xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

6d937f6a37d6c9c86d31b14c4ba6b2dbc1bfd9e0

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py

Python

sqlcon.py

nuSapb/python-mssql-sync

66ae26a29f7412a036284f80525088b8452d4931

[ "MIT" ]

null

sqlcon.py

nuSapb/python-mssql-sync

66ae26a29f7412a036284f80525088b8452d4931

[ "MIT" ]

null

sqlcon.py

nuSapb/python-mssql-sync

66ae26a29f7412a036284f80525088b8452d4931

[ "MIT" ]

null

from sqlalchemy import create_engine import config def dbcon (user, pwd, host, dbname, driver): con = create_engine(f'mssql+pyodbc://{user}:{pwd}@{host}/{dbname}?driver={driver}') return con

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Python

saleor/product/migrations/0159_auto_20220209_1501.py

victor-abz/saleor

f8e2b49703d995d4304d5a690dbe9c83631419d0

[ "CC-BY-4.0" ]

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saleor/product/migrations/0159_auto_20220209_1501.py

victor-abz/saleor

f8e2b49703d995d4304d5a690dbe9c83631419d0

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2021-10-06T10:48:54.000Z

2022-03-31T11:00:30.000Z

saleor/product/migrations/0159_auto_20220209_1501.py

victor-abz/saleor

f8e2b49703d995d4304d5a690dbe9c83631419d0

[ "CC-BY-4.0" ]

538

2021-10-07T16:21:27.000Z

2022-03-31T22:58:57.000Z

# Generated by Django 3.2.12 on 2022-02-09 15:01 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ("product", "0158_auto_20220120_1633"), ] operations = [ migrations.AddField( model_name="product", name="created", field=models.DateTimeField(db_index=True, null=True), ), migrations.AlterField( model_name="product", name="updated_at", field=models.DateTimeField(db_index=True, null=True), ), migrations.AddField( model_name="productvariant", name="created", field=models.DateTimeField(db_index=True, null=True), ), migrations.AddField( model_name="productvariant", name="updated_at", field=models.DateTimeField(db_index=True, null=True), ), ]

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py

Python

tests/__init__.py

metinsay/docluster

6b2474a4272b0e76002482a567e0679016d78188

[ "MIT" ]

1

2020-05-19T16:57:05.000Z

tests/__init__.py

metinsay/docluster

6b2474a4272b0e76002482a567e0679016d78188

[ "MIT" ]

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2017-08-14T15:33:10.000Z

tests/__init__.py

metinsay/docluster

6b2474a4272b0e76002482a567e0679016d78188

[ "MIT" ]

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2020-03-10T20:29:44.000Z

2021-04-21T21:54:58.000Z

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

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Python

fractal/core/specifications/account_id_specification.py

douwevandermeij/fractal

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[ "MIT" ]

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2021-08-12T05:19:08.000Z

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fractal/core/specifications/account_id_specification.py

douwevandermeij/fractal

66b04892b4d6fd8ee6a0c07b6e230f4321165085

[ "MIT" ]

null

fractal/core/specifications/account_id_specification.py

douwevandermeij/fractal

66b04892b4d6fd8ee6a0c07b6e230f4321165085

[ "MIT" ]

null

from typing import Any from fractal.core.specifications.generic.operators import EqualsSpecification class AccountIdSpecification(EqualsSpecification): def __init__(self, account_id: Any): super(AccountIdSpecification, self).__init__("account_id", account_id)

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py

Python

src/pylenium/webelement/pylenium_element.py

symonk/pytest-pylenium

f01e786dd4be5eee03be4377ae8a83f4158246c4

[ "Apache-2.0" ]

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2020-01-10T21:51:04.000Z

2020-06-12T06:59:27.000Z

src/pylenium/webelement/pylenium_element.py

JosephWardDotTech/pylenium

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[ "Apache-2.0" ]

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2019-03-05T12:48:31.000Z

2019-11-25T22:55:36.000Z

src/pylenium/webelement/pylenium_element.py

JosephWardDotTech/pylenium

0603e5bd8c9642cef65039bc48f7a4ddbecfc8a7

[ "Apache-2.0" ]

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2020-01-10T21:50:53.000Z

2021-06-28T23:07:41.000Z

from selenium.webdriver.remote.webelement import WebElement class PyleniumWebElement(WebElement): def __init__(self, parent, id_, w3c=False): super().__init__(parent, id_, w3c)

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09fa995c9c3ff275efc0573256178a07f6879ac0

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py

Python

BigGan/pytorch_pretrained_biggan/__init__.py

jybai/data-copying

da0dac491c7b0bb239629ff0cfaeecd342edf3cb

[ "MIT" ]

5

2020-08-05T18:07:54.000Z

2021-01-12T23:48:47.000Z

BigGan/pytorch_pretrained_biggan/__init__.py

jybai/data-copying

da0dac491c7b0bb239629ff0cfaeecd342edf3cb

[ "MIT" ]

1

2022-01-12T05:26:48.000Z

BigGan/pytorch_pretrained_biggan/__init__.py

jybai/data-copying

da0dac491c7b0bb239629ff0cfaeecd342edf3cb

[ "MIT" ]

1

2021-03-02T03:25:24.000Z

from .config import BigGANConfig from .model import BigGAN from .file_utils import PYTORCH_PRETRAINED_BIGGAN_CACHE, cached_path from .utils import (truncated_noise_sample, save_as_images, convert_to_images, display_in_terminal, one_hot_from_int, one_hot_from_names, get_imagenet_mapping)

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61ee7b536827af3c6edae6f50b180f7c31466409

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py

Python

lanes_basic.py

Rahul-Dwivedi-07/Autonomous-Vehicle-self-Driving-Car-Complete

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[ "Apache-2.0" ]

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lanes_basic.py

Rahul-Dwivedi-07/Autonomous-Vehicle-self-Driving-Car-Complete

5c62f4a4c0bdddbb6b0a6f058e86f3547b2f3d7b

[ "Apache-2.0" ]

null

lanes_basic.py

Rahul-Dwivedi-07/Autonomous-Vehicle-self-Driving-Car-Complete

5c62f4a4c0bdddbb6b0a6f058e86f3547b2f3d7b

[ "Apache-2.0" ]

null

import cv2 import numpy as np image = cv2.imread('test_image.jpg') lane_image = np.copy(image) cv2.imshow('result',lane_image) cv2.waitKey(0)

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1139ee72bd92aaa489f9b69fff66f1a8d2004b95

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py

Python

src/davinci_crawling/task/__init__.py

intellstartup/django-davinci-crawling

638739855b63f02e318abf484d5daeab6c861e7a

[ "MIT" ]

null

src/davinci_crawling/task/__init__.py

intellstartup/django-davinci-crawling

638739855b63f02e318abf484d5daeab6c861e7a

[ "MIT" ]

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src/davinci_crawling/task/__init__.py

intellstartup/django-davinci-crawling

638739855b63f02e318abf484d5daeab6c861e7a

[ "MIT" ]

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2020-03-16T20:25:53.000Z

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Python

setup.py

mobiusklein/mokapot

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[ "Apache-2.0" ]

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2019-09-14T19:47:58.000Z

2021-07-25T21:10:50.000Z

setup.py

mobiusklein/mokapot

5148da1c09cfc92f9b776ae8306619429d0656cb

[ "Apache-2.0" ]

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2020-09-29T19:38:29.000Z

2022-03-30T05:02:56.000Z

setup.py

mobiusklein/mokapot

5148da1c09cfc92f9b776ae8306619429d0656cb

[ "Apache-2.0" ]

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2020-09-29T19:12:02.000Z

2022-03-18T17:39:16.000Z

""" Setup the mokapot package. """ import setuptools setuptools.setup()

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1146e9a7e598d0257f98993f135fdd8e98275324

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py

Python

part1/Test3.py

flyou/PythonLearn

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[ "Apache-2.0" ]

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part1/Test3.py

flyou/PythonLearn

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[ "Apache-2.0" ]

null

part1/Test3.py

flyou/PythonLearn

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[ "Apache-2.0" ]

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#!/usr/bin/python # -*- coding: UTF-8 -*- # -------------------------- # User flyou # Date 2017/2/21 21:07 # EMAIL fangjalylong@qq.com # Desc 字符串操作 # -------------------------- src="hello World" print src print src[0] print src[0:5] print src[:2] print src[2:] print src*2 print src+":hahaha"

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acl18/modules.py

tzshi/mh4-parser-acl18

20234703d6a2824fb6f76d45499db0a6ec6e27fb

[ "MIT" ]

4

2018-08-22T13:54:38.000Z

2021-05-16T16:22:36.000Z

acl18/modules.py

tzshi/mh4-parser-acl18

20234703d6a2824fb6f76d45499db0a6ec6e27fb

[ "MIT" ]

null

acl18/modules.py

tzshi/mh4-parser-acl18

20234703d6a2824fb6f76d45499db0a6ec6e27fb

[ "MIT" ]

1

2019-05-19T16:59:20.000Z

#!/usr/bin/env python # encoding: utf-8 from dynet import * from collections import Counter import numpy as np from . import pyximportcpp; pyximportcpp.install() from .calgorithm import parse_proj, parse_ah_dp_mst, parse_ae_dp_mst from .chu_liu_edmonds import chu_liu_edmonds from .mh4 import parse_mh4 from .mh4t import parse_mh4t, parse_mh4t_sh, mh4t_combine_scores from .ec import parse_1ec_o3 from .ahbeamconf import AHBeamConf from .aebeamconf import AEBeamConf from .mh4beamconf import MH4BeamConf from .layers import MultiLayerPerceptron, Dense, Bilinear, identity, BiaffineBatch class UPOSTagger: def __init__(self, parser, id="UPOSTagger", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._utagger_mlp_activation = self._activations[kwargs.get('utagger_mlp_activation', 'relu')] self._utagger_mlp_dims = kwargs.get("utagger_mlp_dims", 128) self._utagger_mlp_layers = kwargs.get("utagger_mlp_layers", 2) self._utagger_mlp_dropout = kwargs.get("utagger_mlp_dropout", 0.0) self._utagger_discrim = kwargs.get("utagger_discrim", False) def init_params(self): self._utagger_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._utagger_mlp_dims] * self._utagger_mlp_layers, self._utagger_mlp_activation, self._parser._model) self._utagger_final = Dense(self._utagger_mlp_dims, len(self._parser._upos), identity, self._parser._model) def init_cg(self, train=False): if train: self._utagger_mlp.set_dropout(self._utagger_mlp_dropout) else: self._utagger_mlp.set_dropout(0.) def sent_loss(self, graph, carriers): ret = [] correct = 0 for node, c in zip(graph.nodes[1:], carriers[1:]): potentials = self._utagger_final(self._utagger_mlp(c.vec)) pred = np.argmax(potentials.value()) answer = self._parser._upos[node.upos] if (pred == answer): correct += 1 if self._utagger_discrim: potential_values = potentials.value() best_wrong = max([(i, val) for i, val in enumerate(potential_values) if i != answer], key=lambda x: x[1]) if best_wrong[1] + 1. > potential_values[answer]: ret.append((potentials[best_wrong[0]] - potentials[answer] + 1.)) else: ret.append(pickneglogsoftmax(potentials, answer)) return correct, ret def predict(self, graph, carriers): for node, c in zip(graph.nodes[1:], carriers[1:]): potentials = self._utagger_final(self._utagger_mlp(c.vec)) pred = np.argmax(potentials.value()) node.upos = self._parser._iupos[pred] return self class XPOSTagger: def __init__(self, parser, id="XPOSTagger", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._xtagger_mlp_activation = self._activations[kwargs.get('xtagger_mlp_activation', 'relu')] self._xtagger_mlp_dims = kwargs.get("xtagger_mlp_dims", 128) self._xtagger_mlp_layers = kwargs.get("xtagger_mlp_layers", 2) self._xtagger_mlp_dropout = kwargs.get("xtagger_mlp_dropout", 0.0) self._xtagger_discrim = kwargs.get("xtagger_discrim", False) def init_params(self): self._xtagger_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._xtagger_mlp_dims] * self._xtagger_mlp_layers, self._xtagger_mlp_activation, self._parser._model) self._xtagger_final = Dense(self._xtagger_mlp_dims, len(self._parser._xpos), identity, self._parser._model) def init_cg(self, train=False): if train: self._xtagger_mlp.set_dropout(self._xtagger_mlp_dropout) else: self._xtagger_mlp.set_dropout(0.) def sent_loss(self, graph, carriers): ret = [] correct = 0 for node, c in zip(graph.nodes[1:], carriers[1:]): potentials = self._xtagger_final(self._xtagger_mlp(c.vec)) pred = np.argmax(potentials.value()) answer = self._parser._xpos[node.xupos] if (pred == answer): correct += 1 if self._xtagger_discrim: potential_values = potentials.value() best_wrong = max([(i, val) for i, val in enumerate(potential_values) if i != answer], key=lambda x: x[1]) if best_wrong[1] + 1. > potential_values[answer]: ret.append(potentials[best_wrong[0]] - potentials[answer] + 1.) else: ret.append(pickneglogsoftmax(potentials, answer)) return correct, ret def predict(self, graph, carriers): for node, c in zip(graph.nodes[1:], carriers[1:]): potentials = self._xtagger_final(self._xtagger_mlp(c.vec)) pred = np.argmax(potentials.value()) node.xpos = self._parser._ixpos[pred].split("|")[1] return self class MSTParser: def __init__(self, parser, id="MSTParser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._mst_mlp_activation = self._activations[kwargs.get('mst_mlp_activation', 'relu')] self._mst_mlp_dims = kwargs.get("mst_mlp_dims", 128) self._mst_mlp_layers = kwargs.get("mst_mlp_layers", 2) self._mst_mlp_dropout = kwargs.get("mst_mlp_dropout", 0.0) def init_params(self): self._mst_head_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mst_mlp_dims] * self._mst_mlp_layers, self._mst_mlp_activation, self._parser._model) self._mst_mod_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mst_mlp_dims] * self._mst_mlp_layers, self._mst_mlp_activation, self._parser._model) self._mst_bilinear = Bilinear(self._mst_mlp_dims, self._parser._model) self._mst_head_bias = Dense(self._mst_mlp_dims, 1, identity, self._parser._model) def init_cg(self, train=False): if train: self._mst_head_mlp.set_dropout(self._mst_mlp_dropout) self._mst_mod_mlp.set_dropout(self._mst_mlp_dropout) else: self._mst_head_mlp.set_dropout(0.) self._mst_mod_mlp.set_dropout(0.) def _mst_arcs_eval(self, carriers): head_vecs = [self._mst_head_mlp(c.vec) for c in carriers] mod_vecs = [self._mst_mod_mlp(c.vec) for c in carriers] head_vecs = concatenate(head_vecs, 1) mod_vecs = concatenate(mod_vecs, 1) exprs = colwise_add(self._mst_bilinear(head_vecs, mod_vecs), reshape(self._mst_head_bias(head_vecs), (len(carriers),))) scores = exprs.value() exprs = np.array([[exprs[i][j] for j in range(len(carriers))] for i in range(len(carriers))]) return scores, exprs def sent_loss(self, graph, carriers): gold_heads = graph.proj_heads scores, exprs = self._mst_arcs_eval(carriers) # Cost Augmentation for m, h in enumerate(gold_heads): scores[h, m] -= 1. heads = parse_proj(scores) correct = sum([1 for (h, g) in zip(heads[1:], gold_heads[1:]) if h == g]) loss = [exprs[int(h)][int(i)] - exprs[int(g)][int(i)] + 1. for i, (h, g) in enumerate(zip(heads, gold_heads)) if h != g] return correct, loss def predict(self, graph, carriers): scores, exprs = self._mst_arcs_eval(carriers) graph.heads = parse_proj(scores) return self class NPMSTParser: def __init__(self, parser, id="NPMSTParser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._npmst_mlp_activation = self._activations[kwargs.get('npmst_mlp_activation', 'relu')] self._npmst_mlp_dims = kwargs.get("npmst_mlp_dims", 128) self._npmst_mlp_layers = kwargs.get("npmst_mlp_layers", 2) self._npmst_mlp_dropout = kwargs.get("npmst_mlp_dropout", 0.0) def init_params(self): self._npmst_head_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._npmst_mlp_dims] * self._npmst_mlp_layers, self._npmst_mlp_activation, self._parser._model) self._npmst_mod_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._npmst_mlp_dims] * self._npmst_mlp_layers, self._npmst_mlp_activation, self._parser._model) self._npmst_bilinear = Bilinear(self._npmst_mlp_dims, self._parser._model) self._npmst_head_bias = Dense(self._npmst_mlp_dims, 1, identity, self._parser._model) def init_cg(self, train=False): if train: self._npmst_head_mlp.set_dropout(self._npmst_mlp_dropout) self._npmst_mod_mlp.set_dropout(self._npmst_mlp_dropout) else: self._npmst_head_mlp.set_dropout(0.) self._npmst_mod_mlp.set_dropout(0.) def _npmst_arcs_eval(self, carriers): head_vecs = [self._npmst_head_mlp(c.vec) for c in carriers] mod_vecs = [self._npmst_mod_mlp(c.vec) for c in carriers] head_vecs = concatenate(head_vecs, 1) mod_vecs = concatenate(mod_vecs, 1) exprs = colwise_add(self._npmst_bilinear(head_vecs, mod_vecs), reshape(self._npmst_head_bias(head_vecs), (len(carriers),))) scores = exprs.value() exprs = np.array([[exprs[i][j] for j in range(len(carriers))] for i in range(len(carriers))]) return scores, exprs def sent_loss(self, graph, carriers): gold_heads = graph.heads scores, exprs = self._npmst_arcs_eval(carriers) # Cost Augmentation for m, h in enumerate(gold_heads): scores[h, m] -= 1. heads, tree_score = chu_liu_edmonds(scores.T) correct = sum([1 for (h, g) in zip(heads[1:], gold_heads[1:]) if h == g]) loss = [exprs[int(h)][int(i)] - exprs[int(g)][int(i)] + 1. for i, (h, g) in enumerate(zip(heads, gold_heads)) if h != g] return correct, loss def predict(self, graph, carriers): scores, exprs = self._npmst_arcs_eval(carriers) graph.heads, tree_score = chu_liu_edmonds(scores.T) return self class MH4Parser: def __init__(self, parser, id="MH4Parser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._mh4_mlp_activation = self._activations[kwargs.get('mh4_mlp_activation', 'relu')] self._mh4_mlp_dims = kwargs.get("mh4_mlp_dims", 128) self._mh4_mlp_layers = kwargs.get("mh4_mlp_layers", 2) self._mh4_mlp_dropout = kwargs.get("mh4_mlp_dropout", 0.0) def init_params(self): self._mh4_head_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4_mlp_dims] * self._mh4_mlp_layers, self._mh4_mlp_activation, self._parser._model) self._mh4_mod_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4_mlp_dims] * self._mh4_mlp_layers, self._mh4_mlp_activation, self._parser._model) self._mh4_bilinear = Bilinear(self._mh4_mlp_dims, self._parser._model) self._mh4_head_bias = Dense(self._mh4_mlp_dims, 1, identity, self._parser._model) def init_cg(self, train=False): if train: self._mh4_head_mlp.set_dropout(self._mh4_mlp_dropout) self._mh4_mod_mlp.set_dropout(self._mh4_mlp_dropout) else: self._mh4_head_mlp.set_dropout(0.) self._mh4_mod_mlp.set_dropout(0.) def _mh4_arcs_eval(self, carriers): head_vecs = [self._mh4_head_mlp(c.vec) for c in carriers] mod_vecs = [self._mh4_mod_mlp(c.vec) for c in carriers] head_vecs = concatenate(head_vecs, 1) mod_vecs = concatenate(mod_vecs, 1) exprs = colwise_add(self._mh4_bilinear(head_vecs, mod_vecs), reshape(self._mh4_head_bias(head_vecs), (len(carriers),))) scores = exprs.value() exprs = np.array([[exprs[i][j] for j in range(len(carriers))] for i in range(len(carriers))]) return scores, exprs def sent_loss(self, graph, carriers): gold_heads = graph.mh4_heads scores, exprs = self._mh4_arcs_eval(carriers) # Cost Augmentation for m, h in enumerate(gold_heads): scores[h, m] -= 1. heads = parse_mh4(scores) correct = sum([1 for (h, g) in zip(heads[1:], gold_heads[1:]) if h == g]) loss = [exprs[int(h)][int(i)] - exprs[int(g)][int(i)] + 1. for i, (h, g) in enumerate(zip(heads, gold_heads)) if h != g] return correct, loss def predict(self, graph, carriers): scores, exprs = self._mh4_arcs_eval(carriers) graph.heads = parse_mh4(scores) return self class MH4TParser: def __init__(self, parser, id="MH4TParser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._mh4t_mlp_activation = self._activations[kwargs.get('mh4t_mlp_activation', 'relu')] self._mh4t_mlp_dims = kwargs.get("mh4t_mlp_dims", 128) self._mh4t_mlp_layers = kwargs.get("mh4t_mlp_layers", 2) self._mh4t_mlp_dropout = kwargs.get("mh4t_mlp_dropout", 0.0) self._mh4t_mode = kwargs.get("mh4t_mode", "two") self._mh4t_stack_features = kwargs.get("mh4t_stack_features", 1) self._mh4t_buffer_features = kwargs.get("mh4t_buffer_features", 1) def init_params(self): if self._mh4t_mode == "local": self._mh4t_pad_repr = [self._parser._model.add_parameters(self._bilstm_dims) for i in range(self._mh4t_stack_features + self._mh4t_buffer_features)] self._mh4t_mlp = MultiLayerPerceptron([self._bilstm_dims * (self._mh4t_stack_features + self._mh4t_buffer_features)] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers, self._mh4t_mlp_activation, self._parser._model) self._mh4t_final = Dense(self._mh4t_mlp_dims, 7, identity, self._parser._model) elif self._mh4t_mode == "two": self._mh4t_pad_repr = self._parser._model.add_parameters(self._bilstm_dims) self._mh4t_stack_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers, self._mh4t_mlp_activation, self._parser._model) self._mh4t_buffer_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers, self._mh4t_mlp_activation, self._parser._model) self._mh4t_biaffine = BiaffineBatch(self._mh4t_mlp_dims, 7, self._parser._model) elif self._mh4t_mode == "hybrid": self._mh4t_pad_repr = self._parser._model.add_parameters(self._bilstm_dims) self._mh4t_s1_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers, self._mh4t_mlp_activation, self._parser._model) self._mh4t_s0_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers, self._mh4t_mlp_activation, self._parser._model) self._mh4t_b0_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers, self._mh4t_mlp_activation, self._parser._model) self._mh4t_shift_biaffine = BiaffineBatch(self._mh4t_mlp_dims, 1, self._parser._model) self._mh4t_reduce_biaffine1 = BiaffineBatch(self._mh4t_mlp_dims, 6, self._parser._model) self._mh4t_reduce_biaffine2 = BiaffineBatch(self._mh4t_mlp_dims, 6, self._parser._model) elif self._mh4t_mode == "b0": self._mh4t_pad_repr = self._parser._model.add_parameters(self._bilstm_dims) self._mh4t_b0_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._mh4t_mlp_dims] * self._mh4t_mlp_layers + [7], self._mh4t_mlp_activation, self._parser._model) def init_cg(self, train=False): if self._mh4t_mode == "local": if train: self._mh4t_mlp.set_dropout(self._mh4t_mlp_dropout) else: self._mh4t_mlp.set_dropout(0.) if self._mh4t_mode == "two": if train: self._mh4t_stack_mlp.set_dropout(self._mh4t_mlp_dropout) self._mh4t_buffer_mlp.set_dropout(self._mh4t_mlp_dropout) else: self._mh4t_stack_mlp.set_dropout(0.) self._mh4t_buffer_mlp.set_dropout(0.) elif self._mh4t_mode == "hybrid": if train: self._mh4t_s1_mlp.set_dropout(self._mh4t_mlp_dropout) self._mh4t_s0_mlp.set_dropout(self._mh4t_mlp_dropout) self._mh4t_b0_mlp.set_dropout(self._mh4t_mlp_dropout) else: self._mh4t_s1_mlp.set_dropout(0.) self._mh4t_s0_mlp.set_dropout(0.) self._mh4t_b0_mlp.set_dropout(0.) elif self._mh4t_mode == "b0": if train: self._mh4t_b0_mlp.set_dropout(self._mh4t_mlp_dropout) else: self._mh4t_b0_mlp.set_dropout(0.) def _mh4t_conf_eval(self, features, carriers): vecs = [carriers[int(f)].vec if f >= 0 else parameter(self._mh4t_pad_repr[i]) for i, f in enumerate(features)] exprs = self._mh4t_final(self._mh4t_mlp(concatenate(vecs))) return exprs.value(), exprs def _mh4t_eval(self, carriers): if self._mh4t_mode == "two": stack_vecs = [self._mh4t_stack_mlp(c.vec) for c in carriers] + [parameter(self._mh4t_pad_repr)] buffer_vecs = [self._mh4t_buffer_mlp(c.vec) for c in carriers] + [parameter(self._mh4t_pad_repr)] stack_vecs = concatenate(stack_vecs, 1) buffer_vecs = concatenate(buffer_vecs, 1) exprs = self._mh4t_biaffine(stack_vecs, buffer_vecs) scores = exprs.value() return scores, exprs elif self._mh4t_mode == "b0": b0_vecs = concatenate([c.vec for c in carriers] + [parameter(self._mh4t_pad_repr)], 1) b0_vecs = transpose(self._mh4t_b0_mlp(b0_vecs)) exprs = [b0_vecs] * (len(carriers) + 1) scores = np.array([b0_vecs.value()] * (len(carriers) + 1)) return scores, exprs elif self._mh4t_mode == "hybrid": s1_vecs = [self._mh4t_s1_mlp(c.vec) for c in carriers] + [parameter(self._mh4t_pad_repr)] s0_vecs = [self._mh4t_s0_mlp(c.vec) for c in carriers] + [parameter(self._mh4t_pad_repr)] b0_vecs = [self._mh4t_b0_mlp(c.vec) for c in carriers] + [parameter(self._mh4t_pad_repr)] s1_vecs = concatenate(s1_vecs, 1) s0_vecs = concatenate(s0_vecs, 1) b0_vecs = concatenate(b0_vecs, 1) sh_exprs = self._mh4t_shift_biaffine(s0_vecs, b0_vecs) sh_scores = sh_exprs.value() re_exprs1 = self._mh4t_reduce_biaffine1(s1_vecs, s0_vecs) re_exprs2 = self._mh4t_reduce_biaffine2(s0_vecs, b0_vecs) re_scores1 = re_exprs1.value() re_scores2 = re_exprs2.value() return sh_scores, mh4t_combine_scores(re_scores1, re_scores2), sh_exprs, re_exprs1, re_exprs2 def sent_loss(self, graph, carriers): if self._mh4t_mode == "local": loss = [] gold_heads = graph.mh4_heads beamconf = MH4BeamConf(len(graph.nodes), 1, self._mh4t_stack_features, self._mh4t_buffer_features) beamconf.init_conf(0) scores = np.zeros((len(gold_heads) + 1, len(gold_heads) + 1, 7)) mst_scores = np.ones((len(gold_heads), len(gold_heads))) mst_scores += -np.inf for m, h in enumerate(gold_heads): mst_scores[h, m] = 0. gscore, _, gold_traces = parse_mh4t(scores, mst_scores) total = 0 wrong = 0 for gi, gj, gr in gold_traces: valid = beamconf.valid_transitions(0) if np.count_nonzero(valid) < 1: break scores, exprs = self._mh4t_conf_eval(beamconf.extract_features(0), carriers) best = int(gr) rest = tuple((i, s) for i, s in enumerate(scores) if i != best) total += 1 if len(rest) > 0: second, secondScore = max(rest, key=lambda x: x[1]) if scores[best] < scores[second] + 1.0: loss.append(exprs[second] - exprs[best] + 1.) wrong += 1 beamconf.make_transition(0, best) return (total - wrong) / total * (len(graph.nodes) - 1), loss elif self._mh4t_mode == "two" or self._mh4t_mode == "b0": gold_heads = graph.mh4_heads scores, exprs = self._mh4t_eval(carriers) mst_scores = np.ones((len(gold_heads), len(gold_heads))) # Cost Augmentation for m, h in enumerate(gold_heads): mst_scores[h, m] -= 1. pscore, heads, traces = parse_mh4t(scores, mst_scores) mst_scores += -np.inf for m, h in enumerate(gold_heads): mst_scores[h, m] = 0. gscore, _, gold_traces = parse_mh4t(scores, mst_scores) correct = sum([1 for (h, g) in zip(heads[1:], gold_heads[1:]) if h == g]) traces_set = Counter((i, j, r) for i, j, r in traces) gold_traces_set = Counter((i, j, r) for i, j, r in gold_traces) loss = [exprs[int(i)][int(j)][int(r)] for i, j, r in (traces_set - gold_traces_set).elements()] loss.extend([-exprs[int(i)][int(j)][int(r)] for i, j, r in (gold_traces_set - traces_set).elements()]) return correct, loss if self._mh4t_mode == "hybrid": gold_heads = graph.mh4_heads sh_scores, re_scores, sh_exprs, re_exprs1, re_exprs2 = self._mh4t_eval(carriers) mst_scores = np.ones((len(gold_heads), len(gold_heads))) # Cost Augmentation for m, h in enumerate(gold_heads): mst_scores[h, m] -= 1. pscore, heads, traces = parse_mh4t_sh(sh_scores, re_scores, mst_scores) mst_scores += -np.inf for m, h in enumerate(gold_heads): mst_scores[h, m] = 0. gscore, _, gold_traces = parse_mh4t_sh(sh_scores, re_scores, mst_scores) correct = sum([1 for (h, g) in zip(heads[1:], gold_heads[1:]) if h == g]) traces_set = Counter((n, i, j, k, r) for n, i, j, k, r in traces) gold_traces_set = Counter((n, i, j, k, r) for n, i, j, k, r in gold_traces) loss = [] for n, i, j, k, r in (traces_set - gold_traces_set).elements(): if n == 2: loss.append(sh_exprs[int(i)][int(j)]) elif n == 3: loss.append(re_exprs1[int(i)][int(j)][int(r)] + re_exprs2[int(j)][int(k)][int(r)]) for n, i, j, k, r in (gold_traces_set - traces_set).elements(): if n == 2: loss.append(-sh_exprs[int(i)][int(j)]) elif n == 3: loss.append(-re_exprs1[int(i)][int(j)][int(r)] - re_exprs2[int(j)][int(k)][int(r)]) return correct, loss def predict(self, graph, carriers): if self._mh4t_mode != "local" and len(graph.nodes) >= 100: graph.heads = -np.ones(len(graph.nodes), dtype=int) return self if self._mh4t_mode == "local": beamconf = MH4BeamConf(len(graph.nodes), 1, self._mh4t_stack_features, self._mh4t_buffer_features) beamconf.init_conf(0) while not beamconf.is_complete(0): valid = beamconf.valid_transitions(0) scores, exprs = self._mh4t_conf_eval(beamconf.extract_features(0), carriers) action, _ = max(((i, s) for i, s in enumerate(scores) if valid[i]), key=lambda x: x[1]) beamconf.make_transition(0, action) graph.heads = list(beamconf.get_heads(0)) return self elif self._mh4t_mode == "two" or self._mh4t_mode == "b0": mst_scores = np.ones((len(carriers), len(carriers))) scores, exprs = self._mh4t_eval(carriers) _, graph.heads, _ = parse_mh4t(scores, mst_scores) return self elif self._mh4t_mode == "hybrid": mst_scores = np.ones((len(carriers), len(carriers))) sh_scores, re_scores, sh_exprs, re_exprs1, re_exprs2 = self._mh4t_eval(carriers) _, graph.heads, _ = parse_mh4t_sh(sh_scores, re_scores, mst_scores) return self class AHDPParser: def __init__(self, parser, id="AHDPParser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._ah_mlp_activation = self._activations[kwargs.get('ah_mlp_activation', 'relu')] self._ah_mlp_dims = kwargs.get("ah_mlp_dims", 128) self._ah_mlp_layers = kwargs.get("ah_mlp_layers", 2) self._ah_mlp_dropout = kwargs.get("ah_mlp_dropout", 0.0) self._ah_global = kwargs.get("ah_global", True) def init_params(self): self._ah_pad_repr = [self._parser._model.add_parameters(self._bilstm_dims) for i in range(2)] self._ah_stack_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._ah_mlp_dims] * self._ah_mlp_layers, self._ah_mlp_activation, self._parser._model) self._ah_buffer_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._ah_mlp_dims] * self._ah_mlp_layers, self._ah_mlp_activation, self._parser._model) self._ah_scorer = BiaffineBatch(self._ah_mlp_dims, 3, self._parser._model) def init_cg(self, train=False): if train: self._ah_stack_mlp.set_dropout(self._ah_mlp_dropout) self._ah_buffer_mlp.set_dropout(self._ah_mlp_dropout) else: self._ah_stack_mlp.set_dropout(0.) self._ah_buffer_mlp.set_dropout(0.) def _ah_confs_eval(self, carriers): rows = list(range(-1, len(carriers))) + [-2] vecs = [carriers[f].vec if f >= 0 else parameter(self._ah_pad_repr[f]) for i, f in enumerate(rows)] vecs = concatenate(vecs, 1) exprs = self._ah_scorer(self._ah_stack_mlp(vecs), self._ah_buffer_mlp(vecs)) scores = exprs.value() exprs = np.array([[[exprs[i][j][b] for b in (0, 1, 2)] for j in range(len(rows))] for i in range(len(rows))]) return scores, exprs def _ah_seq_loss(self, correctseq, wrongseq, beamconf, loss, carriers, exprs, loc=0): commonprefix = 0 for i in range(min(len(correctseq), len(wrongseq))): if wrongseq[i] == correctseq[i]: commonprefix = i + 1 else: break beamconf.init_conf(loc, True) for i in range(commonprefix): beamconf.make_transition(loc, wrongseq[i]) for i in range(commonprefix, len(wrongseq)): s, b = beamconf.extract_features(loc) if b < 0: b = len(carriers) loss.append(exprs[int(s+1)][int(b+1)][int(wrongseq[i])]) beamconf.make_transition(loc, wrongseq[i]) beamconf.init_conf(loc, True) for i in range(commonprefix): beamconf.make_transition(loc, correctseq[i]) for i in range(commonprefix, len(correctseq)): s, b = beamconf.extract_features(loc) if b < 0: b = len(carriers) loss.append(-exprs[int(s+1)][int(b+1)][int(correctseq[i])]) beamconf.make_transition(loc, correctseq[i]) def sent_loss(self, graph, carriers): gold_heads = graph.proj_heads loss = [] beamconf = AHBeamConf(len(graph.nodes), 1, np.array(gold_heads), 1, 1) beamconf.init_conf(0, True) scores, exprs = self._ah_confs_eval(carriers) if self._ah_global: # cost augmentation mst_scores = np.ones((len(graph.nodes), len(graph.nodes))) for m, h in enumerate(gold_heads): mst_scores[h, m] -= 1. pred_transitions, pred_heads = parse_ah_dp_mst(scores, mst_scores) true_transitions = beamconf.gold_transitions(0, True) self._ah_seq_loss(true_transitions, pred_transitions, beamconf, loss, carriers, exprs, loc=0) correct = sum([1 if gold_heads[i] == pred_heads[i] else 0 for i in range(1, len(graph.nodes))]) else: true_transitions = beamconf.gold_transitions(0, True) beamconf.init_conf(0, True) beamconf.make_transition(0, 0) correct = 0 for step in range(1, len(true_transitions)): s, b = beamconf.extract_features(0) if b < 0: b = len(carriers) g = true_transitions[step] valid_transitions = beamconf.valid_transitions(0) valid_set = [i for i in range(3) if valid_transitions[i]] valid_scores = [scores[s+1, b+1, i] if i == g else scores[s+1, b+1, i] + 1. for i in valid_set] m = valid_set[np.argmax(valid_scores)] if m == true_transitions[step]: correct += 1 else: loss.append(exprs[s+1, b+1, m] + 1. - exprs[s+1, b+1, g]) beamconf.make_transition(0, true_transitions[step]) return correct, loss def predict(self, graph, carriers): beamconf = AHBeamConf(len(graph.nodes), 1, np.array(graph.heads), 1, 1) beamconf.init_conf(0, True) scores, exprs = self._ah_confs_eval(carriers) if self._ah_global: mst_scores = np.zeros((len(graph.nodes), len(graph.nodes))) transitions, heads = parse_ah_dp_mst(scores, mst_scores) graph.heads = heads else: while not beamconf.is_complete(0): valid_transitions = beamconf.valid_transitions(0) valid_set = [i for i in range(3) if valid_transitions[i]] if len(valid_set) == 0: break s, b = beamconf.extract_features(0) if b < 0: b = len(carriers) valid_scores = [scores[s+1, b+1, i] for i in valid_set] beamconf.make_transition(0, valid_set[np.argmax(valid_scores)]) graph.heads = beamconf.get_heads(0) return self class AEDPParser: def __init__(self, parser, id="AEDPParser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._ae_mlp_activation = self._activations[kwargs.get('ae_mlp_activation', 'relu')] self._ae_mlp_dims = kwargs.get("ae_mlp_dims", 128) self._ae_mlp_layers = kwargs.get("ae_mlp_layers", 2) self._ae_mlp_dropout = kwargs.get("ae_mlp_dropout", 0.0) self._ae_global = kwargs.get("ae_global", True) def init_params(self): self._ae_pad_repr = [self._parser._model.add_parameters(self._bilstm_dims) for i in range(2)] self._ae_stack_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._ae_mlp_dims] * self._ae_mlp_layers, self._ae_mlp_activation, self._parser._model) self._ae_buffer_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._ae_mlp_dims] * self._ae_mlp_layers, self._ae_mlp_activation, self._parser._model) self._ae_scorer = BiaffineBatch(self._ae_mlp_dims, 4, self._parser._model) def init_cg(self, train=False): if train: self._ae_stack_mlp.set_dropout(self._ae_mlp_dropout) self._ae_buffer_mlp.set_dropout(self._ae_mlp_dropout) else: self._ae_stack_mlp.set_dropout(0.) self._ae_buffer_mlp.set_dropout(0.) def _ae_confs_eval(self, carriers): rows = list(range(-1, len(carriers))) + [-2] vecs = [carriers[f].vec if f >= 0 else parameter(self._ae_pad_repr[f]) for i, f in enumerate(rows)] vecs = concatenate(vecs, 1) exprs = self._ae_scorer(self._ae_stack_mlp(vecs), self._ae_buffer_mlp(vecs)) scores = exprs.value() exprs = np.array([[[exprs[i][j][b] for b in (0, 1, 2, 3)] for j in range(len(rows))] for i in range(len(rows))]) return scores, exprs def _ae_seq_loss(self, correctseq, wrongseq, beamconf, loss, carriers, exprs, loc=0): commonprefix = 0 for i in range(min(len(correctseq), len(wrongseq))): if wrongseq[i] == correctseq[i]: commonprefix = i + 1 else: break beamconf.init_conf(loc, True) for i in range(commonprefix): beamconf.make_transition(loc, wrongseq[i]) for i in range(commonprefix, len(wrongseq)): s, b = beamconf.extract_features(loc) if b < 0: b = len(carriers) loss.append(exprs[int(s+1)][int(b+1)][int(wrongseq[i])]) beamconf.make_transition(loc, wrongseq[i]) beamconf.init_conf(loc, True) for i in range(commonprefix): beamconf.make_transition(loc, correctseq[i]) for i in range(commonprefix, len(correctseq)): s, b = beamconf.extract_features(loc) if b < 0: b = len(carriers) loss.append(-exprs[int(s+1)][int(b+1)][int(correctseq[i])]) beamconf.make_transition(loc, correctseq[i]) def sent_loss(self, graph, carriers): gold_heads = graph.proj_heads loss = [] beamconf = AEBeamConf(len(graph.nodes), 1, np.array(gold_heads), 1, 1) beamconf.init_conf(0, True) scores, exprs = self._ae_confs_eval(carriers) if self._ae_global: # cost augmentation mst_scores = np.ones((len(graph.nodes), len(graph.nodes))) for m, h in enumerate(gold_heads): mst_scores[h, m] -= 1. pred_transitions, pred_heads = parse_ae_dp_mst(scores, mst_scores) true_transitions = beamconf.gold_transitions(0, True) self._ae_seq_loss(true_transitions, pred_transitions, beamconf, loss, carriers, exprs, loc=0) correct = sum([1 if gold_heads[i] == pred_heads[i] else 0 for i in range(1, len(graph.nodes))]) else: true_transitions = beamconf.gold_transitions(0, True) beamconf.init_conf(0, True) beamconf.make_transition(0, 0) correct = 0 for step in range(1, len(true_transitions)): s, b = beamconf.extract_features(0) if b < 0: b = len(carriers) g = true_transitions[step] valid_transitions = beamconf.valid_transitions(0) valid_set = [i for i in range(4) if valid_transitions[i]] valid_scores = [scores[s+1, b+1, i] if i == g else scores[s+1, b+1, i] + 1. for i in valid_set] m = valid_set[np.argmax(valid_scores)] if m == true_transitions[step]: correct += 1 else: loss.append(exprs[s+1, b+1, m] + 1. - exprs[s+1, b+1, g]) beamconf.make_transition(0, true_transitions[step]) correct /= len(true_transitions) - 1 correct *= len(graph.nodes) - 1 return correct, loss def predict(self, graph, carriers): beamconf = AEBeamConf(len(graph.nodes), 1, np.array(graph.heads), 1, 1) beamconf.init_conf(0, True) scores, exprs = self._ae_confs_eval(carriers) if self._ae_global: mst_scores = np.zeros((len(graph.nodes), len(graph.nodes))) transitions, heads = parse_ae_dp_mst(scores, mst_scores) else: while not beamconf.is_complete(0): valid_transitions = beamconf.valid_transitions(0) valid_set = [i for i in range(4) if valid_transitions[i]] if len(valid_set) == 0: break s, b = beamconf.extract_features(0) if b < 0: b = len(carriers) valid_scores = [scores[s+1, b+1, i] for i in valid_set] beamconf.make_transition(0, valid_set[np.argmax(valid_scores)]) heads = beamconf.get_heads(0) graph.heads = heads return self class OneECParser: def __init__(self, parser, id="OneECParser", **kwargs): self._parser = parser self.id = id self._activations = {'tanh': tanh, 'sigmoid': logistic, 'relu': rectify, 'tanh3': (lambda x: tanh(cwise_multiply(cwise_multiply(x, x), x)))} self._bilstm_dims = kwargs.get("bilstm_dims", 128) self._oneec_mlp_activation = self._activations[kwargs.get('oneec_mlp_activation', 'relu')] self._oneec_mlp_dims = kwargs.get("oneec_mlp_dims", 128) self._oneec_mlp_layers = kwargs.get("oneec_mlp_layers", 2) self._oneec_mlp_dropout = kwargs.get("oneec_mlp_dropout", 0.0) def init_params(self): self._oneec_grand_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._oneec_mlp_dims] * self._oneec_mlp_layers, self._oneec_mlp_activation, self._parser._model) self._oneec_head_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._oneec_mlp_dims] * self._oneec_mlp_layers, self._oneec_mlp_activation, self._parser._model) self._oneec_mod_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._oneec_mlp_dims] * self._oneec_mlp_layers, self._oneec_mlp_activation, self._parser._model) self._oneec_sib_mlp = MultiLayerPerceptron([self._bilstm_dims] + [self._oneec_mlp_dims] * self._oneec_mlp_layers, self._oneec_mlp_activation, self._parser._model) self._oneec_grand_mod_biaffine = BiaffineBatch(self._oneec_mlp_dims, 1, self._parser._model) self._oneec_head_mod_biaffine = BiaffineBatch(self._oneec_mlp_dims, 1, self._parser._model) self._oneec_sib_mod_biaffine = BiaffineBatch(self._oneec_mlp_dims, 1, self._parser._model) self._oneec_non_proj_head_mod_biaffine = BiaffineBatch(self._oneec_mlp_dims, 1, self._parser._model) self._oneec_grand_pad = self._parser._model.add_parameters(self._oneec_mlp_dims) self._oneec_head_pad = self._parser._model.add_parameters(self._oneec_mlp_dims) self._oneec_mod_pad = self._parser._model.add_parameters(self._oneec_mlp_dims) self._oneec_sib_pad = self._parser._model.add_parameters(self._oneec_mlp_dims) def init_cg(self, train=False): if train: self._oneec_grand_mlp.set_dropout(self._oneec_mlp_dropout) self._oneec_head_mlp.set_dropout(self._oneec_mlp_dropout) self._oneec_mod_mlp.set_dropout(self._oneec_mlp_dropout) self._oneec_sib_mlp.set_dropout(self._oneec_mlp_dropout) else: self._oneec_grand_mlp.set_dropout(0.) self._oneec_head_mlp.set_dropout(0.) self._oneec_mod_mlp.set_dropout(0.) self._oneec_sib_mlp.set_dropout(0.) def _oneec_arcs_eval(self, carriers): grand_vecs = [parameter(self._oneec_grand_pad)] + [self._oneec_grand_mlp(c.vec) for c in carriers] head_vecs = [parameter(self._oneec_head_pad)] + [self._oneec_head_mlp(c.vec) for c in carriers] mod_vecs = [parameter(self._oneec_mod_pad)] + [self._oneec_mod_mlp(c.vec) for c in carriers] sib_vecs = [parameter(self._oneec_sib_pad)] + [self._oneec_sib_mlp(c.vec) for c in carriers] grand_vecs = concatenate(grand_vecs, 1) head_vecs = concatenate(head_vecs, 1) mod_vecs = concatenate(mod_vecs, 1) sib_vecs = concatenate(sib_vecs, 1) grand_mod = self._oneec_grand_mod_biaffine(grand_vecs, mod_vecs) head_mod = self._oneec_head_mod_biaffine(head_vecs, mod_vecs) sib_mod = self._oneec_sib_mod_biaffine(sib_vecs, mod_vecs) nonproj_mod = self._oneec_non_proj_head_mod_biaffine(head_vecs, mod_vecs) exprs = concatenate([grand_mod, head_mod, sib_mod, nonproj_mod], 2) scores = exprs.value() return scores, exprs def sent_loss(self, graph, carriers): gold_heads, gold_traces = graph.oneec_heads, graph.oneec_traces scores, exprs = self._oneec_arcs_eval(carriers) # Cost Augmentation for m, h in enumerate(gold_heads): scores[h + 1, m + 1, 1] -= 1. scores[h + 1, m + 1, 3] -= 1. heads, traces = parse_1ec_o3(scores) correct = sum([1 for (h, g) in zip(heads[1:], gold_heads[1:]) if h == g]) pred_traces = {(int(i), int(j), int(r)) for i, j, r in traces if r >= 0} loss = [exprs[i][j][r] for i, j, r in pred_traces - gold_traces] loss.extend([-exprs[i][j][r] for i, j, r in gold_traces - pred_traces]) return correct, loss def predict(self, graph, carriers): if len(graph.nodes) >= 100: graph.heads = -np.ones(len(graph.nodes), dtype=int) return self scores, exprs = self._oneec_arcs_eval(carriers) graph.heads, _ = parse_1ec_o3(scores) return self

44.047867

225

0.629246

5,772

42,330

4.277893

0.042793

0.039851

0.031589

0.023854

0.823506

0.775879

0.714685

0.660862

0.637453

0.60392

0

0.020224

0.252421

42,330

960

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0.760057

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0

null

0

1

0

1

0

null

0

4

fee5908195daf2a0d00c5ef0add5bb1edc10cab5

673

py

Python

connect_four/ad.py

mars-tiger/kidspython

63d62d0083fb0c0904af6078916e0fe8ab2b9278

[ "MIT" ]

6

2021-08-21T17:00:54.000Z

2021-08-28T22:12:57.000Z

connect_four/ad.py

mars-tiger/kidspython

63d62d0083fb0c0904af6078916e0fe8ab2b9278

[ "MIT" ]

null

connect_four/ad.py

mars-tiger/kidspython

63d62d0083fb0c0904af6078916e0fe8ab2b9278

[ "MIT" ]

2

2021-08-21T17:13:33.000Z

2021-08-28T22:12:59.000Z

import turtle def draw_piece(row, col, color): pass def draw(x, y): global board, rb, winner pass def check_winner(): pass def draw_board(): pass radius = 23 gap = 2 square_size = 2 * (radius + gap) offset_x = -180 offset_y = 100 board = [ [None, None, None, None, None, None, None], [None, None, None, None, None, None, None], [None, None, None, None, None, None, None], [None, None, None, None, None, None, None], [None, None, None, None, None, None, None], [None, None, None, None, None, None, None], ] winner = "" rb = "r" t = turtle.Turtle() t.ht() t.speed(200) draw_board() wn = turtle.Screen() wn.onclick(draw) wn.mainloop()

14.630435

45

0.619614

105

673

3.904762

0.333333

0.8

1.170732

1.521951

0.409756

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0.024575

0.213967

673

45

46

14.955556

0.750473

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0.125

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0

null

1

0

null

0

1

0

4

3a2530558a94338d58fe13c5d114764b5b226e65

386

py

Python

spearmint/sampling/__init__.py

ascripter/Spearmint

81b8cf5fa1462c09569bf323630cbee356c5897b

[ "RSA-MD" ]

null

spearmint/sampling/__init__.py

ascripter/Spearmint

81b8cf5fa1462c09569bf323630cbee356c5897b

[ "RSA-MD" ]

null

spearmint/sampling/__init__.py

ascripter/Spearmint

81b8cf5fa1462c09569bf323630cbee356c5897b

[ "RSA-MD" ]

null

from __future__ import absolute_import from .abstract_sampler import AbstractSampler from .slice_sampler import SliceSampler from .whitened_prior_slice_sampler import WhitenedPriorSliceSampler from .elliptical_slice_sampler import EllipticalSliceSampler __all__ = ["AbstractSampler", "SliceSampler", "WhitenedPriorSliceSampler", "EllipticalSliceSampler"]

55.142857

100

0.805699

33

386

8.939394

0.454545

0.176271

0.183051

0

0.147668

386

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55.142857

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0

0.191214

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0

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false

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null

0

1

0

1

0

4

3a331375b229a1bc991f67d8ec7b3d94e325900f

12,428

py

Python

kitti_tools/upper_bound.py

dingmyu/mmdetection

705dc91ca43ea62f4f69355a81271d5bd81268ca

[ "Apache-2.0" ]

null

kitti_tools/upper_bound.py

dingmyu/mmdetection

705dc91ca43ea62f4f69355a81271d5bd81268ca

[ "Apache-2.0" ]

null

kitti_tools/upper_bound.py

dingmyu/mmdetection

705dc91ca43ea62f4f69355a81271d5bd81268ca

[ "Apache-2.0" ]

null

import easydict as edict import subprocess import os import sys import re import math import numpy as np def read_kitti_label(file): """ Reads the kitti label file from disc. Args: file (str): path to single label file for an image p2 (ndarray): projection matrix for the given image """ gts = [] text_file = open(file, 'r') ''' Values Name Description ---------------------------------------------------------------------------- 1 type Describes the type of object: 'Car', 'Van', 'Truck', 'Pedestrian', 'Person_sitting', 'Cyclist', 'Tram', 'Misc' or 'DontCare' 1 truncated Float from 0 (non-truncated) to 1 (truncated), where truncated refers to the object leaving image boundaries 1 occluded Integer (0,1,2,3) indicating occlusion state: 0 = fully visible, 1 = partly occluded 2 = largely occluded, 3 = unknown 1 alpha Observation angle of object, ranging [-pi..pi] 4 bbox 2D bounding box of object in the image (0-based index): contains left, top, right, bottom pixel coordinates 3 dimensions 3D object dimensions: height, width, length (in meters) 3 location 3D object location x,y,z in camera coordinates (in meters) 1 rotation_y Rotation ry around Y-axis in camera coordinates [-pi..pi] 1 score Only for results: Float, indicating confidence in detection, needed for p/r curves, higher is better. ''' pattern = re.compile(('([a-zA-Z\-\?\_]+)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+' + '(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s*((fpat)?)\n') .replace('fpat', '[-+]?\d*\.\d+|[-+]?\d+')) TYPE2LABEL = dict( Background=0, Car=1, Cyclist=2, Pedestrian=3, # Van=4, # Person_sitting=5 # Truck = 6 # Tram = 7 # Misc = 8 ) all_boxes = [] for line in text_file: parsed = pattern.fullmatch(line) # bbGt annotation in text format of: # cls x y w h occ x y w h ign ang if parsed is not None: ign = False label_type = parsed.group(1) # type trunc = float(parsed.group(2)) occ = float(parsed.group(3)) alpha = float(parsed.group(4)) x = float(parsed.group(5)) # left y = float(parsed.group(6)) # top x2 = float(parsed.group(7)) # right y2 = float(parsed.group(8)) # bottom width = x2 - x + 1 height = y2 - y + 1 h3d = float(parsed.group(9)) w3d = float(parsed.group(10)) l3d = float(parsed.group(11)) cx3d = float(parsed.group(12)) # center of car in 3d cy3d = float(parsed.group(13)) # bottom of car in 3d cz3d = float(parsed.group(14)) # center of car in 3d rotY = float(parsed.group(15)) # all_boxes.append(((x+x2)/2, (y+y2)/2, width, height)) if label_type in TYPE2LABEL: all_boxes.append((label_type, x, y, x2, y2, h3d, w3d, l3d, cx3d, cy3d, cz3d, rotY)) return all_boxes def read_kitti_pre(file): """ Reads the kitti label file from disc. Args: file (str): path to single label file for an image p2 (ndarray): projection matrix for the given image """ gts = [] text_file = open(file, 'r') ''' Values Name Description ---------------------------------------------------------------------------- 1 type Describes the type of object: 'Car', 'Van', 'Truck', 'Pedestrian', 'Person_sitting', 'Cyclist', 'Tram', 'Misc' or 'DontCare' 1 truncated Float from 0 (non-truncated) to 1 (truncated), where truncated refers to the object leaving image boundaries 1 occluded Integer (0,1,2,3) indicating occlusion state: 0 = fully visible, 1 = partly occluded 2 = largely occluded, 3 = unknown 1 alpha Observation angle of object, ranging [-pi..pi] 4 bbox 2D bounding box of object in the image (0-based index): contains left, top, right, bottom pixel coordinates 3 dimensions 3D object dimensions: height, width, length (in meters) 3 location 3D object location x,y,z in camera coordinates (in meters) 1 rotation_y Rotation ry around Y-axis in camera coordinates [-pi..pi] 1 score Only for results: Float, indicating confidence in detection, needed for p/r curves, higher is better. ''' pattern = re.compile(('([a-zA-Z\-\?\_]+)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+' + '(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s+(fpat)\s*((fpat)?)\n') .replace('fpat', '[-+]?\d*\.\d+|[-+]?\d+')) TYPE2LABEL = dict( Background=0, Car=1, Cyclist=2, Pedestrian=3, # Van=4, # Person_sitting=5 # Truck = 6 # Tram = 7 # Misc = 8 ) all_boxes = [] for line in text_file: parsed = pattern.fullmatch(line) # bbGt annotation in text format of: # cls x y w h occ x y w h ign ang if parsed is not None: ign = False label_type = parsed.group(1) # type trunc = float(parsed.group(2)) occ = float(parsed.group(3)) alpha = float(parsed.group(4)) x = float(parsed.group(5)) # left y = float(parsed.group(6)) # top x2 = float(parsed.group(7)) # right y2 = float(parsed.group(8)) # bottom width = x2 - x + 1 height = y2 - y + 1 h3d = float(parsed.group(9)) w3d = float(parsed.group(10)) l3d = float(parsed.group(11)) cx3d = float(parsed.group(12)) # center of car in 3d cy3d = float(parsed.group(13)) # bottom of car in 3d cz3d = float(parsed.group(14)) # center of car in 3d rotY = float(parsed.group(15)) prob = float(parsed.group(16)) # all_boxes.append(((x+x2)/2, (y+y2)/2, width, height)) if label_type in TYPE2LABEL: all_boxes.append((label_type, x, y, x2, y2, h3d, w3d, l3d, cx3d, cy3d, cz3d, rotY, prob)) return all_boxes def calculateIoU(candidateBound, groundTruthBound): cx1 = candidateBound[0] cy1 = candidateBound[1] cx2 = candidateBound[2] cy2 = candidateBound[3] gx1 = groundTruthBound[0] gy1 = groundTruthBound[1] gx2 = groundTruthBound[2] gy2 = groundTruthBound[3] carea = (cx2 - cx1) * (cy2 - cy1) #C的面积 garea = (gx2 - gx1) * (gy2 - gy1) #G的面积 x1 = max(cx1, gx1) y1 = max(cy1, gy1) x2 = min(cx2, gx2) y2 = min(cy2, gy2) w = max(0, x2 - x1) h = max(0, y2 - y1) area = w * h #C∩G的面积 iou = area / (carea + garea - area) return iou os.chdir(sys.path[0]) os.system('mkdir test_new') os.system('mkdir test_new/data') for index in range(3769): if index % 200 == 0: print(index) # if index >= 100: # break id = '%06d' % index labelname = os.path.join('/mnt/lustre/dingmingyu/2020/mmdetection/kitti_tools/split1/validation/label_2', id + '.txt') gts = read_kitti_label(labelname) labelname = os.path.join('./data', id + '.txt') pres = read_kitti_pre(labelname) fw = open('test_new/data/%s.txt' % id, 'w') for pre in pres: pre = list(pre) flag = 0 for gt in gts: gt = list(gt) if pre[0] == gt[0]: iou = calculateIoU(gt[1:], pre[1:]) if iou > 0.5: # print(pre) pre[11] = gt[11] # Ry # pre[5] = gt[5] # h # pre[6] = gt[6] # w # pre[7] = gt[7] # l # pre[8] = gt[8] # x # pre[9] = gt[9] # y pre[10] = gt[10] # z pre = [str(item) for item in pre] pre.insert(1, '0') pre.insert(1, '-1') pre.insert(1, '-1') print(' '.join(pre), file=fw) flag = 1 break if flag == 0: pre = [str(item) for item in pre] pre.insert(1, '0') pre.insert(1, '-1') pre.insert(1, '-1') print(' '.join(pre), file=fw) fw.close() script = os.path.join( '/mnt/lustre/dingmingyu/2020/mmdetection', 'kitti_tools', 'split1', 'devkit', 'cpp', 'evaluate_object') os.chdir('/mnt/lustre/dingmingyu/2020/mmdetection/') print(os.path.join(os.getcwd())) with open(os.devnull, 'w') as devnull: out = subprocess.check_output([script, os.path.join(sys.path[0], 'test_new')], stderr=devnull) os.chdir(sys.path[0]) print(os.path.join(sys.path[0], 'test_new')) # os.chdir('/mnt/lustre/dingmingyu/2020/mmdetection/') import os.path as osp results_path = osp.join(sys.path[0], 'test_new', 'data') def parse_kitti_result(respath, mode='new'): text_file = open(respath, 'r') acc = np.zeros([3, 41], dtype=float) lind = 0 for line in text_file: parsed = re.findall(r'([\d]+\.?[\d]*)', line) for i, num in enumerate(parsed): acc[lind, i] = float(num) lind += 1 text_file.close() if mode == 'old': easy = np.mean(acc[0, 0:41:4]) mod = np.mean(acc[1, 0:41:4]) hard = np.mean(acc[2, 0:41:4]) else: easy = np.mean(acc[0, 1:41:1]) mod = np.mean(acc[1, 1:41:1]) hard = np.mean(acc[2, 1:41:1]) return easy, mod, hard for lbl in ['Car', 'Cyclist', 'Pedestrian']: lbl = lbl.lower() respath_2d = os.path.join(results_path.replace( '/data', ''), 'stats_{}_detection.txt'.format(lbl)) respath_gr = os.path.join( results_path.replace( '/data', ''), 'stats_{}_detection_ground.txt'.format(lbl)) respath_3d = os.path.join( results_path.replace( '/data', ''), 'stats_{}_detection_3d.txt'.format(lbl)) # print(respath_2d) if os.path.exists(respath_2d): # print(respath_2d) easy, mod, hard = parse_kitti_result(respath_2d, mode='old') print_str = 'R11_test_epoch {} 2d {} --> easy: {:0.4f}, mod: {:0.4f}, hard: {:0.4f}'.format( 1, lbl, easy, mod, hard) print(print_str) easy, mod, hard = parse_kitti_result(respath_2d) print_str = 'R40_test_epoch {} 2d {} --> easy: {:0.4f}, mod: {:0.4f}, hard: {:0.4f}'.format( 1, lbl, easy, mod, hard) print(print_str) if os.path.exists(respath_gr): easy, mod, hard = parse_kitti_result(respath_gr, mode='old') print_str = 'R11_test_epoch {} gr {} --> easy: {:0.4f}, mod: {:0.4f}, hard: {:0.4f}'.format( 1, lbl, easy, mod, hard) print(print_str) easy, mod, hard = parse_kitti_result(respath_gr) print_str = 'R40_test_epoch {} gr {} --> easy: {:0.4f}, mod: {:0.4f}, hard: {:0.4f}'.format( 1, lbl, easy, mod, hard) print(print_str) if os.path.exists(respath_3d): easy, mod, hard = parse_kitti_result(respath_3d, mode='old') print_str = 'R11_test_epoch {} 3d {} --> easy: {:0.4f}, mod: {:0.4f}, hard: {:0.4f}'.format( 1, lbl, easy, mod, hard) print(print_str) easy, mod, hard = parse_kitti_result(respath_3d) print_str = 'R40_test_epoch {} 3d {} --> easy: {:0.4f}, mod: {:0.4f}, hard: {:0.4f}'.format( 1, lbl, easy, mod, hard) print(print_str) # os.chdir(sys.path[0])

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null

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0

1

0

null

0

4

3a3e4c4452666cfc7abb9fb2599aacac044f2799

232

py

Python

bench/fix.py

maaku/forthy2

7ee996ff25830f45e14d7dac29933f45b0fb6175

[ "MIT" ]

53

2019-10-20T00:56:59.000Z

2021-02-18T20:30:16.000Z

bench/fix.py

maaku/forthy2

7ee996ff25830f45e14d7dac29933f45b0fb6175

[ "MIT" ]

2

2019-10-28T11:02:10.000Z

2020-06-28T20:10:22.000Z

bench/fix.py

maaku/forthy2

7ee996ff25830f45e14d7dac29933f45b0fb6175

[ "MIT" ]

6

2019-10-28T10:55:59.000Z

2021-02-18T20:30:18.000Z

from bench import bench print(bench(10, ''' from decimal import Decimal ''', ''' x = Decimal(0) for _ in range(100000): x += Decimal(1) / Decimal(3) ''')) print(bench(10, '', ''' x = 0.0 for _ in range(1000000): x += 0.1 '''))

14.5

33

0.581897

36

232

3.694444

0.416667

0.150376

0.180451

0.165414

0

0.12766

0.189655

232

15

34

15.466667

0.579787

0

0.166667

0

0.62069

0

1

0

true

0

0.166667

0

0.166667

0

null

0

1

0

1

0

null

0

1

0

4

28e7eed9b38168493353eef7c61b78282b25014e

26,297

py

Python

tests/test_consensus_simple.py

ValentinATA/sirius-sdk-python

b26aea94f6fc94980a4c9be6d2b8f2345c875964

[ "Apache-2.0" ]

9

2020-08-10T11:57:35.000Z

2022-03-18T21:45:36.000Z

tests/test_consensus_simple.py

ValentinATA/sirius-sdk-python

b26aea94f6fc94980a4c9be6d2b8f2345c875964

[ "Apache-2.0" ]

3

2021-03-12T22:42:27.000Z

2021-05-18T11:46:01.000Z

tests/test_consensus_simple.py

ValentinATA/sirius-sdk-python

b26aea94f6fc94980a4c9be6d2b8f2345c875964

[ "Apache-2.0" ]

7

2020-10-30T15:54:45.000Z

2022-02-28T06:59:59.000Z

import copy from typing import List from datetime import datetime import pytest import sirius_sdk from sirius_sdk import Agent, P2PConnection from sirius_sdk.agent.microledgers.abstract import AbstractMicroledger from sirius_sdk.agent.consensus.simple.state_machines import MicroLedgerSimpleConsensus from sirius_sdk.agent.consensus.simple.messages import * from .conftest import get_pairwise from .helpers import run_coroutines, ServerTestSuite async def routine_of_ledger_creator( uri: str, credentials: bytes, p2p: P2PConnection, me: Pairwise.Me, participants: List[str], ledger_name: str, genesis: List[dict] ): async with sirius_sdk.context(uri, credentials, p2p): machine = MicroLedgerSimpleConsensus(me) genesis = [Transaction.create(txn) for txn in genesis] success, ledger = await machine.init_microledger(ledger_name, participants, genesis) return success, ledger async def routine_of_ledger_creation_acceptor(uri: str, credentials: bytes, p2p: P2PConnection): async with sirius_sdk.context(uri, credentials, p2p): listener = await sirius_sdk.subscribe() event = await listener.get_one() assert event.pairwise is not None propose = event.message assert isinstance(propose, InitRequestLedgerMessage) machine = MicroLedgerSimpleConsensus(event.pairwise.me) success, ledger = await machine.accept_microledger(event.pairwise, propose) return success, ledger async def routine_of_txn_committer( uri: str, credentials: bytes, p2p: P2PConnection, me: Pairwise.Me, participants: List[str], ledger: Union[AbstractMicroledger, List[AbstractMicroledger]], txns: List[dict] ): async with sirius_sdk.context(uri, credentials, p2p): machine = MicroLedgerSimpleConsensus(me) txns = [Transaction.create(txn) for txn in txns] if isinstance(ledger, AbstractMicroledger): success, txns = await machine.commit(ledger, participants, txns) else: success = await machine.commit_in_parallel(ledger, participants, txns) return success, txns async def routine_of_txn_acceptor( uri: str, credentials: bytes, p2p: P2PConnection, txns: List[Transaction] = None ): async with sirius_sdk.context(uri, credentials, p2p): listener = await sirius_sdk.subscribe() while True: event = await listener.get_one() assert event.pairwise is not None propose = event.message if isinstance(propose, ProposeTransactionsMessage): if txns: propose['transactions'] = txns machine = MicroLedgerSimpleConsensus(event.pairwise.me) success = await machine.accept_commit(event.pairwise, propose) return success elif isinstance(propose, ProposeParallelTransactionsMessage): machine = MicroLedgerSimpleConsensus(event.pairwise.me) success = await machine.accept_commit_parallel(event.pairwise, propose) return success @pytest.mark.asyncio async def test_init_ledger_messaging(A: Agent, B: Agent, ledger_name: str): await A.open() await B.open() try: A2B = await get_pairwise(A, B) B2A = await get_pairwise(B, A) A2B.me.did = 'did:peer:' + A2B.me.did B2A.me.did = 'did:peer:' + B2A.me.did genesis_txns = [ Transaction({"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}) ] request = InitRequestLedgerMessage( participants=[A2B.me.did, B2A.me.did], ledger_name=ledger_name, genesis=genesis_txns, root_hash='xxx' ) await request.add_signature(A.wallet.crypto, A2B.me) await request.add_signature(B.wallet.crypto, B2A.me) assert len(request.signatures) == 2 await request.check_signatures(A.wallet.crypto, A2B.me.did) await request.check_signatures(A.wallet.crypto, B2A.me.did) await request.check_signatures(A.wallet.crypto) await request.check_signatures(B.wallet.crypto, A2B.me.did) await request.check_signatures(B.wallet.crypto, B2A.me.did) await request.check_signatures(B.wallet.crypto) response = InitResponseLedgerMessage() response.assign_from(request) payload1 = dict(**request) payload2 = dict(**response) assert payload1 != payload2 del payload1['@id'] del payload1['@type'] del payload2['@id'] del payload2['@type'] assert payload1 == payload2 finally: await A.close() await B.close() @pytest.mark.asyncio async def test_transaction_messaging(A: Agent, B: Agent, ledger_name: str): await A.open() await B.open() try: a2b = await get_pairwise(A, B) b2a = await get_pairwise(B, A) a2b.me.did = 'did:peer:' + a2b.me.did b2a.me.did = 'did:peer:' + b2a.me.did genesis_txns = [ Transaction({"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}) ] ledger_for_a, txns = await A.microledgers.create(ledger_name, genesis_txns) ledger_for_b, txns = await B.microledgers.create(ledger_name, genesis_txns) new_transactions = [ Transaction({"reqId": 2, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op2"}), Transaction({"reqId": 3, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3"}), ] pos1, pos2, new_txns = await ledger_for_a.append(new_transactions) # A -> B state = MicroLedgerState( { 'name': ledger_for_a.name, 'seq_no': ledger_for_a.seq_no, 'size': ledger_for_a.size, 'uncommitted_size': ledger_for_a.uncommitted_size, 'root_hash': ledger_for_a.root_hash, 'uncommitted_root_hash': ledger_for_a.uncommitted_root_hash } ) x = MicroLedgerState.from_ledger(ledger_for_a) assert state == x assert state.hash == x.hash propose = ProposeTransactionsMessage( transactions=new_txns, state=state ) propose.validate() # B -> A await ledger_for_b.append(propose.transactions) pre_commit = PreCommitTransactionsMessage( state=MicroLedgerState( { 'name': ledger_for_b.name, 'seq_no': ledger_for_b.seq_no, 'size': ledger_for_b.size, 'uncommitted_size': ledger_for_b.uncommitted_size, 'root_hash': ledger_for_b.root_hash, 'uncommitted_root_hash': ledger_for_b.uncommitted_root_hash } ) ) await pre_commit.sign_state(B.wallet.crypto, b2a.me) pre_commit.validate() ok, loaded_state_hash = await pre_commit.verify_state(A.wallet.crypto, a2b.their.verkey) assert ok is True assert loaded_state_hash == state.hash # A -> B commit = CommitTransactionsMessage() commit.add_pre_commit(a2b.their.did, pre_commit) commit.validate() states = await commit.verify_pre_commits(A.wallet.crypto, state) assert a2b.their.did in str(states) assert a2b.their.verkey in str(states) # B -> A (post-commit) post_commit = PostCommitTransactionsMessage() await post_commit.add_commit_sign(B.wallet.crypto, commit, b2a.me) post_commit.validate() ok = await post_commit.verify_commits(A.wallet.crypto, commit, [a2b.their.verkey]) assert ok is True finally: await A.close() await B.close() @pytest.mark.asyncio async def test_parallel_transactions_messaging(A: Agent, B: Agent, ledger_names: List[str]): await A.open() await B.open() try: txn_time = str(datetime.now()) a2b = await get_pairwise(A, B) b2a = await get_pairwise(B, A) a2b.me.did = 'did:peer:' + a2b.me.did b2a.me.did = 'did:peer:' + b2a.me.did genesis_txns = [ Transaction({"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}) ] ledgers_for_a = [] ledgers_for_b = [] for n in ledger_names: ledger_for_a, _ = await A.microledgers.create(n, genesis_txns) ledger_for_b, _ = await B.microledgers.create(n, genesis_txns) ledgers_for_a.append(ledger_for_a) ledgers_for_b.append(ledger_for_b) new_transactions = [ Transaction({"reqId": 2, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op2"}), Transaction({"reqId": 3, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3"}), ] for txn in new_transactions: txn.time = txn_time # A -> B states_for_a = [] for ledger_for_a in ledgers_for_a: pos1, pos2, new_txns = await ledger_for_a.append(new_transactions) state = MicroLedgerState.from_ledger(ledger_for_a) states_for_a.append(state) propose = ProposeParallelTransactionsMessage(transactions=new_transactions, states=states_for_a) propose.validate() # B -> A states_for_b = [] for ledger_name in propose.ledgers: ledger_for_b = await B.microledgers.ledger(ledger_name) pos1, pos2, new_txns = await ledger_for_b.append(propose.transactions) states_for_b.append(MicroLedgerState.from_ledger(ledger_for_b)) pre_commit = PreCommitParallelTransactionsMessage(transactions=new_transactions, states=states_for_b) await pre_commit.sign_states(B.wallet.crypto, b2a.me) pre_commit.validate() ok, state_hash_for_b = await pre_commit.verify_state(A.wallet.crypto, a2b.their.verkey) assert ok is True assert state_hash_for_b == propose.hash # A -> B commit = CommitParallelTransactionsMessage() commit.add_pre_commit(a2b.their.did, pre_commit) commit.validate() states = await commit.verify_pre_commits(A.wallet.crypto, propose.hash) assert a2b.their.did in str(states) assert a2b.their.verkey in str(states) # B -> A (post-commit) post_commit = PostCommitParallelTransactionsMessage() await post_commit.add_commit_sign(B.wallet.crypto, commit, b2a.me) post_commit.validate() ok = await post_commit.verify_commits(A.wallet.crypto, commit, [a2b.their.verkey]) assert ok is True finally: await A.close() await B.close() @pytest.mark.asyncio async def test_parallel_batching_api_messaging(A: Agent, B: Agent, ledger_names: List[str]): txn_time = str(datetime.now()) await A.open() await B.open() try: a2b = await get_pairwise(A, B) b2a = await get_pairwise(B, A) a2b.me.did = 'did:peer:' + a2b.me.did b2a.me.did = 'did:peer:' + b2a.me.did genesis_txns = [ Transaction({"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}) ] ledgers_for_a = [] ledgers_for_b = [] for n in ledger_names: ledger_for_a, _ = await A.microledgers.create(n, genesis_txns) ledgers_for_a.append(ledger_for_a) ledger_for_b, _ = await B.microledgers.create(n, genesis_txns) ledgers_for_b.append(ledger_for_b) new_transactions = [ Transaction({"reqId": 2, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op2"}), Transaction({"reqId": 3, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3"}), ] for txn in new_transactions: txn.time = txn_time batching_api_for_a = await A.microledgers.batched() batching_api_for_b = await B.microledgers.batched() await batching_api_for_a.open(ledger_names) await batching_api_for_b.open(ledger_names) try: # A -> B await batching_api_for_a.append(new_transactions) propose = ProposeParallelTransactionsMessage( transactions=new_transactions, states=[MicroLedgerState.from_ledger(item) for item in ledgers_for_a] ) propose.validate() # B -> A await batching_api_for_b.append(propose.transactions) states_for_b = [MicroLedgerState.from_ledger(item) for item in ledgers_for_b] pre_commit = PreCommitParallelTransactionsMessage(states=states_for_b) await pre_commit.sign_states(B.wallet.crypto, b2a.me) pre_commit.validate() ok, state_hash_for_b = await pre_commit.verify_state(A.wallet.crypto, a2b.their.verkey) assert ok is True assert state_hash_for_b == propose.hash # A -> B commit = CommitParallelTransactionsMessage() commit.add_pre_commit(a2b.their.did, pre_commit) commit.validate() states = await commit.verify_pre_commits(A.wallet.crypto, propose.hash) assert a2b.their.did in str(states) assert a2b.their.verkey in str(states) # B -> A (post-commit) post_commit = PostCommitParallelTransactionsMessage() await post_commit.add_commit_sign(B.wallet.crypto, commit, b2a.me) post_commit.validate() ok = await post_commit.verify_commits(A.wallet.crypto, commit, [a2b.their.verkey]) assert ok is True finally: await batching_api_for_a.close() await batching_api_for_b.close() finally: await A.close() await B.close() @pytest.mark.asyncio async def test_simple_consensus_init_ledger( A: Agent, B: Agent, C: Agent, ledger_name: str, test_suite: ServerTestSuite ): A_params = test_suite.get_agent_params('agent1') B_params = test_suite.get_agent_params('agent2') C_params = test_suite.get_agent_params('agent3') await A.open() await B.open() await C.open() try: A2B = await get_pairwise(A, B) A2C = await get_pairwise(A, C) assert A2B.me == A2C.me B2A = await get_pairwise(B, A) B2C = await get_pairwise(B, C) assert B2A.me == B2C.me C2A = await get_pairwise(C, A) C2B = await get_pairwise(C, B) assert C2A.me == C2B.me participants = [ A2B.me.did, A2B.their.did, A2C.their.did ] genesis = [ {"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}, {"reqId": 2, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op2"} ] coro_creator = routine_of_ledger_creator( A_params['server_address'], A_params['credentials'], A_params['p2p'], A2B.me, participants, ledger_name, genesis ) coro_acceptor1 = routine_of_ledger_creation_acceptor( B_params['server_address'], B_params['credentials'], B_params['p2p'], ) coro_acceptor2 = routine_of_ledger_creation_acceptor( C_params['server_address'], C_params['credentials'], C_params['p2p'], ) stamp1 = datetime.now() print('> begin') await run_coroutines(coro_creator, coro_acceptor1, coro_acceptor2, timeout=30) print('> end') stamp2 = datetime.now() delta = stamp2 - stamp1 print(f'***** Consensus timeout: {delta.seconds}') is_exists_for_A = await A.microledgers.is_exists(ledger_name) is_exists_for_B = await B.microledgers.is_exists(ledger_name) is_exists_for_C = await C.microledgers.is_exists(ledger_name) assert is_exists_for_A assert is_exists_for_B assert is_exists_for_C for agent in [A, B, C]: ledger = await agent.microledgers.ledger(ledger_name) txns = await ledger.get_all_transactions() assert len(txns) == 2 assert 'op1' in str(txns) assert 'op2' in str(txns) finally: await A.close() await B.close() await C.close() @pytest.mark.asyncio async def test_simple_consensus_commit( A: Agent, B: Agent, C: Agent, ledger_name: str, test_suite: ServerTestSuite ): A_params = test_suite.get_agent_params('agent1') B_params = test_suite.get_agent_params('agent2') C_params = test_suite.get_agent_params('agent3') await A.open() await B.open() await C.open() try: A2B = await get_pairwise(A, B) A2C = await get_pairwise(A, C) assert A2B.me == A2C.me B2A = await get_pairwise(B, A) B2C = await get_pairwise(B, C) assert B2A.me == B2C.me C2A = await get_pairwise(C, A) C2B = await get_pairwise(C, B) assert C2A.me == C2B.me participants = [ A2B.me.did, A2B.their.did, A2C.their.did ] genesis = [ {"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}, {"reqId": 2, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op2"} ] ledger_for_a, _ = await A.microledgers.create(ledger_name, genesis) await B.microledgers.create(ledger_name, genesis) await C.microledgers.create(ledger_name, genesis) txns = [ {"reqId": 3, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3"}, {"reqId": 4, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op4"}, {"reqId": 5, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op5"}, ] coro_committer = routine_of_txn_committer( A_params['server_address'], A_params['credentials'], A_params['p2p'], A2B.me, participants, ledger_for_a, txns ) coro_acceptor1 = routine_of_txn_acceptor( B_params['server_address'], B_params['credentials'], B_params['p2p'], ) coro_acceptor2 = routine_of_txn_acceptor( C_params['server_address'], C_params['credentials'], C_params['p2p'], ) stamp1 = datetime.now() print('> begin') await run_coroutines(coro_committer, coro_acceptor1, coro_acceptor2, timeout=60) print('> end') stamp2 = datetime.now() delta = stamp2 - stamp1 print(f'***** Consensus timeout: {delta.seconds}') ledger_for_a = await A.microledgers.ledger(ledger_name) ledger_for_b = await B.microledgers.ledger(ledger_name) ledger_for_c = await C.microledgers.ledger(ledger_name) for ledger in [ledger_for_a, ledger_for_b, ledger_for_c]: all_txns = await ledger.get_all_transactions() assert 'op3' in str(all_txns) assert 'op4' in str(all_txns) assert 'op5' in str(all_txns) finally: await A.close() await B.close() await C.close() @pytest.mark.asyncio async def test_simple_consensus_commit_parallel( A: Agent, B: Agent, C: Agent, ledger_names: List[str], test_suite: ServerTestSuite ): A_params = test_suite.get_agent_params('agent1') B_params = test_suite.get_agent_params('agent2') C_params = test_suite.get_agent_params('agent3') await A.open() await B.open() await C.open() try: A2B = await get_pairwise(A, B) A2C = await get_pairwise(A, C) assert A2B.me == A2C.me B2A = await get_pairwise(B, A) B2C = await get_pairwise(B, C) assert B2A.me == B2C.me C2A = await get_pairwise(C, A) C2B = await get_pairwise(C, B) assert C2A.me == C2B.me participants = [ A2B.me.did, A2B.their.did, A2C.their.did ] genesis = [ {"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}, {"reqId": 2, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op2"} ] txns = [ {"reqId": 3, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3"}, {"reqId": 4, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op4"}, {"reqId": 5, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op5"}, ] # Init ledgers leader_ledgers = [] for name in ledger_names: ledger_of_leader, _ = await A.microledgers.create(name, genesis) leader_ledgers.append(ledger_of_leader) await B.microledgers.create(name, genesis) await C.microledgers.create(name, genesis) coro_committer = routine_of_txn_committer( A_params['server_address'], A_params['credentials'], A_params['p2p'], A2B.me, participants, leader_ledgers, txns ) coro_acceptor1 = routine_of_txn_acceptor( B_params['server_address'], B_params['credentials'], B_params['p2p'], ) coro_acceptor2 = routine_of_txn_acceptor( C_params['server_address'], C_params['credentials'], C_params['p2p'], ) stamp1 = datetime.now() print('> begin') await run_coroutines( coro_committer, coro_acceptor1, coro_acceptor2, timeout=60 ) print('> end') stamp2 = datetime.now() delta = stamp2 - stamp1 print(f'***** Consensus timeout: {delta.seconds}') for name in ledger_names: ledger_for_a = await A.microledgers.ledger(name) ledger_for_b = await B.microledgers.ledger(name) ledger_for_c = await C.microledgers.ledger(name) for ledger in [ledger_for_a, ledger_for_b, ledger_for_c]: all_txns = await ledger.get_all_transactions() assert 'op3' in str(all_txns) assert 'op4' in str(all_txns) assert 'op5' in str(all_txns) finally: await A.close() await B.close() await C.close() @pytest.mark.asyncio async def test_simple_consensus_error(A: Agent, B: Agent, C: Agent, ledger_name: str, test_suite: ServerTestSuite): A_params = test_suite.get_agent_params('agent1') B_params = test_suite.get_agent_params('agent2') C_params = test_suite.get_agent_params('agent3') await A.open() await B.open() await C.open() try: A2B = await get_pairwise(A, B) A2C = await get_pairwise(A, C) assert A2B.me == A2C.me B2A = await get_pairwise(B, A) B2C = await get_pairwise(B, C) assert B2A.me == B2C.me C2A = await get_pairwise(C, A) C2B = await get_pairwise(C, B) assert C2A.me == C2B.me participants = [ A2B.me.did, A2B.their.did, A2C.their.did ] genesis = [ {"reqId": 1, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op1"}, {"reqId": 2, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op2"} ] ledger_for_a, _ = await A.microledgers.create(ledger_name, genesis) initial_state_root_hash = ledger_for_a.root_hash await B.microledgers.create(ledger_name, genesis) await C.microledgers.create(ledger_name, genesis) txns = [ {"reqId": 3, "identifier": "5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3"}, {"reqId": 4, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op4"}, {"reqId": 5, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op5"}, ] broken_txns = [ {"reqId": 3, "identifier": "BROKEN-5rArie7XKukPCaEwq5XGQJnM9Fc5aZE3M9HAPVfMU2xC", "op": "op3", "txnMetadata": {"seqNo": 4}}, {"reqId": 4, "identifier": "BROKEN-2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op4", "txnMetadata": {"seqNo": 5}}, {"reqId": 5, "identifier": "2btLJAAb1S3x6hZYdVyAePjqtQYi2ZBSRGy4569RZu8h", "op": "op5", "txnMetadata": {"seqNo": 6}}, ] broken_txns = [Transaction(txn) for txn in broken_txns] coro_committer = routine_of_txn_committer( A_params['server_address'], A_params['credentials'], A_params['p2p'], A2B.me, participants, ledger_for_a, txns ) coro_acceptor1 = routine_of_txn_acceptor( B_params['server_address'], B_params['credentials'], B_params['p2p'], broken_txns ) coro_acceptor2 = routine_of_txn_acceptor( C_params['server_address'], C_params['credentials'], C_params['p2p'], broken_txns ) stamp1 = datetime.now() print('> begin') results = await run_coroutines(coro_committer, coro_acceptor1, coro_acceptor2, timeout=60) print('> end') stamp2 = datetime.now() delta = stamp2 - stamp1 print(f'***** Consensus timeout: {delta.seconds}') for res in results: if type(res) is tuple: val = res[0] else: val = res assert val is False ledger_for_a = await A.microledgers.ledger(ledger_name) ledger_for_b = await B.microledgers.ledger(ledger_name) ledger_for_c = await C.microledgers.ledger(ledger_name) for ledger in [ledger_for_a, ledger_for_b, ledger_for_c]: await ledger.reload() assert ledger.root_hash == initial_state_root_hash all_txns = await ledger.get_all_transactions() assert 'op3' not in str(all_txns) assert 'op4' not in str(all_txns) assert 'op5' not in str(all_txns) finally: await A.close() await B.close() await C.close()

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null

0

4

3a67ec9d3a6c2328c28a0a2c84924678d75d2470

489

py

Python

datastructure/practice/c2/r_2_16.py

stoneyangxu/python-kata

979af91c74718a525dcd2a83fe53ec6342af9741

[ "MIT" ]

null

datastructure/practice/c2/r_2_16.py

stoneyangxu/python-kata

979af91c74718a525dcd2a83fe53ec6342af9741

[ "MIT" ]

null

datastructure/practice/c2/r_2_16.py

stoneyangxu/python-kata

979af91c74718a525dcd2a83fe53ec6342af9741

[ "MIT" ]

null

import unittest def range_length(start, stop, step=1): return max(0, (stop - start + step - 1) // step) class MyTestCase(unittest.TestCase): def test_something(self): self.assertEqual(range_length(0, 10), 10) self.assertEqual(range_length(0, 10, 2), 5) self.assertEqual(range_length(0, 10, 3), 4) self.assertEqual(range_length(-10, 0, 3), 4) self.assertEqual(range_length(-10, 0, -3), 0) if __name__ == '__main__': unittest.main()

25.736842

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0

null

1

0

null

0

1

0

4

3ab6b548318e6c3e2103366ec5a6a484708b6f2a

53

py

Python

spring/user.py

hala21/ipaas

564721e2590f1e2f87e1cf3346e3c3e6b816dc3d

[ "Apache-2.0" ]

null

spring/user.py

hala21/ipaas

564721e2590f1e2f87e1cf3346e3c3e6b816dc3d

[ "Apache-2.0" ]

null

spring/user.py

hala21/ipaas

564721e2590f1e2f87e1cf3346e3c3e6b816dc3d

[ "Apache-2.0" ]

null

''' Created on 2015年8月4日 @author: Administrator '''

8.833333

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null

0

1

0

1

0

null

0

1

0

4

3aba48267c8654d64fe851de8739c1fde8db98a7

272

py

Python

main.py

Pixel2008/FlaskImageDownloader

3c4cac53a31adb2012e058c3f6c6dc82ad7e66c2

[ "bzip2-1.0.6" ]

null

main.py

Pixel2008/FlaskImageDownloader

3c4cac53a31adb2012e058c3f6c6dc82ad7e66c2

[ "bzip2-1.0.6" ]

null

main.py

Pixel2008/FlaskImageDownloader

3c4cac53a31adb2012e058c3f6c6dc82ad7e66c2

[ "bzip2-1.0.6" ]

null

#! python3 ''' Sample script for downloading all images from website Pixel2008 All Rights Reserved ® ''' from app import app, db from app.models import User, Post @app.shell_context_processor def make_shell_context(): return {'db': db, 'User': User, 'Post': Post}

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0.022026

0.165441

272

14

54

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0.828194

0.349265

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null

0

null

0

1

0

1

0

4

3aef8f7b69997f80abe56e8cb63cf27b2510a3c1

93

py

Python

src/festivals/apps.py

vineethvanga18/gymkhana_portal

9dcb108dab0fd9fe163c72013b6de3210d5c9cd5

[ "MIT" ]

16

2018-04-12T22:38:28.000Z

2020-08-19T16:06:33.000Z

src/festivals/apps.py

vineethvanga18/gymkhana_portal

9dcb108dab0fd9fe163c72013b6de3210d5c9cd5

[ "MIT" ]

36

2018-03-23T15:40:26.000Z

2021-06-10T17:51:23.000Z

src/festivals/apps.py

vineethvanga18/gymkhana_portal

9dcb108dab0fd9fe163c72013b6de3210d5c9cd5

[ "MIT" ]

46

2018-04-06T21:03:36.000Z

2021-11-03T04:39:27.000Z

from django.apps import AppConfig class FestivalsConfig(AppConfig): name = 'festivals'

15.5

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null

0

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0

1

0

4

3af6027749cdc39488934b86b14baa2979b6799a

729

py

Python

tests/adventofcode/util/test_math_helpers.py

Frazzer951/Advent-Of-Code

419a6b7915a529fd49215639db79dcf5bde9cab7

[ "MIT" ]

null

tests/adventofcode/util/test_math_helpers.py

Frazzer951/Advent-Of-Code

419a6b7915a529fd49215639db79dcf5bde9cab7

[ "MIT" ]

2

2022-02-02T15:59:34.000Z

2022-02-02T15:59:44.000Z

tests/adventofcode/util/test_math_helpers.py

Frazzer951/Advent-Of-Code

419a6b7915a529fd49215639db79dcf5bde9cab7

[ "MIT" ]

null

import pytest from adventofcode.util.math_helpers import gaussian_sum from adventofcode.util.math_helpers import mean_ceil from adventofcode.util.math_helpers import mean_floor @pytest.mark.parametrize("number", [*range(0, 10, 3)]) def test_gaussian_sum(number): assert gaussian_sum(number) == sum(range(1, number + 1)) @pytest.mark.parametrize(["target_list", "expected"], [([1, 2, 3, 4, 5], 3), ([13, 34, 45, 68, 5], 33)]) def test_mean_floor(target_list, expected): assert mean_floor(target_list) == expected @pytest.mark.parametrize(["target_list", "expected"], [([123, 34546, 341, 45], 8764), ([13, 34, 45, 68, 5], 33)]) def test_mean_ceil(target_list, expected): assert mean_ceil(target_list) == expected

36.45

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729

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null

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1

0

1

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1

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4

c9178fed97d4451cd5ca77c5d929a22d3d0b9a98

126

py

Python

Gustavo Guanabara - Python Learning Exercises/ex030 - Number Check [Exercise].py

TiagoPL/Python-Learning

20855433a8a050647ee9c5039aac1e50807324f8

[ "MIT" ]

null

Gustavo Guanabara - Python Learning Exercises/ex030 - Number Check [Exercise].py

TiagoPL/Python-Learning

20855433a8a050647ee9c5039aac1e50807324f8

[ "MIT" ]

null

Gustavo Guanabara - Python Learning Exercises/ex030 - Number Check [Exercise].py

TiagoPL/Python-Learning

20855433a8a050647ee9c5039aac1e50807324f8

[ "MIT" ]

null

n = int(input('Choose a number: ')) if n % 2 == 0: print('Thats an even number.') else: print('Thats an odd number.')

21

35

0.587302

21

126

3.52381

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0.27027

0.324324

0

0.020619

0.230159

126

5

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0

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1

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null

1

0

1

0

null

0

4

c9281f83de1db2882247233b6c738779c3ed2c30

461

py

Python

backend/apps/profile_app/profile_model.py

raphaelrpl/portal

9e84e52a73500390187d3fc7c4871cf8a3620231

[ "MIT" ]

null

backend/apps/profile_app/profile_model.py

raphaelrpl/portal

9e84e52a73500390187d3fc7c4871cf8a3620231

[ "MIT" ]

null

backend/apps/profile_app/profile_model.py

raphaelrpl/portal

9e84e52a73500390187d3fc7c4871cf8a3620231

[ "MIT" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import, unicode_literals from google.appengine.ext import ndb from gaegraph.model import Node from gaepermission.model import MainUser class Profile(Node): user = ndb.KeyProperty(MainUser, required=True) avatar = ndb.StringProperty(required=False) education = ndb.StringProperty(required=False) position = ndb.StringProperty(required=False) about = ndb.TextProperty(required=False)

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55

461

6.345455

0.563636

0.148997

0.2149

0.25788

0

0.002513

0.136659

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14

57

32.928571

0.874372

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0

1

0

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0

1

0

null

0

1

0

1

0

4

c93070156be707dd7e0dfe507a4132f0af8ad493

110

py

Python

autoencoding/data/__init__.py

perschi/Neural-Gas-VAE

cbe23f324b9979a5af36c23f062b122a946a8196

[ "MIT" ]

null

autoencoding/data/__init__.py

perschi/Neural-Gas-VAE

cbe23f324b9979a5af36c23f062b122a946a8196

[ "MIT" ]

null

autoencoding/data/__init__.py

perschi/Neural-Gas-VAE

cbe23f324b9979a5af36c23f062b122a946a8196

[ "MIT" ]

null

from .speechcommands import Speechcommands from .fashion_mnist import FashionMNIST from .cifar import CIFAR10

27.5

42

0.863636

13

110

7.230769

0.615385

0

0.020408

0.109091

110

3

43

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0

1

0

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1

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1

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null

0

1

0

null

0

1

0

1

0

4

c934369fc712d2cf8666d92a91e78c1345cc1e25

147

py

Python

Exercicios propostos/Ex 003.py

luks-rossato/curso-Python3

4d64f7927c23dedcf4e8c37c233d0bb062035029

[ "MIT" ]

null

Exercicios propostos/Ex 003.py

luks-rossato/curso-Python3

4d64f7927c23dedcf4e8c37c233d0bb062035029

[ "MIT" ]

null

Exercicios propostos/Ex 003.py

luks-rossato/curso-Python3

4d64f7927c23dedcf4e8c37c233d0bb062035029

[ "MIT" ]

null

n1 = int(input('Digite o numero 1:')) n2 = int(input('Digite o numero 2:')) s = n1+n2 print('A soma dos numeros {} e {} é: {} '.format(n1,n2,s))

21

58

0.585034

28

147

3.071429

0.642857

0.186047

0.325581

0.348837

0.488372

0

0.066667

0.183673

147

6

59

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0

0.469388

0

1

0

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0

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0

null

0

1

0

1

0

null

0

4

c96544fe0f0e3b25b912865a13067ac1a1dfbf2a

17

py

Python

jupiter/use_cases/__init__.py

horia141/jupiter

2c721d1d44e1cd2607ad9936e54a20ea254741dc

[ "MIT" ]

15

2019-05-05T14:34:58.000Z

2022-02-25T09:57:28.000Z

src/toml_validator/use_cases/__init__.py

staticdev/toml-validator

e3bc7a674c5ec1c996d7539616411784995869b1

[ "MIT" ]

92

2020-03-01T15:57:59.000Z

2021-02-16T18:48:53.000Z

jupiter/use_cases/__init__.py

horia141/jupiter

2c721d1d44e1cd2607ad9936e54a20ea254741dc

[ "MIT" ]

1

2020-08-25T00:43:21.000Z

"""Use cases."""

8.5

16

0.470588

2

17

4

1

0

0.117647

17

1

17

0.533333

0.588235

0

null

0

null

0

null

0

null

1

null

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0

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1

0

null

0

1

0

null

0

1

0

4

a338992fa94557a042858c7b1e77d16a7b3d9e37

334

py

Python

src/apps/productividad/admin.py

SGC-Tlaxcala/cerebro

6c842f66d849065a70002fccdb1eaca1e3d61d99

[ "MIT" ]

null

src/apps/productividad/admin.py

SGC-Tlaxcala/cerebro

6c842f66d849065a70002fccdb1eaca1e3d61d99

[ "MIT" ]

48

2017-04-21T17:35:23.000Z

2020-08-29T04:19:35.000Z

src/apps/productividad/admin.py

SGC-Tlaxcala/cerebro

6c842f66d849065a70002fccdb1eaca1e3d61d99

[ "MIT" ]

null

# coding: utf-8 """Área administrativa de productividad.""" from django.contrib import admin from apps.productividad.models import PronosticoTramites class PronosticoTramitesAdmin(admin.ModelAdmin): """Generador simple de administración del modelo""" pass admin.site.register(PronosticoTramites, PronosticoTramitesAdmin)

23.857143

64

0.799401

34

334

7.852941

0.764706

0

0.00339

0.116766

334

13

65

25.692308

0.901695

0.293413

0

1

0

true

0.2

0.4

0

0.6

0

null

0

null

0

1

0

1

0

4

a39b1e60be730c90e67639e4206ed8aca33f6e7d

242

py

Python

workflows/lexicology/visualization_views.py

xflows/textflows

7fd99cebe29bcb25ea21b8bfb7dca2d0b663ea2b

[ "MIT" ]

18

2015-07-29T07:14:41.000Z

2021-05-31T16:10:49.000Z

workflows/lexicology/visualization_views.py

xflows/textflows

7fd99cebe29bcb25ea21b8bfb7dca2d0b663ea2b

[ "MIT" ]

null

workflows/lexicology/visualization_views.py

xflows/textflows

7fd99cebe29bcb25ea21b8bfb7dca2d0b663ea2b

[ "MIT" ]

8

2016-02-05T10:13:40.000Z

2020-11-10T14:36:31.000Z

from django.shortcuts import render def read_string_in_slovene(request,input_dict,output_dict,widget): text=input_dict.get('text') return render(request, 'visualizations/read_string_in_slovene.html',{'widget':widget,'text':text})

26.888889

102

0.785124

34

242

5.323529

0.588235

0.110497

0.132597

0.209945

0

0.090909

242

8

103

30.25

0.822727

0

0.233333

0.175

0

1

0.25

false

0

0.25

0

0.75

0

null

0

1

0

1

0

null

0

1

0

1

0

4

6e6320fb812d023fbdd96e37f5697933fb2bf396

1,021

py

Python

diazotheme/uaic/browser/viewlets.py

smcmahon/diazotheme.uaic

364aac7aaf6826b17e58a91c311e67104f614651

[ "CNRI-Python" ]

null

diazotheme/uaic/browser/viewlets.py

smcmahon/diazotheme.uaic

364aac7aaf6826b17e58a91c311e67104f614651

[ "CNRI-Python" ]

null

diazotheme/uaic/browser/viewlets.py

smcmahon/diazotheme.uaic

364aac7aaf6826b17e58a91c311e67104f614651

[ "CNRI-Python" ]

null

from Products.Five.browser.pagetemplatefile import ViewPageTemplateFile from plone.app.layout.viewlets.common import ViewletBase # Sample code for a basic viewlet (In order to use it, you'll have to): # - Un-comment the following useable piece of code (viewlet python class). # - Rename the viewlet template file ('browser/viewlet.pt') and edit the # following python code accordingly. # - Edit the class and template to make them suit your needs. # - Make sure your viewlet is correctly registered in 'browser/configure.zcml'. # - If you need it to appear in a specific order inside its viewlet manager, # edit 'profiles/default/viewlets.xml' accordingly. # - Restart Zope. # - If you edited any file in 'profiles/default/', reinstall your package. # - Once you're happy with your viewlet implementation, remove any related # (unwanted) inline documentation ;-p #class MyViewlet(ViewletBase): # render = ViewPageTemplateFile('viewlet.pt') # # def update(self): # self.computed_value = 'any output'

46.409091

79

0.750245

141

1,021

5.425532

0.631206

0.031373

0

0.161606

1,021

21

80

48.619048

0.893692

0.837414

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

6e781425b3ac44db0301689748e2d4ab7f22410e

42

py

Python

pyexcel/__version__.py

hiaselhans/pyexcel

4c96909eaa7ec322f28207f43e41f1fff07d8123

[ "BSD-3-Clause" ]

1,045

2016-01-12T10:09:45.000Z

2022-03-21T18:43:02.000Z

pyexcel/__version__.py

hiaselhans/pyexcel

4c96909eaa7ec322f28207f43e41f1fff07d8123

[ "BSD-3-Clause" ]

231

2016-01-26T15:04:46.000Z

2022-03-18T10:13:07.000Z

pyexcel/__version__.py

hiaselhans/pyexcel

4c96909eaa7ec322f28207f43e41f1fff07d8123

[ "BSD-3-Clause" ]

157

2016-02-13T21:53:25.000Z

2022-03-05T15:16:48.000Z

__version__ = '0.7.0' __author__ = 'C.W.'

14

21

0.619048

7

42

2.571429

0.857143

0

0.083333

0.142857

42

2

22

21

0.416667

0

0.214286

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

6e80bd61cd54f6f27de32777d90944ceaa68c908

717

py

Python

scripts/templates/fastApiCrud/zarubaServiceName/repos/zarubaEntityName.py

sulthonzh/zaruba

ec9262f43da17d86330da2c593b7da451aabd60f

[ "Apache-2.0" ]

39

2020-03-13T19:41:11.000Z

2022-02-14T02:01:00.000Z

scripts/templates/fastApiCrud/zarubaServiceName/repos/zarubaEntityName.py

sulthonzh/zaruba

ec9262f43da17d86330da2c593b7da451aabd60f

[ "Apache-2.0" ]

5

2020-08-01T08:55:48.000Z

2022-02-10T00:55:39.000Z

scripts/templates/fastApiCrud/zarubaServiceName/repos/zarubaEntityName.py

sulthonzh/zaruba

ec9262f43da17d86330da2c593b7da451aabd60f

[ "Apache-2.0" ]

4

2020-11-10T20:45:12.000Z

2021-03-18T06:18:55.000Z

from typing import List from schemas.zarubaEntityName import ZarubaEntityName, ZarubaEntityNameData import abc class ZarubaEntityNameRepo(abc.ABC): @abc.abstractmethod def find_by_id(self, id: str) -> ZarubaEntityName: pass @abc.abstractmethod def find(self, keyword: str, limit: int, offset: int) -> List[ZarubaEntityName]: pass @abc.abstractmethod def insert(self, zaruba_entity_name_data: ZarubaEntityNameData) -> ZarubaEntityName: pass @abc.abstractmethod def update(self, id: str, zaruba_entity_name_data: ZarubaEntityNameData) -> ZarubaEntityName: pass @abc.abstractmethod def delete(self, id: str) -> ZarubaEntityName: pass

27.576923

97

0.715481

76

717

6.644737

0.381579

0.168317

0.19802

0.293069

0.550495

0.316832

0

0.202232

717

26

98

27.576923

0.882867

0

0.526316

0

1

0.263158

false

0.263158

0.157895

0

0.473684

0

null

0

1

0

null

0

1

0

1

0

4

6ec2846917e19d56b9a46ca5be4dbb9e4b891fb1

177

py

Python

test/python_rules/data_dep.py

samwestmoreland/please

1616742eeefca3dd0b3194e4c1ec9a8542ec13c7

[ "Apache-2.0" ]

1,992

2016-08-08T11:14:10.000Z

2022-03-31T08:29:57.000Z

test/python_rules/data_dep.py

samwestmoreland/please

1616742eeefca3dd0b3194e4c1ec9a8542ec13c7

[ "Apache-2.0" ]

1,059

2016-08-03T17:11:37.000Z

2022-03-30T16:27:30.000Z

test/python_rules/data_dep.py

samwestmoreland/please

1616742eeefca3dd0b3194e4c1ec9a8542ec13c7

[ "Apache-2.0" ]

213

2016-12-09T15:37:00.000Z

2022-03-23T23:08:26.000Z

"""Part of a test on deps, data, requires and provides.""" from __future__ import print_function def the_answer(): return 42 if __name__ == '__main__': print('42')

14.75

58

0.677966

25

177

4.24

0.92

0

0.028369

0.20339

177

11

59

16.090909

0.723404

0.293785

0

0.084034

0

1

0.2

true

0

0.2

0.6

0.4

1

0

null

0

null

0

1

0

1

0

4

6ed9c5289052bc1d6b46a450cad6bae635acdae0

33

py

Python

DjangoBICAP/DjangoBICAP/__init__.py

SgozziCoders/BICAP-backend

272bfc67df1df49e30d99cf055eac7d7e3810b7a

[ "MIT" ]

null

DjangoBICAP/DjangoBICAP/__init__.py

SgozziCoders/BICAP-backend

272bfc67df1df49e30d99cf055eac7d7e3810b7a

[ "MIT" ]

null

DjangoBICAP/DjangoBICAP/__init__.py

SgozziCoders/BICAP-backend

272bfc67df1df49e30d99cf055eac7d7e3810b7a

[ "MIT" ]

null

""" Package for DjangoBICAP. """

8.25

24

0.636364

3

33

7

1

0

0.151515

33

3

25

11

0.75

0.727273

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

null

0

1

0

4

42b2e6af25ccb6a14eb643922290e8c2581542dd

65

py

Python

model/db.py

franckisses/tornado_daily

bde1395472ae7acb490b378a8634011ecab34807

[ "MIT" ]

null

model/db.py

franckisses/tornado_daily

bde1395472ae7acb490b378a8634011ecab34807

[ "MIT" ]

null

model/db.py

franckisses/tornado_daily

bde1395472ae7acb490b378a8634011ecab34807

[ "MIT" ]

null

class Dbconnection: def __init__(self): self.__co

9.285714

23

0.615385

7

65

4.857143

0.857143

0

0.307692

65

7

24

9.285714

0.755556

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

42b424166aed2b65eb58581f9e0b53d61548adf5

74

py

Python

D01/tuple.py

shdx8/dtwrhs

108decb8056931fc7601ed455a72ef0d65983ab0

[ "MIT" ]

null

D01/tuple.py

shdx8/dtwrhs

108decb8056931fc7601ed455a72ef0d65983ab0

[ "MIT" ]

null

D01/tuple.py

shdx8/dtwrhs

108decb8056931fc7601ed455a72ef0d65983ab0

[ "MIT" ]

null

#TUPLE AKAN DIULAS PADA PERTEMUAN BERIKUTNYA a = (255,255, 255) print (a)

18.5

44

0.72973

12

74

4.5

0.75

0.222222

0

0.145161

0.162162

74

3

45

24.666667

0.725806

0.581081

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

42ba00c6ebbb370c6bea67d18ca803b55d56125a

605

py

Python

simpleoncall/api/v1/urls.py

simpleoncall/simpleoncall

ffc247045c7ce357871899c84fdfc61f4add06a9

[ "MIT" ]

1

2016-01-11T21:37:44.000Z

simpleoncall/api/v1/urls.py

simpleoncall/simpleoncall

ffc247045c7ce357871899c84fdfc61f4add06a9

[ "MIT" ]

48

2015-01-04T16:04:20.000Z

2015-01-25T20:53:49.000Z

simpleoncall/api/v1/urls.py

simpleoncall/simpleoncall

ffc247045c7ce357871899c84fdfc61f4add06a9

[ "MIT" ]

null

from django.conf.urls import patterns, url urlpatterns = patterns( '', url(r'^$', 'simpleoncall.api.v1.views.index', name='index'), url(r'^whose/oncall$', 'simpleoncall.api.v1.views.whose_oncall', name='whose-oncall'), url(r'^alert/add$', 'simpleoncall.api.v1.views.alert_create', name='alert-add'), url(r'^alert/update$', 'simpleoncall.api.v1.views.alert_update', name='alert-update'), url(r'^alerts$', 'simpleoncall.api.v1.views.alerts_list', name='alerts-list'), url(r'^integration/datadog$', 'simpleoncall.api.v1.views.datadog_integration', name='integration-datadog'), )

50.416667

111

0.697521

82

605

5.085366

0.304878

0.057554

0.244604

0.316547

0.129496

0

0.010949

0.094215

605

11

112

55

0.75

0

0.603306

0.409917

0

1

0

false

0

0.1

0

0.1

0

null

0

1

0

1

null

0

4

42c89be1d1b86a202cc45bf8f9b35b78ec3defa4

222

py

Python

lippukala_tests/test_admin.py

kcsry/lippukala

05f11d14d3cb86a59a4a1ec2bbb403ac303a6c3b

[ "MIT" ]

1

2019-03-04T15:35:39.000Z

lippukala_tests/test_admin.py

kcsry/lippukala

05f11d14d3cb86a59a4a1ec2bbb403ac303a6c3b

[ "MIT" ]

8

2016-03-26T10:07:16.000Z

2020-12-10T09:06:36.000Z

lippukala_tests/test_admin.py

kcsry/lippukala

05f11d14d3cb86a59a4a1ec2bbb403ac303a6c3b

[ "MIT" ]

null

import pytest @pytest.mark.django_db def test_admin_smoke(admin_client): assert admin_client.get("/admin/lippukala/code/").status_code == 200 assert admin_client.get("/admin/lippukala/order/").status_code == 200

27.75

73

0.761261

32

222

5.03125

0.53125

0.204969

0.21118

0.248447

0.42236

0

0.030151

0.103604

222

7

74

31.714286

0.778894

0

0.202703

0

0.4

1

0.2

false

0

0.2

0

0.4

0

null

1

0

1

0

null

0

4

42e0d24f5e9d5d162a905c69308ca05b3b8246c2

88

py

Python

nglp/precompute/precompute.py

mauromsl/NGLP-Analytics

d6df05f82dbf2ffa5e136a20b6e89f7ef3bcbef2

[ "MIT" ]

null

nglp/precompute/precompute.py

mauromsl/NGLP-Analytics

d6df05f82dbf2ffa5e136a20b6e89f7ef3bcbef2

[ "MIT" ]

54

2021-04-28T05:14:45.000Z

2021-12-10T09:14:28.000Z

nglp/precompute/precompute.py

mauromsl/NGLP-Analytics

d6df05f82dbf2ffa5e136a20b6e89f7ef3bcbef2

[ "MIT" ]

1

2022-03-09T16:09:25.000Z

class Precompute: def run(self, object_id: str): raise NotImplementedError()

29.333333

35

0.693182

10

88

6

1

0

0.215909

88

3

35

29.333333

0.869565

0

1

0.333333

false

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

42e75d6af955207366d58eabde55a5af21b4886c

953

py

Python

setup.py

JackLeeMing/nameko_mongo

9d26282391925ce6bd1fd6ca28815b1b1bd83aba

[ "MIT" ]

null

setup.py

JackLeeMing/nameko_mongo

9d26282391925ce6bd1fd6ca28815b1b1bd83aba

[ "MIT" ]

null

setup.py

JackLeeMing/nameko_mongo

9d26282391925ce6bd1fd6ca28815b1b1bd83aba

[ "MIT" ]

null

from setuptools import setup setup( name='nameko_mongo_util', version='1.0.2', url='https://github.com/JackLeeMing/nameko_mongo.git', license='MIT', author='Jaque', author_email='1285879942@qq.com', packages=["nameko_mongo_util"], package_data={'':['*.*']}, install_requires=[ "nameko", "tornado", "pymongo", ], description='Redis dependency for nameko services', classifiers=[ 'Development Status :: 3 - Alpha', 'License :: OSI Approved :: Apache Software License', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.4', ], )

30.741935

61

0.582371

96

953

5.697917

0.552083

0.277879

0.365631

0.285192

0.149909

0

0.039548

0.257083

953

31

62

30.741935

0.733051

0

0.137931

0

0.569182

0

1

0

true

0

0.034483

0

0.034483

0

null

1

0

null

0

1

0

4

42f59be18caef447da9d8d097cb71bf4d2fe8a92

405

py

Python

src/tests/dataclass_bakery/generators/test_random_uuid_generator.py

miguelFLG13/dataclass-bakery

413b5b88ced200e4208e9a25edf520bfc7c31ca5

[ "Apache-2.0" ]

1

2021-10-10T04:52:31.000Z

src/tests/dataclass_bakery/generators/test_random_uuid_generator.py

miguelFLG13/dataclass-bakery

413b5b88ced200e4208e9a25edf520bfc7c31ca5

[ "Apache-2.0" ]

null

src/tests/dataclass_bakery/generators/test_random_uuid_generator.py

miguelFLG13/dataclass-bakery

413b5b88ced200e4208e9a25edf520bfc7c31ca5

[ "Apache-2.0" ]

2

2021-06-05T18:41:50.000Z

2022-03-28T02:05:11.000Z

from unittest import TestCase from uuid import UUID from dataclass_bakery.generators.random_uuid_generator import RandomUuidGenerator class TestRandomUuidGenerator(TestCase): def setUp(self): self.random_uuid_generator = RandomUuidGenerator() def test_generate_uuid_ok(self): random_uuid = self.random_uuid_generator.generate() self.assertIsInstance(random_uuid, UUID)

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4

42f80641b66db9ef0b0d1fb8a2fd4a22058b0c4a

679

py

Python

trajminer/classification/traclass.py

ybj94/trajminer

7355344be8fe763ba2583b6f508fefc3290c9849

[ "MIT" ]

37

2019-04-04T19:27:26.000Z

2021-12-22T07:10:13.000Z

trajminer/classification/traclass.py

ybj94/trajminer

7355344be8fe763ba2583b6f508fefc3290c9849

[ "MIT" ]

26

2019-04-04T19:20:44.000Z

2021-12-22T07:56:53.000Z

trajminer/classification/traclass.py

ybj94/trajminer

7355344be8fe763ba2583b6f508fefc3290c9849

[ "MIT" ]

9

2019-04-04T19:17:05.000Z

2019-11-05T15:06:21.000Z

from .base import Classifier class TraClass(Classifier): """TraClass: Trajectory Classification Using Hierarchical Region-Based and Trajectory-Based Clustering. Parameters ---------- TO-DO References ---------- `Lee, J. G., Han, J., Li, X., & Gonzalez, H. (2008). TraClass: trajectory classification using hierarchical region-based and trajectory-based clustering. Proceedings of the VLDB Endowment, 1(1), 1081-1094. <https://dl.acm.org/citation.cfm?id=1453972>`__ """ def __init__(self): pass def fit(self, X, y): pass def predict(self, X): pass def score(self, X, y): pass

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0

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4

6e030643a051c6deaae5974fb3d7587eb5cf9f95

277

py

Python

Assignment Solution/Module4-master/Module4_CaseStudy1_Q6_Ans.py

krdhakal/Edureka-HW-Solutions-of-Data-Science-for-Python-Certification

2332839d25cca3ee8036d6dda7360a3b31824d6b

[ "MIT" ]

null

Assignment Solution/Module4-master/Module4_CaseStudy1_Q6_Ans.py

krdhakal/Edureka-HW-Solutions-of-Data-Science-for-Python-Certification

2332839d25cca3ee8036d6dda7360a3b31824d6b

[ "MIT" ]

null

Assignment Solution/Module4-master/Module4_CaseStudy1_Q6_Ans.py

krdhakal/Edureka-HW-Solutions-of-Data-Science-for-Python-Certification

2332839d25cca3ee8036d6dda7360a3b31824d6b

[ "MIT" ]

null

# Create a numpy array [[0, 1, 2],[ 3, 4, 5],[ 6, 7, 8],[ 9,10, 11]] and filter the elements greater than 5 import numpy arr=numpy.array([[0, 1, 2],[3, 4, 5],[6, 7, 8],[9,10, 11]]) x=arr>5 print 'Main Array',arr print 'Greater than 5',x print 'Greater than 5 elements',arr[x]

30.777778

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277

2.881356

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0.141176

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0

1

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1

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4

6e2bbf035d2e9904203252d9420d7300c7faba9a

209

py

Python

exercicios_curso_em_video/Exercicio 11.py

Sposigor/Caminho_do_Python

e84d74e9dc89c0966f931a94cb9ebe3ee4671b6d

[ "MIT" ]

1

2021-01-13T18:07:46.000Z

exercicios_curso_em_video/Exercicio 11.py

Sposigor/Caminho_do_Python

e84d74e9dc89c0966f931a94cb9ebe3ee4671b6d

[ "MIT" ]

null

exercicios_curso_em_video/Exercicio 11.py

Sposigor/Caminho_do_Python

e84d74e9dc89c0966f931a94cb9ebe3ee4671b6d

[ "MIT" ]

null

L = float(input('Largura da parede: ')) A = float(input('Altura da parede: ')) print(f'Sua parede tem a dimensão de {L}x{A} e sua área de {L*A}m²') print(f'Precisa de {(L*A)/2} litros de tinta para pintá la')

41.8

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1

0

null

0

1

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4

6e2c0153a1901ee64b82fc182a76f7679e511cd0

248

py

Python

pine/pk_utils.py

tokuzfunpi/pine

1c42d4f23e388dfc651aa16f1a26b8496adfaf0c

[ "Apache-2.0" ]

null

pine/pk_utils.py

tokuzfunpi/pine

1c42d4f23e388dfc651aa16f1a26b8496adfaf0c

[ "Apache-2.0" ]

null

pine/pk_utils.py

tokuzfunpi/pine

1c42d4f23e388dfc651aa16f1a26b8496adfaf0c

[ "Apache-2.0" ]

null

import pickle def read_pickle(file_name): data = None with open(file_name, 'r') as fd : data = pickle.load(fd) return data def write_pickle(file_name, data): with open(file_name, 'w') as fd : pickle.dump(data, fd)

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null

1

0

null

0

1

0

4

6e3656e84977c5522e7cc07fd18b8ef3902ed6e7

107

py

Python

dmango/apps.py

Oppoin/dmango

5c820afef8d52e9be50c87cd78356cbaedfde158

[ "MIT" ]

null

dmango/apps.py

Oppoin/dmango

5c820afef8d52e9be50c87cd78356cbaedfde158

[ "MIT" ]

null

dmango/apps.py

Oppoin/dmango

5c820afef8d52e9be50c87cd78356cbaedfde158

[ "MIT" ]

null

# -*- coding: utf-8 from django.apps import AppConfig class DmangoConfig(AppConfig): name = 'dmango'

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0.700935

13

107

5.769231

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0

null

0

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0

4

281667757bff8b9420173562228750d27fe24aed

1,402

py

Python

managedb/change.py

peter-de-boer/ponzischeme_webapp

6b2a71dd61ac14bd364a6228191fc76b23fdfef0

[ "MIT" ]

2

2019-07-25T15:44:31.000Z

2020-10-07T15:24:45.000Z

managedb/change.py

peter-de-boer/ponzischeme_webapp

6b2a71dd61ac14bd364a6228191fc76b23fdfef0

[ "MIT" ]

5

2021-03-08T22:51:24.000Z

2022-02-26T07:01:07.000Z

managedb/change.py

peter-de-boer/ponzischeme_webapp

6b2a71dd61ac14bd364a6228191fc76b23fdfef0

[ "MIT" ]

null

# template for changing the db from backend.db import engine, Base from backend.models import User, GameModel, Notes import jsonpickle import copy from werkzeug.security import generate_password_hash, check_password_hash Base.metadata.create_all(engine) from sqlalchemy.orm import sessionmaker Session = sessionmaker(bind=engine) session = Session() ''' gameToBeDeleted = session.query(GameModel).filter(GameModel.id==13).first() session.delete(gameToBeDeleted) ''' ''' findName = "<old_username>" newName = "<new_username>" userToBeChanged = session.query(User) \ .filter(User.username==findName) \ .first() user_games = session.query(GameModel) \ .join(User, GameModel.players) \ .filter(User.username == findName) for gms in user_games: print(gms.id) gmp = gms.game if gmp is not None: gm = jsonpickle.decode(gmp) for plr in gm.players: print(plr.name) if plr.name==findName: plr.changeName(newName) print("after change:") for plr in gm.players: print(plr.name) gms.game = jsonpickle.encode(gm) userToBeChanged.username = newName ''' ''' usr=session.query(User).filter(User.email=="<email>").first() password="<new_password>" hashed_password = generate_password_hash(password) usr.password = hashed_password ''' session.commit() session.close()

21.569231

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null

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1

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4

28605ec57b6279a4f19f620f42237b740aa5652c

211

py

Python

nym_embeddings/pywsd/new_lesk.py

c0ntradicti0n/KnowledgeScience

7dd6b9ec532a1fbd9b12ea1980d0c7e9c8539ae5

[ "Info-ZIP" ]

10

2021-05-31T07:18:08.000Z

2022-03-19T09:20:11.000Z

nym_embeddings/pywsd/new_lesk.py

c0ntradicti0n/allennlp_vs_ampligraph

00b984db38615a3197b2120d88363b0bee408982

[ "Info-ZIP" ]

4

2020-01-28T23:03:03.000Z

2022-02-10T00:30:10.000Z

nym_embeddings/pywsd/new_lesk.py

c0ntradicti0n/Distinctiopus4

cf7982613f86f9d12c9f45a9f678be5d59f8fb3c

[ "MIT" ]

2

2021-12-09T07:23:21.000Z

2022-03-31T06:13:10.000Z

#!/usr/bin/env python -*- coding: utf-8 -*- # # Python Word Sense Disambiguation (pyWSD) # # Copyright (C) 2014-2017 alvations # URL: https://github.com/alvations/pywsd # For license information, see LICENSE.md

26.375

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7

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0

null

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null

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null

0

1

0

1

0

null

0

1

0

4

2861ac6cd6e4bf2174c56aa2f73d804861e63bfd

398

py

Python

L4/pyL4/src/independent/OneUseFrozenDict.py

Marcao02/complaw-deeptech

4c2af1bdd885bc2fb7e14dc14c11fed30f8f3428

[ "Apache-2.0" ]

null

L4/pyL4/src/independent/OneUseFrozenDict.py

Marcao02/complaw-deeptech

4c2af1bdd885bc2fb7e14dc14c11fed30f8f3428

[ "Apache-2.0" ]

null

L4/pyL4/src/independent/OneUseFrozenDict.py

Marcao02/complaw-deeptech

4c2af1bdd885bc2fb7e14dc14c11fed30f8f3428

[ "Apache-2.0" ]

null

from typing import TypeVar, Dict K = TypeVar('K') V = TypeVar('V') NoMutating = Exception("mutating not allowed") class OneUseFrozenDict(Dict[K, V]): def __set__(self, k: K, v: V): raise NoMutating def clear(self): raise NoMutating def pop(self): raise NoMutating def popitem(self): raise NoMutating def update(self): raise NoMutating

20.947368

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18

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22.111111

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0.466667

0

null

1

0

null

0

1

0

4

288593f0aba24ae9c8c87fd652c84f0ef2820b60

206

py

Python

myhvac_web/myhvac_service/api.py

alanquillin/myhvac_web

645dd750d55118eb2a5c8648b9ea1c959af7b654

[ "Apache-2.0" ]

null

myhvac_web/myhvac_service/api.py

alanquillin/myhvac_web

645dd750d55118eb2a5c8648b9ea1c959af7b654

[ "Apache-2.0" ]

null

myhvac_web/myhvac_service/api.py

alanquillin/myhvac_web

645dd750d55118eb2a5c8648b9ea1c959af7b654

[ "Apache-2.0" ]

null

from myhvac_web.myhvac_service import factory import logging LOG = logging.getLogger(__name__) def get_system_state(): service = factory.get_service_module() return service.get_system_state()

15.846154

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15.846154

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0

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0

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null

0

1

0

null

0

1

0

1

0

4

289f20d0e79e350caa803793636867a0ce7c9808

64

py

Python

CodeWars/8 Kyu/Super Duper Easy.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/8 Kyu/Super Duper Easy.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

CodeWars/8 Kyu/Super Duper Easy.py

anubhab-code/Competitive-Programming

de28cb7d44044b9e7d8bdb475da61e37c018ac35

[ "MIT" ]

null

def problem(a): return 'Error' if type(a) is str else a*50+6

32

48

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14

64

3

0.857143

0

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0.203125

64

2

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null

0

1

0

null

0

1

0

1

0

4

9551009b1bbcae72d01f81bc19e33ba81c7c27e2

410

py

Python

exercises/concept/chaitanas-colossal-coaster/list_methods.py

SaschaMann/python

e34801a4c647635e5eb3fd4e2c41c68784b19ec7

[ "MIT" ]

200

2019-12-12T13:50:59.000Z

2022-02-20T22:38:42.000Z

exercises/concept/chaitanas-colossal-coaster/list_methods.py

SaschaMann/python

e34801a4c647635e5eb3fd4e2c41c68784b19ec7

[ "MIT" ]

1,938

2019-12-12T08:07:10.000Z

2021-01-29T12:56:13.000Z

exercises/concept/chaitanas-colossal-coaster/list_methods.py

SaschaMann/python

e34801a4c647635e5eb3fd4e2c41c68784b19ec7

[ "MIT" ]

239

2019-12-12T14:09:08.000Z

2022-03-18T00:04:07.000Z

def add_me_to_the_queue(express_queue, normal_queue, ticket_type, person_name): pass def find_his_friend(queue, friend_name): pass def add_person_with_his_friends(queue, index, person_name): pass def remove_the_mean_person(queue, person_name): pass def how_many_namefellows(queue, person_name): pass def remove_the_last_person(queue): pass def sorted_names(queue): pass

15.185185

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0.760976

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410

4.52381

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0.147368

0.192982

0.238596

0.277193

0.182456

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0.168293

410

26

80

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0

0.5

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null

0

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0

null

0

1

0

1

0

4

955348d59c98eef9bde36561663dc6d05ec25c07

232

py

Python

shorty/views.py

druvdub/urlshortener-notsoeasy

a42367849aafd2a5410b7b6adc083fa3530f9e9a

[ "Apache-2.0" ]

null

shorty/views.py

druvdub/urlshortener-notsoeasy

a42367849aafd2a5410b7b6adc083fa3530f9e9a

[ "Apache-2.0" ]

null

shorty/views.py

druvdub/urlshortener-notsoeasy

a42367849aafd2a5410b7b6adc083fa3530f9e9a

[ "Apache-2.0" ]

null

from django.shortcuts import get_object_or_404, redirect from .models import URL def root(request, url_hash): url = get_object_or_404(URL, url_hash = url_hash) url.clicked() return redirect(url.full_url)

19.333333

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4.428571

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0.193548

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0

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11

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0

1

0

null

0

1

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1

0

4

957e45bb5016f1c0208a555b678fda14015d9467

4,172

py

Python

examples/nio02.py

yang69can/pyngl

78a7040ce9de4b7a442b0c3b5faecccab2f01426

[ "Apache-2.0" ]

125

2016-11-24T09:04:28.000Z

2022-01-22T14:06:56.000Z

examples/nio02.py

yang69can/pyngl

78a7040ce9de4b7a442b0c3b5faecccab2f01426

[ "Apache-2.0" ]

52

2017-11-08T23:23:02.000Z

2022-03-20T03:17:39.000Z

examples/nio02.py

yang69can/pyngl

78a7040ce9de4b7a442b0c3b5faecccab2f01426

[ "Apache-2.0" ]

25

2017-08-27T10:50:43.000Z

2022-01-29T14:56:05.000Z

# # File: # nio02.py # # Synopsis: # Demonstrates PyNIO docstrings # # Category: # Processing. # # Author: # Dave Brown # # Date of original publication: # June, 2006 # # Description: # This example reads NetCDF file 'pop.nc' only to provide # an instance of the NioFile and NioVariable classes. # It prints all available docstrings in a systematic way, # # Effects illustrated: # o Reading a NetCDF file, and learning to use PyNIO through # its self-documenting docstrings. # # Output: # None # # Notes: # from __future__ import print_function import numpy import Nio import Ngl import os print(""" This example prints all Nio docstrings. For clarity each docstring is bracketed by a line of equal signs, and preceded by a comment naming the particular docstring. """) # # print the Nio summary documentation # print("The Nio docstring (Nio.__doc__):") print("=======================================================================") print(Nio.__doc__) print("=======================================================================") print("The NioOptions constructor options docstring (Nio.options.__doc__):") print("=======================================================================") print(Nio.options.__doc__) print("=======================================================================") # create an NioOptions object opt = Nio.options() print("The NioOptions class docstring (opt.__doc__):") print("=======================================================================") print(opt.__doc__) print("=======================================================================") print("The NioFile constructor open_file docstring (Nio.open_file.__doc__):") print("=======================================================================") print(Nio.open_file.__doc__) print("=======================================================================") # # Read the file pop.nc # dirc = Ngl.pynglpath("data") f = Nio.open_file(os.path.join(dirc,"cdf","pop.nc")) print("The NioFile object docstring (f.__doc__):") print("=======================================================================") print(f.__doc__) print("=======================================================================") print("The close method docstring (f.close.__doc__):") print("=======================================================================") print(f.close.__doc__) print("=======================================================================") print("The create_dimension method docstring (f.create_dimension.__doc__):") print("=======================================================================") print(f.create_dimension.__doc__) print("=======================================================================") print("The create_variable method docstring (f.create_variable.__doc__):") print("=======================================================================") print(f.create_variable.__doc__) print("=======================================================================") v = f.variables['t'] print("The NioVariable object docstring (f.variables['varname'].__doc__):") print("=======================================================================") print(v.__doc__) print("=======================================================================") print("The assign_value method docstring (f.variables['varname'].assign_value.__doc__):") print("=======================================================================") print(v.assign_value.__doc__) print("=======================================================================") print("The get_value method docstring (f.variables['varname'].get_value.__doc__):") print("=======================================================================") print(v.get_value.__doc__) print("=======================================================================") print("The typecode method docstring (f.variables['varname'].typecode.__doc__):") print("=======================================================================") print(v.typecode.__doc__) print("=======================================================================") f.close()

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null

0

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95922bc3363f008cb23e98aeb1273ffbb0bba860

202

py

Python

pythonCode/rosenum.py

eatmore/python_practice

c6a773c8d24182b23a86fd9b66b27b5ff948b258

[ "MIT" ]

null

pythonCode/rosenum.py

eatmore/python_practice

c6a773c8d24182b23a86fd9b66b27b5ff948b258

[ "MIT" ]

null

pythonCode/rosenum.py

eatmore/python_practice

c6a773c8d24182b23a86fd9b66b27b5ff948b258

[ "MIT" ]

1

2020-03-12T06:05:38.000Z

for i in range(1000, 10000): a = int(str(i)[0]) b = int(str(i)[1]) c = int(str(i)[2]) d = int(str(i)[3]) n = pow(a,4) + pow(b,4) + pow(c,4) + pow(d,4) if n == i: print(i)

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1

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1

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null

0

4

959b37a776a87b7b242cb2e8c5a3c899469d86d6

128

py

Python

Mundo 1/ex_027.py

Shock3/Python_Exercicios

4420569e881b883728168aabe76b0e9f3a42597f

[ "MIT" ]

null

Mundo 1/ex_027.py

Shock3/Python_Exercicios

4420569e881b883728168aabe76b0e9f3a42597f

[ "MIT" ]

null

Mundo 1/ex_027.py

Shock3/Python_Exercicios

4420569e881b883728168aabe76b0e9f3a42597f

[ "MIT" ]

null

""" Faça um programa que leia o nome completo de uma pessoa, mostrando em seguida o primeiro e o último nome separadamente. """

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21

128

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128

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25.6

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null

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null

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0

1

0

null

0

1

0

4

25146e93cf264fffebd5736f85dc1e6797d6e572

28

py

Python

oildrum/plugins/__init__.py

ericsk/google-app-engine-oil

742740a4e692d23e06d99182eea62b5bc1c79175

[ "Apache-2.0" ]

1

2015-10-18T10:21:06.000Z

oildrum/plugins/__init__.py

ericsk/google-app-engine-oil

742740a4e692d23e06d99182eea62b5bc1c79175

[ "Apache-2.0" ]

null

oildrum/plugins/__init__.py

ericsk/google-app-engine-oil

742740a4e692d23e06d99182eea62b5bc1c79175

[ "Apache-2.0" ]

null

"""Custom plugins package"""

28

0.714286

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28

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null

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1

0

null

0

1

0

4

25228805280d58681b77a52c4eb55c5eaa95b4d5

442

py

Python

db/Where.py

NewGr8Player/json-redis-demo

ad5d97b360c50afe04041ab8539d15d5c639969c

[ "MIT" ]

null

db/Where.py

NewGr8Player/json-redis-demo

ad5d97b360c50afe04041ab8539d15d5c639969c

[ "MIT" ]

null

db/Where.py

NewGr8Player/json-redis-demo

ad5d97b360c50afe04041ab8539d15d5c639969c

[ "MIT" ]

null

class Where: """ 查询条件 """ # 查询字段名 __field = None # 查询表达式 __express = None # 字段值 __value = None def __init__(self, _field, _express, _value): self.__field = _field self.__express = _express self.__value = _value def get_field(self): return self.__field def get_express(self): return self.__express def get_value(self): return self.__value

17.68

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0.576923

48

442

4.666667

0.3125

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0.1875

0

0.339367

442

24

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0

0.214286

0.785714

0

null

0

1

0

null

0

1

0

1

0

4

25232d223a9edc5e7ce2270070e27c357958c2f1

136

py

Python

custom/filler.py

saudzahirr/videos

538a5f62f3f7c973e06763ef9da9bb8ec3f5006c

[ "MIT" ]

3

2021-12-22T16:36:05.000Z

2022-03-22T06:44:42.000Z

custom/filler.py

saudzahirr/videos

538a5f62f3f7c973e06763ef9da9bb8ec3f5006c

[ "MIT" ]

2

2022-01-25T17:15:02.000Z

2022-02-05T06:02:54.000Z

custom/filler.py

saudzahirr/videos

538a5f62f3f7c973e06763ef9da9bb8ec3f5006c

[ "MIT" ]

null

from manim import Scene class ExternallyAnimatedScene(Scene): def construct(self): raise Exception("Externally Animated!")

22.666667

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14

136

7.214286

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136

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0

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1

0

4

25424e6b47cddfeacf5c7ab19cd28416327273c7

13,878

py

Python

evaluation/bin/diff/diff_utils_test.py

ckorzen/pdf-text-extraction-benchmark

47b456f7c5c445b5087200d2ce4051647a9cbbf6

[ "MIT" ]

34

2018-05-16T17:50:10.000Z

2021-09-12T19:40:40.000Z

evaluation/bin/diff/diff_utils_test.py

e-sim/pdf-text-extraction-benchmark

42eede9867e5795a6fc040b0a7ce92da3ddd3120

[ "MIT" ]

1

2017-06-20T10:31:15.000Z

2017-08-08T20:10:16.000Z

evaluation/bin/diff/diff_utils_test.py

e-sim/pdf-text-extraction-benchmark

42eede9867e5795a6fc040b0a7ce92da3ddd3120

[ "MIT" ]

10

2018-07-07T15:37:45.000Z

2021-01-28T07:06:27.000Z

import unittest import word_diff from diff_utils import string_to_diff_words from diff_utils import filter_special_chars from diff_utils import compose_characters from diff_utils import split_into_paras_and_words from diff_utils import split from diff_utils import is_special_character from diff_utils import flatten_list class DiffUtilsTest(unittest.TestCase): """ Tests for diff_utils.""" def test_string_to_diff_words_1(self): """ Tests the method string_to_diff_words(). """ words = string_to_diff_words(None) self.assertEqual(words, []) words = string_to_diff_words("") self.assertEqual(words, []) words = string_to_diff_words("A") words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(a,A,A,None,None)]") words = string_to_diff_words("A B") words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(a,A,A ,None,b),(b,B,B,a,None)]") words = string_to_diff_words("A B C") words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(a,A,A ,None,b),(b,B,B ,a,c),(c,C,C,b,None)]") words = string_to_diff_words("A \n\n B \n\n C") words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(a,A,A \n\n ,None,b),(b,B,B \n\n ,a,c),(c,C,C,b,None)]") def test_string_to_diff_words_2(self): """ Tests the method string_to_diff_words() with flatten=False. """ words = string_to_diff_words(None, flatten=False) self.assertEqual(words, []) words = string_to_diff_words("", flatten=False) self.assertEqual(words, []) words = string_to_diff_words("A", flatten=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[[(a,A,A,None,None)]]") words = string_to_diff_words("A B", flatten=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[[(a,A,A ,None,b),(b,B,B,a,None)]]") words = string_to_diff_words("A B C", flatten=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[[(a,A,A ,None,b),(b,B,B ,a,c),(c,C,C,b,None)]]") words = string_to_diff_words("A \n\n B \n\n C", flatten=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[[(a,A,A \n\n ,None,b)],[(b,B,B \n\n ,a,c)],[(c,C,C,b,None)]]") def test_string_to_diff_words_3(self): """ Tests the method string_to_diff_words() with to_lower=False. """ words = string_to_diff_words(None, to_lower=False) self.assertEqual(words, []) words = string_to_diff_words("", to_lower=False) self.assertEqual(words, []) words = string_to_diff_words("A", to_lower=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(A,A,A,None,None)]") words = string_to_diff_words("A B", to_lower=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(A,A,A ,None,B),(B,B,B,A,None)]") words = string_to_diff_words("A B C", to_lower=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(A,A,A ,None,B),(B,B,B ,A,C),(C,C,C,B,None)]") words = string_to_diff_words("A \n\n B \n\n C", to_lower=False) words_str = self.diff_words_to_string(words) self.assertEqual( words_str, "[(A,A,A \n\n ,None,B),(B,B,B \n\n ,A,C),(C,C,C,B,None)]") def test_string_to_diff_words_4(self): """ Tests the method string_to_diff_words() with specialchars_pattern="a". """ res = string_to_diff_words(None, specialchars_pattern="a") self.assertEqual(res, []) res = string_to_diff_words("", specialchars_pattern="a") self.assertEqual(res, []) res = string_to_diff_words("A", specialchars_pattern="a") res_str = self.diff_words_to_string(res) self.assertEqual(res_str, "[]") res = string_to_diff_words("A B", specialchars_pattern="a") res_str = self.diff_words_to_string(res) self.assertEqual(res_str, "[(b,B,B,None,None)]") res = string_to_diff_words("A B C", specialchars_pattern="a") res_str = self.diff_words_to_string(res) self.assertEqual(res_str, "[(b,B,B ,None,c),(c,C,C,b,None)]") res = string_to_diff_words("A \n\n B \n\n C", specialchars_pattern="a") res_str = self.diff_words_to_string(res) self.assertEqual(res_str, "[(b,B,B \n\n ,None,c),(c,C,C,b,None)]") def test_string_to_diff_words_5(self): """ Tests the method string_to_diff_words() with excludes=["\[A\]"]". """ res = string_to_diff_words(None, excludes=["\[A\]"]) self.assertEqual(res, []) res = string_to_diff_words("", excludes=["\[A\]"]) self.assertEqual(res, []) res = string_to_diff_words("[A]", excludes=["\[A\]"]) res_str = self.diff_words_to_string(res) self.assertEqual(res_str, "[([A],[A],[A],None,None)]") res = string_to_diff_words("[A] B", excludes=["\[A\]"]) res_str = self.diff_words_to_string(res) self.assertEqual( res_str, "[([A],[A],[A] ,None,b),(b,B,B,[A],None)]") res = string_to_diff_words("[A] B C", excludes=["\[A\]"]) res_str = self.diff_words_to_string(res) self.assertEqual( res_str, "[([A],[A],[A] ,None,b),(b,B,B ,[A],c),(c,C,C,b,None)]") res = string_to_diff_words("[A] \n\n B \n\n C", excludes=["\[A\]"]) res_str = self.diff_words_to_string(res) self.assertEqual( res_str, "[([A],[A],[A] \n\n ,None,b),(b,B,B \n\n ,[A],c),(c,C,C,b,None)]") def test_compose_characters(self): """ Tests the method compose_characters(). """ res = compose_characters(None) self.assertEqual(res, None) res = compose_characters("") self.assertEqual(res, "") res = compose_characters("A B C") self.assertEqual(res, "A B C") res = compose_characters(u"A\u0300 B\u0342 C\u0302") self.assertEqual(res, "À B͂ Ĉ") res = compose_characters(u"A\u0300 \n\n B\u0342 \n\n C\u0302") self.assertEqual(res, "À \n\n B͂ \n\n Ĉ") def test_split_into_paras_and_words(self): """ Tests the method split_into_paras_and_words(). """ res = split_into_paras_and_words(None) self.assertEqual(res, []) res = split_into_paras_and_words("") self.assertEqual(res, []) res = split_into_paras_and_words("A") self.assertEqual(str(res), "[[a]]") res = split_into_paras_and_words("A B") self.assertEqual(str(res), "[[a, b]]") res = split_into_paras_and_words("A B C") self.assertEqual(str(res), "[[a, b, c]]") res = split_into_paras_and_words("A \n\n B \n\n C") self.assertEqual(str(res), "[[a], [b], [c]]") def test_split(self): """ Tests the method split(). """ res = split(None, None) self.assertEqual(res, None) res = split(None, "") self.assertEqual(res, None) res = split("", "") self.assertEqual(res, ["", ""]) res = split("", None) self.assertEqual(res, ["", ""]) res = split("A B C", "X") self.assertEqual(res, ["A B C", ""]) res = split("A B C", "\s") self.assertEqual(res, ["A", " ", "B", " ", "C", ""]) res = split("A B C", "\s+") self.assertEqual(res, ["A", " ", "B", " ", "C", ""]) res = split("A B C ", "\s+") self.assertEqual(res, ["A", " ", "B", " ", "C", " ", "", ""]) def test_is_special_character(self): """ Tests the method is_special_character(). """ res = is_special_character(None, 0, None) self.assertEqual(res, False) res = is_special_character(None, 0, "X") self.assertEqual(res, False) res = is_special_character("A", 0, None) self.assertEqual(res, False) res = is_special_character("", 0, "X") self.assertEqual(res, False) res = is_special_character("A", -1, "X") self.assertEqual(res, False) res = is_special_character("", 1, "X") self.assertEqual(res, False) res = is_special_character("A", -1, "A") self.assertEqual(res, False) res = is_special_character("", 1, "A") self.assertEqual(res, False) res = is_special_character("A", 0, "A") self.assertEqual(res, True) res = is_special_character("ABA", 0, "A") self.assertEqual(res, True) res = is_special_character("ABA", 1, "A") self.assertEqual(res, False) res = is_special_character("ABA", 2, "A") self.assertEqual(res, True) def test_filter_special_chars(self): """ Tests the method filter_special_chars(). """ text = filter_special_chars(None, None) self.assertEqual(text, None) text = filter_special_chars("", None) self.assertEqual(text, "") text = filter_special_chars("ABC", None) self.assertEqual(text, "ABC") text = filter_special_chars("ABC", "X") self.assertEqual(text, "ABC") text = filter_special_chars("AXBC", "X") self.assertEqual(text, "ABC") text = filter_special_chars("XXX", "X") self.assertEqual(text, "") def test_flatten_list(self): """ Tests the method flatten_string(). """ a = word_diff.DiffWord("A") b = word_diff.DiffWord("B") c = word_diff.DiffWord("C") d = word_diff.DiffWord("D") e = word_diff.DiffWord("E") f = word_diff.DiffWord("F") flat1 = flatten_list([a, b, c]) self.assert_flatten_list1(flat1) flat2 = flatten_list([[a, b, c], [d, e, f]]) self.assert_flatten_list2(flat2) def assert_flatten_list1(self, flat1): """ Tests the first flattened list. """ self.assertEqual(len(flat1), 3) word0 = flat1[0] self.assertEqual(type(word0), word_diff.DiffWord) self.assertEqual(word0.word, "A") self.assertEqual(word0.para, 0) self.assertEqual(word0.pos_in_para, 0) self.assertEqual(word0.pos_in_text, 0) word1 = flat1[1] self.assertEqual(type(word1), word_diff.DiffWord) self.assertEqual(word1.word, "B") self.assertEqual(word1.para, 0) self.assertEqual(word1.pos_in_para, 1) self.assertEqual(word1.pos_in_text, 1) word2 = flat1[2] self.assertEqual(type(word2), word_diff.DiffWord) self.assertEqual(word2.word, "C") self.assertEqual(word2.para, 0) self.assertEqual(word2.pos_in_para, 2) self.assertEqual(word2.pos_in_text, 2) def assert_flatten_list2(self, flat2): """ Tests the second flattened list. """ self.assertEqual(len(flat2), 6) word0 = flat2[0] self.assertEqual(type(word0), word_diff.DiffWord) self.assertEqual(word0.word, "A") self.assertEqual(word0.para, 0) self.assertEqual(word0.pos_in_para, 0) self.assertEqual(word0.pos_in_text, 0) word1 = flat2[1] self.assertEqual(type(word1), word_diff.DiffWord) self.assertEqual(word1.word, "B") self.assertEqual(word1.para, 0) self.assertEqual(word1.pos_in_para, 1) self.assertEqual(word1.pos_in_text, 1) word2 = flat2[2] self.assertEqual(type(word2), word_diff.DiffWord) self.assertEqual(word2.word, "C") self.assertEqual(word2.para, 0) self.assertEqual(word2.pos_in_para, 2) self.assertEqual(word2.pos_in_text, 2) word3 = flat2[3] self.assertEqual(type(word3), word_diff.DiffWord) self.assertEqual(word3.word, "D") self.assertEqual(word3.para, 1) self.assertEqual(word3.pos_in_para, 0) self.assertEqual(word3.pos_in_text, 3) word4 = flat2[4] self.assertEqual(type(word4), word_diff.DiffWord) self.assertEqual(word4.word, "E") self.assertEqual(word4.para, 1) self.assertEqual(word4.pos_in_para, 1) self.assertEqual(word4.pos_in_text, 4) word5 = flat2[5] self.assertEqual(type(word5), word_diff.DiffWord) self.assertEqual(word5.word, "F") self.assertEqual(word5.para, 1) self.assertEqual(word5.pos_in_para, 2) self.assertEqual(word5.pos_in_text, 5) # ========================================================================== # Some util methods. def diff_words_to_string(self, diff_words): """ Creates a string representation for given diff words. """ parts = [] for word in diff_words: if type(word) is list: parts.append(self.diff_words_to_string(word)) else: parts.append(self.diff_word_to_string(word)) return "[%s]" % ",".join(parts) def diff_word_to_string(self, word): """ Creates a string representation for given diff word. """ word_parts = [] word_parts.append(word.word) word_parts.append(word.unnormalized) word_parts.append(word.unnormalized_with_whitespaces) word_parts.append(str(word.prev)) word_parts.append(str(word.next)) return "(%s)" % ",".join(word_parts) if __name__ == '__main__': unittest.main()

34.522388

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1,900

13,878

4.038947

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0.064113

0.090826

0.801798

0.71423

0.663539

0.612588

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0.256737

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0.728841

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null

0

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4

c288e0d3d808f6509faa7c1f5f4ff97bdbf9c518

224

py

Python

test/test_main.py

cbartram/pi-assistant

94a4fd7cc9f89bee355bef04e2e8a76b341df613

[ "MIT" ]

null

test/test_main.py

cbartram/pi-assistant

94a4fd7cc9f89bee355bef04e2e8a76b341df613

[ "MIT" ]

null

test/test_main.py

cbartram/pi-assistant

94a4fd7cc9f89bee355bef04e2e8a76b341df613

[ "MIT" ]

null

from pi_assistant.config import Configuration from pi_assistant.main import get_keywords def test_get_keywords_success(): config = Configuration(environment="test") assert get_keywords(config) == [('noomis', 0.5)]

28

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null

0

1

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4

c28ef4560a14afef233d43b8cc4b894f18a59122

146

py

Python

pyamg/util/__init__.py

Alexey-Voronin/pyamg-1

59d35010e4bd660aae3526e8a206a42cb1a54bfa

[ "MIT" ]

null

pyamg/util/__init__.py

Alexey-Voronin/pyamg-1

59d35010e4bd660aae3526e8a206a42cb1a54bfa

[ "MIT" ]

null

pyamg/util/__init__.py

Alexey-Voronin/pyamg-1

59d35010e4bd660aae3526e8a206a42cb1a54bfa

[ "MIT" ]

null

"Utility Functions" from .info import __doc__ from .linalg import * from .utils import * __all__ = [s for s in dir() if not s.startswith('_')]

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null

0

1

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1

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4

c2b2b0568b1aa18a50e281ca0e6477d76f4ba907

95

py

Python

dnspython/example/script.py

mcflis/docker-images

68d67e268afaa5290db690624201b48ec1796fb9

[ "MIT" ]

null

dnspython/example/script.py

mcflis/docker-images

68d67e268afaa5290db690624201b48ec1796fb9

[ "MIT" ]

null

dnspython/example/script.py

mcflis/docker-images

68d67e268afaa5290db690624201b48ec1796fb9

[ "MIT" ]

null

import dns.resolver answer = dns.resolver.resolve('github.com') print(answer.rrset.to_text())

19

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95

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1

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null

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4

c2f24cd08abe4f35be602d0bd36dd385be684829

481

py

Python

Practice/AllDomains/Languages/Python/Strings/TheMinionGame.py

DHS009/HackerRankSolutions

cc74ecc436c4d3e8ca7d62986a7cbe482f3c24ba

[ "MIT" ]

15

2017-11-10T06:20:22.000Z

2022-03-20T15:33:19.000Z

Practice/AllDomains/Languages/Python/Strings/TheMinionGame.py

DHS009/HackerRankSolutions

cc74ecc436c4d3e8ca7d62986a7cbe482f3c24ba

[ "MIT" ]

1

2018-12-12T15:12:33.000Z

Practice/AllDomains/Languages/Python/Strings/TheMinionGame.py

DHS009/HackerRankSolutions

cc74ecc436c4d3e8ca7d62986a7cbe482f3c24ba

[ "MIT" ]

9

2017-07-28T12:54:19.000Z

2021-08-13T12:00:08.000Z

#/* author:@shivkrthakur */ # Enter your code here. Read input from STDIN. Print output to STDOUT input, vowels = raw_input().strip(), 'AEIOU' inputLen = len(input) kevinSum = 0 stuartSum = 0 for x in xrange(inputLen): if input[x] in vowels: kevinSum += inputLen - x else: stuartSum += inputLen - x if stuartSum == kevinSum: print "Draw" elif stuartSum > kevinSum: print "Stuart", stuartSum elif stuartSum < kevinSum: print "Kevin", kevinSum

24.05

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1

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null

0

1

0

1

0

4

c2f361e268ff44564e495d6657e8729b4b0d6f17

1,094

py

Python

app-django-demo/mysite/myadmin/views.py

Xingkai98/AntiqueID-1

0daf9ebcdbc59182e5e11a845546f29a289a7c34

[ "MIT" ]

6

2018-09-20T03:39:15.000Z

2021-02-23T06:20:51.000Z

app-django-demo/mysite/myadmin/views.py

Xingkai98/AntiqueID-1

0daf9ebcdbc59182e5e11a845546f29a289a7c34

[ "MIT" ]

3

2018-11-03T09:55:38.000Z

2018-12-16T13:34:05.000Z

app-django-demo/mysite/myadmin/views.py

Xingkai98/AntiqueID-1

0daf9ebcdbc59182e5e11a845546f29a289a7c34

[ "MIT" ]

2

2018-09-20T03:39:16.000Z

2019-10-21T04:27:58.000Z

from django.shortcuts import render, redirect import login.models as models # Create your views here. def index(request): return render(request, 'myadmin/intro.html') #用户点击申请专家 def expertapply(request): #user_identity为1表示正在审核 expertList = models.User.objects.filter(user_identity = 1) return render(request, 'myadmin/expertapply.html', locals()) #管理员端确认是否通过申请 def checkapply(request): if request.method == 'POST': UserId = request.POST.get('id') operation = request.POST.get('operation') if operation == 'pass': user = models.User.objects.get(user_id = UserId) user.user_identity = 2 user.save() return redirect('/myadmin/expertapply/', locals()) def auctionmanagement(request): return render(request, 'myadmin/auctionmanagement.html') def mallmanagement(request): return render(request, 'myadmin/mallmanagement.html') def usermanagement(request): return render(request, 'myadmin/usermanagement.html') def expert_detail(request): return render(request, 'myadmin/expert_detail.html')

30.388889

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1,094

6.243902

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1,094

35

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null

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null

0

1

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1

0

4

6c0875db40f2ce46e66813bbb814c64b22fbf66d

317

py

Python

lenzm_utils/flask/__init__.py

mlenzen/Flask-LenzmM-Utils

be5f9f9383d72aa93cc089de356ad3dcdab4f148

[ "BSD-3-Clause" ]

null

lenzm_utils/flask/__init__.py

mlenzen/Flask-LenzmM-Utils

be5f9f9383d72aa93cc089de356ad3dcdab4f148

[ "BSD-3-Clause" ]

5

2016-10-11T18:30:03.000Z

2019-07-14T09:45:36.000Z

lenzm_utils/flask/__init__.py

mlenzen/Flask-LenzmM-Utils

be5f9f9383d72aa93cc089de356ad3dcdab4f148

[ "BSD-3-Clause" ]

null

"""lenzm_utils.flask - Utils for Flask Projects """ import urllib from . import db_admin, url_converters, url_for_obj, url_update # noqa def encodeURIComponent(v): # noqa match JS capitalization """Python implementation of Javascript's encodeURIComponent.""" return urllib.parse.quote(v, safe='~()*!.\'')

31.7

71

0.728707

40

317

5.625

0.75

0

0.141956

317

9

72

35.222222

0.827206

0.432177

0

0.041916

0

1

0.25

false

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

6c0c5e11aff705f0db51ba6565e4b842715bdc00

3,464

py

Python

stubs/m5stack_flowui-v1_4_0-beta/flowlib/uiflow.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

stubs/m5stack_flowui-v1_4_0-beta/flowlib/uiflow.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

stubs/m5stack_flowui-v1_4_0-beta/flowlib/uiflow.py

mattytrentini/micropython-stubs

4d596273823b69e9e5bcf5fa67f249c374ee0bbc

[ "MIT" ]

null

""" Module: 'flowlib.uiflow' on M5 FlowUI v1.4.0-beta """ # MCU: (sysname='esp32', nodename='esp32', release='1.11.0', version='v1.11-284-g5d8e1c867 on 2019-08-30', machine='ESP32 module with ESP32') # Stubber: 1.3.1 - updated from typing import Any class Btn: """""" def attach(self, *argv) -> Any: pass def deinit(self, *argv) -> Any: pass def detach(self, *argv) -> Any: pass def multiBtnCb(self, *argv) -> Any: pass def restart(self, *argv) -> Any: pass def timerCb(self, *argv) -> Any: pass class BtnChild: """""" def deinit(self, *argv) -> Any: pass def isPressed(self, *argv) -> Any: pass def isReleased(self, *argv) -> Any: pass def pressFor(self, *argv) -> Any: pass def restart(self, *argv) -> Any: pass def upDate(self, *argv) -> Any: pass def wasDoublePress(self, *argv) -> Any: pass def wasPressed(self, *argv) -> Any: pass def wasReleased(self, *argv) -> Any: pass class IP5306: """""" def getBatteryLevel(self, *argv) -> Any: pass def init(self, *argv) -> Any: pass def isChargeFull(self, *argv) -> Any: pass def isCharging(self, *argv) -> Any: pass def setCharge(self, *argv) -> Any: pass def setChargeVolt(self, *argv) -> Any: pass def setVinMaxCurrent(self, *argv) -> Any: pass class Rgb_multi: """""" def deinit(self, *argv) -> Any: pass def setBrightness(self, *argv) -> Any: pass def setColor(self, *argv) -> Any: pass def setColorAll(self, *argv) -> Any: pass def setColorFrom(self, *argv) -> Any: pass def setShowLock(self, *argv) -> Any: pass def show(self, *argv) -> Any: pass class Speaker: """""" def _timeout_cb(self, *argv) -> Any: pass def checkInit(self, *argv) -> Any: pass def setBeat(self, *argv) -> Any: pass def setVolume(self, *argv) -> Any: pass def sing(self, *argv) -> Any: pass def tone(self, *argv) -> Any: pass _exitState = None _is_remote = None _nextP2PTime = 0 _p2pData = None apikey = "67C7D165" binascii = None btn = None btnA = None btnB = None btnC = None def btnText(): pass def cfgRead(): pass def cfgWrite(): pass config_normal = '{\n "start": "flow",\n "mode": "internet",\n "server": "Flow.m5stack.com", \n "wifi": {\n "ssid": "",\n "password": ""\n }\n}\n' def const(): pass def core_start(): pass display = None def flowDeinit(): pass class flowExit: """""" gc = None def getP2PData(): pass def get_sd_state(): pass def hwDeinit(): pass lcd = None def loopExit(): pass def loopSetIdle(): pass def loopState(): pass m5base = None machine = None def modeSet(): pass node_id = "840d8e2598b4" os = None power = None def remoteInit(): pass def resetDefault(): pass rgb = None def sd_mount(): pass def sd_umount(): pass def sendP2PData(): pass def setP2PData(): pass speaker = None def start(): pass def startBeep(): pass timEx = None time = None timeSchedule = None time_ex = None timerSch = None def wait(): pass def wait_ms(): pass

12.642336

174

0.544169

416

3,464

4.490385

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0.161135

0.206103

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0.0894

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0

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3,464

273

175

12.688645

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1

0.389262

false

0.395973

0.006711

0

0.436242

0

null

0

1

0

null

0

1

0

1

0

4

6c1a23727d3a5249c663a3220faa98e342b090b0

2,709

py

Python

keras_losses.py

HelgeS/predml4copboundaries

e536c2677509c03e4c76e1f37b7c78361c1dec57

[ "MIT" ]

null

keras_losses.py

HelgeS/predml4copboundaries

e536c2677509c03e4c76e1f37b7c78361c1dec57

[ "MIT" ]

null

keras_losses.py

HelgeS/predml4copboundaries

e536c2677509c03e4c76e1f37b7c78361c1dec57

[ "MIT" ]

null

from keras import backend as K # Adapted from https://github.com/lukovkin/linex-keras/blob/master/linex_loss.py def linex_underestimate_fn(factor=1): return lambda y_true, y_pred: linex_loss_val(y_true, y_pred, factor) def linex_overestimate_fn(factor=1): return lambda y_true, y_pred: linex_loss_val(y_true, y_pred, -factor) def linex_underestimate(y_true, y_pred): return linex_loss_val(y_true, y_pred, 1) def linex_overestimate(y_true, y_pred): return linex_loss_val(y_true, y_pred, -1) def linex_loss_val(y_true, y_pred, a): delta = sign_ae(y_true, y_pred) # delta = K.abs(y_true - y_pred) res = linex_loss(delta, a=a) return K.mean(res) def linex_loss(delta, a=-1, b=1): """ LinEx(eps) = b * (e^(a * eps) - a * eps - 1) A. Zellner, “Bayesian Estimation and Prediction Using Asymmetric Loss Functions,” J. Am. Stat. Assoc., vol. 81, no. 394, pp. 446–451, 1986. :param delta: :param a: :param b: :return: """ if a != 0 and b > 0: return b * (K.exp(a * delta) - a * delta - 1) else: raise ValueError def sign_ae(x, y): sign_x = K.sign(x) sign_y = K.sign(y) delta = x - y return sign_x * sign_y * K.abs(delta) def shifted_mse_both(y_true, y_pred): overest = shifted_mse_overestimate(y_true[:, 0], y_pred[:, 0]) underest = shifted_mse_underestimate(y_true[:, 1], y_pred[:, 1]) return (overest + underest)/2.0 def shifted_mse_underestimate_fn(factor): return lambda y_true, y_pred: shifted_mse(y_true, y_pred, factor) def shifted_mse_overestimate_fn(factor): return lambda y_true, y_pred: shifted_mse(y_true, y_pred, -factor) def shifted_mse_underestimate(y_true, y_pred): return shifted_mse(y_true, y_pred, 1) def shifted_mse_overestimate(y_true, y_pred): return shifted_mse(y_true, y_pred, -1) def shifted_mse(y_true, y_pred, a): if a == 0: raise ValueError x = y_pred - y_true #K.abs(y_true - ) return K.pow(x, 2) * K.pow(K.sign(x) + a, 2) def pe_ann_both(y_true, y_pred): overest = pe_ann_overestimate(y_true[:, 0], y_pred[:, 0]) underest = pe_ann_underestimate(y_true[:, 1], y_pred[:, 1]) return (overest + underest)/2.0 def pe_ann_underestimate_fn(factor): return lambda y_true, y_pred: pe_ann(y_true, y_pred, 1, factor) def pe_ann_overestimate_fn(factor): return lambda y_true, y_pred: pe_ann(y_true, y_pred, 1, -factor) def pe_ann_underestimate(y_true, y_pred): return pe_ann(y_true, y_pred, 1, 2) def pe_ann_overestimate(y_true, y_pred): return pe_ann(y_true, y_pred, 1, -2) def pe_ann(y_true, y_pred, a, b): x = y_pred - y_true return (a + 1/(1 + K.exp(-b*x))) * x**2

25.317757

85

0.672573

483

2,709

3.480331

0.15735

0.113028

0.110648

0.184414

0.663296

0.61749

0.53599

0.525877

0.487805

0.458061

0

0.023448

0.197121

2,709

106

86

25.556604

0.748966

0.131045

0

0.109091

0

1

0.345455

false

0

0.018182

0.218182

0.709091

0

null

0

1

0

null

0

1

0

1

0

4

6c314f8abe2585c26247f443f112418f9268b3b2

90

py

Python

examples/nas/__init__.py

hase1128/dragonfly

4be7e4c539d3edccc4d243ab9f972b1ffb0d9a5c

[ "MIT" ]

675

2018-08-23T17:30:46.000Z

2022-03-30T18:37:23.000Z

examples/nas/__init__.py

hase1128/dragonfly

4be7e4c539d3edccc4d243ab9f972b1ffb0d9a5c

[ "MIT" ]

62

2018-11-30T23:40:19.000Z

2022-03-10T19:47:27.000Z

examples/nas/__init__.py

hase1128/dragonfly

4be7e4c539d3edccc4d243ab9f972b1ffb0d9a5c

[ "MIT" ]

349

2018-09-10T19:04:34.000Z

2022-03-31T13:10:45.000Z

""" Demos for Neural Architecture Search using Dragonfly. -- kandasamy@cs.cmu.edu """

18

55

0.7

11

90

5.727273

1

0

0.166667

90

4

56

22.5

0.84

0.855556

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

6c4119c5662c4b0826d83d930bd128e0cb97425e

292

py

Python

BootGridApp/views.py

cs-fullstack-2019-spring/django-bootstrap-grid-ic-Kenn-CodeCrew

98f322816bf2c2688fb38bc5f1625d2d48a12145

[ "Apache-2.0" ]

null

BootGridApp/views.py

cs-fullstack-2019-spring/django-bootstrap-grid-ic-Kenn-CodeCrew

98f322816bf2c2688fb38bc5f1625d2d48a12145

[ "Apache-2.0" ]

null

BootGridApp/views.py

cs-fullstack-2019-spring/django-bootstrap-grid-ic-Kenn-CodeCrew

98f322816bf2c2688fb38bc5f1625d2d48a12145

[ "Apache-2.0" ]

null

from django.shortcuts import render # Create your views here. def index(request): return render(request, "BootGridApp/signIn.html") def signIn(request): return render(request, "BootGridApp/signIn.html") def signUp(request): return render(request, "BootGridApp/signUp.html")

19.466667

53

0.743151

36

292

6.027778

0.472222

0.179724

0.262673

0.359447

0.631336

0.460829

0

0.143836

292

14

54

20.857143

0.868

0.078767

0

0.285714

0

0.258427

0

1

0.428571

false

0

0.142857

0.428571

1

0

null

0

1

0

null

0

1

0

1

0

4

6c413a56d9e20d69168a913628c5a545b1e17b3b

124

py

Python

source/python/json-sample.py

rafaritter44/DevOpsEngineerExpress

c61c43e98d7bb89269f7aed5d1c773199f79c20f

[ "Unlicense" ]

51

2018-12-26T17:41:12.000Z

2021-12-25T08:23:59.000Z

source/python/json-sample.py

rafaritter44/DevOpsEngineerExpress

c61c43e98d7bb89269f7aed5d1c773199f79c20f

[ "Unlicense" ]

null

source/python/json-sample.py

rafaritter44/DevOpsEngineerExpress

c61c43e98d7bb89269f7aed5d1c773199f79c20f

[ "Unlicense" ]

35

2019-01-01T20:36:31.000Z

2022-03-16T04:15:42.000Z

import json j = json.loads('{"gravatai" : "1763", "porto_alegre" : "1769"}') print("Was founded in: " +j['porto_alegre'])

20.666667

64

0.629032

17

124

4.470588

0.764706

0.289474

0

0.074766

0.137097

124

5

65

24.8

0.635514

0

0.596774

0

1

0

false

0

0.333333

0

0.333333

1

0

null

1

0

1

0

null

0

1

0

4

6c41984ff7aaee0893e6a8b8785df50f177e7743

237

py

Python

torchfly_dev/metrics/__init__.py

ECS-251-W2020/final-project-TorchFly

69f60b337c5dec0b1cd8315c194bc7891ba98d3a

[ "MIT" ]

null

torchfly_dev/metrics/__init__.py

ECS-251-W2020/final-project-TorchFly

69f60b337c5dec0b1cd8315c194bc7891ba98d3a

[ "MIT" ]

3

2021-06-08T21:07:12.000Z

2021-12-13T20:41:53.000Z

torchfly_dev/metrics/__init__.py

ECS-251-W2020/final-project-TorchFly

69f60b337c5dec0b1cd8315c194bc7891ba98d3a

[ "MIT" ]

1

2020-02-19T00:53:21.000Z

""" The Metric system is inherited from allennlp """ from .metric import Metric from .average import Average from .categorical_accuracy import CategoricalAccuracy from .fbeta_measure import FBetaMeasure from .f1_measure import F1Measure

26.333333

53

0.831224

30

237

6.466667

0.566667

0.134021

0

0.009615

0.122363

237

8

54

29.625

0.923077

0.185654

0

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true

0

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1

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null

0

1

0

1

0

1

0

4

6c451fd0aefe804694b6a5a3fda6a90ca22635e4

97

py

Python

install.py

dxtrity/box

bf6bfd977f27734b1f2f18c95bbbcd25d26c1569

[ "MIT" ]

null

install.py

dxtrity/box

bf6bfd977f27734b1f2f18c95bbbcd25d26c1569

[ "MIT" ]

null

install.py

dxtrity/box

bf6bfd977f27734b1f2f18c95bbbcd25d26c1569

[ "MIT" ]

null

# Install files def this(a): print("This is not yet implemented.") print("") print(a)

19.4

41

0.608247

14

97

4.214286

0.714286

0

0.237113

97

5

42

19.4

0.797297

0.134021

0

0.337349

0

1

0.25

false

0

0.25

0.75

1

0

null

0

1

0

null

0

1

0

1

0

4

6c6d0740892c1e04a85cff5e01a3ffffc60f7af1

894

py

Python

tests/test_helpers.py

guitarpoet/python-configurator

c470c2e4175c51f214fc0314a9324729dcbc3b5c

[ "Apache-2.0" ]

null

tests/test_helpers.py

guitarpoet/python-configurator

c470c2e4175c51f214fc0314a9324729dcbc3b5c

[ "Apache-2.0" ]

null

tests/test_helpers.py

guitarpoet/python-configurator

c470c2e4175c51f214fc0314a9324729dcbc3b5c

[ "Apache-2.0" ]

null

################################################################################ # # # This is the test for the helpers # # # # @author Jack <jack@thinkingcloud.info> # # @version 1.0 # # @date 2021-05-31 15:52:13 # # # ################################################################################ from configuratorpy import * def test_load_class(): clz = load_class('.plugins.env.EnvExtension') assert clz, 'Class .plugins.env.EnvExtension not loaded'

55.875

80

0.230425

43

894

4.72093

0.767442

0.08867

0.147783

0.26601

0

0.039024

0.541387

894

15

81

59.6

0.456098

0.380313

0

0.385057

0.287356

0

0.25

1

0.25

false

0

0.25

0

0.5

0

null

0

1

0

1

0

1

0

null

0

1

0

4

6c79e9d3df7d6458b67788a95d3f5f47f98d7e17

3,391

py

Python

ycnbc/base.py

asepscareer/ycnbc

44ad6a73db6252cb33c2e5ea01421108c280557e

[ "Apache-2.0" ]

1

2022-03-20T08:00:22.000Z

ycnbc/base.py

asepscareer/ycnbc

44ad6a73db6252cb33c2e5ea01421108c280557e

[ "Apache-2.0" ]

null

ycnbc/base.py

asepscareer/ycnbc

44ad6a73db6252cb33c2e5ea01421108c280557e

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- # # ycnbc - CNBC data downloader # https://github.com/asepscareer/ycnbc # # Copyright 2022 Asep Saputra # # 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. # from __future__ import print_function from .utils import getnews, latest, trending class News(): def latest(self): return latest() def trending(self): return trending() def economy(self): return getnews('economy') def jobs(self): return getnews('jobs') def white_house(self): return getnews('white-house') def hospitals(self): return getnews('hospitals') def transportation(self): return getnews('transportation') def jobs(self): return getnews('jobs') def climate(self): return getnews('climate') def media(self): return getnews('media') def internet(self): return getnews('internet') def congress(self): return getnews('congress') def policy(self): return getnews('policy') def finance(self): return getnews('finance') def life(self): return getnews('life') def defense(self): return getnews('defense') def europe_politics(self): return getnews('europe-politics') def china_politics(self): return getnews('china-politics') def asia_politics(self): return getnews('asia-politics') def world_politics(self): return getnews('world-politics') def equity_opportunity(self): return getnews('equity-opportunity') def politics(self): return getnews('politics') def wealth(self): return getnews('wealth') def world_economy(self): return getnews('world-economy') def central_banks(self): return getnews('central-banks') def real_estate(self): return getnews('real-estate') def health_science(self): return getnews('health-and-science') def small_business(self): return getnews('small-business') def lifehealth_insurance(self): return getnews('life-and-health-insurance') def business(self): return getnews('business') def energy(self): return getnews('energy') def industrials(self): return getnews('industrials') def retail(self): return getnews('retail') def cybersecurity(self): return getnews('cybersecurity') def mobile(self): return getnews('mobile') def mobile(self): return getnews('technology') def cnbc_disruptors(self): return getnews('cnbc-disruptors') def tech_guide(self): return getnews('tech-guide') def social_media(self): return getnews('social-media')

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23.713287

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null

0

1

0

null

0

1

0

1

0

4

667e1ed9e5b5523ae52808fb7556984074d60390

86

py

Python

docs/make.py

lassoan/SlicerPRISMRendering

6b9a7af56dc883a9eedc5686e974882e1421a577

[ "BSD-3-Clause" ]

1

2020-10-20T14:59:22.000Z

docs/make.py

lassoan/SlicerPRISMRendering

6b9a7af56dc883a9eedc5686e974882e1421a577

[ "BSD-3-Clause" ]

13

2020-07-23T16:31:16.000Z

2021-03-19T06:30:35.000Z

docs/make.py

lassoan/SlicerPRISMRendering

6b9a7af56dc883a9eedc5686e974882e1421a577

[ "BSD-3-Clause" ]

3

2020-07-28T18:30:28.000Z

2022-01-18T00:50:29.000Z

import subprocess subprocess.run(['sphinx-build', '-M', 'html', 'source', 'build'])

28.666667

65

0.651163

10

86

5.6

0.8

0

0.104651

86

3

65

28.666667

0.727273

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0.341176

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true

0

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null

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1

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4

6680dba5db7ea19c832d1c7201705c0e52e5b874

9,257

py

Python

apps/combine-api/tests/combine/test_get_metadata_from_combine_archive.py

reproducible-biomedical-modeling/CRBM-Viz

cc436a2bbacd2521f02eb3c087a63624c2e93101

[ "MIT" ]

2

2020-05-07T07:45:59.000Z

2020-05-13T23:48:59.000Z

apps/combine-api/tests/combine/test_get_metadata_from_combine_archive.py

reproducible-biomedical-modeling/Biosimulations

f80f18480543e9edcbc2bed8a3f8bf90c4119058

[ "MIT" ]

703

2020-01-17T20:46:38.000Z

2020-08-21T00:55:06.000Z

apps/combine-api/tests/combine/test_get_metadata_from_combine_archive.py

KarrLab/CRBM-Viz

3f2f2fa4c7fe38ccf083001230cc2fec17cd8531

[ "MIT" ]

2

2020-03-26T21:31:38.000Z

2020-07-15T15:49:32.000Z

from biosimulators_utils.omex_meta.data_model import OmexMetadataInputFormat from openapi_core.validation.response.datatypes import OpenAPIResponse from openapi_core.validation.request.datatypes import ( OpenAPIRequest, RequestParameters, ) from src import app from src.exceptions import BadRequestException from src.handlers.combine.get_metadata_for_combine_archive import _convert_rdf_node_to_json from unittest import mock from werkzeug.datastructures import MultiDict import json import os import unittest class GetMetadataTestCase(unittest.TestCase): FIXTURES_DIR = os.path.join(os.path.dirname(__file__), '..', 'fixtures') def test_get_metadata_for_combine_archive_url(self): archive_filename = os.path.join( self.FIXTURES_DIR, 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.omex') with open(archive_filename, 'rb') as file: archive_url_content = file.read() archive_url = 'https://archive.combine.org' data = MultiDict([ ('url', archive_url), ('omexMetadataFormat', OmexMetadataInputFormat.rdfxml.value), ]) response = mock.Mock( raise_for_status=lambda: None, content=archive_url_content, ) endpoint = '/combine/metadata/biosimulations' with mock.patch('requests.get', return_value=response): with app.app.app.test_client() as client: response = client.post(endpoint, data=data, content_type='multipart/form-data') self.assertEqual(response.status_code, 200, response.json) metadata = response.json sed_output_specs_filename = os.path.join( self.FIXTURES_DIR, 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.md.json') with open(sed_output_specs_filename, 'r') as file: expected_metadata = json.load(file) self.assertEqual(metadata, expected_metadata, metadata) # validate request and response if hasattr(self, "request_validator"): request = OpenAPIRequest( full_url_pattern='https://127.0.0.1/combine/metadata/biosimulations', method='post', body={ 'url': archive_url, 'omexMetadataFormat': OmexMetadataInputFormat.rdfxml.value, }, mimetype='multipart/form-data', parameters=RequestParameters(), ) result = self.request_validator.validate(request) result.raise_for_errors() response = OpenAPIResponse(data=json.dumps(expected_metadata), status_code=200, mimetype='application/json') result = self.response_validator.validate(request, response) result.raise_for_errors() def test_get_metadata_for_combine_archive_file_as_biosimulations(self): archive_filename = os.path.join( self.FIXTURES_DIR, 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.omex') fid = open(archive_filename, 'rb') data = MultiDict([ ('file', fid), ('omexMetadataFormat', OmexMetadataInputFormat.rdfxml.value), ]) endpoint = '/combine/metadata/biosimulations' with app.app.app.test_client() as client: response = client.post(endpoint, data=data, content_type="multipart/form-data") self.assertEqual(response.status_code, 200, response.json) metadata = response.json sed_output_specs_filename = os.path.join( self.FIXTURES_DIR, 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.md.json') with open(sed_output_specs_filename, 'r') as file: expected_metadata = json.load(file) self.assertEqual(metadata, expected_metadata) fid.close() # validate request and response if hasattr(self, "request_validator"): with open(archive_filename, 'rb') as file: file_content = file.read() request = OpenAPIRequest( full_url_pattern='https://127.0.0.1/combine/metadata/biosimulations', method='post', body={ 'file': file_content, 'omexMetadataFormat': OmexMetadataInputFormat.rdfxml.value, }, mimetype='multipart/form-data', parameters=RequestParameters(), ) result = self.request_validator.validate(request) result.raise_for_errors() response = OpenAPIResponse(data=json.dumps(expected_metadata), status_code=200, mimetype='application/json') result = self.response_validator.validate(request, response) result.raise_for_errors() def test_get_metadata_for_combine_archive_file_as_rdf_triples(self): archive_filename = os.path.join( self.FIXTURES_DIR, 'Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.omex') fid = open(archive_filename, 'rb') data = MultiDict([ ('file', fid), ('omexMetadataFormat', OmexMetadataInputFormat.rdfxml.value), ]) endpoint = '/combine/metadata/rdf' with app.app.app.test_client() as client: response = client.post(endpoint, data=data, content_type="multipart/form-data") self.assertEqual(response.status_code, 200, response.json) metadata = response.json self.assertEqual(metadata[0], { '_type': 'RdfTriple', 'subject': { '_type': 'RdfUriNode', 'value': 'http://omex-library.org/Ciliberto-J-Cell-Biol-2003-morphogenesis-checkpoint-continuous.omex', }, 'predicate': { '_type': 'RdfUriNode', 'value': 'http://purl.org/dc/elements/1.1/title', }, 'object': { '_type': 'RdfLiteralNode', 'value': 'Morphogenesis checkpoint in budding yeast (continuous) (Ciliberto et al., Journal Cell Biology, 2003)', } }) fid.close() # validate request and response if hasattr(self, "request_validator"): with open(archive_filename, 'rb') as file: file_content = file.read() request = OpenAPIRequest( full_url_pattern='https://127.0.0.1/combine/metadata/rdf', method='post', body={ 'file': file_content, 'omexMetadataFormat': OmexMetadataInputFormat.rdfxml.value, }, mimetype='multipart/form-data', parameters=RequestParameters(), ) result = self.request_validator.validate(request) result.raise_for_errors() response = OpenAPIResponse(data=json.dumps(metadata), status_code=200, mimetype='application/json') result = self.response_validator.validate(request, response) result.raise_for_errors() def test_get_metadata_for_combine_archive_error_handling(self): endpoint = '/combine/metadata/biosimulations' data = MultiDict([ ('omexMetadataFormat', OmexMetadataInputFormat.rdfxml.value), ]) with app.app.app.test_client() as client: response = client.post(endpoint, data=data, content_type='multipart/form-data') self.assertEqual(response.status_code, 400, response.json) self.assertIn('must be used', response.json['title']) if hasattr(self, "response_validator"): request = OpenAPIRequest( full_url_pattern='https://127.0.0.1/combine/metadata/biosimulations', method='post', body={ 'url': 'x', 'omexMetadataFormat': OmexMetadataInputFormat.rdfxml.value, }, mimetype=None, parameters=RequestParameters(), ) response = OpenAPIResponse( data=json.dumps(response.json), status_code=400, mimetype='application/json') result = self.response_validator.validate(request, response) result.raise_for_errors() archive_filename = os.path.join( self.FIXTURES_DIR, 'invalid-metadata.omex') fid = open(archive_filename, 'rb') data = MultiDict([ ('file', fid), ('omexMetadataFormat', OmexMetadataInputFormat.rdfxml.value), ]) with app.app.app.test_client() as client: response = client.post(endpoint, data=data, content_type="multipart/form-data") self.assertEqual(response.status_code, 400, response.json) self.assertIn('is not valid', response.json['title']) fid.close() def test__convert_rdf_node_to_json(self): with self.assertRaises(BadRequestException): _convert_rdf_node_to_json(None)

42.077273

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0.605812

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9,257

6.062361

0.165924

0.024247

0.0777

0.085966

0.777002

0.733101

0.707201

0.699853

0.680566

0

0.012504

0.291563

9,257

219

130

42.269406

0.817627

0.009614

0

0.643617

0

0.005319

0.172741

0.05227

0

0.058511

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0.026596

false

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0.058511

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0.095745

0

null

0

1

0

1

0

null

0

4

6698fc9b9ad877791a6b74efa89cc9dda19baee0

77

py

Python

tasks/EPAM/python_course/foundation-python/l3/temp.py

AleksNeStu/projects

1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb

[ "Apache-2.0" ]

2

2022-01-19T18:01:35.000Z

2022-02-06T06:54:38.000Z

tasks/EPAM/python_course/foundation-python/l3/temp.py

AleksNeStu/projects

1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb

[ "Apache-2.0" ]

null

tasks/EPAM/python_course/foundation-python/l3/temp.py

AleksNeStu/projects

1a4c68dfbdcb77228f0f3617e58fd18fcb1f5dbb

[ "Apache-2.0" ]

null

_dict = {('Name'): 'Zara', 'Age': 7} print("_dict['Name']: ", _dict['Name'])

25.666667

39

0.519481

10

77

3.7

0.6

0.648649

0

0.014706

0.116883

77

2

40

38.5

0.529412

0

0.38961

0

1

0

false

0

0.5

1

0

null

1

0

1

0

null

0

1

0

4

dd104d7513b21f1e5de59ec82e381297291f1bf4

744

py

Python

config.py

sirKiraUzumaki/Zoom-Bot-Application

3899a7e196464537dd20f8dc3e2089f3144ef0bd

[ "Apache-2.0" ]

1

2021-12-02T03:58:00.000Z

config.py

sirKiraUzumaki/Zoom-Bot-Application

3899a7e196464537dd20f8dc3e2089f3144ef0bd

[ "Apache-2.0" ]

null

config.py

sirKiraUzumaki/Zoom-Bot-Application

3899a7e196464537dd20f8dc3e2089f3144ef0bd

[ "Apache-2.0" ]

null

id = { "Accountancy": ["677 986 3608", "760646"], "Business": ["674 382 4240", "bst369"], "Arts": ["503 821 5968", "Art1309"], "English": ["835 860 0276", "0000"], "Moral Science": ["856 7761 0332", "81b8XM"], "Economics": ["653 479 2542", "G6sJF4"], "Subject Name": ["Meeting Id", "Meeting Password"], "Subject Name": ["Meeting Id", "Meeting Password"], "Subject Name": ["Meeting Id", "Meeting Password"], "Subject Name": ["Meeting Id", "Meeting Password"], "Subject Name": ["Meeting Id", "Meeting Password"], "Subject Name": ["Meeting Id", "Meeting Password"] } zoom_location = "C:\\Users\\God Bless Me\\AppData\\Roaming\\Zoom\\bin\\Zoom.exe" #Put your Zookm Location here

43.764706

111

0.591398

86

744

5.104651

0.593023

0.150342

0.246014

0.273349

0.47836

0

0.139731

0.201613

744

16

112

46.5

0.599327

0.037634

0

0.333333

0

0.643777

0.058655

0

1

0

false

0.4

0

null

0

1

0

1

0

null

0

1

0

4

dd2110785b5a22f19575d7bf185222d6a52a40d6

32,560

py

Python

module_troops.py

Jazora/Feudal_World

2fca7827abfb6a59a40f21ac372163bd595ef3bb

[ "BSD-3-Clause" ]

null

module_troops.py

Jazora/Feudal_World

2fca7827abfb6a59a40f21ac372163bd595ef3bb

[ "BSD-3-Clause" ]

null

module_troops.py

Jazora/Feudal_World

2fca7827abfb6a59a40f21ac372163bd595ef3bb

[ "BSD-3-Clause" ]

null

from header_common import * from header_items import * from header_troops import * from header_skills import * #################################################################################################################### # Each troop contains the following fields: # 1) Troop id (string): used for referencing troops in other files. The prefix trp_ is automatically added before each troop-id # 2) Toop name (string) # 3) Plural troop name (string) # 4) Troop flags (int). See header_troops.py for a list of available flags # 5) Scene and entry # 5.1) Scene (only applicable to heroes) # 5.2) Entry point using the entry() function: for example, entry(15) # 6) Reserved (int). Put constant "reserved" or 0 # 7) Faction (int) # 8) Inventory (list): Must be a list of items # 9) Attributes (int): Example usage: # str_6|agi_6|int_4|cha_5|level(5) # 10) Weapon proficiencies (int): Example usage: # wp_one_handed(55)|wp_two_handed(90)|wp_polearm(36)|wp_archery(80)|wp_crossbow(24)|wp_throwing(45) # 11) Skills (int): See header_skills.py to see a list of skills. Example: # knows_ironflesh_3|knows_power_strike_2|knows_athletics_2|knows_riding_2 # 12) Face code (int): You can obtain the face code by pressing ctrl+E in face generator screen # 13) Face code (int)(2) (only applicable to regular troops, can be omitted for heroes): # The game will create random faces between Face code 1 and face code 2 for generated troops # 14) Troop image (string): If this variable is set, the troop will use an image rather than its 3D visual during the conversations #################################################################################################################### def wp(x): return wp_one_handed(x)|wp_two_handed(x)|wp_polearm(x)|wp_archery(x)|wp_crossbow(x)|wp_throwing(x) def wpe(m,a,c,t): return wp_one_handed(m)|wp_two_handed(m)|wp_polearm(m)|wp_archery(a)|wp_crossbow(c)|wp_throwing(t) def wpex(o,w,p,a,c,t): return wp_one_handed(o)|wp_two_handed(w)|wp_polearm(p)|wp_archery(a)|wp_crossbow(c)|wp_throwing(t) def wp_melee(x): return wp_one_handed(x + 20)|wp_two_handed(x)|wp_polearm(x + 10) reserved = 0 no_scene = 0 default_face_1 = 0x0000000400000001124000000020000000000000001c00800000000000000000 default_face_2 = 0x0000000cbf00230c4deeffffffffffff00000000001efff90000000000000000 tf_guarantee_all = tf_guarantee_boots|tf_guarantee_armor|tf_guarantee_gloves|tf_guarantee_helmet|tf_guarantee_horse|tf_guarantee_shield|tf_guarantee_ranged tf_guarantee_all_wo_ranged = tf_guarantee_boots|tf_guarantee_armor|tf_guarantee_gloves|tf_guarantee_helmet|tf_guarantee_horse|tf_guarantee_shield # troops have 30 charisma and 10 weapon master to stop the game engine from adding random skill levels pw_attr = cha_30|level(1) knows_pw = knows_weapon_master_10 troops = [ ["player","Player","Player",tf_hero|tf_unmoveable_in_party_window,no_scene,reserved,0, [], str_15|agi_15|int_4|cha_4,wp(15),0,0x000000018000000136db6db6db6db6db00000000001db6db0000000000000000], ["multiplayer_profile_troop_male","multiplayer_profile_troop_male","multiplayer_profile_troop_male", tf_hero|tf_guarantee_all,0,0,0, [], str_14, 0, 0, 0x000000018000000136db6db6db6db6db00000000001db6db0000000000000000], ["multiplayer_profile_troop_female","multiplayer_profile_troop_female","multiplayer_profile_troop_female", tf_hero|tf_female|tf_guarantee_all,0,0,0, [], str_14, 0, 0, 0x000000018000000136db6db6db6db6db00000000001db6db0000000000000000], ["temp_troop","Temp Troop","Temp Troop",tf_hero,no_scene,reserved,0,[],0,0,0,0], #################################################################################################################### # Troops before this point are hardwired into the game and their order should not be changed! #################################################################################################################### #Basic Tier ["peasant","Peasant","a peasant",tf_guarantee_all,0,0,"fac_commoners", ["itm_old_coarse_tunic","itm_ragged_shirt","itm_woolen_hose"], str_9|agi_11|pw_attr,wpex(50,30,30,0,0,30),knows_pw|knows_power_strike_1|knows_athletics_2|knows_labouring_2|knows_tailoring_1|knows_riding_1,default_face_1,default_face_2], ["peasant_female","Peasant","a peasant",tf_guarantee_all,0,0,"fac_commoners", ["itm_dress","itm_blue_dress","itm_peasant_dress","itm_woolen_dress","itm_ripped_woolen_hose","itm_woolen_hose","itm_blue_hose"], str_9|agi_11|pw_attr,wpex(50,30,30,0,0,30),knows_pw|knows_power_strike_1|knows_athletics_2|knows_labouring_2|knows_tailoring_1|knows_riding_1,default_face_1,default_face_2], ["serf","Serf","a serf",tf_guarantee_all,0,0,"fac_commoners", ["itm_heraldic_coarse_tunic","itm_woolen_hose"], str_8|agi_10|pw_attr,wpex(50,30,30,0,0,50),knows_pw|knows_power_strike_1|knows_athletics_2|knows_labouring_5|knows_engineer_1|knows_tailoring_1|knows_herding_3|knows_riding_1,default_face_1,default_face_2], ["serf_female","Serf","a serf",tf_guarantee_all,0,0,"fac_commoners", ["itm_heraldic_blue_dress","itm_heraldic_peasant_dress","itm_ripped_woolen_hose","itm_woolen_hose","itm_blue_hose"], str_8|agi_10|pw_attr,wpex(50,30,30,0,0,50),knows_pw|knows_power_strike_1|knows_athletics_2|knows_labouring_5|knows_engineer_1|knows_tailoring_1|knows_herding_3|knows_riding_1,default_face_1,default_face_2], ["beggar","Beggar","a beggar",tf_guarantee_all,0,0,"fac_commoners", ["itm_ragged_shirt","itm_tattered_wrapping_boots"], str_11|agi_13|pw_attr,wpex(60,40,60,10,40,60),knows_pw|knows_ironflesh_1|knows_power_strike_1|knows_athletics_5|knows_riding_1|knows_looting_2|knows_labouring_2,default_face_1,default_face_2], ["ministrel","Minstrel","a minstrel",tf_guarantee_all,0,0,"fac_commoners", ["itm_old_tabard","itm_woolen_hose"], str_10|agi_12|pw_attr,wpex(50,30,30,0,0,80),knows_pw|knows_musician_3|knows_athletics_5|knows_riding_3,default_face_1,default_face_2], ["huntsman","Huntsman","a huntsman",tf_guarantee_all,0,0,"fac_commoners", ["itm_ragged_woolen_cap","itm_old_coarse_tunic","itm_crude_bow","itm_bent_arrows","itm_woolen_hose"], str_11|agi_13|pw_attr,wpex(70,35,60,120,100,50),knows_pw|knows_ironflesh_2|knows_power_strike_1|knows_power_draw_3|knows_athletics_3|knows_riding_1|knows_labouring_1|knows_herding_3,default_face_1,default_face_2], ["alchemist","Alchemist","a alchemist",tf_guarantee_all,0,0,"fac_commoners", ["itm_black_robe","itm_woolen_hose"], str_9|agi_12|pw_attr,wpex(70,30,30,20,20,20),knows_pw|knows_athletics_3|knows_riding_3|knows_alchemy_3|knows_wound_treatment_1|knows_labouring_1,default_face_1,default_face_2], ["healer","Healer","a healer",tf_guarantee_all,0,0,"fac_commoners", ["itm_old_linen_tunic","itm_woolen_hose"], str_8|agi_9|pw_attr,wpex(70,10,20,0,0,5),knows_pw|knows_athletics_1|knows_riding_1|knows_wound_treatment_2|knows_alchemy_1|knows_labouring_1|knows_tailoring_2,default_face_1,default_face_2], ["monk","Monk","a monk",tf_guarantee_all,0,0,"fac_commoners", ["itm_friar_sandals","itm_friar_robe","itm_brown_hood"], str_8|agi_9|pw_attr,wpex(25,10,80,0,0,30),knows_pw|knows_athletics_1|knows_riding_1|knows_wound_treatment_1|knows_engineer_1|knows_labouring_5|knows_tailoring_1|knows_herding_2,default_face_1,default_face_2], ["militia","Militia","a militia",tf_guarantee_all,0,0,"fac_commoners", ["itm_ragged_woolen_cap","itm_heraldic_coarse_tunic","itm_woolen_hose"], str_13|agi_12|pw_attr,wpex(90,40,80,10,40,50),knows_pw|knows_ironflesh_2|knows_power_strike_2|knows_athletics_2|knows_riding_1|knows_labouring_1|knows_herding_2|knows_wage_1,default_face_1,default_face_2], ["footman","Footman","a footman",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_15|agi_14|pw_attr,wpex(100,100,130,10,45,80),knows_pw|knows_ironflesh_5|knows_power_strike_4|knows_power_throw_2|knows_shield_1|knows_athletics_5|knows_riding_2|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], ["archer","Archer","an archer",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_tattered_headcloth","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,70,125,50,50),knows_pw|knows_ironflesh_4|knows_power_strike_3|knows_power_draw_4|knows_athletics_4|knows_riding_2|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], ["crossbowman","Crossbowman","a crossbowman",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_woolen_cap","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,60,50,125,50),knows_pw|knows_ironflesh_3|knows_power_strike_2|knows_athletics_4|knows_riding_2|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], ["lancer","Lancer","a lancer",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,120,10,30,80),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_power_throw_2|knows_athletics_1|knows_riding_6|knows_wage_1,default_face_1,default_face_2], ["man_at_arms","Man at Arms","a man at arms",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_15|agi_15|pw_attr,wpex(105,120,110,20,50,30),knows_pw|knows_ironflesh_4|knows_power_strike_4|knows_shield_1|knows_athletics_2|knows_riding_4|knows_wage_1,default_face_1,default_face_2], ["sergeant","Sergeant","a sergeant",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_15|agi_15|pw_attr,wpex(110,125,110,20,60,40),knows_pw|knows_ironflesh_5|knows_power_strike_4|knows_shield_2|knows_athletics_5|knows_riding_2|knows_wage_1,default_face_1,default_face_2], ["engineer","Engineer","an engineer",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_tattered_headcloth","itm_tabard","itm_old_hide_boots","itm_tattered_wrapping_boots",], str_10|agi_12|pw_attr,wpex(90,50,60,30,65,50),knows_pw|knows_ironflesh_2|knows_power_strike_2|knows_athletics_2|knows_engineer_2|knows_siege_1|knows_riding_2|knows_looting_1|knows_sailing_4|knows_wage_1,default_face_1,default_face_2], ["sailor","Sailor","a sailor",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_woolen_cap","itm_old_hide_boots"], str_14|agi_12|pw_attr,wpex(95,70,80,30,40,70),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_athletics_2|knows_sailing_9|knows_riding_1|knows_wage_1,default_face_1,default_face_2], ["blacksmith","Blacksmith","a Blacksmith",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_leather_apron","itm_old_hide_boots"], str_14|agi_12|pw_attr,wpex(90,55,70,30,70,50),knows_pw|knows_ironflesh_3|knows_power_strike_4|knows_athletics_1|knows_engineer_7|knows_tailoring_5|knows_riding_2|knows_looting_2|knows_sailing_4,default_face_1,default_face_2], ["armoursmith","Armourer","a armourer",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_leather_apron","itm_old_hide_boots"], str_14|agi_12|pw_attr,wpex(90,55,70,30,70,50),knows_pw|knows_ironflesh_3|knows_power_strike_4|knows_athletics_1|knows_engineer_5|knows_tailoring_7|knows_riding_2|knows_looting_2|knows_sailing_4,default_face_1,default_face_2], ["doctor","Doctor","a doctor",tf_guarantee_all,0,0,"fac_commoners", ["itm_black_robe","itm_black_hood","itm_ripped_woolen_hose"], str_10|agi_10|pw_attr,wpex(70,40,50,10,20,30),knows_pw|knows_athletics_2|knows_power_strike_2|knows_wound_treatment_5|knows_alchemy_2|knows_riding_2,default_face_1,default_face_2], ["traveler","Traveler","a traveler",tf_guarantee_all,0,0,"fac_commoners", ["itm_old_coarse_tunic","itm_old_hide_boots",], str_11|agi_13|pw_attr,wpex(70,40,90,10,40,60),knows_pw|knows_ironflesh_1|knows_power_strike_2|knows_athletics_5|knows_sailing_7|knows_riding_3|knows_labouring_1|knows_tailoring_2,default_face_1,default_face_2], ["herdsman","Herdsman","a herdsman",tf_guarantee_all,0,0,"fac_commoners", ["itm_old_coarse_tunic","itm_ragged_shirt","itm_tattered_wrapping_boots","itm_herding_crook"], str_10|agi_14|pw_attr,wpex(50,35,40,0,10,40),knows_pw|knows_power_strike_1|knows_athletics_5|knows_labouring_2|knows_riding_3|knows_herding_5,default_face_1,default_face_2], ["merchant","Merchant","a merchant",tf_guarantee_all,0,0,"fac_commoners", ["itm_rich_outfit","itm_ripped_woolen_hose",], str_12|agi_13|pw_attr,wpex(50,40,50,10,20,60),knows_pw|knows_ironflesh_1|knows_power_strike_1|knows_athletics_5|knows_sailing_7|knows_riding_6|knows_trade_2|knows_labouring_1|knows_herding_1,default_face_1,default_face_2], #Mercenary Tier ["mercenary_crossbowman","Mercenary Crossbowman","a mercenary crossbowman",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_woolen_cap","itm_old_coarse_tunic","itm_old_tabard","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(60,70,70,50,125,50),knows_pw|knows_ironflesh_3|knows_power_strike_2|knows_athletics_4|knows_riding_2|knows_sailing_3,default_face_1,default_face_2], ["mercenary_cavalry","Mercenary Cavalry","a mercenary cavalry",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_woolen_cap","itm_old_coarse_tunic","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,120,10,30,80),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_athletics_1|knows_riding_6,default_face_1,default_face_2], ["mercenary_hired_blade","Hired Blade","a hired blade",tf_guarantee_all,0,0,"fac_commoners", ["itm_ragged_woolen_cap","itm_old_coarse_tunic","itm_old_tabard","itm_tattered_wrapping_boots"], str_15|agi_14|pw_attr,wpex(90,110,110,10,35,80),knows_pw|knows_ironflesh_5|knows_power_strike_4|knows_power_throw_2|knows_shield_1|knows_athletics_5|knows_riding_2|knows_sailing_3,default_face_1,default_face_2], ["mercenary_sword_sister","Sword Sister","a sword sister",tf_guarantee_all,0,0,"fac_commoners", ["itm_ragged_woolen_cap","itm_old_coarse_tunic","itm_old_tabard","itm_tattered_wrapping_boots"], str_15|agi_14|pw_attr,wpex(90,110,110,10,35,80),knows_pw|knows_ironflesh_5|knows_power_strike_4|knows_power_throw_2|knows_shield_1|knows_athletics_5|knows_riding_2|knows_sailing_3,default_face_1,default_face_2], ["mercenary_end","playable_troops_end","playable_troops_end",0,0,0,0,[],0,0,0,0,0], ##Cultural Tier #Swadia ["knight","Knight","a knight",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_15|agi_15|pw_attr,wpex(105,120,125,20,50,30),knows_pw|knows_ironflesh_4|knows_power_strike_5|knows_shield_2|knows_athletics_2|knows_riding_5|knows_wage_1,default_face_1,default_face_2], #Rhodok ["sharpshooter","Sharpshooter","a sharpshooter",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_ragged_woolen_cap","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,60,50,140,50),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_shield_1|knows_athletics_4|knows_riding_2|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], #Nord ["huscarl","Huscarl","a huscarl",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_17|agi_14|pw_attr,wpex(125,120,125,20,60,80),knows_pw|knows_ironflesh_5|knows_power_strike_5|knows_shield_3|knows_power_throw_1|knows_athletics_5|knows_riding_2|knows_wage_1,default_face_1,default_face_2], ["shieldmaiden","Shield Maiden","a shield maiden",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_17|agi_14|pw_attr,wpex(125,120,125,20,60,80),knows_pw|knows_ironflesh_5|knows_power_strike_5|knows_shield_3|knows_power_throw_1|knows_athletics_5|knows_riding_2|knows_wage_1,default_face_1,default_face_2], #Sarranid ["mamaluke","Mamaluke","a mamaluke",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_15|agi_16|pw_attr,wpex(120,105,110,20,50,30),knows_pw|knows_ironflesh_3|knows_power_strike_4|knows_shield_1|knows_athletics_3|knows_riding_7|knows_wage_1,default_face_1,default_face_2], ["slave","Slave","a slave",tf_guarantee_all,0,0,"fac_commoners", ["itm_tattered_wrapping_boots"], str_14|agi_15|pw_attr,wpex(90,100,130,10,45,80),knows_pw|knows_ironflesh_5|knows_power_strike_4|knows_power_throw_2|knows_shield_1|knows_athletics_5|knows_riding_2|knows_sailing_3|knows_labouring_2,default_face_1,default_face_2], #Vaegir ["marksman","Marksman","an marksman",tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_tattered_headcloth","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,70,145,50,50),knows_pw|knows_ironflesh_4|knows_power_strike_3|knows_power_draw_5|knows_athletics_4|knows_riding_2|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], #Khergit ["horse_archer","Horse Archer","a horse archer",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_stained_felt_hat_b","itm_tattered_headcloth","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_14|pw_attr,wpex(90,60,60,130,30,50),knows_pw|knows_ironflesh_2|knows_power_strike_2|knows_power_draw_3|knows_horse_archery_2|knows_athletics_1|knows_riding_6|knows_wage_1,default_face_1,default_face_2], #Multiple Cultures ["guard","Guard","a guard",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_tabard","itm_old_hide_boots"], str_15|agi_18|pw_attr,wpex(125,110,110,20,60,40),knows_pw|knows_ironflesh_4|knows_power_strike_4|knows_shield_2|knows_athletics_5|knows_riding_2|knows_wage_1,default_face_1,default_face_2], #Townwatch ["watchman","Watchman","a watchman",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_15|agi_14|pw_attr,wpex(115,130,100,10,45,80),knows_pw|knows_ironflesh_4|knows_power_strike_4|knows_shield_1|knows_athletics_4|knows_riding_3|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], ["ranger","Ranger","an ranger",tf_guarantee_all,0,0,"fac_commoners", ["itm_arming_cap","itm_heraldic_shirt","itm_tattered_wrapping_boots"], str_14|agi_15|pw_attr,wpex(95,60,60,125,50,50),knows_pw|knows_ironflesh_4|knows_power_strike_3|knows_power_draw_4|knows_athletics_5|knows_riding_2|knows_sailing_3|knows_wage_1,default_face_1,default_face_2], #Outlaw Tier ["ruffian","Ruffian","a ruffian",tf_guarantee_all,0,0,"fac_commoners", ["itm_nomad_vest","itm_nomad_armor","itm_rawhide_coat","itm_old_hide_boots","itm_club","itm_spiked_club"], str_14|agi_12|pw_attr,wpex(90,75,80,10,20,80),knows_pw|knows_ironflesh_4|knows_power_strike_4|knows_athletics_3|knows_riding_1|knows_looting_2|knows_labouring_2,default_face_1,default_face_2], ["brigand","Brigand","a brigand",tf_guarantee_all,0,0,"fac_commoners", ["itm_nomad_vest","itm_nomad_armor","itm_rawhide_coat","itm_old_hide_boots","itm_club"], str_12|agi_14|pw_attr,wpex(85,40,70,100,60,70),knows_pw|knows_ironflesh_3|knows_power_strike_2|knows_power_draw_3|knows_athletics_4|knows_riding_1|knows_looting_6,default_face_1,default_face_2], ["hashashin","Hashashin","a hashashin",tf_guarantee_all,0,0,"fac_commoners", ["itm_archers_vest","itm_turban","itm_old_hide_boots","itm_blunt_falchion"], str_13|agi_15|pw_attr,wpex(125,70,110,100,100,80),knows_pw|knows_power_strike_4|knows_power_draw_2|knows_power_throw_1|knows_athletics_6|knows_riding_2|knows_looting_6,default_face_1,default_face_2], ["sea_raider","Sea Raider","a sea raider",tf_guarantee_all,0,0,"fac_commoners", ["itm_nomad_vest","itm_nomad_armor","itm_rawhide_coat","itm_old_hide_boots","itm_club","itm_old_shield"], str_15|agi_12|pw_attr,wpex(100,75,95,10,20,80),knows_pw|knows_ironflesh_4|knows_power_strike_4|knows_athletics_3|knows_shield_1|knows_riding_1|knows_sailing_4|knows_engineer_1,default_face_1,default_face_2], ["thief","Thief","a thief",tf_guarantee_all,0,0,"fac_commoners", ["itm_tunic_with_green_cape","itm_tattered_wrapping_boots","itm_common_hood","itm_old_knife","itm_club"], str_12|agi_15|pw_attr,wpex(100,40,60,10,80,60),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_power_throw_2|knows_athletics_5|knows_riding_2|knows_looting_8,default_face_1,default_face_2], ["raider","Raider","a raider",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_nomad_vest","itm_tattered_wrapping_boots","itm_club","itm_bent_lance"], str_13|agi_14|pw_attr,wpex(90,60,110,10,30,80),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_athletics_2|knows_riding_4|knows_looting_2,default_face_1,default_face_2], ["cultist","Cultist","a cultist",tf_guarantee_all,0,0,"fac_commoners", ["itm_red_robe","itm_red_hood","itm_club"], str_12|agi_13|pw_attr,wpex(90,10,100,0,0,30),knows_pw|knows_athletics_1|knows_riding_1|knows_wound_treatment_1|knows_alchemy_2|knows_engineer_2|knows_labouring_5|knows_tailoring_1|knows_herding_2,default_face_1,default_face_2], ["saved_troops_end","saved_troops_end","saved_troops_end",0,0,0,0,[],0,0,0,0,0], #Second Tier ["marshal","Marshal","the marshal",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_tabard","itm_old_hide_boots"], str_16|agi_15|pw_attr,wpex(110,125,120,80,100,50),knows_pw|knows_ironflesh_6|knows_power_strike_5|knows_power_draw_2|knows_shield_2|knows_siege_1|knows_athletics_3|knows_riding_4|knows_wage_1,default_face_1,default_face_2], ["steward","Steward","the steward",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_rich_outfit","itm_courtly_outfit","itm_nobleman_outfit","itm_ripped_woolen_hose","itm_woolen_hose"], str_14|agi_15|pw_attr,wpex(100,80,80,50,80,50),knows_pw|knows_ironflesh_4|knows_power_strike_3|knows_athletics_5|knows_riding_4|knows_sailing_5|knows_trade_1|knows_labouring_3|knows_engineer_2|knows_tailoring_2|knows_wage_1,default_face_1,default_face_2], #Third Tier ["lord","Lord","the lord",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_old_tabard","itm_rich_outfit","itm_courtly_outfit","itm_nobleman_outfit","itm_ripped_woolen_hose","itm_old_hide_boots","itm_worn_sword"], str_16|agi_15|pw_attr,wpex(115,115,115,50,70,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_4|knows_shield_2|knows_athletics_2|knows_riding_5,default_face_1,default_face_2], ["lady","Lady","the lady",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_lady_dress_ruby","itm_lady_dress_green","itm_lady_dress_blue","itm_court_dress","itm_red_dress","itm_ripped_woolen_hose","itm_woolen_hose","itm_blue_hose","itm_wimple_a","itm_wimple_b","itm_barbette","itm_worn_sword"], str_16|agi_15|pw_attr,wpex(115,115,115,50,70,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_4|knows_shield_2|knows_athletics_2|knows_riding_5,default_face_1,default_face_2], ["doge","Doge","the doge",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_rich_outfit","itm_courtly_outfit","itm_nobleman_outfit","itm_ripped_woolen_hose","itm_woolen_hose","itm_worn_sword"], str_14|agi_16|pw_attr,wpex(110,80,80,50,100,50),knows_pw|knows_leadership_1|knows_ironflesh_4|knows_power_strike_3|knows_shield_1|knows_athletics_5|knows_riding_7|knows_sailing_7|knows_trade_3|knows_labouring_3|knows_engineer_1|knows_tailoring_2|knows_alchemy_1,default_face_1,default_face_2], ["captain","Captain","the captain",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_tabard","itm_old_hide_boots","itm_worn_sword","itm_crude_bolts","itm_flimsy_crossbow"], str_16|agi_15|pw_attr,wpex(110,125,120,80,100,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_5|knows_power_draw_2|knows_shield_2|knows_athletics_3|knows_riding_4|knows_sailing_3,default_face_1,default_face_2], ["grandmaster","Grandmaster","the grandmaster",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_tabard","itm_old_hide_boots","itm_worn_sword"], str_16|agi_15|pw_attr,wpex(125,125,110,30,60,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_6|knows_shield_3|knows_athletics_3|knows_riding_4|knows_sailing_3,default_face_1,default_face_2], ["bishop","Bishop","the bishop",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_priest_robe","itm_priest_leggings","itm_priest_coif"], str_16|agi_14|pw_attr,wpex(60,70,115,50,20,50),knows_pw|knows_leadership_1|knows_ironflesh_8|knows_power_strike_2|knows_athletics_2|knows_wound_treatment_5|knows_riding_5,default_face_1,default_face_2], ["warchief","Warchief","the warchief",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_nomad_vest","itm_nomad_armor","itm_fur_hat","itm_old_hide_boots","itm_falchion","itm_crude_bolts","itm_flimsy_crossbow"], str_15|agi_16|pw_attr,wpex(110,110,90,90,70,40),knows_pw|knows_leadership_1|knows_ironflesh_5|knows_power_strike_4|knows_power_draw_2|knows_athletics_4|knows_looting_6|knows_riding_1|knows_sailing_4|knows_labouring_2,default_face_1,default_face_2], #Final Tier ["king","King","the king",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_old_tabard","itm_rich_outfit","itm_courtly_outfit","itm_nobleman_outfit","itm_ripped_woolen_hose","itm_old_hide_boots","itm_worn_sword"], str_16|agi_15|pw_attr,wpex(115,115,115,50,70,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_4|knows_shield_2|knows_athletics_2|knows_riding_5,default_face_1,default_face_2], ["queen","Queen","the queen",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_lady_dress_ruby","itm_lady_dress_green","itm_lady_dress_blue","itm_court_dress","itm_red_dress","itm_brown_dress","itm_green_dress","itm_sarranid_lady_dress","itm_sarranid_lady_dress_b","itm_ripped_woolen_hose","itm_woolen_hose","itm_blue_hose","itm_wimple_a","itm_wimple_b","itm_barbette","itm_worn_sword"], str_16|agi_15|pw_attr,wpex(115,115,115,50,70,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_4|knows_shield_2|knows_athletics_2|knows_riding_5,default_face_1,default_face_2], ["archbishop","Archbishop","the archbishop",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_priest_robe","itm_priest_leggings","itm_bishop_mitre"], str_16|agi_14|pw_attr,wpex(60,70,115,50,20,50),knows_pw|knows_leadership_1|knows_ironflesh_8|knows_power_strike_2|knows_athletics_2|knows_wound_treatment_5|knows_riding_5,default_face_1,default_face_2], ["patrician","Patrician","the patrician",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_rich_outfit","itm_courtly_outfit","itm_nobleman_outfit","itm_ripped_woolen_hose","itm_woolen_hose","itm_worn_sword"], str_14|agi_16|pw_attr,wpex(110,80,80,50,100,50),knows_pw|knows_leadership_1|knows_ironflesh_4|knows_power_strike_3|knows_shield_1|knows_athletics_5|knows_riding_7|knows_sailing_7|knows_trade_3|knows_labouring_3|knows_engineer_1|knows_tailoring_2,default_face_1,default_face_2], ["commander","Commander","the commander",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_tabard","itm_old_hide_boots","itm_worn_sword","itm_crude_bolts","itm_flimsy_crossbow"], str_16|agi_15|pw_attr,wpex(110,125,120,80,100,50),knows_pw|knows_leadership_1|knows_ironflesh_6|knows_power_strike_5|knows_power_draw_2|knows_shield_2|knows_athletics_3|knows_riding_4|knows_sailing_3,default_face_1,default_face_2], ["warlord","Warlord","the warlord",tf_mounted|tf_guarantee_all,0,0,"fac_commoners", ["itm_nomad_vest","itm_nomad_armor","itm_fur_hat","itm_old_hide_boots","itm_one_handed_battle_axe_a","itm_crude_bolts","itm_flimsy_crossbow"], str_15|agi_16|pw_attr,wpex(110,110,90,90,70,40),knows_pw|knows_leadership_1|knows_ironflesh_4|knows_power_strike_4|knows_power_draw_2|knows_athletics_4|knows_looting_6|knows_riding_1|knows_sailing_4|knows_labouring_2|knows_herding_1,default_face_1,default_face_2], #Rebel Tier ["rebel","Rebel","a rebel",tf_guarantee_all,0,0,"fac_commoners", ["itm_ragged_woolen_cap","itm_stained_felt_hat_b","itm_tattered_headcloth","itm_heraldic_coarse_tunic","itm_old_tabard","itm_tattered_wrapping_boots","itm_old_hide_boots","itm_chipped_falchion","itm_rusty_sword","itm_crude_spear","itm_old_shield","itm_flimsy_crossbow","itm_crude_bolts"], str_14|agi_14|pw_attr,wpex(90,70,80,30,75,70),knows_pw|knows_ironflesh_3|knows_power_strike_3|knows_athletics_3|knows_riding_2|knows_engineer_1|knows_sailing_3|knows_tailoring_1,default_face_1,default_face_2], #Admin Tier ["godlike_hero","Admin","a admin",tf_guarantee_all,0,0,"fac_commoners", ["itm_red_shirt","itm_linen_tunic","itm_woolen_hose","itm_invisible_sword","itm_invisible_bow","itm_invisible_arrows"], str_30|agi_30|pw_attr,wpex(300,300,300,300,300,300),knows_pw|knows_ironflesh_10|knows_power_strike_10|knows_power_draw_10|knows_power_throw_10|knows_shield_10|knows_athletics_10|knows_riding_10|knows_engineer_10|knows_siege_10|knows_wound_treatment_10|knows_looting_10|knows_labouring_10|knows_sailing_10|knows_tailoring_10|knows_herding_10|knows_trade_10|knows_musician_10|knows_alchemy_10,default_face_1,default_face_2], ["event_hero","Hero","a hero",tf_guarantee_all,0,0,"fac_commoners", ["itm_red_shirt","itm_linen_tunic","itm_woolen_hose","itm_invisible_sword","itm_invisible_bow","itm_invisible_arrows"], str_30|agi_30|pw_attr,wpex(300,300,300,300,300,300),knows_pw|knows_ironflesh_10|knows_power_strike_10|knows_power_draw_10|knows_power_throw_10|knows_shield_10|knows_athletics_10|knows_riding_10|knows_engineer_10|knows_siege_10|knows_wound_treatment_10|knows_looting_10|knows_labouring_10|knows_sailing_10|knows_tailoring_10|knows_herding_10|knows_trade_10|knows_musician_10|knows_alchemy_10,default_face_1,default_face_2], ["guide","Guide","a guide",tf_guarantee_all,0,0,"fac_commoners", ["itm_fur_hat","itm_sarranid_cloth_robe_b","itm_tattered_wrapping_boots","itm_worn_sword"], str_15|agi_15|pw_attr,wpex(125,110,90,10,40,60),knows_pw|knows_ironflesh_5|knows_power_strike_2|knows_athletics_7|knows_musician_3|knows_sailing_7|knows_riding_7|knows_labouring_2|knows_herding_2|knows_tailoring_2|knows_engineer_2|knows_wound_treatment_4|knows_alchemy_1,default_face_1,default_face_2], #Decap Troop ["decaptroop"," "," ",tf_guarantee_all,0,0,"fac_commoners", ["itm_invisible_head","itm_invisible_body","itm_invisible_foot","itm_invisible_hand"], str_5|agi_5|pw_attr,wpex(0,0,0,0,0,0),knows_pw,default_face_1,default_face_2], ["playable_troops_end","playable_troops_end","playable_troops_end",0,0,0,0,[],0,0,0,0,0], ##NPCS Start ["test_race","Footman","a footman",tf_guarantee_all|tf_giant_male,0,0,"fac_commoners", [], str_15|agi_14|pw_attr,wpex(100,100,130,10,45,80),knows_pw|knows_ironflesh_5|knows_power_strike_4|knows_power_throw_2|knows_shield_1|knows_athletics_5|knows_riding_2|knows_sailing_3,default_face_1,default_face_2], ##NPCS END ["inactive_players_array","inactive_players_array","inactive_players_array",0,0,0,0,[],0,0,0,0,0], ["mission_data","mission_data","mission_data",0,0,0,0,[],0,0,0,0,0], ["banner_background_color_array","banner_background_color_array","banner_background_color_array",0,0,0,0,[],0,0,0,0,0], ["temp_array","temp_array","temp_array",0,0,0,0,[],0,0,0,0,0], ["last_chat_message","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_0","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_1","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_2","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_3","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_4","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_5","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_6","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_7","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_8","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_9","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_10","-","-",0,0,0,0,[],0,0,0,0,0], ["chat_overlay_ring_buffer_end","-","-",0,0,0,0,[],0,0,0,0,0], ["ship_array","ship_array","ship_array",0,0,0,0,[],0,0,0,0,0], ["cart_array","cart_array","cart_array",0,0,0,0,[],0,0,0,0,0], ["removed_scene_props","removed_scene_props","removed_scene_props",0,0,0,0,[],0,0,0,0,0], ["animation_menu_strings","animation_menu_strings","animation_menu_strings",0,0,0,0,[],0,0,0,0,0], ["animation_durations","animation_durations","animation_durations",0,0,0,0,[],0,0,0,0,0], ]

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dd23d629ad15d46d2a9ad3f3c7a73b4cdd012f23

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py

Python

salt/transport/road/raet/__init__.py

pille/salt

47322575309faac8c4755287d930469caffc1c65

[ "Apache-2.0" ]

null

salt/transport/road/raet/__init__.py

pille/salt

47322575309faac8c4755287d930469caffc1c65

[ "Apache-2.0" ]

null

salt/transport/road/raet/__init__.py

pille/salt

47322575309faac8c4755287d930469caffc1c65

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- ''' raet modules __init__.py file for raet package ''' # Import raet modules from . import packeting from . import stacking from . import raeting __all__ = ['packeting', 'stacking', 'raeting']

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06b779349b4bc07df980583afe5e096981fa0962

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py

Python

setup.py

narumiruna/labelme-utils

fd0c4e6344c01ed3bc5d040b580a4840334d2459

[ "MIT" ]

null

setup.py

narumiruna/labelme-utils

fd0c4e6344c01ed3bc5d040b580a4840334d2459

[ "MIT" ]

null

setup.py

narumiruna/labelme-utils

fd0c4e6344c01ed3bc5d040b580a4840334d2459

[ "MIT" ]

null

from setuptools import find_packages, setup setup( name='labelmeutils', version='0.1.0', packages=find_packages(), install_requires=[])

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py

Python

tests/www/views/synapse_space/daa/test_form.py

ki-tools/sls_ki_synapse_admin_py

d9483d01000b61c4e8d129bdc06497ae1a27484b

[ "Apache-2.0" ]

null

tests/www/views/synapse_space/daa/test_form.py

ki-tools/sls_ki_synapse_admin_py

d9483d01000b61c4e8d129bdc06497ae1a27484b

[ "Apache-2.0" ]

null

tests/www/views/synapse_space/daa/test_form.py

ki-tools/sls_ki_synapse_admin_py

d9483d01000b61c4e8d129bdc06497ae1a27484b

[ "Apache-2.0" ]

null

import pytest from www.server import app from www.views.synapse_space.daa.forms import GrantDaaSynapseAccessForm def test_it_sets_the_team_name(client, daa_config, set_daa_config): with app.test_request_context(): form = GrantDaaSynapseAccessForm() data_collection_name = daa_config['data_collections'][0]['name'] form.field_data_collection.data = data_collection_name expected_collection_name = data_collection_name.replace(' ', '_') for short_name, expected_name in [ ('test', 'KiAccess_{0}_test'.format(expected_collection_name)), (' test ', 'KiAccess_{0}_test'.format(expected_collection_name)), ('test.1', 'KiAccess_{0}_test1'.format(expected_collection_name)), ('test-1', 'KiAccess_{0}_test_1'.format(expected_collection_name)), ('test 1', 'KiAccess_{0}_test_1'.format(expected_collection_name)), ('test 1_ . - ', 'KiAccess_{0}_test_1____'.format(expected_collection_name)) ]: form.field_institution_short_name.data = short_name form.try_set_team_name() assert form.team_name == expected_name # Test additional_parties add_party_codes = [a['code'] for a in daa_config['additional_parties']] add_party_codes_str = '_'.join(add_party_codes) for short_name, expected_name in [ ('test', 'KiAccess_{0}_{1}_test'.format(expected_collection_name, add_party_codes_str)), (' test ', 'KiAccess_{0}_{1}_test'.format(expected_collection_name, add_party_codes_str)), ('test.1', 'KiAccess_{0}_{1}_test1'.format(expected_collection_name, add_party_codes_str)), ('test-1', 'KiAccess_{0}_{1}_test_1'.format(expected_collection_name, add_party_codes_str)), ('test 1', 'KiAccess_{0}_{1}_test_1'.format(expected_collection_name, add_party_codes_str)), ('test 1_ . - ', 'KiAccess_{0}_{1}_test_1____'.format(expected_collection_name, add_party_codes_str)) ]: form.field_institution_short_name.data = short_name form.field_institution_add_party.data = add_party_codes form.try_set_team_name() assert form.team_name == expected_name form.field_institution_add_party.data = None # Test include_collection_name_in_team_name daa_config['data_collections'][0]['include_collection_name_in_team_name'] = False set_daa_config([daa_config]) for short_name, expected_name in [ ('test', 'KiAccess_test'), (' test ', 'KiAccess_test'), ('test.1', 'KiAccess_test1'), ('test-1', 'KiAccess_test_1'), ('test 1', 'KiAccess_test_1'), ('test 1_ . - ', 'KiAccess_test_1____') ]: form.field_institution_short_name.data = short_name form.try_set_team_name() assert form.team_name == expected_name # Test additional_parties with include_collection_name_in_team_name for short_name, expected_name in [ ('test', 'KiAccess_{0}_test'.format(add_party_codes_str)), (' test ', 'KiAccess_{0}_test'.format(add_party_codes_str)), ('test.1', 'KiAccess_{0}_test1'.format(add_party_codes_str)), ('test-1', 'KiAccess_{0}_test_1'.format(add_party_codes_str)), ('test 1', 'KiAccess_{0}_test_1'.format(add_party_codes_str)), ('test 1_ . - ', 'KiAccess_{0}_test_1____'.format(add_party_codes_str)) ]: form.field_institution_short_name.data = short_name form.field_institution_add_party.data = add_party_codes form.try_set_team_name() assert form.team_name == expected_name

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null

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06f971e2f1ac1ec1a0de6d5bf17ce27eac0fe9c2

27

py

Python

pulse2percept/version.py

tanyabhatia/pulse2percept

b322c7daf22154d60f7abd8adb039c5982824a7c

[ "BSD-3-Clause" ]

null

pulse2percept/version.py

tanyabhatia/pulse2percept

b322c7daf22154d60f7abd8adb039c5982824a7c

[ "BSD-3-Clause" ]

10

2018-04-18T20:56:12.000Z

2020-07-24T20:11:01.000Z

pulse2percept/version.py

tanyabhatia/pulse2percept

b322c7daf22154d60f7abd8adb039c5982824a7c

[ "BSD-3-Clause" ]

null

__version__ = '0.7.0.dev0'

13.5

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2.8

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0.111111

27

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null

0

4

06fb40368734e82fa95c1c1e21967e2e68059095

227

py

Python

kafka_roller/kafka_roller/cli.py

jyates/kafka-helmsman

acd3cadd17752055b0a5d241b1f6fd79b0b350b3

[ "MIT" ]

68

2019-09-25T21:29:27.000Z

2022-03-24T14:10:52.000Z

kafka_roller/kafka_roller/cli.py

jyates/kafka-helmsman

acd3cadd17752055b0a5d241b1f6fd79b0b350b3

[ "MIT" ]

18

2019-11-12T00:23:30.000Z

2021-12-17T18:15:24.000Z

kafka_roller/kafka_roller/cli.py

jyates/kafka-helmsman

acd3cadd17752055b0a5d241b1f6fd79b0b350b3

[ "MIT" ]

27

2019-10-01T14:23:32.000Z

2022-02-07T06:06:34.000Z

"""CLI entrypoint.""" import logging.config import os from fabric.main import program def main(): """Entry point.""" os.chdir(os.path.dirname(__file__)) logging.config.fileConfig("logging.ini") program.run()

17.461538

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29

227

5.206897

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0.172185

0

0.15859

227

12

45

18.916667

0.790576

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true

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null

0

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1

0

1

0

4

664e87f7e81eb4daa5206d28dc935ffcf085dcb1

1,438

py

Python

ooobuild/cssdyn/bridge/oleautomation/__init__.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/cssdyn/bridge/oleautomation/__init__.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/cssdyn/bridge/oleautomation/__init__.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

# coding: utf-8 # # Copyright 2022 :Barry-Thomas-Paul: Moss # # 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. # from ....dyn.bridge.oleautomation.application_registration import ApplicationRegistration as ApplicationRegistration from ....dyn.bridge.oleautomation.bridge_supplier import BridgeSupplier as BridgeSupplier from ....dyn.bridge.oleautomation.currency import Currency as Currency from ....dyn.bridge.oleautomation.date import Date as Date from ....dyn.bridge.oleautomation.decimal import Decimal as Decimal from ....dyn.bridge.oleautomation.factory import Factory as Factory from ....dyn.bridge.oleautomation.named_argument import NamedArgument as NamedArgument from ....dyn.bridge.oleautomation.property_put_argument import PropertyPutArgument as PropertyPutArgument from ....dyn.bridge.oleautomation.s_code import SCode as SCode from ....dyn.bridge.oleautomation.x_automation_object import XAutomationObject as XAutomationObject

53.259259

116

0.80459

193

1,438

5.953368

0.492228

0.060923

0.113142

0.226284

0

0.007075

0.115438

1,438

26

117

55.307692

0.896226

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null

0

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0

1

0

1

0

4

b0983754bc52f44190b32571bbe66977dc293c01

1,502

py

Python

code/FacebookEvents/extractor.py

UNITN-KDI-2020/MoiraisObservatory

d0b5aeca88e0f0229b713e60262de76ac44864a3

[ "MIT", "Unlicense" ]

null

code/FacebookEvents/extractor.py

UNITN-KDI-2020/MoiraisObservatory

d0b5aeca88e0f0229b713e60262de76ac44864a3

[ "MIT", "Unlicense" ]

1

2020-11-06T13:20:04.000Z

code/FacebookEvents/extractor.py

UNITN-KDI-2020/MoiraisObservatory

d0b5aeca88e0f0229b713e60262de76ac44864a3

[ "MIT", "Unlicense" ]

1

2020-11-04T12:19:38.000Z

import facebook_events_scraper as sc import json import time driver = sc.driver('./chromedriver') event_urls = [ "https://www.facebook.com/events/442646183573774", "https://www.facebook.com/events/119061183165620/", "https://www.facebook.com/events/367546061252509/", "https://www.facebook.com/events/802522200323292/", "https://www.facebook.com/events/781389142591365/", "https://www.facebook.com/events/279219430101617/", "https://www.facebook.com/events/183993549943591/", "https://www.facebook.com/events/3021076944663769/", "https://www.facebook.com/events/581245542747775/", "https://www.facebook.com/events/756326468432319/", "https://www.facebook.com/events/147690982536063/", "https://www.facebook.com/events/355864681668421/", "https://www.facebook.com/events/1821151754701683/", "https://www.facebook.com/events/1262094610521833/", "https://www.facebook.com/events/232678604034073/", "https://www.facebook.com/events/375869966960695/", "https://www.facebook.com/events/1243399506045392/", "https://www.facebook.com/events/667724533948337/", "https://www.facebook.com/events/165082432004468/", "https://www.facebook.com/events/401666710962331/", "https://www.facebook.com/events/726574938275467/" ] events = [] for event_uri in event_urls: response_data = sc.event_info(driver, link = event_uri) events.append(response_data) with open('data.json', 'w') as outfile: json.dump(events, outfile)

40.594595

59

0.718375

173

1,502

6.184971

0.283237

0.157009

0.314019

0.372897

0.490654

0

0.237175

0.104527

1,502

37

60

40.594595

0.558364

0

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0

1

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false

0

0.090909

0

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0

null

0

1

0

1

0

1

0

null

0

4

b0bfb4c7dc40c46491c582764a178cd888ffeabd

521

py

Python

google_api_clients/bigquery/errors.py

shojikai/python-google-api-clients

2770dc0ff77045565ae38e01d6756a513e148f81

[ "Apache-2.0" ]

null

google_api_clients/bigquery/errors.py

shojikai/python-google-api-clients

2770dc0ff77045565ae38e01d6756a513e148f81

[ "Apache-2.0" ]

null

google_api_clients/bigquery/errors.py

shojikai/python-google-api-clients

2770dc0ff77045565ae38e01d6756a513e148f81

[ "Apache-2.0" ]

null

class AlreadyExistsError(Exception): pass class BigQueryError(Exception): pass class DatasetIsNotEmptyError(Exception): pass class Http4xxError(Exception): pass class Http5xxError(Exception): pass class InsertError(Exception): pass class InvalidRowError(Exception): pass class JobWaitTimeoutError(Exception): pass class LoadError(Exception): pass class NoSuchFieldError(Exception): pass class NotFoundError(Exception): pass class ParameterError(Exception): pass

14.472222

40

0.74856

48

521

8.125

0.3125

0.4

0.507692

0

0.004695

0.182342

521

35

41

14.885714

0.910798

0

0.5

0

1

0

true

0.5

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0.5

0

null

1

0

null

0

1

0

4

b0c3788b588d5ae61dd3c4aa295bf21b012ec0ce

33,861

py

Python

ozpcenter/api/notification/notifications.py

emosher/ozp-backend

d31d00bb8a28a8d0c999813f616b398f41516244

[ "Apache-2.0" ]

1

2018-10-05T17:03:01.000Z

ozpcenter/api/notification/notifications.py

emosher/ozp-backend

d31d00bb8a28a8d0c999813f616b398f41516244

[ "Apache-2.0" ]

1

2017-01-06T19:20:32.000Z

ozpcenter/api/notification/notifications.py

emosher/ozp-backend

d31d00bb8a28a8d0c999813f616b398f41516244

[ "Apache-2.0" ]

7

2016-12-16T15:42:05.000Z

2020-09-05T01:11:27.000Z

""" https://github.com/aml-development/ozp-documentation/wiki/Notifications Notification Type SYSTEM = 'system' # System-wide Notifications AGENCY = 'agency' # Agency-wide Notifications AGENCY_BOOKMARK = 'agency_bookmark' # Agency-wide Bookmark Notifications # Not requirement (erivera 20160621) LISTING = 'listing' # Listing Notifications PEER = 'peer' # Peer to Peer Notifications PEER_BOOKMARK = 'peer_bookmark' # Peer to Peer Bookmark Notifications SUBSCRIPTION = 'subscription' # Category and Tag Subscription Notification Group Target ALL = 'all' # All users STEWARDS = 'stewards' APP_STEWARD = 'app_steward' ORG_STEWARD = 'org_steward' USER = 'user' =====Notification Type===== +--> SystemWide | +--> AgencyWide | +--> AgencyWideBookmark | Notification +------+--> Listing | | | +--> ListingReview | | | +--> ListingPrivateStatus | | | +--> PendingDeletionToOwner | | | +--> PendingDeletionToSteward | | | +--> PendingDeletionApproved | | | +--> ListingSubmission | +--> Peer | +--> PeerBookmark | +--> CategorySubscription | +--> TagSubscription =====Vocab===== Target: is a Profile that should receive a notification Target List: A list of Profiles that should receive notifications Direct notification: The notification is produced by an action that the user does. In-direct Notification: The notification is produced by the observing a user action. """ import datetime import logging import pytz from django.db.models import Q from django.db import transaction from ozpcenter import errors from ozpcenter.models import Notification from ozpcenter.models import NotificationMailBox from ozpcenter.models import Profile from ozpcenter.models import Agency from ozpcenter.models import Listing from ozpcenter.models import ApplicationLibraryEntry from ozpcenter.models import Subscription import ozpcenter.model_access as generic_model_access logger = logging.getLogger('ozp-center.' + str(__name__)) permission_dict = { 'APPS_MALL_STEWARD': [ 'add_system_notification', 'change_system_notification', 'delete_system_notification', 'add_agency_notification', 'change_agency_notification', 'delete_agency_notification', 'add_listing_notification', 'change_listing_notification', 'delete_listing_notification', 'add_peer_notification', 'change_peer_notification', 'delete_peer_notification', 'add_peer_bookmark_notification', 'add_restore_bookmark_notification', 'change_peer_bookmark_notification', 'delete_peer_bookmark_notification', 'add_subscription_notification', 'change_subscription_notification', 'delete_subscription_notification' ], 'ORG_STEWARD': [ 'add_system_notification', 'change_system_notification', 'delete_system_notification', 'add_agency_notification', 'change_agency_notification', 'delete_agency_notification', 'add_listing_notification', 'change_listing_notification', 'delete_listing_notification', 'add_peer_notification', 'change_peer_notification', 'delete_peer_notification', 'add_peer_bookmark_notification', 'add_restore_bookmark_notification', 'change_peer_bookmark_notification', 'delete_peer_bookmark_notification', 'add_subscription_notification', 'change_subscription_notification', 'delete_subscription_notification' ], 'USER': [ 'add_listing_notification', 'change_listing_notification', 'delete_listing_notification', 'add_peer_notification', 'change_peer_notification', 'delete_peer_notification', 'add_peer_bookmark_notification', 'add_restore_bookmark_notification', 'change_peer_bookmark_notification', 'delete_peer_bookmark_notification', 'add_subscription_notification', 'change_subscription_notification', 'delete_subscription_notification' ] } # Method is decorated with @transaction.atomic to ensure all logic is executed in a single transaction @transaction.atomic def bulk_notifications_saver(notification_instances): # Loop over each store and invoke save() on each entry for notification_instance in notification_instances: notification_instance.save() def check_notification_permission(profile_instance, action, notification_type): """ Check to see if user has permission Args: profile_instance(Profile): Profile Instance action(string): add/change/delete notification_type(string): notification type Return: True or PermissionDenied Exception """ profile_role = profile_instance.highest_role() assert (profile_role in permission_dict), 'Profile group {} not found in permissions'.format(profile_role) user_action = '{}_{}_notification'.format(action, notification_type) profile_permission_list = permission_dict[profile_role] if user_action not in profile_permission_list: raise errors.PermissionDenied('Profile does not have [{}] permissions'.format(user_action)) return True class NotificationBase(object): """ Process: Init NotificationBase Super Class Object Set sender_profile and entities list Validate sender_profile and entities list Do Global Permission Check Notify Validate expires_date, message """ def set_sender_and_entity(self, sender_profile_username, entity_dict): """ Set Sender Profile, entity object, metadata Args: sender_profile_username(string): Sender's Profile username (normally the request profile) entity(object): """ assert (sender_profile_username is not None), 'Sender Profile Username is necessary' self.sender_profile_username = sender_profile_username self.sender_profile = generic_model_access.get_profile(sender_profile_username) self.entity_dict = entity_dict def check_local_permission(self, entity): return True def permission_check(self): """ Global and Local check """ check_notification_permission(self.sender_profile, 'add', self.get_notification_db_type()) self.check_local_permission(self.entity_dict) def generate_model(self, expires_date, message): notification = Notification() notification.expires_date = expires_date notification.message = message notification.author = self.sender_profile notification.notification_type = self.get_notification_db_type() notification.notification_subtype = self.get_notification_db_subtype() notification.entity_id = self.get_entity_id() notification.group_target = self.get_group_target() return notification def get_notification_db_type(self): raise RuntimeError('Not Implemented') def get_notification_db_subtype(self): return None def get_entity_id(self): return None def get_group_target(self): return Notification.ALL def get_target_list(self): raise RuntimeError('Not Implemented') def modify_notification_before_save(self, notification_object): pass def notify(self, expires_date, message): assert (expires_date is not None), 'Expires Date is necessary' assert (message is not None), 'Message is necessary' self.permission_check() notification = self.generate_model(expires_date, message) self.modify_notification_before_save(notification) notification.save() target_list = self.get_target_list() bulk_notification_list = [] for target_profile in target_list: notificationMailBox = NotificationMailBox() notificationMailBox.target_profile = target_profile notificationMailBox.notification = notification # All the flags default to false notificationMailBox.emailed_status = False bulk_notification_list.append(notificationMailBox) if len(bulk_notification_list) >= 2000: bulk_notifications_saver(bulk_notification_list) bulk_notification_list = [] if bulk_notification_list: bulk_notifications_saver(bulk_notification_list) return notification class SystemWideNotification(NotificationBase): """ issue: AMLNG-395 notification_type: System Wide description: As a user, I want to receive System-Wide Notifications target: All Users permission constraint: Only APP_MALL_STEWARDs can send notifications invoked: Directly test_case: todo """ def get_notification_db_type(self): return Notification.SYSTEM def get_notification_db_subtype(self): return None def get_target_list(self): return Profile.objects.all() class AgencyWideNotification(NotificationBase): """ issue: AMLNG-398 notification_type: Agency Wide description: As a user, I want to receive Agency-Wide Notifications target: Get all profiles that belongs to an organization and get all stewards for that organization permission constraint: Only APP_MALL_STEWARDs, ORG_STEWARDs can send notifications invoked: Directly test_case: todo """ def modify_notification_before_save(self, notification_object): notification_object.agency = self.entity_dict['agency'] def get_notification_db_type(self): return Notification.AGENCY def get_notification_db_subtype(self): return None def get_entity_id(self): return self.entity_dict['agency'].id def get_target_list(self): agency = self.entity_dict['agency'] return Profile.objects.filter(Q(organizations__in=[agency]) | Q(stewarded_organizations__in=[agency])).all() class AgencyWideBookmarkNotification(NotificationBase): """ issue: AMLNG-398 notification_type: AgencyWide Bookmark description: As a user, I want to receive Agency-Wide Notifications target: Get all profiles that belongs to an organization and get all stewards for that organization permission constraint: Only APP_MALL_STEWARDs, ORG_STEWARDs can send notifications invoked: Directly test_case: todo """ def modify_notification_before_save(self, notification_object): notification_object.agency = self.entity_dict['agency'] def get_notification_db_type(self): return Notification.AGENCY_BOOKMARK def get_notification_db_subtype(self): return None def get_entity_id(self): return self.entity_dict['agency'].id def get_target_list(self): agency = self.entity_dict['agency'] return Profile.objects.filter(Q(organizations__in=[agency]) | Q(stewarded_organizations__in=[agency])).all() class ListingNotification(NotificationBase): """ issue: AMLNG-396 notification_type: Listing Notifications description: Send a notification to all the users that bookmark given listing target: All users that bookmarked listing permission constraint: Only APP_MALL_STEWARDs and ORG_STEWARDs or owners of listing can send notifications invoked: Directly test_case: todo """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return None def get_entity_id(self): return self.entity_dict['listing'].id def get_target_list(self): owner_id_list = ApplicationLibraryEntry.objects.filter(listing__in=[self.entity_dict['listing']], listing__isnull=False, listing__approval_status=Listing.APPROVED, listing__is_deleted=False).values_list('owner', flat=True).distinct() return Profile.objects.filter(id__in=owner_id_list, listing_notification_flag=True).all() def check_local_permission(self, entity): if self.sender_profile.highest_role() in ['APPS_MALL_STEWARD', 'ORG_STEWARD']: return True if self.sender_profile not in self.entity_dict['listing'].owners.all(): raise errors.PermissionDenied('Cannot create a notification for a listing you do not own') else: return True return False class PeerNotification(NotificationBase): """ issue: AMLNG-381 notification_type: Peer description: As a user, I want to receive notification when someone send a message to me target: User Given Target permission constraint: ? test_case: todo """ def modify_notification_before_save(self, notification_object): notification_object.peer = self.entity_dict['peer'] def get_notification_db_type(self): return Notification.PEER def get_notification_db_subtype(self): return None def get_group_target(self): return Notification.USER def get_target_list(self): # entity: 'peer_profile': peer_profile, # metadata: 'peer': peer, entities_id = [entity.id for entity in [self.entity_dict['peer_profile']]] return Profile.objects.filter(id__in=entities_id).all() class PeerBookmarkNotification(NotificationBase): """ issue: AMLNG-381 notification_type: PeerBookmark description: As a user, I want to receive notification when someone shares a folder with me target: User Given Target permission constraint: Must be owner of shared folder to send test_case: Logged on as jones Shared a folder with aaronson Logged on as aaronson RESULTS: aaronson has a new notification added to the notification count.Add folder button is present and adds the shared folder to HuD screen. """ def modify_notification_before_save(self, notification_object): notification_object.peer = self.entity_dict['peer'] def get_notification_db_type(self): return Notification.PEER_BOOKMARK def get_notification_db_subtype(self): return None def get_group_target(self): return Notification.USER def get_target_list(self): # entity: 'peer_profile': peer_profile, # metadata: 'peer': peer, entities_id = [entity.id for entity in [self.entity_dict['peer_profile']]] return Profile.objects.filter(id__in=entities_id).all() class RestoreBookmarkNotification(NotificationBase): """ issue: AMLNG-700 notification_type: Restore Bookmark Folder description: As a user, I would like the ability to be able to recover a deleted folder full of bookmarked listings with an undo delete function. target: User Given Target permission constraint: Must be owner of folder test_case: Logged on as jones Delete a folder Restore folder from Notifications RESULTS: Restore folder button is present and readds the folder to HuD screen. """ def modify_notification_before_save(self, notification_object): notification_object.peer = self.entity_dict['peer'] def get_notification_db_type(self): return Notification.RESTORE_BOOKMARK def get_notification_db_subtype(self): return None def get_group_target(self): return Notification.USER def get_target_list(self): entities_id = [entity.id for entity in [self.entity_dict['peer_profile']]] return Profile.objects.filter(id__in=entities_id).all() class ListingReviewNotification(NotificationBase): # Not Verified """ issue: AMLNG-377 notification_type: Listing Review description: As an owner or CS, I want to receive notification of user rating and reviews target: Users that ___ invoked: In-directly test_case: Description - Verify the CS and listing owner receives a notification when the review is added or modified. *Pre-req*- Add aaronson as listing owner to Airmail. Log on as syme (minipax) Deleted, Added and Modified review on Airmail ( minitru) Log on as wsmith (minitru-org steward) EXPECTED RESULTS - At least two notifications should display for wsmith. Log on as aaronson EXPECTED RESULTS - At least two notifications should display for aaronson. """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return Notification.LISTING_REVIEW def get_group_target(self): return Notification.USER def get_entity_id(self): return self.entity_dict['listing'].id def get_target_list(self): current_listing = self.entity_dict['listing'] target_set = set() for owner in current_listing.owners.filter(listing_notification_flag=True).all(): target_set.add(owner) current_listing_agency_id = current_listing.agency.id for steward in Profile.objects.filter(stewarded_organizations__in=[current_listing_agency_id], listing_notification_flag=True).all(): target_set.add(steward) return list(target_set) class ListingOwnerNotification(NotificationBase): # Not Verified """ issue: AMLNG-??? notification_type: Listing Owner As an user, I want to send a notification to the owners and org_steward for that listing's agency target: owners and org_steward for that listing's agency invoked: Directly """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.LISTING def get_group_target(self): return Notification.USER def get_target_list(self): current_listing = self.entity_dict['listing'] target_set = set() for owner in current_listing.owners.filter(listing_notification_flag=True).all(): target_set.add(owner) current_listing_agency_id = current_listing.agency.id for steward in Profile.objects.filter(stewarded_organizations__in=[current_listing_agency_id], listing_notification_flag=True).all(): target_set.add(steward) return list(target_set) class ListingPrivateStatusNotification(NotificationBase): """ issue: AMLNG-383 notification_type: ListingPrivateStatus description: As a owner, I want to notify users who have bookmarked my listing when the listing is changed from public to private and vice-versa permission constraint: Only APP_MALL_STEWARDs and ORG_STEWARDs or owners of listing can target: Users that bookmarked listing invoked: In-directly test_case: Bookmarked an app listing in my own org Went to Bookmarked App Listing Quick View Modal | Send Notifications | Sent a notification RESULTS - I received the notification Bookmarked an app listing that did not belong to the org I was in Went to Bookmarked App Listing Quick View Modal | Send Notifications | Sent a notification RESULTS - I received the notification """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return Notification.LISTING_PRIVATE_STATUS def get_target_list(self): owner_id_list = ApplicationLibraryEntry.objects.filter(listing__in=[self.entity_dict['listing']], listing__isnull=False, listing__approval_status=Listing.APPROVED, listing__is_enabled=True, listing__is_deleted=False).values_list('owner', flat=True).distinct() return Profile.objects.filter(id__in=owner_id_list, listing_notification_flag=True).all() def check_local_permission(self, entity): if self.sender_profile.highest_role() in ['APPS_MALL_STEWARD', 'ORG_STEWARD']: return True if self.sender_profile not in self.entity_dict['listing'].owners.all(): raise errors.PermissionDenied('Cannot create a notification for a listing you do not own') else: return True return False class PendingDeletionToOwnerNotification(NotificationBase): # Not Verified """ issue: AMLNG-170 notification_type: PendingDeletionToOwner description: As an Owner I want to receive notice of whether my deletion request has been rejected target: Users that ___ invoked: In-directly event_occurs: Listing DELETED - Steward approved deletion PENDING_DELETION --> DELETED User undeleted the listing - Steward rejects deletion PENDING_DELETION --> PENDING test_case: Logged on as jones Set Test Notification Listing to Pend for Deletion state Logged on as minitrue Org Content Steward- julia Approved the deletion Logged on as jones RESULTS The notification launched = Test Notification Listing listing was approved for deletion by steward """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return Notification.PENDING_DELETION_TO_OWNER def get_target_list(self): current_listing = self.entity_dict['listing'] return current_listing.owners.filter(listing_notification_flag=True).all().distinct() class PendingDeletionToStewardNotification(NotificationBase): # Not Verified """ issue: AMLNG-173, AMLOS-490 notification_type: PendingDeletionToSteward As an cs I want a notification if an owner has cancelled an app that was pending deletion as a cs, I want a notification if an owner pends a listing for deletion event_occurs: This event occurs when User undeleted the listing PENDING_DELETION --> PENDING User pends a listing for deletion ANY --> PENDING_DELETION test_case: Set Test Notification Listing to Pend for Deletion Status RESULTS - Notificaiton launched = Listing Owner has requested the deletion of Test Notification Listing listing Logged on as jones (owner of <Test Notification> Listing) Undeleted the Test Notification Listing Logged on as Org Content Steward - julia RESULTS - Notificaiton launched = Listing Owner cancelled deletion of Test Notification Listing listing """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return Notification.PENDING_DELETION_TO_STEWARD def get_target_list(self): current_listing = self.entity_dict['listing'] current_listing_agency_id = current_listing.agency.id target_set = set() for steward in Profile.objects.filter(stewarded_organizations__in=[current_listing_agency_id], listing_notification_flag=True).all(): target_set.add(steward) for admin in Profile.objects.filter(user__groups__name='APPS_MALL_STEWARD', listing_notification_flag=True).all(): target_set.add(admin) return list(target_set) class PendingDeletionApprovedNotification(NotificationBase): """ notification_type: PendingDeletionApproved As a listing owner I want a notification if a steward has approved the deletion of the listing event_occurs: This event occurs when Steward approves listing PENDING_DELETION --> DELETED test_case: Set Test Notification Listing to Pend for Deletion Status RESULTS - Notificaiton launched = Listing Owner has requested the deletion of Test Notification Listing listing Logged on as Org Content Steward - julia Approve the deletion requested Logged on as owner - jones RESULTS - Notificaiton launched = Listing Owner cancelled deletion of Test Notification Listing listing """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return Notification.PENDING_DELETION_APPROVED def get_target_list(self): current_listing = self.entity_dict['listing'] current_listing_agency_id = current_listing.agency.id target_set = set() for steward in Profile.objects.filter(stewarded_organizations__in=[current_listing_agency_id], listing_notification_flag=True).all(): target_set.add(steward) for admin in Profile.objects.filter(user__groups__name='APPS_MALL_STEWARD', listing_notification_flag=True).all(): target_set.add(admin) for owner in current_listing.owners.filter(listing_notification_flag=True).all().distinct(): target_set.add(owner) return list(target_set) class ListingSubmissionNotification(NotificationBase): """ issue: AMLNG-376 notification_type: ListingSubmission description: As a CS, I want to receive notification of Listings submitted for my organization target: Listing Agency ORG_STEWARDs invoked: In-directly event_occurs: This event occurs when User Submitted Listings IN_PROGRESS --> PENDING a = Listing.objects.last(); a.approval_status = Listing.IN_PROGRESS; a.save() test_case: Logged into Apps Mall as jones ( minitrue) Submitted a new listing using org minitrue. Logged into Apps mall as CS - julia (minitrue) RESULTS - Notification displays = Test Notification Listing listing was submitted """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_group_target(self): return Notification.ORG_STEWARD def get_notification_db_type(self): return Notification.LISTING def get_notification_db_subtype(self): return Notification.LISTING_NEW def get_target_list(self): current_listing = self.entity_dict['listing'] current_listing_agency_id = current_listing.agency.id return Profile.objects.filter(stewarded_organizations__in=[current_listing_agency_id], listing_notification_flag=True).all().distinct() class TagSubscriptionNotification(NotificationBase): # Not Verified """ issue: AMLNG-392 notification_type: TagSubscription As a user, I want to receive notification when a Listing is added to a subscribed tag target: Users that ___ invoked: In-directly """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.SUBSCRIPTION def get_notification_db_subtype(self): return Notification.SUBSCRIPTION_TAG def get_target_list(self): # entity: listing, metadata: entities subscription_entries = Subscription.objects.filter(entity_type='tag', entity_id__in=list(self.entity_dict['entities'])) target_profiles = set() for subscription_entry in subscription_entries: target_profile = subscription_entry.target_profile if target_profile.subscription_notification_flag: target_profiles.add(target_profile) return list(target_profiles) class CategorySubscriptionNotification(NotificationBase): # Not Verified """ issue: AMLNG-380 notification_type: CategorySubscription description: As a user, I want to receive notification when a Listing is added to a subscribed category target: Users that are subscribed to category invoked: In-directly event_occurs: Should occur when a user submits a listing with a category and listing gets approved, it should send out notifications for users that have that category subscribed and has the Subscription Preference Flag to True Should occur when a published listing add new category, it should send out notifications for users that have that category subscribed and has the Subscription Preference Flag to True test_case: Logged on as jones Subscribed to Finance Logged on as big brother Add any Listing to Finance Logged on as jones RESULTS- Notification "A new listing in category Finance" """ def modify_notification_before_save(self, notification_object): notification_object.listing = self.entity_dict['listing'] def get_entity_id(self): return self.entity_dict['listing'].id def get_notification_db_type(self): return Notification.SUBSCRIPTION def get_notification_db_subtype(self): return Notification.SUBSCRIPTION_CATEGORY def get_target_list(self): # entity: listing, metadata: entities subscription_entries = Subscription.objects.filter(entity_type='category', entity_id__in=list(self.entity_dict['entities'])) target_profiles = set() for subscription_entry in subscription_entries: target_profile = subscription_entry.target_profile if target_profile.subscription_notification_flag: target_profiles.add(target_profile) return list(target_profiles) class StewardAppNotification(NotificationBase): """ issue: AMLNG-745 notification_type: StewardAppNotification description: A process to notify and instruct content stewards to review and update, as needed, current listing information for all listing in their organization. An admin has the ability to send out a notification to all Content Stewards, notifying them to review their org's Listings and make any necessary changes. Content Steward updates Listing as needed via Create New Listing Form (the usual means of updating listings) Content Steward and listing owner(s) are notified when listing has been updated and approve target: All ORG_STEWARDS permission constraint: Only APP_MALL_STEWARDs can send notifications invoked: Directly test_case: As bigbrother, Go to Center Settings (from the dropdown menu) Go to the Notifications Tab Select the 'Update Request' type See that the Notification text is populated with a default message (you can change this message if you like) Set expires on date Press send Login as david, julia, obrien and wsmith to make sure that they have received the message and that it has the link as detailed in acceptance criteria bigbrother should not receive the notification hodor should not receive the notification jones should not receive the notification """ def modify_notification_before_save(self, notification_object): pass def get_entity_id(self): pass def get_notification_db_type(self): return Notification.SYSTEM def get_notification_db_subtype(self): return Notification.REVIEW_REQUEST def get_group_target(self): return Notification.ORG_STEWARD def get_target_list(self): target_set = set() agencies = Agency.objects.all() for steward in Profile.objects.filter(stewarded_organizations__in=agencies, listing_notification_flag=True).all(): target_set.add(steward) return list(target_set)

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b0c6156493e7d1d103288c926c4356cf627ef31d

471

py

Python

Inmortal.py/inmortal.py

AnaLopezP/Ejercicios-de-Agregacion-y-Composicion-de-POO

d078f894a50380abcd505a3670b5caabc64e19b0

[ "Apache-2.0" ]

null

Inmortal.py/inmortal.py

AnaLopezP/Ejercicios-de-Agregacion-y-Composicion-de-POO

d078f894a50380abcd505a3670b5caabc64e19b0

[ "Apache-2.0" ]

null

Inmortal.py/inmortal.py

AnaLopezP/Ejercicios-de-Agregacion-y-Composicion-de-POO

d078f894a50380abcd505a3670b5caabc64e19b0

[ "Apache-2.0" ]

null

#si quitamos el yin.yang = yang (asi como el print(yin.yang is yang) para que no de error), el mensaje aparece antes de la interrogacion. #esto ocurre porque al hacer esa asignacion creamos dos variables apuntando al mismo objeto. #entonces, al destruirlo, destruye una de las dos variables, pero no el objeto, que se destruye automaticamente al final de la ejecucion. #otra manera de evitar esto es llamando al destructor con las dos variables antes de la interrogacion.

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b0c93205c960de1aa8c5c1b64d04772df691457d

20

py

Python

data/studio21_generated/introductory/4415/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/4415/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/4415/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def proc_arr(arr):

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null

0

1

0

4

b0d602836cace314da75aa57f03b79d0e46a8cdd

165

py

Python

basic/05_slice.py

onezens/python

73cdc22901a006751338d0145b6e120e55fdf80f

[ "MIT" ]

null

basic/05_slice.py

onezens/python

73cdc22901a006751338d0145b6e120e55fdf80f

[ "MIT" ]

null

basic/05_slice.py

onezens/python

73cdc22901a006751338d0145b6e120e55fdf80f

[ "MIT" ]

null

#!usr/bin/python #encoding=utf8 #下标 name = "xiaoming" print(name[0]) print(name[2]) #切边 print(name[0:6]) print(name[0:6:2]) print(name[6:]) print(name[-1::-1])

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b0fa7caa65a6e46aaa0595efe90c8648776ad0dc

27

py

Python

bernard/__init__.py

leviroth/bernard

f4d766d45ffbde0ff5d91ce8e3c66d2728d6c2aa

[ "MIT" ]

2

2017-03-10T19:13:04.000Z

2017-06-19T05:11:32.000Z

bernard/__init__.py

leviroth/bernard

f4d766d45ffbde0ff5d91ce8e3c66d2728d6c2aa

[ "MIT" ]

7

2017-10-18T23:25:04.000Z

2018-06-26T02:44:53.000Z

bernard/__init__.py

leviroth/bernard

f4d766d45ffbde0ff5d91ce8e3c66d2728d6c2aa

[ "MIT" ]

1

2017-04-12T20:38:51.000Z

"""The bernard package."""

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9fe0e7d55431467d269deeeeca040a2a620f238c

7,642

py

Python

python/bad_copyrights.py

lachlanorr/gaen

325b4604ac8a8a366aa93cca9d8393ccdbc682fa

[ "Zlib" ]

2

2015-05-07T21:03:25.000Z

2017-10-11T11:17:28.000Z

python/bad_copyrights.py

lachlanorr/gaen

325b4604ac8a8a366aa93cca9d8393ccdbc682fa

[ "Zlib" ]

4

2016-06-25T21:41:50.000Z

2016-12-26T19:35:19.000Z

python/bad_copyrights.py

lachlanorr/gaen

325b4604ac8a8a366aa93cca9d8393ccdbc682fa

[ "Zlib" ]

1

2016-08-27T18:05:49.000Z

#!/usr/bin/env python #------------------------------------------------------------------------------- # bad_copyrights.py - Check for copyright headers in source files # # Gaen Concurrency Engine - http://gaen.org # Copyright (c) 2014-2021 Lachlan Orr # # This software is provided 'as-is', without any express or implied # warranty. In no event will the authors be held liable for any damages # arising from the use of this software. # # Permission is granted to anyone to use this software for any purpose, # including commercial applications, and to alter it and redistribute it # freely, subject to the following restrictions: # # 1. The origin of this software must not be misrepresented; you must not # claim that you wrote the original software. If you use this software # in a product, an acknowledgment in the product documentation would be # appreciated but is not required. # # 2. Altered source versions must be plainly marked as such, and must not be # misrepresented as being the original software. # # 3. This notice may not be removed or altered from any source # distribution. #------------------------------------------------------------------------------- ''' Prints out source file paths that are missing standard gaen copyright/license message. ''' import os import posixpath import re import datetime as dt SCRIPT_HEADER = (r"#-------------------------------------------------------------------------------\n" r"# %s - .+[^\.]\n" r"#\n" r"# Gaen Concurrency Engine - http://gaen\.org\n" r"# Copyright $c$ 2014-%d Lachlan Orr\n" r"#\n" r"# This software is provided 'as-is', without any express or implied\n" r"# warranty\. In no event will the authors be held liable for any damages\n" r"# arising from the use of this software\.\n" r"#\n" r"# Permission is granted to anyone to use this software for any purpose,\n" r"# including commercial applications, and to alter it and redistribute it\n" r"# freely, subject to the following restrictions:\n" r"#\n" r"# 1\. The origin of this software must not be misrepresented; you must not\n" r"# claim that you wrote the original software\. If you use this software\n" r"# in a product, an acknowledgment in the product documentation would be\n" r"# appreciated but is not required\.\n" r"#\n" r"# 2\. Altered source versions must be plainly marked as such, and must not be\n" r"# misrepresented as being the original software\.\n" r"#\n" r"# 3\. This notice may not be removed or altered from any source\n" r"# distribution\.\n" r"#-------------------------------------------------------------------------------\n") C_HEADER = (r"/\*------------------------------------------------------------------------------\n" r"%s - .+[^\.]\n" r"\n" r"Gaen Concurrency Engine - http://gaen\.org\n" r"Copyright $c$ 2014-%d Lachlan Orr\n" r"\n" r"This software is provided 'as-is', without any express or implied\n" r"warranty\. In no event will the authors be held liable for any damages\n" r"arising from the use of this software\.\n" r"\n" r"Permission is granted to anyone to use this software for any purpose,\n" r"including commercial applications, and to alter it and redistribute it\n" r"freely, subject to the following restrictions:\n" r"\n" r" 1\. The origin of this software must not be misrepresented; you must not\n" r" claim that you wrote the original software\. If you use this software\n" r" in a product, an acknowledgment in the product documentation would be\n" r" appreciated but is not required\.\n" r"\n" r" 2\. Altered source versions must be plainly marked as such, and must not be\n" r" misrepresented as being the original software\.\n" r"\n" r" 3\. This notice may not be removed or altered from any source\n" r" distribution\.\n" r"------------------------------------------------------------------------------\*/\n") CPP_HEADER = (r"//------------------------------------------------------------------------------\n" r"// %s - .+[^\.]\n" r"//\n" r"// Gaen Concurrency Engine - http://gaen\.org\n" r"// Copyright $c$ 2014-%d Lachlan Orr\n" r"//\n" r"// This software is provided 'as-is', without any express or implied\n" r"// warranty\. In no event will the authors be held liable for any damages\n" r"// arising from the use of this software\.\n" r"//\n" r"// Permission is granted to anyone to use this software for any purpose,\n" r"// including commercial applications, and to alter it and redistribute it\n" r"// freely, subject to the following restrictions:\n" r"//\n" r"// 1\. The origin of this software must not be misrepresented; you must not\n" r"// claim that you wrote the original software\. If you use this software\n" r"// in a product, an acknowledgment in the product documentation would be\n" r"// appreciated but is not required\.\n" r"//\n" r"// 2\. Altered source versions must be plainly marked as such, and must not be\n" r"// misrepresented as being the original software\.\n" r"//\n" r"// 3\. This notice may not be removed or altered from any source\n" r"// distribution\.\n" r"//------------------------------------------------------------------------------\n") def current_year(): return dt.datetime.now().year HEADERS = [(re.compile(r'^.*\.(h|c|cpp|cmp|m|mm)$'), CPP_HEADER), (re.compile(r'^.*\.(y|l)$'), C_HEADER), (re.compile(r'^.*\.py$'), SCRIPT_HEADER), (re.compile(r'^.*(CMakeLists.txt|\.cmake)$'), SCRIPT_HEADER), ] EXCLUDE_DIR_RE = re.compile(r'^.*(/external/|/build/|/python/templates/|/compose/compose_(parser|scanner)\.).*$') def expected_header(path): fname = posixpath.split(path)[1] for pattern, header in HEADERS: if re.match(pattern, path): return header % (fname, current_year()) return None def verify_header(path, exphdr): with open(path, 'r') as f: data = f.read() return re.search(exphdr, data, re.MULTILINE) def checkfile(path): exphdr = expected_header(path) if (exphdr is not None): return verify_header(path, exphdr) return True def checkdir(path): for root, dirs, files in os.walk(path): for f in files: fullpath = posixpath.join(root.replace('\\', '/'), f) if not re.match(EXCLUDE_DIR_RE, fullpath): if not checkfile(fullpath): print fullpath def checkdirs(): scriptdir = os.path.split(os.path.abspath(__file__))[0].replace('\\', '/') gaendir = posixpath.split(scriptdir)[0] checkdir(gaendir) if __name__=='__main__': checkdirs()

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null

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null

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1

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9fff321ab9b32b6c9bc67b646ae1cdeebb9df8be

191

py

Python

BaseKnowledge/tensor/inv.py

Kose-i/python_test

d7b031aa33d699aeb9fe196fe0a6d216aa006f0d

[ "Unlicense" ]

null

BaseKnowledge/tensor/inv.py

Kose-i/python_test

d7b031aa33d699aeb9fe196fe0a6d216aa006f0d

[ "Unlicense" ]

null

BaseKnowledge/tensor/inv.py

Kose-i/python_test

d7b031aa33d699aeb9fe196fe0a6d216aa006f0d

[ "Unlicense" ]

null

import numpy as np a = np.matrix([[1,2],[3,4]]) print(a) print(np.linalg.inv(a)) b = np.matrix([[1,2],[2,4]]) print(np.linalg.det(b)) if np.linalg.det(b) != 0: print(np.linalg.inv(b))

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0.345133

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1

0

null

0

1

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b0071ff7de4c25ece92898782fc3a853cb9654ac

468

py

Python

sample_app/app.py

BkrmDahal/kubernetes_flaskapp

7690796250298104621e00e2d26b245fb71280e0

[ "MIT" ]

1

2021-12-10T05:26:42.000Z

sample_app/app.py

BkrmDahal/kubernetes_flaskapp

7690796250298104621e00e2d26b245fb71280e0

[ "MIT" ]

null

sample_app/app.py

BkrmDahal/kubernetes_flaskapp

7690796250298104621e00e2d26b245fb71280e0

[ "MIT" ]

null

import os from flask import Flask from flask import request import flask import redis import time import json from flask import Response, stream_with_context app = Flask(__name__) @app.route('/api/') def cluster(): return "welcome to cluster /api/" @app.route('/api/<welcome>') def cluster_2(welcome): return "welcome to cluster /api/ " + welcome @app.route('/') def cluster_1(): return "welcome to cluster" if __name__ == "__main__": app.run()

16.714286

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468

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null

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1

0

null

0

1

0

4

b024207829c40ad643325b825b27bbf88f69fbe2

521

py

Python

tests/examples/process/current.py

looking-for-a-job/elapsed.py

72089f6d24b907d0b0171358cc543b8841a1bc17

[ "Unlicense" ]

3

2020-10-02T23:18:20.000Z

2020-10-21T01:21:14.000Z

tests/examples/process/current.py

looking-for-a-job/elapsed.py

72089f6d24b907d0b0171358cc543b8841a1bc17

[ "Unlicense" ]

1

2022-01-27T00:01:10.000Z

2022-03-08T19:26:57.000Z

tests/examples/process/current.py

looking-for-a-job/elapsed.py

72089f6d24b907d0b0171358cc543b8841a1bc17

[ "Unlicense" ]

null

#!/usr/bin/env python import time import elapsed time.sleep(2) print("elapsed.get: %s" % elapsed.get()) print("elapsed.get.seconds: %s" % elapsed.get().seconds) print("elapsed.get.minutes: %s" % elapsed.get().minutes) print("elapsed.get.hours: %s" % elapsed.get().hours) print("elapsed.get.days: %s" % elapsed.get().days) print("") print("elapsed.seconds(): %s" % elapsed.seconds()) print("elapsed.minutes: %s" % elapsed.minutes()) print("elapsed.hours: %s" % elapsed.hours()) print("elapsed.days: %s" % elapsed.days())

32.5625

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521

4.797297

0.216216

0.28169

0.211268

0

0.002101

0.086372

521

15

57

34.733333

0.743697

0.038388

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0

0.153846

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0.153846

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0

null

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null

0

1

0

1

0

4

b025f193f7a03b55064cf51c8d3c569cf88ed577

100

py

Python

__init__.py

JustTang/pyexp

671aeb0b2c64ce9294035ac5a680109a1efe87eb

[ "MIT" ]

null

__init__.py

JustTang/pyexp

671aeb0b2c64ce9294035ac5a680109a1efe87eb

[ "MIT" ]

null

__init__.py

JustTang/pyexp

671aeb0b2c64ce9294035ac5a680109a1efe87eb

[ "MIT" ]

null

import os,sys #add dll path in pyexp to sys.path sys.path.append(os.path.dirname(__file__)+'\\dll')

25

50

0.74

19

100

3.684211

0.631579

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33.333333

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0.33

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0.5

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1

0

null

0

1

0

null

0

1

0

1

0

4

b033f9baa755266488d6325fe33ece256b29d310

21

py

Python

jupyterlabpymolpysnips/Help/helpDocs.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

jupyterlabpymolpysnips/Help/helpDocs.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

jupyterlabpymolpysnips/Help/helpDocs.py

MooersLab/pymolpysnips

50a89c85adf8006d85c1d6cd3f8aad7e440a0b92

[ "MIT" ]

null

cmd.do('help(help)')

10.5

20

0.619048

4

21

3.25

0.75

0

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21

1

21

0.65

0

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0

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true

0

1

0

null

0

1

0

null

0

1

0

4

b056711b954bf645df425e92a1d1ec13e9ac3abf

4,910

py

Python

pyvolt/models/permissions.py

Gael-devv/Pyvolt

1d84ba95f1fd3f959a933051c25f8a3e60500c5d

[ "MIT" ]

null

pyvolt/models/permissions.py

Gael-devv/Pyvolt

1d84ba95f1fd3f959a933051c25f8a3e60500c5d

[ "MIT" ]

null

pyvolt/models/permissions.py

Gael-devv/Pyvolt

1d84ba95f1fd3f959a933051c25f8a3e60500c5d

[ "MIT" ]

null

from __future__ import annotations from .flags import BaseFlags, flag_value, fill_with_flags __all__ = ( "ChannelPermissions", "ServerPermissions" ) # Channel permissions # # View = 0b00000000000000000000000000000001 // 1 # SendMessage = 0b00000000000000000000000000000010 // 2 # ManageMessages = 0b00000000000000000000000000000100 // 4 # ManageChannel = 0b00000000000000000000000000001000 // 8 # VoiceCall = 0b00000000000000000000000000010000 // 16 # InviteOthers = 0b00000000000000000000000000100000 // 32 # EmbedLinks = 0b00000000000000000000000001000000 // 64 # UploadFiles = 0b00000000000000000000000010000000 // 128 # Server permissions # # View = 0b00000000000000000000000000000001 // 1 # ManageRoles = 0b00000000000000000000000000000010 // 2 # ManageChannels = 0b00000000000000000000000000000100 // 4 # ManageServer = 0b00000000000000000000000000001000 // 8 # KickMembers = 0b00000000000000000000000000010000 // 16 # BanMembers = 0b00000000000000000000000000100000 // 32 # ChangeNickname = 0b00000000000000000001000000000000 // 4096 # ManageNicknames = 0b00000000000000000010000000000000 // 8192 # ChangeAvatar = 0b00000000000000000100000000000000 // 16382 # RemoveAvatars = 0b00000000000000001000000000000000 // 32768 @fill_with_flags() class ChannelPermissions(BaseFlags): """Represents the channel permissions for a role as seen in channel settings.""" __slots__ = () def __init__(self, permissions: int = 0, **kwargs: bool): if not isinstance(permissions, int): raise TypeError(f"Expected int parameter, received {permissions.__class__.__name__} instead.") self.value = permissions for key, value in kwargs.items(): if key not in self.VALID_FLAGS: raise TypeError(f"{key!r} is not a valid permission name.") setattr(self, key, value) @classmethod def none(cls) -> ChannelPermissions: """A factory method that creates a :class:`ChannelPermissions` with all permissions set to ``False``. """ return cls(0) @classmethod def all(cls) -> ChannelPermissions: """A factory method that creates a :class:`ChannelPermissions` with all permissions set to ``True``. """ return cls(0b11111011) @classmethod def text(cls) -> ChannelPermissions: """A factory method that creates a :class:`ChannelPermissions` with all "Text" channel permissions from the Revolt api set to ``True``. """ return cls(0b11000011) @flag_value def view_channel(self) -> int: return 1 << 0 @flag_value def send_message(self) -> int: return 1 << 1 @flag_value def manage_messages(self) -> int: return 1 << 2 @flag_value def manage_channel(self) -> int: return 1 << 3 @flag_value def connect(self) -> int: return 1 << 4 @flag_value def invite_others(self) -> int: return 1 << 5 @flag_value def embed_links(self) -> int: return 1 << 6 @flag_value def upload_files(self) -> int: return 1 << 7 @fill_with_flags() class ServerPermissions(BaseFlags): """Represents the server permissions for a role as seen in server settings.""" __slots__ = () def __init__(self, permissions: int = 0, **kwargs: bool): if not isinstance(permissions, int): raise TypeError(f"Expected int parameter, received {permissions.__class__.__name__} instead.") self.value = permissions for key, value in kwargs.items(): if key not in self.VALID_FLAGS: raise TypeError(f"{key!r} is not a valid permission name.") setattr(self, key, value) @classmethod def none(cls) -> ServerPermissions: return cls(0) @classmethod def all(cls) -> ServerPermissions: return cls(0b1111000000111111) @classmethod def moderator(cls) -> ServerPermissions: return cls(0b1111000000101111) @flag_value def view_server(self) -> int: return 1 << 0 @flag_value def manage_roles(self) -> int: return 1 << 1 @flag_value def manage_channels(self) -> int: return 1 << 2 @flag_value def manage_server(self) -> int: return 1 << 3 @flag_value def kick_members(self) -> int: return 1 << 4 @flag_value def ban_members(self) -> int: return 1 << 5 @flag_value def change_nicknames(self) -> int: return 1 << 12 @flag_value def manage_nicknames(self) -> int: return 1 << 13 @flag_value def change_avatar(self) -> int: return 1 << 14 @flag_value def remove_avatars(self) -> int: return 1 << 15

27.740113

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6.144869

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0.082515

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176

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0

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0

null

0

1

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null

0

1

0

1

0

4

b062493d7e021cec3d76931477f2fcf5762473c7

395

py

Python

python/8kyu/fundamentails_return.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

3

2021-06-08T01:57:13.000Z

2021-06-26T10:52:47.000Z

python/8kyu/fundamentails_return.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

null

python/8kyu/fundamentails_return.py

Sigmanificient/codewars

b34df4bf55460d312b7ddf121b46a707b549387a

[ "MIT" ]

2

2021-06-10T21:20:13.000Z

2021-06-30T10:13:26.000Z

"""Kata url: https://www.codewars.com/kata/55a5befdf16499bffb00007b.""" def add(a: int, b: int) -> int: return a + b def multiply(a: int, b: int) -> int: return a * b def divide(a: int, b: int) -> float: return a / b def mod(a: int, b: int) -> int: return a % b def exponent(a: int, b: int) -> int: return a ** b def subt(a: int, b: int) -> int: return a - b

15.192308

71

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