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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f7f92036ba670d7510d7a2dcce65254cc45e98b5 | 392 | py | Python | solutions/pe00009.py | Derick7/projectEulerSolutions | 586c5bd4d29885906aa469f27113c7ebbb0b0050 | [
"MIT"
] | null | null | null | solutions/pe00009.py | Derick7/projectEulerSolutions | 586c5bd4d29885906aa469f27113c7ebbb0b0050 | [
"MIT"
] | null | null | null | solutions/pe00009.py | Derick7/projectEulerSolutions | 586c5bd4d29885906aa469f27113c7ebbb0b0050 | [
"MIT"
] | null | null | null | def sqrt(n):
return int(n**0.5)
abcSum = 1000
abcPdt = 0
searchRange = [x for x in range(abcSum/2,0,-1)]
for i in searchRange:
for j in [x for x in searchRange if x<i]:
k = 1000 - (i + j)
if k in searchRange and k<j:
if (i**2) == ((j**2)+(k**2)):
abcPdt = i*j*k
... | 21.777778 | 60 | 0.477041 | def sqrt(n):
return int(n**0.5)
abcSum = 1000
abcPdt = 0
searchRange = [x for x in range(abcSum/2,0,-1)]
for i in searchRange:
for j in [x for x in searchRange if x<i]:
k = 1000 - (i + j)
if k in searchRange and k<j:
if (i**2) == ((j**2)+(k**2)):
abcPdt = i*j*k
... | false | true |
f7f921a6b4db6cf121eee3a94fa22d3e6bc9143c | 574 | py | Python | saleor/graphql/order/tests/benchmark/fixtures.py | hereischen/saleor | 26bd271ac32312a415b0c5e1987e92fe939b3cb5 | [
"CC-BY-4.0"
] | null | null | null | saleor/graphql/order/tests/benchmark/fixtures.py | hereischen/saleor | 26bd271ac32312a415b0c5e1987e92fe939b3cb5 | [
"CC-BY-4.0"
] | null | null | null | saleor/graphql/order/tests/benchmark/fixtures.py | hereischen/saleor | 26bd271ac32312a415b0c5e1987e92fe939b3cb5 | [
"CC-BY-4.0"
] | null | null | null | import uuid
import pytest
from prices import Money, TaxedMoney
from .....order.models import Order
@pytest.fixture
def orders_for_benchmarks(channel_USD, address, customer_user):
orders = [
Order(
token=str(uuid.uuid4()),
channel=channel_USD,
billing_address=address.g... | 24.956522 | 73 | 0.627178 | import uuid
import pytest
from prices import Money, TaxedMoney
from .....order.models import Order
@pytest.fixture
def orders_for_benchmarks(channel_USD, address, customer_user):
orders = [
Order(
token=str(uuid.uuid4()),
channel=channel_USD,
billing_address=address.g... | true | true |
f7f922da71d5b0b3cd3455181465feb7dfb1351d | 3,511 | py | Python | scripts/test-omw-cili-db.py | sehqlr/OMW | 008bd8a96c7bd054b7284a407dc8e12167ec8832 | [
"MIT"
] | 33 | 2016-08-18T02:42:16.000Z | 2021-07-07T02:38:55.000Z | scripts/test-omw-cili-db.py | sehqlr/OMW | 008bd8a96c7bd054b7284a407dc8e12167ec8832 | [
"MIT"
] | 82 | 2016-12-05T11:40:41.000Z | 2021-03-17T08:44:40.000Z | scripts/test-omw-cili-db.py | sehqlr/OMW | 008bd8a96c7bd054b7284a407dc8e12167ec8832 | [
"MIT"
] | 12 | 2016-08-01T01:54:06.000Z | 2020-10-03T09:48:48.000Z | import sqlite3
import sys, time
dbfile = "omw.db"
con = sqlite3.connect(dbfile)
curs = con.cursor()
print("\nYou should be testing over an empty table!")
print("Failure to comply will result in foreverness... \n")
commandlist = [
("""PRAGMA foreign_keys = 1;""",
"""Activating foreign key constraints"""),
("""INSER... | 24.552448 | 73 | 0.603817 | import sqlite3
import sys, time
dbfile = "omw.db"
con = sqlite3.connect(dbfile)
curs = con.cursor()
print("\nYou should be testing over an empty table!")
print("Failure to comply will result in foreverness... \n")
commandlist = [
("""PRAGMA foreign_keys = 1;""",
"""Activating foreign key constraints"""),
("""INSER... | true | true |
f7f9233d897360bac62ea4d7b7be7ffcec670b27 | 22,498 | py | Python | photutils/psf/tests/test_photometry.py | fdeugenio/photutils | 33c8b15cbbda85dc11c86a73217422dcb61398b7 | [
"BSD-3-Clause"
] | null | null | null | photutils/psf/tests/test_photometry.py | fdeugenio/photutils | 33c8b15cbbda85dc11c86a73217422dcb61398b7 | [
"BSD-3-Clause"
] | null | null | null | photutils/psf/tests/test_photometry.py | fdeugenio/photutils | 33c8b15cbbda85dc11c86a73217422dcb61398b7 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
import pytest
import numpy as np
from numpy.testing import assert_allclose, assert_array_equal, assert_equal
from astropy.convolution.utils import discretize_model
from astropy.modeling import Parameter, Fittable2DModel
from astropy.modeling.fitting impo... | 37.496667 | 79 | 0.622189 |
import pytest
import numpy as np
from numpy.testing import assert_allclose, assert_array_equal, assert_equal
from astropy.convolution.utils import discretize_model
from astropy.modeling import Parameter, Fittable2DModel
from astropy.modeling.fitting import LevMarLSQFitter
from astropy.modeling.models import Gaussian... | true | true |
f7f923ba2aef1be38b7b79a65357cb7ea026281c | 16,018 | py | Python | tests/contrib/gp/test_models.py | gavincangan/pyro | d9115a6da7edd7e3fecd6b89a850cc137d7e7e9a | [
"MIT"
] | null | null | null | tests/contrib/gp/test_models.py | gavincangan/pyro | d9115a6da7edd7e3fecd6b89a850cc137d7e7e9a | [
"MIT"
] | 4 | 2019-01-31T17:54:03.000Z | 2019-02-07T07:09:51.000Z | tests/contrib/gp/test_models.py | gavincangan/pyro | d9115a6da7edd7e3fecd6b89a850cc137d7e7e9a | [
"MIT"
] | null | null | null | from __future__ import absolute_import, division, print_function
import logging
from collections import defaultdict, namedtuple
import pytest
import torch
import pyro.distributions as dist
from pyro.contrib.gp.kernels import Cosine, Matern32, RBF, WhiteNoise
from pyro.contrib.gp.likelihoods import Gaussian
from pyro... | 34.973799 | 94 | 0.648021 | from __future__ import absolute_import, division, print_function
import logging
from collections import defaultdict, namedtuple
import pytest
import torch
import pyro.distributions as dist
from pyro.contrib.gp.kernels import Cosine, Matern32, RBF, WhiteNoise
from pyro.contrib.gp.likelihoods import Gaussian
from pyro... | true | true |
f7f924ad1810a0c8444d100e2966267673bb8db2 | 58 | py | Python | HAFTA-3/DERS-8/for_string.py | aydan08/Python-Kursu-15.02.21 | a1463501df47cacbd7ddd8c6f3aeb93abf1436f6 | [
"MIT"
] | 1 | 2021-03-08T16:16:35.000Z | 2021-03-08T16:16:35.000Z | HAFTA-3/DERS-8/for_string.py | aydan08/Python-Kursu-15.02.21 | a1463501df47cacbd7ddd8c6f3aeb93abf1436f6 | [
"MIT"
] | null | null | null | HAFTA-3/DERS-8/for_string.py | aydan08/Python-Kursu-15.02.21 | a1463501df47cacbd7ddd8c6f3aeb93abf1436f6 | [
"MIT"
] | null | null | null | for karakter in "Arhavi Halk Eğitim":
print(karakter) | 29 | 38 | 0.724138 | for karakter in "Arhavi Halk Eğitim":
print(karakter) | true | true |
f7f92575fe8831a6bc80d1edb600f2a04ffecd01 | 722 | py | Python | pythia/opal/content/Style.py | willic3/pythia | 2657b95a0c07fd3c914ab6b5f7ec89a8edba004c | [
"BSD-3-Clause"
] | 1 | 2015-11-30T08:01:39.000Z | 2015-11-30T08:01:39.000Z | pythia/opal/content/Style.py | willic3/pythia | 2657b95a0c07fd3c914ab6b5f7ec89a8edba004c | [
"BSD-3-Clause"
] | 27 | 2018-05-24T18:31:25.000Z | 2021-10-16T03:57:52.000Z | pythia/opal/content/Style.py | willic3/pythia | 2657b95a0c07fd3c914ab6b5f7ec89a8edba004c | [
"BSD-3-Clause"
] | 7 | 2019-07-19T02:30:56.000Z | 2021-06-02T22:00:01.000Z | #!/usr/bin/env python
#
# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
#
# Michael A.G. Aivazis
# California Institute of Technology
# (C) 1998-2005 All Rights Reserved
#
# {LicenseText}
#
# ~~~~~~~~~~~~~~~~~~~~~~~~... | 20.628571 | 80 | 0.429363 |
from .Element import Element
class Style(Element):
def identify(self, inspector):
return inspector.onStyle(self)
def __init__(self, **kwds):
Element.__init__(self, 'style', **kwds)
self.style = []
return
__id__ = "$Id: Style.py,v 1.1 2005/03/20 07:22:58 aiv... | true | true |
f7f92649f6a7e136179d208d352aa824ff4cae2a | 2,013 | py | Python | rlkit/envs/mujoco/ant.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2020-10-23T14:40:09.000Z | 2020-10-23T14:40:09.000Z | rlkit/envs/mujoco/ant.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | null | null | null | rlkit/envs/mujoco/ant.py | Asap7772/railrl_evalsawyer | baba8ce634d32a48c7dfe4dc03b123e18e96e0a3 | [
"MIT"
] | 1 | 2021-05-27T20:38:45.000Z | 2021-05-27T20:38:45.000Z | """
Exact same as gym env, except that the gear ratio is 30 rather than 150.
"""
import numpy as np
from gym.envs.mujoco import MujocoEnv
from rlkit.envs.env_utils import get_asset_full_path
class AntEnv(MujocoEnv):
def __init__(self, use_low_gear_ratio=True):
if use_low_gear_ratio:
xml_path... | 33.55 | 92 | 0.614506 | import numpy as np
from gym.envs.mujoco import MujocoEnv
from rlkit.envs.env_utils import get_asset_full_path
class AntEnv(MujocoEnv):
def __init__(self, use_low_gear_ratio=True):
if use_low_gear_ratio:
xml_path = 'low_gear_ratio_ant.xml'
else:
xml_path = 'normal_gear_rat... | true | true |
f7f9266919d061fe61748360909c290f275d7b13 | 45,365 | py | Python | Lib/fontTools/ttLib/tables/_c_m_a_p.py | ctrlcctrlv/fonttools | 81d0042a9ee35d4ac91a9b4525db665f204c06e0 | [
"Apache-2.0",
"MIT"
] | 2 | 2021-04-07T16:47:04.000Z | 2022-01-15T04:01:01.000Z | Lib/fontTools/ttLib/tables/_c_m_a_p.py | ctrlcctrlv/fonttools | 81d0042a9ee35d4ac91a9b4525db665f204c06e0 | [
"Apache-2.0",
"MIT"
] | 74 | 2020-01-30T07:27:54.000Z | 2021-08-03T05:47:17.000Z | Lib/fontTools/ttLib/tables/_c_m_a_p.py | ctrlcctrlv/fonttools | 81d0042a9ee35d4ac91a9b4525db665f204c06e0 | [
"Apache-2.0",
"MIT"
] | 1 | 2020-01-22T20:06:09.000Z | 2020-01-22T20:06:09.000Z | from fontTools.misc.py23 import *
from fontTools.misc.textTools import safeEval, readHex
from fontTools.misc.encodingTools import getEncoding
from fontTools.ttLib import getSearchRange
from fontTools.unicode import Unicode
from . import DefaultTable
import sys
import struct
import array
import logging
log = logging.g... | 34.78911 | 191 | 0.696308 | from fontTools.misc.py23 import *
from fontTools.misc.textTools import safeEval, readHex
from fontTools.misc.encodingTools import getEncoding
from fontTools.ttLib import getSearchRange
from fontTools.unicode import Unicode
from . import DefaultTable
import sys
import struct
import array
import logging
log = logging.g... | true | true |
f7f926ed34066ddacdcd3afe5880a5e521b52bc1 | 480 | py | Python | OpenCV2/Image_Processing/Canny_Edge_Detection.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | OpenCV2/Image_Processing/Canny_Edge_Detection.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | OpenCV2/Image_Processing/Canny_Edge_Detection.py | siddharth-143/Python | 293f4643a3a13e3b82d23fd8922db54dbb0f12bc | [
"MIT"
] | null | null | null | """
OpenCV Canny Edge Detection :
Edge detection is term where identify the boundary of object in image.
"""
# importing module
import cv2
import numpy as np
# image path
img = cv2.imread("../images/1.jpeg")
# canny edge detection
edges = cv2.Canny(img, 100, 200)
# display the image
cv2.imshow("Edge detecti... | 19.2 | 74 | 0.725 |
import cv2
import numpy as np
img = cv2.imread("../images/1.jpeg")
edges = cv2.Canny(img, 100, 200)
cv2.imshow("Edge detection image", edges)
cv2.imshow("Original image", img)
cv2.waitKey(0)
cv2.destroyAllWindows()
| true | true |
f7f92756d4144e78fb3424cd6acd0c6a581225e4 | 1,209 | py | Python | desktopmagic/scripts/screengrab_torture_test.py | p3rd1x/Desktopmagic | 906cbe16f4e6c5fea7121c186ff8c6e7c997b2f7 | [
"MIT"
] | 49 | 2015-05-20T08:19:42.000Z | 2021-11-12T17:20:40.000Z | desktopmagic/scripts/screengrab_torture_test.py | p3rd1x/Desktopmagic | 906cbe16f4e6c5fea7121c186ff8c6e7c997b2f7 | [
"MIT"
] | 9 | 2015-06-17T22:47:21.000Z | 2022-03-15T09:00:28.000Z | desktopmagic/scripts/screengrab_torture_test.py | p3rd1x/Desktopmagic | 906cbe16f4e6c5fea7121c186ff8c6e7c997b2f7 | [
"MIT"
] | 16 | 2015-12-13T18:34:45.000Z | 2021-02-17T13:50:17.000Z | from __future__ import print_function
import sys
from desktopmagic.screengrab_win32 import GrabFailed, getScreenAsImage, getDisplaysAsImages, getRectAsImage
def main():
print("""\
This program helps you test whether screengrab_win32 has memory leaks
and other problems. It takes a screenshot repeatedly and discards... | 24.18 | 107 | 0.732837 | from __future__ import print_function
import sys
from desktopmagic.screengrab_win32 import GrabFailed, getScreenAsImage, getDisplaysAsImages, getRectAsImage
def main():
print("""\
This program helps you test whether screengrab_win32 has memory leaks
and other problems. It takes a screenshot repeatedly and discards... | true | true |
f7f927d5ac30fab3f5f2adddff8da39245dd8131 | 998 | py | Python | flaskr/__init__.py | iJKENNEDY/template_flask | 9810d2ab5750ec3603203a12004d21aed3bc61be | [
"MIT"
] | null | null | null | flaskr/__init__.py | iJKENNEDY/template_flask | 9810d2ab5750ec3603203a12004d21aed3bc61be | [
"MIT"
] | null | null | null | flaskr/__init__.py | iJKENNEDY/template_flask | 9810d2ab5750ec3603203a12004d21aed3bc61be | [
"MIT"
] | null | null | null | import os
from flask import Flask
def create_app(test_config=None):
# create and configure the app
app = Flask(__name__, instance_relative_config=True)
app.config.from_mapping(
SECRET_KEY='dev',
DATABASE=os.path.join(app.instance_path, 'flaskr.sqlite'),
)
if test_config is None:
... | 23.761905 | 66 | 0.650301 | import os
from flask import Flask
def create_app(test_config=None):
app = Flask(__name__, instance_relative_config=True)
app.config.from_mapping(
SECRET_KEY='dev',
DATABASE=os.path.join(app.instance_path, 'flaskr.sqlite'),
)
if test_config is None:
app.config.fr... | true | true |
f7f9284e0b60183c0350cf42a0c81e48b3757b0c | 201 | py | Python | nbds_colab/ensemble1.py | hallmx/nbds_colab | 77e5cab5805a95cc1c80f7ee3ca9429c94e1876a | [
"Apache-2.0"
] | null | null | null | nbds_colab/ensemble1.py | hallmx/nbds_colab | 77e5cab5805a95cc1c80f7ee3ca9429c94e1876a | [
"Apache-2.0"
] | 2 | 2021-09-28T00:53:05.000Z | 2022-02-26T06:41:34.000Z | nbds_colab/ensemble1.py | hallmx/nbds_colab | 77e5cab5805a95cc1c80f7ee3ca9429c94e1876a | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: 08_ensemble1.ipynb (unless otherwise specified).
__all__ = ['ensemble1_test']
# Cell
def ensemble1_test(test_msg):
"Function ensemble1"
return test_msg | 25.125 | 92 | 0.766169 |
__all__ = ['ensemble1_test']
def ensemble1_test(test_msg):
return test_msg | true | true |
f7f929eec1c39bd6596a57c691c9257c4fac1c2b | 2,402 | py | Python | sdk/python/pulumi_azure_nextgen/azurestack/latest/get_registration_activation_key.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/azurestack/latest/get_registration_activation_key.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_nextgen/azurestack/latest/get_registration_activation_key.py | test-wiz-sec/pulumi-azure-nextgen | 20a695af0d020b34b0f1c336e1b69702755174cc | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__a... | 36.953846 | 166 | 0.710241 |
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union
from ... import _utilities, _tables
__all__ = [
'GetRegistrationActivationKeyResult',
'AwaitableGetRegistrationActivationKeyResult',
'get_registration_activation_key',
]
@pulumi.output_type
c... | true | true |
f7f92a15a8847696c90342e9eaf5928425147312 | 20,984 | py | Python | tensorflow/contrib/tensor_forest/client/random_forest.py | wunlung/tensorflow | e2b05608125d66716ada95433850b3ce8405c1e4 | [
"Apache-2.0"
] | 1 | 2021-04-14T07:48:21.000Z | 2021-04-14T07:48:21.000Z | tensorflow/contrib/tensor_forest/client/random_forest.py | ggaziv/tensorflow | e2b05608125d66716ada95433850b3ce8405c1e4 | [
"Apache-2.0"
] | null | null | null | tensorflow/contrib/tensor_forest/client/random_forest.py | ggaziv/tensorflow | e2b05608125d66716ada95433850b3ce8405c1e4 | [
"Apache-2.0"
] | 1 | 2018-03-16T05:49:15.000Z | 2018-03-16T05:49:15.000Z | # Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 39.07635 | 85 | 0.697674 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from tensorflow.contrib import framework as contrib_framework
from tensorflow.contrib.learn.python.learn.estimators import estimator
from tensorflow.contrib.learn.python.learn.estimators import h... | true | true |
f7f92a9a5709c2b464a4d05e569d5f8996fbcf5b | 6,372 | py | Python | airbyte-integrations/connectors/source-file/integration_tests/conftest.py | golf-canada/airbyte | a81b183a6b62d6bb4256347aaf39a3ada061aabe | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-file/integration_tests/conftest.py | golf-canada/airbyte | a81b183a6b62d6bb4256347aaf39a3ada061aabe | [
"MIT"
] | null | null | null | airbyte-integrations/connectors/source-file/integration_tests/conftest.py | golf-canada/airbyte | a81b183a6b62d6bb4256347aaf39a3ada061aabe | [
"MIT"
] | null | null | null | """
MIT License
Copyright (c) 2020 Airbyte
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 use, copy, modify, merge, publish, distr... | 34.258065 | 132 | 0.719083 |
import json
import os
import socket
import tempfile
import uuid
from pathlib import Path
from typing import Mapping
import boto3
import pandas
import pytest
from botocore.errorfactory import ClientError
from google.api_core.exceptions import Conflict
from google.cloud import storage
from paramiko.client import AutoA... | true | true |
f7f92ac258f92ba7447035ac1330134b91ddfd9d | 21,250 | py | Python | src/bin/calc_rec-cycrec-gv_gru-cycle-mcepvae-laplace_noar.py | entn-at/cyclevae-vc-neuralvoco | e0188457fe6d16e53b91066600dfe6fd5a9f8c23 | [
"Apache-2.0"
] | null | null | null | src/bin/calc_rec-cycrec-gv_gru-cycle-mcepvae-laplace_noar.py | entn-at/cyclevae-vc-neuralvoco | e0188457fe6d16e53b91066600dfe6fd5a9f8c23 | [
"Apache-2.0"
] | null | null | null | src/bin/calc_rec-cycrec-gv_gru-cycle-mcepvae-laplace_noar.py | entn-at/cyclevae-vc-neuralvoco | e0188457fe6d16e53b91066600dfe6fd5a9f8c23 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 2020 Patrick Lumban Tobing (Nagoya University)
# Apache 2.0 (http://www.apache.org/licenses/LICENSE-2.0)
from __future__ import division
import argparse
import logging
import math
import os
import sys
import numpy as np
import torch
import torch.multiproce... | 52.339901 | 146 | 0.559059 |
from __future__ import division
import argparse
import logging
import math
import os
import sys
import numpy as np
import torch
import torch.multiprocessing as mp
from vcneuvoco import GRU_VAE_ENCODER, GRU_SPEC_DECODER
from utils import find_files, read_hdf5, read_txt, write_hdf5, check_hdf5
from dtw_c import... | true | true |
f7f92b3d5ade59f2c089c5df9977c0f9a575a74e | 13,383 | py | Python | athena/models/speech_transformer.py | hyx100e/athena-1 | 2668de7acdd51a6d12a2768a57351b666b4edbf3 | [
"Apache-2.0"
] | 1 | 2019-12-25T06:38:03.000Z | 2019-12-25T06:38:03.000Z | athena/models/speech_transformer.py | cookingbear/athena | 2ff02d5f54070563c6a600199ae9e8d3ca3c66dd | [
"Apache-2.0"
] | null | null | null | athena/models/speech_transformer.py | cookingbear/athena | 2ff02d5f54070563c6a600199ae9e8d3ca3c66dd | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright (C) 2019 ATHENA AUTHORS; Xiangang Li; Dongwei Jiang; Xiaoning Lei
# 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.o... | 41.305556 | 104 | 0.62826 |
from absl import logging
import tensorflow as tf
from .base import BaseModel
from ..loss import Seq2SeqSparseCategoricalCrossentropy
from ..metrics import Seq2SeqSparseCategoricalAccuracy
from ..utils.misc import generate_square_subsequent_mask, insert_sos_in_labels
from ..layers.commons import Pos... | true | true |
f7f92b8f50b0af5bf26719bffb221c20f87f5a30 | 510 | py | Python | IRIS_data_download/IRIS_download_support/obspy/io/scardec/tests/__init__.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 2 | 2020-03-05T01:03:01.000Z | 2020-12-17T05:04:07.000Z | IRIS_data_download/IRIS_download_support/obspy/io/scardec/tests/__init__.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 4 | 2021-03-31T19:25:55.000Z | 2021-12-13T20:32:46.000Z | IRIS_data_download/IRIS_download_support/obspy/io/scardec/tests/__init__.py | earthinversion/Fnet_IRIS_data_automated_download | 09a6e0c992662feac95744935e038d1c68539fa1 | [
"MIT"
] | 2 | 2020-09-08T19:33:40.000Z | 2021-04-05T09:47:50.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import * # NOQA
import unittest
from obspy.core.util import add_doctests, add_unittests
MODULE_NAME = "obspy.io.scardec"
def suite():
... | 21.25 | 66 | 0.7 |
from __future__ import (absolute_import, division, print_function,
unicode_literals)
from future.builtins import *
import unittest
from obspy.core.util import add_doctests, add_unittests
MODULE_NAME = "obspy.io.scardec"
def suite():
suite = unittest.TestSuite()
add_doctests(sui... | true | true |
f7f92c5acea418b4e2d911fc0bb0bf005281d9ac | 18,818 | py | Python | TME 11. MADDPG/utils.py | hanouticelina/reinforcement-learning | c7c6765486ea9546bbd8ce75e6032a408a1410cf | [
"MIT"
] | null | null | null | TME 11. MADDPG/utils.py | hanouticelina/reinforcement-learning | c7c6765486ea9546bbd8ce75e6032a408a1410cf | [
"MIT"
] | null | null | null | TME 11. MADDPG/utils.py | hanouticelina/reinforcement-learning | c7c6765486ea9546bbd8ce75e6032a408a1410cf | [
"MIT"
] | null | null | null | import time
import subprocess
from collections import namedtuple,defaultdict
import logging
import json
import os
import yaml
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import sys
import threading
import numpy as np
import gym
from collections import deque
import random
import... | 31.052805 | 145 | 0.587416 | import time
import subprocess
from collections import namedtuple,defaultdict
import logging
import json
import os
import yaml
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
import sys
import threading
import numpy as np
import gym
from collections import deque
import random
import... | true | true |
f7f92ced61d900672394cb62f5631ec72b8361a7 | 660 | py | Python | examples/web_counter/tdmf_components.py | cmdimkpa/test-driven-modular-framework | 3006557ddc5a9e52c59fb492f5d01a130ab1c759 | [
"MIT"
] | null | null | null | examples/web_counter/tdmf_components.py | cmdimkpa/test-driven-modular-framework | 3006557ddc5a9e52c59fb492f5d01a130ab1c759 | [
"MIT"
] | null | null | null | examples/web_counter/tdmf_components.py | cmdimkpa/test-driven-modular-framework | 3006557ddc5a9e52c59fb492f5d01a130ab1c759 | [
"MIT"
] | null | null | null | def download_webpage(package):
'''
Grab HTML from a webpage
'''
func_name = "download_webpage"
output = []
try:
# package is an array with a single url
url = package[0]
# grab HTML
html = http.get(url).content.decode()
# update byte_coun... | 24.444444 | 71 | 0.560606 | def download_webpage(package):
func_name = "download_webpage"
output = []
try:
url = package[0]
html = http.get(url).content.decode()
byte_counter = flags.get("byte_counter")
byte_counter += len(html)
flags.set("byte_counter", by... | true | true |
f7f92d2a185da5e809f82b907637b43fff531049 | 31,958 | py | Python | msal/application.py | dsanghan/microsoft-authentication-library-for-python | 9e122eeb4cd1224132eb06001f9d88939a996f8e | [
"MIT"
] | null | null | null | msal/application.py | dsanghan/microsoft-authentication-library-for-python | 9e122eeb4cd1224132eb06001f9d88939a996f8e | [
"MIT"
] | null | null | null | msal/application.py | dsanghan/microsoft-authentication-library-for-python | 9e122eeb4cd1224132eb06001f9d88939a996f8e | [
"MIT"
] | null | null | null | import time
try: # Python 2
from urlparse import urljoin
except: # Python 3
from urllib.parse import urljoin
import logging
import sys
import warnings
import requests
from .oauth2cli import Client, JwtAssertionCreator
from .authority import Authority
from .mex import send_request as mex_send_request
from .w... | 49.547287 | 175 | 0.632486 | import time
try:
from urlparse import urljoin
except:
from urllib.parse import urljoin
import logging
import sys
import warnings
import requests
from .oauth2cli import Client, JwtAssertionCreator
from .authority import Authority
from .mex import send_request as mex_send_request
from .wstrust_request impor... | true | true |
f7f92d7bbc0ba48633b173e01370fd92e948128d | 2,487 | py | Python | paver/path.py | timgates42/paver | 62fb3d8e32c3727777b3ff7d75ba1b9b75703027 | [
"BSD-3-Clause"
] | 270 | 2015-01-10T01:00:09.000Z | 2022-03-13T21:05:27.000Z | paver/path.py | timgates42/paver | 62fb3d8e32c3727777b3ff7d75ba1b9b75703027 | [
"BSD-3-Clause"
] | 84 | 2015-02-10T18:45:25.000Z | 2021-06-21T14:55:33.000Z | paver/path.py | timgates42/paver | 62fb3d8e32c3727777b3ff7d75ba1b9b75703027 | [
"BSD-3-Clause"
] | 37 | 2015-03-26T14:05:33.000Z | 2022-03-22T12:32:19.000Z | """
Wrapper around path.py to add dry run support and other paver integration.
"""
import functools
import os
from contextlib import contextmanager
import sys
if sys.version_info[0] == 3:
from paver.deps.path3 import path as _orig_path
else:
from paver.deps.path2 import path as _orig_path
from paver import ta... | 29.258824 | 79 | 0.6538 | import functools
import os
from contextlib import contextmanager
import sys
if sys.version_info[0] == 3:
from paver.deps.path3 import path as _orig_path
else:
from paver.deps.path2 import path as _orig_path
from paver import tasks
__all__ = ['path', 'pushd']
@contextmanager
def pushd(dir):
old_dir = os... | true | true |
f7f92f16a0d81de0c0ec408c6ec977683965b962 | 116 | py | Python | todo/tasks/admin.py | vijay0707/ToDo-List-Django | 388b338bc1394b46fc826c737c58b5977ccc6716 | [
"MIT"
] | null | null | null | todo/tasks/admin.py | vijay0707/ToDo-List-Django | 388b338bc1394b46fc826c737c58b5977ccc6716 | [
"MIT"
] | null | null | null | todo/tasks/admin.py | vijay0707/ToDo-List-Django | 388b338bc1394b46fc826c737c58b5977ccc6716 | [
"MIT"
] | null | null | null | from django.contrib import admin
# Register your models here.
from .models import *
admin.site.register(Taskmodel) | 19.333333 | 32 | 0.793103 | from django.contrib import admin
from .models import *
admin.site.register(Taskmodel) | true | true |
f7f92f6cb89c32d1d993c838e48103ec401169d0 | 2,764 | py | Python | DQM/TrackingMonitorClient/python/TrackingClientConfig_Tier0_Cosmic_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 6 | 2017-09-08T14:12:56.000Z | 2022-03-09T23:57:01.000Z | DQM/TrackingMonitorClient/python/TrackingClientConfig_Tier0_Cosmic_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 545 | 2017-09-19T17:10:19.000Z | 2022-03-07T16:55:27.000Z | DQM/TrackingMonitorClient/python/TrackingClientConfig_Tier0_Cosmic_cff.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 14 | 2017-10-04T09:47:21.000Z | 2019-10-23T18:04:45.000Z | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
# TrackingOfflineDQM (for Tier0 Harvesting Step) ####
trackingOfflineAnalyser = DQMEDHarvester("TrackingOfflineDQM",
GlobalStatusFilling = cms.untracked.int32(2),
UsedWithEDMtoMEConverter = cms.untrack... | 42.523077 | 117 | 0.591172 | import FWCore.ParameterSet.Config as cms
from DQMServices.Core.DQMEDHarvester import DQMEDHarvester
fflineAnalyser = DQMEDHarvester("TrackingOfflineDQM",
GlobalStatusFilling = cms.untracked.int32(2),
UsedWithEDMtoMEConverter = cms.untracked.bool(True),
TopFolderName = cms.untracked.st... | true | true |
f7f930962fb927dd80bf6bf81062fcff9591a9df | 3,586 | py | Python | setupext.py | matthewturk/yt_astro_analysis | 84689a6e3495938b2a2da98d1589ce79410f6393 | [
"BSD-3-Clause-Clear"
] | null | null | null | setupext.py | matthewturk/yt_astro_analysis | 84689a6e3495938b2a2da98d1589ce79410f6393 | [
"BSD-3-Clause-Clear"
] | null | null | null | setupext.py | matthewturk/yt_astro_analysis | 84689a6e3495938b2a2da98d1589ce79410f6393 | [
"BSD-3-Clause-Clear"
] | null | null | null | import contextlib
import glob
import os
import subprocess
import sys
import tempfile
from distutils import log
from distutils.ccompiler import new_compiler
from distutils.sysconfig import customize_compiler
from distutils.errors import CompileError, LinkError
CCODE = """
#include <omp.h>
#include <stdio.h>
int main(... | 29.393443 | 74 | 0.621584 | import contextlib
import glob
import os
import subprocess
import sys
import tempfile
from distutils import log
from distutils.ccompiler import new_compiler
from distutils.sysconfig import customize_compiler
from distutils.errors import CompileError, LinkError
CCODE = """
#include <omp.h>
#include <stdio.h>
int main(... | true | true |
f7f930c810d1f3ae8287bd83a4ffe65d1eff6ff1 | 23,888 | py | Python | odps/df/backends/odpssql/codegen.py | jhhjwei/aliyun-odps-python-sdk | 9372024ef358674b17253ef716d50ad02c2af23e | [
"Apache-2.0"
] | null | null | null | odps/df/backends/odpssql/codegen.py | jhhjwei/aliyun-odps-python-sdk | 9372024ef358674b17253ef716d50ad02c2af23e | [
"Apache-2.0"
] | null | null | null | odps/df/backends/odpssql/codegen.py | jhhjwei/aliyun-odps-python-sdk | 9372024ef358674b17253ef716d50ad02c2af23e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Copyright 1999-2017 Alibaba Group Holding 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/LICENS... | 36.470229 | 119 | 0.59712 |
import base64
import os
import sys
import platform
import uuid
from .types import df_type_to_odps_type
from ...expr.collections import RowAppliedCollectionExpr
from ...expr.element import MappedExpr
from ...expr.reduction import Aggregation, GroupedAggregation
from ...expr.utils import get_executed_col... | true | true |
f7f931130714c0aaaf7b480273806ac1243916e2 | 55,531 | py | Python | Lib/test/test_warnings/__init__.py | eendebakpt/cpython | 474fdbe9e4a2ff90ef39e8748da644c86a200981 | [
"0BSD"
] | 1 | 2020-09-28T16:41:16.000Z | 2020-09-28T16:41:16.000Z | Lib/test/test_warnings/__init__.py | eendebakpt/cpython | 474fdbe9e4a2ff90ef39e8748da644c86a200981 | [
"0BSD"
] | 2 | 2022-03-10T15:56:35.000Z | 2022-03-10T15:56:43.000Z | Lib/test/test_warnings/__init__.py | eendebakpt/cpython | 474fdbe9e4a2ff90ef39e8748da644c86a200981 | [
"0BSD"
] | null | null | null | from contextlib import contextmanager
import linecache
import os
from io import StringIO
import re
import sys
import textwrap
import unittest
from test import support
from test.support import import_helper
from test.support import os_helper
from test.support import warnings_helper
from test.support.script_helper import... | 42.100834 | 101 | 0.597936 | from contextlib import contextmanager
import linecache
import os
from io import StringIO
import re
import sys
import textwrap
import unittest
from test import support
from test.support import import_helper
from test.support import os_helper
from test.support import warnings_helper
from test.support.script_helper import... | true | true |
f7f9321352b170d5736d58318b4db4e396c74ccd | 1,030 | py | Python | Exercicios/ex085.py | vincytarsis/Python | f98005917486bc191c85c971ec8e2c71fb9dd4c7 | [
"MIT"
] | null | null | null | Exercicios/ex085.py | vincytarsis/Python | f98005917486bc191c85c971ec8e2c71fb9dd4c7 | [
"MIT"
] | null | null | null | Exercicios/ex085.py | vincytarsis/Python | f98005917486bc191c85c971ec8e2c71fb9dd4c7 | [
"MIT"
] | null | null | null | """ Crie um programa onde o usuário possa digitar sete valores numéricos e cadastre-os em uma
lista única que mantenha separados os valores pares e impares. No final, mostre os valores
pares e ímpares em ordem crescente. """
'''princ = []
par = []
imp = []
#Ler 7 valores numéricos
for c in range(1, 8):
n = int(inp... | 22.888889 | 93 | 0.615534 |
num = [[], []]
valor = 0
for c in range(1, 8):
valor = int(input(f'Digite {c}° o valor'))
if valor % 2 == 0:
num[0].append(valor)
else:
num[1].append(valor)
num[0].sort()
num[1].sort()
print(f'Os valores pares digitados foram {num[0]}')
print(f'Os valores impares digitados foram {num[1]}'... | true | true |
f7f932cf1cd9224ccb32b68b38b9ae5edee94239 | 1,174 | py | Python | app/models/campaign.py | chiatk/tforty-api | 8b2a2f32389201303208b8f2a7711dbcd73c8569 | [
"Apache-2.0"
] | null | null | null | app/models/campaign.py | chiatk/tforty-api | 8b2a2f32389201303208b8f2a7711dbcd73c8569 | [
"Apache-2.0"
] | null | null | null | app/models/campaign.py | chiatk/tforty-api | 8b2a2f32389201303208b8f2a7711dbcd73c8569 | [
"Apache-2.0"
] | null | null | null | from re import T
from sqlalchemy import Column, Table, ForeignKey
from sqlalchemy.sql.sqltypes import Integer, String, DateTime, Boolean
from sqlalchemy.sql.functions import func
from ..database.connection_mysql import meta
campaigns = Table(
"campaigns",
meta,
Column( "id", Integer, primary_key=True ),
... | 39.133333 | 76 | 0.67121 | from re import T
from sqlalchemy import Column, Table, ForeignKey
from sqlalchemy.sql.sqltypes import Integer, String, DateTime, Boolean
from sqlalchemy.sql.functions import func
from ..database.connection_mysql import meta
campaigns = Table(
"campaigns",
meta,
Column( "id", Integer, primary_key=True ),
... | true | true |
f7f9334d06b2ed9e4fbcf3f0d4789d12ed9cc1ef | 255 | py | Python | dump-glyphs-rules.py | simoncozens/nastaliq-engineering | 4785bbfd115d9a11fb90a48546e2e2a9c758fecf | [
"Apache-2.0"
] | 5 | 2020-10-16T17:49:39.000Z | 2021-03-09T13:18:14.000Z | dump-glyphs-rules.py | simoncozens/nastaliq-engineering | 4785bbfd115d9a11fb90a48546e2e2a9c758fecf | [
"Apache-2.0"
] | null | null | null | dump-glyphs-rules.py | simoncozens/nastaliq-engineering | 4785bbfd115d9a11fb90a48546e2e2a9c758fecf | [
"Apache-2.0"
] | null | null | null | import csv
from glyphsLib import GSFont
import sys
font = GSFont(sys.argv[1])
conn = font.userData["nastaliqConnections"]
with open('rules.csv', 'w') as outcsv:
w = csv.DictWriter(outcsv,conn["colnames"])
w.writeheader()
w.writerows(conn["rows"])
| 21.25 | 45 | 0.717647 | import csv
from glyphsLib import GSFont
import sys
font = GSFont(sys.argv[1])
conn = font.userData["nastaliqConnections"]
with open('rules.csv', 'w') as outcsv:
w = csv.DictWriter(outcsv,conn["colnames"])
w.writeheader()
w.writerows(conn["rows"])
| true | true |
f7f933a059433dd754baad8c39b4d0e83e5203c5 | 7,854 | py | Python | integration_tests/test_upgrade.py | tomtau/chain-main | b45fdbbfa25e9f266098f920f3d5ef2cb5742091 | [
"Apache-2.0"
] | null | null | null | integration_tests/test_upgrade.py | tomtau/chain-main | b45fdbbfa25e9f266098f920f3d5ef2cb5742091 | [
"Apache-2.0"
] | null | null | null | integration_tests/test_upgrade.py | tomtau/chain-main | b45fdbbfa25e9f266098f920f3d5ef2cb5742091 | [
"Apache-2.0"
] | null | null | null | import configparser
import json
import re
import subprocess
import time
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
from dateutil.parser import isoparse
from pystarport.cluster import SUPERVISOR_CONFIG_FILE
from pystarport.ports import rpc_port
from .utils import (
cl... | 29.863118 | 88 | 0.622995 | import configparser
import json
import re
import subprocess
import time
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
from dateutil.parser import isoparse
from pystarport.cluster import SUPERVISOR_CONFIG_FILE
from pystarport.ports import rpc_port
from .utils import (
cl... | true | true |
f7f933c87fdfd9fadc2004166a7c0687c5ea3056 | 21,418 | py | Python | tutorials/declarative_tutorial.py | Matze77/MetPy | 23c01414dd4141b0a83f5aa51b6e92db2c6d0fb6 | [
"BSD-3-Clause"
] | 3 | 2016-03-03T07:51:22.000Z | 2022-02-22T01:22:02.000Z | tutorials/declarative_tutorial.py | Matze77/MetPy | 23c01414dd4141b0a83f5aa51b6e92db2c6d0fb6 | [
"BSD-3-Clause"
] | 188 | 2020-09-10T19:13:48.000Z | 2022-03-30T20:03:34.000Z | tutorials/declarative_tutorial.py | Matze77/MetPy | 23c01414dd4141b0a83f5aa51b6e92db2c6d0fb6 | [
"BSD-3-Clause"
] | 2 | 2016-10-13T22:37:16.000Z | 2020-08-18T17:44:49.000Z | # Copyright (c) 2018 MetPy Developers.
# Distributed under the terms of the BSD 3-Clause License.
# SPDX-License-Identifier: BSD-3-Clause
"""
MetPy Declarative Syntax Tutorial
=================================
The declarative syntax that is a part of the MetPy packaged is designed to aid in simple
data exploration and... | 35.996639 | 95 | 0.647866 | true | true | |
f7f933cc70c654fc0df7d7861af76d16032ed0f5 | 3,468 | py | Python | app/app/settings.py | ndizihiwesimon/recipe-app-api | 52f00837abc3c6e2952db9baafe600a7af17b322 | [
"MIT"
] | null | null | null | app/app/settings.py | ndizihiwesimon/recipe-app-api | 52f00837abc3c6e2952db9baafe600a7af17b322 | [
"MIT"
] | null | null | null | app/app/settings.py | ndizihiwesimon/recipe-app-api | 52f00837abc3c6e2952db9baafe600a7af17b322 | [
"MIT"
] | null | null | null | """
Django settings for app project.
Generated by 'django-admin startproject' using Django 4.0.1.
For more information on this file, see
https://docs.djangoproject.com/en/4.0/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/4.0/ref/settings/
"""
import os
from p... | 26.075188 | 91 | 0.693772 |
import os
from pathlib import Path
BASE_DIR = Path(__file__).resolve().parent.parent
SECRET_KEY = 'django-insecure-+g=^5wpckkb07&t_8@5yu@v6tqi*@wsy$5oop3#ki#y50mqnnn'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'django.contrib.auth',
'dj... | true | true |
f7f934032d3eddc7d56b2f1f053d4bb02dbcb3cf | 2,508 | py | Python | frontend/util/session.py | EPC-MSU/uRPC | cd3c386a8320542052834ca28791a3ea2b57c54f | [
"CC0-1.0"
] | 1 | 2022-03-11T04:29:53.000Z | 2022-03-11T04:29:53.000Z | frontend/util/session.py | EPC-MSU/uRPC | cd3c386a8320542052834ca28791a3ea2b57c54f | [
"CC0-1.0"
] | null | null | null | frontend/util/session.py | EPC-MSU/uRPC | cd3c386a8320542052834ca28791a3ea2b57c54f | [
"CC0-1.0"
] | 1 | 2021-06-15T21:56:26.000Z | 2021-06-15T21:56:26.000Z | from collections import Container
from os import sep, access, R_OK
from os.path import join, isfile
from uuid import UUID
from tornado.ioloop import IOLoop
from urpc.ast import Protocol
from urpc.storage.json import JsonStorage
try:
from settings import temp_dir
except ImportError:
temp_dir = join(sep, "tmp"... | 32.153846 | 92 | 0.637161 | from collections import Container
from os import sep, access, R_OK
from os.path import join, isfile
from uuid import UUID
from tornado.ioloop import IOLoop
from urpc.ast import Protocol
from urpc.storage.json import JsonStorage
try:
from settings import temp_dir
except ImportError:
temp_dir = join(sep, "tmp"... | true | true |
f7f93415a321fe5f7c6093662ae097ed6941f512 | 8,248 | py | Python | zenml/steps/trainer/pytorch_trainers/torch_ff_trainer.py | ORG-MARS/zenml | 8ee9a9264397d4e24a34c906e34a443782b189d3 | [
"Apache-2.0"
] | 1 | 2021-08-13T03:07:53.000Z | 2021-08-13T03:07:53.000Z | zenml/steps/trainer/pytorch_trainers/torch_ff_trainer.py | ORG-MARS/zenml | 8ee9a9264397d4e24a34c906e34a443782b189d3 | [
"Apache-2.0"
] | null | null | null | zenml/steps/trainer/pytorch_trainers/torch_ff_trainer.py | ORG-MARS/zenml | 8ee9a9264397d4e24a34c906e34a443782b189d3 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) maiot GmbH 2020. 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... | 35.551724 | 84 | 0.579777 |
import os
from typing import List, Text, Dict
import torch
import torch.nn as nn
import torch.optim as optim
import torch.utils.data as data
from torch.utils.tensorboard import SummaryWriter
from zenml.steps.trainer import TorchBaseTrainerStep
from zenml.steps.trainer import utils
from zenml.steps.trai... | true | true |
f7f9343f8fae9608efa12d605fa88dcc017fb121 | 6,207 | py | Python | classes/DomainSegmentor.py | egurapha/prot_domain_segmentor | 407ae9f5ff37ae20a32f07dd46b85ef8201659e1 | [
"MIT"
] | 9 | 2018-09-20T02:45:08.000Z | 2022-02-21T02:50:08.000Z | classes/DomainSegmentor.py | egurapha/prot_domain_segmentor | 407ae9f5ff37ae20a32f07dd46b85ef8201659e1 | [
"MIT"
] | null | null | null | classes/DomainSegmentor.py | egurapha/prot_domain_segmentor | 407ae9f5ff37ae20a32f07dd46b85ef8201659e1 | [
"MIT"
] | 1 | 2021-04-26T00:15:28.000Z | 2021-04-26T00:15:28.000Z | import os, sys
sys.path.insert(0, 'model')
from segmentor_model_v2 import *
from segmentor_utils import *
import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import scipy.stats
idx_to_class = {0: 'Unassigned (Loop)',
1: 'Orthogonal Bundle',
... | 43.104167 | 225 | 0.586596 | import os, sys
sys.path.insert(0, 'model')
from segmentor_model_v2 import *
from segmentor_utils import *
import torch
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import scipy.stats
idx_to_class = {0: 'Unassigned (Loop)',
1: 'Orthogonal Bundle',
... | true | true |
f7f935cfce095d6cc6f392874cf37d9947cd761d | 1,791 | py | Python | ward/tests/test_util.py | mkuyper/ward | 526d582128db159959f40a123002f614ed31349b | [
"MIT"
] | null | null | null | ward/tests/test_util.py | mkuyper/ward | 526d582128db159959f40a123002f614ed31349b | [
"MIT"
] | null | null | null | ward/tests/test_util.py | mkuyper/ward | 526d582128db159959f40a123002f614ed31349b | [
"MIT"
] | null | null | null | import os
from pathlib import Path
from ward.tests.utilities import make_project
from ward import test, using, fixture
from ward.testing import each
from ward.util import (
truncate,
find_project_root,
group_by,
)
@fixture
def s():
return "hello world"
@test("truncate('{input}', num_chars={num_char... | 22.961538 | 86 | 0.629816 | import os
from pathlib import Path
from ward.tests.utilities import make_project
from ward import test, using, fixture
from ward.testing import each
from ward.util import (
truncate,
find_project_root,
group_by,
)
@fixture
def s():
return "hello world"
@test("truncate('{input}', num_chars={num_char... | true | true |
f7f936d29596bc6308c69005269b9fca8bf3c209 | 3,835 | py | Python | jase_im/jase_im/logger.py | chenomg/blog.jase.im_v0.1 | 41e77fae1435f2c16701d982bd71fddbd399508e | [
"MIT"
] | 2 | 2019-02-22T16:09:35.000Z | 2019-11-27T10:22:49.000Z | jase_im/jase_im/logger.py | chenomg/blog.jase.im_v0.1 | 41e77fae1435f2c16701d982bd71fddbd399508e | [
"MIT"
] | 3 | 2018-12-22T13:40:15.000Z | 2020-06-05T19:26:48.000Z | jase_im/jase_im/logger.py | chenomg/blog.jase.im_v0.1 | 41e77fae1435f2c16701d982bd71fddbd399508e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import re
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
BASE_LOG_DIR = os.path.join(BASE_DIR, "logs")
find_connectionpool = re.compile(r'connectionpool')
def set_connectionpool_debug(record):
# 设置日志过滤器
if record.exc_info:
... | 32.226891 | 76 | 0.504302 |
import os
import re
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
BASE_LOG_DIR = os.path.join(BASE_DIR, "logs")
find_connectionpool = re.compile(r'connectionpool')
def set_connectionpool_debug(record):
if record.exc_info:
exc_type, exc_value = record.exc_info[:2]
... | true | true |
f7f93704e822608575b10511e26a82120c9c5b7a | 2,632 | py | Python | test/testQListWidget.py | WuNull/findmovie | 29d3ef6fe2282f48be57780f5e8366de1d3479a6 | [
"Apache-2.0"
] | 1 | 2019-11-26T07:03:06.000Z | 2019-11-26T07:03:06.000Z | test/testQListWidget.py | WuNull/findmovie | 29d3ef6fe2282f48be57780f5e8366de1d3479a6 | [
"Apache-2.0"
] | null | null | null | test/testQListWidget.py | WuNull/findmovie | 29d3ef6fe2282f48be57780f5e8366de1d3479a6 | [
"Apache-2.0"
] | null | null | null | import sys
import json
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
"""
自动生成的代码, 请不要修改
"""
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
Mai... | 36.555556 | 107 | 0.639058 | import sys
import json
from PyQt5.QtWidgets import *
from PyQt5.QtGui import *
from PyQt5.QtCore import *
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(455, 357)
self... | true | true |
f7f937e853eeb1035d79856c7ab46c6aced76acd | 5,511 | py | Python | serve_db/vizapi.py | IBM/covid19-india-data | e2be04e74e753fbd1b1580f62856bf7335b95d33 | [
"MIT"
] | 20 | 2021-08-15T19:00:57.000Z | 2022-03-28T21:23:28.000Z | serve_db/vizapi.py | IBM/covid19-india-data | e2be04e74e753fbd1b1580f62856bf7335b95d33 | [
"MIT"
] | 78 | 2021-08-17T22:34:39.000Z | 2022-01-06T02:49:30.000Z | serve_db/vizapi.py | IBM/covid19-india-data | e2be04e74e753fbd1b1580f62856bf7335b95d33 | [
"MIT"
] | 8 | 2021-08-30T19:35:27.000Z | 2022-02-08T14:07:10.000Z | import sqlite3
import pandas as pd
import json
def get_queries():
CONFIGPATH = './configs/visualization.sql.json'
with open(CONFIGPATH, 'r') as f:
queries = json.load(f)
return queries
def get_generic_query_result(db_uri, queryid, return_csv=True):
queries = get_queries()
query = querie... | 30.447514 | 120 | 0.65215 | import sqlite3
import pandas as pd
import json
def get_queries():
CONFIGPATH = './configs/visualization.sql.json'
with open(CONFIGPATH, 'r') as f:
queries = json.load(f)
return queries
def get_generic_query_result(db_uri, queryid, return_csv=True):
queries = get_queries()
query = querie... | true | true |
f7f9387f465eb1d8b8faca50add2f091dad1ce73 | 711 | py | Python | .history/postImages/index_20201006185606.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | 2 | 2020-10-21T22:14:15.000Z | 2020-10-21T22:14:16.000Z | .history/postImages/index_20201006185606.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | .history/postImages/index_20201006185606.py | Lambda-School-Labs/Labs27-C-Bridges-To-Prosperity-BE | 9a8289d8550115362c46dea3ed8570b789c09a10 | [
"MIT"
] | null | null | null | import csv
import requests
df = open("bridgeData3.csv",'r').readlines()
fin = open('final.csv','r').readlines()
finCsv = fin[1:]
# url = https://b2ptc.herokuapp.com/bridges
finalCsv = df[1:]
obj = {}
for i in finalCsv:
x = i.split(',')
obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_im... | 29.625 | 97 | 0.637131 | import csv
import requests
df = open("bridgeData3.csv",'r').readlines()
fin = open('final.csv','r').readlines()
finCsv = fin[1:]
finalCsv = df[1:]
obj = {}
for i in finalCsv:
x = i.split(',')
obj[x[1]] = {'bridge_name':x[0],'proj_code':x[1],'before_img':x[2],'after_img':x[3]}
print(finCsv[0])
for i in finCs... | true | true |
f7f939cd9e9e7cce717c5d8c9b17638fa7af00fe | 8,915 | py | Python | histogram.py | mcm7f/thesis | 412f35de9b1ce25ed4447d077a2a5292a57063f9 | [
"MIT"
] | 1 | 2015-07-24T04:26:45.000Z | 2015-07-24T04:26:45.000Z | histogram.py | mcm7f/thesis | 412f35de9b1ce25ed4447d077a2a5292a57063f9 | [
"MIT"
] | null | null | null | histogram.py | mcm7f/thesis | 412f35de9b1ce25ed4447d077a2a5292a57063f9 | [
"MIT"
] | null | null | null | # Need to parse .csv log files, process them, and plot results
# in an organize fashion.
# Thesis work
# Michael C. Murphy
# Code started: March 1, 2016
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.mlab as mlab # what is this?
from math import log... | 30.118243 | 157 | 0.599663 |
import sys
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.image as mpimg
import matplotlib.mlab as mlab
from math import log
from statistics import variance
import time
def main():
print( "Detected", len(sys.argv), "arguments")
x = []
y = []
... | true | true |
f7f939dbed1408a7a84c24d2e2225ab404aee461 | 3,655 | py | Python | datahub/search/omis/models.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | null | null | null | datahub/search/omis/models.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | 4 | 2021-06-30T10:34:50.000Z | 2021-06-30T10:34:51.000Z | datahub/search/omis/models.py | Staberinde/data-hub-api | 3d0467dbceaf62a47158eea412a3dba827073300 | [
"MIT"
] | null | null | null | from elasticsearch_dsl import Boolean, Date, Integer, Keyword, Text
from datahub.search import dict_utils
from datahub.search import fields
from datahub.search.models import BaseESModel
class Order(BaseESModel):
"""Elasticsearch representation of Order model."""
id = Keyword()
reference = fields.Normali... | 34.481132 | 99 | 0.681532 | from elasticsearch_dsl import Boolean, Date, Integer, Keyword, Text
from datahub.search import dict_utils
from datahub.search import fields
from datahub.search.models import BaseESModel
class Order(BaseESModel):
id = Keyword()
reference = fields.NormalizedKeyword(
fields={
'trigram': fie... | true | true |
f7f939dcb0a5a76dbe6ecd96c79470376e34207d | 5,110 | py | Python | python_experiments/data_analysis/figures_icde19/opt_gpu.py | mexuaz/AccTrussDecomposition | 15a9e8fd2f123f5acace5f3b40b94f1a74eb17d4 | [
"MIT"
] | 9 | 2020-03-30T13:00:15.000Z | 2022-03-17T13:40:17.000Z | python_experiments/data_analysis/figures_icde19/opt_gpu.py | mexuaz/AccTrussDecomposition | 15a9e8fd2f123f5acace5f3b40b94f1a74eb17d4 | [
"MIT"
] | null | null | null | python_experiments/data_analysis/figures_icde19/opt_gpu.py | mexuaz/AccTrussDecomposition | 15a9e8fd2f123f5acace5f3b40b94f1a74eb17d4 | [
"MIT"
] | 2 | 2020-08-17T10:05:51.000Z | 2020-08-30T22:57:55.000Z | import json
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from data_analysis.figures_icde19.general_config import *
from data_analysis.figures_icde19.parse_overall.parse_gpu_results import varying_gpu_tag, summary_tag, \
off_tc_tag, off_cpu_iep_tag, off_gpu_iep_tag, off_iep_total_tag, confi... | 35.985915 | 108 | 0.683366 | import json
import matplotlib
import matplotlib.pyplot as plt
import numpy as np
from data_analysis.figures_icde19.general_config import *
from data_analysis.figures_icde19.parse_overall.parse_gpu_results import varying_gpu_tag, summary_tag, \
off_tc_tag, off_cpu_iep_tag, off_gpu_iep_tag, off_iep_total_tag, confi... | true | true |
f7f93aac7b9d793ef23c38a97b1f3ca8216eaa8d | 24,348 | py | Python | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | samples/python/efficientdet/create_onnx.py | L-Net-1992/TensorRT | 34b664d404001bd724cb56b52a6e0e05e1fd97f2 | [
"Apache-2.0"
] | null | null | null | #
# SPDX-FileCopyrightText: Copyright (c) 1993-2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# 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... | 53.986696 | 122 | 0.619065 |
import os
import sys
import argparse
import logging
import tensorflow as tf
import onnx_graphsurgeon as gs
import numpy as np
import onnx
from onnx import shape_inference
from tf2onnx import tfonnx, optimizer, tf_loader
import onnx_utils
logging.basicConfig(level=logging.INFO)
logging.getLogger("Eff... | true | true |
f7f93b1f00383659b470b49241c9a0c547bacbf6 | 1,605 | py | Python | test/vanilla/low-level/AcceptanceTests/utils.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 35 | 2018-04-03T12:15:53.000Z | 2022-03-11T14:03:34.000Z | test/vanilla/low-level/AcceptanceTests/utils.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 652 | 2017-08-28T22:44:41.000Z | 2022-03-31T21:20:31.000Z | test/vanilla/low-level/AcceptanceTests/utils.py | cfculhane/autorest.python | 8cbca95faee88d933a58bbbd17b76834faa8d387 | [
"MIT"
] | 29 | 2017-08-28T20:57:01.000Z | 2022-03-11T14:03:38.000Z | # coding=utf-8
# --------------------------------------------------------------------------
#
# Copyright (c) Microsoft Corporation. All rights reserved.
#
# The MIT License (MIT)
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the ... | 41.153846 | 78 | 0.686604 |
import json
try:
JSON_DECODE_ERROR = json.decoder.JSONDecodeError
except:
JSON_DECODE_ERROR = ValueError
def dicts_equal(dict_one, dict_two):
assert set(dict_one.keys()) == set(dict_two.keys())
for key in dict_one.keys():
assert dict_one[key] == dict_two[key]
| true | true |
f7f93b2b0e2d59856c9592423223414faa95744e | 356 | py | Python | mushroom_rl/environments/mujoco_envs/humanoid_gait/reward_goals/__init__.py | PuzeLiu/mushroom-rl | 99942b425e66b4ddcc26009d7105dde23841e95d | [
"MIT"
] | 344 | 2020-01-10T09:45:02.000Z | 2022-03-30T09:48:28.000Z | mushroom_rl/environments/mujoco_envs/humanoid_gait/reward_goals/__init__.py | AmmarFahmy/mushroom-rl | 2625ee7f64d5613b3b9fba00f0b7a39fece88ca5 | [
"MIT"
] | 44 | 2020-01-23T03:00:56.000Z | 2022-03-25T17:14:22.000Z | mushroom_rl/environments/mujoco_envs/humanoid_gait/reward_goals/__init__.py | AmmarFahmy/mushroom-rl | 2625ee7f64d5613b3b9fba00f0b7a39fece88ca5 | [
"MIT"
] | 93 | 2020-01-10T21:17:58.000Z | 2022-03-31T17:58:52.000Z | from .reward import NoGoalReward, MaxVelocityReward, \
VelocityProfileReward, CompleteTrajectoryReward
from .trajectory import HumanoidTrajectory
from .velocity_profile import VelocityProfile, PeriodicVelocityProfile,\
SinVelocityProfile, ConstantVelocityProfile, RandomConstantVelocityProfile,\
SquareWave... | 39.555556 | 80 | 0.853933 | from .reward import NoGoalReward, MaxVelocityReward, \
VelocityProfileReward, CompleteTrajectoryReward
from .trajectory import HumanoidTrajectory
from .velocity_profile import VelocityProfile, PeriodicVelocityProfile,\
SinVelocityProfile, ConstantVelocityProfile, RandomConstantVelocityProfile,\
SquareWave... | true | true |
f7f93b72d7a3d33d74baf1209fc7fd13fb46c029 | 2,409 | py | Python | tabcmd/commands/extracts/create_extracts_command.py | tableau/tabcmd | a6a44795b2568933505dfc8c443ee16542c9e4c0 | [
"MIT"
] | 3 | 2022-02-15T03:07:51.000Z | 2022-03-09T13:14:52.000Z | tabcmd/commands/extracts/create_extracts_command.py | tableau/tabcmd | a6a44795b2568933505dfc8c443ee16542c9e4c0 | [
"MIT"
] | 57 | 2022-01-31T22:33:17.000Z | 2022-03-28T22:05:53.000Z | tabcmd/commands/extracts/create_extracts_command.py | tableau/tabcmd | a6a44795b2568933505dfc8c443ee16542c9e4c0 | [
"MIT"
] | 2 | 2022-02-23T23:05:35.000Z | 2022-03-03T21:32:53.000Z | import tableauserverclient as TSC
from tabcmd.commands.auth.session import Session
from tabcmd.commands.constants import Errors
from tabcmd.commands.server import Server
from tabcmd.execution.global_options import *
from tabcmd.execution.localize import _
from tabcmd.execution.logger_config import log
class CreateEx... | 39.491803 | 95 | 0.669157 | import tableauserverclient as TSC
from tabcmd.commands.auth.session import Session
from tabcmd.commands.constants import Errors
from tabcmd.commands.server import Server
from tabcmd.execution.global_options import *
from tabcmd.execution.localize import _
from tabcmd.execution.logger_config import log
class CreateEx... | true | true |
f7f93bad412e1d38fd7994b3fe862a4715f992ee | 833 | py | Python | record_audio.py | noorkhokhar99/24_hours_recoding | d6718966af8bf4584d15bb290ed07cc5f132ecbe | [
"MIT"
] | 1 | 2021-05-05T12:39:17.000Z | 2021-05-05T12:39:17.000Z | record_audio.py | noorkhokhar99/24_hours_recoding | d6718966af8bf4584d15bb290ed07cc5f132ecbe | [
"MIT"
] | null | null | null | record_audio.py | noorkhokhar99/24_hours_recoding | d6718966af8bf4584d15bb290ed07cc5f132ecbe | [
"MIT"
] | null | null | null | import pyaudio
import wave
filename = "record.wav"
chunk = 1024
FORMAT = pyaudio.paInt16
channels = 1
sample_rate = 44100
record_seconds = 86400
# print(record_seconds)
p = pyaudio.PyAudio()
# print(p)
stream = p.open(format=FORMAT,
channels=channels,
rate=sample_rate,... | 19.372093 | 49 | 0.630252 | import pyaudio
import wave
filename = "record.wav"
chunk = 1024
FORMAT = pyaudio.paInt16
channels = 1
sample_rate = 44100
record_seconds = 86400
p = pyaudio.PyAudio()
stream = p.open(format=FORMAT,
channels=channels,
rate=sample_rate,
input=True,
... | true | true |
f7f93bc06a539571f1cd61f2a7aba9ee08ba5996 | 11,835 | py | Python | hsjang/saitest/testListFeature.py | harrisonjang/testapp | f363dab1a480c788ca925ed42e7830e626e8c0de | [
"Apache-2.0"
] | null | null | null | hsjang/saitest/testListFeature.py | harrisonjang/testapp | f363dab1a480c788ca925ed42e7830e626e8c0de | [
"Apache-2.0"
] | null | null | null | hsjang/saitest/testListFeature.py | harrisonjang/testapp | f363dab1a480c788ca925ed42e7830e626e8c0de | [
"Apache-2.0"
] | null | null | null | #Contains List of tests
test_featureRegressionUT = [
'saiQosEgressFlowPolicer',
'saiQosEgressFlowPolicer',
]
crm_featureRegressionUT = [
'saiCrmFdbStaticTest', #FIXME: ac5p
'saiCrmFdbDynamicTest_1',
'saiCrmFdbDynamicTest_2',
'saiCrmFdbDynamicTest_3',
'saiCrmAclTableTest',
'saiCrmAclCounter',
'saiCrmAclGroup',
'saiCrmA... | 27.144495 | 84 | 0.845289 |
test_featureRegressionUT = [
'saiQosEgressFlowPolicer',
'saiQosEgressFlowPolicer',
]
crm_featureRegressionUT = [
'saiCrmFdbStaticTest',
'saiCrmFdbDynamicTest_1',
'saiCrmFdbDynamicTest_2',
'saiCrmFdbDynamicTest_3',
'saiCrmAclTableTest',
'saiCrmAclCounter',
'saiCrmAclGroup',
'saiCrmAclTableEntry',
'saiCrmIpv4RouteTest... | true | true |
f7f93d2d56c2073e4cb0f9350377c52ec8f41ad7 | 26,058 | py | Python | sdk/apimanagement/azure-mgmt-apimanagement/azure/mgmt/apimanagement/operations/_diagnostic_operations.py | mohamedshabanofficial/azure-sdk-for-python | 81c585f310cd2ec23d2ad145173958914a075a58 | [
"MIT"
] | 2 | 2021-03-24T06:26:11.000Z | 2021-04-18T15:55:59.000Z | sdk/apimanagement/azure-mgmt-apimanagement/azure/mgmt/apimanagement/operations/_diagnostic_operations.py | mohamedshabanofficial/azure-sdk-for-python | 81c585f310cd2ec23d2ad145173958914a075a58 | [
"MIT"
] | 2 | 2021-11-03T06:10:36.000Z | 2021-12-01T06:29:39.000Z | sdk/apimanagement/azure-mgmt-apimanagement/azure/mgmt/apimanagement/operations/_diagnostic_operations.py | mohamedshabanofficial/azure-sdk-for-python | 81c585f310cd2ec23d2ad145173958914a075a58 | [
"MIT"
] | 1 | 2021-05-19T02:55:10.000Z | 2021-05-19T02:55:10.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 51.498024 | 208 | 0.657341 |
from typing import TYPE_CHECKING
import warnings
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.paging import ItemPaged
from azure.core.pipeline import PipelineResponse
from azure.core.pipeline.transport impor... | true | true |
f7f93dd897f60ba55b61ad8da80c4ef1c2949a55 | 2,782 | py | Python | benchmark/lsh_benchmark_plot.py | yrik/datasketch | 82d9639bc0011932a952bbae1d4b5bd5ac03c7c8 | [
"MIT"
] | 1 | 2019-06-05T15:06:08.000Z | 2019-06-05T15:06:08.000Z | benchmark/lsh_benchmark_plot.py | yrik/datasketch | 82d9639bc0011932a952bbae1d4b5bd5ac03c7c8 | [
"MIT"
] | null | null | null | benchmark/lsh_benchmark_plot.py | yrik/datasketch | 82d9639bc0011932a952bbae1d4b5bd5ac03c7c8 | [
"MIT"
] | 2 | 2018-11-12T18:00:52.000Z | 2022-03-21T05:36:20.000Z | import json, sys, argparse
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
def get_precision_recall(found, reference):
reference = set(reference)
intersect = sum(1 for i in found if i in reference)
if len(found) == 0:
precision = 0.0
else:
pre... | 37.594595 | 89 | 0.663911 | import json, sys, argparse
import numpy as np
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
def get_precision_recall(found, reference):
reference = set(reference)
intersect = sum(1 for i in found if i in reference)
if len(found) == 0:
precision = 0.0
else:
pre... | true | true |
f7f93f56302e4afd3d3981bed46985d9836be30c | 1,529 | py | Python | diagnostics/AE_time_loop_grad.py | scheng1992/Data_Assimilation | b4d43895229205ee2cd16b15ee20beccb33b71d6 | [
"MIT"
] | 1 | 2021-11-25T12:46:48.000Z | 2021-11-25T12:46:48.000Z | diagnostics/AE_time_loop_grad.py | bugsuse/Data_Assimilation | 2965ccf78951df11f8686282cd6814bae18afde5 | [
"MIT"
] | null | null | null | diagnostics/AE_time_loop_grad.py | bugsuse/Data_Assimilation | 2965ccf78951df11f8686282cd6814bae18afde5 | [
"MIT"
] | 2 | 2021-03-02T13:29:34.000Z | 2022-03-12T11:01:08.000Z | import torch
import sys, os
sys.path.append(os.getcwd()) #to import pipeline
from pipeline.utils import ML_utils as ML
from pipeline.AutoEncoders import ToyAE
from pipeline import utils
import time
import matplotlib.pyplot as plt
def plot_time_w_output(outputs, inn, hidden, batch_sz, loop=True, no_batch=False):
... | 24.269841 | 94 | 0.603009 | import torch
import sys, os
sys.path.append(os.getcwd())
from pipeline.utils import ML_utils as ML
from pipeline.AutoEncoders import ToyAE
from pipeline import utils
import time
import matplotlib.pyplot as plt
def plot_time_w_output(outputs, inn, hidden, batch_sz, loop=True, no_batch=False):
T_2s = []
T_1... | true | true |
f7f93f796fa58111d4b3534adb7af35b1ee8eead | 1,123 | py | Python | malaya_speech/train/model/pix2pix/discriminator.py | ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | [
"MIT"
] | 111 | 2020-08-31T04:58:54.000Z | 2022-03-29T15:44:18.000Z | malaya_speech/train/model/pix2pix/discriminator.py | ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | [
"MIT"
] | 14 | 2020-12-16T07:27:22.000Z | 2022-03-15T17:39:01.000Z | malaya_speech/train/model/pix2pix/discriminator.py | ishine/malaya-speech | fd34afc7107af1656dff4b3201fa51dda54fde18 | [
"MIT"
] | 29 | 2021-02-09T08:57:15.000Z | 2022-03-12T14:09:19.000Z | import tensorflow as tf
from .layer import *
class Discriminator:
def __init__(self, inputs, targets, ndf=64):
n_layers = 3
layers = []
input = tf.concat([inputs, targets], axis=3)
with tf.variable_scope('layer_1'):
convolved = discrim_conv(input, ndf, stride=2)
... | 36.225806 | 73 | 0.548531 | import tensorflow as tf
from .layer import *
class Discriminator:
def __init__(self, inputs, targets, ndf=64):
n_layers = 3
layers = []
input = tf.concat([inputs, targets], axis=3)
with tf.variable_scope('layer_1'):
convolved = discrim_conv(input, ndf, stride=2)
... | true | true |
f7f93fbcc5d69ad0e6a57642ce60898248c5b51e | 4,181 | py | Python | swig/python/gdal-utils/osgeo_utils/samples/get_soundg.py | gajgeospatial/gdal-3.4.1 | 808ab4e7ffb8a2a1517557ac9fccf933f7479c4e | [
"Apache-2.0"
] | null | null | null | swig/python/gdal-utils/osgeo_utils/samples/get_soundg.py | gajgeospatial/gdal-3.4.1 | 808ab4e7ffb8a2a1517557ac9fccf933f7479c4e | [
"Apache-2.0"
] | null | null | null | swig/python/gdal-utils/osgeo_utils/samples/get_soundg.py | gajgeospatial/gdal-3.4.1 | 808ab4e7ffb8a2a1517557ac9fccf933f7479c4e | [
"Apache-2.0"
] | 1 | 2022-03-17T16:01:01.000Z | 2022-03-17T16:01:01.000Z | #!/usr/bin/env python3
###############################################################################
# $Id: get_soundg.py e4fe7cc06270e5f38dfe78e6785a6bcca4e39e29 2021-04-01 21:02:04 +0300 Idan Miara $
#
# Project: OGR Python samples
# Purpose: Extract SOUNDGings from an S-57 dataset, and write them to
# ... | 32.664063 | 100 | 0.609663 | true | true | |
f7f93fe0777d750e8f8b5be60ef838282cfbdd79 | 13,227 | py | Python | src/train.py | Omkar-Ranadive/Fine-Tuning-BERT | b046092ec4007a4a59e1a478576cca7557c18d76 | [
"Apache-2.0"
] | 1 | 2020-05-24T03:21:25.000Z | 2020-05-24T03:21:25.000Z | src/train.py | Omkar-Ranadive/Fine-Tuning-BERT | b046092ec4007a4a59e1a478576cca7557c18d76 | [
"Apache-2.0"
] | null | null | null | src/train.py | Omkar-Ranadive/Fine-Tuning-BERT | b046092ec4007a4a59e1a478576cca7557c18d76 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""
Main training workflow
"""
from __future__ import division
import argparse
import glob
import os
import random
import signal
import time
import torch
from pytorch_pretrained_bert import BertConfig
import distributed
from models import data_loader, model_builder
from models.data_loader i... | 36.946927 | 148 | 0.631889 |
from __future__ import division
import argparse
import glob
import os
import random
import signal
import time
import torch
from pytorch_pretrained_bert import BertConfig
import distributed
from models import data_loader, model_builder
from models.data_loader import load_dataset
from models.model_builder import Summ... | true | true |
f7f940cd5dd89ae570d03c068b44b22dfe6b1f45 | 7,344 | py | Python | app/modules/ui_functions/functions.py | SurfonL/Crest | 5f457e9d2290e52b3a6f70f6abc0c29e07c11e78 | [
"MIT"
] | null | null | null | app/modules/ui_functions/functions.py | SurfonL/Crest | 5f457e9d2290e52b3a6f70f6abc0c29e07c11e78 | [
"MIT"
] | null | null | null | app/modules/ui_functions/functions.py | SurfonL/Crest | 5f457e9d2290e52b3a6f70f6abc0c29e07c11e78 | [
"MIT"
] | null | null | null | # ///////////////////////////////////////////////////////////////
#
# BY: WANDERSON M.PIMENTA
# PROJECT MADE WITH: Qt Designer and PySide6
# V: 1.0.0
#
# This project can be used freely for all uses, as long as they maintain the
# respective credits only in the Python scripts, any information in the visual
# interface ... | 41.727273 | 136 | 0.565087 |
from app.packages.pyside_or_pyqt import *
from app.packages.widgets import *
from app.uis.main_window.ui_main import Ui_MainWindow
from app.modules.app_settings.settings import *
_is_maximized = False
class UiFunctions:
def __init__(self):
super(UiFunctions, self).__init__()
... | true | true |
f7f942d875fe01b9d5785d51436c41ed2e79286d | 8,194 | py | Python | specutils/io/registers.py | aragilar/specutils | f3b5862fd0ea18fb9fe9973355e4169669c0675f | [
"BSD-3-Clause"
] | null | null | null | specutils/io/registers.py | aragilar/specutils | f3b5862fd0ea18fb9fe9973355e4169669c0675f | [
"BSD-3-Clause"
] | null | null | null | specutils/io/registers.py | aragilar/specutils | f3b5862fd0ea18fb9fe9973355e4169669c0675f | [
"BSD-3-Clause"
] | null | null | null | """
A module containing the mechanics of the specutils io registry.
"""
import os
import pathlib
import sys
from functools import wraps
import logging
from astropy.io import registry as io_registry
from ..spectra import Spectrum1D, SpectrumList, SpectrumCollection
__all__ = ['data_loader', 'custom_writer', 'get_load... | 36.580357 | 98 | 0.619722 | import os
import pathlib
import sys
from functools import wraps
import logging
from astropy.io import registry as io_registry
from ..spectra import Spectrum1D, SpectrumList, SpectrumCollection
__all__ = ['data_loader', 'custom_writer', 'get_loaders_by_extension', 'identify_spectrum_format']
log = logging.getLogger(... | true | true |
f7f9439c7b0c7375a65ae91f38df3d64c0a1d626 | 6,056 | py | Python | tests/libtests/feassemble/data/obsolete/feutils.py | Grant-Block/pylith | f6338261b17551eba879da998a5aaf2d91f5f658 | [
"MIT"
] | 93 | 2015-01-08T16:41:22.000Z | 2022-02-25T13:40:02.000Z | tests/libtests/feassemble/data/obsolete/feutils.py | Grant-Block/pylith | f6338261b17551eba879da998a5aaf2d91f5f658 | [
"MIT"
] | 277 | 2015-02-20T16:27:35.000Z | 2022-03-30T21:13:09.000Z | tests/libtests/feassemble/data/obsolete/feutils.py | Grant-Block/pylith | f6338261b17551eba879da998a5aaf2d91f5f658 | [
"MIT"
] | 71 | 2015-03-24T12:11:08.000Z | 2022-03-03T04:26:02.000Z | #!/usr/bin/env python
#
# ----------------------------------------------------------------------
#
# Brad T. Aagaard, U.S. Geological Survey
# Charles A. Williams, GNS Science
# Matthew G. Knepley, University of Chicago
#
# This code was developed as part of the Computational Infrastructure
# for Geodynamics (http://ge... | 38.08805 | 83 | 0.537318 |
adPts = quadrature.numQuadPts
cellDim = quadrature.cellDim
spaceDim = quadrature.spaceDim
numBasis = quadrature.numBasis
jacobian = numpy.zeros( (numQuadPts, spaceDim, cellDim),
dtype=numpy.float64)
jacobianInv = numpy.zeros( (numQuadPts, cellDim, spaceDim),
... | true | true |
f7f943f22faaa0fb7ddc145d36a51a8a2f138736 | 12,870 | py | Python | utils/video_renderer.py | truongnhat-ryo/fsgan | 6d074c553a4b2d4ea8c4bc586e25f13486e2301b | [
"CC0-1.0"
] | null | null | null | utils/video_renderer.py | truongnhat-ryo/fsgan | 6d074c553a4b2d4ea8c4bc586e25f13486e2301b | [
"CC0-1.0"
] | null | null | null | utils/video_renderer.py | truongnhat-ryo/fsgan | 6d074c553a4b2d4ea8c4bc586e25f13486e2301b | [
"CC0-1.0"
] | null | null | null | import numpy as np
import cv2
import torch
import torch.multiprocessing as mp
from fsgan.utils.img_utils import tensor2bgr
from fsgan.utils.bbox_utils import crop2img, scale_bbox, crop2img_smooth_version
from fsgan.face_enhance.retinaface.retinaface_detection import RetinaFaceDetection
from fsgan.face_enhance.face_mod... | 43.187919 | 133 | 0.627972 | import numpy as np
import cv2
import torch
import torch.multiprocessing as mp
from fsgan.utils.img_utils import tensor2bgr
from fsgan.utils.bbox_utils import crop2img, scale_bbox, crop2img_smooth_version
from fsgan.face_enhance.retinaface.retinaface_detection import RetinaFaceDetection
from fsgan.face_enhance.face_mod... | true | true |
f7f94412ee93788a4449bdd3bb4f5358d5c9bb5e | 997 | py | Python | var/spack/repos/builtin/packages/py-google-auth/package.py | RemoteConnectionManager/spack | f2967b6c16effd26ce007cf86cadbb645c574f50 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 2 | 2020-10-15T01:08:42.000Z | 2021-10-18T01:28:18.000Z | var/spack/repos/builtin/packages/py-google-auth/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 17 | 2018-09-20T18:32:50.000Z | 2019-12-04T16:58:12.000Z | var/spack/repos/builtin/packages/py-google-auth/package.py | openbiox/spack | bb6ec7fb40c14b37e094a860e3625af53f633174 | [
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 5 | 2019-07-30T09:42:14.000Z | 2021-01-25T05:39:20.000Z | # Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyGoogleAuth(PythonPackage):
"""This library simplifies using Google's various server-to-s... | 41.541667 | 95 | 0.7001 |
from spack import *
class PyGoogleAuth(PythonPackage):
homepage = "https://github.com/GoogleCloudPlatform/google-auth-library-python"
url = "https://pypi.io/packages/source/g/google-auth/google-auth-1.6.3.tar.gz"
version('1.6.3', sha256='0f7c6a64927d34c1a474da92cfc59e552a5d3b940d3266606c6a28b7... | true | true |
f7f945b2cd620314831ac01ca2aeb2da1577cb10 | 156 | py | Python | src/libsncompress/__init__.py | congma/libsncompress | ef0c8ee36b8a53b6106ade675d5210fa6e4d5409 | [
"BSD-3-Clause"
] | 1 | 2018-03-12T14:40:08.000Z | 2018-03-12T14:40:08.000Z | src/libsncompress/__init__.py | congma/libsncompress | ef0c8ee36b8a53b6106ade675d5210fa6e4d5409 | [
"BSD-3-Clause"
] | null | null | null | src/libsncompress/__init__.py | congma/libsncompress | ef0c8ee36b8a53b6106ade675d5210fa6e4d5409 | [
"BSD-3-Clause"
] | null | null | null | from .base import BinnedSN
from .binning import BinCollection
from .evaluator import CovEvaluator
__all__ = ["BinnedSN", "BinCollection", "CovEvaluator"]
| 22.285714 | 55 | 0.788462 | from .base import BinnedSN
from .binning import BinCollection
from .evaluator import CovEvaluator
__all__ = ["BinnedSN", "BinCollection", "CovEvaluator"]
| true | true |
f7f94653905413c88a1a6e46ea4abeaa4215b711 | 21,395 | py | Python | lib/googlecloudsdk/third_party/apis/tpu/v1alpha1/tpu_v1alpha1_client.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/tpu/v1alpha1/tpu_v1alpha1_client.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | null | null | null | lib/googlecloudsdk/third_party/apis/tpu/v1alpha1/tpu_v1alpha1_client.py | bopopescu/Google-Cloud-SDK-1 | c4683bacb2f6192d8a816932e438a0493085469b | [
"Apache-2.0"
] | 1 | 2020-07-24T20:13:29.000Z | 2020-07-24T20:13:29.000Z | """Generated client library for tpu version v1alpha1."""
# NOTE: This file is autogenerated and should not be edited by hand.
from apitools.base.py import base_api
from googlecloudsdk.third_party.apis.tpu.v1alpha1 import tpu_v1alpha1_messages as messages
class TpuV1alpha1(base_api.BaseApiClient):
"""Generated clien... | 39.113346 | 118 | 0.694882 |
from apitools.base.py import base_api
from googlecloudsdk.third_party.apis.tpu.v1alpha1 import tpu_v1alpha1_messages as messages
class TpuV1alpha1(base_api.BaseApiClient):
MESSAGES_MODULE = messages
BASE_URL = u'https://tpu.googleapis.com/'
_PACKAGE = u'tpu'
_SCOPES = [u'https://www.googleapis.com/auth/clo... | true | true |
f7f94685094d6f2510a1731fd8a684fc2dc7f096 | 2,036 | py | Python | src/sqapi/messaging/brokers/kafka.py | mabruras/sqapi | e4fa8d800b57a5017b5a48f7cf459d171e69946d | [
"MIT"
] | 3 | 2019-06-25T05:55:06.000Z | 2020-06-21T03:30:53.000Z | src/sqapi/messaging/brokers/kafka.py | mabruras/sqapi | e4fa8d800b57a5017b5a48f7cf459d171e69946d | [
"MIT"
] | null | null | null | src/sqapi/messaging/brokers/kafka.py | mabruras/sqapi | e4fa8d800b57a5017b5a48f7cf459d171e69946d | [
"MIT"
] | null | null | null | #! /usr/bin/env python
import logging
import time
from kafka import KafkaConsumer
log = logging.getLogger(__name__)
class Listener:
def __init__(self, config: dict, process_message):
self.config = config if config else dict()
self.pm_callback = process_message
log.info('Loading Kafka')
... | 33.933333 | 102 | 0.600196 |
import logging
import time
from kafka import KafkaConsumer
log = logging.getLogger(__name__)
class Listener:
def __init__(self, config: dict, process_message):
self.config = config if config else dict()
self.pm_callback = process_message
log.info('Loading Kafka')
self.retry_in... | true | true |
f7f947668d87730d6af70415ef3b6ce7ca2134f5 | 85 | py | Python | library-scrapper/views/InductionCoil.py | mir3z/life.js | b6936a881ec5f7d425ef5419daea3049d4c24df7 | [
"MIT"
] | 1 | 2021-07-13T11:06:50.000Z | 2021-07-13T11:06:50.000Z | library-scrapper/views/InductionCoil.py | mir3z/life.js | b6936a881ec5f7d425ef5419daea3049d4c24df7 | [
"MIT"
] | 2 | 2021-03-09T09:46:10.000Z | 2021-05-09T13:54:07.000Z | library-scrapper/views/InductionCoil.py | mir3z/life.js | b6936a881ec5f7d425ef5419daea3049d4c24df7 | [
"MIT"
] | 1 | 2021-03-03T09:31:55.000Z | 2021-03-03T09:31:55.000Z | from .View import View
class InductionCoilView(View):
type = "Induction Coil"
| 12.142857 | 30 | 0.717647 | from .View import View
class InductionCoilView(View):
type = "Induction Coil"
| true | true |
f7f947f9095a297f23dbc9159b08a10b3643369f | 25,238 | py | Python | python/graphscope/nx/generators/random_graphs.py | haoxins/GraphScope | e1e22a425b5c33bed0dea930f8722e6159484153 | [
"Apache-2.0"
] | 2 | 2021-04-07T07:57:13.000Z | 2021-11-19T09:44:01.000Z | python/graphscope/nx/generators/random_graphs.py | haoxins/GraphScope | e1e22a425b5c33bed0dea930f8722e6159484153 | [
"Apache-2.0"
] | 16 | 2021-12-22T09:19:25.000Z | 2022-03-29T02:43:34.000Z | python/graphscope/nx/generators/random_graphs.py | haoxins/GraphScope | e1e22a425b5c33bed0dea930f8722e6159484153 | [
"Apache-2.0"
] | 2 | 2022-01-25T10:16:51.000Z | 2022-02-07T11:51:20.000Z | # -*- coding: utf-8 -*-
#
# This file random_graphs.py is referred and derived from project NetworkX,
#
# https://github.com/networkx/networkx/blob/master/networkx/generators/random_graphs.py
#
# which has the following license:
#
# Copyright (C) 2004-2020, NetworkX Developers
# Aric Hagberg <hagberg@lanl.gov>
# Dan S... | 34.059379 | 88 | 0.57881 |
import itertools
import math
from collections import defaultdict
import networkx as nxa
from networkx.utils import powerlaw_sequence
from networkx.utils import py_random_state
from graphscope import nx
from graphscope.nx.generators.classic import complete_graph
from graphscope.nx.generators.classi... | true | true |
f7f94890a02109456d0629c13468f3a396acc4c1 | 3,001 | py | Python | src/tensorforce/tensorforce/core/models/constant_model.py | linus87/drl_shape_optimization | 39e6b66bd5b70dfce07e145aafe815071bc1b6fe | [
"MIT"
] | 17 | 2020-12-28T16:25:47.000Z | 2022-03-27T18:28:44.000Z | src/tensorforce/tensorforce/core/models/constant_model.py | linus87/drl_shape_optimization | 39e6b66bd5b70dfce07e145aafe815071bc1b6fe | [
"MIT"
] | 2 | 2021-04-18T03:40:02.000Z | 2022-01-24T08:40:10.000Z | src/tensorforce/tensorforce/core/models/constant_model.py | linus87/drl_shape_optimization | 39e6b66bd5b70dfce07e145aafe815071bc1b6fe | [
"MIT"
] | 8 | 2020-12-23T05:59:52.000Z | 2022-03-28T12:06:35.000Z | # Copyright 2018 Tensorforce Team. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable la... | 38.474359 | 96 | 0.639787 |
from collections import OrderedDict
import tensorflow as tf
from tensorforce import util
from tensorforce.core.models import Model
class ConstantModel(Model):
def __init__(
self,
states, actions, scope, device, saver, summarizer, execution, parallel_interactions,
... | true | true |
f7f948d092d21a5b4a27d8252472b7d1a151aa20 | 1,605 | py | Python | detailsScrape/commaskd/commaskd20.py | Asyikin98/SkinFerm | 72fd1ad6339c96adf5ec154bde566de9eb1472c3 | [
"MIT"
] | null | null | null | detailsScrape/commaskd/commaskd20.py | Asyikin98/SkinFerm | 72fd1ad6339c96adf5ec154bde566de9eb1472c3 | [
"MIT"
] | 2 | 2021-02-03T01:55:13.000Z | 2021-04-30T12:46:33.000Z | detailsScrape/commaskd/commaskd20.py | Asyikin98/SkinFerm | 72fd1ad6339c96adf5ec154bde566de9eb1472c3 | [
"MIT"
] | null | null | null | import urllib.request
import random
from bs4 import BeautifulSoup
from requests import get
import mysql.connector
conn = mysql.connector.connect(user="root", passwd="",host="localhost", database="product")
cursor = conn.cursor()
sql = """INSERT INTO commaskd (about, rate, top, comment, dari) VALUES (%s, %s, %s, %s, ... | 35.666667 | 148 | 0.624299 | import urllib.request
import random
from bs4 import BeautifulSoup
from requests import get
import mysql.connector
conn = mysql.connector.connect(user="root", passwd="",host="localhost", database="product")
cursor = conn.cursor()
sql = """INSERT INTO commaskd (about, rate, top, comment, dari) VALUES (%s, %s, %s, %s, ... | true | true |
f7f94a71a63aa4fcb0b46f82fae4fee4dd45441f | 1,296 | py | Python | src/waldur_openstack/openstack_tenant/migrations/0034_immutable_default_json.py | opennode/waldur-openstack | 8a4170c09bdb8367493441016ef06081250fddb8 | [
"MIT"
] | 1 | 2017-11-07T19:53:57.000Z | 2017-11-07T19:53:57.000Z | src/waldur_openstack/openstack_tenant/migrations/0034_immutable_default_json.py | opennode/waldur-openstack | 8a4170c09bdb8367493441016ef06081250fddb8 | [
"MIT"
] | null | null | null | src/waldur_openstack/openstack_tenant/migrations/0034_immutable_default_json.py | opennode/waldur-openstack | 8a4170c09bdb8367493441016ef06081250fddb8 | [
"MIT"
] | 3 | 2017-09-24T03:11:19.000Z | 2018-08-12T07:43:13.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.11.7 on 2018-07-03 17:09
from __future__ import unicode_literals
from django.db import migrations
import waldur_core.core.fields
class Migration(migrations.Migration):
dependencies = [
('openstack_tenant', '0033_unique_instance_backend_id'),
]
ope... | 30.857143 | 132 | 0.614969 |
from __future__ import unicode_literals
from django.db import migrations
import waldur_core.core.fields
class Migration(migrations.Migration):
dependencies = [
('openstack_tenant', '0033_unique_instance_backend_id'),
]
operations = [
migrations.AlterField(
model_name='inst... | true | true |
f7f94ac3f31089c24b0d2beee5188d6442c953c4 | 2,501 | py | Python | setup.py | molssi-seamm/loop_step | 847da7f69a6fffaefc4655cb05ecf043f4adf64e | [
"BSD-3-Clause"
] | null | null | null | setup.py | molssi-seamm/loop_step | 847da7f69a6fffaefc4655cb05ecf043f4adf64e | [
"BSD-3-Clause"
] | 13 | 2019-08-21T13:34:02.000Z | 2021-12-21T22:38:46.000Z | setup.py | molssi-seamm/loop_step | 847da7f69a6fffaefc4655cb05ecf043f4adf64e | [
"BSD-3-Clause"
] | 1 | 2022-01-16T11:40:19.000Z | 2022-01-16T11:40:19.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""loop_step
A SEAMM plug-in which provides loops in flowcharts.
"""
import sys
from setuptools import setup, find_packages
import versioneer
short_description = __doc__.splitlines()[1]
# from https://github.com/pytest-dev/pytest-runner#conditional-requirement
needs_pyt... | 28.101124 | 74 | 0.643743 |
import sys
from setuptools import setup, find_packages
import versioneer
short_description = __doc__.splitlines()[1]
', 'test', 'ptr'}.intersection(sys.argv)
pytest_runner = ['pytest-runner'] if needs_pytest else []
with open('README.rst') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst')... | true | true |
f7f94b6efd460bf8cf1b140206b0c56c8c6bdf68 | 9,716 | py | Python | src/scripts/tests/test_suricata_alert_watcher.py | obsrvbl/ona | c0a3d464e1a53a41d1bc39c3595addf801b8b8ba | [
"Apache-2.0"
] | 12 | 2018-03-20T21:39:10.000Z | 2021-04-13T04:32:43.000Z | src/scripts/tests/test_suricata_alert_watcher.py | obsrvbl/ona | c0a3d464e1a53a41d1bc39c3595addf801b8b8ba | [
"Apache-2.0"
] | 2 | 2018-09-18T16:35:36.000Z | 2021-04-13T13:41:40.000Z | src/scripts/tests/test_suricata_alert_watcher.py | obsrvbl/ona | c0a3d464e1a53a41d1bc39c3595addf801b8b8ba | [
"Apache-2.0"
] | 11 | 2017-07-24T12:51:40.000Z | 2021-08-23T05:06:18.000Z | # Copyright 2015 Observable Networks
#
# 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 ... | 36.389513 | 75 | 0.656237 |
from datetime import datetime
from glob import glob
from os import path, rename
from subprocess import CalledProcessError
from tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import call, MagicMock, patch
from ona_service.suricata_alert_watcher import (
_compress_lo... | true | true |
f7f94bbe72953ace702554472502a6d69589d097 | 11,859 | py | Python | jams/str2tex.py | MuellerSeb/jams_python | 1bca04557da79d8f8a4c447f5ccc517c40ab7dfc | [
"MIT"
] | 9 | 2019-06-03T03:24:16.000Z | 2021-12-03T07:14:00.000Z | jams/str2tex.py | MuellerSeb/jams_python | 1bca04557da79d8f8a4c447f5ccc517c40ab7dfc | [
"MIT"
] | 6 | 2020-03-25T21:56:59.000Z | 2021-11-08T14:58:27.000Z | jams/str2tex.py | MuellerSeb/jams_python | 1bca04557da79d8f8a4c447f5ccc517c40ab7dfc | [
"MIT"
] | 5 | 2019-10-17T12:04:33.000Z | 2021-09-28T07:45:07.000Z | #!/usr/bin/env python
from __future__ import division, absolute_import, print_function
import numpy as np
__all__ = ['str2tex']
def str2tex(strin, space2linebreak=False, bold=False, italic=False, usetex=True):
"""
Convert strings to LaTeX strings in math environement used by matplotlib's usetex.
... | 53.904545 | 380 | 0.511089 |
from __future__ import division, absolute_import, print_function
import numpy as np
__all__ = ['str2tex']
def str2tex(strin, space2linebreak=False, bold=False, italic=False, usetex=True):
if isinstance(strin, list):
from copy import copy
istrin = copy(strin)
elif isinstance(strin, tupl... | true | true |
f7f94c320e40536edc61fa1ee46b772e690b3986 | 3,880 | py | Python | instaproject/settings.py | Michellemukami/the-hood | 0a1aea481065bb3187ec6a74f09761a4332389fe | [
"MIT"
] | null | null | null | instaproject/settings.py | Michellemukami/the-hood | 0a1aea481065bb3187ec6a74f09761a4332389fe | [
"MIT"
] | 4 | 2020-06-05T22:57:54.000Z | 2021-09-08T01:19:22.000Z | instaproject/settings.py | Michellemukami/the-hood | 0a1aea481065bb3187ec6a74f09761a4332389fe | [
"MIT"
] | null | null | null | """
Django settings for instaproject project.
Generated by 'django-admin startproject' using Django 1.11.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import... | 26.758621 | 91 | 0.703093 |
import os
import django_heroku
from decouple import config
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = '=yf(p_f0ad1-aab7lxq_bx^fgsx^p0hj2_v4_qg$1###81x*j*'
DEBUG = True
ALLOWED_HOSTS = []
# Application definition
INSTALLED_APPS = [
'django.contrib.admin',
'... | true | true |
f7f94c44669ee262bc44ac23bd7ba4b5a217f8ed | 1,933 | py | Python | src/tests/transform/test_grayscale_transform.py | allanchua101/ipynta | 861c36b1c2d675611fcd5ed478d658f8180d03af | [
"MIT"
] | null | null | null | src/tests/transform/test_grayscale_transform.py | allanchua101/ipynta | 861c36b1c2d675611fcd5ed478d658f8180d03af | [
"MIT"
] | null | null | null | src/tests/transform/test_grayscale_transform.py | allanchua101/ipynta | 861c36b1c2d675611fcd5ed478d658f8180d03af | [
"MIT"
] | null | null | null | from ipynta.sourcing import DirectorySniffer
from ipynta.loaders import PillowLoader
from ipynta.transform import GrayscaleTransform
from os import path
import pytest
SAMPLES_DIR = path.dirname(path.abspath(__file__)) + "/sample_images/grayscale"
@pytest.fixture
def sample_images():
img_list = DirectorySn... | 28.426471 | 80 | 0.722193 | from ipynta.sourcing import DirectorySniffer
from ipynta.loaders import PillowLoader
from ipynta.transform import GrayscaleTransform
from os import path
import pytest
SAMPLES_DIR = path.dirname(path.abspath(__file__)) + "/sample_images/grayscale"
@pytest.fixture
def sample_images():
img_list = DirectorySn... | true | true |
f7f94c456f7d954581afe1af1e91b9e011152a8d | 352 | py | Python | vnpy/app/fcoin_clean_order/__init__.py | xiaoxiaoleo/fmexminer | cf4ff2aa041f749e8b2c73607dcf2f50199a81c2 | [
"Apache-2.0"
] | 16 | 2019-10-31T03:15:24.000Z | 2021-11-07T20:27:54.000Z | vnpy/app/fmex_miner_guadan/__init__.py | xiaoxiaoleo/fmexminer | cf4ff2aa041f749e8b2c73607dcf2f50199a81c2 | [
"Apache-2.0"
] | 2 | 2019-10-31T03:16:37.000Z | 2019-12-03T07:55:28.000Z | vnpy/app/fcoin_clean_order/__init__.py | xiaoxiaoleo/fmexminer | cf4ff2aa041f749e8b2c73607dcf2f50199a81c2 | [
"Apache-2.0"
] | 7 | 2019-11-24T04:24:48.000Z | 2022-01-29T16:21:03.000Z | from pathlib import Path
from vnpy.trader.app import BaseApp
from .engine import AlgoEngine, APP_NAME
class AlgoTradingApp(BaseApp):
""""""
app_name = APP_NAME
app_module = __module__
app_path = Path(__file__).parent
display_name = "算法交易"
engine_class = AlgoEngine
widget_name = "AlgoMana... | 20.705882 | 40 | 0.707386 | from pathlib import Path
from vnpy.trader.app import BaseApp
from .engine import AlgoEngine, APP_NAME
class AlgoTradingApp(BaseApp):
app_name = APP_NAME
app_module = __module__
app_path = Path(__file__).parent
display_name = "算法交易"
engine_class = AlgoEngine
widget_name = "AlgoManager"
ic... | true | true |
f7f94c822c2ac221ef5668e02438174dc4634e03 | 10,565 | py | Python | pandapower/test/consistency_checks.py | hmaschke/pandapower-1 | 2e93969050d3d468ce57f73d358e97fabc6e5141 | [
"BSD-3-Clause"
] | 2 | 2019-11-01T11:01:41.000Z | 2022-02-07T12:55:55.000Z | pandapower/test/consistency_checks.py | hmaschke/pandapower-1 | 2e93969050d3d468ce57f73d358e97fabc6e5141 | [
"BSD-3-Clause"
] | null | null | null | pandapower/test/consistency_checks.py | hmaschke/pandapower-1 | 2e93969050d3d468ce57f73d358e97fabc6e5141 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2016-2022 by University of Kassel and Fraunhofer Institute for Energy Economics
# and Energy System Technology (IEE), Kassel. All rights reserved.
import pandas as pd
from numpy import allclose, isclose
from pandapower.pf.runpp_3ph import runpp_3ph
from pandapower.res... | 47.59009 | 158 | 0.671084 |
import pandas as pd
from numpy import allclose, isclose
from pandapower.pf.runpp_3ph import runpp_3ph
from pandapower.results import get_relevant_elements
import pandapower as pp
def runpp_with_consistency_checks(net, **kwargs):
pp.runpp(net, **kwargs)
consistency_checks(net)
return Tru... | true | true |
f7f94cf84b12d34d0ba08564cdc90359b65d98b5 | 767 | py | Python | logging/api-client/list_logs_test.py | baditaflorin/python-docs-samples | f122cbc13f20336d15409b5bd9820377dcb65464 | [
"Apache-2.0"
] | 2 | 2017-09-23T04:23:46.000Z | 2021-06-11T01:23:06.000Z | logging/api-client/list_logs_test.py | baditaflorin/python-docs-samples | f122cbc13f20336d15409b5bd9820377dcb65464 | [
"Apache-2.0"
] | 2 | 2021-06-10T23:54:32.000Z | 2021-06-10T23:54:33.000Z | logging/api-client/list_logs_test.py | baditaflorin/python-docs-samples | f122cbc13f20336d15409b5bd9820377dcb65464 | [
"Apache-2.0"
] | 2 | 2019-11-27T00:13:37.000Z | 2021-03-24T00:05:36.000Z | # Copyright 2015, Google, Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 33.347826 | 74 | 0.747066 |
import re
import list_logs
def test_main(cloud_config, capsys):
list_logs.main(cloud_config.project)
out, _ = capsys.readouterr()
assert re.search(re.compile(r'.*', re.S), out)
| true | true |
f7f94d8192588fb7c74ab6fde66cca6320e60c50 | 13,339 | py | Python | binho/interfaces/gpio.py | pixelfelon/binho-python-package | 92f4898722f0578973cb672d1387fbea6cb7bb3d | [
"BSD-3-Clause"
] | null | null | null | binho/interfaces/gpio.py | pixelfelon/binho-python-package | 92f4898722f0578973cb672d1387fbea6cb7bb3d | [
"BSD-3-Clause"
] | null | null | null | binho/interfaces/gpio.py | pixelfelon/binho-python-package | 92f4898722f0578973cb672d1387fbea6cb7bb3d | [
"BSD-3-Clause"
] | null | null | null | from ..interface import binhoInterface
# TODOs:
# - XXX: Overhaul the GPIO(Collection) class to be more efficient
# - More cleanup to use the GPIOPin model.
# - Support ranges of pins from the same port (GPIOPort objects?)
# - Implement a release function so if e.g. an I2C device is no longer in use
# it releas... | 34.736979 | 102 | 0.61144 | from ..interface import binhoInterface
class ioPinModes:
digitalInput = "DIN"
digitalOutput = "DOUT"
analogInput = "AIN"
analogOutput = "AOUT"
pwmOutput = "PWM"
class GPIOProvider(binhoInterface):
FIXED_GPIO_PINS = {}
# pins
ALLOW_EXTERNAL_REGISTRATION = True
... | true | true |
f7f94daa11128cdff4f10775cd966ab747f37169 | 2,971 | py | Python | sdcflows/conftest.py | madisoth/sdcflows | c2f01e4f9b19dbd89ac1b54e3cfb0643fc3fd4f2 | [
"Apache-2.0"
] | 16 | 2020-02-25T17:47:10.000Z | 2022-03-07T02:54:51.000Z | sdcflows/conftest.py | madisoth/sdcflows | c2f01e4f9b19dbd89ac1b54e3cfb0643fc3fd4f2 | [
"Apache-2.0"
] | 175 | 2020-02-15T00:52:28.000Z | 2022-03-29T21:42:31.000Z | sdcflows/conftest.py | madisoth/sdcflows | c2f01e4f9b19dbd89ac1b54e3cfb0643fc3fd4f2 | [
"Apache-2.0"
] | 8 | 2020-02-15T23:47:22.000Z | 2021-11-26T01:40:41.000Z | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright 2021 The NiPreps Developers <nipreps@gmail.com>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may... | 27.509259 | 97 | 0.71794 |
import os
from pathlib import Path
import numpy
import nibabel
import pytest
from bids.layout import BIDSLayout
test_data_env = os.getenv("TEST_DATA_HOME", str(Path.home() / "sdcflows-tests"))
test_output_dir = os.getenv("TEST_OUTPUT_DIR")
test_workdir = os.getenv("TEST_WORK_DIR")
_sloppy_mode = ... | true | true |
f7f94e28aa841fa20d6c7d1e139080d89a9b8735 | 537 | py | Python | Python_ABC/2-19autoGUI/2mouseNow.py | Chandler-Song/Python_Awesome | a44b8b79de7b429a00ac5798e7ecdc26c79a09ed | [
"MIT"
] | null | null | null | Python_ABC/2-19autoGUI/2mouseNow.py | Chandler-Song/Python_Awesome | a44b8b79de7b429a00ac5798e7ecdc26c79a09ed | [
"MIT"
] | null | null | null | Python_ABC/2-19autoGUI/2mouseNow.py | Chandler-Song/Python_Awesome | a44b8b79de7b429a00ac5798e7ecdc26c79a09ed | [
"MIT"
] | null | null | null | # mouseNow.py - Displays the mouse cursor's current position.
import pyautogui
import time
print('Press fn+command+F2(Mac) or Ctrl+C(windows) to quit.')
positionStr = ''
try:
while True:
time.sleep(3)
# Get and print the mouse coordinates.
x, y = pyautogui.position()
... | 22.375 | 75 | 0.60149 |
import pyautogui
import time
print('Press fn+command+F2(Mac) or Ctrl+C(windows) to quit.')
positionStr = ''
try:
while True:
time.sleep(3)
# Get and print the mouse coordinates.
x, y = pyautogui.position()
pixelColor = pyautogui.screenshot().getpixel((x, y))
... | true | true |
f7f9501600e1599aaa470dabe3cfc9f313bd705e | 6,845 | py | Python | foundryapp/foundryapp/report/sales_order/sales_order.py | umaepoch/foundryapp | 75e20cb399b114d416d3bdd286edd8c5a4690c75 | [
"MIT"
] | null | null | null | foundryapp/foundryapp/report/sales_order/sales_order.py | umaepoch/foundryapp | 75e20cb399b114d416d3bdd286edd8c5a4690c75 | [
"MIT"
] | null | null | null | foundryapp/foundryapp/report/sales_order/sales_order.py | umaepoch/foundryapp | 75e20cb399b114d416d3bdd286edd8c5a4690c75 | [
"MIT"
] | null | null | null | # Copyright (c) 2013, yashwanth and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
import datetime
def execute(filters=None):
columns = get_columns(filters)
sor_data = []
data = []
week = ""
day_of_week = {'Sunday': '1', 'Monday': '2', 'Tuesd... | 40.264706 | 148 | 0.662089 |
from __future__ import unicode_literals
import frappe
import datetime
def execute(filters=None):
columns = get_columns(filters)
sor_data = []
data = []
week = ""
day_of_week = {'Sunday': '1', 'Monday': '2', 'Tuesday': '3',
'Wednesday': '4', 'Thursday': '5', 'Friday': '6', 'Saturday': '7'}
foundry_setti... | true | true |
f7f9506ecb7f7d0534f72c555c8854226aff2d09 | 6,792 | py | Python | ros/src/tl_detector/tl_detector.py | 1560800/CarND-Capstone | ec0cb8e99042e5002370f4cd62847d3d61586533 | [
"MIT"
] | 1 | 2019-12-13T11:04:59.000Z | 2019-12-13T11:04:59.000Z | ros/src/tl_detector/tl_detector.py | 1560800/CarND-Capstone | ec0cb8e99042e5002370f4cd62847d3d61586533 | [
"MIT"
] | null | null | null | ros/src/tl_detector/tl_detector.py | 1560800/CarND-Capstone | ec0cb8e99042e5002370f4cd62847d3d61586533 | [
"MIT"
] | 4 | 2019-12-16T08:35:27.000Z | 2019-12-18T07:23:28.000Z | #!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLCla... | 36.913043 | 132 | 0.671378 |
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLClassifier
import tf
imp... | false | true |
f7f9507910c13fb5948d92afaef10421278324ff | 4,040 | py | Python | src/tortuga/scripts/commonSpotInstanceCli.py | tprestegard/tortuga-kit-awsadapter | cde0a35befa8e5e65929a950fae597cd4adb37b7 | [
"Apache-2.0"
] | 3 | 2018-03-03T15:43:51.000Z | 2019-08-15T11:37:12.000Z | src/tortuga/scripts/commonSpotInstanceCli.py | tprestegard/tortuga-kit-awsadapter | cde0a35befa8e5e65929a950fae597cd4adb37b7 | [
"Apache-2.0"
] | 56 | 2018-03-02T20:24:17.000Z | 2020-11-21T00:29:20.000Z | src/tortuga/scripts/commonSpotInstanceCli.py | tprestegard/tortuga-kit-awsadapter | cde0a35befa8e5e65929a950fae597cd4adb37b7 | [
"Apache-2.0"
] | 11 | 2018-03-03T14:32:13.000Z | 2020-11-18T15:05:30.000Z | # Copyright 2008-2018 Univa 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 by applicable law or agreed to in... | 33.114754 | 99 | 0.648267 |
import json
from typing import Generator, List, Optional, Tuple, Dict
from tortuga.cli.tortugaCli import TortugaCli
from tortuga.wsapi.metadataWsApi import MetadataWsApi
from tortuga.wsapi.resourceAdapterConfigurationWsApi import \
ResourceAdapterConfigurationWsApi
from .spot_common import SpotInsta... | true | true |
f7f951cb3e510cfefab6b6099260d453a2eaf7d7 | 4,760 | py | Python | genetic_algorithm/models/zoo/preprocess_c.py | JacobARose/genetic_algorithm | de4c52637f6b928b96c0306b7da59a054322b56c | [
"Apache-2.0"
] | null | null | null | genetic_algorithm/models/zoo/preprocess_c.py | JacobARose/genetic_algorithm | de4c52637f6b928b96c0306b7da59a054322b56c | [
"Apache-2.0"
] | null | null | null | genetic_algorithm/models/zoo/preprocess_c.py | JacobARose/genetic_algorithm | de4c52637f6b928b96c0306b7da59a054322b56c | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 37.777778 | 135 | 0.669328 |
import tensorflow as tf
from tensorflow.keras import Sequential, Model, Input
from tensorflow.keras import layers
from tensorflow.keras.layers import ReLU, Dense, Conv2D, Conv2DTranspose
from tensorflow.keras.layers import DepthwiseConv2D, SeparableConv2D, Dropout
from tensorflow.keras.layers import Globa... | true | true |
f7f951d12a4b67f49be963a01a11b78e12557fc9 | 3,517 | py | Python | setup.py | ObsidianProtocol/obsidian-rpc-python | 1f977f06af37c871e7257e04fb81a06eaf7bca32 | [
"MIT"
] | null | null | null | setup.py | ObsidianProtocol/obsidian-rpc-python | 1f977f06af37c871e7257e04fb81a06eaf7bca32 | [
"MIT"
] | null | null | null | setup.py | ObsidianProtocol/obsidian-rpc-python | 1f977f06af37c871e7257e04fb81a06eaf7bca32 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Note: To use the 'upload' functionality of this file, you must:
# $ pip install twine
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command
# Package meta-data.
NAME = 'obsidian'
DESCRIPTION = 'A Python wrapper... | 28.362903 | 86 | 0.639181 |
import io
import os
import sys
from shutil import rmtree
from setuptools import find_packages, setup, Command
NAME = 'obsidian'
DESCRIPTION = 'A Python wrapper for the obsidian JSON-RPC interface'
URL = 'https://github.com/arthurk/obsidian-python/'
EMAIL = 'arthur@arthurkoziel.com'
AUTHOR = 'Arthur Koziel'
REQ... | true | true |
f7f95228e55ecf40da724ea9666d239bc69011ea | 28,042 | py | Python | dwave_networkx/algorithms/elimination_ordering.py | CatherineCMcGeoch/dwave_networkx | 126731c516d31e7bf0491f3034ccecdb79d648fb | [
"Apache-2.0"
] | 1 | 2022-02-01T14:40:05.000Z | 2022-02-01T14:40:05.000Z | dwave_networkx/algorithms/elimination_ordering.py | CatherineCMcGeoch/dwave_networkx | 126731c516d31e7bf0491f3034ccecdb79d648fb | [
"Apache-2.0"
] | null | null | null | dwave_networkx/algorithms/elimination_ordering.py | CatherineCMcGeoch/dwave_networkx | 126731c516d31e7bf0491f3034ccecdb79d648fb | [
"Apache-2.0"
] | 1 | 2022-02-01T14:40:31.000Z | 2022-02-01T14:40:31.000Z | # Copyright 2018 D-Wave Systems Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or... | 30.381365 | 108 | 0.610334 |
import itertools
from random import random, sample
import networkx as nx
from dwave_networkx.generators.pegasus import pegasus_coordinates
__all__ = ['is_almost_simplicial',
'is_simplicial',
'chimera_elimination_order',
'pegasus_elimination_order',
'max_card... | true | true |
f7f9542766d370aadcc641d0b88390b4139552f2 | 360 | py | Python | hospitals_api/urls.py | API-Imperfect/geodjango-hospitals-api-home | 69f8773e8904bdb6ba6f8c4f0d1547e9a4edc21d | [
"MIT"
] | null | null | null | hospitals_api/urls.py | API-Imperfect/geodjango-hospitals-api-home | 69f8773e8904bdb6ba6f8c4f0d1547e9a4edc21d | [
"MIT"
] | null | null | null | hospitals_api/urls.py | API-Imperfect/geodjango-hospitals-api-home | 69f8773e8904bdb6ba6f8c4f0d1547e9a4edc21d | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.urls import include, path
urlpatterns = [
path("admin/", admin.site.urls),
path("", include("hospitals.urls")),
path("", include("boundaries.urls")),
]
admin.site.site_header = "Hospitals Admin"
admin.site.site_title = "Rwanda GIS Admin Portal"
admin.site.index... | 27.692308 | 55 | 0.716667 | from django.contrib import admin
from django.urls import include, path
urlpatterns = [
path("admin/", admin.site.urls),
path("", include("hospitals.urls")),
path("", include("boundaries.urls")),
]
admin.site.site_header = "Hospitals Admin"
admin.site.site_title = "Rwanda GIS Admin Portal"
admin.site.index... | true | true |
f7f9554ee75dee8f114eb50d9b2c895996982f61 | 341 | py | Python | decorators.py | caseyr003/catalog | b729515e1ff92ea019520e54ed6079a078d538f9 | [
"MIT"
] | null | null | null | decorators.py | caseyr003/catalog | b729515e1ff92ea019520e54ed6079a078d538f9 | [
"MIT"
] | null | null | null | decorators.py | caseyr003/catalog | b729515e1ff92ea019520e54ed6079a078d538f9 | [
"MIT"
] | null | null | null | from functools import wraps
from flask import redirect, session as login_session
def logged_in(function):
@wraps(function)
def wrapper(*a, **kw):
# If not logged in redirect to login page
if 'username' not in login_session:
return redirect('/login')
return function(*a, **kw... | 26.230769 | 52 | 0.656891 | from functools import wraps
from flask import redirect, session as login_session
def logged_in(function):
@wraps(function)
def wrapper(*a, **kw):
if 'username' not in login_session:
return redirect('/login')
return function(*a, **kw)
return wrapper
| true | true |
f7f9567922528dd6970210457c964e9ee21a1480 | 768 | py | Python | shblog/spiders/shblog_sitemap.py | malberts/scrapy-demo | 686b853b9ef7b49e085d23af346c8c7b6291cea0 | [
"BSD-3-Clause"
] | null | null | null | shblog/spiders/shblog_sitemap.py | malberts/scrapy-demo | 686b853b9ef7b49e085d23af346c8c7b6291cea0 | [
"BSD-3-Clause"
] | null | null | null | shblog/spiders/shblog_sitemap.py | malberts/scrapy-demo | 686b853b9ef7b49e085d23af346c8c7b6291cea0 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from scrapy.spiders import SitemapSpider
from .shblog_base import SHBlogBaseSpider
class SHBlogSitemapSpider(SHBlogBaseSpider, SitemapSpider):
name = "shblog_sitemap"
user_agent = "shblog_sitemap (+https://github.com/malberts/scrapy-demo/)"
allowed_domains = ["blog.scrapinghub.com... | 32 | 77 | 0.678385 |
from scrapy.spiders import SitemapSpider
from .shblog_base import SHBlogBaseSpider
class SHBlogSitemapSpider(SHBlogBaseSpider, SitemapSpider):
name = "shblog_sitemap"
user_agent = "shblog_sitemap (+https://github.com/malberts/scrapy-demo/)"
allowed_domains = ["blog.scrapinghub.com"]
sitemap_urls = [... | true | true |
f7f956a16ac611e290129975927452000a373e50 | 5,452 | py | Python | swift3/etree.py | AymericDu/swift3 | a64be4ed9c6657fc5471e87e08e6c7465b7bd444 | [
"Apache-2.0"
] | 10 | 2017-04-21T13:56:48.000Z | 2022-03-29T17:15:40.000Z | swift3/etree.py | AymericDu/swift3 | a64be4ed9c6657fc5471e87e08e6c7465b7bd444 | [
"Apache-2.0"
] | 12 | 2017-05-04T16:23:35.000Z | 2021-09-08T16:42:58.000Z | swift3/etree.py | AymericDu/swift3 | a64be4ed9c6657fc5471e87e08e6c7465b7bd444 | [
"Apache-2.0"
] | 10 | 2017-05-10T14:00:42.000Z | 2019-10-28T13:24:57.000Z | # Copyright (c) 2014 OpenStack Foundation.
#
# 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... | 33.243902 | 78 | 0.644534 |
import lxml.etree
from copy import deepcopy
from pkg_resources import resource_stream
from six.moves.urllib.parse import quote
from swift3.exception import S3Exception
from swift3.utils import LOGGER, camel_to_snake, utf8encode, utf8decode
XMLNS_S3 = 'http://s3.amazonaws.com/doc/2006-03-01/'
XMLNS_XS... | true | true |
f7f9583ea98785181b96028c049795d2ea989b1a | 3,795 | py | Python | ptgaze/common/visualizer.py | martinhoang11/pytorch_mpiigaze_demo | 26f9cd0c4278041ceb905ebb1ccbe5825f822d6f | [
"MIT"
] | null | null | null | ptgaze/common/visualizer.py | martinhoang11/pytorch_mpiigaze_demo | 26f9cd0c4278041ceb905ebb1ccbe5825f822d6f | [
"MIT"
] | null | null | null | ptgaze/common/visualizer.py | martinhoang11/pytorch_mpiigaze_demo | 26f9cd0c4278041ceb905ebb1ccbe5825f822d6f | [
"MIT"
] | null | null | null | from typing import Optional, Tuple
import cv2
import numpy as np
from scipy.spatial.transform import Rotation
from .camera import Camera
from .face import Face
AXIS_COLORS = [(0, 0, 255), (0, 255, 0), (255, 0, 0)]
class Visualizer:
def __init__(self, camera: Camera, center_point_index: int):
self._came... | 40.806452 | 109 | 0.570224 | from typing import Optional, Tuple
import cv2
import numpy as np
from scipy.spatial.transform import Rotation
from .camera import Camera
from .face import Face
AXIS_COLORS = [(0, 0, 255), (0, 255, 0), (255, 0, 0)]
class Visualizer:
def __init__(self, camera: Camera, center_point_index: int):
self._came... | true | true |
f7f958dc52beb1d93c8e1733dc266a29eaaabf1c | 3,162 | py | Python | examples/vision/caltech101.py | erip/data | 9c6e5ddfcdf1061e3968ed5cd9d55754cc713965 | [
"BSD-3-Clause"
] | null | null | null | examples/vision/caltech101.py | erip/data | 9c6e5ddfcdf1061e3968ed5cd9d55754cc713965 | [
"BSD-3-Clause"
] | null | null | null | examples/vision/caltech101.py | erip/data | 9c6e5ddfcdf1061e3968ed5cd9d55754cc713965 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
import os.path
import re
import torch
from torch.utils.data.datapipes.utils.decoder import imagehandler, mathandler
from torchdata.datapipes.iter import (
FileOpener,
Filter,
IterableWrapper,
IterKeyZipper,
Mapper,
RoutedDecoder,
TarArchive... | 28.232143 | 100 | 0.705882 |
import os.path
import re
import torch
from torch.utils.data.datapipes.utils.decoder import imagehandler, mathandler
from torchdata.datapipes.iter import (
FileOpener,
Filter,
IterableWrapper,
IterKeyZipper,
Mapper,
RoutedDecoder,
TarArchiveReader,
)
URL = {
"images": "http://www.vis... | true | true |
f7f95c9052d568304e8639c61338929d28fefd0d | 3,289 | py | Python | geotrek/feedback/migrations/0007_auto_20200407_0728.py | pierreloicq/Geotrek-admin | 00cd29f29843f2cc25e5a3c7372fcccf14956887 | [
"BSD-2-Clause"
] | 50 | 2016-10-19T23:01:21.000Z | 2022-03-28T08:28:34.000Z | geotrek/feedback/migrations/0007_auto_20200407_0728.py | pierreloicq/Geotrek-admin | 00cd29f29843f2cc25e5a3c7372fcccf14956887 | [
"BSD-2-Clause"
] | 1,422 | 2016-10-27T10:39:40.000Z | 2022-03-31T13:37:10.000Z | geotrek/feedback/migrations/0007_auto_20200407_0728.py | pierreloicq/Geotrek-admin | 00cd29f29843f2cc25e5a3c7372fcccf14956887 | [
"BSD-2-Clause"
] | 46 | 2016-10-27T10:59:10.000Z | 2022-03-22T15:55:56.000Z | # Generated by Django 2.0.13 on 2020-04-07 07:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('feedback', '0006_auto_20200406_1408'),
]
operations = [
migrations.CreateModel(
name='ReportAc... | 41.1125 | 177 | 0.588629 |
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('feedback', '0006_auto_20200406_1408'),
]
operations = [
migrations.CreateModel(
name='ReportActivity',
fields=[
('... | true | true |
f7f95d6729901524e560552c813dab4c6f2153e7 | 6,812 | py | Python | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | srelf-ukcloud/PerfKitBenchmarker | 8ebdf1c90a34a4af33d08283198aaafc5f6e5099 | [
"Apache-2.0"
] | null | null | null | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | srelf-ukcloud/PerfKitBenchmarker | 8ebdf1c90a34a4af33d08283198aaafc5f6e5099 | [
"Apache-2.0"
] | null | null | null | perfkitbenchmarker/linux_benchmarks/cluster_boot_benchmark.py | srelf-ukcloud/PerfKitBenchmarker | 8ebdf1c90a34a4af33d08283198aaafc5f6e5099 | [
"Apache-2.0"
] | null | null | null | # Copyright 2014 PerfKitBenchmarker 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 appli... | 32.75 | 104 | 0.69539 |
import logging
import time
from absl import flags
from perfkitbenchmarker import configs
from perfkitbenchmarker import sample
from perfkitbenchmarker import vm_util
BENCHMARK_NAME = 'cluster_boot'
BENCHMARK_CONFIG = """
cluster_boot:
description: >
Create a cluster, record all times to boot.
... | true | true |
f7f95df184761194dfdaba42ea0b3b9622834b12 | 3,387 | py | Python | tests/utils.py | pcanas/vissl | d293b8295f03a4caeaebd25f3e5ed38866dd4d10 | [
"MIT"
] | 3 | 2021-07-08T15:06:49.000Z | 2021-08-13T18:55:02.000Z | tests/utils.py | pcanas/vissl | d293b8295f03a4caeaebd25f3e5ed38866dd4d10 | [
"MIT"
] | 2 | 2021-07-25T15:46:07.000Z | 2021-08-11T10:08:53.000Z | tests/utils.py | pcanas/vissl | d293b8295f03a4caeaebd25f3e5ed38866dd4d10 | [
"MIT"
] | 2 | 2021-07-08T15:15:55.000Z | 2021-08-25T14:16:01.000Z | # Copyright (c) Facebook, Inc. and its affiliates.
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import logging
import re
import sys
from typing import Any, List
import pkg_resources
from hydra.experimental import compose, initialize_confi... | 29.452174 | 86 | 0.700325 |
import logging
import re
import sys
from typing import Any, List
import pkg_resources
from hydra.experimental import compose, initialize_config_module
from omegaconf import OmegaConf
logger = logging.getLogger("vissl")
def list_config_files(dir_path, exclude_folders):
resource_name = "configs"
assert... | true | true |
f7f95e5f3975a2d20a6f117ebaf8890415be9a32 | 47,103 | py | Python | bentoml/_internal/yatai_client/proto/deployment_pb2.py | jmc529/BentoML | 96c1ec9e486d98930e24bbbac5b2991a6d416f97 | [
"Apache-2.0"
] | null | null | null | bentoml/_internal/yatai_client/proto/deployment_pb2.py | jmc529/BentoML | 96c1ec9e486d98930e24bbbac5b2991a6d416f97 | [
"Apache-2.0"
] | null | null | null | bentoml/_internal/yatai_client/proto/deployment_pb2.py | jmc529/BentoML | 96c1ec9e486d98930e24bbbac5b2991a6d416f97 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: deployment.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.prot... | 43.452952 | 4,030 | 0.770715 |
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from google.protobuf import symbol_database as _symbol_database
_sym_db = _symbol_database.Default()
from google.protobuf import struct_pb2 as google_dot_pro... | true | true |
f7f95ef5199af6ab40f535296b13b96fc365a5da | 1,498 | py | Python | ceilometer/cmd/storage.py | vmturbo/ceilometer | f856d3c915b738a64bce14967ba8114fe923c1af | [
"Apache-2.0"
] | null | null | null | ceilometer/cmd/storage.py | vmturbo/ceilometer | f856d3c915b738a64bce14967ba8114fe923c1af | [
"Apache-2.0"
] | null | null | null | ceilometer/cmd/storage.py | vmturbo/ceilometer | f856d3c915b738a64bce14967ba8114fe923c1af | [
"Apache-2.0"
] | 1 | 2019-09-16T02:11:41.000Z | 2019-09-16T02:11:41.000Z | # -*- encoding: utf-8 -*-
#
# Copyright 2014 OpenStack Foundation
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 32.565217 | 75 | 0.731642 |
import logging
from oslo.config import cfg
from ceilometer import service
from ceilometer import storage
cfg.CONF.import_opt('time_to_live', 'ceilometer.storage',
group='database')
LOG = logging.getLogger(__name__)
def dbsync():
service.prepare_service()
storage.get_con... | true | true |
f7f95efe4638a4b6abd0ebed0b02dd838996c6ef | 542 | py | Python | packages/python/plotly/plotly/validators/pie/_insidetextorientation.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/pie/_insidetextorientation.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | packages/python/plotly/plotly/validators/pie/_insidetextorientation.py | mastermind88/plotly.py | efa70710df1af22958e1be080e105130042f1839 | [
"MIT"
] | null | null | null | import _plotly_utils.basevalidators
class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="insidetextorientation", parent_name="pie", **kwargs
):
super(InsidetextorientationValidator, self).__init__(
plotly_name=plot... | 36.133333 | 88 | 0.664207 | import _plotly_utils.basevalidators
class InsidetextorientationValidator(_plotly_utils.basevalidators.EnumeratedValidator):
def __init__(
self, plotly_name="insidetextorientation", parent_name="pie", **kwargs
):
super(InsidetextorientationValidator, self).__init__(
plotly_name=plot... | true | true |
f7f95f5962303bd2f2a3a4349c065d7e7f872a13 | 856 | py | Python | Packs/Ransomware/Scripts/RansomwareHostWidget/RansomwareHostWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 799 | 2016-08-02T06:43:14.000Z | 2022-03-31T11:10:11.000Z | Packs/Ransomware/Scripts/RansomwareHostWidget/RansomwareHostWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 9,317 | 2016-08-07T19:00:51.000Z | 2022-03-31T21:56:04.000Z | Packs/Ransomware/Scripts/RansomwareHostWidget/RansomwareHostWidget.py | diCagri/content | c532c50b213e6dddb8ae6a378d6d09198e08fc9f | [
"MIT"
] | 1,297 | 2016-08-04T13:59:00.000Z | 2022-03-31T23:43:06.000Z | import demistomock as demisto # noqa: F401
from CommonServerPython import * # noqa: F401
incident = demisto.incidents()
data = {
"Type": 17,
"ContentsFormat": "number",
"Contents": {
"stats": int(incident[0].get('CustomFields', {}).get('ransomwareapproximatenumberofencryptedendpoints', 0)),
... | 25.939394 | 116 | 0.384346 | import demistomock as demisto
from CommonServerPython import *
incident = demisto.incidents()
data = {
"Type": 17,
"ContentsFormat": "number",
"Contents": {
"stats": int(incident[0].get('CustomFields', {}).get('ransomwareapproximatenumberofencryptedendpoints', 0)),
"params": {
... | true | true |
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