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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fec111f93a51990a6580549279d4bc1fdb55d776 | 788 | py | Python | pyvisdk/esxcli/handlers/ha_cli_handler_storage_core_path_stats.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/esxcli/handlers/ha_cli_handler_storage_core_path_stats.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null | pyvisdk/esxcli/handlers/ha_cli_handler_storage_core_path_stats.py | Infinidat/pyvisdk | f2f4e5f50da16f659ccc1d84b6a00f397fa997f8 | [
"MIT"
] | null | null | null |
from pyvisdk.esxcli.executer import execute_soap
from pyvisdk.esxcli.base import Base
class StorageCorePathStats(Base):
'''
Stats operations pertaining to the pluggable storage architectures' device paths on the system.
'''
moid = 'ha-cli-handler-storage-core-path-stats'
def get(self, path=None):... | 43.777778 | 129 | 0.649746 |
from pyvisdk.esxcli.executer import execute_soap
from pyvisdk.esxcli.base import Base
class StorageCorePathStats(Base):
'''
Stats operations pertaining to the pluggable storage architectures' device paths on the system.
'''
moid = 'ha-cli-handler-storage-core-path-stats'
def get(self, path=None):... | 0 | 0 | 0 |
72231b2c2e74d2130235d5ec9abb2e7fa0bfae55 | 269 | py | Python | src/yellowdog_client/model/compute_source_traits_filter.py | yellowdog/yellowdog-sdk-python-public | da69a7d6e45c92933e34fefcaef8b5d98dcd6036 | [
"Apache-2.0"
] | null | null | null | src/yellowdog_client/model/compute_source_traits_filter.py | yellowdog/yellowdog-sdk-python-public | da69a7d6e45c92933e34fefcaef8b5d98dcd6036 | [
"Apache-2.0"
] | null | null | null | src/yellowdog_client/model/compute_source_traits_filter.py | yellowdog/yellowdog-sdk-python-public | da69a7d6e45c92933e34fefcaef8b5d98dcd6036 | [
"Apache-2.0"
] | null | null | null | from dataclasses import dataclass
from typing import Optional
@dataclass
| 24.454545 | 43 | 0.765799 | from dataclasses import dataclass
from typing import Optional
@dataclass
class ComputeSourceTraitsFilter:
canStopStart: Optional[bool] = None
canRestart: Optional[bool] = None
canScaleOut: Optional[bool] = None
isSelfMaintained: Optional[bool] = None
| 0 | 172 | 22 |
7a27cbd111b959281707eb4f759182f97a7d02d6 | 32,025 | py | Python | opengl/gl/raw/gl_2_0.py | SilentPenguin/OpenGL.py | dd16bf7ea2fa20a7ea489e711a5df20d604c34dc | [
"Apache-2.0"
] | 1 | 2016-11-09T06:11:24.000Z | 2016-11-09T06:11:24.000Z | opengl/gl/raw/gl_2_0.py | SilentPenguin/OpenGL.py | dd16bf7ea2fa20a7ea489e711a5df20d604c34dc | [
"Apache-2.0"
] | 3 | 2016-11-09T06:21:08.000Z | 2016-11-18T15:17:22.000Z | opengl/gl/raw/gl_2_0.py | SilentPenguin/OpenGL.py | dd16bf7ea2fa20a7ea489e711a5df20d604c34dc | [
"Apache-2.0"
] | null | null | null | #BEWARE: automatically generated code
#This code was generated by /generate/__main__.py
from opengl.gl.raw.bindings import *
@accepts(t.enum, t.enum)
@returns(t.void)
@binds(dll)
def blend_equation_separate(modergb, modealpha):
'''
set the RGB blend equation and the alpha blend equation separately.
A... | 30.675287 | 94 | 0.714379 | #BEWARE: automatically generated code
#This code was generated by /generate/__main__.py
from opengl.gl.raw.bindings import *
@accepts(t.enum, t.enum)
@returns(t.void)
@binds(dll)
def blend_equation_separate(modergb, modealpha):
'''
set the RGB blend equation and the alpha blend equation separately.
A... | 1,535 | 0 | 1,386 |
46197a584db2c1a4a57c3ce00e14574ba08eaec0 | 1,353 | py | Python | presearch_trrosetta/prepare/crawling.py | jobc90/Protein-Resarch | 0b3d9366cc66fdc50e791991c323de1ae7840a61 | [
"MIT"
] | null | null | null | presearch_trrosetta/prepare/crawling.py | jobc90/Protein-Resarch | 0b3d9366cc66fdc50e791991c323de1ae7840a61 | [
"MIT"
] | null | null | null | presearch_trrosetta/prepare/crawling.py | jobc90/Protein-Resarch | 0b3d9366cc66fdc50e791991c323de1ae7840a61 | [
"MIT"
] | 2 | 2021-06-29T00:06:50.000Z | 2021-06-29T04:21:49.000Z | from bs4 import BeautifulSoup
from urllib import request
from urllib.error import HTTPError
import tqdm
import os
import argparse
if __name__ == '__main__':
main() | 30.066667 | 86 | 0.617886 | from bs4 import BeautifulSoup
from urllib import request
from urllib.error import HTTPError
import tqdm
import os
import argparse
def get_download(url, fname):
try:
request.urlretrieve(url, fname)
except HTTPError as e:
print('error')
return
def get_casp_data(casps, downl... | 1,096 | 0 | 75 |
b413c46d5bf2d1d42f0aa6e600f5711c0f78b565 | 1,269 | py | Python | app/src/main/python/make_first_page.py | 108360224/watch_video | bfbcd0fbe617eceb974d8c1e9c976f47ad7b0814 | [
"MIT"
] | null | null | null | app/src/main/python/make_first_page.py | 108360224/watch_video | bfbcd0fbe617eceb974d8c1e9c976f47ad7b0814 | [
"MIT"
] | null | null | null | app/src/main/python/make_first_page.py | 108360224/watch_video | bfbcd0fbe617eceb974d8c1e9c976f47ad7b0814 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat May 2 11:26:18 2020
@author: max
"""
import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import requests | 32.538462 | 117 | 0.62569 | # -*- coding: utf-8 -*-
"""
Created on Sat May 2 11:26:18 2020
@author: max
"""
import cv2
import numpy as np
from PIL import Image, ImageDraw, ImageFont
import requests
def make_first_page(src,text):
def cv2ImgAddText(img, text, left, top, textColor=(0, 0, 0), textSize=10):
if (isinstance(img, np.ndarray... | 1,092 | 0 | 22 |
80326bb606fdfb5c3b5b1a0edb1e62da0bed7444 | 2,413 | py | Python | tests/config_test.py | alex/asciinema | ff23896174c07719d3b2ace6320a193934a0ac71 | [
"MIT"
] | 1 | 2015-11-08T13:00:51.000Z | 2015-11-08T13:00:51.000Z | tests/config_test.py | alex/asciinema | ff23896174c07719d3b2ace6320a193934a0ac71 | [
"MIT"
] | null | null | null | tests/config_test.py | alex/asciinema | ff23896174c07719d3b2ace6320a193934a0ac71 | [
"MIT"
] | null | null | null | from nose.tools import assert_equal
import os
import tempfile
import re
from asciinema.config import Config
| 32.608108 | 76 | 0.645669 | from nose.tools import assert_equal
import os
import tempfile
import re
from asciinema.config import Config
def create_config(content=None, overrides={}):
dir = tempfile.mkdtemp()
path = dir + '/config'
if content:
with open(path, 'w') as f:
f.write(content)
return Config(path,... | 1,981 | 4 | 316 |
fcd925ed6692d34e5f41292cc768682829c1cd50 | 4,707 | py | Python | decoder/utils.py | Am473ur/HexQBot | 0c9605ec972ff43ce626a257bc087bf614379d6d | [
"Apache-2.0"
] | 20 | 2020-07-13T17:18:41.000Z | 2022-03-02T01:21:58.000Z | decoder/utils.py | Am473ur/HexQBot | 0c9605ec972ff43ce626a257bc087bf614379d6d | [
"Apache-2.0"
] | 1 | 2020-07-14T15:26:02.000Z | 2020-07-17T15:07:01.000Z | decoder/utils.py | Am473ur/HexQBot | 0c9605ec972ff43ce626a257bc087bf614379d6d | [
"Apache-2.0"
] | 2 | 2020-11-17T13:10:13.000Z | 2020-11-17T13:30:47.000Z | import requests
from base64 import b32encode, b32decode, b64encode, b64decode, b85encode, b85decode
from base58 import b58decode, b58encode
import base91
import hashlib
import json
def ensure_str(s, encoding='utf-8', errors='strict'):
"""Coerce *s* to `str`.
For Python 3:
- `str` -> `str`
- `byte... | 37.959677 | 102 | 0.577438 | import requests
from base64 import b32encode, b32decode, b64encode, b64decode, b85encode, b85decode
from base58 import b58decode, b58encode
import base91
import hashlib
import json
def ensure_str(s, encoding='utf-8', errors='strict'):
"""Coerce *s* to `str`.
For Python 3:
- `str` -> `str`
- `byte... | 3,839 | 0 | 253 |
51318ed4899cccb49c4022e5edbbaa06ce91410f | 6,879 | py | Python | model_neu/princeton/mod_1.py | lelange/cu-ssp | 9f1a7abf79a2fb6ef2ae0f37de79469c2dc3488f | [
"MIT"
] | null | null | null | model_neu/princeton/mod_1.py | lelange/cu-ssp | 9f1a7abf79a2fb6ef2ae0f37de79469c2dc3488f | [
"MIT"
] | null | null | null | model_neu/princeton/mod_1.py | lelange/cu-ssp | 9f1a7abf79a2fb6ef2ae0f37de79469c2dc3488f | [
"MIT"
] | null | null | null | """
Cascaded Convolution Model
- Pranav Shrestha (ps2958)
- Jeffrey Wan (jw3468)
"""
import pickle
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from keras.preprocessing import text, sequence
from keras.preprocessing.text import Tokenizer
from keras.utils import to_categorical
from keras.mo... | 34.918782 | 120 | 0.725687 | """
Cascaded Convolution Model
- Pranav Shrestha (ps2958)
- Jeffrey Wan (jw3468)
"""
import pickle
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from keras.preprocessing import text, sequence
from keras.preprocessing.text import Tokenizer
from keras.utils import to_categorical
from keras.mo... | 1,690 | 0 | 69 |
67426b9d856287309ee4d0aa254d80958bd28adc | 689 | py | Python | stage1/Criteria.py | zyl1205/mywork | 04b02b5f72dde17f094b169459385ca8635ecb95 | [
"MIT"
] | null | null | null | stage1/Criteria.py | zyl1205/mywork | 04b02b5f72dde17f094b169459385ca8635ecb95 | [
"MIT"
] | null | null | null | stage1/Criteria.py | zyl1205/mywork | 04b02b5f72dde17f094b169459385ca8635ecb95 | [
"MIT"
] | null | null | null | #
#author :Sachin Mehta
#Description : This repository contains source code for semantically segmenting WSIs; however, it could be easily
# adapted for other domains such as natural image segmentation
#File Description: This file implements the Cross entropy loss for 2D data.
#===========... | 34.45 | 117 | 0.624093 | #
#author :Sachin Mehta
#Description : This repository contains source code for semantically segmenting WSIs; however, it could be easily
# adapted for other domains such as natural image segmentation
#File Description: This file implements the Cross entropy loss for 2D data.
#===========... | 142 | 15 | 77 |
aba6561375f6e3d6efb4747ad67f9608dec2e9bc | 2,419 | py | Python | aardvark/aardvark_connection.py | dalyIsaac/PIM_Mini_Tests | 6929d2ab2e580333fb8a5487a752d9961da91978 | [
"Unlicense"
] | null | null | null | aardvark/aardvark_connection.py | dalyIsaac/PIM_Mini_Tests | 6929d2ab2e580333fb8a5487a752d9961da91978 | [
"Unlicense"
] | null | null | null | aardvark/aardvark_connection.py | dalyIsaac/PIM_Mini_Tests | 6929d2ab2e580333fb8a5487a752d9961da91978 | [
"Unlicense"
] | null | null | null | """
Defines the abstract class Aardvark Connection, which is used by child classes
to test the I2C and SPI connections.
"""
from abc import ABCMeta, abstractmethod
import unittest
from aardvark_py import aa_find_devices_ext, aa_open, aa_close, AA_PORT_NOT_FREE
class AardvarkConnection(unittest.TestCase):
"""
... | 32.253333 | 86 | 0.641174 | """
Defines the abstract class Aardvark Connection, which is used by child classes
to test the I2C and SPI connections.
"""
from abc import ABCMeta, abstractmethod
import unittest
from aardvark_py import aa_find_devices_ext, aa_open, aa_close, AA_PORT_NOT_FREE
class AardvarkConnection(unittest.TestCase):
"""
... | 164 | 0 | 27 |
2489033ff8cd99e1f60ac2c043d6d3a6b725a1e8 | 2,117 | py | Python | Nut-defect-detection/dataset.py | GT-AcerZhang/Dive-into-Computer-Vision-in-PaddlePaddle2.0 | a0ee2058996bd2cac4e46bb4c0d93520251173fd | [
"Apache-2.0"
] | 5 | 2020-12-06T12:48:29.000Z | 2021-02-27T16:45:50.000Z | Nut-defect-detection/dataset.py | GT-AcerZhang/Dive-into-Computer-Vision-in-PaddlePaddle2.0 | a0ee2058996bd2cac4e46bb4c0d93520251173fd | [
"Apache-2.0"
] | null | null | null | Nut-defect-detection/dataset.py | GT-AcerZhang/Dive-into-Computer-Vision-in-PaddlePaddle2.0 | a0ee2058996bd2cac4e46bb4c0d93520251173fd | [
"Apache-2.0"
] | 2 | 2021-02-22T06:36:54.000Z | 2021-03-05T09:32:03.000Z | #!/usr/bin/env python
# _*_coding:utf-8 _*_
#@Time :2020/12/8 13:52
#@Author :Wenbo
#@FileName: dataset.py.py
import numpy as np
from PIL import Image
from paddle.io import Dataset
import paddle.vision.transforms as T
import paddle as pd
class MyDataset(Dataset):
"""
步骤一：继承paddle.io.Dataset... | 32.075758 | 100 | 0.529523 | #!/usr/bin/env python
# _*_coding:utf-8 _*_
#@Time :2020/12/8 13:52
#@Author :Wenbo
#@FileName: dataset.py.py
import numpy as np
from PIL import Image
from paddle.io import Dataset
import paddle.vision.transforms as T
import paddle as pd
class MyDataset(Dataset):
"""
步骤一：继承paddle.io.Dataset... | 1,047 | 0 | 55 |
603c6f5c42f519d2b48f8c534d7356c54de50fb9 | 3,816 | py | Python | avatar2/targets/gdb_target.py | m3lixir-nyu/avatar2 | fde07d1efa4b5ae6f3be5f19ae508ff19ed840d0 | [
"Apache-2.0"
] | 16 | 2020-12-14T21:31:25.000Z | 2022-01-26T03:21:40.000Z | avatar2/targets/gdb_target.py | m3lixir-nyu/avatar2 | fde07d1efa4b5ae6f3be5f19ae508ff19ed840d0 | [
"Apache-2.0"
] | 3 | 2021-07-27T19:36:05.000Z | 2021-12-31T02:20:53.000Z | avatar2/targets/gdb_target.py | m3lixir-nyu/avatar2 | fde07d1efa4b5ae6f3be5f19ae508ff19ed840d0 | [
"Apache-2.0"
] | 8 | 2020-12-30T13:55:20.000Z | 2022-01-17T03:20:36.000Z | from avatar2.targets import Target, TargetStates
from avatar2.protocols.gdb import GDBProtocol
from .target import action_valid_decorator_factory, synchronize_state
from ..watchmen import watch
| 39.75 | 85 | 0.587264 | from avatar2.targets import Target, TargetStates
from avatar2.protocols.gdb import GDBProtocol
from .target import action_valid_decorator_factory, synchronize_state
from ..watchmen import watch
class GDBTarget(Target):
def __init__(self, avatar,
gdb_executable=None, gdb_additional_args=None,
... | 3,134 | 459 | 23 |
0000fa8f2d70592b5ba91e1ed71c42ac79a16509 | 67 | py | Python | starfiles/deneme.py | harunlakodla/Flutter_Python-flutter_python | 9dfa020fd73bff3bcf965476060ca441349ba96b | [
"Apache-2.0"
] | 10 | 2020-02-02T21:47:34.000Z | 2022-02-05T23:55:15.000Z | starfiles/deneme.py | harunlakodla/Flutter_Python-flutter_python | 9dfa020fd73bff3bcf965476060ca441349ba96b | [
"Apache-2.0"
] | 1 | 2021-11-02T10:43:48.000Z | 2021-11-02T10:43:48.000Z | starfiles/deneme.py | harunlakodla/Flutter_Python-flutter_python | 9dfa020fd73bff3bcf965476060ca441349ba96b | [
"Apache-2.0"
] | null | null | null | print("merhaba")
print("merhaba")
print("merhaba")
print("merhaba") | 16.75 | 16 | 0.716418 | print("merhaba")
print("merhaba")
print("merhaba")
print("merhaba") | 0 | 0 | 0 |
57f17179953aaaea6b6d3ab5a3fb3b7c60c6592d | 5,849 | py | Python | pulsar/system/MakeSystem.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | pulsar/system/MakeSystem.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | pulsar/system/MakeSystem.py | pulsar-chem/BPModule | f8e64e04fdb01947708f098e833600c459c2ff0e | [
"BSD-3-Clause"
] | null | null | null | import re
import math
from copy import deepcopy
import pulsar as psr
from . import ApplyBasisSet
def make_system(SomeString):
"""This function turns a string into a system object, which it then returns
Special thanks to Lori A. Burns for the original version of this function
============================... | 37.980519 | 156 | 0.569328 | import re
import math
from copy import deepcopy
import pulsar as psr
from . import ApplyBasisSet
def make_system(SomeString):
"""This function turns a string into a system object, which it then returns
Special thanks to Lori A. Burns for the original version of this function
============================... | 22 | 0 | 31 |
c0a33a51c188efb2dd00413f01239574867164e0 | 1,336 | py | Python | individual1.py | MaksimSimanskiy/4.2 | 3fb83a11211383411333994dd19073e0073e9145 | [
"MIT"
] | null | null | null | individual1.py | MaksimSimanskiy/4.2 | 3fb83a11211383411333994dd19073e0073e9145 | [
"MIT"
] | null | null | null | individual1.py | MaksimSimanskiy/4.2 | 3fb83a11211383411333994dd19073e0073e9145 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Поле first — целое число, целая часть числа; поле second — положительное целое число,
дробная часть числа. Реализовать метод multiply() — умножение на произвольное целое
число типа int. Метод должен правильно работать при любых допустимых значениях first и
seco... | 27.833333 | 87 | 0.592814 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Поле first — целое число, целая часть числа; поле second — положительное целое число,
дробная часть числа. Реализовать метод multiply() — умножение на произвольное целое
число типа int. Метод должен правильно работать при любых допустимых значениях first и
seco... | 742 | -10 | 199 |
62875e32dfa94934b88145781d02debe2392ae0e | 5,345 | py | Python | app.py | abhishekshree/FlaskLearnApp | eb201b3f414c482dffe860397ffb64a5e2b4b826 | [
"MIT"
] | null | null | null | app.py | abhishekshree/FlaskLearnApp | eb201b3f414c482dffe860397ffb64a5e2b4b826 | [
"MIT"
] | 2 | 2020-05-09T19:37:11.000Z | 2020-05-09T19:37:11.000Z | app.py | abhishekshree/FlaskLearnApp | eb201b3f414c482dffe860397ffb64a5e2b4b826 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, redirect, url_for, request, make_response
from flask_bootstrap import Bootstrap
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField
from wtforms.validators import InputRequired , Email, Length
from flask_sqlalchemy import SQLAlchemy
from... | 26.073171 | 108 | 0.731712 | from flask import Flask, render_template, redirect, url_for, request, make_response
from flask_bootstrap import Bootstrap
from flask_wtf import FlaskForm
from wtforms import StringField, PasswordField, BooleanField
from wtforms.validators import InputRequired , Email, Length
from flask_sqlalchemy import SQLAlchemy
from... | 2,298 | 1,154 | 489 |
fdb576221b2d5230c3aac5e421189c05dcfd9cb2 | 3,484 | py | Python | odoo/doc/_extensions/github_link.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | 1 | 2019-12-29T11:53:56.000Z | 2019-12-29T11:53:56.000Z | odoo/doc/_extensions/github_link.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | null | null | null | odoo/doc/_extensions/github_link.py | tuanquanghpvn/odoo8-tutorial | 52d25f1ca5f233c431cb9d3b24b79c3b4fb5127e | [
"MIT"
] | null | null | null | import inspect
import importlib
import os.path
from urlparse import urlunsplit
"""
* adds github_link(mode) context variable: provides URL (in relevant mode) of
current document on github
* if sphinx.ext.linkcode is enabled, automatically generates github linkcode
links (by setting config.linkcode_resolve)
Settin... | 33.180952 | 96 | 0.652411 | import inspect
import importlib
import os.path
from urlparse import urlunsplit
"""
* adds github_link(mode) context variable: provides URL (in relevant mode) of
current document on github
* if sphinx.ext.linkcode is enabled, automatically generates github linkcode
links (by setting config.linkcode_resolve)
Settin... | 1,992 | 0 | 46 |
064db3c7022248cee48f4a39a959f0cf7a675d53 | 1,197 | py | Python | examples/annotation_with_sed3.py | vlukes/io3d | 34d048b7f737a5e56610879f6ab103128e8f0750 | [
"MIT"
] | 8 | 2016-09-26T01:35:15.000Z | 2022-02-23T04:05:23.000Z | examples/annotation_with_sed3.py | vlukes/io3d | 34d048b7f737a5e56610879f6ab103128e8f0750 | [
"MIT"
] | 4 | 2016-05-18T11:04:56.000Z | 2018-10-24T11:03:03.000Z | examples/annotation_with_sed3.py | vlukes/io3d | 34d048b7f737a5e56610879f6ab103128e8f0750 | [
"MIT"
] | 6 | 2017-03-24T20:43:21.000Z | 2021-08-23T06:05:34.000Z | #! /usr/bin/python
# -*- coding: utf-8 -*-
"""
Module is used for visualization of segmentation stored in pkl, dcm and other files.
"""
from loguru import logger
import io3d
import sed3
import numpy as np
pth = io3d.datasets.join_path("medical", "orig", "3Dircadb1.1", "PATIENT_DICOM", get_root=True)
datap = io3d.read... | 27.204545 | 102 | 0.695071 | #! /usr/bin/python
# -*- coding: utf-8 -*-
"""
Module is used for visualization of segmentation stored in pkl, dcm and other files.
"""
from loguru import logger
import io3d
import sed3
import numpy as np
pth = io3d.datasets.join_path("medical", "orig", "3Dircadb1.1", "PATIENT_DICOM", get_root=True)
datap = io3d.read... | 0 | 0 | 0 |
e9c9f3a6a08c24056c1db55707573ce350484ce4 | 8,323 | py | Python | tasks.py | lagmoellertim/ImageShare-DesktopApp | 348ad4a07c790ecb218042e59acf51421e093434 | [
"MIT"
] | 8 | 2018-03-25T22:02:24.000Z | 2021-04-26T22:07:02.000Z | tasks.py | lagmoellertim/ImageShare-DesktopApp | 348ad4a07c790ecb218042e59acf51421e093434 | [
"MIT"
] | null | null | null | tasks.py | lagmoellertim/ImageShare-DesktopApp | 348ad4a07c790ecb218042e59acf51421e093434 | [
"MIT"
] | 1 | 2018-05-24T05:15:43.000Z | 2018-05-24T05:15:43.000Z | from threading import Thread
import gui
from tools import clipboard, qrcode, generate_token
import os
import tempfile
import uuid
import time
import shutil
import tkinter as tk
from tkinter.filedialog import asksaveasfilename
from tkinter.messagebox import askyesno
class Gallery(Thread):
"""
The Gallery clas... | 34.251029 | 118 | 0.606392 | from threading import Thread
import gui
from tools import clipboard, qrcode, generate_token
import os
import tempfile
import uuid
import time
import shutil
import tkinter as tk
from tkinter.filedialog import asksaveasfilename
from tkinter.messagebox import askyesno
class Gallery(Thread):
"""
The Gallery clas... | 0 | 0 | 0 |
e98e9ebf2c5f8b253553d891592684f474c1e66c | 691 | py | Python | nodedata/migrations/0006_peer.py | bartromgens/bitcoinnodestats | 04f9f6b4e3c7d9dd236476c558357ea9353aa022 | [
"MIT"
] | 17 | 2016-05-12T20:49:10.000Z | 2020-04-07T07:28:50.000Z | nodedata/migrations/0006_peer.py | bartromgens/bitcoinnodestats | 04f9f6b4e3c7d9dd236476c558357ea9353aa022 | [
"MIT"
] | 7 | 2016-05-13T15:09:15.000Z | 2021-06-10T19:09:06.000Z | nodedata/migrations/0006_peer.py | bartromgens/bitcoinnodestats | 04f9f6b4e3c7d9dd236476c558357ea9353aa022 | [
"MIT"
] | 5 | 2016-05-13T10:11:49.000Z | 2020-04-10T22:32:38.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-05-12 00:31
from __future__ import unicode_literals
from django.db import migrations, models
import jsonfield.fields
| 27.64 | 114 | 0.616498 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.6 on 2016-05-12 00:31
from __future__ import unicode_literals
from django.db import migrations, models
import jsonfield.fields
class Migration(migrations.Migration):
dependencies = [
('nodedata', '0005_rawnodedata_networkinfo_json'),
]
operation... | 0 | 489 | 23 |
d7ad1cdd8d8d266811acb2b8890656f37cb77f04 | 9,250 | py | Python | utils/pghelp.py | transfaeries/forest | e92ffcebf1b3adfebb8006b215e292973b7ca39d | [
"MIT"
] | null | null | null | utils/pghelp.py | transfaeries/forest | e92ffcebf1b3adfebb8006b215e292973b7ca39d | [
"MIT"
] | 1 | 2022-03-09T10:02:31.000Z | 2022-03-09T10:02:31.000Z | utils/pghelp.py | transfaeries/forest | e92ffcebf1b3adfebb8006b215e292973b7ca39d | [
"MIT"
] | null | null | null | #!/usr/bin/python3.9
# Copyright (c) 2021 MobileCoin Inc.
# Copyright (c) 2021 The Forest Team
import asyncio
import copy
import logging
import os
from contextlib import asynccontextmanager
from typing import Any, AsyncGenerator, Callable, Optional, Union
try:
import asyncpg
DUMMY = False
except ImportError:... | 37.601626 | 128 | 0.585297 | #!/usr/bin/python3.9
# Copyright (c) 2021 MobileCoin Inc.
# Copyright (c) 2021 The Forest Team
import asyncio
import copy
import logging
import os
from contextlib import asynccontextmanager
from typing import Any, AsyncGenerator, Callable, Optional, Union
try:
import asyncpg
DUMMY = False
except ImportError:... | 2,316 | 84 | 234 |
5b9e759af14b63b1adeea004fac45e99e0507638 | 6,679 | py | Python | src/modules/php/visitors/resolvers.py | Mause/PHP-Parsers | 9fac9827fa34a48e1d514520bb7b8be7c0fd2156 | [
"MIT"
] | 11 | 2020-06-27T12:46:32.000Z | 2022-02-20T00:08:50.000Z | src/modules/php/visitors/resolvers.py | Mause/PHP-Parsers | 9fac9827fa34a48e1d514520bb7b8be7c0fd2156 | [
"MIT"
] | null | null | null | src/modules/php/visitors/resolvers.py | Mause/PHP-Parsers | 9fac9827fa34a48e1d514520bb7b8be7c0fd2156 | [
"MIT"
] | 5 | 2020-06-28T21:42:36.000Z | 2022-02-20T00:11:43.000Z | """Visitors that make certain mutations to the AST"""
import sys
import os
from src.modules.php import syntax_tree
from src.modules.php.base import Visitor
from src.compiler.php import phpast
class DependencyResolver(Visitor):
"""Expands the tree by augmenting the ASTs for files added in it using
Include... | 39.288235 | 116 | 0.634077 | """Visitors that make certain mutations to the AST"""
import sys
import os
from src.modules.php import syntax_tree
from src.modules.php.base import Visitor
from src.compiler.php import phpast
class CircularImport(phpast.Node):
fields = ["file_name"]
def __init__(self, child_path, looping_tree):
self.... | 4,888 | 106 | 337 |
e3187245c38ccf41c17c623c9a0298ed26314124 | 547 | py | Python | decider.py | matez0/decide-raw | 1ad4aeb80539b2713eae62466d6672dd0d7711d6 | [
"MIT"
] | null | null | null | decider.py | matez0/decide-raw | 1ad4aeb80539b2713eae62466d6672dd0d7711d6 | [
"MIT"
] | null | null | null | decider.py | matez0/decide-raw | 1ad4aeb80539b2713eae62466d6672dd0d7711d6 | [
"MIT"
] | null | null | null | # coding: utf-8
#
# Copyright (c) 2019 Zoltán Máté
# All Rights Reserved.
#
# Author: Zoltán Máté <mate.zoltan0@gmail.com>
#
| 24.863636 | 81 | 0.674589 | # coding: utf-8
#
# Copyright (c) 2019 Zoltán Máté
# All Rights Reserved.
#
# Author: Zoltán Máté <mate.zoltan0@gmail.com>
#
def score(decider, values):
future_values = list(values)
orig_value = future_values.pop(0)
past_values = []
while future_values:
past_values.append(future_values.pop(0))
... | 375 | 0 | 46 |
40502073ddc75e5ccf9c6199875480768d1155af | 1,367 | py | Python | wezer_mail/utils.py | Abdur-rahmaanJ/wezer-mail | 6070ee45ae872961f10553a5946048cb74155ea3 | [
"MIT"
] | null | null | null | wezer_mail/utils.py | Abdur-rahmaanJ/wezer-mail | 6070ee45ae872961f10553a5946048cb74155ea3 | [
"MIT"
] | null | null | null | wezer_mail/utils.py | Abdur-rahmaanJ/wezer-mail | 6070ee45ae872961f10553a5946048cb74155ea3 | [
"MIT"
] | null | null | null | # send mail function
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.header import Header
import time
from jinja2 import Environment, FileSystemLoader
import configparser | 26.803922 | 61 | 0.678127 | # send mail function
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
from email.header import Header
import time
from jinja2 import Environment, FileSystemLoader
import configparser
def send_mail(to_, subject_, body_):
config = configparser.ConfigParser()
conf... | 1,062 | 0 | 73 |
83203dfab91326ca83bc4bf21da8b4b84b3751a4 | 3,007 | py | Python | apps/locations/models.py | rapidsms/rapidsms-legacy | 43c2ecd41fd1541a2538326edee3d9e816d84529 | [
"BSD-3-Clause"
] | null | null | null | apps/locations/models.py | rapidsms/rapidsms-legacy | 43c2ecd41fd1541a2538326edee3d9e816d84529 | [
"BSD-3-Clause"
] | null | null | null | apps/locations/models.py | rapidsms/rapidsms-legacy | 43c2ecd41fd1541a2538326edee3d9e816d84529 | [
"BSD-3-Clause"
] | 1 | 2019-11-02T19:35:54.000Z | 2019-11-02T19:35:54.000Z | #!/usr/bin/env python
# vim: ai ts=4 sts=4 et sw=4
from django.db import models
from rapidsms.webui.managers import *
class Location(models.Model):
"""A Location is technically a geopgraphical point (lat+long), but is often
used to represent a large area such as a city or state. It is recursive
v... | 37.5875 | 143 | 0.645494 | #!/usr/bin/env python
# vim: ai ts=4 sts=4 et sw=4
from django.db import models
from rapidsms.webui.managers import *
class LocationType(models.Model):
name = models.CharField(max_length=100)
class Meta:
verbose_name = "Type"
def __unicode__(self):
return self.name
class... | 152 | 143 | 107 |
4dee88957fb6c3f5eeefee590940ef8910725319 | 73 | py | Python | fisherman/overlap/all.py | BorjaRequena/Quantum-Fisherman | 57e38bfeb7b184bc60d200030a5a673e5f06fb62 | [
"Apache-2.0"
] | 6 | 2021-05-05T13:59:17.000Z | 2021-12-11T06:06:30.000Z | fisherman/overlap/all.py | BorjaRequena/Quantum-Fisherman | 57e38bfeb7b184bc60d200030a5a673e5f06fb62 | [
"Apache-2.0"
] | null | null | null | fisherman/overlap/all.py | BorjaRequena/Quantum-Fisherman | 57e38bfeb7b184bc60d200030a5a673e5f06fb62 | [
"Apache-2.0"
] | null | null | null | from .randomized import *
from .swap import *
from .comp_uncomp import *
| 18.25 | 26 | 0.753425 | from .randomized import *
from .swap import *
from .comp_uncomp import *
| 0 | 0 | 0 |
0eae708db50a092a1f792e3bbbd1ae39f97467ef | 6,730 | py | Python | kit_django/restAPICore/views.py | safakoner/kit | aec36a70137febfb5f3e3a9205ea58879736eea4 | [
"MIT"
] | 6 | 2020-06-29T20:36:15.000Z | 2021-09-08T23:34:01.000Z | kit_django/restAPICore/views.py | safakoner/kit | aec36a70137febfb5f3e3a9205ea58879736eea4 | [
"MIT"
] | 9 | 2021-03-30T13:46:29.000Z | 2022-03-12T00:38:27.000Z | kit_django/restAPICore/views.py | safakoner/kit | aec36a70137febfb5f3e3a9205ea58879736eea4 | [
"MIT"
] | 1 | 2020-07-20T18:40:24.000Z | 2020-07-20T18:40:24.000Z | #
# ----------------------------------------------------------------------------------------------------
# DESCRIPTION
# ----------------------------------------------------------------------------------------------------
#
# --------------------------------------------------------------------------------------------... | 37.597765 | 120 | 0.502823 | #
# ----------------------------------------------------------------------------------------------------
# DESCRIPTION
# ----------------------------------------------------------------------------------------------------
#
# --------------------------------------------------------------------------------------------... | 1,901 | 3,522 | 44 |
18670e302470b64e0aff41fcdc84db343061d262 | 11,285 | py | Python | model-optimizer/extensions/front/tf/CTCLossReplacement.py | Andruxin52rus/openvino | d824e371fe7dffb90e6d3d58e4e34adecfce4606 | [
"Apache-2.0"
] | 2 | 2021-02-26T15:46:19.000Z | 2021-05-16T20:48:13.000Z | model-optimizer/extensions/front/tf/CTCLossReplacement.py | Andruxin52rus/openvino | d824e371fe7dffb90e6d3d58e4e34adecfce4606 | [
"Apache-2.0"
] | 30 | 2020-11-13T11:44:07.000Z | 2022-02-21T13:03:16.000Z | model-optimizer/extensions/front/tf/CTCLossReplacement.py | mmakridi/openvino | 769bb7709597c14debdaa356dd60c5a78bdfa97e | [
"Apache-2.0"
] | 1 | 2020-12-18T15:47:45.000Z | 2020-12-18T15:47:45.000Z | """
Copyright (C) 2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... | 60.347594 | 127 | 0.652193 | """
Copyright (C) 2020 Intel Corporation
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in wri... | 9,050 | 0 | 81 |
75fc5e253de92da4a5b43457184480ef836f5afe | 253 | py | Python | gcn/csv_output.py | PeterChen607/Spectral-based-GCN-with-Attention-mechanism | dfa5798e81410440e503a636e919fb5e5214f081 | [
"MIT"
] | 3 | 2020-08-04T10:14:36.000Z | 2021-06-28T02:26:18.000Z | gcn/csv_output.py | PeterChen607/Spectral-based-GCN-with-Attention-mechanism | dfa5798e81410440e503a636e919fb5e5214f081 | [
"MIT"
] | 4 | 2020-11-13T19:00:00.000Z | 2022-02-10T02:06:46.000Z | gcn/csv_output.py | PeterChen607/Spectral-based-GCN-with-Attention-mechanism | dfa5798e81410440e503a636e919fb5e5214f081 | [
"MIT"
] | 1 | 2021-06-28T02:29:57.000Z | 2021-06-28T02:29:57.000Z | import csv | 18.071429 | 54 | 0.581028 | import csv
def csv_output(path, table):
f = open(path,'w',encoding='utf-8', newline='' "")
# 2. 基于文件对象构建 csv写入对象
csv_writer = csv.writer(f)
# 4. 写入csv文件内容
for i in table:
csv_writer.writerow(i)
# 5. 关闭文件
f.close() | 264 | 0 | 23 |
6df332d10e41fb18978a39581a88073aeb9deebf | 21,214 | py | Python | Code/TrustRegion.py | iTsingalis/torch-trust-ncg | d45b8eb8f4b45c9bdaa1801bdc9f099f90ae598e | [
"MIT"
] | null | null | null | Code/TrustRegion.py | iTsingalis/torch-trust-ncg | d45b8eb8f4b45c9bdaa1801bdc9f099f90ae598e | [
"MIT"
] | null | null | null | Code/TrustRegion.py | iTsingalis/torch-trust-ncg | d45b8eb8f4b45c9bdaa1801bdc9f099f90ae598e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# @author Vasileios Choutas
# Contact: vassilis.choutas@tuebingen.mpg.de
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from typing import NewType, List, Tuple
import torch
from torch import norm
import torch.optim as optim
impor... | 38.431159 | 119 | 0.555765 | # -*- coding: utf-8 -*-
# @author Vasileios Choutas
# Contact: vassilis.choutas@tuebingen.mpg.de
from __future__ import absolute_import
from __future__ import print_function
from __future__ import division
from typing import NewType, List, Tuple
import torch
from torch import norm
import torch.optim as optim
impor... | 5,293 | 15,468 | 46 |
0af89f7156b96ef95ef85efe8d69e2dfa62d252c | 5,356 | py | Python | chinesenotes/similarity_train.py | alexamies/chinesenotes-python | 778712e98a54860e9bb24a5111a9ca8a96644214 | [
"Apache-2.0"
] | null | null | null | chinesenotes/similarity_train.py | alexamies/chinesenotes-python | 778712e98a54860e9bb24a5111a9ca8a96644214 | [
"Apache-2.0"
] | null | null | null | chinesenotes/similarity_train.py | alexamies/chinesenotes-python | 778712e98a54860e9bb24a5111a9ca8a96644214 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "L... | 30.605714 | 86 | 0.648432 | # -*- coding: utf-8 -*-
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "L... | 766 | 0 | 23 |
5c4ff07fa09c1f57cc06fbf9936c0f7bf55c9908 | 1,693 | py | Python | script.py | Feezy15/subreddit_scraper | 9e9ec989101f13e9474234473e62493034eb7611 | [
"MIT"
] | null | null | null | script.py | Feezy15/subreddit_scraper | 9e9ec989101f13e9474234473e62493034eb7611 | [
"MIT"
] | null | null | null | script.py | Feezy15/subreddit_scraper | 9e9ec989101f13e9474234473e62493034eb7611 | [
"MIT"
] | null | null | null | """ A script that scrapes various bits of data from subreddits
"""
import praw
import requests
import os
import sqlite3
SQ_LITE_FILE = "avexchange_data.db"
def get_urls(subreddit):
""" scrape for certain keywords on a subreddit
"""
print("getting urls from r/{}".format(subreddit))
reddit = praw.Reddit... | 32.557692 | 136 | 0.627289 | """ A script that scrapes various bits of data from subreddits
"""
import praw
import requests
import os
import sqlite3
SQ_LITE_FILE = "avexchange_data.db"
def init_database():
if not os.path.isfile(os.path.dirname(os.path.abspath(__file__)) + "/{}".format(SQ_LITE_FILE)):
print("creating db {}-".format(SQ... | 459 | 0 | 23 |
5aba35ab361297d91284da0b44616c3ca2742dbb | 14,791 | py | Python | nodemonitor/agent.py | foxty/node_monitor | 2d3b8870a20cf2fe4d7ae3f4c95f2fd74da6c8e0 | [
"Apache-2.0"
] | 3 | 2018-01-09T05:58:21.000Z | 2021-07-15T13:18:10.000Z | nodemonitor/agent.py | foxty/node_monitor | 2d3b8870a20cf2fe4d7ae3f4c95f2fd74da6c8e0 | [
"Apache-2.0"
] | 14 | 2018-01-17T06:19:48.000Z | 2022-02-12T02:29:14.000Z | nodemonitor/agent.py | foxty/node-monitor | 2d3b8870a20cf2fe4d7ae3f4c95f2fd74da6c8e0 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on 2017-12-22
@author: foxty
Node Agent
"""
# ==============================
# Node Agent
# ==============================
import os
import sys
import logging
import logging.handlers
import socket
import select
import Queue as Q
import threading
from datetime im... | 34.639344 | 107 | 0.573862 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
Created on 2017-12-22
@author: foxty
Node Agent
"""
# ==============================
# Node Agent
# ==============================
import os
import sys
import logging
import logging.handlers
import socket
import select
import Queue as Q
import threading
from datetime im... | 7,974 | 4,188 | 338 |
2d94e570a5fb66ee4ea2b0b645009575fe90c529 | 4,419 | py | Python | pyroute/compress/compress.py | ftrimble/route-grower | d4343ecc9b13a3e1701c8460c8a1792d08b74567 | [
"Apache-2.0"
] | null | null | null | pyroute/compress/compress.py | ftrimble/route-grower | d4343ecc9b13a3e1701c8460c8a1792d08b74567 | [
"Apache-2.0"
] | null | null | null | pyroute/compress/compress.py | ftrimble/route-grower | d4343ecc9b13a3e1701c8460c8a1792d08b74567 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#----------------------------------------------------------------
#
#------------------------------------------------------
# Usage:
#
#------------------------------------------------------
# Copyright 2007, Oliver White
#
# This program is free software: you can redistribute it and/or modify
# it un... | 31.340426 | 218 | 0.56687 | #!/usr/bin/python
#----------------------------------------------------------------
#
#------------------------------------------------------
# Usage:
#
#------------------------------------------------------
# Copyright 2007, Oliver White
#
# This program is free software: you can redistribute it and/or modify
# it un... | 1,337 | 1,884 | 23 |
b6cfc149a70283a6388eec6ed094070716e7e105 | 5,357 | py | Python | gooey/gui/components/options/validators.py | geosaleh/Gooey | c2aa8afc269271d55f011c6bc89828992a30b3f0 | [
"MIT"
] | 1 | 2022-02-21T05:51:21.000Z | 2022-02-21T05:51:21.000Z | gooey/gui/components/options/validators.py | geosaleh/Gooey | c2aa8afc269271d55f011c6bc89828992a30b3f0 | [
"MIT"
] | 1 | 2021-12-02T07:42:03.000Z | 2021-12-02T07:42:03.000Z | gooey/gui/components/options/validators.py | geosaleh/Gooey | c2aa8afc269271d55f011c6bc89828992a30b3f0 | [
"MIT"
] | null | null | null | import re
from functools import wraps
from gooey.gui.components.filtering.prefix_filter import OperatorType
class SuperBool(object):
"""
A boolean which keeps with it the rationale
for when it is false.
"""
__nonzero__ = __bool__
def lift(f):
"""
Lifts a basic predicate to the SuperBoo... | 26.519802 | 96 | 0.663244 | import re
from functools import wraps
from gooey.gui.components.filtering.prefix_filter import OperatorType
class SuperBool(object):
"""
A boolean which keeps with it the rationale
for when it is false.
"""
def __init__(self, value, rationale):
self.value = value
self.rationale = ... | 482 | 0 | 152 |
5807257790cef3d53abb06fe45677a87bcfe3f8b | 3,812 | py | Python | server/iotud/api/devices.py | hollwann/dashboard-iot-udistrital | a92c6b65fce5c343abeffcb5badf1f4bfd9ab1f2 | [
"MIT"
] | 2 | 2020-07-02T19:09:12.000Z | 2020-07-05T00:33:55.000Z | server/iotud/api/devices.py | hollwann/dashboard-iot-udistrital | a92c6b65fce5c343abeffcb5badf1f4bfd9ab1f2 | [
"MIT"
] | 3 | 2020-07-05T00:55:08.000Z | 2022-02-27T11:29:51.000Z | server/iotud/api/devices.py | hollwann/dashboard-iot-udistrital | a92c6b65fce5c343abeffcb5badf1f4bfd9ab1f2 | [
"MIT"
] | null | null | null | import functools
from datetime import datetime
from flask import Blueprint, jsonify, request
from iotud.tools import fetch_all, fetch_one, update, insert, get_auth_props, either_response, delete
from string import ascii_lowercase
import random
from oslash import Right, Left
from toolz import accumulate, assoc, reduce
... | 35.626168 | 101 | 0.644019 | import functools
from datetime import datetime
from flask import Blueprint, jsonify, request
from iotud.tools import fetch_all, fetch_one, update, insert, get_auth_props, either_response, delete
from string import ascii_lowercase
import random
from oslash import Right, Left
from toolz import accumulate, assoc, reduce
... | 2,920 | 0 | 271 |
80d14ac67554130253c5695660674cb336aa2294 | 2,598 | py | Python | templates/movie_info_popup.py | rikbarker/watcher | dadacd21a5790ee609058a98a17fcc8954d24439 | [
"Apache-2.0"
] | 194 | 2016-12-23T19:11:09.000Z | 2020-12-07T04:04:10.000Z | templates/movie_info_popup.py | rikbarker/watcher | dadacd21a5790ee609058a98a17fcc8954d24439 | [
"Apache-2.0"
] | 236 | 2016-11-20T07:56:15.000Z | 2017-04-12T12:10:00.000Z | templates/movie_info_popup.py | rikbarker/watcher | dadacd21a5790ee609058a98a17fcc8954d24439 | [
"Apache-2.0"
] | 51 | 2016-11-20T08:05:33.000Z | 2021-01-26T13:22:40.000Z | import json
import core
from core.movieinfo import Trailer
from dominate.tags import *
# pylama:ignore=W0401
| 37.652174 | 158 | 0.54311 | import json
import core
from core.movieinfo import Trailer
from dominate.tags import *
class MovieInfoPopup():
def __init__(self):
return
def html(self, data_json):
'''
data: str json object movie data dict
'''
data = json.loads(data_json)
trailer = Trailer... | 192 | 2,271 | 23 |
8a78cc74ff0b5595f02947a1d7e6f8bbbc2fdf09 | 196 | py | Python | scripts/item/consume_2436229.py | lynsone/swordie | 7e9d564c1f2659a87e01c376089e1ee0a3842c5b | [
"MIT"
] | 2 | 2020-04-15T03:16:07.000Z | 2020-08-12T23:28:32.000Z | scripts/item/consume_2436229.py | lynsone/swordie | 7e9d564c1f2659a87e01c376089e1ee0a3842c5b | [
"MIT"
] | null | null | null | scripts/item/consume_2436229.py | lynsone/swordie | 7e9d564c1f2659a87e01c376089e1ee0a3842c5b | [
"MIT"
] | 3 | 2020-08-25T06:55:25.000Z | 2020-12-01T13:07:43.000Z | # Pig Bar Damage Skin
success = sm.addDamageSkin(2436229)
if success:
sm.chat("The Pig Bar Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2436229)
| 32.666667 | 95 | 0.739796 | # Pig Bar Damage Skin
success = sm.addDamageSkin(2436229)
if success:
sm.chat("The Pig Bar Damage Skin has been added to your account's damage skin collection.")
# sm.consumeItem(2436229)
| 0 | 0 | 0 |
9776a56824d42f2bff18ed175f92278719ddf139 | 93 | py | Python | jhu_primitives/euclidean_nomination/__init__.py | remram44/primitives-interfaces | f6d305d6f65fc8c89c14bef6f2b8b4d86d44005b | [
"Apache-2.0"
] | null | null | null | jhu_primitives/euclidean_nomination/__init__.py | remram44/primitives-interfaces | f6d305d6f65fc8c89c14bef6f2b8b4d86d44005b | [
"Apache-2.0"
] | 23 | 2017-09-20T08:12:13.000Z | 2022-03-01T01:49:11.000Z | jhu_primitives/euclidean_nomination/__init__.py | remram44/primitives-interfaces | f6d305d6f65fc8c89c14bef6f2b8b4d86d44005b | [
"Apache-2.0"
] | 8 | 2018-05-14T18:44:38.000Z | 2021-03-18T19:53:23.000Z | from __future__ import absolute_import
from .euclidean_nomination import EuclideanNomination
| 31 | 53 | 0.903226 | from __future__ import absolute_import
from .euclidean_nomination import EuclideanNomination
| 0 | 0 | 0 |
67358a218c8de9c7a4a7b5c11a14dc74a49ac17a | 403 | py | Python | Startup.py | TimothyBergstrom/Zergy | ca9e51afccd0907dc343c36e3421211ed9861319 | [
"Apache-2.0"
] | null | null | null | Startup.py | TimothyBergstrom/Zergy | ca9e51afccd0907dc343c36e3421211ed9861319 | [
"Apache-2.0"
] | 1 | 2017-11-06T21:59:41.000Z | 2017-11-06T21:59:41.000Z | Startup.py | TimothyBergstrom/Zergy | ca9e51afccd0907dc343c36e3421211ed9861319 | [
"Apache-2.0"
] | null | null | null | import subprocess
import os
try:
Settings=[]
f=open('data/Settings.txt','r')
_lines=f.readlines()
Settings.append([i.replace('\n','') for i in _lines])
Settings=Settings[0] #Because list in list
f.close()
except:
Settings=['Manual: Fill',5,0,'No','No']
try:
subprocess.Popen(['GUI.exe'... | 21.210526 | 81 | 0.652605 | import subprocess
import os
try:
Settings=[]
f=open('data/Settings.txt','r')
_lines=f.readlines()
Settings.append([i.replace('\n','') for i in _lines])
Settings=Settings[0] #Because list in list
f.close()
except:
Settings=['Manual: Fill',5,0,'No','No']
try:
subprocess.Popen(['GUI.exe'... | 0 | 0 | 0 |
598d01312b8f1651df66dcdb2419ccaee00465e3 | 280 | py | Python | src/stemming.py | Stoeoeoe/InnovationThesis | eaf8e419bdd8d0ee33f30a789c5ac93633ae3062 | [
"MIT"
] | null | null | null | src/stemming.py | Stoeoeoe/InnovationThesis | eaf8e419bdd8d0ee33f30a789c5ac93633ae3062 | [
"MIT"
] | null | null | null | src/stemming.py | Stoeoeoe/InnovationThesis | eaf8e419bdd8d0ee33f30a789c5ac93633ae3062 | [
"MIT"
] | null | null | null | from nltk import stem
from nltk import tokenize
from nltk import tag
from nltk.tag import pos_tag
from nltk.tokenize import word_tokenize
text1 = 'His acting was amazing.'
text2 = 'He was merely acting.'
print(pos_tag(word_tokenize(text1)))
print(pos_tag(word_tokenize(text2))) | 23.333333 | 39 | 0.792857 | from nltk import stem
from nltk import tokenize
from nltk import tag
from nltk.tag import pos_tag
from nltk.tokenize import word_tokenize
text1 = 'His acting was amazing.'
text2 = 'He was merely acting.'
print(pos_tag(word_tokenize(text1)))
print(pos_tag(word_tokenize(text2))) | 0 | 0 | 0 |
d623c86c78e6b71a533d2abdd161fcf6efba9130 | 935 | py | Python | test/test_miner-search.py | sckott/pyminer | 00f05067f536465d664999d613e4c37500653976 | [
"MIT"
] | 6 | 2016-02-02T21:29:11.000Z | 2020-08-16T14:11:19.000Z | test/test_miner-search.py | sckott/pyminer | 00f05067f536465d664999d613e4c37500653976 | [
"MIT"
] | 9 | 2016-11-12T16:14:13.000Z | 2020-09-25T13:15:42.000Z | test/test_miner-search.py | sckott/pyminer | 00f05067f536465d664999d613e4c37500653976 | [
"MIT"
] | null | null | null | """Tests for miner module - search methods"""
import os
import pytest
import vcr
from pyminer import Miner
m = Miner()
@vcr.use_cassette('test/vcr_cassettes/search.yaml')
def test_search():
"miner.search - basic test"
res = m.search(filter = {'has_full_text': True}, limit = 5)
assert 'Mined' == res.__class... | 31.166667 | 63 | 0.677005 | """Tests for miner module - search methods"""
import os
import pytest
import vcr
from pyminer import Miner
m = Miner()
@vcr.use_cassette('test/vcr_cassettes/search.yaml')
def test_search():
"miner.search - basic test"
res = m.search(filter = {'has_full_text': True}, limit = 5)
assert 'Mined' == res.__class... | 0 | 0 | 0 |
5fd15b5c667704a8d8a73b148dadac94ae602905 | 1,961 | py | Python | make/photon/prepare/tests/migrations/utils_test.py | gerhardgossen/harbor | 1d03b8727acb9a3935bf45cd76b61f87c68e2a08 | [
"Apache-2.0"
] | 1 | 2020-07-11T09:12:18.000Z | 2020-07-11T09:12:18.000Z | make/photon/prepare/tests/migrations/utils_test.py | gerhardgossen/harbor | 1d03b8727acb9a3935bf45cd76b61f87c68e2a08 | [
"Apache-2.0"
] | 10 | 2021-05-31T00:06:59.000Z | 2022-02-11T12:34:16.000Z | make/photon/prepare/tests/migrations/utils_test.py | gerhardgossen/harbor | 1d03b8727acb9a3935bf45cd76b61f87c68e2a08 | [
"Apache-2.0"
] | 1 | 2020-07-12T16:51:07.000Z | 2020-07-12T16:51:07.000Z | import pytest
import importlib
from utils.migration import search
@pytest.fixture
@pytest.fixture
@pytest.fixture
| 33.237288 | 79 | 0.721571 | import pytest
import importlib
from utils.migration import search
class mockModule:
def __init__(self, revision, down_revision):
self.revision = revision
self.down_revision = down_revision
def mock_import_module_loop(module_path: str):
loop_modules = {
'migration.versions.1_9_0': mockModu... | 1,594 | -4 | 253 |
502c09b74ab49cdb0e21fe1b8efa995fdfd36c8b | 2,168 | py | Python | infoblox_netmri/api/remote/models/device_certificate_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/remote/models/device_certificate_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | infoblox_netmri/api/remote/models/device_certificate_remote.py | IngmarVG-IB/infoblox-netmri | b0c725fd64aee1890d83917d911b89236207e564 | [
"Apache-2.0"
] | null | null | null | from ..remote import RemoteModel
from infoblox_netmri.utils.utils import check_api_availability
class DeviceCertificateRemote(RemoteModel):
"""
This table list out the device certificates.
| ``id:`` The internal NetMRI identifier for this device certificate.
| ``attribute type:`` number
... | 25.809524 | 84 | 0.5369 | from ..remote import RemoteModel
from infoblox_netmri.utils.utils import check_api_availability
class DeviceCertificateRemote(RemoteModel):
"""
This table list out the device certificates.
| ``id:`` The internal NetMRI identifier for this device certificate.
| ``attribute type:`` number
... | 0 | 0 | 0 |
d530591ad3e0b6d1d80a67611a179ab599febfb7 | 1,830 | py | Python | neural_network.py | maxlorenz/Simple_NN | 2752663fd3ccacee42e339859060eed5125f61d5 | [
"Apache-2.0"
] | 88 | 2017-02-25T14:44:01.000Z | 2022-01-28T23:24:04.000Z | neural_network.py | maxlorenz/Simple_NN | 2752663fd3ccacee42e339859060eed5125f61d5 | [
"Apache-2.0"
] | 2 | 2017-02-25T19:36:21.000Z | 2017-02-27T21:59:18.000Z | neural_network.py | maxlorenz/Simple_NN | 2752663fd3ccacee42e339859060eed5125f61d5 | [
"Apache-2.0"
] | 10 | 2017-02-25T19:20:03.000Z | 2018-08-21T12:05:03.000Z | from random import random, choice
if __name__ == "__main__":
nn = NeuralNetwork(inputs=2, hidden_neurons=4)
training = [([0, 0], 0), ([0, 1], 1), ([1, 0], 1), ([1, 1], 0)]
for epoch in range(100000):
input, target = choice(training)
nn.learn(input, target)
for input, target in tra... | 26.911765 | 69 | 0.571585 | from random import random, choice
class Neuron(object):
def __init__(self, num_inputs):
self.inputs = []
self.learning_rate = 0.01
self.weights = [random() for _ in range(num_inputs)]
self.bias = random()
@staticmethod
def activation(x):
"""ReLU function"""
... | 978 | 288 | 127 |
351137de7e2941c3ec14e6b66c19e390ce537c11 | 1,562 | py | Python | coastl/stl_toolkit/stl_processing.py | prathgan/COASTL | 2ee009964f8bafc2d108aba6554f230549cb09e3 | [
"MIT"
] | null | null | null | coastl/stl_toolkit/stl_processing.py | prathgan/COASTL | 2ee009964f8bafc2d108aba6554f230549cb09e3 | [
"MIT"
] | null | null | null | coastl/stl_toolkit/stl_processing.py | prathgan/COASTL | 2ee009964f8bafc2d108aba6554f230549cb09e3 | [
"MIT"
] | null | null | null | import re
from gurobipy import *
from .stl_parsing import parse_logic
from .stl_constraints import create_constraints
from .utilities.simple_utilities import remove_gurobi_log, parentheses_match
def solve(logic):
"""Finds solutions for all binary and continuous variables in logic string"""
return synthesize_stl(crea... | 39.05 | 119 | 0.792574 | import re
from gurobipy import *
from .stl_parsing import parse_logic
from .stl_constraints import create_constraints
from .utilities.simple_utilities import remove_gurobi_log, parentheses_match
def solve(logic):
"""Finds solutions for all binary and continuous variables in logic string"""
return synthesize_stl(crea... | 0 | 0 | 0 |
2a025598c7e823c92ad2cf67003a731e4969487c | 781 | py | Python | tests/unit/test__main__.py | antonku/ncssl_api_client | c463b000960d50368d39bde2a180499f1da3a29a | [
"MIT"
] | 8 | 2017-11-28T11:05:52.000Z | 2021-11-16T13:52:45.000Z | tests/unit/test__main__.py | antonku/ncssl_api_client | c463b000960d50368d39bde2a180499f1da3a29a | [
"MIT"
] | 4 | 2018-12-23T14:52:11.000Z | 2019-08-09T21:01:44.000Z | tests/unit/test__main__.py | antonku/ncssl_api_client | c463b000960d50368d39bde2a180499f1da3a29a | [
"MIT"
] | 2 | 2017-11-28T14:38:24.000Z | 2017-11-29T09:03:20.000Z | from ncssl_api_client.__main__ import main_cli_wrapper
from unittest import TestCase
import mock
| 33.956522 | 80 | 0.733675 | from ncssl_api_client.__main__ import main_cli_wrapper
from unittest import TestCase
import mock
class MainTest(TestCase):
@mock.patch('ncssl_api_client.__main__.main', return_value=mock.MagicMock())
def test_status_code_zero_on_success(self, result_mock):
result_mock().is_successful.return_value = T... | 440 | 220 | 23 |
1e01397b0e0b55041950595176edcb92e499b82c | 169 | py | Python | mtd/__init__.py | jbernhard/mtd | 6326fdb44f071311ace7862371e658d609f43d08 | [
"MIT"
] | 4 | 2017-02-21T21:20:07.000Z | 2020-11-03T15:54:13.000Z | mtd/__init__.py | jbernhard/mtd | 6326fdb44f071311ace7862371e658d609f43d08 | [
"MIT"
] | null | null | null | mtd/__init__.py | jbernhard/mtd | 6326fdb44f071311ace7862371e658d609f43d08 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__version__ = '0.1.dev0'
from .multigp import MultiGP
from .pca import PCA
from .util import *
from . import priors
from george import kernels
| 16.9 | 28 | 0.710059 | # -*- coding: utf-8 -*-
__version__ = '0.1.dev0'
from .multigp import MultiGP
from .pca import PCA
from .util import *
from . import priors
from george import kernels
| 0 | 0 | 0 |
c224b45fb5e328057b7f525d9ec74ad91d54f04d | 642 | py | Python | src/core/sessions/buffers/exporter/exporters/text.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 21 | 2015-08-02T21:26:14.000Z | 2019-12-27T09:57:44.000Z | src/core/sessions/buffers/exporter/exporters/text.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 34 | 2015-01-12T00:38:14.000Z | 2020-08-31T11:19:37.000Z | src/core/sessions/buffers/exporter/exporters/text.py | Oire/TheQube | fcfd8a68b15948e0740642d635db24adef8cc314 | [
"MIT"
] | 15 | 2015-03-24T15:42:30.000Z | 2020-09-24T20:26:42.000Z | from core.sessions.buffers.exporter.exporters import BaseExporter
import codecs
| 27.913043 | 81 | 0.699377 | from core.sessions.buffers.exporter.exporters import BaseExporter
import codecs
class TextExporter (BaseExporter):
def __init__(self, **kwargs):
if 'item_template' not in kwargs or kwargs['item_template'] is None:
raise TypeError("This exporter requires item_template to be str or unicode.")
super(TextEx... | 389 | 147 | 24 |
9d53527b82665492d24c2490026e630dce7fcf5e | 724 | py | Python | 15/15_b_selection_sort.py | srinijadharani/DataStructuresLab | fa6fd5fa64467cdb62302c66a708b041792da862 | [
"MIT"
] | null | null | null | 15/15_b_selection_sort.py | srinijadharani/DataStructuresLab | fa6fd5fa64467cdb62302c66a708b041792da862 | [
"MIT"
] | null | null | null | 15/15_b_selection_sort.py | srinijadharani/DataStructuresLab | fa6fd5fa64467cdb62302c66a708b041792da862 | [
"MIT"
] | null | null | null | '''
Write a program to implement various sorting techniques:
[Compare with Python’s Built-In Sorting Functions also]
• Insertion sort
• Selection Sort
• Bubble Sort
• Merge Sort
• Quick Sort
'''
# SELECTION SORT
n = int(input("Enter the number of list items: "))
arr = []
for i in range(0, n):
ele = i... | 25.857143 | 58 | 0.603591 | '''
Write a program to implement various sorting techniques:
[Compare with Python’s Built-In Sorting Functions also]
• Insertion sort
• Selection Sort
• Bubble Sort
• Merge Sort
• Quick Sort
'''
# SELECTION SORT
n = int(input("Enter the number of list items: "))
arr = []
for i in range(0, n):
ele = i... | 237 | 0 | 25 |
c8cffebb050fe5118af1f33942d9c35ce08558c9 | 7,210 | py | Python | aiport_server/legacy/trans_chat/data_loader.py | ysb06/ai-port-backend | 88672388e73a48e6237ac2e51894ec25d9e283ce | [
"MIT"
] | null | null | null | aiport_server/legacy/trans_chat/data_loader.py | ysb06/ai-port-backend | 88672388e73a48e6237ac2e51894ec25d9e283ce | [
"MIT"
] | null | null | null | aiport_server/legacy/trans_chat/data_loader.py | ysb06/ai-port-backend | 88672388e73a48e6237ac2e51894ec25d9e283ce | [
"MIT"
] | null | null | null | import pandas as pd
import torch
import copy
from typing import Dict, List, Tuple
from torch import LongTensor
from torch.tensor import Tensor
from torch.utils.data import Dataset
from konlpy.tag import Kkma
from nltk.tokenize import word_tokenize
from tqdm.auto import tqdm
| 36.785714 | 119 | 0.644383 | import pandas as pd
import torch
import copy
from typing import Dict, List, Tuple
from torch import LongTensor
from torch.tensor import Tensor
from torch.utils.data import Dataset
from konlpy.tag import Kkma
from nltk.tokenize import word_tokenize
from tqdm.auto import tqdm
class ConversationDataset(Dataset):
def... | 7,139 | 14 | 149 |
c417ac78d6a74a21d493d6480c2e10db351b3d0a | 374 | py | Python | python/delay_vs_fanout.py | antmicro/nextpnr | bb5a8162dfebdf2d2cbf64bf5503142a0deef2a9 | [
"0BSD"
] | 865 | 2018-08-01T11:41:26.000Z | 2022-03-29T08:34:29.000Z | python/delay_vs_fanout.py | antmicro/nextpnr | bb5a8162dfebdf2d2cbf64bf5503142a0deef2a9 | [
"0BSD"
] | 533 | 2018-08-01T14:01:59.000Z | 2022-03-30T13:11:09.000Z | python/delay_vs_fanout.py | antmicro/nextpnr | bb5a8162dfebdf2d2cbf64bf5503142a0deef2a9 | [
"0BSD"
] | 194 | 2018-08-01T12:48:19.000Z | 2022-03-29T10:19:57.000Z | with open("delay_vs_fanout.csv", "w") as f:
print("fanout,delay", file=f)
for net_name, net in ctx.nets:
if net.driver.cell is None:
continue
if net.driver.cell.type == "DCCA":
continue # ignore global clocks
for user in net.users:
print(f"{len(net.use... | 34 | 84 | 0.590909 | with open("delay_vs_fanout.csv", "w") as f:
print("fanout,delay", file=f)
for net_name, net in ctx.nets:
if net.driver.cell is None:
continue
if net.driver.cell.type == "DCCA":
continue # ignore global clocks
for user in net.users:
print(f"{len(net.use... | 0 | 0 | 0 |
939e70e5d13b2a3fe17b2bb42d0609a0c007c0ee | 9,957 | py | Python | Bio/PDB/TorusDBN/_io.py | mchelem/biopython | 2daa5fee06077bbada8b89fe6032c3f123318fc2 | [
"PostgreSQL"
] | 1 | 2020-06-29T17:32:16.000Z | 2020-06-29T17:32:16.000Z | Bio/PDB/TorusDBN/_io.py | mchelem/biopython | 2daa5fee06077bbada8b89fe6032c3f123318fc2 | [
"PostgreSQL"
] | null | null | null | Bio/PDB/TorusDBN/_io.py | mchelem/biopython | 2daa5fee06077bbada8b89fe6032c3f123318fc2 | [
"PostgreSQL"
] | null | null | null | # Copyright (C) 2011 by Michele Silva (michele.silva@gmail.com)
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
import os
import math
import numpy
from mocapy.framework import eMISMASK
from Bio.PDB ... | 33.982935 | 102 | 0.568545 | # Copyright (C) 2011 by Michele Silva (michele.silva@gmail.com)
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
import os
import math
import numpy
from mocapy.framework import eMISMASK
from Bio.PDB ... | 0 | 0 | 0 |
bd4cfb50614b26d2a45f7796cdb6de5d44ba7f1a | 6,598 | py | Python | pool.py | scarecrow87/nhzpool | 90a5718a6a491e0432a5c60429b3b16ac8114df1 | [
"MIT"
] | 1 | 2015-02-16T11:49:16.000Z | 2015-02-16T11:49:16.000Z | pool.py | scarecrow87/nhzpool | 90a5718a6a491e0432a5c60429b3b16ac8114df1 | [
"MIT"
] | null | null | null | pool.py | scarecrow87/nhzpool | 90a5718a6a491e0432a5c60429b3b16ac8114df1 | [
"MIT"
] | 5 | 2015-02-16T12:42:45.000Z | 2019-07-14T20:50:49.000Z | #!/usr/bin/env python
# author: pharesim@nhzcrypto.org
import json
import urllib
import urllib2
import sqlite3
import math
import ConfigParser
import time
config = ConfigParser.RawConfigParser()
config.read('config.ini')
conn = sqlite3.connect(config.get("pool", "database"))
c = conn.cursor()
if __... | 37.91954 | 191 | 0.615944 | #!/usr/bin/env python
# author: pharesim@nhzcrypto.org
import json
import urllib
import urllib2
import sqlite3
import math
import ConfigParser
import time
config = ConfigParser.RawConfigParser()
config.read('config.ini')
conn = sqlite3.connect(config.get("pool", "database"))
c = conn.cursor()
def main():
whil... | 6,045 | 0 | 200 |
6027c33c333db43152b335b880f0d183ba49d46d | 4,319 | py | Python | parsl/tests/manual_tests/test_basic.py | benclifford/parsl | 21f8681882779050d2e074591e95ada43789748f | [
"Apache-2.0"
] | 2 | 2019-02-25T16:43:30.000Z | 2019-03-04T17:25:00.000Z | parsl/tests/manual_tests/test_basic.py | benclifford/parsl | 21f8681882779050d2e074591e95ada43789748f | [
"Apache-2.0"
] | null | null | null | parsl/tests/manual_tests/test_basic.py | benclifford/parsl | 21f8681882779050d2e074591e95ada43789748f | [
"Apache-2.0"
] | 2 | 2019-04-30T13:46:23.000Z | 2019-06-04T16:14:46.000Z | import argparse
import time
import parsl
# Tested. Confirmed. Local X Local X SingleNodeLauncher
from parsl.tests.configs.local_ipp import config
# Tested. Confirmed. ssh X Slurm X SingleNodeLauncher
# from parsl.tests.configs.midway_ipp import config
# Tested. Confirmed. ssh X Slurm X SingelNodeLauncher
# from pars... | 26.496933 | 77 | 0.664737 | import argparse
import time
import parsl
# Tested. Confirmed. Local X Local X SingleNodeLauncher
from parsl.tests.configs.local_ipp import config
# Tested. Confirmed. ssh X Slurm X SingleNodeLauncher
# from parsl.tests.configs.midway_ipp import config
# Tested. Confirmed. ssh X Slurm X SingelNodeLauncher
# from pars... | 1,511 | 0 | 180 |
2950cf0bc349ff3760e44a141ca72bdffc988490 | 255 | py | Python | __init__.py | blackCheetah/YouTube---Checker-for-Giveaways | c20b8ad762669a38c4ccfeb91486f008b7f0833c | [
"MIT"
] | null | null | null | __init__.py | blackCheetah/YouTube---Checker-for-Giveaways | c20b8ad762669a38c4ccfeb91486f008b7f0833c | [
"MIT"
] | 3 | 2021-02-08T20:25:28.000Z | 2021-06-01T22:43:03.000Z | __init__.py | blackCheetah/YouTube---Checker-for-Giveaways | c20b8ad762669a38c4ccfeb91486f008b7f0833c | [
"MIT"
] | null | null | null | """
General details about the program
"""
__version__ = '0.2.0'
__author__ = 'blackCheetah'
__created__ = '27.09.2018'
__updated__ = '07.10.2018'
__description__ = 'Retrieve all subscribers who made a comment on your last 50 videos.'
| 28.333333 | 87 | 0.678431 | """
General details about the program
"""
__version__ = '0.2.0'
__author__ = 'blackCheetah'
__created__ = '27.09.2018'
__updated__ = '07.10.2018'
__description__ = 'Retrieve all subscribers who made a comment on your last 50 videos.'
| 0 | 0 | 0 |
fcdcbb79481d3bb5f02262e55c738c7678897fbb | 52,534 | py | Python | src/operation.py | moibenko/enstore | 6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9 | [
"Intel",
"Unlicense"
] | 4 | 2021-10-17T11:17:59.000Z | 2022-02-28T16:58:40.000Z | src/operation.py | moibenko/enstore | 6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9 | [
"Intel",
"Unlicense"
] | 17 | 2021-10-05T21:44:06.000Z | 2022-03-31T16:58:40.000Z | src/operation.py | moibenko/enstore | 6f2ff5b67ff73872a9e68f2a68b0bdaa70cef9b9 | [
"Intel",
"Unlicense"
] | 8 | 2021-09-02T18:55:49.000Z | 2022-03-09T21:05:28.000Z | #!/usr/bin/env python
"""
Schema
Schema | Name | Type | Owner
--------+-------------------+----------+---------
public | job | table | huangch
public | job_definition | table | huangch
public | job_definition_id | sequence | huangch
public | job_id | sequence | ... | 28.848984 | 357 | 0.634675 | #!/usr/bin/env python
"""
Schema
Schema | Name | Type | Owner
--------+-------------------+----------+---------
public | job | table | huangch
public | job_definition | table | huangch
public | job_definition_id | sequence | huangch
public | job_id | sequence | ... | 43,529 | 0 | 1,288 |
e05a65651cc796d35647fa8b9683ab79e7a876fe | 164 | py | Python | src/data/__init__.py | uiqkos/jobviz | d36d6476f8a56e306eccb25d467f05d924bf759f | [
"MIT"
] | null | null | null | src/data/__init__.py | uiqkos/jobviz | d36d6476f8a56e306eccb25d467f05d924bf759f | [
"MIT"
] | null | null | null | src/data/__init__.py | uiqkos/jobviz | d36d6476f8a56e306eccb25d467f05d924bf759f | [
"MIT"
] | null | null | null | from src.data.load_dictionaries import load_dictionaries, create_key_skills
from src.data.load_vacancies import load_vacancies
from src.data.vacancy import Vacancy
| 41 | 75 | 0.878049 | from src.data.load_dictionaries import load_dictionaries, create_key_skills
from src.data.load_vacancies import load_vacancies
from src.data.vacancy import Vacancy
| 0 | 0 | 0 |
993c6b3484d477798ccc852287106e2dcf851281 | 775 | py | Python | project/five_fold.py | jayson-garrison/ML-Naive-Bayes | 8026fae6413bc4f5b42d66eff8f1296a310b467c | [
"MIT"
] | 1 | 2022-01-18T01:58:24.000Z | 2022-01-18T01:58:24.000Z | project/five_fold.py | jayson-garrison/ML-Naive-Bayes | 8026fae6413bc4f5b42d66eff8f1296a310b467c | [
"MIT"
] | null | null | null | project/five_fold.py | jayson-garrison/ML-Naive-Bayes | 8026fae6413bc4f5b42d66eff8f1296a310b467c | [
"MIT"
] | null | null | null | """"
Author: Jayson C. Garrison
Dates: 01/19/2022
Course: CS-5333 (Machine Learning)
Description: Function that partitions data according to five fold cross validation
GitHub: https://github.com/jayson-garrison/ML-Naive-Bayes
"""
# partition a data set into a list of 5 tuples for training and testing
# five fo... | 28.703704 | 82 | 0.6 | """"
Author: Jayson C. Garrison
Dates: 01/19/2022
Course: CS-5333 (Machine Learning)
Description: Function that partitions data according to five fold cross validation
GitHub: https://github.com/jayson-garrison/ML-Naive-Bayes
"""
class FiveFold:
# partition a data set into a list of 5 tuples for training and testi... | 396 | -6 | 48 |
57896a723fbc502aa7a96e61088aa5e895edfcd3 | 1,186 | py | Python | src/faber/config/try_compile.py | drmoose/faber | f447d58f2b42ad496c155cc8b3491379ac97c6f8 | [
"BSL-1.0"
] | 14 | 2017-05-27T00:18:24.000Z | 2021-09-11T03:51:02.000Z | src/faber/config/try_compile.py | drmoose/faber | f447d58f2b42ad496c155cc8b3491379ac97c6f8 | [
"BSL-1.0"
] | 26 | 2017-07-16T17:20:57.000Z | 2021-02-08T02:49:53.000Z | src/faber/config/try_compile.py | stefanseefeld/constructor | 0f369a8a9e4de305e5379d9662b2e79bffd43910 | [
"BSL-1.0"
] | 3 | 2018-05-24T13:52:40.000Z | 2020-06-30T16:46:26.000Z | #
# Copyright (c) 2016 Stefan Seefeld
# All rights reserved.
#
# This file is part of Faber. It is made available under the
# Boost Software License, Version 1.0.
# (Consult LICENSE or http://www.boost.org/LICENSE_1_0.txt)
from .check import check
from ..artefact import intermediate, always
from ..tools.compiler impor... | 33.885714 | 74 | 0.632378 | #
# Copyright (c) 2016 Stefan Seefeld
# All rights reserved.
#
# This file is part of Faber. It is made available under the
# Boost Software License, Version 1.0.
# (Consult LICENSE or http://www.boost.org/LICENSE_1_0.txt)
from .check import check
from ..artefact import intermediate, always
from ..tools.compiler impor... | 682 | 0 | 27 |
400660bfe3de66710cc942a5b36698c94dc1b198 | 127 | py | Python | zenmailbox/apps.py | DevZenCat/django-zenmailbox | 3de636d39955130e7c129eaa31261ffc49f2f3fa | [
"MIT"
] | null | null | null | zenmailbox/apps.py | DevZenCat/django-zenmailbox | 3de636d39955130e7c129eaa31261ffc49f2f3fa | [
"MIT"
] | 4 | 2021-01-30T16:25:09.000Z | 2021-02-27T01:57:10.000Z | zenmailbox/apps.py | DevZenCat/django-zenmailbox | 3de636d39955130e7c129eaa31261ffc49f2f3fa | [
"MIT"
] | null | null | null | from django.apps import AppConfig
| 18.142857 | 34 | 0.748031 | from django.apps import AppConfig
class ZenmailboxConfig(AppConfig):
name = 'zenmailbox'
verbose_name = "Zenmailbox"
| 0 | 69 | 23 |
f18ac13ba65aed5e3dfba48ba08ef246fff78e5e | 3,354 | py | Python | pyscripts/analyse_swm_loc_trunc.py | luanfs/iModel | 8dd39e3564b6bc01df8dfe417493d9c7b22c40a8 | [
"MIT"
] | 10 | 2015-10-09T17:44:51.000Z | 2021-06-10T01:56:33.000Z | pyscripts/analyse_swm_loc_trunc.py | luanfs/iModel | 8dd39e3564b6bc01df8dfe417493d9c7b22c40a8 | [
"MIT"
] | 2 | 2018-08-29T11:49:32.000Z | 2021-03-18T18:07:53.000Z | pyscripts/analyse_swm_loc_trunc.py | luanfs/iModel | 8dd39e3564b6bc01df8dfe417493d9c7b22c40a8 | [
"MIT"
] | 14 | 2016-03-18T19:24:56.000Z | 2021-09-01T10:38:57.000Z | #! /usr/bin/env python3
#---------------------------------
# Plots errors of experiments
# obtained from iModel output
# Pedro Peixoto (ppeixoto@usp.br)
# Novembre 2018
#----------------------------------
import sys
import os
import re
import string
import numpy as np
import matplotlib
#matplotlib.use('Ag... | 23.131034 | 93 | 0.683363 | #! /usr/bin/env python3
#---------------------------------
# Plots errors of experiments
# obtained from iModel output
# Pedro Peixoto (ppeixoto@usp.br)
# Novembre 2018
#----------------------------------
import sys
import os
import re
import string
import numpy as np
import matplotlib
#matplotlib.use('Ag... | 0 | 0 | 0 |
59559039502c8f55ac9f29f68ebb611f4d96e2cd | 6,641 | py | Python | h/script.py | RichardLitt/h | f98d7e19a7913c82a3d3c43c226994366ebd3009 | [
"MIT"
] | null | null | null | h/script.py | RichardLitt/h | f98d7e19a7913c82a3d3c43c226994366ebd3009 | [
"MIT"
] | null | null | null | h/script.py | RichardLitt/h | f98d7e19a7913c82a3d3c43c226994366ebd3009 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import json
from os import chdir, getcwd, makedirs, mkdir, walk
from os.path import abspath, exists, join
from shutil import copyfile, rmtree
from urlparse import urljoin, urlparse, urlunparse, uses_netloc, uses_relative
from chameleon.zpt.template import PageTextTemplateFile
from clik import A... | 29.780269 | 78 | 0.680922 | # -*- coding: utf-8 -*-
import json
from os import chdir, getcwd, makedirs, mkdir, walk
from os.path import abspath, exists, join
from shutil import copyfile, rmtree
from urlparse import urljoin, urlparse, urlunparse, uses_netloc, uses_relative
from chameleon.zpt.template import PageTextTemplateFile
from clik import A... | 2,940 | 0 | 161 |
059cb2b4e53b363ecd3dc02f379199332064334e | 3,212 | py | Python | src/bnn_priors/bnn_priors/mcmc/hmc.py | activatedgeek/uncertainty-da-bayesian-classification | a270fb095f4790dea15327145897d09d0ba9c80b | [
"Apache-2.0"
] | 31 | 2021-02-16T09:35:03.000Z | 2022-03-31T17:18:54.000Z | src/bnn_priors/bnn_priors/mcmc/hmc.py | activatedgeek/understanding-bayesian-classification | a270fb095f4790dea15327145897d09d0ba9c80b | [
"Apache-2.0"
] | 1 | 2021-05-10T15:25:48.000Z | 2021-05-10T15:25:48.000Z | src/bnn_priors/bnn_priors/mcmc/hmc.py | activatedgeek/understanding-bayesian-classification | a270fb095f4790dea15327145897d09d0ba9c80b | [
"Apache-2.0"
] | 4 | 2021-02-21T03:38:00.000Z | 2021-12-24T15:13:29.000Z | import torch
import math
from typing import Sequence, Optional, Callable, Tuple, Dict, Union
import typing
from .sgld import dot
from .verlet_sgld import VerletSGLD
class HMC(VerletSGLD):
"""HMC with Verlet integration. Really `VerletSGLD` but with momentum=1 and
temperature=1, and a different M-H acceptance... | 40.15 | 85 | 0.612702 | import torch
import math
from typing import Sequence, Optional, Callable, Tuple, Dict, Union
import typing
from .sgld import dot
from .verlet_sgld import VerletSGLD
class HMC(VerletSGLD):
"""HMC with Verlet integration. Really `VerletSGLD` but with momentum=1 and
temperature=1, and a different M-H acceptance... | 2,253 | 0 | 107 |
4dfcd178b71eaa0a60e7f9386fde5faf6871fbbb | 3,874 | py | Python | diff_representation/vocab.py | microsoft/iclr2019-learning-to-represent-edits | e5777d6aa6cdeda500cf076646177c48d1cb4622 | [
"MIT"
] | 8 | 2021-03-15T18:57:18.000Z | 2021-08-23T11:28:22.000Z | diff_representation/vocab.py | microsoft/iclr2019-learning-to-represent-edits | e5777d6aa6cdeda500cf076646177c48d1cb4622 | [
"MIT"
] | null | null | null | diff_representation/vocab.py | microsoft/iclr2019-learning-to-represent-edits | e5777d6aa6cdeda500cf076646177c48d1cb4622 | [
"MIT"
] | 4 | 2021-03-27T14:19:09.000Z | 2021-09-13T12:35:31.000Z | #!/usr/bin/env python
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
"""
Usage:
vocab.py [options] TRAIN_FILE VOCAB_FILE
Options:
-h --help Show this screen.
--size=<int> vocab size [default: 10000]
--freq_cutoff=<int> frequency cutoff [de... | 30.503937 | 117 | 0.593443 | #!/usr/bin/env python
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
"""
Usage:
vocab.py [options] TRAIN_FILE VOCAB_FILE
Options:
-h --help Show this screen.
--size=<int> vocab size [default: 10000]
--freq_cutoff=<int> frequency cutoff [de... | 2,480 | 354 | 99 |
691d093f8e188fd2228b63061c9ed8aeb574df99 | 1,620 | py | Python | graphs/partitions_graph.py | jnfran92/adaptive-boxes | bcf03a91d48877b3a24125b74a233bda5bd8e044 | [
"MIT"
] | 7 | 2020-06-05T23:18:14.000Z | 2021-12-27T01:27:06.000Z | graphs/partitions_graph.py | jnfran92/adaptive-boxes | bcf03a91d48877b3a24125b74a233bda5bd8e044 | [
"MIT"
] | 3 | 2019-09-15T15:43:29.000Z | 2020-11-19T16:27:22.000Z | graphs/partitions_graph.py | jnfran92/adaptive-boxes | bcf03a91d48877b3a24125b74a233bda5bd8e044 | [
"MIT"
] | 1 | 2020-09-24T08:01:39.000Z | 2020-09-24T08:01:39.000Z |
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
from networkx.readwrite import json_graph, write_gexf
from matplotlib import pylab
summary_groups_data_path = '/Users/Juan/django_projects/adaptive-boxes/graphs/partitions_data/hall/summary_groups.csv'
x_units_path = '/Users/Juan/django_projec... | 23.478261 | 118 | 0.71358 |
import matplotlib.pyplot as plt
import networkx as nx
import pandas as pd
from networkx.readwrite import json_graph, write_gexf
from matplotlib import pylab
summary_groups_data_path = '/Users/Juan/django_projects/adaptive-boxes/graphs/partitions_data/hall/summary_groups.csv'
x_units_path = '/Users/Juan/django_projec... | 0 | 0 | 0 |
8698e112f320339793a7016d5eccfaf6f1d310cc | 6,299 | py | Python | scripts/zMayaTools/bake_transform.py | fsanges/zMayaTools | 795168d497459b43439e03a55233320f90d8d11c | [
"MIT"
] | 1 | 2021-01-28T05:13:47.000Z | 2021-01-28T05:13:47.000Z | scripts/zMayaTools/bake_transform.py | fsanges/zMayaTools | 795168d497459b43439e03a55233320f90d8d11c | [
"MIT"
] | null | null | null | scripts/zMayaTools/bake_transform.py | fsanges/zMayaTools | 795168d497459b43439e03a55233320f90d8d11c | [
"MIT"
] | null | null | null | # Bake the transform on each frame from one transform to another.
#
# This is similar to the graph editor's keyframe bake (without any smart key reduction),
# but bakes one object to another. This is useful for baking a constraint to another
# transform.
#
# For example, you can constrain a locator to a character's ha... | 42.560811 | 107 | 0.646611 | # Bake the transform on each frame from one transform to another.
#
# This is similar to the graph editor's keyframe bake (without any smart key reduction),
# but bakes one object to another. This is useful for baking a constraint to another
# transform.
#
# For example, you can constrain a locator to a character's ha... | 5,287 | 0 | 46 |
78f75ad9c04b23ec42185b40ad735003f1b7b9e5 | 4,233 | py | Python | deckbuilder/card/models.py | maxawolff/mtg-deckbuilder | 4ac7d0d7a0ed015dafd5143df0021182deb7cb01 | [
"MIT"
] | null | null | null | deckbuilder/card/models.py | maxawolff/mtg-deckbuilder | 4ac7d0d7a0ed015dafd5143df0021182deb7cb01 | [
"MIT"
] | null | null | null | deckbuilder/card/models.py | maxawolff/mtg-deckbuilder | 4ac7d0d7a0ed015dafd5143df0021182deb7cb01 | [
"MIT"
] | null | null | null | """Model of a single magic card."""
from django.db import models
from multiselectfield import MultiSelectField
from django.utils.text import slugify
class Set(models.Model):
"""Class for set model."""
name = models.CharField(max_length=50)
set_id = models.CharField(max_length=5, null=True, blank=True)
... | 41.910891 | 79 | 0.605245 | """Model of a single magic card."""
from django.db import models
from multiselectfield import MultiSelectField
from django.utils.text import slugify
class Set(models.Model):
"""Class for set model."""
name = models.CharField(max_length=50)
set_id = models.CharField(max_length=5, null=True, blank=True)
... | 245 | 0 | 27 |
0aebbaf8b359a3b4a74ff1c6e8498b0e0f6277fc | 1,431 | py | Python | .github/workflows/ensure_clean_notebooks.py | ICESAT-2HackWeek/website2022 | 10229090a94edb3e5734dbc00149b0502ad5396a | [
"MIT"
] | 8 | 2022-02-01T16:54:29.000Z | 2022-03-22T18:09:31.000Z | .github/workflows/ensure_clean_notebooks.py | ICESAT-2HackWeek/website2022 | 10229090a94edb3e5734dbc00149b0502ad5396a | [
"MIT"
] | 99 | 2022-01-27T22:01:05.000Z | 2022-03-31T19:42:28.000Z | .github/workflows/ensure_clean_notebooks.py | ICESAT-2HackWeek/website2022 | 10229090a94edb3e5734dbc00149b0502ad5396a | [
"MIT"
] | 25 | 2022-02-02T00:58:27.000Z | 2022-03-24T20:59:57.000Z | import yaml
import nb_clean as nbc
from pathlib import Path
import nbformat
import sys
with open('./book/_config.yml') as f:
data = yaml.safe_load(f)
# Sometimes we use rendered notebooks instead of executing them
exclude_paths = []
for pattern in data['execute']['exclude_patterns']:
exclude_paths += list(Path(... | 34.902439 | 82 | 0.675751 | import yaml
import nb_clean as nbc
from pathlib import Path
import nbformat
import sys
with open('./book/_config.yml') as f:
data = yaml.safe_load(f)
# Sometimes we use rendered notebooks instead of executing them
exclude_paths = []
for pattern in data['execute']['exclude_patterns']:
exclude_paths += list(Path(... | 0 | 0 | 0 |
30f3acb68606b47810d80f6613338364bf126a6e | 75,314 | py | Python | gerenciador_operacoes.py | David-Machado-Git/LABS---PROGRAMA-HAVAN | c084d8d1b3ba8cca726663cc1400149c3d34a64f | [
"MIT"
] | null | null | null | gerenciador_operacoes.py | David-Machado-Git/LABS---PROGRAMA-HAVAN | c084d8d1b3ba8cca726663cc1400149c3d34a64f | [
"MIT"
] | null | null | null | gerenciador_operacoes.py | David-Machado-Git/LABS---PROGRAMA-HAVAN | c084d8d1b3ba8cca726663cc1400149c3d34a64f | [
"MIT"
] | 1 | 2021-06-24T20:39:03.000Z | 2021-06-24T20:39:03.000Z | from time import sleep
dados = {} ### --> DICIONÁRIO RECEBE TODOS OS DADOS COM SEUS RESPECTIVOS VALORES; ID, NOME ETC...
lista_de_dados = []
lista_principal = []
copia_dados = []### --> DICIONÁRIO RECEBE TODOS OS DADOS
codigo_cliente = 0 ### --> CONTADOR CONTAGEM TRANSAÇÕES
moeda_origem_sigla = 'R$:'
moeda_destino_sig... | 50.580255 | 148 | 0.42036 | from time import sleep
dados = {} ### --> DICIONÁRIO RECEBE TODOS OS DADOS COM SEUS RESPECTIVOS VALORES; ID, NOME ETC...
lista_de_dados = []
lista_principal = []
copia_dados = []### --> DICIONÁRIO RECEBE TODOS OS DADOS
codigo_cliente = 0 ### --> CONTADOR CONTAGEM TRANSAÇÕES
moeda_origem_sigla = 'R$:'
moeda_destino_sig... | 0 | 0 | 0 |
721a71db00d39666bd8dc4ed09ae4dc0ad626673 | 910 | py | Python | Cogs/TestCog.py | BloomAutist47/bloom-bo | e3b298dc7ba27b8e526b18c2750b494b8a66ab3b | [
"CC0-1.0"
] | 1 | 2021-09-07T09:51:16.000Z | 2021-09-07T09:51:16.000Z | Cogs/TestCog.py | BloomAutist47/bloom-bo | e3b298dc7ba27b8e526b18c2750b494b8a66ab3b | [
"CC0-1.0"
] | null | null | null | Cogs/TestCog.py | BloomAutist47/bloom-bo | e3b298dc7ba27b8e526b18c2750b494b8a66ab3b | [
"CC0-1.0"
] | 3 | 2021-02-19T20:13:21.000Z | 2022-02-04T03:56:43.000Z | from .Base import *
from discord.ext import commands
from discord.utils import get | 30.333333 | 66 | 0.607692 | from .Base import *
from discord.ext import commands
from discord.utils import get
class TestCog(commands.Cog, BaseTools):
def __init__(self, bot):
self.setup()
self.bot = bot
self.list_links = {}
self.compare = {}
@commands.command()
async def test(self, ctx, *, value="")... | 658 | 147 | 23 |
c02d6565bfebaec5de189a39aa7ec6f21d1d6700 | 382 | py | Python | sweep_test.py | winksaville/cadquery-wing1 | 43da6a179e1a527401a4328764f3726048d66339 | [
"MIT"
] | null | null | null | sweep_test.py | winksaville/cadquery-wing1 | 43da6a179e1a527401a4328764f3726048d66339 | [
"MIT"
] | null | null | null | sweep_test.py | winksaville/cadquery-wing1 | 43da6a179e1a527401a4328764f3726048d66339 | [
"MIT"
] | null | null | null | a = 1
b = 5
h = b*5
d = a*5
s = (
cq.Workplane("XY")
.ellipse(a,b)
.sweep(
cq.Workplane("XZ")
# Start 0deg tangent, Tip finishes with 90deg tangent
.spline([(0, i) for i in range(h)] + [(d,h)],[(0,1),(1,0)])
# Start 0deg tangent, Tip finishes with 45deg tangent
#.sp... | 21.222222 | 67 | 0.494764 | a = 1
b = 5
h = b*5
d = a*5
s = (
cq.Workplane("XY")
.ellipse(a,b)
.sweep(
cq.Workplane("XZ")
# Start 0deg tangent, Tip finishes with 90deg tangent
.spline([(0, i) for i in range(h)] + [(d,h)],[(0,1),(1,0)])
# Start 0deg tangent, Tip finishes with 45deg tangent
#.sp... | 0 | 0 | 0 |
67ca4046b26fc6f2949edcf97d480f0651eba7a6 | 7,442 | py | Python | designateclient/functionaltests/v2/fixtures.py | mail2nsrajesh/python-designateclient | 3bb401758c00a9d66383484c60933421d9a21d63 | [
"Apache-2.0"
] | null | null | null | designateclient/functionaltests/v2/fixtures.py | mail2nsrajesh/python-designateclient | 3bb401758c00a9d66383484c60933421d9a21d63 | [
"Apache-2.0"
] | null | null | null | designateclient/functionaltests/v2/fixtures.py | mail2nsrajesh/python-designateclient | 3bb401758c00a9d66383484c60933421d9a21d63 | [
"Apache-2.0"
] | null | null | null | """
Copyright 2015 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | 34.775701 | 79 | 0.658963 | """
Copyright 2015 Rackspace
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
dist... | 4,899 | 322 | 529 |
2dfdec1d2a034d95564f8f983b6af317c3bf00d9 | 135 | py | Python | app/recipe/admin.py | fdomingues-travelperk/recipes-exercise | fbc00f98ba93043850e8c2ec0512f18bff274551 | [
"MIT"
] | null | null | null | app/recipe/admin.py | fdomingues-travelperk/recipes-exercise | fbc00f98ba93043850e8c2ec0512f18bff274551 | [
"MIT"
] | null | null | null | app/recipe/admin.py | fdomingues-travelperk/recipes-exercise | fbc00f98ba93043850e8c2ec0512f18bff274551 | [
"MIT"
] | null | null | null | from django.contrib import admin
from recipe import models
admin.site.register(models.Recipe)
admin.site.register(models.Ingredient)
| 19.285714 | 38 | 0.82963 | from django.contrib import admin
from recipe import models
admin.site.register(models.Recipe)
admin.site.register(models.Ingredient)
| 0 | 0 | 0 |
6f66a39ae443cdb3ff11e4b0bec5ccb6b7a6512e | 24,373 | py | Python | nipype/interfaces/semtools/filtering/featuredetection.py | demianw/nipype | 52d64c30d96ecd94f1833156e28dce32c4f05ebe | [
"BSD-3-Clause"
] | null | null | null | nipype/interfaces/semtools/filtering/featuredetection.py | demianw/nipype | 52d64c30d96ecd94f1833156e28dce32c4f05ebe | [
"BSD-3-Clause"
] | 2 | 2017-10-05T21:08:38.000Z | 2018-10-09T23:01:23.000Z | nipype/interfaces/semtools/filtering/featuredetection.py | effigies/nipype | 18fe222557cf3b9627e06b2a66fba589feaca581 | [
"Apache-2.0"
] | 1 | 2016-10-11T19:18:53.000Z | 2016-10-11T19:18:53.000Z | # -*- coding: utf8 -*-
"""Autogenerated file - DO NOT EDIT
If you spot a bug, please report it on the mailing list and/or change the generator."""
import os
from ...base import (CommandLine, CommandLineInputSpec, SEMLikeCommandLine,
TraitedSpec, File, Directory, traits, isdefined,
... | 37.097412 | 287 | 0.761129 | # -*- coding: utf8 -*-
"""Autogenerated file - DO NOT EDIT
If you spot a bug, please report it on the mailing list and/or change the generator."""
import os
from ...base import (CommandLine, CommandLineInputSpec, SEMLikeCommandLine,
TraitedSpec, File, Directory, traits, isdefined,
... | 0 | 11,699 | 828 |
fb13245a2c7ed2656aecee51c83e4daf02bf09af | 1,699 | py | Python | product_catalog/tests/test_urls.py | ssorin/django-product-catalog | 98495de057a5bb6a04801dac800edc8fb3437f47 | [
"BSD-3-Clause"
] | 4 | 2018-12-02T14:51:47.000Z | 2020-12-12T09:06:18.000Z | product_catalog/tests/test_urls.py | ssorin/django-product-catalog | 98495de057a5bb6a04801dac800edc8fb3437f47 | [
"BSD-3-Clause"
] | 6 | 2018-12-20T08:22:25.000Z | 2022-03-11T23:11:30.000Z | product_catalog/tests/test_urls.py | ssorin/django-product-catalog | 98495de057a5bb6a04801dac800edc8fb3437f47 | [
"BSD-3-Clause"
] | 2 | 2017-12-06T23:56:14.000Z | 2021-07-23T16:16:18.000Z | # coding=utf-8
""" Product Catalog: urls test cases """
from django.test import TestCase
from django.urls import reverse
from django.urls import resolve
from product_catalog.models.product import Product
from product_catalog.models.category import Category
| 35.395833 | 83 | 0.64744 | # coding=utf-8
""" Product Catalog: urls test cases """
from django.test import TestCase
from django.urls import reverse
from django.urls import resolve
from product_catalog.models.product import Product
from product_catalog.models.category import Category
class UrlsTestCase(TestCase):
def setUp(self):
... | 1,327 | 8 | 104 |
c0624a4c47c50d8a78a829cdb8707fb16a0bbf74 | 8,194 | py | Python | code/msa.py | yanwang271/PKSpop | 458e719a4bf1c67a9ea6a3f70b579d62e24a0191 | [
"BSD-3-Clause"
] | 2 | 2019-04-11T16:35:31.000Z | 2019-04-11T16:43:44.000Z | code/msa.py | yanwang271/PKSpop | 458e719a4bf1c67a9ea6a3f70b579d62e24a0191 | [
"BSD-3-Clause"
] | null | null | null | code/msa.py | yanwang271/PKSpop | 458e719a4bf1c67a9ea6a3f70b579d62e24a0191 | [
"BSD-3-Clause"
] | 3 | 2019-04-11T16:36:36.000Z | 2020-11-20T16:10:04.000Z | #!/usr/bin/env python3
"""
Cluster and align the docking domain sequences
"""
import os
import subprocess
from Bio import SeqIO
from extract_seq import remove_invalid_pro
def clustering(info_dict):
'''
Cluster the query sequences to 3 classes
'''
c_seq = info_dict['c_seq_path']
n_seq = info_dict... | 33.444898 | 95 | 0.601782 | #!/usr/bin/env python3
"""
Cluster and align the docking domain sequences
"""
import os
import subprocess
from Bio import SeqIO
from extract_seq import remove_invalid_pro
def clustering(info_dict):
'''
Cluster the query sequences to 3 classes
'''
c_seq = info_dict['c_seq_path']
n_seq = info_dict... | 0 | 0 | 0 |
83a66691e7934e92a54af2411e1d853cc3a1d32c | 1,146 | py | Python | examples/reproject.py | EdsonGermano/socrata-py-walkthrough | 56901627fd3760987a8133a16710fbc5c5517aac | [
"Apache-2.0"
] | 1 | 2017-10-31T18:37:12.000Z | 2017-10-31T18:37:12.000Z | examples/reproject.py | EdsonGermano/socrata-py-walkthrough | 56901627fd3760987a8133a16710fbc5c5517aac | [
"Apache-2.0"
] | null | null | null | examples/reproject.py | EdsonGermano/socrata-py-walkthrough | 56901627fd3760987a8133a16710fbc5c5517aac | [
"Apache-2.0"
] | null | null | null | import sys
from examples.auth import authorization
from socrata import Socrata
socrata = Socrata(authorization)
file_path = sys.argv[1]
"""
This shows reprojecting from British National Grid
to WGS84
We're using the proj4 def from here:
http://spatialreference.org/ref/epsg/27700/
"""
with open(file_path, 'rb') as ... | 24.382979 | 138 | 0.558464 | import sys
from examples.auth import authorization
from socrata import Socrata
socrata = Socrata(authorization)
file_path = sys.argv[1]
"""
This shows reprojecting from British National Grid
to WGS84
We're using the proj4 def from here:
http://spatialreference.org/ref/epsg/27700/
"""
with open(file_path, 'rb') as ... | 0 | 0 | 0 |
596ff1419f0846f4d08cc8c3657fe39286179bfa | 7,650 | py | Python | yandex/cloud/mdb/greenplum/v1/resource_preset_pb2.py | ovandriyanov/python-sdk | eec7dc65ef23789388fa46d13087d4a03cdc6e57 | [
"MIT"
] | null | null | null | yandex/cloud/mdb/greenplum/v1/resource_preset_pb2.py | ovandriyanov/python-sdk | eec7dc65ef23789388fa46d13087d4a03cdc6e57 | [
"MIT"
] | null | null | null | yandex/cloud/mdb/greenplum/v1/resource_preset_pb2.py | ovandriyanov/python-sdk | eec7dc65ef23789388fa46d13087d4a03cdc6e57 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: yandex/cloud/mdb/greenplum/v1/resource_preset.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflect... | 47.515528 | 804 | 0.765621 | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: yandex/cloud/mdb/greenplum/v1/resource_preset.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflect... | 0 | 0 | 0 |
9b91366659a3c4d04636e40540c25f7eb5e166e1 | 380 | py | Python | PythonProgram/learningList.challenge.py | subash-kc/2022-01-04-Python | 5ce51e4265bcd860a4e62423edef6ec9cd1437b4 | [
"MIT"
] | 1 | 2022-01-14T18:03:42.000Z | 2022-01-14T18:03:42.000Z | PythonProgram/learningList.challenge.py | subash-kc/2022-01-04-Python | 5ce51e4265bcd860a4e62423edef6ec9cd1437b4 | [
"MIT"
] | null | null | null | PythonProgram/learningList.challenge.py | subash-kc/2022-01-04-Python | 5ce51e4265bcd860a4e62423edef6ec9cd1437b4 | [
"MIT"
] | null | null | null | # display only the IP addresses to the screen.
iplist = [ 5060, "80", 55, "10.0.0.1", "10.20.30.1", "ssh" ]
# example 1 - add up the strings
print("IP addresses: " + iplist[3] + ", and " + iplist[4])
# example 2 - use the comma separator
print("IP addresses:", iplist[3], ", and", iplist[4])
# example 3 - use an 'f-s... | 31.666667 | 60 | 0.621053 | # display only the IP addresses to the screen.
iplist = [ 5060, "80", 55, "10.0.0.1", "10.20.30.1", "ssh" ]
# example 1 - add up the strings
print("IP addresses: " + iplist[3] + ", and " + iplist[4])
# example 2 - use the comma separator
print("IP addresses:", iplist[3], ", and", iplist[4])
# example 3 - use an 'f-s... | 0 | 0 | 0 |
62e51c96917728ce58f07d0e579853deb7b9df81 | 1,672 | py | Python | examples/fake_blinkt.py | druck13/blinkt | 4370a64cbd4cf7d6177967b902f16793a4c5fa60 | [
"MIT"
] | null | null | null | examples/fake_blinkt.py | druck13/blinkt | 4370a64cbd4cf7d6177967b902f16793a4c5fa60 | [
"MIT"
] | null | null | null | examples/fake_blinkt.py | druck13/blinkt | 4370a64cbd4cf7d6177967b902f16793a4c5fa60 | [
"MIT"
] | null | null | null | """fake_blink terminal simulation of blinkt, to use rename to blinkt.py and place in same directory as blinkt program"""
import sys
import pantilthat
import atexit
import signal
_clear_on_exit = True
_true_color = True
NUM_PIXELS = 8
pixels = [(0,0,0)] * NUM_PIXELS
def set_clear_on_exit(value=Tru... | 21.714286 | 120 | 0.597488 | """fake_blink terminal simulation of blinkt, to use rename to blinkt.py and place in same directory as blinkt program"""
import sys
import pantilthat
import atexit
import signal
_clear_on_exit = True
_true_color = True
NUM_PIXELS = 8
pixels = [(0,0,0)] * NUM_PIXELS
def _exit():
if _clear_on_exit:
... | 826 | 0 | 161 |
3173c69743a7c472b3549e043a0891d2507a1ec6 | 320 | py | Python | tests/test_cassette.py | mfocko/requre | 14b63ea4390abadcaa193aa63b037bd08d1ea480 | [
"MIT"
] | null | null | null | tests/test_cassette.py | mfocko/requre | 14b63ea4390abadcaa193aa63b037bd08d1ea480 | [
"MIT"
] | null | null | null | tests/test_cassette.py | mfocko/requre | 14b63ea4390abadcaa193aa63b037bd08d1ea480 | [
"MIT"
] | null | null | null | from unittest import TestCase
from requre.cassette import CassetteExecution
| 26.666667 | 47 | 0.6625 | from unittest import TestCase
from requre.cassette import CassetteExecution
class Execution(TestCase):
def testCreate(self):
ce = CassetteExecution()
ce.function = lambda: "ahoj"
ce.cassette = "nothing"
self.assertEqual("ahoj", ce.function())
self.assertEqual("ahoj", ce())
| 189 | 5 | 49 |
dc7855f40ff09180648f562fab98406c09b77282 | 180 | py | Python | src/cqml/__init__.py | TheSwanFactory/cqml | 0ca1ddfa23c8fa44612cf520896f2e4159ef5d49 | [
"MIT"
] | null | null | null | src/cqml/__init__.py | TheSwanFactory/cqml | 0ca1ddfa23c8fa44612cf520896f2e4159ef5d49 | [
"MIT"
] | null | null | null | src/cqml/__init__.py | TheSwanFactory/cqml | 0ca1ddfa23c8fa44612cf520896f2e4159ef5d49 | [
"MIT"
] | null | null | null | # CQML
# Compact Query Meta-language
# https://github.com/TheSwanFactory/hclang/blob/master/hc/cqml.hc
# TODO: https://github.com/LucaCanali/sparkMeasure
from .wrappers import *
| 22.5 | 65 | 0.766667 | # CQML
# Compact Query Meta-language
# https://github.com/TheSwanFactory/hclang/blob/master/hc/cqml.hc
# TODO: https://github.com/LucaCanali/sparkMeasure
from .wrappers import *
| 0 | 0 | 0 |
19281664ee89ca7e557219fcf463320f03835ff5 | 4,329 | py | Python | src/gocept/template_rewrite/main.py | Wiseqube/gocept.template_rewrite | 28f5742de9eaf6e204e7923c7f7020c36852456b | [
"MIT"
] | 3 | 2018-08-29T12:59:16.000Z | 2019-08-21T07:41:16.000Z | src/gocept/template_rewrite/main.py | Wiseqube/gocept.template_rewrite | 28f5742de9eaf6e204e7923c7f7020c36852456b | [
"MIT"
] | 10 | 2019-08-13T12:02:02.000Z | 2021-01-21T13:52:48.000Z | src/gocept/template_rewrite/main.py | Wiseqube/gocept.template_rewrite | 28f5742de9eaf6e204e7923c7f7020c36852456b | [
"MIT"
] | 3 | 2018-09-18T11:15:04.000Z | 2021-11-29T14:13:50.000Z | from gocept.template_rewrite.dtml import DTMLRegexRewriter
from gocept.template_rewrite.lib2to3 import rewrite_using_2to3
from gocept.template_rewrite.pagetemplates import PTParseError
from gocept.template_rewrite.pagetemplates import PTParserRewriter
import argparse
import logging
import os
import os.path
import pathl... | 34.632 | 79 | 0.607993 | from gocept.template_rewrite.dtml import DTMLRegexRewriter
from gocept.template_rewrite.lib2to3 import rewrite_using_2to3
from gocept.template_rewrite.pagetemplates import PTParseError
from gocept.template_rewrite.pagetemplates import PTParserRewriter
import argparse
import logging
import os
import os.path
import pathl... | 1,276 | 0 | 135 |
aa6e809a57dfb74a5cc56be92f56d5c95ac81e0c | 22,400 | py | Python | stingray/events.py | nimeshvashistha/stingray | 10530b4dbcde6c0ef8228c0e634aa202b186cf22 | [
"MIT"
] | null | null | null | stingray/events.py | nimeshvashistha/stingray | 10530b4dbcde6c0ef8228c0e634aa202b186cf22 | [
"MIT"
] | null | null | null | stingray/events.py | nimeshvashistha/stingray | 10530b4dbcde6c0ef8228c0e634aa202b186cf22 | [
"MIT"
] | null | null | null | """
Definition of :class:`EventList`.
:class:`EventList` is used to handle photon arrival times.
"""
import copy
import pickle
import warnings
import numpy as np
import numpy.random as ra
from astropy.table import Table
from .filters import get_deadtime_mask
from .gti import append_gtis, check_separate, cross_gtis
... | 33.333333 | 114 | 0.557902 | """
Definition of :class:`EventList`.
:class:`EventList` is used to handle photon arrival times.
"""
import copy
import pickle
import warnings
import numpy as np
import numpy.random as ra
from astropy.table import Table
from .filters import get_deadtime_mask
from .gti import append_gtis, check_separate, cross_gtis
... | 3,437 | 0 | 159 |
c9ed1a015281c5d543377975b091e92c8f907d7b | 3,961 | py | Python | ros/src/tl_detector/light_classification/tl_classifier.py | piehlm/CarND-Capstone | 53b38f8da0d8e2fb5d154bb84f451c75f3397073 | [
"MIT"
] | null | null | null | ros/src/tl_detector/light_classification/tl_classifier.py | piehlm/CarND-Capstone | 53b38f8da0d8e2fb5d154bb84f451c75f3397073 | [
"MIT"
] | null | null | null | ros/src/tl_detector/light_classification/tl_classifier.py | piehlm/CarND-Capstone | 53b38f8da0d8e2fb5d154bb84f451c75f3397073 | [
"MIT"
] | null | null | null | from styx_msgs.msg import TrafficLight
import cv2
import numpy as np
import tensorflow as tf
import datetime
import rospy
from std_msgs.msg import String
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
| 38.456311 | 93 | 0.635193 | from styx_msgs.msg import TrafficLight
import cv2
import numpy as np
import tensorflow as tf
import datetime
import rospy
from std_msgs.msg import String
from sensor_msgs.msg import Image
from cv_bridge import CvBridge, CvBridgeError
class TLClassifier(object):
def __init__(self, is_simulation):
'''
... | 0 | 3,702 | 23 |
4e06ec75f27c21b311de337c41d0325864cd8128 | 4,919 | py | Python | src/pythonScripts/modules/DataChecks.py | colebrookson/research-access | cd36a516d8a08fe98e726ea8d7fc7dfa5828b28f | [
"CC-BY-4.0"
] | null | null | null | src/pythonScripts/modules/DataChecks.py | colebrookson/research-access | cd36a516d8a08fe98e726ea8d7fc7dfa5828b28f | [
"CC-BY-4.0"
] | 3 | 2021-08-10T13:44:16.000Z | 2021-08-14T17:46:54.000Z | src/pythonScripts/modules/DataChecks.py | colebrookson/research-access | cd36a516d8a08fe98e726ea8d7fc7dfa5828b28f | [
"CC-BY-4.0"
] | null | null | null | import numpy as np
import pandas as pd
def validate_cISSN(issn:str) -> bool:
"""
Validates the last character (c) of the ISSN number, based on the first 7 digits
returns: boolean: True if c is valid False otherwise
"""
assert type(issn) == str, "issn must be a string"
issn_num = is... | 30.937107 | 118 | 0.60988 | import numpy as np
import pandas as pd
class DataChecksException(Exception):
def __init__(self, msg, sheetID, ref, detail):
self.msg = msg
self.sheetID = sheetID
self.ref = ref
self.detail = detail
def getSheetID(self):
return self.sheetID
def getTyp... | 683 | 16 | 270 |
54ec696345f81105b1ebefad5e46a229d6bcb23f | 7,254 | py | Python | rdflib_sqlalchemy/tables.py | gjhiggins/rdflib-sqlalchemy | d4c057934cd2675083d3df943103bdffb20341d4 | [
"BSD-3-Clause"
] | 112 | 2015-02-21T15:56:34.000Z | 2022-02-22T12:10:26.000Z | rdflib_sqlalchemy/tables.py | gjhiggins/rdflib-sqlalchemy | d4c057934cd2675083d3df943103bdffb20341d4 | [
"BSD-3-Clause"
] | 64 | 2015-01-22T12:40:11.000Z | 2021-12-27T19:15:14.000Z | rdflib_sqlalchemy/tables.py | gjhiggins/rdflib-sqlalchemy | d4c057934cd2675083d3df943103bdffb20341d4 | [
"BSD-3-Clause"
] | 28 | 2015-06-22T08:06:58.000Z | 2022-02-16T11:17:49.000Z | from sqlalchemy import Column, Table, Index, types
from rdflib_sqlalchemy.types import TermType
MYSQL_MAX_INDEX_LENGTH = 200
TABLE_NAME_TEMPLATES = [
"{interned_id}_asserted_statements",
"{interned_id}_literal_statements",
"{interned_id}_namespace_binds",
"{interned_id}_quoted_statements",
"{int... | 33.897196 | 90 | 0.600772 | from sqlalchemy import Column, Table, Index, types
from rdflib_sqlalchemy.types import TermType
MYSQL_MAX_INDEX_LENGTH = 200
TABLE_NAME_TEMPLATES = [
"{interned_id}_asserted_statements",
"{interned_id}_literal_statements",
"{interned_id}_namespace_binds",
"{interned_id}_quoted_statements",
"{int... | 6,760 | 0 | 138 |
67527770fab38a278e3a6a862f1b7858af4000da | 1,633 | py | Python | ubersmith_client/_http_utils.py | internap/python-ubersmithclient | b406eddfdc11315e8f685285ca8ba6523bc0fba3 | [
"Apache-2.0"
] | 1 | 2016-01-29T18:56:23.000Z | 2016-01-29T18:56:23.000Z | ubersmith_client/_http_utils.py | internap/python-ubersmithclient | b406eddfdc11315e8f685285ca8ba6523bc0fba3 | [
"Apache-2.0"
] | 16 | 2016-02-01T18:26:25.000Z | 2020-04-29T17:09:24.000Z | ubersmith_client/_http_utils.py | internap/python-ubersmithclient | b406eddfdc11315e8f685285ca8ba6523bc0fba3 | [
"Apache-2.0"
] | 8 | 2016-03-09T19:38:25.000Z | 2017-02-15T21:26:56.000Z | # Copyright 2017 Internap.
#
# 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, so... | 34.020833 | 77 | 0.642376 | # Copyright 2017 Internap.
#
# 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, so... | 988 | 0 | 69 |
9d9624410acf29a1d17afa7bb5a3ed7e67173e13 | 1,276 | py | Python | open511_server/utils/optimization.py | Open511/open511-server | f78301bff6aae582baae71022bc84e97c44e7650 | [
"MIT"
] | 1 | 2021-01-11T03:22:39.000Z | 2021-01-11T03:22:39.000Z | open511_server/utils/optimization.py | Open511/open511-server | f78301bff6aae582baae71022bc84e97c44e7650 | [
"MIT"
] | 2 | 2015-11-27T20:16:43.000Z | 2015-11-27T20:27:46.000Z | open511_server/utils/optimization.py | Open511/open511-server | f78301bff6aae582baae71022bc84e97c44e7650 | [
"MIT"
] | null | null | null | from functools import partial
import time
_cached_objects = dict()
CACHE_EXPIRY = 60 * 10
def get_cached_object(model, id):
"""
A very, very simple in-memory cache for ORM objects.
No invalidation other than restarting this app or waiting CACHE_EXPIRY seconds.
"""
lookup = (model, id)
cached =... | 27.73913 | 88 | 0.610502 | from functools import partial
import time
_cached_objects = dict()
CACHE_EXPIRY = 60 * 10
def get_cached_object(model, id):
"""
A very, very simple in-memory cache for ORM objects.
No invalidation other than restarting this app or waiting CACHE_EXPIRY seconds.
"""
lookup = (model, id)
cached =... | 477 | 0 | 80 |
8a804905c39b600ecce37c7c31b15a42d43ab1af | 25,309 | py | Python | repo2docker/app.py | bmcgtech/repo2docker | a2a812d5670e0677dc33cf22f305368b6279ffa8 | [
"BSD-3-Clause"
] | 1 | 2021-03-02T12:18:17.000Z | 2021-03-02T12:18:17.000Z | repo2docker/app.py | bmcgtech/repo2docker | a2a812d5670e0677dc33cf22f305368b6279ffa8 | [
"BSD-3-Clause"
] | null | null | null | repo2docker/app.py | bmcgtech/repo2docker | a2a812d5670e0677dc33cf22f305368b6279ffa8 | [
"BSD-3-Clause"
] | 1 | 2019-10-15T14:59:07.000Z | 2019-10-15T14:59:07.000Z | """repo2docker: convert git repositories into jupyter-suitable docker images
Images produced by repo2docker can be used with Jupyter notebooks standalone
or with BinderHub.
Usage:
python -m repo2docker https://github.com/you/your-repo
"""
import json
import sys
import logging
import os
import getpass
import shut... | 32.489089 | 107 | 0.554151 | """repo2docker: convert git repositories into jupyter-suitable docker images
Images produced by repo2docker can be used with Jupyter notebooks standalone
or with BinderHub.
Usage:
python -m repo2docker https://github.com/you/your-repo
"""
import json
import sys
import logging
import os
import getpass
import shut... | 675 | 0 | 54 |
0e416ddd456069d108fcc8c37156c66abbc2ccc0 | 2,824 | py | Python | tests/integration/whole_projects/test_duplo_project.py | ajeetraina/pycograph | a1bcf8e0f62a605a798e82373ec2279add83cf16 | [
"BSD-3-Clause"
] | 2 | 2021-04-20T22:39:03.000Z | 2021-11-30T20:26:23.000Z | tests/integration/whole_projects/test_duplo_project.py | ajeetraina/pycograph | a1bcf8e0f62a605a798e82373ec2279add83cf16 | [
"BSD-3-Clause"
] | 12 | 2021-04-23T13:09:49.000Z | 2021-05-15T23:39:32.000Z | tests/integration/whole_projects/test_duplo_project.py | ajeetraina/pycograph | a1bcf8e0f62a605a798e82373ec2279add83cf16 | [
"BSD-3-Clause"
] | 2 | 2022-01-09T12:55:42.000Z | 2022-03-05T09:22:29.000Z | import os
from pycograph import pycograph
from pycograph.schemas.parse_result import CALLS, CONTAINS, IMPORTS
from pycograph.schemas.pycograph_input import PycographLoadInput
from tests.integration.whole_projects.helpers import assert_edge, assert_node
| 30.042553 | 84 | 0.701487 | import os
from pycograph import pycograph
from pycograph.schemas.parse_result import CALLS, CONTAINS, IMPORTS
from pycograph.schemas.pycograph_input import PycographLoadInput
from tests.integration.whole_projects.helpers import assert_edge, assert_node
def test_duplo_project(test_data_dir, no_graph_commit):
dupl... | 2,546 | 0 | 23 |
936e1df9e466c953b4b6a6e778cd6224ad63282a | 4,790 | py | Python | parser/utils/alg.py | Jacob-Zhou/spw-parser | 5f746a54d9a1da0591fc34f024eac2639bc3f407 | [
"MIT"
] | null | null | null | parser/utils/alg.py | Jacob-Zhou/spw-parser | 5f746a54d9a1da0591fc34f024eac2639bc3f407 | [
"MIT"
] | null | null | null | parser/utils/alg.py | Jacob-Zhou/spw-parser | 5f746a54d9a1da0591fc34f024eac2639bc3f407 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from parser.utils.fn import stripe
import torch
import torch.autograd as autograd
@torch.enable_grad()
| 35.481481 | 79 | 0.597912 | # -*- coding: utf-8 -*-
from parser.utils.fn import stripe
import torch
import torch.autograd as autograd
def kmeans(x, k):
x = torch.tensor(x, dtype=torch.float)
# count the frequency of each datapoint
d, indices, f = x.unique(return_inverse=True, return_counts=True)
# calculate the sum of the valu... | 4,565 | 0 | 91 |
d2762a23bb2cdc8d49d2ea06f39df76edbe2c4d3 | 3,803 | py | Python | atari/eval_reward.py | yilin-wang/tril | fb3f1090d2056c063602c65d8b7d952ea5037872 | [
"MIT"
] | 1 | 2021-10-17T07:00:05.000Z | 2021-10-17T07:00:05.000Z | atari/eval_reward.py | yilin-wang/tril | fb3f1090d2056c063602c65d8b7d952ea5037872 | [
"MIT"
] | null | null | null | atari/eval_reward.py | yilin-wang/tril | fb3f1090d2056c063602c65d8b7d952ea5037872 | [
"MIT"
] | null | null | null | import argparse
import gym
from gym import spaces
import cv2
cv2.ocl.setUseOpenCL(False)
import pygame
import sys
import time
import matplotlib
import numpy as np
import pickle
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from run_test import *
from baselines.common.trex_utils impor... | 31.429752 | 111 | 0.648961 | import argparse
import gym
from gym import spaces
import cv2
cv2.ocl.setUseOpenCL(False)
import pygame
import sys
import time
import matplotlib
import numpy as np
import pickle
import random
import torch
import torch.nn as nn
import torch.nn.functional as F
from run_test import *
from baselines.common.trex_utils impor... | 734 | 952 | 69 |
247c64042c7a5d5b5cae2efb1bf244c7d158f68c | 315 | py | Python | save_tiff.py | xpspectre/cell-image | 6ceb7bc362d36408fe3c634f9c7155238d92c337 | [
"MIT"
] | 1 | 2017-06-07T14:28:15.000Z | 2017-06-07T14:28:15.000Z | save_tiff.py | xpspectre/cell-image | 6ceb7bc362d36408fe3c634f9c7155238d92c337 | [
"MIT"
] | null | null | null | save_tiff.py | xpspectre/cell-image | 6ceb7bc362d36408fe3c634f9c7155238d92c337 | [
"MIT"
] | null | null | null | from PIL import Image, TiffImagePlugin
TiffImagePlugin.WRITE_LIBTIFF = True
def save_tiff(output, img):
"""Save numpy array img as compressed TIFF as output file
Args:
output:
img:
Returns:
"""
pil_img = Image.fromarray(img)
pil_img.save(output, compression='packbits') | 18.529412 | 61 | 0.669841 | from PIL import Image, TiffImagePlugin
TiffImagePlugin.WRITE_LIBTIFF = True
def save_tiff(output, img):
"""Save numpy array img as compressed TIFF as output file
Args:
output:
img:
Returns:
"""
pil_img = Image.fromarray(img)
pil_img.save(output, compression='packbits') | 0 | 0 | 0 |
22f9a5041480ef7fa689f8e7296ecbdfa9a3cc6a | 1,360 | py | Python | Assignment02/Part01/testfile2.py | saurabhkakade21/AIS_spring2021 | 784d20670794c405505b09c1feea36e0a504ae5d | [
"MIT"
] | null | null | null | Assignment02/Part01/testfile2.py | saurabhkakade21/AIS_spring2021 | 784d20670794c405505b09c1feea36e0a504ae5d | [
"MIT"
] | null | null | null | Assignment02/Part01/testfile2.py | saurabhkakade21/AIS_spring2021 | 784d20670794c405505b09c1feea36e0a504ae5d | [
"MIT"
] | null | null | null |
from program2_funs import Searcher
# , hSLD, SNode
# (b) Show your program loading in the 30-node sample file.
s = Searcher("30node.txt")
# (c) Show you program setting start node=U and end node=T.
s.setStartGoal('U','T')
# myViz should be a DRDViz instance -> save map to file on disk.
s.myViz.sav... | 26.666667 | 83 | 0.627941 |
from program2_funs import Searcher
# , hSLD, SNode
# (b) Show your program loading in the 30-node sample file.
s = Searcher("30node.txt")
# (c) Show you program setting start node=U and end node=T.
s.setStartGoal('U','T')
# myViz should be a DRDViz instance -> save map to file on disk.
s.myViz.sav... | 0 | 0 | 0 |
bff1e76ad164593084fbefad95a83b162df75c01 | 146 | py | Python | headers/__init__.py | kirsn/py-message-headers | 3b79ce640823940552ed146d2171d4cd42c0796f | [
"MIT"
] | null | null | null | headers/__init__.py | kirsn/py-message-headers | 3b79ce640823940552ed146d2171d4cd42c0796f | [
"MIT"
] | null | null | null | headers/__init__.py | kirsn/py-message-headers | 3b79ce640823940552ed146d2171d4cd42c0796f | [
"MIT"
] | null | null | null | # Generated on 2019-02-03T13:03:06.509000
from mail import *
from http import *
from mime import *
from netnews import *
VERSION = "2019.02.03"
| 16.222222 | 41 | 0.726027 | # Generated on 2019-02-03T13:03:06.509000
from mail import *
from http import *
from mime import *
from netnews import *
VERSION = "2019.02.03"
| 0 | 0 | 0 |
dfcae8d70a1362e79e9bb893adf6e81fc66322dd | 6,471 | py | Python | allocator_2/allocator/views.py | mike-fam/allocator_v2 | da634e97f2c70dba89f78f884a564d473ff03648 | [
"MIT"
] | null | null | null | allocator_2/allocator/views.py | mike-fam/allocator_v2 | da634e97f2c70dba89f78f884a564d473ff03648 | [
"MIT"
] | null | null | null | allocator_2/allocator/views.py | mike-fam/allocator_v2 | da634e97f2c70dba89f78f884a564d473ff03648 | [
"MIT"
] | null | null | null | import hashlib
import json
import multiprocessing as mp
from typing import Optional
import psutil
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST, require_GET
from django.utils import timezone
from .constants import (
... | 35.751381 | 76 | 0.616752 | import hashlib
import json
import multiprocessing as mp
from typing import Optional
import psutil
from django.http import JsonResponse
from django.views.decorators.csrf import csrf_exempt
from django.views.decorators.http import require_POST, require_GET
from django.utils import timezone
from .constants import (
... | 5,722 | 0 | 67 |
1a1d3d9e95c93601968362551c5458c497c9c24f | 111 | py | Python | images/backer/src/lib/django_webpack/__init__.py | elston/djangit | 1d9ec2e287447fa8926a6fc440469771120df6a1 | [
"MIT"
] | null | null | null | images/backer/src/lib/django_webpack/__init__.py | elston/djangit | 1d9ec2e287447fa8926a6fc440469771120df6a1 | [
"MIT"
] | null | null | null | images/backer/src/lib/django_webpack/__init__.py | elston/djangit | 1d9ec2e287447fa8926a6fc440469771120df6a1 | [
"MIT"
] | null | null | null | __author__ = 'Den Elston'
__version__ = '0.0.1'
default_app_config = 'django_webpack.apps.DjangoWebpackConfig' | 27.75 | 62 | 0.792793 | __author__ = 'Den Elston'
__version__ = '0.0.1'
default_app_config = 'django_webpack.apps.DjangoWebpackConfig' | 0 | 0 | 0 |
d1c5ce506f21389536550ff93ab7ab36b9a910d5 | 355 | py | Python | Python/circle pattern.py | Chanchal2125/Hacktoberfest2021_PatternMaking | c962f1e93f45a97351fbffc49ed1fc526741d772 | [
"MIT"
] | 1 | 2021-10-09T11:48:21.000Z | 2021-10-09T11:48:21.000Z | Python/circle pattern.py | Chanchal2125/Hacktoberfest2021_PatternMaking | c962f1e93f45a97351fbffc49ed1fc526741d772 | [
"MIT"
] | null | null | null | Python/circle pattern.py | Chanchal2125/Hacktoberfest2021_PatternMaking | c962f1e93f45a97351fbffc49ed1fc526741d772 | [
"MIT"
] | null | null | null | import math
radius = 10
printPattern(radius) | 25.357143 | 49 | 0.55493 | import math
def printPattern(radius):
for i in range((2 * radius)+1):
for j in range((2 * radius)+1):
dist = math.sqrt((i - radius) * (i - radius) +
(j - radius) * (j - radius))
if (dist > radius - 1 and dist < radius + 1):
print("*",end="")
else:
print(" ",end="")
print()
# Driver co... | 289 | 0 | 22 |