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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7959f2b20cb87e5a7794dafbb97222d684aaba8b | 1,316 | py | Python | var/spack/repos/builtin/packages/angsd/package.py | adrianjhpc/spack | 0a9e4fcee57911f2db586aa50c8873d9cca8de92 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2020-10-15T01:08:42.000Z | 2021-10-18T01:28:18.000Z | var/spack/repos/builtin/packages/angsd/package.py | adrianjhpc/spack | 0a9e4fcee57911f2db586aa50c8873d9cca8de92 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2019-07-30T10:12:28.000Z | 2019-12-17T09:02:27.000Z | var/spack/repos/builtin/packages/angsd/package.py | adrianjhpc/spack | 0a9e4fcee57911f2db586aa50c8873d9cca8de92 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 5 | 2019-07-30T09:42:14.000Z | 2021-01-25T05:39:20.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Angsd(MakefilePackage):
"""Angsd is a program for analysing NGS data. The software can han... | 38.705882 | 95 | 0.715046 |
7959f31fd40cac1e14f726eb7be54ea312f8e647 | 12,587 | py | Python | electronics_abstract_parts/AbstractPowerConverters.py | lab11/PolymorphicBlocks | 52e5ee332fddc9a9f583ebabfca863365e873bf7 | [
"BSD-3-Clause"
] | null | null | null | electronics_abstract_parts/AbstractPowerConverters.py | lab11/PolymorphicBlocks | 52e5ee332fddc9a9f583ebabfca863365e873bf7 | [
"BSD-3-Clause"
] | null | null | null | electronics_abstract_parts/AbstractPowerConverters.py | lab11/PolymorphicBlocks | 52e5ee332fddc9a9f583ebabfca863365e873bf7 | [
"BSD-3-Clause"
] | null | null | null | from electronics_model import *
from .Categories import *
from .AbstractPassives import Inductor, DecouplingCapacitor
@abstract_block
class DcDcConverter(PowerConditioner):
"""Base class for all DC-DC converters with shared ground (non-isoalted)."""
@init_in_parent
def __init__(self, output_voltage: RangeExpr =... | 48.976654 | 152 | 0.726384 |
7959f3783ba03583b1f6c773e0051b374b030d39 | 13,965 | py | Python | nova/tests/rpc/test_qpid.py | bopopescu/openstack-12 | 2c7e0d1e63cae7aaa38095439843c9a2abb0382b | [
"Apache-2.0"
] | null | null | null | nova/tests/rpc/test_qpid.py | bopopescu/openstack-12 | 2c7e0d1e63cae7aaa38095439843c9a2abb0382b | [
"Apache-2.0"
] | null | null | null | nova/tests/rpc/test_qpid.py | bopopescu/openstack-12 | 2c7e0d1e63cae7aaa38095439843c9a2abb0382b | [
"Apache-2.0"
] | null | null | null | # vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# All Rights Reserved.
# Copyright 2012, Red Hat, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# no... | 41.19469 | 79 | 0.59642 |
7959f44b320e8af507eed230b3646ff203621324 | 5,361 | py | Python | AddNewUser.py | najla88/SaedRobot | 6c7e00d6572715f2fdaff96a3ca4b221b2c0af9e | [
"MIT"
] | null | null | null | AddNewUser.py | najla88/SaedRobot | 6c7e00d6572715f2fdaff96a3ca4b221b2c0af9e | [
"MIT"
] | null | null | null | AddNewUser.py | najla88/SaedRobot | 6c7e00d6572715f2fdaff96a3ca4b221b2c0af9e | [
"MIT"
] | null | null | null | #!/usr/bin/python
########################################################################
# written by : Reem AlJunaid, CS, #
# Imam Abdulrahman AlFaisal University #
#----------------------------------------------------------------------#
# #
# This interface manages the... | 38.847826 | 156 | 0.626003 |
7959f45c36ca3723dc1e68771c51f05cade94ec6 | 631 | py | Python | scripts/state.py | mimno/mallet_state_tools | 5bf47b74e4ce875b65c4919227d7c9f8f7839be5 | [
"Apache-2.0"
] | null | null | null | scripts/state.py | mimno/mallet_state_tools | 5bf47b74e4ce875b65c4919227d7c9f8f7839be5 | [
"Apache-2.0"
] | null | null | null | scripts/state.py | mimno/mallet_state_tools | 5bf47b74e4ce875b65c4919227d7c9f8f7839be5 | [
"Apache-2.0"
] | null | null | null | import regex
import gzip, regex
whitespace_pattern = regex.compile("\s+")
def read_state(filename):
tokens = []
with gzip.open(filename, "rt", encoding="UTF8") as reader:
for line in reader:
if not line.startswith("#"):
tokens.append(parse_line(line))
return tokens
de... | 26.291667 | 62 | 0.616482 |
7959f47d2adae58aaf73689e9e1c9f8fa5660f9d | 4,698 | py | Python | tools/fetch_ztf_matchfiles.py | dannygoldstein/kowalski | db955f85f8e2737534c40266a7ca500c96cef80d | [
"MIT"
] | null | null | null | tools/fetch_ztf_matchfiles.py | dannygoldstein/kowalski | db955f85f8e2737534c40266a7ca500c96cef80d | [
"MIT"
] | 2 | 2021-02-02T19:42:19.000Z | 2021-03-16T00:10:25.000Z | tools/fetch_ztf_matchfiles.py | dannygoldstein/kowalski | db955f85f8e2737534c40266a7ca500c96cef80d | [
"MIT"
] | null | null | null | import argparse
from bs4 import BeautifulSoup
import multiprocessing as mp
from multiprocessing.pool import ThreadPool
import os
import pandas as pd
import pathlib
import requests
import subprocess
from tqdm.auto import tqdm
from utils import load_config
''' load config and secrets '''
# config = load_config(path='... | 29.734177 | 104 | 0.557684 |
7959f4f37cd95c3c025120b6b4a4d392f342b7af | 2,391 | py | Python | examples/ffchangeglyphnames.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 41 | 2015-05-21T21:12:26.000Z | 2022-02-17T17:23:14.000Z | examples/ffchangeglyphnames.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 63 | 2015-05-15T10:25:55.000Z | 2021-02-23T04:51:17.000Z | examples/ffchangeglyphnames.py | simoncozens/pysilfont | bb8a9fc58a83e074bbcc466ba058841845b9107e | [
"MIT"
] | 12 | 2015-06-12T11:52:08.000Z | 2020-09-23T10:40:59.000Z | #!/usr/bin/env python
from __future__ import unicode_literals
'''Update glyph names in a font based on csv file
- Using FontForge rather than UFOlib so it can work with ttf (or sfd) files'''
__url__ = 'http://github.com/silnrsi/pysilfont'
__copyright__ = 'Copyright (c) 2016 SIL International (http://www.sil.org)'
__... | 36.227273 | 99 | 0.630698 |
7959f59ee9c899e24361ec50118dfe6f66211ea8 | 2,907 | py | Python | electrum/gui/qt/fee_slider.py | mgrychow/electrum-vault | a15b0fc5db4e83801cd7f1ba3defd56daa0b058a | [
"MIT"
] | 8 | 2020-03-18T21:55:38.000Z | 2021-03-01T12:54:47.000Z | electrum/gui/qt/fee_slider.py | mgrychow/electrum-vault | a15b0fc5db4e83801cd7f1ba3defd56daa0b058a | [
"MIT"
] | 6 | 2020-07-10T13:17:21.000Z | 2021-04-26T11:47:22.000Z | electrum/gui/qt/fee_slider.py | mgrychow/electrum-vault | a15b0fc5db4e83801cd7f1ba3defd56daa0b058a | [
"MIT"
] | 8 | 2020-05-10T11:04:15.000Z | 2021-05-06T14:51:46.000Z | import threading
from PyQt5.QtGui import QCursor
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QSlider, QToolTip
from electrum.i18n import _
class FeeSlider(QSlider):
def __init__(self, window, config, callback):
QSlider.__init__(self, Qt.Horizontal)
self.config = config
self.... | 33.802326 | 123 | 0.569659 |
7959f7e28b6acf69cd9c0a164c4e381afc32c4b7 | 10,308 | py | Python | plot_utils.py | wangkua1/Glow-PyTorch | efec083a4bb0cee971868f49b80a17276ef2cab0 | [
"MIT"
] | null | null | null | plot_utils.py | wangkua1/Glow-PyTorch | efec083a4bb0cee971868f49b80a17276ef2cab0 | [
"MIT"
] | null | null | null | plot_utils.py | wangkua1/Glow-PyTorch | efec083a4bb0cee971868f49b80a17276ef2cab0 | [
"MIT"
] | null | null | null | """Plotting utilities.
"""
import os
import csv
import ipdb
import argparse
from collections import defaultdict
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.ticker as mtick
import seaborn as sns
sns.set(style='white')
def load_epoch_log(exp_dir):
epoch_dict = defaultdict(list)
with o... | 36.424028 | 125 | 0.588669 |
7959f92b4634be2f84ceeda26f7a1088a73a7d82 | 13,192 | py | Python | numpy/array_api/tests/test_array_object.py | iam-abbas/numpy | 2fb5e969fded3cd468f2ca01d5b954c953545dd9 | [
"BSD-3-Clause"
] | 20,453 | 2015-01-02T09:00:47.000Z | 2022-03-31T23:35:56.000Z | numpy/array_api/tests/test_array_object.py | iam-abbas/numpy | 2fb5e969fded3cd468f2ca01d5b954c953545dd9 | [
"BSD-3-Clause"
] | 14,862 | 2015-01-01T01:28:34.000Z | 2022-03-31T23:48:52.000Z | numpy/array_api/tests/test_array_object.py | iam-abbas/numpy | 2fb5e969fded3cd468f2ca01d5b954c953545dd9 | [
"BSD-3-Clause"
] | 9,362 | 2015-01-01T15:49:43.000Z | 2022-03-31T21:26:51.000Z | import operator
from numpy.testing import assert_raises
import numpy as np
from .. import ones, asarray, result_type
from .._dtypes import (
_all_dtypes,
_boolean_dtypes,
_floating_dtypes,
_integer_dtypes,
_integer_or_boolean_dtypes,
_numeric_dtypes,
int8,
int16,
int32,
int64,
... | 45.805556 | 132 | 0.56087 |
7959f960e48a7fa830f76a55219700c9a6ed3991 | 1,304 | py | Python | custom/icds_reports/ucr/tests/test_beneficiary_form.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | 1 | 2020-07-14T13:00:23.000Z | 2020-07-14T13:00:23.000Z | custom/icds_reports/ucr/tests/test_beneficiary_form.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | 1 | 2021-06-02T04:45:16.000Z | 2021-06-02T04:45:16.000Z | custom/icds_reports/ucr/tests/test_beneficiary_form.py | rochakchauhan/commcare-hq | aa7ab3c2d0c51fe10f2b51b08101bb4b5a376236 | [
"BSD-3-Clause"
] | null | null | null | from mock import patch
from custom.icds_reports.ucr.tests.test_base_form_ucr import BaseFormsTest
@patch('custom.icds_reports.ucr.expressions._get_user_location_id',
lambda user_id: 'qwe56poiuytr4xcvbnmkjfghwerffdaa')
@patch('corehq.apps.locations.ucr_expressions._get_location_type_name',
lambda loc_id... | 40.75 | 74 | 0.682515 |
7959f9a2765abe135f1a785b808240745bc29024 | 5,429 | py | Python | project/apps/main_site/migrations/0005_auto__chg_field_gutterbumper_work_hrs__chg_field_gutterbumper_friend_h.py | skoczen/the-steven-manual | 20599347ed1618886290c596332738013ac45500 | [
"BSD-2-Clause"
] | null | null | null | project/apps/main_site/migrations/0005_auto__chg_field_gutterbumper_work_hrs__chg_field_gutterbumper_friend_h.py | skoczen/the-steven-manual | 20599347ed1618886290c596332738013ac45500 | [
"BSD-2-Clause"
] | 4 | 2020-02-12T01:09:50.000Z | 2021-06-10T20:34:59.000Z | project/apps/main_site/migrations/0005_auto__chg_field_gutterbumper_work_hrs__chg_field_gutterbumper_friend_h.py | skoczen/the-steven-manual | 20599347ed1618886290c596332738013ac45500 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import datetime
from south.db import db
from south.v2 import SchemaMigration
from django.db import models
class Migration(SchemaMigration):
def forwards(self, orm):
# Changing field 'GutterBumper.work_hrs'
db.alter_column('main_site_gutterbumper', 'work_hrs', self.gf('dja... | 61 | 129 | 0.60361 |
7959fa019c0eddbd5ba62ca8fb644fc2ab163018 | 3,411 | py | Python | inst/python/gpt2/interactive_conditional_examples.py | JBX028/gpt2 | 875a97b11e35a6d8b5de8023b071b0fb5a3776d2 | [
"MIT"
] | 25 | 2019-10-13T17:44:22.000Z | 2022-02-16T11:27:06.000Z | inst/python/gpt2/interactive_conditional_examples.py | JBX028/gpt2 | 875a97b11e35a6d8b5de8023b071b0fb5a3776d2 | [
"MIT"
] | 5 | 2019-10-14T08:05:31.000Z | 2021-04-13T14:17:07.000Z | inst/python/gpt2/interactive_conditional_examples.py | JBX028/gpt2 | 875a97b11e35a6d8b5de8023b071b0fb5a3776d2 | [
"MIT"
] | 6 | 2019-10-24T12:06:53.000Z | 2021-11-30T02:34:14.000Z | #!/usr/bin/env python3
import fire
import json
import os
import numpy as np
import tensorflow as tf
import model, sample, encoder
def interact_model(
model_name='124M',
seed=None,
nsamples=1,
batch_size=1,
length=None,
temperature=1,
top_k=0,
top_p=1,
models_dir='models',
):
"... | 37.076087 | 89 | 0.635004 |
7959fa096a719e75d0939df7f80f0bc80df08108 | 2,705 | py | Python | tests/unit/test_views.py | OpenPermissions/perch | 36d78994133918f3c52c187f19e50132960a0156 | [
"Apache-2.0"
] | 3 | 2016-05-03T20:07:25.000Z | 2020-12-22T07:16:11.000Z | tests/unit/test_views.py | OpenPermissions/perch | 36d78994133918f3c52c187f19e50132960a0156 | [
"Apache-2.0"
] | 17 | 2016-04-26T09:35:42.000Z | 2016-08-18T10:07:40.000Z | tests/unit/test_views.py | OpenPermissions/perch | 36d78994133918f3c52c187f19e50132960a0156 | [
"Apache-2.0"
] | 1 | 2019-05-20T01:40:56.000Z | 2019-05-20T01:40:56.000Z | # -*- coding: utf-8 -*- Copyright 2016 Open Permissions Platform Coalition
#
# 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 ap... | 30.393258 | 89 | 0.555268 |
7959fa6da59685f6c3d4230a07ec27c118d3f8eb | 805 | py | Python | libact/query_strategies/tests/utils.py | afedyukova/libact | 947f92d42690bfae758180e8809ccd5252e656df | [
"BSD-2-Clause"
] | 788 | 2015-12-17T08:34:50.000Z | 2022-03-30T15:29:29.000Z | libact/query_strategies/tests/utils.py | afedyukova/libact | 947f92d42690bfae758180e8809ccd5252e656df | [
"BSD-2-Clause"
] | 173 | 2015-12-15T17:46:39.000Z | 2021-08-22T17:50:38.000Z | libact/query_strategies/tests/utils.py | afedyukova/libact | 947f92d42690bfae758180e8809ccd5252e656df | [
"BSD-2-Clause"
] | 192 | 2015-12-31T14:37:33.000Z | 2022-03-06T07:45:24.000Z | """This module includes some functions to be reused in query strategy testing.
"""
import numpy as np
def run_qs(trn_ds, qs, truth, quota):
"""Run query strategy on specified dataset and return quering sequence.
Parameters
----------
trn_ds : Dataset object
The dataset to be run on.
qs ... | 22.361111 | 78 | 0.623602 |
7959fa6f97308f69b9b39e22aaf13a016312fbf8 | 5,004 | py | Python | backtest/backtest.py | lorne-luo/qsforex | 87976aef91a3f4dd4ef1d3de17db1b014b46e4d8 | [
"Unlicense",
"MIT"
] | null | null | null | backtest/backtest.py | lorne-luo/qsforex | 87976aef91a3f4dd4ef1d3de17db1b014b46e4d8 | [
"Unlicense",
"MIT"
] | 7 | 2020-02-11T23:56:08.000Z | 2022-02-10T07:35:07.000Z | backtest/backtest.py | lorne-luo/qsforex | 87976aef91a3f4dd4ef1d3de17db1b014b46e4d8 | [
"Unlicense",
"MIT"
] | null | null | null | import logging
from datetime import datetime
import settings
try:
import Queue as queue
except ImportError:
import queue
import time
from strategy import PortfolioAllocation, RSIStrategy
from portfolio import Portfolio
from price import HistoricCSVPriceHandler
class Backtest(object):
"... | 39.714286 | 112 | 0.571343 |
7959fa72e1ee66bafe7f471dda1c67f02ead8a62 | 3,596 | py | Python | sdk/python/pulumi_azure_native/devspaces/v20190401/outputs.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/devspaces/v20190401/outputs.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/devspaces/v20190401/outputs.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 33.296296 | 177 | 0.658788 |
7959fac14bd6b2459061e432a84c13dc75c931fa | 1,469 | py | Python | exchange_api.py | jeremyhahn/altcoin-autosell | 72afea4378cb45a5110de015a933d6a8ec24fd7b | [
"Apache-2.0"
] | 1 | 2017-09-29T03:24:29.000Z | 2017-09-29T03:24:29.000Z | exchange_api.py | jeremyhahn/altcoin-autosell | 72afea4378cb45a5110de015a933d6a8ec24fd7b | [
"Apache-2.0"
] | null | null | null | exchange_api.py | jeremyhahn/altcoin-autosell | 72afea4378cb45a5110de015a933d6a8ec24fd7b | [
"Apache-2.0"
] | null | null | null | # An exception that any methods in exchange may raise.
class ExchangeException(Exception):
def __init__(self, message):
Exception.__init__(self, message)
# An available market.
class Market(object):
source_currency_id = None
target_currency_id = None
market_id = None
trade_minimum = 0.0000... | 27.203704 | 77 | 0.646018 |
7959fb20bcb51b5a49a89fc495c310bf8a9be5ae | 224 | py | Python | Data Scientist Career Path/5. Data Manipulation with Pandas/4. Multiple Tables in Pandas/8. outer.py | myarist/Codecademy | 2ba0f104bc67ab6ef0f8fb869aa12aa02f5f1efb | [
"MIT"
] | 23 | 2021-06-06T15:35:55.000Z | 2022-03-21T06:53:42.000Z | Data Scientist Career Path/5. Data Manipulation with Pandas/4. Multiple Tables in Pandas/8. outer.py | shivaniverma1/Data-Scientist | f82939a411484311171465591455880c8e354750 | [
"MIT"
] | null | null | null | Data Scientist Career Path/5. Data Manipulation with Pandas/4. Multiple Tables in Pandas/8. outer.py | shivaniverma1/Data-Scientist | f82939a411484311171465591455880c8e354750 | [
"MIT"
] | 9 | 2021-06-08T01:32:04.000Z | 2022-03-18T15:38:09.000Z | import codecademylib
import pandas as pd
store_a = pd.read_csv('store_a.csv')
print(store_a)
store_b = pd.read_csv('store_b.csv')
print(store_b)
store_a_b_outer = store_a.merge(store_b, how='outer')
print(store_a_b_outer) | 20.363636 | 53 | 0.78125 |
7959fcbf7e78b34dfc97dee347500831c8fe486f | 262 | py | Python | venv/lib/python3.8/site-packages/nbclient/tests/conftest.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 92 | 2020-01-28T19:50:40.000Z | 2022-03-29T07:31:13.000Z | venv/lib/python3.8/site-packages/nbclient/tests/conftest.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 175 | 2020-01-27T01:09:27.000Z | 2022-03-31T15:51:32.000Z | venv/lib/python3.8/site-packages/nbclient/tests/conftest.py | johncollinsai/post-high-frequency-data | 88533b0e0afc7e7f82fee1d3ca4b68abc30aaeb4 | [
"MIT"
] | 49 | 2020-01-26T22:17:59.000Z | 2022-03-31T16:02:43.000Z | import os
# This is important for ipykernel to show the same string
# instead of randomly generated file names in outputs.
# See: https://github.com/ipython/ipykernel/blob/360685c6/ipykernel/compiler.py#L50-L55
os.environ["IPYKERNEL_CELL_NAME"] = "<IPY-INPUT>"
| 37.428571 | 87 | 0.778626 |
7959fd472fc134ded7fd78efce0e5a057b2796bd | 4,894 | py | Python | pyapprox/tests/test_indexing.py | QianWanghhu/pyapprox | 14754f987868de827a968d07486e733cde4276bf | [
"MIT"
] | null | null | null | pyapprox/tests/test_indexing.py | QianWanghhu/pyapprox | 14754f987868de827a968d07486e733cde4276bf | [
"MIT"
] | null | null | null | pyapprox/tests/test_indexing.py | QianWanghhu/pyapprox | 14754f987868de827a968d07486e733cde4276bf | [
"MIT"
] | 1 | 2020-04-01T05:26:29.000Z | 2020-04-01T05:26:29.000Z | import unittest
from pyapprox.indexing import *
from functools import partial
from scipy.special import binom
class TestIndexing(unittest.TestCase):
def test_nchoosek(self):
assert nchoosek(3, 2) == binom(3, 2)
def test_compute_hyperbolic_indices(self):
num_vars = 3
level = 3
... | 37.646154 | 82 | 0.641398 |
7959fddf87caa036fb94f58fc809cbba7ce43962 | 29,558 | py | Python | python/examples/beacon/beacon_record.py | w2naf/digital_rf | 482608dcc5608b9d9a0aacf77e75f83edbec1f0e | [
"BSD-3-Clause"
] | null | null | null | python/examples/beacon/beacon_record.py | w2naf/digital_rf | 482608dcc5608b9d9a0aacf77e75f83edbec1f0e | [
"BSD-3-Clause"
] | null | null | null | python/examples/beacon/beacon_record.py | w2naf/digital_rf | 482608dcc5608b9d9a0aacf77e75f83edbec1f0e | [
"BSD-3-Clause"
] | 1 | 2020-08-03T07:49:22.000Z | 2020-08-03T07:49:22.000Z | #!python
# ----------------------------------------------------------------------------
# Copyright (c) 2017 Massachusetts Institute of Technology (MIT)
# All rights reserved.
#
# Distributed under the terms of the BSD 3-clause license.
#
# The full license is in the LICENSE file, distributed with this software.
# ----... | 41.630986 | 252 | 0.556567 |
7959ffb948d5d5621ea47e68b3e48191384f32a4 | 24,336 | py | Python | node_modules/shaka-player/build/stats.py | CocoaZX/RNVideo | 4989b82ec17d83a3499d1a941314cb79fbdf7877 | [
"MIT"
] | null | null | null | node_modules/shaka-player/build/stats.py | CocoaZX/RNVideo | 4989b82ec17d83a3499d1a941314cb79fbdf7877 | [
"MIT"
] | 1 | 2018-11-09T17:18:20.000Z | 2018-11-09T17:18:20.000Z | build/stats.py | xrtube/shaka-player | c53786e71fd542e45dcb000613d367e522df027d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requir... | 29.750611 | 80 | 0.653723 |
795a00a96c5fbb1919f84823d53495156d05827f | 3,685 | py | Python | src/hub/dataload/sources/gnomad/gnomad_v3_parser.py | erikyao/myvariant.info | a4eaaca7ab6c069199f8942d5afae2dece908147 | [
"Apache-2.0"
] | 39 | 2017-07-01T22:34:39.000Z | 2022-03-15T22:25:59.000Z | src/hub/dataload/sources/gnomad/gnomad_v3_parser.py | erikyao/myvariant.info | a4eaaca7ab6c069199f8942d5afae2dece908147 | [
"Apache-2.0"
] | 105 | 2017-06-28T17:26:06.000Z | 2022-03-17T17:49:53.000Z | src/hub/dataload/sources/gnomad/gnomad_v3_parser.py | erikyao/myvariant.info | a4eaaca7ab6c069199f8942d5afae2dece908147 | [
"Apache-2.0"
] | 14 | 2017-06-12T18:29:36.000Z | 2021-03-18T15:51:27.000Z | import vcf
import math
from itertools import chain
from .gnomad_common_parser import PopulationName, PopulationFrequencyParser, ProfileParser, \
AbstractSiteQualityMetricsParser, GnomadVcfRecordParser
# Globals of population names
_FEMALE, _MALE = "XX", "XY"
_POPULATION_NAME_OBJ_LIST = [
PopulationName("afr", ... | 42.848837 | 124 | 0.681411 |
795a00ec1a79cfba253b4f816242eea5ccc578b8 | 807 | py | Python | test/test_instance_stop_action_response_data.py | p-fruck/python-contabo | c3abd362a0b90783118f36bec0e557bdbe5a8f2c | [
"Apache-2.0"
] | 2 | 2022-01-27T10:36:33.000Z | 2022-03-09T14:21:12.000Z | test/test_instance_stop_action_response_data.py | p-fruck/python-contabo | c3abd362a0b90783118f36bec0e557bdbe5a8f2c | [
"Apache-2.0"
] | 7 | 2022-01-13T10:44:19.000Z | 2022-02-15T23:44:44.000Z | test/test_instance_stop_action_response_data.py | p-fruck/python-contabo | c3abd362a0b90783118f36bec0e557bdbe5a8f2c | [
"Apache-2.0"
] | null | null | null | """
Contabo API
The version of the OpenAPI document: 1.0.0
Contact: support@contabo.com
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import pfruck_contabo
from pfruck_contabo.model.instance_stop_action_response_data import InstanceStopActionResponseData
class TestIn... | 22.416667 | 98 | 0.723668 |
795a036f801f18973a6d3f41a5a8b9dc0bbd9280 | 1,106 | py | Python | starlette_cbge/schema_backends/pydantic.py | gvbgduh/starlette-cbge | 4c18a1cf1cfa088d67a61b89e64217e2e4dac809 | [
"MIT"
] | 7 | 2019-09-01T21:37:23.000Z | 2020-05-12T19:36:04.000Z | starlette_cbge/schema_backends/pydantic.py | gvbgduh/starlette-cbge | 4c18a1cf1cfa088d67a61b89e64217e2e4dac809 | [
"MIT"
] | null | null | null | starlette_cbge/schema_backends/pydantic.py | gvbgduh/starlette-cbge | 4c18a1cf1cfa088d67a61b89e64217e2e4dac809 | [
"MIT"
] | null | null | null | """
Pydantic schema backend
"""
from typing import Dict, List, Any
try:
import pydantic
except ImportError:
pydantic = None # type: ignore
from starlette_cbge.interfaces import SchemaInterface, ListSchemaInterface
class PydanticSchema(SchemaInterface, pydantic.BaseModel):
@classmethod
def perform_l... | 26.97561 | 78 | 0.668174 |
795a03848dc9704f61b9d1475d4b2c42dea3dc63 | 5,949 | py | Python | tests/test_trainer.py | flavell-lab/pytorch-3dunet | 066717dcbf8d491ee3420a35a7db3384e3fc2137 | [
"MIT"
] | 1 | 2021-08-04T04:03:37.000Z | 2021-08-04T04:03:37.000Z | tests/test_trainer.py | LalithShiyam/pytorch-3dunet | f6b6c13cb0bb6194e95976b0245b76aaa9e9a496 | [
"MIT"
] | null | null | null | tests/test_trainer.py | LalithShiyam/pytorch-3dunet | f6b6c13cb0bb6194e95976b0245b76aaa9e9a496 | [
"MIT"
] | 1 | 2022-03-14T04:43:24.000Z | 2022-03-14T04:43:24.000Z | import os
from tempfile import NamedTemporaryFile
import h5py
import numpy as np
import torch
from pytorch3dunet.datasets.utils import get_train_loaders
from pytorch3dunet.train import _create_optimizer, _create_lr_scheduler
from pytorch3dunet.unet3d.losses import get_loss_criterion
from pytorch3dunet.unet3d.metrics ... | 43.423358 | 115 | 0.676752 |
795a0431dbbb9c2fbf6e306562c76be4ae711a7a | 84 | py | Python | gluoncv/auto/estimators/faster_rcnn/__init__.py | Kh4L/gluon-cv | 849411ed56632cd854850b07142087d599f97dcb | [
"Apache-2.0"
] | 5,447 | 2018-04-25T18:02:51.000Z | 2022-03-31T00:59:49.000Z | gluoncv/auto/estimators/faster_rcnn/__init__.py | Kh4L/gluon-cv | 849411ed56632cd854850b07142087d599f97dcb | [
"Apache-2.0"
] | 1,566 | 2018-04-25T21:14:04.000Z | 2022-03-31T06:42:42.000Z | gluoncv/auto/estimators/faster_rcnn/__init__.py | Kh4L/gluon-cv | 849411ed56632cd854850b07142087d599f97dcb | [
"Apache-2.0"
] | 1,345 | 2018-04-25T18:44:13.000Z | 2022-03-30T19:32:53.000Z | """R-CNN Estimator implementations"""
from .faster_rcnn import FasterRCNNEstimator
| 21 | 44 | 0.809524 |
795a057a07a36b0d623981f5810cf11f5de902d0 | 7,432 | py | Python | Plugins/UnrealEnginePython/Binaries/Win64/Lib/site-packages/tensorflow/contrib/keras/api/keras/layers/__init__.py | JustinACoder/H22-GR3-UnrealAI | 361eb9ef1147f8a2991e5f98c4118cd823184adf | [
"MIT"
] | 6 | 2022-02-04T18:12:24.000Z | 2022-03-21T23:57:12.000Z | Lib/site-packages/tensorflow/contrib/keras/api/keras/layers/__init__.py | shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings | 1fa4cd6a566c8745f455fc3d2273208f21f88ced | [
"bzip2-1.0.6"
] | null | null | null | Lib/site-packages/tensorflow/contrib/keras/api/keras/layers/__init__.py | shfkdroal/Robot-Learning-in-Mixed-Adversarial-and-Collaborative-Settings | 1fa4cd6a566c8745f455fc3d2273208f21f88ced | [
"bzip2-1.0.6"
] | 1 | 2022-02-08T03:53:23.000Z | 2022-02-08T03:53:23.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 49.879195 | 81 | 0.832347 |
795a05d6b94684f6dd1538ee422b11c97eeb5880 | 1,218 | py | Python | tests/test_sort.py | michael-kuhlmann/lazy_dataset | 8faf09b7c8a9ff8ce1eaf14285853cafcf1e2cd1 | [
"MIT"
] | 14 | 2019-03-26T15:30:44.000Z | 2021-12-19T00:56:51.000Z | tests/test_sort.py | michael-kuhlmann/lazy_dataset | 8faf09b7c8a9ff8ce1eaf14285853cafcf1e2cd1 | [
"MIT"
] | 36 | 2019-03-04T15:40:09.000Z | 2022-01-17T16:57:42.000Z | tests/test_sort.py | michael-kuhlmann/lazy_dataset | 8faf09b7c8a9ff8ce1eaf14285853cafcf1e2cd1 | [
"MIT"
] | 7 | 2019-03-05T16:25:10.000Z | 2021-05-27T16:52:23.000Z | import pytest
import lazy_dataset
def get_examples():
examples = {
'b': {'value': 2},
'c': {'value': 3},
'a': {'value': 1},
'e': {'value': 5},
'd': {'value': 4},
}
for example_id, example in examples.items():
example['example_id'] = example_id
return ex... | 22.555556 | 49 | 0.584565 |
795a06602a90a8394c0012a6ae1b2e7a027c4d7e | 4,666 | py | Python | sample_onnx.py | Kazuhito00/NanoDet-Colaboratory-Training-Sample | 38e51c5d08697395e9778ea4bd0810000e1058d7 | [
"Apache-2.0"
] | 13 | 2021-09-20T09:21:01.000Z | 2021-11-20T07:40:04.000Z | sample_onnx.py | Kazuhito00/NanoDet-Colaboratory-Training-Sample | 38e51c5d08697395e9778ea4bd0810000e1058d7 | [
"Apache-2.0"
] | null | null | null | sample_onnx.py | Kazuhito00/NanoDet-Colaboratory-Training-Sample | 38e51c5d08697395e9778ea4bd0810000e1058d7 | [
"Apache-2.0"
] | 1 | 2021-11-05T15:36:37.000Z | 2021-11-05T15:36:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import copy
import time
import argparse
import cv2
from nanodet import NanoDetONNX
def get_args():
parser = argparse.ArgumentParser()
parser.add_argument("--device", type=int, default=0)
parser.add_argument("--movie", type=str, default=None)
parser.add_... | 26.213483 | 79 | 0.479854 |
795a068182eca67ab0b70738e73a34be45ec3eeb | 15,445 | py | Python | astropy/io/fits/tests/test_fitstime.py | jbkalmbach/astropy | 88ae8c615533efd1e60de4aded204943f66f881c | [
"BSD-3-Clause"
] | null | null | null | astropy/io/fits/tests/test_fitstime.py | jbkalmbach/astropy | 88ae8c615533efd1e60de4aded204943f66f881c | [
"BSD-3-Clause"
] | 1 | 2018-05-08T13:59:56.000Z | 2018-05-08T13:59:56.000Z | astropy/io/fits/tests/test_fitstime.py | jbkalmbach/astropy | 88ae8c615533efd1e60de4aded204943f66f881c | [
"BSD-3-Clause"
] | 1 | 2019-10-09T21:30:57.000Z | 2019-10-09T21:30:57.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import os
import pytest
import numpy as np
from . import FitsTestCase
from ..fitstime import GLOBAL_TIME_INFO, time_to_fits, is_time_column_keyword
from ....coordinates import EarthLocation
from ....io import fits
from ....table import Table, QTable
fro... | 40.751979 | 87 | 0.593784 |
795a0704fd3fa35114687135a9a67c2348b1d3c6 | 6,210 | py | Python | python/services/iam/alpha/workload_identity_pool.py | trodge/declarative-resource-client-library | 2cb7718a5074776b3113cc18a7483b54022238f3 | [
"Apache-2.0"
] | null | null | null | python/services/iam/alpha/workload_identity_pool.py | trodge/declarative-resource-client-library | 2cb7718a5074776b3113cc18a7483b54022238f3 | [
"Apache-2.0"
] | null | null | null | python/services/iam/alpha/workload_identity_pool.py | trodge/declarative-resource-client-library | 2cb7718a5074776b3113cc18a7483b54022238f3 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 38.09816 | 88 | 0.700644 |
795a070d9e5c9845522e0da06ca8e772b3f1d6b1 | 2,503 | py | Python | main.py | JeyDi/GameOfLife | 963d2d084e82321eb814e07d146af9af4e6106ff | [
"MIT"
] | null | null | null | main.py | JeyDi/GameOfLife | 963d2d084e82321eb814e07d146af9af4e6106ff | [
"MIT"
] | null | null | null | main.py | JeyDi/GameOfLife | 963d2d084e82321eb814e07d146af9af4e6106ff | [
"MIT"
] | null | null | null | """
Game of Life: Object plain python implementation
Author: Andrea Guzzo (JeyDi)
"""
import time
import typer
import logging
from config import configure_logging, ROWS, COLUMNS, MAX_PROB
from src.board import GameBoard
from src.rules import game_status
def main(
user: int = typer.Option(1, min=0, max=... | 28.443182 | 86 | 0.610467 |
795a071d6d4d757db0d24007cdfe6916ce62eb59 | 2,290 | py | Python | 2019/24_rockem_sockem_robots/my_solution.py | erik-kristofer-anderson/codewars | fda780f40d1a2d8c5210cfd6ccf81148444bc9e8 | [
"MIT"
] | null | null | null | 2019/24_rockem_sockem_robots/my_solution.py | erik-kristofer-anderson/codewars | fda780f40d1a2d8c5210cfd6ccf81148444bc9e8 | [
"MIT"
] | 1 | 2019-07-27T15:42:25.000Z | 2019-07-27T15:42:25.000Z | 2019/24_rockem_sockem_robots/my_solution.py | erik-kristofer-anderson/Codewars | fda780f40d1a2d8c5210cfd6ccf81148444bc9e8 | [
"MIT"
] | null | null | null | def fight(robot_1, robot_2, tactics):
class My_robot:
""" represents a robot
this class is mutable
attributes:
name: string
health: integer
speed: integer
tactics: list of strings
"""
def __init__(self, name = "", health = 0, speed = 0, tacti... | 34.69697 | 105 | 0.524891 |
795a071f5cbb9b2dbf4bc78a8dac457b3360ccd2 | 534 | py | Python | packages/python/plotly/plotly/validators/scattergl/line/_dash.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/scattergl/line/_dash.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/scattergl/line/_dash.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class DashValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(self, plotly_name="dash", parent_name="scattergl.line", **kwargs):
super(DashValidator, self).__init__(
plotly_name=plotly_name,
parent_name=parent_name,
... | 35.6 | 88 | 0.61236 |
795a078d14b1208ce1970cbea0cf52eae570c0c3 | 20,672 | py | Python | sympy/combinatorics/partitions.py | ricopicone/sympy | de27c97214d540247a35c8215c7920e9a46b54ed | [
"BSD-3-Clause"
] | 2 | 2019-02-05T19:20:24.000Z | 2019-04-23T13:24:38.000Z | sympy/combinatorics/partitions.py | ricopicone/sympy | de27c97214d540247a35c8215c7920e9a46b54ed | [
"BSD-3-Clause"
] | null | null | null | sympy/combinatorics/partitions.py | ricopicone/sympy | de27c97214d540247a35c8215c7920e9a46b54ed | [
"BSD-3-Clause"
] | 1 | 2019-10-15T10:55:42.000Z | 2019-10-15T10:55:42.000Z | from __future__ import print_function, division
from sympy.core import Basic, Dict, sympify
from sympy.core.compatibility import as_int, default_sort_key, range
from sympy.core.sympify import _sympify
from sympy.functions.combinatorial.numbers import bell
from sympy.matrices import zeros
from sympy.sets.sets import Fi... | 28.317808 | 80 | 0.50803 |
795a0791f07218a1f2a8f9f4e81e8b3eef66c6a0 | 7,771 | py | Python | Resnet_models/res50.py | a5372935/Oct_resnet18 | 9e835634151398bb6704c251807d28b21fde5b86 | [
"MIT"
] | 3 | 2019-06-17T17:58:48.000Z | 2020-12-15T06:58:54.000Z | Resnet_models/res50.py | a5372935/Oct_resnet18 | 9e835634151398bb6704c251807d28b21fde5b86 | [
"MIT"
] | null | null | null | Resnet_models/res50.py | a5372935/Oct_resnet18 | 9e835634151398bb6704c251807d28b21fde5b86 | [
"MIT"
] | 2 | 2020-12-16T08:57:36.000Z | 2020-12-26T06:48:58.000Z | import numpy as np
import warnings
from tensorflow.keras.layers import Input, Conv2D, BatchNormalization, Activation, ZeroPadding2D, AveragePooling2D, MaxPooling2D, GlobalAveragePooling2D, GlobalMaxPooling2D
from tensorflow.keras.layers import Dense
from tensorflow.keras.layers import add, Flatten
from tensorflo... | 42.933702 | 173 | 0.564663 |
795a08ae443d0d4645330d2b9f093b9460256edc | 326 | py | Python | 4-1/WIndow Programing/20180427/Code10-20.py | define16/Class | 8b0771a348b2bcb19ba338ebff94326828a293ea | [
"Apache-2.0"
] | null | null | null | 4-1/WIndow Programing/20180427/Code10-20.py | define16/Class | 8b0771a348b2bcb19ba338ebff94326828a293ea | [
"Apache-2.0"
] | null | null | null | 4-1/WIndow Programing/20180427/Code10-20.py | define16/Class | 8b0771a348b2bcb19ba338ebff94326828a293ea | [
"Apache-2.0"
] | null | null | null | from tkinter import *
from tkinter.filedialog import *
## 함수 정의 부분 ##
window = Tk()
window.geometry("400x100")
label1 = Label(window, text = "선택된 파일 이름 ")
label1.pack()
filename = askopenfilename(parent = window, filetypes = (("GIF 파일", "*.gif"), ("모든 파일", "*.*")))
label1.configure(text=str(filename))
window.mainl... | 20.375 | 96 | 0.665644 |
795a08c25acbe9cba9a4efa0da6185bbac064358 | 3,670 | py | Python | huaweicloud-sdk-iotda/huaweicloudsdkiotda/v5/model/delete_rule_request.py | NQLoong/huaweicloud-sdk-python-v3 | 677944a0b722147c6e105c53df9110724d64152a | [
"Apache-2.0"
] | 1 | 2021-11-03T07:54:50.000Z | 2021-11-03T07:54:50.000Z | huaweicloud-sdk-iotda/huaweicloudsdkiotda/v5/model/delete_rule_request.py | mawenbo-huawei/huaweicloud-sdk-python-v3 | 677944a0b722147c6e105c53df9110724d64152a | [
"Apache-2.0"
] | null | null | null | huaweicloud-sdk-iotda/huaweicloudsdkiotda/v5/model/delete_rule_request.py | mawenbo-huawei/huaweicloud-sdk-python-v3 | 677944a0b722147c6e105c53df9110724d64152a | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
import pprint
import re
import six
class DeleteRuleRequest:
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value ... | 26.788321 | 80 | 0.564033 |
795a08fd3142bd46b6e574daf65dd9e9c2b5e9c3 | 6,504 | py | Python | lib/model/feature_extractors/resnet_feature_extractor_duo.py | jennyabr/faster-rcnn.pytorch | 90639b26e9bcdbca0b3da140448913b5c41182e0 | [
"MIT"
] | null | null | null | lib/model/feature_extractors/resnet_feature_extractor_duo.py | jennyabr/faster-rcnn.pytorch | 90639b26e9bcdbca0b3da140448913b5c41182e0 | [
"MIT"
] | null | null | null | lib/model/feature_extractors/resnet_feature_extractor_duo.py | jennyabr/faster-rcnn.pytorch | 90639b26e9bcdbca0b3da140448913b5c41182e0 | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
import torch.nn as nn
from torchvision.models import resnet101
from torchvision.models.resnet import resnet50, resnet152
from model.feature_extractors.feature_extractor_duo import FeatureExtractorDuo
from model.utils.net_utils import global_averag... | 43.945946 | 116 | 0.619311 |
795a09130cc2807bd1c505859b8fdc9838652d11 | 2,030 | py | Python | tools/obfuscator.py | anima-libera/ports | 782ea3291eb3f66a043a3bc8e3cf2d35ccd62815 | [
"Unlicense"
] | 4 | 2020-05-14T22:27:08.000Z | 2021-07-23T18:56:04.000Z | tools/obfuscator.py | anima-libera/ports | 782ea3291eb3f66a043a3bc8e3cf2d35ccd62815 | [
"Unlicense"
] | null | null | null | tools/obfuscator.py | anima-libera/ports | 782ea3291eb3f66a043a3bc8e3cf2d35ccd62815 | [
"Unlicense"
] | 1 | 2021-05-14T09:33:07.000Z | 2021-05-14T09:33:07.000Z |
""" TODO
Please note that this is clearly unoptimized because who cares
"""
import re
from random import choice
SPECIAL_NAMES = ["o", "o0", "o1", "of", "os", "sa", "ia", "ir"]
NAME_CHARS = "".join([chr(n) for n in range(ord("a"), ord("z")+1)]+[str(i) for i in range(10)])
generated_names = {}
def _generate_name(n):
... | 26.710526 | 95 | 0.639409 |
795a093d72b9183329c74f285a3cd5db8e7d475a | 2,563 | py | Python | pydemoji/emoji.py | DJStompZone/DiscordEmoji-Wrapper | e3c017c7e7ff888202a068f3e8804d594ecf6e39 | [
"MIT"
] | null | null | null | pydemoji/emoji.py | DJStompZone/DiscordEmoji-Wrapper | e3c017c7e7ff888202a068f3e8804d594ecf6e39 | [
"MIT"
] | null | null | null | pydemoji/emoji.py | DJStompZone/DiscordEmoji-Wrapper | e3c017c7e7ff888202a068f3e8804d594ecf6e39 | [
"MIT"
] | null | null | null | from .errors import InvalidQuery, InvalidOption
import aiohttp
async def fetch(by:str, query, endpoint=None, case_sensitive=None):
"""
Fetch an emoji
Parameters
----------
by : str, fetch an emoji by (option)
query : query that you want to search for
endpoint : optional, if ... | 38.253731 | 137 | 0.531409 |
795a0a2236e63fa8b6ff21374c687334f97927c4 | 34,468 | py | Python | mesonbuild/linkers.py | mine260309/meson | e19a49b8957cd06d6f121812b7b00ef60a57fc7c | [
"Apache-2.0"
] | null | null | null | mesonbuild/linkers.py | mine260309/meson | e19a49b8957cd06d6f121812b7b00ef60a57fc7c | [
"Apache-2.0"
] | null | null | null | mesonbuild/linkers.py | mine260309/meson | e19a49b8957cd06d6f121812b7b00ef60a57fc7c | [
"Apache-2.0"
] | null | null | null | # Copyright 2012-2017 The Meson development team
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agree... | 36.016719 | 106 | 0.63279 |
795a0aa4772cf37c8a90b3b18c38faf49e9dd316 | 10,879 | py | Python | src/modlunky2/ui/widgets.py | mriswithe/modlunky2 | 20de5c7d226df7134cf87a9b9351fc9c28a89d6a | [
"Apache-2.0"
] | null | null | null | src/modlunky2/ui/widgets.py | mriswithe/modlunky2 | 20de5c7d226df7134cf87a9b9351fc9c28a89d6a | [
"Apache-2.0"
] | null | null | null | src/modlunky2/ui/widgets.py | mriswithe/modlunky2 | 20de5c7d226df7134cf87a9b9351fc9c28a89d6a | [
"Apache-2.0"
] | null | null | null | import logging
import os
import queue
import tkinter as tk
from tkinter import ttk
from tkinter.scrolledtext import ScrolledText
logger = logging.getLogger("modlunky2")
class QueueHandler(logging.Handler):
def __init__(self, log_queue):
super().__init__()
self.log_queue = log_queue
def emit(... | 32.966667 | 92 | 0.594448 |
795a0c13ac99a253fae579a867a400298ab95559 | 3,731 | py | Python | ooobuild/lo/uno/uik.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/uno/uik.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/uno/uik.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
#
# Copyright 2022 :Barry-Thomas-Paul: Moss
#
# Licensed under the Apache License, Version 2.0 (the "License")
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http: // www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 26.274648 | 196 | 0.579201 |
795a0d7430e0837732b2c119c916065add941106 | 857 | py | Python | django_easy_scraper/switch.py | dearopen/django-easy-scraper | eeddf2c6da220ac7c19ed0ea0b5173000c9e4227 | [
"BSD-3-Clause"
] | 2 | 2020-11-17T08:48:51.000Z | 2022-01-28T11:53:24.000Z | django_easy_scraper/switch.py | dearopen/django-easy-scraper | eeddf2c6da220ac7c19ed0ea0b5173000c9e4227 | [
"BSD-3-Clause"
] | 4 | 2020-11-22T10:17:43.000Z | 2020-11-26T09:59:30.000Z | django_easy_scraper/switch.py | dearopen/django-easy-scraper | eeddf2c6da220ac7c19ed0ea0b5173000c9e4227 | [
"BSD-3-Clause"
] | 1 | 2020-11-17T08:48:54.000Z | 2020-11-17T08:48:54.000Z | import re
def get_domain_name(url):
domain_name_pat = re.compile(r'.*\://(?:www.)?([^\/]+)')
extract = domain_name_pat.findall(url)
if len(extract) == 0:
raise ValueError("Invalid domain name !! We couldn't parse domain name from your given url")
else:
return extract[0]
class BaseS... | 25.969697 | 123 | 0.654609 |
795a0d8d3dd7b5490374e7bc40cf3632df6f5f1f | 2,168 | py | Python | mnist/restore.py | tensorflow123/python_tutorial | 0226237010127594b7e8a8b8fc3ed9fbd1c7bab2 | [
"Apache-2.0"
] | 3 | 2019-02-25T04:28:04.000Z | 2019-11-23T07:12:28.000Z | mnist/restore.py | tensorflow123/python_tutorial | 0226237010127594b7e8a8b8fc3ed9fbd1c7bab2 | [
"Apache-2.0"
] | null | null | null | mnist/restore.py | tensorflow123/python_tutorial | 0226237010127594b7e8a8b8fc3ed9fbd1c7bab2 | [
"Apache-2.0"
] | 1 | 2020-04-09T02:35:03.000Z | 2020-04-09T02:35:03.000Z | import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
mnist = input_data.read_data_sets("MNIST_data", one_hot=True)
saved_model_dir='./model'
index=1
signature_key = 'test_signature'
input_key_x = 'input_x'
input_key_y = 'input_y'
input_key_keep_prob = 'keep_prob'
output_key_prediction = ... | 39.418182 | 89 | 0.734779 |
795a0dfea26ea15aaec8a3f832c20383413aa497 | 20,178 | py | Python | src/genie/libs/parser/asa/show_interface.py | kacann/genieparser | 76e19003199c393c59a33546726de3ff5486da80 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/asa/show_interface.py | kacann/genieparser | 76e19003199c393c59a33546726de3ff5486da80 | [
"Apache-2.0"
] | null | null | null | src/genie/libs/parser/asa/show_interface.py | kacann/genieparser | 76e19003199c393c59a33546726de3ff5486da80 | [
"Apache-2.0"
] | 1 | 2021-07-07T18:07:56.000Z | 2021-07-07T18:07:56.000Z | ''' show_interface.py
Parser for the following show commands:
* show interface summary
* show interface ip brief
* show interface details
'''
# Python
import re
# Metaparser
from genie.metaparser import MetaParser
from genie.metaparser.util.schemaengine import Schema, Any, Optional
# ===================... | 39.642436 | 96 | 0.483051 |
795a0e120da150f4ca49bb637967a8deaa1819e0 | 106 | py | Python | Taekwon/Python/implementation/knight.py | sonnysorry/codingtest | 478e0168e3209eb97b6b16910027bf12ccc3ccd0 | [
"MIT"
] | 2 | 2021-09-27T19:10:36.000Z | 2021-11-09T05:40:39.000Z | Taekwon/Python/implementation/knight.py | sonnysorry/codingtest | 478e0168e3209eb97b6b16910027bf12ccc3ccd0 | [
"MIT"
] | 1 | 2021-11-15T14:56:54.000Z | 2021-11-15T14:56:54.000Z | Taekwon/Python/implementation/knight.py | sonnysorry/codingtest | 478e0168e3209eb97b6b16910027bf12ccc3ccd0 | [
"MIT"
] | null | null | null | a = input()
dx = [-1, -2, -2, -1, 1, 2, 2, 1]
dy = [2, 1, -1, -2, -2, -1, 1, 2]
for i in range(8):
| 13.25 | 33 | 0.358491 |
795a0e8d2ab744563d04372b83cc232012451cc3 | 15,578 | py | Python | sdk/python/pulumi_azure_native/network/v20160901/get_application_gateway.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/network/v20160901/get_application_gateway.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/network/v20160901/get_application_gateway.py | pulumi-bot/pulumi-azure-native | f7b9490b5211544318e455e5cceafe47b628e12c | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
from... | 44.130312 | 528 | 0.694248 |
795a0f396bd73004af5bcb891e25299664a1c46f | 44,490 | py | Python | scripts/vk_validation_stats.py | shannon-lunarg/Vulkan-ValidationLayers | ff80a937c8a505abbdddb95d8ffaa446820c8391 | [
"Apache-2.0"
] | 1 | 2019-09-22T22:45:07.000Z | 2019-09-22T22:45:07.000Z | scripts/vk_validation_stats.py | shannon-lunarg/Vulkan-ValidationLayers | ff80a937c8a505abbdddb95d8ffaa446820c8391 | [
"Apache-2.0"
] | null | null | null | scripts/vk_validation_stats.py | shannon-lunarg/Vulkan-ValidationLayers | ff80a937c8a505abbdddb95d8ffaa446820c8391 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2015-2019 The Khronos Group Inc.
# Copyright (c) 2015-2019 Valve Corporation
# Copyright (c) 2015-2019 LunarG, Inc.
# Copyright (c) 2015-2019 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the L... | 56.174242 | 247 | 0.614767 |
795a0f604f8c99e979c022f3d2f6ff099d5dbaf7 | 2,583 | py | Python | tests/ut/python/parallel/test_linear.py | ZephyrChenzf/mindspore | 8f191847cf71e12715ced96bc3575914f980127a | [
"Apache-2.0"
] | 7 | 2020-05-24T03:19:26.000Z | 2020-05-24T03:20:00.000Z | tests/ut/python/parallel/test_linear.py | dilingsong/mindspore | 4276050f2494cfbf8682560a1647576f859991e8 | [
"Apache-2.0"
] | null | null | null | tests/ut/python/parallel/test_linear.py | dilingsong/mindspore | 4276050f2494cfbf8682560a1647576f859991e8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 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 agreed to... | 34.905405 | 80 | 0.67712 |
795a0feb9b33f5a507d835c5e65d281436a11c0f | 5,669 | py | Python | onepiece/site/c18comic.py | fenglui/TencentComicBook | 5ea70a0d1fcb6cd29492ba7b1148f7b55ecc97c9 | [
"MIT"
] | null | null | null | onepiece/site/c18comic.py | fenglui/TencentComicBook | 5ea70a0d1fcb6cd29492ba7b1148f7b55ecc97c9 | [
"MIT"
] | null | null | null | onepiece/site/c18comic.py | fenglui/TencentComicBook | 5ea70a0d1fcb6cd29492ba7b1148f7b55ecc97c9 | [
"MIT"
] | null | null | null | import re
import logging
from urllib.parse import urljoin
from ..crawlerbase import CrawlerBase
logger = logging.getLogger(__name__)
class C18comicCrawler(CrawlerBase):
SITE = "18comic"
SITE_INDEX = 'https://18comic.org/'
SOURCE_NAME = "禁漫天堂"
LOGIN_URL = SITE_INDEX
R18 = True
DEFAULT_COMIC... | 38.828767 | 102 | 0.540131 |
795a129d9b75b89eee617ee93d830fd83b867eaf | 317 | py | Python | Data Scientist Career Path/10. Natural Language Processing/5. Word Embeding/3. what.py | myarist/Codecademy | 2ba0f104bc67ab6ef0f8fb869aa12aa02f5f1efb | [
"MIT"
] | 23 | 2021-06-06T15:35:55.000Z | 2022-03-21T06:53:42.000Z | Data Scientist Career Path/10. Natural Language Processing/5. Word Embeding/3. what.py | shivaniverma1/Data-Scientist | f82939a411484311171465591455880c8e354750 | [
"MIT"
] | null | null | null | Data Scientist Career Path/10. Natural Language Processing/5. Word Embeding/3. what.py | shivaniverma1/Data-Scientist | f82939a411484311171465591455880c8e354750 | [
"MIT"
] | 9 | 2021-06-08T01:32:04.000Z | 2022-03-18T15:38:09.000Z | import spacy
# load word embedding model
nlp = spacy.load('en')
# define word embedding vectors
happy_vec = nlp('happy').vector
print(happy_vec)
sad_vec = nlp('sad').vector
print(sad_vec)
angry_vec = nlp('angry').vector
print(angry_vec)
# find vector length here
vector_length = len(happy_vec)
print(vector_length) | 19.8125 | 31 | 0.760252 |
795a12c607c6315af44fde7ad7a75a7b5336a496 | 15,034 | bzl | Python | source/extensions/extensions_build_config.bzl | ryanmcnamara/envoy | 29b30911dbfb3f9760efeb28238ceac36e1a1a23 | [
"Apache-2.0"
] | null | null | null | source/extensions/extensions_build_config.bzl | ryanmcnamara/envoy | 29b30911dbfb3f9760efeb28238ceac36e1a1a23 | [
"Apache-2.0"
] | null | null | null | source/extensions/extensions_build_config.bzl | ryanmcnamara/envoy | 29b30911dbfb3f9760efeb28238ceac36e1a1a23 | [
"Apache-2.0"
] | null | null | null | # See bazel/README.md for details on how this system works.
EXTENSIONS = {
#
# Access loggers
#
"envoy.access_loggers.file": "//source/extensions/access_loggers/file:config",
"envoy.access_loggers.http_grpc": "//source/extensions/access_loggers/grpc:http_con... | 58.726563 | 132 | 0.636025 |
795a13bbca4157f8898bd1e47ccf63d6fe8e9727 | 772 | py | Python | Phase-2/Json/Day-38.py | emetowinner/python-challenges | 520da69da0f2632deb1e81136d2b62d40555a4aa | [
"MIT"
] | 3 | 2020-05-21T20:19:40.000Z | 2022-02-27T08:20:10.000Z | Phase-2/Json/tasks.py | emetowinner/python-challenges | 520da69da0f2632deb1e81136d2b62d40555a4aa | [
"MIT"
] | null | null | null | Phase-2/Json/tasks.py | emetowinner/python-challenges | 520da69da0f2632deb1e81136d2b62d40555a4aa | [
"MIT"
] | 4 | 2020-05-12T16:41:52.000Z | 2020-05-21T20:17:22.000Z | 1. Write a Python program to convert JSON data to Python object.
2. Write a Python program to convert Python object to JSON data.
3. Write a Python program to convert Python objects into JSON strings. Print all the values.
4. Write a Python program to convert Python dictionary object (sort by key) to JSON data. P... | 29.692308 | 135 | 0.772021 |
795a13fda03ad4d84d2b7ec872218f7207ec5de5 | 478 | py | Python | egs/zeroth/s5/data/local/lm/buildLM/_scripts_/checkPronun.py | SYHPARK/kaldi | 71af1b0d3c3885936cb4b2a92048a9fa2371bd32 | [
"Apache-2.0"
] | 330 | 2018-02-03T02:12:05.000Z | 2022-03-31T14:18:18.000Z | egs/zeroth/s5/data/local/lm/buildLM/_scripts_/checkPronun.py | SYHPARK/kaldi | 71af1b0d3c3885936cb4b2a92048a9fa2371bd32 | [
"Apache-2.0"
] | 17 | 2018-02-12T06:28:30.000Z | 2022-03-16T08:36:54.000Z | egs/zeroth/s5/data/local/lm/buildLM/_scripts_/checkPronun.py | SYHPARK/kaldi | 71af1b0d3c3885936cb4b2a92048a9fa2371bd32 | [
"Apache-2.0"
] | 125 | 2018-02-03T00:51:25.000Z | 2022-03-19T05:06:04.000Z | #!/usr/bin/env python3
import fileinput
import sys
import re
def main():
nLine=0
for line in fileinput.input():
if nLine%1000 == 0:
print(' %d line processed' %(nLine), end='\r', file=sys.stderr)
sys.stderr.flush()
nLine+=1
tstr = line.strip()
... | 20.782609 | 76 | 0.529289 |
795a14749f265aa825635d79de27cc0396ab1b5e | 10,380 | py | Python | sdk/yapily/models/pre_authorisation_request.py | yapily/yapily-sdk-python | c09930c44e8795e270e2846a2c0fb783200df76a | [
"MIT"
] | 11 | 2018-05-18T14:38:49.000Z | 2021-09-08T13:24:37.000Z | sdk/yapily/models/pre_authorisation_request.py | yapily/yapily-sdk-python | c09930c44e8795e270e2846a2c0fb783200df76a | [
"MIT"
] | 5 | 2019-10-23T15:06:33.000Z | 2021-08-03T21:18:50.000Z | sdk/yapily/models/pre_authorisation_request.py | yapily/yapily-sdk-python | c09930c44e8795e270e2846a2c0fb783200df76a | [
"MIT"
] | 8 | 2019-04-27T00:02:18.000Z | 2021-11-21T02:54:12.000Z | # coding: utf-8
"""
Yapily API
To access endpoints that require authentication, use your application key and secret created in the Dashboard (https://dashboard.yapily.com) # noqa: E501
The version of the OpenAPI document: 1.154.0
Generated by: https://openapi-generator.tech
"""
import pprint
impor... | 33.162939 | 219 | 0.641137 |
795a158f721c5e990d32fad5dc6cdb09cc729de2 | 18,658 | py | Python | casaconfig/jplephem_request.py | casangi/casaconfig | 1f7fa1f4b149eb5e6b5ac3206a27b9a99307eed2 | [
"Apache-2.0"
] | null | null | null | casaconfig/jplephem_request.py | casangi/casaconfig | 1f7fa1f4b149eb5e6b5ac3206a27b9a99307eed2 | [
"Apache-2.0"
] | null | null | null | casaconfig/jplephem_request.py | casangi/casaconfig | 1f7fa1f4b149eb5e6b5ac3206a27b9a99307eed2 | [
"Apache-2.0"
] | null | null | null | #
# Utilities for having JPL-Horizons ephemerides mailed to you.
# See JPL_ephem_reader.py for doing something with them.
#
# Examples:
#
# import recipes.ephemerides.request as jplreq
#
# # I recommend you not ask for more than ~18 months of anything with
# # date_incr ~ 1h, because the result would be split into mult... | 39.28 | 114 | 0.5231 |
795a165a5b8005cc04d67fcaecc27e13d510a1c7 | 2,387 | py | Python | context/opencensus-context/tests/test_runtime_context.py | jtbeach/opencensus-python | 2e396b063a238b3e823b6efc136b9a0405dd5565 | [
"Apache-2.0"
] | 1 | 2019-09-21T13:52:19.000Z | 2019-09-21T13:52:19.000Z | context/opencensus-context/tests/test_runtime_context.py | dineshkrishnareddy/opencensus-python | e5e752ceab3371ec4b78cec23a717168e2ed9372 | [
"Apache-2.0"
] | null | null | null | context/opencensus-context/tests/test_runtime_context.py | dineshkrishnareddy/opencensus-python | e5e752ceab3371ec4b78cec23a717168e2ed9372 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019, OpenCensus 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 to in w... | 33.152778 | 78 | 0.697528 |
795a17808709cacf8cf15d6849b43ce3533a95fa | 3,026 | py | Python | Src/StdLib/Lib/site-packages/pythonwin/pywin/Demos/ocx/ocxserialtest.py | cwensley/ironpython2 | f854444e1e08afc8850cb7c1a739a7dd2d10d32a | [
"Apache-2.0"
] | 1,078 | 2016-07-19T02:48:30.000Z | 2022-03-30T21:22:34.000Z | Src/StdLib/Lib/site-packages/pythonwin/pywin/Demos/ocx/ocxserialtest.py | cwensley/ironpython2 | f854444e1e08afc8850cb7c1a739a7dd2d10d32a | [
"Apache-2.0"
] | 576 | 2017-05-21T12:36:48.000Z | 2022-03-30T13:47:03.000Z | Src/StdLib/Lib/site-packages/pythonwin/pywin/Demos/ocx/ocxserialtest.py | cwensley/ironpython2 | f854444e1e08afc8850cb7c1a739a7dd2d10d32a | [
"Apache-2.0"
] | 269 | 2017-05-21T04:44:47.000Z | 2022-03-31T16:18:13.000Z | # ocxserialtest.py
#
# Sample that uses the mscomm OCX to talk to a serial
# device.
# Very simple - queries a modem for ATI responses
import win32ui, win32uiole
import win32con
from pywin.mfc import dialog, activex
from win32com.client import gencache
import pythoncom
SERIAL_SETTINGS = '19200,n,8,1'
SERIAL_PORT = ... | 29.666667 | 156 | 0.692003 |
795a18cd9d9916678d5bffaaf081f614f2a7f26e | 1,990 | py | Python | sdk/media/azure-mgmt-media/azure/mgmt/media/operations/__init__.py | JianpingChen/azure-sdk-for-python | 3072fc8c0366287fbaea1b02493a50259c3248a2 | [
"MIT"
] | 3 | 2020-06-23T02:25:27.000Z | 2021-09-07T18:48:11.000Z | sdk/media/azure-mgmt-media/azure/mgmt/media/operations/__init__.py | JianpingChen/azure-sdk-for-python | 3072fc8c0366287fbaea1b02493a50259c3248a2 | [
"MIT"
] | 510 | 2019-07-17T16:11:19.000Z | 2021-08-02T08:38:32.000Z | sdk/media/azure-mgmt-media/azure/mgmt/media/operations/__init__.py | JianpingChen/azure-sdk-for-python | 3072fc8c0366287fbaea1b02493a50259c3248a2 | [
"MIT"
] | 5 | 2019-09-04T12:51:37.000Z | 2020-09-16T07:28:40.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 45.227273 | 94 | 0.779899 |
795a1a9a0fe929f68be1a5b83bbb027909722c55 | 3,017 | py | Python | fixture/contact.py | kate-moroz/python_work | 9d52c7d3fdfe6c1a4956a66ed74cb47420437276 | [
"Apache-2.0"
] | null | null | null | fixture/contact.py | kate-moroz/python_work | 9d52c7d3fdfe6c1a4956a66ed74cb47420437276 | [
"Apache-2.0"
] | null | null | null | fixture/contact.py | kate-moroz/python_work | 9d52c7d3fdfe6c1a4956a66ed74cb47420437276 | [
"Apache-2.0"
] | null | null | null | class ContactHelper:
def __init__(self, app):
self.app = app
def create(self, contact):
wd = self.app.wd
# init contact creation
if not wd.current_url.endswith("/edit.php"):
wd.find_element_by_link_text("add new").click()
# fill contact form
wd.find_... | 37.7125 | 108 | 0.649652 |
795a1ab64cb59c04ac1064a932fc7e303ccac1c4 | 271 | py | Python | pyAitu/models/update/form_submitted.py | waihislam/pyAitu | 6e7c3bfa7454d6ae91ba998017cf772bb6a25770 | [
"Apache-2.0"
] | 11 | 2019-09-26T05:09:20.000Z | 2021-05-20T10:45:28.000Z | pyAitu/models/update/form_submitted.py | waihislam/pyAitu | 6e7c3bfa7454d6ae91ba998017cf772bb6a25770 | [
"Apache-2.0"
] | 8 | 2019-10-08T13:41:09.000Z | 2020-06-25T11:35:56.000Z | pyAitu/models/update/form_submitted.py | waihislam/pyAitu | 6e7c3bfa7454d6ae91ba998017cf772bb6a25770 | [
"Apache-2.0"
] | 4 | 2020-02-18T09:02:37.000Z | 2020-11-25T06:11:05.000Z | from .form_update import FormUpdate
class FormSubmitted(FormUpdate):
def __init__(self, json_object):
super().__init__(json_object)
self.metadata = json_object.get("metadata")
self.additional_metadata = json_object.get("additionalMetadata")
| 30.111111 | 72 | 0.730627 |
795a1ab72288c1f4d34500768098a1bd58fb6522 | 41,089 | py | Python | src/sage/functions/hypergeometric.py | LaisRast/sage | 5fb2a6ea44400e469caee82748cf863ca0c5f724 | [
"BSL-1.0"
] | null | null | null | src/sage/functions/hypergeometric.py | LaisRast/sage | 5fb2a6ea44400e469caee82748cf863ca0c5f724 | [
"BSL-1.0"
] | null | null | null | src/sage/functions/hypergeometric.py | LaisRast/sage | 5fb2a6ea44400e469caee82748cf863ca0c5f724 | [
"BSL-1.0"
] | null | null | null | r"""
Hypergeometric Functions
This module implements manipulation of infinite hypergeometric series
represented in standard parametric form (as `\,_pF_q` functions).
AUTHORS:
- Fredrik Johansson (2010): initial version
- Eviatar Bach (2013): major changes
EXAMPLES:
Examples from :trac:`9908`::
sage: maxima('... | 36.265666 | 97 | 0.467935 |
795a1aed2de71edd17ccb1cec491f3a1c9f49428 | 8,555 | py | Python | models/res_lstm_l.py | wangkenpu/rsrgan | 0efafbdb4008becd3a81650ca0237c660e976d4a | [
"MIT"
] | 66 | 2018-07-06T07:07:56.000Z | 2021-07-30T07:59:54.000Z | models/res_lstm_l.py | wangkenpu/rsrgan | 0efafbdb4008becd3a81650ca0237c660e976d4a | [
"MIT"
] | 7 | 2018-09-01T03:03:14.000Z | 2019-11-04T10:51:04.000Z | models/res_lstm_l.py | wangkenpu/rsrgan | 0efafbdb4008becd3a81650ca0237c660e976d4a | [
"MIT"
] | 15 | 2018-07-03T13:47:26.000Z | 2021-10-17T04:26:13.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2017 Ke Wang
"""Build the LSTM neural networks.
This module provides an example of definiting compute graph with tensorflow.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
import ... | 42.775 | 80 | 0.477382 |
795a1b5bf0319d3307bed2fda7f44e3ac7eef547 | 563 | py | Python | webapp/home/migrations/0013_alter_notice_notice_class.py | usegalaxy-au/galaxy-media-site | 3ec13e0f42591d2543768f252be037784933e271 | [
"MIT"
] | null | null | null | webapp/home/migrations/0013_alter_notice_notice_class.py | usegalaxy-au/galaxy-media-site | 3ec13e0f42591d2543768f252be037784933e271 | [
"MIT"
] | 36 | 2021-11-14T21:34:22.000Z | 2022-03-24T22:46:42.000Z | webapp/home/migrations/0013_alter_notice_notice_class.py | neoformit/galaxy-content-site | a6eeaf1893c12dd4d7d714fb823f43509a0a3893 | [
"MIT"
] | null | null | null | # Generated by Django 3.2 on 2022-02-25 01:36
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('home', '0012_alter_notice_notice_class'),
]
operations = [
migrations.AlterField(
model_name='notice',
name='notice_cl... | 29.631579 | 219 | 0.612789 |
795a1dbe0431c9dc89274fa4cbb529410c97c566 | 432 | py | Python | feed/china_market.py | datar/finer | 204a806dd8c81759dedddc141eaea0a59bfe573f | [
"Apache-2.0"
] | null | null | null | feed/china_market.py | datar/finer | 204a806dd8c81759dedddc141eaea0a59bfe573f | [
"Apache-2.0"
] | null | null | null | feed/china_market.py | datar/finer | 204a806dd8c81759dedddc141eaea0a59bfe573f | [
"Apache-2.0"
] | null | null | null | company_people_page_url_pattern = 'http://www.cfachina.org/cfainfo/organbaseinfoOneServlet?organid=+%s+¤tPage=1&pageSize=2000&selectType=personinfo&all=undefined'
ALL_PEOPLE_PAGE_URL = 'http://www.cfachina.org/cfainfo/personinfoServlet?organid=¤tPage=1&pageSize=100000&selectType=check&cardid='
trunk_of_all_... | 108 | 168 | 0.826389 |
795a1de0d19a1f57d9957fb928e914d363ef48c2 | 39,461 | py | Python | pybea/client.py | areed1192/python-bureau-economic-analysis-api-client | 04c5572b924428822e9d4d8e1b2b7d1f7785ec11 | [
"MIT"
] | 10 | 2020-07-12T15:46:33.000Z | 2022-03-31T18:27:38.000Z | pybea/client.py | areed1192/python-bureau-economic-analysis-api-client | 04c5572b924428822e9d4d8e1b2b7d1f7785ec11 | [
"MIT"
] | 1 | 2020-12-23T09:46:58.000Z | 2021-03-13T00:18:33.000Z | pybea/client.py | areed1192/python-bureau-economic-analysis-api-client | 04c5572b924428822e9d4d8e1b2b7d1f7785ec11 | [
"MIT"
] | 5 | 2020-08-13T23:22:06.000Z | 2022-01-16T14:59:29.000Z | from typing import List
from typing import Union
import requests
class BureauEconomicAnalysisClient:
"""
### Overview
----
Represents the main BEA Client that
is used to access the different services.
"""
def __init__(self, api_key: str) -> None:
"""Initalize the Bureau of Econo... | 33.188394 | 97 | 0.559743 |
795a1e01d5803c9202620dd51f48f074c82a7daf | 1,746 | py | Python | tests/sentry/api/endpoints/team_projects.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/api/endpoints/team_projects.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | tests/sentry/api/endpoints/team_projects.py | pierredup/sentry | 0145e4b3bc0e775bf3482fe65f5e1a689d0dbb80 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import
import six
from django.core.urlresolvers import reverse
from sentry.models import Project
from sentry.testutils import APITestCase
from sentry.utils.compat import map
class TeamProjectIndexTest(APITestCase):
def test_simple(self):
self.login_as(user=self.user)
... | 36.375 | 89 | 0.644903 |
795a1e317671d4f15c79d312aca70476e184af55 | 6,521 | py | Python | imbalanced_ensemble/datasets/_imbalance.py | ZhiningLiu1998/imbalanced-ensemble | 26670c8a6b7bab26ae1e18cba3174a9d9038a680 | [
"MIT"
] | 87 | 2021-05-19T08:29:26.000Z | 2022-03-30T23:59:05.000Z | imbalanced_ensemble/datasets/_imbalance.py | ZhiningLiu1998/imbalanced-ensemble | 26670c8a6b7bab26ae1e18cba3174a9d9038a680 | [
"MIT"
] | 8 | 2021-05-28T10:27:28.000Z | 2022-01-11T11:21:03.000Z | imbalanced_ensemble/datasets/_imbalance.py | ZhiningLiu1998/imbalanced-ensemble | 26670c8a6b7bab26ae1e18cba3174a9d9038a680 | [
"MIT"
] | 18 | 2021-05-19T08:30:29.000Z | 2022-03-28T08:30:10.000Z | """Transform a dataset into an imbalanced dataset."""
# Adapted from imbalanced-learn
# Authors: Dayvid Oliveira
# Guillaume Lemaitre <g.lemaitre58@gmail.com>
# Christos Aridas
# Zhining Liu <zhining.liu@outlook.com>
# License: MIT
from collections import Counter
from sklearn.datasets impor... | 37.051136 | 166 | 0.67551 |
795a1e5e2730d29f9742cfabda267184835b8664 | 1,952 | py | Python | static/extension/dynamic_scope/dynamic_permission.py | EOEPCA/um-login-persistence | 290636438390e4ab6f6b6dbfe9c6b3e1e9135110 | [
"Apache-2.0"
] | null | null | null | static/extension/dynamic_scope/dynamic_permission.py | EOEPCA/um-login-persistence | 290636438390e4ab6f6b6dbfe9c6b3e1e9135110 | [
"Apache-2.0"
] | 1 | 2020-11-05T08:03:26.000Z | 2020-11-05T08:03:26.000Z | static/extension/dynamic_scope/dynamic_permission.py | EOEPCA/um-login-persistence | 290636438390e4ab6f6b6dbfe9c6b3e1e9135110 | [
"Apache-2.0"
] | null | null | null | # oxAuth is available under the MIT License (2008). See http://opensource.org/licenses/MIT for full text.
# Copyright (c) 2016, Gluu
#
# Author: Yuriy Movchan
#
from org.gluu.model.custom.script.type.scope import DynamicScopeType
from org.gluu.service.cdi.util import CdiUtil
from org.gluu.oxauth.service import... | 36.148148 | 106 | 0.712602 |
795a1e87056d27d1831e8829525b3ee13f41c897 | 6,846 | py | Python | compass/core/_scrapers/hierarchy.py | MrNoScript/compass-interface-core | 8c945ef36f7bee396bd5a744404eaa88d280a845 | [
"MIT"
] | null | null | null | compass/core/_scrapers/hierarchy.py | MrNoScript/compass-interface-core | 8c945ef36f7bee396bd5a744404eaa88d280a845 | [
"MIT"
] | null | null | null | compass/core/_scrapers/hierarchy.py | MrNoScript/compass-interface-core | 8c945ef36f7bee396bd5a744404eaa88d280a845 | [
"MIT"
] | null | null | null | from __future__ import annotations
import json
import typing
from typing import Literal, TYPE_CHECKING, Union
from lxml import html
import pydantic
from compass.core.interface_base import InterfaceBase
from compass.core.schemas import hierarchy as schema
from compass.core.settings import Settings
from compass.core.u... | 37.005405 | 131 | 0.624598 |
795a1eec5a7a00d957fb52c4ecc7f11a24b65963 | 104,142 | py | Python | aim/tests/unit/agent/test_agent.py | gaurav-dalvi/aci-integration-module | 5d31f65f4fca3e0322d6003e7736ca14aa7ec72d | [
"Apache-2.0"
] | null | null | null | aim/tests/unit/agent/test_agent.py | gaurav-dalvi/aci-integration-module | 5d31f65f4fca3e0322d6003e7736ca14aa7ec72d | [
"Apache-2.0"
] | null | null | null | aim/tests/unit/agent/test_agent.py | gaurav-dalvi/aci-integration-module | 5d31f65f4fca3e0322d6003e7736ca14aa7ec72d | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2016 Cisco Systems
# 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 require... | 46.491964 | 79 | 0.618012 |
795a1f8cfd1f470f4f707aeaa37dadf130bfa930 | 1,195 | py | Python | game/save.py | martendo7/sunny-day | 9d61294dc1e475140eb44f99ff06636d2e4e9868 | [
"MIT"
] | null | null | null | game/save.py | martendo7/sunny-day | 9d61294dc1e475140eb44f99ff06636d2e4e9868 | [
"MIT"
] | null | null | null | game/save.py | martendo7/sunny-day | 9d61294dc1e475140eb44f99ff06636d2e4e9868 | [
"MIT"
] | null | null | null | import json
class SaveDataError(Exception):
pass
class SaveReader:
def __init__(self, game):
self.game = game
def load(self, filename):
self.game.savefile = filename
with open(self.game.savefile, "r") as file:
try:
data = json.load(file)
... | 33.194444 | 83 | 0.569874 |
795a1ffaa7a8432ec2a59c33d2a0a9067904e130 | 1,073 | py | Python | net_models/models/services/cisco_ios/IosLineModels.py | ashkalikava/net_models | 1a99f6dc743665b47c4c4731bbca2a52176ded3f | [
"MIT"
] | null | null | null | net_models/models/services/cisco_ios/IosLineModels.py | ashkalikava/net_models | 1a99f6dc743665b47c4c4731bbca2a52176ded3f | [
"MIT"
] | null | null | null | net_models/models/services/cisco_ios/IosLineModels.py | ashkalikava/net_models | 1a99f6dc743665b47c4c4731bbca2a52176ded3f | [
"MIT"
] | null | null | null | from net_models.models import BaseNetModel
from net_models.fields import GENERIC_OBJECT_NAME, VRF_NAME
from net_models.models.services.cisco_ios.AaaMethods import IosLineAaaConfig
from pydantic.types import conlist, conint
from pydantic.typing import Optional, Literal, List
class IosLineTransport(BaseNetModel):
... | 32.515152 | 76 | 0.741845 |
795a2218adf4ebe15852e2fe65d9e3084e87acf0 | 386 | py | Python | doc/build/html/add_font.py | yhilpisch/rpi | 3379078699554c25806b7b4ed716b45e16c42f16 | [
"BSD-2-Clause"
] | 3 | 2015-12-19T17:28:01.000Z | 2018-05-27T01:40:42.000Z | doc/build/html/add_font.py | yhilpisch/rpi | 3379078699554c25806b7b4ed716b45e16c42f16 | [
"BSD-2-Clause"
] | null | null | null | doc/build/html/add_font.py | yhilpisch/rpi | 3379078699554c25806b7b4ed716b45e16c42f16 | [
"BSD-2-Clause"
] | 8 | 2015-05-05T04:51:25.000Z | 2022-03-14T04:50:18.000Z | import os
to_add = "<link href='http://fonts.googleapis.com/css?family=PT+Sans' "
to_add += "rel='stylesheet' type='text/css'>\n"
files = os.listdir('.')
for f in files:
if f.endswith('.html') and f[0] in ['0', 'i']:
r = open(f, 'r').readlines()
n = open(f, 'w')
n.writelines(r[:12])
... | 24.125 | 71 | 0.53886 |
795a23b7dbdd931cc8227eb9a11e1c9c849cf4cc | 11,218 | py | Python | Configs/Non_lab.py | yochaiedlitz/T2DM_UKB_predictions | 1e6b22e3d51d515eb065d7d5f46408f86f33d0b8 | [
"MIT"
] | 1 | 2022-01-17T13:13:02.000Z | 2022-01-17T13:13:02.000Z | Configs/Non_lab.py | yochaiedlitz/T2DM_UKB_predictions | 1e6b22e3d51d515eb065d7d5f46408f86f33d0b8 | [
"MIT"
] | null | null | null | Configs/Non_lab.py | yochaiedlitz/T2DM_UKB_predictions | 1e6b22e3d51d515eb065d7d5f46408f86f33d0b8 | [
"MIT"
] | null | null | null | import collections # Used for ordered dictionary
from PRS import PRS_sumstats as PRS_sumstats
from UKBB_Functions import PROBA_FOLDER
import sys
Top_Gen_Dict = PRS_sumstats.Get_Top_Gen_Dict()
Hyp_Param_Dict_A = collections.OrderedDict()
Hyp_Param_Dict_R = collections.OrderedDict()
# TRAIN_PATH = '/net/mraid08/export/j... | 60.637838 | 301 | 0.708593 |
795a242ae30acda268a0bd877c743610408f8752 | 468 | py | Python | modeling/ibn.py | sunggukcha/deeplabs | 739be4accdc27fbb912c131aaafc9fcf10e04929 | [
"MIT"
] | 34 | 2019-08-07T20:44:15.000Z | 2021-12-05T10:23:47.000Z | modeling/ibn.py | toluwajosh/deeplabs | 59e292e6777d1e53ed7716b7afd3c3489d57f61a | [
"MIT"
] | 9 | 2020-05-08T07:55:12.000Z | 2020-12-23T08:36:08.000Z | modeling/ibn.py | toluwajosh/deeplabs | 59e292e6777d1e53ed7716b7afd3c3489d57f61a | [
"MIT"
] | 6 | 2020-03-09T15:42:51.000Z | 2021-09-12T19:33:08.000Z | import torch
import torch.nn as nn
import math
class IBN(nn.Module):
def __init__(self, planes, bn):
super(IBN, self).__init__()
half1 = int(planes/2)
self.half = half1
half2 = planes - half1
self.IN = nn.InstanceNorm2d(half1, affine=True)
self.BN = bn(half2)
def forward(self, x):
split = torch.spl... | 24.631579 | 50 | 0.666667 |
795a24629fe51b30acec07a3e96efc920f1bc25e | 3,500 | py | Python | test_pyramids/test_code_quality.py | leomauro/pyramids | 4f7a8e97e13a5ee0b037dc528e5ba72f31ac36e5 | [
"MIT"
] | 9 | 2015-09-04T22:33:40.000Z | 2019-04-11T14:05:11.000Z | test_pyramids/test_code_quality.py | leomauro/pyramids | 4f7a8e97e13a5ee0b037dc528e5ba72f31ac36e5 | [
"MIT"
] | 2 | 2015-09-04T22:31:44.000Z | 2017-07-29T04:11:53.000Z | test_pyramids/test_code_quality.py | hosford42/pyramids | 4f7a8e97e13a5ee0b037dc528e5ba72f31ac36e5 | [
"MIT"
] | 3 | 2015-10-14T12:41:26.000Z | 2022-01-08T19:43:47.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""Tests to ensure code quality standards are met."""
import os
from pylama.main import check_path, parse_options
ERROR_TYPE_MAP = {
'W': 'Warning',
'D': 'Documentation',
'E': 'Code Checker Error',
'C': 'Coding Style',
'R': 'Code Complexity',
}
PYL... | 32.71028 | 96 | 0.584 |
795a24d820f2eec96f7ea8cfd388c5e93eede514 | 6,437 | py | Python | motif/experiments.py | NThande/matched-motif | 3d5338a5db8c8ae69d42c3141d81a8812cd82bd7 | [
"MIT"
] | 1 | 2019-11-06T00:53:58.000Z | 2019-11-06T00:53:58.000Z | motif/experiments.py | NThande/matched-motif | 3d5338a5db8c8ae69d42c3141d81a8812cd82bd7 | [
"MIT"
] | null | null | null | motif/experiments.py | NThande/matched-motif | 3d5338a5db8c8ae69d42c3141d81a8812cd82bd7 | [
"MIT"
] | null | null | null | import config as cfg
import explots
import exputils
import fileutils
import metrics
import motifutils as motif
import visutils as vis
import visualizations
# Runs the segmentation experiment on an audio file with the given name in bin/test.
def segmentation_experiment(name, in_dir, out_dir, write_motifs=False, show_p... | 43.201342 | 108 | 0.64471 |
795a252846308c81e66ff72aaec807afdccfea55 | 1,363 | py | Python | pipeline/transform/cta_train_stops.py | scarletstudio/transithealth | 408e6c1a063e46edb95040c26db93c2ff93c6d33 | [
"MIT"
] | 2 | 2021-05-18T15:34:19.000Z | 2021-10-07T01:29:31.000Z | pipeline/transform/cta_train_stops.py | scarletstudio/transithealth | 408e6c1a063e46edb95040c26db93c2ff93c6d33 | [
"MIT"
] | 89 | 2021-05-21T18:31:04.000Z | 2021-08-16T01:13:02.000Z | pipeline/transform/cta_train_stops.py | scarletstudio/transithealth | 408e6c1a063e46edb95040c26db93c2ff93c6d33 | [
"MIT"
] | 1 | 2021-06-15T10:28:26.000Z | 2021-06-15T10:28:26.000Z | import argparse
import json
import pandas as pd
from shapely.geometry import shape, Polygon, MultiPolygon, Point
from timeit import default_timer as timer
cli = argparse.ArgumentParser(description="Transform CTA L Train stop data.")
cli.add_argument("--input_file", help="File path to read CTA L Train stop data from."... | 26.72549 | 89 | 0.707263 |
795a254a05cce8c9ee1afc46cf7137d206793840 | 594 | py | Python | setup.py | antoinedelia/bullet | 8950d0459169a544e89821d17dbacde44e5380ae | [
"MIT"
] | null | null | null | setup.py | antoinedelia/bullet | 8950d0459169a544e89821d17dbacde44e5380ae | [
"MIT"
] | null | null | null | setup.py | antoinedelia/bullet | 8950d0459169a544e89821d17dbacde44e5380ae | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
setup(
name='bullet',
version='2.0.0',
description='Beautiful Python prompts made simple.',
long_description="Extensive support for Python list prompts \
formatting and colors",
url='https://github.com/Mckinsey666/bullets',
... | 31.263158 | 68 | 0.574074 |
795a2608aad868816a898556a84e0bfa9ba060cc | 17,939 | py | Python | pandaserver/dataservice/EventPicker.py | eschanet/QMonit | 83f3323fa465b3ae41f9a49f28332bdb5e748685 | [
"MIT"
] | 1 | 2020-12-05T16:59:13.000Z | 2020-12-05T16:59:13.000Z | pandaserver/dataservice/EventPicker.py | eschanet/QMonit | 83f3323fa465b3ae41f9a49f28332bdb5e748685 | [
"MIT"
] | null | null | null | pandaserver/dataservice/EventPicker.py | eschanet/QMonit | 83f3323fa465b3ae41f9a49f28332bdb5e748685 | [
"MIT"
] | null | null | null | '''
add data to dataset
'''
import os
import re
import sys
import fcntl
import datetime
import traceback
import pandaserver.brokerage.broker
from pandaserver.dataservice import DynDataDistributer
from pandaserver.dataservice.MailUtils import MailUtils
from pandaserver.dataservice.Notifier import Notifier
from pandase... | 45.530457 | 126 | 0.480685 |
795a2645e89df84281d6a81a1b4f1287d2923ad6 | 5,373 | py | Python | test/unicode/unicode1.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 1,482 | 2015-10-16T21:59:32.000Z | 2022-03-30T11:44:40.000Z | test/unicode/unicode1.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 226 | 2015-10-15T15:53:44.000Z | 2022-03-25T03:08:27.000Z | test/unicode/unicode1.py | kylebarron/MagicPython | da6fa0793e2c85d3bf7709ff1d4f65ccf468db11 | [
"MIT"
] | 129 | 2015-10-20T02:41:49.000Z | 2022-03-22T01:44:36.000Z | class Üa(Êa):
'Œ\nŃ'
@æaœ
def ŌÏŒĘ(self, Ú=1):
print('превед 你好')
return Ù
ÜBER = 1
你好 = lambda: 你好
def 你好(): pass
class : meta.class.python, source.python, storage.type.class.python
: meta.class.python, source.python
Üa : entity.name.type.clas... | 69.779221 | 187 | 0.685837 |
795a26bea992464ba89e24952a70f9220a74c645 | 956 | py | Python | tests/vasp/test_potential.py | pmrv/pyiron | 3631053231761510a2fd4b1416a93adee44fd6f7 | [
"BSD-3-Clause"
] | null | null | null | tests/vasp/test_potential.py | pmrv/pyiron | 3631053231761510a2fd4b1416a93adee44fd6f7 | [
"BSD-3-Clause"
] | null | null | null | tests/vasp/test_potential.py | pmrv/pyiron | 3631053231761510a2fd4b1416a93adee44fd6f7 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
# Copyright (c) Max-Planck-Institut für Eisenforschung GmbH - Computational Materials Design (CM) Department
# Distributed under the terms of "New BSD License", see the LICENSE file.
import unittest
import os
from pyiron.vasp.potential import get_enmax_among_species
class TestPotential(unittest.TestC... | 32.965517 | 108 | 0.735356 |
795a2722be2891e65032c147b8778d9f9e44f7ef | 16,402 | py | Python | cit-api/pipeline/views/proximity.py | bcgov/CIT | b9db4f169b52e9a6293b3ee1e61935888074215a | [
"Apache-2.0"
] | 10 | 2020-11-12T15:13:40.000Z | 2022-03-05T22:33:08.000Z | cit-api/pipeline/views/proximity.py | bcgov/CIT | b9db4f169b52e9a6293b3ee1e61935888074215a | [
"Apache-2.0"
] | 28 | 2020-07-17T16:33:55.000Z | 2022-03-21T16:24:25.000Z | cit-api/pipeline/views/proximity.py | bcgov/CIT | b9db4f169b52e9a6293b3ee1e61935888074215a | [
"Apache-2.0"
] | 5 | 2020-11-02T23:39:53.000Z | 2022-03-01T19:09:45.000Z | from django.http import HttpResponse
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework import status
from django.core import serializers
from django.db.models import Sum, F
from django.contrib.gis.geos import Point
from django.contrib.gis.db.models.functions impor... | 52.909677 | 299 | 0.637178 |
795a27aa20a16731329d0958742511da3dc6e246 | 8,003 | py | Python | yolo/test_yolo.py | simenvg/cloud_detection_framework | 97db2eb2cf3da91aa64ae90bf404adbd4744578b | [
"MIT"
] | 4 | 2020-06-26T06:47:26.000Z | 2022-01-10T07:46:54.000Z | yolo/test_yolo.py | simenvg/cloud-detection-framework | 97db2eb2cf3da91aa64ae90bf404adbd4744578b | [
"MIT"
] | null | null | null | yolo/test_yolo.py | simenvg/cloud-detection-framework | 97db2eb2cf3da91aa64ae90bf404adbd4744578b | [
"MIT"
] | 4 | 2020-05-13T08:23:48.000Z | 2021-04-19T07:58:47.000Z | # Instead just add darknet.py to somewhere in your python path
# OK actually that might not be a great idea, idk, work in progress
# Use at your own risk. or don't, i don't care
import xml.etree.ElementTree as ET
import os
import cv2
import sqlite3 as db
import argparse
import matplotlib as mpl
if os.environ.get('DISP... | 37.050926 | 121 | 0.628389 |
795a289541a01141e09be2ecd60e65071bb19c65 | 54,334 | py | Python | numpy/linalg/tests/test_linalg.py | gogulnie/numpy | 485b099cd4b82d65dc38cb2b28c7119f003c76c4 | [
"BSD-3-Clause"
] | null | null | null | numpy/linalg/tests/test_linalg.py | gogulnie/numpy | 485b099cd4b82d65dc38cb2b28c7119f003c76c4 | [
"BSD-3-Clause"
] | null | null | null | numpy/linalg/tests/test_linalg.py | gogulnie/numpy | 485b099cd4b82d65dc38cb2b28c7119f003c76c4 | [
"BSD-3-Clause"
] | null | null | null | """ Test functions for linalg module
"""
from __future__ import division, absolute_import, print_function
import os
import sys
import itertools
import traceback
import warnings
import numpy as np
from numpy import array, single, double, csingle, cdouble, dot, identity
from numpy import multiply, atleast_2d, inf, asa... | 35.628852 | 96 | 0.548717 |
795a294ee03f4d64f43df5c35cc5d04b965cc964 | 941 | py | Python | launch/ros2_player_bridge.launch.py | betab0t/ros2_player_bridge | 99da0581565006e6abf295ba003ba6c02d46d88b | [
"Apache-2.0"
] | null | null | null | launch/ros2_player_bridge.launch.py | betab0t/ros2_player_bridge | 99da0581565006e6abf295ba003ba6c02d46d88b | [
"Apache-2.0"
] | null | null | null | launch/ros2_player_bridge.launch.py | betab0t/ros2_player_bridge | 99da0581565006e6abf295ba003ba6c02d46d88b | [
"Apache-2.0"
] | null | null | null | import launch_ros.actions
import launch.actions
from launch import LaunchDescription
from launch.substitutions import LaunchConfiguration
def generate_launch_description():
return LaunchDescription([
launch.actions.DeclareLaunchArgument('player_ip',
default_va... | 44.809524 | 85 | 0.550478 |
795a2951d27cfbf4908b5ee3d20ce443fde2175e | 2,695 | py | Python | jdcloud_sdk/services/vm/apis/ImageTasksRequest.py | jdcloud-apigateway/jdcloud-sdk-python | 0886769bcf1fb92128a065ff0f4695be099571cc | [
"Apache-2.0"
] | 14 | 2018-04-19T09:53:56.000Z | 2022-01-27T06:05:48.000Z | jdcloud_sdk/services/vm/apis/ImageTasksRequest.py | jdcloud-apigateway/jdcloud-sdk-python | 0886769bcf1fb92128a065ff0f4695be099571cc | [
"Apache-2.0"
] | 15 | 2018-09-11T05:39:54.000Z | 2021-07-02T12:38:02.000Z | jdcloud_sdk/services/vm/apis/ImageTasksRequest.py | jdcloud-apigateway/jdcloud-sdk-python | 0886769bcf1fb92128a065ff0f4695be099571cc | [
"Apache-2.0"
] | 33 | 2018-04-20T05:29:16.000Z | 2022-02-17T09:10:05.000Z | # coding=utf8
# Copyright 2018 JDCLOUD.COM
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 26.421569 | 82 | 0.642301 |
795a2967892cc90ba2124981fef6e9ca094ab3e1 | 13,965 | py | Python | ENV/lib/python3.6/site-packages/webob/multidict.py | captain-c00keys/pyramid-stocks | 0acf3363a6a7ee61cd41b855f43c9d6f9582ae6a | [
"MIT"
] | 2 | 2018-10-02T15:47:45.000Z | 2018-10-02T15:50:55.000Z | lib/webob/multidict.py | uetopia/metagame | 4f48418e5a8e691698ff347370ef1447021b9a4f | [
"Apache-2.0"
] | 1 | 2018-08-30T21:35:33.000Z | 2018-08-30T21:35:33.000Z | lib/webob/multidict.py | uetopia/metagame | 4f48418e5a8e691698ff347370ef1447021b9a4f | [
"Apache-2.0"
] | 1 | 2018-08-20T16:55:05.000Z | 2018-08-20T16:55:05.000Z | # (c) 2005 Ian Bicking and contributors; written for Paste
# (http://pythonpaste.org) Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license.php
"""
Gives a multi-value dictionary object (MultiDict) plus several wrappers
"""
from collections import MutableMapping
import binascii
import warnin... | 27.490157 | 84 | 0.529252 |
795a2a5f079bb372769da74a40fa122aa25f7ffd | 289 | py | Python | src/5/5054.py | youngdaLee/Baekjoon | 7d858d557dbbde6603fe4e8af2891c2b0e1940c0 | [
"MIT"
] | 11 | 2020-09-20T15:17:11.000Z | 2022-03-17T12:43:33.000Z | src/5/5054.py | youngdaLee/Baekjoon | 7d858d557dbbde6603fe4e8af2891c2b0e1940c0 | [
"MIT"
] | 3 | 2021-10-30T07:51:36.000Z | 2022-03-09T05:19:23.000Z | src/5/5054.py | youngdaLee/Baekjoon | 7d858d557dbbde6603fe4e8af2891c2b0e1940c0 | [
"MIT"
] | 13 | 2021-01-21T03:19:08.000Z | 2022-03-28T10:44:58.000Z | """
5054. 주차의 신
작성자: xCrypt0r
언어: Python 3
사용 메모리: 29,380 KB
소요 시간: 76 ms
해결 날짜: 2020년 9월 16일
"""
def main():
for _ in range(int(input())):
input()
pos = sorted(map(int, input().split()))
print((pos[-1] - pos[0]) * 2)
if __name__ == '__main__':
main()
| 13.761905 | 47 | 0.532872 |
795a2aee5bbb8ddc20920d889d1442a10aa91852 | 5,522 | py | Python | examples/reID/caffe/modelscripts/generate_vgg16.py | yuqj1990/deepano_train | c7247801ccea4c3a5c0be9c9091fc91876dbf279 | [
"Unlicense"
] | 21 | 2019-11-28T06:11:17.000Z | 2020-06-15T00:45:46.000Z | examples/reID/caffe/modelscripts/generate_vgg16.py | yuqj1990/deepano_train | c7247801ccea4c3a5c0be9c9091fc91876dbf279 | [
"Unlicense"
] | 12 | 2019-11-20T01:38:28.000Z | 2020-06-30T06:29:40.000Z | examples/reID/caffe/modelscripts/generate_vgg16.py | yuqj1990/deepano_face_train | c7247801ccea4c3a5c0be9c9091fc91876dbf279 | [
"Unlicense"
] | 10 | 2019-11-26T00:50:06.000Z | 2020-06-20T05:43:45.000Z | import _init_paths
import os
import os.path as osp
import caffe
from caffe import layers as L, params as P
from caffe import tools
from caffe.model_libs import *
def vgg16_body(net, data, post, is_train):
# the net itself
#param = [dict(lr_mult=0.5,decay_mult=1), dict(lr_mult=1,decay_mult=0)]
param = None
nuni... | 43.825397 | 116 | 0.660811 |
795a2c0c8e419372650770606437e1a445aa6041 | 21 | py | Python | chemisova-helloworld.py | masha719/lab6 | 4928d682ee10184c163730341a8f168714f8d6a5 | [
"MIT"
] | null | null | null | chemisova-helloworld.py | masha719/lab6 | 4928d682ee10184c163730341a8f168714f8d6a5 | [
"MIT"
] | null | null | null | chemisova-helloworld.py | masha719/lab6 | 4928d682ee10184c163730341a8f168714f8d6a5 | [
"MIT"
] | null | null | null | print('Helllo world') | 21 | 21 | 0.761905 |
795a2cea537a2cb1d91c2a5dfad32ef4687b818b | 9,895 | py | Python | open_spiel/python/algorithms/psro_variations/nash_solver/general_nash_solver.py | wyz2368/open_spiel_egta | 6bcb3d4d863e7d89283029dd860412c3ef1731dd | [
"Apache-2.0"
] | null | null | null | open_spiel/python/algorithms/psro_variations/nash_solver/general_nash_solver.py | wyz2368/open_spiel_egta | 6bcb3d4d863e7d89283029dd860412c3ef1731dd | [
"Apache-2.0"
] | null | null | null | open_spiel/python/algorithms/psro_variations/nash_solver/general_nash_solver.py | wyz2368/open_spiel_egta | 6bcb3d4d863e7d89283029dd860412c3ef1731dd | [
"Apache-2.0"
] | 1 | 2020-12-25T03:02:31.000Z | 2020-12-25T03:02:31.000Z | # Copyright 2019 DeepMind Technologies Ltd. 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 appl... | 37.059925 | 115 | 0.637393 |
795a2cee0ed333971b4806b53c079eb59e4f77e0 | 689 | py | Python | dql_course/exercises/random_policy.py | ecly/ai_experiments | 94b5b063345761cd1668132610ddc59749b84a47 | [
"MIT"
] | null | null | null | dql_course/exercises/random_policy.py | ecly/ai_experiments | 94b5b063345761cd1668132610ddc59749b84a47 | [
"MIT"
] | null | null | null | dql_course/exercises/random_policy.py | ecly/ai_experiments | 94b5b063345761cd1668132610ddc59749b84a47 | [
"MIT"
] | null | null | null | import gym
import numpy as np
import matplotlib.pyplot as plt
def main():
env = gym.make("FrozenLake-v1")
env.reset()
running_win_perc = []
scores = []
for i in range(1000):
score = 0
while True:
action = env.action_space.sample()
_observation, reward, done, ... | 22.225806 | 64 | 0.561684 |
795a2dee9e98c86c435ec0756a648e904229572f | 1,409 | py | Python | blog/middleware.py | sunguotao/DjangoMysqlBlog | 136a21007475a302a62341ac6b9ab3fbb1bfafb9 | [
"MIT"
] | null | null | null | blog/middleware.py | sunguotao/DjangoMysqlBlog | 136a21007475a302a62341ac6b9ab3fbb1bfafb9 | [
"MIT"
] | 11 | 2020-02-11T23:51:47.000Z | 2022-03-11T23:17:21.000Z | blog/middleware.py | sunguotao/DjangoMysqlBlog | 136a21007475a302a62341ac6b9ab3fbb1bfafb9 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""
@version: ??
@author: systemsgt.cn
@license: MIT Licence
@contact: 18653076096@163.com
@site: http://www.systemsgt.cn
@software: PyCharm
@file: middleware.py
@time: 2017/1/19 上午12:36
"""
import time
from ipware.ip import get_real_ip
from DjangoBlog.utils import cache
cla... | 27.096154 | 104 | 0.634493 |
795a2e632f18ca66cac6fd171d99e3881f86321f | 10,453 | py | Python | samples_to_sprite.py | skratchdot/media-tools | bca0c683fb637aeefda1c49454a118f809047d97 | [
"MIT"
] | null | null | null | samples_to_sprite.py | skratchdot/media-tools | bca0c683fb637aeefda1c49454a118f809047d97 | [
"MIT"
] | null | null | null | samples_to_sprite.py | skratchdot/media-tools | bca0c683fb637aeefda1c49454a118f809047d97 | [
"MIT"
] | 1 | 2021-05-25T08:11:10.000Z | 2021-05-25T08:11:10.000Z | # -*- coding: utf-8 -*-
import argparse
import math
import numpy as np
import os
from PIL import Image
from pprint import pprint
import sys
from lib.audio_mixer import *
from lib.audio_utils import *
from lib.clip import *
from lib.collection_utils import *
from lib.color_utils import *
from lib.composition_utils imp... | 40.992157 | 173 | 0.671195 |
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