hexsha stringlengths 40 40 | size int64 6 1.04M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 4 247 | max_stars_repo_name stringlengths 4 130 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 368k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 4 247 | max_issues_repo_name stringlengths 4 130 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 116k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 4 247 | max_forks_repo_name stringlengths 4 130 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 1 1.04M | avg_line_length float64 1.53 618k | max_line_length int64 1 1.02M | alphanum_fraction float64 0 1 | original_content stringlengths 6 1.04M | filtered:remove_non_ascii int64 0 538k | filtered:remove_decorators int64 0 917k | filtered:remove_async int64 0 722k | filtered:remove_classes int64 -45 1M | filtered:remove_generators int64 0 814k | filtered:remove_function_no_docstring int64 -102 850k | filtered:remove_class_no_docstring int64 -3 5.46k | filtered:remove_unused_imports int64 -1,350 52.4k | filtered:remove_delete_markers int64 0 59.6k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9ed0bfed7678b3e557578465045c55d329de8231 | 1,540 | py | Python | setup.py | toxinu/sofart | ec93cee5979ec02ea15955def837aed8f8804970 | [
"BSD-3-Clause"
] | 1 | 2018-03-02T17:49:44.000Z | 2018-03-02T17:49:44.000Z | setup.py | toxinu/sofart | ec93cee5979ec02ea15955def837aed8f8804970 | [
"BSD-3-Clause"
] | null | null | null | setup.py | toxinu/sofart | ec93cee5979ec02ea15955def837aed8f8804970 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
import os
import re
import sys
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
if sys.version < '3':
import codecs
else:
if sys.argv[-1] == 'publish':
os.system('python setup.py sdist upload')
sys.exit()
setup(
name=u('sofart'),
v... | 26.101695 | 79 | 0.655195 | #!/usr/bin/env python
# coding: utf-8
import os
import re
import sys
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def get_version():
VERSIONFILE = 'sofart/__init__.py'
initfile_lines = open(VERSIONFILE, 'rt').readlines()
VSRE = r"^__version__ = ['\"]([^'\"]*)['... | 0 | 0 | 0 | 0 | 0 | 376 | 0 | 0 | 71 |
2c7d27c174995caee966f90d2d62e70461be4c5e | 12,794 | py | Python | src/sec4parser.py | zbirnba1/quantative-finance | 55c20fc4db99837fce6e90cf0f621cb40af1187b | [
"MIT"
] | 3 | 2018-10-11T19:40:56.000Z | 2019-02-21T23:44:25.000Z | src/sec4parser.py | droiter/quantative-finance | 55c20fc4db99837fce6e90cf0f621cb40af1187b | [
"MIT"
] | 1 | 2019-11-02T00:54:26.000Z | 2019-11-02T00:54:26.000Z | src/sec4parser.py | droiter/quantative-finance | 55c20fc4db99837fce6e90cf0f621cb40af1187b | [
"MIT"
] | 4 | 2019-03-06T23:28:14.000Z | 2021-03-27T15:05:46.000Z | import logging
import inspect
if __name__ == "__main__":
logging.basicConfig(filename=inspect.stack()[0][1].replace('py','log'),level=logging.INFO,format='%(asctime)s:%(levelname)s:%(message)s')
allfilings_2_form4()
update_data()
| 37.852071 | 154 | 0.766297 | import xml.etree.cElementTree as et
import urllib2
import pandas as pd
import mongomanager
import logging
import inspect
import requestswrapper
from joblib import Parallel, delayed
import multiprocessing
from random import shuffle
class sec4parser():
def __init__(self,url=None,xml_text=None):
#the url should be the... | 0 | 0 | 0 | 10,026 | 0 | 2,264 | 0 | 25 | 243 |
dd47fa495258810e2925cecbbb2c9da53d2e821f | 2,144 | py | Python | blueprints/html/__init__.py | mariussteffens/security-crawl-maze | 7bfa4e58344633016e2b5f2f30bd2dacea0a819b | [
"Apache-2.0"
] | 103 | 2019-05-25T00:44:52.000Z | 2022-03-30T17:21:28.000Z | blueprints/html/__init__.py | mariussteffens/security-crawl-maze | 7bfa4e58344633016e2b5f2f30bd2dacea0a819b | [
"Apache-2.0"
] | 3 | 2020-08-10T09:36:30.000Z | 2022-03-11T11:59:20.000Z | blueprints/html/__init__.py | mariussteffens/security-crawl-maze | 7bfa4e58344633016e2b5f2f30bd2dacea0a819b | [
"Apache-2.0"
] | 22 | 2019-06-27T11:25:16.000Z | 2022-03-18T16:24:11.000Z | # Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 34.031746 | 80 | 0.724813 | # Copyright 2019 Google LLC. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 7 | 901 | 0 | 0 | 0 | 0 | 0 | 35 | 203 |
db857f32f541baebe1a0ccf43e0f9bb8532b99e7 | 8,373 | py | Python | lib/tests/streamlit/dataframe_selector_test.py | ChangHoon-Sung/streamlit | 83e0b80d2fa13e29e83d092a9fc4d946460bbf73 | [
"Apache-2.0"
] | 1 | 2022-03-14T07:55:33.000Z | 2022-03-14T07:55:33.000Z | lib/tests/streamlit/dataframe_selector_test.py | ChangHoon-Sung/streamlit | 83e0b80d2fa13e29e83d092a9fc4d946460bbf73 | [
"Apache-2.0"
] | 35 | 2021-10-12T04:41:39.000Z | 2022-03-28T04:50:45.000Z | lib/tests/streamlit/dataframe_selector_test.py | AlexRogalskiy/streamlit | d153db37d97faada87bf88972886cda5a624f8c8 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018-2022 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 47.845714 | 88 | 0.745611 | # Copyright 2018-2022 Streamlit Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 0 | 6,724 | 0 | 640 | 0 | 0 | 0 | 56 | 135 |
ed328ad0584f94997a4717820240f934deddca73 | 1,272 | py | Python | empower/cli/projects_commands/list_projects.py | 5g-empower/empower-runtime | 7a71f692f8a0814093d35de5ef0c79d348aa4c2d | [
"Apache-2.0"
] | 52 | 2016-04-18T09:40:29.000Z | 2021-12-14T19:32:21.000Z | empower/cli/projects_commands/list_projects.py | 5g-empower/empower-runtime | 7a71f692f8a0814093d35de5ef0c79d348aa4c2d | [
"Apache-2.0"
] | 36 | 2016-07-04T14:10:58.000Z | 2021-08-13T01:10:32.000Z | empower/cli/projects_commands/list_projects.py | 5g-empower/empower-runtime | 7a71f692f8a0814093d35de5ef0c79d348aa4c2d | [
"Apache-2.0"
] | 51 | 2016-04-20T14:21:32.000Z | 2022-03-18T14:43:56.000Z | #!/usr/bin/env python3
#
# Copyright (c) 2019 Roberto Riggio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 28.266667 | 73 | 0.653302 | #!/usr/bin/env python3
#
# Copyright (c) 2019 Roberto Riggio
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicabl... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fb99ead52bbf4f6574a7f21012730db1aec98efe | 597 | py | Python | ana/debug_buffer.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 11 | 2020-07-05T02:39:32.000Z | 2022-03-20T18:52:44.000Z | ana/debug_buffer.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | null | null | null | ana/debug_buffer.py | hanswenzel/opticks | b75b5929b6cf36a5eedeffb3031af2920f75f9f0 | [
"Apache-2.0"
] | 4 | 2020-09-03T20:36:32.000Z | 2022-01-19T07:42:21.000Z | #!/usr/bin/env python
"""
::
run ~/opticks/ana/debug_buffer.py
"""
import os, numpy as np
np.set_printoptions(suppress=True)
os.environ.setdefault("OPTICKS_EVENT_BASE",os.path.expandvars("/tmp/$USER/opticks"))
path = os.path.expandvars("$OPTICKS_EVENT_BASE/G4OKTest/evt/g4live/natural/1/dg.npy")
dg = np.load(pa... | 21.321429 | 127 | 0.695142 | #!/usr/bin/env python
"""
::
run ~/opticks/ana/debug_buffer.py
"""
import os, numpy as np
np.set_printoptions(suppress=True)
os.environ.setdefault("OPTICKS_EVENT_BASE",os.path.expandvars("/tmp/$USER/opticks"))
path = os.path.expandvars("$OPTICKS_EVENT_BASE/G4OKTest/evt/g4live/natural/1/dg.npy")
dg = np.load(pa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
894a4e16e11d105fadd523bfe361f601fd3318a5 | 71,917 | py | Python | Tank1990AIf/Test1_main.py | cheapmouse94/Machine-Learning-tank1990-python | 8b75983289c7bc0831827561cec12d4ad2addee2 | [
"MIT"
] | null | null | null | Tank1990AIf/Test1_main.py | cheapmouse94/Machine-Learning-tank1990-python | 8b75983289c7bc0831827561cec12d4ad2addee2 | [
"MIT"
] | null | null | null | Tank1990AIf/Test1_main.py | cheapmouse94/Machine-Learning-tank1990-python | 8b75983289c7bc0831827561cec12d4ad2addee2 | [
"MIT"
] | null | null | null | import pygame
import os
FPS = 1000
SQM = 64
EAGLE_Y = []
EAGLE_G = []
BULLETS_Y_objects = []
BULLETS_Y_RECT = []
BULLETS_G_objects = []
BULLETS_G_RECT = []
BACKGROUND_RECT = []
GRASS_RECT = []
WATER_RECT = []
BRICK_RECT = []
BRICK_RECT_MANY = []
BRICK_RECT_MINI = []
SOLID_RECT = []
MAPPING = [
'HHHH... | 43.825107 | 212 | 0.584549 | import threading
import pygame
import time
import sys
import os
from pygame.locals import *
import numpy as np
from collections import deque
import torch
from torch.autograd import Variable
from Tank_AI import Linear_QNet, QTrainer
import random
FPS = 1000
SQM = 64
EAGLE_Y = []
EAGLE_G = []
BULLETS_Y_... | 330 | 0 | 0 | 67,438 | 0 | 0 | 0 | 2 | 471 |
0b166977697a50b8b973f408ecd8c891246ce69d | 1,077 | py | Python | Scripts/long term monobit test/graph_results/graph_results.py | robseward/Ziffer | 4113bf7a92fa550195c5cef76fc9f20c46f183ff | [
"MIT"
] | 15 | 2016-12-17T02:49:24.000Z | 2020-05-04T22:51:35.000Z | Scripts/long term monobit test/graph_results/graph_results.py | robseward/Ziffer | 4113bf7a92fa550195c5cef76fc9f20c46f183ff | [
"MIT"
] | 1 | 2018-06-26T22:06:23.000Z | 2020-05-25T17:30:16.000Z | Scripts/long term monobit test/graph_results/graph_results.py | robseward/Ziffer | 4113bf7a92fa550195c5cef76fc9f20c46f183ff | [
"MIT"
] | 2 | 2019-10-27T21:34:15.000Z | 2021-09-29T17:40:04.000Z | import matplotlib.pyplot as plot
import matplotlib.dates as md
from matplotlib.dates import date2num
import datetime
# from pylab import *
from numpy import polyfit
import numpy as np
f = open("deviations.csv")
values = []
timestamps = []
for (i, line) in enumerate(f):
if i >= 1:
lineArray = line.split(",... | 28.342105 | 97 | 0.680594 | import matplotlib.pyplot as plot
import matplotlib.dates as md
from matplotlib.dates import date2num
import datetime
# from pylab import *
from numpy import polyfit
import numpy as np
f = open("deviations.csv")
values = []
timestamps = []
for (i, line) in enumerate(f):
if i >= 1:
lineArray = line.split(",... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a7680cf40e16dc12bf0c188958c9d947ce0852c4 | 1,761 | py | Python | run/benchmark_runs.py | BenRLewis/P4-Source-Routing | f91fef8b0b16318bd613ae8c8e43e18a7d780733 | [
"Apache-2.0"
] | 1 | 2021-03-26T10:48:03.000Z | 2021-03-26T10:48:03.000Z | run/benchmark_runs.py | BenRLewis/P4-Source-Routing | f91fef8b0b16318bd613ae8c8e43e18a7d780733 | [
"Apache-2.0"
] | null | null | null | run/benchmark_runs.py | BenRLewis/P4-Source-Routing | f91fef8b0b16318bd613ae8c8e43e18a7d780733 | [
"Apache-2.0"
] | null | null | null | import argparse
import pexpect
import sys
import time
import timeit
import zmq
parser = argparse.ArgumentParser('Run a range of tests and write the results to a file')
parser.add_argument('runs', type=int, help='The number of runs for each approach')
parser.add_argument('min_number', type=int, help='The starting numbe... | 41.928571 | 111 | 0.687677 | import argparse
import pexpect
import sys
import time
import timeit
import zmq
def run_table_insert(dstSwitch):
context = zmq.Context()
socket = context.socket(zmq.REQ)
socket.connect("tcp://localhost:5555")
message = {'dstIsland': dstSwitch, 'dstMac': "AA:00:00:00:05:01", 'egressPort': 1}
socket.s... | 0 | 0 | 0 | 0 | 0 | 329 | 0 | 0 | 23 |
07c14b05077c70e13464049d9d52342a04b1dd15 | 22,514 | py | Python | asn1tools/codecs/xer.py | JoelWilloughby/asn1tools | e495bf2c40089c09c950985eccf9633ba2aa30b6 | [
"MIT"
] | 1 | 2020-03-31T07:36:57.000Z | 2020-03-31T07:36:57.000Z | asn1tools/codecs/xer.py | ryanhz/asn1tools | e495bf2c40089c09c950985eccf9633ba2aa30b6 | [
"MIT"
] | null | null | null | asn1tools/codecs/xer.py | ryanhz/asn1tools | e495bf2c40089c09c950985eccf9633ba2aa30b6 | [
"MIT"
] | null | null | null | """XML Encoding Rules (XER) codec.
"""
| 27.289697 | 89 | 0.567514 | """XML Encoding Rules (XER) codec.
"""
import time
import sys
from xml.etree import ElementTree
import binascii
import datetime
from ..parser import EXTENSION_MARKER
from . import EncodeError
from . import DecodeError
from . import compiler
from . import format_or
from . import utc_time_to_datetime
from . import utc... | 0 | 34 | 0 | 20,355 | 0 | 695 | 0 | 98 | 1,252 |
3745f5e5fa0c77bd411057ea744ee2db6a054fcf | 25 | py | Python | foo.py | spderosso/try-gitless | 1cba16e2cf7c0a1b703c7c8e6960e641ff84561c | [
"MIT"
] | null | null | null | foo.py | spderosso/try-gitless | 1cba16e2cf7c0a1b703c7c8e6960e641ff84561c | [
"MIT"
] | null | null | null | foo.py | spderosso/try-gitless | 1cba16e2cf7c0a1b703c7c8e6960e641ff84561c | [
"MIT"
] | null | null | null | # Test file foo.py
exit
| 6.25 | 18 | 0.68 | # Test file foo.py
exit
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
91462b5892791eb59bc01dbefd00fdb25c428e9c | 3,840 | py | Python | ejercicios/alarma.py | carlosviveros/Soluciones | 115f4fa929c7854ca497e4c994352adc64565456 | [
"MIT"
] | 4 | 2021-12-14T23:51:25.000Z | 2022-03-24T11:14:00.000Z | ejercicios/alarma.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | null | null | null | ejercicios/alarma.py | leugimkm/Soluciones | d71601c8d9b5e86e926f48d9e49462af8a956b6d | [
"MIT"
] | 5 | 2021-11-10T06:49:50.000Z | 2022-03-24T01:42:28.000Z | """AyudaEnPython: https://www.facebook.com/groups/ayudapython
Crear una aplicacin de consola que permita al usuario programar alarmas
de tiempo. Para realizar esta aplicacin deber presentarle al usuario
las siguientes opciones: ver alarmas activas, agregar nueva alarma,
agregar nueva alarma con tiempo aleatorio, edita... | 32 | 75 | 0.61224 | """AyudaEnPython: https://www.facebook.com/groups/ayudapython
Crear una aplicación de consola que permita al usuario programar alarmas
de tiempo. Para realizar esta aplicación deberá presentarle al usuario
las siguientes opciones: ver alarmas activas, agregar nueva alarma,
agregar nueva alarma con tiempo aleatorio, ed... | 24 | 0 | 0 | 459 | 0 | 925 | 0 | 16 | 206 |
ca0538382008ecacbc38992d84daa88a595e2acd | 200 | py | Python | test.py | c4s4/http1 | ab2610823f060632227f9ca60e98320800b5c5be | [
"Apache-2.0"
] | 1 | 2019-11-30T14:24:25.000Z | 2019-11-30T14:24:25.000Z | test.py | c4s4/http1 | ab2610823f060632227f9ca60e98320800b5c5be | [
"Apache-2.0"
] | 2 | 2015-04-25T08:14:49.000Z | 2015-04-26T09:08:08.000Z | test.py | c4s4/http1 | ab2610823f060632227f9ca60e98320800b5c5be | [
"Apache-2.0"
] | 1 | 2015-04-25T09:12:59.000Z | 2015-04-25T09:12:59.000Z | import http1
response = http1.request('http://www.google.com')
print(f'Status: {response.status} ({response.message})')
print(f'Headers: {response.headers}')
#print(f'Body: {response.body.strip()}')
| 28.571429 | 56 | 0.715 | import http1
response = http1.request('http://www.google.com')
print(f'Status: {response.status} ({response.message})')
print(f'Headers: {response.headers}')
#print(f'Body: {response.body.strip()}')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6e8d76559556aad67a766a1b969129888077d6d4 | 275 | py | Python | src/IceRayPy/type/basic.py | dmilos/IceRay | 4e01f141363c0d126d3c700c1f5f892967e3d520 | [
"MIT-0"
] | 2 | 2020-09-04T12:27:15.000Z | 2022-01-17T14:49:40.000Z | src/IceRayPy/type/basic.py | dmilos/IceRay | 4e01f141363c0d126d3c700c1f5f892967e3d520 | [
"MIT-0"
] | null | null | null | src/IceRayPy/type/basic.py | dmilos/IceRay | 4e01f141363c0d126d3c700c1f5f892967e3d520 | [
"MIT-0"
] | 1 | 2020-09-04T12:27:52.000Z | 2020-09-04T12:27:52.000Z | import ctypes
print( '<' + __name__ + ' file=\'' + __file__ + '\'>' )
Scalar = ctypes.c_double
Unsigned = ctypes.c_uint
Integer = ctypes.c_int
Size = ctypes.c_size_t
VoidPtr = ctypes.c_void_p
print( '</' + __name__ + ' file=\'' + __file__ + '\'>' )
| 22.916667 | 59 | 0.578182 | import ctypes
print( '<' + __name__ + ' file=\'' + __file__ + '\'>' )
Scalar = ctypes.c_double
Unsigned = ctypes.c_uint
Integer = ctypes.c_int
Size = ctypes.c_size_t
VoidPtr = ctypes.c_void_p
print( '</' + __name__ + ' file=\'' + __file__ + '\'>' )
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
90531b3709e7fbc87192a474ce0b31ea346b07bd | 328 | py | Python | data/tasks.py | iColdPlayer/kasir | 5c83c201a6e5e3bc0ca402ed4bb824ea85e02e38 | [
"MIT"
] | 29 | 2019-12-04T16:21:14.000Z | 2022-03-02T23:27:59.000Z | data/tasks.py | mejeng/kasir | cc6f9158b61c0cb45078ddf798af9588c8771311 | [
"MIT"
] | 13 | 2019-11-29T18:12:41.000Z | 2021-06-27T02:01:07.000Z | data/tasks.py | mejeng/kasir | cc6f9158b61c0cb45078ddf798af9588c8771311 | [
"MIT"
] | 14 | 2019-12-04T16:21:15.000Z | 2022-02-24T07:05:12.000Z | from __future__ import absolute_import, unicode_literals | 17.263158 | 56 | 0.737805 | from __future__ import absolute_import, unicode_literals
from celery import shared_task
from .models import Stock
@shared_task
def add(x, y):
return x + y
@shared_task
def mul(x, y):
return x * y
@shared_task
def xsum(numbers):
return sum(numbers)
@shared_task
def count_stock():
return Stock.objects... | 0 | 123 | 0 | 0 | 0 | 0 | 0 | 13 | 136 |
f460e837d85eacf6d48a5e4585be3a3af165caaf | 357 | py | Python | stable_baselines3/common/pymlmc/__init__.py | atishdixit16/stable-baselines3 | 0188d6a7b0c905693f41a68484d71b02faee6146 | [
"MIT"
] | null | null | null | stable_baselines3/common/pymlmc/__init__.py | atishdixit16/stable-baselines3 | 0188d6a7b0c905693f41a68484d71b02faee6146 | [
"MIT"
] | null | null | null | stable_baselines3/common/pymlmc/__init__.py | atishdixit16/stable-baselines3 | 0188d6a7b0c905693f41a68484d71b02faee6146 | [
"MIT"
] | null | null | null |
__author__ = 'Patrick Farrell'
__credits__ = ['Patrick Farrell', 'Mike Giles']
__license__ = 'GPL-3'
__maintainer__ = 'Patrick Farrell'
__email__ = 'patrick.farrell@maths.ox.ac.uk'
| 27.461538 | 50 | 0.753501 |
__author__ = 'Patrick Farrell'
__credits__ = ['Patrick Farrell', 'Mike Giles']
__license__ = 'GPL-3'
__maintainer__ = 'Patrick Farrell'
__email__ = 'patrick.farrell@maths.ox.ac.uk'
from .mlmc_plot_100 import mlmc_plot_100
from .mlmc_plot import mlmc_plot
from .mlmc_test import mlmc_test
from .mlmc_fn i... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 49 | 111 |
e73d97418d8c9a7091446d2eaf9ad35aced734fb | 2,753 | py | Python | player/models.py | DevRx28/dbms-api | 5685555c7c8b6621dc03c4092606c1972b6afda1 | [
"Apache-2.0"
] | null | null | null | player/models.py | DevRx28/dbms-api | 5685555c7c8b6621dc03c4092606c1972b6afda1 | [
"Apache-2.0"
] | null | null | null | player/models.py | DevRx28/dbms-api | 5685555c7c8b6621dc03c4092606c1972b6afda1 | [
"Apache-2.0"
] | null | null | null | # from dbapi.settings import *
# Create your models here.
| 34.848101 | 60 | 0.682165 | from django.db import models
# from dbapi.settings import *
# Create your models here.
class PlayerManager(models.Manager):
def get_by_id(self, id):
queryset = self.get_queryset().filter(id=id)
if queryset.count() == 1:
return queryset.first()
return None
def f... | 0 | 0 | 0 | 2,609 | 0 | 0 | 0 | 7 | 73 |
80401d8a668db9453bfaaf0b916b26e67477ae32 | 5,545 | py | Python | src/ctrm/learning/model/cvae.py | omron-sinicx/ctrm | 83e7fe4abb8ad8559bfb6e64170878575a03fd20 | [
"MIT"
] | 8 | 2022-01-25T08:04:32.000Z | 2022-02-20T10:47:40.000Z | src/ctrm/learning/model/cvae.py | omron-sinicx/ctrm | 83e7fe4abb8ad8559bfb6e64170878575a03fd20 | [
"MIT"
] | null | null | null | src/ctrm/learning/model/cvae.py | omron-sinicx/ctrm | 83e7fe4abb8ad8559bfb6e64170878575a03fd20 | [
"MIT"
] | null | null | null | """implementation of F_CTRM
Author: Keisuke Okumura / Ryo Yonetani
Affiliation: TokyoTech & OSX / OSX
"""
from __future__ import annotations
import torch.nn as nn
| 32.052023 | 79 | 0.571867 | """implementation of F_CTRM
Author: Keisuke Okumura / Ryo Yonetani
Affiliation: TokyoTech & OSX / OSX
"""
from __future__ import annotations
from dataclasses import dataclass
from functools import reduce
from operator import add
from typing import Optional
import torch
import torch.nn as nn
from torch.distributions.... | 0 | 5,123 | 0 | 0 | 0 | 0 | 0 | 77 | 180 |
8e461b9f5e80c2dac77fcfd40a02f888de0595da | 246 | py | Python | general/save_float_image.py | miroslavradojevic/python-snippets | 753e1c15dc077d3bcf5de4fd5d3a675daf0da27c | [
"MIT"
] | null | null | null | general/save_float_image.py | miroslavradojevic/python-snippets | 753e1c15dc077d3bcf5de4fd5d3a675daf0da27c | [
"MIT"
] | null | null | null | general/save_float_image.py | miroslavradojevic/python-snippets | 753e1c15dc077d3bcf5de4fd5d3a675daf0da27c | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import numpy as np
import cv2
if __name__ == '__main__':
arr = np.random.rand(512, 512) * 255
print("arr {} | {} -- {} | {}".format(arr.shape, np.amin(arr), np.amax(arr), arr.dtype))
cv2.imwrite("arr.jpg", arr)
| 27.333333 | 92 | 0.601626 | #!/usr/bin/env python
import numpy as np
import cv2
if __name__ == '__main__':
arr = np.random.rand(512, 512) * 255
print("arr {} | {} -- {} | {}".format(arr.shape, np.amin(arr), np.amax(arr), arr.dtype))
cv2.imwrite("arr.jpg", arr)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
575e8126c17a3433ed1ce77ca87e613d080d64f9 | 1,179 | py | Python | knn.py | enesdemirag/music-genre-classification | deb3ff729ae159c3a9eb7433ba5f35ac32fbe3d1 | [
"MIT"
] | null | null | null | knn.py | enesdemirag/music-genre-classification | deb3ff729ae159c3a9eb7433ba5f35ac32fbe3d1 | [
"MIT"
] | 1 | 2020-11-30T20:10:01.000Z | 2020-11-30T20:10:01.000Z | knn.py | enesdemirag/music-genre-classification | deb3ff729ae159c3a9eb7433ba5f35ac32fbe3d1 | [
"MIT"
] | null | null | null | # In this script Kth Nearest Neighbor (Knn) machine learning algorithm used on dataset.csv
# This dataset consist of 1000 samples with 26 features each
# https://scikit-learn.org/stable/modules/neighbors.html
import numpy as np
from utils import load_analytic_data, save_sklearn_model
from sklearn.model_selection impor... | 31.864865 | 90 | 0.793045 | # In this script Kth Nearest Neighbor (Knn) machine learning algorithm used on dataset.csv
# This dataset consist of 1000 samples with 26 features each
# https://scikit-learn.org/stable/modules/neighbors.html
import numpy as np
from utils import load_analytic_data, save_sklearn_model
from sklearn.model_selection impor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a74dc77ce350ad68add9d49a8b8ee049fe32d6ad | 11,391 | py | Python | experiment/Heuristic_based/pooing_guided.py | predoodl/predoo | 3a0ba0515373744364a0dd9daf4251867b39650c | [
"MIT"
] | 14 | 2021-03-27T06:19:39.000Z | 2022-03-07T01:29:42.000Z | experiment/Heuristic_based/pooing_guided.py | predoodl/predoo | 3a0ba0515373744364a0dd9daf4251867b39650c | [
"MIT"
] | null | null | null | experiment/Heuristic_based/pooing_guided.py | predoodl/predoo | 3a0ba0515373744364a0dd9daf4251867b39650c | [
"MIT"
] | null | null | null | import numpy as np
a=[]
a1 = 0.0001 * np.ones((1, 2, 4, 4), np.float64)
a2 = 0.000001 * np.ones((1, 2, 4, 4), np.float64)
a3 = 0.00000001 * np.ones((1, 2, 4, 4), np.float64)
a.append(a1)
a.append(a2)
a.append(a3)
if __name__=='__main__':
corpus = createCorpus(1000)
# Max_guided(corpus, "E:\Dtype_t... | 32.269122 | 153 | 0.595558 | import numpy as np
import tensorflow as tf
from tensorflow import keras
from tensorflow.keras import layers
import csv
import time
from queue import Queue
import math
a=[]
a1 = 0.0001 * np.ones((1, 2, 4, 4), np.float64)
a2 = 0.000001 * np.ones((1, 2, 4, 4), np.float64)
a3 = 0.00000001 * np.ones((1, 2, 4, 4),... | 774 | 0 | 0 | 0 | 0 | 9,910 | 0 | -6 | 340 |
7fc1b69712b48076e1340be47e7045a99ba6ac20 | 1,813 | py | Python | defs_regression/xgb.py | BrutishGuy/hyperband-astcvs | d52562d64d2b0ba63f4bba7022114da7bb9e0281 | [
"BSD-2-Clause"
] | null | null | null | defs_regression/xgb.py | BrutishGuy/hyperband-astcvs | d52562d64d2b0ba63f4bba7022114da7bb9e0281 | [
"BSD-2-Clause"
] | null | null | null | defs_regression/xgb.py | BrutishGuy/hyperband-astcvs | d52562d64d2b0ba63f4bba7022114da7bb9e0281 | [
"BSD-2-Clause"
] | null | null | null | "function (and parameter space) definitions for hyperband"
"binary classification with XGBoost"
# a dict with x_train, y_train, x_test, y_test
#
trees_per_iteration = 5
space = {
'learning_rate': hp.choice( 'lr', [
'default',
hp.uniform( 'lr_', 0.01, 0.2 )
]),
'max_depth': hp.choice( 'md', [
... | 22.382716 | 68 | 0.594043 | "function (and parameter space) definitions for hyperband"
"binary classification with XGBoost"
from common_defs import *
# a dict with x_train, y_train, x_test, y_test
from load_data_for_regression import data
from xgboost import XGBRegressor as XGB
#
trees_per_iteration = 5
space = {
'learning_r... | 0 | 0 | 0 | 0 | 0 | 435 | 0 | 42 | 123 |
6f6c6d03e03b36532023680f50fe9b1064b11e82 | 672 | py | Python | src/trains/urls.py | LikimiaD/LikimiaD_project | 4967aeb5f513002abd57ae54849020f089fb0bec | [
"MIT"
] | null | null | null | src/trains/urls.py | LikimiaD/LikimiaD_project | 4967aeb5f513002abd57ae54849020f089fb0bec | [
"MIT"
] | null | null | null | src/trains/urls.py | LikimiaD/LikimiaD_project | 4967aeb5f513002abd57ae54849020f089fb0bec | [
"MIT"
] | null | null | null | from django.urls import path
urlpatterns = [
#path('', home, name = 'home'),
path('', TrainListView.as_view(), name = 'home'),
# The name of the function that allows you to generate the address dynamically
path('detail/<int:pk>/', TrainDetailView.as_view(), name = 'detail'),
path('detail/<int:pk>/'... | 39.529412 | 82 | 0.650298 | from django.urls import path
from trains.views import *
urlpatterns = [
#path('', home, name = 'home'),
path('', TrainListView.as_view(), name = 'home'),
# The name of the function that allows you to generate the address dynamically
path('detail/<int:pk>/', TrainDetailView.as_view(), name = 'detail'),... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 23 |
1a91ddab7ed60e55d202c1cd84ef4067715b3371 | 2,300 | py | Python | pycrust/tools/mako.py | alertedsnake/pycrust | ceb5da9ff92b892adc9a3057afdfe84f3e529313 | [
"MIT"
] | 1 | 2019-03-25T05:33:30.000Z | 2019-03-25T05:33:30.000Z | pycrust/tools/mako.py | iwannaPython/pycrust | ceb5da9ff92b892adc9a3057afdfe84f3e529313 | [
"MIT"
] | null | null | null | pycrust/tools/mako.py | iwannaPython/pycrust | ceb5da9ff92b892adc9a3057afdfe84f3e529313 | [
"MIT"
] | 1 | 2019-03-25T05:33:11.000Z | 2019-03-25T05:33:11.000Z | """
Mako Templates
--------------
Mako templating code was based on the code and discussion at
http://tools.cherrypy.org/wiki/Mako
To use the Mako renderer:
cherrypy.tools.mako = cherrypy.Tool('on_start_resource',
MakoLoader(directories=['/path/to/templates']))
Then in your h... | 28.75 | 94 | 0.593043 | """
Mako Templates
--------------
Mako templating code was based on the code and discussion at
http://tools.cherrypy.org/wiki/Mako
To use the Mako renderer:
cherrypy.tools.mako = cherrypy.Tool('on_start_resource',
MakoLoader(directories=['/path/to/templates']))
Then in your h... | 0 | 0 | 0 | 1,680 | 0 | 0 | 0 | 3 | 139 |
a50f82ff1fb6df2ed0a4489725b3568ae23502d0 | 8,950 | py | Python | offline/assistant.py | iseaboy/ok_google | f87bf62b012f8d186da7e4575064ae8e986216e9 | [
"Apache-2.0"
] | 8 | 2017-05-29T03:11:59.000Z | 2018-08-28T02:35:37.000Z | offline/assistant.py | iseaboy/ok_google | f87bf62b012f8d186da7e4575064ae8e986216e9 | [
"Apache-2.0"
] | 2 | 2017-05-12T23:43:56.000Z | 2018-05-31T13:19:37.000Z | offline/assistant.py | iseaboy/ok_google | f87bf62b012f8d186da7e4575064ae8e986216e9 | [
"Apache-2.0"
] | 3 | 2017-09-20T01:53:13.000Z | 2018-04-24T04:54:03.000Z | # Copyright (C) 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 38.247863 | 79 | 0.67095 | # Copyright (C) 2017 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 0 | 0 | 0 | 8,055 | 0 | 0 | 0 | 82 | 91 |
0aed6119e19574f31d9d53692882645b330f888a | 9,360 | py | Python | pyautonifty/renderer.py | Markichu/PythonAutoNifty | ab646601058297b6bfe14332f17b836ee3dfbe69 | [
"MIT"
] | null | null | null | pyautonifty/renderer.py | Markichu/PythonAutoNifty | ab646601058297b6bfe14332f17b836ee3dfbe69 | [
"MIT"
] | 6 | 2021-11-24T00:48:57.000Z | 2022-03-17T07:51:36.000Z | pyautonifty/renderer.py | Markichu/PythonAutoNifty | ab646601058297b6bfe14332f17b836ee3dfbe69 | [
"MIT"
] | null | null | null | import os
# Hide the Pygame support message
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = str()
| 45.658537 | 123 | 0.588248 | import datetime
import os
import time
import numpy as np
from PIL import Image
# Hide the Pygame support message
os.environ['PYGAME_HIDE_SUPPORT_PROMPT'] = str()
import pygame
from .constants import BLACK, WHITE, DRAWING_SIZE, TITLE_BAR_HEIGHT, BORDER_WIDTH
from .helper_fns import get_bezier_curve, alpha_blend
cla... | 0 | 0 | 0 | 9,022 | 0 | 0 | 0 | 65 | 178 |
70768d686e0a1a459230775315038d99092f820f | 59,179 | py | Python | XGB_Model.py | whitelightning450/Machine-Learning-Water-Systems-Model | 9e07dd2402ef614dcf404cd28bee518ced7047ad | [
"MIT"
] | null | null | null | XGB_Model.py | whitelightning450/Machine-Learning-Water-Systems-Model | 9e07dd2402ef614dcf404cd28bee518ced7047ad | [
"MIT"
] | 6 | 2022-03-28T17:47:04.000Z | 2022-03-28T20:49:51.000Z | XGB_Model.py | whitelightning450/Machine-Learning-Water-Systems-Model | 9e07dd2402ef614dcf404cd28bee518ced7047ad | [
"MIT"
] | 2 | 2022-02-22T19:48:46.000Z | 2022-03-28T03:51:03.000Z | #Script developed by Ryan C. Johnson, University of Alabama for the
#Salt Lake City Climate Vulnerability Project.
#Date: 3/4/2022
# coding: utf-8
import xgboost as xgb
from xgboost.sklearn import XGBRegressor
from xgboost import cv
#Developing the XGBoost_Tuning package
... | 40.31267 | 248 | 0.6102 | #Script developed by Ryan C. Johnson, University of Alabama for the
#Salt Lake City Climate Vulnerability Project.
#Date: 3/4/2022
# coding: utf-8
import xgboost as xgb
from xgboost.sklearn import XGBRegressor
from xgboost import cv
import time
import pickle
import joblib
from pickle import dump
import numpy as np
im... | 0 | 0 | 0 | 57,818 | 0 | 0 | 0 | 271 | 663 |
4cdc028ab2ad2c9e2b0be22d389a8f86ff60d74f | 1,197 | py | Python | client/verta/verta/_swagger/_public/modeldb/versioning/model/VersioningPathDatasetComponentBlob.py | CaptEmulation/modeldb | 78b10aca553e386554f9740db63466b1cf013a1a | [
"Apache-2.0"
] | 835 | 2017-02-08T20:14:24.000Z | 2020-03-12T17:37:49.000Z | client/verta/verta/_swagger/_public/modeldb/versioning/model/VersioningPathDatasetComponentBlob.py | CaptEmulation/modeldb | 78b10aca553e386554f9740db63466b1cf013a1a | [
"Apache-2.0"
] | 651 | 2019-04-18T12:55:07.000Z | 2022-03-31T23:45:09.000Z | client/verta/verta/_swagger/_public/modeldb/versioning/model/VersioningPathDatasetComponentBlob.py | CaptEmulation/modeldb | 78b10aca553e386554f9740db63466b1cf013a1a | [
"Apache-2.0"
] | 170 | 2017-02-13T14:49:22.000Z | 2020-02-19T17:59:12.000Z | # THIS FILE IS AUTO-GENERATED. DO NOT EDIT
| 24.9375 | 96 | 0.614871 | # THIS FILE IS AUTO-GENERATED. DO NOT EDIT
from verta._swagger.base_type import BaseType
class VersioningPathDatasetComponentBlob(BaseType):
def __init__(self, path=None, size=None, last_modified_at_source=None, sha256=None, md5=None):
required = {
"path": False,
"size": False,
"last_modified_a... | 0 | 510 | 0 | 575 | 0 | 0 | 0 | 24 | 45 |
7a18c524a815806fa4b942a9a18257b636f44285 | 26,557 | py | Python | app/settings.py | vpont/DemonEditor | 8fee5033a49e21f960d89d6ce9101b0f84a8d354 | [
"MIT"
] | null | null | null | app/settings.py | vpont/DemonEditor | 8fee5033a49e21f960d89d6ce9101b0f84a8d354 | [
"MIT"
] | null | null | null | app/settings.py | vpont/DemonEditor | 8fee5033a49e21f960d89d6ce9101b0f84a8d354 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# The MIT License (MIT)
#
# Copyright (c) 2018-2022 Dmitriy Yefremov
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitat... | 31.317217 | 119 | 0.661633 | # -*- coding: utf-8 -*-
#
# The MIT License (MIT)
#
# Copyright (c) 2018-2022 Dmitriy Yefremov
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitat... | 0 | 15,337 | 0 | 9,281 | 0 | 0 | 0 | 2 | 293 |
f0500e91bd245db4ab04b7cb09749c51d33607a3 | 549 | py | Python | resources/migrations/0002_auto_20201222_0951.py | alimustafashah/core | 7280c4ca2e88d700ad35af05fbe0766e9ad8e5b4 | [
"MIT"
] | null | null | null | resources/migrations/0002_auto_20201222_0951.py | alimustafashah/core | 7280c4ca2e88d700ad35af05fbe0766e9ad8e5b4 | [
"MIT"
] | 24 | 2021-04-29T18:58:51.000Z | 2021-08-06T23:07:03.000Z | resources/migrations/0002_auto_20201222_0951.py | alimustafashah/core | 7280c4ca2e88d700ad35af05fbe0766e9ad8e5b4 | [
"MIT"
] | 2 | 2021-04-29T23:03:55.000Z | 2021-04-29T23:43:52.000Z | # Generated by Django 3.1.4 on 2020-12-22 09:51
| 22.875 | 58 | 0.575592 | # Generated by Django 3.1.4 on 2020-12-22 09:51
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("resources", "0001_initial"),
]
operations = [
migrations.AlterField(
model_name="jobposting",
name="expiry_date",
... | 0 | 0 | 0 | 435 | 0 | 0 | 0 | 19 | 46 |
132a2bbebdec9db189b8912b27d98ad701f033a6 | 1,286 | py | Python | zhihu/scrapy_redis/BloomfilterOnRedis.py | jfzhang95/zhihu_spider | bf01e1c584302750a749401118291c909dea0d28 | [
"Apache-2.0"
] | null | null | null | zhihu/scrapy_redis/BloomfilterOnRedis.py | jfzhang95/zhihu_spider | bf01e1c584302750a749401118291c909dea0d28 | [
"Apache-2.0"
] | null | null | null | zhihu/scrapy_redis/BloomfilterOnRedis.py | jfzhang95/zhihu_spider | bf01e1c584302750a749401118291c909dea0d28 | [
"Apache-2.0"
] | 1 | 2020-05-16T06:56:59.000Z | 2020-05-16T06:56:59.000Z | # -*- coding: utf-8 -*-
| 29.227273 | 70 | 0.550544 | # -*- coding: utf-8 -*-
class SimpleHash(object):
def __init__(self, cap, seed):
self.cap = cap
self.seed = seed
def hash(self, value):
ret = 0
for i in range(len(value)):
ret += self.seed * ret + ord(value[i])
return (self.cap - 1) & ret
class BloomFilt... | 36 | 0 | 0 | 1,202 | 0 | 0 | 0 | 0 | 46 |
993fb1bdcfe85063571e39e15677dc3700dd5abe | 363 | py | Python | algs-py/AssemblyLineScheduling.py | kliner/funCode | e4ba2e6484478e4d33746393e3163fa36fffbb9e | [
"MIT"
] | 1 | 2017-02-13T14:46:52.000Z | 2017-02-13T14:46:52.000Z | algs-py/AssemblyLineScheduling.py | kliner/funCode | e4ba2e6484478e4d33746393e3163fa36fffbb9e | [
"MIT"
] | null | null | null | algs-py/AssemblyLineScheduling.py | kliner/funCode | e4ba2e6484478e4d33746393e3163fa36fffbb9e | [
"MIT"
] | null | null | null |
a = [[4, 5, 3, 2], [2, 10, 1, 4]]
t = [[0, 7, 4, 5], [0, 9, 2, 8]]
e = [10, 12]
x = [18, 7]
print carAssembly(a,t,e,x)
| 24.2 | 89 | 0.421488 | def carAssembly(a, t, e, x):
n = len(a[0])
T1, T2 = e[0]+a[0][0], e[1]+a[1][0]
for i in xrange(1, n):
T1, T2 = min(T1+a[0][i], T2+a[0][i]+t[1][i]), min(T1+a[1][i]+t[0][i], T2+a[1][i])
return min(T1+x[0], T2+x[1])
a = [[4, 5, 3, 2], [2, 10, 1, 4]]
t = [[0, 7, 4, 5], [0, 9, 2, 8]]
e = [10, 12... | 0 | 0 | 0 | 0 | 0 | 215 | 0 | 0 | 22 |
4a7263faf5239c213d9653a2d19c403cc06c3d0a | 1,487 | py | Python | cms/test_utils/project/pluginapp/plugins/manytomany_rel/models.py | Mario-Kart-Felix/django-cms | 6d68439fe7fd59d000f99e27c1f2135a3f9c816a | [
"BSD-3-Clause"
] | 1 | 2021-02-11T16:20:01.000Z | 2021-02-11T16:20:01.000Z | cms/test_utils/project/pluginapp/plugins/manytomany_rel/models.py | rpep/django-cms | 53dddb106f45963f9f8393d434b4313fa3bbdf54 | [
"BSD-3-Clause"
] | 2 | 2020-10-28T13:48:53.000Z | 2020-10-28T13:52:48.000Z | cms/test_utils/project/pluginapp/plugins/manytomany_rel/models.py | rpep/django-cms | 53dddb106f45963f9f8393d434b4313fa3bbdf54 | [
"BSD-3-Clause"
] | 1 | 2021-07-26T14:43:54.000Z | 2021-07-26T14:43:54.000Z |
###
| 24.783333 | 88 | 0.708137 | from django.db import models
from cms.models import CMSPlugin
class Article(models.Model):
title = models.CharField(max_length=50)
section = models.ForeignKey('Section', on_delete=models.CASCADE)
def __str__(self):
return u"%s -- %s" % (self.title, self.section)
class Section(models.Model):
... | 0 | 0 | 0 | 1,250 | 0 | 0 | 0 | 18 | 206 |
ebd81cf09d811b53d13f71a0ed438a98ed125be8 | 670 | py | Python | packages/postgres-database/src/simcore_postgres_database/migration/versions/bb305829cf83_add_groups_thumbnail.py | colinRawlings/osparc-simcore | bf2f18d5bc1e574d5f4c238d08ad15156184c310 | [
"MIT"
] | 25 | 2018-04-13T12:44:12.000Z | 2022-03-12T15:01:17.000Z | packages/postgres-database/src/simcore_postgres_database/migration/versions/bb305829cf83_add_groups_thumbnail.py | colinRawlings/osparc-simcore | bf2f18d5bc1e574d5f4c238d08ad15156184c310 | [
"MIT"
] | 2,553 | 2018-01-18T17:11:55.000Z | 2022-03-31T16:26:40.000Z | packages/postgres-database/src/simcore_postgres_database/migration/versions/bb305829cf83_add_groups_thumbnail.py | mrnicegyu11/osparc-simcore | b6fa6c245dbfbc18cc74a387111a52de9b05d1f4 | [
"MIT"
] | 20 | 2018-01-18T19:45:33.000Z | 2022-03-29T07:08:47.000Z | """add groups thumbnail
Revision ID: bb305829cf83
Revises: 1ca14c33e65c
Create Date: 2020-06-02 12:06:21.302890+00:00
"""
# revision identifiers, used by Alembic.
revision = 'bb305829cf83'
down_revision = '1ca14c33e65c'
branch_labels = None
depends_on = None
| 23.103448 | 79 | 0.69403 | """add groups thumbnail
Revision ID: bb305829cf83
Revises: 1ca14c33e65c
Create Date: 2020-06-02 12:06:21.302890+00:00
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = 'bb305829cf83'
down_revision = '1ca14c33e65c'
branch_labels = None
depends_on = None
def upgr... | 0 | 0 | 0 | 0 | 0 | 312 | 0 | 3 | 90 |
e5703b27088761083d4b5f7db98e594367b431f1 | 1,805 | py | Python | fooltrader/proxy/__init__.py | renwenduan/fooltrader | c9ede56d6ce4f952618d14e0ec28479584ad9377 | [
"MIT"
] | null | null | null | fooltrader/proxy/__init__.py | renwenduan/fooltrader | c9ede56d6ce4f952618d14e0ec28479584ad9377 | [
"MIT"
] | null | null | null | fooltrader/proxy/__init__.py | renwenduan/fooltrader | c9ede56d6ce4f952618d14e0ec28479584ad9377 | [
"MIT"
] | null | null | null | import os
#
if not os.path.exists(get_proxy_dir()):
os.makedirs(get_proxy_dir())
http_proxy_df = get_http_proxy()
https_proxy_df = get_https_proxy()
socks_proxy_df = get_socks_proxy()
| 24.391892 | 64 | 0.73518 | import os
import pandas as pd
from fooltrader import settings
# 获取存档的代理列表
def get_proxy_dir():
return os.path.join(settings.FOOLTRADER_STORE_PATH, "proxy")
def get_http_proxy_path():
return os.path.join(get_proxy_dir(), "http_proxy.csv")
def get_https_proxy_path():
return os.path.join(get_proxy_dir... | 27 | 0 | 0 | 0 | 0 | 1,309 | 0 | 8 | 276 |
5017718e0c1ca9ca1a3baa72f5f8d88907c9163a | 285 | py | Python | examples/idioms/programs/126.2137-multiple-return-values.py | laowantong/paroxython | 4626798a60eeaa765dbfab9e63e04030c9fcb1d0 | [
"MIT"
] | 31 | 2020-05-02T13:34:26.000Z | 2021-06-06T17:25:52.000Z | examples/idioms/programs/126.2137-multiple-return-values.py | laowantong/paroxython | 4626798a60eeaa765dbfab9e63e04030c9fcb1d0 | [
"MIT"
] | 108 | 2019-11-18T19:41:52.000Z | 2022-03-18T13:58:17.000Z | examples/idioms/programs/126.2137-multiple-return-values.py | laowantong/paroxython | 4626798a60eeaa765dbfab9e63e04030c9fcb1d0 | [
"MIT"
] | 4 | 2020-05-19T08:57:44.000Z | 2020-09-21T08:53:46.000Z | """Multiple return values.
Write a function _foo that returns a _string and a _boolean value.
Source: MLKo
"""
# Implementation author: Oldboy
# Created on 2017-10-28T09:19:40.922778Z
# Last modified on 2017-10-28T09:19:40.922778Z
# Version 1
| 17.8125 | 66 | 0.726316 | """Multiple return values.
Write a function _foo that returns a _string and a _boolean value.
Source: MLKo
"""
# Implementation author: Oldboy
# Created on 2017-10-28T09:19:40.922778Z
# Last modified on 2017-10-28T09:19:40.922778Z
# Version 1
def foo():
return "string", True
| 0 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 23 |
389425fb7c65aca7aa58902c7aab5ce0b22535af | 964 | py | Python | curate/migrations/0040_auto_20190314_0314.py | JoeAmmar/curate_science | b1ae49721b06c4d9377e59b5c3f9e636786f7090 | [
"MIT"
] | 14 | 2018-10-21T11:52:01.000Z | 2022-01-24T21:38:05.000Z | curate/migrations/0040_auto_20190314_0314.py | JoeAmmar/curate_science | b1ae49721b06c4d9377e59b5c3f9e636786f7090 | [
"MIT"
] | 110 | 2018-10-31T07:56:17.000Z | 2022-01-26T15:44:25.000Z | curate/migrations/0040_auto_20190314_0314.py | JoeAmmar/curate_science | b1ae49721b06c4d9377e59b5c3f9e636786f7090 | [
"MIT"
] | 7 | 2019-07-01T08:48:47.000Z | 2020-04-04T20:54:40.000Z | # Generated by Django 2.1.7 on 2019-03-14 03:14
| 30.125 | 127 | 0.624481 | # Generated by Django 2.1.7 on 2019-03-14 03:14
import autoslug.fields
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('invitations', '0003_auto_20151126_1523'),
('curate', '0039_auto_20190307_0449'),
]
o... | 0 | 0 | 0 | 794 | 0 | 0 | 0 | 31 | 90 |
f168c0ae935a62fb4869b37289ccf95b0cd09327 | 3,144 | py | Python | gp.py | JLustig/python-gp | 2628e31dbed594ef8402a25f61a950af9fa7b544 | [
"MIT"
] | null | null | null | gp.py | JLustig/python-gp | 2628e31dbed594ef8402a25f61a950af9fa7b544 | [
"MIT"
] | null | null | null | gp.py | JLustig/python-gp | 2628e31dbed594ef8402a25f61a950af9fa7b544 | [
"MIT"
] | null | null | null | import numpy as np
from scipy . spatial . distance import cdist
import matplotlib.pyplot as plt
import math
#Prior
#Create a GP-prior with a squared exponential co-variance function.
xdata=[]
x=np.arange(-math.pi,math.pi+0.1,0.05)
x=np.array(x)
priorMu=np.zeros(len(x))
#Sample from this prior and visualise the samp... | 29.942857 | 100 | 0.681298 | import pylab as pb
import numpy as np
from math import pi
from scipy . spatial . distance import cdist
from scipy.stats import multivariate_normal
import matplotlib.pyplot as plt
import math
def kernel(xi,xj,sigma,lengthscale):
return (np.power(sigma,2)*np.exp(-np.power(xi-xj,2)/np.power(lengthscale,2)))
def plot... | 0 | 0 | 0 | 0 | 0 | 2,025 | 0 | 17 | 181 |
a1be313cfc22f84c348fd7c846cdebf3da02e117 | 402 | py | Python | archives/modules/socket_echo_server.py | mcxiaoke/python-labs | 61c0a1f91008ba82fc2f5a5deb19e60aec9df960 | [
"Apache-2.0"
] | 7 | 2016-07-08T10:53:13.000Z | 2021-07-20T00:20:10.000Z | archives/modules/socket_echo_server.py | mcxiaoke/python-labs | 61c0a1f91008ba82fc2f5a5deb19e60aec9df960 | [
"Apache-2.0"
] | 1 | 2021-05-11T05:20:18.000Z | 2021-05-11T05:20:18.000Z | archives/modules/socket_echo_server.py | mcxiaoke/python-labs | 61c0a1f91008ba82fc2f5a5deb19e60aec9df960 | [
"Apache-2.0"
] | 7 | 2016-10-31T06:31:54.000Z | 2020-08-31T20:55:00.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: mcxiaoke
# @Date: 2015-07-13 22:43:21
import socket
HOST = ''
PORT = 12345
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))
s.listen(1)
conn, addr = s.accept()
print 'Connected from', addr
while True:
data = conn.r... | 19.142857 | 54 | 0.61194 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Author: mcxiaoke
# @Date: 2015-07-13 22:43:21
import socket
HOST = ''
PORT = 12345
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.bind((HOST, PORT))
s.listen(1)
conn, addr = s.accept()
print 'Connected from', addr
while True:
data = conn.r... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
af0d553ebdadd9238d2da4d94bac6dc43da400b3 | 1,820 | py | Python | Generate_Data/data_gen_example.py | Sudip-Pandit/spark_book | 199e803664696944b007db5c630c050e7b789698 | [
"CC0-1.0"
] | 1 | 2021-07-27T13:52:56.000Z | 2021-07-27T13:52:56.000Z | Get_test_data/Generate_Data/data_gen_example.py | ghoshm21/spark_book | 199e803664696944b007db5c630c050e7b789698 | [
"CC0-1.0"
] | null | null | null | Get_test_data/Generate_Data/data_gen_example.py | ghoshm21/spark_book | 199e803664696944b007db5c630c050e7b789698 | [
"CC0-1.0"
] | 1 | 2021-12-13T16:29:35.000Z | 2021-12-13T16:29:35.000Z | # This is just an example how to use faker
# faker is extrimly slow.
# check out data_gen_saprk for fas code
if __name__ == '__main__':
records = 100000000
headers = ["Email Id", "Prefix", "Name", "Birth Date", "Phone Number", "Additional Email Id",
"Address", "Zip Code", "City","State", "Co... | 40.444444 | 104 | 0.502747 | # This is just an example how to use faker
# faker is extrimly slow.
# check out data_gen_saprk for fas code
import csv
from faker import Faker
import datetime
def datagenerate(records, headers):
fake = Faker('en_US')
fake1 = Faker('en_GB') # To generate phone numbers
with open("People_data.csv", 'wt') a... | 0 | 0 | 0 | 0 | 0 | 1,314 | 0 | -15 | 89 |
c378645bdc10fb05a172cee3d0f7845c73b21e2f | 283 | py | Python | {{cookiecutter.project_slug}}/backend/main.py | devalv/cookiecutter-fastapi | c7cfd3caa14b40dcc5d8ff6bdb6e25cfed3c9d00 | [
"MIT"
] | 2 | 2021-12-26T00:10:19.000Z | 2022-01-30T21:24:31.000Z | backend/main.py | devalv/yawm | 9f91b96cf6b9a9a1f2026d514ea24edda117e1ba | [
"MIT"
] | 7 | 2020-11-07T16:42:47.000Z | 2022-01-21T23:51:38.000Z | backend/main.py | devalv/yawm | 9f91b96cf6b9a9a1f2026d514ea24edda117e1ba | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Simple debug application runner."""
import uvicorn
from core import config
if __name__ == "__main__":
uvicorn.run(
"api:app",
reload=True,
host=f"{config.API_HOST}",
port=config.API_PORT,
loop="uvloop",
)
| 17.6875 | 38 | 0.572438 | # -*- coding: utf-8 -*-
"""Simple debug application runner."""
import uvicorn
from core import config
if __name__ == "__main__":
uvicorn.run(
"api:app",
reload=True,
host=f"{config.API_HOST}",
port=config.API_PORT,
loop="uvloop",
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
50f82f3e58810dabad7aec2cc563b6880c9f27c3 | 318 | py | Python | exercicios-Python/aula22c.py | pedrosimoes-programmer/exercicios-python | 150de037496d63d76086678d87425a8ccfc74573 | [
"MIT"
] | null | null | null | exercicios-Python/aula22c.py | pedrosimoes-programmer/exercicios-python | 150de037496d63d76086678d87425a8ccfc74573 | [
"MIT"
] | null | null | null | exercicios-Python/aula22c.py | pedrosimoes-programmer/exercicios-python | 150de037496d63d76086678d87425a8ccfc74573 | [
"MIT"
] | null | null | null | #Retorno de Variveis
r1 = somar(2, 4)
r2 = somar(3, 5, 4)
r3 = somar(8)
print(f'Os clculos foram {r1}, {r2} e {r3}.') | 31.8 | 152 | 0.650943 | #Retorno de Variáveis
def somar(a=0, b=0, c=0):
s = a + b + c
return s #Usando o comando return, é possível retornar um valor a partir da função, e colocá-la numa variável, assim, usando-a da forma que desejar
r1 = somar(2, 4)
r2 = somar(3, 5, 4)
r3 = somar(8)
print(f'Os cálculos foram {r1}, {r2} e {r3}.') | 16 | 0 | 0 | 0 | 0 | 169 | 0 | 0 | 23 |
df4e170ee9233a39c371120b69469a6f9e3bbe28 | 7,038 | py | Python | qpython/_pandas.py | komsit37/sublime-q-2 | a0371c820ad8c8040fbca12bdbf7d2cf90f3c346 | [
"MIT"
] | 2 | 2016-01-04T08:40:15.000Z | 2016-09-16T21:16:26.000Z | qpython/_pandas.py | komsit37/sublime-q-2 | a0371c820ad8c8040fbca12bdbf7d2cf90f3c346 | [
"MIT"
] | null | null | null | qpython/_pandas.py | komsit37/sublime-q-2 | a0371c820ad8c8040fbca12bdbf7d2cf90f3c346 | [
"MIT"
] | null | null | null | #
# Copyright (c) 2011-2014 Exxeleron GmbH
#
# 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 agre... | 38.043243 | 145 | 0.613242 | #
# Copyright (c) 2011-2014 Exxeleron GmbH
#
# 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 agre... | 0 | 5,240 | 0 | 843 | 0 | 0 | 0 | 126 | 225 |
4f317c7da3553e370baabd2f644193d2ce306d16 | 154,271 | py | Python | SigProfilerTopography/Topography.py | AlexandrovLab/SigProfilerTopography | 34c7cf24392bc77953370038a520ffc8d0bdee50 | [
"BSD-2-Clause"
] | 5 | 2021-04-02T14:03:45.000Z | 2022-02-21T12:54:52.000Z | SigProfilerTopography/Topography.py | AlexandrovLab/SigProfilerTopography | 34c7cf24392bc77953370038a520ffc8d0bdee50 | [
"BSD-2-Clause"
] | null | null | null | SigProfilerTopography/Topography.py | AlexandrovLab/SigProfilerTopography | 34c7cf24392bc77953370038a520ffc8d0bdee50 | [
"BSD-2-Clause"
] | 1 | 2022-01-22T06:27:49.000Z | 2022-01-22T06:27:49.000Z | # This source code file is a part of SigProfilerTopography
# SigProfilerTopography is a tool included as part of the SigProfiler
# computational framework for comprehensive analysis of mutational
# signatures from next-generation sequencing of cancer genomes.
# SigProfilerTopography provides the downstream data analysi... | 61.981117 | 350 | 0.555639 | # This source code file is a part of SigProfilerTopography
# SigProfilerTopography is a tool included as part of the SigProfiler
# computational framework for comprehensive analysis of mutational
# signatures from next-generation sequencing of cancer genomes.
# SigProfilerTopography provides the downstream data analysi... | 0 | 0 | 0 | 0 | 0 | 135,082 | 0 | 7,728 | 3,037 |
e6f0ae213c3940abf9a8efd1a6587d1fed9d63f7 | 5,782 | py | Python | mincall/hyperparam/_hyperparam.py | nmiculinic/minion-basecaller | 73a134c8ed3715e79319780e24a171dd21713408 | [
"MIT"
] | 7 | 2017-07-13T15:08:16.000Z | 2021-04-24T16:39:11.000Z | mincall/hyperparam/_hyperparam.py | nmiculinic/minion-basecaller | 73a134c8ed3715e79319780e24a171dd21713408 | [
"MIT"
] | 4 | 2018-01-09T13:50:57.000Z | 2020-07-15T15:33:35.000Z | mincall/hyperparam/_hyperparam.py | nmiculinic/minion-basecaller | 73a134c8ed3715e79319780e24a171dd21713408 | [
"MIT"
] | 1 | 2018-03-24T22:48:25.000Z | 2018-03-24T22:48:25.000Z | import logging
hyperparam_logger = logging.getLogger(".".join(__name__.split(".")[:-1]))
| 30.272251 | 115 | 0.576271 | from typing import *
from itertools import count
import os
from pprint import pformat
import logging
import cytoolz as toolz
import numpy as np
import yaml
import argparse
import voluptuous
from mincall.common import *
from mincall import train
from mincall.train import DataDir, TrainConfig
from voluptuous.humanize imp... | 0 | 405 | 0 | 524 | 0 | 4,189 | 0 | 78 | 490 |
c09f34824761d6195efb3b06e107298407379d04 | 313 | py | Python | zooapi/api/logout.py | ismyblue/zoo | b00d8af5a6d086369cf939e66884bd377fdf8333 | [
"Apache-2.0"
] | 2 | 2020-09-18T03:58:16.000Z | 2021-03-15T12:28:57.000Z | zooapi/api/logout.py | ismyblue/zoo | b00d8af5a6d086369cf939e66884bd377fdf8333 | [
"Apache-2.0"
] | null | null | null | zooapi/api/logout.py | ismyblue/zoo | b00d8af5a6d086369cf939e66884bd377fdf8333 | [
"Apache-2.0"
] | null | null | null | # Name: logout.py
# Author: HuangHao
# Time: 2020/9/30 22:17
from django.http import JsonResponse
def logout(request):
"""
GET
@param request:
@return:
"""
request.session.flush()
return JsonResponse({'result': 'success', 'success': ''})
| 14.904762 | 65 | 0.642173 | # Name: logout.py
# Author: HuangHao
# Time: 2020/9/30 22:17
from django.http import JsonResponse
from zooapi.models import User
def logout(request):
"""
注销登录 GET
@param request:
@return:
"""
request.session.flush()
return JsonResponse({'result': 'success', 'success': '注销成功'})
| 24 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 22 |
31838a3974e9a0840a5ede0588d72dbfa38aac4a | 509 | py | Python | token.py | punch872/EyeWarnYou | 71ea21a8b3f1ae213478d735a10a240524b89702 | [
"MIT"
] | 1 | 2019-03-04T08:37:26.000Z | 2019-03-04T08:37:26.000Z | token.py | punch872/EyeWarnYou | 71ea21a8b3f1ae213478d735a10a240524b89702 | [
"MIT"
] | null | null | null | token.py | punch872/EyeWarnYou | 71ea21a8b3f1ae213478d735a10a240524b89702 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from pythainlp.tokenize import sent_tokenize, word_tokenize
text = " "
print(text)
print(sent_tokenize(text))
# ['', '', '']
print(word_tokenize(text))
# ['', '', '', ' ', '', '', '', '', ' ']
print(word_tokenize(text, whitespaces=False))
# ['', '', '', '', '', '', '']
text2 = ""
print(te... | 23.136364 | 71 | 0.644401 | # -*- coding: utf-8 -*-
from pythainlp.tokenize import sent_tokenize, word_tokenize
text = "ฉันรักภาษาไทย เพราะฉันใช้ภาษาไทย "
print(text)
print(sent_tokenize(text))
# ['ฉันรักภาษาไทย', 'เพราะฉันใช้ภาษาไทย', '']
print(word_tokenize(text))
# ['ฉัน', 'รัก', 'ภาษาไทย', ' ', 'เพราะ', 'ฉัน', 'ใช้', 'ภาษาไทย', ' ']
prin... | 444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
509f51d52a7396dba603ca6421f58b4f4987b20a | 220 | py | Python | setup.py | mareklovci/kky-zsur | c41fbce53aa790b1f280cbca8d274845993e74f9 | [
"MIT"
] | null | null | null | setup.py | mareklovci/kky-zsur | c41fbce53aa790b1f280cbca8d274845993e74f9 | [
"MIT"
] | null | null | null | setup.py | mareklovci/kky-zsur | c41fbce53aa790b1f280cbca8d274845993e74f9 | [
"MIT"
] | null | null | null | from setuptools import setup
setup(name='zsur',
version='0.1.0',
packages=['zsur'],
entry_points={
'console_scripts': [
'zsur = zsur.__main__:main'
]
},
)
| 18.333333 | 41 | 0.486364 | from setuptools import setup
setup(name='zsur',
version='0.1.0',
packages=['zsur'],
entry_points={
'console_scripts': [
'zsur = zsur.__main__:main'
]
},
)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2984265db5ad3dc8939f67e11869ee6efb92c666 | 839 | py | Python | apex/__init__.py | bcbcbcbcbcl/apex | 7b3ac7221367dc7b7527a68e34cf08b5eeb0fc47 | [
"BSD-3-Clause"
] | 2 | 2021-06-24T18:31:04.000Z | 2021-06-24T20:34:44.000Z | apex/__init__.py | bcbcbcbcbcl/apex | 7b3ac7221367dc7b7527a68e34cf08b5eeb0fc47 | [
"BSD-3-Clause"
] | null | null | null | apex/__init__.py | bcbcbcbcbcl/apex | 7b3ac7221367dc7b7527a68e34cf08b5eeb0fc47 | [
"BSD-3-Clause"
] | null | null | null | # from . import RNN
# from . import reparameterization
try:
except ImportError:
# An attempt to fix https://github.com/NVIDIA/apex/issues/97. I'm not sure why 97 is even
# happening because Python modules should only be imported once, even if import is called
# multiple times.
try:
_ = warned_o... | 32.269231 | 102 | 0.703218 | # from . import RNN
# from . import reparameterization
from . import fp16_utils
from . import parallel
from . import amp
try:
from . import optimizers
except ImportError:
# An attempt to fix https://github.com/NVIDIA/apex/issues/97. I'm not sure why 97 is even
# happening because Python modules should only... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 118 |
edb94b58d1c26be7749ed87ed63953601befc353 | 8,454 | py | Python | api/namex/resources/auto_analyse/issues/corporate_name_conflict.py | riyazuddinsyed/namex | c100ef4378794f509b738d38276e3b902d26067a | [
"Apache-2.0"
] | null | null | null | api/namex/resources/auto_analyse/issues/corporate_name_conflict.py | riyazuddinsyed/namex | c100ef4378794f509b738d38276e3b902d26067a | [
"Apache-2.0"
] | null | null | null | api/namex/resources/auto_analyse/issues/corporate_name_conflict.py | riyazuddinsyed/namex | c100ef4378794f509b738d38276e3b902d26067a | [
"Apache-2.0"
] | null | null | null |
# Import DTOs
| 44.494737 | 161 | 0.577596 | from datetime import date
from string import Template
from namex.services.name_request.auto_analyse import AnalysisIssueCodes
# Import DTOs
from .abstract import AnalysisResponseIssue
from ..response_objects import NameAnalysisIssue
from ..response_objects import NameAction, NameActions, Conflict
class CorporateNam... | 0 | 0 | 0 | 8,130 | 0 | 0 | 0 | 152 | 156 |
17b916fddb4cf1c13bf9e42996fa9b637ba98911 | 2,942 | py | Python | fabfile/base.py | whatsthehubbub/rippleeffect | f33488e7a0dbeaadee5da5ddef7ce5f209fb3fd4 | [
"MIT"
] | null | null | null | fabfile/base.py | whatsthehubbub/rippleeffect | f33488e7a0dbeaadee5da5ddef7ce5f209fb3fd4 | [
"MIT"
] | null | null | null | fabfile/base.py | whatsthehubbub/rippleeffect | f33488e7a0dbeaadee5da5ddef7ce5f209fb3fd4 | [
"MIT"
] | null | null | null | from fabric.colors import cyan
from fabric.contrib import files
packages = (
'build-essential',
'git',
'mercurial',
'rsync',
'vim',
)
def create_deploy_user():
"creates deployment user"
username = 'deploy'
# create deploy user & home without password
if files.contains('/etc/p... | 25.582609 | 108 | 0.655676 | from fabric.api import *
from fabric.colors import cyan
from fabric.contrib import files
packages = (
'build-essential',
'git',
'mercurial',
'rsync',
'vim',
)
def install_base_packages():
sudo('apt-get update')
for package in packages:
sudo('apt-get install %s --assume-yes' % packa... | 0 | 0 | 0 | 0 | 0 | 948 | 0 | 3 | 137 |
1cb0b3487a0368915142350ccee98b2e55f028c8 | 4,894 | py | Python | recipes/data/fisher/utils.py | lorenlugosch/wav2letter | 0393ac7d451e99a3d70a0d78fc48ebc403fee0dc | [
"BSD-3-Clause"
] | 337 | 2021-04-17T03:22:38.000Z | 2022-03-28T18:01:10.000Z | recipes/data/fisher/utils.py | lorenlugosch/wav2letter | 0393ac7d451e99a3d70a0d78fc48ebc403fee0dc | [
"BSD-3-Clause"
] | 64 | 2021-04-16T16:50:47.000Z | 2022-03-25T18:14:42.000Z | recipes/data/fisher/utils.py | lorenlugosch/wav2letter | 0393ac7d451e99a3d70a0d78fc48ebc403fee0dc | [
"BSD-3-Clause"
] | 63 | 2021-04-16T14:44:43.000Z | 2022-03-29T13:43:18.000Z | """
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
| 33.067568 | 86 | 0.526972 | """
Copyright (c) Facebook, Inc. and its affiliates.
All rights reserved.
This source code is licensed under the BSD-style license found in the
LICENSE file in the root directory of this source tree.
"""
from __future__ import absolute_import, division, print_function, unicode_literals
import os
import sox
def fi... | 0 | 0 | 0 | 0 | 0 | 4,534 | 0 | -23 | 92 |
65c559e5b5f51d6b87eee6d3d2659ee1b550c613 | 2,632 | py | Python | fool/predictor.py | alanoooaao/FoolNLTK | 1344c5aa1c2aabc1f4f6f2a492e1663928836325 | [
"Apache-2.0"
] | 1,718 | 2017-12-15T06:14:10.000Z | 2022-03-28T02:31:56.000Z | fool/predictor.py | alanoooaao/FoolNLTK | 1344c5aa1c2aabc1f4f6f2a492e1663928836325 | [
"Apache-2.0"
] | 73 | 2017-12-22T03:04:17.000Z | 2021-11-15T15:38:18.000Z | fool/predictor.py | alanoooaao/FoolNLTK | 1344c5aa1c2aabc1f4f6f2a492e1663928836325 | [
"Apache-2.0"
] | 421 | 2017-12-17T08:32:11.000Z | 2022-03-11T03:02:29.000Z | #!/usr/bin/env python
# -*-coding:utf-8-*-
| 33.316456 | 119 | 0.640578 | #!/usr/bin/env python
# -*-coding:utf-8-*-
import tensorflow as tf
import numpy as np
from tensorflow.contrib.crf import viterbi_decode
def decode(logits, trans, sequence_lengths, tag_num):
viterbi_sequences = []
small = -1000.0
start = np.asarray([[small] * tag_num + [0]])
for logit, length in zip... | 0 | 0 | 0 | 1,543 | 0 | 853 | 0 | 27 | 159 |
db1f10790ae19b9c1c9518e37dc69cd4f610f4b8 | 904 | py | Python | src/chembl_webservices/core/fpsim2_helper.py | BNext-IQT/chembl_webservices_py3 | 42ccb39f0121835ca7ee9ac8ddd04cb513998079 | [
"Apache-2.0"
] | 5 | 2020-10-23T11:56:59.000Z | 2021-06-05T16:30:10.000Z | src/chembl_webservices/core/fpsim2_helper.py | BNext-IQT/chembl_webservices_py3 | 42ccb39f0121835ca7ee9ac8ddd04cb513998079 | [
"Apache-2.0"
] | 9 | 2020-02-11T08:01:40.000Z | 2021-06-10T19:41:03.000Z | src/chembl_webservices/core/fpsim2_helper.py | BNext-IQT/chembl_webservices_py3 | 42ccb39f0121835ca7ee9ac8ddd04cb513998079 | [
"Apache-2.0"
] | 4 | 2020-02-11T10:45:22.000Z | 2021-06-07T01:48:02.000Z |
# Variable loaded from the Settings to prevent circular references
FPSIM2_FILE_PATH = None
FPSIM_ENGINE = None
def get_similar_molregnos(query_string, similarity=0.7):
"""
:param query_string: the smiles, inchi or molfile representation of the query
:param similarity: the minimum similarity threshold
... | 34.769231 | 81 | 0.733407 | from FPSim2 import FPSim2Engine
import time
# Variable loaded from the Settings to prevent circular references
FPSIM2_FILE_PATH = None
FPSIM_ENGINE = None
def get_fpsim_engine():
global FPSIM_ENGINE, FPSIM2_FILE_PATH
if FPSIM_ENGINE is None:
t_ini = time.time()
FPSIM_ENGINE = FPSim2Engine(FPSI... | 0 | 0 | 0 | 0 | 0 | 253 | 0 | 0 | 67 |
fa18948df120f9cec960c87761e0e375fe726424 | 8,025 | py | Python | tests/unit_config.py | rohank63/htsinfer | 2067ed67bdc9b4208efa3d2080c3fe541607e5fb | [
"Apache-2.0"
] | 1 | 2020-05-28T21:10:57.000Z | 2020-05-28T21:10:57.000Z | tests/unit_config.py | rohank63/htsinfer | 2067ed67bdc9b4208efa3d2080c3fe541607e5fb | [
"Apache-2.0"
] | null | null | null | tests/unit_config.py | rohank63/htsinfer | 2067ed67bdc9b4208efa3d2080c3fe541607e5fb | [
"Apache-2.0"
] | null | null | null | """
Unit tests for '.config'.
"""
import os
from myproj.config import ConfigParser
# Test parameters
FILE_OK = os.path.join(
os.path.dirname(__file__),
"files",
"yaml",
)
FILE_UNAVAILABLE = "xyz/zyx/123"
FILE_NOT_YAML = __file__
FILE_EMPTY = os.path.join(
os.path.dirname(__file__),
"files",
"e... | 22.542135 | 66 | 0.681246 | """
Unit tests for '.config'.
"""
import os
import pytest
from yaml.parser import ParserError
from yaml.representer import RepresenterError
from myproj.config import ConfigParser
from myproj.models import Parameters
# Test parameters
FILE_OK = os.path.join(
os.path.dirname(__file__),
"files",
"yaml",
)
F... | 0 | 0 | 0 | 0 | 0 | 5,609 | 0 | 45 | 1,140 |
0250a0c2744104558e0af87746c740e94fbfa427 | 5,347 | py | Python | otio.py | eric-with-a-c/resolve-otio | 7e5bcfbf1025042368a3e53547cafbe437d14e9d | [
"Apache-2.0"
] | 10 | 2020-10-02T06:12:22.000Z | 2021-11-03T02:34:21.000Z | otio.py | eric-with-a-c/resolve-otio | 7e5bcfbf1025042368a3e53547cafbe437d14e9d | [
"Apache-2.0"
] | 1 | 2021-11-19T00:58:52.000Z | 2022-01-01T20:27:27.000Z | otio.py | eric-with-a-c/resolve-otio | 7e5bcfbf1025042368a3e53547cafbe437d14e9d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sys
# CHANGE THE LINE BELOW TO POINT TO YOUR PYTHON SITE PACKAGES
sys.path.append("/path/to/site-packages")
import opentimelineio as otio
resolve = bmd.scriptapp("Resolve")
fu = resolve.Fusion()
ui = fu.UIManager
disp = bmd.UIDispatcher(fu.UIManager)
TRACK_TYPES = {
"video": otio.sche... | 28.441489 | 78 | 0.586684 | #!/usr/bin/env python
import os
import sys
# CHANGE THE LINE BELOW TO POINT TO YOUR PYTHON SITE PACKAGES
sys.path.append("/path/to/site-packages")
import opentimelineio as otio
resolve = bmd.scriptapp("Resolve")
fu = resolve.Fusion()
ui = fu.UIManager
disp = bmd.UIDispatcher(fu.UIManager)
TRACK_TYPES = {
"video"... | 0 | 0 | 0 | 0 | 0 | 3,704 | 0 | -12 | 253 |
19b96d53355eb51d4df2f87f15d58f7f8764f9d3 | 1,833 | py | Python | Python_Script/Insert_Data_To_MongoDB/Insertdata_to withoutDuplication.py | amolkokare/FinTech-Flair-NSE-data | 46941078299dbb63ef35875b3851458b3538c87d | [
"MIT"
] | null | null | null | Python_Script/Insert_Data_To_MongoDB/Insertdata_to withoutDuplication.py | amolkokare/FinTech-Flair-NSE-data | 46941078299dbb63ef35875b3851458b3538c87d | [
"MIT"
] | null | null | null | Python_Script/Insert_Data_To_MongoDB/Insertdata_to withoutDuplication.py | amolkokare/FinTech-Flair-NSE-data | 46941078299dbb63ef35875b3851458b3538c87d | [
"MIT"
] | null | null | null | import pymongo
import os
import pandas as pd
import glob
import shutil
dflist=[]
m=[]
os.chdir(r"D:\NSEDATA\2021")
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["NSEDATA2020FinalDataCopy"]
mycol = mydb["BHAVCOPY1"]
#mydb.mycol.create_index([{"TIMESTAMP"}], unique=True )
filelist=glob.gl... | 22.353659 | 82 | 0.687943 | import pymongo
import os
import datetime,time
import pandas as pd
import glob
import zipfile
import json,codecs
import shutil
dflist=[]
m=[]
os.chdir(r"D:\NSEDATA\2021")
myclient = pymongo.MongoClient("mongodb://localhost:27017/")
mydb = myclient["NSEDATA2020FinalDataCopy"]
mycol = mydb["BHAVCOPY1"]
#mydb.mycol.creat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 66 |
29fa78a1a4370e7989dd486a303fe7ecc0c6b1ad | 7,015 | py | Python | nablapps/podcast/migrations/0001_squashed_0014_podcast_content_type.py | Amund211/nablaweb | 8105c34615d4b67637e982545fbc6489a131c1f3 | [
"MIT"
] | 17 | 2019-10-07T15:10:58.000Z | 2022-01-21T14:18:07.000Z | nablapps/podcast/migrations/0001_squashed_0014_podcast_content_type.py | Amund211/nablaweb | 8105c34615d4b67637e982545fbc6489a131c1f3 | [
"MIT"
] | 222 | 2019-10-07T15:04:51.000Z | 2022-03-24T12:14:16.000Z | nablapps/podcast/migrations/0001_squashed_0014_podcast_content_type.py | Amund211/nablaweb | 8105c34615d4b67637e982545fbc6489a131c1f3 | [
"MIT"
] | 7 | 2019-10-10T18:53:42.000Z | 2021-10-18T02:13:09.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 35.251256 | 126 | 0.380328 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import image_cropping.fields
class Migration(migrations.Migration):
replaces = [
("podcast", "0001_initial"),
("podcast", "0002_auto_20150214_2044"),
("podcast", "0003_auto_20150521_... | 14 | 0 | 0 | 6,848 | 0 | 0 | 0 | 26 | 69 |
98c34a669c73592ded3bf286d8c834e4cf773fce | 3,501 | py | Python | python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_prelu_op.py | zhenlin-work/Paddle | ed7a21dea0ddcffb6f7f33ce21c5c368f5c7866b | [
"Apache-2.0"
] | 2 | 2018-12-27T07:13:55.000Z | 2021-06-16T09:30:09.000Z | python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_prelu_op.py | zhenlin-work/Paddle | ed7a21dea0ddcffb6f7f33ce21c5c368f5c7866b | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/tests/unittests/ir/inference/test_mkldnn_prelu_op.py | zhenlin-work/Paddle | ed7a21dea0ddcffb6f7f33ce21c5c368f5c7866b | [
"Apache-2.0"
] | 1 | 2020-11-25T10:41:52.000Z | 2020-11-25T10:41:52.000Z | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 36.852632 | 80 | 0.61611 | # Copyright (c) 2021 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by appli... | 0 | 291 | 0 | 2,121 | 0 | 0 | 0 | 190 | 223 |
51911ce7576e67a254f3a2879abf32c2a39ea806 | 5,055 | py | Python | vision/applications/vision_detection_app.py | lcmonteiro/space-vision-py | 38022c99218de0e1e93ec0bae8d143fa0c787f1d | [
"MIT"
] | 1 | 2019-12-14T20:00:17.000Z | 2019-12-14T20:00:17.000Z | vision/applications/vision_detection_app.py | lcmonteiro/space-vision-py | 38022c99218de0e1e93ec0bae8d143fa0c787f1d | [
"MIT"
] | null | null | null | vision/applications/vision_detection_app.py | lcmonteiro/space-vision-py | 38022c99218de0e1e93ec0bae8d143fa0c787f1d | [
"MIT"
] | null | null | null | # ################################################################################################
# ------------------------------------------------------------------------------------------------
# File: vision_detection_app.py
# Author: Luis Monteiro
#
# Created on nov 8, 2019, 22:00 PM
# -------------------------... | 38.007519 | 99 | 0.314144 | # ################################################################################################
# ------------------------------------------------------------------------------------------------
# File: vision_detection_app.py
# Author: Luis Monteiro
#
# Created on nov 8, 2019, 22:00 PM
# -------------------------... | 0 | 206 | 0 | 0 | 0 | 873 | 0 | 134 | 132 |
195b8629b6c5b96f8b0420012e11e13bd47a5abc | 26,645 | py | Python | z_laser_viz/src/z_laser_viz/zlp_viz.py | fada-catec/z_laser_projector | 79be087febbdc721734031fdf0b3289817be92ce | [
"Apache-2.0"
] | null | null | null | z_laser_viz/src/z_laser_viz/zlp_viz.py | fada-catec/z_laser_projector | 79be087febbdc721734031fdf0b3289817be92ce | [
"Apache-2.0"
] | null | null | null | z_laser_viz/src/z_laser_viz/zlp_viz.py | fada-catec/z_laser_projector | 79be087febbdc721734031fdf0b3289817be92ce | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2020, FADA-CATEC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing,... | 41.24613 | 128 | 0.630662 | # Copyright (c) 2020, FADA-CATEC
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing,... | 0 | 0 | 0 | 25,077 | 0 | 0 | 0 | 526 | 378 |
93784d658a8932e10e2b9b65c44f56cbe38aa0e9 | 6,302 | py | Python | models/backbones/wideresnet.py | wutong16/Adversarial_Long-Tail | ab2f3a792aede2bd2a3e57657c787ec542165be1 | [
"FSFAP"
] | 78 | 2021-04-05T15:58:03.000Z | 2022-03-30T02:42:42.000Z | models/backbones/wideresnet.py | wutong16/Adversarial_Long-Tail | ab2f3a792aede2bd2a3e57657c787ec542165be1 | [
"FSFAP"
] | 1 | 2022-03-08T04:11:02.000Z | 2022-03-18T04:11:17.000Z | models/backbones/wideresnet.py | wutong16/Adversarial_Long-Tail | ab2f3a792aede2bd2a3e57657c787ec542165be1 | [
"FSFAP"
] | 9 | 2021-04-13T09:51:51.000Z | 2022-03-09T02:45:20.000Z | import torch.nn as nn
| 37.963855 | 131 | 0.608854 | import math
import torch
import torch.nn as nn
import torch.nn.functional as F
from .non_local import NonLocal_Direct
from .custom_activations import build_custom_activation
from .custom_norm import select_norm
class BasicBlock(nn.Module):
def __init__(self, in_planes, out_planes, stride, dropRate=0.0, activatio... | 0 | 0 | 0 | 5,496 | 0 | 452 | 0 | 57 | 271 |
4d75a406dd259cb5ae2939364c8f7e00ee590ceb | 17,358 | py | Python | hdf_compass/hdf5rest_model/hdf5dtype.py | HDFGroup/hdf-compass | 050e05aeb491d9d8f79b36529c7c8e9eebf4fd71 | [
"IJG"
] | 124 | 2015-06-12T02:01:12.000Z | 2022-03-26T20:10:01.000Z | hdf_compass/hdf5rest_model/hdf5dtype.py | giumas/hdf-compass | 945d9acd6d4d676db8bf81e0af694b6eefb7dc25 | [
"IJG"
] | 152 | 2015-04-17T04:38:08.000Z | 2022-03-27T16:19:05.000Z | hdf_compass/hdf5rest_model/hdf5dtype.py | giumas/hdf-compass | 945d9acd6d4d676db8bf81e0af694b6eefb7dc25 | [
"IJG"
] | 42 | 2015-04-24T19:28:30.000Z | 2021-11-25T08:01:32.000Z | ##############################################################################
# Copyright by The HDF Group. #
# All rights reserved. #
# #
# Th... | 37.816993 | 89 | 0.549833 | ##############################################################################
# Copyright by The HDF Group. #
# All rights reserved. #
# #
# Th... | 0 | 0 | 0 | 0 | 0 | 15,331 | 0 | 45 | 291 |
4a59bff9ab2c447e1f0b633f0189f010a153ef26 | 1,645 | py | Python | raydockop/large_csv_to_parquet.py | abazabaaa/dockop | 6985d1296ef6f076e702db3403bd52f045c7ad1d | [
"MIT"
] | null | null | null | raydockop/large_csv_to_parquet.py | abazabaaa/dockop | 6985d1296ef6f076e702db3403bd52f045c7ad1d | [
"MIT"
] | null | null | null | raydockop/large_csv_to_parquet.py | abazabaaa/dockop | 6985d1296ef6f076e702db3403bd52f045c7ad1d | [
"MIT"
] | null | null | null | from pyarrow import Table
from pyarrow.parquet import ParquetWriter
import pyarrow as pa
import pandas as pd
from pyarrow import csv
include_columns = ['zincid', 'smiles', 'dockscore']
delimiter = str(',')
chunksize = 1048576*1000
file_stream = '/data/dockop_data/AmpC_screen_table.csv'
input_stream_reader = InputStrea... | 36.555556 | 133 | 0.657751 | from pyarrow import Table
from pyarrow.parquet import ParquetWriter
import pyarrow as pa
import pandas as pd
from pyarrow import csv
class InputStreamReader:
def __init__(self, file_stream):
self.file_stream = file_stream
self._stream = None
def batches(self):
i = tries = 0
while... | 0 | 501 | 0 | 442 | 0 | 0 | 0 | 0 | 22 |
a1eb1c3ce20dc24e214298373cbc3c3153fbb4c6 | 2,933 | py | Python | hathor/conf/testnet.py | luislhl/hathor-core | 9fe53b5a6ecb6efd3f4e8ce2ba21d591f0402cc6 | [
"Apache-2.0"
] | null | null | null | hathor/conf/testnet.py | luislhl/hathor-core | 9fe53b5a6ecb6efd3f4e8ce2ba21d591f0402cc6 | [
"Apache-2.0"
] | null | null | null | hathor/conf/testnet.py | luislhl/hathor-core | 9fe53b5a6ecb6efd3f4e8ce2ba21d591f0402cc6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 Hathor Labs
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 56.403846 | 105 | 0.800205 | # Copyright 2021 Hathor Labs
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d3aaba5da0c90d09dc983a2b34ef38ae2721d5fd | 1,812 | py | Python | iPadAir.py | hagridblack/appium-sample-code-for-ios | 022e2013841ba29cdf77c04ff03652f33cc5abfc | [
"MIT"
] | null | null | null | iPadAir.py | hagridblack/appium-sample-code-for-ios | 022e2013841ba29cdf77c04ff03652f33cc5abfc | [
"MIT"
] | null | null | null | iPadAir.py | hagridblack/appium-sample-code-for-ios | 022e2013841ba29cdf77c04ff03652f33cc5abfc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import unittest
if __name__ == '__main__':
unittest.main()
| 31.789474 | 90 | 0.629691 | # -*- coding: utf-8 -*-
import unittest
import time
from appium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions
class Untitled(unittest.TestCase):
reportDirectory = 'reports'
report... | 21 | 0 | 0 | 1,483 | 0 | 0 | 0 | 90 | 133 |
72fc23d17d0df2ff2741845d0adba79435790ef9 | 13,691 | py | Python | rapid/workflow/data/dal/pipeline_dal.py | m2bright/rapid | fd66515105ca9773c5da8562a878c6b0bfa4487a | [
"Apache-2.0"
] | null | null | null | rapid/workflow/data/dal/pipeline_dal.py | m2bright/rapid | fd66515105ca9773c5da8562a878c6b0bfa4487a | [
"Apache-2.0"
] | null | null | null | rapid/workflow/data/dal/pipeline_dal.py | m2bright/rapid | fd66515105ca9773c5da8562a878c6b0bfa4487a | [
"Apache-2.0"
] | null | null | null | """
Copyright (c) 2015 Michael Bright and Bamboo HR LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | 44.307443 | 165 | 0.62815 | """
Copyright (c) 2015 Michael Bright and Bamboo HR LLC
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed... | 0 | 0 | 0 | 12,124 | 0 | 0 | 0 | 449 | 381 |
d8e66d1f432b5d05594739faf75414a48bafafa6 | 168 | py | Python | bardhub/artist/admin.py | migdotcom/music-library | 4648ea02e4b071c4a287eba09202045963992873 | [
"MIT"
] | null | null | null | bardhub/artist/admin.py | migdotcom/music-library | 4648ea02e4b071c4a287eba09202045963992873 | [
"MIT"
] | null | null | null | bardhub/artist/admin.py | migdotcom/music-library | 4648ea02e4b071c4a287eba09202045963992873 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Artist
# Register your models here.
admin.site.register(Artist)
admin.site.site_header = 'Bardhub Administration'
| 24 | 49 | 0.809524 | from django.contrib import admin
from .models import Artist
# Register your models here.
admin.site.register(Artist)
admin.site.site_header = 'Bardhub Administration'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
34a885fd5c4c664b0eb7e713dcb670d1dd910411 | 823 | py | Python | sortByMTime.py | nightjuggler/pig | 24284ce9fec67b28445bf0d15754928ecc888fc6 | [
"MIT"
] | null | null | null | sortByMTime.py | nightjuggler/pig | 24284ce9fec67b28445bf0d15754928ecc888fc6 | [
"MIT"
] | null | null | null | sortByMTime.py | nightjuggler/pig | 24284ce9fec67b28445bf0d15754928ecc888fc6 | [
"MIT"
] | null | null | null | import os
if __name__ == '__main__':
main()
| 27.433333 | 78 | 0.671932 | import os
import os.path
import sys
def main():
time_name_pairs = [(os.stat(name).st_mtime, name) for name in os.listdir('.')
if name[:4] == 'IMG_' and name[-4:] == '.JPG']
time_name_pairs.sort()
names = []
for i, (mtime, oldname) in enumerate(time_name_pairs, start=1):
newname = 'IMG_{:04d}.JPG'.format(i)
... | 0 | 0 | 0 | 0 | 0 | 728 | 0 | -18 | 67 |
428b8c0635f5c971145cee47479b955994e649a4 | 1,608 | py | Python | main.py/lab07.py | sofilaulia/Lab-python | 114cc30acd324212b7b4b6708ee65aefcc68baa0 | [
"MIT"
] | null | null | null | main.py/lab07.py | sofilaulia/Lab-python | 114cc30acd324212b7b4b6708ee65aefcc68baa0 | [
"MIT"
] | null | null | null | main.py/lab07.py | sofilaulia/Lab-python | 114cc30acd324212b7b4b6708ee65aefcc68baa0 | [
"MIT"
] | null | null | null | # Nama: Sofil Muna Aulia
# NIM: 0110120115
# Kelas: Sistem Informasi 05
# Mulai baris ini hingga baris paling bawah
# digunakan untuk mengetes fungsi yang telah dibuat.
# Tidak perlu mengubah bagian ini.
# Ketika dijalankan, program akan menampilkan contoh
# pemanggilan fungsi dan solusi yang seharusnya.
# Cocokkan ... | 28.714286 | 84 | 0.651741 | # Nama: Sofil Muna Aulia
# NIM: 0110120115
# Kelas: Sistem Informasi 05
def convert_list(multilist):
# Tulis kode fungsi convert_list() di bawah ini
# Hapus pass jika implementasi sudah dibuat
gabung = sum(multilist, [])
return gabung
def get_nilai(filename, nama):
# Tulis kode fungsi get_nilai() di b... | 0 | 0 | 0 | 0 | 0 | 1,097 | 0 | 0 | 95 |
1427e4f5aadf989968cb0c8ef88292b0fc3d4ad2 | 10,129 | py | Python | data/unified_emotion.py | IvoOVerhoeven/meta-learning-emotion-detection | fb076d7644173b13eb62d6301544af9e98352512 | [
"Apache-2.0"
] | 3 | 2021-04-21T15:44:50.000Z | 2021-05-28T15:53:23.000Z | data/unified_emotion.py | IvoOVerhoeven/meta-learning-emotion-detection | fb076d7644173b13eb62d6301544af9e98352512 | [
"Apache-2.0"
] | null | null | null | data/unified_emotion.py | IvoOVerhoeven/meta-learning-emotion-detection | fb076d7644173b13eb62d6301544af9e98352512 | [
"Apache-2.0"
] | 1 | 2021-09-10T18:13:28.000Z | 2021-09-10T18:13:28.000Z |
"""
def get_dataloader(self, source_name, device, k=4, tokenizer=None, shuffle=True):
Generates a dataloader from a specified dataset.
See MetaStratifiedLoader for more.
Args:
source_name(str): a dataset from one of the processed ones.
k(int, optional): the k-shot.... | 46.677419 | 160 | 0.541317 | from collections import defaultdict
import torch
import jsonlines
def unified_emotion_info():
return [{'source': 'affectivetext', 'size': 250, 'domain': 'headlines', 'classes': 6, 'special': 'non-discrete, multiple labels'},
{'source': 'crowdflower', 'size': 40000, 'domain': 'tweets', 'classes': 14, ... | 0 | 101 | 0 | 6,924 | 0 | 1,509 | 0 | 0 | 113 |
7e69166a97cfa5210984f7711d7e1be3be68117e | 1,864 | py | Python | main.py | heyitswither/Discord-Matrix | b566c6413f787849ea6e805c80e31612b2bad6cd | [
"MIT"
] | null | null | null | main.py | heyitswither/Discord-Matrix | b566c6413f787849ea6e805c80e31612b2bad6cd | [
"MIT"
] | null | null | null | main.py | heyitswither/Discord-Matrix | b566c6413f787849ea6e805c80e31612b2bad6cd | [
"MIT"
] | null | null | null | from matrix_bot_api.matrix_bot_api import MatrixBotAPI
import yaml
config = yaml.safe_load(open('config.yml'))
matrix_client = MatrixBotAPI(config.get('matrix').get('username'), config.get('matrix').get('password'), config.get('matrix').get('homeserver'))
discord_client = DiscordClient()
discord_client.run(config.ge... | 43.348837 | 144 | 0.690451 | from matrix_bot_api.matrix_bot_api import MatrixBotAPI
from matrix_bot_api.mhandler import MHandler
import discord
import yaml
config = yaml.safe_load(open('config.yml'))
class DiscordClient(discord.Client):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.bg_task = self... | 0 | 0 | 928 | 243 | 0 | 217 | 0 | 16 | 113 |
fbe8a1f8f0a1776d58881439c433f53f8f7188c9 | 3,667 | py | Python | face_one_shot_learing/dataset_multiplefaces.py | kornellewy/face_one_shot_learing | 4cd8c8b1807717f921853043858a6f7ad5259917 | [
"MIT"
] | null | null | null | face_one_shot_learing/dataset_multiplefaces.py | kornellewy/face_one_shot_learing | 4cd8c8b1807717f921853043858a6f7ad5259917 | [
"MIT"
] | null | null | null | face_one_shot_learing/dataset_multiplefaces.py | kornellewy/face_one_shot_learing | 4cd8c8b1807717f921853043858a6f7ad5259917 | [
"MIT"
] | null | null | null | import albumentations as A
from albumentations.pytorch import ToTensorV2
from torchvision.utils import save_image
if __name__=='__main__':
img_transform = A.Compose(
[
A.Resize(100, 100),
A.RGBShift(),
... | 45.271605 | 121 | 0.612762 | import os
import cv2
from PIL import Image
import numpy as np
from random import randint, choice, sample
import albumentations as A
from albumentations.pytorch import ToTensorV2
import torch
from torch import nn
from torch import optim
from torchvision import datasets,transforms
from torchvision.utils import save_imag... | 0 | 0 | 0 | 1,878 | 0 | 0 | 0 | 99 | 289 |
a6bad8bbe3f547b619f58cb0a3c1a513a492db92 | 8,515 | py | Python | selvpcclient/util.py | selectel/python-selvpcclient | 99955064215c2be18b568e5e9b34f17087ec304f | [
"Apache-2.0"
] | 7 | 2017-07-15T12:44:23.000Z | 2020-03-24T09:45:11.000Z | selvpcclient/util.py | selectel/python-selvpcclient | 99955064215c2be18b568e5e9b34f17087ec304f | [
"Apache-2.0"
] | 13 | 2017-07-05T09:34:09.000Z | 2021-04-20T08:18:46.000Z | selvpcclient/util.py | selectel/python-selvpcclient | 99955064215c2be18b568e5e9b34f17087ec304f | [
"Apache-2.0"
] | 9 | 2017-06-29T13:51:35.000Z | 2021-06-26T21:00:49.000Z | import base64
import json
import logging
import requests
log = logging.getLogger(__name__)
SENSITIVE_HEADERS = ['X-Token']
FILES_EXTENSIONS = ("png", "jpg", "svg", "txt")
def resource_filter(func):
"""This decorator allows to you filter answer from RESOURCE.list() by
project_id and region.
Both param... | 28.289037 | 79 | 0.57569 | import base64
import hashlib
import json
import logging
import requests
import os
import sys
import six
log = logging.getLogger(__name__)
SENSITIVE_HEADERS = ['X-Token']
FILES_EXTENSIONS = ("png", "jpg", "svg", "txt")
def parse_headers(headers):
result = {}
for header in headers:
if ':' in header:... | 0 | 0 | 0 | 0 | 0 | 4,045 | 0 | -41 | 335 |
e01203521ab7224d47fd68eef13a0101657fdec3 | 3,551 | py | Python | lib/galaxy/util/script.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 4 | 2015-05-12T20:36:41.000Z | 2017-06-26T15:34:02.000Z | lib/galaxy/util/script.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 52 | 2015-03-16T14:02:14.000Z | 2021-12-24T09:50:23.000Z | lib/galaxy/util/script.py | rikeshi/galaxy | c536a877e4a9b3d12aa0d00fd4d5e705109a0d0a | [
"CC-BY-3.0"
] | 7 | 2016-11-03T19:11:01.000Z | 2020-05-11T14:23:52.000Z | """Utilities for Galaxy scripts
"""
import sys
DESCRIPTION = None
ACTIONS = None
ARGUMENTS = None
DEFAULT_ACTION = None
ARG_HELP_CONFIG_FILE = """
Galaxy config file (defaults to $GALAXY_ROOT/config/galaxy.yml if that file exists
or else to ./config/galaxy.ini if that exists). If this isn't set on the
command line it... | 39.455556 | 118 | 0.713039 | """Utilities for Galaxy scripts
"""
import argparse
import os
import sys
from galaxy.util.properties import find_config_file, load_app_properties
DESCRIPTION = None
ACTIONS = None
ARGUMENTS = None
DEFAULT_ACTION = None
ARG_HELP_CONFIG_FILE = """
Galaxy config file (defaults to $GALAXY_ROOT/config/galaxy.yml if that ... | 0 | 0 | 0 | 0 | 0 | 2,294 | 0 | 33 | 182 |
7c9d732fb03b774eb87f41e39cc63dcae1a824dc | 10,106 | py | Python | ic3po/utils.py | will62794/ic3po | 56d355fd69e15f99cd778d1d5c8f63295fd1baba | [
"Apache-2.0"
] | null | null | null | ic3po/utils.py | will62794/ic3po | 56d355fd69e15f99cd778d1d5c8f63295fd1baba | [
"Apache-2.0"
] | null | null | null | ic3po/utils.py | will62794/ic3po | 56d355fd69e15f99cd778d1d5c8f63295fd1baba | [
"Apache-2.0"
] | null | null | null | # ------------------------------------------
# IC3PO: IC3 for Proving Protocol Properties
# ------------------------------------------
# Copyright (c) 2021 Aman Goel and Karem Sakallah, University of Michigan.
# All rights reserved.
#
# Author: Aman Goel (amangoel@umich.edu), University of Michigan
# ----------------... | 29.899408 | 76 | 0.552246 | # ------------------------------------------
# IC3PO: IC3 for Proving Protocol Properties
# ------------------------------------------
# Copyright (c) 2021 Aman Goel and Karem Sakallah, University of Michigan.
# All rights reserved.
#
# Author: Aman Goel (amangoel@umich.edu), University of Michigan
# ----------------... | 0 | 0 | 0 | 0 | 0 | 8,310 | 0 | -3 | 722 |
12162cb891dd942d662731a380e3c5db9aedddcc | 1,989 | py | Python | src/models/metrics.py | AC297R-Wayfair-NLP/wayfair_nlp_public | 9d3628f14f0e3e75f386a2c2f63aed93681ef686 | [
"MIT"
] | 2 | 2021-01-11T21:16:54.000Z | 2021-12-16T16:39:14.000Z | src/models/metrics.py | AC297R-Wayfair-NLP/wayfair_nlp_public | 9d3628f14f0e3e75f386a2c2f63aed93681ef686 | [
"MIT"
] | null | null | null | src/models/metrics.py | AC297R-Wayfair-NLP/wayfair_nlp_public | 9d3628f14f0e3e75f386a2c2f63aed93681ef686 | [
"MIT"
] | null | null | null | import numpy as np
# Asymmetric mean squared error
def bootstrap(full_model, non_nlp_model, X_full, y, score_func, n_boot=100, nlp_cols=None):
"""Resamples X to calculate `n_boot` pairs of full and non-nlp model scores
Args:
full_model (model): must have .predict method
non_nlp_model (mo... | 42.319149 | 91 | 0.668175 | import tensorflow as tf
import numpy as np
# Asymmetric mean squared error
def asymmetric_mse(y_actual,y_pred):
y_true = tf.cast(y_actual, y_pred.dtype)
asymmetric_mse=tf.square(y_pred-y_actual)*tf.square(tf.sign(y_pred-y_actual)+0.3)
return asymmetric_mse
def bootstrap(full_model, non_nlp_model, X_full,... | 0 | 0 | 0 | 0 | 0 | 172 | 0 | 2 | 44 |
141c4481eeacdbde53d983fcf75ec8624dc36750 | 29 | py | Python | raven/config.py | fossabot/raven | b5ed6258a4c09ac4d132873d6b8b4a1d82d2131b | [
"MIT"
] | 29 | 2018-08-13T20:16:41.000Z | 2022-03-17T02:31:38.000Z | raven/config.py | fossabot/raven | b5ed6258a4c09ac4d132873d6b8b4a1d82d2131b | [
"MIT"
] | 359 | 2018-05-31T00:37:53.000Z | 2022-03-26T04:35:43.000Z | raven/config.py | fossabot/raven | b5ed6258a4c09ac4d132873d6b8b4a1d82d2131b | [
"MIT"
] | 10 | 2019-06-17T18:07:46.000Z | 2022-02-15T02:01:32.000Z | max_parallel_processes = 100
| 14.5 | 28 | 0.862069 | max_parallel_processes = 100
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
adb8e2db68eb4d9a88043c7a3f96e022d2ba9993 | 4,934 | py | Python | pycps.py | matt-saenz/PyCPS | 510ac1764d472299ec87756b34b97b7b6b737a23 | [
"MIT"
] | null | null | null | pycps.py | matt-saenz/PyCPS | 510ac1764d472299ec87756b34b97b7b6b737a23 | [
"MIT"
] | null | null | null | pycps.py | matt-saenz/PyCPS | 510ac1764d472299ec87756b34b97b7b6b737a23 | [
"MIT"
] | null | null | null |
import pandas as pd # type: ignore
BASE_URL = "http://api.census.gov/data/"
# Core functions
def get_asec(year: int, vars: list[str], show_url: bool = False) -> pd.DataFrame:
"""Get CPS ASEC microdata using the Census API."""
key = _get_key()
_check_year(year, dataset="asec")
formatted_vars =... | 25.832461 | 85 | 0.622213 | import os
import re
import pandas as pd # type: ignore
import requests
BASE_URL = "http://api.census.gov/data/"
# Core functions
def get_asec(year: int, vars: list[str], show_url: bool = False) -> pd.DataFrame:
"""Get CPS ASEC microdata using the Census API."""
key = _get_key()
_check_year(year, d... | 0 | 0 | 0 | 133 | 0 | 2,334 | 0 | -30 | 226 |
d5e7ea9e23dee658abe41f2297d8e47b50c79219 | 11,451 | py | Python | cmframework/src/cmframework/server/cmprocessor.py | akraino-edge-stack/ta-config-manager | 8a3f88d0dbf6afdb0130b9d35e563f8a54d15d44 | [
"Apache-2.0"
] | null | null | null | cmframework/src/cmframework/server/cmprocessor.py | akraino-edge-stack/ta-config-manager | 8a3f88d0dbf6afdb0130b9d35e563f8a54d15d44 | [
"Apache-2.0"
] | null | null | null | cmframework/src/cmframework/server/cmprocessor.py | akraino-edge-stack/ta-config-manager | 8a3f88d0dbf6afdb0130b9d35e563f8a54d15d44 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 Nokia
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwar... | 36.123028 | 99 | 0.643088 | # Copyright 2019 Nokia
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, softwar... | 0 | 0 | 0 | 10,579 | 0 | 0 | 0 | 125 | 178 |
7c748b5474de8d8145eba39fbd9a309eb5402848 | 26,358 | py | Python | astute-dashboard/astutedashboard/dashboards/billing/type_mappings/workflows.py | sreenathmenon/astute-project | 00590f769742c44460ef892a803c601a5403e165 | [
"Apache-2.0"
] | null | null | null | astute-dashboard/astutedashboard/dashboards/billing/type_mappings/workflows.py | sreenathmenon/astute-project | 00590f769742c44460ef892a803c601a5403e165 | [
"Apache-2.0"
] | null | null | null | astute-dashboard/astutedashboard/dashboards/billing/type_mappings/workflows.py | sreenathmenon/astute-project | 00590f769742c44460ef892a803c601a5403e165 | [
"Apache-2.0"
] | 1 | 2018-02-24T10:32:41.000Z | 2018-02-24T10:32:41.000Z | # -*- coding: utf-8 -*-
#from openstack_dashboard.api import neutron
try:
import simplejson as json
except ImportError:
except:
raise
ACCOUNT_MAPPING_FIELDS = (
"domain_id",
"domain_name",
"project_mapping",
"project_name",
"description",
"username",
"password",
"confirm_pass... | 37.07173 | 163 | 0.601298 | # -*- coding: utf-8 -*-
from django.conf import settings
from django.core.urlresolvers import reverse
from django.template.loader import render_to_string
from django.utils.translation import ugettext_lazy as _
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from horizon import exce... | 0 | 0 | 0 | 22,141 | 0 | 882 | 0 | 1,363 | 881 |
41b84f06ae65c97f8376b64688e0ea2b2d1f0ac7 | 1,399 | py | Python | budgethelper/clients/databaseabc.py | Preocts/budgethelper | 160fc575e969a3cd009874bf295c50421cdcd999 | [
"MIT"
] | null | null | null | budgethelper/clients/databaseabc.py | Preocts/budgethelper | 160fc575e969a3cd009874bf295c50421cdcd999 | [
"MIT"
] | null | null | null | budgethelper/clients/databaseabc.py | Preocts/budgethelper | 160fc575e969a3cd009874bf295c50421cdcd999 | [
"MIT"
] | null | null | null | """
Abstract Base Class
"""
| 22.206349 | 78 | 0.604003 | """
Abstract Base Class
"""
import sqlite3
from abc import ABC
from abc import abstractmethod
from typing import Any
from typing import List
from budgethelper.models.database import Database
class DatabaseABC(ABC):
def __init__(self, database: Database) -> None:
super().__init__()
self.database =... | 0 | 699 | 0 | 484 | 0 | 0 | 0 | 31 | 156 |
33d4990b1e1849b6a3e28cc44e92397a72436f5c | 7,250 | py | Python | contrib/MedicalSeg/medicalseg/core/infer_window.py | sun222/PaddleSeg | 6019dd164d873e455255500fa3d7ff197f04e95e | [
"Apache-2.0"
] | null | null | null | contrib/MedicalSeg/medicalseg/core/infer_window.py | sun222/PaddleSeg | 6019dd164d873e455255500fa3d7ff197f04e95e | [
"Apache-2.0"
] | null | null | null | contrib/MedicalSeg/medicalseg/core/infer_window.py | sun222/PaddleSeg | 6019dd164d873e455255500fa3d7ff197f04e95e | [
"Apache-2.0"
] | null | null | null | import paddle as torch
import paddle
import paddle.nn.functional as F
import math
def dense_patch_slices(image_size, patch_size, scan_interval):
"""
Enumerate all slices defining 2D/3D patches of size `patch_size` from an `image_size` input image.
Args:
image_size (tuple of int): dimensions of im... | 42.647059 | 119 | 0.646759 | import paddle as torch
import paddle
import paddle.nn.functional as F
import math
def dense_patch_slices(image_size, patch_size, scan_interval):
"""
Enumerate all slices defining 2D/3D patches of size `patch_size` from an `image_size` input image.
Args:
image_size (tuple of int): dimensions of im... | 0 | 0 | 0 | 0 | 0 | 606 | 0 | 0 | 23 |
4db6da118a90fca9dc471472d096300c298fbc86 | 3,469 | py | Python | examples/adspygoogle/adwords/v201306/campaign_management/add_location_extension_override.py | cherry-wb/googleads-python-lib | 24a1ecb7c1cca5af3624a3b03ebaa7f5147b4a04 | [
"Apache-2.0"
] | null | null | null | examples/adspygoogle/adwords/v201306/campaign_management/add_location_extension_override.py | cherry-wb/googleads-python-lib | 24a1ecb7c1cca5af3624a3b03ebaa7f5147b4a04 | [
"Apache-2.0"
] | null | null | null | examples/adspygoogle/adwords/v201306/campaign_management/add_location_extension_override.py | cherry-wb/googleads-python-lib | 24a1ecb7c1cca5af3624a3b03ebaa7f5147b4a04 | [
"Apache-2.0"
] | 2 | 2020-04-02T19:00:31.000Z | 2020-08-06T03:28:38.000Z | #!/usr/bin/python
# -*- coding: UTF-8 -*-
#
# Copyright 2012 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | 32.726415 | 80 | 0.595272 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
#
# Copyright 2012 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2... | 0 | 0 | 0 | 0 | 0 | 2,119 | 0 | 0 | 23 |
ccfc7c0b942763e165b178211e1cc550da2d0c4b | 10,401 | py | Python | escnn/group/irrep.py | QUVA-Lab/escnn | 59ed6b96f61f8616f87b3f25aa2f8abdb6f1a882 | [
"BSD-3-Clause"
] | 4 | 2022-03-16T22:51:39.000Z | 2022-03-18T18:45:49.000Z | escnn/group/irrep.py | QUVA-Lab/escnn | 59ed6b96f61f8616f87b3f25aa2f8abdb6f1a882 | [
"BSD-3-Clause"
] | null | null | null | escnn/group/irrep.py | QUVA-Lab/escnn | 59ed6b96f61f8616f87b3f25aa2f8abdb6f1a882 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import annotations
from typing import List, Tuple
import numpy as np
__all__ = [
"IrreducibleRepresentation",
"build_irrep_from_generators",
"generate_irrep_matrices_from_generators",
"restrict_irrep"
]
from joblib import Memory
# import os
# cache = Memory(os.path.join(os.path.d... | 36.114583 | 199 | 0.52418 | from __future__ import annotations
import escnn.group
from escnn.group import Representation, GroupElement, Group
from escnn.group._numerical import decompose_representation_finitegroup
from escnn.group._numerical import decompose_representation_general
from typing import Callable, Any, List, Union, Dict, Tuple, Type... | 0 | 1,535 | 0 | 5,634 | 0 | 2,057 | 0 | 165 | 181 |
60545ecac254eb41fc5a27c74d5339601d92c65d | 6,018 | py | Python | src/pyams_file_views/widget/__init__.py | Py-AMS/pyams-file-views | f5ed508ca62d1b39f8387da44f601fca1bf9120a | [
"ZPL-2.1"
] | null | null | null | src/pyams_file_views/widget/__init__.py | Py-AMS/pyams-file-views | f5ed508ca62d1b39f8387da44f601fca1bf9120a | [
"ZPL-2.1"
] | null | null | null | src/pyams_file_views/widget/__init__.py | Py-AMS/pyams-file-views | f5ed508ca62d1b39f8387da44f601fca1bf9120a | [
"ZPL-2.1"
] | null | null | null | #
# Copyright (c) 2015-2020 Thierry Florac <tflorac AT ulthar.net>
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRAN... | 37.148148 | 101 | 0.694084 | #
# Copyright (c) 2015-2020 Thierry Florac <tflorac AT ulthar.net>
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this distribution.
# THIS SOFTWARE IS PROVIDED "AS IS" AND ANY AND ALL EXPRESS OR IMPLIED
# WARRAN... | 0 | 4,128 | 0 | 0 | 0 | 0 | 0 | 587 | 602 |
dc4bc736dbb873816bd20c425a93adc0c3bdee0f | 298 | py | Python | Day2/python_network_programming/remote_machine_info.py | nuSapb/basic-python | df6b15e922db7a27a8931143f8dc8ca4fb198b6b | [
"MIT"
] | null | null | null | Day2/python_network_programming/remote_machine_info.py | nuSapb/basic-python | df6b15e922db7a27a8931143f8dc8ca4fb198b6b | [
"MIT"
] | null | null | null | Day2/python_network_programming/remote_machine_info.py | nuSapb/basic-python | df6b15e922db7a27a8931143f8dc8ca4fb198b6b | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
get_remote_machine_info() | 27.090909 | 66 | 0.674497 | import socket
def get_remote_machine_info():
remote_host = 'www.python.org'
try:
print('IP address: %s' %socket.gethostbyname(remote_host))
except socket.error as err_msg:
print("%s: %s" %(remote_host, err_msg))
if __name__ == '__main__':
get_remote_machine_info() | 0 | 0 | 0 | 0 | 0 | 204 | 0 | -8 | 45 |
dcf8949b095d33434aeec30bd6f9cc8d28dd2587 | 10,493 | py | Python | SassifiParser/old/parse_sassifi_fault_injection.py | UFRGS-CAROL/radiation-benchmarks-parsers | a39844ed3ed511f4f2672bc2e0c7e6f920dc7f2b | [
"Apache-2.0"
] | null | null | null | SassifiParser/old/parse_sassifi_fault_injection.py | UFRGS-CAROL/radiation-benchmarks-parsers | a39844ed3ed511f4f2672bc2e0c7e6f920dc7f2b | [
"Apache-2.0"
] | null | null | null | SassifiParser/old/parse_sassifi_fault_injection.py | UFRGS-CAROL/radiation-benchmarks-parsers | a39844ed3ed511f4f2672bc2e0c7e6f920dc7f2b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import include
import os
import csv
import sys
import re
from collections import Counter
ERROR_MODEL_SIZE = len(include.EM_STR)
INSTRUCTION_SIZE = len(include.ASID_STR)
inst_type="rf"
MAX_LOGS_SIZE=9999999999
# except:
# e = sys.exc_info()[0]
# #write_to_page( "<p>Error: %s</p>" % e )... | 35.449324 | 141 | 0.62089 | #!/usr/bin/python
import include
import os
import csv
import sys
import re
from collections import Counter
ERROR_MODEL_SIZE = len(include.EM_STR)
INSTRUCTION_SIZE = len(include.ASID_STR)
inst_type="rf"
MAX_LOGS_SIZE=9999999999
def check_crash(log_filename):
log_file = open(log_filename)
regexp = re.compile(r... | 0 | 0 | 0 | 0 | 0 | 9,582 | 0 | 0 | 114 |
9e26b5dfa815bc12723da707b2340b11e565861e | 39,683 | py | Python | tests/conftest.py | neuro-inc/neuro-admin-client | b67702912c92f9caf579e5c3b3869fe567064164 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | neuro-inc/neuro-admin-client | b67702912c92f9caf579e5c3b3869fe567064164 | [
"Apache-2.0"
] | 41 | 2021-09-02T12:36:24.000Z | 2022-02-21T16:44:18.000Z | tests/conftest.py | neuro-inc/neuro-admin-client | b67702912c92f9caf579e5c3b3869fe567064164 | [
"Apache-2.0"
] | null | null | null | from __future__ import annotations
import aiohttp
| 37.901624 | 88 | 0.560265 | from __future__ import annotations
import asyncio
import datetime
from collections.abc import AsyncIterator
from contextlib import asynccontextmanager
from dataclasses import dataclass, field, replace
from decimal import Decimal
from typing import Any
import aiohttp
import aiohttp.web
import pytest
from yarl import U... | 0 | 37,962 | 510 | 430 | 0 | 82 | 0 | 212 | 428 |
83b201d9467d745f1f90c3d612f0fd43a4d2c97b | 225 | py | Python | talkademic-client/src/test.py | Nouran-Soliman/Talkademic | e81f1a109f25886d10354698bb6852ba9f5fd4f3 | [
"MIT"
] | null | null | null | talkademic-client/src/test.py | Nouran-Soliman/Talkademic | e81f1a109f25886d10354698bb6852ba9f5fd4f3 | [
"MIT"
] | null | null | null | talkademic-client/src/test.py | Nouran-Soliman/Talkademic | e81f1a109f25886d10354698bb6852ba9f5fd4f3 | [
"MIT"
] | null | null | null | import requests
URL = 'https://scholar.googleusercontent.com/citations?view_op=export_citations&user=JtSAIqgAAAAJ&citsig=AMD79ooAAAAAYEerXzdIALaAeL3goamu28BB1p8NLHDg&hl=en'
page = requests.get(URL)
print(type(page.content)) | 37.5 | 156 | 0.84 | import requests
URL = 'https://scholar.googleusercontent.com/citations?view_op=export_citations&user=JtSAIqgAAAAJ&citsig=AMD79ooAAAAAYEerXzdIALaAeL3goamu28BB1p8NLHDg&hl=en'
page = requests.get(URL)
print(type(page.content)) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
492648709453b7d1ab3f201690d87e7c3c581022 | 1,432 | py | Python | uploadfilehandler.py | DivinaThomas/dropBoxReplica_CloudComputing | 684f54881fd168d6293f06d76f21520915affe38 | [
"MIT"
] | null | null | null | uploadfilehandler.py | DivinaThomas/dropBoxReplica_CloudComputing | 684f54881fd168d6293f06d76f21520915affe38 | [
"MIT"
] | null | null | null | uploadfilehandler.py | DivinaThomas/dropBoxReplica_CloudComputing | 684f54881fd168d6293f06d76f21520915affe38 | [
"MIT"
] | null | null | null | import jinja2
import os
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader(os.path.dirname(__file__)),
extensions=['jinja2.ext.autoescape'],
autoescape=True
)
| 28.078431 | 67 | 0.75419 | from google.appengine.ext import blobstore
from google.appengine.ext import ndb
from google.appengine.ext.webapp import blobstore_handlers
from directory import Directory
import webapp2
import jinja2
import os
from google.appengine.api import users
JINJA_ENVIRONMENT = jinja2.Environment(
loader=jinja2.FileSystemLoader... | 0 | 0 | 0 | 1,000 | 0 | 0 | 0 | 93 | 155 |
e10a22e7135c076fab89283de23346148ddbc424 | 11,468 | py | Python | tutorial/test/visualize.py | alexpostnikov/waymo-open-dataset | efe74553dfab813450a1f9070cd14f72d83a40bc | [
"Apache-2.0"
] | null | null | null | tutorial/test/visualize.py | alexpostnikov/waymo-open-dataset | efe74553dfab813450a1f9070cd14f72d83a40bc | [
"Apache-2.0"
] | null | null | null | tutorial/test/visualize.py | alexpostnikov/waymo-open-dataset | efe74553dfab813450a1f9070cd14f72d83a40bc | [
"Apache-2.0"
] | null | null | null | import uuid
import numpy as np
from matplotlib import pyplot as plt, cm
def create_figure_and_axes(size_pixels):
"""Initializes a unique figure and axes for plotting."""
fig, ax = plt.subplots(1, 1, num=uuid.uuid4())
# Sets output image to pixel resolution.
dpi = 100
size_inches = size_pixels / ... | 35.504644 | 121 | 0.595396 | import uuid
import numpy as np
from matplotlib import pyplot as plt, cm
def create_figure_and_axes(size_pixels):
"""Initializes a unique figure and axes for plotting."""
fig, ax = plt.subplots(1, 1, num=uuid.uuid4())
# Sets output image to pixel resolution.
dpi = 100
size_inches = size_pixels / ... | 0 | 0 | 0 | 0 | 0 | 2,759 | 0 | 0 | 46 |
21f462d39e36c18101dd3311b03b9725f2b56199 | 2,415 | py | Python | api.py | Gimu/chancl | f8b6e319f6b3f0f4e165bfa025b917c43fad0a83 | [
"MIT"
] | 33 | 2017-05-07T08:06:45.000Z | 2021-04-06T04:40:22.000Z | api.py | gimu/chancli | f8b6e319f6b3f0f4e165bfa025b917c43fad0a83 | [
"MIT"
] | null | null | null | api.py | gimu/chancli | f8b6e319f6b3f0f4e165bfa025b917c43fad0a83 | [
"MIT"
] | 1 | 2020-05-31T11:11:35.000Z | 2020-05-31T11:11:35.000Z | #!/usr/bin/env python3
import urllib.error
| 37.153846 | 139 | 0.601242 | #!/usr/bin/env python3
import urllib.error
import urllib.request
class ApiError(object):
@staticmethod
def get_error(target, error):
"""Return error message."""
return {'content': "\nCould not generate {}\nFull error code: {}".format(target, error), 'status': "Error occured"}
class Api(object... | 0 | 186 | 0 | 2,091 | 0 | 0 | 0 | 0 | 95 |
b24cf5ddcfa475be657b5972e647ee20784e2ced | 2,708 | py | Python | build/lib/ringity/plots.py | kiri93/ringity | 3fc7990ce42219236235e41b9eeec6cd2477e477 | [
"MIT"
] | 7 | 2021-03-02T17:51:40.000Z | 2022-01-31T00:31:06.000Z | build/lib/ringity/plots.py | kiri93/ringity | 3fc7990ce42219236235e41b9eeec6cd2477e477 | [
"MIT"
] | null | null | null | build/lib/ringity/plots.py | kiri93/ringity | 3fc7990ce42219236235e41b9eeec6cd2477e477 | [
"MIT"
] | 1 | 2021-03-02T17:52:00.000Z | 2021-03-02T17:52:00.000Z |
CEMM_COL1 = ( 0/255, 85/255, 100/255)
CEMM_COL2 = ( 0/255, 140/255, 160/255)
CEMM_COL3 = ( 64/255, 185/255, 212/255)
CEMM_COL4 = (212/255, 236/255, 242/255)
DARK_CEMM_COL1 = (0/255, 43/255, 50/255)
BAR_COL = (0.639, 0.639, 0.639)
# -------------------------------- ACTUAL PLOTS --------------------------------
| 27.917526 | 80 | 0.509232 | import networkx as nx
import matplotlib.pyplot as plt
CEMM_COL1 = ( 0/255, 85/255, 100/255)
CEMM_COL2 = ( 0/255, 140/255, 160/255)
CEMM_COL3 = ( 64/255, 185/255, 212/255)
CEMM_COL4 = (212/255, 236/255, 242/255)
DARK_CEMM_COL1 = (0/255, 43/255, 50/255)
BAR_COL = (0.639, 0.639, 0.639)
def set():
#sns.set() <--... | 0 | 0 | 0 | 0 | 0 | 2,221 | 0 | 10 | 158 |
d94019710e3a00ceb6d7adda682f4c33170b887d | 324 | py | Python | {{cookiecutter.project_slug}}/src/users/tests/test_whoami.py | nvo87/django | fd07fb74ab59e868c73512cd0ca4952129b44cd8 | [
"MIT"
] | 98 | 2020-04-21T20:22:16.000Z | 2021-06-07T12:33:51.000Z | {{cookiecutter.project_slug}}/src/users/tests/test_whoami.py | nvo87/django | fd07fb74ab59e868c73512cd0ca4952129b44cd8 | [
"MIT"
] | 70 | 2020-04-21T21:59:49.000Z | 2021-06-13T13:35:01.000Z | {{cookiecutter.project_slug}}/src/users/tests/test_whoami.py | ginsenghillock/django | 65ab4f52897ca7efdfde347383153fca4f2d2c14 | [
"MIT"
] | 23 | 2020-04-23T06:03:13.000Z | 2021-06-09T06:59:34.000Z | import pytest
pytestmark = [pytest.mark.django_db]
| 19.058824 | 60 | 0.66358 | import pytest
pytestmark = [pytest.mark.django_db]
def test_ok(as_user, user):
got = as_user.get('/api/v1/users/me/')
assert got['id'] == user.pk
assert got['username'] == user.username
def test_anon(as_anon):
got = as_anon.get('/api/v1/users/me/', as_response=True)
assert got.status_code == ... | 0 | 0 | 0 | 0 | 0 | 224 | 0 | 0 | 46 |
c2b33a793ad163ec1d6be7cac26ed7a94c6f9d30 | 1,559 | py | Python | aiosmf/smf/rpc/dynamic_header.py | noahdesu/aiosmf | 72ff874a2750c253cf7c0154c2a676e521bea7ce | [
"Apache-2.0"
] | 1 | 2019-03-30T17:22:08.000Z | 2019-03-30T17:22:08.000Z | aiosmf/smf/rpc/dynamic_header.py | senior7515/aiosmf | 72ff874a2750c253cf7c0154c2a676e521bea7ce | [
"Apache-2.0"
] | 6 | 2019-03-30T17:58:52.000Z | 2019-04-09T13:09:49.000Z | aiosmf/smf/rpc/dynamic_header.py | noahdesu/aiosmf | 72ff874a2750c253cf7c0154c2a676e521bea7ce | [
"Apache-2.0"
] | 2 | 2019-03-31T14:09:40.000Z | 2022-03-22T16:51:18.000Z | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: rpc
# /// \brief used for extra headers, ala HTTP
# /// The use case for the core is to support
# /// zipkin/google-Dapper style tracing
| 35.431818 | 140 | 0.704298 | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: rpc
import flatbuffers
# /// \brief used for extra headers, ala HTTP
# /// The use case for the core is to support
# /// zipkin/google-Dapper style tracing
class dynamic_header(object):
__slots__ = ['_tab']
@classmethod
de... | 0 | 196 | 0 | 707 | 0 | 304 | 0 | -3 | 134 |
f20094ac6ecfc85b1a237048817b89f64de8c4f5 | 4,898 | py | Python | tools/evaluate/track_proto_evaluate.py | myfavouritekk/TPN | b346774cddeb0b9e0c1d8ed1f91a69f00436456d | [
"MIT"
] | 74 | 2017-04-07T04:06:52.000Z | 2022-01-30T01:40:10.000Z | tools/evaluate/track_proto_evaluate.py | wulongyuan/TPN | b346774cddeb0b9e0c1d8ed1f91a69f00436456d | [
"MIT"
] | 8 | 2017-07-19T06:54:02.000Z | 2018-08-28T07:38:52.000Z | tools/evaluate/track_proto_evaluate.py | wulongyuan/TPN | b346774cddeb0b9e0c1d8ed1f91a69f00436456d | [
"MIT"
] | 28 | 2017-04-07T03:50:52.000Z | 2019-02-28T04:18:15.000Z | #!/usr/bin/env python
import argparse
import os
import os.path as osp
import glob
import numpy as np
import sys
import cPickle
from time import time
this_dir = osp.dirname(__file__)
sys.path.insert(0, osp.join(this_dir, '../../external/py-faster-rcnn/lib/'))
sys.path.insert(0, osp.join(this_dir, '../../src'))
sys.path... | 41.508475 | 92 | 0.606778 | #!/usr/bin/env python
import argparse
import os
import os.path as osp
import glob
import numpy as np
import sys
import cPickle
from time import time
this_dir = osp.dirname(__file__)
sys.path.insert(0, osp.join(this_dir, '../../external/py-faster-rcnn/lib/'))
sys.path.insert(0, osp.join(this_dir, '../../src'))
sys.path... | 0 | 0 | 0 | 0 | 0 | 816 | 0 | 0 | 23 |
1c60b18e5b2ea2aef181e331209ccde98b184675 | 451 | py | Python | mindhome_alpha/erpnext/patches/v13_0/add_po_to_global_search.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | mindhome_alpha/erpnext/patches/v13_0/add_po_to_global_search.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | null | null | null | mindhome_alpha/erpnext/patches/v13_0/add_po_to_global_search.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | from __future__ import unicode_literals
| 25.055556 | 82 | 0.738359 | from __future__ import unicode_literals
import frappe
def execute():
global_search_settings = frappe.get_single("Global Search Settings")
if "Purchase Order" in (
dt.document_type for dt in global_search_settings.allowed_in_global_search
):
return
global_search_settings.append(
... | 0 | 0 | 0 | 0 | 0 | 373 | 0 | -8 | 45 |
d0c87b6684335749368b5ef0252dbf7af689cfa3 | 366 | py | Python | tools/is_prime.py | lucasayres/python-tools | 686b84986aae1b1714fa5645b1f2a3fd6ef8355d | [
"MIT"
] | 71 | 2018-06-28T17:38:15.000Z | 2022-02-08T17:42:42.000Z | tools/is_prime.py | DalavanCloud/python-tools | 686b84986aae1b1714fa5645b1f2a3fd6ef8355d | [
"MIT"
] | null | null | null | tools/is_prime.py | DalavanCloud/python-tools | 686b84986aae1b1714fa5645b1f2a3fd6ef8355d | [
"MIT"
] | 14 | 2018-07-08T03:29:29.000Z | 2022-03-22T21:04:39.000Z | # -*- coding: utf-8 -*-
def is_prime(number):
"""Check if a number is a prime number.
Args:
number (int): Number.
Returns:
bool: Return True if number is a prime number and False if not.
"""
if number <= 1:
return False
for x in range(2, number):
if not number ... | 20.333333 | 71 | 0.54918 | # -*- coding: utf-8 -*-
def is_prime(number):
"""Check if a number is a prime number.
Args:
number (int): Number.
Returns:
bool: Return True if number is a prime number and False if not.
"""
if number <= 1:
return False
for x in range(2, number):
if not number ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
81d055c649c5fd50879a07d7ea549d30ab3fdf38 | 2,884 | py | Python | runfile/appstore.py | mhdahsan2000/AppScraper2.0 | 3bc53273ace6f2fe772d2c0c379a6a254cfa05b2 | [
"MIT"
] | 2 | 2021-11-12T08:28:21.000Z | 2021-11-27T02:17:07.000Z | runfile/appstore.py | mhdahsan2000/AppScraper2.0 | 3bc53273ace6f2fe772d2c0c379a6a254cfa05b2 | [
"MIT"
] | null | null | null | runfile/appstore.py | mhdahsan2000/AppScraper2.0 | 3bc53273ace6f2fe772d2c0c379a6a254cfa05b2 | [
"MIT"
] | null | null | null | """
Created on Thu Aug 2 19:42:10 2021
@author: Mohammed Ahsan
-------------------------------------------------------
APP REVIEW SCRAPER - ioS and google Store.
version : 1.0
Build name : RedSparrow -----
-------------------------------------------------------
"""
from app_store_scraper import AppStore
import json... | 26.458716 | 253 | 0.668169 | """
Created on Thu Aug 2 19:42:10 2021
@author: Mohammed Ahsan
-------------------------------------------------------
APP REVIEW SCRAPER - ioS and google Store.
version : 1.0
Build name : RedSparrow -----
-------------------------------------------------------
"""
from app_store_scraper import AppStore
from pprint... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 44 |