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classes | is_sharp_comment_removed bool 1
class |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
f72ab179dcc3caf0aecde8a069b2cd8ed3626836 | 2,754 | py | Python | src/main/resources/classes/assassin/multihit.py | WynnLab/WynnLab | 9950bc1485fa187394c1b1326fa0b5c6b6a1ac96 | [
"MIT"
] | 2 | 2021-03-17T19:28:36.000Z | 2021-03-26T09:31:22.000Z | src/main/resources/classes/assassin/multihit.py | FauxKiwi/Wynnlab | 9950bc1485fa187394c1b1326fa0b5c6b6a1ac96 | [
"MIT"
] | 5 | 2021-06-08T12:13:40.000Z | 2021-08-09T15:04:23.000Z | src/main/resources/classes/assassin/multihit.py | FauxKiwi/Wynnlab | 9950bc1485fa187394c1b1326fa0b5c6b6a1ac96 | [
"MIT"
] | 4 | 2021-08-09T15:17:23.000Z | 2022-03-05T14:08:26.000Z | from org.bukkit import Particle, Sound
from org.bukkit.potion import PotionEffectType
from com.wynnlab.spells import PySpell
from com.wynnlab.util import BukkitUtils
class Spell(PySpell):
def __init__(self):
self.l = None
self.entities = None
self.shift = False
def init(self):
... | 41.727273 | 187 | 0.576253 | from org.bukkit import Particle, Sound
from org.bukkit.potion import PotionEffectType
from com.wynnlab.spells import PySpell
from com.wynnlab.util import BukkitUtils
class Spell(PySpell):
def __init__(self):
self.l = None
self.entities = None
self.shift = False
def init(self):
... | true | true |
f72ab1a21ac26d83b6dfe2d7a8390897f1a6f645 | 5,138 | py | Python | DSPdu.py | Francisobiagwu/SecureDocumentSharing | d8fe27f3ca4d1b470a8cbe6d3e475226bdb796c1 | [
"MIT"
] | 2 | 2018-06-21T18:06:15.000Z | 2021-08-19T15:27:55.000Z | DSPdu.py | Francisobiagwu/DocumentSharing | d8fe27f3ca4d1b470a8cbe6d3e475226bdb796c1 | [
"MIT"
] | null | null | null | DSPdu.py | Francisobiagwu/DocumentSharing | d8fe27f3ca4d1b470a8cbe6d3e475226bdb796c1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
@author: Francis Obiagwu
@software: SecureDocumentSharing
@file: DSPdu.py
@time: 6/6/18 7:16 PM
"""
import binascii
import struct
from datetime import datetime
from DSCodes import DSCode
class DSPdu:
"""
The DSPdu class is used to create a generic pdu object. The user have the opti... | 30.583333 | 127 | 0.527053 |
import binascii
import struct
from datetime import datetime
from DSCodes import DSCode
class DSPdu:
def __init__( self ):
elf ):
pass
def pack( self, array ):
self.s = struct.Struct(self.format)
self.size = self.s.size
return self.s.pack(*array)
def unpack( se... | true | true |
f72ab2180c0e9b438ab38e4580406e4f2106a777 | 731 | py | Python | main.py | beetrandahiya/project-Zurich | e46584c1e036ec95a9f612d04a3855349568e082 | [
"MIT"
] | null | null | null | main.py | beetrandahiya/project-Zurich | e46584c1e036ec95a9f612d04a3855349568e082 | [
"MIT"
] | null | null | null | main.py | beetrandahiya/project-Zurich | e46584c1e036ec95a9f612d04a3855349568e082 | [
"MIT"
] | null | null | null | import numpy as np
#test inputs
inputs = [1, 2, 3, 2.5]
weights = [[0.2, 0.8, -0.5, 1],
[0.5, -0.91, 0.26, -0.5],
[-0.26, -0.27, 0.17, 0.87]]
biases = [2, 3, 0.5]
def neuron_output(inputs, weights,bias):
return sum(inputs[i] * weights[i] for i in range(len(inputs)))+ bias
#this can also be done with numpy becau... | 22.151515 | 88 | 0.674419 | import numpy as np
inputs = [1, 2, 3, 2.5]
weights = [[0.2, 0.8, -0.5, 1],
[0.5, -0.91, 0.26, -0.5],
[-0.26, -0.27, 0.17, 0.87]]
biases = [2, 3, 0.5]
def neuron_output(inputs, weights,bias):
return sum(inputs[i] * weights[i] for i in range(len(inputs)))+ bias
def neuron_layer_output(inputs, weights, biase... | true | true |
f72ab2e85de44330df2bccc1d1ebf94901b9c48b | 387 | py | Python | students/K33401/Goncharov_Vladimir/Lr3/hotel/hotel/asgi.py | ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021 | bb91c91a56d21cec2b12ae4cc722eaa652a88420 | [
"MIT"
] | 4 | 2020-09-03T15:41:42.000Z | 2021-12-24T15:28:20.000Z | students/K33401/Goncharov_Vladimir/Lr3/hotel/hotel/asgi.py | ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021 | bb91c91a56d21cec2b12ae4cc722eaa652a88420 | [
"MIT"
] | 48 | 2020-09-13T20:22:42.000Z | 2021-04-30T11:13:30.000Z | students/K33401/Goncharov_Vladimir/Lr3/hotel/hotel/asgi.py | ShubhamKunal/ITMO_ICT_WebDevelopment_2020-2021 | bb91c91a56d21cec2b12ae4cc722eaa652a88420 | [
"MIT"
] | 69 | 2020-09-06T10:32:37.000Z | 2021-11-28T18:13:17.000Z | """
ASGI config for hotel project.
It exposes the ASGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/3.1/howto/deployment/asgi/
"""
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTING... | 22.764706 | 78 | 0.782946 |
import os
from django.core.asgi import get_asgi_application
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'hotel.settings')
application = get_asgi_application()
| true | true |
f72ab3141e4951a0fbf2744f08280c033d6a9acf | 13,023 | py | Python | imgcls/modeling/backbone/mobilenet.py | TuranSKT/detectron2_class | c90e68abbd39afa8c34d83ac760cabf3b5d02868 | [
"MIT"
] | 22 | 2020-06-09T11:06:15.000Z | 2022-03-29T16:24:23.000Z | imgcls/modeling/backbone/mobilenet.py | TuranSKT/detectron2_class | c90e68abbd39afa8c34d83ac760cabf3b5d02868 | [
"MIT"
] | 4 | 2020-07-09T16:39:48.000Z | 2020-11-25T13:34:52.000Z | imgcls/modeling/backbone/mobilenet.py | TuranSKT/detectron2_class | c90e68abbd39afa8c34d83ac760cabf3b5d02868 | [
"MIT"
] | 9 | 2020-06-10T09:55:09.000Z | 2021-08-20T12:55:26.000Z | '''
@Copyright (c) tkianai All Rights Reserved.
@Author : tkianai
@Github : https://github.com/tkianai
@Date : 2020-04-26 14:14:18
@FilePath : /ImageCls.detectron2/imgcls/modeling/backbone/mobilenet.py
@Description :
'''
import torch
import torch.nn as nn
from detectron2.layers imp... | 35.581967 | 95 | 0.543807 |
import torch
import torch.nn as nn
from detectron2.layers import Conv2d, ShapeSpec
from detectron2.modeling.backbone.build import BACKBONE_REGISTRY
from detectron2.modeling.backbone import Backbone
from detectron2.modeling.backbone.fpn import FPN, LastLevelMaxPool, LastLevelP6P7
__all__ = [
'build_mnetv1_backbo... | true | true |
f72ab477380e68f511e89a12fe5e0154052fb2b7 | 854 | py | Python | sleap/io/format/text.py | jens-k/sleap | 4e99ed037f1f7f41d9f15e2efaac638fc7e12b09 | [
"BSD-3-Clause-Clear"
] | null | null | null | sleap/io/format/text.py | jens-k/sleap | 4e99ed037f1f7f41d9f15e2efaac638fc7e12b09 | [
"BSD-3-Clause-Clear"
] | null | null | null | sleap/io/format/text.py | jens-k/sleap | 4e99ed037f1f7f41d9f15e2efaac638fc7e12b09 | [
"BSD-3-Clause-Clear"
] | null | null | null | from .adaptor import Adaptor, SleapObjectType
from .filehandle import FileHandle
class TextAdaptor(Adaptor):
@property
def handles(self):
return SleapObjectType.misc
@property
def default_ext(self):
return "txt"
@property
def all_exts(self):
return ["txt", "log"]
... | 21.35 | 56 | 0.619438 | from .adaptor import Adaptor, SleapObjectType
from .filehandle import FileHandle
class TextAdaptor(Adaptor):
@property
def handles(self):
return SleapObjectType.misc
@property
def default_ext(self):
return "txt"
@property
def all_exts(self):
return ["txt", "log"]
... | true | true |
f72ab504565970994d8e7ad4fc8bc28fa7d14daa | 14,614 | py | Python | tests/unit/anchore_engine/services/policy_engine/policy/test_parameters.py | dspalmer99/anchore-engine | 8c61318be6fec5d767426fa4ccd98472cc85b5cd | [
"Apache-2.0"
] | 1 | 2019-06-27T08:47:48.000Z | 2019-06-27T08:47:48.000Z | tests/unit/anchore_engine/services/policy_engine/policy/test_parameters.py | dspalmer99/anchore-engine | 8c61318be6fec5d767426fa4ccd98472cc85b5cd | [
"Apache-2.0"
] | 4 | 2020-11-07T00:16:02.000Z | 2020-11-08T20:52:06.000Z | tests/unit/anchore_engine/services/policy_engine/policy/test_parameters.py | dspalmer99/anchore-engine | 8c61318be6fec5d767426fa4ccd98472cc85b5cd | [
"Apache-2.0"
] | 1 | 2019-11-23T03:39:28.000Z | 2019-11-23T03:39:28.000Z | import unittest
from anchore_engine.services.policy_engine.engine.policy.params import JsonSchemaValidator, BooleanStringValidator, TypeValidator, CommaDelimitedNumberListValidator, EnumValidator, \
DelimitedEnumStringValidator, IntegerValidator, NameVersionListValidator, PipeDelimitedStringListValidator, CommaDel... | 32.189427 | 258 | 0.531066 | import unittest
from anchore_engine.services.policy_engine.engine.policy.params import JsonSchemaValidator, BooleanStringValidator, TypeValidator, CommaDelimitedNumberListValidator, EnumValidator, \
DelimitedEnumStringValidator, IntegerValidator, NameVersionListValidator, PipeDelimitedStringListValidator, CommaDel... | true | true |
f72ab6805d5b4e650b8e6b745b9ad9b0ed680de0 | 329 | py | Python | clingine/clock.py | avancayetano/clingine | 55e8bd6366aad3ae8e7ac9537fa3ae85efab9ddc | [
"MIT"
] | 12 | 2020-04-10T09:10:29.000Z | 2022-03-12T03:45:08.000Z | clingine/clock.py | avancayetano/clingine | 55e8bd6366aad3ae8e7ac9537fa3ae85efab9ddc | [
"MIT"
] | 6 | 2020-04-11T10:47:01.000Z | 2020-10-19T14:15:55.000Z | clingine/clock.py | avancayetano/clingine | 55e8bd6366aad3ae8e7ac9537fa3ae85efab9ddc | [
"MIT"
] | 1 | 2021-09-04T00:40:34.000Z | 2021-09-04T00:40:34.000Z | import time
class Clock:
def __init__(self):
self.start_time = time.time()
self.current_time = time.time()
def get_time(self):
return time.time() - self.start_time
def get_dt(self):
return time.time() - self.current_time
def update(self):
self.current_time = time.time()
def delay(self, sec):
time.s... | 19.352941 | 40 | 0.702128 | import time
class Clock:
def __init__(self):
self.start_time = time.time()
self.current_time = time.time()
def get_time(self):
return time.time() - self.start_time
def get_dt(self):
return time.time() - self.current_time
def update(self):
self.current_time = time.time()
def delay(self, sec):
time.s... | true | true |
f72ab6e6434d9b5f426cef3c89cc2fec38e25ed5 | 1,703 | py | Python | scripts/maf_covered_regions.py | tweirick/bx-python | f16a57e9f0a133ab4d62aed6fec087b8ce4ec848 | [
"MIT"
] | null | null | null | scripts/maf_covered_regions.py | tweirick/bx-python | f16a57e9f0a133ab4d62aed6fec087b8ce4ec848 | [
"MIT"
] | null | null | null | scripts/maf_covered_regions.py | tweirick/bx-python | f16a57e9f0a133ab4d62aed6fec087b8ce4ec848 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""
Read a maf file and print the regions covered to a set of bed files (one for
each sequence source referenced in the maf). Only blocks with a positive
percent identity are written out.
TODO: Can this be generalized to be made more useful?
usage: %prog bed_outfile_prefix < maf
"""
from __f... | 28.864407 | 107 | 0.570757 |
from __future__ import division, print_function
import sys
import bx.align.maf
import psyco_full
def block_pid( comp1, comp2 ):
match = 0
total = 0
t1 = comp1.text.lower()
t2 = comp2.text.lower()
for i in range( 0, len(t1) ):
a, b = t1[i], t2[i]
if a == '-' or b == '-':
... | true | true |
f72ab71ef7ac9e4ef3368da23f0af720b87fc67f | 448 | py | Python | M101P/week1/pymongo_exception_processing/mongo_exception.py | lambdaxymox/mongodb-university | fbab1dfa61b0c422f0d45209d0047261da3525c9 | [
"Unlicense"
] | 1 | 2020-04-08T03:03:16.000Z | 2020-04-08T03:03:16.000Z | M101P/week1/pymongo_exception_processing/mongo_exception.py | lambdaxymox/mongodb-university | fbab1dfa61b0c422f0d45209d0047261da3525c9 | [
"Unlicense"
] | null | null | null | M101P/week1/pymongo_exception_processing/mongo_exception.py | lambdaxymox/mongodb-university | fbab1dfa61b0c422f0d45209d0047261da3525c9 | [
"Unlicense"
] | 1 | 2020-04-08T03:03:18.000Z | 2020-04-08T03:03:18.000Z |
import sys
import pymongo
connection = pymongo.MongoClient("mongodb://localhost")
db = connection.test
users = db.users
doc = {'firstname':'Andrew', 'lastname':'Erlichson'}
print doc
print "about to insert the document"
try:
users.insert_one(doc)
except Exception as e:
print "insert failed:", e
print doc
... | 15.448276 | 55 | 0.716518 |
import sys
import pymongo
connection = pymongo.MongoClient("mongodb://localhost")
db = connection.test
users = db.users
doc = {'firstname':'Andrew', 'lastname':'Erlichson'}
print doc
print "about to insert the document"
try:
users.insert_one(doc)
except Exception as e:
print "insert failed:", e
print doc
... | false | true |
f72ab7e4fe69751d46adb928a0232848fd36398f | 4,962 | py | Python | apps/log_extract/handlers/thread.py | yiqiwang-17/bk-log | 7b356fced63b667baea300cfd194ad70a842c3ee | [
"MIT"
] | null | null | null | apps/log_extract/handlers/thread.py | yiqiwang-17/bk-log | 7b356fced63b667baea300cfd194ad70a842c3ee | [
"MIT"
] | null | null | null | apps/log_extract/handlers/thread.py | yiqiwang-17/bk-log | 7b356fced63b667baea300cfd194ad70a842c3ee | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making BK-LOG 蓝鲸日志平台 available.
Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
BK-LOG 蓝鲸日志平台 is licensed under the MIT License.
License for BK-LOG 蓝鲸日志平台:
------------------------------------------------... | 38.169231 | 116 | 0.689238 |
import logging
from functools import partial
from multiprocessing.pool import ThreadPool as _ThreadPool
from django import db
from django.utils import timezone, translation
from apps.utils.local import activate_request, get_request
from .local import local
logger = logging.getLogger(__name__)
def r... | true | true |
f72ab8481e4f48f3a7a7d665752d25ae94efa665 | 3,571 | py | Python | basic/string1.py | hmln/google-python-exercises | c9b55063708ea22a99914a3ad14fd2aae54336f2 | [
"Apache-2.0"
] | null | null | null | basic/string1.py | hmln/google-python-exercises | c9b55063708ea22a99914a3ad14fd2aae54336f2 | [
"Apache-2.0"
] | null | null | null | basic/string1.py | hmln/google-python-exercises | c9b55063708ea22a99914a3ad14fd2aae54336f2 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python -tt
# Copyright 2010 Google Inc.
# Licensed under the Apache License, Version 2.0
# http://www.apache.org/licenses/LICENSE-2.0
# Google's Python Class
# http://code.google.com/edu/languages/google-python-class/
# Basic string exercises
# Fill in the code for the functions below. main() is already se... | 32.463636 | 80 | 0.659199 |
# http://code.google.com/edu/languages/google-python-class/
# Basic string exercises
# Fill in the code for the functions below. main() is already set up
# to call the functions with a few different inputs,
# printing 'OK' when each function is correct.
# The starter code for each function includes a 'return'
# ... | true | true |
f72ab89546778e858c6dc70b6873b930fa6fde29 | 518 | py | Python | tests/test_config.py | kraeki/openair-jac | 760b1b1be7efebde1146b31cf0a9326a7362a82c | [
"BSD-3-Clause"
] | null | null | null | tests/test_config.py | kraeki/openair-jac | 760b1b1be7efebde1146b31cf0a9326a7362a82c | [
"BSD-3-Clause"
] | null | null | null | tests/test_config.py | kraeki/openair-jac | 760b1b1be7efebde1146b31cf0a9326a7362a82c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""Test configs."""
from openair.app import create_app
from openair.settings import DevConfig, ProdConfig
def test_production_config():
"""Production config."""
app = create_app(ProdConfig)
assert app.config['ENV'] == 'prod'
assert app.config['DEBUG'] is False
assert app.co... | 25.9 | 50 | 0.675676 |
from openair.app import create_app
from openair.settings import DevConfig, ProdConfig
def test_production_config():
app = create_app(ProdConfig)
assert app.config['ENV'] == 'prod'
assert app.config['DEBUG'] is False
assert app.config['DEBUG_TB_ENABLED'] is False
def test_dev_config():
app = cre... | true | true |
f72ab8a2448743b933326291b648e8d737b17a76 | 142 | py | Python | config/prd.py | by46/camel | b1ac2609bc5d1cd22933c07c9fce7b935f2d9394 | [
"MIT"
] | null | null | null | config/prd.py | by46/camel | b1ac2609bc5d1cd22933c07c9fce7b935f2d9394 | [
"MIT"
] | null | null | null | config/prd.py | by46/camel | b1ac2609bc5d1cd22933c07c9fce7b935f2d9394 | [
"MIT"
] | null | null | null | # PRD environment setting
# Flask-NegLog Settings
LOG_LEVEL = 'debug'
LOG_FILENAME = "/var/camel/error.log"
LOG_ENABLE_CONSOLE = False
| 20.285714 | 38 | 0.739437 |
LOG_LEVEL = 'debug'
LOG_FILENAME = "/var/camel/error.log"
LOG_ENABLE_CONSOLE = False
| true | true |
f72ab9e2e5e78bac6263ebb24b7540ab94fc5895 | 1,304 | py | Python | clean_prediction.py | richardanarfi/Recsys-Challenge-2018-TeamFL | 81e00a2417d530ea1033dcb22fbe29b7ceb12bb2 | [
"Apache-2.0"
] | null | null | null | clean_prediction.py | richardanarfi/Recsys-Challenge-2018-TeamFL | 81e00a2417d530ea1033dcb22fbe29b7ceb12bb2 | [
"Apache-2.0"
] | null | null | null | clean_prediction.py | richardanarfi/Recsys-Challenge-2018-TeamFL | 81e00a2417d530ea1033dcb22fbe29b7ceb12bb2 | [
"Apache-2.0"
] | null | null | null | from gensim.models import Word2Vec
from sklearn.decomposition import PCA
from matplotlib import pyplot
import string
import fnmatch
# define training data
#sentences = open('new_file_sentence.txt', 'r', encoding='utf-8')
path = 'predictions_v11_1500_clean.txt'
output_file = open("predictions_v11_500.txt", "... | 26.612245 | 66 | 0.595859 | from gensim.models import Word2Vec
from sklearn.decomposition import PCA
from matplotlib import pyplot
import string
import fnmatch
path = 'predictions_v11_1500_clean.txt'
output_file = open("predictions_v11_500.txt", "w")
input_texts = ()
with open(path) as f:
lines = f.read().split('\n')
for lin... | true | true |
f72aba22fc109af958a6de438269df6a2c4a6b07 | 1,733 | py | Python | tests/test_data/test_structured.py | el/elizabeth | dc82cd9d2bb230acdb2f1a49bc16b1c3d12077ff | [
"MIT"
] | null | null | null | tests/test_data/test_structured.py | el/elizabeth | dc82cd9d2bb230acdb2f1a49bc16b1c3d12077ff | [
"MIT"
] | null | null | null | tests/test_data/test_structured.py | el/elizabeth | dc82cd9d2bb230acdb2f1a49bc16b1c3d12077ff | [
"MIT"
] | 1 | 2019-12-27T19:34:17.000Z | 2019-12-27T19:34:17.000Z | # -*- coding: utf-8 -*-
import re
import csv
from elizabeth.core.providers import Structured
from unittest import TestCase
from elizabeth.core import interdata as common
from ._patterns import STR_REGEX
class StructuredBaseTest(TestCase):
def setUp(self):
self.structured = Structured('en')
def tear... | 36.104167 | 87 | 0.663589 |
import re
import csv
from elizabeth.core.providers import Structured
from unittest import TestCase
from elizabeth.core import interdata as common
from ._patterns import STR_REGEX
class StructuredBaseTest(TestCase):
def setUp(self):
self.structured = Structured('en')
def tearDown(self):
del... | true | true |
f72aba59680a1148f9878e622e1a32e4cbb7706a | 212 | py | Python | mayan/apps/document_states/managers.py | eshbeata/open-paperless | 6b9ed1f21908116ad2795b3785b2dbd66713d66e | [
"Apache-2.0"
] | 2,743 | 2017-12-18T07:12:30.000Z | 2022-03-27T17:21:25.000Z | mayan/apps/document_states/managers.py | kyper999/mayan-edms | ca7b8301a1f68548e8e718d42a728a500d67286e | [
"Apache-2.0"
] | 15 | 2020-06-06T00:00:48.000Z | 2022-03-12T00:03:54.000Z | mayan/apps/document_states/managers.py | kyper999/mayan-edms | ca7b8301a1f68548e8e718d42a728a500d67286e | [
"Apache-2.0"
] | 257 | 2017-12-18T03:12:58.000Z | 2022-03-25T08:59:10.000Z | from django.db import models
class WorkflowManager(models.Manager):
def launch_for(self, document):
for workflow in document.document_type.workflows.all():
workflow.launch_for(document)
| 26.5 | 63 | 0.726415 | from django.db import models
class WorkflowManager(models.Manager):
def launch_for(self, document):
for workflow in document.document_type.workflows.all():
workflow.launch_for(document)
| true | true |
f72aba799455f6cc85c2295c96a774ff725ab946 | 18,200 | py | Python | tests/onnx/test_onnx_model_export.py | kokoff/mlflow | 062722b172f403e613c41f9bb024b3e1673dfe31 | [
"Apache-2.0"
] | 1 | 2020-08-17T21:50:32.000Z | 2020-08-17T21:50:32.000Z | tests/onnx/test_onnx_model_export.py | kokoff/mlflow | 062722b172f403e613c41f9bb024b3e1673dfe31 | [
"Apache-2.0"
] | null | null | null | tests/onnx/test_onnx_model_export.py | kokoff/mlflow | 062722b172f403e613c41f9bb024b3e1673dfe31 | [
"Apache-2.0"
] | null | null | null | import sys
import os
import pytest
import mock
from keras.models import Sequential
from keras.layers import Dense
import sklearn.datasets as datasets
import pandas as pd
import numpy as np
import yaml
import tensorflow as tf
import mlflow.pyfunc.scoring_server as pyfunc_scoring_server
from mlflow import pyfunc
from m... | 34.469697 | 99 | 0.720879 | import sys
import os
import pytest
import mock
from keras.models import Sequential
from keras.layers import Dense
import sklearn.datasets as datasets
import pandas as pd
import numpy as np
import yaml
import tensorflow as tf
import mlflow.pyfunc.scoring_server as pyfunc_scoring_server
from mlflow import pyfunc
from m... | true | true |
f72abaa0b0eceda9463707c365f8a64adba68be2 | 30,975 | py | Python | .happydoc.fsa.py | osteele/pyfsa | 58a44106d3e3918a17a5a106584d1a91636f9d52 | [
"Artistic-1.0-Perl"
] | 7 | 2015-11-25T10:52:43.000Z | 2018-09-11T21:35:25.000Z | .happydoc.fsa.py | osteele/pyfsa | 58a44106d3e3918a17a5a106584d1a91636f9d52 | [
"Artistic-1.0-Perl"
] | null | null | null | .happydoc.fsa.py | osteele/pyfsa | 58a44106d3e3918a17a5a106584d1a91636f9d52 | [
"Artistic-1.0-Perl"
] | 7 | 2015-12-23T05:22:20.000Z | 2021-07-13T19:17:32.000Z | (S'822675c38199b44f85699c1653abb0fc'
p1
(ihappydoclib.parseinfo.moduleinfo
ModuleInfo
p2
(dp3
S'_namespaces'
p4
((dp5
S'FSA'
p6
(ihappydoclib.parseinfo.classinfo
ClassInfo
p7
(dp8
g4
((dp9
(dp10
S'nextStates'
p11
(ihappydoclib.parseinfo.functioninfo
FunctionInfo
(dp12
g4
((dp13
(dp14
tsS'_exception_info'
p15
(dsS'_para... | 10.604245 | 7,695 | 0.761195 | (S'822675c38199b44f85699c1653abb0fc'
p1
(ihappydoclib.parseinfo.moduleinfo
ModuleInfo
p2
(dp3
S'_namespaces'
p4
((dp5
S'FSA'
p6
(ihappydoclib.parseinfo.classinfo
ClassInfo
p7
(dp8
g4
((dp9
(dp10
S'nextStates'
p11
(ihappydoclib.parseinfo.functioninfo
FunctionInfo
(dp12
g4
((dp13
(dp14
tsS'_exception_info'
p15
(dsS'_para... | false | true |
f72ababf067d4c75b7546894366ccba2992a76c1 | 8,329 | py | Python | test/functional/feature_proxy.py | KingricharVD/DSW | 7281f6ed5c102687805d2bca707e675cbce7dd4d | [
"MIT"
] | 3 | 2020-10-02T13:11:53.000Z | 2021-11-06T18:02:32.000Z | test/functional/feature_proxy.py | KingricharVD/DSW | 7281f6ed5c102687805d2bca707e675cbce7dd4d | [
"MIT"
] | 3 | 2020-08-06T17:35:37.000Z | 2021-07-22T01:37:56.000Z | test/functional/feature_proxy.py | KingricharVD/DSW | 7281f6ed5c102687805d2bca707e675cbce7dd4d | [
"MIT"
] | 6 | 2020-10-09T16:42:49.000Z | 2021-07-05T20:57:23.000Z | #!/usr/bin/env python3
# Copyright (c) 2015-2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test bitcoind with different proxy configuration.
Test plan:
- Start nesteggd's with different proxy c... | 41.232673 | 121 | 0.625405 |
import socket
import os
from test_framework.socks5 import Socks5Configuration, Socks5Command, Socks5Server, AddressType
from test_framework.test_framework import PivxTestFramework
from test_framework.util import (
PORT_MIN,
PORT_RANGE,
assert_equal,
)
from test_framework.netutil import test_ipv6_local... | true | true |
f72abb4a157ff48785fee482319d874695a9722b | 10,815 | py | Python | tensorflow/python/training/tracking/resource.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 7 | 2022-03-04T21:14:47.000Z | 2022-03-22T23:07:39.000Z | tensorflow/python/training/tracking/resource.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 1 | 2022-03-08T18:28:46.000Z | 2022-03-08T18:37:20.000Z | tensorflow/python/training/tracking/resource.py | EricRemmerswaal/tensorflow | 141ff27877579c81a213fa113bd1b474c1749aca | [
"Apache-2.0"
] | 1 | 2022-03-22T00:45:15.000Z | 2022-03-22T00:45:15.000Z | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 34.887097 | 85 | 0.713269 |
import contextlib
import copy
import weakref
import six
from tensorflow.python.eager import context
from tensorflow.python.eager import def_function
from tensorflow.python.framework import ops
from tensorflow.python.training.tracking import base
from tensorflow.python.util import tf_contextlib
from ten... | true | true |
f72abbd3ee1fb7ddc9a51049416b8d1194ab3660 | 9,235 | py | Python | remove_code/sotas/SSAH-adversarial-attack-main/utils/fid_score.py | JohnZhang000/adaptive-jpeg-compression | f54e4798c01169812958f4d5539a03927dbdc313 | [
"MIT"
] | 9 | 2022-03-15T02:59:32.000Z | 2022-03-26T09:16:44.000Z | remove_code/sotas/SSAH-adversarial-attack-main/utils/fid_score.py | JohnZhang000/adaptive-jpeg-compression | f54e4798c01169812958f4d5539a03927dbdc313 | [
"MIT"
] | 1 | 2022-03-30T02:59:55.000Z | 2022-03-30T02:59:55.000Z | remove_code/sotas/SSAH-adversarial-attack-main/utils/fid_score.py | JohnZhang000/adaptive-jpeg-compression | f54e4798c01169812958f4d5539a03927dbdc313 | [
"MIT"
] | 1 | 2022-03-20T12:19:26.000Z | 2022-03-20T12:19:26.000Z | """Calculates the Frechet Inception Distance (FID) to evalulate GANs
The FID metric calculates the distance between two distributions of images.
Typically, we have summary statistics (mean & covariance matrix) of one
of these distributions, while the 2nd distribution is given by a GAN.
When run as a stand-alone progr... | 35.794574 | 78 | 0.636492 | import os
import pathlib
from argparse import ArgumentDefaultsHelpFormatter, ArgumentParser
from multiprocessing import cpu_count
import numpy as np
import torch
import torchvision.transforms as TF
from PIL import Image
from scipy import linalg
from torch.nn.functional import adaptive_avg_pool2d
try:
from tqdm im... | true | true |
f72abcf519c3d777dae73575160a3505946609c2 | 421 | py | Python | test/command_line/test_plot_Fo_vs_Fc.py | TiankunZhou/dials | bd5c95b73c442cceb1c61b1690fd4562acf4e337 | [
"BSD-3-Clause"
] | 58 | 2015-10-15T09:28:20.000Z | 2022-03-28T20:09:38.000Z | test/command_line/test_plot_Fo_vs_Fc.py | TiankunZhou/dials | bd5c95b73c442cceb1c61b1690fd4562acf4e337 | [
"BSD-3-Clause"
] | 1,741 | 2015-11-24T08:17:02.000Z | 2022-03-31T15:46:42.000Z | test/command_line/test_plot_Fo_vs_Fc.py | TiankunZhou/dials | bd5c95b73c442cceb1c61b1690fd4562acf4e337 | [
"BSD-3-Clause"
] | 45 | 2015-10-14T13:44:16.000Z | 2022-03-22T14:45:56.000Z | import procrunner
def test(dials_data, tmp_path):
mtz_file = dials_data("lysozyme_electron_diffraction").join("refmac_final.mtz")
result = procrunner.run(
["dials.plot_Fo_vs_Fc", "hklin=" + mtz_file.strpath], working_directory=tmp_path
)
assert not result.returncode and not result.stderr
a... | 35.083333 | 88 | 0.719715 | import procrunner
def test(dials_data, tmp_path):
mtz_file = dials_data("lysozyme_electron_diffraction").join("refmac_final.mtz")
result = procrunner.run(
["dials.plot_Fo_vs_Fc", "hklin=" + mtz_file.strpath], working_directory=tmp_path
)
assert not result.returncode and not result.stderr
a... | true | true |
f72ac027d54393cfbc8f4c4a085d814d8add6b01 | 99 | py | Python | algo228/shooter_game.py | voidwalker-so2/vasya228 | cf766ee40341aa46799a461a246fa1f8f24df0ec | [
"BSD-2-Clause"
] | null | null | null | algo228/shooter_game.py | voidwalker-so2/vasya228 | cf766ee40341aa46799a461a246fa1f8f24df0ec | [
"BSD-2-Clause"
] | null | null | null | algo228/shooter_game.py | voidwalker-so2/vasya228 | cf766ee40341aa46799a461a246fa1f8f24df0ec | [
"BSD-2-Clause"
] | null | null | null | #Создай собственный Шутер!
from pygame import *
dfgshfhsdljfvhs
ssdkgvkshdv
sdhvljsdhv
sljgvksjdg
| 12.375 | 26 | 0.848485 |
from pygame import *
dfgshfhsdljfvhs
ssdkgvkshdv
sdhvljsdhv
sljgvksjdg
| true | true |
f72ac04ea85e822cd8063706b8bc88973fb8d216 | 7,842 | py | Python | src/python/pants/backend/jvm/tasks/classpath_util.py | AllClearID/pants | c4fdf00a3bdf9f26f876e85c46909d0729f7132c | [
"Apache-2.0"
] | 1 | 2021-11-11T14:04:24.000Z | 2021-11-11T14:04:24.000Z | src/python/pants/backend/jvm/tasks/classpath_util.py | AllClearID/pants | c4fdf00a3bdf9f26f876e85c46909d0729f7132c | [
"Apache-2.0"
] | 2 | 2016-10-13T21:37:42.000Z | 2018-07-20T20:14:33.000Z | src/python/pants/backend/jvm/tasks/classpath_util.py | AllClearID/pants | c4fdf00a3bdf9f26f876e85c46909d0729f7132c | [
"Apache-2.0"
] | 1 | 2018-03-08T22:21:44.000Z | 2018-03-08T22:21:44.000Z | # coding=utf-8
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import itertools
imp... | 43.087912 | 97 | 0.733614 |
from __future__ import (absolute_import, division, generators, nested_scopes, print_function,
unicode_literals, with_statement)
import itertools
import os
from collections import OrderedDict
from twitter.common.collections import OrderedSet
from pants.util.contextutil import open_zip
from... | true | true |
f72ac0bed67e590b7732695c441a21acb5828469 | 2,176 | py | Python | Slider_Trinkey/Hue_Brightness_Python_Code/Hue_Brightness_Python_code.py | albinger/Adafruit_Learning_System_Guides | 4fe2da261fe5d1ca282b86bd3b93ee1466346fa7 | [
"MIT"
] | null | null | null | Slider_Trinkey/Hue_Brightness_Python_Code/Hue_Brightness_Python_code.py | albinger/Adafruit_Learning_System_Guides | 4fe2da261fe5d1ca282b86bd3b93ee1466346fa7 | [
"MIT"
] | null | null | null | Slider_Trinkey/Hue_Brightness_Python_Code/Hue_Brightness_Python_code.py | albinger/Adafruit_Learning_System_Guides | 4fe2da261fe5d1ca282b86bd3b93ee1466346fa7 | [
"MIT"
] | null | null | null | # SPDX-FileCopyrightText: 2021 Kattni Rembor for Adafruit Industries
#
# SPDX-License-Identifier: MIT
"""
Slider Trinkey Hue Brightness Python Example
(Requires Hue and Monitor Brightness CircuitPython example to be running on the Slider Trinkey)
"""
import sys
from phue import Bridge
import serial
from serial.tools i... | 31.085714 | 96 | 0.688879 |
import sys
from phue import Bridge
import serial
from serial.tools import list_ports
LAMP_OR_GROUP_NAME = "Office"
b = Bridge("0.0.0.0")
slider_trinkey_port = None
ports = list_ports.comports(include_links=False)
for p in ports:
if p.pid is not None:
print("Port:", p.device, "-", hex(p.pid), end="\... | true | true |
f72ac1123188353e94ecd664682ea810ce628d26 | 2,748 | py | Python | mira/auth.py | Bl4ck4/mira-1 | 2b907c1a4c09585f0c68223e0435cc7414eab3c5 | [
"MIT"
] | null | null | null | mira/auth.py | Bl4ck4/mira-1 | 2b907c1a4c09585f0c68223e0435cc7414eab3c5 | [
"MIT"
] | null | null | null | mira/auth.py | Bl4ck4/mira-1 | 2b907c1a4c09585f0c68223e0435cc7414eab3c5 | [
"MIT"
] | 1 | 2021-10-02T10:36:21.000Z | 2021-10-02T10:36:21.000Z | """Mira 2020."""
import functools
import requests
from flask import (
Blueprint, flash, g, redirect, render_template, request, session, url_for
)
from werkzeug.security import check_password_hash, generate_password_hash
BLUEPRINT = Blueprint('auth', __name__, url_prefix='/auth')
@BLUEPRINT.route('/login', methods... | 31.953488 | 81 | 0.612445 | import functools
import requests
from flask import (
Blueprint, flash, g, redirect, render_template, request, session, url_for
)
from werkzeug.security import check_password_hash, generate_password_hash
BLUEPRINT = Blueprint('auth', __name__, url_prefix='/auth')
@BLUEPRINT.route('/login', methods = ['GET', 'POST'... | true | true |
f72ac2161ec154a6fbc2d4c0db4116346291b457 | 9,690 | py | Python | homeassistant/components/zha/core/discovery.py | twrecked/core | d3ae8a938cdea9b6e0d443c91c37ac3dbbd459ab | [
"Apache-2.0"
] | 2 | 2021-09-13T21:44:02.000Z | 2021-12-17T21:20:51.000Z | homeassistant/components/zha/core/discovery.py | twrecked/core | d3ae8a938cdea9b6e0d443c91c37ac3dbbd459ab | [
"Apache-2.0"
] | 5 | 2021-02-08T20:55:25.000Z | 2022-03-12T00:51:18.000Z | homeassistant/components/zha/core/discovery.py | twrecked/core | d3ae8a938cdea9b6e0d443c91c37ac3dbbd459ab | [
"Apache-2.0"
] | 2 | 2020-11-04T07:40:01.000Z | 2021-09-13T21:44:03.000Z | """Device discovery functions for Zigbee Home Automation."""
from collections import Counter
import logging
from typing import Callable, List, Tuple
from homeassistant import const as ha_const
from homeassistant.core import callback
from homeassistant.helpers.dispatcher import (
async_dispatcher_connect,
asyn... | 36.022305 | 88 | 0.637771 |
from collections import Counter
import logging
from typing import Callable, List, Tuple
from homeassistant import const as ha_const
from homeassistant.core import callback
from homeassistant.helpers.dispatcher import (
async_dispatcher_connect,
async_dispatcher_send,
)
from homeassistant.helpers.entity_regist... | true | true |
f72ac2c60476f898867047bfebd012f5f4feae2c | 3,209 | py | Python | autocalibration/lib/python2.7/site-packages/matplotlib/tests/test_units.py | prcalopa/reactable-autocalibration | eb67a5b5ee0e50f1effa773f6f3f934b5fda6fcf | [
"MIT"
] | 5 | 2017-11-15T10:33:42.000Z | 2021-11-16T02:21:31.000Z | matplotlib/tests/test_units.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 2 | 2017-10-28T03:30:26.000Z | 2017-10-28T03:31:00.000Z | matplotlib/tests/test_units.py | EnjoyLifeFund/Debian_py36_packages | 1985d4c73fabd5f08f54b922e73a9306e09c77a5 | [
"BSD-3-Clause",
"BSD-2-Clause",
"MIT"
] | 6 | 2017-11-30T00:34:20.000Z | 2021-05-20T02:58:02.000Z | from matplotlib.cbook import iterable
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import image_comparison
import matplotlib.units as munits
import numpy as np
try:
# mock in python 3.3+
from unittest.mock import MagicMock
except ImportError:
from mock import MagicMock
# Basic class... | 33.778947 | 78 | 0.644126 | from matplotlib.cbook import iterable
import matplotlib.pyplot as plt
from matplotlib.testing.decorators import image_comparison
import matplotlib.units as munits
import numpy as np
try:
from unittest.mock import MagicMock
except ImportError:
from mock import MagicMock
class Quantity(object):
def _... | true | true |
f72ac3357d035fb96b484046450f998989af2f98 | 36,873 | py | Python | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | jolinlaw/turicreate | 6b2057dc29533da225d18138e93cc15680eea85d | [
"BSD-3-Clause"
] | null | null | null | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | jolinlaw/turicreate | 6b2057dc29533da225d18138e93cc15680eea85d | [
"BSD-3-Clause"
] | null | null | null | src/unity/python/turicreate/toolkits/drawing_classifier/drawing_classifier.py | jolinlaw/turicreate | 6b2057dc29533da225d18138e93cc15680eea85d | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright © 2019 Apple Inc. All rights reserved.
#
# Use of this source code is governed by a BSD-3-clause license that can
# be found in the LICENSE.txt file or at https://opensource.org/licenses/BSD-3-Clause
import turicreate as _tc
import numpy as _np
import time as _time
from turicreate.t... | 41.901136 | 123 | 0.609389 |
import turicreate as _tc
import numpy as _np
import time as _time
from turicreate.toolkits._model import CustomModel as _CustomModel
from turicreate.toolkits._model import PythonProxy as _PythonProxy
from turicreate.toolkits import evaluation as _evaluation
import turicreate.toolkits._internal_utils as _tkutl
fro... | true | true |
f72ac42fd9ceac1af5051c46c0355962da805968 | 15,671 | py | Python | restio/model.py | eduardostarling/restio | 66bdb0f86105bf090d7f109da2dd37cbd0096da7 | [
"MIT"
] | 3 | 2019-11-11T14:18:26.000Z | 2020-09-04T20:50:11.000Z | restio/model.py | eduardostarling/restio | 66bdb0f86105bf090d7f109da2dd37cbd0096da7 | [
"MIT"
] | 16 | 2019-11-19T14:39:30.000Z | 2021-06-26T15:08:21.000Z | restio/model.py | eduardostarling/restio | 66bdb0f86105bf090d7f109da2dd37cbd0096da7 | [
"MIT"
] | null | null | null | from __future__ import annotations
from collections.abc import Iterable
from reprlib import Repr
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Set, Tuple, Type
from uuid import UUID, uuid4
from restio.event import EventListener
from restio.fields.base import Field, T_co
from restio.shared imp... | 35.942661 | 88 | 0.639972 | from __future__ import annotations
from collections.abc import Iterable
from reprlib import Repr
from typing import TYPE_CHECKING, Any, Callable, Dict, List, Optional, Set, Tuple, Type
from uuid import UUID, uuid4
from restio.event import EventListener
from restio.fields.base import Field, T_co
from restio.shared imp... | true | true |
f72ac444a8eab9e84fe6a3ecf0f61835271a6e97 | 4,638 | py | Python | opencv3_align_images.py | jaydenmedia/OpenCV3-Python | e0bfed6582447c567f100c507f5a8c59b621dfe1 | [
"MIT"
] | null | null | null | opencv3_align_images.py | jaydenmedia/OpenCV3-Python | e0bfed6582447c567f100c507f5a8c59b621dfe1 | [
"MIT"
] | null | null | null | opencv3_align_images.py | jaydenmedia/OpenCV3-Python | e0bfed6582447c567f100c507f5a8c59b621dfe1 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Input data files are available in the "../input/" directory.
# For example, running this (by clicking run or pressing Shift+Enter) will
# list the files in the input directory from subprocess import check_output
#print(check_output(["ls", "../input"]).decode("utf8"))
#ORB is basically a fu... | 32.661972 | 80 | 0.625916 |
import numpy as np
import cv2
import os
import csv
import sys
from time import sleep
def im_align_orb(imp1, imp2, nf=10000):
img1 = cv2.imread(imp1, 0)
img2 = cv2.imread(imp2, 0)
h2, w2 = img2.shape[:2]
orb = cv2.ORB_create(nfeatures=nf, WTA_K=2)
kp1, des1 = orb.detectAndCom... | true | true |
f72ac5724f4c0949289c5827a02bc25b216cc4ef | 687 | py | Python | setup.py | DocNow/twarc-hashtags | 2a8ab84c9585b6efe9696194b6030ce5486a9e7e | [
"MIT"
] | 3 | 2021-09-09T06:22:39.000Z | 2022-02-25T13:51:29.000Z | setup.py | DocNow/twarc-hashtags | 2a8ab84c9585b6efe9696194b6030ce5486a9e7e | [
"MIT"
] | 1 | 2022-01-25T11:07:05.000Z | 2022-01-27T01:33:00.000Z | setup.py | DocNow/twarc-hashtags | 2a8ab84c9585b6efe9696194b6030ce5486a9e7e | [
"MIT"
] | null | null | null | import setuptools
with open("README.md") as f:
long_description = f.read()
setuptools.setup(
name='twarc-hashtags',
version='0.0.5',
url='https://github.com/docnow/twarc-hashtags',
author='Ed Summers',
author_email='ehs@pobox.com',
py_modules=['twarc_hashtags'],
description='A twarc pl... | 27.48 | 71 | 0.6754 | import setuptools
with open("README.md") as f:
long_description = f.read()
setuptools.setup(
name='twarc-hashtags',
version='0.0.5',
url='https://github.com/docnow/twarc-hashtags',
author='Ed Summers',
author_email='ehs@pobox.com',
py_modules=['twarc_hashtags'],
description='A twarc pl... | true | true |
f72ac585b2ba49e680b69313a2fa0d0a5d6a749c | 137 | py | Python | Python/Regex and Parsing/Validating Roman Numerals/Solution.py | PawarAditi/HackerRank | fcd9d1450ee293372ce5f1d4a3b7284ecf472657 | [
"MIT"
] | 219 | 2018-06-17T19:47:22.000Z | 2022-03-27T15:28:56.000Z | Python/Regex and Parsing/Validating Roman Numerals/Solution.py | PawarAditi/HackerRank | fcd9d1450ee293372ce5f1d4a3b7284ecf472657 | [
"MIT"
] | 2 | 2020-08-12T16:47:41.000Z | 2020-12-15T17:05:57.000Z | Python/Regex and Parsing/Validating Roman Numerals/Solution.py | PawarAditi/HackerRank | fcd9d1450ee293372ce5f1d4a3b7284ecf472657 | [
"MIT"
] | 182 | 2018-12-12T21:36:50.000Z | 2022-03-26T17:49:51.000Z | import re
regex_pattern = r'M{0,3}(C[MD]|D?C{0,3})(X[CL]|L?X{0,3})(I[VX]|V?I{0,3})$'
print(str(bool(re.match(regex_pattern, input())))) | 27.4 | 74 | 0.605839 | import re
regex_pattern = r'M{0,3}(C[MD]|D?C{0,3})(X[CL]|L?X{0,3})(I[VX]|V?I{0,3})$'
print(str(bool(re.match(regex_pattern, input())))) | true | true |
f72ac6556032482e4ba83a528d58e88c2de8f5b6 | 3,955 | py | Python | SimpleServer.py | wanzhiguo/mininero | 7dd71b02a4613478b59b2670ccf7c74a22cc2ffd | [
"BSD-3-Clause"
] | 64 | 2015-06-12T19:29:51.000Z | 2022-01-03T17:14:56.000Z | SimpleServer.py | wanzhiguo/mininero | 7dd71b02a4613478b59b2670ccf7c74a22cc2ffd | [
"BSD-3-Clause"
] | 4 | 2015-11-27T18:49:40.000Z | 2017-12-14T21:32:48.000Z | SimpleServer.py | wanzhiguo/mininero | 7dd71b02a4613478b59b2670ccf7c74a22cc2ffd | [
"BSD-3-Clause"
] | 39 | 2016-02-07T08:47:02.000Z | 2022-03-07T06:07:10.000Z | import MiniNero
import ed25519
import binascii
import PaperWallet
import cherrypy
import os
import time
import bitmonerod
import SimpleXMR2
lasttime = 0
def HexSigningPubKey(s):
return binascii.hexlify(ed25519.publickey(ed25519.encodeint(MiniNero.hexToInt(s))))
def Signature(m, sk):
#note this seems to return ni... | 35.3125 | 100 | 0.588369 | import MiniNero
import ed25519
import binascii
import PaperWallet
import cherrypy
import os
import time
import bitmonerod
import SimpleXMR2
lasttime = 0
def HexSigningPubKey(s):
return binascii.hexlify(ed25519.publickey(ed25519.encodeint(MiniNero.hexToInt(s))))
def Signature(m, sk):
sk2 = ed25519.encodeint... | true | true |
f72ac71ab4bf2592bbd31344ee98206db5efb0b0 | 1,390 | py | Python | dvc/command/run.py | IlyaKisil/dvc | 1f549d665944a314331282a132b1ba3cc3a835f5 | [
"Apache-2.0"
] | null | null | null | dvc/command/run.py | IlyaKisil/dvc | 1f549d665944a314331282a132b1ba3cc3a835f5 | [
"Apache-2.0"
] | null | null | null | dvc/command/run.py | IlyaKisil/dvc | 1f549d665944a314331282a132b1ba3cc3a835f5 | [
"Apache-2.0"
] | null | null | null | import dvc.logger as logger
from dvc.command.base import CmdBase
from dvc.exceptions import DvcException
class CmdRun(CmdBase):
def _joined_cmd(self):
if len(self.args.command) == 0:
return ''
if len(self.args.command) == 1:
return self.args.command[0]
cmd = ''
... | 33.095238 | 77 | 0.488489 | import dvc.logger as logger
from dvc.command.base import CmdBase
from dvc.exceptions import DvcException
class CmdRun(CmdBase):
def _joined_cmd(self):
if len(self.args.command) == 0:
return ''
if len(self.args.command) == 1:
return self.args.command[0]
cmd = ''
... | true | true |
f72ac72145f9cff31e471c1a682180a9ab441579 | 1,584 | py | Python | python/misc.py | dnbh/kpg | c9e79b8092434919e9ac90dc199f49845403c2ba | [
"MIT"
] | 69 | 2018-01-08T19:56:55.000Z | 2022-03-05T17:14:05.000Z | python/misc.py | dnbaker/emp | c9e79b8092434919e9ac90dc199f49845403c2ba | [
"MIT"
] | 6 | 2018-04-14T21:09:51.000Z | 2021-07-17T21:08:54.000Z | python/misc.py | dnbaker/emp | c9e79b8092434919e9ac90dc199f49845403c2ba | [
"MIT"
] | 11 | 2018-03-21T19:28:35.000Z | 2021-06-29T17:33:34.000Z | #!/usr/bin/env python
import sys
import string
from collections import defaultdict
def freq(iterable):
"""
Returns a dictionary of counts for each item in an iterable.
>>>freq("ACGTTTAAA")
{'A': 4, 'C': 1, 'G': 1, 'T': 3}
"""
ret = defaultdict(int)
for el in iterable:
ret[el] += 1
... | 22.628571 | 73 | 0.571338 |
import sys
import string
from collections import defaultdict
def freq(iterable):
ret = defaultdict(int)
for el in iterable:
ret[el] += 1
return ret
try:
from cytoolz import frequencies as freq
except ImportError:
pass
REV_CMP_TABLE = (str if sys.version_info[0] == 3
... | true | true |
f72ac86bdcf9c11af4e34184f7bc61e8e47c1475 | 1,781 | py | Python | dex/dextIR/CommandListIR.py | jmorse/dexter | 79cefa890d041dfc927aea2a84737aa704ddd35c | [
"MIT"
] | null | null | null | dex/dextIR/CommandListIR.py | jmorse/dexter | 79cefa890d041dfc927aea2a84737aa704ddd35c | [
"MIT"
] | null | null | null | dex/dextIR/CommandListIR.py | jmorse/dexter | 79cefa890d041dfc927aea2a84737aa704ddd35c | [
"MIT"
] | null | null | null | # DExTer : Debugging Experience Tester
# ~~~~~~ ~ ~~ ~ ~~
#
# Copyright (c) 2018 by SN Systems Ltd., Sony Interactive Entertainment Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# ... | 39.577778 | 79 | 0.718136 |
from dex.dextIR.CommandIR import CommandIR
from dex.utils.serialize import SrField, SrObject
class CommandListIR(SrObject):
sr_fields = [
SrField(
'command_list',
CommandIR,
list_of=True,
required_in_init=False,
default_val... | true | true |
f72ac92ca104149447f8f64cf75ef595d16ca300 | 9,128 | py | Python | tests/operators/test_gcs_to_s3.py | InigoSJ/airflow | 8b97a387dc30d8c88390d500ec99333798c20f1c | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2019-09-06T09:55:18.000Z | 2019-09-06T09:55:18.000Z | tests/operators/test_gcs_to_s3.py | InigoSJ/airflow | 8b97a387dc30d8c88390d500ec99333798c20f1c | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | tests/operators/test_gcs_to_s3.py | InigoSJ/airflow | 8b97a387dc30d8c88390d500ec99333798c20f1c | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | 1 | 2019-12-09T08:41:32.000Z | 2019-12-09T08:41:32.000Z | # -*- 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
#... | 48.296296 | 86 | 0.594106 |
import unittest
from airflow.operators.gcs_to_s3 import GoogleCloudStorageToS3Operator
from airflow.hooks.S3_hook import S3Hook
from tests.compat import mock
try:
from moto import mock_s3
except ImportError:
mock_s3 = None
TASK_ID = 'test-gcs-list-operator'
GCS_BUCKET = 'test-bucket'
DELIM... | true | true |
f72ac9963aa7ac311bd31b4b62e26bdb62abf353 | 4,930 | py | Python | apps/fig8.py | songhan/Halide | e7f78ac4ed6e154474732b1d53b9418fe353b0c0 | [
"MIT"
] | null | null | null | apps/fig8.py | songhan/Halide | e7f78ac4ed6e154474732b1d53b9418fe353b0c0 | [
"MIT"
] | null | null | null | apps/fig8.py | songhan/Halide | e7f78ac4ed6e154474732b1d53b9418fe353b0c0 | [
"MIT"
] | 1 | 2021-02-18T14:18:09.000Z | 2021-02-18T14:18:09.000Z | #/usr/bin/env python
from pygg import *
import pandas
from sqlalchemy import create_engine
from tempfile import mkstemp
import sys, os
resfname='fig8.csv'
res = pandas.read_csv(resfname)
"""
t = theme(axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
... | 33.537415 | 117 | 0.582353 |
from pygg import *
import pandas
from sqlalchemy import create_engine
from tempfile import mkstemp
import sys, os
resfname='fig8.csv'
res = pandas.read_csv(resfname)
"""
t = theme(axis.line=element_blank(),
axis.text.x=element_blank(),
axis.text.y=element_blank(),
axis.ticks=element... | false | true |
f72acb68ed93a51226e787125180c68eb7131f4d | 5,030 | py | Python | gdxpds/read_gdx.py | cdgaete/gdx-pandas | 2b9b00a177268227bce189939cdab081e09cb0dc | [
"BSD-3-Clause"
] | null | null | null | gdxpds/read_gdx.py | cdgaete/gdx-pandas | 2b9b00a177268227bce189939cdab081e09cb0dc | [
"BSD-3-Clause"
] | null | null | null | gdxpds/read_gdx.py | cdgaete/gdx-pandas | 2b9b00a177268227bce189939cdab081e09cb0dc | [
"BSD-3-Clause"
] | null | null | null | # [LICENSE]
# Copyright (c) 2018, Alliance for Sustainable Energy.
# All rights reserved.
#
# Redistribution and use in source and binary forms,
# with or without modification, are permitted provided
# that the following conditions are met:
#
# 1. Redistributions of source code must retain the above
# copyright no... | 34.689655 | 91 | 0.706362 |
from collections import OrderedDict
import logging
from gdxpds.tools import Error
from gdxpds.gdx import GdxFile
logger = logging.getLogger(__name__)
class Translator(object):
def __init__(self,gdx_file,gams_dir=None,lazy_load=False):
self.__gdx = GdxFile(gams_dir=g... | true | true |
f72acbaa7eb80d299ab01ae2d3c86752036d4dac | 24,244 | py | Python | test/api/table/test_table.py | rizwanniazigroupdocs/aspose-words-cloud-python | b943384a1e3c0710cc84df74119e6edf7356037e | [
"MIT"
] | null | null | null | test/api/table/test_table.py | rizwanniazigroupdocs/aspose-words-cloud-python | b943384a1e3c0710cc84df74119e6edf7356037e | [
"MIT"
] | null | null | null | test/api/table/test_table.py | rizwanniazigroupdocs/aspose-words-cloud-python | b943384a1e3c0710cc84df74119e6edf7356037e | [
"MIT"
] | null | null | null | # -----------------------------------------------------------------------------------
# <copyright company="Aspose" file="test_table.py">
# Copyright (c) 2020 Aspose.Words for Cloud
# </copyright>
# <summary>
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and asso... | 51.803419 | 201 | 0.735068 |
import os
import dateutil.parser
import asposewordscloud.models.requests
from test.base_test_context import BaseTestContext
class TestTable(BaseTestContext):
def test_get_tables(self):
remoteDataFolder = self.remote_test_folder + '/DocumentElements/Tables'
... | true | true |
f72acc530ce86db9d84ee3320a91420735f171b5 | 1,307 | py | Python | setup.py | jamenor/pichetprofile | 6633ea6eaa7473af9e10f34f6a19428c2db92465 | [
"MIT"
] | null | null | null | setup.py | jamenor/pichetprofile | 6633ea6eaa7473af9e10f34f6a19428c2db92465 | [
"MIT"
] | null | null | null | setup.py | jamenor/pichetprofile | 6633ea6eaa7473af9e10f34f6a19428c2db92465 | [
"MIT"
] | null | null | null | import io
from os.path import abspath, dirname, join
from setuptools import find_packages, setup
HERE = dirname(abspath(__file__))
LOAD_TEXT = lambda name: io.open(join(HERE, name), encoding='UTF-8').read()
DESCRIPTION = '\n\n'.join(LOAD_TEXT(_) for _ in [
'README.rst'
])
setup(
name = 'pichetprof... | 35.324324 | 82 | 0.613619 | import io
from os.path import abspath, dirname, join
from setuptools import find_packages, setup
HERE = dirname(abspath(__file__))
LOAD_TEXT = lambda name: io.open(join(HERE, name), encoding='UTF-8').read()
DESCRIPTION = '\n\n'.join(LOAD_TEXT(_) for _ in [
'README.rst'
])
setup(
name = 'pichetprof... | false | true |
f72accd8900bf752d4868f03ba6ce4c1c4210e08 | 7,851 | py | Python | kaggle/ghouls-goblins-and-ghosts-boo/script_3.py | josepablocam/janus-public | 4713092b27d02386bdb408213d8edc0dc5859eec | [
"MIT"
] | null | null | null | kaggle/ghouls-goblins-and-ghosts-boo/script_3.py | josepablocam/janus-public | 4713092b27d02386bdb408213d8edc0dc5859eec | [
"MIT"
] | null | null | null | kaggle/ghouls-goblins-and-ghosts-boo/script_3.py | josepablocam/janus-public | 4713092b27d02386bdb408213d8edc0dc5859eec | [
"MIT"
] | null | null | null | #Libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('whitegrid')
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.calibration import Calib... | 47.011976 | 104 | 0.672271 |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
sns.set_style('whitegrid')
from sklearn.preprocessing import LabelEncoder
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier
from sklearn.calibration import CalibratedClass... | true | true |
f72acedfe31ef0d6425a9d5e280c234bf012eb1c | 2,456 | py | Python | example.py | macky168/gaopt | bf2785325d3cb4489513f47ed06f745a059262f8 | [
"MIT"
] | null | null | null | example.py | macky168/gaopt | bf2785325d3cb4489513f47ed06f745a059262f8 | [
"MIT"
] | null | null | null | example.py | macky168/gaopt | bf2785325d3cb4489513f47ed06f745a059262f8 | [
"MIT"
] | null | null | null | import gaopt
from gaopt import search_space
import pandas as pd
import numpy as np
import lightgbm as lgb
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score
from sklearn.datasets import load_diabetes
params_range={
'lambda_l1': search_space.discrete_int(-8, 2),
'lambda_... | 31.487179 | 157 | 0.664088 | import gaopt
from gaopt import search_space
import pandas as pd
import numpy as np
import lightgbm as lgb
from sklearn.model_selection import train_test_split
from sklearn.metrics import r2_score
from sklearn.datasets import load_diabetes
params_range={
'lambda_l1': search_space.discrete_int(-8, 2),
'lambda_... | true | true |
f72acf6685fa304f560b7aba21b3cc59df08af86 | 1,407 | py | Python | plotly/validators/contour/colorbar/_tickfont.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 1 | 2018-07-16T01:51:47.000Z | 2018-07-16T01:51:47.000Z | plotly/validators/contour/colorbar/_tickfont.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | null | null | null | plotly/validators/contour/colorbar/_tickfont.py | faezs/plotly.py | 6009b5b9c746e5d2a2849ad255a4eb234b551ed7 | [
"MIT"
] | 1 | 2019-02-18T04:12:56.000Z | 2019-02-18T04:12:56.000Z | import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name='tickfont', parent_name='contour.colorbar', **kwargs
):
super(TickfontValidator, self).__init__(
plotly_name=plotly_name,
parent... | 39.083333 | 78 | 0.570007 | import _plotly_utils.basevalidators
class TickfontValidator(_plotly_utils.basevalidators.CompoundValidator):
def __init__(
self, plotly_name='tickfont', parent_name='contour.colorbar', **kwargs
):
super(TickfontValidator, self).__init__(
plotly_name=plotly_name,
parent... | true | true |
f72acf916cc7270f998cfd07db89c1ac93ca5b18 | 1,812 | py | Python | src/scripts/extract_syscall.py | Manouchehri/Triton-docker | ce49ce9ba49965a5e7f814f2b46e50cc74b704de | [
"BSD-3-Clause"
] | 1 | 2020-11-15T15:21:12.000Z | 2020-11-15T15:21:12.000Z | src/scripts/extract_syscall.py | Manouchehri/Triton-docker | ce49ce9ba49965a5e7f814f2b46e50cc74b704de | [
"BSD-3-Clause"
] | null | null | null | src/scripts/extract_syscall.py | Manouchehri/Triton-docker | ce49ce9ba49965a5e7f814f2b46e50cc74b704de | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
#
# This script is used to generate the files src/utils/syscalls{32,64}.cpp.
# As the list of syscalls depends of your Kernel version. We must
# generate the list at the compile time.
#
from __future__ import print_function
import argparse
import sys
import re
import platform
HEADER = """
/*! ... | 25.885714 | 98 | 0.570088 |
from __future__ import print_function
import argparse
import sys
import re
import platform
HEADER = """
/*! \\file */
#if defined(__unix__) || defined(__APPLE__)
#include <syscalls.hpp>
namespace triton {
namespace os {
namespace unix {
"""
FOOTER = """
}; /* unix namespace */
}; /* os namespa... | true | true |
f72ad055c9ca2d52827b7e4aa011c2370f6292dc | 15,695 | py | Python | electrum_ltc/tests/test_lnpeer.py | SynchrotronCoinDev/electrum-ltc | 178589f30ce57ca84e4d8bc7587f39522e9d17b3 | [
"MIT"
] | null | null | null | electrum_ltc/tests/test_lnpeer.py | SynchrotronCoinDev/electrum-ltc | 178589f30ce57ca84e4d8bc7587f39522e9d17b3 | [
"MIT"
] | null | null | null | electrum_ltc/tests/test_lnpeer.py | SynchrotronCoinDev/electrum-ltc | 178589f30ce57ca84e4d8bc7587f39522e9d17b3 | [
"MIT"
] | null | null | null | import asyncio
import tempfile
from decimal import Decimal
import os
from contextlib import contextmanager
from collections import defaultdict
import logging
import concurrent
from concurrent import futures
import unittest
from aiorpcx import TaskGroup
from electrum_ltc import constants
from electrum_ltc.network impo... | 39.633838 | 139 | 0.680663 | import asyncio
import tempfile
from decimal import Decimal
import os
from contextlib import contextmanager
from collections import defaultdict
import logging
import concurrent
from concurrent import futures
import unittest
from aiorpcx import TaskGroup
from electrum_ltc import constants
from electrum_ltc.network impo... | true | true |
f72ad123a16de5b88d83b7f0efe6887a58556b76 | 1,491 | py | Python | examples/map_view_simple_example.py | TomSchimansky/TkinterMapView | eb84f600e9b6bb8c60d88149e277b3abee704a70 | [
"CC0-1.0"
] | 43 | 2022-01-02T04:23:28.000Z | 2022-03-30T03:04:03.000Z | examples/map_view_simple_example.py | TomSchimansky/TkinterMapView | eb84f600e9b6bb8c60d88149e277b3abee704a70 | [
"CC0-1.0"
] | 6 | 2022-02-24T09:19:35.000Z | 2022-03-24T18:32:22.000Z | examples/map_view_simple_example.py | TomSchimansky/TkinterMapView | eb84f600e9b6bb8c60d88149e277b3abee704a70 | [
"CC0-1.0"
] | 4 | 2022-01-03T16:49:04.000Z | 2022-03-21T09:25:44.000Z | import tkinter
import tkintermapview
# create tkinter window
root_tk = tkinter.Tk()
root_tk.geometry(f"{1000}x{700}")
root_tk.title("map_view_simple_example.py")
# create map widget
map_widget = tkintermapview.TkinterMapView(root_tk, width=1000, height=700, corner_radius=0)
map_widget.pack(fill="both", expand=True)
... | 36.365854 | 126 | 0.739772 | import tkinter
import tkintermapview
root_tk = tkinter.Tk()
root_tk.geometry(f"{1000}x{700}")
root_tk.title("map_view_simple_example.py")
map_widget = tkintermapview.TkinterMapView(root_tk, width=1000, height=700, corner_radius=0)
map_widget.pack(fill="both", expand=True)
rker clicked - text: {marker.text} posit... | true | true |
f72ad1768efdd493f94b24b3d7caadf10628ed7b | 5,376 | py | Python | qtc_scoop.py | keceli/qtc | 334fae9cd0eea493437e95c9aeb5a3088cbac343 | [
"Apache-2.0"
] | null | null | null | qtc_scoop.py | keceli/qtc | 334fae9cd0eea493437e95c9aeb5a3088cbac343 | [
"Apache-2.0"
] | null | null | null | qtc_scoop.py | keceli/qtc | 334fae9cd0eea493437e95c9aeb5a3088cbac343 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import argparse
import subprocess
import iotools as io
import obtools as ob
import qctools as qc
import tctools as tc
try:
_runserial = False
from scoop import futures
from scoop import utils
except:
_runserial = True
print "No scoop, no concurency \n Running in serial mode...... | 33.391304 | 94 | 0.607515 |
import argparse
import subprocess
import iotools as io
import obtools as ob
import qctools as qc
import tctools as tc
try:
_runserial = False
from scoop import futures
from scoop import utils
except:
_runserial = True
print "No scoop, no concurency \n Running in serial mode..."
__updated__ = "201... | false | true |
f72ad17de09166bbcef6aaac4ff6b283c77049fa | 2,206 | py | Python | retrieve_response.py | kit-data-manager/gemma | 0ae4e64f966b389c7e7c5619c8fd09bef78c8c87 | [
"Apache-2.0"
] | null | null | null | retrieve_response.py | kit-data-manager/gemma | 0ae4e64f966b389c7e7c5619c8fd09bef78c8c87 | [
"Apache-2.0"
] | null | null | null | retrieve_response.py | kit-data-manager/gemma | 0ae4e64f966b389c7e7c5619c8fd09bef78c8c87 | [
"Apache-2.0"
] | null | null | null | import http.client
import os
import json
import wget
import mapping_functions
import pprint
import sys
HOST = 'episteme2.scc.kit.edu'
PORT = '8080'
URL = os.path.join('http://' + HOST + ':' + PORT, 'api/v1/dataresources')
output_folder = sys.argv[1]
payload = "{\n \t\"resourceType\": {\n \t\t\"typeGeneral\":\"TEXT\"... | 30.638889 | 115 | 0.629193 | import http.client
import os
import json
import wget
import mapping_functions
import pprint
import sys
HOST = 'episteme2.scc.kit.edu'
PORT = '8080'
URL = os.path.join('http://' + HOST + ':' + PORT, 'api/v1/dataresources')
output_folder = sys.argv[1]
payload = "{\n \t\"resourceType\": {\n \t\t\"typeGeneral\":\"TEXT\"... | true | true |
f72ad2f82bf260bd112b090bded6d3c5ba2e8a43 | 1,180 | py | Python | profiles_api/serializers.py | Atique-7/drf-genesis | a333564d285885c7661e3324d5503488d9ced6ae | [
"MIT"
] | null | null | null | profiles_api/serializers.py | Atique-7/drf-genesis | a333564d285885c7661e3324d5503488d9ced6ae | [
"MIT"
] | null | null | null | profiles_api/serializers.py | Atique-7/drf-genesis | a333564d285885c7661e3324d5503488d9ced6ae | [
"MIT"
] | null | null | null | from rest_framework import serializers
from profiles_api import models
class UserProfileSerializer(serializers.ModelSerializer):
"""serializes a user profile object"""
class Meta:
model = models.UserProfile
fields = ('id', 'name', 'email', 'password')
extra_kwargs = {
'pas... | 29.5 | 68 | 0.561864 | from rest_framework import serializers
from profiles_api import models
class UserProfileSerializer(serializers.ModelSerializer):
class Meta:
model = models.UserProfile
fields = ('id', 'name', 'email', 'password')
extra_kwargs = {
'password' : {
'write_only' : T... | true | true |
f72ad439a6e7cf5dac1b087074d4ee471a260a4b | 52 | py | Python | tests/python/overload1.py | jacereda/py2nim | 56fc2699d31241c60bed726f59efea4bf46be238 | [
"MIT"
] | 10 | 2020-03-10T12:01:01.000Z | 2021-05-23T19:47:06.000Z | tests/python/overload1.py | jacereda/py2nim | 56fc2699d31241c60bed726f59efea4bf46be238 | [
"MIT"
] | null | null | null | tests/python/overload1.py | jacereda/py2nim | 56fc2699d31241c60bed726f59efea4bf46be238 | [
"MIT"
] | 1 | 2020-07-17T11:20:56.000Z | 2020-07-17T11:20:56.000Z | def a(z, b):
print(z + b)
a(0, 0.0)
a('e', '')
| 8.666667 | 16 | 0.365385 | def a(z, b):
print(z + b)
a(0, 0.0)
a('e', '')
| true | true |
f72ad5b39fcaee399cd011abf25e5fda0c0342a6 | 24,914 | py | Python | jina/flow/mixin/async_crud.py | liushuigs/jina | b3550e901b2a340924330b5ba2801603e493c933 | [
"Apache-2.0"
] | null | null | null | jina/flow/mixin/async_crud.py | liushuigs/jina | b3550e901b2a340924330b5ba2801603e493c933 | [
"Apache-2.0"
] | 2 | 2021-02-15T01:40:38.000Z | 2021-02-15T02:00:21.000Z | jina/flow/mixin/async_crud.py | liushuigs/jina | b3550e901b2a340924330b5ba2801603e493c933 | [
"Apache-2.0"
] | null | null | null | import warnings
from typing import Union, Iterable, TextIO, Dict, Optional
import numpy as np
from ...clients.base import InputType, CallbackFnType
from ...enums import DataInputType
from ...helper import deprecated_alias
class AsyncCRUDFlowMixin:
"""The asynchronous version of the Mixin for CRUD in Flow"""
... | 40.70915 | 120 | 0.603837 | import warnings
from typing import Union, Iterable, TextIO, Dict, Optional
import numpy as np
from ...clients.base import InputType, CallbackFnType
from ...enums import DataInputType
from ...helper import deprecated_alias
class AsyncCRUDFlowMixin:
@deprecated_alias(
input_fn=('inputs', 0),
buff... | true | true |
f72ad5bc7ad2d8fb6d61ac7005b04ae01a495d56 | 1,629 | py | Python | packages/tool_util/tests/test_tool_linters.py | lawrence14701/galaxy | 7eb2fcb708e7b63e17800c87613ddfa5497c0654 | [
"CC-BY-3.0"
] | 2 | 2017-03-28T12:11:41.000Z | 2017-04-22T02:58:25.000Z | packages/tool_util/tests/test_tool_linters.py | lawrence14701/galaxy | 7eb2fcb708e7b63e17800c87613ddfa5497c0654 | [
"CC-BY-3.0"
] | 12 | 2020-07-24T23:55:19.000Z | 2021-12-19T11:40:06.000Z | packages/tool_util/tests/test_tool_linters.py | lawrence14701/galaxy | 7eb2fcb708e7b63e17800c87613ddfa5497c0654 | [
"CC-BY-3.0"
] | 1 | 2019-01-16T22:21:54.000Z | 2019-01-16T22:21:54.000Z | import pytest
from galaxy.tool_util.lint import LintContext
from galaxy.tool_util.linters import inputs
from galaxy.util import etree
NO_SECTIONS_XML = """
<tool name="BWA Mapper" id="bwa" version="1.0.1" is_multi_byte="true" display_interface="true" require_login="true" hidden="true">
<description>The BWA Mappe... | 39.731707 | 166 | 0.715163 | import pytest
from galaxy.tool_util.lint import LintContext
from galaxy.tool_util.linters import inputs
from galaxy.util import etree
NO_SECTIONS_XML = """
<tool name="BWA Mapper" id="bwa" version="1.0.1" is_multi_byte="true" display_interface="true" require_login="true" hidden="true">
<description>The BWA Mappe... | true | true |
f72ad5f44335464611bcb3461699a32b7602d505 | 7,802 | py | Python | virtual/lib/python3.6/site-packages/PIL/PsdImagePlugin.py | Ruterana/clone_instagram | a068587ef1d1a93ec8d1c08086bf11c0fb274b83 | [
"MIT"
] | 99 | 2019-10-09T16:14:46.000Z | 2022-03-17T02:23:47.000Z | virtual/lib/python3.6/site-packages/PIL/PsdImagePlugin.py | Ruterana/clone_instagram | a068587ef1d1a93ec8d1c08086bf11c0fb274b83 | [
"MIT"
] | 123 | 2019-09-10T14:48:01.000Z | 2019-11-28T21:24:06.000Z | virtual/lib/python3.6/site-packages/PIL/PsdImagePlugin.py | Ruterana/clone_instagram | a068587ef1d1a93ec8d1c08086bf11c0fb274b83 | [
"MIT"
] | 98 | 2019-10-17T14:48:28.000Z | 2022-01-21T03:33:38.000Z | #
# The Python Imaging Library
# $Id$
#
# Adobe PSD 2.5/3.0 file handling
#
# History:
# 1995-09-01 fl Created
# 1997-01-03 fl Read most PSD images
# 1997-01-18 fl Fixed P and CMYK support
# 2001-10-21 fl Added seek/tell support (for layers)
#
# Copyright (c) 1997-2001 by Secret Labs AB.
# Copyright (c) 1995-20... | 24.38125 | 81 | 0.481671 |
__version__ = "0.4"
import io
from . import Image, ImageFile, ImagePalette
from ._binary import i8, i16be as i16, i32be as i32
MODES = {
(0, 1): ("1", 1),
(0, 8): ("L", 1),
(1, 8): ("L", 1),
(2, 8): ("P", 1),
(3, 8): ("RGB", 3),
(4, 8): ("CMYK", 4),
(7, 8): ("L", ... | true | true |
f72ad8ba1938d20c873989d306f99b76c1ee53bf | 11,515 | py | Python | qiskit/tools/jupyter/backend_overview.py | t-imamichi/qiskit-core | 8d2eeeac44f97af1e10514cdae4157e5923ff2e5 | [
"Apache-2.0"
] | 92 | 2018-06-05T11:18:38.000Z | 2018-07-01T23:50:44.000Z | qiskit/tools/jupyter/backend_overview.py | t-imamichi/qiskit-core | 8d2eeeac44f97af1e10514cdae4157e5923ff2e5 | [
"Apache-2.0"
] | 107 | 2018-06-05T08:41:19.000Z | 2018-07-02T12:10:53.000Z | qiskit/tools/jupyter/backend_overview.py | t-imamichi/qiskit-core | 8d2eeeac44f97af1e10514cdae4157e5923ff2e5 | [
"Apache-2.0"
] | 39 | 2018-06-05T09:55:56.000Z | 2018-07-02T08:47:35.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2017, 2018.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivat... | 35.650155 | 99 | 0.590881 |
import time
import threading
import types
from IPython.display import display
from IPython.core.magic import line_magic, Magics, magics_class
from IPython.core import magic_arguments
import matplotlib.pyplot as plt
import ipywidgets as widgets
from qiskit.tools.monitor.overview import get_unique_backends
f... | true | true |
f72ada2ce523c5d4764bb97fbbec0c1d62c192e2 | 897 | py | Python | idaes/generic_models/unit_models/column_models/__init__.py | eslickj/idaes-pse | 328ed07ffb0b4d98c03e972675ea32c41dd2531a | [
"RSA-MD"
] | 112 | 2019-02-11T23:16:36.000Z | 2022-03-23T20:59:57.000Z | idaes/generic_models/unit_models/column_models/__init__.py | eslickj/idaes-pse | 328ed07ffb0b4d98c03e972675ea32c41dd2531a | [
"RSA-MD"
] | 621 | 2019-03-01T14:44:12.000Z | 2022-03-31T19:49:25.000Z | idaes/generic_models/unit_models/column_models/__init__.py | eslickj/idaes-pse | 328ed07ffb0b4d98c03e972675ea32c41dd2531a | [
"RSA-MD"
] | 154 | 2019-02-01T23:46:33.000Z | 2022-03-23T15:07:10.000Z | #################################################################################
# The Institute for the Design of Advanced Energy Systems Integrated Platform
# Framework (IDAES IP) was produced under the DOE Institute for the
# Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021
# by the softwar... | 52.764706 | 81 | 0.654404 | true | true | |
f72adb7883b52f3f1c6bf8306f57b1dd0008ab29 | 868 | py | Python | enviorment/colors.py | JLMadsen/TetrisAI | c6f2ef47a57e60b1ec73666406931ca46c9d1233 | [
"MIT"
] | 1 | 2020-11-23T22:11:33.000Z | 2020-11-23T22:11:33.000Z | enviorment/colors.py | JLMadsen/TetrisAI | c6f2ef47a57e60b1ec73666406931ca46c9d1233 | [
"MIT"
] | 1 | 2021-07-13T15:31:00.000Z | 2021-07-13T15:31:00.000Z | enviorment/colors.py | JLMadsen/TetrisAI | c6f2ef47a57e60b1ec73666406931ca46c9d1233 | [
"MIT"
] | 1 | 2021-02-02T14:11:57.000Z | 2021-02-02T14:11:57.000Z | class Color:
WHITE = (255, 255, 255)
BLACK = (0, 0, 0 )
GRAY = (100, 100, 100)
RED = (220, 20, 60 )
GREEN = (50, 205, 50 )
YELLOW = (255, 255, 0 )
PURPLE = (218, 112, 214)
ALL = [WHITE, BLACK, GRAY, RED, GREEN]
# just for printing colors in terminal
class bcolo... | 22.842105 | 43 | 0.562212 | class Color:
WHITE = (255, 255, 255)
BLACK = (0, 0, 0 )
GRAY = (100, 100, 100)
RED = (220, 20, 60 )
GREEN = (50, 205, 50 )
YELLOW = (255, 255, 0 )
PURPLE = (218, 112, 214)
ALL = [WHITE, BLACK, GRAY, RED, GREEN]
class bcolors:
HEADER = '\033[95m'
OKB... | true | true |
f72adc47d855b9bd8cfb880f4445828ea9fe2109 | 9,267 | py | Python | pysot/datasets/dataset_template.py | wattanapong/DFA | c05851beca2f8739f80531eb4de2f61639715cab | [
"Apache-2.0"
] | null | null | null | pysot/datasets/dataset_template.py | wattanapong/DFA | c05851beca2f8739f80531eb4de2f61639715cab | [
"Apache-2.0"
] | null | null | null | pysot/datasets/dataset_template.py | wattanapong/DFA | c05851beca2f8739f80531eb4de2f61639715cab | [
"Apache-2.0"
] | null | null | null | # Copyright (c) SenseTime. All Rights Reserved.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import logging
import sys
import os
import cv2
import numpy as np
from torch.utils.data import Dataset
from... | 34.449814 | 107 | 0.555627 |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import json
import logging
import sys
import os
import cv2
import numpy as np
from torch.utils.data import Dataset
from pysot.utils.bbox import center2corner, Center
... | true | true |
f72addc1225c0aa169e2bb36069de6d370480522 | 12,614 | py | Python | src/gluonnlp/data/utils.py | yifeim/gluon-nlp | ea30d3399d87404b731d513535af9a31a5672799 | [
"Apache-2.0"
] | null | null | null | src/gluonnlp/data/utils.py | yifeim/gluon-nlp | ea30d3399d87404b731d513535af9a31a5672799 | [
"Apache-2.0"
] | 2 | 2019-02-13T09:10:26.000Z | 2019-02-20T02:59:43.000Z | src/gluonnlp/data/utils.py | yifeim/gluon-nlp | ea30d3399d87404b731d513535af9a31a5672799 | [
"Apache-2.0"
] | 1 | 2019-02-13T03:07:06.000Z | 2019-02-13T03:07:06.000Z | # 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
# "License... | 30.616505 | 98 | 0.641589 |
from __future__ import absolute_import
from __future__ import print_function
__all__ = [
'Counter', 'count_tokens', 'concat_sequence', 'slice_sequence', 'train_valid_split',
'line_splitter', 'whitespace_splitter', 'Splitter'
]
import os
import collections
import zipfile
import tarfile
impor... | true | true |
f72addc1825c766c27b5ea9433ca8b1b439ac3e5 | 33,419 | py | Python | cirq/ops/common_gates.py | philiptmassey/Cirq | b8b457c2fc484d76bf8a82a73f6ecc11756229a6 | [
"Apache-2.0"
] | null | null | null | cirq/ops/common_gates.py | philiptmassey/Cirq | b8b457c2fc484d76bf8a82a73f6ecc11756229a6 | [
"Apache-2.0"
] | null | null | null | cirq/ops/common_gates.py | philiptmassey/Cirq | b8b457c2fc484d76bf8a82a73f6ecc11756229a6 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The Cirq Developers
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 32.071977 | 80 | 0.552739 |
from typing import (
Any, Callable, cast, Iterable, List, Optional, Tuple, Union,
)
import numpy as np
from cirq import linalg, protocols, value
from cirq.ops import gate_features, eigen_gate, raw_types, gate_operation
from cirq.type_workarounds import NotImplementedType
import cirq.ops.phased_x_... | true | true |
f72adde5fd070ac204654007f643a021dddeff3a | 4,967 | py | Python | sensirion_shdlc_sensorbridge/commands/firmware_update.py | Sensirion/python-shdlc-sensorbridge | c441c17d89697ecf0f7b61955f54c3da195e30e6 | [
"BSD-3-Clause"
] | null | null | null | sensirion_shdlc_sensorbridge/commands/firmware_update.py | Sensirion/python-shdlc-sensorbridge | c441c17d89697ecf0f7b61955f54c3da195e30e6 | [
"BSD-3-Clause"
] | 1 | 2021-03-28T22:15:29.000Z | 2021-11-03T09:06:14.000Z | sensirion_shdlc_sensorbridge/commands/firmware_update.py | Sensirion/python-shdlc-sensorbridge | c441c17d89697ecf0f7b61955f54c3da195e30e6 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# (c) Copyright 2020 Sensirion AG, Switzerland
##############################################################################
##############################################################################
# _____ _ _ _______ _____ ____ _ _
# / ____| ... | 35.733813 | 79 | 0.562915 | true | true | |
f72adf1f6af0532364f442d4ae606bac033e4b53 | 584 | py | Python | tutorials/migrations/0031_auto_20210211_1605.py | ericrobskyhuntley/vialab.mit.edu | 1318d03b8eeb106c1662052e1caa53290e206ae7 | [
"MIT"
] | null | null | null | tutorials/migrations/0031_auto_20210211_1605.py | ericrobskyhuntley/vialab.mit.edu | 1318d03b8eeb106c1662052e1caa53290e206ae7 | [
"MIT"
] | null | null | null | tutorials/migrations/0031_auto_20210211_1605.py | ericrobskyhuntley/vialab.mit.edu | 1318d03b8eeb106c1662052e1caa53290e206ae7 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.4 on 2021-02-11 21:05
from django.db import migrations
import martor.models
class Migration(migrations.Migration):
dependencies = [
('tutorials', '0030_auto_20200408_1257'),
]
operations = [
migrations.AlterField(
model_name='historicalsoftware',
... | 23.36 | 60 | 0.601027 |
from django.db import migrations
import martor.models
class Migration(migrations.Migration):
dependencies = [
('tutorials', '0030_auto_20200408_1257'),
]
operations = [
migrations.AlterField(
model_name='historicalsoftware',
name='desc',
field=martor... | true | true |
f72adf93c081da254d9748d047115a98b9ef3ffc | 6,631 | py | Python | feature_export.py | TAMU-CPT/blast-db-download | 53261f08d1f9193c4f538fa90983a465502190a9 | [
"BSD-3-Clause"
] | null | null | null | feature_export.py | TAMU-CPT/blast-db-download | 53261f08d1f9193c4f538fa90983a465502190a9 | [
"BSD-3-Clause"
] | 3 | 2017-09-15T18:58:21.000Z | 2020-03-24T19:11:16.000Z | feature_export.py | TAMU-CPT/blast-db-download | 53261f08d1f9193c4f538fa90983a465502190a9 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import sys
import argparse
import logging
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio.SeqFeature import SeqFeature, FeatureLocation
logging.basicConfig(level=logging.INFO)
log = logging.getLogger()
def get_id(feature=None, parent_prefix=None):
r... | 44.503356 | 120 | 0.527975 |
import sys
import argparse
import logging
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
from Bio.SeqFeature import SeqFeature, FeatureLocation
logging.basicConfig(level=logging.INFO)
log = logging.getLogger()
def get_id(feature=None, parent_prefix=None):
result = ""
if par... | false | true |
f72adfbd0b4913e9c0e119e52b6aa8237cc00b2a | 2,757 | py | Python | tools/count_opsize.py | VDIGPKU/OPANAS | 873ff09a65d3253ce8351e54880a642517f7e8b5 | [
"Apache-2.0"
] | 39 | 2021-03-31T21:15:48.000Z | 2022-03-30T03:34:14.000Z | tools/count_opsize.py | VDIGPKU/OPANAS | 873ff09a65d3253ce8351e54880a642517f7e8b5 | [
"Apache-2.0"
] | 8 | 2021-04-06T07:58:03.000Z | 2022-01-11T17:10:51.000Z | tools/count_opsize.py | VDIGPKU/OPANAS | 873ff09a65d3253ce8351e54880a642517f7e8b5 | [
"Apache-2.0"
] | 4 | 2021-04-06T03:28:56.000Z | 2022-03-06T19:57:50.000Z | import argparse
import os
import warnings
import mmcv
import torch
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import get_dist_info, init_dist, load_checkpoint
from mmcv.runner import (HOOKS, DistSamplerSeedH... | 31.689655 | 163 | 0.660863 | import argparse
import os
import warnings
import mmcv
import torch
from mmcv import Config, DictAction
from mmcv.cnn import fuse_conv_bn
from mmcv.parallel import MMDataParallel, MMDistributedDataParallel
from mmcv.runner import get_dist_info, init_dist, load_checkpoint
from mmcv.runner import (HOOKS, DistSamplerSeedH... | true | true |
f72ae0a27f7cd75894571c6fa943dd5463f7ef49 | 15,394 | py | Python | tests/test_rtc_parse_aec.py | fyntex/lib-cl-sii-python | b6ffb72be1f173a1d2e44b17ae5c08caf96ebf34 | [
"MIT"
] | 8 | 2020-03-07T19:58:40.000Z | 2021-12-15T13:47:40.000Z | tests/test_rtc_parse_aec.py | fyntex/lib-cl-sii-python | b6ffb72be1f173a1d2e44b17ae5c08caf96ebf34 | [
"MIT"
] | 141 | 2020-01-17T22:47:35.000Z | 2022-03-31T18:29:47.000Z | tests/test_rtc_parse_aec.py | fyntex/lib-cl-sii-python | b6ffb72be1f173a1d2e44b17ae5c08caf96ebf34 | [
"MIT"
] | 3 | 2020-03-07T20:30:02.000Z | 2021-03-22T03:14:26.000Z | from __future__ import annotations
import unittest
from datetime import date, datetime
from cl_sii.dte.data_models import DteDataL1, DteXmlData
from cl_sii.dte.constants import TipoDteEnum
from cl_sii.dte.parse import DTE_XMLNS
from cl_sii.libs import encoding_utils
from cl_sii.libs import tz_utils
from cl_sii.libs i... | 44.235632 | 100 | 0.59023 | from __future__ import annotations
import unittest
from datetime import date, datetime
from cl_sii.dte.data_models import DteDataL1, DteXmlData
from cl_sii.dte.constants import TipoDteEnum
from cl_sii.dte.parse import DTE_XMLNS
from cl_sii.libs import encoding_utils
from cl_sii.libs import tz_utils
from cl_sii.libs i... | true | true |
f72ae0f6c794d479f6cdc796193f0e7a465e9821 | 15,152 | py | Python | Perception-Project/project_template.py | renowator/Udacity_Robotics_Projects | 3dc1f1ebff3c33d6bbb031653398ace5beb7f809 | [
"MIT"
] | null | null | null | Perception-Project/project_template.py | renowator/Udacity_Robotics_Projects | 3dc1f1ebff3c33d6bbb031653398ace5beb7f809 | [
"MIT"
] | null | null | null | Perception-Project/project_template.py | renowator/Udacity_Robotics_Projects | 3dc1f1ebff3c33d6bbb031653398ace5beb7f809 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Import modules
import matplotlib.colors
import matplotlib.pyplot as plt
import numpy as np
import sklearn
from sklearn.preprocessing import LabelEncoder
import pickle
from sensor_stick.srv import GetNormals
from sensor_stick.features import compute_color_histograms
from sensor_stick.features im... | 38.262626 | 159 | 0.714625 |
import matplotlib.colors
import matplotlib.pyplot as plt
import numpy as np
import sklearn
from sklearn.preprocessing import LabelEncoder
import pickle
from sensor_stick.srv import GetNormals
from sensor_stick.features import compute_color_histograms
from sensor_stick.features import compute_normal_histograms
from v... | false | true |
f72ae161a0eb4e5d0974932d1ca4ef7364cf371f | 152 | py | Python | aiocloudflare/api/zones/dns_records/import_/import_.py | Stewart86/aioCloudflare | 341c0941f8f888a8b7e696e64550bce5da4949e6 | [
"MIT"
] | 2 | 2021-09-14T13:20:55.000Z | 2022-02-24T14:18:24.000Z | aiocloudflare/api/zones/dns_records/import_/import_.py | Stewart86/aioCloudflare | 341c0941f8f888a8b7e696e64550bce5da4949e6 | [
"MIT"
] | 46 | 2021-09-08T08:39:45.000Z | 2022-03-29T12:31:05.000Z | aiocloudflare/api/zones/dns_records/import_/import_.py | Stewart86/aioCloudflare | 341c0941f8f888a8b7e696e64550bce5da4949e6 | [
"MIT"
] | 1 | 2021-12-30T23:02:23.000Z | 2021-12-30T23:02:23.000Z | from aiocloudflare.commons.auth import Auth
class Import_(Auth):
_endpoint1 = "zones"
_endpoint2 = "dns_records/import"
_endpoint3 = None
| 19 | 43 | 0.723684 | from aiocloudflare.commons.auth import Auth
class Import_(Auth):
_endpoint1 = "zones"
_endpoint2 = "dns_records/import"
_endpoint3 = None
| true | true |
f72ae291978b1bc7fcf2a7bbfa465ce316156938 | 596 | py | Python | ROSpractice/src/topics_quiz/src/topics_quiz_node.py | kasiv008/Robotics | 302b3336005acd81202ebbbb0c52a4b2692fa9c7 | [
"MIT"
] | 1 | 2021-07-19T10:15:08.000Z | 2021-07-19T10:15:08.000Z | ROSpractice/src/topics_quiz/src/topics_quiz_node.py | kasiv008/Robotics | 302b3336005acd81202ebbbb0c52a4b2692fa9c7 | [
"MIT"
] | null | null | null | ROSpractice/src/topics_quiz/src/topics_quiz_node.py | kasiv008/Robotics | 302b3336005acd81202ebbbb0c52a4b2692fa9c7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import LaserScan
def callback(msg):
L,M,R = msg.ranges[719],msg.ranges[360],msg.ranges[0]
move.linear.x = .2
if M < 1.2:
move.linear.x = .05
move.angular.z = .1
elif L > 30 and R > 30 and M > 30:... | 24.833333 | 57 | 0.642617 |
import rospy
from geometry_msgs.msg import Twist
from sensor_msgs.msg import LaserScan
def callback(msg):
L,M,R = msg.ranges[719],msg.ranges[360],msg.ranges[0]
move.linear.x = .2
if M < 1.2:
move.linear.x = .05
move.angular.z = .1
elif L > 30 and R > 30 and M > 30:
move.linear.... | true | true |
f72ae3fa136caa90b5e27aab7455fdec4407560e | 2,016 | py | Python | alipay/aop/api/domain/KoubeiSalesKbassetStuffProduceqrcodeBatchqueryModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/KoubeiSalesKbassetStuffProduceqrcodeBatchqueryModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | alipay/aop/api/domain/KoubeiSalesKbassetStuffProduceqrcodeBatchqueryModel.py | articuly/alipay-sdk-python-all | 0259cd28eca0f219b97dac7f41c2458441d5e7a6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import simplejson as json
from alipay.aop.api.constant.ParamConstants import *
class KoubeiSalesKbassetStuffProduceqrcodeBatchqueryModel(object):
def __init__(self):
self._batch_id = None
self._page_size = None
self._produce_order_id = None
... | 28.394366 | 83 | 0.613095 |
import simplejson as json
from alipay.aop.api.constant.ParamConstants import *
class KoubeiSalesKbassetStuffProduceqrcodeBatchqueryModel(object):
def __init__(self):
self._batch_id = None
self._page_size = None
self._produce_order_id = None
@property
def batch_id(self):
... | true | true |
f72ae4fe9cb98106976c818db916bbe6b063c51a | 2,243 | py | Python | sdk/python/tests/unit/test_feature_views.py | kevjumba/feast | 44d53fda71b5a82d9fb6e044b01d97080c2d018c | [
"Apache-2.0"
] | 810 | 2018-12-25T15:16:11.000Z | 2020-05-14T09:49:40.000Z | sdk/python/tests/unit/test_feature_views.py | kevjumba/feast | 44d53fda71b5a82d9fb6e044b01d97080c2d018c | [
"Apache-2.0"
] | 701 | 2018-12-21T05:18:43.000Z | 2020-05-16T01:30:21.000Z | sdk/python/tests/unit/test_feature_views.py | kevjumba/feast | 44d53fda71b5a82d9fb6e044b01d97080c2d018c | [
"Apache-2.0"
] | 155 | 2018-12-22T11:05:04.000Z | 2020-05-14T07:33:41.000Z | from datetime import timedelta
import pytest
from feast import PushSource
from feast.batch_feature_view import BatchFeatureView
from feast.data_format import AvroFormat
from feast.data_source import KafkaSource
from feast.infra.offline_stores.file_source import FileSource
from feast.stream_feature_view import StreamF... | 27.353659 | 79 | 0.628622 | from datetime import timedelta
import pytest
from feast import PushSource
from feast.batch_feature_view import BatchFeatureView
from feast.data_format import AvroFormat
from feast.data_source import KafkaSource
from feast.infra.offline_stores.file_source import FileSource
from feast.stream_feature_view import StreamF... | true | true |
f72ae59ecb83441e8b44b0616951c153ac6dd839 | 8,726 | py | Python | lambda/py/mutagen/_file.py | frivas/alexa-mixed-polly | bf0fde9005a66f3d6f0193799eacef934d166de7 | [
"W3C"
] | 2 | 2019-07-29T15:45:31.000Z | 2019-11-17T23:33:58.000Z | lambda/py/mutagen/_file.py | frivas/alexa-mixed-polly | bf0fde9005a66f3d6f0193799eacef934d166de7 | [
"W3C"
] | null | null | null | lambda/py/mutagen/_file.py | frivas/alexa-mixed-polly | bf0fde9005a66f3d6f0193799eacef934d166de7 | [
"W3C"
] | 1 | 2019-01-06T15:18:58.000Z | 2019-01-06T15:18:58.000Z | # -*- coding: utf-8 -*-
# Copyright (C) 2005 Michael Urman
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the License, or
# (at your option) any later version.
import wa... | 28.990033 | 79 | 0.607609 |
import warnings
from mutagen._util import DictMixin, loadfile
from mutagen._compat import izip
class FileType(DictMixin):
__module__ = "mutagen"
info = None
tags = None
filename = None
_mimes = ["application/octet-stream"]
def __init__(self, *args, **kwargs):
if not args an... | true | true |
f72ae5ad21d0d2e7c0cc825a649cff1858a27800 | 5,781 | py | Python | src/coolbeans/extort/ib.py | runarp/coolbeans | 128a7f2e45690d2d22b05608e555c44334f46859 | [
"MIT"
] | 5 | 2020-05-17T04:48:25.000Z | 2022-01-27T09:36:45.000Z | src/coolbeans/extort/ib.py | runarp/coolbeans | 128a7f2e45690d2d22b05608e555c44334f46859 | [
"MIT"
] | 1 | 2020-05-17T06:21:52.000Z | 2020-05-22T13:49:33.000Z | src/coolbeans/extort/ib.py | runarp/coolbeans | 128a7f2e45690d2d22b05608e555c44334f46859 | [
"MIT"
] | 1 | 2021-01-28T03:00:27.000Z | 2021-01-28T03:00:27.000Z | """Example Extorter, useful as a starting point"""
import typing
import logging
import dataclasses
import datetime
# 3rdparty
import slugify
# We use ibflex
from ibflex import parser, FlexStatement, CashAction
from coolbeans.extort.base import ExtortionProtocol
from coolbeans.tools.seeds import Trade, Transfer, E... | 33.034286 | 130 | 0.530877 |
import typing
import logging
import dataclasses
import datetime
import slugify
from ibflex import parser, FlexStatement, CashAction
from coolbeans.extort.base import ExtortionProtocol
from coolbeans.tools.seeds import Trade, Transfer, Expense, Income, EventDetail
logger = logging.getLogger(__name__)
def tra... | true | true |
f72ae5e176716f5b8b5bebf5ecd595df75c371dc | 1,555 | py | Python | example/run_SolveOneAgent_online.py | zehuilu/DrMaMP-Distributed-Real-time-Multi-agent-Mission-Planning-Algorithm | 894875ebddf7d1f6bbf7a47ce82f05d7be2bafdc | [
"Apache-2.0"
] | 4 | 2022-02-22T05:12:18.000Z | 2022-03-29T01:56:37.000Z | example/run_SolveOneAgent_online.py | zehuilu/DrMaMP-Distributed-Real-time-Multi-agent-Mission-Planning-Algorithm | 894875ebddf7d1f6bbf7a47ce82f05d7be2bafdc | [
"Apache-2.0"
] | null | null | null | example/run_SolveOneAgent_online.py | zehuilu/DrMaMP-Distributed-Real-time-Multi-agent-Mission-Planning-Algorithm | 894875ebddf7d1f6bbf7a47ce82f05d7be2bafdc | [
"Apache-2.0"
] | 3 | 2022-02-23T03:14:56.000Z | 2022-03-14T12:22:05.000Z | #!/usr/bin/env python3
import asyncio
import random
import matplotlib.pyplot as plt
import pathmagic
with pathmagic.context():
from Simulator import Simulator
from MissionPlanner import MissionPlanner
if __name__ == "__main__":
# define the world
map_width_meter = 25.0
map_height_meter = 25.0
... | 34.555556 | 104 | 0.686817 |
import asyncio
import random
import matplotlib.pyplot as plt
import pathmagic
with pathmagic.context():
from Simulator import Simulator
from MissionPlanner import MissionPlanner
if __name__ == "__main__":
map_width_meter = 25.0
map_height_meter = 25.0
map_resolution = 2
value_non_obs = 0... | true | true |
f72ae622b3e7a87cfbd8de23dda483349b388bb1 | 26,682 | py | Python | test/functional/tests/io_class/test_io_classification.py | josehu07/open-cas-linux-mf | 5c6870be8bbb6816645955b6e479c9b5c7c0074d | [
"BSD-3-Clause-Clear"
] | 2 | 2021-08-13T14:44:45.000Z | 2022-01-10T07:41:40.000Z | test/functional/tests/io_class/test_io_classification.py | josehu07/open-cas-linux-mf | 5c6870be8bbb6816645955b6e479c9b5c7c0074d | [
"BSD-3-Clause-Clear"
] | null | null | null | test/functional/tests/io_class/test_io_classification.py | josehu07/open-cas-linux-mf | 5c6870be8bbb6816645955b6e479c9b5c7c0074d | [
"BSD-3-Clause-Clear"
] | null | null | null | #
# Copyright(c) 2019-2020 Intel Corporation
# SPDX-License-Identifier: BSD-3-Clause-Clear
#
import random
from itertools import permutations
import pytest
from api.cas.ioclass_config import IoClass
from storage_devices.disk import DiskType, DiskTypeSet, DiskTypeLowerThan
from test_tools import fs_utils
from test_to... | 39.296024 | 100 | 0.670227 |
import random
from itertools import permutations
import pytest
from api.cas.ioclass_config import IoClass
from storage_devices.disk import DiskType, DiskTypeSet, DiskTypeLowerThan
from test_tools import fs_utils
from test_tools.dd import Dd
from test_tools.disk_utils import Filesystem
from test_tools.fio.fio imp... | true | true |
f72ae69658ad2a7325bb00e82f738fd441ad6552 | 1,684 | py | Python | flask_controller/controller.py | AlexFence/FlaskController | efbd51a6970d407128f79876e8724b75fe6ec156 | [
"MIT"
] | 3 | 2020-10-19T08:18:51.000Z | 2022-02-06T04:29:38.000Z | flask_controller/controller.py | TypicalFence/FlaskController | efbd51a6970d407128f79876e8724b75fe6ec156 | [
"MIT"
] | null | null | null | flask_controller/controller.py | TypicalFence/FlaskController | efbd51a6970d407128f79876e8724b75fe6ec156 | [
"MIT"
] | null | null | null | from abc import ABC
def route(rule, **options):
"""Decorator for defining routes of FlaskController classes.
Acts in the same way ass @app.route.
Can be used for a class to set a base route too.
Args:
path (str): The path of the newly defined route
options: refer to flasks docs for t... | 28.066667 | 78 | 0.604513 | from abc import ABC
def route(rule, **options):
def decorator(f):
f._route = (rule, options)
return f
return decorator
class FlaskController(ABC):
def __init__(self):
super(FlaskController, self).__init__()
def register(self, app):
members = dir(self)
route... | true | true |
f72ae6adfbd9100ea1e159819c5e0ed61df33f44 | 24,028 | py | Python | windows_packages_gpu/torch/testing/_internal/jit_metaprogramming_utils.py | codeproject/DeepStack | d96368a3db1bc0266cb500ba3701d130834da0e6 | [
"Apache-2.0"
] | 353 | 2020-12-10T10:47:17.000Z | 2022-03-31T23:08:29.000Z | windows_packages_gpu/torch/testing/_internal/jit_metaprogramming_utils.py | codeproject/DeepStack | d96368a3db1bc0266cb500ba3701d130834da0e6 | [
"Apache-2.0"
] | 80 | 2020-12-10T09:54:22.000Z | 2022-03-30T22:08:45.000Z | windows_packages_gpu/torch/testing/_internal/jit_metaprogramming_utils.py | codeproject/DeepStack | d96368a3db1bc0266cb500ba3701d130834da0e6 | [
"Apache-2.0"
] | 63 | 2020-12-10T17:10:34.000Z | 2022-03-28T16:27:07.000Z | # Torch
from torch.jit.annotations import BroadcastingList2, BroadcastingList3 # noqa: F401
from torch.testing._internal.common_methods_invocations import non_differentiable, create_input, \
unpack_variables
import torch.nn.functional as F
import torch
import torch.cuda
import torch.jit
import torch.jit._l... | 44.91215 | 125 | 0.579657 |
from torch.jit.annotations import BroadcastingList2, BroadcastingList3
from torch.testing._internal.common_methods_invocations import non_differentiable, create_input, \
unpack_variables
import torch.nn.functional as F
import torch
import torch.cuda
import torch.jit
import torch.jit._logging
import torch.... | true | true |
f72ae77f6af21241e139bcfcb73ffd4cb6993215 | 566 | py | Python | setup.py | galperins4/python-client | c8b6ea1f33801254eb560429b2c775d10fe60273 | [
"MIT"
] | 1 | 2018-06-15T11:19:23.000Z | 2018-06-15T11:19:23.000Z | setup.py | galperins4/mirror-python-client | c8b6ea1f33801254eb560429b2c775d10fe60273 | [
"MIT"
] | null | null | null | setup.py | galperins4/mirror-python-client | c8b6ea1f33801254eb560429b2c775d10fe60273 | [
"MIT"
] | null | null | null | import sys
import setuptools
requires = [
'requests>=2.19.1',
'backoff>=1.6.0',
'flatten_dict>=0.3.0'
]
tests_require = []
extras_require = {}
setuptools.setup(
name='hedera-python-client',
description='Python API client for Hedera Hashgraph.',
version='0.0.1',
author='TBD',
author... | 20.214286 | 68 | 0.676678 | import sys
import setuptools
requires = [
'requests>=2.19.1',
'backoff>=1.6.0',
'flatten_dict>=0.3.0'
]
tests_require = []
extras_require = {}
setuptools.setup(
name='hedera-python-client',
description='Python API client for Hedera Hashgraph.',
version='0.0.1',
author='TBD',
author... | true | true |
f72ae7e848291c51786e5d2a992f0c9c85761179 | 7,832 | py | Python | plugins/modules/oci_object_storage_replication_policy_facts.py | sagar2938/oci-ansible-collection | 5b8ce583a0d5d0aabf14494d61aea4649e18d1e6 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_object_storage_replication_policy_facts.py | sagar2938/oci-ansible-collection | 5b8ce583a0d5d0aabf14494d61aea4649e18d1e6 | [
"Apache-2.0"
] | null | null | null | plugins/modules/oci_object_storage_replication_policy_facts.py | sagar2938/oci-ansible-collection | 5b8ce583a0d5d0aabf14494d61aea4649e18d1e6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2020, 2021 Oracle and/or its affiliates.
# This software is made available to you under the terms of the GPL 3.0 license or the Apache 2.0 license.
# GNU General Public License v3.0+ (see COPYING or https://www.gnu.org/licenses/gpl-3.0.txt)
# Apache License v2.0
# See LICENSE.TXT for d... | 32.633333 | 122 | 0.655388 |
from __future__ import absolute_import, division, print_function
__metaclass__ = type
ANSIBLE_METADATA = {
"metadata_version": "1.1",
"status": ["preview"],
"supported_by": "community",
}
DOCUMENTATION = """
---
module: oci_object_storage_replication_policy_facts
short_description: Fetches detai... | true | true |
f72ae8822be3a2b344c2b3ee4a5a5f5d65da61a6 | 3,218 | py | Python | NTP_Bot/msg_interpreter.py | PEI-I1/Nos_Tech_Problems | cf8b0b51285a912988a96cc96438f81c75fa45b7 | [
"MIT"
] | null | null | null | NTP_Bot/msg_interpreter.py | PEI-I1/Nos_Tech_Problems | cf8b0b51285a912988a96cc96438f81c75fa45b7 | [
"MIT"
] | 14 | 2020-06-05T20:19:18.000Z | 2021-09-22T18:18:23.000Z | NTP_Bot/msg_interpreter.py | PEI-I1/Nos_Tech_Problems | cf8b0b51285a912988a96cc96438f81c75fa45b7 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import tensorflow_hub as hub
import numpy as np
import tensorflow_text
import json, re, os
from threading import Thread
from keywords import keywords
embeddings = {}
embed = None
def loadModelData():
''' Loads Tensorflow enconder and pre-encodes the problem data
'''
global embed
... | 37.858824 | 112 | 0.720945 |
import tensorflow_hub as hub
import numpy as np
import tensorflow_text
import json, re, os
from threading import Thread
from keywords import keywords
embeddings = {}
embed = None
def loadModelData():
global embed
global embeddings
embed = hub.load("https://tfhub.dev/google/universal-sentence-encoder-mul... | true | true |
f72ae89046ac8b319ed71a62b07e68d530306531 | 3,901 | py | Python | powerwatch/analysis/old_analysis_scripts/average_time_pw_uplug.py | nklugman/PlugWatch | 4fbd2506a6808542fc5246e87d3c382761da1eaf | [
"MIT"
] | null | null | null | powerwatch/analysis/old_analysis_scripts/average_time_pw_uplug.py | nklugman/PlugWatch | 4fbd2506a6808542fc5246e87d3c382761da1eaf | [
"MIT"
] | null | null | null | powerwatch/analysis/old_analysis_scripts/average_time_pw_uplug.py | nklugman/PlugWatch | 4fbd2506a6808542fc5246e87d3c382761da1eaf | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, window, asc, desc, lead, lag, udf, hour
from pyspark.sql.functions import month, year, lit, when, collect_list, struct, mean, stddev, stddev_pop
import pyspark.sql.functions as F
from pyspark.sql.window import Window
from ... | 40.216495 | 162 | 0.722892 |
from pyspark.sql import SparkSession
from pyspark.sql.functions import col, window, asc, desc, lead, lag, udf, hour
from pyspark.sql.functions import month, year, lit, when, collect_list, struct, mean, stddev, stddev_pop
import pyspark.sql.functions as F
from pyspark.sql.window import Window
from pyspark.sql.types imp... | true | true |
f72ae8f83fbcedd3eb02039ff2317a6935549fc8 | 5,975 | py | Python | lightlab/equipment/visa_bases/driver_base.py | CharLee674/rvisa_lightlab | b43e36f3436b60c8c5f3088b4cb0896c5360aa4a | [
"MIT"
] | null | null | null | lightlab/equipment/visa_bases/driver_base.py | CharLee674/rvisa_lightlab | b43e36f3436b60c8c5f3088b4cb0896c5360aa4a | [
"MIT"
] | null | null | null | lightlab/equipment/visa_bases/driver_base.py | CharLee674/rvisa_lightlab | b43e36f3436b60c8c5f3088b4cb0896c5360aa4a | [
"MIT"
] | null | null | null | from abc import ABC, abstractmethod
from contextlib import contextmanager
import socket
import time
from lightlab import visalogger as logger
from rvisa.util import from_ascii_block
class InstrumentSessionBase(ABC):
''' Base class for Instrument sessions, to be inherited and specialized
by VISAObject and Prol... | 29.146341 | 110 | 0.594979 | from abc import ABC, abstractmethod
from contextlib import contextmanager
import socket
import time
from lightlab import visalogger as logger
from rvisa.util import from_ascii_block
class InstrumentSessionBase(ABC):
@abstractmethod
def spoll(self):
pass
@abstractmethod
def LLO(self):
... | true | true |
f72ae943e83fcbed48d9e3f084fe924867622c96 | 2,382 | py | Python | simple_ado/user.py | Bhaskers-Blu-Org2/simple_ado | bbfb1cd5d513cce0f606188e803db3dcf667cb75 | [
"MIT"
] | null | null | null | simple_ado/user.py | Bhaskers-Blu-Org2/simple_ado | bbfb1cd5d513cce0f606188e803db3dcf667cb75 | [
"MIT"
] | null | null | null | simple_ado/user.py | Bhaskers-Blu-Org2/simple_ado | bbfb1cd5d513cce0f606188e803db3dcf667cb75 | [
"MIT"
] | 1 | 2020-07-30T13:18:16.000Z | 2020-07-30T13:18:16.000Z | #!/usr/bin/env python3
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
"""ADO user API wrapper."""
import logging
from typing import cast
from simple_ado.base_client import ADOBaseClient
from simple_ado.context import ADOContext
from simple_ado.exceptions import ADOException
from simple_ado... | 35.552239 | 110 | 0.670025 |
import logging
from typing import cast
from simple_ado.base_client import ADOBaseClient
from simple_ado.context import ADOContext
from simple_ado.exceptions import ADOException
from simple_ado.http_client import ADOHTTPClient
from simple_ado.types import TeamFoundationId
class ADOUserClient(ADOBaseClient):
... | true | true |
f72aea0d6cc0cce475a487b99abf5840a183729c | 152 | py | Python | controller/apps.py | skyrred/Gestion | c38c4d1fa229f5b0e0ef2667ff98864a28dc3241 | [
"Apache-2.0"
] | 1 | 2021-11-15T14:55:36.000Z | 2021-11-15T14:55:36.000Z | controller/apps.py | skyrred/Gestion | c38c4d1fa229f5b0e0ef2667ff98864a28dc3241 | [
"Apache-2.0"
] | null | null | null | controller/apps.py | skyrred/Gestion | c38c4d1fa229f5b0e0ef2667ff98864a28dc3241 | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class ControllerConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'controller'
| 21.714286 | 56 | 0.769737 | from django.apps import AppConfig
class ControllerConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'controller'
| true | true |
f72aeafc60f1c50f2b50e3c33dc739dfa7cb4e8a | 1,675 | py | Python | opening2d.py | Nobu575/AppItk | 91de313115b753a6fb1ae67f53d4979580ef768b | [
"MIT"
] | null | null | null | opening2d.py | Nobu575/AppItk | 91de313115b753a6fb1ae67f53d4979580ef768b | [
"MIT"
] | null | null | null | opening2d.py | Nobu575/AppItk | 91de313115b753a6fb1ae67f53d4979580ef768b | [
"MIT"
] | null | null | null | import numpy as np
import itk
import matplotlib.pyplot as plt
# Input file name
input_filename = './jenga_g_150.png'
# Set dimension
Dimension = 2
# Read input image
itk_image = itk.imread(input_filename)
# Setting for input image (Grayscale)
InputPixelType = itk.UC
InputImageType = itk.Image[InputPixelType, Dimens... | 33.5 | 102 | 0.819104 | import numpy as np
import itk
import matplotlib.pyplot as plt
input_filename = './jenga_g_150.png'
Dimension = 2
itk_image = itk.imread(input_filename)
InputPixelType = itk.UC
InputImageType = itk.Image[InputPixelType, Dimension]
reader = itk.ImageFileReader[InputImageType].New()
reader.SetFileName(input_file... | true | true |
f72aed1738f6ccb62f4bf6aeaaf1bcc63b40247b | 2,587 | py | Python | update.py | boost/bucket-antivirus-function | 6eb93406e28f81a4c612f0dec29670451e0c5589 | [
"Apache-2.0"
] | null | null | null | update.py | boost/bucket-antivirus-function | 6eb93406e28f81a4c612f0dec29670451e0c5589 | [
"Apache-2.0"
] | null | null | null | update.py | boost/bucket-antivirus-function | 6eb93406e28f81a4c612f0dec29670451e0c5589 | [
"Apache-2.0"
] | 1 | 2020-07-16T12:47:24.000Z | 2020-07-16T12:47:24.000Z | # -*- coding: utf-8 -*-
# Upside Travel, Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 39.8 | 87 | 0.719366 |
import os
import boto3
import clamav
from common import AV_DEFINITION_PATH
from common import AV_DEFINITION_S3_BUCKET
from common import AV_DEFINITION_S3_PREFIX
from common import CLAMAVLIB_PATH
from common import get_timestamp
import shutil
def lambda_handler(event, context):
s3 = boto3.resource... | true | true |
f72aeddbd79707ad743350eba5e76f34ba47af5c | 15,728 | py | Python | ssd.py | tristanmooo/ssd_keras | e4be1dae086e91a81b020787f94560836379dc68 | [
"MIT"
] | null | null | null | ssd.py | tristanmooo/ssd_keras | e4be1dae086e91a81b020787f94560836379dc68 | [
"MIT"
] | null | null | null | ssd.py | tristanmooo/ssd_keras | e4be1dae086e91a81b020787f94560836379dc68 | [
"MIT"
] | null | null | null | """Keras implementation of SSD."""
import keras.backend as K
from keras.layers import Activation
from keras.layers import AtrousConvolution2D
from keras.layers import Convolution2D
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import GlobalAveragePooling2D
from keras.layers import I... | 51.398693 | 127 | 0.532363 |
import keras.backend as K
from keras.layers import Activation
from keras.layers import AtrousConvolution2D
from keras.layers import Convolution2D
from keras.layers import Dense
from keras.layers import Flatten
from keras.layers import GlobalAveragePooling2D
from keras.layers import Input
from keras.layers import MaxPo... | true | true |
f72aedf20d5a4dd130832d24767e5a8c5c2c559a | 850 | py | Python | test/record/parser/test_response_whois_nic_ve_property_nameservers_missing.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_nic_ve_property_nameservers_missing.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null | test/record/parser/test_response_whois_nic_ve_property_nameservers_missing.py | huyphan/pyyawhois | 77fb2f73a9c67989f1d41d98f37037406a69d136 | [
"MIT"
] | null | null | null |
# This file is autogenerated. Do not edit it manually.
# If you want change the content of this file, edit
#
# spec/fixtures/responses/whois.nic.ve/property_nameservers_missing
#
# and regenerate the tests with the following script
#
# $ scripts/generate_tests.py
#
from nose.tools import *
from dateutil.parser im... | 31.481481 | 94 | 0.711765 |
from nose.tools import *
from dateutil.parser import parse as time_parse
import yawhois
class TestWhoisNicVePropertyNameserversMissing(object):
def setUp(self):
fixture_path = "spec/fixtures/responses/whois.nic.ve/property_nameservers_missing.txt"
host = "whois.nic.ve"
p... | true | true |
f72aee673e41aaa5710037678b883636f5df28d7 | 7,947 | py | Python | src/python/pants/backend/python/lint/pylint/rules.py | danxmoran/pants | 7fafd7d789747c9e6a266847a0ccce92c3fa0754 | [
"Apache-2.0"
] | null | null | null | src/python/pants/backend/python/lint/pylint/rules.py | danxmoran/pants | 7fafd7d789747c9e6a266847a0ccce92c3fa0754 | [
"Apache-2.0"
] | 22 | 2022-01-27T09:59:50.000Z | 2022-03-30T07:06:49.000Z | src/python/pants/backend/python/lint/pylint/rules.py | danxmoran/pants | 7fafd7d789747c9e6a266847a0ccce92c3fa0754 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from dataclasses import dataclass
from typing import Tuple
from pants.backend.python.lint.pylint.subsystem import (
Pylint,
PylintFieldSet,
... | 35.959276 | 100 | 0.707059 |
from __future__ import annotations
from dataclasses import dataclass
from typing import Tuple
from pants.backend.python.lint.pylint.subsystem import (
Pylint,
PylintFieldSet,
PylintFirstPartyPlugins,
)
from pants.backend.python.subsystems.setup import PythonSetup
from pants.backend.python.util_rules im... | true | true |
f72aef2c46434bd7fee98942b7dd5f4091b26225 | 9,102 | py | Python | homeassistant/components/philips_js/media_player.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 6 | 2020-07-18T16:33:25.000Z | 2021-09-26T09:52:04.000Z | homeassistant/components/philips_js/media_player.py | domwillcode/home-assistant | f170c80bea70c939c098b5c88320a1c789858958 | [
"Apache-2.0"
] | 47 | 2020-07-23T07:14:33.000Z | 2022-03-31T06:01:46.000Z | homeassistant/components/philips_js/media_player.py | klauern/home-assistant-core | c18ba6aec0627e6afb6442c678edb5ff2bb17db6 | [
"Apache-2.0"
] | 5 | 2020-03-29T00:29:13.000Z | 2021-09-06T20:58:40.000Z | """Media Player component to integrate TVs exposing the Joint Space API."""
from datetime import timedelta
import logging
from haphilipsjs import PhilipsTV
import voluptuous as vol
from homeassistant.components.media_player import PLATFORM_SCHEMA, MediaPlayerEntity
from homeassistant.components.media_player.const imp... | 30.854237 | 88 | 0.64777 | from datetime import timedelta
import logging
from haphilipsjs import PhilipsTV
import voluptuous as vol
from homeassistant.components.media_player import PLATFORM_SCHEMA, MediaPlayerEntity
from homeassistant.components.media_player.const import (
MEDIA_TYPE_CHANNEL,
SUPPORT_NEXT_TRACK,
SUPPORT_PLAY_MEDIA... | true | true |
f72aef7afd8a21811ad53f8b289714ccd5098693 | 8,333 | py | Python | genie/assay.py | veo-ibd/Genie | 735e3aa0dc71aab0c404fd0cb3a34c8e1d9784c2 | [
"MIT"
] | null | null | null | genie/assay.py | veo-ibd/Genie | 735e3aa0dc71aab0c404fd0cb3a34c8e1d9784c2 | [
"MIT"
] | null | null | null | genie/assay.py | veo-ibd/Genie | 735e3aa0dc71aab0c404fd0cb3a34c8e1d9784c2 | [
"MIT"
] | 1 | 2022-01-20T16:33:19.000Z | 2022-01-20T16:33:19.000Z | import os
import logging
import subprocess
import yaml
import pandas as pd
from .example_filetype_format import FileTypeFormat
from . import process_functions
logger = logging.getLogger(__name__)
class Assayinfo(FileTypeFormat):
'''
Assay information file type
'''
_fileType = "assayinfo"
_proc... | 36.388646 | 89 | 0.582503 | import os
import logging
import subprocess
import yaml
import pandas as pd
from .example_filetype_format import FileTypeFormat
from . import process_functions
logger = logging.getLogger(__name__)
class Assayinfo(FileTypeFormat):
_fileType = "assayinfo"
_process_kwargs = ["newPath", "databaseSynId"]
d... | true | true |
f72af06f509cb3b16be313e070fe087431a96b9c | 1,550 | py | Python | dlfairness/other/get_weight/alm.py | lin-tan/fairness-variance | 7f6aee23160707ffe78f429e5d960022ea1c9fe4 | [
"BSD-3-Clause"
] | null | null | null | dlfairness/other/get_weight/alm.py | lin-tan/fairness-variance | 7f6aee23160707ffe78f429e5d960022ea1c9fe4 | [
"BSD-3-Clause"
] | null | null | null | dlfairness/other/get_weight/alm.py | lin-tan/fairness-variance | 7f6aee23160707ffe78f429e5d960022ea1c9fe4 | [
"BSD-3-Clause"
] | null | null | null | import argparse
import pandas as pd
import json
import pickle
import numpy as np
from pathlib import Path
from scipy.special import softmax
import shutil
parser = argparse.ArgumentParser()
parser.add_argument('--config', type=str)
parser.add_argument('--raw_result_dir', type=str)
parser.add_argument('--output_dir', ty... | 35.227273 | 124 | 0.570323 | import argparse
import pandas as pd
import json
import pickle
import numpy as np
from pathlib import Path
from scipy.special import softmax
import shutil
parser = argparse.ArgumentParser()
parser.add_argument('--config', type=str)
parser.add_argument('--raw_result_dir', type=str)
parser.add_argument('--output_dir', ty... | true | true |
f72af113f201219d494c2ae51b9d0c0fae085aeb | 925 | py | Python | Codefights/arcade/intro/level-7/33.stringsRearrangement/Python/solution1.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | 7 | 2017-09-20T16:40:39.000Z | 2021-08-31T18:15:08.000Z | Codefights/arcade/intro/level-7/33.stringsRearrangement/Python/solution1.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | Codefights/arcade/intro/level-7/33.stringsRearrangement/Python/solution1.py | RevansChen/online-judge | ad1b07fee7bd3c49418becccda904e17505f3018 | [
"MIT"
] | null | null | null | # Python3
def diffOne(a, b):
count = 0
for i in range(len(a)):
if a[i] != b[i]:
count += 1
if count == 2:
return False
return bool(count)
def func(inputArray, curr):
if len(inputArray) == 1:
return diffOne(inputArray[0], curr)
for i in range(len(inpu... | 30.833333 | 73 | 0.572973 |
def diffOne(a, b):
count = 0
for i in range(len(a)):
if a[i] != b[i]:
count += 1
if count == 2:
return False
return bool(count)
def func(inputArray, curr):
if len(inputArray) == 1:
return diffOne(inputArray[0], curr)
for i in range(len(inputArray)):... | true | true |
f72af114783cb0a76af49c20e78ca72551409642 | 1,378 | py | Python | setup.py | jamesgregson/easy_image_io | 4b5af29f3ccc37e4b10fbdc1e18d508ed04b882d | [
"MIT"
] | 1 | 2017-08-17T11:59:45.000Z | 2017-08-17T11:59:45.000Z | setup.py | jamesgregson/easy_image_io | 4b5af29f3ccc37e4b10fbdc1e18d508ed04b882d | [
"MIT"
] | null | null | null | setup.py | jamesgregson/easy_image_io | 4b5af29f3ccc37e4b10fbdc1e18d508ed04b882d | [
"MIT"
] | null | null | null | from setuptools import setup, Extension
import numpy
import os
import config
def find(name, path):
for root, dirs, files in os.walk(path):
if name in files:
return os.path.join(root, name)
return '';
print('locating directories...')
defines = [ ('MAJOR_VERSION',0),('MINOR_VERSION',1) ... | 30.622222 | 74 | 0.650218 | from setuptools import setup, Extension
import numpy
import os
import config
def find(name, path):
for root, dirs, files in os.walk(path):
if name in files:
return os.path.join(root, name)
return '';
print('locating directories...')
defines = [ ('MAJOR_VERSION',0),('MINOR_VERSION',1) ... | true | true |
f72af1e60284b4758cddcb59383f494df80a1a1a | 148,700 | py | Python | all/emojitations/data/hy.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 6 | 2016-08-31T14:42:36.000Z | 2021-09-05T23:55:47.000Z | all/emojitations/data/hy.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 1 | 2016-10-20T10:52:06.000Z | 2016-10-20T18:47:19.000Z | all/emojitations/data/hy.py | idleberg/sublime-emojitations | b2b4e8ce2c33ed0f6b8d6db6085e21da4e8d895b | [
"MIT"
] | 5 | 2016-08-31T14:48:11.000Z | 2021-09-05T23:55:33.000Z | from emojitations.emojitypes import EmojiAnnotations
emoji = [
EmojiAnnotations(emoji='😀', codepoints=(128512,), name='ծիծաղող դեմք', slug='ծիծաղող_դեմք', annotations=frozenset({'դեմք', 'քմծիծաղել'})),
EmojiAnnotations(emoji='😁', codepoints=(128513,), name='ծիծաղող դեմք ժպտացող աչքերով', slug='ծիծաղող_դեմք_ժպտացո... | 154.573805 | 252 | 0.714472 | from emojitations.emojitypes import EmojiAnnotations
emoji = [
EmojiAnnotations(emoji='😀', codepoints=(128512,), name='ծիծաղող դեմք', slug='ծիծաղող_դեմք', annotations=frozenset({'դեմք', 'քմծիծաղել'})),
EmojiAnnotations(emoji='😁', codepoints=(128513,), name='ծիծաղող դեմք ժպտացող աչքերով', slug='ծիծաղող_դեմք_ժպտացո... | true | true |
f72af208934e1a6893d8de9bece97fef4e04f823 | 68,824 | py | Python | spec/API_specification/array_api/elementwise_functions.py | oleksandr-pavlyk/array-api | 34aa9251bec8e53d8e7f4330f0b2b6221b3f6dcb | [
"MIT"
] | null | null | null | spec/API_specification/array_api/elementwise_functions.py | oleksandr-pavlyk/array-api | 34aa9251bec8e53d8e7f4330f0b2b6221b3f6dcb | [
"MIT"
] | null | null | null | spec/API_specification/array_api/elementwise_functions.py | oleksandr-pavlyk/array-api | 34aa9251bec8e53d8e7f4330f0b2b6221b3f6dcb | [
"MIT"
] | null | null | null | from ._types import array
def abs(x: array, /) -> array:
"""
Calculates the absolute value for each element ``x_i`` of the input array ``x`` (i.e., the element-wise result has the same magnitude as the respective element in ``x`` but has positive sign).
.. note::
For signed integer data types, the ... | 49.407035 | 614 | 0.621527 | from ._types import array
def abs(x: array, /) -> array:
def acos(x: array, /) -> array:
def acosh(x: array, /) -> array:
def add(x1: array, x2: array, /) -> array:
def asin(x: array, /) -> array:
def asinh(x: array, /) -> array:
def atan(x: array, /) -> array:
def atan2(x1: array, x2: array, /) -> array:
def ... | true | true |
f72af3b77a6c41b7fa62f8cf773835380670f57a | 130 | py | Python | cwlkernel/__main__.py | codacy-badger/CWLJNIKernel | 89c830d2ab300f3775e4e49cfc2d0fe894170f5e | [
"Apache-2.0"
] | null | null | null | cwlkernel/__main__.py | codacy-badger/CWLJNIKernel | 89c830d2ab300f3775e4e49cfc2d0fe894170f5e | [
"Apache-2.0"
] | null | null | null | cwlkernel/__main__.py | codacy-badger/CWLJNIKernel | 89c830d2ab300f3775e4e49cfc2d0fe894170f5e | [
"Apache-2.0"
] | null | null | null | from ipykernel.kernelapp import IPKernelApp
from .CWLKernel import CWLKernel
IPKernelApp.launch_instance(kernel_class=CWLKernel) | 26 | 51 | 0.876923 | from ipykernel.kernelapp import IPKernelApp
from .CWLKernel import CWLKernel
IPKernelApp.launch_instance(kernel_class=CWLKernel) | true | true |
f72af4bbb77cd40f08c0addf4a50faf422264aa8 | 7,875 | py | Python | TorchRay/torchray/benchmark/evaluate_imagenet_gradcam_energy_inside_bbox.py | UMBCvision/Consistent-Explanations-by-Contrastive-Learning | 589ff89cbcc96a1d8bd8d5b7bd7a785448ed2de3 | [
"MIT"
] | null | null | null | TorchRay/torchray/benchmark/evaluate_imagenet_gradcam_energy_inside_bbox.py | UMBCvision/Consistent-Explanations-by-Contrastive-Learning | 589ff89cbcc96a1d8bd8d5b7bd7a785448ed2de3 | [
"MIT"
] | null | null | null | TorchRay/torchray/benchmark/evaluate_imagenet_gradcam_energy_inside_bbox.py | UMBCvision/Consistent-Explanations-by-Contrastive-Learning | 589ff89cbcc96a1d8bd8d5b7bd7a785448ed2de3 | [
"MIT"
] | null | null | null | import argparse
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data.distributed
import torchvision.transforms as transforms
import resnet_multigpu_cgc as resnet
import cv2
import datasets as pointing_d... | 36.971831 | 112 | 0.616381 | import argparse
import time
import numpy as np
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data.distributed
import torchvision.transforms as transforms
import resnet_multigpu_cgc as resnet
import cv2
import datasets as pointing_d... | true | true |
f72af5153bd9f88566e3d6863c7c6bad63faba5c | 558 | py | Python | var_global_local.py | Spy142/python_lesson_4 | 1539576301c2bf61be803be7846c9278f350a0f3 | [
"MIT"
] | null | null | null | var_global_local.py | Spy142/python_lesson_4 | 1539576301c2bf61be803be7846c9278f350a0f3 | [
"MIT"
] | null | null | null | var_global_local.py | Spy142/python_lesson_4 | 1539576301c2bf61be803be7846c9278f350a0f3 | [
"MIT"
] | 1 | 2020-09-09T09:27:06.000Z | 2020-09-09T09:27:06.000Z | global_var = 10
def function_example(local_var_1, local_var_2):
print(local_var_1, local_var_2, global_var)
function_example(11, 12)
def function_example_1(local_var_1, local_var_2):
global global_var
global_var = 20
print(local_var_1, local_var_2, global_var, id(global_var))
function_example_1(11... | 16.909091 | 63 | 0.702509 | global_var = 10
def function_example(local_var_1, local_var_2):
print(local_var_1, local_var_2, global_var)
function_example(11, 12)
def function_example_1(local_var_1, local_var_2):
global global_var
global_var = 20
print(local_var_1, local_var_2, global_var, id(global_var))
function_example_1(11... | true | true |
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