xszheng2020/the_stack_dedup_python_hits_4 · Datasets at Hugging Face

fac9039944d8a33685485805580c5471e4a19e27

6,389

py

Python

src/DCGMM/layer/Layer.py

anon-scientist/dcgmm

1d2d96d1d9811c387ee11d462ff0a3819a66e137

[ "Apache-2.0", "MIT" ]

null

src/DCGMM/layer/Layer.py

anon-scientist/dcgmm

1d2d96d1d9811c387ee11d462ff0a3819a66e137

[ "Apache-2.0", "MIT" ]

null

src/DCGMM/layer/Layer.py

anon-scientist/dcgmm

1d2d96d1d9811c387ee11d462ff0a3819a66e137

[ "Apache-2.0", "MIT" ]

null

# Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # from abc import abstractmethod from abc import ABC import tensorflow as tf import numpy as np from DCGMM.parsers import Kwarg_Parser class Layer(ABC): def __init__(self, input, **kwargs): self.prev = input if input: self.layer_id = self.prev.layer_id + 1 else : self.layer_id = 0 self.next = None # next layer if self.prev: self.prev.next = self # concatenate previous with this layer self.prefix = f'L{self.layer_id}_' self.parser = Kwarg_Parser(prefix=self.prefix, **kwargs) self.data_type = self.parser.add_argument('--data_type', type=int , default=32, choices=[32, 64], help='used data type (float32, int32 or float64, int64) for all calculations and variables (numpy and TensorFlow)') if self.data_type == 32: # 32 bit data type self.dtype_tf_float, self.dtype_tf_int = tf.float32, tf.int32 self.dtype_np_float, self.dtype_np_int = np.float32, np.int32 else: # 64 bit data type self.dtype_tf_float, self.dtype_tf_int = tf.float64, tf.int64 self.dtype_np_float, self.dtype_np_int = np.float64, np.int64 # set external parameter def set_parameters(self, **kwargs): pass # training and sampling # forward propagation def forward(self, input_tensor, extra_inputs=None): return input_tensor # gives back the per-sample loss! as subjected to tF.reduce_mean before grad computation! def loss(self, input, **kwargs) : return -1 def update_with_grad(self, grads) : pass # output to next layer. Is passed the output of forward() def get_output(self, fwd_res, **kwargs) : return fwd_res # sampling given a control signbal from higher layer def backwards(self, topdown, *args, **kwargs) : return topdown # Testing def post_test_step(self, **kwargs) : pass def pre_test_step(self, **kwargs) : pass def evaluate(self, output, **kwargs): return {} @abstractmethod def get_shape(self) : pass def get_layer_variables(self, **kwargs): return {} def is_trainable(self) : return False def reset_layer(self, **kwargs): pass def compile(self, **kwargs) : pass # sharpening, need only be re-implemented for folding layers def get_target_layer(self): return -1 ; def get_reconstruction_weight(self): return -1. ; def get_sharpening_iterations(self): return 0 ; def get_sharpening_rate(self): return 0.0 ; # allows to distribute variables and configurations via socket def share_variables(self, *args, **kwargs): pass def fetch_variables_conf(self) : pass def __str__(self): ''' string representation of a layer (print all variables) ''' max_ = len(max(vars(self).keys(), key=len)) s = '' s += f'Layer: {self.name}\n' for k, v in sorted(vars(self).items()): if k.startswith('_') : continue s += f' {k:<{max_}}:{v}\n' return s def set_prev_next(self, prev): ''' set previous layer and next layer (of previous layer) by hand ''' self.prev = prev self.prev.next = self def _add_layer_prefix(self, kwargs): ''' add the layer prefix if a parameter named "name" exists ''' if 'name' in kwargs: kwargs['name'] = self.prefix + kwargs['name'] def _add_dtype(self, kwargs): ''' add previously defined dtype_tf_float to all TF variables (if not otherwise stated)''' if 'dtype' not in kwargs: kwargs['dtype'] = self.dtype_tf_float def constant(self, *args, **kwargs): ''' create a layer specific named tensorflow constant ''' self._add_layer_prefix(kwargs) self._add_dtype(kwargs) return tf.constant(*args, **kwargs) def variable(self, *args, **kwargs): ''' create a layer specific named tensorflow variable ''' self._add_layer_prefix(kwargs) self._add_dtype(kwargs) return tf.Variable(*args, **kwargs) def constant_initializer(self, *args, **kwargs): ''' create a layer specific named tensorflow variable ''' self._add_layer_prefix(kwargs) #self._add_dtype(kwargs) # TF2 has no dtype for constant_initializers? return tf.constant_initializer(*args, **kwargs) def is_layer_type(self, class_name): ''' test if the given class_name "is in" the layer class name @param class_name: name to test if is in class name string ''' return class_name in self.__class__.__name__ def get_name(self): ''' return the layer name ''' return self.name def pre_train_step(self): pass ; def post_train_step(self): pass ; def do_all(self, input_tensor, mask, ys = None): self.pre_train_step() self.fwd,self.out,self.raw_loss, self.std_loss = self.do_all_graph(input_tensor, mask, ys=ys) self.post_train_step() return self.fwd, self.out, self.raw_loss, self.std_loss ; @tf.function(autograph=False) def do_all_graph(self, input_tensor, mask, ys=None): with tf.GradientTape() as g: forward_res = self.forward(tf.stop_gradient(input_tensor)) output_res = self.get_output(forward_res) raw_loss = self.loss(forward_res, ys=ys) * mask # correct for the mask. If it is a dummy (all ones) then no correction is applied # if it has zeroes, then we average only over the samples having mask=1 loss = tf.reduce_mean(raw_loss) * self.batch_size / tf.reduce_sum(mask) if self.is_trainable(): vars = self.get_layer_variables() grad = g.gradient(loss, vars) self.update_with_grad(grad) return forward_res, output_res, raw_loss, loss

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fada8aa68e6f2be79f13d1f3467eac73bc262ccc

155

py

Python

financialdata/__init__.py

stabacco/financial-data

6965541a18485c17fabbf623f3761ff818ad66ed

[ "Apache-2.0" ]

null

financialdata/__init__.py

stabacco/financial-data

6965541a18485c17fabbf623f3761ff818ad66ed

[ "Apache-2.0" ]

null

financialdata/__init__.py

stabacco/financial-data

6965541a18485c17fabbf623f3761ff818ad66ed

[ "Apache-2.0" ]

null

# flake8: noqa from pathlib import Path from single_version import get_version __version__ = get_version("financial-data", Path(__file__).parent.parent)

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fadff9e099f27bf43ce3aba3df233ec0e6bc808e

136

py

Python

lcm/setup.py

liwangGT/crazyflie-tools

ed3ca66d4efd77c7abb321e6f8deeb564da45862

[ "MIT" ]

73

2015-03-11T05:32:13.000Z

2022-03-25T23:30:17.000Z

lcm/setup.py

liwangGT/crazyflie-tools

ed3ca66d4efd77c7abb321e6f8deeb564da45862

[ "MIT" ]

18

2015-01-19T20:23:36.000Z

2017-02-14T21:03:07.000Z

lcm/setup.py

blandry/drake-crazyflie-tools

ed3ca66d4efd77c7abb321e6f8deeb564da45862

[ "MIT" ]

49

2015-06-19T03:16:10.000Z

2021-01-13T08:56:02.000Z

#!/usr/bin/env python from distutils.core import setup setup(name='crazyflie_t', version='1.0', packages=['crazyflie_t'])

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4

87907d2d60536961c53c99675ce603f712b7006a

191

py

Python

ctxmutants/modelling/__init__.py

cedricrupb/ctxmutants

88f5bdc0e320c2e9c74012e8c6fc56f63b6d548d

[ "MIT" ]

null

ctxmutants/modelling/__init__.py

cedricrupb/ctxmutants

88f5bdc0e320c2e9c74012e8c6fc56f63b6d548d

[ "MIT" ]

null

ctxmutants/modelling/__init__.py

cedricrupb/ctxmutants

88f5bdc0e320c2e9c74012e8c6fc56f63b6d548d

[ "MIT" ]

null

from .config import TransformerConfig from .transformer import TransformerEncoder from .meta_models import (VarMisuseModel, LocateRepairModel, MaskedRepairModel)

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e2101c2c087f00b67a716bde2e0127bb05732cf4

82

py

Python

NHentai-back/main.py

AlexandreSenpai/NHentai-app

b51a443cdc2d56031b0b844284133f6c0206051c

[ "MIT" ]

5

2020-07-12T08:51:16.000Z

2020-08-18T17:42:01.000Z

NHentai-back/main.py

AlexandreSenpai/NHentai-app

b51a443cdc2d56031b0b844284133f6c0206051c

[ "MIT" ]

3

2020-08-01T19:44:59.000Z

2022-02-19T04:56:46.000Z

NHentai-back/main.py

AlexandreSenpai/NHentai-app

b51a443cdc2d56031b0b844284133f6c0206051c

[ "MIT" ]

null

from Routes.routes import app if __name__ == '__main__': app.run(port='8080')

20.5

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4

355a1fa49da0c9f2ab4237a7e12fd52d559e2dee

132

py

Python

scripts/desligar.py

HLFer/EasyHome

2a40a0dc3c192e544dbb2ac6600829ef63f53d07

[ "MIT" ]

null

scripts/desligar.py

HLFer/EasyHome

2a40a0dc3c192e544dbb2ac6600829ef63f53d07

[ "MIT" ]

null

scripts/desligar.py

HLFer/EasyHome

2a40a0dc3c192e544dbb2ac6600829ef63f53d07

[ "MIT" ]

null

import RPi.GPIO as GPIO import sys GPIO.setmode(GPIO.BCM) GPIO.setup(18,GPIO.OUT) GPIO.output(18,GPIO.HIGH) GPIO.setwarnings(False)

18.857143

25

0.787879

24

132

4.333333

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132

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null

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null

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4

356979f0248fdc273ed4ca71499e110ea6f83c10

152

py

Python

3.7.0/lldb-3.7.0.src/test/lang/objcxx/objcxx-ivar-vector/TestIvarVector.py

androm3da/clang_sles

2ba6d0711546ad681883c42dfb8661b842806695

[ "MIT" ]

3

2016-02-10T14:18:40.000Z

2018-02-05T03:15:56.000Z

3.7.0/lldb-3.7.0.src/test/lang/objcxx/objcxx-ivar-vector/TestIvarVector.py

androm3da/clang_sles

2ba6d0711546ad681883c42dfb8661b842806695

[ "MIT" ]

1

2016-02-10T15:40:03.000Z

3.7.0/lldb-3.7.0.src/test/python_api/sbtype_typeclass/TestSBTypeTypeClass.py

androm3da/clang_sles

2ba6d0711546ad681883c42dfb8661b842806695

[ "MIT" ]

null

import lldbinline import lldbtest lldbinline.MakeInlineTest(__file__, globals(), [lldbtest.skipIfFreeBSD,lldbtest.skipIfLinux,lldbtest.skipIfWindows])

30.4

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null

0

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1

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4

3572ce1a41b46d07da02082bf2ade804389ead2d

2,702

py

Python

experiments/dist_stat.py

Chen-Cai-OSU/GeometryofEmbedding

ee2faa274a28560f9d3df593dc5e8d07fb4a71a0

[ "Apache-2.0" ]

2

2019-06-24T23:21:28.000Z

2020-10-28T02:57:59.000Z

experiments/dist_stat.py

Chen-Cai-OSU/GeometryofEmbedding

ee2faa274a28560f9d3df593dc5e8d07fb4a71a0

[ "Apache-2.0" ]

null

experiments/dist_stat.py

Chen-Cai-OSU/GeometryofEmbedding

ee2faa274a28560f9d3df593dc5e8d07fb4a71a0

[ "Apache-2.0" ]

null

import sys from ampligraph.common.aux import rel_rank_stat, precision_format, load_data, eigengap, vmatrix, field_d import numpy as np period=1001 lists = [] # lists.append([1,2,3,4,5]) # lists.append([10,20,30,40,50]) # lists.append([50,100,150,200,250]) lists.append([100,200,300,400,500,600]) # lists.append([1,2,3,4,5,6]) # lists.append([1,2,4,8,16,32]) # lists.append([1,3,9,27,81,243]) # lists.append([5,7,11,13,17,19]) # lists.append([11,13,17,41,53,59]) # lists.append([1,3,5,7,9,11]) # lists.append([2,4,6,8,10,12]) # lists.append([2,4,8,16,32,64]) for list in lists: print(list) print(vmatrix(field_d(list, period))) sys.exit() # vary number of rels rels = [13, 28, 33, 40, 48, 58, 62, 73, 81, 92, 101, 111, 123, 131, 141] # rels = list(range(10, 150, 10)) rels = list(range(1, 15, 1)) # rels = list(range(10, 150, 10)) for n in range(4,10,1): step = 1 rel_lis = rels[:n] distm = field_d(rel_lis,1000) print(rel_lis, np.sum(1.0 , (1 + distm), len(rels))) sys.exit() # fix number of rels period = 1000 for i in [1, 10, 100]: rels = list(range(i, i*7, i)) vmatrix(field_d(rels, period)) distm = field_d(rels, period) print(rels, np.sum(1.0 , (1 + distm))) sys.exit() print(vmatrix(field_d([1,2,3,4,5,6], period))) print(vmatrix(field_d([1, 2, 4, 8, 16, 32], period))) print(vmatrix(field_d([5, 7, 11, 13, 17, 19], period))) print(vmatrix(field_d([11, 13, 17, 41, 53, 59], period))) print(vmatrix(field_d([1, 3, 5, 7, 9], period))) print(vmatrix(field_d([2,4,6,8,10], period))) print(vmatrix(field_d([10,20,30,40,50,60], period))) print(vmatrix(field_d([100,200,300,400,500,600], period))) sys.exit() print(vmatrix(field_d([0, 64, 128, 192, 256, 320, 384, 448, 512, 576, 640, 704, 768, 832, 896, 960], 1024))) print(vmatrix(field_d([0, 121, 242, 363, 484, 605, 726, 847, 968], 1089))) for i in range(5,20): lis = list(range(1,i)) vmatrix(field_d(lis, 1000)) print(vmatrix(field_d([100,200,300,400,500,600], 997))) print(vmatrix(field_d([10,20,30,40,50,60], 997))) print(vmatrix(field_d([100,200,300,400,500], 550))) print(vmatrix(field_d([100,200,300,400,500, 50,150,250,350,450], 550))) print(vmatrix(field_d([50,150,250,350,450], 1000))) import networkx as nx lines = ["1 2 {'weight':3}", "2 3 {'weight':27}", "3 4 {'weight':3.0}"] import numpy as np for i in [10,20,30,40,50,60,70,80,90]: rel_choices = [10, 20, 30, 40, 50, 60, 70, 80, 90] rel_choices.remove(i) print(vmatrix(field_d(rel_choices, 1000))) print('\n') print(vmatrix(field_d([10, 20,30,40,50,60,70,80,90], 1000))) print(vmatrix(field_d([1,2,3,4,5,6,7,8,9], 1000))) vmatrix(field_d([4,8,12,16,20,24,28,32,36], 1000))

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35ad541e726cdb729ca41a383df54058000b1067

8,579

py

Python

acnportal/contrib/acnsim/network/tests/test_stochastic_network.py

zach401/acnportal

3c76892d78ae7cbdca9017f8e2a4e3114198deba

[ "BSD-3-Clause" ]

32

2019-05-01T03:55:12.000Z

2022-03-27T06:37:04.000Z

acnportal/contrib/acnsim/network/tests/test_stochastic_network.py

zach401/acnportal

3c76892d78ae7cbdca9017f8e2a4e3114198deba

[ "BSD-3-Clause" ]

66

2019-08-16T22:13:21.000Z

2022-03-10T13:50:29.000Z

acnportal/contrib/acnsim/network/tests/test_stochastic_network.py

zach401/acnportal

3c76892d78ae7cbdca9017f8e2a4e3114198deba

[ "BSD-3-Clause" ]

21

2019-06-04T04:29:56.000Z

2022-03-27T06:36:46.000Z

# coding=utf-8 """ Tests for StochasticChargingNetwork functionality. """ from unittest import TestCase from unittest.mock import Mock, patch from acnportal.contrib.acnsim.network import StochasticNetwork from acnportal.acnsim.models import EV, EVSE, Battery RANDOM_CHOICE_PATCH_STR = "acnportal.contrib.acnsim.stochastic_network.random.choice" class TestStochasticChargingNetwork(TestCase): def setUp(self) -> None: """ Set up tests for ChargingNetwork. """ self.network = StochasticNetwork() self.evse_ids = ["PS-001", "PS-002", "PS-003"] for evse_id in self.evse_ids: self.network.register_evse(EVSE(evse_id), 240, 0) def test_available_evses(self) -> None: result = self.network.available_evses() self.assertListEqual(result, self.evse_ids) @patch(RANDOM_CHOICE_PATCH_STR) def test_plugin_ev_with_spot_available(self, choice_mock) -> None: ev = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) choice_mock.return_value = "PS-002" self.network.plugin(ev) self.assertEqual(ev.station_id, "PS-002") self.assertIs(self.network.get_ev("PS-002"), ev) def test_plugin_ev_no_spot_available_empty_waiting_queue(self) -> None: ev = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) # Mock available_evses to behavior like the network is full. self.network.available_evses = Mock(return_value=[]) self.network.plugin(ev) # EV should be added to waiting_queue self.assertEqual(len(self.network.waiting_queue), 1) self.assertIn(ev.session_id, self.network.waiting_queue) self.assertIs(self.network.waiting_queue[ev.session_id], ev) def test_plugin_ev_no_spot_available_evs_in_waiting_queue(self) -> None: ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) ev2 = EV(0, 10, 10, "", "Session-02", Battery(100, 0, 6.6)) # Mock available_evses to behavior like the network is full. self.network.available_evses = Mock(return_value=[]) # Add ev1 to the waiting queue self.network.waiting_queue[ev1.session_id] = ev1 self.network.waiting_queue.move_to_end(ev1.session_id) self.network.plugin(ev2) # EV should be added to waiting_queue self.assertEqual(len(self.network.waiting_queue), 2) # ev1 should be after ev2 in the queue _, first_in_queue = self.network.waiting_queue.popitem(last=False) _, second_in_queue = self.network.waiting_queue.popitem(last=False) self.assertIs(first_in_queue, ev1) self.assertIs(second_in_queue, ev2) @patch(RANDOM_CHOICE_PATCH_STR) def test_unplug_station_exists_session_id_matches_queue_empty( self, choice_mock ) -> None: ev = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) choice_mock.return_value = "PS-002" self.network.plugin(ev) self.network._EVSEs["PS-002"].unplug = Mock() self.network.unplug(ev.station_id, ev.session_id) self.network._EVSEs["PS-002"].unplug.assert_called() @patch(RANDOM_CHOICE_PATCH_STR) def test_unplug_station_exists_session_id_matches_ev_in_queue( self, choice_mock ) -> None: ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) ev2 = EV(0, 10, 10, "", "Session-02", Battery(100, 0, 6.6)) # Plug ev1 into space PS-001 choice_mock.return_value = "PS-002" self.network.plugin(ev1) # Add ev2 to the waiting queue self.network.waiting_queue[ev2.session_id] = ev2 self.network.waiting_queue.move_to_end(ev2.session_id) # Mock the plugin method so we can assert it was called. self.network._EVSEs["PS-002"].plugin = Mock() # Unplug ev1 self.network.unplug(ev1.station_id, ev1.session_id) # ev2 should be plugged in after ev1 leaves self.network._EVSEs["PS-002"].plugin.assert_called_with(ev2) # swaps counter should be incremented self.assertEqual(self.network.swaps, 1) def test_unplug_when_ev_in_waiting_queue(self): ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) # Add ev2 to the waiting queue self.network.waiting_queue[ev1.session_id] = ev1 self.network.waiting_queue.move_to_end(ev1.session_id) self.assertEqual(len(self.network.waiting_queue), 1) self.network.unplug(ev1.station_id, ev1.session_id) # ev1 should be removed from the waiting queue self.assertEqual(len(self.network.waiting_queue), 0) # never_charged counter should be incremented self.assertEqual(self.network.never_charged, 1) @patch(RANDOM_CHOICE_PATCH_STR) def test_unplug_station_exists_session_id_mismatch(self, choice_mock) -> None: ev = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) choice_mock.return_value = "PS-002" self.network.plugin(ev) self.network._EVSEs["PS-002"].unplug = Mock() self.network.unplug(ev.station_id, "Incorrect ID") # noinspection PyUnresolvedReferences self.network._EVSEs["PS-002"].unplug.assert_not_called() def test_unplug_station_does_not_exist(self) -> None: with self.assertRaises(KeyError): self.network.unplug("PS-005", "Session-01") @patch(RANDOM_CHOICE_PATCH_STR) def test_post_charging_update_early_departure_ev_in_queue(self, choice_mock): self.network.early_departure = True ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) ev2 = EV(0, 10, 10, "", "Session-02", Battery(100, 0, 6.6)) # Plug ev1 into space PS-001 choice_mock.return_value = "PS-002" self.network.plugin(ev1) # Fully charge ev1 ev1._energy_delivered = 10 # Add ev2 to the waiting queue self.network.waiting_queue[ev2.session_id] = ev2 self.network.waiting_queue.move_to_end(ev2.session_id) # Test that unplug is called during post_charging_update. self.network.unplug = Mock() self.network.post_charging_update() self.network.unplug.assert_called_with(ev1.station_id, ev1.session_id) self.assertEqual(self.network.early_unplug, 1) @patch(RANDOM_CHOICE_PATCH_STR) def test_post_charging_update_early_departure_off_ev_in_queue(self, choice_mock): self.network.early_departure = False ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) ev2 = EV(0, 10, 10, "", "Session-02", Battery(100, 0, 6.6)) # Plug ev1 into space PS-001 choice_mock.return_value = "PS-002" self.network.plugin(ev1) # Fully charge ev1 ev1._energy_delivered = 10 # Add ev2 to the waiting queue self.network.waiting_queue[ev2.session_id] = ev2 self.network.waiting_queue.move_to_end(ev2.session_id) # Test that unplug is called during post_charging_update. self.network.unplug = Mock() self.network.post_charging_update() self.network.unplug.assert_not_called() @patch(RANDOM_CHOICE_PATCH_STR) def test_post_charging_update_early_departure_ev_not_full(self, choice_mock): self.network.early_departure = True ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) ev2 = EV(0, 10, 10, "", "Session-02", Battery(100, 0, 6.6)) # Plug ev1 into space PS-001 choice_mock.return_value = "PS-002" self.network.plugin(ev1) # ev1 not fully charged ev1._energy_delivered = 5 # Add ev2 to the waiting queue self.network.waiting_queue[ev2.session_id] = ev2 self.network.waiting_queue.move_to_end(ev2.session_id) # Test that unplug is called during post_charging_update. self.network.unplug = Mock() self.network.post_charging_update() self.network.unplug.assert_not_called() @patch(RANDOM_CHOICE_PATCH_STR) def test_post_charging_update_early_departure_no_ev_in_queue(self, choice_mock): self.network.early_departure = True ev1 = EV(0, 10, 10, "", "Session-01", Battery(100, 0, 6.6)) # Plug ev1 into space PS-001 choice_mock.return_value = "PS-002" self.network.plugin(ev1) # Fully charge ev1 ev1._energy_delivered = 10 # Test that unplug is called during post_charging_update. self.network.unplug = Mock() self.network.post_charging_update() self.network.unplug.assert_not_called()

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ea246409b04e7a9e859aa0c735d0518003c6a4ea

346

bzl

Python

scala/bloop/bloop.bzl

psilospore/rules_scala-rebloopy

69327c55e8095882e59e5c0fe948cb31693b4e6f

[ "Apache-2.0" ]

null

scala/bloop/bloop.bzl

psilospore/rules_scala-rebloopy

69327c55e8095882e59e5c0fe948cb31693b4e6f

[ "Apache-2.0" ]

null

scala/bloop/bloop.bzl

psilospore/rules_scala-rebloopy

69327c55e8095882e59e5c0fe948cb31693b4e6f

[ "Apache-2.0" ]

null

load( "//scala:scala_cross_version.bzl", _default_scala_version = "default_scala_version", _extract_major_version = "extract_major_version", _scala_mvn_artifact = "scala_mvn_artifact", ) load( "@io_bazel_rules_scala//scala:scala_maven_import_external.bzl", _scala_maven_import_external = "scala_maven_import_external", )

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null

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0

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ea3a29557271c4644a80baa5f1ba05bd0f98b725

349

py

Python

Desafios/Desafio018.py

julianascimentosantos/cursoemvideo-python3

34361c9c9cfa3d511257e51608168c1325deaa9e

[ "MIT" ]

null

Desafios/Desafio018.py

julianascimentosantos/cursoemvideo-python3

34361c9c9cfa3d511257e51608168c1325deaa9e

[ "MIT" ]

null

Desafios/Desafio018.py

julianascimentosantos/cursoemvideo-python3

34361c9c9cfa3d511257e51608168c1325deaa9e

[ "MIT" ]

null

import math grau = float(input('Digite o ângulo que você deseja: ')) seno = math.sin(math.radians(grau)) print('O ângulo de {} tem o SENO de {:.2f}'.format(grau, seno)) print('O ângulo de {} tem o COSENO de {:.2f}'.format(grau, math.cos(math.radians(grau)))) print('O ângulo de {} tem a TANGENTE de {:.2f}'.format(grau,math.tan(math.radians(grau))))

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null

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4

ea3f0b54c4edc694c529f26dbed2fd676cf09cd6

410

py

Python

menpo/transform/__init__.py

yuxiang-zhou/menpo

01deaf3808cbe7a3d9db5542ac9d9f53cd81743a

[ "BSD-3-Clause" ]

null

menpo/transform/__init__.py

yuxiang-zhou/menpo

01deaf3808cbe7a3d9db5542ac9d9f53cd81743a

[ "BSD-3-Clause" ]

null

menpo/transform/__init__.py

yuxiang-zhou/menpo

01deaf3808cbe7a3d9db5542ac9d9f53cd81743a

[ "BSD-3-Clause" ]

null

from .base import Transform, TransformChain from .homogeneous import * from .thinplatesplines import ThinPlateSplines from .piecewiseaffine import PiecewiseAffine from .rbf import R2LogR2RBF, R2LogRRBF from .groupalign.procrustes import GeneralizedProcrustesAnalysis from .compositions import (scale_about_centre, rotate_ccw_about_centre, shear_about_centre, transform_about_centre)

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1

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1

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4

ea71404316908a06a7bd4da04fec53859c1bb387

219

py

Python

pokermon/training/train_test.py

ghl3/Pokermon

ef4434884ee294fe845c906ab0d2f871af44f406

[ "MIT" ]

null

pokermon/training/train_test.py

ghl3/Pokermon

ef4434884ee294fe845c906ab0d2f871af44f406

[ "MIT" ]

null

pokermon/training/train_test.py

ghl3/Pokermon

ef4434884ee294fe845c906ab0d2f871af44f406

[ "MIT" ]

1

2020-11-05T11:57:25.000Z

from pokermon.model import heads_up from pokermon.training import train def test_heads_up(): models = {"foo": heads_up.HeadsUpModel("Foo"), "bar": heads_up.HeadsUpModel("Bar")} train.train_heads_up(models, 2)

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1

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4

5767cba3aca8fc1e4b2721130ddae593c25ef663

1,325

py

Python

tests/torch/test_dataset.py

rlan/pyml

7d2d411fed6f716db5ad3d904a08951941467dfd

[ "MIT" ]

null

tests/torch/test_dataset.py

rlan/pyml

7d2d411fed6f716db5ad3d904a08951941467dfd

[ "MIT" ]

9

2018-06-29T00:50:34.000Z

2018-12-27T00:39:19.000Z

tests/torch/test_dataset.py

rlan/pyml

7d2d411fed6f716db5ad3d904a08951941467dfd

[ "MIT" ]

null

import pyml.torch.dataset as ds def test_load_mnist(): train_loader, test_loader = ds.load_mnist(batch_size=100, test_batch_size=1000) def test_load_mnist_with_validation(): train_loader, val_loader, test_loader = ds.load_mnist_with_validation(batch_size=100, test_batch_size=1000, validation_size=50000) def test_load_cifar10(): train_loader, test_loader = ds.load_cifar10(batch_size=100, test_batch_size=1000) train_loader, test_loader = ds.load_cifar10(batch_size=100, test_batch_size=1000, use_data_augmentation=True) def test_load_cifar10_with_validation(): train_loader, val_loader, test_loader = ds.load_cifar10_with_validation(batch_size=100, test_batch_size=1000, validation_size=5000) train_loader, val_loader, test_loader = ds.load_cifar10_with_validation(batch_size=100, test_batch_size=1000, validation_size=5000, use_data_augmentation=True) def test_load_cifar10_with_preselected_validation(): ds.generate_train_val_indices(50000, 5000, 'cifar10.json') ds.load_cifar10_with_preselected_validation(batch_size=100, test_batch_size=1000, index_json_file='cifar10.json', use_data_augmentation=True) if __name__ == "__main__": test_load_mnist() test_load_mnist_with_validation() test_load_cifar10() test_load_cifar10_with_validation() test_load_cifar10_with_preselected_validation()

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578e18619afb84fbc335cfff03f03e988938a049

222

py

Python

gs/group/messages/post/list/__init__.py

groupserver/gs.group.messages.post.list

f5c72d41db1421b04728ddacaa564be162d898d2

[ "ZPL-2.1" ]

null

gs/group/messages/post/list/__init__.py

groupserver/gs.group.messages.post.list

f5c72d41db1421b04728ddacaa564be162d898d2

[ "ZPL-2.1" ]

null

gs/group/messages/post/list/__init__.py

groupserver/gs.group.messages.post.list

f5c72d41db1421b04728ddacaa564be162d898d2

[ "ZPL-2.1" ]

null

# -*- coding: utf-8 -*- from __future__ import absolute_import from zope.i18nmessageid import MessageFactory GSMessageFactory = MessageFactory('gs.group.messages.post.list') from .queries import PostSearchQuery # lint:ok

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4

57bfd713e097ef27d20f6fedc21b575f5f9bfa4a

309

py

Python

tests/test_constants.py

vinzeebreak/data_fetcher

51466832b1274d640f71f7ae501d8d40b1c13c79

[ "MIT" ]

23

2019-03-12T22:14:32.000Z

2022-03-18T09:16:29.000Z

tests/test_constants.py

vinzeebreak/data_fetcher

51466832b1274d640f71f7ae501d8d40b1c13c79

[ "MIT" ]

50

2018-10-12T13:47:48.000Z

2019-03-08T18:20:50.000Z

tests/test_constants.py

vinzeebreak/data_fetcher

51466832b1274d640f71f7ae501d8d40b1c13c79

[ "MIT" ]

3

2019-04-24T14:43:24.000Z

2019-05-30T12:59:02.000Z

import pytest from os.path import isdir from dafter.fetcher import DATASETS_FOLDER from dafter.fetcher import DATASETS_CONFIG_FOLDER def test_directories(): assert isdir(DATASETS_FOLDER) == True assert isdir(DATASETS_CONFIG_FOLDER) == True if __name__ == "__main__": pytest.main([__file__])

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0

1

0

1

0

1

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4

57c78ad7a643557dd33b3239389b80c2aaf085ea

53

py

Python

test.py

eliacunegatti/NEAT-GPU-RS

3c369f9bb2e436274661d489853074e8c06e64d7

[ "Apache-2.0" ]

null

test.py

eliacunegatti/NEAT-GPU-RS

3c369f9bb2e436274661d489853074e8c06e64d7

[ "Apache-2.0" ]

null

test.py

eliacunegatti/NEAT-GPU-RS

3c369f9bb2e436274661d489853074e8c06e64d7

[ "Apache-2.0" ]

null

import time print "begin" time.sleep(10) print "stop"

13.25

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null

0

1

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1

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4

57f437e43816c636d2c07d9bc0fd9eaa7f672e3b

54

py

Python

tests/components/workday/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

tests/components/workday/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

tests/components/workday/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""Tests the Home Assistant workday binary sensor."""

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57fb2ef80d2861c38dc3a81ecf9001dca2baf6b2

123

py

Python

BasicExerciseAndKnowledge/w3cschool/n33_Separate_the_list_by_comma.py

Jonathan1214/learn-python

19d0299b30e953069f19402bff5c464c4d5580be

[ "MIT" ]

null

BasicExerciseAndKnowledge/w3cschool/n33_Separate_the_list_by_comma.py

Jonathan1214/learn-python

19d0299b30e953069f19402bff5c464c4d5580be

[ "MIT" ]

null

BasicExerciseAndKnowledge/w3cschool/n33_Separate_the_list_by_comma.py

Jonathan1214/learn-python

19d0299b30e953069f19402bff5c464c4d5580be

[ "MIT" ]

null

#coding:utf-8 # 题目：按逗号分隔列表。 # 使用join函数 # str.join(sequence) lt = [1,2,3,4,5] print ','.join([str(item) for item in lt])

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null

0

1

0

1

0

4

57fcdbf8ee5e128e833e7e6902ea78babca60276

68

py

Python

Python_ABC/2-5list/2randomGenerateList.py

Chandler-Song/Python_Awesome

a44b8b79de7b429a00ac5798e7ecdc26c79a09ed

[ "MIT" ]

null

Python_ABC/2-5list/2randomGenerateList.py

Chandler-Song/Python_Awesome

a44b8b79de7b429a00ac5798e7ecdc26c79a09ed

[ "MIT" ]

null

Python_ABC/2-5list/2randomGenerateList.py

Chandler-Song/Python_Awesome

a44b8b79de7b429a00ac5798e7ecdc26c79a09ed

[ "MIT" ]

null

import random rand_num = random.randrange(1, 51) print(rand_num)

9.714286

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null

1

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null

0

1

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4

17ab5c4b2fc01a93d2400c54a1322ca1ad894510

590

py

Python

sarna/init.py

mmagnuski/sarna

0b4b7a5a9d4747724ff739c4e11bbbda1b286e92

[ "MIT" ]

1

2017-04-22T02:52:04.000Z

sarna/init.py

mmagnuski/sarna

0b4b7a5a9d4747724ff739c4e11bbbda1b286e92

[ "MIT" ]

10

2018-12-22T13:20:45.000Z

2021-11-03T17:52:57.000Z

sarna/init.py

mmagnuski/sarna

0b4b7a5a9d4747724ff739c4e11bbbda1b286e92

[ "MIT" ]

2

2018-06-11T18:40:58.000Z

2018-08-02T10:09:56.000Z

# this file is just to easily get most common imports at once # by writing: `from mypy.init import * import os import sys import os.path as op from pathlib import Path from glob import glob import numpy as np import pandas as pd import matplotlib as mpl import matplotlib.pyplot as plt from scipy.io import loadmat, savemat from scipy import stats, signal # from scipy.stats import distributions as dist # from scipy import fftpack # import seaborn as sns? try: from showit import image except ImportError: pass from .utils import find_index, find_range from .freq import dB

19.666667

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4.701031

0.57732

0.078947

0.065789

0

0.188136

590

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62

20.344828

0.951983

0.323729

0

1

0

true

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0

0.882353

0

null

0

null

0

1

0

1

0

4

aa0775039b539bbc50241ab8869ebc6ef07f4989

219

py

Python

commands/__init__.py

filipre/signalbot-example

7f14a8e38799cf28fec5f8a9e2ca0497e4fd51c8

[ "MIT" ]

null

commands/__init__.py

filipre/signalbot-example

7f14a8e38799cf28fec5f8a9e2ca0497e4fd51c8

[ "MIT" ]

null

commands/__init__.py

filipre/signalbot-example

7f14a8e38799cf28fec5f8a9e2ca0497e4fd51c8

[ "MIT" ]

null

from .ping import PingCommand from .friday import FridayCommand from .typing import TypingCommand from .triggered import TriggeredCommand __all__ = ["PingCommand", "FridayCommand", "TypingCommand", "TriggeredCommand"]

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null

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null

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1

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4

aa11526d7834e8984e7310d862e5e779746ff802

60

py

Python

butterfree/testing/__init__.py

fossabot/butterfree

8a7da8c540b51c6560b2825cb926c40a351f202b

[ "Apache-2.0" ]

208

2020-07-17T18:46:10.000Z

2022-03-21T12:44:12.000Z

butterfree/testing/__init__.py

fossabot/butterfree

8a7da8c540b51c6560b2825cb926c40a351f202b

[ "Apache-2.0" ]

124

2020-07-17T19:42:47.000Z

2021-07-21T00:38:05.000Z

butterfree/testing/__init__.py

fossabot/butterfree

8a7da8c540b51c6560b2825cb926c40a351f202b

[ "Apache-2.0" ]

30

2020-07-17T20:24:09.000Z

2022-03-17T00:50:37.000Z

"""Utilities to make testing of Butterfree tools easier."""

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1

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0.883333

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null

true

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0

1

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0

null

0

1

0

4

aa1b4e5de204b1277895b8fd4fe5287141ea4bf6

133

py

Python

pandas_addons/addons/__init__.py

ClementWalter/pandas-addons

3965e19f374aa8f6d38f9a0047e71e8a27bacb1a

[ "MIT" ]

2

2021-01-01T16:00:22.000Z

2021-02-10T08:36:54.000Z

pandas_addons/addons/__init__.py

ClementWalter/pandas-addons

3965e19f374aa8f6d38f9a0047e71e8a27bacb1a

[ "MIT" ]

4

2020-12-21T17:06:39.000Z

2021-01-27T18:09:38.000Z

pandas_addons/addons/__init__.py

ClementWalter/pandas-addons

3965e19f374aa8f6d38f9a0047e71e8a27bacb1a

[ "MIT" ]

null

from .assert_ import assert_ from .concat import concat from .extract import extract from .map import map from .to_csv import to_csv

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133

4.727273

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null

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aa2ba17b860bdda7313a7db868f37061f288dae3

102

py

Python

movienightbot/exc.py

squirrelo/MovieNightBot

53fad77d533f13587d47d64fe7583db55529184a

[ "WTFPL" ]

3

2020-02-22T14:22:21.000Z

2021-02-04T19:44:38.000Z

movienightbot/exc.py

squirrelo/MovieNightBot

53fad77d533f13587d47d64fe7583db55529184a

[ "WTFPL" ]

42

2020-02-10T03:42:29.000Z

2022-02-12T23:43:43.000Z

movienightbot/exc.py

squirrelo/MovieNightBot

53fad77d533f13587d47d64fe7583db55529184a

[ "WTFPL" ]

3

2020-02-14T23:22:24.000Z

2020-06-06T21:00:14.000Z

class MovieNightBotException(Exception): pass class VoteError(MovieNightBotException): pass

14.571429

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true

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0

1

0

null

0

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4

aa3022b42c3460aff1d92603877ef34f64920c88

526

py

Python

Sequence.py

BrokenRobot123/SimpleRaspberryPiPython

3eb8821c1d945a004522876a36518b98d886d71a

[ "MIT" ]

null

Sequence.py

BrokenRobot123/SimpleRaspberryPiPython

3eb8821c1d945a004522876a36518b98d886d71a

[ "MIT" ]

null

Sequence.py

BrokenRobot123/SimpleRaspberryPiPython

3eb8821c1d945a004522876a36518b98d886d71a

[ "MIT" ]

null

import RPi.GPIO as GPIO import time GPIO.setmode(GPIO.BCM) GPIO.setup(17, GPIO.OUT) GPIO.setup(4, GPIO.OUT) GPIO.setup(22, GPIO.OUT) GPIO.setup(27, GPIO.OUT) while True: GPIO.output(17, GPIO.HIGH) time.sleep(1) GPIO.output(4, GPIO.HIGH) time.sleep(1) GPIO.output(22, GPIO.HIGH) time.sleep(1) GPIO.output(27, GPIO.HIGH) time.sleep(1) GPIO.output(17, GPIO.LOW) time.sleep(1) GPIO.output(4, GPIO.LOW) time.sleep(1) GPIO.output(22, GPIO.LOW) time.sleep(1) GPIO.output(27, GPIO.LOW) time.sleep(1)

19.481481

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526

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526

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null

1

0

null

0

1

0

4

a4c29345e10fdfb3ee92fe642d33695b21256094

21

py

Python

bitex/_version.py

shax-xxx/bitex

1b638aabe84042ff0b047946c8a44b18375f458e

[ "MIT" ]

null

bitex/_version.py

shax-xxx/bitex

1b638aabe84042ff0b047946c8a44b18375f458e

[ "MIT" ]

null

bitex/_version.py

shax-xxx/bitex

1b638aabe84042ff0b047946c8a44b18375f458e

[ "MIT" ]

1

2018-04-14T00:42:51.000Z

__version__='1.2.12'

10.5

20

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4

21

2.75

1

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0.2

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21

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0.35

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0

1

0

false

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1

0

null

0

1

0

1

0

null

0

4

a4c7224dba7496049b83fc2d9b38bdb52184bbbd

556

py

Python

flightdeck/jetpack/templatetags/editor_tags.py

majacQ/FlightDeck

4ed2e630024374e1ac9f4a8ced8acd0ed7883d76

[ "MIT" ]

1

2019-12-29T05:58:53.000Z

flightdeck/jetpack/templatetags/editor_tags.py

majacQ/FlightDeck

4ed2e630024374e1ac9f4a8ced8acd0ed7883d76

[ "MIT" ]

null

flightdeck/jetpack/templatetags/editor_tags.py

majacQ/FlightDeck

4ed2e630024374e1ac9f4a8ced8acd0ed7883d76

[ "MIT" ]

2

2016-01-16T13:59:52.000Z

2021-04-25T15:38:26.000Z

from django import template #from django.utils.safestring import mark_safe register = template.Library() @register.filter def content_link_id(item): return "%s_content" % item.slug @register.filter def manifest_link_id(item): return "%s_manifest" % item.slug @register.filter def dependency_link_id(item): return "dependency_%s" % item.slug @register.filter def recently_modified_link_id(item): return "modified_%s" % item.slug @register.filter def render_fullname(item): return mark_safe("%s <em>%s</em>" % (item.listname, item.fullname))

18.533333

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0.157248

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556

29

69

19.172414

0.827236

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false

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1

0

null

0

1

0

1

0

4

a4c922877f336f4c9f36fb4cbb6db3768dce7c7e

26

py

Python

homeassistant/components/snmp/__init__.py

domwillcode/home-assistant

f170c80bea70c939c098b5c88320a1c789858958

[ "Apache-2.0" ]

30,023

2016-04-13T10:17:53.000Z

2020-03-02T12:56:31.000Z

homeassistant/components/snmp/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

31,101

2020-03-02T13:00:16.000Z

2022-03-31T23:57:36.000Z

homeassistant/components/snmp/__init__.py

jagadeeshvenkatesh/core

1bd982668449815fee2105478569f8e4b5670add

[ "Apache-2.0" ]

11,956

2016-04-13T18:42:31.000Z

2020-03-02T09:32:12.000Z

"""The snmp component."""

13

25

0.615385

3

26

5.333333

1

0

0.115385

26

1

26

0.695652

0.730769

0

null

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null

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null

0

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null

true

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0

null

0

1

0

null

0

1

0

4

a4d4b1a6ffe1e0839f5133b620af8b75a58fbc32

25

py

Python

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Spheroidal Wave Functions/obl_rad2 Oblate spheroidal radial function of the second kind and its derivative.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Spheroidal Wave Functions/obl_rad2 Oblate spheroidal radial function of the second kind and its derivative.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

null

example_snippets/multimenus_snippets/Snippets/SciPy/Special functions/Spheroidal Wave Functions/obl_rad2 Oblate spheroidal radial function of the second kind and its derivative.py

kuanpern/jupyterlab-snippets-multimenus

477f51cfdbad7409eab45abe53cf774cd70f380c

[ "BSD-3-Clause" ]

1

2021-02-04T04:51:48.000Z

special.obl_rad2(m,n,c,x)

25

0.76

7

25

2.571429

1

0

0.04

0

25

1

25

0.68

0

1

0

true

0

1

0

null

0

1

0

null

0

1

0

4

a4f4495debf5e06d7ab1c2d1afacae3126b4ba5f

55

py

Python

backend/tests/test_webservice/__init__.py

geometalab/highfog-ch-service

951475376eb11e1f987ac27b3a25f7c5b9a3ac03

[ "MIT" ]

null

backend/tests/test_webservice/__init__.py

geometalab/highfog-ch-service

951475376eb11e1f987ac27b3a25f7c5b9a3ac03

[ "MIT" ]

2

2020-10-09T07:26:59.000Z

2020-10-29T10:19:43.000Z

backend/tests/test_webservice/__init__.py

geometalab/highfog-ch-service

951475376eb11e1f987ac27b3a25f7c5b9a3ac03

[ "MIT" ]

1

2020-10-09T11:04:02.000Z

''' Created: 19.03.2015 @author: Dennis Ligtenberg '''

11

26

0.672727

7

55

5.285714

1

0

0.166667

0.127273

55

4

27

13.75

0.604167

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0

null

0

null

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1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

35024a07f5c5325c4ef70b25f8e8e97ccdc46d7f

89

py

Python

SISTGEDIT/registropersonal/horario/apps.py

Edwineverth/SISGEDIT

7d433d5e045b71ac087e40d95ec7d26f159e6453

[ "Apache-2.0" ]

null

SISTGEDIT/registropersonal/horario/apps.py

Edwineverth/SISGEDIT

7d433d5e045b71ac087e40d95ec7d26f159e6453

[ "Apache-2.0" ]

null

SISTGEDIT/registropersonal/horario/apps.py

Edwineverth/SISGEDIT

7d433d5e045b71ac087e40d95ec7d26f159e6453

[ "Apache-2.0" ]

null

from django.apps import AppConfig class HorarioConfig(AppConfig): name = 'horario'

14.833333

33

0.752809

10

89

6.7

0.9

0

0.168539

89

5

34

17.8

0.905405

0

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0

1

0

false

0

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1

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1

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null

0

1

0

null

0

1

0

1

0

4

350a36df350b15789d03705ce7ac7192923c0c4a

276

py

Python

ansys/dpf/post/modal_analysis.py

pyansys/pydpf-post

1b9242af515b33ce35cdc3448d5c0b8b4aec06ee

[ "MIT" ]

19

2021-10-15T14:15:52.000Z

2022-03-13T12:15:58.000Z

ansys/dpf/post/modal_analysis.py

lynch1972/pydpf-post

8fea9103259786067d3451dc12e7c0ae5a38ea33

[ "MIT" ]

21

2021-10-12T16:28:23.000Z

2022-03-30T14:22:29.000Z

ansys/dpf/post/modal_analysis.py

pyansys/DPF-Post

8fea9103259786067d3451dc12e7c0ae5a38ea33

[ "MIT" ]

2

2022-02-09T13:39:08.000Z

2022-03-14T09:16:41.000Z

"""Module containing the specific Modal Analysis Solution class.""" from ansys.dpf.post.dpf_solution import DpfMecanicComplexSolution class ModalAnalysisSolution(DpfMecanicComplexSolution): """Modal solution class, which will provide all the API for Modal analysis."""

34.5

82

0.804348

31

276

7.129032

0.677419

0.117647

0

0.119565

276

7

83

39.428571

0.909465

0.485507

0

1

0

true

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1

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null

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0

null

0

1

0

1

0

1

0

4

1054b6da82f96d21f9f1ab300b41682988a52122

707

bzl

Python

source/bazel/deps/QR_Code_generator/get.bzl

luxe/CodeLang-compiler

78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a

[ "MIT" ]

1

2019-01-06T08:45:46.000Z

source/bazel/deps/QR_Code_generator/get.bzl

luxe/CodeLang-compiler

78837d90bdd09c4b5aabbf0586a5d8f8f0c1e76a

[ "MIT" ]

264

2015-11-30T08:34:00.000Z

2018-06-26T02:28:41.000Z

source/bazel/deps/QR_Code_generator/get.bzl

UniLang/compiler

c338ee92994600af801033a37dfb2f1a0c9ca897

[ "MIT" ]

null

# Do not edit this file directly. # It was auto-generated by: code/programs/reflexivity/reflexive_refresh load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive") load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_file") def qRCodeGenerator(): http_archive( name = "QR_Code_generator", build_file = "//bazel/deps/QR_Code_generator:build.BUILD", sha256 = "1c281781d834e703ec40750ee0e0924567d8edc469d6f43083600e0195a74044", strip_prefix = "QR-Code-generator-8518684c0f33d004fa93971be2c6a8eca3167d1e", urls = [ "https://github.com/Unilang/QR-Code-generator/archive/8518684c0f33d004fa93971be2c6a8eca3167d1e.tar.gz", ], )

41.588235

115

0.727016

75

707

6.666667

0.573333

0.048

0.12

0.076

0.172

0

0.171953

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707

16

116

44.1875

0.662771

0.142857

0

1

0.083333

0.646766

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0

1

0.083333

true

0

0.083333

0

null

0

1

0

1

null

0

1

0

4

106f3d524e30f6a649e2cb52e1acce06d714095c

97

py

Python

examples/django/django_basic/ChattingBox/apps.py

fossabot/chatterbox

43051c6fa71fedd34aa84704e74504899d8f97c6

[ "MIT" ]

78

2018-02-26T05:56:30.000Z

2021-09-25T17:02:59.000Z

examples/django/django_basic/ChattingBox/apps.py

fossabot/chatterbox

43051c6fa71fedd34aa84704e74504899d8f97c6

[ "MIT" ]

10

2018-02-26T03:13:13.000Z

2018-10-04T01:00:15.000Z

examples/django/django_basic/ChattingBox/apps.py

fossabot/chatterbox

43051c6fa71fedd34aa84704e74504899d8f97c6

[ "MIT" ]

20

2018-02-26T07:06:23.000Z

2021-03-28T04:29:51.000Z

from django.apps import AppConfig class ChattingboxConfig(AppConfig): name = 'ChattingBox'

16.166667

35

0.773196

10

97

7.5

0.9

0

0.154639

97

5

36

19.4

0.914634

0

0.113402

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

107c4106cb812dc3391967ce6801683e1a4d152a

138

py

Python

example/forms.py

strange/django-country-utils

a5c095686ddbf6d859a699ac4e28c2fbb593fcd7

[ "BSD-3-Clause" ]

2

2020-05-25T22:30:56.000Z

2021-07-02T23:40:03.000Z

example/forms.py

strange/django-country-utils

a5c095686ddbf6d859a699ac4e28c2fbb593fcd7

[ "BSD-3-Clause" ]

null

example/forms.py

strange/django-country-utils

a5c095686ddbf6d859a699ac4e28c2fbb593fcd7

[ "BSD-3-Clause" ]

3

2015-01-02T14:08:42.000Z

2021-10-09T16:28:37.000Z

from django import forms from example.models import Profile class ProfileForm(forms.ModelForm): class Meta: model = Profile

17.25

35

0.73913

17

138

6

0.705882

0

0.210145

138

7

36

19.714286

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0

1

0

false

0

0.4

0

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0

null

0

1

0

null

0

1

0

1

0

4

108218385551a4b547fc7dec81c346334bcff542

934

py

Python

src/genie/libs/parser/iosxe/tests/ShowIpCef/cli/equal/golden_output_8_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

204

2018-06-27T00:55:27.000Z

2022-03-06T21:12:18.000Z

src/genie/libs/parser/iosxe/tests/ShowIpCef/cli/equal/golden_output_8_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

468

2018-06-19T00:33:18.000Z

2022-03-31T23:23:35.000Z

src/genie/libs/parser/iosxe/tests/ShowIpCef/cli/equal/golden_output_8_expected.py

balmasea/genieparser

d1e71a96dfb081e0a8591707b9d4872decd5d9d3

[ "Apache-2.0" ]

309

2019-01-16T20:21:07.000Z

2022-03-30T12:56:41.000Z

expected_output = { "vrf": { "default": { "address_family": { "ipv4": { "prefix": { "10.169.196.241/32": { "nexthop": { "10.0.0.10": { "outgoing_interface": { "GigabitEthernet3": { "local_label": 16022, "outgoing_label": ["16022"], "outgoing_label_backup": "16002", "outgoing_label_info": "elc", } } } } } } } } } } }

34.592593

77

0.205567

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934

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0.213115

0.196721

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934

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0.532609

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false

0

null

1

0

1

0

null

0

4

52b11c49e335f007fb3d7b986bcb66414a2dc15b

1,509

py

Python

molecule/vagrant-test/tests/test_default.py

kirikae/ansible-role-install_foreman

c2491d7fbacca41b591d80056d4797927eb5260c

[ "MIT" ]

1

2019-10-21T13:38:04.000Z

molecule/vagrant-test/tests/test_default.py

kirikae/ansible-role-install_foreman

c2491d7fbacca41b591d80056d4797927eb5260c

[ "MIT" ]

null

molecule/vagrant-test/tests/test_default.py

kirikae/ansible-role-install_foreman

c2491d7fbacca41b591d80056d4797927eb5260c

[ "MIT" ]

null

# TODO: Modify below tests with actual ones. import os import pytest import testinfra.utils.ansible_runner testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner( os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all') @pytest.fixture(scope="module") def AnsibleDistribution(Ansible): return Ansible("setup")["ansible_facts"]["ansible_distribution"] @pytest.fixture(scope="module") def AnsibleOSFamily(Ansible): return Ansible("setup")["ansible_facts"]["ansible_os_family"] @pytest.fixture(scope="module") def AnsibleVars(host): ansible_vars = host.ansible.get_variables() print(ansible_vars) return ansible_vars def test_packages(host, AnsibleVars): pkg = host.package("foreman-installer") assert pkg.is_installed # assert pkg.version.startswith(version) # @pytest.mark.parametrize("port", "proto", [ # ("53", "tcp"), # ("53", "udp"), # ("67", "udp"), # ("68", "udp"), # ("69", "udp"), # ("80", "tcp"), # ("443", "tcp"), # ("3000", "tcp"), # ("3306", "tcp"), # ("5432", "tcp"), # ("8140", "tcp"), # ("8443", "tcp"), # ]) # def test_firewall(host, port, proto): # svc = host.service('firewalld') # socket = host.socket("{0}://{1}".format((proto, port))) # # assert svc.is_running # assert svc.is_enabled # assert(socket.is_listening) # def test_foreman(host, File): # f = host.File("/etc/ansible/facts.d/install_foreman.fact") # # assert f.exists # assert f.is_file

22.522388

68

0.63552

179

1,509

5.223464

0.463687

0.041711

0.057754

0.077005

0.180749

0.094118

0

0.029695

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1,509

66

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0.720706

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0

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0

0.176084

0.030223

0

0.015152

0.052632

1

0.210526

false

0

0.157895

0.105263

0.526316

0.052632

0

null

0

null

0

1

0

1

0

1

0

4

52d5844e3f3609a7e7c352a11f402992db3f1446

149,392

py

Python

mawie/gui/resources/images.py

Grisou13/mawie

d6b7a2f09431ab0d34f366062bf3c26d346169f9

[ "MIT" ]

1

2020-03-03T16:39:30.000Z

mawie/gui/resources/images.py

Grisou13/mawie

d6b7a2f09431ab0d34f366062bf3c26d346169f9

[ "MIT" ]

5

2021-03-18T20:17:57.000Z

2022-01-13T00:37:27.000Z

mawie/gui/resources/images.py

Grisou13/mawie

d6b7a2f09431ab0d34f366062bf3c26d346169f9

[ "MIT" ]

2

2016-09-30T06:25:57.000Z

2016-11-25T20:23:46.000Z

# -*- coding: utf-8 -*- # Resource object code # # Created by: The Resource Compiler for PyQt5 (Qt v5.7.0) # # WARNING! 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\x72\xef\xb9\xba\xfa\xff\x01\xb6\x13\xe6\x31\x38\x27\x49\x5f\x00\ \x00\x00\x00\x49\x45\x4e\x44\xae\x42\x60\x82\ " qt_resource_name = b"\ \x00\x06\ \x07\x03\x7d\xc3\ \x00\x69\ \x00\x6d\x00\x61\x00\x67\x00\x65\x00\x73\ \x00\x09\ \x04\x76\x40\x82\ \x00\x6e\ \x00\x6f\x00\x2d\x00\x70\x00\x6f\x00\x73\x00\x74\x00\x65\x00\x72\ " qt_resource_struct = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x12\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ " def qInitResources(): QtCore.qRegisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(0x01, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

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false

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null

0

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0

1

0

1

0

null

1

0

4

5e2129c7310f5821f8170c153c0a32a66cb3a72a

677

py

Python

drf_schemas/migrations/0008_auto_20200516_1540.py

altest-com/drf-schemas

12f749579101d34faa60c920cd99fad074f76b6a

[ "MIT" ]

null

drf_schemas/migrations/0008_auto_20200516_1540.py

altest-com/drf-schemas

12f749579101d34faa60c920cd99fad074f76b6a

[ "MIT" ]

2

2020-04-29T20:15:32.000Z

2020-05-03T13:48:00.000Z

drf_schemas/migrations/0008_auto_20200516_1540.py

altest-com/drf-schemas

12f749579101d34faa60c920cd99fad074f76b6a

[ "MIT" ]

null

# Generated by Django 3.0.2 on 2020-05-16 20:40 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('drf_schemas', '0007_auto_20200515_1654'), ] operations = [ migrations.RemoveField( model_name='booleanfield', name='represent', ), migrations.RemoveField( model_name='choicesfield', name='represent', ), migrations.RemoveField( model_name='datetimefield', name='represent', ), migrations.RemoveField( model_name='numberfield', name='represent', ), ]

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677

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null

1

0

1

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null

0

4

5e249782db9bee61cf4ae7a84acef7cfc8eb2eef

575

py

Python

wechatpy/client/api/merchant/stock.py

myuanz/wechatpy

f131e1808ffd51f61881188fc080c36523063c2b

[ "MIT" ]

2

2020-04-12T17:28:01.000Z

2020-04-12T17:28:08.000Z

wechatpy/client/api/merchant/stock.py

myuanz/wechatpy

f131e1808ffd51f61881188fc080c36523063c2b

[ "MIT" ]

null

wechatpy/client/api/merchant/stock.py

myuanz/wechatpy

f131e1808ffd51f61881188fc080c36523063c2b

[ "MIT" ]

null

# -*- coding: utf-8 -*- from wechatpy.client.api.base import BaseWeChatAPI class MerchantStock(BaseWeChatAPI): API_BASE_URL = "https://api.weixin.qq.com/" def add(self, product_id, quantity, sku_info=""): return self._post( "merchant/stock/add", data={"product_id": product_id, "quantity": quantity, "sku_info": sku_info}, ) def reduce(self, product_id, quantity, sku_info=""): return self._post( "merchant/stock/reduce", data={"product_id": product_id, "quantity": quantity, "sku_info": sku_info}, )

30.263158

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71

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575

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5e2e3f31a2dd2edbef9c9fa7c68ca074a517e02e

4,120

py

Python

coco/admin/forms.py

ipynbsrv/ipynbsrv

6cd99719c2a9b3814ee37d87a38adcbf30172141

[ "BSD-3-Clause" ]

null

coco/admin/forms.py

ipynbsrv/ipynbsrv

6cd99719c2a9b3814ee37d87a38adcbf30172141

[ "BSD-3-Clause" ]

null

coco/admin/forms.py

ipynbsrv/ipynbsrv

6cd99719c2a9b3814ee37d87a38adcbf30172141

[ "BSD-3-Clause" ]

null

from coco.core.models import BackendUser, CollaborationGroup, Share from django import forms from django.contrib.admin.widgets import FilteredSelectMultiple class CollaborationGroupAdminForm(forms.ModelForm): """ :link https://djangosnippets.org/snippets/2452/ """ admins = forms.ModelMultipleChoiceField( queryset=BackendUser.objects.all(), widget=FilteredSelectMultiple('Admins', False), required=False ) users = forms.ModelMultipleChoiceField( queryset=BackendUser.objects.all(), widget=FilteredSelectMultiple('Users', False), required=False ) def __init__(self, *args, **kwargs): """ :inherit. """ instance = kwargs.get('instance', None) if instance is not None: initial = kwargs.get('initial', {}) initial['admins'] = instance.admins.all() initial['users'] = instance.get_users() kwargs['initial'] = initial super(CollaborationGroupAdminForm, self).__init__(*args, **kwargs) def save(self, commit=True): """ :inherit. """ group = super(CollaborationGroupAdminForm, self).save(commit=commit) if commit: # admins for admin in group.admins.all(): if admin not in self.cleaned_data['admins']: group.remove_admin(admin) for admin in self.cleaned_data['admins']: group.add_admin(admin) # users for user in group.get_users(): if user not in self.cleaned_data['users']: group.remove_user(user) for user in self.cleaned_data['users']: group.add_user(user) else: old_save_m2m = self.save_m2m def new_save_m2m(): old_save_m2m() # admins for admin in group.admins.all(): if admin not in self.cleaned_data['admins']: group.remove_admin(admin) for admin in self.cleaned_data['admins']: group.add_admin(admin) # users for user in group.get_users(): if user not in self.cleaned_data['users']: group.remove_user(user) for user in self.cleaned_data['users']: group.add_user(user) self.save_m2m = new_save_m2m return group class Meta: model = CollaborationGroup exclude = [] class ShareAdminForm(forms.ModelForm): """ :link https://djangosnippets.org/snippets/2452/ """ def __init__(self, *args, **kwargs): """ :inherit. """ instance = kwargs.get('instance', None) if instance is not None: initial = kwargs.get('initial', {}) initial['access_groups'] = instance.access_groups.all() kwargs['initial'] = initial super(ShareAdminForm, self).__init__(*args, **kwargs) def save(self, commit=True): """ :inherit. """ share = super(ShareAdminForm, self).save(commit=commit) if commit: for access_group in share.access_groups.all(): if access_group not in self.cleaned_data['access_groups']: share.remove_access_group(access_group) for access_group in self.cleaned_data['access_groups']: share.add_access_group(access_group) else: old_save_m2m = self.save_m2m def new_save_m2m(): old_save_m2m() for access_group in share.access_groups.all(): if access_group not in self.cleaned_data['access_groups']: share.remove_access_group(access_group) for access_group in self.cleaned_data['access_groups']: share.add_access_group(access_group) self.save_m2m = new_save_m2m return share class Meta: model = Share exclude = []

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5e35293d86e59b569e01fe12eb313901bce2a041

194

py

Python

dependencies/panda/Panda3D-1.10.0-x64/python/Lib/serial/writeblockingtest.py

CrankySupertoon01/Toontown-2

60893d104528a8e7eb4aced5d0015f22e203466d

[ "MIT" ]

1

2021-02-13T22:40:50.000Z

dependencies/panda/Panda3D-1.10.0-x64/python/Lib/serial/writeblockingtest.py

CrankySupertoonArchive/Toontown-2

60893d104528a8e7eb4aced5d0015f22e203466d

[ "MIT" ]

1

2018-07-28T20:07:04.000Z

2018-07-30T18:28:34.000Z

dependencies/panda/Panda3D-1.10.0-x64/python/Lib/serial/writeblockingtest.py

CrankySupertoonArchive/Toontown-2

60893d104528a8e7eb4aced5d0015f22e203466d

[ "MIT" ]

2

2019-12-02T01:39:10.000Z

2021-02-13T22:41:00.000Z

import serial import time def test(): ser = serial.Serial(0, 300) print time.time() ser.write('*' * 120) print time.time() ser.close() if __name__ == '__main__': test()

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5e3d0d5d4ce80a5e6c6b2ac5072cf7fa007b5ba2

259

py

Python

backpack/core/derivatives/conv_transpose1d.py

jabader97/backpack

089daafa0d611e13901fd7ecf8a0d708ce7a5928

[ "MIT" ]

395

2019-10-04T09:37:52.000Z

2022-03-29T18:00:56.000Z

backpack/core/derivatives/conv_transpose1d.py

jabader97/backpack

089daafa0d611e13901fd7ecf8a0d708ce7a5928

[ "MIT" ]

78

2019-10-11T18:56:43.000Z

2022-03-23T01:49:54.000Z

backpack/core/derivatives/conv_transpose1d.py

jabader97/backpack

089daafa0d611e13901fd7ecf8a0d708ce7a5928

[ "MIT" ]

50

2019-10-03T16:31:10.000Z

2022-03-15T19:36:14.000Z

"""Partial derivatives for `torch.nn.ConvTranspose1d`.""" from backpack.core.derivatives.conv_transposend import ConvTransposeNDDerivatives class ConvTranspose1DDerivatives(ConvTransposeNDDerivatives): def __init__(self): super().__init__(N=1)

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null

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eaa7efb1da14ce272608ca37cee37c77616fb95f

823

py

Python

app/models/user.py

GOODLIFEZW/zw-flask

3da8b30cd0367255abbf8efad22fceebbf645779

[ "MIT" ]

null

app/models/user.py

GOODLIFEZW/zw-flask

3da8b30cd0367255abbf8efad22fceebbf645779

[ "MIT" ]

null

app/models/user.py

GOODLIFEZW/zw-flask

3da8b30cd0367255abbf8efad22fceebbf645779

[ "MIT" ]

null

from sqlalchemy import Column, String, Integer from werkzeug.security import generate_password_hash, check_password_hash from app.models.base import Base from flask_login import UserMixin from app import login_manager class User(Base, UserMixin): id = Column(Integer, primary_key=True) username = Column(String(64), unique=True, nullable=False) email = Column(String(32), unique=True, nullable=False) password_hash = Column(String(128), nullable=False) # 不保存明文密码 def set_password(self, password): self.password_hash = generate_password_hash(password) def check_password(self, password): return check_password_hash(self.password_hash, password) # 用于flask_login调用，返回一个User模型 @login_manager.user_loader def load_user(uid): return User.query.get(int(uid))

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null

0

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4

eaa8723dc6247e10a243d704929fd640a275ec01

261

py

Python

lbrynet/txlbryum/errors.py

anon4040/lbry

1f1b34863805f4954fbef3f163ef65268a66771a

[ "MIT" ]

null

lbrynet/txlbryum/errors.py

anon4040/lbry

1f1b34863805f4954fbef3f163ef65268a66771a

[ "MIT" ]

null

lbrynet/txlbryum/errors.py

anon4040/lbry

1f1b34863805f4954fbef3f163ef65268a66771a

[ "MIT" ]

1

2018-05-01T09:28:52.000Z

class TransportException(Exception): pass class ServiceException(Exception): code = -2 class RemoteServiceException(Exception): pass class ProtocolException(Exception): pass class MethodNotFoundException(ServiceException): code = -3

13.736842

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null

0

1

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1

0

4

eab5535889451053e2ee6314af5f38f1d8d05de1

101

py

Python

Course-1:Divide-and-Conquer/karger_min_cut.py

karenk1010/Coursera-Algorithms-Specialization

5d293ff6e74e7d6f2090696d21d282e1734f396a

[ "MIT" ]

null

Course-1:Divide-and-Conquer/karger_min_cut.py

karenk1010/Coursera-Algorithms-Specialization

5d293ff6e74e7d6f2090696d21d282e1734f396a

[ "MIT" ]

null

Course-1:Divide-and-Conquer/karger_min_cut.py

karenk1010/Coursera-Algorithms-Specialization

5d293ff6e74e7d6f2090696d21d282e1734f396a

[ "MIT" ]

2

2021-02-04T22:20:15.000Z

2021-02-11T13:27:24.000Z

#!/usr/bin/python3 """ Compute min cut of the graph with Karger algorithm. Problem answer: 17 """

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ead6c1e3aacf7ed1fc76e7c019bd3ef9f7f76ea3

56

py

Python

python/testData/qualifiedName/methodReference/pkg/subpkg/mod.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/qualifiedName/methodReference/pkg/subpkg/mod.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2022-02-19T09:45:05.000Z

2022-02-27T20:32:55.000Z

python/testData/qualifiedName/methodReference/pkg/subpkg/mod.py

tgodzik/intellij-community

f5ef4191fc30b69db945633951fb160c1cfb7b6f

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

class MyClass: def met<caret>hod(self): pass

18.666667

28

0.607143

8

56

4.25

1

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0.285714

56

3

29

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1

0

4

d82d7acb40704826c6fce6005a3e7f15d8e272f9

144

py

Python

Python/Learning/Tips/enumerate.py

prynix/learning-programming

85aea40a61fb824a2b4e142331d9ac7971fef263

[ "MIT" ]

2

2017-03-14T16:02:08.000Z

2017-05-02T13:48:18.000Z

Python/Learning/Tips/enumerate.py

CajetanP/code-learning

85aea40a61fb824a2b4e142331d9ac7971fef263

[ "MIT" ]

4

2021-05-20T21:10:13.000Z

2022-02-26T09:50:19.000Z

Python/Learning/Tips/enumerate.py

CajetanP/code-learning

85aea40a61fb824a2b4e142331d9ac7971fef263

[ "MIT" ]

1

2021-06-18T01:31:24.000Z

my_list = ['apple', 'banana', 'grapes', 'pear'] for c, value in enumerate(my_list, 1): print(c, value) print(list(enumerate(my_list, 0)))

20.571429

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0.2

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dc2214e1f508e78bd7d76d9cbbfdaea6fb07d566

30

py

Python

pineboolib/plugins/dgi/dgi_qt/dgi_objects/__init__.py

juanjosepablos/pineboo

f6ce515aec6e0139821bb9c1d62536d9fb50dae4

[ "MIT" ]

2

2017-12-10T23:06:16.000Z

2017-12-10T23:06:23.000Z

pineboolib/plugins/dgi/dgi_qt/dgi_objects/__init__.py

Aulla/pineboo

3ad6412d365a6ad65c3bb2bdc03f5798d7c37004

[ "MIT" ]

36

2017-11-05T21:13:47.000Z

2020-08-26T15:56:15.000Z

pineboolib/plugins/dgi/dgi_qt/dgi_objects/__init__.py

Aulla/pineboo

3ad6412d365a6ad65c3bb2bdc03f5798d7c37004

[ "MIT" ]

8

2017-11-05T15:56:31.000Z

2019-04-25T16:32:28.000Z

"""DGI_QT_OBJECTS package."""

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4

dc244b293be7c3d7785a9c227810056cb046e34c

22,578

py

Python

scenegraph/exp-official/taskographyv2medium2_FF/taskographyv2medium2_FF_test.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

1

2022-01-30T22:06:57.000Z

scenegraph/exp-official/taskographyv2medium2_FF/taskographyv2medium2_FF_test.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

null

scenegraph/exp-official/taskographyv2medium2_FF/taskographyv2medium2_FF_test.py

taskography/3dscenegraph-dev

2c261241230fbea1f1c687ff793478248f25c02c

[ "MIT" ]

null

STATS = [ { "num_node_expansions": 51, "plan_length": 33, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 87, "plan_length": 35, "search_time": 0.07, "total_time": 0.07 }, { "num_node_expansions": 104, "plan_length": 49, "search_time": 0.61, "total_time": 0.61 }, { "num_node_expansions": 45, "plan_length": 28, "search_time": 0.26, "total_time": 0.26 }, { "num_node_expansions": 45, "plan_length": 28, "search_time": 0.52, "total_time": 0.52 }, { "num_node_expansions": 103, "plan_length": 47, "search_time": 1.25, "total_time": 1.25 }, { "num_node_expansions": 46, "plan_length": 30, "search_time": 0.13, "total_time": 0.13 }, { "num_node_expansions": 93, "plan_length": 37, "search_time": 0.17, "total_time": 0.17 }, { "num_node_expansions": 98, "plan_length": 45, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 69, "plan_length": 34, "search_time": 0.03, "total_time": 0.03 }, { "num_node_expansions": 53, "plan_length": 30, "search_time": 0.1, 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"search_time": 0.06, "total_time": 0.06 }, { "num_node_expansions": 39, "plan_length": 24, "search_time": 0.04, "total_time": 0.04 }, { "num_node_expansions": 83, "plan_length": 37, "search_time": 0.43, "total_time": 0.43 }, { "num_node_expansions": 73, "plan_length": 33, "search_time": 0.36, "total_time": 0.36 }, { "num_node_expansions": 36, "plan_length": 20, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 72, "plan_length": 30, "search_time": 0.01, "total_time": 0.01 }, { "num_node_expansions": 180, "plan_length": 50, "search_time": 3.48, "total_time": 3.48 }, { "num_node_expansions": 45, "plan_length": 30, "search_time": 1.23, "total_time": 1.23 } ] num_timeouts = 0 num_timeouts = 0 num_problems = 172

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dsnull/code-good-parts

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null

api/models.py

dsnull/code-good-parts

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null

api/models.py

dsnull/code-good-parts

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from django.db import models from django.db import models from django.utils import timezone class DeviceToken(models.Model): token = models.CharField(max_length=256) created_date = models.DateTimeField(default=timezone.now)

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[ "MIT" ]

null

pyrmbridge/pyrmbridge/apps.py

reid418/pyrmbridge

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[ "MIT" ]

null

pyrmbridge/pyrmbridge/apps.py

reid418/pyrmbridge

a85b038f6f1b0659dc5b02cfe78f3541a99cbad7

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from __future__ import unicode_literals from django.apps import AppConfig class PyrmbridgeConfig(AppConfig): name = 'pyrmbridge'

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src/lllorigins/home/context.py

AVRC26/blog-ui

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null

from django.conf import settings def global_settings(request): # return any necessary values return { 'UNSPLASH_ID': settings.UNSPLASH_ID, }

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InvenTree/stock/migrations/0063_auto_20210511_2343.py

inmys/InvenTree

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InvenTree/stock/migrations/0063_auto_20210511_2343.py

inmys/InvenTree

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InvenTree/stock/migrations/0063_auto_20210511_2343.py

fablabbcn/InvenTree

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[ "MIT" ]

196

2017-03-28T03:06:21.000Z

2022-03-28T11:53:29.000Z

# Generated by Django 3.2 on 2021-05-11 13:43 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('stock', '0062_auto_20210511_2151'), ] operations = [ migrations.RemoveField( model_name='stockitemtracking', name='link', ), migrations.RemoveField( model_name='stockitemtracking', name='quantity', ), migrations.RemoveField( model_name='stockitemtracking', name='system', ), migrations.RemoveField( model_name='stockitemtracking', name='title', ), ]

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friends/admin.py

Towfiqomi/django-social-media-webapplication

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[ "MIT" ]

2

2019-05-31T21:11:43.000Z

2021-05-01T12:39:57.000Z

friends/admin.py

Towfiqomi/django-social-media-webapplication

18b1de119b7d813478408fe978a09f24e9297db9

[ "MIT" ]

14

2019-06-10T19:27:00.000Z

2022-03-11T23:46:32.000Z

friends/admin.py

Towfiqomi/django-social-media-webapplication

18b1de119b7d813478408fe978a09f24e9297db9

[ "MIT" ]

3

2020-11-01T10:38:15.000Z

2021-12-20T16:51:11.000Z

from django.contrib import admin from friends.models import Friends, FriendRequest # Register your models here. admin.site.register(Friends) admin.site.register(FriendRequest)

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python modules/realworld.py

dalbergasia/Covid-19-Model

8d7739761c0f8874f1ba1e114a1be8c0d1caa27b

[ "MIT" ]

null

python modules/realworld.py

dalbergasia/Covid-19-Model

8d7739761c0f8874f1ba1e114a1be8c0d1caa27b

[ "MIT" ]

null

python modules/realworld.py

dalbergasia/Covid-19-Model

8d7739761c0f8874f1ba1e114a1be8c0d1caa27b

[ "MIT" ]

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Python

Idat_Python2022/Semana_5/examen/2ejemplo.py

Kennethguerra3/Python_Ejercicio_2022

cf1297cf1e1585eba699e32c02993818c3d9ecbf

[ "MIT" ]

null

Idat_Python2022/Semana_5/examen/2ejemplo.py

Kennethguerra3/Python_Ejercicio_2022

cf1297cf1e1585eba699e32c02993818c3d9ecbf

[ "MIT" ]

null

Idat_Python2022/Semana_5/examen/2ejemplo.py

Kennethguerra3/Python_Ejercicio_2022

cf1297cf1e1585eba699e32c02993818c3d9ecbf

[ "MIT" ]

null

edad = int(input("¿Cuántos años tiene? ")) if edad < 18: print("Es usted menor de edad") else: print("Es usted mayor de edad") print("¡Hasta la próxima!")

23.285714

42

0.644172

28

163

3.821429

0.714286

0.130841

0.224299

0

0.015267

0.196319

163

6

43

27.166667

0.78626

0

0.509202

0

1

0

false

0

0.5

1

0

null

0

1

0

1

0

null

0

1

0

4

f4b472701011fa519b07899ebce92bb55bf1e345

193

py

Python

apps/categories/watson_register.py

ExpoAshique/ProveBanking__s

f0b45fffea74d00d14014be27aa50fe5f42f6903

[ "MIT" ]

null

apps/categories/watson_register.py

ExpoAshique/ProveBanking__s

f0b45fffea74d00d14014be27aa50fe5f42f6903

[ "MIT" ]

null

apps/categories/watson_register.py

ExpoAshique/ProveBanking__s

f0b45fffea74d00d14014be27aa50fe5f42f6903

[ "MIT" ]

null

from watson import search as watson from .models import Category if not watson.is_registered(Category): watson.register(Category.objects.all(), fields=("id", "name",))

27.571429

43

0.673575

24

193

5.375

0.708333

0

0.212435

193

6

44

32.166667

0.848684

0

0.031088

0

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0

true

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0.4

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null

0

1

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null

0

1

0

1

0

4

f4b557df1a34c5973128ecc2b6fdc2a621777324

1,127

py

Python

day13_test.py

Elgolfin/adventofcode-2015-py

aa8dc35471c57df3c952233ef5b5ba758dfc0ae3

[ "MIT" ]

null

day13_test.py

Elgolfin/adventofcode-2015-py

aa8dc35471c57df3c952233ef5b5ba758dfc0ae3

[ "MIT" ]

null

day13_test.py

Elgolfin/adventofcode-2015-py

aa8dc35471c57df3c952233ef5b5ba758dfc0ae3

[ "MIT" ]

null

"""Day 13 unit tests""" import unittest import day13_lib class Day01TestCase(unittest.TestCase): """Tests for `day13_lib.py`""" def test_(self): """Tests for the final floor""" people, happiness = day13_lib.parse_input("""Alice would gain 54 happiness units by sitting next to Bob. Alice would lose 79 happiness units by sitting next to Carol. Alice would lose 2 happiness units by sitting next to David. Bob would gain 83 happiness units by sitting next to Alice. Bob would lose 7 happiness units by sitting next to Carol. Bob would lose 63 happiness units by sitting next to David. Carol would lose 62 happiness units by sitting next to Alice. Carol would gain 60 happiness units by sitting next to Bob. Carol would gain 55 happiness units by sitting next to David. David would gain 46 happiness units by sitting next to Alice. David would lose 7 happiness units by sitting next to Bob. David would gain 41 happiness units by sitting next to Carol. """, False) self.assertEqual(day13_lib.get_best_seating_arrangement(people, happiness), 330) if __name__ == '__main__': unittest.main()

40.25

112

0.757764

181

1,127

4.624309

0.309392

0.200717

0.229391

0.329749

0.504182

0.09319

0

0.039046

0.181899

1,127

27

113

41.740741

0.868764

0.060337

0

0.706616

0

0.05

1

0.05

false

0

0.1

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0.2

0

null

1

0

1

0

null

0

4

520355c84d12a2f852a63560284c25b927e9cfde

3,953

py

Python

tests/test_deploy_strategy.py

Lucas-Kohorst/realized-strangle

2c5dec8b8abbda0d27dfbccee2d379e89e5849ec

[ "Unlicense" ]

11

2021-07-20T20:48:41.000Z

2022-02-16T13:22:28.000Z

tests/test_deploy_strategy.py

Lucas-Kohorst/realized-strangle

2c5dec8b8abbda0d27dfbccee2d379e89e5849ec

[ "Unlicense" ]

null

tests/test_deploy_strategy.py

Lucas-Kohorst/realized-strangle

2c5dec8b8abbda0d27dfbccee2d379e89e5849ec

[ "Unlicense" ]

2

2021-08-02T23:50:14.000Z

2021-11-07T16:14:51.000Z

from brownie import reverts def test_constructor(RealVolStrategy, StrikeSelection, vault, gov, keeper): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2400, 1200, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) assert strategy.vault() == vault assert strategy.pool() == vault.pool() assert strategy.baseThreshold() == 2400 assert strategy.limitThreshold() == 1200 assert strategy.maxTwapDeviation() == 500 assert strategy.twapDuration() == 600 assert strategy.keeper() == keeper assert strategy.optionsPremiumPricer() == "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc" def test_constructor_checks(RealVolStrategy, StrikeSelection, vault, gov, keeper): # base_threshold % tickspacing != 0 with reverts("threshold % tickSpacing"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2401, 1200, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # limit_threshold % tickspacing != 0 with reverts("threshold % tickSpacing"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2400, 1201, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # base threshold less than 0 with reverts("threshold > 0"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, -1, 1200, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # limit threshold less than 0 with reverts("threshold > 0"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2400, -1, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # base threshold greater than pool threshold with reverts("threshold too high"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 1000000, 1200, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # limit threshold greater than pool threshold with reverts("threshold too high"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2400, 1000000, 500, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # max_twap_deviation < 0 with reverts("maxTwapDeviation"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2400, 1200, 0, 600, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address) # twap_duration < 0 with reverts("twapDuration"): strikeSelection = gov.deploy( StrikeSelection, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", 1000, 50) strategy = gov.deploy(RealVolStrategy, vault, 2400, 1200, 500, 0, keeper, "0x966878c047e3e4aDa52Baa93A94bc176FF67b2Dc", strikeSelection.address)

52.706667

100

0.687326

303

3,953

8.940594

0.161716

0.059801

0.079734

0.129568

0.806571

0.747139

0.719085

0.692137

0.633075

0.538944

0

0.214145

0.227422

3,953

74

101

53.418919

0.672888

0.064002

0

0.6

0

0.253048

0.216202

0

0.216202

0

0.145455

1

0.036364

false

0

0.018182

0

0.054545

0

null

0

1

0

1

0

null

0

4

520a903220533d191f3cb2b030a311ec4fc59699

37

py

Python

wledpy/__init__.py

DavidM42/wledpy

8f324debcc59afa9a3af76ea4b7414fadad3fece

[ "Apache-2.0" ]

5

2020-07-09T01:31:28.000Z

2021-07-22T12:54:04.000Z

wledpy/__init__.py

DavidM42/wledpy

8f324debcc59afa9a3af76ea4b7414fadad3fece

[ "Apache-2.0" ]

null

wledpy/__init__.py

DavidM42/wledpy

8f324debcc59afa9a3af76ea4b7414fadad3fece

[ "Apache-2.0" ]

2

2021-01-06T02:06:12.000Z

2021-07-22T12:59:14.000Z

name = "wledpy" import wledpy.wled

12.333333

18

0.702703

5

37

5.2

0.8

0

0.189189

37

3

18

12.333333

0.866667

0

0.166667

0

1

0

false

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

4

52232ebe5fdb76b9ed8038d29dfc9c7942f851b8

74

py

Python

monitoring/status-page/status/__init__.py

metronotes-testing/harmony-ops

b9cb64fe2fb28ccaf809b8cf75448e13ce449334

[ "MIT" ]

null

monitoring/status-page/status/__init__.py

metronotes-testing/harmony-ops

b9cb64fe2fb28ccaf809b8cf75448e13ce449334

[ "MIT" ]

null

monitoring/status-page/status/__init__.py

metronotes-testing/harmony-ops

b9cb64fe2fb28ccaf809b8cf75448e13ce449334

[ "MIT" ]

1

2021-11-08T04:42:05.000Z

from flask import Flask app = Flask(__name__) from status import routes

12.333333

25

0.783784

11

74

4.909091

0.636364

0

0.175676

74

5

26

14.8

0.885246

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

523d8f3cf53d24d664d8f3a88c7203e6cdb9d97c

91

py

Python

Project3/inCharge/apps.py

Nakui/PruebaEmpleo

b3cdc8dfeddd1cd24569a291178f2614e42a1eeb

[ "MIT" ]

null

Project3/inCharge/apps.py

Nakui/PruebaEmpleo

b3cdc8dfeddd1cd24569a291178f2614e42a1eeb

[ "MIT" ]

null

Project3/inCharge/apps.py

Nakui/PruebaEmpleo

b3cdc8dfeddd1cd24569a291178f2614e42a1eeb

[ "MIT" ]

null

from django.apps import AppConfig class InchargeConfig(AppConfig): name = 'inCharge'

15.166667

33

0.758242

10

91

6.9

0.9

0

0.164835

91

5

34

18.2

0.907895

0

0.087912

0

1

0

false

0

0.333333

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

524c1478776f1bde18cb9a1d01c2e51bb3f5393e

628

py

Python

uk_stemmer/__init__.py

Desklop/Uk_Stemmer

a700ae1bd9b69ad84d311d089e8bc95ab7fab44d

[ "Apache-2.0" ]

8

2019-10-28T22:51:22.000Z

2021-11-30T10:44:13.000Z

uk_stemmer/__init__.py

Desklop/Uk_Stemmer

a700ae1bd9b69ad84d311d089e8bc95ab7fab44d

[ "Apache-2.0" ]

null

uk_stemmer/__init__.py

Desklop/Uk_Stemmer

a700ae1bd9b69ad84d311d089e8bc95ab7fab44d

[ "Apache-2.0" ]

7

2020-02-28T01:08:30.000Z

2021-05-12T16:09:31.000Z

#!/usr/bin/python3 # -*- coding: utf-8 -*- # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - # OS : GNU/Linux Ubuntu 16.04 or 18.04 # LANGUAGE : Python 3.5.2 or later # AUTHOR : Klim V. O. # DATE : 28.10.2019 # - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - ''' Designed for stemming (taking the basis) of words of the Ukrainian language. Is a slightly 'groomed' version of ukr_stemmer (https://github.com/Amice13/ukr_stemmer). Contains the UkStemmer class. Read more in https://github.com/Desklop/Uk_Stemmer. ''' from .uk_stemmer import UkStemmer

34.888889

88

0.515924

74

628

4.324324

0.783784

0.0625

0.0875

0

0.049356

0.257962

628

17

89

36.941176

0.637339

0.904459

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

4

524cbebfc8c1b5b871ddd46c9d02061077b76fb3

63

py

Python

Cryptocurrency Webhook for Discord/post.py

WonderNote18/py-2.7-Cryptocurrency-Webhook

1af33eec6a9cb593cfdf2dfc7b14e845b4f9e0ff

[ "MIT" ]

null

Cryptocurrency Webhook for Discord/post.py

WonderNote18/py-2.7-Cryptocurrency-Webhook

1af33eec6a9cb593cfdf2dfc7b14e845b4f9e0ff

[ "MIT" ]

null

Cryptocurrency Webhook for Discord/post.py

WonderNote18/py-2.7-Cryptocurrency-Webhook

1af33eec6a9cb593cfdf2dfc7b14e845b4f9e0ff

[ "MIT" ]

null

import coins, times import requests from random import randint

15.75

26

0.84127

9

63

5.888889

0.777778

0

0.142857

63

3

27

21

0.981481

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

4

526d854b29236739fd6f3ad03ccd22be30b95e8f

29,233

py

Python

pygrim/formulas/bessel.py

mezzarobba/fungrim

01866a19882d44420e01383165dbb0a9f97680da

[ "MIT" ]

102

2019-03-15T19:57:55.000Z

2022-03-04T06:56:18.000Z

pygrim/formulas/bessel.py

mezzarobba/fungrim

01866a19882d44420e01383165dbb0a9f97680da

[ "MIT" ]

26

2019-03-15T03:17:26.000Z

2022-02-21T17:46:50.000Z

pygrim/formulas/bessel.py

mezzarobba/fungrim

01866a19882d44420e01383165dbb0a9f97680da

[ "MIT" ]

12

2019-03-15T01:59:04.000Z

2022-02-24T14:53:35.000Z

# -*- coding: utf-8 -*- from ..expr import * def_Topic( Title("Bessel functions"), Entries( "b4165c", "5bb42e", "8ac81d", "ff93d0", ), Section("Differential equations"), Entries( "ad9caa", "62f23c", "95e561", "fd9add", ), Section("Derivatives and recurrence relations"), SeeTopics("Recurrence relations for Bessel functions"), Entries( "d56914", "b6d600", "4fb391", "9d98f8", "5aceb9", "40aeb6", "58d91f", "a0ff0b", ), Section("Hypergeometric representations"), SeeTopics("Hypergeometric representations of Bessel functions"), Entries( "ecd36f", "81eec6", "7efe21", ), Section("Connection formulas"), Entries( "54bce2", "afbd22", "86bc7d", "15bbb1", "2a4195", "d5b7e8", ), Section("Specific values"), SeeTopics("Specific values of Bessel functions"), Entries( "121b21", "d1f5c5", ), Section("Hankel functions"), Entries( "24d383", "d154dd", "6a6a09", "1dce21", ), Section("Integral representations"), Entries( "99c077", "cac83e", "7ae3ed", "c29d6f", ), Section("Bounds and inequalities"), Entries( "3bffa9", "e7b5be", "7f3485", "0836b4", "cc4572", ), ) def_Topic( Title("Recurrence relations for Bessel functions"), SeeTopics("Bessel functions"), Section("Consecutive orders"), Entries( "d56914", "b6d600", "4fb391", "9d98f8", ), Section("Derivatives in terms of the direct functions"), Entries( "f1afc0", "8b6264", "c0247f", "81ffcd", "5aceb9", "40aeb6", "58d91f", "a0ff0b", "2488bb", "68cc2f", "e284d7", "807f3f", ), Section("Consecutive derivatives"), Entries( "15ac84", "f303c9", "9b2f38", "e85dee", "e233b0", "7377c8", ), ) def_Topic( Title("Hypergeometric representations of Bessel functions"), SeeTopics("Bessel functions", "Confluent hypergeometric functions"), Entries( "ecd36f", "81eec6", "b049dc", "7efe21", "98703d", "9ad254", "32e162", "127f05", ), ) make_entry(ID("b4165c"), SymbolDefinition(BesselJ, BesselJ(nu, z), "Bessel function of the first kind"), Description(SourceForm(BesselJ(nu,z)), ", rendered as", BesselJ(nu,z), ", denotes the Bessel function of the first kind. "), Description("The input", nu, "is called the order. The input", z, "is called the argument."), Description("Called with three arguments, ", SourceForm(BesselJ(nu,z,r)), ", rendered as", BesselJ(nu,z,1), ", ", BesselJ(nu,z,2), ", ", BesselJ(nu,z,3), " (", LessEqual(1, r, 3), "), or", BesselJ(nu,z,r), ", represents the order", r, "derivative of the Bessel function with respect to the argument", z, "."), Description("The following table lists conditions such that", SourceForm(BesselJ(nu, z)), "or", SourceForm(BesselJ(nu, z, r)), "is defined in Fungrim."), Table(TableRelation(Tuple(P, Q), Implies(P, Q)), TableHeadings(Description("Domain"), Description("Codomain")), List( TableSection("Numbers"), Tuple(And(Element(nu, ZZ), Element(z, RR)), Element(BesselJ(nu, z), RR)), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity))), Element(BesselJ(nu, z), RR)), Tuple(And(Element(nu, ZZ), Element(z, CC)), Element(BesselJ(nu, z), CC)), Tuple(And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))), Element(BesselJ(nu, z), CC)), Tuple(And(Element(nu, ClosedOpenInterval(0, Infinity)), Element(z, CC)), Element(BesselJ(nu, z), CC)), Tuple(And(Element(nu, ZZ), Element(z, RR), Element(r, ZZGreaterEqual(0))), Element(BesselJ(nu, z, r), RR)), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity)), Element(r, ZZGreaterEqual(0))), Element(BesselJ(nu, z, r), RR)), Tuple(And(Element(nu, ZZ), Element(z, CC), Element(r, ZZGreaterEqual(0))), Element(BesselJ(nu, z, r), CC)), Tuple(And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))), Element(BesselJ(nu, z, r), CC)), )), ) make_entry(ID("5bb42e"), SymbolDefinition(BesselY, BesselY(nu, z), "Bessel function of the second kind"), Description(SourceForm(BesselJ(nu,z)), ", rendered as", BesselY(nu,z), ", denotes the Bessel function of the second kind. "), Description("The input", nu, "is called the order. The input", z, "is called the argument."), Description("Called with three arguments, ", SourceForm(BesselY(nu,z,r)), ", rendered as", BesselY(nu,z,1), ", ", BesselY(nu,z,2), ", ", BesselY(nu,z,3), " (", LessEqual(1, r, 3), "), or", BesselY(nu,z,r), ", represents the order", r, "derivative of the Bessel function with respect to the argument", z, "."), Description("The following table lists conditions such that", SourceForm(BesselY(nu, z)), "or", SourceForm(BesselY(nu, z, r)), "is defined in Fungrim."), Table(TableRelation(Tuple(P, Q), Implies(P, Q)), TableHeadings(Description("Domain"), Description("Codomain")), List( TableSection("Numbers"), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity))), Element(BesselY(nu, z), RR)), Tuple(And(Element(nu, SetMinus(CC, Set(0))), Element(z, CC)), Element(BesselY(nu, z), CC)), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity)), Element(r, ZZGreaterEqual(0))), Element(BesselY(nu, z, r), RR)), Tuple(And(Element(nu, SetMinus(CC, Set(0))), Element(z, CC), Element(r, ZZGreaterEqual(0))), Element(BesselY(nu, z, r), CC)), )), ) make_entry(ID("8ac81d"), SymbolDefinition(BesselI, BesselI(nu, z), "Modified Bessel function of the first kind"), Description(SourceForm(BesselI(nu,z)), ", rendered as", BesselI(nu,z), ", denotes the modified Bessel function of the first kind. "), Description("The input", nu, "is called the order. The input", z, "is called the argument."), Description("Called with three arguments, ", SourceForm(BesselI(nu,z,r)), ", rendered as", BesselI(nu,z,1), ", ", BesselI(nu,z,2), ", ", BesselI(nu,z,3), " (", LessEqual(1, r, 3), "), or", BesselI(nu,z,r), ", represents the order", r, "derivative of the Bessel function with respect to the argument", z, "."), Description("The following table lists conditions such that", SourceForm(BesselI(nu, z)), "or", SourceForm(BesselI(nu, z, r)), "is defined in Fungrim."), Table(TableRelation(Tuple(P, Q), Implies(P, Q)), TableHeadings(Description("Domain"), Description("Codomain")), List( TableSection("Numbers"), Tuple(And(Element(nu, ZZ), Element(z, RR)), Element(BesselI(nu, z), RR)), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity))), Element(BesselI(nu, z), RR)), Tuple(And(Element(nu, ZZ), Element(z, CC)), Element(BesselI(nu, z), CC)), Tuple(And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))), Element(BesselI(nu, z), CC)), Tuple(And(Element(nu, ZZ), Element(z, RR), Element(r, ZZGreaterEqual(0))), Element(BesselI(nu, z, r), RR)), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity)), Element(r, ZZGreaterEqual(0))), Element(BesselI(nu, z, r), RR)), Tuple(And(Element(nu, ZZ), Element(z, CC), Element(r, ZZGreaterEqual(0))), Element(BesselI(nu, z, r), CC)), Tuple(And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))), Element(BesselI(nu, z, r), CC)), )), ) make_entry(ID("ff93d0"), SymbolDefinition(BesselK, BesselK(nu, z), "Modified Bessel function of the second kind"), Description(SourceForm(BesselK(nu,z)), ", rendered as", BesselK(nu,z), ", denotes the modified Bessel function of the second kind. "), Description("The input", nu, "is called the order. The input", z, "is called the argument."), Description("Called with three arguments, ", SourceForm(BesselK(nu,z,r)), ", rendered as", BesselK(nu,z,1), ", ", BesselK(nu,z,2), ", ", BesselK(nu,z,3), " (", LessEqual(1, r, 3), "), or", BesselK(nu,z,r), ", represents the order", r, "derivative of the Bessel function with respect to the argument", z, "."), Description("The following table lists conditions such that", SourceForm(BesselK(nu, z)), "or", SourceForm(BesselK(nu, z, r)), "is defined in Fungrim."), Table(TableRelation(Tuple(P, Q), Implies(P, Q)), TableHeadings(Description("Domain"), Description("Codomain")), List( TableSection("Numbers"), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity))), Element(BesselK(nu, z), RR)), Tuple(And(Element(nu, SetMinus(CC, Set(0))), Element(z, CC)), Element(BesselK(nu, z), CC)), Tuple(And(Element(nu, RR), Element(z, OpenInterval(0, Infinity)), Element(r, ZZGreaterEqual(0))), Element(BesselK(nu, z, r), RR)), Tuple(And(Element(nu, SetMinus(CC, Set(0))), Element(z, CC), Element(r, ZZGreaterEqual(0))), Element(BesselK(nu, z, r), CC)), )), ) make_entry(ID("ad9caa"), Formula(Equal(z**2 * BesselJ(nu,z,2) + z * BesselJ(nu,z,1) + (z**2 - nu**2) * BesselJ(nu,z), 0)), Variables(nu,z), Assumptions( And(Element(nu, ZZ), Element(z, CC)), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("62f23c"), Formula(Equal(z**2 * BesselY(nu,z,2) + z * BesselY(nu,z,1) + (z**2 - nu**2) * BesselY(nu,z), 0)), Variables(nu,z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("95e561"), Formula(Equal(z**2 * BesselI(nu,z,2) + z * BesselI(nu,z,1) - (z**2 + nu**2) * BesselI(nu,z), 0)), Variables(nu,z), Assumptions( And(Element(nu, ZZ), Element(z, CC)), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("fd9add"), Formula(Equal(z**2 * BesselK(nu,z,2) + z * BesselK(nu,z,1) - (z**2 + nu**2) * BesselK(nu,z), 0)), Variables(nu,z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("f1afc0"), Formula(Equal(BesselJ(0,z,1), -BesselJ(1,z))), Variables(z), Assumptions(Element(z, CC))) make_entry(ID("8b6264"), Formula(Equal(BesselY(0,z,1), -BesselY(1,z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("5aceb9"), Formula(Equal(BesselJ(nu,z,1), (BesselJ(nu-1,z) - BesselJ(nu+1,z))/2)), Variables(nu,z), Assumptions( And(Element(nu, ZZ), Element(z, CC)), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("40aeb6"), Formula(Equal(BesselY(nu,z,1), (BesselY(nu-1,z) - BesselY(nu+1,z))/2)), Variables(nu,z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("2488bb"), Formula(Equal(BesselJ(nu,z,r), Div(1,2**r) * Sum((-1)**k * Binomial(r,k) * BesselJ(nu+2*k-r,z), For(k, 0, r)))), Variables(nu,z,r), Assumptions( And(Element(nu, ZZ), Element(z, CC), Element(r, ZZGreaterEqual(0))), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))), )) make_entry(ID("68cc2f"), Formula(Equal(BesselY(nu,z,r), Div(1,2**r) * Sum((-1)**k * Binomial(r,k) * BesselY(nu+2*k-r,z), For(k, 0, r)))), Variables(nu,z,r), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))), )) make_entry(ID("d56914"), Formula(Equal(BesselJ(nu,z), (z/(2*nu))*(BesselJ(nu-1,z) + BesselJ(nu+1,z)))), Variables(nu,z), Assumptions( And(Element(nu, SetMinus(ZZ, Set(0))), Element(z, CC)), And(Element(nu, SetMinus(CC, Set(0))), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("b6d600"), Formula(Equal(BesselY(nu,z), (z/(2*nu))*(BesselY(nu-1,z) + BesselY(nu+1,z)))), Variables(nu,z), Assumptions( And(Element(nu, SetMinus(ZZ, Set(0))), Element(z, CC)), And(Element(nu, SetMinus(CC, Set(0))), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("15ac84"), Formula(Equal((r**2+4*r-n**2+4)*BesselJ(n,0,r+2) + (r+1)*(r+2)*BesselJ(n,0,r), 0)), Variables(n,r), Assumptions(And(Element(n,ZZ), Element(r, ZZGreaterEqual(0))))) make_entry(ID("9b2f38"), Formula(Equal( z**2*(r**2 + 7*r + 12) * (BesselJ(nu,z,r+4) / Factorial(r+4)) + z*(2*r**2+11*r+15) * (BesselJ(nu,z,r+3) / Factorial(r+3)) + (r*(r+4) + z**2 - nu**2 + 4) * (BesselJ(nu,z,r+2) / Factorial(r+2)) + 2*z * (BesselJ(nu,z,r+1) / Factorial(r+1)) + (BesselJ(nu,z,r) / Factorial(r)), 0)), Variables(nu, z, r), Assumptions( And(Element(nu, ZZ), Element(z, CC), Element(r, ZZGreaterEqual(0))), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))) )) make_entry(ID("e85dee"), Formula(Equal( z**2*(r**2 + 7*r + 12) * (BesselY(nu,z,r+4) / Factorial(r+4)) + z*(2*r**2+11*r+15) * (BesselY(nu,z,r+3) / Factorial(r+3)) + (r*(r+4) + z**2 - nu**2 + 4) * (BesselY(nu,z,r+2) / Factorial(r+2)) + 2*z * (BesselY(nu,z,r+1) / Factorial(r+1)) + (BesselY(nu,z,r) / Factorial(r)), 0)), Variables(nu, z, r), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))) )) make_entry(ID("c0247f"), Formula(Equal(BesselI(0,z,1), BesselI(1,z))), Variables(z), Assumptions(Element(z, CC))) make_entry(ID("81ffcd"), Formula(Equal(BesselK(0,z,1), -BesselK(1,z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("58d91f"), Formula(Equal(BesselI(nu,z,1), (BesselI(nu-1,z) + BesselI(nu+1,z))/2)), Variables(nu,z), Assumptions( And(Element(nu, ZZ), Element(z, CC)), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("a0ff0b"), Formula(Equal(BesselK(nu,z,1), -((BesselK(nu-1,z) + BesselK(nu+1,z))/2))), Variables(nu,z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("e284d7"), Formula(Equal(BesselI(nu,z,r), Div(1,2**r) * Sum(Binomial(r,k) * BesselI(nu+2*k-r,z), For(k, 0, r)))), Variables(nu,z,r), Assumptions( And(Element(nu, ZZ), Element(z, CC), Element(r, ZZGreaterEqual(0))), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))), )) make_entry(ID("807f3f"), Formula(Equal(BesselK(nu,z,r), Div((-1)**r,2**r) * Sum(Binomial(r,k) * BesselK(nu+2*k-r,z), For(k, 0, r)))), Variables(nu,z,r), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))), )) make_entry(ID("4fb391"), Formula(Equal(BesselI(nu,z), (z/(2*nu))*(BesselI(nu-1,z) - BesselI(nu+1,z)))), Variables(nu,z), Assumptions( And(Element(nu, SetMinus(ZZ, Set(0))), Element(z, CC)), And(Element(nu, SetMinus(CC, Set(0))), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("9d98f8"), Formula(Equal(BesselK(nu,z), -((z/(2*nu))*(BesselK(nu-1,z) - BesselK(nu+1,z))))), Variables(nu,z), Assumptions( And(Element(nu, SetMinus(ZZ, Set(0))), Element(z, CC)), And(Element(nu, SetMinus(CC, Set(0))), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("f303c9"), Formula(Equal((r**2+4*r-n**2+4)*BesselI(n,0,r+2) - (r+1)*(r+2)*BesselI(n,0,r), 0)), Variables(n,r), Assumptions(And(Element(n,ZZ), Element(r, ZZGreaterEqual(0))))) make_entry(ID("e233b0"), Formula(Equal( z**2*(r**2 + 7*r + 12) * (BesselI(nu,z,r+4) / Factorial(r+4)) + z*(2*r**2+11*r+15) * (BesselI(nu,z,r+3) / Factorial(r+3)) + (r*(r+4) - z**2 - nu**2 + 4) * (BesselI(nu,z,r+2) / Factorial(r+2)) - 2*z * (BesselI(nu,z,r+1) / Factorial(r+1)) - (BesselI(nu,z,r) / Factorial(r)), 0)), Variables(nu, z, r), Assumptions( And(Element(nu, ZZ), Element(z, CC), Element(r, ZZGreaterEqual(0))), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))) )) make_entry(ID("7377c8"), Formula(Equal( z**2*(r**2 + 7*r + 12) * (BesselK(nu,z,r+4) / Factorial(r+4)) + z*(2*r**2+11*r+15) * (BesselK(nu,z,r+3) / Factorial(r+3)) + (r*(r+4) - z**2 - nu**2 + 4) * (BesselK(nu,z,r+2) / Factorial(r+2)) - 2*z * (BesselK(nu,z,r+1) / Factorial(r+1)) - (BesselK(nu,z,r) / Factorial(r)), 0)), Variables(nu, z, r), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0))), Element(r, ZZGreaterEqual(0))) )) make_entry(ID("ecd36f"), Formula(Equal(BesselJ(nu, z), (z/2)**nu * Hypergeometric0F1Regularized(nu+1, -(z**2/4)))), Variables(nu, z), Assumptions( And(Element(nu, ZZGreaterEqual(0)), Element(z, CC)), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("81eec6"), Formula(Equal(BesselI(nu, z), (z/2)**nu * Hypergeometric0F1Regularized(nu+1, (z**2/4)))), Variables(nu, z), Assumptions( And(Element(nu, ZZGreaterEqual(0)), Element(z, CC)), And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("b049dc"), Formula(Equal(BesselY(nu, z), (1/Sin(Pi*nu)) * (Cos(Pi*nu) * (z/2)**nu * Hypergeometric0F1Regularized(nu+1, -(z**2/4)) - (z/2)**(-nu) * Hypergeometric0F1Regularized(1-nu, -(z**2/4))))), Variables(nu, z), Assumptions( And(Element(nu, SetMinus(CC, ZZ)), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("7efe21"), Formula(Equal(BesselK(nu, z), ((2*z)/Pi)**(-Div(1,2)) * Exp(-z) * HypergeometricUStar(nu+Div(1,2), 2*nu+1, 2*z))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("98703d"), Formula(Equal(BesselK(nu, z), Div(1,2) * (Pi/Sin(Pi*nu)) * (Div(z,2)**(-nu) * Hypergeometric0F1Regularized(1-nu, z**2/4) - Div(z,2)**nu * Hypergeometric0F1Regularized(1+nu, z**2/4)))), Variables(nu, z), Assumptions( And(Element(nu, SetMinus(CC, ZZ)), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("9ad254"), Formula(Equal(BesselJ(nu, z), (z/2)**nu * (Exp(-(ConstI*z)) / Gamma(nu+1)) * Hypergeometric1F1(nu+Div(1,2), 2*nu+1, 2*ConstI*z))), Variables(nu, z), Assumptions( And(Element(nu, ZZGreaterEqual(0)), Element(z, CC)), And(Element(nu, CC), NotElement(nu, ZZLessEqual(-1)), Element(z, SetMinus(CC, Set(0)))) )) _Ap = (ConstI*z)**(-Div(1,2)-nu) _Am = (-(ConstI*z))**(-Div(1,2)-nu) _Bp = Exp(ConstI*z) * HypergeometricUStar(nu+Div(1,2), 2*nu+1, -(2*ConstI*z)) _Bm = Exp(-(ConstI*z)) * HypergeometricUStar(nu+Div(1,2), 2*nu+1, (2*ConstI*z)) make_entry(ID("32e162"), Formula(Equal(BesselJ(nu, z), (z**nu / (2*Pi)**(Div(1,2))) * (_Ap*_Bp + _Am*_Bm))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("127f05"), Formula(Where(Equal(BesselJ(nu, z), (2*Pi*z)**(-Div(1,2)) * (Exp(-(ConstI*theta)) * HypergeometricUStar(nu+Div(1,2), 2*nu+1, -(2*ConstI*z)) + Exp(ConstI*theta) * HypergeometricUStar(nu+Div(1,2), 2*nu+1, (2*ConstI*z)))), Equal(theta, Pi*(2*nu+1)/4-z))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, CC), Greater(Re(z), 0)), )) make_entry(ID("54bce2"), Formula(Equal(BesselJ(-n, z), (-1)**n * BesselJ(n, z))), Variables(n, z), Assumptions( And(Element(n, ZZ), Element(z, CC)), )) make_entry(ID("afbd22"), Formula(Equal(BesselI(-n, z), BesselI(n, z))), Variables(n, z), Assumptions( And(Element(n, ZZ), Element(z, CC)), )) make_entry(ID("86bc7d"), Formula(Equal(BesselI(nu, z), z**nu * (ConstI*z)**(-nu) * BesselJ(nu, ConstI*z))), Variables(nu, z), Assumptions(And(Element(nu, CC), Element(z, CC), Or(NotEqual(z, 0), Equal(nu, 0))))) make_entry(ID("15bbb1"), Formula(Equal(BesselI(n, z), ConstI**(-n) * BesselJ(n, ConstI*z))), Variables(n, z), Assumptions( And(Element(n, ZZ), Element(z, CC)), )) make_entry(ID("2a4195"), Formula(Equal(BesselY(nu, z), ((Cos(Pi*nu)*BesselJ(nu,z) - BesselJ(-nu,z))/Sin(Pi*nu)))), Variables(nu, z), Assumptions( And(Element(nu, SetMinus(CC, ZZ)), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("d5b7e8"), Formula(Equal(BesselY(n, z), -(2/Pi) * (ConstI**n * BesselK(n, ConstI*z) + (Log(ConstI*z)-Log(z))*BesselJ(n,z)))), Variables(n, z), Assumptions( And(Element(n, ZZ), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("24d383"), SymbolDefinition(HankelH1, HankelH1(nu, z), "Hankel function of the first kind"), Description("The following table lists all conditions such that", SourceForm(HankelH1(nu, z)), "is defined in Fungrim."), Table(TableRelation(Tuple(P, Q), Implies(P, Q)), TableHeadings(Description("Domain"), Description("Codomain")), List( TableSection("Numbers"), Tuple(And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))), Element(HankelH1(nu, z), CC)), )), ) make_entry(ID("d154dd"), SymbolDefinition(HankelH2, HankelH2(nu, z), "Hankel function of the second kind"), Description("The following table lists all conditions such that", SourceForm(HankelH2(nu, z)), "is defined in Fungrim."), Table(TableRelation(Tuple(P, Q), Implies(P, Q)), TableHeadings(Description("Domain"), Description("Codomain")), List( TableSection("Numbers"), Tuple(And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))), Element(HankelH2(nu, z), CC)), )), ) make_entry(ID("6a6a09"), Formula(Equal(HankelH1(nu, z), BesselJ(nu, z) + ConstI * BesselY(nu, z))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("1dce21"), Formula(Equal(HankelH2(nu, z), BesselJ(nu, z) - ConstI * BesselY(nu, z))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, SetMinus(CC, Set(0)))) )) make_entry(ID("99c077"), Formula(Equal(BesselJ(n,z), (1/Pi) * Integral(Cos(n*t - z*Sin(t)), For(t, 0, Pi)))), Variables(n, z), Assumptions( And(Element(n, ZZ), Element(z, CC)), )) make_entry(ID("cac83e"), Formula(Equal(BesselJ(nu,z), (1/Pi) * Integral(Cos(nu*t - z*Sin(t)), For(t, 0, Pi)) - Sin(Pi*nu)/Pi * Integral(Exp(-(z*Sinh(t))-nu*t), For(t, 0, Infinity)))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, CC), Greater(Re(z), 0)), )) make_entry(ID("7ae3ed"), Formula(Equal(BesselI(nu,z), (1/Pi) * Integral(Exp(z*Cos(t))*Cos(nu*t), For(t, 0, Pi)) - Sin(Pi*nu)/Pi * Integral(Exp(-(z*Cosh(t))-nu*t), For(t, 0, Infinity)))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, CC), Greater(Re(z), 0)), )) make_entry(ID("c29d6f"), Formula(Equal(BesselK(nu,z), Integral(Exp(-(z*Cosh(t)))*Cosh(nu*t), For(t, 0, Infinity)))), Variables(nu, z), Assumptions( And(Element(nu, CC), Element(z, CC), Greater(Re(z), 0)), )) _landau_ref = "L. Landau. Monotonicity and bounds on Bessel functions. Proceedings of the Symposium on Mathematical Physics and Quantum Field Theory. Vol. 4. Southwest Texas State Univ. San Marcos, TX, 2000. http://emis.ams.org/journals/EJDE/conf-proc/04/l1/landau.pdf" make_entry(ID("3bffa9"), Formula(LessEqual(Abs(BesselJ(nu,x)), 1)), Variables(nu, x), Assumptions(And(Element(nu, ClosedOpenInterval(0, Infinity)), Element(x, RR)))) make_entry(ID("e7b5be"), Formula(LessEqual(Abs(BesselJ(nu,x)), Decimal("0.6749") * Pow(nu, -Div(1,3)))), Variables(nu, x), Assumptions(And(Element(nu, OpenInterval(0, Infinity)), Element(x, ClosedOpenInterval(0, Infinity)))), References(_landau_ref)) make_entry(ID("7f3485"), Formula(LessEqual(Abs(BesselJ(nu,x)), Decimal("0.7858") * Pow(x, -Div(1,3)))), Variables(nu, x), Assumptions(And(Element(nu, ClosedOpenInterval(0, Infinity)), Element(x, OpenInterval(0, Infinity)))), References(_landau_ref)) make_entry(ID("0836b4"), Formula(LessEqual(Abs(BesselJ(n,z)), Exp(Abs(Im(z))))), Variables(n, z), Assumptions(And(Element(n, ZZ), Element(z, CC)))) make_entry(ID("cc4572"), Formula(LessEqual(Abs(BesselJ(nu,z)), (1/Gamma(nu+1)) * Abs(z/2)**nu * Exp(Abs(Im(z))))), Variables(nu, z), Assumptions(And(Element(nu, ClosedOpenInterval(-Div(1,2), Infinity)), Element(z, SetMinus(CC, Set(0)))))) def_Topic( Title("Specific values of Bessel functions"), SeeTopics("Bessel functions"), Section("Trigonometric cases"), Entries( "621a9b", "121b21", "a2a294", "5679f2", "4dfd41", "8472cc", ), Section("Hyperbolic cases"), Entries( "5d9c43", "a59981", "65647f", "7ac286", "d1f5c5", "0c09cc", ), Section("Airy function cases"), SeeTopics("Airy functions"), Entries( "685892", "d39c46", "e72e96", "fda595", "49d754", "c362e8", ), ) make_entry(ID("621a9b"), Formula(Equal(BesselJ(-Div(1,2),z), Pow((2*z)/Pi, Div(1,2)) * (Cos(z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("121b21"), Formula(Equal(BesselJ(Div(1,2),z), Pow((2*z)/Pi, Div(1,2)) * (Sin(z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("a2a294"), Formula(Equal(BesselJ(Div(3,2),z), Pow((2*z)/Pi, Div(1,2)) * ((Sin(z)/z**2 - Cos(z)/z)))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("5679f2"), Formula(Equal(BesselY(-Div(1,2),z), Pow((2*z)/Pi, Div(1,2)) * (Sin(z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("4dfd41"), Formula(Equal(BesselY(Div(1,2),z), -(Pow((2*z)/Pi, Div(1,2)) * (Cos(z) / z)))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("8472cc"), Formula(Equal(BesselY(Div(3,2),z), -(Pow((2*z)/Pi, Div(1,2)) * (Cos(z)/z**2 + Sin(z)/z)))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("5d9c43"), Formula(Equal(BesselI(-Div(1,2),z), Pow((2*z)/Pi, Div(1,2)) * (Cosh(z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("a59981"), Formula(Equal(BesselI(Div(1,2),z), Pow((2*z)/Pi, Div(1,2)) * (Sinh(z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("65647f"), Formula(Equal(BesselI(Div(3,2),z), Pow((2*z)/Pi, Div(1,2)) * ((Cosh(z)/z - Sinh(z)/z**2)))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("7ac286"), Formula(Equal(BesselK(-Div(1,2),z), Pow((Pi*z)/2, Div(1,2)) * (Exp(-z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("d1f5c5"), Formula(Equal(BesselK(Div(1,2),z), Pow((Pi*z)/2, Div(1,2)) * (Exp(-z) / z))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("0c09cc"), Formula(Equal(BesselK(Div(3,2),z), Pow((Pi*z)/2, Div(1,2)) * (Exp(-z) * (1/z + 1/z**2)))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("685892"), Formula(Equal(BesselJ(-Div(1,3),z), Where((1/(2*omega)) * (3 * AiryAi(-omega**2) + Sqrt(3) * AiryBi(-omega**2)), Equal(omega, (3*z/2)**Div(1,3))))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("d39c46"), Formula(Equal(BesselJ(Div(1,3),z), Where((1/(2*omega)) * (3 * AiryAi(-omega**2) - Sqrt(3) * AiryBi(-omega**2)), Equal(omega, (3*z/2)**Div(1,3))))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("e72e96"), Formula(Equal(BesselJ(Div(2,3),z), Where((1/(2*omega**2)) * (3 * AiryAi(-omega**2,1) + Sqrt(3) * AiryBi(-omega**2,1)), Equal(omega, (3*z/2)**Div(1,3))))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("fda595"), Formula(Equal(BesselK(-Div(1,3),z), Where((Sqrt(3)*Pi/omega) * AiryAi(omega**2), Equal(omega, (3*z/2)**Div(1,3))))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("49d754"), Formula(Equal(BesselK(Div(1,3),z), Where((Sqrt(3)*Pi/omega) * AiryAi(omega**2), Equal(omega, (3*z/2)**Div(1,3))))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0))))) make_entry(ID("c362e8"), Formula(Equal(BesselK(Div(2,3),z), Where(-((Sqrt(3)*Pi/omega**2) * AiryAi(omega**2,1)), Equal(omega, (3*z/2)**Div(1,3))))), Variables(z), Assumptions(Element(z, SetMinus(CC, Set(0)))))

38.063802

269

0.583382

4,230

29,233

4.009693

0.064303

0.031307

0.057308

0.054478

0.809858

0.749307

0.710453

0.69648

0.646542

0.623961

0

0.050899

0.193514

29,233

767

270

38.113429

0.668519

0.000718

0

0.489521

0

0.001497

0.129001

0

1

0

false

0

0.001497

0

0.001497

0

null

0

1

0

1

0

null

0

4

5276b68d2f3e9f5d961b37ad31fdf3c9629c989e

27

py

Python

data/studio21_generated/introductory/4518/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/4518/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/4518/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def wheres_wally(string):

13.5

25

0.777778

4

27

5

1

0

0.111111

27

2

26

13.5

0.833333

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

528b0719a7088bdf24dff28665d18fd1e2e21e4c

136

py

Python

09_organizing_larger_programs/multi-reader-program/__main__.py

bluehenry/python.best.practices

99fde3557b0c423d3050e988e82a641ccd75b644

[ "MIT" ]

null

09_organizing_larger_programs/multi-reader-program/__main__.py

bluehenry/python.best.practices

99fde3557b0c423d3050e988e82a641ccd75b644

[ "MIT" ]

null

09_organizing_larger_programs/multi-reader-program/__main__.py

bluehenry/python.best.practices

99fde3557b0c423d3050e988e82a641ccd75b644

[ "MIT" ]

null

import sys from demo_reader.multireader import MultiReader filename = sys.argv[1] r = MultiReader(filename) print(r.read()) r.close()

15.111111

47

0.764706

20

136

5.15

0.65

0.368932

0

0.008333

0.117647

136

9

48

15.111111

0.85

0

1

0

false

0

0.333333

0

0.333333

0.166667

1

0

null

1

0

1

0

null

0

1

0

4

5295d006d5a23aab61c77d6c126175d14853af6f

19

py

Python

__init__.py

tdincer/ewolm

4e7baa2a231b54a11e1fb7fa7a238a56622ec61a

[ "MIT" ]

null

__init__.py

tdincer/ewolm

4e7baa2a231b54a11e1fb7fa7a238a56622ec61a

[ "MIT" ]

null

__init__.py

tdincer/ewolm

4e7baa2a231b54a11e1fb7fa7a238a56622ec61a

[ "MIT" ]

null

__all__ = ['ewolm']

19

0.631579

2

19

4

1

0

0.105263

19

1

19

0.470588

0

0.25

0

1

0

false

0

1

0

null

0

1

0

1

0

null

0

4

bff8adfeb9e645deb047adcadda5905d2e8e4355

262

py

Python

VirtualMachine/usage.py

samarthkittur/VirtualMachine

c8eb460d21ffb015428784abe69830157b7815f5

[ "MIT" ]

1

2021-07-21T16:16:58.000Z

VirtualMachine/usage.py

samarthkittur/VirtualMachine

c8eb460d21ffb015428784abe69830157b7815f5

[ "MIT" ]

1

2021-07-06T23:13:39.000Z

2021-07-06T23:13:58.000Z

VirtualMachine/usage.py

samarthkittur/VirtualMachine

c8eb460d21ffb015428784abe69830157b7815f5

[ "MIT" ]

null

from vmachine import Machine Machine([ '"Enter a number: "', "print", "read", "cast_int", '"The number "', "print", "dup", "print", '" is "', "print", 2, "%", 0, "==", '"even."', '"odd."', "if", "println", 0, "jmp" ]).run()

32.75

68

0.438931

28

262

4.071429

0.785714

0.192982

0

0.015707

0.270992

262

7

69

37.428571

0.581152

0

0.381679

0

null

0

0.142857

null

0.428571

1

0

null

0

1

0

null

0

1

0

1

0

4

87204691a0aac3c2e5a3c545997a798d593e697c

34

py

Python

data/studio21_generated/introductory/3583/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3583/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

data/studio21_generated/introductory/3583/starter_code.py

vijaykumawat256/Prompt-Summarization

614f5911e2acd2933440d909de2b4f86653dc214

[ "Apache-2.0" ]

null

def binary_array_to_number(arr):

17

32

0.823529

6

34

4.166667

1

0

0.088235

34

2

33

17

0.806452

0

null

0

null

0

1

0

null

0

1

0

null

0

1

0

4

875b163e8e779a80f6ef3a0a08d63ff5e4a35032

94

py

Python

test/basic/drivers/tesic_apb/clean.py

sebastien-riou/SATL

b95d0e784d2e8e1384381d4d5b8b448d3d1798cf

[ "Apache-2.0" ]

4

2020-05-13T10:13:55.000Z

2021-10-20T04:43:07.000Z

test/basic/drivers/tesic_apb/clean.py

TiempoSecure/SATL

b95d0e784d2e8e1384381d4d5b8b448d3d1798cf

[ "Apache-2.0" ]

4

2020-07-22T16:06:31.000Z

2021-07-25T19:51:41.000Z

test/basic/drivers/tesic_apb/clean.py

TiempoSecure/SATL

b95d0e784d2e8e1384381d4d5b8b448d3d1798cf

[ "Apache-2.0" ]

2

2019-05-12T21:15:00.000Z

2020-09-23T09:05:24.000Z

#!/usr/bin/env python3 import shutil shutil.rmtree('../../bin/tesic_apb',ignore_errors=True)

18.8

55

0.734043

14

94

4.785714

0.857143

0

0.011364

0.06383

94

4

56

23.5

0.75

0.223404

0

0.263889

0

1

0

true

0

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

1

0

4

8763bfbba73e7b8edb05f4c9552abf2eabe3f32b

266

py

Python

src/garage/tf/samplers/__init__.py

Maltimore/garage

a3f44b37eeddca37d157766a9a72e8772f104bcd

[ "MIT" ]

null

src/garage/tf/samplers/__init__.py

Maltimore/garage

a3f44b37eeddca37d157766a9a72e8772f104bcd

[ "MIT" ]

null

src/garage/tf/samplers/__init__.py

Maltimore/garage

a3f44b37eeddca37d157766a9a72e8772f104bcd

[ "MIT" ]

null

"""Samplers which run agents that use Tensorflow in environments.""" from garage.tf.samplers.batch_sampler import BatchSampler from garage.tf.samplers.ray_sampler import (RaySamplerTF, SamplerWorkerTF) __all__ = ['BatchSampler', 'RaySamplerTF', 'SamplerWorkerTF']

38

74

0.804511

30

266

6.933333

0.666667

0.096154

0.115385

0.192308

0

0.093985

266

6

75

44.333333

0.863071

0.233083

0

0.19697

0

1

0

false

0

0.666667

0

0.666667

0

null

0

1

0

1

0

null

0

1

0

1

0

4

5e9e1784f67c165d5bf02047bde1137491fbf5d0

104

py

Python

haul/__init__.py

dojekyll/haul

234024ab8452ea2f41b18561377295cf2879fb20

[ "MIT" ]

89

2017-01-20T04:27:00.000Z

2021-11-17T11:02:12.000Z

haul/__init__.py

Python3pkg/haul

765c22bd69316037534a7bf36b3033b75f7a0682

[ "MIT" ]

1

2017-11-22T14:36:18.000Z

2018-12-06T11:50:20.000Z

haul/__init__.py

Python3pkg/haul

765c22bd69316037534a7bf36b3033b75f7a0682

[ "MIT" ]

23

2015-04-27T22:45:09.000Z

2017-01-08T10:35:17.000Z

# coding: utf-8 __version__ = '1.3.1' from .api import find_images from .core import Haul, HaulResult

14.857143

34

0.730769

17

104

4.176471

0.823529

0

0.045977

0.163462

104

6

35

17.333333

0.770115

0.125

0

0.05618

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

4

5eba2aace8768cc661d1f29c24ca967146c00613

102

py

Python

recport/main.py

CircleOnCircles/recport

371f8af612f7a0787eab9267ffe65f372c7badb2

[ "MIT" ]

null

recport/main.py

CircleOnCircles/recport

371f8af612f7a0787eab9267ffe65f372c7badb2

[ "MIT" ]

null

recport/main.py

CircleOnCircles/recport

371f8af612f7a0787eab9267ffe65f372c7badb2

[ "MIT" ]

1

2020-02-03T13:52:22.000Z

import sys def run1(): print("hello world!") print(sys.argv) def run2(): print("bye")

9.272727

25

0.568627

14

102

4.142857

0.714286

0

0.026316

0.254902

102

10

26

10.2

0.736842

0

0.147059

0

1

0.333333

true

0

0.166667

0

0.5

1

0

null

0

null

0

1

0

1

0

4

0d5c9a5866cc843c070c4acfb9ad898cf8e41c0b

1,337

py

Python

pyspark_expectations/__init__.py

dm-drogeriemarkt/pyspark-expectations

0f352190e20c7864fc48e8be88447d24d2362801

[ "MIT" ]

null

pyspark_expectations/__init__.py

dm-drogeriemarkt/pyspark-expectations

0f352190e20c7864fc48e8be88447d24d2362801

[ "MIT" ]

1

2021-04-30T11:45:57.000Z

pyspark_expectations/__init__.py

dm-drogeriemarkt/pyspark-expectations

0f352190e20c7864fc48e8be88447d24d2362801

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- __version__ = "0.0.1" from pyspark.sql import DataFrame # Add expectations to PySpark DataFrames from .expectations import ( expect_table_row_count_to_be_between, expect_column_values_to_be_null, expect_column_values_to_not_be_null, expect_column_values_to_be_between, expect_column_values_to_match_regex, expect_column_values_not_to_match_regex, expect_column_values_to_be_in_set, expect_column_values_to_be_unique ) from .arguments_format_checker import ( check_var_type, check_min_max, check_unexpected_percent, check_column_name, check_allowed_unexpected_percent ) DataFrame.expect_table_row_count_to_be_between = expect_table_row_count_to_be_between DataFrame.expect_column_values_to_be_null = expect_column_values_to_be_null DataFrame.expect_column_values_to_not_be_null = expect_column_values_to_not_be_null DataFrame.expect_column_values_to_be_between = expect_column_values_to_be_between DataFrame.expect_column_values_to_match_regex = expect_column_values_to_match_regex DataFrame.expect_column_values_not_to_match_regex = expect_column_values_not_to_match_regex DataFrame.expect_column_values_to_be_in_set = expect_column_values_to_be_in_set DataFrame.expect_column_values_to_be_unique = expect_column_values_to_be_unique

36.135135

91

0.866118

209

1,337

4.827751

0.220096

0.249752

0.374628

0.356789

0.75223

0.681863

0.610505

0.507433

0.450942

0

0.0033

0.093493

1,337

36

92

37.138889

0.829208

0.060583

0

0.00399

0

1

0

false

0

0.111111

0

0.111111

0

null

1

0

1

0

null

0

4

0d733ef15c540f8fd6bc0082256174bc3cc25e7f

5,577

py

Python

example/postgres_tests/models.py

netzkolchose/django-fast-update

13bfd99b3ac90d3fc04fde1c3350f84dae7a4be4

[ "MIT" ]

null

example/postgres_tests/models.py

netzkolchose/django-fast-update

13bfd99b3ac90d3fc04fde1c3350f84dae7a4be4

[ "MIT" ]

null

example/postgres_tests/models.py

netzkolchose/django-fast-update

13bfd99b3ac90d3fc04fde1c3350f84dae7a4be4

[ "MIT" ]

null

from django.db import models from django.contrib.postgres.fields import (ArrayField, HStoreField, IntegerRangeField, DateTimeRangeField, DateRangeField) from fast_update.query import FastUpdateManager from datetime import date, datetime, timedelta, time from decimal import Decimal from uuid import uuid4 import pytz fixed_uuid = uuid4() class PostgresFields(models.Model): objects = FastUpdateManager() int1d = ArrayField(models.IntegerField(null=True), null=True) int2d = ArrayField(ArrayField(models.IntegerField(null=True), null=True), null=True) txt1d = ArrayField(models.CharField(max_length=32, null=True), null=True) txt2d = ArrayField(ArrayField(models.CharField(max_length=32, null=True), null=True), null=True) hstore = HStoreField(null=True) int_r = IntegerRangeField(null=True) dt_r = DateTimeRangeField(null=True) date_r = DateRangeField(null=True) class FieldUpdateNotNull(models.Model): objects = FastUpdateManager() f_biginteger = models.BigIntegerField(default=0) f_binary = models.BinaryField(default=b'') f_boolean = models.BooleanField(default=False) f_char = models.CharField(max_length=32, default='') f_date = models.DateField(default=date(1000, 1, 1)) f_datetime = models.DateTimeField(default=datetime(1000,1,1,0,0,0, tzinfo=pytz.UTC)) f_decimal = models.DecimalField(max_digits=10, decimal_places=2, default=Decimal(0)) f_duration = models.DurationField(default=timedelta(days=1)) f_email = models.EmailField(default='') f_float = models.FloatField(default=0.0) f_integer = models.IntegerField(default=0) f_ip = models.GenericIPAddressField(default='127.0.0.1') f_json = models.JSONField(default=dict) f_slug = models.SlugField(default='') f_smallinteger = models.SmallIntegerField(default=0) f_text = models.TextField(default='') f_time = models.TimeField(default=time(1, 0, 0)) f_url = models.URLField(default='') f_uuid = models.UUIDField(default=fixed_uuid) class CustomField(models.Field): pass class FieldUpdateArray(models.Model): objects = FastUpdateManager() f_biginteger = ArrayField(models.BigIntegerField(null=True), null=True) f_binary = ArrayField(models.BinaryField(null=True), null=True) f_boolean = ArrayField(models.BooleanField(null=True), null=True) f_char = ArrayField(models.CharField(max_length=32, null=True), null=True) f_date = ArrayField(models.DateField(null=True), null=True) f_datetime = ArrayField(models.DateTimeField(null=True), null=True) f_decimal = ArrayField(models.DecimalField(max_digits=10, decimal_places=2, null=True), null=True) f_duration = ArrayField(models.DurationField(null=True), null=True) f_email = ArrayField(models.EmailField(null=True), null=True) f_float = ArrayField(models.FloatField(null=True), null=True) f_integer = ArrayField(models.IntegerField(null=True), null=True) f_ip = ArrayField(models.GenericIPAddressField(null=True), null=True) f_json = ArrayField(models.JSONField(null=True), null=True) f_slug = ArrayField(models.SlugField(null=True), null=True) f_smallinteger = ArrayField(models.SmallIntegerField(null=True), null=True) f_text = ArrayField(models.TextField(null=True), null=True) f_time = ArrayField(models.TimeField(null=True), null=True) f_url = ArrayField(models.URLField(null=True), null=True) f_uuid = ArrayField(models.UUIDField(null=True), null=True) f_biginteger2 = ArrayField(ArrayField(models.BigIntegerField(null=True), null=True), null=True) f_binary2 = ArrayField(ArrayField(models.BinaryField(null=True), null=True), null=True) f_boolean2 = ArrayField(ArrayField(models.BooleanField(null=True), null=True), null=True) f_char2 = ArrayField(ArrayField(models.CharField(max_length=32, null=True), null=True), null=True) f_date2 = ArrayField(ArrayField(models.DateField(null=True), null=True), null=True) f_datetime2 = ArrayField(ArrayField(models.DateTimeField(null=True), null=True), null=True) f_decimal2 = ArrayField(ArrayField(models.DecimalField(max_digits=10, decimal_places=2, null=True), null=True), null=True) f_duration2 = ArrayField(ArrayField(models.DurationField(null=True), null=True), null=True) f_email2 = ArrayField(ArrayField(models.EmailField(null=True), null=True), null=True) f_float2 = ArrayField(ArrayField(models.FloatField(null=True), null=True), null=True) f_integer2 = ArrayField(ArrayField(models.IntegerField(null=True), null=True), null=True) f_ip2 = ArrayField(ArrayField(models.GenericIPAddressField(null=True), null=True), null=True) f_json2 = ArrayField(ArrayField(models.JSONField(null=True), null=True), null=True) f_slug2 = ArrayField(ArrayField(models.SlugField(null=True), null=True), null=True) f_smallinteger2 = ArrayField(ArrayField(models.SmallIntegerField(null=True), null=True), null=True) f_text2 = ArrayField(ArrayField(models.TextField(null=True), null=True), null=True) f_time2 = ArrayField(ArrayField(models.TimeField(null=True), null=True), null=True) f_url2 = ArrayField(ArrayField(models.URLField(null=True), null=True), null=True) f_uuid2 = ArrayField(ArrayField(models.UUIDField(null=True), null=True), null=True) class TestCoverage(models.Model): objects = FastUpdateManager() hstore = HStoreField() int_r = IntegerRangeField() int_2d = ArrayField(ArrayField(models.IntegerField(default=1))) hstore_2d = ArrayField(ArrayField(HStoreField())) int_r_2d = ArrayField(ArrayField(IntegerRangeField()))

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0d7e48dc9e71ac441344644a5c68665835d17c4e

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py

Python

venv/lib/python3.6/encodings/utf_16_le.py

JamesMusyoka/Blog

fdcb51cf4541bbb3b9b3e7a1c3735a0b1f45f0b5

[ "Unlicense" ]

2

2019-04-17T13:35:50.000Z

2021-12-21T00:11:36.000Z

venv/lib/python3.6/encodings/utf_16_le.py

JamesMusyoka/Blog

fdcb51cf4541bbb3b9b3e7a1c3735a0b1f45f0b5

[ "Unlicense" ]

2

2021-03-31T19:51:24.000Z

2021-06-10T23:05:09.000Z

venv/lib/python3.6/encodings/utf_16_le.py

JamesMusyoka/Blog

fdcb51cf4541bbb3b9b3e7a1c3735a0b1f45f0b5

[ "Unlicense" ]

2

2019-10-01T08:47:35.000Z

2020-07-11T06:32:16.000Z

/usr/lib/python3.6/encodings/utf_16_le.py

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0.829268

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0

null

0

1

0

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0d8e3f96ed5f8aea634bc1fca96fea88abd73ba3

447

py

Python

utils/storage/interface.py

aircache/AirCache

e68f9432928143a9b535cb8de238391232d9796e

[ "Apache-2.0" ]

2

2021-12-20T09:17:06.000Z

2021-12-20T09:18:18.000Z

utils/storage/interface.py

aircache/AirCache

e68f9432928143a9b535cb8de238391232d9796e

[ "Apache-2.0" ]

null

utils/storage/interface.py

aircache/AirCache

e68f9432928143a9b535cb8de238391232d9796e

[ "Apache-2.0" ]

null

class IStorageOption: @staticmethod def config_has_api(request) -> bool: """check if the api exists""" pass # Create new redis key @staticmethod def config_load_headers(cache_key, val, exp): """Creates the header object from storage""" pass # Get value of key @staticmethod def config_is_scoped(cache_key, *path): """Retrieves the scope object from storage""" pass

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4

0d953747ef4d58ab2bcd353fe0b43b65ecf77782

792

py

Python

web/app/webapp/tests/postgres_connection_sqlalchemy_flask.py

mwernli/digilog-crawling

487553dd7e1b1c46caf12fba67e369e6f7bcf8c9

[ "Apache-2.0" ]

null

web/app/webapp/tests/postgres_connection_sqlalchemy_flask.py

mwernli/digilog-crawling

487553dd7e1b1c46caf12fba67e369e6f7bcf8c9

[ "Apache-2.0" ]

null

web/app/webapp/tests/postgres_connection_sqlalchemy_flask.py

mwernli/digilog-crawling

487553dd7e1b1c46caf12fba67e369e6f7bcf8c9

[ "Apache-2.0" ]

null

import os # def get_connection_string(db = 'postgres'): # if db = 'postgres': # try: # if bool(int(os.environ['OUTSIDE_NETWORK'])): # host = 'localhost' # port = '5500' # except KeyError: # host = 'digilog-postgres' # port = '5432' # user = 'digilog' # password = 'password' # database = 'digilog' # # connection_string = f'postgresql://{user}:{password}@{host}:{port}/{database}' # # engine = create_engine(connection_string) # # # # result = engine.execute('select * from crawl;') # # print(pd.DataFrame(result)) # #return pd.DataFrame(result) # return connection_string # elif db_table == 'mongodb': # pass

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1

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41

py

Python

pyca/__init__.py

wangzhe3224/pyca

d23b4620277f21ffc58eeb732232e71153e95d4c

[ "MIT" ]

17

2020-05-22T16:40:09.000Z

2022-01-23T10:12:44.000Z

pyca/__init__.py

wangzhe3224/pyca

d23b4620277f21ffc58eeb732232e71153e95d4c

[ "MIT" ]

null

pyca/__init__.py

wangzhe3224/pyca

d23b4620277f21ffc58eeb732232e71153e95d4c

[ "MIT" ]

6

2020-08-16T02:11:32.000Z

2021-09-28T13:39:02.000Z

from pyca import * __version__ = "1.0.0"

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null

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null

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4

0daaafd662350698b832c98bdb82197f5f9927fc

52

py

Python

revibe/sharing/__init__.py

Revibe-Music/core-services

6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2

[ "MIT" ]

2

2022-01-24T23:30:18.000Z

2022-01-26T00:21:22.000Z

revibe/sharing/__init__.py

Revibe-Music/core-services

6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2

[ "MIT" ]

null

revibe/sharing/__init__.py

Revibe-Music/core-services

6b11cf16ad2c35d948f3a5c0e7a161e5b7cfc1b2

[ "MIT" ]

null

""" Created: 16 Mar. 2020 Author: Jordan Prechac """

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null

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0df6d8fb93db26458ee254f6bc6017fd8a14daf6

169

py

Python

module/tracking/plotting.py

benlevyx/covid-tracking

6f4f159278ebcd346e530f0bd736657e6de15e00

[ "MIT" ]

1

2021-04-29T07:45:51.000Z

module/tracking/plotting.py

benlevyx/covid-tracking

6f4f159278ebcd346e530f0bd736657e6de15e00

[ "MIT" ]

3

2021-05-21T15:44:45.000Z

2021-05-21T15:45:27.000Z

module/tracking/plotting.py

benlevyx/covid-tracking

6f4f159278ebcd346e530f0bd736657e6de15e00

[ "MIT" ]

1

2020-07-16T01:41:00.000Z

import matplotlib.pyplot as plt def remove_spines(ax, spines=['left', 'right', 'bottom', 'top']): for spine in spines: ax.spines[spine].set_visible(False)

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4

2185864275a06b55364a4687b25056e3a30530d1

496

py

Python

Some-Examples-of-Simple-Python-Script-master/IP_Checker/get IP Public.py

Aarif1430/Python-Awesome-notes-and-exercises-list

c8ad7f90ebd973025f37d4e79c2f1229a8a2915c

[ "MIT" ]

2

2021-01-13T21:20:57.000Z

2021-08-18T17:53:53.000Z

Some-Examples-of-Simple-Python-Script-master/IP_Checker/get IP Public.py

Aarif1430/Python-Awesome-notes-and-exercises-list

c8ad7f90ebd973025f37d4e79c2f1229a8a2915c

[ "MIT" ]

null

Some-Examples-of-Simple-Python-Script-master/IP_Checker/get IP Public.py

Aarif1430/Python-Awesome-notes-and-exercises-list

c8ad7f90ebd973025f37d4e79c2f1229a8a2915c

[ "MIT" ]

1

2020-11-05T09:56:55.000Z

""" Thanks to: http://stackoverflow.com/a/9481595 ip.42.pl jsonip.com httpbin.org ipify.org """ from urllib2 import urlopen my_ip = urlopen('http://ip.42.pl/raw').read() from json import load from urllib2 import urlopen my_ip = load(urlopen('http://jsonip.com'))['ip'] from json import load from urllib2 import urlopen my_ip = load(urlopen('http://httpbin.org/ip'))['origin'] from json import load from urllib2 import urlopen my_ip = load(urlopen('https://api.ipify.org/?format=json'))['ip']

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null

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1

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4

219404135747f1cb8e62fca2a742e675fc6df365

23

py

Python

message_adapter/version.py

ghrcdaac/cumulus-message-adapter

96a2d3c2916f5575be258ce2041a30d144e9c351

[ "Apache-2.0" ]

null

message_adapter/version.py

ghrcdaac/cumulus-message-adapter

96a2d3c2916f5575be258ce2041a30d144e9c351

[ "Apache-2.0" ]

null

message_adapter/version.py

ghrcdaac/cumulus-message-adapter

96a2d3c2916f5575be258ce2041a30d144e9c351

[ "Apache-2.0" ]

null

__version__ = 'v1.3.0'

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1

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21a435af1d8ff467a1edfba217efc602749bdfef

21,459

py

Python

Scripts/variation_insert.py

windchasersky/SV-Insert

45098d614ce80688b58a6a61a762337ad6fb00b4

[ "Apache-2.0" ]

null

Scripts/variation_insert.py

windchasersky/SV-Insert

45098d614ce80688b58a6a61a762337ad6fb00b4

[ "Apache-2.0" ]

null

Scripts/variation_insert.py

windchasersky/SV-Insert

45098d614ce80688b58a6a61a762337ad6fb00b4

[ "Apache-2.0" ]

null

# coding=utf-8 # 变异种入相关代码 # 串联变异配置文件 1：变异代号 2：变异染色体名称 3：变异位置 4：重复段长度 # 倒位变异配置文件 1：变异代号 2：变异染色体名称 3：变异位置 4：倒位段长度 # 易位变异配置文件 1：变异代号 2：变异染色体名称 3：变异位置1 4：变异位置2 5：易位段长度 6：易位方向（0前面插入后面，1后面插入前面） import math import os import random import time import my_script # 通过变异配置文件为模板链种入串联重复变异 def tandem_repeats_simulate(tandem_repeats_profile_path, num): # 初始化 repeat_time_min = 3 repeat_time_max = 10 random_switch = True # 载入配置信息 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 加载变异配置信息' variation_profile = open(tandem_repeats_profile_path) variation_profile_rows = variation_profile.readlines() variation_profile_row = variation_profile_rows[num] variation_profile.close() variation_profile_data = variation_profile_row.split() tandem_repeats_list = { 'vid': variation_profile_data[0], 'name': variation_profile_data[1], 'position': int(variation_profile_data[2]), 'length': int(variation_profile_data[3]), 'times': random.randint(repeat_time_min, repeat_time_max) } # 种入变异 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 开始' + tandem_repeats_list['vid'] + '变异' template_strand_file_path = '.\\outdata\\GRCh37\\' + tandem_repeats_list['name'] + '.fasta' is_exists = os.path.exists(template_strand_file_path) template_strand = my_script.load_template_strand(template_strand_file_path) # 载入模板链 if tandem_repeats_list['position'] >= template_strand[0]['seqlen']: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + tandem_repeats_list['vid'] + '变异位点信息有误' return False if is_exists: # 随机化变异参数 if random_switch: random_repeat_length = int( random.normalvariate(tandem_repeats_list['length'], math.sqrt(tandem_repeats_list['length']))) tandem_repeats_list['length'] = my_script.medium(50, random_repeat_length, template_strand[0]['seqlen']) random_position = int( random.normalvariate(tandem_repeats_list['position'], math.sqrt(template_strand[0]['seqlen']))) tandem_repeats_list['position'] = my_script.medium(tandem_repeats_list['length'], random_position, template_strand[0]['seqlen']) # 计算变异参数 v_segment1 = int(tandem_repeats_list['position'] / template_strand[1]['seqlen']) tandem_repeats_list['position'] = tandem_repeats_list['position'] - v_segment1 * template_strand[1]['seqlen'] v_position2 = tandem_repeats_list['length'] - tandem_repeats_list['position'] # 生成变异链 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 开始' + tandem_repeats_list['vid'] + '变异种入' # 生成重复片段 if v_position2 > 0: # 跨越片段时 v_segment2 = int(v_position2 / template_strand[1]['seqlen']) v_position2 = v_segment2 * template_strand[1]['seqlen'] - v_position2 repeat_seq = template_strand[v_segment1 - v_segment2]['seq'][v_position2:] if v_segment2 >= 1: for i in range(v_segment2 - 1): repeat_seq += template_strand[v_segment1 - v_segment2 + 1 + i]['seq'] repeat_seq += template_strand[v_segment1 + 1]['seq'][:tandem_repeats_list['position']] else: # 未跨越片段时 repeat_seq = template_strand[v_segment1 + 1]['seq'][ tandem_repeats_list['position'] - tandem_repeats_list['length']: tandem_repeats_list['position']] # 生成变异片段 seq_medium = '' for i in range(tandem_repeats_list['times']): seq_medium += repeat_seq seq_left = template_strand[v_segment1 + 1]['seq'][:tandem_repeats_list['position']] seq_right = template_strand[v_segment1 + 1]['seq'][tandem_repeats_list['position']:] variation_seq = seq_left + seq_medium + seq_right # 更新列表信息 variation_seq_dict = { 'id': v_segment1 + 1, 'seqlen': int(template_strand[v_segment1 + 1]['seqlen']) + (tandem_repeats_list['length'] * tandem_repeats_list['times']), 'seq': variation_seq } template_strand[v_segment1 + 1] = variation_seq_dict variation_message_dict = { 'name': tandem_repeats_list['vid'], 'info': 'chroname:' + tandem_repeats_list['name'] + ' ' + 'vposition:' + str(tandem_repeats_list['position']) + ' ' + 'vlength:' + str(tandem_repeats_list['length']) + ' ' + 'vtimes:' + str(tandem_repeats_list['times']), 'seqlen': int(template_strand[0]['seqlen']) + tandem_repeats_list['length'] * tandem_repeats_list['times'], } template_strand[0] = variation_message_dict print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + tandem_repeats_list['vid'] + '变异完成' return template_strand else: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + tandem_repeats_list['vid'] + '变异未匹配到相关文件' return False # 通过变异配置文件为模板链种入倒位变异 def inversion_simulate(inversion_profile_path, num): # 初始化 random_switch = True # 载入配置信息 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 加载变异配置信息' variation_profile = open(inversion_profile_path) variation_profile_rows = variation_profile.readlines() variation_profile_row = variation_profile_rows[num] variation_profile.close() variation_profile_data = variation_profile_row.split() inversion_list = { 'vid': variation_profile_data[0], 'name': variation_profile_data[1], 'position': int(variation_profile_data[2]), 'length': int(variation_profile_data[3]), } # 种入变异 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 开始' + inversion_list['vid'] + '变异' template_strand_file_path = '.\\outdata\\GRCh37\\' + inversion_list['name'] + '.fasta' is_exists = os.path.exists(template_strand_file_path) template_strand = my_script.load_template_strand(template_strand_file_path) # 载入模板链 if inversion_list['position'] >= template_strand[0]['seqlen']: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + inversion_list['vid'] + '变异位点信息有误' return False if is_exists: # 随机化变异参数 if random_switch: random_repeat_length = int( random.normalvariate(inversion_list['length'], math.sqrt(inversion_list['length']))) inversion_list['length'] = my_script.medium(50, random_repeat_length, template_strand[0]['seqlen']) random_position = int( random.normalvariate(inversion_list['position'], math.sqrt(template_strand[0]['seqlen']))) inversion_list['position'] = my_script.medium(inversion_list['length'], random_position, template_strand[0]['seqlen']) # 计算变异参数 v_segment1 = int(inversion_list['position'] / template_strand[1]['seqlen']) inversion_list['position'] = inversion_list['position'] - v_segment1 * template_strand[1]['seqlen'] v_position2 = inversion_list['length'] - inversion_list['position'] # 生成变异链 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 开始' + inversion_list['vid'] + '变异种入' if v_position2 > 0: # 跨越片段时 v_segment2 = int(v_position2 / template_strand[1]['seqlen']) v_position2 = v_segment2 * template_strand[1]['seqlen'] - v_position2 # 前 inversion_seq = template_strand[v_segment1 - v_segment2]['seq'][v_position2:] inversion_seq = inversion_seq[::-1] seq_left = template_strand[v_segment1 - v_segment2]['seq'][:v_position2] variation_seq = seq_left + inversion_seq template_strand[v_segment1 - v_segment2]['seq'] = variation_seq # 中 if v_segment2 >= 1: for i in range(v_segment2 - 1): inversion_seq = template_strand[v_segment1 - v_segment2 + 1 + i]['seq'][::-1] template_strand[v_segment1 - v_segment2 + 1 + i]['seq'] = inversion_seq # 后 inversion_seq = template_strand[v_segment1 + 1]['seq'][:inversion_list['position']] inversion_seq = inversion_seq[::-1] seq_right = template_strand[v_segment1 + 1]['seq'][inversion_list['position']:] variation_seq = inversion_seq + seq_right template_strand[v_segment1 + 1]['seq'] = variation_seq else: # 未跨越片段时 inversion_seq = template_strand[v_segment1 + 1]['seq'][ inversion_list['position'] - inversion_list['length']:inversion_list['position']] inversion_seq = inversion_seq[::-1] seq_left = template_strand[v_segment1 + 1]['seq'][:inversion_list['position'] - inversion_list['length']] seq_right = template_strand[v_segment1 + 1]['seq'][inversion_list['position']:] variation_seq = seq_left + inversion_seq + seq_right template_strand[v_segment1 + 1]['seq'] = variation_seq # 更新列表信息 v_dict = { 'name': inversion_list['vid'], 'info': 'chroname:' + inversion_list['name'] + ' ' + 'vposition:' + str(inversion_list['position'] + v_segment1 * template_strand[1]['seqlen']) + ' ' + 'vlength:' + str(inversion_list['length']), 'seqlen': int(template_strand[0]['seqlen']) } template_strand[0] = v_dict print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + inversion_list['vid'] + '变异完成' return template_strand else: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + inversion_list['vid'] + '变异未匹配到相关文件' return False # 通过变异配置文件为模板链种入易位变异 def translocation_simulate(translocation_profile_path, num): # 初始化 min_distance = 50 random_switch = True # 载入配置信息 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 加载变异配置信息' variation_profile = open(translocation_profile_path) variation_profile_rows = variation_profile.readlines() variation_profile_row = variation_profile_rows[num] variation_profile.close() variation_profile_data = variation_profile_row.split() translocation_list = { 'vid': variation_profile_data[0], 'name': variation_profile_data[1], 'position1': int(variation_profile_data[2]), 'position2': int(variation_profile_data[3]), 'length': int(variation_profile_data[4]), 'direction': int(variation_profile_data[5]) } # 种入变异 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 开始' + translocation_list['vid'] + '变异' template_strand_file_path = '.\\outdata\\GRCh37\\' + translocation_list['name'] + '.fasta' is_exists = os.path.exists(template_strand_file_path) template_strand = my_script.load_template_strand(template_strand_file_path) # 载入模板链 if translocation_list['position1'] >= template_strand[0]['seqlen'] or \ translocation_list['position2'] >= template_strand[0]['seqlen']: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + translocation_list['vid'] + '变异位点信息有误' return False if is_exists: position1 = min(translocation_list['position1'], translocation_list['position2']) position2 = max(translocation_list['position1'], translocation_list['position2']) # 随机化变异参数 if random_switch: while True: random_position1 = int( random.normalvariate(translocation_list['position1'], math.sqrt(template_strand[0]['seqlen']))) random_position1 = my_script.medium(0, random_position1, template_strand[0]['seqlen']) random_position2 = int( random.normalvariate(translocation_list['position2'], math.sqrt(template_strand[0]['seqlen']))) random_position2 = my_script.medium(0, random_position2, template_strand[0]['seqlen']) position1 = min(random_position1, random_position2) position2 = max(random_position1, random_position2) if position2 - position1 >= min_distance: break # 计算变异参数 translocation_list['position1'] = position1 translocation_list['position2'] = position2 distance = translocation_list['position2'] - translocation_list['position1'] random_repeat_length = int( random.normalvariate(translocation_list['length'], math.sqrt(translocation_list['length']))) translocation_list['length'] = my_script.medium(min_distance, random_repeat_length, distance) v_segment1 = int(translocation_list['position1'] / template_strand[1]['seqlen']) v_segment2 = int(translocation_list['position2'] / template_strand[1]['seqlen']) translocation_list['position1'] = translocation_list['position1'] - v_segment1 * template_strand[1]['seqlen'] translocation_list['position2'] = translocation_list['position2'] - v_segment2 * template_strand[1]['seqlen'] if translocation_list['direction'] == 0: v_position2 = translocation_list['length'] + translocation_list['position1'] - template_strand[1]['seqlen'] v_segment_2 = int(v_position2 / template_strand[1]['seqlen']) elif translocation_list['direction'] == 1: v_position2 = translocation_list['length'] - translocation_list['position2'] v_segment_2 = int(v_position2 / template_strand[1]['seqlen']) else: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + translocation_list['vid'] + '易位方向错误' return False # 生成变异链并更新列表信息 print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' 开始' + translocation_list['vid'] + '变异种入' if translocation_list['direction'] == 0: # 前面的片段易位到后面 if v_position2 > 0: # 跨越片段时 v_position2 = v_position2 - v_segment_2 * template_strand[1]['seqlen'] # 前 translocation_seq = template_strand[v_segment1 + 1]['seq'][translocation_list['position1']:] template_strand[v_segment1 + 1]['seq'] = template_strand[v_segment1 + 1]['seq'][ :translocation_list['position1']] template_strand[v_segment1 + 1]['seqlen'] = len(template_strand[v_segment1 + 1]['seq']) # 中 if v_segment_2 >= 1: for i in range(v_segment_2 - 1): translocation_seq += template_strand[v_segment1 + i + 2]['seq'] del template_strand[v_segment1 + i + 2] # 后 translocation_seq += template_strand[v_segment1 + 2]['seq'][:v_position2] # 目标位点插入易位片段 left_seq = template_strand[v_segment2 + 1 - v_segment_2]['seq'][:translocation_list['position2']] right_seq = template_strand[v_segment2 + 1 - v_segment_2]['seq'][translocation_list['position2']:] template_strand[v_segment2 + 1 - v_segment_2]['seq'] = left_seq + translocation_seq + right_seq template_strand[v_segment2 + 1 - v_segment_2]['seqlen'] = len(template_strand[v_segment2 + 1 - v_segment_2]['seq']) template_strand[v_segment1 + 2]['seq'] = template_strand[v_segment1 + 2]['seq'][v_position2:] template_strand[v_segment1 + 2]['seqlen'] = len(template_strand[v_segment1 + 2]['seq']) else: # 未跨越片段时 translocation_seq = template_strand[v_segment1 + 1]['seq'][translocation_list['position1']: translocation_list['position1'] + translocation_list['length']] left_seq = template_strand[v_segment2 + 1]['seq'][:translocation_list['position2']] right_seq = template_strand[v_segment2 + 1]['seq'][translocation_list['position2']:] template_strand[v_segment2 + 1]['seq'] = left_seq + translocation_seq + right_seq template_strand[v_segment2 + 1]['seqlen'] = len(template_strand[v_segment2 + 1]['seq']) left_seq = template_strand[v_segment1 + 1]['seq'][:translocation_list['position1']] right_seq = template_strand[v_segment1 + 1]['seq'][translocation_list['position1'] + translocation_list['length']:] template_strand[v_segment1 + 1]['seq'] = left_seq + right_seq template_strand[v_segment1 + 1]['seqlen'] = len(template_strand[v_segment1 + 1]['seq']) elif translocation_list['direction'] == 1: # 后面的片段易位到前面 if v_position2 > 0: # 跨越片段时 v_position2 = v_position2 - v_segment_2 * template_strand[1]['seqlen'] # 前 translocation_seq = template_strand[v_segment2 - v_segment_2]['seq'][v_position2:] template_strand[v_segment2 - v_segment_2]['seq'] = template_strand[v_segment2 + 1 - v_segment_2][ 'seq'][:v_position2] template_strand[v_segment2 - v_segment_2]['seqlen'] = len( template_strand[v_segment2 + 1 - v_segment_2]['seq']) # 中 if v_segment_2 >= 1: for i in range(v_segment_2 - 1): translocation_seq += template_strand[v_segment2 - v_segment_2 + 1]['seq'] del template_strand[v_segment2 - v_segment_2 + 1] # 后 translocation_seq += template_strand[v_segment2 + 1 - v_segment_2]['seq'][ :translocation_list['position2']] template_strand[v_segment2 + 1 - v_segment_2]['seq'] = template_strand[v_segment1 + 1 - v_segment_2][ 'seq'][translocation_list['position2']:] template_strand[v_segment2 + 1 - v_segment_2]['seqlen'] = len(template_strand[v_segment1 + 1 - v_segment_2]['seq']) # 目标位点插入易位片段 left_seq = template_strand[v_segment1 + 1]['seq'][:translocation_list['position1']] right_seq = template_strand[v_segment1 + 1]['seq'][translocation_list['position1']:] template_strand[v_segment1 + 1]['seq'] = left_seq + translocation_seq + right_seq template_strand[v_segment1 + 1]['seqlen'] = len(template_strand[v_segment2 + 1 - v_segment_2]['seq']) else: # 未跨越片段时 translocation_seq = template_strand[v_segment2 + 1]['seq'][translocation_list['position2'] - translocation_list['length']: translocation_list['position2']] left_seq = template_strand[v_segment2 + 1]['seq'][ :translocation_list['position2'] - translocation_list['length']] right_seq = template_strand[v_segment2 + 1]['seq'][translocation_list['position2']:] template_strand[v_segment2 + 1]['seq'] = left_seq + right_seq template_strand[v_segment2 + 1]['seqlen'] = len(template_strand[v_segment1 + 1]['seq']) left_seq = template_strand[v_segment1 + 1]['seq'][:translocation_list['position1']] right_seq = template_strand[v_segment1 + 1]['seq'][translocation_list['position1']:] template_strand[v_segment1 + 1]['seq'] = left_seq + translocation_seq + right_seq template_strand[v_segment1 + 1]['seqlen'] = len(template_strand[v_segment2 + 1]['seq']) v_dict = { 'name': translocation_list['vid'], 'info': 'chroname:' + translocation_list['name'] + ' ' + 'vposition1:' + str(translocation_list['position1']) + ' ' + 'vposition2:' + str(translocation_list['position2']) + ' ' + 'vlength:' + str(translocation_list['length']) + ' ' + 'vdirection:' + str(translocation_list['direction']), 'seqlen': int(template_strand[0]['seqlen']) } template_strand[0] = v_dict print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + translocation_list['vid'] + '变异完成' return template_strand else: print time.strftime("%m月%d日 %H:%M:%S", time.localtime()) + ' ' + translocation_list['vid'] + '变异未匹配到相关文件' return False

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0.682564

0.650265

0.598536

0

0.025785

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21,459

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62.380814

0.748275

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null

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0

null

0

1

0

null

0

1

0

4

21b4f77340b65b14a443c0245a97cfbd1a979c17

202

py

Python

src/pypdevs/accurate_time.py

MISTCARRYYOU/PythonPDEVS

53cad29832b3c489ab037bdc487affcbf1e3f408

[ "Apache-2.0" ]

1

2018-09-19T14:42:28.000Z

src/pypdevs/accurate_time.py

MISTCARRYYOU/PythonPDEVS

53cad29832b3c489ab037bdc487affcbf1e3f408

[ "Apache-2.0" ]

null

src/pypdevs/accurate_time.py

MISTCARRYYOU/PythonPDEVS

53cad29832b3c489ab037bdc487affcbf1e3f408

[ "Apache-2.0" ]

1

2021-01-14T12:21:35.000Z

import time as python_time import sys def time(): if sys.platform == "win32": return python_time.clock() else: return python_time.time() def sleep(t): python_time.sleep(t)

16.833333

34

0.643564

29

202

4.344828

0.482759

0.31746

0.253968

0

0.013158

0.247525

202

11

35

18.363636

0.815789

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false

0

0.222222

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0.666667

0

1

0

null

1

0

null

0

1

0

4

21d6a97be2a240062624c3925976f57f94172942

528

py

Python

riscemu/IO/IOModule.py

jodalyst/riscemu

cede73c3c93c1d00168aa020dd9d982a213e3572

[ "MIT" ]

9

2021-07-08T11:22:55.000Z

2022-01-30T10:32:48.000Z

riscemu/IO/IOModule.py

jodalyst/riscemu

cede73c3c93c1d00168aa020dd9d982a213e3572

[ "MIT" ]

8

2021-12-03T18:16:19.000Z

2022-03-31T20:49:09.000Z

riscemu/IO/IOModule.py

jodalyst/riscemu

cede73c3c93c1d00168aa020dd9d982a213e3572

[ "MIT" ]

2

2022-01-16T05:50:04.000Z

2022-03-23T21:27:27.000Z

from abc import ABC, abstractmethod class IOModule(ABC): addr: int size: int def __init__(self, addr: int, size: int): self.addr = addr self.size = size @abstractmethod def read(self, addr: int, size: int): pass @abstractmethod def write(self, addr: int, data: bytearray, size: int): pass def contains(self, addr, size: int = 0): return self.addr <= addr < self.addr + self.size and \ self.addr <= addr + size <= self.addr + self.size

22.956522

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0.108197

0.137705

0.118033

0

0.002717

0.30303

528

22

65

24

0.826087

0

0.25

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0.25

false

0.125

0.0625

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null

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null

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1

0

1

0

1

0

4

df2a7eb93398221360a86cb4d9d8689088ee59f1

77

py

Python

python/polar-coordinates.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

21

2015-02-09T18:08:38.000Z

2021-11-08T15:00:48.000Z

python/polar-coordinates.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

7

2020-04-12T23:00:19.000Z

2021-01-30T23:44:24.000Z

python/polar-coordinates.py

gajubadge11/hackerrank-3

132a5019b7ed21507bb95b5063fa66c446b0eff7

[ "MIT" ]

27

2015-07-22T18:08:12.000Z

2022-02-28T19:50:26.000Z

from cmath import phase; c = complex(input()) print(abs(c)) print(phase(c))

12.833333

24

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4.076923

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0.226415

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77

5

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1

0

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null

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10c7b3354a3465f756c9fd4c7a6dad70a29a7e6c

34

py

Python

python/testData/quickFixes/PyRenameElementQuickFixTest/pep8.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/quickFixes/PyRenameElementQuickFixTest/pep8.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/quickFixes/PyRenameElementQuickFixTest/pep8.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

def foo(): A<caret>BC = "test"

17

23

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null

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10cc99fd09e6ebaceb91c3f45a2bb3d31b841444

114

py

Python

shapenet/__init__.py

ss18/shapenet

5a605bee6b2750f3a586ca9a740165e66b5dd7d8

[ "BSD-2-Clause" ]

null

shapenet/__init__.py

ss18/shapenet

5a605bee6b2750f3a586ca9a740165e66b5dd7d8

[ "BSD-2-Clause" ]

null

shapenet/__init__.py

ss18/shapenet

5a605bee6b2750f3a586ca9a740165e66b5dd7d8

[ "BSD-2-Clause" ]

null

__version__ = '0.1.0' from .networks import SingleShapeNetwork from .layer import HomogeneousTransformationLayer

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null

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1

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4

10d365fb463f6592b336de1f892b803c5ca65f1e

926

py

Python

sample/application/example/example/service/contact_service.py

problemfighter/pf-flask

c13a0d13284506cd5543ba596cc1077fe85c1075

[ "Apache-2.0" ]

5

2021-09-14T18:37:01.000Z

2022-01-06T06:44:16.000Z

sample/application/example/example/service/contact_service.py

problemfighter/pf-flask

c13a0d13284506cd5543ba596cc1077fe85c1075

[ "Apache-2.0" ]

null

sample/application/example/example/service/contact_service.py

problemfighter/pf-flask

c13a0d13284506cd5543ba596cc1077fe85c1075

[ "Apache-2.0" ]

null

from example.dto.contact_dto import ContactCreateDto, ContactUpdateDto, ContactDetailsDto from example.model.contact import Contact from pf_sqlalchemy.crud.pfs_rest_helper_service import PfsRestHelperService pfs_rest_helper_service = PfsRestHelperService(Contact) class ContactService: def create(self): return pfs_rest_helper_service.rest_create(ContactCreateDto()) def update(self): return pfs_rest_helper_service.rest_update(ContactUpdateDto()) def details(self, model_id: int): return pfs_rest_helper_service.rest_details(model_id, ContactDetailsDto()) def delete(self, model_id: int): return pfs_rest_helper_service.rest_delete(model_id) def restore(self, model_id: int): return pfs_rest_helper_service.rest_restore(model_id) def list(self): search = [] return pfs_rest_helper_service.rest_list(ContactDetailsDto(), search=search)

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null

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1

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4

10f0bce19800ceaf7f46546370fb1fd715928beb

1,509

py

Python

kobold/compare/hints.py

krieghan/kobold_python

501703c6dcdc2bbcb5649b910d1d8c23b8e113d7

[ "MIT" ]

4

2017-04-28T18:59:58.000Z

2020-01-20T03:15:22.000Z

kobold/compare/hints.py

krieghan/kobold_python

501703c6dcdc2bbcb5649b910d1d8c23b8e113d7

[ "MIT" ]

null

kobold/compare/hints.py

krieghan/kobold_python

501703c6dcdc2bbcb5649b910d1d8c23b8e113d7

[ "MIT" ]

null

import base64 import json import pickle import kobold class ParsingHint(object): '''Tells the comparison function to parse the second argument ("actual") in a specific way to get a simple data-structure''' def __init__(self, payload): '''Rules''' self.payload = payload def parse(self, thing_to_parse): if thing_to_parse is kobold.NotPresent: return kobold.NotPresent result = self.sub_parse(thing_to_parse) return result def sub_parse(self, thing_to_parse): return thing_to_parse class JSONParsingHint(ParsingHint): def sub_parse(self, thing_to_parse): try: return json.loads(thing_to_parse) except (TypeError, json.decoder.JSONDecodeError): raise kobold.InvalidMatch class ObjectDictParsingHint(ParsingHint): def sub_parse(self, thing_to_parse): return thing_to_parse.__dict__ class ObjectAttrParsingHint(ParsingHint): def sub_parse(self, thing_to_parse): attr_dict = {} for (key, value) in self.payload.items(): attr_dict[key] = getattr( thing_to_parse, key, kobold.NotPresent) return attr_dict class Base64Hint(ParsingHint): def sub_parse(self, thing_to_parse): return base64.b64decode(thing_to_parse) class PickleParsingHint(ParsingHint): def sub_parse(self, thing_to_parse): return pickle.loads(thing_to_parse)

24.33871

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null

0

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null

0

1

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1

0

4

800c72b30bae97cec087ff37b61e582f346797e4

123

py

Python

castjeeves/__init__.py

dkauf42/bayota

104ba91746231be10419390a9d7ed8f2593a21bc

[ "BSD-3-Clause" ]

1

2021-07-23T18:09:55.000Z

castjeeves/__init__.py

dkauf42/bayota

104ba91746231be10419390a9d7ed8f2593a21bc

[ "BSD-3-Clause" ]

null

castjeeves/__init__.py

dkauf42/bayota

104ba91746231be10419390a9d7ed8f2593a21bc

[ "BSD-3-Clause" ]

null

__all__ = ['jeeves', 'sourcehooks', 'sqltables'] from . import jeeves from .sourcehooks import * from .sqltables import *

20.5

48

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13

123

6.538462

0.461538

0

0.146341

123

5

49

24.6

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1

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null

0

1

0

1

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4

802f48aec317dee3bb0a3d90558244ec24bf66c0

74

py

Python

init_db_tables.py

kovarus/NvIPAM

6098e48c6becf7370ac1f2862dc4490bd0a71fc8

[ "BSD-3-Clause" ]

3

2019-08-10T00:48:25.000Z

2021-06-02T02:45:09.000Z

init_db_tables.py

kovarus/NvIPAM

6098e48c6becf7370ac1f2862dc4490bd0a71fc8

[ "BSD-3-Clause" ]

7

2019-04-02T15:48:46.000Z

2019-04-02T15:49:20.000Z

init_db_tables.py

kovarus/NvIPAM

6098e48c6becf7370ac1f2862dc4490bd0a71fc8

[ "BSD-3-Clause" ]

2

2019-09-19T19:27:08.000Z

2020-06-18T01:04:35.000Z

''' Using this for refactoring ''' from run import db db.create_all()

7.4

26

0.675676

11

74

4.454545

0.909091

0

0.202703

74

9

27

8.222222

0.830508

0.351351

0

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0

true

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null

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null

0

1

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1

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4

338d5c40d3da1f39e968d9023854336f2902bee8

79

py

Python

src/nlplib/core/control/__init__.py

rectangletangle/nlplib

7dcc0daf050a73c03b7d7f0257ad0b862586a6e3

[ "BSD-2-Clause" ]

1

2015-11-18T12:59:52.000Z

src/nlplib/core/control/__init__.py

rectangletangle/nlplib

7dcc0daf050a73c03b7d7f0257ad0b862586a6e3

[ "BSD-2-Clause" ]

null

src/nlplib/core/control/__init__.py

rectangletangle/nlplib

7dcc0daf050a73c03b7d7f0257ad0b862586a6e3

[ "BSD-2-Clause" ]

null

''' This package contains machine learning algorithms specific to the core. '''

79

0.772152

10

79

6.1

1

0

0.139241

79

1

79

0.897059

0.898734

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

0

1

0

1

0

null

0

1

0

4

33996f65bbfe543d748d345448689ccedb74fd09

268

py

Python

lang/Python/stack-2.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

lang/Python/stack-2.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

lang/Python/stack-2.py

ethansaxenian/RosettaDecode

8ea1a42a5f792280b50193ad47545d14ee371fb7

[ "MIT" ]

null

from collections import deque class Stack: def __init__(self): self._items = deque() def append(self, item): self._items.append(item) def pop(self): return self._items.pop() def __bool__(self): return bool(self._items)

22.333333

32

0.623134

34

268

4.558824

0.441176

0.232258

0

0.268657

268

11

33

24.363636

0.790816

0

1

0.4

false

0

0.1

0.2

0.8

0

null

1

0

null

0

1

0

1

0

4

33ebe9ef284a0c5a8e429f3564cd31557c116eac

94

py

Python

modules/disable_builtin.py

orgrinrt/goost

9dd3cd7f723115939a4590a637c35b05314e6b07

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

323

2020-07-14T09:57:03.000Z

2022-03-26T07:04:03.000Z

modules/disable_builtin.py

orgrinrt/goost

9dd3cd7f723115939a4590a637c35b05314e6b07

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

57

2020-08-21T08:20:47.000Z

2022-03-31T23:46:17.000Z

modules/disable_builtin.py

orgrinrt/goost

9dd3cd7f723115939a4590a637c35b05314e6b07

[ "Apache-2.0", "CC-BY-4.0", "MIT" ]

18

2020-09-07T14:53:24.000Z

2022-02-19T10:41:22.000Z

module_gdscript_transpiler_enabled = "no" module_gif_enabled = "no" module_git_enabled = "no"

23.5

41

0.808511

13

94

5.307692

0.538462

0.391304

0.434783

0

0.095745

94

3

42

31.333333

0.811765

0

0.06383

0

1

0

false

0

1

0

null

1

0

1

0

null

0

4

33f513139591c401733138ab21ab3fac0a6824eb

3,459

py

Python

test/single_byte_test.py

salimm/msgpack-pystream

676158a5a8dd8ff56dca080d597943f67fc4325e

[ "MIT" ]

null

test/single_byte_test.py

salimm/msgpack-pystream

676158a5a8dd8ff56dca080d597943f67fc4325e

[ "MIT" ]

null

test/single_byte_test.py

salimm/msgpack-pystream

676158a5a8dd8ff56dca080d597943f67fc4325e

[ "MIT" ]

null

''' Created on Nov 20, 2017 @author: Salim ''' import unittest import msgpack from _io import BytesIO from msgpackstream.backend.pyc.stream import unpack as unpackc from msgpackstream.backend.python.stream import unpack as unpackp from msgpackstream.defs import EventType, FormatType from ddt import ddt, data @ddt class TestSingleByteTypes(unittest.TestCase): @data(unpackc, unpackp) def test_nil(self, f): bdata = msgpack.packb(None) buff = self.create_instream(bdata) events = [e for e in f(buff)] self.assertEqual(1, len(events)) self.assertEqual(FormatType.NIL.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(None, events[0][2]) @data(unpackc, unpackp) def test_pos_fixint(self,f): # checking min bdata = msgpack.packb(1) buff = self.create_instream(bdata) events = [e for e in f(buff)] print(events) self.assertEqual(1, len(events)) self.assertEqual(FormatType.POS_FIXINT.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(1, events[0][2]) # checking max bdata = msgpack.packb(127) buff = self.create_instream(bdata) events = [e for e in f(buff)] self.assertEqual(1, len(events)) self.assertEqual(FormatType.POS_FIXINT.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(127, events[0][2]) @data(unpackc, unpackp) def test_boolean(self, f): # checking min bdata = msgpack.packb(False) buff = self.create_instream(bdata) events = [e for e in f(buff)] self.assertEqual(1, len(events)) self.assertEqual(FormatType.FALSE.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(False, events[0][2]) # checking max bdata = msgpack.packb(True) buff = self.create_instream(bdata) events = [e for e in f(buff)] self.assertEqual(1, len(events)) self.assertEqual(FormatType.TRUE.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(True, events[0][2]) @data(unpackc, unpackp) def test_negfixint(self,f): # checking min bdata = msgpack.packb(-1) buff = self.create_instream(bdata) events = [e for e in f(buff)] self.assertEqual(1, len(events)) self.assertEqual(FormatType.NEG_FIXINT.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(-1, events[0][2]) # checking max bdata = msgpack.packb(-15) buff = self.create_instream(bdata) events = [e for e in f(buff)] self.assertEqual(1, len(events)) self.assertEqual(FormatType.NEG_FIXINT.value.code, events[0][1]) # @UndefinedVariable self.assertEqual(EventType.VALUE, events[0][0]) self.assertEqual(-15, events[0][2]) def create_instream(self, bdata): buff = BytesIO() buff.write(bdata) buff.seek(0) return buff if __name__ == '__main__': unittest.main()

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0

0.026933

0.248627

3,459

100

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0.79723

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false

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