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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e972b70d6970fd1d6b55a67f98bddf5fb7dd6960 | 7,884 | py | Python | tools/driver/p4c_src/main.py | DTharun/p4lang | d83d078f95ae2eaf054955fb645fa4d4a7e54847 | [
"Apache-2.0"
] | 27 | 2018-06-30T13:01:40.000Z | 2022-01-28T09:07:21.000Z | tools/driver/p4c_src/main.py | DTharun/p4lang | d83d078f95ae2eaf054955fb645fa4d4a7e54847 | [
"Apache-2.0"
] | 8 | 2018-06-01T11:19:02.000Z | 2018-06-09T13:09:15.000Z | tools/driver/p4c_src/main.py | DTharun/p4lang | d83d078f95ae2eaf054955fb645fa4d4a7e54847 | [
"Apache-2.0"
] | 6 | 2019-02-24T11:20:22.000Z | 2021-05-25T17:21:07.000Z | # Copyright 2013-present Barefoot Networks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 42.616216 | 94 | 0.57864 |
8ad3ab9f5e46a8c67bba479a1bf16e0eaf194126 | 8,458 | py | Python | tests/core/test_secrets.py | ShepardZhao/rancher | a747ac408ca34fb0bf465276f07557ec43bf9c89 | [
"Apache-2.0"
] | 1 | 2019-04-17T08:00:59.000Z | 2019-04-17T08:00:59.000Z | tests/core/test_secrets.py | ShepardZhao/rancher | a747ac408ca34fb0bf465276f07557ec43bf9c89 | [
"Apache-2.0"
] | 1 | 2021-02-23T19:12:08.000Z | 2021-02-23T19:12:08.000Z | tests/core/test_secrets.py | ShepardZhao/rancher | a747ac408ca34fb0bf465276f07557ec43bf9c89 | [
"Apache-2.0"
] | 2 | 2019-11-14T15:46:01.000Z | 2020-05-06T15:31:37.000Z | from .common import random_str
CERT = """-----BEGIN CERTIFICATE-----
MIIDEDCCAfgCCQC+HwE8rpMN7jANBgkqhkiG9w0BAQUFADBKMQswCQYDVQQGEwJV
UzEQMA4GA1UECBMHQXJpem9uYTEVMBMGA1UEChMMUmFuY2hlciBMYWJzMRIwEAYD
VQQDEwlsb2NhbGhvc3QwHhcNMTYwNjMwMDExMzMyWhcNMjYwNjI4MDExMzMyWjBK
MQswCQYDVQQGEwJVUzEQMA4GA1UECBMHQXJpem9uYTEVMBMGA1UEChM... | 33.039063 | 68 | 0.731497 |
8f037fb6cbc1907357d41dbef7cebde6c3f2bba5 | 594 | py | Python | modoboa/admin/migrations/0011_domain_transport.py | Makakken-Crew/modoboa | faac20fe36e26bd7c01edc2adb12312dda4cfaa2 | [
"ISC"
] | 2 | 2021-04-20T19:40:09.000Z | 2021-04-20T20:23:57.000Z | modoboa/admin/migrations/0011_domain_transport.py | vavilon/modoboa | 9fcd133bc883a94cbf66c5bc9687787caadc8ca2 | [
"0BSD"
] | 19 | 2021-05-05T03:31:52.000Z | 2021-12-11T09:58:52.000Z | modoboa/admin/migrations/0011_domain_transport.py | vavilon/modoboa | 9fcd133bc883a94cbf66c5bc9687787caadc8ca2 | [
"0BSD"
] | 1 | 2020-01-10T11:43:00.000Z | 2020-01-10T11:43:00.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.7 on 2017-12-20 14:17
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('transport', '0001_initial'),
('admin', '0010_auto_2... | 25.826087 | 122 | 0.648148 |
61d077aa9699b010c0112c50d2bb5210c65b0e8b | 556 | py | Python | firehose/functions/firehose/main.py | pei0804/serverless-sample | 6ac55469aed7cf0d6e9f57109f0852122a951906 | [
"MIT"
] | null | null | null | firehose/functions/firehose/main.py | pei0804/serverless-sample | 6ac55469aed7cf0d6e9f57109f0852122a951906 | [
"MIT"
] | null | null | null | firehose/functions/firehose/main.py | pei0804/serverless-sample | 6ac55469aed7cf0d6e9f57109f0852122a951906 | [
"MIT"
] | null | null | null | import boto3
def lambda_handler(event, context):
firehose = boto3.client('firehose')
firehose.put_record(
DeliveryStreamName='firehose',
Record={
'Data': b'{"user_id": "a", "event": "AAA"}\n'
}
)
firehose.put_record(
DeliveryStreamName='firehose',
Re... | 23.166667 | 57 | 0.508993 |
6b0be06b15cb9e6ce1469770bcfd2a0046cd5520 | 404 | py | Python | core/migrations/0009_auto_20220115_2012.py | timehaswings/aoi_backend | 17fa315d250022455e38235a10656ddaae4db655 | [
"Apache-2.0"
] | 1 | 2021-12-22T01:48:02.000Z | 2021-12-22T01:48:02.000Z | core/migrations/0009_auto_20220115_2012.py | timehaswings/aoi_backend | 17fa315d250022455e38235a10656ddaae4db655 | [
"Apache-2.0"
] | null | null | null | core/migrations/0009_auto_20220115_2012.py | timehaswings/aoi_backend | 17fa315d250022455e38235a10656ddaae4db655 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.7 on 2022-01-15 20:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('core', '0008_groupmenu'),
]
operations = [
migrations.AlterField(
model_name='menu',
name='url',
field=m... | 21.263158 | 85 | 0.596535 |
fd21a1d60885c7ee0db39f822ef0fb571f20567b | 24,169 | py | Python | code/run_fewrel.py | CJWBW/my_erine | 9cedbcb2efcdfe4e7cb0aabaff3a53e971131ebb | [
"MIT"
] | null | null | null | code/run_fewrel.py | CJWBW/my_erine | 9cedbcb2efcdfe4e7cb0aabaff3a53e971131ebb | [
"MIT"
] | null | null | null | code/run_fewrel.py | CJWBW/my_erine | 9cedbcb2efcdfe4e7cb0aabaff3a53e971131ebb | [
"MIT"
] | null | null | null | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HugginFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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... | 42.776991 | 127 | 0.582771 |
18a22f9ecd12b8cd2ba070dcb05f2e55ef3f8d64 | 86 | py | Python | mne/datasets/kiloword/__init__.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 1,953 | 2015-01-17T20:33:46.000Z | 2022-03-30T04:36:34.000Z | mne/datasets/kiloword/__init__.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 8,490 | 2015-01-01T13:04:18.000Z | 2022-03-31T23:02:08.000Z | mne/datasets/kiloword/__init__.py | fmamashli/mne-python | 52f064415e7c9fa8fe243d22108dcdf3d86505b9 | [
"BSD-3-Clause"
] | 1,130 | 2015-01-08T22:39:27.000Z | 2022-03-30T21:44:26.000Z | """MNE visual_92_categories dataset."""
from .kiloword import data_path, get_version
| 21.5 | 44 | 0.790698 |
9fe809b289dcd40d88c83e33a194fe713490761a | 6,367 | py | Python | redis_wikicache.py | radomd92/botjagwar | 1dc96600c40041057a9f9afde38c31ca34b8db38 | [
"MIT"
] | 7 | 2015-01-23T17:24:04.000Z | 2022-01-12T16:54:24.000Z | redis_wikicache.py | radomd92/botjagwar | 1dc96600c40041057a9f9afde38c31ca34b8db38 | [
"MIT"
] | 18 | 2017-12-09T01:11:23.000Z | 2021-09-22T13:26:24.000Z | redis_wikicache.py | radomd92/botjagwar | 1dc96600c40041057a9f9afde38c31ca34b8db38 | [
"MIT"
] | 1 | 2015-06-22T02:17:55.000Z | 2015-06-22T02:17:55.000Z | import pywikibot
import redis
from api.config import BotjagwarConfig
from api.decorator import separate_process
from import_wiktionary import EnWiktionaryDumpImporter
config = BotjagwarConfig()
class NoPage(Exception):
pass
class RedisSite(object):
def __init__(
self,
language: str... | 34.416216 | 85 | 0.586619 |
b2329006106df9a6fd2a3a4aef8a9cca3bde2071 | 59 | py | Python | masonite/__init__.py | josephmancuso/masonite-azure-driver | 06e766f9833b48d28a6ffd4afb24114be1a60a1c | [
"MIT"
] | 1 | 2018-12-08T07:07:37.000Z | 2018-12-08T07:07:37.000Z | masonite/__init__.py | vaibhavmule/masonite-cloudinary-driver | 866b073717144b8e4755495a01cd4da20d295eaf | [
"MIT"
] | null | null | null | masonite/__init__.py | vaibhavmule/masonite-cloudinary-driver | 866b073717144b8e4755495a01cd4da20d295eaf | [
"MIT"
] | 1 | 2019-08-07T16:53:09.000Z | 2019-08-07T16:53:09.000Z | from .contrib import drivers
from .contrib import providers | 29.5 | 30 | 0.847458 |
af0e056d6f71bb1927c037ea383c3b625321d406 | 2,180 | py | Python | topaz/modules/ffi/function.py | mswart/topaz | 4bc02d6f4bf29c20f045223ecb6ae8a5cc9df2ae | [
"BSD-3-Clause"
] | 6 | 2015-04-10T20:11:03.000Z | 2021-11-10T07:03:46.000Z | topaz/modules/ffi/function.py | mswart/topaz | 4bc02d6f4bf29c20f045223ecb6ae8a5cc9df2ae | [
"BSD-3-Clause"
] | 1 | 2017-01-24T10:17:55.000Z | 2017-01-24T10:17:55.000Z | topaz/modules/ffi/function.py | mswart/topaz | 4bc02d6f4bf29c20f045223ecb6ae8a5cc9df2ae | [
"BSD-3-Clause"
] | 2 | 2017-01-23T18:47:35.000Z | 2019-11-13T08:31:18.000Z | import sys
from topaz.module import ClassDef
from topaz.modules.ffi import type as ffitype
from topaz.modules.ffi.pointer import W_PointerObject
from topaz.modules.ffi.dynamic_library import coerce_dl_symbol
from topaz.modules.ffi.function_type import W_FunctionTypeObject
from topaz.objects.moduleobject import W_Funct... | 36.949153 | 77 | 0.713761 |
d75b4cbc06c6d60918f9ffe5918cd5ca78a252c1 | 1,286 | py | Python | tests/utils/model_space_test.py | HSE-LAMBDA/modelgym | 7f8086c716a014852c1c91c6871bf75da6463ceb | [
"Apache-2.0"
] | 18 | 2017-06-11T01:04:19.000Z | 2022-03-09T04:45:19.000Z | tests/utils/model_space_test.py | HSE-LaMBDA/modelgym | 7f8086c716a014852c1c91c6871bf75da6463ceb | [
"Apache-2.0"
] | 37 | 2017-06-12T22:33:12.000Z | 2019-03-07T08:20:43.000Z | tests/utils/model_space_test.py | HSE-LaMBDA/modelgym | 7f8086c716a014852c1c91c6871bf75da6463ceb | [
"Apache-2.0"
] | 20 | 2017-07-18T17:19:02.000Z | 2019-04-09T16:22:53.000Z | import pytest
from modelgym.utils import ModelSpace, process_model_spaces
from modelgym.models import LGBMClassifier, RFClassifier
def test_process_model_spaces():
rf_model_space = ModelSpace(RFClassifier, name="RF")
processed = process_model_spaces([LGBMClassifier, rf_model_space])
assert len(processed) ... | 38.969697 | 78 | 0.746501 |
7a52e70c3728755daa51b7cbe7ac413e27f720e3 | 4,988 | py | Python | ooobuild/lo/sdbc/row_set.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/sdbc/row_set.py | Amourspirit/ooo_uno_tmpl | 64e0c86fd68f24794acc22d63d8d32ae05dd12b8 | [
"Apache-2.0"
] | null | null | null | ooobuild/lo/sdbc/row_set.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... | 36.948148 | 424 | 0.685245 |
f322de074b3ea4b3fd5d3377bcfba25f5a9920b3 | 5,040 | py | Python | talon_one/models/inline_response2006.py | talon-one/talon_one.py | f863bb3c2cc5ddc94d9227adcf14947b2ea7db41 | [
"MIT"
] | 1 | 2021-03-05T06:41:26.000Z | 2021-03-05T06:41:26.000Z | talon_one/models/inline_response2006.py | talon-one/talon_one.py | f863bb3c2cc5ddc94d9227adcf14947b2ea7db41 | [
"MIT"
] | 1 | 2021-09-07T08:56:58.000Z | 2021-09-07T08:56:58.000Z | talon_one/models/inline_response2006.py | talon-one/talon_one.py | f863bb3c2cc5ddc94d9227adcf14947b2ea7db41 | [
"MIT"
] | 1 | 2019-05-21T10:27:54.000Z | 2019-05-21T10:27:54.000Z | # coding: utf-8
"""
Talon.One API
The Talon.One API is used to manage applications and campaigns, as well as to integrate with your application. The operations in the _Integration API_ section are used to integrate with our platform, while the other operations are used to manage applications and campaigns. #... | 33.825503 | 647 | 0.624405 |
2e69639822990ba77ef76b36bc7df273573566e6 | 3,208 | py | Python | fn_scheduler/fn_scheduler/components/scheduled_rule_pause_resume.py | rudimeyer/resilient-community-apps | 7a46841ba41fa7a1c421d4b392b0a3ca9e36bd00 | [
"MIT"
] | 1 | 2020-08-25T03:43:07.000Z | 2020-08-25T03:43:07.000Z | fn_scheduler/fn_scheduler/components/scheduled_rule_pause_resume.py | rudimeyer/resilient-community-apps | 7a46841ba41fa7a1c421d4b392b0a3ca9e36bd00 | [
"MIT"
] | 1 | 2019-07-08T16:57:48.000Z | 2019-07-08T16:57:48.000Z | fn_scheduler/fn_scheduler/components/scheduled_rule_pause_resume.py | rudimeyer/resilient-community-apps | 7a46841ba41fa7a1c421d4b392b0a3ca9e36bd00 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# pragma pylint: disable=unused-argument, no-self-use
"""Function implementation"""
import logging
from resilient_circuits import ResilientComponent, function, handler, StatusMessage, FunctionResult, FunctionError
from resilient_lib import ResultPayload
from fn_scheduler.components import SECTI... | 35.252747 | 114 | 0.644638 |
d68650fff76d8fe33b5db8606628d7484753a51e | 10,565 | py | Python | support/data_upload.py | ErinBryson/Robs_Data_Collector | 8f2de121ee821f09ba5ff274fc13258a9d571186 | [
"MIT"
] | null | null | null | support/data_upload.py | ErinBryson/Robs_Data_Collector | 8f2de121ee821f09ba5ff274fc13258a9d571186 | [
"MIT"
] | 6 | 2021-06-06T19:38:38.000Z | 2021-08-11T19:44:17.000Z | support/data_upload.py | ErinBryson/robs_data_collector | 8f2de121ee821f09ba5ff274fc13258a9d571186 | [
"MIT"
] | null | null | null | ########################################################################################################################
# FILE DETAILS #
# ----------------------------------------------------------------------------... | 33.22327 | 120 | 0.51027 |
0fa47268d9d628afe49da8d4a996c283e29911ea | 12,996 | py | Python | multiagent-particle-envs/multiagent/environment.py | ScorpioPeng/maddpg | d4b109da6f4a21958b20825d37ade86568c48237 | [
"MIT"
] | null | null | null | multiagent-particle-envs/multiagent/environment.py | ScorpioPeng/maddpg | d4b109da6f4a21958b20825d37ade86568c48237 | [
"MIT"
] | null | null | null | multiagent-particle-envs/multiagent/environment.py | ScorpioPeng/maddpg | d4b109da6f4a21958b20825d37ade86568c48237 | [
"MIT"
] | null | null | null | import gym
from gym import spaces
from gym.envs.registration import EnvSpec
import numpy as np
from multiagent.multi_discrete import MultiDiscrete
# environment for all agents in the multiagent world
# currently code assumes that no agents will be created/destroyed at runtime!
class MultiAgentEnv(gym.Env):
metadat... | 38.449704 | 124 | 0.573176 |
99f3850abb8be151725bc753504a25abee5542b0 | 111,507 | py | Python | jax/_src/lax/control_flow.py | erwincoumans/jax | f0e55e3ce241f997b097bd9381504c08a9d35cf8 | [
"ECL-2.0",
"Apache-2.0"
] | 14 | 2021-04-24T03:26:39.000Z | 2022-01-28T14:25:13.000Z | jax/_src/lax/control_flow.py | erwincoumans/jax | f0e55e3ce241f997b097bd9381504c08a9d35cf8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | jax/_src/lax/control_flow.py | erwincoumans/jax | f0e55e3ce241f997b097bd9381504c08a9d35cf8 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 41.88843 | 114 | 0.698916 |
258427bece34d944a7764f3f20d42bcaf4c45523 | 205 | py | Python | 2019/day1/day1p2.py | darkterbear/advent-of-code-2015 | 543d5a70c4b4c84081602cfa3d0ba05fe0693e54 | [
"MIT"
] | null | null | null | 2019/day1/day1p2.py | darkterbear/advent-of-code-2015 | 543d5a70c4b4c84081602cfa3d0ba05fe0693e54 | [
"MIT"
] | 2 | 2019-12-01T20:03:18.000Z | 2021-05-11T22:41:00.000Z | 2019/day1/day1p2.py | darkterbear/advent-of-code-2015 | 543d5a70c4b4c84081602cfa3d0ba05fe0693e54 | [
"MIT"
] | null | null | null | file = open('./input')
def findFuel(mass):
raw = mass // 3 - 2
if raw <= 0:
return 0
return raw + findFuel(raw)
sum = 0
for line in file:
sum += findFuel(int(line))
print(sum)
| 12.8125 | 30 | 0.55122 |
00176c24a883ff7f6aeb39eed299e4a096e6b950 | 707 | py | Python | my_env/Lib/site-packages/sklearn/experimental/enable_iterative_imputer.py | obulrdy6881/Drowsinss | 61cb9281d7dd22aee282b517e2fbf500f0ff9935 | [
"MIT"
] | 2 | 2021-05-02T07:59:56.000Z | 2021-12-14T19:53:13.000Z | Web application/env/Lib/site-packages/sklearn/experimental/enable_iterative_imputer.py | arpit0891/Covid-19-and-Pneumonia-detection-from-X-Ray | 6b2756e4672ab25083a0a50f44f36bec1833e789 | [
"MIT"
] | 7 | 2021-06-08T21:46:24.000Z | 2022-03-12T00:35:31.000Z | my_env/Lib/site-packages/sklearn/experimental/enable_iterative_imputer.py | obulrdy6881/Drowsinss | 61cb9281d7dd22aee282b517e2fbf500f0ff9935 | [
"MIT"
] | 1 | 2021-05-02T07:59:59.000Z | 2021-05-02T07:59:59.000Z | """Enables IterativeImputer
The API and results of this estimator might change without any deprecation
cycle.
Importing this file dynamically sets :class:`sklearn.impute.IterativeImputer`
as an attribute of the impute module::
>>> # explicitly require this experimental feature
>>> from sklearn.exper... | 33.666667 | 78 | 0.755304 |
f07ba3569c6681ee886ae93348a466be5a66df13 | 29,056 | py | Python | networkx/algorithms/threshold.py | kakila/networkx | a7c7e0bd2057acf8066d796e53f6ea1a77be803e | [
"BSD-3-Clause"
] | null | null | null | networkx/algorithms/threshold.py | kakila/networkx | a7c7e0bd2057acf8066d796e53f6ea1a77be803e | [
"BSD-3-Clause"
] | null | null | null | networkx/algorithms/threshold.py | kakila/networkx | a7c7e0bd2057acf8066d796e53f6ea1a77be803e | [
"BSD-3-Clause"
] | null | null | null | """
Threshold Graphs - Creation, manipulation and identification.
"""
__author__ = """Aric Hagberg (hagberg@lanl.gov)\nPieter Swart (swart@lanl.gov)\nDan Schult (dschult@colgate.edu)"""
# Copyright (C) 2004-2015 by
# Aric Hagberg <hagberg@lanl.gov>
# Dan Schult <dschult@colgate.edu>
# Pieter Swart <swart@la... | 31.894621 | 115 | 0.608033 |
87e9c24c1b9dd8a0d152176d1baaf2d24870446a | 4,910 | py | Python | cogs/wikiScrape.py | LastAeon77/LibraryOfRuinaBot | 87bbec4a796b6973a975e6eee3c2042754d8ae67 | [
"MIT"
] | 1 | 2020-08-26T12:16:22.000Z | 2020-08-26T12:16:22.000Z | cogs/wikiScrape.py | LastAeon77/LibraryOfRuinaBot | 87bbec4a796b6973a975e6eee3c2042754d8ae67 | [
"MIT"
] | null | null | null | cogs/wikiScrape.py | LastAeon77/LibraryOfRuinaBot | 87bbec4a796b6973a975e6eee3c2042754d8ae67 | [
"MIT"
] | null | null | null | from bs4 import BeautifulSoup
import requests
import discord
from discord.ext import commands
import pandas as pd
class LibraryScrape:
def __init__(self, searchTerm):
df = pd.read_csv("./data/wiki.csv")
row = df.loc[df["SearchTerms"].str.lower() == searchTerm.lower()]
self.searchType = row... | 28.71345 | 83 | 0.569654 |
4472399a5142731d50df281c0363aab60b7b92fe | 404 | py | Python | baselines/deepq/__init__.py | qwertyanonym789/anonym_code | d939b907badabbb01759a3677a0605194564ee96 | [
"MIT"
] | 282 | 2018-06-20T23:00:01.000Z | 2022-03-30T06:25:17.000Z | baselines/deepq/__init__.py | qwertyanonym789/anonym_code | d939b907badabbb01759a3677a0605194564ee96 | [
"MIT"
] | 10 | 2019-03-25T08:19:51.000Z | 2021-11-22T12:25:22.000Z | baselines/deepq/__init__.py | qwertyanonym789/anonym_code | d939b907badabbb01759a3677a0605194564ee96 | [
"MIT"
] | 106 | 2018-06-20T23:06:40.000Z | 2022-03-03T05:04:03.000Z | from baselines.deepq import models # noqa
from baselines.deepq.build_graph import build_act, build_train # noqa
from baselines.deepq.simple import learn, load # noqa
from baselines.deepq.replay_buffer import ReplayBuffer, PrioritizedReplayBuffer # noqa
def wrap_atari_dqn(env):
from baselines.common.atari_wrapp... | 50.5 | 87 | 0.816832 |
f4cf823a11daf8fa4dbfb33f871bd4f608bd0841 | 2,052 | py | Python | bindings/python/examples/return_region.py | mmccarty/legion | 30e00fa6016527c4cf60025a461fb7865f8def6b | [
"Apache-2.0"
] | 555 | 2015-01-19T07:50:27.000Z | 2022-03-22T11:35:48.000Z | bindings/python/examples/return_region.py | mmccarty/legion | 30e00fa6016527c4cf60025a461fb7865f8def6b | [
"Apache-2.0"
] | 1,157 | 2015-01-07T18:34:23.000Z | 2022-03-31T19:45:27.000Z | bindings/python/examples/return_region.py | mmccarty/legion | 30e00fa6016527c4cf60025a461fb7865f8def6b | [
"Apache-2.0"
] | 145 | 2015-02-03T02:31:42.000Z | 2022-02-28T12:03:51.000Z | #!/usr/bin/env python3
# Copyright 2021 Stanford University
#
# 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... | 27 | 74 | 0.681287 |
795af779c8632aff242bcdccdb44123e7a86ed56 | 14,133 | py | Python | tests/test_minimalism.py | georgesdimitrov/arvo | 86d33afc3f45d1f2e6f22aded8c2e2b12bc5db7d | [
"MIT"
] | 11 | 2021-02-24T20:05:24.000Z | 2022-03-13T14:27:04.000Z | tests/test_minimalism.py | georgesdimitrov/arvo | 86d33afc3f45d1f2e6f22aded8c2e2b12bc5db7d | [
"MIT"
] | null | null | null | tests/test_minimalism.py | georgesdimitrov/arvo | 86d33afc3f45d1f2e6f22aded8c2e2b12bc5db7d | [
"MIT"
] | 3 | 2021-09-24T02:26:16.000Z | 2022-03-22T12:34:36.000Z | import pytest
from music21 import converter
from arvo import minimalism
from arvo import sequences
@pytest.fixture
def example_stream():
s = converter.parse("tinyNotation: C D E F G A B c d e f g")
return s
# Additive Process Tests
def test_additive_process(example_stream):
result = minimalism.additiv... | 25.93211 | 88 | 0.51355 |
92ddd9021e3080cae79d3a084d3079595f9d0f28 | 2,236 | py | Python | drf_spectacular/types.py | Mopsan/drf-spectacular | 5d1280c29994793be517b443fd5d902525c6ab3e | [
"BSD-3-Clause"
] | null | null | null | drf_spectacular/types.py | Mopsan/drf-spectacular | 5d1280c29994793be517b443fd5d902525c6ab3e | [
"BSD-3-Clause"
] | null | null | null | drf_spectacular/types.py | Mopsan/drf-spectacular | 5d1280c29994793be517b443fd5d902525c6ab3e | [
"BSD-3-Clause"
] | null | null | null | import enum
from datetime import datetime, date
from decimal import Decimal
from uuid import UUID
class OpenApiTypes(enum.Enum):
"""
Basic types known to the OpenApi specification or at least
common format extension of it.
- Use BYTE for base64 encoded data wrapped in a string
- Use BINARY for ra... | 32.405797 | 72 | 0.636852 |
d34f9f5fc37012d32625baa62f9b895061d2172d | 2,696 | py | Python | tbx/core/migrations/0015_auto_20160218_1201.py | elviva404/wagtail-torchbox | 718d9e2c4337073f010296932d369c726a01dbd3 | [
"MIT"
] | 103 | 2015-02-24T17:58:21.000Z | 2022-03-23T08:08:58.000Z | tbx/core/migrations/0015_auto_20160218_1201.py | elviva404/wagtail-torchbox | 718d9e2c4337073f010296932d369c726a01dbd3 | [
"MIT"
] | 145 | 2015-01-13T17:13:43.000Z | 2022-03-29T12:56:20.000Z | tbx/core/migrations/0015_auto_20160218_1201.py | elviva404/wagtail-torchbox | 718d9e2c4337073f010296932d369c726a01dbd3 | [
"MIT"
] | 57 | 2015-01-03T12:00:37.000Z | 2022-02-09T13:11:30.000Z | # -*- coding: utf-8 -*-
from django.db import models, migrations
import wagtail.images.models
import django.db.models.deletion
from django.conf import settings
import taggit.managers
class Migration(migrations.Migration):
dependencies = [
("torchbox", "0014_workpage_show_in_play_menu"),
]
oper... | 30.988506 | 77 | 0.546365 |
c7c86252b8187032ffab0bbff534cb8f55761934 | 12,250 | py | Python | thirdweb/core/classes/marketplace_direct.py | nftlabs/nftlabs-sdk-python | ea533142dc0881872b347cd8ce635dc0bfff3153 | [
"Apache-2.0"
] | 30 | 2021-10-31T13:17:58.000Z | 2022-02-04T13:41:13.000Z | thirdweb/core/classes/marketplace_direct.py | nftlabs/nftlabs-sdk-python | ea533142dc0881872b347cd8ce635dc0bfff3153 | [
"Apache-2.0"
] | 36 | 2021-11-03T20:30:38.000Z | 2022-02-14T10:15:40.000Z | thirdweb/core/classes/marketplace_direct.py | nftlabs/nftlabs-sdk-python | ea533142dc0881872b347cd8ce635dc0bfff3153 | [
"Apache-2.0"
] | 10 | 2021-11-10T19:59:41.000Z | 2022-01-21T21:26:55.000Z | from re import M
from typing import Any, Dict, Optional, cast
from eth_utils import is_address
from thirdweb.abi import Marketplace
from thirdweb.abi import IERC165
from thirdweb.abi.ierc1155 import IERC1155
from thirdweb.abi.ierc721 import IERC721
from thirdweb.abi.marketplace import IMarketplaceListingParameters
fro... | 33.378747 | 112 | 0.627347 |
174f5f45696778188a3c2256a0cf562a5968cb49 | 18 | py | Python | .venv/lib/python3.8/site-packages/nbclient/_version.py | RivtLib/replit01 | ce1ae18b446a9c844f40e88a51c71fbc45ab3ad7 | [
"MIT"
] | 6 | 2019-01-23T03:51:31.000Z | 2021-02-15T07:54:39.000Z | .venv/lib/python3.8/site-packages/nbclient/_version.py | RivtLib/replit01 | ce1ae18b446a9c844f40e88a51c71fbc45ab3ad7 | [
"MIT"
] | 52 | 2019-01-23T10:10:30.000Z | 2021-06-27T10:23:10.000Z | .venv/lib/python3.8/site-packages/nbclient/_version.py | RivtLib/replit01 | ce1ae18b446a9c844f40e88a51c71fbc45ab3ad7 | [
"MIT"
] | 7 | 2019-01-23T10:06:03.000Z | 2020-10-29T18:38:37.000Z | version = '0.5.4'
| 9 | 17 | 0.555556 |
01176a04b19fd37b8ba708957728e250140875bd | 2,971 | py | Python | src/bioregistry/schema/constants.py | kkaris/bioregistry | e8cdaf8e8c5670873ce10a5a67d7850b76e5eff7 | [
"MIT"
] | null | null | null | src/bioregistry/schema/constants.py | kkaris/bioregistry | e8cdaf8e8c5670873ce10a5a67d7850b76e5eff7 | [
"MIT"
] | null | null | null | src/bioregistry/schema/constants.py | kkaris/bioregistry | e8cdaf8e8c5670873ce10a5a67d7850b76e5eff7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Schema constants."""
import rdflib.namespace
__all__ = [
'bioregistry_schema_terms',
# Namespaces
'bioregistry_collection',
'bioregistry_resource',
'bioregistry_metaresource',
'bioregistry_schema',
'orcid',
]
bioregistry_schema_terms = {
'Resource': "A type... | 57.134615 | 117 | 0.705486 |
711581c102a78a817dafd2e61356974155dab7f3 | 1,712 | py | Python | app/core/migrations/0001_initial.py | mxuanvan02/recipe-app-api | f037e5650cbf97a583d6654e035baa518328176e | [
"MIT"
] | null | null | null | app/core/migrations/0001_initial.py | mxuanvan02/recipe-app-api | f037e5650cbf97a583d6654e035baa518328176e | [
"MIT"
] | null | null | null | app/core/migrations/0001_initial.py | mxuanvan02/recipe-app-api | f037e5650cbf97a583d6654e035baa518328176e | [
"MIT"
] | null | null | null | # Generated by Django 3.2.6 on 2021-08-23 16:29
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0012_alter_user_first_name_max_length'),
]
operations = [
migrations.CreateModel(
name='User',
... | 50.352941 | 266 | 0.639603 |
cc75956a5994bcbc5e2a64fda1299084eca1951b | 20,297 | py | Python | bop_toolkit_lib/renderer_py.py | Alex-B5/bop_toolkit_ab | a9fc94c68a84a0866b88169321048478763900ca | [
"MIT"
] | null | null | null | bop_toolkit_lib/renderer_py.py | Alex-B5/bop_toolkit_ab | a9fc94c68a84a0866b88169321048478763900ca | [
"MIT"
] | null | null | null | bop_toolkit_lib/renderer_py.py | Alex-B5/bop_toolkit_ab | a9fc94c68a84a0866b88169321048478763900ca | [
"MIT"
] | null | null | null | # Author: Tomas Hodan (hodantom@cmp.felk.cvut.cz)
# Center for Machine Perception, Czech Technical University in Prague
"""A Python based renderer."""
import os
import numpy as np
from glumpy import app, gloo, gl
from bop_toolkit_lib import inout
from bop_toolkit_lib import misc
from bop_toolkit_lib import renderer
... | 34.227656 | 104 | 0.663793 |
f84aae3e00c7ffcc0d05092565deb86e680e3987 | 7,552 | py | Python | rplugin/python3/lfx/main.py | dcampos/nvim-ulf | 9b70096bf04133a33f09691b1ef1ac89f8f29a85 | [
"MIT"
] | 2 | 2020-10-15T09:34:53.000Z | 2020-10-26T10:31:48.000Z | rplugin/python3/lfx/main.py | dcampos/nvim-ulf | 9b70096bf04133a33f09691b1ef1ac89f8f29a85 | [
"MIT"
] | null | null | null | rplugin/python3/lfx/main.py | dcampos/nvim-ulf | 9b70096bf04133a33f09691b1ef1ac89f8f29a85 | [
"MIT"
] | 1 | 2020-10-15T09:35:05.000Z | 2020-10-15T09:35:05.000Z | #!/usr/bin/env python3
from core.types import ClientConfig, Settings
from core.sessions import create_session
from core.protocol import WorkspaceFolder
from core.sessions import Session
from core.protocol import Request, Notification
from core.url import filename_to_uri
from core.logging import set_debug_logging, set_... | 25.687075 | 90 | 0.620895 |
a1d0245a8cca7577ca292fa843f885bd44bba2c6 | 4,437 | py | Python | gdmtl/datasets/assembler.py | binshengliu/gdmtl | fb8bfe0e87bbd6d8535cc8449012fb4119430d4c | [
"MIT"
] | null | null | null | gdmtl/datasets/assembler.py | binshengliu/gdmtl | fb8bfe0e87bbd6d8535cc8449012fb4119430d4c | [
"MIT"
] | null | null | null | gdmtl/datasets/assembler.py | binshengliu/gdmtl | fb8bfe0e87bbd6d8535cc8449012fb4119430d4c | [
"MIT"
] | 1 | 2022-02-26T00:49:03.000Z | 2022-02-26T00:49:03.000Z | from __future__ import annotations
from itertools import zip_longest
from typing import Dict, Generic, List, Optional, Sequence, TypeVar
import torch
from irtools.pad import pad_batch
from transformers import PreTrainedTokenizer
T = TypeVar("T", str, List[int])
class Assembler(Generic[T]):
"""Assemble pre-toke... | 38.921053 | 92 | 0.626549 |
21b62ee9ac048a021f53d66d14707f3bf6649f00 | 38,120 | py | Python | api/data/constants/essence.py | XIIIsiren/CommunityAPI | e665638d2800b71b3d32d49c6897901f4c49a9c5 | [
"Apache-2.0"
] | 1 | 2021-06-15T07:31:13.000Z | 2021-06-15T07:31:13.000Z | api/data/constants/essence.py | XIIIsiren/CommunityAPI | e665638d2800b71b3d32d49c6897901f4c49a9c5 | [
"Apache-2.0"
] | 1 | 2021-06-01T10:14:32.000Z | 2021-06-02T10:54:12.000Z | api/data/constants/essence.py | XIIIsiren/CommunityAPI | e665638d2800b71b3d32d49c6897901f4c49a9c5 | [
"Apache-2.0"
] | 2 | 2021-06-01T10:59:15.000Z | 2021-06-03T18:29:36.000Z | ESSENCE_DICT = {
"SOUL_WHIP": {
"type": "Wither",
"dungeonize": 300,
"1": 200,
"2": 300,
"3": 400,
"4": 550,
"5": 750
},
"JERRY_STAFF": {
"type": "Wither",
"dungeonize": 0,
"1": 5,
"2": 10,
"3": 25,
"4": ... | 18.649706 | 36 | 0.31393 |
fe2c29bc84b8d2fcc529fc29593ac37f259fbed7 | 13 | py | Python | deplytils/__init__.py | joshuahaertel/putils | cd467560b4e97b1caee9ee2111a0748021744b07 | [
"MIT"
] | null | null | null | deplytils/__init__.py | joshuahaertel/putils | cd467560b4e97b1caee9ee2111a0748021744b07 | [
"MIT"
] | null | null | null | deplytils/__init__.py | joshuahaertel/putils | cd467560b4e97b1caee9ee2111a0748021744b07 | [
"MIT"
] | null | null | null | """putils"""
| 6.5 | 12 | 0.461538 |
e23183ddba3187ac893b4f19cac86853f913ef79 | 929 | py | Python | run/wordsub_task3.py | osmanbaskaya/semeval14-task3 | 2d440cadd701de3cbff3a6be630157d3ade05176 | [
"MIT"
] | 1 | 2015-02-03T20:22:33.000Z | 2015-02-03T20:22:33.000Z | run/wordsub_task3.py | osmanbaskaya/semeval14-task3 | 2d440cadd701de3cbff3a6be630157d3ade05176 | [
"MIT"
] | null | null | null | run/wordsub_task3.py | osmanbaskaya/semeval14-task3 | 2d440cadd701de3cbff3a6be630157d3ade05176 | [
"MIT"
] | null | null | null | #! /usr/bin/python
# -*- coding: utf-8 -*-
__author__ = "Osman Baskaya"
import sys
import random
from nltk.corpus import stopwords
initial = sys.argv[1] # L or R
n = int(sys.argv[2]) # number of substitutes
s = int(sys.argv[3]) # seed
random.seed(s)
stop = set(stopwords.words('english'))
map(stop.add, "lrb rrb r... | 22.658537 | 89 | 0.488698 |
8f7cba65e894c39ecbec2f6660cb8c6f83b646b2 | 4,814 | py | Python | src/main.py | DickKemp/Blockus | e720ce5a50e001c9f0316adc16c30b603ba92c9b | [
"MIT"
] | null | null | null | src/main.py | DickKemp/Blockus | e720ce5a50e001c9f0316adc16c30b603ba92c9b | [
"MIT"
] | 1 | 2022-02-08T03:29:52.000Z | 2022-02-08T03:29:52.000Z | src/main.py | DickKemp/Blockus | e720ce5a50e001c9f0316adc16c30b603ba92c9b | [
"MIT"
] | null | null | null | from __future__ import annotations
from typing import Set
from blokus.blokus import Blok, OverlapException, UnequalEdgesException
from blokus.canvas import Canvas, CompositeShape, PolygonShape, Style, Box
from blokus.point import Point
import math
import time
def gen_next_level(levelset, b1, is_symmetric=False) -> Set... | 38.822581 | 120 | 0.582052 |
eab18eb9b090b2f98580b0991568c0cffa072c0a | 2,366 | py | Python | tightai/utils.py | tightai/tightai | 3a440ad780f5c7ff84a54ad9dc6b342ce3b420b6 | [
"Apache-2.0"
] | 1 | 2020-09-13T08:10:59.000Z | 2020-09-13T08:10:59.000Z | tightai/utils.py | tightai/tightai | 3a440ad780f5c7ff84a54ad9dc6b342ce3b420b6 | [
"Apache-2.0"
] | 1 | 2022-02-26T08:32:58.000Z | 2022-02-26T08:32:58.000Z | tightai/utils.py | tightai/tightai | 3a440ad780f5c7ff84a54ad9dc6b342ce3b420b6 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: 10_utils.ipynb (unless otherwise specified).
__all__ = ['resolve_path', 'print_dict', 'sort_by_key', 'sec_to_hours', 'to_datetime', 'format_date']
# Cell
import pathlib
# Cell
def resolve_path(path):
return pathlib.Path(path).resolve()
# Cell
def print_dict(item_dict)... | 27.195402 | 129 | 0.591293 |
e18594963a3614f54e2a9e22384bd35c698602e6 | 8,741 | py | Python | expandseq/__main__.py | jrowellfx/expandSeq | c5f5677d684fa8ba7a4e10b1346aaaa9a32e0cdc | [
"BSD-3-Clause"
] | null | null | null | expandseq/__main__.py | jrowellfx/expandSeq | c5f5677d684fa8ba7a4e10b1346aaaa9a32e0cdc | [
"BSD-3-Clause"
] | null | null | null | expandseq/__main__.py | jrowellfx/expandSeq | c5f5677d684fa8ba7a4e10b1346aaaa9a32e0cdc | [
"BSD-3-Clause"
] | null | null | null | # 3-Clause BSD License
#
# Copyright (c) 2008-2021, James Philip Rowell,
# Alpha Eleven Incorporated
# www.alpha-eleven.com
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# 1. Redistribut... | 39.731818 | 120 | 0.642604 |
2172ebd6a9e6e15fb223e8b00db7841c94c9b137 | 12,631 | py | Python | CIS/command.py | charlesfoster/covid-illumina-snakemake | fa70f169259c8a0037e83343a3b9afcd1c2f8285 | [
"MIT"
] | 1 | 2022-03-08T00:41:20.000Z | 2022-03-08T00:41:20.000Z | CIS/command.py | charlesfoster/covid-illumina-snakemake | fa70f169259c8a0037e83343a3b9afcd1c2f8285 | [
"MIT"
] | null | null | null | CIS/command.py | charlesfoster/covid-illumina-snakemake | fa70f169259c8a0037e83343a3b9afcd1c2f8285 | [
"MIT"
] | 1 | 2021-11-11T04:50:24.000Z | 2021-11-11T04:50:24.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Jun 3 15:57:54 2021
@author: cfos
"""
from CIS import __version__
import os
import snakemake
import argparse
import sys
import shutil
import psutil
from datetime import date
from psutil import virtual_memory
from psutil._common import bytes2human
this... | 31.187654 | 206 | 0.534399 |
69dfc38cc3c167d88b7cc364be4d540176eff86c | 1,735 | py | Python | scripts/create_agent.py | c-keil/SE2-equivariant-grasp-learning | f32230e45c6a7bc1693df9b27d1084d98347477e | [
"MIT"
] | null | null | null | scripts/create_agent.py | c-keil/SE2-equivariant-grasp-learning | f32230e45c6a7bc1693df9b27d1084d98347477e | [
"MIT"
] | null | null | null | scripts/create_agent.py | c-keil/SE2-equivariant-grasp-learning | f32230e45c6a7bc1693df9b27d1084d98347477e | [
"MIT"
] | 1 | 2022-03-14T20:08:18.000Z | 2022-03-14T20:08:18.000Z | from agents.agents_3d.dqn_3d_asr import DQN3DASR
from utils.parameters import *
from networks.equivariant_models_refactor import EquResUReg, EquShiftQ2ResN
def createAgent():
"""
Creates the DQN agent with equivariant q1, q2 networks
"""
if half_rotation:
rz_range = (0, (num_rotations - 1) * ... | 41.309524 | 109 | 0.692795 |
bdbf53c48b90b3b7aee15ced3764bbf92ac1e2a1 | 8,849 | py | Python | restoredb.py | cecton/restoredb.py | fbd97293112b47ecc39204a7845664c9a0981fd1 | [
"MIT"
] | null | null | null | restoredb.py | cecton/restoredb.py | fbd97293112b47ecc39204a7845664c9a0981fd1 | [
"MIT"
] | null | null | null | restoredb.py | cecton/restoredb.py | fbd97293112b47ecc39204a7845664c9a0981fd1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python2
#
# restoredb
#
# This is a small example on how to use StreamDecompressor to make a
# generic pg_restore-like command.
#
# TL;DR
#
# ~/$ restoredb -d dbname my_dump.pgdump.xz
# # will restore a pgdump compressed in xz
#
# ~/$ restoredb -d dbname my_dump.sql.bz2
... | 31.491103 | 78 | 0.607413 |
da809a59ca07e1ca2608390106867d362000110b | 7,637 | py | Python | lm_pickers/maxcover.py | dulek/alt-tester | d3925e28b2b01ca25706546646b921de90fcd5c8 | [
"MIT"
] | null | null | null | lm_pickers/maxcover.py | dulek/alt-tester | d3925e28b2b01ca25706546646b921de90fcd5c8 | [
"MIT"
] | null | null | null | lm_pickers/maxcover.py | dulek/alt-tester | d3925e28b2b01ca25706546646b921de90fcd5c8 | [
"MIT"
] | null | null | null | from collections import defaultdict
import math
import random
from numpy import random as random_np
from colorama import Fore
from lib import logger
from lib.utils import all_dijkstra_tree, get_lower_bound, get_lm_distances
from lm_picker import LMPicker
LOG = logger.getLogger()
class MaxcoverPicker(LMPicker):
... | 38.376884 | 80 | 0.47846 |
b5f1deaa87bc7a0aea8c3b5ed3c4fd851cedd627 | 1,554 | py | Python | people/migrations/0001_initial.py | losolio/website | 5b983e9dfaf604212aab87c51d8904ffc29527a3 | [
"MIT"
] | null | null | null | people/migrations/0001_initial.py | losolio/website | 5b983e9dfaf604212aab87c51d8904ffc29527a3 | [
"MIT"
] | null | null | null | people/migrations/0001_initial.py | losolio/website | 5b983e9dfaf604212aab87c51d8904ffc29527a3 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import django.db.models.deletion
import wagtail.wagtailcore.blocks
from django.db import migrations, models
import people.fields
class Migration(migrations.Migration):
dependencies = [
('wagtailimages', '0006_add_verbose_names'),
(... | 40.894737 | 161 | 0.616474 |
c29b5951c1d572fdf7110582de9e146296eb2433 | 8,477 | py | Python | tensorflow/compiler/plugin/poplar/tests/topk_onehot_test.py | DebeshJha/tensorflow-1 | 2b5a225c49d25273532d11c424d37ce394d7579a | [
"Apache-2.0"
] | 2 | 2021-03-08T23:32:06.000Z | 2022-01-13T03:43:49.000Z | tensorflow/compiler/plugin/poplar/tests/topk_onehot_test.py | DebeshJha/tensorflow-1 | 2b5a225c49d25273532d11c424d37ce394d7579a | [
"Apache-2.0"
] | null | null | null | tensorflow/compiler/plugin/poplar/tests/topk_onehot_test.py | DebeshJha/tensorflow-1 | 2b5a225c49d25273532d11c424d37ce394d7579a | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 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... | 29.848592 | 114 | 0.518226 |
402ad993dfdf629ab07b3402f88defdf78811af5 | 8,801 | py | Python | third_party/gstreamer/scripts/gst-plot-timeline.py | isabella232/aistreams | 209f4385425405676a581a749bb915e257dbc1c1 | [
"Apache-2.0"
] | 6 | 2020-09-22T18:07:15.000Z | 2021-10-21T01:34:04.000Z | third_party/gstreamer/scripts/gst-plot-timeline.py | isabella232/aistreams | 209f4385425405676a581a749bb915e257dbc1c1 | [
"Apache-2.0"
] | 2 | 2020-11-10T13:17:39.000Z | 2022-03-30T11:22:14.000Z | third_party/gstreamer/scripts/gst-plot-timeline.py | isabella232/aistreams | 209f4385425405676a581a749bb915e257dbc1c1 | [
"Apache-2.0"
] | 3 | 2020-09-26T08:40:35.000Z | 2021-10-21T01:33:56.000Z | #!/usr/bin/env python
#
# based on plot-timeline.py by Federico Mena-Quintero <federico at ximian dotcom>
# example:
# GST_DEBUG_COLOR_MODE=off GST_DEBUG="*:3" gst-launch-1.0 2>debug.log audiotestsrc num-buffers=10 ! audioconvert ! alsasink
# gst-plot-timeline.py debug.log --output=debug.png
import math
import opt... | 27.939683 | 143 | 0.614021 |
cee8f76ff69a5353235bde241610ac6aaff7ca27 | 868 | py | Python | src/terra/api_lcd.py | terra-dashboard/staketaxcsv | 5793105488bf799c61aee64a45f44e9ae8fef397 | [
"MIT"
] | null | null | null | src/terra/api_lcd.py | terra-dashboard/staketaxcsv | 5793105488bf799c61aee64a45f44e9ae8fef397 | [
"MIT"
] | null | null | null | src/terra/api_lcd.py | terra-dashboard/staketaxcsv | 5793105488bf799c61aee64a45f44e9ae8fef397 | [
"MIT"
] | null | null | null | """
LCD documentation:
* https://lcd.terra.dev/swagger/#/
* https://github.com/terra-money/terra.py/tree/main/terra_sdk/client/lcd/api
"""
import logging
import time
from urllib.parse import urlencode
import requests
from settings_csv import TERRA_LCD_NODE
class LcdAPI:
session = requests.Session()
@clas... | 26.30303 | 77 | 0.675115 |
8332b308a368d8b09433ba45a6b56b0e439dcbbc | 4,985 | py | Python | funtool_ipro_processes/adaptors/sequence_import.py | ActiveLearningLab/funtool-ipro-processes | 35547048282d6f39868223fda2da5d3af07af0cf | [
"MIT"
] | null | null | null | funtool_ipro_processes/adaptors/sequence_import.py | ActiveLearningLab/funtool-ipro-processes | 35547048282d6f39868223fda2da5d3af07af0cf | [
"MIT"
] | null | null | null | funtool_ipro_processes/adaptors/sequence_import.py | ActiveLearningLab/funtool-ipro-processes | 35547048282d6f39868223fda2da5d3af07af0cf | [
"MIT"
] | null | null | null | import funtool.adaptor
import funtool.state
import funtool.state_collection
import pymysql
import pymysql.cursors
import yaml
import os
import datetime
import math
def sequence_import(adaptor, state_collection, overriding_parameters=None, logging=None):
adaptor_parameters= funtool.adaptor.get_adaptor_parameters... | 45.318182 | 139 | 0.693079 |
49280a106f4820635fa50743e1dfa0b1cd09eac3 | 4,388 | py | Python | rax/_src/types.py | google/rax | d6370d574246db9fb0566317f7cac8cd331526d7 | [
"Apache-2.0"
] | 19 | 2022-01-25T12:37:51.000Z | 2022-03-30T17:12:45.000Z | rax/_src/types.py | google/rax | d6370d574246db9fb0566317f7cac8cd331526d7 | [
"Apache-2.0"
] | 1 | 2022-02-08T23:02:42.000Z | 2022-02-08T23:02:42.000Z | rax/_src/types.py | google/rax | d6370d574246db9fb0566317f7cac8cd331526d7 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 31.797101 | 80 | 0.670693 |
4a13c6a1a7547673d9cd98ad4bb31e9ead66b1ac | 4,126 | py | Python | benchmark/startQiskit_noisy1054.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_noisy1054.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_noisy1054.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=5
# total number=47
import cirq
import qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.test.mock import FakeVigo
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import ... | 31.257576 | 82 | 0.618032 |
ab4d33eb50262c8bb65e58d3388be65b6e89f82b | 2,221 | py | Python | fiesta/fiesta/nuFlux.py | rodrigruiz/super-duper-fiesta | f09de41f6016fdef0790b783fba9111961e5e33c | [
"MIT"
] | null | null | null | fiesta/fiesta/nuFlux.py | rodrigruiz/super-duper-fiesta | f09de41f6016fdef0790b783fba9111961e5e33c | [
"MIT"
] | null | null | null | fiesta/fiesta/nuFlux.py | rodrigruiz/super-duper-fiesta | f09de41f6016fdef0790b783fba9111961e5e33c | [
"MIT"
] | null | null | null | import numpy as np
def read_flux_file(f):
"""
Read atmospheric neutrino fluxes from an asscii file.
The file is organised in 5 columns as follows:
column1 -- log10(E/GeV)
column2 -- F(nu_e)/(s^-1*m^-2)
column3 -- F(nu_mu)/(s^-1*m^-2)
column4 -- F(nu_e_bar)/(s^-1*m^-2)
column5 -- F(nu_m... | 32.188406 | 158 | 0.620891 |
c3c86d37e2301b330cfa9c55a6dc58ca4716592f | 74 | py | Python | samples/run_bbands.py | tibkiss/pyalgotrade | 4979315281c362dcba2e6d53da27dc4a7377ebec | [
"Apache-2.0"
] | 2 | 2015-04-03T10:29:14.000Z | 2017-01-21T05:55:00.000Z | samples/run_bbands.py | tibkiss/pyalgotrade | 4979315281c362dcba2e6d53da27dc4a7377ebec | [
"Apache-2.0"
] | null | null | null | samples/run_bbands.py | tibkiss/pyalgotrade | 4979315281c362dcba2e6d53da27dc4a7377ebec | [
"Apache-2.0"
] | null | null | null | import sys
sys.path.append('samples')
import bbands
bbands.main(False)
| 9.25 | 26 | 0.756757 |
de36df902fc4d98c4ba9fbbcd0cb485250ed432e | 1,616 | py | Python | mindspore/ops/_op_impl/tbe/div.py | GuoSuiming/mindspore | 48afc4cfa53d970c0b20eedfb46e039db2a133d5 | [
"Apache-2.0"
] | 55 | 2020-12-17T10:26:06.000Z | 2022-03-28T07:18:26.000Z | mindspore/ops/_op_impl/tbe/div.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | 1 | 2020-12-29T06:46:38.000Z | 2020-12-29T06:46:38.000Z | mindspore/ops/_op_impl/tbe/div.py | forwhat461/mindspore | 59a277756eb4faad9ac9afcc7fd526e8277d4994 | [
"Apache-2.0"
] | 14 | 2021-01-29T02:39:47.000Z | 2022-03-23T05:00:26.000Z | # Copyright 2020 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... | 38.47619 | 79 | 0.679455 |
c410285b244864f2308d26b162b393ab2a29a959 | 359 | py | Python | pythonClass.py | AlisonGurgel/pythonNotes | 963f6c9a7d24471b37ec7f27c4337a8d7540ca1e | [
"CC0-1.0"
] | null | null | null | pythonClass.py | AlisonGurgel/pythonNotes | 963f6c9a7d24471b37ec7f27c4337a8d7540ca1e | [
"CC0-1.0"
] | null | null | null | pythonClass.py | AlisonGurgel/pythonNotes | 963f6c9a7d24471b37ec7f27c4337a8d7540ca1e | [
"CC0-1.0"
] | null | null | null | class Car:
def __init__(this, n, y):
this.carName = n
this.carYear = y
this.attFunc = print(this.carName, "\_/", this.carYear)
def getYear(this):
print(this.carYear)
def start(that, km):
print(f"{that.carName} start moving at {km}kmh")
c1 = Car("BMW", 1990)... | 19.944444 | 63 | 0.573816 |
241d9ded8a5c7ad9e75d56166fa6eb1fa3243de0 | 5,302 | py | Python | scripts/testing/test_model_load.py | latika-bhurani/fk-visual-search | 6061d75b00163774135cf9297f44b4bbcc6b62df | [
"Apache-2.0"
] | 1 | 2018-12-19T17:46:58.000Z | 2018-12-19T17:46:58.000Z | scripts/testing/test_model_load.py | latika-bhurani/fk-visual-search | 6061d75b00163774135cf9297f44b4bbcc6b62df | [
"Apache-2.0"
] | null | null | null | scripts/testing/test_model_load.py | latika-bhurani/fk-visual-search | 6061d75b00163774135cf9297f44b4bbcc6b62df | [
"Apache-2.0"
] | null | null | null | import base64
# import h
import numpy as np
import io
from PIL import Image
import keras
from keras.layers.convolutional import Conv2D
from keras.layers.convolutional import MaxPooling2D
from keras.layers.core import Dense
from keras.layers import BatchNormalization
from keras.applications.vgg16 import VGG16
... | 47.339286 | 207 | 0.620709 |
d91fca0120368a2cb04a9679818504a34b2207b2 | 2,101 | py | Python | examples/dice.py | jvanstraten/openql-ci-test | a8ff9c8c30991ff4ac81551a698a7e1c40471910 | [
"Apache-2.0"
] | 1 | 2021-11-10T11:45:57.000Z | 2021-11-10T11:45:57.000Z | examples/dice.py | jvanstraten/openql-ci-test | a8ff9c8c30991ff4ac81551a698a7e1c40471910 | [
"Apache-2.0"
] | 6 | 2020-03-26T16:59:23.000Z | 2021-04-30T07:51:12.000Z | examples/dice.py | jvanstraten/openql-ci-test | a8ff9c8c30991ff4ac81551a698a7e1c40471910 | [
"Apache-2.0"
] | 1 | 2022-02-21T22:07:04.000Z | 2022-02-21T22:07:04.000Z | from openql import openql as ql
import qxelarator
from functools import reduce
import os
import matplotlib.pyplot as plt
curdir = os.path.dirname(__file__)
output_dir = os.path.join(curdir, 'test_output')
ql.set_option('output_dir', output_dir)
ql.set_option('write_qasm_files', 'yes')
ql.set_option('scheduler', 'ASA... | 28.391892 | 74 | 0.671109 |
21686540e82d4ecf18dc58d9ec797496b29cc5d7 | 539,374 | py | Python | google/ads/google_ads/v3/services/enums.py | xflesym/google-ads-python | 11abbea977345d3352b0c1efcea6f4312b25df30 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v3/services/enums.py | xflesym/google-ads-python | 11abbea977345d3352b0c1efcea6f4312b25df30 | [
"Apache-2.0"
] | null | null | null | google/ads/google_ads/v3/services/enums.py | xflesym/google-ads-python | 11abbea977345d3352b0c1efcea6f4312b25df30 | [
"Apache-2.0"
] | 1 | 2020-03-13T00:14:31.000Z | 2020-03-13T00:14:31.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... | 46.501767 | 166 | 0.687753 |
a1297148dba1466ea88f7c774f54616096def0ec | 90 | py | Python | DataAnalysis/ProcessingTools/Queues/__init__.py | AdamSwenson/TwitterProject | 8c5dc7a57eac611b555058736d609f2f204cb836 | [
"MIT"
] | null | null | null | DataAnalysis/ProcessingTools/Queues/__init__.py | AdamSwenson/TwitterProject | 8c5dc7a57eac611b555058736d609f2f204cb836 | [
"MIT"
] | 6 | 2020-03-24T17:34:24.000Z | 2021-12-13T20:14:34.000Z | DataAnalysis/ProcessingTools/Queues/__init__.py | AdamSwenson/TwitterProject | 8c5dc7a57eac611b555058736d609f2f204cb836 | [
"MIT"
] | null | null | null | """
Created by adam on 5/4/18
"""
__author__ = 'adam'
if __name__ == '__main__':
pass | 12.857143 | 26 | 0.611111 |
11e0852edce6d92dee393e4fb99e5f1aeb16e80a | 476 | py | Python | packages/python/plotly/plotly/validators/layout/updatemenu/_borderwidth.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/layout/updatemenu/_borderwidth.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/layout/updatemenu/_borderwidth.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class BorderwidthValidator(_plotly_utils.basevalidators.NumberValidator):
def __init__(
self, plotly_name="borderwidth", parent_name="layout.updatemenu", **kwargs
):
super(BorderwidthValidator, self).__init__(
plotly_name=plotly_name,
... | 31.733333 | 82 | 0.64916 |
ad5f43ff5c201e5110a5d48df8de10b5ba4570a3 | 9,924 | py | Python | bui/layout/radio.py | vincent-lg/bui | a4a783fea2269190fb69c6491a4bc91753ccc580 | [
"BSD-3-Clause"
] | 3 | 2019-07-28T17:15:56.000Z | 2020-04-12T14:05:12.000Z | bui/layout/radio.py | vincent-lg/bui | a4a783fea2269190fb69c6491a4bc91753ccc580 | [
"BSD-3-Clause"
] | null | null | null | bui/layout/radio.py | vincent-lg/bui | a4a783fea2269190fb69c6491a4bc91753ccc580 | [
"BSD-3-Clause"
] | null | null | null | """Radio button object represented in layout."""
from bui.layout.attr import Attr
from bui.layout.component import Component
class RadioButton(Component):
"""
Create a radio button with multiple choices.
A radio button is represented by multiple, mutually-exclusive buttons.
Each button in the group ... | 52.787234 | 88 | 0.366385 |
9324713e71eeec4389cfc11ae3d9fbbc0e32cb7a | 2,694 | py | Python | setup.py | MelkyFB-zz/home-assistant | 81453e9508d97270674415f0b197c69a60355e51 | [
"Apache-2.0"
] | 1 | 2018-10-24T02:43:48.000Z | 2018-10-24T02:43:48.000Z | setup.py | hassbeat/home-assistant | a08e5efe53b3d99fba3c6d46f37e1a8572a39278 | [
"Apache-2.0"
] | null | null | null | setup.py | hassbeat/home-assistant | a08e5efe53b3d99fba3c6d46f37e1a8572a39278 | [
"Apache-2.0"
] | 1 | 2019-02-07T11:50:04.000Z | 2019-02-07T11:50:04.000Z | #!/usr/bin/env python3
"""Home Assistant setup script."""
from setuptools import setup, find_packages
import homeassistant.const as hass_const
PROJECT_NAME = 'Home Assistant'
PROJECT_PACKAGE_NAME = 'homeassistant'
PROJECT_LICENSE = 'Apache License 2.0'
PROJECT_AUTHOR = 'The Home Assistant Authors'
PROJECT_COPYRIGHT =... | 31.694118 | 77 | 0.660356 |
8b8e343ce5e13ffd2c48aaed6fca2f02fa249892 | 6,835 | py | Python | render/BitcoinTradingGraph.py | botemple/Bitcoin-Trader-RL | 0da28ccf4fed4bdfcce7c77de2c1c8d04cad7477 | [
"MIT"
] | 10 | 2019-09-08T12:44:51.000Z | 2021-07-19T09:05:21.000Z | render/BitcoinTradingGraph.py | botemple/Bitcoin-Trader-RL | 0da28ccf4fed4bdfcce7c77de2c1c8d04cad7477 | [
"MIT"
] | null | null | null | render/BitcoinTradingGraph.py | botemple/Bitcoin-Trader-RL | 0da28ccf4fed4bdfcce7c77de2c1c8d04cad7477 | [
"MIT"
] | 2 | 2021-03-25T08:43:16.000Z | 2021-04-20T12:53:40.000Z |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import style
from datetime import datetime
# finance module is no longer part of matplotlib
# see: https://github.com/matplotlib/mpl_finance
from mpl_finance import candlestick_ochl as candlestick
style.use('ggplot')
VOLUME_CHART_... | 40.205882 | 99 | 0.573958 |
84ede800b0b9cca1d7bdc1d6a25b37fee3de973b | 2,097 | py | Python | var/spack/repos/builtin/packages/biobambam2/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | var/spack/repos/builtin/packages/biobambam2/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | var/spack/repos/builtin/packages/biobambam2/package.py | LiamBindle/spack | e90d5ad6cfff2ba3de7b537d6511adccd9d5fcf1 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class Biobambam2(AutotoolsPackage):
"""Tools for early stage alignment file processing"""
h... | 41.94 | 154 | 0.67525 |
5734e017dc0541fc25d120148167be91c2166147 | 548 | py | Python | utils/print_rejected_outlinks.py | truxonjm/BrozzlerAdmin | 511fe3f07282cb9499e97877e62d7418cb9c1def | [
"Apache-2.0"
] | 2 | 2019-12-23T23:33:46.000Z | 2020-11-14T00:52:15.000Z | utils/print_rejected_outlinks.py | truxonjm/BrozzlerAdmin | 511fe3f07282cb9499e97877e62d7418cb9c1def | [
"Apache-2.0"
] | 1 | 2017-10-20T13:28:50.000Z | 2017-10-20T17:13:22.000Z | utils/print_rejected_outlinks.py | truxonjm/BrozzlerAdmin | 511fe3f07282cb9499e97877e62d7418cb9c1def | [
"Apache-2.0"
] | 1 | 2021-06-12T11:40:02.000Z | 2021-06-12T11:40:02.000Z | import doublethink
from argparse import ArgumentParser
parser = ArgumentParser(description="Utility to print all outlinks from a job.")
parser.add_argument('job_id',help="job_id we want to print the rejected outlinks")
parser.add_argument('--rethinkdb_server', default="localhost:28015", help="RethinkDB server")
args =... | 36.533333 | 93 | 0.75 |
5003b6fb507bbca926f169be33e5ede4a2a36812 | 527 | py | Python | index/models.py | GadirMirzayev/Django-E-commerce | 0ca289fdf584b29636a8fc9416319defad0be5a5 | [
"MIT"
] | 1 | 2021-08-20T07:44:39.000Z | 2021-08-20T07:44:39.000Z | index/models.py | GadirMirzayev/Django-E-commerce | 0ca289fdf584b29636a8fc9416319defad0be5a5 | [
"MIT"
] | null | null | null | index/models.py | GadirMirzayev/Django-E-commerce | 0ca289fdf584b29636a8fc9416319defad0be5a5 | [
"MIT"
] | null | null | null | from django.db import models
# Create your models here.
class Subscriber(models.Model):
# information's
email = models.EmailField('E-mail', max_length=63)
# moderation's
is_active = models.BooleanField(default=True)
created_at = models.DateTimeField(auto_now_add=True)
updated_at = models.Date... | 26.35 | 56 | 0.688805 |
e6cd7b5df9e506ba7a3e77fc3e6763aa18802799 | 53 | py | Python | SadapWA.py | McybearX/GameTTs | d62b675394833038cb7df3992af0b3de08ec4fa6 | [
"Apache-2.0"
] | null | null | null | SadapWA.py | McybearX/GameTTs | d62b675394833038cb7df3992af0b3de08ec4fa6 | [
"Apache-2.0"
] | null | null | null | SadapWA.py | McybearX/GameTTs | d62b675394833038cb7df3992af0b3de08ec4fa6 | [
"Apache-2.0"
] | null | null | null | os.system("xdg-open https://youtube.com/c/MBEWLEGS")
| 26.5 | 52 | 0.735849 |
96f1b94a0f4a437fb506f1c3321640141bbdaaa1 | 6,434 | py | Python | openstack_dashboard/dashboards/project/access_and_security/floating_ips/tables.py | aristanetworks/horizon | 6b4ba5194d46360bf1a436b6f9531facfbf5084a | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/dashboards/project/access_and_security/floating_ips/tables.py | aristanetworks/horizon | 6b4ba5194d46360bf1a436b6f9531facfbf5084a | [
"Apache-2.0"
] | null | null | null | openstack_dashboard/dashboards/project/access_and_security/floating_ips/tables.py | aristanetworks/horizon | 6b4ba5194d46360bf1a436b6f9531facfbf5084a | [
"Apache-2.0"
] | null | null | null | # Copyright 2012 Nebula, Inc.
# Copyright (c) 2012 X.commerce, a business unit of eBay Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses... | 36.146067 | 78 | 0.632577 |
220aad9bd6862c3b0e8bcaa6d4f340334793916b | 17,723 | py | Python | DPGAnalysis/SiStripTools/test/manyfederrors_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | DPGAnalysis/SiStripTools/test/manyfederrors_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | DPGAnalysis/SiStripTools/test/manyfederrors_cfg.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
import FWCore.ParameterSet.VarParsing as VarParsing
process = cms.Process("ManyFEDErrors")
#prepare options
options = VarParsing.VarParsing("analysis")
options.register ('globalTag',
"DONOTEXIST",
VarParsing.VarParsing.multiplicity.singlet... | 58.880399 | 157 | 0.680415 |
21516e9fd09718c5f6e7f9e0328f11d174452960 | 11,901 | py | Python | python/sparkdl/transformers/tf_image.py | arthurtibame/spark-deep-learning | 51cc6c030f3c4752c579aa29836666605477fa1d | [
"Apache-2.0"
] | 1 | 2020-06-29T23:45:08.000Z | 2020-06-29T23:45:08.000Z | python/sparkdl/transformers/tf_image.py | diprup/spark-deep-learning | 51cc6c030f3c4752c579aa29836666605477fa1d | [
"Apache-2.0"
] | null | null | null | python/sparkdl/transformers/tf_image.py | diprup/spark-deep-learning | 51cc6c030f3c4752c579aa29836666605477fa1d | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Databricks, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 45.423664 | 95 | 0.659188 |
2e09cfa56b53db6721fbed3306045c7d62615215 | 2,283 | py | Python | felpy/backend/wpg_converters.py | twguest/FELPy | 90ed49cc4bddd2188f3284168152d043144ae1fb | [
"Apache-2.0"
] | null | null | null | felpy/backend/wpg_converters.py | twguest/FELPy | 90ed49cc4bddd2188f3284168152d043144ae1fb | [
"Apache-2.0"
] | null | null | null | felpy/backend/wpg_converters.py | twguest/FELPy | 90ed49cc4bddd2188f3284168152d043144ae1fb | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
import numpy as np
from felpy.model.wavefront import Wavefront
def complex_to_wpg(arr): ### converter
"""
converter function to transform complex wavefield into wpg style electric
field array
:param arr: complex wavefield array [x,y,t] (complex128 type)
:returns... | 29.269231 | 105 | 0.653088 |
c3ddd993b2b9eb359c85c7ca7ea5971fb33df643 | 635 | py | Python | figures/Dots.py | damirmardanov/figure-generator | 1ed7ee6d423f2d7392e95529336b8f2d35ea65fd | [
"MIT"
] | null | null | null | figures/Dots.py | damirmardanov/figure-generator | 1ed7ee6d423f2d7392e95529336b8f2d35ea65fd | [
"MIT"
] | null | null | null | figures/Dots.py | damirmardanov/figure-generator | 1ed7ee6d423f2d7392e95529336b8f2d35ea65fd | [
"MIT"
] | null | null | null | import numpy.random as rnd
import random
from matplotlib.patches import Circle
from figures.Figure import Figures
class DotsBuilder(Figures):
@staticmethod
def generate(xy, count=0):
elements = []
for i in range(count):
xy = rnd.uniform(2.8, 7.2, 2)
radius... | 23.518519 | 58 | 0.577953 |
01ea7f5ec8560871513426399bd579a41dd7e242 | 1,087 | py | Python | SampleEnvSchema142/ArrayByte.py | ScreamingUdder/python-streaming-deserialisation-tools | 9410445ca0f517c904745bd211af05cff40dec5d | [
"BSD-2-Clause"
] | null | null | null | SampleEnvSchema142/ArrayByte.py | ScreamingUdder/python-streaming-deserialisation-tools | 9410445ca0f517c904745bd211af05cff40dec5d | [
"BSD-2-Clause"
] | null | null | null | SampleEnvSchema142/ArrayByte.py | ScreamingUdder/python-streaming-deserialisation-tools | 9410445ca0f517c904745bd211af05cff40dec5d | [
"BSD-2-Clause"
] | null | null | null | # automatically generated, do not modify
# namespace:
import flatbuffers
class ArrayByte(object):
__slots__ = ['_tab']
# ArrayByte
def Init(self, buf, pos):
self._tab = flatbuffers.table.Table(buf, pos)
# ArrayByte
def Value(self, j):
o = flatbuffers.number_types.UOffsetTFlags.... | 32.939394 | 135 | 0.696412 |
bdd60322cd578ec69ca349f5076338adfba9ad1a | 11,624 | py | Python | tests/inference/qmhl_loss_test.py | zaqqwerty/qhbm-library | a4886adf91a3e2e2bc6f6b07a6e13ffe8cf0aa2e | [
"Apache-2.0"
] | 19 | 2022-02-17T19:32:36.000Z | 2022-03-31T01:07:19.000Z | tests/inference/qmhl_loss_test.py | zaqqwerty/qhbm-library | a4886adf91a3e2e2bc6f6b07a6e13ffe8cf0aa2e | [
"Apache-2.0"
] | 37 | 2022-02-17T17:26:01.000Z | 2022-03-31T21:32:16.000Z | tests/inference/qmhl_loss_test.py | zaqqwerty/qhbm-library | a4886adf91a3e2e2bc6f6b07a6e13ffe8cf0aa2e | [
"Apache-2.0"
] | 8 | 2022-02-17T17:26:32.000Z | 2022-03-18T12:11:33.000Z | # Copyright 2021 The QHBM Library 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appl... | 41.81295 | 89 | 0.678768 |
859b921d912edbaee5dddf15826f6e4ffc5e7355 | 6,668 | py | Python | tests/flytekit/unit/core/test_workflows.py | frsann/flytekit | 6c032035563ae645b0b93558b3fe3362080057ea | [
"Apache-2.0"
] | null | null | null | tests/flytekit/unit/core/test_workflows.py | frsann/flytekit | 6c032035563ae645b0b93558b3fe3362080057ea | [
"Apache-2.0"
] | null | null | null | tests/flytekit/unit/core/test_workflows.py | frsann/flytekit | 6c032035563ae645b0b93558b3fe3362080057ea | [
"Apache-2.0"
] | null | null | null | import typing
from collections import OrderedDict
import pytest
from flytekit.common.exceptions.user import FlyteValidationException, FlyteValueException
from flytekit.common.translator import get_serializable
from flytekit.core import context_manager
from flytekit.core.condition import conditional
from flytekit.core... | 25.745174 | 110 | 0.657618 |
a75c94205ca5f6a9ad5dbf0bd477f45d6852ca87 | 1,119 | py | Python | shoobsblog/users/tests/test_forms.py | mattshoobs/AgileStoryboard | 80f14192702330c51b2ff130b25b4bc6d0c326a0 | [
"Apache-1.1"
] | null | null | null | shoobsblog/users/tests/test_forms.py | mattshoobs/AgileStoryboard | 80f14192702330c51b2ff130b25b4bc6d0c326a0 | [
"Apache-1.1"
] | null | null | null | shoobsblog/users/tests/test_forms.py | mattshoobs/AgileStoryboard | 80f14192702330c51b2ff130b25b4bc6d0c326a0 | [
"Apache-1.1"
] | null | null | null | import pytest
from shoobsblog.users.forms import UserCreationForm
from shoobsblog.users.tests.factories import UserFactory
pytestmark = pytest.mark.django_db
class TestUserCreationForm:
def test_clean_username(self):
# A user with proto_user params does not exist yet.
proto_user = UserFactory.bu... | 27.292683 | 59 | 0.595174 |
68cf4b5a4056e02ad1b141e38907bfb306a13b0d | 328 | py | Python | auto_erpnext/config/docs.py | faztp12/auto_erpnext | a38f28cb3c4bae541426bd7375a68d01bb360d66 | [
"MIT"
] | 2 | 2020-12-28T16:34:34.000Z | 2021-01-15T13:35:44.000Z | auto_erpnext/config/docs.py | faztp12/auto_erpnext | a38f28cb3c4bae541426bd7375a68d01bb360d66 | [
"MIT"
] | null | null | null | auto_erpnext/config/docs.py | faztp12/auto_erpnext | a38f28cb3c4bae541426bd7375a68d01bb360d66 | [
"MIT"
] | 4 | 2018-12-20T10:50:41.000Z | 2020-09-13T16:46:58.000Z | """
Configuration for docs
"""
# source_link = "https://github.com/[org_name]/auto_erpnext"
# docs_base_url = "https://[org_name].github.io/auto_erpnext"
# headline = "App that does everything"
# sub_heading = "Yes, you got that right the first time, everything"
def get_context(context):
context.brand_html = "Auto E... | 27.333333 | 68 | 0.731707 |
1c3c16f2f9c12a308f80775d111741f371af1209 | 1,044 | py | Python | python/bitcoin_101/bitcoin_client.py | fcracker79/python_bitcoin_101 | 3af1b1e1b817d9676981f3c6c87d93064ac8febe | [
"MIT"
] | 1 | 2018-09-26T18:10:36.000Z | 2018-09-26T18:10:36.000Z | python/bitcoin_101/bitcoin_client.py | fcracker79/python_bitcoin_101 | 3af1b1e1b817d9676981f3c6c87d93064ac8febe | [
"MIT"
] | null | null | null | python/bitcoin_101/bitcoin_client.py | fcracker79/python_bitcoin_101 | 3af1b1e1b817d9676981f3c6c87d93064ac8febe | [
"MIT"
] | null | null | null | import base64
from bitcoin_101 import bitjson_dumps, bitjson_loads
import requests
class BitcoinClient:
def __init__(self):
btcd_auth_header = b'Basic ' + base64.b64encode(b'bitcoin:qwertyuiop')
self.btcd_headers = {'content-type': 'application/json', 'Authorization': btcd_auth_header}
def __... | 30.705882 | 99 | 0.59387 |
5282bca7fce8729741798cb0dce38a5acd071213 | 1,220 | py | Python | data/youtube/download.py | tagny/iLID | 38f5dcae0dc84fd9b78e170748aa38cd8f524c70 | [
"MIT"
] | 90 | 2016-02-19T12:37:20.000Z | 2022-02-25T19:52:46.000Z | data/youtube/download.py | vyas97/iLID | 4d124b76fdbc37fbafd12e860281a4bc3ddf87d9 | [
"MIT"
] | 7 | 2017-03-24T04:12:09.000Z | 2020-06-16T11:27:54.000Z | data/youtube/download.py | vyas97/iLID | 4d124b76fdbc37fbafd12e860281a4bc3ddf87d9 | [
"MIT"
] | 31 | 2016-02-01T12:52:51.000Z | 2021-08-16T04:27:59.000Z | import yaml
import subprocess
import os
def read_yaml(file_name):
with open(file_name, "r") as f:
return yaml.load(f)
def download(language, source, source_name, source_type):
output_path = "{0}/{1}".format(language, source_name)
if os.path.exists(output_path):
print "skipping {0} {1} because the target... | 35.882353 | 160 | 0.722131 |
5631814b4c9c0c56f06fb651305b7cf15ec952b4 | 2,906 | py | Python | tests/test_source_file/test_source_file.py | ethanio12345/OpenMC | 3b0c044974c59773dac4e3ce261a87e18fc53de5 | [
"MIT"
] | null | null | null | tests/test_source_file/test_source_file.py | ethanio12345/OpenMC | 3b0c044974c59773dac4e3ce261a87e18fc53de5 | [
"MIT"
] | null | null | null | tests/test_source_file/test_source_file.py | ethanio12345/OpenMC | 3b0c044974c59773dac4e3ce261a87e18fc53de5 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import glob
import os
import sys
sys.path.insert(0, os.pardir)
from testing_harness import *
settings1="""<?xml version="1.0"?>
<settings>
<state_point batches="10" />
<source_point separate="true" />
<eigenvalue>
<batches>10</batches>
<inactive>5</inactive>
<particles>1000</p... | 28.213592 | 80 | 0.593255 |
89749c3e40460646ee17cfadfc9ba17fc593a687 | 1,977 | py | Python | src/Graphing/image_to_plot.py | njanirudh/R-D-HBRS | 220777628406366179106069eb9ce211e50e7543 | [
"MIT"
] | 3 | 2019-08-27T22:00:56.000Z | 2020-04-15T06:31:39.000Z | src/Graphing/image_to_plot.py | njanirudh/R-D-HBRS | 220777628406366179106069eb9ce211e50e7543 | [
"MIT"
] | 1 | 2019-10-29T13:21:21.000Z | 2019-10-29T14:01:28.000Z | src/Graphing/image_to_plot.py | njanirudh/Research-Development-HBRS | 220777628406366179106069eb9ce211e50e7543 | [
"MIT"
] | null | null | null | from pylab import *
from mpl_toolkits.mplot3d import Axes3D
from matplotlib.cbook import get_sample_data
from matplotlib._png import read_png
import matplotlib.pyplot as plt
import numpy as np
import pandas
import pandas as pd
import sklearn.preprocessing as preproc
fig = plt.figure()
ax = fig.add_subplot(111, project... | 33.508475 | 112 | 0.679312 |
3b534eaeb07df4e83f6454fec30f2f280d0634c5 | 1,779 | py | Python | modules/m_wolframalpha.py | LunaNyan/Luna_Libertin_Discord_Bot | db7def99602b65b682a128430118e3941aabcd6e | [
"MIT"
] | 8 | 2019-08-17T17:30:10.000Z | 2021-07-21T01:59:32.000Z | modules/m_wolframalpha.py | LunaNyan/Luna_Libertin_Discord_Bot | db7def99602b65b682a128430118e3941aabcd6e | [
"MIT"
] | 2 | 2019-07-16T10:01:39.000Z | 2019-12-30T11:30:29.000Z | modules/m_wolframalpha.py | LunaNyan/Luna_Libertin_Discord_Bot | db7def99602b65b682a128430118e3941aabcd6e | [
"MIT"
] | 3 | 2019-08-20T22:43:16.000Z | 2020-07-13T23:24:08.000Z | import sys, requests, wolframalpha, xmltodict
if __name__=="__main__":
print("FATAL : Run this bot from right way.")
sys.exit(1)
client = ""
def load(conf):
global client
client = wolframalpha.Client(conf.get("wolframalpha", "appid"))
def wa_calc(query):
res = client.query(query)
answer = ... | 32.345455 | 110 | 0.611017 |
cb7d34d1a1eb767227b03d4c2d5f535f41f883fe | 4,143 | py | Python | google/bigtable/admin/v2/bigtable-admin-v2-py/google/cloud/bigtable_admin_v2/types/__init__.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 7 | 2021-02-21T10:39:41.000Z | 2021-12-07T07:31:28.000Z | google/bigtable/admin/v2/bigtable-admin-v2-py/google/cloud/bigtable_admin_v2/types/__init__.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 6 | 2021-02-02T23:46:11.000Z | 2021-11-15T01:46:02.000Z | google/bigtable/admin/v2/bigtable-admin-v2-py/google/cloud/bigtable_admin_v2/types/__init__.py | googleapis/googleapis-gen | d84824c78563d59b0e58d5664bfaa430e9ad7e7a | [
"Apache-2.0"
] | 4 | 2021-01-28T23:25:45.000Z | 2021-08-30T01:55:16.000Z | # -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 26.056604 | 74 | 0.732078 |
2b35e5686a7f62feaae4462a96f11f2cebcb570f | 323 | py | Python | tests/test_lyrics_prediction_file.py | castillogo/lyrics_project | 59855bfe91b5a41a68d52540a7ca6a8494a94ded | [
"MIT"
] | null | null | null | tests/test_lyrics_prediction_file.py | castillogo/lyrics_project | 59855bfe91b5a41a68d52540a7ca6a8494a94ded | [
"MIT"
] | 1 | 2021-11-15T17:50:49.000Z | 2021-11-15T17:50:49.000Z | tests/test_lyrics_prediction_file.py | castillogo/lyrics_project | 59855bfe91b5a41a68d52540a7ca6a8494a94ded | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Mar 16 15:59:40 2020
@author: casti
"""
import pytest
from lyrics_prediction_file import print_evaluations
Y_TEST = [1, 2, 3, 4, 5, 6, 7, 8, 9]
Y_PRED = [1, 2, 3, 4, 5, 6, 7, 8, 9]
def test_print_evaluations():
assert print_evaluations(Y_TEST, Y_PRED, 'Randomforest') >... | 20.1875 | 64 | 0.656347 |
3227f5ea7b7d29ea7e4a9ac76db7d798389a8570 | 4,052 | py | Python | render/render_depth.py | StefanieStoppel/pcn | 71b17791380798d349c18f96514099183d89836e | [
"MIT"
] | 9 | 2021-04-10T07:42:36.000Z | 2022-03-27T15:21:38.000Z | render/render_depth.py | StefanieStoppel/pcn | 71b17791380798d349c18f96514099183d89836e | [
"MIT"
] | null | null | null | render/render_depth.py | StefanieStoppel/pcn | 71b17791380798d349c18f96514099183d89836e | [
"MIT"
] | 2 | 2021-04-21T01:26:31.000Z | 2021-05-23T13:31:10.000Z | # Author: Wentao Yuan (wyuan1@cs.cmu.edu) 05/31/2018
import bpy
import mathutils
import numpy as np
import os
import sys
import time
# Usage: blender -b -P render_depth.py [ShapeNet directory] [model list] [output directory] [num scans per model]
def random_pose():
angle_x = np.random.uniform() * 2 * np.pi
... | 33.213115 | 113 | 0.598963 |
2f2ae01c5dc0c8dc36854cb4c64f4b985bf765eb | 783 | pyde | Python | mode/examples/Topics/Simulate/MultipleParticleSystems/MultipleParticleSystems.pyde | katnino/processing.py | ff6450a6606908a014ce795340c06c8f6d90023d | [
"Apache-2.0"
] | 4 | 2016-08-09T14:14:36.000Z | 2021-12-10T07:51:35.000Z | mode/examples/Topics/Simulate/MultipleParticleSystems/MultipleParticleSystems.pyde | katnino/processing.py | ff6450a6606908a014ce795340c06c8f6d90023d | [
"Apache-2.0"
] | null | null | null | mode/examples/Topics/Simulate/MultipleParticleSystems/MultipleParticleSystems.pyde | katnino/processing.py | ff6450a6606908a014ce795340c06c8f6d90023d | [
"Apache-2.0"
] | null | null | null | """
Multiple Particle Systems
by Daniel Shiffman.
Click the mouse to generate a burst of particles
at mouse location.
Each burst is one instance of a particle system
with Particles and CrazyParticles (a subclass of Particle).
Note use of Inheritance and Polymorphism here.
"""
from crazy_particle import CrazyParticle... | 20.076923 | 74 | 0.704981 |
7642637d3c29176328f3ca35a05a393c8d4bf9f7 | 7,369 | py | Python | app.py | Rodrigoh2702/calendarizaciones | e1e9f1fac0a1a53da3a833dd3e94261a5c350989 | [
"MIT"
] | null | null | null | app.py | Rodrigoh2702/calendarizaciones | e1e9f1fac0a1a53da3a833dd3e94261a5c350989 | [
"MIT"
] | null | null | null | app.py | Rodrigoh2702/calendarizaciones | e1e9f1fac0a1a53da3a833dd3e94261a5c350989 | [
"MIT"
] | null | null | null | import tkinter as tk
from backend.proceso import Proceso
from backend.algo.srtf import SRTF
import copy
class App(tk.Tk):
def __init__(self, *args, **kwargs):
tk.Tk.__init__(self, *args, **kwargs)
container = tk.Frame(self)
container.pack(side="top", fill="both", expand=True)
con... | 36.300493 | 137 | 0.645135 |
a18ffc222cc5338097804fe2d91f57fd741d28e0 | 2,391 | py | Python | tests/contrib/django/test_connection.py | vijayperiasamy-eb/dd-trace-py | 2b0d396fc7f76582e8ffedff48933245a77ebaf2 | [
"BSD-3-Clause"
] | null | null | null | tests/contrib/django/test_connection.py | vijayperiasamy-eb/dd-trace-py | 2b0d396fc7f76582e8ffedff48933245a77ebaf2 | [
"BSD-3-Clause"
] | null | null | null | tests/contrib/django/test_connection.py | vijayperiasamy-eb/dd-trace-py | 2b0d396fc7f76582e8ffedff48933245a77ebaf2 | [
"BSD-3-Clause"
] | 1 | 2021-02-11T10:20:14.000Z | 2021-02-11T10:20:14.000Z | import mock
import time
# 3rd party
from django.contrib.auth.models import User
from ddtrace.contrib.django.conf import settings
from ddtrace.contrib.django.patch import apply_django_patches, connections
# testing
from .utils import DjangoTraceTestCase, override_ddtrace_settings
class DjangoConnectionTest(DjangoTr... | 32.753425 | 83 | 0.658302 |
c1004b9d5a10d906d787d22a81489d2591cc6768 | 18,652 | py | Python | src/transformers/convert_graph_to_onnx.py | kct22aws/transformers | 04cddaf402591e9f5bdb5f116a111d829a0ce4f4 | [
"Apache-2.0"
] | 5 | 2020-10-30T13:07:02.000Z | 2021-03-17T12:18:30.000Z | src/transformers/convert_graph_to_onnx.py | kct22aws/transformers | 04cddaf402591e9f5bdb5f116a111d829a0ce4f4 | [
"Apache-2.0"
] | null | null | null | src/transformers/convert_graph_to_onnx.py | kct22aws/transformers | 04cddaf402591e9f5bdb5f116a111d829a0ce4f4 | [
"Apache-2.0"
] | 1 | 2020-08-06T05:23:13.000Z | 2020-08-06T05:23:13.000Z | # Copyright 2020 The HuggingFace Team. 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 applicabl... | 36.788955 | 119 | 0.66958 |
08dafe6011e7ec9c20106396fe2461e7f4b7f55b | 5,061 | py | Python | disentanglement_lib/evaluation/metrics/local_modularity_test.py | travers-rhodes/disentanglement_lib | 73d4b995e88efdd5ffbe98a72e48a620c58f4dc7 | [
"Apache-2.0"
] | null | null | null | disentanglement_lib/evaluation/metrics/local_modularity_test.py | travers-rhodes/disentanglement_lib | 73d4b995e88efdd5ffbe98a72e48a620c58f4dc7 | [
"Apache-2.0"
] | null | null | null | disentanglement_lib/evaluation/metrics/local_modularity_test.py | travers-rhodes/disentanglement_lib | 73d4b995e88efdd5ffbe98a72e48a620c58f4dc7 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2018 The DisentanglementLib Authors. All rights reserved.
# Copyright 2021 Travers Rhodes. 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
#
... | 43.25641 | 84 | 0.753013 |
ccf2161242a1d75bd20b4a0b7769d6579c86d46e | 774 | py | Python | trigger/pulseRatioWOnoise.py | greatofdream/pmtTest | d8f1fc8e94c3999516b6eef01e228311e6135053 | [
"MIT"
] | null | null | null | trigger/pulseRatioWOnoise.py | greatofdream/pmtTest | d8f1fc8e94c3999516b6eef01e228311e6135053 | [
"MIT"
] | null | null | null | trigger/pulseRatioWOnoise.py | greatofdream/pmtTest | d8f1fc8e94c3999516b6eef01e228311e6135053 | [
"MIT"
] | null | null | null | import numpy as np, h5py
import argparse
if __name__=="__main__":
psr = argparse.ArgumentParser()
psr.add_argument('-i', dest='ipt', help='input text file')
psr.add_argument('-o', dest='opt', help='output text file')
psr.add_argument('--ref', help='the reference of noise')
args = psr.parse_args()
... | 48.375 | 124 | 0.614987 |
7121561ed9035de74e1c98ca82d378979367c3eb | 1,062 | py | Python | kubernetes_asyncio/test/test_v1beta1_network_policy_spec.py | hubo1016/kubernetes_asyncio | d57e9e9be11f6789e1ce8d5b161acb64d29acf35 | [
"Apache-2.0"
] | 1 | 2021-01-13T09:28:57.000Z | 2021-01-13T09:28:57.000Z | kubernetes_asyncio/test/test_v1beta1_network_policy_spec.py | hubo1016/kubernetes_asyncio | d57e9e9be11f6789e1ce8d5b161acb64d29acf35 | [
"Apache-2.0"
] | null | null | null | kubernetes_asyncio/test/test_v1beta1_network_policy_spec.py | hubo1016/kubernetes_asyncio | d57e9e9be11f6789e1ce8d5b161acb64d29acf35 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
Kubernetes
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: v1.12.4
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import u... | 25.902439 | 119 | 0.741055 |
aabc6334a63c35c9447a1544824aaf83e3382dcb | 14,202 | py | Python | requests_oauthlib/oauth2_session.py | Huddle/requests-oauthlib | 503146ae39c1c050abf39d2fd5a43595e621cdf7 | [
"0BSD"
] | null | null | null | requests_oauthlib/oauth2_session.py | Huddle/requests-oauthlib | 503146ae39c1c050abf39d2fd5a43595e621cdf7 | [
"0BSD"
] | null | null | null | requests_oauthlib/oauth2_session.py | Huddle/requests-oauthlib | 503146ae39c1c050abf39d2fd5a43595e621cdf7 | [
"0BSD"
] | null | null | null | from __future__ import unicode_literals
import logging
from oauthlib.common import generate_token, urldecode
from oauthlib.oauth2 import WebApplicationClient, InsecureTransportError
from oauthlib.oauth2 import TokenExpiredError, is_secure_transport
import requests
log = logging.getLogger(__name__)
class TokenUpdat... | 47.182724 | 87 | 0.623715 |
0299b702b90ae551cb69cf100ae411e60e0cc0f1 | 34,917 | py | Python | dis_snek/models/snek/application_commands.py | ShardlessBun/Dis-Snek | fd15b06c531e82a9682a7b139deec0df7b2aa2d0 | [
"MIT"
] | null | null | null | dis_snek/models/snek/application_commands.py | ShardlessBun/Dis-Snek | fd15b06c531e82a9682a7b139deec0df7b2aa2d0 | [
"MIT"
] | null | null | null | dis_snek/models/snek/application_commands.py | ShardlessBun/Dis-Snek | fd15b06c531e82a9682a7b139deec0df7b2aa2d0 | [
"MIT"
] | null | null | null | import asyncio
import inspect
import logging
import re
from enum import IntEnum
from typing import TYPE_CHECKING, Callable, Coroutine, Dict, List, Union, Optional, Any
import attr
import dis_snek.models.discord.channel as channel
from dis_snek.client.const import (
GLOBAL_SCOPE,
CONTEXT_MENU_NAME_LENGTH,
... | 36.793467 | 134 | 0.63482 |
e0fbe8e2486effc235dfc7636d289fd16a8fef33 | 96,271 | py | Python | tensorflow/lite/python/lite.py | henriwoodcock/tensorflow | d9ad2a9f62ada961b26d09c8f4856cb0c94d9f8a | [
"Apache-2.0"
] | null | null | null | tensorflow/lite/python/lite.py | henriwoodcock/tensorflow | d9ad2a9f62ada961b26d09c8f4856cb0c94d9f8a | [
"Apache-2.0"
] | null | null | null | tensorflow/lite/python/lite.py | henriwoodcock/tensorflow | d9ad2a9f62ada961b26d09c8f4856cb0c94d9f8a | [
"Apache-2.0"
] | 1 | 2021-04-20T18:26:18.000Z | 2021-04-20T18:26:18.000Z | # Lint as: python2, python3
# 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
#
... | 42.150175 | 125 | 0.702745 |
c74f62328b4f6dca2b8b49f8233d22e7fa310dab | 913 | py | Python | object.py | ZhongXinWang/python | 4cf3ecdc9d9e811e777c6d8408a8319097cfdec3 | [
"Apache-2.0"
] | null | null | null | object.py | ZhongXinWang/python | 4cf3ecdc9d9e811e777c6d8408a8319097cfdec3 | [
"Apache-2.0"
] | null | null | null | object.py | ZhongXinWang/python | 4cf3ecdc9d9e811e777c6d8408a8319097cfdec3 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#Author:Winston.Wang
print('---------------面向对象------------------')
class Person(object):
def __init__(self,name,score):
self.name=name
self.__score = score
def toString(self):
return self.name,":",self.__score
def setScore(self,score):
self.__score = score
clas... | 21.232558 | 46 | 0.619934 |
f6fa341dbe765b78addfacf64b3a9795c95f2eff | 6,973 | py | Python | sqlserver/tests/test_connection.py | ganeshkumarsv/integrations-core | 55cce423d171a65f87760ff903214af7a0e2a4e4 | [
"BSD-3-Clause"
] | null | null | null | sqlserver/tests/test_connection.py | ganeshkumarsv/integrations-core | 55cce423d171a65f87760ff903214af7a0e2a4e4 | [
"BSD-3-Clause"
] | null | null | null | sqlserver/tests/test_connection.py | ganeshkumarsv/integrations-core | 55cce423d171a65f87760ff903214af7a0e2a4e4 | [
"BSD-3-Clause"
] | null | null | null | # (C) Datadog, Inc. 2020-present
# All rights reserved
# Licensed under a 3-clause BSD style license (see LICENSE)
import re
import mock
import pyodbc
import pytest
from datadog_checks.base import ConfigurationError
from datadog_checks.sqlserver import SQLServer
from datadog_checks.sqlserver.connection import Connect... | 43.855346 | 106 | 0.687222 |
980ad55bf6fe6c9339d537913ea75a0ff7664e85 | 36 | py | Python | tests/__init__.py | AaronLaw/crypto | 92fb012daf1a770a8481522ef3c683494696f227 | [
"MIT"
] | null | null | null | tests/__init__.py | AaronLaw/crypto | 92fb012daf1a770a8481522ef3c683494696f227 | [
"MIT"
] | null | null | null | tests/__init__.py | AaronLaw/crypto | 92fb012daf1a770a8481522ef3c683494696f227 | [
"MIT"
] | null | null | null | """Unit test package for crypto."""
| 18 | 35 | 0.666667 |
61603c37f778f56256190b193c8f02b80e005c6b | 85,116 | py | Python | brian2/spatialneuron/morphology.py | Kyzarok/SNNProject | 14b555e221dbdd5100cb4f6333e49030423462ea | [
"BSD-2-Clause"
] | 2 | 2020-03-20T13:30:19.000Z | 2020-03-20T13:30:57.000Z | brian2/spatialneuron/morphology.py | deep-introspection/brian2 | 6c50e3a22d0e83a2b75c5bcf6f7c1d889311fca1 | [
"BSD-2-Clause"
] | null | null | null | brian2/spatialneuron/morphology.py | deep-introspection/brian2 | 6c50e3a22d0e83a2b75c5bcf6f7c1d889311fca1 | [
"BSD-2-Clause"
] | null | null | null | '''
Neuronal morphology module.
This module defines classes to load and build neuronal morphologies.
'''
import abc
import numbers
from abc import abstractmethod
from collections import OrderedDict, defaultdict, namedtuple
import os
from brian2.units.allunits import meter
from brian2.utils.logger import get_logger
fro... | 38.323278 | 105 | 0.569423 |
5846619656455af3a1c66349f2a5d9d0ac0ea4e1 | 377 | py | Python | modules/time/timedelta.py | PraghadeshManivannan/Python | 7a42269c5f8cfd9178f1ed39ffc2afea1dd6c5aa | [
"MIT"
] | null | null | null | modules/time/timedelta.py | PraghadeshManivannan/Python | 7a42269c5f8cfd9178f1ed39ffc2afea1dd6c5aa | [
"MIT"
] | null | null | null | modules/time/timedelta.py | PraghadeshManivannan/Python | 7a42269c5f8cfd9178f1ed39ffc2afea1dd6c5aa | [
"MIT"
] | null | null | null | from datetime import time,date,timedelta
time_1 = time()
print('Time_1: {}'.format(time_1))
time_2 = time(hour=10,minute=45,second=47,microsecond=123458)
print('Time_2: {}'.format(time_2))
today = date.today()
outbreak = date(2002,11,10)
daysSinceOutbreak = today - outbreak
print(daysSinceOutbreak)
tom... | 25.133333 | 62 | 0.724138 |
b4c657c572bc2f244c70fb665fc34dd450042729 | 185 | py | Python | PythonMundoDois/ex061.py | HendrylNogueira/CursoPython3 | c3d9d4e2a27312b83d744aaf0f8d01b26e6faf4f | [
"MIT"
] | null | null | null | PythonMundoDois/ex061.py | HendrylNogueira/CursoPython3 | c3d9d4e2a27312b83d744aaf0f8d01b26e6faf4f | [
"MIT"
] | null | null | null | PythonMundoDois/ex061.py | HendrylNogueira/CursoPython3 | c3d9d4e2a27312b83d744aaf0f8d01b26e6faf4f | [
"MIT"
] | null | null | null | termo = int(input('Digite o termo: '))
razao = int(input('Digite a razão: '))
cont = 0
while cont <= 10:
print(f'{termo} -> ', end='')
termo += razao
cont +=1
print('Fim.')
| 20.555556 | 38 | 0.556757 |
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