | smeea/krcg-static | 4e496c4ddff875f197be577458434b20b5215e2a | [
"MIT"
] | null | null | null | utils/prepare_bcp.py | smeea/krcg-static | 4e496c4ddff875f197be577458434b20b5215e2a | [
"MIT"
] | null | null | null | """A convenience function to rename BCP images
"""
import os
import re
from krcg.parser import _CLAN
| 26.777778 | 72 | 0.564315 |
d8e36d5aa815a359788bc7a41f7707935bcae369 | 3,093 | py | Python | openpype/hosts/houdini/vendor/husdoutputprocessors/stagingdir_processor.py | jonclothcat/OpenPype | d1208cbebc0a7f378de0062ccd653295c6399195 | [
"MIT"
] | 87 | 2021-05-07T08:40:46.000Z | 2022-03-19T00:36:25.000Z | openpype/hosts/houdini/vendor/husdoutputprocessors/stagingdir_processor.py | zafrs/OpenPype | 4b8e7e1ed002fc55b31307efdea70b0feaed474f | [
"MIT"
] | 1,019 | 2021-04-26T06:22:56.000Z | 2022-03-31T16:30:43.000Z | openpype/hosts/houdini/vendor/husdoutputprocessors/stagingdir_processor.py | zafrs/OpenPype | 4b8e7e1ed002fc55b31307efdea70b0feaed474f | [
"MIT"
] | 33 | 2021-04-29T12:35:54.000Z | 2022-03-25T14:48:42.000Z | import hou
import husdoutputprocessors.base as base
import os
output_processor = StagingDirOutputProcessor()
| 33.989011 | 78 | 0.634982 |
d8e38560501df3c2a7e1fcaff55b0d251d89e335 | 158 | py | Python | modules/useless_print.py | ploggingdev/python_learn | 0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215 | [
"MIT"
] | 10 | 2017-06-23T07:30:52.000Z | 2019-09-11T20:14:08.000Z | modules/useless_print.py | ploggingdev/python_learn | 0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215 | [
"MIT"
] | null | null | null | modules/useless_print.py | ploggingdev/python_learn | 0b056c0a57e21d9a0c86eb8bbd6e14b236e4d215 | [
"MIT"
] | 11 | 2017-01-12T15:34:17.000Z | 2019-07-12T11:16:16.000Z | def useless_print(content):
'''Print the argument recieved'''
print(content)
if __name__ == "__main__":
import sys
useless_print(sys.argv[1]) | 22.571429 | 37 | 0.677215 |
d8e3d77e68c95fabda4facfab3e43eb49416a652 | 923 | py | Python | mit_d3m/db.py | micahjsmith/mit-d3m | a8138b2cc6329545bf3204f47cb39fe8faf7a44f | [
"MIT"
] | 6 | 2018-11-26T09:48:49.000Z | 2019-06-15T15:49:00.000Z | mit_d3m/db.py | micahjsmith/mit-d3m | a8138b2cc6329545bf3204f47cb39fe8faf7a44f | [
"MIT"
] | 12 | 2019-01-21T19:07:33.000Z | 2020-05-24T19:06:37.000Z | mit_d3m/db.py | micahjsmith/mit-d3m | a8138b2cc6329545bf3204f47cb39fe8faf7a44f | [
"MIT"
] | 6 | 2018-11-26T09:48:52.000Z | 2020-02-20T11:46:54.000Z | # -*- coding: utf-8 -*-
import getpass
import json
import logging
from pymongo import MongoClient
LOGGER = logging.getLogger(__name__)
| 23.075 | 78 | 0.633803 |
d8e3de05ad69c6353ea7726191b1fe77d3b073d2 | 53,019 | py | Python | src/StandAlone/inputs/MPM/Arenisca/Arenisca3/AreniscaTestSuite_PostProc.py | abagusetty/Uintah | fa1bf819664fa6f09c5a7cd076870a40816d35c9 | [
"MIT"
] | 3 | 2020-06-10T08:21:31.000Z | 2020-06-23T18:33:16.000Z | src/StandAlone/inputs/MPM/Arenisca/Arenisca3/AreniscaTestSuite_PostProc.py | abagusetty/Uintah | fa1bf819664fa6f09c5a7cd076870a40816d35c9 | [
"MIT"
] | null | null | null | src/StandAlone/inputs/MPM/Arenisca/Arenisca3/AreniscaTestSuite_PostProc.py | abagusetty/Uintah | fa1bf819664fa6f09c5a7cd076870a40816d35c9 | [
"MIT"
] | 2 | 2019-12-30T05:48:30.000Z | 2020-02-12T16:24:16.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
import os
import math
import tempfile
import numpy as np
import subprocess as sub_proc
#Plotting stuff below
from matplotlib import rc
import matplotlib.pyplot as plt
from matplotlib import ticker
SHOW_ON_MAKE = False
#Useful constants
sqrtThree = np.sqrt(3.0)
twoTh... | 35.607119 | 178 | 0.679304 |
d8e5e5365affa814e680e7a3e759ef346addbf29 | 5,156 | py | Python | camDataSub.py | hodoemelem/A-Rapid-Prototyping-Framework-for-Human-Robot-Interaction | 394f72bf894c17bedb5643145b977a3eaffdd5ad | [
"MIT"
] | 2 | 2020-09-14T16:55:50.000Z | 2020-09-17T09:51:26.000Z | camDataSub.py | Law101/A-Rapid-Prototyping-Framework-for-Human-Robot-Interaction | 27f59601990fa2c48b2a0d1c6527885ebbf79cc3 | [
"MIT"
] | null | null | null | camDataSub.py | Law101/A-Rapid-Prototyping-Framework-for-Human-Robot-Interaction | 27f59601990fa2c48b2a0d1c6527885ebbf79cc3 | [
"MIT"
] | 2 | 2020-08-12T09:14:06.000Z | 2020-08-17T19:43:25.000Z | #!~/.virtualenvs/cv420/bin/python
# -*- coding: utf-8 -*-
"""
Author: Henry Ugochukwu Odoemelem
Created: 4-May-2020
"""
import serial
import math
from threading import Thread
import rospy
import time
import numpy as np
from std_msgs.msg import String
ser = serial.Serial('/dev/ttyACM1',9600, timeout=5) # Ti MSP430
... | 30.152047 | 123 | 0.526377 |
d8e6fca1d00b035491b08b64577c6a5b8f8f18d3 | 850 | py | Python | oop-intro/first-oop.py | BicycleWalrus/slop | 300f994cb7d7a58a330fdac1afcd36ffd1da80ff | [
"MIT"
] | null | null | null | oop-intro/first-oop.py | BicycleWalrus/slop | 300f994cb7d7a58a330fdac1afcd36ffd1da80ff | [
"MIT"
] | null | null | null | oop-intro/first-oop.py | BicycleWalrus/slop | 300f994cb7d7a58a330fdac1afcd36ffd1da80ff | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""TPatrick | Alta3 Research
Creating a simple dice program utilizing classes."""
from random import randint
def main():
"""Called at run time"""
player1 = Player()
player2 = Player()
player1.roll()
player2.roll()
print(f"Player 1 rolled {player1.get_dice()}")
... | 20.731707 | 59 | 0.590588 |
d8e7740d5edbf0356e3cb8d4bb1d76a9e629b9f0 | 513 | py | Python | src/__main__.py | bahorn/backup_script | de5809779ddbba8cd4a767f79dfd929848cc2893 | [
"MIT"
] | null | null | null | src/__main__.py | bahorn/backup_script | de5809779ddbba8cd4a767f79dfd929848cc2893 | [
"MIT"
] | null | null | null | src/__main__.py | bahorn/backup_script | de5809779ddbba8cd4a767f79dfd929848cc2893 | [
"MIT"
] | null | null | null | """
A tool to generate scripts using rclone to do backups.
Allows some sanity checking over your config, etc.
The scripts outputted are meant to be human readable.
"""
import sys
import toml
from config import Config
from tool import BackupScript
def main(args):
"""
Entry point for the tool
"""
cfg_... | 19.730769 | 54 | 0.699805 |
d8e7ada0250ca8a5791afd83a8d12695f3d73cec | 2,496 | py | Python | auto_sync.py | AnonyZeus/face-detection | 15c4df4f1d7f72b111fab253b29761ce515c1f65 | [
"MIT"
] | null | null | null | auto_sync.py | AnonyZeus/face-detection | 15c4df4f1d7f72b111fab253b29761ce515c1f65 | [
"MIT"
] | null | null | null | auto_sync.py | AnonyZeus/face-detection | 15c4df4f1d7f72b111fab253b29761ce515c1f65 | [
"MIT"
] | null | null | null | import os
import subprocess
import argparse
import ntpath
import shutil
from extract_embeddings import extract_data
from train_model import train_model
# construct the argument parser and parse the arguments
ap = argparse.ArgumentParser()
ap.add_argument('-p', '--path', required=True,
help='path to gui... | 32.842105 | 69 | 0.632612 |
d8e9bd22610fd3818aa67bc056c53e3bfa6d9b36 | 755 | py | Python | python.py | Xsmael/blockhain-implementation | 984e769c8dadb5c90216ebcf8cd98114a64b8a44 | [
"MIT"
] | 2 | 2020-10-23T09:05:39.000Z | 2021-12-24T09:46:51.000Z | python.py | Xsmael/blockchain-implementation | 984e769c8dadb5c90216ebcf8cd98114a64b8a44 | [
"MIT"
] | null | null | null | python.py | Xsmael/blockchain-implementation | 984e769c8dadb5c90216ebcf8cd98114a64b8a44 | [
"MIT"
] | null | null | null | import json
a= [1,2,3,4,5,6,7,8,9,10]
print(a)
b=[el*2 for el in a] # double everything
print(b)
print([el*10 for el in a]) # 10X everything
print([el for el in a if el%2 ==0]) # filter even nums
print([el for el in a if el%2 !=0]) # filter odd nums
print([el for el in a if el%5 ==0]) # filter multiples of 5
c=... | 19.358974 | 76 | 0.598675 |
d8eaad58d7b1814ad60313792da2ac68313e1f4a | 17,355 | py | Python | unlock/unlock/unlockvisitor.py | joshwatson/f-ing-around-with-binaryninja | 2f7e907952a15305541820ac11ff0a86645c631d | [
"MIT"
] | 88 | 2019-01-13T20:11:13.000Z | 2022-02-08T01:13:46.000Z | unlock/unlock/unlockvisitor.py | joshwatson/f-ing-around-with-binaryninja | 2f7e907952a15305541820ac11ff0a86645c631d | [
"MIT"
] | 4 | 2019-03-20T03:02:49.000Z | 2020-10-31T11:57:56.000Z | unlock/unlock/unlockvisitor.py | joshwatson/f-ing-around-with-binaryninja | 2f7e907952a15305541820ac11ff0a86645c631d | [
"MIT"
] | 10 | 2019-04-26T08:59:56.000Z | 2020-08-19T03:19:27.000Z | # This script requires python 3
import operator as op
import time
from functools import partial
from queue import Queue
from threading import Event
from math import floor
from binaryninja import (
AnalysisCompletionEvent,
Architecture,
ArchitectureHook,
BackgroundTaskThread,
BasicBlock,
BinaryD... | 36.307531 | 156 | 0.587151 |
d8ebc194794e59dcd8ef162cae6d6b84fa4669ac | 763 | py | Python | dynamo/api/views.py | rendrom/django-dynamit | 4280da60212ffd9ad6a8cb96a7eba0890a98fee5 | [
"MIT"
] | 3 | 2015-01-20T18:43:16.000Z | 2015-12-09T06:46:55.000Z | dynamo/api/views.py | rendrom/django-dynamit | 4280da60212ffd9ad6a8cb96a7eba0890a98fee5 | [
"MIT"
] | null | null | null | dynamo/api/views.py | rendrom/django-dynamit | 4280da60212ffd9ad6a8cb96a7eba0890a98fee5 | [
"MIT"
] | null | null | null | # coding=utf-8
from dynamo.api.serializers import DynamicModelSerializer, DynamicModelFieldSerializer
from dynamo.models import DynamicModel, DynamicModelField
from rest_framework import viewsets
from rest_framework import generics
from rest_framework.renderers import TemplateHTMLRenderer, JSONRenderer, HTMLFormRendere... | 33.173913 | 89 | 0.815203 |
d8ed26209b16c6c00b3fa2dd0c09b4e95248b9e4 | 2,610 | py | Python | kfusiontables/models.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | 4 | 2016-04-10T10:27:36.000Z | 2018-10-12T13:45:25.000Z | kfusiontables/models.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | 2 | 2020-06-05T17:30:32.000Z | 2021-06-01T21:52:49.000Z | kfusiontables/models.py | kula1922/kfusiontables | 149ddaddb95319a237bb94525db17b1b3a5ac66f | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from django.db import models
from django.db.models.signals import post_save
from django.utils.translation import ugettext_lazy as _
# class TestModel1(KFTModel):
# test_field11 = models.CharField(max_length=255)
# test_field12 = models.CharField(max_length=255)
#... | 27.1875 | 70 | 0.64023 |
d8ef265acf8897e2f70f1e1cd7424d751513cc0c | 480 | py | Python | cdk/stacks/bucket_stack.py | trdarr/ebooks2 | f3aaa7ac90796405f23bdc7c08c3b1d79c03b57c | [
"Apache-2.0"
] | null | null | null | cdk/stacks/bucket_stack.py | trdarr/ebooks2 | f3aaa7ac90796405f23bdc7c08c3b1d79c03b57c | [
"Apache-2.0"
] | null | null | null | cdk/stacks/bucket_stack.py | trdarr/ebooks2 | f3aaa7ac90796405f23bdc7c08c3b1d79c03b57c | [
"Apache-2.0"
] | null | null | null | from aws_cdk import aws_s3 as s3
from aws_cdk import core
| 30 | 66 | 0.641667 |
d8f1098b74f0861cbf64404f75ae544f49b9969a | 1,617 | py | Python | src/products/migrations/0006_ShippableFullName.py | denkasyanov/education-backend | c796b6f2f1cc1cd09f83cab2ca0cc45344906ef5 | [
"MIT"
] | 151 | 2020-04-21T09:58:57.000Z | 2021-09-12T09:01:21.000Z | src/products/migrations/0006_ShippableFullName.py | tlgtaa/education-backend | 86f8af315f9cff2c1fd19406899d593fc0852124 | [
"MIT"
] | 163 | 2020-05-29T20:52:00.000Z | 2021-09-11T12:44:56.000Z | src/products/migrations/0006_ShippableFullName.py | boochamoocha/education-backend | c6ffb0c00bc066c8f1e0a8c0ffe4d0215c7c416a | [
"MIT"
] | 39 | 2020-04-21T12:28:16.000Z | 2021-09-12T15:33:47.000Z | # Generated by Django 2.2.7 on 2019-11-15 21:48
from django.db import migrations, models
| 39.439024 | 177 | 0.622758 |
d8f21d41b8c07b30108c551d5f9b8476610f53e3 | 2,286 | py | Python | convert_xml_to_xls.py | CharlesBuy/pyxmlspreadsheet | 9ac2064c5c44a3800c3ff8892292d12fbd57d27b | [
"MIT"
] | null | null | null | convert_xml_to_xls.py | CharlesBuy/pyxmlspreadsheet | 9ac2064c5c44a3800c3ff8892292d12fbd57d27b | [
"MIT"
] | null | null | null | convert_xml_to_xls.py | CharlesBuy/pyxmlspreadsheet | 9ac2064c5c44a3800c3ff8892292d12fbd57d27b | [
"MIT"
] | null | null | null | #
# - Very simple code to convert from office spreadsheet to xls
#
# Sneldev.com
#
import sys
import xml.etree.ElementTree as ET
import xlwt
from dateutil.parser import parse
#This Small Class convert a xml cell to a text and a style
#as can be put in an xlwt worksheet
def convert_xml_spreadsheet_to_xls(in_pat... | 26.275862 | 76 | 0.701225 |
d8f42c7c77c2b0e46f931f93315cbe27842772f0 | 3,226 | py | Python | 01_tsv_to_csv_clean_fix.py | dmitry-dereshev/IMDb | 4e6190c1cc7796cdb93c4d9371489f9456668d6f | [
"MIT"
] | null | null | null | 01_tsv_to_csv_clean_fix.py | dmitry-dereshev/IMDb | 4e6190c1cc7796cdb93c4d9371489f9456668d6f | [
"MIT"
] | null | null | null | 01_tsv_to_csv_clean_fix.py | dmitry-dereshev/IMDb | 4e6190c1cc7796cdb93c4d9371489f9456668d6f | [
"MIT"
] | null | null | null | # Part of IMDb project by Dmitry Dereshev. 2019 MIT Licence.
# https://github.com/dmitry-dereshev/IMDb
# This script looks through a folder to pick up .tsv files, remove '\N', and
# convert them to Unicode-compliant .csv files.
# Original data from: https://www.imdb.com/interfaces/
import pandas as pd
import ... | 41.896104 | 81 | 0.658091 |
d8fb49a90f9174322ebd083eba9983eb62d92ca9 | 5,461 | py | Python | beryllia/util.py | examknow/beryllia | 7d4bfeabe8864aa6de6afc60a89d43ff8cf150ec | [
"MIT"
] | null | null | null | beryllia/util.py | examknow/beryllia | 7d4bfeabe8864aa6de6afc60a89d43ff8cf150ec | [
"MIT"
] | null | null | null | beryllia/util.py | examknow/beryllia | 7d4bfeabe8864aa6de6afc60a89d43ff8cf150ec | [
"MIT"
] | null | null | null | import re, traceback
from datetime import timedelta
from ipaddress import ip_address, IPv4Address, IPv6Address
from ipaddress import ip_network, IPv4Network, IPv6Network
from typing import List, Optional, Set, Tuple, Union
from ircrobots import Server
from irctokens import build
from ircchallenge import Ch... | 30.005495 | 70 | 0.607215 |
d8fc2a47ff67867fbf24de3c6a0989cf0e7d1504 | 106 | py | Python | app/order_api/__init__.py | peterboldizs/Hands-on-Microservices-with-Python-Order-Service | a5dede8a2c04ed9b748a65f33d183b96499e9c94 | [
"MIT"
] | 14 | 2019-02-13T00:08:33.000Z | 2021-10-04T06:37:04.000Z | app/order_api/__init__.py | peterboldizs/Hands-on-Microservices-with-Python-Order-Service | a5dede8a2c04ed9b748a65f33d183b96499e9c94 | [
"MIT"
] | 1 | 2020-05-14T12:34:50.000Z | 2020-10-25T17:45:51.000Z | app/order_api/__init__.py | peterboldizs/Hands-on-Microservices-with-Python-Order-Service | a5dede8a2c04ed9b748a65f33d183b96499e9c94 | [
"MIT"
] | 21 | 2019-01-26T09:53:47.000Z | 2021-11-09T23:26:14.000Z | from flask import Blueprint
order_api_blueprint = Blueprint('order_api', __name__)
from . import routes | 17.666667 | 54 | 0.801887 |
d8fedc190540c35b3a505fff6934e0015a2f67d4 | 136 | py | Python | hookit/exc.py | xhs/hookit | f3be94779ce628583caf43663d22288f47588ea5 | [
"BSD-2-Clause"
] | 1 | 2020-04-06T20:53:27.000Z | 2020-04-06T20:53:27.000Z | hookit/exc.py | xhs/hookit | f3be94779ce628583caf43663d22288f47588ea5 | [
"BSD-2-Clause"
] | null | null | null | hookit/exc.py | xhs/hookit | f3be94779ce628583caf43663d22288f47588ea5 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__all__ = ['HookitConnectionError']
| 13.6 | 39 | 0.683824 |
d8ff6bd51bd1471d74da2d3d069253e4211178d6 | 861 | py | Python | AutoRecon-main/autorecon/default-plugins/nmap-oracle.py | Nano-Techx/nano-tool | 6907cbaa3251ba9e47ab634b6e1a656002b3672b | [
"Apache-2.0"
] | null | null | null | AutoRecon-main/autorecon/default-plugins/nmap-oracle.py | Nano-Techx/nano-tool | 6907cbaa3251ba9e47ab634b6e1a656002b3672b | [
"Apache-2.0"
] | null | null | null | AutoRecon-main/autorecon/default-plugins/nmap-oracle.py | Nano-Techx/nano-tool | 6907cbaa3251ba9e47ab634b6e1a656002b3672b | [
"Apache-2.0"
] | null | null | null | from autorecon.plugins import ServiceScan
| 47.833333 | 266 | 0.727062 |
2b00301fe4460a0816e4fff761378d681f7934fd | 5,005 | py | Python | samsungctl/upnp/UPNP_Device/upnp_class.py | p3g4asus/samsungctl | 90756acc7ac210e37bbfa23dccf1ca3113e55154 | [
"MIT"
] | 135 | 2018-11-23T10:49:42.000Z | 2022-03-20T05:42:40.000Z | samsungctl/upnp/UPNP_Device/upnp_class.py | p3g4asus/samsungctl | 90756acc7ac210e37bbfa23dccf1ca3113e55154 | [
"MIT"
] | 114 | 2018-11-25T00:18:31.000Z | 2022-02-24T02:33:59.000Z | samsungctl/upnp/UPNP_Device/upnp_class.py | p3g4asus/samsungctl | 90756acc7ac210e37bbfa23dccf1ca3113e55154 | [
"MIT"
] | 42 | 2018-12-01T19:58:13.000Z | 2021-11-13T16:35:46.000Z | # -*- coding: utf-8 -*-
import requests
import os
from lxml import etree
try:
from urlparse import urlparse
except ImportError:
from urllib.parse import urlparse
try:
from .xmlns import strip_xmlns
from .service import Service
from .embedded_device import EmbeddedDevice
from .instance_singlet... | 29.615385 | 72 | 0.497303 |
2b01580378afa92e53e9be55b04e4282dd5ebf24 | 2,128 | py | Python | sweden_crs_transformations/transformation/_transform_strategy_from_sweref99_or_rt90_to_wgs84_and_then_to_real_target.py | TomasJohansson/sweden_crs_transformations_4python | d4c0ae1bab2e0f505f3e6f948c1b31b3bf397f04 | [
"MIT"
] | 1 | 2021-10-02T20:05:59.000Z | 2021-10-02T20:05:59.000Z | sweden_crs_transformations/transformation/_transform_strategy_from_sweref99_or_rt90_to_wgs84_and_then_to_real_target.py | TomasJohansson/sweden_crs_transformations_4python | d4c0ae1bab2e0f505f3e6f948c1b31b3bf397f04 | [
"MIT"
] | null | null | null | sweden_crs_transformations/transformation/_transform_strategy_from_sweref99_or_rt90_to_wgs84_and_then_to_real_target.py | TomasJohansson/sweden_crs_transformations_4python | d4c0ae1bab2e0f505f3e6f948c1b31b3bf397f04 | [
"MIT"
] | null | null | null | """
| Copyright (c) Tomas Johansson , http://www.programmerare.com
| The code in this library is licensed with MIT.
| The library is based on the C#.NET library 'sweden_crs_transformations_4net' (https://github.com/TomasJohansson/sweden_crs_transformations_4net)
| which in turn is based on 'MightyLittleGeodesy' (https:... | 60.8 | 146 | 0.795113 |
2b02c86c51be0110fc69ffb8a602eddb65cafeb9 | 14,832 | py | Python | frontend/utils.py | fiamonci/covidapi | 8640f07ed227a410592b57c3ee8f920de7e9efbc | [
"MIT"
] | null | null | null | frontend/utils.py | fiamonci/covidapi | 8640f07ed227a410592b57c3ee8f920de7e9efbc | [
"MIT"
] | null | null | null | frontend/utils.py | fiamonci/covidapi | 8640f07ed227a410592b57c3ee8f920de7e9efbc | [
"MIT"
] | null | null | null | import plotly.offline as py
import plotly.graph_objs as go
import plotly.figure_factory as ff
import pandas as pd
import numpy as np
| 48.950495 | 207 | 0.68541 |
2b042d2ba8d298c0c460075d008cdbddf6e17de2 | 1,349 | py | Python | pyglobi/__init__.py | nicholac/pyglobi | aeebc6f80694e10dc8d23a8bb3ce030beaafaa2a | [
"MIT"
] | null | null | null | pyglobi/__init__.py | nicholac/pyglobi | aeebc6f80694e10dc8d23a8bb3ce030beaafaa2a | [
"MIT"
] | null | null | null | pyglobi/__init__.py | nicholac/pyglobi | aeebc6f80694e10dc8d23a8bb3ce030beaafaa2a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# PyGlobi
# TODO:
"""
PyGlobi Library
~~~~~~~~~~~~~~~~~~~~~
Python API for the Global Biotic Interactions (GloBI) dataset.
Basic usage:
>>> import pyglobi
>>> ...
"""
import os
import json
import warnings
from .__version__ import __title__, __description__, __url__, __version__
from .... | 24.527273 | 110 | 0.704967 |
2b053c0e6b71e75465a34afd8fb4265916c8513c | 1,023 | py | Python | Kryptografie/Python/caesar.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 2 | 2020-09-24T12:11:16.000Z | 2022-03-31T04:47:24.000Z | Kryptografie/Python/caesar.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 1 | 2021-02-27T15:06:27.000Z | 2021-03-01T16:32:48.000Z | Kryptografie/Python/caesar.py | jneug/schule-projekte | 4f1d56d6bb74a47ca019cf96d2d6cc89779803c9 | [
"MIT"
] | 1 | 2021-02-24T05:12:35.000Z | 2021-02-24T05:12:35.000Z |
#print(ceasear_decode(ceasear_encode("HalloWelt", "F"), "F"))
msg = """
MRN BRLQNAQNRC NRWNA PNQNRVBLQAROC
MJAO WDA EXW MNA PNQNRVQJUCDWP
MNB BLQUDNBBNUB JKQJNWPNW, WRLQC
SNMXLQ EXW MNA PNQNRVQJUCDWP MNA
ENABLQUDNBBNUDWPBVNCQXMN.
"""
for key in "ABCDEFGHIJKLMNOPQRSTUVWXYZ":
#for key in "J":
print(key + ": " + ce... | 24.95122 | 61 | 0.560117 |
2b05907c4600d74b79aca24030c6eae03f6a269e | 8,259 | py | Python | tools/lathethreadingtool.py | codemakeshare/g-mint | 1a7638631a2e212780a7de13dd8034ca1413fb1f | [
"Unlicense"
] | 1 | 2020-03-04T22:30:18.000Z | 2020-03-04T22:30:18.000Z | tools/lathethreadingtool.py | codemakeshare/g-mint | 1a7638631a2e212780a7de13dd8034ca1413fb1f | [
"Unlicense"
] | null | null | null | tools/lathethreadingtool.py | codemakeshare/g-mint | 1a7638631a2e212780a7de13dd8034ca1413fb1f | [
"Unlicense"
] | 1 | 2020-06-26T18:55:26.000Z | 2020-06-26T18:55:26.000Z | from guifw.abstractparameters import *
from geometry import *
from solids import *
import multiprocessing as mp
import time
import pyclipper
from polygons import *
from gcode import *
from collections import OrderedDict
| 48.582353 | 170 | 0.606974 |
2b060bdf689bdc4fce8834af57f1155f949eb1a2 | 3,737 | py | Python | tests/fiaas_deploy_daemon/test_logsetup.py | ariadnarouco/fiaas-deploy-daemon | 644c09e79f6f07bd85ca9153e731755836f7e454 | [
"Apache-2.0"
] | 57 | 2017-09-13T09:30:04.000Z | 2022-03-23T12:00:56.000Z | tests/fiaas_deploy_daemon/test_logsetup.py | ariadnarouco/fiaas-deploy-daemon | 644c09e79f6f07bd85ca9153e731755836f7e454 | [
"Apache-2.0"
] | 113 | 2019-02-26T16:10:13.000Z | 2022-03-31T13:11:03.000Z | tests/fiaas_deploy_daemon/test_logsetup.py | ariadnarouco/fiaas-deploy-daemon | 644c09e79f6f07bd85ca9153e731755836f7e454 | [
"Apache-2.0"
] | 30 | 2019-02-22T11:16:24.000Z | 2022-03-21T22:37:52.000Z | #!/usr/bin/env python
# -*- coding: utf-8
# Copyright 2017-2019 The FIAAS 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
#
# Unle... | 39.336842 | 109 | 0.661226 |
2b066e4df5230c4aa951723634c68a3d9f727def | 1,430 | py | Python | vibromaf/signal/spectrum.py | hofbi/vibromaf | 7678042d18fa3b4ab006283bdbd1b1cc6d84e822 | [
"MIT"
] | 1 | 2022-03-11T19:56:59.000Z | 2022-03-11T19:56:59.000Z | vibromaf/signal/spectrum.py | hofbi/vibromaf | 7678042d18fa3b4ab006283bdbd1b1cc6d84e822 | [
"MIT"
] | null | null | null | vibromaf/signal/spectrum.py | hofbi/vibromaf | 7678042d18fa3b4ab006283bdbd1b1cc6d84e822 | [
"MIT"
] | null | null | null | """Spectrum module"""
import numpy as np
from scipy.stats import norm
def pow2db(power: np.array) -> np.array:
"""
Convert power to decibels
https://de.mathworks.com/help/signal/ref/pow2db.html
"""
return 10.0 * np.log10(power)
def db2pow(decibel: np.array) -> np.array:
"""
Convert deci... | 27.5 | 93 | 0.678322 |
2b0823806306e95de80b37510219b6b55f6cacc5 | 1,484 | py | Python | src/condor_tests/ornithology/io.py | sridish123/htcondor | 481d975fd8602242f6a052aab04e20b0b560db89 | [
"Apache-2.0"
] | 217 | 2015-01-08T04:49:42.000Z | 2022-03-27T10:11:58.000Z | src/condor_tests/ornithology/io.py | sridish123/htcondor | 481d975fd8602242f6a052aab04e20b0b560db89 | [
"Apache-2.0"
] | 185 | 2015-05-03T13:26:31.000Z | 2022-03-28T03:08:59.000Z | src/condor_tests/ornithology/io.py | sridish123/htcondor | 481d975fd8602242f6a052aab04e20b0b560db89 | [
"Apache-2.0"
] | 133 | 2015-02-11T09:17:45.000Z | 2022-03-31T07:28:54.000Z | # Copyright 2019 HTCondor Team, Computer Sciences Department,
# University of Wisconsin-Madison, WI.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICE... | 29.68 | 74 | 0.703504 |
2b08787effb6f7bbb1ae2706ee9a8d4b32070149 | 1,057 | py | Python | pfproject_py/pfgrid.py | assassin945/PixelFight | eca26825dcba17748a5f5c1e9f778aecd3824a4c | [
"Apache-2.0"
] | 2 | 2018-06-27T09:14:18.000Z | 2018-08-30T06:51:33.000Z | pfproject_py/pfgrid.py | assassin945/PixelFight | eca26825dcba17748a5f5c1e9f778aecd3824a4c | [
"Apache-2.0"
] | 5 | 2018-07-23T14:41:14.000Z | 2018-09-07T15:48:18.000Z | pfproject_py/pfgrid.py | assassin945/PixelFight | eca26825dcba17748a5f5c1e9f778aecd3824a4c | [
"Apache-2.0"
] | 3 | 2018-07-17T08:11:52.000Z | 2018-07-23T14:56:50.000Z | # !/usr/bin/env python3
# -*- coding:utf-8 -*-
__author__ = 'Zhiquan Wang'
__date__ = '2018/7/20 22:01'
import taginfo
| 21.571429 | 81 | 0.631977 |
2b09e8fb8c2377d4b204c8e5bd9ec89132b62561 | 63 | py | Python | example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/natural unit of mom.um in MeVc.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/natural unit of mom.um in MeVc.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | null | null | null | example_snippets/multimenus_snippets/Snippets/SciPy/Physical and mathematical constants/CODATA physical constants/N/natural unit of mom.um in MeVc.py | kuanpern/jupyterlab-snippets-multimenus | 477f51cfdbad7409eab45abe53cf774cd70f380c | [
"BSD-3-Clause"
] | 1 | 2021-02-04T04:51:48.000Z | 2021-02-04T04:51:48.000Z | constants.physical_constants["natural unit of mom.um in MeV/c"] | 63 | 63 | 0.809524 |
2b0b1bcf8749b5f91f257d238294fcd8a57644ba | 1,937 | py | Python | tools/console.py | mhlyv/pico-chip8 | 79bc711efff5f3a41e2337479bac494d92e692e4 | [
"MIT"
] | null | null | null | tools/console.py | mhlyv/pico-chip8 | 79bc711efff5f3a41e2337479bac494d92e692e4 | [
"MIT"
] | null | null | null | tools/console.py | mhlyv/pico-chip8 | 79bc711efff5f3a41e2337479bac494d92e692e4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import serial
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("device", help="serial device to use")
parser.add_argument("-b", "--baud-rate", type=int,
default=115200, help="baud rate")
args = parser.parse_args()
with serial.Serial(args.device, a... | 25.486842 | 59 | 0.560661 |
2b0ce403c03f0519f9677bbe421d799dc6a7ca76 | 1,056 | py | Python | api/handler.py | ClayAssis/HEALTH-INSURANCE-CROSS-SELL-PREDICTION | 58bac40dcadb2362d5d8e34432d9449f8da61847 | [
"MIT"
] | 3 | 2021-03-05T01:24:48.000Z | 2021-11-12T08:45:34.000Z | api/handler.py | juniorcl/health-insurance-cross-sell | ccc87c2434515a76033d300318c88ad32ac9e4e9 | [
"MIT"
] | null | null | null | api/handler.py | juniorcl/health-insurance-cross-sell | ccc87c2434515a76033d300318c88ad32ac9e4e9 | [
"MIT"
] | null | null | null | import joblib
import pandas as pd
from crosssell.CrossSell import CrossSell
from flask import Flask, request, Response
## Loading Model
model = joblib.load('../models/linear_regression_cycle1.joblib')
## initialize API
app = Flask(__name__)
if __name__ == '__main__':
app.run('0.0.0.0') | 27.789474 | 75 | 0.641098 |
2b0dec138c697b4b42c64693eee5949362ef9ae5 | 1,348 | py | Python | tests/models/FiBiNET_test.py | shenweichen/mlmodels | 9564e05ce9b33d6bf2a15779ef6a42831869c390 | [
"Apache-2.0"
] | null | null | null | tests/models/FiBiNET_test.py | shenweichen/mlmodels | 9564e05ce9b33d6bf2a15779ef6a42831869c390 | [
"Apache-2.0"
] | null | null | null | tests/models/FiBiNET_test.py | shenweichen/mlmodels | 9564e05ce9b33d6bf2a15779ef6a42831869c390 | [
"Apache-2.0"
] | null | null | null | import pytest
from deepctr.models import FiBiNET
from ..utils import check_model, SAMPLE_SIZE, get_test_data, get_test_data_estimator, check_estimator, TEST_Estimator
if __name__ == "__main__":
pass
| 31.348837 | 118 | 0.686944 |
2b0e26f01928bb2f1303c33ac10800c50f095491 | 2,139 | py | Python | storm/internal_types/asgi/events.py | Rud356/Storm | 18f8b7ac89babf9252da28c39c2cc84087f2afaf | [
"Apache-2.0"
] | 1 | 2022-03-18T18:14:34.000Z | 2022-03-18T18:14:34.000Z | storm/internal_types/asgi/events.py | Rud356/Storm | 18f8b7ac89babf9252da28c39c2cc84087f2afaf | [
"Apache-2.0"
] | 1 | 2021-12-23T19:39:27.000Z | 2021-12-23T19:39:27.000Z | storm/internal_types/asgi/events.py | Rud356/Storm | 18f8b7ac89babf9252da28c39c2cc84087f2afaf | [
"Apache-2.0"
] | null | null | null | from abc import ABC, abstractmethod
from .base_event import Event
from .supported_types import ASGI_SUPPORTED_TYPES
| 23.505495 | 72 | 0.616176 |
2b0ea7efdc61f1404f5f267f63e7be99818357ef | 68 | py | Python | config/models/transformer.py | IdiosyncraticDragon/OpenNMT-tf | 99f17c2c2436b45d8a730c662530f4428f9632ca | [
"MIT"
] | 2 | 2018-09-28T14:44:59.000Z | 2018-11-29T02:31:28.000Z | config/models/transformer.py | Nourhene95/Film_Translation | 52538d992abcce044911ee945ffaabd1d12ffe9d | [
"MIT"
] | null | null | null | config/models/transformer.py | Nourhene95/Film_Translation | 52538d992abcce044911ee945ffaabd1d12ffe9d | [
"MIT"
] | 1 | 2019-06-17T21:36:56.000Z | 2019-06-17T21:36:56.000Z | from opennmt.models.catalog import Transformer
model = Transformer
| 17 | 46 | 0.838235 |
2b0f87558bc92d619153ec9ee193a6afb9815e65 | 486 | py | Python | config.py | ilpan/feishu-errbot-backend | 74f17d084a13d5d5f0e2963a88463836abc3d5ad | [
"MIT"
] | 3 | 2021-01-14T02:14:26.000Z | 2022-01-16T07:09:38.000Z | config.py | ilpan/feishu-errbot-backend | 74f17d084a13d5d5f0e2963a88463836abc3d5ad | [
"MIT"
] | null | null | null | config.py | ilpan/feishu-errbot-backend | 74f17d084a13d5d5f0e2963a88463836abc3d5ad | [
"MIT"
] | null | null | null | import logging
BACKEND = 'Feishu'
BOT_EXTRA_BACKEND_DIR = r'<path/to/feishu-errbot-backend>'
BOT_DATA_DIR = r'<path/to/your/errbot/data/directory>'
BOT_EXTRA_PLUGIN_DIR = r'<path/to/your/errbot/plugin/directory>'
BOT_LOG_FILE = r'<path/to/your/errbot/logfile.log>'
BOT_LOG_LEVEL = logging.INFO
BOT_IDENTITY = {
"... | 23.142857 | 64 | 0.683128 |
2b105c6ec493d288ffb236a0479b79d6962b4217 | 2,422 | py | Python | plotly/tests/test_core/test_graph_objs/test_frames.py | SamLau95/plotly.py | 7dd4ddd4e18e79ff30cec3ef331fa2f8949ed1bd | [
"MIT"
] | 2 | 2018-02-06T10:43:31.000Z | 2018-08-11T02:43:38.000Z | plotly/tests/test_core/test_graph_objs/test_frames.py | SamLau95/plotly.py | 7dd4ddd4e18e79ff30cec3ef331fa2f8949ed1bd | [
"MIT"
] | 1 | 2022-02-17T16:47:20.000Z | 2022-02-17T16:47:20.000Z | plotly/tests/test_core/test_graph_objs/test_frames.py | SamLau95/plotly.py | 7dd4ddd4e18e79ff30cec3ef331fa2f8949ed1bd | [
"MIT"
] | 2 | 2018-02-13T10:40:10.000Z | 2021-06-04T11:15:53.000Z | from __future__ import absolute_import
from unittest import TestCase
from plotly import exceptions
from plotly.graph_objs import Bar, Frames
| 30.275 | 75 | 0.526837 |
2b10c856b49f877d086d499a00dcb3bd008295be | 317 | py | Python | build/lib/pyhpeimc/version.py | HPNetworking/HP-Intelligent-Management-Center | 4fba31827573587e03a6233c7db60f188038c8e5 | [
"Apache-2.0"
] | 13 | 2016-03-14T17:55:03.000Z | 2021-03-26T07:18:26.000Z | build/lib/pyhpeimc/version.py | HPNetworking/HP-Intelligent-Management-Center | 4fba31827573587e03a6233c7db60f188038c8e5 | [
"Apache-2.0"
] | 7 | 2016-08-04T17:39:11.000Z | 2017-09-19T13:42:35.000Z | build/lib/pyhpeimc/version.py | HPNetworking/HP-Intelligent-Management-Center | 4fba31827573587e03a6233c7db60f188038c8e5 | [
"Apache-2.0"
] | 17 | 2016-03-03T05:24:20.000Z | 2022-03-10T08:16:31.000Z | def version():
"""Function takes no aruguments and returns a STR value of the current version of the library. This value should match
the value in the setup.py
:param None
:return str value of the current version of the library
:rtype str
>>> version()
1.0.33
"""
print ('1.0.34') | 28.818182 | 122 | 0.652997 |
2b121fd3a533e1e023e1b1b4e531b0bbc5c02d6c | 621 | py | Python | main.py | m-zakeri/ADAFEST | d13f73682aecded34b4e8fa203435e56dd7a280a | [
"MIT"
] | 2 | 2022-01-04T14:47:35.000Z | 2022-02-23T07:14:11.000Z | main.py | m-zakeri/ADAFEST | d13f73682aecded34b4e8fa203435e56dd7a280a | [
"MIT"
] | 1 | 2021-03-20T07:25:30.000Z | 2021-03-20T07:25:30.000Z | main.py | m-zakeri/ADAFEST | d13f73682aecded34b4e8fa203435e56dd7a280a | [
"MIT"
] | 1 | 2022-02-23T07:14:13.000Z | 2022-02-23T07:14:13.000Z | """
The main module of DAFEST project.
ADAFEST is an abbreviation: 'A Data-Driven Approach to Estimating / Evaluating Software Testability'
The full version of source code will be available
as soon as the relevant paper(s) are published.
"""
# Main driver
if __name__ == '__main__':
Main.print_welcome('ADAFES... | 20.7 | 101 | 0.648953 |
2b13cf925d2143fd46f25a0033b59099257a98a3 | 1,746 | py | Python | rsm/scripts/download_ravdess.py | Cerenaut/rsm | 33bf8a3a620b46b5180280f2ca5f0b28c168b806 | [
"Apache-2.0"
] | null | null | null | rsm/scripts/download_ravdess.py | Cerenaut/rsm | 33bf8a3a620b46b5180280f2ca5f0b28c168b806 | [
"Apache-2.0"
] | null | null | null | rsm/scripts/download_ravdess.py | Cerenaut/rsm | 33bf8a3a620b46b5180280f2ca5f0b28c168b806 | [
"Apache-2.0"
] | null | null | null | """Downloads the RAVDESS Video Dataset."""
import os
import sys
import zipfile
import argparse
import urllib.request
NUM_ACTORS = 24
DATA_TYPES = ['song', 'speech']
BASE_DOWNLOAD_URL = 'https://zenodo.org/record/1188976/files/{0}?download=1'
if __name__ == '__main__':
parser = argparse.ArgumentParser(descriptio... | 32.333333 | 76 | 0.667239 |
2b143c83842d129d2bd45478b75903d5f38b5a19 | 2,652 | py | Python | src/gruenbeck/requests/__init__.py | xancoder/gruenbeck | f6d6e8a27156d56017227a5ed3b79e22eacd8cda | [
"MIT"
] | null | null | null | src/gruenbeck/requests/__init__.py | xancoder/gruenbeck | f6d6e8a27156d56017227a5ed3b79e22eacd8cda | [
"MIT"
] | null | null | null | src/gruenbeck/requests/__init__.py | xancoder/gruenbeck | f6d6e8a27156d56017227a5ed3b79e22eacd8cda | [
"MIT"
] | null | null | null | import random
import xml.etree.ElementTree
import requests
if __name__ == '__main__':
host_device = 'softliq-sc-ae-85-48'
input_data = {
'D_Y_2_1': {'access': 'read', 'device': '', 'value': 'Int', 'unit': '[l]', 'code': '', 'note': 'gestern'},
'D_Y_2_2': {'access': 'read', 'device': '', 'val... | 47.357143 | 120 | 0.519608 |
2b15a1c0f5ad60d718b6c7f18324b75ebd770597 | 980 | py | Python | lambdata_trevorjames/function_tests.py | trevorwjames/lamdata | d8d5cf76ca602b48378bb7fabf6fa449f1bcfbe3 | [
"MIT"
] | null | null | null | lambdata_trevorjames/function_tests.py | trevorwjames/lamdata | d8d5cf76ca602b48378bb7fabf6fa449f1bcfbe3 | [
"MIT"
] | null | null | null | lambdata_trevorjames/function_tests.py | trevorwjames/lamdata | d8d5cf76ca602b48378bb7fabf6fa449f1bcfbe3 | [
"MIT"
] | 2 | 2020-08-04T22:39:08.000Z | 2020-08-04T22:54:45.000Z | """
Tests for python modules
"""
import unittest
# testing two different functions in my package
from lambdata_trevorjames.things import Character, Wizard
# import from other modules for testing
if __name__ == '__main__':
# running tests in order to see results
unittest.main()
| 27.222222 | 57 | 0.654082 |
2b16a535bcae8dcd09c9ae870ae1f7e59457011b | 1,737 | py | Python | barbados_stockex_scraper/spiders/bb_trading.py | chrisdev/barbados_stockex_scraper | ecc59f1a9492f409569cf32e544cd1313fd8ce12 | [
"BSD-2-Clause"
] | 1 | 2021-02-23T18:16:53.000Z | 2021-02-23T18:16:53.000Z | barbados_stockex_scraper/spiders/bb_trading.py | chrisdev/barbados_stockex_scraper | ecc59f1a9492f409569cf32e544cd1313fd8ce12 | [
"BSD-2-Clause"
] | null | null | null | barbados_stockex_scraper/spiders/bb_trading.py | chrisdev/barbados_stockex_scraper | ecc59f1a9492f409569cf32e544cd1313fd8ce12 | [
"BSD-2-Clause"
] | null | null | null | from scrapy.spider import Spider
from dateutil.parser import parse
from datetime import date
from barbados_stockex_scraper.items import PDFItem
from dateutil import rrule
from dateutil.rrule import MO, TU, WE, TH, FR
| 28.016129 | 77 | 0.520438 |
2b16f338f13153834cde006c723c1e402d28968c | 1,472 | py | Python | bin/tools/test_cam.py | wew84/cnn_hmi | c63e382e98cdd51957ff81a597736657414a6bfc | [
"BSD-3-Clause"
] | null | null | null | bin/tools/test_cam.py | wew84/cnn_hmi | c63e382e98cdd51957ff81a597736657414a6bfc | [
"BSD-3-Clause"
] | null | null | null | bin/tools/test_cam.py | wew84/cnn_hmi | c63e382e98cdd51957ff81a597736657414a6bfc | [
"BSD-3-Clause"
] | null | null | null | import rospy
import numpy as np
import timeit
COMPRESSED = False
if not COMPRESSED:
from cv_bridge import CvBridge, CvBridgeError
from sensor_msgs.msg import Image
else:
import numpy as np
import cv2
from sensor_msgs.msg import CompressedImage
| 32.711111 | 99 | 0.593071 |
2b17035de60c15c61d7636a22a9a1746df778887 | 2,023 | py | Python | amplify/backend/function/plateletImageResize/src/index.py | LamVu1/platelet | 507a27d969dbaaaa07b1965304d9ad2d24d27c3e | [
"Apache-2.0"
] | 17 | 2021-12-09T18:08:24.000Z | 2022-03-01T16:47:11.000Z | amplify/backend/function/plateletImageResize/src/index.py | LamVu1/platelet | 507a27d969dbaaaa07b1965304d9ad2d24d27c3e | [
"Apache-2.0"
] | 42 | 2021-12-20T06:06:39.000Z | 2022-03-31T15:03:17.000Z | amplify/backend/function/plateletImageResize/src/index.py | LamVu1/platelet | 507a27d969dbaaaa07b1965304d9ad2d24d27c3e | [
"Apache-2.0"
] | 3 | 2022-01-24T21:33:47.000Z | 2022-03-01T01:13:23.000Z | import boto3
import os
import uuid
from urllib.parse import unquote_plus
from PIL import Image
s3_client = boto3.client('s3')
| 42.145833 | 119 | 0.726149 |
2b17a8352db68cd83f8a03d2583f377bb8f97052 | 2,572 | py | Python | Source Code/10 fold cross validation using LightGBM .py | AbhibhavS/AE-LGBM | 7d8b34d6ccde1ccd3d699b390062ae6e633262b4 | [
"CC0-1.0"
] | null | null | null | Source Code/10 fold cross validation using LightGBM .py | AbhibhavS/AE-LGBM | 7d8b34d6ccde1ccd3d699b390062ae6e633262b4 | [
"CC0-1.0"
] | null | null | null | Source Code/10 fold cross validation using LightGBM .py | AbhibhavS/AE-LGBM | 7d8b34d6ccde1ccd3d699b390062ae6e633262b4 | [
"CC0-1.0"
] | null | null | null | import os
import numpy as np
import pandas as pd
import math
import lightgbm as lgb
from sklearn.metrics import confusion_matrix
#os.chdir('C:/Protein')
# load or create your dataset
Mydata = pd.read_csv("gbm_human.csv", header=0)
Mydata.columns.name = None
data = Mydata.drop(Mydata.columns[Mydata.... | 29.227273 | 118 | 0.573095 |
2b1b08509332211dbdbe0e4a8bf69d56ff2dbde5 | 796 | py | Python | files/tag_analysis/test_grapher.py | AzureBlueCobalt/analyze-gelbooru | 694b6e843c06942b3d6110e79e083b9ab71214b9 | [
"MIT"
] | null | null | null | files/tag_analysis/test_grapher.py | AzureBlueCobalt/analyze-gelbooru | 694b6e843c06942b3d6110e79e083b9ab71214b9 | [
"MIT"
] | null | null | null | files/tag_analysis/test_grapher.py | AzureBlueCobalt/analyze-gelbooru | 694b6e843c06942b3d6110e79e083b9ab71214b9 | [
"MIT"
] | null | null | null | import numpy as np
from sklearn.decomposition import PCA
import matplotlib.pyplot as plt
num_samples, num_dimensions = 100000, 100
X = np.random.rand(num_samples, num_dimensions)
data_to_2d_heatmap(X)
| 25.677419 | 71 | 0.687186 |
2b1cf572c9e797e9fc55f7cc6186a4489a738b0b | 4,693 | py | Python | tensor2tensor/data_generators/tokenizer.py | vohoaiviet/tensor2tensor | c2bd023ab7fc8ca0f4c4138e955845537d10ca55 | [
"Apache-2.0"
] | 6 | 2017-10-10T13:36:39.000Z | 2021-02-18T07:50:00.000Z | tensor2tensor/data_generators/tokenizer.py | vohoaiviet/tensor2tensor | c2bd023ab7fc8ca0f4c4138e955845537d10ca55 | [
"Apache-2.0"
] | null | null | null | tensor2tensor/data_generators/tokenizer.py | vohoaiviet/tensor2tensor | c2bd023ab7fc8ca0f4c4138e955845537d10ca55 | [
"Apache-2.0"
] | 9 | 2017-07-25T11:29:06.000Z | 2021-06-20T14:01:58.000Z | # Copyright 2017 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 law or agreed ... | 31.07947 | 79 | 0.700831 |
2b1f1406a73cace34bef8e1667033a53df5a0e24 | 1,412 | py | Python | built-in/ACL_PyTorch/Official/cv/DB_for_PyTorch/test/parse.py | Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | [
"Apache-2.0"
] | 12 | 2020-12-13T08:34:24.000Z | 2022-03-20T15:17:17.000Z | built-in/ACL_PyTorch/Official/cv/DB_for_PyTorch/test/parse.py | Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | [
"Apache-2.0"
] | 1 | 2022-01-20T03:11:05.000Z | 2022-01-20T06:53:39.000Z | built-in/ACL_PyTorch/Official/cv/DB_for_PyTorch/test/parse.py | Ascend/modelzoo | f018cfed33dbb1cc2110b9ea2e233333f71cc509 | [
"Apache-2.0"
] | 2 | 2021-07-10T12:40:46.000Z | 2021-12-17T07:55:15.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# 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 agree... | 41.529412 | 105 | 0.636686 |
2b1fa39d20f7750128e2a06b8ef41f905c26ad90 | 4,000 | py | Python | scripts/run_scripts/main.py | ECP-copa/CabanaPIC | ac83e086cad3b6a3307abec26fb276ce7307143e | [
"BSD-3-Clause"
] | 10 | 2019-07-30T18:52:55.000Z | 2021-02-08T07:22:33.000Z | scripts/run_scripts/main.py | ECP-copa/CabanaPIC | ac83e086cad3b6a3307abec26fb276ce7307143e | [
"BSD-3-Clause"
] | 28 | 2019-04-16T21:15:34.000Z | 2021-02-08T20:16:44.000Z | scripts/run_scripts/main.py | ECP-copa/CabanaPIC | ac83e086cad3b6a3307abec26fb276ce7307143e | [
"BSD-3-Clause"
] | 2 | 2019-05-08T17:30:01.000Z | 2019-06-27T16:12:15.000Z | from git import Repo
import subprocess
import os, shutil
# I use this later to lazily generate an error with a message
repo_path = "../../"
r = Repo(repo_path)
repo_heads = r.heads # or it's alias: r.branches
repo_heads_names = [h.name for h in repo_heads]
#kokkos_src = '/Users/bird/kokkos/'
#kokkos_install = '/User... | 32.258065 | 150 | 0.6525 |
2b21765ae678a438c931925bbb17282476fb77e8 | 540 | py | Python | clam/utils/converters.py | Clam-Bot/Clam | 9b70dbf79f488ea15b7a2b3d8990252a647284e6 | [
"MIT"
] | null | null | null | clam/utils/converters.py | Clam-Bot/Clam | 9b70dbf79f488ea15b7a2b3d8990252a647284e6 | [
"MIT"
] | 3 | 2020-06-02T17:32:03.000Z | 2020-06-26T04:50:51.000Z | clam/utils/converters.py | Clam-Bot/Clam | 9b70dbf79f488ea15b7a2b3d8990252a647284e6 | [
"MIT"
] | 1 | 2020-06-01T14:28:37.000Z | 2020-06-01T14:28:37.000Z | from discord.ext import commands
from .formats import plural
| 30 | 119 | 0.662963 |
2b21c264b8b104047fd393b8623d64402d9f7dcd | 822 | py | Python | src/cfcs/__init__.py | KamasamaK/sublimetext-cfml | 3730fca4679a5294234dfb3207eb41a4b313b87e | [
"MIT"
] | null | null | null | src/cfcs/__init__.py | KamasamaK/sublimetext-cfml | 3730fca4679a5294234dfb3207eb41a4b313b87e | [
"MIT"
] | null | null | null | src/cfcs/__init__.py | KamasamaK/sublimetext-cfml | 3730fca4679a5294234dfb3207eb41a4b313b87e | [
"MIT"
] | 1 | 2022-02-28T17:09:43.000Z | 2022-02-28T17:09:43.000Z | from .cfcs import build_project_cfcs
from .completions import get_dot_completions
from .documentation import get_inline_documentation, get_goto_cfml_file, get_completions_doc, get_method_preview
from .di import CfmlDiPropertyCommand
from .. import completions, inline_documentation, goto_cfml_file, method_preview
from .... | 41.1 | 112 | 0.868613 |
2b220604fec0a1c505bc7ef5ba3c302ac7413e97 | 2,956 | py | Python | xeda/flows/vivado/vivado.py | XedaHQ/xeda | e5bea8663a9001d0e98f6b7a91575e13fba06493 | [
"Apache-2.0"
] | 16 | 2021-01-21T12:58:51.000Z | 2022-02-26T22:43:56.000Z | xeda/flows/vivado/vivado.py | XedaHQ/xeda | e5bea8663a9001d0e98f6b7a91575e13fba06493 | [
"Apache-2.0"
] | 7 | 2021-01-18T03:19:41.000Z | 2022-03-20T21:43:26.000Z | xeda/flows/vivado/vivado.py | kammoh/xeda | e5bea8663a9001d0e98f6b7a91575e13fba06493 | [
"Apache-2.0"
] | 3 | 2020-09-03T02:37:20.000Z | 2020-09-10T14:25:49.000Z | # 2020 [Kamyar Mohajerani](mailto:kamyar@ieee.org)
import html
import logging
from xeda.utils import try_convert
from xml.etree import ElementTree
from ..flow import Flow, DebugLevel
from functools import reduce
logger = logging.getLogger()
| 35.614458 | 159 | 0.57544 |
2b221e9fcd75b4225d8486366160ca6b79866358 | 566 | py | Python | misago/misago/socialauth/admin/tests/test_providers_list.py | vascoalramos/misago-deployment | 20226072138403108046c0afad9d99eb4163cedc | [
"MIT"
] | 2 | 2021-03-06T21:06:13.000Z | 2021-03-09T15:05:12.000Z | misago/misago/socialauth/admin/tests/test_providers_list.py | vascoalramos/misago-deployment | 20226072138403108046c0afad9d99eb4163cedc | [
"MIT"
] | null | null | null | misago/misago/socialauth/admin/tests/test_providers_list.py | vascoalramos/misago-deployment | 20226072138403108046c0afad9d99eb4163cedc | [
"MIT"
] | null | null | null | from django.urls import reverse
admin_link = reverse("misago:admin:settings:socialauth:index")
| 28.3 | 88 | 0.805654 |
2b23375784ad3bea514af8c65d442d1167d296b3 | 1,059 | py | Python | AoC20/day_01/__init__.py | a-recknagel/AoC20 | 7aa0013dc745bdc0ad357e1168b212bd065fd092 | [
"MIT"
] | null | null | null | AoC20/day_01/__init__.py | a-recknagel/AoC20 | 7aa0013dc745bdc0ad357e1168b212bd065fd092 | [
"MIT"
] | null | null | null | AoC20/day_01/__init__.py | a-recknagel/AoC20 | 7aa0013dc745bdc0ad357e1168b212bd065fd092 | [
"MIT"
] | null | null | null | example_data = """\
1721
979
366
299
675
1456\
"""
data = """\
1914
1931
1892
1584
1546
1988
1494
1709
1624
1755
1849
1430
1890
1675
1604
1580
1500
1277
1729
1456
2002
1075
1512
895
1843
1921
1904
1989
1407
1552
1714
757
1733
1459
1777
1440
1649
1409
1662
1968
1775
1998
1754
1938
1964
1415
1990
1997
1870
1664
1145
178... | 5.018957 | 19 | 0.780925 |
2b2517c362cf2f3a86a36ce0643cc246ce4e7c00 | 130 | py | Python | src/flax_extra/training/__init__.py | manifest/flax-extra | e19de992c7acefefca9ed4c9f7ce3e092943363a | [
"Apache-2.0"
] | null | null | null | src/flax_extra/training/__init__.py | manifest/flax-extra | e19de992c7acefefca9ed4c9f7ce3e092943363a | [
"Apache-2.0"
] | 3 | 2021-08-10T04:59:35.000Z | 2021-10-07T21:10:37.000Z | src/flax_extra/training/__init__.py | manifest/flax-extra | e19de992c7acefefca9ed4c9f7ce3e092943363a | [
"Apache-2.0"
] | null | null | null | r"""Training API."""
from flax_extra.training._loop import TrainLoop, TrainTask
__all__ = [
"TrainLoop",
"TrainTask",
]
| 14.444444 | 58 | 0.676923 |
2b251d64a22effcabaddc65ee837b6e1e8b83cc9 | 833 | py | Python | users/management/commands/export_user.py | iloveitaly/crypto-index-fund-bot | 2dba891a21aaa0e1d7aae8a54842e49e0bd2095e | [
"MIT"
] | 37 | 2021-08-03T02:25:53.000Z | 2022-03-30T16:11:31.000Z | users/management/commands/export_user.py | iloveitaly/crypto-index-fund-bot | 2dba891a21aaa0e1d7aae8a54842e49e0bd2095e | [
"MIT"
] | 40 | 2021-09-06T12:54:18.000Z | 2022-03-28T03:22:00.000Z | users/management/commands/export_user.py | iloveitaly/crypto-index-fund-bot | 2dba891a21aaa0e1d7aae8a54842e49e0bd2095e | [
"MIT"
] | 6 | 2021-09-23T11:59:03.000Z | 2022-03-22T04:06:09.000Z | import json
from django.core.management.base import BaseCommand, CommandError
from users.models import User
| 27.766667 | 73 | 0.683073 |
2b2780ff2364c405c910e94c9136eb2d8a40658f | 4,533 | py | Python | api-examples/dh_py_access/lib/dataset.py | evan1997123/PlanetOSDatathon | 91c324619c05f28dcacc622d97369813926fb52d | [
"MIT"
] | 87 | 2016-04-26T15:56:23.000Z | 2022-03-09T12:11:43.000Z | api-examples/dh_py_access/lib/dataset.py | evan1997123/PlanetOSDatathon | 91c324619c05f28dcacc622d97369813926fb52d | [
"MIT"
] | 4 | 2019-04-23T13:43:40.000Z | 2021-04-28T15:42:51.000Z | api-examples/dh_py_access/lib/dataset.py | evan1997123/PlanetOSDatathon | 91c324619c05f28dcacc622d97369813926fb52d | [
"MIT"
] | 51 | 2016-07-10T16:53:48.000Z | 2022-03-16T09:35:49.000Z | # -*- coding: utf-8 -*-
import requests
import pandas as pd
from netCDF4 import Dataset
# from lib.parse_urls import parse_urls
from . parse_urls import parse_urls
| 38.415254 | 171 | 0.595191 |
2b28c549db2999ddb7e4c4c20da3ef49d5acb82d | 6,082 | py | Python | contact_calc/stratify_hbonds.py | jpaggi/getcontacts | 0d4f3f951b340a1ae7f8dbbb594aef70783827e9 | [
"Apache-2.0"
] | null | null | null | contact_calc/stratify_hbonds.py | jpaggi/getcontacts | 0d4f3f951b340a1ae7f8dbbb594aef70783827e9 | [
"Apache-2.0"
] | null | null | null | contact_calc/stratify_hbonds.py | jpaggi/getcontacts | 0d4f3f951b340a1ae7f8dbbb594aef70783827e9 | [
"Apache-2.0"
] | null | null | null | ############################################################################
# Copyright 2018 Anthony Ma & Stanford University #
# #
# Licensed under the Apache License, Version 2.0 (the "License"); #
# you may no... | 41.657534 | 106 | 0.602269 |
2b297b7f8fbd1568c7e88ec11199c8002fce0e5f | 3,879 | py | Python | workshops/test/test_person.py | r-gaia-cs/swc-amy | b420810a8dd2399b522e070a4af46c428f545ffe | [
"MIT"
] | null | null | null | workshops/test/test_person.py | r-gaia-cs/swc-amy | b420810a8dd2399b522e070a4af46c428f545ffe | [
"MIT"
] | null | null | null | workshops/test/test_person.py | r-gaia-cs/swc-amy | b420810a8dd2399b522e070a4af46c428f545ffe | [
"MIT"
] | null | null | null | from django.core.urlresolvers import reverse
from ..models import Person
from .base import TestBase
| 41.265957 | 99 | 0.604022 |
2b2a2cb2f442f0c61a738971056437e441c211fd | 340 | py | Python | project_name/urls.py | hotbaby/django-project-skeleton | 41ee89fa96e0df26157d5aea92ce9bcf731c0e13 | [
"MIT"
] | 1 | 2019-01-11T10:10:43.000Z | 2019-01-11T10:10:43.000Z | project_name/urls.py | hotbaby/django-project-skeleton | 41ee89fa96e0df26157d5aea92ce9bcf731c0e13 | [
"MIT"
] | 3 | 2018-12-18T12:15:28.000Z | 2020-06-05T19:38:46.000Z | project_name/urls.py | hotbaby/django-project-skeleton | 41ee89fa96e0df26157d5aea92ce9bcf731c0e13 | [
"MIT"
] | null | null | null | """{{ project_name }} URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
"""
# Django imports
from django.conf.urls import include, url
urlpatterns = [
# Examples:
# url(r'^blog/', include('blog.urls', na... | 26.153846 | 77 | 0.694118 |
2b2b28c4e353e666464f155d20c16f44f9ef5fba | 662 | py | Python | moviebot/nlu/annotation/values.py | benebjoern/XAI_MovieBot | fbf47aba22081dd2efe9b89d5797da2dc143f15e | [
"MIT"
] | 2 | 2021-05-27T09:48:04.000Z | 2021-12-01T11:05:12.000Z | moviebot/nlu/annotation/values.py | benebjoern/XAI_MovieBot | fbf47aba22081dd2efe9b89d5797da2dc143f15e | [
"MIT"
] | 20 | 2020-09-18T17:59:32.000Z | 2021-04-12T11:09:29.000Z | moviebot/nlu/annotation/values.py | benebjoern/XAI_MovieBot | fbf47aba22081dd2efe9b89d5797da2dc143f15e | [
"MIT"
] | 5 | 2020-09-10T19:49:25.000Z | 2021-07-30T05:46:29.000Z | """This file contains the list of possible slot values other than the values
fetched from the database.
This approach will help the dialogue state tracker to update state for specific
type of slot values easily"""
__author__ = 'Javeria Habib'
from enum import Enum
| 30.090909 | 80 | 0.743202 |
2b2e9bbd7640827b468fb8a2bd395d4f19f2c1d7 | 802 | py | Python | app.py | AbovePlanet302/logviewer | 50c7802bda1d2f9f3319c1dacf4a89f622c2dcb7 | [
"MIT"
] | null | null | null | app.py | AbovePlanet302/logviewer | 50c7802bda1d2f9f3319c1dacf4a89f622c2dcb7 | [
"MIT"
] | null | null | null | app.py | AbovePlanet302/logviewer | 50c7802bda1d2f9f3319c1dacf4a89f622c2dcb7 | [
"MIT"
] | 3 | 2020-11-23T23:13:59.000Z | 2021-11-02T19:12:22.000Z | import os
from sanic import Sanic, response
from motor.motor_asyncio import AsyncIOMotorClient
from renderer import LogEntry
app = Sanic(__name__)
if __name__ == '__main__':
app.run(host='0.0.0.0', port=os.getenv('PORT'))
| 25.870968 | 94 | 0.699501 |
2b2ed19738112a82286876bf711fa67e20143cb1 | 237 | py | Python | tests/test_tours.py | DavidNKraemer/ams553-final-project | fc23fe5f126a8bd9ea593c0b339883ec71820a05 | [
"MIT"
] | null | null | null | tests/test_tours.py | DavidNKraemer/ams553-final-project | fc23fe5f126a8bd9ea593c0b339883ec71820a05 | [
"MIT"
] | null | null | null | tests/test_tours.py | DavidNKraemer/ams553-final-project | fc23fe5f126a8bd9ea593c0b339883ec71820a05 | [
"MIT"
] | null | null | null | from src import tours
import numpy as np
tolerance = 1e-4
| 21.545455 | 67 | 0.607595 |
2b308c8701fc0641936b8ef2a3864754ef960765 | 1,289 | py | Python | tests/app/storage/test_dynamo_api.py | uk-gov-mirror/ONSdigital.eq-survey-runner | b3a67a82347d024177f7fa6bf05499f47ece7ea5 | [
"MIT"
] | 27 | 2015-10-02T17:27:54.000Z | 2021-04-05T12:39:16.000Z | tests/app/storage/test_dynamo_api.py | uk-gov-mirror/ONSdigital.eq-survey-runner | b3a67a82347d024177f7fa6bf05499f47ece7ea5 | [
"MIT"
] | 1,836 | 2015-09-16T09:59:03.000Z | 2022-03-30T14:27:06.000Z | tests/app/storage/test_dynamo_api.py | uk-gov-mirror/ONSdigital.eq-survey-runner | b3a67a82347d024177f7fa6bf05499f47ece7ea5 | [
"MIT"
] | 20 | 2016-09-09T16:56:12.000Z | 2021-11-12T06:09:27.000Z | from botocore.exceptions import ClientError
from flask import current_app
from app.storage import dynamo_api
from tests.app.app_context_test_case import AppContextTestCase
KEY = {'user_id': 'someuser'}
| 30.690476 | 106 | 0.709853 |
2b3105bc401831618b83dd86dab377681bcffe9d | 2,062 | py | Python | doobi/recc/serializers.py | bryanopew/doobi | 45e98c7a0a8aceea7b13665da4d57f161fe78725 | [
"MIT"
] | null | null | null | doobi/recc/serializers.py | bryanopew/doobi | 45e98c7a0a8aceea7b13665da4d57f161fe78725 | [
"MIT"
] | null | null | null | doobi/recc/serializers.py | bryanopew/doobi | 45e98c7a0a8aceea7b13665da4d57f161fe78725 | [
"MIT"
] | null | null | null | from . models import Cal_result, Foods, Profile, Recc_result
from rest_framework import serializers
| 23.976744 | 60 | 0.555771 |
2b32f528d435bacb92f58da33b3b9a36bf562ce4 | 449 | py | Python | Problema 2/Problema2.py | ItaloCcosccoAlvis/ADA-UNSA---Lab2 | 00b221f66d1a2149c83b4eb79bbedf3b35a1a2a9 | [
"MIT"
] | null | null | null | Problema 2/Problema2.py | ItaloCcosccoAlvis/ADA-UNSA---Lab2 | 00b221f66d1a2149c83b4eb79bbedf3b35a1a2a9 | [
"MIT"
] | null | null | null | Problema 2/Problema2.py | ItaloCcosccoAlvis/ADA-UNSA---Lab2 | 00b221f66d1a2149c83b4eb79bbedf3b35a1a2a9 | [
"MIT"
] | 1 | 2021-11-01T17:22:48.000Z | 2021-11-01T17:22:48.000Z | # Problema 2
# Generar una arreglo invertido de n nmeros y despus buscar un elemento
# Casos de prueba
test1 = generateList(18)
test2 = generateList(89)
print(searchInvertArray(test1,78))
print(searchInvertArray(test2,15)) | 24.944444 | 74 | 0.681514 |