hexsha stringlengths 40 40 | size int64 2 1.05M | ext stringclasses 9
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 193 | max_stars_repo_name stringlengths 6 109 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 36.6k ⌀ | 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 4 193 | max_issues_repo_name stringlengths 6 109 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 29.8k ⌀ | 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 4 193 | max_forks_repo_name stringlengths 6 109 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 11.2k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 2 1.05M | avg_line_length float64 1 404k | max_line_length int64 1 1.03M | alphanum_fraction float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7371b98c122c72464636a60f8eba1cbfa495c541 | 5,942 | py | Python | mdrsl/rule_generation/association_rule_mining/frequent_itemset_mining.py | joschout/Multi-Directional-Rule-Set-Learning | ef0620b115f4e0fd7fba3e752d238a8020c1ca6b | [
"Apache-2.0"
] | 3 | 2020-08-03T19:25:44.000Z | 2021-06-27T22:25:55.000Z | mdrsl/rule_generation/association_rule_mining/frequent_itemset_mining.py | joschout/Multi-Directional-Rule-Set-Learning | ef0620b115f4e0fd7fba3e752d238a8020c1ca6b | [
"Apache-2.0"
] | null | null | null | mdrsl/rule_generation/association_rule_mining/frequent_itemset_mining.py | joschout/Multi-Directional-Rule-Set-Learning | ef0620b115f4e0fd7fba3e752d238a8020c1ca6b | [
"Apache-2.0"
] | 2 | 2020-08-07T22:54:28.000Z | 2021-02-18T06:11:01.000Z | from typing import List, Optional, Union, Tuple
# import fim
import pandas as pd
from bidict import bidict
attribute_value_separator = ';=;'
filter_missing_values = True
Item = str
ItemEncoding = int
Transaction = Union[List[Item], List[ItemEncoding]]
def attr_val_to_item(attr_name: str, val: object, separator=N... | 36.453988 | 111 | 0.664254 |
7371e20769846df470d026d2693b6ba3b425e1d9 | 1,642 | py | Python | Farmacia/apps/factura/models.py | cluco91/Django_Farmacia | 10d787533bcebac8ba35cf8a7feb10ffb14ca45f | [
"MIT"
] | 2 | 2018-11-06T04:05:20.000Z | 2020-05-28T23:19:23.000Z | Farmacia/apps/factura/models.py | cluco91/Django_Farmacia | 10d787533bcebac8ba35cf8a7feb10ffb14ca45f | [
"MIT"
] | null | null | null | Farmacia/apps/factura/models.py | cluco91/Django_Farmacia | 10d787533bcebac8ba35cf8a7feb10ffb14ca45f | [
"MIT"
] | 2 | 2018-11-06T04:12:17.000Z | 2019-11-21T18:34:26.000Z | # coding: utf-8
from django.db import models
from django.contrib.auth.models import User
import decimal
from django.conf import settings
from apps.clientes.models import Cliente
from apps.medicamentos.models import Medicamentos
from django.db.models import signals
class Factura(models.Model):
serie = models.Inte... | 33.510204 | 97 | 0.744823 |
7371ebe389345efb6d0604501c75437e7645a060 | 9,362 | py | Python | tensorflow/python/kernel_tests/sparse_add_op_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 522 | 2016-06-08T02:15:50.000Z | 2022-03-02T05:30:36.000Z | tensorflow/python/kernel_tests/sparse_add_op_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/python/kernel_tests/sparse_add_op_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 108 | 2016-06-16T15:34:05.000Z | 2022-03-12T13:23:11.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.003953 | 80 | 0.636296 |
7371f15f1e8a0b1296420c7f618de286d1c7d149 | 415 | py | Python | wsgi/db_bug_fixing.py | AlexeyProskuryakov/rr | dcf598405159a48826f4214fa33abcf57418b680 | [
"MIT"
] | null | null | null | wsgi/db_bug_fixing.py | AlexeyProskuryakov/rr | dcf598405159a48826f4214fa33abcf57418b680 | [
"MIT"
] | null | null | null | wsgi/db_bug_fixing.py | AlexeyProskuryakov/rr | dcf598405159a48826f4214fa33abcf57418b680 | [
"MIT"
] | null | null | null | from pymongo import MongoClient
from wsgi import properties
if __name__ == '__main__':
client = MongoClient(host=properties.mongo_uri)
db = client['rr']
collection = db.get_collection("subreddits")
for sbrdt_info in collection.find({}):
print "will fix subreddit %s"%sbrdt_info.get("name")
... | 37.727273 | 99 | 0.674699 |
737249381495be68a4a81e23a9f4606eba408dd5 | 5,649 | py | Python | example_cycles/N+3ref/N3_HPT_map.py | swryan/pyCycleOld | fbab35b74d0e5487abe686ae0823ff52e75afb3b | [
"Apache-2.0"
] | null | null | null | example_cycles/N+3ref/N3_HPT_map.py | swryan/pyCycleOld | fbab35b74d0e5487abe686ae0823ff52e75afb3b | [
"Apache-2.0"
] | null | null | null | example_cycles/N+3ref/N3_HPT_map.py | swryan/pyCycleOld | fbab35b74d0e5487abe686ae0823ff52e75afb3b | [
"Apache-2.0"
] | null | null | null | import numpy as np
from pycycle.maps.map_data import MapData
"""Python version of CFM56 HPT map from NPSS"""
HPTmap = MapData()
# Map design point values
HPTmap.defaults = {}
HPTmap.defaults['alphaMap'] = 1.0
HPTmap.defaults['NpMap'] = 100.0
HPTmap.defaults['PRmap'] = 5.0
#effMapDes = 0.9276 # = effMap for no sc... | 80.7 | 188 | 0.610019 |
737250317f308588c0da5161fd52b9d64b2aa3e6 | 1,853 | py | Python | src/networking/Client.py | OfekHarel/Orion-Connection-Software | 2e767e31f94574bf464e24eaeed87f36b3247ca6 | [
"MIT"
] | 1 | 2021-05-18T10:16:05.000Z | 2021-05-18T10:16:05.000Z | src/networking/Client.py | OfekHarel/Orion-Connection-Software | 2e767e31f94574bf464e24eaeed87f36b3247ca6 | [
"MIT"
] | null | null | null | src/networking/Client.py | OfekHarel/Orion-Connection-Software | 2e767e31f94574bf464e24eaeed87f36b3247ca6 | [
"MIT"
] | null | null | null | import socket
from src import Constants
from src.networking import NetworkPackets
from src.utils.Logger import utilLogger
class Client:
"""
The Client class that
"""
def __init__(self, host: str, address: tuple):
self.client_sock = socket.socket()
self.address = address
self... | 29.412698 | 99 | 0.558014 |
737264f1aa9c3a91ddb18b24dd2593ff5d3cb333 | 9,322 | py | Python | textwiser/textwiser.py | vishalbelsare/textwiser | da500f24c8d35d29e3ff77702b7c5ece244562cc | [
"Apache-2.0"
] | 24 | 2020-07-02T13:31:46.000Z | 2022-03-25T02:27:24.000Z | textwiser/textwiser.py | fmr-llc/textwiser | 2c5bdd73c26bd3fb7bd2f324f57d99233aa9c17f | [
"Apache-2.0"
] | 5 | 2020-07-23T16:43:02.000Z | 2022-02-23T17:05:38.000Z | textwiser/textwiser.py | fmr-llc/textwiser | 2c5bdd73c26bd3fb7bd2f324f57d99233aa9c17f | [
"Apache-2.0"
] | 6 | 2021-01-03T08:09:39.000Z | 2022-03-25T02:18:59.000Z | # Copyright 2019 FMR LLC <opensource@fidelity.com>
# SPDX-License-Identifer: Apache-2.0
from typing import List, Union
import warnings
import numpy as np
import torch
from textwiser.base import BaseFeaturizer
from textwiser.factory import get_standalone_document_embeddings, _Sequential
from textwiser.options import ... | 42.56621 | 151 | 0.644282 |
737278f160adb72d9849f3b0464b91f39392c3f3 | 7,680 | py | Python | scripts/scripts_ipynb/Moster_plot.py | Hoseung/pyRamAn | f9386fa5a9f045f98590039988d3cd50bc488dc2 | [
"MIT"
] | 1 | 2021-11-25T16:11:56.000Z | 2021-11-25T16:11:56.000Z | scripts/scripts_ipynb/Moster_plot.py | Hoseung/pyRamAn | f9386fa5a9f045f98590039988d3cd50bc488dc2 | [
"MIT"
] | 6 | 2020-02-17T13:44:43.000Z | 2020-06-25T15:35:05.000Z | scripts/scripts_ipynb/Moster_plot.py | Hoseung/pyRamAn | f9386fa5a9f045f98590039988d3cd50bc488dc2 | [
"MIT"
] | 1 | 2021-11-25T16:11:56.000Z | 2021-11-25T16:11:56.000Z |
# coding: utf-8
# # M* vs Mhalo
# Again, galaxy - halo matching is required.
# In[18]:
class Dummy():
def __init__(self):
pass
def region_from_xyz(x,y,z, r=0):
"""
create a region to include all points.
Parameters
----------
x: float array
y: float array
z: float arra... | 29.312977 | 111 | 0.546615 |
73728725237ee34c37d055a6ee7aa99919ef6e00 | 3,928 | py | Python | ideaman_generateData/run.py | LibRec-Practical/ideaman-offline | f8341fc9ca77adcc1191c01037dda18c02d77b29 | [
"MIT"
] | 1 | 2021-06-21T06:41:12.000Z | 2021-06-21T06:41:12.000Z | ideaman_generateData/run.py | LibRec-Practical/ideaman-offline | f8341fc9ca77adcc1191c01037dda18c02d77b29 | [
"MIT"
] | null | null | null | ideaman_generateData/run.py | LibRec-Practical/ideaman-offline | f8341fc9ca77adcc1191c01037dda18c02d77b29 | [
"MIT"
] | null | null | null | import sys
import random
import os
sys.path.append("../../")
sys.path.extend([os.path.join(root, name) for root, dirs, _ in os.walk("../../") for name in dirs])
from ideaman_util.db import conn, cur
interest_tags = ["1", "2", "3", "4", "5", "6", "8", "9", "10", "11", "12", "13", "16", "18", "20", "23", "24", "25",
... | 31.934959 | 116 | 0.558554 |
7372a17450789d9d73a967e88bfe62d62eb85520 | 1,479 | py | Python | main/antennas_on_circular_ring.py | dannyjacobs/PRISim | 89e544d771cf5c4113a4d5787a57c9586fa98eac | [
"MIT"
] | null | null | null | main/antennas_on_circular_ring.py | dannyjacobs/PRISim | 89e544d771cf5c4113a4d5787a57c9586fa98eac | [
"MIT"
] | null | null | null | main/antennas_on_circular_ring.py | dannyjacobs/PRISim | 89e544d771cf5c4113a4d5787a57c9586fa98eac | [
"MIT"
] | null | null | null | import numpy as NP
import argparse
import yaml
from astropy.io import ascii
import matplotlib.pyplot as PLT
import interferometry as RI
import ipdb as PDB
parser = argparse.ArgumentParser(description='Program to generate antennas in a circular ring.')
parser.add_argument('-i','--input', dest='parms', help='Parameters ... | 30.183673 | 136 | 0.724138 |
7372ac2648ed5814d9e7e7a650be33337f4e5663 | 383 | py | Python | {{ cookiecutter.repo_name }}/src/run.py | tortinez/cookiecutter-data-science | 7984e513f49f6715e3bdd9ab71c9e92044597af1 | [
"MIT"
] | null | null | null | {{ cookiecutter.repo_name }}/src/run.py | tortinez/cookiecutter-data-science | 7984e513f49f6715e3bdd9ab71c9e92044597af1 | [
"MIT"
] | null | null | null | {{ cookiecutter.repo_name }}/src/run.py | tortinez/cookiecutter-data-science | 7984e513f49f6715e3bdd9ab71c9e92044597af1 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
Run
-------------------
Entrypoint to the application
.. module:: Run
:synopsis: Entrypoint to the application
.. moduleauthor:: Victor Martinez
"""
# Logging initialization
import logging
from utilities.log_utils import logger_init
logger = logging.getLogger(__name__)
import config
if ... | 19.15 | 43 | 0.70235 |
7372bb7a1a78383662cc93f6ea0d05048a91159d | 5,338 | py | Python | tensorflow/contrib/learn/python/learn/estimators/estimators_test.py | gnoses/TensorFlow | 63a21e054007d86269ed1ad0145ebce04ee57a81 | [
"Apache-2.0"
] | 2 | 2017-11-24T04:06:38.000Z | 2018-01-07T11:30:04.000Z | tensorflow/contrib/learn/python/learn/estimators/estimators_test.py | amineferchichi/tensorflow | 4ac9c09d5ca57a03b8daa5fb9e295947b1619854 | [
"Apache-2.0"
] | null | null | null | tensorflow/contrib/learn/python/learn/estimators/estimators_test.py | amineferchichi/tensorflow | 4ac9c09d5ca57a03b8daa5fb9e295947b1619854 | [
"Apache-2.0"
] | 1 | 2022-01-22T05:39:49.000Z | 2022-01-22T05:39:49.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 34.43871 | 87 | 0.70251 |
7372c283885dcca57fdef64a051a561180f070e5 | 3,816 | py | Python | pdfmajor/__init__.py | asosnovsky/pdfmajor | 7e24c64b5b4fdc84c12b2f78dcaab0e1aa07f4ad | [
"MIT"
] | 23 | 2019-01-13T23:32:24.000Z | 2021-07-08T04:29:15.000Z | pdfmajor/__init__.py | asosnovsky/pdfmajor | 7e24c64b5b4fdc84c12b2f78dcaab0e1aa07f4ad | [
"MIT"
] | 3 | 2019-08-09T18:42:01.000Z | 2019-12-13T15:43:24.000Z | pdfmajor/__init__.py | asosnovsky/pdfmajor | 7e24c64b5b4fdc84c12b2f78dcaab0e1aa07f4ad | [
"MIT"
] | 2 | 2020-01-09T11:18:20.000Z | 2020-03-24T06:02:30.000Z |
#
# DO NOT EDIT THIS PAGE
#
"""
# PDFMajor
<table>
<tr>
<td>Latest Release</td>
<td>
<a href="https://pypi.org/project/pdfmajor/">
<img src="https://img.shields.io/pypi/v/pdfmajor.svg" alt="latest release" />
</a>
</td>
</tr>
</table>
PDF-Major is a **complete re-write** of `PDFMiner.six`. It is... | 35.663551 | 466 | 0.746331 |
7372c429500b2ac72d9a654f4af0b08be116c841 | 9,033 | py | Python | main/models.py | OKThess/website | 3d5a2a125bfb48179937b058aa7180b751eb2b43 | [
"MIT"
] | 5 | 2017-08-25T16:37:18.000Z | 2019-02-25T18:26:37.000Z | main/models.py | OKThess/website | 3d5a2a125bfb48179937b058aa7180b751eb2b43 | [
"MIT"
] | 43 | 2017-01-22T23:58:43.000Z | 2018-05-17T21:35:16.000Z | main/models.py | OKThess/website | 3d5a2a125bfb48179937b058aa7180b751eb2b43 | [
"MIT"
] | 2 | 2017-11-05T08:36:02.000Z | 2017-12-22T17:37:19.000Z | from datetime import date
from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
from s3direct.fields import S3DirectField
from ckeditor.fields import RichTextField
class EnTeamManager(models.Manager):
def get_queryset(self):
return super(EnTeamManager,... | 31.364583 | 115 | 0.686704 |
7373107ff95219610839062788c18b5140424c2c | 4,727 | py | Python | minihack/envs/skills_lava.py | mohamadmansourX/minihack | 3238bf4892ada8aecfe2e71fb493957f7e06b2d8 | [
"Apache-2.0"
] | 1 | 2021-11-19T01:51:38.000Z | 2021-11-19T01:51:38.000Z | minihack/envs/skills_lava.py | mohamadmansourX/minihack | 3238bf4892ada8aecfe2e71fb493957f7e06b2d8 | [
"Apache-2.0"
] | null | null | null | minihack/envs/skills_lava.py | mohamadmansourX/minihack | 3238bf4892ada8aecfe2e71fb493957f7e06b2d8 | [
"Apache-2.0"
] | 1 | 2021-11-17T15:45:02.000Z | 2021-11-17T15:45:02.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
from minihack import MiniHackSkill
from gym.envs import registration
class MiniHackLCLevitatePotionPickup(MiniHackSkill):
def __init__(self, *args, **kwargs):
kwargs["max_episode_steps"] = kwargs.pop("max_episode_steps", 400)
des_file = """
MAZE: ... | 26.55618 | 75 | 0.633594 |
73731d891dbf6317f4f43c5a71bd8a12f0fd5690 | 3,270 | py | Python | utils/notifications.py | Ibrahem3amer/bala7 | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | [
"Apache-2.0"
] | null | null | null | utils/notifications.py | Ibrahem3amer/bala7 | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | [
"Apache-2.0"
] | null | null | null | utils/notifications.py | Ibrahem3amer/bala7 | 70638c121ea85ff0e6a650c5f2641b0b3b04d6d0 | [
"Apache-2.0"
] | null | null | null | import requests
import json
from bala7.settings.base import secrets
class NotificationDevices(object):
def __init__(self):
self.app_id = secrets['onesignal_app_id']
self.device_type = 8
self.language = "en"
self.tags = {
"department": 3
}
def get_notificat... | 30.277778 | 88 | 0.573394 |
73734125b0fe642d6550a2cf5808fa040b5df488 | 16,191 | gyp | Python | ios/third_party/earl_grey/earl_grey.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2019-01-28T08:09:58.000Z | 2021-11-15T15:32:10.000Z | ios/third_party/earl_grey/earl_grey.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null | ios/third_party/earl_grey/earl_grey.gyp | Wzzzx/chromium-crosswalk | 768dde8efa71169f1c1113ca6ef322f1e8c9e7de | [
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 6 | 2020-09-23T08:56:12.000Z | 2021-11-18T03:40:49.000Z | # Copyright 2016 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
{
'targets': [
{
'target_name': 'EarlGrey',
'type': 'shared_library',
'mac_bundle': 1,
'sources': [
'src/EarlGrey/Actio... | 49.818462 | 104 | 0.688778 |
7373523ea40c850e49149b08797728e5bc8d0a64 | 585 | py | Python | filter.py | mn270/Human-Activity-Recognize-HARdataset- | 861391174f0780c8fe3d69663491076e4c4b737c | [
"MIT"
] | null | null | null | filter.py | mn270/Human-Activity-Recognize-HARdataset- | 861391174f0780c8fe3d69663491076e4c4b737c | [
"MIT"
] | null | null | null | filter.py | mn270/Human-Activity-Recognize-HARdataset- | 861391174f0780c8fe3d69663491076e4c4b737c | [
"MIT"
] | null | null | null | """
Create Butterworth filter to use it on Android app
"""
import numpy as np
import scipy.signal as signal
import matplotlib.pyplot as plt
fs = 50
fn = 20
b, a = signal.butter(3, fn/(fs/2), 'low', analog=False)
w, h = signal.freqz(b, a,fs = fs)
print("B:")
print(b)
print("----------------------------------------")
p... | 21.666667 | 72 | 0.634188 |
73736a49fe8b85edb969cc1ad7f782867723b256 | 3,594 | py | Python | pysimm/apps/equilibrate.py | ElsevierSoftwareX/SOFTX-D-21-00117 | 8ce9f9b5c1f1bb07733f248763759b05454690c8 | [
"MIT"
] | 55 | 2017-01-14T09:11:54.000Z | 2022-01-28T17:17:34.000Z | pysimm/apps/equilibrate.py | ElsevierSoftwareX/SOFTX-D-21-00117 | 8ce9f9b5c1f1bb07733f248763759b05454690c8 | [
"MIT"
] | 13 | 2017-03-27T19:32:57.000Z | 2022-01-04T17:49:50.000Z | pysimm/apps/equilibrate.py | ElsevierSoftwareX/SOFTX-D-21-00117 | 8ce9f9b5c1f1bb07733f248763759b05454690c8 | [
"MIT"
] | 28 | 2016-08-29T12:30:58.000Z | 2021-12-04T07:24:07.000Z | # ******************************************************************************
# pysimm.apps.equilibrate module
# ******************************************************************************
#
# 21-step equilibration algorithm written using pysimm tools
#
# **********************************************************... | 36.30303 | 108 | 0.637451 |
73736d285e6ebb3b213dcdf747b28073a5ae950c | 1,677 | py | Python | finetuned_model/feature_maps.py | rtoengi/transfer-learning-for-sign-language-recognition | e0627115e6b68d6b85244d484011bb3895ccf4ee | [
"MIT"
] | 1 | 2021-09-25T14:11:22.000Z | 2021-09-25T14:11:22.000Z | finetuned_model/feature_maps.py | rtoengi/transfer-learning-for-sign-language-recognition | e0627115e6b68d6b85244d484011bb3895ccf4ee | [
"MIT"
] | null | null | null | finetuned_model/feature_maps.py | rtoengi/transfer-learning-for-sign-language-recognition | e0627115e6b68d6b85244d484011bb3895ccf4ee | [
"MIT"
] | 4 | 2021-04-10T01:33:03.000Z | 2021-11-11T06:58:59.000Z | from pathlib import Path
import tensorflow as tf
from tensorflow.keras.models import Model
from datasets.constants import DatasetName, DatasetType
from datasets.tf_record_utils import tf_record_dataset, transform_for_prediction
from finetuned_model.constants import TRAINING_RUNS
from plotting.plot import feature_maps... | 32.25 | 114 | 0.741801 |
7373a8261287002f482a3a352029bed98e7e11e8 | 1,566 | py | Python | gardener/core.py | mangelino/gardener | bf6f2b6cd7d5732516a6f42df4729fbc262e8372 | [
"MIT"
] | 1 | 2018-06-13T18:36:23.000Z | 2018-06-13T18:36:23.000Z | gardener/core.py | mangelino/gardener | bf6f2b6cd7d5732516a6f42df4729fbc262e8372 | [
"MIT"
] | null | null | null | gardener/core.py | mangelino/gardener | bf6f2b6cd7d5732516a6f42df4729fbc262e8372 | [
"MIT"
] | null | null | null | from .entity import EntityDefinition
from .thing import Thing
from itertools import chain
import json
from .logging import logError, logInfo, logRecycle, logSuccess, logDebug
class CoreDefinition(EntityDefinition):
"""
Create a new Core definition if it does not already exists.
Compare LatestVersion with n... | 41.210526 | 121 | 0.718391 |
7373ad9cfe4619967aa75a10ebdcaa60aea49c20 | 106 | py | Python | osos/api_conda/__init__.py | NREL/osos | 28b2d9382058e17dfa10a873b5f2fd115b319bb1 | [
"BSD-3-Clause"
] | null | null | null | osos/api_conda/__init__.py | NREL/osos | 28b2d9382058e17dfa10a873b5f2fd115b319bb1 | [
"BSD-3-Clause"
] | 1 | 2021-11-19T20:44:38.000Z | 2021-11-19T20:45:03.000Z | osos/api_conda/__init__.py | NREL/osos | 28b2d9382058e17dfa10a873b5f2fd115b319bb1 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Interface module for conda API
"""
from osos.api_conda.api_conda import Conda
| 17.666667 | 42 | 0.688679 |
7373b8e32e171501ec6975022d4b7e377ed1fbaa | 40,264 | py | Python | domainbed/algorithms.py | abhimanyudubey/DomainBed | 5c8373e40a04035081937b0fa3eb4fa5339dae32 | [
"MIT"
] | 6 | 2021-08-05T11:50:34.000Z | 2022-02-28T15:29:09.000Z | domainbed/algorithms.py | zrt/DomainBed | 2f4f19c07d18bb5079cfdd8d71d59062b8271ffe | [
"MIT"
] | null | null | null | domainbed/algorithms.py | zrt/DomainBed | 2f4f19c07d18bb5079cfdd8d71d59062b8271ffe | [
"MIT"
] | 1 | 2021-09-30T12:25:07.000Z | 2021-09-30T12:25:07.000Z | # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.autograd as autograd
from torch.autograd import Variable
import copy
import numpy as np
from collections import defaultdict
from domainbed import networks
from domain... | 35.91793 | 100 | 0.589534 |
7373be53731ebc6cddffa2b3eae30f08b70e33a7 | 2,330 | py | Python | trdg/gu_dict/space_names_generator.py | srividya-p/TextRecognitionDataGenerator | cfba3ef1b5204c5f45d347c1c3db09a77dd3cd01 | [
"MIT"
] | null | null | null | trdg/gu_dict/space_names_generator.py | srividya-p/TextRecognitionDataGenerator | cfba3ef1b5204c5f45d347c1c3db09a77dd3cd01 | [
"MIT"
] | null | null | null | trdg/gu_dict/space_names_generator.py | srividya-p/TextRecognitionDataGenerator | cfba3ef1b5204c5f45d347c1c3db09a77dd3cd01 | [
"MIT"
] | null | null | null | #-*- coding: utf-8 -*-
digits = ['૦', '૧', '૨', '૩', '૪', '૫', '૬', '૭', '૮', '૯']
vowels = ['અ', 'આ', 'ઇ', 'ઈ', 'ઉ', 'ઊ', 'ઋ', 'એ', 'ઐ', 'ઓ', 'ઔ']
# 'ઌ', 'ૡ', 'ૃ', 'ૄ' 'ઁ', 'ં' , 'ઃ', '્' 'ૠ'
consonants = ['ક', 'ખ', 'ગ', 'ઘ', 'ઙ',
'ચ', 'છ', 'જ', 'ઝ', 'ઞ',
'ટ', 'ઠ', 'ડ', 'ઢ', 'ણ',
... | 25.326087 | 134 | 0.491845 |
7373ec92f9d881d58d3cbe1ddfbde2e3c5a2d0ad | 22,728 | py | Python | lbrynet/extras/wallet/manager.py | Leopere/lbry | af43b21ef6a5de5ce1fee21425bea6f8d6bf335f | [
"MIT"
] | null | null | null | lbrynet/extras/wallet/manager.py | Leopere/lbry | af43b21ef6a5de5ce1fee21425bea6f8d6bf335f | [
"MIT"
] | null | null | null | lbrynet/extras/wallet/manager.py | Leopere/lbry | af43b21ef6a5de5ce1fee21425bea6f8d6bf335f | [
"MIT"
] | null | null | null | import os
import json
import logging
from binascii import unhexlify
from datetime import datetime
from typing import Optional
from lbrynet.schema.schema import SECP256k1
from torba.client.basemanager import BaseWalletManager
from torba.rpc.jsonrpc import CodeMessageError
from lbrynet.schema.claim import ClaimDict
f... | 42.80226 | 120 | 0.611536 |
7374141bfb663073eb2030e7c51cb7450b93ac17 | 15,968 | py | Python | esper/__init__.py | elistevens/esper | c54bd44d6528feed6ca01c5f423a89027c21e3b3 | [
"MIT"
] | 366 | 2015-12-25T23:37:58.000Z | 2022-03-19T09:36:13.000Z | esper/__init__.py | elistevens/esper | c54bd44d6528feed6ca01c5f423a89027c21e3b3 | [
"MIT"
] | 60 | 2015-12-26T04:13:40.000Z | 2022-03-15T10:57:29.000Z | esper/__init__.py | elistevens/esper | c54bd44d6528feed6ca01c5f423a89027c21e3b3 | [
"MIT"
] | 67 | 2016-01-07T12:09:08.000Z | 2022-03-28T20:26:47.000Z | import time as _time
from typing import Any as _Any
from typing import Iterable as _Iterable
from typing import List as _List
from typing import Optional as _Optional
from typing import Tuple as _Tuple
from typing import Type as _Type
from typing import TypeVar as _TypeVar
version = '1.5'
_C = _TypeVar('_C')
_P = _... | 40.94359 | 114 | 0.661573 |
737457f10bb5b8bc431ffe5a4564d64384701b64 | 4,870 | py | Python | experiments/vitchyr/disentanglement/img_obs_state_reward/image_based_pnp_1obj_sweep3.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | experiments/vitchyr/disentanglement/img_obs_state_reward/image_based_pnp_1obj_sweep3.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/vitchyr/disentanglement/img_obs_state_reward/image_based_pnp_1obj_sweep3.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | import rlkit.misc.hyperparameter as hyp
from rlkit.launchers.contextual.image_based import \
image_based_goal_conditioned_sac_experiment
from rlkit.launchers.launcher_util import run_experiment
if __name__ == "__main__":
variant = dict(
env_id='OneObjectPickAndPlace2DEnv-v0',
qf_kwargs=dict(
... | 31.419355 | 90 | 0.507187 |
73746ae7a5c1da752437ed2954e94c186795d214 | 12,247 | py | Python | desdeo_emo/EAs/RVEA.py | bonskotti/desdeo-emo | 6a607fa96478fd3c76394ac7b2dafdfd3c08eb2a | [
"MIT"
] | 1 | 2022-03-30T17:24:55.000Z | 2022-03-30T17:24:55.000Z | desdeo_emo/EAs/RVEA.py | bonskotti/desdeo-emo | 6a607fa96478fd3c76394ac7b2dafdfd3c08eb2a | [
"MIT"
] | null | null | null | desdeo_emo/EAs/RVEA.py | bonskotti/desdeo-emo | 6a607fa96478fd3c76394ac7b2dafdfd3c08eb2a | [
"MIT"
] | null | null | null | from typing import Dict, Union
from desdeo_emo.EAs.BaseEA import BaseDecompositionEA, eaError
from desdeo_emo.population.Population import Population
# from desdeo_emo.selection.APD_Select import APD_Select
from desdeo_emo.selection.APD_Select_constraints import APD_Select
from desdeo_emo.selection.oAPD import Optimi... | 44.053957 | 88 | 0.669225 |
73747db31c86b67eaad5aeab7d5e80191e12b333 | 16,857 | py | Python | tensorflow/contrib/distributions/python/kernel_tests/cauchy_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/contrib/distributions/python/kernel_tests/cauchy_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/contrib/distributions/python/kernel_tests/cauchy_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 31 | 2018-09-11T02:17:17.000Z | 2021-12-15T10:33:35.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.398633 | 80 | 0.671709 |
73749f3fbf109f64ddad49c9ed8b32c9283fe6a2 | 23 | py | Python | h5axeconfig/siaf/__init__.py | Russell-Ryan/aXeConfig | ff52e1981b825a075372c682cb6034cfeec58213 | [
"MIT"
] | null | null | null | h5axeconfig/siaf/__init__.py | Russell-Ryan/aXeConfig | ff52e1981b825a075372c682cb6034cfeec58213 | [
"MIT"
] | null | null | null | h5axeconfig/siaf/__init__.py | Russell-Ryan/aXeConfig | ff52e1981b825a075372c682cb6034cfeec58213 | [
"MIT"
] | 1 | 2019-09-25T14:51:04.000Z | 2019-09-25T14:51:04.000Z | from .siaf import SIAF
| 11.5 | 22 | 0.782609 |
7374c733f14374fe8bd385e1dfd87f4dc6f4ed1e | 2,868 | py | Python | src/proc.py | hashware/waterfall-zh | f27aaa59c08657c1c665955cff64f2693e4ef912 | [
"Apache-2.0"
] | null | null | null | src/proc.py | hashware/waterfall-zh | f27aaa59c08657c1c665955cff64f2693e4ef912 | [
"Apache-2.0"
] | null | null | null | src/proc.py | hashware/waterfall-zh | f27aaa59c08657c1c665955cff64f2693e4ef912 | [
"Apache-2.0"
] | null | null | null | #! /usr/bin/env python
# Copyright 2016 WebAssembly Community Group participants
#
# 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
... | 32.965517 | 78 | 0.688285 |
7374cd8a6490cc8c90209f62d09397bf1633a968 | 123 | py | Python | py_sc_fermi/constants.py | kavanase/py-sc-fermi | 3df9f0cf0e2edb566f57ff72d8dae5a191287b64 | [
"MIT"
] | 8 | 2019-09-10T02:10:49.000Z | 2022-03-18T07:13:52.000Z | py_sc_fermi/constants.py | kavanase/py-sc-fermi | 3df9f0cf0e2edb566f57ff72d8dae5a191287b64 | [
"MIT"
] | 6 | 2021-08-10T12:52:37.000Z | 2022-02-15T11:36:00.000Z | py_sc_fermi/constants.py | kavanase/py-sc-fermi | 3df9f0cf0e2edb566f57ff72d8dae5a191287b64 | [
"MIT"
] | 5 | 2019-08-25T02:54:01.000Z | 2022-03-19T03:56:58.000Z | from scipy.constants import physical_constants # type: ignore
kboltz = physical_constants['Boltzmann constant in eV/K'][0]
| 41 | 61 | 0.804878 |
7374d41417a2b5c58d4a9b7caee5714b4191f7cf | 464 | py | Python | supriya/ugens/LFNoise0.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/LFNoise0.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | supriya/ugens/LFNoise0.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | import collections
from supriya import CalculationRate
from supriya.synthdefs import UGen
class LFNoise0(UGen):
"""
A step noise generator.
::
>>> supriya.ugens.LFNoise0.ar()
LFNoise0.ar()
"""
### CLASS VARIABLES ###
__documentation_section__ = "Noise UGens"
_ordered... | 18.56 | 79 | 0.68319 |
7374dbbb080ac10bb883528568394972e11aefd8 | 607 | py | Python | master/api-master/api-master/api/src/migrations/versions/41fc015bc30c_.py | AlexRogalskiy/DevArtifacts | 931aabb8cbf27656151c54856eb2ea7d1153203a | [
"MIT"
] | 4 | 2018-09-07T15:35:24.000Z | 2019-03-27T09:48:12.000Z | master/api-master/api-master/api/src/migrations/versions/41fc015bc30c_.py | AlexRogalskiy/DevArtifacts | 931aabb8cbf27656151c54856eb2ea7d1153203a | [
"MIT"
] | 371 | 2020-03-04T21:51:56.000Z | 2022-03-31T20:59:11.000Z | master/api-master/api-master/api/src/migrations/versions/41fc015bc30c_.py | AlexRogalskiy/DevArtifacts | 931aabb8cbf27656151c54856eb2ea7d1153203a | [
"MIT"
] | 3 | 2019-06-18T19:57:17.000Z | 2020-11-06T03:55:08.000Z | """empty message
Revision ID: 41fc015bc30c
Revises: 890f0f2ba1d1
Create Date: 2016-06-17 14:47:11.944599
"""
# revision identifiers, used by Alembic.
revision = '41fc015bc30c'
down_revision = '890f0f2ba1d1'
from alembic import op
import sqlalchemy as sa
def upgrade():
### commands auto generated by Alembic - ... | 22.481481 | 78 | 0.693575 |
7374e6e68994c5e8a7e8a506106a403652281ead | 1,623 | py | Python | src/utilities/hash_utility.py | yotam5/secure_gui_chat | dc4a3ba4a9a7b79924a8b304f297174e3564d557 | [
"MIT"
] | null | null | null | src/utilities/hash_utility.py | yotam5/secure_gui_chat | dc4a3ba4a9a7b79924a8b304f297174e3564d557 | [
"MIT"
] | null | null | null | src/utilities/hash_utility.py | yotam5/secure_gui_chat | dc4a3ba4a9a7b79924a8b304f297174e3564d557 | [
"MIT"
] | null | null | null |
import hashlib
from os import urandom
def hash_verify(key: bytes, salt: bytes, password: str, length=64):
"""[verify password with stored hash, need user salt and entered password]
Args:
key (bytes): [the user full hash]
salt (bytes): [the user salt]
password (str): [the user passwor... | 31.211538 | 82 | 0.601356 |
7374e989ed69b53c4462e87293aec5da6ac17fb6 | 836 | py | Python | Assignment_4/src/PartDataPrep.py | thealphadollar/ML-Assignments | 547c115d0d62c770aa673bf98fd56ff184bcfbd6 | [
"MIT"
] | null | null | null | Assignment_4/src/PartDataPrep.py | thealphadollar/ML-Assignments | 547c115d0d62c770aa673bf98fd56ff184bcfbd6 | [
"MIT"
] | 1 | 2021-02-02T23:14:05.000Z | 2021-02-02T23:14:05.000Z | Assignment_4/src/PartDataPrep.py | thealphadollar/CS60050-ML-Assignments | 547c115d0d62c770aa673bf98fd56ff184bcfbd6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
# @author: Shivam Kumar Jha
# @rollno: 17CS30033
import pandas as pd
from sklearn.model_selection import train_test_split
with open('../data/seeds_dataset.txt', 'r') as data:
with open('../data/seeds_dataset.csv', 'w+') as wData:
for line in data.readlines():
... | 26.967742 | 67 | 0.650718 |
7375168e221595c5154935fdf2f70388643eb949 | 1,424 | py | Python | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/display_button_simpletest.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 47 | 2021-02-15T23:02:36.000Z | 2022-03-04T21:30:03.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/display_button_simpletest.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 7 | 2021-02-19T20:00:08.000Z | 2022-01-14T10:51:12.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/examples/display_button_simpletest.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 14 | 2021-02-20T17:40:56.000Z | 2022-01-01T19:53:38.000Z | # SPDX-FileCopyrightText: 2021 ladyada for Adafruit Industries
# SPDX-License-Identifier: MIT
import board
import displayio
import terminalio
import adafruit_touchscreen
from adafruit_button import Button
# --| Button Config |-------------------------------------------------
BUTTON_X = 110
BUTTON_Y = 95
BUTTON_WIDTH ... | 23.344262 | 70 | 0.677669 |
737533241bf4837405d7b31cbc76bdedc9c62033 | 3,765 | py | Python | python/ctakes/format/XMI.py | drgriffis/ctakes-utils | d5da557ee68918fc33326a029f37a24d39acb10a | [
"Apache-2.0"
] | 1 | 2018-10-31T02:31:37.000Z | 2018-10-31T02:31:37.000Z | python/ctakes/format/XMI.py | drgriffis/ctakes-utils | d5da557ee68918fc33326a029f37a24d39acb10a | [
"Apache-2.0"
] | 1 | 2018-02-04T19:24:52.000Z | 2021-08-25T08:16:36.000Z | python/ctakes/format/XMI.py | drgriffis/ctakes-utils | d5da557ee68918fc33326a029f37a24d39acb10a | [
"Apache-2.0"
] | null | null | null | '''
Methods for handling cTAKES XMI output.
@depends BeautifulSoup
'''
import re
import codecs
from bs4 import BeautifulSoup
from . import common
from ..annotations import Mention
from ..exceptions import *
def getMentions(fpath):
'''Get the (ambiguous) entity mentions from the XMI file,
as a list of Mention... | 32.179487 | 95 | 0.651262 |
7375501294ef29ecedd760846ce44ff50b83e9ff | 2,087 | py | Python | examples/basics/use_dask.py | lfwin/tflearn | 06015c73a4d9ad9edafeb9b61ee9004fd715f69e | [
"MIT"
] | 20 | 2016-04-04T06:15:43.000Z | 2021-04-18T18:40:30.000Z | examples/basics/use_dask.py | NLPDev/tflearn | 77436978c62124bd91ef739dc77c9ea58277c779 | [
"MIT"
] | null | null | null | examples/basics/use_dask.py | NLPDev/tflearn | 77436978c62124bd91ef739dc77c9ea58277c779 | [
"MIT"
] | 9 | 2016-04-26T05:31:47.000Z | 2019-08-24T18:12:21.000Z | # -*- coding: utf-8 -*-
"""
Example on how to use Dask with TFLearn. Dask is a simple task scheduling
system that uses directed acyclic graphs (DAGs) of tasks to break up large
computations into many small ones. It can handle large dataset that could
not fit totally in ram memory. Note that this example just give a qui... | 39.377358 | 75 | 0.737422 |
7375582ea5945f49b523b3076d03d3bed1c98479 | 6,318 | py | Python | tests/test_sensor.py | eifinger/hass-foldingathomecontrol | 9f5d9216fc06eb227eb8a7ab4de07f2fd8d8fc8e | [
"MIT"
] | 15 | 2020-03-28T13:28:40.000Z | 2022-01-03T11:23:45.000Z | tests/test_sensor.py | eifinger/hass-foldingathomecontrol | 9f5d9216fc06eb227eb8a7ab4de07f2fd8d8fc8e | [
"MIT"
] | 110 | 2020-03-29T17:45:25.000Z | 2022-03-31T17:12:45.000Z | tests/test_sensor.py | eifinger/hass-foldingathomecontrol | 9f5d9216fc06eb227eb8a7ab4de07f2fd8d8fc8e | [
"MIT"
] | 5 | 2020-04-23T17:49:49.000Z | 2021-12-31T02:03:22.000Z | """Tests for the foldingathomecontrol sensor platform."""
import asyncio
from asyncio.streams import StreamReader
from unittest.mock import AsyncMock, MagicMock, patch
import pytest
from homeassistant.const import EVENT_HOMEASSISTANT_START
from pytest_homeassistant_custom_component.common import MockConfigEntry
from ... | 31.277228 | 130 | 0.588794 |
73756f4290bebf43efc4c07612f2346ecf9c9752 | 2,191 | py | Python | project_euler/problem_42/solution42.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | null | null | null | project_euler/problem_42/solution42.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | null | null | null | project_euler/problem_42/solution42.py | tg12/Python | 398d1dbf4b780d1725aeae9a91b4c79f4410e2f0 | [
"MIT"
] | 1 | 2020-06-26T09:46:17.000Z | 2020-06-26T09:46:17.000Z | '''THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS
OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, TITLE AND
NON-INFRINGEMENT. IN NO EVENT SHALL THE COPYRIGHT HOLDERS OR ANYONE
DISTRIBUTING THE SOFTWARE BE LIABLE FOR ANY DAMAGES OR OT... | 32.220588 | 80 | 0.696486 |
73756f794590a3d616b42fa27649ffced19c16d3 | 458 | py | Python | tests/unit/test_client_initialisation.py | querius-dev/client | 91018b78fd199e5653adc022ef628347a4e6c588 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_client_initialisation.py | querius-dev/client | 91018b78fd199e5653adc022ef628347a4e6c588 | [
"Apache-2.0"
] | null | null | null | tests/unit/test_client_initialisation.py | querius-dev/client | 91018b78fd199e5653adc022ef628347a4e6c588 | [
"Apache-2.0"
] | null | null | null | import json
from pathlib import Path
from querius import QueriusClient
def test_initialising_client_from_json():
service_account_info = json.loads(Path('fake-service-account.json').read_text())
config = {
"customer_id": "test_customer_id",
"service_account_info": service_account_info,
... | 28.625 | 84 | 0.727074 |
73758036289ecfa6446ef9b9120dead2ba4fad9b | 9,800 | py | Python | tests/synthdefs/test_synthdefs_SynthDefCompiler_basic.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | tests/synthdefs/test_synthdefs_SynthDefCompiler_basic.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | tests/synthdefs/test_synthdefs_SynthDefCompiler_basic.py | deeuu/supriya | 14fcb5316eccb4dafbe498932ceff56e1abb9d27 | [
"MIT"
] | null | null | null | # flake8: noqa
import supriya.synthdefs
import supriya.ugens
def test_SynthDefCompiler_basic_01():
with supriya.synthdefs.SynthDefBuilder() as builder:
sine_one = supriya.ugens.SinOsc.ar(frequency=420)
sine_two = supriya.ugens.SinOsc.ar(frequency=440)
sines = sine_one * sine_two
s... | 34.385965 | 71 | 0.423367 |
737596461a553331f79f231c0b1d984abe67d8ce | 1,256 | py | Python | tests/apptests.py | marianoleonardo/history | dd99df70c80760d7fc4592eef75d019da975a9ab | [
"Apache-2.0"
] | null | null | null | tests/apptests.py | marianoleonardo/history | dd99df70c80760d7fc4592eef75d019da975a9ab | [
"Apache-2.0"
] | 65 | 2018-05-08T16:53:14.000Z | 2022-03-11T18:07:21.000Z | tests/apptests.py | marianoleonardo/history | dd99df70c80760d7fc4592eef75d019da975a9ab | [
"Apache-2.0"
] | 28 | 2018-05-21T16:01:46.000Z | 2021-09-29T21:49:29.000Z | from flask import Flask
import json
app = Flask(__name__)
resp_json = {
"attrs": {
"1": [
{
"created": "2018-08-02T12:52:14.569559+00:00",
"id": 1,
"label": "temperature",
"static_value": "",
"template_id": "1",
... | 26.723404 | 62 | 0.397293 |
7375a6b6b3039e39694c4d6714a9ac08e45d9a85 | 23,322 | py | Python | electrum/submarine_swaps.py | particl/electrum | f1b8c13636c9ffcf6fd37a03340d4eff2d7f0354 | [
"MIT"
] | null | null | null | electrum/submarine_swaps.py | particl/electrum | f1b8c13636c9ffcf6fd37a03340d4eff2d7f0354 | [
"MIT"
] | null | null | null | electrum/submarine_swaps.py | particl/electrum | f1b8c13636c9ffcf6fd37a03340d4eff2d7f0354 | [
"MIT"
] | null | null | null | import asyncio
import json
import os
from typing import TYPE_CHECKING, Optional, Dict, Union
from decimal import Decimal
import math
import attr
from .crypto import sha256, hash_160
from .ecc import ECPrivkey
from .bitcoin import (script_to_p2wsh, opcodes, p2wsh_nested_script, push_script,
is_se... | 42.871324 | 137 | 0.641969 |
7375c65a96d728e4c02d54a33240ce796a2a322d | 1,658 | py | Python | nhps/functions/draw.py | Anirudh-Murali/neural-hawkes-particle-smoothing | 96b258838bdab33b781008daeedfa61dec0d553c | [
"BSD-3-Clause"
] | 37 | 2019-05-14T04:42:40.000Z | 2021-09-10T11:51:11.000Z | nhps/functions/draw.py | wangjingbo1219/neural-hawkes-particle-smoothing | 8f33c75038e739a2a0b61db854dd97d918ce2d19 | [
"BSD-3-Clause"
] | 5 | 2019-08-18T12:06:36.000Z | 2021-09-21T22:00:29.000Z | nhps/functions/draw.py | wangjingbo1219/neural-hawkes-particle-smoothing | 8f33c75038e739a2a0b61db854dd97d918ce2d19 | [
"BSD-3-Clause"
] | 12 | 2019-08-11T22:41:55.000Z | 2020-11-24T18:11:34.000Z | # -*- coding: utf-8 -*-
# !/usr/bin/python
"""
Draw figures to compare performance of different models
@author: hongyuan
"""
import pickle
import time
import numpy
import os
import sys
import datetime
import matplotlib.pyplot as plt
plt.switch_backend('agg')
import torch
import torch.nn as nn
import torch.optim as ... | 25.121212 | 71 | 0.654403 |
7375d03a4c1defe1f91ebcde0ee0ff9f0bd3e7e9 | 1,159 | py | Python | test/test_full_email_validation_response.py | doc22940/cloudmersive.apiclient.python | 8646291f45ebd7c6572a296e30f693693a6782c4 | [
"Apache-2.0"
] | 3 | 2018-06-23T21:37:21.000Z | 2020-04-20T23:07:36.000Z | test/test_full_email_validation_response.py | doc22940/cloudmersive.apiclient.python | 8646291f45ebd7c6572a296e30f693693a6782c4 | [
"Apache-2.0"
] | 1 | 2019-02-04T17:03:35.000Z | 2019-03-02T20:16:52.000Z | test/test_full_email_validation_response.py | doc22940/cloudmersive.apiclient.python | 8646291f45ebd7c6572a296e30f693693a6782c4 | [
"Apache-2.0"
] | 2 | 2019-03-21T15:54:15.000Z | 2020-05-27T17:30:43.000Z | # coding: utf-8
"""
validateapi
The validation APIs help you validate data. Check if an E-mail address is real. Check if a domain is real. Check up on an IP address, and even where it is located. All this and much more is available in the validation API. # noqa: E501
OpenAPI spec version: v1
Ge... | 28.268293 | 240 | 0.740293 |
7375d4f9c0732a1867d6a28f2e9ef5286addb8c6 | 7,512 | py | Python | python/examples/datacollection.py | RedEyeDragon/hapBack | 6db262f185fa1d8027c4c6cc04a6f45edbcbf12c | [
"BSD-2-Clause"
] | null | null | null | python/examples/datacollection.py | RedEyeDragon/hapBack | 6db262f185fa1d8027c4c6cc04a6f45edbcbf12c | [
"BSD-2-Clause"
] | null | null | null | python/examples/datacollection.py | RedEyeDragon/hapBack | 6db262f185fa1d8027c4c6cc04a6f45edbcbf12c | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/python3
import sys
import os
import json
import random
import math
import array as arr
from os.path import join as pjoin
from util.button_util import *
class DataHandler:
#global distCtr
ctr = 0
numRight = 0
distCtr ={'1': ctr, '2': ctr, '3': ctr,'4': ctr, '5': ctr}
repeatCounter ... | 35.267606 | 114 | 0.583466 |
7375ecf9f64ee74e4184dcab6eb2ca7031a9eea7 | 16,026 | py | Python | test_c_est.py | sitzikbs/DeepF | e6106953ff6d47cb126e1d2ca488a6030bdc9f81 | [
"MIT"
] | 87 | 2020-07-21T09:09:03.000Z | 2022-03-28T09:29:22.000Z | test_c_est.py | sitzikbs/DeepF | e6106953ff6d47cb126e1d2ca488a6030bdc9f81 | [
"MIT"
] | 7 | 2021-01-09T21:44:20.000Z | 2021-11-19T08:08:09.000Z | test_c_est.py | sitzikbs/DeepF | e6106953ff6d47cb126e1d2ca488a6030bdc9f81 | [
"MIT"
] | 19 | 2020-08-09T03:35:24.000Z | 2022-03-25T07:00:41.000Z | # test_c_est.py test a pretrained DeepFit model and export all estimated parameters
# Author:Itzik Ben Sabat sitzikbs[at]gmail.com
# If you use this code,see LICENSE.txt file and cite our work
from __future__ import print_function
import argparse
import os
import sys
import random
import numpy as np
import torch
impor... | 52.372549 | 178 | 0.635967 |
73766624b6734331919f356cf8e9d7f438b5aa01 | 195 | py | Python | appengine/isolate/proto/__init__.py | stefb965/luci-py | e0a8a5640c4104e5c90781d833168aa8a8d1f24d | [
"Apache-2.0"
] | 1 | 2017-10-30T15:08:10.000Z | 2017-10-30T15:08:10.000Z | appengine/isolate/proto/__init__.py | stefb965/luci-py | e0a8a5640c4104e5c90781d833168aa8a8d1f24d | [
"Apache-2.0"
] | null | null | null | appengine/isolate/proto/__init__.py | stefb965/luci-py | e0a8a5640c4104e5c90781d833168aa8a8d1f24d | [
"Apache-2.0"
] | 1 | 2020-07-05T19:54:40.000Z | 2020-07-05T19:54:40.000Z | #!/usr/bin/env python
# Copyright 2017 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
| 39 | 75 | 0.758974 |
737670d06fd3dab02a84e2ba0c23c296f23ad2dd | 2,580 | py | Python | main.py | LucasHagen/parabola-reader | 655c71b0d2a62a0157b106f51f4ef6d8eb2efa51 | [
"MIT"
] | null | null | null | main.py | LucasHagen/parabola-reader | 655c71b0d2a62a0157b106f51f4ef6d8eb2efa51 | [
"MIT"
] | null | null | null | main.py | LucasHagen/parabola-reader | 655c71b0d2a62a0157b106f51f4ef6d8eb2efa51 | [
"MIT"
] | null | null | null | import argparse
import sys
from matplotlib import pyplot as plt
import cv2
import numpy as np
from parabola import Parabola
from axis import Axis
""" ============================================================================
Python version verification
Required Python version: 3.5
==========================... | 31.463415 | 84 | 0.577907 |
7376a52e8f36b9cba9e4e183eabba6b2914a513c | 746 | py | Python | ignition/flame/tensors/__init__.py | VictorEijkhout/ignition | 95cd8ada9281db31bb7c5a64f5561b43c472cb41 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-10-05T23:14:27.000Z | 2019-10-05T23:14:27.000Z | ignition/flame/tensors/__init__.py | VictorEijkhout/ignition | 95cd8ada9281db31bb7c5a64f5561b43c472cb41 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | ignition/flame/tensors/__init__.py | VictorEijkhout/ignition | 95cd8ada9281db31bb7c5a64f5561b43c472cb41 | [
"BSD-2-Clause-FreeBSD"
] | 1 | 2019-11-14T01:27:23.000Z | 2019-11-14T01:27:23.000Z | """Symbolic tensor library
Provides a small symbolic tensor library for use with flame algorithms.
"""
# Cyclic dependencies require this order.
from tensor_expr import (
ConformityError, TensorExpr, is_zero, is_outer,
is_inner, mul_rank, expr_coeff, expr_shape, expr_rank)
from tensor import (Tensor)
from bas... | 41.444444 | 79 | 0.797587 |
7376b18e9f41ad5d20bc933f352ae1ece029b25d | 20,742 | py | Python | sync2html.py | CentOS/centos-sync-packages | acee00c62054eec8d2d85357785c9cd136b3bee8 | [
"MIT"
] | 1 | 2020-03-25T18:46:06.000Z | 2020-03-25T18:46:06.000Z | sync2html.py | CentOS/centos-sync-packages | acee00c62054eec8d2d85357785c9cd136b3bee8 | [
"MIT"
] | 11 | 2020-03-26T21:13:43.000Z | 2020-07-30T22:09:38.000Z | sync2html.py | CentOS/centos-sync-packages | acee00c62054eec8d2d85357785c9cd136b3bee8 | [
"MIT"
] | 3 | 2020-02-27T13:39:12.000Z | 2020-07-21T18:37:31.000Z | #! /usr/bin/python2
"""Sync packages from a dist-git repository to a koji build system.
Eg. Build packages which are newer in git than in the tag/compose we are
looking at.
"""
from __future__ import print_function
import koji
import json
import sys
import os
import shutil
import tempfile
import spkg
import time
imp... | 31.332326 | 146 | 0.551538 |
7376bf43c70f50ee14757028612097629736c54b | 6,688 | py | Python | libnamebench/benchmark.py | claudioandre-br/namebench | 5bb5df4b4996be6a0947810b800177481f4e7299 | [
"Apache-2.0"
] | 5 | 2015-08-19T13:22:38.000Z | 2022-02-07T00:22:44.000Z | libnamebench/benchmark.py | claudioandre/namebench | 5bb5df4b4996be6a0947810b800177481f4e7299 | [
"Apache-2.0"
] | null | null | null | libnamebench/benchmark.py | claudioandre/namebench | 5bb5df4b4996be6a0947810b800177481f4e7299 | [
"Apache-2.0"
] | 2 | 2021-02-09T15:15:47.000Z | 2021-08-28T08:53:52.000Z | # Copyright 2009 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 required by applicable law or ... | 35.015707 | 100 | 0.692883 |
7376ddf60ef82ca08784515df0592dfa4a3fc606 | 1,772 | py | Python | venv/Lib/site-packages/pyrogram/methods/auth/connect.py | D1ne2021/jjhhhjj | a090da30983b3ef276dfe4cef2ded4526f36002a | [
"MIT"
] | 5 | 2021-09-11T22:01:15.000Z | 2022-03-16T21:33:42.000Z | backend/pyrogram/methods/auth/connect.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | null | null | null | backend/pyrogram/methods/auth/connect.py | iamatlasss/social-media-analyzer | 429d1d2bbd8bfce80c50c5f8edda58f87ace668d | [
"Apache-2.0"
] | 3 | 2022-01-18T11:06:22.000Z | 2022-02-26T13:39:28.000Z | # Pyrogram - Telegram MTProto API Client Library for Python
# Copyright (C) 2017-2021 Dan <https://github.com/delivrance>
#
# This file is part of Pyrogram.
#
# Pyrogram 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... | 34.745098 | 115 | 0.684537 |
7377103315cc2a4a3824319356346cf2e817a360 | 12,141 | py | Python | tensorflow_federated/python/core/impl/computation_wrapper_test.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | 2 | 2019-07-09T10:04:39.000Z | 2019-10-02T05:10:16.000Z | tensorflow_federated/python/core/impl/computation_wrapper_test.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/core/impl/computation_wrapper_test.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2018, The TensorFlow Federated 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 ... | 33.818942 | 80 | 0.675645 |
737710c90c01c42579b6dbda919d0836e8d5cb22 | 3,305 | py | Python | conekt/flask_blast/blast.py | legumeinfo/CoNekT | 709a4980cfa255cafd456b268e274db2b4b1f5fb | [
"MIT"
] | 14 | 2018-08-20T03:07:21.000Z | 2021-11-04T11:15:31.000Z | conekt/flask_blast/blast.py | mutwil/CoNekT | f4a4496a87d14b15bcf587975b31a2edc24c6bf7 | [
"MIT"
] | 9 | 2018-07-17T15:30:47.000Z | 2021-07-05T13:11:54.000Z | conekt/flask_blast/blast.py | mutwil/CoNekT | f4a4496a87d14b15bcf587975b31a2edc24c6bf7 | [
"MIT"
] | 3 | 2019-08-05T09:16:34.000Z | 2019-12-04T23:59:28.000Z | from threading import Thread
from queue import Queue
from time import sleep
import os
import sys
import subprocess
import shlex
class BlastThread(Thread):
def __init__(self, app=None):
"""
Sets up thread, empty queue and register with app
:param app: flask-app to register with
"""... | 34.789474 | 119 | 0.565204 |
7377202b22561eea0a465211795ea8508a23471d | 4,340 | py | Python | tests/unit/auto_ml/test_interval_analyser.py | Amplo-GmbH/AutoML | eb6cc83b6e4a3ddc7c3553e9c41d236e8b48c606 | [
"MIT"
] | 5 | 2022-01-07T13:34:37.000Z | 2022-03-17T06:40:28.000Z | tests/unit/auto_ml/test_interval_analyser.py | Amplo-GmbH/AutoML | eb6cc83b6e4a3ddc7c3553e9c41d236e8b48c606 | [
"MIT"
] | 5 | 2022-03-22T13:42:22.000Z | 2022-03-31T16:20:44.000Z | tests/unit/auto_ml/test_interval_analyser.py | Amplo-GmbH/AutoML | eb6cc83b6e4a3ddc7c3553e9c41d236e8b48c606 | [
"MIT"
] | 1 | 2021-12-17T22:41:11.000Z | 2021-12-17T22:41:11.000Z | import pytest
from pathlib import Path
import numpy as np
import pandas as pd
from Amplo.AutoML import IntervalAnalyser
from Amplo.Utils.testing import make_interval_data
from tests import rmtree
def create_data_frames(n_samples, n_features):
dim = (int(n_samples / 2), n_features)
columns = [f'Feature_{i}' ... | 39.454545 | 120 | 0.624885 |
73775f568d38fabb6217fd7141f9d70ba24aaff8 | 290 | py | Python | pni_customization/pni_customization/doctype/duty_employee_group/duty_employee_group.py | DaizyModi/pni_customization | 577946e91c8fe956ca64c089327ce18174002ec4 | [
"MIT"
] | null | null | null | pni_customization/pni_customization/doctype/duty_employee_group/duty_employee_group.py | DaizyModi/pni_customization | 577946e91c8fe956ca64c089327ce18174002ec4 | [
"MIT"
] | null | null | null | pni_customization/pni_customization/doctype/duty_employee_group/duty_employee_group.py | DaizyModi/pni_customization | 577946e91c8fe956ca64c089327ce18174002ec4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2020, Jigar Tarpara and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
# import frappe
from frappe.model.document import Document
class DutyEmployeeGroup(Document):
def validate(self):
pass | 26.363636 | 52 | 0.775862 |
73778b3768a738db9edfba9fe170ba200ecd7131 | 4,320 | py | Python | main.py | DeniBademi/Fourier-Series-drawing-replicator | 78605d2fd263d36a7f03b5f00110f1ad372e1400 | [
"MIT"
] | null | null | null | main.py | DeniBademi/Fourier-Series-drawing-replicator | 78605d2fd263d36a7f03b5f00110f1ad372e1400 | [
"MIT"
] | null | null | null | main.py | DeniBademi/Fourier-Series-drawing-replicator | 78605d2fd263d36a7f03b5f00110f1ad372e1400 | [
"MIT"
] | null | null | null | # Code by Denis Zahariev(DeniBademi) 2021
# Made with <3 and python
# Email: denis.zaharievv@gmail.com
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
from matplotlib.cm import get_cmap
from basicAnimation import drawingMachine as dW
from basicAnimation import animateF
impor... | 27.169811 | 115 | 0.610648 |
7377967491710827522883f7d8d1528d3e3d4b88 | 5,037 | py | Python | tests/core/consensus/test_pot_iterations.py | hulatang/skynet-blockchain | d7d6f7ec84731c13b9d6d307bb171cf0e266be82 | [
"Apache-2.0"
] | 7 | 2021-09-07T02:14:15.000Z | 2022-03-27T06:42:35.000Z | tests/core/consensus/test_pot_iterations.py | hulatang/skynet-blockchain | d7d6f7ec84731c13b9d6d307bb171cf0e266be82 | [
"Apache-2.0"
] | 1 | 2021-10-21T16:38:56.000Z | 2021-11-15T13:03:15.000Z | tests/core/consensus/test_pot_iterations.py | hulatang/skynet-blockchain | d7d6f7ec84731c13b9d6d307bb171cf0e266be82 | [
"Apache-2.0"
] | 3 | 2021-10-21T07:17:40.000Z | 2022-03-16T12:57:09.000Z | from pytest import raises
from skynet.consensus.default_constants import DEFAULT_CONSTANTS
from skynet.consensus.pos_quality import _expected_plot_size
from skynet.consensus.pot_iterations import (
calculate_ip_iters,
calculate_iterations_quality,
calculate_sp_iters,
is_overflow_block,
)
from skynet.ut... | 43.422414 | 120 | 0.655747 |
7377ae0f8476ff2b12e7be4d197e8739b2463bb8 | 10,476 | py | Python | collections/ansible_collections/community/general/plugins/modules/pipx.py | escalate/my-smart-home | a9579c845761b980515ff34d2a95568c6e7c2b6c | [
"MIT"
] | 22 | 2021-07-16T08:11:22.000Z | 2022-03-31T07:15:34.000Z | Ansible-AWS-Provisioning/collections/ansible_collections/community/general/plugins/modules/pipx.py | premsagar0228/ansible-real-life | 1a51193b833ab6ad320100472333b9ffb0da39d4 | [
"MIT"
] | 1 | 2022-03-12T02:25:26.000Z | 2022-03-12T02:25:26.000Z | Ansible-AWS-Provisioning/collections/ansible_collections/community/general/plugins/modules/pipx.py | premsagar0228/ansible-real-life | 1a51193b833ab6ad320100472333b9ffb0da39d4 | [
"MIT"
] | 39 | 2021-07-05T02:31:42.000Z | 2022-03-31T02:46:03.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2021, Alexei Znamensky <russoz@gmail.com>
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
from __future__ import absolute_import, division, print_function
__metaclass__ = type
DOCUMENTATION = '''
---
module: pipx
short_desc... | 36.757895 | 134 | 0.610443 |
7377bfb958ca9fc68772e5e1d0b2735c15a371d2 | 895 | py | Python | jaffle/app/pytest/lexer.py | albert118/jaffle | 55da4d75ad3a9ca633af3865cc35b73e3406a4ef | [
"BSD-3-Clause"
] | 5 | 2018-06-13T14:10:43.000Z | 2020-04-26T20:48:59.000Z | jaffle/app/pytest/lexer.py | albert118/jaffle | 55da4d75ad3a9ca633af3865cc35b73e3406a4ef | [
"BSD-3-Clause"
] | 1 | 2018-05-02T02:31:24.000Z | 2018-05-02T02:31:24.000Z | jaffle/app/pytest/lexer.py | albert118/jaffle | 55da4d75ad3a9ca633af3865cc35b73e3406a4ef | [
"BSD-3-Clause"
] | 2 | 2021-05-17T16:27:16.000Z | 2022-02-09T09:06:12.000Z | # -*- coding: utf-8 -*-
from prompt_toolkit.layout.lexers import Lexer
from pygments.token import Token
class PyTestLexer(Lexer):
def lex_document(self, cli, document):
lines = document.lines
def get_line(lineno):
try:
line = lines[lineno]
if '::' in l... | 27.121212 | 75 | 0.522905 |
7377e162e636bf298226a6096f747bfc9b98eb1f | 4,760 | py | Python | anlg/tokenizers.py | rlebras/abductive-commonsense-reasoning | 1632561ea87da2129fc2275498f52e175b75b8ec | [
"Apache-2.0"
] | 41 | 2020-02-27T22:46:13.000Z | 2022-03-22T02:53:32.000Z | anlg/tokenizers.py | higuseonhye/abductive-commonsense-reasoning | 3407ad999ccc351fc78dd0598d584d1e9f5bd2fc | [
"Apache-2.0"
] | 3 | 2020-04-05T20:20:06.000Z | 2020-09-01T10:19:05.000Z | anlg/tokenizers.py | higuseonhye/abductive-commonsense-reasoning | 3407ad999ccc351fc78dd0598d584d1e9f5bd2fc | [
"Apache-2.0"
] | 16 | 2020-04-29T22:56:27.000Z | 2022-03-20T15:22:00.000Z | from comet.data.atomic import all_categories
from pytorch_transformers import GPT2Tokenizer
class AnliGpt2Tokenizer(GPT2Tokenizer):
def __init__(self,
vocab_file,
merges_file,
errors='replace',
unk_token="<|endoftext|>",
bos_toke... | 35 | 94 | 0.536765 |
7377f33ceedafaae12337d5313cd2b9ef7201431 | 13,405 | py | Python | satella/coding/misc.py | piotrmaslanka/satella | bf4ba7a21ad2ac93a366442a2b4574dc5568b87e | [
"MIT"
] | 12 | 2019-12-13T10:17:38.000Z | 2022-01-05T09:01:36.000Z | satella/coding/misc.py | piotrmaslanka/satella | bf4ba7a21ad2ac93a366442a2b4574dc5568b87e | [
"MIT"
] | 26 | 2016-04-01T11:55:26.000Z | 2021-12-30T17:03:59.000Z | satella/coding/misc.py | piotrmaslanka/satella | bf4ba7a21ad2ac93a366442a2b4574dc5568b87e | [
"MIT"
] | 1 | 2021-05-31T08:45:22.000Z | 2021-05-31T08:45:22.000Z | import enum
import typing as tp
import warnings
from inspect import Parameter, signature
from queue import Queue
from satella.coding.recast_exceptions import rethrow_as
def enum_value(value):
"""
If value is an enum, extract and return it's value.
Otherwise, return it as-is.
:param value: value to ... | 32.223558 | 100 | 0.60925 |
73780623f90dbadefa7480c6805403279bcaec73 | 2,513 | py | Python | aws-auth0-auth/authorizer.py | skarlekar/ms-auth-tutorials | 0de172817e54533be93700de19028cfa8757861f | [
"MIT"
] | null | null | null | aws-auth0-auth/authorizer.py | skarlekar/ms-auth-tutorials | 0de172817e54533be93700de19028cfa8757861f | [
"MIT"
] | 1 | 2021-06-01T21:41:36.000Z | 2021-06-01T21:41:36.000Z | aws-auth0-auth/authorizer.py | skarlekar/ms-auth-tutorials | 0de172817e54533be93700de19028cfa8757861f | [
"MIT"
] | 1 | 2017-10-26T15:08:40.000Z | 2017-10-26T15:08:40.000Z | """
Policy Generator.
Validate the given token and create an AWS policy.
"""
import tokenizer
import json
import logging
from argparse import ArgumentParser
def authorize(principalId, token, domain, audience, resource):
"""
Authorize the given resource for the prinicpal if the token is valid.
1. Use th... | 33.506667 | 79 | 0.611222 |
7378106c8824039275d1892a0fcc505a448d052e | 9,590 | py | Python | src/python/pants/releases/packages.py | mpopenko-exos/pants | 47d27037c8b13291fc9023e56ddd1b1defdf1b8e | [
"Apache-2.0"
] | null | null | null | src/python/pants/releases/packages.py | mpopenko-exos/pants | 47d27037c8b13291fc9023e56ddd1b1defdf1b8e | [
"Apache-2.0"
] | 1 | 2018-09-04T17:37:34.000Z | 2018-09-04T19:42:58.000Z | src/python/pants/releases/packages.py | mpopenko-exos/pants | 47d27037c8b13291fc9023e56ddd1b1defdf1b8e | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import argparse
import json
import os
import subprocess
import sys
from collections import defaultdict
from configparser import ConfigParser
from functools import total_ordering
from urlli... | 34.496403 | 187 | 0.693014 |
73781d3a85a0b959a3d90e230ece0788166357da | 3,242 | py | Python | chapter13-op-overloading/vector2d_v3.py | cgDeepLearn/fluentpython | ff89ad5a7da59c71f57b6392c9f5d5c6178e0475 | [
"MIT"
] | 1 | 2019-11-23T05:57:02.000Z | 2019-11-23T05:57:02.000Z | chapter13-op-overloading/vector2d_v3.py | cgDeepLearn/fluentpython | ff89ad5a7da59c71f57b6392c9f5d5c6178e0475 | [
"MIT"
] | null | null | null | chapter13-op-overloading/vector2d_v3.py | cgDeepLearn/fluentpython | ff89ad5a7da59c71f57b6392c9f5d5c6178e0475 | [
"MIT"
] | 1 | 2019-11-23T05:57:43.000Z | 2019-11-23T05:57:43.000Z | """
A 2-dimensional vector class
>>> v1 = Vector2d(3, 4)
>>> print(v1.x, v1.y)
3.0 4.0
>>> x, y = v1
>>> x, y
(3.0, 4.0)
>>> v1
Vector2d(3.0, 4.0)
>>> v1_clone = eval(repr(v1))
>>> v1 == v1_clone
True
>>> print(v1)
(3.0, 4.0)
>>> octets = bytes(v1)
>>> octets... | 23.492754 | 80 | 0.523442 |
7378306b2c81de05d7c02f0bff1a514e80d1436a | 9,117 | py | Python | google-cloud-sdk/.install/.backup/lib/surface/compute/https_health_checks/update.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2017-11-29T18:52:27.000Z | 2017-11-29T18:52:27.000Z | google-cloud-sdk/.install/.backup/lib/surface/compute/https_health_checks/update.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | null | null | null | google-cloud-sdk/.install/.backup/lib/surface/compute/https_health_checks/update.py | KaranToor/MA450 | c98b58aeb0994e011df960163541e9379ae7ea06 | [
"Apache-2.0"
] | 1 | 2020-07-25T12:09:01.000Z | 2020-07-25T12:09:01.000Z | # Copyright 2014 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 required by applicable law or ag... | 39.297414 | 79 | 0.660086 |
73783fd7e19e803f74f3db1ccd74783411de8539 | 997 | py | Python | 2021/5/solution1.py | frenzymadness/aoc | c9018e757bae61a696e675a827aef873995abdd3 | [
"WTFPL"
] | 2 | 2020-12-04T09:45:38.000Z | 2020-12-07T14:06:12.000Z | 2021/5/solution1.py | frenzymadness/aoc | c9018e757bae61a696e675a827aef873995abdd3 | [
"WTFPL"
] | null | null | null | 2021/5/solution1.py | frenzymadness/aoc | c9018e757bae61a696e675a827aef873995abdd3 | [
"WTFPL"
] | null | null | null | import re
from collections import defaultdict
class Line:
def __init__(self, x1, y1, x2, y2):
self.x1 = min(x1, x2)
self.x2 = max(x1, x2)
self.y1 = min(y1, y2)
self.y2 = max(y1, y2)
def all_points(self):
for x in range(self.x1, self.x2+1):
for y in range(se... | 26.236842 | 63 | 0.542628 |
7378a497577e63bfa8ca09ad999741fd04de84d1 | 58,235 | py | Python | deep-conus/08_dlmodel_evaluator.py | mariajmolina/deep-conus | 33f9e2af3e39d9f03c7f9b8388fe9cd29224b624 | [
"MIT"
] | 5 | 2020-09-28T16:48:52.000Z | 2021-03-19T07:54:27.000Z | deep-conus/08_dlmodel_evaluator.py | mariajmolina/deep-conus | 33f9e2af3e39d9f03c7f9b8388fe9cd29224b624 | [
"MIT"
] | null | null | null | deep-conus/08_dlmodel_evaluator.py | mariajmolina/deep-conus | 33f9e2af3e39d9f03c7f9b8388fe9cd29224b624 | [
"MIT"
] | 2 | 2021-03-08T21:58:44.000Z | 2021-03-09T06:50:38.000Z | from keras.models import load_model
import xarray as xr
import numpy as np
import pandas as pd
from sklearn.metrics.cluster import contingency_matrix
from sklearn.metrics import roc_curve
from sklearn.metrics import roc_auc_score
import multiprocessing as mp
from hagelslag.evaluation.ProbabilityMetrics import Distribut... | 42.168718 | 208 | 0.560556 |
7378a88e2da05bd1552acb77297c588fa9dce9e0 | 3,740 | py | Python | src/zeit/content/cp/browser/blocks/tests/test_automatic.py | ZeitOnline/zeit.content.cp | ee1dbc34e385e47a5c52eabbe01cdae2df09bd76 | [
"BSD-3-Clause"
] | null | null | null | src/zeit/content/cp/browser/blocks/tests/test_automatic.py | ZeitOnline/zeit.content.cp | ee1dbc34e385e47a5c52eabbe01cdae2df09bd76 | [
"BSD-3-Clause"
] | 11 | 2015-04-16T14:15:08.000Z | 2019-02-01T13:23:17.000Z | src/zeit/content/cp/browser/blocks/tests/test_automatic.py | ZeitOnline/zeit.content.cp | ee1dbc34e385e47a5c52eabbe01cdae2df09bd76 | [
"BSD-3-Clause"
] | 1 | 2015-12-03T14:58:26.000Z | 2015-12-03T14:58:26.000Z | import transaction
import unittest
import zeit.cms.checkout.interfaces
import zeit.content.cp.testing
class TestAutomaticTeaserBlock(zeit.content.cp.testing.SeleniumTestCase):
def setUp(self):
super(TestAutomaticTeaserBlock, self).setUp()
self.auto_teaser_title = 'Teaser Title Foo'
teaser... | 42.022472 | 78 | 0.696257 |
7378bd8ab25794a99d5147cbdf65f9a12c4d6ee3 | 505 | py | Python | math_and_algorithm/033.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | 2 | 2022-01-22T07:56:58.000Z | 2022-01-24T00:29:37.000Z | math_and_algorithm/033.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | math_and_algorithm/033.py | tonko2/AtCoder | 5d617072517881d226d7c8af09cb88684d41af7e | [
"Xnet",
"X11",
"CECILL-B"
] | null | null | null | import math
ax, ay = map(int, input().split())
bx, by = map(int, input().split())
cx, cy = map(int, input().split())
bc = (cx - bx, cy - by)
ba = (ax - bx, ay - by)
ca = (ax - cx, ay - cy)
cb = (bx - cx, by - cy)
if bc[0] * ba[0] + bc[1] * ba[1] < 0:
print(math.sqrt(ba[0] ** 2 + ba[1] ** 2))
elif cb[0] * ca[0] +... | 25.25 | 47 | 0.471287 |
7378e69ea642ee6a8ed02fa8af52dbda9314e266 | 1,124 | py | Python | alipay/aop/api/response/AlipaySocialAntfarmProjectinfoQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 213 | 2018-08-27T16:49:32.000Z | 2021-12-29T04:34:12.000Z | alipay/aop/api/response/AlipaySocialAntfarmProjectinfoQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 29 | 2018-09-29T06:43:00.000Z | 2021-09-02T03:27:32.000Z | alipay/aop/api/response/AlipaySocialAntfarmProjectinfoQueryResponse.py | antopen/alipay-sdk-python-all | 8e51c54409b9452f8d46c7bb10eea7c8f7e8d30c | [
"Apache-2.0"
] | 59 | 2018-08-27T16:59:26.000Z | 2022-03-25T10:08:15.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.response.AlipayResponse import AlipayResponse
from alipay.aop.api.domain.AntfarmProjectInfo import AntfarmProjectInfo
class AlipaySocialAntfarmProjectinfoQueryResponse(AlipayResponse):
def __init__(self):
super(AlipaySocialAnt... | 34.060606 | 116 | 0.69395 |
7378edd72a6595c14261465d110b59c7640802c0 | 566 | py | Python | mortimer/__init__.py | colekowalski/mortimer | f280de0e43a7cecc51a5192eadb77c1b52cbb553 | [
"Apache-2.0"
] | 1 | 2016-09-17T10:20:54.000Z | 2016-09-17T10:20:54.000Z | mortimer/__init__.py | colekowalski/mortimer | f280de0e43a7cecc51a5192eadb77c1b52cbb553 | [
"Apache-2.0"
] | null | null | null | mortimer/__init__.py | colekowalski/mortimer | f280de0e43a7cecc51a5192eadb77c1b52cbb553 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software... | 43.538462 | 75 | 0.761484 |
737903cdc45b8d9ce26b31ce6fcf6d425bbb7a5f | 885 | py | Python | tests/test_datasets.py | isaaccorley/detcon-pytorch | a5e03faf0c27bdbe64b72625873c0b2d3a696f04 | [
"MIT"
] | 5 | 2021-10-30T05:10:42.000Z | 2022-03-26T08:44:17.000Z | tests/test_datasets.py | isaaccorley/detcon-pytorch | a5e03faf0c27bdbe64b72625873c0b2d3a696f04 | [
"MIT"
] | 2 | 2021-12-20T08:52:50.000Z | 2021-12-28T15:14:48.000Z | tests/test_datasets.py | isaaccorley/detcon-pytorch | a5e03faf0c27bdbe64b72625873c0b2d3a696f04 | [
"MIT"
] | 1 | 2022-02-01T11:02:40.000Z | 2022-02-01T11:02:40.000Z | from detcon.datasets import VOCSegmentationDataModule, VOCSSLDataModule
ROOT = "data"
def test_voc_segmentation_datamodule() -> None:
dm = VOCSegmentationDataModule(root=ROOT)
dm.setup()
batch = next(iter(dm.train_dataloader()))
batch = dm.on_before_batch_transfer(batch, 0)
batch = dm.on_after_b... | 29.5 | 71 | 0.726554 |
73792adba67e62ac57638ba6655af9c4d2320378 | 37,596 | py | Python | soepy/solve/solve_auxiliary.py | OpenSourceEconomics/soepy | 4ff40292799e248e356d614c1a7141bd35a912c9 | [
"MIT"
] | 12 | 2018-12-17T14:46:55.000Z | 2022-03-28T21:15:33.000Z | soepy/solve/solve_auxiliary.py | OpenSourceEconomics/soepy | 4ff40292799e248e356d614c1a7141bd35a912c9 | [
"MIT"
] | 129 | 2019-02-18T08:49:39.000Z | 2022-03-25T16:52:08.000Z | soepy/solve/solve_auxiliary.py | OpenSourceEconomics/soepy | 4ff40292799e248e356d614c1a7141bd35a912c9 | [
"MIT"
] | 6 | 2019-02-19T15:23:40.000Z | 2022-03-28T21:16:00.000Z | import numpy as np
import numba
import pandas as pd
from soepy.shared.shared_constants import (
MISSING_INT,
NUM_CHOICES,
INVALID_FLOAT,
HOURS,
)
from soepy.shared.shared_auxiliary import calculate_deductions
from soepy.shared.shared_auxiliary import calculate_tax
@numba.jit(nopython=True)
def pyth_c... | 38.129817 | 94 | 0.497925 |
737932852cf97c77aadda5a6d6c01b7ce0fd6953 | 1,721 | py | Python | exercise2.py | Michael-Malania/exercises | 03ac0662067716f953815a559f1eea78cfdf9d55 | [
"MIT"
] | null | null | null | exercise2.py | Michael-Malania/exercises | 03ac0662067716f953815a559f1eea78cfdf9d55 | [
"MIT"
] | null | null | null | exercise2.py | Michael-Malania/exercises | 03ac0662067716f953815a559f1eea78cfdf9d55 | [
"MIT"
] | null | null | null | '''
Lexicographical order is often known as alphabetical order when dealing with strings. A string is greater than another string if it comes later in a lexicographically sorted list.
Given a word, create a new word by swapping some or all of its characters. This new word must meet two criteria:
● It must be grea... | 71.708333 | 179 | 0.656014 |
73794281580664c6712229d7195b8afca117dadf | 24 | py | Python | btd6_memory_info/generated/Assets/Scripts/Unity/UI_New/InGame/TechBotInput/tech_bot_input.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/Assets/Scripts/Unity/UI_New/InGame/TechBotInput/tech_bot_input.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/Assets/Scripts/Unity/UI_New/InGame/TechBotInput/tech_bot_input.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | class TechBotInput: pass | 24 | 24 | 0.875 |
737944afed142f8cdc2002c4e6f1c5dee9b53d4f | 1,377 | py | Python | tweets/migrations/0004_auto_20200608_1501.py | DougCash/twitter-bot | 2fee6e39ea407a97c4f23de55374f33cbfcf812c | [
"MIT"
] | null | null | null | tweets/migrations/0004_auto_20200608_1501.py | DougCash/twitter-bot | 2fee6e39ea407a97c4f23de55374f33cbfcf812c | [
"MIT"
] | 4 | 2020-06-06T02:30:42.000Z | 2021-06-10T20:26:46.000Z | tweets/migrations/0004_auto_20200608_1501.py | DougCash/twitter-bot | 2fee6e39ea407a97c4f23de55374f33cbfcf812c | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2020-06-08 20:01
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
... | 36.236842 | 137 | 0.634713 |
73794e96c2b13bceedfb7e3784a3ae517f5097b8 | 1,531 | py | Python | dtApp/dtData/soton_twin.py | Digital-Twin-Operational-Platform/Cristallo | 20e21f6ae0f0f99002a229c8c966fd72020698c3 | [
"BSD-3-Clause"
] | 6 | 2021-07-14T08:43:20.000Z | 2022-02-02T19:40:26.000Z | dtApp/dtData/soton_twin.py | Digital-Twin-Operational-Platform/Cristallo | 20e21f6ae0f0f99002a229c8c966fd72020698c3 | [
"BSD-3-Clause"
] | null | null | null | dtApp/dtData/soton_twin.py | Digital-Twin-Operational-Platform/Cristallo | 20e21f6ae0f0f99002a229c8c966fd72020698c3 | [
"BSD-3-Clause"
] | 2 | 2021-07-05T08:08:43.000Z | 2022-03-28T09:46:02.000Z | Soton_twin_data = {
'metadata': {
'location': 'Southampton',
'lastupdate': {
'date': '26/05/2020',
'time': '11:00'
}
},
'structure': {
'mass': {'value': 5.201, 'units': 'kg'}, # mass of each storey
'elasticityModulus': {'value': 70e9, 'units': 'Pa'},
'legWidth': {'value': 25e-3, 'units': 'm'},
'l... | 28.886792 | 82 | 0.556499 |
73795538fffa8fbae5851442df72c119fe903392 | 1,882 | py | Python | experiments/ashvin/icra2021/data_utils/smallify_npy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icra2021/data_utils/smallify_npy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | experiments/ashvin/icra2021/data_utils/smallify_npy.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | import numpy as np
import pickle
import skvideo.io
import sys
from pathlib import Path
import glob
import json
import torch
from rlkit.torch import pytorch_util as ptu
from torchvision.utils import save_image
import scipy.misc
import scipy.ndimage
import imageio
import cv2
import copy
from skimage.transform import ... | 29.40625 | 96 | 0.670032 |
73795bbd7e493b94a1e7d5e67b4657973fe432d6 | 6,242 | py | Python | consScore/amino_conservation_test.py | suliat16/consScore | c3104e26e665bcccb42f982fbb686bbdbca90f16 | [
"MIT"
] | 3 | 2018-10-04T18:45:40.000Z | 2022-01-19T14:42:14.000Z | consScore/amino_conservation_test.py | suliat16/consScore | c3104e26e665bcccb42f982fbb686bbdbca90f16 | [
"MIT"
] | 5 | 2018-10-04T11:45:03.000Z | 2018-10-09T14:16:06.000Z | consScore/amino_conservation_test.py | suliat16/consScore | c3104e26e665bcccb42f982fbb686bbdbca90f16 | [
"MIT"
] | 1 | 2018-10-04T11:17:45.000Z | 2018-10-04T11:17:45.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 1 16:58:25 2018
@author: suliat16
"""
import os
from consScore import aminoCons as am
import biskit.test
class test_amino_conservation(biskit.test.BiskitTest):
"""
Test suite testing the behaviour of the aminoCons module
"""
TAGS... | 46.237037 | 120 | 0.580743 |
73795bf85cf37eb4b5ee9de8f0c98d7309643a30 | 10,842 | py | Python | apps/logs/tests/test_manualdataupload_authorization.py | remocrevo/celus | 682b13168eb475d7f970502113e756e40a899877 | [
"MIT"
] | null | null | null | apps/logs/tests/test_manualdataupload_authorization.py | remocrevo/celus | 682b13168eb475d7f970502113e756e40a899877 | [
"MIT"
] | null | null | null | apps/logs/tests/test_manualdataupload_authorization.py | remocrevo/celus | 682b13168eb475d7f970502113e756e40a899877 | [
"MIT"
] | null | null | null | from collections import namedtuple
from io import StringIO
import pytest
from django.urls import reverse
from annotations.models import Annotation
from core.tests.conftest import *
from core.models import UL_CONS_ADMIN, UL_ORG_ADMIN, UL_CONS_STAFF
from logs.models import ManualDataUpload
from organizations.tests.conf... | 47.13913 | 97 | 0.54418 |
7379a31938c577c738ed6341c2cacf41f893098b | 9,907 | py | Python | tests/system/test_measure_interledger_ethereum.py | SOFIE-project/interledger-asset-transfer | d1c2e5ff7af564b1ac1775772132b48a46c71280 | [
"Apache-2.0"
] | 4 | 2020-12-11T18:46:35.000Z | 2022-01-07T16:58:43.000Z | tests/system/test_measure_interledger_ethereum.py | SOFIE-project/interledger-asset-transfer | d1c2e5ff7af564b1ac1775772132b48a46c71280 | [
"Apache-2.0"
] | 3 | 2021-05-11T23:45:18.000Z | 2021-09-02T18:45:25.000Z | tests/system/test_measure_interledger_ethereum.py | SOFIE-project/Interledger | d1c2e5ff7af564b1ac1775772132b48a46c71280 | [
"Apache-2.0"
] | 4 | 2020-11-04T15:36:35.000Z | 2021-08-05T12:38:08.000Z | from web3 import Web3
from unittest.mock import patch
import pytest, time
import asyncio
from uuid import uuid4
from interledger.interledger import Interledger
from interledger.adapter.ethereum import EthereumInitiator, EthereumResponder
from .test_setup import setUp, create_token, accept_token, transfer_token, calcul... | 44.426009 | 120 | 0.681942 |
7379ca7ed2d52c793fee54ab8701b63c44a3fc30 | 8,514 | py | Python | caastools/plots.py | Awesomium40/caastools | acfae5e9117f0d9a49ebf78fd20c471070cf3915 | [
"MIT"
] | null | null | null | caastools/plots.py | Awesomium40/caastools | acfae5e9117f0d9a49ebf78fd20c471070cf3915 | [
"MIT"
] | null | null | null | caastools/plots.py | Awesomium40/caastools | acfae5e9117f0d9a49ebf78fd20c471070cf3915 | [
"MIT"
] | null | null | null | from .database import Utterance
from matplotlib import pyplot as plt
import numpy
import pandas
import typing
__all__ = ['disagreement_heatmap', 'reliability_plot', 'parsing_alignment_plot']
def _plot_parsing_axis_(results, category_names, ax, pad_first=False, enum_every=25):
"""
Plots the parsing alignment... | 41.735294 | 119 | 0.677942 |
737a049a0f44517f17a68bb64c77c1999b74b33d | 6,349 | py | Python | src/communication/azext_communication/manual/_help.py | saisankargochhayat/azure-cli-extensions | f89443a766961f984977a2cf1b682973fcb61edd | [
"MIT"
] | null | null | null | src/communication/azext_communication/manual/_help.py | saisankargochhayat/azure-cli-extensions | f89443a766961f984977a2cf1b682973fcb61edd | [
"MIT"
] | null | null | null | src/communication/azext_communication/manual/_help.py | saisankargochhayat/azure-cli-extensions | f89443a766961f984977a2cf1b682973fcb61edd | [
"MIT"
] | 1 | 2022-02-14T21:43:29.000Z | 2022-02-14T21:43:29.000Z | # --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
#
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incor... | 37.568047 | 170 | 0.670657 |
737a1df8ff2780dddfd81b78be83d743cc128417 | 5,344 | py | Python | rlkit/torch/sets/swae.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | rlkit/torch/sets/swae.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | rlkit/torch/sets/swae.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | """
From: https://raw.githubusercontent.com/eifuentes/swae-pytorch/master/swae/trainer.py
"""
import numpy as np
import torch
import torch.nn.functional as F
import rlkit.torch.pytorch_util as ptu
def rand_projections(embedding_dim, num_samples=50):
"""This function generates `num_samples` random samples from t... | 41.107692 | 99 | 0.655314 |
737a1ea9da1d8b2f1d96e2bbaf1aafaec8afed7e | 3,350 | py | Python | scripts/practice/Amazon/ShortestPathtoGetFood.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | null | null | null | scripts/practice/Amazon/ShortestPathtoGetFood.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | 8 | 2020-09-05T16:04:31.000Z | 2022-02-27T09:57:51.000Z | scripts/practice/Amazon/ShortestPathtoGetFood.py | bhimeshchauhan/competitive_programming | e0777bb0c425ffa03d8173a83e50ca55c4a3fcf5 | [
"MIT"
] | null | null | null | """
Shortest Path to Get Food
You are starving and you want to eat food as quickly as possible.
You want to find the shortest path to arrive at any food cell.
You are given an m x n character matrix, grid, of these different types of cells:
'*' is your location. There is exactly one '*' cell.
'#' is a food cell. T... | 26.171875 | 103 | 0.550448 |
737a3eecd550e5eeac984c966812a21574d2dc67 | 1,439 | py | Python | toontown/building/TutorialBuildingAI.py | LittleNed/toontown-stride | 1252a8f9a8816c1810106006d09c8bdfe6ad1e57 | [
"Apache-2.0"
] | 3 | 2020-01-02T08:43:36.000Z | 2020-07-05T08:59:02.000Z | toontown/building/TutorialBuildingAI.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | null | null | null | toontown/building/TutorialBuildingAI.py | NoraTT/Historical-Commits-Project-Altis-Source | fe88e6d07edf418f7de6ad5b3d9ecb3d0d285179 | [
"Apache-2.0"
] | 4 | 2019-06-20T23:45:23.000Z | 2020-10-14T20:30:15.000Z | from toontown.building import DistributedDoorAI
from toontown.building import DoorTypes
from toontown.building.DistributedTutorialInteriorAI import DistributedTutorialInteriorAI
class TutorialBuildingAI:
def __init__(self, air, exteriorZone, interiorZone, blockNumber, tutorialNpcId):
self.air = air
... | 41.114286 | 89 | 0.724809 |
737a435a59c6a6d580ed149be511b17403aec72f | 5,146 | py | Python | galpy/potential/DissipativeForce.py | turnergarrow/galpy | 7132eddbf2dab491fe137790e31eacdc604b0534 | [
"BSD-3-Clause"
] | 1 | 2019-02-28T08:54:38.000Z | 2019-02-28T08:54:38.000Z | galpy/potential/DissipativeForce.py | BurcuAkbulut/galpy | cabb42bef3b4f88a2f593cdb123452cd41451db3 | [
"BSD-3-Clause"
] | null | null | null | galpy/potential/DissipativeForce.py | BurcuAkbulut/galpy | cabb42bef3b4f88a2f593cdb123452cd41451db3 | [
"BSD-3-Clause"
] | null | null | null | ###############################################################################
# DissipativeForce.py: top-level class for non-conservative forces
###############################################################################
import numpy
from .Force import Force
from galpy.util.bovy_conversion import physical_conve... | 26.802083 | 102 | 0.580839 |
737a671d14eed1f8ef63fe06cdbd10f726fafc37 | 666 | py | Python | LC/48.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | 2 | 2018-02-24T17:20:02.000Z | 2018-02-24T17:25:43.000Z | LC/48.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | LC/48.py | szhu3210/LeetCode_Solutions | 64747eb172c2ecb3c889830246f3282669516e10 | [
"MIT"
] | null | null | null | class Solution(object):
def rotate(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: void Do not return anything, modify matrix in-place instead.
"""
n=len(matrix)
for level in xrange(n/2):
for i in xrange(n-2*level-1):
matrix[level]... | 37 | 76 | 0.46997 |
737a6c7a8e07d314634ed91add929abd8bb94612 | 459 | py | Python | mysql/tests/tags.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2020-08-08T02:01:01.000Z | 2020-08-08T02:01:01.000Z | mysql/tests/tags.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2018-08-15T05:50:17.000Z | 2018-08-15T05:50:17.000Z | mysql/tests/tags.py | seants/integrations-core | 1e5548915fc24f1bbd095e845f0940c22992b09c | [
"BSD-3-Clause"
] | 1 | 2019-03-06T14:30:52.000Z | 2019-03-06T14:30:52.000Z | # (C) Datadog, Inc. 2010-2017
# All rights reserved
# Licensed under Simplified BSD License (see LICENSE)
import common
METRIC_TAGS = ['tag1', 'tag2']
SC_TAGS = ['server:' + common.HOST, 'port:' + str(common.PORT), 'tag1', 'tag2']
SC_TAGS_MIN = ['server:' + common.HOST, 'port:' + str(common.PORT)]
SC_TAGS_REPLICA = [... | 38.25 | 93 | 0.675381 |
737a75df8662cd82feda14b299fffde7a2da9020 | 420 | py | Python | reo/migrations/0117_financialmodel_generator_fuel_escalation_pct.py | NREL/REopt_API | fbc70f3b0cdeec9ee220266d6b3b0c5d64f257a6 | [
"BSD-3-Clause"
] | 7 | 2022-01-29T12:10:10.000Z | 2022-03-28T13:45:20.000Z | reo/migrations/0117_financialmodel_generator_fuel_escalation_pct.py | NREL/reopt_api | fbc70f3b0cdeec9ee220266d6b3b0c5d64f257a6 | [
"BSD-3-Clause"
] | 12 | 2022-02-01T18:23:18.000Z | 2022-03-31T17:22:17.000Z | reo/migrations/0117_financialmodel_generator_fuel_escalation_pct.py | NREL/REopt_API | fbc70f3b0cdeec9ee220266d6b3b0c5d64f257a6 | [
"BSD-3-Clause"
] | 3 | 2022-02-08T19:44:40.000Z | 2022-03-12T11:05:36.000Z | # Generated by Django 3.1.8 on 2021-06-03 16:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('reo', '0116_auto_20210520_2348'),
]
operations = [
migrations.AddField(
model_name='financialmodel',
name='generator... | 22.105263 | 59 | 0.62381 |
737a82bbec2dde8766dce259398cb09f5ee67c61 | 46,891 | py | Python | tensorflow_federated/python/core/impl/graph_utils_test.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | 2 | 2019-07-09T10:04:39.000Z | 2019-10-02T05:10:16.000Z | tensorflow_federated/python/core/impl/graph_utils_test.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | null | null | null | tensorflow_federated/python/core/impl/graph_utils_test.py | xueyuuu/federated | ad617401324c133eb838e4e0af7442a4dfa71d6e | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2018, The TensorFlow Federated 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 ... | 43.019266 | 80 | 0.661108 |
737a84f058d0089f825896a48c20b51633f3fdb2 | 4,146 | py | Python | openapi_client/models/stops.py | hypostulate/mbta-api-client | f18903b6269c523c733a31574ff4579349fed3f8 | [
"MIT"
] | null | null | null | openapi_client/models/stops.py | hypostulate/mbta-api-client | f18903b6269c523c733a31574ff4579349fed3f8 | [
"MIT"
] | null | null | null | openapi_client/models/stops.py | hypostulate/mbta-api-client | f18903b6269c523c733a31574ff4579349fed3f8 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
MBTA
MBTA service API. https://www.mbta.com Source code: https://github.com/mbta/api # noqa: E501
The version of the OpenAPI document: 3.0
Contact: developer@mbta.com
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from op... | 27.456954 | 97 | 0.567294 |
737acc89e1a971dd103563c91a310098da03d546 | 2,199 | py | Python | main_2D_test.py | LMikeH/ocbnn-lmikh | 23f6a3c4c668bbffda82aabdd7139eb761091c48 | [
"MIT"
] | null | null | null | main_2D_test.py | LMikeH/ocbnn-lmikh | 23f6a3c4c668bbffda82aabdd7139eb761091c48 | [
"MIT"
] | null | null | null | main_2D_test.py | LMikeH/ocbnn-lmikh | 23f6a3c4c668bbffda82aabdd7139eb761091c48 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import logging
import matplotlib.pyplot as plt
from matplotlib.patches import Rectangle
from bnn.svgd import *
from bnn.hmc import *
def rastrigin(params, noise_factor):
"""
This function generates
:param params:
:param noise_factor:
:return:
"""
ras = 10*... | 27.4875 | 141 | 0.666667 |
737ad6d9db8fa954938f1326d3dfa11e3e2b07af | 450 | py | Python | app/models/survivors/special_attributes.py | theLaborInVain/kdm-manager-api | fa8744c9b8a739262d1b94900648254cc69d16e1 | [
"MIT"
] | 2 | 2020-03-04T13:43:45.000Z | 2020-11-03T20:34:21.000Z | app/models/survivors/special_attributes.py | theLaborInVain/kdm-manager-api | fa8744c9b8a739262d1b94900648254cc69d16e1 | [
"MIT"
] | 64 | 2019-07-19T19:19:50.000Z | 2022-03-03T21:19:28.000Z | app/models/survivors/special_attributes.py | theLaborInVain/kdm-manager-api | fa8744c9b8a739262d1b94900648254cc69d16e1 | [
"MIT"
] | null | null | null | """
Survivor Special Attributes are a pseudo asset: they're essentially
pointers to multiple assets or flags that indicate that certain rules
apply to a survivor.
"""
from app.assets.survivors import special_attributes
from app import models
class Assets(models.AssetCollection):
def __init__(self... | 23.684211 | 73 | 0.733333 |
737ae990c579db3884aa54faab7d0b72f59d8a86 | 14,644 | py | Python | blatann/nrf/nrf_types/gatt.py | dkkeller/blatann | 2b72df4812f68fb718ab96d16c82343ee35969a5 | [
"BSD-3-Clause"
] | null | null | null | blatann/nrf/nrf_types/gatt.py | dkkeller/blatann | 2b72df4812f68fb718ab96d16c82343ee35969a5 | [
"BSD-3-Clause"
] | null | null | null | blatann/nrf/nrf_types/gatt.py | dkkeller/blatann | 2b72df4812f68fb718ab96d16c82343ee35969a5 | [
"BSD-3-Clause"
] | null | null | null | from enum import Enum
import logging
from blatann.nrf.nrf_dll_load import driver
import blatann.nrf.nrf_driver_types as util
from blatann.nrf.nrf_types.generic import BLEUUID, BLEUUIDBase
from blatann.nrf.nrf_types.smp import *
from blatann.nrf.nrf_types.enums import *
logger = logging.getLogger(__name__)
N... | 35.201923 | 114 | 0.640604 |
737aef856f856277006cf481e542fad2ca9b9a55 | 39,815 | py | Python | ngraph_onnx/onnx_importer/ops_bridge/opset_01.py | bergtholdt/ngraph-onnx | 122de3d6c2a6f7f6e24ff2f8a5551b5465c618f6 | [
"Apache-2.0"
] | null | null | null | ngraph_onnx/onnx_importer/ops_bridge/opset_01.py | bergtholdt/ngraph-onnx | 122de3d6c2a6f7f6e24ff2f8a5551b5465c618f6 | [
"Apache-2.0"
] | null | null | null | ngraph_onnx/onnx_importer/ops_bridge/opset_01.py | bergtholdt/ngraph-onnx | 122de3d6c2a6f7f6e24ff2f8a5551b5465c618f6 | [
"Apache-2.0"
] | null | null | null | # ******************************************************************************
# Copyright 2018 Intel Corporation
#
# 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.o... | 41.954689 | 120 | 0.671229 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.