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1c2e83de294b08d097eda13bb958e629ecbb541e | 7,059 | py | Python | ParamGenerator/Phoenics/BayesianNeuralNetwork/pymc3_interface.py | Tabor-Research-Group/ChemOS | 50117f572e95e68dc4dccb624cedb28dbfc6e419 | [
"Apache-2.0"
] | 37 | 2018-03-20T21:23:11.000Z | 2022-03-26T08:19:20.000Z | ParamGenerator/Phoenics/BayesianNeuralNetwork/pymc3_interface.py | Tabor-Research-Group/ChemOS | 50117f572e95e68dc4dccb624cedb28dbfc6e419 | [
"Apache-2.0"
] | 1 | 2021-06-29T10:03:22.000Z | 2021-06-29T10:03:22.000Z | ParamGenerator/Phoenics/BayesianNeuralNetwork/pymc3_interface.py | Tabor-Research-Group/ChemOS | 50117f572e95e68dc4dccb624cedb28dbfc6e419 | [
"Apache-2.0"
] | 10 | 2018-05-16T21:04:05.000Z | 2021-10-15T18:14:06.000Z | #!/usr/bin/env python
__author__ = 'Florian Hase'
#========================================================================
import numpy as np
import theano
import theano.tensor as T
import pymc3 as pm
from Utils.utils import VarDictParser
#from BayesianNeuralNetwork.distributions import DiscreteLaplace
#======... | 41.523529 | 170 | 0.696274 |
__author__ = 'Florian Hase'
import numpy as np
import theano
import theano.tensor as T
import pymc3 as pm
from Utils.utils import VarDictParser
class Pymc3Network(VarDictParser):
def __init__(self, var_dicts, observed_params, observed_losses, batch_size, model_details):
VarDictParser.__init__(self, var_dict... | true | true |
1c2e84f9242aa5d5ab7410159ed00ce8f79e48be | 460 | py | Python | Matplotlib/Part 4/Part4.py | aritraroy24/Learning_NumPy_SciPy | cd33fbcb7dee11547b7c6e30692866373fb0ea5b | [
"MIT"
] | null | null | null | Matplotlib/Part 4/Part4.py | aritraroy24/Learning_NumPy_SciPy | cd33fbcb7dee11547b7c6e30692866373fb0ea5b | [
"MIT"
] | null | null | null | Matplotlib/Part 4/Part4.py | aritraroy24/Learning_NumPy_SciPy | cd33fbcb7dee11547b7c6e30692866373fb0ea5b | [
"MIT"
] | null | null | null | from matplotlib import pyplot as plt
plt.style.use("fivethirtyeight")
hours = [1, 2, 3, 4, 5, 6, 7, 8, 9]
dev1 = [8, 6, 5, 5, 4, 2, 1, 1, 0]
dev2 = [0, 1, 2, 2, 2, 4, 4, 4, 4]
dev3 = [0, 1, 1, 1, 2, 2, 3, 3, 4]
labels = ['Dev1', 'Dev2', 'Dev3']
colors = ['#6d904f', '#fc4f30', '#008fd5']
plt.stackplot(hours, dev1... | 20.909091 | 68 | 0.591304 | from matplotlib import pyplot as plt
plt.style.use("fivethirtyeight")
hours = [1, 2, 3, 4, 5, 6, 7, 8, 9]
dev1 = [8, 6, 5, 5, 4, 2, 1, 1, 0]
dev2 = [0, 1, 2, 2, 2, 4, 4, 4, 4]
dev3 = [0, 1, 1, 1, 2, 2, 3, 3, 4]
labels = ['Dev1', 'Dev2', 'Dev3']
colors = ['#6d904f', '#fc4f30', '#008fd5']
plt.stackplot(hours, dev1... | true | true |
1c2e85128466df3e710be0f1ad094ceda7965972 | 10,591 | py | Python | PythonExercises.py | jaxalbert/PythonExperiments | e5c658be1969b59be9a85a969db0e298f7e23bd6 | [
"MIT"
] | 2 | 2018-03-05T06:14:35.000Z | 2019-01-08T15:32:30.000Z | PythonExercises.py | jaxalbert/PythonExperiments | e5c658be1969b59be9a85a969db0e298f7e23bd6 | [
"MIT"
] | null | null | null | PythonExercises.py | jaxalbert/PythonExperiments | e5c658be1969b59be9a85a969db0e298f7e23bd6 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
def stemWord(w):
"""Renders a word in to its generic form.
This function is used preprocess words for NLP.
It removes all trailing punctuation marks "';-?.,!:".
It also removes the possessive "'s" from words.
And it converts it to all lower case
Args:
w (... | 35.901695 | 147 | 0.589274 |
def stemWord(w):
w=w.split("'")[0]#Separates and eliminates all after the "'"
w=[letter for letter in w if not (letter in ';-?.,!:')] return ''.join(w).lower()
class LanguageModel:
@staticmethod
def getWordFreq(txt):
list1 = txt.split()
newlist = []
dic = {}
... | true | true |
1c2e8556fed0cb0df722a9c46df711a1dc400983 | 14,733 | py | Python | yolov3_tf2/models.py | makra89/Quake_AI | 8df69c75b117079f5e40929341c4638e741de11d | [
"BSD-3-Clause"
] | 4 | 2022-02-10T22:13:37.000Z | 2022-03-27T18:44:38.000Z | yolov3_tf2/models.py | makra89/Quake_AI | 8df69c75b117079f5e40929341c4638e741de11d | [
"BSD-3-Clause"
] | 14 | 2021-08-29T13:36:12.000Z | 2021-09-22T05:22:57.000Z | yolov3_tf2/models.py | makra89/Quake_AI | 8df69c75b117079f5e40929341c4638e741de11d | [
"BSD-3-Clause"
] | 1 | 2021-11-21T21:01:31.000Z | 2021-11-21T21:01:31.000Z | import numpy as np
import tensorflow as tf
from tensorflow.keras import Model
from tensorflow.keras.layers import (
Add,
Concatenate,
Conv2D,
Input,
Lambda,
LeakyReLU,
MaxPool2D,
UpSampling2D,
ZeroPadding2D,
BatchNormalization,
)
from tensorflow.keras.regularizers import l2
from ... | 36.924812 | 110 | 0.602525 | import numpy as np
import tensorflow as tf
from tensorflow.keras import Model
from tensorflow.keras.layers import (
Add,
Concatenate,
Conv2D,
Input,
Lambda,
LeakyReLU,
MaxPool2D,
UpSampling2D,
ZeroPadding2D,
BatchNormalization,
)
from tensorflow.keras.regularizers import l2
from ... | true | true |
1c2e86674db23f39db6bd3763d114c2f1fca0050 | 2,508 | py | Python | test_jsondb.py | andreixk/SimpleRecipeManagerAPI | 240d536fc6783005c8fb48f54a75dfb7654b7680 | [
"MIT"
] | null | null | null | test_jsondb.py | andreixk/SimpleRecipeManagerAPI | 240d536fc6783005c8fb48f54a75dfb7654b7680 | [
"MIT"
] | null | null | null | test_jsondb.py | andreixk/SimpleRecipeManagerAPI | 240d536fc6783005c8fb48f54a75dfb7654b7680 | [
"MIT"
] | null | null | null | import pytest
from fastapi.testclient import TestClient
from unittest import mock
from unittest.mock import mock_open
import json
from jsondb import PrimitiveStorage, ObjectStorage
from conftest import Stub
class TestStorage():
@pytest.mark.parametrize('Storage,fake_data', [
(PrimitiveStorage, ['a','b']), ... | 41.8 | 86 | 0.639155 | import pytest
from fastapi.testclient import TestClient
from unittest import mock
from unittest.mock import mock_open
import json
from jsondb import PrimitiveStorage, ObjectStorage
from conftest import Stub
class TestStorage():
@pytest.mark.parametrize('Storage,fake_data', [
(PrimitiveStorage, ['a','b']), ... | true | true |
1c2e8693a0bd5d8977f78731eb94fec0b7bbd19d | 22,241 | py | Python | test/functional/test_framework/util.py | minblock/watacoin | 39b64687af9237feed324ee01e330e153aa5bc36 | [
"MIT"
] | null | null | null | test/functional/test_framework/util.py | minblock/watacoin | 39b64687af9237feed324ee01e330e153aa5bc36 | [
"MIT"
] | null | null | null | test/functional/test_framework/util.py | minblock/watacoin | 39b64687af9237feed324ee01e330e153aa5bc36 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2014-2018 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Helpful routines for regression testing."""
from base64 import b64encode
from binascii import hexlify,... | 38.882867 | 140 | 0.652309 |
from base64 import b64encode
from binascii import hexlify, unhexlify
from decimal import Decimal, ROUND_DOWN
import hashlib
import inspect
import json
import logging
import os
import random
import re
from subprocess import CalledProcessError
import time
from . import coverage
from .authproxy import AuthServiceProxy, ... | true | true |
1c2e869b0603b84c2ae7af7ba218f65b9f92ec56 | 17,754 | py | Python | wagl/data.py | ASVincent/wagl | cf3a72e53e53f3a7b2f2b5308068069b1b714f2a | [
"Apache-2.0"
] | null | null | null | wagl/data.py | ASVincent/wagl | cf3a72e53e53f3a7b2f2b5308068069b1b714f2a | [
"Apache-2.0"
] | null | null | null | wagl/data.py | ASVincent/wagl | cf3a72e53e53f3a7b2f2b5308068069b1b714f2a | [
"Apache-2.0"
] | 1 | 2019-01-23T00:51:56.000Z | 2019-01-23T00:51:56.000Z | """
Data access functions
---------------------
"""
from __future__ import absolute_import
from os.path import join as pjoin, basename, dirname
import subprocess
import tempfile
import logging
import numpy as np
import h5py
import rasterio
from rasterio.crs import CRS
from rasterio.warp import reproject
from rasterio... | 34.340426 | 77 | 0.611299 |
from __future__ import absolute_import
from os.path import join as pjoin, basename, dirname
import subprocess
import tempfile
import logging
import numpy as np
import h5py
import rasterio
from rasterio.crs import CRS
from rasterio.warp import reproject
from rasterio.enums import Resampling
from wagl.geobox import Gri... | true | true |
1c2e87352e339ee35eb0dfb1569501950c26402b | 388 | py | Python | nudni/wsgi.py | misli/nudni | a0c03cd3104a57d5104dd1f593a777a3571fca4d | [
"BSD-3-Clause"
] | 2 | 2017-11-18T11:12:10.000Z | 2017-11-18T11:12:12.000Z | nudni/wsgi.py | misli/nudni | a0c03cd3104a57d5104dd1f593a777a3571fca4d | [
"BSD-3-Clause"
] | null | null | null | nudni/wsgi.py | misli/nudni | a0c03cd3104a57d5104dd1f593a777a3571fca4d | [
"BSD-3-Clause"
] | null | null | null | """
WSGI config for nudni project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTIN... | 22.823529 | 78 | 0.783505 |
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "nudni.settings")
application = get_wsgi_application()
| true | true |
1c2e875a17af7e0890ffebcddd9c7877a9fa8af2 | 1,168 | py | Python | setup.py | yucelkilic/ASTRiDE | cca4e3ee0d907c3675d8f2dcf9246acf69027dae | [
"MIT"
] | null | null | null | setup.py | yucelkilic/ASTRiDE | cca4e3ee0d907c3675d8f2dcf9246acf69027dae | [
"MIT"
] | null | null | null | setup.py | yucelkilic/ASTRiDE | cca4e3ee0d907c3675d8f2dcf9246acf69027dae | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
def readme():
with open('README.rst') as f:
return f.read()
setup(
name='astride',
version='0.3.5',
description='Automated Streak Detection for High Velocity Objects',
long_description=readme(),
platforms=['any'],
packages=find_packages()... | 34.352941 | 76 | 0.598459 | from setuptools import find_packages, setup
def readme():
with open('README.rst') as f:
return f.read()
setup(
name='astride',
version='0.3.5',
description='Automated Streak Detection for High Velocity Objects',
long_description=readme(),
platforms=['any'],
packages=find_packages()... | true | true |
1c2e878fc87fe5d8f0093738d896b1c599ff30cc | 3,195 | py | Python | cobrinha trabalhadeira/lab06/lab6MT.py | ansattz/solving_sto | 4f66a0a78fdbfe101f07e0f7cb8f7c8b595f16b9 | [
"MIT"
] | null | null | null | cobrinha trabalhadeira/lab06/lab6MT.py | ansattz/solving_sto | 4f66a0a78fdbfe101f07e0f7cb8f7c8b595f16b9 | [
"MIT"
] | null | null | null | cobrinha trabalhadeira/lab06/lab6MT.py | ansattz/solving_sto | 4f66a0a78fdbfe101f07e0f7cb8f7c8b595f16b9 | [
"MIT"
] | null | null | null | # Douglas Vieira
# @ansattz
#1 - Não delete nem modifique esta linha
def lettercount(s):
phrase = str.split(s)
letters = len(phrase)
return letters
#Casos de teste da questão 1 - Não delete nem modifique esta linha
print(lettercount("Vamos terminar este lab hoje mesmo"))
# 2 - Não delete nem modifique ... | 28.783784 | 179 | 0.650704 |
def lettercount(s):
phrase = str.split(s)
letters = len(phrase)
return letters
print(lettercount("Vamos terminar este lab hoje mesmo"))
def phrasecount(s):
fpoint = str.replace(s,'...','.')
phtype1 = str.count(fpoint,'.')
phtype2 = str.count(s,'!')
phtype3 = str.count(s,'?')
ph... | true | true |
1c2e88c6ed8136dab2b63811698e0b327fcdc54f | 3,758 | py | Python | dl/scan/part_tflite.py | showkeyjar/beauty | 7c944cf896c899d9e23b2e50e293103bb03fe6cd | [
"MulanPSL-1.0"
] | 1 | 2022-01-29T12:32:38.000Z | 2022-01-29T12:32:38.000Z | dl/scan/part_tflite.py | showkeyjar/beauty | 7c944cf896c899d9e23b2e50e293103bb03fe6cd | [
"MulanPSL-1.0"
] | null | null | null | dl/scan/part_tflite.py | showkeyjar/beauty | 7c944cf896c899d9e23b2e50e293103bb03fe6cd | [
"MulanPSL-1.0"
] | null | null | null | #!/usr/bin/python
# -*- encoding: utf-8 -*-
import numpy as np
import cv2
from os.path import dirname, join
import tensorflow as tf
"""
判断人脸部位
"""
# Load TFLite model and allocate tensors.
model_file = join(dirname(__file__), "face_part.tflite")
interpreter = tf.compat.v1.lite.Interpreter(model_path=model_file)
# Ge... | 40.847826 | 184 | 0.61868 | import numpy as np
import cv2
from os.path import dirname, join
import tensorflow as tf
model_file = join(dirname(__file__), "face_part.tflite")
interpreter = tf.compat.v1.lite.Interpreter(model_path=model_file)
input_details = interpreter.get_input_details()
print("input:", input_details)
output_details = interpret... | true | true |
1c2e88e126f2fb3f6cce316611db58129c930a48 | 391 | py | Python | django_projects/chat_app_channels/chatapp/chatapp/asgi.py | phiratio/lpthw | a32240d4355fb331805d515f96e1d009914e5c47 | [
"MIT"
] | 1 | 2021-04-21T09:38:38.000Z | 2021-04-21T09:38:38.000Z | django_projects/chat_app_channels/chatapp/chatapp/asgi.py | phiratio/lpthw | a32240d4355fb331805d515f96e1d009914e5c47 | [
"MIT"
] | 34 | 2019-12-16T16:53:24.000Z | 2022-01-13T02:29:30.000Z | django_projects/chat_app_channels/chatapp/chatapp/asgi.py | phiratio/lpthw | a32240d4355fb331805d515f96e1d009914e5c47 | [
"MIT"
] | null | null | null | """
ASGI config for chatapp project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.0/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTI... | 23 | 78 | 0.785166 |
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'chatapp.settings')
application = get_asgi_application()
| true | true |
1c2e88eb86dd7141662fd801b624b54caf1cf2ef | 1,370 | py | Python | backend/database/migration.py | GCETTB-HYLAND-Hackathon2012-22/Miracurol-Rebuild | a6748e93b45872efdbaca013388dd6277824a9a5 | [
"Apache-2.0"
] | null | null | null | backend/database/migration.py | GCETTB-HYLAND-Hackathon2012-22/Miracurol-Rebuild | a6748e93b45872efdbaca013388dd6277824a9a5 | [
"Apache-2.0"
] | null | null | null | backend/database/migration.py | GCETTB-HYLAND-Hackathon2012-22/Miracurol-Rebuild | a6748e93b45872efdbaca013388dd6277824a9a5 | [
"Apache-2.0"
] | null | null | null | import pathlib
from alembic import command
from alembic.config import Config as AlembicConfig
from sqlalchemy.engine import make_url
from backend.commons.enums import Config
from backend.utils.config_utils import read_config
def run_migrations(downgrade_first: bool = False) -> None:
script_location: str = f'{re... | 35.128205 | 89 | 0.729197 | import pathlib
from alembic import command
from alembic.config import Config as AlembicConfig
from sqlalchemy.engine import make_url
from backend.commons.enums import Config
from backend.utils.config_utils import read_config
def run_migrations(downgrade_first: bool = False) -> None:
script_location: str = f'{re... | true | true |
1c2e897ad5c9e8578ce18e6f53c03911e852907f | 700 | py | Python | brain/src/sm_main.py | FabianFalck/de_niro | 1f9d05b7232cb9e76eff975e5ef1c8bf3fb5cde6 | [
"MIT"
] | 7 | 2019-06-12T03:36:15.000Z | 2021-06-27T18:39:40.000Z | brain/src/sm_main.py | Hankfirst/de_niro | 1f9d05b7232cb9e76eff975e5ef1c8bf3fb5cde6 | [
"MIT"
] | null | null | null | brain/src/sm_main.py | Hankfirst/de_niro | 1f9d05b7232cb9e76eff975e5ef1c8bf3fb5cde6 | [
"MIT"
] | 3 | 2019-06-12T03:35:36.000Z | 2021-06-27T04:37:31.000Z | #!/usr/bin/env python
"""
Main thread for running the state machine.
Author: Sagar Doshi
Date: 05/2018
"""
import rospy
import smach_ros
import unittest
import threading
import time
# Custom modules import
import sm_mach
if __name__ == "__main__":
rospy.init_node('fezzik_state_machine')
# Create the state... | 20 | 85 | 0.715714 |
import rospy
import smach_ros
import unittest
import threading
import time
import sm_mach
if __name__ == "__main__":
rospy.init_node('fezzik_state_machine')
sm = sm_mach.init_sm()
# containers, so only need to add this to the top-level state machine
sis = smach_ros.IntrospectionServer("Fez... | true | true |
1c2e8983ec719dce811b9524bf40526bfd2eedb5 | 193 | py | Python | py_tdlib/constructors/set_scope_notification_settings.py | Mr-TelegramBot/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 24 | 2018-10-05T13:04:30.000Z | 2020-05-12T08:45:34.000Z | py_tdlib/constructors/set_scope_notification_settings.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 3 | 2019-06-26T07:20:20.000Z | 2021-05-24T13:06:56.000Z | py_tdlib/constructors/set_scope_notification_settings.py | MrMahdi313/python-tdlib | 2e2d21a742ebcd439971a32357f2d0abd0ce61eb | [
"MIT"
] | 5 | 2018-10-05T14:29:28.000Z | 2020-08-11T15:04:10.000Z | from ..factory import Method
class setScopeNotificationSettings(Method):
scope = None # type: "NotificationSettingsScope"
notification_settings = None # type: "scopeNotificationSettings"
| 27.571429 | 66 | 0.797927 | from ..factory import Method
class setScopeNotificationSettings(Method):
scope = None notification_settings = None | true | true |
1c2e8a2ecb1994da7171f9cf7c06b1e07ef5eb21 | 717 | py | Python | testutils/decorators.py | getmetamapper/metamapper | 0b2f67eec03fbf7ece35ff9f58ea9bb2dde4d85f | [
"BSD-2-Clause"
] | 53 | 2020-07-01T23:11:59.000Z | 2022-03-31T19:10:28.000Z | testutils/decorators.py | getmetamapper/metamapper | 0b2f67eec03fbf7ece35ff9f58ea9bb2dde4d85f | [
"BSD-2-Clause"
] | 5 | 2020-11-25T19:48:57.000Z | 2022-02-27T23:50:18.000Z | testutils/decorators.py | getmetamapper/metamapper | 0b2f67eec03fbf7ece35ff9f58ea9bb2dde4d85f | [
"BSD-2-Clause"
] | 5 | 2020-08-29T16:43:59.000Z | 2022-01-17T19:05:30.000Z | # -*- coding: utf-8 -*-
import functools
import testutils.helpers as helpers
def as_someone(user_types):
"""Decorator to mimic different user roles.
"""
def the_decorator(func):
@functools.wraps(func)
def func_wrapper(view, *args, **kwargs):
cached_user = view.user
... | 32.590909 | 84 | 0.608089 | import functools
import testutils.helpers as helpers
def as_someone(user_types):
def the_decorator(func):
@functools.wraps(func)
def func_wrapper(view, *args, **kwargs):
cached_user = view.user
for user_type in user_types:
view.user_type = user_type
... | true | true |
1c2e8be0c07c4c79c57782db9882b7b968cd8d52 | 7,198 | py | Python | models.py | mrdbarros/csgo_analyze | a4d7487bd56a14a99dc762920965060a5a43fa15 | [
"Apache-2.0"
] | null | null | null | models.py | mrdbarros/csgo_analyze | a4d7487bd56a14a99dc762920965060a5a43fa15 | [
"Apache-2.0"
] | 4 | 2020-06-17T20:24:53.000Z | 2021-09-28T03:55:45.000Z | models.py | mrdbarros/csgo_analyze | a4d7487bd56a14a99dc762920965060a5a43fa15 | [
"Apache-2.0"
] | null | null | null | import data_loading
import torch
def emb_sz_rule(n_cat):
"Rule of thumb to pick embedding size corresponding to `n_cat`"
return min(600, round(1.6 * n_cat ** 0.56))
class LinBnDrop(torch.nn.Sequential):
"Module grouping `BatchNorm1d`, `Dropout` and `Linear` layers"
def __init__(self, n_in, n_out... | 45.556962 | 137 | 0.634065 | import data_loading
import torch
def emb_sz_rule(n_cat):
return min(600, round(1.6 * n_cat ** 0.56))
class LinBnDrop(torch.nn.Sequential):
def __init__(self, n_in, n_out, bn=True, p=0., act=None, lin_first=False):
layers = [torch.nn.BatchNorm1d(n_in)] if bn else []
if p != 0: layers.appe... | true | true |
1c2e8bf63583af76879137c28d1e1bfd7558d730 | 5,464 | py | Python | quantumGAN/deprecated_files/discriminator_minimax.py | tomiock/qGAN | fb98a2b5286eb479665ade353efa40bd6e55dc36 | [
"Apache-2.0"
] | 1 | 2021-06-14T09:33:32.000Z | 2021-06-14T09:33:32.000Z | quantumGAN/deprecated_files/discriminator_minimax.py | tomiock/gGAN | fb98a2b5286eb479665ade353efa40bd6e55dc36 | [
"Apache-2.0"
] | 7 | 2021-06-14T12:21:40.000Z | 2021-10-01T07:29:01.000Z | quantumGAN/deprecated_files/discriminator_minimax.py | tomiock/qGAN | fb98a2b5286eb479665ade353efa40bd6e55dc36 | [
"Apache-2.0"
] | null | null | null | """DISCRIMINATOR BCE"""
import json
import random
from typing import Dict, List
import numpy as np
from quantumGAN.functions import minimax_derivative_fake, minimax_derivative_real, sigmoid, \
sigmoid_prime
def load(filename):
f = open(filename, "r")
data = json.load(f)
f.close()
# cost = getattr(sys.modules[_... | 35.947368 | 93 | 0.646962 | import json
import random
from typing import Dict, List
import numpy as np
from quantumGAN.functions import minimax_derivative_fake, minimax_derivative_real, sigmoid, \
sigmoid_prime
def load(filename):
f = open(filename, "r")
data = json.load(f)
f.close()
net = ClassicalDiscriminatorMINIMAX(None, None, data[... | true | true |
1c2e8da7f1a8c7cb5c1ba3839e249911f1c92d46 | 271 | py | Python | 18_Math3/Step01/wowo0709.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | 18_Math3/Step01/wowo0709.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | 3 | 2020-11-04T05:38:53.000Z | 2021-03-02T02:15:19.000Z | 18_Math3/Step01/wowo0709.py | StudyForCoding/BEAKJOON | 84e1c5e463255e919ccf6b6a782978c205420dbf | [
"MIT"
] | null | null | null | while(1):
a,b = map(int,input().split())
if a==0 and b==0:
exit(0)
elif (a!=0 and b==0) or (a==0 and b!=0):
print('neither')
elif a%b==0:
print('multiple')
elif b%a==0:
print('factor')
else:
print('neither') | 22.583333 | 44 | 0.457565 | while(1):
a,b = map(int,input().split())
if a==0 and b==0:
exit(0)
elif (a!=0 and b==0) or (a==0 and b!=0):
print('neither')
elif a%b==0:
print('multiple')
elif b%a==0:
print('factor')
else:
print('neither') | true | true |
1c2e8db06813e97495b935f3a62d070441bf6d9a | 1,756 | py | Python | code/venv/lib/python3.8/site-packages/datadog_api_client/v1/model/synthetics_basic_auth_ntlm_type.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | code/venv/lib/python3.8/site-packages/datadog_api_client/v1/model/synthetics_basic_auth_ntlm_type.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | code/venv/lib/python3.8/site-packages/datadog_api_client/v1/model/synthetics_basic_auth_ntlm_type.py | Valisback/hiring-engineers | 7196915dd5a429ae27c21fa43d527f0332e662ed | [
"Apache-2.0"
] | null | null | null | # Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License.
# This product includes software developed at Datadog (https://www.datadoghq.com/).
# Copyright 2019-Present Datadog, Inc.
from datadog_api_client.v1.model_utils import (
ModelSimple,
cached_property,
... | 27.4375 | 142 | 0.612756 |
from datadog_api_client.v1.model_utils import (
ModelSimple,
cached_property,
)
class SyntheticsBasicAuthNTLMType(ModelSimple):
allowed_values = {
"value": {
"NTLM": "ntlm",
},
}
validations = {}
@cached_property
def openapi_types():
return {
... | true | true |
1c2e8e6321d95ddbf511a3d098115f8a1538a5ba | 549 | py | Python | yamtbx/dataproc/xds/command_line/xds_integrate_lp_to_xparm.py | 7l2icj/kamo_clone | 5f4a5eed3cd9d91a021d805e46125c19cc2ed1b6 | [
"BSD-3-Clause"
] | 16 | 2016-05-20T11:19:40.000Z | 2021-01-01T19:44:23.000Z | yamtbx/dataproc/xds/command_line/xds_integrate_lp_to_xparm.py | 7l2icj/kamo_clone | 5f4a5eed3cd9d91a021d805e46125c19cc2ed1b6 | [
"BSD-3-Clause"
] | 4 | 2017-03-10T00:51:11.000Z | 2021-02-07T17:18:46.000Z | yamtbx/dataproc/xds/command_line/xds_integrate_lp_to_xparm.py | 7l2icj/kamo_clone | 5f4a5eed3cd9d91a021d805e46125c19cc2ed1b6 | [
"BSD-3-Clause"
] | 9 | 2016-12-15T16:00:06.000Z | 2021-09-10T08:34:14.000Z | #!/usr/bin/env yamtbx.python
"""
(c) RIKEN 2015. All rights reserved.
Author: Keitaro Yamashita
This software is released under the new BSD License; see LICENSE.
"""
import os
from yamtbx.dataproc.xds.xparm import get_xparm_from_integrate_lp
def run(integrate_lp, frame_num):
xparm_str = get_xparm_from_integrate... | 23.869565 | 68 | 0.724954 |
import os
from yamtbx.dataproc.xds.xparm import get_xparm_from_integrate_lp
def run(integrate_lp, frame_num):
xparm_str = get_xparm_from_integrate_lp(integrate_lp, frame_num)
open("XPARM.XDS.%.4d"%frame_num, "w").write(xparm_str)
if __name__ == "__main__":
import sys
integrate_lp = sys.argv[1]
f... | true | true |
1c2e8ee4df75228959da73fbbd7d2db0011e6712 | 430 | py | Python | Week2/problem1.py | AustinKladke/6.00.1x-MIT-CS-Python | 0f9e2840fdd5f005bae2a53a3b8a251e0635654e | [
"MIT"
] | null | null | null | Week2/problem1.py | AustinKladke/6.00.1x-MIT-CS-Python | 0f9e2840fdd5f005bae2a53a3b8a251e0635654e | [
"MIT"
] | null | null | null | Week2/problem1.py | AustinKladke/6.00.1x-MIT-CS-Python | 0f9e2840fdd5f005bae2a53a3b8a251e0635654e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sun Feb 7 11:40:18 2021
@author: akladke
"""
#balance = 42
balance = 484
annualInterestRate = 0.2
monthlyPaymentRate = 0.04
for i in range(0, 12):
min_payment = balance * monthlyPaymentRate
unpaid_balance = balance - min_payment
interest = annualInterestRate/12 * u... | 23.888889 | 53 | 0.702326 |
balance = 484
annualInterestRate = 0.2
monthlyPaymentRate = 0.04
for i in range(0, 12):
min_payment = balance * monthlyPaymentRate
unpaid_balance = balance - min_payment
interest = annualInterestRate/12 * unpaid_balance
balance = round(unpaid_balance + interest, 2)
print("Remaining balance: {}".format... | true | true |
1c2e8f5126310bf5dc00013e478e20cf77af87a8 | 1,858 | py | Python | Hash.py | V3noM-Cyber/Hashjokar | 9d29bbdee22e29488074bc2b16178d91cee2778e | [
"MIT"
] | null | null | null | Hash.py | V3noM-Cyber/Hashjokar | 9d29bbdee22e29488074bc2b16178d91cee2778e | [
"MIT"
] | null | null | null | Hash.py | V3noM-Cyber/Hashjokar | 9d29bbdee22e29488074bc2b16178d91cee2778e | [
"MIT"
] | null | null | null | import hashlib
from colorama import init
from time import *
from termcolor import colored
import sys
import os
import hashlib, binascii
from colorama import Fore, Back, Style
hash = ""
init()
print( Fore.RED+'''
●🔥════════════════════════◄►═══════════════════🔥●
██╗░░░██╗██████╗░███╗░░██╗░█████╗░███╗░░░███╗
██║░... | 29.967742 | 70 | 0.453714 | import hashlib
from colorama import init
from time import *
from termcolor import colored
import sys
import os
import hashlib, binascii
from colorama import Fore, Back, Style
hash = ""
init()
print( Fore.RED+'''
●🔥════════════════════════◄►═══════════════════🔥●
██╗░░░██╗██████╗░███╗░░██╗░█████╗░███╗░░░███╗
██║░... | true | true |
1c2e8f59e079c1df103e60b7754c0feb424f213c | 363 | py | Python | doc/tutorials/data/03_halide_basic.py | Hconk/AutoKernel | edfb409efe37e2aea5350961e3a8160c11856853 | [
"Apache-2.0"
] | 754 | 2020-11-11T06:34:26.000Z | 2022-03-29T03:45:36.000Z | doc/tutorials/data/03_halide_basic.py | Hconk/AutoKernel | edfb409efe37e2aea5350961e3a8160c11856853 | [
"Apache-2.0"
] | 16 | 2020-12-01T03:27:01.000Z | 2021-08-13T06:20:58.000Z | doc/tutorials/data/03_halide_basic.py | Hconk/AutoKernel | edfb409efe37e2aea5350961e3a8160c11856853 | [
"Apache-2.0"
] | 82 | 2020-11-12T00:14:45.000Z | 2022-03-27T09:22:08.000Z |
#!/usr/bin/python3
import halide as hl
x, y = hl.Var("x"), hl.Var("y")
func = hl.Func("func")
func[x,y] = x + 10*y
#func.trace_stores()
out = func.realize(3, 4) # width, height = 3,4
print("=============================")
for j in range(out.height()):
for i in range(out.width()):
print("out[x=%i,y=%i... | 16.5 | 49 | 0.517906 |
import halide as hl
x, y = hl.Var("x"), hl.Var("y")
func = hl.Func("func")
func[x,y] = x + 10*y
out = func.realize(3, 4)
print("=============================")
for j in range(out.height()):
for i in range(out.width()):
print("out[x=%i,y=%i]=%i"%(i,j,out[i,j]))
print("Success!")
| true | true |
1c2e90a0f9ba63d07086acc94891fb7c5086ab1e | 4,403 | py | Python | usaspending_api/etl/transaction_loaders/data_load_helpers.py | gaybro8777/usaspending-api | fe9d730acd632401bbbefa168e3d86d59560314b | [
"CC0-1.0"
] | null | null | null | usaspending_api/etl/transaction_loaders/data_load_helpers.py | gaybro8777/usaspending-api | fe9d730acd632401bbbefa168e3d86d59560314b | [
"CC0-1.0"
] | null | null | null | usaspending_api/etl/transaction_loaders/data_load_helpers.py | gaybro8777/usaspending-api | fe9d730acd632401bbbefa168e3d86d59560314b | [
"CC0-1.0"
] | null | null | null | from datetime import datetime
import os
import re
import boto3
import csv
import logging
from django.conf import settings
logger = logging.getLogger("console")
def capitalize_if_string(val):
try:
return val.upper()
except AttributeError:
return val
# 10/31/2019: According to PO direction, ... | 35.796748 | 121 | 0.633205 | from datetime import datetime
import os
import re
import boto3
import csv
import logging
from django.conf import settings
logger = logging.getLogger("console")
def capitalize_if_string(val):
try:
return val.upper()
except AttributeError:
return val
def false_if_null(val):
if val is Non... | true | true |
1c2e90c332fe1e210457721c098a7ba2d97cb487 | 7,344 | py | Python | src/external_model.py | alex-calderwood/twine_generation | 8a3ba3779bffeb7a0b18bfd0960685b26bd4e5e8 | [
"BSD-4-Clause-UC"
] | 2 | 2021-11-18T07:28:09.000Z | 2022-03-23T13:56:18.000Z | src/external_model.py | alex-calderwood/twine_generation | 8a3ba3779bffeb7a0b18bfd0960685b26bd4e5e8 | [
"BSD-4-Clause-UC"
] | null | null | null | src/external_model.py | alex-calderwood/twine_generation | 8a3ba3779bffeb7a0b18bfd0960685b26bd4e5e8 | [
"BSD-4-Clause-UC"
] | null | null | null | import openai
import os
import time
import twee_utils as utils
# Load your API key from an environment variable or secret management service
openai.api_key = os.getenv("OPENAI_API_KEY")
ZERO_SHOT = open('src/zero_shot.txt', 'r').read()
class TwineGenerator:
def __init__(self, model='context', verbose=True):
... | 45.614907 | 1,616 | 0.651144 | import openai
import os
import time
import twee_utils as utils
openai.api_key = os.getenv("OPENAI_API_KEY")
ZERO_SHOT = open('src/zero_shot.txt', 'r').read()
class TwineGenerator:
def __init__(self, model='context', verbose=True):
self.model = model.lower()
self.verbose = bool(verbose)
... | true | true |
1c2e9132a54de644c28ae19522b0d1693090fb3f | 10,968 | py | Python | models/llc_score.py | litosly/RankingOptimizationApprochtoLLC | b6b79fb1364fcc481aa84093a8e8399966b19d02 | [
"MIT"
] | 5 | 2020-10-10T02:11:16.000Z | 2021-11-08T22:55:34.000Z | models/llc_score.py | litosly/RankingOptimizationApprochtoLLC | b6b79fb1364fcc481aa84093a8e8399966b19d02 | [
"MIT"
] | null | null | null | models/llc_score.py | litosly/RankingOptimizationApprochtoLLC | b6b79fb1364fcc481aa84093a8e8399966b19d02 | [
"MIT"
] | 2 | 2020-10-22T14:50:43.000Z | 2021-08-15T07:00:43.000Z | from prediction.predictor import predict_scores, predict_vector
from sklearn.linear_model import LinearRegression
from utils.critique import LP1SimplifiedOptimize
from utils.keyphrase_selection import *
import numpy as np
from tqdm import tqdm
class LP1Simplified(object):
def __init__(self, keyphrase_freq, item_... | 60.596685 | 185 | 0.535284 | from prediction.predictor import predict_scores, predict_vector
from sklearn.linear_model import LinearRegression
from utils.critique import LP1SimplifiedOptimize
from utils.keyphrase_selection import *
import numpy as np
from tqdm import tqdm
class LP1Simplified(object):
def __init__(self, keyphrase_freq, item_... | true | true |
1c2e91ad8c46cbfb50cd64e65f5ea767cbea1915 | 4,982 | py | Python | sld-api-backend/helpers/get_data.py | guorenxi/Stack-Lifecycle-Deployment | 2780441cb692392993116cf94c14a94ae8edbc6c | [
"MIT"
] | null | null | null | sld-api-backend/helpers/get_data.py | guorenxi/Stack-Lifecycle-Deployment | 2780441cb692392993116cf94c14a94ae8edbc6c | [
"MIT"
] | null | null | null | sld-api-backend/helpers/get_data.py | guorenxi/Stack-Lifecycle-Deployment | 2780441cb692392993116cf94c14a94ae8edbc6c | [
"MIT"
] | null | null | null | from fastapi import HTTPException
from celery.result import AsyncResult
from datetime import datetime
from functools import wraps
from croniter import croniter
import redis
from crud import stacks as crud_stacks
from crud import deploys as crud_deploys
from crud import user as crud_users
from crud import activityLogs ... | 32.776316 | 117 | 0.642914 | from fastapi import HTTPException
from celery.result import AsyncResult
from datetime import datetime
from functools import wraps
from croniter import croniter
import redis
from crud import stacks as crud_stacks
from crud import deploys as crud_deploys
from crud import user as crud_users
from crud import activityLogs ... | true | true |
1c2e91e14d21753133705a1872b6a3cc03cf96d4 | 1,675 | py | Python | Autoencoding/save32by32ForAll.py | MiningMyBusiness/SketchyExperiments | 11f3baee63a984501b9707aa58420540b19db59f | [
"MIT"
] | 2 | 2019-01-31T19:56:50.000Z | 2019-03-21T12:26:57.000Z | Autoencoding/save32by32ForAll.py | MiningMyBusiness/SketchyExperiments | 11f3baee63a984501b9707aa58420540b19db59f | [
"MIT"
] | null | null | null | Autoencoding/save32by32ForAll.py | MiningMyBusiness/SketchyExperiments | 11f3baee63a984501b9707aa58420540b19db59f | [
"MIT"
] | null | null | null | ## Name: Save 32 by 32 image vector
## Description: Reads in the matrix representation of the images
## for each class and resizes each image from 256 by 256
## to 32 by 32 and then converts it to a vector with
## 1024 elements (32*32). A stack of these vectors (matrix)
## ... | 34.895833 | 80 | 0.654328 |
import glob
import numpy as np
import matplotlib.pyplot as plt
import cv2
dataLoc = '256X256/sketch/tx_000100000000'
allFolders = glob.glob(dataLoc + '/*')
newSize = 32
def readImgAndResize(folderName, multi, newSize):
imgStack_mat = np.load(folder + '/matStack.npy')
num_of_images = imgStack_m... | true | true |
1c2e9290459d49bd1262122f8dd1051edf6b6a31 | 1,516 | py | Python | crypto_data_app/__init__.py | gldeng/crypto-data-app | 4460ffd2417a02605862b66073e172519ea5fbd7 | [
"MIT"
] | null | null | null | crypto_data_app/__init__.py | gldeng/crypto-data-app | 4460ffd2417a02605862b66073e172519ea5fbd7 | [
"MIT"
] | null | null | null | crypto_data_app/__init__.py | gldeng/crypto-data-app | 4460ffd2417a02605862b66073e172519ea5fbd7 | [
"MIT"
] | null | null | null | from flask_redis import FlaskRedis
from flask import Flask
from flask_restful import Resource, Api
from datetime import datetime
def create_app(config_pyfile):
app = Flask(__name__, instance_relative_config=False)
app.config.from_pyfile(config_pyfile)
redis_store = FlaskRedis(app, strict=False)
api =... | 31.583333 | 88 | 0.525066 | from flask_redis import FlaskRedis
from flask import Flask
from flask_restful import Resource, Api
from datetime import datetime
def create_app(config_pyfile):
app = Flask(__name__, instance_relative_config=False)
app.config.from_pyfile(config_pyfile)
redis_store = FlaskRedis(app, strict=False)
api =... | true | true |
1c2e930bbcde5c690c5b9f48f7f7e63d0c74e976 | 2,587 | py | Python | Space Invaders/utilities/deus_ex.py | msutic/python_project_alpha | 5fed153babf294ce5f5714de8f711b1a5943d2d5 | [
"MIT"
] | 1 | 2021-01-08T00:38:02.000Z | 2021-01-08T00:38:02.000Z | Space Invaders/utilities/deus_ex.py | msutic/python_project_alpha | 5fed153babf294ce5f5714de8f711b1a5943d2d5 | [
"MIT"
] | 4 | 2021-01-12T20:07:19.000Z | 2021-03-19T22:21:31.000Z | Space Invaders/utilities/deus_ex.py | msutic/python_project_alpha | 5fed153babf294ce5f5714de8f711b1a5943d2d5 | [
"MIT"
] | null | null | null | from time import time, sleep
from PyQt5.QtCore import pyqtSignal, QThread, pyqtSlot
from PyQt5.QtWidgets import QLabel
from config import cfg
class DeusEx(QThread):
empower = pyqtSignal(QLabel)
collision_occured = pyqtSignal(QLabel, QLabel, int)
def __init__(self):
super().__init__()
... | 33.166667 | 90 | 0.526479 | from time import time, sleep
from PyQt5.QtCore import pyqtSignal, QThread, pyqtSlot
from PyQt5.QtWidgets import QLabel
from config import cfg
class DeusEx(QThread):
empower = pyqtSignal(QLabel)
collision_occured = pyqtSignal(QLabel, QLabel, int)
def __init__(self):
super().__init__()
... | true | true |
1c2e93b8c4720408303fc37f202fa46b4a4ef25f | 5,329 | py | Python | confidnet/loaders/loader.py | luoyan407/predict_trustworthiness_smallscale | b7e1e2a68b0aee9b484228d1b5686f7252919e97 | [
"Apache-2.0"
] | 149 | 2019-10-01T14:04:05.000Z | 2022-03-24T12:25:15.000Z | confidnet/loaders/loader.py | luoyan407/predict_trustworthiness_smallscale | b7e1e2a68b0aee9b484228d1b5686f7252919e97 | [
"Apache-2.0"
] | 10 | 2019-12-12T09:45:50.000Z | 2021-12-27T04:45:22.000Z | confidnet/loaders/loader.py | luoyan407/predict_trustworthiness_smallscale | b7e1e2a68b0aee9b484228d1b5686f7252919e97 | [
"Apache-2.0"
] | 30 | 2019-12-02T16:25:22.000Z | 2022-02-16T10:48:47.000Z | from pathlib import Path
import numpy as np
import torch
from torch.utils.data.sampler import SubsetRandomSampler
from confidnet.augmentations import get_composed_augmentations
from confidnet.utils.logger import get_logger
LOGGER = get_logger(__name__, level="DEBUG")
class AbstractDataLoader:
def __init__(s... | 42.632 | 128 | 0.605555 | from pathlib import Path
import numpy as np
import torch
from torch.utils.data.sampler import SubsetRandomSampler
from confidnet.augmentations import get_composed_augmentations
from confidnet.utils.logger import get_logger
LOGGER = get_logger(__name__, level="DEBUG")
class AbstractDataLoader:
def __init__(s... | true | true |
1c2e9443cf5eb3a35aeb948b351e7d6cdc5b1396 | 13,537 | py | Python | plugins/modules/oci_analytics_private_access_channel.py | slmjy/oci-ansible-collection | 349c91e2868bf4706a6e3d6fb3b47fc622bfe11b | [
"Apache-2.0"
] | 108 | 2020-05-19T20:46:10.000Z | 2022-03-25T14:10:01.000Z | plugins/modules/oci_analytics_private_access_channel.py | slmjy/oci-ansible-collection | 349c91e2868bf4706a6e3d6fb3b47fc622bfe11b | [
"Apache-2.0"
] | 90 | 2020-06-14T22:07:11.000Z | 2022-03-07T05:40:29.000Z | plugins/modules/oci_analytics_private_access_channel.py | slmjy/oci-ansible-collection | 349c91e2868bf4706a6e3d6fb3b47fc622bfe11b | [
"Apache-2.0"
] | 42 | 2020-08-30T23:09:12.000Z | 2022-03-25T16:58:01.000Z | #!/usr/bin/python
# Copyright (c) 2020, 2021 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 36.785326 | 150 | 0.650218 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_analytics_private_access_channel
short_description: Manage a PrivateAccessChann... | true | true |
1c2e95f5e12bce802fd887828e3ab4159233eaa3 | 414 | py | Python | reapit/reapit/doctype/item_sync_settings/item_sync_settings.py | rtdany10/reapit | aba62ac13fb1a81da9e2e182506712416b63aa92 | [
"MIT"
] | null | null | null | reapit/reapit/doctype/item_sync_settings/item_sync_settings.py | rtdany10/reapit | aba62ac13fb1a81da9e2e182506712416b63aa92 | [
"MIT"
] | null | null | null | reapit/reapit/doctype/item_sync_settings/item_sync_settings.py | rtdany10/reapit | aba62ac13fb1a81da9e2e182506712416b63aa92 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2021, Wahni Green Technologies and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
class ItemSyncSettings(Document):
def validate(self):
if self.enabled:
if not... | 29.571429 | 63 | 0.768116 |
from __future__ import unicode_literals
import frappe
from frappe.model.document import Document
class ItemSyncSettings(Document):
def validate(self):
if self.enabled:
if not (self.api_endpoint and self.price_list):
frappe.throw("Invalid endpoint or price list.")
| true | true |
1c2e972200daba906a25b9d9ebe3ed09289c0ab6 | 10,914 | py | Python | tests/test_scrape_ew_and_errew.py | mwanakijiji/rrlfe2 | 0637b348b8d3e54ff34c56caa8b4c6fdac1c699e | [
"MIT"
] | null | null | null | tests/test_scrape_ew_and_errew.py | mwanakijiji/rrlfe2 | 0637b348b8d3e54ff34c56caa8b4c6fdac1c699e | [
"MIT"
] | 18 | 2022-01-13T14:43:57.000Z | 2022-03-24T12:52:41.000Z | tests/test_scrape_ew_and_errew.py | mwanakijiji/rrlfe | 4a822bb499bd0af4543f8b34d9322e812a5a3d2c | [
"MIT"
] | null | null | null | import matplotlib
matplotlib.use('Agg')
import sys, os
from configparser import ConfigParser, ExtendedInterpolation
import pandas as pd
import astropy
current_dir = os.path.dirname(__file__)
target_dir = os.path.abspath(os.path.join(current_dir, "../"))
sys.path.insert(0, target_dir)
# import more things with change... | 52.724638 | 208 | 0.723566 | import matplotlib
matplotlib.use('Agg')
import sys, os
from configparser import ConfigParser, ExtendedInterpolation
import pandas as pd
import astropy
current_dir = os.path.dirname(__file__)
target_dir = os.path.abspath(os.path.join(current_dir, "../"))
sys.path.insert(0, target_dir)
from modules import *
from modul... | true | true |
1c2e97e86be84acb21ba351d83b002528e614107 | 23,642 | py | Python | src/translate.py | CloudRenderVR/human-motion-prediction-pytorch-uncertainty | cb96f3b2d8a2b54916b2f3f76c1c9b982af5b46b | [
"MIT"
] | null | null | null | src/translate.py | CloudRenderVR/human-motion-prediction-pytorch-uncertainty | cb96f3b2d8a2b54916b2f3f76c1c9b982af5b46b | [
"MIT"
] | null | null | null | src/translate.py | CloudRenderVR/human-motion-prediction-pytorch-uncertainty | cb96f3b2d8a2b54916b2f3f76c1c9b982af5b46b | [
"MIT"
] | null | null | null |
"""Simple code for training an RNN for motion prediction."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import os
import random
import sys
import time
import h5py
import numpy as np
from six.moves import xrange # pylint: disable=redefined... | 39.469115 | 169 | 0.641232 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import os
import random
import sys
import time
import h5py
import numpy as np
from six.moves import xrange
import data_utils
import seq2seq_model
import torch
import torch.optim as optim
from to... | true | true |
1c2e97f80754cf03aef7cce4dbf0e63f4c25eeb5 | 141 | py | Python | solutions/Video_analysis/webservice/service/__init__.py | xiaogaozi/bootcamp | d1a4b69edc3f7e31ce3809043128348aa3597df6 | [
"Apache-2.0"
] | 1 | 2021-04-06T06:13:20.000Z | 2021-04-06T06:13:20.000Z | solutions/Video_analysis/webservice/service/__init__.py | xiaogaozi/bootcamp | d1a4b69edc3f7e31ce3809043128348aa3597df6 | [
"Apache-2.0"
] | null | null | null | solutions/Video_analysis/webservice/service/__init__.py | xiaogaozi/bootcamp | d1a4b69edc3f7e31ce3809043128348aa3597df6 | [
"Apache-2.0"
] | null | null | null | import logging
logging.basicConfig(filename='app.log', filemode='w', format='%(asctime)s - %(levelname)s - %(message)s', level=logging.INFO)
| 47 | 125 | 0.723404 | import logging
logging.basicConfig(filename='app.log', filemode='w', format='%(asctime)s - %(levelname)s - %(message)s', level=logging.INFO)
| true | true |
1c2e98c5d3a6ae7e454bd0a11c1fd19a668d87f1 | 727 | py | Python | 0-python-tutorial/15-whileLoops01.py | luis2ra/py3-00-w3schools | 6bb851837f8ef9520491d13fa2c909047c9b18cf | [
"MIT"
] | null | null | null | 0-python-tutorial/15-whileLoops01.py | luis2ra/py3-00-w3schools | 6bb851837f8ef9520491d13fa2c909047c9b18cf | [
"MIT"
] | null | null | null | 0-python-tutorial/15-whileLoops01.py | luis2ra/py3-00-w3schools | 6bb851837f8ef9520491d13fa2c909047c9b18cf | [
"MIT"
] | null | null | null | # Demo Python While Loops - The while Loop
'''
Python Loops
Python has two primitive loop commands:
* while loops
* for loops
The while Loop
With the while loop we can execute a set of statements as long as a condition is true.
The break Statement
With the break statement we can stop the loop even if the while co... | 24.233333 | 93 | 0.742779 | i = 1
while i < 6:
print(i)
i += 1 | true | true |
1c2e9b907048749d4a615844f89a74dedb32a1ae | 2,412 | py | Python | autoimpute/analysis/metrics.py | gjdv/autoimpute | aa418102d3b64fc7e0c0dafa6839746f0b9a6545 | [
"MIT"
] | 191 | 2019-03-16T17:00:33.000Z | 2022-03-11T12:14:17.000Z | autoimpute/analysis/metrics.py | MlataIbrahim/autoimpute | d22cd86db6facd4a68746c8c0fcb3fae70071dac | [
"MIT"
] | 57 | 2019-03-09T23:59:38.000Z | 2022-03-01T08:17:33.000Z | autoimpute/analysis/metrics.py | MlataIbrahim/autoimpute | d22cd86db6facd4a68746c8c0fcb3fae70071dac | [
"MIT"
] | 19 | 2019-04-13T19:01:23.000Z | 2021-05-14T08:59:27.000Z | """This module devises metrics to compare estimates from analysis models."""
import numpy as np
import pandas as pd
def raw_bias(Q_bar, Q):
"""Calculate raw bias between coefficients Q and actual Q.
Q_bar can be one estimate (scalar) or a vector of estimates. This equation
subtracts the expected Q_bar fr... | 30.531646 | 78 | 0.65796 |
import numpy as np
import pandas as pd
def raw_bias(Q_bar, Q):
shape_err = "Q_bar & Q must be scalars or vectors of same length."
if isinstance(Q_bar, pd.DataFrame):
s = len(Q_bar.shape)
if s != 1:
raise ValueError(shape_err)
if isinstance(Q, pd.DataFrame):
s = le... | true | true |
1c2e9bcf8eeceddc793d357ac20131bc4c084d2d | 2,020 | py | Python | download_and_clean_data_scripts/pixabay/pixabay_main_custom.py | NMag-ze/Colorization | 1c91fb69d3505de6cd746dab3ddc15a704aa028a | [
"MIT"
] | null | null | null | download_and_clean_data_scripts/pixabay/pixabay_main_custom.py | NMag-ze/Colorization | 1c91fb69d3505de6cd746dab3ddc15a704aa028a | [
"MIT"
] | null | null | null | download_and_clean_data_scripts/pixabay/pixabay_main_custom.py | NMag-ze/Colorization | 1c91fb69d3505de6cd746dab3ddc15a704aa028a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @Time : 2018/8/16 10:59
# @Author : 陈子昂
import os
import requests
from bs4 import BeautifulSoup
from tqdm import tqdm
import sys
from utils import save_img, path_processor, img_name_processor
def pexels(keyword):
img_cnt = 0
if not keyword: sys.exit('程序退出：未输入关键字！')
for page i... | 42.978723 | 588 | 0.587624 | import os
import requests
from bs4 import BeautifulSoup
from tqdm import tqdm
import sys
from utils import save_img, path_processor, img_name_processor
def pexels(keyword):
img_cnt = 0
if not keyword: sys.exit('程序退出：未输入关键字！')
for page in tqdm(range(1, 50)):
print(f'\n-----[{keyword}]正在爬取第{page}页--... | true | true |
1c2e9bd62250529bf5b8c71a6f78cdc41dea29c9 | 1,568 | py | Python | stats_scripts/data_management/validate_consistancy.py | LilithHafner/SymbulationEmp | fb53c7fbefa03f6d901cdd49bdb823a637449bba | [
"MIT"
] | null | null | null | stats_scripts/data_management/validate_consistancy.py | LilithHafner/SymbulationEmp | fb53c7fbefa03f6d901cdd49bdb823a637449bba | [
"MIT"
] | null | null | null | stats_scripts/data_management/validate_consistancy.py | LilithHafner/SymbulationEmp | fb53c7fbefa03f6d901cdd49bdb823a637449bba | [
"MIT"
] | null | null | null | lines = open('collated_data.data').readlines()
header = [x.strip('"') for x in lines[0].split()]
independent_variables = 'HRR', 'HRR', 'SLR', 'BS', 'BT', 'SL', 'SYN', 'POP', 'UPS', 'T'
dependant_variables = 'host_count', 'sym_count', 'survival', 'moi'
omit = ('file_name',)
versions = '"Standard-1.1"', '"Duplicate-1.1... | 35.636364 | 100 | 0.58801 | lines = open('collated_data.data').readlines()
header = [x.strip('"') for x in lines[0].split()]
independent_variables = 'HRR', 'HRR', 'SLR', 'BS', 'BT', 'SL', 'SYN', 'POP', 'UPS', 'T'
dependant_variables = 'host_count', 'sym_count', 'survival', 'moi'
omit = ('file_name',)
versions = '"Standard-1.1"', '"Duplicate-1.1... | true | true |
1c2e9ca1193e20f92c9e20e10de63accebbd6262 | 1,642 | py | Python | laikaboss/modules/meta_iqy.py | sandialabs/laikaboss | 3064ac1176911651d61c5176e9bd83eacec36b16 | [
"Apache-2.0"
] | 2 | 2019-11-02T23:40:23.000Z | 2019-12-01T22:24:57.000Z | laikaboss/modules/meta_iqy.py | sandialabs/laikaboss | 3064ac1176911651d61c5176e9bd83eacec36b16 | [
"Apache-2.0"
] | null | null | null | laikaboss/modules/meta_iqy.py | sandialabs/laikaboss | 3064ac1176911651d61c5176e9bd83eacec36b16 | [
"Apache-2.0"
] | 3 | 2017-08-09T23:58:40.000Z | 2019-12-01T22:25:06.000Z | # Copyright 2020 National Technology & Engineering Solutions of Sandia, LLC
# (NTESS). Under the terms of Contract DE-NA0003525 with NTESS, the U.S.
# Government retains certain rights in this software.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in complianc... | 35.695652 | 76 | 0.696711 |
from laikaboss.si_module import SI_MODULE
class META_IQY(SI_MODULE):
def __init__(self):
self.module_name = "META_IQY"
def _run(self, scanObject, result, depth, args):
s = scanObject.buffer
index_one = s.index(b"1") newline = b'\n'
url = s[index_one+1:s.index(newlin... | true | true |
1c2e9cc4b9a651b57cc3b5e361842704cab3a988 | 11,924 | py | Python | docs/doxygen/swig_doc.py | hb9fxq/gr-aaronia_rtsa | ac66cc0630668b70fddc393735e6034ccd1cf40a | [
"MIT"
] | null | null | null | docs/doxygen/swig_doc.py | hb9fxq/gr-aaronia_rtsa | ac66cc0630668b70fddc393735e6034ccd1cf40a | [
"MIT"
] | null | null | null | docs/doxygen/swig_doc.py | hb9fxq/gr-aaronia_rtsa | ac66cc0630668b70fddc393735e6034ccd1cf40a | [
"MIT"
] | null | null | null | #
# Copyright 2010-2012 Free Software Foundation, Inc.
#
# This file was generated by gr_modtool, a tool from the GNU Radio framework
# This file is a part of gr-aaronia_rtsa
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# th... | 35.807808 | 102 | 0.666555 | from __future__ import unicode_literals
import sys, time
from doxyxml import DoxyIndex, DoxyClass, DoxyFriend, DoxyFunction, DoxyFile
from doxyxml import DoxyOther, base
def py_name(name):
bits = name.split('_')
return '_'.join(bits[1:])
def make_name(name):
bits = name.split('_')
return bits[0] + '... | true | true |
1c2e9da8b1410e0876c772e4e9d83e5a0a64b024 | 436 | py | Python | src/dendrograms/dendrogram.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | src/dendrograms/dendrogram.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | src/dendrograms/dendrogram.py | Ellon-M/visualizations | 5a42c213ea8fd0597e2035778d9ae6460eb9e821 | [
"MIT"
] | null | null | null | # dendrogram
import scipy.cluster.hierarchy as shc
# Import Data
df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/USArrests.csv')
# Plot
plt.figure(figsize=(16, 10), dpi= 80)
plt.title("USArrests Dendograms", fontsize=22)
dend = shc.dendrogram(shc.linkage(df[['Murder', 'Assault', 'Urb... | 29.066667 | 143 | 0.729358 |
import scipy.cluster.hierarchy as shc
df = pd.read_csv('https://raw.githubusercontent.com/selva86/datasets/master/USArrests.csv')
plt.figure(figsize=(16, 10), dpi= 80)
plt.title("USArrests Dendograms", fontsize=22)
dend = shc.dendrogram(shc.linkage(df[['Murder', 'Assault', 'UrbanPop', 'Rape']], method='ward'), ... | true | true |
1c2e9f75bc7f7bb8f373ef0d4b1ceb3207725ff7 | 1,967 | py | Python | .history/main_20171106224753.py | reecebenson/DADSA-Tennis-PartA | d0763f819b300fcd0ce27041f5bc4ef0519c00bf | [
"MIT"
] | null | null | null | .history/main_20171106224753.py | reecebenson/DADSA-Tennis-PartA | d0763f819b300fcd0ce27041f5bc4ef0519c00bf | [
"MIT"
] | null | null | null | .history/main_20171106224753.py | reecebenson/DADSA-Tennis-PartA | d0763f819b300fcd0ce27041f5bc4ef0519c00bf | [
"MIT"
] | null | null | null | # DADSA - Assignment 1
# Reece Benson
from classes import Menu as Menu
from classes import Handler as Handler
class App():
# Define the variables we will be using
debug = True
handler = None
# Define all of the properties we will need to use
def __init__(self):
# Load our handler
... | 31.725806 | 83 | 0.543467 |
from classes import Menu as Menu
from classes import Handler as Handler
class App():
debug = True
handler = None
def __init__(self):
self.handler = Handler.Handler(self)
self.handler.load()
self.generate_rounds()
self.exit()
def g... | true | true |
1c2e9fe71d358bad524ca7f4ba082ca2127b186a | 2,471 | py | Python | lib/reda/importers/geotom.py | j-gallistl/reda | 13b1f9e1cda92bbbbafc5c28be2c691d3b722740 | [
"MIT"
] | 12 | 2017-12-11T08:32:46.000Z | 2021-06-09T05:41:57.000Z | lib/reda/importers/geotom.py | j-gallistl/reda | 13b1f9e1cda92bbbbafc5c28be2c691d3b722740 | [
"MIT"
] | 58 | 2017-11-12T11:10:42.000Z | 2021-06-11T13:52:44.000Z | lib/reda/importers/geotom.py | geophysics-ubonn/REDA | 8f0399031121f5a937171231a25f9ab03a3c8873 | [
"MIT"
] | 11 | 2017-11-12T12:02:35.000Z | 2021-02-16T06:54:04.000Z | # -*- coding: utf-8 -*-
from io import StringIO
import pandas as pd
import numpy as np
from reda.containers.ERT import ERT
from reda.importers.utils.decorators import enable_result_transforms
@enable_result_transforms
def _parse_wenner_file(filename, settings):
"""Parse a Geotom .wen (Wenner configuration) file... | 22.463636 | 79 | 0.541076 | from io import StringIO
import pandas as pd
import numpy as np
from reda.containers.ERT import ERT
from reda.importers.utils.decorators import enable_result_transforms
@enable_result_transforms
def _parse_wenner_file(filename, settings):
with open(filename, 'r') as fid2:
geotom_data_orig = fid2.read... | true | true |
1c2ea03e03b381cfed1b2a2fb9de2e155e4a83d4 | 3,527 | py | Python | tests/test_unicode_strings.py | alekseyl1992/pyrobuf | dc553f2c407d3ea1ca78c6b58e149d05ff811a23 | [
"Apache-2.0"
] | 578 | 2015-12-17T20:39:31.000Z | 2022-02-15T05:14:03.000Z | tests/test_unicode_strings.py | alekseyl1992/pyrobuf | dc553f2c407d3ea1ca78c6b58e149d05ff811a23 | [
"Apache-2.0"
] | 121 | 2015-12-19T07:37:32.000Z | 2022-02-22T05:22:55.000Z | tests/test_unicode_strings.py | alekseyl1992/pyrobuf | dc553f2c407d3ea1ca78c6b58e149d05ff811a23 | [
"Apache-2.0"
] | 82 | 2015-12-19T00:19:28.000Z | 2022-02-21T09:00:21.000Z | import unittest
Test = None
TestSs1 = None
# Alpha, Beta, Gamma, Delta
GREEK_LETTERS = u"\u0391\u0392\u0393\u0394"
class TestUnicodeStrings(unittest.TestCase):
@classmethod
def setUpClass(cls):
global Test, TestSs1, TestFieldTypes
from test_message_proto import Test, TestSs1
def test_un... | 43.012195 | 108 | 0.686703 | import unittest
Test = None
TestSs1 = None
GREEK_LETTERS = u"\u0391\u0392\u0393\u0394"
class TestUnicodeStrings(unittest.TestCase):
@classmethod
def setUpClass(cls):
global Test, TestSs1, TestFieldTypes
from test_message_proto import Test, TestSs1
def test_unicode_string_parse_from_stri... | true | true |
1c2ea062620b72b16560fe0603e880b6ea79c7f0 | 271 | py | Python | buoi7/bai12.py | Viet7501/viet1 | e0be1da1fb0f4736c8d0457733ccaaed9232c4e9 | [
"Apache-2.0"
] | null | null | null | buoi7/bai12.py | Viet7501/viet1 | e0be1da1fb0f4736c8d0457733ccaaed9232c4e9 | [
"Apache-2.0"
] | null | null | null | buoi7/bai12.py | Viet7501/viet1 | e0be1da1fb0f4736c8d0457733ccaaed9232c4e9 | [
"Apache-2.0"
] | null | null | null | set1 = {0, 1, 2, 3, 4, 5, 6}
set2 = {5, 6, 7, 8, 9, 0, 1}
# set1.difference_update(set2)
# set1.intersection_update(set2)
print(set1.issubset(set2))
print(set1.isdisjoint(set2))
print(set1.issuperset(set2))
set1.symmetric_difference_update(set2)
print(set1)
| 22.583333 | 39 | 0.682657 | set1 = {0, 1, 2, 3, 4, 5, 6}
set2 = {5, 6, 7, 8, 9, 0, 1}
print(set1.issubset(set2))
print(set1.isdisjoint(set2))
print(set1.issuperset(set2))
set1.symmetric_difference_update(set2)
print(set1)
| true | true |
1c2ea0d7071e64a32dcaa6aa1f4226fc529ca0a6 | 9,426 | py | Python | saleor/payment/gateway.py | facundon/Cholitas-Backend | 4d73e0697a6b6fc61b82b72ff1c99b2eabe8f4c6 | [
"CC-BY-4.0"
] | null | null | null | saleor/payment/gateway.py | facundon/Cholitas-Backend | 4d73e0697a6b6fc61b82b72ff1c99b2eabe8f4c6 | [
"CC-BY-4.0"
] | null | null | null | saleor/payment/gateway.py | facundon/Cholitas-Backend | 4d73e0697a6b6fc61b82b72ff1c99b2eabe8f4c6 | [
"CC-BY-4.0"
] | null | null | null | import logging
from decimal import Decimal
from typing import TYPE_CHECKING, Callable, List, Optional
from django.db import transaction
from ..payment.interface import TokenConfig
from ..plugins.manager import get_plugins_manager
from . import GatewayError, PaymentError, TransactionKind
from .models import Payment, T... | 32.729167 | 87 | 0.736474 | import logging
from decimal import Decimal
from typing import TYPE_CHECKING, Callable, List, Optional
from django.db import transaction
from ..payment.interface import TokenConfig
from ..plugins.manager import get_plugins_manager
from . import GatewayError, PaymentError, TransactionKind
from .models import Payment, T... | true | true |
1c2ea26a0e074c408ad814c5bbffa80acfedad47 | 1,230 | py | Python | tests/unit/objects/test_list_objects.py | dlite-tools/aws-s3-tools | f434ed36c1fc0530f2be6b52808cbc5e59ea8990 | [
"MIT"
] | 6 | 2021-02-18T10:03:17.000Z | 2022-01-14T06:11:54.000Z | tests/unit/objects/test_list.py | FerrariDG/aws-s3-tools | 0ddbb35cebc858bae1a0627aa8726e063a3ef5cd | [
"MIT"
] | 4 | 2021-04-20T18:20:32.000Z | 2022-02-04T08:32:39.000Z | tests/unit/objects/test_list_objects.py | dlite-tools/aws-s3-tools | f434ed36c1fc0530f2be6b52808cbc5e59ea8990 | [
"MIT"
] | 2 | 2021-03-04T00:25:51.000Z | 2021-05-10T13:20:42.000Z | """Unit tests for list.py"""
from botocore.exceptions import ClientError
from s3_tools import list_objects
from tests.unit.conftest import (
create_bucket,
BUCKET_NAME,
FILENAME
)
class TestList:
def test_list_nonexisting_bucket(self, s3_client):
try:
list_objects(BUCKET_NAME)
... | 27.333333 | 69 | 0.647154 | from botocore.exceptions import ClientError
from s3_tools import list_objects
from tests.unit.conftest import (
create_bucket,
BUCKET_NAME,
FILENAME
)
class TestList:
def test_list_nonexisting_bucket(self, s3_client):
try:
list_objects(BUCKET_NAME)
except ClientError as ... | true | true |
1c2ea307dfc71029b6d922a7886d6cfe21a1e7e4 | 5,215 | py | Python | tests/common/test_run/ascend/matmul_addn_transdata_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 286 | 2020-06-23T06:40:44.000Z | 2022-03-30T01:27:49.000Z | tests/common/test_run/ascend/matmul_addn_transdata_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 10 | 2020-07-31T03:26:59.000Z | 2021-12-27T15:00:54.000Z | tests/common/test_run/ascend/matmul_addn_transdata_run.py | tianjiashuo/akg | a9cbf642063fb1086a93e8bc6be6feb145689817 | [
"Apache-2.0"
] | 30 | 2020-07-17T01:04:14.000Z | 2021-12-27T14:05:19.000Z | # Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 48.287037 | 185 | 0.671333 |
import akg.tvm
import numpy as np
from akg.utils import kernel_exec as utils
from akg.ops.math.ascend import MatMul
from tests.common.test_run.ascend.matmul_run import *
from akg.ops.math import Addn
from akg.ops.math import Add
def matmul_addn_transdata(x, y, adds, b, out_dtype, left_format="zZ", right_format="nZ", ... | true | true |
1c2ea46aad078a13c077e1ce5e6d9d9417d6e2d3 | 815 | py | Python | gan/PyTorch-GAN-Mnist/test.py | hadleyhzy34/GANs-practice | 37d1dcf4e4b492e6d070b0ba72f320913af9b17a | [
"MIT"
] | null | null | null | gan/PyTorch-GAN-Mnist/test.py | hadleyhzy34/GANs-practice | 37d1dcf4e4b492e6d070b0ba72f320913af9b17a | [
"MIT"
] | null | null | null | gan/PyTorch-GAN-Mnist/test.py | hadleyhzy34/GANs-practice | 37d1dcf4e4b492e6d070b0ba72f320913af9b17a | [
"MIT"
] | null | null | null | import torch
from torchvision import transforms
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
plt.rcParams['figure.figsize'] = (10.0, 8.0)
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams['image.cmap'] = 'gray'
def show_images(images):
sqrtn = int(np.ceil... | 21.447368 | 57 | 0.70184 | import torch
from torchvision import transforms
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
plt.rcParams['figure.figsize'] = (10.0, 8.0)
plt.rcParams['image.interpolation'] = 'nearest'
plt.rcParams['image.cmap'] = 'gray'
def show_images(images):
sqrtn = int(np.ceil... | true | true |
1c2ea46c2dbae491088472dec33c9b4319f71f78 | 8,389 | py | Python | src/m2_functions.py | ElliotBoutell/ObjectsFunctionsAndMethods | 2f022fc7dbca5a5ad3b90cdb280e59b1ef28dd93 | [
"MIT"
] | null | null | null | src/m2_functions.py | ElliotBoutell/ObjectsFunctionsAndMethods | 2f022fc7dbca5a5ad3b90cdb280e59b1ef28dd93 | [
"MIT"
] | null | null | null | src/m2_functions.py | ElliotBoutell/ObjectsFunctionsAndMethods | 2f022fc7dbca5a5ad3b90cdb280e59b1ef28dd93 | [
"MIT"
] | null | null | null | """
Practice DEFINING and CALLING
FUNCTIONS
Authors: David Mutchler, Dave Fisher, Valerie Galluzzi, Amanda Stouder,
their colleagues and Elliot Boutell.
"""
########################################################################
#
# Done: 1. PUT YOUR NAME IN THE ABOVE LINE and...
#
# Allow this file ... | 34.101626 | 93 | 0.561092 |
########################################################################
import rosegraphics as rg
import random
def main():
# A TurtleWindow works "behind the scenes" to enable Turtle movement
window = rg.TurtleWindow()
turtle1()
turtle4()
turtle5()
turtle3()
turtle2()
turtle2()
... | true | true |
1c2ea51069614377d2b53c72c7b82fa4c473af18 | 3,559 | py | Python | anuvaad-etl/anuvaad-extractor/aligner/etl-aligner/kafkawrapper/alignmentwflowconsumer.py | ManavTriesStuff/anuvaad | 6993e3ac78818c171c173ccf8acf962ff57856a4 | [
"MIT"
] | 15 | 2021-01-08T08:42:30.000Z | 2022-03-12T17:52:15.000Z | anuvaad-etl/anuvaad-extractor/aligner/etl-aligner/kafkawrapper/alignmentwflowconsumer.py | ManavTriesStuff/anuvaad | 6993e3ac78818c171c173ccf8acf962ff57856a4 | [
"MIT"
] | 16 | 2021-01-21T01:38:51.000Z | 2022-01-20T08:59:52.000Z | anuvaad-etl/anuvaad-extractor/aligner/etl-aligner/kafkawrapper/alignmentwflowconsumer.py | ManavTriesStuff/anuvaad | 6993e3ac78818c171c173ccf8acf962ff57856a4 | [
"MIT"
] | 25 | 2020-08-26T11:25:38.000Z | 2022-03-29T04:40:21.000Z | import json
import logging
import random
import string
import threading
from kafka import KafkaConsumer, TopicPartition
from service.alignmentservice import AlignmentService
from utilities.alignmentutils import AlignmentUtils
from logging.config import dictConfig
from configs.alignerconfig import kafka_bootstrap_serve... | 35.237624 | 125 | 0.540882 | import json
import logging
import random
import string
import threading
from kafka import KafkaConsumer, TopicPartition
from service.alignmentservice import AlignmentService
from utilities.alignmentutils import AlignmentUtils
from logging.config import dictConfig
from configs.alignerconfig import kafka_bootstrap_serve... | true | true |
1c2ea52c32488d1ead6f2d2517e097d076dc1c24 | 13,804 | py | Python | circuit.py | Diimu/circuitsimulator | 3a4aeaaa89b5e9bba1598736140e32b3ca1e0da4 | [
"MIT"
] | null | null | null | circuit.py | Diimu/circuitsimulator | 3a4aeaaa89b5e9bba1598736140e32b3ca1e0da4 | [
"MIT"
] | 3 | 2019-09-08T18:34:27.000Z | 2019-09-08T21:51:18.000Z | circuit.py | Diimu/circuitsimulator | 3a4aeaaa89b5e9bba1598736140e32b3ca1e0da4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Class "Circuit" defines simple one port object/circuit having
frequency (single point or array), impedance, and possibly a list
of components that constitute the circuit.
"""
import numpy as np
import scipy
import matplotlib.pyplot as plt
import skrf
class Circuit:
def __init__(s... | 41.083333 | 262 | 0.562808 |
import numpy as np
import scipy
import matplotlib.pyplot as plt
import skrf
class Circuit:
def __init__(self, f, Z, Z0=50, draw_smith=True):
self.Z = Z
self.f = f
self.Z0 = Z0
self.draw_smith=draw_smith
self.components = [('start', Z)]
if np.size(sel... | true | true |
1c2ea563c1498911db332ccc6f834146e3a96988 | 105,906 | py | Python | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_04_01/aio/operations/_network_watchers_operations.py | praveenkuttappan/azure-sdk-for-python | 4b79413667b7539750a6c7dde15737013a3d4bd5 | [
"MIT"
] | 2,728 | 2015-01-09T10:19:32.000Z | 2022-03-31T14:50:33.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_04_01/aio/operations/_network_watchers_operations.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 17,773 | 2015-01-05T15:57:17.000Z | 2022-03-31T23:50:25.000Z | sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_04_01/aio/operations/_network_watchers_operations.py | v-xuto/azure-sdk-for-python | 9c6296d22094c5ede410bc83749e8df8694ccacc | [
"MIT"
] | 1,916 | 2015-01-19T05:05:41.000Z | 2022-03-31T19:36:44.000Z | # 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 ... | 53.541962 | 250 | 0.686288 | from typing import Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar, Union
import warnings
from azure.core.async_paging import AsyncItemPaged, AsyncList
from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error
from azure.core.pi... | true | true |
1c2ea56f126d1754020d9b2394105da6f3ce0700 | 7,580 | py | Python | sleepy/http.py | HitSyr/Sleepy | 70ec9479fb947a624e3c658ea39c886c30bf794d | [
"MIT"
] | 4 | 2021-12-08T21:38:14.000Z | 2022-01-30T04:16:38.000Z | sleepy/http.py | HitSyr/Sleepy | 70ec9479fb947a624e3c658ea39c886c30bf794d | [
"MIT"
] | 2 | 2021-09-29T13:33:26.000Z | 2021-12-12T12:52:16.000Z | sleepy/http.py | HitSyr/Sleepy | 70ec9479fb947a624e3c658ea39c886c30bf794d | [
"MIT"
] | null | null | null | """
Copyright (c) 2018-present HitchedSyringe
This Source Code Form is subject to the terms of the Mozilla Public
License, v. 2.0. If a copy of the MPL was not distributed with this
file, You can obtain one at https://mozilla.org/MPL/2.0/.
"""
from __future__ import annotations
__all__ = (
"HTTPRequester",
... | 29.84252 | 94 | 0.596042 |
from __future__ import annotations
__all__ = (
"HTTPRequester",
"HTTPRequestFailed",
)
import asyncio
import logging
from collections.abc import MutableMapping
from typing import TYPE_CHECKING, Any, Dict, Optional, Tuple, Union
import aiohttp
from discord.ext import commands
_LOG = logging.getLogger(__... | true | true |
1c2ea76b9cf021143d713f6a07b53b3b5319c5e6 | 3,425 | py | Python | server.py | umran23/2_Threaded_server | eed32916ae645419c9634f7f6f4994300fe3feef | [
"Apache-2.0"
] | null | null | null | server.py | umran23/2_Threaded_server | eed32916ae645419c9634f7f6f4994300fe3feef | [
"Apache-2.0"
] | null | null | null | server.py | umran23/2_Threaded_server | eed32916ae645419c9634f7f6f4994300fe3feef | [
"Apache-2.0"
] | null | null | null | import socket
from threading import Thread
class Server:
addr = ''
port = 3030
connections = 4
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.logging('Socket has created')
self.... | 29.525862 | 76 | 0.52 | import socket
from threading import Thread
class Server:
addr = ''
port = 3030
connections = 4
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
self.logging('Socket has created')
self.... | true | true |
1c2ea7d11faf357ec52b98e2b099ef65b110baa3 | 4,548 | py | Python | temboo/core/Library/Twitter/Trends/Available.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 7 | 2016-03-07T02:07:21.000Z | 2022-01-21T02:22:41.000Z | temboo/core/Library/Twitter/Trends/Available.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | null | null | null | temboo/core/Library/Twitter/Trends/Available.py | jordanemedlock/psychtruths | 52e09033ade9608bd5143129f8a1bfac22d634dd | [
"Apache-2.0"
] | 8 | 2016-06-14T06:01:11.000Z | 2020-04-22T09:21:44.000Z | # -*- coding: utf-8 -*-
###############################################################################
#
# Available
# Retrieves the locations that Twitter has trending topic information for.
#
# Python versions 2.6, 2.7, 3.x
#
# Copyright 2014, Temboo Inc.
#
# Licensed under the Apache License, Version 2.0 (the "Lic... | 40.247788 | 173 | 0.677661 |
from temboo.core.choreography import Choreography
from temboo.core.choreography import InputSet
from temboo.core.choreography import ResultSet
from temboo.core.choreography import ChoreographyExecution
import json
class Available(Choreography):
def __init__(self, temboo_session):
super(Available, self)... | true | true |
1c2ea7fb4024eb02de28a8b3543f21c6f2b00b6c | 67 | py | Python | tuiuiu/tuiuiutenant/__init__.py | caputomarcos/tuiuiu.io | d8fb57cf95487e7fe1454b2130ef18acc916da46 | [
"BSD-3-Clause"
] | 3 | 2019-08-08T09:09:35.000Z | 2020-12-15T18:04:17.000Z | tuiuiu/tuiuiutenant/__init__.py | caputomarcos/tuiuiu.io | d8fb57cf95487e7fe1454b2130ef18acc916da46 | [
"BSD-3-Clause"
] | null | null | null | tuiuiu/tuiuiutenant/__init__.py | caputomarcos/tuiuiu.io | d8fb57cf95487e7fe1454b2130ef18acc916da46 | [
"BSD-3-Clause"
] | 1 | 2017-09-09T20:10:40.000Z | 2017-09-09T20:10:40.000Z | default_app_config = 'tuiuiu.tuiuiutenant.apps.TuiuiuTenantConfig'
| 33.5 | 66 | 0.865672 | default_app_config = 'tuiuiu.tuiuiutenant.apps.TuiuiuTenantConfig'
| true | true |
1c2ea8d8d7ef40216683485021e310b67b3e922f | 1,963 | py | Python | genanki/deck.py | jahzielv/genanki | 6d173fcd8a50b29164d733fce750276bc9a9f39d | [
"MIT"
] | null | null | null | genanki/deck.py | jahzielv/genanki | 6d173fcd8a50b29164d733fce750276bc9a9f39d | [
"MIT"
] | null | null | null | genanki/deck.py | jahzielv/genanki | 6d173fcd8a50b29164d733fce750276bc9a9f39d | [
"MIT"
] | null | null | null | import json
from .apkg_col import APKG_COL
class Deck:
def __init__(self, deck_id=None, name=None):
self.deck_id = deck_id
self.name = name
self.notes = []
self.models = {} # map of model id to model
def add_note(self, note):
self.notes.append(note)
def add_model(self, model):
self.mo... | 32.716667 | 118 | 0.691798 | import json
from .apkg_col import APKG_COL
class Deck:
def __init__(self, deck_id=None, name=None):
self.deck_id = deck_id
self.name = name
self.notes = []
self.models = {}
def add_note(self, note):
self.notes.append(note)
def add_model(self, model):
self.models[model.model_id] = mode... | true | true |
1c2ea92a4a85689ac010f07469d5822e50872e06 | 9,408 | py | Python | nssrc/com/citrix/netscaler/nitro/resource/config/aaa/aaauser_authorizationpolicy_binding.py | guardicore/nitro-python | 5346a5086134aead80968f15a41ff527adaa0ec1 | [
"Apache-2.0"
] | null | null | null | nssrc/com/citrix/netscaler/nitro/resource/config/aaa/aaauser_authorizationpolicy_binding.py | guardicore/nitro-python | 5346a5086134aead80968f15a41ff527adaa0ec1 | [
"Apache-2.0"
] | null | null | null | nssrc/com/citrix/netscaler/nitro/resource/config/aaa/aaauser_authorizationpolicy_binding.py | guardicore/nitro-python | 5346a5086134aead80968f15a41ff527adaa0ec1 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2021 Citrix 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... | 32 | 322 | 0.737883 |
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_resource
from nssrc.com.citrix.netscaler.nitro.resource.base.base_resource import base_response
from nssrc.com.citrix.netscaler.nitro.service.options import options
from nssrc.com.citrix.netscaler.nitro.exception.nitro_exception import nitro... | true | true |
1c2ea92c956ad3a9d2609c38a046d8ef976c4efa | 4,139 | py | Python | benchmark/startQiskit_noisy954.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_noisy954.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | benchmark/startQiskit_noisy954.py | UCLA-SEAL/QDiff | d968cbc47fe926b7f88b4adf10490f1edd6f8819 | [
"BSD-3-Clause"
] | null | null | null | # qubit number=5
# total number=45
import cirq
import qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.test.mock import FakeVigo
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import ... | 30.88806 | 82 | 0.60691 | import cirq
import qiskit
from qiskit.providers.aer import QasmSimulator
from qiskit.test.mock import FakeVigo
from qiskit import QuantumCircuit, QuantumRegister, ClassicalRegister
from qiskit import BasicAer, execute, transpile
from pprint import pprint
from qiskit.test.mock import FakeVigo
from math import log2,floo... | true | true |
1c2ea9c9fc370bfa92466b9a39561738eb589c91 | 1,175 | py | Python | calories_screen.py | RossinesP/pygamer_bike_game | 2b852126f1d04d6fc5e1053a3217862d86c7856d | [
"MIT"
] | null | null | null | calories_screen.py | RossinesP/pygamer_bike_game | 2b852126f1d04d6fc5e1053a3217862d86c7856d | [
"MIT"
] | null | null | null | calories_screen.py | RossinesP/pygamer_bike_game | 2b852126f1d04d6fc5e1053a3217862d86c7856d | [
"MIT"
] | null | null | null | from screen import Screen
from tracker import Tracker
from adafruit_display_text import label
import neopixel
import terminalio
class CaloriesScreen(Screen):
def __init__(self, screen_manager, pixels: neopixel.NeoPixel, tracker: Tracker):
super().__init__(screen_manager, pixels, tracker)
font = t... | 33.571429 | 84 | 0.670638 | from screen import Screen
from tracker import Tracker
from adafruit_display_text import label
import neopixel
import terminalio
class CaloriesScreen(Screen):
def __init__(self, screen_manager, pixels: neopixel.NeoPixel, tracker: Tracker):
super().__init__(screen_manager, pixels, tracker)
font = t... | true | true |
1c2eaa0ab91564a8c0e4fbb3f53ce5a5e680221a | 10,973 | py | Python | deeppavlov/tasks/insults/build.py | deepmipt/kpi2017 | 0f6b13c6ea76e544804ce66ba372c66d5ef9ee30 | [
"Apache-2.0"
] | 3 | 2018-02-19T15:34:44.000Z | 2018-06-05T10:02:00.000Z | deeppavlov/tasks/insults/build.py | deepmipt/kpi2017 | 0f6b13c6ea76e544804ce66ba372c66d5ef9ee30 | [
"Apache-2.0"
] | null | null | null | deeppavlov/tasks/insults/build.py | deepmipt/kpi2017 | 0f6b13c6ea76e544804ce66ba372c66d5ef9ee30 | [
"Apache-2.0"
] | 1 | 2021-03-22T09:06:52.000Z | 2021-03-22T09:06:52.000Z | # Copyright 2017 Neural Networks and Deep Learning lab, MIPT
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicab... | 38.773852 | 124 | 0.564385 |
import parlai.core.build_data as build_data
import os
import re
import string
import numpy as np
import pandas as pd
import urllib
def data_preprocessing(f):
f = [x.lower() for x in f]
f = [re.sub(r'^"|"$', '', x) for x in f]
f = [x.replace("\\n", " ") for x in f]
f = [x.replace("\\t", " ") for x in... | true | true |
1c2eab47e8c5b4f21800af9cd5ed1e8c95cb0209 | 4,176 | py | Python | src/compas_assembly/datastructures/block.py | BlockResearchGroup/compas_assembly | 6a257e1afaf304f9ddad02baed2396e5bacf91f8 | [
"MIT"
] | 8 | 2019-01-30T18:08:07.000Z | 2021-06-25T09:35:01.000Z | src/compas_assembly/datastructures/block.py | BlockResearchGroup/compas_assembly | 6a257e1afaf304f9ddad02baed2396e5bacf91f8 | [
"MIT"
] | 6 | 2019-07-17T11:29:45.000Z | 2020-03-20T13:32:38.000Z | src/compas_assembly/datastructures/block.py | BlockResearchGroup/compas_assembly | 6a257e1afaf304f9ddad02baed2396e5bacf91f8 | [
"MIT"
] | 18 | 2019-01-29T09:02:40.000Z | 2021-12-09T09:52:25.000Z | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from compas.geometry import centroid_points
from compas.geometry import cross_vectors
from compas.geometry import dot_vectors
from compas.geometry import normalize_vector
from compas.geometry import centroid_po... | 28.216216 | 89 | 0.588362 | from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
from compas.geometry import centroid_points
from compas.geometry import cross_vectors
from compas.geometry import dot_vectors
from compas.geometry import normalize_vector
from compas.geometry import centroid_po... | true | true |
1c2eabd376142cf807c1e8d6a65fe520113a747a | 2,247 | py | Python | rbapi/apps/api/models.py | Yariquezz/check_gov_ua | 89d9a4d66ad5a675f64c8172de9d343b1024b102 | [
"Apache-2.0"
] | null | null | null | rbapi/apps/api/models.py | Yariquezz/check_gov_ua | 89d9a4d66ad5a675f64c8172de9d343b1024b102 | [
"Apache-2.0"
] | 9 | 2020-04-04T12:38:15.000Z | 2021-10-02T09:56:42.000Z | rbapi/apps/api/models.py | Yariquezz/check_gov_ua | 89d9a4d66ad5a675f64c8172de9d343b1024b102 | [
"Apache-2.0"
] | null | null | null | from django.db import models
import uuid
def get_default_uuid():
return uuid.uuid4().hex
class BankInfo(models.Model):
tax_code = models.IntegerField(primary_key=True)
bank_name = models.CharField(max_length=200, default=None, null=True)
support_number_1 = models.CharField(max_length=13, default=Non... | 34.569231 | 87 | 0.683133 | from django.db import models
import uuid
def get_default_uuid():
return uuid.uuid4().hex
class BankInfo(models.Model):
tax_code = models.IntegerField(primary_key=True)
bank_name = models.CharField(max_length=200, default=None, null=True)
support_number_1 = models.CharField(max_length=13, default=Non... | true | true |
1c2eabda09f4342028ede80cfd64ae89c9792eb2 | 2,844 | py | Python | apps/backend/users/views.py | 12roshan12/Hotel-website | 81c9ca74ea1f080c7fffb7cc350a39ccb2f2596f | [
"MIT"
] | null | null | null | apps/backend/users/views.py | 12roshan12/Hotel-website | 81c9ca74ea1f080c7fffb7cc350a39ccb2f2596f | [
"MIT"
] | null | null | null | apps/backend/users/views.py | 12roshan12/Hotel-website | 81c9ca74ea1f080c7fffb7cc350a39ccb2f2596f | [
"MIT"
] | null | null | null | from django.urls import reverse
from django.shortcuts import render, redirect, HttpResponseRedirect
from django.contrib.messages.views import SuccessMessageMixin
from django.utils.translation import templatize
from django.views.generic import CreateView, ListView, DeleteView, UpdateView
from .forms import EnquiryForm, ... | 32.689655 | 78 | 0.716245 | from django.urls import reverse
from django.shortcuts import render, redirect, HttpResponseRedirect
from django.contrib.messages.views import SuccessMessageMixin
from django.utils.translation import templatize
from django.views.generic import CreateView, ListView, DeleteView, UpdateView
from .forms import EnquiryForm, ... | true | true |
1c2eabe68bf4698868e90a9f2d54a2c3d20e6bd8 | 12,464 | py | Python | nonebot/matcher.py | Lancercmd/nonebot2 | 59d49becf49d108442c7ca05e4f3e2fb98c3a972 | [
"MIT"
] | null | null | null | nonebot/matcher.py | Lancercmd/nonebot2 | 59d49becf49d108442c7ca05e4f3e2fb98c3a972 | [
"MIT"
] | null | null | null | nonebot/matcher.py | Lancercmd/nonebot2 | 59d49becf49d108442c7ca05e4f3e2fb98c3a972 | [
"MIT"
] | null | null | null | """
事件响应器
==========
该模块实现事件响应器的创建与运行，并提供一些快捷方法来帮助用户更好的与机器人进行 对话 。
"""
from nonebot.log import logger
import typing
import inspect
from functools import wraps
from datetime import datetime
from contextvars import ContextVar
from collections import defaultdict
from nonebot.rule import Rule
from nonebot.permission imp... | 27.575221 | 106 | 0.522866 |
from nonebot.log import logger
import typing
import inspect
from functools import wraps
from datetime import datetime
from contextvars import ContextVar
from collections import defaultdict
from nonebot.rule import Rule
from nonebot.permission import Permission, USER
from nonebot.typing import Type, List, Dict, Union,... | true | true |
1c2eacfafb6429adc60a79646324136bfdb1e1d0 | 786 | py | Python | var/spack/repos/builtin/packages/py-lit/package.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 2,360 | 2017-11-06T08:47:01.000Z | 2022-03-31T14:45:33.000Z | var/spack/repos/builtin/packages/py-lit/package.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 13,838 | 2017-11-04T07:49:45.000Z | 2022-03-31T23:38:39.000Z | var/spack/repos/builtin/packages/py-lit/package.py | kkauder/spack | 6ae8d5c380c1f42094b05d38be26b03650aafb39 | [
"ECL-2.0",
"Apache-2.0",
"MIT-0",
"MIT"
] | 1,793 | 2017-11-04T07:45:50.000Z | 2022-03-30T14:31:53.000Z | # Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyLit(PythonPackage):
"""lit is a portable tool for executing LLVM and Clang style test su... | 37.428571 | 96 | 0.749364 |
from spack import *
class PyLit(PythonPackage):
pypi = "lit/lit-0.5.0.tar.gz"
version('0.7.1', sha256='ecef2833aef7f411cb923dac109c7c9dcc7dbe7cafce0650c1e8d19c243d955f')
version('0.5.0', sha256='3ea4251e78ebeb2e07be2feb33243d1f8931d956efc96ccc2b0846ced212b58c')
depends_on('py-setuptools', type='... | true | true |
1c2ead19859c5bebfcacdc7ae5358b7e31a8fe09 | 2,097 | py | Python | is_ros_pkg/examples/client.py | viniciusbaltoe/is-ros-pkg | e1ec6d5aa40d82b9259e406a1d6d196402e7a246 | [
"MIT"
] | null | null | null | is_ros_pkg/examples/client.py | viniciusbaltoe/is-ros-pkg | e1ec6d5aa40d82b9259e406a1d6d196402e7a246 | [
"MIT"
] | null | null | null | is_ros_pkg/examples/client.py | viniciusbaltoe/is-ros-pkg | e1ec6d5aa40d82b9259e406a1d6d196402e7a246 | [
"MIT"
] | null | null | null | from is_wire.core import Channel, Subscription, Message
from google.protobuf.empty_pb2 import Empty
from is_msgs.common_pb2 import Position
import json
import socket
import time
if __name__ == "__main__":
# -------------------------- Options -------------------------
cont = True
config_file = '../etc/conf/con... | 33.822581 | 71 | 0.592752 | from is_wire.core import Channel, Subscription, Message
from google.protobuf.empty_pb2 import Empty
from is_msgs.common_pb2 import Position
import json
import socket
import time
if __name__ == "__main__":
cont = True
config_file = '../etc/conf/config.json'
config = json.load(open(config_file, 'r'))
... | true | true |
1c2eadfcae187ab3eede7b128082e792f9694294 | 95 | py | Python | tests/__init__.py | rebornix/jedi-language-server | 13297ba1cc109c5f8c2e3b72a82ea79cc9711473 | [
"MIT"
] | 300 | 2019-08-20T14:00:37.000Z | 2022-03-31T00:10:25.000Z | tests/__init__.py | rebornix/jedi-language-server | 13297ba1cc109c5f8c2e3b72a82ea79cc9711473 | [
"MIT"
] | 136 | 2019-08-19T16:04:16.000Z | 2022-03-17T21:31:18.000Z | tests/__init__.py | rebornix/jedi-language-server | 13297ba1cc109c5f8c2e3b72a82ea79cc9711473 | [
"MIT"
] | 37 | 2020-05-03T14:20:51.000Z | 2022-03-23T06:12:22.000Z | """Testing entrypoint."""
import py
TEST_DATA = py.path.local(__file__) / ".." / "test_data"
| 15.833333 | 56 | 0.652632 |
import py
TEST_DATA = py.path.local(__file__) / ".." / "test_data"
| true | true |
1c2eaf20ba4549dae9aed8b51f3a802ab0cf1569 | 2,506 | py | Python | bigml/tests/inspect_model_steps.py | deven96/python | 46be8622fe58f004bdbd636a08a8904ef4134bcd | [
"Apache-2.0"
] | 1 | 2021-08-30T20:18:38.000Z | 2021-08-30T20:18:38.000Z | bigml/tests/inspect_model_steps.py | deven96/python | 46be8622fe58f004bdbd636a08a8904ef4134bcd | [
"Apache-2.0"
] | null | null | null | bigml/tests/inspect_model_steps.py | deven96/python | 46be8622fe58f004bdbd636a08a8904ef4134bcd | [
"Apache-2.0"
] | 1 | 2021-08-30T20:18:40.000Z | 2021-08-30T20:18:40.000Z | # -*- coding: utf-8 -*-
#!/usr/bin/env python
#
# Copyright 2012, 2015-2019 BigML
#
# 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... | 32.545455 | 75 | 0.735834 |
import io
import os
from bigml.tests.world import res_filename
from world import world
from nose.tools import eq_
def i_translate_the_tree_into_IF_THEN_rules(step):
output = io.BytesIO()
world.local_model.rules(out=output)
world.output = output.getvalue()
def i_check_the_data_distribution(step, file):
... | true | true |
1c2eaf3facbffed299455ef3e1efd26f63e89301 | 591 | py | Python | runners/fastwsgi_server.py | timb-machine-mirrors/pcf | d697a531da8c4206a6d874e689312a359446f8da | [
"MIT"
] | null | null | null | runners/fastwsgi_server.py | timb-machine-mirrors/pcf | d697a531da8c4206a6d874e689312a359446f8da | [
"MIT"
] | null | null | null | runners/fastwsgi_server.py | timb-machine-mirrors/pcf | d697a531da8c4206a6d874e689312a359446f8da | [
"MIT"
] | null | null | null | import fastwsgi
import app
def start_server():
host, port, debug, ssl_context = app.config_prepare()
def requires_authorization(f):
@wraps(f)
def decorated(*args, **kwargs):
if config['security']['basic_auth'] == '0':
return f(*args, **kwargs)
auth = re... | 28.142857 | 82 | 0.605753 | import fastwsgi
import app
def start_server():
host, port, debug, ssl_context = app.config_prepare()
def requires_authorization(f):
@wraps(f)
def decorated(*args, **kwargs):
if config['security']['basic_auth'] == '0':
return f(*args, **kwargs)
auth = re... | true | true |
1c2eaf46a4ed2fe9166ba288f3f111543133d5b3 | 10,128 | py | Python | workbench/deals/models.py | yoshson/workbench | 701558cac3357cd82e4dc99f0fefed12ee81ddc5 | [
"MIT"
] | 15 | 2020-09-02T22:17:34.000Z | 2022-02-01T20:09:10.000Z | workbench/deals/models.py | yoshson/workbench | 701558cac3357cd82e4dc99f0fefed12ee81ddc5 | [
"MIT"
] | 18 | 2020-01-08T15:28:26.000Z | 2022-02-28T02:46:41.000Z | workbench/deals/models.py | yoshson/workbench | 701558cac3357cd82e4dc99f0fefed12ee81ddc5 | [
"MIT"
] | 8 | 2020-09-29T08:00:24.000Z | 2022-01-16T11:58:19.000Z | import datetime as dt
from functools import total_ordering
from django.db import models
from django.db.models import Q
from django.utils import timezone
from django.utils.html import format_html
from django.utils.translation import gettext_lazy as _
from workbench.accounts.models import User
from workbench.contacts.m... | 30.053412 | 86 | 0.61957 | import datetime as dt
from functools import total_ordering
from django.db import models
from django.db.models import Q
from django.utils import timezone
from django.utils.html import format_html
from django.utils.translation import gettext_lazy as _
from workbench.accounts.models import User
from workbench.contacts.m... | true | true |
1c2eb04a1a9b3067e99eeca4aaa9170032411906 | 6,912 | py | Python | pyastar/astar.py | julesy89/pyastar | 8f063d55c9f88e1d1f3c6a08b652038abf33b90c | [
"Apache-2.0"
] | 3 | 2020-02-10T16:33:31.000Z | 2022-01-30T06:09:46.000Z | pyastar/astar.py | julesy89/pyastar | 8f063d55c9f88e1d1f3c6a08b652038abf33b90c | [
"Apache-2.0"
] | null | null | null | pyastar/astar.py | julesy89/pyastar | 8f063d55c9f88e1d1f3c6a08b652038abf33b90c | [
"Apache-2.0"
] | null | null | null | from pyastar.problem import Problem
from pyastar.util.node import NodeFactory
from pyastar.util.pq import PriorityQueueSet
class AStar:
def __init__(self,
problem,
heuristic_is_inconsistent=False,
open_set_max_size=None,
open_set_truncate_size=N... | 31.135135 | 105 | 0.584346 | from pyastar.problem import Problem
from pyastar.util.node import NodeFactory
from pyastar.util.pq import PriorityQueueSet
class AStar:
def __init__(self,
problem,
heuristic_is_inconsistent=False,
open_set_max_size=None,
open_set_truncate_size=N... | true | true |
1c2eb1241d77c82f23ac9ba30d8c63a85cb425c1 | 4,431 | py | Python | source/runbooks/ssm-py-scripts/start_secondary_ssm_automation_aurora_cluster.py | elduds/aws-instance-scheduler | 4b4c8a628fd0ab34e7d5c17af215f0bf10e48bd8 | [
"Apache-2.0"
] | 338 | 2018-02-09T17:24:26.000Z | 2021-10-06T01:33:52.000Z | source/runbooks/ssm-py-scripts/start_secondary_ssm_automation_aurora_cluster.py | elduds/aws-instance-scheduler | 4b4c8a628fd0ab34e7d5c17af215f0bf10e48bd8 | [
"Apache-2.0"
] | 267 | 2018-02-09T10:45:25.000Z | 2021-10-15T14:47:34.000Z | source/runbooks/ssm-py-scripts/start_secondary_ssm_automation_aurora_cluster.py | elduds/aws-instance-scheduler | 4b4c8a628fd0ab34e7d5c17af215f0bf10e48bd8 | [
"Apache-2.0"
] | 193 | 2018-02-14T08:25:30.000Z | 2021-10-06T14:59:14.000Z | ######################################################################################################################
# Copyright 2021 Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... | 41.027778 | 118 | 0.488152 |
import boto3
import logging
from botocore.config import Config
def start_rds_secondary_ssm_automation(event, context) -> list:
logging.debug(context)
execution_ids = []
if not event.get('RdsResourceArns'):
return execution_ids
ssm_client = get_client(event)
resource_list = get_resour... | true | true |
1c2eb12c6402438db405004fbe1816c60fc14302 | 969 | py | Python | MSKHackMAG/api.py | kelbin/MCHProject2021Mosru | 3acf7bef228da7a42a1f2ae42562d4ac98a53acb | [
"MIT"
] | null | null | null | MSKHackMAG/api.py | kelbin/MCHProject2021Mosru | 3acf7bef228da7a42a1f2ae42562d4ac98a53acb | [
"MIT"
] | null | null | null | MSKHackMAG/api.py | kelbin/MCHProject2021Mosru | 3acf7bef228da7a42a1f2ae42562d4ac98a53acb | [
"MIT"
] | 1 | 2021-06-13T23:33:51.000Z | 2021-06-13T23:33:51.000Z | from afisha import get_afisha
from analytic import write_like, calculate_recomendation
from result import Result
import json
def get_feed():
r = get_afisha()
return r
def send_like(data):
userId = data["userId"]
afishaId = data["afishaId"]
result = write_like(userId, afishaId, 1)
return res... | 22.534884 | 61 | 0.668731 | from afisha import get_afisha
from analytic import write_like, calculate_recomendation
from result import Result
import json
def get_feed():
r = get_afisha()
return r
def send_like(data):
userId = data["userId"]
afishaId = data["afishaId"]
result = write_like(userId, afishaId, 1)
return res... | true | true |
1c2eb33b28bbe6a77f7479bf5efcdd305388856e | 539 | py | Python | flame/core/model/model_wrapper.py | v-tronglh/flamev2 | 7f376e8fbcfb592e0ad6f72fdaad0af5f2cf9231 | [
"MIT"
] | 3 | 2021-08-05T15:42:05.000Z | 2022-03-17T08:56:58.000Z | flame/core/model/model_wrapper.py | v-tronglh/flamev2 | 7f376e8fbcfb592e0ad6f72fdaad0af5f2cf9231 | [
"MIT"
] | null | null | null | flame/core/model/model_wrapper.py | v-tronglh/flamev2 | 7f376e8fbcfb592e0ad6f72fdaad0af5f2cf9231 | [
"MIT"
] | null | null | null | from typing import Any, Callable
from torch.nn import Module
class ModelWrapper:
def __init__(
self,
model: Module,
input_transform: Callable = lambda x: x,
):
super(ModelWrapper, self).__init__()
self.model = model
self.input_transform = input_transform
d... | 23.434783 | 48 | 0.621521 | from typing import Any, Callable
from torch.nn import Module
class ModelWrapper:
def __init__(
self,
model: Module,
input_transform: Callable = lambda x: x,
):
super(ModelWrapper, self).__init__()
self.model = model
self.input_transform = input_transform
d... | true | true |
1c2eb363382ba5f5dcee9f8740c9c3dcf0ae5183 | 362 | py | Python | idact/detail/log/set_paramiko_log_level.py | intdata-bsc/idact | 54cb65a711c145351e205970c27c83e6393cccf5 | [
"MIT"
] | 5 | 2018-12-06T15:40:34.000Z | 2019-06-19T11:22:58.000Z | idact/detail/log/set_paramiko_log_level.py | garstka/idact | b9c8405c94db362c4a51d6bfdf418b14f06f0da1 | [
"MIT"
] | 9 | 2018-12-06T16:35:26.000Z | 2019-04-28T19:01:40.000Z | idact/detail/log/set_paramiko_log_level.py | intdata-bsc/idact | 54cb65a711c145351e205970c27c83e6393cccf5 | [
"MIT"
] | 2 | 2019-04-28T19:18:58.000Z | 2019-06-17T06:56:28.000Z | """This module contains a function for setting the log level for paramiko."""
import logging
from idact.detail.log.get_logger import get_debug_logger
PARAMIKO_LOG_LEVEL = logging.WARNING
def set_paramiko_log_level():
"""Sets the log level for paramiko."""
transport = get_debug_logger('paramiko.transport')
... | 27.846154 | 77 | 0.779006 | import logging
from idact.detail.log.get_logger import get_debug_logger
PARAMIKO_LOG_LEVEL = logging.WARNING
def set_paramiko_log_level():
transport = get_debug_logger('paramiko.transport')
transport.setLevel(PARAMIKO_LOG_LEVEL)
| true | true |
1c2eb66c68f8848733b17a3cf4239ec78a433d0d | 7,298 | py | Python | configs/trainval/daotad_eccv2022/2.a.iii.1.py | klauscc/vedatad | c59f5ddc8fb227ef08baccbb513948bb1bb23857 | [
"Apache-2.0"
] | null | null | null | configs/trainval/daotad_eccv2022/2.a.iii.1.py | klauscc/vedatad | c59f5ddc8fb227ef08baccbb513948bb1bb23857 | [
"Apache-2.0"
] | null | null | null | configs/trainval/daotad_eccv2022/2.a.iii.1.py | klauscc/vedatad | c59f5ddc8fb227ef08baccbb513948bb1bb23857 | [
"Apache-2.0"
] | null | null | null | # 1. data
dataset_type = "Thumos14Dataset"
data_root = "data/thumos14/"
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True
)
num_frames = 480
img_shape = (224, 224)
overlap_ratio = 0.25
img_dir = "frames_15fps_256x256"
data = dict(
samples_per_gpu=4,
workers_per_g... | 28.960317 | 110 | 0.571252 | dataset_type = "Thumos14Dataset"
data_root = "data/thumos14/"
img_norm_cfg = dict(
mean=[123.675, 116.28, 103.53], std=[58.395, 57.12, 57.375], to_rgb=True
)
num_frames = 480
img_shape = (224, 224)
overlap_ratio = 0.25
img_dir = "frames_15fps_256x256"
data = dict(
samples_per_gpu=4,
workers_per_gpu=4,
... | true | true |
1c2eb69e1e3be5add0d649df44930718da7344ef | 797 | py | Python | miniurl_generic/url/migrations/0001_initial.py | yannisVentura/Django_MiniUrl_Bootstrap | 89a7cdb8c12ba75cf0cd2cb6206961506aad9287 | [
"BSD-3-Clause"
] | null | null | null | miniurl_generic/url/migrations/0001_initial.py | yannisVentura/Django_MiniUrl_Bootstrap | 89a7cdb8c12ba75cf0cd2cb6206961506aad9287 | [
"BSD-3-Clause"
] | 8 | 2017-04-05T13:15:39.000Z | 2017-10-17T09:39:04.000Z | miniurl_generic/url/migrations/0001_initial.py | yannisVentura/Django_MiniUrl_Bootstrap | 89a7cdb8c12ba75cf0cd2cb6206961506aad9287 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.1 on 2016-10-04 08:06
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='MiniUr... | 29.518519 | 114 | 0.603513 | from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='MiniUrl',
fields=[
('id', models.AutoField(auto_cre... | true | true |
1c2eb6b0bb8c9e52dc65101ee61fd393746c6d9b | 1,205 | py | Python | airflow/ti_deps/deps/dag_unpaused_dep.py | wileeam/airflow | f46be8152a4d89c57db4ca46f5b3339e4876b723 | [
"Apache-2.0"
] | 8 | 2017-04-20T16:15:44.000Z | 2020-10-11T13:44:10.000Z | airflow/ti_deps/deps/dag_unpaused_dep.py | devlocalca/airflow | 58c3542ed25061320ce61dbe0adf451a44c738dd | [
"Apache-2.0"
] | 219 | 2017-03-15T18:40:16.000Z | 2022-02-28T22:52:43.000Z | airflow/ti_deps/deps/dag_unpaused_dep.py | devlocalca/airflow | 58c3542ed25061320ce61dbe0adf451a44c738dd | [
"Apache-2.0"
] | 3 | 2016-07-14T21:51:10.000Z | 2020-10-12T13:26:36.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 37.65625 | 71 | 0.744398 |
from airflow.ti_deps.deps.base_ti_dep import BaseTIDep
from airflow.utils.session import provide_session
class DagUnpausedDep(BaseTIDep):
NAME = "Dag Not Paused"
IGNOREABLE = True
@provide_session
def _get_dep_statuses(self, ti, session, dep_context):
if ti.task.dag.is_paused:
yi... | true | true |
1c2eb6fa73a233d255344a1bb49e88539d1b2bb5 | 616 | py | Python | leetcode/easy/intersection_of_two_arrays_ii/py/solution.py | lilsweetcaligula/Online-Judges | 48454a8e6b5b86f80e89eca1b396480df8960cfd | [
"MIT"
] | null | null | null | leetcode/easy/intersection_of_two_arrays_ii/py/solution.py | lilsweetcaligula/Online-Judges | 48454a8e6b5b86f80e89eca1b396480df8960cfd | [
"MIT"
] | null | null | null | leetcode/easy/intersection_of_two_arrays_ii/py/solution.py | lilsweetcaligula/Online-Judges | 48454a8e6b5b86f80e89eca1b396480df8960cfd | [
"MIT"
] | null | null | null | class Solution(object):
def intersect(self, nums1, nums2):
"""
:type nums1: List[int]
:type nums2: List[int]
:rtype: List[int]
"""
result = []
nums1 = sorted(nums1)
nums2 = sorted(nums2)
i = 0
j = 0
while i <... | 23.692308 | 48 | 0.371753 | class Solution(object):
def intersect(self, nums1, nums2):
result = []
nums1 = sorted(nums1)
nums2 = sorted(nums2)
i = 0
j = 0
while i < len(nums1) and j < len(nums2):
if nums1[i] == nums2[j]:
result.append(nums1[i])
... | true | true |
1c2eb71ead2363009a56bf89e169532913118a38 | 160 | py | Python | cards/apps.py | neosergio/WisdomBox | f41bd828f5e264c7ad05262b29c8f02cf904b54a | [
"MIT"
] | null | null | null | cards/apps.py | neosergio/WisdomBox | f41bd828f5e264c7ad05262b29c8f02cf904b54a | [
"MIT"
] | 2 | 2017-02-09T14:52:43.000Z | 2017-02-10T19:31:38.000Z | cards/apps.py | neosergio/WisdomBox | f41bd828f5e264c7ad05262b29c8f02cf904b54a | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
from django.apps import AppConfig
class CardsConfig(AppConfig):
name = 'cards'
verbose_name = 'Wisdom Cards'
| 17.777778 | 39 | 0.7625 | from __future__ import unicode_literals
from django.apps import AppConfig
class CardsConfig(AppConfig):
name = 'cards'
verbose_name = 'Wisdom Cards'
| true | true |
1c2eb726a627a42117538c0779f66d6db0987c03 | 218 | py | Python | stupidArtnet/__init__.py | verycollective/stupidArtnet | 80e7722598d06e1c533ffd28a92e26c784e23389 | [
"MIT"
] | 13 | 2018-11-07T20:19:57.000Z | 2020-07-31T23:15:00.000Z | stupidArtnet/__init__.py | digitalanimalscollective/stupidArtnet | 80e7722598d06e1c533ffd28a92e26c784e23389 | [
"MIT"
] | 2 | 2019-04-10T17:22:23.000Z | 2020-02-11T14:55:44.000Z | stupidArtnet/__init__.py | digitalanimalscollective/stupidArtnet | 80e7722598d06e1c533ffd28a92e26c784e23389 | [
"MIT"
] | 9 | 2019-03-01T12:00:27.000Z | 2020-07-30T19:34:15.000Z | """Facilitates library imports."""
from stupidArtnet.StupidArtnetServer import StupidArtnetServer
from stupidArtnet.ArtnetUtils import shift_this, put_in_range, make_address_mask
from .StupidArtnet import StupidArtnet
| 43.6 | 80 | 0.866972 | from stupidArtnet.StupidArtnetServer import StupidArtnetServer
from stupidArtnet.ArtnetUtils import shift_this, put_in_range, make_address_mask
from .StupidArtnet import StupidArtnet
| true | true |
1c2eb746dbf03c9401fcbe7364388d36d331e74a | 72 | py | Python | straph/paths/__init__.py | GiulioRossetti/Straph | edc021d25243bcca619c62dca1f28cf05b73a92c | [
"Apache-2.0"
] | 3 | 2021-05-24T16:23:51.000Z | 2021-08-07T20:14:53.000Z | straph/paths/__init__.py | GiulioRossetti/Straph | edc021d25243bcca619c62dca1f28cf05b73a92c | [
"Apache-2.0"
] | 1 | 2021-05-25T12:30:36.000Z | 2021-05-25T12:30:36.000Z | straph/paths/__init__.py | GiulioRossetti/Straph | edc021d25243bcca619c62dca1f28cf05b73a92c | [
"Apache-2.0"
] | 3 | 2021-05-25T09:04:43.000Z | 2021-11-02T16:27:23.000Z | from straph.paths.path_object import *
from straph.paths.paths import *
| 24 | 38 | 0.805556 | from straph.paths.path_object import *
from straph.paths.paths import *
| true | true |
1c2eb7cfed9158485e706c5f38abfc820fbb10d4 | 3,169 | py | Python | src/ef/field/__init__.py | fizmat/ef_python | 1fccdc90b1dd628c9adb5f8713bee4e4df633daf | [
"MIT"
] | 1 | 2018-12-13T08:32:46.000Z | 2018-12-13T08:32:46.000Z | src/ef/field/__init__.py | dumbman/ef_python | d26e48d3afd81c3b24a5ec207fce674cdc9609d3 | [
"MIT"
] | 3 | 2018-05-21T11:26:57.000Z | 2020-03-12T12:28:44.000Z | src/ef/field/__init__.py | dumbman/ef_python | d26e48d3afd81c3b24a5ec207fce674cdc9609d3 | [
"MIT"
] | null | null | null | import inject
import numpy as np
from ef.util.serializable_h5 import SerializableH5
class Field(SerializableH5):
def __init__(self, name, electric_or_magnetic):
self.name = name
self.electric_or_magnetic = electric_or_magnetic
def __add__(self, b):
return FieldSum.factory((self, b))
... | 38.180723 | 112 | 0.603976 | import inject
import numpy as np
from ef.util.serializable_h5 import SerializableH5
class Field(SerializableH5):
def __init__(self, name, electric_or_magnetic):
self.name = name
self.electric_or_magnetic = electric_or_magnetic
def __add__(self, b):
return FieldSum.factory((self, b))
... | true | true |
1c2eb7eb9834caf7eb2dfffa95fda486d9a9f4e3 | 35,676 | py | Python | pyrex/generation.py | abigailbishop/pyrex | 10ba2e9f4c8820f4fcf5f00bd866927dacb0b2b5 | [
"MIT"
] | 6 | 2018-06-19T16:01:35.000Z | 2020-05-21T20:02:53.000Z | pyrex/generation.py | bhokansonfasig/pyrex | 8b2abc954f2cf4945424042f33847b783c72dcfa | [
"MIT"
] | 4 | 2018-01-19T14:52:33.000Z | 2021-09-02T17:20:07.000Z | pyrex/generation.py | abigailbishop/pyrex | 10ba2e9f4c8820f4fcf5f00bd866927dacb0b2b5 | [
"MIT"
] | 5 | 2018-01-19T14:49:16.000Z | 2021-01-21T12:34:59.000Z | """
Module for particle (neutrino) generators.
Generators are responsible for the input of events into the simulation.
"""
from collections.abc import Iterable
from enum import Enum
import logging
import numpy as np
from pyrex.internal_functions import get_from_enum
from pyrex.earth_model import earth
from pyrex.par... | 35.927492 | 79 | 0.59746 |
from collections.abc import Iterable
from enum import Enum
import logging
import numpy as np
from pyrex.internal_functions import get_from_enum
from pyrex.earth_model import earth
from pyrex.particle import Event, Particle, NeutrinoInteraction
from pyrex.io import File
logger = logging.getLogger(__name__)
class Gen... | true | true |
1c2eb94162bd8c245bbcdc3f3cc42fa660d07460 | 6,069 | py | Python | routes.py | kuldeep24680/RESTAPI-for-analyzing-data-to-excel-uploaded-file-and-downloading-resultant-csv-files-on-flask | 5e3f35de2599f71078974c4e5a46bb94da426200 | [
"MIT"
] | null | null | null | routes.py | kuldeep24680/RESTAPI-for-analyzing-data-to-excel-uploaded-file-and-downloading-resultant-csv-files-on-flask | 5e3f35de2599f71078974c4e5a46bb94da426200 | [
"MIT"
] | null | null | null | routes.py | kuldeep24680/RESTAPI-for-analyzing-data-to-excel-uploaded-file-and-downloading-resultant-csv-files-on-flask | 5e3f35de2599f71078974c4e5a46bb94da426200 | [
"MIT"
] | null | null | null | from app import app
from flask import render_template, request,send_file
import pandas as pd
import csv
import xlrd
# to route the user the upload the .xlsx file
@app.route('/')
def upload_file():
return render_template('upload.html')
# function that converts the .xlsx file into .csv file and saves ... | 42.145833 | 215 | 0.672928 | from app import app
from flask import render_template, request,send_file
import pandas as pd
import csv
import xlrd
@app.route('/')
def upload_file():
return render_template('upload.html')
@app.route('/Fileupload', methods = ['POST'])
def upload():
if request.method == 'POST':
f = request... | true | true |
1c2eb95134eb8fd3953659373a21b5dc998d5027 | 1,365 | py | Python | run_results.py | phylatechnologies/ibd_classification_benchmark | 667e0b42e70bd56c6675062b10dae38407e785b0 | [
"MIT"
] | null | null | null | run_results.py | phylatechnologies/ibd_classification_benchmark | 667e0b42e70bd56c6675062b10dae38407e785b0 | [
"MIT"
] | null | null | null | run_results.py | phylatechnologies/ibd_classification_benchmark | 667e0b42e70bd56c6675062b10dae38407e785b0 | [
"MIT"
] | null | null | null | import os
import pandas as pd
import numpy as np
from metadata.getters import get_pwd
from analysis.evaluation_methods import get_performance
import random
np.random.seed(26)
random.seed(26)
def get_sample_info(dataset):
'''
:param exp_name: experiment string
:return: unpickled data set
'''
data_fi... | 26.25 | 68 | 0.589744 | import os
import pandas as pd
import numpy as np
from metadata.getters import get_pwd
from analysis.evaluation_methods import get_performance
import random
np.random.seed(26)
random.seed(26)
def get_sample_info(dataset):
data_file = '{}.pkl'.format(dataset)
data_path = '{}/datasets/{}'.format(get_pwd(), data_f... | true | true |
1c2eb97d2acd29ed9d533618df715e94812ce8e5 | 27,136 | py | Python | macOS/Xcode/Maestral/Maestral/app_packages/survey/tools.py | productinfo/maestral-cocoa | d1626c68ace1939bd53cda53c53cbb43c9fb7a8e | [
"MIT"
] | 8 | 2020-11-13T08:48:01.000Z | 2021-12-16T06:30:27.000Z | macOS/Xcode/Maestral/Maestral/app_packages/survey/tools.py | productinfo/maestral-cocoa | d1626c68ace1939bd53cda53c53cbb43c9fb7a8e | [
"MIT"
] | 4 | 2022-01-05T09:16:30.000Z | 2022-03-29T09:32:44.000Z | macOS/Xcode/Maestral/Maestral/app_packages/survey/tools.py | productinfo/maestral-cocoa | d1626c68ace1939bd53cda53c53cbb43c9fb7a8e | [
"MIT"
] | 1 | 2022-01-05T08:56:59.000Z | 2022-01-05T08:56:59.000Z | import enum
import types
import wrapio
import os
import string
import itertools
from . import helpers
__all__ = ('Source', 'Translator', 'LineEditor', 'MultiLineEditor', 'Select',
'MultiSelect')
_blocks = string.whitespace + string.punctuation
class Source(helpers.Handle):
"""
Turns stdin rea... | 20.026568 | 79 | 0.532098 | import enum
import types
import wrapio
import os
import string
import itertools
from . import helpers
__all__ = ('Source', 'Translator', 'LineEditor', 'MultiLineEditor', 'Select',
'MultiSelect')
_blocks = string.whitespace + string.punctuation
class Source(helpers.Handle):
Event = enum.Enum(
... | true | true |
1c2eba00650c8b64ca478183c3d227a97692f36e | 1,439 | py | Python | nonebot/adapters/feishu/utils.py | nonebot/adapter-feishu | 392d734bbf09b88c2e7557102f2562111b84fce8 | [
"MIT"
] | 2 | 2021-11-29T16:05:17.000Z | 2022-03-21T07:45:50.000Z | nonebot/adapters/feishu/utils.py | nonebot/adapter-feishu | 392d734bbf09b88c2e7557102f2562111b84fce8 | [
"MIT"
] | 1 | 2022-03-16T07:26:10.000Z | 2022-03-16T07:26:10.000Z | nonebot/adapters/feishu/utils.py | nonebot/adapter-feishu | 392d734bbf09b88c2e7557102f2562111b84fce8 | [
"MIT"
] | null | null | null | import base64
import hashlib
from typing import Any, Dict, Optional
from cashews import cache
from Crypto.Cipher import AES
from nonebot.utils import logger_wrapper
from .exception import ActionFailed
log = logger_wrapper("FEISHU")
cache.setup("mem://")
def _handle_api_result(result: Optional[Dict[str, Any]]) -> ... | 21.80303 | 71 | 0.607366 | import base64
import hashlib
from typing import Any, Dict, Optional
from cashews import cache
from Crypto.Cipher import AES
from nonebot.utils import logger_wrapper
from .exception import ActionFailed
log = logger_wrapper("FEISHU")
cache.setup("mem://")
def _handle_api_result(result: Optional[Dict[str, Any]]) -> ... | true | true |
1c2ebcb9f1c7e30c527922e1b531e8cc615065de | 1,998 | py | Python | src/oidcop/session/info.py | MdreW/oidc-op | 684355981ea12516e1b5ef3ed72a4ecf572109bf | [
"Apache-2.0"
] | null | null | null | src/oidcop/session/info.py | MdreW/oidc-op | 684355981ea12516e1b5ef3ed72a4ecf572109bf | [
"Apache-2.0"
] | null | null | null | src/oidcop/session/info.py | MdreW/oidc-op | 684355981ea12516e1b5ef3ed72a4ecf572109bf | [
"Apache-2.0"
] | null | null | null | from typing import List
from typing import Optional
from oidcmsg.impexp import ImpExp
class SessionInfo(ImpExp):
parameter = {"subordinate": [], "revoked": bool, "type": "", "extra_args": {}}
def __init__(
self,
subordinate: Optional[List[str]] = None,
revoked: Optional[bool] = False... | 28.140845 | 86 | 0.610611 | from typing import List
from typing import Optional
from oidcmsg.impexp import ImpExp
class SessionInfo(ImpExp):
parameter = {"subordinate": [], "revoked": bool, "type": "", "extra_args": {}}
def __init__(
self,
subordinate: Optional[List[str]] = None,
revoked: Optional[bool] = False... | true | true |
1c2ebce233d748bc3dbd55e3e7f871b51601686e | 21,795 | py | Python | ModernWarfare/modernwarfare.py | EthanC/Hyde | 0325eb12c5849dbe4e4b317bd8d3f026c989e7f9 | [
"MIT"
] | 14 | 2020-05-01T13:54:48.000Z | 2022-02-14T21:58:35.000Z | ModernWarfare/modernwarfare.py | EthanC/Hyde | 0325eb12c5849dbe4e4b317bd8d3f026c989e7f9 | [
"MIT"
] | 3 | 2020-06-09T19:24:48.000Z | 2021-03-06T11:34:04.000Z | ModernWarfare/modernwarfare.py | EthanC/Hyde | 0325eb12c5849dbe4e4b317bd8d3f026c989e7f9 | [
"MIT"
] | 4 | 2020-05-24T19:15:08.000Z | 2022-02-04T21:20:29.000Z | import logging
from typing import Any, Dict, List, Optional, TypedDict
from utility import Utility
from .database import Database
from .XAssets import (
Accessories,
BattlePasses,
BattlePassItems,
Bundles,
CallingCards,
Camos,
Charms,
Consumables,
Emblems,
Equipment,
Execut... | 36.446488 | 86 | 0.590411 | import logging
from typing import Any, Dict, List, Optional, TypedDict
from utility import Utility
from .database import Database
from .XAssets import (
Accessories,
BattlePasses,
BattlePassItems,
Bundles,
CallingCards,
Camos,
Charms,
Consumables,
Emblems,
Equipment,
Execut... | true | true |
1c2ebfbba2889019f3daeaf8c2c41e1faae71ede | 896 | py | Python | examples/core/produce_c_file.py | fengjixuchui/src | 0c5a6cd8057717f73b1373f8d85eb9b19e1934e1 | [
"BSD-3-Clause"
] | 1,160 | 2015-05-02T15:13:20.000Z | 2022-03-31T20:04:28.000Z | examples/core/produce_c_file.py | fengjixuchui/src | 0c5a6cd8057717f73b1373f8d85eb9b19e1934e1 | [
"BSD-3-Clause"
] | 19 | 2015-04-20T13:47:00.000Z | 2021-07-07T13:00:42.000Z | examples/core/produce_c_file.py | fengjixuchui/src | 0c5a6cd8057717f73b1373f8d85eb9b19e1934e1 | [
"BSD-3-Clause"
] | 257 | 2015-04-01T21:42:33.000Z | 2022-03-10T11:57:51.000Z | """
summary: decompile entire file
description:
automate IDA to perform auto-analysis on a file and,
once that is done, produce a .c file containing the
decompilation of all the functions in that file.
Run like so:
ida -A "-S...path/to/produce_c_file.py" <binary-file>
where:
* -A instructs ID... | 23.578947 | 72 | 0.722098 |
import ida_pro
import ida_auto
import ida_loader
import ida_hexrays
idb_path = ida_loader.get_path(ida_loader.PATH_TYPE_IDB)
c_path = "%s.c" % idb_path
ida_auto.auto_wait() ida_hexrays.decompile_many( c_path,
None,
ida_hexrays.VDRUN_NEWFILE
|ida_hexrays.VDRUN_SILENT
|ida_hexrays.VDRUN_MAYSTOP)
ida... | true | true |
1c2ebfd75fe3944d8065afbbfce8e4cb94d66e50 | 13,075 | py | Python | src/saml2/httpbase.py | skanct/pysaml2 | 0c1e26a6dd8759962857a30ebd67f63fe9e881ee | [
"Apache-2.0"
] | 5,079 | 2015-01-01T03:39:46.000Z | 2022-03-31T07:38:22.000Z | desktop/core/ext-py/pysaml2-4.4.0/src/saml2/httpbase.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 1,623 | 2015-01-01T08:06:24.000Z | 2022-03-30T19:48:52.000Z | desktop/core/ext-py/pysaml2-4.4.0/src/saml2/httpbase.py | zks888/hue | 93a8c370713e70b216c428caa2f75185ef809deb | [
"Apache-2.0"
] | 2,033 | 2015-01-04T07:18:02.000Z | 2022-03-28T19:55:47.000Z | import calendar
import six
from six.moves import http_cookiejar
import copy
import re
from six.moves.urllib.parse import urlparse
from six.moves.urllib.parse import urlencode
import requests
import time
from six.moves.http_cookies import SimpleCookie
from saml2.time_util import utc_now
from saml2 import class_name, SAM... | 31.735437 | 95 | 0.524512 | import calendar
import six
from six.moves import http_cookiejar
import copy
import re
from six.moves.urllib.parse import urlparse
from six.moves.urllib.parse import urlencode
import requests
import time
from six.moves.http_cookies import SimpleCookie
from saml2.time_util import utc_now
from saml2 import class_name, SAM... | true | true |
1c2ec000659f19143f2f3a883502db0eb1d71d33 | 6,398 | py | Python | Chapter_Clustering_GMM/ProcessMonitoring_GMM.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | 2 | 2022-02-20T18:57:46.000Z | 2022-03-03T07:07:12.000Z | Chapter_Clustering_GMM/ProcessMonitoring_GMM.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | null | null | null | Chapter_Clustering_GMM/ProcessMonitoring_GMM.py | ML-PSE/Machine_Learning_for_PSE | b53578d7cc0e0eca4907527b188a60de06d6710e | [
"Apache-2.0"
] | null | null | null | ##%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
## Process Monitoring of Etch data
## %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
#%% import required packages
import numpy as np
import matplotlib.pyplot as plt
from sklearn... | 36.770115 | 165 | 0.595186 |
import numpy as np
import matplotlib.pyplot as plt
from sklearn.mixture import GaussianMixture
import scipy.io
matlab_data = scipy.io.loadmat('MACHINE_Data.mat', struct_as_record = False)
Etch_data = matlab_data['LAMDATA']
calibration_dataAll = Etch_data[0,0].calibration
variable_names = Etch_data[0,0].va... | true | true |
1c2ec0204f13deadf34e31a40a561e0198ba50a8 | 665 | py | Python | src/genie/libs/parser/bigip/get_net_sfcchain.py | nujo/genieparser | 083b01efc46afc32abe1a1858729578beab50cd3 | [
"Apache-2.0"
] | 204 | 2018-06-27T00:55:27.000Z | 2022-03-06T21:12:18.000Z | src/genie/libs/parser/bigip/get_net_sfcchain.py | nujo/genieparser | 083b01efc46afc32abe1a1858729578beab50cd3 | [
"Apache-2.0"
] | 468 | 2018-06-19T00:33:18.000Z | 2022-03-31T23:23:35.000Z | src/genie/libs/parser/bigip/get_net_sfcchain.py | nujo/genieparser | 083b01efc46afc32abe1a1858729578beab50cd3 | [
"Apache-2.0"
] | 309 | 2019-01-16T20:21:07.000Z | 2022-03-30T12:56:41.000Z | # Global Imports
import json
from collections import defaultdict
# Metaparser
from genie.metaparser import MetaParser
# =============================================
# Collection for '/mgmt/tm/net/sfc/chain' resources
# =============================================
class NetSfcChainSchema(MetaParser):
schema =... | 19.558824 | 52 | 0.578947 | import json
from collections import defaultdict
from genie.metaparser import MetaParser
class NetSfcChainSchema(MetaParser):
schema = {}
class NetSfcChain(NetSfcChainSchema):
cli_command = "/mgmt/tm/net/sfc/chain"
def rest(self):
response = self.device.get(self.cli_command)
respon... | true | true |
1c2ec05a5b77d971e797ce93d09ecd74e83f2274 | 585 | py | Python | tests/common/server_sent_events/sse4python/test_web_request_factory.py | yellowdog/yellowdog-sdk-python-public | da69a7d6e45c92933e34fefcaef8b5d98dcd6036 | [
"Apache-2.0"
] | null | null | null | tests/common/server_sent_events/sse4python/test_web_request_factory.py | yellowdog/yellowdog-sdk-python-public | da69a7d6e45c92933e34fefcaef8b5d98dcd6036 | [
"Apache-2.0"
] | null | null | null | tests/common/server_sent_events/sse4python/test_web_request_factory.py | yellowdog/yellowdog-sdk-python-public | da69a7d6e45c92933e34fefcaef8b5d98dcd6036 | [
"Apache-2.0"
] | null | null | null | from yellowdog_client.common.server_sent_events.sse4python import WebRequestFactory
class TestCreate(object):
def test__expect_requester_returned_with_headers_passed(self, mocker):
mock_requester = mocker.patch(
"yellowdog_client.common.server_sent_events.sse4python.web_request_factory.WebRequ... | 34.411765 | 100 | 0.752137 | from yellowdog_client.common.server_sent_events.sse4python import WebRequestFactory
class TestCreate(object):
def test__expect_requester_returned_with_headers_passed(self, mocker):
mock_requester = mocker.patch(
"yellowdog_client.common.server_sent_events.sse4python.web_request_factory.WebRequ... | true | true |
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