xszheng2020/the_stack_dedup_python_hits_1 · Datasets at Hugging Face

4473dea74ad824b410db2d46eaf6858a8677dd85

857

py

Python

src/bin_print.py

wykys/MIKS-FSK

a28255a1a184fb0b9753fcb133ea12e1b75ae93d

[ "MIT" ]

null

src/bin_print.py

wykys/MIKS-FSK

a28255a1a184fb0b9753fcb133ea12e1b75ae93d

[ "MIT" ]

null

src/bin_print.py

wykys/MIKS-FSK

a28255a1a184fb0b9753fcb133ea12e1b75ae93d

[ "MIT" ]

null

# wykys 2019 def bin_print(byte_array: list, num_in_line: int = 8, space: str = ' | '): def bin_to_str(byte_array: list) -> str: return ''.join([ chr(c) if c > 32 and c < 127 else '.' for c in byte_array ]) tmp = '' for i, byte in enumerate(byte_array): tmp = ''.join([tmp, f'{byte:02X}']) if (i+1) % num_in_line: tmp = ''.join([tmp, ' ']) else: tmp = ''.join([ tmp, space, bin_to_str(byte_array[i-num_in_line+1:i+1]), '\n' ]) if (i+1) % num_in_line: tmp = ''.join([ tmp, ' '*(3*(num_in_line - ((i+1) % num_in_line)) - 1), space, bin_to_str(byte_array[i - ((i+1) % num_in_line) + 1:]), '\n' ]) print(tmp)

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null

0

1

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null

0

1

4476220506d945bb783299ab9c689b2af1b83a67

1,363

py

Python

tests/test_modifiers.py

mbillingr/friendly-iter

77e1ce72100f592b6155a2152fcc03165af22714

[ "MIT" ]

null

tests/test_modifiers.py

mbillingr/friendly-iter

77e1ce72100f592b6155a2152fcc03165af22714

[ "MIT" ]

null

tests/test_modifiers.py

mbillingr/friendly-iter

77e1ce72100f592b6155a2152fcc03165af22714

[ "MIT" ]

null

from unittest.mock import Mock import pytest from friendly_iter.iterator_modifiers import flatten, take, skip, step def test_flatten(): result = flatten([range(4), [], [4, 5]]) assert list(result) == [0, 1, 2, 3, 4, 5] def test_take_limits_number_of_resulting_items(): result = take(3, range(10)) assert list(result) == [0, 1, 2] def test_take_works_if_iterator_is_too_short(): result = take(10, range(3)) assert list(result) == [0, 1, 2] def test_skip_drops_first_n_elements(): result = skip(2, [1, 2, 3, 4, 5]) assert list(result) == [3, 4, 5] def test_skipping_too_many_results_in_empty_iterator(): result = skip(3, [1, 2]) assert list(result) == [] def test_skip_advanced_iterator_lazily(): skip(3, FailingIter()) # should not raise def test_refuse_stepsize_less_than_one(): with pytest.raises(ValueError): step(0, []) def test_step_size_one_is_an_identity_operation(): it = Mock() result = step(1, it) assert result is it def test_step_always_yields_first_element(): result = step(2, [1]) assert list(result) == [1] def test_step_yields_every_nth_item(): result = step(2, [1, 2, 3, 4]) assert list(result) == [1, 3] class FailingIter: def __iter__(self): return self def __next__(self): pytest.fail("Iterator was advanced")

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1

447c96e01f699a1d061bedede73a165b4923aa49

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py

Python

backend/apps/role/migrations/0003_auto_20200329_1414.py

highproformas-friends/curaSWISS

cf6c1ac9c0c80026f1667a7155290c37be8dec7c

[ "MIT" ]

3

2020-03-27T20:39:31.000Z

2020-03-31T20:24:55.000Z

backend/apps/role/migrations/0003_auto_20200329_1414.py

highproformas-friends/curaSWISS

cf6c1ac9c0c80026f1667a7155290c37be8dec7c

[ "MIT" ]

21

2020-03-28T09:57:15.000Z

2020-03-31T11:38:00.000Z

backend/apps/role/migrations/0003_auto_20200329_1414.py

highproformas-friends/curaSWISS

cf6c1ac9c0c80026f1667a7155290c37be8dec7c

[ "MIT" ]

null

# Generated by Django 3.0.4 on 2020-03-29 14:14 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('role', '0002_auto_20200329_1412'), ] operations = [ migrations.AlterField( model_name='role', name='name', field=models.CharField(default='', max_length=50, unique=True), ), ]

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null

0

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null

0

1

447db70fcaa354f16105d556a4943d598b33148f

816

py

Python

scifiweb/urls.py

project-scifi/scifiweb

cc51d9ea6e7f302c503174e92029188a7e252753

[ "Apache-2.0" ]

1

2018-04-18T04:37:43.000Z

scifiweb/urls.py

project-scifi/scifiweb

cc51d9ea6e7f302c503174e92029188a7e252753

[ "Apache-2.0" ]

12

2017-06-26T05:20:28.000Z

2022-01-13T00:48:58.000Z

scifiweb/urls.py

project-scifi/scifiweb

cc51d9ea6e7f302c503174e92029188a7e252753

[ "Apache-2.0" ]

null

from django.conf.urls import include from django.conf.urls import url from django.shortcuts import redirect from django.shortcuts import reverse import scifiweb.about.urls import scifiweb.news.urls from scifiweb.home import home from scifiweb.robots import robots_dot_txt urlpatterns = [ url(r'^$', home, name='home'), url(r'^robots\.txt$', robots_dot_txt, name='robots.txt'), url(r'^about/', include(scifiweb.about.urls.urlpatterns)), url(r'^news/', include(scifiweb.news.urls.urlpatterns)), # Legacy redirects to /about/ url(r'^info/about/$', lambda _: redirect(reverse('about'), permanent=True)), url(r'^info/about/contact$', lambda _: redirect(reverse('about/contact'), permanent=True)), url(r'^info/about/team$', lambda _: redirect(reverse('about/team'), permanent=True)), ]

35.478261

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816

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0.470588

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null

0

null

0

1

0

1

447ff5764e0b94f97e6c66b9deb62f15c5007620

535

py

Python

solutions/Array-02.py

mrocklin/dask-tutorial

efb87e83eefa816ef23083fc1329af1d7da452a8

[ "BSD-3-Clause" ]

2

2018-03-17T16:41:28.000Z

2019-06-19T06:38:06.000Z

solutions/Array-02.py

mrocklin/dask-tutorial

efb87e83eefa816ef23083fc1329af1d7da452a8

[ "BSD-3-Clause" ]

null

solutions/Array-02.py

mrocklin/dask-tutorial

efb87e83eefa816ef23083fc1329af1d7da452a8

[ "BSD-3-Clause" ]

3

2018-07-13T15:33:55.000Z

2020-11-29T14:27:45.000Z

import h5py from glob import glob import os filenames = sorted(glob(os.path.join('data', 'weather-big', '*.hdf5'))) dsets = [h5py.File(filename)['/t2m'] for filename in filenames] import dask.array as da arrays = [da.from_array(dset, chunks=(500, 500)) for dset in dsets] x = da.stack(arrays, axis=0) result = x.mean(axis=0) from matplotlib import pyplot as plt fig = plt.figure(figsize=(16, 8)) plt.imshow(result, cmap='RdBu_r') result = x[0] - x.mean(axis=0) fig = plt.figure(figsize=(16, 8)) plt.imshow(result, cmap='RdBu_r')

24.318182

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535

4.032609

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0.053908

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535

21

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null

0

null

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1

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1

4485c2de2544e40db08213560e7dfbba9933c235

245

py

Python

examples/python/corepy/userandom.py

airgiser/ucb

d03e62a17f35a9183ed36662352f603f0f673194

[ "MIT" ]

1

2022-01-08T14:59:44.000Z

examples/python/corepy/userandom.py

airgiser/just-for-fun

d03e62a17f35a9183ed36662352f603f0f673194

[ "MIT" ]

null

examples/python/corepy/userandom.py

airgiser/just-for-fun

d03e62a17f35a9183ed36662352f603f0f673194

[ "MIT" ]

null

#!/usr/bin/python from random import Random onelist = [1, 2, 3, 4, 5, 6, 7] rd = Random() for i in range(5): print(rd.randint(0, 100)) print(rd.uniform(0, 100)) print(rd.random()) print(rd.choice(onelist)) print('-' * 30)

17.5

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3.512195

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0.194444

0.125

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245

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0.555556

0

null

0

null

0

1

0

1

44877d856034bf8fe04f668f3d82b679a04011e9

516

py

Python

productdb/testing/unittests/products.py

tspycher/python-productdb

17970a681b32eb249b78fab7dbeaee9d63ca7c05

[ "MIT" ]

null

productdb/testing/unittests/products.py

tspycher/python-productdb

17970a681b32eb249b78fab7dbeaee9d63ca7c05

[ "MIT" ]

null

productdb/testing/unittests/products.py

tspycher/python-productdb

17970a681b32eb249b78fab7dbeaee9d63ca7c05

[ "MIT" ]

null

from . import BasicTestCase class ProductsTestCase(BasicTestCase): def test_basic(self): rv = self.client.get('/') assert rv.status_code == 200 data = self.parseJsonResponse(rv) assert '_links' in data def test_get_all_products(self): rv = self.client.get('/product') assert rv.status_code == 200 data = self.parseJsonResponse(rv) assert '_items' in data # add further data tests here, load basic data by fixtures pass

21.5

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null

0

null

0

1

0

1

448799a4fc1952a7fcd243848401d2c0a08268d0

196

py

Python

src/main.py

Quin-Darcy/Crawler

3e0d9f0b5dce43206606b19e5fb4dd84f4614fb1

[ "MIT" ]

null

src/main.py

Quin-Darcy/Crawler

3e0d9f0b5dce43206606b19e5fb4dd84f4614fb1

[ "MIT" ]

null

src/main.py

Quin-Darcy/Crawler

3e0d9f0b5dce43206606b19e5fb4dd84f4614fb1

[ "MIT" ]

null

import crawler import os def main(): root = crawler.Crawler() root.set_start() root.burrow() root.show() os.system('killall firefox') if __name__ == '__main__': main()

13.066667

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null

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1

448a636d024dfa5f84fbc271a201ee5abe77a7d5

2,118

py

Python

jerk_agent_for_understanding/scripts/map-paths.py

tristansokol/Bobcats

71461b5c969b24e5379a63d2bc22bf173ae76f9b

[ "MIT" ]

2

2018-06-20T13:36:54.000Z

2018-10-28T17:06:31.000Z

jerk_agent_for_understanding/scripts/map-paths.py

tristansokol/Bobcats

71461b5c969b24e5379a63d2bc22bf173ae76f9b

[ "MIT" ]

null

jerk_agent_for_understanding/scripts/map-paths.py

tristansokol/Bobcats

71461b5c969b24e5379a63d2bc22bf173ae76f9b

[ "MIT" ]

1

2019-04-30T06:24:03.000Z

#!/usr/bin/python import sys import retro import numpy as np from os import listdir from os.path import isfile, join, isdir, dirname, realpath from PIL import Image # find level maps here: http://info.sonicretro.org/Sonic_the_Hedgehog_(16-bit)_level_maps mp = Image.open(dirname(realpath(__file__))+"/01.PNG") mp.load() level_map =np.array(mp.convert(mode='RGB'), dtype="uint8" ) hf = 10 # highlight factor def render(file): movie = retro.Movie(file) movie.step() env = retro.make(game=movie.get_game(), state=retro.STATE_NONE, use_restricted_actions=retro.ACTIONS_ALL) env.initial_state = movie.get_state() env.reset() while movie.step(): keys = [] for i in range(env.NUM_BUTTONS): keys.append(movie.get_key(i)) _obs, _rew, _done, _info = env.step(keys) y = _info['y'] x = _info['x'] highlight = [[[min(x[0][0]+hf,255), min(x[0][1]+hf,255), min(x[0][2]+hf,255)], [min(x[1][0]+hf,255), min(x[1][1]+hf,255), min(x[1][2]+hf,255)], [min(x[2][0]+hf,255), min(x[2][1]+hf,255), min(x[2][2]+hf,255)], [min(x[3][0]+hf,255), min(x[3][1]+hf,255), min(x[3][2]+hf,255)], [min(x[4][0]+hf,255), min(x[4][1]+hf,255), min(x[4][2]+hf,255)], [min(x[5][0]+hf,255), min(x[5][1]+hf,255), min(x[5][2]+hf,255)], [min(x[6][0]+hf,255), min(x[6][1]+hf,255), min(x[6][2]+hf,255)], [min(x[7][0]+hf,255), min(x[7][1]+hf,255), min(x[7][2]+hf,255)], ] for x in level_map[y:(y+8), x:(x+8)]] level_map[y:(y+8), x:(x+8)] = highlight env.close() if isdir(sys.argv[1]): onlyfiles = [f for f in listdir(sys.argv[1]) if isfile(join(sys.argv[1], f))] onlyfiles.sort() c = 0 for file in onlyfiles: if ".bk2" in file : print('playing', file) render(sys.argv[1]+file) if c % 5==0: lm = Image.fromarray(level_map) lm.save('levelmapv9.jpeg') c+=1 lm.show() else: print('playing', sys.argv[1]) render(sys.argv[1]) lm = Image.fromarray(level_map) # lm.save('levelmap.jpeg') lm.show()

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0

null

0

1

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null

0

1

4498797169e379e4f71ed514fe503e98825e7c72

4,897

py

Python

languageModel.py

Zgjszjggjt/DeepLearning

51889e57f8c7a0a861c356a0e3454c3c3625b0a7

[ "MIT" ]

null

languageModel.py

Zgjszjggjt/DeepLearning

51889e57f8c7a0a861c356a0e3454c3c3625b0a7

[ "MIT" ]

null

languageModel.py

Zgjszjggjt/DeepLearning

51889e57f8c7a0a861c356a0e3454c3c3625b0a7

[ "MIT" ]

null

#!/usr/bin/evn python #-*- coding: utf-8 -*- # =================================== # Filename : languageModel.py # Author : GT # Create date : 17-09-20 18:33:43 # Description: # =================================== # Script starts from here # this is for chinese characters # import sys # reload(sys) # sys.setdefaultencoding('utf-8') import numpy as np import nltk import csv import itertools def softmax(x): xt = np.exp(x - np.max(x)) return xt / np.sum(xt) class getData(object): def __init__(self): self.vocabulary_size = 8000 self.unknown_token = 'UNKNOWN_TOKEN' self.sentence_start_token = 'SENTENCE_START' self.sentence_end_token = "SENTENCE_END" def encode(self, path): print 'Reading csv file %s' % path with open(path, 'rb') as f: reader = csv.reader(f, skipinitialspace = True) reader.next() self.sentences = itertools.chain(*[nltk.sent_tokenize(x[0].decode('utf-8').lower()) for x in reader]) self.sentences = ['%s %s %s' % (self.sentence_start_token, x, self.sentence_end_token) for x in self.sentences] print 'Parsed %d sentences' % len(self.sentences) self.tokenize_sentences = [nltk.word_tokenize(x) for x in self.sentences] self.word_freq = nltk.FreqDist(itertools.chain(*self.tokenize_sentences)) print 'Found %d unique words tokens.' % len(self.word_freq) vocab = self.word_freq.most_common(self.vocabulary_size - 1) self.index_to_word = [x[0] for x in vocab] self.index_to_word.append(self.unknown_token) self.word_to_index = dict([(w, i) for i, w in enumerate(self.index_to_word)]) print 'Using vocabulary size %d .' % self.vocabulary_size print 'The least frequent word in our vocabulary is %s and appear %d times.' % (vocab[-1][0], vocab[-1][1]) for i, sent in enumerate(self.tokenize_sentences): self.tokenize_sentences[i] = [w if w in self.word_to_index else self.unknown_token for w in sent] print '\nExample sentence: %s' % self.sentences[0] print '\nExample sentence after encoding: %s' % self.tokenize_sentences[0] self.x_train = np.asarray([[self.word_to_index[w] for w in sent[:-1]] for sent in self.tokenize_sentences]) self.y_train = np.asarray([[self.word_to_index[w] for w in sent[1:]] for sent in self.tokenize_sentences]) return self.x_train, self.y_train class RNN(object): def __init__(self, vocabulary_size, hidden_size, bptt_turns): self.vocabulary_size = vocabulary_size self.hidden_size = hidden_size self.bptt_turns = bptt_turns self.U = np.random.uniform(-np.sqrt(1. / vocabulary_size), np.sqrt(1. / vocabulary_size), (hidden_size, vocabulary_size)) self.V = np.random.uniform(-np.sqrt(1. / hidden_size), np.sqrt(1. / hidden_size), (vocabulary_size, hidden_size)) self.W = np.random.uniform(-np.sqrt(1. / hidden_size), np.sqrt(1. / hidden_size), (hidden_size, hidden_size)) def forward(self, x): C_size = len(x) s = np.zeros((C_size + 1, self.hidden_size)) s[-1] = np.zeros(self.hidden_size) o = np.zeros((C_size, self.vocabulary_size)) for i in np.arange(C_size): s[i] = np.tanh(self.U[:, x[i]] + self.W.dot(s[i - 1])) o[i] = softmax(self.V.dot(s[i])) return s, o def predict(self): maxIndex = np.argmax(self.o, axis = 1) print self.maxIndex def get_s(self): return self.s def get_o(self): return self.o def caculate_total_loss(self, x, y): loss = 0. for i in range(len(y)): s, o = self.forward(x[i]) correct_word_predictions = o[np.arange(len(y[i])), y[i]] print correct_word_predictions.shape print correct_word_predictions loss += -1 * np.sum(np.log(correct_word_predictions)) return loss def caculate_loss(self, x, y): N = np.sum((len(y_i) for y_i in y)) print self.caculate_total_loss(x, y)/N def bptt(self, x, y): length = len(y); s, o = self.forward(x) dLdU = np.zeros_like(self.U) dLdV = np.zeros_like(self.V) dLdW = np.zeros_like(self.W) delta_o = o delta_o[np.arange(len(y)), y] -= 1. for t in np.arange(length)[::-1]: dLdV += np.outer(delta_o[t]. s[t].T) delta_t = self.V.T.dot(delta_o[t]) * (1 - (s[t] ** 2)) if __name__ == '__main__': getData = getData() x, y = getData.encode('./DateSet/reddit-comments-2015-08.csv') # print x.shape # print y.shape # print x[0] # print y[0] rnn = RNN(8000, 100, 4) # rnn.forward(x[:1000]) # rnn,predict() # print rnn.get_o().shape # print rnn.get_o() rnn.caculate_loss(x[:1000], y[:1000])

37.381679

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null

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1

92254e7c44b4d02b62556b08a59fb86995acbb5b

2,463

py

Python

openstack/tests/unit/network/v2/test_firewall_v1_rule.py

morganseznec/openstacksdk

7b245c16556a04497ce701d959a889eca6f26a83

[ "Apache-2.0" ]

null

openstack/tests/unit/network/v2/test_firewall_v1_rule.py

morganseznec/openstacksdk

7b245c16556a04497ce701d959a889eca6f26a83

[ "Apache-2.0" ]

null

openstack/tests/unit/network/v2/test_firewall_v1_rule.py

morganseznec/openstacksdk

7b245c16556a04497ce701d959a889eca6f26a83

[ "Apache-2.0" ]

null

# Copyright (c) 2019 Morgan Seznec <morgan.s134@gmail.com> # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. import testtools from openstack.network.v2 import firewall_v1_rule EXAMPLE = { 'action': 'allow', 'description': '1', 'destination_ip_address': '10.0.0.2/24', 'destination_port': '2', 'name': '3', 'enabled': True, 'ip_version': 4, 'protocol': 'tcp', 'shared': True, 'source_ip_address': '10.0.1.2/24', 'source_port': '5', 'project_id': '6', } class TestFirewallV1Rule(testtools.TestCase): def test_basic(self): sot = firewall_v1_rule.FirewallV1Rule() self.assertEqual('firewall_v1_rule', sot.resource_key) self.assertEqual('firewall_v1_rules', sot.resources_key) self.assertEqual('/fw/firewall_rules', sot.base_path) self.assertTrue(sot.allow_create) self.assertTrue(sot.allow_fetch) self.assertTrue(sot.allow_commit) self.assertTrue(sot.allow_delete) self.assertTrue(sot.allow_list) def test_make_it(self): sot = firewall_v1_rule.FirewallV1Rule(**EXAMPLE) self.assertEqual(EXAMPLE['action'], sot.action) self.assertEqual(EXAMPLE['description'], sot.description) self.assertEqual(EXAMPLE['destination_ip_address'], sot.destination_ip_address) self.assertEqual(EXAMPLE['destination_port'], sot.destination_port) self.assertEqual(EXAMPLE['name'], sot.name) self.assertEqual(EXAMPLE['enabled'], sot.enabled) self.assertEqual(EXAMPLE['ip_version'], sot.ip_version) self.assertEqual(EXAMPLE['protocol'], sot.protocol) self.assertEqual(EXAMPLE['shared'], sot.shared) self.assertEqual(EXAMPLE['source_ip_address'], sot.source_ip_address) self.assertEqual(EXAMPLE['source_port'], sot.source_port) self.assertEqual(EXAMPLE['project_id'], sot.project_id)

37.892308

75

0.686561

310

2,463

5.306452

0.412903

0.136778

0.160486

0.066869

0.080243

0.042553

0

0.020131

0.19326

2,463

64

76

38.484375

0.80775

0.243605

0

0.185065

0.02381

0

0.465116

1

0.046512

false

0

0.046512

0

0.116279

0

null

0

null

0

1

0

1

922b49321572191d7b66c10a4c4bde3685820be0

2,598

py

Python

OpenSources/GDAL_moreExamples/class08demos_ogr_gdal/class08_ogr_buffer.py

mehran66/python-geospatial-open-sources

6c56922bdd2a815a98faeb5ac65f674c22486923

[ "MIT" ]

null

OpenSources/GDAL_moreExamples/class08demos_ogr_gdal/class08_ogr_buffer.py

mehran66/python-geospatial-open-sources

6c56922bdd2a815a98faeb5ac65f674c22486923

[ "MIT" ]

null

OpenSources/GDAL_moreExamples/class08demos_ogr_gdal/class08_ogr_buffer.py

mehran66/python-geospatial-open-sources

6c56922bdd2a815a98faeb5ac65f674c22486923

[ "MIT" ]

null

'''********************************************* author: Galen Maclaurin Date: 12/11/2012 Updated: 03/14/2016 , Stefan Leyk Purpose: Simple Buffer example using OGR *********************************************''' from time import clock start = clock() import os from osgeo import ogr # Define variables you need path = r'C:\GIS3\data\cl08data' #change the working directory os.chdir(path) theme = 'areapoints.shp' buffTheme = 'buffOutput.shp' buffDist = 500 # Open the feature class, creating an 'ogr' object ds = ogr.Open(theme) # Get the driver from the ogr object. The driver object is an interface to work # with a specific vector data format (i.e. ESRI shapefile in this case). dvr = ds.GetDriver() # Check to see if the output file exists and delete it if so. if os.path.exists(buffTheme): dvr.DeleteDataSource(buffTheme) print buffTheme, "existed and has been deleted" # Get the layer object from the ogr object. This is kind of like a cursor object. lyr = ds.GetLayer() # Get the number of features. the layer object is an iterable object. numFeat = len(lyr) # Create an empty feature class to populate with buffer features. This is stored # in memory as an emtpy ogr object. buff_ds = dvr.CreateDataSource(buffTheme) # Create a layer object from the empty ogr object. outLyr = buff_ds.CreateLayer(buffTheme[:-4],lyr.GetSpatialRef(),ogr.wkbPolygon) # Adding a field takes two steps: create a field definition and then use that # to create the field # Create a field definition fd = ogr.FieldDefn('myField',ogr.OFTString) # Create field with the field definition outLyr.CreateField(fd) # Similarly, you need to use a layer definition to create a feature lyrDef = outLyr.GetLayerDefn() # Iterate through the features in the layer object (like with a cursor) for feat in lyr: #get the geometry object from the feature object. geom = feat.GetGeometryRef() #create a new feature using the layer definition create outside the loop outFeat = ogr.Feature(lyrDef) #set the feature's geometry as the buffered geometry outFeat.SetGeometry(geom.Buffer(buffDist)) #set field value for feature outFeat.SetField('myField','someText'+str(feat.GetFID())) #save the new feature in the output layer created outside the loop outLyr.CreateFeature(outFeat) # Clean up, remove reference to the datasource objects, this is like deleting # the cursor and row objects. buff_ds = None ds = None print 'Buffer vector features complete' print 'Elapsed time: ',round(clock()-start,2),' seconds'

37.652174

82

0.706697

376

2,598

4.875

0.454787

0.02455

0.022913

0.017458

0

0.011315

0.183603

2,598

68

83

38.205882

0.8529

0.494226

0

0.150794

0.020833

0

null

0

0.096774

null

0.096774

0

null

0

null

0

1

0

1

9237845df9705971fc68a591a3a63ea569aa3bde

26,319

py

Python

src/utils/adbtool.py

wangzhi2689/data_analysis

3410856d1df1a9cd95660e28e6ed47fd0102f6aa

[ "Apache-2.0" ]

1

2022-01-01T09:36:54.000Z

src/utils/adbtool.py

wangzhi2689/data_analysis

3410856d1df1a9cd95660e28e6ed47fd0102f6aa

[ "Apache-2.0" ]

1

2022-02-26T13:07:05.000Z

src/utils/adbtool.py

wangzhi2689/data_analysis

3410856d1df1a9cd95660e28e6ed47fd0102f6aa

[ "Apache-2.0" ]

null

#!/usr/bin/evn python # -*- coding:utf-8 -*- # FileName adbtools.py # Author: HeyNiu # Created Time: 2016/9/19 """ adb 工具类 """ import os import platform import re import time #import utils.timetools class AdbTools(object): def __init__(self, device_id=''): self.__system = platform.system() self.__find = '' self.__command = '' self.__device_id = device_id self.__get_find() self.__check_adb() self.__connection_devices() def __get_find(self): """ 判断系统类型，windows使用findstr，linux使用grep :return: """ # if self.__system is "Windows": #self.__find = "findstr" #else: #self.__find = "grep" def __check_adb(self): """ 检查adb 判断是否设置环境变量ANDROID_HOME :return: """ if "ANDROID_HOME" in os.environ: if self.__system == "Windows": path = os.path.join(os.environ["ANDROID_HOME"], "platform-tools", "adb.exe") if os.path.exists(path): self.__command = path else: raise EnvironmentError( "Adb not found in $ANDROID_HOME path: %s." % os.environ["ANDROID_HOME"]) else: path = os.path.join(os.environ["ANDROID_HOME"], "platform-tools", "adb") if os.path.exists(path): self.__command = path else: raise EnvironmentError( "Adb not found in $ANDROID_HOME path: %s." % os.environ["ANDROID_HOME"]) else: raise EnvironmentError( "Adb not found in $ANDROID_HOME path: %s." % os.environ["ANDROID_HOME"]) def __connection_devices(self): """ 连接指定设备，单个设备可不传device_id :return: """ if self.__device_id == "": return self.__device_id = "-s %s" % self.__device_id def adb(self, args): """ 执行adb命令 :param args:参数 :return: """ cmd = "%s %s %s" % (self.__command, self.__device_id, str(args)) # print(cmd) return os.popen(cmd) def shell(self, args): """ 执行adb shell命令 :param args:参数 :return: """ cmd = "%s %s shell %s" % (self.__command, self.__device_id, str(args)) # print(cmd) return os.popen(cmd) def mkdir(self, path): """ 创建目录 :param path: 路径 :return: """ return self.shell('mkdir %s' % path) def get_devices(self): """ 获取设备列表 :return: """ l = self.adb('devices').readlines() return (i.split()[0] for i in l if 'devices' not in i and len(i) > 5) def get_current_application(self): """ 获取当前运行的应用信息 :return: """ return self.shell('dumpsys window w | %s \/ | %s name=' % (self.__find, self.__find)).read() def get_current_package(self): """ 获取当前运行app包名 :return: """ reg = re.compile(r'name=(.+?)/') return re.findall(reg, self.get_current_application())[0] def get_current_activity(self): """ 获取当前运行activity :return: package/activity """ reg = re.compile(r'name=(.+?)\)') return re.findall(reg, self.get_current_application())[0] '''def __get_process(self, package_name): """ 获取进程信息 :param package_name: :return: """ if self.__system is "Windows": pid_command = self.shell("ps | %s %s$" % (self.__find, package_name)).read() else: pid_command = self.shell("ps | %s -w %s" % (self.__find, package_name)).read() return pid_command''' def process_exists(self, package_name): """ 返回进程是否存在 :param package_name: :return: """ process = self.__get_process(package_name) return package_name in process def get_pid(self, package_name): """ 获取pid :return: """ pid_command = self.__get_process(package_name) if pid_command == '': print("The process doesn't exist.") return pid_command req = re.compile(r"\d+") result = str(pid_command).split() result.remove(result[0]) return req.findall(" ".join(result))[0] def get_uid(self, pid): """ 获取uid :param pid: :return: """ result = self.shell("cat /proc/%s/status" % pid).readlines() for i in result: if 'uid' in i.lower(): return i.split()[1] def get_flow_data_tcp(self, uid): """ 获取应用tcp流量 :return:(接收, 发送) """ tcp_rcv = self.shell("cat proc/uid_stat/%s/tcp_rcv" % uid).read().split()[0] tcp_snd = self.shell("cat proc/uid_stat/%s/tcp_snd" % uid).read().split()[0] return tcp_rcv, tcp_snd def get_flow_data_all(self, uid): """ 获取应用流量全部数据包含该应用多个进程的所有数据 tcp udp等 (rx_bytes, tx_bytes) >> (接收, 发送) :param uid: :return:list(dict) """ all_data = [] d = {} data = self.shell("cat /proc/net/xt_qtaguid/stats | %s %s" % (self.__find, uid)).readlines() for i in data: if not i.startswith('\n'): item = i.strip().split() d['idx'] = item[0] d['iface'] = item[1] d['acct_tag_hex'] = item[2] d['uid_tag_int'] = item[3] d['cnt_set'] = item[4] d['rx_bytes'] = item[5] d['rx_packets'] = item[6] d['tx_bytes'] = item[7] d['tx_packets'] = item[8] d['rx_tcp_bytes'] = item[9] d['rx_tcp_packets'] = item[10] d['rx_udp_bytes'] = item[11] d['rx_udp_packets'] = item[12] d['rx_other_bytes'] = item[13] d['rx_other_packets'] = item[14] d['tx_tcp_bytes'] = item[15] d['tx_tcp_packets'] = item[16] d['tx_udp_bytes'] = item[17] d['tx_udp_packets'] = item[18] d['tx_other_bytes'] = item[19] d['tx_other_packets'] = item[20] all_data.append(d) d = {} return all_data @staticmethod def dump_apk(path): """ dump apk文件 :param path: apk路径 :return: """ # 检查build-tools是否添加到环境变量中 # 需要用到里面的aapt命令 l = os.environ['PATH'].split(';') build_tools = False for i in l: if 'build-tools' in i: build_tools = True if not build_tools: raise EnvironmentError("ANDROID_HOME BUILD-TOOLS COMMAND NOT FOUND.\nPlease set the environment variable.") return os.popen('aapt dump badging %s' % (path,)) @staticmethod def dump_xml(path, filename): """ dump apk xml文件 :return: """ return os.popen('aapt dump xmlstrings %s %s' % (path, filename)) def uiautomator_dump(self): """ 获取屏幕uiautomator xml文件 :return: """ return self.shell('uiautomator dump').read().split()[-1] def pull(self, source, target): """ 从手机端拉取文件到电脑端 :return: """ self.adb('pull %s %s' % (source, target)) def push(self, source, target): """ 从电脑端推送文件到手机端 :param source: :param target: :return: """ self.adb('push %s %s' % (source, target)) def remove(self, path): """ 从手机端删除文件 :return: """ self.shell('rm %s' % (path,)) def clear_app_data(self, package): """ 清理应用数据 :return: """ self.shell('pm clear %s' % (package,)) def install(self, path): """ 安装apk文件 :return: """ # adb install 安装错误常见列表 errors = {'INSTALL_FAILED_ALREADY_EXISTS': '程序已经存在', 'INSTALL_DEVICES_NOT_FOUND': '找不到设备', 'INSTALL_FAILED_DEVICE_OFFLINE': '设备离线', 'INSTALL_FAILED_INVALID_APK': '无效的APK', 'INSTALL_FAILED_INVALID_URI': '无效的链接', 'INSTALL_FAILED_INSUFFICIENT_STORAGE': '没有足够的存储空间', 'INSTALL_FAILED_DUPLICATE_PACKAGE': '已存在同名程序', 'INSTALL_FAILED_NO_SHARED_USER': '要求的共享用户不存在', 'INSTALL_FAILED_UPDATE_INCOMPATIBLE': '版本不能共存', 'INSTALL_FAILED_SHARED_USER_INCOMPATIBLE': '需求的共享用户签名错误', 'INSTALL_FAILED_MISSING_SHARED_LIBRARY': '需求的共享库已丢失', 'INSTALL_FAILED_REPLACE_COULDNT_DELETE': '需求的共享库无效', 'INSTALL_FAILED_DEXOPT': 'dex优化验证失败', 'INSTALL_FAILED_DEVICE_NOSPACE': '手机存储空间不足导致apk拷贝失败', 'INSTALL_FAILED_DEVICE_COPY_FAILED': '文件拷贝失败', 'INSTALL_FAILED_OLDER_SDK': '系统版本过旧', 'INSTALL_FAILED_CONFLICTING_PROVIDER': '存在同名的内容提供者', 'INSTALL_FAILED_NEWER_SDK': '系统版本过新', 'INSTALL_FAILED_TEST_ONLY': '调用者不被允许测试的测试程序', 'INSTALL_FAILED_CPU_ABI_INCOMPATIBLE': '包含的本机代码不兼容', 'CPU_ABIINSTALL_FAILED_MISSING_FEATURE': '使用了一个无效的特性', 'INSTALL_FAILED_CONTAINER_ERROR': 'SD卡访问失败', 'INSTALL_FAILED_INVALID_INSTALL_LOCATION': '无效的安装路径', 'INSTALL_FAILED_MEDIA_UNAVAILABLE': 'SD卡不存在', 'INSTALL_FAILED_INTERNAL_ERROR': '系统问题导致安装失败', 'INSTALL_PARSE_FAILED_NO_CERTIFICATES': '文件未通过认证 >> 设置开启未知来源', 'INSTALL_PARSE_FAILED_INCONSISTENT_CERTIFICATES': '文件认证不一致 >> 先卸载原来的再安装', 'INSTALL_FAILED_INVALID_ZIP_FILE': '非法的zip文件 >> 先卸载原来的再安装', 'INSTALL_CANCELED_BY_USER': '需要用户确认才可进行安装', 'INSTALL_FAILED_VERIFICATION_FAILURE': '验证失败 >> 尝试重启手机', 'DEFAULT': '未知错误' } print('Installing...') l = self.adb('install -r %s' % (path,)).read() if 'Success' in l: print('Install Success') if 'Failure' in l: reg = re.compile('\\[(.+?)\\]') key = re.findall(reg, l)[0] try: print('Install Failure >> %s' % errors[key]) except KeyError: print('Install Failure >> %s' % key) return l def uninstall(self, package): """ 卸载apk :param package: 包名 :return: """ print('Uninstalling...') l = self.adb('uninstall %s' % (package,)).read() print(l) def screenshot(self, target_path=''): """ 手机截图 :param target_path: 目标路径 :return: """ format_time = utils.timetools.timestamp('%Y%m%d%H%M%S') self.shell('screencap -p /sdcard/%s.png' % (format_time,)) time.sleep(1) if target_path == '': self.pull('/sdcard/%s.png' % (format_time,), os.path.expanduser('~')) else: self.pull('/sdcard/%s.png' % (format_time,), target_path) self.remove('/sdcard/%s.png' % (format_time,)) def get_cache_logcat(self): """ 导出缓存日志 :return: """ return self.adb('logcat -v time -d') def get_crash_logcat(self): """ 导出崩溃日志 :return: """ return self.adb('logcat -v time -d | %s AndroidRuntime' % (self.__find,)) def clear_cache_logcat(self): """ 清理缓存区日志 :return: """ self.adb('logcat -c') def get_device_time(self): """ 获取设备时间 :return: """ return self.shell('date').read().strip() def ls(self, command): """ shell ls命令 :return: """ return self.shell('ls %s' % (command,)).readlines() def file_exists(self, target): """ 判断文件在目标路径是否存在 :return: """ l = self.ls(target) for i in l: if i.strip() == target: return True return False def is_install(self, target_app): """ 判断目标app在设备上是否已安装 :param target_app: 目标app包名 :return: bool """ return target_app in self.shell('pm list packages %s' % (target_app,)).read() def get_device_model(self): """ 获取设备型号 :return: """ return self.shell('getprop ro.product.model').read().strip() def get_device_id(self): """ 获取设备id :return: """ return self.adb('get-serialno').read().strip() def get_device_android_version(self): """ 获取设备Android版本 :return: """ return self.shell('getprop ro.build.version.release').read().strip() def get_device_sdk_version(self): """ 获取设备SDK版本 :return: """ return self.shell('getprop ro.build.version.sdk').read().strip() def get_device_mac_address(self): """ 获取设备MAC地址 :return: """ return self.shell('cat /sys/class/net/wlan0/address').read().strip() def get_device_ip_address(self): """ 获取设备IP地址 pass: 适用WIFI 蜂窝数据 :return: """ if not self.get_wifi_state() and not self.get_data_state(): return l = self.shell('ip addr | %s global' % self.__find).read() reg = re.compile('\d+\.\d+\.\d+\.\d+') return re.findall(reg, l)[0] def get_device_imei(self): """ 获取设备IMEI :return: """ sdk = self.get_device_sdk_version() # Android 5.0以下方法 if int(sdk) < 21: l = self.shell('dumpsys iphonesubinfo').read() reg = re.compile('[0-9]{15}') return re.findall(reg, l)[0] elif self.root(): l = self.shell('service call iphonesubinfo 1').read() print(l) print(re.findall(re.compile("'.+?'"), l)) imei = '' for i in re.findall(re.compile("'.+?'"), l): imei += i.replace('.', '').replace("'", '').replace(' ', '') return imei else: print('The device not root.') return '' def check_sim_card(self): """ 检查设备SIM卡 :return: """ return len(self.shell('getprop | %s gsm.operator.alpha]' % self.__find).read().strip().split()[-1]) > 2 def get_device_operators(self): """ 获取运营商 :return: """ return self.shell('getprop | %s gsm.operator.alpha]' % self.__find).read().strip().split()[-1] def get_device_state(self): """ 获取设备状态 :return: """ return self.adb('get-state').read().strip() def get_display_state(self): """ 获取屏幕状态 :return: 亮屏/灭屏 """ l = self.shell('dumpsys power').readlines() for i in l: if 'mScreenOn=' in i: return i.split()[-1] == 'mScreenOn=true' if 'Display Power' in i: return 'ON' in i.split('=')[-1].upper() def get_screen_normal_size(self): """ 获取设备屏幕分辨率 >> 标配 :return: """ return self.shell('wm size').read().strip().split()[-1].split('x') def get_screen_reality_size(self): """ 获取设备屏幕分辨率 >> 实际分辨率 :return: """ x = 0 y = 0 l = self.shell(r'getevent -p | %s -e "0"' % self.__find).readlines() for n in l: if len(n.split()) > 0: if n.split()[0] == '0035': x = int(n.split()[7].split(',')[0]) elif n.split()[0] == '0036': y = int(n.split()[7].split(',')[0]) return x, y def get_device_interior_sdcard(self): """ 获取内部SD卡空间 :return: (path,total,used,free,block) """ return self.shell('df | %s \/mnt\/shell\/emulated' % self.__find).read().strip().split() def get_device_external_sdcard(self): """ 获取外部SD卡空间 :return: (path,total,used,free,block) """ return self.shell('df | %s \/storage' % self.__find).read().strip().split() def __fill_rom(self, path, stream, count): """ 填充数据 :param path: 填充地址 :param stream: 填充流大小 :param count: 填充次数 :return: """ self.shell('dd if=/dev/zero of=%s bs=%s count=%s' % (path, stream, count)).read().strip() def fill_interior_sdcard(self, filename, size): """ 填充内置SD卡 :param filename: 文件名 :param size: 填充大小，单位byte :return: """ if size > 10485760: # 10m self.__fill_rom('sdcard/%s' % filename, 10485760, size / 10485760) else: self.__fill_rom('sdcard/%s' % filename, size, 1) def fill_external_sdcard(self, filename, size): """ 填充外置SD卡 :param filename: 文件名 :param size: 填充大小，单位byte :return: """ path = self.get_device_external_sdcard()[0] if size > 10485760: # 10m self.__fill_rom('%s/%s' % (path, filename), 10485760, size / 10485760) else: self.__fill_rom('%s/%s' % (path, filename), size, 1) def kill_process(self, pid): """ 杀死进程 pass: 一般需要权限不推荐使用 :return: """ return self.shell('kill %s' % pid).read().strip() def quit_app(self, package): """ 退出应用 :return: """ return self.shell('am force-stop %s' % package).read().strip() def reboot(self): """ 重启设备 :return: """ self.adb('reboot') def recovery(self): """ 重启设备并进入recovery模式 :return: """ self.adb('reboot recovery') def fastboot(self): """ 重启设备并进入fastboot模式 :return: """ self.adb('reboot bootloader') def root(self): """ 获取root状态 :return: """ return 'not found' not in self.shell('su -c ls -l /data/').read().strip() def wifi(self, power): """ 开启/关闭wifi pass: 需要root权限 :return: """ if not self.root(): print('The device not root.') return if power: self.shell('su -c svc wifi enable').read().strip() else: self.shell('su -c svc wifi disable').read().strip() def data(self, power): """ 开启/关闭蜂窝数据 pass: 需要root权限 :return: """ if not self.root(): print('The device not root.') return if power: self.shell('su -c svc data enable').read().strip() else: self.shell('su -c svc data disable').read().strip() def get_wifi_state(self): """ 获取WiFi连接状态 :return: """ return 'enabled' in self.shell('dumpsys wifi | %s ^Wi-Fi' % self.__find).read().strip() def get_data_state(self): """ 获取移动网络连接状态 :return: """ return '2' in self.shell('dumpsys telephony.registry | %s mDataConnectionState' % self.__find).read().strip() def get_network_state(self): """ 设备是否连上互联网 :return: """ return 'unknown host' not in self.shell('ping -w 1 www.baidu.com').read().strip() def get_wifi_password_list(self): """ 获取WIFI密码列表 :return: """ if not self.root(): print('The device not root.') return [] l = re.findall(re.compile('ssid=".+?"\s{3}psk=".+?"'), self.shell('su -c cat /data/misc/wifi/*.conf').read()) return [re.findall(re.compile('".+?"'), i) for i in l] def call(self, number): """ 拨打电话 :param number: :return: """ self.shell('am start -a android.intent.action.CALL -d tel:%s' % number) def open_url(self, url): """ 打开网页 :return: """ self.shell('am start -a android.intent.action.VIEW -d %s' % url) def start_application(self, component): """ 启动一个应用 e.g: com.android.settings/com.android.settings.Settings """ self.shell("am start -n %s" % component) def send_keyevent(self, keycode): """ 发送一个按键事件 https://developer.android.com/reference/android/view/KeyEvent.html :return: """ self.shell('input keyevent %s' % keycode) def rotation_screen(self, param): """ 旋转屏幕 :param param: 0 >> 纵向，禁止自动旋转; 1 >> 自动旋转 :return: """ self.shell('/system/bin/content insert --uri content://settings/system --bind ' 'name:s:accelerometer_rotation --bind value:i:%s' % param) def instrument(self, command): """ 启动instrument app :param command: 命令 :return: """ return self.shell('am instrument %s' % command).read() def export_apk(self, package, target_path='', timeout=5000): """ 从设备导出应用 :param timeout: 超时时间 :param target_path: 导出后apk存储路径 :param package: 包名 :return: """ num = 0 if target_path == '': self.adb('pull /data/app/%s-1/base.apk %s' % (package, os.path.expanduser('~'))) while 1: num += 1 if num <= timeout: if os.path.exists(os.path.join(os.path.expanduser('~'), 'base.apk')): os.rename(os.path.join(os.path.expanduser('~'), 'base.apk'), os.path.join(os.path.expanduser('~'), '%s.apk' % package)) else: self.adb('pull /data/app/%s-1/base.apk %s' % (package, target_path)) while 1: num += 1 if num <= timeout: if os.path.exists(os.path.join(os.path.expanduser('~'), 'base.apk')): os.rename(os.path.join(os.path.expanduser('~'), 'base.apk'), os.path.join(os.path.expanduser('~'), '%s.apk' % package)) class KeyCode: KEYCODE_CALL = 5 # 拨号键 KEYCODE_ENDCALL = 6 # 挂机键 KEYCODE_HOME = 3 # Home键 KEYCODE_MENU = 82 # 菜单键 KEYCODE_BACK = 4 # 返回键 KEYCODE_SEARCH = 84 # 搜索键 KEYCODE_CAMERA = 27 # 拍照键 KEYCODE_FOCUS = 80 # 对焦键 KEYCODE_POWER = 26 # 电源键 KEYCODE_NOTIFICATION = 83 # 通知键 KEYCODE_MUTE = 91 # 话筒静音键 KEYCODE_VOLUME_MUTE = 164 # 扬声器静音键 KEYCODE_VOLUME_UP = 24 # 音量+键 KEYCODE_VOLUME_DOWN = 25 # 音量-键 KEYCODE_ENTER = 66 # 回车键 KEYCODE_ESCAPE = 111 # ESC键 KEYCODE_DPAD_CENTER = 23 # 导航键 >> 确定键 KEYCODE_DPAD_UP = 19 # 导航键 >> 向上 KEYCODE_DPAD_DOWN = 20 # 导航键 >> 向下 KEYCODE_DPAD_LEFT = 21 # 导航键 >> 向左 KEYCODE_DPAD_RIGHT = 22 # 导航键 >> 向右 KEYCODE_MOVE_HOME = 122 # 光标移动到开始键 KEYCODE_MOVE_END = 123 # 光标移动到末尾键 KEYCODE_PAGE_UP = 92 # 向上翻页键 KEYCODE_PAGE_DOWN = 93 # 向下翻页键 KEYCODE_DEL = 67 # 退格键 KEYCODE_FORWARD_DEL = 112 # 删除键 KEYCODE_INSERT = 124 # 插入键 KEYCODE_TAB = 61 # Tab键 KEYCODE_NUM_LOCK = 143 # 小键盘锁 KEYCODE_CAPS_LOCK = 115 # 大写锁定键 KEYCODE_BREAK = 121 # Break / Pause键 KEYCODE_SCROLL_LOCK = 116 # 滚动锁定键 KEYCODE_ZOOM_IN = 168 # 放大键 KEYCODE_ZOOM_OUT = 169 # 缩小键 KEYCODE_0 = 7 KEYCODE_1 = 8 KEYCODE_2 = 9 KEYCODE_3 = 10 KEYCODE_4 = 11 KEYCODE_5 = 12 KEYCODE_6 = 13 KEYCODE_7 = 14 KEYCODE_8 = 15 KEYCODE_9 = 16 KEYCODE_A = 29 KEYCODE_B = 30 KEYCODE_C = 31 KEYCODE_D = 32 KEYCODE_E = 33 KEYCODE_F = 34 KEYCODE_G = 35 KEYCODE_H = 36 KEYCODE_I = 37 KEYCODE_J = 38 KEYCODE_K = 39 KEYCODE_L = 40 KEYCODE_M = 41 KEYCODE_N = 42 KEYCODE_O = 43 KEYCODE_P = 44 KEYCODE_Q = 45 KEYCODE_R = 46 KEYCODE_S = 47 KEYCODE_T = 48 KEYCODE_U = 49 KEYCODE_V = 50 KEYCODE_W = 51 KEYCODE_X = 52 KEYCODE_Y = 53 KEYCODE_Z = 54 KEYCODE_PLUS = 81 # + KEYCODE_MINUS = 69 # - KEYCODE_STAR = 17 # * KEYCODE_SLASH = 76 # / KEYCODE_EQUALS = 70 # = KEYCODE_AT = 77 # @ KEYCODE_POUND = 18 # # KEYCODE_APOSTROPHE = 75 # ' KEYCODE_BACKSLASH = 73 # \ KEYCODE_COMMA = 55 # , KEYCODE_PERIOD = 56 # . KEYCODE_LEFT_BRACKET = 71 # [ KEYCODE_RIGHT_BRACKET = 72 # ] KEYCODE_SEMICOLON = 74 # ; KEYCODE_GRAVE = 68 # ` KEYCODE_SPACE = 62 # 空格键 KEYCODE_MEDIA_PLAY = 126 # 多媒体键 >> 播放 KEYCODE_MEDIA_STOP = 86 # 多媒体键 >> 停止 KEYCODE_MEDIA_PAUSE = 127 # 多媒体键 >> 暂停 KEYCODE_MEDIA_PLAY_PAUSE = 85 # 多媒体键 >> 播放 / 暂停 KEYCODE_MEDIA_FAST_FORWARD = 90 # 多媒体键 >> 快进 KEYCODE_MEDIA_REWIND = 89 # 多媒体键 >> 快退 KEYCODE_MEDIA_NEXT = 87 # 多媒体键 >> 下一首 KEYCODE_MEDIA_PREVIOUS = 88 # 多媒体键 >> 上一首 KEYCODE_MEDIA_CLOSE = 128 # 多媒体键 >> 关闭 KEYCODE_MEDIA_EJECT = 129 # 多媒体键 >> 弹出 KEYCODE_MEDIA_RECORD = 130 # 多媒体键 >> 录音 if __name__ == '__main__': a = AdbTools() pass

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null

0

null

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0

1

9238a72a6c6ffca4fc17e398558fafc0e65223b0

425

py

Python

apps/company/migrations/0018_alter_inspection_is_inspection_successful.py

samuVillegas/proyecto-fmc

595a201ed3a136b5db7daadd1be1ecaaae58aea6

[ "MIT" ]

null

apps/company/migrations/0018_alter_inspection_is_inspection_successful.py

samuVillegas/proyecto-fmc

595a201ed3a136b5db7daadd1be1ecaaae58aea6

[ "MIT" ]

null

apps/company/migrations/0018_alter_inspection_is_inspection_successful.py

samuVillegas/proyecto-fmc

595a201ed3a136b5db7daadd1be1ecaaae58aea6

[ "MIT" ]

null

# Generated by Django 4.0.1 on 2022-04-17 22:48 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('company', '0017_inspection_description'), ] operations = [ migrations.AlterField( model_name='inspection', name='is_inspection_successful', field=models.BooleanField(default=None, null=True), ), ]

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null

0

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null

0

1

92394ab87ad3c0d381f474179d582c21604b15ff

816

py

Python

vyperlogix/misc/_getframeInfo.py

raychorn/chrome_gui

f1fade70b61af12ee43c55c075aa9cfd32caa962

[ "CC0-1.0" ]

1

2020-09-29T01:36:33.000Z

vyperlogix/misc/_getframeInfo.py

raychorn/chrome_gui

f1fade70b61af12ee43c55c075aa9cfd32caa962

[ "CC0-1.0" ]

null

vyperlogix/misc/_getframeInfo.py

raychorn/chrome_gui

f1fade70b61af12ee43c55c075aa9cfd32caa962

[ "CC0-1.0" ]

null

# use sys._getframe() -- it returns a frame object, whose attribute # f_code is a code object, whose attribute co_name is the name: import sys this_function_name = sys._getframe().f_code.co_name # the frame and code objects also offer other useful information: this_line_number = sys._getframe().f_lineno this_filename = sys._getframe().f_code.co_filename # also, by calling sys._getframe(1), you can get this information # for the *caller* of the current function. So you can package # this functionality up into your own handy functions: def whoami(): import sys return sys._getframe(1).f_code.co_name me = whoami() # this uses argument 1, because the call to whoami is now frame 0. # and similarly: def callersname(): import sys return sys._getframe(2).f_code.co_name him = callersname()

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null

0

null

0

1

0

1

923c9cf40938312d11d7cd0afb9a1a8d330bf48b

24,250

py

Python

floodlight/vll_pusher.py

netgroup/Dreamer-VLL-Pusher

9b543a2799d7805ac2e1b5d4cfd3fa86d93875c6

[ "Apache-2.0" ]

1

2018-10-27T11:18:26.000Z

floodlight/vll_pusher.py

netgroup/Dreamer-VLL-Pusher

9b543a2799d7805ac2e1b5d4cfd3fa86d93875c6

[ "Apache-2.0" ]

null

floodlight/vll_pusher.py

netgroup/Dreamer-VLL-Pusher

9b543a2799d7805ac2e1b5d4cfd3fa86d93875c6

[ "Apache-2.0" ]

1

2018-11-21T10:21:26.000Z

#!/usr/bin/python ############################################################################################## # Copyright (C) 2014 Pier Luigi Ventre - (Consortium GARR and University of Rome "Tor Vergata") # Copyright (C) 2014 Giuseppe Siracusano, Stefano Salsano - (CNIT and University of Rome "Tor Vergata") # www.garr.it - www.uniroma2.it/netgroup - www.cnit.it # # # 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. # # Virtual Leased Line Pusher. # # @author Pier Luigi Ventre <pl.ventre@gmail.com> # @author Giuseppe Siracusano <a_siracusano@tin.it> # @author Stefano Salsano <stefano.salsano@uniroma2.it> # # import os import sys import subprocess import json import argparse import io import time import re import siphash # XXX Be Careful, For Now The Vll_Pusher Depends On vll_pusher.cfg; This file should be created by the [x] Deployer # (x = Mininet Deployer, TestBeds Deployer) # Parse vll options. Currently supports add and delete actions. # Syntax: # vll_pusher --controller {IP:REST_PORT} --add # vll_pusher --controller {IP:REST_PORT} --delete def parse_cmd_line(): parser = argparse.ArgumentParser(description='Virtual Leased Line Pusher') parser.add_argument('--controller', dest='controllerRestIp', action='store', default='localhost:8080', help='controller IP:RESTport, e.g., localhost:8080 or A.B.C.D:8080') parser.add_argument('--add', dest='action', action='store_const', const='add', default='add', help='action: add') parser.add_argument('--delete', dest='action', action='store_const', const='delete', default='add', help='action: delete') args = parser.parse_args() if len(sys.argv)==1: parser.print_help() sys.exit(1) return args # Read From vll_pusher.cfg The Configuration For The Vlls def read_conf_file(): global pusher_cfg print "*** Read Configuration File For Vll Pusher" path = "vll_pusher.cfg" if os.path.exists(path): conf = open(path,'r') pusher_cfg = json.load(conf) conf.close() else: print "No Configuration File Find In %s" % path sys.exit(-2) print "*** PUSHER_CFG", json.dumps(pusher_cfg, sort_keys=True, indent=4) # Utility function for the vlls persisentce def store_vll(name, dpid): # Store created vll attributes in local ./vlls.json datetime = time.asctime() vllParams = {'name': name, 'Dpid':dpid, 'datetime':datetime} str = json.dumps(vllParams) vllsDb = open('./vlls.json','a+') vllsDb.write(str+"\n") vllsDb.close() intf_to_port_number = {} def convert_intf_to_port_number(controllerRestIP): global intf_to_port_number command = "curl -s http://%s/wm/core/controller/switches/json | python -mjson.tool" % (controllerRestIP) result = os.popen(command).read() parsedResult = json.loads(result) default = None for vll in pusher_cfg['vlls']: lhs_intf = vll['lhs_intf'] lhs_dpid = vll['lhs_dpid'] port_number = intf_to_port_number.get("%s-%s" % (lhs_dpid, lhs_intf), default) if port_number == None : for switch in parsedResult: if switch["dpid"] == lhs_dpid: for port in switch["ports"]: if port["name"] == lhs_intf: port_number = str(port["portNumber"]) intf_to_port_number["%s-%s" % (lhs_dpid, lhs_intf)] = port_number vll['lhs_intf'] = port_number rhs_intf = vll['rhs_intf'] rhs_dpid = vll['rhs_dpid'] port_number = intf_to_port_number.get("%s-%s" % (rhs_dpid, rhs_intf), default) if port_number == None : for switch in parsedResult: if switch["dpid"] == rhs_dpid: for port in switch["ports"]: if port["name"] == rhs_intf: port_number = str(port["portNumber"]) intf_to_port_number["%s-%s" % (rhs_dpid, rhs_intf)] = port_number vll['rhs_intf'] = port_number print "*** PUSHER_CFG", json.dumps(pusher_cfg, sort_keys=True, indent=4) print "*** INTFS", json.dumps(intf_to_port_number, sort_keys=True, indent=4) # Add Vlls Reading All the Information From Configuration File def add_command(args): print "*** Add Vlls From Configuration File" print "*** Read Previous Vlls Inserted" if os.path.exists('./vlls.json'): vllsDb = open('./vlls.json','r') vlllines = vllsDb.readlines() vllsDb.close() else: vlllines={} read_conf_file() # We use this algorithm for the name generation key = '0123456789ABCDEF' sip = siphash.SipHash_2_4(key) # Extract from cmd line options the controlller information controllerRestIp = args.controllerRestIp # Dictionary that stores the mapping port:next_label # We allocate the label using a counter, and we associate for each port used in this execution the next usable label # Probably in future we can add the persistence for the label sw_port_tag = {} convert_intf_to_port_number(controllerRestIp) # We can have more than one vlls for vll in pusher_cfg['vlls']: # Retrieve the information srcSwitch = vll['lhs_dpid'] srcPort = vll['lhs_intf'] dstSwitch = vll['rhs_dpid'] dstPort = vll['rhs_intf'] srcLabel = vll['lhs_label'] dstLabel = vll['rhs_label'] print "*** Generate Name From VLL (%s-%s-%s) - (%s-%s-%s)" % (srcSwitch, srcPort, srcLabel, dstSwitch, dstPort, dstLabel) sip.update(srcSwitch + "$" + srcPort + "$" + dstSwitch + "$" + dstPort + "$" + srcLabel + "$" + dstLabel) # Generate the name digest = sip.hash() digest = str(digest) print "*** Vll Name", digest vllExists = False # if the vll exists in the vllDb, we don't insert the flow for line in vlllines: data = json.loads(line) if data['name']==(digest): print "Vll %s exists already Skip" % digest vllExists = True break if vllExists == True: continue print "*** Create Vll:" print "*** From Source Device OSHI-PE %s Port %s" % (srcSwitch,srcPort) print "*** To Destination Device OSHI-PE %s Port %s"% (dstSwitch,dstPort) # Retrieving route from source to destination # using Routing rest API command = "curl -s http://%s/wm/topology/route/%s/%s/%s/%s/json | python -mjson.tool" % (controllerRestIp, srcSwitch, srcPort, dstSwitch, dstPort) result = os.popen(command).read() parsedResult = json.loads(result) print #print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" # Dictionary used for store the label of current vll temp_sw_port_tag = {} # We insert the rule each two json item, because floodlight's getRoute for each dpid, provides # A couple of item the in/out port and the out/in port for the rules forward/reverse - see the # output of the previous command temp_key1 = None temp_key2 = None temp_tag1 = None temp_tag2 = None ap1Dpid = None ap1Port = None ap2Dpid = None ap2Port = None default = 2 max_value = 4095 if int(srcLabel) > max_value or int(dstLabel) > max_value: print "Ingress or Egress Label Not Allowable" sys.exit(-2) # We generate the labels associated for each port, while the ingress/egress and egress/ingress labels # come from the configuration file, because they depend on the local network choice for j in range(0, (len(parsedResult))): # Label for the LHS port if j == 0: temp_key1 = srcSwitch + "-" + srcPort temp_sw_port_tag[temp_key1] = int(srcLabel) if sw_port_tag.get(temp_key1,default) <= int(srcLabel): sw_port_tag[temp_key1] = int(srcLabel) # Label for the RHS port elif j == (len(parsedResult)-1): temp_key1 = dstSwitch + "-" + dstPort temp_sw_port_tag[temp_key1] = int(dstLabel) if sw_port_tag.get(temp_key1,default) <= int(dstLabel): sw_port_tag[temp_key1] = int(dstLabel) # Middle ports else : apDPID = parsedResult[j]['switch'] apPORT = parsedResult[j]['port'] temp_key1 = apDPID + "-" + str(apPORT) value = sw_port_tag.get(temp_key1, default) temp_sw_port_tag[temp_key1] = value value = value + 1 sw_port_tag[temp_key1] = value print "*** Current Route Tag:" print json.dumps(temp_sw_port_tag, sort_keys=True, indent=4) print print "*** Global Routes Tag:" print json.dumps(sw_port_tag, sort_keys=True, indent=4) print # Manage the special case of one hop if len(parsedResult) == 2: print "*** One Hop Route" # The Switch, where we insert the rule ap1Dpid = parsedResult[0]['switch'] # In port ap1Port = str(parsedResult[0]['port']) temp_key1 = ap1Dpid + "-" + ap1Port tag1 = temp_sw_port_tag[temp_key1] # ap1Dpid == ap2Dpid ap2Dpid = parsedResult[1]['switch'] # Out port ap2Port = str(parsedResult[1]['port']) temp_key2 = ap2Dpid + "-" + ap2Port tag2 = temp_sw_port_tag[temp_key2] if tag1 == 0 and tag2 ==0: # Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", ap1Port, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag1 !=0 and tag2==0: # Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"strip-vlan,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", tag1, ap1Port, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag1 ==0 and tag2 !=0: # Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", "0xffff", ap1Port, tag2, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" else: # Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", tag1, ap1Port, tag2, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" if tag2 == 0 and tag1 ==0: # Reverse Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", ap2Port, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag2 != 0 and tag1 ==0: # Reverse Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"strip-vlan,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", tag2, ap2Port, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag2 == 0 and tag1 !=0: # Reverse Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", "0xffff", ap2Port, tag1, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" else: # Reverse Forward's Rule command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", tag2, ap2Port, tag1, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" store_vll(digest, ap1Dpid) # see the image one_hop for details on the switching label procedure else: # In the other cases we use a different approach for the rule; before we see the label # of the inport and outport of the same dpid; with more than one hop we see in general for # the forward rule the label of the inport on the next switch, while in the reverse rule the label of the inport on the # previous switch. The previous approach is nested in a for loop, we use this loop in the middle dpid, while # we manage as special case the ingress/egress node, because the rules are different print "*** %s Hop Route" % (len(parsedResult)/2) # We manage first ingress/egress node print "*** Create Ingress Rules For LHS Of The Vll - %s" % (srcSwitch) # see the image more_than_one_hop for details on the switching label procedure ap1Dpid = parsedResult[0]['switch'] ap1Port = parsedResult[0]['port'] temp_key1 = ap1Dpid + "-" + str(ap1Port) tag1 = temp_sw_port_tag[temp_key1] print "*** inKey: %s, inTag: %s" % (temp_key1, tag1) ap2Dpid = parsedResult[1]['switch'] ap2Port = parsedResult[1]['port'] temp_key2 = parsedResult[2]['switch'] + "-" + str(parsedResult[2]['port']) tag2 = temp_sw_port_tag[temp_key2] print "*** outKey: %s, outTag: %s" % (temp_key2, tag2) print if tag1 == 0 and tag2 !=0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", "0xffff", ap1Port, tag2, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag1 != 0 and tag2 !=0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", tag1, ap1Port, tag2, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" else: print "Error Tag"; sys.exit(-2) print "*** Create Egress Rules For LHS Of The Vll - %s" % (srcSwitch) temp_key2 = temp_key1 tag2 = tag1 temp_key1 = ap2Dpid + "-" + str(ap2Port) tag1 = temp_sw_port_tag[temp_key1] print "*** inKey: %s, inTag: %s" % (temp_key1, tag1) print "*** outKey: %s, outTag: %s" % (temp_key2, tag2) print if tag1 != 0 and tag2 ==0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"strip-vlan,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", tag1, ap2Port, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag1 != 0 and tag2 !=0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", tag1, ap2Port, tag2, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" else: print "Error Tag"; sys.exit(-2) store_vll(digest, ap1Dpid) print "*** Create Egress Rules For RHS Of The Vll - %s" % (dstSwitch) ap1Dpid = parsedResult[len(parsedResult)-2]['switch'] ap1Port = parsedResult[len(parsedResult)-2]['port'] temp_key1 = ap1Dpid + "-" + str(ap1Port) tag1 = temp_sw_port_tag[temp_key1] print "*** inKey: %s, inTag: %s" % (temp_key1, tag1) ap2Dpid = parsedResult[len(parsedResult)-1]['switch'] ap2Port = parsedResult[len(parsedResult)-1]['port'] temp_key2 = ap2Dpid + "-" + str(ap2Port) tag2 = temp_sw_port_tag[temp_key2] print "*** outKey: %s, outTag: %s" % (temp_key2, tag2) print if tag1 != 0 and tag2 ==0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"strip-vlan,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", tag1, ap1Port, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag1 != 0 and tag2 !=0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", tag1, ap1Port, tag2, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" else: print "Error Tag"; sys.exit(-2) print "*** Create Ingress Rules For RHS Of The Vll - %s" % (dstSwitch) temp_key1 = parsedResult[len(parsedResult)-3]['switch'] + "-" + str(parsedResult[len(parsedResult)-3]['port']) tag1 = temp_sw_port_tag[temp_key1] print "*** inKey: %s, inTag: %s" % (temp_key2, tag2) print "*** outKey: %s, outTag: %s" % (temp_key1, tag1) print if tag1 != 0 and tag2 ==0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", "0xffff", ap2Port, tag1, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" elif tag1 != 0 and tag2 !=0: command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", tag2, ap2Port, tag1, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" else: print "Error Tag"; sys.exit(-2) store_vll(digest, ap1Dpid) # Now we manage the middle nodes for i in range(2, (len(parsedResult)-2)): print "index:", i if i % 2 == 0: ap1Dpid = parsedResult[i]['switch'] ap1Port = parsedResult[i]['port'] print ap1Dpid, ap1Port else: ap2Dpid = parsedResult[i]['switch'] ap2Port = parsedResult[i]['port'] print ap2Dpid, ap2Port print "*** Create Rules For %s" % ap1Dpid # send one flow mod per pair in route # using StaticFlowPusher rest API temp_key1 = ap1Dpid + "-" + str(ap1Port) tag1 = temp_sw_port_tag[temp_key1] print "*** inKey: %s, inTag: %s" % (temp_key1, tag1) temp_key2 = parsedResult[i+1]['switch'] + "-" + str(parsedResult[i+1]['port']) tag2 = temp_sw_port_tag[temp_key2] print "*** outKey: %s, outTag: %s" % (temp_key2, tag2) print command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".f", tag1, ap1Port, tag2, ap2Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" temp_key1 = ap2Dpid + "-" + str(ap2Port) tag1 = temp_sw_port_tag[temp_key1] print "*** inKey: %s, inTag: %s" % (temp_key1, tag1) temp_key2 = parsedResult[i-2]['switch'] + "-" + str(parsedResult[i-2]['port']) tag2 = temp_sw_port_tag[temp_key2] print "*** outKey: %s, outTag: %s" % (temp_key2, tag2) print command = "curl -s -d '{\"switch\": \"%s\", \"name\":\"%s\", \"vlan-id\":\"%s\", \"cookie\":\"0\", \"priority\":\"32768\", \"ingress-port\":\"%s\",\"active\":\"true\", \"actions\":\"set-vlan-id=%s,output=%s\"}' http://%s/wm/staticflowentrypusher/json | python -mjson.tool" % (ap1Dpid, ap1Dpid + "." + digest + ".r", tag1, ap2Port, tag2, ap1Port, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" store_vll(digest, ap1Dpid) def del_command(args): print "*** Delete Vlls From Configuration File" print "*** Read Previous Vlls Inserted" if os.path.exists('vlls.json'): vllsDb = open('vlls.json','r') lines = vllsDb.readlines() vllsDb.close() vllsDb = open('vlls.json','w') else: lines={} print "*** No Vlls Inserted" return # Removing previously created flow from switches # using StaticFlowPusher rest API # currently, circuitpusher records created circuits in local file ./circuits.db # with circuit name and list of switches controllerRestIp = args.controllerRestIp for line in lines: data = json.loads(line) sw = data['Dpid'] digest = data['name'] print "*** Deleting Vll: %s - Switch %s" % (digest,sw) command = "curl -X DELETE -d '{\"name\":\"%s\", \"switch\":\"%s\"}' http://%s/wm/staticflowentrypusher/json 2> /dev/null | python -mjson.tool" % (sw + "." + digest + ".f", sw, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" command = "curl -X DELETE -d '{\"name\":\"%s\", \"switch\":\"%s\"}' http://%s/wm/staticflowentrypusher/json 2> /dev/null | python -mjson.tool" % (sw + "." + digest +".r", sw, controllerRestIp) result = os.popen(command).read() print "*** Sent Command:", command + "\n" print "*** Received Result:", result + "\n" vllsDb.close() def run_command(data): if args.action == 'add': add_command(data) elif args.action == 'delete': del_command(data) if __name__ == '__main__': args = parse_cmd_line() run_command(args)

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null

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1

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1

9242fcee18924cfc75c9b5f04ff881874a1a4e66

1,229

py

Python

iot_services_sdk/session.py

sap-archive/iot-services-sdk

157e607b0c8b3a7b77836336aa31d89ebd8e9f86

[ "CNRI-Python" ]

4

2019-05-02T07:51:13.000Z

2019-09-25T12:14:06.000Z

iot_services_sdk/session.py

sap-archive/iot-services-sdk

157e607b0c8b3a7b77836336aa31d89ebd8e9f86

[ "CNRI-Python" ]

2

2019-09-13T15:36:32.000Z

2019-11-15T06:01:09.000Z

iot_services_sdk/session.py

SAP/iot-services-sdk

157e607b0c8b3a7b77836336aa31d89ebd8e9f86

[ "CNRI-Python" ]

1

2020-01-17T15:44:52.000Z

""" Author: Philipp Steinrötter (steinroe) """ from .iot_service import IoTService from .response import Response class SessionService(IoTService): def __init__(self, instance, user, password): """Instantiate SessionService object Arguments: instance {string} -- IoT Services instance user {string} -- IoT Services user password {string} -- IoT Services password """ self.service = '' IoTService.__init__( self, instance=instance, user=user, password=password ) def logout(self) -> Response: """Logs out the user by invalidating the session. The user is identified via session cookie or the Authorization header. """ service = '/logout' response = self.request_core(method='POST', service=service, accept_json=True) return response def me(self) -> Response: """The current user is identified via session cookie or the Authorization header.""" service = '/me' response = self.request_core(method='POST', service=service, accept_json=True) return response

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false

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0.363636

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null

0

null

0

1

0

1

9244aa4117e40f1bf99002ca86723057b1690b0e

736

py

Python

tests/test_pieces.py

trslater/chess

0c29faf1296f76020f8e213e9c218c05043668bb

[ "MIT" ]

null

tests/test_pieces.py

trslater/chess

0c29faf1296f76020f8e213e9c218c05043668bb

[ "MIT" ]

null

tests/test_pieces.py

trslater/chess

0c29faf1296f76020f8e213e9c218c05043668bb

[ "MIT" ]

null

from chess.pieces import Pawn, Knight, Bishop, Rook, Queen, King class TestPiece: def test_sum(self): groups = ((Pawn(), Knight(), Bishop()), (Knight(), Bishop(), Queen()), (Pawn(), Pawn(), Pawn(), Pawn())) actual_sums = tuple(map(sum, groups)) expected_sums = (7, 15, 4) for actual_sum, expected_sum in zip(actual_sums, expected_sums): assert actual_sum == expected_sum def test_compare(self): assert Knight() == Knight() assert Bishop() == Knight() assert King() <= King() assert Bishop() <= Rook() assert King() > Queen() assert Pawn() < Knight() assert Queen() != Rook()

30.666667

72

0.532609

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0.104712

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736

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0.111111

false

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0.222222

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null

0

null

0

1

0

1

924898f498fe7a8a90741bbddcf129930d8751be

11,617

py

Python

tarpn/netrom/router.py

rxt1077/tarpn-node-controller

ffbe1d78fbd1c10e891b3339b50002e5233e21ad

[ "MIT" ]

null

tarpn/netrom/router.py

rxt1077/tarpn-node-controller

ffbe1d78fbd1c10e891b3339b50002e5233e21ad

[ "MIT" ]

null

tarpn/netrom/router.py

rxt1077/tarpn-node-controller

ffbe1d78fbd1c10e891b3339b50002e5233e21ad

[ "MIT" ]

null

import datetime import os from dataclasses import dataclass, field from operator import attrgetter from typing import List, Dict, Optional, cast, Set from tarpn.ax25 import AX25Call from tarpn.netrom import NetRomPacket, NetRomNodes, NodeDestination from tarpn.network import L3RoutingTable, L3Address import tarpn.network.netrom_l3 as l3 from tarpn.util import json_dump, json_load @dataclass class Neighbor: call: AX25Call port: int quality: int def __hash__(self): return hash(self.call) def to_safe_dict(self): return { "call": str(self.call), "port": self.port, "quality": self.quality } @classmethod def from_safe_dict(cls, d): return cls(call=AX25Call.parse(d["call"]), port=d["port"], quality=d["quality"]) @dataclass class Route: neighbor: AX25Call dest: AX25Call next_hop: AX25Call quality: int obsolescence: int def to_safe_dict(self): return { "neighbor": str(self.neighbor), "destination": str(self.dest), "next_hop": str(self.next_hop), "quality": self.quality, "obsolescence": self.obsolescence } @classmethod def from_safe_dict(cls, d): return cls(neighbor=AX25Call.parse(d["neighbor"]), dest=AX25Call.parse(d["destination"]), next_hop=AX25Call.parse(d["next_hop"]), quality=d["quality"], obsolescence=d["obsolescence"]) def __hash__(self): return hash((self.neighbor, self.dest)) @dataclass class Destination: node_call: AX25Call node_alias: str neighbor_map: Dict[str, Route] = field(default_factory=dict, compare=False, hash=False) freeze: bool = False def __hash__(self): return hash((self.node_call, self.node_alias)) def to_safe_dict(self): return { "call": str(self.node_call), "alias": self.node_alias, "freeze": self.freeze, "routes": [route.to_safe_dict() for route in self.neighbor_map.values()] } @classmethod def from_safe_dict(cls, d): instance = cls(node_call=AX25Call.parse(d["call"]), node_alias=d["alias"], freeze=d["freeze"]) instance.neighbor_map = { route_dict["neighbor"]: Route.from_safe_dict(route_dict) for route_dict in d["routes"] } return instance def sorted_neighbors(self): return sorted(self.neighbor_map.values(), key=attrgetter("quality"), reverse=True) @dataclass class NetRomRoutingTable(L3RoutingTable): node_alias: str updated_at: datetime.datetime = field(default_factory=datetime.datetime.now) our_calls: Set[AX25Call] = field(default_factory=set, compare=False, hash=False) # Neighbors is a map of direct neighbors we have, i.e., who we have heard NODES from neighbors: Dict[str, Neighbor] = field(default_factory=dict, compare=False, hash=False) # Destinations is the content of the NODES table, what routes exist to other nodes through which neighbors destinations: Dict[str, Destination] = field(default_factory=dict, compare=False, hash=False) # TODO config all these default_obs: int = 100 default_quality: int = 255 min_quality: int = 50 min_obs: int = 4 def __repr__(self): s = "Neighbors:\n" for neighbor in self.neighbors.values(): s += f"\t{neighbor}\n" s += "Destinations:\n" for dest in self.destinations.values(): s += f"\t{dest}\n" return s.strip() def __hash__(self): return hash((self.node_alias, self.updated_at)) def save(self, filename: str): d = { "node_alias": self.node_alias, "updated_at": self.updated_at.isoformat(), "our_calls": [str(call) for call in self.our_calls], "neighbors": [n.to_safe_dict() for n in self.neighbors.values()], "destinations": [d.to_safe_dict() for d in self.destinations.values()] } json_dump(filename, d) @classmethod def load(cls, filename: str, node_alias: str): if not os.path.exists(filename): return NetRomRoutingTable(node_alias=node_alias, updated_at=datetime.datetime.now()) d = json_load(filename) return NetRomRoutingTable(node_alias=d["node_alias"], updated_at=datetime.datetime.fromisoformat(d["updated_at"]), our_calls={AX25Call.parse(call) for call in d["our_calls"]}, neighbors={n_dict["call"]: Neighbor.from_safe_dict(n_dict) for n_dict in d["neighbors"]}, destinations={d_dict["call"]: Destination.from_safe_dict(d_dict) for d_dict in d["destinations"]}) def route(self, packet: NetRomPacket) -> List[AX25Call]: """ If a packet's destination is a known neighbor, route to it. Otherwise look up the route with the highest quality and send the packet to the neighbor which provided that route :param packet: :return: list of neighbor callsign's in sorted order of route quality """ if packet.dest in self.neighbors: return [packet.dest] else: dest = self.destinations.get(str(packet.dest)) if dest: return [n.neighbor for n in dest.sorted_neighbors()] else: return [] def route1(self, destination: L3Address) -> Optional[int]: if not isinstance(destination, l3.NetRomAddress): print(f"Wrong address family, expected NET/ROM got {destination.__class__}") return None netrom_dest = cast(l3.NetRomAddress, destination) packet_dest = AX25Call(netrom_dest.callsign, netrom_dest.ssid) # TODO handle alias here if packet_dest in self.neighbors: return self.neighbors.get(str(packet_dest)).port else: dest = self.destinations.get(str(packet_dest)) if dest: neighbors = dest.sorted_neighbors() if len(neighbors) > 0: return self.neighbors.get(str(neighbors[0].neighbor)).port else: return None else: return None def listen_for_address(self, app_call: AX25Call, app_alias: str): app_routes = {} for our_call in self.our_calls: app_routes[str(our_call)] = Route(our_call, app_call, our_call, 95, 100) self.destinations[str(app_call)] = Destination(app_call, app_alias, app_routes, True) def refresh_route(self, heard_from: str, node: str): """ Refresh the obsolescence for a route """ if node in self.destinations: route = self.destinations[node].neighbor_map.get(heard_from) if route is not None: route.obsolescence = self.default_obs else: print(f"Cannot refresh route to {node} via {heard_from}. {heard_from} is not in our neighbor map.") else: print(f"Cannot refresh route to {node}. It is not in our destination map.") def update_routes(self, heard_from: AX25Call, heard_on_port: int, nodes: NetRomNodes): """ Update the routing table with a NODES broadcast. This method is not thread-safe. """ # Get or create the neighbor and destination neighbor = self.neighbors.get(str(heard_from), Neighbor(heard_from, heard_on_port, self.default_quality)) self.neighbors[str(heard_from)] = neighbor # Add direct route to whoever sent the NODES dest = self.destinations.get(str(heard_from), Destination(heard_from, nodes.sending_alias)) dest.neighbor_map[str(heard_from)] = Route(heard_from, heard_from, heard_from, self.default_quality, self.default_obs) self.destinations[str(heard_from)] = dest for destination in nodes.destinations: # Filter out ourselves route_quality = 0 if destination.best_neighbor in self.our_calls: # Best neighbor is us, this is a "trivial loop", quality is zero continue else: # Otherwise compute this route's quality based on the NET/ROM spec route_quality = (destination.quality * neighbor.quality + 128.) / 256. # Only add routes which are above the minimum quality to begin with TODO check this logic if route_quality > self.min_quality: new_dest = self.destinations.get(str(destination.dest_node), Destination(destination.dest_node, destination.dest_alias)) new_route = new_dest.neighbor_map.get( str(neighbor.call), Route(neighbor.call, destination.dest_node, destination.best_neighbor, int(route_quality), self.default_obs)) new_route.quality = route_quality new_route.obsolescence = self.default_obs new_dest.neighbor_map[str(neighbor.call)] = new_route self.destinations[str(destination.dest_node)] = new_dest else: # print(f"Saw new route for {destination}, but quality was too low") pass self.updated_at = datetime.datetime.now() def prune_routes(self) -> None: """ Prune any routes which we haven't heard about in a while. This method is not thread-safe. """ # print("Pruning routes") for call, destination in list(self.destinations.items()): if destination.freeze: # Don't prune frozen routes continue for neighbor, route in list(destination.neighbor_map.items()): route.obsolescence -= 1 if route.obsolescence <= 0: # print(f"Removing {neighbor} from {destination} neighbor's list") del destination.neighbor_map[neighbor] if len(destination.neighbor_map.keys()) == 0: # print(f"No more routes to {call}, removing from routing table") del self.destinations[call] if call in self.neighbors.keys(): del self.neighbors[call] self.updated_at = datetime.datetime.now() def clear_routes(self) -> None: self.destinations.clear() self.neighbors.clear() self.updated_at = datetime.datetime.now() def get_nodes(self) -> NetRomNodes: node_destinations = [] for destination in self.destinations.values(): # Otherwise find best neighbor route best_neighbor = None for neighbor in destination.sorted_neighbors(): if neighbor.obsolescence >= self.min_obs: best_neighbor = neighbor break else: # print(f"Not including {neighbor} in NODES, obsolescence below threshold") pass if best_neighbor: node_destinations.append(NodeDestination(destination.node_call, destination.node_alias, best_neighbor.next_hop, best_neighbor.quality)) else: # print(f"No good neighbor was found for {destination}") pass return NetRomNodes(self.node_alias, node_destinations)

40.197232

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0.608419

1,379

11,617

4.971719

0.165337

0.019691

0.008751

0.021879

0.176634

0.129522

0.101663

0.063886

0.034714

0.013419

0

0.008692

0.296892

11,617

288

133

40.336806

0.830681

0.123698

0

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0

0.004739

0.055644

0.002294

0

0.010417

0

1

0.104265

false

0.014218

0.047393

0.379147

0.014218

0

null

0

null

0

1

0

1

924ad870dca0b68ac369ce463d3a75f82ddca91b

1,119

py

Python

blacktape/pipeline.py

carascap/blacktape

52e0b912f4c67899911d10d2d6e3770671db02fa

[ "MIT" ]

null

blacktape/pipeline.py

carascap/blacktape

52e0b912f4c67899911d10d2d6e3770671db02fa

[ "MIT" ]

1

2022-02-22T19:45:27.000Z

blacktape/pipeline.py

carascap/blacktape

52e0b912f4c67899911d10d2d6e3770671db02fa

[ "MIT" ]

null

from concurrent.futures import ProcessPoolExecutor, as_completed from typing import Iterable, Optional from blacktape.lib import match_entities_in_text, match_pattern_in_text from blacktape.util import worker_init class Pipeline: """ Wrapper around ProcessPoolExecutor """ def __init__(self, spacy_model: Optional[str] = None): self.spacy_model = spacy_model self.executor = ProcessPoolExecutor(initializer=worker_init) self.futures = [] def results(self): for future in as_completed(self.futures): yield future.result() def __enter__(self): return self def __exit__(self, exc_type, exc_val, exc_tb): self.executor.shutdown() def submit_ner_job(self, text: str, entity_types: Optional[Iterable[str]] = None): self.futures.append( self.executor.submit( match_entities_in_text, text, self.spacy_model, entity_types ) ) def submit_regex_job(self, text: str, pattern: str): self.futures.append(self.executor.submit(match_pattern_in_text, text, pattern))

30.243243

87

0.688114

136

1,119

5.360294

0.382353

0.032922

0.057613

0.052126

0.109739

0

0.226095

1,119

36

88

31.083333

0.841801

0.030384

0

1

0.25

false

0

0.166667

0.041667

0.5

0

null

0

null

0

1

0

1

925679157584e0c93b47453d951d15d7ead1a249

1,299

py

Python

graph.py

tannerb/genetic_math

96fd0fb2b988a22ff0399b4e8386570ae377e284

[ "MIT" ]

null

graph.py

tannerb/genetic_math

96fd0fb2b988a22ff0399b4e8386570ae377e284

[ "MIT" ]

null

graph.py

tannerb/genetic_math

96fd0fb2b988a22ff0399b4e8386570ae377e284

[ "MIT" ]

null

# graph from datetime import date import numpy as np from bokeh.client import push_session from bokeh.io import output_server, show, vform from bokeh.palettes import RdYlBu3 from bokeh.plotting import figure, curdoc, vplot, output_server from bokeh.models import ColumnDataSource from bokeh.models.widgets import DataTable, DateFormatter, TableColumn from random import randint # create a plot and style its properties p = figure(x_range=(0, 100), y_range=(0, 100)) p.border_fill_color = 'black' p.background_fill_color = 'black' p.outline_line_color = None p.grid.grid_line_color = None # add a text renderer to out plot (no data yet) r = p.text(x=[], y=[], text=[], text_color=[], text_font_size="20pt", text_baseline="middle", text_align="center") session = push_session(curdoc()) data = dict( dates=[date(2014, 3, i+1) for i in range(10)], downloads=[randint(0, 100) for i in range(10)], ) source = ColumnDataSource(data) columns = [ TableColumn(field="dates", title="Date", formatter=DateFormatter()), TableColumn(field="downloads", title="Downloads"), ] data_table = DataTable(source=source, columns=columns, width=400, height=280) curdoc().add_root(vform(data_table)) session.show()

28.23913

78

0.69746

181

1,299

4.883978

0.497238

0.061086

0.033937

0.029412

0

0.029273

0.184758

1,299

45

79

28.866667

0.805477

0.069284

0

0.045729

0

1

0

false

0

0.310345

0

0.310345

0

null

0

null

0

1

0

1

9259b7ed50eae624a0ff1eb302547c63e7d7b373

1,113

py

Python

tests/test_default_currencies_provider.py

pedroburon/python-monon

670a5c5e98171838d43fd1f72d0afbf7a70b937b

[ "MIT" ]

1

2017-07-10T15:32:48.000Z

tests/test_default_currencies_provider.py

pedroburon/python-monon

670a5c5e98171838d43fd1f72d0afbf7a70b937b

[ "MIT" ]

5

2017-07-10T16:34:28.000Z

2017-07-10T16:41:38.000Z

tests/test_default_currencies_provider.py

pedroburon/python-monon

670a5c5e98171838d43fd1f72d0afbf7a70b937b

[ "MIT" ]

null

from unittest import TestCase from decimal import Decimal, ROUND_UP from monon.currency import DefaultCurrenciesProvider class DefaultCurrenciesProviderTestCase(TestCase): def setUp(self): self.provider = DefaultCurrenciesProvider() self.isocode = 'USD' def test_decimal_places(self): self.assertEqual(2, self.provider.get_decimal_places(self.isocode)) def test_symbol(self): self.assertEqual('$', self.provider.get_symbol(self.isocode)) def test_validate_currency(self): self.assertIsNone(self.provider.validate_currency(self.isocode)) def test_format_positive_amount(self): amount = Decimal('43321.123') expected = '$43321.123' self.assertEqual(expected, self.provider.format_amount(self.isocode, amount)) def test_format_negative_amount(self): amount = Decimal('-1234.123') expected = '-$1234.123' self.assertEqual(expected, self.provider.format_amount(self.isocode, amount)) def test_rounding(self): self.assertEqual(ROUND_UP, self.provider.get_rounding(self.isocode))

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0.716083

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1,113

6.110236

0.275591

0.108247

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0.190722

0

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0.179695

1,113

35

90

31.8

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0

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0

0.03777

0

0.26087

1

0.304348

false

0

0.130435

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0.478261

0

null

0

null

0

1

0

1

925d10b9338d7e7d834dd03a2a709b1fb7059381

5,913

py

Python

combinatorial_gwas/phenotypes/__init__.py

hoangthienan95/combinatorial_GWAS

c6d51f6214f96773b2a271c706ed7026152e0fbb

[ "Apache-2.0" ]

null

combinatorial_gwas/phenotypes/__init__.py

hoangthienan95/combinatorial_GWAS

c6d51f6214f96773b2a271c706ed7026152e0fbb

[ "Apache-2.0" ]

null

combinatorial_gwas/phenotypes/__init__.py

hoangthienan95/combinatorial_GWAS

c6d51f6214f96773b2a271c706ed7026152e0fbb

[ "Apache-2.0" ]

null

# AUTOGENERATED! DO NOT EDIT! File to edit: notebooks/package/phenotypes.ipynb (unless otherwise specified). __all__ = ['QueryDataframe', 'parameters', 'catalog_all', 'catalog_all', 'read_csv_compressed', 'get_GWAS_result_link', 'heritability_Neale', 'display_cols', 'quality_heritability_phenos', 'quality_heritability_phenos', 'icd10_pheno_matrix', 'icd10_primary_cols', 'icd10_pheno_matrix', 'upsample_pheno', 'get_phenotype', 'get_GWAS_snps_for_trait'] # Cell from ..data_catalog import get_catalog, get_parameters import combinatorial_gwas from pathlib import Path import pandas as pd from dataclasses import dataclass from functools import partial import numpy as np from typing import List, Union from fastcore.utils import partialler import logging # Cell @pd.api.extensions.register_dataframe_accessor("pheno") @dataclass class QueryDataframe(): df: pd.DataFrame def query(self, **column_dict:dict): query_str = " and ".join([f"({col} {cond})" for col, cond in column_dict.items()]) return self.df.query(query_str) # Cell parameters = get_parameters() parameters # Cell catalog_all = get_catalog() catalog_all = catalog_all.reload() catalog_all.list() # Cell read_csv_compressed= partialler(pd.read_csv, sep="\t", compression= "gzip") get_GWAS_result_link = partialler(parameters['template_gwas_result_file_link'].format) # Cell heritability_Neale = catalog_all.load("heritability_trait_level_summary") heritability_Neale.head() # Cell display_cols = ['description', 'h2_liability', 'h2_sig', 'confidence', 'n_cases', 'n_controls', 'prevalence'] # Cell quality_heritability_phenos = heritability_Neale.pheno.query(h2_sig = "in ['z7', 'z4']", source= " == 'icd10'", confidence= "in ['medium', 'high']").sort_values("h2_liability", ascending = False) quality_heritability_phenos = quality_heritability_phenos.set_index("phenotype") quality_heritability_phenos.head()[display_cols] # Cell logging.warning("Loading ICD phenotype matrix, this might take a while") icd10_pheno_matrix = catalog_all.load("ICD10_pheno_matrix") #get the first 3 character of ICD code icd10_primary_cols = icd10_pheno_matrix.columns[icd10_pheno_matrix.columns.str.contains("primary")] icd10_pheno_matrix = icd10_pheno_matrix.astype(str).apply(lambda x: x.str.slice(0,3)) logging.warning("Finished loading ICD10 matrix") # Cell def upsample_pheno(pheno_df, balance_pheno, max_samples, random_state): weights = pheno_df[balance_pheno].replace(pheno_df[balance_pheno].value_counts(normalize=True).to_dict()) pheno_df_upsampled = pheno_df.sample(max_samples, replace=True, weights = 1/weights, random_state=random_state) return pheno_df_upsampled def get_phenotype(icd10_codes: Union[str, List[str]] ="I84", samples:np.array=None, max_samples:int = None, balance_pheno: str = None, random_state=42): """ if samples argument is provided from genetic file, then find common set of samples and output ordered phenotype if `max_samples` is provided, then over-sample the data so that we have `max_samples/2` for both cases and controls """ icd10_codes = [icd10_codes] if not isinstance(icd10_codes, list) else icd10_codes pheno_df_list = [icd10_pheno_matrix[icd10_primary_cols].isin([icd10_code]).any(axis=1).astype(int) for icd10_code in icd10_codes] pheno_df = pd.concat(pheno_df_list, axis=1) pheno_df.columns = icd10_codes if samples is not None: geno_pheno_sample_index_mask = np.isin(samples.astype(int), pheno_df.index) pheno_geno_samples_common_set = samples[geno_pheno_sample_index_mask].astype(int) pheno_df_ordered = pheno_df.loc[list(pheno_geno_samples_common_set), :] pheno_df_ordered = pheno_df_ordered.loc[~pheno_df_ordered.index.duplicated(keep="first"),:] sample_index = np.argwhere(geno_pheno_sample_index_mask).reshape(-1) if max_samples is not None: if balance_pheno is None: raise ValueError("Need to specify `balance_pheno` param: phenotype to balance during subsampling") pheno_df_ordered = upsample_pheno(pheno_df_ordered, balance_pheno, max_samples, random_state) sorter = np.argsort(samples.astype(int)) sample_index = sorter[np.searchsorted(samples.astype(int), pheno_df_ordered.index, sorter=sorter)] assert np.allclose(samples[sample_index].astype(int), pheno_df_ordered.index), "sample mismatch between genotype and phenotype, something wrong with the `get_phenotype` function!" pheno_df_ordered.index = pheno_df_ordered.index.astype(str) return pheno_df_ordered return pheno_df # Cell def get_GWAS_snps_for_trait(phenotype_code= "I84", chromosome:Union[int, List[int]] = 21, sort_val_cols_list: List[str] = ["pval"], ascending_bool_list: List[bool] = [True], id_only= True): chromosome = [chromosome] if not isinstance(chromosome, list) else chromosome chromosome_str = [f"{single_chromosome}:" for single_chromosome in chromosome] gwas_result_df = read_csv_compressed(get_GWAS_result_link(phenotype_code=phenotype_code)) gwas_result_df = gwas_result_df.loc[gwas_result_df["variant"].str.startswith(tuple(chromosome_str)), :] gwas_result_df = gwas_result_df.reset_index(drop=True).reset_index().rename(columns = {"index":"position_rank"}) gwas_result_df = gwas_result_df.sort_values(sort_val_cols_list, ascending = ascending_bool_list) variant_id_df = gwas_result_df["variant"].str.split(":",expand=True) variant_id_df["chr1_4"] =variant_id_df[[1,2,3]].apply("_".join, axis=1) variant_id_df[1] = variant_id_df[1].astype(int) gwas_result_df[["chr", "position", "major_allele"]] = variant_id_df[[0, 1, 2]] gwas_result_df["full_id"] = variant_id_df[[0, "chr1_4"]].apply(":".join, axis=1) if id_only: return gwas_result_df["full_id"].values else: return gwas_result_df

46.559055

195

0.753425

839

5,913

4.984505

0.274136

0.040172

0.037303

0.022716

0.196078

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0.275

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null

0

1

0

null

0

1

9273889db8121468c67067e3c3728797e69262dd

1,251

py

Python

server/py/dummy.py

sreyas/Attendance-management-system

eeb57bcc942f407151b71bfab528e817c6806c74

[ "MIT" ]

null

server/py/dummy.py

sreyas/Attendance-management-system

eeb57bcc942f407151b71bfab528e817c6806c74

[ "MIT" ]

null

server/py/dummy.py

sreyas/Attendance-management-system

eeb57bcc942f407151b71bfab528e817c6806c74

[ "MIT" ]

null

import numpy as np import glob,os import datetime from pathlib import Path from pymongo import MongoClient from flask_mongoengine import MongoEngine from bson.objectid import ObjectId client = MongoClient(port=27017) db=client.GetMeThrough; binary =0; home = str(os.path.dirname(os.path.abspath(__file__))) + "/../../" file_names = glob.glob(home + "/known_people/*.jp*g") home = str(os.path.dirname(os.path.abspath(__file__))) + "/../../" known_encodings_file_path = home + "/data/known_encodings_file.csv" people_file_path = home + "/data/people_file.csv" known_encodings_file = Path(known_encodings_file_path) date_format = "%Y-%m-%d %H:%M:%S.%f" current_date = str(datetime.datetime.now()) attendance_system = db.attendance.find({"user": ObjectId("5ab221040784981645037c3a")}) res = [col.encode('utf8') if isinstance(col, unicode) else col for col in attendance_system] for attendance_doc in res: date_time = attendance_doc['date_time'] time1 = datetime.datetime.strptime(date_time.encode('utf8'), date_format) time2 = datetime.datetime.strptime(str(datetime.datetime.now()), date_format) diff = time2 - time1 minutes = (diff.seconds) / 60 print minutes if(minutes >=30): print ("hjhk")

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0.075862

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0.13749

1,251

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null

0

null

0

1

0

1

9280f582ef5d54e9016b69411e4065df25b247b7

2,650

py

Python

indicators/data.py

WPRDC/community-simulacrum

c463de3dac1749c82537c6c6ac74c50eb5b9be75

[ "MIT" ]

null

indicators/data.py

WPRDC/community-simulacrum

c463de3dac1749c82537c6c6ac74c50eb5b9be75

[ "MIT" ]

6

2020-12-18T17:21:35.000Z

2021-03-03T21:08:44.000Z

indicators/data.py

WPRDC/community-simulacrum

c463de3dac1749c82537c6c6ac74c50eb5b9be75

[ "MIT" ]

null

import dataclasses import typing from dataclasses import dataclass from typing import List from typing import Optional from profiles.settings import DENOM_DKEY, VALUE_DKEY, GEOG_DKEY, TIME_DKEY if typing.TYPE_CHECKING: from indicators.models import CensusVariable, CKANVariable @dataclass class Datum: variable: str geog: str time: str value: Optional[float] = None moe: Optional[float] = None percent: Optional[float] = None denom: Optional[float] = None @staticmethod def from_census_response_datum(variable: 'CensusVariable', census_datum) -> 'Datum': return Datum( variable=variable.slug, geog=census_datum.get('geog'), time=census_datum.get('time'), value=census_datum.get('value'), moe=census_datum.get('moe'), denom=census_datum.get('denom'), percent=census_datum.get('percent'), ) @staticmethod def from_census_response_data(variable: 'CensusVariable', census_data: list[dict]) -> List['Datum']: return [Datum.from_census_response_datum(variable, census_datum) for census_datum in census_data] @staticmethod def from_ckan_response_datum(variable: 'CKANVariable', ckan_datum) -> 'Datum': denom, percent = None, None if DENOM_DKEY in ckan_datum: denom = ckan_datum[DENOM_DKEY] percent = (ckan_datum[VALUE_DKEY] / ckan_datum[DENOM_DKEY]) return Datum(variable=variable.slug, geog=ckan_datum[GEOG_DKEY], time=ckan_datum[TIME_DKEY], value=ckan_datum[VALUE_DKEY], denom=denom, percent=percent) @staticmethod def from_ckan_response_data(variable: 'CKANVariable', ckan_data: list[dict]) -> List['Datum']: return [Datum.from_ckan_response_datum(variable, ckan_datum) for ckan_datum in ckan_data] def update(self, **kwargs): """ Creates new Datum similar to the instance with new values from kwargs """ return Datum(**{**self.as_dict(), **kwargs}) def with_denom_val(self, denom_val: Optional[float]): """ Merge the denom value and generate the percent """ return dataclasses.replace(self, denom=denom_val, percent=(self.value / denom_val)) def as_dict(self): return {'variable': self.variable, 'geog': self.geog, 'time': self.time, 'value': self.value, 'moe': self.moe, 'percent': self.percent, 'denom': self.denom} def as_value_dict(self): return {'value': self.value, 'moe': self.moe, 'percent': self.percent, 'denom': self.denom}

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0.574074

0

null

0

null

0

1

0

1

9289e747472df431fa07919c97c9bde9926f3780

636

py

Python

1-Algorithmic-Toolbox/week3/assignments/car_fueling.py

Helianus/Data-Structures-and-Algorithms-Coursera

1fe8961cdd77fdeb88490f127e4369680419c428

[ "MIT" ]

null

1-Algorithmic-Toolbox/week3/assignments/car_fueling.py

Helianus/Data-Structures-and-Algorithms-Coursera

1fe8961cdd77fdeb88490f127e4369680419c428

[ "MIT" ]

null

1-Algorithmic-Toolbox/week3/assignments/car_fueling.py

Helianus/Data-Structures-and-Algorithms-Coursera

1fe8961cdd77fdeb88490f127e4369680419c428

[ "MIT" ]

null

# python3 import sys def compute_min_refills(distance, tank, stops): # write your code here if distance <= tank: return 0 else: stops.append(distance) n_stops = len(stops) - 1 count = 0 refill = tank for i in range(n_stops): if refill < stops[i] or (stops[-2] + tank < distance): return -1 if refill < stops[i + 1]: refill = tank + stops[i] count += 1 return count if __name__ == '__main__': d, m, _, *stops = map(int, sys.stdin.read().split()) print(compute_min_refills(d, m, stops))

22.714286

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636

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false

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0.052632

0

null

0

null

0

1

0

1

928bbe7491fdbc0a0f928ea52f2ec3bc8d5bb842

323

py

Python

python/python.py

TimVan1596/ACM-ICPC

07f7d728db1ecd09c5a3d0f05521930b14eb9883

[ "Apache-2.0" ]

1

2019-05-22T07:12:34.000Z

python/python.py

TimVan1596/ACM-ICPC

07f7d728db1ecd09c5a3d0f05521930b14eb9883

[ "Apache-2.0" ]

3

2021-12-10T01:13:54.000Z

2021-12-14T21:18:42.000Z

python/python.py

TimVan1596/ACM-ICPC

07f7d728db1ecd09c5a3d0f05521930b14eb9883

[ "Apache-2.0" ]

null

import xlwt if __name__ == '__main__': workbook = xlwt.Workbook(encoding='utf-8') # 创建workbook 对象 worksheet = workbook.add_sheet('sheet1') # 创建工作表sheet # 往表中写内容,第一各参数行,第二个参数列,第三个参数内容 worksheet.write(0, 0, 'hello world') worksheet.write(0, 1, '你好') workbook.save('first.xls') # 保存表为students.xls

32.3

63

0.674923

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0.133971

0.143541

0

0.022642

0.179567

323

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false

0

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0

0.142857

0

null

0

1

0

null

0

1

928bed2cda12bb44aa28928e0571f9042f5e1006

736

py

Python

kiestze_django/kiestze/migrations/0004_auto_20180719_1438.py

oSoc18/kiest_ze

842eefcf3f6002ea90c2917682f625749398b33e

[ "Apache-2.0" ]

3

2018-07-11T07:59:15.000Z

2018-07-26T19:58:44.000Z

kiestze_django/kiestze/migrations/0004_auto_20180719_1438.py

oSoc18/kiest_ze

842eefcf3f6002ea90c2917682f625749398b33e

[ "Apache-2.0" ]

4

2018-08-11T13:55:50.000Z

2019-12-28T15:41:30.000Z

kiestze_django/kiestze/migrations/0004_auto_20180719_1438.py

oSoc18/kiest_ze

842eefcf3f6002ea90c2917682f625749398b33e

[ "Apache-2.0" ]

null

# Generated by Django 2.0.7 on 2018-07-19 14:38 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('kiestze', '0003_gemeente'), ] operations = [ migrations.RemoveField( model_name='gemeente', name='id', ), migrations.AlterField( model_name='gemeente', name='nis', field=models.IntegerField(primary_key=True, serialize=False), ), migrations.AlterField( model_name='partij', name='nis', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='kiestze.Gemeente'), ), ]

25.37931

104

0.586957

74

736

5.756757

0.581081

0.056338

0.065728

0.103286

0

0.036538

0.293478

736

28

105

26.285714

0.782692

0.061141

0

0.409091

1

0

0.095791

0

1

0

false

0

0.090909

0

0.227273

0

null

0

1

0

null

0

1

92939cd40ec3f894a9ca9fdc8baa64317efc2816

768

py

Python

Deck.py

Harel92/BlackJack-Game

adba557a025d9633a2cdaca4f59bb7aa4c566f6c

[ "MIT" ]

null

Deck.py

Harel92/BlackJack-Game

adba557a025d9633a2cdaca4f59bb7aa4c566f6c

[ "MIT" ]

null

Deck.py

Harel92/BlackJack-Game

adba557a025d9633a2cdaca4f59bb7aa4c566f6c

[ "MIT" ]

null

import random from Card import Card suits = ('Hearts', 'Diamonds', 'Spades', 'Clubs') ranks = ('Two', 'Three', 'Four', 'Five', 'Six', 'Seven', 'Eight', 'Nine', 'Ten', 'Jack', 'Queen', 'King', 'Ace') class Deck: def __init__(self): # Note this only happens once upon creation of a new Deck self.all_cards = [] for suit in suits: for rank in ranks: # This assumes the Card class has already been defined! self.all_cards.append(Card(suit, rank)) def shuffle(self): # Note this doesn't return anything random.shuffle(self.all_cards) def deal(self): # Note we remove one card from the list of all_cards return self.all_cards.pop()

30.72

113

0.578125

101

768

4.306931

0.613861

0.091954

0.110345

0

0.302083

768

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0

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false

0

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0.071429

0.5

0

null

0

null

0

1

0

1

9294963c5c0383860551b27b39a0b277aa9e0e8f

818

py

Python

setup.py

lanius/chord

48e129367080c95116600a80d56b310d06322b21

[ "MIT" ]

null

setup.py

lanius/chord

48e129367080c95116600a80d56b310d06322b21

[ "MIT" ]

null

setup.py

lanius/chord

48e129367080c95116600a80d56b310d06322b21

[ "MIT" ]

null

# -*- coding: utf-8 -*- from setuptools import setup setup( name='chord', version='0.0.1', url='https://github.com/lanius/chord/', packages=['chord'], license='MIT', author='lanius', author_email='lanius@nirvake.org', description='Captures current status of keyboard.', install_requires=['pyHook', 'pywin32'], classifiers=[ 'Development Status :: 3 - Alpha', 'Environment :: Win32 (MS Windows)', 'Intended Audience :: Developers', 'License :: OSI Approved :: MIT License', 'Operating System :: Microsoft :: Windows', 'Programming Language :: Python', 'Programming Language :: Python :: 2', 'Programming Language :: Python :: 2.7', 'Topic :: Software Development :: Libraries :: Python Modules' ], )

29.214286

70

0.5978

80

818

6.0875

0.7375

0.117043

0.154004

0.106776

0

0.019386

0.243276

818

27

71

30.296296

0.767367

0.025672

0

0.576101

0

1

0

true

0

0.043478

0

0.043478

0

null

0

null

0

1

0

1

92950fc24b8bc2b382fb2963eb44444a27e250ed

4,669

py

Python

modules/deepspell/baseline/symspell_gendawg.py

Klebert-Engineering/deep-spell-9

cabfcbf8238085b139e6b4b0e43f459230ead963

[ "MIT" ]

3

2018-12-16T17:20:39.000Z

2019-01-11T19:45:29.000Z

modules/deepspell/baseline/symspell_gendawg.py

Klebert-Engineering/deep-spell-9

cabfcbf8238085b139e6b4b0e43f459230ead963

[ "MIT" ]

2

2021-11-30T16:35:36.000Z

2022-01-20T12:33:10.000Z

modules/deepspell/baseline/symspell_gendawg.py

Klebert-Engineering/deep-spell-9

cabfcbf8238085b139e6b4b0e43f459230ead963

[ "MIT" ]

null

# (C) 2018-present Klebert Engineering """ Opens a TSV FTS corpus file and generates misspelled entries for each FTS token with a given maximum edit distance. Takes two arguments: (1) The corpus file (2) The output file. Two output files will be generated from this argument: -> <output file>.refs : Contains pickled DAWG with misspelled tokens and correct token references -> <output file>.tokens : Contains the correctly spelled tokens, where line-number=reference-index, in the form of <token> <frequency> """ import codecs import sys import string from hat_trie import Trie from dawg import BytesDAWG def generate_lookup_entries(w, max_edit_distance=0): """given a word, derive strings with up to max_edit_distance characters deleted""" result = {w} queue = {w} for d in range(max_edit_distance): temp_queue = set() for word in queue: if len(word) > 1: for c in range(len(word)): # character index word_minus_c = word[:c] + word[c + 1:] if word_minus_c not in result: result.add(word_minus_c) if word_minus_c not in temp_queue: temp_queue.add(word_minus_c) queue = temp_queue return result def print_progress(iteration, total, prefix='', suffix='', decimals=1, bar_length=10): """ Call in a loop to create terminal progress bar @params: iteration - Required : current iteration (Int) total - Required : total iterations (Int) prefix - Optional : prefix string (Str) suffix - Optional : suffix string (Str) decimals - Optional : positive number of decimals in percent complete (Int) bar_length - Optional : character length of bar (Int) """ str_format = "{0:." + str(decimals) + "f}" percents = str_format.format(100 * (iteration / float(total))) filled_length = int(round(bar_length * iteration / float(total))) bar = '#' * filled_length + '-' * (bar_length - filled_length) sys.stdout.write('\r%s |%s| %s%s %s' % (prefix, bar, percents, '%', suffix)), if iteration == total: sys.stdout.write('\n') sys.stdout.flush() input_file_path = sys.argv[1] output_file_path = sys.argv[2] bytes_for_token = Trie() # charset token_and_freq_for_index = [] longest_word_length = 0 bytes_per_index = 3 # Count total lines in corpus file with codecs.open(input_file_path, encoding="utf-8") as corpus_file: total = sum(1 for _ in corpus_file) done = 0 print("Loading completion tokens from '{}'...".format(input_file_path)) with codecs.open(input_file_path, encoding="utf-8") as input_file: index_for_token = Trie() # charset for line in input_file: parts = line.split("\t") done += 1 print_progress(done, total) if len(parts) < 6: continue token = parts[2].lower() # unidecode.unidecode() # check if word is already in dictionary # dictionary entries are in the form: (list of suggested corrections, frequency of word in corpus) if token in index_for_token: token_index = index_for_token[token] else: token_index = len(token_and_freq_for_index) index_for_token[token] = token_index longest_word_length = max(len(token), longest_word_length) token_and_freq_for_index.append([token, 0]) # first appearance of word in corpus # n.b. word may already be in dictionary as a derived word, but # counter of frequency of word in corpus is not incremented in those cases. deletes = generate_lookup_entries(token) word_index_bytes = token_index.to_bytes(bytes_per_index, 'big') for entry in deletes: if entry in bytes_for_token: bytes_for_token[entry] += word_index_bytes else: bytes_for_token[entry] = word_index_bytes # increment count of token in corpus token_and_freq_for_index[token_index][1] += 1 print("\n ...done.") print("Creating DAWG...") dawg_dict = BytesDAWG(([token, bytes_for_token[token]] for token in bytes_for_token.iterkeys())) print(" ...done.") print("Writing output files {}.refs and {}.tokens ...".format(output_file_path, output_file_path)) dawg_dict.save(output_file_path + ".refs") with codecs.open(output_file_path + ".tokens", "w", encoding="utf-8") as output_tokens: for token, freq in token_and_freq_for_index: output_tokens.write("{}\t{}\n".format(token, freq)) print(" ...done.")

39.567797

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9296c38d6179d914971335cddde811e8c8cfc78b

347

py

Python

cfg/launcher/__main__.py

rr-/dotfiles

4a684c43a5714a3312b42b445e5ba9ae1fab0d1a

[ "MIT" ]

16

2015-06-05T12:57:44.000Z

2021-08-05T23:49:42.000Z

cfg/launcher/__main__.py

rr-/dotfiles

4a684c43a5714a3312b42b445e5ba9ae1fab0d1a

[ "MIT" ]

6

2015-11-01T18:18:26.000Z

2020-10-06T09:17:29.000Z

cfg/launcher/__main__.py

rr-/dotfiles

4a684c43a5714a3312b42b445e5ba9ae1fab0d1a

[ "MIT" ]

6

2015-10-31T18:53:12.000Z

2020-11-30T18:03:06.000Z

import os from libdotfiles.util import ( HOME_DIR, PKG_DIR, REPO_ROOT_DIR, create_symlink, run, ) create_symlink( PKG_DIR / "launcher.json", HOME_DIR / ".config" / "launcher.json" ) os.chdir(REPO_ROOT_DIR / "opt" / "launcher") run( ["python3", "-m", "pip", "install", "--user", "--upgrade", "."], check=False, )

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null

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9296fb6b24dc3eedf52b5f0b91836cb7ef50d404

2,456

py

Python

problems/737.Sentence-Similarity-II/li.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

problems/737.Sentence-Similarity-II/li.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

problems/737.Sentence-Similarity-II/li.py

subramp-prep/leetcode

d125201d9021ab9b1eea5e5393c2db4edd84e740

[ "Unlicense" ]

null

# coding=utf-8 # Author: Jianghan LI # Question: 737.Sentence-Similarity-II # Complexity: O(N) # Date: 2018-05 14:50 - 14:56, 1 wrong try class Solution(object): def areSentencesSimilarTwo(self, words1, words2, pairs): """ :type words1: List[str] :type words2: List[str] :type pairs: List[List[str]] :rtype: bool """ parents = {} self.count = 0 def add(x): if x not in parents: parents[x] = x self.count += 1 def find(x): if x not in parents: return x if x != parents[x]: parents[x] = find(parents[x]) return parents[x] def union(x, y): x, y = find(x), find(y) if x != y: parents[x] = y self.count -= 1 return True return False for x, y in pairs: add(x) add(y) union(x, y) if len(words1) != len(words2): return False for x, y in zip(words1, words2): # print find(x), find(y) if find(x) != find(y): return False return True ############ test case ########### s = Solution() words1 = ["great", "acting", "skills"] words2 = ["fine", "drama", "talent"] pairs = [["great", "good"], ["fine", "good"], ["acting", "drama"], ["skills", "talent"]] print s.areSentencesSimilarTwo(words1, words2, pairs) words1 = ["an", "extraordinary", "meal", "meal"] words2 = ["one", "good", "dinner"] pairs = [["great", "good"], ["extraordinary", "good"], ["well", "good"], ["wonderful", "good"], ["excellent", "good"], ["fine", "good"], ["nice", "good"], ["any", "one"], ["some", "one"], ["unique", "one"], ["the", "one"], ["an", "one"], ["single", "one"], ["a", "one"], ["truck", "car"], ["wagon", "car"], ["automobile", "car"], ["auto", "car"], ["vehicle", "car"], [ "entertain", "have"], ["drink", "have"], ["eat", "have"], ["take", "have"], ["fruits", "meal"], ["brunch", "meal"], ["breakfast", "meal"], ["food", "meal"], ["dinner", "meal"], ["super", "meal"], ["lunch", "meal"], ["possess", "own"], ["keep", "own"], ["have", "own"], ["extremely", "very"], ["actually", "very"], ["really", "very"], ["super", "very"]] print s.areSentencesSimilarTwo(words1, words2, pairs) ############ comments ############ # 1 wrong try for case len(words1) != len(words2)

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null

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null

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1

929e35be958ee3633c514ae680ee6e40e159bff6

1,611

py

Python

migrations/versions/f6ee6f9df554_.py

d-demirci/blockpy-server

f596f539d7809054a430a898bee877a0dbcb15b5

[ "MIT" ]

18

2019-10-14T13:56:15.000Z

2022-03-12T23:49:14.000Z

migrations/versions/f6ee6f9df554_.py

acbart/blockpy-server

c504be4dffc624b7161c2c976d2d195f5f08cf9a

[ "MIT" ]

26

2019-08-13T18:17:45.000Z

2021-09-06T12:31:48.000Z

migrations/versions/f6ee6f9df554_.py

DigitalDerrickcs/blockpy-server

4d3da5830ec802ec9d018e2fde91f33e2be38f10

[ "MIT" ]

9

2019-08-27T10:52:31.000Z

2021-07-27T16:10:17.000Z

"""Add Review Table Revision ID: f6ee6f9df554 Revises: Create Date: 2019-08-07 13:09:49.691184 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'f6ee6f9df554' down_revision = None branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.create_table('review', sa.Column('id', sa.Integer(), nullable=False), sa.Column('date_created', sa.DateTime(), nullable=True), sa.Column('date_modified', sa.DateTime(), nullable=True), sa.Column('comment', sa.Text(), nullable=True), sa.Column('tag_id', sa.Integer(), nullable=True), sa.Column('score', sa.Integer(), nullable=True), sa.Column('submission_id', sa.Integer(), nullable=True), sa.Column('author_id', sa.Integer(), nullable=True), sa.Column('assignment_version', sa.Integer(), nullable=True), sa.Column('submission_version', sa.Integer(), nullable=True), sa.Column('version', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(('author_id',), ['user.id'], ), sa.ForeignKeyConstraint(('submission_id',), ['submission.id'], ), sa.ForeignKeyConstraint(('tag_id',), ['assignment_tag.id'], ), sa.PrimaryKeyConstraint('id') ) op.create_foreign_key(None, 'submission', 'assignment_group', ['assignment_group_id'], ['id']) # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.drop_constraint(None, 'submission', type_='foreignkey') op.drop_table('review') # ### end Alembic commands ###

34.276596

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0.142857

0

null

0

1

0

null

0

1

92adae391b5af1e46c2cbd108fadd2ff78e87772

384

py

Python

app/app/services/forms.py

dtcooper/crazyarms

71ea0e58958233daaceb8750043f74ef1a141079

[ "MIT" ]

15

2021-01-18T17:16:51.000Z

2022-03-28T22:16:19.000Z

app/app/services/forms.py

dtcooper/carb

71ea0e58958233daaceb8750043f74ef1a141079

[ "MIT" ]

4

2021-03-14T16:28:40.000Z

2021-03-31T16:48:49.000Z

app/app/services/forms.py

dtcooper/carb

71ea0e58958233daaceb8750043f74ef1a141079

[ "MIT" ]

3

2021-07-15T02:24:19.000Z

2022-03-18T11:50:05.000Z

from django import forms from .services import HarborService class HarborCustomConfigForm(forms.Form): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) for section_number in range(1, HarborService.CUSTOM_CONFIG_NUM_SECTIONS + 1): self.fields[f"section{section_number}"] = forms.CharField(widget=forms.Textarea, required=False)

34.909091

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384

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0

0.006211

0.161458

384

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0

1

0.142857

false

0

0.285714

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0.571429

0

null

0

null

0

1

0

1

92adb85a4eb3efaf7dd6076d356a071ec17c7036

26,816

py

Python

deepmars/models/train_model_sys.py

utplanets/deepmars

ba306aa9b25b654636b61cf952af2791b7ed0e56

[ "MIT" ]

2

2021-08-08T03:06:58.000Z

2021-11-25T04:06:00.000Z

deepmars/models/train_model_sys.py

utplanets/deepmars

ba306aa9b25b654636b61cf952af2791b7ed0e56

[ "MIT" ]

null

deepmars/models/train_model_sys.py

utplanets/deepmars

ba306aa9b25b654636b61cf952af2791b7ed0e56

[ "MIT" ]

2

2020-11-23T09:38:26.000Z

2021-02-26T01:14:28.000Z

#!/usr/bin/env python """Convolutional Neural Network Training Functions Functions for building and training a (UNET) Convolutional Neural Network on images of the Mars and binary ring targets. """ from __future__ import absolute_import, division, print_function import numpy as np import pandas as pd import h5py from keras.models import Model from keras.layers.core import Dropout, Reshape from keras.regularizers import l2 from keras.optimizers import Adam from keras.callbacks import EarlyStopping from keras import backend as K import deepmars.features.template_match_target as tmt import deepmars.utils.processing as proc import click import logging from pathlib import Path from dotenv import find_dotenv, load_dotenv import os from joblib import Parallel, delayed from tqdm import tqdm, trange # Check Keras version - code will switch API if needed. from keras import __version__ as keras_version K.set_image_dim_ordering('tf') k2 = True if keras_version[0] == '2' else False # If Keras is v2.x.x, create Keras 1-syntax wrappers. if not k2: from keras.models import load_model from keras.layers import merge, Input from keras.layers.convolutional import (Convolution2D, MaxPooling2D, UpSampling2D) else: from keras.models import load_model from keras.layers import Concatenate, Input from keras.layers.convolutional import (Conv2D, MaxPooling2D, UpSampling2D) def merge(layers, mode=None, concat_axis=None): """Wrapper for Keras 2's Concatenate class (`mode` is discarded).""" return Concatenate(axis=concat_axis)(list(layers)) def Convolution2D(n_filters, FL, FLredundant, activation=None, init=None, W_regularizer=None, border_mode=None): """Wrapper for Keras 2's Conv2D class.""" return Conv2D(n_filters, FL, activation=activation, kernel_initializer=init, kernel_regularizer=W_regularizer, padding=border_mode) minrad_ = 5 maxrad_ = 40 longlat_thresh2_ = 1.8 rad_thresh_ = 1.0 template_thresh_ = 0.5 target_thresh_ = 0.1 @click.group() def dl(): log_fmt = '%(asctime)s - %(name)s - %(levelname)s - %(message)s' logging.basicConfig(level=logging.INFO, format=log_fmt) # not used in this stub but often useful for finding various files project_dir = Path(__file__).resolve().parents[2] # find .env automagically by walking up directories until it's found, then # load up the .env entries as environment variables load_dotenv(find_dotenv()) import sys sys.path.append(os.getenv("DM_ROOTDIR")) pass ######################## def get_param_i(param, i): """Gets correct parameter for iteration i. Parameters ---------- param : list List of model hyperparameters to be iterated over. i : integer Hyperparameter iteration. Returns ------- Correct hyperparameter for iteration i. """ if len(param) > i: return param[i] else: return param[0] ######################## def custom_image_generator(data, target, batch_size=32): """Custom image generator that manipulates image/target pairs to prevent overfitting in the Convolutional Neural Network. Parameters ---------- data : array Input images. target : array Target images. batch_size : int, optional Batch size for image manipulation. Yields ------ Manipulated images and targets. """ D, L, W = data.shape[0], data[0].shape[0], data[0].shape[1] while True: shuffle_index = np.arange(D) # only shuffle once each loop through the data np.random.shuffle(shuffle_index) for i in np.arange(0, len(data), batch_size): index = shuffle_index[i:i + batch_size] d, t = data[index].copy(), target[index].copy() # Random color inversion # for j in np.where(np.random.randint(0, 2, batch_size) == 1)[0]: # d[j][d[j] > 0.] = 1. - d[j][d[j] > 0.] # Horizontal/vertical flips for j in np.where(np.random.randint(0, 2, batch_size) == 1)[0]: d[j], t[j] = np.fliplr(d[j]), np.fliplr(t[j]) # left/right for j in np.where(np.random.randint(0, 2, batch_size) == 1)[0]: d[j], t[j] = np.flipud(d[j]), np.flipud(t[j]) # up/down # Random up/down & left/right pixel shifts, 90 degree rotations npix = 15 # Horizontal shift h = np.random.randint(-npix, npix + 1, batch_size) # Vertical shift v = np.random.randint(-npix, npix + 1, batch_size) # 90 degree rotations r = np.random.randint(0, 4, batch_size) for j in range(batch_size): d[j] = np.pad(d[j], ((npix, npix), (npix, npix), (0, 0)), mode='constant')[npix + h[j]:L + h[j] + npix, npix + v[j]:W + v[j] + npix, :] sh, sv = slice(npix + h[j], L + h[j] + npix),\ slice(npix + v[j], W + v[j] + npix) t[j] = np.pad(t[j], (npix,), mode='constant')[sh, sv] d[j], t[j] = np.rot90(d[j], r[j]), np.rot90(t[j], r[j]) yield (d, t) def t2c(pred, csv, i, minrad=minrad_, maxrad=maxrad_, longlat_thresh2=longlat_thresh2_, rad_thresh=rad_thresh_, template_thresh=template_thresh_, target_thresh=target_thresh_): return np.hstack([i, tmt.template_match_t2c(pred, csv, minrad=minrad, maxrad=maxrad longlat_thresh2=longlat_thresh2, rad_thresh=rad_thresh, template_thresh=template_thresh, target_thresh=target_thresh)]) def diagnostic(res, beta): """Calculate the metrics from the predictions compared to the CSV. Parameters ------------ res: list of results containing: image number, number of matched, number of existing craters, number of detected craters, maximum radius detected, mean error in longitude, mean error in latitude, mean error in radius, fraction of duplicates in detections. beta : int Beta value when calculating F-beta score. Returns ------- dictionary : metrics stored in a dictionary """ counter, N_match, N_csv, N_detect,\ mrad, err_lo, err_la, err_r, frac_duplicates = np.array(res).T w = np.where(N_match == 0) w = np.where(N_match > 0) counter, N_match, N_csv, N_detect,\ mrad, err_lo, err_la, errr_, frac_dupes =\ counter[w], N_match[w], N_csv[w], N_detect[w],\ mrad[w], err_lo[w], err_la[w], err_r[w], frac_duplicates[w] precision = N_match / (N_match + (N_detect - N_match)) recall = N_match / N_csv fscore = (1 + beta**2) * (recall * precision) / \ (precision * beta**2 + recall) diff = N_detect - N_match frac_new = diff / (N_detect + diff) frac_new2 = diff / (N_csv + diff) frac_duplicates = frac_dupes return dict(precision=precision, recall=recall, fscore=fscore, frac_new=frac_new, frac_new2=frac_new2, err_lo=err_lo, err_la=err_la, err_r=err_r, frac_duplicates=frac_duplicates, maxrad=mrad, counter=counter, N_match=N_match, N_csv=N_csv) def get_metrics(data, craters_images, dim, model, name, beta=1, offset=0, minrad=minrad_, maxrad=maxrad_, longlat_thresh2=longlat_thresh2_, rad_thresh=rad_thresh_, template_thresh=template_thresh_, target_thresh=target_thresh_, rmv_oor_csvs=0): """Function that prints pertinent metrics at the end of each epoch. Parameters ---------- data : hdf5 Input images. craters : hdf5 Pandas arrays of human-counted crater data. dim : int Dimension of input images (assumes square). model : keras model object Keras model beta : int, optional Beta value when calculating F-beta score. Defaults to 1. """ X, Y = data[0], data[1] craters, images = craters_images # Get csvs of human-counted craters csvs = [] # minrad, maxrad = 3, 50 cutrad, n_csvs = 0.8, len(X) diam = 'Diameter (pix)' for i in range(len(X)): imname = images[i] # name = "img_{0:05d}".format(i) found = False for crat in craters: if imname in crat: csv = crat[imname] found = True if not found: csvs.append([-2]) continue # remove small/large/half craters csv = csv[(csv[diam] < 2 * maxrad) & (csv[diam] > 2 * minrad)] csv = csv[(csv['x'] + cutrad * csv[diam] / 2 <= dim)] csv = csv[(csv['y'] + cutrad * csv[diam] / 2 <= dim)] csv = csv[(csv['x'] - cutrad * csv[diam] / 2 > 0)] csv = csv[(csv['y'] - cutrad * csv[diam] / 2 > 0)] if len(csv) < 3: # Exclude csvs with few craters csvs.append([-1]) else: csv_coords = np.asarray((csv['x'], csv['y'], csv[diam] / 2)).T csvs.append(csv_coords) # Calculate custom metrics print("csvs: {}".format(len(csvs))) print("") print("*********Custom Loss*********") recall, precision, fscore = [], [], [] frac_new, frac_new2, mrad = [], [], [] err_lo, err_la, err_r = [], [], [] frac_duplicates = [] if isinstance(model, Model): preds = None # print(X[6].min(),X[6].max(),X.dtype,np.percentile(X[6],99)) preds = model.predict(X, verbose=1) # save h5f = h5py.File("predictions.hdf5", 'w') h5f.create_dataset(name, data=preds) print("Successfully generated and saved model predictions.") else: preds = model # print(csvs) countme = [i for i in range(n_csvs) if len(csvs[i]) >= 3] print("Processing {} fields".format(len(countme))) # preds contains a large number of predictions, # so we run the template code in parallel. res = Parallel(n_jobs=24, verbose=5)(delayed(t2c)(preds[i], csvs[i], i, minrad=minrad, maxrad=maxrad, longlat_thresh2=longlat_thresh2, rad_thresh=rad_thresh, template_thresh=template_thresh, target_thresh=target_thresh) for i in range(n_csvs) if len(csvs[i]) >= 3) if len(res) == 0: print("No valid results: ", res) return None # At this point we've processed the predictions with the template matching # algorithm, now calculate the metrics from the data. diag = diagnostic(res, beta) print(len(diag["recall"])) # print("binary XE score = %f" % model.evaluate(X, Y)) if len(diag["recall"]) > 3: metric_data = [("N_match/N_csv (recall)", diag["recall"]), ("N_match/(N_match + (N_detect-N_match)) (precision)", diag["precision"]), ("F_{} score".format(beta), diag["fscore"]), ("(N_detect - N_match)/N_detect" + "(fraction of craters that are new)", diag["frac_new"]), ("(N_detect - N_match)/N_csv (fraction" + "of craters that are new, 2)", diag["frac_new2"])] for fname, data in metric_data: print("mean and std of %s = %f, %f" % (fname, np.mean(data), np.std(data))) for fname, data in [("fractional longitude diff", diag["err_lo"]), ("fractional latitude diff", diag["err_la"]), ("fractional radius diff", diag["err_r"]), ]: print("median and IQR %s = %f, 25:%f, 75:%f" % (fname, np.median(data), np.percentile(data, 25), np.percentile(data, 75))) print("""mean and std of maximum detected pixel radius in an image = %f, %f""" % (np.mean(diag["maxrad"]), np.std(diag["maxrad"]))) print("""absolute maximum detected pixel radius over all images = %f""" % np.max(diag["maxrad"])) print("") return diag ######################## def build_model(dim, learn_rate, lmbda, drop, FL, init, n_filters): """Function that builds the (UNET) convolutional neural network. Parameters ---------- dim : int Dimension of input images (assumes square). learn_rate : float Learning rate. lmbda : float Convolution2D regularization parameter. drop : float Dropout fraction. FL : int Filter length. init : string Weight initialization type. n_filters : int Number of filters in each layer. Returns ------- model : keras model object Constructed Keras model. """ print('Making UNET model...') img_input = Input(batch_shape=(None, dim, dim, 1)) a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(img_input) a1 = Convolution2D(n_filters, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(a1) a1P = MaxPooling2D((2, 2), strides=(2, 2))(a1) a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(a1P) a2 = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(a2) a2P = MaxPooling2D((2, 2), strides=(2, 2))(a2) a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(a2P) a3 = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(a3) a3P = MaxPooling2D((2, 2), strides=(2, 2),)(a3) u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(a3P) u = Convolution2D(n_filters * 4, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = UpSampling2D((2, 2))(u) u = merge((a3, u), mode='concat', concat_axis=3) u = Dropout(drop)(u) u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = Convolution2D(n_filters * 2, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = UpSampling2D((2, 2))(u) u = merge((a2, u), mode='concat', concat_axis=3) u = Dropout(drop)(u) u = Convolution2D(n_filters, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = Convolution2D(n_filters, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = UpSampling2D((2, 2))(u) u = merge((a1, u), mode='concat', concat_axis=3) u = Dropout(drop)(u) u = Convolution2D(n_filters, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = Convolution2D(n_filters, FL, FL, activation='relu', init=init, W_regularizer=l2(lmbda), border_mode='same')(u) # Final output final_activation = 'sigmoid' u = Convolution2D(1, 1, 1, activation=final_activation, init=init, W_regularizer=l2(lmbda), border_mode='same')(u) u = Reshape((dim, dim))(u) if k2: model = Model(inputs=img_input, outputs=u) else: model = Model(input=img_input, output=u) optimizer = Adam(lr=learn_rate) model.compile(loss='binary_crossentropy', optimizer=optimizer) print(model.summary()) return model ######################## def test_model(Data, Craters, MP, i_MP): # Static params dim, nb_epoch, bs = MP['dim'], MP['epochs'], MP['bs'] # Iterating params FL = get_param_i(MP['filter_length'], i_MP) learn_rate = get_param_i(MP['lr'], i_MP) n_filters = get_param_i(MP['n_filters'], i_MP) init = get_param_i(MP['init'], i_MP) lmbda = get_param_i(MP['lambda'], i_MP) drop = get_param_i(MP['dropout'], i_MP) model = load_model(MP["model"]) get_metrics(Data[MP["test_dataset"]], Craters[MP["test_dataset"]], dim, model, MP["test_dataset"]) def train_and_test_model(Data, Craters, MP, i_MP): """Function that trains, tests and saves the model, printing out metrics after each model. Parameters ---------- Data : dict Inputs and Target Moon data. Craters : dict Human-counted crater data. MP : dict Contains all relevant parameters. i_MP : int Iteration number (when iterating over hypers). """ # Static params dim, nb_epoch, bs = MP['dim'], MP['epochs'], MP['bs'] # Iterating params FL = get_param_i(MP['filter_length'], i_MP) learn_rate = get_param_i(MP['lr'], i_MP) n_filters = get_param_i(MP['n_filters'], i_MP) init = get_param_i(MP['init'], i_MP) lmbda = get_param_i(MP['lambda'], i_MP) drop = get_param_i(MP['dropout'], i_MP) # Build model if MP["model"] is not None: model = load_model(MP["model"]) else: model = build_model(dim, learn_rate, lmbda, drop, FL, init, n_filters) # Main loop n_samples = MP['n_train'] for nb in range(nb_epoch): if k2: model.fit_generator( custom_image_generator(Data['train'][0], Data['train'][1], batch_size=bs), steps_per_epoch=n_samples / bs, epochs=1, verbose=1, # validation_data=(Data['dev'][0],Data['dev'][1]), #no gen validation_data=custom_image_generator(Data['dev'][0], Data['dev'][1], batch_size=bs), validation_steps=MP['n_dev'] / bs, callbacks=[ EarlyStopping(monitor='val_loss', patience=3, verbose=0)]) else: model.fit_generator( custom_image_generator(Data['train'][0], Data['train'][1], batch_size=bs), samples_per_epoch=n_samples, nb_epoch=1, verbose=1, # validation_data=(Data['dev'][0],Data['dev'][1]), #no gen validation_data=custom_image_generator(Data['dev'][0], Data['dev'][1], batch_size=bs), nb_val_samples=n_samples, callbacks=[ EarlyStopping(monitor='val_loss', patience=3, verbose=0)]) suffix = "{}_{}_{}_{}_{}_{}_{}.hdf5".format(learn_rate, n_filters, init, lmbda, drop, nb, nb_epoch) model_save_name = os.path.join(MP["save_dir"], "model_".format(suffix)) if MP['save_models']: model.save(model_save_name) if MP["calculate_custom_loss"]: get_metrics(Data['dev'], Craters['dev'], dim, model, "dev") if MP["save_models"] == 1: model.save(os.path.join(MP["save_dir"], MP["final_save_name"])) print("###################################") print("##########END_OF_RUN_INFO##########") print("""learning_rate=%e, batch_size=%d, filter_length=%e, n_epoch=%d n_train=%d, img_dimensions=%d, init=%s, n_filters=%d, lambda=%e dropout=%f""" % (learn_rate, bs, FL, nb_epoch, MP['n_train'], MP['dim'], init, n_filters, lmbda, drop)) if MP["calculate_custom_loss"]: get_metrics(Data['test'], Craters['test'], dim, model, "test") print("###################################") print("###################################") ######################## def get_models(MP): """Top-level function that loads data files and calls train_and_test_model. Parameters ---------- MP : dict Model Parameters. """ dir = MP['dir'] n_train, n_dev, n_test = MP['n_train'], MP['n_dev'], MP['n_test'] # Load data def load_files(numbers, test, this_dataset): res0 = [] res1 = [] files = [] craters = [] images = [] npic = 0 if not test or (test and this_dataset): for n in tqdm(numbers): files.append(h5py.File(os.path.join( dir, "sys_images_{0:05d}.hdf5".format(n)), 'r')) images.extend(["img_{0:05d}".format(a) for a in np.arange(n, n + 1000)]) res0.append(files[-1]["input_images"][:].astype('float32')) npic = npic + len(res0[-1]) res1.append(files[-1]["target_masks"][:].astype('float32')) files[-1].close() craters.append(pd.HDFStore(os.path.join( dir, "sys_craters_{0:05d}.hdf5".format(n)), 'r')) res0 = np.vstack(res0) res1 = np.vstack(res1) return files, res0, res1, npic, craters, images train_files,\ train0,\ train1,\ Ntrain,\ train_craters,\ train_images = load_files(MP["train_indices"], MP["test"], MP["test_dataset"] == "train") print(Ntrain, n_train) dev_files,\ dev0,\ dev1,\ Ndev,\ dev_craters,\ dev_images = load_files(MP["dev_indices"], MP["test"], MP["test_dataset"] == "dev") print(Ndev, n_dev) test_files,\ test0,\ test1,\ Ntest,\ test_craters,\ test_images = load_files(MP["test_indices"], MP["test"], MP["test_dataset"] == "test") print(Ntest, n_test) Data = { "train": [train0, train1], "dev": [dev0, dev1], "test": [test0[:n_test], test1[:n_test]] } # Rescale, normalize, add extra dim proc.preprocess(Data) # Load ground-truth craters Craters = { 'train': [train_craters, train_images], 'dev': [dev_craters, dev_images], 'test': [test_craters, test_images] } # Iterate over parameters if MP["test"]: test_model(Data, Craters, MP, 0) return else: for i in range(MP['N_runs']): train_and_test_model(Data, Craters, MP, i) @dl.command() @click.option("--test", is_flag=True, default=False) @click.option("--test_dataset", default="dev") @click.option("--model", default=None) def train_model(test, test_dataset, model): """Run Convolutional Neural Network Training Execute the training of a (UNET) Convolutional Neural Network on images of the Moon and binary ring targets. """ # Model Parameters MP = {} # Directory of train/dev/test image and crater hdf5 files. MP['dir'] = os.path.join(os.getenv("DM_ROOTDIR"), 'data/processed/') # Image width/height, assuming square images. MP['dim'] = 256 # Batch size: smaller values = less memory, less accurate gradient estimate MP['bs'] = 10 # Number of training epochs. MP['epochs'] = 30 # Number of train/valid/test samples, needs to be a multiple of batch size. # sample every even numbered image file to use in the training, # half of the odd number for testing. # half of the odd numbers for validataion. MP['train_indices'] = list(np.arange(162000, 208000, 2000)) MP['dev_indices'] = list(np.arange(161000, 206000, 4000)) MP['test_indices'] = list(np.arange(163000, 206000, 4000)) # MP['test_indices'] = 90000#list(np.arange(10000,184000,8000)) MP['n_train'] = len(MP["train_indices"]) * 1000 MP['n_dev'] = len(MP["dev_indices"]) * 1000 MP['n_test'] = len(MP["test_indices"]) * 1000 print(MP["n_train"], MP["n_dev"], MP["n_test"]) # Save model (binary flag) and directory. MP['save_models'] = 1 MP["calculate_custom_loss"] = False MP['save_dir'] = 'models' MP['final_save_name'] = 'model.h5' # initial model MP["model"] = model # testing only MP["test"] = test MP["test_dataset"] = test_dataset # Model Parameters (to potentially iterate over, keep in lists). # runs.csv looks like # filter_length,lr,n_filters,init,lambda,dropout # 3,0.0001,112,he_normal,1e-6,0.15 # # each line is a new run. df = pd.read_csv("runs.csv") for na, ty in [("filter_length", int), ("lr", float), ("n_filters", int), ("init", str), ("lambda", float), ("dropout", float)]: MP[na] = df[na].astype(ty).values MP['N_runs'] = len(MP['lambda']) # Number of runs MP['filter_length'] = [3] # Filter length # MP['lr'] = [0.0001] # Learning rate # MP['n_filters'] = [112] # Number of filters # MP['init'] = ['he_normal'] # Weight initialization # MP['lambda'] = [1e-6] # Weight regularization # MP['dropout'] = [0.15] # Dropout fraction # Iterating over parameters example. # MP['N_runs'] = 2 # MP['lambda']=[1e-4,1e-4] print(MP) get_models(MP) if __name__ == '__main__': dl()

36.237838

79

0.545085

3,310

26,816

4.263444

0.171601

0.01644

0.022321

0.021259

0.335176

0.310091

0.280258

0.269841

0.238946

0.218679

0

0.023665

0.316117

26,816

739

80

36.286874

0.745842

0.097479

0

0.217295

0

0.10883

0.01319

0

null

0.002217

0.059867

null

0.055432

0

null

0

null

0

1

0

1

92b84f5fd97fe6052eddaf4fb13a8cbc0248d07a

270

py

Python

sample/rubrik_polaris/get_storage_object_ids_ebs.py

talmo77/rubrik-polaris-sdk-for-python

505ce03b7995e7b86206c728be594d56d4431050

[ "MIT" ]

2

2021-07-14T12:54:53.000Z

2022-03-03T21:55:28.000Z

sample/rubrik_polaris/get_storage_object_ids_ebs.py

talmo77/rubrik-polaris-sdk-for-python

505ce03b7995e7b86206c728be594d56d4431050

[ "MIT" ]

8

2021-03-09T13:02:15.000Z

2022-02-24T08:46:50.000Z

sample/rubrik_polaris/get_storage_object_ids_ebs.py

talmo77/rubrik-polaris-sdk-for-python

505ce03b7995e7b86206c728be594d56d4431050

[ "MIT" ]

4

2021-04-16T15:49:36.000Z

2021-11-09T17:58:21.000Z

from rubrik_polaris import PolarisClient domain = 'my-company' username = 'john.doe@example.com' password = 's3cr3tP_a55w0R)' client = PolarisClient(domain, username, password, insecure=True) print(client.get_storage_object_ids_ebs(tags = {"Class": "Management"}))

22.5

72

0.77037

33

270

6.121212

0.848485

0.188119

0

0.020661

0.103704

270

11

73

24.545455

0.81405

0

0.222222

0

1

0

false

0.333333

0.166667

0

0.166667

0

null

0

null

0

1

0

1

92b86ef8042175ced0f5be6c5fb6656b4c301369

452

py

Python

lizardanalysis.py

JojoReikun/ClimbingLizardDLCAnalysis

6cc38090217a3ffd4860ef6d06ba7967d3c10b7c

[ "MIT" ]

1

2021-03-09T19:12:44.000Z

lizardanalysis.py

JojoReikun/ClimbingLizardDLCAnalysis

6cc38090217a3ffd4860ef6d06ba7967d3c10b7c

[ "MIT" ]

null

lizardanalysis.py

JojoReikun/ClimbingLizardDLCAnalysis

6cc38090217a3ffd4860ef6d06ba7967d3c10b7c

[ "MIT" ]

null

""" LizardDLCAnalysis Toolbox © Johanna T. Schultz © Fabian Plum Licensed under MIT License ---------------------------------------------------------- for testing and debugging in pycharm: ---> Tools ---> Python Console ---> (with ipython installed): IN[1]: import lizardanalysis ---> run commands: IN[2]: lizardanalysis.command(*args, **kwargs) """ from lizardanalysis import cli def main(): cli.main() if __name__ == '__main__': main()

17.384615

58

0.60177

49

452

5.428571

0.795918

0

0.005181

0.146018

452

25

59

18.08

0.678756

0.756637

0

0.078431

0

1

0.2

true

0

0.2

0

0.4

0

null

0

null

0

1

0

1

92b908d1f507caf2b00b09a9d6cc2b497334bead

3,535

py

Python

logic/auth.py

enisimsar/watchtower-news

222d2e52e76ef32ebb78eb325f4c32b64c0ba1a6

[ "MIT" ]

2

2019-02-21T18:29:09.000Z

2021-01-27T14:52:46.000Z

logic/auth.py

enisimsar/watchtower-news

222d2e52e76ef32ebb78eb325f4c32b64c0ba1a6

[ "MIT" ]

3

2018-11-22T08:34:04.000Z

2021-06-01T22:47:19.000Z

logic/auth.py

enisimsar/watchtower-news

222d2e52e76ef32ebb78eb325f4c32b64c0ba1a6

[ "MIT" ]

1

2019-06-13T10:45:46.000Z

import hashlib import logging import random import string import uuid from mongoengine import DoesNotExist, NotUniqueError from models.Invitation import Invitation from models.User import User __author__ = 'Enis Simsar' # from http://www.pythoncentral.io/hashing-strings-with-python/ def hash_password(password): # uuid is used to generate a random number salt = uuid.uuid4().hex return hashlib.sha256(salt.encode() + password.encode()).hexdigest() + ':' + salt # from http://www.pythoncentral.io/hashing-strings-with-python/ def check_password(hashed_password, user_password): password, salt = hashed_password.split(':') return password == hashlib.sha256(salt.encode() + user_password.encode()).hexdigest() def register_user(invitation_code, username, password): logging.info("username: {0}".format(username)) password = hash_password(password) try: invitation = Invitation.objects.get(code=invitation_code, is_active=True) except DoesNotExist: return {'response': False, 'error': 'Invitation Code is invalid.'} except Exception as e: logging.error("exception: {0}".format(str(e))) return {'error': str(e)} try: user = User(username=username, password=password) user.save() except NotUniqueError: return {'response': False, 'error': 'Username is already registered!'} except Exception as e: logging.error("exception: {0}".format(str(e))) return {'error': str(e)} invitation.is_active = False invitation.save() return {'response': True, 'api_token': user.api_token} def login_user(username, password): logging.info("username: {0}".format(username)) try: user = User.objects.get(username=username) if not check_password(user.password, str(password)): raise DoesNotExist except DoesNotExist: return {'response': False, 'error': 'Credentials are not correct!'} except Exception as e: logging.error("exception: {0}".format(str(e))) return {'error': str(e)} return {'response': True, 'api_token': user.api_token} def get_user_profile(user_id): logging.info("user_id: {0}".format(user_id)) try: user = User.objects.get(id=user_id) except DoesNotExist: return {'response': False} except Exception as e: logging.error("exception: {0}".format(str(e))) return {'error': str(e)} if user: logging.info(user.to_dict()) return user.to_dict() return {'response': False} def refresh_api_token(user_id): logging.info("user_id: {0}".format(user_id)) try: user = User.objects.get(id=user_id) except DoesNotExist: return {'response': False} except Exception as e: logging.error("exception: {0}".format(str(e))) return {'error': str(e)} if user: new_token = ''.join([random.choice(string.ascii_letters + string.digits) for _ in range(40)]) user.api_token = new_token user.save() return {'api_token': new_token, 'response': True} return {'response': False} def get_user_with_api_token(api_token): try: user = User.objects.get(api_token=api_token) except DoesNotExist: return {'response': False} except Exception as e: logging.error("exception: {0}".format(str(e))) return {'error': str(e)} if user: return { 'response': True, 'id': user.id } return {'response': False}

28.97541

101

0.647808

434

3,535

5.16129

0.205069

0.075

0.076339

0.048214

0.474554

0.455804

0.418304

0.373661

0.337054

0

0.006869

0.217539

3,535

121

102

29.214876

0.802965

0.046393

0

0.533333

0

0.122067

0

1

0.077778

false

0.111111

0.088889

0

0.411111

0

null

0

null

0

1

0

1

2b7ba4ab1cf3dd66d4fbb9e770b9f307a58c473f

8,055

py

Python

UCP/discussion/functions.py

BuildmLearn/University-Campus-Portal-UCP

3cac50bd58f2ef4365522a76a8378d0a6f599832

[ "BSD-3-Clause" ]

13

2016-04-24T10:44:28.000Z

2020-09-07T01:23:18.000Z

UCP/discussion/functions.py

BuildmLearn/University-Campus-Portal-UCP

3cac50bd58f2ef4365522a76a8378d0a6f599832

[ "BSD-3-Clause" ]

16

2016-09-05T10:35:41.000Z

2018-08-25T10:27:13.000Z

UCP/discussion/functions.py

BuildmLearn/University-Campus-Portal-UCP

3cac50bd58f2ef4365522a76a8378d0a6f599832

[ "BSD-3-Clause" ]

24

2016-06-25T08:20:12.000Z

2018-01-11T20:46:24.000Z

""" Functions file for discussion app consists of common functions used by both api.py and views.py file """ from django.contrib.auth.models import User from django.contrib.auth import authenticate, login from django.core.mail import send_mail from django.shortcuts import render from django.template import Context from django.utils import timezone from django.views.generic import View from rest_framework import status from rest_framework.authtoken.models import Token from rest_framework.decorators import api_view from rest_framework.permissions import AllowAny from rest_framework.response import Response from rest_framework.views import APIView from login.models import UserProfile import login.serializers as Serializers from discussion.models import DiscussionThread, Reply, Attachment, Tag from discussion.serializers import DiscussionThreadSerializer,DiscussionThreadFullSerializer, ReplySerializer, ReplyFullSerializer, TagSerializer from UCP.constants import result, message from UCP.settings import EMAIL_HOST_USER, BASE_URL, PAGE_SIZE from UCP.functions import send_parallel_mail def get_all_tags(): """ returns a list of all availible tags """ tags = Tag.objects.all() serializer = TagSerializer(tags, many=True) return serializer.data def get_top_discussions(tags): """ returns top 5 recent discussions from tags followed by the user """ return DiscussionThread.objects.filter(tags__in = tags)[:5] def add_discussion_thread(request): """ """ response = {} serializer = DiscussionThreadSerializer(data = request.POST) if serializer.is_valid(): user_profile = UserProfile.objects.get(user = request.user) discussion = serializer.save( posted_by = user_profile, posted_at = timezone.now() ) tags = request.POST["tag"].split(',') for tag_name in tags: if Tag.objects.filter(name = tag_name).exists(): tag = Tag.objects.get(name = tag_name) else: tag = Tag(name=tag_name) tag.save() discussion.tags.add(tag) response["result"] = result.RESULT_SUCCESS response["error"] = [] response["message"] = "Discussion Thread added successfully" else: response["result"] = result.RESULT_FAILURE response["error"] = serializer.errors return response def get_discussion_list(request): """ Return a list of discussion threads filtered by page number and tag """ response = {} threads = DiscussionThread.objects.all() if "tag" in request.GET: #return a filtererd list threads = DiscussionThread.objects.filter(tags__name = request.GET["tag"]) #code for pagination count = len(threads) page_count = count/PAGE_SIZE + 1 if("page" in request.GET): page_no = int(request.GET["page"]) - 1 else: page_no = 0 offset = page_no * PAGE_SIZE threads = threads[offset:offset+PAGE_SIZE] serializer = DiscussionThreadFullSerializer(threads, many=True) response["page_count"] = page_count response["data"] = serializer.data return response def subscribe(request, pk): """ subscribe request.user to a discussion thread with id pk """ response = {} if DiscussionThread.objects.filter(id = pk).exists(): discussion = DiscussionThread.objects.get(id = pk) user_profile = UserProfile.objects.get(user = request.user) discussion.subscribed.add(user_profile) discussion.save() response["result"] = result.RESULT_SUCCESS return response else: response["result"] = result.RESULT_FAILURE response["error"] = "This discussion id does not exist" def unsubscribe(request, pk): """ unsubscribe request.user to a discussion thread with id pk """ response = {} if DiscussionThread.objects.filter(id = pk).exists(): discussion = DiscussionThread.objects.get(id = pk) user_profile = UserProfile.objects.get(user = request.user) discussion.subscribed.remove(user_profile) discussion.save() response["result"] = result.RESULT_SUCCESS return response else: response["result"] = result.RESULT_FAILURE response["error"] = "This discussion id does not exist" def get_tags(query): """ returns a list of tags whose name match the query """ tags = Tag.objects.filter(name__icontains=query) data = [] for tag in tags: item = {} item["id"] = tag.id item["value"] = tag.name item["label"] = tag.name data.append(item) return data def get_replies(pk, request): """ returns all replies of a discussion pk based on the page number """ response = {} if DiscussionThread.objects.filter(id = pk).exists(): discussion = DiscussionThread.objects.get(id = pk) replies = Reply.objects.filter(thread = discussion) #pagination page_count = len(replies)/PAGE_SIZE + 1 if("page" in request.GET): page_no = int(request.GET["page"]) - 1 else: page_no = 0 offset = page_no * PAGE_SIZE replies = replies[offset:offset+PAGE_SIZE] reply_serializer = ReplyFullSerializer(replies, many=True) discussion_serializer = DiscussionThreadFullSerializer(discussion) response["page_count"] = page_count response["data"] = {} response["data"]["discussion"] = discussion_serializer.data response["data"]["replies"] = reply_serializer.data return response else: response["error"] = "This discussion id does not exist" def get_discussion(pk): """ Return the discussion with id pk """ response = {} discussion = DiscussionThread.objects.get(id = pk) serializer = DiscussionThreadSerializer(discussion) response["data"] = serializer.data return response def send_notification(discussion): """ send an email notification to people subscribed to a thread """ for user in discussion.subscribed.all(): discussion_url = "http://" + BASE_URL + "/discussions/" + str(discussion.id) message = "Hey "+user.user.first_name + "!\n" message += "A new reply was added to this discussion\n" message += 'To view the discussions click here - '+discussion_url send_parallel_mail(discussion.title + " - new reply",message,[user.user.email]) def add_reply(pk, request): """ add a reply to the discussion thread with id pk """ response = {} discussion = DiscussionThread.objects.get(id = pk) discussion_serializer = DiscussionThreadSerializer(discussion) serializer = ReplySerializer(data=request.POST) if serializer.is_valid(): user_profile = UserProfile.objects.get(user = request.user) reply = serializer.save( posted_by = user_profile, posted_at = timezone.now(), thread = discussion ) for _file in request.FILES.getlist('attachments'): print _file attachment = Attachment( reply = reply, uploaded_file = _file ) attachment.save() discussion.no_of_replies += 1 #automatically subscribe the person adding the reply to the discussion discussion.subscribed.add(user_profile) send_notification(discussion) discussion.save() response["result"] = result.RESULT_SUCCESS response["data"] = discussion_serializer.data else: response["result"] = result.RESULT_FAILURE response["error"] = serializer.errors response["data"] = discussion_serializer.data return response

31.342412

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8,055

5.737613

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0.031403

0.040824

0.368989

0.349166

0.336408

0.297743

0.29578

0

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0.261577

8,055

257

146

31.342412

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0.424242

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null

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0.121212

null

0.006061

0

null

0

null

0

1

0

1

2b809f699739184b5a2cfa529c9aff5901c0adf0

2,816

py

Python

src/third_party/pcap2har/main.py

ashumeow/pcaphar

68d20b74bb16fa1b4183ebe04753ffcecf9daedf

[ "Apache-2.0" ]

null

src/third_party/pcap2har/main.py

ashumeow/pcaphar

68d20b74bb16fa1b4183ebe04753ffcecf9daedf

[ "Apache-2.0" ]

null

src/third_party/pcap2har/main.py

ashumeow/pcaphar

68d20b74bb16fa1b4183ebe04753ffcecf9daedf

[ "Apache-2.0" ]

null

# Copyright 2010 Google Inc. 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. """ Command line tool to convert PCAP file to HAR format. This is command line to for pcaphar app engine. A user can convert a PCAP file to HAR format file. """ __author__ = 'lsong@google.com (Libo Song)' import os import sys # add third_party directory to sys.path for global import path = os.path.join(os.path.dirname(__file__), "..") sys.path.append(os.path.abspath(path)) dpkt_path = os.path.join(path, "dpkt") sys.path.append(os.path.abspath(dpkt_path)) import heapq import logging import StringIO import time import convert def PrintUsage(): print __file__, "[options] <pcap file> [<har file>]" print "options: -l[diwe] log level" print " --port filter out port" def main(argv=None): logging_level = logging.WARNING filter_port = -1 if argv is None: argv = sys.argv filenames = [] idx = 1 while idx < len(argv): if argv[idx] == '-h' or argv[idx] == '--help': PrintUsage() return 0 elif argv[idx] == '--port': idx += 1 if idx >= len(argv): PrintUsage() return 1 filter_port = int(argv[idx]) elif argv[idx] == '-ld': logging_level = logging.DEBUG elif argv[idx] == '-li': logging_level = logging.INFO elif argv[idx] == '-lw': logging_level = logging.WARN elif argv[idx] == '-le': logging_level = logging.ERROR elif argv[idx][0:1] == '-': print "Unknow option:", argv[idx] PrintUsage() return 1 else: filenames.append(argv[idx]) idx += 1 # set the logging level logging.basicConfig(level=logging_level) if len(filenames) == 1: pcap_file = filenames[0] har_file = pcap_file + ".har" elif len(filenames) == 2: pcap_file = filenames[0] har_file = filenames[1] else: PrintUsage() return 1 # If excpetion raises, do not catch it to terminate the program. inf = open(pcap_file, 'r') pcap_in = inf.read() inf.close har_out = StringIO.StringIO() options = convert.Options() #options.remove_cookie = False convert.convert(pcap_in, har_out, options) har_out_str = har_out.getvalue() outf = open(har_file, 'w') outf.write(har_out_str) outf.close() if __name__ == "__main__": sys.exit(main())

25.834862

78

0.667259

411

2,816

4.454988

0.394161

0.042054

0.062261

0.017477

0.076461

0.055707

0

0.010393

0.214134

2,816

108

79

26.074074

0.816991

0.262429

0

0.185714

0

0.095364

0

null

0

0.1

null

0.057143

0

null

0

null

0

1

0

1

2b85b84ca70ad679c297d70925380a546779f12d

588

py

Python

kunai/torch_utils/seed.py

mjun0812/kunai

6a457c7242ed98dadb29f7002a3c0385ae6c1701

[ "MIT" ]

null

kunai/torch_utils/seed.py

mjun0812/kunai

6a457c7242ed98dadb29f7002a3c0385ae6c1701

[ "MIT" ]

null

kunai/torch_utils/seed.py

mjun0812/kunai

6a457c7242ed98dadb29f7002a3c0385ae6c1701

[ "MIT" ]

null

import random import numpy as np import torch def worker_init_fn(worker_id): """Reset numpy random seed in PyTorch Dataloader Args: worker_id (int): random seed value """ np.random.seed(np.random.get_state()[1][0] + worker_id) def fix_seed(seed): """fix seed on random, numpy, torch module Args: seed (int): seed parameter Returns: int: seed parameter """ # random random.seed(seed) # Numpy np.random.seed(seed) # Pytorch torch.manual_seed(seed) torch.cuda.manual_seed_all(seed) return seed

17.294118

59

0.634354

81

588

4.481481

0.395062

0.137741

0.066116

0

0.004619

0.263605

588

33

60

17.818182

0.833718

0.382653

0

1

0.181818

false

0

0.272727

0

0.545455

0

null

0

null

0

1

0

1

2b8826183338e351fe4dbe3ffb007fda739ce1c8

467

py

Python

datastrucutre/array/find_given_sum_in_array.py

abhishektyagi2912/python-dsa

8f51f15a091ee76e00fb34abc232c23cb68440cb

[ "MIT" ]

1

2021-05-02T05:43:34.000Z

datastrucutre/array/find_given_sum_in_array.py

abhishektyagi2912/python-dsa

8f51f15a091ee76e00fb34abc232c23cb68440cb

[ "MIT" ]

null

datastrucutre/array/find_given_sum_in_array.py

abhishektyagi2912/python-dsa

8f51f15a091ee76e00fb34abc232c23cb68440cb

[ "MIT" ]

null

def find_sum(arr, s): curr_sum = arr[0] start = 0 n = len(arr) - 1 i = 1 while i <= n: while curr_sum > s and start < i: curr_sum = curr_sum - arr[start] start += 1 if curr_sum == s: return "Found between {} and {}".format(start, i - 1) curr_sum = curr_sum + arr[i] i += 1 return "Sum not found" arr = [15, 2, 4, 8, 9, 5, 10, 23] print(find_sum(arr, 6))

18.68

65

0.466809

73

467

2.863014

0.410959

0.23445

0.143541

0.133971

0.162679

0

0.067857

0.400428

467

24

66

19.458333

0.678571

0

0.077088

0

1

0.0625

false

0

0.1875

0.0625

0

null

1

0

null

0

1

2b8a843980224263fdf89972e3e7e0691943f2f7

216

py

Python

tests/test_winterspringbl.py

lamter/slavewg

c3a4098b6c2cbfd232f8ed2290141b7f61d7db6f

[ "Apache-2.0" ]

3

2020-08-13T15:04:33.000Z

2021-03-12T16:12:39.000Z

tests/test_winterspringbl.py

lamter/slavewg

c3a4098b6c2cbfd232f8ed2290141b7f61d7db6f

[ "Apache-2.0" ]

null

tests/test_winterspringbl.py

lamter/slavewg

c3a4098b6c2cbfd232f8ed2290141b7f61d7db6f

[ "Apache-2.0" ]

null

import slavewg from threading import Event from queue import Queue def test_runLoop(): q = Queue() s = Event() s.set() lbl = slavewg.LootBlackLotus(s, q) lbl.do(lbl.pos_winterspring_mountain)

15.428571

41

0.680556

30

216

4.8

0.6

0

0.222222

216

13

42

16.615385

0.857143

0

1

0.111111

false

0

0.333333

0

0.444444

0

null

0

null

0

1

0

1

2b8cd12ab30cf14546818a1c84e84c64173a25c5

2,218

py

Python

thesis_scripts/train_probs_plot.py

jizongFox/kaggle-seizure-prediction

9439d1c8ca9b4282fcd630a20d0d7946b790e218

[ "MIT" ]

55

2015-03-17T16:54:49.000Z

2022-03-10T13:49:08.000Z

thesis_scripts/train_probs_plot.py

jizongFox/kaggle-seizure-prediction

9439d1c8ca9b4282fcd630a20d0d7946b790e218

[ "MIT" ]

2

2018-05-12T20:29:52.000Z

2021-08-10T11:27:05.000Z

thesis_scripts/train_probs_plot.py

jizongFox/kaggle-seizure-prediction

9439d1c8ca9b4282fcd630a20d0d7946b790e218

[ "MIT" ]

18

2015-03-20T03:03:17.000Z

2022-03-10T13:49:20.000Z

import numpy as np import json import cPickle import matplotlib.pyplot as plt from theano import config import matplotlib.cm as cmx import matplotlib.colors as colors from sklearn.metrics import roc_curve from utils.loader import load_train_data from utils.config_name_creator import * from utils.data_scaler import scale_across_features, scale_across_time from cnn.conv_net import ConvNet config.floatX = 'float32' def get_cmap(N): color_norm = colors.Normalize(vmin=0, vmax=N - 1) scalar_map = cmx.ScalarMappable(norm=color_norm, cmap='hsv') def map_index_to_rgb_color(index): return scalar_map.to_rgba(index) return map_index_to_rgb_color def plot_train_probs(subject, data_path, model_path): with open(model_path + '/' + subject + '.pickle', 'rb') as f: state_dict = cPickle.load(f) cnn = ConvNet(state_dict['params']) cnn.set_weights(state_dict['weights']) scalers = state_dict['scalers'] d = load_train_data(data_path, subject) x, y = d['x'], d['y'] x, _ = scale_across_time(x, x_test=None, scalers=scalers) if state_dict['params']['scale_time'] \ else scale_across_features(x, x_test=None, scalers=scalers) cnn.batch_size.set_value(x.shape[0]) probs = cnn.get_test_proba(x) fpr, tpr, threshold = roc_curve(y, probs) c = np.sqrt((1-tpr)**2+fpr**2) opt_threshold = threshold[np.where(c==np.min(c))[0]] print opt_threshold x_coords = np.zeros(len(y), dtype='float64') rng = np.random.RandomState(42) x_coords += rng.normal(0.0, 0.08, size=len(x_coords)) plt.scatter(x_coords, probs, c=y, s=60) plt.title(subject) plt.show() if __name__ == '__main__': with open('SETTINGS.json') as f: settings_dict = json.load(f) data_path = settings_dict['path']['processed_data_path'] + '/' + create_fft_data_name(settings_dict) model_path = settings_dict['path']['model_path'] + '/' + create_cnn_model_name(settings_dict) subjects = ['Patient_1', 'Patient_2', 'Dog_1', 'Dog_2', 'Dog_3', 'Dog_4', 'Dog_5'] for subject in subjects: print '***********************', subject, '***************************' plot_train_probs(subject, data_path, model_path)

32.617647

104

0.681695

335

2,218

4.235821

0.370149

0.028189

0.027484

0.018323

0.112755

0.087385

0.053559

0

0.014618

0.167268

2,218

68

105

32.617647

0.753655

0

0.098242

0.022533

0

null

0

0.24

null

0.04

0

null

0

null

0

1

0

1

2b8eb6f4aea8446268376f43354cab9bc858fe41

9,313

py

Python

jaeun.py

catubc/ensembles

cf4bd380a6ac300e477d555a6b708363100f974b

[ "MIT" ]

null

jaeun.py

catubc/ensembles

cf4bd380a6ac300e477d555a6b708363100f974b

[ "MIT" ]

null

jaeun.py

catubc/ensembles

cf4bd380a6ac300e477d555a6b708363100f974b

[ "MIT" ]

null

# Kang Miller et al 2014 method for computing ensembles # # # import numpy as np import matplotlib.pyplot as plt import os import scipy.stats def PCA(X, n_components): from sklearn import decomposition #pca = decomposition.SparsePCA(n_components=3, n_jobs=1) pca = decomposition.PCA(n_components=n_components) print "... fitting PCA ..." pca.fit(X) for k in range (n_components): print "... explained variance: ", pca.explained_variance_[k] print "... pca transform..." return pca.transform(X) def corr2_coeff(A,B): # Rowwise mean of input arrays & subtract from input arrays themeselves A_mA = A - A.mean(1)[:,None] B_mB = B - B.mean(1)[:,None] # Sum of squares across rows ssA = (A_mA**2).sum(1); ssB = (B_mB**2).sum(1); # Finally get corr coeff return np.dot(A_mA,B_mB.T)/np.sqrt(np.dot(ssA[:,None],ssB[None])) def jaeun_detect(rasters, list_filename): print rasters.shape activity = np.sum(rasters,axis=0) #plt.plot(activity) std = np.std(activity)*4 #plt.plot([0,len(rasters[0])],[std,std]) #determine neurons in each ensemble: indexes = np.where(activity>std)[0] ensembles = [] vectors = [] for index in indexes: ensembles.append(np.where(rasters[:,index]>0)[0]) print len(ensembles) vectors.append(rasters[:,index]) #plt.plot([index,index],[0,40]) #plt.show() #Normalize vectors vec_matrix = np.float32(np.vstack(vectors)).T print vec_matrix.shape for k in range(len(vec_matrix)): vec_matrix[k] = vec_matrix[k]/np.sum(vec_matrix[k]) vec_matrix = np.nan_to_num(vec_matrix).T plt.imshow(vec_matrix) plt.show() #Compute correlation: corr_matrix = np.zeros((len(vectors),len(vectors)),dtype=np.float32) corr_array =[] for e in range(len(vectors)): for f in range(0,len(vectors),1): print len(vectors[e]),len(vectors[f]) print scipy.stats.pearsonr(vectors[e],vectors[f]) r = scipy.stats.pearsonr(vectors[e],vectors[f])[1] corr_matrix[e,f] = 0.5*np.log((1+r)/(1-r)) corr_array.append(0.5*np.log((1+r)/(1-r))) print corr_matrix print np.min(corr_matrix), np.max(corr_matrix) plt.imshow(corr_matrix) plt.show() #from scipy.cluster.hierarchy import linkage, dendrogram #linkage_matrix = linkage(vectors, 'single') #dendogram = dendrogram(linkage_matrix,truncate_mode='none') from sklearn.cluster import SpectralClustering mat = corr_matrix ids = SpectralClustering(10).fit_predict(mat) #print img if False: #Use PCA to cluster highly-active frames: data = PCA(vectors,3) plt.scatter(data[:,0], data[:,1]) plt.show() if False: #Use hyperangles to compute difference matrix = np.zeros((len(vectors),len(vectors)), dtype=np.float32) vector0 = np.zeros(len(vectors[0]),dtype=np.float32)+1 dists = [] for e in range(len(vectors)): p = np.dot(vectors[e],vector0)/np.linalg.norm(vectors[e])/np.linalg.norm(vector0) # -> cosine of the angle dists.append(np.degrees(np.arccos(np.clip(p, -1, 1)))) for f in range(len(vectors)): c = np.dot(vectors[e],vectors[f])/np.linalg.norm(vectors[e])/np.linalg.norm(vectors[f]) # -> cosine of the angle #dists = #print c #c = np.degrees(np.arccos(np.clip(c, -1, 1))) matrix[e,f] = np.degrees(np.arccos(np.clip(c, -1, 1))) #matrix[e,f] = c print "...angle: ", matrix[e,f] #temp_angle_array.append(c) plt.imshow(matrix) plt.show() bin_width = 10 # histogram bin width in usec y = np.histogram(dists, bins = np.arange(0,90,bin_width)) plt.bar(y[1][:-1], y[0], bin_width, color='b', alpha=1) plt.show() if False: #Use SVD on all data; pass #quit() return ensembles, ids #Load ROI countour data first roi_filename = '/media/cat/250GB/in_vivo/alejandro/G2M4/joint/all_registered_processed_ROIs.npz' data_in = np.load(roi_filename, encoding= 'latin1', mmap_mode='c') Bmat_array = data_in['Bmat_array'] cm = data_in['cm'] #Centre of mass thr_array = data_in['thr_array'] #Threshold array original data, usually 0.2 traces = data_in['traces'] # x_array = data_in['x_array'] y_array = data_in['y_array'] colors='b' list_filename = '/media/cat/250GB/in_vivo/alejandro/G2M4/ch1_file_list.txt' filenames = np.loadtxt(list_filename, dtype='str') thr_fixed=.5 ctr=0 modularity_levels = np.arange(0,25,1) colors = ['gold','mediumslateblue','grey','thistle','teal','palegreen','violet','deepskyblue','blue','green','cyan','orange','red'] for s, filename in enumerate(filenames): print (filename) if '000' in filename: print ctr, (ctr*7)%21+int(ctr/3.)+1 print ("... spontaneous recording ...") rasters = np.load(filename[:-4]+"_rasters.npy") ensembles, ids = jaeun_detect(rasters, list_filename) print ensembles print ids #frame_array, weight_array = luis_detect(rasters, list_filename) #main_ensembles, other_ensembles = luis_ensembles (frame_array, weight_array, rasters) print len(main_ensembles) for k in range(len(main_ensembles)): print "...plotting ensemble: ", k ax=plt.subplot(3,3,k+1) plt.title("Ensemble: "+str(k), fontsize=20) ax.set_xticks([]); ax.set_yticks([]) ##Draw all neurons first #for i, (y,x,Bmat,thr) in enumerate(zip(y_array,x_array,Bmat_array,thr_array)): # cs = plt.contour(y, x, Bmat, [thr_fixed], colors='black',alpha=0.3) #Draw neurons at each modularity unique_indexes = main_ensembles[k] #Select neurons at this level for i in unique_indexes: #cs = plt.contour(y_array[i], x_array[i], Bmat_array[i], [thr_fixed], colors=colors[k%13],linewidth=15, alpha=1) cs = plt.contour(y_array[i], x_array[i], Bmat_array[i], [thr_fixed], colors='red',linewidth=15, alpha=1) #Draw background neurons unique_indexes = other_ensembles[k] #Select neurons at this level for i in unique_indexes: #cs = plt.contour(y_array[i], x_array[i], Bmat_array[i], [thr_fixed], colors=colors[k%13],linewidth=15, alpha=1) cs = plt.contour(y_array[i], x_array[i], Bmat_array[i], [thr_fixed], colors='black',linewidth=15, alpha=0.5) plt.show() if '001' in filename: print ("... stim recording...") #Draw stim1 ensembles network_stim1 = np.load(filename[:-4]+"_networks_stim1.npy") ax=plt.subplot(3,7,(ctr*7)%21+int(ctr/3.)+1) ax.set_xticks([]); ax.set_yticks([]) if ctr==1: plt.ylabel("Horizontal",fontsize=15) ctr+=1 plt.title(os.path.split(filename)[1][:-4].replace('_C1V1_GCaMP6s','')+", #: "+str(len(network_stim1)),fontsize=9) #Draw all neurons first for i, (y,x,Bmat,thr) in enumerate(zip(y_array,x_array,Bmat_array,thr_array)): cs = plt.contour(y, x, Bmat, [thr_fixed], colors='black',alpha=0.3) #Draw neurons at each modularity for k in modularity_levels: if k>(len(network_stim1)-1): break index_array = network_stim1[k] #Select neurons at this level unique_indexes=np.unique(index_array) #THIS is redundant as neurons are uniquely asigned to modularity levels print ("... modularity: ", k, " # neurons: ", len(unique_indexes)) for i in unique_indexes: cs = plt.contour(y_array[i], x_array[i], Bmat_array[i], [thr_fixed], colors=colors[k],linewidth=15, alpha=1) #Draw stim2 ensembles network_stim2 = np.load(filename[:-4]+"_networks_stim2.npy") ax=plt.subplot(3,7,(ctr*7)%21+int(ctr/3.)+1) ax.set_xticks([]); ax.set_yticks([]) if ctr==2: plt.ylabel("Vertical",fontsize=15) ctr+=1 plt.title(os.path.split(filename)[1][:-4].replace('_C1V1_GCaMP6s','')+", #: "+str(len(network_stim2)),fontsize=9) #Draw all neurons first for i, (y,x,Bmat,thr) in enumerate(zip(y_array,x_array,Bmat_array,thr_array)): cs = plt.contour(y, x, Bmat, [thr_fixed], colors='black',alpha=0.3) #Draw neurons at each modularity for k in modularity_levels: if k>(len(network_stim2)-1): break index_array = network_stim2[k] #Select neurons at this level unique_indexes=np.unique(index_array) #THIS is redundant as neurons are uniquely asigned to modularity levels print ("... modularity: ", k, " # neurons: ", len(unique_indexes)) for i in unique_indexes: cs = plt.contour(y_array[i], x_array[i], Bmat_array[i], [thr_fixed], colors=colors[k],linewidth=15, alpha=1) plt.show()

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1

2b91b64bcf9fb63e83545e349af03a180f049619

3,012

py

Python

fun/fnotification/migrations/0001_initial.py

larryw3i/osp

d9526a179876053a6b93e5a110d2de730376f511

[ "MIT" ]

1

2022-01-01T11:14:58.000Z

fun/fnotification/migrations/0001_initial.py

larryw3i/osp

d9526a179876053a6b93e5a110d2de730376f511

[ "MIT" ]

null

fun/fnotification/migrations/0001_initial.py

larryw3i/osp

d9526a179876053a6b93e5a110d2de730376f511

[ "MIT" ]

null

# Generated by Django 4.0 on 2022-01-13 10:17 import uuid import ckeditor_uploader.fields import django.db.models.deletion from django.conf import settings from django.db import migrations, models class Migration(migrations.Migration): initial = True dependencies = [ ('funuser', '0004_alter_funuser_avatar'), ('auth', '0012_alter_user_first_name_max_length'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Fnotification', fields=[ ('id', models.UUIDField( default=uuid.uuid4, editable=False, primary_key=True, serialize=False, unique=True)), ('title', models.CharField( max_length=64, verbose_name='Title')), ('content', ckeditor_uploader.fields.RichTextUploadingField( max_length=2048, verbose_name='Content')), ('additional_files', models.FileField( help_text='If you have more than one file, please package them and upload them.', upload_to='', verbose_name='Additional files')), ('DOC', models.DateTimeField( auto_now_add=True, verbose_name='Date of creating')), ('DOU', models.DateTimeField( auto_now=True, verbose_name='Date of updating')), ('comment', models.TextField( max_length=128, verbose_name='Comment')), ('groups', models.ManyToManyField( blank=True, help_text='The groups this notification belongs to. all user of specific groups will receive notification. for all users if groups is null', related_name='notification_set', related_query_name='notification', to='auth.Group', verbose_name='groups')), ('poster', models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to='funuser.funuser', verbose_name='Author')), ('readers', models.ManyToManyField( blank=True, related_name='reader_set', related_query_name='reader', to=settings.AUTH_USER_MODEL, verbose_name='Reader')), ], options={ 'verbose_name': 'Notification', 'verbose_name_plural': 'Notifications', }, ), ]

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2b96e0991964b2437d682f1fd12e74f747085a34

302

py

Python

skippa/__init__.py

data-science-lab-amsterdam/skippa

1349317c441f1e46e22f4c02a8aceae767aea5fe

[ "BSD-3-Clause" ]

33

2021-12-15T22:56:12.000Z

2022-02-26T12:33:56.000Z

skippa/__init__.py

data-science-lab-amsterdam/skippa

1349317c441f1e46e22f4c02a8aceae767aea5fe

[ "BSD-3-Clause" ]

null

skippa/__init__.py

data-science-lab-amsterdam/skippa

1349317c441f1e46e22f4c02a8aceae767aea5fe

[ "BSD-3-Clause" ]

1

2022-01-20T15:41:35.000Z

"""Top-level package for skippa. The pipeline module defines the main Skippa methods The transformers subpackage contains various transformers used in the pipeline. """ __author__ = """Robert van Straalen""" __email__ = 'tech@datasciencelab.nl' from .pipeline import Skippa, SkippaPipeline, columns

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null

0

null

0

1

0

1

2ba20cdbe21eded23a10e339852b7da8fa1eb902

948

py

Python

conftest.py

dasap89/rest_accounts

e0daeece000391d93e1bc99db484b8fe45588046

[ "MIT" ]

null

conftest.py

dasap89/rest_accounts

e0daeece000391d93e1bc99db484b8fe45588046

[ "MIT" ]

null

conftest.py

dasap89/rest_accounts

e0daeece000391d93e1bc99db484b8fe45588046

[ "MIT" ]

null

"""Additional configuration for pytest""" import datetime import os import pytest from django.contrib.auth import get_user_model from rest_framework.authtoken.models import Token User = get_user_model() # pylint: disable=redefined-outer-name,unused-argument,no-member @pytest.fixture(scope='session') def django_db_setup(django_db_setup, django_db_blocker): """Set up the database for tests that need it""" with django_db_blocker.unblock(): user_one = User.objects.create_user( email='user_one@example.com', password='test_123' ) Token.objects.create(user=user_one) @pytest.mark.django_db def get_token(email='user_one@example.com'): """ Get user token from db :param user: User name :return: Key value from Token model object """ test_user = User.objects.get(email=email) # pylint: disable=no-member return Token.objects.get(user_id=test_user.id).key

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null

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null

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1

2ba38d92cac59d9afb0607dd598cb535e95a6b6e

1,099

py

Python

lib/rucio/db/sqla/migrate_repo/versions/35ef10d1e11b_change_index_on_table_requests.py

balrampariyarath/rucio

8a68017af6b44485a9620566f1afc013838413c1

[ "Apache-2.0" ]

1

2017-08-07T13:34:55.000Z

lib/rucio/db/sqla/migrate_repo/versions/35ef10d1e11b_change_index_on_table_requests.py

pujanm/rucio

355a997a5ea213c427a5d841ab151ceb01073eb4

[ "Apache-2.0" ]

null

lib/rucio/db/sqla/migrate_repo/versions/35ef10d1e11b_change_index_on_table_requests.py

pujanm/rucio

355a997a5ea213c427a5d841ab151ceb01073eb4

[ "Apache-2.0" ]

1

2021-06-17T14:15:15.000Z

""" Copyright European Organization for Nuclear Research (CERN) 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 Authors: - Vincent Garonne, <vincent.garonne@cern.ch>, 2014-2017 change index on table requests Revision ID: 35ef10d1e11b Revises: 3152492b110b Create Date: 2014-06-20 09:01:52.704794 """ from alembic.op import create_index, drop_index # revision identifiers, used by Alembic. revision = '35ef10d1e11b' # pylint:disable=invalid-name down_revision = '3152492b110b' # pylint:disable=invalid-name def upgrade(): ''' upgrade method ''' create_index('REQUESTS_TYP_STA_UPD_IDX', 'requests', ["request_type", "state", "updated_at"]) drop_index('REQUESTS_TYP_STA_CRE_IDX', 'requests') def downgrade(): ''' downgrade method ''' create_index('REQUESTS_TYP_STA_CRE_IDX', 'requests', ["request_type", "state", "created_at"]) drop_index('REQUESTS_TYP_STA_UPD_IDX', 'requests')

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null

0

1

0

1

2bad9543f61fe85bae0ab93637dfc67e43dc0ae6

1,876

py

Python

dm_verity_make_ext4fs.py

bigb123/samsung-android_bootable_recovery_libdmverity

2f9ce00f76ed4f1a251d5244ae2533cf53417478

[ "MIT" ]

1

2020-06-28T00:49:21.000Z

dm_verity_make_ext4fs.py

bigb123/samsung-android_bootable_recovery_libdmverity

2f9ce00f76ed4f1a251d5244ae2533cf53417478

[ "MIT" ]

null

dm_verity_make_ext4fs.py

bigb123/samsung-android_bootable_recovery_libdmverity

2f9ce00f76ed4f1a251d5244ae2533cf53417478

[ "MIT" ]

1

2021-03-05T16:54:52.000Z

#! /usr/bin/env python # make_ext4fs -s -S /home/swei/p4/STA-ESG_SWEI_KLTE_ATT-TRUNK_DMV/android/out/target/product/klteatt/root/file_contexts -l 2654994432 -a system system.img.ext4 system import os,posixpath,sys,getopt reserve=1024*1024*32 def run(cmd): print cmd # return 0 return os.system(cmd) def main(): d = posixpath.dirname(sys.argv[0]) make_ext4fs_opt_list = [] optlist, args = getopt.getopt(sys.argv[1:], 'l:j:b:g:i:I:L:a:G:fwzJsctrvS:X:') if len(args) < 1: print 'image file not specified' return -1; image_file = args[0] length = None sparse = False for o, a in optlist: if '-l' == o: length = int(a) make_ext4fs_opt_list.append(o) make_ext4fs_opt_list.append(str(length-reserve)) elif '-s' == o: sparse = True make_ext4fs_opt_list.append(o) else: make_ext4fs_opt_list.append(o) if len(a) > 0: make_ext4fs_opt_list.append(a) if not sparse: print 'we can only handle sparse image format for server generated dmverity for now' return -1 if None == length: print 'size of system image not taken' return -1 make_ext4fs_opt_list.extend(args) cmd = os.path.join(d, 'make_ext4fs') + ' ' +' '.join(make_ext4fs_opt_list) if(0 != run(cmd)): print 'failed!' return -1; cmd = ' '.join(['img_dm_verity', '/dev/block/platform/15540000.dwmmc0/by-name/SYSTEM', str(length), image_file, image_file+'.tmp']) if(0 != run(cmd)): print 'failed!' return -1; cmd = ' '.join(['mv', image_file+'.tmp', image_file]) if(0 != run(cmd)): print 'failed!' return -1; return 0 #return os.system(cmd) if __name__ == "__main__": ret = main() sys.exit(ret)

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null

0

null

0

1

0

1

2bb629029f6d9ac0a63d285ca3b6e11796d43870

10,171

py

Python

mcp2515.py

sifosifo/MCP2515LinuxDriver

14e933a81626980ec7c9c9830335383fdd7abe3a

[ "BSD-3-Clause" ]

3

2018-01-31T11:54:21.000Z

2020-02-13T08:12:07.000Z

mcp2515.py

sifosifo/MCP2515LinuxDriver

14e933a81626980ec7c9c9830335383fdd7abe3a

[ "BSD-3-Clause" ]

1

2020-02-15T06:01:39.000Z

2020-02-27T05:23:43.000Z

mcp2515.py

sifosifo/MCP2515LinuxDriver

14e933a81626980ec7c9c9830335383fdd7abe3a

[ "BSD-3-Clause" ]

null

#!/usr/bin/python import spidev class mcp2515: SPI_RESET = 0xC0 SPI_READ = 0x03 SPI_READ_RX = 0x90 SPI_WRITE = 0x02 SPI_WRITE_TX = 0x40 SPI_RTS = 0x80 SPI_READ_STATUS = 0xA0 SPI_RX_STATUS = 0xB0 SPI_BIT_MODIFY = 0x05 #/* Configuration Registers */ CANSTAT = 0x0E CANCTRL = 0x0F BFPCTRL = 0x0C TEC = 0x1C REC = 0x1D CNF3 = 0x28 CNF2 = 0x29 CNF1 = 0x2A CANINTE = 0x2B CANINTF = 0x2C EFLG = 0x2D TXRTSCTRL = 0x0D #/* Recieve Filters */ RXF0SIDH = 0x00 RXF0SIDL = 0x01 RXF0EID8 = 0x02 RXF0EID0 = 0x03 RXF1SIDH = 0x04 RXF1SIDL = 0x05 RXF1EID8 = 0x06 RXF1EID0 = 0x07 RXF2SIDH = 0x08 RXF2SIDL = 0x09 RXF2EID8 = 0x0A RXF2EID0 = 0x0B RXF3SIDH = 0x10 RXF3SIDL = 0x11 RXF3EID8 = 0x12 RXF3EID0 = 0x13 RXF4SIDH = 0x14 RXF4SIDL = 0x15 RXF4EID8 = 0x16 RXF4EID0 = 0x17 RXF5SIDH = 0x18 RXF5SIDL = 0x19 RXF5EID8 = 0x1A RXF5EID0 = 0x1B #/* Receive Masks */ RXM0SIDH = 0x20 RXM0SIDL = 0x21 RXM0EID8 = 0x22 RXM0EID0 = 0x23 RXM1SIDH = 0x24 RXM1SIDL = 0x25 RXM1EID8 = 0x26 RXM1EID0 = 0x27 #/* Tx Buffer 0 */ TXB0CTRL = 0x30 TXB0SIDH = 0x31 TXB0SIDL = 0x32 TXB0EID8 = 0x33 TXB0EID0 = 0x34 TXB0DLC = 0x35 TXB0D0 = 0x36 TXB0D1 = 0x37 TXB0D2 = 0x38 TXB0D3 = 0x39 TXB0D4 = 0x3A TXB0D5 = 0x3B TXB0D6 = 0x3C TXB0D7 = 0x3D #/* Tx Buffer 1 */ TXB1CTRL = 0x40 TXB1SIDH = 0x41 TXB1SIDL = 0x42 TXB1EID8 = 0x43 TXB1EID0 = 0x44 TXB1DLC = 0x45 TXB1D0 = 0x46 TXB1D1 = 0x47 TXB1D2 = 0x48 TXB1D3 = 0x49 TXB1D4 = 0x4A TXB1D5 = 0x4B TXB1D6 = 0x4C TXB1D7 = 0x4D #/* Tx Buffer 2 */ TXB2CTRL = 0x50 TXB2SIDH = 0x51 TXB2SIDL = 0x52 TXB2EID8 = 0x53 TXB2EID0 = 0x54 TXB2DLC = 0x55 TXB2D0 = 0x56 TXB2D1 = 0x57 TXB2D2 = 0x58 TXB2D3 = 0x59 TXB2D4 = 0x5A TXB2D5 = 0x5B TXB2D6 = 0x5C TXB2D7 = 0x5D #/* Rx Buffer 0 */ RXB0CTRL = 0x60 RXB0SIDH = 0x61 RXB0SIDL = 0x62 RXB0EID8 = 0x63 RXB0EID0 = 0x64 RXB0DLC = 0x65 RXB0D0 = 0x66 RXB0D1 = 0x67 RXB0D2 = 0x68 RXB0D3 = 0x69 RXB0D4 = 0x6A RXB0D5 = 0x6B RXB0D6 = 0x6C RXB0D7 = 0x6D #/* Rx Buffer 1 */ RXB1CTRL = 0x70 RXB1SIDH = 0x71 RXB1SIDL = 0x72 RXB1EID8 = 0x73 RXB1EID0 = 0x74 RXB1DLC = 0x75 RXB1D0 = 0x76 RXB1D1 = 0x77 RXB1D2 = 0x78 RXB1D3 = 0x79 RXB1D4 = 0x7A RXB1D5 = 0x7B RXB1D6 = 0x7C RXB1D7 = 0x7D #/******************************************************************* # * Bit register masks * # *******************************************************************/ #/* TXBnCTRL */ TXREQ = 0x08 TXP = 0x03 #/* RXBnCTRL */ RXM = 0x60 BUKT = 0x04 #/* CANCTRL */ REQOP = 0xE0 ABAT = 0x10 OSM = 0x08 CLKEN = 0x04 CLKPRE = 0x03 #/* CANSTAT */ REQOP = 0xE0 ICOD = 0x0E #/* CANINTE */ RX0IE = 0x01 RX1IE = 0x02 TX0IE = 0x04 TX1IE = 0x80 TX2IE = 0x10 ERRIE = 0x20 WAKIE = 0x40 MERRE = 0x80 #/* CANINTF */ RX0IF = 0x01 RX1IF = 0x02 TX0IF = 0x04 TX1IF = 0x80 TX2IF = 0x10 ERRIF = 0x20 WAKIF = 0x40 MERRF = 0x80 #/* BFPCTRL */ B1BFS = 0x20 B0BFS = 0x10 B1BFE = 0x08 B0BFE = 0x04 B1BFM = 0x02 B0BFM = 0x01 #/* CNF1 Masks */ SJW = 0xC0 BRP = 0x3F #/* CNF2 Masks */ BTLMODE = 0x80 SAM = 0x40 PHSEG1 = 0x38 PRSEG = 0x07 #/* CNF3 Masks */ WAKFIL = 0x40 PHSEG2 = 0x07 #/* TXRTSCTRL Masks */ TXB2RTS = 0x04 TXB1RTS = 0x02 TXB0RTS = 0x01 #/******************************************************************* # * Bit Timing Configuration * # *******************************************************************/ #/* CNF1 */ SJW_1TQ = 0x40 SJW_2TQ = 0x80 SJW_3TQ = 0x90 SJW_4TQ = 0xC0 #/* CNF2 */ BTLMODE_CNF3 = 0x80 BTLMODE_PH1_IPT = 0x00 SMPL_3X = 0x40 SMPL_1X = 0x00 PHSEG1_8TQ = 0x38 PHSEG1_7TQ = 0x30 PHSEG1_6TQ = 0x28 PHSEG1_5TQ = 0x20 PHSEG1_4TQ = 0x18 PHSEG1_3TQ = 0x10 PHSEG1_2TQ = 0x08 PHSEG1_1TQ = 0x00 PRSEG_8TQ = 0x07 PRSEG_7TQ = 0x06 PRSEG_6TQ = 0x05 PRSEG_5TQ = 0x04 PRSEG_4TQ = 0x03 PRSEG_3TQ = 0x02 PRSEG_2TQ = 0x01 PRSEG_1TQ = 0x00 #/* CNF3 */ PHSEG2_8TQ = 0x07 PHSEG2_7TQ = 0x06 PHSEG2_6TQ = 0x05 PHSEG2_5TQ = 0x04 PHSEG2_4TQ = 0x03 PHSEG2_3TQ = 0x02 PHSEG2_2TQ = 0x01 PHSEG2_1TQ = 0x00 SOF_ENABLED = 0x80 WAKFIL_ENABLED = 0x40 WAKFIL_DISABLED = 0x00 #/******************************************************************* # * Control/Configuration Registers * # *******************************************************************/ #/* CANINTE */ RX0IE_ENABLED = 0x01 RX0IE_DISABLED = 0x00 RX1IE_ENABLED = 0x02 RX1IE_DISABLED = 0x00 G_RXIE_ENABLED = 0x03 G_RXIE_DISABLED = 0x00 TX0IE_ENABLED = 0x04 TX0IE_DISABLED = 0x00 TX1IE_ENABLED = 0x08 TX2IE_DISABLED = 0x00 TX2IE_ENABLED = 0x10 TX2IE_DISABLED = 0x00 G_TXIE_ENABLED = 0x1C G_TXIE_DISABLED = 0x00 ERRIE_ENABLED = 0x20 ERRIE_DISABLED = 0x00 WAKIE_ENABLED = 0x40 WAKIE_DISABLED = 0x00 IVRE_ENABLED = 0x80 IVRE_DISABLED = 0x00 #/* CANINTF */ RX0IF_SET = 0x01 RX0IF_RESET = 0x00 RX1IF_SET = 0x02 RX1IF_RESET = 0x00 TX0IF_SET = 0x04 TX0IF_RESET = 0x00 TX1IF_SET = 0x08 TX2IF_RESET = 0x00 TX2IF_SET = 0x10 TX2IF_RESET = 0x00 ERRIF_SET = 0x20 ERRIF_RESET = 0x00 WAKIF_SET = 0x40 WAKIF_RESET = 0x00 IVRF_SET = 0x80 IVRF_RESET = 0x00 #/* CANCTRL */ REQOP_CONFIG = 0x80 REQOP_LISTEN = 0x60 REQOP_LOOPBACK = 0x40 REQOP_SLEEP = 0x20 REQOP_NORMAL = 0x00 ABORT = 0x10 OSM_ENABLED = 0x08 CLKOUT_ENABLED = 0x04 CLKOUT_DISABLED = 0x00 CLKOUT_PRE_8 = 0x03 CLKOUT_PRE_4 = 0x02 CLKOUT_PRE_2 = 0x01 CLKOUT_PRE_1 = 0x00 #/* CANSTAT */ OPMODE_CONFIG = 0x80 OPMODE_LISTEN = 0x60 OPMODE_LOOPBACK = 0x40 OPMODE_SLEEP = 0x20 OPMODE_NORMAL = 0x00 #/* RXBnCTRL */ RXM_RCV_ALL = 0x60 RXM_VALID_EXT = 0x40 RXM_VALID_STD = 0x20 RXM_VALID_ALL = 0x00 RXRTR_REMOTE = 0x08 RXRTR_NO_REMOTE = 0x00 BUKT_ROLLOVER = 0x04 BUKT_NO_ROLLOVER = 0x00 FILHIT0_FLTR_1 = 0x01 FILHIT0_FLTR_0 = 0x00 FILHIT1_FLTR_5 = 0x05 FILHIT1_FLTR_4 = 0x04 FILHIT1_FLTR_3 = 0x03 FILHIT1_FLTR_2 = 0x02 FILHIT1_FLTR_1 = 0x01 FILHIT1_FLTR_0 = 0x00 #/* TXBnCTRL */ TXREQ_SET = 0x08 TXREQ_CLEAR = 0x00 TXP_HIGHEST = 0x03 TXP_INTER_HIGH = 0x02 TXP_INTER_LOW = 0x01 TXP_LOWEST = 0x00 #/******************************************************************* # * Register Bit Masks * # *******************************************************************/ DLC_0 = 0x00 DLC_1 = 0x01 DLC_2 = 0x02 DLC_3 = 0x03 DLC_4 = 0x04 DLC_5 = 0x05 DLC_6 = 0x06 DLC_7 = 0x07 DLC_8 = 0x08 #/******************************************************************* # * CAN SPI commands * # *******************************************************************/ CAN_RESET = 0xC0 CAN_READ = 0x03 CAN_WRITE = 0x02 CAN_RTS = 0x80 CAN_RTS_TXB0 = 0x81 CAN_RTS_TXB1 = 0x82 CAN_RTS_TXB2 = 0x84 CAN_RD_STATUS = 0xA0 CAN_BIT_MODIFY = 0x05 CAN_RX_STATUS = 0xB0 CAN_RD_RX_BUFF = 0x90 CAN_LOAD_TX = 0x40 #/******************************************************************* # * Miscellaneous * # *******************************************************************/ DUMMY_BYTE = 0x00 TXB0 = 0x31 TXB1 = 0x41 TXB2 = 0x51 RXB0 = 0x61 RXB1 = 0x71 EXIDE_SET = 0x08 EXIDE_RESET = 0x00 #MCP2515 CAN_10Kbps = 0x31 CAN_25Kbps = 0x13 CAN_50Kbps = 0x09 CAN_100Kbps = 0x04 CAN_125Kbps = 0x03 CAN_250Kbps = 0x01 CAN_500Kbps = 0x00 def __init__(self): self.spi = spidev.SpiDev() self.spi.open(0, 0) self.spi.max_speed_hz = 500000 self.spi.mode = 0b11 command = [self.SPI_RESET] self.spi.writebytes(command) def WriteRegister(self, Register, Data): command = [self.SPI_WRITE, Register] + Data self.spi.writebytes(command) def ReadRegister(self, Register, n): Data = [self.SPI_READ, Register] + [0]*n #print Data self.spi.xfer(Data) #print Data return(Data[2:]) def BitModify(self, Register, Mask, Value): # print "BitModify(Reg=0x%x, Mask=0x%x, Value=0x%x)" % (Register, Mask, Value) command = [self.SPI_BIT_MODIFY, Register] + [Mask, Value] self.spi.writebytes(command) def ReadStatus(self, type): Data = [type, 0xFF] self.spi.xfer(Data) return(Data[1])

22.256018

79

0.478714

1,000

10,171

4.669

0.418

0.01949

0.008996

0.015421

0.017348

0

0.198031

0.380887

10,171

456

80

22.304825

0.543433

0.174909

0

0.032641

0

0.151061

0

1

0.014837

false

0

0.002967

0

0.952522

0

null

0

null

0

1

0

1

2bb62b6a718f65b1214f64e28be9ca336c62449b

3,809

py

Python

model/grouptrack.py

janhradek/regaudio

e3ead0b19f016c645985e5f779414076306be7e0

[ "Zlib" ]

null

model/grouptrack.py

janhradek/regaudio

e3ead0b19f016c645985e5f779414076306be7e0

[ "Zlib" ]

null

model/grouptrack.py

janhradek/regaudio

e3ead0b19f016c645985e5f779414076306be7e0

[ "Zlib" ]

null

import sqlalchemy from .base import Base from .track import Track import model.tracktime class GroupTrack(Base): ''' a link between group and track (association pattern) backrefs group and track (not listed here) To use this first create the group, then group tracks, then tracks and add them to grouptracks, then add grouptracks to group Association Object ''' __tablename__ = "grouptracks" idno = sqlalchemy.Column(sqlalchemy.Integer, primary_key=True) trackid = sqlalchemy.Column(sqlalchemy.Integer, sqlalchemy.ForeignKey("tracks.idno"))#, primary_key = True) groupid = sqlalchemy.Column(sqlalchemy.Integer, sqlalchemy.ForeignKey("groups.idno"))#, primary_key = True) no = sqlalchemy.Column(sqlalchemy.Integer) # time doesnt work well with qt mvc and with python fromms = sqlalchemy.Column(sqlalchemy.Integer) lengthms = sqlalchemy.Column(sqlalchemy.Integer) #track = sqlalchemy.orm.relationship("Track", backref="grouptracks") headers = Track.headers[:] headers.insert(0, "No") headers.append("From") headers.append("Length") innerheaders = 1 # the track headers start from second index def __init__(self, no, froms, lengths): self.no = no self.fromms = froms self.lengthms = lengths def bycol(self, col, newvalue=None, edit=False): col = GroupTrack.translatecol(col) if col < 0: return self.track.bycol(-1-col, newvalue, edit) if col == 0: if newvalue != None: self.no = newvalue return True return self.no elif col == 1: if newvalue != None: nw, ok = model.tracktime.strtototal(newvalue) if ok: self.fromms = nw return ok return model.tracktime.totaltostr(self.fromms, edit) elif col == 2: if newvalue != None: nw, ok = model.tracktime.strtototal(newvalue) if ok: self.lengthms = nw return ok return model.tracktime.totaltostr(self.lengthms, edit) return None def tipbycol(self, col): col = GroupTrack.translatecol(col) if col < 0: return self.track.tipbycol(-1-col) return None @classmethod def colbycol(cls, col): col = cls.translatecol(col) if col < 0: return Track.colbycol(-1-col) if col == 0: return cls.no elif col == 1: return cls.fromms elif col == 2: return cls.lengthms @classmethod def isStar(cls,col): col = cls.translatecol(col) if col < 0: return Track.isStar(-1-col) else: return False @classmethod def isCheck(cls, col): col = cls.translatecol(col) if col < 0: return Track.isCheck(-1-col) else: return False @classmethod def translatecol(cls, col): ''' "translate" the column number to the Track or to local index a column in grouptrack (positive) or track (negative - 1) ''' if col >= cls.innerheaders and col < cls.innerheaders + len(Track.headers): return cls.innerheaders - col - 1 elif col >= cls.innerheaders + len(Track.headers): return col - len(Track.headers) return col @classmethod def translateorder(cls, direction, col): """translate the column number to/from Track if direction then translate to track return < 0 if the col doesn't have counterpart """ if direction: # gt -> t return -1 - cls.translatecol(col) else: # t -> gt return cls.innerheaders + col

30.96748

111

0.593594

442

3,809

5.090498

0.246606

0.017778

0.018667

0.088

0.348444

0.329778

0.256889

0.192889

0.153778

0

0.008432

0.315043

3,809

122

112

31.221311

0.853967

0.18535

0

0.406977

0

0.015

0

1

0.093023

false

0

0.046512

0

0.523256

0

null

0

null

0

1

0

1

2bbc1f15ebca775f3d32d7270961e05f3489946d

1,240

py

Python

usaspending_api/common/tests/test_limitable_serializer.py

truthiswill/usaspending-api

bd7d915442e2ec94cc830c480ceeffd4479be6c0

[ "CC0-1.0" ]

null

usaspending_api/common/tests/test_limitable_serializer.py

truthiswill/usaspending-api

bd7d915442e2ec94cc830c480ceeffd4479be6c0

[ "CC0-1.0" ]

3

2020-02-12T01:16:46.000Z

2021-06-10T20:36:57.000Z

usaspending_api/common/tests/test_limitable_serializer.py

truthiswill/usaspending-api

bd7d915442e2ec94cc830c480ceeffd4479be6c0

[ "CC0-1.0" ]

null

import pytest import json from model_mommy import mommy from usaspending_api.awards.models import Award @pytest.fixture def mock_limitable_data(): mommy.make(Award, _fill_optional=True) @pytest.mark.django_db def test_nested_field_limiting(client, mock_limitable_data): request_object = { "fields": ["piid", "recipient__recipient_name"] } response = client.post( "/api/v1/awards/", content_type='application/json', data=json.dumps(request_object), format='json') results = response.data["results"][0] assert "piid" in results.keys() assert "recipient" in results.keys() assert "recipient_name" in results.get("recipient", {}).keys() @pytest.mark.django_db def test_nested_field_exclusion(client, mock_limitable_data): request_object = { "exclude": ["piid", "recipient__recipient_name"] } response = client.post( "/api/v1/awards/", content_type='application/json', data=json.dumps(request_object), format='json') results = response.data["results"][0] assert "piid" not in results.keys() assert "recipient" in results.keys() assert "recipient_name" not in results.get("recipient").keys()

24.8

66

0.678226

150

1,240

5.393333

0.34

0.066749

0.064277

0.093943

0.76885

0.707046

0.618047

0.529048

0

0.004

0.193548

1,240

49

67

25.306122

0.805

0

0.514286

0

0.183065

0.040323

0

0.171429

1

0.085714

false

0

0.114286

0

0.2

0

null

0

1

0

null

0

1

2bbe4807e1342fac308483071d778e38b6d71f3f

2,959

py

Python

yasql/apps/sqlorders/urls.py

Fanduzi/YaSQL

bc6366a9b1c1e9ed84fd24ea2b4a21f8f99d0af5

[ "Apache-2.0" ]

443

2018-02-08T02:53:48.000Z

2020-10-13T10:01:55.000Z

yasql/apps/sqlorders/urls.py

Fanduzi/YaSQL

bc6366a9b1c1e9ed84fd24ea2b4a21f8f99d0af5

[ "Apache-2.0" ]

27

2020-10-14T10:01:52.000Z

2022-03-12T00:49:47.000Z

yasql/apps/sqlorders/urls.py

Fanduzi/YaSQL

bc6366a9b1c1e9ed84fd24ea2b4a21f8f99d0af5

[ "Apache-2.0" ]

148

2018-03-15T06:07:25.000Z

2020-08-17T14:58:45.000Z

# -*- coding:utf-8 -*- # edit by fuzongfei from django.urls import path from sqlorders import views urlpatterns = [ # SQL工单 path('envs', views.GetDBEnvironment.as_view(), name='v1.sqlorders.db-environment'), path('schemas', views.GetDbSchemas.as_view(), name='v1.sqlorders.db-schemas'), path('incep/syntaxcheck', views.IncepSyntaxCheckView.as_view(), name='v1.sqlorders.incep.syntaxcheck'), path('commit', views.SqlOrdersCommit.as_view(), name='v1.sqlorders.commit'), path('list', views.SqlOrdersList.as_view(), name='v1.sqlorders.list'), path('detail/<str:order_id>', views.SqlOrdersDetail.as_view(), name='v1.sqlorders.detail'), path('op/approve/<int:pk>', views.OpSqlOrderView.as_view({"put": "approve"}), name='v1.sqlorders.approve'), path('op/feedback/<int:pk>', views.OpSqlOrderView.as_view({"put": "feedback"}), name='v1.sqlorders.feedback'), path('op/close/<int:pk>', views.OpSqlOrderView.as_view({"put": "close"}), name='v1.sqlorders.close'), path('op/review/<int:pk>', views.OpSqlOrderView.as_view({"put": "review"}), name='v1.sqlorders.review'), # 生成工单任务 path('tasks/generate', views.GenerateTasksView.as_view(), name='v1.sqlorders.generate-tasks'), path('tasks/get/<str:order_id>', views.GetTaskIdView.as_view(), name='v1.sqlorders.get-task-id'), path('tasks/list/<str:task_id>', views.GetTasksListView.as_view(), name='v1.sqlorders.get-tasks-list'), path('tasks/preview/<str:task_id>', views.GetTasksPreviewView.as_view(), name='v1.sqlorders.get-tasks-preview'), # 执行任务 path('tasks/execute/single', views.ExecuteSingleTaskView.as_view(), name='v1.sqlorders.execute-single-task'), path('tasks/execute/multi', views.ExecuteMultiTasksView.as_view(), name='v1.sqlorders.execute-multi-tasks'), path('tasks/throttle', views.ThrottleTaskView.as_view(), name='v1.sqlorders.throttle-task'), path('tasks/result/<int:id>', views.GetTasksResultView.as_view(), name='v1.sqlorders.get-tasks-result'), # Hook path('hook', views.HookSqlOrdersView.as_view(), name='v1.sqlorders.hook-sqlorders'), # download export files path('export/download/<str:base64_filename>', views.DownloadExportFilesView.as_view(), name='v1.sqlorders.download-export-files'), # 上线版本 path('versions/get', views.ReleaseVersionsGet.as_view(), name='v1.sqlorders.versions.get'), path('versions/list', views.ReleaseVersionsList.as_view(), name='v1.sqlorders.versions.list'), path('versions/create', views.ReleaseVersionsCreate.as_view(), name='v1.sqlorders.versions.create'), path('versions/update/<int:key>', views.ReleaseVersionsUpdate.as_view(), name='v1.sqlorders.versions.update'), path('versions/delete/<int:id>', views.ReleaseVersionsDelete.as_view(), name='v1.sqlorders.versions.delete'), path('versions/view/<str:version>', views.ReleaseVersionsView.as_view(), name='v1.sqlorders.versions.view'), ]

61.645833

114

0.707672

371

2,959

5.560647

0.234501

0.075618

0.189045

0.127969

0.33301

0.251575

0.106156

0

0.01091

0.101724

2,959

47

115

62.957447

0.765237

0.02974

0

0.402865

0.272537

0

1

0

false

0

0.055556

0

0.055556

0

null

0

1

0

null

0

1

2bc59939181c875a61b3f943ea4d563e7976ef42

1,075

py

Python

LAB/05/0530_PyMongo.py

LegenDad/KTM_Lab

09a1671b1dfe9b667008279ef41a959f08babbfc

[ "MIT" ]

null

LAB/05/0530_PyMongo.py

LegenDad/KTM_Lab

09a1671b1dfe9b667008279ef41a959f08babbfc

[ "MIT" ]

null

LAB/05/0530_PyMongo.py

LegenDad/KTM_Lab

09a1671b1dfe9b667008279ef41a959f08babbfc

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu May 31 09:09:26 2018 @author: Jeon """ !pip search pymongo !pip install pymongo import pymongo mgclient = pymongo.MongoClient("localhost", 27017) # check start mogodb (mongod) mgclient.database_names() testdb = mgclient.testdb testdb_col = testdb.items data= { "name":"cola", "pty":5, "price":500} testdb_col.insert(data) testdb.supermarket.insert(data) print(mgclient.database_names()) for doc in testdb.supermarket.find(): print(doc) games heros Tracer userNum tracer = {"games":"Overwatch", "hero":"Tracer", "userNum":8888} testdb.games.insert(tracer) for doc in testdb.games.find(): print(doc) for post in testdb.supermarket.find(): print(post) print(testdb.supermakret.find({"price":500}).count()) print(testdb.supermarket.find({"name":'GS'}).count()) print(testdb.supermarket.find({"pty":1}).count()) print(testdb.supermarket.find({"pty": {"gt":3} }).count()) print(testdb.supermakret.find({"price": {"gt":3} }).count()) for post in testdb.supermakret.find().sort('name'): print(post)

19.545455

63

0.692093

146

1,075

5.068493

0.410959

0.137838

0.141892

0.109459

0.293243

0.091892

0

0.033791

0.11907

1,075

55

64

19.545455

0.747624

0.045581

0

0.137931

0

0.089027

0

null

0

0.034483

null

0.344828

0

null

0

null

0

1

0

1

2bc5fd37e006f771bdbfbce48ca1e4e8865d7cc3

10,285

py

Python

src/animasnd/image.py

N-z0/commonz

275c48ef6aac32f0d809a96e56b0b0c254686747

[ "Unlicense" ]

null

src/animasnd/image.py

N-z0/commonz

275c48ef6aac32f0d809a96e56b0b0c254686747

[ "Unlicense" ]

null

src/animasnd/image.py

N-z0/commonz

275c48ef6aac32f0d809a96e56b0b0c254686747

[ "Unlicense" ]

null

#!/usr/bin/env python3 #coding: utf-8 ### 1st line allows to execute this script by typing only its name in terminal, with no need to precede it with the python command ### 2nd line declaring source code charset should be not necessary but for exemple pydoc request it __doc__ = "provide images support"#information describing the purpose of this module __status__ = "Development"#should be one of 'Prototype' 'Development' 'Production' 'Deprecated' 'Release' __version__ = "3.0.0"# version number,date or about last modification made compared to the previous version __license__ = "public domain"# ref to an official existing License __date__ = "2008"#started creation date / year month day __author__ = "N-zo syslog@laposte.net"#the creator origin of this prog, __maintainer__ = "Nzo"#person who curently makes improvements, replacing the author __credits__ = []#passed mainteners and any other helpers __contact__ = "syslog@laposte.net"# current contact adress for more info about this file ### images modules #import pygame # designed for writing games. (is not specific to images) #import scipy # deprecating image I/O functionality and will be removed ### Pillow was the main library used by Scipy for images. #import imageio # variety of plugins for many images formats. ### Pillow is also the main plugin of imageio for common images ### PIL (Python Image Library) been late adapted on Python3 ### then a fork for Python 3 named Pillow been made ### so Pillow and PIL are almost the same from PIL import Image from PIL import ImageChops from PIL import ImageDraw from PIL import ImageFont from PIL import ImageOps from PIL import ImageFilter ### OpenCV (OpenSource Computer Vision) is available in Debian repo ### But no official OpenCV packages released by OpenCV.org on PyPI ### But on PyPI the not official opencv-contrib-python includes all OpenCV functionality. import cv2 #import cairo # 2D graphics library ### others required modules import numpy # use for exporting image as array ### PIL Image modes: BITMAP_MODE = '1' #1b this binary mode is not respected, pixels values are stored with 0 or 255. GREY_MODE = 'L' #1o shade of grey varies from 0 to 256 LA_MODE = 'LA' # same as L mode with alpha INDEX_MODE = 'P' #1o the number of colors in a palette may vary, it is not always 256 colors, RGB_MODE = 'RGB' #3o true color HSV_MODE = 'HSV' #3o Hue, Saturation, Value RGBA_MODE = 'RGBA' #4o true color with transparency INT_MODE = 'I' #4o(signed integer) why signed ?? anyway, I did not find any image format with this mode FLOAT_MODE = 'F' #4o(floating point) I did not find any image format with this mode. ### resize resample: ### If omitted, or if the image has mode “1” or “P”, it is set PIL.Image.NEAREST. NEAREST=Image.NEAREST# (use nearest pixels neighbour) BILINEAR=Image.BILINEAR# (linear pixels interpolation) BICUBIC=Image.BICUBIC# (cubic spline pixels interpolation) **the most interesting*** LANCZOS=Image.LANCZOS# (a high-quality downsampling pixels filter) ### transpose methods: FLIP_HORIZONTALLY=Image.FLIP_LEFT_RIGHT FLIP_VERTICALLY=Image.FLIP_TOP_BOTTOM ROTATE_90=Image.ROTATE_90 ROTATE_180=Image.ROTATE_180 ROTATE_270=Image.ROTATE_270 TRANSPOSE=Image.TRANSPOSE ### text alignement ALIGN_LEFT="left" ALIGN_CENTER="center" ALIGN_RIGHT="right" ### Direction of the text. ### not supported without libraqm DIR_RTL="rtl" # (right to left) DIR_LTR="ltr" # (left to right) DIR_TTB="ttb" # (top to bottom). Requires libraqm. ### pixel location Indexes X=0 Y=1 ### pixel compo Indexes R=0 G=1 B=2 A=3 ### RGB basics colors RED=(255,0,0) GREEN=(0,255,0) BLUE=(0,0,255) BLACK=(0,0,0) WHITE=(255,255,255) ### disable DecompressionBomb safety #Image.MAX_IMAGE_PIXELS = 200000**2 #Image.warnings.simplefilter('ignore', Image.DecompressionBombWarning) def image_show(imagefile,title=None): """Load and image file and show it in window""" img = cv2.imread(imagefile,cv2.IMREAD_UNCHANGED) cv2.imshow(title,img) cv2.waitKey(0)#display the window infinitely until any keypress. cv2.destroyAllWindows() class Bitmap : """allow bitmap image manipulation""" def __init__(self, mode, size, color): """mode is the format of pixels, size contains x and y image dimension, color concern the image background""" self.img= Image.new( mode, size, color ) #self.filename= self.img.filename #self.size= self.img.size #self.fmt = self.img.format #self.mode = self.img.mode #self.info = self.img.info def get_info(self): """get extra info about the image""" return self.img.info def get_size(self): """get the x,y size of the image""" return self.img.size def get_mode(self): """get image pixel format info""" return self.img.mode def get_colors(self): """return the quantity of pixels for each colors""" return self.img.getcolors() def show(self,title=None): """display the image in new window""" self.img.show(title) def get_pixel(self,position): """get the valu of image pixel""" return self.img.getpixel(position) def set_pixel(self,position,valu): """change the valu of image pixel""" self.img.putpixel(position,valu) def set_alpha(self,alpha): """change the transparency of the image""" self.img.putalpha(alpha) def resize(self,new_size,resample=NEAREST): """resize the image by x,y new size""" self.img = self.img.resize(new_size,resample) def transpose(self,direction): """rotate flip the image FLIP_VERTICALLY adapt image for openGL ROTATE_270 FLIP_VERTICALLY adapt image for numpy array""" self.img = self.img.transpose(direction) def offset(self,offset): """displace the image by x,y pixel move""" self.img= ImageChops.offset(self.img,offset[X],offset[Y]) def crop(self,cut): """cut the image by left,top,right,bottom""" self.img= self.img.crop(cut) def convert(self,mode): """convert image into the given mode""" # ImageOps.grayscale(self.img) = self.img.convert('L') # image.convert(mode='F') # transforms the image values into float, but without putting them between 0.0 and 1.0 self.img= self.img.convert(mode) def save(self,output_path): """save image in default format""" self.save_png(output_path) def save_gif(self,output_path): """save image in .gif format""" self.img.save(output_path) def save_bmp(self,output_path): """save image in .bmp format""" self.img.save(output_path,compression='bmp_rle') def save_tga(self,output_path): """save image in .tga format""" self.img.save(output_path) def save_tiff(self,output_path): """save image in .tif format""" self.img.save(output_path,compression="tiff_deflate") def save_png(self,output_path): """save image in .png format""" self.img.save(output_path,"PNG",optimize=True) def tile(self,scale):#scale mini is (1,1) """repeat the image horizontally and vertically""" new_size=( self.img.size[X]*int(scale[X]) , self.img.size[Y]*int(scale[Y]) ) result = Image.new(self.img.mode,new_size)# create a new image #print(self.img.size,scale) for left in range(0,new_size[X],self.img.size[X]): for top in range(0,new_size[Y],self.img.size[Y]): #print(left, top) result.paste(self.img, (left,top)) self.img= result def get_gl_data(self): """return image data as opengl image""" data = self.img.tobytes("raw",self.img.mode)# tostring() has been removed. Please call tobytes() instead. #data = self.img.getData() return data def get_array(self,tip): """return image data as numpy array""" return numpy.asarray(self.img,dtype=numpy.dtype(tip)) def mask(self,mask_img): """the grey scale mask_img picels are use for set the image transparency""" self.img.putalpha(mask_img.img) def blend(self,other_img,mix_factor=0.5): """no change if mix_factor=0, if mix_factor=1 the image is completly remplaced by the other_img""" self.img= Image.blend(self.img,other_img.img,mix_factor) def compose(self,other_img,alpha_img): """same as blend but instead using mix_factor use alpha pixels valu of alpha_img""" self.img= Image.composite(self.img,other_img.img,alpha_img.img) def overwrite(self,other_img): """write the other image on top of self image""" self.img= Image.alpha_composite(self.img,other_img.img) def smooth(self,qantum): """makes image edges and points less sharp""" for q in range(qantum) : self.img= self.img.filter(ImageFilter.SMOOTH_MORE) #self.img= self.img.filter(ImageFilter.BLUR) class Bitmap_File(Bitmap) : """allow bitmap image file manipulation""" def __init__(self,image_file): """need to provide an image file pathname""" img = Image.open(image_file) ### Verifies the contents of a file. without decoding the image data. If any problems raises exceptions. img.verify() ### after using image.verify(), need to reopen the image file. self.img = Image.open(image_file) class Bitmap_Text(Bitmap) : """allow to write text in bitmap""" def __init__(self,font_name,font_size,background_color,text_color,contour_color,contour_size): """need to provide an text data""" self.font = ImageFont.truetype(font=font_name,size=font_size) self.background_color=background_color self.text_color=text_color self.contour_color=contour_color self.contour_size=contour_size self.img = Image.new ( RGBA_MODE,(1,1),background_color ) def write(self,text,dir,align,spacing): """create the appropriate image to write in a text with the font specified previously""" total_size=[0,0] quantum=0 for line in text.splitlines(): line_size= self.font.getsize(line) total_size[X]=max(total_size[X],line_size[X]) total_size[Y]+=line_size[Y] quantum+=1 #print(line_size,total_size) total_size[X]+=self.contour_size*2 total_size[Y]+=self.contour_size*2 + (quantum-1)*spacing #other_total_size=ImageDraw.textsize(text,font=self.font,spacing=spacing,direction=dir,stroke_width=self.contour_size) #print(other_total_size,total_size) self.img = Image.new( RGBA_MODE,total_size,self.background_color ) draw = ImageDraw.Draw( self.img ) draw.text((self.contour_size,self.contour_size),text,font=self.font,fill=self.text_color,spacing=spacing,direction=dir,align=align)#,stroke_width=self.contour_size,stroke_fill=self.contour_color )

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3,752

py

Python

python/ts/flint/utils.py

mattomatic/flint

ee1dc08b5a7f2c84e41bfbc7a02e069d23d02c72

[ "Apache-2.0" ]

972

2016-10-25T20:56:50.000Z

2022-03-23T06:05:59.000Z

python/ts/flint/utils.py

mattomatic/flint

ee1dc08b5a7f2c84e41bfbc7a02e069d23d02c72

[ "Apache-2.0" ]

66

2016-11-02T15:27:35.000Z

2022-02-15T16:48:48.000Z

python/ts/flint/utils.py

jaewanbahk/flint

eda21faace03ed90258d1008071e9ac7033f5f48

[ "Apache-2.0" ]

218

2016-11-04T11:03:24.000Z

2022-01-21T21:31:59.000Z

# # Copyright 2017 TWO SIGMA OPEN SOURCE, 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. # _UNIT_TO_JUNIT = { "s": "SECONDS", "ms": "MILLISECONDS", "us": "MICROSECONDS", "ns": "NANOSECONDS" } def jsc(sc): """Returns the underlying Scala SparkContext :param sc: SparkContext :return: :class:`py4j.java_gateway.JavaObject` (org.apache.spark.SparkContext) """ return sc._jsc.sc() def jvm(sc): """Returns the Pyspark JVM handle :param sc: SparkContext :return: :class:`py4j.java_gateway.JavaView ` """ return sc._jvm def scala_object(jpkg, obj): return jpkg.__getattr__(obj + "$").__getattr__("MODULE$") def scala_package_object(jpkg): return scala_object(jpkg, "package") def pyutils(sc): """Returns a handle to ``com.twosigma.flint.rdd.PythonUtils`` :param sc: SparkContext :return: :class:`py4j.java_gateway.JavaPackage` (com.twosigma.flint.rdd.PythonUtils) """ return jvm(sc).com.twosigma.flint.rdd.PythonUtils def copy_jobj(sc, obj): """Returns a Java object ``obj`` with an additional reference count :param sc: Spark Context :param obj: :class:`py4j.java_gateway.JavaObject` :return: ``obj`` (:class:`py4j.java_gateway.JavaObject`) with an additional reference count """ return pyutils(sc).makeCopy(obj) def to_list(lst): """Make sure the object is wrapped in a list :return: a ``list`` object, either lst or lst in a list """ if isinstance(lst, str): lst = [lst] elif not isinstance(lst, list): try: lst = list(lst) except TypeError: lst = [lst] return lst def list_to_seq(sc, lst, preserve_none=False): """Shorthand for accessing PythonUtils Java Package If lst is a Python None, returns a None or empty Scala Seq (depending on preserve_none) If lst is a Python object, such as str, returns a Scala Seq containing the object If lst is a Python tuple/list, returns a Scala Seq containing the objects in the tuple/list :return: A copy of ``lst`` as a ``scala.collection.Seq`` """ if lst is None: if preserve_none: return None else: lst = [] return jvm(sc).org.apache.spark.api.python.PythonUtils.toSeq(to_list(lst)) def py_col_to_scala_col(sc, py_col): converters = { list: list_to_seq, tuple: list_to_seq } convert = converters.get(type(py_col)) if convert: return convert(sc, py_col) else: return py_col def junit(sc, unit): """Converts a Pandas unit to scala.concurrent.duration object :return: Scala equivalent of ``unit`` as ``scala.concurrent.duration object`` """ if unit not in _UNIT_TO_JUNIT: raise ValueError("unit must be in {}".format(_UNIT_TO_JUNIT.keys())) return scala_package_object(jvm(sc).scala.concurrent.duration).__getattr__(_UNIT_TO_JUNIT[unit])() def jschema(sc, schema): """Converts a Python schema (StructType) to a Scala schema ``org.apache.spark.sql.types.StructType`` :return: :class:``org.apache.spark.sql.types.StructType`` """ import json return jvm(sc).org.apache.spark.sql.types.StructType.fromString(json.dumps(schema.jsonValue))

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0

null

0

null

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1

0

1

2bdb91041eec35c1c58197d76e4a723d39aceee0

18,798

py

Python

ttbd/ttbl/quartus.py

inakypg/tcf

569e21b25c8ee72ebad0c80d0a7de0714411185f

[ "Apache-2.0" ]

1

2018-08-31T06:48:14.000Z

ttbd/ttbl/quartus.py

inakypg/tcf

569e21b25c8ee72ebad0c80d0a7de0714411185f

[ "Apache-2.0" ]

null

ttbd/ttbl/quartus.py

inakypg/tcf

569e21b25c8ee72ebad0c80d0a7de0714411185f

[ "Apache-2.0" ]

null

#! /usr/bin/python3 # # Copyright (c) 2021 Intel Corporation # # SPDX-License-Identifier: Apache-2.0 # import copy import os import subprocess import commonl import ttbl import ttbl.images import ttbl.power class pgm_c(ttbl.images.flash_shell_cmd_c): """Flash using Intel's Quartus PGM tool This allows to flash images to an Altera MAX10, using the Quartus tools, freely downloadable from https://www.intel.com/content/www/us/en/collections/products/fpga/software/downloads.html?s=Newest Exports the following interfaces: - power control (using any AC power switch, such as the :class:`Digital Web Power Switch 7 <ttbl.pc.dlwps7>`) - serial console - image (in hex format) flashing (using the Quartus Prime tools package) Multiple instances at the same time are supported; however, due to the JTAG interface not exporting a serial number, addressing has to be done by USB path, which is risky (as it will change when the cable is plugged to another port or might be enumerated in a different number). :param str usb_serial_number: USB serial number of the USB device to use (USB-BlasterII or similar) :param dict image_map: :param str name: (optiona; default 'Intel Quartus PGM #<DEVICEID>') instrument's name. :param dict args: (optional) dictionary of extra command line options to *quartus_pgm*; these are expanded with the target keywords with *%(FIELD)s* templates, with fields being the target's :ref:`metadata <finding_testcase_metadata>`: FIXME: move to common flash_shell_cmd_c :param dict jtagconfig: (optional) jtagconfig --setparam commands to run before starting. These are expanded with the target keywords with *%(FIELD)s* templates, with fields being the target's :ref:`metadata <finding_testcase_metadata>` and then run as:: jtagconfig --setparam CABLENAME KEY VALUE :param int tcp_port: (optional, default *None*) if a TCP port number is given, it is a assumed the flashing server is in localhost in the given TCP port. :param str sibling_serial_number (optional, default *None*) USB serial number of the USB device that is a sibling to the one defined by usb_serial_number :param int usb_port (optional, default *None*) port that the USB device is connected to, used in combination with sibling_serial_number to find the USB path for devices that do not have unique serial numbers (USB Blaster I) Other parameters described in :class:ttbl.images.impl_c. **Command line reference** https://www.intel.com/content/dam/www/programmable/us/en/pdfs/literature/manual/tclscriptrefmnl.pdf Section Quartus_PGM (2-50) **System setup** - Download and install Quartus Programmer:: $ wget http://download.altera.com/akdlm/software/acdsinst/20.1std/711/ib_installers/QuartusProgrammerSetup-20.1.0.711-linux.run # chmod a+x QuartusProgrammerSetup-20.1.0.711-linux.run # ./QuartusProgrammerSetup-20.1.0.711-linux.run --unattendedmodeui none --mode unattended --installdir /opt/quartus --accept_eula 1 - if installing to a different location than */opt/quartus*, adjust the value of :data:`path` in a FIXME:ttbd configuration file. **Troubleshooting** When it fails to flash, the error log is reported in the server in a file called *flash-COMPONENTS.log* in the target's state directory (FIXME: we need a better way for this--the admin shall be able to read it, but not the users as it might leak sensitive information?). Common error messages: - *Error (213019): Can't scan JTAG chain. Error code 87* Also seen when manually running in the server:: $ /opt/quartus/qprogrammer/bin/jtagconfig 1) USB-BlasterII [3-1.4.4.3] Unable to read device chain - JTAG chain broken In many cases this has been: - a powered off main board: power it on - a misconnected USB-BlasterII: reconnect properly - a broken USB-BlasterII: replace unit - *Error (209012): Operation failed* this usually happens when flashing one component of a multiple component chain; the log might read something like:: Info (209060): Started Programmer operation at Mon Jul 20 12:05:22 2020 Info (209017): Device 2 contains JTAG ID code 0x038301DD Info (209060): Started Programmer operation at Mon Jul 20 12:05:22 2020 Info (209016): Configuring device index 2 Info (209017): Device 2 contains JTAG ID code 0x018303DD Info (209007): Configuration succeeded -- 1 device(s) configured Info (209011): Successfully performed operation(s) Info (209061): Ended Programmer operation at Mon Jul 20 12:05:22 2020 Error (209012): Operation failed Info (209061): Ended Programmer operation at Mon Jul 20 12:05:22 2020 Error: Quartus Prime Programmer was unsuccessful. 1 error, 0 warnings This case has been found to be because the **--bgp** option is needed (which seems to map to the *Enable Realtime ISP programming* in the Quartus UI, *quartus_pgmw*) - *Warning (16328): The real-time ISP option for Max 10 is selected. Ensure all Max 10 devices being programmed are in user mode when requesting this programming option* Followed by: *Error (209012): Operation failed* This case comes when a previous flashing process was interrupted half way or the target is corrupted. It needs a special one-time recovery; currently the workaround seems to run the flashing with out the *--bgp* switch that as of now is hardcoded. FIXME: move the --bgp and --mode=JTAG switches to the args (vs hardcoded) so a recovery target can be implemented as NAME-nobgp *Using Quartus tool with a remote jtagd* The service port for *jtagd* can be tunneled in and used by the Quartus toolsuite:: $ tcf property-get r013s001 interfaces.power.jtagd.tcp_port 5337 $ tcf power-on -c jtagd TARGET $ tcf tunnel-add TARGET 5337 tcp 127.0.01 SERVERNAME:1234 Now the Quartus Qprogrammer tools need to be told which server to add:: $ jtagdconfig --addserver SERVERNAME:1234 "" (second entry is an empty password); this adds an entry to *~/.jtagd.conf*:: # /home/USERNAME/.jtag.conf Remote1 { Host = "SERVERNAME:1234"; Password = ""; } Note the port number changes with each tunnel, you will have to *jtagconfig --addserver* and delete the old one (you can edit the file by hand too). Now list remote targets:: $ jtagconfig 1) USB-BlasterII on SERVERNAME:1234 [3-1.4.1] 031050DD 10M50DA(.|ES)/10M50DC 031040DD 10M25D(A|C) Note this connection is open to anyone until the tunnel is removed or the allocation is released with *tcf alloc-rm* or equivalent. *PENDING* use SSL to secure access. [ see also for the Quartus GUI, follow https://www.intel.com/content/www/us/en/programmable/quartushelp/13.0/mergedProjects/program/pgm/pgm_pro_add_server.htm ] **Quartus Lite** Download from https://www.intel.com/content/www/us/en/software-kit/684215/intel-quartus-prime-lite-edition-design-software-version-21-1-for-linux.html? Install with:: $ tar xf Quartus-lite-21.1.0.842-linux.tar $ cd components $ chmod a+x ./Quartus-lite-21.1.0.842-linux.tar $ ./Quartus-lite-21.1.0.842-linux.tar Quartus will use the same *~/.jtagd.conf* if you have used *jtagconfig* to configure as above 1. Start Quartus:: $ INSTALLPATH/intelFPGA_lite/21.1/quartus/bin/quartus 2. Go to Programmer > Edit > Hardware Setup 3. Click on *Add Hardware* 4. Enter as *Server Name* and *Server Port* the name of the server that is doing the tunnel (as printed by *tcf tunnel-add* above); leave the password blank. 5. Click *OK* **Troubleshooting** - can't connect to port:: $ ./jtagconfig 1) Remote server SERVERNAME:1234: Unable to connect - ensure jtagd in the target is on - ensure the tunnel is on """ #: Path to *quartus_pgm* #: #: We need to use an ABSOLUTE PATH if the tool is not in the #: normal search path (which usually won't). #: #: Change by setting, in a :ref:`server configuration file #: <ttbd_configuration>`: #: #: >>> ttbl.quartus.pgm_c.path = "/opt/quartus/qprogrammer/bin/quartus_pgm" #: #: or for a single instance that then will be added to config: #: #: >>> imager = ttbl.quartus.pgm_c(...) #: >>> imager.path = "/opt/quartus/qprogrammer/bin/quartus_pgm" path = "/opt/quartus/qprogrammer/bin/quartus_pgm" path_jtagconfig = "/opt/quartus/qprogrammer/bin/jtagconfig" def __init__(self, usb_serial_number, image_map, args = None, name = None, jtagconfig = None, tcp_port = None, sibling_serial_number = None, usb_port = None, **kwargs): assert isinstance(usb_serial_number, str) commonl.assert_dict_of_ints(image_map, "image_map") commonl.assert_none_or_dict_of_strings(jtagconfig, "jtagconfig") assert name == None or isinstance(name, str) assert tcp_port == None or isinstance(tcp_port, int) self.usb_serial_number = usb_serial_number self.tcp_port = tcp_port self.image_map = image_map self.jtagconfig = jtagconfig self.sibling_serial_number = sibling_serial_number self.usb_port = usb_port if args: commonl.assert_dict_of_strings(args, "args") self.args = args else: self.args = {} cmdline = [ "stdbuf", "-o0", "-e0", "-i0", self.path, # FIXME: move this to args, enable value-less args (None) "--bgp", # Real time background programming "--mode=JTAG", # this is a JTAG # when using a server, if the target is called # SOMETHING in SERVERNAME:PORT CABLENAME, it seems PGM # goes straight there. Weird "-c", "%(device_path)s", # will resolve in flash_start() # in flash_start() call we'll map the image names to targets # to add these # #'--operation=PVB;%(image.NAME)s@1', #'--operation=PVB;%(image.NAME)s@2', #... # (P)rogram (V)erify, (B)lank-check # # note like this we can support burning multiple images into the # same chain with a single call ] if args: for arg, value in args.items(): if value != None: cmdline += [ arg, value ] # we do this because in flash_start() we need to add # --operation as we find images we are supposed to flash self.cmdline_orig = cmdline ttbl.images.flash_shell_cmd_c.__init__(self, cmdline, cwd = '%(file_path)s', **kwargs) if name == None: self.name = "quartus" self.upid_set( f"Intel Quartus PGM @ USB#{usb_serial_number}", usb_serial_number = usb_serial_number) def flash_start(self, target, images, context): # Finalize preparing the command line for flashing the images # find the device path; quartus_pgm doesn't seem to be able to # address by serial and expects a cable name as 'PRODUCT NAME # [PATH]', like 'USB BlasterII [1-3.3]'; we can't do this on # object creation because the USB path might change when we power # it on/off (rare, but could happen). Since USB Blaster I do not # have unique serial numbers we use a combination of usb_port # and sibling_serial_number to find the correct usb_path if self.usb_port != None: usb_path, _vendor, product = ttbl.usb_serial_to_path( self.sibling_serial_number, self.usb_port) else: usb_path, _vendor, product = ttbl.usb_serial_to_path( self.usb_serial_number) if self.tcp_port: # server based cable name device_path = f"{product} on localhost:{self.tcp_port} [{usb_path}]" jtag_config_filename = f"{target.state_dir}/jtag-{'_'.join(images.keys())}.conf" # Create the jtag client config file to ensure that # the correct jtag daemon is connected to, then use the # environment variable QUARTUS_JTAG_CLIENT_CONFIG to have # the quartus software find it with open(jtag_config_filename, "w+") as jtag_config: jtag_config.write( f'ReplaceLocalJtagServer = "localhost:{self.tcp_port}";') self.env_add["QUARTUS_JTAG_CLIENT_CONFIG"] = jtag_config_filename else: # local cable name, starts sever on its own device_path = f"{product} [{usb_path}]" context['kws'] = { # HACK: we assume all images are in the same directory, so # we are going to cwd there (see in __init__ how we set # cwd to %(file_path)s. Reason is some of our paths might # include @, which the tool considers illegal as it uses # it to separate arguments--see below --operation 'file_path': os.path.dirname(list(images.values())[0]), 'device_path': device_path, # flash_shell_cmd_c.flash_start() will add others } # for each image we are burning, map it to a target name in # the cable (@NUMBER) # make sure we don't modify the originals cmdline = copy.deepcopy(self.cmdline_orig) for image_type, filename in images.items(): target_index = self.image_map.get(image_type, None) # pass only the realtive filename, as we are going to # change working dir into the path (see above in # context[kws][file_path] cmdline.append("--operation=PVB;%s@%d" % ( os.path.basename(filename), target_index)) # now set it for flash_shell_cmd_c.flash_start() self.cmdline = cmdline if self.jtagconfig: for option, value in self.jtagconfig.items(): cmdline = [ self.path_jtagconfig, "--addserver", f"localhost:{self.tcp_port}", "", # empty password "--setparam", device_path, option, value ] target.log.info("running per-config: %s" % " ".join(cmdline)) subprocess.check_output( cmdline, shell = False, stderr = subprocess.STDOUT) ttbl.images.flash_shell_cmd_c.flash_start(self, target, images, context) class jtagd_c(ttbl.power.daemon_c): """Driver for the jtag daemon This driver starts the jtag daemon on the server for a specific USB Blaster II Does not override any of the default methods except for verify **Arugments** :param str usb_serial_number: serial number of the USB Blaster II :param int tcp_port: (1024 - 65536) Number of the TCP port on localhost where the daemon will listen :param str jtagd_path: (optional) orverride :data:`jtagd_path`; :param str explicit: (optional; default *off*) control when this is started on/off: - *None*: for normal behaviour; component will be powered-on/started with the whole power rail - *both*: explicit for both powering on and off: only power-on/start and power-off/stop if explicity called by name - *on*: explicit for powering on: only power-on/start if explicity powered on by name, power off normally - *off*: explicit for powering off: only power-off/stop if explicity powered off by name, power on normally By default it is set to *off*, so that when the target is powere off existing network connections to the daemon are maintained. Any other arguments as taken by :class:ttbl.power.daemon_c and :class:ttbl.power.impl_c. """ jtagd_path = "/opt/quartus/qprogrammer/bin/jtagd" def __init__(self, usb_serial_number, tcp_port, jtagd_path = None, check_path = None, explicit = "off", **kwargs): assert isinstance(usb_serial_number, str), \ "usb_serial_number: expected a string, got %s" % type(usb_serial_number) assert isinstance(tcp_port, int), \ "tcp_port: expected an integer between 1024 and 65536, got %s" \ % type(usb_serial_number) if jtagd_path: self.jtagd_path = jtagd_path assert isinstance(self.jtagd_path, str), \ "openipc_path: expected a string, got %s" % type(jtagd_path) self.usb_serial_number = usb_serial_number self.tcp_port = tcp_port cmdline = [ self.jtagd_path, "--no-config", "--auto-detect-filter", usb_serial_number, "--port", str(tcp_port), "--debug", "--foreground", ] ttbl.power.daemon_c.__init__( self, cmdline, precheck_wait = 0.5, mkpidfile = True, name = "jtagd", explicit = explicit, # ...linux64/jtagd renames itself to jtagd and it makes it hard to kill path = "jtagd", check_path = "/opt/quartus/qprogrammer/linux64/jtagd", **kwargs) # Register the instrument like this, so it matches pgm_c and # others and they all point to the same instrument self.upid_set( f"Intel Quartus PGM @ USB#{usb_serial_number}", usb_serial_number = usb_serial_number) def target_setup(self, target, iface_name, component): target.fsdb.set(f"interfaces.{iface_name}.{component}.tcp_port", self.tcp_port) #Set the local ports that is able to be reached via tunneling target.tunnel.allowed_local_ports.add(("127.0.0.1", "tcp", self.tcp_port)) ttbl.power.daemon_c.target_setup(self, target, iface_name, component) def verify(self, target, component, cmdline_expanded): pidfile = os.path.join(target.state_dir, component + "-jtagd.pid") return commonl.process_alive(pidfile, self.check_path) \ and commonl.tcp_port_busy(self.tcp_port) def on(self, target, component): return ttbl.power.daemon_c.on(self, target, component)

37.899194

155

0.641132

2,563

18,798

4.601249

0.25595

0.033579

0.030527

0.010684

0.200543

0.171797

0.135928

0.096922

0.079793

0.069024

0

0.02606

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18,798

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37.975758

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0.607033

0

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0

0.140263

0.066879

0

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0.068182

1

0.045455

false

0

0.05303

0.007576

0.151515

0

null

0

null

0

1

0

1

2bdcbb9196f7ddd57e7b4ad584ef8f3fd81fbbd6

565

py

Python

delivery/delivery/exts/cli/__init__.py

all0cer/flask

a72bee18fd8d4ccf0f16e0e637f7e0b1779e7d85

[ "Unlicense" ]

null

delivery/delivery/exts/cli/__init__.py

all0cer/flask

a72bee18fd8d4ccf0f16e0e637f7e0b1779e7d85

[ "Unlicense" ]

null

delivery/delivery/exts/cli/__init__.py

all0cer/flask

a72bee18fd8d4ccf0f16e0e637f7e0b1779e7d85

[ "Unlicense" ]

null

from enum import Flag import click from delivery.exts.db import db from delivery.exts.db import models def init_app(app): @app.cli.command() def create_db(): db.create_all() @app.cli.command() @click.option("--email", "-e") @click.option("--passwd", "-p") @click.option("--admin", "-a", is_flag=True, default=False) def add_new_user(email, passwd, admin): user = User( email = email, passwd = passwd, admin = admin ) db.session.add(user) db.session.commit()

23.541667

63

0.576991

73

565

4.383562

0.438356

0.103125

0.1

0.1125

0.15

0

0.274336

565

24

64

23.541667

0.780488

0

0.1

0

0.04947

0

1

0.15

false

0.15

0.2

0

0.35

0

null

0

null

0

1

0

1

2bf2e3db2a5c23652d59aea6af613c4b44bec6ab

948

py

Python

Medium/54_spiralOrder.py

a-shah8/LeetCode

a654e478f51b2254f7b49055beba6b5675bc5223

[ "MIT" ]

1

2021-06-02T15:03:41.000Z

Medium/54_spiralOrder.py

a-shah8/LeetCode

a654e478f51b2254f7b49055beba6b5675bc5223

[ "MIT" ]

null

Medium/54_spiralOrder.py

a-shah8/LeetCode

a654e478f51b2254f7b49055beba6b5675bc5223

[ "MIT" ]

null

class Solution: def spiralOrder(self, matrix: List[List[int]]) -> List[int]: result = [] rows, columns = len(matrix), len(matrix[0]) up = left = 0 right = columns-1 down = rows-1 while len(result) < rows*columns: for col in range(left, right+1): result.append(matrix[up][col]) for row in range(up+1, down+1): result.append(matrix[row][right]) if up != down: for col in range(right-1, left-1, -1): result.append(matrix[down][col]) if left != right: for row in range(down-1, up, -1): result.append(matrix[row][left]) up += 1 down -= 1 left += 1 right -= 1 return result

29.625

64

0.405063

101

948

3.80198

0.267327

0.072917

0.135417

0.197917

0.114583

0

0.03272

0.484177

948

31

65

30.580645

0.752556

0

1

0.043478

false

0

0.130435

0

null

0

1

0

null

0

1

2bf566fec30c9deeff3c69426f515c5625a28010

1,661

py

Python

scripts/run-and-rename.py

mfs6174/Deep6174

92e2ceb48134e0cf003f130aef8d838a7a16c27d

[ "Apache-2.0" ]

null

scripts/run-and-rename.py

mfs6174/Deep6174

92e2ceb48134e0cf003f130aef8d838a7a16c27d

[ "Apache-2.0" ]

null

scripts/run-and-rename.py

mfs6174/Deep6174

92e2ceb48134e0cf003f130aef8d838a7a16c27d

[ "Apache-2.0" ]

null

#!/usr/bin/env python2 # -*- coding: UTF-8 -*- # File: run-and-rename.py # Date: Thu Sep 18 15:43:36 2014 -0700 # Author: Yuxin Wu <ppwwyyxxc@gmail.com> import numpy as np from scipy.misc import imread, imsave from itertools import izip import sys, os import shutil import os.path import glob if len(sys.argv) != 3: print "Usage: {0} <input directory with images> <model>".format(sys.argv[0]) sys.exit(0) sys.path.insert(0, os.path.realpath(os.path.join(os.path.dirname(__file__), '../'))) from network_runner import NetworkRunner, get_nn from lib.imageutil import get_image_matrix from dataio import read_data from lib.progress import Progressor input_dir = sys.argv[1] output_dir = os.path.join(input_dir, 'predicted') shutil.rmtree(output_dir, ignore_errors=True) os.mkdir(output_dir) print "Reading images from {0}".format(input_dir) print "Writing predicted results to {0}".format(output_dir) model_file = sys.argv[2] nn = get_nn(model_file) print "Running network with model {0}".format(model_file) # Run the network against a directory of images, # and put predicted label in the filename tot, corr = 0, 0 for f in glob.glob(input_dir + '/*'): if not os.path.isfile(f): continue img = imread(f) / 255.0 pred = nn.predict(img) label = f.split('-')[-1].split('.')[0] new_fname = "{:04d}:{}-{},{}.png".format(tot, label, pred[0], ''.join(map(str, pred[1:]))) imsave(os.path.join(output_dir, new_fname), img) tot += 1 corr += label == ''.join(map(str, pred[1:1+pred[0]])) if tot > 0 and tot % 1000 == 0: print "Progress:", tot print corr, tot

27.229508

84

0.665262

265

1,661

4.075472

0.441509

0.038889

0.027778

0.025926

0.027778

0

0.036846

0.183022

1,661

60

85

27.683333

0.759027

0.138471

0

0.124648

0

null

0

0.282051

null

0.153846

0

null

0

null

0

1

0

1

2bf7cbd3af3aad19347edaabc6dc3814ebd7e30c

950

py

Python

wk8_hw/ex3_create_2_new_devs.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

1

2016-03-01T14:39:17.000Z

wk8_hw/ex3_create_2_new_devs.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

null

wk8_hw/ex3_create_2_new_devs.py

philuu12/PYTHON_4_NTWK_ENGRS

ac0126ed687a5201031a6295d0094a536547cb92

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ 3. Create two new test NetworkDevices in the database. Use both direct object creation and the .get_or_create() method to create the devices. """ from net_system.models import NetworkDevice import django def main(): django.setup() brocade_rtr1 = NetworkDevice( device_name='Brocade-rtr1', device_type='fc_san', ip_address='50.76.53.28', port=8022, ) hp_sw1 = NetworkDevice( device_name='HP-sw1', device_type='stratus', ip_address='50.76.53.29', port=8022, ) # Save new device information in database brocade_rtr1.save() hp_sw1.save() # Print out devices just added for a_dev in (brocade_rtr1, hp_sw1): print a_dev print "Display devices in the database" devices = NetworkDevice.objects.all() for a_device in devices: print a_device.device_name if __name__ == "__main__": main()

22.093023

71

0.649474

129

950

4.55814

0.511628

0.07483

0.044218

0.05102

0

0.046414

0.251579

950

42

72

22.619048

0.780591

0.093684

0

0.076923

0

0.130127

0

null

0

0.076923

null

0.115385

0

null

0

null

0

1

0

1

2bf99724df5b4e9cffb019d5c688ef19980283e0

4,545

py

Python

applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/methodDefs_momentEstimator/updateCombinedPowerSums.py

HubertBalcerzak/Kratos

c15689d53f06dabb36dc44c13eeac73d3e183916

[ "BSD-4-Clause" ]

null

applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/methodDefs_momentEstimator/updateCombinedPowerSums.py

HubertBalcerzak/Kratos

c15689d53f06dabb36dc44c13eeac73d3e183916

[ "BSD-4-Clause" ]

null

applications/MultilevelMonteCarloApplication/external_libraries/XMC/xmc/methodDefs_momentEstimator/updateCombinedPowerSums.py

HubertBalcerzak/Kratos

c15689d53f06dabb36dc44c13eeac73d3e183916

[ "BSD-4-Clause" ]

null

# Import PyCOMPSs # from exaqute.ExaquteTaskPyCOMPSs import * # to execute with runcompss # from exaqute.ExaquteTaskHyperLoom import * # to execute with the IT4 scheduler from exaqute.ExaquteTaskLocal import * # to execute with python3 def updatePowerSumsOrder1Dimension0(): pass @ExaquteTask(samples={Type: COLLECTION_IN, Depth: 4},returns=1) def updatePowerSumsOrder1Dimension0_Task(samples,*args): return updatePowerSumsOrder1Dimension0(samples,*args) def updatePowerSumsOrder2Dimension0(old_sample_counter,samples,power_sum_1,power_sum_2): sample_counter = old_sample_counter if (type(samples) is tuple): samples = [samples] for i in range (len(samples)): sample = samples[i][0] if (power_sum_1 == None): power_sum_1 = sample[0][0] power_sum_2 = sample[1][0] sample_counter = sample_counter + sample[-1] else: power_sum_1 = power_sum_1 + sample[0][0] power_sum_2 = power_sum_2 + sample[1][0] sample_counter = sample_counter + sample[-1] return sample_counter,power_sum_1,power_sum_2 @ExaquteTask(samples={Type: COLLECTION_IN, Depth: 4},returns=3) def updatePowerSumsOrder2Dimension0_Task(counter,samples,*args): return updatePowerSumsOrder2Dimension0(counter,samples,*args) def updatePowerSumsOrder10Dimension0(old_sample_counter,samples,power_sum_1,power_sum_2,power_sum_3,power_sum_4,power_sum_5,power_sum_6,power_sum_7,power_sum_8,power_sum_9,power_sum_10): sample_counter = old_sample_counter if (type(samples) is tuple): samples = [samples] for i in range (len(samples)): sample = samples[i][0] if (power_sum_1 == None): power_sum_1 = sample[0][0] power_sum_2 = sample[1][0] power_sum_3 = sample[2][0] power_sum_4 = sample[3][0] power_sum_5 = sample[4][0] power_sum_6 = sample[5][0] power_sum_7 = sample[6][0] power_sum_8 = sample[7][0] power_sum_9 = sample[8][0] power_sum_10 = sample[9][0] sample_counter = sample_counter + sample[-1] else: power_sum_1 = power_sum_1 + sample[0][0] power_sum_2 = power_sum_2 + sample[1][0] power_sum_3 = power_sum_3 + sample[2][0] power_sum_4 = power_sum_4 + sample[3][0] power_sum_5 = power_sum_5 + sample[4][0] power_sum_6 = power_sum_6 + sample[5][0] power_sum_7 = power_sum_7 + sample[6][0] power_sum_8 = power_sum_8 + sample[7][0] power_sum_9 = power_sum_9 + sample[8][0] power_sum_10 = power_sum_10 + sample[9][0] sample_counter = sample_counter + sample[-1] return sample_counter,power_sum_1,power_sum_2,power_sum_3,power_sum_4,power_sum_5,power_sum_6,power_sum_7,power_sum_8,power_sum_9,power_sum_10 @ExaquteTask(samples={Type: COLLECTION_IN, Depth: 4},returns=11) def updatePowerSumsOrder10Dimension0_Task(counter,samples,*args): return updatePowerSumsOrder10Dimension0(counter,samples,*args) def updatePowerSumsOrder2Dimension1(old_sample_counter,samples,power_sum_upper_1,power_sum_lower_1,power_sum_upper_2,power_sum_lower_2): sample_counter = old_sample_counter if (type(samples) is tuple): samples = [samples] for i in range (len(samples)): sample_upper = samples[i][0] if (type(samples[i][1]) is list): # index > 0 sample_lower = samples[i][1] else: # index == 0 sample_lower = [[0.0],[0.0]] if (power_sum_upper_1 == None): power_sum_upper_1 = sample_upper[0][0] power_sum_upper_2 = sample_upper[1][0] power_sum_lower_1 = sample_lower[0][0] power_sum_lower_2 = sample_lower[1][0] sample_counter = sample_counter + sample_upper[-1] else: power_sum_upper_1 = power_sum_upper_1 + sample_upper[0][0] power_sum_upper_2 = power_sum_upper_2 + sample_upper[1][0] power_sum_lower_1 = power_sum_lower_1 + sample_lower[0][0] power_sum_lower_2 = power_sum_lower_2 + sample_lower[1][0] sample_counter = sample_counter + sample_upper[-1] return sample_counter,power_sum_upper_1,power_sum_lower_1,power_sum_upper_2,power_sum_lower_2 @ExaquteTask(samples={Type: COLLECTION_IN, Depth: 4},returns=5) def updatePowerSumsOrder2Dimension1_Task(counter,samples,*args): return updatePowerSumsOrder2Dimension1(counter,samples,*args)

46.85567

186

0.678768

647

4,545

4.400309

0.094281

0.233228

0.082192

0.0281

0.72111

0.691605

0.671935

0.638918

0.496663

0

0.058458

0.220902

4,545

96

187

47.34375

0.745552

0.046205

0

0.404762

0

1

0.095238

false

0.011905

0.047619

0.190476

0

null

1

0

null

0

1

2bfae8e287502bfa4fa79da3660a8aed6860e04e

598

py

Python

lista02Exec01.py

marcelocmedeiros/PrimeiraAvalaizcaoPython

6390505530fc4f9acef2e3b93944547a3685d611

[ "MIT" ]

null

lista02Exec01.py

marcelocmedeiros/PrimeiraAvalaizcaoPython

6390505530fc4f9acef2e3b93944547a3685d611

[ "MIT" ]

null

lista02Exec01.py

marcelocmedeiros/PrimeiraAvalaizcaoPython

6390505530fc4f9acef2e3b93944547a3685d611

[ "MIT" ]

null

#MARCELO CAMPOS DE MEDEIROS #ADS UNIFIP P1 2020 #LISTA 02 ''' 1- Faça um programa que solicite ao usuário o valor do litro de combustível (ex. 4,75) e quanto em dinheiro ele deseja abastecer (ex. 50,00). Calcule quantos litros de combustível o usuário obterá com esses valores. ''' valor_gas = float(input('Qual o valor do combustível?R$ ')) num = float(input('Qual o valor que deseja abastecer?R$ ')) valor_tot = num / valor_gas print('-=' * 35) print(f'O valor abastecido foi R${num:.2f} e a quantidade de combustivél é {valor_tot:.2f}l.') print('-=' * 35) print(' OBRIGADO, VOLTE SEMPRE! ')

33.222222

94

0.714047

100

598

4.23

0.63

0.056738

0.037825

0.070922

0.094563

0

0.041916

0.162207

598

17

95

35.176471

0.802395

0.448161

0

0.285714

0

0.142857

0.571875

0

1

0

false

0

0.571429

0

null

0

null

0

1

0

1

2bff57af33ceaea8237514bf259d6354d7c86834

8,203

py

Python

spiders/spider.py

gt11799/xueqiu_spider

72be1a983e3b648b902f12475fb914add7bd45e7

[ "MIT" ]

6

2016-09-08T07:30:42.000Z

2021-02-03T18:20:03.000Z

spiders/spider.py

gt11799/xueqiu_spider

72be1a983e3b648b902f12475fb914add7bd45e7

[ "MIT" ]

null

spiders/spider.py

gt11799/xueqiu_spider

72be1a983e3b648b902f12475fb914add7bd45e7

[ "MIT" ]

2

2017-02-07T08:30:18.000Z

2018-04-24T14:01:01.000Z

# -*- coding: utf-8 -*- import sys import time import json import pickle import hashlib import requests from urlparse import urljoin from config import * from spiders.common import * from spiders.html_parser import * from logs.log import logger reload(sys) sys.setdefaultencoding('utf8') class Spider(object): def __init__(self, user_name=None, password=None): self.session = requests.Session() self.uid = None self.user_name = user_name self.password = password def get_hash(self, string): m = hashlib.md5() m.update(string) return m.hexdigest() def _request(self, url, params={}): # 应该使用统一的request函数去请求，此处待重构 try: response = self.session.get(url, headers=FOLLOWER_HEADER, params=params, timeout=10) return response except requests.ConnectionError, requests.ConnectTimeout: logger.error('%s请求超时') def visit_index(self): self.session.get(BASE_URL, headers=BASE_HEADER) def login(self): url = urljoin(BASE_URL, LOGIN_URL) if self.check_login(): logger.info('已经登录') return data = { 'areacode': 86, 'remember_me': 'on', 'username': self.user_name, 'password': self.get_hash(self.password), } if if_int(self.user_name): data['telephone'] = data.pop('username') response = self.session.post(url, headers=BASE_HEADER, data=data) logger.debug(response.content) if self.check_login(): logger.info('登录成功') self.get_people_id('8276760920') self.save_cookies() return raise ValueError('登录失败') def save_cookies(self): result = self.load_data() with open('spiders/.session', 'wb') as f: cookies = requests.utils.dict_from_cookiejar(self.session.cookies) data = { 'cookies': cookies, 'uid': self.uid, 'user_name': self.user_name, } result[self.user_name] = data pickle.dump(result, f) @classmethod def clear_cookies(cls): with open('spiders/.session', 'wb') as f: pickle.dump({}, f) def load_data(self): with open('spiders/.session') as f: try: return pickle.load(f) except EOFError: return {} def load_cookies(self): with open('spiders/.session') as f: try: data = pickle.load(f) except EOFError: return {} result = data.get(self.user_name) if not result: logger.info("账户未登录") return {} self.uid = result['uid'] cookies = result['cookies'] return cookies def check_login(self, load_cookie=True): if load_cookie: cookies = self.load_cookies() response = self.session.get(BASE_URL, headers=BASE_HEADER, cookies=cookies, allow_redirects=False) else: response = self.session.get(BASE_URL, headers=BASE_HEADER, allow_redirects=False) if response.status_code == 302: if self.uid is not None: return True location = response.headers['Location'] uid = get_uid_from_url(location) if uid: self.uid = uid return True else: logger.error(u"从跳转链接解析uid出错了") return False def get_people(self): url = urljoin(BASE_URL, PEOPLE_URL) respond = self.session.get(url, headers=BASE_HEADER) result = get_people(respond.content) logger.info('抓取了%s个大V' % len(result)) return result def get_people_id(self, path): url = urljoin(BASE_URL, path) respond = self.session.get(url, headers=BASE_HEADER) if respond.status_code == 200: uid = get_people_id(respond.content) return uid else: logger.error(u'抓取’%s‘用户的id失败' % path) def get_followers(self, uid): size = 1000 url = urljoin(BASE_URL, FOLLOWERS_URL) params = { 'size': size, 'pageNo': 1, 'uid': uid, '_': int(time.time() * 1000) } respond = self._request(url, params=params) if not respond: return [] data = respond.json() max_page = data.get('maxPage') if not max_page: logger.error("获取粉丝失败") logger.error(data) raise ValueError("获取粉丝失败") result = data['followers'] for page in range(1, max_page): time.sleep(FOLLOWER_PAGE_INTEVAL) logger.info('开始抓取第%s页的粉丝' % page) params['pageNo'] = page params['_'] = int(time.time() * 1000) respond = self._request(url, params=params) if not respond: continue data = respond.json() result += data['followers'] return self.handle_followers(result) def handle_followers(self, data): return [(_['id'], _['screen_name']) for _ in data] def get_chat_sequence_id(self, uid): url = CHAT_HISTORY_URL % uid params = { 'user_id': self.uid, 'limit': 30, '_': int(time.time() * 1000) } cookies = self.load_cookies() respond = self.session.get(url, headers=CHAT_HEADER, params=params, cookies=cookies) if respond.status_code == 200: data = respond.json() if len(data) > 1: return data[-1]['sequenceId'] else: return 96878141 logger.error('获得聊天id失败') logger.error(respond.content) return False def chat(self, uid, msg): sequenceId = self.get_chat_sequence_id(uid) if not sequenceId: return False data = { 'plain': msg, 'to_group': False, 'toId': uid, 'sequenceId': sequenceId + 1 } params = {'user_id': self.uid} cookies = self.load_cookies() respond = self.session.post(CHAT_URL, headers=CHAT_HEADER, cookies=cookies, params=params, data=json.dumps(data)) if respond.status_code == 200: result = respond.json() error = result.get('error') if error: print '发送消息出错了' logger.debug(respond.content) raise ValueError(error.encode('utf8')) return True logger.debug(respond.status_code) logger.debug(respond.content) return False def post(self, msg, audience=[]): p = {"api": "/statuses/update.json", "_": int(time.time() * 1000)} cookie = self.load_cookies() url = urljoin(BASE_URL, TOKEN_URL) r = self.session.get(url, params=p, cookies=cookie, headers=BASE_HEADER) try: token = r.json()['token'] except (IndexError, TypeError, ValueError): logger.error("MLGB 出错了!") logger.error("\n%s\n", r.text) return audience = ' @'.join(audience) audience = ' @' + audience.strip() msg = '%s %s' % (msg, audience) logger.info('发送的内容是: %s' % msg) msg = msg.encode().decode() data = {"status": "<p>%s</p>" % msg, "session_token": token} url = urljoin(BASE_URL, POST_URL) r = self.session.post(url, data=data, cookies=cookie, headers=BASE_HEADER) if r.status_code == 200: data = r.json() if not data.get('error_code') > -1: logger.debug("完事儿了.") return logger.error("MLGB 又出错了!") logger.error("\n%s\n", r.text) raise ValueError('发广播出错了') def if_int(item): try: int(item) except ValueError: return False return True

32.042969

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8,203

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0.208754

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8,203

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null

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null

0.004367

0

null

0

null

0

1

0

1

920180be669a9b4ba8c22bfaeb59c4b059bb6f59

1,005

py

Python

sympy/diffgeom/tests/test_class_structure.py

shilpiprd/sympy

556e9c61b31d0d5f101cd56b43e843fbf3bcf121

[ "BSD-3-Clause" ]

8,323

2015-01-02T15:51:43.000Z

2022-03-31T13:13:19.000Z

sympy/diffgeom/tests/test_class_structure.py

shilpiprd/sympy

556e9c61b31d0d5f101cd56b43e843fbf3bcf121

[ "BSD-3-Clause" ]

15,102

2015-01-01T01:33:17.000Z

2022-03-31T22:53:13.000Z

sympy/diffgeom/tests/test_class_structure.py

shilpiprd/sympy

556e9c61b31d0d5f101cd56b43e843fbf3bcf121

[ "BSD-3-Clause" ]

4,490

2015-01-01T17:48:07.000Z

2022-03-31T17:24:05.000Z

from sympy.diffgeom import Manifold, Patch, CoordSystem, Point from sympy import symbols, Function from sympy.testing.pytest import warns_deprecated_sympy m = Manifold('m', 2) p = Patch('p', m) a, b = symbols('a b') cs = CoordSystem('cs', p, [a, b]) x, y = symbols('x y') f = Function('f') s1, s2 = cs.coord_functions() v1, v2 = cs.base_vectors() f1, f2 = cs.base_oneforms() def test_point(): point = Point(cs, [x, y]) assert point != Point(cs, [2, y]) #TODO assert point.subs(x, 2) == Point(cs, [2, y]) #TODO assert point.free_symbols == set([x, y]) def test_subs(): assert s1.subs(s1, s2) == s2 assert v1.subs(v1, v2) == v2 assert f1.subs(f1, f2) == f2 assert (x*f(s1) + y).subs(s1, s2) == x*f(s2) + y assert (f(s1)*v1).subs(v1, v2) == f(s1)*v2 assert (y*f(s1)*f1).subs(f1, f2) == y*f(s1)*f2 def test_deprecated(): with warns_deprecated_sympy(): cs_wname = CoordSystem('cs', p, ['a', 'b']) assert cs_wname == cs_wname.func(*cs_wname.args)

30.454545

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0.610945

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0.066778

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1,005

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0.230769

0

null

0

null

0

1

0

1

9204509b7b416569750a4002597915c7ee96c306

895

py

Python

tests/test_oauth.py

Dephilia/poaurk

8482effc35030c316c311dbda8a2e0b2e0754cda

[ "MIT" ]

1

2021-11-25T16:55:16.000Z

tests/test_oauth.py

Dephilia/poaurk

8482effc35030c316c311dbda8a2e0b2e0754cda

[ "MIT" ]

null

tests/test_oauth.py

Dephilia/poaurk

8482effc35030c316c311dbda8a2e0b2e0754cda

[ "MIT" ]

null

#! /usr/bin/env python3 # -*- coding: utf-8 -*- # vim:fenc=utf-8 # # Copyright © 2021 dephilia <dephilia@MacBook-Pro.local> # # Distributed under terms of the MIT license. """ """ import unittest from poaurk import (PlurkAPI, PlurkOAuth) class TestOauthMethods(unittest.TestCase): def test_class(self): oauth = PlurkOAuth("z3kiB2tbqrlC", "u8mCwet8BQNjROfUZU8A6BHc1o9rx1AE") oauth.authorize() def test_upper(self): self.assertEqual('foo'.upper(), 'FOO') def test_isupper(self): self.assertTrue('FOO'.isupper()) self.assertFalse('Foo'.isupper()) def test_split(self): s = 'hello world' self.assertEqual(s.split(), ['hello', 'world']) # check that s.split fails when the separator is not a string with self.assertRaises(TypeError): s.split(2) if __name__ == '__main__': unittest.main()

24.189189

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0.643575

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895

5.380952

0.619048

0.049558

0

0.024217

0.215642

895

36

79

24.861111

0.779202

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0.048412

0

0.277778

1

0.222222

false

0

0.111111

0

0.388889

0

null

0

null

0

1

0

1

92052e2fb1619d6d194ae1f403d4ea778640c5a8

394

py

Python

datacite_rest/__init__.py

gu-eresearch/datacite-rest

2569afc9df2a2380e4c001b881b28dd8288441ae

[ "MIT" ]

null

datacite_rest/__init__.py

gu-eresearch/datacite-rest

2569afc9df2a2380e4c001b881b28dd8288441ae

[ "MIT" ]

null

datacite_rest/__init__.py

gu-eresearch/datacite-rest

2569afc9df2a2380e4c001b881b28dd8288441ae

[ "MIT" ]

1

2021-06-01T16:11:07.000Z

""" root module with metadata """ __title__ = 'datacite-rest' __version__ = '0.0.1-dev0' __author__ = 'Gary Burgmann' __author_email__ = 'g.burgmann@griffith.edu.au' __description__ = 'a package for managing dois' __license__ = 'MIT' try: from .datacite_rest import DataCiteREST # noqa except Exception: # preserve import here but stops setup.py breaking due to dependencies pass

28.142857

74

0.741117

51

394

5.215686

0.882353

0.090226

0

0.012121

0.162437

394

13

75

30.307692

0.793939

0.256345

0

0.322807

0.091228

0

1

0

false

0.1

0

0.1

0

null

0

null

0

1

0

1

920c06c03c25fe4afade1bef0ccab25a44b158a4

764

py

Python

qiskit/aqua/algorithms/education/__init__.py

hushaohan/aqua

8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d

[ "Apache-2.0" ]

2

2020-06-29T16:08:12.000Z

2020-08-07T22:42:13.000Z

qiskit/aqua/algorithms/education/__init__.py

hushaohan/aqua

8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d

[ "Apache-2.0" ]

null

qiskit/aqua/algorithms/education/__init__.py

hushaohan/aqua

8512bc6ce246a8b3cca1e5edb1703b6885aa7c5d

[ "Apache-2.0" ]

1

2022-01-25T07:09:10.000Z

# -*- coding: utf-8 -*- # This code is part of Qiskit. # # (C) Copyright IBM 2020. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """ Education Package """ from .eoh import EOH from .simon import Simon from .deutsch_jozsa import DeutschJozsa from .bernstein_vazirani import BernsteinVazirani __all__ = ['EOH', 'Simon', 'DeutschJozsa', 'BernsteinVazirani']

29.384615

77

0.717277

110

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4.927273

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0

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764

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0.5

0

null

0

null

0

1

0

1

921abd69963e5dab6e9a4498bebdc2bdb12a2b92

1,480

py

Python

module3-nosql-and-document-oriented-databases/mongo_queries.py

ayarelif/DS-Unit-3-Sprint-2-SQL-and-Databases

fbd145f5dfbaa1e8b68e7369b593a4eee2c5ae5f

[ "MIT" ]

null

module3-nosql-and-document-oriented-databases/mongo_queries.py

ayarelif/DS-Unit-3-Sprint-2-SQL-and-Databases

fbd145f5dfbaa1e8b68e7369b593a4eee2c5ae5f

[ "MIT" ]

null

module3-nosql-and-document-oriented-databases/mongo_queries.py

ayarelif/DS-Unit-3-Sprint-2-SQL-and-Databases

fbd145f5dfbaa1e8b68e7369b593a4eee2c5ae5f

[ "MIT" ]

null

# BG_URI="mongodb+srv://elifayar:<password>@clusters.lcjcx.mongodb.net/<dbname>?retryWrites=true&w=majority") # client = pymongo.MongoClient(DB_URI) # db = client.test from pymongo import MongoClient import os from dotenv import load_dotenv load_dotenv() DB_USER = os.getenv("MONGO_USER", default="OOPS") DB_PASSWORD = os.getenv("MONGO_PASSWORD", default="OOPS") CLUSTER_NAME = os.getenv("MONGO_CLUSTER_NAME", default="OOPS") connection_uri = f"mongodb+srv://{DB_USER}:{DB_PASSWORD}@{CLUSTER_NAME}.mongodb.net/test?retryWrites=true&w=majority" print("----------------") print("URI:", connection_uri) client =MongoClient(connection_uri) print("----------------") print("CLIENT:", type(client), client) print("DATABASES", client.list_database_names()) db = client.my_test_database # "test_database" or whatever you want to call it print("----------------") print("DB:", type(db), db) collection = db.pokemon_test # "pokemon_test" or whatever you want to call it print("----------------") print("COLLECTION:", type(collection), collection) print("DOCUMENTS COUNT:", collection.count_documents({})) collection.insert_one({ "name": "Pikachu", "level": 30, "exp": 76000000000, "hp": 400, "parents": ['Pikachu',"Raichu"], "other_attr": { "a":1, "b":2, "c":3 } }) print("DOCS:", collection.count_documents({})) print(collection.count_documents({"name": "Pikachu"})) #from pprint import pprint #breakpoint() #dir(collection)

27.407407

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0.4

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0.117568

1,480

54

118

27.407407

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0

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false

0.057143

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0.342857

0

null

0

null

0

1

0

1

921b98b759492f2fca11edef2d3a5faa5d0dc853

1,797

py

Python

Scripts/simulation/careers/acting/performance_object_data.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

Scripts/simulation/careers/acting/performance_object_data.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

Scripts/simulation/careers/acting/performance_object_data.py

velocist/TS4CheatsInfo

b59ea7e5f4bd01d3b3bd7603843d525a9c179867

[ "Apache-2.0" ]

null

# uncompyle6 version 3.7.4 # Python bytecode 3.7 (3394) # Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)] # Embedded file name: T:\InGame\Gameplay\Scripts\Server\careers\acting\performance_object_data.py # Compiled at: 2018-09-18 00:30:33 # Size of source mod 2**32: 2272 bytes import services class PerformanceObjectData: def __init__(self, objects, pre_performance_states, performance_states, post_performance_states): self._objects = objects self._pre_performance_states = pre_performance_states self._performance_states = performance_states self._post_performance_states = post_performance_states def set_performance_states(self): self._set_states(self._performance_states) def set_pre_performance_states(self): bucks_tracker = services.active_sim_info().get_bucks_tracker() for state_data in self._pre_performance_states: skip_perk = state_data.skip_with_perk state_value = state_data.state_value if skip_perk is not None: if bucks_tracker is not None: if bucks_tracker.is_perk_unlocked(skip_perk): continue for obj in self._objects: if obj.has_state(state_value.state): obj.set_state((state_value.state), state_value, immediate=True, force_update=True) def set_post_performance_states(self): self._set_states(self._post_performance_states) def _set_states(self, states): for state_value in states: for obj in self._objects: if obj.has_state(state_value.state): obj.set_state((state_value.state), state_value, immediate=True, force_update=True)

44.925

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0.25

0

null

1

0

null

0

1

921ca360ae33219bfdbd1ac2f46fb2050a3108c9

45,163

py

Python

python/3D-rrt/pvtrace/Geometry.py

siddhu95/mcclanahoochie

6df72553ba954b52e949a6847a213b22f9e90157

[ "Apache-2.0" ]

1

2020-12-27T21:37:35.000Z

python/3D-rrt/pvtrace/Geometry.py

siddhu95/mcclanahoochie

6df72553ba954b52e949a6847a213b22f9e90157

[ "Apache-2.0" ]

null

python/3D-rrt/pvtrace/Geometry.py

siddhu95/mcclanahoochie

6df72553ba954b52e949a6847a213b22f9e90157

[ "Apache-2.0" ]

null

# pvtrace is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 3 of the License, or # (at your option) any later version. # # pvtrace is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. from __future__ import division import numpy as np import scipy as sp import scipy.linalg from external.transformations import translation_matrix, rotation_matrix import external.transformations as tf from external.quickhull import qhull3d import logging import pdb #logging.basicConfig(filename="/tmp/geom-debug.txt", level=logging.DEBUG, filemode="w") def cmp_floats(a,b): abs_diff = abs(a-b) if abs_diff < 1e-12: return True else: return False def cmp_floats_range(a,b): if cmp_floats(a,b): return 0 elif a < b: return -1 else: return 1 def intervalcheck(a,b,c): """ Returns whether a <= b <= c is True or False """ if cmp_floats(a,b) == True or cmp_floats(b,c) == True: return True if a<b and b<c: return True else: return False def intervalcheckstrict(a,b,c): """ Returns whether a < b < c is True or False """ if a<b and b<c: return True else: return False def smallerequalto(a,b): """ Returns whether a<=b is True or False """ if cmp_floats(a,b) == True: return True if a<b: return True else: return False def round_zero_elements(point): for i in range(0,len(point)): if cmp_floats(0.0, point[i]): point[i] = 0.0 return point def cmp_points(a,b): if a is None: return False if b is None: return False al = list(a) bl = list(b) for e1, e2 in zip(al, bl): ans = cmp_floats(e1,e2) if ans is False: return False return True def flatten(l, ltypes=(list, tuple)): ltype = type(l) l = list(l) i = 0 while i < len(l): while isinstance(l[i], ltypes): if not l[i]: l.pop(i) i -= 1 break else: l[i:i + 1] = l[i] i += 1 return ltype(l) def separation(beginning, end): return magnitude(np.array(end)-np.array(beginning)) def magnitude(vector): return np.sqrt(np.dot(np.array(vector),np.array(vector))) def norm(vector): return np.array(vector)/magnitude(np.array(vector)) def angle(normal, vector): assert cmp_floats(magnitude(normal), 1.0), "The normal vector is not normalised." dot = np.dot(normal, vector) return np.arccos(dot / magnitude(vector)) def reflect_vector(normal, vector): d = np.dot(normal, vector) return vector - 2 * d * normal def closest_point(reference, point_list): """Return the closest point in the list of reference points.""" separations = [] for point in point_list: t = separation(reference, point) separations.append(t) sort_index = np.array(separations).argsort() return point_list[sort_index[0]] def transform_point(point, transform): return np.array(np.dot(transform, np.matrix(np.concatenate((point, [1.]))).transpose()).transpose()[0,0:3]).squeeze() def transform_direction(direction, transform): angle, axis, point = tf.rotation_from_matrix(transform) rotation_transform = tf.rotation_matrix(angle, axis) return np.array(np.dot(rotation_transform, np.matrix(np.concatenate((direction, [1.]))).transpose()).transpose()[0,0:3]).squeeze() def rotation_matrix_from_vector_alignment(before, after): """ >>> # General input/output test >>> V1 = norm(np.random.random(3)) >>> V2 = norm([1,1,1]) >>> R = rotation_matrix_from_vector_alignment(V1, V2) >>> V3 = transform_direction(V1, R) >>> cmp_points(V2, V3) True >>> # Catch the special case in which we cannot take the cross product >>> V1 = [0,0,1] >>> V2 = [0,0,-1] >>> R = rotation_matrix_from_vector_alignment(V1, V2) >>> V3 = transform_direction(V1, R) >>> cmp_points(V2, V3) True """ # The angle between the vectors must not be 0 or 180 (i.e. so we can take a cross product) thedot = np.dot(before, after) if cmp_floats(thedot, 1.) == True: # Vectors are parallel return tf.identity_matrix() if cmp_floats(thedot, -1.) == True: # Vectors are anti-parallel print "Vectors are anti-parallel this might crash." axis = np.cross(before, after) # get the axis of rotation angle = np.arccos(np.dot(before, after)) # get the rotation angle return rotation_matrix(angle, axis) class Ray(object): """A ray in the global cartesian frame.""" def __init__(self, position=[0.,0.,0.], direction=[0.,0.,1.]): self.__position = np.array(position) self.__direction = np.array(direction)/np.sqrt(np.dot(direction,np.array(direction).conj())) def getPosition(self): return self.__position def setPosition(self, position): self.__position = round_zero_elements(position) def getDirection(self): return self.__direction def setDirection(self, direction): self.__direction = np.array(direction)/np.sqrt(np.dot(direction,np.array(direction).conj())) def stepForward(self, distance): self.position = self.position + distance * self.direction def behind(self, point): # Create vector from position to point, if the angle is # greater than 90 degrees then the point is behind the ray. v = np.array(point) - np.array(self.position) if cmp_points([0,0,0], v): # The ray is at the point return False if angle(self.direction, v) > np.pi*.5: return True return False # Define properties direction = property(getDirection, setDirection) position = property(getPosition, setPosition) class Intersection(object): """Defines the intersection between a ray and a geometrical objects.""" def __init__(self, ray, point, receiver): """An intersection is defined as the point that a ray and receiver meet. This class is simiply a wapper for these deatils. Intersection objects can be sorted with respect to their separations (distance from the ray.position to the point of intersection), this length is returned with intersection_obj.separation.""" super(Intersection, self).__init__() self.ray = ray self.point = point self.receiver = receiver self.separation = separation(point, ray.position) def __str__(self): return str(' point ' + str(self.point) + ' receiver ' + str(self.receiver)) def __cmp__(self, other): return cmp(self.separation, other.separation) class Plane(object): """A infinite plane going though the origin point along the positive z axis. At 4x4 transformation matrix can be applied to the generated other planes.""" def __init__(self, transform=None): '''Transform is a 4x4 transformation matrix that rotates and translates the plane into the global frame (a plane in the xy plane point with normal along (+ve) z).''' super(Plane, self).__init__() self.transform = transform if self.transform == None: self.transform = tf.identity_matrix() def append_transform(self, new_transform): self.transform = np.dot(self.transform, new_transform) def contains(self, point): return False def on_surface(self, point): """Returns True is the point is on the plane's surface and false otherwise.""" inv_transform = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, inv_transform) if cmp_floats(rpos, 0.): return True return False def surface_identifier(self, surface_point, assert_on_surface = True): raise 'planarsurf' def surface_normal(self, ray, acute=True): normal = transform_direction((0,0,1), self.transform) if acute: if angle(normal, rdir) > np.pi/2: normal = normal * -1.0 return normal def intersection(self, ray): """ Returns the intersection point of the ray with the plane. If no intersection occurs None is returned. >>> ray = Ray(position=[0.5, 0.5, -0.5], direction=[0,0,1]) >>> plane = Plane() >>> plane.intersection(ray) [array([ 0.5, 0.5, 0. ])] >>> ray = Ray(position=[0.5, 0.5, -0.5], direction=[0,0,1]) >>> plane = Plane() >>> plane.transform = tf.translation_matrix([0,0,1]) >>> plane.intersection(ray) [array([ 0.5, 0.5, 1. ])] >>> ray = Ray(position=[0.5, 0.5, -0.5], direction=[0,0,1]) >>> plane = Plane() >>> plane.append_transform(tf.translation_matrix([0,0,1])) >>> plane.append_transform(tf.rotation_matrix(np.pi,[1,0,0])) >>> plane.intersection(ray) [array([ 0.5, 0.5, 1. ])] """ # We need apply the anti-transform of the plane to the ray. This gets the ray in the local frame of the plane. inv_transform = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, inv_transform) rdir = transform_direction(ray.direction, inv_transform) # Ray is in parallel to the plane -- there is no intersection if rdir[2] == 0.0: return None t = -rpos[2]/rdir[2] # Intersection point is behind the ray if t < 0.0: return None # Convert local frame to world frame point = rpos + t*rdir return [transform_point(point, self.transform)] class FinitePlane(Plane): """A subclass of Plane but that has a finite size. The size of the plane is specified as the the plane was sitting in the xy-plane of a Cartesian system. The transformations are used dor the positioning. >>> fp = FinitePlane(length=1, width=1) >>> fp.intersection(Ray(position=(0,0,1), direction=(0,0,-1))) [array([ 0., 0., 0.])] >>> fp = FinitePlane(length=1, width=1) >>> fp.intersection(Ray(position=(0,0,1), direction=(.5,.25,-1))) [array([ 0.5 , 0.25, 0. ])] >>> fp = FinitePlane(length=1, width=1) >>> fp.append_transform(translation_matrix((2,0,0))) >>> fp.intersection(Ray(position=(0,0,1), direction=(0,0,-1))) """ def __init__(self, length=1, width=1): super(FinitePlane, self).__init__() self.length = length self.width = width def append_transform(self, new_transform): super(FinitePlane, self).append_transform(new_transform) def on_surface(self, point): """Returns True if the point is on the plane's surface and false otherwise.""" inv_transform = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, inv_transform) if cmp_floats(rpos, 0.) and (0. < rpos[0] <= self.length ) and (0. < rpos[1] <= self.width): return True return False def intersection(self, ray): """Returns a intersection point with a ray and the finte plane.""" points = super(FinitePlane, self).intersection(ray) # Is point in the finite plane bounds local_point = transform_point(points[0], self.transform) if (0. <= local_point[0] <= self.length ) and (0. <= local_point[1] <= self.width): return points return None class Polygon(object): """ A (2D) Polygon with n (>2) points Only konvex polygons are allowed! Order of points is of course important! """ def __init__(self, points): super(Polygon, self).__init__() self.pts = points #check if points are in one plane assert len(self.pts) >= 3, "You need at least 3 points to build a Polygon" if len(self.pts) > 3: x_0 = np.array(self.pts[0]) for i in range(1,len(self.pts)-2): #the determinant of the vectors (volume) must always be 0 x_i = np.array(self.pts[i]) x_i1 = np.array(self.pts[i+1]) x_i2 = np.array(self.pts[i+2]) det = np.linalg.det([x_0-x_i, x_0-x_i1, x_0-x_i2]) assert cmp_floats( det, 0.0 ), "Points must be in a plane to create a Polygon" def on_surface(self, point): """Returns True if the point is on the polygon's surface and false otherwise.""" n = len(self.pts) anglesum = 0 p = np.array(point) for i in range(n): v1 = np.array(self.pts[i]) - p v2 = np.array(self.pts[(i+1)%n]) - p m1 = magnitude(v1) m2 = magnitude(v2) if cmp_floats( m1*m2 , 0. ): return True #point is one of the nodes else: # angle(normal, vector) costheta = np.dot(v1,v2)/(m1*m2) anglesum = anglesum + np.arccos(costheta) return cmp_floats( anglesum , 2*np.pi ) def contains(self, point): return False def surface_identifier(self, surface_point, assert_on_surface = True): return "polygon" def surface_normal(self, ray, acute=False): vec1 = np.array(self.pts[0])-np.array(self.pts[1]) vec2 = np.array(self.pts[0])-np.array(self.pts[2]) normal = norm( np.cross(vec1,vec2) ) return normal def intersection(self, ray): """Returns a intersection point with a ray and the polygon.""" n = self.surface_normal(ray) #Ray is parallel to the polygon if cmp_floats( np.dot( np.array(ray.direction), n ), 0. ): return None t = 1/(np.dot(np.array(ray.direction),n)) * ( np.dot(n,np.array(self.pts[0])) - np.dot(n,np.array(ray.position)) ) #Intersection point is behind the ray if t < 0.0: return None #Calculate intersection point point = np.array(ray.position) + t*np.array(ray.direction) #Check if intersection point is really in the polygon or only on the (infinite) plane if self.on_surface(point): return [list(point)] return None class Box(object): """An axis aligned box defined by an minimum and extend points (array/list like values).""" def __init__(self, origin=(0,0,0), extent=(1,1,1)): super(Box, self).__init__() self.origin = np.array(origin) self.extent = np.array(extent) self.points = [origin, extent] self.transform = tf.identity_matrix() def append_transform(self, new_transform): self.transform = tf.concatenate_matrices(new_transform, self.transform) def contains(self, point): """Returns True is the point is inside the box or False if it is not or is on the surface. >>> box = Box([1,1,1], [2,2,2]) >>> box.contains([2,2,2]) False >>> box = Box([1,1,1], [2,2,2]) >>> box.contains([3,3,3]) False >>> # This point is not the surface within rounding errors >>> box = Box([0,0,0], [1,1,1]) >>> box.contains([ 0.04223342, 0.99999999999999989 , 0.35692177]) False >>> box = Box([0,0,0], [1,1,1]) >>> box.contains([ 0.04223342, 0.5 , 0.35692177]) True """ #local_point = transform_point(point, tf.inverse_matrix(self.transform)) #for pair in zip((self.origin, local_point, self.extent)): # if not pair[0] < pair[1] < pair[2]: # return False #return True local_point = transform_point(point, tf.inverse_matrix(self.transform)) for i in range(0,3): #if not (self.origin[i] < local_point[i] < self.extent[i]): # Want to make this comparison: self.origin[i] < local_point[i] < self.extent[i] c1 = cmp_floats_range(self.origin[i], local_point[i]) #print self.origin[i], " is less than ", local_point[i] if c1 == -1: b1 = True else: b1 = False #print b1 c2 = cmp_floats_range(local_point[i], self.extent[i]) #print local_point[i], " is less than ", self.extent[i] if c2 == -1: b2 = True else: b2 = False #print b2 if not (b1 and b2): return False return True """ # Alternatively: local_point = transform_point(point, tf.inverse_matrix(self.transform)) def_points = np.concatenate((np.array(self.origin), np.array(self.extent))) containbool = True for i in range(0,3): if intervalcheckstrict(def_points[i],local_point[i],def_points[i+3]) == False: containbool = False return containbool """ def surface_identifier(self, surface_point, assert_on_surface = True): """ Returns an unique identifier that specifies the surface which holds the surface_points. self.on_surface(surface_point) must return True, otherwise an assert error is thrown. Example, for a Box with origin=(X,Y,Z), and size=(L,W,H) has the identifiers: "left":(X,y,z) "right":(X+L,y,z) "near":(x,Y,z) "far":(x,Y+W,z) "bottom":(x,y,H) "top":(x,y,Z+H) """ # Get an axis-aligned point... then this is really easy. local_point = transform_point(surface_point, tf.inverse_matrix(self.transform)) # the local point must have at least one common point with the surface definition points def_points = np.concatenate((np.array(self.origin), np.array(self.extent))) #surface_id[0]=0 => left #surface_id[1]=0 => near #surface_id[2]=0 => bottom #surface_id[3]=0 => right #surface_id[4]=0 => far #surface_id[5]=0 => top #import pdb; pdb.set_trace() surface_id_array = [0,0,0,0,0,0] boolarray = [False, False, False] for i in range(0,3): if cmp_floats(def_points[i], local_point[i]): for j in range(0,3): if intervalcheck(def_points[j],local_point[j],def_points[j+3]): surface_id_array[i] = 1 boolarray[j] = True if cmp_floats(def_points[i+3], local_point[i]): for j in range(0,3): if intervalcheck(def_points[j],local_point[j],def_points[j+3]): surface_id_array[i+3] = 1 boolarray[j] = True if assert_on_surface == True: assert boolarray[0] == boolarray[1] == boolarray[2] == True surface_name = [] if surface_id_array[0] == 1: surface_name.append('left') if surface_id_array[1] == 1: surface_name.append('near') if surface_id_array[2] == 1: surface_name.append('bottom') if surface_id_array[3] == 1: surface_name.append('right') if surface_id_array[4] == 1: surface_name.append('far') if surface_id_array[5] == 1: surface_name.append('top') """ The following helps to specify if the local_point is located on a corner or edge of the box. If that is not desired, simply return surface_name[0]. """ # return surface_name[0] return_id = '' for j in range(len(surface_name)): return_id = return_id + surface_name[j] + '' return return_id def on_surface(self, point): """Returns True if the point is on the surface False otherwise. >>> box = Box([1,1,1], [2,2,2]) >>> box.on_surface([2,2,2]) True >>> box = Box([1,1,1], [2,2,2]) >>> box.on_surface([4,4,4]) False >>> box = Box(origin=(0, 0, 1.1000000000000001), extent=np.array([ 1. , 1. , 2.1])) >>> ray = Ray(position=(.5,.5, 2.1), direction=(0,0,1)) >>> box.on_surface(ray.position) True """ if self.contains(point) == True: return False # Get an axis-aligned point... then this is really easy. local_point = transform_point(point, tf.inverse_matrix(self.transform)) # the local point must have at least one common point with the surface definition points def_points = np.concatenate((np.array(self.origin), np.array(self.extent))) bool1 = False bool2 = False bool3 = False boolarray = [bool1, bool2, bool3] for i in range(0,3): if cmp_floats(def_points[i], local_point[i]): for j in range(0,3): if intervalcheck(def_points[j],local_point[j],def_points[j+3]): boolarray[j] = True if cmp_floats(def_points[i+3], local_point[i]): for j in range(0,3): if intervalcheck(def_points[j],local_point[j],def_points[j+3]): boolarray[j] = True if boolarray[0] == boolarray[1] == boolarray[2] == True: return True return False def surface_normal(self, ray, acute=True): """ Returns the normalised vector of which is the acute surface normal (0<~ theta <~ 90) with respect to ray direction. If acute=False is specified the reflex normal is returned (0<~ theta < 360) The ray must be on the surface otherwise an error is raised. >>> box = Box([0,0,0], [1,1,1]) >>> ray = Ray([0.5,0.5,1], [0,0,1]) >>> box.surface_normal(ray) array([ 0., 0., 1.]) >>> box = Box([1,1,1], [2,2,2]) >>> ray = Ray([1.5,1.5,2], [0,0,1]) >>> box.surface_normal(ray) array([ 0., 0., 1.]) """ #pdb.set_trace() assert self.on_surface(ray.position), "The point is not on the surface of the box." invtrans = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, invtrans) rdir = transform_direction(ray.direction, invtrans) # To define a flat surface, 3 points are needed. common_index = None exit = False reference_point = list(self.origin) for ref in reference_point: if not exit: for val in rpos: #logging.debug(str((ref,val))) if cmp_floats(ref,val): #logging.debug("Common value found, " + str(val) + " at index" + str(list(rpos).index(val))) common_index = list(rpos).index(val) exit = True break exit = False if common_index == None: reference_point = list(self.extent) for ref in reference_point: if not exit: for val in rpos: #logging.debug(str((ref,val))) if cmp_floats(ref,val): #logging.debug("Common value found, " + str(val) + " at index" + str(list(rpos).index(val))) common_index = list(rpos).index(val) exit = True break assert common_index != None, "The intersection point %s doesn't share an element with either the origin %s or extent points %s (all points transformed into local frame)." % (rpos, self.origin, self.extent) normal = np.zeros(3) if list(self.origin) == list(reference_point): normal[common_index] = -1. else: normal[common_index] = 1. if acute: if angle(normal, rdir) > np.pi/2: normal = normal * -1.0 assert 0 <= angle(normal, rdir) <= np.pi/2, "The normal vector needs to be pointing in the same direction quadrant as the ray, so the angle between them is between 0 and 90" # remove signed zeros this just makes the doctest work. Signed zeros shouldn't really effect the maths but makes things neat. for i in range(0,3): if normal[i] == 0.0: normal[i] = 0.0 return transform_direction(normal, self.transform) def intersection(self, ray): '''Returns an array intersection points with the ray and box. If no intersection occurs this function returns None. # Inside-out single intersection >>> ray = Ray(position=[0.5,0.5,0.5], direction=[0,0,1]) >>> box = Box() >>> box.intersection(ray) [array([ 0.5, 0.5, 1. ])] # Inside-out single intersection with translation >>> ray = Ray(position=[0.5,0.5,0.5], direction=[0,0,1]) >>> box = Box() >>> box.transform = tf.translation_matrix([0,0,1]) >>> box.intersection(ray) [array([ 0.5, 0.5, 1. ]), array([ 0.5, 0.5, 2. ])] >>> ray = Ray(position=[0.5,0.5,0.5], direction=[0,0,1]) >>> box = Box() >>> box.append_transform(tf.rotation_matrix(2*np.pi, [0,0,1])) >>> box.intersection(ray) [array([ 0.5, 0.5, 1. ])] >>> ray = Ray(position=[0.5,0.5,0.5], direction=[0,0,1]) >>> box = Box() >>> box.append_transform(tf.rotation_matrix(2*np.pi, norm([1,1,0]))) >>> box.append_transform(tf.translation_matrix([0,0,1])) >>> box.intersection(ray) [array([ 0.5, 0.5, 1. ]), array([ 0.5, 0.5, 2. ])] Here I am using the the work of Amy Williams, Steve Barrus, R. Keith Morley, and Peter Shirley, "An Efficient and Robust Ray-Box Intersection Algorithm" Journal of graphics tools, 10(1):49-54, 2005''' invtrans = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, invtrans) rdir = transform_direction(ray.direction, invtrans) #pts = [transform_point(self.points[0], self.transform), transform_point(self.points[1], self.transform)] pts = [np.array(self.points[0]), np.array(self.points[1])] rinvd = [1.0/rdir[0], 1.0/rdir[1], 1.0/rdir[2]] rsgn = [1.0/rinvd[0] < 0.0, 1.0/rinvd[1] < 0.0, 1.0/rinvd[2] < 0.0] tmin = (pts[rsgn[0]][0] - rpos[0]) * rinvd[0] tmax = (pts[1-rsgn[0]][0] - rpos[0]) * rinvd[0] tymin = (pts[rsgn[1]][1] - rpos[1]) * rinvd[1] tymax = (pts[1-rsgn[1]][1] - rpos[1]) * rinvd[1] #Bug here: this is the exit point with bug1.py if (tmin > tymax) or (tymin > tmax): return None if tymin > tmin: tmin = tymin if tymax < tmax: tmax = tymax tzmin = (pts[rsgn[2]][2] - rpos[2]) * rinvd[2] tzmax = (pts[1-rsgn[2]][2] - rpos[2]) * rinvd[2] if (tmin > tzmax) or (tzmin > tmax): return None if tzmin > tmin: tmin = tzmin if tzmax < tmax: tmax = tzmax # Calculate the hit coordinates then if the solution is in the forward direction append to the hit list. hit_coordinates = [] pt1 = rpos + tmin * rdir pt2 = rpos + tmax * rdir #pt1_sign = np.dot(pt1, rdir) #pt2_sign = np.dot(pt2, rdir) #print "tmin", tmin, "tmax", tmax if tmin >= 0.0: hit_coordinates.append(pt1) if tmax >= 0.0: hit_coordinates.append(pt2) #print hit_coordinates if len(hit_coordinates) == 0: return None # Convert hit coordinate back to the world frame hit_coords_world = [] for point in hit_coordinates: hit_coords_world.append(transform_point(point, self.transform)) return hit_coords_world class Cylinder(object): """ Parameterised standard representation of a cylinder. The axis is aligned along z but the radius and the length of the cylinder can be specified. A transformation must be applied to use centered at a different location of angle. """ def __init__(self, radius=1, length=1): super(Cylinder, self).__init__() self.radius = radius self.length = length self.transform = tf.identity_matrix() def append_transform(self, new_transform): self.transform = tf.concatenate_matrices(new_transform, self.transform) def contains(self, point): """ Returns True if the point in inside the cylinder and False if it is on the surface or outside. >>> # Inside >>> cylinder = Cylinder(.5, 2) >>> cylinder.contains([.25, .25, 1]) True >>> # On surface >>> cylinder.contains([.0, .0, 2.]) False >>> # Outside >>> cylinder.contains([-1,-1,-1]) False """ if self.on_surface(point) == True: return False local_point = transform_point(point, tf.inverse_matrix(self.transform)) origin_z = 0. xydistance = np.sqrt(local_point[0]**2 + local_point[1]**2) if intervalcheckstrict(origin_z, local_point[2], self.length) == True and xydistance<self.radius: return True else: return False def surface_normal(self, ray, acute=True): """ Return the surface normal for a ray on the shape surface. An assert error is raised if the ray is not on the surface. >>> cylinder = Cylinder(2, 2) >>> #Bottom cap in >>> ray = Ray([0,0,0], [0,0,1]) >>> cylinder.surface_normal(ray) array([ 0., 0., 1.]) >>> #Bottom cap out >>> ray = Ray([0,0,0], [0,0,-1]) >>> cylinder.surface_normal(ray) array([ 0., 0., -1.]) >>> # End cap in >>> ray = Ray([0,0,2], [0,0,-1]) >>> cylinder.surface_normal(ray) array([ 0., 0., -1.]) >>> # End cap out >>> ray = Ray([0,0,2], [0,0,1]) >>> cylinder.surface_normal(ray) array([ 0., 0., 1.]) >>> # Radial >>> ray = Ray([2, 0, 1], [1,0,0]) >>> cylinder.surface_normal(ray) array([ 1., 0., 0.]) """ assert self.on_surface(ray.position), "The ray is not on the surface." invtrans = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, invtrans) rdir = transform_direction(ray.direction, invtrans) # point on radius surface pt_radius = np.sqrt(rpos[0]**2 + rpos[1]**2) c0 = cmp_floats(pt_radius, self.radius) #point on end caps c1 = cmp_floats(rpos[2], .0) c2 = cmp_floats(rpos[2], self.length) # check radius first if c0 and (c1 == c2): normal = norm(np.array(rpos) - np.array([0,0,rpos[2]])) elif c1: normal = np.array([0,0,-1]) else: # Create a vector that points from the axis of the cylinder to the ray position, # this is the normal vector. normal = np.array([0,0,1]) if acute: if angle(normal, rdir) > np.pi*0.5: normal = normal * -1. return transform_direction(normal, self.transform) def on_surface(self, point): """ >>> # On surface >>> cylinder = Cylinder(.5, 2.) >>> cylinder.on_surface([.0, .0, 2.]) True """ """ # !!! Old version !!! local_point = transform_point(point, tf.inverse_matrix(self.transform)) # xy-component is equal to radius pt_radius = np.sqrt(local_point[0]**2 + local_point[1]**2) c0 = cmp_floats(pt_radius, self.radius) #z-component is equal to zero or length c1 = cmp_floats(local_point[2], .0) c2 = cmp_floats(local_point[2], self.length) if c1 or c2: return True elif c0: return True else: return False """ local_point = transform_point(point, tf.inverse_matrix(self.transform)) origin_z = 0. xydistance = np.sqrt(local_point[0]**2 + local_point[1]**2) if intervalcheck(origin_z, local_point[2], self.length) == True: if cmp_floats(xydistance, self.radius) == True: return True if smallerequalto(xydistance,self.radius): if cmp_floats(local_point[2], origin_z) == True or cmp_floats(local_point[2], self.length) == True: return True return False def surface_identifier(self, surface_point, assert_on_surface = True): local_point = transform_point(surface_point, tf.inverse_matrix(self.transform)) origin_z = 0. xydistance = np.sqrt(local_point[0]**2 + local_point[1]**2) """ Assert surface_point on surface """ assertbool = False if intervalcheck(origin_z, local_point[2], self.length) == True: if cmp_floats(xydistance, self.radius) == True: surfacename = 'hull' assertbool = True if smallerequalto(xydistance,self.radius): if cmp_floats(local_point[2], origin_z) == True: surfacename = 'base' assertbool = True if cmp_floats(local_point[2], self.length) == True: surfacename = 'cap' assertbool = True if assert_on_surface == True: assert assertbool, "The assert bool is wrong." return surfacename def intersection(self, ray): """ Returns all forward intersection points with ray and the capped cylinder. The intersection algoithm is taken from, "Intersecting a Ray with a Cylinder" Joseph M. Cychosz and Warren N. Waggenspack, Jr., in "Graphics Gems IV", Academic Press, 1994. >>> cld = Cylinder(1.0, 1.0) >>> cld.intersection(Ray([0.0,0.0,0.5], [1,0,0])) [array([ 1. , 0. , 0.5])] >>> cld.intersection(Ray([-5,0.0,0.5], [1,0,0])) [array([-1. , 0. , 0.5]), array([ 1. , 0. , 0.5])] >>> cld.intersection(Ray([.5,.5,-1], [0,0,1])) [array([ 0.5, 0.5, 1. ]), array([ 0.5, 0.5, 0. ])] >>> cld.intersection( Ray([0.0,0.0,2.0], [0,0,-1])) [array([ 0., 0., 1.]), array([ 0., 0., 0.])] >>> cld.intersection(Ray([-0.2, 1.2,0.5],[0.75498586, -0.53837322, 0.37436697])) [array([ 0.08561878, 0.99632797, 0.64162681]), array([ 0.80834999, 0.48095523, 1. ])] >>> cld.intersection(Ray(position=[ 0.65993112596983427575736414, -0.036309587083015459896273569, 1. ], direction=[ 0.24273873128664008591570678, -0.81399482405912471083553328, 0.52772183462341881732271531])) [array([ 0.65993113, -0.03630959, 1. ])] >>> cld.transform = tf.translation_matrix([0,0,1]) >>> cld.intersection(Ray([-5,0.0,1.5], [1,0,0])) [array([-1. , 0. , 1.5]), array([ 1. , 0. , 1.5])] >>> cld.transform = tf.identity_matrix() >>> cld.transform = tf.rotation_matrix(0.25*np.pi, [1,0,0]) >>> cld.intersection(Ray([-5,-.5,-0.25], [1,0,0])) [array([-0.84779125, -0.5 , -0.25 ]), array([ 0.84779125, -0.5 , -0.25 ])] """ # Inverse transform the ray to get it into the cylinders local frame inv_transform = tf.inverse_matrix(self.transform) rpos = transform_point(ray.position, inv_transform) rdir = transform_direction(ray.direction, inv_transform) direction = np.array([0,0,1]) normal = np.cross(rdir, direction) normal_magnitude = magnitude(normal) #print normal_magnitude, "Normal magnitude" if cmp_floats(normal_magnitude, .0): # Ray parallel to cylinder direction normal = norm(normal) #d = abs(np.dot(rpos, direction)) #D = rpos - d * np.array(direction) #if magnitude(D) <= self.radius: # Axis aligned ray inside the cylinder volume only hits caps #print "Inside axis aligned ray only hits caps" bottom = Plane() top = Plane() top.transform = tf.translation_matrix([0,0,self.length]) p0 = top.intersection(Ray(rpos, rdir)) p1 = bottom.intersection(Ray(rpos, rdir)) cap_intersections = [] if p0 != None: cap_intersections.append(p0) if p1 != None: cap_intersections.append(p1) points = [] for point in cap_intersections: if point[0] != None: point = point[0] point_radius = np.sqrt(point[0]**2 + point[1]**2) if point_radius <= self.radius: #print "Hit cap at point:" #print point #print "" points.append(point) if len(points) > 0: world_points = [] for pt in points: world_points.append(transform_point(pt, self.transform)) #print "Local points", points #print "World points", world_points return world_points return None # finish axis parallel branch #print "Not parallel to cylinder axis." #print "" normal = norm(normal) d = abs(np.dot(rpos, normal)) if d <= self.radius: #Hit quadratic surface O = np.cross(rpos, direction) t = - np.dot(O,normal) / normal_magnitude O = np.cross(normal, direction) O = norm(O) s = abs(np.sqrt(self.radius**2 - d**2) / np.dot(rdir, O)) t0 = t - s p0 = rpos + t0 * rdir t1 = t + s p1 = rpos + t1 * rdir points = [] if (t0 >= 0.0) and (.0 <= p0[2] <= self.length): points.append(p0) if (t1 >= 0.0) and (.0 <= p1[2] <= self.length): points.append(p1) #print "Hits quadratic surface with t0 and t1, ", t0, t1 #print "" #print "Intersection points:" #p0 = rpos + t0 * rdir #p1 = rpos + t1 * rdir # Check that hit quadratic surface in the length range #points = [] #if (.0 <= p0[2] <= self.length) and not Ray(rpos, rdir).behind(p0): # points.append(p0) # #if (.0 <= p1[2] <= self.length) and not Ray(rpos, rdir).behind(p1): # points.append(p1) #print points #Now compute intersection with end caps #print "Now to calculate caps intersections" bottom = Plane() top = Plane() top.transform = tf.translation_matrix([0,0,self.length]) p2 = top.intersection(Ray(rpos, rdir)) p3 = bottom.intersection(Ray(rpos, rdir)) cap_intersections = [] if p2 != None: cap_intersections.append(p2) if p3 != None: cap_intersections.append(p3) for point in cap_intersections: if point[0] != None: point = point[0] point_radius = np.sqrt(point[0]**2 + point[1]**2) if point_radius <= self.radius: #print "Hit cap at point:" #print point #print "" points.append(point) #print points if len(points) > 0: world_points = [] for pt in points: world_points.append(transform_point(pt, self.transform)) return world_points return None class Convex(object): """docstring for Convex""" def __init__(self, points): super(Convex, self).__init__() self.points = points verts, triangles = qhull3d(points) self.faces = range(len(triangles)) for i in range(len(triangles)): a = triangles[i][0] b = triangles[i][1] c = triangles[i][2] self.faces[i] = Polygon([verts[a], verts[b], verts[c]]) def on_surface(self, point): for face in self.faces: if face.on_surface(point): return True return False def surface_normal(self, ray, acute=False): for face in self.faces: if face.on_surface(ray.position): normal = face.surface_normal(ray, acute=acute) if angle(normal , ray.direction) > np.pi/2: normal = normal * -1 return normal assert("Have not found the surface normal for this ray. Are you sure the ray is on the surface of this object?") def surface_identifier(self, surface_point, assert_on_surface=True): return "Convex" def intersection(self, ray): points = [] for face in self.faces: pt = face.intersection(ray) if pt != None: points.append(np.array(pt[0])) if len(points) > 0: return points return None def contains(self, point): ray = Ray(position=point, direction=norm(np.random.random(3))) hit_counter = 0 for face in self.faces: if face.on_surface(ray.position): return False pt = face.intersection(ray) if pt != None: hit_counter = hit_counter + 1 even_or_odd = hit_counter % 2 if even_or_odd == 0: return False return True def centroid(self): """Credit: http://orion.math.iastate.edu:80/burkardt/c_src/geometryc/geometryc.html Returns the 'centroid' of the Convex polynomial. """ raise NotImplementedError("The centroid method of the Convex class is not yet implemented.") #area = 0.0; #for ( i = 0; i < n - 2; i++ ) { #areat = triangle_area_3d ( x[i], y[i], z[i], x[i+1], # y[i+1], z[i+1], x[n-1], y[n-1], z[n-1] ); # #area = area + areat; #*cx = *cx + areat * ( x[i] + x[i+1] + x[n-1] ) / 3.0; #*cy = *cy + areat * ( y[i] + y[i+1] + y[n-1] ) / 3.0; #*cz = *cz + areat * ( z[i] + z[i+1] + z[n-1] ) / 3.0; # #} # #*cx = *cx / area; #*cy = *cy / area; #*cz = *cz / area; # if __name__ == "__main__": import doctest #doctest.testmod() if False: # Catch the special case in which we cannot take the cross product V1 = [0,0,1] V2 = [0,0,-1] #import pdb; pdb.set_trace() R = rotation_matrix_from_vector_alignment(V1, V2) R2 = rotation_matrix(np.pi, [1,0,0]) V3 = transform_direction(V1, R) print R2 print cmp_points(V2, V3)

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ecf56bf4694e10d805e550af2ca7db64ebf0dff8

3,091

py

Python

zenvlib/environmentsettings.py

zoosk/zenv

5d7a548c7c9cca784f23fdcfd86533eaf1d68811

[ "Apache-2.0" ]

14

2016-03-10T23:00:16.000Z

2020-02-14T22:27:41.000Z

zenvlib/environmentsettings.py

zoosk/zenv

5d7a548c7c9cca784f23fdcfd86533eaf1d68811

[ "Apache-2.0" ]

null

zenvlib/environmentsettings.py

zoosk/zenv

5d7a548c7c9cca784f23fdcfd86533eaf1d68811

[ "Apache-2.0" ]

null

# Copyright 2015 Zoosk, 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. import os class EnvironmentSettings(object): #: The path to the build properties file buildprops = None #: The path to the common properties file buildprops_common = None #: The build command used to start a build in this checkout. build_command = None #: The command that runs on completion of a build. complete_command = None #: The path to the current workspace. current_work = None #: The IP address of the database box. dbip = None #: The dev ID for this checkout. devid = None #: The 3-digit, 0-padded devid devid_padded = None #: The hostname of the dev server for this checkout. devserver = None #: The command that runs on build failure. failed_command = None #: Whether or not the user is in ZEnv. initialized = False #: The user's LDAP username. ldap_username = None #: The path to the root of the local deploy dir. local_deploy_dir = None #: The root of the ZEnv checkout. root = None #: The directories to rsync after a build completes. rsync_directories = None #: The path to the deployed version of this checkout. serverdir = None #: The path to the global settings file. settings = None #: The path to the workspace folder that contains the checkouts. workspace = None #: The name of the checkout settings file. workspace_settings = None # Note that other properties will be set on this class based on the actual environment variables that you declare. def __init__(self): env_vars = os.environ # Load all the vars for key, value in env_vars.iteritems(): if key.startswith('ZENV_'): attr_name = key[5:].lower() setattr(self, attr_name, value) # Add data types to non-string properties self.initialized = (self.initialized == '1') if self.rsync_directories is not None: self.rsync_directories = self.rsync_directories.split(' ') else: self.rsync_directories = [] if self.buildprops_common == '': self.buildprops_common = None self._env_loaded = True def __setattr__(self, key, value): """ Override __setattr__ to make all properties read-only """ if hasattr(self, '_env_loaded'): raise Exception('Properties of EnvironmentSettings objects are read-only') else: self.__dict__[key] = value

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ecf908c2677c35a6ed13615d3ef45501f7f7362a

841

py

Python

brownbags/urls.py

openkawasaki/brownbag-django

ecdd4d2233a77922ead14afcaec289d4a0f43a1b

[ "MIT" ]

2

2020-04-18T12:36:00.000Z

2020-07-06T03:32:42.000Z

brownbags/urls.py

openkawasaki/brownbag-django

ecdd4d2233a77922ead14afcaec289d4a0f43a1b

[ "MIT" ]

16

2020-04-12T13:24:26.000Z

2020-04-12T15:54:40.000Z

brownbags/urls.py

openkawasaki/brownbag-django

ecdd4d2233a77922ead14afcaec289d4a0f43a1b

[ "MIT" ]

3

2020-04-13T13:56:02.000Z

2020-07-06T03:32:51.000Z

from django.urls import include, path from . import views from django.views.generic.base import RedirectView from rest_framework import routers from . import apis # アプリケーションの名前空間 app_name = 'brownbags' urlpatterns = [ path('', views.index, name='index'), path('edit/', views.edit, name='edit'), path('api/v1.0/shop/list/', apis.shop_list.as_view(), name='apis_shop_list'), path('api/v1.0/shop/', apis.shop.as_view(), name='apis_shop'), #path('api-auth/', include('rest_framework.urls', namespace='rest_framework')) ] from rest_framework import routers from .apis import ShopViewSet, ImageDataViewSet #--------------------------------------------- router = routers.DefaultRouter() router.register('api/1.0/data/shop', ShopViewSet) router.register('api/1.0/data/image', ImageDataViewSet) urlpatterns += router.urls

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null

0

null

0

1

0

1

ecfeefcda553063068069aa70f84508ced468409

12,003

py

Python

config/settings/base.py

sul-cidr/histonets-arch

6105de90905d54db604b0606d517f53782aae16d

[ "MIT" ]

null

config/settings/base.py

sul-cidr/histonets-arch

6105de90905d54db604b0606d517f53782aae16d

[ "MIT" ]

19

2018-04-19T19:32:59.000Z

2018-06-04T23:20:03.000Z

config/settings/base.py

sul-cidr/histonets-arch

6105de90905d54db604b0606d517f53782aae16d

[ "MIT" ]

null

""" Base settings to build other settings files upon. """ import environ ROOT_DIR = environ.Path(__file__) - 3 # (histonets/config/settings/base.py - 3 = histonets/) APPS_DIR = ROOT_DIR.path('histonets') env = environ.Env() READ_DOT_ENV_FILE = env.bool('DJANGO_READ_DOT_ENV_FILE', default=False) if READ_DOT_ENV_FILE: # OS environment variables take precedence over variables from .env env.read_env(str(ROOT_DIR.path('.env'))) # GENERAL # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#debug DEBUG = env.bool('DJANGO_DEBUG', False) # Local time zone. Choices are # http://en.wikipedia.org/wiki/List_of_tz_zones_by_name # though not all of them may be available with every OS. # In Windows, this must be set to your system time zone. TIME_ZONE = 'UTC' # https://docs.djangoproject.com/en/dev/ref/settings/#language-code LANGUAGE_CODE = 'en-us' # https://docs.djangoproject.com/en/dev/ref/settings/#site-id SITE_ID = 1 # https://docs.djangoproject.com/en/dev/ref/settings/#use-i18n USE_I18N = True # https://docs.djangoproject.com/en/dev/ref/settings/#use-l10n USE_L10N = True # https://docs.djangoproject.com/en/dev/ref/settings/#use-tz USE_TZ = True # DATABASES # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#databases DATABASES = { 'default': env.db('DATABASE_URL'), } DATABASES['default']['ATOMIC_REQUESTS'] = True # URLS # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#root-urlconf ROOT_URLCONF = 'config.urls' # https://docs.djangoproject.com/en/dev/ref/settings/#wsgi-application WSGI_APPLICATION = 'config.wsgi.application' # APPS # ------------------------------------------------------------------------------ DJANGO_APPS = [ 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.sites', 'django.contrib.messages', 'django.contrib.staticfiles', # 'django.contrib.humanize', # Handy template tags 'django.contrib.admin', ] THIRD_PARTY_APPS = [ 'crispy_forms', 'allauth', 'allauth.account', 'allauth.socialaccount', 'allauth.socialaccount.providers.box', 'webpack_loader', 'health_check', 'health_check.db', # 'health_check.cache', # 'health_check.storage', # 'health_check.contrib.celery', # requires celery # 'health_check.contrib.psutil', # disk and memory utilization; requires psutil # 'health_check.contrib.s3boto_storage', # requires boto and S3BotoStorage backend ] LOCAL_APPS = [ 'histonets.users.apps.UsersConfig', 'histonets.apps.HistonetsConfig', 'histonets.collections.apps.CollectionsConfig', ] # https://docs.djangoproject.com/en/dev/ref/settings/#installed-apps INSTALLED_APPS = DJANGO_APPS + THIRD_PARTY_APPS + LOCAL_APPS # MIGRATIONS # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#migration-modules MIGRATION_MODULES = { 'sites': 'histonets.contrib.sites.migrations' } # AUTHENTICATION # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#authentication-backends AUTHENTICATION_BACKENDS = [ 'django.contrib.auth.backends.ModelBackend', 'allauth.account.auth_backends.AuthenticationBackend', ] # https://docs.djangoproject.com/en/dev/ref/settings/#auth-user-model AUTH_USER_MODEL = 'users.User' # https://docs.djangoproject.com/en/dev/ref/settings/#login-redirect-url LOGIN_REDIRECT_URL = 'users:redirect' # https://docs.djangoproject.com/en/dev/ref/settings/#login-url LOGIN_URL = 'account_login' # PASSWORDS # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#password-hashers PASSWORD_HASHERS = [ # https://docs.djangoproject.com/en/dev/topics/auth/passwords/#using-argon2-with-django 'django.contrib.auth.hashers.Argon2PasswordHasher', 'django.contrib.auth.hashers.PBKDF2PasswordHasher', 'django.contrib.auth.hashers.PBKDF2SHA1PasswordHasher', 'django.contrib.auth.hashers.BCryptSHA256PasswordHasher', 'django.contrib.auth.hashers.BCryptPasswordHasher', ] # https://docs.djangoproject.com/en/dev/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', }, ] # MIDDLEWARE # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#middleware 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', ] # STATIC # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#static-root STATIC_ROOT = str(ROOT_DIR('static')) # https://docs.djangoproject.com/en/dev/ref/settings/#static-url STATIC_URL = '/static/' # https://docs.djangoproject.com/en/dev/ref/contrib/staticfiles/#std:setting-STATICFILES_DIRS STATICFILES_DIRS = [ str(APPS_DIR.path('static')), str(ROOT_DIR('assets')) ] # https://docs.djangoproject.com/en/dev/ref/contrib/staticfiles/#staticfiles-finders STATICFILES_FINDERS = [ 'django.contrib.staticfiles.finders.FileSystemFinder', 'django.contrib.staticfiles.finders.AppDirectoriesFinder', ] # webpack loader WEBPACK_LOADER = { 'DEFAULT': { 'BUNDLE_DIR_NAME': 'bundles/', 'STATS_FILE': str(ROOT_DIR('webpack-stats.json')), } } # MEDIA # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#media-root MEDIA_ROOT = str(ROOT_DIR('media')) # https://docs.djangoproject.com/en/dev/ref/settings/#media-url MEDIA_URL = '/media/' # IIIF # ------------------------------------------------------------------------------ IIIF_DIR = 'iiif' # Relative to the default storage, e.g., /media/iiif IIIF_CANONICAL_URI_PATTERN = "{}/iiif/2/{{}}/full/max/0/default.jpg" IIIF_CANONICAL_URI = IIIF_CANONICAL_URI_PATTERN.format(env('CANTALOUPE_SERVER', default='http://localhost')) IIIF_CANONICAL_CONTAINER_URI = None if env('CANTALOUPE_CONTAINER_SERVER', default=False): IIIF_CANONICAL_CONTAINER_URI = IIIF_CANONICAL_URI_PATTERN.format( env('CANTALOUPE_CONTAINER_SERVER', default='http://localhost') ) IIIF_IMAGE_FORMATS = ["jpg", "jpeg", "tif", "tiff", "gif", "png"] # TEMPLATES # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#templates TEMPLATES = [ { # https://docs.djangoproject.com/en/dev/ref/settings/#std:setting-TEMPLATES-BACKEND 'BACKEND': 'django.template.backends.django.DjangoTemplates', # https://docs.djangoproject.com/en/dev/ref/settings/#template-dirs 'DIRS': [ str(APPS_DIR.path('templates')), ], 'OPTIONS': { # https://docs.djangoproject.com/en/dev/ref/settings/#template-debug 'debug': DEBUG, # https://docs.djangoproject.com/en/dev/ref/settings/#template-loaders # https://docs.djangoproject.com/en/dev/ref/templates/api/#loader-types 'loaders': [ 'django.template.loaders.filesystem.Loader', 'django.template.loaders.app_directories.Loader', ], # https://docs.djangoproject.com/en/dev/ref/settings/#template-context-processors 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.template.context_processors.i18n', 'django.template.context_processors.media', 'django.template.context_processors.static', 'django.template.context_processors.tz', 'django.contrib.messages.context_processors.messages', ], }, }, ] # http://django-crispy-forms.readthedocs.io/en/latest/install.html#template-packs CRISPY_TEMPLATE_PACK = 'bootstrap4' # FIXTURES # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#fixture-dirs FIXTURE_DIRS = ( str(APPS_DIR.path('fixtures')), ) # EMAIL # ------------------------------------------------------------------------------ # https://docs.djangoproject.com/en/dev/ref/settings/#email-backend EMAIL_BACKEND = env('DJANGO_EMAIL_BACKEND', default='django.core.mail.backends.smtp.EmailBackend') # ADMIN # ------------------------------------------------------------------------------ # Django Admin URL regex. ADMIN_URL = r'^admin/' # https://docs.djangoproject.com/en/dev/ref/settings/#admins ADMINS = [ ("""Center for Interdisciplinary Digital Research (CIDR)""", 'contact-cidr@stanford.edu'), ] # https://docs.djangoproject.com/en/dev/ref/settings/#managers MANAGERS = ADMINS # Celery # ------------------------------------------------------------------------------ INSTALLED_APPS += ['histonets.taskapp.celery.CeleryConfig'] # http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-broker_url CELERY_BROKER_URL = env('CELERY_BROKER_URL', default='django://') # http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-result_backend if CELERY_BROKER_URL == 'django://': CELERY_RESULT_BACKEND = 'redis://' else: CELERY_RESULT_BACKEND = CELERY_BROKER_URL # http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-accept_content CELERY_ACCEPT_CONTENT = ['json'] # http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-task_serializer CELERY_TASK_SERIALIZER = 'json' # http://docs.celeryproject.org/en/latest/userguide/configuration.html#std:setting-result_serializer CELERY_RESULT_SERIALIZER = 'json' CELERY_ALWAYS_EAGER = False # set to True for emulation CELERYD_TASK_TERMINATES_WORKER = True # custom option CELERYD_MAX_TASKS_PER_CHILD = 1 # django-allauth # ------------------------------------------------------------------------------ # https://django-allauth.readthedocs.io/en/latest/configuration.html ACCOUNT_ALLOW_REGISTRATION = env.bool('DJANGO_ACCOUNT_ALLOW_REGISTRATION', True) ACCOUNT_AUTHENTICATION_METHOD = 'username_email' ACCOUNT_EMAIL_REQUIRED = env.bool('DJANGO_ACCOUNT_EMAIL_REQUIRED', default=True) ACCOUNT_EMAIL_VERIFICATION = env.bool('DJANGO_ACCOUNT_EMAIL_VERIFICATION', default="mandatory") ACCOUNT_ADAPTER = 'histonets.users.adapters.AccountAdapter' SOCIALACCOUNT_ADAPTER = 'histonets.users.adapters.SocialAccountAdapter' # django-compressor # ------------------------------------------------------------------------------ # https://django-compressor.readthedocs.io/en/latest/quickstart/#installation INSTALLED_APPS += ['compressor'] STATICFILES_FINDERS += ['compressor.finders.CompressorFinder'] COMPRESS_PRECOMPILERS = ( ('text/x-sass', 'sass {infile} {outfile}'), ) # Histonets # ------------------------------------------------------------------------------

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1

ecffd858ad8cd1dedc6a42ad347e664e218138b6

10,706

py

Python

groupman.py

yteraoka/googleapps-directory-tools

ea59f0602ddafcc850cf7e36f6021be0ee60c2a3

[ "Apache-2.0" ]

20

2015-02-20T04:58:17.000Z

2020-12-30T23:43:29.000Z

groupman.py

yteraoka/googleapps-directory-tools

ea59f0602ddafcc850cf7e36f6021be0ee60c2a3

[ "Apache-2.0" ]

2

2015-03-02T14:33:25.000Z

2017-09-20T11:23:19.000Z

groupman.py

yteraoka/googleapps-directory-tools

ea59f0602ddafcc850cf7e36f6021be0ee60c2a3

[ "Apache-2.0" ]

11

2015-03-02T14:16:01.000Z

2021-10-03T14:28:10.000Z

#!/apps/python-2.7/bin/python # -*- coding: utf-8 -*- import os import os.path import glob import sys from apiclient.discovery import build from apiclient.errors import HttpError import httplib2 from oauth2client.client import flow_from_clientsecrets from oauth2client.file import Storage from oauth2client import tools import argparse import simplejson as json import pprint import codecs import yaml import re from termcolor import colored from const import * from utils import * GROUP_PARAMS = ['name', 'description', 'aliases', 'allowExternalMembers', 'allowGoogleCommunication', 'allowWebPosting', 'archiveOnly', 'customReplyTo', 'includeInGlobalAddressList', 'isArchived', 'maxMessageBytes', 'membersCanPostAsTheGroup', 'messageDisplayFont', 'messageModerationLevel', 'primaryLanguage', 'replyTo', 'sendMessageDenyNotification', 'showInGroupDirectory', 'spamModerationLevel', 'whoCanContactOwner', 'whoCanInvite', 'whoCanJoin', 'whoCanLeaveGroup', 'whoCanPostMessage', 'whoCanViewGroup', 'whoCanViewMembership'] class GaService(object): def __init__(self, cred_path = CREDENTIALS_PATH): storage = Storage(cred_path) credentials = storage.get() if credentials is None or credentials.invalid: sys.exit(1) http = httplib2.Http() http = credentials.authorize(http) sv1 = build('admin', 'directory_v1', http=http) sv2 = build('groupssettings', 'v1', http=http) self.service = {} self.service['group'] = sv1.groups() self.service['member'] = sv1.members() self.service['settings'] = sv2.groups() def group_sv(self): return self.service['group'] def member_sv(self): return self.service['member'] def settings_sv(self): return self.service['settings'] def list_local_groups(self, domain, dir): groups = [] for f in glob.glob("%s/*@%s.yml" % (dir, domain)): email = os.path.splitext(os.path.basename(f))[0] group_obj = GaGroup() group_obj.set_group_key(email) groups.append(group_obj) return groups def list_cloud_groups(self, domain): groups = [] pageToken = None while True: params = { 'domain': domain } if pageToken: params['pageToken'] = pageToken r = self.service['group'].list(**params).execute() if r.has_key('groups'): for group in r['groups']: group_obj = GaGroup() group_obj.set_group_key(group['email']) groups.append(group_obj) if r.has_key('nextPageToken'): pageToken = r['nextPageToken'] else: break return groups class GaGroup(object): def __init__(self): self.local_dir = '.' self.local = {} self.cloud = {} self.group_key = None def set_group_key(self, group_key): self.group_key = group_key def set_local_dir(self, local_dir): self.local_dir = local_dir def group_key(self): return self.group_key def load_cloud(self, sv): r = sv.settings_sv().get(groupUniqueId=self.group_key).execute() self.cloud = r members = self.load_cloud_member(sv) self.cloud['members'] = [] self.cloud['owners'] = [] self.cloud['managers'] = [] for member in members: if member['role'] == 'MEMBER': self.cloud['members'].append(member['email']) elif member['role'] == 'MANAGER': self.cloud['managers'].append(member['email']) elif member['role'] == 'OWNER': self.cloud['owners'].append(member['email']) self.cloud['members'].sort() self.cloud['owners'].sort() self.cloud['managers'].sort() r = sv.group_sv().get(groupKey=self.group_key).execute() if r.has_key('aliases'): self.cloud['aliases'] = r['aliases'] def load_cloud_member(self, sv): members = [] pageToken = None while True: params = { 'groupKey': self.group_key } if pageToken: params['pageToken'] = pageToken r = sv.member_sv().list(**params).execute() if r.has_key('members'): for member in r['members']: members.append(member) if r.has_key('nextPageToken'): pageToken = r['nextPageToken'] else: break return members def dump_data(self, data, stream): stream.write("email: %s\n" % data['email']) for key in GROUP_PARAMS: if data.has_key(key): if key in ['name', 'description']: stream.write("%s: \"%s\"\n" % (key, re.sub(r'"', '\\"', data[key]).encode('utf-8'))) elif key in ['maxMessageBytes']: stream.write("%s: %s\n" % (key, data[key])) elif key in ['aliases']: if len(data[key]): stream.write("%s:\n" % key) for val in data[key]: stream.write(" - %s\n" % val) else: stream.write("%s: []\n" % key) else: stream.write("%s: \"%s\"\n" % (key, data[key])) if len(data['members']): stream.write("members:\n") for member in data['members']: stream.write(" - %s\n" % member) else: stream.write("members: []\n") if len(data['managers']): stream.write("managers:\n") for member in data['managers']: stream.write(" - %s\n" % member) else: stream.write("managers: []\n") if len(data['owners']): stream.write("owners:\n") for member in data['owners']: stream.write(" - %s\n" % member) else: stream.write("owners: []\n") def dump_cloud(self): self.dump_data(self.cloud, sys.stdout) def local_file(self): file = "%s/%s.yml" % (self.local_dir, self.group_key) return file def export(self): f = open(self.local_file(), 'w') self.dump_data(self.cloud, f) f.close() def load_local(self): file = self.local_file() if os.path.exists(file): self.local = yaml.load(open(file).read().decode('utf-8')) def diff(self): if not self.local.has_key('name'): self.load_local() for key in GROUP_PARAMS: if self.local.has_key(key) and self.cloud.has_key(key): if self.local[key] != self.cloud[key]: print colored("-%s: %s (cloud)" % (key, self.cloud[key]), 'red') print colored("+%s: %s (local)" % (key, self.local[key]), 'green') elif self.local.has_key(key): print colored("+%s: %s (local)" % (key, self.local[key]), 'green') elif self.cloud.has_key(key): print colored("-%s: %s (cloud)" % (key, self.cloud[key]), 'red') for key in ['members', 'managers', 'owners']: only_cloud = [x for x in self.cloud[key] if x not in self.local[key]] only_local = [x for x in self.local[key] if x not in self.cloud[key]] if len(only_cloud) or len(only_local): print "%s:" % key for x in only_cloud: print colored("- - %s (cloud)" % x, 'red') for x in only_local: print colored("+ - %s (local)" % x, 'green') def apply(self, sv): if not self.local.has_key('name'): self.load_local() body = {} update_keys = [] for key in GROUP_PARAMS: if key not in ['name', 'description', 'aliases']: if self.cloud[key] != self.local[key]: body[key] = self.local[key] if len(body) > 0: r = sv.settings_sv().update(groupUniqueId=self.group_key, body=body).execute() print "updated" else: print "no changes" def csv(self): if not self.local.has_key('name'): self.load_local() description = re.sub(r'\s*\[sateraito.*$', '', self.local['description']) return '"IU","%s","%s","%s","%s","%s"' % (self.local['email'], self.local['name'], ','.join(self.local['members']), ','.join(self.local['owners']), re.sub(r'"', '""', description)) def csv_header(): return '"command","email","name","members","owners","comment"' def main(): parser = argparse.ArgumentParser() parser.add_argument('operation', choices=['show', 'diff', 'export', 'apply', 'csv'], help='operationo') parser.add_argument('targets', nargs='+', help='domain or email list') parser.add_argument('--dir', help='local data directory', default='.') parser.add_argument('--encoding', choices=['utf-8', 'sjis'], help='csv output encoding', default='utf-8') args = parser.parse_args() sv = GaService() groups = [] for target in args.targets: if target.find('@') >= 0: g = GaGroup() g.set_group_key(target) groups.append(g) else: if args.operation == 'csv': groups.extend(sv.list_local_groups(target, args.dir)) else: groups.extend(sv.list_cloud_groups(target)) if args.operation == 'csv': print csv_header() for group in groups: group.set_local_dir(args.dir) if args.operation != 'csv': print group.group_key group.load_cloud(sv) if args.operation == 'show': group.dump_cloud() elif args.operation == 'export': group.export() elif args.operation == 'diff': group.diff() elif args.operation == 'apply': group.apply(sv) elif args.operation == 'csv': print group.csv().encode(args.encoding) if __name__ == '__main__': main()

35.217105

104

0.519055

1,167

10,706

4.658098

0.168809

0.041391

0.019868

0.014349

0.280905

0.180648

0.128403

0.116078

0.075975

0

0.003244

0.337848

10,706

303

105

35.333333

0.763577

0.00467

0

0.194656

0

0.141449

0.019242

0

null

0

0.072519

null

0.049618

0

null

0

null

0

1

0

1

a60183c4a0d01fe278e2d3f101040935e10e0734

3,716

py

Python

icekit/utils/search/search_indexes.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

52

2016-09-13T03:50:58.000Z

2022-02-23T16:25:08.000Z

icekit/utils/search/search_indexes.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

304

2016-08-11T14:17:30.000Z

2020-07-22T13:35:18.000Z

icekit/utils/search/search_indexes.py

ic-labs/django-icekit

c507ea5b1864303732c53ad7c5800571fca5fa94

[ "MIT" ]

12

2016-09-21T18:46:35.000Z

2021-02-15T19:37:50.000Z

from django.utils.text import capfirst from easy_thumbnails.exceptions import InvalidImageFormatError from easy_thumbnails.files import get_thumbnailer from haystack import indexes from haystack.utils import get_model_ct # Doesn't extend `indexes.Indexable` to avoid auto-detection for 'Search In' class AbstractLayoutIndex(indexes.SearchIndex): """ A search index for a publishable polymorphic model that implements ListableMixin and LayoutFieldMixin. Subclasses will need to mix in `indexes.Indexable` and implement `get_model(self)`. They may need to override the `text` field to specify a different template name. Derived classes must override the `get_model()` method to return the specific class (not an instance) that the search index will use. """ # Content text = indexes.CharField(document=True, use_template=True, template_name="search/indexes/icekit/default.txt") get_type = indexes.CharField() get_title = indexes.CharField(model_attr='get_title', boost=2.0) get_oneliner = indexes.CharField(model_attr='get_oneliner') boosted_search_terms = indexes.CharField(model_attr="get_boosted_search_terms", boost=2.0, null=True) # Meta get_absolute_url = indexes.CharField(model_attr='get_absolute_url') get_list_image_url = indexes.CharField() modification_date = indexes.DateTimeField() language_code = indexes.CharField() # SEO Translations meta_keywords = indexes.CharField() meta_description = indexes.CharField() meta_title = indexes.CharField() # We add this for autocomplete. content_auto = indexes.EdgeNgramField(model_attr='get_title') # facets # top-level result type search_types = indexes.MultiValueField(faceted=True) def index_queryset(self, using=None): """ Index published objects. """ return self.get_model().objects.published().select_related() def full_prepare(self, obj): """ Make django_ct equal to the type of get_model, to make polymorphic children show up in results. """ prepared_data = super(AbstractLayoutIndex, self).full_prepare(obj) prepared_data['django_ct'] = get_model_ct(self.get_model()) return prepared_data def prepare_get_type(self, obj): if hasattr(obj, 'get_type'): return unicode(obj.get_type()) return "" def prepare_get_list_image_url(self, obj): list_image = getattr(obj, "get_list_image", lambda x: None)() if list_image: # resize according to the `list_image` alias try: return get_thumbnailer(list_image)['list_image'].url except InvalidImageFormatError: pass return "" def prepare_modification_date(self, obj): return getattr(obj, "modification_date", None) def prepare_language_code(self, obj): return getattr(obj, "language_code", None) def prepare_meta_keywords(self, obj): return getattr(obj, "meta_keywords", None) def prepare_meta_description(self, obj): return getattr(obj, "meta_description", None) def prepare_meta_title(self, obj): return getattr(obj, "meta_title", None) def prepare_search_types(self, obj): r = [capfirst(obj.get_type_plural())] if hasattr(obj, 'is_educational') and obj.is_educational(): r.append('Education') return r def prepare(self, obj): data = super(AbstractLayoutIndex, self).prepare(obj) # ensure default boost amount for field_value_factor calculations. if not data.has_key('boost'): data['boost'] = 1.0 return data

35.730769

113

0.689451

462

3,716

5.344156

0.335498

0.071284

0.024301

0.040502

0.0968

0.032807

0

0.002068

0.219322

3,716

103

114

36.07767

0.849018

0.214478

0

0.034483

0

0.087358

0.020241

0

1

0.189655

false

0.017241

0.086207

0.758621

0

null

0

null

0

1

0

1

a60246e782926af300cad036aa0701ca98dcd72d

1,655

py

Python

CSC-291/Projects/bsearch_timer.py

FrancesCoronel/cs-hu

ecd103a525fd312146d3b6c69ee7c1452548c5e2

[ "MIT" ]

2

2016-12-05T06:15:34.000Z

2016-12-15T10:56:50.000Z

CSC-291/Projects/bsearch_timer.py

fvcproductions/CS-HU

ecd103a525fd312146d3b6c69ee7c1452548c5e2

[ "MIT" ]

null

CSC-291/Projects/bsearch_timer.py

fvcproductions/CS-HU

ecd103a525fd312146d3b6c69ee7c1452548c5e2

[ "MIT" ]

3

2019-04-06T01:45:54.000Z

2020-04-24T16:55:32.000Z

''' FVCproductions September 18, 2014 Python CSC291_Project3 ''' # Binary Search: (20 pts) # Implement binary search, submit it to the course website. You must write a # function bsearch that takes and list and an element to search for. This # function should return the index of the element if found and -1 otherwise. # # Note: Pay attention to the order of the paremeters specified above. # # Challenge (not mandatory): Learn about recursion and also write a function bsearchRecursive that # uses recursion to find the index of the value. from datetime import datetime # timer - starting time defined start_time = datetime.now() sortedList = [1,2,3,4,5] #sorted list target = 3 #element to search for print "sorted list: " + str(sortedList) print "\nelement to search for: " + str(target) # challenge bit def bsearch(blist, element): low = 0 high = len(blist)-1 while low <= high: mid = (low+high)/2 test = blist[mid] if element == test: return mid elif element < test: high = mid -1 else: low = mid +1 return -1 recursive_output = bsearch(sortedList, target) print "\nbsearch recursive - index of element: " + str(recursive_output) finish_time = datetime.now() difference_time = finish_time - start_time micro = difference_time.microseconds mili = (difference_time.microseconds)/(1000) print "\ntime it took to complete program in microseconds: " + str(micro) print "\ntime it took to complete program in miliseconds: " + str(mili)

22.671233

100

0.650151

215

1,655

4.95814

0.483721

0.022514

0.030957

0.033771

0.065666

0

0.024007

0.270091

1,655

73

101

22.671233

0.858444

0.346224

0

0.1801

0

null

0

0.037037

null

0.185185

0

null

0

null

0

1

0

1

a6037da7a2fe3008ebf40e96199ded29a7213caa

15,599

py

Python

src/stages.py

khalidm/vcf_annotation_pipeline

4939d1a92b87f29bacfa1521de63dd8d4283acdc

[ "BSD-3-Clause" ]

null

src/stages.py

khalidm/vcf_annotation_pipeline

4939d1a92b87f29bacfa1521de63dd8d4283acdc

[ "BSD-3-Clause" ]

null

src/stages.py

khalidm/vcf_annotation_pipeline

4939d1a92b87f29bacfa1521de63dd8d4283acdc

[ "BSD-3-Clause" ]

null

''' Individual stages of the pipeline implemented as functions from input files to output files. The run_stage function knows everything about submitting jobs and, given the state parameter, has full access to the state of the pipeline, such as config, options, DRMAA and the logger. ''' from utils import safe_make_dir from runner import run_stage import os PICARD_JAR = '$PICARD_HOME/lib/picard.jar' GATK_JAR = '$GATK_HOME/GenomeAnalysisTK.jar' def java_command(jar_path, mem_in_gb, command_args): '''Build a string for running a java command''' # Bit of room between Java's max heap memory and what was requested. # Allows for other Java memory usage, such as stack. java_mem = mem_in_gb - 2 return 'java -Xmx{mem}g -jar {jar_path} {command_args}'.format( jar_path=jar_path, mem=java_mem, command_args=command_args) def run_java(state, stage, jar_path, mem, args): command = java_command(jar_path, mem, args) run_stage(state, stage, command) class Stages(object): def __init__(self, state): self.state = state self.reference = self.get_options('ref_grch37') self.dbsnp_grch37 = self.get_options('dbsnp_grch37') self.mills_grch37 = self.get_options('mills_grch37') self.one_k_g_snps = self.get_options('one_k_g_snps') self.one_k_g_indels = self.get_options('one_k_g_indels') self.one_k_g_highconf_snps = self.get_options('one_k_g_highconf_snps') self.hapmap = self.get_options('hapmap') self.interval_grch37 = self.get_options('interval_grch37') self.CEU_mergeGvcf = self.get_options('CEU_mergeGvcf') self.GBR_mergeGvcf = self.get_options('GBR_mergeGvcf') self.FIN_mergeGvcf = self.get_options('FIN_mergeGvcf') self.SNPEFFJAR = self.get_options('SNPEFFJAR') self.SNPEFFCONF = self.get_options('SNPEFFCONF') def run_picard(self, stage, args): mem = int(self.state.config.get_stage_options(stage, 'mem')) return run_java(self.state, stage, PICARD_JAR, mem, args) def run_gatk(self, stage, args): mem = int(self.state.config.get_stage_options(stage, 'mem')) return run_java(self.state, stage, GATK_JAR, mem, args) def get_stage_options(self, stage, *options): return self.state.config.get_stage_options(stage, *options) def get_options(self, *options): return self.state.config.get_options(*options) def original_vcf(self, output): '''Original vcf file''' pass def decompose_vcf(self, inputs, vcf_out, sample_id): '''Decompose and normalize the input raw VCF file using Vt''' vcf_in = inputs cores = self.get_stage_options('decompose_vcf', 'cores') command = 'cat {vcf_in} | vt decompose -s - |' \ 'vt normalize -r {reference} - > {vcf_out}' .format(vcf_in=vcf_in, reference=self.reference, vcf=vcf_out) run_stage(self.state, 'decompose_vcf', command) def annotate_vep(self, vcf_in, vcf_out): '''Annotate VCF file using VEP''' cores = self.get_stage_options('annotate_vep', 'cores') command = 'perl $VEPPATH/variant_effect_predictor.pl ' \ '--cache -i {vcf_in} --format vcf -o {vcf_out} --force_overwrite '\ '--vcf --fork {threads} --everything --offline --coding_only --no_intergenic '\ '--plugin LoF,human_ancestor_fa:~/.vep/homo_sapiens/77_GRCh37/human_ancestor.fa.gz '\ '-custom ~/reference/ExAC0.3/ExAC.r0.3.sites.vep.vcf.gz,ExAC,vcf,exact,0,AF,AC,AC_AFR,'\ 'AC_AMR,AC_Adj,AC_EAS,AC_FIN,AC_Het,AC_Hom,AC_NFE,AC_OTH,AC_SAS,AF,AN,AN_AFR,AN_AMR,AN_Adj,'\ 'AN_EAS,AN_FIN,AN_NFE,AN_OTH,AN_SAS'.format(vcf_in=vcf_in, vcf_out=vcf_out, threads=cores) self.run_picard('annotate_vep', command) def annotate_snpeff(self, vcf_in, vcf_out): '''Annotate VCF file using SnpEff''' cores = self.get_stage_options('annotate_snpeff', 'cores') command = 'java -jar {snpeffjar} eff -c {snpeffconf} -canon hg19 {vcf_in} > '\ '{vcf_out}'.format(snpeffjar=self.snpeffjar,snpeffconf=self.snpeffconf,vcf_in=vcf_in, vcf_out=vcf_out) self.run_picard('annotate_snpeff', command) def mark_duplicates_picard(self, bam_in, outputs): '''Mark duplicate reads using Picard''' dedup_bam_out, metrics_out = outputs picard_args = 'MarkDuplicates INPUT={bam_in} OUTPUT={dedup_bam_out} ' \ 'METRICS_FILE={metrics_out} VALIDATION_STRINGENCY=LENIENT ' \ 'MAX_RECORDS_IN_RAM=5000000 ASSUME_SORTED=True ' \ 'CREATE_INDEX=True'.format(bam_in=bam_in, dedup_bam_out=dedup_bam_out, metrics_out=metrics_out) self.run_picard('mark_duplicates_picard', picard_args) def chrom_intervals_gatk(self, inputs, intervals_out): '''Generate chromosome intervals using GATK''' bam_in, _metrics_dup = inputs cores = self.get_stage_options('chrom_intervals_gatk', 'cores') gatk_args = '-T RealignerTargetCreator -R {reference} -I {bam} ' \ '--num_threads {threads} --known {mills_grch37} ' \ '--known {one_k_g_indels} -L {interval_grch37} ' \ '-o {out}'.format(reference=self.reference, bam=bam_in, threads=cores, mills_grch37=self.mills_grch37, one_k_g_indels=self.one_k_g_indels, interval_grch37=self.interval_grch37, out=intervals_out) self.run_gatk('chrom_intervals_gatk', gatk_args) def local_realignment_gatk(self, inputs, bam_out): '''Local realign reads using GATK''' target_intervals_in, bam_in = inputs gatk_args = "-T IndelRealigner -R {reference} -I {bam} -L {interval_grch37} " \ "-targetIntervals {target_intervals} -known {mills_grch37} " \ "-known {one_k_g_indels} " \ "-o {out}".format(reference=self.reference, bam=bam_in, mills_grch37=self.mills_grch37, one_k_g_indels=self.one_k_g_indels, interval_grch37=self.interval_grch37, target_intervals=target_intervals_in, out=bam_out) self.run_gatk('local_realignment_gatk', gatk_args) # XXX I'm not sure that --num_cpu_threads_per_data_thread has any benefit here def base_recalibration_gatk(self, bam_in, outputs): '''Base recalibration using GATK''' csv_out, log_out = outputs gatk_args = "-T BaseRecalibrator -R {reference} -I {bam} " \ "--num_cpu_threads_per_data_thread 4 --knownSites {dbsnp_grch37} " \ "--knownSites {mills_grch37} --knownSites {one_k_g_indels} " \ "-log {log} -o {out}".format(reference=self.reference, bam=bam_in, mills_grch37=self.mills_grch37, dbsnp_grch37=self.dbsnp_grch37, one_k_g_indels=self.one_k_g_indels, log=log_out, out=csv_out) self.run_gatk('base_recalibration_gatk', gatk_args) # XXX I'm not sure that --num_cpu_threads_per_data_thread has any benefit here def print_reads_gatk(self, inputs, bam_out): '''Print reads using GATK''' [csv_in, _log], bam_in = inputs gatk_args = "-T PrintReads -R {reference} -I {bam} --BQSR {recal_csv} " \ "-o {out} --num_cpu_threads_per_data_thread 4".format(reference=self.reference, bam=bam_in, recal_csv=csv_in, out=bam_out) self.run_gatk('print_reads_gatk', gatk_args) def call_variants_gatk(self, bam_in, vcf_out): '''Call variants using GATK''' gatk_args = "-T HaplotypeCaller -R {reference} --min_base_quality_score 20 " \ "--variant_index_parameter 128000 --emitRefConfidence GVCF " \ "--standard_min_confidence_threshold_for_calling 30.0 " \ "--num_cpu_threads_per_data_thread 8 " \ "--variant_index_type LINEAR " \ "--standard_min_confidence_threshold_for_emitting 30.0 " \ "-I {bam} -L {interval_list} -o {out}".format(reference=self.reference, bam=bam_in, interval_list=self.interval_grch37, out=vcf_out) self.run_gatk('call_variants_gatk', gatk_args) def combine_gvcf_gatk(self, vcf_files_in, vcf_out): '''Combine G.VCF files for all samples using GATK''' g_vcf_files = ' '.join(['--variant ' + vcf for vcf in vcf_files_in]) gatk_args = "-T CombineGVCFs -R {reference} " \ "--disable_auto_index_creation_and_locking_when_reading_rods " \ "{g_vcf_files} -o {vcf_out}".format(reference=self.reference, g_vcf_files=g_vcf_files, vcf_out=vcf_out) self.run_gatk('combine_gvcf_gatk', gatk_args) def genotype_gvcf_gatk(self, merged_vcf_in, vcf_out): '''Genotype G.VCF files using GATK''' cores = self.get_stage_options('genotype_gvcf_gatk', 'cores') gatk_args = "-T GenotypeGVCFs -R {reference} " \ "--disable_auto_index_creation_and_locking_when_reading_rods " \ "--num_threads {cores} --variant {merged_vcf} --out {vcf_out} " \ "--variant {CEU_mergeGvcf} --variant {GBR_mergeGvcf} " \ "--variant {FIN_mergeGvcf}".format(reference=self.reference, cores=cores, merged_vcf=merged_vcf_in, vcf_out=vcf_out, CEU_mergeGvcf=self.CEU_mergeGvcf, GBR_mergeGvcf=self.GBR_mergeGvcf, FIN_mergeGvcf=self.FIN_mergeGvcf) self.run_gatk('genotype_gvcf_gatk', gatk_args) def snp_recalibrate_gatk(self, genotype_vcf_in, outputs): '''SNP recalibration using GATK''' recal_snp_out, tranches_snp_out, snp_plots_r_out = outputs cores = self.get_stage_options('snp_recalibrate_gatk', 'cores') gatk_args = "-T VariantRecalibrator --disable_auto_index_creation_and_locking_when_reading_rods " \ "-R {reference} --minNumBadVariants 5000 --num_threads {cores} " \ "-resource:hapmap,known=false,training=true,truth=true,prior=15.0 {hapmap} " \ "-resource:omni,known=false,training=true,truth=true,prior=12.0 {one_k_g_snps} " \ "-resource:1000G,known=false,training=true,truth=false,prior=10.0 {one_k_g_highconf_snps} " \ "-an QD -an MQRankSum -an ReadPosRankSum -an FS -an InbreedingCoeff " \ "-input {genotype_vcf} --recal_file {recal_snp} --tranches_file {tranches_snp} " \ "-rscriptFile {snp_plots} -mode SNP".format(reference=self.reference, cores=cores, hapmap=self.hapmap, one_k_g_snps=self.one_k_g_snps, one_k_g_highconf_snps=self.one_k_g_highconf_snps, genotype_vcf=genotype_vcf_in, recal_snp=recal_snp_out, tranches_snp=tranches_snp_out, snp_plots=snp_plots_r_out) self.run_gatk('snp_recalibrate_gatk', gatk_args) def indel_recalibrate_gatk(self, genotype_vcf_in, outputs): '''INDEL recalibration using GATK''' recal_indel_out, tranches_indel_out, indel_plots_r_out = outputs cores = self.get_stage_options('indel_recalibrate_gatk', 'cores') gatk_args = "-T VariantRecalibrator --disable_auto_index_creation_and_locking_when_reading_rods " \ "-R {reference} --minNumBadVariants 5000 --num_threads {cores} " \ "-resource:mills,known=false,training=true,truth=true,prior=12.0 {mills_grch37} " \ "-resource:1000G,known=false,training=true,truth=true,prior=10.0 {one_k_g_indels} " \ "-an MQRankSum -an ReadPosRankSum -an FS -input {genotype_vcf} -recalFile {recal_indel} " \ "-tranchesFile {tranches_indel} -rscriptFile {indel_plots} " \ " -mode INDEL".format(reference=self.reference, cores=cores, mills_grch37=self.mills_grch37, one_k_g_indels=self.one_k_g_indels, genotype_vcf=genotype_vcf_in, recal_indel=recal_indel_out, tranches_indel=tranches_indel_out, indel_plots=indel_plots_r_out) self.run_gatk('indel_recalibrate_gatk', gatk_args) def apply_snp_recalibrate_gatk(self, inputs, vcf_out): '''Apply SNP recalibration using GATK''' genotype_vcf_in, [recal_snp, tranches_snp] = inputs cores = self.get_stage_options('apply_snp_recalibrate_gatk', 'cores') gatk_args = "-T ApplyRecalibration --disable_auto_index_creation_and_locking_when_reading_rods " \ "-R {reference} --ts_filter_level 99.5 --excludeFiltered --num_threads {cores} " \ "-input {genotype_vcf} -recalFile {recal_snp} -tranchesFile {tranches_snp} " \ "-mode SNP -o {vcf_out}".format(reference=self.reference, cores=cores, genotype_vcf=genotype_vcf_in, recal_snp=recal_snp, tranches_snp=tranches_snp, vcf_out=vcf_out) self.run_gatk('apply_snp_recalibrate_gatk', gatk_args) def apply_indel_recalibrate_gatk(self, inputs, vcf_out): '''Apply INDEL recalibration using GATK''' genotype_vcf_in, [recal_indel, tranches_indel] = inputs cores = self.get_stage_options('apply_indel_recalibrate_gatk', 'cores') gatk_args = "-T ApplyRecalibration --disable_auto_index_creation_and_locking_when_reading_rods " \ "-R {reference} --ts_filter_level 99.0 --excludeFiltered --num_threads {cores} " \ "-input {genotype_vcf} -recalFile {recal_indel} -tranchesFile {tranches_indel} " \ "-mode INDEL -o {vcf_out}".format(reference=self.reference, cores=cores, genotype_vcf=genotype_vcf_in, recal_indel=recal_indel, tranches_indel=tranches_indel, vcf_out=vcf_out) self.run_gatk('apply_indel_recalibrate_gatk', gatk_args) def combine_variants_gatk(self, inputs, vcf_out): '''Combine variants using GATK''' recal_snp, [recal_indel] = inputs cores = self.get_stage_options('combine_variants_gatk', 'cores') gatk_args = "-T CombineVariants -R {reference} --disable_auto_index_creation_and_locking_when_reading_rods " \ "--num_threads {cores} --genotypemergeoption UNSORTED --variant {recal_snp} " \ "--variant {recal_indel} -o {vcf_out}".format(reference=self.reference, cores=cores, recal_snp=recal_snp, recal_indel=recal_indel, vcf_out=vcf_out) self.run_gatk('combine_variants_gatk', gatk_args) def select_variants_gatk(self, combined_vcf, vcf_out): '''Select variants using GATK''' gatk_args = "-T SelectVariants -R {reference} --disable_auto_index_creation_and_locking_when_reading_rods " \ "--variant {combined_vcf} -select 'DP > 100' -o {vcf_out}".format(reference=self.reference, combined_vcf=combined_vcf, vcf_out=vcf_out) self.run_gatk('select_variants_gatk', gatk_args)

55.710714

118

0.640233

1,973

15,599

4.708059

0.156614

0.024545

0.012919

0.016579

0.526321

0.451071

0.365917

0.281516

0.250296

0.182689

0

0.011508

0.253542

15,599

279

119

55.910394

0.786242

0.017373

0

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0.034483

0.3365

0.129165

0

null

0.004926

0.014778

null

0.009852

0

null

0

null

0

1

0

1

a603ad8008600d2c8038cd2fcf8557be817d480f

1,959

py

Python

chrome/test/pyautolib/generate_docs.py

nagineni/chromium-crosswalk

5725642f1c67d0f97e8613ec1c3e8107ab53fdf8

[ "BSD-3-Clause-No-Nuclear-License-2014", "BSD-3-Clause" ]

231

2015-01-08T09:04:44.000Z

2021-12-30T03:03:10.000Z

chrome/test/pyautolib/generate_docs.py

1065672644894730302/Chromium

239dd49e906be4909e293d8991e998c9816eaa35

[ "BSD-3-Clause" ]

5

2015-03-27T14:29:23.000Z

2019-09-25T13:23:12.000Z

chrome/test/pyautolib/generate_docs.py

1065672644894730302/Chromium

239dd49e906be4909e293d8991e998c9816eaa35

[ "BSD-3-Clause" ]

268

2015-01-21T05:53:28.000Z

2022-03-25T22:09:01.000Z

#!/usr/bin/env python # Copyright (c) 2011 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. import optparse import os import pydoc import shutil import sys def main(): parser = optparse.OptionParser() parser.add_option('-w', '--write', dest='dir', metavar='FILE', default=os.path.join(os.getcwd(), 'pyauto_docs'), help=('Directory path to write all of the documentation. ' 'Defaults to "pyauto_docs" in current directory.')) parser.add_option('-p', '--pyautolib', dest='pyautolib', metavar='FILE', default=os.getcwd(), help='Location of pyautolib directory') (options, args) = parser.parse_args() if not os.path.isdir(options.dir): os.makedirs(options.dir) # Add these paths so pydoc can find everything sys.path.append(os.path.join(options.pyautolib, '../../../third_party/')) sys.path.append(options.pyautolib) # Get a snapshot of the current directory where pydoc will export the files previous_contents = set(os.listdir(os.getcwd())) pydoc.writedocs(options.pyautolib) current_contents = set(os.listdir(os.getcwd())) if options.dir == os.getcwd(): print 'Export complete, files are located in %s' % options.dir return 1 new_files = current_contents.difference(previous_contents) for file_name in new_files: basename, extension = os.path.splitext(file_name) if extension == '.html': # Build the complete path full_path = os.path.join(os.getcwd(), file_name) existing_file_path = os.path.join(options.dir, file_name) if os.path.isfile(existing_file_path): os.remove(existing_file_path) shutil.move(full_path, options.dir) print 'Export complete, files are located in %s' % options.dir return 0 if __name__ == '__main__': sys.exit(main())

33.775862

78

0.671261

267

1,959

4.805243

0.419476

0.032736

0.031177

0.154326

0.126267

0.082619

0

0.003868

0.20827

1,959

57

79

34.368421

0.82334

0.16488

0

0.051282

0

0.181093

0.012891

0

null

0

0.128205

null

0.051282

0

null

0

null

0

1

0

1

a6053be31232e1f11d342234014c05d2dc6f686a

1,112

py

Python

courses/migrations/0009_enrollment_statuses.py

mitodl/mit-xpro

981d6c87d963837f0b9ccdd996067fe81394dba4

[ "BSD-3-Clause" ]

10

2019-02-20T18:41:32.000Z

2021-07-26T10:39:58.000Z

courses/migrations/0009_enrollment_statuses.py

mitodl/mit-xpro

981d6c87d963837f0b9ccdd996067fe81394dba4

[ "BSD-3-Clause" ]

2,226

2019-02-20T20:03:57.000Z

2022-03-31T11:18:56.000Z

courses/migrations/0009_enrollment_statuses.py

mitodl/mit-xpro

981d6c87d963837f0b9ccdd996067fe81394dba4

[ "BSD-3-Clause" ]

4

2020-08-26T19:26:02.000Z

2021-03-09T17:46:47.000Z

# Generated by Django 2.1.7 on 2019-05-24 19:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [("courses", "0008_enrollment_company")] operations = [ migrations.AddField( model_name="courserunenrollment", name="active", field=models.BooleanField( default=True, help_text="Indicates whether or not this enrollment should be considered active", ), ), migrations.AddField( model_name="courserunenrollment", name="edx_enrolled", field=models.BooleanField( default=False, help_text="Indicates whether or not the request succeeded to enroll via the edX API", ), ), migrations.AddField( model_name="programenrollment", name="active", field=models.BooleanField( default=True, help_text="Indicates whether or not this enrollment should be considered active", ), ), ]

30.888889

101

0.571942

104

1,112

6.028846

0.528846

0.086124

0.110048

0.129187

0.553429

0.354067

0

0.026027

0.343525

1,112

35

102

31.771429

0.832877

0.040468

0

0.689655

1

0

0.297653

0.021596

0

1

0

false

0

0.034483

0

0.137931

0

null

0

1

0

null

0

1

a611cacdfe5dbb06f96220faa6f86ba176c65626

918

py

Python

Pacote Download/Ex043_12_IMC.py

BrunoCruzIglesias/Python

01465632a8471271e994eb4565a14a547db6578d

[ "MIT" ]

null

Pacote Download/Ex043_12_IMC.py

BrunoCruzIglesias/Python

01465632a8471271e994eb4565a14a547db6578d

[ "MIT" ]

null

Pacote Download/Ex043_12_IMC.py

BrunoCruzIglesias/Python

01465632a8471271e994eb4565a14a547db6578d

[ "MIT" ]

null

# Cálculo de IMC print("Vamos calcular seu IMC?") nome = input("Digite o seu nome: ") peso = float(input("Olá, {}, agora digite seu peso (em Kg, Ex: 68.9): " .format(nome))) altura = float(input("Digite sua altura (em m, Ex: 1.80): ")) media = peso / (altura * altura) print('Seu IMC é: {:.1f}'.format(media)) if media < 18.5: print("Abaixo do peso") elif media >= 18.5 and media <= 24.9: # poderia ser feito: elif 18.5 <= media < 25: /o python aceita esse tipo/ print("Você está no seu peso ideal") elif media>=25.0 and media<=29.9: # elif 25 <= media < 30: print("Você está levemente acima do peso") elif media>=30.0 and media<=34.9: # elif 30 <= media < 35: print("Obesidade Grau 1") elif media>=35.0 and media<=39.9: # elif 35 <= media < 40: print("Obesidade Grau 2") else: print("Obesidade grau 3(mórbida)")

45.9

117

0.581699

144

918

3.708333

0.444444

0.067416

0.050562

0.05618

0

0.079646

0.261438

918

20

118

45.9

0.707965

0.236383

0

0.396552

0

1

0

false

0

0.444444

0

null

0

null

0

1

0

1

a611d310e0340c190260eaa06e81db9198238521

399

py

Python

2020/day2/password.py

DanielKillenberger/AdventOfCode

e9b40c1ae09ee4bffbbf6acca1a2778aed5f1561

[ "MIT" ]

null

2020/day2/password.py

DanielKillenberger/AdventOfCode

e9b40c1ae09ee4bffbbf6acca1a2778aed5f1561

[ "MIT" ]

null

2020/day2/password.py

DanielKillenberger/AdventOfCode

e9b40c1ae09ee4bffbbf6acca1a2778aed5f1561

[ "MIT" ]

null

with open("input.txt", "r") as input_file: input = input_file.read().split("\n") passwords = list(map(lambda line: [list(map(int, line.split(" ")[0].split("-"))), line.split(" ")[1][0], line.split(" ")[2]], input)) valid = 0 for password in passwords: count_letter = password[2].count(password[1]) if password[0][0] <= count_letter <= password[0][1]: valid += 1 print(valid)

28.5

133

0.611529

60

399

4

0.45

0.1125

0.158333

0

0.035821

0.160401

399

13

134

30.692308

0.680597

0

0.0401

0

1

0

false

0.444444

0

0.111111

0

null

0

null

0

1

0

1

a611ec7c6de69b5cd4939c8bb49718b4e41ba387

4,361

py

Python

scripts/gen_cert.py

SUNET/sunet-auth-server

a85256917c4159fd1c8eb1f6a6ed28777b64d403

[ "BSD-2-Clause" ]

1

2021-05-26T02:37:10.000Z

scripts/gen_cert.py

SUNET/sunet-auth-server

a85256917c4159fd1c8eb1f6a6ed28777b64d403

[ "BSD-2-Clause" ]

1

2021-05-17T08:32:15.000Z

2021-05-17T08:32:16.000Z

scripts/gen_cert.py

SUNET/sunet-auth-server

a85256917c4159fd1c8eb1f6a6ed28777b64d403

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- import argparse import os import sys from base64 import b64encode from datetime import datetime, timedelta from cryptography import x509 from cryptography.hazmat.primitives import serialization, hashes from cryptography.hazmat.primitives.asymmetric import rsa from cryptography.hazmat.primitives.hashes import SHA256 from cryptography.x509 import NameOID __author__ = 'lundberg' def main(args: argparse.Namespace): # Generate key key = rsa.generate_private_key(public_exponent=65537, key_size=4096) passphrase = serialization.NoEncryption() if args.passphrase is not None: passphrase = serialization.BestAvailableEncryption(args.passphrase.encode()) private_bytes = key.private_bytes( encoding=serialization.Encoding.PEM, format=serialization.PrivateFormat.TraditionalOpenSSL, encryption_algorithm=passphrase, ) # Write key if args.out is not None: key_path = f'{args.out}{os.sep}{args.common_name}.key' if os.path.exists(key_path): sys.stderr.write(f'{key_path} already exists\n') sys.exit(1) with open(key_path, 'wb') as f: f.write(private_bytes) else: sys.stdout.writelines(f'Private key for {args.common_name}:\n') sys.stdout.writelines(private_bytes.decode('utf-8')) sys.stdout.writelines('\n') # Various details about who we are. For a self-signed certificate the # subject and issuer are always the same. subject = issuer = x509.Name( [ x509.NameAttribute(NameOID.COUNTRY_NAME, args.country), x509.NameAttribute(NameOID.STATE_OR_PROVINCE_NAME, args.province), x509.NameAttribute(NameOID.LOCALITY_NAME, args.locality), x509.NameAttribute(NameOID.ORGANIZATION_NAME, args.organization), x509.NameAttribute(NameOID.COMMON_NAME, args.common_name), ] ) alt_names = [x509.DNSName(alt_name) for alt_name in args.alt_names] cert = ( x509.CertificateBuilder() .subject_name(subject) .issuer_name(issuer) .public_key(key.public_key()) .serial_number(x509.random_serial_number()) .not_valid_before(datetime.utcnow()) .not_valid_after(datetime.utcnow() + timedelta(days=args.expires)) .add_extension( x509.SubjectAlternativeName(alt_names), critical=False, # Sign our certificate with our private key ) .sign(key, hashes.SHA256()) ) public_bytes = cert.public_bytes(serialization.Encoding.PEM) # Write certificate if args.out is not None: cert_path = f'{args.out}{os.sep}{args.common_name}.crt' if os.path.exists(cert_path): sys.stderr.write(f'{cert_path} already exists\n') sys.exit(1) with open(cert_path, 'wb') as f: f.write(public_bytes) else: sys.stdout.writelines(f'Certificate for {args.common_name}:\n') sys.stdout.writelines(public_bytes.decode('utf-8')) sys.stdout.writelines('\n') # Print additional info sys.stdout.writelines('cert#S256 fingerprint:\n') sys.stdout.writelines(b64encode(cert.fingerprint(algorithm=SHA256())).decode('utf-8')) sys.stdout.writelines('\n') if __name__ == '__main__': parser = argparse.ArgumentParser(description='Generate key and cert') parser.add_argument('--country', '-c', default='SE', help='country (default: SE)', type=str) parser.add_argument('--province', '-p', default='Stockholm', help='province (default: Stockholm)', type=str) parser.add_argument('--locality', '-l', default='Stockholm', help='locality (default: Stockholm)', type=str) parser.add_argument('--organization', '-o', default='Sunet', help='organization (default: Sunet)', type=str) parser.add_argument('--common-name', '-cn', help='common name', type=str, required=True) parser.add_argument('--expires', '-e', default=365, help='expires in X days (default: 365)', type=int) parser.add_argument('--alt-names', help='alternative names', nargs='*', default=[], type=str) parser.add_argument('--passphrase', help='passphrase for key', nargs='?', default=None, type=str) parser.add_argument('--out', help='output directory', nargs='?', default=None, type=str) main(args=parser.parse_args())

43.178218

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0.677368

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4,361

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0.028105

0.059334

0.03331

0.236294

0.176266

0.133241

0.095073

0.045108

0

0.021234

0.190094

4,361

100

113

43.61

0.794734

0.053657

0

0.108434

0

0.15323

0.029626

0

1

0.012048

false

0.060241

0.120482

0

0.13253

0.024096

0

null

0

null

0

1

0

1

a611f0ca7daf79a9c49d9bcc01c2d037698b5b57

574

py

Python

tests/apis/test_files.py

ninoseki/uzen

93726f22f43902e17b22dd36142dac05171d0d84

[ "MIT" ]

76

2020-02-27T06:36:27.000Z

2022-03-10T20:18:03.000Z

tests/apis/test_files.py

ninoseki/uzen

93726f22f43902e17b22dd36142dac05171d0d84

[ "MIT" ]

33

2020-03-13T02:04:14.000Z

2022-03-04T02:06:11.000Z

tests/apis/test_files.py

ninoseki/uzen

93726f22f43902e17b22dd36142dac05171d0d84

[ "MIT" ]

6

2020-03-17T16:42:25.000Z

2021-04-27T06:35:46.000Z

import asyncio import pytest from fastapi.testclient import TestClient from app.models.script import Script @pytest.mark.usefixtures("scripts_setup") def test_files(client: TestClient, event_loop: asyncio.AbstractEventLoop): first = event_loop.run_until_complete(Script.all().first()) sha256 = first.file_id response = client.get(f"/api/files/{sha256}") assert response.status_code == 200 def test_files_404(client: TestClient, event_loop: asyncio.AbstractEventLoop): response = client.get("/api/files/404") assert response.status_code == 404

27.333333

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75

574

5.68

0.493333

0.06338

0.056338

0.117371

0.230047

0

0.036

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574

20

79

28.7

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0.153846

false

0

0.307692

0

0.461538

0

null

0

null

0

1

0

1

a616479ff75877116910e729d7edffd6c5271108

278

py

Python

21. generadores.py

JSNavas/CursoPython2.7

d1f9170dbf897b6eb729f9696a208880e33c550b

[ "MIT" ]

null

21. generadores.py

JSNavas/CursoPython2.7

d1f9170dbf897b6eb729f9696a208880e33c550b

[ "MIT" ]

null

21. generadores.py

JSNavas/CursoPython2.7

d1f9170dbf897b6eb729f9696a208880e33c550b

[ "MIT" ]

null

lista = ["bienvenido "] ciclo = (c * 4 for c in lista) print ciclo print ciclo.next() for cadena in ciclo: print cadena print n = input("Factorial de: ") def factorial(n): i = 1 while n > 1: i = n * i yield i n -= 1 for fact in factorial(n): print fact

8.6875

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0.600719

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278

3.553191

0.425532

0.11976

0

0.020101

0.284173

278

31

8.967742

0.819095

0

0.092251

0

null

0

null

0.3125

0

null

0

null

0

1

0

1

a6210dfe559293cf9f1af6eef76873ac94d75c61

468

py

Python

submissions/Flanagin/myLogic.py

dysomni/aima-python

c67104e50007ec5ac2a9aa37f0cb972cb6315528

[ "MIT" ]

null

submissions/Flanagin/myLogic.py

dysomni/aima-python

c67104e50007ec5ac2a9aa37f0cb972cb6315528

[ "MIT" ]

null

submissions/Flanagin/myLogic.py

dysomni/aima-python

c67104e50007ec5ac2a9aa37f0cb972cb6315528

[ "MIT" ]

null

music = { 'kb': ''' Instrument(Flute) Piece(Undine, Reinecke) Piece(Carmen, Bourne) (Instrument(x) & Piece(w, c) & Era(c, r)) ==> Program(w) Era(Reinecke, Romantic) Era(Bourne, Romantic) ''', 'queries': ''' Program(x) ''', } life = { 'kb': ''' Musician(x) ==> Stressed(x) (Student(x) & Text(y)) ==> Stressed(x) Musician(Heather) ''', 'queries': ''' Stressed(x) ''' } Examples = { 'music': music, 'life': life }

11.414634

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468

4.764706

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0

0.24359

468

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11.414634

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0

0.259259

0

0.037037

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0

1

0

false

0

null

0

1

0

null

0

1

a62f20a3565292350f831b63d64b71a76ad1a913

354

py

Python

modules/seloger/constants.py

Phyks/Flatisfy

9e495bb63ec32686e6dc6be566da9672ad014880

[ "MIT" ]

15

2017-06-07T07:17:47.000Z

2021-04-22T21:04:32.000Z

modules/seloger/constants.py

Phyks/Flatisfy

9e495bb63ec32686e6dc6be566da9672ad014880

[ "MIT" ]

15

2017-06-13T11:12:02.000Z

2021-03-27T12:28:42.000Z

modules/seloger/constants.py

Phyks/Flatisfy

9e495bb63ec32686e6dc6be566da9672ad014880

[ "MIT" ]

5

2017-09-23T20:13:34.000Z

2021-01-16T09:17:09.000Z

from woob.capabilities.housing import POSTS_TYPES, HOUSE_TYPES TYPES = {POSTS_TYPES.RENT: 1, POSTS_TYPES.SALE: 2, POSTS_TYPES.FURNISHED_RENT: 1, POSTS_TYPES.VIAGER: 5} RET = {HOUSE_TYPES.HOUSE: '2', HOUSE_TYPES.APART: '1', HOUSE_TYPES.LAND: '4', HOUSE_TYPES.PARKING: '3', HOUSE_TYPES.OTHER: '10'}

27.230769

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354

4.458333

0.479167

0.280374

0.093458

0.140187

0

0.037037

0.237288

354

12

63

29.5

0.755556

0

0.016949

0

1

0

false

0

0.1

0

0.1

0

null

1

0

null

0

1

a6340747773815299adf15817934a33c2b1bc670

314

py

Python

Chapter 07/Chap07_Example7.71.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 07/Chap07_Example7.71.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 07/Chap07_Example7.71.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

myl1 = [] num = int(input("Enter the number of elements: ")) for loop in range(num): myl1.append(input(f"Enter element at index {loop} : ")) print(myl1) print(type(myl1)) myt1 = tuple(myl1) print(myt1) print(type(myt1)) print("The elements of tuple object are: ") for loop in myt1: print(loop)

20.933333

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0.656051

49

314

4.204082

0.489796

0.131068

0.087379

0

0.035573

0.194268

314

15

62

20.933333

0.778656

0

0.304762

0

1

0

false

0

0.5

0

null

0

null

0

1

0

1

a634a7d59658a71a40ac1013ecebacf7bdf8218a

967

py

Python

packages/artfx/mayaLib/tests/maya_test.py

Soulayrol/Pipeline

d0a2c834c3772198f0ca5f0ba6ea8b5e41a419e7

[ "MIT" ]

null

packages/artfx/mayaLib/tests/maya_test.py

Soulayrol/Pipeline

d0a2c834c3772198f0ca5f0ba6ea8b5e41a419e7

[ "MIT" ]

null

packages/artfx/mayaLib/tests/maya_test.py

Soulayrol/Pipeline

d0a2c834c3772198f0ca5f0ba6ea8b5e41a419e7

[ "MIT" ]

null

import os import sys import maya.standalone import mayaLib print("=" * 30) print("This is mayaLib package test") print("=" * 30) print("Initializing maya standalone ...") maya.standalone.initialize(name="python") # Create engine maya_engine = mayaLib.MayaEngine() print("Engine : " + str(maya_engine)) # Get engine path print("Current file location : " + str(maya_engine.get_file_path())) # Save maya_engine_scene = os.path.join(os.path.join(os.environ["USERPROFILE"]), "Desktop", "test.ma") maya_engine.save(maya_engine_scene) print("Current file location after save : " + maya_engine.get_file_path()) # Open as maya_engine.open_as(maya_engine.get_file_path()) print("Open as ") print("Current file location after open as : " + maya_engine.get_file_path()) # Open maya_engine.open(maya_engine_scene) print("Current file location after open : " + maya_engine.get_file_path()) print("Uninitialized maya standalone ...") maya.standalone.uninitialize() sys.exit(0)

28.441176

95

0.75181

139

967

5.035971

0.280576

0.185714

0.111429

0.121429

0.365714

0.335714

0.202857

0.125714

0

0.005787

0.106515

967

33

96

29.30303

0.804398

0.048604

0

0.086957

0

0.300875

0

1

0

false

0

0.173913

0

0.173913

0.478261

0

null

0

null

0

1

0

1

a6359dcbaf8a3e9343cefe0d8af4e3a9e190144b

6,094

py

Python

examples/openmdao.examples.mdao/openmdao/examples/mdao/sellar_BLISS.py

swryan/OpenMDAO-Framework

f50d60e1a8cadac7fe03d26ffad5fb660b2a15ec

[ "Apache-2.0" ]

null

examples/openmdao.examples.mdao/openmdao/examples/mdao/sellar_BLISS.py

swryan/OpenMDAO-Framework

f50d60e1a8cadac7fe03d26ffad5fb660b2a15ec

[ "Apache-2.0" ]

null

examples/openmdao.examples.mdao/openmdao/examples/mdao/sellar_BLISS.py

swryan/OpenMDAO-Framework

f50d60e1a8cadac7fe03d26ffad5fb660b2a15ec

[ "Apache-2.0" ]

null

""" Solution of the Sellar analytical problem using classic BLISS. (Bi-Level Integrated System Synthesis) MDA solved with a Broyden solver. Global sensitivity calculated by finite-differencing the MDA-coupled system. The MDA should be replaced with solution of the GSE to fully match the original Sobiesky-Agte implementation. """ from openmdao.main.api import Assembly, SequentialWorkflow from openmdao.lib.datatypes.api import Float, Array from openmdao.lib.differentiators.finite_difference import FiniteDifference from openmdao.lib.drivers.api import CONMINdriver, BroydenSolver, \ SensitivityDriver, FixedPointIterator from openmdao.lib.optproblems import sellar class SellarBLISS(Assembly): """ Optimization of the Sellar problem using the BLISS algorithm Disciplines coupled with FixedPointIterator. """ z_store = Array([0,0],dtype=Float) x1_store = Float(0.0) def configure(self): """ Creates a new Assembly with this problem Optimal Design at (1.9776, 0, 0) Optimal Objective = 3.18339""" # Disciplines self.add('dis1', sellar.Discipline1()) self.add('dis2', sellar.Discipline2()) objective = '(dis1.x1)**2 + dis1.z2 + dis1.y1 + exp(-dis2.y2)' constraint1 = 'dis1.y1 > 3.16' constraint2 = 'dis2.y2 < 24.0' # Top level is Fixed-Point Iteration self.add('driver', FixedPointIterator()) self.driver.add_parameter('dis1.x1', low= 0.0, high=10.0, start=1.0) self.driver.add_parameter(['dis1.z1','dis2.z1'], low=-10.0, high=10.0, start=5.0) self.driver.add_parameter(['dis1.z2','dis2.z2'], low= 0.0, high=10.0,start=2.0) self.driver.add_constraint('x1_store = dis1.x1') self.driver.add_constraint('z_store[0] = dis1.z1') self.driver.add_constraint('z_store[1] = dis1.z2') self.driver.max_iteration = 50 self.driver.tolerance = .001 # Multidisciplinary Analysis self.add('mda', BroydenSolver()) self.mda.add_parameter('dis1.y2', low=-9.e99, high=9.e99,start=0.0) self.mda.add_constraint('dis2.y2 = dis1.y2') self.mda.add_parameter('dis2.y1', low=-9.e99, high=9.e99,start=3.16) self.mda.add_constraint('dis2.y1 = dis1.y1') # Discipline 1 Sensitivity Analysis self.add('sa_dis1', SensitivityDriver()) self.sa_dis1.workflow.add(['dis1']) self.sa_dis1.add_parameter('dis1.x1', low= 0.0, high=10.0, fd_step=.001) self.sa_dis1.add_constraint(constraint1) self.sa_dis1.add_constraint(constraint2) self.sa_dis1.add_objective(objective, name='obj') self.sa_dis1.differentiator = FiniteDifference() self.sa_dis1.default_stepsize = 1.0e-6 # Discipline 2 Sensitivity Analysis # dis2 has no local parameter, so there is no need to treat it as # a subsystem. # System Level Sensitivity Analysis # Note, we cheat here and run an MDA instead of solving the # GSE equations. Have to put this on the TODO list. self.add('ssa', SensitivityDriver()) self.ssa.workflow.add(['mda']) self.ssa.add_parameter(['dis1.z1','dis2.z1'], low=-10.0, high=10.0) self.ssa.add_parameter(['dis1.z2','dis2.z2'], low= 0.0, high=10.0) self.ssa.add_constraint(constraint1) self.ssa.add_constraint(constraint2) self.ssa.add_objective(objective, name='obj') self.ssa.differentiator = FiniteDifference() self.ssa.default_stepsize = 1.0e-6 # Discipline Optimization # (Only discipline1 has an optimization input) self.add('bbopt1', CONMINdriver()) self.bbopt1.add_parameter('x1_store', low=0.0, high=10.0, start=1.0) self.bbopt1.add_objective('sa_dis1.F[0] + sa_dis1.dF[0][0]*(x1_store-dis1.x1)') self.bbopt1.add_constraint('sa_dis1.G[0] + sa_dis1.dG[0][0]*(x1_store-dis1.x1) < 0') #this one is technically unncessary self.bbopt1.add_constraint('sa_dis1.G[1] + sa_dis1.dG[1][0]*(x1_store-dis1.x1) < 0') self.bbopt1.add_constraint('(x1_store-dis1.x1)<.5') self.bbopt1.add_constraint('(x1_store-dis1.x1)>-.5') self.bbopt1.iprint = 0 self.bbopt1.linobj = True # Global Optimization self.add('sysopt', CONMINdriver()) self.sysopt.add_parameter('z_store[0]', low=-10.0, high=10.0, start=5.0) self.sysopt.add_parameter('z_store[1]', low=0.0, high=10.0, start=2.0) self.sysopt.add_objective('ssa.F[0]+ ssa.dF[0][0]*(z_store[0]-dis1.z1) + ssa.dF[0][1]*(z_store[1]-dis1.z2)') self.sysopt.add_constraint('ssa.G[0] + ssa.dG[0][0]*(z_store[0]-dis1.z1) + ssa.dG[0][1]*(z_store[1]-dis1.z2) < 0') self.sysopt.add_constraint('ssa.G[1] + ssa.dG[1][0]*(z_store[0]-dis1.z1) + ssa.dG[1][1]*(z_store[1]-dis1.z2) < 0') self.sysopt.add_constraint('z_store[0]-dis1.z1<.5') self.sysopt.add_constraint('z_store[0]-dis1.z1>-.5') self.sysopt.add_constraint('z_store[1]-dis1.z2<.5') self.sysopt.add_constraint('z_store[1]-dis1.z2>-.5') self.sysopt.iprint = 0 self.sysopt.linobj = True self.driver.workflow = SequentialWorkflow() self.driver.workflow.add(['ssa', 'sa_dis1', 'bbopt1', 'sysopt']) if __name__ == "__main__": # pragma: no cover import time import math prob = SellarBLISS() prob.name = "top" tt = time.time() prob.run() print "\n" print "Minimum found at (%f, %f, %f)" % (prob.dis1.z1, \ prob.dis1.z2, \ prob.dis1.x1) print "Couping vars: %f, %f" % (prob.dis1.y1, prob.dis2.y2) print "Minimum objective: ", (prob.dis1.x1)**2 + prob.dis1.z2 + prob.dis1.y1 + math.exp(-prob.dis2.y2) print "Elapsed time: ", time.time()-tt, "seconds"

44.15942

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1

a63cff634a2350a5c9d905417fc77ffe0cbb8d60

833

py

Python

migrations/versions/b0c12eb8ae59_initial_migration.py

edumorris/pomodoro

cde372be1d5c37dd8221ebd40b684d07fbb472b5

[ "MIT" ]

1

2022-01-10T14:48:16.000Z

migrations/versions/b0c12eb8ae59_initial_migration.py

edumorris/pomodoro

cde372be1d5c37dd8221ebd40b684d07fbb472b5

[ "MIT" ]

null

migrations/versions/b0c12eb8ae59_initial_migration.py

edumorris/pomodoro

cde372be1d5c37dd8221ebd40b684d07fbb472b5

[ "MIT" ]

null

"""Initial Migration Revision ID: b0c12eb8ae59 Revises: 7cb850d9441c Create Date: 2020-07-15 11:44:46.190193 """ from alembic import op import sqlalchemy as sa # revision identifiers, used by Alembic. revision = 'b0c12eb8ae59' down_revision = '7cb850d9441c' branch_labels = None depends_on = None def upgrade(): # ### commands auto generated by Alembic - please adjust! ### op.add_column('users', sa.Column('password_hash', sa.String(length=255), nullable=True)) op.drop_column('users', 'pass_secure') # ### end Alembic commands ### def downgrade(): # ### commands auto generated by Alembic - please adjust! ### op.add_column('users', sa.Column('pass_secure', sa.VARCHAR(length=255), autoincrement=False, nullable=True)) op.drop_column('users', 'password_hash') # ### end Alembic commands ###

26.870968

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833

5.433962

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0.076705

0.154862

833

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0.741477

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0

0.185111

0

1

0.166667

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a63f4ba25cb878a66fcd7170945ef4034691b3de

7,811

py

Python

datasets/hope_edi/hope_edi.py

WojciechKusa/datasets

1406a04c3e911cec2680d8bc513653e0cafcaaa4

[ "Apache-2.0" ]

10,608

2020-09-10T15:47:50.000Z

2022-03-31T22:51:47.000Z

datasets/hope_edi/hope_edi.py

WojciechKusa/datasets

1406a04c3e911cec2680d8bc513653e0cafcaaa4

[ "Apache-2.0" ]

2,396

2020-09-10T14:55:31.000Z

2022-03-31T19:41:04.000Z

datasets/hope_edi/hope_edi.py

WojciechKusa/datasets

1406a04c3e911cec2680d8bc513653e0cafcaaa4

[ "Apache-2.0" ]

1,530

2020-09-10T21:43:10.000Z

2022-03-31T01:59:12.000Z

# coding=utf-8 # Copyright 2020 The HuggingFace Datasets Authors and the current dataset script contributor. # # 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. """Hope Speech dataset for Equality, Diversity and Inclusion (HopeEDI)""" import csv import datasets _HOMEPAGE = "https://competitions.codalab.org/competitions/27653#learn_the_details" _CITATION = """\ @inproceedings{chakravarthi-2020-hopeedi, title = "{H}ope{EDI}: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion", author = "Chakravarthi, Bharathi Raja", booktitle = "Proceedings of the Third Workshop on Computational Modeling of People's Opinions, Personality, and Emotion's in Social Media", month = dec, year = "2020", address = "Barcelona, Spain (Online)", publisher = "Association for Computational Linguistics", url = "https://www.aclweb.org/anthology/2020.peoples-1.5", pages = "41--53", abstract = "Over the past few years, systems have been developed to control online content and eliminate abusive, offensive or hate speech content. However, people in power sometimes misuse this form of censorship to obstruct the democratic right of freedom of speech. Therefore, it is imperative that research should take a positive reinforcement approach towards online content that is encouraging, positive and supportive contents. Until now, most studies have focused on solving this problem of negativity in the English language, though the problem is much more than just harmful content. Furthermore, it is multilingual as well. Thus, we have constructed a Hope Speech dataset for Equality, Diversity and Inclusion (HopeEDI) containing user-generated comments from the social media platform YouTube with 28,451, 20,198 and 10,705 comments in English, Tamil and Malayalam, respectively, manually labelled as containing hope speech or not. To our knowledge, this is the first research of its kind to annotate hope speech for equality, diversity and inclusion in a multilingual setting. We determined that the inter-annotator agreement of our dataset using Krippendorff{'}s alpha. Further, we created several baselines to benchmark the resulting dataset and the results have been expressed using precision, recall and F1-score. The dataset is publicly available for the research community. We hope that this resource will spur further research on encouraging inclusive and responsive speech that reinforces positiveness.", } """ _DESCRIPTION = """\ A Hope Speech dataset for Equality, Diversity and Inclusion (HopeEDI) containing user-generated comments from the social media platform YouTube with 28,451, 20,198 and 10,705 comments in English, Tamil and Malayalam, respectively, manually labelled as containing hope speech or not. """ _LICENSE = "Creative Commons Attribution 4.0 International Licence" _URLs = { "english": { "TRAIN_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1ydsOTvBZXKqcRvXawOuePrJ99slOEbkk&export=download", "VALIDATION_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1pvpPA97kybx5IyotR9HNuqP4T5ktEtr4&export=download", }, "tamil": { "TRAIN_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1R1jR4DcH2UEaM1ZwDSRHdfTGvkCNu6NW&export=download", "VALIDATION_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1cTaA6OCZUaepl5D-utPw2ZmbonPcw52v&export=download", }, "malayalam": { "TRAIN_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1wxwqnWGRzwvc_-ugRoFX8BPgpO3Q7sch&export=download", "VALIDATION_DOWNLOAD_URL": "https://drive.google.com/u/0/uc?id=1uZ0U9VJQEUPQItPpTJKXH8u_6jXppvJ1&export=download", }, } class HopeEdi(datasets.GeneratorBasedBuilder): """HopeEDI dataset.""" VERSION = datasets.Version("1.0.0") BUILDER_CONFIGS = [ datasets.BuilderConfig( name="english", version=VERSION, description="This part of my dataset covers English dataset" ), datasets.BuilderConfig( name="tamil", version=VERSION, description="This part of my dataset covers Tamil dataset" ), datasets.BuilderConfig( name="malayalam", version=VERSION, description="This part of my dataset covers Tamil dataset" ), ] def _info(self): if self.config.name == "english": # This is the name of the configuration selected in BUILDER_CONFIGS above features = datasets.Features( { "text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=["Hope_speech", "Non_hope_speech", "not-English"]), } ) elif self.config.name == "tamil": features = datasets.Features( { "text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=["Hope_speech", "Non_hope_speech", "not-Tamil"]), } ) # else self.config.name == "malayalam": else: features = datasets.Features( { "text": datasets.Value("string"), "label": datasets.features.ClassLabel(names=["Hope_speech", "Non_hope_speech", "not-malayalam"]), } ) return datasets.DatasetInfo( # This is the description that will appear on the datasets page. description=_DESCRIPTION, # This defines the different columns of the dataset and their types features=features, # Here we define them above because they are different between the two configurations # If there's a common (input, target) tuple from the features, # specify them here. They'll be used if as_supervised=True in # builder.as_dataset. supervised_keys=None, # Homepage of the dataset for documentation homepage=_HOMEPAGE, # License for the dataset if available license=_LICENSE, # Citation for the dataset citation=_CITATION, ) def _split_generators(self, dl_manager): """Returns SplitGenerators.""" my_urls = _URLs[self.config.name] train_path = dl_manager.download_and_extract(my_urls["TRAIN_DOWNLOAD_URL"]) validation_path = dl_manager.download_and_extract(my_urls["VALIDATION_DOWNLOAD_URL"]) return [ datasets.SplitGenerator( name=datasets.Split.TRAIN, gen_kwargs={ "filepath": train_path, "split": "train", }, ), datasets.SplitGenerator( name=datasets.Split.VALIDATION, gen_kwargs={ "filepath": validation_path, "split": "validation", }, ), ] def _generate_examples(self, filepath, split): """Generate HopeEDI examples.""" with open(filepath, encoding="utf-8") as csv_file: csv_reader = csv.reader( csv_file, quotechar='"', delimiter="\t", quoting=csv.QUOTE_NONE, skipinitialspace=False ) for id_, row in enumerate(csv_reader): text, label, dummy = row yield id_, {"text": text, "label": label}

49.125786

1,525

0.673921

921

7,811

5.637351

0.386536

0.025039

0.01849

0.024268

0.297958

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0.255008

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7,811

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null

0

1

0

null

0

1

a641a9f31d2309805597aee4c338bb8ecb70c725

5,310

py

Python

code_legacy/PostfixLogSummary.py

rhymeswithmogul/starttls-everywhere

cdc6cce552d44e17a3178eba987ae5d2b6a22e75

[ "Apache-2.0" ]

339

2015-01-01T06:19:34.000Z

2021-12-10T17:24:52.000Z

code_legacy/PostfixLogSummary.py

rhymeswithmogul/starttls-everywhere

cdc6cce552d44e17a3178eba987ae5d2b6a22e75

[ "Apache-2.0" ]

95

2015-06-07T21:26:16.000Z

2021-09-28T13:11:00.000Z

code_legacy/PostfixLogSummary.py

rhymeswithmogul/starttls-everywhere

cdc6cce552d44e17a3178eba987ae5d2b6a22e75

[ "Apache-2.0" ]

50

2015-03-18T17:41:32.000Z

2021-03-19T07:44:54.000Z

#!/usr/bin/env python import argparse import collections import os import re import sys import time import Config TIME_FORMAT = "%b %d %H:%M:%S" # TODO: There's more to be learned from postfix logs! Here's one sample # observed during failures from the sender vagrant vm: # Jun 6 00:21:31 precise32 postfix/smtpd[3648]: connect from localhost[127.0.0.1] # Jun 6 00:21:34 precise32 postfix/smtpd[3648]: lost connection after STARTTLS from localhost[127.0.0.1] # Jun 6 00:21:34 precise32 postfix/smtpd[3648]: disconnect from localhost[127.0.0.1] # Jun 6 00:21:56 precise32 postfix/master[3001]: reload -- version 2.9.6, configuration /etc/postfix # Jun 6 00:22:01 precise32 postfix/pickup[3674]: AF3B6480475: uid=0 from=<root> # Jun 6 00:22:01 precise32 postfix/cleanup[3680]: AF3B6480475: message-id=<20140606002201.AF3B6480475@sender.example.com> # Jun 6 00:22:01 precise32 postfix/qmgr[3673]: AF3B6480475: from=<root@sender.example.com>, size=576, nrcpt=1 (queue active) # Jun 6 00:22:01 precise32 postfix/smtp[3682]: SSL_connect error to valid-example-recipient.com[192.168.33.7]:25: -1 # Jun 6 00:22:01 precise32 postfix/smtp[3682]: warning: TLS library problem: 3682:error:140740BF:SSL routines:SSL23_CLIENT_HELLO:no protocols available:s23_clnt.c:381: # Jun 6 00:22:01 precise32 postfix/smtp[3682]: AF3B6480475: to=<vagrant@valid-example-recipient.com>, relay=valid-example-recipient.com[192.168.33.7]:25, delay=0.06, delays=0.03/0.03/0/0, dsn=4.7.5, status=deferred (Cannot start TLS: handshake failure) # # Also: # Oct 10 19:12:13 sender postfix/smtp[1711]: 62D3F481249: to=<vagrant@valid-example-recipient.com>, relay=valid-example-recipient.com[192.168.33.7]:25, delay=0.07, delays=0.03/0.01/0.03/0, dsn=4.7.4, status=deferred (TLS is required, but was not offered by host valid-example-recipient.com[192.168.33.7]) def get_counts(input, config, earliest_timestamp): seen_trusted = False counts = collections.defaultdict(lambda: collections.defaultdict(int)) tls_deferred = collections.defaultdict(int) # Typical line looks like: # Jun 12 06:24:14 sender postfix/smtp[9045]: Untrusted TLS connection established to valid-example-recipient.com[192.168.33.7]:25: TLSv1.1 with cipher AECDH-AES256-SHA (256/256 bits) # indicate a problem that should be alerted on. # ([^[]*) <--- any group of characters that is not "[" # Log lines for when a message is deferred for a TLS-related reason. These deferred_re = re.compile("relay=([^[ ]*).* status=deferred.*TLS") # Log lines for when a TLS connection was successfully established. These can # indicate the difference between Untrusted, Trusted, and Verified certs. connected_re = re.compile("([A-Za-z]+) TLS connection established to ([^[]*)") mx_to_domain_mapping = config.get_mx_to_domain_policy_map() timestamp = 0 for line in sys.stdin: timestamp = time.strptime(line[0:15], TIME_FORMAT) if timestamp < earliest_timestamp: continue deferred = deferred_re.search(line) connected = connected_re.search(line) if connected: validation = connected.group(1) mx_hostname = connected.group(2).lower() if validation == "Trusted" or validation == "Verified": seen_trusted = True address_domains = config.get_address_domains(mx_hostname, mx_to_domain_mapping) if address_domains: domains_str = [ a.domain for a in address_domains ] d = ', '.join(domains_str) counts[d][validation] += 1 counts[d]["all"] += 1 elif deferred: mx_hostname = deferred.group(1).lower() tls_deferred[mx_hostname] += 1 return (counts, tls_deferred, seen_trusted, timestamp) def print_summary(counts): for mx_hostname, validations in counts.items(): for validation, validation_count in validations.items(): if validation == "all": continue print mx_hostname, validation, validation_count / validations["all"], "of", validations["all"] if __name__ == "__main__": arg_parser = argparse.ArgumentParser(description='Detect delivery problems' ' in Postfix log files that may be caused by security policies') arg_parser.add_argument('-c', action="store_true", dest="cron", default=False) arg_parser.add_argument("policy_file", nargs='?', default=os.path.join("examples", "starttls-everywhere.json"), help="STARTTLS Everywhere policy file") args = arg_parser.parse_args() config = Config.Config() config.load_from_json_file(args.policy_file) last_timestamp_processed = 0 timestamp_file = '/tmp/starttls-everywhere-last-timestamp-processed.txt' if os.path.isfile(timestamp_file): last_timestamp_processed = time.strptime(open(timestamp_file).read(), TIME_FORMAT) (counts, tls_deferred, seen_trusted, latest_timestamp) = get_counts(sys.stdin, config, last_timestamp_processed) with open(timestamp_file, "w") as f: f.write(time.strftime(TIME_FORMAT, latest_timestamp)) # If not running in cron, print an overall summary of log lines seen from known hosts. if not args.cron: print_summary(counts) if not seen_trusted: print 'No Trusted connections seen! Probably need to install a CAfile.' if len(tls_deferred) > 0: print "Some mail was deferred due to TLS problems:" for (k, v) in tls_deferred.iteritems(): print "%s: %s" % (k, v)

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0.044421

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5,310

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null

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0

null

0

null

0

1

0

1

a643184953f977a187e7f1cbf609b9b4da054af6

1,834

py

Python

morph_net/framework/op_handler_decorator_test.py

nmoezzi/morph-net

fb25044ac06fc6e3b681911fc3dffe65a2b6a0a4

[ "Apache-2.0" ]

1

2019-04-25T08:23:52.000Z

morph_net/framework/op_handler_decorator_test.py

psyhicborg/morph-net

0fb096d8d3b33eda9ab86c700cb6c07c9dbf10ee

[ "Apache-2.0" ]

null

morph_net/framework/op_handler_decorator_test.py

psyhicborg/morph-net

0fb096d8d3b33eda9ab86c700cb6c07c9dbf10ee

[ "Apache-2.0" ]

1

2019-04-26T14:50:13.000Z

"""Tests for morph_net.framework.op_regularizer_decorator.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function from morph_net.framework import conv2d_source_op_handler from morph_net.framework import generic_regularizers from morph_net.framework import op_handler_decorator from morph_net.framework import op_regularizer_manager as orm import numpy as np import tensorflow as tf class DummyDecorator(generic_regularizers.OpRegularizer): """A dummy decorator that multiply the regularization vector by 0.5. """ def __init__(self, regularizer_object): """Creates an instance. Accept an OpRegularizer that is decorated by this class. Args: regularizer_object: OpRegularizer to decorate. """ self._regularization_vector = regularizer_object.regularization_vector * 0.5 self._alive_vector = regularizer_object.alive_vector @property def regularization_vector(self): return self._regularization_vector @property def alive_vector(self): return self._alive_vector class OpHandlerDecoratorTest(tf.test.TestCase): """Test class for OpHandlerDecorator.""" def testOpHandlerDecorator(self): image = tf.constant(0.0, shape=[1, 17, 19, 3]) kernel = tf.ones([5, 5, 3, 3]) output = tf.nn.conv2d(image, kernel, strides=[1, 1, 1, 1], padding='SAME') decorated_op_handler = op_handler_decorator.OpHandlerDecorator( conv2d_source_op_handler.Conv2DSourceOpHandler(1e-3, 0), DummyDecorator) op_slice = orm.OpSlice(output.op, orm.Slice(0, 3)) regularizer = decorated_op_handler.create_regularizer(op_slice) self.assertAllClose(0.5 * np.ones(3), regularizer.regularization_vector) self.assertAllClose(np.ones(3), regularizer.alive_vector) if __name__ == '__main__': tf.test.main()

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0

null

0

null

0

1

0

1

a6554e28fae19027e74ff048a0c85dcdc8783d73

689

py

Python

setup.py

thomasms/filecompare

393af84939689481da27460cccb52040e6171e01

[ "MIT" ]

null

setup.py

thomasms/filecompare

393af84939689481da27460cccb52040e6171e01

[ "MIT" ]

null

setup.py

thomasms/filecompare

393af84939689481da27460cccb52040e6171e01

[ "MIT" ]

null

from setuptools import setup setup(name='filecompare', version='0.1', description='A package for comparing text and JSON files.', url='https://github.com/thomasms/filecompare', author='Thomas Stainer', author_email='stainer.tom+github@gmail.com', license='MIT', packages=[ 'filecompare', 'filecompare.compare', 'filecompare.tools', 'filecompare.utils' ], install_requires=[], python_requires='>=3', scripts=['filecompare/tools/docompare.py'], setup_requires=['pytest-runner'], test_suite='tests.testsuite', tests_require=['pytest'], zip_safe=False)

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0.249637

689

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0.396226

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0.047619

0

null

0

null

0

1

0

1

a66116aa53fbe883f4e06b84d6c1d21984e8b026

826

py

Python

manage.py

Vanzct/xp

75794c283f8680cac84edf0e184e8d1fdaed2b9c

[ "MIT" ]

null

manage.py

Vanzct/xp

75794c283f8680cac84edf0e184e8d1fdaed2b9c

[ "MIT" ]

null

manage.py

Vanzct/xp

75794c283f8680cac84edf0e184e8d1fdaed2b9c

[ "MIT" ]

null

# coding=utf-8 __author__ = 'Van' import os import sys from flask.ext.script import Manager, Shell # from flask.ext.migrate import Migrate, MigrateCommand sys.path.append(os.path.dirname(os.path.abspath(__file__))) from app import create_app mode = os.getenv('APP_CONFIG_MODE') or 'default' if mode: mode = mode.lower() print 'current config mode %s' % mode app = create_app(mode) manager = Manager(app) # manager.add_command("shell", Shell(make_context=make_shell_context)) # manager.add_command('db', MigrateCommand) @manager.command def test(): """aRun the unit tests.""" import unittest tests = unittest.TestLoader().discover('tests') unittest.TextTestRunner(verbosity=2).run(tests) if __name__ == '__main__': app.debug = True app.run(host='0.0.0.0', port=5001) # manager.run()

23.6

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0.042553

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null

0

null

0

1

0

1

a66eed49a3b39d2e0d734ff021df1302bfabe786

1,598

py

Python

tests/test_times.py

Invarato/sort_in_disk_project

8e725e683999aa6cf9db52711309b6a58099c3e2

[ "MIT" ]

3

2020-11-12T16:59:04.000Z

2021-12-03T18:57:27.000Z

tests/test_times.py

Invarato/sort_in_disk_project

8e725e683999aa6cf9db52711309b6a58099c3e2

[ "MIT" ]

null

tests/test_times.py

Invarato/sort_in_disk_project

8e725e683999aa6cf9db52711309b6a58099c3e2

[ "MIT" ]

1

2021-04-11T11:21:42.000Z

# -*- coding: utf-8 -*- # # @autor: Ramón Invarato Menéndez # @version 1.0 from datetime import datetime """ Several tests """ count = 20000000 if __name__ == "__main__": start = datetime.now() print("[if] start: {}".format(start)) val = True for _ in range(1, count): if val: v = "aaa|bbb".split("|") else: v = "ccc|ddd".split("|") finish = datetime.now() print("[if] finish: {} | diff finish-start: {}".format(finish, finish-start)) # =============================================== start = datetime.now() print("[function] start: {}".format(start)) def mi_func(): "aaa|bbb".split("|") for _ in range(1, count): mi_func() finish = datetime.now() print("[function] finish: {} | diff finish-start: {}".format(finish, finish-start)) # =============================================== start = datetime.now() print("[function arg] start: {}".format(start)) def mi_func(ar): del ar "aaa|bbb".split("|") for _ in range(1, count): mi_func("ccc") finish = datetime.now() print("[function arg] finish: {} | diff finish-start: {}".format(finish, finish-start)) # =============================================== start = datetime.now() print("[function return] start: {}".format(start)) def mi_func(ar): return "aaa|bbb".split("|") for _ in range(1, count): mi_func("ccc") finish = datetime.now() print("[function return] finish: {} | diff finish-start: {}".format(finish, finish-start))

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0

null

0

1

0

null

0

1

a66f5311e18930dba9aee6d5a079e0eb27871fa5

482

py

Python

duffel_api/api/booking/seat_maps.py

duffelhq/duffel-api-python

583703f34e345ac8fa185ca26441f9168d1b0dac

[ "MIT" ]

2

2022-02-26T22:14:48.000Z

2022-03-10T10:04:11.000Z

duffel_api/api/booking/seat_maps.py

duffelhq/duffel-api-python

583703f34e345ac8fa185ca26441f9168d1b0dac

[ "MIT" ]

29

2022-01-04T12:40:54.000Z

2022-03-31T23:26:54.000Z

duffel_api/api/booking/seat_maps.py

duffelhq/duffel-api-python

583703f34e345ac8fa185ca26441f9168d1b0dac

[ "MIT" ]

null

from ...http_client import HttpClient from ...models import SeatMap class SeatMapClient(HttpClient): """Client to interact with Seat Maps""" def __init__(self, **kwargs): self._url = "/air/seat_maps" super().__init__(**kwargs) def get(self, offer_id): """GET /air/seat_maps""" res = self.do_get(self._url, query_params={"offer_id": offer_id}) if res is not None: return [SeatMap.from_json(m) for m in res["data"]]

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0

0.232365

482

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0

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null

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