xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

0bfee60d077f03c2727d3ec5a090895732a054ec

26

py

Python

build/lib/kappalib/_version.py

Cristianobam/kappalib

30941b456374787975ea049c42a89edfb6c91a76

[ "MIT" ]

null

build/lib/kappalib/_version.py

Cristianobam/kappalib

30941b456374787975ea049c42a89edfb6c91a76

[ "MIT" ]

null

build/lib/kappalib/_version.py

Cristianobam/kappalib

30941b456374787975ea049c42a89edfb6c91a76

[ "MIT" ]

null

__version__ = '0.0.1.rc17'

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0

1

0

null

0

5

040d10b39489d0554d5315b59034a7a4dbfc3908

78

py

Python

tests/test_foundation.py

benranderson/uhb

a0169cfae587384e96c628b82e02667537ad00b6

[ "MIT" ]

null

tests/test_foundation.py

benranderson/uhb

a0169cfae587384e96c628b82e02667537ad00b6

[ "MIT" ]

null

tests/test_foundation.py

benranderson/uhb

a0169cfae587384e96c628b82e02667537ad00b6

[ "MIT" ]

null

"""Tests for foundation module.""" import pytest from uhb import foundation

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1

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1

0

1

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5

0414b72661d94bfe6e90b3d103e399595251ee90

129

py

Python

api/resources/index.py

rarygc/weather-buddy-api

45d836e2e4437356256545bad84bd5fcf7a8c1f9

[ "MIT" ]

null

api/resources/index.py

rarygc/weather-buddy-api

45d836e2e4437356256545bad84bd5fcf7a8c1f9

[ "MIT" ]

7

2021-04-08T17:08:02.000Z

2021-04-20T11:41:49.000Z

api/resources/index.py

rarygc/weather-buddy-api

45d836e2e4437356256545bad84bd5fcf7a8c1f9

[ "MIT" ]

null

from flask_restful import Resource class IndexView(Resource): def get(self): return {'greeting': 'Hello, DevGrid!'}

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5

045c603c67bde405c9a0efd2333003d83bbd2924

5,406

py

Python

test_board.py

justinchen673/Catan-AI

e4963f4d0810a57f761ea4e0245bc4e52977a333

[ "MIT" ]

8

2019-01-15T02:39:18.000Z

2020-09-23T13:56:49.000Z

test_board.py

justinchen673/Catan-AI

e4963f4d0810a57f761ea4e0245bc4e52977a333

[ "MIT" ]

1

2019-03-22T22:57:14.000Z

2019-03-23T00:32:02.000Z

test_board.py

justinchen673/Catan-AI

e4963f4d0810a57f761ea4e0245bc4e52977a333

[ "MIT" ]

2

2019-01-15T02:43:11.000Z

2019-03-04T16:04:30.000Z

import unittest from player import * from board import * from setup import * class Test_board(unittest.TestCase): def setUp(self): print('setUp') self.plyr1 = Player("A") self.plyr2 = Player("B") self.playerList = [] self.playerList.append(self.plyr1) self.playerList.append(self.plyr2) def tearDown(self): print('tearDown\n') def test_dfs(self): board1 = createBoard() self.plyr1.longestRoadLength = 0 self.plyr2.longestRoadLength = 0 self.plyr1.longestRoad = False self.plyr2.longestRoad = False print('test_dfs_linear') board1.placeRoad(2,6,self.plyr1,self.playerList) board1.placeRoad(6,10,self.plyr1,self.playerList) board1.placeRoad(10,15,self.plyr1,self.playerList) board1.placeRoad(15,20,self.plyr1,self.playerList) board1.placeRoad(20,26,self.plyr1,self.playerList) self.assertTrue(self.plyr1.longestRoad) print('playerB overtakes playerA road') board1.placeRoad(26,32,self.plyr2,self.playerList) board1.placeRoad(32,37,self.plyr2,self.playerList) board1.placeRoad(37,42,self.plyr2,self.playerList) board1.placeRoad(42,46,self.plyr2,self.playerList) board1.placeRoad(46,50,self.plyr2,self.playerList) board1.placeRoad(50,53,self.plyr2,self.playerList) self.assertTrue(self.plyr2.longestRoad) self.assertFalse(self.plyr1.longestRoad) board2 = createBoard() self.plyr1.longestRoadLength = 0 self.plyr2.longestRoadLength = 0 self.plyr1.longestRoad = False self.plyr2.longestRoad = False print('test_dfs_circular') board2.placeRoad(2,6,self.plyr1,self.playerList) board2.placeRoad(6,10,self.plyr1,self.playerList) board2.placeRoad(10,14,self.plyr1,self.playerList) board2.placeRoad(14,9,self.plyr1,self.playerList) board2.placeRoad(9,5,self.plyr1,self.playerList) board2.placeRoad(5,2,self.plyr1,self.playerList) self.assertTrue(self.plyr1.longestRoad) print('playerB overtakes playerA road') board2.placeRoad(26,32,self.plyr2,self.playerList) board2.placeRoad(32,37,self.plyr2,self.playerList) board2.placeRoad(37,42,self.plyr2,self.playerList) board2.placeRoad(42,46,self.plyr2,self.playerList) board2.placeRoad(46,50,self.plyr2,self.playerList) board2.placeRoad(50,53,self.plyr2,self.playerList) board2.placeRoad(53,49,self.plyr2,self.playerList) self.assertTrue(self.plyr2.longestRoad) self.assertFalse(self.plyr1.longestRoad) board3 = createBoard() self.plyr1.longestRoadLength = 0 self.plyr2.longestRoadLength = 0 self.plyr1.longestRoad = False self.plyr2.longestRoad = False print('test_dfs_linear') board3.placeRoad(2,6,self.plyr1,self.playerList) board3.placeRoad(6,10,self.plyr1,self.playerList) board3.placeRoad(10,15,self.plyr1,self.playerList) board3.placeRoad(15,20,self.plyr1,self.playerList) board3.placeRoad(20,26,self.plyr1,self.playerList) self.assertTrue(self.plyr1.longestRoad) print('playerB matches playerA road length') board3.placeRoad(26,32,self.plyr2,self.playerList) board3.placeRoad(32,37,self.plyr2,self.playerList) board3.placeRoad(37,42,self.plyr2,self.playerList) board3.placeRoad(42,46,self.plyr2,self.playerList) board3.placeRoad(46,50,self.plyr2,self.playerList) self.assertTrue(self.plyr1.longestRoad) self.assertFalse(self.plyr2.longestRoad) board4 = createBoard() self.plyr1.longestRoadLength = 0 self.plyr2.longestRoadLength = 0 self.plyr1.longestRoad = False self.plyr2.longestRoad = False print('test_dfs_branching') board4.placeRoad(9,5,self.plyr1,self.playerList) board4.placeRoad(2,5,self.plyr1,self.playerList) board4.placeRoad(2,6,self.plyr1,self.playerList) board4.placeRoad(6,10,self.plyr1,self.playerList) board4.placeRoad(10,15,self.plyr1,self.playerList) board4.placeRoad(15,20,self.plyr1,self.playerList) board4.placeRoad(20,26,self.plyr1,self.playerList) board4.placeRoad(10,14,self.plyr1,self.playerList) board4.placeRoad(14,19,self.plyr1,self.playerList) board4.placeRoad(19,24,self.plyr1,self.playerList) self.assertEqual(self.plyr1.longestRoadLength, 7) self.assertTrue(self.plyr1.longestRoad) print('playerB matches playerA road length') board4.placeRoad(26,32,self.plyr2,self.playerList) board4.placeRoad(32,37,self.plyr2,self.playerList) board4.placeRoad(37,42,self.plyr2,self.playerList) board4.placeRoad(42,46,self.plyr2,self.playerList) board4.placeRoad(46,50,self.plyr2,self.playerList) board4.placeRoad(50,53,self.plyr2,self.playerList) board4.placeRoad(53,49,self.plyr2,self.playerList) board4.placeRoad(49,45,self.plyr2,self.playerList) self.assertTrue(self.plyr2.longestRoad) self.assertFalse(self.plyr1.longestRoad) board5 = createBoard() self.plyr1.longestRoadLength = 0 self.plyr2.longestRoadLength = 0 self.plyr1.longestRoad = False self.plyr2.longestRoad = False print('test_dfs_circular') board5.placeRoad(2,6,self.plyr1,self.playerList) board5.placeRoad(6,10,self.plyr1,self.playerList) board5.placeRoad(10,14,self.plyr1,self.playerList) board5.placeRoad(14,9,self.plyr1,self.playerList) board5.placeRoad(9,5,self.plyr1,self.playerList) board5.placeRoad(5,2,self.plyr1,self.playerList) board5.placeRoad(9,13,self.plyr1,self.playerList) board5.placeRoad(10,15,self.plyr1,self.playerList) board5.placeRoad(15,20,self.plyr1,self.playerList) self.assertTrue(self.plyr1.longestRoad) self.assertEqual(self.plyr1.longestRoadLength, 8) if __name__ == '__main__': unittest.main()

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f098ded8ab6385df36033970aec657493c11d137

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py

Python

sdk/python/pulumi_aws/ebs/__init__.py

pulumi-bot/pulumi-aws

756c60135851e015232043c8206567101b8ebd85

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/ebs/__init__.py

pulumi-bot/pulumi-aws

756c60135851e015232043c8206567101b8ebd85

[ "ECL-2.0", "Apache-2.0" ]

null

sdk/python/pulumi_aws/ebs/__init__.py

pulumi-bot/pulumi-aws

756c60135851e015232043c8206567101b8ebd85

[ "ECL-2.0", "Apache-2.0" ]

null

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** # Export this package's modules as members: from snapshot import * from volume import * from get_snapshot import * from get_snapshot_ids import * from get_volume import *

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py

Python

intervals/__init__.py

marcodeangelis/intervals

b4ab675e7b01fbda25b990b44553c3b5b922ae1d

[ "MIT" ]

6

2022-02-21T15:38:41.000Z

2022-03-08T13:55:02.000Z

intervals/__init__.py

marcodeangelis/intervals

b4ab675e7b01fbda25b990b44553c3b5b922ae1d

[ "MIT" ]

4

2022-02-21T15:16:39.000Z

2022-02-21T18:00:44.000Z

intervals/__init__.py

marcodeangelis/intervals

b4ab675e7b01fbda25b990b44553c3b5b922ae1d

[ "MIT" ]

null

from .number import Interval from .methods import (lo,hi,mid,rad,width,straddle_zero,intervalise) from tests.interval_generator import pick_endpoints_at_random_uniform

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py

Python

scripts/hello_ros.py

mt-krainski/ros_basics

23419e2facbb9decaefd57c3d260502e19e09fc5

[ "Apache-2.0" ]

null

scripts/hello_ros.py

mt-krainski/ros_basics

23419e2facbb9decaefd57c3d260502e19e09fc5

[ "Apache-2.0" ]

null

scripts/hello_ros.py

mt-krainski/ros_basics

23419e2facbb9decaefd57c3d260502e19e09fc5

[ "Apache-2.0" ]

null

#!/usr/bin/python import rospy rospy.init_node("hello_ros") rospy.loginfo("Hello ROS!") rospy.spin()

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f0a467753fd0d7329ac162a6e893e3291a14180c

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py

Python

pygritia/rbinary.py

gwangyi/pygritia

de187e802603e1041b435f508e185ca7eeb073c6

[ "MIT" ]

null

pygritia/rbinary.py

gwangyi/pygritia

de187e802603e1041b435f508e185ca7eeb073c6

[ "MIT" ]

null

pygritia/rbinary.py

gwangyi/pygritia

de187e802603e1041b435f508e185ca7eeb073c6

[ "MIT" ]

null

""" Provides :py:class:`ReversedBinaryMixin` mixin class It provides reversed binary operator support to the :py:class:`Lazy` class """ from typing import Any from .core import Lazy, LazyMixin from .ops import lazy_roperator class ReversedBinaryMixin(LazyMixin): """ Reversed operator support It contains numeric operators(``__radd__``, ``__rsub__``, ``__rmul__``, ``__rmatmul__``, ``__rdiv__``, ``__rtruediv__``, ``__rfloordiv__``, ``__rmod__``, ``__rdivmod__``, ``__rpow__``) and bitwise operators(``__rlshift__``, ``__rrshift__``, ``__rand__``, ``__ror__``, ``__rxor__``) """ @lazy_roperator def __radd__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rsub__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rmul__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rmatmul__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rdiv__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rtruediv__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rfloordiv__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rmod__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rdivmod__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rpow__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rlshift__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rrshift__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rand__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __rxor__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover @lazy_roperator def __ror__(self: Lazy, other: Any) -> Lazy: pass # pragma: no cover

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py

Python

regularize/exceptions.py

georgepsarakis/regularize

25e7e9d2ac532c99ce8faa5f63f757c6823c7c72

[ "MIT" ]

14

2021-03-29T18:44:58.000Z

2021-04-05T07:25:14.000Z

regularize/exceptions.py

georgepsarakis/regularize

25e7e9d2ac532c99ce8faa5f63f757c6823c7c72

[ "MIT" ]

1

2021-03-26T20:16:01.000Z

2021-03-26T20:16:36.000Z

regularize/exceptions.py

georgepsarakis/regularize

25e7e9d2ac532c99ce8faa5f63f757c6823c7c72

[ "MIT" ]

null

class SampleNotMatchedError(Exception): pass class InvalidRangeError(Exception): pass

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py

Python

lang/py/cookbook/v2/source/cb2_12_1_exm_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_12_1_exm_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

lang/py/cookbook/v2/source/cb2_12_1_exm_2.py

ch1huizong/learning

632267634a9fd84a5f5116de09ff1e2681a6cc85

[ "MIT" ]

null

import xml.parsers.expat def parsefile(file): parser = xml.parsers.expat.ParserCreate() parser.ParseFile(open(file, "r"))

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py

Python

aiogram_dialog_extras/exceptions.py

SamWarden/aiogram_dialog_extras

dede383df2b4f34d77fe40459333fdb4e6b8727b

[ "MIT" ]

1

2022-02-21T19:28:48.000Z

aiogram_dialog_extras/exceptions.py

SamWarden/aiogram_dialog_extras

dede383df2b4f34d77fe40459333fdb4e6b8727b

[ "MIT" ]

null

aiogram_dialog_extras/exceptions.py

SamWarden/aiogram_dialog_extras

dede383df2b4f34d77fe40459333fdb4e6b8727b

[ "MIT" ]

null

class ContextNotFound(RuntimeError): pass

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199

py

Python

kata/disemvowel_trolls.py

gualtierotesta/PlayWithPython

154853fb6ec6ab96a1f85355cca2b140de1886e8

[ "Apache-2.0" ]

null

kata/disemvowel_trolls.py

gualtierotesta/PlayWithPython

154853fb6ec6ab96a1f85355cca2b140de1886e8

[ "Apache-2.0" ]

null

kata/disemvowel_trolls.py

gualtierotesta/PlayWithPython

154853fb6ec6ab96a1f85355cca2b140de1886e8

[ "Apache-2.0" ]

null

# https://www.codewars.com/kata/52fba66badcd10859f00097e def disemvowel(str): return "".join(filter(lambda c: c not in "aeiouAEIOU", str)) print(disemvowel("This website is for losers LOL!"))

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5

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194

py

Python

estate_app/estate_app/doctype/api.py

khaledasem/estate_app-ver4

6c4097e7627f8bbe87916cd5cdcae8f9c692954c

[ "MIT" ]

null

estate_app/estate_app/doctype/api.py

khaledasem/estate_app-ver4

6c4097e7627f8bbe87916cd5cdcae8f9c692954c

[ "MIT" ]

null

estate_app/estate_app/doctype/api.py

khaledasem/estate_app-ver4

6c4097e7627f8bbe87916cd5cdcae8f9c692954c

[ "MIT" ]

null

import frappe def get_data_from_db(element_var, table_name_var, conditions_var): return frappe.db.sql(f"""SELECT {element_var} FROM {table_name_var} WHERE {conditions_var};""", as_dict = True)

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9be550101e8aa7332e18ba15c8e5423fdddffada

175

py

Python

libp2p/network/connection/raw_connection_interface.py

phayaran/py-libp2p

f2bfc68f6dd99cf2c48dfd397eafb2bef57668f6

[ "Apache-2.0", "MIT" ]

null

libp2p/network/connection/raw_connection_interface.py

phayaran/py-libp2p

f2bfc68f6dd99cf2c48dfd397eafb2bef57668f6

[ "Apache-2.0", "MIT" ]

null

libp2p/network/connection/raw_connection_interface.py

phayaran/py-libp2p

f2bfc68f6dd99cf2c48dfd397eafb2bef57668f6

[ "Apache-2.0", "MIT" ]

null

from libp2p.io.abc import ReadWriteCloser class IRawConnection(ReadWriteCloser): """ A Raw Connection provides a Reader and a Writer """ is_initiator: bool

17.5

51

0.714286

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1

0

1

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5

9be790b694c77c806ac8e51b48480eec2177f635

59

py

Python

python/reverse-string/reverse_string.py

rootulp/exercism

312a053ad1d375752acf0fce062ee7b9c643a149

[ "MIT" ]

41

2015-02-09T18:08:45.000Z

2022-03-06T15:23:32.000Z

python/reverse-string/reverse_string.py

DucChuyenSoftwareEngineer/exercism

fb7820a1ba162b888a39f1b86cbe5d3ca3b15d4f

[ "MIT" ]

21

2019-12-28T17:47:06.000Z

2021-02-27T19:43:00.000Z

python/reverse-string/reverse_string.py

DucChuyenSoftwareEngineer/exercism

fb7820a1ba162b888a39f1b86cbe5d3ca3b15d4f

[ "MIT" ]

18

2016-04-29T14:35:12.000Z

2021-06-23T07:32:29.000Z

def reverse(input=''): return ''.join(reversed(input))

19.666667

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0

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59

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null

0

1

0

1

0

5

5029e681fe54f0e8c8dd2316a06a23c7bcb471ba

137

py

Python

01-byoc/code/losses.py

timchiu9781/Tomofun

3f7abcb7fc1cc8200ec3fdff62bd51fbaada4126

[ "MIT-0" ]

27

2021-06-20T01:40:31.000Z

2022-02-17T12:23:41.000Z

01-byoc/code/losses.py

timchiu9781/Tomofun

3f7abcb7fc1cc8200ec3fdff62bd51fbaada4126

[ "MIT-0" ]

2

2021-07-14T06:26:37.000Z

2022-03-12T00:58:44.000Z

01-byoc/code/losses.py

timchiu9781/Tomofun

3f7abcb7fc1cc8200ec3fdff62bd51fbaada4126

[ "MIT-0" ]

7

2021-07-03T13:14:28.000Z

2021-07-29T15:23:59.000Z

import torch.nn as nn def CrossEntropyLoss(output, target): criterion = nn.CrossEntropyLoss() return criterion(output, target)

19.571429

37

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16

137

6.375

0.625

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0

0.167883

137

6

38

22.833333

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0

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null

0

1

0

1

0

5

5040fb49247ae827f97e8c2355d3e53b6d33491f

5,287

py

Python

ketiga.py

ichsanhizmanhardy/BelajarGIS

9672a3fac5bb00fa3e551aa0afb432cdf8c0e6ed

[ "MIT" ]

null

ketiga.py

ichsanhizmanhardy/BelajarGIS

9672a3fac5bb00fa3e551aa0afb432cdf8c0e6ed

[ "MIT" ]

null

ketiga.py

ichsanhizmanhardy/BelajarGIS

9672a3fac5bb00fa3e551aa0afb432cdf8c0e6ed

[ "MIT" ]

null

import shapefile class ketiga: def __init__(self): self.ketiga = shapefile.Writer('ketiga', shapeType=shapefile.POLYGON) self.ketiga.shapeType self.ketiga.field('nama_ruangan', 'C') #-------------------- KODING ------------------# # Ilham Muhammad Ariq 1174087 def tanggaD2(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[-16, 20], [-19, 20], [-19, 27], [-16, 27], [-16, 20]]]) def r301(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[-12.4, 20], [-16, 20], [-16, 24], [-12.4, 24], [-12.4, 20]]]) # Alvan Alvanzah 1174077 def r302(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[-8.8, 20], [-12.4, 20], [-12.4, 24], [-8.8, 24], [-8.8, 20]]]) # Advent Nopele Sihite 1184089 def r304(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[-1.6, 20], [-5.2, 20], [-5.2, 24], [-1.6, 24], [-1.6, 20]]]) # Difa def r303(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[-5.2, 20], [-8.8, 20], [-8.8, 24], [-5.2, 24], [-5.2, 20]]]) # Muhammad Reza Syachrani 1174084 def r307(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[9.2, 20], [5.6, 20], [5.6, 24], [9.2, 24], [9.2, 20]]]) def r308(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[12.8, 20], [9.2, 20], [9.2, 24], [12.8, 24], [12.8, 20]]]) # Kaka Kamaludin 1174067 def r305(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[2, 20], [-1.6, 20], [-1.6, 24], [2, 24], [2, 20]]]) def r306(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[5.6, 20], [2, 20], [2, 24], [5.6, 24], [5.6, 20]]]) # Arrizal Furqona Gifary 1174070 def r309(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[16.4, 20], [12.8, 20], [12.8, 24], [16.4, 24], [16.4, 20]]]) # Fanny Shafira 1174069 def r310(self, nama): self.ketiga.record(nama) self.ketiga.poly( [[[20, 20], [16.4, 20], [16.4, 24], [20, 24], [20, 20]]]) # Chandra Kirana Poetra 1174079 def rwccewek2(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[22, 20], [20, 20], [20, 24], [22, 24], [22, 20]]]) def rwccewek3(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[24, 20], [22, 20], [22, 24], [24, 24], [24, 20]]]) # Mochamad Arifqi Ramadhan 1174074 def tanggaB2(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[27, 20], [24, 20], [24, 27], [27, 27], [27, 20]]]) # Handi Handi Hermawan 1174080 def r311(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[16, 12], [16, 18], [22, 18], [22, 12], [16, 12]]]) # Bakti Qilan Mufid 1174083 def r312(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[16, 6], [16, 12], [22, 12], [22, 6], [16, 6]]]) def tanggaB1(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[27, -3], [24, -3], [24, 4], [27, 4], [27, -3]]]) #Ainul Filiani 1174073 def rwccewek1(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[24, 0], [22, 0], [22, 4], [24, 4], [24, 0]]]) # Aulyardha Anindita 1174054 def rwccowok(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[22, 0], [20, 0], [20, 4], [22, 4], [22, 0]]]) # Nurul Izza Hamka 1174062 def rteknisi(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[20, 0], [14, 0], [14, 4], [20, 4], [20, 0]]]) #Tia Nur Candida 1174086 def r314(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[14, 0], [8, 0], [8, 4], [14, 4], [14, 0]]]) # D.Irga B. Naufal Fakhri 1174066 def r315(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[8, 0], [2, 0], [2, 4], [8, 4], [8, 0]]]) def r316(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[2, 0], [-4, 0], [-4, 4], [2, 4], [2, 0]]]) # Muhammad Abdul Gani Wijaya 1174071 def r319(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[-8, 6], [-13, 6], [-13, 10], [-8, 10], [-8, 6]]]) def r320(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[-8, 10], [-13, 10], [-13, 14], [-8, 14], [-8, 10]]]) #Alfadian Owen 1174091 def r321(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[-8, 14], [-13, 14], [-13, 18], [-8, 18], [-8, 14]]]) def center(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[12, 7], [12, 17], [-4, 17], [-4, 7], [12, 7]]]) #Dini Permata Putri 1174053 def r317(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[-4, 0], [-10, 0], [-10, 4], [-4, 4], [-4, 0]]]) def r318(self, nama): self.ketiga.record(nama) self.ketiga.poly([[[-10, 0], [-16, 0], [-16, 4], [-10, 4], [-10, 0]]]) #-------------------- BATAS END KODING ------------------# def close(self): self.ketiga.close()

32.042424

80

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3.439894

0.187583

0.238095

0.311828

0.200461

0.482719

0.402074

0

0.183822

0.270475

5,287

164

81

32.237805

0.491314

0.117836

0

0.365385

0

0.004095

0

1

0.298077

false

0

0.009615

0

0.317308

0

null

1

0

1

0

null

0

1

0

5

acafeaf4a7375019a15b09a6c59c9fea7111de4b

6,109

py

Python

utils/vae.py

lim0606/pytorch-generative-multisensory-network

646404db3f6fdad0c6663b861be747c1032ec291

[ "MIT" ]

2

2019-11-06T14:03:52.000Z

2019-12-25T22:35:19.000Z

utils/vae.py

lim0606/pytorch-generative-multisensory-network

646404db3f6fdad0c6663b861be747c1032ec291

[ "MIT" ]

null

utils/vae.py

lim0606/pytorch-generative-multisensory-network

646404db3f6fdad0c6663b861be747c1032ec291

[ "MIT" ]

null

''' miscellaneous functions: prob ''' import os import datetime import math import numpy as np import torch import torch.nn.functional as F #from torch.autograd import Variable #from torch.distributions import Categorical, Normal ''' for vae ''' def loss_recon_bernoulli_with_logit(logit, x): # p = recon prob return F.binary_cross_entropy_with_logits(logit, x, size_average=False) def loss_recon_bernoulli(p, x): # p = recon prob return F.binary_cross_entropy(p, x, size_average=False) def loss_recon_gaussian(mu, logvar, x, const=None, do_sum=True): # https://math.stackexchange.com/questions/1307381/logarithm-of-gaussian-function-is-whether-convex-or-nonconvex # mu, logvar = nomral distribution recon_loss_element = logvar + (x - mu)**2 / logvar.exp() #+ math.log(2.*math.pi) # add const (can be used in change of variable) if const is not None: recon_loss_element += const # do sum if do_sum: recon_loss = torch.sum(recon_loss_element) * 0.5 + math.log(2.*math.pi)*0.5 return recon_loss else: batch_size = recon_loss_element.size(0) recon_loss_element = torch.sum(recon_loss_element.view(batch_size, -1), 1) * 0.5 + math.log(2.*math.pi)*0.5 return recon_loss_element def loss_recon_gaussian_w_fixed_var(mu, x, std=1.0, const=None, do_sum=True, add_logvar=True): # init var, logvar var = std**2 logvar = math.log(var) # estimate loss per element if add_logvar: recon_loss_element = logvar + (x - mu)**2 / var #+ math.log(2.*math.pi) else: recon_loss_element = (x - mu)**2 / var #+ math.log(2.*math.pi) # add const (can be used in change of variable) if const is not None: recon_loss_element += const # do sum if do_sum: recon_loss = torch.sum(recon_loss_element) * 0.5 + math.log(2.*math.pi)*0.5 return recon_loss else: batch_size = recon_loss_element.size(0) recon_loss_element = torch.sum(recon_loss_element.view(batch_size, -1), 1) * 0.5 + math.log(2.*math.pi)*0.5 return recon_loss_element def loss_recon_laplace(mu, logvar, x, const=None, do_sum=True): # https://math.stackexchange.com/questions/1307381/logarithm-of-gaussian-function-is-whether-convex-or-nonconvex # mu, logvar = nomral distribution recon_loss_element = logvar + torch.abs(x - mu) / logvar.exp() #+ math.log(2.) # add const (can be used in change of variable) if const is not None: recon_loss_element += const # do sum if do_sum: recon_loss = torch.sum(recon_loss_element) + math.log(2.) return recon_loss else: batch_size = recon_loss_element.size(0) recon_loss_element = torch.sum(recon_loss_element.view(batch_size, -1), 1) + math.log(2.) return recon_loss_element def loss_recon_laplace_w_fixed_var(mu, x, std=1.0, const=None, do_sum=True, add_logvar=True): # init var, logvar var = std**2 logvar = math.log(var) # estimate loss per element if add_logvar: recon_loss_element = logvar + torch.abs(x - mu) / var #+ math.log(2.) else: recon_loss_element = torch.abs(x - mu) / var #+ math.log(2.) # add const (can be used in change of variable) if const is not None: recon_loss_element += const # do sum if do_sum: recon_loss = torch.sum(recon_loss_element) + math.log(2.) return recon_loss else: batch_size = recon_loss_element.size(0) recon_loss_element = torch.sum(recon_loss_element.view(batch_size, -1), 1) + math.log(2.) return recon_loss_element def loss_kld_gaussian(mu, logvar, do_sum=True): # see Appendix B from VAE paper: # Kingma and Welling. Auto-Encoding Variational Bayes. ICLR, 2014 # https://arxiv.org/abs/1312.6114 # 0.5 * sum(1 + log(sigma^2) - mu^2 - sigma^2) KLD_element = 1 + logvar - mu.pow(2) - logvar.exp() # do sum if do_sum: KLD = torch.sum(KLD_element) * -0.5 return KLD else: batch_size = KLD_element.size(0) KLD_element = torch.sum(KLD_element.view(batch_size, -1), 1) * -0.5 return KLD_element def loss_kld_gaussian_vs_gaussian(mu1, logvar1, mu2, logvar2, do_sum=True): # see Appendix B from VAE paper: # Kingma and Welling. Auto-Encoding Variational Bayes. ICLR, 2014 # https://arxiv.org/abs/1312.6114 # 0.5 * sum(1 + log(sigma^2) - mu^2 - sigma^2) # https://stats.stackexchange.com/questions/7440/kl-divergence-between-two-univariate-gaussians # log(sigma2) - log(sigma1) + 0.5 * (sigma1^2 + (mu1 - mu2)^2) / sigma2^2 - 0.5 # 0 - log(sigma1) + 0.5 * (sigma1^2 + mu1^2) - 0.5 # 0 - log(sigma1) + 0.5 * sigma1^2 + 0.5 * mu1^2 - 0.5 # 0 - 0.5 * log(sigma1^2) + 0.5 * sigma1^2 + 0.5 * mu1^2 - 0.5 # log(sigma2) - log(sigma1) + 0.5 * (sigma1^2 + (mu1 - mu2)^2) / sigma2^2 - 0.5 KLD_element = - logvar2 + logvar1 - (logvar1.exp() + (mu1 - mu2)**2) / logvar2.exp() + 1. # do sum if do_sum: KLD = torch.sum(KLD_element) * -0.5 return KLD else: batch_size = KLD_element.size(0) KLD_element = torch.sum(KLD_element.view(batch_size, -1), 1) * -0.5 return KLD_element #def estimate_loss(buffers): # kl_loss = 0 # recon_loss = 0 # for mu_x_t, logvar_x_t, mu_z_t, logvar_z_t, mu_z_0_t, logvar_z_0_t, x_t in buffers: # kl_loss += loss_kld_gaussian(mu_z_t, logvar_z_t, mu_z_0_t, logvar_z_0_t) # recon_loss += loss_recon_gaussian(mu_x_t, logvar_x_t, x_t) # loss = recon_loss + kl_loss # return loss, recon_loss, kl_loss def loss_kld_gaussian_vs_energy_func(mu1, logvar1, z, energy_func2, do_sum=True): entropy_element = 1. + math.log(2.*math.pi) + logvar1 log_prob = energy_func2(z) # do sum if do_sum: KLD = torch.sum(entropy_element) * -0.5 - torch.sum(log_prob) return KLD else: batch_size = entropy_element.size(0) KLD_element = torch.sum(entropy_element.view(batch_size, -1), 1) * -0.5 - torch.sum(log_prob, 1) return KLD_element

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null

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5

acb49ac597e9f18294b623dd74fabc613d9f6380

105

py

Python

enthought/naming/pyfs_context_factory.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/naming/pyfs_context_factory.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/naming/pyfs_context_factory.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from apptools.naming.pyfs_context_factory import *

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acc322b7515810d61be419da5871d1ce70c2cb45

146

py

Python

pofatu/adapters.py

pofatu/pofatu

409e37dfc4a512283cd85481ff478368dd3071e9

[ "Apache-2.0" ]

2

2022-01-24T09:48:53.000Z

2022-01-25T11:18:24.000Z

pofatu/adapters.py

pofatu/pofatu

409e37dfc4a512283cd85481ff478368dd3071e9

[ "Apache-2.0" ]

9

2018-08-15T10:47:11.000Z

2020-10-26T11:48:37.000Z

pofatu/adapters.py

pofatu/pofatu

409e37dfc4a512283cd85481ff478368dd3071e9

[ "Apache-2.0" ]

1

2021-12-17T16:15:27.000Z

from collections import namedtuple from clld import interfaces from clld.web.adapters.geojson import GeoJson from clld.db.meta import DBSession

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1

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acf13df94125433a96c221bbbce646282b2bbefb

87

py

Python

tccli/services/iecp/__init__.py

HS-Gray/tencentcloud-cli

3822fcfdfed570fb526fe49abe6793e2f9127f4a

[ "Apache-2.0" ]

47

2018-05-31T11:26:25.000Z

2022-03-08T02:12:45.000Z

tccli/services/iecp/__init__.py

HS-Gray/tencentcloud-cli

3822fcfdfed570fb526fe49abe6793e2f9127f4a

[ "Apache-2.0" ]

23

2018-06-14T10:46:30.000Z

2022-02-28T02:53:09.000Z

tccli/services/iecp/__init__.py

HS-Gray/tencentcloud-cli

3822fcfdfed570fb526fe49abe6793e2f9127f4a

[ "Apache-2.0" ]

22

2018-10-22T09:49:45.000Z

2022-03-30T08:06:04.000Z

# -*- coding: utf-8 -*- from tccli.services.iecp.iecp_client import action_caller

21.75

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5

4a175f1110de4fa3d778d2490f0083bc29077bc0

69

py

Python

pylinear/grism/instruments/__init__.py

Russell-Ryan/pyLINEAR

d68e44bc64d302b816db69d2becc4de3b15059f9

[ "MIT" ]

2

2019-08-07T19:57:04.000Z

2021-01-21T22:54:13.000Z

pylinear/grism/instruments/__init__.py

Russell-Ryan/pyLINEAR

d68e44bc64d302b816db69d2becc4de3b15059f9

[ "MIT" ]

1

2019-10-02T03:18:26.000Z

pylinear/grism/instruments/__init__.py

Russell-Ryan/pyLINEAR

d68e44bc64d302b816db69d2becc4de3b15059f9

[ "MIT" ]

5

2019-09-03T17:01:10.000Z

2020-08-05T17:49:42.000Z

from .config import Config from .load_detector import load_detector

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py

Python

nk/__init__.py

KathyFeiyang/neurokernel

8ce5d5159fdec9146299065375fa5f98ded313cb

[ "BSD-3-Clause" ]

235

2015-01-27T01:12:54.000Z

2022-03-17T23:09:35.000Z

nk/__init__.py

mreitm/neurokernel

8195a500ba1127f719e963465af9f43d6019b884

[ "BSD-3-Clause" ]

29

2015-01-12T18:00:45.000Z

2020-08-04T22:33:15.000Z

nk/__init__.py

mreitm/neurokernel

8195a500ba1127f719e963465af9f43d6019b884

[ "BSD-3-Clause" ]

67

2015-01-18T22:20:49.000Z

2021-12-13T03:33:49.000Z

from pkgutil import extend_path __path__ = extend_path(__path__, 'neurokernel')

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py

Python

test3/generated/structures/20170529011635_valid.py

nm-wu/RAMLFlask

003ceb0f0b68d0d80d8fb8fcd6d5b329a1608dd0

[ "BSD-3-Clause" ]

4

2017-11-30T10:23:12.000Z

2020-06-07T01:05:12.000Z

test3/generated/structures/20170616163133_valid.py

nm-wu/RAMLFlask

003ceb0f0b68d0d80d8fb8fcd6d5b329a1608dd0

[ "BSD-3-Clause" ]

null

test3/generated/structures/20170616163133_valid.py

nm-wu/RAMLFlask

003ceb0f0b68d0d80d8fb8fcd6d5b329a1608dd0

[ "BSD-3-Clause" ]

1

2017-12-14T17:11:05.000Z

{'GET /threads/search': []}

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a899dd937f74af4e1bc80545446dcab1e396a0a8

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py

Python

fpipelite/cli/data.py

leith-bartrich/fpipelite

88970ad4e45c60d90399ca71fddb161ae8ec1eff

[ "MIT" ]

null

fpipelite/cli/data.py

leith-bartrich/fpipelite

88970ad4e45c60d90399ca71fddb161ae8ec1eff

[ "MIT" ]

null

fpipelite/cli/data.py

leith-bartrich/fpipelite

88970ad4e45c60d90399ca71fddb161ae8ec1eff

[ "MIT" ]

null

import pathlib import argparse import json import os

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a8c393d7d7b99858e022b6a2efd060c408542e7b

156

py

Python

LeetCode/Number of Good Pairs.py

UtkarshPathrabe/Competitive-Coding

ba322fbb1b88682d56a9b80bdd92a853f1caa84e

[ "MIT" ]

13

2021-09-02T07:30:02.000Z

2022-03-22T19:32:03.000Z

LeetCode/Number of Good Pairs.py

UtkarshPathrabe/Competitive-Coding

ba322fbb1b88682d56a9b80bdd92a853f1caa84e

[ "MIT" ]

null

LeetCode/Number of Good Pairs.py

UtkarshPathrabe/Competitive-Coding

ba322fbb1b88682d56a9b80bdd92a853f1caa84e

[ "MIT" ]

3

2021-08-24T16:06:22.000Z

2021-09-17T15:39:53.000Z

class Solution: def numIdenticalPairs(self, nums: List[int]) -> int: return sum(((freq * (freq - 1)) // 2) for _, freq in Counter(nums).items())

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py

Python

venv/lib/python3.8/site-packages/poetry/core/_vendor/pyrsistent/_helpers.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/poetry/core/_vendor/pyrsistent/_helpers.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/poetry/core/_vendor/pyrsistent/_helpers.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/70/5d/17/f4d2731a4f82fc96aa9e7acae1b55fe4ed0fe023182086f1cc9697dd88

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764b8cb8fe6c0de37a913c5510181539665fd3a4

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py

Python

skyfield/tests/test_magnitudes_raw.py

zanzibar7/python-skyfield

332038d49ea5814061336cd70cad1d819e630f2b

[ "MIT" ]

null

skyfield/tests/test_magnitudes_raw.py

zanzibar7/python-skyfield

332038d49ea5814061336cd70cad1d819e630f2b

[ "MIT" ]

null

skyfield/tests/test_magnitudes_raw.py

zanzibar7/python-skyfield

332038d49ea5814061336cd70cad1d819e630f2b

[ "MIT" ]

1

2020-12-21T15:07:51.000Z

from skyfield import magnitudelib as m from skyfield.api import load def test_front_end_function(): # Simply call the routine with each planet to discover any exceptions. ts = load.timescale() t = ts.utc(2020, 7, 31) eph = load('de421.bsp') for name in ('mercury', 'venus', 'earth', 'jupiter barycenter', 'uranus barycenter'): astrometric = eph['sun'].at(t).observe(eph[name]) m.planetary_magnitude(astrometric) def test_mercury_magnitude_function(): assert abs(-2.477 - m._mercury_magnitude(0.310295423552, 1.32182643625754, 1.1677)) < 0.0005 assert abs(0.181 - m._mercury_magnitude(0.413629222334, 0.92644808718613, 90.1662)) < 0.0005 assert abs(7.167 - m._mercury_magnitude(0.448947624811, 0.56004973217883, 178.7284)) < 0.0005 def test_venus_magnitude_function(): assert abs(-3.917 - m._venus_magnitude(0.722722540169, 1.71607489554051, 1.3232)) < 0.0005 assert abs(-4.916 - m._venus_magnitude(0.721480714554, 0.37762511206278, 124.1348)) < 0.0005 assert abs(-3.090 - m._venus_magnitude(0.726166592736, 0.28889582420642, 179.1845)) < 0.0005 def test_earth_magnitude_function(): assert abs(-3.269 - m._earth_magnitude(0.983331936476, 1.41317594650699, 8.7897)) < 0.0005 assert abs(-6.909 - m._earth_magnitude(0.983356079811, 0.26526856764726, 4.1369)) < 0.0005 assert abs(1.122 - m._earth_magnitude(0.983356467727, 0.62933287342927, 175.6869)) < 0.0005 def test_mars_magnitude_function(): pass def test_jupiter_magnitude_function(): assert abs(-1.667 - m._jupiter_magnitude(5.446231815414, 6.44985867459088, 0.2446)) < 0.0005 assert abs(-2.934 - m._jupiter_magnitude(4.957681473205, 3.95393078136013, 0.3431)) < 0.0005 assert abs(0.790 - m._jupiter_magnitude(5.227587855371, 5.23501920009381, 147.0989)) < 0.0005 def test_saturn_magnitude_function(): pass def test_uranus_magnitude_function(): assert abs(5.381 - m._uranus_magnitude(18.321003215845, 17.3229728525108, 0.0410, -20.29, -20.28)) < 0.0005 assert abs(6.025 - m._uranus_magnitude(20.096361095266, 21.0888470145276, 0.0568, 1.02, 0.97)) < 0.0005 assert abs(8.318 - m._uranus_magnitude(19.38003071775, 11.1884243801383, 161.7728, -71.16, 55.11)) < 0.0005 def test_neptune_magnitude_function(): pass

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py

Python

env_wrappers/__init__.py

geyang/env-wrappers

a1ae85f93972f5a006d141a854fd0c492b29a79a

[ "MIT" ]

null

env_wrappers/__init__.py

geyang/env-wrappers

a1ae85f93972f5a006d141a854fd0c492b29a79a

[ "MIT" ]

1

2021-07-13T03:04:03.000Z

env_wrappers/__init__.py

geyang/env-wrappers

a1ae85f93972f5a006d141a854fd0c492b29a79a

[ "MIT" ]

null

from .monitor import Monitor from .vec_env import SubprocVecEnv, DummyVecEnv

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py

Python

msdm/core/problemclasses/problemclass.py

markkho/msdm

f2e07cdf1a16f7a0564a4822caed89a758e14bf1

[ "MIT" ]

15

2020-09-09T14:08:10.000Z

2022-02-24T14:19:39.000Z

msdm/core/problemclasses/problemclass.py

markkho/msdm

f2e07cdf1a16f7a0564a4822caed89a758e14bf1

[ "MIT" ]

28

2020-09-13T22:12:03.000Z

2022-02-20T18:42:56.000Z

msdm/core/problemclasses/problemclass.py

markkho/msdm

f2e07cdf1a16f7a0564a4822caed89a758e14bf1

[ "MIT" ]

3

2021-07-21T15:05:01.000Z

2022-02-07T04:01:55.000Z

from abc import ABC, abstractmethod class ProblemClass(ABC): """Abstract superclass for all problem classes""" pass

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164

py

Python

config.py

Jaahd/pyBot_Recast

c7668f06fc669d798b213dcba48c4c2757d3695a

[ "Unlicense" ]

null

config.py

Jaahd/pyBot_Recast

c7668f06fc669d798b213dcba48c4c2757d3695a

[ "Unlicense" ]

null

config.py

Jaahd/pyBot_Recast

c7668f06fc669d798b213dcba48c4c2757d3695a

[ "Unlicense" ]

null

import os os.environ.setdefault('REQUEST_TOKEN', '8d5c5bfbeb3cb85c928f7b8911b6b2b1') os.environ.setdefault('LANGUAGE', 'en') os.environ.setdefault('PORT', '5000')

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76901d8f70504856a4763803033fbce08c961c66

172

py

Python

aligo/exc.py

james-song/aligo-rest-client-python

fc83650ad308335ab12d419b0cc25fc30e143c44

[ "MIT" ]

null

aligo/exc.py

james-song/aligo-rest-client-python

fc83650ad308335ab12d419b0cc25fc30e143c44

[ "MIT" ]

null

aligo/exc.py

james-song/aligo-rest-client-python

fc83650ad308335ab12d419b0cc25fc30e143c44

[ "MIT" ]

null

class AllowSenderError(Exception): pass class AllowAuthError(Exception): pass class NotEnoughPoint(Exception): pass class AligoError(Exception): pass

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413

py

Python

src/games/nnet_agent.py

im0qianqian/Reversi-based-RL

ef3723ffa26210bf04f19ffb72e5b9a43e54c448

[ "MIT" ]

61

2019-06-19T04:31:46.000Z

2022-02-12T03:36:57.000Z

src/games/nnet_agent.py

im0qianqian/Reversi-based-RL

ef3723ffa26210bf04f19ffb72e5b9a43e54c448

[ "MIT" ]

3

2019-06-29T14:49:01.000Z

2020-01-06T03:34:25.000Z

src/games/nnet_agent.py

im0qianqian/Reversi-based-RL

ef3723ffa26210bf04f19ffb72e5b9a43e54c448

[ "MIT" ]

12

2019-06-19T04:31:49.000Z

2022-03-30T05:46:00.000Z

class NeuralNetAgent(object): def predict(self, board): """ 输入当前棋盘（相对），预测每个点的权值 """ pass def train(self, examples): """ 训练 """ pass def save_checkpoint(self, folder, filename): """ 保存当前的神经网络 """ pass def load_checkpoint(self, folder, filename): """ 加载神经网络 """ pass

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py

Python

httprider/core/http_statuses.py

iSWORD/http-rider

5d9e5cc8c5166ab58f81d30d21b3ce2497bf09b9

[ "MIT" ]

27

2019-12-20T00:10:28.000Z

2022-03-09T18:04:23.000Z

httprider/core/http_statuses.py

iSWORD/http-rider

5d9e5cc8c5166ab58f81d30d21b3ce2497bf09b9

[ "MIT" ]

6

2019-10-13T08:50:21.000Z

2020-06-05T12:23:08.000Z

httprider/core/http_statuses.py

iSWORD/http-rider

5d9e5cc8c5166ab58f81d30d21b3ce2497bf09b9

[ "MIT" ]

7

2019-08-10T01:38:31.000Z

2021-08-23T05:28:46.000Z

def is_2xx(response_code): return 200 <= response_code < 300 def is_3xx(response_code): return 300 <= response_code < 400 def is_4xx(response_code): return 400 <= response_code < 500 def is_5xx(response_code): return response_code >= 500

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7,521

py

Python

load.py

McybearX/GameTTs

d62b675394833038cb7df3992af0b3de08ec4fa6

[ "Apache-2.0" ]

null

load.py

McybearX/GameTTs

d62b675394833038cb7df3992af0b3de08ec4fa6

[ "Apache-2.0" ]

null

load.py

McybearX/GameTTs

d62b675394833038cb7df3992af0b3de08ec4fa6

[ "Apache-2.0" ]

null

#assalamu'alaikum warahmatullahi wabarakatuh🙏 #jangan di recode plisss🥲 import os,sys,time def aahh(s): for c in s + '\n': sys.stdout.write(c) sys.stdout.flush() time.sleep(1./10) def baner(): os.system("clear") aahh("\n\x1b[1;97mLoading...") print ("""\x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner1(): print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner2(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner3(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner4(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner5(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner6(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner7(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner8(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner9(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner9(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner10(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner11(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ \x1b[1;91mX x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner12(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner13(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner14(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner15(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner16(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner17(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner18(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95m | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner19(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def baner20(): os.system("clear") print (""" Loading... \x1b[1;95m ʕ\x1b[1;91m X x\x1b[1;95mʔ | ─ ノ\x1b[1;97m |\,_ \ | | | | ￣￣ """) def loding(): baner() time.sleep(3) os.system("clear") baner1() time.sleep(1) baner2() time.sleep(1) baner3() time.sleep(1./5) baner4() time.sleep(1./5) baner5() time.sleep(1./10) baner5() time.sleep(1./10) baner6() time.sleep(1./10) baner7() time.sleep(1./10) baner8() time.sleep(1./5) baner9() time.sleep(1./5) baner10() time.sleep(1./5) baner11() time.sleep(1./5) baner12() time.sleep(1./5) baner13() time.sleep(1.5) baner14() time.sleep(1./7) baner15() time.sleep(1./7) baner16() time.sleep(1./8) baner17() time.sleep(1./10) baner18() time.sleep(1./6) baner19() time.sleep(1) baner20() loding()

23.429907

82

0.270975

706

7,521

2.951841

0.09915

0.170825

0.077255

0.084453

0.678503

0.661228

0.654511

0

0.147235

0.579178

7,521

320

83

23.503125

0.489731

0.009041

0

0.815068

0

0.723661

0.002953

0

1

0.082192

false

0

0.003425

0

0.085616

0.075342

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null

0

1

0

1

0

1

0

1

0

1

0

null

0

5

4f3f374ecfa4b72bac5e4656f97d50f3832a043f

275

py

Python

ganeshportfolio/__init__.py

Ganeshuthiravasagam/ganeshportfolio

e481b9909cc4d5fae34e69ef946f0f718938a609

[ "MIT" ]

null

ganeshportfolio/__init__.py

Ganeshuthiravasagam/ganeshportfolio

e481b9909cc4d5fae34e69ef946f0f718938a609

[ "MIT" ]

null

ganeshportfolio/__init__.py

Ganeshuthiravasagam/ganeshportfolio

e481b9909cc4d5fae34e69ef946f0f718938a609

[ "MIT" ]

null

def author_name(): return "Ganesh" def author_education(): return "Purusing Engineering Pre-final Year" def author_socialmedia(): return "https://www.linkedin.com/in/ganeshuthiravasagam/" def author_github(): return "https://github.com/Ganeshuthiravasagam/"

27.5

61

0.741818

32

275

6.25

0.59375

0.18

0

0.130909

275

9

62

30.555556

0.83682

0

0.467153

0

1

0.5

true

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

5

4f63f7b0027b41a4e7198d57db62c7531382985a

98

py

Python

PyQuM/ver(0.1)/pyqumrun.py

takehuge/PYQUM

bfc9d9b1c2f4246c7aac3a371baaf587c99f8069

[ "MIT" ]

null

PyQuM/ver(0.1)/pyqumrun.py

takehuge/PYQUM

bfc9d9b1c2f4246c7aac3a371baaf587c99f8069

[ "MIT" ]

null

PyQuM/ver(0.1)/pyqumrun.py

takehuge/PYQUM

bfc9d9b1c2f4246c7aac3a371baaf587c99f8069

[ "MIT" ]

null

from pyqum import create_app app = create_app() app.run(host='127.0.0.1', port=5777, debug=True)

19.6

48

0.72449

19

98

3.631579

0.736842

0.26087

0.347826

0

0.114943

0.112245

98

4

49

24.5

0.678161

0

0.091837

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

5

4f89c9e57fde35b6e1d3e5d2db41056872772641

54

py

Python

nets/__init__.py

DHZS/tf-dropblock

6ebdd806d43649fe9a9ca306be552058ba352ea2

[ "MIT" ]

84

2018-11-08T13:33:20.000Z

2021-11-08T09:31:33.000Z

nets/__init__.py

wanqiuwang/tf-dropblock

cff9e764706367890efdcf90fe778feeaf9d865f

[ "MIT" ]

7

2018-11-11T14:33:59.000Z

2021-02-15T16:58:41.000Z

nets/__init__.py

wanqiuwang/tf-dropblock

cff9e764706367890efdcf90fe778feeaf9d865f

[ "MIT" ]

18

2018-11-09T05:28:38.000Z

2021-12-09T18:18:28.000Z

# Author: An Jiaoyang # =============================

18

31

0.296296

3

54

5.333333

1

0

0.111111

54

2

32

27

0.333333

0.907407

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

5

96c6476251fc2c0642dc64998606d73476b9db5d

140

py

Python

test/e2e/tests/test_bucket.py

jmazumder/s3-controller

933155e04c9a57c8b3aa86e91985206fd209d56f

[ "Apache-2.0" ]

null

test/e2e/tests/test_bucket.py

jmazumder/s3-controller

933155e04c9a57c8b3aa86e91985206fd209d56f

[ "Apache-2.0" ]

null

test/e2e/tests/test_bucket.py

jmazumder/s3-controller

933155e04c9a57c8b3aa86e91985206fd209d56f

[ "Apache-2.0" ]

null

import pytest from e2e import SERVICE_NAME class TestBucket: def test_bucket(self): pytest.skip(f"No tests for {SERVICE_NAME}")

23.333333

51

0.735714

21

140

4.761905

0.809524

0.22

0

0.008772

0.185714

140

6

51

23.333333

0.868421

0

0.191489

0

1

0.2

false

0

0.4

0

0.8

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

96fe20204d5967b6e7e00f5e6ea61e00b00d8bea

67

py

Python

eventsrouter/celery.py

The-Politico/django-slack-events-router

a838d94a55f7be7afeafa19dad093c29e77ebe67

[ "MIT" ]

null

eventsrouter/celery.py

The-Politico/django-slack-events-router

a838d94a55f7be7afeafa19dad093c29e77ebe67

[ "MIT" ]

6

2019-12-05T00:43:05.000Z

2021-06-09T18:39:48.000Z

eventsrouter/celery.py

The-Politico/django-slack-events-router

a838d94a55f7be7afeafa19dad093c29e77ebe67

[ "MIT" ]

1

2021-05-30T15:00:36.000Z

# flake8: noqa from eventsrouter.tasks.webhook import post_webhook

22.333333

51

0.835821

9

67

6.111111

0.888889

0

0.016667

0.104478

67

2

52

33.5

0.9

0.179104

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

8b055f36a8d1de72dc687b28a23129c34b3be816

76

py

Python

exercicios/ex001.py

grievous0/Python_exercises

d1bef850c6d0205ff55c6a059e2bff382871853e

[ "MIT" ]

null

exercicios/ex001.py

grievous0/Python_exercises

d1bef850c6d0205ff55c6a059e2bff382871853e

[ "MIT" ]

null

exercicios/ex001.py

grievous0/Python_exercises

d1bef850c6d0205ff55c6a059e2bff382871853e

[ "MIT" ]

null

# Criar um programa que escreva 'Olá Mundo!' na tela # print('Olá Mundo!')

19

54

0.684211

12

76

4.333333

0.833333

0.307692

0

0.184211

76

3

55

25.333333

0.83871

0.657895

0

0.47619

0

1

0

true

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

8b10c28e87f3281e83782d63b1f6f16ace187c7d

186

py

Python

graphql_social_auth/__init__.py

SenFullDev66/Django-Graphql-Social-Auth

002ab1fca128da8c18dff5c8ced2f4fa3a48d3f0

[ "MIT" ]

null

graphql_social_auth/__init__.py

SenFullDev66/Django-Graphql-Social-Auth

002ab1fca128da8c18dff5c8ced2f4fa3a48d3f0

[ "MIT" ]

null

graphql_social_auth/__init__.py

SenFullDev66/Django-Graphql-Social-Auth

002ab1fca128da8c18dff5c8ced2f4fa3a48d3f0

[ "MIT" ]

null

from . import relay from .mutations import SocialAuthMutation, SocialAuth, SocialAuthJWT __all__ = ['relay', 'SocialAuthMutation', 'SocialAuth', 'SocialAuthJWT'] __version__ = '0.1.4'

26.571429

72

0.763441

18

186

7.444444

0.666667

0.41791

0.61194

0

0.018182

0.112903

186

6

73

31

0.793939

0

0.274194

0

1

0

false

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

8b2691c90a098012ddf957404d9e8e77dc628f43

392

py

Python

tests/test_context/test_context_utils.py

Hiyorimi/returns

25362236f46a939e22e1325df7e4ab71bdc52eb9

[ "BSD-2-Clause" ]

null

tests/test_context/test_context_utils.py

Hiyorimi/returns

25362236f46a939e22e1325df7e4ab71bdc52eb9

[ "BSD-2-Clause" ]

null

tests/test_context/test_context_utils.py

Hiyorimi/returns

25362236f46a939e22e1325df7e4ab71bdc52eb9

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- from returns.context import Context def test_context_ask(): """Ensures that ``ask`` method works correctly.""" assert Context[int].ask()(1) == 1 assert Context[str].ask()('a') == 'a' def test_context_unit(): """Ensures that ``unit`` method works correctly.""" assert Context.unit(1)(Context.Empty) == 1 assert Context[int].unit(2)(1) == 2

24.5

55

0.625

54

392

4.462963

0.425926

0.215768

0.116183

0.215768

0.273859

0

0.024845

0.178571

392

15

56

26.133333

0.723602

0.288265

0

0.007463

0

0.571429

1

0.285714

true

0

0.142857

0

0.428571

0

null

1

0

1

0

null

0

1

0

1

0

5

8b27f01836f674e4dd2c6d5f2d21327e862a9aa9

438

py

Python

server/err.py

wilicw/info-topic

26b8e0f2b2622077ac7f9751ece79758ed13cae0

[ "Unlicense" ]

1

2022-01-06T05:20:19.000Z

server/err.py

wilicw/info-topic

26b8e0f2b2622077ac7f9751ece79758ed13cae0

[ "Unlicense" ]

null

server/err.py

wilicw/info-topic

26b8e0f2b2622077ac7f9751ece79758ed13cae0

[ "Unlicense" ]

null

account_error = {"status": "error", "message": "username or password error!"}, 400 teacher_not_found = {"status": "error", "message": "teacher not found!"}, 400 topic_not_found = {"status": "error", "message": "topic not found!"}, 400 file_not_found = {"status": "error", "message": "file not found!"}, 400 upload_error = {"status": "error", "message": "??"}, 400 not_allow_error = {"status": "error", "message": "method not allow"}, 403

62.571429

82

0.659817

56

438

4.982143

0.303571

0.236559

0.387097

0.247312

0.27957

0

0.046753

0.121005

438

6

83

73

0.677922

0

0.461187

0

1

0

false

0.166667

0

null

1

0

1

0

null

0

1

0

5

8b317154a842cacc4163c3d529c6e07732747886

17

py

Python

python/test.py

bobby-web/programlang

d0c1a762a2818a245602824a149f716ab7476ea0

[ "MIT" ]

null

python/test.py

bobby-web/programlang

d0c1a762a2818a245602824a149f716ab7476ea0

[ "MIT" ]

null

python/test.py

bobby-web/programlang

d0c1a762a2818a245602824a149f716ab7476ea0

[ "MIT" ]

null

a=1+1 print(a)

5.666667

9

0.529412

5

17

1.8

0.6

0

0.153846

0.235294

17

2

10

8.5

0.538462

0

1

0

false

0

0.5

1

null

0

1

0

null

0

1

0

5

8ceccdda143d1b93a3ddce967d88b29c7296a552

85

py

Python

otc/__init__.py

nthparty/ot

1269edafb788aba0130f17aa780e91a25cf01439

[ "MIT" ]

1

2021-09-10T02:35:30.000Z

otc/__init__.py

nthparty/otc

04f6b74b669033ee529d6d5cbc5ece9f9933ffef

[ "MIT" ]

null

otc/__init__.py

nthparty/otc

04f6b74b669033ee529d6d5cbc5ece9f9933ffef

[ "MIT" ]

null

"""Gives users direct access to module classes.""" from otc.otc import receive, send

28.333333

50

0.752941

13

85

4.923077

0.923077

0

0.141176

85

2

51

42.5

0.876712

0.517647

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

507b91fccd1a52a8c25b5e4a90a1a4c58fae4c92

123

py

Python

pk_model/plotter_factory.py

SABS-best-team/SABS-Pharmokinetics-Project

608993c0056d2f273f164e3cdb23e6365fe2acfd

[ "MIT" ]

1

2021-11-12T20:06:35.000Z

pk_model/plotter_factory.py

SABS-best-team/SABS-Pharmokinetics-Project

608993c0056d2f273f164e3cdb23e6365fe2acfd

[ "MIT" ]

1

2021-10-21T14:49:23.000Z

pk_model/plotter_factory.py

SABS-best-team/SABS-Pharmokinetics-Project

608993c0056d2f273f164e3cdb23e6365fe2acfd

[ "MIT" ]

null

from .plotters.plotFromCSV import PlotFromCSV class PlotterFactory(): def getPlotFromCSV(): return PlotFromCSV

24.6

45

0.756098

11

123

8.454545

0.818182

0

0.178862

123

5

46

24.6

0.920792

0

1

0.25

true

0

0.25

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

508c47f98c5d4951fc383b58161789e9c41ac1cb

31

py

Python

Trees/__init__.py

dileeppandey/hello-interview

78f6cf4e2da4106fd07f4bd86247026396075c69

[ "MIT" ]

null

Trees/__init__.py

dileeppandey/hello-interview

78f6cf4e2da4106fd07f4bd86247026396075c69

[ "MIT" ]

null

Trees/__init__.py

dileeppandey/hello-interview

78f6cf4e2da4106fd07f4bd86247026396075c69

[ "MIT" ]

1

2020-02-12T16:57:46.000Z

import Trees.TreeNode as Node

10.333333

29

0.806452

5

31

5

1

0

0.16129

31

2

30

15.5

0.961538

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

50a011497dc1b2acb3a74b1c87f44995cc463a23

5,714

py

Python

irekua_rest_api/filters/items.py

IslasGECI/irekua-rest-api

35cf5153ed7f54d12ebad2ac07d472585f04e3e7

[ "BSD-4-Clause" ]

null

irekua_rest_api/filters/items.py

IslasGECI/irekua-rest-api

35cf5153ed7f54d12ebad2ac07d472585f04e3e7

[ "BSD-4-Clause" ]

11

2020-03-28T18:51:50.000Z

2022-01-13T01:47:40.000Z

irekua_rest_api/filters/items.py

IslasGECI/irekua-rest-api

35cf5153ed7f54d12ebad2ac07d472585f04e3e7

[ "BSD-4-Clause" ]

1

2021-05-06T19:38:14.000Z

import django_filters from irekua_database.models import Item from .utils import BaseFilter search_fields = ( 'item_type__name', ) class Filter(BaseFilter): is_uploaded = django_filters.BooleanFilter( field_name='item_file', method='is_uploaded_filter', label='is uploaded') def is_uploaded_filter(self, queryset, name, value): return queryset.filter(item_file__isnull=value) class Meta: model = Item fields = { # Item filters 'item_type': ['exact'], 'item_type__name': ['exact', 'icontains'], # Deployment filters 'sampling_event_device': ['exact'], 'sampling_event_device__latitude': ['exact', 'lt', 'lte', 'gt', 'gte'], 'sampling_event_device__altitude': ['exact', 'lt', 'lte', 'gt', 'gte'], 'sampling_event_device__longitude': ['exact', 'lt', 'lte', 'gt', 'gte'], 'sampling_event_device__deployed_on': ['exact', 'lt', 'lte', 'gt', 'gte'], 'sampling_event_device__recovered_on': ['exact', 'lt', 'lte', 'gt', 'gte'], # Sampling Event filters 'sampling_event_device__sampling_event': ['exact'], 'sampling_event_device__sampling_event__sampling_event_type': ['exact'], 'sampling_event_device__sampling_event__sampling_event_type__name': ['exact', 'icontains'], 'sampling_event_device__sampling_event__started_on': ['exact', 'lt', 'lte', 'gt', 'gte'], 'sampling_event_device__sampling_event__ended_on': ['exact', 'lt', 'lte', 'gt', 'gte'], # Collection Site filters 'sampling_event_device__sampling_event__collection_site': ['exact'], 'sampling_event_device__sampling_event__collection_site__internal_id': ['exact', 'icontains'], 'sampling_event_device__sampling_event__collection_site__site_type': ['exact'], 'sampling_event_device__sampling_event__collection_site__site_type__name': ['exact', 'icontains'], # Site Descriptors filters 'sampling_event_device__sampling_event__collection_site__site_descriptors': ['exact'], 'sampling_event_device__sampling_event__collection_site__site_descriptors__descriptor_type': ['exact'], 'sampling_event_device__sampling_event__collection_site__site_descriptors__descriptor_type__name': ['exact', 'icontains'], 'sampling_event_device__sampling_event__collection_site__site_descriptors__value': ['exact', 'icontains'], # Site filters 'sampling_event_device__sampling_event__collection_site__site': ['exact'], 'sampling_event_device__sampling_event__collection_site__site__latitude': ['exact', 'lt', 'gt', 'lte', 'gte'], 'sampling_event_device__sampling_event__collection_site__site__longitude': ['exact', 'lt', 'gt', 'lte', 'gte'], 'sampling_event_device__sampling_event__collection_site__site__altitude': ['exact', 'lt', 'gt', 'lte', 'gte'], # Collection filters 'sampling_event_device__sampling_event__collection': ['exact'], 'sampling_event_device__sampling_event__collection__name': ['exact', 'icontains'], 'sampling_event_device__sampling_event__collection__collection_type': ['exact'], 'sampling_event_device__sampling_event__collection__collection_type__name': ['exact', 'icontains'], 'sampling_event_device__sampling_event__collection__institution': ['exact'], 'sampling_event_device__sampling_event__collection__institution__institution_name': ['exact', 'icontains'], 'sampling_event_device__sampling_event__collection__institution__institution_code': ['exact', 'icontains'], # Collection Device filters 'sampling_event_device__collection_device': ['exact'], 'sampling_event_device__collection_device__internal_id': ['exact', 'icontains'], # Physical Device filters 'sampling_event_device__collection_device__physical_device': ['exact'], 'sampling_event_device__collection_device__physical_device__serial_number': ['exact', 'icontains'], 'sampling_event_device__collection_device__physical_device__device__brand': ['exact'], 'sampling_event_device__collection_device__physical_device__device__brand__name': ['exact', 'icontains'], 'sampling_event_device__collection_device__physical_device__device__model': ['exact', 'icontains'], 'sampling_event_device__collection_device__physical_device__device__device_type': ['exact'], 'sampling_event_device__collection_device__physical_device__device__device_type__name': ['exact', 'icontains'], # Annotation filters 'annotation__labels': ['exact'], 'annotation__labels__value': ['exact', 'icontains'], 'annotation__labels__term_type': ['exact'], 'annotation__labels__term_type__name': ['exact', 'icontains'], 'annotation__annotation_type': ['exact'], 'annotation__annotation_type__name': ['exact', 'icontains'], # User filters 'created_by': ['exact'], 'created_by__username': ['exact', 'icontains'], 'created_by__first_name': ['exact', 'icontains'], 'created_by__last_name': ['exact', 'icontains'], 'created_by__institution': ['exact'], 'created_by__institution__institution_code': ['exact', 'icontains'], 'created_by__institution__institution_name': ['exact', 'icontains'], # Date filters 'created_on': ['exact', 'lt', 'lte', 'gt', 'gte'], }

62.108696

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0.111111

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null

1

0

1

null

0

5

50ae30cfdc913cc1fff249fb1ff1ae6ce79afbf0

44

py

Python

tests/python-reference/tuple/tuple-truth.py

jpolitz/lambda-py-paper

746ef63fc1123714b4adaf78119028afbea7bd76

[ "Apache-2.0" ]

25

2015-04-16T04:31:49.000Z

2022-03-10T15:53:28.000Z

tests/python-reference/tuple/tuple-truth.py

jpolitz/lambda-py-paper

746ef63fc1123714b4adaf78119028afbea7bd76

[ "Apache-2.0" ]

1

2018-11-21T22:40:02.000Z

2018-11-26T17:53:11.000Z

tests/python-reference/tuple/tuple-truth.py

jpolitz/lambda-py-paper

746ef63fc1123714b4adaf78119028afbea7bd76

[ "Apache-2.0" ]

1

2021-03-26T03:36:19.000Z

___assertTrue(not ()) ___assertTrue((42, ))

14.666667

21

0.704545

4

44

6.25

0.75

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2

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0.575

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0

1

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null

0

1

0

1

0

5

50b6c5c13170dbc378cf20dbfc7d6d8985e19f2d

17

py

Python

conedevelopment_files/__init__.py

pbauermeister/ConeDevelopment

586b0efca135208564149d56a7ab64c70ba052de

[ "Unlicense" ]

1

2019-04-23T08:59:22.000Z

conedevelopment_files/__init__.py

pbauermeister/ConeDevelopment

586b0efca135208564149d56a7ab64c70ba052de

[ "Unlicense" ]

null

conedevelopment_files/__init__.py

pbauermeister/ConeDevelopment

586b0efca135208564149d56a7ab64c70ba052de

[ "Unlicense" ]

null

# to be a module

8.5

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0.916667

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1

0

null

0

1

0

5

50c64027f490aad9c678dc5aedb023a2c9ab26cc

72

py

Python

fluffy/models/__init__.py

EmilioDifferding/fluffy-access

3efb51da5c950b5f832909e2c179be0d4a42443e

[ "MIT" ]

null

fluffy/models/__init__.py

EmilioDifferding/fluffy-access

3efb51da5c950b5f832909e2c179be0d4a42443e

[ "MIT" ]

null

fluffy/models/__init__.py

EmilioDifferding/fluffy-access

3efb51da5c950b5f832909e2c179be0d4a42443e

[ "MIT" ]

null

from fluffy import db # from .user import User from .places import Place

24

25

0.791667

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72

4.75

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0.166667

72

3

25

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0.95

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true

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null

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null

0

1

0

1

0

1

0

5

50d5287103c697b171e56641557d5d4ff9d9a7da

529

py

Python

chemdataextractor/errors.py

OBrink/chemdataextractor2

152a45f6abbf069d2070232fa5c4038569ac7717

[ "MIT" ]

26

2020-08-06T13:40:58.000Z

2022-03-23T13:34:45.000Z

chemdataextractor/errors.py

OBrink/chemdataextractor2

152a45f6abbf069d2070232fa5c4038569ac7717

[ "MIT" ]

10

2021-09-20T16:29:12.000Z

2022-03-31T10:40:50.000Z

chemdataextractor/errors.py

OBrink/chemdataextractor2

152a45f6abbf069d2070232fa5c4038569ac7717

[ "MIT" ]

8

2020-09-15T14:48:12.000Z

2022-01-29T05:54:24.000Z

# -*- coding: utf-8 -*- """ Error classes for ChemDataExtractor. """ from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals class ChemDataExtractorError(Exception): """Base ChemDataExtractor exception.""" pass class ReaderError(ChemDataExtractorError): """Raised when a reader is unable to read a document.""" class ModelNotFoundError(ChemDataExtractorError): """Raised when a model file could not be found."""

22.041667

60

0.761815

58

529

6.62069

0.655172

0.104167

0.166667

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0

0.002227

0.151229

529

23

61

23

0.853007

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true

0.125

0.5

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0.125

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null

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null

0

1

0

1

0

5

50e2b2614dbd7d6b7cc3b43c34332639529e25a7

103

py

Python

prettyGraphics/__init__.py

Kyostenas/prettyGraphics

4b8a3baffb2ec835195f4c709ec4b16759087dea

[ "MIT" ]

null

prettyGraphics/__init__.py

Kyostenas/prettyGraphics

4b8a3baffb2ec835195f4c709ec4b16759087dea

[ "MIT" ]

null

prettyGraphics/__init__.py

Kyostenas/prettyGraphics

4b8a3baffb2ec835195f4c709ec4b16759087dea

[ "MIT" ]

null

""" prettyGraphics -------------- Recopilation of all pretty Libs """ from prettyTables import table

12.875

31

0.660194

10

103

6.8

1

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0.145631

103

8

32

12.875

0.772727

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true

0

1

0

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null

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null

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1

0

1

0

1

0

5

50fd6fca901fccb15b103240bc267b0f378dfd04

5,942

py

Python

tests/aws/test_reserved_instance.py

arunjayanth/accloudtant

e7ad29e5e4b0d25d9669fed4a9246089d5122f4e

[ "Apache-2.0" ]

null

tests/aws/test_reserved_instance.py

arunjayanth/accloudtant

e7ad29e5e4b0d25d9669fed4a9246089d5122f4e

[ "Apache-2.0" ]

null

tests/aws/test_reserved_instance.py

arunjayanth/accloudtant

e7ad29e5e4b0d25d9669fed4a9246089d5122f4e

[ "Apache-2.0" ]

null

# Copyright 2015-2016 See CONTRIBUTORS.md file # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. import datetime from dateutil.tz import tzutc import accloudtant.aws.reserved_instance from conftest import MockEC2Instance from test_reports import get_future_date def test_retired_ri(): az = 'us-east-1b' ri_data = { 'ProductDescription': 'Linux/UNIX', 'InstanceTenancy': 'default', 'InstanceCount': 29, 'InstanceType': 'm1.large', 'Start': datetime.datetime( 2011, 6, 5, 6, 20, 10, 494000, tzinfo=tzutc() ), 'RecurringCharges': [], 'End': datetime.datetime( 2011, 6, 5, 6, 20, 10, tzinfo=tzutc() ), 'CurrencyCode': 'USD', 'OfferingType': 'Medium Utilization', 'ReservedInstancesId': '46a408c7-c33d-422d-af59-28df1223331f', 'FixedPrice': 910.0, 'AvailabilityZone': az, 'UsagePrice': 0.12, 'Duration': 31536000, 'State': 'retired', } ri = accloudtant.aws.reserved_instance.ReservedInstance(ri_data) assert(ri.id == ri_data['ReservedInstancesId']) assert(ri.product_description == ri_data['ProductDescription']) assert(ri.instance_tenancy == ri_data['InstanceTenancy']) assert(ri.instance_count == ri_data['InstanceCount']) assert(ri.instance_type == ri_data['InstanceType']) assert(ri.start == ri_data['Start']) assert(ri.recurring_charges == ri_data['RecurringCharges']) assert(ri.end == ri_data['End']) assert(ri.currency_code == ri_data['CurrencyCode']) assert(ri.offering_type == ri_data['OfferingType']) assert(ri.fixed_price == ri_data['FixedPrice']) assert(ri.az == ri_data['AvailabilityZone']) assert(ri.usage_price == ri_data['UsagePrice']) assert(ri.duration == ri_data['Duration']) assert(ri.state == ri_data['State']) assert(ri.instances_left == 0) def test_active_ri(): az = 'us-east-1b' ri_data = { 'ProductDescription': 'Linux/UNIX', 'InstanceTenancy': 'default', 'InstanceCount': 1, 'InstanceType': 'm1.large', 'Start': datetime.datetime( 2011, 6, 5, 6, 20, 10, 494000, tzinfo=tzutc() ), 'RecurringCharges': [], 'End': get_future_date(), 'CurrencyCode': 'USD', 'OfferingType': 'Medium Utilization', 'ReservedInstancesId': '46a408c7-c33d-422d-af59-28df1223331f', 'FixedPrice': 910.0, 'AvailabilityZone': az, 'UsagePrice': 0.12, 'Duration': 31536000, 'State': 'active', } ri = accloudtant.aws.reserved_instance.ReservedInstance(ri_data) assert(ri.id == ri_data['ReservedInstancesId']) assert(ri.product_description == ri_data['ProductDescription']) assert(ri.instance_tenancy == ri_data['InstanceTenancy']) assert(ri.instance_count == ri_data['InstanceCount']) assert(ri.instance_type == ri_data['InstanceType']) assert(ri.start == ri_data['Start']) assert(ri.recurring_charges == ri_data['RecurringCharges']) assert(ri.end == ri_data['End']) assert(ri.currency_code == ri_data['CurrencyCode']) assert(ri.offering_type == ri_data['OfferingType']) assert(ri.fixed_price == ri_data['FixedPrice']) assert(ri.az == ri_data['AvailabilityZone']) assert(ri.usage_price == ri_data['UsagePrice']) assert(ri.duration == ri_data['Duration']) assert(ri.state == ri_data['State']) assert(ri.instances_left == ri_data['InstanceCount']) def test_ri_link(): az = 'us-east-1b' ri_data = { 'ProductDescription': 'Linux/UNIX', 'InstanceTenancy': 'default', 'InstanceCount': 1, 'InstanceType': 'm1.large', 'Start': datetime.datetime( 2015, 6, 5, 6, 20, 10, 494000, tzinfo=tzutc() ), 'RecurringCharges': [], 'End': get_future_date(), 'CurrencyCode': 'USD', 'OfferingType': 'Medium Utilization', 'ReservedInstancesId': '46a408c7-c33d-422d-af59-28df1223331f', 'FixedPrice': 910.0, 'AvailabilityZone': az, 'UsagePrice': 0.12, 'Duration': 31536000, 'State': 'active', } instance_data = { 'id': 'i-1840273e', 'tags': [{ 'Key': 'Name', 'Value': 'app1', }, ], 'instance_type': 'm1.large', 'placement': { 'AvailabilityZone': az, }, 'state': { 'Name': 'running', }, 'launch_time': datetime.datetime( 2015, 10, 22, 14, 15, 10, tzinfo=tzutc() ), 'console_output': {'Output': 'Linux', }, } ri = accloudtant.aws.reserved_instance.ReservedInstance(ri_data) instance = MockEC2Instance(instance_data) assert(ri.instances_left == 1) ri.link(instance) assert(ri.instances_left == 0)

31.439153

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0.561595

590

5,942

5.518644

0.279661

0.068182

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5,942

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null

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1

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1

0

1

0

null

0

5

0f9d587e328f25c29fbc798b96a5e0605fa4df05

47

py

Python

mu_code/image.py

guoxiaoyong/simple-useful

63f483250cc5e96ef112aac7499ab9e3a35572a8

[ "CC0-1.0" ]

null

mu_code/image.py

guoxiaoyong/simple-useful

63f483250cc5e96ef112aac7499ab9e3a35572a8

[ "CC0-1.0" ]

null

mu_code/image.py

guoxiaoyong/simple-useful

63f483250cc5e96ef112aac7499ab9e3a35572a8

[ "CC0-1.0" ]

null

from microbit import * display.show(Image.YES)

15.666667

23

0.787234

7

47

5.285714

1

0

0.106383

47

3

23

15.666667

0.880952

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

5

0f9ecd67f5677bc38d7354468208c7fcb4841843

93

py

Python

src/webui/backend/webui/api/__init__.py

sfc-gh-kmaurya/SnowAlert

8df0c9edde054463776fa58e88036ee2a783a41f

[ "Apache-2.0" ]

144

2018-05-14T18:04:16.000Z

2022-03-27T20:11:01.000Z

src/webui/backend/webui/api/__init__.py

sfc-gh-kmaurya/SnowAlert

8df0c9edde054463776fa58e88036ee2a783a41f

[ "Apache-2.0" ]

190

2019-01-09T01:00:30.000Z

2022-03-31T07:04:16.000Z

src/webui/backend/webui/api/__init__.py

isabella232/SnowAlert

85608343ac80bfcad69267e65eae5a21b9ad454d

[ "Apache-2.0" ]

72

2018-07-28T16:09:18.000Z

2022-03-19T06:01:25.000Z

from .data import data_api from .rules import rules_api __all__ = ['data_api', 'rules_api']

18.6

35

0.752688

15

93

4.133333

0.4

0.225806

0

0.139785

93

4

36

23.25

0.775

0

0.182796

0

1

0

false

0

0.666667

0

0.666667

0

1

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1

0

null

0

1

0

1

0

5

0f9ede78e7e2a1bffd546e2e26496ef580ec5cf0

259

py

Python

mayan/apps/rest_api/__init__.py

camerondphillips/MAYAN

b8cd44af50f0b2f2b59286d9c88e2f7aa573a93f

[ "Apache-2.0" ]

null

mayan/apps/rest_api/__init__.py

camerondphillips/MAYAN

b8cd44af50f0b2f2b59286d9c88e2f7aa573a93f

[ "Apache-2.0" ]

1

2022-03-12T01:03:39.000Z

mayan/apps/rest_api/__init__.py

camerondphillips/MAYAN

b8cd44af50f0b2f2b59286d9c88e2f7aa573a93f

[ "Apache-2.0" ]

null

from __future__ import unicode_literals from project_tools.api import register_tool from .classes import APIEndPoint from .links import link_api, link_api_documentation APIEndPoint('rest_api') register_tool(link_api) register_tool(link_api_documentation)

21.583333

51

0.861004

36

259

5.75

0.444444

0.135266

0.193237

0.183575

0.198068

0

0.092664

259

11

52

23.545455

0.880851

0

0.030888

0

1

0

true

0

0.571429

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

5

0fd7c92647f98fec702589dd0cf8232ef4b1f3e4

189

py

Python

Interview/roots_of_equation.py

dnootana/Python

2881bafe8bc378fa3cae50a747fcea1a55630c63

[ "MIT" ]

1

2021-02-19T11:00:11.000Z

Interview/roots_of_equation.py

dnootana/Python

2881bafe8bc378fa3cae50a747fcea1a55630c63

[ "MIT" ]

null

Interview/roots_of_equation.py

dnootana/Python

2881bafe8bc378fa3cae50a747fcea1a55630c63

[ "MIT" ]

null

N = 2 for i in range(1,N): for j in range(1,N): for k in range(1,N): for l in range(1,N): if i**3+j**3==k**3+l**3: print(i,j,k,l)

27

40

0.386243

40

189

1.825

0.325

0.383562

0.438356

0.493151

0

0.083333

0.428571

189

7

41

27

0.592593

0

1

0

false

0

0.142857

0

1

null

1

0

1

0

null

0

5

ba1f1bb21ef95555322c23fd76ab61207b07370a

374

py

Python

rlscore/measure/__init__.py

vishalbelsare/RLScore

713f0a402f7a09e41a609f2ddcaf849b2021a0a7

[ "MIT" ]

61

2015-03-06T08:48:01.000Z

2021-04-26T16:13:07.000Z

rlscore/measure/__init__.py

andrecamara/RLScore

713f0a402f7a09e41a609f2ddcaf849b2021a0a7

[ "MIT" ]

5

2016-09-08T15:47:00.000Z

2019-02-25T17:44:55.000Z

rlscore/measure/__init__.py

vishalbelsare/RLScore

713f0a402f7a09e41a609f2ddcaf849b2021a0a7

[ "MIT" ]

31

2015-01-28T15:05:33.000Z

2021-04-16T19:39:48.000Z

from .accuracy_measure import accuracy from .auc_measure import auc from .cindex_measure import cindex from .fscore_measure import fscore from .multi_accuracy_measure import ova_accuracy from .sq_mprank_measure import sqmprank from .sqerror_measure import sqerror from .spearman_measure import spearman try: from cindex_measure import cindex except Exception: pass

26.714286

48

0.842246

52

374

5.826923

0.346154

0.386139

0.138614

0.151815

0.191419

0

0.131016

374

13

49

28.769231

0.932308

0

1

0

true

0.083333

0.75

0

0.75

0

null

1

0

null

0

1

0

1

0

5

ba2ca3cc3b07e0cf81f279fb421bd3e0d654ae3c

15

py

Python

Lib/test/test_compiler/testcorpus/07_ifexpr.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

1,886

2021-05-03T23:58:43.000Z

2022-03-31T19:15:58.000Z

Lib/test/test_compiler/testcorpus/07_ifexpr.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

70

2021-05-04T23:25:35.000Z

2022-03-31T18:42:08.000Z

Lib/test/test_compiler/testcorpus/07_ifexpr.py

diogommartins/cinder

79103e9119cbecef3b085ccf2878f00c26e1d175

[ "CNRI-Python-GPL-Compatible" ]

52

2021-05-04T21:26:03.000Z

2022-03-08T18:02:56.000Z

a if b else c

5

13

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1

null

0

1

0

null

0

1

0

5

e83ede037cfb65e044a1841846c28443ff4d1e60

205

py

Python

python/kaitai/compress/lzma_raw.py

kaitaiStructCompile/kaitai_compress

2258028b30a422a5d37ba4fdb50da742dd895729

[ "MIT" ]

7

2018-11-12T08:37:11.000Z

2022-02-27T05:12:55.000Z

python/kaitai/compress/lzma_raw.py

kaitaiStructCompile/kaitai_compress

2258028b30a422a5d37ba4fdb50da742dd895729

[ "MIT" ]

9

2019-02-02T09:55:12.000Z

2021-10-09T12:17:32.000Z

python/kaitai/compress/lzma_raw.py

kaitaiStructCompile/kaitai_compress

2258028b30a422a5d37ba4fdb50da742dd895729

[ "MIT" ]

3

2018-07-15T19:43:27.000Z

2021-02-08T01:13:49.000Z

import lzma class LzmaRaw: def __init__(self): self.decompressor = lzma.LZMADecompressor(format=lzma.FORMAT_RAW) def decode(self, data): return self.decompressor.decompress(data)

22.777778

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5.875

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8

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0

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null

0

1

0

1

0

5

e861a4802716a55b908b6c985b17aa070fd9c311

100

py

Python

movies_api/admin.py

umatbro/movies-db

7935b9ff52b4a1da1b8a798a64bdc31e52f9698e

[ "MIT" ]

null

movies_api/admin.py

umatbro/movies-db

7935b9ff52b4a1da1b8a798a64bdc31e52f9698e

[ "MIT" ]

17

2019-03-16T13:30:12.000Z

2020-06-05T20:04:22.000Z

movies_api/admin.py

umatbro/movies-db

7935b9ff52b4a1da1b8a798a64bdc31e52f9698e

[ "MIT" ]

null

from django.contrib import admin from movies_api import models admin.site.register(models.Movie)

14.285714

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15

100

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0.12

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0

null

0

1

0

1

0

1

0

5

e86f60add53db641687a44be88b99b95e87079ad

56

py

Python

hsi_toolkit/spectral_indices/__init__.py

nfahlgren/hsi_toolkit_py

3a03c58bbeaf7b323fa345a22531fa00c56e68b6

[ "MIT" ]

22

2019-02-07T03:55:37.000Z

2021-09-26T06:47:07.000Z

hsi_toolkit/spectral_indices/__init__.py

nfahlgren/hsi_toolkit_py

3a03c58bbeaf7b323fa345a22531fa00c56e68b6

[ "MIT" ]

2

2020-04-14T18:21:23.000Z

2020-11-11T08:07:38.000Z

hsi_toolkit/spectral_indices/__init__.py

nfahlgren/hsi_toolkit_py

3a03c58bbeaf7b323fa345a22531fa00c56e68b6

[ "MIT" ]

15

2019-02-07T03:56:59.000Z

2022-02-24T07:42:57.000Z

from hsi_toolkit.spectral_indices.utilities_VI import *

28

55

0.875

8

56

5.75

1

0

0.071429

56

1

56

0.884615

0

1

0

true

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1

0

null

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null

0

1

0

1

0

1

0

5

e8bde1013f3bca1c619c7b662b90f820b3e834e7

38

py

Python

navmplot/__init__.py

yycen/navmplot

5d3c749ca35eecda8455fbd5c1db529a1bb115b1

[ "MIT" ]

null

navmplot/__init__.py

yycen/navmplot

5d3c749ca35eecda8455fbd5c1db529a1bb115b1

[ "MIT" ]

null

navmplot/__init__.py

yycen/navmplot

5d3c749ca35eecda8455fbd5c1db529a1bb115b1

[ "MIT" ]

null

from .navmplot import NaverMapPlotter

19

37

0.868421

4

38

8.25

1

0

0.105263

38

1

38

0.970588

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1

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true

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1

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null

0

1

0

null

0

1

0

1

0

5

e8d0c6f8705c56a61a471071c9667c81854fb545

205

py

Python

lingcod/data_distributor/admin_urls.py

google-code-export/marinemap

b7d58db11720637845b6a83bf70435c32c5af531

[ "BSD-3-Clause" ]

3

2017-06-09T20:44:58.000Z

2017-12-26T12:09:21.000Z

lingcod/data_distributor/admin_urls.py

underbluewaters/marinemap

c001e16615caa2178c65ca0684e1b6fd56d3f93d

[ "BSD-3-Clause" ]

null

lingcod/data_distributor/admin_urls.py

underbluewaters/marinemap

c001e16615caa2178c65ca0684e1b6fd56d3f93d

[ "BSD-3-Clause" ]

3

2016-11-30T13:41:56.000Z

2019-05-07T17:07:12.000Z

from django.conf.urls.defaults import * from views import * urlpatterns = patterns('', url(r'^potentialtargets/load_potential_targets', load_potential_targets_view, name='load_potential_targets'), )

34.166667

113

0.785366

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205

6.16

0.68

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0

0.102439

205

6

114

34.166667

0.836957

0

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null

1

0

1

0

null

0

1

0

5

fa18212c253ecdb1eb0403df57b0fc4a96365497

4,367

py

Python

discord/ext/appcommands/builder.py

jnsougata/discord.py

ff204cd71a9c2fbdc12741bae4b32cda198b88d7

[ "MIT" ]

null

discord/ext/appcommands/builder.py

jnsougata/discord.py

ff204cd71a9c2fbdc12741bae4b32cda198b88d7

[ "MIT" ]

null

discord/ext/appcommands/builder.py

jnsougata/discord.py

ff204cd71a9c2fbdc12741bae4b32cda198b88d7

[ "MIT" ]

null

from typing import Any class _Option: data: Any class Choice: def __init__(self, name: str, value: Any): self.data = { "name": name, "value": value } class StrOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 3, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class IntOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 4, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class BoolOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 5, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class UserOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 6, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class ChannelOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 7, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class RoleOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 8, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class MentionableOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 9, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class NumberOption(_Option): def __init__(self, name: str, description: str, required: bool = False, choices: list[Choice] = None): self.data = { "name": name, "description": description, "type": 10, "required": required, "choices": [choice.data for choice in choices] if choices else [] } class SlashCommand: def __init__(self, name: str, description: str, options: list[_Option] = None): self.name = name self.description = description self._payload = { "name": name, "description": description, "type": 1, "options": [option.data for option in options] if options else [] } @staticmethod def subcommand(name: str, description: str, options: list): return { "name": name, "description": description, "type": 1, "options": options } @staticmethod def subcommand_group(name: str, description: str, options: list): return { "name": name, "description": description, "type": 2, "options": options } @staticmethod def create_subcommand(name: str, description: str): return { "name": name, "description": description, "type": 1, } @staticmethod def set_choice(name: str, value): return {"name": name, "value": value} @property def to_dict(self): return self._payload

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null

0

1

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null

0

5

fa4b29d441d1497a8e5b019388da40070c6158fb

37

py

Python

mopyx/proxy_dict.py

yxlwfds/mopyx

e4a2180a4307fb25749c5df5a7a35f151dc597d4

[ "BSD-3-Clause" ]

26

2019-01-28T22:45:14.000Z

2022-03-28T16:34:32.000Z

mopyx/proxy_dict.py

yxlwfds/mopyx

e4a2180a4307fb25749c5df5a7a35f151dc597d4

[ "BSD-3-Clause" ]

2

2018-11-23T03:48:00.000Z

2021-04-06T09:58:39.000Z

mopyx/proxy_dict.py

yxlwfds/mopyx

e4a2180a4307fb25749c5df5a7a35f151dc597d4

[ "BSD-3-Clause" ]

3

2020-09-07T23:39:07.000Z

2021-12-30T15:07:55.000Z

class DictModelProxy(dict): pass

12.333333

27

0.72973

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6.75

1

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2

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18.5

0.9

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true

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null

0

1

0

null

0

1

0

5

fa5a72fc8a472686aea945a00251937e40e2d262

45

py

Python

library/lib_study/135_mm_sunau.py

gottaegbert/penter

8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d

[ "MIT" ]

13

2020-01-04T07:37:38.000Z

2021-08-31T05:19:58.000Z

library/lib_study/135_mm_sunau.py

gottaegbert/penter

8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d

[ "MIT" ]

3

2020-06-05T22:42:53.000Z

2020-08-24T07:18:54.000Z

library/lib_study/135_mm_sunau.py

gottaegbert/penter

8cbb6be3c4bf67c7c69fa70e597bfbc3be4f0a2d

[ "MIT" ]

9

2020-10-19T04:53:06.000Z

2021-08-31T05:20:01.000Z

import sunau # 读写 Sun AU 文件 .au sunau.open()

15

19

0.688889

9

45

3.444444

0.777778

0

0.2

45

3

20

15

0.861111

0.377778

0

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0

true

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null

0

1

0

null

0

1

0

1

0

5

fa5bb1c0bdfe8b730b8ca345ee6cf199e3d05f35

100

py

Python

docs/lectures/lecture09/notebook/randomuniverse.py

hoanglinh171/2020-CS109A

a02dc4f22cb1fa2a9b8453a2831da20655d6c449

[ "MIT" ]

81

2020-08-17T10:18:50.000Z

2022-03-14T00:10:17.000Z

docs/lectures/lecture09/notebook/randomuniverse.py

SBalas/2020-CS109A

3eb01ac57adbef09c7dbb10eda7408dd4545b3f7

[ "MIT" ]

1

2022-02-09T06:15:51.000Z

2022-02-09T12:42:44.000Z

docs/lectures/lecture09/notebook/randomuniverse.py

SBalas/2020-CS109A

3eb01ac57adbef09c7dbb10eda7408dd4545b3f7

[ "MIT" ]

95

2020-08-29T22:49:34.000Z

2022-03-25T18:36:13.000Z

def RandomUniverse(df): df_bootstrap = df.sample(len(df), replace=True) return df_bootstrap

25

51

0.73

14

100

5.071429

0.642857

0.309859

0

0.16

100

3

52

33.333333

0.845238

0

1

0.333333

false

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

3afe68e3d6e04c6f3434a1baf5672a50c3fea86e

94

py

Python

ding/interaction/tests/interaction/__init__.py

sailxjx/DI-engine

c6763f8e2ba885a2a02f611195a1b5f8b50bff00

[ "Apache-2.0" ]

464

2021-07-08T07:26:33.000Z

2022-03-31T12:35:16.000Z

ding/interaction/tests/interaction/__init__.py

sailxjx/DI-engine

c6763f8e2ba885a2a02f611195a1b5f8b50bff00

[ "Apache-2.0" ]

177

2021-07-09T08:22:55.000Z

2022-03-31T07:35:22.000Z

ding/interaction/tests/interaction/__init__.py

sailxjx/DI-engine

c6763f8e2ba885a2a02f611195a1b5f8b50bff00

[ "Apache-2.0" ]

92

2021-07-08T12:16:37.000Z

2022-03-31T09:24:41.000Z

from .test_errors import TestInteractionErrors from .test_simple import TestInteractionSimple

31.333333

46

0.893617

10

94

8.2

0.7

0.195122

0

0.085106

94

2

47

0.953488

0

1

0

true

0

1

0

1

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1

0

1

0

1

0

5

d75c1b1e5e0790ecdb85af9f6b7c1e017df0293c

20

py

Python

pythonmap/__init__.py

shakedzy/python_map

e8d1c58a8820e75936565fef62c6b335ff493230

[ "MIT" ]

126

2015-12-31T17:31:40.000Z

2020-01-21T19:45:27.000Z

PathPlanning/map/__init__.py

curiousTauseef/SmoothPathPlanningFramework

5b59bf302013e6dca6f3896288b1d16568e8a1a3

[ "MIT" ]

7

2016-01-01T17:10:02.000Z

2018-08-09T08:16:19.000Z

PathPlanning/map/__init__.py

curiousTauseef/SmoothPathPlanningFramework

5b59bf302013e6dca6f3896288b1d16568e8a1a3

[ "MIT" ]

14

2015-12-31T21:49:29.000Z

2017-09-13T06:19:32.000Z

from .map import Map

20

0.8

4

20

4

0.75

0

0.15

20

1

20

0.941176

0

1

0

true

0

1

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1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

d77a18642dba5bda2eb3388d3e8c8695f9f6a1f5

408

py

Python

modules/menus/menus.py

Epersonf/KeplerMotionPathAddon

f2e9b2c51402afb0cccbfca8b82b7100b0fc2fa6

[ "MIT" ]

2

2020-10-23T21:58:56.000Z

2021-12-08T16:07:11.000Z

modules/menus/menus.py

Epersonf/KeplerMotionPathAddon

f2e9b2c51402afb0cccbfca8b82b7100b0fc2fa6

[ "MIT" ]

null

modules/menus/menus.py

Epersonf/KeplerMotionPathAddon

f2e9b2c51402afb0cccbfca8b82b7100b0fc2fa6

[ "MIT" ]

null

import bpy from .actions.create_ellipse import register as registerCreateEllipse, unregister as unregisterCreateEllipse from .actions.move_through_ellipse import register as registerMoveThroughEllipse, unregister as unregisterMoveThroughEllipse def register(): registerCreateEllipse() registerMoveThroughEllipse() def unregister(): unregisterCreateEllipse() unregisterMoveThroughEllipse()

31.384615

124

0.835784

33

408

10.242424

0.484848

0.065089

0.12426

0.136095

0

0.115196

408

12

125

34

0.936288

0

1

0.222222

true

0

0.333333

0

0.555556

0

1

null

0

null

0

1

0

1

0

1

0

5

d79211932bbb090451b94948878aef7aec376d6c

180

py

Python

src/tools/converters/lib/BCBio/GFF/__init__.py

uct-cbio/galaxy-tools

b9422088dc41099fdde1edaf9c014825c8ee1cbf

[ "MIT" ]

null

src/tools/converters/lib/BCBio/GFF/__init__.py

uct-cbio/galaxy-tools

b9422088dc41099fdde1edaf9c014825c8ee1cbf

[ "MIT" ]

null

src/tools/converters/lib/BCBio/GFF/__init__.py

uct-cbio/galaxy-tools

b9422088dc41099fdde1edaf9c014825c8ee1cbf

[ "MIT" ]

null

"""Top level of GFF parsing providing shortcuts for useful classes. """ from GFFParser import GFFParser, DiscoGFFParser, GFFExaminer, parse from GFFOutput import GFF3Writer, write

36

67

0.811111

22

180

6.636364

0.863636

0

0.006369

0.127778

180

4

68

45

0.923567

0.355556

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

ad526259d9a23829531a71f90d0f7125376eec5e

96

py

Python

playground/nicks/db/utils.py

mads-swaps/swap-for-profit

543fe8f5b0a990423f3373f29653d57775ea4c25

[ "MIT" ]

2

2021-12-16T15:15:58.000Z

2021-12-30T06:10:25.000Z

playground/nicks/db/utils.py

mads-swaps/swap-for-profit

543fe8f5b0a990423f3373f29653d57775ea4c25

[ "MIT" ]

null

playground/nicks/db/utils.py

mads-swaps/swap-for-profit

543fe8f5b0a990423f3373f29653d57775ea4c25

[ "MIT" ]

null

import pandas as pd import matplotlib.pyplot as plt import mplfinance as mpf import numpy as np

19.2

31

0.822917

17

96

4.647059

0.647059

0

0.166667

96

4

32

24

0.9875

0

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0

true

0

1

0

1

0

1

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0

1

0

1

0

1

0

5

ad5bb69b9e8c6cd52d1e28cc8c5a7e9e11738a50

6,836

py

Python

tests/test_api_sections.py

DMcP89/todoist-api-python

89b601b8edad47bc999cd7b2ab36c5e2a9f8cd8a

[ "MIT" ]

24

2021-12-07T18:37:29.000Z

2022-03-31T23:09:48.000Z

tests/test_api_sections.py

DMcP89/todoist-api-python

89b601b8edad47bc999cd7b2ab36c5e2a9f8cd8a

[ "MIT" ]

15

2021-12-01T14:07:25.000Z

2022-03-15T23:19:30.000Z

tests/test_api_sections.py

sadikkuzu/todoist-api-python

75db44ad76a210ff4d7a3d5726d0f0ad3389f16e

[ "MIT" ]

3

2021-12-08T22:19:12.000Z

2022-02-18T06:36:40.000Z

import json import typing from typing import Any, Dict, List import pytest import responses from tests.data.test_defaults import ( DEFAULT_REQUEST_ID, INVALID_ENTITY_ID, REST_API_BASE_URL, ) from tests.utils.test_utils import ( assert_auth_header, assert_id_validation, assert_request_id_header, ) from todoist_api_python.api import TodoistAPI from todoist_api_python.api_async import TodoistAPIAsync from todoist_api_python.models import Section @pytest.mark.asyncio async def test_get_section( todoist_api: TodoistAPI, todoist_api_async: TodoistAPIAsync, requests_mock: responses.RequestsMock, default_section_response: Dict[str, Any], default_section: Section, ): section_id = 1234 expected_endpoint = f"{REST_API_BASE_URL}/sections/{section_id}" requests_mock.add( responses.GET, expected_endpoint, json=default_section_response, status=200, ) section = todoist_api.get_section(section_id) assert len(requests_mock.calls) == 1 assert_auth_header(requests_mock.calls[0].request) assert section == default_section section = await todoist_api_async.get_section(section_id) assert len(requests_mock.calls) == 2 assert_auth_header(requests_mock.calls[1].request) assert section == default_section @typing.no_type_check def test_get_section_invalid_id( todoist_api: TodoistAPI, requests_mock: responses.RequestsMock, ): assert_id_validation( lambda: todoist_api.get_section(INVALID_ENTITY_ID), requests_mock, ) @pytest.mark.asyncio async def test_get_all_sections( todoist_api: TodoistAPI, todoist_api_async: TodoistAPIAsync, requests_mock: responses.RequestsMock, default_sections_response: List[Dict[str, Any]], default_sections_list: List[Section], ): requests_mock.add( responses.GET, f"{REST_API_BASE_URL}/sections", json=default_sections_response, status=200, ) sections = todoist_api.get_sections() assert len(requests_mock.calls) == 1 assert_auth_header(requests_mock.calls[0].request) assert sections == default_sections_list sections = await todoist_api_async.get_sections() assert len(requests_mock.calls) == 2 assert_auth_header(requests_mock.calls[1].request) assert sections == default_sections_list @pytest.mark.asyncio async def test_get_project_sections( todoist_api: TodoistAPI, todoist_api_async: TodoistAPIAsync, requests_mock: responses.RequestsMock, default_sections_response: List[Dict[str, Any]], ): project_id = 123 requests_mock.add( responses.GET, f"{REST_API_BASE_URL}/sections?project_id={project_id}", json=default_sections_response, status=200, ) todoist_api.get_sections(project_id=project_id) await todoist_api_async.get_sections(project_id=project_id) assert len(requests_mock.calls) == 2 @pytest.mark.asyncio async def test_add_section( todoist_api: TodoistAPI, todoist_api_async: TodoistAPIAsync, requests_mock: responses.RequestsMock, default_section_response: Dict[str, Any], default_section: Section, ): section_name = "A Section" project_id = 123 order = 3 expected_payload: Dict[str, Any] = { "name": section_name, "project_id": project_id, "order": order, } requests_mock.add( responses.POST, f"{REST_API_BASE_URL}/sections", json=default_section_response, status=200, ) new_section = todoist_api.add_section( name=section_name, project_id=project_id, order=order, request_id=DEFAULT_REQUEST_ID, ) assert len(requests_mock.calls) == 1 assert_auth_header(requests_mock.calls[0].request) assert_request_id_header(requests_mock.calls[0].request) assert requests_mock.calls[0].request.body == json.dumps(expected_payload) assert new_section == default_section new_section = await todoist_api_async.add_section( name=section_name, project_id=project_id, order=order, request_id=DEFAULT_REQUEST_ID, ) assert len(requests_mock.calls) == 2 assert_auth_header(requests_mock.calls[1].request) assert_request_id_header(requests_mock.calls[1].request) assert requests_mock.calls[1].request.body == json.dumps(expected_payload) assert new_section == default_section @pytest.mark.asyncio async def test_update_section( todoist_api: TodoistAPI, todoist_api_async: TodoistAPIAsync, requests_mock: responses.RequestsMock, ): section_id = 123 args = { "name": "An updated section", } requests_mock.add( responses.POST, f"{REST_API_BASE_URL}/sections/{section_id}", status=204 ) response = todoist_api.update_section( section_id=section_id, request_id=DEFAULT_REQUEST_ID, **args ) assert len(requests_mock.calls) == 1 assert_auth_header(requests_mock.calls[0].request) assert_request_id_header(requests_mock.calls[0].request) assert requests_mock.calls[0].request.body == json.dumps(args) assert response is True response = await todoist_api_async.update_section( section_id=section_id, request_id=DEFAULT_REQUEST_ID, **args ) assert len(requests_mock.calls) == 2 assert_auth_header(requests_mock.calls[1].request) assert_request_id_header(requests_mock.calls[1].request) assert requests_mock.calls[1].request.body == json.dumps(args) assert response is True @typing.no_type_check def test_update_section_invalid_id( todoist_api: TodoistAPI, requests_mock: responses.RequestsMock, ): assert_id_validation( lambda: todoist_api.update_section(INVALID_ENTITY_ID, "an update"), requests_mock, ) @pytest.mark.asyncio async def test_delete_section( todoist_api: TodoistAPI, todoist_api_async: TodoistAPIAsync, requests_mock: responses.RequestsMock, ): section_id = 1234 expected_endpoint = f"{REST_API_BASE_URL}/sections/{section_id}" requests_mock.add( responses.DELETE, expected_endpoint, status=204, ) response = todoist_api.delete_section(section_id) assert len(requests_mock.calls) == 1 assert_auth_header(requests_mock.calls[0].request) assert response is True response = await todoist_api_async.delete_section(section_id) assert len(requests_mock.calls) == 2 assert_auth_header(requests_mock.calls[1].request) assert response is True @typing.no_type_check def test_delete_section_invalid_id( todoist_api: TodoistAPI, requests_mock: responses.RequestsMock, ): assert_id_validation( lambda: todoist_api.delete_section(INVALID_ENTITY_ID), requests_mock, )

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0

1

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null

0

5

ad6cc92f3d60cc7a4303ac80672d490999782fac

17

py

Python

Practice.py

MoriSheldon/Phython

8cb0916321784b9c9932ecb7945621a73a695056

[ "MIT" ]

null

Practice.py

MoriSheldon/Phython

8cb0916321784b9c9932ecb7945621a73a695056

[ "MIT" ]

null

Practice.py

MoriSheldon/Phython

8cb0916321784b9c9932ecb7945621a73a695056

[ "MIT" ]

null

print('Practice')

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5

ad88b24692aae7504ebf58dad3f5adfd1ec5a529

4,770

py

Python

z2/part2/interactive/jm/random_fuzzy_arrows_1/226918488.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

1

2020-04-16T12:13:47.000Z

z2/part2/interactive/jm/random_fuzzy_arrows_1/226918488.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:50:15.000Z

2020-05-19T14:58:30.000Z

z2/part2/interactive/jm/random_fuzzy_arrows_1/226918488.py

kozakusek/ipp-2020-testy

09aa008fa53d159672cc7cbf969a6b237e15a7b8

[ "MIT" ]

18

2020-03-06T17:45:13.000Z

2020-06-09T19:18:31.000Z

from part1 import ( gamma_board, gamma_busy_fields, gamma_delete, gamma_free_fields, gamma_golden_move, gamma_golden_possible, gamma_move, gamma_new, ) """ scenario: test_random_actions uuid: 226918488 """ """ random actions, total chaos """ board = gamma_new(4, 7, 5, 5) assert board is not None assert gamma_move(board, 1, 1, 0) == 1 assert gamma_move(board, 2, 4, 2) == 0 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 4, 2) == 0 assert gamma_move(board, 3, 2, 6) == 1 assert gamma_move(board, 4, 2, 0) == 1 assert gamma_move(board, 5, 6, 0) == 0 assert gamma_move(board, 5, 2, 5) == 1 assert gamma_move(board, 1, 0, 0) == 1 assert gamma_move(board, 2, 1, 2) == 1 assert gamma_move(board, 2, 2, 5) == 0 assert gamma_move(board, 3, 0, 4) == 1 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 3, 3) == 1 assert gamma_free_fields(board, 4) == 20 assert gamma_move(board, 5, 2, 3) == 1 assert gamma_move(board, 5, 3, 3) == 0 assert gamma_move(board, 1, 2, 2) == 1 assert gamma_move(board, 1, 1, 6) == 1 assert gamma_move(board, 2, 2, 5) == 0 assert gamma_free_fields(board, 3) == 17 board602611692 = gamma_board(board) assert board602611692 is not None assert board602611692 == (".13.\n" "..5.\n" "3...\n" "..54\n" ".21.\n" "....\n" "114.\n") del board602611692 board602611692 = None assert gamma_move(board, 5, 4, 1) == 0 assert gamma_free_fields(board, 5) == 17 assert gamma_golden_possible(board, 5) == 1 assert gamma_move(board, 1, 3, 0) == 1 assert gamma_move(board, 2, 1, 2) == 0 assert gamma_move(board, 2, 3, 6) == 1 assert gamma_move(board, 3, 5, 3) == 0 assert gamma_move(board, 3, 3, 6) == 0 assert gamma_move(board, 4, 1, 0) == 0 assert gamma_free_fields(board, 4) == 15 assert gamma_move(board, 5, 4, 1) == 0 assert gamma_move(board, 5, 1, 0) == 0 assert gamma_move(board, 1, 3, 4) == 1 assert gamma_move(board, 2, 5, 0) == 0 assert gamma_golden_possible(board, 2) == 1 assert gamma_move(board, 3, 1, 0) == 0 assert gamma_move(board, 3, 2, 6) == 0 assert gamma_move(board, 4, 3, 5) == 1 assert gamma_move(board, 5, 2, 6) == 0 assert gamma_move(board, 1, 2, 0) == 0 assert gamma_move(board, 2, 2, 5) == 0 assert gamma_move(board, 3, 3, 0) == 0 assert gamma_move(board, 3, 2, 4) == 1 board398567841 = gamma_board(board) assert board398567841 is not None assert board398567841 == (".132\n" "..54\n" "3.31\n" "..54\n" ".21.\n" "....\n" "1141\n") del board398567841 board398567841 = None assert gamma_move(board, 4, 3, 0) == 0 assert gamma_move(board, 4, 2, 6) == 0 assert gamma_golden_possible(board, 4) == 1 assert gamma_move(board, 5, 2, 3) == 0 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_move(board, 1, 2, 0) == 0 assert gamma_move(board, 2, 1, 3) == 1 assert gamma_move(board, 3, 4, 1) == 0 assert gamma_move(board, 3, 2, 2) == 0 assert gamma_move(board, 4, 2, 3) == 0 assert gamma_move(board, 5, 0, 0) == 0 assert gamma_move(board, 5, 0, 0) == 0 assert gamma_move(board, 1, 3, 0) == 0 assert gamma_move(board, 1, 2, 3) == 0 assert gamma_move(board, 2, 4, 1) == 0 assert gamma_move(board, 2, 3, 3) == 0 assert gamma_move(board, 3, 0, 4) == 0 assert gamma_move(board, 3, 3, 4) == 0 assert gamma_move(board, 4, 1, 3) == 0 assert gamma_busy_fields(board, 4) == 3 assert gamma_move(board, 5, 2, 3) == 0 assert gamma_move(board, 5, 2, 1) == 1 assert gamma_busy_fields(board, 5) == 3 assert gamma_move(board, 1, 4, 1) == 0 assert gamma_move(board, 2, 1, 1) == 1 assert gamma_move(board, 3, 0, 4) == 0 assert gamma_move(board, 3, 2, 3) == 0 assert gamma_move(board, 4, 2, 2) == 0 assert gamma_move(board, 5, 2, 0) == 0 assert gamma_move(board, 5, 0, 6) == 1 board982677401 = gamma_board(board) assert board982677401 is not None assert board982677401 == ("5132\n" "..54\n" "3.31\n" ".254\n" ".21.\n" ".25.\n" "1141\n") del board982677401 board982677401 = None assert gamma_move(board, 1, 5, 1) == 0 assert gamma_move(board, 1, 1, 0) == 0 assert gamma_move(board, 2, 1, 3) == 0 assert gamma_move(board, 3, 1, 0) == 0 assert gamma_free_fields(board, 3) == 8 assert gamma_move(board, 4, 5, 1) == 0 assert gamma_move(board, 5, 1, 0) == 0 assert gamma_move(board, 1, 1, 3) == 0 assert gamma_golden_possible(board, 1) == 1 assert gamma_move(board, 2, 3, 0) == 0 assert gamma_move(board, 2, 0, 3) == 1 assert gamma_move(board, 3, 2, 2) == 0 assert gamma_move(board, 3, 0, 4) == 0 assert gamma_free_fields(board, 3) == 7 assert gamma_golden_possible(board, 3) == 1 assert gamma_move(board, 4, 5, 1) == 0 assert gamma_move(board, 5, 0, 0) == 0 assert gamma_move(board, 5, 0, 2) == 1 assert gamma_move(board, 1, 1, 0) == 0 assert gamma_move(board, 1, 2, 2) == 0 gamma_delete(board)

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1

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null

0

1

0

5

ad9020502a461683c9f44869d0bda14d4e64f16b

137

py

Python

tests/test_vlan/__init__.py

mteter-upenn/bacpypes

88623988103a48a3f5c8dfd0eb0ca7ffa0bd82b6

[ "MIT" ]

null

tests/test_vlan/__init__.py

mteter-upenn/bacpypes

88623988103a48a3f5c8dfd0eb0ca7ffa0bd82b6

[ "MIT" ]

null

tests/test_vlan/__init__.py

mteter-upenn/bacpypes

88623988103a48a3f5c8dfd0eb0ca7ffa0bd82b6

[ "MIT" ]

null

#!/usr/bin/python """ Test VLAN Networking -------------------- This module tests the VLAN networking. """ from . import test_network

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1

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5

ad91dfcc35f4d348cdb449c40c121b639c510816

117

py

Python

swmclient/generated/__init__.py

skyworkflows/swm-python-client

674979af3d671d27561d651b41682b0e58ff4220

[ "BSD-3-Clause" ]

1

2021-11-06T12:19:03.000Z

swmclient/generated/__init__.py

skyworkflows/swm-python-client

674979af3d671d27561d651b41682b0e58ff4220

[ "BSD-3-Clause" ]

null

swmclient/generated/__init__.py

skyworkflows/swm-python-client

674979af3d671d27561d651b41682b0e58ff4220

[ "BSD-3-Clause" ]

null

""" A client library for accessing Sky Port core daemon user API """ from .client import AuthenticatedClient, Client

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1

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1

0

1

0

5

a8ebaa711746afe8b31326ca105548edbae6e8cb

77

py

Python

src/procedures/sounds/__init__.py

developomp/osu-pomp-skin

e44b981f768ea7452cf4bf1bcdcbe44ea844a30c

[ "MIT" ]

null

src/procedures/sounds/__init__.py

developomp/osu-pomp-skin

e44b981f768ea7452cf4bf1bcdcbe44ea844a30c

[ "MIT" ]

1

2022-03-11T09:16:20.000Z

src/procedures/sounds/__init__.py

developomp/osu-pomp-skin

e44b981f768ea7452cf4bf1bcdcbe44ea844a30c

[ "MIT" ]

null

from helper import copy_all # # main # copy_all("src/procedures/sounds/*")

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null

0

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1

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5

a8fc99c34f573ddd65d8ed6ff3a32f39e4f12368

370

py

Python

ChineseChef.py

samratb2002/Basics-of-Python

499124ebba1fe40786aff3dd0a4d05a6b3007d6c

[ "Unlicense" ]

1

2022-01-21T14:54:47.000Z

ChineseChef.py

samratb2002/Basics-of-Python

499124ebba1fe40786aff3dd0a4d05a6b3007d6c

[ "Unlicense" ]

null

ChineseChef.py

samratb2002/Basics-of-Python

499124ebba1fe40786aff3dd0a4d05a6b3007d6c

[ "Unlicense" ]

null

#!/usr/bin/env python # coding: utf-8 # In[3]: class ChineseChef: def make_chicken(self): print("The Chef makes Chicken") def make_salad(self): print("The Chef Makes Salad") def make_special_dish(self): print("The Chef makes Orange Chicken") def make_fried_rice(self): print("The Chef maked Fried Rice") # In[ ]:

16.086957

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null

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1

0

1

0

5

d118fbd2910b6ba27d79c701d92828674dfd09ac

173

py

Python

Programs/listComprehensions/evenNumbers.py

LuciKritZ/python

ed5500f5aad3cb15354ca5ebf71748029fc6ae77

[ "MIT" ]

null

Programs/listComprehensions/evenNumbers.py

LuciKritZ/python

ed5500f5aad3cb15354ca5ebf71748029fc6ae77

[ "MIT" ]

null

Programs/listComprehensions/evenNumbers.py

LuciKritZ/python

ed5500f5aad3cb15354ca5ebf71748029fc6ae77

[ "MIT" ]

null

# Using third argument in range lst = [x for x in range(2,21,2)] print(lst) # Without using third argument in range lst1 = [x for x in range(1,21) if(x%2 == 0)] print(lst1)

24.714286

44

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36

173

3.25

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173

7

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1

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null

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5

d139e80f9f20550537b79888653938459e3d2772

133

py

Python

__init__.py

scholi/pyOmicron

0cbfe5b3b79a2f3684f90b6c34aabe96bab612e5

[ "Apache-2.0" ]

5

2015-12-08T21:00:18.000Z

2021-03-17T18:13:52.000Z

__init__.py

scholi/pyOmicron

0cbfe5b3b79a2f3684f90b6c34aabe96bab612e5

[ "Apache-2.0" ]

2

2019-02-27T11:53:09.000Z

2020-12-04T15:42:01.000Z

__init__.py

scholi/pyOmicron

0cbfe5b3b79a2f3684f90b6c34aabe96bab612e5

[ "Apache-2.0" ]

3

2018-03-22T13:28:10.000Z

2021-06-02T17:09:36.000Z

import pyOmicron from pyOmicron.pyOmicron import Matrix from pyOmicron.STS import STS __all__=["pyOmicron","STS"] __version__ = 0.1

19

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null

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1

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5

d14f16896be20aa6c8c593353e6ae218c7e4e710

738

py

Python

src/pandas_profiling/report/presentation/core/__init__.py

damirazo/pandas-profiling

e436694befc25463073652b4abddc9b9537a555d

[ "MIT" ]

2

2020-01-30T15:01:18.000Z

2020-01-30T15:01:19.000Z

src/pandas_profiling/report/presentation/core/__init__.py

damirazo/pandas-profiling

e436694befc25463073652b4abddc9b9537a555d

[ "MIT" ]

null

src/pandas_profiling/report/presentation/core/__init__.py

damirazo/pandas-profiling

e436694befc25463073652b4abddc9b9537a555d

[ "MIT" ]

null

from pandas_profiling.report.presentation.core.frequency_table import FrequencyTable from pandas_profiling.report.presentation.core.frequency_table_small import ( FrequencyTableSmall, ) from pandas_profiling.report.presentation.core.html import HTML from pandas_profiling.report.presentation.core.sequence import Sequence from pandas_profiling.report.presentation.core.image import Image from pandas_profiling.report.presentation.core.preview import Preview from pandas_profiling.report.presentation.core.table import Table from pandas_profiling.report.presentation.core.overview import Overview from pandas_profiling.report.presentation.core.dataset import Dataset from pandas_profiling.report.presentation.core.sample import Sample

56.769231

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1

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1

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1

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5

d16bbca344172994197586753bd056b96a89b5c6

128

py

Python

dbgr/__init__.py

JakubTesarek/dbgr

fc55cee5d5a69f3fa691579bc7d2627f51cbca03

[ "Apache-2.0" ]

8

2019-05-23T19:45:46.000Z

2021-02-08T17:21:21.000Z

dbgr/__init__.py

JakubTesarek/dbgr

fc55cee5d5a69f3fa691579bc7d2627f51cbca03

[ "Apache-2.0" ]

86

2019-05-13T14:20:20.000Z

2019-06-19T11:48:59.000Z

dbgr/__init__.py

JakubTesarek/dbgr

fc55cee5d5a69f3fa691579bc7d2627f51cbca03

[ "Apache-2.0" ]

1

2021-02-08T17:21:22.000Z

from dbgr.requests import request_decorator as request, execute_request as response from dbgr.types import SecretType as secret

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66fa4355c22495aab9b5c02d9a7d3bd5d2e70e6b

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py

Python

Introduction to Information Technology/Weekly Tutorials/Week_3.py

johnsons-ux/100-days-of-python

59f8f5b1be85542306103df44383423b00e48931

[ "CC0-1.0" ]

1

2022-03-12T07:17:56.000Z

Introduction to Information Technology/Weekly Tutorials/Week_3.py

johnsons-ux/100-days-of-python

59f8f5b1be85542306103df44383423b00e48931

[ "CC0-1.0" ]

null

Introduction to Information Technology/Weekly Tutorials/Week_3.py

johnsons-ux/100-days-of-python

59f8f5b1be85542306103df44383423b00e48931

[ "CC0-1.0" ]

null

# 1. Write a line of Python code that displays the sum of 468 + 751 print(0.7 * (220-33) +0.3 * 55) print(0.8 * (225-33) +0.35 * 55)

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0f240c2459148cf4c3e8aaaae1037e858ee7f424

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py

Python

end_to_end_tests/golden-record/my_test_api_client/__init__.py

oterrier/openapi-python-client

ca8acdbe34b11584143b78afc130684f0690d5bf

[ "MIT" ]

172

2020-02-15T20:14:16.000Z

2021-06-09T07:09:15.000Z

end_to_end_tests/golden-record/my_test_api_client/__init__.py

oterrier/openapi-python-client

ca8acdbe34b11584143b78afc130684f0690d5bf

[ "MIT" ]

410

2020-02-15T19:39:29.000Z

2021-06-09T19:28:57.000Z

end_to_end_tests/golden-record/my_test_api_client/__init__.py

oterrier/openapi-python-client

ca8acdbe34b11584143b78afc130684f0690d5bf

[ "MIT" ]

38

2020-04-12T09:36:27.000Z

2021-06-11T08:57:07.000Z

""" A client library for accessing My Test API """ from .client import AuthenticatedClient, Client

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0f28cce2391eb98593494aff901b6dc60d96a142

129

py

Python

FaceSwap-master/PRNet-master/utils/cv_plot.py

CSID-DGU/-2020-1-OSSP1-ninetynine-2

b1824254882eeea0ee44e4e60896b72c51ef1d2c

[ "MIT" ]

1

2020-06-21T13:45:26.000Z

FaceSwap-master/PRNet-master/utils/cv_plot.py

CSID-DGU/-2020-1-OSSP1-ninetynine-2

b1824254882eeea0ee44e4e60896b72c51ef1d2c

[ "MIT" ]

null

FaceSwap-master/PRNet-master/utils/cv_plot.py

CSID-DGU/-2020-1-OSSP1-ninetynine-2

b1824254882eeea0ee44e4e60896b72c51ef1d2c

[ "MIT" ]

3

2020-09-02T03:18:45.000Z

2021-01-27T08:24:05.000Z

version https://git-lfs.github.com/spec/v1 oid sha256:3a3cb957d117155ee995d9cab864e0432af85b0c087abce883dd4468d6a57fb3 size 2681

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7e18311678b4d8051253922f6ccb5e4606ffaeca

4,838

py

Python

p2_continuous-control/model.py

chrillemanden/deep-reinforcement-learning

6bed050e2273ee0a89cc0355ba73ede4d1e5ad62

[ "MIT" ]

null

p2_continuous-control/model.py

chrillemanden/deep-reinforcement-learning

6bed050e2273ee0a89cc0355ba73ede4d1e5ad62

[ "MIT" ]

null

p2_continuous-control/model.py

chrillemanden/deep-reinforcement-learning

6bed050e2273ee0a89cc0355ba73ede4d1e5ad62

[ "MIT" ]

null

import numpy as np # Pytorch imports import torch import torch.nn as nn import torch.nn.functional as F import torch.optim as optim def hidden_init(layer): fan_in = layer.weight.data.size()[0] lim = 1. / np.sqrt(fan_in) return (-lim, lim) class Actor(nn.Module): """Actor (Policy) Model.""" def __init__(self, state_size, action_size, seed, hidden_layers, fc1_units=200, fc2_units=50): """Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed hidden_layers: list of the sizes of the hidden layers """ #super(Actor, self).__init__() #self.seed = torch.manual_seed(seed) #Setting the seed for the random generator in Pytorch # Sets up all layers with linear transformations # Add the input layer to a hidden layer #self.hidden_layers = nn.ModuleList([nn.Linear(state_size, hidden_layers[0])]) # Add the remaining hidden layers #layer_sizes = zip(hidden_layers[:-1], hidden_layers[1:]) #self.hidden_layers.extend([nn.Linear(h1, h2) for h1, h2 in layer_sizes]) # Add the output layer #self.output = nn.Linear(hidden_layers[-1], action_size) super(Actor, self).__init__() self.seed = torch.manual_seed(seed) self.bn0 = nn.BatchNorm1d(state_size) self.fc1 = nn.Linear(state_size, fc1_units) self.bn1 = nn.BatchNorm1d(fc1_units) self.fc2 = nn.Linear(fc1_units, fc2_units) self.bn2 = nn.BatchNorm1d(fc2_units) self.fc3 = nn.Linear(fc2_units, action_size) self.reset_parameters() def reset_parameters(self): self.fc1.weight.data.uniform_(*hidden_init(self.fc1)) self.fc2.weight.data.uniform_(*hidden_init(self.fc2)) self.fc3.weight.data.uniform_(-3e-3, 3e-3) # def forward(self, state): # # Forward propagation # # relu is a non-linear activation function # # F is the pyTorch functional module # x = state # for linear in self.hidden_layers: # Pass through hidden layers # x = F.relu(linear(x)) # return F.tanh(self.output(x)) # Return the output of the output layer def forward(self, state): """Build an actor (policy) network that maps states -> actions.""" x = self.bn0(state) x = F.relu(self.bn1(self.fc1(x))) x = F.relu(self.bn2(self.fc2(x))) return torch.tanh(self.fc3(x)) class Critic(nn.Module): """Actor (Policy) Model.""" def __init__(self, state_size, action_size, seed, hidden_layers, fc1_units=400, fc2_units=50): """Initialize parameters and build model. Params ====== state_size (int): Dimension of each state action_size (int): Dimension of each action seed (int): Random seed hidden_layers: list of the sizes of the hidden layers """ #super(Critic, self).__init__() #self.seed = torch.manual_seed(seed) #Setting the seed for the random generator in Pytorch # Sets up all layers with linear transformations # Add the input layer to a hidden layer #self.hidden_layers = nn.ModuleList([nn.Linear(state_size, hidden_layers[0])]) # Add the remaining hidden layers #layer_sizes = zip(hidden_layers[:-1], hidden_layers[1:]) #self.hidden_layers.extend([nn.Linear(h1, h2) for h1, h2 in layer_sizes]) # Add the output layer #self.output = nn.Linear(hidden_layers[-1], dim=1) #self.fool = nn.Linear(state_size, fc1_units) #self.fc2 = nn.Linear(fc1_units+action_size, fc2_units) #self.fc3 = nn.Linear(fc2_units, 1) super(Critic, self).__init__() self.seed = torch.manual_seed(seed) self.fcs1 = nn.Linear(state_size, fc1_units) self.bn1 = nn.BatchNorm1d(fc1_units) self.d1 = nn.Dropout(p=0.1) self.fc2 = nn.Linear(fc1_units+action_size, fc2_units) self.d2 = nn.Dropout(p=0.1) self.fc3 = nn.Linear(fc2_units, 1) def reset_parameters(self): self.fcs1.weight.data.uniform_(*hidden_init(self.fc1)) self.fc2.weight.data.uniform_(*hidden_init(self.fc2)) self.fc3.weight.data.uniform_(-3e-3, 3e-3) self.fcs1.bias.data.fill_(0.1) self.fc2.bias.data.fill_(0.1) self.fc3.bias.data.fill_(0.1) def forward(self, state, action): # Forward propagation # relu is a non-linear activation function # F is the pyTorch functional module # This is very important, gotta test this cat-thing # x = torch.cat([state, action], 1) # for linear in self.hidden_layers: # Pass through hidden layers # x = F.relu(linear(x)) # return self.output(x) # Return the output of the output layer #if state.dim() == 1: # state = torch.unsqueeze(state,0) #xp = F.relu(self.fcs1(state)) #x = torch.cat((xp, action), dim=1) #x = self.fc2(x) #x = F.relu(x) #return self.fc3(x) if state.dim() == 1: state = torch.unsqueeze(state,0) xs = self.d1(self.bn1(F.relu(self.fcs1(state)))) x = torch.cat((xs, action), dim=1) x = self.d2(F.relu(self.fc2(x))) return self.fc3(x)

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py

Python

tests/test_finetuning.py

atiqm/adapt

af9833cb7e698bdcb722941622d67c06f04822f7

[ "BSD-2-Clause" ]

null

tests/test_finetuning.py

atiqm/adapt

af9833cb7e698bdcb722941622d67c06f04822f7

[ "BSD-2-Clause" ]

null

tests/test_finetuning.py

atiqm/adapt

af9833cb7e698bdcb722941622d67c06f04822f7

[ "BSD-2-Clause" ]

null

import numpy as np import tensorflow as tf from sklearn.base import clone from adapt.utils import make_classification_da from adapt.parameter_based import FineTuning np.random.seed(0) tf.random.set_seed(0) encoder = tf.keras.Sequential() encoder.add(tf.keras.layers.Dense(50, activation="relu")) encoder.add(tf.keras.layers.Dense(50, activation="relu")) task = tf.keras.Sequential() task.add(tf.keras.layers.Dense(1, activation="sigmoid")) ind = np.random.choice(100, 10) Xs, ys, Xt, yt = make_classification_da() def test_finetune(): model = FineTuning(encoder=encoder, task=task, loss="bce", optimizer="adam", random_state=0) model.fit(Xs, ys, epochs=100, verbose=0) assert np.mean((model.predict(Xt).ravel()>0.5) == yt) < 0.7 fine_tuned = FineTuning(encoder=model.encoder_, task=model.task_, training=False, loss="bce", optimizer="adam", random_state=0) fine_tuned.fit(Xt[ind], yt[ind], epochs=100, verbose=0) assert np.abs(fine_tuned.encoder_.get_weights()[0] - model.encoder_.get_weights()[0]).sum() == 0. assert np.mean((fine_tuned.predict(Xt).ravel()>0.5) == yt) > 0.7 assert np.mean((fine_tuned.predict(Xt).ravel()>0.5) == yt) < 0.8 fine_tuned = FineTuning(encoder=model.encoder_, task=model.task_, training=True, loss="bce", optimizer="adam", random_state=0) fine_tuned.fit(Xt[ind], yt[ind], epochs=100, verbose=0) assert np.abs(fine_tuned.encoder_.get_weights()[0] - model.encoder_.get_weights()[0]).sum() > 1. assert np.mean((fine_tuned.predict(Xt).ravel()>0.5) == yt) > 0.9 fine_tuned = FineTuning(encoder=model.encoder_, task=model.task_, training=[True, False], loss="bce", optimizer="adam", random_state=0) fine_tuned.fit(Xt[ind], yt[ind], epochs=100, verbose=0) assert np.abs(fine_tuned.encoder_.get_weights()[0] - model.encoder_.get_weights()[0]).sum() == 0. assert np.abs(fine_tuned.encoder_.get_weights()[-1] - model.encoder_.get_weights()[-1]).sum() > 1. fine_tuned = FineTuning(encoder=model.encoder_, task=model.task_, training=[False], loss="bce", optimizer="adam", random_state=0) fine_tuned.fit(Xt[ind], yt[ind], epochs=100, verbose=0) assert np.abs(fine_tuned.encoder_.get_weights()[0] - model.encoder_.get_weights()[0]).sum() == 0. assert np.abs(fine_tuned.encoder_.get_weights()[-1] - model.encoder_.get_weights()[-1]).sum() == 0 def test_finetune_pretrain(): model = FineTuning(encoder=encoder, task=task, pretrain=True, pretrain__epochs=2, loss="bce", optimizer="adam", random_state=0) model.fit(Xs, ys, epochs=1, verbose=0) def test_clone(): model = FineTuning(encoder=encoder, task=task, loss="bce", optimizer="adam", random_state=0) model.fit(Xs, ys, epochs=1, verbose=0) new_model = clone(model) new_model.fit(Xs, ys, epochs=1, verbose=0) new_model.predict(Xs); assert model is not new_model

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7e2d17b5d85568fd2c5cff8b9f6787044509c981

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py

Python

calfire_wildfires/__init__.py

palewire/califire-fires

f06ec6028dfdf503218226e1c3a418dbe04a06f9

[ "MIT" ]

null

calfire_wildfires/__init__.py

palewire/califire-fires

f06ec6028dfdf503218226e1c3a418dbe04a06f9

[ "MIT" ]

7

2021-12-01T15:17:34.000Z

2021-12-02T23:31:11.000Z

calfire_wildfires/__init__.py

palewire/califire-fires

f06ec6028dfdf503218226e1c3a418dbe04a06f9

[ "MIT" ]

1

2021-12-02T00:40:22.000Z

""" Download wildfires data from CalFire """ import requests def get_active_fires(): """Get the latest ative fires from CalFire. Returns GeoJSON with point geometry """ # Request data r = requests.get( "https://www.fire.ca.gov/umbraco/api/IncidentApi/GeoJsonList?inactive=false" ) if r.status_code != 200: raise Exception(f"Request for data failed with {r.status_code} status code") # Return it return r.json() def get_all_fires(): """Get all active and inactive fires year to date from CalFire. Returns GeoJSON with point geometry """ # Request data r = requests.get("https://www.fire.ca.gov/umbraco/api/IncidentApi/GeoJsonList") if r.status_code != 200: raise Exception(f"Request for data failed with {r.status_code} status code") # Return it return r.json()

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7e4054d1815e43503cfd199292aff74ac29feb4f

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py

Python

bloggitt/core/admin.py

TrushaT/Bloggitt

f3c51be1d767e6eee1f856af20d07399f34dfdf7

[ "MIT" ]

null

bloggitt/core/admin.py

TrushaT/Bloggitt

f3c51be1d767e6eee1f856af20d07399f34dfdf7

[ "MIT" ]

null

bloggitt/core/admin.py

TrushaT/Bloggitt

f3c51be1d767e6eee1f856af20d07399f34dfdf7

[ "MIT" ]

null

from django.contrib import admin from .models import Post, FavouritePost # Register your models here. admin.site.register(Post) admin.site.register(FavouritePost)

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5

7e41e476c894c0ca1c524dd2adfc1575839e994a

76

py

Python

src/ope/kiv/__init__.py

liyuan9988/IVOPEwithACME

d77fab09b2e1cb8d3dbd8b2ab88adcce6a853558

[ "MIT" ]

1

2020-09-05T01:25:39.000Z

src/ope/kiv_batch/__init__.py

liyuan9988/IVOPEwithACME

d77fab09b2e1cb8d3dbd8b2ab88adcce6a853558

[ "MIT" ]

null

src/ope/kiv_batch/__init__.py

liyuan9988/IVOPEwithACME

d77fab09b2e1cb8d3dbd8b2ab88adcce6a853558

[ "MIT" ]

null

from .nn_structure import make_ope_networks from .learner import KIVLearner

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1

0

1

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1

0

5

7e56a6dc5ed720df3b59686a529147dd254acd6e

108

py

Python

Token.py

TheJakester42/JakeLanguage

54db89af836c60daf5dca7d300738b57f12893ea

[ "MIT" ]

null

Token.py

TheJakester42/JakeLanguage

54db89af836c60daf5dca7d300738b57f12893ea

[ "MIT" ]

null

Token.py

TheJakester42/JakeLanguage

54db89af836c60daf5dca7d300738b57f12893ea

[ "MIT" ]

null

class Token: description = "" def __init__(self,description): self.description = description

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1

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5

7e5fb79d0790c329c0e24f5ea418bfde4de4a51a

92

py

Python

sitemessage/tests/testapp/urls.py

furins/django-sitemessage

4cdfa0e78eb122dea835c9c4ef845f44e3a5eb90

[ "BSD-3-Clause" ]

49

2015-01-26T01:31:22.000Z

2022-02-01T19:10:55.000Z

sitemessage/tests/testapp/urls.py

furins/django-sitemessage

4cdfa0e78eb122dea835c9c4ef845f44e3a5eb90

[ "BSD-3-Clause" ]

10

2015-11-13T09:38:53.000Z

2021-03-14T11:22:35.000Z

sitemessage/tests/testapp/urls.py

furins/django-sitemessage

4cdfa0e78eb122dea835c9c4ef845f44e3a5eb90

[ "BSD-3-Clause" ]

10

2015-03-16T09:01:47.000Z

2021-03-14T10:10:27.000Z

from sitemessage.toolbox import get_sitemessage_urls urlpatterns = get_sitemessage_urls()

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223

py

Python

snuba/datasets/transactions.py

fpacifici/snuba

cf732b71383c948f9387fbe64e9404ca71f8e9c5

[ "Apache-2.0" ]

null

snuba/datasets/transactions.py

fpacifici/snuba

cf732b71383c948f9387fbe64e9404ca71f8e9c5

[ "Apache-2.0" ]

null

snuba/datasets/transactions.py

fpacifici/snuba

cf732b71383c948f9387fbe64e9404ca71f8e9c5

[ "Apache-2.0" ]

null

from snuba.datasets.dataset import Dataset from snuba.datasets.entities import EntityKey class TransactionsDataset(Dataset): def __init__(self) -> None: super().__init__(default_entity=EntityKey.TRANSACTIONS)

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5

7ea571c1abe4a8c7853649385d9ade134126eb61

791

py

Python

src/fecc_tokens/Paren.py

castor91/fecc

bc46059c0d7a428d15b95050b70dec374b4bea28

[ "MIT" ]

1

2018-02-04T14:48:15.000Z

src/fecc_tokens/Paren.py

castor91/fecc

bc46059c0d7a428d15b95050b70dec374b4bea28

[ "MIT" ]

null

src/fecc_tokens/Paren.py

castor91/fecc

bc46059c0d7a428d15b95050b70dec374b4bea28

[ "MIT" ]

null

class Paren: def __init__(self, paren): if paren == '(': LParen() @staticmethod def getParen(paren): if paren == '(': return LParen() elif paren == ')': return RParen() elif paren == '{': return LBrace() elif paren == '}': return RBrace() def __str__(self): return 'Generic PAREN' class LParen(Paren): def __init__(self): pass def __str__(self): return 'LPAREN' class RParen(Paren): def __init__(self): pass def __str__(self): return 'RPAREN' class LBrace(Paren): def __init__(self): pass def __str__(self): return 'LBRACE' class RBrace(Paren): def __init__(self): pass def __str__(self): return 'RBrace'

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7ea765dc792e6bc0c0f8a8d59d93e4adddd3014d

87

py

Python

linecms/models/__init__.py

nieltg/django-linecms

baee123ce3fae9fb9333ba8b4e542942273075d2

[ "MIT" ]

2

2019-09-24T03:32:32.000Z

2020-04-13T15:51:27.000Z

linecms/models/__init__.py

nieltg/django-linecms

baee123ce3fae9fb9333ba8b4e542942273075d2

[ "MIT" ]

1

2018-07-07T02:04:56.000Z

linecms/models/__init__.py

nieltg/django-linecms

baee123ce3fae9fb9333ba8b4e542942273075d2

[ "MIT" ]

1

2018-07-23T16:56:21.000Z

from .hooks import TextMessageHook from .message import Message from .task import Task

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0e2b426179c4c372e1e8e70d6a2da0f62e1b17fa

146

py

Python

SLpackage/private/pacbio/pythonpkgs/pbsvtools/lib/python2.7/site-packages/pbsv1/annot.py

fanglab/6mASCOPE

3f1fdcb7693ff152f17623ce549526ec272698b1

[ "BSD-3-Clause" ]

5

2022-02-20T07:10:02.000Z

2022-03-18T17:47:53.000Z

SLpackage/private/pacbio/pythonpkgs/pbsvtools/lib/python2.7/site-packages/pbsv1/annot.py

fanglab/6mASCOPE

3f1fdcb7693ff152f17623ce549526ec272698b1

[ "BSD-3-Clause" ]

null

SLpackage/private/pacbio/pythonpkgs/pbsvtools/lib/python2.7/site-packages/pbsv1/annot.py

fanglab/6mASCOPE

3f1fdcb7693ff152f17623ce549526ec272698b1

[ "BSD-3-Clause" ]

null

"""Annotate structural variant calls.""" from __future__ import absolute_import from .independent.annot import Repeat, annot_seq #, annot_bed_fn

29.2

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146

5.789474

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146

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