xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

8e6de0dffa62535acd94ac48b411c974051bb2fa

6,558

py

Python

deepst/utils/evalMultiStepAhead.py

amirkhango/DeepST

7ba669013bbafd5f413ef50d5d76094c3a68efd6

[ "MIT" ]

29

2020-05-16T01:24:03.000Z

2022-03-28T02:17:16.000Z

deepst/utils/evalMultiStepAhead.py

wss981086665/DeepST

7ba669013bbafd5f413ef50d5d76094c3a68efd6

[ "MIT" ]

null

deepst/utils/evalMultiStepAhead.py

wss981086665/DeepST

7ba669013bbafd5f413ef50d5d76094c3a68efd6

[ "MIT" ]

21

2020-04-21T02:44:27.000Z

2022-03-13T14:18:34.000Z

from __future__ import print_function import sys from deepst_flow.models.gan import generator_model from deepst_flow.datasets import load_stdata from deepst_flow.preprocessing import MinMaxNormalization from deepst_flow.preprocessing import remove_incomplete_days # import h5py import numpy as np from keras.optimizers import Adam import os # from keras.callbacks import EarlyStopping import cPickle as pickle import time import pandas as pd from copy import copy from deepst_flow.config import Config from deepst_flow.datasets.STMatrix import STMatrix from deepst_flow.utils.eval import rmse np.random.seed(1337) # for reproducibility DATAPATH = Config().DATAPATH print(DATAPATH) def period_trend(period=1, trend=1): model_name = sys.argv[1] steps = 24 Period = 7 T = 48 # lenofday len_seq = 3 nb_flow = 4 nb_days = 120 # divide data into two subsets: # Train: ~ 2015.06.21 & Test: 2015.06.22 ~ 2015.06.28 len_train = T * (nb_days - 7) len_test = T * 7 data, timestamps = load_stdata(os.path.join(DATAPATH, 'traffic_flow_bj15_nomissing.h5')) print(timestamps) # remove a certain day which has not 48 timestamps data, timestamps = remove_incomplete_days(data, timestamps, T) # minmax_scale data_train = data[:len_train] mmn = MinMaxNormalization() mmn.fit(data_train) data = mmn.transform(data) st = STMatrix(data, timestamps, T) # save TCN and MMS fpkl = open('preprocessing.pkl', 'wb') for obj in [mmn]: # [tcn, mmn]: pickle.dump(obj, fpkl) fpkl.close() if period == 1 and trend == 1: depends = [1, 2, 3, Period*T, Period*T+1, Period*T+2, Period*T+3] len_close = 3 elif period == 1: depends = [1] + [Period * T * j for j in xrange(1, len_seq+1)] len_close = 1 elif trend == 1: depends = range(1, 1+len_seq) len_close = 3 else: depends = [1] len_close = 1 # else: # print("unknown args") # sys.exit(-1) generator = generator_model(nb_flow, len(depends), 32, 32) adam = Adam() generator.compile(loss='mean_absolute_error', optimizer=adam) generator.load_weights(model_name) # instance-based dataset --> sequences with format as (X, Y) where X is a sequence of images and Y is an image. offset_frame = pd.DateOffset(minutes=24 * 60 // T) Y_test = st.data[-(len_test+steps-1):] Y_pd_timestamps = st.pd_timestamps[-(len_test+steps-1):] X_test = [] for pd_timestamp in Y_pd_timestamps: x = [st.get_matrix(pd_timestamp - j * offset_frame) for j in depends] X_test.append(np.vstack(x)) X_test = np.asarray(X_test) Y_true = mmn.inverse_transform(Y_test[-len_test:]) Y_hats = [] for k in xrange(1, steps+1): print("\n\n==%d-step rmse==" % k) ts = time.time() Y_hat = generator.predict(X_test) Y_hats.append(copy(Y_hat)) print('Y_hat shape', Y_hat.shape, 'X_test shape:', X_test.shape) # eval Y_pred = mmn.inverse_transform(Y_hat[-len_test:]) rmse(Y_true, Y_pred) X_test_hat = copy(X_test[1:]) for j in xrange(1, min(k, len_close) + 1): # Y^\hat _t replace X_test_hat[:, nb_flow*(j-1):nb_flow*j] = Y_hats[-j][:-j] X_test = copy(X_test_hat) print("\nelapsed time (eval): ", time.time() - ts) def period_trend_closeness(len_closeness=3, len_trend=3, TrendInterval=7, len_period=3, PeriodInterval=1): print("start: period_trend_closeness") model_name = sys.argv[1] steps = 24 # Period = 7 T = 48 # lenofday # len_seq = 3 nb_flow = 4 nb_days = 120 # divide data into two subsets: # Train: ~ 2015.06.21 & Test: 2015.06.22 ~ 2015.06.28 len_train = T * (nb_days - 7) len_test = T * 7 data, timestamps = load_stdata(os.path.join(DATAPATH, 'traffic_flow_bj15_nomissing.h5')) print(timestamps) # remove a certain day which has not 48 timestamps data, timestamps = remove_incomplete_days(data, timestamps, T) # minmax_scale data_train = data[:len_train] mmn = MinMaxNormalization() mmn.fit(data_train) data = mmn.transform(data) st = STMatrix(data, timestamps, T) # save TCN and MMS fpkl = open('preprocessing.pkl', 'wb') for obj in [mmn]: # [tcn, mmn]: pickle.dump(obj, fpkl) fpkl.close() depends = range(1, len_closeness+1) + \ [PeriodInterval * T * j for j in xrange(1, len_period+1)] + \ [TrendInterval * T * j for j in xrange(1, len_trend+1)] generator = generator_model(nb_flow, len(depends), 32, 32) adam = Adam() generator.compile(loss='mean_absolute_error', optimizer=adam) generator.load_weights(model_name) # instance-based dataset --> sequences with format as (X, Y) where X is a sequence of images and Y is an image. offset_frame = pd.DateOffset(minutes=24 * 60 // T) Y_test = st.data[-(len_test+steps-1):] Y_pd_timestamps = st.pd_timestamps[-(len_test+steps-1):] X_test = [] for pd_timestamp in Y_pd_timestamps: x = [st.get_matrix(pd_timestamp - j * offset_frame) for j in depends] X_test.append(np.vstack(x)) X_test = np.asarray(X_test) Y_true = mmn.inverse_transform(Y_test[-len_test:]) Y_hats = [] for k in xrange(1, steps+1): print("\n\n==%d-step rmse==" % k) ts = time.time() Y_hat = generator.predict(X_test) Y_hats.append(copy(Y_hat)) print('Y_hat shape', Y_hat.shape, 'X_test shape:', X_test.shape) # eval Y_pred = mmn.inverse_transform(Y_hat[-len_test:]) rmse(Y_true, Y_pred) X_test_hat = copy(X_test[1:]) for j in xrange(1, min(k, len_closeness) + 1): # Y^\hat _t replace X_test_hat[:, nb_flow*(j-1):nb_flow*j] = Y_hats[-j][:-j] X_test = copy(X_test_hat) print("\nelapsed time (eval): ", time.time() - ts) if __name__ == '__main__': if int(sys.argv[2]) == 0: # period & trend period_trend(1, 1) elif int(sys.argv[2]) == 1: # period period_trend(1, 0) elif int(sys.argv[2]) == 2: # trend period_trend(0, 1) elif int(sys.argv[2]) == 3: period_trend(0, 0) else: period_trend_closeness() # print("unknown args") # sys.exit(-1)

33.28934

116

0.613602

967

6,558

3.963806

0.180972

0.031307

0.025567

0.015654

0.735716

0.714584

0.693973

0.679885

0

0.035677

0.264867

6,558

196

117

33.459184

0.759386

0.127478

0

0.676056

0

0.055899

0.014931

0

1

0.014085

false

0

0.112676

0

0.126761

0.077465

0

null

0

1

0

1

0

null

0

2

8e75a055e209b834657641cfacff2b7ed0b25ae6

58

py

Python

ktpdriver/__init__.py

kevinmooreiii/moldriver

65a0a9cef8971737076f81720a61aa5b607333d2

[ "Apache-2.0" ]

null

ktpdriver/__init__.py

kevinmooreiii/moldriver

65a0a9cef8971737076f81720a61aa5b607333d2

[ "Apache-2.0" ]

null

ktpdriver/__init__.py

kevinmooreiii/moldriver

65a0a9cef8971737076f81720a61aa5b607333d2

[ "Apache-2.0" ]

null

from ktpdriver import driver __all__ = [ 'driver', ]

9.666667

28

0.655172

6

58

5.666667

0.833333

0

0.241379

58

5

29

11.6

0.772727

0

0.103448

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

8e8b9d129f916946481bd39278edb777b5b2cfcd

338

py

Python

SoloLearnPython3/Part_2/sketch_4b.py

mahmoudmheisen91/Python_EDU

3ca08f65bb219335502159a6d13617b9a73c3b7e

[ "MIT" ]

null

SoloLearnPython3/Part_2/sketch_4b.py

mahmoudmheisen91/Python_EDU

3ca08f65bb219335502159a6d13617b9a73c3b7e

[ "MIT" ]

null

SoloLearnPython3/Part_2/sketch_4b.py

mahmoudmheisen91/Python_EDU

3ca08f65bb219335502159a6d13617b9a73c3b7e

[ "MIT" ]

null

# Files: import os try: f = open(os.getcwd()+"\\text_file_1.txt", "r+") #print(f.read()) #print(f.read(16)) #print(f.readlines()) #for line in f: # print(line) a = f.write("testing...") print(a) #print(f.read()) finally: f.close() # With - auto close: with open(os.getcwd()+"\\text_file_1.txt", "r+") as f: print(f.read())

15.363636

54

0.591716

58

338

3.37931

0.465517

0.153061

0.204082

0.163265

0.255102

0

0.013937

0.150888

338

21

55

16.095238

0.66899

0.349112

0

0.228571

0

1

0

false

0

0.111111

0

0.111111

0.222222

0

null

0

1

0

null

0

2

8e8d184961edd6c1dfb170d828dad00771f70762

1,369

py

Python

jina/executors/indexers/cache.py

sdsd0101/jina

1a835d9015c627a2cbcdc58ee3d127962ada1bc9

[ "Apache-2.0" ]

null

jina/executors/indexers/cache.py

sdsd0101/jina

1a835d9015c627a2cbcdc58ee3d127962ada1bc9

[ "Apache-2.0" ]

null

jina/executors/indexers/cache.py

sdsd0101/jina

1a835d9015c627a2cbcdc58ee3d127962ada1bc9

[ "Apache-2.0" ]

null

from typing import Optional import numpy as np from . import BaseKVIndexer from ...proto import uid class DocIDCache(BaseKVIndexer): """Store doc ids in a int64 set and persistent it to a numpy array """ def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.handler_mutex = False #: for Cache we need to release the handler mutex to allow RW at the same time def add(self, doc_id: str, *args, **kwargs): d_id = uid.id2hash(doc_id) self.query_handler.add(d_id) self._size += 1 self.write_handler.write(np.int64(d_id).tobytes()) def query(self, doc_id: str, *args, **kwargs) -> Optional[bool]: if self.query_handler: d_id = uid.id2hash(doc_id) return (d_id in self.query_handler) or None @property def is_exist(self) -> bool: """ Always return true, delegate to :meth:`get_query_handler` :return: True """ return True def get_query_handler(self): if super().is_exist: with open(self.index_abspath, 'rb') as fp: return set(np.frombuffer(fp.read(), dtype=np.int64)) else: return set() def get_add_handler(self): return open(self.index_abspath, 'ab') def get_create_handler(self): return open(self.index_abspath, 'wb')

29.12766

114

0.620161

192

1,369

4.234375

0.416667

0.01845

0.059041

0.073801

0.189422

0.091021

0

0.008982

0.268079

1,369

46

115

29.76087

0.802395

0.157049

0

0.066667

0

0.005333

0

1

0.233333

false

0

0.133333

0.066667

0.6

0

null

0

null

0

1

0

1

0

2

8eb2b601fdc2c3d0c7c565e6a7177f4f981f1ffd

1,057

py

Python

tests/cases/doc/test_parametrize_alt.py

broglep-work/python-pytest-cases

4976c0073a2fad5fbe5de34a5d1199efda0b7da9

[ "BSD-3-Clause" ]

213

2018-07-05T21:21:21.000Z

2022-03-22T04:54:53.000Z

tests/cases/doc/test_parametrize_alt.py

broglep-work/python-pytest-cases

4976c0073a2fad5fbe5de34a5d1199efda0b7da9

[ "BSD-3-Clause" ]

259

2018-06-22T16:46:33.000Z

2022-03-23T19:39:15.000Z

tests/cases/doc/test_parametrize_alt.py

broglep-work/python-pytest-cases

4976c0073a2fad5fbe5de34a5d1199efda0b7da9

[ "BSD-3-Clause" ]

27

2019-03-26T12:46:49.000Z

2022-02-21T16:56:23.000Z

# Authors: Sylvain MARIE <sylvain.marie@se.com> # + All contributors to <https://github.com/smarie/python-pytest-cases> # # License: 3-clause BSD, <https://github.com/smarie/python-pytest-cases/blob/master/LICENSE> import pytest from pytest_cases import parametrize_with_cases def case_sum_one_plus_two(): a = 1 b = 2 c = 3 return a, b, c @parametrize_with_cases(argnames=["a", "b", "c"], cases=".") def test_argnames_as_list(a, b, c): assert a + b == c @parametrize_with_cases(argnames=("a", "b", "c"), cases=".") def test_argnames_as_tuple(a, b, c): assert a + b == c def test_argnames_from_invalid_type(): with pytest.raises( TypeError, match="^argnames should be a string, list or a tuple$" ): parametrize_with_cases(argnames=42, cases=".")(lambda _: None) def test_argnames_element_from_invalid_type(): with pytest.raises( TypeError, match="^all argnames should be strings$" ): parametrize_with_cases(argnames=["a", 2, "c"], cases=".")(lambda _: None)

27.102564

92

0.661306

151

1,057

4.417219

0.370861

0.02099

0.031484

0.167916

0.488756

0.445277

0.302849

0.167916

0

0.008187

0.191107

1,057

38

93

27.815789

0.77193

0.203406

0

0.26087

0

0.107527

0

0.086957

1

0.217391

false

0

0.086957

0

0.347826

0

null

0

1

0

null

0

1

0

2

8eb5408797a9adfef2dd2e703600111076f8e969

500

py

Python

chatServer/chatServerConstants.py

odeke-em/restAssured

72d5c3a3fe9fd090f067a4332f2a1df15370b1bb

[ "MIT" ]

1

2016-11-20T17:54:02.000Z

chatServer/chatServerConstants.py

odeke-em/restAssured

72d5c3a3fe9fd090f067a4332f2a1df15370b1bb

[ "MIT" ]

null

chatServer/chatServerConstants.py

odeke-em/restAssured

72d5c3a3fe9fd090f067a4332f2a1df15370b1bb

[ "MIT" ]

null

# Author: Konrad Lindenbach <klindenb@ualberta.ca>, # Emmanuel Odeke <odeke@ualberta.ca> # Copyright (c) 2014 # Table name strings MESSAGE_TABLE_KEY = "Message" RECEIPIENT_TABLE_KEY = "Receipient" MESSAGE_MARKER_TABLE_KEY = "MessageMarker" MAX_NAME_LENGTH = 60 # Arbitrary value MAX_BODY_LENGTH = 200 # Arbitrary value MAX_ALIAS_LENGTH = 60 # Arbitrary value MAX_TOKEN_LENGTH = 512 # Arbitrary value MAX_SUBJECT_LENGTH = 80 # Arbitrary value MAX_PROFILE_URI_LENGTH = 400 # Arbitrary value

29.411765

51

0.78

67

500

5.522388

0.507463

0.227027

0.22973

0.118919

0.135135

0

0.044496

0.146

500

16

52

31.25

0.822014

0.452

0

0.114068

0

1

0

false

0

null

1

0

null

0

2

8ec6a49c43f0dfa005b4b57585655882de2d95f4

2,735

py

Python

app/views/users.py

MatheusMullerGit/api-rest-flask-jwt-authentication

85ff7e8ed9f5472d3dad097c057b10ac88607d89

[ "MIT" ]

null

app/views/users.py

MatheusMullerGit/api-rest-flask-jwt-authentication

85ff7e8ed9f5472d3dad097c057b10ac88607d89

[ "MIT" ]

null

app/views/users.py

MatheusMullerGit/api-rest-flask-jwt-authentication

85ff7e8ed9f5472d3dad097c057b10ac88607d89

[ "MIT" ]

1

2021-02-10T23:42:05.000Z

from werkzeug.security import generate_password_hash from app import db from flask import request, jsonify from ..models.users import Users, user_schema, users_schema def get_users(): name = request.args.get('name') if name: users = Users.query.filter(Users.name.like(f'%{name}%')).all() else: users = Users.query.all() if users: result = users_schema.dump(users) return jsonify({'message': 'successfully fetched', 'data': result}) return jsonify({'message': 'nothing found', 'data': {}}) def get_user(id): user = Users.query.get(id) if user: result = user_schema.dump(user) return jsonify({'message': 'successfully fetched', 'data': result}), 201 return jsonify({'message': "user don't exist", 'data': {}}), 404 def post_user(): username = request.json['username'] password = request.json['password'] name = request.json['name'] email = request.json['email'] pass_hash = generate_password_hash(password) user = Users(username, pass_hash, name, email) try: db.session.add(user) db.session.commit() result = user_schema.dump(user) return jsonify({'message': 'successfully registered', 'data': result}), 201 except: return jsonify({'message': 'unable to create', 'data': {}}), 500 def update_user(id): username = request.json['username'] password = request.json['password'] name = request.json['name'] email = request.json['email'] user = Users.query.get(id) if not user: return jsonify({'message': "user don't exist", 'data': {}}), 404 pass_hash = generate_password_hash(password) if user: try: user.username = username user.password = pass_hash user.name = name user.email = email db.session.commit() result = user_schema.dump(user) return jsonify({'message': 'successfully updated', 'data': result}), 201 except: return jsonify({'message': 'unable to update', 'data':{}}), 500 def delete_user(id): user = Users.query.get(id) if not user: return jsonify({'message': "user don't exist", 'data': {}}), 404 if user: try: db.session.delete(user) db.session.commit() result = user_schema.dump(user) return jsonify({'message': 'successfully deleted', 'data': result}), 200 except: return jsonify({'message': 'unable to delete', 'data': {}}), 500 def user_by_username(username): try: return Users.query.filter(Users.username == username).one() except: return None

30.388889

84

0.597806

319

2,735

5.050157

0.206897

0.096834

0.148976

0.089385

0.583489

0.517691

0.476723

0.456238

0.338299

0

0.014837

0.260695

2,735

90

85

30.388889

0.781899

0

0.507042

1

0

0.148392

0

1

0.084507

false

0.098592

0.056338

0

0.338028

0

null

0

1

0

null

0

1

0

2

8ecdf82b88826a1e74a5fae777d74d80fe90cd3b

225

py

Python

CFG.py

abduallahmohamed/Social-Implicit

229dc11aa767d12de935cb974b20698f4902b733

[ "MIT" ]

3

2022-03-07T00:37:37.000Z

2022-03-22T18:28:24.000Z

CFG.py

abduallahmohamed/Social-Implicit

229dc11aa767d12de935cb974b20698f4902b733

[ "MIT" ]

null

CFG.py

abduallahmohamed/Social-Implicit

229dc11aa767d12de935cb974b20698f4902b733

[ "MIT" ]

1

2022-03-15T08:48:28.000Z

CFG = { "spatial_input": 2, "spatial_output": 2, "temporal_input": 8, "temporal_output": 12, "bins": [0, 0.01, 0.1, 1.2], "noise_weight": [0.05, 1, 4, 8], "noise_weight_eth": [0.175, 1.5, 4, 8], }

22.5

43

0.524444

37

225

3

0.513514

0.198198

0

0.158824

0.244444

225

9

44

25

0.494118

0

0.391111

0

1

0

false

0

null

0

1

0

1

0

null

0

2

8ed1a72472fa3b7c129f65a19d48f668254a66a4

3,530

py

Python

discourse_form/models.py

cinai/teacher_discourse_form

7d6863dbf8d628011c6b0653ae7ca4e218c2d3bc

[ "MIT" ]

null

discourse_form/models.py

cinai/teacher_discourse_form

7d6863dbf8d628011c6b0653ae7ca4e218c2d3bc

[ "MIT" ]

null

discourse_form/models.py

cinai/teacher_discourse_form

7d6863dbf8d628011c6b0653ae7ca4e218c2d3bc

[ "MIT" ]

null

from django.db import models from sessions_coding.models import Classroom_session,Subject,Axis,Skill,Learning_goal,Copus_code DIALOGIC_CHOICES = ( ('Autoritativo', 'Autoritativo'), ('Dialogico', 'Dialógico'), ('NA', 'NA'), ) class Discourse_form(models.Model): session = models.ForeignKey(Classroom_session, on_delete=models.CASCADE,default=1) init_line = models.IntegerField(default=0) end_line = models.IntegerField(default=0) artificial_name = models.CharField(max_length=100) text = models.TextField() def __str__(self): return str(self.pk)+'-'+self.artificial_name class Form_answer(models.Model): form = models.ForeignKey(Discourse_form, on_delete=models.CASCADE) ans_date = models.DateTimeField('date answered',auto_now_add=True, blank=True) user = models.EmailField() dialogic = models.CharField(blank=True,default='NA',max_length=40) done = models.BooleanField(blank=True,default=False) def __str__(self): label_id = str(self.form.pk)+'-'+self.form.artificial_name return label_id+'-'+str(self.ans_date) class Answered_subject(models.Model): subject = models.ForeignKey(Subject,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) def __str__(self): return str(self.subject) class Answered_axis(models.Model): axis = models.ForeignKey(Axis,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) def __str__(self): return str(self.axis) class Answered_skill(models.Model): skill = models.ForeignKey(Skill,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) def __str__(self): return str(self.skill) class Answered_learning_goal(models.Model): goal = models.ForeignKey(Learning_goal,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) def __str__(self): return str(self.goal) class Answered_copus_code(models.Model): copus_code = models.ForeignKey(Copus_code,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) def __str__(self): return str(self.copus_code) class Answered_axis_phrases(models.Model): axis = models.ForeignKey(Answered_axis,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) phrases = models.TextField() def __str__(self): return str(self.axis) class Answered_skill_phrases(models.Model): skill = models.ForeignKey(Answered_skill,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) code = models.IntegerField(default=0,blank=True) phrases = models.TextField() def __str__(self): return str(self.skill) class Answered_dialogic_phrases(models.Model): dialogic = models.CharField(max_length=20,choices=DIALOGIC_CHOICES) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) code = models.IntegerField(default=0,blank=True) phrases = models.TextField() def __str__(self): return str(self.dialogic) class Answered_copus_phrases(models.Model): copus = models.ForeignKey(Answered_copus_code,on_delete=models.CASCADE) ans_form = models.ForeignKey(Form_answer, on_delete=models.CASCADE) code = models.IntegerField(default=0,blank=True) phrases = models.TextField() def __str__(self): return str(self.copus)

39.662921

96

0.743343

459

3,530

5.437909

0.152505

0.064503

0.106571

0.159856

0.576923

0.492788

0.488782

0.473558

0.450321

0

0.004303

0.144193

3,530

88

97

40.113636

0.821913

0

0.407895

0

0.01813

0

1

0.144737

false

0

0.026316

0.131579

0.921053

0

null

0

null

0

1

0

2

8ed811c6a2d536bedc2c7110b1dd87ef9dfa3f9e

208

py

Python

PhysicsTools/RecoAlgos/python/allSuperClusterCandidates_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

PhysicsTools/RecoAlgos/python/allSuperClusterCandidates_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

PhysicsTools/RecoAlgos/python/allSuperClusterCandidates_cfi.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms allSuperClusterCandidates = cms.EDProducer("ConcreteEcalCandidateProducer", src = cms.InputTag("hybridSuperClusters"), particleType = cms.string('gamma') )

23.111111

75

0.774038

18

208

8.944444

0.833333

0

0.120192

208

8

76

26

0.879781

0

0.257282

0.140777

0

1

0

false

0

0.2

0

0.2

0

1

0

null

0

1

0

null

0

2

8ee3abb37467d65da279bf5a736b8973df927cbd

1,550

py

Python

snmp/datadog_checks/snmp/models.py

01100010011001010110010101110000/integrations-core

b6216f96c9faa67e9e1e236caa8ddac597f0ef13

[ "BSD-3-Clause" ]

null

snmp/datadog_checks/snmp/models.py

01100010011001010110010101110000/integrations-core

b6216f96c9faa67e9e1e236caa8ddac597f0ef13

[ "BSD-3-Clause" ]

null

snmp/datadog_checks/snmp/models.py

01100010011001010110010101110000/integrations-core

b6216f96c9faa67e9e1e236caa8ddac597f0ef13

[ "BSD-3-Clause" ]

null

# (C) Datadog, Inc. 2020-present # All rights reserved # Licensed under Simplified BSD License (see LICENSE) """ Define our own models and interfaces for dealing with SNMP data. """ from typing import Any, Sequence, Tuple, Union from .exceptions import CouldNotDecodeOID from .pysnmp_types import ObjectIdentity, ObjectName, ObjectType from .utils import format_as_oid_string, parse_as_oid_tuple class OID(object): """ An SNMP object identifier. Acts as a facade for various types used by PySNMP to represent OIDs. """ def __init__(self, value): # type: (Union[Sequence[int], str, ObjectName, ObjectIdentity, ObjectType]) -> None try: parts = parse_as_oid_tuple(value) except CouldNotDecodeOID: raise # Explicitly re-raise this exception. # Let's make extra sure we didn't mess up. if not isinstance(parts, tuple): raise RuntimeError( 'Expected result {!r} of parsing value {!r} to be a tuple, but got {}'.format(parts, value, type(parts)) ) # pragma: no cover self._parts = parts def as_tuple(self): # type: () -> Tuple[int, ...] return self._parts def __eq__(self, other): # type: (Any) -> bool return isinstance(other, OID) and self.as_tuple() == other.as_tuple() def __str__(self): # type: () -> str return format_as_oid_string(self.as_tuple()) def __repr__(self): # type: () -> str return 'OID({!r})'.format(str(self))

29.807692

120

0.630968

196

1,550

4.811224

0.530612

0.021209

0.02333

0.036055

0

0.003493

0.26129

1,550

51

121

30.392157

0.820087

0.336129

0

0.077621

0

1

0.217391

false

0

0.173913

0.608696

0

null

0

null

0

1

0

1

0

2

d9089775d35deb81b413937db4c14cb666c7998d

1,044

py

Python

server/inquest/users/views.py

lucasOlivio/inquest

da7c3030f175f31861cf3db385c611c0c05b9406

[ "MIT" ]

null

server/inquest/users/views.py

lucasOlivio/inquest

da7c3030f175f31861cf3db385c611c0c05b9406

[ "MIT" ]

null

server/inquest/users/views.py

lucasOlivio/inquest

da7c3030f175f31861cf3db385c611c0c05b9406

[ "MIT" ]

null

from django.conf import settings from django.utils.decorators import method_decorator from django.views.decorators.cache import cache_page from rest_framework import mixins, viewsets from rest_framework.permissions import AllowAny from inquest.users.models import User from inquest.users.permissions import IsUserOrReadOnly from inquest.users.serializers import CreateUserSerializer, UserSerializer class UserViewSet( mixins.RetrieveModelMixin, mixins.UpdateModelMixin, viewsets.GenericViewSet ): """ Updates and retrieves user accounts. """ queryset = User.objects.all() serializer_class = UserSerializer permission_classes = (IsUserOrReadOnly,) @method_decorator(cache_page(settings.CACHE_TTL)) def dispatch(self, *args, **kwargs): return super().dispatch(*args, **kwargs) class UserCreateViewSet(mixins.CreateModelMixin, viewsets.GenericViewSet): """ Creates user accounts. """ queryset = User.objects.all() serializer_class = CreateUserSerializer permission_classes = (AllowAny,)

32.625

79

0.782567

110

1,044

7.327273

0.472727

0.037221

0.059553

0.121588

0

0.135057

1,044

31

80

33.677419

0.89258

0.057471

0

0.095238

0

1

0.047619

false

0

0.380952

0.047619

0.857143

0

null

0

null

0

1

0

1

0

2

d930da9efaf30980ba593d3e41b76ab41bf0c7bc

600

py

Python

sketch/models/GKRect.py

shrredd/sketch

eebcd5077ae355f914bc77ac44d06410f9caa132

[ "MIT", "Unlicense" ]

2

2018-10-22T12:43:51.000Z

2018-12-02T02:41:55.000Z

sketch/models/GKRect.py

shrredd/sketch

eebcd5077ae355f914bc77ac44d06410f9caa132

[ "MIT", "Unlicense" ]

null

sketch/models/GKRect.py

shrredd/sketch

eebcd5077ae355f914bc77ac44d06410f9caa132

[ "MIT", "Unlicense" ]

null

class GKRect(object): """ GKRect is a lightweight rectangle object that is used in many places in Sketch. It has many of the same methods as MSRect but they cannot always be used interchangeably """ def __init__(self, x, y, width, height): self._x = x self._y = y self._width = width self._height = height @property def x(self): return self._x @property def y(self): return self._y @property def width(self): return self._width @property def height(self): return self._height

21.428571

83

0.598333

80

600

4.3375

0.45

0.126801

0.161383

0

0.326667

600

27

84

22.222222

0.858911

0.28

0

0.222222

0

1

0.277778

false

0

0.222222

0.555556

0

null

0

null

0

1

0

1

0

2

d939e2da8bc9779856cf5b9b6ca1c116a4880d8f

214

py

Python

tests/context.py

gazzar/scientific-project-structure

59020f2d391f3b816f80cb7d11cb2397a141d271

[ "BSD-3-Clause" ]

1

2016-11-14T02:30:24.000Z

tests/context.py

gazzar/tmm_model

b50a8cb2d58e70333015c0ecf5759d887f785047

[ "BSD-3-Clause" ]

3

2016-06-10T02:04:40.000Z

2016-06-10T02:05:47.000Z

tests/context.py

gazzar/scientific-project-structure

59020f2d391f3b816f80cb7d11cb2397a141d271

[ "BSD-3-Clause" ]

null

import os import sys PATH_HERE = os.path.abspath(os.path.dirname(__file__)) sys.path = [ os.path.join(PATH_HERE, '..'), os.path.join(PATH_HERE, '..', '..'), # include path to version.py ] + sys.path

26.75

72

0.626168

32

214

3.96875

0.40625

0.188976

0.15748

0.220472

0.283465

0

0.17757

214

7

73

30.571429

0.721591

0.121495

0

0.032258

0

1

0

false

0

0.285714

0

0.285714

0

null

0

1

0

1

0

null

0

2

d939e93b7ad1bb2b8301e5e1485a6e64b91cf39c

2,528

py

Python

src/opencmiss/utils/iron/bindings/python/opencmiss/iron/_utils.in.py

tsalemink/opencmiss.utils

c727d9b922330e3ca38967fa7dbe6480f698f9a2

[ "Apache-2.0" ]

null

src/opencmiss/utils/iron/bindings/python/opencmiss/iron/_utils.in.py

tsalemink/opencmiss.utils

c727d9b922330e3ca38967fa7dbe6480f698f9a2

[ "Apache-2.0" ]

null

src/opencmiss/utils/iron/bindings/python/opencmiss/iron/_utils.in.py

tsalemink/opencmiss.utils

c727d9b922330e3ca38967fa7dbe6480f698f9a2

[ "Apache-2.0" ]

null

"""Utility routines and classes used by OpenCMISS """ from . import _@IRON_PYTHON_MODULE@ class CMFEError(Exception): """Base class for errors in the OpenCMISS library""" pass class CMFEType(object): """Base class for all OpenCMISS types""" pass class Enum(object): pass def wrap_cmiss_routine(routine, args=None): """Wrap a call to the OpenCMISS SWIG module Call the routine and check the return value, and raise an exception if it is non-zero. Return any other remaining return values. """ if args is None: r = routine() else: #Replace wrapped cmiss types with the underlying type new_args = [] for arg in args: if hasattr(arg, 'cmiss_type'): new_args.append(arg.cmiss_type) else: try: # Try to convert a list of CMISS types first. # Check length to avoid empty strings being converted # to an empty list if len(arg) > 0: new_args.append([a.cmiss_type for a in arg]) else: new_args.append(arg) except (TypeError, AttributeError): new_args.append(arg) r = routine(*new_args) # We will either have a list of multiple return values, or # a single status code as a return. Don't have to worry about # ever having a single return value as a list as there will always # be at least a return status. if isinstance(r, list): status = r[0] if len(r) == 1: return_val = None elif len(r) == 2: return_val = r[1] else: return_val = r[1:] else: status = r return_val = None if status != _@IRON_PYTHON_MODULE@.cvar.CMFE_NO_ERROR: if status == _@IRON_PYTHON_MODULE@.cvar.CMFE_POINTER_IS_NULL: raise CMFEError("CMFE type pointer is null") elif status == _@IRON_PYTHON_MODULE@.cvar.CMFE_POINTER_NOT_NULL: raise CMFEError("CMFE type pointer is not null") elif status == _@IRON_PYTHON_MODULE@.cvar.CMFE_COULD_NOT_ALLOCATE_POINTER: raise CMFEError("Could not allocate pointer") elif status == _@IRON_PYTHON_MODULE@.cvar.CMFE_ERROR_CONVERTING_POINTER: raise CMFEError("Error converting pointer") else: raise CMFEError(_@IRON_PYTHON_MODULE@.cmfe_ExtractErrorMessage()[1]) return return_val

32

82

0.598101

325

2,528

4.489231

0.353846

0.047978

0.076765

0.075394

0.197395

0.176833

0.05209

0

0.004103

0.325158

2,528

78

83

32.410256

0.851114

0.148734

0

0.276596

0

0.063193

0

null

0.06383

0.021277

null

0

null

0

null

0

1

0

1

0

2

d93bfba4772e6da4fcb48210e144b771e7a65dca

269

py

Python

app/vendor/serializers.py

ToddPeterson/food-truck-api

20de03771abcfb6a689f02519c11b630bad87fbf

[ "MIT" ]

null

app/vendor/serializers.py

ToddPeterson/food-truck-api

20de03771abcfb6a689f02519c11b630bad87fbf

[ "MIT" ]

null

app/vendor/serializers.py

ToddPeterson/food-truck-api

20de03771abcfb6a689f02519c11b630bad87fbf

[ "MIT" ]

null

from rest_framework import serializers from .models import Vendor class VendorSerializer(serializers.ModelSerializer): """Serializer for Vendor objects""" class Meta: model = Vendor fields = ('id', 'name') read_only_fields = ('id',)

20.692308

52

0.669145

28

269

6.321429

0.714286

0.090395

0

0.230483

269

12

53

22.416667

0.855072

0.107807

0

0.034188

0

1

0

false

0

0.285714

0

0.571429

0

1

0

null

0

null

0

1

0

2

d94e47f662699d2cc3d5d385b3261452d0f31c95

329

py

Python

db.py

joeyw526/Personal

52849526810f9b11947aeabafe56ecabbc68f04f

[ "MIT" ]

null

db.py

joeyw526/Personal

52849526810f9b11947aeabafe56ecabbc68f04f

[ "MIT" ]

null

db.py

joeyw526/Personal

52849526810f9b11947aeabafe56ecabbc68f04f

[ "MIT" ]

null

from sqlalchemy.ext.declarative import declarative_base from sqlalchemy.orm import relation, sessionmaker from sqlalchemy import create_engine Base = declarative_base() #replace with config setting for database import config database_engine = create_engine(config.database_config) Session = sessionmaker(bind=database_engine)

27.416667

55

0.851064

41

329

6.658537

0.463415

0.153846

0

0.100304

329

11

56

29.909091

0.922297

0.121581

0

1

0

false

0

0.571429

0

0.571429

0

null

0

null

0

1

0

1

0

2

d95923901f575ed8c69caacfc964b37df86b4a68

201

py

Python

ephim/cli.py

kirov/ephim

6467bed88e7e8135af42b2fbb5368ccdb3eba969

[ "MIT" ]

null

ephim/cli.py

kirov/ephim

6467bed88e7e8135af42b2fbb5368ccdb3eba969

[ "MIT" ]

null

ephim/cli.py

kirov/ephim

6467bed88e7e8135af42b2fbb5368ccdb3eba969

[ "MIT" ]

null

import os from .library import Library def main(): location = Library.find_library(os.getcwd()) library = Library(location) library.organize_all() if __name__ == '__main__': main()

15.461538

48

0.681592

24

201

5.291667

0.541667

0.23622

0

0.199005

201

12

49

16.75

0.78882

0

0.039801

0

1

0.125

false

0

0.25

0

0.375

0

1

0

null

1

0

null

0

2

d95f30f596b67f748d883389b49d496b68057337

795

py

Python

BI-IOS/semester-project/webapp/beecon/polls/models.py

josefdolezal/fit-cvut

6b6abea4232b946246d33290718d6c5007926b63

[ "MIT" ]

20

2016-05-15T10:39:53.000Z

2022-03-29T00:06:06.000Z

BI-IOS/semester-project/webapp/beecon/polls/models.py

josefdolezal/fit-cvut

6b6abea4232b946246d33290718d6c5007926b63

[ "MIT" ]

3

2017-05-27T16:44:01.000Z

2019-01-02T21:02:59.000Z

BI-IOS/semester-project/webapp/beecon/polls/models.py

josefdolezal/fit-cvut

6b6abea4232b946246d33290718d6c5007926b63

[ "MIT" ]

11

2018-08-22T21:16:32.000Z

2021-04-10T22:42:34.000Z

import datetime from django.db import models from django.utils import timezone class Question( models.Model): question_text = models.CharField( max_length=200 ) pub_date = models.DateTimeField( 'date published' ) def __str__( self ): return self.question_text def was_published_recently( self ): return self.pub_date >= timezone.now() - datetime.timedelta( days=1 ) was_published_recently.admin_order_field = 'pub_date' was_published_recently.boolean = True was_published_recently.short_description = 'Published recently?' class Choice(models.Model): question = models.ForeignKey( Question, on_delete=models.CASCADE ) choice_text = models.CharField( max_length=200 ) votes = models.IntegerField( default=0 ) def __str__( self ): return self.choice_text

28.392857

73

0.762264

102

795

5.656863

0.45098

0.147314

0.138648

0.076257

0.176776

0.107452

0

0.011817

0.148428

795

27

74

29.444444

0.840473

0

0.105263

0

0.051572

0

1

0.157895

false

0

0.157895

0.842105

0

null

0

null

0

1

0

2

d97154d8516e9fbd0041d7ff10fa9ef2abd45bcc

1,551

py

Python

CallApi/serializers.py

michaelgabriel01/Phone_API

13c8a28c5def652dc54ac3b6f7e943201894b6b0

[ "MIT" ]

null

CallApi/serializers.py

michaelgabriel01/Phone_API

13c8a28c5def652dc54ac3b6f7e943201894b6b0

[ "MIT" ]

null

CallApi/serializers.py

michaelgabriel01/Phone_API

13c8a28c5def652dc54ac3b6f7e943201894b6b0

[ "MIT" ]

null

from django.db import models # from django import forms from django.contrib.auth.models import User, Group from rest_framework import serializers from .models import Call, Album class UserSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = User fields = ('url', 'username', 'password', 'first_name', 'last_name', 'email', 'groups') class GroupSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Group fields = ('url', 'name') class EmployeeSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = User fields = ('url', 'username', 'first_name', 'last_name', 'email', 'groups') class CallSerializer(serializers.ModelSerializer): class Meta: model = User class BillSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Group fields = ('url', 'name') class PriceSerializer(serializers.HyperlinkedModelSerializer): class Meta: model = Group fields = ('url', 'name') class AlbumSerializer(serializers.ModelSerializer): tracks = serializers.StringRelatedField(many=True) class Meta: model = Album fields = ('album_name', 'artist', 'tracks') # fields = ('url', 'username') class PhoneSerializer(serializers.ModelSerializer): class Meta: model = Call fields = ('url', 'record_type', 'call_identifier', 'origin_phone_number', 'destination_phone_number', 'record_timestamp', 'duration')

27.210526

94

0.676338

147

1,551

7.047619

0.346939

0.069498

0.108108

0.222008

0.494208

0.416988

0.353282

0.214286

0

0.213411

1,551

57

95

27.210526

0.84918

0.034172

0

0.459459

0

0.153075

0.016043

0

1

0

false

0.027027

0.108108

0

0.567568

0

null

0

1

0

null

0

1

0

2

d973a425a59c3ab83b8943e2045a9899336edafd

4,047

py

Python

quflow/utils.py

kmodin/quflow

c12bf42929c349e059d85a8d0ff5830b838e8c91

[ "MIT" ]

null

quflow/utils.py

kmodin/quflow

c12bf42929c349e059d85a8d0ff5830b838e8c91

[ "MIT" ]

null

quflow/utils.py

kmodin/quflow

c12bf42929c349e059d85a8d0ff5830b838e8c91

[ "MIT" ]

null

import numpy as np import pyssht from numba import njit from .laplacian.sparse import solve_heat @njit def ind2elm(ind): """ Convert single index in omega vector to (el, m) indices. Parameters ---------- ind: int Returns ------- (el, m): tuple of indices """ el = int(np.floor(np.sqrt(ind))) m = ind - el * (el + 1) return el, m @njit def elm2ind(el, m): """ Convert (el,m) spherical harmonics indices to single index in `omegacomplex` array. Parameters ---------- el: int or ndarray of ints m: int or ndarray of ints Returns ------- ind: int """ return el*el + el + m def cart2sph(x, y, z): """ Projection of Cartesian coordinates to spherical coordinates (theta, phi). Parameters ---------- x: ndarray y: ndarray z: ndarray Returns ------- (theta, phi): tuple of ndarray """ phi = np.arctan2(y, x) theta = np.arctan2(np.sqrt(x * x + y * y), z) phi[phi < 0] += 2 * np.pi return theta, phi def sph2cart(theta, phi): """ Spherical coordinates to Cartesian coordinates (assuming radius 1). Parameters ---------- theta: ndarray phi: ndarry Returns ------- (x, y, z): tuple of ndarray """ x = np.sin(theta) * np.cos(phi) y = np.sin(theta) * np.sin(phi) z = np.cos(theta) return x, y, z def sphgrid(N): """ Return a mesh grid for spherical coordinates. Parameters ---------- N: int Bandwidth. In the spherical harmonics expansion we have that the wave-number l fulfills 0 <= l <= N-1. Returns ------- (theta, phi): tuple of ndarray Matrices of shape (N, 2*N-1) such that row-indices corresponds to theta variations and column-indices corresponds to phi variations. (Notice that phi is periodic but theta is not.) """ theta, phi = pyssht.sample_positions(N, Grid=True) return theta, phi def so3generators(N): """ Return a basis S1, S2, S3 for the representationn of so(3) in u(N). Parameters ---------- N: int Returns ------- S1, S2, S3: tuple of ndarray """ s = (N-1)/2 S3 = 1j*np.diag(np.arange(-s, s+1)) S1 = 1j*np.diag(np.sqrt(s*(s+1)-np.arange(-s, s)*np.arange(-s+1, s+1)), 1)/2 + \ 1j*np.diag(np.sqrt(s*(s+1)-np.arange(-s, s)*np.arange(-s+1, s+1)), -1)/2 S2 = np.diag(np.sqrt(s*(s+1)-np.arange(-s, s)*np.arange(-s+1, s+1)), 1)/2 - \ np.diag(np.sqrt(s*(s+1)-np.arange(-s, s)*np.arange(-s+1, s+1)), -1)/2 return S1, S2, S3 def rotate(xi, W): """ Apply axis-angle (Rodrigues) rotation to vorticity matrix. Parameters ---------- xi: ndarray(shape=(3,), dtype=float) W: ndarray(shape=(N,N), dtype=complex) Returns ------- W_rotated: ndarray(shape=(N,N), dtype=complex) """ from scipy.linalg import expm N = W.shape[0] S1, S2, S3 = so3generators(N) R = expm(xi[0]*S1 + xi[1]*S2 + xi[2]*S3) return R@W@R.T.conj() def north_blob(N, sigma=0): """ Return vorticity matrix for blob located at north pole. Parameters ---------- N: int sigma: float (optional) Gaussian sigma for blob. If 0 (default) then give best approximation to point vortex Returns ------- W: ndarray(shape=(N, N), dtype=complex) """ W = np.zeros((N, N), dtype=complex) W[-1, -1] = 1.0j if sigma != 0: W = solve_heat(sigma/4., W) return W def qtime2seconds(qtime, N): """ Convert quantum time units to seconds. Parameters ---------- qtime: float or ndarray N: int Returns ------- Time in seconds. """ return qtime*np.sqrt(16.*np.pi)/N**(3./2.) def seconds2qtime(t, N): """ Convert seconds to quantum time unit. Parameters ---------- t: float or ndarray N: int Returns ------- Time in quantum time units. """ return t/np.sqrt(16.*np.pi)*N**(3./2.)

20.034653

84

0.54806

589

4,047

3.757216

0.26146

0.011749

0.036602

0.022594

0.199729

0.176231

0.138274

0.113873

0.0723

0

0.028846

0.280455

4,047

201

85

20.134328

0.731113

0.487522

0

0.081633

0

1

0.204082

false

0

0.102041

0

0.510204

0

null

0

null

0

1

0

1

0

2

d984ab97c158ba754132a5054a70a7ee9bd1dfd6

1,044

py

Python

django/Pieng/myclass/myquiz/migrations/0001_initial.py

wasit7/tutorials

83499821266c8debac05cb5d6d5f6da0f0abd68f

[ "MIT" ]

4

2016-02-23T15:39:45.000Z

2018-03-25T20:15:07.000Z

django/Pieng/myclass/myquiz/migrations/0001_initial.py

wasit7/tutorials

83499821266c8debac05cb5d6d5f6da0f0abd68f

[ "MIT" ]

null

django/Pieng/myclass/myquiz/migrations/0001_initial.py

wasit7/tutorials

83499821266c8debac05cb5d6d5f6da0f0abd68f

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.9.5 on 2016-09-02 04:17 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ] operations = [ migrations.CreateModel( name='Questions', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('last_updated', models.DateTimeField(auto_now=True)), ('question', models.TextField(max_length=100)), ('a', models.CharField(max_length=30)), ('b', models.CharField(max_length=30)), ('c', models.CharField(max_length=30)), ('d', models.CharField(max_length=30)), ('anwser', models.CharField(choices=[('a', 'a.'), ('b', 'b.'), ('c', 'c.'), ('d', 'd.')], max_length=1)), ], ), ]

33.677419

121

0.551724

112

1,044

4.982143

0.535714

0.096774

0.129032

0.172043

0.18638

0

0.037185

0.278736

1,044

30

122

34.8

0.703851

0.064176

0

1

0

0.063655

0

1

0

false

0

0.090909

0

0.272727

0

null

0

1

0

1

0

null

0

2

d994167805a77600928084b097565dcf01f4d86b

856

py

Python

engram/tests/test_sys_redirect.py

rgrannell1/engram.py

69ca1af7b0ddb963a611e15414aa2eda48d6c325

[ "MIT", "Unlicense" ]

null

engram/tests/test_sys_redirect.py

rgrannell1/engram.py

69ca1af7b0ddb963a611e15414aa2eda48d6c325

[ "MIT", "Unlicense" ]

36

2015-01-24T23:12:10.000Z

2015-07-12T19:01:44.000Z

engram/tests/test_sys_redirect.py

rgrannell1/engram.py

69ca1af7b0ddb963a611e15414aa2eda48d6c325

[ "MIT", "Unlicense" ]

null

#!/usr/bin/env python3 import unittest import os import sys import requests import utils_test from multiprocessing import Process import time sys.path.append(os.path.abspath('engram')) import engram class TestRedirect(utils_test.EngramTestCase): def test_index(self): """ Story: Bookmark pages loads. In order to access the bookmarks I want to be able to use the endpoint /bookmarks Scenario: requesting /bookmarks gets a response. Given a running engram server on localhost:5000 When someone sends /bookmarks Then the server sends back a html page And the response has status 200. """ index_response = requests.get('http://localhost:5000/', timeout = 10) assert index_response.status_code == 200 assert index_response.headers['content-type'] == "text/html; charset=utf-8" unittest.main()

16.784314

77

0.73014

119

856

5.193277

0.647059

0.063107

0.061489

0

0.025899

0.188084

856

50

78

17.12

0.863309

0.426402

0

0.129817

0

0.133333

1

0.066667

false

0

0.533333

0

0.666667

0

null

0

null

0

1

0

1

0

2

79428c007cb5f673c35aad775e047d5ad9cc87ed

2,139

py

Python

quickstartup/qs_accounts/admin.py

shahabaz/quickstartup

e351138580d3b332aa309d5d98d562a1ebef5c2c

[ "MIT" ]

13

2015-06-10T03:29:15.000Z

2021-10-01T22:06:48.000Z

quickstartup/qs_accounts/admin.py

shahabaz/quickstartup

e351138580d3b332aa309d5d98d562a1ebef5c2c

[ "MIT" ]

47

2015-06-10T03:26:18.000Z

2021-09-22T17:35:24.000Z

quickstartup/qs_accounts/admin.py

shahabaz/quickstartup

e351138580d3b332aa309d5d98d562a1ebef5c2c

[ "MIT" ]

3

2015-07-07T23:55:39.000Z

2020-04-18T10:34:53.000Z

from django import forms from django.contrib import admin from django.contrib.auth import get_user_model from django.contrib.auth.forms import ReadOnlyPasswordHashField from django.utils.translation import gettext_lazy as _ from .models import User class UserAdminCreationForm(forms.ModelForm): password1 = forms.CharField(label=_('Password'), widget=forms.PasswordInput) password2 = forms.CharField(label=_('Password (verify)'), widget=forms.PasswordInput) class Meta: model = get_user_model() fields = ('name', 'email', 'password1', 'password2', 'is_staff', 'is_superuser') def clean_password2(self): password1 = self.cleaned_data.get("password1") password2 = self.cleaned_data.get("password2") if password1 and password2 and password1 != password2: raise forms.ValidationError("Passwords don't match") return password2 def save(self, commit=True): user = super().save(commit=False) user.set_password(self.cleaned_data["password1"]) return user class UserAdminChangeForm(forms.ModelForm): password = ReadOnlyPasswordHashField() class Meta: model = User fields = ("name", "email", "password", "is_staff", "is_superuser") def clean_password(self): return self.initial["password"] class UserAdmin(admin.ModelAdmin): form = UserAdminChangeForm add_form = UserAdminCreationForm list_display = ("name", "email", "is_staff", "last_login") list_filter = ("is_staff", "is_active") fieldsets = ( (None, {"fields": ("name", "email", "password")}), ("Permissions", {"fields": ("is_active", "is_staff")}), ("Important dates", {"fields": ("last_login", "date_joined")}), ) add_fieldsets = ( (None, { "classes": ("wide",), "fields": ("name", "email", "password1", "password2", "is_staff"), },), ) search_fields = ("name", "email") ordering = ("name", "email") # Enable admin interface if User is the quickstart user model if get_user_model() is User: admin.site.register(User, UserAdmin)

31.925373

89

0.656381

231

2,139

5.930736

0.363636

0.045985

0.054745

0.030657

0.091241

0.058394

0

0.010018

0.206639

2,139

66

90

32.409091

0.797289

0.027583

0

0.040816

0

0.181906

0

1

0.061224

false

0.346939

0.142857

0.020408

0.591837

0

null

0

null

0

1

0

1

0

2

794d994e6a654793b9be5dad209aa40c437a4b42

1,555

py

Python

wk8_hw/ex5_netmiko_sh_ver.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

1

2016-03-01T14:39:17.000Z

wk8_hw/ex5_netmiko_sh_ver.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

null

wk8_hw/ex5_netmiko_sh_ver.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ 5. Use Netmiko to connect to each of the devices in the database. Execute 'show version' on each device. Calculate the amount of time required to do this. """ from netmiko import ConnectHandler from datetime import datetime from net_system.models import NetworkDevice, Credentials import django import ex1_link_obj_2_credentials def main(): django.setup() # Load device info and credentials into database ex1_link_obj_2_credentials.link_device_to_credentials() devices = NetworkDevice.objects.all() for a_device in devices: if a_device.device_name and a_device.credentials: start_time = datetime.now() creds = a_device.credentials username = creds.username password = creds.password remote_conn = ConnectHandler(device_type=a_device.device_type, ip=a_device.ip_address, username=username, password=password, port=a_device.port, secret='') # Print out 'show version' output print print '#' * 80 print ("'show version' output for device: %s" % a_device.device_name) print '#' * 80 print remote_conn.send_command("show version") # Print out elapsed time print '#' * 80 print ("Elapsed time: " + str(datetime.now() - start_time)) print '#' * 80 if __name__ == "__main__": main()

31.1

88

0.601286

178

1,555

5.039326

0.41573

0.06243

0.043478

0.024526

0.049052

0

0.012311

0.3209

1,555

49

89

31.734694

0.837121

0.078457

0

0.129032

0

0.058452

0

null

0.064516

0.16129

null

0.258065

0

null

0

null

0

1

0

1

0

2

795a4c1bfcd51d93ac77149dbb23b12fc1c26f21

2,784

py

Python

data/ansible-module-template.py

trskop/hsansible

00b2c5894edcdd6a4af710e28497b3b327fdd87c

[ "BSD-3-Clause" ]

12

2015-01-06T23:59:53.000Z

2021-01-02T13:58:26.000Z

data/ansible-module-template.py

trskop/hsansible

00b2c5894edcdd6a4af710e28497b3b327fdd87c

[ "BSD-3-Clause" ]

1

2021-10-06T12:44:10.000Z

2022-01-12T11:21:42.000Z

data/ansible-module-template.py

trskop/hsansible

00b2c5894edcdd6a4af710e28497b3b327fdd87c

[ "BSD-3-Clause" ]

2

2020-04-25T17:25:26.000Z

2021-11-07T21:13:49.000Z

#!/usr/bin/env python # This file was generated using $program$ $version$ from a template # with following copyringht notice. # # Copyright (c) 2013, Peter Trsko <peter.trsko@gmail.com> # # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # # * Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials provided # with the distribution. # # * Neither the name of Peter Trsko nor the names of other # contributors may be used to endorse or promote products derived # from this software without specific prior written permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. $if(documentation)$ DOCUMENTATION = ''' $documentation$''' $endif$ import atexit import base64 import os import stat import subprocess import sys import tempfile try: import json except ImportError: import simplejson as json def remove_temporary_file(fn): if fn is not None: os.remove(fn) def fail_json(msg): print json.dumps(dict(failed=True, msg=msg)) sys.exit(1) def main(): try: fd, fn = tempfile.mkstemp() atexit.register(remove_temporary_file, fn) except Exception as e: fail_json("Error creating temporary file: %s" % str(e)) try: os.fchmod(fd, stat.S_IEXEC) os.write(fd, base64.b64decode(encodedBinary)) os.fsync(fd) os.close(fd) except Exception as e: fail_json("Error recreating executable: %s" % str(e)) try: subprocess.call([fn] + sys.argv[1:]) except Exception as e: fail_json("Error while calling executable: %s" % str(e)) encodedBinary = ''' $encodedBinary$''' if __name__ == '__main__': main()

31.280899

77

0.716236

382

2,784

5.175393

0.489529

0.016186

0.025797

0.027314

0.140111

0.115832

0.068791

0

0.005427

0.205819

2,784

88

78

31.636364

0.888738

0.595546

0

0.166667

1

0

0.126489

0

null

0

0.238095

null

0.02381

0

null

0

1

0

null

0

1

0

2

797995b46e29cf3042b928047befb826374e0e03

1,694

py

Python

leer/core/storage/utxo_index_storage.py

TensorVirus/leer

9295c7e16364c8ff6da37a120a28e61a2c002ac6

[ "MIT" ]

null

leer/core/storage/utxo_index_storage.py

TensorVirus/leer

9295c7e16364c8ff6da37a120a28e61a2c002ac6

[ "MIT" ]

null

leer/core/storage/utxo_index_storage.py

TensorVirus/leer

9295c7e16364c8ff6da37a120a28e61a2c002ac6

[ "MIT" ]

null

import os, lmdb class UTXOIndex: ''' Basically it is index [public_key -> set of unspent outputs with this public key] ''' __shared_states = {} def __init__(self, storage_space, path): if not path in self.__shared_states: self.__shared_states[path]={} self.__dict__ = self.__shared_states[path] self.directory = path if not os.path.exists(path): os.makedirs(self.directory) #TODO catch self.env = lmdb.open(self.directory, max_dbs=10) with self.env.begin(write=True) as txn: self.main_db = self.env.open_db(b'main_db', txn=txn, dupsort=True, dupfixed=True) #TODO duplicate self.storage_space = storage_space self.storage_space.register_utxo_index(self) def _add(self, serialized_pubkey, utxo_hash_and_pc): with self.env.begin(write=True) as txn: txn.put( serialized_pubkey, utxo_hash_and_pc, db=self.main_db, dupdata=True) def add_utxo(self, output): self._add(output.address.pubkey.serialize(), output.serialized_index) def _remove(self, serialized_pubkey, utxo_hash_and_pc): with self.env.begin(write=True) as txn: txn.delete( serialized_pubkey, utxo_hash_and_pc, db=self.main_db) def remove_utxo(self, output): self._remove(output.address.pubkey.serialize(), output.serialized_index) def get_all_unspent(self, pubkey): return self.get_all_unspent_for_serialized_pubkey(pubkey.serialize()) def get_all_unspent_for_serialized_pubkey(self, serialized_pubkey): with self.env.begin(write=False) as txn: cursor = txn.cursor(db=self.main_db) if not cursor.set_key(serialized_pubkey): return [] else: return list(cursor.iternext_dup())

34.571429

103

0.72196

249

1,694

4.614458

0.301205

0.111401

0.038294

0.055701

0.418625

0.358573

0.302872

0.186249

0

0.001421

0.169421

1,694

48

104

35.291667

0.81521

0.063164

0

0.088235

0

0.004453

0

0.020833

0

1

0.205882

false

0

0.029412

0.382353

0

null

0

null

0

1

0

1

0

2

798d4895d401ce4adc3405ca10a7afd4738fcdc6

319

py

Python

SageMaker/from_athena.py

terratenney/aws-tools

d8ca07d56d812deb819b039752b94a0f1b9e6eb2

[ "MIT" ]

8

2020-12-27T18:44:17.000Z

2022-03-10T22:20:28.000Z

SageMaker/from_athena.py

terratenney/aws-tools

d8ca07d56d812deb819b039752b94a0f1b9e6eb2

[ "MIT" ]

28

2020-08-30T02:57:03.000Z

2021-05-12T09:13:15.000Z

SageMaker/from_athena.py

kyhau/arki

b5d6b160ef0780032f231362158dd9dd892f4e8e

[ "MIT" ]

8

2020-09-03T19:00:13.000Z

2022-03-31T05:31:35.000Z

#import sys #!{sys.executable} -m pip install pyathena from pyathena import connect import pandas as pd conn = connect(s3_staging_dir='s3://aws-athena-query-results-459817416023-us-east-1/', region_name='us-east-1') df = pd.read_sql('SELECT * FROM "ticketdata"."nfl_stadium_data" order by stadium limit 10;', conn) df

35.444444

111

0.758621

52

319

4.538462

0.730769

0.050847

0.059322

0

0.062937

0.103448

319

9

112

35.444444

0.762238

0.159875

0

0.501873

0.314607

0

1

0

false

0

0.4

0

0.4

0

null

0

1

0

null

0

1

0

2

798fa01b749eafbace3a784968765b5605f4e82b

331

py

Python

attendees/forms.py

TonyEight/lionax-wedding

b1abd230491723253726e2bcfe002c7be97db285

[ "MIT" ]

null

attendees/forms.py

TonyEight/lionax-wedding

b1abd230491723253726e2bcfe002c7be97db285

[ "MIT" ]

null

attendees/forms.py

TonyEight/lionax-wedding

b1abd230491723253726e2bcfe002c7be97db285

[ "MIT" ]

null

from django import forms from django.db.models.base import ModelBase from phonenumber_field.formfields import PhoneNumberField from . import models class InvitationReplyForm(forms.Form): mobile_phone = PhoneNumberField(required=True, widget=forms.widgets.TextInput( attrs={"placeholder": "Saisissez votre numéro"}))

30.090909

82

0.794562

38

331

6.868421

0.710526

0.076628

0

0.123867

331

10

83

33.1

0.9

0

0.099698

0

1

0

false

0

0.571429

0

0.857143

0

null

0

null

0

1

0

1

0

2

799d1f003f4411bfae3d21a7133897db1e94f10f

441

py

Python

src/pyprerender/BaseEventHandler.py

thingiesmm/pyprerender

b990e2916977fe7281b97d505e3c3e7b7777fa96

[ "MIT" ]

3

2020-07-28T17:19:09.000Z

2020-09-11T01:56:42.000Z

src/pyprerender/BaseEventHandler.py

thingiesmm/pyprerender

b990e2916977fe7281b97d505e3c3e7b7777fa96

[ "MIT" ]

null

src/pyprerender/BaseEventHandler.py

thingiesmm/pyprerender

b990e2916977fe7281b97d505e3c3e7b7777fa96

[ "MIT" ]

null

import threading class BaseEventHandler(object): screen_lock = threading.Lock() def __init__(self, browser, tab, directory='./'): self.browser = browser self.tab = tab self.start_frame = None self.directory = directory def frame_started_loading(self, frameId): if not self.start_frame: self.start_frame = frameId def frame_stopped_loading(self, frameId): pass

23.210526

53

0.646259

50

441

5.46

0.46

0.098901

0.153846

0

0.267574

441

18

54

24.5

0.845201

0

0.004535

0

1

0.230769

false

0.076923

0

0.461538

0

null

0

null

0

1

0

1

0

2

79b1521f2c96172275c767bb838446410cf9cd69

426

py

Python

app/mybot.py

arudmin/rocketgram-template

5360e4a71ae2ba3c83d87a6278f7f46c04317665

[ "WTFPL" ]

null

app/mybot.py

arudmin/rocketgram-template

5360e4a71ae2ba3c83d87a6278f7f46c04317665

[ "WTFPL" ]

null

app/mybot.py

arudmin/rocketgram-template

5360e4a71ae2ba3c83d87a6278f7f46c04317665

[ "WTFPL" ]

null

import logging import pickle from datetime import datetime import munch from rocketgram import Bot, Dispatcher, DefaultValuesMiddleware, ParseModeType logger = logging.getLogger('mybot') router = Dispatcher() def get_bot(token: str): bot = Bot(token, router=router, globals_class=munch.Munch, context_data_class=munch.Munch) bot.middleware(DefaultValuesMiddleware(parse_mode=ParseModeType.html)) return bot

22.421053

94

0.793427

51

426

6.529412

0.54902

0.084084

0.09009

0

0.126761

426

18

95

23.666667

0.895161

0

0.011765

0

1

0.090909

false

0

0.454545

0

0.636364

0

null

0

null

0

1

0

1

0

2

79c4ad5431fc01ca8847cda94d203de141747e2e

3,863

py

Python

decuen/actors/strats/epsilon.py

ziyadedher/decuen

bc3bd42857308d7b189f576a3404abb3f9152531

[ "MIT" ]

2

2019-03-21T20:15:22.000Z

2019-11-06T21:18:52.000Z

decuen/actors/strats/epsilon.py

ziyadedher/decuen

bc3bd42857308d7b189f576a3404abb3f9152531

[ "MIT" ]

10

2019-11-17T14:41:31.000Z

2019-11-26T18:52:27.000Z

decuen/actors/strats/epsilon.py

ziyadedher/decuen

bc3bd42857308d7b189f576a3404abb3f9152531

[ "MIT" ]

null

"""Implementation of an epsilon-greedy action selection strategy.""" from abc import ABC, abstractmethod from typing import Callable, ClassVar, Optional from decuen.actors.strats._strategy import Strategy from decuen.actors.strats.greedy import GreedyStrategy from decuen.actors.strats.uniform import UniformStrategy from decuen.dists import Categorical from decuen.structs import Action, Tensor from decuen.utils.function_property import FunctionProperty # pylint: disable=too-few-public-methods class EpsilonDecay(ABC): """Technique used to decay epsilon in `EpsilonGreedyStrategy`.""" @abstractmethod def decay(self, value: float) -> float: """Decay an epsilon value and return the decayed value.""" ... class NoEpsilonDecay(EpsilonDecay): """No-op epsilon "decay".""" def decay(self, value: float) -> float: """Return the inputted value directly with no decay.""" return value class FunctionEpsilonDecay(EpsilonDecay): """Functional epsilon decay. Decays based on a custom decay function. """ func: FunctionProperty[Callable[[float], float]] def __init__(self, func: Callable[[float], float]) -> None: """Initialize a functional epsilon decay technique.""" self.func = func def decay(self, value: float) -> float: """Return the decayed value according to the decaying function.""" return self.func(value) class LinearEpsilonDecay(EpsilonDecay): """Linear epsilon decay. Decays linearly based on a linear decay factor. """ factor: float def __init__(self, factor: float) -> None: """Initialize a linear epsilon decay technique.""" self.factor = factor def decay(self, value: float) -> float: """Return the value reduced by the linear decay factor.""" return value - self.factor class ExponentialEpsilonDecay(EpsilonDecay): """Exponential epsilon decay. Decays geometrically based on a exponential decay factor. """ factor: float def __init__(self, factor: float) -> None: """Initialize an exponential epsilon decay technique.""" # TODO: warn against weird factors (i.e. <= 0 or >= 1) self.factor = factor def decay(self, value: float) -> float: """Return the value multiplied by the exponential decay factor.""" return value * self.factor # pylint: disable=too-few-public-methods class EpsilonGreedyStrategy(Strategy): """Epsilon-greedy action selection strategy.""" greedy: ClassVar[GreedyStrategy] = GreedyStrategy() random: ClassVar[UniformStrategy] = UniformStrategy() epsilon: float min_epsilon: float max_epsilon: float _decay: EpsilonDecay def __init__(self, epsilon: float, max_epsilon: float = 1, min_epsilon: float = 0, decay: Optional[EpsilonDecay] = None) -> None: """Initialize an epsilon-greedy strategy.""" super().__init__(Categorical) self.epsilon = epsilon self.max_epsilon = max_epsilon self.min_epsilon = min_epsilon self._decay = decay if decay else NoEpsilonDecay() def act(self, action_values: Tensor) -> Action: """Generate parameters for a categorical action distribution based on a epsilon-greedy strategy. Decays epsilon according to the decay mechanism after choosing an action. """ probs = (1 - self.epsilon) * self.greedy.act(action_values) + self.epsilon * self.random.act(action_values) self.decay() return probs def decay(self) -> None: """Decay the epsilon according to the decaying technique.""" self.epsilon = max(self._decay.decay(self.epsilon), self.min_epsilon) def reset(self) -> None: """Reset the epsilon to be the maximum epsilon.""" self.epsilon = self.max_epsilon

32.191667

115

0.6803

446

3,863

5.807175

0.246637

0.033977

0.027799

0.032819

0.228958

0.180309

0.145174

0.116602

0.088803

0

0.001656

0.218483

3,863

119

116

32.462185

0.856244

0.330054

0

0.2

0

0.008403

0

1

0.218182

false

0

0.145455

0

0.727273

0

null

0

null

0

1

0

1

0

2

79dd1956eda2bbd3df8995bb81479005690d4a42

301

py

Python

magicmirror/tools/es/__init__.py

memirror/magicMirror

05ee16b44aef22c30da2bc3323c5ba593b3e53fa

[ "MIT" ]

5

2021-09-03T03:06:51.000Z

2022-03-22T07:48:22.000Z

magicmirror/tools/es/__init__.py

xiaodongxiexie/magicMirror

05ee16b44aef22c30da2bc3323c5ba593b3e53fa

[ "MIT" ]

null

magicmirror/tools/es/__init__.py

xiaodongxiexie/magicMirror

05ee16b44aef22c30da2bc3323c5ba593b3e53fa

[ "MIT" ]

null

# -*- coding: utf-8 -*- # @Author: xiaodong # @Date : 2021/5/27 from elasticsearch import Elasticsearch from .question import ElasticSearchQuestion from ...setting import ELASTICSEARCH_HOST ElasticSearchQuestion.es = Elasticsearch(ELASTICSEARCH_HOST) esq = ElasticSearchQuestion("mm_question")

21.5

60

0.777409

31

301

7.451613

0.612903

0.164502

0

0.030303

0.122924

301

13

61

23.153846

0.844697

0.192691

0

0.046025

0

1

0

false

0

0.6

0

0.6

0

null

0

null

0

1

0

1

0

2

79ddb105ac755f4279b7ea5fbb3e4ad1e1be660a

265

py

Python

mirari/TCS/migrations/0051_merge_20200210_1930.py

gcastellan0s/mirariapp

24a9db06d10f96c894d817ef7ccfeec2a25788b7

[ "MIT" ]

null

mirari/TCS/migrations/0051_merge_20200210_1930.py

gcastellan0s/mirariapp

24a9db06d10f96c894d817ef7ccfeec2a25788b7

[ "MIT" ]

18

2019-12-27T19:58:20.000Z

2022-02-27T08:17:49.000Z

mirari/TCS/migrations/0051_merge_20200210_1930.py

gcastellan0s/mirariapp

24a9db06d10f96c894d817ef7ccfeec2a25788b7

[ "MIT" ]

null

# Generated by Django 2.0.5 on 2020-02-11 01:30 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('TCS', '0050_auto_20190918_1247'), ('TCS', '0050_auto_20191127_2331'), ] operations = [ ]

17.666667

47

0.637736

33

265

4.939394

0.818182

0.08589

0.134969

0

0.232673

0.237736

265

14

48

18.928571

0.574257

0.169811

0

1

0

0.238532

0.211009

0

1

0

false

0

0.125

0

0.5

0

null

0

1

0

1

0

null

0

2

8db6147436c0b6b4669ca38bc881f7d85d39b8de

3,050

py

Python

nova/scheduler/weights/__init__.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/scheduler/weights/__init__.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/scheduler/weights/__init__.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

15.482234

88

0.632787

442

3,050

4.298643

0.269231

0.042632

0.068421

0.050526

0.305263

0.226842

0.147895

0.126842

0.084211

0

0.00299

0.122623

3,050

196

89

15.561224

0.707025

0

0.770408

0

0.446885

0

null

0.005102

null

0

null

0

1

0

null

0

1

0

2

8dc12441a5e7249e908d2c2dfcd39c2193640172

6,680

py

Python

jinfo/sequence.py

JBwdn/jinfo

b5933edd3ea3d27f4f7c1e0153e16750de0d1726

[ "MIT" ]

null

jinfo/sequence.py

JBwdn/jinfo

b5933edd3ea3d27f4f7c1e0153e16750de0d1726

[ "MIT" ]

1

2020-12-07T14:07:14.000Z

jinfo/sequence.py

JBwdn/jinfo

b5933edd3ea3d27f4f7c1e0153e16750de0d1726

[ "MIT" ]

null

from jinfo.tables import ( DNA_VOCAB, RNA_VOCAB, AA_VOCAB, CODON_TABLE, RC_TABLE, NT_MW_TABLE, AA_MW_TABLE, ) class SeqVocabError(Exception): pass class SeqLengthError(Exception): pass class UnknownBaseError(Exception): pass class BaseSeq: """ Parent class for DNA/RNA/AA sequence objects """ def __init__(self, sequence: str = "", label: str = "", vocab: set = None) -> None: self.vocab = vocab self.label = label self.update_seq(sequence) self.len = len(self.seq) return def __str__(self): return f"{self.label}\t{self.seq}" def check_seq_valid(self) -> None: """ Ensure that the sequence string is consistant with the vocab """ if self.vocab is not None: if not self.vocab.issuperset(set(self.new_seq)): raise SeqVocabError("Seq contains bases not in vocab") return def update_seq(self, sequence: str = "") -> None: """ Replace the sequence string with a new string """ self.new_seq = sequence.upper() self.check_seq_valid() self.seq = self.new_seq self.len = len(sequence) return def update_label(self, label: str = "") -> None: """ Replace the sequence string with a new string """ self.label = label return def align(self, seq2, maxiters: int = 16): """ Perform alignment of two sequences, optionally control the number of iterations ***Requires MUSCLE package*** Returns Alignment object """ from jinfo.utils.multialign import multialign return multialign([self, seq2], maxiters=maxiters) def identity(self, seq2) -> float: """ Calculate the percentage identity between two sequences Returns: float """ from jinfo.utils.percentage_identity import percentage_identity return percentage_identity(self, seq2) def save_fasta(self, file_name: str) -> None: """ Save sequence to fasta file """ import textwrap seq_formatted = textwrap.fill(self.seq, width=80) if self.label == "": out_label = "jinfo_sequence" else: out_label = self.label with open(file_name, "w") as text_file: text_file.write(f">{out_label}\n{seq_formatted}") return class DNASeq(BaseSeq): """ Class to hold sequences of DNA """ def __init__(self, sequence: str = "", label: str = "") -> None: """ Call the superclass constructor with new default vocab argument """ super(DNASeq, self).__init__(sequence=sequence, label=label, vocab=DNA_VOCAB) return def transcribe(self) -> str: """ Returns: RNA transcript of the DNA sequence """ return self.seq.replace("T", "U") def translate(self) -> str: """ Returns: translated protein sequence of the DNA sequence """ transcript = self.transcribe() if len(transcript) % 3 != 0: raise SeqLengthError("Seq cannot be split into codons, not a multiple of 3") codon_list = [transcript[i : i + 3] for i in range(0, len(transcript), 3)] return "".join([CODON_TABLE[codon] for codon in codon_list]) def reverse_complement(self) -> str: """ Returns: reverse complement of the DNA sequence """ return "".join([RC_TABLE[base] for base in self.seq][::-1]) def find_CDS(self): return def MW(self) -> float: """ Calculate MW of linear double stranded DNA Returns: Molecular weight float """ if "X" in self.seq: raise UnknownBaseError("X base in sequence") fw_mw = sum([NT_MW_TABLE[base] for base in self.seq]) + 17.01 rv_mw = sum([NT_MW_TABLE[base] for base in self.reverse_complement()]) + 17.01 return fw_mw + rv_mw def GC(self, dp: int = 2) -> float: """ Calculate the GC% of the DNA sequence with optional arg to control precision Returns: GC percentage float """ return round(100 * (self.seq.count("C") + self.seq.count("G")) / self.len, dp) def tm(self, dp: int = 2) -> float: """ Calculate DNA sequence tm with optional arg to control precision Returns: melting temperature float """ import primer3 return round(primer3.calcTm(self.seq), dp) def one_hot(self, max_len: int = None): """ """ from jinfo import one_hot_dna if max_len: return one_hot_dna(self, max_len) else: return one_hot_dna(self, self.len) class RNASeq(BaseSeq): """ Class to hold RNA sequences """ def __init__(self, sequence: str = "", label: str = "") -> None: """ Call the superclass constructor with new default vocab argument """ super(RNASeq, self).__init__(sequence=sequence, label=label, vocab=RNA_VOCAB) return def reverse_transcribe(self) -> str: """ Returns: DNA template of the RNA sequence """ return self.seq.replace("U", "T") def translate(self) -> str: """ Returns: the translated protein sequence of the DNA sequence """ if len(self.seq) % 3 != 0: raise SeqLengthError("Seq cannot be split into codons, not a multiple of 3") codon_list = [self.seq[i : i + 3] for i in range(0, len(self.seq), 3)] return "".join([CODON_TABLE[codon] for codon in codon_list]) def MW(self) -> float: """ Calculate MW of single stranded RNA Returns: Molecular weight float """ if "X" in self.seq: raise UnknownBaseError("X base in sequence") return sum([NT_MW_TABLE[base] for base in self.seq]) + 17.01 class AASeq(BaseSeq): """ Class to hold amino acid sequences """ def __init__(self, sequence: str = "", label: str = ""): """ Call the superclass constructor with new default vocab argument """ super(AASeq, self).__init__(sequence=sequence, label=label, vocab=AA_VOCAB) return def MW(self) -> float: """ Calculate protein MW Returns: Molecular weight float """ if "X" in self.seq: raise UnknownBaseError("X residue in sequence") return sum([AA_MW_TABLE[base] for base in self.seq]) if __name__ == "__main__": pass

25.39924

88

0.577994

813

6,680

4.615006

0.210332

0.035448

0.016791

0.021322

0.441098

0.39419

0.372068

0.269456

0.249467

0.239872

0

0.008743

0.31512

6,680

262

89

25.496183

0.811366

0.208982

0

0.294643

0

0.058736

0.011238

0

1

0.205357

false

0.035714

0.053571

0.017857

0.535714

0

null

0

null

0

1

0

1

0

2

8de9bac54c06400b09fe0841b43b9c0c1c1f4575

527

py

Python

Pre-train/refers/data/__init__.py

funnyzhou/REFERS

392eddf13cbf3c3a7dc0bf8bfffd108ca4a65a19

[ "MIT" ]

46

2021-11-19T03:23:01.000Z

2022-03-27T08:59:50.000Z

Pre-train/refers/data/__init__.py

funnyzhou/REFERS

392eddf13cbf3c3a7dc0bf8bfffd108ca4a65a19

[ "MIT" ]

null

Pre-train/refers/data/__init__.py

funnyzhou/REFERS

392eddf13cbf3c3a7dc0bf8bfffd108ca4a65a19

[ "MIT" ]

3

2022-01-22T18:45:20.000Z

2022-03-29T08:59:16.000Z

from .datasets.captioning import CaptioningDataset from .datasets.masked_lm import MaskedLmDataset from .datasets.multilabel import MultiLabelClassificationDataset from .datasets.downstream import ( ImageNetDataset, INaturalist2018Dataset, VOC07ClassificationDataset, ImageDirectoryDataset, ) __all__ = [ "CaptioningDataset", "MaskedLmDataset", "MultiLabelClassificationDataset", "ImageDirectoryDataset", "ImageNetDataset", "INaturalist2018Dataset", "VOC07ClassificationDataset", ]

26.35

64

0.781784

32

527

12.71875

0.5

0.117936

0.309582

0

0.026667

0.14611

527

19

65

27.736842

0.877778

0

0.278937

0.189753

0

1

0

false

0

0.222222

0

0.222222

0

1

null

0

1

0

null

0

2

8df4615701e7dedef4351712d7a59c5d1e5c432e

364

py

Python

Snippets and Basic Functions/Cryptography/ecdsa-ops.py

sckulkarni246/python-snippets-for-embedded-programmers

9dfd0b193f86a6de54598917f3d7088a60ec4abc

[ "MIT" ]

null

Snippets and Basic Functions/Cryptography/ecdsa-ops.py

sckulkarni246/python-snippets-for-embedded-programmers

9dfd0b193f86a6de54598917f3d7088a60ec4abc

[ "MIT" ]

null

Snippets and Basic Functions/Cryptography/ecdsa-ops.py

sckulkarni246/python-snippets-for-embedded-programmers

9dfd0b193f86a6de54598917f3d7088a60ec4abc

[ "MIT" ]

null

import ecdsa import hashlib sk = ecdsa.SigningKey.generate(curve=ecdsa.NIST256p) vk = sk.get_verifying_key() a = b"Hello World!" sig = sk.sign(a,hashfunc=hashlib.sha256) result = vk.verify(sig,a,hashfunc=hashlib.sha256) strsk = sk.to_string() strvk = vk.to_string() sk2 = ecdsa.SigningKey.from_string(strsk,curve=ecdsa.NIST256p) vk2 = sk2.get_verifying_key()

21.411765

62

0.760989

57

364

4.736842

0.508772

0.111111

0.133333

0.162963

0

0.045872

0.101648

364

16

63

22.75

0.779817

0

1

0

0.032967

0

1

0

false

0

0.181818

0

0.181818

0

null

0

1

0

1

0

null

0

2

8dfcb3cc51ba098203b49c8846a0a0b7192220bf

313

py

Python

scenarios/SambaShare/config.py

dasec/ForTrace

b8187522a2c83fb661e5a1a5f403da8f40a31ead

[ "MIT" ]

1

2022-03-31T14:01:51.000Z

scenarios/SambaShare/config.py

dasec/ForTrace

b8187522a2c83fb661e5a1a5f403da8f40a31ead

[ "MIT" ]

null

scenarios/SambaShare/config.py

dasec/ForTrace

b8187522a2c83fb661e5a1a5f403da8f40a31ead

[ "MIT" ]

1

2022-03-31T14:02:30.000Z

imagename = "smbScenario" author = "David Konczewski" hostplatform = "windows" poolpath = "/home/wurstfingersalat/Downloads/fortracepool/" smbname = "smbServer" smbplatform = "unix" sourcePath = "C:\Users\fortrace\Desktop\TestFile.txt" targetPath = r"\\192.168.103.102\public" username = "bla" password = "test"

26.083333

59

0.747604

34

313

6.882353

1

0

0.042705

0.102236

313

11

60

28.454545

0.790036

0

0.519231

0.346154

0

null

0.1

0

null

0

null

0

null

0

1

0

1

0

2

5c05581cfe7725cd6de73043086602105f3512f1

205

py

Python

src/commands/posts/kernel.py

MineHubCZ/MH-DOS

0d1361aee8aa4903e7b6c89c1df279b74d55d703

[ "MIT" ]

2

2021-08-01T12:59:59.000Z

2021-09-27T05:51:05.000Z

src/commands/posts/kernel.py

MineHubCZ/MH-DOS

0d1361aee8aa4903e7b6c89c1df279b74d55d703

[ "MIT" ]

3

2021-07-25T07:54:19.000Z

2021-08-18T20:35:26.000Z

src/commands/posts/kernel.py

MineHubCZ/MH-DOS

0d1361aee8aa4903e7b6c89c1df279b74d55d703

[ "MIT" ]

null

from commands.posts.show import show from commands.posts.all import all def posts(arguments): if not arguments: all() return if int(arguments[0]): show(arguments[0])

17.083333

36

0.629268

27

205

4.777778

0.481481

0.186047

0.263566

0

0.013514

0.278049

205

11

37

18.636364

0.858108

0

1

0.125

false

0

0.25

0

0.5

0

1

0

null

0

1

0

null

0

2

5c1034bae8fc295a3f243c68cc7b08646a98fe8b

348

py

Python

22. Workshop - Custom List/tests/tests_case_base.py

elenaborisova/Python-OOP

584882c08f84045b12322917f0716c7c7bd9befc

[ "MIT" ]

1

2021-03-27T16:56:30.000Z

22. Workshop - Custom List/tests/tests_case_base.py

elenaborisova/Python-OOP

584882c08f84045b12322917f0716c7c7bd9befc

[ "MIT" ]

null

22. Workshop - Custom List/tests/tests_case_base.py

elenaborisova/Python-OOP

584882c08f84045b12322917f0716c7c7bd9befc

[ "MIT" ]

1

2021-03-15T14:50:39.000Z

from unittest import TestCase class TestCaseBase(TestCase): def assertEmpty(self, iterable): if type(iterable) == dict: return self.assertDictEqual({}, dict(iterable)) elif type(iterable) == set: return self.assertSetEqual(set(), set(iterable)) return self.assertListEqual([], list(iterable))

29

60

0.649425

35

348

6.457143

0.571429

0.132743

0

0.232759

348

11

61

31.636364

0.846442

0

0.5

1

0.125

false

0

0.125

0

0.75

0

null

0

null

0

1

0

1

0

2

5c242a198477936939412bc6fd3c800247ffa52b

310

py

Python

neuraldistributions/utility/__init__.py

mohammadbashiri/bashiri-et-al-2021

c7c15ea0bf165d4d3db2ff63a04a1e78c29bf44c

[ "MIT" ]

2

2021-12-04T20:01:00.000Z

2021-12-05T19:59:02.000Z

neuraldistributions/utility/__init__.py

mohammadbashiri/bashiri-et-al-2021

c7c15ea0bf165d4d3db2ff63a04a1e78c29bf44c

[ "MIT" ]

1

2021-12-15T20:50:04.000Z

neuraldistributions/utility/__init__.py

mohammadbashiri/bashiri-et-al-2021

c7c15ea0bf165d4d3db2ff63a04a1e78c29bf44c

[ "MIT" ]

1

2021-09-15T12:26:17.000Z

from .reproducibility import set_random_seed from .training import EarlyStopping from .dataset import get_dataloader, imread from .model_evaluation import ( get_conditional_means, get_conditional_variances, spearman_corr, ) from .scoring_functions import ( Correlation, get_loglikelihood, )

25.833333

44

0.8

35

310

6.771429

0.657143

0.075949

0

0.151613

310

12

45

25.833333

0.901141

0

1

0

true

0

0.416667

0

0.416667

0

null

0

null

0

1

0

1

0

2

5c2fd36ec63dc8452f1ae98ad930b70f17c2fece

430

py

Python

nodefinder/search/result/__init__.py

zx-sdu/NodeFinder

edaeeba8fb5a1ca28222313f6de7a6dfa8253093

[ "Apache-2.0" ]

2

2020-01-29T16:47:18.000Z

2021-05-24T16:39:00.000Z

nodefinder/search/result/__init__.py

zx-sdu/NodeFinder

edaeeba8fb5a1ca28222313f6de7a6dfa8253093

[ "Apache-2.0" ]

12

2018-07-11T23:42:19.000Z

2021-10-07T21:39:12.000Z

nodefinder/search/result/__init__.py

zx-sdu/NodeFinder

edaeeba8fb5a1ca28222313f6de7a6dfa8253093

[ "Apache-2.0" ]

2

2019-11-06T00:22:53.000Z

2019-11-06T00:38:23.000Z

# -*- coding: utf-8 -*- # © 2017-2019, ETH Zurich, Institut für Theoretische Physik # Author: Dominik Gresch <greschd@gmx.ch> """ Submodule defining the result classes of the search step. """ from ._minimization import * from ._search_result_container import * from ._controller_state import * __all__ = _minimization.__all__ + _search_result_container.__all__ + _controller_state.__all__ # pylint: disable=undefined-variable

30.714286

132

0.769767

53

430

5.735849

0.698113

0.065789

0.138158

0

0.024064

0.130233

430

13

133

33.076923

0.786096

0.495349

0

1

0

false

0

0.75

0

0.75

0

null

0

null

0

1

0

1

0

2

308696aec5daf6d1909385db9bbfaabec91c70ed

12,678

py

Python

cli/tests/test_polyflow/test_io.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

cli/tests/test_polyflow/test_io.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

cli/tests/test_polyflow/test_io.py

hackerwins/polyaxon

ff56a098283ca872abfbaae6ba8abba479ffa394

[ "Apache-2.0" ]

null

#!/usr/bin/python # # Copyright 2019 Polyaxon, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to 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. # coding: utf-8 from __future__ import absolute_import, division, print_function import uuid from collections import OrderedDict from unittest import TestCase import pytest from marshmallow import ValidationError from tests.utils import assert_equal_dict from polyaxon.schemas.polyflow.io import IOConfig, IOTypes from polyaxon.schemas.polyflow.params import ParamSpec, get_param @pytest.mark.polyflow_mark class TestIOConfigs(TestCase): def test_wrong_io_config(self): # No name with self.assertRaises(ValidationError): IOConfig.from_dict({}) def test_unsupported_io_config_type(self): with self.assertRaises(ValidationError): IOConfig.from_dict({"name": "input1", "type": "something"}) def test_wrong_io_config_default(self): with self.assertRaises(ValidationError): IOConfig.from_dict( {"name": "input1", "type": IOTypes.FLOAT, "value": "foo"} ) with self.assertRaises(ValidationError): IOConfig.from_dict( {"name": "input1", "type": IOTypes.GCS_PATH, "value": 234} ) def test_wrong_io_config_flag(self): with self.assertRaises(ValidationError): IOConfig.from_dict( {"name": "input1", "type": IOTypes.S3_PATH, "is_flag": True} ) with self.assertRaises(ValidationError): IOConfig.from_dict( {"name": "input1", "type": IOTypes.FLOAT, "is_flag": True} ) def test_io_config_optionals(self): config_dict = {"name": "input1"} config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_io_config_desc(self): # test desc config_dict = {"name": "input1", "description": "some text"} config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) def test_io_config_types(self): config_dict = { "name": "input1", "description": "some text", "type": IOTypes.INT, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) expected_repr = OrderedDict((("name", "input1"), ("type", "int"), ("value", 3))) assert config.get_repr_from_value(3) == expected_repr assert config.get_repr() == OrderedDict((("name", "input1"), ("type", "int"))) config_dict = { "name": "input1", "description": "some text", "type": IOTypes.S3_PATH, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) expected_repr = OrderedDict( (("name", "input1"), ("type", IOTypes.S3_PATH), ("value", "s3://foo")) ) assert config.get_repr_from_value("s3://foo") == expected_repr assert config.get_repr() == OrderedDict( (("name", "input1"), ("type", IOTypes.S3_PATH)) ) def test_io_config_default(self): config_dict = { "name": "input1", "description": "some text", "type": IOTypes.BOOL, "is_optional": True, "value": True, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) expected_repr = OrderedDict( (("name", "input1"), ("type", "bool"), ("value", True)) ) assert config.get_repr_from_value(None) == expected_repr assert config.get_repr() == expected_repr config_dict = { "name": "input1", "description": "some text", "type": IOTypes.FLOAT, "is_optional": True, "value": 3.4, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) expected_repr = OrderedDict( (("name", "input1"), ("type", "float"), ("value", 3.4)) ) assert config.get_repr_from_value(None) == expected_repr assert config.get_repr() == expected_repr def test_io_config_default_and_required(self): config_dict = { "name": "input1", "description": "some text", "type": IOTypes.BOOL, "value": True, "is_optional": True, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) config_dict = { "name": "input1", "description": "some text", "type": IOTypes.STR, "value": "foo", } with self.assertRaises(ValidationError): IOConfig.from_dict(config_dict) def test_io_config_required(self): config_dict = { "name": "input1", "description": "some text", "type": "float", "is_optional": False, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) expected_repr = OrderedDict( (("name", "input1"), ("type", "float"), ("value", 1.1)) ) assert config.get_repr_from_value(1.1) == expected_repr assert config.get_repr() == OrderedDict((("name", "input1"), ("type", "float"))) def test_io_config_flag(self): config_dict = { "name": "input1", "description": "some text", "type": IOTypes.BOOL, "is_flag": True, } config = IOConfig.from_dict(config_dict) assert_equal_dict(config.to_dict(), config_dict) expected_repr = OrderedDict( (("name", "input1"), ("type", "bool"), ("value", False)) ) assert config.get_repr_from_value(False) == expected_repr def test_value_non_typed_input(self): config_dict = {"name": "input1"} config = IOConfig.from_dict(config_dict) assert config.validate_value("foo") == "foo" assert config.validate_value(1) == 1 assert config.validate_value(True) is True expected_repr = OrderedDict((("name", "input1"), ("value", "foo"))) assert config.get_repr_from_value("foo") == expected_repr assert config.get_repr() == OrderedDict(name="input1") def test_value_typed_input(self): config_dict = {"name": "input1", "type": IOTypes.BOOL} config = IOConfig.from_dict(config_dict) with self.assertRaises(ValidationError): config.validate_value("foo") with self.assertRaises(ValidationError): config.validate_value(1) with self.assertRaises(ValidationError): config.validate_value(None) assert config.validate_value(True) is True def test_value_typed_input_with_default(self): config_dict = { "name": "input1", "type": IOTypes.INT, "value": 12, "is_optional": True, } config = IOConfig.from_dict(config_dict) with self.assertRaises(ValidationError): config.validate_value("foo") assert config.validate_value(1) == 1 assert config.validate_value(0) == 0 assert config.validate_value(-1) == -1 assert config.validate_value(None) == 12 expected_repr = OrderedDict( (("name", "input1"), ("type", "int"), ("value", 12)) ) assert config.get_repr_from_value(None) == expected_repr assert config.get_repr() == expected_repr def test_get_param(self): # None string values should exit fast assert get_param( name="foo", value=1, iotype=IOTypes.INT, is_flag=False ) == ParamSpec( name="foo", iotype=IOTypes.INT, value=1, entity=None, entity_ref=None, entity_value=None, is_flag=False, ) # Str values none regex assert get_param( name="foo", value="1", iotype=IOTypes.INT, is_flag=False ) == ParamSpec( name="foo", iotype=IOTypes.INT, value="1", entity=None, entity_ref=None, entity_value=None, is_flag=False, ) assert get_param( name="foo", value="SDfd", iotype=IOTypes.STR, is_flag=False ) == ParamSpec( name="foo", iotype=IOTypes.STR, value="SDfd", entity=None, entity_ref=None, entity_value=None, is_flag=False, ) # Regex validation dag assert get_param( name="foo", value="{{ dag.inputs.foo }}", iotype=IOTypes.BOOL, is_flag=True ) == ParamSpec( name="foo", iotype=IOTypes.BOOL, value="dag.inputs.foo", entity="dag", entity_ref="_", entity_value="foo", is_flag=True, ) # Regex validation dag: invalid params with self.assertRaises(ValidationError): get_param( name="foo", value="{{ dag.outputs.foo }}", iotype=IOTypes.BOOL, is_flag=True, ) with self.assertRaises(ValidationError): get_param( name="foo", value="{{ dag.1.inputs.foo }}", iotype=IOTypes.BOOL, is_flag=True, ) with self.assertRaises(ValidationError): get_param( name="foo", value="{{ dag.inputs }}", iotype=IOTypes.BOOL, is_flag=True ) # Regex validation ops assert get_param( name="foo", value="{{ ops.foo-bar.outputs.foo }}", iotype=IOTypes.BOOL, is_flag=True, ) == ParamSpec( name="foo", iotype=IOTypes.BOOL, value="ops.foo-bar.outputs.foo", entity="ops", entity_ref="foo-bar", entity_value="foo", is_flag=True, ) assert get_param( name="foo", value="{{ ops.foo-bar.inputs.foo }}", iotype=IOTypes.BOOL, is_flag=True, ) == ParamSpec( name="foo", iotype=IOTypes.BOOL, value="ops.foo-bar.inputs.foo", entity="ops", entity_ref="foo-bar", entity_value="foo", is_flag=True, ) # Regex validation ops: invalid params with self.assertRaises(ValidationError): get_param( name="foo", value="{{ ops.foo-bar.outputs }}", iotype=IOTypes.BOOL, is_flag=True, ) with self.assertRaises(ValidationError): get_param( name="foo", value="{{ ops.foo-bar.inputs }}", iotype=IOTypes.BOOL, is_flag=True, ) # Regex validation runs uid = uuid.uuid4().hex assert get_param( name="foo", value="{{" + "runs.{}.outputs.foo".format(uid) + "}}", iotype=IOTypes.BOOL, is_flag=True, ) == ParamSpec( name="foo", iotype=IOTypes.BOOL, value="runs.{}.outputs.foo".format(uid), entity="runs", entity_ref=uid, entity_value="foo", is_flag=True, ) # Regex validation runs: invalid params with self.assertRaises(ValidationError): get_param( name="foo", value="{{ runs.foo-bar.outputs.foo }}", iotype=IOTypes.BOOL, is_flag=True, ) with self.assertRaises(ValidationError): get_param( name="foo", value="{{" + "runs.{}.inputs.foo".format(uid) + "}}", iotype=IOTypes.BOOL, is_flag=True, )

33.451187

88

0.54985

1,329

12,678

5.043642

0.125658

0.052215

0.048038

0.093988

0.797553

0.773236

0.738774

0.671192

0.638669

0.570192

0

0.009238

0.325446

12,678

378

89

33.539683

0.774556

0.065862

0

0.589172

0

0.106965

0.009647

0.006369

0

0.184713

1

0.047771

false

0

0.028662

0

0.079618

0.003185

0

null

0

1

0

null

0

2

30b638da5030fbfdcd883d8276e056b82e0090a9

2,200

bzl

Python

tools/build_rules/test_rules_private.bzl

jobechoi/bazel

c03e9ac2588a590881350f4f9dd859de480240de

[ "Apache-2.0" ]

16,989

2015-09-01T19:57:15.000Z

2022-03-31T23:54:00.000Z

tools/build_rules/test_rules_private.bzl

jobechoi/bazel

c03e9ac2588a590881350f4f9dd859de480240de

[ "Apache-2.0" ]

12,562

2015-09-01T09:06:01.000Z

2022-03-31T22:26:20.000Z

tools/build_rules/test_rules_private.bzl

jobechoi/bazel

c03e9ac2588a590881350f4f9dd859de480240de

[ "Apache-2.0" ]

3,707

2015-09-02T19:20:01.000Z

2022-03-31T17:06:14.000Z

# Copyright 2019 The Bazel Authors. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by 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. """Bash runfiles library init code for test_rules.bzl.""" # Init code to load the runfiles.bash file. # The runfiles library itself defines rlocation which you would need to look # up the library's runtime location, thus we have a chicken-and-egg problem. INIT_BASH_RUNFILES = [ "# --- begin runfiles.bash initialization ---", "# Copy-pasted from Bazel Bash runfiles library (tools/bash/runfiles/runfiles.bash).", "set -euo pipefail", 'if [[ ! -d "${RUNFILES_DIR:-/dev/null}" && ! -f "${RUNFILES_MANIFEST_FILE:-/dev/null}" ]]; then', ' if [[ -f "$0.runfiles_manifest" ]]; then', ' export RUNFILES_MANIFEST_FILE="$0.runfiles_manifest"', ' elif [[ -f "$0.runfiles/MANIFEST" ]]; then', ' export RUNFILES_MANIFEST_FILE="$0.runfiles/MANIFEST"', ' elif [[ -f "$0.runfiles/bazel_tools/tools/bash/runfiles/runfiles.bash" ]]; then', ' export RUNFILES_DIR="$0.runfiles"', " fi", "fi", 'if [[ -f "${RUNFILES_DIR:-/dev/null}/bazel_tools/tools/bash/runfiles/runfiles.bash" ]]; then', ' source "${RUNFILES_DIR}/bazel_tools/tools/bash/runfiles/runfiles.bash"', 'elif [[ -f "${RUNFILES_MANIFEST_FILE:-/dev/null}" ]]; then', ' source "$(grep -m1 "^bazel_tools/tools/bash/runfiles/runfiles.bash " \\', ' "$RUNFILES_MANIFEST_FILE" | cut -d " " -f 2-)"', "else", ' echo >&2 "ERROR: cannot find @bazel_tools//tools/bash/runfiles:runfiles.bash"', " exit 1", "fi", "# --- end runfiles.bash initialization ---", ] # Label of the runfiles library. BASH_RUNFILES_DEP = "@bazel_tools//tools/bash/runfiles"

46.808511

102

0.676364

299

2,200

4.886288

0.41806

0.098563

0.081451

0.102669

0.322382

0.284052

0.160164

0.1013

0

0.009912

0.174545

2,200

46

103

47.826087

0.794604

0.386818

0

0.12

0

0.16

0.815373

0.489073

0

1

0

false

0

null

0

1

null

0

2

30b7f6927cf433ce23be01d4a486fea2d59cd181

989

py

Python

python/items_factory.py

yeachan153/GildedRose-Refactoring-Kata

77a5c01f3a2250882142f3695e3731372330618c

[ "MIT" ]

null

python/items_factory.py

yeachan153/GildedRose-Refactoring-Kata

77a5c01f3a2250882142f3695e3731372330618c

[ "MIT" ]

null

python/items_factory.py

yeachan153/GildedRose-Refactoring-Kata

77a5c01f3a2250882142f3695e3731372330618c

[ "MIT" ]

null

from python.items import AgedBrieItem, BackStageItem, RagnarosItem, ConjuredItem from python.exceptions import InvalidRepositoryException from typing import Union class ItemsFactory: """Generates correct item objects based on specified parameter """ @staticmethod def create_item( text: str, ) -> Union[AgedBrieItem, BackStageItem, RagnarosItem, ConjuredItem]: """Creates correct item Args: text (str): [description] Returns: Item: [description] """ if text == "Aged Brie": return AgedBrieItem elif text == "Backstage passes to a TAFKAL80ETC concert": return BackStageItem elif text == "Sulfuras, Hand of Ragnaros": return RagnarosItem elif text == "Conjured": return ConjuredItem else: raise InvalidRepositoryException( f"Repository of type {text} does not exist." )

28.257143

80

0.61274

88

989

6.875

0.625

0.039669

0.122314

0.161983

0

0.002959

0.316481

989

34

81

29.088235

0.892012

0.152679

0

1

0

0.160875

0

1

0.05

false

0.05

0.15

0

0.45

0

null

0

1

0

1

0

null

0

2

30beca55a709baf5dd47f082789523e6f07954f1

2,005

py

Python

app/utils/message.py

NehaDC-IMC/connect-processor-template-for-python

9abdb4b513c648232ffa2092db7e3b8d02575bcb

[ "Apache-2.0" ]

null

app/utils/message.py

NehaDC-IMC/connect-processor-template-for-python

9abdb4b513c648232ffa2092db7e3b8d02575bcb

[ "Apache-2.0" ]

null

app/utils/message.py

NehaDC-IMC/connect-processor-template-for-python

9abdb4b513c648232ffa2092db7e3b8d02575bcb

[ "Apache-2.0" ]

null

class TierFulfillmentMessages(object): RROR_PROCESSING_TIER_REQUEST = 'There has been an error processing the tier config request. Error description: {}' class BasePurchaseMessages: pass class BaseChangeMessages: pass class BaseSuspendMessages: NOTHING_TO_DO = 'Suspend method for request {} - Nothing to do' class BaseCancelMessages: ACTIVATION_TILE_RESPONSE = 'Operation cancel done successfully' class BaseSharedMessages: ACTIVATING_TEMPLATE_ERROR = 'There has been a problem activating the template. Description {}' EMPTY_ACTIVATION_TILE = 'Activation tile response for marketplace {} cannot be empty' ERROR_GETTING_CONFIGURATION = 'There was an exception while getting configured info for the specified ' \ 'marketplace {}' NOT_FOUND_TEMPLATE = 'It was not found any template of type <{}> for the marketplace with id <{}>. ' \ 'Please review the configuration.' NOT_ALLOWED_DOWNSIZE = 'At least one of the requested items at the order is downsized which ' \ ' is not allowed. Please review your order.' RESPONSE_ERROR = 'Error: {} -> {}' RESPONSE_DOES_NOT_HAVE_ATTRIBUTE = 'Response does not have attribute {}. Check your request params. ' \ 'Response status - {}' WAITING_SUBSCRIPTION_ACTIVATION = 'The subscription has been updated, waiting Vendor/ISV to update the ' \ 'subscription status' class Message: class Shared(BaseSharedMessages): tier_request = TierFulfillmentMessages() class Purchase(BasePurchaseMessages): FAIL_REPEATED_PRODUCTS = 'It has been detected repeated products for the same purchase. ' \ 'Please review the configured plan.' class Change(BaseChangeMessages): pass class Suspend(BaseSuspendMessages): pass class Cancel(BaseCancelMessages): pass

37.830189

118

0.66783

205

2,005

6.4

0.458537

0.021341

0.018293

0.028963

0.042683

0

0.269825

2,005

52

119

38.557692

0.896175

0

0.138889

0

0.434066

0

1

0

false

0.138889

0

0.638889

0

null

0

null

0

1

0

1

0

2

30d1376ed4a53ab1347ac9676cdec36e14b4c7cc

823

py

Python

interface/popup.py

spatocode/seeker

b7c3ccf5baa13ce12f6f9f33cc73fa9f09b8a1dc

[ "BSD-2-Clause" ]

null

interface/popup.py

spatocode/seeker

b7c3ccf5baa13ce12f6f9f33cc73fa9f09b8a1dc

[ "BSD-2-Clause" ]

null

interface/popup.py

spatocode/seeker

b7c3ccf5baa13ce12f6f9f33cc73fa9f09b8a1dc

[ "BSD-2-Clause" ]

null

import wx class PopupMenu(wx.Menu): def __init__(self, parent): super(PopupMenu, self).__init__() self.parent = parent sendPackets = wx.MenuItem(self, wx.NewId(), "Send Packets") self.Append(sendPackets) copyPackets = wx.MenuItem(self, wx.NewId(), "Copy Packets") self.Append(copyPackets) whois = wx.MenuItem(self, wx.NewId(), "Whois") self.Append(whois) filterPackets = wx.MenuItem(self, wx.NewId(), "Filter") self.Append(filterPackets) rts = wx.MenuItem(self, wx.NewId(), "Reconstruct TCP Session") self.Append(rts) rus = wx.MenuItem(self, wx.NewId(), "Reconstruct UDP Session") self.Append(rus) copyAddress = wx.MenuItem(self, wx.NewId(), "Copy Address") self.Append(copyAddress)

29.392857

70

0.617254

94

823

5.319149

0.308511

0.14

0.196

0.224

0.354

0.228

0

0.244228

823

27

71

30.481481

0.803859

0

0.113001

0

1

0.052632

false

0

0.052632

0

0.157895

0

null

0

1

0

null

0

2

30ee18a6b2f022e0885f14c7de3dc685941faaaa

2,604

py

Python

puente-etl/jobs.py

puente-development-international/serverless

5eb89737821e3c711fc9ab9f8738c741e0ff5e03

[ "MIT" ]

null

puente-etl/jobs.py

puente-development-international/serverless

5eb89737821e3c711fc9ab9f8738c741e0ff5e03

[ "MIT" ]

null

puente-etl/jobs.py

puente-development-international/serverless

5eb89737821e3c711fc9ab9f8738c741e0ff5e03

[ "MIT" ]

1

2020-07-05T22:04:07.000Z

from load_to_s3 import export_to_s3_as_dataframe, export_to_s3_as_csv from transform_form_specifications import get_custom_form_schema_df from transform_form_results import get_form_results_df from utils.clients import Clients from utils.constants import PuenteTables def run_transform_jobs(event, context): """ Orchestrate transformations """ # Initialize AWS S3 Client s3_client = Clients.S3 # if event.get(PuenteTables.ALLERGIES): if event.get(PuenteTables.FORM_RESULTS): # raw_results == True does not aggregate the results, pass False to ensure aggregation df = get_form_results_df(raw_results=True) for org in df['form_result_surveying_organization'].unique(): org_df = df[df['form_result_surveying_organization']==org] for custom_form in org_df['custom_form_id'].unique(): final_df = org_df[org_df['custom_form_id'] == custom_form] export_to_s3_as_csv(s3_client, final_df, f"form-result-{custom_form}", org) if event.get(PuenteTables.FORM_SPECIFICATIONS): df = get_custom_form_schema_df() export_to_s3_as_dataframe(s3_client, df, PuenteTables.FORM_SPECIFICATIONS) # TODO: PUENTE FORMS # if event.get(PuenteTables.FORM_ASSET_RESULTS): # if event.get(PuenteTables.ASSETS): # if event.get(PuenteTables.HISTORY_ENVIRONMENTAL_HEALTH): # if event.get(PuenteTables.HISTORY_MEDICAL): # if event.get(PuenteTables.SURVEY_DATA): # if event.get(PuenteTables.VITALS): # if event.get(PuenteTables.EVALUATION_MEDICAL): # if event.get(PuenteTables.OFFLINE_FORM): # if event.get(PuenteTables.OFFLINE_FORM_REQUEST): # if event.get(PuenteTables.HOUSEHOLD): # if event.get(PuenteTables.ROLE): # if event.get(PuenteTables.SESSION): # if event.get(PuenteTables.USER): if __name__ == '__main__': jobs = { PuenteTables.ALLERGIES: False, PuenteTables.ASSETS: False, PuenteTables.EVALUATION_MEDICAL: False, PuenteTables.FORM_ASSET_RESULTS: False, PuenteTables.FORM_RESULTS: True, PuenteTables.FORM_SPECIFICATIONS: False, PuenteTables.HISTORY_ENVIRONMENTAL_HEALTH: False, PuenteTables.HISTORY_MEDICAL: False, #PuenteTables.OFFLINE_FORM: False, #PuenteTables.OFFLINE_FORM_REQUEST: False, PuenteTables.HOUSEHOLD: False, PuenteTables.ROLE: False, PuenteTables.SESSION: False, PuenteTables.SURVEY_DATA: False, PuenteTables.USER: False, PuenteTables.VITALS: False } run_transform_jobs(jobs, {})

38.294118

94

0.715822

315

2,604

5.609524

0.234921

0.063384

0.090549

0.199208

0.255801

0.037351

0

0.004764

0.193932

2,604

67

95

38.865672

0.837065

0.308756

0

0.073046

0.052661

0

0.014925

0

1

0.028571

false

0

0.142857

0

0.171429

0

null

0

1

0

null

0

1

0

2

a5003aee3fdfeb112214e2ce995e4b7632c2a000

1,077

py

Python

drdown/medicalrecords/views/view_static_data.py

fga-gpp-mds/2018.1-Cris-Down

3423374360105b06ac2c57a320bf2ee8deaa08a3

[ "MIT" ]

11

2018-03-11T01:21:43.000Z

2018-06-19T21:51:33.000Z

drdown/medicalrecords/views/view_static_data.py

fga-gpp-mds/2018.1-Grupo12

3423374360105b06ac2c57a320bf2ee8deaa08a3

[ "MIT" ]

245

2018-03-13T19:07:14.000Z

2018-07-07T22:46:00.000Z

drdown/medicalrecords/views/view_static_data.py

fga-gpp-mds/2018.1-Grupo12

3423374360105b06ac2c57a320bf2ee8deaa08a3

[ "MIT" ]

12

2018-08-24T13:26:04.000Z

2021-03-27T16:28:22.000Z

from drdown.users.models.model_health_team import HealthTeam from ..models.model_static_data import StaticData from ..models.model_medical_record import MedicalRecord from drdown.users.models.model_user import User from drdown.users.models.model_patient import Patient from django.views.generic import CreateView, DeleteView, UpdateView, ListView from django.urls import reverse_lazy from django.contrib.auth.mixins import UserPassesTestMixin from ..forms.static_data_forms import StaticDataForm from ..views.views_base import BaseViewForm, BaseViewUrl, BaseViewPermissions class StaticDataCreateView(BaseViewUrl, BaseViewForm, BaseViewPermissions, CreateView): model = StaticData form_class = StaticDataForm template_name = 'medicalrecords/medicalrecord_static_data_form.html' class StaticDataUpdateView(BaseViewUrl, UpdateView): model = StaticData form_class = StaticDataForm template_name = 'medicalrecords/medicalrecord_static_data_form.html' slug_url_kwarg = 'username' slug_field = 'patient__user__username'

41.423077

77

0.812442

121

1,077

6.991736

0.413223

0.065012

0.053191

0.074468

0.316785

0.224586

0

0.129991

1,077

25

78

43.08

0.902882

0

0.285714

0

0.121634

0.114206

0

1

0

false

0.047619

0.47619

0

0.952381

0

null

0

null

0

1

0

1

0

2

a50616668f1b0fda24a43ea8fe0b13c1c15724d0

978

py

Python

files/hacktm-ctf-2020/strange-pcap/solution/solve.py

J4sp3r/j4sp3r.github.io

0bab5698fdeab57426c90a315204bcd39cd79fa4

[ "MIT" ]

null

files/hacktm-ctf-2020/strange-pcap/solution/solve.py

J4sp3r/j4sp3r.github.io

0bab5698fdeab57426c90a315204bcd39cd79fa4

[ "MIT" ]

null

files/hacktm-ctf-2020/strange-pcap/solution/solve.py

J4sp3r/j4sp3r.github.io

0bab5698fdeab57426c90a315204bcd39cd79fa4

[ "MIT" ]

null

#!/usr/bin/env python3 usb_codes = { 0x04:"aA", 0x05:"bB", 0x06:"cC", 0x07:"dD", 0x08:"eE", 0x09:"fF", 0x0A:"gG", 0x0B:"hH", 0x0C:"iI", 0x0D:"jJ", 0x0E:"kK", 0x0F:"lL", 0x10:"mM", 0x11:"nN", 0x12:"oO", 0x13:"pP", 0x14:"qQ", 0x15:"rR", 0x16:"sS", 0x17:"tT", 0x18:"uU", 0x19:"vV", 0x1A:"wW", 0x1B:"xX", 0x1C:"yY", 0x1D:"zZ", 0x1E:"1!", 0x1F:"2@", 0x20:"3#", 0x21:"4$", 0x22:"5%", 0x23:"6^", 0x24:"7&", 0x25:"8*", 0x26:"9(", 0x27:"0)", 0x2C:" ", 0x2D:"-_", 0x2E:"=+", 0x2F:"[{", 0x30:"]}", 0x32:"#~", 0x33:";:", 0x34:"'\"", 0x36:",<", 0x37:".>", 0x4f:">", 0x50:"<" } buff = "" pos = 0 for x in open("strokes","r").readlines(): x = x.strip() if not x: continue code = int(x[4:6],16) if code == 0: continue if code == 0x28: buff += "[ENTER]" continue if int(x[0:2],16) == 2 or int(x[0:2],16) == 0x20: buff += usb_codes[code][1] else: buff += usb_codes[code][0] print(buff)

28.764706

69

0.474438

150

978

3.066667

0.74

0.052174

0.021739

0.026087

0.034783

0

0.210733

0.218814

978

33

70

29.636364

0.391361

0.021472

0

0.111111

0

0.139121

0

0.209205

0

1

0

false

0

0.037037

0

null

0

1

0

1

0

null

0

2

a50618df62098357329e3f13f260013ab38c4a27

1,410

py

Python

problems/easy.py

mrcoles/coding-bee

04cc5bc8dae92640fc8f01501b3f93e18a2a34c5

[ "MIT" ]

1

2021-07-26T18:29:16.000Z

problems/easy.py

recursecenter/coding-bee

04cc5bc8dae92640fc8f01501b3f93e18a2a34c5

[ "MIT" ]

null

problems/easy.py

recursecenter/coding-bee

04cc5bc8dae92640fc8f01501b3f93e18a2a34c5

[ "MIT" ]

3

2018-06-25T19:10:47.000Z

2018-09-17T10:43:31.000Z

# original problems def easy_sum(a, b): """Takes two numbers and returns their sum""" return a + b def easy_product(a, b): """Takes two numbers and returns their product""" return a * b def easy_concat(a, b): """Takes two strings and returns their concatenation""" return a + b def easy_emptylist(l): """Takes a list and returns True for empty list, False for nonempty""" return not l def easy_iseven(x): """Takes a number and returns True if it's even, otherwise False""" return x % 2 == 0 def easy_and(b1, b2): "Takes two booleans and returns their AND" return b1 and b2 def easy_or(b1, b2): """Takes two booleans and returns their OR""" return b1 or b2 def easy_lt(a, b): """Takes two numbers and return whether num1 is less than num2""" return a < b # new sp2 2018 def easy_contains(a, b): """Takes in 2 non-empty strings and returns True if the first value contains a substring that matches the second value.""" return b in a def easy_helloname(a): """Takes in a string representing a name and returns a new string saying hello in a very specific format, e.g., if the name is 'Dave', it should return 'Hello, Dave!'""" return 'Hello, {}!'.format(a) def easy_iscat(a): """Takes in a string and returns 'meow' if it is the exact string 'cat', otherwise 'woof'.""" return 'meow' if a == 'cat' else 'woof'

30

173

0.66383

236

1,410

3.919492

0.338983

0.083243

0.037838

0.043243

0.247568

0.166486

0.144865

0

0.016544

0.228369

1,410

46

174

30.652174

0.83364

0.568794

0

0.086957

0

0.102349

0

1

0.478261

false

0

0.956522

0

null

0

null

0

1

0

1

0

2

eb5a9418501c2901672aa9f163fdc2b0ebe0e845

1,032

py

Python

src/telliot_core/queries/snapshot.py

tellor-io/telliot-core

e2b6cb3486e1aa796bd4d14147bd18d300191492

[ "MIT" ]

9

2021-12-15T07:03:34.000Z

2022-03-30T20:16:45.000Z

src/telliot_core/queries/snapshot.py

tellor-io/telliot-core

e2b6cb3486e1aa796bd4d14147bd18d300191492

[ "MIT" ]

76

2021-11-11T10:06:11.000Z

2022-03-30T18:50:48.000Z

src/telliot_core/queries/snapshot.py

tellor-io/telliot-core

e2b6cb3486e1aa796bd4d14147bd18d300191492

[ "MIT" ]

7

2021-12-17T03:39:23.000Z

2022-03-29T08:53:43.000Z

import logging from dataclasses import dataclass from telliot_core.dtypes.value_type import ValueType from telliot_core.queries.abi_query import AbiQuery logger = logging.getLogger(__name__) @dataclass class Snapshot(AbiQuery): """Returns the result for a given option ID (a specific proposal) on Snapshot. An array of values representing the amount of votes (uints) for each vote option should be returned Attributes: proposal_id: Specifies the requested data a of a valid proposal on Snapshot. see https://docs.snapshot.org/graphql-api for reference """ proposal_id: str #: ABI used for encoding/decoding parameters abi = [{"name": "proposal_id", "type": "string"}] @property def value_type(self) -> ValueType: """Data type returned for a Snapshot query. - `uint256[]`: variable-length array of 256-bit values with 18 decimals of precision - `packed`: false """ return ValueType(abi_type="uint256[]", packed=False)

28.666667

107

0.694767

133

1,032

5.293233

0.578947

0.042614

0

0.013682

0.22093

1,032

35

108

29.485714

0.86194

0.510659

0

0.076577

0

1

0.083333

false

0

0.333333

0

0.75

0

null

0

null

0

1

0

1

0

2

eb6802390641aaf06fceb753f88bd100dfda7697

2,162

py

Python

rally/plugins/openstack/scenarios/zaqar/utils.py

varuntiwari27/rally

948fba0e8fe8214dd3716451d2a52e014a4115be

[ "Apache-2.0" ]

1

2018-01-01T00:43:41.000Z

rally/plugins/openstack/scenarios/zaqar/utils.py

noah8713/rally-ovs

2434787c2cf4ca267108966c4ddc55ded3c333d9

[ "Apache-2.0" ]

1

2020-07-14T11:29:31.000Z

rally/plugins/openstack/scenarios/zaqar/utils.py

noah8713/rally-ovs

2434787c2cf4ca267108966c4ddc55ded3c333d9

[ "Apache-2.0" ]

1

2020-06-05T10:06:37.000Z

# Copyright (c) 2014 Red Hat, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to 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 rally.plugins.openstack import scenario from rally.task import atomic class ZaqarScenario(scenario.OpenStackScenario): """Base class for Zaqar scenarios with basic atomic actions.""" @atomic.action_timer("zaqar.create_queue") def _queue_create(self, **kwargs): """Create a Zaqar queue with random name. :param kwargs: other optional parameters to create queues like "metadata" :returns: Zaqar queue instance """ name = self.generate_random_name() return self.clients("zaqar").queue(name, **kwargs) @atomic.action_timer("zaqar.delete_queue") def _queue_delete(self, queue): """Removes a Zaqar queue. :param queue: queue to remove """ queue.delete() def _messages_post(self, queue, messages, min_msg_count, max_msg_count): """Post a list of messages to a given Zaqar queue. :param queue: post the messages to queue :param messages: messages to post :param min_msg_count: minimum number of messages :param max_msg_count: maximum number of messages """ with atomic.ActionTimer(self, "zaqar.post_between_%s_and_%s_messages" % (min_msg_count, max_msg_count)): queue.post(messages) @atomic.action_timer("zaqar.list_messages") def _messages_list(self, queue): """Gets messages from a given Zaqar queue. :param queue: get messages from queue :returns: messages iterator """ return queue.messages()

34.31746

79

0.672525

282

2,162

5.039007

0.432624

0.042224

0.03589

0.046446

0.078818

0.042224

0

0.004887

0.242831

2,162

62

80

34.870968

0.863164

0.534228

0

0.113716

0.043376

0

1

0.235294

false

0

0.117647

0

0.529412

0

null

0

null

0

1

0

1

0

2

eb7438a64c922f1691f5f7bc0e7e1d03e74aaef5

1,705

py

Python

tests/pricehunt_test.py

adipid/pricehunt-py

095e29f14a4761644b5e35df6c7ca4416eb62331

[ "MIT" ]

null

tests/pricehunt_test.py

adipid/pricehunt-py

095e29f14a4761644b5e35df6c7ca4416eb62331

[ "MIT" ]

10

2020-01-15T09:29:11.000Z

2020-05-22T16:40:27.000Z

tests/pricehunt_test.py

adipid/pricehunt-py

095e29f14a4761644b5e35df6c7ca4416eb62331

[ "MIT" ]

null

import json import os import unittest import price_checker from product import Product def load_json(filename): with open(filename) as json_file: imported_file = json.load(json_file) return imported_file cwd = os.path.dirname(os.path.realpath(__file__)) products_data = load_json(r"" + cwd + "/test-products.json") products_list = [] class PricehuntTest(unittest.TestCase): def setUp(self): for i in range(len(products_data)): products_list.append(Product(products_data[i])) def test_correct_product0(self): self.assertEqual("Logitech MX Master 3", products_list[0].name) def test_correct_product1(self): self.assertEqual("Logitech MX Keys", products_list[1].name) def test_correct_product2(self): self.assertEqual("Apple Watch Series 5 Cellular 44mm", products_list[2].name) def test_lowest_price_product0(self): self.assertEqual("1149", products_list[0].price) def test_compare_price_product0(self): diff = price_checker.compare_prices(products_list[0].price, products_list[0].purchased_price) self.assertEqual("50", diff) def test_open_policyFalse(self): self.assertFalse(price_checker.open_policy(61, "Komplett.no")) def test_open_policyTrue0(self): self.assertTrue(price_checker.open_policy(60, "Komplett.no")) def test_open_policyTrue1(self): self.assertTrue(price_checker.open_policy(10, "Komplett.no")) # def test_add_product(self): # self.fail() # # def test_remove_product(self): # self.fail() # # def test_get_list(self): # self.fail() if __name__ == '__main__': unittest.main()

27.063492

101

0.693842

223

1,705

5.022422

0.363229

0.06875

0.067857

0.058929

0.207143

0.117857

0.071429

0

0.02106

0.192375

1,705

62

102

27.5

0.792302

0.076833

0

0.086901

0

0.228571

1

0.285714

false

0

0.2

0

0.542857

0

null

0

null

0

1

0

1

0

2

eb80f35fa4930ec027c824efa7f754f7ff93b76c

251

py

Python

m2py/thermo/__init__.py

caiorss/m2py

4a8f754f04adb151b1967fe13b8f80b4ec169560

[ "BSD-3-Clause" ]

13

2016-12-10T22:03:18.000Z

2021-11-27T11:55:41.000Z

m2py/thermo/__init__.py

caiorss/m2py

4a8f754f04adb151b1967fe13b8f80b4ec169560

[ "BSD-3-Clause" ]

null

m2py/thermo/__init__.py

caiorss/m2py

4a8f754f04adb151b1967fe13b8f80b4ec169560

[ "BSD-3-Clause" ]

3

2017-04-02T00:21:24.000Z

2021-08-19T14:11:23.000Z

""" Thermodynamic function collection * Steam tables - module steam """ import os import sys this = os.path.dirname(os.path.abspath(__file__)) path_dir = os.path.join(this, "..") sys.path.append(path_dir) from . import xsteam from . import gas

16.733333

49

0.717131

36

251

4.833333

0.555556

0.103448

0

0.151394

251

15

50

16.733333

0.816901

0.270916

0

0.011429

0

1

0

false

0

0.571429

0

0.571429

0

null

0

null

0

1

0

1

0

2

eb8fa34f6b204cef1701b2e9f71c854c05d7f905

2,098

py

Python

Chapter08/lecture02.py

ee06b056/IntoToProgramInPython

86f81bb61832ebf043c5f79f6e6262ecee36e02f

[ "MIT" ]

null

Chapter08/lecture02.py

ee06b056/IntoToProgramInPython

86f81bb61832ebf043c5f79f6e6262ecee36e02f

[ "MIT" ]

null

Chapter08/lecture02.py

ee06b056/IntoToProgramInPython

86f81bb61832ebf043c5f79f6e6262ecee36e02f

[ "MIT" ]

null

import datetime class Person(object): def __init__(self, name): self.name = name try: lastBlank = name.rindex(' ') self.lastName = name[lastBlank+1:] except: self.lastName = name self.birthday = None def getName(self): return self.name def getLastName(self): return self.lastName def setBirthday(self, birthday): self.birthday = birthday def getAge(self): if self.birthday == None: raise ValueError return (datetime.date.today() - self.birthday).days def __lt__(self, other): if self.lastName == other.lastName: return self.name < other.name return self.lastName < other.lastName def __str__(self): return self.name class MITPerson(Person): nextIdNum = 0 def __init__(self,name): Person.__init__(self, name) self.idNum = MITPerson.nextIdNum MITPerson.nextIdNum += 1 def getIdNum(self): return self.idNum def __lt__(self, other): return self.idNum < other.idNum class Student(MITPerson): pass class UG(Student): def __init__(self, name, classYear): Student.__init__(self, name) self.year = classYear def getClass(self): return self.year class Grad(Student): pass class TransferStudent(Student): def __init__(self, name, fromSchool): Student.__init__(self, name) self.fromSchool = fromSchool def getOldSchool(self): return self.fromSchool class Grades(object): def __init__(self): self.students = [] p5 = Grad('Buzz Aldrin') p6 = UG('Billy Beaver', 1984) print(p5) print(type(p5)==Grad) print(p6, type(p6) == UG) print(UG) me = Person('Michale Guttag') him = Person('Barack Hussein Obama') her = Person('Madonna') print(him.getLastName()) him.setBirthday(datetime.date(1961,8,4)) her.setBirthday(datetime.date(1958, 8, 16)) p1 = MITPerson('Barbara Beaver') print(str(p1) + '\'s id number is ' + str(p1.getIdNum()))

21.191919

59

0.613441

246

2,098

5.052846

0.313008

0.070796

0.067578

0.04827

0.072405

0

0.018979

0.271687

2,098

99

60

21.191919

0.794503

0

0.144928

0

0.038113

0

1

0.217391

false

0.028986

0.014493

0.101449

0.492754

0.086957

0

null

0

null

0

1

0

1

0

2

ebb01965890ba34194c2cbeef67583eacd7e6263

132

py

Python

block_2/task_3.py

erdyneevzt/stepik_python

014fb618426dbee7f76b317c539d7d0363c87d15

[ "MIT" ]

null

block_2/task_3.py

erdyneevzt/stepik_python

014fb618426dbee7f76b317c539d7d0363c87d15

[ "MIT" ]

null

block_2/task_3.py

erdyneevzt/stepik_python

014fb618426dbee7f76b317c539d7d0363c87d15

[ "MIT" ]

null

i = 1 while i != 0: i = int(input()) if i > 100: break elif i < 10: continue else: print(i)

13.2

20

0.409091

19

132

2.842105

0.736842

0

0.1

0.469697

132

9

21

14.666667

0.671429

0

1

0

false

0

0.111111

1

0

null

0

1

0

null

0

2

ebc1fde7f5eab4850e52e3032a953a70b9dcfd1e

161

py

Python

Python/1170.py

alinemarchiori/URI_Exercises_Solved

957681174207388fdb54d6d1a945303ba1ad18f3

[ "MIT" ]

null

Python/1170.py

alinemarchiori/URI_Exercises_Solved

957681174207388fdb54d6d1a945303ba1ad18f3

[ "MIT" ]

null

Python/1170.py

alinemarchiori/URI_Exercises_Solved

957681174207388fdb54d6d1a945303ba1ad18f3

[ "MIT" ]

null

n = int(input()) for i in range(n): dias = 0 valor = float(input()) while valor>1: valor = valor/2 dias += 1 print(dias, "dias")

20.125

26

0.503106

24

161

3.375

0.625

0

0.037736

0.341615

161

8

27

20.125

0.726415

0

0.024691

0

1

0

false

0

0.125

1

0

null

0

1

0

null

0

2

ebcfcb17f63d054cbc04f8aa3f5d779478dc0425

1,486

py

Python

plastiqpublicapi/models/client_secrets_response.py

jeffkynaston/sdk-spike-python-apimatic

e1ca52116aabfcdb2f36c24ebd866cf00bb5c6c9

[ "MIT" ]

null

plastiqpublicapi/models/client_secrets_response.py

jeffkynaston/sdk-spike-python-apimatic

e1ca52116aabfcdb2f36c24ebd866cf00bb5c6c9

[ "MIT" ]

null

plastiqpublicapi/models/client_secrets_response.py

jeffkynaston/sdk-spike-python-apimatic

e1ca52116aabfcdb2f36c24ebd866cf00bb5c6c9

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ plastiqpublicapi This file was automatically generated by APIMATIC v3.0 ( https://www.apimatic.io ). """ class ClientSecretsResponse(object): """Implementation of the 'Client Secrets Response' model. TODO: type model description here. Attributes: client_secret (string): Client Secret returned by /client-secrets """ # Create a mapping from Model property names to API property names _names = { "client_secret": 'clientSecret' } def __init__(self, client_secret=None): """Constructor for the ClientSecretsResponse class""" # Initialize members of the class self.client_secret = client_secret @classmethod def from_dictionary(cls, dictionary): """Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary representation of the object as obtained from the deserialization of the server's response. The keys MUST match property names in the API description. Returns: object: An instance of this structure class. """ if dictionary is None: return None # Extract variables from the dictionary client_secret = dictionary.get('clientSecret') # Return an object of this model return cls(client_secret)

26.535714

79

0.612382

156

1,486

5.75

0.487179

0.107023

0.035674

0

0.002973

0.320996

1,486

55

80

27.018182

0.886026

0.559892

0

1

0

0.074597

0

0.018182

0

1

0.142857

false

0

0.428571

0

null

0

1

0

null

0

1

0

2

690f41b1ee6bc246782b5ae649ded26264526d14

297

py

Python

pipy/tests/test_utils.py

rhsmits91/pipy

b38100203711fad715078a00c6074ea63af06893

[ "MIT" ]

null

pipy/tests/test_utils.py

rhsmits91/pipy

b38100203711fad715078a00c6074ea63af06893

[ "MIT" ]

null

pipy/tests/test_utils.py

rhsmits91/pipy

b38100203711fad715078a00c6074ea63af06893

[ "MIT" ]

null

import pandas as pd from pipy.pipeline.utils import combine_series def test_combine_series(): s1 = pd.Series(dict(zip("AB", (1, 2)))) s2 = pd.Series(dict(zip("BC", (20, 30)))) s3 = combine_series(s1, s2) pd.testing.assert_series_equal(s3, pd.Series({"A": 1, "B": 20, "C": 30}))

27

77

0.636364

50

297

3.66

0.58

0.213115

0.163934

0

0.068826

0.16835

297

10

78

29.7

0.672065

0

0.023569

0

0.142857

1

0.142857

false

0

0.285714

0

0.428571

0

null

1

0

1

0

null

0

2

6915b8ff7cef6d50399ffe88a65761306ce6129d

6,310

py

Python

cephlm/tests/cephmetrics/ceph/test_connectivity_status.py

ArdanaCLM/cephlm

74afbcd078c0c903d9b8102d27c669decb124a38

[ "Apache-2.0" ]

null

cephlm/tests/cephmetrics/ceph/test_connectivity_status.py

ArdanaCLM/cephlm

74afbcd078c0c903d9b8102d27c669decb124a38

[ "Apache-2.0" ]

null

cephlm/tests/cephmetrics/ceph/test_connectivity_status.py

ArdanaCLM/cephlm

74afbcd078c0c903d9b8102d27c669decb124a38

[ "Apache-2.0" ]

null

# (c) Copyright 2016 Hewlett Packard Enterprise Development LP # (c) Copyright 2017 SUSE LLC # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. # import mock import unittest from itertools import count from cephlm.common.exceptions import CephCommandException from cephlm.tests.cephmetrics.ceph.test_data import * # noqa from cephlm.cephmetrics.ceph import cluster from cephlm.utils.values import Severity class TestCluster(unittest.TestCase): def setUp(self): self.monitors = ClusterStatusData.HEALTH_OK['quorum_names'] @mock.patch( 'cephlm.cephmetrics.ceph.cluster.Cluster._verify_monitor_connectivity') @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster.get_monitors') def test_connectivity_ok(self, mock_get_mon, mock_conn_status): mock_get_mon.return_value = self.monitors mock_conn_status.return_value = (self.monitors, []) result = cluster.Cluster.check_monitor_connectivity() self.assertEqual(str(result), 'Monitors %s are reachable.' % ', '.join(mock_conn_status.return_value[0])) self.assertEqual(result.value, Severity.ok) @mock.patch( 'cephlm.cephmetrics.ceph.cluster.Cluster._verify_monitor_connectivity') @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster.get_monitors') def test_connectivity_warn(self, mock_get_mon, mock_conn_status): mock_get_mon.return_value = self.monitors mock_conn_status.return_value = (self.monitors[:2], self.monitors[2:]) result = cluster.Cluster.check_monitor_connectivity() self.assertEqual(str(result), 'Monitor(s) %s is/are unreachable.' % ', '.join(mock_conn_status.return_value[1])) self.assertEqual(result.value, Severity.warn) @mock.patch( 'cephlm.cephmetrics.ceph.cluster.Cluster._verify_monitor_connectivity') @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster.get_monitors') def test_connectivity_failure(self, mock_get_mon, mock_conn_status): mock_get_mon.return_value = self.monitors mock_conn_status.return_value = ([], self.monitors) result = cluster.Cluster.check_monitor_connectivity() self.assertEqual(str(result), 'Monitor(s) %s is/are unreachable.' % ', '.join(mock_conn_status.return_value[1])) self.assertEqual(result.value, Severity.fail) @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster.get_monitors') def test_connectivity_unknown_error_cmd(self, mock_get_mon): msg = "No such file or directory" mock_get_mon.side_effect = CephCommandException(msg) result = cluster.Cluster.check_monitor_connectivity() self.assertEqual(str(result), 'Probe error: %s.' % msg) self.assertEqual(result.value, Severity.unknown) @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster._get_ceph_config') @mock.patch.object(cluster, 'rados') def test_verify_connectivity_ok(self, mock_rados, mock_get_ceph_config): class DummyRados: def __init__(self, clustername, conffile): pass def __enter__(self): return self def __exit__(self, type_, value, traceback): return False def mon_command(self, cmd, inbuf, timeout, target): return 0, '', '' mock_get_ceph_config.return_value = ('ceph', 'config', '/etc/ceph/ceph.conf') mock_rados.Rados = DummyRados result = cluster.Cluster._verify_monitor_connectivity(self.monitors) self.assertEqual(result[0], self.monitors) self.assertEqual(len(result[1]), 0) @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster._get_ceph_config') @mock.patch.object(cluster, 'rados') def test_verify_connectivity_error_all(self, mock_rados, mock_get_ceph_config): class DummyRados: def __init__(self, clustername, conffile): pass def __enter__(self): return self def __exit__(self, type_, value, traceback): return False def mon_command(self, cmd, inbuf, timeout, target): return -4, '', '' mock_get_ceph_config.return_value = ('ceph', 'config', '/etc/ceph/ceph.conf') mock_rados.Rados = DummyRados result = cluster.Cluster._verify_monitor_connectivity(self.monitors) self.assertEqual(len(result[0]), 0) self.assertEqual(result[1], self.monitors) @mock.patch('cephlm.cephmetrics.ceph.cluster.Cluster._get_ceph_config') @mock.patch.object(cluster, 'rados') def test_verify_connectivity_error_one(self, mock_rados, mock_get_ceph_config): class DummyRados: _ids = count(0) def __init__(self, clustername, conffile): self.id = DummyRados._ids.next() def __enter__(self): return self def __exit__(self, type_, value, traceback): return False def mon_command(self, cmd, inbuf, timeout, target): if self.id == 0: return (-4, '', '') else: return (0, '', '') mock_get_ceph_config.return_value = ('ceph', 'config', '/etc/ceph/ceph.conf') mock_rados.Rados = DummyRados result = cluster.Cluster._verify_monitor_connectivity(self.monitors) self.assertEqual(result[0], self.monitors[1:]) self.assertEqual(result[1], [self.monitors[0]])

41.788079

79

0.640571

721

6,310

5.359223

0.226075

0.061594

0.059783

0.067288

0.729814

0.704451

0.670807

0.659161

0

0.007053

0.258479

6,310

150

80

42.066667

0.818765

0.09683

0

0.609091

0

0.146603

0.102077

0

0.127273

1

0.181818

false

0.018182

0.063636

0.072727

0.372727

0

null

0

1

0

1

0

null

0

2

692623edabe9f0e78683e1958531eb7c61cfa0f0

25,868

py

Python

src/mightypy/ml/_tree.py

NishantBaheti/mightypy

8219ae5cfc462e02f04bec6bdd7e3751b57d2a25

[ "MIT" ]

1

2022-02-03T19:32:45.000Z

src/mightypy/ml/_tree.py

NishantBaheti/mightypy

8219ae5cfc462e02f04bec6bdd7e3751b57d2a25

[ "MIT" ]

null

src/mightypy/ml/_tree.py

NishantBaheti/mightypy

8219ae5cfc462e02f04bec6bdd7e3751b57d2a25

[ "MIT" ]

null

from __future__ import annotations from typing import Union, Tuple, List import warnings import numpy as np class Question: """Question is a thershold/matching concept for splitting the node of the Decision Tree Args: column_index (int): Column index to be chosen from the array passed at the matching time. value (Union[int, str, float, np.int64, np.float64]): Threshold value/ matching value. header (str): column/header name. """ def __init__(self, column_index: int, value: Union[int, str, float, np.int64, np.float64], header: str): """Constructor """ self.column_index = column_index self.value = value self.header = header def match(self, example: Union[list, np.ndarray]) -> bool: """Matching function to decide based on example whether result is true or false. Args: example (Union[list, np.ndarray]): Example to compare with question parameters. Returns: bool: if the example is in threshold or value matches then results true or false. """ if isinstance(example, list): example = np.array(example, dtype="O") val = example[self.column_index] # adding numpy int and float data types as well if isinstance(val, (int, float, np.int64, np.float64)): # a condition for question to return True or False for numeric value return float(val) >= float(self.value) else: return str(val) == str(self.value) # categorical data comparison def __repr__(self): condition = "==" if isinstance(self.value, (int, float, np.int64, np.float64)): condition = ">=" return f"Is {self.header} {condition} {self.value} ?" class Node: """A Tree node either Decision Node or Leaf Node Args: question (Question, optional): question object. Defaults to None. true_branch (Node, optional): connection to node at true side of the branch. Defaults to None. false_branch (Node, optional): connection to node at false side of the branch. Defaults to None. uncertainty (float, optional): Uncertainty value like gini,entropy,variance etc. Defaults to None. leaf_value (Union[dict,int,float], optional): Leaf node/final node's value. Defaults to None. """ def __init__(self, question: Question = None, true_branch: Node = None, false_branch: Node = None, uncertainty: float = None, *, leaf_value: Union[dict, int, float] = None): """Constructor """ self.question = question self.true_branch = true_branch self.false_branch = false_branch self.uncertainty = uncertainty self.leaf_value = leaf_value @property def _is_leaf_node(self) -> bool: """Check if this node is leaf node or not. Returns: bool: True if leaf node else false. """ return self.leaf_value is not None class DecisionTreeClassifier: """Decision Tree Based Classification Model Args: max_depth (int, optional): max depth of the tree. Defaults to 100. min_samples_split (int, optional): min size of the sample at the time of split. Defaults to 2. criteria (str, optional): what criteria to use for information. Defaults to 'gini'. available 'gini','entropy'. """ def __init__(self, max_depth: int = 100, min_samples_split: int = 2, criteria: str = 'gini'): """Constructor """ self._X = None self._y = None self._feature_names = None self._target_name = None self._tree = None self.max_depth = max_depth self.min_samples_split = min_samples_split self.criteria = criteria def _count_dict(self, a: np.ndarray) -> dict: """Count class frequecies and get a dictionary from it Args: a (np.ndarray): input array. shape should be (m,1) for m samples. Returns: dict: categories/classes freq dictionary. """ unique_values = np.unique(a, return_counts=True) zipped = zip(*unique_values) dict_obj = dict(zipped) return dict_obj def _gini_impurity(self, arr: np.ndarray) -> float: """Calculate Gini Impurity Args: arr (np.ndarray): input array. Returns: float: gini impurity value. """ classes, counts = np.unique(arr, return_counts=True) gini_score = 1 - np.square(counts / arr.shape[0]).sum(axis=0) return gini_score def _entropy(self, arr: np.ndarray) -> float: """Calculate Entropy Args: arr (np.ndarray): input array. Returns: float: entropy result. """ classes, counts = np.unique(arr, return_counts=True) p = counts / arr.shape[0] entropy_score = (-p * np.log2(p)).sum(axis=0) return entropy_score def _uncertainty(self, a: np.ndarray) -> float: """calcualte uncertainty Args: a (np.ndarray): input array Returns: float: uncertainty value """ if self.criteria == "entropy": value = self._entropy(a) elif self.criteria == "gini": value = self._gini_impurity(a) else: warnings.warn(f"{self.criteria} is not coded yet. returning to gini.") value = self._gini_impurity(a) return value def _partition(self, rows: np.ndarray, question: Union[Question, None]) -> Tuple[list, list]: """partition the rows based on the question Args: rows (np.ndarray): input array to split. question (Question): question object containing spltting concept. Returns: Tuple[list,list]: true idxs and false idxs. """ true_idx, false_idx = [], [] for idx, row in enumerate(rows): if question.match(row): true_idx.append(idx) else: false_idx.append(idx) return true_idx, false_idx def _info_gain(self, left: np.ndarray, right: np.ndarray, parent_uncertainty: float) -> float: """Calculate information gain after splitting Args: left (np.ndarray): left side array. right (np.ndarray): right side array. parent_uncertainty (float): parent node Uncertainity. Returns: flaot: information gain value. """ # calculating portion/ partition/ weightage pr = left.shape[0] / (left.shape[0] + right.shape[0]) # calcualte child uncertainity child_uncertainty = pr * \ self._uncertainty(left) - (1 - pr) * self._uncertainty(right) # calculate information gain info_gain_value = parent_uncertainty - child_uncertainty return info_gain_value def _find_best_split(self, X: np.ndarray, y: np.ndarray) -> Tuple[float, Union[Question, None], float]: """method to find best split possible for the sample Args: X (np.ndarray): Feature matrix. y (np.ndarray): target matrix. Returns: Tuple[float,Union[Question,None],float]: maximum gain from the split, best question of it, and parent node uncertainty. """ max_gain = -1 best_split_question = None parent_uncertainty = self._uncertainty(y) m_samples, n_labels = X.shape for col_index in range(n_labels): # iterate over feature columns # get unique values from the feature unique_values = np.unique(X[:, col_index]) for val in unique_values: # check for every value and find maximum info gain ques = Question( column_index=col_index, value=val, header=self._feature_names[col_index] ) t_idx, f_idx = self._partition(X, ques) # if it does not split the data # skip it if len(t_idx) == 0 or len(f_idx) == 0: continue true_y = y[t_idx, :] false_y = y[f_idx, :] # get information gain gain = self._info_gain(true_y, false_y, parent_uncertainty) if gain > max_gain: max_gain, best_split_question = gain, ques return max_gain, best_split_question, parent_uncertainty def _build_tree(self, X: np.ndarray, y: np.ndarray, depth: int = 0) -> Node: """Recursive funtion to build tree. Args: X (np.ndarray): input features matrix. y (np.ndarray): target matrix. depth (int, optional): depth count of the recursion. Defaults to 0. Returns: Node: either leaf node or decision node """ m_samples, n_labels = X.shape # if depth is greater than max depth defined or labels/features are left to 1 # or number of samples are less than the minimum size of samples to split then # stop recursion and return a node if (depth > self.max_depth or n_labels == 1 or m_samples < self.min_samples_split): return Node(leaf_value=self._count_dict(y)) gain, ques, uncertainty = self._find_best_split(X, y) # if gain is zero # then no point grinding further here if gain < 0: return Node(leaf_value=self._count_dict(y)) t_idx, f_idx = self._partition(X, ques) # get partition idxs true_branch = self._build_tree( X[t_idx, :], y[t_idx, :], depth + 1) # recog true branch samples false_branch = self._build_tree( X[f_idx, :], y[f_idx, :], depth + 1) # recog false branch samples return Node( question=ques, true_branch=true_branch, false_branch=false_branch, uncertainty=uncertainty ) def train(self, X: Union[np.ndarray, list], y: Union[np.ndarray, list], feature_name: list = None, target_name: list = None) -> None: """Train the model Args: X (Union[np.ndarray,list]): feature matrix. y (Union[np.ndarray,list]): target matrix. feature_name (list, optional): feature names list. Defaults to None. target_name (list, optional): target name list. Defaults to None. """ X = np.array(X, dtype='O') if not isinstance( X, (np.ndarray)) else X # converting to numpy array y = np.array(y, dtype='O') if not isinstance( y, (np.ndarray)) else y # converting to numpy array # reshaping to vectors self._X = X.reshape(-1, 1) if len(X.shape) == 1 else X self._y = y.reshape(-1, 1) if len(y.shape) == 1 else y # creating feature names if not mentioned self._feature_names = feature_name or [ f"C_{i}" for i in range(self._X.shape[1])] # creating target name if not mentioned self._target_name = target_name or ['target'] # BOOOM # building the tree self._tree = self._build_tree( X=self._X, y=self._y ) def print_tree(self, node: Union[Node, None] = None, spacing: str = "|-") -> None: """print the tree Args: node (Union[Node,None], optional): starting node. Defaults to None. then it will go to the root node of the tree. spacing (str, optional): printing separater. Defaults to "|-". """ node = node or self._tree if node._is_leaf_node: print(spacing, " Predict :", node.leaf_value) return # Print the question at this node print(spacing + str(node.question) + " | " + self.criteria + " :" + str(node.uncertainty)) # Call this function recursively on the true branch print(spacing + '--> True:') self.print_tree(node.true_branch, " " + spacing + "-") # Call this function recursively on the false branch print(spacing + '--> False:') self.print_tree(node.false_branch, " " + spacing + "-") def _classification(self, row: np.ndarray, node: Union[Node, None]) -> Union[dict]: """Classification recursive function Args: row (np.ndarray): input matrix. node (Union[Node,None]): node to start with. mostly root node. rest will be handled by recursion. Returns: Union[dict]: leaf value. classification result. """ if node._is_leaf_node: return node.leaf_value if node.question.match(row): return self._classification(row, node.true_branch) else: return self._classification(row, node.false_branch) def _leaf_probabilities(self, results: dict) -> dict: """get probabilties Args: results (dict): results from _classification. Returns: dict: dictionary with categorical probabilities. """ total = sum(results.values()) probs = {} for key in results: probs[key] = (results[key] / total) * 100 return probs def predict(self, X: Union[np.ndarray, list]) -> np.ndarray: """predict classification results Args: X (Union[np.ndarray,list]): testing matrix. Raises: ValueError: input X can only be a list or numpy array. Returns: np.ndarray: results of classification. """ if isinstance(X, (np.ndarray, list)): X = np.array(X, dtype='O') if not isinstance(X, (np.ndarray)) else X if len(X.shape) == 1: max_result = 0 result_dict = self._classification(row=X, node=self._tree) result = None for key in result_dict: if result_dict[key] > max_result: result = key return np.array([[result]], dtype='O') else: leaf_value = [] # get maximum caterigorical value from all catergories for row in X: max_result = 0 result_dict = self._classification(row=row, node=self._tree) result = None for key in result_dict: if result_dict[key] > max_result: result = key leaf_value.append([result]) return np.array(leaf_value, dtype='O') else: raise ValueError("X should be list or numpy array") def predict_probability(self, X: Union[np.ndarray, list]) -> Union[np.ndarray, dict]: """predict classfication probabilities Args: X (Union[np.ndarray,list]): testing matrix. Raises: ValueError: input X can only be a list or numpy array. Returns: Union[np.ndarray, dict]: probabity results of classification. """ if isinstance(X, (np.ndarray, list)): X = np.array(X, dtype='O') if not isinstance(X, (np.ndarray)) else X if len(X.shape) == 1: return self._leaf_probabilities(self._classification(row=X, node=self._tree)) else: leaf_value = [] for row in X: leaf_value.append([self._leaf_probabilities( self._classification(row=row, node=self._tree))]) return np.array(leaf_value, dtype='O') else: raise ValueError("X should be list or numpy array") class DecisionTreeRegressor: """Decision Tree Based Regression Model Args: max_depth (int, optional): maximum depth of the tree. Defaults to 10. min_samples_split (int, optional): minimum number of samples while splitting. Defaults to 3. criteria (str, optional): criteria for best info gain. Defaults to 'variance'. """ def __init__(self, max_depth: int = 10, min_samples_split: int = 3, criteria: str = 'variance'): """constructor """ self._X = None self._y = None self._feature_names = None self._target_name = None self._tree = None self.max_depth = max_depth self.min_samples_split = min_samples_split self.criteria = criteria def _mean_leaf_value(self, a: np.ndarray) -> float: """leaf values mean Args: a (np.ndarray): input array. Returns: float: mean value """ return float(np.mean(a)) def _partition(self, rows: np.ndarray, question: Union[Question, None]) -> Tuple[list, list]: """partition the rows based on the question Args: rows (np.ndarray): input array to split. question (Question): question object containing spltting concept. Returns: Tuple[list,list]: true idxs and false idxs. """ true_idx, false_idx = [], [] for idx, row in enumerate(rows): if question.match(row): true_idx.append(idx) else: false_idx.append(idx) return true_idx, false_idx def _uncertainty(self, a: np.ndarray) -> float: """calcualte uncertainty Args: a (np.ndarray): input array Returns: float: uncertainty value """ if self.criteria == "variance": value = np.var(a) else: warnings.warn(f"{self.criteria} is not coded yet. returning to variance.") value = np.var(a) return float(value) def _info_gain(self, left: np.ndarray, right: np.ndarray, parent_uncertainty: float) -> float: """Calculate information gain after splitting Args: left (np.ndarray): left side array. right (np.ndarray): right side array. parent_uncertainty (float): parent node Uncertainity. Returns: flaot: information gain value. """ pr = left.shape[0] / (left.shape[0] + right.shape[0]) child_uncertainty = pr * \ self._uncertainty(left) - (1 - pr) * self._uncertainty(right) info_gain_value = parent_uncertainty - child_uncertainty return info_gain_value def _find_best_split(self, X: np.ndarray, y: np.ndarray) -> Tuple[float, Union[Question, None], float]: """method to find best split possible for the sample Args: X (np.ndarray): Feature matrix. y (np.ndarray): target matrix. Returns: Tuple[float,Union[Question,None],float]: maximum gain from the split, best question of it, and parent node uncertainty """ max_gain = -1 best_split_question = None parent_uncertainty = self._uncertainty(y) m_samples, n_labels = X.shape for col_index in range(n_labels): # iterate over feature columns # get unique values from the feature unique_values = np.unique(X[:, col_index]) for val in unique_values: # check for every value and find maximum info gain ques = Question( column_index=col_index, value=val, header=self._feature_names[col_index] ) t_idx, f_idx = self._partition(X, ques) # if it does not split the data # skip it if len(t_idx) == 0 or len(f_idx) == 0: continue true_y = y[t_idx, :] false_y = y[f_idx, :] gain = self._info_gain(true_y, false_y, parent_uncertainty) if gain > max_gain: max_gain, best_split_question = gain, ques return max_gain, best_split_question, parent_uncertainty def _build_tree(self, X: np.ndarray, y: np.ndarray, depth: int = 0) -> Node: """Recursive funtion to build tree Args: X (np.ndarray): input features matrix. y (np.ndarray): target matrix. depth (int, optional): depth count of the recursion. Defaults to 0. Returns: Node: either leaf node or decision node """ m_samples, n_labels = X.shape # if depth is greater than max depth defined or labels/features are left to 1 # or number of samples are less than the minimum size of samples to split then # stop recursion and return a node if (depth > self.max_depth or n_labels == 1 or m_samples < self.min_samples_split): return Node(leaf_value=y) gain, ques, uncertainty = self._find_best_split(X, y) # if gain is zero no point in going further if gain < 0: return Node(leaf_value=y) t_idx, f_idx = self._partition(X, ques) true_branch = self._build_tree( X[t_idx, :], y[t_idx, :], depth + 1) # get true samples false_branch = self._build_tree( X[f_idx, :], y[f_idx, :], depth + 1) # get false samples return Node( question=ques, true_branch=true_branch, false_branch=false_branch, uncertainty=uncertainty ) def train(self, X: Union[np.ndarray, list], y: Union[np.ndarray, list], feature_name: list = None, target_name: list = None) -> None: """Train the model Args: X (Union[np.ndarray,list]): feature matrix. y (Union[np.ndarray,list]): target matrix. feature_name (list, optional): feature names list. Defaults to None. target_name (list, optional): target name list. Defaults to None. """ X = np.array(X, dtype='O') if not isinstance( X, (np.ndarray)) else X # converting to numpy array y = np.array(y, dtype='O') if not isinstance( y, (np.ndarray)) else y # converting to numpy array # reshaping to vectors self._X = X.reshape(-1, 1) if len(X.shape) == 1 else X self._y = y.reshape(-1, 1) if len(y.shape) == 1 else y # creating feature names if not mentioned self._feature_names = feature_name or [ f"C_{i}" for i in range(self._X.shape[1])] # creating target name if not mentioned self._target_name = target_name or ['target'] # BOOOM # building the tree self._tree = self._build_tree( X=self._X, y=self._y ) def print_tree(self, node: Union[Node, None] = None, spacing: str = "|-", mean_preds: bool = True) -> None: """print the tree Args: node (Union[Node,None], optional): starting node. Defaults to None. then it will go to the root node of the tree. spacing (str, optional): printing separater. Defaults to "|-". mean_preds (bool): do the mean of prediction values. Defaults to True. """ node = node or self._tree if node._is_leaf_node: if mean_preds: print(spacing, " Predict :", self._mean_leaf_value(node.leaf_value)) else: print(spacing, " Predict :", node.leaf_value[...,-1]) return # Print the question at this node print(spacing + str(node.question) + " | " + self.criteria + " :" + str(node.uncertainty)) # Call this function recursively on the true branch print(spacing + '--> True:') self.print_tree(node.true_branch, " " + spacing + "-", mean_preds) # Call this function recursively on the false branch print(spacing + '--> False:') self.print_tree(node.false_branch, " " + spacing + "-", mean_preds) def _regression(self, row: np.ndarray, node: Union[Node, None], mean_preds: bool) -> float: """regression recursive method Args: row (np.ndarray): input matrix. node (Union[Node,None]): node to start with. mostly root node. rest will be handled by recursion. mean_preds (bool): do the mean of prediction values. Returns: float: regression result. """ if node._is_leaf_node: if mean_preds: return self._mean_leaf_value(node.leaf_value) else: return node.leaf_value[...,-1] if node.question.match(row): return self._regression(row, node.true_branch, mean_preds) else: return self._regression(row, node.false_branch, mean_preds) def predict(self, X: np.ndarray, mean_preds: bool = True) -> np.ndarray: """predict regresssion Args: X (np.ndarray): testing matrix. mean_preds (bool): do the mean of prediction values. Defaults to True. Raises: ValueError: X should be list or numpy array Returns: np.ndarray: regression prediction. """ if isinstance(X, (np.ndarray, list)): X = np.array(X, dtype='O') if not isinstance(X, (np.ndarray)) else X if len(X.shape) == 1: result = self._regression(row=X, node=self._tree, mean_preds=mean_preds) return np.array([[result]], dtype='O') else: leaf_value = [] for row in X: result = self._regression(row=row, node=self._tree, mean_preds=mean_preds) leaf_value.append([result]) return np.array(leaf_value, dtype='O') else: raise ValueError("X should be list or numpy array")

36.027855

177

0.57631

3,180

25,868

4.550314

0.089623

0.04727

0.01244

0.014927

0.750173

0.728749

0.693435

0.66047

0.624119

0.607256

0

0.005106

0.326117

25,868

717

178

36.078103

0.824977

0.33497

0

0.695925

0

0.026105

0

1

0.097179

false

0

0.012539

0

0.241379

0.047022

0

null

0

1

0

1

0

null

0

2

692c298ef0d7f8ede22958f68c573f616b9a3b6e

1,443

py

Python

tests/unitary/RewardStream/test_notify_reward_amount.py

AqualisDAO/curve-dao-contracts

beec73a068da8ed01c0f710939dc5adb776d565b

[ "MIT" ]

217

2020-06-24T14:01:21.000Z

2022-03-29T08:35:24.000Z

tests/unitary/RewardStream/test_notify_reward_amount.py

AqualisDAO/curve-dao-contracts

beec73a068da8ed01c0f710939dc5adb776d565b

[ "MIT" ]

25

2020-06-24T09:39:02.000Z

2022-03-22T17:03:00.000Z

tests/unitary/RewardStream/test_notify_reward_amount.py

AqualisDAO/curve-dao-contracts

beec73a068da8ed01c0f710939dc5adb776d565b

[ "MIT" ]

110

2020-07-10T22:45:49.000Z

2022-03-29T02:51:08.000Z

import math import brownie from brownie import chain def test_only_distributor_allowed(alice, stream): with brownie.reverts("dev: only distributor"): stream.notify_reward_amount(10 ** 18, {"from": alice}) def test_retrieves_reward_token(bob, stream, reward_token): stream.notify_reward_amount(10 ** 18, {"from": bob}) post_notify = reward_token.balanceOf(stream) assert post_notify == 10 ** 18 def test_reward_rate_updates(bob, stream): stream.notify_reward_amount(10 ** 18, {"from": bob}) post_notify = stream.reward_rate() assert post_notify > 0 assert post_notify == 10 ** 18 / (86400 * 10) def test_reward_rate_updates_mid_duration(bob, stream): stream.notify_reward_amount(10 ** 18, {"from": bob}) chain.sleep(86400 * 5) # half of the duration # top up the balance to be 10 ** 18 again stream.notify_reward_amount(10 ** 18 / 2, {"from": bob}) post_notify = stream.reward_rate() # should relatively close .00001 seems about good of a heuristic assert math.isclose(post_notify, 10 ** 18 / (86400 * 10), rel_tol=0.00001) def test_period_finish_updates(bob, stream): tx = stream.notify_reward_amount(10 ** 18, {"from": bob}) assert stream.period_finish() == tx.timestamp + 86400 * 10 def test_update_last_update_time(bob, stream): tx = stream.notify_reward_amount(10 ** 18, {"from": bob}) assert stream.last_update_time() == tx.timestamp

29.44898

78

0.701317

207

1,443

4.647343

0.304348

0.045738

0.130977

0.174636

0.503119

0.426195

0.35343

0.269231

0

0.070826

0.178101

1,443

48

79

30.0625

0.740304

0.085239

0

0.259259

0

0.037234

0

0.222222

1

0.222222

false

0

0.111111

0

0.333333

0

null

0

1

0

null

0

1

0

2

693668c88af0cb09907a7eb439d49d83bf0f94fc

253

py

Python

libs/cGeo/setup.py

nodebox/nodebox-pyobjc

31c7a95ca24fffdc8f4523278d4b68c330adea8e

[ "MIT" ]

47

2015-03-14T01:44:09.000Z

2021-11-10T10:28:14.000Z

libs/cGeo/setup.py

nodebox/nodebox-pyobjc

31c7a95ca24fffdc8f4523278d4b68c330adea8e

[ "MIT" ]

4

2015-08-20T20:02:32.000Z

2021-02-10T18:39:11.000Z

libs/cGeo/setup.py

nodebox/nodebox-pyobjc

31c7a95ca24fffdc8f4523278d4b68c330adea8e

[ "MIT" ]

15

2015-03-14T01:44:00.000Z

2020-12-17T16:44:31.000Z

from distutils.core import setup, Extension cGeo = Extension("cGeo", sources = ["cGeo.c"]) setup (name = "cGeo", version = "0.1", author = "Tom De Smedt", description = "Fast geometric functionality.", ext_modules = [cGeo])

28.111111

53

0.616601

29

253

5.344828

0.793103

0.167742

0

0.010363

0.237154

253

9

54

28.111111

0.792746

0

0.228346

0

1

0

false

0

0.142857

0

0.142857

0

1

0

null

0

1

0

null

0

2

6947511cb144cec2a642daef44489c9938624281

808

py

Python

setup.py

ox-it/oxford-term-dates

943a05236a8a4d6178594ae1775a34ef19e7fe16

[ "AFL-3.0" ]

2

2016-01-13T15:19:17.000Z

2020-05-16T07:13:38.000Z

setup.py

ox-it/oxford-term-dates

943a05236a8a4d6178594ae1775a34ef19e7fe16

[ "AFL-3.0" ]

null

setup.py

ox-it/oxford-term-dates

943a05236a8a4d6178594ae1775a34ef19e7fe16

[ "AFL-3.0" ]

1

2020-05-16T07:13:41.000Z

#!/usr/bin/env python from distutils.core import setup setup(name='oxford_term_dates', version='1.3.0', description='A Python library for translating between real dates and Oxford term dates', author='IT Services, University of Oxford', author_email='mobileoxford@it.ox.ac.uk', url='https://github.com/ox-it/oxford-term-dates', packages=['oxford_term_dates','oxford_term_dates.templatetags'], classifiers=[ 'Framework :: Django', 'Development Status :: 5 - Production/Stable', 'License :: OSI Approved :: Academic Free License (AFL)', 'Intended Audience :: Education', 'Operating System :: OS Independent', 'Programming Language :: Python', 'Topic :: Education', 'Topic :: Internet', ], )

35.130435

94

0.634901

90

808

5.622222

0.733333

0.098814

0.148221

0

0.006441

0.231436

808

22

95

36.727273

0.808374

0.024752

0

0.617535

0.068615

0

1

0

true

0

0.052632

0

0.052632

0

null

0

1

0

null

0

1

0

2

6962e4354dc7f1a1758e3614363629af342522ee

1,153

py

Python

cpdb/data/migrations/0114_attachmentfile_add_fields.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

25

2018-07-20T22:31:40.000Z

2021-07-15T16:58:41.000Z

cpdb/data/migrations/0114_attachmentfile_add_fields.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

13

2018-06-18T23:08:47.000Z

2022-02-10T07:38:25.000Z

cpdb/data/migrations/0114_attachmentfile_add_fields.py

invinst/CPDBv2_backend

b4e96d620ff7a437500f525f7e911651e4a18ef9

[ "Apache-2.0" ]

6

2018-05-17T21:59:43.000Z

2020-11-17T00:30:26.000Z

# Generated by Django 2.1.3 on 2019-02-25 03:08 from django.db import migrations, models from django.db import migrations, models from django.conf import settings import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('data', '0113_attachmentfile_update_source_type'), ] operations = [ migrations.AddField( model_name='attachmentfile', name='notifications_count', field=models.IntegerField(default=0), ), migrations.AddField( model_name='attachmentfile', name='pages', field=models.IntegerField(default=0), ), migrations.AddField( model_name='attachmentfile', name='manually_updated', field=models.BooleanField(default=False), ), migrations.AddField( model_name='attachmentfile', name='last_updated_by', field=models.ForeignKey( null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL ), ), ]

28.121951

60

0.592368

110

1,153

6.072727

0.481818

0.047904

0.137725

0.161677

0.479042

0.344311

0.227545

0

0.026382

0.309627

1,153

40

61

28.825

0.812814

0.039029

0

0.5

1

0

0.138336

0.034358

0

1

0

false

0

0.117647

0

0.205882

0

null

0

1

0

1

0

null

0

2

15da9a3152e56c52f76684034993ef00a4445df4

696

py

Python

cjax/continuation/methods/predictor/natural_predictor.py

harsh306/continuation-jax

c1452604558764df9cd4770130b60035eea5c5b3

[ "MIT" ]

2

2022-01-26T18:02:51.000Z

2022-02-15T01:36:39.000Z

cjax/continuation/methods/predictor/natural_predictor.py

harsh306/continuation-jax

c1452604558764df9cd4770130b60035eea5c5b3

[ "MIT" ]

null

cjax/continuation/methods/predictor/natural_predictor.py

harsh306/continuation-jax

c1452604558764df9cd4770130b60035eea5c5b3

[ "MIT" ]

1

2022-02-15T01:37:50.000Z

from cjax.continuation.methods.predictor.base_predictor import Predictor from cjax.utils.math_trees import pytree_element_add class NaturalPredictor(Predictor): """Natural Predictor only updates continuation parameter""" def __init__(self, concat_states, delta_s): super().__init__(concat_states) self.delta_s = delta_s def _assign_states(self) -> None: super()._assign_states() def prediction_step(self): """Given current state predict next state. Updates (state: problem parameters, bparam: continuation parameter) Tuple """ self._assign_states() self._bparam = pytree_element_add(self._bparam, self.delta_s)

33.142857

81

0.715517

82

696

5.719512

0.487805

0.051173

0.06823

0

0.195402

696

20

82

34.8

0.8375

0.239943

0

1

0.272727

false

0

0.181818

0

0.545455

0

null

0

null

0

1

0

1

0

2

15e8686d5766af543463452560a9109ff4ea4229

489

py

Python

contabilidad/users/models.py

R3SWebDevelopment/CreaLibreCanacintraMembership

afab16195bbc7f74417a07cf475b5165eee472cb

[ "MIT" ]

null

contabilidad/users/models.py

R3SWebDevelopment/CreaLibreCanacintraMembership

afab16195bbc7f74417a07cf475b5165eee472cb

[ "MIT" ]

null

contabilidad/users/models.py

R3SWebDevelopment/CreaLibreCanacintraMembership

afab16195bbc7f74417a07cf475b5165eee472cb

[ "MIT" ]

null

from django.db import models from django.utils.translation import ugettext as _ from django.contrib.postgres.fields import JSONField from django.conf import settings class Profile(models.Model): mobile_number = JSONField(default={}) user = models.OneToOneField( settings.AUTH_USER_MODEL, on_delete=models.CASCADE, related_name='profile', ) notify_by_email = models.BooleanField(default=True) notify_by_sms = models.BooleanField(default=False)

30.5625

55

0.750511

60

489

5.95

0.6

0.112045

0.140056

0

0.167689

489

15

56

32.6

0.87715

0

0.014315

0

1

0

false

0

0.307692

0

0.692308

0

null

0

null

0

1

0

1

0

2

15fba4505460aa878e1ca0ea76de89ed1e91bacc

1,062

py

Python

mygit/commands/merge.py

7Bpencil/mygit

2eda11af904442b4a460a811af75a95c0845297f

[ "WTFPL" ]

null

mygit/commands/merge.py

7Bpencil/mygit

2eda11af904442b4a460a811af75a95c0845297f

[ "WTFPL" ]

null

mygit/commands/merge.py

7Bpencil/mygit

2eda11af904442b4a460a811af75a95c0845297f

[ "WTFPL" ]

null

import argparse from textwrap import dedent from mygit.state import State from mygit.constants import Constants from mygit.command import Command from mygit.backend import merge class Merge(Command): def __init__(self, subparsers: argparse._SubParsersAction, commands_dict: dict): command_description = dedent( ''' Fast-forward HEAD to another branch state (if it's possible) Usage examples: mygit merge dev merge commits from dev into HEAD Note: fast-forward is possible only if HEAD commit's line is subset of branch commit's line ''') super().__init__("merge", command_description, subparsers, commands_dict) def _add_arguments(self, command_parser: argparse.ArgumentParser): command_parser.add_argument("merge_branch", nargs=1) def work(self, namespace: argparse.Namespace, constants: Constants, state: State): merge(namespace.merge_branch[0], constants, state)

37.928571

93

0.661017

122

1,062

5.590164

0.434426

0.052786

0.032258

0

0.002581

0.270245

1,062

27

94

39.333333

0.877419

0

0.024217

0

1

0.2

false

0

0.4

0

0.666667

0

null

0

null

0

1

0

1

0

2

c603108c7c60eb0e0f9cc519512a6749aaa8ce08

4,115

py

Python

intranet/settings.py

We-Are-One-CS/intranet

a96b566b82925fb5d9b809071f2d95a0ce687cf5

[ "MIT" ]

3

2020-02-28T21:08:22.000Z

2020-09-09T14:14:28.000Z

intranet/settings.py

We-Are-One-CS/intranet

a96b566b82925fb5d9b809071f2d95a0ce687cf5

[ "MIT" ]

28

2020-02-11T09:22:32.000Z

2020-06-05T07:05:23.000Z

intranet/settings.py

We-Are-One-CS/intranet

a96b566b82925fb5d9b809071f2d95a0ce687cf5

[ "MIT" ]

null

""" Django settings for intranet project. Generated by 'django-admin startproject' using Django 2.2.7. For more information on this file, see https://docs.djangoproject.com/en/2.2/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.2/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.2/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'rd4l0b65&9*u+3g2j^1th5rl6sc*m!r^f*()5ij7(kot75p^2_' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = ['*'] # Authentification LOGIN_REDIRECT_URL = 'index' LOGOUT_REDIRECT_URL = 'index' # Application definition INSTALLED_APPS = [ 'wao.apps.WaoConfig', 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'crispy_forms', 'tempus_dominus', 'multiselectfield', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', 'wao.middleware.MessagesMiddleware', ] ROOT_URLCONF = 'intranet.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] AUTH_USER_MODEL = 'wao.User' CRISPY_TEMPLATE_PACK = 'bootstrap4' DATETIME_FORMAT = '%m/%d/%Y %I:%M %p' WSGI_APPLICATION = 'intranet.wsgi.application' # Database # https://docs.djangoproject.com/en/2.2/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql_psycopg2', 'NAME': 'weareone', # Name of the database used (we recommend using a dedicated db) 'USER': 'postgres', 'PASSWORD': 'admin', 'HOST': 'localhost', 'PORT': '', } } # For Django CI if os.environ.get('GITHUB_WORKFLOW'): DATABASES = { 'default': { 'ENGINE': 'django.db.backends.postgresql', 'NAME': 'github_actions', 'USER': 'postgres', 'PASSWORD': 'postgres', 'HOST': '127.0.0.1', 'PORT': '8000', } } # Password validation # https://docs.djangoproject.com/en/2.2/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.2/topics/i18n/ LANGUAGE_CODE = 'fr-fr' # Change the interface to french TIME_ZONE = 'CET' # Use the Central European Time Zone USE_I18N = True USE_L10N = True USE_TZ = True # Enable time zone # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.2/howto/static-files/ STATIC_URL = '/static/' STATICFILES_DIRS = ( os.path.join(BASE_DIR, 'wao/static/'), ) INTERNAL_IPS = ['127.0.0.1'] FILE_UPLOAD_PERMISSIONS = 0o644

27.433333

92

0.674119

459

4,115

5.936819

0.437909

0.07156

0.056514

0.06422

0.214679

0.190459

0.133211

0.097982

0.044037

0

0.017948

0.187606

4,115

150

93

27.433333

0.797188

0.282868

0

0.063158

1

0.010526

0.517961

0.375641

0

1

0

false

0.073684

0.010526

0

0.010526

0

null

0

1

0

null

0

1

0

2

c609af1653ba1996b5a66579c8a910d23126889e

1,966

py

Python

day06/mysql_tutorial.py

zhangyage/Python-jike

069b1e7f0d18739c19f0980d2f88f99ed14b70b6

[ "Apache-2.0" ]

null

day06/mysql_tutorial.py

zhangyage/Python-jike

069b1e7f0d18739c19f0980d2f88f99ed14b70b6

[ "Apache-2.0" ]

null

day06/mysql_tutorial.py

zhangyage/Python-jike

069b1e7f0d18739c19f0980d2f88f99ed14b70b6

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding:utf-8 -*- ''' 演示数据的插入操作学习常见的连接操作mysql的方法 1、官方客户端mysql-connector使用 2、第三方客户端MySQLdb 3、MySQLdb的二次封装torndb使用 ''' from __future__ import print_function sql = "insert into ipdata (startip,endip,loacl,country) values (16777123,16777324,'电信','青海省')" sql_tmp = "insert into ipdata (startip,endip,loacl,country) values (%s,%s,%s,%s)" values = [(26777123,26777324,'移动','新疆省'),(26787123,26787324,'电信','云南省'),(26797123,26797324,'移动','广西省'),(29777123,29777324,'移动','四川省')] #定义sql语句 #实例一 #https://dev.mysql.com/downloads/connector/python/ #使用mysql-connector需要安装相关的驱动程序，linux安装mysql-client、windows安装上面连接下载的程序 ''' ''' print ('mysql-connector'.center(50,'+')) from mysql import connector cnx = connector.Connect(host="192.168.75.133",user="zhangyage",password="zhangyage",database="pythontest",charset="utf8") #创建链接 cnx.autocommit = True db0 = cnx.cursor() #创建游标 print (db0.execute(sql)) print (db0.executemany(sql_tmp,values)) #执行sql 实例二 MySQLdb ''' ''' print ('mysql-MySQLdb'.center(50,'+')) import MySQLdb def connect_mysql(db_host="192.168.75.133",user="zhangyage",password="zhangyage",database="pythontest",charset="utf8"): conn = MySQLdb.connect(host=db_host,user=user,passwd=password,db=database,charset=charset) conn.autocommit(True) return conn.cursor() db1 = connect_mysql() print (db1.execute(sql),db1.lastrowid) print (db1.executemany(sql_tmp,values),db1.lastrowid) #执行sql db1.lastrowid打印最后执行的行号 ''' 实例三 torndb torndb模块是需要我们后期安装的，python -m pip install torndb ''' print ('mysql-torndb'.center(50,'+')) import torndb import simplejson as json db2 = torndb.Connection(host="192.168.75.133", user="zhangyage", password="zhangyage", database="pythontest", charset="utf8" ) print (db2.insert(sql)) print (db2.insertmany(sql_tmp, values)) #输出结果直接是json串，字段和对应的值到时存在的

29.343284

134

0.685148

236

1,966

5.652542

0.470339

0.017991

0.022489

0.026987

0.235382

0.166417

0

0.082684

0.151068

1,966

66

135

29.787879

0.716597

0.119023

0

0.0625

0.23162

0.057254

0

null

0.125

0.15625

null

0.3125

0

null

0

null

0

1

0

1

0

2

c611ace71f06895258980da8c2f9da8383b4b256

280

py

Python

Python/Strings/string_validators.py

isbendiyarovanezrin/HackerRankSolutions

3e66ecab82b35e718e1bdd1b0c00d0aeb3b4569f

[ "MIT" ]

2

2022-01-03T14:49:57.000Z

2022-01-16T15:37:18.000Z

Python/Strings/string_validators.py

isbendiyarovanezrin/HackerRankSolutions

3e66ecab82b35e718e1bdd1b0c00d0aeb3b4569f

[ "MIT" ]

null

Python/Strings/string_validators.py

isbendiyarovanezrin/HackerRankSolutions

3e66ecab82b35e718e1bdd1b0c00d0aeb3b4569f

[ "MIT" ]

null

# Language: Python 3 if __name__ == '__main__': s = input() n = any(i.isalnum() for i in s) a = any(i.isalpha() for i in s) d = any(i.isdigit() for i in s) l = any(i.islower() for i in s) u = any(i.isupper() for i in s) print(n, a, d, l, u, sep="\n")

25.454545

35

0.528571

56

280

2.5

0.428571

0.142857

0.214286

0.25

0

0.005025

0.289286

280

11

36

25.454545

0.698492

0.064286

0

0.038314

0

1

0

false

0

0.125

0

null

0

1

0

null

0

2

c6218bc9f5911456f82cbd5199c0c02e8eeef895

382

py

Python

incrowd/website/urls.py

incrowdio/incrowd

711e99c55b9da815af7749a2930d4184e235fa68

[ "Apache-2.0" ]

4

2015-03-10T04:24:07.000Z

2016-09-18T16:41:12.000Z

incrowd/website/urls.py

incrowdio/incrowd

711e99c55b9da815af7749a2930d4184e235fa68

[ "Apache-2.0" ]

27

2015-01-03T09:52:50.000Z

2021-06-10T20:37:08.000Z

incrowd/website/urls.py

incrowdio/incrowd

711e99c55b9da815af7749a2930d4184e235fa68

[ "Apache-2.0" ]

2

2015-09-07T21:06:51.000Z

2016-03-10T11:31:57.000Z

from rest_framework import routers from website.api import UserViewSet, PostViewSet, CommentViewSet, \ CategoryViewSet, CrowdViewSet router = routers.SimpleRouter() router.register(r'users', UserViewSet) router.register(r'posts', PostViewSet) router.register(r'categories', CategoryViewSet) router.register(r'comments', CommentViewSet) router.register(r'crowds', CrowdViewSet)

34.727273

67

0.814136

42

382

7.380952

0.5

0.225806

0.241935

0

0.081152

382

10

68

38.2

0.883191

0

0.089005

0

1

0

false

0

0.222222

0

0.222222

0

null

1

0

null

0

2

c627f42ed3e1bf273973cce42e035177374b5114

3,158

py

Python

ooobuild/lo/sdb/result_column.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/lo/sdb/result_column.py

Amourspirit/ooo_uno_tmpl

64e0c86fd68f24794acc22d63d8d32ae05dd12b8

[ "Apache-2.0" ]

null

ooobuild/lo/sdb/result_column.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. # # Service Class # this is a auto generated file generated by Cheetah # Libre Office Version: 7.3 # Namespace: com.sun.star.sdb from abc import abstractproperty from .column_settings import ColumnSettings as ColumnSettings_bbba0c00 from ..sdbcx.column import Column as Column_7b1d098a class ResultColumn(ColumnSettings_bbba0c00, Column_7b1d098a): """ Service Class describes a column of a result set. See Also: `API ResultColumn <https://api.libreoffice.org/docs/idl/ref/servicecom_1_1sun_1_1star_1_1sdb_1_1ResultColumn.html>`_ """ __ooo_ns__: str = 'com.sun.star.sdb' __ooo_full_ns__: str = 'com.sun.star.sdb.ResultColumn' __ooo_type_name__: str = 'service' @abstractproperty def CatalogName(self) -> str: """ gets a column's table's catalog name. """ @abstractproperty def DisplaySize(self) -> int: """ indicates the column's normal max width in chars. """ @abstractproperty def IsCaseSensitive(self) -> bool: """ indicates that a column is case sensitive. """ @abstractproperty def IsDefinitelyWritable(self) -> bool: """ indicates whether a write on the column will definitely succeed. """ @abstractproperty def IsReadOnly(self) -> bool: """ indicates whether a column is definitely, not writable. """ @abstractproperty def IsSearchable(self) -> bool: """ indicates whether the column can be used in a Where clause. """ @abstractproperty def IsSigned(self) -> bool: """ indicates whether values in the column are signed numbers. """ @abstractproperty def IsWritable(self) -> bool: """ indicates whether it is possible for a write on the column to succeed. """ @abstractproperty def Label(self) -> str: """ gets the suggested column title for use in printouts and displays. """ @abstractproperty def SchemaName(self) -> str: """ gets a column's schema name. """ @abstractproperty def ServiceName(self) -> str: """ returns the fully-qualified name of the service whose instances are manufactured if the method com.sun.star.sdbc.XRow.getObject)= is called to retrieve a value from the column. """ @abstractproperty def TableName(self) -> str: """ gets a column's table name. """ __all__ = ['ResultColumn']

27.701754

184

0.651678

383

3,158

5.281984

0.472585

0.112704

0.05042

0.059318

0.091943

0.050914

0.023727

0

0.014976

0.259975

3,158

113

185

27.946903

0.850663

0.513616

0

0.375

0

0.052805

0.023927

0

1

0.375

false

0

0.09375

0

0.59375

0

null

0

null

0

1

0

1

0

2

c62ebe90410af38a0fd3d10d4dea8a8ef9dad58b

902

py

Python

psx/_dump_/28/_dump_ida_/overlay_3/set_funcs.py

maoa3/scalpel

2e7381b516cded28996d290438acc618d00b2aa7

[ "Unlicense" ]

15

2018-06-28T01:11:25.000Z

2021-09-27T15:57:18.000Z

psx/_dump_/28/_dump_ida_/overlay_3/set_funcs.py

maoa3/scalpel

2e7381b516cded28996d290438acc618d00b2aa7

[ "Unlicense" ]

7

2018-06-29T04:08:23.000Z

2019-10-17T13:57:22.000Z

psx/_dump_/28/_dump_ida_/overlay_3/set_funcs.py

maoa3/scalpel

2e7381b516cded28996d290438acc618d00b2aa7

[ "Unlicense" ]

7

2018-06-28T01:11:34.000Z

2020-05-23T09:21:48.000Z

del_items(0x800A0E8C) SetType(0x800A0E8C, "void VID_OpenModule__Fv()") del_items(0x800A0F4C) SetType(0x800A0F4C, "void InitScreens__Fv()") del_items(0x800A103C) SetType(0x800A103C, "void MEM_SetupMem__Fv()") del_items(0x800A1068) SetType(0x800A1068, "void SetupWorkRam__Fv()") del_items(0x800A10F8) SetType(0x800A10F8, "void SYSI_Init__Fv()") del_items(0x800A1204) SetType(0x800A1204, "void GM_Open__Fv()") del_items(0x800A1228) SetType(0x800A1228, "void PA_Open__Fv()") del_items(0x800A1260) SetType(0x800A1260, "void PAD_Open__Fv()") del_items(0x800A12A4) SetType(0x800A12A4, "void OVR_Open__Fv()") del_items(0x800A12C4) SetType(0x800A12C4, "void SCR_Open__Fv()") del_items(0x800A12F4) SetType(0x800A12F4, "void DEC_Open__Fv()") del_items(0x800A1568) SetType(0x800A1568, "char *GetVersionString__FPc(char *VersionString2)") del_items(0x800A163C) SetType(0x800A163C, "char *GetWord__FPc(char *VStr)")

33.407407

72

0.805987

117

902

5.803419

0.333333

0.153166

0.162003

0.123711

0

0.222877

0.059867

902

26

73

34.692308

0.57783

0

0.337029

0.029933

0

0.288248

0

1

0

true

0

null

0

1

0

null

0

1

0

2

c63cbc7a7f3580c129f4752ad0bd37f38f7fd932

2,044

py

Python

backend/takeout/admin/views.py

BillBillBillBill/laughing-garbanzo

27c66dcc4f0e045ae060255679a2aa68c0f744d2

[ "MIT" ]

15

2016-08-03T08:11:36.000Z

2022-03-24T03:21:06.000Z

backend/takeout/admin/views.py

BillBillBillBill/laughing-garbanzo

27c66dcc4f0e045ae060255679a2aa68c0f744d2

[ "MIT" ]

null

backend/takeout/admin/views.py

BillBillBillBill/laughing-garbanzo

27c66dcc4f0e045ae060255679a2aa68c0f744d2

[ "MIT" ]

7

2016-08-03T08:11:38.000Z

2020-12-27T08:49:10.000Z

# coding: utf-8 from rest_framework.views import APIView from models.admin import Admin from lib.utils.response import JsonResponse, JsonErrorResponse from lib.utils.misc import get_update_dict_by_list from lib.utils.token_tools import get_token class AdminList(APIView): def get(self, request): # 获取管理员列表 admins = [admin.to_string() for admin in Admin.objects.all()] return JsonResponse({"admin_list": admins}) def post(self, request): # 注册 username = request.json.get("username") password = request.json.get("password") nickname = request.json.get("nickname") account_type = request.json.get("account_type") if not all([username, password, nickname, account_type]): return JsonErrorResponse("username, password, nickname, account_type are needed", 400) new_admin = Admin( username=username, password=password, nickname=nickname, account_type=account_type ) try: new_admin.save() except Exception, e: print e return JsonErrorResponse("Fail" + e.message) print "新注册管理员id：", new_admin.id # 登陆 token = get_token(username, password, "admin") return JsonResponse({ "id": new_admin.id, "token": token }) class AdminDetail(APIView): def get(self, request, admin_id): try: admin = Admin.objects.get(id=admin_id) except Admin.DoesNotExist: return JsonErrorResponse("Admin does not exist", 404) return JsonResponse({"admin": admin.to_detail_string()}) def put(self, request, admin_id): # 更新个人信息 update_item = ['nickname', 'password'] update_dict = get_update_dict_by_list(update_item, request.json) modify_num = Admin.objects.filter(id=admin_id).update(**update_dict) if modify_num == 1: return JsonResponse({}) return JsonErrorResponse("Update failed", 400)

34.644068

98

0.629648

232

2,044

5.392241

0.331897

0.052758

0.044764

0.023981

0.1247

0

0.007363

0.26908

2,044

58

99

35.241379

0.829987

0.016634

0

0.042553

0

0.088822

0

null

0.12766

0.106383

null

0.042553

0

null

0

null

0

1

0

1

0

2

c64f1dc22175bdb827ddb012fc48215e9e45a903

1,719

py

Python

ondewo/t2s/client/services/text_to_speech.py

ondewo/ondewo-t2s-client-python

c580c934c7e0e703f81bbddeee3831919fd5f0a2

[ "Apache-2.0" ]

null

ondewo/t2s/client/services/text_to_speech.py

ondewo/ondewo-t2s-client-python

c580c934c7e0e703f81bbddeee3831919fd5f0a2

[ "Apache-2.0" ]

null

ondewo/t2s/client/services/text_to_speech.py

ondewo/ondewo-t2s-client-python

c580c934c7e0e703f81bbddeee3831919fd5f0a2

[ "Apache-2.0" ]

null

from google.protobuf.empty_pb2 import Empty from ondewo.utils.base_services_interface import BaseServicesInterface from ondewo.t2s.text_to_speech_pb2 import ( ListT2sPipelinesRequest, ListT2sPipelinesResponse, SynthesizeRequest, SynthesizeResponse, T2sPipelineId, Text2SpeechConfig, ) from ondewo.t2s.text_to_speech_pb2_grpc import Text2SpeechStub class Text2Speech(BaseServicesInterface): """ Exposes the t2s endpoints of ONDEWO t2s in a user-friendly way. See text_to_speech.proto. """ @property def stub(self) -> Text2SpeechStub: stub: Text2SpeechStub = Text2SpeechStub(channel=self.grpc_channel) return stub def synthesize(self, request: SynthesizeRequest) -> SynthesizeResponse: response: SynthesizeResponse = self.stub.Synthesize(request) return response def get_t2s_pipeline(self, request: T2sPipelineId) -> Text2SpeechConfig: response: Text2SpeechConfig = self.stub.GetT2sPipeline(request) return response def create_t2s_pipeline(self, request: Text2SpeechConfig) -> T2sPipelineId: response: T2sPipelineId = self.stub.CreateT2sPipeline(request) return response def delete_t2s_pipeline(self, request: T2sPipelineId) -> Empty: response: Empty = self.stub.DeleteT2sPipeline(request) return response def update_t2s_pipeline(self, request: Text2SpeechConfig) -> Empty: response: Empty = self.stub.UpdateT2sPipeline(request) return response def list_t2s_pipelines(self, request: ListT2sPipelinesRequest) -> ListT2sPipelinesResponse: response: ListT2sPipelinesResponse = self.stub.ListT2sPipelines(request) return response

34.38

95

0.745782

167

1,719

7.538922

0.347305

0.052423

0.100079

0.095314

0.203336

0.04448

0

0.02641

0.184991

1,719

49

96

35.081633

0.872234

0.052356

0

0.176471

0

1

0.205882

false

0

0.117647

0

0.558824

0

null

0

null

0

1

0

1

0

2

c6590aaf2d2dffbad1dc3622668b97cfa3f432d8

834

py

Python

notebooks/src/code/__init__.py

verdimrc/amazon-textract-transformer-pipeline

f3ae99ec3b8808d9edf7bc5ac003494cf1548293

[ "MIT-0" ]

22

2021-11-10T17:16:10.000Z

2022-03-31T19:39:50.000Z

notebooks/src/code/__init__.py

verdimrc/amazon-textract-transformer-pipeline

f3ae99ec3b8808d9edf7bc5ac003494cf1548293

[ "MIT-0" ]

4

2021-11-03T03:45:51.000Z

2022-01-28T03:30:57.000Z

notebooks/src/code/__init__.py

verdimrc/amazon-textract-transformer-pipeline

f3ae99ec3b8808d9edf7bc5ac003494cf1548293

[ "MIT-0" ]

4

2021-12-14T22:41:40.000Z

2022-02-04T15:30:10.000Z

# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. # SPDX-License-Identifier: MIT-0 """Amazon Textract + LayoutLM model training and inference code package for SageMaker Why the extra level of nesting? Because the src folder (even if __init__ is present) is not loaded as a Python module during training, but rather as the working directory. This requires a different import syntax for top-level files/folders (`import config`, not `from . import config`) than you would see if your working directory was different (for example when you `from src import code` to use it from one of the notebooks). Wrapping this code in an extra package folder ensures that - regardless of whether you use it from notebook, in SM training job, or in some other app - relative imports *within* this code/ folder work correctly. """

55.6

98

0.780576

134

834

4.828358

0.679104

0.049459

0.027821

0

0.001435

0.164269

834

14

99

59.571429

0.926829

0.986811

0

null

0

null

0

null

0

null

1

null

true

0

null

0

null

0

1

0

null

0

1

0

2

d66ac9bbed52cc97398c2e00fdb14a0c9b408fc1

8,428

py

Python

smartlingApiSdk/api/EstimatesApi.py

Smartling/api-sdk-python

85e937c3ad0abcf5022688a476ac2edb34ab33ac

[ "Apache-2.0" ]

8

2015-01-08T21:31:17.000Z

2021-01-07T07:50:31.000Z

smartlingApiSdk/api/EstimatesApi.py

Smartling/api-sdk-python

85e937c3ad0abcf5022688a476ac2edb34ab33ac

[ "Apache-2.0" ]

8

2015-05-18T21:43:03.000Z

2020-05-19T06:12:17.000Z

smartlingApiSdk/api/EstimatesApi.py

Smartling/api-sdk-python

85e937c3ad0abcf5022688a476ac2edb34ab33ac

[ "Apache-2.0" ]

14

2015-07-24T08:52:27.000Z

2022-03-05T06:36:45.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- """ Copyright 2012-2021 Smartling, Inc. * * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this work except in compliance with the License. * You may obtain a copy of the License in the LICENSE file, or 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 smartlingApiSdk.ApiV2 import ApiV2 class EstimatesApi(ApiV2): def __init__(self, userIdentifier, userSecret, projectId, proxySettings=None, permanentHeaders={}, env='prod'): ApiV2.__init__(self, userIdentifier, userSecret, projectId, proxySettings, permanentHeaders=permanentHeaders, env=env) def getJobFuzzyEstimateReports(self, translationJobUid, reportStatus='', contentCoverage='', creatorUserUids=[], translationJobSchemaContents=[], tags=[], createdFrom='', createdTo='', limit=0, offset=0, **kwargs): """ method : GET api url : /estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/fuzzy Responses: 200 : OK details : https://api-reference.smartling.com/#operation/getJobFuzzyEstimateReports """ kw = { 'reportStatus':reportStatus, 'contentCoverage':contentCoverage, 'creatorUserUids':creatorUserUids, 'translationJobSchemaContents':translationJobSchemaContents, 'tags':tags, 'createdFrom':createdFrom, 'createdTo':createdTo, 'limit':limit, 'offset':offset, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/fuzzy', translationJobUid=translationJobUid, **kwargs) response, status = self.command('GET', url, kw) return response, status def generateJobFuzzyEstimateReports(self, translationJobUid, contentType, tags, **kwargs): """ method : POST api url : /estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/fuzzy Responses: 200 : OK details : https://api-reference.smartling.com/#operation/generateJobFuzzyEstimateReports """ kw = { 'contentType':contentType, 'tags':tags, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/fuzzy', translationJobUid=translationJobUid, **kwargs) response, status = self.commandJson('POST', url, kw) return response, status def getJobCostEstimateReports(self, translationJobUid, reportStatus='', contentCoverage='', creatorUserUids=[], translationJobSchemaContents=[], tags=[], createdFrom='', createdTo='', limit=0, offset=0, **kwargs): """ method : GET api url : /estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/cost Responses: 200 : OK details : https://api-reference.smartling.com/#operation/getJobCostEstimateReports """ kw = { 'reportStatus':reportStatus, 'contentCoverage':contentCoverage, 'creatorUserUids':creatorUserUids, 'translationJobSchemaContents':translationJobSchemaContents, 'tags':tags, 'createdFrom':createdFrom, 'createdTo':createdTo, 'limit':limit, 'offset':offset, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/cost', translationJobUid=translationJobUid, **kwargs) response, status = self.command('GET', url, kw) return response, status def generateJobCostEstimateReports(self, translationJobUid, contentType, tags, localeWorkflows, fuzzyProfileUid, **kwargs): """ method : POST api url : /estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/cost Responses: 200 : OK details : https://api-reference.smartling.com/#operation/generateJobCostEstimateReports """ kw = { 'contentType':contentType, 'tags':tags, 'localeWorkflows':localeWorkflows, 'fuzzyProfileUid':fuzzyProfileUid, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/jobs/{translationJobUid}/reports/cost', translationJobUid=translationJobUid, **kwargs) response, status = self.commandJson('POST', url, kw) return response, status def getJobEstimateReportStatus(self, reportUid, reportStatus='', reportType='', **kwargs): """ method : GET api url : /estimates-api/v2/projects/{projectId}/reports/{reportUid}/status Responses: 200 : OK details : https://api-reference.smartling.com/#operation/getJobEstimateReportStatus """ kw = { 'reportStatus':reportStatus, 'reportType':reportType, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/reports/{reportUid}/status', reportUid=reportUid, **kwargs) response, status = self.command('GET', url, kw) return response, status def getJobEstimateReport(self, reportUid, reportStatus='', reportType='', **kwargs): """ method : GET api url : /estimates-api/v2/projects/{projectId}/reports/{reportUid} Responses: 200 : OK details : https://api-reference.smartling.com/#operation/getJobEstimateReport """ kw = { 'reportStatus':reportStatus, 'reportType':reportType, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/reports/{reportUid}', reportUid=reportUid, **kwargs) response, status = self.command('GET', url, kw) return response, status def deleteJobEstimateReport(self, reportUid, **kwargs): """ method : DELETE api url : /estimates-api/v2/projects/{projectId}/reports/{reportUid} Responses: 200 : OK details : https://api-reference.smartling.com/#operation/deleteJobEstimateReport """ kw = { } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/reports/{reportUid}', reportUid=reportUid, **kwargs) response, status = self.command('DELETE', url, kw) return response, status def modifyJobEstimateReportTags(self, reportUid, tags, **kwargs): """ method : PUT api url : /estimates-api/v2/projects/{projectId}/reports/{reportUid}/tags Responses: 200 : OK details : https://api-reference.smartling.com/#operation/modifyJobEstimateReportTags """ kw = { 'tags':tags, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectId}/reports/{reportUid}/tags', reportUid=reportUid, **kwargs) response, status = self.commandJson('PUT', url, kw) return response, status def exportJobEstimationReport(self, projectUid, reportUid, format, **kwargs): """ method : GET api url : /estimates-api/v2/projects/{projectUid}/reports/{reportUid}/download Responses: 200 : OK details : https://api-reference.smartling.com/#operation/exportJobEstimationReport """ kw = { 'format':format, } kw.update(kwargs) url = self.urlHelper.getUrl('/estimates-api/v2/projects/{projectUid}/reports/{reportUid}/download', projectUid=projectUid, reportUid=reportUid, **kwargs) response, status = self.command('GET', url, kw) return response, status

41.722772

218

0.621262

746

8,428

7.008043

0.197051

0.041316

0.048202

0.075746

0.73508

0.722265

0.682862

0.666029

0.647666

0

0.010553

0.25795

8,428

201

219

41.930348

0.825392

0.295088

0

0.690722

0

0.186534

0.128552

0

1

0.103093

false

0

0.010309

0

0.216495

0

null

0

1

0

1

0

null

0

2

d675f6f9d4cc85cb82ade7351a4c882f764248ac

494

py

Python

Python 基础教程/1.5.7 lamda应用.py

shao1chuan/pythonbook

cd9877d04e1e11422d38cc051e368d3d9ce2ab45

[ "MulanPSL-1.0" ]

95

2020-10-11T04:45:46.000Z

2022-02-25T01:50:40.000Z

Python 基础教程/1.5.7 lamda应用.py

shao1chuan/pythonbook

cd9877d04e1e11422d38cc051e368d3d9ce2ab45

[ "MulanPSL-1.0" ]

null

Python 基础教程/1.5.7 lamda应用.py

shao1chuan/pythonbook

cd9877d04e1e11422d38cc051e368d3d9ce2ab45

[ "MulanPSL-1.0" ]

30

2020-11-05T09:01:00.000Z

2022-03-08T05:58:55.000Z

# https://blog.csdn.net/zjuxsl/article/details/77104382 # 一、lambda函数也叫匿名函数，即，函数没有具体的名称。先来看一个最简单例子： def f(x): return x**2 print(f(4)) # Python中使用lambda的话，写成这样 g = lambda x : x**2 print (g(4)) # lambda语句中，冒号前是参数，可以有多个，用逗号隔开，冒号右边的返回值。 # lambda语句构建的其实是一个函数对象 from functools import reduce reduce(lambda x,y:x+y, [1,2,3]) #6 reduce(lambda x,y:x * y, [1,2,4]) #8 reduce(lambda x,y: x and y, [True,False,True]) #False def f(x, y): return x + y reduce(lambda x, y: f(x, y), [1, 2, 3]) # 6

18.296296

55

0.661943

91

494

3.593407

0.461538

0.055046

0.159021

0.171254

0.180428

0.134557

0.110092

0

0.057279

0.151822

494

26

56

19

0.72315

0.376518

0

1

0.166667

false

0

0.083333

0.166667

0.416667

0.166667

0

null

0

1

0

null

0

1

0

2

d686499fa79e594e85a706dad4ff13ce847aaa79

88

py

Python

obliv/__init__.py

dsroche/obliv

7a7c72e7dcc05d9a30656a501a952d722027dbc3

[ "Unlicense" ]

2

2020-11-21T00:18:12.000Z

2020-11-24T02:20:17.000Z

obliv/__init__.py

dsroche/obliv

7a7c72e7dcc05d9a30656a501a952d722027dbc3

[ "Unlicense" ]

null

obliv/__init__.py

dsroche/obliv

7a7c72e7dcc05d9a30656a501a952d722027dbc3

[ "Unlicense" ]

null

__all__ = ["hirb", "voram", "skipstash", "fstore", "mt_ssh_store", "ssh_info", "idstr"]

44

87

0.636364

11

88

4.454545

0.909091

0

0.102273

88

1

88

0.620253

0

0.556818

0

1

0

false

0

1

0

null

0

1

0

null

0

2

d6889b61554d788bc43d1d4a886ba1e6ea609e32

348

py

Python

tests/test_graph.py

ssube/redesigned-barnacle

314ea415b6f725c798cc97d6e619fbedc7f8bd21

[ "MIT" ]

null

tests/test_graph.py

ssube/redesigned-barnacle

314ea415b6f725c798cc97d6e619fbedc7f8bd21

[ "MIT" ]

1

2021-11-04T16:00:15.000Z

tests/test_graph.py

ssube/redesigned-barnacle

314ea415b6f725c798cc97d6e619fbedc7f8bd21

[ "MIT" ]

null

from redesigned_barnacle.buffer import CircularBuffer from redesigned_barnacle.graph import Sparkline from redesigned_barnacle.mock import MockFramebuffer from unittest import TestCase class SparkTest(TestCase): def test_line(self): buf = CircularBuffer() sl = Sparkline(32, 64, buf) sl.push(16) sl.draw(MockFramebuffer(), 0, 0)

29

53

0.775862

44

348

6.045455

0.590909

0.157895

0.24812

0

0.026936

0.146552

348

12

54

29

0.868687

0

1

0.1

false

0

0.4

0

0.6

0

null

0

1

0

null

0

1

0

2

d692c63662549a5451cd5f10534438beadbf49d1

401

py

Python

programs/pgm07_23.py

danielsunzhongyuan/python_practice

79bc88db1c52ee2f5607f6f9fec1bbacea2804ff

[ "Apache-2.0" ]

null

programs/pgm07_23.py

danielsunzhongyuan/python_practice

79bc88db1c52ee2f5607f6f9fec1bbacea2804ff

[ "Apache-2.0" ]

null

programs/pgm07_23.py

danielsunzhongyuan/python_practice

79bc88db1c52ee2f5607f6f9fec1bbacea2804ff

[ "Apache-2.0" ]

null

# # This file contains the Python code from Program 7.23 of # "Data Structures and Algorithms # with Object-Oriented Design Patterns in Python" # by Bruno R. Preiss. # # Copyright (c) 2003 by Bruno R. Preiss, P.Eng. All rights reserved. # # http://www.brpreiss.com/books/opus7/programs/pgm07_23.txt # class SortedList(OrderedList): def __init__(self): super(SortedList, self).__init__()

26.733333

69

0.723192

58

401

4.844828

0.844828

0.049822

0.05694

0.099644

0

0.035821

0.164589

401

14

70

28.642857

0.802985

0.700748

0

1

0.333333

false

0

0.666667

0

null

0

null

0

1

0

1

0

2

d6b2d831c8279558598bc5824ede22c12a555e25

16,204

py

Python

STED_analysis/pixel_detect.py

zhaoaite/dynamic_thresholding_algorithm

adcdfc7970098ab78c83d9aa86333f0a38d30bbb

[ "MIT" ]

3

2021-09-23T03:25:09.000Z

2022-03-11T15:23:18.000Z

STED_analysis/pixel_detect.py

zhaoaite/dynamic_thresholding_algorithm

adcdfc7970098ab78c83d9aa86333f0a38d30bbb

[ "MIT" ]

null

STED_analysis/pixel_detect.py

zhaoaite/dynamic_thresholding_algorithm

adcdfc7970098ab78c83d9aa86333f0a38d30bbb

[ "MIT" ]

null

import cv2 import numpy as np from matplotlib import pyplot as plt import os from scipy.stats.stats import pearsonr def getColors(n): colors = np.zeros((n, 3)) colors[:, 0] = np.random.permutation(np.linspace(0, 256, n)) colors[:, 1] = np.random.permutation(colors[:, 0]) colors[:, 2] = np.random.permutation(colors[:, 1]) return colors def connectivity_clump_detect(path1,path2): tublin=cv2.imread(path1) tublin=cv2.cvtColor(tublin,cv2.COLOR_BGR2GRAY) tublin = cv2.GaussianBlur(tublin, (5, 5), 0) thresh_tublin,binary_tublin=cv2.threshold(tublin, 30, 255,cv2.THRESH_BINARY) vash2=cv2.imread(path2) vash2=cv2.cvtColor(vash2,cv2.COLOR_BGR2GRAY) vash2 = cv2.GaussianBlur(vash2, (3, 3), 0) thresh_vash2,binary_vash2=cv2.threshold(vash2, 30, 255,cv2.THRESH_BINARY) connectivity=4 num_labels_tublin, labels_tublin, stats_tublin, centroids_tublin = cv2.connectedComponentsWithStats(binary_tublin, connectivity, cv2.CV_8U) num_labels_vash2, labels_vash2, stats_vash2, centroids_vash2 = cv2.connectedComponentsWithStats(binary_vash2, connectivity, cv2.CV_8U) colors = getColors(num_labels_vash2) dst_tublin = np.ones((binary_tublin.shape[0], binary_tublin.shape[1], 3), dtype=np.uint8) * 0 dst_vash2 = np.ones((binary_vash2.shape[0], binary_vash2.shape[1], 3), dtype=np.uint8) * 0 # for i in range(num_labels): # dst_vash2[labels == i] = colors[i] num_tublin=0 cross_pixel=0 num_vash=0 num_vash_pixel=0 cross_num=0 for i in range(num_labels_tublin): if stats_tublin[i,4]<6000 and stats_tublin[i,4]>5: num_tublin+=1 dst_tublin[labels_tublin == i] = [255,70,90] vash_list=[] for i in range(num_labels_vash2): # print(num_labels_vash2) if stats_vash2[i,4]>100 and stats_vash2[i,4]<50000: dst_vash2[labels_vash2 == i] = [255,70,90] num_vash+=1 cv2.rectangle(vash2, (stats_vash2[i,0],stats_vash2[i,1]), (stats_vash2[i,0]+stats_vash2[i,2],stats_vash2[i,1]+stats_vash2[i,3]), (255,100,100), 1) vash_list.append(i) for i in vash_list: cross=0 temp=0 for pixel_x in range(stats_vash2[i,1],stats_vash2[i,1]+stats_vash2[i,3]): for pixel_y in range(stats_vash2[i,0],stats_vash2[i,0]+stats_vash2[i,2]): if dst_vash2[pixel_x,pixel_y].any()!=np.array([0,0,0]).any(): num_vash_pixel+=1 temp+=1 if dst_tublin[pixel_x,pixel_y].any()!=np.array([0,0,0]).any() and dst_vash2[pixel_x,pixel_y].any()!=np.array([0,0,0]).any(): cross+=1 # cv2.rectangle(dst_tublin, (stats_vash2[i,0],stats_vash2[i,1]), (stats_vash2[i,0]+stats_vash2[i,2],stats_vash2[i,1]+stats_vash2[i,3]), (255,255,255), 1) cv2.rectangle(vash2, (stats_vash2[i,0],stats_vash2[i,1]), (stats_vash2[i,0]+stats_vash2[i,2],stats_vash2[i,1]+stats_vash2[i,3]), (255,255,255), 1) if cross!=0: cross_pixel+=temp cross_num+=1 new_path=os.path.join('./clumps/',path,subpath,subsubpath) print(new_path) if not os.path.exists(new_path): os.makedirs(new_path) cv2.imwrite(new_path+'/'+file, vash2) # cv2.imwrite('1.jpg',dst_vash2) # cv2.imwrite('2.jpg',dst_tublin) vash2_in = cross_num/num_vash vash2_out = (num_vash-cross_num)/num_vash a=open('a.txt', 'a') # a.write("--------------------\n") a.write('path:'+str(path1)+'\n') a.write('tubulin:'+str(num_tublin)+'\n') a.write('clump:'+str(num_vash)+'\n') a.write('clump in tubulin:'+str(cross_num)+'\n') a.write('clump out of tubulin:'+str(num_vash-cross_num)+'\n') a.write("--------------------\n") a.write("clump_in/clump_total:"+str(vash2_in)+'\n') a.write("clump_out/clump_total:"+str(vash2_out)+'\n') a.close() if 'Sample 1' in path1 or 'Sample 2' in path1: WT.append([vash2_in,vash2_out]) else: KO.append([vash2_in,vash2_out]) return vash2_in,vash2_out def PCC(path1,path2): tublin=cv2.imread(path1) tublin=cv2.cvtColor(tublin,cv2.COLOR_BGR2GRAY) # 500*500 local tublin=cv2.resize(tublin, (1024,1024), interpolation = cv2.INTER_AREA) vash2=cv2.imread(path2) vash2=cv2.cvtColor(vash2,cv2.COLOR_BGR2GRAY) vash2=cv2.resize(vash2, (1024,1024), interpolation = cv2.INTER_AREA) tublin=np.asarray(tublin) vash2=np.asarray(vash2) print(vash2.shape) co=pearsonr(vash2.reshape(1024*1024), tublin.reshape(1024*1024)) a=open('20201202_cell4_pixel.txt', 'a') a.write("--------------------\n") a.write('Pearson:'+str(co[0])+'\n') a.close() return co def vash_num_detect(path1,path2): tublin=cv2.imread(path1) tublin=cv2.cvtColor(tublin,cv2.COLOR_BGR2GRAY) thresh_tublin,binary_tublin=cv2.threshold(tublin, 30, 255,cv2.THRESH_BINARY) vash2=cv2.imread(path2) vash2=cv2.cvtColor(vash2,cv2.COLOR_BGR2GRAY) thresh_vash2,binary_vash2=cv2.threshold(vash2, 30, 255,cv2.THRESH_BINARY) connectivity=4 num_labels_tublin, labels_tublin, stats_tublin, centroids_tublin = cv2.connectedComponentsWithStats(binary_tublin, connectivity, cv2.CV_8U) num_labels_vash2, labels_vash2, stats_vash2, centroids_vash2 = cv2.connectedComponentsWithStats(binary_vash2, connectivity, cv2.CV_8U) colors = getColors(num_labels_vash2) dst_tublin = np.ones((binary_tublin.shape[0], binary_tublin.shape[1], 3), dtype=np.uint8) * 0 dst_vash2 = np.ones((binary_vash2.shape[0], binary_vash2.shape[1], 3), dtype=np.uint8) * 0 # for i in range(num_labels): # dst_vash2[labels == i] = colors[i] num_tublin=0 cross_pixel=0 num_vash=0 num_vash_pixel=0 cross_num=0 for i in range(num_labels_tublin): if stats_tublin[i,4]<5000 and stats_tublin[i,4]>10: num_tublin+=1 dst_tublin[labels_tublin == i] = [255,70,90] vash_list=[] for i in range(num_labels_vash2): if stats_vash2[i,4]<100 and stats_vash2[i,4]>3: dst_vash2[labels_vash2 == i] = [255,70,90] num_vash+=1 vash_list.append(i) for i in vash_list: cross=0 temp=0 for pixel_x in range(stats_vash2[i,1],stats_vash2[i,1]+stats_vash2[i,3]): for pixel_y in range(stats_vash2[i,0],stats_vash2[i,0]+stats_vash2[i,2]): if dst_vash2[pixel_x,pixel_y].any()!=np.array([0,0,0]).any(): num_vash_pixel+=1 temp+=1 if dst_tublin[pixel_x,pixel_y].any()!=np.array([0,0,0]).any() and dst_vash2[pixel_x,pixel_y].any()!=np.array([0,0,0]).any(): cross+=1 cv2.rectangle(dst_tublin, (stats_vash2[i,0],stats_vash2[i,1]), (stats_vash2[i,0]+stats_vash2[i,2],stats_vash2[i,1]+stats_vash2[i,3]), (255,255,255), 1) cv2.rectangle(dst_vash2, (stats_vash2[i,0],stats_vash2[i,1]), (stats_vash2[i,0]+stats_vash2[i,2],stats_vash2[i,1]+stats_vash2[i,3]), (255,255,255), 1) if cross!=0: cross_pixel+=temp cross_num+=1 cv2.imwrite('1.jpg',dst_vash2) cv2.imwrite('2.jpg',dst_tublin) # x,y=centroids_vash2[i,:] # if dst_tublin[int(round(x)),int(round(y))].any()!=np.array([0,0,0]).any(): # cross_pixel+=1 # dst_vash2[labels_vash2 == i] = colors[i] vash2_in=cross_pixel/num_vash_pixel vash2_out= (num_vash_pixel-cross_pixel)/num_vash_pixel # vash2_in = cross_num/num_vash # vash2_out = (num_vash-cross_num)/num_vash # a=open('a.txt', 'a') # a.write("--------------------\n") a.write('path:'+str(path1)+'\n') a.write('tubulin:'+str(num_tublin)+'\n') a.write('vash2:'+str(num_vash)+'\n') a.write('vash2 in tubulin:'+str(cross_num)+'\n') a.write('vash2 out of tubulin:'+str(num_vash-cross_num)+'\n') a.write("--------------------\n") a.write("vash2_in/vash2_total:"+str(vash2_in)+'\n') a.write("vash2_out/vash2_total:"+str(vash2_out)+'\n') a.close() if 'Sample 1' in path1 or 'Sample 2' in path1: WT.append([vash2_in,vash2_out]) else: KO.append([vash2_in,vash2_out]) return vash2_in,vash2_out def pixel_detect(path1,path2): tubulin=cv2.imread(path1) vash2=cv2.imread(path2) # vash2 = cv2.GaussianBlur(vash2, (3,3), 0) # tubulin = cv2.GaussianBlur(tubulin, (5, 5), 0) tubulin_hsv=cv2.cvtColor(tubulin,cv2.COLOR_BGR2HSV) vash2__hsv=cv2.cvtColor(vash2,cv2.COLOR_BGR2HSV) h,w,_=vash2__hsv.shape z=range(0,h) d=range(0,w) num_yellow_pixel=0 num_black_pixel=0 num_red_pixel=0 cross_pixel=0 pixels=0 for x in z: for y in d: pixels+=1 if tubulin_hsv[x,y].any()!=np.array([0,0,0]).any(): num_yellow_pixel+=1 if vash2__hsv[x,y].any()!=np.array([0,0,0]).any(): num_red_pixel+=1 if x<h-1 and y<w-1 and x>0 and y>0: if tubulin_hsv[x,y].any()!=np.array([0,0,0]).any(): # (tubulin_hsv[x+1,y].any()!=np.array([0,0,0]).any() and vash2__hsv[x+1,y].any()!=np.array([0,0,0]).any()) or \ # (tubulin_hsv[x,y+1].any()!=np.array([0,0,0]).any() and vash2__hsv[x,y+1].any()!=np.array([0,0,0]).any()) or \ # (tubulin_hsv[x-1,y].any()!=np.array([0,0,0]).any() and vash2__hsv[x-1,y].any()!=np.array([0,0,0]).any()) or \ # (tubulin_hsv[x,y-1].any()!=np.array([0,0,0]).any() and vash2__hsv[x,y-1].any()!=np.array([0,0,0]).any()): cross_pixel+=1 # if tubulin_hsv[x,y].any()!=np.array([0,0,0]).any() and vash2__hsv[x,y].any()!=np.array([0,0,0]).any(): # cross_pixel+=1 # if tubulin_hsv[x,y].any()==np.array([0,0,0]).any() and vash2__hsv[x,y].any()!=np.array([0,0,0]).any(): # out_tubulin_pixel+=1 if tubulin_hsv[x,y].any()==np.array([0,0,0]).any() and vash2__hsv[x,y].any()==np.array([0,0,0]).any(): num_black_pixel+=1 # if 'Sample 4' in path1: # cross_pixel=cross_pixel+int(num_red_pixel*0.07) # else: # cross_pixel=cross_pixel-int(num_red_pixel*0.07) # vash2_in=cross_pixel/num_yellow_pixel red_vash2_in=cross_pixel/num_red_pixel red_vash2_out= (num_red_pixel-cross_pixel)/num_red_pixel a=open('20201202_cell4_pixel.txt', 'a') # a.write("--------------------\n") a.write('path:'+str(path1)+'\n') # a.write('cross_pixel:'+str(cross_pixel)+'\n') # a.write('tubulin:'+str(num_yellow_pixel)+'\n') # a.write('vash2:'+str(num_red_pixel)+'\n') a.write('map4 overlaping tubulin:'+str(cross_pixel)+'\n') a.write('map4 out of tubulin:'+str(num_red_pixel-cross_pixel)+'\n') # a.write("black:"+str(num_black_pixel)+'\n') # a.write("cross_pixel/tubulin:"+str(vash2_in)+'\n') a.write("--------------------\n") a.write("map4_overlap/vash_total:"+str(red_vash2_in)+'\n') a.write("map4_out/vash_total:"+str(red_vash2_out)+'\n') a.close() if 'Sample 5' in path1: # if 'Sample 1' in path1 or 'Sample 2' in path1: WT.append([red_vash2_in,red_vash2_out]) else: KO.append([red_vash2_in,red_vash2_out]) # print('cross_pixel',cross_pixel) # print('tubulin',num_yellow_pixel) # print("cross_vash2/tubulin:",vash2_in) # print("outoftubl_vash2/black:",vash2_out) return red_vash2_in,red_vash2_out # #if HSV[2,3]==[178 ,255 ,204]: # # print("红色") # cv2.imshow("ex_HSV",ex_HSV) # cv2.imshow("HSV",HSV) # cv2.imshow('image',image)#显示img # #cv2.setMouseCallback("imageHSV",getpos)# # cv2.waitKey(0) # if __name__ == '__main__': data_path = './STED_COLOR/20201202/' WT=[] KO=[] fileList = os.listdir(data_path) record_pixel_rate=[] for path in fileList: paths_list=sorted(os.listdir(os.path.join(data_path,path))) for subpath in paths_list: subpaths=sorted(os.listdir(os.path.join(data_path,path,subpath)),key= lambda x:int(x[5:])) print(subpaths) for subsubpath in subpaths: file_list=sorted(os.listdir(os.path.join(data_path,path,subpath,subsubpath))) for index,file in enumerate(file_list): if index%2==0 and ('merge' not in file): print(os.path.join(data_path,path,subpath,subsubpath,file)) # connect->pixel_detect # dst_tublin,dst_vash2 = connectivity_clump_detect(os.path.join(data_path,path,subpath,subsubpath,file_list[index+1]),os.path.join(data_path,path,subpath,subsubpath,file_list[index])) # dst_tublin,dst_vash2 = connectivity_detect(os.path.join(data_path,path,subpath,subsubpath,file_list[index]),os.path.join(data_path,path,subpath,subsubpath,file_list[index+1])) PCC(os.path.join(data_path,path,subpath,subsubpath,file_list[index+1]),os.path.join(data_path,path,subpath,subsubpath,file_list[index])) vash2_in,vash2_out = pixel_detect(os.path.join(data_path,path,subpath,subsubpath,file_list[index+1]),os.path.join(data_path,path,subpath,subsubpath,file_list[index])) # vash2_in,vash2_out = pixel_detect(os.path.join(data_path,path,subpath,subsubpath,file_list[index]),os.path.join(data_path,path,subpath,subsubpath,file_list[index+1])) # vash2_in,vash2_out = pixel_detect(os.path.join(data_path,path,subpath,subsubpath,file_list[index]),os.path.join(data_path,path,subpath,subsubpath,file_list[index+1]),tubulin,vash2) ## vash_num_calculate # vash2_in,vash2_out = vash_num_detect(os.path.join(data_path,path,subpath,subsubpath,file_list[index]),os.path.join(data_path,path,subpath,subsubpath,file_list[index+1])) np.savetxt('1213_s5_local_pixel.txt',WT) np.savetxt('1213_s6_local_pixel.txt',KO) WT=np.loadtxt('1213_s5_local_pixel.txt') KO=np.loadtxt('1213_s6_local_pixel.txt') WT=np.array(WT) KO=np.array(KO) plt.plot(range(0,len(WT),1),WT[:,0],'o',label = 's5 in') plt.plot(50,np.mean(WT[:,0]),'o',label = 's5 in (mean)') print(np.mean(WT[:,0])) plt.text(50, np.mean(WT[:,0])+0.02, round(np.mean(WT[:,0]),2), ha='center', va='bottom', fontsize=10) plt.plot(range(100,100+len(KO),1),KO[:,0],'p',label = 's6 in') plt.plot(150,np.mean(KO[:,0]),'p',label = 's6 in (mean)') print(np.mean(KO[:,0])) plt.text(150, np.mean(KO[:,0])+0.02, round(np.mean(KO[:,0]),2), ha='center', va='bottom', fontsize=10) plt.plot(range(200,200+len(WT),1),WT[:,1],'>',label = 's5 out') plt.plot(250,np.mean(WT[:,1]),'>',label = 's5 out (mean)') print(np.mean(WT[:,1])) plt.text(250, np.mean(WT[:,1])+0.02, round(np.mean(WT[:,1]),2), ha='center', va='bottom', fontsize=10) plt.plot(range(300,300+len(KO),1),KO[:,1],'*',label = 's6 out') plt.plot(350,np.mean(KO[:,1]),'p',label = 's6 out (mean)') print(np.mean(KO[:,1])) plt.text(350, np.mean(KO[:,1])+0.02, round(np.mean(KO[:,1]),2), ha='center', va='bottom', fontsize=10) plt.legend(loc='upper left',ncol=2) plt.show() # wt=np.loadtxt('wt.txt') # ko=np.loadtxt('ko.txt') # plt.plot(range(0,len(wt),1),wt[:,0],'o') # plt.plot(range(500,500+len(ko),1),ko[:,0],'p') # plt.plot(range(1000,1000+len(wt),1),wt[:,1],'>') # plt.plot(range(1500,1500+len(ko),1),ko[:,1],'*') # plt.show()

39.715686

206

0.593989

2,494

16,204

3.669206

0.080593

0.032783

0.055295

0.028849

0.780789

0.702874

0.656868

0.639056

0.632062

0.623866

0

0.070219

0.223957

16,204

408

207

39.715686

0.657495

0.243397

0

0.470588

0

0.066968

0.029545

0

1

0.021008

false

0

0.021008

0

0.063025

0.033613

0

null

0

1

0

1

0

null

0

2

d6ba53ff8f8d9a8c5b5c3fb8bddc1c05b58ae2e9

1,392

py

Python

Fund.py

jacobgarder/FundInfo-Python

43cdd60454342f1592f4a748616d270d9707c042

[ "MIT" ]

null

Fund.py

jacobgarder/FundInfo-Python

43cdd60454342f1592f4a748616d270d9707c042

[ "MIT" ]

null

Fund.py

jacobgarder/FundInfo-Python

43cdd60454342f1592f4a748616d270d9707c042

[ "MIT" ]

null

from TAA import TAA class Fund: def __init__(self, id, name): self.id = id self.name = name self.NAV = TAA.getNAV(id) self.MA6 = TAA.getMA(id, 120) self.MA10 = TAA.getMA(id, 200) self.oneMonth = TAA.getChangePercent(id, "month") self.threeMonths = TAA.getChangePercent(id, "three_months") self.sixMonths = TAA.getChangePercent(id, "six_months") self.oneYear = TAA.getChangePercent(id, "year") self.average = (self.oneMonth + self.threeMonths + self.sixMonths + self.oneYear) / 4 def getMA6Indicator(self): return (self.NAV - self.MA6) / self.MA6 * 100.0 def getMA10Indicator(self): return (self.NAV - self.MA10) / self.MA10 * 100.0 def getAverageReturns(self): return (self.average) def getFormattedHeader(): return '{:>10}{:>32}{:>10}{:>10}{:>10}{:>10}{:>10}{:>10}{:>10}{:>10}'.format( "Id", "Name", "Current", "MA6 %", "MA10 %", "1 month", "3 months", "6 months", "1 year", "1/3/6/12") def getFormattedData(self): return '{:>10}{:>32}{:>10.2f}{:>10.2f}{:>10.2f}{:>10.2f}{:>10.2f}{:>10.2f}{:>10.2f}{:>10.2f}'.format( self.id, self.name[:30], self.NAV, self.getMA6Indicator(), self.getMA10Indicator(), self.oneMonth, self.threeMonths, self.sixMonths, self.oneYear, self.average)

38.666667

112

0.576149

176

1,392

4.522727

0.267045

0.040201

0.052764

0.070352

0.241206

0.188442

0.168342

0.040201

0

0.086223

0.233477

1,392

35

113

39.771429

0.659794

0

0.074074

0.16954

0.103448

0

1

0.222222

false

0

0.037037

0.185185

0.481481

0

null

0

null

0

1

0

1

0

2

d6d2f07be18b317e54e8f317ec95c5951fca8af6

747

py

Python

import_files.py

ravielakshmanan/arcgis

678abffe99ef82a5a836573835b8662fe05ac43f

[ "MIT" ]

null

import_files.py

ravielakshmanan/arcgis

678abffe99ef82a5a836573835b8662fe05ac43f

[ "MIT" ]

null

import_files.py

ravielakshmanan/arcgis

678abffe99ef82a5a836573835b8662fe05ac43f

[ "MIT" ]

null

from google.cloud import storage import os client = storage.Client() bucket = client.get_bucket('noah-water.appspot.com') blobs = bucket.list_blobs(prefix='trends3/Part6') os.system("gsutil acl ch -u qqbi676scrf4nlgyg6e3hqrm6e@speckle-umbrella-16.iam.gserviceaccount.com:W gs://noah-water.appspot.com") for blob in blobs: print(blob.name) file_read_perm = "gsutil acl ch -u qqbi676scrf4nlgyg6e3hqrm6e@speckle-umbrella-16.iam.gserviceaccount.com:R gs://noah-water.appspot.com/" + blob.name os.system(file_read_perm) # print(file_read_perm) file_import = "gcloud sql import csv precipitation gs://noah-water.appspot.com/" + blob.name + " --database=prec_anomaly --table=precipitation_trend -q" os.system(file_import) # print(file_import)

39.315789

153

0.776439

110

747

5.154545

0.454545

0.063492

0.112875

0.134039

0.407407

0.37037

0.268078

0

0.029455

0.091031

747

19

154

39.315789

0.805596

0.053548

0

0.166667

0.551773

0.424113

0

1

0

false

0

0.333333

0

0.333333

0.083333

0

null

0

1

null

0

1

0

2

d6dc7e9dfb30c4748a187db0ff762043935ab521

1,270

py

Python

shims/SeeedStudios/grove_py/counterfit_shims_grove/grove_relay.py

CallumTarttelin/CounterFit

0f8b2ad8a884339857979dce6aa6dccc9644756b

[ "MIT" ]

86

2021-03-25T22:01:37.000Z

2022-03-29T19:09:58.000Z

shims/SeeedStudios/grove_py/counterfit_shims_grove/grove_relay.py

CallumTarttelin/CounterFit

0f8b2ad8a884339857979dce6aa6dccc9644756b

[ "MIT" ]

13

2021-03-25T22:00:31.000Z

2022-03-30T17:59:06.000Z

shims/SeeedStudios/grove_py/counterfit_shims_grove/grove_relay.py

CallumTarttelin/CounterFit

0f8b2ad8a884339857979dce6aa6dccc9644756b

[ "MIT" ]

43

2021-07-11T04:12:15.000Z

2022-03-22T01:42:23.000Z

''' This is the code for - `Grove - Relay <https://www.seeedstudio.com/s/Grove-Relay-p-769.html>`_ Examples: .. code-block:: python import time from counterfit_connection import CounterFitConnection from counterfit_shims_grove.grove_relay import GroveRelay # Init the connection to the CounterFit Virtual IoT Device app CounterFitConnection.init('127.0.0.1', 5000) # connect to pin 5(slot D5) PIN = 5 relay = GroveRelay(PIN) while True: relay.on() time.sleep(1) relay.off() time.sleep(1) ''' # pylint: disable=import-error from counterfit_connection import CounterFitConnection __all__ = ["GroveRelay"] class GroveRelay(): ''' Class for Grove - Relay Args: pin(int): number of digital pin the relay connected. ''' def __init__(self, pin): self.__pin = pin # pylint: disable=invalid-name def on(self) -> None: ''' light on the led ''' CounterFitConnection.set_actuator_boolean_value(self.__pin, True) def off(self) -> None: ''' light off the led ''' CounterFitConnection.set_actuator_boolean_value(self.__pin, False)

23.518519

77

0.607874

146

1,270

5.109589

0.472603

0.053619

0.034853

0.080429

0.284182

0.150134

0

0.020045

0.292913

1,270

53

78

23.962264

0.81069

0.630709

0

0.025575

0

1

0.333333

false

0

0.111111

0

0.555556

0

null

0

null

0

1

0

1

0

2

ba53b3a64c0803deb7410b156a56759bff266edf

999

py

Python

link/items.py

KiriKira/LinkSpider

a832e2eaac39f31735664eb1c0ddc1de79fa887d

[ "Apache-2.0" ]

1

2018-04-05T06:11:00.000Z

link/items.py

KiriKira/LinkSpider

a832e2eaac39f31735664eb1c0ddc1de79fa887d

[ "Apache-2.0" ]

null

link/items.py

KiriKira/LinkSpider

a832e2eaac39f31735664eb1c0ddc1de79fa887d

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # https://doc.scrapy.org/en/latest/topics/items.html import scrapy class IndexItem(scrapy.Item): tag_qiangdan = scrapy.Field() class DetailItem(scrapy.Item): tag = scrapy.Field() pinlei = scrapy.Field() mingchen = scrapy.Field() leixing = scrapy.Field() yaoqiu01 = scrapy.Field() yaoqiu02 = scrapy.Field() guige = scrapy.Field() chechang = scrapy.Field() chexing = scrapy.Field() yunfei = scrapy.Field() chufa01 = scrapy.Field() chufa02 = scrapy.Field() chufa03 = scrapy.Field() mudi01 = scrapy.Field() mudi02 = scrapy.Field() mudi03 = scrapy.Field() zhuangche01 = scrapy.Field() zhuangche02 = scrapy.Field() daohuo01 = scrapy.Field() daohuo02 = scrapy.Field() chufa_shengnumber = scrapy.Field() chufa_shinumber = scrapy.Field() mudi_shengnumber = scrapy.Field() mudi_shinumber = scrapy.Field()

24.975

52

0.65966

113

999

5.787611

0.469027

0.420489

0.039755

0

0.031606

0.208208

999

39

53

25.615385

0.795196

0.14014

0

1

0

false

0

0.035714

0

1

0

null

1

0

null

0

1

0

2

ba5498b8600bafbe767e96e7573a78bb3a0ea603

2,357

py

Python

OnDemandPublicationScript.py

muneebmallick/OndemandPublication-pyscript

14220908cf234c72b6e0d8078e1cfef49acd0dde

[ "MIT" ]

null

OnDemandPublicationScript.py

muneebmallick/OndemandPublication-pyscript

14220908cf234c72b6e0d8078e1cfef49acd0dde

[ "MIT" ]

null

OnDemandPublicationScript.py

muneebmallick/OndemandPublication-pyscript

14220908cf234c72b6e0d8078e1cfef49acd0dde

[ "MIT" ]

null

import getpass import datetime import requests import gzip import easywebdav import os from bs4 import BeautifulSoup as bs user = raw_input("Username: ") password = getpass.getpass() date = raw_input("As of Date (mmddYYYY): ") #add URL from where the files are required to be downloaded. archive_url = 'URL' def get_file_link(): auth = ('user', 'pass') r = requests.get(archive_url, auth=auth, verify=False) soup = bs(r.content, 'html.parser') links = soup.findAll('a') file_links = [archive_url + link['href'] for link in links if date in link['href']] return file_links def download_big_file(url): auth = ('user', 'pass') local_filename = url.split('/')[-1] r = requests.get(url, stream=True, auth=auth, verify=False) with open(local_filename, 'wb') as f: for chunk in r.iter_content(chunk_size=1024): if chunk: f.write(chunk) return local_filename def download_file(url): auth = ('user', 'pass') files = [] for link in url: local_filename = 'C:/TempFiles/' + link.split('/')[-1] with requests.session() as s: f = s.get(link, auth=auth, verify=False) with open(local_filename, 'wb') as g: g.write(f.content) g.close() files.append(local_filename) return files def ungzip(files): filename = [] for file in files: file_name = str(file.split('.')[0] + ".xml") with gzip.open(file, 'rb') as f: with open(file_name, 'wb') as u: u.write(f.read()) os.remove(file) #Checking the file name for a specific word. if "MTM" in file: filename.insert(0,file_name) else: filename.append(file_name) return filename def copy_to_datafeed(file): webdav = easywebdav.connect( host = 'datafeeds.na.dir.mmallick.com', username = user, port = '443', protocol = 'https', password = password, verify_ssl = "C:/pyth/mmallick.pem") _file = '/pub-dev/' + file.split('/')[-1] webdav.upload(file, _file) if __name__ == "__main__": print '\n' +"Downloading BAPI Links"+ '\n' bapi_links = get_file_link() # print bapi_links print '\n' + "Downloading Bapi Files" + '\n' gfiles = download_file(bapi_links) # print gfiles print '\n' + "Unzipping Bapi Files to a TEMP Location" + '\n' unfiles = ungzip(gfiles) # print unfiles print '\n' + "Copying Bapi Files to a pub-dev Data Feed Location" + '\n' for file in unfiles: copy_to_datafeed(file) os.remove(file)

20.675439

85

0.674586

355

2,357

4.352113

0.349296

0.050485

0.023301

0.036893

0.081553

0.056958

0

0.006708

0.177768

2,357

114

86

20.675439

0.790506

0.061943

0

0.068493

0

0.15179

0.01314

0

null

0.082192

0.09589

null

0.054795

0

null

0

null

0

1

0

1

0

2

ba5a94482a11f5fee59779e8dcc15a40991e4772

2,027

py

Python

compute_masks.py

MuhammadHamed/Deep-tracking

09dd43cff30bbb3763cfc591dcbb372e85fd2618

[ "MIT" ]

null

compute_masks.py

MuhammadHamed/Deep-tracking

09dd43cff30bbb3763cfc591dcbb372e85fd2618

[ "MIT" ]

null

compute_masks.py

MuhammadHamed/Deep-tracking

09dd43cff30bbb3763cfc591dcbb372e85fd2618

[ "MIT" ]

null

import scipy.io, os from scipy.misc import imsave import numpy as np import cPickle from PIL import Image import shutil import matplotlib.pyplot as plt # used for producing the image with only the labels when "show masks only" in the annotation tool is pressed def create_mask_for_image(image_array, image_annotation, label_number): image_height = image_array.shape[0] image_width = image_array.shape[1] # background is 1 image_array_only_mask = np.ones_like(image_array)*255 # Do nothing if there is no annotations if image_annotation == 0: print "No annotations for current image" return image_array_only_mask number_of_annotations = len(image_annotation) label_number_index = -1 if label_number == 0: for annotation in image_annotation: image_array_only_mask[annotation[1]:annotation[3],annotation[0]:annotation[2]] = image_array[annotation[1]:annotation[3],annotation[0]:annotation[2]] else: # get the index of the label_number for i in range(0, number_of_annotations): if label_number == image_annotation[i][-1]: label_number_index = i break # check if the their is annotation for the given label_number if label_number_index == -1: print "No annotations for label number {} for current image".format(label_number) # make an image array with white background and only the annotated labels showing else: image_array_only_mask[image_annotation[label_number_index][1]:image_annotation[label_number_index][3],image_annotation[label_number_index][0]:image_annotation[label_number_index][2]] = image_array[image_annotation[label_number_index][1]:image_annotation[label_number_index][3],image_annotation[label_number_index][0]:image_annotation[label_number_index][2]] return image_array_only_mask # loads the annotation frames from the annotation file def load_annotationsations_from_file(file_name): f = file(file_name, 'rb') frame_rectangle_pairs = cPickle.load(f) f.close() return frame_rectangle_pairs

36.854545

363

0.77109

305

2,027

4.859016

0.288525

0.133603

0.118758

0.175439

0.317139

0.28475

0.232119

0.17274

0

0.016279

0.151455

2,027

54

364

37.537037

0.845349

0.190923

0

0.117647

0

0.052696

0

null

0

0.205882

null

0.058824

0

null

0

1

0

null

0

1

0

2

ba61d400f8b57fa12cc8c3893ae9262d26ff44e7

22,181

py

Python

scripts/catalog-manager.py

jtheoof/dotfiles

6d820a685200e6b4cac52638de366123ff8e3677

[ "MIT" ]

13

2015-01-31T04:38:12.000Z

2020-06-10T09:11:52.000Z

scripts/catalog-manager.py

jtheoof/dotfiles

6d820a685200e6b4cac52638de366123ff8e3677

[ "MIT" ]

null

scripts/catalog-manager.py

jtheoof/dotfiles

6d820a685200e6b4cac52638de366123ff8e3677

[ "MIT" ]

5

2016-05-12T01:44:05.000Z

2020-12-06T21:30:36.000Z

#!/usr/bin/python ## @package catalog-manager # Provides general functions to parse SQ3 files # and generate SQL code. # # Can manage both 3D and MATERIALS (with TEXTURES). import csv import fnmatch import getopt import logging import os import platform import random import re import shutil import string import sys import time ## Main logger # # There are two loggers: # 1. A file logger starting a WARNING level # 2. A console logger starting a DEUBG level logger = logging.getLogger('catalog-manager') logger.setLevel(logging.DEBUG) fh = logging.FileHandler('catalog-manager.log') fh.setLevel(logging.WARNING) ch = logging.StreamHandler() ch.setLevel(logging.DEBUG) formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') fh.setFormatter(formatter) ch.setFormatter(formatter) logger.addHandler(fh) logger.addHandler(ch) ## Deprecated KIND_FURNITURE = 1 KIND_MATERIAL = 2 KIND_FRAME = 3 ## Catalogs CATALOGS = { 'Generique': 1, 'Fly': 2, 'Castorama': 3, 'Made': 4, 'Decoondemand': 5 } CATALOG_GENERIQUE = 1 ## Function for making unique non-existent file name # with saving source file extension. # # Credit goes to Denis Barmenkov: # http://code.activestate.com/recipes/577200-make-unique-file-name/ def add_unique_postfix(fn): path, name = os.path.split(fn) name, ext = os.path.splitext(name) make_fn = lambda i: os.path.join(path, '%s_%d%s' % (name, i, ext)) for i in xrange(1, sys.maxint): uni_fn = make_fn(i) if not os.path.exists(uni_fn): return uni_fn return None ## Increase occurence of a key in a dictionary. def increment_occurence(d, k): if k not in d: d[k] = 1 else: d[k] += 1 ## Parse the CSV file used to keep track of ids in a catalogue. # # The ids are used in order to avoid duplicates and make proper # copies of SQ3 for SQCM. def parse_csv(filename): files = {} try: read = csv.reader(open(filename, "rb")) except IOError: return files ids_occ = {} logger.info("parsing: %s", filename) for r in read: iden = r[0] increment_occurence(ids_occ, iden) if iden in files: pass else: files[iden] = { 'path': '' } for k, v in [(k, v) for k, v in ids_occ.items() if v > 1]: logger.warning('%s found %d times in csv' % (k, v)) return files ## Parse a 'materials' file (usually Style.xls) # # Fills in a dictionary where the key is the id of the material. # The value is another dictionary containing 'cat_name_fr' and 'texture'. # Ex: # { # 'sketch_in_the_grass_06': { # 'cat_name_fr': 'Papier peint a motifs', # 'texture': 'in_the_grass_06' # } # } def parse_material_xls(xls, textures): import xlrd logger.info("parsing xml file: %s" % xls) try: book = xlrd.open_workbook(xls, formatting_info=True) except IOError: logger.error("unable to open: %s" % xls) sys.exit(2) materials = {} for i in range(book.nsheets): sheet = book.sheet_by_index(i) # Invalid sheet if sheet.nrows < 5 or sheet.ncols < 17: continue for row in range(4, sheet.nrows): ide = unicode(sheet.cell(row, 0).value).strip() lib = string.capwords(unicode(sheet.cell(row, 3).value)) typ = unicode(sheet.cell(row, 5).value) cat = unicode(sheet.cell(row, 6).value) tex = unicode(sheet.cell(row, 15).value).strip() tep = "" # Texture path if not ide: continue logger.debug("material: %s - texture: %s" % (ide, tex)) if len(typ): typ = typ[0].upper() + typ[1:] if tex: if tex not in textures: logger.error("unable to find texture: %s for: %s" % (tex, ide)) continue else: tep = textures[tex]['path'] if ide in materials: logger.error("duplicate key: %s" % ide) continue buf = { 'cat_name_fr': lib if lib != '' else None, 'texture': tep } materials[ide] = buf return materials ## Find all textures (usually jpg files) in CG/TEXTURES/ # # Fills in a dictionary of the basename (without the extension) with a path. # Ex: # { # 'in_the_grass_06': { # 'path': './CG/TEXTURES/garden/in_the_grass_06.jpg' # } # } def find_textures(directory, extensions=["jpg"]): logger.info('looking for textures in %s' % os.path.abspath(directory)) textures = {} for root, dirnames, filenames in os.walk(directory): for f in filenames: n, e = os.path.splitext(f) if e[1:].lower() in extensions: path = os.path.join(root, f) if n in textures: logger.error("texture: %s already found here: %s" % (path, textures[n]['path'])) sys.exit(2) else: textures[n] = { 'path': path } return textures ## Find geometry files (usually sq3 files) in CG/3D/CATALOG # # Fills in a dictionary based on catalog_geometryid. # Ex: # { # 'generic_archmodels_05': { # 'sq3': 'archmodels_05.SQ3', # 'path': './CG/3D/GENERIQUE/.../Beds/archmodels_05/archmodels05.SQ3', # 'type': 'Beds', # } # } def find_geometry(directory, catalog, extension="sq3", previous_files={}, only_new=True): logger.info('looking for files in %s' % os.path.abspath(directory)) catalog = catalog.lower() ids = {} old = {} ids_occ = {} ids_rem = previous_files.copy() # this dict should be empty at the end sep = os.sep if os.sep != '\\' else '\\\\' for root, dirnames, filenames in os.walk(directory): for f in filenames: n, e = os.path.splitext(f) if e[1:].lower() == extension: tmp, bas = os.path.split(root) ide = '%s_%s' % (catalog, bas) tmp2, typ = os.path.split(tmp) increment_occurence(ids_occ, ide) new = { 'sq3': f, 'path': '%s%s%s' % (root, os.sep, f), 'type': typ, } if ide in previous_files: # Remove key try: ids_rem.pop(ide) except: pass if only_new: continue else: old[ide] = new else: ids[ide] = new if len(ids_rem): for k, v in ids_rem.items(): logger.error('id: %s was removed be careful' % k) sys.exit(2) for k, v in [(k, v) for k, v in ids_occ.items() if v > 1]: logger.warning('id: %s found %d times' % (k, v)) if k in ids: ids.pop(k) return ids, old ## Load a Dictionary containing unique names for geometry. def load_names(): dictionary = os.path.join(os.curdir, "NAMES", "Dictionary.txt") names = open(dictionary, "rt") return [ l.strip() for l in names.readlines() ] ## Save the dictionary, removing the names that were used # in the process of generating the CSV file. def save_names(names): dictionary = os.path.join(os.curdir, "NAMES", "Dictionary.txt") new_names = open(dictionary, "wt") new_names.writelines([ '%s\r\n' % n for n in names ]) ## Generate CSV files. # # This function will generate 3 CSV files: # One for general geometries to keep track of all ids. # One for new goemetries added to make it easier for import in Excel. # It's naming convention is: catalog_geometry_X.csv where X is unique. # One for new categories added when new geometry is found. def generate_csv(files, output_name, random_names=True): names = load_names() pattern = os.sep if os.sep != '\\' else '\\\\' lines = [] categories = set() xl_path = os.path.join(os.curdir, "EXCEL") for k, v in files.items(): if len(names) == 0: logger.error("no more names in dictionary, please insert new ones") sys.exit(2) r = random.randint(0, len(names) - 1) f = v['path'] t = v['type'] splits = re.split(pattern, f) splits = splits[3:] # Remove './CG/3D/GENERIQUE/' cat = os.sep.join(splits[0:-2]) if random_names: nam = names.pop(r) else: nam = "" if cat not in categories: categories.add(cat) line = [k, k + ".SQ3", v['sq3'], nam, t] # [ID, File.sq3, Type] lines.append(line) lines_s = sorted(lines, key=lambda x: x[0]) categories_s = sorted(categories) save_names(names) geometry_name = '%s_geometry.csv' % output_name.lower() filename = os.path.join(xl_path, geometry_name) logger.info("updating: %s" % filename) output = open(filename, mode='ab') writer = csv.writer(output) for l in lines_s: writer.writerow(l) filename = os.path.join(xl_path, '%s_geometry.csv' % output_name.lower()) geometry_unique = add_unique_postfix(filename) logger.info("generating: %s" % geometry_unique) output = open(geometry_unique, mode='wb') writer = csv.writer(output) for l in lines_s: writer.writerow(l) filename = os.path.join(xl_path, '%s_category.csv' % output_name.lower()) category_name = add_unique_postfix(filename) logger.info("generating: %s" % category_name) catego = open(category_name, 'wb') writer = csv.writer(catego) for c in categories_s: splits = re.split(pattern, c) writer.writerow(splits) ## Retrieve metadata of a given filename. def get_file_metadata(filename): stat_info = os.stat(filename) return stat_info ## Find out if a file needs to be updated. # # If origin is newer than copy, this function will return true. # Otherwise it will return false. def need_update(origin, copy): ori_info = get_file_metadata(origin) cpy_info = get_file_metadata(copy) return cpy_info.st_mtime < ori_info.st_mtime ## Copy a file from 'fr' to 'to' if it needs an update. def copy_file(ide, fr, to): try: if os.path.exists(to): if need_update(fr, to): logger.warning("updating file: %s" % to) shutil.copy(fr, to) else: shutil.copy(fr, to) except: logger.error("unable to copy: %s for id: %s" % (fr, ide)) ## Flaten all textures from a material catalog for easier SQCM management. def tex_to_sqcm(materials, catalog): path_out = os.path.join(os.curdir, "CG", "MATERIALS") path_out = os.path.join(path_out, "%s_SQCM" % catalog.split("_")[0]) logger.info("generating sqcm tree to: %s_SQCM" % path_out) if not os.path.exists(path_out): logger.info("creating directory: %s" % path_out) os.makedirs(path_out) for k, v in materials.items(): texture = v['texture'] if not texture: continue filename = os.path.basename(texture) logger.debug("checking to copy: %s" % filename) tex_sqcm = os.path.join(path_out, filename) # Update texture if needed copy_file(k, texture, tex_sqcm) ## Flaten all geometries from a 3D catalog for easier SQCM management. # # It will also look for thumbnails and copy them if needed. def sq3_to_sqcm(ids, catalog): logger.info("generating sqcm tree to: %s_SQCM" % catalog) pattern = os.sep if os.sep != '\\' else '\\\\' for k, v in ids.items(): sq3 = v['path'] path, filename = os.path.split(sq3) spl = re.split(pattern, sq3) out = spl[3] + "_SQCM" las = spl[-2] typ = v['type'] thu = os.path.join(path, "%s_v77.jpg" % las) big = os.path.join(path, "%s_v0001.jpg" % las) pat = os.path.join(os.curdir, "CG", "3D", out) if not os.path.exists(pat): logger.info("creating directory: %s" % pat) os.makedirs(pat) sq3_sqcm = os.path.join(pat, "%s.SQ3" % k) thu_sqcm = os.path.join(pat, "%s_v77.jpg" % k) big_sqcm = os.path.join(pat, "%s_v512.jpg" % k) # Update geometry and thumbnails if needed copy_file(k, sq3, sq3_sqcm) copy_file(k, thu, thu_sqcm) copy_file(k, big, big_sqcm) ## Generate SQL based on a Schema file and Database.xls def generate_sql(host, user, passw, db): import MySQLdb as mysql import xlrd con = None cur = None try: con = mysql.connect(host, user, passw , db, use_unicode=True, charset="utf8") cur = con.cursor() sql = os.path.join('SQL', 'schema.sql') # Insert SQL Schema for l in open(sql, 'rt'): cur.execute(l) xls = os.path.join("EXCEL", "Database.xls") book = xlrd.open_workbook(xls, formatting_info=True) for i in range(book.nsheets): sheet = book.sheet_by_index(i) logger.info("processing stylesheet: %s" % sheet.name) if sheet.name == "Category": for row in range(4, sheet.nrows): cate_par_id = cate_cur_id = None for col in range(1, sheet.ncols): cate_par_id = cate_cur_id cat = unicode(sheet.cell(row, col).value).strip() if not cat: continue if col == 1: cat = cat.capitalize() cur.execute("SELECT id FROM nehome_catalog \ WHERE name=%s", cat) data = cur.fetchone() if not data: if cat not in CATALOGS: logger.error("unkown catalog: %s" % cat) logger.info("update dictionary CATALOGS") sys.exit(2) id_cat = CATALOGS[cat] cur.execute("INSERT INTO nehome_catalog \ SET id=%s, name=%s", (id_cat, cat)) cata_cur_id = id_cat logger.debug("created catalogue: %s" % cat) else: cata_cur_id = int(data[0]) logger.debug("catalog id: %d" % cata_cur_id) # Inserting new category if needed cur.execute("SELECT id, id_catalog, name_en, name_fr \ FROM nehome_category \ WHERE name_en=%s AND id_catalog=%s", (cat, cata_cur_id)) data = cur.fetchone() if not data: cur.execute("INSERT INTO nehome_category \ SET name_en=%s, id_catalog=%s", (cat, cata_cur_id)) cur.execute("SELECT LAST_INSERT_ID()") cate_cur_id = int(cur.fetchone()[0]) logger.debug("created category: %s" % cat) else: cate_cur_id = int(data[0]) # Inserting new tree: parent -> child if needed if cate_par_id: # Can occur when two same categories # follow each other if cate_par_id == cate_cur_id: logger.warning("category: %s is looping" % cat) continue cur.execute("SELECT * FROM nehome_cat_arbo \ WHERE id_cat_parent=%s AND \ id_cat_child=%s", (cate_par_id, cate_cur_id)) data = cur.fetchone() if not data: cur.execute("INSERT INTO nehome_cat_arbo \ SET id_cat_parent=%s, \ id_cat_child=%s", (cate_par_id, cate_cur_id)) logger.debug("created arbo: %d -> %d" % (cate_par_id, cate_cur_id)) elif sheet.name == "Geometry": cur.execute("INSERT INTO nehome_kind SET \ id=%s, name_en=%s, name_fr=%s", (1, "Furniture", "Meubles")) for row in range(4, sheet.nrows): iden = unicode(sheet.cell(row, 1).value).strip() geom = unicode(sheet.cell(row, 2).value).strip() fsq3 = unicode(sheet.cell(row, 3).value).strip() name = unicode(sheet.cell(row, 4).value).strip() cate = unicode(sheet.cell(row, 5).value).strip() defr = unicode(sheet.cell(row, 7).value).strip() deen = unicode(sheet.cell(row, 8).value).strip() urlv = unicode(sheet.cell(row, 9).value).strip() cata = iden.split("_")[0].capitalize() typc = ('%s_%s' % (cata, cate.replace(" ", "_"))).lower() id_cata = CATALOGS[cata] logger.debug('geometry: %s - %s - %s - %s' % (iden, name, cate, cata)) # Find corresponding catalogue cur.execute("SELECT id FROM nehome_catalog \ WHERE name=%s", cata) data = cur.fetchone() if not data: logger.error("unable to find catalog: %s" % cata) #sys.exit(2) continue id_cata = int(data[0]) # Find type if exists cur.execute("SELECT id, name FROM nehome_type \ WHERE name=%s", typc) data = cur.fetchone() if not data: # Find category from name and catalog cur.execute("SELECT id FROM nehome_category \ WHERE name_en=%s AND id_catalog=%s", (cate, id_cata)) datb = cur.fetchone() if not datb: logger.error("missing category: %s for: %s (%s)" % (cate, iden, cata)) #sys.exit(2) continue id_cate = int(datb[0]) # Create type if found corresponding category cur.execute("INSERT INTO nehome_type SET name=%s", typc) cur.execute("SELECT LAST_INSERT_ID()") id_type = int(cur.fetchone()[0]) cur.execute("INSERT INTO nehome_type_to_category \ SET id_type=%s, id_category=%s", (id_type, id_cate)) else: id_type = int(data[0]) cur.execute("INSERT INTO nehome_object \ SET id=%s, name_en=%s, name_fr=%s, \ desc_en=%s, desc_fr=%s, url=%s, \ sq3_sqcm=%s, sq3_origin=%s, \ id_type=%s, id_catalog=%s, id_kind=%s", ( iden, name, name, deen, defr, urlv, geom, fsq3, id_type, id_cata, 1)) # Insertion of objects is over # Now it's time to insert more type_to_categories cur.execute(" \ SELECT id, id_catalog, name_en \ FROM nehome_category c \ WHERE c.id_catalog=%s \ ORDER BY c.name_en", CATALOGS['Generique']) data = cur.fetchall() # For each name found in leaf category, # attach brand type to generic category for row_a in data: cur.execute(" \ SELECT id, id_catalog, name_en, id_type \ FROM nehome_category c \ INNER JOIN nehome_type_to_category tc \ ON tc.id_category=c.id \ WHERE c.name_en=%s AND c.id_catalog>%s \ GROUP BY id", (row_a[2], CATALOGS['Generique'])) datb = cur.fetchall() for row_b in datb: cur.execute(" \ INSERT INTO nehome_type_to_category \ SET id_type=%s, id_category=%s", (row_b[3], row_a[0])) elif sheet.name == "Label": for row in range(4, sheet.nrows): cate = unicode(sheet.cell(row, 1).value).strip() cate_en = unicode(sheet.cell(row, 2).value).strip() cate_fr = unicode(sheet.cell(row, 3).value).strip() #logger.debug('label: %s - %s - %s' % # (cate, cate_en, cate_fr)) cur.execute("SELECT id FROM nehome_category \ WHERE name_en=%s", cate) data = cur.fetchall() if not data: #logger.info("category: %s does not exist" % cate) continue for d in data: cur.execute("UPDATE nehome_category \ SET name_en=%s, name_fr=%s \ WHERE id=%s", (cate_en, cate_fr, int(d[0]))) # Checking missing translations cur.execute(" \ SELECT c.id, c.name_en FROM nehome_category c \ INNER JOIN nehome_type_to_category tc \ ON c.id=tc.id_category \ INNER JOIN nehome_type t ON t.id=tc.id_type \ WHERE name_fr IS NULL \ GROUP BY name_en") data = cur.fetchall() for row in data: logger.warning("missing translation for category: %s", row[1]) else: logger.warning("unkown sheet name: %s" % sheet.name) # Update name_fr for Brands cur.execute("UPDATE nehome_category SET name_fr=name_en \ WHERE name_fr IS NULL;") except mysql.Error, e: logger.error('mysql error: (%d - %s)' % (e.args[0], e.args[1])) con.rollback() except IOError, e: logger.error('IOError: %s' % str(e)) con.commit() ## Import all geometries from a catalog. # # This is a 4-step process: # 1. Parse a persistent CSV file to grab previous ids. # 2. Find new geometry files. # 3. Flaten those files to a directory for SQCM. # 4. Generate the corresponding CSV files for import in Database.xls def import_catalog(catalog): logger.info("importing 3d catalogue: %s" % catalog) filename = os.path.join(os.curdir, "EXCEL", '%s_geometry.csv' % catalog.lower()) ids_prev = parse_csv(filename) catalog_path = os.path.join(os.curdir, "CG", "3D", catalog) new, old = find_geometry(catalog_path, catalog, previous_files=ids_prev, only_new=False) total = dict(new.items() + old.items()) logger.info('found %d SQ3 files (%d new, %d old)' % (len(total), len(new), len(old))) if len(total): sq3_to_sqcm(total, catalog) if catalog == "GENERIQUE": random_names = True else: random_names = False generate_csv(new, catalog, random_names) ## Import Styles.xls from a material catalog. # # This is a 3-step process: # 1. Look for all textures. # 2. Parse Styles.xls to look for materials and grab their textures. # 3. Copy the textures to a flat directory for SQCM. # To find textures, this function looks inside ./CG/TEXTURES def import_material(catalog): logger.info("importing material from catalog: %s" % catalog) path_mat = os.path.join(os.curdir, "CG", "MATERIALS", catalog) path_tex = os.path.join(os.curdir, "CG", "TEXTURES") textures = find_textures(path_tex) mat = parse_material_xls(os.path.join(path_mat, "Styles.xls"), textures) tex_to_sqcm(mat, catalog) ## Print usage of the package. def usage(): basename = os.path.basename(sys.argv[0]); print ''' usage: %s [option] This program is based on the following hierarchy: CG 3D GENERIQUE FLY ... MATERIALS GENERIQUE ... It will, depending on the following options, generate the corresponding _SQCM flat folders to upload to SQCM later in the process Options: --catalog Import specified 3D catalog --material Import specified MATERIAL using MATERIAL/Style.xls --generate-sql Generates SQL from SQL/Database.xls ''' % basename ## Entry point. # # Deals with options and redirects to proper function. def main(): try: opts, argv = getopt.getopt(sys.argv[1:], "h", [ "help", "catalog=", "skip-csv", "generate-sql", "material=" ]) except getopt.GetoptError, err: # print help information and exit: print str(err) # will print something like "option -a not recognized" usage() sys.exit(2) system = platform.system() db = False xls = None catalog = "" material = "" csv = False reorder = False for o, a in opts: if o in ("-h", "--help"): usage() sys.exit() elif o in ("--skip-csv"): pass elif o in ("--catalog"): catalog = a elif o in ("--material"): material = a elif o in ("--generate-sql"): try: import xlrd except ImportError: logger.error('cannot import xlrd python module') logger.warning('cannot parse database file') sys.exit(2) try: import MySQLdb db = True except ImportError: logger.error('cannot import mysql python module') logger.warning('unable to generate database file') sys.exit(2) else: assert False, "unhandled option" ids_prev = {} ids = {} files = [] if db: generate_sql('localhost', 'sq', 'squareclock', 'hbm') elif catalog: import_catalog(catalog) elif material: import_material(material) else: logger.error("you must specify a catalog or generate-sql") usage() sys.exit(2) if __name__ == "__main__": main()

29.69344

77

0.640954

3,327

22,181

4.165615

0.15239

0.016884

0.017317

0.023306

0.251822

0.214085

0.157587

0.119489

0.090844

0.087957

0

0.009686

0.222713

22,181

746

78

29.733244

0.794153

0.180966

0

0.241197

1

0

0.133622

0

0.001761

0

null

0.008803

0.051056

null

0.003521

0

null

0

1

0

null

0

1

0

2

ba81c485c843d10d4436ea1652179b5715124c2b

172

py

Python

beginner_contest/049/B.py

FGtatsuro/myatcoder

25a3123be6a6311e7d1c25394987de3e35575ff4

[ "MIT" ]

null

beginner_contest/049/B.py

FGtatsuro/myatcoder

25a3123be6a6311e7d1c25394987de3e35575ff4

[ "MIT" ]

null

beginner_contest/049/B.py

FGtatsuro/myatcoder

25a3123be6a6311e7d1c25394987de3e35575ff4

[ "MIT" ]

null

import sys input = sys.stdin.readline sys.setrecursionlimit(10 ** 7) h, w = map(int, input().split()) for i in range(h): c = input().strip() print(c) print(c)

17.2

32

0.616279

28

172

3.785714

0.714286

0.113208

0

0.021898

0.203488

172

9

33

19.111111

0.751825

0

0.25

0

1

0

false

0

0.125

0

0.125

0.25

1

0

null

0

1

0

null

0

2

ba83dfc67c0f43b3ac93a551683c1a2ad13ec950

1,348

py

Python

app/commands/footprint.py

BartekSzpak/adversary

231caf58722a5641dd08afe354f2760e89699f3a

[ "Apache-2.0", "CC0-1.0" ]

22

2019-06-08T11:00:02.000Z

2021-09-10T10:22:20.000Z

app/commands/footprint.py

BartekSzpak/adversary

231caf58722a5641dd08afe354f2760e89699f3a

[ "Apache-2.0", "CC0-1.0" ]

39

2019-04-28T13:28:58.000Z

2020-07-28T00:49:45.000Z

app/commands/footprint.py

BartekSzpak/adversary

231caf58722a5641dd08afe354f2760e89699f3a

[ "Apache-2.0", "CC0-1.0" ]

11

2019-04-29T00:58:35.000Z

2021-06-28T02:18:48.000Z

from plugins.adversary.app.commands.command import CommandLine from typing import Callable, Tuple from plugins.adversary.app.commands import parsers def files() -> Tuple[CommandLine, Callable[[str], None]]: command = 'powershell -command "&{$filetype = @(\\"*.docx\\",\\"*.pdf\\",\\"*.xlsx\\"); $startdir = ' \ '\\"c:\\\\Users\\\\\\"; for($k=0;$k -lt $filetype.length; $k++){ $core = dir $startdir\($filetype[$k]) ' \ '-Recurse | Select @{Name=\\"Path\\";Expression={$_.Fullname -as [string]}}; foreach ($alpha in $core) ' \ '{$filename = $alpha.Path -as [string]; [Byte[]] $corrupt_file = [System.IO.File]::ReadAllBytes(' \ '$filename); [Byte[]] $key_file = [System.IO.File]::ReadAllBytes($(' \ '-join($filename, \\".old\\"))); for($i=0; $i -lt $key_file.Length; $i++) { $corrupt_file[$i] = ' \ '$key_file[$i];} [System.IO.File]::WriteAllBytes($(resolve-path $filename), $corrupt_file); ' \ 'Remove-Item $(-join($filename,\\".old\\"))}}}"' return CommandLine('cmd /c {}'.format(command)), parsers.footprint.recover_files def password(user: str, password: str) -> Tuple[CommandLine, Callable[[str], None]]: command = 'net user ' + user + ' ' + password return CommandLine('cmd /c {}'.format(command)), parsers.footprint.password

64.190476

120

0.589021

149

1,348

5.275168

0.436242

0.041985

0.045802

0.058524

0.374046

0.223919

0.127226

0

0.001803

0.1773

1,348

20

121

67.4

0.706943

0

0.3125

0.530415

0.202522

0

1

0.125

false

0.1875

0

0.4375

0.125

0

null

0

1

0

null

0

1

0

2

ba84dce9cdb94b7aecc1455ec03b4a4a56c913e6

1,175

py

Python

core/tests/test_models.py

CezarPoeta/Fusion

284880274f0a62512924207931c1f2a9107f1552

[ "MIT" ]

null

core/tests/test_models.py

CezarPoeta/Fusion

284880274f0a62512924207931c1f2a9107f1552

[ "MIT" ]

null

core/tests/test_models.py

CezarPoeta/Fusion

284880274f0a62512924207931c1f2a9107f1552

[ "MIT" ]

null

import uuid from django.test import TestCase from model_mommy import mommy from core.models import get_file_path class GetFilePathTestCase(TestCase): def setUp(self): self.filename = f'{uuid.uuid4()}.png' def test_get_file_path(self): arquivo = get_file_path('Nome', 'teste.png') self.assertTrue(len(arquivo),len(self.filename)) class ServicoTestCase(TestCase): def setUp(self): self.servico = mommy.make('Servico') def test_str(self): self.assertEquals(str(self.servico),self.servico.servico) class CargoTestCase(TestCase): def setUp(self): self.cargo = mommy.make('Cargo') def test_str(self): self.assertEquals(str(self.cargo),self.cargo.cargo) class FuncionarioTestCase(TestCase): def setUp(self): self.funcionario = mommy.make('Funcionario') def test_str(self): self.assertEquals(str(self.funcionario),self.funcionario.nome) class CaracteristicaTestCase(TestCase): def setUp(self): self.caracteristica = mommy.make('Caracteristica') def test_str(self): self.assertEquals(str(self.caracteristica),self.caracteristica.nome)

24.479167

76

0.697021

143

1,175

5.643357

0.265734

0.089219

0.099133

0.123916

0.332094

0.183395

0

0.001044

0.184681

1,175

47

77

25

0.841336

0

0.3

0

0.057922

0

0.166667

1

0.333333

false

0

0.133333

0

0.633333

0

null

0

null

0

1

0

1

0

2

ba8a89e49ad1ef9c9861e0ea5fe8940af4390c30

545

py

Python

hpo/evals/conll18_eval.py

Dayitva/Parser-v3

45754bb722fabefdb18f67ab4c32a41d24114bca

[ "Apache-2.0" ]

93

2018-08-07T02:54:47.000Z

2022-02-14T13:47:52.000Z

hpo/evals/conll18_eval.py

Dayitva/Parser-v3

45754bb722fabefdb18f67ab4c32a41d24114bca

[ "Apache-2.0" ]

10

2019-01-08T02:37:36.000Z

2021-01-09T07:45:02.000Z

hpo/evals/conll18_eval.py

Dayitva/Parser-v3

45754bb722fabefdb18f67ab4c32a41d24114bca

[ "Apache-2.0" ]

29

2018-07-31T09:08:03.000Z

2022-03-16T14:50:13.000Z

from __future__ import absolute_import from __future__ import division from __future__ import print_function import scripts.conll18_ud_eval as ud_eval from scripts.reinsert_compounds import reinsert_compounds def evaluate(gold_filename, sys_filename, metric): """""" reinsert_compounds(gold_filename, sys_filename) gold_conllu_file = ud_eval.load_conllu_file(gold_filename) sys_conllu_file = ud_eval.load_conllu_file(sys_filename) evaluation = ud_eval.evaluate(gold_conllu_file, sys_conllu_file) return evaluation[metric].f1

32.058824

66

0.833028

76

545

5.434211

0.342105

0.145278

0.116223

0.11138

0.145278

0

0.006173

0.108257

545

16

67

34.0625

0.843621

0

1

0.090909

false

0

0.454545

0

0.636364

0.090909

0

null

0

null

0

1

0

1

0

2

ba938330dbea07848f6aeb3c07cc530fe95b7587

914

py

Python

src/api/controllers/connection/CheckConnectionDatabaseResource.py

PythonDataIntegrator/pythondataintegrator

6167778c36c2295e36199ac0d4d256a4a0c28d7a

[ "MIT" ]

14

2020-12-19T15:06:13.000Z

2022-01-12T19:52:17.000Z

src/api/controllers/connection/CheckConnectionDatabaseResource.py

PythonDataIntegrator/pythondataintegrator

6167778c36c2295e36199ac0d4d256a4a0c28d7a

[ "MIT" ]

43

2021-01-06T22:05:22.000Z

2022-03-10T10:30:30.000Z

src/api/controllers/connection/CheckConnectionDatabaseResource.py

PythonDataIntegrator/pythondataintegrator

6167778c36c2295e36199ac0d4d256a4a0c28d7a

[ "MIT" ]

4

2020-12-18T23:10:09.000Z

2021-04-02T13:03:12.000Z

from injector import inject from domain.connection.CheckDatabaseConnection.CheckDatabaseConnectionCommand import CheckDatabaseConnectionCommand from domain.connection.CheckDatabaseConnection.CheckDatabaseConnectionRequest import CheckDatabaseConnectionRequest from infrastructure.api.ResourceBase import ResourceBase from infrastructure.api.decorators.Controller import controller from infrastructure.cqrs.Dispatcher import Dispatcher @controller() class CheckConnectionDatabaseResource(ResourceBase): @inject def __init__(self, dispatcher: Dispatcher, *args, **kwargs): super().__init__(*args, **kwargs) self.dispatcher = dispatcher def post(self, req: CheckDatabaseConnectionRequest): """ Check Database Connection """ command = CheckDatabaseConnectionCommand(request=req) self.dispatcher.dispatch(command)

38.083333

115

0.762582

72

914

9.569444

0.430556

0.078374

0.058055

0.124819

0

0.171772

914

24

116

38.083333

0.910172

0.027352

0

1

0.117647

false

0

0.352941

0

0.529412

0

null

0

null

0

1

0

1

0

2

ba94b8d454521a32f19d17bede93c216fb9a272e

148

py

Python

Python/BasicDataTypes/finding_the_percentage.py

rho2/HackerRank

4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266

[ "MIT" ]

null

Python/BasicDataTypes/finding_the_percentage.py

rho2/HackerRank

4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266

[ "MIT" ]

null

Python/BasicDataTypes/finding_the_percentage.py

rho2/HackerRank

4d9cdfcabeb20212db308d8e4f2ac1b8ebf7d266

[ "MIT" ]

null

l = {} for _ in range(int(input())): s = input().split() l[s[0]] = sum([float(a) for a in s[1:]])/(len(s)-1) print('%.2f' % l[input()])

24.666667

55

0.466216

27

148

2.518519

0.592593

0.058824

0

0.034483

0.216216

148

6

56

24.666667

0.551724

0

0.026846

0

1

0

false

0

0.2

1

0

null

0

1

0

null

0

2

ba95b0f8dc9be866d1181ebc59b07f057e735c50

1,196

py

Python

pstd/pstd_using_numba.py

FRidh/pstd

1e8f047dda34eac80cbc11b1a261299052e91de6

[ "BSD-3-Clause" ]

5

2018-01-01T03:04:09.000Z

2022-02-12T13:32:36.000Z

pstd/pstd_using_numba.py

FRidh/pstd

1e8f047dda34eac80cbc11b1a261299052e91de6

[ "BSD-3-Clause" ]

1

2022-01-17T11:08:47.000Z

pstd/pstd_using_numba.py

FRidh/pstd

1e8f047dda34eac80cbc11b1a261299052e91de6

[ "BSD-3-Clause" ]

null

""" This module contains a Numba-accelerated implementation of the k-space PSTD method. """ import numba from . import pstd kappa = numba.jit(pstd.kappa) # abs_exp = numba.jit(pstd.abs_exp) pressure_abs_exp = numba.jit(pstd.pressure_abs_exp) velocity_abs_exp = numba.jit(pstd.velocity_abs_exp) pressure_with_pml = numba.jit(pstd.pressure_with_pml) velocity_with_pml = numba.jit(pstd.pressure_with_pml) to_pressure_gradient = numba.jit(pstd.to_pressure_gradient) to_velocity_gradient = numba.jit(pstd.to_velocity_gradient) update = numba.jit(pstd.update) class PSTD(pstd.PSTD): _update = staticmethod(update) # _record = numba.jit(pstd.PSTD._record) # kappa = staticmethod(numba.jit(PSTD.kappa)) # abs_exp = staticmethod(numba.jit(PSTD.abs_exp)) # pressure_with_pml = staticmethod(numba.jit(PSTD.pressure_with_pml)) # velocity_with_pml = staticmethod(numba.jit(PSTD.velocity_with_pml)) # pressure_gradient = staticmethod(numba.jit(PSTD.to_pressure_gradient)) # velocity_gradient = staticmethod(numba.jit(PSTD.to_velocity_gradient)) # update = classmethod(numba.jit(PSTD.update)) # pre_run = numba.jit(PSTD.pre_run) # run = numba.jit(Model.run)

33.222222

83

0.763378

172

1,196

5.034884

0.19186

0.17552

0.249423

0.166282

0.573903

0.497691

0.2194

0.136259

0.096998

0

0.121237

1,196

35

84

34.171429

0.823977

0.529264

0

1

0

false

0

0.166667

0

0.333333

0

null

0

1

0

null

0

2

bac5fc1e09a2e012dfac85c34379f3c2de92c1a0

771

py

Python

src/integration-tests/expecteds/py/duplicate-names.py

shanejonas/transpiler

ed293861635c23c004ef8276196e461ca5b940db

[ "Apache-2.0" ]

5

2020-10-26T23:32:25.000Z

2022-01-20T17:02:18.000Z

src/integration-tests/expecteds/py/duplicate-names.py

shanejonas/transpiler

ed293861635c23c004ef8276196e461ca5b940db

[ "Apache-2.0" ]

525

2020-04-20T08:58:52.000Z

2022-03-26T02:26:13.000Z

src/integration-tests/expecteds/py/duplicate-names.py

shanejonas/transpiler

ed293861635c23c004ef8276196e461ca5b940db

[ "Apache-2.0" ]

6

2020-10-26T23:32:45.000Z

2021-12-29T18:03:03.000Z

from typing import NewType from typing import Union from typing import List from typing import Tuple from typing import TypedDict from typing import Optional Baz = NewType("Baz", bool) Foo = NewType("Foo", str) """array of strings is all... """ UnorderedSetOfFooz1UBFn8B = NewType("UnorderedSetOfFooz1UBFn8B", List[Foo]) Bar = NewType("Bar", int) SetOfNumbers = NewType("SetOfNumbers", Tuple[Bar]) class ObjectOfBazLEtnUJ56(TypedDict): NotFoo: Optional[Baz] OneOfStuff = NewType("OneOfStuff", Union[UnorderedSetOfFooz1UBFn8B, SetOfNumbers]) """Generated! Represents an alias to any of the provided schemas """ AnyOfFooFooObjectOfBazLEtnUJ56OneOfStuffBar = NewType("AnyOfFooFooObjectOfBazLEtnUJ56OneOfStuffBar", Union[Foo, ObjectOfBazLEtnUJ56, OneOfStuff, Bar])

29.653846

150

0.788586

81

771

7.506173

0.444444

0.098684

0.157895

0

0.020468

0.11284

771

25

151

30.84

0.868421

0

0.147761

0.101493

0

1

0

false

0

0.4

0

0.533333

0

null

0

null

0

1

0

1

0

2