xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

306295ff0ec88f278c43fd27550aa426aaa0d5f9

256

py

Python

extraction/lp.py

rdverse/ReproMultiModal

6d47c71f72eb33ffb6e5065f6457fb2a9753ef50

[ "MIT" ]

null

extraction/lp.py

rdverse/ReproMultiModal

6d47c71f72eb33ffb6e5065f6457fb2a9753ef50

[ "MIT" ]

null

extraction/lp.py

rdverse/ReproMultiModal

6d47c71f72eb33ffb6e5065f6457fb2a9753ef50

[ "MIT" ]

null

import layoutparser as lp import cv2 model = lp.AutoLayoutModel('lp://EfficientDete/PubLayNet') image = cv2.imread("/home/devesh/Code/ReproMultiModal/test1images/fullimgs/image0.png") layout = model.detect(image) # layout = model.detect(image # image =

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1

null

0

1

0

4

3078f6f7a835d165214af69930e334c0ce683c2e

93

py

Python

followers/apps.py

IanSeng/CMPUT404_PROJECT

80acd2c57de4b091e0e66ad9f5f2df17801bf09e

[ "W3C-20150513" ]

25

2020-08-30T19:28:01.000Z

2022-02-18T19:18:14.000Z

followers/apps.py

IanSeng/CMPUT404_PROJECT

80acd2c57de4b091e0e66ad9f5f2df17801bf09e

[ "W3C-20150513" ]

81

2021-02-14T02:35:52.000Z

2021-04-10T21:14:27.000Z

followers/apps.py

IanSeng/CMPUT404_PROJECT

80acd2c57de4b091e0e66ad9f5f2df17801bf09e

[ "W3C-20150513" ]

27

2020-09-06T08:00:49.000Z

2022-02-01T06:15:08.000Z

from django.apps import AppConfig class FollowersConfig(AppConfig): name = 'followers'

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0

1

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1

0

4

307ad935a73bce6d656b74741ed84febc2ba39f8

168

py

Python

ComGui/build_resources.py

Ingener74/MoneyBot

ff7499287e591767261d99b910cc9901ead8ad90

[ "MIT" ]

null

ComGui/build_resources.py

Ingener74/MoneyBot

ff7499287e591767261d99b910cc9901ead8ad90

[ "MIT" ]

null

ComGui/build_resources.py

Ingener74/MoneyBot

ff7499287e591767261d99b910cc9901ead8ad90

[ "MIT" ]

null

# !/usr/bin/env python3 # -*- coding: utf-8 -*- from subprocess import run if __name__ == '__main__': run('pyside6-uic res/MainWindow.ui -o res/Ui_MainWindow.py')

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null

0

1

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4

308063c69468414e0cad061832e26c97c14a068d

631

py

Python

exceptions.py

krinskils/chess

d2bf66800a9bcebf842d416f5dc8bb46ec65ce49

[ "MIT" ]

2

2020-07-27T11:08:06.000Z

2020-09-16T15:24:39.000Z

exceptions.py

krinskils/chess

d2bf66800a9bcebf842d416f5dc8bb46ec65ce49

[ "MIT" ]

1

2020-07-11T15:20:44.000Z

exceptions.py

guykrinsky/chess

d2bf66800a9bcebf842d416f5dc8bb46ec65ce49

[ "MIT" ]

null

class GameEnd(Exception): pass class Tie(GameEnd): pass class Checkmated(GameEnd): pass class RunOutOfTime(GameEnd): pass class MoveError(Exception): pass class CheckAfterMove(MoveError): pass class SquareNotInValidMoves(MoveError): pass class TeamDoesntGotTurn(MoveError): pass class CantCastling(MoveError): pass class DidntMove(Exception): pass class UserExitGame(Exception): pass class FinishStartingScreen(Exception): pass class BackToLastScreen(Exception): pass class NonReturnValue(Exception): pass class JoinGameError(Exception): pass

10.694915

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1

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null

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1

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4

065291815728d04a5163493b896d4fc41a204682

188

py

Python

plateo/containers/__init__.py

Edinburgh-Genome-Foundry/plateo

c9a608658325f3c507788d9b966a3f3c8e516bc5

[ "MIT" ]

22

2018-01-29T21:34:25.000Z

2021-12-14T15:31:49.000Z

plateo/containers/__init__.py

Edinburgh-Genome-Foundry/plateo

c9a608658325f3c507788d9b966a3f3c8e516bc5

[ "MIT" ]

3

2017-09-20T16:08:45.000Z

2021-05-28T17:45:14.000Z

plateo/containers/__init__.py

Edinburgh-Genome-Foundry/plateo

c9a608658325f3c507788d9b966a3f3c8e516bc5

[ "MIT" ]

5

2018-09-18T08:53:37.000Z

2021-04-28T08:44:38.000Z

from .plates import ( get_plate_class, Plate96, Plate384, Plate1536, Plate2x4, Plate4ti0960, Plate4ti0130, PlateLabcyteEchoLp0200Ldv, PlateLabcyteEchoP05525Pp, Trough8x1 )

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null

0

1

0

1

0

null

0

1

0

4

068c80e60619384c0971b60216d5e03d50bb4d63

11,503

py

Python

other/python_parser.py

Delaunay/lython

b4cd21714893beb5b14ccbeb17b2b1af074118bc

[ "BSD-3-Clause" ]

1

2016-11-23T14:39:11.000Z

other/python_parser.py

Delaunay/lython

b4cd21714893beb5b14ccbeb17b2b1af074118bc

[ "BSD-3-Clause" ]

9

2020-02-25T01:48:27.000Z

2021-12-31T02:56:28.000Z

other/python_parser.py

Delaunay/lython

b4cd21714893beb5b14ccbeb17b2b1af074118bc

[ "BSD-3-Clause" ]

1

2015-12-18T12:17:01.000Z

import ast from argparse import Namespace class CPPGenerator(ast.NodeVisitor): def __init__(self): super(CPPGenerator, self).__init__() self.depth = 0 def visit(self, node) -> str: self.depth += 1 v = super().visit(node) self.depth -= 1 return v def visit_arguments(self, node): return self.visit_children(node) def visit_arg(self, node): return self.visit_children(node) def visit_comprehension(self, node): return self.visit_children(node) def visit_excepthandler(self, node): return self.visit_children(node) def visit_keyword(self, node): return self.visit_children(node) def visit_alias(self, node): return self.visit_children(node) def visit_withitem(self, node): return self.visit_children(node) def visit_type_ignore(self, node): return self.visit_children(node) def visit_children(self, node): trace = ':'.join(['|' for _ in range(self.depth)]) print(f'{trace} {self.depth} {node}') v = None for value in ast.iter_child_nodes(node): v = self.visit(value) return v def generic_visit(self, node): print(type(node), 'does not exist') return self.visit_children(node) # mod def visit_Module(self, node): return self.visit_children(node) def visit_Interactive(self, node): return self.visit_children(node) def visit_Expression(self, node): return self.visit_children(node) def visit_FunctionType(self, node): return self.visit_children(node) def get_expr(self, node): return Namespace(**dict(ast.iter_fields(node))) # stmt def visit_FunctionDef(self, node: ast.FunctionDef): fun_def: ast.FunctionDef = self.get_expr(node) all_args: ast.arguments = self.get_expr(fun_def.args) return_type = self.visit(fun_def.returns) args = [] defaults = [None] * len(all_args.args) for i, val in enumerate(all_args.defaults): defaults[-(i + 1)] = val for arg, default in zip(all_args.args, defaults): arg_n = self.get_expr(arg) arg_type = self.visit(arg.annotation) arg_name = arg_n.arg if default is not None: default = self.visit(default) args.append(f'{arg_type} {arg_name} = {default}') else: args.append(f'{arg_type} {arg_name}') docstring = None expressions = [] for i, expr in enumerate(fun_def.body): # Docstring if isinstance(expr, ast.Expr) and i == 0: data = self.get_expr(expr).value if isinstance(data, ast.Str): docstring = self.get_expr(data).s continue expressions.append(self.visit(expr) + ';') if docstring is not None: docstring = f'// {docstring}' else: docstring = '' args = ', '.join(args) exprs = '\n '.join(expressions) return f""" {docstring} {return_type} {fun_def.name}({args}){{ {exprs} }} """ def visit_AsyncFunctionDef(self, node): return self.visit_children(node) def visit_ClassDef(self, node): return self.visit_children(node) def visit_Return(self, node): ret: ast.Return = self.get_expr(node) return f'return {self.visit(ret.value)}' def visit_Delete(self, node): return self.visit_children(node) def visit_Assign(self, node): assign: ast.Assign = self.get_expr(node) targets = assign.targets value = assign.value targets_str = ','.join([self.visit(t) for t in targets]) value_str = self.visit(value) return f'{targets_str} = {value_str}' def visit_AugAssign(self, node): return self.visit_children(node) def visit_AnnAssign(self, node): return self.visit_children(node) def visit_For(self, node): return self.visit_children(node) def visit_AsyncFor(self, node): return self.visit_children(node) def visit_While(self, node): return self.visit_children(node) def visit_If(self, node): return self.visit_children(node) def visit_With(self, node): return self.visit_children(node) def visit_AsyncWith(self, node): return self.visit_children(node) def visit_Raise(self, node): return self.visit_children(node) def visit_Try(self, node): return self.visit_children(node) def visit_Assert(self, node): return self.visit_children(node) def visit_Import(self, node): return self.visit_children(node) def visit_ImportFrom(self, node): return self.visit_children(node) def visit_Global(self, node): return self.visit_children(node) def visit_Nonlocal(self, node): return self.visit_children(node) def visit_Expr(self, node): return self.visit_children(node) def visit_Pass(self, node): return self.visit_children(node) def visit_Break(self, node): return self.visit_children(node) def visit_Continue(self, node): return self.visit_children(node) def visit_Bool(self, node): return self.visit_children(node) # Expression def visit_BoolOp(self, node): return self.visit_children(node) def visit_NamedExpr(self, node): return self.visit_children(node) def visit_BinOp(self, node): bin_op: ast.BinOp = self.get_expr(node) rhs = self.visit(bin_op.right) lhs = self.visit(bin_op.left) op = self.visit(bin_op.op) return f'{lhs} {op} {rhs}' def visit_UnaryOp(self, node): return self.visit_children(node) def visit_Lambda(self, node): return self.visit_children(node) def visit_IfExp(self, node): return self.visit_children(node) def visit_Dict(self, node): return self.visit_children(node) def visit_Set(self, node): return self.visit_children(node) def visit_ListComp(self, node): return self.visit_children(node) def visit_SetComp(self, node): return self.visit_children(node) def visit_DictComp(self, node): return self.visit_children(node) def visit_GeneratorExp(self, node): return self.visit_children(node) def visit_Await(self, node): return self.visit_children(node) def visit_Yield(self, node): return self.visit_children(node) def visit_YieldFrom(self, node): return self.visit_children(node) def visit_Num(self, node): num: ast.Num = self.get_expr(node) return num.n def visit_Str(self, node): return self.visit_children(node) def visit_Compare(self, node): return self.visit_children(node) def visit_Call(self, node): return self.visit_children(node) def visit_FormattedValue(self, node): return self.visit_children(node) def visit_JoinedStr(self, node): return self.visit_children(node) def visit_Constant(self, node): return self.visit_children(node) def visit_Attribute(self, node): return self.visit_children(node) def visit_Subscript(self, node): return self.visit_children(node) def visit_Starred(self, node): return self.visit_children(node) def visit_Name(self, node): name: ast.Name = self.get_expr(node) return name.id def visit_List(self, node): return self.visit_children(node) def visit_Tuple(self, node): return self.visit_children(node) def visit_Load(self, node): return self.visit_children(node) def visit_Store(self, node): return self.visit_children(node) def visit_Del(self, node): return self.visit_children(node) def visit_AugLoad(self, node): return self.visit_children(node) def visit_AugStore(self, node): return self.visit_children(node) def visit_Param(self, node): return self.visit_children(node) def visit_Slice(self, node): return self.visit_children(node) def visit_ExtSlice(self, node): return self.visit_children(node) def visit_Index(self, node): return self.visit_children(node) def visit_And(self, node): return self.visit_children(node) def visit_Or(self, node): return self.visit_children(node) def visit_Add(self, node): # add: ast.Add = self.get_expr(node) return '+' def visit_Sub(self, node): return self.visit_children(node) def visit_Mult(self, node): return self.visit_children(node) def visit_MatMult(self, node): return self.visit_children(node) def visit_Div(self, node): return self.visit_children(node) def visit_Mod(self, node): return self.visit_children(node) def visit_Pow(self, node): return self.visit_children(node) def visit_LShift(self, node): return self.visit_children(node) def visit_RShift(self, node): return self.visit_children(node) def visit_BitOr(self, node): return self.visit_children(node) def visit_BitXor(self, node): return self.visit_children(node) def visit_BitAnd(self, node): return self.visit_children(node) def visit_FloorDiv(self, node): return self.visit_children(node) def visit_Invert(self, node): return self.visit_children(node) def visit_Not(self, node): return self.visit_children(node) def visit_UAdd(self, node): return self.visit_children(node) def visit_USub(self, node): return self.visit_children(node) def visit_Eq(self, node): return self.visit_children(node) def visit_NotEq(self, node): return self.visit_children(node) def visit_Lt(self, node): return self.visit_children(node) def visit_LtE(self, node): return self.visit_children(node) def visit_Gt(self, node): return self.visit_children(node) def visit_GtE(self, node): return self.visit_children(node) def visit_Is(self, node): return self.visit_children(node) def visit_IsNot(self, node): return self.visit_children(node) def visit_In(self, node): return self.visit_children(node) def visit_NotIn(self, node): return self.visit_children(node) import sys sys.stderr = sys.stdout parsed = ast.parse(''' @dummy def add(a: float, b: float, c: float = 1) -> float: """Add Numbers""" d = a + b return d + c ''') visitor = CPPGenerator() print(visitor.visit(parsed)) # print(parsed) # # for node in ast.walk(parsed): # # for name, value in ast.iter_fields(node): # print(f' - {name} {value}') #

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4

0690ea2fa92764711ec8101b43b1138d2377dcde

271

py

Python

playerhand.py

dlavery/pokerpractice

80f89974be4a08fc8f7d1c94b0ebfb7d5758b3e4

[ "MIT" ]

null

playerhand.py

dlavery/pokerpractice

80f89974be4a08fc8f7d1c94b0ebfb7d5758b3e4

[ "MIT" ]

null

playerhand.py

dlavery/pokerpractice

80f89974be4a08fc8f7d1c94b0ebfb7d5758b3e4

[ "MIT" ]

null

class PlayerHand: # player's hand def __init__(self): self.__hand = [] def deal(self, card): # receive a card self.__hand.append(card) def gethand(self): return self.__hand def burnhand(self): self.__hand = []

15.941176

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4

06966a8713f1e1c24ec91e84d5d3ffa7b5728a20

101

py

Python

app/config/setting.py

xu20065953/FishBook_api

d824bf90e776fe0865759f85933a8824a029ad5e

[ "MIT" ]

null

app/config/setting.py

xu20065953/FishBook_api

d824bf90e776fe0865759f85933a8824a029ad5e

[ "MIT" ]

null

app/config/setting.py

xu20065953/FishBook_api

d824bf90e776fe0865759f85933a8824a029ad5e

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Author : jjxu # @time: 2019/01/14 14:42 DEBUG = True HOST = "0.0.0.0"

10.1

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1

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1

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null

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4

233577f43a14cdef601183b23101182e071b1319

83

py

Python

toDo/apps.py

lvieira268/toDo-django-htmx

da298adacf138a08fc1fa0420eb1cdc0c915c643

[ "MIT" ]

null

toDo/apps.py

lvieira268/toDo-django-htmx

da298adacf138a08fc1fa0420eb1cdc0c915c643

[ "MIT" ]

null

toDo/apps.py

lvieira268/toDo-django-htmx

da298adacf138a08fc1fa0420eb1cdc0c915c643

[ "MIT" ]

null

from django.apps import AppConfig class TodoConfig(AppConfig): name = 'toDo'

13.833333

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4

233b4a8429e4c7d3b776238257bfdff004136863

145

py

Python

triggercmd_cli/api/schemas.py

GussSoares/triggercmd-cli

d8094bfe4fc815e8a6de664de667e6a5a6dd4888

[ "MIT" ]

8

2021-09-18T11:33:41.000Z

2021-10-07T15:39:19.000Z

triggercmd_cli/api/schemas.py

GussSoares/triggercmd-cli

d8094bfe4fc815e8a6de664de667e6a5a6dd4888

[ "MIT" ]

5

2021-09-22T13:27:59.000Z

2021-10-14T14:24:43.000Z

triggercmd_cli/api/schemas.py

GussSoares/triggercmd-cli

d8094bfe4fc815e8a6de664de667e6a5a6dd4888

[ "MIT" ]

3

2021-09-22T01:46:28.000Z

2021-10-13T22:47:11.000Z

from pydantic import BaseModel class Command(BaseModel): trigger: str command: str ground: str voice: str allowParams: str

14.5

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145

9

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true

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1

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4

2350dec80d17812c5c2e04c51ac798c5a726baf8

133

py

Python

app01/app01/__init__.py

JoeBuzh/learn_django

9c983b6a149a2e9a71a6548d2307c16859a7fb66

[ "MIT" ]

null

app01/app01/__init__.py

JoeBuzh/learn_django

9c983b6a149a2e9a71a6548d2307c16859a7fb66

[ "MIT" ]

null

app01/app01/__init__.py

JoeBuzh/learn_django

9c983b6a149a2e9a71a6548d2307c16859a7fb66

[ "MIT" ]

null

''' 配置pymysql ''' import pymysql # 解决mysql版本问题报错而添加的代码 pymysql.version_info = (1, 3, 13, "final", 0) pymysql.install_as_MySQLdb()

19

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true

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null

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1

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1

0

4

88c4fb5027f2473b64831b01c645164309e8e014

155

py

Python

panGraphViewerWeb/pangraphviewer/forms.py

q623928815/panGraphViewer

05ca341d74d3cbabcbbaa16f5d1be5292c217447

[ "MIT" ]

13

2021-08-05T09:01:35.000Z

2022-03-05T17:20:08.000Z

panGraphViewerWeb/pangraphviewer/forms.py

q623928815/panGraphViewer

05ca341d74d3cbabcbbaa16f5d1be5292c217447

[ "MIT" ]

2

2021-08-05T13:01:58.000Z

2022-01-09T09:11:45.000Z

panGraphViewerWeb/pangraphviewer/forms.py

q623928815/panGraphViewer

05ca341d74d3cbabcbbaa16f5d1be5292c217447

[ "MIT" ]

2

2021-08-14T03:58:25.000Z

2022-01-04T05:45:27.000Z

from django import forms from .models import Upload class UploadForm(forms.ModelForm): class Meta: model = Upload fields = ('image',)

19.375

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88cd6708998d2e2858f02e2ca235a2a2140162e8

186

py

Python

src/model/vtn/builder.py

comword/TCD20-DP-DeepModel

7dca097957b745cf6345d8ac218ff28f306a5218

[ "MIT" ]

null

src/model/vtn/builder.py

comword/TCD20-DP-DeepModel

7dca097957b745cf6345d8ac218ff28f306a5218

[ "MIT" ]

null

src/model/vtn/builder.py

comword/TCD20-DP-DeepModel

7dca097957b745cf6345d8ac218ff28f306a5218

[ "MIT" ]

null

from .vtn_effnet import VTN from .options import VTNOptions class VTNBuilder: def __new__(cls, *args, **kwargs): opt = VTNOptions(*args, **kwargs) return VTN(opt)

18.6

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88e45f8c5a71432f442ab916a7d865237c2a6de8

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py

Python

skp_edu_docker/code/api/views/workflow_pre_feeder.py

TensorMSA/hoyai_docker

12f0041e6306d8a6421585a4b51666bad30be442

[ "MIT" ]

8

2017-06-16T00:19:12.000Z

2020-08-13T03:15:57.000Z

skp_edu_docker/code/api/views/workflow_pre_feeder.py

TensorMSA/tensormsa_docker

12f0041e6306d8a6421585a4b51666bad30be442

[ "MIT" ]

21

2017-06-09T10:15:14.000Z

2018-03-29T07:51:02.000Z

skp_edu_docker/code/api/views/workflow_pre_feeder.py

TensorMSA/hoyai_docker

12f0041e6306d8a6421585a4b51666bad30be442

[ "MIT" ]

4

2017-10-25T09:59:53.000Z

2020-05-07T09:51:11.000Z

import json from rest_framework.response import Response from rest_framework.views import APIView from master.workflow.preprocess.workflow_feed_fr2seq import WorkflowFeedFr2Seq from master.workflow.preprocess.workflow_feed_fr2wv import WorkflowFeedFr2Wv from master.workflow.preprocess.workflow_feed_fr2auto import WorkflowFeedFr2Auto from master.workflow.preprocess.workflow_feed_fr2wcnn import WorkflowFeedFr2Wcnn from master.workflow.preprocess.workflow_feed_iob2bilstmcrf import WorkflowFeedIob2BiLstmCrf import coreapi class WorkFlowPreFeeder(APIView) : # TODO:add document sample for swagger (need to update) coreapi_fields = ( coreapi.Field( name='parm1', required=True, type='string', ), coreapi.Field( name='parm2', required=True, type='string', ), ) def post(self, request, src, net, nnid, ver, node): """ - desc : insert data """ try: nodeid = ''.join([nnid, '_', ver, '_', node]) if(src == 'frame' and net == 'seq2seq') : return_data = WorkflowFeedFr2Seq().set_view_obj(nodeid , request.data) elif(src == 'frame' and net == 'word2vec') : return_data = WorkflowFeedFr2Wv().set_view_obj(nodeid, request.data) elif (src == 'frame' and net == 'autoencoder'): return_data = WorkflowFeedFr2Auto().set_view_obj(nodeid, request.data) elif (src == 'frame' and net == 'wcnn'): return_data = WorkflowFeedFr2Wcnn().set_view_obj(nodeid, request.data) elif (src == 'iob' and net == 'bilstmcrf'): return_data = WorkflowFeedIob2BiLstmCrf().set_view_obj(nodeid, request.data) else : raise Exception("not supported converting type") return Response(json.dumps(return_data)) except Exception as e: return_data = {"status": "404", "result": str(e)} return Response(json.dumps(return_data)) def get(self, request, src, net, nnid, ver, node): """ - desc : get data """ try: return_data = "" return Response(json.dumps(return_data)) except Exception as e: return_data = {"status": "404", "result": str(e)} return Response(json.dumps(return_data)) def put(self, request, src, net, nnid, ver, node): """ - desc ; update data """ try: nodeid = ''.join([nnid, '_', ver, '_', node]) if(src == 'frame' and net == 'seq2seq') : return_data = WorkflowFeedFr2Seq().set_view_obj(nodeid , request.data) elif (src == 'frame' and net == 'word2vec'): return_data = WorkflowFeedFr2Wv(nodeid).set_view_obj(nodeid, request.data) elif (src == 'frame' and net == 'autoencoder'): return_data = WorkflowFeedFr2Auto().set_view_obj(nodeid, request.data) elif (src == 'frame' and net == 'wcnn'): return_data = WorkflowFeedFr2Wcnn().set_view_obj(nodeid, request.data) elif (src == 'iob' and net == 'bilstmcrf'): return_data = WorkflowFeedIob2BiLstmCrf().set_view_obj(nodeid, request.data) else : raise Exception("not supported converting type") return Response(json.dumps(return_data)) except Exception as e: return_data = {"status": "404", "result": str(e)} return Response(json.dumps(return_data)) def delete(self, request, src, net, nnid, ver, node): """ - desc : delete data """ try: return_data = "" return Response(json.dumps(return_data)) except Exception as e: return_data = {"status": "404", "result": str(e)} return Response(json.dumps(return_data))

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1

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1

0

null

0

1

0

4

000798a1c21ba14f72b73a9f4a38a1727535e25d

101

py

Python

Chapter11/class1.py

LuisPereda/Learning_Python

e89e69346c5584be10d991010f39b59329793ba5

[ "MIT" ]

null

Chapter11/class1.py

LuisPereda/Learning_Python

e89e69346c5584be10d991010f39b59329793ba5

[ "MIT" ]

null

Chapter11/class1.py

LuisPereda/Learning_Python

e89e69346c5584be10d991010f39b59329793ba5

[ "MIT" ]

null

class Leapx_org(): pass L_obj1 = Leapx_org() L_obj2 = Leapx_org() print (L_obj1) print (L_obj2)

11.222222

21

0.693069

18

101

3.5

0.444444

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0

0.048193

0.178218

101

8

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false

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1

0

null

1

0

1

0

null

0

1

0

4

003a496dff05e861d16865e6faeb081be18219ae

101

py

Python

references/aoapc-book/BeginningAlgorithmContests/python/ch1/ex1-2.py

voleking/ICPC

fc2cf408fa2607ad29b01eb00a1a212e6d0860a5

[ "MIT" ]

68

2017-10-08T04:44:23.000Z

2019-08-06T20:15:02.000Z

BAC/python/ch1/ex1-2.py

Anyrainel/aoapc-related-code

e787a01380698fb9236d933462052f97b20e6132

[ "Apache-2.0" ]

null

BAC/python/ch1/ex1-2.py

Anyrainel/aoapc-related-code

e787a01380698fb9236d933462052f97b20e6132

[ "Apache-2.0" ]

18

2017-05-31T02:52:23.000Z

2019-07-05T09:18:34.000Z

from sys import stdin f, = map(float, stdin.readline().strip().split()) print "%.3lf" % (5*(f-32)/9)

25.25

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101

3.705882

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0

1

0

null

0

1

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1

0

4

cc454c00a4f5224eb2d81b359f3c24132e873014

176

py

Python

shlkr_controlserver/getInfo.py

rossilhf/shelllinker

68c188e7287dda03376f0779dcf3dfe2c90db19b

[ "MIT" ]

1

2020-10-30T02:47:16.000Z

shlkr_controlserver/getInfo.py

rossilhf/shelllinker

68c188e7287dda03376f0779dcf3dfe2c90db19b

[ "MIT" ]

null

shlkr_controlserver/getInfo.py

rossilhf/shelllinker

68c188e7287dda03376f0779dcf3dfe2c90db19b

[ "MIT" ]

null

#!/usr/bin/python3 # -*- coding: utf-8 -*- def get_curVersion(): """ get program version """ return "V1.0.2" if __name__ == "__main__": pass

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0.5

0

1

0

null

0

null

0

1

0

4

cc608fa1844ce293235934b8933c87e6eb308c51

357

py

Python

corehq/project_limits/rate_counter/interfaces.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

471

2015-01-10T02:55:01.000Z

2022-03-29T18:07:18.000Z

corehq/project_limits/rate_counter/interfaces.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

14,354

2015-01-01T07:38:23.000Z

2022-03-31T20:55:14.000Z

corehq/project_limits/rate_counter/interfaces.py

dimagilg/commcare-hq

ea1786238eae556bb7f1cbd8d2460171af1b619c

[ "BSD-3-Clause" ]

175

2015-01-06T07:16:47.000Z

2022-03-29T13:27:01.000Z

import abc class AbstractRateCounter(metaclass=abc.ABCMeta): @abc.abstractmethod def get(self, scope): raise NotImplementedError() @abc.abstractmethod def increment(self, scope, delta): raise NotImplementedError() @abc.abstractmethod def increment_and_get(self, scope, delta): raise NotImplementedError()

22.3125

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null

0

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4

cc7655655bb6224308bc5b4cb14062eb94c941de

93

py

Python

src/framat/__init__.py

airinnova/FramAT

4177a95b4ed8d95a8330365e32ca13ac9ef24640

[ "Apache-2.0" ]

9

2019-08-13T18:49:22.000Z

2022-03-31T08:40:29.000Z

src/framat/__init__.py

airinnova/FramAT

4177a95b4ed8d95a8330365e32ca13ac9ef24640

[ "Apache-2.0" ]

5

2020-01-08T08:38:25.000Z

2022-02-07T17:01:45.000Z

src/framat/__init__.py

airinnova/FramAT

4177a95b4ed8d95a8330365e32ca13ac9ef24640

[ "Apache-2.0" ]

5

2019-09-20T18:47:20.000Z

2022-01-11T13:08:55.000Z

MODULE_NAME = 'FramAT' from ._log import _plogger as log from ._model import Model, Builtin

18.6

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93

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null

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1

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4

cc8d7e7d2aa77d67b894e04139516eb7dd376d3b

18

py

Python

tempCodeRunnerFile.py

raacampbell/BrainRender

c8516bfa4a268a67f89766a9a0c51bcebaa2c091

[ "MIT" ]

2

2020-02-26T01:34:35.000Z

2020-08-13T17:12:00.000Z

tempCodeRunnerFile.py

raacampbell/BrainRender

c8516bfa4a268a67f89766a9a0c51bcebaa2c091

[ "MIT" ]

null

tempCodeRunnerFile.py

raacampbell/BrainRender

c8516bfa4a268a67f89766a9a0c51bcebaa2c091

[ "MIT" ]

null

ata/anatomy/data")

18

0.777778

3

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4.666667

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18

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1

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null

0

1

0

4

cc9287fa4e40d4a2a955bb3eb086bef85b7edbfd

188

py

Python

HelloWorld.py

collvey/AutoHotKey

378af50954e0d93af00d73b62b49a053b1e80e83

[ "MIT" ]

null

HelloWorld.py

collvey/AutoHotKey

378af50954e0d93af00d73b62b49a053b1e80e83

[ "MIT" ]

null

HelloWorld.py

collvey/AutoHotKey

378af50954e0d93af00d73b62b49a053b1e80e83

[ "MIT" ]

1

2022-02-21T05:35:43.000Z

import numpy as np import pandas as pd if __name__ == "__main__": print("Hello World") print(np.__version__) # 1.21.4 as of 12/12/2021 print(pd.__version__) # 1.3.5 as of 12/12/2021

26.857143

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ccb4f9562fc431e3b279295ff9fbc88ceac6382c

701

py

Python

nope/octohub/octohub/exceptions.py

nthmost/st-githubdash

b75a790e07759d33f4f374342156147364913326

[ "Apache-2.0" ]

null

nope/octohub/octohub/exceptions.py

nthmost/st-githubdash

b75a790e07759d33f4f374342156147364913326

[ "Apache-2.0" ]

null

nope/octohub/octohub/exceptions.py

nthmost/st-githubdash

b75a790e07759d33f4f374342156147364913326

[ "Apache-2.0" ]

1

2021-01-28T22:12:04.000Z

# Copyright (c) 2013 Alon Swartz <alon@turnkeylinux.org> # # This file is part of OctoHub. # # OctoHub is free software; you can redistribute it and/or modify it under the # terms of the GNU General Public License as published by the Free Software # Foundation; either version 3 of the License, or (at your option) any later # version. import simplejson as json class ResponseError(Exception): """Accessible attributes: error error (AttrDict): Parsed error response """ def __init__(self, error): Exception.__init__(self, error) self.error = error def __str__(self): return json.dumps(self.error, indent=1) class OctoHubError(Exception): pass

25.962963

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null

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1

0

1

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1

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4

cccfb1a255ea012ec33d8d425b742395be020040

159

py

Python

examples/example1.py

mtasic85/pynogil

4150aa655d6bafbb74b6eb5c10e058e8b56ebe54

[ "MIT" ]

null

examples/example1.py

mtasic85/pynogil

4150aa655d6bafbb74b6eb5c10e058e8b56ebe54

[ "MIT" ]

1

2020-05-01T19:19:11.000Z

examples/example1.py

mtasic85/pynogil

4150aa655d6bafbb74b6eb5c10e058e8b56ebe54

[ "MIT" ]

null

N = 1_000_000 a = list(range(N)) b = list(range(N)) # c = [0] * N # c = [a[i] + b[i] for i in range(N)] c = [x + y for x, y in zip(a, b)] s = sum(c) print(s)

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0

4

ccd3585eaca1a08b7e41e6ec5f43d0ed89b5efc5

159

py

Python

project26/main.py

disaisoft/python-course

26aaf6da672efa845977a45e58ffad32ecfff9dc

[ "MIT" ]

null

project26/main.py

disaisoft/python-course

26aaf6da672efa845977a45e58ffad32ecfff9dc

[ "MIT" ]

null

project26/main.py

disaisoft/python-course

26aaf6da672efa845977a45e58ffad32ecfff9dc

[ "MIT" ]

null

""" Diccionarios en python! => tipo de estructuras de datos que te permite ordenar un conjunto no ordenado de pares clave valor! o en ingles key values """

19.875

91

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0

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1

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1

0

null

0

1

0

4

aeaa8f2c301176f8a696d5595458a17c43cbfe19

2,409

py

Python

tests/test_data/test_datasets/test_charades_dataset.py

visaVita/mmaction2

2d7107a2d79b990b7facd3d6f7ac0b6ad974c153

[ "Apache-2.0" ]

null

tests/test_data/test_datasets/test_charades_dataset.py

visaVita/mmaction2

2d7107a2d79b990b7facd3d6f7ac0b6ad974c153

[ "Apache-2.0" ]

null

tests/test_data/test_datasets/test_charades_dataset.py

visaVita/mmaction2

2d7107a2d79b990b7facd3d6f7ac0b6ad974c153

[ "Apache-2.0" ]

null

import copy from mmcv.utils import assert_dict_has_keys from mmaction.datasets import CharadesDataset from .base import BaseTestDataset class TestCharadesDaataset(BaseTestDataset): def test_charades_dataset(self): _charades_test_pipeline = copy.deepcopy(self.charades_test_pipeline) _charades_test_pipeline[0]['test_mode'] = False charades_dataset = CharadesDataset( self.charades_ann_file, _charades_test_pipeline, self.data_prefix, filename_tmpl_prefix='{}', filename_tmpl_suffix='_{:06d}.jpg') charades_infos = charades_dataset.video_infos assert charades_infos[0]['filename_tmpl'] == 'YSKX3_{:06d}.jpg' _charades_test_pipeline = copy.deepcopy(self.charades_test_pipeline) charades_dataset = CharadesDataset( self.charades_ann_file, _charades_test_pipeline, self.data_prefix, filename_tmpl_prefix='img', filename_tmpl_suffix='_{:05d}.jpg', test_mode=True) charades_infos = charades_dataset.video_infos assert set(charades_infos[0]['label']) == set([75, 76, 77, 79]) assert charades_infos[0]['filename_tmpl'] == 'img_{:05d}.jpg' def test_charades_pipeline(self): target_keys = [ 'frame_dir', 'total_frames', 'label', 'filename_tmpl', 'start_index', 'modality' ] # CharadesDataset not in test mode _charades_test_pipeline = copy.deepcopy(self.charades_test_pipeline) _charades_test_pipeline[0]['test_mode'] = False charades_dataset = CharadesDataset( self.charades_ann_file, _charades_test_pipeline, self.data_prefix, filename_tmpl_prefix='img', filename_tmpl_suffix='_{:05d}.jpg') result = charades_dataset[0] assert assert_dict_has_keys(result, target_keys) # CharadesDataset in test mode _charades_test_pipeline = copy.deepcopy(self.charades_test_pipeline) charades_dataset = CharadesDataset( self.charades_ann_file, _charades_test_pipeline, self.data_prefix, filename_tmpl_prefix='img', filename_tmpl_suffix='_{:05d}.jpg', test_mode=True) result = charades_dataset[0] assert assert_dict_has_keys(result, target_keys)

38.854839

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1

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null

0

4

aead70762ef26dad66dff411ab54670dcc72d2d9

107

py

Python

dachar/fixes/array_fixes.py

roocs/dachar

687b6acb535f634791d13a435cded5f97cae8e76

[ "BSD-3-Clause" ]

2

2020-05-01T11:17:06.000Z

2020-11-23T10:37:24.000Z

dachar/fixes/array_fixes.py

roocs/dachar

687b6acb535f634791d13a435cded5f97cae8e76

[ "BSD-3-Clause" ]

69

2020-03-26T15:39:26.000Z

2022-01-14T14:34:39.000Z

dachar/fixes/array_fixes.py

roocs/dachar

687b6acb535f634791d13a435cded5f97cae8e76

[ "BSD-3-Clause" ]

null

from dachar.fixes._base_fix import _BaseDatasetFix from dachar.utils.common import UNDEFINED __all__ = []

21.4

50

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0

null

1

0

1

0

null

0

1

0

4

4e0fd6bebf4b2e49ea31804bd111b575592da4d6

252

py

Python

modules/2.79/bpy/ops/import_anim.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/ops/import_anim.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

modules/2.79/bpy/ops/import_anim.py

cmbasnett/fake-bpy-module

acb8b0f102751a9563e5b5e5c7cd69a4e8aa2a55

[ "MIT" ]

null

def bvh(filepath="", axis_forward='-Z', axis_up='Y', filter_glob="*.bvh", target='ARMATURE', global_scale=1.0, frame_start=1, use_fps_scale=False, update_scene_fps=False, update_scene_duration=False, use_cyclic=False, rotate_mode='NATIVE'): pass

50.4

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0.753968

40

252

4.425

0.725

0.124294

0.180791

0

0.012931

0.079365

252

4

241

63

0.75

0

0.088

0

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0.5

false

0.5

0

0.5

0

null

0

1

0

1

0

null

0

1

0

1

0

4

4e1e9faefa0b8a9a4f17ae2f824f6dfe55831d7d

2,327

py

Python

km_api/functional_tests/know_me/profile/profile_topics/test_profile_topic_detail.py

knowmetools/km-api

e4b72484c42e88a6c0087c9b1d5fef240e66cbb0

[ "Apache-2.0" ]

4

2017-08-03T00:46:31.000Z

2018-11-06T03:32:32.000Z

km_api/functional_tests/know_me/profile/profile_topics/test_profile_topic_detail.py

knowmetools/km-api

e4b72484c42e88a6c0087c9b1d5fef240e66cbb0

[ "Apache-2.0" ]

526

2017-06-27T18:13:59.000Z

2021-06-10T18:00:21.000Z

km_api/functional_tests/know_me/profile/profile_topics/test_profile_topic_detail.py

knowmetools/km-api

e4b72484c42e88a6c0087c9b1d5fef240e66cbb0

[ "Apache-2.0" ]

1

2017-07-10T19:46:27.000Z

from rest_framework import status from test_utils import serialized_time def test_delete_profile_topic( api_client, enable_premium_requirement, profile_topic_factory, user_factory ): """ Premium users should be able to delete their own profile topics. """ password = "password" user = user_factory(has_premium=True, password=password) api_client.log_in(user.primary_email.email, password) topic = profile_topic_factory(profile__km_user__user=user) url = f"/know-me/profile/profile-topics/{topic.pk}/" response = api_client.delete(url) assert response.status_code == status.HTTP_204_NO_CONTENT def test_get_profile_topic( api_client, enable_premium_requirement, profile_topic_factory, user_factory ): """ Premium users should be able to fetch their own profile topics. """ password = "password" user = user_factory(has_premium=True, password=password) api_client.log_in(user.primary_email.email, password) topic = profile_topic_factory(profile__km_user__user=user) url = f"/know-me/profile/profile-topics/{topic.pk}/" response = api_client.get(url) assert response.status_code == status.HTTP_200_OK assert response.json() == { "id": topic.pk, "url": api_client.build_full_url(url), "created_at": serialized_time(topic.created_at), "updated_at": serialized_time(topic.updated_at), "is_detailed": topic.is_detailed, "items_url": api_client.build_full_url(f"{url}items/"), "name": topic.name, "permissions": {"read": True, "write": True}, "profile_id": topic.profile.pk, } def test_patch_profile_topic( api_client, enable_premium_requirement, profile_topic_factory, user_factory ): """ Premium users should be able to update their own profile items. """ password = "password" user = user_factory(has_premium=True, password=password) api_client.log_in(user.primary_email.email, password) topic = profile_topic_factory( name="Old Topic", profile__km_user__user=user ) url = f"/know-me/profile/profile-topics/{topic.pk}/" data = {"name": "New Name"} response = api_client.patch(url, data) assert response.status_code == status.HTTP_200_OK assert response.json()["name"] == data["name"]

31.876712

79

0.707349

309

2,327

5.019417

0.229773

0.06383

0.073501

0.040619

0.734365

0.703417

0.677627

0

0.004724

0.181349

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72

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32.319444

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null

0

1

0

1

0

null

0

1

0

4

4e336f19d38b70b8fca6fbd983666c605eadbf2d

100

py

Python

python/y2020/d22/__main__.py

luke-dixon/aoc

94851a5866a1ef29e3ba10098160cba883882683

[ "MIT" ]

1

2021-01-12T20:04:01.000Z

python/y2020/d22/__main__.py

luke-dixon/aoc

94851a5866a1ef29e3ba10098160cba883882683

[ "MIT" ]

null

python/y2020/d22/__main__.py

luke-dixon/aoc

94851a5866a1ef29e3ba10098160cba883882683

[ "MIT" ]

null

import sys from .day22 import Day22 if __name__ == '__main__': Day22(args=sys.argv[1:]).run()

14.285714

34

0.67

15

100

3.933333

0.733333

0

0.084337

0.17

100

6

35

16.666667

0.626506

0

0.08

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

9dc19359e23bd77467fd67e776160a43ea20893c

2,731

py

Python

script/py-app/options.py

Intelligent-Systems-Lab/ISL-BCFL

42ceb86708a76e28b31c22b33c15ee9a6a745ec7

[ "Apache-2.0" ]

null

script/py-app/options.py

Intelligent-Systems-Lab/ISL-BCFL

42ceb86708a76e28b31c22b33c15ee9a6a745ec7

[ "Apache-2.0" ]

null

script/py-app/options.py

Intelligent-Systems-Lab/ISL-BCFL

42ceb86708a76e28b31c22b33c15ee9a6a745ec7

[ "Apache-2.0" ]

null

import configparser import sys # sys.path.append('../option') # print(sys.path) from option.dgc import config_dgc class config_bcfl: def __init__(self, config): self.config = dict(config._sections["bcfl"]) def get_sender(self): return self.config["sender"] def get_db(self): return self.config["db"] def get_app_port(self) -> int: return int(self.config["app_port"]) def get_save_path(self): return self.config["save_path"] def get_scale_nodes(self) -> int: return int(self.config["scale_nodes"]) class config_trainer: def __init__(self, config): self.config = dict(config._sections["trainer"]) def get_device(self): return self.config["device"] def get_dataset(self): return self.config["dataset"] def get_dataset_path(self): return self.config["dataset_path"] def get_local_bs(self) -> int: return int(self.config["local_bs"]) def get_local_ep(self) -> int: return int(self.config["local_ep"]) def get_frac(self) -> float: return float(self.config["frac"]) def get_lr(self) -> float: return float(self.config["lr"]) def get_optimizer(self): return self.config["optimizer"] def get_lossfun(self): return self.config["lossfun"] def get_max_iteration(self) -> int: return int(self.config["max_iteration"]) # warmup def get_start_lr(self) -> float: return float(self.config["start_lr"]) def get_max_lr(self) -> float: return float(self.config["max_lr"]) def get_min_lr(self) -> float: return float(self.config["min_lr"]) def get_base_step(self) -> int: return int(self.config["base_step"]) def get_end_step(self) -> int: return int(self.config["end_step"]) class config_eval: def __init__(self, config): self.config = dict(config._sections["eval"]) def get_ipfsaddr(self): return self.config["ipfsaddr"] def get_output(self): return self.config["output"] def get_title(self): return self.config["title"] class config_agg: def __init__(self, config): self.config = dict(config._sections["aggregator"]) def get_threshold(self) -> int: return int(self.config["threshold"]) class Configer(): def __init__(self, configfile): self.config = configparser.ConfigParser() self.config.read(configfile) self.bcfl = config_bcfl(self.config) self.trainer = config_trainer(self.config) self.eval = config_eval(self.config) self.agg = config_agg(self.config) self.dgc = config_dgc(self.config)

24.603604

58

0.632369

356

2,731

4.620787

0.157303

0.237082

0.093617

0.133739

0.392705

0.342857

0.261398

0.109422

0

0.23691

2,731

110

59

24.827273

0.789347

0.018674

0

0.055556

0

0.075486

0

1

0.402778

false

0

0.041667

0.333333

0.847222

0

null

1

0

null

0

1

0

1

0

4

9dcd0f8394fb69c421ee1271bf4aa2e0c4105c6f

585

py

Python

fractimation/data_models/complex_polynomial_iteration_data.py

Jman420/fractimation

3b33958b76528a9c7f97af24818d7a1721b1201b

[ "Apache-2.0" ]

null

fractimation/data_models/complex_polynomial_iteration_data.py

Jman420/fractimation

3b33958b76528a9c7f97af24818d7a1721b1201b

[ "Apache-2.0" ]

1

2018-06-20T19:44:39.000Z

2020-03-11T13:10:31.000Z

fractimation/data_models/complex_polynomial_iteration_data.py

Jman420/fractimation

3b33958b76528a9c7f97af24818d7a1721b1201b

[ "Apache-2.0" ]

2

2018-06-20T19:41:42.000Z

2019-08-15T03:30:50.000Z

class ComplexPolynomialIterationData(object): iteration_values = None exploded_indexes = None remaining_indexes = None def __init__(self, iteration_values, exploded_indexes, remaining_indexes): self.iteration_values = iteration_values self.exploded_indexes = exploded_indexes self.remaining_indexes = remaining_indexes def get_iteration_values(self): return self.iteration_values def get_exploded_indexes(self): return self.exploded_indexes def get_remaining_indexes(self): return self.remaining_indexes

29.25

78

0.747009

63

585

6.539683

0.222222

0.218447

0.13835

0.101942

0

0.201709

585

19

79

30.789474

0.882227

0

1

0.285714

false

0

0.214286

0.785714

0

null

1

0

null

0

1

0

1

0

4

9ddfb2d0b218504a10cce98c11495faef4fd45ea

98

py

Python

src/SEIRcity/cli/variables/__init__.py

UT-Covid/compartmental_model_case_studies

324e2c92453c928e64c637d6e6fbe570fb714cdb

[ "BSD-3-Clause-Clear" ]

1

2021-02-04T14:59:32.000Z

src/SEIRcity/cli/variables/__init__.py

UT-Covid/compartmental_model_case_studies

324e2c92453c928e64c637d6e6fbe570fb714cdb

[ "BSD-3-Clause-Clear" ]

null

src/SEIRcity/cli/variables/__init__.py

UT-Covid/compartmental_model_case_studies

324e2c92453c928e64c637d6e6fbe570fb714cdb

[ "BSD-3-Clause-Clear" ]

null

from . import (control, demo, demographics, epi, interventions, timings, matrices)

32.666667

72

0.653061

9

98

7.111111

1

0

0.255102

98

2

73

49

0.876712

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

d1b48fc8ade66859f1ef01caa204d7a52eb48baf

414

py

Python

python_practice/slicing.py

vishalvb/practice

4c38f863408c91aa072bd20510f098043fecd043

[ "MIT" ]

null

python_practice/slicing.py

vishalvb/practice

4c38f863408c91aa072bd20510f098043fecd043

[ "MIT" ]

null

python_practice/slicing.py

vishalvb/practice

4c38f863408c91aa072bd20510f098043fecd043

[ "MIT" ]

null

#List slicing my_list = [0,1,2,3,4,5,6,7,8,9] print("list = ",my_list) print("my_list[0:]",my_list[0:]) print("my_list[:]",my_list[:]) print("my_list[:-1]",my_list[:-1]) print("my_list[1:5]",my_list[1:5]) #list(start:end:step) print("my_list[1::3]",my_list[1::3]) print("my_list[-1:1:-1]",my_list[-1:1:-1]) sample_url = 'https://mydomain.com' print("sample_url =",sample_url) print("reverse", sample_url[::-1])

24.352941

42

0.642512

85

414

2.917647

0.270588

0.33871

0.225806

0.193548

0.241935

0.169355

0

0.07455

0.060386

414

17

43

24.352941

0.562982

0.077295

0

0.314961

0

1

0

false

0

0.818182

0

null

1

0

null

0

1

0

4

d1c010acca335b57149b8fcf21cd70e0cdab7e59

92

py

Python

codes_auto/253.meeting-rooms-ii.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

codes_auto/253.meeting-rooms-ii.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

codes_auto/253.meeting-rooms-ii.py

smartmark-pro/leetcode_record

6504b733d892a705571eb4eac836fb10e94e56db

[ "MIT" ]

null

# # @lc app=leetcode.cn id=253 lang=python3 # # [253] meeting-rooms-ii # None # @lc code=end

13.142857

41

0.663043

16

92

3.8125

0.875

0

0.089744

0.152174

92

7

42

13.142857

0.692308

0.815217

0

1

0

true

0

1

0

null

0

1

0

1

0

null

0

1

0

4

d1c012d9127f6bf5fba2df1d2483d6cb1fa5c938

238

py

Python

datasets/ImageNet.py

greg1232/intelligent-camera

f1da98c0bb87ecf84646d2a183a34e04f762a4ca

[ "Apache-2.0" ]

null

datasets/ImageNet.py

greg1232/intelligent-camera

f1da98c0bb87ecf84646d2a183a34e04f762a4ca

[ "Apache-2.0" ]

null

datasets/ImageNet.py

greg1232/intelligent-camera

f1da98c0bb87ecf84646d2a183a34e04f762a4ca

[ "Apache-2.0" ]

1

2018-03-07T15:40:46.000Z

from datasets.ImageNetSynsets import ImageNetSynsets class ImageNet: def __init__(self): self.usedLabels = ImageNetSynsets.getUsedLabels() def getLabelForLogit(self, logitId): return self.usedLabels[logitId]

18.307692

57

0.735294

22

238

7.772727

0.636364

0.163743

0

0.193277

238

12

58

19.833333

0.890625

0

1

0.333333

false

0

0.166667

0.833333

0

1

0

null

0

null

0

1

0

1

0

4

d1c5dcdb89370947a58883709947225cdebb0628

11,269

py

Python

dentexchange/apps/membership/migrations/0001_initial.py

hellhound/dentexchange

58ae303e842404fc9e1860f294ec8044a332bef3

[ "BSD-3-Clause" ]

1

2017-11-09T23:09:51.000Z

dentexchange/apps/membership/migrations/0001_initial.py

hellhound/dentexchange

58ae303e842404fc9e1860f294ec8044a332bef3

[ "BSD-3-Clause" ]

null

dentexchange/apps/membership/migrations/0001_initial.py

hellhound/dentexchange

58ae303e842404fc9e1860f294ec8044a332bef3

[ "BSD-3-Clause" ]

3

2015-08-11T16:58:47.000Z

2021-01-04T08:23:51.000Z

# -*- coding: utf-8 -*- from south.utils import datetime_utils as datetime from south.db import db from south.v2 import SchemaMigration from django.db import models class Migration(SchemaMigration): def forwards(self, orm): # Adding model 'Plan' db.create_table(u'membership_plan', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('title', self.gf('django.db.models.fields.CharField')(max_length=50)), ('for_employer', self.gf('django.db.models.fields.BooleanField')(default=True)), ('content_description', self.gf('tinymce.models.HTMLField')()), )) db.send_create_signal(u'membership', ['Plan']) # Adding model 'PlanPrice' db.create_table(u'membership_planprice', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('plan', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['membership.Plan'])), ('price', self.gf('django.db.models.fields.DecimalField')(default=0, max_digits=9, decimal_places=2)), ('tag', self.gf('django.db.models.fields.CharField')(max_length=50, blank=True)), ('is_free', self.gf('django.db.models.fields.BooleanField')(default=False)), ('duration_magnitude', self.gf('django.db.models.fields.PositiveIntegerField')(default=0)), ('duration_unit', self.gf('django.db.models.fields.PositiveSmallIntegerField')()), ('total_allowed_job_postings', self.gf('django.db.models.fields.PositiveIntegerField')(default=1)), )) db.send_create_signal(u'membership', ['PlanPrice']) # Adding model 'Membership' db.create_table(u'membership_membership', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('user', self.gf('django.db.models.fields.related.OneToOneField')(to=orm['auth.User'], unique=True)), ('customer_id', self.gf('django.db.models.fields.CharField')(max_length=100, null=True, blank=True)), ('cc_last4', self.gf('django.db.models.fields.PositiveIntegerField')(null=True)), ('plan_type', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['membership.PlanPrice'])), ('coupon_code', self.gf('django.db.models.fields.related.ForeignKey')(to=orm['membership.Coupon'], null=True, blank=True)), ('first_name', self.gf('django.db.models.fields.CharField')(max_length=100)), ('last_name', self.gf('django.db.models.fields.CharField')(max_length=100)), ('email', self.gf('django.db.models.fields.EmailField')(max_length=75)), ('address', self.gf('django.db.models.fields.CharField')(max_length=200)), ('zip_code', self.gf('django.db.models.fields.DecimalField')(max_digits=5, decimal_places=0)), ('city', self.gf('django.db.models.fields.CharField')(max_length=100)), ('state', self.gf('django.db.models.fields.CharField')(max_length=100)), ('country', self.gf('django.db.models.fields.CharField')(max_length=2)), ('end_date', self.gf('django.db.models.fields.DateTimeField')(null=True)), ('remaining_job_postings', self.gf('django.db.models.fields.PositiveIntegerField')(default=0, blank=True)), )) db.send_create_signal(u'membership', ['Membership']) # Adding model 'Coupon' db.create_table(u'membership_coupon', ( (u'id', self.gf('django.db.models.fields.AutoField')(primary_key=True)), ('code', self.gf('django.db.models.fields.CharField')(unique=True, max_length=10, blank=True)), ('discount', self.gf('django.db.models.fields.DecimalField')(max_digits=9, decimal_places=2)), ('claimed_by', self.gf('django.db.models.fields.related.OneToOneField')(to=orm['auth.User'], unique=True, null=True, blank=True)), )) db.send_create_signal(u'membership', ['Coupon']) def backwards(self, orm): # Deleting model 'Plan' db.delete_table(u'membership_plan') # Deleting model 'PlanPrice' db.delete_table(u'membership_planprice') # Deleting model 'Membership' db.delete_table(u'membership_membership') # Deleting model 'Coupon' db.delete_table(u'membership_coupon') models = { u'auth.group': { 'Meta': {'object_name': 'Group'}, u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '80'}), 'permissions': ('django.db.models.fields.related.ManyToManyField', [], {'to': u"orm['auth.Permission']", 'symmetrical': 'False', 'blank': 'True'}) }, u'auth.permission': { 'Meta': {'ordering': "(u'content_type__app_label', u'content_type__model', u'codename')", 'unique_together': "((u'content_type', u'codename'),)", 'object_name': 'Permission'}, 'codename': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'content_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['contenttypes.ContentType']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, u'auth.user': { 'Meta': {'object_name': 'User'}, 'date_joined': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75', 'blank': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'groups': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "u'user_set'", 'blank': 'True', 'to': u"orm['auth.Group']"}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_active': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), 'is_staff': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'is_superuser': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'last_login': ('django.db.models.fields.DateTimeField', [], {'default': 'datetime.datetime.now'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '30', 'blank': 'True'}), 'password': ('django.db.models.fields.CharField', [], {'max_length': '128'}), 'user_permissions': ('django.db.models.fields.related.ManyToManyField', [], {'symmetrical': 'False', 'related_name': "u'user_set'", 'blank': 'True', 'to': u"orm['auth.Permission']"}), 'username': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '30'}) }, u'contenttypes.contenttype': { 'Meta': {'ordering': "('name',)", 'unique_together': "(('app_label', 'model'),)", 'object_name': 'ContentType', 'db_table': "'django_content_type'"}, 'app_label': ('django.db.models.fields.CharField', [], {'max_length': '100'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'model': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'name': ('django.db.models.fields.CharField', [], {'max_length': '100'}) }, u'membership.coupon': { 'Meta': {'object_name': 'Coupon'}, 'claimed_by': ('django.db.models.fields.related.OneToOneField', [], {'to': u"orm['auth.User']", 'unique': 'True', 'null': 'True', 'blank': 'True'}), 'code': ('django.db.models.fields.CharField', [], {'unique': 'True', 'max_length': '10', 'blank': 'True'}), 'discount': ('django.db.models.fields.DecimalField', [], {'max_digits': '9', 'decimal_places': '2'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}) }, u'membership.membership': { 'Meta': {'object_name': 'Membership'}, 'address': ('django.db.models.fields.CharField', [], {'max_length': '200'}), 'cc_last4': ('django.db.models.fields.PositiveIntegerField', [], {'null': 'True'}), 'city': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'country': ('django.db.models.fields.CharField', [], {'max_length': '2'}), 'coupon_code': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['membership.Coupon']", 'null': 'True', 'blank': 'True'}), 'customer_id': ('django.db.models.fields.CharField', [], {'max_length': '100', 'null': 'True', 'blank': 'True'}), 'email': ('django.db.models.fields.EmailField', [], {'max_length': '75'}), 'end_date': ('django.db.models.fields.DateTimeField', [], {'null': 'True'}), 'first_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'last_name': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'plan_type': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['membership.PlanPrice']"}), 'remaining_job_postings': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0', 'blank': 'True'}), 'state': ('django.db.models.fields.CharField', [], {'max_length': '100'}), 'user': ('django.db.models.fields.related.OneToOneField', [], {'to': u"orm['auth.User']", 'unique': 'True'}), 'zip_code': ('django.db.models.fields.DecimalField', [], {'max_digits': '5', 'decimal_places': '0'}) }, u'membership.plan': { 'Meta': {'ordering': "['pk']", 'object_name': 'Plan'}, 'content_description': ('tinymce.models.HTMLField', [], {}), 'for_employer': ('django.db.models.fields.BooleanField', [], {'default': 'True'}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'title': ('django.db.models.fields.CharField', [], {'max_length': '50'}) }, u'membership.planprice': { 'Meta': {'object_name': 'PlanPrice'}, 'duration_magnitude': ('django.db.models.fields.PositiveIntegerField', [], {'default': '0'}), 'duration_unit': ('django.db.models.fields.PositiveSmallIntegerField', [], {}), u'id': ('django.db.models.fields.AutoField', [], {'primary_key': 'True'}), 'is_free': ('django.db.models.fields.BooleanField', [], {'default': 'False'}), 'plan': ('django.db.models.fields.related.ForeignKey', [], {'to': u"orm['membership.Plan']"}), 'price': ('django.db.models.fields.DecimalField', [], {'default': '0', 'max_digits': '9', 'decimal_places': '2'}), 'tag': ('django.db.models.fields.CharField', [], {'max_length': '50', 'blank': 'True'}), 'total_allowed_job_postings': ('django.db.models.fields.PositiveIntegerField', [], {'default': '1'}) } } complete_apps = ['membership']

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py

Python

JYTools/util/__init__.py

meisanggou/Tools

66acd710e4227a3a35acf3b804ce12f1de518912

[ "MIT" ]

null

JYTools/util/__init__.py

meisanggou/Tools

66acd710e4227a3a35acf3b804ce12f1de518912

[ "MIT" ]

3

2018-01-24T08:16:55.000Z

2018-01-30T06:55:59.000Z

JYTools/util/__init__.py

meisanggou/Tools

66acd710e4227a3a35acf3b804ce12f1de518912

[ "MIT" ]

null

#! /usr/bin/env python # coding: utf-8 __author__ = '鹛桑够' def is_num(v): return isinstance(v, (int, long)) def is_number(v): return is_num(v)

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0609da20528d192de8cb14b5c008b1c3c935ada1

323

py

Python

utils/textboxes_utils/__init__.py

Jaskaran197/Red-blood-cell-detection-SSD

a33b330ad17454a7425aa7f57818c0a41b4e0ff9

[ "MIT" ]

null

utils/textboxes_utils/__init__.py

Jaskaran197/Red-blood-cell-detection-SSD

a33b330ad17454a7425aa7f57818c0a41b4e0ff9

[ "MIT" ]

null

utils/textboxes_utils/__init__.py

Jaskaran197/Red-blood-cell-detection-SSD

a33b330ad17454a7425aa7f57818c0a41b4e0ff9

[ "MIT" ]

null

from .decode_predictions import decode_predictions from .get_bboxes_from_quads import get_bboxes_from_quads from .sort_quads_vertices import sort_quads_vertices from .read_sample import read_sample from .encode_textboxes import encode_textboxes from .get_samples import get_samples from .get_num_quads import get_num_quads

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ae2212b09540e1aca1b410f90b1633bbcb466854

366

py

Python

coworker/services/admin.py

upstar77/spacemap

1babcecabc42b325dc647294599c309d6bda1ad5

[ "MIT" ]

null

coworker/services/admin.py

upstar77/spacemap

1babcecabc42b325dc647294599c309d6bda1ad5

[ "MIT" ]

null

coworker/services/admin.py

upstar77/spacemap

1babcecabc42b325dc647294599c309d6bda1ad5

[ "MIT" ]

null

from django.contrib import admin from mptt.admin import DraggableMPTTAdmin from .models import Category, ServiceAttribute, Service class CategoryAdmin(DraggableMPTTAdmin): prepopulated_fields = {'slug': ['name']} admin.site.register(Category, CategoryAdmin) # admin.site.register(Service) admin.site.register(ServiceAttribute) admin.site.register(Service)

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ae2f667a5035fa2197d7b956835e9352ec86b0ac

61

py

Python

tests/__init__.py

ryu57/pyHalo

61b9ab49d76f3552f5680b2e457fbd3e49b9cc89

[ "MIT" ]

7

2020-12-09T23:58:34.000Z

2022-03-13T12:18:32.000Z

tests/__init__.py

ryu57/pyHalo

61b9ab49d76f3552f5680b2e457fbd3e49b9cc89

[ "MIT" ]

8

2020-10-12T21:30:22.000Z

2022-01-25T16:04:54.000Z

tests/__init__.py

ryu57/pyHalo

61b9ab49d76f3552f5680b2e457fbd3e49b9cc89

[ "MIT" ]

6

2021-06-07T16:30:41.000Z

2022-01-12T16:58:04.000Z

# -*- coding: utf-8 -*- """Unit test package for pyhalo."""

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ae5a592ed4d7a29354b4927c56d117faff1c1706

268

py

Python

sdv/constraints/errors.py

HDI-Project/SDV

04cfd6557d3676fa487e49e1cbd56eecd69a9bc6

[ "MIT" ]

39

2018-07-07T01:02:42.000Z

2019-12-17T13:53:47.000Z

sdv/constraints/errors.py

HDI-Project/SDV

04cfd6557d3676fa487e49e1cbd56eecd69a9bc6

[ "MIT" ]

75

2018-06-29T00:35:02.000Z

2019-12-23T16:59:55.000Z

sdv/constraints/errors.py

HDI-Project/SDV

04cfd6557d3676fa487e49e1cbd56eecd69a9bc6

[ "MIT" ]

31

2018-10-29T13:16:38.000Z

2020-01-02T13:10:42.000Z

"""Constraint Exceptions.""" class MissingConstraintColumnError(Exception): """Error to use when constraint is provided a table with missing columns.""" class MultipleConstraintsErrors(Exception): """Error used to represent a list of constraint errors."""

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ae80379285ef546ad88639db292da4b378b3d383

6,898

py

Python

test/unit_tests/test_db.py

Georgi2704/orchestrator-core

bf072caf6b83ac8401426879df41e967f33f9f85

[ "Apache-2.0" ]

15

2021-02-18T15:30:25.000Z

2022-02-19T18:57:51.000Z

test/unit_tests/test_db.py

Georgi2704/orchestrator-core

bf072caf6b83ac8401426879df41e967f33f9f85

[ "Apache-2.0" ]

70

2021-02-24T17:59:23.000Z

2022-03-31T08:24:56.000Z

test/unit_tests/test_db.py

Georgi2704/orchestrator-core

bf072caf6b83ac8401426879df41e967f33f9f85

[ "Apache-2.0" ]

6

2021-02-23T18:10:15.000Z

2022-02-15T16:07:38.000Z

from typing import List from unittest import mock from uuid import UUID import pytest from sqlalchemy.orm.exc import NoResultFound from orchestrator.db import ResourceTypeTable, SubscriptionTable, WorkflowTable, db, transactional from orchestrator.targets import Target def test_transactional(): def insert_wf(state): wf = WorkflowTable(name="Test transactional", target=Target.CREATE, description="Testing 1, 2, 3!") db.session.add(wf) def insert_wf_error(state): wf = WorkflowTable( name="Test transactional [ERROR]", target=Target.CREATE, description="Testing 1, 2, 3! BOOM!" ) db.session.add(wf) raise Exception("Let's wreck some havoc!") logger = mock.MagicMock() with transactional(db, logger): insert_wf({}) logger.assert_has_calls( [ mock.call.debug("Temporarily disabling commit."), mock.call.debug("Reenabling commit."), mock.call.debug("Committing transaction."), ] ) logger.reset_mock() with pytest.raises(Exception): with transactional(db, logger): insert_wf_error({}) logger.assert_has_calls( [ mock.call.debug("Temporarily disabling commit."), mock.call.debug("Reenabling commit."), mock.call.warning("Rolling back transaction."), ] ) def test_transactional_no_commit(): def insert_wf(state): wf = WorkflowTable( name="Test transactional should not be committed", target=Target.CREATE, description="Testing 1, 2, 3!" ) db.session.add(wf) db.session.commit() raise Exception("Lets rollback") logger = mock.MagicMock() with pytest.raises(Exception, match="Lets rollback"): with transactional(db, logger): insert_wf({}) assert ( db.session.query(WorkflowTable).filter(WorkflowTable.name == "Test transactional should not be committed").all() == [] ) logger.assert_has_calls( [ mock.call.warning( "Step function tried to issue a commit. It should not! Will execute commit on behalf of step function when it returns." ), ] ) def test_transactional_no_commit_second_thread(): def insert_wf(state): wf = WorkflowTable( name="Test transactional should not be committed", target=Target.CREATE, description="Testing 1, 2, 3!" ) db.session.add(wf) db.session.commit() # Create new database session to simulate another workflow/api handler running at the same time # This is also a workaround for our disable commit wrapper but it should be reasonable obvious that # someone is fucking around if you see `with db.database_scope():` in actual production code with db.database_scope(): wf2 = WorkflowTable( name="Test transactional should be committed", target=Target.CREATE, description="Testing 1, 2, 3!" ) db.session.add(wf2) db.session.commit() raise Exception("Lets rollback") logger = mock.MagicMock() with pytest.raises(Exception, match="Lets rollback"): with transactional(db, logger): insert_wf({}) assert db.session.query(WorkflowTable).filter(WorkflowTable.name == "Test transactional should be committed").one() assert ( db.session.query(WorkflowTable).filter(WorkflowTable.name == "Test transactional should not be committed").all() == [] ) logger.assert_has_calls( [ mock.call.warning( "Step function tried to issue a commit. It should not! Will execute commit on behalf of step function when it returns." ), ] ) def test_autouse_fixture_rolls_back_aaa(): # We want to test whether a change committed to the database in one test is visible to other tests (as in really # persisted to the database). Of course such a change should not be visible if our `fastapi_app` and `database` # autouse fixtures work as advertised. # # However, tests should be independent of each other and we cannot assume one test runs before the other. Hence # this test comes in two versions: one with the `_aaa` postfix and one with the `_bbb` postfix. Both will test # for the presence of a change the other test thinks it has committed to the database. If one of the tests (the # one that runs after the other) finds the change the other has committed our fixtures don't work properly. # Using ResourceTypeTable as it's a simple model than doesn't require foreign keys. rt = ResourceTypeTable(resource_type="aaa", description="aaa") # print(db) # print(dir(db)) db.session.add(rt) db.session.commit() with pytest.raises(NoResultFound): ResourceTypeTable.query.filter(ResourceTypeTable.resource_type == "bbb").one() def test_autouse_fixture_rolls_back_bbb(): # We want to test whether a change committed to the database in one test is visible to other tests (as in really # persisted to the database). Of course such a change should not be visible if our `fastapi_app` and `database` # autouse fixtures work as advertised. # # However, tests should be independent of each other and we cannot assume one test runs before the other. Hence # this test comes in two versions: one with the `_aaa` postfix and one with the `_bbb` postfix. Both will test # for the presence of a change the other test thinks it has committed to the database. If one of the tests (the # one that runs after the other) finds the change the other has committed our fixtures don't work properly. # Using ResourceTypeTable as it's a simple model than doesn't require foreign keys. rt = ResourceTypeTable(resource_type="bbb", description="bbb") db.session.add(rt) db.session.commit() with pytest.raises(NoResultFound): ResourceTypeTable.query.filter(ResourceTypeTable.resource_type == "aaa").one() def test_full_text_search(generic_subscription_1): def get_subs_tsq(query: str) -> List[SubscriptionTable]: subs = SubscriptionTable.query.search(query).all() return subs subs = get_subs_tsq("Generic Subscription One") assert subs[0].subscription_id == UUID(generic_subscription_1) subs = get_subs_tsq("description:Generic Subscription One") assert subs[0].subscription_id == UUID(generic_subscription_1) subs = get_subs_tsq("rt_2: 42") assert subs[0].subscription_id == UUID(generic_subscription_1) def test_str_method(): assert ( str(SubscriptionTable()) == "SubscriptionTable(subscription_id=None, description=None, status=None, product_id=None, customer_id=None, insync=None, start_date=None, end_date=None, note=None)" )

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8847e93e00316a46774725a7494f8c2747ec2138

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py

Python

wagtail/contrib/routable_page/__init__.py

brownaa/wagtail

c97bc56c6822eb1b6589d5c33e07f71acfc48845

[ "BSD-3-Clause" ]

8,851

2016-12-09T19:01:45.000Z

2022-03-31T04:45:06.000Z

wagtail/contrib/routable_page/__init__.py

brownaa/wagtail

c97bc56c6822eb1b6589d5c33e07f71acfc48845

[ "BSD-3-Clause" ]

5,197

2016-12-09T19:24:37.000Z

2022-03-31T22:17:55.000Z

wagtail/contrib/routable_page/__init__.py

brownaa/wagtail

c97bc56c6822eb1b6589d5c33e07f71acfc48845

[ "BSD-3-Clause" ]

2,548

2016-12-09T18:16:55.000Z

2022-03-31T21:34:38.000Z

default_app_config = 'wagtail.contrib.routable_page.apps.WagtailRoutablePageAppConfig'

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8851a4ae6c51fe815572c241a8a9059d0ad4fca7

76

py

Python

command_option.py

Andrusyshyn-Orest/notebook

4646b35816426cff7e7b1e6116f3b9e53053c62a

[ "MIT" ]

null

command_option.py

Andrusyshyn-Orest/notebook

4646b35816426cff7e7b1e6116f3b9e53053c62a

[ "MIT" ]

null

command_option.py

Andrusyshyn-Orest/notebook

4646b35816426cff7e7b1e6116f3b9e53053c62a

[ "MIT" ]

null

""" GitHub repository: https://github.com/Andrusyshyn-Orest/notebook.git """

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8884960f8a67c7a8390cb8a3ceade1f806c58cea

404

py

Python

Core/solar_tech/pv_efficiency.py

ncatunda/hive

721731ce83c9ccd4ff1db224824a234035fbcd30

[ "MIT" ]

null

Core/solar_tech/pv_efficiency.py

ncatunda/hive

721731ce83c9ccd4ff1db224824a234035fbcd30

[ "MIT" ]

null

Core/solar_tech/pv_efficiency.py

ncatunda/hive

721731ce83c9ccd4ff1db224824a234035fbcd30

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ The data is (should be) based on the lecture Energie und Klimasysteme II, Erneuerbare Energieerzeugung am Gebäude, FS 2019 """ from __future__ import print_function def get_pv_efficiency(pv_efficiency): #return "\n".join("{key}: {value}".format(key=key, value=value) # for key, value in pv_efficiency.items()) return pv_efficiency['efficiency']

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py

Python

tests/launchagents/examples/unload.py

looking-for-a-job/launchagents.py

38b0f1d109b67d5828a8441acdb56b4fffc43aa2

[ "Unlicense" ]

2

2020-07-30T19:19:52.000Z

2020-11-22T01:42:23.000Z

tests/launchagents/examples/unload.py

andrewp-as-is/launchagents.py

38b0f1d109b67d5828a8441acdb56b4fffc43aa2

[ "Unlicense" ]

1

2019-03-12T05:14:01.000Z

2019-03-13T07:45:47.000Z

tests/launchagents/examples/unload.py

andrewp-as-is/launchagents.py

38b0f1d109b67d5828a8441acdb56b4fffc43aa2

[ "Unlicense" ]

null

#!/usr/bin/env python import launchagents launchagents.unload()

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31f8b25873416ecb946ecb4a52a7e99bef8b34d0

143

py

Python

reddit2telegram/channels/r_crackwatch/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

187

2016-09-20T09:15:54.000Z

2022-03-29T12:22:33.000Z

reddit2telegram/channels/r_crackwatch/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

84

2016-09-22T14:25:07.000Z

2022-03-19T01:26:17.000Z

reddit2telegram/channels/r_crackwatch/app.py

mainyordle/reddit2telegram

1163e15aed3b6ff0fba65b222d3d9798f644c386

[ "MIT" ]

172

2016-09-21T15:39:39.000Z

2022-03-16T15:15:58.000Z

#encoding:utf-8 subreddit = 'crackwatch' t_channel = '@r_crackwatch' def send_post(submission, r2t): return r2t.send_simple(submission)

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py

Python

pycatia/space_analyses_interfaces/section.py

evereux/catia_python

08948585899b12587b0415ce3c9191a408b34897

[ "MIT" ]

90

2019-02-21T10:05:28.000Z

2022-03-19T01:53:41.000Z

pycatia/space_analyses_interfaces/section.py

Luanee/pycatia

ea5eef8178f73de12404561c00baf7a7ca30da59

[ "MIT" ]

99

2019-05-21T08:29:12.000Z

2022-03-25T09:55:15.000Z

pycatia/space_analyses_interfaces/section.py

Luanee/pycatia

ea5eef8178f73de12404561c00baf7a7ca30da59

[ "MIT" ]

26

2019-04-04T06:31:36.000Z

2022-03-30T07:24:47.000Z

#! usr/bin/python3.6 """ Module initially auto generated using V5Automation files from CATIA V5 R28 on 2020-07-06 14:02:20.222384 .. warning:: The notes denoted "CAA V5 Visual Basic Help" are to be used as reference only. They are there as a guide as to how the visual basic / catscript functions work and thus help debugging in pycatia. """ from typing import TYPE_CHECKING from pycatia.navigator_interfaces.annotated_views import AnnotatedViews from pycatia.navigator_interfaces.group import Group from pycatia.navigator_interfaces.marker_3Ds import Marker3Ds from pycatia.system_interfaces.any_object import AnyObject from pycatia.system_interfaces.system_service import SystemService if TYPE_CHECKING: from pycatia.in_interfaces.document import Document class Section(AnyObject): """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | System.IUnknown | System.IDispatch | System.CATBaseUnknown | System.CATBaseDispatch | System.AnyObject | Section | | Represents the Section object. | The Section object is a specification of a sectioning display and | computationwith a section plane, section slice or section box. """ def __init__(self, com_object): super().__init__(com_object) self.section = com_object @property def annotated_views(self) -> AnnotatedViews: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property AnnotatedViews() As AnnotatedViews (Read Only) | | Returns the AnnotatedViews collection of the section. | | Example: | | This example retrieves the AnnotatedViews collection of NewSection | Section. | | | Dim TheAnnotatedViewsList As AnnotatedViews | Set TheAnnotatedViewsList = NewSection.AnnotatedViews :return: AnnotatedViews :rtype: AnnotatedViews """ return AnnotatedViews(self.section.AnnotatedViews) @property def behavior(self) -> int: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Behavior() As CatSectionBehavior | | Returns or sets the general behavior of the section: Freeze, Automatic | update, manual update | | The behavior value are defined in CatSectionBehavior. | | Example: | | The first example retrieves the behavior of NewSection | Section. | | | Dim SectionBehavior As CatSectionBehavior | Behavior = NewSection.Behavior | | | | | | The second example sets the behavior of NewSection | Section. | | | NewSection.Behavior = catSectionBehaviorAutomatic :return: int :rtype: int """ return self.section.Behavior @behavior.setter def behavior(self, value: int): """ :param int value: """ self.section.Behavior = value @property def cut_mode(self) -> int: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property CutMode() As long | | Returns or sets the cutting mode of the section. | | The cutting mode value is 1 for clipping or 0 without | clipping. | | Example: | | The first example retrieves the cutting mode of NewSection | Section. | | | Dim SectionMode As Integer | SectionMode = NewSection.CutMode | | | | | | The second example sets the cutting mode of NewSection | Section. | | | NewSection.CutMode = 1 :return: int :rtype: int """ return self.section.CutMode @cut_mode.setter def cut_mode(self, value: int): """ :param int value: """ self.section.CutMode = value @property def group(self) -> Group: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Group() As Group | | Returns or sets the sectioned group. | | By default, it is the all leaves group. | | Example: | | The first example retrieves the group of NewSection | Section. | | Dim AGroup As Group | AGroup = NewSection.Group | | The second example sets the group of NewSection | Section. | | Dim AGroup As Group | NewSection.Group = AGroup :return: Group :rtype: Group """ return Group(self.section.Group) @group.setter def group(self, value: Group): """ :param Group value: """ self.section.Group = value @property def height(self) -> float: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Height() As double | | Returns or sets the height of the section. | | The height value must be greater than 0. | | Example: | | The first example retrieves the height of NewSection | Section. | | | Dim SectionHeight As double | SectionHeight = NewSection.Height | | | | | | The second example sets the height value of NewSection | Section. | | | NewSection.Height = 100. :return: float :rtype: float """ return self.section.Height @height.setter def height(self, value: float): """ :param float value: """ self.section.Height = value @property def marker_3ds(self) -> Marker3Ds: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-06-11 12:40:47.360445) | o Property Marker3Ds() As Marker3Ds (Read Only) | | Returns the Marker3Ds collection of the section. | | Example: | | This example retrieves the Marker3Ds collection of NewSection | Section. | | | Dim TheMarker3DsList As Marker3Ds | Set TheMarker3DsList = NewSection.Marker3Ds :return: Marker3Ds :rtype: Marker3Ds """ return Marker3Ds(self.section.Marker3Ds) @property def thickness(self) -> float: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Thickness() As double | | Returns or sets the thickness of the section. | | The thickness value must be greater than 0. | | Example: | | The first example retrieves the thickness of NewSection | Section. | | | Dim SectionThickness As double | SectionThickness = NewSection.Thickness | | | | | | The second example sets the thickness value of NewSection | Section. | | | NewSection.Thickness = 100. :return: float :rtype: float """ return self.section.Thickness @thickness.setter def thickness(self, value: float): """ :param float value: """ self.section.Thickness = value @property def type(self) -> int: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Type() As CatSectionType | | Returns or sets the type of the section. | | The type value are defined in CatSectionType. | | Example: | | The first example retrieves the type of NewSection | Section. | | | Dim SectionType As CatSectionType | SectionType = NewSection.Type | | | | | | The second example sets the type of NewSection | Section. | | | NewSection.Type = catSectionTypeSlice :return: int :rtype: int """ return self.section.Type @type.setter def type(self, value: int): """ :param int value: """ self.section.Type = value @property def width(self) -> float: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384) | o Property Width() As double | | Returns or sets the width of the section. | | The width value must be greater than 0. | | Example: | | The first example retrieves the width of NewSection | Section. | | | Dim SectionWidth As double | SectionWidth = NewSection.Width | | | | | | The second example sets the width value of NewSection | Section. | | | NewSection.Width = 100. :return: float :rtype: float """ return self.section.Width @width.setter def width(self, value: float): """ :param float value: """ self.section.Width = value def export(self) -> 'Document': """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Func Export() As Document | | Exports the sections curves of the section in a document. | | Returns: | The document | Example: | | This example exports the section curves of NewSection Section in | PartDoc document. | | | Dim PartDoc As Document | PartDoc = NewSection.Export :return: Document :rtype: Document """ from pycatia.in_interfaces.document import Document return Document(self.section.Export()) def get_position(self) -> tuple: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub GetPosition(CATSafeArrayVariant oComponents) | | Retrieves the position of the section. | | The position of the section is made of a coordinate system whose origin is | the center of the section, and X and Y axes lie on the section. It is retrieved | in an array of the X, Y, Z axes components and the origin components with | respect to the absolute coordinate system. | | Parameters: | | oComponents | The position of the section | | oComponents( 0) is the X component of the | X-axis | oComponents( 1) is the Y component of the | X-axis | oComponents( 2) is the Z component of the | X-axis | oComponents( 3) is the X component of the | Y-axis | oComponents( 4) is the Y component of the | Y-axis | oComponents( 5) is the Z component of the | Y-axis | oComponents( 6) is the X component of the | Z-axis | oComponents( 7) is the Y component of the | Z-axis | oComponents( 8) is the Z component of the | Z-axis | oComponents( 9) is the X component of the | origin | oComponents(10) is the Y component of the | origin | oComponents(11) is the Z component of the origin | | | Example: | | This example retrieves the position of NewSection | Section. | | | Dim Components (11) | NewSection.GetPosition Components :return: tuple :rtype: tuple """ vba_function_name = 'get_position' vba_code = """ Public Function get_position(section) Dim oComponents(11) section.GetPosition oComponents get_position = oComponents End Function """ system_service = self.application.system_service return system_service.evaluate(vba_code, 0, vba_function_name, [self.com_object]) def is_empty(self) -> int: """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Func IsEmpty() As long | | Indicates whether the section is empty. | | The indicator value is 0 if the section is empty or 1 if the section | comprise at least one segment. | | Example: | | This example retrieves the information on NewSection | Section. | | | Dim Indicator | Indicator = NewSection.IsEmpty :return: int :rtype: int """ return self.section.IsEmpty() def set_position(self, i_components: tuple): """ .. note:: :class: toggle CAA V5 Visual Basic Help (2020-07-06 14:02:20.222384)) | o Sub SetPosition(CATSafeArrayVariant iComponents) | | Sets the position of the section. | | Parameters: | | oComponents | The position of the section with respect to the absolute coordinate | system | | iComponents( 0) is the X component of the | X-axis | iComponents( 1) is the Y component of the | X-axis | iComponents( 2) is the Z component of the | X-axis | iComponents( 3) is the X component of the | Y-axis | iComponents( 4) is the Y component of the | Y-axis | iComponents( 5) is the Z component of the | Y-axis | iComponents( 6) is the X component of the | Z-axis | iComponents( 7) is the Y component of the | Z-axis | iComponents( 8) is the Z component of the | Z-axis | iComponents( 9) is the X component of the | origin | iComponents(10) is the Y component of the | origin | iComponents(11) is the Z component of the origin | | | Example: | | This example sets the position of NewSection | Section. | | | Dim MatrixPos (11) As Double | MatrixPos( 0) = 1.0 | MatrixPos( 1) = 0.0 | MatrixPos( 2) = 0.0 | MatrixPos( 3) = 0.0 | MatrixPos( 4) = 1.0 | MatrixPos( 5) = 0.0 | MatrixPos( 6) = 0.0 | MatrixPos( 7) = 0.0 | MatrixPos( 8) = 1.0 | MatrixPos( 9) = 1000.0 | MatrixPos(10) = 0.0 | MatrixPos(11) = 0.0 | NewSection.SetPosition MatrixPos :param tuple i_components: """ return self.section.SetPosition(i_components) def __repr__(self): return f'Section(name="{self.name}")'

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ee26ad511d7a9c6ef6b3bdf4f745cce643ad0067

628

py

Python

torchqf/tensor.py

simaki/torchqf

e4dfd154c62ccd858847048f77d8c2f82924ae80

[ "BSD-3-Clause" ]

7

2021-05-18T17:03:10.000Z

2021-12-01T07:58:41.000Z

torchqf/tensor.py

vishalbelsare/torchqf

e4dfd154c62ccd858847048f77d8c2f82924ae80

[ "BSD-3-Clause" ]

27

2021-05-18T03:54:17.000Z

2022-01-31T15:16:16.000Z

torchqf/tensor.py

vishalbelsare/torchqf

e4dfd154c62ccd858847048f77d8c2f82924ae80

[ "BSD-3-Clause" ]

3

2021-07-13T12:56:12.000Z

2021-12-26T23:00:06.000Z

import torch def steps(end: float, steps=None, dtype=None, device=None) -> torch.Tensor: """Create a one-dimensional tensor of size `steps` whose values are evenly spaced zero to `end`, exclusive of zero. That is, the value are: `steps(end, steps) = torch.linspace(0, end, steps + 1)[1:]` Args: end (float): TODO(simaki) steps (int, default None): TODO(simaki) Examples: >>> import torchqf >>> torchqf.steps(1.0, steps=5) tensor([0.2000, 0.4000, 0.6000, 0.8000, 1.0000]) """ return torch.linspace(0.0, end, steps + 1, dtype=dtype, device=device)[1:]

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1

0

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1

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4

ee31ffbe61b2b77d89c871bfa371954e95120d61

43

py

Python

lightningdata/__init__.py

brandongk-ubco/lightning-data

b6282aae45dcfc7da0c484d733be2e6c1af2ead8

[ "MIT" ]

null

lightningdata/__init__.py

brandongk-ubco/lightning-data

b6282aae45dcfc7da0c484d733be2e6c1af2ead8

[ "MIT" ]

null

lightningdata/__init__.py

brandongk-ubco/lightning-data

b6282aae45dcfc7da0c484d733be2e6c1af2ead8

[ "MIT" ]

null

from . import vision __all__ = ["vision"]

10.75

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ee579ce2624069e0ea79f53617e7a1bbf6aad898

290

py

Python

phishdetect/models/__init__.py

phishdetect/phishdetect-python

8794fc0e86f02ef6c8ef25d7380850688ab9c03c

[ "MIT" ]

1

2019-12-26T11:00:37.000Z

phishdetect/models/__init__.py

phishdetect/phishdetect-python

8794fc0e86f02ef6c8ef25d7380850688ab9c03c

[ "MIT" ]

null

phishdetect/models/__init__.py

phishdetect/phishdetect-python

8794fc0e86f02ef6c8ef25d7380850688ab9c03c

[ "MIT" ]

null

# This file is part of phishdetect-python: # https://github.com/phishdetect/phishdetect-python # See the file 'LICENSE' for copying permission. from .alerts import Alerts from .analyze import Analyze from .indicators import Indicators from .reports import Reports from .users import Users

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4

ee85c5413d8062039b577a6b13a714f839852162

170

py

Python

tests/test_exception_alreadyregistered/registered_blocks.py

WGBH/wagtail-streamfieldtools

192f86845532742b0b7d432bef3987357833b8ed

[ "MIT" ]

6

2015-12-14T17:59:22.000Z

2016-09-28T10:38:54.000Z

tests/test_exception_alreadyregistered/registered_blocks.py

WGBH/wagtail-streamfieldtools

192f86845532742b0b7d432bef3987357833b8ed

[ "MIT" ]

10

2016-05-13T17:59:31.000Z

2022-03-11T23:13:01.000Z

tests/test_exception_alreadyregistered/registered_blocks.py

WGBH/wagtail-streamfieldtools

192f86845532742b0b7d432bef3987357833b8ed

[ "MIT" ]

2

2016-03-18T18:56:58.000Z

2016-05-13T18:14:15.000Z

from wagtail.wagtailcore.blocks import CharBlock from streamfield_tools.registry import block_registry block_registry.register_block( 'heading', CharBlock() )

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c9a336225962d5a19e0c018ebf32f19e02cb2d23

35

py

Python

data/studio21_generated/introductory/3405/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3405/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3405/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def pow_root_pandigit(val, n, k):

17.5

33

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0.142857

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2

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null

0

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4

c9abd9fae48c2f3828341cea8bbde23f5a1afb96

107

py

Python

atcoder/abc183A_relu.py

uninhm/kyopro

bf6ed9cbf6a5e46cde0291f7aa9d91a8ddf1f5a3

[ "BSD-3-Clause" ]

31

2020-05-13T01:07:55.000Z

2021-07-13T07:53:26.000Z

atcoder/abc183A_relu.py

uninhm/kyopro

bf6ed9cbf6a5e46cde0291f7aa9d91a8ddf1f5a3

[ "BSD-3-Clause" ]

10

2020-05-20T07:22:09.000Z

2021-07-19T03:52:13.000Z

atcoder/abc183A_relu.py

uninhm/kyopro

bf6ed9cbf6a5e46cde0291f7aa9d91a8ddf1f5a3

[ "BSD-3-Clause" ]

14

2020-05-11T05:58:36.000Z

2021-12-07T03:20:43.000Z

# uninhm # https://atcoder.jp/contests/abc183/tasks/abc183_a # implementation print(max(0, int(input())))

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null

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1

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1

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4

c9b164845d84ec0ccb28ac64472eac5d49ee253d

93

py

Python

bookshelf/apps.py

ffkirill/library

43249b71df5d8633a5202f4cbb53b25e4a2aa08a

[ "BSD-2-Clause" ]

35

2017-02-25T13:56:05.000Z

2022-03-28T20:45:16.000Z

bookshelf/apps.py

ffkirill/library

43249b71df5d8633a5202f4cbb53b25e4a2aa08a

[ "BSD-2-Clause" ]

31

2017-03-15T18:10:20.000Z

2021-07-30T07:10:16.000Z

bookshelf/apps.py

tinkerhubcek/Project-Libra

419d104868efad7b793ec8c95235a8870d99ea6e

[ "MIT" ]

20

2017-03-15T17:41:08.000Z

2021-11-30T10:15:12.000Z

from django.apps import AppConfig class BookshelfConfig(AppConfig): name = 'bookshelf'

15.5

33

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5

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null

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4

c9be5645855c1f2ff79799cc282c4df8f8f7ef4f

753

py

Python

Python/Tests/TestData/DebuggerProject/EnumChildTestV3.py

nanshuiyu/pytools

9f9271fe8cf564b4f94e9456d400f4306ea77c23

[ "Apache-2.0" ]

null

Python/Tests/TestData/DebuggerProject/EnumChildTestV3.py

nanshuiyu/pytools

9f9271fe8cf564b4f94e9456d400f4306ea77c23

[ "Apache-2.0" ]

null

Python/Tests/TestData/DebuggerProject/EnumChildTestV3.py

nanshuiyu/pytools

9f9271fe8cf564b4f94e9456d400f4306ea77c23

[ "Apache-2.0" ]

null

d1 = {42: 100} d2 = {'abc': 'fob'} d3 = {1e1000: d1} s = set([frozenset([2,3,4])]) class C(object): abc = 42 def f(self): pass cinst = C() class C2(object): abc = 42 def __init__(self): self.oar = 100 self.self = self def __repr__(self): return 'myrepr' def __hex__(self): return 'myhex' def f(self): pass c2inst = C2() class C3(object): def __init__(self): self.abc = 42 self._contents = [1,2] def __iter__(self): return iter(self._contents) def __len__(self): return len(self._contents) def __getitem__(self, index): return self._contents[index] c3inst = C3() l = [1, 2, ] i = 3 pass

17.511628

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0.521912

99

753

3.646465

0.414141

0.088643

0.060942

0.077562

0

0.074297

0.338645

753

43

38

17.511628

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0.181818

0

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false

0.090909

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0.151515

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null

0

null

0

1

0

1

0

1

0

4

c9ca57b019b44e7ecc07642ce74b9115c50ba15f

1,213

py

Python

ads/migrations/0001_initial.py

dragonrathony/zed_market

c73f17501608c8fe86692c3c4f6e03fc8ba03286

[ "bzip2-1.0.6" ]

1

2020-06-17T13:45:54.000Z

ads/migrations/0001_initial.py

Honey4251996/zed_market

c73f17501608c8fe86692c3c4f6e03fc8ba03286

[ "bzip2-1.0.6" ]

11

2021-03-19T07:55:39.000Z

2022-03-12T00:34:55.000Z

ads/migrations/0001_initial.py

Honey4251996/zed_market

c73f17501608c8fe86692c3c4f6e03fc8ba03286

[ "bzip2-1.0.6" ]

null

# Generated by Django 3.0.3 on 2020-03-03 15:15 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='AdList', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('title', models.CharField(max_length=100, null=True)), ('category', models.CharField(max_length=100, null=True)), ('ad_type', models.CharField(max_length=100, null=True)), ('description', models.CharField(max_length=1000, null=True)), ('item_price', models.FloatField()), ('email', models.CharField(max_length=100)), ('first_name', models.CharField(max_length=100, null=True)), ('zip_code', models.CharField(max_length=100, null=True)), ('contact_number', models.CharField(max_length=20, null=True)), ('premium_options', models.CharField(max_length=100)), ('payment_method', models.CharField(max_length=100)), ], ), ]

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1,213

5.317829

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0.262391

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0.051253

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115

39.129032

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1

0

false

0

0.041667

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0.208333

0

null

1

0

1

0

null

0

4

c9d0749fdd0d28a319730a605d6f9e0cb86e6916

92

py

Python

config.py

lmchvz/ETL-Group_Project

7befe85724f147c8fc9830dcadd3865d07a22c08

[ "MIT" ]

null

config.py

lmchvz/ETL-Group_Project

7befe85724f147c8fc9830dcadd3865d07a22c08

[ "MIT" ]

null

config.py

lmchvz/ETL-Group_Project

7befe85724f147c8fc9830dcadd3865d07a22c08

[ "MIT" ]

null

#Place postgres connection string here: connect_string = 'postgres:p4ssword@localhost:5432'

30.666667

51

0.826087

11

92

6.818182

0.818182

0

0.059524

0.086957

92

2

52

46

0.833333

0.413043

0

0.603774

0

1

0

false

0

1

0

null

0

1

0

1

null

0

4

c9d9fb7f9936716262666e01df37af645dff438d

82

py

Python

1-computer-vision/1-cv-preprocess-augmentation.py

MLStruckmann/tensorflow-templates

ca35a8f055929ee4ec552fa03737d808a0fe3491

[ "MIT" ]

null

1-computer-vision/1-cv-preprocess-augmentation.py

MLStruckmann/tensorflow-templates

ca35a8f055929ee4ec552fa03737d808a0fe3491

[ "MIT" ]

null

1-computer-vision/1-cv-preprocess-augmentation.py

MLStruckmann/tensorflow-templates

ca35a8f055929ee4ec552fa03737d808a0fe3491

[ "MIT" ]

null

# Understand how ImageDataGenerator labels images based on the directory structure

82

0.865854

10

82

7.1

1

0

0.121951

82

1

82

0.986111

0.97561

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

4

c9db4cc817b3ea693ec23770170fd8358a35007f

253

py

Python

final R/videoAnalysis/videoconvert.py

ashwinrishipj/thesis

05279196a48849fbb44620555c395dd1e056a077

[ "Apache-2.0" ]

1

2019-06-07T05:30:25.000Z

final R/videoAnalysis/videoconvert.py

ashwinrishipj/thesis

05279196a48849fbb44620555c395dd1e056a077

[ "Apache-2.0" ]

null

final R/videoAnalysis/videoconvert.py

ashwinrishipj/thesis

05279196a48849fbb44620555c395dd1e056a077

[ "Apache-2.0" ]

null

from pydub import AudioSegment sound = AudioSegment.from_file("C:/Users/AR064679/Documents/thesis/final R/videoAnalysis/processed/ashwin") sound.export("C:/Users/AR064679/Documents/thesis/final r/videoAnalysis/processed/", format="mp3", bitrate="128k")

63.25

113

0.806324

33

253

6.151515

0.636364

0.059113

0.137931

0.226601

0.561576

0

0.06639

0.047431

253

4

113

63.25

0.775934

0

0.57874

0.543307

0

1

0

false

0

0.333333

0

0.333333

0

null

0

1

0

1

0

1

null

0

1

0

4

c9e2ce4dc08274c340fb51c921593307704fe344

176

py

Python

arpyfile.py

CITGuru/arpy

008638752ae4b3855e0a747a651e1c2cf3ed536c

[ "MIT" ]

2

2018-07-16T15:50:20.000Z

2019-12-29T13:22:27.000Z

arpyfile.py

CITGuru/arpy

008638752ae4b3855e0a747a651e1c2cf3ed536c

[ "MIT" ]

null

arpyfile.py

CITGuru/arpy

008638752ae4b3855e0a747a651e1c2cf3ed536c

[ "MIT" ]

null

import arpy # from subprocess import Popen # auto push to git arpy.task("push", ["git add .", "git commit -m 'updates'", "git push origin master"], ".", ignorelist=[".git"])

25.142857

111

0.653409

25

176

4.6

0.68

0

0.159091

176

6

112

29.333333

0.777027

0.255682

0

0.5

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

a0170f4f263d936e99a7ce84a9e4b94bbcdb5baf

284

py

Python

WhatsAppManifest/manifest/whatsapp/types.py

riquedev/WhatsAppManifest

bcbbd48f6f9152024a54172886876d3a725a3a62

[ "MIT" ]

15

2020-03-11T17:31:12.000Z

2021-11-19T03:26:09.000Z

WhatsAppManifest/manifest/whatsapp/types.py

riquedev/WhatsAppManifest

bcbbd48f6f9152024a54172886876d3a725a3a62

[ "MIT" ]

5

2021-03-31T19:43:15.000Z

2022-03-12T00:18:38.000Z

WhatsAppManifest/manifest/whatsapp/types.py

riquedev/WhatsAppManifest

bcbbd48f6f9152024a54172886876d3a725a3a62

[ "MIT" ]

4

2020-03-11T01:52:57.000Z

2021-03-16T04:14:33.000Z

""" Data types used on Android and whatsapp """ class TextPlain: def __str__(self): return "text/plain" class AnyImage: def __str__(self): return "image/*" class AndroidVndContact: def __str__(self): return "vnd.android.cursor.dir/contact"

13.52381

47

0.640845

33

284

5.151515

0.666667

0.105882

0.176471

0.282353

0

0.25

284

20

48

14.2

0.798122

0.137324

0

0.333333

0

0.198312

0.126582

0

1

0.333333

false

0

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

4

a01ab40cecf7e71d0d07724987f1bdce6d318eb6

700

py

Python

test/test_txs_eth.py

graphsense/graphsense-python

c0dafc97a04bc3dbf0caf08a981bb591bd1e430a

[ "MIT" ]

9

2020-11-26T12:26:36.000Z

2022-02-07T22:08:16.000Z

test/test_txs_eth.py

graphsense/graphsense-python

c0dafc97a04bc3dbf0caf08a981bb591bd1e430a

[ "MIT" ]

14

2020-11-17T13:28:08.000Z

2022-01-24T09:21:43.000Z

test/test_txs_eth.py

graphsense/graphsense-python

c0dafc97a04bc3dbf0caf08a981bb591bd1e430a

[ "MIT" ]

3

2022-02-03T09:24:27.000Z

2022-02-16T10:13:55.000Z

""" GraphSense API GraphSense API # noqa: E501 The version of the OpenAPI document: 0.4.5 Generated by: https://openapi-generator.tech """ import sys import unittest import graphsense from graphsense.model.tx_eth import TxEth globals()['TxEth'] = TxEth from graphsense.model.txs_eth import TxsEth class TestTxsEth(unittest.TestCase): """TxsEth unit test stubs""" def setUp(self): pass def tearDown(self): pass def testTxsEth(self): """Test TxsEth""" # FIXME: construct object with mandatory attributes with example values # model = TxsEth() # noqa: E501 pass if __name__ == '__main__': unittest.main()

18.421053

79

0.654286

84

700

5.333333

0.595238

0.058036

0.084821

0

0.017078

0.247143

700

37

80

18.918919

0.833017

0.384286

0

0.2

1

0

0.032911

0

0.027027

0

1

0.2

false

0.2

0.333333

0

0.6

0

null

0

1

0

null

0

1

0

1

0

4

a01df042bc0576b6fb78542e1ceec56729915d61

164

py

Python

vplayer/player_app/models.py

Rxavio/youtubevideoPlayer

9c318b6b40bfcf6bca2fb4bf5b105d8b9ac4ebf5

[ "MIT" ]

null

vplayer/player_app/models.py

Rxavio/youtubevideoPlayer

9c318b6b40bfcf6bca2fb4bf5b105d8b9ac4ebf5

[ "MIT" ]

null

vplayer/player_app/models.py

Rxavio/youtubevideoPlayer

9c318b6b40bfcf6bca2fb4bf5b105d8b9ac4ebf5

[ "MIT" ]

null

from django.db import models from embed_video.fields import EmbedVideoField class Item(models.Model): video = EmbedVideoField() # same like models.URLField()

27.333333

60

0.780488

21

164

6.047619

0.714286

0

0.140244

164

5

61

32.8

0.900709

0.164634

0

1

0

false

0

0.5

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

4e56deab98ed9a8f33a0ac02bc01435d9e23d7fc

216

py

Python

cflearn/models/__init__.py

SaizhuoWang/carefree-learn

3bf7b00286cdef556cc00fa2fcba5c390b5b9d20

[ "MIT" ]

null

cflearn/models/__init__.py

SaizhuoWang/carefree-learn

3bf7b00286cdef556cc00fa2fcba5c390b5b9d20

[ "MIT" ]

null

cflearn/models/__init__.py

SaizhuoWang/carefree-learn

3bf7b00286cdef556cc00fa2fcba5c390b5b9d20

[ "MIT" ]

1

2021-01-04T02:23:00.000Z

from .ddr import * from .ndt import * from .nnb import * from .rnn import * from .wnd import * from .fcnn import * from .linear import * from .tree_dnn import * from .transformer import * from .base import ModelBase

19.636364

27

0.726852

32

216

4.875

0.4375

0.576923

0

0.185185

216

10

28

21.6

0.886364

0

1

0

true

0

1

0

1

0

null

1

0

null

0

1

0

1

0

1

0

4

4e5b07ac56dd3a546c551b8c37f44d07e257e370

663

py

Python

wechat_django/requests.py

cnbillow/wechat-django

fe7c35b6c716599a1deb30f04a38699670c20a90

[ "MIT" ]

null

wechat_django/requests.py

cnbillow/wechat-django

fe7c35b6c716599a1deb30f04a38699670c20a90

[ "MIT" ]

null

wechat_django/requests.py

cnbillow/wechat-django

fe7c35b6c716599a1deb30f04a38699670c20a90

[ "MIT" ]

1

2019-09-24T08:19:31.000Z

# -*- coding: utf-8 -*- """ 微信相关的请求类声明,这些请求类中,包含一个WeChatInfo对象wechat 实际上这些请求类没有真正被使用但是可以通过docstring声明传参是这些请求类,让你的IDE更加智能地提示代码 """ from __future__ import unicode_literals from django.http.request import HttpRequest class WeChatHttpRequest(HttpRequest): @property def wechat(self): """:rtype: wechat_django.models.WeChatInfo""" pass class WeChatMessageRequest(HttpRequest): @property def wechat(self): """:rtype: wechat_django.models.WeChatMessageInfo""" pass class WeChatOAuthRequest(HttpRequest): @property def wechat(self): """:rtype: wechat_django.models.WeChatOAuthInfo""" pass

20.090909

60

0.707391

59

663

7.813559

0.542373

0.123644

0.143167

0.182213

0.357918

0

0.001852

0.18552

663

32

61

20.71875

0.851852

0.381599

0

0.642857

0

1

0.214286

false

0.214286

0.142857

0

0.571429

0

null

0

1

0

null

0

1

0

1

0

1

0

4

4eadadb8717476de04514f37093f8de01f7c4aca

285

py

Python

tests/test_predict.py

justinchanjinle/Iris-Dataset-Classifier

72de61f6e647788006892b658210aba533645781

[ "Apache-2.0" ]

1

2019-06-02T12:42:07.000Z

tests/test_predict.py

justinchanjinle/Iris-Dataset-Classifier

72de61f6e647788006892b658210aba533645781

[ "Apache-2.0" ]

9

2019-05-20T12:23:59.000Z

2020-05-24T13:10:15.000Z

tests/test_predict.py

justinchanjinle/Iris-Dataset-Classifier

72de61f6e647788006892b658210aba533645781

[ "Apache-2.0" ]

1

2020-05-24T14:12:48.000Z

import pandas as pd import pytest from app.src.predict import Predict def test_predict(predict: Predict, x_test: pd.DataFrame): try: y_predict = predict.predict(x_test) # noqa except Exception as exception: pytest.fail(f'Prediction failed: {exception}')

19

57

0.708772

39

285

5.076923

0.564103

0.282828

0.212121

0.222222

0.262626

0

0.207018

285

14

58

20.357143

0.876106

0.014035

0

0.107527

0

1

0.125

false

0

0.375

0

0.5

0

null

1

0

null

0

1

0

4

14c2961bf0d9450b53c238898de25422a5338eba

259

py

Python

code_gen.py

AMGIRI-1996/Palmestry

0d5399a65a81035d654271741025bcf96d96e05e

[ "MIT" ]

null

code_gen.py

AMGIRI-1996/Palmestry

0d5399a65a81035d654271741025bcf96d96e05e

[ "MIT" ]

null

code_gen.py

AMGIRI-1996/Palmestry

0d5399a65a81035d654271741025bcf96d96e05e

[ "MIT" ]

null

baseurl='\t\t\t<input name="marriageLine" type="radio" id="marriageLine%s" value="%s" /><label for="marriageLine%s"><img src="images/marriageLine/%s.jpg" height=195 width=150></label>' for i in range(1, 18): url = baseurl % (i,i,i,i) print(url+"\n")

43.166667

184

0.65251

44

259

3.840909

0.636364

0.230769

0.035503

0

0.039301

0.11583

259

6

185

43.166667

0.69869

0

0.25

0.679537

0.220077

0

1

0

false

0

0.25

0

null

1

0

1

0

1

0

null

0

4

0922a10120fe3c03311f2165e173a60395fbe72f

99

py

Python

pyparsehtml/src/getters.py

pdoms/PyParseHtml

513ad30cdfb77eea815b66b1ad91c1c96f3dff81

[ "MIT" ]

null

pyparsehtml/src/getters.py

pdoms/PyParseHtml

513ad30cdfb77eea815b66b1ad91c1c96f3dff81

[ "MIT" ]

null

pyparsehtml/src/getters.py

pdoms/PyParseHtml

513ad30cdfb77eea815b66b1ad91c1c96f3dff81

[ "MIT" ]

null

def getBy_Element(id, all_tags): for t in all_tags: if t.id == id: return t

24.75

32

0.545455

17

99

3

0.647059

0.27451

0

0.363636

99

4

33

24.75

0.809524

0

1

0.25

false

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

4

0926a319d07953fb19780c8f8e72fee36b9473a1

44

py

Python

tbltalk/__init__.py

mattmc3/pyfigurine

3ba77aef47ef9ca9e3f3ee9ec6d025d5c67cd767

[ "MIT" ]

null

tbltalk/__init__.py

mattmc3/pyfigurine

3ba77aef47ef9ca9e3f3ee9ec6d025d5c67cd767

[ "MIT" ]

null

tbltalk/__init__.py

mattmc3/pyfigurine

3ba77aef47ef9ca9e3f3ee9ec6d025d5c67cd767

[ "MIT" ]

null

from .tbltalk import * version = (0, 0, 1)

11

22

0.613636

7

44

3.857143

0.857143

0

0.088235

0.227273

44

3

23

14.666667

0.705882

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

092ee1dcb528190e1ebac99c4cd1f7fd3c3b6721

1,015

py

Python

src/441-ArrangingCoins.py

Jiezhi/myleetcode

b346e94c46da2a3033ebc8ff50e621aa179c4f62

[ "MIT" ]

1

2022-03-03T15:11:48.000Z

src/441-ArrangingCoins.py

Jiezhi/myleetcode

b346e94c46da2a3033ebc8ff50e621aa179c4f62

[ "MIT" ]

null

src/441-ArrangingCoins.py

Jiezhi/myleetcode

b346e94c46da2a3033ebc8ff50e621aa179c4f62

[ "MIT" ]

2

2022-01-20T22:49:58.000Z

2022-01-20T22:53:13.000Z

#!/usr/bin/env python """ CREATED AT: 2021/11/5 Des: https://leetcode.com/problems/arranging-coins/ GITHUB: https://github.com/Jiezhi/myleetcode Difficulty: Easy Tag: See: """ class Solution: def arrangeCoins(self, n: int) -> int: """ Runtime: 924 ms, faster than 35.91% Memory Usage: 14.3 MB, less than 39.42% 1 <= n <= 2^31 - 1 :param n: :return: """ i = 1 while n >= i: n, i = n - i, i + 1 return i - 1 def test(): assert Solution().arrangeCoins(n=1) == 1 assert Solution().arrangeCoins(n=2) == 1 assert Solution().arrangeCoins(n=3) == 2 assert Solution().arrangeCoins(n=4) == 2 assert Solution().arrangeCoins(n=5) == 2 assert Solution().arrangeCoins(n=6) == 3 assert Solution().arrangeCoins(n=7) == 3 assert Solution().arrangeCoins(n=8) == 3 assert Solution().arrangeCoins(n=9) == 3 assert Solution().arrangeCoins(n=10) == 4 if __name__ == '__main__': test()

21.595745

47

0.573399

138

1,015

4.15942

0.456522

0.243902

0.452962

0.470383

0.439024

0

0.066845

0.263054

1,015

46

48

22.065217

0.700535

0.281773

0

0.012012

0

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1

0.105263

false

0

0.210526

0

null

1

0

null

0

1

0

4

0936f4af0fcb667bf2d480367db24e39aef60068

432

py

Python

backend/models/resnet/model_current.py

andreasntr/Net2Vis

43da92a233368ace3eea3b034478ab6a8fee614a

[ "MIT" ]

78

2019-02-14T06:44:05.000Z

2022-03-16T09:10:27.000Z

backend/models/resnet/model_current.py

andreasntr/Net2Vis

43da92a233368ace3eea3b034478ab6a8fee614a

[ "MIT" ]

25

2019-12-29T13:53:37.000Z

2022-03-25T09:31:06.000Z

backend/models/resnet/model_current.py

andreasntr/Net2Vis

43da92a233368ace3eea3b034478ab6a8fee614a

[ "MIT" ]

11

2020-06-19T09:10:54.000Z

2022-01-18T19:50:54.000Z

# You can freely modify this file. # However, you need to have a function that is named get_model and returns a Keras Model. import tensorflow as tf from tensorflow.python.keras import models from tensorflow.python.keras import layers from tensorflow.python.keras import utils def get_model(): img_height = 256 img_width = 256 img_channels = 1 model = tf.keras.applications.ResNet50(weights=None) return model

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11862b1102224d2bedd555db1ce555a0d379b7b9

10,232

py

Python

asterisk/migrations/0001_initial.py

ahmednamoha/astroapp

10ff7d2fa92ce430ce39a036c501f64429ddcec7

[ "MIT" ]

null

asterisk/migrations/0001_initial.py

ahmednamoha/astroapp

10ff7d2fa92ce430ce39a036c501f64429ddcec7

[ "MIT" ]

null

asterisk/migrations/0001_initial.py

ahmednamoha/astroapp

10ff7d2fa92ce430ce39a036c501f64429ddcec7

[ "MIT" ]

null

# Generated by Django 3.1 on 2020-09-05 09:05 from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Extentions', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('context', models.CharField(default='phones', editable=False, max_length=30)), ('exten', models.CharField(max_length=30)), ('priority', models.CharField(default='1', editable=False, max_length=30)), ('app', models.CharField(default='AGI', editable=False, max_length=30)), ('appdata', models.CharField(blank=True, default='testphp.php', editable=False, max_length=30)), ('file', models.FileField(null=True, upload_to='')), ], ), migrations.CreateModel( name='Queue', fields=[ ('name', models.CharField(max_length=128, primary_key=True, serialize=False)), ('exten', models.CharField(max_length=128, null=True)), ('optin', models.BigIntegerField(default=1)), ('musiconhold', models.CharField(blank=True, default='phones', editable=False, max_length=128, null=True)), ('announce', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('context', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('timeout', models.BigIntegerField(blank=True, editable=False, null=True)), ('monitor_join', models.IntegerField(blank=True, editable=False, null=True)), ('monitor_format', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_youarenext', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_thereare', models.CharField(blank=True, editable=False, max_length=128)), ('queue_callswaiting', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_holdtime', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_minutes', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_seconds', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_lessthan', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_thankyou', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('queue_reporthold', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('announce_frequency', models.BigIntegerField(blank=True, editable=False, null=True)), ('announce_round_seconds', models.BigIntegerField(blank=True, editable=False, null=True)), ('announce_holdtime', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('retry', models.BigIntegerField(blank=True, editable=False, null=True)), ('wrapuptime', models.BigIntegerField(blank=True, editable=False, null=True)), ('maxlen', models.BigIntegerField(blank=True, editable=False, null=True)), ('servicelevel', models.BigIntegerField(blank=True, editable=False, null=True)), ('strategy', models.CharField(blank=True, editable=False, max_length=30, null=True)), ('joinempty', models.CharField(editable=False, max_length=30, null=True)), ('leavewhenempty', models.CharField(blank=True, editable=False, max_length=30, null=True)), ('eventmemberstatus', models.BigIntegerField(blank=True, editable=False, null=True)), ('eventwhencalled', models.CharField(blank=True, editable=False, max_length=30, null=True)), ('reportholdtime', models.BigIntegerField(blank=True, editable=False, null=True)), ('memberdelay', models.BigIntegerField(blank=True, editable=False, null=True)), ('weight', models.BigIntegerField(blank=True, editable=False, null=True)), ('timeoutrestart', models.BigIntegerField(blank=True, editable=False, null=True)), ], ), migrations.CreateModel( name='QueueMember', fields=[ ('uniqueid', models.BigIntegerField(editable=False, primary_key=True, serialize=False)), ('membername', models.CharField(blank=True, max_length=128, null=True)), ('queue_name', models.CharField(max_length=128)), ('interface', models.CharField(blank=True, max_length=128, null=True)), ('penalty', models.BigIntegerField(editable=False, null=True)), ('paused', models.BigIntegerField(editable=False, null=True)), ], ), migrations.CreateModel( name='SipPeers', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('accountcode', models.CharField(blank=True, max_length=128, null=True)), ('directmedia', models.CharField(editable=False, max_length=128, null=True)), ('disallow', models.CharField(blank=True, default='all', editable=False, max_length=128, null=True)), ('allow', models.CharField(blank=True, default='alaw;ulaw;gsm;g729', editable=False, max_length=128, null=True)), ('allowtransfer', models.CharField(editable=False, max_length=128, null=True)), ('amaflags', models.CharField(editable=False, max_length=128, null=True)), ('autoframing', models.CharField(blank=True, editable=False, max_length=128, null=True)), ('auth', models.CharField(editable=False, max_length=128, null=True)), ('callgroup', models.CharField(editable=False, max_length=128, null=True)), ('callerid', models.CharField(editable=False, max_length=128, null=True)), ('cid_number', models.CharField(editable=False, max_length=128, null=True)), ('fullname', models.CharField(max_length=128, null=True)), ('callingpres', models.CharField(editable=False, max_length=128, null=True)), ('context', models.CharField(default='phones', editable=False, max_length=128, null=True)), ('callbackextension', models.CharField(editable=False, max_length=128, null=True)), ('defaultip', models.CharField(editable=False, max_length=128, null=True)), ('defaultuser', models.CharField(editable=False, max_length=128, null=True)), ('dtmfmode', models.CharField(editable=False, max_length=128, null=True)), ('encryption', models.CharField(editable=False, max_length=128, null=True)), ('fromuser', models.CharField(editable=False, max_length=128, null=True)), ('fromdomain', models.CharField(editable=False, max_length=128, null=True)), ('fullcontact', models.CharField(editable=False, max_length=128, null=True)), ('host', models.CharField(default='dynamic', editable=False, max_length=128, null=True)), ('insecure', models.CharField(editable=False, max_length=128, null=True)), ('ipaddr', models.CharField(editable=False, max_length=128, null=True)), ('language', models.CharField(editable=False, max_length=10, null=True)), ('lastms', models.CharField(editable=False, max_length=128, null=True)), ('mailbox', models.CharField(editable=False, max_length=128, null=True)), ('maxcallbitrate', models.BigIntegerField(default=385, editable=False, null=True)), ('mohsuggest', models.CharField(editable=False, max_length=128, null=True)), ('md5secret', models.CharField(editable=False, max_length=128, null=True)), ('musiconhold', models.CharField(editable=False, max_length=128, null=True)), ('name', models.CharField(max_length=128)), ('nat', models.CharField(editable=False, max_length=128, null=True)), ('outboundproxy', models.CharField(editable=False, max_length=128, null=True)), ('deny', models.CharField(editable=False, max_length=128, null=True)), ('permit', models.CharField(editable=False, max_length=128, null=True)), ('pickupgroup', models.CharField(editable=False, max_length=128, null=True)), ('port', models.CharField(editable=False, max_length=128, null=True)), ('qualify', models.CharField(editable=False, max_length=15, null=True)), ('regexten', models.CharField(editable=False, max_length=128, null=True)), ('regseconds', models.IntegerField(blank=True, editable=False, null=True)), ('rtptimeout', models.CharField(editable=False, max_length=15, null=True)), ('rtpholdtimeout', models.CharField(editable=False, max_length=15, null=True)), ('secret', models.CharField(max_length=128, null=True)), ('setvar', models.CharField(editable=False, max_length=128, null=True)), ('subscribecontext', models.CharField(editable=False, max_length=128, null=True)), ('subscribemwi', models.CharField(editable=False, max_length=128, null=True)), ('transport', models.CharField(editable=False, max_length=128, null=True)), ('type', models.CharField(default='friend', editable=False, max_length=128, null=True)), ('usereqphone', models.CharField(editable=False, max_length=128, null=True)), ('username', models.CharField(max_length=128, null=True)), ('vmexten', models.CharField(editable=False, max_length=128, null=True)), ], ), ]

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1

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1

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null

0

4

11874102ad92cd5063b37ce93eefb4e57fcf2fd3

840

py

Python

test/test_app.py

bravecollective/neucore-api-python

fac73f71c4d514d77bb9629a958d5d461fd2cdbe

[ "MIT" ]

2

2019-04-17T20:18:53.000Z

2019-04-25T02:08:09.000Z

test/test_app.py

bravecollective/neucore-api-python

fac73f71c4d514d77bb9629a958d5d461fd2cdbe

[ "MIT" ]

null

test/test_app.py

bravecollective/neucore-api-python

fac73f71c4d514d77bb9629a958d5d461fd2cdbe

[ "MIT" ]

null

""" Neucore API Client library of Neucore API # noqa: E501 The version of the OpenAPI document: 1.26.0 Generated by: https://openapi-generator.tech """ import sys import unittest import neucore_api from neucore_api.model.eve_login import EveLogin from neucore_api.model.group import Group from neucore_api.model.role import Role globals()['EveLogin'] = EveLogin globals()['Group'] = Group globals()['Role'] = Role from neucore_api.model.app import App class TestApp(unittest.TestCase): """App unit test stubs""" def setUp(self): pass def tearDown(self): pass def testApp(self): """Test App""" # FIXME: construct object with mandatory attributes with example values # model = App() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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false

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0

null

0

1

0

1

0

4

11acf5dd25722904add2cdd32d33f5db6e820180

21

py

Python

globalState.py

natreed/matrix_python

c2c5f8e545eb2713b53be44f6edbb30c4b83312b

[ "MIT" ]

null

globalState.py

natreed/matrix_python

c2c5f8e545eb2713b53be44f6edbb30c4b83312b

[ "MIT" ]

1

2021-06-01T23:28:34.000Z

globalState.py

natreed/Secure_Social_Net-Python

c2c5f8e545eb2713b53be44f6edbb30c4b83312b

[ "MIT" ]

null

class globalState():

10.5

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null

0

1

0

null

0

1

0

4

11d80f27b74026eb4f5bdf4308930b941c95fe29

171

py

Python

examples/dff_funfact_skill/annotators/main.py

SaschaC/mds_skills_hackathon

baf8e76adf8e766299dac8c89e41b63a955ef2c1

[ "Apache-2.0" ]

1

2022-02-07T22:59:26.000Z

examples/dff_funfact_skill/annotators/main.py

SaschaC/mds_skills_hackathon

baf8e76adf8e766299dac8c89e41b63a955ef2c1

[ "Apache-2.0" ]

null

examples/dff_funfact_skill/annotators/main.py

SaschaC/mds_skills_hackathon

baf8e76adf8e766299dac8c89e41b63a955ef2c1

[ "Apache-2.0" ]

8

2021-12-28T09:31:08.000Z

2022-01-10T17:40:25.000Z

from df_engine.core import Context from .basic import yes_intent, no_intent def annotate(ctx: Context): ctx = yes_intent(ctx) ctx = no_intent(ctx) return ctx

21.375

40

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0.518519

0.15

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0.192982

171

7

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0

null

0

1

0

1

0

4

11eb888864814334e7589ffa130bea5eb3e78e9c

245

py

Python

web/tomato/lib/dump.py

dswd/ToMaTo

355fd3a8c7f95dc72c62383b3edfa8f6c0396bf4

[ "BSD-4-Clause-UC" ]

2

2016-11-10T06:12:05.000Z

2016-11-10T06:12:10.000Z

web/tomato/lib/dump.py

dswd/ToMaTo

355fd3a8c7f95dc72c62383b3edfa8f6c0396bf4

[ "BSD-4-Clause-UC" ]

2

2015-01-19T16:00:24.000Z

2015-01-20T11:33:56.000Z

web/tomato/lib/dump.py

dswd/ToMaTo

355fd3a8c7f95dc72c62383b3edfa8f6c0396bf4

[ "BSD-4-Clause-UC" ]

1

2016-11-10T06:12:15.000Z

''' Created on Nov 20, 2014 This is a dummy to solve dependencies from error.py @author: Tim Gerhard ''' # The webfrontend does not dump errors. If this function is called anywhere, this simply doesn't matter. def dumpError(error): return

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4.666667

0.897436

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0.03

0.183673

245

11

105

22.272727

0.88

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null

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null

0

1

0

1

0

4

11f51267e3b30446e50430c7fdb98ab7e28b0c27

145

py

Python

python/8Kyu/Grasshopper - Messi Goals.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/8Kyu/Grasshopper - Messi Goals.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

python/8Kyu/Grasshopper - Messi Goals.py

athasv/Codewars-data

5e106466e709fd776f23585ad9f652d0d65b48d3

[ "MIT" ]

null

la_liga_goals = 43 champions_league_goals = 10 copa_del_rey_goals = 5 total_goals = la_liga_goals + champions_league_goals + copa_del_rey_goals

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4

eebf549088249a90d79d2787ec5bec62f2373e65

42,920

py

Python

spacedrive/renderpipeline/toolkit/day_time_editor/ui/resources_rc.py

croxis/SpaceDrive

3f610cf72002beb11e73a47c2f118e35ff2d9575

[ "MIT" ]

5

2016-01-02T05:23:37.000Z

2017-07-01T13:53:36.000Z

spacedrive/renderpipeline/toolkit/day_time_editor/ui/resources_rc.py

croxis/SpaceDrive

3f610cf72002beb11e73a47c2f118e35ff2d9575

[ "MIT" ]

1

2016-06-28T08:43:59.000Z

2016-07-07T20:28:43.000Z

spacedrive/renderpipeline/toolkit/day_time_editor/ui/resources_rc.py

croxis/SpaceDrive

3f610cf72002beb11e73a47c2f118e35ff2d9575

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt4 (Qt v4.8.7) # # WARNING! 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qt_resource_struct = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x02\x00\x00\x00\x03\ \x00\x00\x00\x22\x00\x00\x00\x00\x00\x01\x00\x00\x0f\x8c\ \x00\x00\x00\x0c\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " def qInitResources(): QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

63.964232

130

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10,180

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null

1

0

4

eedb51411ebe06538d5fc602a43c921cff353746

231

py

Python

ml/connection.py

cnnr-adams/simple-neural-network-lib

4973010c20bc959f663f23c5b136b04ef7e99101

[ "MIT" ]

null

ml/connection.py

cnnr-adams/simple-neural-network-lib

4973010c20bc959f663f23c5b136b04ef7e99101

[ "MIT" ]

null

ml/connection.py

cnnr-adams/simple-neural-network-lib

4973010c20bc959f663f23c5b136b04ef7e99101

[ "MIT" ]

null

from neuron import Neuron class Connection: def __init__(self, output, weight=1): self.output = output self.weight = weight def feedThrough(self, input): self.output.setInput(input * self.weight)

21

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4

eedebbea44de7cad2a66d57233b588a07bccd388

11,267

py

Python

molsysmt/tools/molecular_systems.py

uibcdf/MolSysMT

9866a6fb090df9fff36af113a45164da4b674c09

[ "MIT" ]

3

2020-06-02T03:55:52.000Z

2022-03-21T04:43:52.000Z

molsysmt/tools/molecular_systems.py

uibcdf/MolSysMT

9866a6fb090df9fff36af113a45164da4b674c09

[ "MIT" ]

28

2020-06-24T00:55:53.000Z

2021-07-16T22:09:19.000Z

molsysmt/tools/molecular_systems.py

uibcdf/MolSysMT

9866a6fb090df9fff36af113a45164da4b674c09

[ "MIT" ]

1

2021-06-17T18:55:25.000Z

import numpy as np from molsysmt._private_tools.exceptions import * from molsysmt.tools.items import compatibles_for_a_single_molecular_system as items_compatibles_for_a_single_molecular_system from molsysmt._private_tools.lists_and_tuples import is_list_or_tuple def is_a_single_molecular_system(items): if is_list_or_tuple(items): for item in items: if is_list_or_tuple(item): return False output = items_compatibles_for_a_single_molecular_system(items) return output def where_elements_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") elements_item = None elements_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_coordinates = dict_has[form_in]["coordinates"] if has_elements: if elements_item is None: elements_item = item elements_form = form_in elif not has_coordinates: elements_item = item elements_form = form_in else: form_in = get_form(items) has_elements = dict_has[form_in]["elements"] if has_elements: elements_item = items elements_form = form_in return elements_item, elements_form def where_bonds_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") bonds_item = None bonds_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_bonds = dict_has[form_in]["bonds"] if has_bonds and not has_elements: bonds_item = item bonds_form = form_in break else: if has_bonds: if bonds_item is None: bonds_item = item bonds_form = form_in else: form_in = get_form(items) has_bonds = dict_has[form_in]["bonds"] if has_bonds: bonds_item = items bonds_form = form_in return bonds_item, bonds_form def where_coordinates_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") coordinates_item = None coordinates_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_coordinates = dict_has[form_in]["coordinates"] if has_coordinates: if coordinates_item is None: coordinates_item = item coordinates_form = form_in elif not has_elements: coordinates_item = item coordinates_form = form_in else: form_in = get_form(items) has_coordinates = dict_has[form_in]["coordinates"] if has_coordinates: coordinates_item = items coordinates_form = form_in return coordinates_item, coordinates_form def where_velocities_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") velocities_item = None velocities_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_velocities = dict_has[form_in]["velocities"] if has_velocities: if velocities_item is None: velocities_item = item velocities_form = form_in elif not has_elements: velocities_item = item velocities_form = form_in else: form_in = get_form(items) has_velocities = dict_has[form_in]["velocities"] if has_velocities: velocities_item = items velocities_form = form_in return velocities_item, velocities_form def where_box_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") box_item = None box_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_coordinates = dict_has[form_in]["coordinates"] has_box = dict_has[form_in]["box"] if has_box and not (has_elements or has_coordinates): box_item = item box_form = form_in break else: if has_box: if box_item is None: box_item = item box_form = form_in elif not has_elements: box_item = item box_form = form_in else: form_in = get_form(items) has_box = dict_has[form_in]["box"] if has_box: box_item = items box_form = form_in return box_item, box_form def where_ff_parameters_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") ff_parameters_item = None ff_parameters_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_ff_parameters = dict_has[form_in]["ff_parameters"] if has_ff_parameters and not has_elements: ff_parameters_item = item ff_parameters_form = form_in break else: if has_ff_parameters: if ff_parameters_item is None: ff_parameters_item = item ff_parameters_form = form_in else: form_in = get_form(items) has_ff_parameters = dict_has[form_in]["ff_parameters"] if has_ff_parameters: ff_parameters_item = items ff_parameters_form = form_in return ff_parameters_item, ff_parameters_form def where_mm_parameters_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") mm_parameters_item = None mm_parameters_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_ff_parameters = dict_has[form_in]["ff_parameters"] has_mm_parameters = dict_has[form_in]["mm_parameters"] if has_mm_parameters and not (has_elements or has_ff_parameters): mm_parameters_item = item mm_parameters_form = form_in break else: if has_mm_parameters and has_ff_parameters: mm_parameters_item = item mm_parameters_form = form_in break elif has_mm_parameters: if mm_parameters_item is None: mm_parameters_item = item mm_parameters_form = form_in else: form_in = get_form(items) has_mm_parameters = dict_has[form_in]["mm_parameters"] if has_mm_parameters: mm_parameters_item = items mm_parameters_form = form_in return mm_parameters_item, mm_parameters_form def where_simulation_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") simulation_item = None simulation_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_simulation = dict_has[form_in]["simulation"] if has_simulation and not has_elements: simulation_item = item simulation_form = form_in break else: if has_simulation: if simulation_item is None: simulation_item = item simulation_form = form_in else: form_in = get_form(items) has_simulation = dict_has[form_in]["simulation"] if has_simulation: simulation_item = items simulation_form = form_in return simulation_item, simulation_form def where_thermo_state_in_molecular_system(items): from molsysmt.multitool import get_form from molsysmt.forms import dict_has if not is_a_single_molecular_system(items): raise ValueError ("This method needs a single molecular system as input") thermo_state_item = None thermo_state_form = None if type(items) in [list, tuple]: for item in items: form_in = get_form(item) has_elements = dict_has[form_in]["elements"] has_simulation = dict_has[form_in]["simulation"] has_thermo_state = dict_has[form_in]["thermo_state"] if has_thermo_state and not (has_elements or has_simulation): thermo_state_item = item thermo_state_form = form_in break else: if has_thermo_state and has_simulation: thermo_state_item = item thermo_state_form = form_in break elif has_thermo_state: if thermo_state_item is None: thermo_state_item = item thermo_state_form = form_in else: form_in = get_form(items) has_thermo_state = dict_has[form_in]["thermo_state"] if has_thermo_state: thermo_state_item = items thermo_state_form = form_in return thermo_state_item, thermo_state_form

33.834835

125

0.613828

1,386

11,267

4.632756

0.04329

0.072886

0.051394

0.060738

0.78072

0.760473

0.731817

0.640866

0.637284

0.619218

0

0.332742

11,267

332

126

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0

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0

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0

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0

1

0

1

0

1

0

null

0

4

eee12eca4b121670d41db77661696f70326274ce

538,808

py

Python

pictures_missing_4.py

darabos/pyweek-lightswitch

b02104e781b204129f50bb29882057504da264f3

[ "Unlicense" ]

1

2015-01-15T18:00:24.000Z

pictures_missing_4.py

darabos/pyweek-lightswitch

b02104e781b204129f50bb29882057504da264f3

[ "Unlicense" ]

null

pictures_missing_4.py

darabos/pyweek-lightswitch

b02104e781b204129f50bb29882057504da264f3

[ "Unlicense" ]

null

import collections P = collections.namedtuple('P', 'time x y pressure') # time is in milliseconds, pressure goes from 0 to 1000. words = { 'kid': [ [P(0,237,265,90), P(27,234,264,141), P(29,230,264,172), P(31,229,264,270), P(40,227,264,298), P(54,226,264,321), P(55,224,264,345), P(63,223,264,356), P(67,221,263,384), P(87,217,262,400), P(91,215,261,443), P(104,213,260,458), P(124,206,255,470), P(127,204,253,505), P(135,201,251,517), P(143,199,248,525), P(151,197,245,529), P(160,194,242,541), P(167,192,238,549), P(176,190,234,552), P(183,188,230,556), P(187,186,227,560), P(195,185,223,564), P(203,183,220,568), P(212,183,217,572), P(219,182,214,572), P(227,182,211,576), P(235,182,208,576), P(240,182,204,576), P(247,183,201,576), P(257,184,197,580), P(263,186,194,580), P(272,188,190,580), P(279,191,186,580), P(287,194,183,580), P(295,197,179,584), P(299,201,176,584), P(307,204,173,584), P(315,207,171,584), P(323,210,168,584), P(331,214,167,584), P(341,217,165,584), P(347,220,163,584), P(356,224,161,584), P(360,227,159,584), P(367,231,157,588), P(376,235,155,584), P(383,240,153,584), P(392,245,152,588), P(399,250,150,588), P(409,255,149,588), P(415,259,148,584), P(419,264,147,588), P(427,268,147,584), P(435,272,147,588), P(443,276,148,584), P(451,279,148,588), P(460,283,149,588), P(467,287,150,580), P(476,290,151,584), P(480,293,152,584), P(487,296,154,584), P(495,299,155,576), P(503,301,157,576), P(511,303,159,576), P(520,305,161,580), P(527,307,163,584), P(535,309,165,580), P(543,310,167,580), P(547,312,169,580), P(558,313,171,584), P(563,314,173,584), P(571,315,175,584), P(579,316,178,580), P(587,317,180,584), P(595,317,183,584), P(599,318,185,580), P(610,318,188,580), P(615,318,190,580), P(624,318,193,580), P(631,318,195,580), P(640,318,198,584), P(647,318,200,580), P(655,318,202,580), P(659,317,204,580), P(667,317,206,584), P(676,316,207,580), P(683,315,209,584), P(692,315,210,580), P(700,314,212,580), P(709,313,214,584), P(715,312,215,584), P(719,311,217,588), 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P(4115,271,98,474), P(4126,270,100,474), P(4131,270,102,478), P(4142,270,103,478), P(4147,269,105,478), P(4151,269,106,478), P(4159,269,108,478), P(4168,268,109,478), P(4176,268,111,478), P(4183,268,112,478), P(4192,268,114,482), P(4199,267,115,478), P(4209,267,116,478), P(4211,267,118,482), P(4219,267,119,478), P(4227,267,120,478), P(4235,267,120,478), P(4243,267,121,478), P(4251,266,121,478), P(4260,266,122,478), P(4267,266,122,482), P(4272,266,122,478), P(4279,266,123,482), P(4289,266,123,482), P(4295,266,124,478), P(4310,266,124,478), P(4311,265,124,478), P(4319,265,124,478), P(4327,265,124,486), P(4331,265,124,482), P(4342,265,124,482), P(4347,265,124,486), P(4356,265,124,482), P(4363,265,124,486), P(4373,265,123,490), P(4379,265,122,486), P(4389,264,121,490), P(4392,264,120,486), P(4399,264,118,490), P(4408,263,117,486), P(4415,263,115,490), P(4431,262,113,490), P(4432,261,111,490), P(4443,260,109,486), P(4447,260,107,486), P(4451,259,106,490), P(4459,258,104,486), P(4467,257,103,486), P(4476,256,101,486), P(4483,255,99,486), P(4492,255,98,486), P(4499,254,96,486), P(4509,253,94,490), P(4511,253,93,486), P(4519,252,91,486), P(4527,252,89,494), P(4535,251,88,494), P(4544,251,86,494), P(4551,250,85,498), P(4560,250,84,498), P(4567,249,84,498), P(4572,249,83,498), P(4579,249,83,498), P(4594,249,83,498), P(4595,249,83,498), P(4606,249,83,498), P(4612,249,83,498), P(4619,248,83,498), P(4628,248,83,501), P(4631,248,83,501), P(4640,248,83,501), P(4647,248,83,505), P(4659,248,83,501), P(4663,248,83,501), P(4673,248,83,498), P(4680,248,83,498), P(4690,248,83,498), P(4693,248,84,498), P(4699,248,85,498), P(4723,247,87,498), P(4724,247,88,498), P(4731,247,89,498), P(4739,247,90,498), P(4747,247,92,498), P(4754,247,93,498), P(4760,247,95,498), P(4767,247,97,498), P(4777,246,99,498), P(4786,246,100,498), P(4793,246,102,498), P(4799,246,104,498), P(4810,246,106,498), P(4811,246,107,498), P(4819,246,109,498), P(4828,246,111,498), P(4835,246,112,498), 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P(5961,211,93,509), P(5967,211,92,509), P(5977,211,92,509), P(5983,210,92,509), P(5991,210,92,509), P(5999,210,91,513), P(6007,210,91,513), P(6013,210,91,517), P(6019,210,91,513), P(6028,209,91,509), P(6035,209,91,509), P(6044,209,91,509), P(6051,209,91,509), P(6061,209,91,509), P(6067,209,91,505), P(6071,209,91,505), P(6082,209,91,505), P(6087,209,91,505), P(6098,209,91,501), P(6103,208,91,501), P(6114,208,92,501), P(6119,208,92,501), P(6132,208,93,501), P(6139,207,93,501), P(6149,207,94,501), P(6155,207,94,501), P(6163,207,95,501), P(6171,207,95,501), P(6181,207,95,501), P(6187,207,96,501), P(6191,207,96,501), P(6199,207,97,501), P(6207,207,97,501), P(6215,206,98,501), P(6223,206,99,501), P(6231,206,100,501), P(6240,206,102,501), P(6247,206,103,501), P(6251,206,104,501), P(6264,206,106,501), P(6267,206,107,501), P(6277,206,108,501), P(6283,206,109,501), P(6291,205,111,501), P(6299,205,112,501), P(6307,205,113,505), P(6311,205,115,505), P(6319,205,116,505), P(6328,205,118,505), P(6335,205,120,505), P(6344,205,121,501), P(6351,205,123,501), P(6361,205,124,501), P(6367,205,125,501), P(6371,205,126,501), P(6380,206,127,501), P(6387,206,128,501), P(6399,206,129,501), P(6403,206,130,501), P(6411,206,130,501), P(6419,206,131,501), P(6428,206,131,501), P(6431,206,131,505), P(6439,206,131,509), P(6448,206,131,509), P(6455,206,130,509), P(6465,206,130,509), P(6471,206,130,509), P(6481,206,129,509), P(6487,205,128,509), P(6491,205,128,509), P(6499,205,126,509), P(6507,204,125,509), P(6515,203,123,509), P(6523,203,122,509), P(6532,202,120,509), P(6539,202,117,509), P(6548,201,115,505), P(6551,200,113,505), P(6561,200,112,505), P(6567,199,110,505), P(6575,199,109,505), P(6583,198,108,505), P(6591,198,107,505), P(6599,197,106,505), P(6607,196,105,505), P(6611,196,104,505), P(6619,195,103,505), P(6628,194,103,505), P(6635,194,101,505), P(6645,193,100,505), P(6651,192,99,505), P(6666,191,98,505), P(6667,190,97,505), P(6671,190,96,505), P(6679,189,95,505), P(6687,189,94,505), P(6695,189,94,505), P(6703,188,93,501), P(6712,188,93,501), P(6719,188,93,501), P(6728,188,93,501), P(6731,188,93,501), P(6739,188,93,501), P(6748,188,93,501), P(6755,188,93,501), P(6765,188,93,501), P(6771,188,93,501), P(6779,188,93,501), P(6787,188,93,501), P(6791,188,93,498), P(6799,188,93,498), P(6807,188,93,494), P(6816,188,93,486), P(6823,188,93,486), P(6832,188,93,486), P(6839,188,93,486), P(6850,188,93,486), P(6851,188,93,486), P(6859,188,93,486), P(6867,189,94,486), P(6875,189,94,486), P(6883,189,94,486), P(6891,189,95,490), P(6899,189,95,486), P(6907,189,95,490), P(6912,189,96,486), P(6919,189,97,486), P(6929,189,97,490), P(6935,189,98,486), P(6950,189,98,490), P(6951,189,99,490), P(6962,189,100,486), P(6967,189,100,486), P(6971,189,101,494), P(6979,189,102,486), P(6987,189,103,494), P(6996,189,103,494), P(7003,189,105,494), P(7012,189,106,494), P(7019,189,107,494), P(7029,190,108,494), P(7033,190,109,494), P(7039,190,110,494), P(7048,190,112,498), 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P(4518,214,272,466), P(4524,215,272,466), P(4539,217,271,470), P(4540,219,271,466), P(4543,221,271,466), P(4552,224,270,466), P(4560,226,269,466), P(4568,228,269,466), P(4576,231,268,466), P(4585,233,267,466), P(4591,235,266,466), P(4602,237,265,466), P(4605,239,263,470), P(4618,241,262,466), P(4623,243,261,470), P(4635,245,260,462), P(4638,246,260,454), P(4652,247,259,439), P(4653,248,258,407), P(4668,250,257,313), P(4672,250,257,258), P(4688,251,256,200), P(4702,252,256,7), ], [P(4740,254,254,19), P(4747,255,253,82), P(4756,256,252,141), P(4764,257,252,192), P(4773,258,252,227), P(4780,258,251,254), P(4783,259,251,278), P(4791,260,250,301), P(4800,262,250,317), P(4810,263,249,333), P(4815,265,248,352), P(4824,267,247,372), P(4832,269,245,388), P(4840,271,244,400), P(4844,273,242,415), P(4852,276,241,435), P(4860,279,239,439), P(4868,282,238,443), P(4876,285,237,447), P(4884,287,236,450), P(4892,290,235,450), P(4900,292,234,450), P(4906,295,233,454), P(4912,297,233,454), 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P(5274,325,217,396), P(5280,324,217,396), P(5290,324,217,396), P(5296,324,217,396), P(5304,323,217,400), P(5311,323,217,400), P(5320,323,217,400), P(5323,322,217,403), P(5332,322,217,400), P(5340,321,217,403), P(5348,320,216,407), P(5357,320,216,411), P(5363,319,216,415), P(5373,317,215,415), P(5379,316,214,419), P(5383,315,213,419), P(5392,313,212,419), P(5399,311,210,419), P(5408,309,208,419), P(5416,307,205,415), P(5426,305,202,415), P(5431,303,199,415), P(5442,301,195,415), P(5444,299,190,415), P(5452,297,186,415), P(5460,294,182,415), P(5468,292,178,415), P(5476,290,175,419), P(5484,289,173,419), P(5493,287,170,415), P(5500,286,168,415), P(5504,286,166,411), P(5511,285,164,411), P(5520,285,163,403), P(5527,285,161,400), P(5536,285,160,396), P(5544,286,160,380), P(5552,286,159,337), P(5560,286,159,258), P(5563,286,159,117), ], [P(6188,242,217,50), P(6224,241,216,227), P(6232,241,216,250), P(6240,241,217,278), P(6248,241,218,309), P(6256,241,218,333), P(6264,241,219,349), P(6272,240,220,364), P(6280,240,221,380), P(6283,240,222,400), P(6293,240,224,419), P(6300,239,226,439), P(6310,239,229,462), P(6315,240,233,482), P(6326,240,237,498), P(6331,241,242,521), P(6343,242,247,537), P(6344,243,254,556), P(6352,244,260,568), P(6360,245,266,576), P(6368,245,272,584), P(6377,245,278,592), P(6384,245,283,596), P(6394,245,288,596), P(6400,244,293,596), P(6403,243,298,600), P(6411,242,303,603), P(6420,241,308,603), P(6428,240,313,600), P(6436,240,318,603), P(6444,240,322,600), P(6452,240,326,600), P(6461,241,330,600), P(6463,243,333,603), P(6472,244,336,603), P(6480,245,339,603), P(6487,246,340,603), P(6495,247,342,603), P(6504,247,343,603), P(6512,247,344,607), P(6519,247,344,607), P(6526,247,345,603), P(6531,246,345,607), P(6540,246,345,600), P(6547,246,346,600), P(6556,246,346,603), P(6564,246,346,596), P(6572,246,346,588), P(6579,246,346,568), P(6583,246,346,549), P(6593,246,346,517), P(6599,246,345,466), P(6610,246,344,384), P(6615,246,343,219), ], 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P(7755,353,298,474), P(7763,353,298,454), P(7771,353,298,419), P(7781,353,298,372), P(7783,353,298,317), P(7792,353,298,254), P(7799,353,297,215), P(7807,353,297,145), P(7815,353,297,31), ], [P(7852,353,297,23), P(7900,352,297,211), P(7903,352,297,223), P(7911,352,297,231), P(7920,352,297,243), P(7930,352,297,258), P(7936,352,297,270), P(7943,352,297,282), P(7953,352,297,290), P(7960,351,297,294), P(7964,351,297,305), P(7971,351,297,305), P(7980,351,297,321), P(7987,351,297,333), P(7996,350,297,341), P(8003,350,298,352), P(8012,350,298,356), P(8020,349,298,364), P(8023,349,299,372), P(8032,349,299,384), P(8039,349,299,388), P(8048,348,299,392), P(8055,348,300,400), P(8065,348,300,403), P(8071,347,300,415), P(8081,347,301,419), P(8084,347,301,427), P(8092,346,301,435), P(8101,345,302,435), P(8107,345,303,439), P(8115,344,303,439), P(8123,343,304,443), P(8131,342,305,443), P(8139,341,305,450), P(8143,340,306,454), P(8151,339,307,458), P(8159,338,307,462), P(8168,337,308,470), 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P(10411,238,403,301), P(10419,239,403,86), ], [P(11572,300,332,35), P(11692,301,332,403), P(11700,301,333,415), P(11708,302,334,423), P(11716,302,335,427), P(11723,303,336,435), P(11731,303,337,447), P(11739,304,338,454), P(11743,304,340,458), P(11752,304,341,462), P(11760,305,343,470), P(11767,305,345,474), P(11777,305,347,478), P(11783,306,350,482), P(11792,306,352,486), P(11799,306,355,486), P(11803,306,357,482), P(11811,307,360,482), P(11820,307,362,490), P(11828,307,364,486), P(11836,308,366,490), P(11843,308,369,486), P(11851,308,371,486), P(11860,308,373,486), P(11863,309,374,486), P(11874,309,376,486), P(11879,309,378,490), P(11888,310,379,486), P(11895,310,381,490), P(11903,310,382,486), P(11911,310,383,490), P(11919,310,383,490), P(11924,310,384,494), P(11931,310,385,494), P(11940,310,385,494), P(11947,310,386,494), P(11957,310,386,494), P(11963,310,387,494), P(11974,310,387,494), P(11980,310,388,494), P(11983,310,388,494), P(11991,310,388,494), P(12014,310,389,494), 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P(18712,243,122,400), P(18720,244,123,400), P(18728,245,123,376), P(18735,246,123,321), P(18743,247,123,133), ], ], 'stallion': [ [P(0,114,126,23), P(44,113,127,243), P(52,114,128,274), P(60,114,129,305), P(68,114,130,333), P(75,114,132,352), P(83,114,134,364), P(91,114,137,384), P(100,114,140,400), P(103,114,144,411), P(113,114,148,423), P(119,115,152,439), P(129,115,157,450), P(135,116,161,458), P(143,117,166,470), P(151,118,170,466), P(160,119,174,474), P(163,120,178,482), P(171,121,182,482), P(180,122,186,494), P(187,123,190,494), P(197,124,195,498), P(204,125,199,501), P(213,126,202,501), P(219,128,206,505), P(223,129,208,505), P(231,131,211,509), P(239,133,213,509), P(249,134,215,517), P(256,136,217,517), P(264,138,219,521), P(272,139,220,521), P(280,140,222,521), P(283,141,223,525), P(291,141,225,529), P(301,142,226,529), P(308,143,227,529), P(317,143,228,533), P(323,144,228,537), P(331,145,228,537), P(340,146,228,545), P(343,147,228,541), P(352,148,228,549), P(359,149,227,549), 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P(12143,414,174,443), P(12151,417,172,443), P(12155,419,170,439), P(12164,421,168,439), P(12172,423,167,443), P(12180,425,165,439), P(12187,427,163,439), P(12196,429,161,443), P(12203,431,159,443), P(12211,433,156,439), P(12215,435,154,439), P(12223,437,152,439), P(12231,439,149,443), P(12239,441,147,443), P(12247,442,144,443), P(12255,444,142,443), P(12264,445,139,439), P(12272,446,137,439), P(12275,447,135,443), P(12283,448,132,439), P(12291,448,130,439), P(12299,449,128,443), P(12307,449,127,443), P(12315,449,125,447), P(12323,450,124,443), P(12332,450,123,443), P(12335,450,122,443), P(12343,450,121,450), P(12351,450,121,450), P(12359,450,120,450), P(12367,449,119,450), P(12375,449,119,450), P(12383,449,118,450), P(12391,449,118,450), P(12395,449,117,450), P(12403,449,117,450), P(12411,449,117,454), P(12419,449,116,454), P(12427,448,116,454), P(12435,448,116,454), P(12443,448,116,454), P(12451,448,116,454), P(12455,448,115,458), P(12464,448,115,458), P(12471,448,115,458), P(12479,448,115,458), P(12488,448,115,458), P(12495,447,115,458), P(12503,447,115,458), P(12511,447,115,462), P(12519,447,114,462), P(12523,447,114,462), P(12531,447,114,462), P(12539,446,114,462), P(12548,446,113,462), P(12555,446,113,462), P(12564,446,113,462), P(12571,445,113,462), P(12579,445,113,462), P(12583,445,112,462), P(12591,445,112,462), P(12599,444,112,462), P(12607,444,111,462), P(12615,444,111,462), P(12623,444,111,462), P(12631,444,111,462), P(12635,444,110,462), P(12643,443,110,466), P(12651,443,110,470), P(12659,443,110,470), P(12667,443,109,466), P(12675,442,109,466), P(12683,442,109,466), P(12691,441,109,466), P(12695,441,109,470), P(12703,441,108,470), P(12711,441,108,474), P(12719,440,108,470), P(12728,440,108,470), P(12735,440,108,470), P(12743,440,108,470), P(12751,440,108,474), P(12755,439,108,470), P(12765,439,108,474), P(12772,439,108,470), P(12779,439,108,474), P(12787,438,108,474), P(12795,438,108,474), P(12803,437,108,474), P(12811,437,108,470), P(12815,436,108,470), P(12823,436,108,470), P(12832,436,108,470), P(12839,435,108,470), P(12848,435,108,470), P(12855,434,108,474), P(12865,434,108,474), P(12872,434,108,474), P(12875,433,108,470), P(12883,433,108,470), P(12891,432,109,470), P(12900,431,109,474), P(12907,431,109,474), P(12916,431,109,474), P(12924,430,109,474), P(12933,430,110,474), P(12935,429,110,474), P(12943,429,110,474), P(12951,428,110,478), P(12959,428,110,474), P(12967,427,111,474), P(12975,427,111,474), P(12984,427,111,470), P(12991,426,111,470), P(12995,426,112,470), P(13003,426,112,470), P(13011,426,112,470), P(13019,426,112,470), P(13027,426,112,470), P(13035,426,112,470), P(13043,426,112,478), P(13051,426,112,478), P(13055,426,112,478), P(13063,426,112,474), P(13072,426,112,474), P(13079,426,112,478), P(13087,426,112,478), P(13095,426,112,482), P(13103,426,112,482), P(13111,426,112,486), P(13116,426,112,482), P(13123,426,112,482), P(13133,426,112,482), P(13139,426,112,482), P(13147,426,112,482), P(13155,426,112,482), P(13163,426,111,482), P(13171,426,111,478), P(13175,426,111,478), P(13183,426,110,482), P(13191,426,110,482), P(13201,426,109,482), P(13207,426,109,478), P(13217,426,108,478), P(13223,427,108,478), P(13233,427,107,482), P(13235,428,107,478), P(13243,428,106,474), P(13251,429,105,474), P(13259,430,104,474), P(13267,431,104,474), P(13278,432,103,478), P(13283,433,102,474), P(13291,434,101,478), P(13295,435,100,474), P(13303,436,99,474), P(13311,437,99,474), P(13319,438,98,478), P(13327,439,97,474), P(13335,440,96,470), P(13343,441,96,470), P(13351,442,95,470), P(13355,443,94,470), P(13363,444,94,470), P(13371,445,93,470), P(13379,447,93,466), P(13387,448,92,466), P(13395,450,92,470), P(13403,452,91,466), P(13411,453,91,466), P(13416,454,91,462), P(13423,456,91,458), P(13431,457,91,458), P(13439,458,91,454), P(13447,459,91,454), P(13455,460,91,454), P(13463,461,91,450), P(13471,462,92,439), P(13475,463,92,435), P(13485,464,93,435), P(13491,465,93,431), P(13501,466,94,427), P(13507,467,95,427), P(13517,467,96,427), P(13523,468,97,427), P(13531,468,97,423), P(13535,469,98,423), P(13543,469,99,419), P(13551,470,100,419), P(13559,470,101,415), P(13567,470,102,411), P(13575,471,103,407), P(13584,471,103,400), P(13591,471,104,400), P(13595,471,105,400), P(13603,472,106,396), P(13611,472,107,400), P(13619,472,107,396), P(13627,472,108,396), P(13635,472,109,400), P(13643,472,110,396), P(13651,472,111,396), P(13655,472,111,392), P(13663,473,112,392), P(13672,473,113,392), P(13679,473,114,388), P(13688,473,115,388), P(13695,473,116,384), P(13704,473,117,384), P(13711,473,118,384), P(13715,473,119,384), P(13723,473,121,384), P(13731,473,122,384), P(13739,473,123,384), P(13747,473,125,380), P(13755,473,126,380), P(13763,473,128,380), P(13771,473,129,380), P(13775,473,131,372), P(13786,473,132,372), P(13791,473,134,368), P(13800,473,135,356), P(13807,472,136,349), P(13815,472,138,337), P(13823,472,139,341), P(13832,472,140,333), P(13835,472,141,333), P(13843,472,142,333), P(13852,472,143,333), P(13859,471,144,333), P(13867,471,145,333), P(13875,471,146,333), P(13884,470,148,333), P(13891,470,149,333), P(13894,469,150,333), P(13903,468,151,333), P(13911,468,152,333), P(13919,467,153,333), P(13927,467,155,337), P(13935,467,156,333), P(13943,466,157,337), P(13952,466,158,337), P(13955,466,159,333), P(13963,465,160,337), P(13971,465,161,341), P(13979,464,162,337), P(13987,464,163,341), P(13995,463,164,341), P(14003,462,166,337), P(14011,462,167,337), P(14015,461,168,337), P(14023,460,169,337), P(14032,460,171,341), P(14048,459,172,341), P(14049,458,173,341), P(14065,457,176,341), P(14082,456,179,345), P(14085,455,180,341), P(14099,454,181,345), P(14099,453,182,341), P(14115,452,184,349), P(14116,451,185,349), P(14132,449,188,349), P(14136,447,190,349), P(14148,446,191,349), P(14153,445,193,352), P(14168,443,195,352), P(14181,442,196,356), P(14184,442,197,360), P(14198,440,199,360), P(14203,439,200,364), P(14215,438,201,368), P(14219,437,202,368), P(14232,436,203,376), P(14237,435,204,372), P(14249,434,205,380), P(14252,433,206,380), P(14266,430,207,380), P(14282,428,208,384), P(14303,427,209,388), P(14303,426,209,388), P(14316,424,210,388), P(14332,422,211,392), P(14349,420,212,392), P(14366,418,213,396), P(14382,416,213,400), P(14383,415,213,396), P(14399,413,213,400), P(14400,412,213,400), P(14416,410,212,400), P(14436,406,211,403), P(14449,404,210,403), P(14452,403,210,403), P(14466,402,209,403), P(14470,400,209,403), P(14483,399,208,407), P(14483,398,207,403), P(14499,395,205,407), P(14503,394,204,407), P(14517,393,203,411), P(14533,390,202,411), P(14537,388,201,411), P(14550,386,200,411), P(14552,384,199,415), P(14569,380,198,415), P(14583,378,197,419), P(14599,376,196,419), P(14603,375,195,427), P(14617,375,194,431), P(14633,374,193,431), P(14650,372,190,439), P(14666,370,188,443), P(14675,369,187,450), P(14678,368,187,450), P(14683,367,186,454), P(14700,367,185,454), P(14703,366,184,454), P(14721,365,183,454), P(14723,365,183,454), P(14731,364,182,454), P(14736,364,182,450), P(14743,364,181,450), P(14753,364,181,443), P(14759,363,181,427), P(14767,363,181,372), P(14775,363,180,278), P(14783,364,180,27), ], [P(16224,298,187,15), P(16275,297,188,47), P(16283,296,189,47), P(16291,296,189,47), P(16295,296,189,47), P(16303,296,189,47), P(16311,296,189,47), P(16319,296,189,54), P(16327,296,190,74), P(16335,296,190,94), P(16344,296,190,109), P(16351,295,190,129), P(16357,295,190,137), P(16363,295,190,141), P(16371,295,190,149), P(16379,294,190,152), P(16387,294,190,160), P(16395,294,190,160), P(16403,294,190,172), P(16411,293,190,176), P(16415,293,190,180), P(16424,292,190,188), P(16431,292,190,192), P(16441,292,190,200), P(16447,291,190,203), P(16456,291,190,219), P(16462,291,190,231), P(16471,290,190,239), P(16475,290,190,250), P(16483,290,190,258), P(16491,289,190,266), P(16499,289,190,270), P(16507,289,190,270), P(16515,288,190,274), P(16524,288,190,278), P(16531,288,190,286), P(16534,287,190,286), P(16543,287,190,294), P(16551,286,190,298), P(16559,285,190,301), P(16567,285,190,301), P(16575,284,190,309), P(16583,284,190,313), P(16591,284,190,313), P(16595,283,190,321), P(16603,283,190,325), P(16611,282,190,325), P(16619,282,190,329), P(16627,282,191,333), P(16635,281,191,333), P(16644,281,191,341), P(16651,280,191,341), P(16657,280,190,345), P(16663,279,190,349), P(16671,279,190,349), P(16679,278,189,349), P(16687,278,189,349), P(16695,277,189,352), P(16703,277,188,352), P(16711,276,188,352), P(16715,276,187,352), P(16725,275,187,352), P(16731,274,186,356), P(16741,274,185,356), P(16747,273,184,356), P(16755,273,184,356), P(16763,272,183,364), P(16771,272,182,364), P(16775,272,182,364), P(16783,271,181,360), P(16792,271,180,364), P(16799,270,180,364), P(16810,269,179,368), P(16815,268,179,368), P(16827,267,179,368), P(16831,267,178,368), P(16835,265,177,368), P(16844,264,177,368), P(16851,263,176,368), P(16859,262,176,368), P(16867,261,175,372), P(16878,259,174,376), P(16883,258,174,372), P(16894,257,173,372), P(16895,256,173,376), P(16902,255,173,372), P(16911,254,172,372), P(16918,253,172,372), P(16927,253,172,372), P(16935,252,172,372), P(16944,252,172,372), P(16951,251,172,376), P(16955,251,172,372), P(16963,250,172,372), P(16971,250,172,376), P(16979,249,173,372), P(16987,248,174,372), P(16995,247,174,372), P(17003,247,175,372), P(17011,246,176,372), P(17015,245,177,376), P(17023,245,178,376), P(17031,245,179,376), P(17039,244,179,372), P(17047,244,180,372), P(17055,244,180,380), P(17063,243,180,380), P(17071,243,181,380), P(17078,243,181,380), P(17083,242,181,380), P(17094,241,182,380), P(17099,241,182,380), P(17107,240,182,380), P(17115,240,182,380), P(17123,240,183,380), P(17131,240,183,380), P(17135,240,183,380), P(17144,239,183,380), P(17151,239,183,380), P(17161,239,183,380), P(17167,239,183,380), P(17178,239,183,380), P(17183,239,183,380), P(17194,239,183,380), P(17195,239,183,380), P(17203,238,184,380), P(17211,238,184,380), P(17219,238,184,380), P(17228,238,184,380), P(17235,238,184,380), P(17245,238,184,384), P(17251,238,184,384), P(17255,238,184,384), P(17262,238,184,384), P(17271,238,184,384), P(17279,238,184,384), P(17287,238,183,384), P(17295,238,183,384), P(17303,238,183,384), P(17311,238,183,384), P(17315,238,183,384), P(17323,238,183,384), P(17331,238,183,384), P(17339,238,183,384), P(17347,238,182,384), P(17354,238,182,384), P(17363,238,182,384), P(17371,238,181,384), P(17378,238,181,384), P(17383,238,180,384), P(17391,238,179,384), P(17399,238,178,384), P(17407,238,177,384), P(17415,238,176,384), P(17423,238,175,384), P(17431,237,174,384), P(17434,237,172,384), P(17445,236,171,384), P(17451,236,171,384), P(17462,235,170,384), P(17467,235,170,384), P(17478,234,169,384), P(17483,233,169,384), P(17491,233,168,384), P(17496,232,168,384), P(17503,232,167,384), P(17512,231,166,384), P(17519,231,165,384), P(17528,230,165,384), P(17535,230,164,384), P(17545,229,163,384), P(17551,228,162,384), P(17554,228,162,384), P(17562,227,162,384), P(17571,226,162,380), P(17579,226,162,380), P(17587,225,162,380), P(17595,224,162,380), P(17603,224,162,380), P(17611,224,162,380), P(17615,223,162,380), P(17623,223,162,380), P(17631,223,163,380), P(17639,222,163,380), P(17647,222,163,380), P(17655,221,163,380), P(17663,220,164,380), P(17671,219,165,380), P(17677,218,165,380), P(17683,217,165,380), P(17691,217,166,380), P(17699,216,166,380), P(17707,215,166,380), P(17714,214,166,380), P(17723,212,166,384), P(17731,211,166,380), P(17734,210,166,384), P(17745,209,166,380), P(17750,208,166,384), P(17763,208,166,384), P(17767,207,166,384), P(17775,206,166,384), P(17783,206,166,384), P(17791,205,166,384), P(17796,205,165,384), P(17803,205,165,384), P(17812,204,164,384), P(17819,204,164,384), P(17829,204,163,380), P(17835,203,163,384), P(17846,203,162,380), P(17851,203,161,380), P(17855,202,160,384), P(17863,202,159,384), P(17871,202,158,380), P(17879,202,157,380), P(17887,202,157,380), P(17896,202,156,380), P(17903,202,155,380), P(17912,202,155,380), P(17914,202,155,380), P(17923,202,154,380), P(17931,202,154,380), P(17939,202,154,380), P(17947,202,153,372), P(17955,202,153,372), P(17963,202,152,372), P(17970,203,152,372), P(17975,203,151,372), P(17983,203,150,376), P(17991,204,150,372), P(17999,204,150,372), P(18007,204,149,372), P(18014,204,149,372), P(18022,204,149,372), P(18031,204,149,372), P(18034,204,149,372), P(18046,204,149,380), P(18051,204,149,380), P(18061,204,149,372), P(18067,204,149,372), P(18075,204,149,372), P(18083,204,149,376), P(18091,204,149,368), P(18095,204,150,368), P(18103,203,150,372), P(18113,202,151,376), P(18119,202,151,372), P(18130,201,151,372), P(18135,201,152,376), P(18145,200,152,376), P(18151,199,152,372), P(18155,198,153,372), P(18163,197,153,372), P(18171,197,153,372), P(18179,196,153,380), P(18187,196,153,380), P(18196,195,153,380), P(18203,195,153,380), P(18213,194,153,380), P(18215,194,153,380), P(18223,193,152,380), P(18231,193,152,380), P(18239,192,151,380), P(18247,192,150,380), P(18255,191,149,380), P(18263,190,148,380), P(18271,190,148,380), P(18275,190,147,380), P(18283,189,146,380), P(18291,189,145,380), P(18299,189,143,380), P(18306,189,142,380), P(18315,189,141,376), P(18323,189,140,372), P(18330,190,138,372), P(18335,191,137,372), P(18343,191,135,372), P(18351,192,133,380), P(18359,194,132,380), P(18366,195,130,380), P(18375,196,128,380), P(18382,197,127,380), P(18391,198,125,380), P(18396,199,123,380), P(18403,200,122,380), P(18414,201,120,380), P(18419,202,119,380), P(18435,203,117,380), P(18438,204,116,380), P(18444,205,115,380), P(18450,206,113,380), P(18454,207,112,380), P(18463,207,112,380), P(18471,208,111,380), P(18479,208,110,380), P(18486,209,110,380), P(18497,209,109,380), P(18502,209,109,380), P(18512,209,109,380), P(18514,209,109,380), P(18523,209,109,380), P(18531,209,109,380), P(18539,209,109,380), P(18547,209,109,380), P(18555,209,109,380), P(18563,209,109,380), P(18571,209,109,384), P(18575,209,109,384), P(18583,209,109,384), P(18591,209,109,384), P(18598,208,108,384), P(18607,208,108,384), P(18616,207,108,384), P(18623,206,108,384), P(18631,205,107,384), P(18635,204,107,384), P(18646,203,107,384), P(18650,202,106,384), P(18659,201,106,384), P(18666,201,106,384), P(18675,200,105,384), P(18683,199,105,384), P(18691,199,105,384), P(18697,198,105,380), P(18703,197,105,380), P(18714,197,105,380), P(18719,196,105,380), P(18728,196,105,380), P(18735,195,105,380), P(18745,195,105,380), P(18751,195,105,380), P(18755,194,105,380), P(18764,194,105,380), P(18771,194,106,380), P(18781,193,106,380), P(18786,193,106,380), P(18798,192,106,380), P(18803,192,107,380), P(18813,191,107,380), P(18814,191,107,380), P(18823,191,107,380), P(18832,190,108,380), P(18839,190,108,380), P(18847,190,108,372), P(18855,190,108,372), P(18865,190,108,376), P(18871,190,108,376), P(18876,189,109,372), P(18882,189,109,372), P(18891,189,109,372), P(18899,188,110,376), P(18907,188,110,380), P(18915,187,111,380), P(18923,187,111,380), P(18931,186,111,380), P(18935,186,112,380), P(18945,186,112,380), P(18951,185,112,380), P(18961,185,113,380), P(18967,184,113,380), P(18977,184,113,380), P(18983,184,113,380), P(18991,183,113,380), P(18997,183,113,380), P(19002,183,114,380), P(19014,182,114,380), P(19019,181,114,380), P(19028,181,115,380), P(19035,180,115,380), P(19048,179,115,380), P(19051,179,116,380), P(19055,178,116,380), P(19064,177,117,380), P(19071,177,118,372), P(19081,176,118,372), P(19087,176,118,372), P(19095,176,119,376), P(19102,176,119,372), P(19111,175,119,372), P(19115,175,119,376), P(19122,175,119,380), P(19131,175,119,380), P(19138,175,119,380), P(19148,175,119,380), P(19155,174,119,380), P(19165,174,119,372), P(19171,174,119,376), P(19175,174,119,368), P(19183,174,119,368), P(19191,173,119,364), P(19199,173,119,341), P(19207,172,119,321), P(19215,172,120,294), 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P(2212,205,138,82), P(2219,205,139,86), P(2229,204,139,78), P(2235,203,140,78), P(2245,202,140,78), P(2251,201,141,78), P(2261,200,142,82), P(2267,198,143,82), P(2271,196,144,82), P(2280,195,144,82), P(2288,194,145,86), P(2296,193,145,86), P(2303,192,146,90), P(2311,191,146,98), P(2319,190,146,98), P(2329,190,146,98), P(2334,189,147,101), P(2339,188,147,101), P(2348,188,148,101), P(2355,187,148,101), P(2363,185,149,101), P(2371,184,150,101), P(2379,183,150,101), P(2387,182,151,109), P(2391,181,151,109), P(2399,180,151,105), P(2407,179,152,105), P(2417,178,152,109), P(2423,177,152,109), P(2432,177,152,109), P(2439,176,152,109), P(2448,175,153,109), P(2451,174,153,109), P(2459,174,154,109), P(2467,173,154,109), P(2475,172,155,109), P(2483,171,155,109), P(2491,170,156,117), P(2499,170,156,113), P(2507,169,157,117), P(2512,168,157,121), P(2519,167,158,125), P(2529,167,158,133), P(2535,166,159,137), P(2544,166,159,149), P(2551,165,159,152), P(2560,165,160,152), P(2567,164,160,152), P(2571,164,161,152), P(2579,163,161,152), P(2587,163,162,152), P(2596,162,163,152), P(2603,161,163,156), P(2611,161,163,156), P(2619,160,164,156), P(2628,160,164,156), P(2632,159,164,156), P(2639,158,165,160), P(2647,158,165,156), P(2655,157,166,160), P(2663,156,166,156), P(2671,155,166,156), P(2679,155,167,156), P(2687,154,167,156), P(2691,153,168,156), P(2699,153,168,156), P(2707,152,169,152), P(2716,152,169,152), P(2723,151,170,152), P(2733,151,170,152), P(2739,151,170,149), P(2747,150,171,149), P(2751,150,171,141), P(2761,150,172,125), P(2768,150,172,86), P(2775,149,173,7), ], [P(4087,149,181,3), P(4096,151,182,3), P(4104,151,182,3), P(4111,152,182,7), P(4122,152,182,3), P(4127,153,182,7), P(4131,153,182,3), P(4139,154,182,3), P(4147,154,182,7), P(4156,154,182,3), P(4163,154,183,7), P(4172,154,183,7), P(4179,154,184,7), P(4187,154,184,7), P(4191,154,185,11), P(4199,154,185,11), P(4207,154,186,11), P(4215,154,186,11), P(4224,154,187,19), P(4231,154,187,15), P(4240,154,188,23), P(4243,154,188,23), P(4251,154,189,27), P(4259,154,189,31), P(4267,154,190,35), P(4275,154,191,39), P(4283,154,191,47), P(4291,154,192,50), P(4299,154,193,58), P(4307,154,194,58), P(4311,154,194,66), P(4321,154,195,66), P(4327,154,195,62), P(4335,154,196,70), P(4343,154,197,70), P(4351,154,197,70), P(4359,154,198,70), P(4367,155,199,70), P(4373,155,199,70), P(4379,155,200,70), P(4389,156,200,70), P(4395,156,200,74), P(4406,157,200,74), P(4411,157,200,74), P(4421,158,200,74), P(4427,158,200,78), P(4431,159,201,78), P(4440,159,201,78), P(4447,159,201,86), P(4457,159,202,86), P(4463,159,203,98), P(4474,159,203,109), P(4479,159,204,121), P(4483,159,205,137), P(4491,159,206,149), P(4499,159,206,156), P(4507,159,207,164), P(4515,159,207,164), P(4524,159,208,172), P(4531,159,209,172), P(4541,159,209,172), P(4547,159,210,172), P(4551,159,210,176), P(4559,158,210,176), P(4567,158,211,176), P(4575,158,211,176), P(4583,158,211,180), P(4591,158,212,180), P(4599,158,212,180), P(4608,158,212,180), P(4611,158,213,180), P(4619,158,213,180), P(4627,158,214,180), P(4635,158,214,180), P(4643,158,214,180), P(4651,158,215,180), P(4659,158,215,180), P(4667,158,215,180), P(4674,158,215,180), P(4679,158,215,180), P(4690,158,215,180), P(4695,158,216,180), P(4707,158,216,180), P(4711,158,216,180), P(4719,159,216,180), P(4727,159,216,180), P(4731,159,216,188), P(4740,159,216,184), P(4747,159,216,184), P(4757,159,217,188), P(4763,159,217,192), P(4774,159,217,192), P(4779,159,217,188), P(4791,159,217,192), P(4791,159,217,200), P(4799,159,217,203), P(4807,159,217,211), P(4815,159,217,223), P(4824,159,217,227), P(4831,159,217,227), P(4841,159,217,227), P(4843,159,217,231), P(4851,159,217,231), P(4859,159,217,231), P(4867,159,218,235), P(4875,159,218,239), P(4883,159,218,239), P(4891,159,218,239), P(4899,159,218,239), P(4907,159,218,239), P(4911,159,219,239), P(4919,159,219,243), P(4927,159,219,243), P(4935,159,219,243), P(4943,159,219,243), P(4951,159,219,243), P(4959,159,220,243), 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P(5371,169,221,254), P(5379,169,221,254), P(5387,169,221,254), P(5391,170,221,250), P(5399,170,221,258), P(5408,171,220,250), P(5415,172,220,254), P(5424,173,220,254), P(5431,174,220,254), P(5441,174,220,258), P(5447,175,219,254), P(5451,177,219,254), P(5459,178,219,250), P(5467,178,219,258), P(5475,179,219,250), P(5483,180,219,258), P(5491,181,219,250), P(5499,182,219,254), P(5503,183,219,250), P(5511,184,219,250), P(5519,185,219,254), P(5527,186,219,250), P(5536,187,219,250), P(5555,189,219,250), P(5559,190,220,254), P(5567,192,220,254), P(5573,193,220,250), P(5579,194,220,254), P(5592,195,220,254), P(5595,197,220,250), P(5603,198,220,250), P(5611,199,220,250), P(5619,201,220,250), P(5627,202,219,250), P(5631,204,219,250), P(5642,205,219,247), P(5647,206,219,247), P(5658,208,219,250), P(5663,209,219,247), P(5673,209,219,247), P(5679,210,219,247), P(5683,211,219,250), P(5693,212,219,247), P(5699,212,219,250), P(5709,213,219,247), P(5715,214,219,247), P(5725,215,219,250), P(5731,216,219,243), P(5742,217,219,243), P(5743,218,219,243), P(5751,219,219,243), P(5759,220,220,243), P(5767,221,220,239), P(5775,221,220,239), P(5783,222,221,239), P(5793,223,221,239), P(5799,224,221,239), P(5809,225,221,239), P(5811,226,221,239), P(5819,227,222,239), P(5827,228,222,239), P(5835,229,222,239), P(5843,230,222,239), P(5851,231,222,239), P(5859,232,222,239), P(5863,233,222,239), P(5871,234,222,239), P(5879,235,222,239), P(5887,235,223,239), P(5895,236,223,239), P(5903,238,223,239), P(5915,239,224,239), P(5919,240,224,243), P(5925,241,224,243), P(5931,242,224,243), P(5942,244,224,243), P(5947,245,224,243), P(5957,247,224,243), P(5963,248,224,243), P(5971,249,224,243), P(5979,250,224,243), P(5987,251,225,243), P(5992,252,225,243), P(5999,253,225,243), P(6009,254,226,243), P(6015,255,226,247), P(6026,256,226,247), P(6031,257,226,250), P(6042,258,227,247), P(6047,259,227,250), P(6051,260,227,247), P(6059,261,228,250), P(6067,262,228,250), P(6075,263,228,247), P(6083,264,229,247), P(6092,265,229,247), P(6099,266,230,247), P(6103,267,230,254), P(6111,268,230,250), P(6119,269,230,250), P(6127,270,231,250), P(6135,271,231,250), P(6143,272,231,250), P(6151,273,231,254), P(6160,274,232,250), P(6167,275,232,250), P(6171,275,232,254), P(6179,276,232,254), P(6187,276,232,250), P(6195,277,232,254), P(6203,277,232,250), P(6211,277,232,250), P(6219,277,233,254), P(6223,278,233,254), P(6231,278,233,254), P(6241,278,233,250), P(6247,278,233,250), P(6257,279,233,250), P(6263,279,233,247), P(6276,279,233,247), P(6279,279,233,247), P(6285,280,233,247), P(6292,280,233,243), P(6299,280,233,239), P(6309,280,233,235), P(6315,280,233,227), P(6324,280,233,223), P(6331,280,233,211), P(6340,280,233,192), P(6343,280,233,176), P(6351,280,233,164), P(6359,280,233,160), P(6367,280,233,160), P(6376,280,233,160), P(6383,280,233,164), P(6393,280,233,160), P(6399,280,233,164), P(6403,280,233,160), P(6411,280,233,164), P(6419,280,233,164), P(6427,280,233,164), 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P(2998,357,233,482), P(3006,358,233,482), P(3015,360,234,478), P(3023,362,234,478), P(3032,364,234,470), P(3035,365,234,470), P(3042,367,235,470), P(3052,368,235,462), P(3059,369,235,458), P(3066,370,236,458), P(3074,371,236,450), P(3086,372,237,450), P(3090,372,237,447), P(3099,373,238,443), P(3103,373,238,443), P(3116,374,239,443), P(3120,374,239,439), P(3127,374,239,439), P(3136,374,240,443), P(3142,374,240,443), P(3150,374,241,435), P(3154,374,241,435), P(3166,374,242,431), P(3170,374,242,427), P(3182,374,242,423), P(3186,373,243,423), P(3200,373,243,423), P(3204,373,243,423), P(3220,372,244,423), P(3222,372,244,423), P(3233,371,244,423), P(3239,371,244,423), P(3249,370,244,427), P(3254,369,244,427), P(3266,368,244,435), P(3270,367,244,431), P(3274,367,245,435), P(3283,366,245,443), P(3290,365,245,447), P(3298,364,245,450), P(3306,364,245,454), P(3315,363,246,454), P(3322,362,246,454), P(3331,361,246,454), P(3337,360,246,454), P(3342,359,246,454), P(3350,357,247,454), P(3359,356,247,454), P(3367,355,247,454), P(3375,354,247,462), P(3383,353,247,462), P(3391,352,248,466), P(3395,352,248,470), P(3404,351,248,474), P(3412,351,248,478), P(3420,350,249,474), P(3428,349,249,474), P(3437,349,250,478), P(3442,348,250,478), P(3450,348,250,474), P(3454,347,251,474), P(3462,347,251,478), P(3471,346,251,474), P(3479,346,251,474), P(3487,346,251,478), P(3496,346,252,478), P(3504,345,252,474), P(3510,345,252,474), P(3514,345,252,474), P(3522,344,252,478), P(3530,344,252,474), P(3538,344,253,474), P(3546,344,253,474), P(3554,343,253,474), P(3563,343,253,478), P(3571,343,253,478), P(3574,343,253,478), P(3582,343,253,482), P(3590,343,254,478), P(3598,342,254,482), P(3606,342,254,478), P(3614,342,254,478), P(3622,342,254,482), P(3630,342,254,478), P(3634,342,254,478), P(3642,341,255,478), P(3650,341,255,478), P(3659,341,255,482), P(3667,341,255,482), P(3674,340,255,482), P(3682,340,256,482), P(3690,340,256,486), P(3695,339,256,486), P(3704,339,256,486), P(3711,338,257,490), P(3721,338,257,486), P(3727,337,257,486), P(3734,336,258,486), P(3743,336,258,486), P(3751,336,258,486), P(3755,335,258,486), P(3763,335,258,482), P(3772,335,259,486), P(3779,335,259,486), P(3788,334,259,490), P(3795,334,259,486), P(3803,334,260,486), P(3811,334,260,482), P(3814,334,260,482), P(3822,333,261,486), P(3830,333,261,482), P(3838,333,261,482), P(3846,333,261,490), P(3856,333,262,482), P(3863,333,262,486), P(3872,333,262,482), P(3874,333,262,486), P(3882,333,263,486), P(3890,333,263,482), P(3898,332,263,486), P(3906,332,263,482), P(3914,332,263,486), P(3923,331,264,486), P(3930,331,264,482), P(3934,330,264,482), P(3943,330,264,486), P(3950,330,264,486), P(3958,330,265,486), P(3966,330,265,486), P(3974,329,265,486), P(3982,329,265,486), P(3990,329,265,486), P(3995,329,265,486), P(4005,329,265,486), P(4011,329,265,486), P(4018,329,266,486), P(4027,329,266,486), P(4034,329,266,486), P(4042,329,266,486), P(4050,328,266,490), P(4055,328,266,486), P(4062,328,266,486), P(4073,328,266,490), P(4080,328,266,490), P(4089,327,267,486), P(4095,327,267,486), P(4105,327,267,490), P(4111,327,267,490), P(4114,327,267,486), P(4122,327,267,490), P(4130,327,267,490), P(4139,327,268,486), P(4146,327,268,486), P(4156,327,268,486), P(4163,327,268,486), P(4173,327,268,490), P(4174,327,268,486), P(4182,327,268,486), P(4190,326,268,486), P(4198,326,268,490), P(4207,326,269,486), P(4214,326,269,490), P(4223,326,269,486), P(4231,326,269,486), P(4234,326,270,486), P(4242,326,270,494), P(4250,325,270,494), P(4258,325,271,494), P(4266,325,271,494), P(4274,325,271,494), P(4282,325,272,494), P(4290,324,272,494), P(4295,324,272,494), P(4303,324,272,494), P(4311,324,273,494), P(4318,324,273,494), P(4326,324,273,494), P(4334,324,273,494), P(4342,323,273,494), P(4350,323,273,494), P(4355,323,274,494), P(4362,323,274,494), P(4373,323,274,494), P(4379,323,274,494), P(4389,323,275,494), P(4395,323,275,494), P(4403,323,275,494), P(4411,323,276,494), P(4414,322,276,494), P(4423,322,277,494), P(4430,322,278,494), P(4440,321,278,494), P(4446,321,278,494), P(4456,321,279,494), P(4463,321,279,494), P(4472,321,279,494), P(4474,321,279,494), P(4482,321,280,486), P(4491,321,280,486), P(4498,321,280,486), P(4507,321,280,486), P(4514,321,280,486), P(4541,321,280,486), P(4542,321,281,486), P(4557,321,281,486), P(4559,321,281,486), P(4569,321,281,486), P(4574,321,281,486), P(4586,321,281,486), P(4590,321,281,486), P(4594,321,281,486), P(4603,321,281,486), P(4620,321,281,486), P(4626,321,281,490), P(4636,321,281,486), P(4642,321,281,486), P(4653,321,281,486), P(4657,321,281,490), P(4670,321,281,490), P(4671,321,282,490), P(4691,321,282,486), P(4703,321,282,490), P(4719,321,283,494), P(4723,321,283,494), P(4736,321,283,494), P(4739,321,283,494), P(4753,321,283,494), P(4757,321,283,494), P(4770,321,283,494), P(4771,321,284,494), P(4775,321,284,494), P(4786,321,284,494), P(4790,321,284,494), P(4803,321,285,494), P(4807,321,285,494), P(4823,321,286,494), P(4836,321,286,494), P(4842,320,286,494), P(4853,320,287,494), P(4858,320,287,494), P(4870,320,287,494), P(4875,320,288,494), P(4887,320,288,494), P(4890,320,288,494), P(4904,319,289,494), P(4920,319,290,494), P(4926,319,290,494), P(4937,319,290,494), P(4942,319,290,494), P(4958,318,291,494), P(4970,318,291,494), P(4971,318,292,494), P(4987,318,292,494), P(5003,318,293,494), P(5010,317,294,494), P(5020,317,294,494), P(5023,317,295,494), P(5037,317,295,494), P(5041,316,296,494), P(5054,316,296,494), P(5055,316,296,494), P(5071,315,297,494), P(5072,315,297,494), P(5075,315,298,494), P(5092,314,299,494), P(5104,314,299,494), P(5107,314,300,494), P(5120,313,300,490), P(5123,313,301,490), P(5137,312,302,486), P(5142,312,303,486), P(5154,311,304,486), P(5159,311,304,490), P(5171,310,305,486), P(5175,310,306,486), P(5187,309,307,494), P(5191,309,307,494), P(5204,308,309,494), P(5226,307,310,494), P(5227,307,311,494), P(5238,306,311,494), P(5243,306,312,494), P(5255,305,313,494), P(5256,304,313,494), P(5272,303,315,494), P(5288,301,317,494), P(5304,299,318,494), P(5310,299,319,494), P(5321,298,320,494), P(5325,297,320,494), P(5338,296,321,494), P(5339,295,322,490), P(5358,293,323,486), P(5371,291,325,486), P(5376,289,326,490), P(5388,288,327,494), P(5392,287,328,494), P(5404,285,329,494), P(5407,284,330,494), P(5421,283,330,494), P(5423,282,331,494), P(5430,280,332,494), P(5434,279,332,494), P(5442,278,333,494), P(5455,277,333,494), P(5459,275,334,494), P(5471,274,335,494), P(5475,272,335,498), P(5489,270,336,498), P(5493,269,337,498), P(5509,265,337,498), P(5522,262,338,498), P(5526,260,339,494), P(5539,258,339,494), P(5543,256,339,482), P(5555,251,339,482), P(5572,246,340,478), P(5588,242,340,486), P(5605,238,340,486), P(5623,235,340,494), P(5624,233,340,494), P(5642,229,340,498), P(5655,225,339,498), P(5672,221,338,501), P(5677,219,337,501), P(5689,217,337,501), P(5692,216,336,501), P(5706,214,335,501), P(5709,212,334,501), P(5722,211,333,501), P(5723,209,332,501), P(5739,205,331,501), P(5742,204,330,501), P(5755,202,330,501), P(5760,200,329,501), P(5776,197,326,505), P(5789,195,325,505), P(5793,194,324,505), P(5806,191,321,505), P(5810,190,320,505), P(5823,188,319,505), P(5827,187,317,505), P(5842,186,316,505), P(5843,184,315,505), P(5856,182,312,505), P(5873,180,309,505), P(5889,178,306,505), P(5911,175,302,509), P(5914,175,301,509), P(5922,174,300,509), P(5930,174,299,513), P(5939,174,299,513), P(5947,173,298,513), P(5955,173,298,513), P(5963,173,298,513), P(5970,173,297,513), P(5976,172,296,513), P(5982,172,296,513), P(5993,171,295,513), P(5998,171,294,517), P(6006,170,293,513), P(6014,170,292,513), P(6023,170,291,513), P(6030,170,291,513), P(6034,169,290,517), P(6043,169,290,513), P(6050,169,289,513), P(6060,169,289,513), P(6066,169,288,513), P(6077,169,288,513), P(6082,169,287,513), P(6093,169,287,513), P(6095,169,286,517), P(6102,169,285,513), P(6110,169,284,517), P(6118,168,283,513), P(6127,168,282,517), P(6134,168,281,517), P(6143,168,281,509), P(6150,168,280,509), P(6154,168,279,509), P(6163,168,279,509), P(6170,168,278,509), P(6179,168,278,509), P(6186,168,277,505), P(6195,168,276,505), P(6202,168,275,505), P(6212,169,274,505), P(6214,169,274,505), P(6223,169,273,505), P(6230,169,272,505), P(6238,169,272,505), P(6246,169,271,505), P(6255,169,270,505), P(6262,169,270,505), P(6270,170,269,501), P(6276,170,269,501), P(6282,170,268,501), P(6290,170,267,501), P(6298,170,267,501), P(6307,171,266,501), P(6314,171,266,501), P(6322,171,265,501), P(6330,171,264,501), P(6334,171,264,501), P(6349,171,264,501), P(6350,171,263,501), P(6362,171,263,501), P(6366,171,262,501), P(6377,172,262,501), P(6382,172,261,501), P(6390,172,261,501), P(6395,172,260,501), P(6402,172,259,501), P(6410,173,258,501), P(6418,173,257,498), P(6427,173,256,498), P(6434,173,256,498), P(6444,173,255,498), P(6450,173,254,494), P(6454,173,253,494), P(6465,174,253,494), P(6470,174,252,494), P(6479,174,251,494), P(6486,174,251,486), P(6494,174,250,490), P(6502,174,250,486), P(6511,174,249,486), P(6514,174,249,486), P(6523,175,248,490), P(6530,175,248,490), P(6538,175,247,482), P(6546,175,247,482), P(6554,175,246,478), P(6563,175,246,482), P(6570,175,246,478), P(6574,175,245,482), P(6582,175,245,482), P(6591,175,244,478), P(6598,175,244,478), P(6606,176,244,474), P(6614,176,243,478), P(6622,176,242,474), P(6630,176,242,474), P(6634,176,241,478), P(6643,177,241,474), P(6650,177,240,474), P(6661,177,240,474), P(6666,177,240,474), P(6675,177,239,474), P(6682,177,239,474), P(6691,177,238,470), P(6696,178,238,470), P(6702,178,237,474), P(6713,178,236,470), P(6718,179,236,470), P(6728,179,235,474), P(6734,179,235,470), P(6744,180,234,474), P(6750,180,233,474), P(6754,180,233,470), P(6763,180,232,474), P(6770,181,231,470), P(6780,181,231,474), P(6786,181,230,470), P(6795,181,230,470), P(6802,181,229,474), P(6813,181,229,474), P(6814,181,228,470), P(6822,181,228,470), P(6830,181,228,470), P(6838,181,227,470), P(6847,181,227,474), P(6854,181,227,474), P(6863,181,226,470), P(6870,182,226,470), P(6874,182,226,470), P(6882,182,225,470), P(6890,182,225,470), P(6898,182,225,466), P(6906,182,224,466), P(6914,182,224,470), P(6922,182,224,466), P(6930,182,224,462), P(6934,182,223,462), P(6947,182,223,462), P(6950,182,223,462), P(6958,183,223,458), P(6966,183,222,458), P(6974,183,222,458), P(6982,183,222,454), P(6990,183,222,454), P(6996,183,221,454), P(7002,184,221,450), P(7012,184,221,450), P(7018,184,220,450), P(7029,185,220,450), P(7034,185,220,450), P(7043,185,219,450), P(7050,185,219,450), P(7054,186,219,443), P(7063,186,218,443), P(7070,186,218,443), P(7080,186,218,443), P(7086,186,217,443), P(7097,187,217,443), P(7102,187,217,443), P(7114,187,216,443), P(7115,187,216,443), P(7122,187,216,443), P(7130,188,216,443), P(7139,188,215,439), P(7147,188,215,439), P(7154,188,214,439), P(7164,189,214,439), P(7170,189,214,439), P(7174,189,213,443), P(7182,189,213,447), P(7190,189,212,443), P(7198,189,212,439), P(7206,189,212,439), P(7214,189,212,439), P(7222,189,211,439), P(7231,189,211,439), P(7234,189,211,439), P(7243,189,211,435), P(7250,189,211,431), P(7258,189,211,427), P(7266,190,211,423), P(7274,190,211,419), P(7282,190,210,415), P(7290,190,210,415), P(7297,190,210,415), P(7302,190,210,415), P(7314,190,209,411), P(7318,190,209,411), P(7330,190,209,411), P(7334,190,209,411), P(7343,190,208,411), P(7350,191,208,411), P(7354,191,208,411), P(7364,191,208,411), P(7370,191,208,411), P(7380,191,208,411), P(7386,191,207,411), P(7397,191,207,411), P(7402,191,207,411), P(7410,191,207,411), P(7415,191,207,411), P(7422,191,207,411), P(7432,191,206,403), P(7438,191,206,403), P(7448,191,206,403), P(7454,191,205,403), P(7464,191,205,403), P(7470,191,204,407), P(7474,191,204,407), P(7482,191,203,403), P(7490,191,203,403), P(7499,191,202,403), P(7506,191,201,403), P(7515,191,201,407), P(7522,191,200,403), P(7532,191,200,403), P(7534,191,199,407), P(7542,191,199,403), P(7550,191,198,407), P(7558,191,197,403), P(7566,191,197,403), P(7574,191,196,400), P(7582,191,195,400), P(7590,191,195,400), P(7595,191,194,403), P(7602,191,193,403), P(7611,191,192,403), P(7618,191,191,403), P(7627,191,190,403), P(7634,190,190,403), P(7642,190,189,403), P(7650,190,189,403), P(7654,190,188,403), P(7665,190,188,403), P(7670,190,187,407), P(7682,190,186,403), P(7686,190,186,403), P(7696,189,185,403), P(7702,189,184,403), P(7710,189,184,407), P(7715,189,183,403), P(7722,188,182,403), P(7733,188,182,407), P(7738,188,181,403), P(7748,187,180,407), P(7754,187,180,403), P(7766,187,179,403), P(7770,187,179,407), P(7774,187,179,403), P(7782,187,178,403), P(7790,186,178,407), P(7798,186,177,403), P(7806,186,177,403), P(7815,186,176,403), P(7822,186,176,403), P(7833,186,175,403), P(7834,185,175,407), P(7842,185,174,403), P(7850,185,174,403), P(7858,185,174,407), P(7866,185,174,407), P(7874,185,174,400), P(7882,184,174,400), P(7890,184,174,400), P(7895,184,174,400), P(7902,184,174,400), P(7910,184,174,403), P(7918,184,174,400), P(7926,183,173,403), P(7934,183,173,400), P(7942,183,173,400), P(7951,183,173,400), P(7954,183,173,403), P(7963,183,173,400), P(7970,182,173,396), P(7979,182,173,388), P(7986,182,173,384), P(7994,182,173,380), P(8002,181,173,372), P(8011,181,173,368), P(8016,181,173,364), P(8022,180,173,364), P(8032,180,173,364), P(8038,179,173,368), P(8049,179,172,364), P(8054,178,172,364), P(8063,178,172,364), P(8070,177,172,364), P(8074,177,172,368), P(8083,177,172,364), P(8090,177,172,368), P(8100,176,172,368), P(8106,176,172,364), P(8116,176,172,364), P(8122,176,172,364), P(8132,175,172,364), P(8134,175,172,360), P(8142,175,172,360), P(8150,175,172,356), P(8159,174,172,356), P(8167,174,172,356), P(8174,174,172,356), P(8182,174,172,356), P(8190,174,172,360), P(8194,174,172,364), P(8202,174,172,364), P(8210,173,172,360), P(8218,173,172,364), P(8226,173,172,360), P(8234,173,172,360), P(8242,173,172,360), P(8250,173,172,364), P(8254,173,172,360), P(8263,172,172,364), P(8270,172,172,364), P(8280,172,172,360), P(8286,172,172,360), P(8296,172,172,360), P(8302,172,172,360), P(8310,172,172,364), P(8316,172,172,368), P(8322,171,172,364), P(8332,171,172,360), P(8338,171,172,364), P(8350,171,172,364), P(8354,171,172,364), P(8363,171,172,368), P(8370,171,173,368), P(8374,171,173,364), P(8383,170,173,368), P(8390,170,173,364), P(8398,170,173,364), P(8406,170,173,368), P(8417,170,173,364), P(8422,170,173,368), P(8430,170,173,368), P(8434,170,173,368), P(8442,170,173,368), P(8450,170,173,372), P(8458,170,173,372), P(8467,170,173,372), P(8474,169,173,372), P(8484,169,173,372), P(8490,169,173,376), P(8494,169,173,372), P(8502,169,173,376), P(8510,169,173,372), P(8518,169,173,380), P(8535,169,173,380), P(8542,169,173,380), P(8550,169,173,380), P(8554,168,173,384), P(8563,168,173,384), P(8570,168,173,384), P(8580,168,173,384), P(8586,168,173,384), P(8596,168,173,384), P(8602,168,173,384), P(8610,168,173,384), P(8616,168,173,384), P(8622,168,173,384), P(8631,168,173,388), P(8674,167,173,388), P(8676,167,173,396), P(8683,166,173,396), P(8692,166,173,400), P(8699,166,172,400), P(8706,165,172,396), P(8714,165,172,396), P(8722,165,172,396), P(8731,164,171,396), P(8734,164,171,400), P(8742,164,170,400), P(8750,163,170,400), P(8758,163,169,400), P(8766,162,169,400), P(8791,162,168,403), P(8794,161,168,400), P(8802,161,168,400), P(8810,161,168,400), P(8819,161,167,403), P(8826,160,167,400), P(8834,160,167,400), P(8842,159,167,403), P(8850,159,166,403), P(8854,158,166,403), P(8863,157,166,403), P(8870,157,166,403), P(8879,156,166,407), P(8886,155,165,403), P(8896,154,165,403), P(8902,153,165,403), P(8910,152,165,403), P(8914,152,165,411), P(8922,151,165,411), P(8930,151,164,411), P(8938,150,164,411), P(8947,150,164,411), P(8954,150,164,411), P(8963,149,164,411), P(8970,149,164,415), P(8974,149,164,415), P(8984,148,164,415), P(8990,148,164,415), P(9001,147,164,415), P(9006,147,163,415), P(9015,147,163,415), P(9022,146,163,419), P(9031,146,163,419), P(9034,145,163,415), P(9042,145,163,415), P(9052,144,163,415), P(9058,144,163,415), P(9068,143,164,415), P(9074,143,164,415), P(9083,142,164,415), P(9090,142,164,415), P(9094,141,164,419), P(9102,141,165,419), P(9110,140,165,419), P(9119,140,165,419), P(9126,139,165,419), P(9134,139,166,419), P(9142,138,166,419), P(9151,138,166,419), P(9154,137,166,419), P(9164,137,167,419), P(9170,137,167,419), P(9178,136,167,419), P(9186,136,167,419), P(9197,136,167,419), P(9202,135,168,419), P(9210,135,168,419), P(9215,134,168,419), P(9222,134,168,419), P(9231,134,169,419), P(9238,134,169,423), P(9247,134,169,423), P(9254,133,169,423), P(9264,133,169,423), P(9270,133,169,423), P(9274,133,169,423), P(9285,133,169,423), P(9290,133,169,423), P(9298,133,170,423), P(9306,133,170,423), P(9318,133,170,423), P(9322,133,170,423), P(9331,132,170,423), P(9335,132,170,423), P(9342,132,170,423), P(9351,132,170,423), P(9358,131,171,423), P(9367,131,171,423), P(9374,131,171,423), P(9382,131,171,423), P(9390,131,171,423), P(9394,131,171,423), P(9402,131,171,423), P(9410,131,171,423), P(9418,131,171,423), P(9426,131,171,423), P(9436,131,171,423), P(9442,131,171,423), P(9452,131,171,423), P(9454,131,171,423), P(9465,131,171,423), P(9470,131,171,423), P(9481,131,171,423), P(9486,131,171,423), P(9498,131,171,419), P(9503,131,171,419), P(9510,131,171,419), P(9515,131,171,419), P(9522,131,171,419), P(9531,131,171,419), P(9538,131,171,419), P(9548,131,171,419), P(9554,131,171,419), P(9565,131,171,419), P(9570,131,171,415), P(9574,131,171,415), P(9586,131,171,411), P(9590,131,171,400), P(9599,131,171,368), P(9606,132,171,301), P(9615,133,171,137), ], [P(10139,149,166,3), P(10251,148,167,274), P(10258,147,167,282), P(10267,147,168,294), P(10274,147,168,305), P(10283,147,169,317), P(10293,146,170,325), P(10294,146,171,329), P(10304,146,172,337), P(10310,145,173,341), P(10321,145,174,349), P(10326,144,175,352), P(10337,144,176,356), P(10342,144,177,360), P(10352,143,179,364), P(10354,143,180,364), P(10362,142,181,372), P(10372,142,183,368), P(10378,142,184,372), P(10388,141,185,372), P(10394,141,186,376), P(10405,141,188,372), P(10410,141,188,372), P(10414,141,189,380), P(10422,141,190,380), P(10430,142,190,384), P(10438,142,191,384), P(10446,142,191,384), P(10454,143,191,384), P(10462,143,191,384), P(10472,143,192,384), P(10474,143,192,388), P(10482,143,192,388), P(10490,144,192,388), P(10498,144,191,392), P(10506,145,191,396), P(10514,146,190,392), P(10522,147,189,392), P(10530,148,188,392), P(10535,149,187,392), P(10542,150,187,392), P(10550,151,186,388), P(10559,152,185,396), P(10566,153,185,388), P(10574,153,184,388), P(10582,154,184,388), P(10590,154,184,388), P(10594,155,184,388), P(10605,155,184,388), P(10610,156,184,388), P(10622,156,184,388), P(10626,157,184,388), P(10636,157,185,388), P(10642,157,185,388), P(10650,158,185,388), P(10654,158,186,388), P(10662,158,186,388), P(10672,158,187,388), P(10678,158,187,392), P(10689,158,187,392), P(10694,158,188,396), P(10705,158,189,392), P(10710,158,190,392), P(10714,157,190,396), P(10722,157,191,396), P(10730,157,192,396), P(10739,157,192,396), P(10746,157,192,392), P(10756,157,192,392), P(10762,157,192,392), P(10771,157,193,396), P(10774,158,193,392), P(10782,158,193,392), P(10790,159,192,392), P(10798,160,192,392), P(10807,161,191,388), P(10814,162,190,388), P(10822,163,189,388), P(10830,164,187,384), P(10836,165,186,384), P(10842,166,185,384), P(10853,167,184,384), P(10858,168,183,384), P(10866,169,182,384), P(10874,171,182,388), P(10882,171,181,388), P(10890,172,180,388), P(10894,172,180,384), P(10904,173,180,388), P(10910,173,180,388), P(10919,173,180,388), P(10926,173,181,388), P(10936,173,182,396), P(10943,173,182,396), P(10954,173,184,396), P(10963,173,185,392), P(10973,173,186,392), P(10978,173,187,392), P(10990,172,189,396), P(10994,172,190,392), P(11003,172,192,396), P(11006,172,194,396), P(11014,172,196,396), P(11023,172,198,396), P(11030,171,200,396), P(11040,171,202,400), P(11046,171,204,400), P(11056,171,206,396), P(11062,171,207,396), P(11072,171,209,400), P(11074,171,209,396), P(11082,171,210,396), P(11090,171,211,396), P(11098,171,211,400), P(11106,171,211,400), P(11114,171,211,400), P(11123,171,211,403), P(11130,171,211,403), P(11136,171,212,403), P(11142,171,212,407), P(11150,171,212,403), P(11158,171,212,403), P(11166,171,212,403), P(11174,171,212,407), P(11182,171,212,403), P(11190,171,212,403), P(11194,171,212,403), P(11202,171,212,403), P(11210,171,212,403), P(11220,171,212,403), P(11226,171,211,403), P(11236,171,211,403), P(11242,172,211,403), P(11250,172,210,403), P(11256,173,210,403), P(11262,173,209,411), P(11271,174,208,411), P(11278,174,208,411), P(11289,175,207,411), P(11294,175,206,411), P(11303,175,205,415), P(11306,176,204,415), P(11314,176,202,415), P(11323,177,201,415), P(11330,177,199,415), P(11339,178,197,415), P(11346,179,196,415), P(11357,179,194,415), P(11362,180,192,415), P(11366,180,190,415), P(11374,181,189,415), P(11382,181,187,419), P(11391,181,186,423), P(11398,181,185,423), P(11407,181,184,431), P(11414,181,183,431), P(11424,181,182,431), P(11430,180,181,431), P(11440,180,180,431), P(11442,180,179,431), P(11450,179,178,435), P(11459,179,177,439), P(11466,179,176,435), P(11474,179,175,439), P(11482,179,175,435), P(11490,179,175,431), P(11494,179,175,431), P(11504,179,174,431), P(11510,179,174,431), P(11519,179,174,431), P(11526,179,173,431), P(11537,179,173,423), P(11542,179,173,396), P(11553,179,173,321), P(11557,179,172,133), ], [P(12135,150,154,11), P(12263,150,153,388), P(12270,150,152,396), P(12274,150,152,403), P(12282,151,151,415), P(12292,151,150,427), P(12298,151,149,431), P(12308,150,148,439), P(12314,150,147,439), P(12325,150,145,439), P(12331,150,144,443), P(12334,149,142,439), P(12342,149,140,443), P(12350,148,139,439), P(12358,148,136,439), P(12366,147,134,439), P(12375,146,132,439), P(12382,145,130,443), P(12391,144,127,443), P(12394,144,125,439), P(12402,142,122,439), P(12410,142,120,439), P(12418,141,118,439), P(12426,140,116,435), P(12434,139,115,435), P(12443,138,114,435), P(12450,137,113,439), P(12454,137,112,435), P(12462,137,112,431), P(12470,136,111,431), P(12478,136,111,431), P(12486,136,110,431), P(12494,136,110,427), P(12502,136,110,427), P(12506,136,109,427), P(12514,136,108,427), P(12522,136,108,431), P(12531,136,107,423), P(12538,137,106,423), P(12547,137,106,423), P(12554,138,105,419), P(12562,139,104,419), P(12570,140,104,419), P(12576,141,103,419), P(12582,141,103,419), P(12590,142,102,415), P(12598,142,102,407), P(12607,142,102,407), P(12615,143,103,403), P(12623,143,103,411), P(12627,144,104,411), P(12634,144,105,411), P(12644,145,106,411), P(12650,146,108,411), P(12660,147,109,411), P(12666,148,110,415), P(12676,148,112,415), P(12682,149,113,415), P(12690,150,115,415), P(12694,151,116,415), P(12702,152,117,415), P(12710,152,119,415), P(12718,153,119,415), P(12726,153,120,415), P(12734,154,120,419), P(12743,154,120,423), P(12750,154,120,431), P(12754,155,120,431), P(12762,155,119,435), P(12770,155,118,439), P(12778,155,117,443), P(12786,155,116,443), P(12794,155,115,439), P(12802,155,114,435), P(12812,155,113,435), P(12814,155,111,435), P(12822,155,110,435), P(12831,155,108,431), P(12838,155,107,431), P(12847,155,105,431), P(12854,155,104,427), P(12862,156,103,427), P(12870,156,101,427), P(12874,157,100,423), P(12882,158,98,423), P(12890,158,97,423), P(12898,159,97,423), P(12906,159,96,419), P(12915,159,96,419), P(12922,159,96,415), P(12932,160,96,415), P(12934,160,96,415), P(12945,161,97,415), P(12950,161,97,415), P(12960,161,98,415), P(12966,162,98,415), P(12974,163,99,415), P(12982,163,99,415), P(12990,164,99,419), P(12995,164,99,419), P(13002,165,100,419), P(13011,166,100,419), P(13018,166,100,423), P(13028,167,99,423), P(13034,168,99,423), P(13044,168,98,423), P(13050,169,98,427), P(13054,170,96,431), P(13062,171,95,423), P(13070,172,94,423), P(13078,173,92,423), P(13086,174,91,423), P(13095,175,89,423), P(13102,176,87,423), P(13106,177,86,423), P(13114,178,84,419), P(13122,179,84,419), P(13131,179,83,415), P(13138,179,83,415), P(13147,179,83,415), P(13154,180,84,415), P(13162,180,84,415), P(13170,180,85,415), P(13174,180,86,415), P(13182,181,87,415), P(13190,182,88,415), P(13198,182,88,415), P(13206,183,89,415), P(13215,184,89,415), P(13222,184,90,415), P(13228,185,91,411), P(13234,186,91,411), P(13244,187,91,411), P(13250,189,92,411), P(13258,190,92,411), P(13266,192,92,411), P(13274,193,91,403), P(13282,195,90,407), P(13290,197,89,400), P(13295,199,88,396), P(13302,201,86,388), P(13312,204,85,384), P(13318,205,83,384), P(13328,207,82,384), P(13334,209,81,384), P(13342,211,80,384), P(13350,212,79,384), P(13354,213,78,384), P(13362,214,78,380), P(13370,215,78,380), P(13378,215,78,380), P(13386,215,79,384), P(13395,215,80,384), P(13402,215,82,388), P(13412,215,83,388), P(13414,215,85,388), P(13422,215,86,388), P(13430,215,87,388), P(13438,215,88,388), P(13447,216,89,384), P(13454,217,90,384), P(13465,218,90,384), P(13466,219,91,384), P(13474,221,91,384), P(13482,222,92,380), P(13490,224,92,380), P(13498,225,93,380), P(13506,226,94,372), P(13514,227,95,372), P(13522,227,96,372), P(13528,227,97,372), P(13534,227,99,376), P(13542,227,101,372), P(13550,227,103,372), P(13558,226,105,380), P(13566,226,106,380), P(13574,225,108,380), P(13582,224,110,380), P(13586,223,112,384), P(13598,222,114,384), P(13602,221,115,388), P(13612,219,117,396), P(13618,218,119,392), P(13628,217,121,396), P(13634,215,123,400), P(13642,214,124,396), P(13647,213,125,403), P(13654,211,127,403), P(13663,210,128,400), P(13670,208,129,403), P(13680,206,130,403), P(13686,205,131,407), P(13698,203,132,403), P(13702,202,133,411), P(13706,201,135,411), P(13714,200,136,411), P(13722,199,137,411), P(13731,199,138,411), P(13738,199,139,411), P(13748,198,140,411), P(13754,198,141,411), P(13765,198,141,415), P(13766,198,142,415), P(13774,197,142,415), P(13782,197,143,415), P(13790,196,143,419), P(13798,196,144,419), P(13806,195,144,419), P(13814,195,145,419), P(13822,195,145,419), P(13826,194,146,415), P(13834,194,146,415), P(13843,194,147,415), P(13850,194,147,411), P(13858,194,148,411), P(13866,194,148,403), P(13874,194,148,403), P(13882,194,148,392), P(13886,194,148,368), P(13898,194,148,298), P(13902,195,148,156), ], [P(15051,178,159,15), P(15203,179,158,282), P(15206,179,158,282), P(15215,179,158,294), P(15222,179,158,309), P(15239,179,158,313), P(15240,178,159,321), P(15246,178,159,325), P(15255,177,159,329), P(15263,177,159,337), P(15266,176,159,337), P(15274,175,159,352), P(15283,175,159,360), P(15290,174,159,368), P(15299,174,159,380), P(15306,174,159,384), P(15316,174,159,384), P(15322,174,158,380), P(15326,174,158,380), P(15334,174,158,372), P(15342,174,158,376), P(15350,175,157,376), P(15358,175,157,372), P(15367,176,156,368), P(15374,177,156,368), P(15383,177,156,364), P(15387,177,156,364), P(15394,178,156,368), P(15402,178,156,364), P(15410,178,157,364), P(15418,178,157,364), P(15426,178,157,368), P(15434,178,158,372), P(15442,177,158,372), P(15446,177,158,380), P(15455,177,159,384), P(15463,177,159,388), P(15471,176,159,392), P(15478,176,159,396), P(15486,176,159,396), P(15494,176,159,396), P(15502,175,158,400), P(15506,175,158,400), P(15515,175,157,396), P(15522,175,157,396), P(15530,175,156,396), P(15538,175,156,396), P(15546,176,156,388), P(15554,176,155,384), P(15562,176,155,380), P(15567,176,155,380), P(15574,177,155,372), P(15583,177,155,368), P(15590,177,155,368), P(15600,177,155,364), P(15606,177,155,364), P(15614,177,155,341), P(15622,177,156,266), P(15625,177,156,39), ], [P(17519,239,337,3), P(17526,239,338,15), P(17534,239,338,31), P(17542,239,339,47), P(17546,239,339,58), P(17556,239,339,82), P(17561,239,339,113), P(17574,239,339,137), P(17578,239,339,168), P(17588,239,339,200), P(17594,239,339,243), P(17606,239,339,282), P(17607,239,339,309), P(17614,239,339,321), P(17624,239,339,325), P(17630,239,339,329), P(17640,239,339,337), P(17646,239,339,341), P(17657,239,339,341), P(17662,239,339,349), P(17666,239,339,352), P(17674,239,339,360), P(17681,239,339,368), P(17690,239,339,376), P(17697,239,339,380), P(17706,239,339,384), P(17713,239,339,384), P(17724,239,339,388), P(17726,239,339,392), P(17734,239,339,392), P(17742,238,339,392), P(17750,238,339,396), P(17758,238,339,400), P(17766,238,340,400), P(17774,238,340,403), P(17782,238,340,403), P(17786,238,340,411), P(17794,238,340,415), P(17802,238,340,419), P(17810,238,340,423), P(17818,238,340,423), P(17826,238,340,431), P(17834,238,340,431), P(17842,238,340,431), P(17849,238,340,431), P(17855,238,340,427), P(17862,238,340,427), P(17878,238,340,427), P(17880,238,340,431), P(17887,238,340,427), P(17893,238,340,427), P(17902,238,340,427), P(17906,238,340,427), P(17914,238,340,427), P(17923,238,341,435), P(17930,238,341,431), P(17939,237,341,435), P(17946,237,341,435), P(17956,237,341,435), P(17962,237,341,435), P(17966,237,341,435), P(17974,237,342,435), P(17982,237,342,435), P(17990,237,342,435), P(17998,237,342,439), P(18007,237,342,435), P(18014,237,342,439), P(18024,237,342,439), P(18026,237,342,443), P(18034,237,342,447), P(18042,237,343,450), P(18049,237,343,450), P(18058,237,343,454), P(18066,237,343,458), P(18074,237,343,458), P(18082,237,343,458), P(18087,237,343,462), P(18094,237,344,462), P(18102,237,344,466), P(18110,237,344,466), P(18118,237,344,470), P(18126,237,344,470), P(18134,237,345,470), P(18142,237,345,474), P(18145,237,346,478), P(18154,237,347,482), P(18162,236,348,482), P(18171,236,349,482), P(18177,236,350,482), P(18186,236,351,482), P(18194,236,353,486), P(18201,236,355,486), P(18206,236,357,486), P(18214,236,359,486), P(18223,236,361,490), P(18230,235,364,486), P(18240,235,366,486), P(18246,235,369,490), P(18270,234,376,486), P(18274,234,378,494), P(18282,234,379,494), P(18292,233,380,494), P(18298,233,380,494), P(18308,233,381,486), P(18314,233,381,490), P(18324,233,381,486), P(18326,233,381,486), P(18334,233,381,490), P(18342,233,381,486), P(18350,233,382,486), P(18358,233,382,494), P(18366,233,382,490), P(18375,233,382,490), P(18382,233,382,490), P(18386,233,382,486), P(18394,234,383,486), P(18402,234,383,486), P(18410,234,383,494), P(18418,234,384,494), P(18426,234,384,494), P(18434,234,385,494), P(18442,234,385,494), P(18445,234,385,498), P(18455,234,386,498), P(18462,234,386,498), P(18471,234,386,498), P(18477,234,386,498), P(18485,234,386,498), P(18493,234,386,498), P(18502,234,386,501), P(18508,234,386,501), P(18514,234,386,501), P(18524,234,386,501), P(18529,234,386,501), P(18538,234,386,501), P(18545,233,386,501), P(18555,233,386,501), P(18561,233,386,501), P(18565,233,387,501), P(18574,233,387,501), P(18582,232,387,501), P(18592,232,387,501), P(18598,231,387,501), P(18607,230,387,501), P(18613,230,387,501), P(18622,229,388,501), P(18626,228,389,501), P(18634,227,389,505), P(18642,226,390,505), P(18650,225,391,505), P(18659,223,392,509), P(18666,222,393,509), P(18676,221,394,509), P(18682,220,395,509), P(18686,219,396,509), P(18694,218,396,513), P(18702,216,397,513), P(18710,215,398,513), P(18718,215,398,517), P(18726,214,398,517), P(18734,214,398,509), P(18742,214,398,505), P(18746,214,398,501), P(18755,214,398,498), P(18762,214,398,494), P(18772,214,398,486), P(18778,214,398,482), P(18786,214,398,482), P(18794,214,398,478), P(18802,214,398,462), P(18805,214,398,431), P(18813,215,398,364), P(18825,215,398,215), ], [P(19115,232,381,35), P(19155,232,383,223), P(19162,232,383,270), P(19166,232,384,313), P(19176,233,385,333), P(19182,233,387,341), P(19190,234,388,352), P(19198,234,389,352), P(19206,235,391,356), P(19213,236,392,356), P(19222,237,393,356), P(19226,237,394,356), P(19234,238,394,364), P(19243,238,395,360), P(19250,239,395,356), P(19260,239,396,356), P(19265,239,396,352), P(19276,239,396,329), P(19282,239,396,278), P(19286,239,396,211), P(19294,239,396,82), ], [P(20067,267,336,47), P(20270,267,335,356), P(20278,267,335,356), P(20286,266,335,356), P(20295,266,335,364), P(20302,266,335,368), P(20306,266,335,380), P(20313,266,335,384), P(20323,266,335,396), P(20330,267,335,407), P(20339,267,336,415), P(20346,267,337,423), P(20354,268,338,431), P(20362,269,340,431), P(20365,270,342,435), P(20374,271,345,435), P(20382,272,348,435), P(20390,273,352,435), P(20398,274,356,435), P(20406,275,360,439), P(20414,276,364,439), P(20423,277,368,435), P(20426,278,372,435), P(20434,279,375,435), P(20442,280,378,439), P(20450,280,380,439), P(20458,281,382,443), P(20465,281,384,439), P(20474,282,385,439), P(20482,282,386,439), P(20485,283,387,439), P(20494,283,387,439), P(20501,283,388,439), P(20511,283,388,439), P(20518,283,388,439), P(20526,283,388,443), P(20534,283,388,439), P(20542,283,388,435), P(20546,283,388,439), P(20554,283,388,435), P(20562,283,388,427), P(20569,283,388,423), P(20578,283,388,423), P(20585,283,388,423), P(20594,283,388,419), P(20602,282,388,419), P(20606,282,387,419), P(20614,282,387,423), P(20622,281,387,423), P(20629,281,387,423), P(20639,280,387,423), P(20646,280,387,423), P(20655,279,388,423), P(20662,278,389,423), P(20665,277,389,427), P(20673,276,390,431), P(20681,275,391,435), P(20689,274,392,447), P(20697,273,393,450), P(20706,272,394,450), P(20713,271,395,450), P(20722,270,396,454), P(20726,269,396,454), P(20734,268,397,454), P(20742,268,398,454), P(20750,268,398,454), P(20758,267,398,443), P(20766,267,398,423), P(20774,267,398,400), P(20782,268,398,372), P(20785,268,397,305), P(20795,269,396,176), ], [P(20962,279,390,3), P(20966,280,389,23), P(20974,280,388,58), P(20982,281,388,98), P(20990,281,388,129), P(20999,281,387,156), P(21005,281,387,180), P(21015,281,387,215), P(21022,281,387,243), P(21026,281,387,274), P(21034,281,387,309), P(21042,282,388,333), P(21050,282,388,352), P(21057,282,388,360), P(21066,283,388,372), P(21073,284,389,396), P(21081,285,389,415), P(21085,286,389,431), P(21094,287,390,443), P(21101,287,391,454), P(21110,288,391,458), P(21118,289,392,462), P(21126,290,393,462), P(21134,291,394,466), P(21142,291,395,466), P(21149,292,395,466), P(21153,293,396,470), P(21164,294,396,466), P(21169,294,397,462), P(21182,295,397,458), P(21186,295,397,450), P(21194,295,397,431), P(21201,295,397,396), P(21205,295,396,356), P(21215,295,396,294), P(21222,295,396,211), P(21232,295,396,98), ], ], 'golem': [ [P(0,175,182,23), P(16,174,183,74), P(24,174,183,90), P(31,174,183,98), P(43,174,183,101), P(47,174,183,101), P(52,174,183,101), P(59,174,183,113), P(67,174,183,137), P(75,174,183,164), P(91,174,182,200), P(92,174,182,227), P(99,174,182,250), P(107,174,181,274), P(111,174,181,294), P(120,174,181,313), P(127,174,180,325), P(136,174,179,337), P(143,174,178,341), P(154,174,177,356), P(159,174,177,368), P(170,174,176,376), P(173,175,175,384), P(179,175,173,400), 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P(564,230,111,482), P(574,232,110,482), P(579,234,110,482), P(588,235,109,482), P(591,237,109,482), P(599,239,109,482), P(607,241,109,482), P(616,243,108,486), P(626,245,108,482), P(631,248,108,490), P(640,251,108,486), P(647,253,108,482), P(654,256,107,486), P(659,258,107,482), P(671,260,107,482), P(676,262,108,482), P(683,263,108,486), P(691,265,108,486), P(700,266,109,482), P(709,267,110,482), P(711,268,111,486), P(728,270,112,490), P(728,272,113,486), P(738,273,114,486), P(743,275,115,486), P(758,277,116,486), P(759,279,117,486), P(772,280,119,494), P(774,281,120,494), P(779,282,122,494), P(789,283,123,494), P(795,284,125,494), P(805,285,126,498), P(811,286,128,498), P(822,287,130,498), P(827,288,131,501), P(831,290,133,501), P(841,291,135,501), P(847,292,137,505), P(857,293,139,505), P(863,294,141,505), P(872,295,143,505), P(879,296,145,509), P(893,297,149,509), P(900,297,151,509), P(911,297,153,509), P(915,297,154,509), P(926,298,156,509), P(931,298,157,509), P(939,299,159,509), P(947,299,160,517), P(955,300,161,513), P(959,300,162,517), P(972,301,163,517), P(975,301,163,521), P(989,301,164,525), P(994,302,165,529), P(999,302,166,529), P(1009,302,167,537), P(1011,302,168,533), P(1027,303,169,537), P(1028,303,170,541), P(1039,303,171,541), P(1044,303,172,541), P(1056,303,172,541), P(1060,304,173,549), P(1072,304,175,549), P(1079,304,176,552), P(1089,305,176,552), P(1095,305,177,552), P(1105,305,178,552), P(1111,306,179,556), P(1119,306,180,556), P(1127,306,180,556), P(1131,306,181,556), P(1139,306,182,556), P(1147,306,183,556), P(1156,307,184,556), P(1163,307,184,556), P(1177,307,185,556), P(1179,307,185,556), P(1189,307,185,556), P(1193,308,186,556), P(1199,308,186,556), P(1209,308,186,556), P(1215,309,186,556), P(1223,309,187,556), P(1231,309,187,556), P(1240,310,187,556), P(1247,310,187,556), P(1256,311,187,560), P(1260,312,188,560), P(1272,312,188,560), P(1276,313,189,560), P(1283,314,189,560), P(1292,314,190,560), P(1310,316,190,560), P(1311,317,190,560), P(1323,318,190,560), P(1327,319,190,560), P(1339,320,191,560), P(1344,321,191,560), P(1356,322,191,560), P(1361,323,191,556), P(1373,325,192,556), P(1379,326,192,556), P(1389,327,192,556), P(1395,328,193,556), P(1407,329,193,556), P(1411,330,193,552), P(1423,332,193,552), P(1428,333,193,552), P(1431,334,194,552), P(1444,335,194,552), P(1447,337,194,552), P(1456,338,194,552), P(1463,339,195,552), P(1473,340,195,552), P(1479,341,195,552), P(1491,342,195,552), P(1494,344,195,552), P(1499,345,196,552), P(1507,347,196,552), P(1515,348,196,552), P(1524,349,197,552), P(1531,350,197,552), P(1540,351,198,552), P(1547,352,198,552), P(1557,352,198,552), P(1561,353,199,552), P(1578,354,200,552), P(1583,355,200,552), P(1591,355,201,552), P(1599,356,201,552), P(1607,356,202,552), P(1611,357,203,556), P(1624,358,204,552), P(1628,359,205,556), P(1640,359,206,556), P(1644,360,208,556), P(1657,361,209,556), P(1662,362,210,556), P(1673,363,213,556), P(1679,363,214,556), P(1690,364,215,560), 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P(9620,260,437,603), P(9630,259,436,607), P(9631,259,436,607), P(9639,259,436,611), P(9643,259,436,607), P(9651,258,436,607), P(9659,258,435,607), P(9667,258,435,607), P(9675,257,435,607), P(9683,257,435,607), P(9691,257,434,611), P(9699,256,434,615), P(9703,256,434,611), P(9715,256,434,611), P(9719,255,433,611), P(9727,255,433,615), P(9735,254,433,611), P(9744,253,432,615), P(9751,253,432,611), P(9759,252,431,611), P(9765,252,431,615), P(9771,252,431,611), P(9783,251,430,611), P(9787,251,430,611), P(9799,250,429,611), P(9803,250,428,611), P(9815,249,428,615), P(9819,249,427,607), P(9823,248,427,607), P(9831,248,426,607), P(9839,247,425,607), P(9849,247,424,607), P(9855,246,423,611), P(9866,246,422,607), P(9871,246,421,611), P(9882,246,421,607), P(9883,246,420,607), P(9891,245,419,607), P(9899,245,418,607), P(9907,245,417,607), P(9915,245,416,611), P(9923,245,415,611), P(9933,245,414,607), P(9939,245,413,611), P(9943,245,411,611), P(9951,245,410,607), P(9959,245,409,607), P(9967,245,408,607), P(9975,245,407,611), P(9983,245,406,611), P(9991,245,405,607), P(10000,245,404,611), P(10003,245,403,611), P(10012,245,402,611), P(10019,245,401,611), P(10027,245,401,611), P(10035,245,401,611), P(10043,245,400,615), P(10051,245,400,611), P(10059,245,400,615), P(10066,245,400,611), P(10071,245,400,611), P(10082,245,400,611), P(10087,245,400,611), P(10097,245,399,611), P(10103,245,399,611), P(10111,245,399,607), P(10119,245,399,607), P(10123,245,398,611), P(10133,245,398,611), P(10139,245,397,611), P(10149,246,397,611), P(10155,246,396,615), P(10167,246,396,611), P(10171,246,396,607), P(10183,246,395,607), P(10184,246,395,607), P(10191,247,395,607), P(10200,247,394,607), P(10207,247,394,611), P(10217,247,394,611), P(10223,247,393,607), P(10232,247,393,607), P(10239,247,393,603), P(10243,247,393,603), P(10251,247,393,603), P(10259,248,393,603), P(10267,248,393,607), P(10275,248,393,603), P(10283,248,393,607), P(10291,248,393,603), P(10300,248,393,603), P(10303,249,393,603), P(10311,249,393,600), P(10319,249,392,603), P(10327,250,392,600), P(10335,250,392,600), P(10343,251,392,600), P(10351,251,392,600), P(10359,251,392,600), P(10365,252,392,600), P(10371,252,392,596), P(10379,252,392,600), P(10387,253,392,596), P(10395,253,392,596), P(10403,254,392,596), P(10411,254,392,596), P(10419,255,392,596), P(10423,256,391,596), P(10433,257,391,596), P(10439,258,391,592), P(10450,258,390,592), P(10455,259,390,592), P(10465,260,390,592), P(10471,261,390,596), P(10479,263,390,596), P(10483,264,390,592), P(10491,265,390,588), P(10500,266,390,588), P(10507,267,389,584), P(10517,269,389,576), P(10523,270,389,572), P(10534,271,389,568), P(10539,272,389,564), P(10543,274,389,556), P(10551,275,388,552), P(10559,276,388,552), P(10567,277,388,552), P(10575,278,388,549), P(10583,279,388,549), P(10591,280,388,549), P(10600,282,388,549), P(10603,283,388,549), P(10611,284,388,549), P(10619,286,387,549), P(10627,287,387,549), P(10635,288,387,549), P(10643,289,387,549), P(10651,290,387,549), P(10659,290,386,549), P(10666,291,386,549), P(10671,292,386,549), P(10679,292,386,549), P(10687,293,386,549), P(10695,293,386,549), P(10703,294,386,549), P(10711,294,386,549), P(10719,295,386,549), P(10723,295,387,549), P(10734,295,387,549), P(10739,296,387,549), P(10749,296,387,541), P(10755,296,387,541), P(10766,297,387,537), P(10771,297,387,537), P(10781,297,387,537), P(10784,298,387,537), P(10791,298,387,537), P(10801,298,387,533), P(10807,298,387,533), P(10817,299,387,529), P(10823,299,387,517), P(10833,299,387,501), P(10839,299,387,474), P(10843,299,387,447), P(10851,299,387,415), P(10859,299,387,388), P(10867,299,387,349), P(10875,299,387,274), P(10884,299,387,200), P(10891,300,388,129), P(10900,300,388,39), ], [P(12152,177,393,39), P(12179,178,392,203), P(12187,178,392,239), P(12195,179,392,278), P(12204,179,392,309), P(12211,180,393,333), P(12221,180,393,349), P(12223,181,393,356), P(12231,182,393,368), P(12239,183,393,376), P(12249,184,393,388), P(12255,185,393,400), P(12264,187,393,400), P(12271,188,393,411), P(12280,189,393,423), P(12283,191,393,427), P(12291,192,393,439), P(12299,194,393,443), P(12307,195,393,454), P(12316,197,393,454), P(12323,199,393,458), P(12332,200,393,458), P(12339,202,393,462), P(12343,203,393,462), P(12351,205,393,462), P(12359,206,393,462), P(12367,207,393,466), P(12375,209,393,470), P(12383,210,393,466), P(12391,211,393,466), P(12400,212,393,474), P(12404,213,393,470), P(12411,214,393,474), P(12420,215,393,474), P(12427,216,394,474), P(12436,217,394,474), P(12443,219,394,478), P(12451,220,394,474), P(12460,221,394,474), P(12465,222,394,478), P(12471,223,394,478), P(12479,223,394,482), P(12487,224,394,478), P(12495,225,394,482), P(12505,225,394,478), P(12511,226,394,478), P(12520,226,394,482), P(12523,226,394,482), P(12531,226,394,482), P(12539,227,394,486), P(12548,227,394,486), P(12555,227,394,490), P(12564,227,394,494), P(12571,227,394,494), P(12580,227,394,494), P(12583,228,394,494), P(12591,228,394,494), P(12599,228,394,494), P(12607,228,394,498), P(12616,229,394,498), P(12623,229,395,498), P(12631,229,395,498), P(12639,230,395,498), P(12643,230,395,498), P(12651,230,395,498), P(12659,230,395,501), P(12667,231,395,501), P(12675,231,395,501), P(12683,231,395,501), P(12691,231,395,501), P(12699,232,395,501), P(12705,232,395,501), P(12711,232,396,501), P(12721,233,396,501), P(12727,233,396,501), P(12735,234,396,501), P(12743,234,396,501), P(12751,235,397,501), P(12759,235,397,505), P(12765,235,397,505), P(12771,236,397,505), P(12779,236,398,505), P(12788,236,398,505), P(12795,236,398,509), P(12804,237,398,509), P(12811,237,399,509), P(12821,237,399,509), P(12823,238,399,509), P(12831,238,399,509), P(12839,238,400,513), P(12847,238,400,513), P(12855,238,400,513), P(12864,238,401,513), P(12872,238,401,513), P(12880,238,402,513), P(12883,238,402,513), P(12891,238,403,513), P(12899,239,403,513), P(12907,239,404,513), P(12915,239,404,513), P(12923,239,405,513), P(12931,239,405,513), P(12939,239,406,513), P(12943,240,406,513), P(12951,240,407,513), P(12959,240,407,513), P(12967,240,408,517), P(12975,241,408,517), P(12983,241,409,517), P(12991,242,410,517), P(12999,242,411,513), P(13005,242,411,517), P(13011,242,412,517), P(13019,242,413,517), P(13027,242,414,521), P(13035,242,414,517), P(13043,242,415,517), P(13051,242,416,517), P(13059,242,416,521), P(13064,242,417,517), P(13072,242,417,517), P(13079,242,418,521), P(13089,242,418,517), P(13095,242,419,517), P(13105,242,419,521), P(13111,242,420,521), P(13119,242,420,517), P(13123,242,421,517), P(13131,242,421,521), P(13139,242,422,517), P(13148,242,422,517), P(13156,242,423,521), P(13163,242,423,521), P(13172,242,424,521), P(13181,242,424,517), P(13183,242,425,517), P(13191,242,426,521), P(13200,242,426,517), P(13207,242,427,517), P(13215,242,428,517), P(13223,242,428,517), P(13233,242,429,517), P(13239,242,429,521), P(13243,242,430,521), P(13251,242,430,517), P(13259,242,430,517), P(13267,242,431,521), P(13275,241,431,517), P(13283,241,431,517), P(13291,241,432,521), P(13299,241,432,517), P(13308,241,433,517), P(13311,241,433,517), P(13319,240,434,521), P(13327,240,434,521), P(13335,240,435,521), P(13343,240,436,521), P(13351,239,436,521), P(13359,239,437,521), P(13363,239,437,521), P(13373,239,438,517), P(13379,238,439,521), P(13390,238,440,517), P(13395,238,440,517), P(13403,238,441,525), P(13411,237,441,517), P(13419,237,441,521), P(13423,237,442,517), P(13431,237,442,525), P(13440,237,442,517), P(13448,237,443,517), P(13457,237,443,517), P(13463,236,443,517), P(13474,236,443,517), P(13479,236,443,521), P(13483,236,444,517), P(13491,235,444,521), P(13499,235,444,517), P(13507,235,444,521), P(13516,235,445,521), P(13528,234,445,521), P(13531,234,445,521), P(13540,234,445,521), P(13543,234,445,521), P(13551,233,446,521), P(13559,233,446,525), P(13567,233,446,521), P(13575,232,446,521), P(13583,232,446,521), P(13591,231,447,521), P(13604,230,448,525), P(13612,229,448,521), P(13620,228,448,525), P(13627,227,449,521), P(13641,227,449,521), P(13643,226,449,521), P(13653,225,450,521), P(13659,224,450,521), P(13670,223,450,521), P(13672,223,450,521), P(13679,222,450,521), P(13687,220,450,521), P(13695,219,451,521), P(13732,211,452,521), P(13740,210,452,529), P(13748,208,452,529), P(13757,207,452,525), P(13764,205,453,525), P(13773,204,453,529), P(13781,202,453,525), P(13783,201,453,529), P(13791,199,453,525), P(13799,198,453,529), P(13808,197,453,525), P(13815,196,453,525), P(13825,194,453,525), P(13831,193,453,525), P(13851,190,453,525), P(13859,189,453,529), P(13867,188,453,529), P(13875,186,453,529), P(13883,185,453,529), P(13891,184,453,529), P(13899,182,452,525), P(13908,180,452,529), P(13911,178,452,529), P(13919,177,451,529), P(13927,175,451,525), P(13935,173,451,525), P(13943,171,451,525), P(13951,169,451,525), P(13959,168,451,525), P(13964,166,451,525), P(13971,165,451,529), P(13979,164,451,529), P(13987,163,451,525), P(14004,160,451,525), P(14011,159,450,525), P(14021,158,450,529), P(14025,157,450,525), P(14038,157,449,525), P(14040,156,449,529), P(14058,155,448,529), P(14063,154,448,529), P(14072,153,447,525), P(14079,153,447,525), P(14087,152,446,525), P(14091,151,446,529), P(14104,151,446,525), P(14108,150,445,525), P(14121,150,445,521), P(14124,149,444,525), P(14137,149,444,521), P(14140,148,443,521), P(14143,148,443,521), P(14154,148,442,525), P(14159,148,442,517), P(14171,147,441,517), P(14175,147,441,525), P(14192,147,439,517), P(14204,147,438,521), P(14211,146,437,521), P(14222,146,436,525), P(14227,145,435,521), P(14238,145,434,521), P(14243,145,432,521), P(14255,144,431,521), P(14259,144,430,521), P(14264,144,429,521), P(14272,143,429,521), P(14279,143,428,525), P(14288,143,427,521), P(14295,143,427,521), P(14304,143,426,525), P(14311,143,426,517), P(14321,143,425,517), P(14324,143,424,517), P(14342,143,423,521), P(14355,143,422,521), P(14356,143,421,525), P(14372,143,420,521), P(14379,143,419,521), P(14388,143,418,521), P(14392,143,417,521), P(14405,143,416,521), P(14408,143,415,525), P(14422,144,414,521), P(14426,144,414,525), P(14439,144,413,525), P(14442,144,412,521), P(14443,145,411,521), P(14455,145,410,529), P(14459,145,410,525), P(14475,145,409,525), P(14475,145,408,525), P(14488,145,407,529), P(14491,145,406,525), P(14505,144,405,529), P(14511,144,404,525), P(14522,144,403,525), P(14527,144,402,525), P(14539,145,402,529), P(14543,145,401,525), P(14555,145,400,525), P(14559,145,400,525), P(14563,145,399,533), P(14572,145,399,525), P(14579,145,398,529), P(14589,145,397,533), P(14595,146,396,533), P(14610,146,396,529), P(14611,146,395,525), P(14623,146,394,525), P(14625,146,393,525), P(14639,146,392,525), P(14640,146,391,529), P(14656,147,389,525), P(14672,147,387,529), P(14679,147,386,525), P(14689,147,385,529), P(14692,147,385,529), P(14706,147,384,525), P(14708,148,383,525), P(14723,148,381,525), P(14726,148,380,525), P(14742,148,378,525), P(14743,148,377,525), P(14756,148,375,525), P(14760,147,374,525), P(14773,147,373,529), P(14776,147,372,525), P(14789,147,371,525), P(14792,147,370,525), P(14806,146,368,525), P(14811,146,367,525), P(14823,146,366,525), P(14827,146,365,525), P(14839,146,364,525), P(14843,146,363,525), P(14856,146,362,525), P(14859,146,361,525), P(14876,146,360,529), P(14879,146,359,525), P(14889,146,359,525), P(14895,146,358,529), P(14907,146,358,525), P(14911,146,357,525), P(14923,146,356,529), P(14924,146,355,533), P(14939,146,354,533), P(14957,146,352,529), P(14973,146,351,529), P(14979,146,350,529), P(14990,146,350,529), P(14992,146,349,529), P(15011,146,348,529), P(15024,146,347,529), P(15040,146,346,533), P(15043,146,345,529), P(15057,146,345,533), P(15060,146,344,537), P(15073,146,344,537), P(15076,146,344,533), P(15090,146,343,533), P(15093,146,343,533), P(15107,146,343,537), P(15111,146,343,537), P(15124,146,343,537), P(15127,146,343,529), P(15144,146,343,529), P(15157,146,343,533), P(15159,146,343,533), P(15174,147,343,529), P(15179,147,343,529), P(15190,147,343,529), P(15195,147,343,533), P(15207,147,343,529), P(15211,147,343,529), P(15224,147,343,529), P(15241,147,343,525), P(15258,147,343,529), P(15277,147,343,525), P(15279,147,343,521), P(15291,147,343,525), P(15291,147,343,513), P(15307,147,343,501), P(15308,147,343,494), P(15324,147,343,482), P(15331,147,343,458), P(15339,147,343,454), P(15344,147,342,443), P(15357,147,342,435), P(15361,148,342,427), P(15374,148,342,415), P(15377,148,342,396), P(15391,148,343,376), P(15392,148,343,325), P(15407,149,343,219), ], [P(17040,174,178,3), P(17219,173,178,372), P(17227,173,177,372), P(17235,173,177,380), P(17243,172,177,380), P(17251,172,177,384), P(17259,172,177,384), P(17263,172,177,388), P(17271,172,177,396), P(17279,171,177,400), P(17287,171,177,403), P(17295,171,177,407), P(17304,171,177,403), P(17311,171,177,403), P(17319,171,177,403), P(17323,171,177,403), P(17333,171,177,411), P(17339,171,177,411), P(17349,171,177,415), P(17356,171,177,419), P(17363,171,178,419), P(17371,171,178,419), P(17379,170,178,423), P(17383,170,178,423), P(17391,170,178,423), P(17400,170,178,423), P(17407,170,178,427), P(17417,170,178,431), P(17422,169,179,427), P(17433,169,179,431), P(17439,169,179,431), P(17443,169,179,431), P(17451,169,179,439), P(17459,168,179,435), P(17467,168,179,435), P(17475,168,179,439), P(17484,167,179,435), P(17491,167,180,435), P(17500,166,180,435), P(17503,166,180,435), P(17511,165,180,439), P(17519,165,180,439), P(17527,164,180,439), P(17535,164,181,443), P(17543,163,181,439), P(17551,163,181,443), P(17559,162,181,443), P(17563,162,181,443), P(17571,161,181,443), P(17580,161,181,443), P(17588,160,182,443), P(17595,160,182,443), P(17604,159,182,443), P(17611,159,182,443), P(17619,158,182,443), P(17623,158,183,443), P(17633,158,183,447), P(17639,157,183,443), P(17647,157,183,443), P(17656,156,183,443), P(17663,156,184,443), P(17672,155,184,443), P(17679,155,185,447), P(17683,154,185,443), P(17691,153,185,443), P(17701,153,186,450), P(17707,152,186,450), P(17718,151,187,450), P(17723,151,187,450), P(17731,150,188,450), P(17739,149,188,450), P(17743,149,188,450), P(17751,148,189,450), P(17759,147,189,450), P(17768,147,190,450), P(17775,146,190,450), P(17784,145,190,450), P(17791,145,191,450), P(17801,144,191,450), P(17803,143,192,450), P(17811,143,192,450), P(17819,142,193,450), P(17827,141,193,454), P(17835,140,194,454), P(17843,140,194,454), P(17852,139,195,454), P(17859,138,195,454), P(17863,137,196,454), P(17871,137,196,458), P(17879,136,197,458), P(17888,136,197,458), P(17895,135,198,458), P(17903,135,198,458), P(17911,134,198,462), P(17920,134,199,462), P(17922,133,199,462), P(17931,132,200,462), P(17943,132,200,462), P(17947,131,201,462), P(17955,130,202,462), P(17963,129,202,466), P(17971,128,203,466), P(17979,127,203,466), P(17985,127,204,466), P(17991,126,205,470), P(18000,126,205,466), P(18006,125,206,466), P(18017,125,206,466), P(18023,124,207,466), P(18031,124,207,466), P(18039,124,208,466), P(18042,124,208,470), P(18052,123,209,466), P(18059,123,210,470), P(18068,122,211,470), P(18075,122,211,474), P(18084,121,212,474), P(18090,121,213,474), P(18101,120,214,474), P(18104,120,214,474), P(18111,120,215,478), P(18119,119,216,482), P(18127,119,217,478), P(18135,119,217,482), P(18143,118,218,482), P(18152,118,219,482), P(18159,118,220,482), P(18163,118,220,486), P(18171,118,221,486), P(18179,117,222,486), P(18188,117,223,494), P(18195,117,223,494), P(18203,117,224,494), P(18211,117,225,498), P(18220,117,225,498), P(18222,116,226,501), P(18231,116,227,501), P(18239,116,228,501), P(18247,116,229,505), P(18255,115,231,505), P(18262,115,232,505), P(18271,115,233,505), P(18279,114,234,505), P(18285,114,235,505), P(18291,114,236,505), P(18299,114,237,505), P(18307,114,238,505), P(18315,114,238,505), P(18323,114,239,505), P(18331,114,240,505), P(18339,114,241,509), P(18342,114,242,509), P(18354,114,243,509), P(18359,114,244,513), P(18368,114,245,517), P(18375,113,246,513), P(18385,113,247,513), P(18391,113,248,517), P(18399,113,249,517), P(18404,112,250,517), P(18411,112,251,521), P(18421,112,252,525), P(18427,112,253,525), P(18437,111,255,521), P(18443,111,256,525), P(18452,111,257,525), P(18459,111,259,521), P(18463,111,260,521), P(18471,111,261,521), P(18479,111,262,521), P(18491,111,263,521), P(18494,111,265,521), P(18503,111,266,521), P(18511,111,267,521), P(18520,111,268,525), P(18523,111,269,525), P(18531,112,271,521), P(18539,112,272,521), P(18547,112,273,525), P(18555,112,274,525), P(18563,112,275,529), P(18571,112,276,525), P(18579,112,278,525), P(18583,113,279,525), P(18591,113,280,529), P(18599,113,282,525), P(18607,114,283,525), P(18615,114,284,529), P(18623,114,286,529), P(18631,115,287,533), P(18639,115,288,529), P(18643,116,289,529), P(18654,116,290,525), P(18659,116,291,525), P(18669,117,292,529), P(18675,117,293,533), P(18683,117,295,529), P(18691,117,296,529), P(18699,118,297,529), P(18704,118,298,529), P(18711,118,299,529), P(18722,118,300,533), P(18727,118,300,529), P(18736,118,301,529), P(18743,119,302,533), P(18753,119,303,529), P(18759,119,304,533), P(18763,120,305,529), P(18771,120,306,529), P(18779,121,307,533), P(18788,121,308,529), P(18795,121,309,529), P(18805,122,310,529), P(18811,122,310,533), P(18822,122,311,533), P(18823,122,312,537), P(18831,122,312,533), P(18839,122,313,533), P(18847,122,314,533), P(18855,123,314,537), P(18863,123,315,537), P(18871,123,316,533), P(18879,123,316,533), P(18883,123,317,533), P(18891,124,317,533), P(18899,124,318,533), P(18907,124,318,533), P(18915,124,319,533), P(18922,125,319,537), P(18931,125,320,537), P(18939,125,321,533), P(18943,126,321,533), P(18954,126,322,537), P(18958,126,322,533), P(18967,127,323,533), P(18975,127,323,533), P(18983,128,324,537), P(18990,128,325,541), P(18999,128,325,537), P(19005,129,326,541), P(19011,129,327,537), P(19022,130,327,537), P(19027,130,328,537), P(19038,130,328,537), P(19043,130,329,537), P(19053,131,329,541), P(19059,131,330,541), P(19062,131,330,537), P(19072,132,331,537), P(19078,132,331,537), P(19087,132,331,537), P(19095,133,332,537), P(19105,133,332,537), P(19111,133,332,537), P(19120,134,332,537), P(19123,134,332,541), P(19131,135,332,541), P(19139,136,333,541), P(19147,136,333,549), P(19156,137,333,549), P(19163,137,334,549), P(19172,138,334,549), P(19179,139,335,552), P(19183,139,335,552), P(19191,140,336,552), P(19199,141,336,556), P(19207,142,337,560), P(19215,142,337,560), P(19223,143,338,564), P(19231,143,338,564), P(19239,144,339,568), P(19243,145,339,568), P(19251,145,340,568), P(19259,146,340,572), P(19267,147,341,572), P(19275,147,341,572), P(19283,148,341,572), P(19291,149,342,572), P(19299,150,342,576), P(19305,151,343,576), P(19311,152,343,584), P(19322,153,343,580), P(19327,154,343,588), P(19337,155,344,588), P(19342,156,344,588), P(19351,157,344,592), P(19359,157,344,596), P(19363,158,344,600), P(19372,159,345,603), P(19379,160,345,603), P(19389,161,345,607), P(19394,162,345,611), P(19404,163,346,611), P(19410,164,346,611), P(19423,164,347,619), P(19423,165,347,619), P(19431,166,347,619), P(19439,167,348,615), P(19447,167,348,615), P(19456,168,348,619), P(19463,169,349,619), P(19472,169,349,619), P(19479,170,349,623), P(19483,171,349,619), P(19490,172,350,619), P(19499,173,350,619), P(19507,173,350,619), P(19515,174,350,619), P(19524,175,350,623), P(19531,175,350,619), P(19539,176,350,623), P(19542,176,350,619), P(19551,177,350,619), P(19559,177,351,619), P(19567,177,351,619), P(19575,178,351,619), P(19583,179,351,623), P(19591,179,351,623), P(19599,180,351,623), P(19606,180,351,623), P(19611,181,351,627), P(19623,181,351,623), P(19627,182,351,623), P(19635,183,351,623), P(19643,183,351,623), P(19651,183,350,623), P(19659,184,350,623), P(19663,184,350,627), P(19672,185,350,627), P(19679,185,350,627), P(19690,186,350,623), P(19695,186,350,627), P(19706,187,350,623), P(19711,187,350,623), P(19723,188,349,623), P(19724,188,349,627), P(19731,189,349,623), P(19740,189,348,623), P(19746,190,348,627), P(19757,191,348,623), P(19763,191,348,627), P(19772,192,347,627), P(19779,192,347,627), P(19783,193,347,623), P(19791,193,347,623), P(19799,193,347,627), P(19807,194,347,623), P(19815,194,346,627), P(19823,195,346,623), P(19831,195,346,623), P(19840,195,346,623), P(19843,196,345,619), P(19851,196,345,619), P(19859,196,345,619), P(19867,197,345,619), P(19875,197,344,615), P(19883,197,344,615), P(19891,198,344,615), P(19899,198,344,619), P(19906,198,344,611), P(19910,198,343,611), P(19919,198,343,611), P(19927,199,343,615), P(19935,199,343,611), P(19943,200,342,607), P(19951,200,342,611), P(19959,201,342,607), P(19963,202,341,600), P(19974,202,341,603), P(19978,203,341,603), P(19988,204,341,603), P(19995,204,340,607), P(20003,204,340,607), P(20010,204,340,603), P(20019,205,340,607), P(20024,205,340,603), P(20031,205,340,603), P(20040,206,340,603), P(20047,206,339,603), P(20057,207,339,607), P(20063,207,339,603), P(20073,208,338,607), P(20079,208,338,603), P(20082,208,338,600), P(20091,208,338,600), P(20099,209,338,600), P(20107,209,338,600), P(20114,209,337,603), P(20124,209,337,600), P(20131,210,337,600), P(20142,210,337,603), P(20143,211,337,603), P(20151,211,337,600), P(20159,212,336,600), P(20167,212,336,600), P(20174,213,336,600), P(20182,213,336,603), P(20190,213,336,600), P(20199,214,336,603), P(20205,214,336,600), P(20211,214,335,600), P(20219,215,335,600), P(20227,215,335,600), P(20235,215,335,603), P(20243,216,335,603), P(20251,216,335,603), P(20258,216,334,600), P(20262,217,334,600), P(20274,218,333,600), P(20279,218,333,603), P(20290,219,333,600), P(20295,219,333,603), P(20305,219,332,600), P(20311,220,332,600), P(20321,220,332,603), P(20324,220,332,600), P(20331,220,332,600), P(20341,221,332,600), P(20347,221,332,600), P(20357,221,331,600), P(20363,221,331,603), P(20373,221,331,603), P(20379,222,331,600), P(20383,222,331,603), P(20391,222,331,603), P(20399,222,331,600), P(20408,222,330,600), P(20415,222,330,600), P(20425,222,330,600), P(20431,222,330,600), P(20441,222,330,603), P(20442,222,330,603), P(20451,223,330,603), P(20459,223,329,603), P(20467,223,329,603), P(20475,223,329,603), P(20483,223,329,600), P(20491,223,329,600), P(20499,223,329,600), P(20505,223,328,600), P(20511,223,328,596), P(20519,222,328,592), P(20527,222,328,588), P(20535,222,327,584), P(20542,222,327,576), P(20551,222,327,568), P(20559,222,326,560), P(20563,221,326,556), P(20574,221,325,552), P(20579,220,325,552), P(20589,220,324,552), P(20595,220,324,552), P(20603,220,323,549), P(20610,219,323,549), P(20618,219,322,549), P(20624,219,322,549), P(20631,218,321,549), P(20641,218,320,549), P(20647,217,320,549), P(20658,217,319,549), P(20663,216,319,549), P(20674,216,319,549), P(20679,215,318,541), P(20682,215,318,545), P(20691,215,318,541), P(20699,214,318,545), P(20708,214,318,541), P(20715,213,317,541), P(20723,213,317,541), P(20731,212,317,541), P(20742,212,317,537), P(20743,211,317,537), P(20751,211,317,537), P(20759,210,316,537), P(20767,210,316,541), P(20775,209,316,537), P(20783,209,316,541), P(20791,209,316,537), P(20799,208,316,541), P(20805,208,316,541), P(20811,208,316,537), P(20819,208,316,537), P(20827,208,316,541), P(20835,208,316,537), P(20843,207,316,541), P(20851,207,316,541), P(20859,207,316,537), P(20862,207,316,537), P(20875,207,316,537), P(20879,207,316,537), P(20889,207,316,537), P(20895,207,316,529), P(20905,207,316,525), P(20911,207,316,521), P(20919,207,316,521), P(20924,207,316,521), P(20931,207,316,521), P(20939,208,316,521), P(20947,208,316,525), P(20956,208,315,521), P(20963,209,315,521), P(20973,209,314,521), P(20979,210,314,517), P(20982,210,313,525), P(20992,211,313,525), P(20999,211,312,521), P(21009,211,312,517), P(21015,212,311,521), P(21023,212,311,517), P(21031,213,310,517), P(21040,213,309,521), P(21043,213,309,517), P(21051,214,308,517), P(21059,214,307,517), P(21067,214,307,517), P(21076,214,306,517), P(21083,215,305,521), P(21092,215,305,521), P(21099,215,304,517), P(21105,215,304,517), P(21111,216,303,517), P(21118,216,302,517), P(21126,216,302,517), P(21135,216,301,517), P(21143,217,300,517), P(21151,217,299,517), P(21159,217,298,521), P(21162,217,298,517), P(21173,217,297,517), P(21179,218,296,517), P(21188,218,295,517), P(21195,218,295,521), P(21203,218,294,521), P(21211,218,293,517), P(21219,218,293,521), P(21223,218,292,525), P(21231,218,292,525), P(21239,218,292,525), P(21246,218,291,521), P(21255,218,291,525), P(21262,218,291,521), P(21276,218,291,525), P(21278,218,291,529), P(21282,218,291,525), P(21292,217,291,525), P(21298,217,291,525), P(21307,217,291,525), P(21314,216,291,525), P(21323,216,291,525), P(21331,215,291,525), P(21339,215,291,529), P(21343,214,291,525), P(21350,213,291,525), P(21360,213,291,533), P(21367,212,291,529), P(21376,211,290,529), P(21383,210,290,529), P(21393,210,290,529), P(21399,209,290,529), P(21404,208,290,525), P(21411,208,290,525), P(21427,206,290,525), P(21434,206,290,529), P(21443,205,290,525), P(21450,204,290,529), P(21459,204,290,525), P(21462,204,290,525), P(21473,203,290,525), P(21479,203,290,525), P(21489,203,290,525), P(21495,203,290,525), P(21506,203,290,525), P(21511,203,290,521), P(21519,203,290,521), P(21523,203,290,517), P(21531,203,290,513), P(21539,203,290,513), P(21546,203,290,517), P(21560,203,290,513), P(21562,204,290,513), P(21575,204,290,517), P(21579,205,290,513), P(21582,205,290,513), P(21590,206,289,513), P(21598,207,289,513), P(21607,207,288,513), P(21614,208,288,513), P(21624,208,287,513), P(21631,209,287,517), P(21640,210,286,517), P(21644,210,286,513), P(21651,211,285,513), P(21660,211,284,513), P(21667,212,283,509), P(21677,212,283,509), P(21683,213,282,509), P(21694,213,281,509), P(21698,214,281,509), P(21702,214,280,509), P(21711,214,280,505), P(21718,215,279,505), P(21727,215,278,505), 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P(1087,303,218,525), P(1095,302,218,525), P(1105,302,219,525), P(1107,301,219,525), P(1115,301,219,525), P(1123,300,219,529), P(1131,299,219,529), P(1139,299,219,525), P(1147,298,219,529), P(1155,298,219,529), P(1163,297,219,525), P(1167,297,219,525), P(1175,296,219,525), P(1183,295,220,525), P(1191,295,220,525), P(1199,294,220,525), P(1207,293,220,529), P(1215,292,220,529), P(1223,291,220,525), P(1227,290,220,525), P(1236,289,220,521), P(1243,287,220,525), P(1251,286,220,525), P(1259,285,220,525), P(1267,283,219,525), P(1275,281,219,529), P(1283,279,219,525), P(1288,277,219,525), P(1295,275,219,529), P(1304,272,219,525), P(1311,269,219,525), P(1320,266,218,521), P(1329,262,218,521), P(1337,258,218,525), P(1345,255,217,525), P(1347,251,217,521), P(1355,247,217,521), P(1363,244,217,525), P(1371,240,217,525), P(1379,237,218,525), P(1388,235,218,525), P(1395,232,218,525), P(1405,230,218,525), P(1407,228,218,529), P(1415,227,218,525), P(1423,226,217,525), P(1431,225,217,525), P(1439,224,217,525), P(1447,224,217,525), P(1455,223,216,525), P(1463,223,216,525), P(1467,222,216,525), P(1475,222,216,525), P(1483,222,216,525), P(1491,222,216,525), P(1499,221,216,525), P(1507,221,216,525), P(1515,221,216,525), P(1523,221,216,525), P(1527,221,216,525), P(1535,221,216,525), P(1544,221,215,529), P(1551,220,215,525), P(1559,220,215,529), P(1567,220,215,525), P(1575,220,215,529), P(1583,219,215,525), P(1588,219,214,529), P(1595,219,214,525), P(1605,219,214,529), P(1612,218,214,525), P(1621,218,214,525), P(1628,218,214,525), P(1635,218,214,529), P(1644,218,214,529), P(1647,218,214,525), P(1655,218,214,525), P(1663,217,214,529), P(1673,217,214,525), P(1679,217,214,525), P(1689,216,214,533), P(1695,216,214,529), P(1704,216,214,533), P(1707,216,214,529), P(1715,215,214,533), P(1723,215,214,529), P(1731,214,214,533), P(1739,214,214,529), P(1747,213,214,529), P(1755,213,214,529), P(1763,212,214,529), P(1767,211,214,529), P(1775,211,214,529), P(1783,210,214,537), P(1791,209,214,533), P(1799,209,214,533), P(1807,208,214,533), P(1815,207,214,537), P(1823,206,214,537), P(1828,206,214,537), P(1835,205,214,533), P(1845,205,214,533), P(1851,204,214,533), P(1859,203,214,533), P(1867,203,214,537), P(1875,202,214,533), P(1883,201,214,533), P(1888,200,214,533), P(1896,199,214,537), P(1906,198,214,537), P(1911,197,214,537), P(1920,195,214,541), P(1929,194,214,541), P(1935,192,213,541), P(1943,191,213,541), P(1947,189,212,541), P(1955,188,212,541), P(1963,186,212,545), P(1971,185,212,545), P(1979,184,212,545), P(1989,182,211,545), P(1995,181,211,545), P(2006,180,211,545), P(2007,179,210,541), P(2015,179,209,541), P(2023,178,209,537), P(2031,177,207,537), P(2039,177,206,537), P(2047,176,205,537), P(2056,175,203,537), P(2063,175,201,537), P(2067,174,199,545), P(2075,173,197,537), P(2083,172,194,541), P(2091,170,192,545), P(2099,169,190,541), P(2107,168,187,541), P(2115,167,185,541), P(2123,165,183,541), P(2127,164,181,541), P(2135,163,179,545), P(2143,163,177,545), P(2151,162,174,541), P(2159,162,172,541), P(2167,161,170,541), P(2175,161,167,545), P(2183,161,165,541), P(2188,161,163,537), P(2195,161,161,537), P(2203,161,159,537), P(2211,161,157,541), P(2219,161,155,537), P(2227,162,153,537), P(2235,162,151,533), P(2239,162,150,533), P(2247,163,148,533), P(2256,163,147,533), P(2263,163,146,533), P(2272,163,145,533), P(2279,164,145,533), P(2289,164,144,537), P(2295,164,144,529), P(2303,164,143,525), P(2307,164,143,529), P(2315,165,143,525), P(2323,165,142,521), P(2331,166,142,521), P(2340,166,141,521), P(2347,167,141,521), P(2357,167,140,517), P(2363,168,140,517), P(2367,168,140,521), P(2375,169,140,517), P(2383,169,139,517), P(2391,169,139,517), P(2399,170,139,517), P(2407,170,138,517), P(2415,171,138,517), P(2424,171,137,513), P(2428,172,137,513), P(2435,173,136,517), P(2443,174,136,513), P(2451,175,135,513), P(2459,175,135,513), P(2467,176,134,517), P(2475,176,134,513), P(2483,176,134,517), P(2487,176,134,521), P(2496,176,134,521), P(2503,176,134,517), P(2511,176,134,513), P(2519,176,134,517), P(2528,176,134,509), P(2535,176,134,505), P(2544,176,134,505), P(2547,176,134,505), P(2555,176,134,501), P(2563,176,134,501), P(2572,176,134,501), P(2580,176,134,501), P(2587,177,134,501), P(2595,177,134,501), P(2603,177,134,501), P(2608,177,134,501), P(2615,177,134,501), P(2625,177,134,501), P(2631,177,134,501), P(2642,177,134,501), P(2647,177,134,501), P(2655,177,134,505), P(2663,177,134,505), P(2667,177,134,505), P(2675,177,134,505), P(2683,177,134,505), P(2692,177,134,505), P(2699,177,134,501), P(2708,177,134,501), P(2715,177,134,498), P(2725,177,134,498), P(2727,177,134,498), P(2735,177,135,498), P(2744,177,135,498), P(2751,177,135,498), P(2760,177,135,498), P(2767,177,136,498), P(2775,177,136,494), P(2783,177,136,494), P(2787,177,137,494), P(2797,177,138,494), P(2803,177,138,494), P(2812,177,139,494), P(2819,177,140,494), P(2828,177,141,494), P(2835,177,142,494), P(2844,177,144,494), P(2847,178,145,486), P(2855,178,146,486), P(2863,178,148,494), P(2871,179,149,490), P(2879,179,150,486), P(2887,180,152,486), P(2895,180,153,486), P(2903,181,155,490), P(2909,182,156,486), P(2915,182,158,486), P(2925,183,159,486), P(2931,184,161,486), P(2939,186,162,486), P(2947,187,163,486), P(2955,188,165,486), P(2963,189,166,494), P(2967,190,167,494), P(2978,191,168,494), P(2983,193,170,494), P(2992,194,171,494), P(2999,196,172,494), P(3009,197,174,494), P(3015,199,175,494), P(3025,200,176,494), P(3028,202,177,494), P(3035,203,178,494), P(3044,205,179,494), P(3051,206,179,494), P(3059,208,179,494), P(3067,209,180,494), P(3077,211,180,494), P(3079,212,180,494), P(3087,213,180,494), P(3095,214,180,494), P(3103,214,180,494), P(3111,215,180,494), P(3119,215,181,494), P(3128,215,181,494), P(3135,216,182,498), P(3144,216,182,494), P(3147,216,183,494), P(3155,216,183,494), P(3163,217,183,498), P(3171,217,184,498), P(3179,217,184,498), P(3187,218,184,498), P(3195,218,185,498), P(3203,218,185,494), P(3209,219,185,494), P(3215,219,186,494), P(3223,220,186,494), P(3231,220,186,494), P(3239,221,186,494), P(3247,221,186,494), P(3256,222,186,494), P(3263,222,186,494), P(3267,222,186,494), P(3277,222,186,494), P(3283,222,186,494), P(3293,223,186,494), P(3299,223,186,494), P(3309,223,186,494), P(3315,223,186,486), P(3323,223,186,431), P(3328,223,187,380), P(3335,223,187,274), P(3345,224,187,54), ], [P(3968,295,179,7), P(3983,296,180,86), P(3987,297,180,125), P(3995,297,180,160), P(4003,298,180,188), P(4011,299,180,215), P(4020,300,181,231), P(4028,301,181,247), P(4035,302,181,266), P(4045,303,181,301), P(4047,304,181,313), P(4055,305,182,325), P(4063,306,182,337), P(4071,307,182,337), P(4079,308,182,349), P(4086,309,182,352), P(4095,310,182,356), P(4103,312,182,356), P(4107,313,182,360), P(4115,314,181,364), P(4123,316,180,364), P(4131,318,180,364), P(4139,319,179,368), P(4147,321,178,372), P(4155,322,178,380), P(4163,324,177,384), P(4166,326,176,388), P(4175,328,176,388), P(4183,329,175,392), P(4191,332,174,396), P(4199,333,172,396), P(4207,336,171,400), P(4215,337,170,400), P(4223,339,168,403), P(4228,341,166,415), P(4235,342,165,415), P(4244,344,163,419), P(4252,345,161,423), P(4259,346,159,427), P(4268,348,157,427), P(4275,349,155,431), P(4284,351,153,431), P(4286,352,152,431), P(4296,354,150,435), P(4303,355,149,435), P(4323,357,146,435), P(4328,357,145,439), P(4336,358,144,439), P(4339,358,143,439), P(4347,358,141,439), P(4355,358,140,439), P(4363,358,139,443), P(4371,358,138,443), P(4379,358,137,443), P(4387,358,136,443), P(4395,358,135,443), P(4403,359,134,447), P(4407,359,133,450), P(4415,359,133,450), P(4454,359,133,454), P(4456,359,133,458), P(4463,359,133,458), P(4467,359,133,454), P(4475,359,133,454), P(4483,359,133,454), P(4491,359,133,454), P(4499,359,133,458), P(4507,359,133,458), P(4515,359,134,462), P(4519,359,134,462), P(4528,359,135,466), P(4535,359,135,470), P(4543,359,136,470), P(4553,359,137,474), P(4578,360,141,478), P(4587,360,144,486), P(4596,361,146,498), P(4603,361,147,501), P(4612,361,149,509), P(4619,361,151,509), P(4629,362,153,513), P(4635,362,155,521), P(4643,362,158,517), P(4647,362,160,521), P(4655,362,163,525), P(4663,362,165,525), P(4673,362,167,525), P(4679,362,170,525), P(4687,362,172,529), P(4697,363,174,529), P(4699,363,176,525), P(4707,363,178,525), P(4715,363,180,529), P(4723,364,182,525), P(4731,364,184,525), P(4739,364,186,525), P(4747,364,188,529), P(4756,364,190,525), P(4759,364,191,529), P(4767,364,193,525), P(4775,364,194,525), P(4783,364,195,525), P(4791,364,197,525), P(4799,364,198,525), P(4807,364,199,529), P(4815,364,200,533), P(4823,364,201,529), P(4827,364,202,533), P(4835,363,203,529), P(4843,363,203,529), P(4851,362,204,529), P(4859,362,204,529), P(4867,361,205,529), P(4875,360,205,529), P(4880,360,206,529), P(4889,359,206,529), P(4897,358,207,529), P(4903,356,207,529), P(4912,355,208,525), P(4919,354,208,525), P(4927,352,208,525), P(4935,350,209,533), P(4939,348,209,529), P(4947,347,210,533), P(4956,345,210,529), P(4964,343,210,529), P(4972,342,211,529), P(4980,340,211,533), P(4987,338,211,533), P(4996,337,212,529), P(4999,335,212,529), P(5007,333,213,529), P(5015,331,213,533), P(5023,328,213,529), P(5031,326,213,529), P(5040,323,214,529), P(5047,321,214,529), P(5056,319,214,529), P(5059,317,214,529), P(5067,316,215,529), P(5075,314,215,529), P(5083,313,216,529), P(5091,312,216,529), P(5099,311,216,533), P(5107,310,217,529), P(5115,309,217,513), P(5119,308,217,474), P(5127,307,216,450), P(5135,306,216,423), P(5143,305,216,411), P(5151,305,215,400), P(5159,304,215,388), P(5167,303,215,380), P(5175,303,215,352), P(5183,302,215,286), P(5187,302,215,152), ], [P(6417,229,218,35), P(6423,228,217,70), P(6423,228,218,164), P(6427,228,218,200), P(6437,228,218,231), P(6439,228,219,266), P(6447,228,219,282), P(6455,228,220,298), P(6463,228,220,321), P(6471,228,221,337), P(6479,228,222,356), P(6487,228,224,372), P(6495,227,225,384), P(6501,227,227,388), P(6507,227,230,396), P(6516,227,232,400), P(6523,227,235,400), P(6547,227,243,403), P(6564,226,248,411), P(6581,226,252,419), P(6598,225,256,423), P(6602,224,258,431), P(6614,224,259,431), P(6634,223,261,435), P(6635,223,261,439), P(6648,223,262,439), P(6664,223,262,439), P(6668,223,262,443), P(6681,222,262,443), P(6698,222,262,439), P(6715,222,263,443), P(6731,222,263,443), P(6748,222,263,439), P(6769,222,263,443), P(6771,222,263,435), P(6779,222,263,435), P(6788,223,263,439), P(6795,223,263,435), P(6800,223,264,435), P(6806,223,264,439), P(6815,223,264,435), P(6823,224,264,435), P(6831,225,264,443), P(6839,226,265,443), P(6847,227,265,439), P(6855,228,266,443), P(6859,230,267,439), P(6870,233,267,443), P(6875,235,268,443), P(6887,238,269,450), P(6891,242,269,454), P(6901,246,270,458), P(6907,250,271,462), P(6918,254,271,470), P(6920,259,272,474), P(6927,265,272,478), P(6936,270,273,486), P(6943,275,273,482), P(6951,280,272,482), 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P(23595,389,172,505), P(23598,389,172,505), P(23607,389,172,505), P(23614,390,172,505), P(23622,390,173,505), P(23630,390,173,505), P(23638,390,173,505), P(23646,390,173,505), P(23654,390,173,505), P(23662,390,173,509), P(23666,390,174,509), P(23677,391,174,509), P(23682,391,175,509), P(23693,392,176,509), P(23698,392,177,509), P(23707,393,178,509), P(23714,394,179,509), P(23718,394,180,509), P(23728,395,180,509), P(23734,396,181,509), P(23745,397,182,509), P(23750,398,183,509), P(23762,399,184,509), P(23766,400,185,509), P(23777,402,187,509), P(23778,403,188,517), P(23786,405,190,509), P(23794,407,191,513), P(23802,410,192,513), P(23812,413,193,513), P(23818,416,193,513), P(23829,419,193,513), P(23830,422,193,513), P(23838,425,192,513), P(23846,428,192,513), P(23854,431,191,513), P(23862,434,190,513), P(23870,436,189,513), P(23879,439,188,513), P(23886,441,186,513), P(23896,443,185,513), P(23898,445,183,513), P(23907,447,182,513), P(23914,449,180,513), P(23922,450,179,513), 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P(24266,457,178,525), P(24274,457,178,525), P(24282,457,178,521), P(24290,457,178,521), P(24298,457,178,521), P(24306,457,178,521), P(24312,457,179,521), P(24318,457,179,521), P(24330,457,179,521), P(24334,457,179,521), P(24346,457,179,521), P(24350,456,179,521), P(24359,456,180,525), P(24366,455,180,521), P(24370,455,180,521), P(24379,455,180,521), P(24386,454,181,525), P(24396,454,181,521), P(24402,454,181,521), P(24413,454,181,521), P(24418,454,182,525), P(24430,454,182,521), P(24431,454,183,521), P(24439,453,183,521), P(24446,453,184,521), P(24455,453,185,521), P(24463,452,186,525), P(24470,452,188,533), P(24480,452,191,533), P(24487,451,195,533), P(24490,451,198,533), P(24498,451,202,533), P(24506,451,206,533), P(24514,451,209,537), P(24522,451,212,537), P(24530,451,215,541), P(24538,451,217,552), P(24546,452,220,556), P(24554,452,223,560), P(24558,452,226,560), P(24566,453,230,564), P(24574,453,233,564), P(24582,453,236,560), P(24590,454,239,560), P(24598,454,241,560), P(24606,455,244,560), P(24614,455,245,560), P(24618,456,246,560), P(24630,456,247,560), P(24634,457,248,560), P(24642,457,248,560), P(24650,457,248,560), P(24659,457,248,560), P(24666,457,248,560), P(24670,457,248,560), P(24692,457,248,564), P(24709,457,248,564), P(24729,457,248,568), P(24730,457,248,572), P(24738,457,248,572), P(24748,457,248,572), P(24754,457,248,572), P(24763,457,248,576), P(24770,457,248,576), P(24779,457,248,580), P(24786,457,248,584), P(24790,457,248,584), P(24798,457,248,588), P(24806,457,248,588), P(24815,457,248,588), P(24822,457,248,588), P(24832,457,248,588), P(24838,457,248,588), P(24846,457,248,592), P(24850,457,248,588), P(24858,457,248,588), P(24867,456,248,588), P(24874,456,248,588), P(24883,456,248,588), P(24890,456,248,588), P(24898,456,248,588), P(24906,456,248,588), P(24911,456,248,588), P(24918,456,248,588), P(24926,456,248,588), P(24934,455,248,588), P(24943,455,248,588), P(24950,455,248,588), P(24958,454,248,592), P(24966,454,248,588), 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P(25649,427,254,572), P(25654,427,255,509), P(25666,427,256,431), P(25670,427,257,250), ], [P(33051,92,195,31), P(33058,92,197,74), P(33066,91,198,101), P(33070,91,199,133), P(33078,91,200,160), P(33088,91,200,184), P(33094,90,201,211), P(33103,90,202,231), P(33110,90,203,250), P(33118,90,205,266), P(33126,89,206,282), P(33130,89,208,298), P(33137,89,211,317), P(33146,88,213,333), P(33154,88,216,349), P(33162,88,219,352), P(33170,88,223,360), P(33178,89,226,364), P(33186,90,230,368), P(33190,91,233,372), P(33199,92,236,376), P(33206,93,239,380), P(33216,94,241,380), P(33222,95,244,380), P(33230,97,246,380), P(33238,98,248,384), P(33246,99,250,380), P(33252,100,251,384), P(33258,101,253,384), P(33267,103,254,380), P(33274,104,255,380), P(33284,104,256,384), P(33290,105,257,380), P(33300,106,258,384), P(33306,106,258,384), P(33310,106,258,384), P(33320,106,258,384), P(33326,106,258,384), P(33334,106,258,384), P(33342,106,258,388), P(33350,106,258,388), P(33358,106,258,388), 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P(34378,155,190,443), P(34388,155,190,450), P(34390,155,189,450), P(34398,155,188,450), P(34406,154,187,450), P(34414,154,186,450), P(34422,153,186,450), P(34430,153,185,450), P(34438,152,184,450), P(34446,152,184,450), P(34450,151,183,450), P(34458,151,182,450), P(34466,150,182,450), P(34474,150,181,450), P(34482,149,181,450), P(34490,149,180,450), P(34498,149,180,450), P(34506,148,179,450), P(34509,148,179,450), P(34521,147,178,450), P(34526,147,178,450), P(34538,147,178,450), P(34542,147,177,454), P(34550,146,177,454), P(34558,146,177,454), P(34566,146,177,454), P(34571,145,177,454), P(34577,145,176,454), P(34588,145,176,454), P(34594,145,176,454), P(34603,144,176,454), P(34610,144,176,454), P(34621,144,176,454), P(34626,144,176,454), P(34630,144,176,454), P(34638,144,176,454), P(34646,144,176,454), P(34655,144,176,454), P(34662,144,176,454), P(34672,144,176,454), P(34678,144,176,454), P(34687,144,176,454), P(34690,144,176,454), P(34698,144,176,454), P(34710,144,176,454), 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P(35050,143,176,458), P(35058,143,177,458), P(35066,143,178,458), P(35074,142,179,458), P(35082,142,180,454), P(35090,141,181,454), P(35098,141,182,454), P(35106,140,183,454), P(35110,140,184,454), P(35118,139,185,454), P(35126,138,186,454), P(35134,137,187,454), P(35142,136,189,454), P(35150,135,190,454), P(35158,133,191,454), P(35166,131,193,454), P(35172,130,194,454), P(35178,128,195,454), P(35189,126,196,454), P(35194,124,197,454), P(35205,122,198,454), P(35210,120,199,454), P(35221,118,200,454), P(35225,116,200,454), P(35229,114,200,454), P(35238,112,201,450), P(35246,110,201,454), P(35256,108,201,454), P(35262,106,202,454), P(35273,105,202,454), P(35278,103,202,454), P(35289,102,202,454), P(35290,101,203,454), P(35298,100,203,454), P(35306,99,203,450), P(35314,98,203,450), P(35322,96,202,450), P(35330,95,202,450), P(35339,94,202,450), P(35346,93,201,443), P(35350,92,201,435), P(35357,92,201,407), P(35366,91,200,372), P(35374,91,200,325), P(35382,90,200,239), P(35390,90,200,27), 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P(37146,156,280,505), P(37149,156,280,494), P(37159,156,280,466), P(37166,156,280,435), P(37175,156,280,388), P(37182,156,280,298), P(37192,156,280,141), ], [P(38151,113,196,3), P(38178,114,195,152), P(38186,114,194,184), P(38196,114,194,223), P(38202,114,194,239), P(38214,114,194,254), P(38218,114,193,270), P(38226,114,193,282), P(38230,115,192,286), P(38238,116,191,298), P(38247,117,190,301), P(38254,117,190,313), P(38264,118,189,317), P(38270,119,188,317), P(38281,120,187,321), P(38286,120,187,329), P(38289,121,187,341), P(38298,121,186,341), P(38306,121,186,356), P(38314,122,186,360), P(38321,122,187,372), P(38331,123,187,376), P(38338,123,188,380), P(38348,124,188,380), P(38350,124,189,380), P(38358,125,189,384), P(38366,125,190,384), P(38374,125,190,384), P(38382,126,190,384), P(38390,126,190,388), P(38398,126,190,388), P(38406,126,191,392), P(38410,127,192,396), P(38417,127,193,392), P(38426,128,195,396), P(38434,129,196,388), P(38442,129,198,388), P(38449,130,199,360), P(38458,131,199,243), ], [P(39643,419,188,7), P(39834,419,187,403), P(39842,419,187,407), P(39850,419,186,411), P(39858,420,186,411), P(39871,421,185,411), P(39875,421,185,411), P(39882,422,185,411), P(39889,422,184,411), P(39893,423,184,415), P(39902,423,184,419), P(39909,423,185,423), P(39918,423,185,427), P(39925,423,186,431), P(39933,424,187,431), P(39941,424,188,431), P(39950,424,189,431), P(39954,425,189,431), P(39961,425,190,435), P(39969,425,190,435), P(39978,425,190,439), P(39986,425,190,439), P(39993,425,191,439), P(40003,425,191,439), P(40010,425,191,439), P(40014,426,191,439), P(40022,426,191,443), P(40030,426,191,439), P(40038,426,191,443), P(40046,426,191,439), P(40054,426,191,435), P(40062,426,191,415), P(40067,426,191,349), P(40073,426,191,219), ], [P(42627,215,396,31), P(42702,214,395,282), P(42705,214,395,301), P(42714,213,395,309), P(42722,213,395,321), P(42730,213,394,333), P(42746,212,394,337), P(42753,211,394,352), P(42761,211,394,360), P(42775,210,393,372), P(42782,209,393,400), P(42791,209,393,411), P(42797,208,394,419), P(42806,207,394,423), P(42813,205,395,431), P(42824,204,396,439), P(42826,203,397,454), P(42833,201,398,462), P(42842,200,399,470), P(42849,198,400,482), P(42857,197,402,486), P(42865,195,404,494), P(42874,194,405,501), P(42881,192,407,505), P(42887,191,409,509), P(42893,190,411,517), P(42908,189,412,521), P(42909,189,414,521), P(42918,189,415,521), P(42926,188,416,525), P(42933,188,417,525), P(42941,188,418,529), P(42945,188,418,533), P(42954,188,419,537), P(42961,188,419,541), P(42970,188,419,549), P(42977,187,420,552), P(42987,187,420,556), P(42994,187,421,556), P(43003,187,421,556), P(43007,186,422,556), P(43014,186,422,556), P(43022,186,423,556), P(43029,186,423,556), P(43041,186,423,556), P(43045,186,424,556), P(43054,186,424,556), P(43061,186,424,556), P(43065,186,425,560), P(43075,186,425,560), P(43081,186,425,560), P(43090,186,426,560), P(43097,185,426,560), P(43107,185,427,560), P(43114,185,427,560), 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P(43806,246,405,533), P(43810,245,403,529), P(43817,245,401,529), P(43826,244,399,533), P(43833,244,398,533), P(43843,243,397,537), P(43845,243,396,537), P(43860,243,396,537), P(43861,243,396,537), P(43873,243,396,533), P(43878,243,396,505), P(43889,243,396,431), P(43894,243,396,274), ], [P(44326,277,387,39), P(44334,276,388,109), P(44342,276,389,188), P(44350,276,389,231), P(44358,276,389,262), P(44366,275,389,282), P(44374,275,389,298), P(44381,275,389,321), P(44385,275,390,337), P(44396,275,390,364), P(44401,274,391,388), P(44411,274,392,419), P(44417,274,393,443), P(44429,274,395,466), P(44433,275,397,482), P(44441,275,398,498), P(44445,276,401,505), P(44454,276,403,509), P(44462,277,405,509), P(44470,278,407,509), P(44479,278,409,517), P(44486,279,411,513), P(44496,280,412,517), P(44501,281,414,513), P(44505,281,415,517), P(44513,282,416,509), P(44522,283,417,509), P(44530,284,417,509), P(44537,285,418,513), P(44545,285,419,513), P(44554,286,420,513), P(44563,287,421,517), 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Python

zbx_dashboard/__init__.py

banzayats/zbx-dashboard

813dc5a5db4ec86dfeddb1e81b34fa2539768898

[ "MIT" ]

8

2015-07-15T17:27:47.000Z

2017-05-25T23:58:18.000Z

zbx_dashboard/__init__.py

banzayats/zbx-dashboard

813dc5a5db4ec86dfeddb1e81b34fa2539768898

[ "MIT" ]

1

2016-08-01T13:01:56.000Z

zbx_dashboard/__init__.py

banzayats/zbx-dashboard

813dc5a5db4ec86dfeddb1e81b34fa2539768898

[ "MIT" ]

12

2015-03-22T18:20:52.000Z

2020-11-01T09:11:09.000Z

default_app_config = 'zbx_dashboard.apps.ZbxDashboardConfig'

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Python

CIM14/IEC61968/PaymentMetering/__init__.py

MaximeBaudette/PyCIM

d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14

[ "MIT" ]

58

2015-04-22T10:41:03.000Z

2022-03-29T16:04:34.000Z

CIM14/IEC61968/PaymentMetering/__init__.py

MaximeBaudette/PyCIM

d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14

[ "MIT" ]

12

2015-08-26T03:57:23.000Z

2020-12-11T20:14:42.000Z

CIM14/IEC61968/PaymentMetering/__init__.py

MaximeBaudette/PyCIM

d68ee5ccfc1d32d44c5cd09fb173142fb5ff4f14

[ "MIT" ]

35

2015-01-10T12:21:03.000Z

2020-09-09T08:18:16.000Z

# Copyright (C) 2010-2011 Richard Lincoln # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to # deal in the Software without restriction, including without limitation the # rights to use, copy, modify, merge, publish, distribute, sublicense, and/or # sell copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING # FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS # IN THE SOFTWARE. """This package contains only diagrams, drawn by hand from PaymentMetering-related XSDs that are in Part 9 document. Entry points into the schema are filled with green. Non-used associations are light grey. """ from CIM14.IEC61968.PaymentMetering.ServiceSupplier import ServiceSupplier from CIM14.IEC61968.PaymentMetering.Shift import Shift from CIM14.IEC61968.PaymentMetering.Tender import Tender from CIM14.IEC61968.PaymentMetering.TariffProfile import TariffProfile from CIM14.IEC61968.PaymentMetering.ConsumptionTariffInterval import ConsumptionTariffInterval from CIM14.IEC61968.PaymentMetering.BankAccountDetail import BankAccountDetail from CIM14.IEC61968.PaymentMetering.Cheque import Cheque from CIM14.IEC61968.PaymentMetering.CashierShift import CashierShift from CIM14.IEC61968.PaymentMetering.Due import Due from CIM14.IEC61968.PaymentMetering.AccountingUnit import AccountingUnit from CIM14.IEC61968.PaymentMetering.Card import Card from CIM14.IEC61968.PaymentMetering.AuxiliaryAccount import AuxiliaryAccount from CIM14.IEC61968.PaymentMetering.MerchantAgreement import MerchantAgreement from CIM14.IEC61968.PaymentMetering.LineDetail import LineDetail from CIM14.IEC61968.PaymentMetering.Transactor import Transactor from CIM14.IEC61968.PaymentMetering.MerchantAccount import MerchantAccount from CIM14.IEC61968.PaymentMetering.Vendor import Vendor from CIM14.IEC61968.PaymentMetering.Transaction import Transaction from CIM14.IEC61968.PaymentMetering.Charge import Charge from CIM14.IEC61968.PaymentMetering.VendorShift import VendorShift from CIM14.IEC61968.PaymentMetering.TimeTariffInterval import TimeTariffInterval from CIM14.IEC61968.PaymentMetering.Cashier import Cashier from CIM14.IEC61968.PaymentMetering.PointOfSale import PointOfSale from CIM14.IEC61968.PaymentMetering.Receipt import Receipt from CIM14.IEC61968.PaymentMetering.AuxiliaryAgreement import AuxiliaryAgreement from CIM14.IEC61968.PaymentMetering.AccountMovement import AccountMovement nsURI = "http://iec.ch/TC57/2009/CIM-schema-cim14#PaymentMetering" nsPrefix = "cimPaymentMetering" class ChequeKind(str): """Kind of cheque. Values are: other, postalOrder, bankOrder """ pass class TransactionKind(str): """Kind of transaction. Values are: diversePayment, tokenSalePayment, serviceChargePayment, other, transactionReversal, taxChargePayment, meterConfigurationToken, accountPayment, tokenFreeIssue, tokenExchange, tokenCancellation, tokenGrant, auxiliaryChargePayment """ pass class ChargeKind(str): """Kind of charge. Values are: demandCharge, other, auxiliaryCharge, taxCharge, consumptionCharge """ pass class CreditKind(str): """Kind of credit. Values are: grantCredit, tokenCredit, reserveCredit, other, advanceCredit, lifelineCredit """ pass class SupplierKind(str): """Kind of supplier. Values are: retailer, utility, other """ pass class TenderKind(str): """Kind of tender. Values are: cash, unspecified, card, other, cheque """ pass

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010a8bb01d3dea2906afd4fb51d613bf5a08db8f

174

py

Python

lib/scrapy/xlib/urlparse_monkeypatches.py

langzeyu/book-crawler

e2d96648384658c7775bd02d94eab086c9ece677

[ "MIT" ]

5

2019-04-02T05:00:03.000Z

2021-04-21T11:03:50.000Z

lib/scrapy/xlib/urlparse_monkeypatches.py

langzeyu/book-crawler

e2d96648384658c7775bd02d94eab086c9ece677

[ "MIT" ]

null

lib/scrapy/xlib/urlparse_monkeypatches.py

langzeyu/book-crawler

e2d96648384658c7775bd02d94eab086c9ece677

[ "MIT" ]

null

from urlparse import urlparse, uses_netloc # workaround for http://bugs.python.org/issue7904 if urlparse('s3://bucket/key').netloc != 'bucket': uses_netloc.append('s3')

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148

py

Python

config.py

jadehaus/UCE-KAIST-Public

423ef618e0ccdd6c3efcba93a43f9cba72cedd44

[ "MIT" ]

6

2022-01-26T04:58:52.000Z

2022-03-21T06:08:35.000Z

config.py

smpak19/UCE-KAIST-Public

55e43859eea1d2b3a93dd5a3163879a1a4c0172e

[ "MIT" ]

null

config.py

smpak19/UCE-KAIST-Public

55e43859eea1d2b3a93dd5a3163879a1a4c0172e

[ "MIT" ]

1

2022-01-18T08:31:41.000Z

# -*- encoding: utf-8 -*- """ Copyright (c) Minu Kim - minu.kim@kaist.ac.kr Templates from AppSeed.us This file is hidden for privacy issues. """

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1

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018aede66cd4f14b3321f39bcf7678e108a23ef0

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py

Python

parlai/agents/AdaND/custom_LSTM.py

hengyicai/AdaND

5e3fefb1cf40c42215a37246efc64958ae6db005

[ "MIT" ]

9

2020-01-17T09:34:00.000Z

2021-11-19T07:46:52.000Z

parlai/agents/AdaND/custom_LSTM.py

hengyicai/AdaND

5e3fefb1cf40c42215a37246efc64958ae6db005

[ "MIT" ]

5

2019-12-29T07:52:39.000Z

2022-03-12T00:10:03.000Z

parlai/agents/AdaND/custom_LSTM.py

hengyicai/AdaND

5e3fefb1cf40c42215a37246efc64958ae6db005

[ "MIT" ]

2

2020-01-28T01:41:52.000Z

2020-12-27T07:22:07.000Z

"""Implementation of customized LSTM.""" import copy import numbers import warnings import torch import torch.nn.functional as F from torch import nn from torch.nn import init from torch.nn.parameter import Parameter from torch.nn.utils.rnn import PackedSequence from parlai.agents.AdaND.utils import reverse, FeedForward class LayerNorm(nn.Module): def __init__(self, normalized_shape): super(LayerNorm, self).__init__() if isinstance(normalized_shape, numbers.Integral): normalized_shape = (normalized_shape,) normalized_shape = torch.Size(normalized_shape) # XXX: This is true for our LSTM / NLP use case and helps simplify code assert len(normalized_shape) == 1 self.weight = Parameter(torch.ones(normalized_shape)) self.bias = Parameter(torch.zeros(normalized_shape)) self.normalized_shape = normalized_shape @staticmethod def compute_layernorm_stats(input_): mu = input_.mean(-1, keepdim=True) sigma = input_.std(-1, keepdim=True, unbiased=False) return mu, sigma def forward(self, input_): # noinspection PyTypeChecker mu, sigma = self.compute_layernorm_stats(input_) return (input_ - mu) / sigma * self.weight + self.bias class AdaptiveNorm(nn.Module): def __init__(self, adaptive_input_size, adaptive_hidden_size, hidden_size): super(AdaptiveNorm, self).__init__() self.adaptive_input_size = adaptive_input_size self.zw_linear = nn.Linear(adaptive_hidden_size, adaptive_input_size) self.alpha_linear = nn.Linear(adaptive_input_size, hidden_size, bias=False) self.reset_parameters() def reset_parameters(self): init.constant_(self.zw_linear.weight.data, 0.00) init.constant_(self.zw_linear.bias.data, 1.0) # init.constant_(self.zw_linear.bias.data, 0.00) init.constant_(self.alpha_linear.weight.data, 0.1 / self.adaptive_input_size) # init.constant_(self.alpha_linear.weight.data, 0.01 / self.adaptive_input_size) def forward(self, input_, adaptive_output): zw = self.zw_linear(adaptive_output) alpha = self.alpha_linear(zw) result = input_ * alpha return result class AdaptiveBias(nn.Module): def __init__(self, adaptive_input_size, adaptive_hidden_size, hidden_size): super(AdaptiveBias, self).__init__() self.zb_linear = nn.Linear(adaptive_hidden_size, adaptive_input_size, bias=False) self.beta_linear = nn.Linear(adaptive_input_size, hidden_size, bias=False) self.reset_parameters() def reset_parameters(self): init.normal_(self.zb_linear.weight.data, 0, 0.01) init.constant_(self.beta_linear.weight.data, 0.00) def forward(self, input_, adaptive_output): zb = self.zb_linear(adaptive_output) beta = self.beta_linear(zb) result = input_ + beta return result class LSTMCell(nn.Module): def __init__(self, input_size, hidden_size): super(LSTMCell, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.weight_ih = Parameter(torch.FloatTensor(4 * hidden_size, input_size)) self.weight_hh = Parameter(torch.FloatTensor(4 * hidden_size, hidden_size)) self.bias_ih = Parameter(torch.FloatTensor(4 * hidden_size)) self.bias_hh = Parameter(torch.FloatTensor(4 * hidden_size)) self.reset_parameters() def reset_parameters(self): init.orthogonal_(self.weight_ih.data) weight_hh_data = torch.eye(self.hidden_size) weight_hh_data = weight_hh_data.repeat(4, 1) with torch.no_grad(): self.weight_hh.set_(weight_hh_data) init.constant_(self.bias_ih.data, val=0) init.constant_(self.bias_hh.data, val=0) def forward(self, input_, state, *context): # (Tensor, Tuple[Tensor, Tensor]) -> Tuple[Tensor, Tuple[Tensor, Tensor]] hx, cx = state gates = (torch.mm(input_, self.weight_ih.t()) + self.bias_ih + torch.mm(hx, self.weight_hh.t()) + self.bias_hh) ingate, forgetgate, cellgate, outgate = gates.chunk(4, 1) ingate = torch.sigmoid(ingate) forgetgate = torch.sigmoid(forgetgate) cellgate = torch.tanh(cellgate) outgate = torch.sigmoid(outgate) cy = (forgetgate * cx) + (ingate * cellgate) hy = outgate * torch.tanh(cy) return hy, (hy, cy) class LayerNormLSTMCell(nn.Module): def __init__(self, input_size, hidden_size, dropout: float = 0, decompose_layernorm=False): super(LayerNormLSTMCell, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.weight_ih = Parameter(torch.randn(4 * hidden_size, input_size)) self.weight_hh = Parameter(torch.randn(4 * hidden_size, hidden_size)) # The layernorms provide learnable biases if decompose_layernorm: ln = LayerNorm else: ln = nn.LayerNorm self.layernorm_i = ln(4 * hidden_size) self.layernorm_h = ln(4 * hidden_size) self.layernorm_c = ln(hidden_size) self.dropout_layer = nn.Dropout(dropout) self.reset_parameters() def reset_parameters(self): init.orthogonal_(self.weight_ih.data) # init.orthogonal_(self.weight_hh.data) weight_hh_data = torch.eye(self.hidden_size) weight_hh_data = weight_hh_data.repeat(4, 1) with torch.no_grad(): self.weight_hh.set_(weight_hh_data) def forward(self, input_, state, *context): # (Tensor, Tuple[Tensor, Tensor]) -> Tuple[Tensor, Tuple[Tensor, Tensor]] hx, cx = state igates = self.layernorm_i(torch.mm(input_, self.weight_ih.t())) hgates = self.layernorm_h(torch.mm(hx, self.weight_hh.t())) gates = igates + hgates ingate, forgetgate, cellgate, outgate = gates.chunk(4, 1) ingate = torch.sigmoid(ingate) forgetgate = torch.sigmoid(forgetgate) cellgate = self.dropout_layer(torch.tanh(cellgate)) outgate = torch.sigmoid(outgate) cy = self.layernorm_c((forgetgate * cx) + (ingate * cellgate)) hy = outgate * torch.tanh(cy) return hy, (hy, cy) class TopicAdaptiveLSTMCell(nn.Module): def __init__(self, input_size, hidden_size, num_topics=3, dropout: float = 0, ensemble_factors=128, decompose_layernorm=False, ): super(TopicAdaptiveLSTMCell, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.num_topics = num_topics self.ensemble_factors = ensemble_factors self.weight_ih_a = Parameter(torch.randn(4 * hidden_size, self.ensemble_factors)) self.weight_ih_b = Parameter(torch.randn(self.ensemble_factors, num_topics)) self.weight_ih_c = Parameter(torch.randn(self.ensemble_factors, input_size)) self.weight_hh_a = Parameter(torch.randn(4 * hidden_size, self.ensemble_factors)) self.weight_hh_b = Parameter(torch.randn(ensemble_factors, num_topics)) self.weight_hh_c = Parameter(torch.randn(self.ensemble_factors, hidden_size)) self.theta_trans_ih = nn.Linear(self.num_topics, self.num_topics) self.theta_trans_hh = nn.Linear(self.num_topics, self.num_topics) if decompose_layernorm: ln = LayerNorm else: ln = nn.LayerNorm self.layernorm_i = ln(4 * hidden_size) self.layernorm_h = ln(4 * hidden_size) self.layernorm_c = ln(hidden_size) self.dropout_layer = nn.Dropout(dropout) self.reset_parameters() def reset_parameters(self): init.orthogonal_(self.weight_ih_a.data) # init.orthogonal_(self.weight_ih_b.data) init.constant_(self.weight_ih_b.data, 0.1 / self.num_topics) init.orthogonal_(self.weight_ih_c.data) init.normal_(self.weight_hh_a.data, 0, 0.1) # init.orthogonal_(self.weight_hh_a.data) # init.normal_(self.weight_hh_b.data, 0, 0.1) init.constant_(self.weight_hh_b.data, 0.1 / self.num_topics) init.normal_(self.weight_hh_c.data, 0, 0.1) # init.orthogonal_(self.weight_hh_c.data) init.constant_(self.theta_trans_ih.weight.data, 0.00) init.constant_(self.theta_trans_ih.bias.data, 1.0) init.constant_(self.theta_trans_hh.weight.data, 0.00) init.constant_(self.theta_trans_hh.bias.data, 1.0) # weight_hh_data = torch.eye(self.hidden_size) # weight_hh_data = weight_hh_data.repeat(self.num_topics * 4, 1) # with torch.no_grad(): # self.weight_hh.set_(weight_hh_data) def ensemble_operate(self, input_, hx, topic_w): # batch_w_ih = torch.mm(topic_w, self.weight_ih.view(self.num_topics, -1)).view( # -1, 4 * self.hidden_size, self.input_size # ) # bsz, 4h, input_size # igates = torch.bmm(batch_w_ih, input_.view(-1, self.input_size, 1)).view(-1, 4 * self.hidden_size) input_x_ih_c_t = torch.mm(input_, self.weight_ih_c.t()) igates = torch.mm( input_x_ih_c_t * torch.mm(self.weight_ih_b, self.theta_trans_ih(topic_w).t()).t(), self.weight_ih_a.t() ) # directly use the topic_w # igates = torch.mm(input_x_ih_c_t * topic_w, self.weight_ih_a.t()) # igates = self.layernorm_i(igates) # batch_w_hh = torch.mm(topic_w, self.weight_hh.view(self.num_topics, -1)).view( # -1, 4 * self.hidden_size, self.hidden_size # ) # bsz, 4h, h # hgates = torch.bmm(batch_w_hh, hx.view(-1, self.hidden_size, 1)).view(-1, 4 * self.hidden_size) hx_x_hh_c_t = torch.mm(hx, self.weight_hh_c.t()) hgates = torch.mm( hx_x_hh_c_t * torch.mm(self.weight_hh_b, self.theta_trans_hh(topic_w).t()).t(), self.weight_hh_a.t() ) # hgates = torch.mm(hx_x_hh_c_t * topic_w, self.weight_hh_a.t()) # hgates = self.layernorm_h(hgates) return igates, hgates def forward(self, input_, state, *context): topic_w = context[0] hx, cx = state igates, hgates = self.ensemble_operate(input_, hx, topic_w) igates = self.layernorm_i(igates) hgates = self.layernorm_h(hgates) gates = igates + hgates ingate, forgetgate, cellgate, outgate = gates.chunk(4, 1) ingate = torch.sigmoid(ingate) forgetgate = torch.sigmoid(forgetgate) cellgate = self.dropout_layer(torch.tanh(cellgate)) outgate = torch.sigmoid(outgate) cy = self.layernorm_c((forgetgate * cx) + (ingate * cellgate)) hy = outgate * torch.tanh(cy) return hy, (hy, cy) class AdaptiveLSTMCell2(nn.Module): def __init__(self, input_size, hidden_size, adaptive_input_size=16, adaptive_hidden_size=128, dropout: float = 0, decompose_layernorm=False): super(AdaptiveLSTMCell2, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.adaptive_input_size = adaptive_input_size self.adaptive_hidden_size = adaptive_hidden_size self.dropout = dropout # self.weight_ih = Parameter(torch.randn(4 * hidden_size, input_size)) # self.weight_hh = Parameter(torch.randn(4 * hidden_size, hidden_size)) # The layernorms provide learnable biases if decompose_layernorm: ln = LayerNorm else: ln = nn.LayerNorm self.layernorm_i = ln(4 * hidden_size) self.layernorm_h = ln(4 * hidden_size) self.layernorm_c = ln(hidden_size) self.dropout_layer = nn.Dropout(dropout) self.adaptive_cell = self.create_adaptive_cell() self.adaptive_w_ih1 = nn.Linear(self.adaptive_hidden_size, self.adaptive_input_size) self.adaptive_w_ih2 = nn.Linear(self.adaptive_input_size, input_size * 4 * hidden_size) self.adaptive_w_hh1 = nn.Linear(self.adaptive_hidden_size, self.adaptive_input_size) self.adaptive_w_hh2 = nn.Linear(self.adaptive_input_size, hidden_size * 4 * hidden_size) self.reset_parameters() def create_adaptive_cell(self): return LayerNormLSTMCell(self.input_size + self.hidden_size, self.adaptive_hidden_size, dropout=self.dropout) def reset_parameters(self): # init.orthogonal_(self.weight_ih.data) # # init.orthogonal_(self.weight_hh.data) # weight_hh_data = torch.eye(self.hidden_size) # weight_hh_data = weight_hh_data.repeat(4, 1) # with torch.no_grad(): # self.weight_hh.set_(weight_hh_data) pass def adaptive_operate(self, input_, hx, cx, adaptive_output): bsz = input_.size(0) adaptive_hidden_ih = self.adaptive_w_ih1(adaptive_output) m_w_ih = self.adaptive_w_ih2(adaptive_hidden_ih) # bsz, input_size * 4 * hidden_size adaptive_hidden_hh = self.adaptive_w_hh1(adaptive_output) m_w_hh = self.adaptive_w_hh2(adaptive_hidden_hh) # bsz, hidden_size * 4 * hidden_size igates = torch.bmm(input_.view(bsz, 1, -1), m_w_ih.view(bsz, -1, 4 * self.hidden_size)).squeeze(dim=1) hgates = torch.bmm(hx.view(bsz, 1, -1), m_w_hh.view(bsz, -1, 4 * self.hidden_size)).squeeze(dim=1) igates = self.layernorm_i(igates) hgates = self.layernorm_h(hgates) gates = igates + hgates ingate, forgetgate, cellgate, outgate = gates.chunk(4, 1) ingate = torch.sigmoid(ingate) forgetgate = torch.sigmoid(forgetgate) cellgate = torch.tanh(cellgate) outgate = torch.sigmoid(outgate) cy = (forgetgate * cx) + (ingate * cellgate) hy = outgate * torch.tanh(cy) return hy, cy def forward(self, input_, state, *context): # (Tensor, Tuple[Tensor, Tensor]) -> Tuple[Tensor, Tuple[Tensor, Tensor]] total_h, total_c = state hx = total_h[:, 0:self.hidden_size] cx = total_c[:, 0:self.hidden_size] adaptive_state = (total_h[:, self.hidden_size:], total_c[:, self.hidden_size:]) adaptive_input = torch.cat([input_, hx], dim=1) adaptive_output, adaptive_new_state = self.adaptive_cell(adaptive_input, adaptive_state) hy, cy = self.adaptive_operate(input_, hx, cx, adaptive_output) adaptive_h, adaptive_c = adaptive_new_state new_total_c = torch.cat([cy, adaptive_c], 1) new_total_h = torch.cat([hy, adaptive_h], 1) return hy, (new_total_h, new_total_c) class AdaptiveLSTMCell(nn.Module): """ AdaptiveLSTM, with Layer Norm and Recurrent Dropout without Memory Loss. https://arxiv.org/abs/1609.09106 """ def __init__(self, input_size, hidden_size, adaptive_input_size=16, adaptive_hidden_size=128, dropout=0.1, decompose_layernorm=False, ada_norm=AdaptiveNorm): super(AdaptiveLSTMCell, self).__init__() self.input_size = input_size self.hidden_size = hidden_size self.adaptive_input_size = adaptive_input_size self.adaptive_hidden_size = adaptive_hidden_size self.dropout = dropout self.weight_ih = Parameter(torch.randn(4 * self.hidden_size, input_size)) self.weight_hh = Parameter(torch.randn(4 * self.hidden_size, self.hidden_size)) self.bias_ih = Parameter(torch.randn(4 * self.hidden_size)) self.bias_hh = Parameter(torch.randn(4 * self.hidden_size)) self.adaptive_norm_scopes = ['ix', 'jx', 'fx', 'ox', 'ih', 'jh', 'fh', 'oh'] self.adaptive_bias_scopes = ['ixb', 'jxb', 'fxb', 'oxb', 'ihb', 'jhb', 'fhb', 'ohb'] for adaptive_norm in self.adaptive_norm_scopes: setattr(self, 'adaptive_norm_' + adaptive_norm, ada_norm(adaptive_input_size, adaptive_hidden_size, self.hidden_size)) for adaptive_bias in self.adaptive_bias_scopes: setattr(self, 'adaptive_bias_' + adaptive_bias, AdaptiveBias(adaptive_input_size, adaptive_hidden_size, self.hidden_size)) # The layernorms provide learnable biases if decompose_layernorm: ln = LayerNorm else: ln = nn.LayerNorm self.layernorm_i = ln(4 * self.hidden_size) self.layernorm_h = ln(4 * self.hidden_size) self.layernorm_c = ln(self.hidden_size) self.dropout_layer = nn.Dropout(dropout) self.adaptive_cell = self.create_adaptive_cell() self.reset_parameters() def create_adaptive_cell(self): return LayerNormLSTMCell(self.input_size + self.hidden_size, self.adaptive_hidden_size, dropout=self.dropout) def reset_parameters(self): if hasattr(self, 'weight_ih'): init.orthogonal_(self.weight_ih.data) if hasattr(self, 'weight_hh'): # init.orthogonal_(self.weight_hh.data) weight_hh_data = torch.eye(self.hidden_size) weight_hh_data = weight_hh_data.repeat(4, 1) with torch.no_grad(): self.weight_hh.set_(weight_hh_data) if hasattr(self, 'bias_ih'): init.constant_(self.bias_ih.data, val=0) if hasattr(self, 'bias_hh'): init.constant_(self.bias_hh.data, val=0) # stdv = 0.01 / math.sqrt(self.hidden_size) # # self.weight_ih.data.uniform_(-stdv, stdv) # self.weight_hh.data.uniform_(-stdv, stdv) def real_adaptive_operate(self, xh, hh, adaptive_output): ix, jx, fx, ox = xh.chunk(4, 1) ix = self.adaptive_norm_ix(ix, adaptive_output) jx = self.adaptive_norm_jx(jx, adaptive_output) fx = self.adaptive_norm_fx(fx, adaptive_output) ox = self.adaptive_norm_ox(ox, adaptive_output) ih, jh, fh, oh = hh.chunk(4, 1) ih = self.adaptive_norm_ih(ih, adaptive_output) jh = self.adaptive_norm_jh(jh, adaptive_output) fh = self.adaptive_norm_fh(fh, adaptive_output) oh = self.adaptive_norm_oh(oh, adaptive_output) ixb, jxb, fxb, oxb = self.bias_ih.chunk(4, 0) ixb = self.adaptive_bias_ixb(ixb, adaptive_output) jxb = self.adaptive_bias_jxb(jxb, adaptive_output) fxb = self.adaptive_bias_fxb(fxb, adaptive_output) oxb = self.adaptive_bias_oxb(oxb, adaptive_output) ihb, jhb, fhb, ohb = self.bias_hh.chunk(4, 0) ihb = self.adaptive_bias_ihb(ihb, adaptive_output) jhb = self.adaptive_bias_jhb(jhb, adaptive_output) fhb = self.adaptive_bias_fhb(fhb, adaptive_output) ohb = self.adaptive_bias_ohb(ohb, adaptive_output) input_gates_i = ix + ixb input_gates_j = jx + jxb input_gates_f = fx + fxb input_gates_o = ox + oxb hidden_gates_i = ih + ihb hidden_gates_j = jh + jhb hidden_gates_f = fh + fhb hidden_gates_o = oh + ohb input_gates = torch.cat( [input_gates_i, input_gates_j, input_gates_f, input_gates_o], dim=1 ) hidden_gates = torch.cat( [hidden_gates_i, hidden_gates_j, hidden_gates_f, hidden_gates_o], dim=1 ) return input_gates, hidden_gates def cell_operate(self, xh, hh, cx): input_gates = xh hidden_gates = hh input_gates = self.layernorm_i(input_gates) hidden_gates = self.layernorm_h(hidden_gates) gates = input_gates + hidden_gates i, j, f, o = gates.chunk(4, 1) ingate = torch.sigmoid(i) forgetgate = torch.sigmoid(f) cellgate = self.dropout_layer(torch.tanh(j)) outgate = torch.sigmoid(o) cy = self.layernorm_c((forgetgate * cx) + (ingate * cellgate)) hy = outgate * torch.tanh(cy) return hy, cy def adaptive_operate(self, input_, hx, cx, adaptive_output): xh = torch.mm(input_, self.weight_ih.t()) hh = torch.mm(hx, self.weight_hh.t()) input_gates, hidden_gates = self.real_adaptive_operate(xh, hh, adaptive_output) return self.cell_operate(input_gates, hidden_gates, cx) def forward(self, input_, state, *context): total_h, total_c = state hx = total_h[:, 0:self.hidden_size] cx = total_c[:, 0:self.hidden_size] adaptive_state = (total_h[:, self.hidden_size:], total_c[:, self.hidden_size:]) adaptive_input = torch.cat([input_, hx], dim=1) adaptive_output, adaptive_new_state = self.adaptive_cell(adaptive_input, adaptive_state) hy, cy = self.adaptive_operate(input_, hx, cx, adaptive_output) adaptive_h, adaptive_c = adaptive_new_state new_total_c = torch.cat([cy, adaptive_c], 1) new_total_h = torch.cat([hy, adaptive_h], 1) return hy, (new_total_h, new_total_c) class ContextAdaptiveLSTMCell(AdaptiveLSTMCell): def create_adaptive_cell(self): return LayerNormLSTMCell(self.hidden_size + self.hidden_size, self.adaptive_hidden_size, dropout=self.dropout) def forward(self, input_, state, *context): context = context[0] total_h, total_c = state hx = total_h[:, 0:self.hidden_size] cx = total_c[:, 0:self.hidden_size] adaptive_state = (total_h[:, self.hidden_size:], total_c[:, self.hidden_size:]) adaptive_input = torch.cat([context, hx], dim=1) adaptive_output, adaptive_new_state = self.adaptive_cell(adaptive_input, adaptive_state) hy, cy = self.adaptive_operate(input_, hx, cx, adaptive_output) adaptive_h, adaptive_c = adaptive_new_state new_total_c = torch.cat([cy, adaptive_c], 1) new_total_h = torch.cat([hy, adaptive_h], 1) return hy, (new_total_h, new_total_c) class ContextAdaptiveLSTMCell2(AdaptiveLSTMCell2): def create_adaptive_cell(self): return LayerNormLSTMCell(self.hidden_size + self.hidden_size, self.adaptive_hidden_size) def forward(self, input_, state, *context): context = context[0] total_h, total_c = state hx = total_h[:, 0:self.hidden_size] cx = total_c[:, 0:self.hidden_size] adaptive_state = (total_h[:, self.hidden_size:], total_c[:, self.hidden_size:]) adaptive_input = torch.cat([context, hx], dim=1) adaptive_output, adaptive_new_state = self.adaptive_cell(adaptive_input, adaptive_state) hy, cy = self.adaptive_operate(input_, hx, cx, adaptive_output) adaptive_h, adaptive_c = adaptive_new_state new_total_c = torch.cat([cy, adaptive_c], 1) new_total_h = torch.cat([hy, adaptive_h], 1) return hy, (new_total_h, new_total_c) class SVDAda(nn.Module): def __init__(self, svd_ada_factors, input_dim, ada_dim, out_dim): super(SVDAda, self).__init__() self.svd_ada_factors = svd_ada_factors self.input_dim = input_dim self.out_dim = out_dim self.ada_dim = ada_dim self.weight_c = Parameter(torch.randn(self.svd_ada_factors, self.input_dim)) self.weight_b = Parameter(torch.randn(self.svd_ada_factors, self.ada_dim)) self.weight_a = Parameter(torch.randn(self.out_dim, self.svd_ada_factors)) self.layernorm = nn.LayerNorm(self.out_dim) def reset_parameters(self): init.orthogonal_(self.weight_a.data) init.orthogonal_(self.weight_c.data) init.constant_(self.weight_b.data, 0.1 / self.ada_dim) def forward(self, input_, ada_tensor): input_X_c = torch.mm(input_, self.weight_c.t()) singular_val = torch.mm(self.weight_b, ada_tensor.t()).t() svd_output = torch.mm(input_X_c * singular_val, self.weight_a.t()) svd_output = self.layernorm(svd_output) return svd_output class ContextTopicAdaptiveLSTMCell(ContextAdaptiveLSTMCell): def __init__(self, input_size, hidden_size, adaptive_input_size=16, adaptive_hidden_size=128, num_topics=3, ensemble_factors=128, dropout: float = 0, decompose_layernorm=False): self.num_topics = num_topics self.ensemble_factors = ensemble_factors self.adaptive_hidden_size = adaptive_hidden_size super().__init__(input_size, hidden_size, adaptive_input_size, self.adaptive_hidden_size, dropout, decompose_layernorm) # ------------------------- SVD adaptation using topic_w ----------------- # self.weight_ih_a = Parameter(torch.randn(4 * hidden_size, self.ensemble_factors)) self.weight_ih_b = Parameter(torch.randn(self.ensemble_factors, num_topics)) self.weight_ih_c = Parameter(torch.randn(self.ensemble_factors, input_size)) self.weight_hh_a = Parameter(torch.randn(4 * hidden_size, self.ensemble_factors)) self.weight_hh_b = Parameter(torch.randn(self.ensemble_factors, num_topics)) self.weight_hh_c = Parameter(torch.randn(self.ensemble_factors, hidden_size)) self.theta_trans_ih = nn.Linear(self.num_topics, self.num_topics) self.theta_trans_hh = nn.Linear(self.num_topics, self.num_topics) TopicAdaptiveLSTMCell.reset_parameters(self) # ------------------------- SVD adaptation using context ------------------ # self.weight_ih_a_c = Parameter(torch.randn(4 * hidden_size, self.adaptive_hidden_size)) self.weight_ih_c_c = Parameter(torch.randn(self.adaptive_hidden_size, input_size)) self.weight_hh_a_c = Parameter(torch.randn(4 * hidden_size, self.adaptive_hidden_size)) self.weight_hh_c_c = Parameter(torch.randn(self.adaptive_hidden_size, hidden_size)) init.orthogonal_(self.weight_ih_a_c.data) init.orthogonal_(self.weight_ih_c_c.data) init.normal_(self.weight_hh_a_c.data, 0, 0.1) init.normal_(self.weight_hh_c_c.data, 0, 0.1) # init.orthogonal_(self.weight_hh_a_c.data) # init.orthogonal_(self.weight_hh_c_c.data) # For gating combination # self.xh_gate = nn.Linear(hidden_size, 4 * hidden_size) self.xh_gate_trans_input = nn.Linear(input_size, 4 * hidden_size) self.xh_gate_trans_topic = nn.Linear(num_topics, 4 * hidden_size) self.xh_gate_trans_context = nn.Linear(self.adaptive_hidden_size, 4 * hidden_size) # self.hh_gate = nn.Linear(hidden_size, 4 * hidden_size) self.hh_gate_trans_input = nn.Linear(hidden_size, 4 * hidden_size) self.hh_gate_trans_topic = nn.Linear(num_topics, 4 * hidden_size) self.hh_gate_trans_context = nn.Linear(self.adaptive_hidden_size, 4 * hidden_size) # init.constant_(self.xh_gate.weight.data, 0.00) # init.constant_(self.xh_gate.bias.data, 1.0) # init.constant_(self.hh_gate.weight.data, 0.00) # init.constant_(self.hh_gate.bias.data, 1.0) # for scope in ['xh', 'hh']: # for name in ['input', 'topic', 'context']: # init.orthogonal_(getattr(self, scope + '_gate_trans_' + name).weight.data) # init.constant_(getattr(self, scope + '_gate_trans_' + name).bias.data, 0) self.gate_trans_layernorm = nn.LayerNorm(4 * hidden_size) # self.gate_trans_layernorm2 = nn.LayerNorm(4 * hidden_size) # self.gate_trans_layernorm3 = nn.LayerNorm(4 * hidden_size) # self.res_layernorm = nn.LayerNorm(4 * hidden_size) # adaptive gating self.xh_gate_trans_svd_ada_topic = SVDAda(ensemble_factors, input_size, num_topics, 4 * hidden_size) self.hh_gate_trans_svd_ada_topic = SVDAda(ensemble_factors, hidden_size, num_topics, 4 * hidden_size) self.xh_gate_trans_svd_ada_context = SVDAda(ensemble_factors, input_size, adaptive_hidden_size, 4 * hidden_size) self.hh_gate_trans_svd_ada_context = SVDAda(ensemble_factors, hidden_size, adaptive_hidden_size, 4 * hidden_size) # For attention combination self.xh_mlp = FeedForward(input_size + 4 * hidden_size, 1, hidden_sizes=(512, 128, 32), dropout=self.dropout) self.hh_mlp = FeedForward(hidden_size + 4 * hidden_size, 1, hidden_sizes=(512, 128, 32), dropout=self.dropout) def svd_ada_gating_fuse(self, topic_res, context_res, input_, adaptive_output, topic_w, mode='xh'): # gating gate = torch.sigmoid( # getattr(self, mode + '_gate')( getattr(self, mode + '_gate_trans_svd_ada_topic')(input_, topic_w) + getattr(self, mode + '_gate_trans_svd_ada_context')(input_, adaptive_output) # ) ) fused_res = gate * topic_res + (1 - gate) * context_res return fused_res def gating_fuse(self, topic_res, context_res, input_, adaptive_output, topic_w, mode='xh'): # gating gate = torch.sigmoid( # getattr(self, mode + '_gate')( self.gate_trans_layernorm(getattr(self, mode + '_gate_trans_input')(input_)) + self.gate_trans_layernorm(getattr(self, mode + '_gate_trans_topic')(topic_w)) + self.gate_trans_layernorm(getattr(self, mode + '_gate_trans_context')(adaptive_output)) # ) ) fused_res = gate * topic_res + (1 - gate) * context_res # naive combine # fused_res = topic_res + context_res # non-linear combine # fused_res = topic_res * context_res + topic_res + context_res # return self.res_layernorm(fused_res) return fused_res def attention_fuse(self, topic_res, context_res, input_, adaptive_output, topic_w, mode='xh'): input_topic_sim = getattr(self, mode + '_mlp')(torch.cat([input_, topic_res], dim=1)) input_context_sim = getattr(self, mode + '_mlp')(torch.cat([input_, context_res], dim=1)) attn_scores = torch.cat([input_topic_sim, input_context_sim], dim=1) # bsz, 2 attn_weights = F.softmax(attn_scores, dim=1) # bsz, 2 topic_context = torch.stack([topic_res, context_res]).transpose(0, 1) # bsz, 2, 4h fused_res = torch.bmm(attn_weights.view(-1, 1, 2), topic_context).squeeze(1) return fused_res def adaptive_operate(self, input_, hx, cx, adaptive_output, topic_w=None): # ------------------------- SVD adaptation using topic_w ----------------- # input_x_ih_c_t = torch.mm(input_, self.weight_ih_c.t()) adaptive_topic_output_xh = torch.mm(self.weight_ih_b, self.theta_trans_ih(topic_w).t()).t() singular_value_xh = adaptive_topic_output_xh # * adaptive_output + adaptive_topic_output_xh + adaptive_output # singular_value_xh = self.dropout_layer(singular_value_xh) topic_svd_xh = torch.mm( input_x_ih_c_t * singular_value_xh, self.weight_ih_a.t() ) # bsz, 4*hiddensize hx_x_hh_c_t = torch.mm(hx, self.weight_hh_c.t()) adaptive_topic_output_hh = torch.mm(self.weight_hh_b, self.theta_trans_hh(topic_w).t()).t() singular_value_hh = adaptive_topic_output_hh # * adaptive_output + adaptive_topic_output_hh + adaptive_output # singular_value_hh = self.dropout_layer(singular_value_hh) topic_svd_hh = torch.mm( hx_x_hh_c_t * singular_value_hh, self.weight_hh_a.t() ) # ------------------------- SVD adaptation using context ------------------ # input_x_ih_c_c_t = torch.mm(input_, self.weight_ih_c_c.t()) context_svd_xh = torch.mm( input_x_ih_c_c_t * adaptive_output, self.weight_ih_a_c.t() ) hx_x_hh_c_c_t = torch.mm(hx, self.weight_hh_c_c.t()) context_svd_hh = torch.mm( hx_x_hh_c_c_t * adaptive_output, self.weight_hh_a_c.t() ) # ------------------------ Right adaptation using context ---------------- # # original_xh = torch.mm(input_, self.weight_ih.t()) # original_hh = torch.mm(hx, self.weight_hh.t()) # context_right_ada_xh, context_right_ada_hh = self.real_adaptive_operate( # original_xh, original_hh, adaptive_output # ) # gating or attention fuse_method = 'gating' xh = getattr(self, fuse_method + '_fuse')( topic_svd_xh, context_svd_xh, input_, adaptive_output, topic_w) hh = getattr(self, fuse_method + '_fuse')( topic_svd_hh, context_svd_hh, hx, adaptive_output, topic_w, mode='hh') return self.cell_operate(xh, hh, cx) def forward(self, input_, state, *context): adaptive_context = context[0] topic_w = context[1] total_h, total_c = state hx = total_h[:, 0:self.hidden_size] cx = total_c[:, 0:self.hidden_size] adaptive_state = (total_h[:, self.hidden_size:], total_c[:, self.hidden_size:]) adaptive_input = torch.cat([adaptive_context, hx], dim=1) adaptive_output, adaptive_new_state = self.adaptive_cell(adaptive_input, adaptive_state) hy, cy = self.adaptive_operate(input_, hx, cx, adaptive_output, topic_w) adaptive_h, adaptive_c = adaptive_new_state new_total_c = torch.cat([cy, adaptive_c], 1) new_total_h = torch.cat([hy, adaptive_h], 1) return hy, (new_total_h, new_total_c) class ContextSVDAdaptiveLSTMCell(ContextAdaptiveLSTMCell): def __init__(self, input_size, hidden_size, adaptive_input_size=16, adaptive_hidden_size=128, dropout: float = 0, decompose_layernorm=False): self.adaptive_hidden_size = adaptive_hidden_size super().__init__(input_size, hidden_size, adaptive_input_size, self.adaptive_hidden_size, dropout, decompose_layernorm) # ------------------------- SVD adaptation using context ------------------ # self.weight_ih_a_c = Parameter(torch.randn(4 * hidden_size, self.adaptive_hidden_size)) self.weight_ih_c_c = Parameter(torch.randn(self.adaptive_hidden_size, input_size)) self.weight_hh_a_c = Parameter(torch.randn(4 * hidden_size, self.adaptive_hidden_size)) self.weight_hh_c_c = Parameter(torch.randn(self.adaptive_hidden_size, hidden_size)) init.orthogonal_(self.weight_ih_a_c.data) init.orthogonal_(self.weight_ih_c_c.data) init.normal_(self.weight_hh_a_c.data, 0, 0.1) init.normal_(self.weight_hh_c_c.data, 0, 0.1) def adaptive_operate(self, input_, hx, cx, adaptive_output): # ------------------------- SVD adaptation using context ------------------ # input_x_ih_c_c_t = torch.mm(input_, self.weight_ih_c_c.t()) context_svd_xh = torch.mm( input_x_ih_c_c_t * adaptive_output, self.weight_ih_a_c.t() ) hx_x_hh_c_c_t = torch.mm(hx, self.weight_hh_c_c.t()) context_svd_hh = torch.mm( hx_x_hh_c_c_t * adaptive_output, self.weight_hh_a_c.t() ) return self.cell_operate(context_svd_xh, context_svd_hh, cx) def forward(self, input_, state, *context): adaptive_context = context[0] total_h, total_c = state hx = total_h[:, 0:self.hidden_size] cx = total_c[:, 0:self.hidden_size] adaptive_state = (total_h[:, self.hidden_size:], total_c[:, self.hidden_size:]) adaptive_input = torch.cat([adaptive_context, hx], dim=1) adaptive_output, adaptive_new_state = self.adaptive_cell(adaptive_input, adaptive_state) hy, cy = self.adaptive_operate(input_, hx, cx, adaptive_output) adaptive_h, adaptive_c = adaptive_new_state new_total_c = torch.cat([cy, adaptive_c], 1) new_total_h = torch.cat([hy, adaptive_h], 1) return hy, (new_total_h, new_total_c) class LSTMLayer(nn.Module): def __init__(self, cell, *cell_args): super(LSTMLayer, self).__init__() self.cell = cell(*cell_args) def forward(self, input_, state, *context): """ @:param input_: Tensor in shape (seq_len, bsz, input_size) @:param state: Tuple of (Tensor:(bsz, hidden_size), Tensor:(bsz, hidden_size)) type: (Tensor, Tuple[Tensor, Tensor]) -> Tuple[Tensor, Tuple[Tensor, Tensor]] """ inputs = input_.unbind(0) outputs = [] for i in range(len(inputs)): out, state = self.cell(inputs[i], state, *context) outputs += [out] return torch.stack(outputs), state class ReverseLSTMLayer(nn.Module): def __init__(self, cell, *cell_args): super(ReverseLSTMLayer, self).__init__() self.cell = cell(*cell_args) def forward(self, input_, state, *context): """ @:param input_: Tensor in shape (seq_len, bsz, input_size) @:param state: Tuple of (Tensor:(bsz, hidden_size), Tensor:(bsz, hidden_size)) type: (Tensor, Tuple[Tensor, Tensor]) -> Tuple[Tensor, Tuple[Tensor, Tensor]] """ inputs = reverse(input_.unbind(0)) outputs = [] for i in range(len(inputs)): out, state = self.cell(inputs[i], state, *context) outputs += [out] return torch.stack(reverse(outputs)), state class BidirLSTMLayer(nn.Module): def __init__(self, cell, *cell_args): super(BidirLSTMLayer, self).__init__() self.directions = nn.ModuleList([ LSTMLayer(cell, *cell_args), ReverseLSTMLayer(cell, *cell_args), ]) def forward(self, input_, states, *context): # (Tensor, List[Tuple[Tensor, Tensor]]) -> Tuple[Tensor, List[Tuple[Tensor, Tensor]]] # List[LSTMState]: [forward LSTMState, backward LSTMState] outputs = [] output_states = [] i = 0 for direction in self.directions: state = states[i] out, out_state = direction(input_, state, *context) outputs += [out] output_states += [out_state] i += 1 return torch.cat(outputs, -1), output_states def init_stacked_lstm(num_layers, layer, first_layer_args, other_layer_args): layers = [layer(*first_layer_args)] + [layer(*other_layer_args) for _ in range(num_layers - 1)] return nn.ModuleList(layers) class StackedLSTM(nn.Module): def __init__(self, num_layers, layer, first_layer_args, other_layer_args, dropout=0.2): super(StackedLSTM, self).__init__() self.layers = init_stacked_lstm(num_layers, layer, first_layer_args, other_layer_args) self.num_layers = num_layers self.dropout_layer = nn.Dropout(dropout) def forward(self, input_, states, *context): # (Tensor, List[Tuple[Tensor, Tensor]]) -> Tuple[Tensor, List[Tuple[Tensor, Tensor]]] # List[LSTMState]: One state per layer output_states = [] output = input_ i = 0 for rnn_layer in self.layers: state = states[i] output, out_state = rnn_layer(output, state, *context) if i < self.num_layers - 1: output = self.dropout_layer(output) output_states += [out_state] i += 1 return output, output_states class StackedLSTM2(nn.Module): def __init__(self, num_layers, layer, first_layer_args, other_layer_args, dropout=0.2): super(StackedLSTM2, self).__init__() self.layers = init_stacked_lstm(num_layers, layer, first_layer_args, other_layer_args) self.num_layers = num_layers self.dropout_layer = nn.Dropout(dropout) def forward(self, input_, states, *context): # (Tensor, List[List[Tuple[Tensor, Tensor]]]) # -> Tuple[Tensor, List[List[Tuple[Tensor, Tensor]]]] # List[List[LSTMState]]: The outer list is for layers, inner list is for directions. output_states = [] output = input_ i = 0 for rnn_layer in self.layers: state = states[i] output, out_state = rnn_layer(output, state, *context) if i < self.num_layers - 1: output = self.dropout_layer(output) output_states += [out_state] i += 1 return output, output_states def flatten_states(states): states = list(zip(*states)) assert len(states) == 2 return [torch.stack(state) for state in states] def double_flatten_states(states): states = flatten_states([flatten_states(inner) for inner in states]) return [hidden.view([-1] + list(hidden.shape[2:])) for hidden in states] class LSTMBase(nn.Module): def __init__(self, cell_type, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False): super().__init__() assert bias, 'Custom LSTM does not support bias==False!' assert 0 <= dropout < 1 if bidirectional: stack_type = StackedLSTM2 layer_type = BidirLSTMLayer dirs = 2 else: stack_type = StackedLSTM layer_type = LSTMLayer dirs = 1 self.dirs = dirs self.num_layers = num_layers self.batch_first = batch_first self.hidden_size = hidden_size self.input_size = input_size self.dropout = dropout if num_layers == 1 and dropout > 0: warnings.warn("dropout lstm adds dropout layers after all but last " "recurrent layer, it expects num_layers greater than " "1, but got num_layers = 1") self.lstm = self._create_lstm(stack_type, layer_type, cell_type) def _create_lstm(self, stack_type, layer_type, cell_type): return stack_type(self.num_layers, layer_type, first_layer_args=[cell_type, self.input_size, self.hidden_size], other_layer_args=[cell_type, self.hidden_size * self.dirs, self.hidden_size], dropout=self.dropout) def forward(self, input_, states=None, *context): is_packed = isinstance(input_, PackedSequence) assert not is_packed # we do not pack the input_ batch_size = input_.size(0) if self.batch_first else input_.size(1) if states is None: if self.dirs == 1: states = input_.new_zeros(self.num_layers, batch_size, self.hidden_size, requires_grad=False) states = (states, states) else: states = input_.new_zeros(self.num_layers, self.dirs, batch_size, self.hidden_size, requires_grad=False) states = (states, states) h, c = states if self.dirs == 2: h = h.view(self.num_layers, self.dirs, batch_size, self.hidden_size) c = c.view(self.num_layers, self.dirs, batch_size, self.hidden_size) states = [[(h[i][0], c[i][0]), (h[i][1], c[i][1])] for i in range(self.num_layers)] else: h = h.view(self.num_layers, batch_size, self.hidden_size) c = c.view(self.num_layers, batch_size, self.hidden_size) states = [(h[i], c[i]) for i in range(self.num_layers)] if self.batch_first: input_ = input_.transpose(0, 1) output, output_states = self.lstm(input_, states, *context) if self.dirs == 1: h_n, c_n = flatten_states(output_states) else: h_n, c_n = double_flatten_states(output_states) if self.batch_first: output = output.transpose(0, 1) return output, (h_n, c_n) class BN_LSTM(LSTMBase): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False): super().__init__(LayerNormLSTMCell, input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional) def _create_lstm(self, stack_type, layer_type, cell_type): return stack_type(self.num_layers, layer_type, first_layer_args=[cell_type, self.input_size, self.hidden_size, self.dropout], other_layer_args=[cell_type, self.hidden_size * self.dirs, self.hidden_size, self.dropout], dropout=self.dropout) class Basic_LSTM(LSTMBase): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False): super().__init__(LSTMCell, input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional) class Adaptive_LSTM(nn.Module): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, adaptive_input_size=16, adaptive_hidden_size=128, cell_type=AdaptiveLSTMCell): super().__init__() assert bias, 'Adaptive_LSTM does not support bias==False!' assert 0 <= dropout < 1 if bidirectional: stack_type = StackedLSTM2 layer_type = BidirLSTMLayer dirs = 2 else: stack_type = StackedLSTM layer_type = LSTMLayer dirs = 1 self.dirs = dirs self.num_layers = num_layers self.batch_first = batch_first self.hidden_size = hidden_size self.input_size = input_size self.dropout = dropout self.adaptive_input_size = adaptive_input_size self.adaptive_hidden_size = adaptive_hidden_size if num_layers == 1 and dropout > 0: warnings.warn("dropout lstm adds dropout layers after all but last " "recurrent layer, it expects num_layers greater than " "1, but got num_layers = 1") self.lstm = self._create_lstm(stack_type, layer_type, cell_type) def _create_lstm(self, stack_type, layer_type, cell_type): return stack_type(self.num_layers, layer_type, first_layer_args=[cell_type, self.input_size, self.hidden_size, self.adaptive_input_size, self.adaptive_hidden_size, self.dropout], other_layer_args=[cell_type, self.hidden_size * self.dirs, self.hidden_size, self.adaptive_input_size, self.adaptive_hidden_size, self.dropout], dropout=self.dropout) def forward(self, input_, states=None, *context): is_packed = isinstance(input_, PackedSequence) assert not is_packed # we do not pack the input_ batch_size = input_.size(0) if self.batch_first else input_.size(1) if states is None: if self.dirs == 1: states = input_.new_zeros(self.num_layers, batch_size, self.hidden_size + self.adaptive_hidden_size, requires_grad=False) states = (states, copy.deepcopy(states)) else: states = input_.new_zeros(self.num_layers, self.dirs, batch_size, self.hidden_size + self.adaptive_hidden_size, requires_grad=False) states = (states, copy.deepcopy(states)) h, c = states if self.dirs == 2: if h.size(-1) == self.hidden_size: h = h.view(self.num_layers, self.dirs, batch_size, self.hidden_size) c = c.view(self.num_layers, self.dirs, batch_size, self.hidden_size) # padding the adaptive_init_hidden adaptive_h = h.new_zeros(self.num_layers, self.dirs, batch_size, self.adaptive_hidden_size, requires_grad=False) h = torch.cat([h, adaptive_h], -1) c = torch.cat([c, copy.deepcopy(adaptive_h)], -1) else: h = h.view(self.num_layers, self.dirs, batch_size, self.hidden_size + self.adaptive_hidden_size) c = c.view(self.num_layers, self.dirs, batch_size, self.hidden_size + self.adaptive_hidden_size) states = [[(h[i][0], c[i][0]), (h[i][1], c[i][1])] for i in range(self.num_layers)] else: if h.size(-1) == self.hidden_size: h = h.view(self.num_layers, batch_size, self.hidden_size) c = c.view(self.num_layers, batch_size, self.hidden_size) adaptive_h = h.new_zeros(self.num_layers, batch_size, self.adaptive_hidden_size, requires_grad=False) h = torch.cat([h, adaptive_h], -1) c = torch.cat([c, copy.deepcopy(adaptive_h)], -1) else: h = h.view(self.num_layers, batch_size, self.hidden_size + self.adaptive_hidden_size) c = c.view(self.num_layers, batch_size, self.hidden_size + self.adaptive_hidden_size) states = [(h[i], c[i]) for i in range(self.num_layers)] if self.batch_first: input_ = input_.transpose(0, 1) output, output_states = self.lstm(input_, states, *context) if self.dirs == 1: h_n, c_n = flatten_states(output_states) else: h_n, c_n = double_flatten_states(output_states) if self.batch_first: output = output.transpose(0, 1) return output, (h_n, c_n) class Adaptive_LSTM2(Adaptive_LSTM): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, adaptive_input_size=16, adaptive_hidden_size=128): super().__init__(input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional, adaptive_input_size, adaptive_hidden_size, cell_type=AdaptiveLSTMCell2) class Context_Adaptive_LSTM(Adaptive_LSTM): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, adaptive_input_size=16, adaptive_hidden_size=128): super().__init__(input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional, adaptive_input_size, adaptive_hidden_size, cell_type=ContextAdaptiveLSTMCell) def forward(self, input_, states=None, *context): assert len(context) == 1, '[ There should be only one element in the context. ]' assert context[0] is not None, '[ context[0] should not be None in the Context_Adaptive_LSTM! ]' assert context[0].size(1) == self.hidden_size, '[ context[0]\'dimension must be hiddensize! ]' return super().forward(input_, states, *context) class Context_SVD_Adaptive_LSTM(Adaptive_LSTM): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, adaptive_input_size=16, adaptive_hidden_size=128): super().__init__(input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional, adaptive_input_size, adaptive_hidden_size, cell_type=ContextSVDAdaptiveLSTMCell) def forward(self, input_, states=None, *context): assert len(context) == 1, '[ There should be only one element in the context. ]' assert context[0] is not None, '[ context[0] should not be None in the Context_SVD_Adaptive_LSTM! ]' assert context[0].size(1) == self.hidden_size, '[ context[0]\'dimension must be hiddensize! ]' return super().forward(input_, states, *context) class Context_Adaptive_LSTM2(Adaptive_LSTM): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, adaptive_input_size=16, adaptive_hidden_size=128): super().__init__(input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional, adaptive_input_size, adaptive_hidden_size, cell_type=ContextAdaptiveLSTMCell2) def forward(self, input_, states=None, *context): assert len(context) == 1, '[ There should be only one element in the context. ]' assert context[0] is not None, '[ context[0] should not be None in the Context_Adaptive_LSTM ! ]' assert context[0].size(1) == self.hidden_size, '[ context[0]\'dimension must be hiddensize ! ]' return super().forward(input_, states, *context) class Topic_Adaptive_LSTM(LSTMBase): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, num_topics=3, ensemble_factors=128): self.num_topics = num_topics self.ensemble_factors = ensemble_factors super().__init__(TopicAdaptiveLSTMCell, input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional) def _create_lstm(self, stack_type, layer_type, cell_type): return stack_type(self.num_layers, layer_type, first_layer_args=[cell_type, self.input_size, self.hidden_size, self.num_topics, self.dropout, self.ensemble_factors], other_layer_args=[cell_type, self.hidden_size * self.dirs, self.hidden_size, self.num_topics, self.dropout, self.ensemble_factors], dropout=self.dropout) class Context_Topic_Adaptive_LSTM(Adaptive_LSTM): def __init__(self, input_size, hidden_size, num_layers=1, bias=True, batch_first=False, dropout=0.2, bidirectional=False, adaptive_input_size=16, adaptive_hidden_size=128, num_topics=3, ensemble_factors=128): self.num_topics = num_topics self.ensemble_factors = ensemble_factors super().__init__(input_size, hidden_size, num_layers, bias, batch_first, dropout, bidirectional, adaptive_input_size, adaptive_hidden_size, cell_type=ContextTopicAdaptiveLSTMCell) def _create_lstm(self, stack_type, layer_type, cell_type): return stack_type(self.num_layers, layer_type, first_layer_args=[cell_type, self.input_size, self.hidden_size, self.adaptive_input_size, self.adaptive_hidden_size, self.num_topics, self.ensemble_factors, self.dropout], other_layer_args=[cell_type, self.hidden_size * self.dirs, self.hidden_size, self.adaptive_input_size, self.adaptive_hidden_size, self.num_topics, self.ensemble_factors, self.dropout], dropout=self.dropout) def forward(self, input_, states=None, *context): assert len(context) >= 2, 'Two arguments (context_repr, theta) are expected!' assert context[1].size(1) == self.num_topics, \ 'theta.size(1) must be equal to {}'.format(self.num_topics) return super().forward(input_, states, *context)

45.017742

118

0.633944

7,274

55,822

4.537668

0.046192

0.079983

0.041143

0.019087

0.799921

0.774472

0.7436

0.714788

0.678402

0.646681

0

0.011565

0.258017

55,822

1,239

119

45.054076

0.78534

0.098187

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0.619261

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0.00224

0.020949

0.002414

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0.090705

false

0.00112

0.011198

0.010078

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0

null

0

1

0

1

0

null

0

4

6dd402bf8b44cf9e5e30459f1fa06b845e521044

816

py

Python

tests/test_film.py

jlcordeiro/letterboxd_crawler

97f97a9a0af65beb84827d6b1fe43991a5ec5aef

[ "MIT" ]

null

tests/test_film.py

jlcordeiro/letterboxd_crawler

97f97a9a0af65beb84827d6b1fe43991a5ec5aef

[ "MIT" ]

null

tests/test_film.py

jlcordeiro/letterboxd_crawler

97f97a9a0af65beb84827d6b1fe43991a5ec5aef

[ "MIT" ]

null

import unittest from lmatch import film class TestFilm(unittest.TestCase): def setUp(self): self.sample_film = film.Film(412, "path_that", "name_this", 5.21) def test_ctor(self): self.assertEqual(self.sample_film.id, 412) self.assertEqual(self.sample_film.name, "name_this") self.assertEqual(self.sample_film.url, "path_that") self.assertEqual(self.sample_film.avg_rate, 5.21) def test_hash(self): self.assertEqual(hash(self.sample_film), 412) def test_eq(self): f1 = film.Film(412, "a", "b", 1.0) f2 = film.Film(411, "a", "b", 1.0) self.assertEqual(True, f1 == self.sample_film) self.assertEqual(False, f2 == self.sample_film) def test_repr(self): self.assertEqual(repr(self.sample_film), "name_this")

32.64

73

0.651961

118

816

4.347458

0.322034

0.175439

0.245614

0.194932

0.226121

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0.207108

816

24

74

34

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0.263158

false

0

0.105263

0

0.421053

0

null

0

1

0

null

0

1

0

1

0

4

6df9f7d802976be3345677197748e6889659534d

180

py

Python

venv/lib/python2.7/site-packages/mailinglogger/tests/__init__.py

RyanHartje/vfarm

47888b1c6a10559692f982667ef891747c4f7294

[ "MIT" ]

null

venv/lib/python2.7/site-packages/mailinglogger/tests/__init__.py

RyanHartje/vfarm

47888b1c6a10559692f982667ef891747c4f7294

[ "MIT" ]

1

2018-02-23T11:26:08.000Z

mailinglogger/tests/__init__.py

cjw296/mailinglogger

1962d66049b96da1e8451ea70c572f783206c1b1

[ "MIT" ]

null

25.714286

53

0.755556

27

180

5.037037

0.888889

0.147059

0

0.025806

0.138889

180

6

54

30

0.851613

0.933333

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

4

097ae4f4ee1f1115e44df29ee0eec29adc39844f

1,073

py

Python

tests/test_view_admin.py

madarou/angular-django

619b8231a74ef1be3233cb0a816c7cbf3bbcdf1b

[ "BSD-2-Clause" ]

42

2015-05-28T14:30:40.000Z

2019-12-21T03:12:38.000Z

tests/test_view_admin.py

madarou/angular-django

619b8231a74ef1be3233cb0a816c7cbf3bbcdf1b

[ "BSD-2-Clause" ]

null

tests/test_view_admin.py

madarou/angular-django

619b8231a74ef1be3233cb0a816c7cbf3bbcdf1b

[ "BSD-2-Clause" ]

21

2015-05-30T16:40:25.000Z

2018-04-08T14:10:49.000Z

from django.test import TestCase from django.core.urlresolvers import reverse class TestSimplePage(TestCase): def test_index(self): resp = self.client.get(reverse('admin_index')) self.assertEqual(resp.status_code, 200) def test_code(self): resp = self.client.get(reverse('admin_blog')) self.assertEqual(resp.status_code, 200) def test_blog(self): resp = self.client.get(reverse('admin_know')) self.assertEqual(resp.status_code, 200) def test_lab(self): resp = self.client.get(reverse('admin_new_know')) self.assertEqual(resp.status_code, 200) def test_about(self): resp = self.client.get(reverse('admin_modify_know', kwargs={'kid': 1})) self.assertEqual(resp.status_code, 200) def test_know(self): resp = self.client.get(reverse('admin_modify_blog', kwargs={'bid': 1})) self.assertEqual(resp.status_code, 200) def test_classify(self): resp = self.client.get(reverse('admin_new_blog')) self.assertEqual(resp.status_code, 200)

32.515152

79

0.673812

143

1,073

4.881119

0.223776

0.070201

0.120344

0.180516

0.76361

0.56447

0.237822

0

0.026682

0.196645

1,073

32

80

33.53125

0.783063

0

0.291667

0

0.092265

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1

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false

0

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0.416667

0

null

0

1

0

1

0

null

0

1

0

4

098617152b5867bc6940cfce525e5c152d41cb36

210

py

Python

examples/zdppy_random/z01_random_str.py

zhangdapeng520/zdppy_random

18ab3d335a4b7c5af60be11813863c22b440b954

[ "MIT" ]

null

examples/zdppy_random/z01_random_str.py

zhangdapeng520/zdppy_random

18ab3d335a4b7c5af60be11813863c22b440b954

[ "MIT" ]

null

examples/zdppy_random/z01_random_str.py

zhangdapeng520/zdppy_random

18ab3d335a4b7c5af60be11813863c22b440b954

[ "MIT" ]

null

from zdppy_random import Random r = Random(debug=True) for _ in range(10): r.log.info(r.random_str(16)) r.log.info(r.random_str(32)) r.log.info(r.random_str(64)) r.log.info(r.random_str(128))

21

33

0.67619

41

210

3.317073

0.439024

0.257353

0.235294

0.264706

0.529412

0

0.062147

0.157143

210

9

34

23.333333

0.706215

0

1

0

false

0

0.142857

0

0.142857

0

null

1

0

1

0

null

0

4

0995c0794f7db094cc21fbe2d04c824c9dc0f88f

171

py

Python

cebulany/resources/excels/blueprint.py

hackerspace-silesia/cebulany-manager

5965c39df15aca77a4a891a134762eb4230cbd51

[ "MIT" ]

4

2019-03-06T20:30:08.000Z

2020-01-23T19:25:20.000Z

cebulany/resources/excels/blueprint.py

hackerspace-silesia/cebulany-manager

5965c39df15aca77a4a891a134762eb4230cbd51

[ "MIT" ]

9

2019-07-06T11:25:50.000Z

2022-01-22T05:18:39.000Z

cebulany/resources/excels/blueprint.py

hackerspace-silesia/cebulany-manager

5965c39df15aca77a4a891a134762eb4230cbd51

[ "MIT" ]

3

2019-10-25T16:55:30.000Z

2019-10-26T19:55:57.000Z

from os import environ from flask import Blueprint URL_PREFIX = environ.get('CEBULANY_APP_URL_PREFIX', '') + '/api/excel' excel_page = Blueprint('excel_page', 'excel')

21.375

70

0.748538

24

171

5.083333

0.583333

0.147541

0

0.122807

171

7

71

24.428571

0.813333

0

0.280702

0.134503

0

1

0

false

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

4

09afc84e6a40a278753ecdb089d7d373f890615c

87

py

Python

phoros/apps.py

Soniawangui/Galerie

1ddc66955c1f13ec46cf4f72a51aa925ae86b9f4

[ "MIT" ]

null

phoros/apps.py

Soniawangui/Galerie

1ddc66955c1f13ec46cf4f72a51aa925ae86b9f4

[ "MIT" ]

7

2020-06-05T21:52:36.000Z

2022-03-11T23:53:36.000Z

phoros/apps.py

Soniakoi/Galerie

1ddc66955c1f13ec46cf4f72a51aa925ae86b9f4

[ "MIT" ]

null

from django.apps import AppConfig class PhorosConfig(AppConfig): name = 'phoros'

14.5

33

0.747126

10

87

6.5

0.9

0

0.172414

87

5

34

17.4

0.902778

0

0.068966

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

09d019c62cf2d16484bca344dbb8d834675696cd

59

py

Python

app.py

kirilenkobm/gleitzsch

a62e9ae7eae9479da7fdc08900e8d0c11b5167c6

[ "MIT" ]

2

2020-09-09T23:36:38.000Z

2020-11-17T17:51:47.000Z

app.py

kirilenkobm/gleitzsch

a62e9ae7eae9479da7fdc08900e8d0c11b5167c6

[ "MIT" ]

2

2019-09-05T21:43:01.000Z

2019-09-05T21:43:51.000Z

app.py

kirilenkobm/pixelartor

cd4a61dfb7fd639e3435b8c3a2164e827397a106

[ "MIT" ]

null

from flask import Flask app = Flask(__name__) import views

14.75

23

0.79661

9

59

4.777778

0.666667

0

0.152542

59

3

24

19.666667

0.86

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

09f1ece94214a5a64c9b4b174bb41a6b88b63d92

57

py

Python

src/inventory/cube.py

soyuka/botty

cc1670ea1db72c5e0ac91685897bf63c89b18896

[ "MIT" ]

351

2021-11-04T23:04:07.000Z

2022-03-31T08:24:45.000Z

src/inventory/cube.py

soyuka/botty

cc1670ea1db72c5e0ac91685897bf63c89b18896

[ "MIT" ]

277

2021-11-05T15:05:12.000Z

2022-03-31T23:02:06.000Z

src/inventory/cube.py

soyuka/botty

cc1670ea1db72c5e0ac91685897bf63c89b18896

[ "MIT" ]

337

2021-11-04T21:37:43.000Z

2022-03-30T10:45:58.000Z

#placeholder, not currently used here (see src/transmute)

57

0.807018

8

57

5.75

1

0

0.105263

57

1

57

0.901961

0.982456

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

4

09f4bdc01730f88c4ea591e1fc06b61eb42a383a

14,388

py

Python

pysnmp/Nortel-MsCarrier-MscPassport-AlarmMIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

11

2021-02-02T16:27:16.000Z

2021-08-31T06:22:49.000Z

pysnmp/Nortel-MsCarrier-MscPassport-AlarmMIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

75

2021-02-24T17:30:31.000Z

2021-12-08T00:01:18.000Z

pysnmp/Nortel-MsCarrier-MscPassport-AlarmMIB.py

agustinhenze/mibs.snmplabs.com

1fc5c07860542b89212f4c8ab807057d9a9206c7

[ "Apache-2.0" ]

10

2019-04-30T05:51:36.000Z

2022-02-16T03:33:41.000Z

# # PySNMP MIB module Nortel-MsCarrier-MscPassport-AlarmMIB (http://snmplabs.com/pysmi) # ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Nortel-MsCarrier-MscPassport-AlarmMIB # Produced by pysmi-0.3.4 at Mon Apr 29 20:19:28 2019 # On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4 # Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15) # OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer") NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues") ConstraintsIntersection, SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ValueSizeConstraint") DateAndTime, DisplayString, Unsigned32, RowPointer = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-StandardTextualConventionsMIB", "DateAndTime", "DisplayString", "Unsigned32", "RowPointer") HexString, Hex, DigitString, AsciiString = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-TextualConventionsMIB", "HexString", "Hex", "DigitString", "AsciiString") mscPassportMIBs, mscPassportTraps = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-UsefulDefinitionsMIB", "mscPassportMIBs", "mscPassportTraps") ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup") MibScalar, MibTable, MibTableRow, MibTableColumn, ObjectIdentity, IpAddress, TimeTicks, MibIdentifier, Counter32, NotificationType, Unsigned32, Gauge32, Counter64, iso, Integer32, ModuleIdentity, Bits, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ObjectIdentity", "IpAddress", "TimeTicks", "MibIdentifier", "Counter32", "NotificationType", "Unsigned32", "Gauge32", "Counter64", "iso", "Integer32", "ModuleIdentity", "Bits", "NotificationType") TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString") alarmMIB = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4)) mscAlarmTrap = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2)) mscMandatoryAlarmInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7)) mscComponentRowPointer = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 1), RowPointer()) if mibBuilder.loadTexts: mscComponentRowPointer.setStatus('mandatory') mscComponentName = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 2), DisplayString()) if mibBuilder.loadTexts: mscComponentName.setStatus('mandatory') mscEventTime = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 3), DateAndTime()) if mibBuilder.loadTexts: mscEventTime.setStatus('mandatory') mscActiveListStatus = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("message", 0), ("set", 1), ("clear", 2)))) if mibBuilder.loadTexts: mscActiveListStatus.setStatus('mandatory') mscSeverity = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("indeterminate", 0), ("critical", 1), ("major", 2), ("minor", 3), ("warning", 4), ("cleared", 5)))) if mibBuilder.loadTexts: mscSeverity.setStatus('mandatory') mscAlarmType = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 6), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8))).clone(namedValues=NamedValues(("communications", 0), ("qualityOfService", 1), ("processing", 2), ("equipment", 3), ("environmental", 4), ("security", 5), ("operator", 6), ("debug", 7), ("unknown", 8)))) if mibBuilder.loadTexts: mscAlarmType.setStatus('mandatory') mscProbableCause = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 21, 22, 23, 24, 25, 26, 27, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 80, 81, 82, 83, 84, 90, 91, 92, 93, 100, 101, 102, 110, 111, 112, 113, 114, 120, 121, 122, 200, 201, 202, 203, 204))).clone(namedValues=NamedValues(("lossOfSignal", 0), ("lossOfFrame", 1), ("framingError", 2), ("localTransmissionError", 3), ("remoteTransmissionError", 4), ("callEstablishmentError", 5), ("degradedSignal", 6), ("commSubsystemFailure", 7), ("commProtocolError", 8), ("lanError", 9), ("dteDceInterfaceError", 10), ("responseTimeExcessive", 20), ("queueSizeExceeded", 21), ("bandwidthReduced", 22), ("retransmissionRateReduced", 23), ("thresholdCrossed", 24), ("performanceDegraded", 25), ("congestion", 26), ("atOrNearCapacity", 27), ("storageCapacityProblem", 40), ("versionMismatch", 41), ("corruptData", 42), ("cpuCyclesLimitExceeded", 43), ("softwareError", 44), ("softwareProgramError", 45), ("softwareProgramTermination", 46), ("fileError", 47), ("outOfMemory", 48), ("underlyingResourceUnavail", 49), ("applicationSubsystemFailure", 50), ("configurationError", 51), ("powerProblem", 60), ("timingProblem", 61), ("processorProblem", 62), ("datasetModemError", 63), ("multiplexorProblem", 64), ("receiverFailure", 65), ("transmitterFailure", 66), ("outputDeviceError", 67), ("inputDeviceError", 68), ("ioDeviceError", 69), ("equipmentFailure", 70), ("adapterError", 71), ("duplicateInfo", 80), ("infoMissing", 81), ("infoModification", 82), ("infoOutOfSequence", 83), ("unexpectedInfo", 84), ("denialOfService", 90), ("outOfService", 91), ("proceduralError", 92), ("otherOperational", 93), ("cableTamper", 100), ("intrusionDetection", 101), ("otherPhysical", 102), ("authenticationFailure", 110), ("breachOfConfidence", 111), ("nonRepudiationFailure", 112), ("unauthorizedAccess", 113), ("otherSecurityService", 114), ("delayedInfo", 120), ("keyExpired", 121), ("outOfHoursActivity", 122), ("operationalCondition", 200), ("debugging", 201), ("unknown", 202), ("inactiveVirtualCircuit", 203), ("networkServerIntervention", 204)))) if mibBuilder.loadTexts: mscProbableCause.setStatus('mandatory') mscNtpIndex = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 8), DigitString().subtype(subtypeSpec=ValueSizeConstraint(8, 8)).setFixedLength(8)) if mibBuilder.loadTexts: mscNtpIndex.setStatus('mandatory') mscCommentData = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 7, 9), AsciiString().subtype(subtypeSpec=ValueSizeConstraint(0, 750))) if mibBuilder.loadTexts: mscCommentData.setStatus('mandatory') mscOptionalAlarmInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8)) mscNotificationID = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 1), Hex()) if mibBuilder.loadTexts: mscNotificationID.setStatus('mandatory') mscLpForHierClear = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 2), RowPointer()) if mibBuilder.loadTexts: mscLpForHierClear.setStatus('mandatory') mscOperatorData = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 3), HexString().subtype(subtypeSpec=ValueSizeConstraint(0, 750))) if mibBuilder.loadTexts: mscOperatorData.setStatus('mandatory') mscPid = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 4), DisplayString().subtype(subtypeSpec=ValueSizeConstraint(0, 25))) if mibBuilder.loadTexts: mscPid.setStatus('mandatory') mscFileName = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 5), DisplayString()) if mibBuilder.loadTexts: mscFileName.setStatus('mandatory') mscFileLineNumber = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 6), Unsigned32()) if mibBuilder.loadTexts: mscFileLineNumber.setStatus('mandatory') mscFileVersion = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 7), DisplayString()) if mibBuilder.loadTexts: mscFileVersion.setStatus('mandatory') mscInternalData = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 8, 8), HexString().subtype(subtypeSpec=ValueSizeConstraint(0, 750))) if mibBuilder.loadTexts: mscInternalData.setStatus('mandatory') mscProvisionalAlarmInfo = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 9)) mscCid = MibScalar((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2, 9, 1), Unsigned32()) if mibBuilder.loadTexts: mscCid.setStatus('mandatory') mscCriticalAlarm = NotificationType((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2) + (0,1)).setObjects(("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentRowPointer"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentName"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscEventTime"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscActiveListStatus"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscSeverity"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscAlarmType"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscProbableCause"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscNtpIndex"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscCommentData")) mscMajorAlarm = NotificationType((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2) + (0,2)).setObjects(("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentRowPointer"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentName"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscEventTime"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscActiveListStatus"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscSeverity"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscAlarmType"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscProbableCause"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscNtpIndex"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscCommentData")) mscMinorAlarm = NotificationType((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2) + (0,3)).setObjects(("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentRowPointer"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentName"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscEventTime"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscActiveListStatus"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscSeverity"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscAlarmType"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscProbableCause"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscNtpIndex"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscCommentData")) mscWarningAlarm = NotificationType((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2) + (0,4)).setObjects(("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentRowPointer"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentName"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscEventTime"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscActiveListStatus"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscSeverity"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscAlarmType"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscProbableCause"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscNtpIndex"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscCommentData")) mscClearedAlarm = NotificationType((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2) + (0,5)).setObjects(("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentRowPointer"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentName"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscEventTime"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscActiveListStatus"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscSeverity"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscAlarmType"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscProbableCause"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscNtpIndex"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscCommentData")) mscIndeterminateAlarm = NotificationType((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 3, 2) + (0,6)).setObjects(("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentRowPointer"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscComponentName"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscEventTime"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscActiveListStatus"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscSeverity"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscAlarmType"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscProbableCause"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscNtpIndex"), ("Nortel-MsCarrier-MscPassport-AlarmMIB", "mscCommentData")) alarmGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 1)) alarmGroupCA = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 1, 1)) alarmGroupCA01 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 1, 1, 2)) alarmGroupCA01A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 1, 1, 2, 2)) alarmNotifications = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 2)) alarmNotificationsGroupCA01A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 2, 1)) alarmCapabilities = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 3)) alarmCapabilitiesCA = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 3, 1)) alarmCapabilitiesCA01 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 3, 1, 2)) alarmCapabilitiesCA01A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 4, 3, 1, 2, 2)) mibBuilder.exportSymbols("Nortel-MsCarrier-MscPassport-AlarmMIB", mscCommentData=mscCommentData, alarmCapabilitiesCA01=alarmCapabilitiesCA01, alarmCapabilitiesCA01A=alarmCapabilitiesCA01A, alarmCapabilities=alarmCapabilities, mscOptionalAlarmInfo=mscOptionalAlarmInfo, alarmNotificationsGroupCA01A=alarmNotificationsGroupCA01A, mscProvisionalAlarmInfo=mscProvisionalAlarmInfo, mscWarningAlarm=mscWarningAlarm, mscAlarmTrap=mscAlarmTrap, alarmCapabilitiesCA=alarmCapabilitiesCA, mscMandatoryAlarmInfo=mscMandatoryAlarmInfo, mscComponentRowPointer=mscComponentRowPointer, mscNtpIndex=mscNtpIndex, alarmGroup=alarmGroup, alarmNotifications=alarmNotifications, mscProbableCause=mscProbableCause, mscMinorAlarm=mscMinorAlarm, mscActiveListStatus=mscActiveListStatus, mscLpForHierClear=mscLpForHierClear, alarmGroupCA01A=alarmGroupCA01A, mscAlarmType=mscAlarmType, mscNotificationID=mscNotificationID, mscFileLineNumber=mscFileLineNumber, mscClearedAlarm=mscClearedAlarm, alarmGroupCA01=alarmGroupCA01, mscFileVersion=mscFileVersion, mscOperatorData=mscOperatorData, mscMajorAlarm=mscMajorAlarm, alarmGroupCA=alarmGroupCA, mscSeverity=mscSeverity, mscComponentName=mscComponentName, mscIndeterminateAlarm=mscIndeterminateAlarm, mscFileName=mscFileName, mscInternalData=mscInternalData, alarmMIB=alarmMIB, mscPid=mscPid, mscCriticalAlarm=mscCriticalAlarm, mscCid=mscCid, mscEventTime=mscEventTime)

191.84

2,258

0.739088

1,598

14,388

6.654568

0.185232

0.012601

0.146699

0.182246

0.471695

0.434738

0.422607

0.409253

0

0.083624

0.084932

14,388

74

2,259

194.432432

0.724062

0.025577

0

0.355506

0.192135

0

1

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false

0.149254

0.134328

0

0.134328

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null

0

1

0

1

0

null

0

1

0

4

61d48f0f2dde68e899475fecd4f28a3dc168cdf9

184

py

Python

Products/PloneGetPaid/generations/r10.py

collective/Products.PloneGetPaid

8a89ce3585315d84221b7ab46bfb28beeefda3b2

[ "ZPL-2.1" ]

2

2019-10-27T22:12:10.000Z

2021-02-17T19:54:55.000Z

Products/PloneGetPaid/generations/r10.py

collective/Products.PloneGetPaid

8a89ce3585315d84221b7ab46bfb28beeefda3b2

[ "ZPL-2.1" ]

1

2017-08-24T11:40:25.000Z

2017-08-24T13:38:45.000Z

Products/PloneGetPaid/generations/r10.py

collective/Products.PloneGetPaid

8a89ce3585315d84221b7ab46bfb28beeefda3b2

[ "ZPL-2.1" ]

2

2016-02-04T09:06:52.000Z

2021-02-17T19:55:02.000Z

""" assign a database version to the getpaid installation for future upgrades. """ def evolve( portal ): # the upgrade framework will take care of upgrading for us pass

18.4

74

0.701087

25

184

5.16

0.92

0

0.23913

184

9

75

20.444444

0.921429

0.717391

0

1

0.5

false

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

112ad9cf44e36f3e3e0be12d003ab19528c433df

432

py

Python

__init__.py

RockFeng0/muiapy

7e88f55767b3bbcb6e3300962f93618ff5abaace

[ "MIT" ]

5

2018-07-09T09:50:17.000Z

2021-12-31T17:14:08.000Z

__init__.py

ayifa/muiapy

7e88f55767b3bbcb6e3300962f93618ff5abaace

[ "MIT" ]

null

__init__.py

ayifa/muiapy

7e88f55767b3bbcb6e3300962f93618ff5abaace

[ "MIT" ]

4

2019-03-22T06:06:15.000Z

2021-12-31T17:14:19.000Z

# encoding:utf-8 __version__ = 3.0 try: from muia import WinWPFDriver except ImportError,e: import sys,os,clr print "Warning: %s. Now Calling the dll..." %e sys.path.append(os.path.abspath(os.path.dirname(__file__))) clr.AddReferenceToFile("muia.dll") clr.AddReferenceToFile("UIAutomationClient.dll") clr.AddReferenceToFile("UIAutomationTypes.dll") from muia import WinWPFDriver

33.230769

64

0.694444

52

432

5.615385

0.615385

0.215753

0.09589

0.178082

0

0.008596

0.19213

432

13

65

33.230769

0.82808

0.032407

0

0.181818

0

0.212346

0.106173

0

null

0

0.363636

null

0.090909

0

null

1

0

1

0

null

0

1

0

1

0

4

114f74d0ff47244d1bbb3ad53221b4593f598c05

30,451

py

Python

networking_vsphere/tests/unit/monitor/test_ovsvapp_monitor.py

Mirantis/vmware-dvs

37b874f9bf40b47d0de231c640367275fb3afb9b

[ "Apache-2.0" ]

8

2015-04-23T15:36:56.000Z

2019-03-06T13:23:28.000Z

networking_vsphere/tests/unit/monitor/test_ovsvapp_monitor.py

Mirantis/vmware-dvs

37b874f9bf40b47d0de231c640367275fb3afb9b

[ "Apache-2.0" ]

1

2016-10-04T13:24:50.000Z

networking_vsphere/tests/unit/monitor/test_ovsvapp_monitor.py

Mirantis/vmware-dvs

37b874f9bf40b47d0de231c640367275fb3afb9b

[ "Apache-2.0" ]

19

2015-09-15T13:25:01.000Z

2019-09-03T08:23:21.000Z

# Copyright (c) 2015 Hewlett-Packard Development Company, L.P. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or 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 copy import datetime import mock from oslo_config import cfg from oslo_serialization import jsonutils from oslo_service import loopingcall from oslo_utils import timeutils from neutron.common import constants from neutron.common import topics from neutron import context as neutron_context from neutron.db import agents_db from neutron import manager from neutron.tests import base from networking_vsphere.common import constants as ovsvapp_const from networking_vsphere.db import ovsvapp_db from networking_vsphere.ml2 import ovsvapp_rpc from networking_vsphere.monitor import ovsvapp_monitor service_opts = [ cfg.IntOpt('api_workers', help=_('Number of separate API worker processes for service. ' 'If not specified, the default is equal to the number ' 'of CPUs available for best performance.')), ] CONF = cfg.CONF CONF.register_opts(service_opts) FAKE_CLUSTER_1 = 'fake_cluster_1' FAKE_CLUSTER_2 = 'fake_cluster_2' FAKE_VCENTER = 'fake_vcenter' FAKE_HOST_1 = 'fake_host_1' FAKE_HOST_2 = 'fake_host_2' def make_active_agent(fake_id, fake_agent_type, config=None): agent_dict = dict(id=fake_id, agent_type=fake_agent_type, host='localhost_' + str(fake_id), heartbeat_timestamp=timeutils.utcnow(), admin_state_up=True, configurations=config) return agent_dict def make_inactive_agent(fake_id, fake_agent_type, delta, config=None): agent_dict = dict(id=fake_id, agent_type=fake_agent_type, host='remotehost_' + str(fake_id), admin_state_up=True, heartbeat_timestamp=(timeutils.utcnow() - datetime. timedelta(delta)), configurations=config) return agent_dict def make_existing_inactive_agent(fake_id, fake_agent_type, delta, config=None): agent_dict = dict(id=fake_id, agent_type=fake_agent_type, host='remotehost_' + str(fake_id), admin_state_up=False, heartbeat_timestamp=(timeutils.utcnow() - datetime. timedelta(delta)), configurations=config) return agent_dict class FakePlugin(agents_db.AgentDbMixin): def get_agents(self, context, filters=None): return class FakeResponse(object): def __init__(self, response): self.response = response def json(self): return jsonutils.loads(self.response) class TestAgentMonitor(base.BaseTestCase): fake_active_agent_list = [] fake_inactive_agent_list = [] fake_other_agent_list = [] fake_active_agent_ids = [] fake_inactive_agent_ids = [] def setUp(self): super(TestAgentMonitor, self).setUp() cfg.CONF.set_default('agent_down_time', 10) cfg.CONF.set_override('core_plugin', "neutron.plugins.ml2.plugin.Ml2Plugin") self.plugin = FakePlugin() self.context = neutron_context.get_admin_context() self.notifier = ovsvapp_rpc.OVSvAppAgentNotifyAPI(topics.AGENT) self.ovsvapp_monitor = ovsvapp_monitor.AgentMonitor() self.ovsvapp_monitor.context = self.context self.ovsvapp_monitor.plugin = self.plugin self.ovsvapp_monitor.notifier = self.notifier self.ovsvapp_monitor.agent_ext_support = True self.LOG = ovsvapp_monitor.LOG def _populate_agent_lists(self, config=None): self.fake_active_agent_list = [] self.fake_active_agent_list.append(make_active_agent( '1111', ovsvapp_const.AGENT_TYPE_OVSVAPP, config)) self.fake_active_agent_list.append(make_active_agent( '2222', ovsvapp_const.AGENT_TYPE_OVSVAPP, config)) self.fake_active_agent_list.append(make_active_agent( '3333', ovsvapp_const.AGENT_TYPE_OVSVAPP, config)) self.fake_inactive_agent_list = [] self.fake_inactive_agent_list.append(make_existing_inactive_agent( '4444', ovsvapp_const.AGENT_TYPE_OVSVAPP, 152, config)) self.fake_inactive_agent_list.append(make_existing_inactive_agent( '5555', ovsvapp_const.AGENT_TYPE_OVSVAPP, 155, config)) self.fake_inactive_agent_list.append(make_inactive_agent( '6666', ovsvapp_const.AGENT_TYPE_OVSVAPP, 52, config)) self.fake_inactive_agent_list.append(make_inactive_agent( '8888', ovsvapp_const.AGENT_TYPE_OVSVAPP, 55, config)) self.fake_other_agent_list = [make_inactive_agent( '7777', constants.AGENT_TYPE_OVS, 52)] self.fake_active_agent_ids = ['1111', '2222', '3333'] self.fake_inactive_agent_ids = ['4444', '5555', '6666', '8888'] def test_initialize_thread(self): notifier = self.ovsvapp_monitor.notifier with mock.patch.object(loopingcall, 'FixedIntervalLoopingCall' ) as call_back_thread, \ mock.patch.object(self.LOG, 'debug') as logger_debug: self.ovsvapp_monitor.initialize_thread(notifier) self.assertTrue(call_back_thread.called) self.assertTrue(logger_debug.called) def test_initialize_thread_exception(self): notifier = self.ovsvapp_monitor.notifier with mock.patch.object(loopingcall, 'FixedIntervalLoopingCall', side_effect=Exception) as call_back_thread, \ mock.patch.object(self.LOG, 'exception') as logger_exception: self.ovsvapp_monitor.initialize_thread(notifier) self.assertTrue(call_back_thread.called) self.assertTrue(logger_exception.called) def test_get_plugin_and_initialize(self): with mock.patch.object(neutron_context, 'get_admin_context', return_value=self.context ) as get_context, \ mock.patch.object(manager.NeutronManager, 'get_plugin', return_value=self.plugin ) as get_plugin, \ mock.patch.object(self.ovsvapp_monitor, '_check_plugin_ext_support' ) as check_ext, \ mock.patch.object(self.LOG, 'exception' ) as logger_call: status = self.ovsvapp_monitor.get_plugin_and_initialize() self.assertTrue(get_context.called) self.assertTrue(get_plugin.called) self.assertTrue(check_ext.called) self.assertTrue(status) self.assertFalse(logger_call.called) def test_get_plugin_and_initialize_exception(self): with mock.patch.object(neutron_context, 'get_admin_context', return_value=self.context ) as get_context, \ mock.patch.object(manager.NeutronManager, 'get_plugin', side_effect=Exception ) as get_plugin, \ mock.patch.object(self.LOG, 'warning') as logger_call: status = self.ovsvapp_monitor.get_plugin_and_initialize() self.assertTrue(get_context.called) self.assertTrue(get_plugin.called) self.assertFalse(status) self.assertTrue(logger_call.called) def test_get_plugin_and_initialize_no_plugin(self): with mock.patch.object(neutron_context, 'get_admin_context', return_value=self.context ) as get_context, \ mock.patch.object(manager.NeutronManager, 'get_plugin', return_value=None ) as get_plugin, \ mock.patch.object(self.LOG, 'exception' ) as logger_call: status = self.ovsvapp_monitor.get_plugin_and_initialize() self.assertTrue(get_context.called) self.assertTrue(get_plugin.called) self.assertFalse(status) self.assertFalse(logger_call.called) def test_get_eligble_ovsvapp_agent(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.inactive_agents = self.fake_inactive_agent_ids self.ovsvapp_monitor.agents = fake_all_agent_list with mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list): chosen_agent = self.ovsvapp_monitor._get_eligible_ovsvapp_agent( FAKE_CLUSTER_1, FAKE_VCENTER) self.assertIsNotNone(chosen_agent) def test_get_eligble_ovsvapp_agent_nothing_available(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} config1 = {'cluster_id': FAKE_CLUSTER_2, 'vcenter_id': FAKE_VCENTER} alien_agent = make_inactive_agent('9999', ovsvapp_const.AGENT_TYPE_OVSVAPP, 52, config1) self._populate_agent_lists(config) self.fake_inactive_agent_list.append(alien_agent) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.inactive_agents = self.fake_inactive_agent_ids self.ovsvapp_monitor.agents = fake_all_agent_list with mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list): chosen_agent = self.ovsvapp_monitor._get_eligible_ovsvapp_agent( FAKE_CLUSTER_2, FAKE_VCENTER) self.assertIsNone(chosen_agent) def test_process_ovsvapp_agent(self): dead_agent = {'configurations': {'esx_host_name': FAKE_HOST_1, 'vcenter_id': FAKE_VCENTER, 'cluster_id': FAKE_CLUSTER_1}, 'host': FAKE_HOST_1, 'id': '1234'} chosen_agent = {'configurations': {'esx_host_name': FAKE_HOST_2, 'vcenter_id': FAKE_VCENTER, 'cluster_id': FAKE_CLUSTER_2}, 'host': FAKE_HOST_2, 'id': '1111'} device_data = {'assigned_agent_host': FAKE_HOST_2, 'esx_host_name': FAKE_HOST_1, 'ovsvapp_agent': 'ovsvapp-' + FAKE_HOST_1, } self.ovsvapp_monitor.active_agents = ['1111'] with mock.patch.object(self.ovsvapp_monitor, '_get_eligible_ovsvapp_agent', return_value=chosen_agent ) as get_eligible_agent, \ mock.patch.object(self.ovsvapp_monitor.notifier, 'device_update' ) as device_update, \ mock.patch.object(self.LOG, 'exception' ) as exception_log, \ mock.patch.object(self.LOG, 'info') as info_log: self.ovsvapp_monitor.process_ovsvapp_agent(dead_agent) self.assertTrue(get_eligible_agent.called) self.assertFalse(exception_log.called) self.assertEqual(info_log.call_count, 2) self.assertEqual(len(self.ovsvapp_monitor.active_agents), 1) device_update.assert_called_with(self.context, device_data, FAKE_CLUSTER_2) def test_process_ovsvapp_agent_no_eligible_agents(self): dead_agent = {'configurations': {'esx_host_name': FAKE_HOST_1, 'vcenter_id': FAKE_VCENTER, 'cluster_id': FAKE_CLUSTER_1}, 'host': FAKE_HOST_1, 'id': '1234'} with mock.patch.object(self.ovsvapp_monitor, '_get_eligible_ovsvapp_agent', return_value=None ) as get_eligible_agent,\ mock.patch.object(ovsvapp_db, 'set_cluster_threshold' ) as set_threshold, \ mock.patch.object(self.ovsvapp_monitor.notifier, 'device_update' ) as device_update, \ mock.patch.object(self.LOG, 'exception' ) as exception_log, \ mock.patch.object(self.LOG, 'info') as info_log, \ mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state' ) as update_db: self.ovsvapp_monitor.process_ovsvapp_agent(dead_agent) self.assertTrue(get_eligible_agent.called) set_threshold.assert_called_with(FAKE_VCENTER, FAKE_CLUSTER_1) self.assertFalse(exception_log.called) self.assertEqual(info_log.call_count, 2) self.assertFalse(device_update.called) self.assertTrue(update_db.called) def test_process_ovsvapp_agent_exception(self): dead_agent = {'configurations': {'esx_host_name': FAKE_HOST_1, 'vcenter_id': FAKE_VCENTER, 'cluster_id': FAKE_CLUSTER_1}, 'host': FAKE_HOST_1, 'id': '1234'} with mock.patch.object(self.ovsvapp_monitor, '_get_eligible_ovsvapp_agent', side_effect=Exception)as get_eligible_agent,\ mock.patch.object(ovsvapp_db, 'set_cluster_threshold' ) as set_threshold, \ mock.patch.object(self.ovsvapp_monitor.notifier, 'device_update' ) as device_update, \ mock.patch.object(self.LOG, 'exception' ) as exception_log, \ mock.patch.object(self.LOG, 'info') as info_log: self.ovsvapp_monitor.process_ovsvapp_agent(dead_agent) self.assertTrue(get_eligible_agent.called) set_threshold.assert_called_with(FAKE_VCENTER, FAKE_CLUSTER_1) self.assertTrue(exception_log.called) self.assertEqual(info_log.call_count, 1) self.assertFalse(device_update.called) def test_check_datapath_health_ok(self): monitoring_ip = "1.1.1.1" url = 'http://1.1.1.1:8080/status.json' response = FakeResponse(jsonutils.dumps({"ovs": "OK"})) with mock.patch('requests.get', return_value=response) as http_call: ret = self.ovsvapp_monitor._check_datapath_health(monitoring_ip) self.assertTrue(http_call.called) http_call.assert_called_with(url, timeout=5) self.assertTrue(ret) def test_check_datapath_health_exception(self): monitoring_ip = "1.1.1.1" url = 'http://1.1.1.1:8080/status.json' with mock.patch('requests.get', side_effect=Exception) as http_call: ret = self.ovsvapp_monitor._check_datapath_health(monitoring_ip) self.assertTrue(http_call.called) http_call.assert_called_with(url, timeout=5) self.assertFalse(ret) def test_check_datapath_health_without_monitoring_ip(self): monitoring_ip = None ret = self.ovsvapp_monitor._check_datapath_health(monitoring_ip) self.assertIsNone(ret) def test_monitor_agent_state(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.inactive_agents = [] with mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state' ) as update_agent_call, \ mock.patch.object(self.ovsvapp_monitor.threadpool, 'spawn_n' ) as spawn_thread_call, \ mock.patch.object(ovsvapp_db, 'reset_cluster_threshold'), \ mock.patch.object(ovsvapp_db, 'update_and_get_cluster_lock', return_value='1') as get_cluster_lock, \ mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() status = {'agent': {'admin_state_up': False}} agent_id = self.fake_inactive_agent_ids[3] self.assertTrue(get_agent_list.called) self.assertEqual(update_agent_call.call_count, 2) spawn_thread_call.assert_called_with( self.ovsvapp_monitor.process_ovsvapp_agent, self.fake_inactive_agent_list[3]) self.assertTrue(get_cluster_lock.called) self.assertEqual(len(self.ovsvapp_monitor.active_agents), len(self.fake_active_agent_ids)) self.assertEqual(len(self.ovsvapp_monitor.inactive_agents), len(self.fake_inactive_agent_ids)) update_agent_call.assert_called_with(self.context, agent_id, status) def test_monitor_agent_state_nothing_new_to_process(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list[:2]) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.inactive_agents = self.fake_inactive_agent_ids[:2] with mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state' ) as update_agent_call, \ mock.patch.object(self.ovsvapp_monitor, 'process_ovsvapp_agent' ) as process_ovsvapp, \ mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() self.assertTrue(get_agent_list.called) self.assertEqual(len(self.ovsvapp_monitor.active_agents), len(self.fake_active_agent_ids)) self.assertEqual(len(self.ovsvapp_monitor.inactive_agents), len(self.fake_inactive_agent_ids[:2])) self.assertFalse(update_agent_call.called) self.assertFalse(process_ovsvapp.called) def test_monitor_agent_state_exception_in_update(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.inactive_agents = [] with mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state', side_effect=Exception ) as update_agent_call, \ mock.patch.object(self.ovsvapp_monitor, 'process_ovsvapp_agent' ) as process_ovsvapp, \ mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list ) as get_agent_list, \ mock.patch.object(self.LOG, 'exception') as exception_log: self.ovsvapp_monitor.monitor_agent_state() self.assertTrue(get_agent_list.called) self.assertEqual(update_agent_call.call_count, 2) self.assertTrue(exception_log.called) self.assertFalse(process_ovsvapp.called) def test_monitor_agent_state_agent_active_to_inactive(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.active_agents += self.fake_inactive_agent_ids self.ovsvapp_monitor.inactive_agents = [] with mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state' ) as update_agent_call, \ mock.patch.object(self.ovsvapp_monitor.threadpool, 'spawn_n' ) as spawn_thread_call, \ mock.patch.object(ovsvapp_db, 'reset_cluster_threshold' ) as reset_threshold, \ mock.patch.object(ovsvapp_db, 'update_and_get_cluster_lock', return_value='1') as get_cluster_lock, \ mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() status = {'agent': {'admin_state_up': False}} agent_id = self.fake_inactive_agent_ids[3] self.assertTrue(get_agent_list.called) a_count = len(self.fake_inactive_agent_ids[2:]) self.assertEqual(update_agent_call.call_count, a_count) self.assertEqual(len(self.ovsvapp_monitor.active_agents), len(self.fake_active_agent_ids)) self.assertEqual(len(self.ovsvapp_monitor.inactive_agents), len(self.fake_inactive_agent_ids)) update_agent_call.assert_called_with(self.context, agent_id, status) self.assertTrue(spawn_thread_call.called) self.assertEqual(spawn_thread_call.call_count, a_count) self.assertFalse(reset_threshold.called) self.assertTrue(get_cluster_lock.called) def test_monitor_agent_agent_active_to_inactive_cluster_locked(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.active_agents = self.fake_active_agent_ids self.ovsvapp_monitor.active_agents += self.fake_inactive_agent_ids self.ovsvapp_monitor.inactive_agents = [] with mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state'), \ mock.patch.object(self.ovsvapp_monitor, 'process_ovsvapp_agent' ) as process_ovsvapp, \ mock.patch.object(ovsvapp_db, 'reset_cluster_threshold' ) as reset_threshold, \ mock.patch.object(ovsvapp_db, 'update_and_get_cluster_lock', return_value='0') as get_cluster_lock, \ mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() self.assertTrue(get_agent_list.called) self.assertEqual(0, process_ovsvapp.call_count) self.assertEqual(2, len(self.ovsvapp_monitor.inactive_agents)) self.assertFalse(reset_threshold.called) self.assertTrue(get_cluster_lock.called) def test_monitor_agent_state_agent_inactive_to_active(self): config = {'cluster_id': FAKE_CLUSTER_1, 'vcenter_id': FAKE_VCENTER} self._populate_agent_lists(config) fake_all_agent_list = copy.deepcopy(self.fake_inactive_agent_list[:2]) fake_all_agent_list.extend(self.fake_active_agent_list) self.ovsvapp_monitor.inactive_agents = self.fake_inactive_agent_ids[:2] self.ovsvapp_monitor.inactive_agents += self.fake_active_agent_ids self.ovsvapp_monitor.active_agents = [] with mock.patch.object(self.ovsvapp_monitor, '_update_agent_admin_state' ) as update_agent_call, \ mock.patch.object(self.ovsvapp_monitor, 'process_ovsvapp_agent' ) as process_ovsvapp, \ mock.patch.object(ovsvapp_db, 'reset_cluster_threshold' ) as reset_threshold, \ mock.patch.object(self.plugin, 'get_agents', return_value=fake_all_agent_list ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() status = {'agent': {'admin_state_up': True}} agent_id = self.fake_active_agent_ids[2] self.assertTrue(get_agent_list.called) self.assertEqual(update_agent_call.call_count, len(self.fake_active_agent_ids)) self.assertEqual(len(self.ovsvapp_monitor.active_agents), len(self.fake_active_agent_ids)) self.assertEqual(len(self.ovsvapp_monitor.inactive_agents), len(self.fake_inactive_agent_ids[:2])) update_agent_call.assert_called_with(self.context, agent_id, status) self.assertFalse(process_ovsvapp.called) self.assertTrue(reset_threshold.called) def test_monitor_agent_state_agent_no_plugin(self): self.ovsvapp_monitor.plugin = None with mock.patch.object(self.ovsvapp_monitor, 'get_plugin_and_initialize', return_value=False ) as get_plugin, \ mock.patch.object(self.LOG, 'warning') as warn_log, \ mock.patch.object(self.plugin, 'get_agents' ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() self.assertTrue(get_plugin.called) self.assertTrue(warn_log.called) self.assertFalse(get_agent_list.called) def test_monitor_agent_state_agent_ext_not_supported(self): self.ovsvapp_monitor.agent_ext_support = False with mock.patch.object(self.LOG, 'warning') as warn_log, \ mock.patch.object(self.plugin, 'get_agents' ) as get_agent_list: self.ovsvapp_monitor.monitor_agent_state() self.assertTrue(warn_log.called) self.assertFalse(get_agent_list.called) def test_monitor_agent_state_agent_exception_get_agents(self): with mock.patch.object(self.LOG, 'debug') as debug_log, \ mock.patch.object(self.plugin, 'get_agents', side_effect=Exception ) as get_agent_list, \ mock.patch.object(self.LOG, 'exception') as exception_log: self.ovsvapp_monitor.monitor_agent_state() self.assertFalse(debug_log.called) self.assertTrue(get_agent_list.called) self.assertTrue(exception_log.called)

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0.054801

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0.720046

0.694147

0.677743

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11568f5f7231dfd8a8811ba2e12652528572acae

71

py

Python

ch01/factorial.py

ibiscum/Learn-Python-Programming-Third-Edition

c8e0061e97b16c9b55250cc720a8bc7613cb6cca

[ "MIT" ]

null

ch01/factorial.py

ibiscum/Learn-Python-Programming-Third-Edition

c8e0061e97b16c9b55250cc720a8bc7613cb6cca

[ "MIT" ]

null

ch01/factorial.py

ibiscum/Learn-Python-Programming-Third-Edition

c8e0061e97b16c9b55250cc720a8bc7613cb6cca

[ "MIT" ]

null

"""Factorial example.""" from math import factorial factorial(5) # 120

14.2

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0.732394

9

71

5.777778

0.777778

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0.064516

0.126761

71

4

27

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