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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1c0ef7fb9b39c67ee88388d3eed8af31768e4685 | 248 | py | Python | examples/plaintext_client.py | datalogics/flask-oauthprovider | 10aedbf27c1f3bee845a958057588de2ccf4bf85 | [
"BSD-3-Clause"
] | 1 | 2015-12-05T22:04:01.000Z | 2015-12-05T22:04:01.000Z | examples/plaintext_client.py | ryepdx/flask-oauthprovider | cf7e7779071b45cb5c2f8610349d550548410f31 | [
"BSD-3-Clause"
] | 1 | 2021-08-04T12:55:20.000Z | 2021-08-04T12:55:20.000Z | examples/plaintext_client.py | ryepdx/flask-oauthprovider | cf7e7779071b45cb5c2f8610349d550548410f31 | [
"BSD-3-Clause"
] | 1 | 2021-08-04T12:54:06.000Z | 2021-08-04T12:54:06.000Z | from client import app
app.config["OAUTH_CREDENTIALS"] = {
u"client_secret": u"WgzyivpCPl7WuaxuSBoCCPv5UP9iBV",
u"signature_method": u"PLAINTEXT"
}
app.config["CLIENT_KEY"] = u"06NvHxcvImyIBiXPFsQA6GWJXjC8UU"
app.run(debug=True, port=5001)
| 31 | 60 | 0.766129 | from client import app
app.config["OAUTH_CREDENTIALS"] = {
u"client_secret": u"WgzyivpCPl7WuaxuSBoCCPv5UP9iBV",
u"signature_method": u"PLAINTEXT"
}
app.config["CLIENT_KEY"] = u"06NvHxcvImyIBiXPFsQA6GWJXjC8UU"
app.run(debug=True, port=5001)
| true | true |
1c0ef87a26f6c85bb16b79b6ced5637164ba85d9 | 1,141 | py | Python | xlsxwriter/test/comparison/test_page_breaks02.py | timgates42/XlsxWriter | 129044ed821de67895b4562c6b71f90eba5be6b4 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | xlsxwriter/test/comparison/test_page_breaks02.py | timgates42/XlsxWriter | 129044ed821de67895b4562c6b71f90eba5be6b4 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | xlsxwriter/test/comparison/test_page_breaks02.py | timgates42/XlsxWriter | 129044ed821de67895b4562c6b71f90eba5be6b4 | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | ###############################################################################
#
# Tests for XlsxWriter.
#
# Copyright (c), 2013-2020, John McNamara, jmcnamara@cpan.org
#
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompareXLSXFiles(ExcelComparisonTest):
"""... | 27.829268 | 91 | 0.594216 |
from ..excel_comparsion_test import ExcelComparisonTest
from ...workbook import Workbook
class TestCompareXLSXFiles(ExcelComparisonTest):
def setUp(self):
self.set_filename('page_breaks02.xlsx')
self.ignore_files = ['xl/printerSettings/printerSettings1.bin',
'xl/wo... | true | true |
1c0ef8808a8cf94e873c35150e8f2636de24526f | 4,996 | py | Python | salt/modules/dnsmasq.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 1 | 2020-10-20T03:35:34.000Z | 2020-10-20T03:35:34.000Z | salt/modules/dnsmasq.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | 1 | 2020-10-21T21:38:49.000Z | 2020-10-21T21:38:49.000Z | salt/modules/dnsmasq.py | preoctopus/salt | aceaaa0e2f2f2ff29a694393bd82bba0d88fa44d | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Module for managing dnsmasq
'''
from __future__ import absolute_import
# Import salt libs
import salt.utils
# Import python libs
import os
import logging
log = logging.getLogger(__name__)
def __virtual__():
'''
Only work on POSIX-like systems.
'''
if salt.utils.is_window... | 31.031056 | 103 | 0.558046 | from __future__ import absolute_import
import salt.utils
import os
import logging
log = logging.getLogger(__name__)
def __virtual__():
if salt.utils.is_windows():
return (False, 'dnsmasq execution module cannot be loaded: only works on non-Windows systems.')
return True
def version():
cmd = '... | true | true |
1c0ef8db89d67d3aad8834feddd6245d50e699df | 9,988 | py | Python | DQMOffline/EGamma/python/electronDataDiscovery.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | DQMOffline/EGamma/python/electronDataDiscovery.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null | DQMOffline/EGamma/python/electronDataDiscovery.py | nistefan/cmssw | ea13af97f7f2117a4f590a5e654e06ecd9825a5b | [
"Apache-2.0"
] | null | null | null |
#===================================================================
# So to get the list of input files. One must call :
# search(), to get the list of primary files
# search2(), to get the list of eventual secondary files
#
# The selection of files is configured thanks to shell
# environment variables:
#
# ... | 36.452555 | 131 | 0.587405 |
import os, sys, re, das_client
if 'DD_SOURCE' not in os.environ:
os.environ['DD_SOURCE'] = 'das'
if 'DD_RELEASE' not in os.environ:
os.environ['DD_RELEASE'] = ''
if 'DD_SAMPLE' not in os.environ:
os.environ['DD_SAMPLE'] = ''
if 'DD_COND' not in os.environ:
os.environ['DD_COND'] = ''
if 'DD_TIER' not in os.en... | false | true |
1c0ef94f179354bf7b5a0babda0b9b52294120db | 7,964 | py | Python | docs/conf.py | hjwp/pytest_django | e6fbb0351fee80aa4b562687434c96601c4c2e25 | [
"BSD-3-Clause"
] | 1 | 2019-05-17T07:37:33.000Z | 2019-05-17T07:37:33.000Z | docs/conf.py | hjwp/pytest_django | e6fbb0351fee80aa4b562687434c96601c4c2e25 | [
"BSD-3-Clause"
] | null | null | null | docs/conf.py | hjwp/pytest_django | e6fbb0351fee80aa4b562687434c96601c4c2e25 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# pytest-django documentation build configuration file, created by
# sphinx-quickstart on Tue May 1 10:12:50 2012.
#
# This file is execfile()d with the current directory set to its containing dir.
#
# Note that not all possible configuration values are present in this
# autogenerated file.
#... | 32.373984 | 80 | 0.716349 |
import sys, os
extensions = ['sphinx.ext.doctest']
templates_path = ['_templates']
source_suffix = '.rst'
master_doc = 'index'
project = u'pytest-django'
copyright = u'2012, Andreas Pelme'
# |version| and |release|, also used in various other places throughout the
# built documents.
#
# The short X.Y version... | true | true |
1c0efa0fc1b85979cc682b9c7c77ce7d3f139e5d | 5,414 | py | Python | pirates/leveleditor/worldData/CaveAIsland.py | Willy5s/Pirates-Online-Rewritten | 7434cf98d9b7c837d57c181e5dabd02ddf98acb7 | [
"BSD-3-Clause"
] | 81 | 2018-04-08T18:14:24.000Z | 2022-01-11T07:22:15.000Z | pirates/leveleditor/worldData/CaveAIsland.py | Willy5s/Pirates-Online-Rewritten | 7434cf98d9b7c837d57c181e5dabd02ddf98acb7 | [
"BSD-3-Clause"
] | 4 | 2018-09-13T20:41:22.000Z | 2022-01-08T06:57:00.000Z | pirates/leveleditor/worldData/CaveAIsland.py | Willy5s/Pirates-Online-Rewritten | 7434cf98d9b7c837d57c181e5dabd02ddf98acb7 | [
"BSD-3-Clause"
] | 26 | 2018-05-26T12:49:27.000Z | 2021-09-11T09:11:59.000Z | from pandac.PandaModules import Point3, VBase3
objectStruct = {'Locator Links': [['1172185231.81sdnaik', '1172184979.25sdnaik', 'Bi-directional'], ['1172185231.81sdnaik0', '1172185213.67sdnaik', 'Bi-directional']],'Objects': {'1172100047.36sdnaik': {'Type': 'Island','Name': 'CaveAIsland','Objects': {'1172184979.25sdnai... | 2,707 | 5,367 | 0.666236 | from pandac.PandaModules import Point3, VBase3
objectStruct = {'Locator Links': [['1172185231.81sdnaik', '1172184979.25sdnaik', 'Bi-directional'], ['1172185231.81sdnaik0', '1172185213.67sdnaik', 'Bi-directional']],'Objects': {'1172100047.36sdnaik': {'Type': 'Island','Name': 'CaveAIsland','Objects': {'1172184979.25sdnai... | true | true |
1c0efaaf49613ce6b68ed186f3eb28724c860c23 | 2,563 | py | Python | Deep Learning using Tensorflow Keras/Churn-Model-using-ANN/ANN - Churn Modelling.py | Storiesbyharshit/Deep-Learning | 2464e3354c8c2c99237d76b47264d509cc1a7cef | [
"MIT"
] | 16 | 2020-07-07T11:16:21.000Z | 2022-03-18T08:53:49.000Z | Deep Learning using Tensorflow Keras/Churn-Model-using-ANN/ANN - Churn Modelling.py | Storiesbyharshit/Deep-Learning | 2464e3354c8c2c99237d76b47264d509cc1a7cef | [
"MIT"
] | 9 | 2020-11-13T19:02:31.000Z | 2022-02-10T02:27:10.000Z | Deep Learning using Tensorflow Keras/Churn-Model-using-ANN/ANN - Churn Modelling.py | Storiesbyharshit/Deep-Learning | 2464e3354c8c2c99237d76b47264d509cc1a7cef | [
"MIT"
] | 10 | 2020-07-07T09:39:01.000Z | 2021-04-30T04:22:30.000Z |
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import warnings
warnings.filterwarnings('ignore')
warnings.filterwarnings("ignore", category=DeprecationWarning)
# Importing the datasetm
dataset = pd.read_csv(r'C:\Users\IDEAPAD 320\Desktop\dataset... | 16.861842 | 100 | 0.702692 |
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import warnings
warnings.filterwarnings('ignore')
warnings.filterwarnings("ignore", category=DeprecationWarning)
dataset = pd.read_csv(r'C:\Users\IDEAPAD 320\Desktop\datasets\Churn_Modelling.csv')
X = dataset.iloc[:, 3:13].val... | true | true |
1c0efafd14d4e2acfd156c9a4719bda776586c9a | 44,275 | py | Python | qa/rpc-tests/p2p-compactblocks.py | Bitcoin-OLD/Bitcoin-OLD | 16627f390aa418a99103843f9d94c48931fad826 | [
"MIT"
] | null | null | null | qa/rpc-tests/p2p-compactblocks.py | Bitcoin-OLD/Bitcoin-OLD | 16627f390aa418a99103843f9d94c48931fad826 | [
"MIT"
] | null | null | null | qa/rpc-tests/p2p-compactblocks.py | Bitcoin-OLD/Bitcoin-OLD | 16627f390aa418a99103843f9d94c48931fad826 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2016 The Bitcoinold Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
from test_framework.mininode import *
from test_framework.test_framework import BitcoinoldTestFramework
fro... | 45.550412 | 124 | 0.666403 |
from test_framework.mininode import *
from test_framework.test_framework import BitcoinoldTestFramework
from test_framework.util import *
from test_framework.blocktools import create_block, create_coinbase, add_witness_commitment
from test_framework.siphash import siphash256
from test_framework.script import CScript, ... | true | true |
1c0efbb5cc8e5315b1f479d5fae5fada261aa1eb | 3,998 | py | Python | modules/organisation_evaluation.py | jquku/Matrix-Chatbot | 762b0ee3af0779284b144f5642f0c0877ed5ffcb | [
"MIT"
] | 1 | 2021-10-02T08:21:34.000Z | 2021-10-02T08:21:34.000Z | modules/organisation_evaluation.py | jquku/Matrix-Chatbot | 762b0ee3af0779284b144f5642f0c0877ed5ffcb | [
"MIT"
] | null | null | null | modules/organisation_evaluation.py | jquku/Matrix-Chatbot | 762b0ee3af0779284b144f5642f0c0877ed5ffcb | [
"MIT"
] | null | null | null | import sys
sys.path.append("./../")
from services.database_service import add_organisation_entry, get_domain_description_id
from nlp import language_processing
'''
analyze simple text documents and store rules into data basis of db
text document consists of topic + response
'''
def add_organisation_document():
... | 42.989247 | 117 | 0.655078 | import sys
sys.path.append("./../")
from services.database_service import add_organisation_entry, get_domain_description_id
from nlp import language_processing
def add_organisation_document():
module = "<module name>" module = module.lower()
document_name = "../knowledge_domains/organisation.txt"
... | true | true |
1c0efbcce947f1b71d31fcef247f22c094c7db95 | 7,378 | py | Python | aif360/datasets/standard_dataset.py | mariaborbones/AIF360 | 05b3d155aa89a1b173ac3f1ec42110a899710cf8 | [
"Apache-2.0"
] | null | null | null | aif360/datasets/standard_dataset.py | mariaborbones/AIF360 | 05b3d155aa89a1b173ac3f1ec42110a899710cf8 | [
"Apache-2.0"
] | null | null | null | aif360/datasets/standard_dataset.py | mariaborbones/AIF360 | 05b3d155aa89a1b173ac3f1ec42110a899710cf8 | [
"Apache-2.0"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from logging import warn
import numpy as np
import pandas as pd
from aif360.datasets import BinaryLabelDataset
class StandardDataset(BinaryLabelDataset):
"""Base ... | 47.294872 | 88 | 0.640417 | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from logging import warn
import numpy as np
import pandas as pd
from aif360.datasets import BinaryLabelDataset
class StandardDataset(BinaryLabelDataset):
def __i... | true | true |
1c0efc73915ff33432707082d14f1991f2e12072 | 4,080 | py | Python | qiime2/core/testing/method.py | lizgehret/qiime2 | 3906f67c70a1321e99e7fc59e79550c2432a8cee | [
"BSD-3-Clause"
] | null | null | null | qiime2/core/testing/method.py | lizgehret/qiime2 | 3906f67c70a1321e99e7fc59e79550c2432a8cee | [
"BSD-3-Clause"
] | null | null | null | qiime2/core/testing/method.py | lizgehret/qiime2 | 3906f67c70a1321e99e7fc59e79550c2432a8cee | [
"BSD-3-Clause"
] | null | null | null | # ----------------------------------------------------------------------------
# Copyright (c) 2016-2022, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# ------------------------------------------------... | 30 | 78 | 0.609804 |
import qiime2
def concatenate_ints(ints1: list, ints2: list, ints3: list, int1: int,
int2: int) -> list:
return ints1 + ints2 + ints3 + [int1] + [int2]
def split_ints(ints: list) -> (list, list):
middle = int(len(ints) / 2)
left = ints[:middle]
right = ints[middle:]
return ... | true | true |
1c0efd3c2a5f82f3c5591aab2b14695d94b27a68 | 926 | py | Python | Week 7/id_510/bit/Leetcode_191_510.py | larryRishi/algorithm004-05 | e60d0b1176acd32a9184b215e36d4122ba0b6263 | [
"Apache-2.0"
] | 1 | 2019-10-12T06:48:45.000Z | 2019-10-12T06:48:45.000Z | Week 7/id_510/bit/Leetcode_191_510.py | larryRishi/algorithm004-05 | e60d0b1176acd32a9184b215e36d4122ba0b6263 | [
"Apache-2.0"
] | 1 | 2019-12-01T10:02:03.000Z | 2019-12-01T10:02:03.000Z | Week 7/id_510/bit/Leetcode_191_510.py | larryRishi/algorithm004-05 | e60d0b1176acd32a9184b215e36d4122ba0b6263 | [
"Apache-2.0"
] | null | null | null | """
编写一个函数，输入是一个无符号整数，返回其二进制表达式中数字位数为 ‘1’ 的个数（也被称为汉明重量）。
示例 1：
输入：00000000000000000000000000001011
输出：3
解释：输入的二进制串 00000000000000000000000000001011 中，共有三位为 '1'。
示例 2：
输入：00000000000000000000000010000000
输出：1
解释：输入的二进制串 00000000000000000000000010000000 中，共有一位为 '1'。
示例 3：
输入：11111111111111111111111111111101
输出：31
... | 19.702128 | 101 | 0.718143 | from typing import List
class Solution:
def hammingWeight(self, n: int) -> int:
ans, MASK = 0, 1
for i in range(32):
if n & MASK:
ans += 1
MASK <<= 1
return ans
print(Solution().hammingWeight(3))
| true | true |
1c0efd899b19ac6b4c58d36ae13cbb85e0fdcc87 | 10,282 | py | Python | ner_s2s/ner_estimator/algorithms/model.py | shfshf/ner_s2s | a04311310bddf396b551969fd1e63fdb3fc2ca0b | [
"Apache-2.0"
] | 2 | 2020-08-26T06:52:46.000Z | 2021-04-26T12:09:58.000Z | ner_s2s/ner_estimator/algorithms/model.py | shfshf/ner_s2s | a04311310bddf396b551969fd1e63fdb3fc2ca0b | [
"Apache-2.0"
] | 6 | 2020-09-26T00:33:08.000Z | 2022-02-10T00:34:52.000Z | ner_s2s/ner_estimator/algorithms/model.py | shfshf/ner_s2s | a04311310bddf396b551969fd1e63fdb3fc2ca0b | [
"Apache-2.0"
] | 2 | 2020-04-20T14:44:26.000Z | 2020-08-26T06:52:45.000Z | from pathlib import Path
import tensorflow as tf
import numpy as np
from ner_s2s.metrics import precision, recall, f1, correct_rate
class Model(object):
@classmethod
def default_params(cls):
return {}
@classmethod
def get_model_name(cls):
return cls.__name__
@classmethod
def... | 35.212329 | 123 | 0.606886 | from pathlib import Path
import tensorflow as tf
import numpy as np
from ner_s2s.metrics import precision, recall, f1, correct_rate
class Model(object):
@classmethod
def default_params(cls):
return {}
@classmethod
def get_model_name(cls):
return cls.__name__
@classmethod
def... | true | true |
1c0efe8777dfb85d4346e1f0b2f75afcab6995d2 | 199,111 | py | Python | leetcode/medium/Gas_Station.py | shhuan/algorithms | 2830c7e2ada8dfd3dcdda7c06846116d4f944a27 | [
"MIT"
] | null | null | null | leetcode/medium/Gas_Station.py | shhuan/algorithms | 2830c7e2ada8dfd3dcdda7c06846116d4f944a27 | [
"MIT"
] | null | null | null | leetcode/medium/Gas_Station.py | shhuan/algorithms | 2830c7e2ada8dfd3dcdda7c06846116d4f944a27 | [
"MIT"
] | 1 | 2022-03-09T04:52:55.000Z | 2022-03-09T04:52:55.000Z | # -*- coding: utf-8 -*-
"""
created by huash06 at 2015-04-14 10:18
There are N gas stations along a circular route, where the amount of gas at station i is gas[i].
You have a car with an unlimited gas tank and it costs cost[i] of gas to travel from station i
to its next station (i+1). You begin the journey with an e... | 1,442.833333 | 97,822 | 0.789791 |
__author__ = 'huash06'
import sys
import os
class Solution:
def canCompleteCircuit(self, gas, cost):
if not gas:
return False
r = 0
for si in range(len(gas)):
r = gas[si]
complete = True
for st in range(len(gas)):
... | true | true |
1c0eff00d552431158f068aa2a8955f705aede1e | 2,700 | py | Python | test/torchaudio_unittest/transforms/kaldi_compatibility_impl.py | jhurt/audio | 16de2b5b791bacfa8fb65b6fec3062d2e71fd725 | [
"BSD-2-Clause"
] | null | null | null | test/torchaudio_unittest/transforms/kaldi_compatibility_impl.py | jhurt/audio | 16de2b5b791bacfa8fb65b6fec3062d2e71fd725 | [
"BSD-2-Clause"
] | null | null | null | test/torchaudio_unittest/transforms/kaldi_compatibility_impl.py | jhurt/audio | 16de2b5b791bacfa8fb65b6fec3062d2e71fd725 | [
"BSD-2-Clause"
] | null | null | null | """Test suites for checking numerical compatibility against Kaldi"""
import torchaudio.compliance.kaldi
from parameterized import parameterized
from torchaudio_unittest.common_utils import (
TestBaseMixin,
TempDirMixin,
load_params,
skipIfNoExec,
get_asset_path,
load_wav,
)
from torchaudio_unit... | 48.214286 | 99 | 0.707407 | import torchaudio.compliance.kaldi
from parameterized import parameterized
from torchaudio_unittest.common_utils import (
TestBaseMixin,
TempDirMixin,
load_params,
skipIfNoExec,
get_asset_path,
load_wav,
)
from torchaudio_unittest.common_utils.kaldi_utils import (
convert_args,
run_kald... | true | true |
1c0effbb82847fe6525611a1d14e888b05d00b57 | 1,072 | py | Python | calculator/calculations.py | vyahello/terminal-calculator | 4eab9065e70235bff6a6e67b7019c15d1a6dfe29 | [
"MIT"
] | null | null | null | calculator/calculations.py | vyahello/terminal-calculator | 4eab9065e70235bff6a6e67b7019c15d1a6dfe29 | [
"MIT"
] | null | null | null | calculator/calculations.py | vyahello/terminal-calculator | 4eab9065e70235bff6a6e67b7019c15d1a6dfe29 | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from argparse import Namespace
from typing import Callable, List
from calculator.calculators import BasicCalculator, Calculator
class Calculation(ABC):
"""Represent abstraction of calculation."""
@abstractmethod
def start(self) -> None:
pass
class BasicCalcul... | 34.580645 | 109 | 0.698694 | from abc import ABC, abstractmethod
from argparse import Namespace
from typing import Callable, List
from calculator.calculators import BasicCalculator, Calculator
class Calculation(ABC):
@abstractmethod
def start(self) -> None:
pass
class BasicCalculation(Calculation):
def __init__(self, oper... | true | true |
1c0f00ce9e681ed6bafdf3a767936a5ad0e13af9 | 531 | py | Python | variable_and_data_type/boolean_demo/some_values_are_false.py | pysga1996/python-basic-programming | 5fe817986fbef2649b4b03955f07b59d2a2035d8 | [
"MIT"
] | null | null | null | variable_and_data_type/boolean_demo/some_values_are_false.py | pysga1996/python-basic-programming | 5fe817986fbef2649b4b03955f07b59d2a2035d8 | [
"MIT"
] | null | null | null | variable_and_data_type/boolean_demo/some_values_are_false.py | pysga1996/python-basic-programming | 5fe817986fbef2649b4b03955f07b59d2a2035d8 | [
"MIT"
] | null | null | null | # In fact, there are not many values that evaluates to False, except empty values, such as (), [], {}, "",
# the number 0, and the value None. And of course the value False evaluates to False.
bool(False)
bool(None)
bool(0)
bool("")
bool(())
bool([])
bool({})
# One more value, or object in this case, evaluates to Fal... | 25.285714 | 112 | 0.687382 | bool(False)
bool(None)
bool(0)
bool("")
bool(())
bool([])
bool({})
class MyClass:
def __len__(self):
return 0
myObj = MyClass()
print(bool(myObj))
| true | true |
1c0f024a66419b695029830789d701a52bafdbdf | 17,461 | py | Python | sis_provisioner/migrations/0001_initial.py | uw-it-aca/canvas-sis-provisioner | 28f54ce101704a8feaaea1e514618aba5a330a25 | [
"Apache-2.0"
] | null | null | null | sis_provisioner/migrations/0001_initial.py | uw-it-aca/canvas-sis-provisioner | 28f54ce101704a8feaaea1e514618aba5a330a25 | [
"Apache-2.0"
] | 451 | 2016-10-25T22:08:19.000Z | 2022-03-23T20:27:52.000Z | sis_provisioner/migrations/0001_initial.py | uw-it-aca/canvas-sis-provisioner | 28f54ce101704a8feaaea1e514618aba5a330a25 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Course',
fields=[
... | 47.319783 | 270 | 0.537254 | from __future__ import unicode_literals
from django.db import models, migrations
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Course',
fields=[
('id', models.AutoFi... | true | true |
1c0f02c1f77206f630d7b08b7026144d44dea1ed | 849 | py | Python | venv/lib/python3.7/site-packages/allauth/socialaccount/providers/instagram/tests.py | vikram0207/django-rest | eafec575999dce6859dc7b99177cff339b2bcbdd | [
"MIT"
] | 12 | 2019-08-02T07:58:16.000Z | 2022-01-31T23:45:08.000Z | venv/lib/python3.7/site-packages/allauth/socialaccount/providers/instagram/tests.py | vikram0207/django-rest | eafec575999dce6859dc7b99177cff339b2bcbdd | [
"MIT"
] | 23 | 2019-01-19T08:54:48.000Z | 2022-03-11T23:39:37.000Z | venv/lib/python3.7/site-packages/allauth/socialaccount/providers/instagram/tests.py | vikram0207/django-rest | eafec575999dce6859dc7b99177cff339b2bcbdd | [
"MIT"
] | 17 | 2020-03-03T08:42:17.000Z | 2020-10-03T16:08:49.000Z | from allauth.socialaccount.tests import OAuth2TestsMixin
from allauth.tests import MockedResponse, TestCase
from .provider import InstagramProvider
class InstagramTests(OAuth2TestsMixin, TestCase):
provider_id = InstagramProvider.id
def get_mocked_response(self):
return MockedResponse(200, """
... | 27.387097 | 91 | 0.532391 | from allauth.socialaccount.tests import OAuth2TestsMixin
from allauth.tests import MockedResponse, TestCase
from .provider import InstagramProvider
class InstagramTests(OAuth2TestsMixin, TestCase):
provider_id = InstagramProvider.id
def get_mocked_response(self):
return MockedResponse(200, """
... | true | true |
1c0f03022bb731200515c8dd519e3e902b99b5a6 | 5,364 | py | Python | src/iOS/toga_iOS/widgets/scrollcontainer.py | luizoti/toga | 3c49e685f325f1aba2ce048b253402d7e4519f97 | [
"BSD-3-Clause"
] | 1,261 | 2019-03-31T16:28:47.000Z | 2022-03-31T09:01:23.000Z | src/iOS/toga_iOS/widgets/scrollcontainer.py | luizoti/toga | 3c49e685f325f1aba2ce048b253402d7e4519f97 | [
"BSD-3-Clause"
] | 597 | 2019-04-02T20:02:42.000Z | 2022-03-30T10:28:47.000Z | src/iOS/toga_iOS/widgets/scrollcontainer.py | luizoti/toga | 3c49e685f325f1aba2ce048b253402d7e4519f97 | [
"BSD-3-Clause"
] | 318 | 2019-03-31T18:32:00.000Z | 2022-03-30T18:07:13.000Z | from rubicon.objc import CGSizeMake
from toga_iOS.libs import (
NSLayoutAttributeBottom,
NSLayoutAttributeLeading,
NSLayoutAttributeTop,
NSLayoutAttributeTrailing,
NSLayoutConstraint,
NSLayoutRelationEqual,
UIColor,
UIScrollView
)
from toga_iOS.widgets.base import Widget
from toga_iOS.w... | 33.735849 | 108 | 0.628635 | from rubicon.objc import CGSizeMake
from toga_iOS.libs import (
NSLayoutAttributeBottom,
NSLayoutAttributeLeading,
NSLayoutAttributeTop,
NSLayoutAttributeTrailing,
NSLayoutConstraint,
NSLayoutRelationEqual,
UIColor,
UIScrollView
)
from toga_iOS.widgets.base import Widget
from toga_iOS.w... | true | true |
1c0f031b979c5e1251057b1cd3fc6f591062c633 | 691 | py | Python | molsysmt/item/mdtraj_Trajectory/to_parmed_Structure.py | uibcdf/MolModMTs | 4f6b6f671a9fa3e73008d1e9c48686d5f20a6573 | [
"MIT"
] | null | null | null | molsysmt/item/mdtraj_Trajectory/to_parmed_Structure.py | uibcdf/MolModMTs | 4f6b6f671a9fa3e73008d1e9c48686d5f20a6573 | [
"MIT"
] | null | null | null | molsysmt/item/mdtraj_Trajectory/to_parmed_Structure.py | uibcdf/MolModMTs | 4f6b6f671a9fa3e73008d1e9c48686d5f20a6573 | [
"MIT"
] | null | null | null | from molsysmt._private.digestion import digest_item, digest_atom_indices, digest_structure_indices
def to_parmed_Structure(item, atom_indices='all', structure_indices='all', check=True):
if check:
digest_item(item, 'mdtraj.Trajectory')
atom_indices = digest_atom_indices(atom_indices)
stru... | 36.368421 | 98 | 0.794501 | from molsysmt._private.digestion import digest_item, digest_atom_indices, digest_structure_indices
def to_parmed_Structure(item, atom_indices='all', structure_indices='all', check=True):
if check:
digest_item(item, 'mdtraj.Trajectory')
atom_indices = digest_atom_indices(atom_indices)
stru... | true | true |
1c0f03f4f75b0480e777c2c470906df7c8cdb48f | 685 | py | Python | test/lint/lint-submodule.py | qogecoin/qogecoin | fce42076f1a2746525374f50f35939392f37ca84 | [
"MIT"
] | 9 | 2021-10-30T01:01:50.000Z | 2022-02-10T02:20:44.000Z | test/lint/lint-submodule.py | qogecoin/qogecoin | fce42076f1a2746525374f50f35939392f37ca84 | [
"MIT"
] | 4 | 2021-10-17T19:59:16.000Z | 2021-11-04T19:11:25.000Z | test/lint/lint-submodule.py | qogecoin/qogecoin | fce42076f1a2746525374f50f35939392f37ca84 | [
"MIT"
] | 7 | 2021-11-01T09:09:41.000Z | 2022-03-23T02:47:30.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2022 The Bitcoin and Qogecoin Core Authors
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""
This script checks for git modules
"""
import subprocess
import sys
def main():
submodul... | 28.541667 | 106 | 0.652555 |
import subprocess
import sys
def main():
submodules_list = subprocess.check_output(['git', 'submodule', 'status', '--recursive'],
universal_newlines = True, encoding = 'utf8').rstrip('\n')
if submodules_list:
print("These submodules were found, delete t... | true | true |
1c0f049a23636ea427096a2913f73aedb83546bc | 274 | py | Python | pydelmod/__init__.py | CADWRDeltaModeling/pydelmod | 31700b6853467dfb1af418267426e5014369080f | [
"MIT"
] | null | null | null | pydelmod/__init__.py | CADWRDeltaModeling/pydelmod | 31700b6853467dfb1af418267426e5014369080f | [
"MIT"
] | 4 | 2020-01-25T00:19:45.000Z | 2021-04-06T22:46:34.000Z | pydelmod/__init__.py | CADWRDeltaModeling/pydelmod | 31700b6853467dfb1af418267426e5014369080f | [
"MIT"
] | 2 | 2019-11-06T20:29:35.000Z | 2020-01-03T19:44:55.000Z | # -*- coding: utf-8 -*-
"""Top-level package for Delta Modeling Python Package."""
__author__ = """Kijin Nam"""
__email__ = 'knam@water.ca.gov'
__all__ = ['nbplot', 'utilities']
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
| 21.076923 | 58 | 0.70073 |
__author__ = """Kijin Nam"""
__email__ = 'knam@water.ca.gov'
__all__ = ['nbplot', 'utilities']
from ._version import get_versions
__version__ = get_versions()['version']
del get_versions
| true | true |
1c0f04c8a598548289236fdbf612661de90b9d53 | 6,057 | py | Python | 05.co-rotating-vortex.py | carlosal1015/python-fortran | 4cbedff47f9b45a5bb7cb53f9159469539935b66 | [
"MIT"
] | null | null | null | 05.co-rotating-vortex.py | carlosal1015/python-fortran | 4cbedff47f9b45a5bb7cb53f9159469539935b66 | [
"MIT"
] | null | null | null | 05.co-rotating-vortex.py | carlosal1015/python-fortran | 4cbedff47f9b45a5bb7cb53f9159469539935b66 | [
"MIT"
] | null | null | null | # ---
# jupyter:
# jupytext:
# formats: py:light,docs//ipynb
# text_representation:
# extension: .py
# format_name: light
# format_version: '1.5'
# jupytext_version: 1.3.4
# kernelspec:
# display_name: Python 3
# language: python
# name: python3
# ---
import numpy as np
... | 23.660156 | 79 | 0.497936 |
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from matplotlib import animation
plt.rcParams['figure.figsize'] = (10,6)
import sys
if sys.platform == "darwin":
%env CC=gcc-9
subroutine biot ( n, xp, yp, op, up, vp )
implicit none
integer, intent(in) :: n
real(8), intent(in) :: x... | false | true |
1c0f04fe6196c4f29de2849481c9aa15f3b7dca8 | 18,675 | py | Python | tests/app/v3_position_accountaddress_coupon_GET_test.py | BoostryJP/ibet-Wallet-API | da7323a298bdb746e93da8a9b57a5da1dd6f14ac | [
"Apache-2.0"
] | 6 | 2021-06-16T02:06:21.000Z | 2021-09-20T09:50:56.000Z | tests/app/v3_position_accountaddress_coupon_GET_test.py | BoostryJP/ibet-Wallet-API | da7323a298bdb746e93da8a9b57a5da1dd6f14ac | [
"Apache-2.0"
] | 68 | 2021-04-06T03:44:54.000Z | 2022-03-29T02:00:02.000Z | tests/app/v3_position_accountaddress_coupon_GET_test.py | BoostryJP/ibet-Wallet-API | da7323a298bdb746e93da8a9b57a5da1dd6f14ac | [
"Apache-2.0"
] | null | null | null | """
Copyright BOOSTRY 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 in writing,
software distr... | 40.16129 | 110 | 0.594645 | from unittest import mock
from web3 import Web3
from web3.middleware import geth_poa_middleware
from app import config
from app.contracts import Contract
from app.model.db import (
Listing,
IDXTransfer
)
from tests.account_config import eth_account
from tests.contract_modules import (
issue_coupon_token,
... | true | true |
1c0f05ad0b574b2eee47e13167c1d06b9b3d31dd | 911 | py | Python | tests/test_latex_admin.py | spitfire-hash/latex-admin | b4c14647024c82b5747a09df201fff0ef3bcaf76 | [
"Apache-2.0"
] | 1 | 2020-11-17T16:58:34.000Z | 2020-11-17T16:58:34.000Z | tests/test_latex_admin.py | spitfire-hash/latex-admin | b4c14647024c82b5747a09df201fff0ef3bcaf76 | [
"Apache-2.0"
] | 1 | 2020-11-17T14:07:20.000Z | 2020-11-18T13:08:12.000Z | tests/test_latex_admin.py | spitfire-hash/latex-admin | b4c14647024c82b5747a09df201fff0ef3bcaf76 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Tests for `latex_admin` package."""
import unittest
from click.testing import CliRunner
# from latex_admin import latex_admin
from latex_admin import cli
class TestLatexAdmin(unittest.TestCase):
"""Tests for `latex_admin` package."""
def setUp(self):
"""Set up test fixtur... | 26.794118 | 80 | 0.655324 |
import unittest
from click.testing import CliRunner
from latex_admin import cli
class TestLatexAdmin(unittest.TestCase):
def setUp(self):
def tearDown(self):
def test_000_something(self):
def test_command_line_interface(self):
runner = CliRunner()
result = runner.invoke(cli.mai... | true | true |
1c0f06e57e239a63b4e2319d19b6d107eb0990a0 | 3,552 | py | Python | warehouse/legacy/api/xmlrpc/cache/fncache.py | matt-land/warehouse | 0acb5d94528099ed5356253457cf8dc0b4e50aad | [
"Apache-2.0"
] | 1 | 2021-08-14T13:47:31.000Z | 2021-08-14T13:47:31.000Z | warehouse/legacy/api/xmlrpc/cache/fncache.py | matt-land/warehouse | 0acb5d94528099ed5356253457cf8dc0b4e50aad | [
"Apache-2.0"
] | 1 | 2019-09-09T15:04:44.000Z | 2019-09-09T15:04:44.000Z | warehouse/legacy/api/xmlrpc/cache/fncache.py | matt-land/warehouse | 0acb5d94528099ed5356253457cf8dc0b4e50aad | [
"Apache-2.0"
] | 1 | 2019-09-09T15:02:40.000Z | 2019-09-09T15:02:40.000Z | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the Li... | 37 | 79 | 0.631757 |
import json
import redis
from warehouse.legacy.api.xmlrpc.cache.interfaces import CacheError
DEFAULT_EXPIRES = 86400
class StubMetricReporter(object):
def increment(self, metric_name):
return
class RedisLru(object):
def __init__(self, conn, name="lru", expires=None, metric_reporter=None):
... | true | true |
1c0f072dd32d38f048cfa48d38b45264951d095e | 4,925 | py | Python | tensorflow/python/grappler/tf_optimizer_test.py | mohammadzainabbas/tensorflow | 352142267a1a151b04c6198de83b40b7e979d1d8 | [
"Apache-2.0"
] | 54 | 2018-05-29T19:52:44.000Z | 2021-11-30T10:41:12.000Z | tensorflow/python/grappler/tf_optimizer_test.py | hiflyin/tensorflow | 8e86dcd1c59bb3f1dc978fcb5398dd3f2f51d9ad | [
"Apache-2.0"
] | 20 | 2017-12-06T18:20:54.000Z | 2021-11-10T09:54:23.000Z | tensorflow/python/grappler/tf_optimizer_test.py | hiflyin/tensorflow | 8e86dcd1c59bb3f1dc978fcb5398dd3f2f51d9ad | [
"Apache-2.0"
] | 31 | 2018-09-11T02:17:17.000Z | 2021-12-15T10:33:35.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.4 | 80 | 0.714112 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.core.protobuf import rewriter_config_pb2
from tensorflow.python.framework import constant_op
from tensorflow.python.framework import dtypes
from tensorflow.python.framework import meta_graph
fro... | true | true |
1c0f07e1aa963c1b389e6fcaaf3de1869015c9e1 | 1,150 | py | Python | server/ledsHelper.py | adrianoBP/LedsManager | 5b1379d61c6d60ee0a2908b72619d738966c4c56 | [
"MIT"
] | null | null | null | server/ledsHelper.py | adrianoBP/LedsManager | 5b1379d61c6d60ee0a2908b72619d738966c4c56 | [
"MIT"
] | null | null | null | server/ledsHelper.py | adrianoBP/LedsManager | 5b1379d61c6d60ee0a2908b72619d738966c4c56 | [
"MIT"
] | null | null | null | import pyaudio, wave, audioop, argparse, time
from threading import Thread
from rpi_ws281x import *
redHue = greenHue = blueHue = 32
threshold = 50
CHUNK = 32
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
# LED strip configuration:
LED_COUNT = 280 # Number of LED pixels.
LED_PIN = 18 # GPIO... | 29.487179 | 108 | 0.689565 | import pyaudio, wave, audioop, argparse, time
from threading import Thread
from rpi_ws281x import *
redHue = greenHue = blueHue = 32
threshold = 50
CHUNK = 32
FORMAT = pyaudio.paInt16
CHANNELS = 1
RATE = 44100
LED_COUNT = 280 LED_PIN = 18 LED_FREQ_HZ = 800000 LED_DMA = 10 LED_BRI... | true | true |
1c0f08150785063892c78f76669c2198c7818575 | 276 | py | Python | Ciclo1Python/Semana1/Ejercicio1.py | dsernag/misionTicUSAPython | 2c06b9f1ea8ecfcfe39dd9d945b7dea66321951b | [
"CC0-1.0"
] | null | null | null | Ciclo1Python/Semana1/Ejercicio1.py | dsernag/misionTicUSAPython | 2c06b9f1ea8ecfcfe39dd9d945b7dea66321951b | [
"CC0-1.0"
] | null | null | null | Ciclo1Python/Semana1/Ejercicio1.py | dsernag/misionTicUSAPython | 2c06b9f1ea8ecfcfe39dd9d945b7dea66321951b | [
"CC0-1.0"
] | null | null | null | # Ejercicio 1 Número Mágico
# Número mágico:
nmagico = 12345679
#Escoja el número
print("Escoja un número de 1 a 9")
numero_usuario = int(input())
#Transformaciones
numero_usuario *= 9
nmagico *= numero_usuario
#Imprimir el resultado
print("El número mágico es:", nmagico)
| 18.4 | 38 | 0.753623 | nmagico = 12345679
print("Escoja un número de 1 a 9")
numero_usuario = int(input())
numero_usuario *= 9
nmagico *= numero_usuario
print("El número mágico es:", nmagico)
| true | true |
1c0f08a56172c68417d723e7eb8ee31a48942b05 | 3,711 | py | Python | web/app/ITLabStore/settings.py | happyincent/ITLabStore | 4fe223635420d0f3016f13b1413dfc2a66dc1345 | [
"MIT"
] | null | null | null | web/app/ITLabStore/settings.py | happyincent/ITLabStore | 4fe223635420d0f3016f13b1413dfc2a66dc1345 | [
"MIT"
] | null | null | null | web/app/ITLabStore/settings.py | happyincent/ITLabStore | 4fe223635420d0f3016f13b1413dfc2a66dc1345 | [
"MIT"
] | null | null | null | """
Django settings for ITLabStore project.
Generated by 'django-admin startproject' using Django 2.2.3.
For more information on this file, see
https://docs.djangoproject.com/en/2.2/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/2.2/ref/settings/
"""
import os... | 25.244898 | 91 | 0.6955 |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
DEBUG = False
ALLOWED_HOSTS = [ '*' ]
# Application definition
INSTALLED_APPS = [
# 'django.contrib.admin',
'django.contrib.auth',
'django.contrib.contenttypes',
'django.contrib.sessions',
'django.contrib.mess... | true | true |
1c0f08ac6a9a667db66ad3d1dcf5dbbfba5bd507 | 23,367 | py | Python | mogua/consensus/block_body_validation.py | vanthoi/mogua-blockchain | 1e46ee2ee4fc98b87aede276608b3bd95971f05a | [
"Apache-2.0"
] | 16 | 2021-08-01T14:29:14.000Z | 2022-02-09T04:32:05.000Z | mogua/consensus/block_body_validation.py | vanthoi/mogua-blockchain | 1e46ee2ee4fc98b87aede276608b3bd95971f05a | [
"Apache-2.0"
] | 18 | 2021-08-03T22:07:27.000Z | 2022-02-03T11:08:42.000Z | mogua/consensus/block_body_validation.py | vanthoi/mogua-blockchain | 1e46ee2ee4fc98b87aede276608b3bd95971f05a | [
"Apache-2.0"
] | 5 | 2021-09-13T10:23:35.000Z | 2022-03-15T08:43:19.000Z | import collections
import logging
from typing import Dict, List, Optional, Set, Tuple, Union, Callable
from blspy import AugSchemeMPL, G1Element
from chiabip158 import PyBIP158
from clvm.casts import int_from_bytes
from mogua.consensus.block_record import BlockRecord
from mogua.consensus.block_rewards import calculat... | 48.179381 | 120 | 0.655797 | import collections
import logging
from typing import Dict, List, Optional, Set, Tuple, Union, Callable
from blspy import AugSchemeMPL, G1Element
from chiabip158 import PyBIP158
from clvm.casts import int_from_bytes
from mogua.consensus.block_record import BlockRecord
from mogua.consensus.block_rewards import calculat... | true | true |
1c0f0ae6c5996bf5c8fa787526a0ef191a6f8e67 | 1,187 | py | Python | python/2016/day18.py | SylvainDe/aoc | b8a4609327831685ef94c9960350ff7bb5ace1a5 | [
"MIT"
] | null | null | null | python/2016/day18.py | SylvainDe/aoc | b8a4609327831685ef94c9960350ff7bb5ace1a5 | [
"MIT"
] | null | null | null | python/2016/day18.py | SylvainDe/aoc | b8a4609327831685ef94c9960350ff7bb5ace1a5 | [
"MIT"
] | null | null | null | # vi: set shiftwidth=4 tabstop=4 expandtab:
import datetime
def get_tiles_from_file(file_path="../../resources/year2016_day18_input.txt"):
with open(file_path) as f:
for l in f:
return l.strip()
traps = set([("^", "^", "."), (".", "^", "^"), ("^", ".", "."), (".", ".", "^"),])
def get_next... | 22.826923 | 88 | 0.577928 | import datetime
def get_tiles_from_file(file_path="../../resources/year2016_day18_input.txt"):
with open(file_path) as f:
for l in f:
return l.strip()
traps = set([("^", "^", "."), (".", "^", "^"), ("^", ".", "."), (".", ".", "^"),])
def get_next_line(tiles):
return "".join(
"^... | true | true |
1c0f0b1d4088e36f60c07956347aee0cd68151f9 | 2,033 | py | Python | n_utils/tests/aws_infra_util_test.py | NitorCreations/nitor-deploy-tools | 93dd86d5e6586520f72dd38319f55849bf4a5bc5 | [
"Apache-2.0"
] | 10 | 2017-02-12T17:04:56.000Z | 2018-11-10T16:46:57.000Z | n_utils/tests/aws_infra_util_test.py | NitorCreations/nitor-deploy-tools | 93dd86d5e6586520f72dd38319f55849bf4a5bc5 | [
"Apache-2.0"
] | 22 | 2017-04-06T11:41:01.000Z | 2019-09-18T05:45:03.000Z | n_utils/tests/aws_infra_util_test.py | NitorCreations/nitor-deploy-tools | 93dd86d5e6586520f72dd38319f55849bf4a5bc5 | [
"Apache-2.0"
] | 1 | 2020-08-26T07:32:02.000Z | 2020-08-26T07:32:02.000Z | from n_utils.aws_infra_util import yaml_to_dict
def test_merge_import(mocker):
result = yaml_to_dict('n_utils/tests/templates/test.yaml')
assert result['Parameters']['paramTest']['Default'] == 'test2'
assert result['Parameters']['paramTest3']['Default'] == 'test2'
assert result['Parameters']['paramTest... | 56.472222 | 75 | 0.659616 | from n_utils.aws_infra_util import yaml_to_dict
def test_merge_import(mocker):
result = yaml_to_dict('n_utils/tests/templates/test.yaml')
assert result['Parameters']['paramTest']['Default'] == 'test2'
assert result['Parameters']['paramTest3']['Default'] == 'test2'
assert result['Parameters']['paramTest... | true | true |
1c0f0b69752f6a17726508818b07f8d792474a32 | 7,858 | py | Python | tests/test_simple_programs.py | sarchar/CSBCAsm | a4cd7ce4396237f95a00574a5f0046ecb6947659 | [
"MIT"
] | null | null | null | tests/test_simple_programs.py | sarchar/CSBCAsm | a4cd7ce4396237f95a00574a5f0046ecb6947659 | [
"MIT"
] | null | null | null | tests/test_simple_programs.py | sarchar/CSBCAsm | a4cd7ce4396237f95a00574a5f0046ecb6947659 | [
"MIT"
] | null | null | null | from CSBCAsm import Assembler
from CSBCAsm import Lexer
from CSBCAsm import Parser
from CSBCAsm import ParserAST
from CSBCAsm.tools import parse_string, assemble_string
def test_nop():
program_string = '''
.segment "code", 0x0000, 0x10000, 0
.code
.org start
_init:
nop
.db 0x4C, 0x00, 0x00 ; JM... | 27.190311 | 187 | 0.582846 | from CSBCAsm import Assembler
from CSBCAsm import Lexer
from CSBCAsm import Parser
from CSBCAsm import ParserAST
from CSBCAsm.tools import parse_string, assemble_string
def test_nop():
program_string = '''
.segment "code", 0x0000, 0x10000, 0
.code
.org start
_init:
nop
.db 0x4C, 0x00, 0x00 ; JM... | true | true |
1c0f0b7ac70e226db4143d593b445c9c315f32aa | 1,459 | py | Python | eee3097s_project/Command Line Scripts/Tests/TestUser.py | StevenThomi/eee3097s_project | c2b64f974afe3a620c4c72e348eb85c9b4187cb0 | [
"MIT"
] | null | null | null | eee3097s_project/Command Line Scripts/Tests/TestUser.py | StevenThomi/eee3097s_project | c2b64f974afe3a620c4c72e348eb85c9b4187cb0 | [
"MIT"
] | 1 | 2020-08-19T15:39:04.000Z | 2020-08-19T15:39:04.000Z | eee3097s_project/Command Line Scripts/Tests/TestUser.py | StevenThomi/eee3097s_project | c2b64f974afe3a620c4c72e348eb85c9b4187cb0 | [
"MIT"
] | null | null | null | from FireMarshall import FireMarshall
def main():
fireMarshall = FireMarshall(2)
print("The following fire marshall has been registered: ")
fireMarshall.printMarshall()
print("\nLet's change some of their attributes;")
print("First of all, let's change their name. ")
newName = input("Input a... | 31.042553 | 125 | 0.668266 | from FireMarshall import FireMarshall
def main():
fireMarshall = FireMarshall(2)
print("The following fire marshall has been registered: ")
fireMarshall.printMarshall()
print("\nLet's change some of their attributes;")
print("First of all, let's change their name. ")
newName = input("Input a... | true | true |
1c0f0ca2de1ac0dcf92e2c083b5cead29d2c0021 | 2,136 | py | Python | beginning-game-development/Chapter 11/tankdemo.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | 43 | 2015-09-20T02:05:48.000Z | 2022-03-01T22:00:43.000Z | beginning-game-development/Chapter 11/tankdemo.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | null | null | null | beginning-game-development/Chapter 11/tankdemo.py | CrtomirJuren/pygame-projects | f710f36050bfe3ece866bbda7d570caa1e037d7a | [
"MIT"
] | 40 | 2015-05-19T06:51:13.000Z | 2022-03-27T18:11:16.000Z | from math import radians
from OpenGL.GL import *
from OpenGL.GLU import *
import pygame
from pygame.locals import *
# Import the Model3D class
import model3d
SCREEN_SIZE = (800, 600)
def resize(width, height):
glViewport(0, 0, width, height)
glMatrixMode(GL_PROJECTION)
glLoadIdentity()
gluPerspect... | 22.723404 | 77 | 0.632491 | from math import radians
from OpenGL.GL import *
from OpenGL.GLU import *
import pygame
from pygame.locals import *
import model3d
SCREEN_SIZE = (800, 600)
def resize(width, height):
glViewport(0, 0, width, height)
glMatrixMode(GL_PROJECTION)
glLoadIdentity()
gluPerspective(60.0, float(width)/heig... | true | true |
1c0f0cf664eee90541a5624c03b814d1ff875fac | 3,803 | py | Python | tests/test_stomp.py | jrbourbeau/stumpy | e9150aeb08a47dbaaa2ba86e00dea46c5baff2a2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_stomp.py | jrbourbeau/stumpy | e9150aeb08a47dbaaa2ba86e00dea46c5baff2a2 | [
"BSD-3-Clause"
] | null | null | null | tests/test_stomp.py | jrbourbeau/stumpy | e9150aeb08a47dbaaa2ba86e00dea46c5baff2a2 | [
"BSD-3-Clause"
] | null | null | null | import numpy as np
import numpy.testing as npt
from stumpy import stomp, core
import pytest
import naive
test_data = [
(
np.array([9, 8100, -60, 7], dtype=np.float64),
np.array([584, -11, 23, 79, 1001, 0, -19], dtype=np.float64),
),
(
np.random.uniform(-1000, 1000, [8]).astype(np.f... | 31.691667 | 81 | 0.682356 | import numpy as np
import numpy.testing as npt
from stumpy import stomp, core
import pytest
import naive
test_data = [
(
np.array([9, 8100, -60, 7], dtype=np.float64),
np.array([584, -11, 23, 79, 1001, 0, -19], dtype=np.float64),
),
(
np.random.uniform(-1000, 1000, [8]).astype(np.f... | true | true |
1c0f0d6983d0c0ab26be18f9177947f960bd084e | 818 | py | Python | lambda/auto-rbr-generate/index.py | aws-samples/aws-ddos-fire-extinguisher | ab07428786277e7861e3cf5c5844b2e1a8c92716 | [
"MIT-0"
] | null | null | null | lambda/auto-rbr-generate/index.py | aws-samples/aws-ddos-fire-extinguisher | ab07428786277e7861e3cf5c5844b2e1a8c92716 | [
"MIT-0"
] | null | null | null | lambda/auto-rbr-generate/index.py | aws-samples/aws-ddos-fire-extinguisher | ab07428786277e7861e3cf5c5844b2e1a8c92716 | [
"MIT-0"
] | null | null | null | import boto3
import time
import json
import os
from query_actions import *
from cloudformation_actions import *
from send_notiification import *
accountId = os.environ['AccountId']
actions = ['changeset','email']
cloudformation_client = boto3.client('cloudformation')
athena_client = boto3.client('athena')
s3_client = ... | 31.461538 | 59 | 0.740831 | import boto3
import time
import json
import os
from query_actions import *
from cloudformation_actions import *
from send_notiification import *
accountId = os.environ['AccountId']
actions = ['changeset','email']
cloudformation_client = boto3.client('cloudformation')
athena_client = boto3.client('athena')
s3_client = ... | true | true |
1c0f0dbb178debee1d114993a680ad4dfae9c549 | 2,633 | py | Python | ortools/graph/samples/simple_min_cost_flow_program.py | matbesancon/or-tools | b37d9c786b69128f3505f15beca09e89bf078a89 | [
"Apache-2.0"
] | 8,273 | 2015-02-24T22:10:50.000Z | 2022-03-31T21:19:27.000Z | ortools/graph/samples/simple_min_cost_flow_program.py | matbesancon/or-tools | b37d9c786b69128f3505f15beca09e89bf078a89 | [
"Apache-2.0"
] | 2,530 | 2015-03-05T04:27:21.000Z | 2022-03-31T06:13:02.000Z | ortools/graph/samples/simple_min_cost_flow_program.py | matbesancon/or-tools | b37d9c786b69128f3505f15beca09e89bf078a89 | [
"Apache-2.0"
] | 2,057 | 2015-03-04T15:02:02.000Z | 2022-03-30T02:29:27.000Z | #!/usr/bin/env python3
# Copyright 2010-2021 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 ... | 35.581081 | 78 | 0.636156 | from ortools.graph import pywrapgraph
def main():
start_nodes = [0, 0, 1, 1, 1, 2, 2, 3, 4]
end_nodes = [1, 2, 2, 3, 4, 3, 4, 4, 2]
capacities = [15, 8, 20, 4, 10, 15, 4, 20, 5]
unit_costs = [4, 4, 2, 2, 6, 1, 3, 2, 3]
supplies = [20, 0, 0, -5, -15]
min_cost_f... | true | true |
1c0f0decb54e9dcb6e96dc9fe4d2f03e3707159c | 5,455 | py | Python | TheLastBowl.py | Drop-G/PyBowling | 7a86c51e0c62a6427e7ef614b6723d8ab466a689 | [
"MIT"
] | null | null | null | TheLastBowl.py | Drop-G/PyBowling | 7a86c51e0c62a6427e7ef614b6723d8ab466a689 | [
"MIT"
] | null | null | null | TheLastBowl.py | Drop-G/PyBowling | 7a86c51e0c62a6427e7ef614b6723d8ab466a689 | [
"MIT"
] | null | null | null | # Program bowling
# Declare constants
NUMBER_OF_FRAMES = 10
NUMBER_OF_PINS = 10
# Declare Variable types (EVERY variable used)
frame_1_ball_1 = int()
frame_1_ball_2 = int()
frame_2_ball_1 = int()
frame_2_ball_2 = int()
frame_3_ball_1 = int()
frame_3_ball_2 = int()
frame_4_ball_1 = int()
frame_4_ball_2 = int()
frame_5... | 23.311966 | 75 | 0.60385 |
NUMBER_OF_FRAMES = 10
NUMBER_OF_PINS = 10
frame_1_ball_1 = int()
frame_1_ball_2 = int()
frame_2_ball_1 = int()
frame_2_ball_2 = int()
frame_3_ball_1 = int()
frame_3_ball_2 = int()
frame_4_ball_1 = int()
frame_4_ball_2 = int()
frame_5_ball_1 = int()
frame_5_ball_2 = int()
frame_6_ball_1 = int()
frame_6_ball_2 = int()
... | true | true |
1c0f10476e649d133d093c5fa5fa42e6e471f52f | 20,896 | py | Python | tests/common/test_logcollector.py | ezeeyahoo/WALinuxAgent | 7bb93ee0d75b91c6e9bc6d69003b4fdce9697ec2 | [
"Apache-2.0"
] | null | null | null | tests/common/test_logcollector.py | ezeeyahoo/WALinuxAgent | 7bb93ee0d75b91c6e9bc6d69003b4fdce9697ec2 | [
"Apache-2.0"
] | null | null | null | tests/common/test_logcollector.py | ezeeyahoo/WALinuxAgent | 7bb93ee0d75b91c6e9bc6d69003b4fdce9697ec2 | [
"Apache-2.0"
] | 1 | 2020-08-18T20:15:17.000Z | 2020-08-18T20:15:17.000Z | # Microsoft Azure Linux Agent
#
# Copyright 2020 Microsoft Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required b... | 48.258661 | 120 | 0.67678 |
import os
import shutil
import zipfile
import tempfile
from azurelinuxagent.common.utils.fileutil import rm_dirs, mkdir, rm_files, write_file
from azurelinuxagent.common.logcollector import LogCollector
from tests.tools import AgentTestCase, is_python_version_26, patch, skip_if_predicate_true
SMALL_FILE_SIZE = 1 * ... | true | true |
1c0f110ce0bff251d0c71be9601f099e5e9a57c5 | 123 | py | Python | source/menus/__init__.py | Tobi-De/SCJ-2021-classic-clownfish | 0d36f96a1e7734653b4a160c08ce05f4e5ef4b9b | [
"MIT"
] | 1 | 2021-07-10T08:24:50.000Z | 2021-07-10T08:24:50.000Z | source/menus/__init__.py | Tobi-De/SCJ-2021-classic-clownfish | 0d36f96a1e7734653b4a160c08ce05f4e5ef4b9b | [
"MIT"
] | 8 | 2021-07-12T18:46:31.000Z | 2021-07-17T16:09:08.000Z | source/menus/__init__.py | Tobi-De/SCJ-2021-classic-clownfish | 0d36f96a1e7734653b4a160c08ce05f4e5ef4b9b | [
"MIT"
] | 5 | 2021-07-09T16:14:56.000Z | 2021-07-17T06:58:31.000Z | # flake8: noqa
from .choose_file import ChooseFile
from .highscore_menu import HighScoreMenu
from .start import StartMenu
| 20.5 | 41 | 0.829268 |
from .choose_file import ChooseFile
from .highscore_menu import HighScoreMenu
from .start import StartMenu
| true | true |
1c0f117fce4ee332cbc5850cecaaad69b1516826 | 2,298 | py | Python | data/test/python/1c0f117fce4ee332cbc5850cecaaad69b1516826__init__.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/test/python/1c0f117fce4ee332cbc5850cecaaad69b1516826__init__.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/test/python/1c0f117fce4ee332cbc5850cecaaad69b1516826__init__.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | '''
**/Xfero/ Module:**
+-----------------------------------+------------------------------------------+
| Type | Brief Description |
+===================================+==========================================+
| Func: create_XFERO_DB.create_db | Database creat... | 67.588235 | 80 | 0.228895 | true | true | |
1c0f12ff25c5462bc4762eec0c238d209f51bdbd | 1,475 | py | Python | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/v2019_04_01/models/ip_rule_py3.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 1 | 2021-09-07T18:36:04.000Z | 2021-09-07T18:36:04.000Z | sdk/containerregistry/azure-mgmt-containerregistry/azure/mgmt/containerregistry/v2019_04_01/models/ip_rule_py3.py | pjquirk/azure-sdk-for-python | cbf02ec4f177b96eae1dbbba87c34c2c93880150 | [
"MIT"
] | 2 | 2019-10-02T23:37:38.000Z | 2020-10-02T01:17:31.000Z | azure-mgmt-containerregistry/azure/mgmt/containerregistry/v2019_04_01/models/ip_rule_py3.py | xiafu-msft/azure-sdk-for-python | 4d9560cfd519ee60667f3cc2f5295a58c18625db | [
"MIT"
] | null | null | null | # 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 ... | 35.119048 | 86 | 0.613559 |
from msrest.serialization import Model
class IPRule(Model):
_validation = {
'ip_address_or_range': {'required': True},
}
_attribute_map = {
'action': {'key': 'action', 'type': 'str'},
'ip_address_or_range': {'key': 'value', 'type': 'str'},
}
def __init__(self, *, ip_add... | true | true |
1c0f145be3582b7e485600148313f1b692ed3a1c | 1,193 | py | Python | pi/FileHelper/SaveFileHelper.py | sammyhaq/gaitmate | 2f172ef81473eea1fe8aacd544c24eac0b1f64cd | [
"Apache-2.0"
] | null | null | null | pi/FileHelper/SaveFileHelper.py | sammyhaq/gaitmate | 2f172ef81473eea1fe8aacd544c24eac0b1f64cd | [
"Apache-2.0"
] | null | null | null | pi/FileHelper/SaveFileHelper.py | sammyhaq/gaitmate | 2f172ef81473eea1fe8aacd544c24eac0b1f64cd | [
"Apache-2.0"
] | null | null | null | """
SaveFileHelper.py
Code by Sammy Haq
https://github.com/sammyhaq
Class for saving x,y,z data from a .csv-like file.
The functionality of this program is shown in saveFileTester.py
"""
class SaveFileHelper():
# Constructor
def __init__(self, filename):
self.filename = filename
self.file =... | 26.511111 | 79 | 0.626991 |
class SaveFileHelper():
def __init__(self, filename):
self.filename = filename
self.file = open(filename, "w")
self.buffer = []
def writeToFile(self, line):
self.file.write(line)
def writeData(self, x, y, z):
self.writeToFile("%.3f,%.3f,%.3f\n" % (flo... | true | true |
1c0f14817ee82118e11bf8e66d8649d31d99af7d | 106,642 | py | Python | GSAS-II-WONDER/GSASIIlattice.py | WONDER-project/GSAS-II-WONDER-OSX | f90ab85f89f282d1b9686a1cbbf5adc5c48ceac9 | [
"MIT"
] | null | null | null | GSAS-II-WONDER/GSASIIlattice.py | WONDER-project/GSAS-II-WONDER-OSX | f90ab85f89f282d1b9686a1cbbf5adc5c48ceac9 | [
"MIT"
] | null | null | null | GSAS-II-WONDER/GSASIIlattice.py | WONDER-project/GSAS-II-WONDER-OSX | f90ab85f89f282d1b9686a1cbbf5adc5c48ceac9 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
*GSASIIlattice: Unit cells*
---------------------------
Perform lattice-related computations
Note that *G* is the reciprocal lattice tensor, and *g* is its inverse,
:math:`G = g^{-1}`, where
.. math::
g = \\left( \\begin{matrix}
a^2 & a b\\cos\gamma & a c\\cos\\beta \\\\
a b\... | 43.105093 | 218 | 0.523949 | from __future__ import division, print_function
import math
import copy
import sys
import random as ran
import numpy as np
import numpy.linalg as nl
import GSASIIpath
import GSASIImath as G2mth
import GSASIIspc as G2spc
import GSASIIElem as G2elem
GSASIIpath.SetVersionNumber("$Revision: 3888 $")
sind = lambda x: np.sin... | true | true |
1c0f1638f8850c1c17a5593c4a625a41ecb79e18 | 5,196 | py | Python | pytermgui/helpers.py | meson800/pytermgui | ef497c2f75b709b081d57a1971c1b6b98300b05b | [
"MIT"
] | null | null | null | pytermgui/helpers.py | meson800/pytermgui | ef497c2f75b709b081d57a1971c1b6b98300b05b | [
"MIT"
] | null | null | null | pytermgui/helpers.py | meson800/pytermgui | ef497c2f75b709b081d57a1971c1b6b98300b05b | [
"MIT"
] | null | null | null | """
Helper methods and functions for pytermgui.
"""
from typing import Iterator
from .parser import markup, TokenType, RE_ANSI, RE_MARKUP, StyledText
from .ansi_interface import reset
__all__ = ["strip_ansi", "strip_markup", "real_length", "get_sequences", "break_line"]
def strip_ansi(text: str) -> str:
"""Remo... | 26.375635 | 89 | 0.558122 |
from typing import Iterator
from .parser import markup, TokenType, RE_ANSI, RE_MARKUP, StyledText
from .ansi_interface import reset
__all__ = ["strip_ansi", "strip_markup", "real_length", "get_sequences", "break_line"]
def strip_ansi(text: str) -> str:
if isinstance(text, StyledText):
return text.plain... | true | true |
1c0f16bec0dd2de4d7af2299c1b7a3011029fd6f | 445 | py | Python | ex065.py | thiagobachiega/python | 493b6bdee9c94e1ae8d4db06c8e5295a96f8922c | [
"MIT"
] | null | null | null | ex065.py | thiagobachiega/python | 493b6bdee9c94e1ae8d4db06c8e5295a96f8922c | [
"MIT"
] | null | null | null | ex065.py | thiagobachiega/python | 493b6bdee9c94e1ae8d4db06c8e5295a96f8922c | [
"MIT"
] | null | null | null | num = soma = cont = maior = menor = 0
esc = ''
while esc != 'n':
num = int(input('Informe um valor: '))
esc = str(input('Deseja continuar? [S/N]')).lower()
soma = soma + num
cont = cont + 1
menor = num
if num > maior:
maior = num
if num < menor:
menor = num
media = soma / c... | 24.722222 | 62 | 0.573034 | num = soma = cont = maior = menor = 0
esc = ''
while esc != 'n':
num = int(input('Informe um valor: '))
esc = str(input('Deseja continuar? [S/N]')).lower()
soma = soma + num
cont = cont + 1
menor = num
if num > maior:
maior = num
if num < menor:
menor = num
media = soma / c... | true | true |
1c0f17f291188023e05a2258d1abf575ba41ff27 | 83 | py | Python | utils/common.py | Bob-Xtc/sims_django | b1e61cf05fd1184f049a9e2a832f85d27cd4f687 | [
"MIT"
] | null | null | null | utils/common.py | Bob-Xtc/sims_django | b1e61cf05fd1184f049a9e2a832f85d27cd4f687 | [
"MIT"
] | null | null | null | utils/common.py | Bob-Xtc/sims_django | b1e61cf05fd1184f049a9e2a832f85d27cd4f687 | [
"MIT"
] | null | null | null | import uuid
def create_uuid():
return ''.join(str(uuid.uuid4()).split('-'))
| 11.857143 | 48 | 0.614458 | import uuid
def create_uuid():
return ''.join(str(uuid.uuid4()).split('-'))
| true | true |
1c0f18fc26410157da13fe73331e2ee8e8532288 | 629 | py | Python | 0024.Swap Nodes in Pairs/test.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | 0024.Swap Nodes in Pairs/test.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | 0024.Swap Nodes in Pairs/test.py | zhlinh/leetcode | 6dfa0a4df9ec07b2c746a13c8257780880ea04af | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from solution import Solution
from solution import ListNode
def mkListNode(nums):
"""
:type: nums: List
:rtype: ListNode
"""
head = lnp = ListNode(0)
for i in range(len(nums)):
lnp.next = ListNode(nums[i])
lnp = lnp.next
return ... | 18.5 | 36 | 0.578696 |
from solution import Solution
from solution import ListNode
def mkListNode(nums):
head = lnp = ListNode(0)
for i in range(len(nums)):
lnp.next = ListNode(nums[i])
lnp = lnp.next
return head.next
def lsListNode(head):
lnp = head
rList = []
while lnp:
rList.append(lnp.va... | true | true |
1c0f19e03903783cd5d5a47e7e117bffa3868cb0 | 2,065 | py | Python | examples/files/img_classification.py | pfriesch/neural-pipeline | 2df4f7467a721b1fbd93f4439086c6dcee5dac2c | [
"MIT"
] | null | null | null | examples/files/img_classification.py | pfriesch/neural-pipeline | 2df4f7467a721b1fbd93f4439086c6dcee5dac2c | [
"MIT"
] | null | null | null | examples/files/img_classification.py | pfriesch/neural-pipeline | 2df4f7467a721b1fbd93f4439086c6dcee5dac2c | [
"MIT"
] | null | null | null | from neural_pipeline.builtin.monitors.tensorboard import TensorboardMonitor
from neural_pipeline import DataProducer, AbstractDataset, TrainConfig, TrainStage,\
ValidationStage, Trainer, FileStructManager
import torch
from torch import nn
import torch.nn.functional as F
from torchvision import datasets, transforms... | 36.22807 | 116 | 0.666344 | from neural_pipeline.builtin.monitors.tensorboard import TensorboardMonitor
from neural_pipeline import DataProducer, AbstractDataset, TrainConfig, TrainStage,\
ValidationStage, Trainer, FileStructManager
import torch
from torch import nn
import torch.nn.functional as F
from torchvision import datasets, transforms... | true | true |
1c0f1ba5bd073ad54574cec7d9b6336220e37b3b | 1,049 | py | Python | setup.py | AndreasSahlberg/electrification-scenario-discovery | a7fd9bb407e6030a22e4e970ea6e3c110ae6d205 | [
"MIT"
] | null | null | null | setup.py | AndreasSahlberg/electrification-scenario-discovery | a7fd9bb407e6030a22e4e970ea6e3c110ae6d205 | [
"MIT"
] | null | null | null | setup.py | AndreasSahlberg/electrification-scenario-discovery | a7fd9bb407e6030a22e4e970ea6e3c110ae6d205 | [
"MIT"
] | null | null | null | from os import path
import setuptools
# read the contents of your README file
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name='onsset',
author='Andreas Sahlberg, Alexandros ... | 26.897436 | 107 | 0.63775 | from os import path
import setuptools
this_directory = path.abspath(path.dirname(__file__))
with open(path.join(this_directory, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setuptools.setup(
name='onsset',
author='Andreas Sahlberg, Alexandros Korkovelos, Dimitrios Mentis, Christophe... | true | true |
1c0f1bd3e8eda3442034899e0aec0f8a7ed6ec09 | 2,229 | py | Python | {{cookiecutter.project_name}}/apps/api/{{cookiecutter.api_2_for_name}}/controllers/member.py | sarimurrab/cookiecutter-space | 4ba9da5c0c16c902dc737951bc84c21671a24091 | [
"MIT"
] | 3 | 2021-08-31T18:53:45.000Z | 2022-03-11T06:06:25.000Z | {{cookiecutter.project_name}}/apps/api/{{cookiecutter.api_2_for_name}}/controllers/member.py | sarimurrab/cookiecutter-space | 4ba9da5c0c16c902dc737951bc84c21671a24091 | [
"MIT"
] | null | null | null | {{cookiecutter.project_name}}/apps/api/{{cookiecutter.api_2_for_name}}/controllers/member.py | sarimurrab/cookiecutter-space | 4ba9da5c0c16c902dc737951bc84c21671a24091 | [
"MIT"
] | null | null | null | from flask_restplus import Resource
from injector import inject
from apps.api.{{cookiecutter.api_2_for_name}}.adapters.presenters.{{cookiecutter.api_2_for_name}}_presenter import GetUser{{cookiecutter.api_2_for_name}}Presenter
from apps.api.{{cookiecutter.api_2_for_name}}.adapters.response.{{cookiecutter.api_2_for_nam... | 42.056604 | 198 | 0.734859 | from flask_restplus import Resource
from injector import inject
from apps.api.{{cookiecutter.api_2_for_name}}.adapters.presenters.{{cookiecutter.api_2_for_name}}_presenter import GetUser{{cookiecutter.api_2_for_name}}Presenter
from apps.api.{{cookiecutter.api_2_for_name}}.adapters.response.{{cookiecutter.api_2_for_nam... | false | true |
1c0f1c18306c02a6f70e6e2655db86395fc4371e | 219 | py | Python | python-the-hard-way/01-a-good-first-program.py | Valka7a/python-playground | f08d4374f2cec2e8b1afec3753854b1ec10ff480 | [
"MIT"
] | null | null | null | python-the-hard-way/01-a-good-first-program.py | Valka7a/python-playground | f08d4374f2cec2e8b1afec3753854b1ec10ff480 | [
"MIT"
] | null | null | null | python-the-hard-way/01-a-good-first-program.py | Valka7a/python-playground | f08d4374f2cec2e8b1afec3753854b1ec10ff480 | [
"MIT"
] | null | null | null | # Exercise 1: A Good First Program
print "Hello World!"
print "Hello Again!"
print "I like typing this."
print "This is fun."
print "Yay! Printing."
print "I'd much rather you 'not'."
print 'I "said do not touch this.' | 24.333333 | 34 | 0.69863 |
print "Hello World!"
print "Hello Again!"
print "I like typing this."
print "This is fun."
print "Yay! Printing."
print "I'd much rather you 'not'."
print 'I "said do not touch this.' | false | true |
1c0f1c2ee60c2b26ef4a7da522ba400b403f1c0c | 226 | py | Python | spleen/profils/__init__.py | puiseux/spleen | 1182cf0c49f05d997b7eaf822524b3c85ace0cef | [
"WTFPL"
] | null | null | null | spleen/profils/__init__.py | puiseux/spleen | 1182cf0c49f05d997b7eaf822524b3c85ace0cef | [
"WTFPL"
] | null | null | null | spleen/profils/__init__.py | puiseux/spleen | 1182cf0c49f05d997b7eaf822524b3c85ace0cef | [
"WTFPL"
] | null | null | null | #!/usr/local/bin/python2.7
# encoding: utf-8
from profil import Profil
from profilnormalise import ProfilNormalise
from naca import naca4, naca5
from parametresprofil import ProfilPrefs, ProfsParam, ProfsParam1, ProfsParamNew
| 32.285714 | 80 | 0.831858 | from profil import Profil
from profilnormalise import ProfilNormalise
from naca import naca4, naca5
from parametresprofil import ProfilPrefs, ProfsParam, ProfsParam1, ProfsParamNew
| true | true |
1c0f1e2c978aeb03e2e0ac8389405501aa729e16 | 2,363 | py | Python | flipper/kernel/flatstructure.py | saraedum/flipper | 31ee1c58e6ffb485a1e2dcab46821eddb3841963 | [
"MIT"
] | null | null | null | flipper/kernel/flatstructure.py | saraedum/flipper | 31ee1c58e6ffb485a1e2dcab46821eddb3841963 | [
"MIT"
] | null | null | null | flipper/kernel/flatstructure.py | saraedum/flipper | 31ee1c58e6ffb485a1e2dcab46821eddb3841963 | [
"MIT"
] | null | null | null |
''' A module for representing a triangulation with a preferred flat structure.
Provides two classes: Vector2 and FlatStructure.
An Vector2 is a vector in RR^2
A FlatStructure is a triangulation with an assignment of vectors to each edge. '''
import flipper
class Vector2(object):
''' This represents a po... | 38.737705 | 148 | 0.65383 |
import flipper
class Vector2(object):
__slots__ = ['x', 'y']
def __init__(self, x, y):
self.x, self.y = x, y
def __str__(self):
return "(%s, %s)" % (self.x, self.y)
def __repr__(self):
return str(self)
def __reduce__(self):
return (self.__clas... | true | true |
1c0f1f6eb415b1c05c1052c1f52743a19c49f017 | 15,403 | py | Python | python/paddle/fluid/io.py | ghevinn/Paddle | 544159c3de2f74a38a5795c635a2f1bda170379f | [
"ECL-2.0",
"Apache-2.0"
] | 4 | 2019-04-28T13:29:41.000Z | 2022-01-09T16:54:20.000Z | python/paddle/fluid/io.py | ghevinn/Paddle | 544159c3de2f74a38a5795c635a2f1bda170379f | [
"ECL-2.0",
"Apache-2.0"
] | 3 | 2018-04-11T10:25:51.000Z | 2018-04-12T01:17:22.000Z | python/paddle/fluid/io.py | ghevinn/Paddle | 544159c3de2f74a38a5795c635a2f1bda170379f | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2019-05-17T02:22:57.000Z | 2019-05-17T02:22:57.000Z | # Copyright (c) 2018 PaddlePaddle 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 app... | 33.339827 | 93 | 0.646368 |
import os
from paddle.fluid.evaluator import Evaluator
from paddle.fluid.framework import Program, Parameter, default_main_program, Variable
from . import core
__all__ = [
'save_vars',
'save_params',
'save_persistables',
'load_vars',
'load_params',
'load_persistables',
'save_inference_mod... | true | true |
1c0f2078512cd6364df2cf4b95136b5de7057ecd | 7,331 | py | Python | cirq/ionq/job_test.py | exAClior/Cirq | 0701327bc66c988428f302dd1e4bed1eef1535a6 | [
"Apache-2.0"
] | null | null | null | cirq/ionq/job_test.py | exAClior/Cirq | 0701327bc66c988428f302dd1e4bed1eef1535a6 | [
"Apache-2.0"
] | null | null | null | cirq/ionq/job_test.py | exAClior/Cirq | 0701327bc66c988428f302dd1e4bed1eef1535a6 | [
"Apache-2.0"
] | 1 | 2020-12-24T07:13:40.000Z | 2020-12-24T07:13:40.000Z | # Copyright 2020 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 29.800813 | 81 | 0.597599 |
from unittest import mock
import pytest
import cirq.ionq as ionq
def test_job_fields():
job_dict = {
'id': 'my_id',
'target': 'qpu',
'name': 'bacon',
'qubits': '5',
'status': 'completed',
'metadata': {'shots': 1000},
}
job = ionq.Job(None, job_dict)
a... | true | true |
1c0f20ea80d2bbbe84a819d2fab60550f0bc3eb3 | 536 | py | Python | algorithms/policy/MLP.py | intelligent-control-lab/Autoenv | 8d7697421ca14e317ea7de24b6acb694ecae5148 | [
"MIT"
] | 4 | 2019-09-25T21:11:20.000Z | 2020-07-30T03:46:26.000Z | algorithms/policy/MLP.py | intelligent-control-lab/Autoenv | 8d7697421ca14e317ea7de24b6acb694ecae5148 | [
"MIT"
] | null | null | null | algorithms/policy/MLP.py | intelligent-control-lab/Autoenv | 8d7697421ca14e317ea7de24b6acb694ecae5148 | [
"MIT"
] | 1 | 2019-12-21T19:39:20.000Z | 2019-12-21T19:39:20.000Z | import torch.nn as nn
class MLP(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super(MLP, self).__init__()
self.fc1 = nn.Linear(input_size, hidden_size[0])
self.relu = nn.ReLU()
self.fc2 = nn.Linear(hidden_size[0], hidden_size[1])
self.fc3 = nn.Linear... | 28.210526 | 61 | 0.591418 | import torch.nn as nn
class MLP(nn.Module):
def __init__(self, input_size, hidden_size, output_size):
super(MLP, self).__init__()
self.fc1 = nn.Linear(input_size, hidden_size[0])
self.relu = nn.ReLU()
self.fc2 = nn.Linear(hidden_size[0], hidden_size[1])
self.fc3 = nn.Linear... | true | true |
1c0f21924f7bc4bfd06ebb79ac703dcc8331f7a7 | 8,790 | py | Python | third_party/a2c_ppo_acktr/model_split.py | jyf588/SimGAN | 23283d7b5629f1653567b2437bb28aac1cc17169 | [
"Apache-2.0"
] | 30 | 2021-06-16T23:28:58.000Z | 2022-03-23T17:20:58.000Z | third_party/a2c_ppo_acktr/model_split.py | jyf588/SimGAN | 23283d7b5629f1653567b2437bb28aac1cc17169 | [
"Apache-2.0"
] | 1 | 2021-06-25T09:21:29.000Z | 2021-08-11T23:14:14.000Z | third_party/a2c_ppo_acktr/model_split.py | jyf588/SimGAN | 23283d7b5629f1653567b2437bb28aac1cc17169 | [
"Apache-2.0"
] | 8 | 2021-06-19T12:51:50.000Z | 2021-12-23T08:31:10.000Z | # MIT License
#
# Copyright (c) 2017 Ilya Kostrikov and (c) 2020 Google LLC
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights... | 36.625 | 93 | 0.64562 |
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from third_party.a2c_ppo_acktr.distributions import PlainDiagGaussian, FixedNormal
from third_party.a2c_ppo_acktr.utils import init
class Flatten(nn.Module):
def forward(self, x):
return x.view(x.size(0), -1)
class ... | true | true |
1c0f21929afd6e78e31deec37eed9e9ab5bc158b | 1,456 | py | Python | Push2/observable_property_alias.py | phatblat/AbletonLiveMIDIRemoteScripts | ef6e87237a9dcea1046fb6836b18af01b160736a | [
"MIT"
] | 4 | 2015-12-31T19:13:32.000Z | 2017-04-23T19:52:16.000Z | Push2/observable_property_alias.py | phatblat/AbletonLiveMIDIRemoteScripts | ef6e87237a9dcea1046fb6836b18af01b160736a | [
"MIT"
] | 1 | 2015-12-23T09:59:18.000Z | 2015-12-23T18:53:01.000Z | Push2/observable_property_alias.py | phatblat/AbletonLiveMIDIRemoteScripts | ef6e87237a9dcea1046fb6836b18af01b160736a | [
"MIT"
] | null | null | null | # Source Generated with Decompyle++
# File: observable_property_alias.pyc (Python 2.5)
from __future__ import absolute_import
from ableton.v2.base import SlotManager, Slot
class ObservablePropertyAlias(SlotManager):
def __init__(self, alias_host, property_host = None, property_name = '', alias_name = None, g... | 33.090909 | 120 | 0.692995 |
from __future__ import absolute_import
from ableton.v2.base import SlotManager, Slot
class ObservablePropertyAlias(SlotManager):
def __init__(self, alias_host, property_host = None, property_name = '', alias_name = None, getter = None, *a, **k):
super(ObservablePropertyAlias, self).__init__(*a, **a)
... | true | true |
1c0f21d47ecd763a17fdcbab39052b6d7cfded32 | 52,219 | py | Python | sdk/python/pulumi_azure_native/importexport/v20210101/outputs.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/importexport/v20210101/outputs.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/importexport/v20210101/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... | 38.998506 | 316 | 0.635707 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
from . import outputs
from ._enums import *
__all__ = [
'DeliveryPackageInformationResponse',
'DriveBitLockerKeyResponse',
'DriveStatusResponse',
'Encrypt... | true | true |
1c0f21f529204e251d14cf9c1dbe1ee91e0b790b | 143 | py | Python | qmpy/analysis/thermodynamics/setup.py | tachyontraveler/qmpy | f024de3aa85d4367cd31775bd53eede30c74c083 | [
"MIT"
] | 103 | 2015-02-13T16:51:59.000Z | 2022-03-24T22:08:54.000Z | qmpy/analysis/thermodynamics/setup.py | tachyontraveler/qmpy | f024de3aa85d4367cd31775bd53eede30c74c083 | [
"MIT"
] | 59 | 2015-12-02T22:43:21.000Z | 2022-03-28T03:54:44.000Z | qmpy/analysis/thermodynamics/setup.py | tachyontraveler/qmpy | f024de3aa85d4367cd31775bd53eede30c74c083 | [
"MIT"
] | 62 | 2015-02-24T21:58:59.000Z | 2022-03-21T16:49:09.000Z | from distutils.core import setup
from Cython.Build import cythonize
setup(
name="ConvexHull", ext_modules=cythonize("convex_hull.pyx"),
)
| 20.428571 | 64 | 0.776224 | from distutils.core import setup
from Cython.Build import cythonize
setup(
name="ConvexHull", ext_modules=cythonize("convex_hull.pyx"),
)
| true | true |
1c0f22d98bade05babad6d8e55a05fd80949c9c8 | 13,677 | py | Python | data_management/VOC2012ManagerObjDetection.py | PilmautBotics/Tracking_SSD_ReID | 5fa2f83ac48c64dc1be24cc1a156d19ba5908dff | [
"MIT"
] | null | null | null | data_management/VOC2012ManagerObjDetection.py | PilmautBotics/Tracking_SSD_ReID | 5fa2f83ac48c64dc1be24cc1a156d19ba5908dff | [
"MIT"
] | null | null | null | data_management/VOC2012ManagerObjDetection.py | PilmautBotics/Tracking_SSD_ReID | 5fa2f83ac48c64dc1be24cc1a156d19ba5908dff | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Pascal VOC2012 dataset manager
"""
import os
import xml.etree.ElementTree as ET
import numpy as np
import tensorflow as tf
class VOC2012ManagerObjDetection:
def __init__(self, path="", trainRatio=0.7, batch_size=32, floatType=32):
super(VOC2012ManagerO... | 37.781768 | 100 | 0.554581 |
import os
import xml.etree.ElementTree as ET
import numpy as np
import tensorflow as tf
class VOC2012ManagerObjDetection:
def __init__(self, path="", trainRatio=0.7, batch_size=32, floatType=32):
super(VOC2012ManagerObjDetection, self).__init__()
if floatType == 32:
self.floatType =... | true | true |
1c0f24924ca98e03f557023e434b944fabee8751 | 68,903 | py | Python | sarpy/geometry/point_projection.py | khavernathy/sarpy | e0c2bb1a55f153628162ef7be89e9b7de34602df | [
"MIT"
] | null | null | null | sarpy/geometry/point_projection.py | khavernathy/sarpy | e0c2bb1a55f153628162ef7be89e9b7de34602df | [
"MIT"
] | null | null | null | sarpy/geometry/point_projection.py | khavernathy/sarpy | e0c2bb1a55f153628162ef7be89e9b7de34602df | [
"MIT"
] | null | null | null | """
Functions to map between the coordinates in image pixel space and geographical
coordinates.
Examples
--------
.. code-block:: python
from sarpy.geometry import point_projection
from sarpy.io.complex.sicd import SICDReader
reader = SICDReader('<path to sicd file>')
structure = reader.sicd_meta
... | 39.713545 | 152 | 0.669013 |
import logging
from typing import Tuple
from types import MethodType
import numpy
from sarpy.compliance import string_types, int_func
from sarpy.geometry.geocoords import ecf_to_geodetic, geodetic_to_ecf, wgs_84_norm
from sarpy.io.complex.sicd_elements.blocks import Poly2DType, XYZPolyType
from sarpy.io.DEM.DEM imp... | true | true |
1c0f26043de3ecbbd84b62e391bf664a38eab833 | 7,729 | py | Python | Models/model.py | alopezgit/project-adapt | e93ab350344a5504f76f4e460002e0163996f88a | [
"MIT"
] | 8 | 2020-11-28T10:34:38.000Z | 2022-01-18T02:21:40.000Z | Models/model.py | alopezgit/project-adapt | e93ab350344a5504f76f4e460002e0163996f88a | [
"MIT"
] | null | null | null | Models/model.py | alopezgit/project-adapt | e93ab350344a5504f76f4e460002e0163996f88a | [
"MIT"
] | 1 | 2022-03-25T03:05:27.000Z | 2022-03-25T03:05:27.000Z | """
Author: Wouter Van Gansbeke
Licensed under the CC BY-NC 4.0 license (https://creativecommons.org/licenses/by-nc/4.0/)
"""
import torch
import torch.nn as nn
import torch.utils.data
import torch.nn.functional as F
import numpy as np
from .ERFNet import Net
import copy
import Utils.utils as utils
class uncertainty_... | 40.046632 | 172 | 0.598137 |
import torch
import torch.nn as nn
import torch.utils.data
import torch.nn.functional as F
import numpy as np
from .ERFNet import Net
import copy
import Utils.utils as utils
class uncertainty_net(nn.Module):
def __init__(self, in_channels, out_channels=1):
super(uncertainty_net, self).__init__()
o... | true | true |
1c0f26ebfd4cc92e227d25e9b38dba933880471a | 3,506 | py | Python | retriever/try_install_all.py | dmcglinn/retriever | 182f0b59b7d4d97efbe5020d90a9eb5892c4d31b | [
"MIT"
] | null | null | null | retriever/try_install_all.py | dmcglinn/retriever | 182f0b59b7d4d97efbe5020d90a9eb5892c4d31b | [
"MIT"
] | null | null | null | retriever/try_install_all.py | dmcglinn/retriever | 182f0b59b7d4d97efbe5020d90a9eb5892c4d31b | [
"MIT"
] | null | null | null | """Attempt to install all datasets into all database management systems
This module, when run, attempts to install datasets from all Retriever scripts
in the /scripts folder (except for those listed in IGNORE), for each engine in
ENGINE_LIST() from __init__.py. In other words, it runs trys to install using
all possibl... | 32.165138 | 105 | 0.588135 | from __future__ import print_function
from __future__ import absolute_import
import os
import sys
from imp import reload
from retriever.lib.tools import choose_engine
from retriever import MODULE_LIST, ENGINE_LIST, SCRIPT_LIST
reload(sys)
if hasattr(sys, 'setdefaultencoding'):
sys.setdefaultencoding('latin-1')
if ... | true | true |
1c0f277a5ba2ba0f47289d2d57b9354d0f2a36eb | 5,123 | py | Python | venv/Lib/site-packages/text_engine/utils/display.py | GabrielAmare/Darts | 182748d821b8c1838071f3b28724d0d9b095dcf9 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/text_engine/utils/display.py | GabrielAmare/Darts | 182748d821b8c1838071f3b28724d0d9b095dcf9 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/text_engine/utils/display.py | GabrielAmare/Darts | 182748d821b8c1838071f3b28724d0d9b095dcf9 | [
"MIT"
] | null | null | null | from tklib37 import *
from typing import List
from ..base import Result, Result_Unit, Result_List, Result_Error
from ..core.results import *
class Display_BuilderResult(Frame):
CFG = dict(bg="black", fg="yellow", bd=2, relief=RAISED, font=("Consolas", 13), padx=10, pady=4)
def __init__(self, root, result: B... | 37.948148 | 138 | 0.64064 | from tklib37 import *
from typing import List
from ..base import Result, Result_Unit, Result_List, Result_Error
from ..core.results import *
class Display_BuilderResult(Frame):
CFG = dict(bg="black", fg="yellow", bd=2, relief=RAISED, font=("Consolas", 13), padx=10, pady=4)
def __init__(self, root, result: B... | true | true |
1c0f2814f17aa7eda755b54a968a83201ebd0961 | 2,148 | py | Python | scripts/request_generator.py | linncy/EECS4481-LoadBalancing | 263372536a505d822ef5fd3c55ae2b51c653df73 | [
"MIT"
] | null | null | null | scripts/request_generator.py | linncy/EECS4481-LoadBalancing | 263372536a505d822ef5fd3c55ae2b51c653df73 | [
"MIT"
] | null | null | null | scripts/request_generator.py | linncy/EECS4481-LoadBalancing | 263372536a505d822ef5fd3c55ae2b51c653df73 | [
"MIT"
] | null | null | null | """
HTTP Request Generator. It simulates a number of concurrent users sending requests to the web server.
"""
from redis import Redis
import requests
import json
import time
import threading
import sys
if len(sys.argv) < 4:
print('To few arguments; you need to specify 3 arguments.')
print('Default values wil... | 32.545455 | 136 | 0.643855 |
from redis import Redis
import requests
import json
import time
import threading
import sys
if len(sys.argv) < 4:
print('To few arguments; you need to specify 3 arguments.')
print('Default values will be used for server_ip, redis_ip, number of users and interval.\n')
server_ip = '127.0.0.1' redis_ip ... | true | true |
1c0f28574fac6b39087957c85b8cee0c00d31d11 | 2,281 | py | Python | utils.py | sameh999/kalam | 7a867c71daa4d230356d0b85fde2e36397ce608a | [
"MIT"
] | null | null | null | utils.py | sameh999/kalam | 7a867c71daa4d230356d0b85fde2e36397ce608a | [
"MIT"
] | null | null | null | utils.py | sameh999/kalam | 7a867c71daa4d230356d0b85fde2e36397ce608a | [
"MIT"
] | null | null | null | import torch
import librosa
from FastSpeech2.buckwalter import ar2bw, bw2ar
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def load_file_to_data(file, srate = 16_000):
batch = {}
speech, sampling_rate = librosa.load(file, sr=srate)
batch["speech"] = speech
batch["... | 38.016667 | 99 | 0.551512 | import torch
import librosa
from FastSpeech2.buckwalter import ar2bw, bw2ar
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
def load_file_to_data(file, srate = 16_000):
batch = {}
speech, sampling_rate = librosa.load(file, sr=srate)
batch["speech"] = speech
batch["... | true | true |
1c0f295fda3f437f0af6f54ab11140e0241d661e | 242,927 | py | Python | tests/test_edgeql_data_migration.py | sbdchd/edgedb | a70f34d3e5c1477a7755b3531de8f84f2650cf96 | [
"Apache-2.0"
] | 2 | 2019-01-21T05:43:52.000Z | 2019-05-24T02:53:14.000Z | tests/test_edgeql_data_migration.py | ciusji/edgedb | 1c68c02430a92464839f03f43c4e5ad6f7ede4e0 | [
"Apache-2.0"
] | null | null | null | tests/test_edgeql_data_migration.py | ciusji/edgedb | 1c68c02430a92464839f03f43c4e5ad6f7ede4e0 | [
"Apache-2.0"
] | null | null | null | #
# This source file is part of the EdgeDB open source project.
#
# Copyright 2019-present MagicStack Inc. and the EdgeDB 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... | 27.542744 | 79 | 0.398696 |
from __future__ import annotations
from typing import *
import json
import os.path
import re
import textwrap
import uuid
import edgedb
from edb.testbase import server as tb
from edb.tools import test
class TestEdgeQLDataMigration(tb.DDLTestCase):
def normalize_statement(self, s: str) -> str:
re_filte... | true | true |
1c0f2b047cbfd512deaea0073807a8f69734a6a4 | 1,293 | py | Python | setup.py | ErikWe/github-labels-copy | d7e0f464627cc1accf2049eec48369325373a824 | [
"MIT"
] | 7 | 2016-04-29T15:07:02.000Z | 2019-04-14T17:07:29.000Z | setup.py | ErikWe/github-labels-copy | d7e0f464627cc1accf2049eec48369325373a824 | [
"MIT"
] | 4 | 2017-07-07T23:04:36.000Z | 2021-08-16T12:51:49.000Z | setup.py | ErikWe/github-labels-copy | d7e0f464627cc1accf2049eec48369325373a824 | [
"MIT"
] | 3 | 2018-04-29T21:46:08.000Z | 2021-12-09T21:55:47.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
from setuptools import setup
setup(name='githublabelscopy',
version='1.1.1',
description='A tool to copy labels between repositories using Github API',
url='http://github.com/fpietka/github-labels-copy',
author='François Pietka',
author_email='f... | 32.325 | 80 | 0.563805 |
from setuptools import setup
setup(name='githublabelscopy',
version='1.1.1',
description='A tool to copy labels between repositories using Github API',
url='http://github.com/fpietka/github-labels-copy',
author='François Pietka',
author_email='francois@pietka.fr',
license='MIT',
... | true | true |
1c0f2bc94c58174d7858e5ffb7d64efe482ea8ee | 3,367 | py | Python | classifier/train.py | va9abund/GAN-traffic-sign | a9e7cc1c6839cdb0f29f68a951040fb27c64f738 | [
"MIT"
] | null | null | null | classifier/train.py | va9abund/GAN-traffic-sign | a9e7cc1c6839cdb0f29f68a951040fb27c64f738 | [
"MIT"
] | 1 | 2019-05-21T16:32:10.000Z | 2019-05-21T16:32:10.000Z | classifier/train.py | va9abund/GAN-traffic-sign | a9e7cc1c6839cdb0f29f68a951040fb27c64f738 | [
"MIT"
] | 2 | 2019-10-17T11:45:53.000Z | 2021-02-11T01:37:23.000Z | # Python Standard Library
from datetime import datetime
import json
import os
import time
# Public Libraries
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Conv2D, Flatten, Lambda, Dropout, MaxPooling2D
from keras.optimizers import Adam
from keras.utils.vis_utils i... | 30.0625 | 80 | 0.722899 | from datetime import datetime
import json
import os
import time
from keras.utils import np_utils
from keras.models import Sequential
from keras.layers import Dense, Conv2D, Flatten, Lambda, Dropout, MaxPooling2D
from keras.optimizers import Adam
from keras.utils.vis_utils import plot_model
from keras.callbacks import ... | true | true |
1c0f2bccd9ea04211b0d64557b4d98e1e9d2f723 | 2,984 | py | Python | seahub/api2/permissions.py | jjzhang166/seahub | 8ced28759fc1e158196a7743eb149882451f9143 | [
"Apache-2.0"
] | null | null | null | seahub/api2/permissions.py | jjzhang166/seahub | 8ced28759fc1e158196a7743eb149882451f9143 | [
"Apache-2.0"
] | null | null | null | seahub/api2/permissions.py | jjzhang166/seahub | 8ced28759fc1e158196a7743eb149882451f9143 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2012-2016 Seafile Ltd.
"""
Provides a set of pluggable permission policies.
"""
from rest_framework.permissions import BasePermission
from django.conf import settings
from seaserv import check_permission, is_repo_owner, ccnet_api
from seahub.utils import is_pro_version
SAFE_METHODS = ['GET', 'HEAD',... | 31.083333 | 77 | 0.687332 |
from rest_framework.permissions import BasePermission
from django.conf import settings
from seaserv import check_permission, is_repo_owner, ccnet_api
from seahub.utils import is_pro_version
SAFE_METHODS = ['GET', 'HEAD', 'OPTIONS']
class IsRepoWritable(BasePermission):
def has_permission(self, request, view, ... | true | true |
1c0f2beecfa68f1cb208bf62a393c2e994745879 | 14,108 | py | Python | python/opae.io/opae/io/utils.py | rchriste1/opae-sdk | a2b08cab139ebfb320a720bab98a6168748561a4 | [
"BSD-3-Clause"
] | null | null | null | python/opae.io/opae/io/utils.py | rchriste1/opae-sdk | a2b08cab139ebfb320a720bab98a6168748561a4 | [
"BSD-3-Clause"
] | null | null | null | python/opae.io/opae/io/utils.py | rchriste1/opae-sdk | a2b08cab139ebfb320a720bab98a6168748561a4 | [
"BSD-3-Clause"
] | null | null | null | # Copyright(c) 2020, Intel Corporation
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the followi... | 32.063636 | 94 | 0.596328 |
import contextlib
import glob
import grp
import json
import os
import pickle
import pwd
import re
import struct
import subprocess
import sys
import uuid
import time
from enum import Enum
from ctypes import Union, LittleEndianStructure, c_uint64
if sys.version_info[0] == 3:
from pathlib import Path
else:
from... | true | true |
1c0f2c585b2baa70d6ec7d59aab5fb6fa95ad0b4 | 275 | py | Python | exercise 2.py | lucasdasneves/python_puc_minas | aae6f9407e9709130b0f38a8b227cd72b168b80a | [
"MIT"
] | null | null | null | exercise 2.py | lucasdasneves/python_puc_minas | aae6f9407e9709130b0f38a8b227cd72b168b80a | [
"MIT"
] | null | null | null | exercise 2.py | lucasdasneves/python_puc_minas | aae6f9407e9709130b0f38a8b227cd72b168b80a | [
"MIT"
] | null | null | null | #exercise 2
#Faça um programa para calcular e exibir o valor de 𝑃, onde 𝑥, 𝑎
#e 𝑁 são informados pelo usuário, sendo 𝑁 o número de
#termos da sequência:
#Ao final, você deverá armazenar e imprimir todos os termos da
#sequência e o valor de 𝑃.
#𝑃 = 𝑎𝑥^1 + 𝑎𝑥^2 + ... + 𝑎𝑥^n
| 27.5 | 64 | 0.705455 | true | true | |
1c0f2d73c86e8cde46811620362bf4f13c1e1afa | 2,607 | py | Python | python3/koans/07_about_classes.py | shjohnson/python_code_academy | 766be7c2df2c89b9ccabdc9641729603cfd85fe3 | [
"MIT"
] | 2 | 2019-04-29T13:42:30.000Z | 2019-12-10T12:50:06.000Z | python3/koans/07_about_classes.py | shjohnson/python_code_academy | 766be7c2df2c89b9ccabdc9641729603cfd85fe3 | [
"MIT"
] | null | null | null | python3/koans/07_about_classes.py | shjohnson/python_code_academy | 766be7c2df2c89b9ccabdc9641729603cfd85fe3 | [
"MIT"
] | 2 | 2019-03-27T17:30:19.000Z | 2019-04-01T11:07:00.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
class AboutClasses(Koan):
class Dog:
"Dogs need regular walkies. Never, ever let them drive."
def test_instances_of_classes_can_be_created_adding_parentheses(self):
# NOTE: The .__name__ attribute will convert the class
... | 26.602041 | 79 | 0.560798 |
from runner.koan import *
class AboutClasses(Koan):
class Dog:
def test_instances_of_classes_can_be_created_adding_parentheses(self):
fido = self.Dog()
self.assertEqual(__, fido.__class__.__name__)
class Dog2:
def __init__(self):
self._name = 'Paul'
... | true | true |
1c0f2edaa8dd0addd7a9046d2ca72ee929b1b0c0 | 883 | py | Python | src/functions.py | cosmicBboy/software20 | f956a898aeabcb4de1cea59eb0f1d864bf2b343a | [
"MIT"
] | null | null | null | src/functions.py | cosmicBboy/software20 | f956a898aeabcb4de1cea59eb0f1d864bf2b343a | [
"MIT"
] | null | null | null | src/functions.py | cosmicBboy/software20 | f956a898aeabcb4de1cea59eb0f1d864bf2b343a | [
"MIT"
] | null | null | null | from enum import Enum
from typing import List, Tuple
from software20 import optimize
from software20.typing import Identity, Cluster, OrderedEnum
@optimize
def detect_spam(text: str) -> bool:
...
@detect_spam.parser
def _(datum: str) -> Tuple[str, bool]:
target, text = datum.split("\t")
return [text], ... | 16.980769 | 90 | 0.676104 | from enum import Enum
from typing import List, Tuple
from software20 import optimize
from software20.typing import Identity, Cluster, OrderedEnum
@optimize
def detect_spam(text: str) -> bool:
...
@detect_spam.parser
def _(datum: str) -> Tuple[str, bool]:
target, text = datum.split("\t")
return [text], ... | true | true |
1c0f2f604315430e31d53a5a2d79bb75991fca83 | 2,904 | py | Python | homeassistant/components/supla/cover.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 6 | 2020-07-18T16:33:25.000Z | 2021-09-26T09:52:04.000Z | homeassistant/components/supla/cover.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 47 | 2020-07-23T07:13:11.000Z | 2022-03-31T06:01:46.000Z | homeassistant/components/supla/cover.py | klauern/home-assistant-core | c18ba6aec0627e6afb6442c678edb5ff2bb17db6 | [
"Apache-2.0"
] | 5 | 2020-03-29T00:29:13.000Z | 2021-09-06T20:58:40.000Z | """Support for Supla cover - curtains, rollershutters, entry gate etc."""
import logging
from pprint import pformat
from homeassistant.components.cover import (
ATTR_POSITION,
DEVICE_CLASS_GARAGE,
CoverEntity,
)
from homeassistant.components.supla import SuplaChannel
_LOGGER = logging.getLogger(__name__)
... | 28.194175 | 77 | 0.629477 | import logging
from pprint import pformat
from homeassistant.components.cover import (
ATTR_POSITION,
DEVICE_CLASS_GARAGE,
CoverEntity,
)
from homeassistant.components.supla import SuplaChannel
_LOGGER = logging.getLogger(__name__)
SUPLA_SHUTTER = "CONTROLLINGTHEROLLERSHUTTER"
SUPLA_GATE = "CONTROLLINGTH... | true | true |
1c0f2ffebc9e80b8d4fd4e62fe9616c46acd9888 | 5,683 | py | Python | worm.py | zH4x/NetWorm | 501828fc5d6442b4859dfc34f1df74ccae470726 | [
"MIT"
] | 1 | 2020-03-20T16:50:32.000Z | 2020-03-20T16:50:32.000Z | worm.py | AmmarHaddadi/NetWorm | 501828fc5d6442b4859dfc34f1df74ccae470726 | [
"MIT"
] | null | null | null | worm.py | AmmarHaddadi/NetWorm | 501828fc5d6442b4859dfc34f1df74ccae470726 | [
"MIT"
] | 2 | 2021-03-12T16:10:55.000Z | 2021-05-19T09:46:50.000Z | ####################################
# File name: worm.py #
# Author: Filip Komárek (pylyf) #
# Status: Development #
# Date created: 7/6/2018 #
####################################
import nmap
import paramiko
import os
import coloredlogs, logging
import socket
from ur... | 27.587379 | 138 | 0.610065 | import nmap
import paramiko
import os
import coloredlogs, logging
import socket
from urllib.request import urlopen
import urllib
import time
from ftplib import FTP
import ftplib
from shutil import copy2
import win32api
import netifaces
logger = logging.getLogger(__name__)
coloredlogs.install(level='DEBU... | true | true |
1c0f301200a2a36f8e6c23ff4ea006fc4c2ff138 | 1,834 | py | Python | modulo 3/exercicios/Ex084 - Cadastros com lista composta.py | GabrielBrotas/Python | 9441b6b86ff3cb7fa5921b508c484075adac08b3 | [
"MIT"
] | null | null | null | modulo 3/exercicios/Ex084 - Cadastros com lista composta.py | GabrielBrotas/Python | 9441b6b86ff3cb7fa5921b508c484075adac08b3 | [
"MIT"
] | null | null | null | modulo 3/exercicios/Ex084 - Cadastros com lista composta.py | GabrielBrotas/Python | 9441b6b86ff3cb7fa5921b508c484075adac08b3 | [
"MIT"
] | null | null | null | # programa que leia o nome e peso de varias pessoas guardando tudo em uma lista e no final mostre:
# a) quantas pessoas foram cadastradas, b) Uma listagem com as pessoas mais pesadas, c)uma listagem com as pessoas mais leves
dados = []
pessoas = []
pes = 0
lev = 0
pesado = []
leve = []
while True:
# ----------------... | 26.2 | 125 | 0.497819 |
dados = []
pessoas = []
pes = 0
lev = 0
pesado = []
leve = []
while True:
dados.append(str(input('Nome: ')).strip().title())
dados.append((float(input('peso: '))))
pessoas.append(dados[:])
if len(pessoas) == 1:
pes = lev = dados[1]
pesado.append(dados[:])
leve.append(dados[:]... | true | true |
1c0f31272d8dec257802387d260edc58e7577ca9 | 3,443 | py | Python | examples/lm1b/configs/default.py | mattjj/flax | ebc8df57a4e982eaa82f6e5b0d5a399c9bae2032 | [
"Apache-2.0"
] | 1 | 2022-02-27T13:50:55.000Z | 2022-02-27T13:50:55.000Z | examples/lm1b/configs/default.py | mattjj/flax | ebc8df57a4e982eaa82f6e5b0d5a399c9bae2032 | [
"Apache-2.0"
] | null | null | null | examples/lm1b/configs/default.py | mattjj/flax | ebc8df57a4e982eaa82f6e5b0d5a399c9bae2032 | [
"Apache-2.0"
] | null | null | null | # Copyright 2022 The Flax 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 wri... | 28.454545 | 76 | 0.743538 |
import ml_collections
def get_config():
config = ml_collections.ConfigDict()
config.vocab_path = None
config.vocab_size = 30_000
config.max_corpus_chars = 10**7
config.dataset_name = "lm1b"
config.eval_dataset_name = "lm1b"
config.eval_split = "test"
config.per_device_batch_size = 32... | true | true |
1c0f31742892ba77513b4e9e81f4f04084dec225 | 164 | py | Python | stubs.min/System/Windows/__init___parts/FontStyles.py | denfromufa/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | 1 | 2017-07-07T11:15:45.000Z | 2017-07-07T11:15:45.000Z | stubs.min/System/Windows/__init___parts/FontStyles.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | stubs.min/System/Windows/__init___parts/FontStyles.py | hdm-dt-fb/ironpython-stubs | 4d2b405eda3ceed186e8adca55dd97c332c6f49d | [
"MIT"
] | null | null | null | class FontStyles(object):
""" Provides a set of static predefined System.Windows.FontStyle values. """
Italic=None
Normal=None
Oblique=None
__all__=[]
| 20.5 | 78 | 0.713415 | class FontStyles(object):
Italic=None
Normal=None
Oblique=None
__all__=[]
| true | true |
1c0f34aae7a78df3b3d2ad542c979c63cd2a503b | 698 | py | Python | det3d/datasets/__init__.py | alsun-oven/CenterPoint | cafd89c4008270e648e97202bc256aff968e8109 | [
"MIT"
] | 1,124 | 2020-06-22T00:48:18.000Z | 2022-03-31T22:03:35.000Z | det3d/datasets/__init__.py | alsun-oven/CenterPoint | cafd89c4008270e648e97202bc256aff968e8109 | [
"MIT"
] | 290 | 2020-06-23T01:29:04.000Z | 2022-03-29T16:27:32.000Z | det3d/datasets/__init__.py | alsun-oven/CenterPoint | cafd89c4008270e648e97202bc256aff968e8109 | [
"MIT"
] | 326 | 2020-06-22T01:48:10.000Z | 2022-03-31T08:15:08.000Z | from .builder import build_dataset
# from .cityscapes import CityscapesDataset
from .nuscenes import NuScenesDataset
from .waymo import WaymoDataset
# from .custom import CustomDataset
from .dataset_wrappers import ConcatDataset, RepeatDataset
# from .extra_aug import ExtraAugmentation
from .loader import Distribute... | 24.928571 | 75 | 0.777937 | from .builder import build_dataset
from .nuscenes import NuScenesDataset
from .waymo import WaymoDataset
from .dataset_wrappers import ConcatDataset, RepeatDataset
from .loader import DistributedGroupSampler, GroupSampler, build_dataloader
from .registry import DATASETS
__all__ = [
"CustomDataset",
"GroupSa... | true | true |
1c0f34fc90c4fa4c9fc744ebd836e643459a80f2 | 37,356 | py | Python | googleads/ad_manager.py | siilats/googleads-python-lib | d82a9cb75a4b2d602d02039536443f5b30157a43 | [
"Apache-2.0"
] | null | null | null | googleads/ad_manager.py | siilats/googleads-python-lib | d82a9cb75a4b2d602d02039536443f5b30157a43 | [
"Apache-2.0"
] | null | null | null | googleads/ad_manager.py | siilats/googleads-python-lib | d82a9cb75a4b2d602d02039536443f5b30157a43 | [
"Apache-2.0"
] | null | null | null | # Copyright 2013 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ... | 36.986139 | 80 | 0.672074 |
import csv
import datetime
import logging
import numbers
import os
import sys
import time
from urllib.request import build_opener
import pytz
import googleads.common
import googleads.errors
DEFAULT_APPLICATION_NAME = 'INSERT_APPLICATION_NAME_HERE'
DEFAULT_ENDPOINT = 'https://ads.google.com'
SUGGESTED_PAGE_LIMIT = ... | true | true |
1c0f36e18899f3283ff8cec6ea36c70bcb741655 | 44,168 | py | Python | flink-python/pyflink/table/tests/test_descriptor.py | PrachiPrakash/flink | 6d7a15e328e8af6f001d6191c3f167bd8038bf14 | [
"Apache-2.0"
] | 1 | 2020-05-12T09:30:56.000Z | 2020-05-12T09:30:56.000Z | flink-python/pyflink/table/tests/test_descriptor.py | PrachiPrakash/flink | 6d7a15e328e8af6f001d6191c3f167bd8038bf14 | [
"Apache-2.0"
] | 1 | 2019-06-07T13:04:18.000Z | 2019-06-07T13:04:18.000Z | flink-python/pyflink/table/tests/test_descriptor.py | PrachiPrakash/flink | 6d7a15e328e8af6f001d6191c3f167bd8038bf14 | [
"Apache-2.0"
] | null | null | null | ################################################################################
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this... | 40.079855 | 99 | 0.557893 | import os
from pyflink.table.descriptors import (FileSystem, OldCsv, Rowtime, Schema, Kafka,
Elasticsearch, Csv, Avro, Json, CustomConnectorDescriptor,
CustomFormatDescriptor)
from pyflink.table.table_schema import TableSchema
from pyflink.t... | true | true |
1c0f3764977078a116ccfb4232a545c382addc11 | 1,943 | py | Python | bert-pair/code/proto.py | th-nuernberg/fe-relation-extraction-natl21 | e74e29020190bdcf7badff73ccdcb642d7f9d7a3 | [
"Apache-2.0"
] | null | null | null | bert-pair/code/proto.py | th-nuernberg/fe-relation-extraction-natl21 | e74e29020190bdcf7badff73ccdcb642d7f9d7a3 | [
"Apache-2.0"
] | null | null | null | bert-pair/code/proto.py | th-nuernberg/fe-relation-extraction-natl21 | e74e29020190bdcf7badff73ccdcb642d7f9d7a3 | [
"Apache-2.0"
] | null | null | null | import sys
sys.path.append('..')
import fewshot_re_kit
import torch
from torch import autograd, optim, nn
from torch.autograd import Variable
from torch.nn import functional as F
class Proto(fewshot_re_kit.framework.FewShotREModel):
def __init__(self, sentence_encoder, dot=False):
fewshot_re_kit.frame... | 34.696429 | 97 | 0.607308 | import sys
sys.path.append('..')
import fewshot_re_kit
import torch
from torch import autograd, optim, nn
from torch.autograd import Variable
from torch.nn import functional as F
class Proto(fewshot_re_kit.framework.FewShotREModel):
def __init__(self, sentence_encoder, dot=False):
fewshot_re_kit.frame... | true | true |
1c0f378451a1b3d21ebbbae9c7322cd0d77e4bb9 | 25,929 | py | Python | reinforcement_train/onmt/io/TextDataset.py | songhaoyu/RCDG | 962c3b5803b766bd25577460aa90c2741d500d99 | [
"MIT"
] | 35 | 2021-03-17T08:00:57.000Z | 2022-01-21T06:27:57.000Z | NLI_pretrain/onmt/io/TextDataset.py | songhaoyu/RCDG | 962c3b5803b766bd25577460aa90c2741d500d99 | [
"MIT"
] | null | null | null | NLI_pretrain/onmt/io/TextDataset.py | songhaoyu/RCDG | 962c3b5803b766bd25577460aa90c2741d500d99 | [
"MIT"
] | 3 | 2021-04-14T11:15:45.000Z | 2021-10-10T13:21:00.000Z | # -*- coding: utf-8 -*-
from collections import Counter
from itertools import chain
import io
import codecs
import sys
import torch
import torchtext
from onmt.Utils import aeq
from onmt.io.DatasetBase import ONMTDatasetBase, PAD_WORD, BOS_WORD, EOS_WORD
from torch.nn.functional import Variable
from torchtext.data.f... | 39.707504 | 109 | 0.549925 |
from collections import Counter
from itertools import chain
import io
import codecs
import sys
import torch
import torchtext
from onmt.Utils import aeq
from onmt.io.DatasetBase import ONMTDatasetBase, PAD_WORD, BOS_WORD, EOS_WORD
from torch.nn.functional import Variable
from torchtext.data.field import Field
class... | true | true |
1c0f37d99148b8729de82423034e05252ea0402e | 7,955 | py | Python | ds4se/infoxplainer/description/eval/traceability.py | WM-CSCI-435-F19/data-science-4-software-engineering | 3692163df710550d4ee5b399a2a184968a0f18c6 | [
"Apache-2.0"
] | 5 | 2020-12-08T00:38:24.000Z | 2021-11-16T20:00:59.000Z | ds4se/infoxplainer/description/eval/traceability.py | WM-CSCI-435-F19/data-science-4-software-engineering | 3692163df710550d4ee5b399a2a184968a0f18c6 | [
"Apache-2.0"
] | 110 | 2020-09-26T18:36:35.000Z | 2022-03-12T00:54:35.000Z | ds4se/infoxplainer/description/eval/traceability.py | WM-CSCI-435-F19/data-science-4-software-engineering | 3692163df710550d4ee5b399a2a184968a0f18c6 | [
"Apache-2.0"
] | 3 | 2020-12-09T19:23:10.000Z | 2021-02-16T12:54:16.000Z | # AUTOGENERATED! DO NOT EDIT! File to edit: nbs/4.5_infoxplainer.description.eval.traceability.ipynb (unless otherwise specified).
__all__ = ['VectorEvaluation', 'ExploratoryDataSoftwareAnalysis']
# Cell
import ds4se as ds
from ....mining.ir import VectorizationType
from ....mining.ir import SimilarityMetric
from ...... | 37.701422 | 177 | 0.586549 |
__all__ = ['VectorEvaluation', 'ExploratoryDataSoftwareAnalysis']
import ds4se as ds
from ....mining.ir import VectorizationType
from ....mining.ir import SimilarityMetric
from ....mining.ir import EntropyMetric
import numpy as np
import gensim
import pandas as pd
from itertools import product
from random import sa... | true | true |
1c0f386b3b9b12a3476b9e6815b0049798883214 | 11,138 | py | Python | src/condor_tests/htcondor_tests.py | neurodebian/htcondor | 113a5c9921a4fce8a21e3ab96b2c1ba47441bf39 | [
"Apache-2.0"
] | 1 | 2017-02-13T01:25:34.000Z | 2017-02-13T01:25:34.000Z | src/condor_tests/htcondor_tests.py | neurodebian/htcondor | 113a5c9921a4fce8a21e3ab96b2c1ba47441bf39 | [
"Apache-2.0"
] | 1 | 2021-04-06T04:19:40.000Z | 2021-04-06T04:19:40.000Z | src/condor_tests/htcondor_tests.py | neurodebian/htcondor | 113a5c9921a4fce8a21e3ab96b2c1ba47441bf39 | [
"Apache-2.0"
] | 2 | 2017-11-09T01:42:58.000Z | 2020-07-14T20:20:05.000Z | #!/usr/bin/env python
import os
import re
import time
import errno
import signal
import socket
import classad
import unittest
class TestConfig(unittest.TestCase):
def setUp(self):
os.environ["_condor_FOO"] = "BAR"
htcondor.reload_config()
def test_config(self):
self.assertEquals(htco... | 40.355072 | 150 | 0.621566 |
import os
import re
import time
import errno
import signal
import socket
import classad
import unittest
class TestConfig(unittest.TestCase):
def setUp(self):
os.environ["_condor_FOO"] = "BAR"
htcondor.reload_config()
def test_config(self):
self.assertEquals(htcondor.param["FOO"], "BA... | false | true |
1c0f38899904e74f6795a05e9f97b9f599570bb0 | 1,308 | py | Python | neural_network/analyzer.py | VictorRodriguez/master-computer | b5b1199c8fa1725e2409c75fe365b369187eb397 | [
"Apache-2.0"
] | null | null | null | neural_network/analyzer.py | VictorRodriguez/master-computer | b5b1199c8fa1725e2409c75fe365b369187eb397 | [
"Apache-2.0"
] | null | null | null | neural_network/analyzer.py | VictorRodriguez/master-computer | b5b1199c8fa1725e2409c75fe365b369187eb397 | [
"Apache-2.0"
] | null | null | null | import glob
import csv
def get_my_string(file):
try:
with open(file) as inputFileHandle:
return inputFileHandle.read()
except IOError:
sys.stderr.write( "[myScript] - Error: Could not open %s\n" % (file) )
sys.exit(-1)
if __name__ == '__main__':
num_hidden_array = []
... | 23.357143 | 106 | 0.673547 | import glob
import csv
def get_my_string(file):
try:
with open(file) as inputFileHandle:
return inputFileHandle.read()
except IOError:
sys.stderr.write( "[myScript] - Error: Could not open %s\n" % (file) )
sys.exit(-1)
if __name__ == '__main__':
num_hidden_array = []
... | false | true |
1c0f38d3008dc107bcc5831f4e67a287f3498437 | 5,255 | py | Python | deepcarskit/model/neucf/neucmfw0.py | irecsys/DeepCARSKit | 20b861728efa0b416075d2e26c102c509923848e | [
"MIT"
] | null | null | null | deepcarskit/model/neucf/neucmfw0.py | irecsys/DeepCARSKit | 20b861728efa0b416075d2e26c102c509923848e | [
"MIT"
] | null | null | null | deepcarskit/model/neucf/neucmfw0.py | irecsys/DeepCARSKit | 20b861728efa0b416075d2e26c102c509923848e | [
"MIT"
] | 1 | 2022-03-23T07:02:59.000Z | 2022-03-23T07:02:59.000Z | # -*- coding: utf-8 -*-
# @Time : 2022
# @Author : Yong Zheng
r"""
NeuCMFw0
################################################
References
-----
Yong Zheng, Gonzalo Florez Arias. "A Family of Neural Contextual Matrix Factorization Models for Context-Aware Recommendations", ACM UMAP, 2022
Notes
-----
1). NeuCMFw0 has... | 42.379032 | 143 | 0.687345 |
import torch
import torch.nn as nn
from torch.nn.init import normal_
from deepcarskit.model.context_recommender import ContextRecommender
from recbole.model.layers import MLPLayers
from recbole.utils import InputType, EvaluatorType
class NeuCMFw0(ContextRecommender):
input_type = InputType.POINTWISE
de... | true | true |
1c0f3929aaa135b9763bba246d6652b28cc98aa3 | 3,446 | py | Python | startrek/startrek.py | drinkfalconpunch/star-trek | 33c8155f94f11832d925a733b1f3ed6eecdcb31e | [
"MIT"
] | 1 | 2019-08-21T18:56:42.000Z | 2019-08-21T18:56:42.000Z | startrek/startrek.py | drinkfalconpunch/star-trek | 33c8155f94f11832d925a733b1f3ed6eecdcb31e | [
"MIT"
] | 2 | 2021-03-31T19:22:55.000Z | 2021-06-02T00:17:04.000Z | startrek/startrek.py | drinkfalconpunch/star-trek | 33c8155f94f11832d925a733b1f3ed6eecdcb31e | [
"MIT"
] | null | null | null | from startrek.episode import Series
from startrek.spider import StarTrekSpider
from imdb import IMDb
class StarTrek:
_star_trek = {
"Movies": {
"short_name": ["movies"],
"imdb_movie_number": 0
},
"The Next Generation": {
"short_name": ["tng"],
... | 34.46 | 102 | 0.616367 | from startrek.episode import Series
from startrek.spider import StarTrekSpider
from imdb import IMDb
class StarTrek:
_star_trek = {
"Movies": {
"short_name": ["movies"],
"imdb_movie_number": 0
},
"The Next Generation": {
"short_name": ["tng"],
... | true | true |
1c0f3a359ce7e0cdc86c2503704c526a55b20d6a | 4,605 | py | Python | tests/bugs/core_5325_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_5325_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | tests/bugs/core_5325_test.py | reevespaul/firebird-qa | 98f16f425aa9ab8ee63b86172f959d63a2d76f21 | [
"MIT"
] | null | null | null | #coding:utf-8
#
# id: bugs.core_5325
# title: Malformed string error when using cyrilic symbols and x'0d0a' in exception
# decription:
# Ticked is marked as Won't fix, but it seems that sample shown by Adriano is useful for testing.
# Checked on old versions: 3.0.... | 33.613139 | 132 | 0.572204 | # Checked on old versions: 3.0.0.32483, 3.0.2.32703, 3.0.4.32972 -- works OK.
#
# 05-mar-2021. Re-implemented in order to have ability to run this test on Linux.
# Test encodes to UTF8 all needed statements (SET NAMES; CONNECT; DDL and DML) and stores... | true | true |
1c0f3ce268aa2e122ce07af6b1ee92b5475cbf0d | 128 | py | Python | day01.py | zhuanqiguozhibozaq/zxcvbnm | 62e4762eb63e109379ad27543697e4787df71add | [
"Apache-2.0"
] | null | null | null | day01.py | zhuanqiguozhibozaq/zxcvbnm | 62e4762eb63e109379ad27543697e4787df71add | [
"Apache-2.0"
] | null | null | null | day01.py | zhuanqiguozhibozaq/zxcvbnm | 62e4762eb63e109379ad27543697e4787df71add | [
"Apache-2.0"
] | null | null | null | print('Hello world')
def Joker(num):
return num * 10
if __name__ =="__main__":
print(Joker(10))
| 14.222222 | 26 | 0.523438 | print('Hello world')
def Joker(num):
return num * 10
if __name__ =="__main__":
print(Joker(10))
| true | true |
1c0f3dd109e3d5f4d91b5cddcfa31292fec38799 | 11,929 | py | Python | doc/source/sphinxext/sphinxcontrib/spelling.py | veronicatozzo/DaLiLa | 9d8ed4a1adb0a57316e6ca41852da97ffeb23996 | [
"BSD-2-Clause"
] | 17 | 2016-04-05T15:23:20.000Z | 2019-09-13T09:41:27.000Z | doc/source/sphinxext/sphinxcontrib/spelling.py | veronicatozzo/DaLiLa | 9d8ed4a1adb0a57316e6ca41852da97ffeb23996 | [
"BSD-2-Clause"
] | 2 | 2016-04-04T12:25:16.000Z | 2016-07-27T12:58:32.000Z | doc/source/sphinxext/sphinxcontrib/spelling.py | veronicatozzo/DaLiLa | 9d8ed4a1adb0a57316e6ca41852da97ffeb23996 | [
"BSD-2-Clause"
] | 2 | 2017-09-12T06:18:37.000Z | 2018-05-03T03:00:32.000Z | #!/usr/bin/env python
# encoding: utf-8
#
# Copyright (c) 2010 Doug Hellmann. All rights reserved.
#
"""Spelling checker extension for Sphinx.
"""
import codecs
import collections
import imp
import itertools
import os
import re
import textwrap
import tempfile
import xmlrpclib
#from docutils import core
from docutils... | 34.778426 | 93 | 0.607176 |
import codecs
import collections
import imp
import itertools
import os
import re
import textwrap
import tempfile
import xmlrpclib
from docutils.frontend import OptionParser
from docutils.io import StringOutput
import docutils.nodes
from docutils.nodes import GenericNodeVisitor
from docutils.parsers import rst
from do... | true | true |
1c0f3deb95eb9fc27961a33ab4dc07d76d19c222 | 8,591 | py | Python | zoo/policies/cross-rl-agent/cross_rl_agent/train/run_test.py | MCZhi/SMARTS | 3ef5650b04ac6fb7145cf4e23d5534d73e0929fc | [
"MIT"
] | 2 | 2021-12-13T12:41:54.000Z | 2021-12-16T03:10:24.000Z | zoo/policies/cross-rl-agent/cross_rl_agent/train/run_test.py | MCZhi/SMARTS | 3ef5650b04ac6fb7145cf4e23d5534d73e0929fc | [
"MIT"
] | null | null | null | zoo/policies/cross-rl-agent/cross_rl_agent/train/run_test.py | MCZhi/SMARTS | 3ef5650b04ac6fb7145cf4e23d5534d73e0929fc | [
"MIT"
] | null | null | null | # Copyright (C) 2020. Huawei Technologies Co., Ltd. All rights reserved.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to us... | 34.09127 | 106 | 0.600047 |
import argparse
import logging
import warnings
import gym
import numpy as np
import tensorflow as tf
from ac_network import ActorNetwork, CriticNetwork
from adapters import (
action_adapter,
cross_interface,
get_aux_info,
observation_adapter,
reward_adapter,
)
from config import HyperParameters
f... | true | true |
1c0f3e07f059b42b6e1e1ec64159b8848230485d | 5,433 | py | Python | pysnmp/MIB-INTEL-RIP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/MIB-INTEL-RIP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/MIB-INTEL-RIP.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module MIB-INTEL-RIP (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/MIB-INTEL-RIP
# Produced by pysmi-0.3.4 at Mon Apr 29 20:01:48 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 201... | 115.595745 | 567 | 0.757224 | Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ConstraintsUnion, ValueRangeConstraint, SingleValueConstraint, ValueSizeConstraint = mibBuilder.impo... | true | true |
1c0f3f52be97213483c439d1cdda91ed795010ac | 25,813 | py | Python | SMC_V3_11302020.py | pesavent/SMC | 8e53f73b81798761ef3aad3dc94e550eb83a3d9b | [
"MIT"
] | null | null | null | SMC_V3_11302020.py | pesavent/SMC | 8e53f73b81798761ef3aad3dc94e550eb83a3d9b | [
"MIT"
] | null | null | null | SMC_V3_11302020.py | pesavent/SMC | 8e53f73b81798761ef3aad3dc94e550eb83a3d9b | [
"MIT"
] | null | null | null | # This python script was written by a simple biochemist with little formal programming training. Is the code great?
# Nope, but it is indeed functional. The program was designed to accomplish a few quick
# tasks, namely: how many ms2 events occur for a given precursors mass, summing ms2 ions for a given precursor
# ma... | 40.843354 | 166 | 0.540774 | # me at jjp6@stmarys-ca.edu.
# If using pyinstaller to make windows and mac executable programs, you must downgrade
# matplotlib to version 3.1.0 or else it bugs out.
import numpy as np
import tkinter as tk
import time, sys
import matplotlib
#import matplotlib.pyplot as plt
import matplotlib.backends._tkagg
matplotl... | true | true |
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