xszheng2020/the_stack_dedup_python_hits_2 · Datasets at Hugging Face

b608402c0e8072771b347f2c3ecc7549b510eb7d

327

py

Python

bchscript/__init__.py

gandrewstone/bchscript

c73a69f259b4cfb71546903c736e4a94fd0680d7

[ "MIT" ]

7

2018-05-31T18:21:37.000Z

2020-07-13T05:20:05.000Z

bchscript/__init__.py

gandrewstone/bchscript

c73a69f259b4cfb71546903c736e4a94fd0680d7

[ "MIT" ]

1

2018-06-19T18:14:48.000Z

bchscript/__init__.py

gandrewstone/bchscript

c73a69f259b4cfb71546903c736e4a94fd0680d7

[ "MIT" ]

4

2018-06-01T00:29:32.000Z

2020-07-13T05:19:30.000Z

from bchscript.bchutil import BCH_TESTNET, BCH_MAINNET, BCH_REGTEST, bitcoinAddress2bin from bchscript.bchscript import compile, script2hex, script2bin, prettyPrint def mode(m): global BCH_ADDRESS_PREFIX BCH_ADDRESS_PREFIX = m # print("setting bch network to '%s'" % BCH_ADDRESS_PREFIX) __all__ = ["bchscript"]

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null

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1

0

2

3733d3e30660680d9a0362cfceee9dfad9c58b74

2,871

py

Python

examples3/sac/visualize_deepmind.py

lgvaz/torchrl

cfff8acaf70d1fec72169162b95ab5ad3547d17a

[ "MIT" ]

5

2018-06-21T14:33:40.000Z

2018-08-18T02:26:03.000Z

examples3/sac/visualize_deepmind.py

lgvaz/reward

cfff8acaf70d1fec72169162b95ab5ad3547d17a

[ "MIT" ]

null

examples3/sac/visualize_deepmind.py

lgvaz/reward

cfff8acaf70d1fec72169162b95ab5ad3547d17a

[ "MIT" ]

2

2018-05-08T03:34:49.000Z

2018-06-22T15:04:17.000Z

import torch, torch.nn as nn, numpy as np import reward as rw, reward.utils as U from dm_control import suite, viewer DEVICE = U.device.get() class PolicyNN(nn.Module): def __init__(self, n_in, n_out, hidden=256, activation=nn.ReLU, logstd_range=(-20, 2)): super().__init__() self.logstd_range = logstd_range layers = [] layers += [nn.Linear(n_in, hidden), activation()] layers += [nn.Linear(hidden, hidden), activation()] self.layers = nn.Sequential(*layers) self.mean = nn.Linear(hidden, n_out) self.mean.weight.data.uniform_(-3e-3, 3e-3) self.mean.bias.data.uniform_(-3e-3, 3e-3) self.log_std = nn.Linear(hidden, n_out) self.log_std.weight.data.uniform_(-3e-3, 3e-3) self.log_std.bias.data.uniform_(-3e-3, 3e-3) def forward(self, x): x = self.layers(x) mean = self.mean(x) log_std = self.log_std(x).clamp(*self.logstd_range) return mean, log_std class Policy: def __init__(self, nn): self.nn = nn def get_dist(self, s): mean, log_std = self.nn(s) return rw.dist.TanhNormal(loc=mean, scale=log_std.exp()) def get_act(self, s=None, dist=None): assert (s is not None and dist is None) or (s is None and dist is not None) dist = dist or self.get_dist(s=s) return dist.rsample() def get_act_pre(self, s=None, dist=None): assert (s is not None and dist is None) or (s is None and dist is not None) dist = dist or self.get_dist(s=s) return dist.rsample_with_pre() def logprob(self, dist, acs): return dist.log_prob(acs).sum(-1, keepdim=True) def logprob_pre(self, dist, acs): return dist.log_prob_pre(acs).sum(-1, keepdim=True) def mean(self, dist): return dist.loc def std(self, dist): return dist.scale def concat_state_shape(s_spec): return (int(np.sum([np.prod(o.shape) for o in s_spec.values()])), ) def concat_state(s): return np.concatenate([o.flatten() for o in s.values()]) def get_act_fn(policy, a_map): def get(tstep): s = S(concat_state(tstep.observation)[None]).to_tensor() return a_map(U.to_np(policy.get_act(s)[0])) return get # env = suite.load(domain_name="cartpole", task_name="three_poles") env = suite.load(domain_name="walker", task_name="run") # Define spaces S = rw.space.Continuous(shape=concat_state_shape(env.observation_spec()), low=-np.inf, high=np.inf) A = rw.space.Continuous(low=env.action_spec().minimum, high=env.action_spec().maximum, shape=env.action_spec().shape) a_map = U.map_range(-1, 1, A.low[0], A.high[0]) pnn = PolicyNN(n_in=S.shape[0], n_out=A.shape[0]).to(DEVICE) policy = Policy(nn=pnn) U.load_model(pnn, path='logs/dm/walker/run-max999-v9-2/models/pnn_checkpoint') get_act = get_act_fn(policy=policy, a_map=a_map) viewer.launch(env, policy=get_act)

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0

null

0

1

0

1

0

2

3752032895f97132483d0cfa4339b37fb1eaf5c4

151

py

Python

3.py

guillesiesta/python_comprehensions

4d2765b29b8165a5fa2488e6a50a49235238c82f

[ "Apache-2.0" ]

null

3.py

guillesiesta/python_comprehensions

4d2765b29b8165a5fa2488e6a50a49235238c82f

[ "Apache-2.0" ]

null

3.py

guillesiesta/python_comprehensions

4d2765b29b8165a5fa2488e6a50a49235238c82f

[ "Apache-2.0" ]

null

hola = True adiosguillermomurielsanchezlafuente = True if (adiosguillermomurielsanchezlafuente and hola): print("ok con nombre muy largo")

21.571429

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14

151

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151

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null

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1

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null

0

2

3756ed66b18a82931a6853bd82ac2dc78630d72b

1,597

py

Python

src/foxdot/sandbox/180823_0948_compo_036.py

Neko250/aisthesis

1d4a2c3070d10596c28b25ea2170523583e7eff0

[ "Apache-2.0" ]

4

2018-06-29T18:39:34.000Z

2021-06-20T16:44:29.000Z

src/foxdot/sandbox/180823_0948_compo_036.py

Neko250/aisthesis

1d4a2c3070d10596c28b25ea2170523583e7eff0

[ "Apache-2.0" ]

null

src/foxdot/sandbox/180823_0948_compo_036.py

Neko250/aisthesis

1d4a2c3070d10596c28b25ea2170523583e7eff0

[ "Apache-2.0" ]

null

Scale.default = Scale.chromatic Root.default = 0 Clock.bpm = 120 var.ch = var(P[1,5,0,3],8) ~p1 >> play('m', amp=.8, dur=PDur(3,8), rate=[1,(1,2)]) ~p2 >> play('-', amp=.5, dur=2, hpf=2000, hpr=linvar([.1,1],16), sample=1).often('stutter', 4, dur=3).every(8, 'sample.offadd', 1) ~p3 >> play('{ ppP[pP][Pp]}', amp=.8, dur=.5, sample=PRand(7), rate=PRand([.5,1,2])) ~p4 >> play('V', amp=.8, dur=1) ~p5 >> play('#', amp=1.2, dur=16, drive=.1, chop=128, formant=1) ~s1 >> glass(var.ch+(0,5,12), amp=1, dur=8, coarse=8) ~s2 >> piano(var.ch+(0,[5,5,3,7],12), amp=1, dur=8, delay=(0,.25,.5)) Group(p1, p2, p3).stop() p4.lpf = linvar([4000,10],[32,0]) p4.stop() s2.stop() ~s3 >> saw(var.ch+PWalk(), amp=PRand([0,.8])[:24], dur=PDur(3,8), scale=Scale.minor, oct=PRand([4,5,6])[:32], drive=.05, room=1, mix=.5).spread() ~s3 >> saw(var.ch+PWalk(), amp=PRand([0,.8])[:20], dur=PDur(5,8), scale=Scale.minor, oct=PRand([4,5,6])[:32], drive=.05, room=1, mix=.5).spread() ~s3 >> saw(var.ch+PWalk(), amp=PRand([0,.8])[:64], dur=.25, scale=Scale.minor, oct=PRand([4,5,6])[:32], drive=.05, room=1, mix=.5).spread() ~p4 >> play('V', amp=.5, dur=1, room=1, lpf=1200).every(7, 'stutter', cycle=16) ~p6 >> play('n', amp=.5, dur=1, delay=.5, room=1, hpf=linvar([2000,4000],16), hpr=.1) s1.oct = 4 s1.formant = 1 ~p3 >> play('{ ppP[pP][Pp]}', amp=.5, dur=.5, sample=PRand(7), rate=PRand([.5,1,2]), room=1, mix=.25) Group(p6, s3).stop() ~s2 >> piano(var.ch+([12,0],[5,5,3,7],[0,12]), amp=1, dur=8, delay=(0,.25,.5), room=1, mix=.5, drive=.05, chop=32, echo=[1,2,1,4]) Group(p3, s1).stop() Clock.clear()

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null

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null

0

1

0

2

375c4db97fae968fedba9552a5d467ff9af0a2d3

1,216

py

Python

statmail/Types.py

birm/StatMail

61e39346a4754f8e9bab1736caf02f4cb1c2c2a5

[ "MIT" ]

null

statmail/Types.py

birm/StatMail

61e39346a4754f8e9bab1736caf02f4cb1c2c2a5

[ "MIT" ]

7

2016-10-18T18:30:47.000Z

2017-01-17T21:28:40.000Z

statmail/Types.py

birm/StatMail

61e39346a4754f8e9bab1736caf02f4cb1c2c2a5

[ "MIT" ]

null

from .SMBase import SMBase """ A collection of builtin server types. """ class Types(SMBase): """A class for keeping track of all types supported.""" # TODO read from files later for types, but for now... supported = ["minimal"] @classmethod def supported(self, stype): """Determine if the type given is supported.""" return stype in self.supported @classmethod def find_template(self, stype): """Find specific templates for types.""" """template format is: for one server with {NAME}, and {description}, {result} for each report item. The returned list is [header, name section, result, footer] in html""" # TODO use files for templates if stype == "minimal": return ["<html>", "{NAME}<br/>", "{description}:{result}<br/>", "</html>"] else: return False @classmethod def find_reporter(self, stype): """Get report items.""" """ should be list of [descrption, test] items""" if stype == "minimal": return [["CPU Usage", "mpstat | awk '$12 ~ /[0-9.]+/ { \ print 100 - $12\"%\" }'"]] else: return False

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null

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1

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2

377f113688c643f861a107b95cf2a20826771ea4

445

py

Python

check_db.py

Yaremenko-R/python_training

f198b898bd9947afd4f71bc01f992909df392a57

[ "Apache-2.0" ]

null

check_db.py

Yaremenko-R/python_training

f198b898bd9947afd4f71bc01f992909df392a57

[ "Apache-2.0" ]

null

check_db.py

Yaremenko-R/python_training

f198b898bd9947afd4f71bc01f992909df392a57

[ "Apache-2.0" ]

null

from fixture.orm import ORMFixture from fixture.db import DbFixture from model.group import Group from model.contact import Contact database = ORMFixture(host="localhost", name="addressbook", user="root", password="") try: l = database.get_contacts_in_group(Group(id="174")) # l = sorted(database.get_groups_contact_added(Contact(id="1")), key=Group.id_or_max) for item in l: print(item) print(len(l)) finally: pass

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379e57a273cd4876cffb73afd2c43311830a75c5

86

py

Python

consent/__init__.py

alekosot/django-consent

545363978e5ef9e404e633f198d94295b5aa384b

[ "MIT" ]

1

2019-09-25T06:37:45.000Z

consent/__init__.py

d0ugal/django-consent

8b72b487ace0a09e59962646ddb63b95796ca55a

[ "MIT" ]

null

consent/__init__.py

d0ugal/django-consent

8b72b487ace0a09e59962646ddb63b95796ca55a

[ "MIT" ]

null

# following PEP 386, versiontools will pick it up __version__ = (0, 2, 0, "final", 0)

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null

0

1

0

null

0

2

37a1dff781641c0f7cb06a0378062d227d3b4139

1,441

py

Python

tests/test_processor.py

manslogic/rasa_core

17c82e6be052fc147caef9a9914d06f79a944687

[ "Apache-2.0" ]

1

2017-12-27T04:07:24.000Z

tests/test_processor.py

jenish-cj/botnlufoodrest

b41aa2c7a1f6e492e10f07e67562b612b5b13a53

[ "Apache-2.0" ]

null

tests/test_processor.py

jenish-cj/botnlufoodrest

b41aa2c7a1f6e492e10f07e67562b612b5b13a53

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from __future__ import unicode_literals from rasa_core.channels import UserMessage from rasa_core.channels.direct import CollectingOutputChannel from rasa_core.featurizers import BinaryFeaturizer from rasa_core.interpreter import RegexInterpreter from rasa_core.channels.console import ConsoleOutputChannel from rasa_core.policies import PolicyTrainer from rasa_core.policies.ensemble import SimplePolicyEnsemble from rasa_core.policies.scoring_policy import ScoringPolicy from rasa_core.processor import MessageProcessor from rasa_core.tracker_store import InMemoryTrackerStore def test_message_processor(default_domain, capsys): story_filename = "data/dsl_stories/stories_defaultdomain.md" ensemble = SimplePolicyEnsemble([ScoringPolicy()]) interpreter = RegexInterpreter() PolicyTrainer(ensemble, default_domain, BinaryFeaturizer()).train( story_filename, max_history=3) tracker_store = InMemoryTrackerStore(default_domain) processor = MessageProcessor(interpreter, ensemble, default_domain, tracker_store) out = CollectingOutputChannel() processor.handle_message(UserMessage("_greet[name=Core]", out)) assert ("default", "hey there Core!") == out.latest_output()

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null

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1

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1

0

2

37ad375b563b64c735e0509a6bc22b77f4aa298e

2,633

py

Python

arse/biclustering/deflation.py

marianotepper/comdet

ca55083fdcd555b3f80586423cbe8a09498993d2

[ "BSD-3-Clause" ]

null

arse/biclustering/deflation.py

marianotepper/comdet

ca55083fdcd555b3f80586423cbe8a09498993d2

[ "BSD-3-Clause" ]

null

arse/biclustering/deflation.py

marianotepper/comdet

ca55083fdcd555b3f80586423cbe8a09498993d2

[ "BSD-3-Clause" ]

null

from __future__ import absolute_import from . import compression from . import utils class DeflationError(RuntimeError): def __init__(self, *args, **kwargs): super(DeflationError, self).__init__(*args, **kwargs) class Deflator(utils.Downdater): def __init__(self, array): super(Deflator, self).__init__(array) @property def compressed_array(self): raise DeflationError('Could not compress the array.') class L1CompressedDeflator(Deflator): def __init__(self, array, n_samples): super(L1CompressedDeflator, self).__init__(array) if n_samples >= array.shape[1]: self._compressor = DummyCompressor(array, n_samples) else: self._compressor = compression.OnlineColumnCompressor(array, n_samples) self._inner_compress() def _inner_compress(self): selection = self._compressor.compress() if selection is None or self.n_samples > selection.size: try: del self._selection del self._compressed_array except AttributeError: pass else: self._selection = selection self._compressed_array = self.array[:, self.selection] @property def compressed_array(self): try: return self._compressed_array except AttributeError: raise DeflationError('Could not compress the array.') @property def selection(self): try: return self._selection except AttributeError: raise DeflationError('Could not compress the array.') @property def n_samples(self): return self._compressor.n_samples def additive_downdate(self, u, v): super(L1CompressedDeflator, self).additive_downdate(u, v) self._compressor.additive_downdate(u, v) self._inner_compress() def remove_columns(self, idx_cols): super(L1CompressedDeflator, self).remove_columns(idx_cols) self._compressor.remove_columns(idx_cols) self._inner_compress() def remove_rows(self, idx_rows): super(L1CompressedDeflator, self).remove_rows(idx_rows) self._compressor.remove_rows(idx_rows) self._inner_compress() class DummyCompressor(object): def __init__(self, array, n_samples): self.n_samples = n_samples def compress(self): return None def additive_downdate(self, u, v): pass def remove_columns(self, idx): pass def remove_rows(self, idx): pass

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0.281428

2,633

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false

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0

null

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null

0

1

0

1

0

2

37b13ac6a482ca464f323ea8e9763e6ccd5bd832

3,646

py

Python

Data Structures/Heap/JesseAndCookies.py

aibenStunner/HackerRank

de223f2b1fa95d1959deef9ce14b39baa61100ba

[ "MIT" ]

2

2020-04-17T02:54:59.000Z

2020-06-08T23:32:12.000Z

Data Structures/Heap/JesseAndCookies.py

aibenStunner/HackerRank

de223f2b1fa95d1959deef9ce14b39baa61100ba

[ "MIT" ]

null

Data Structures/Heap/JesseAndCookies.py

aibenStunner/HackerRank

de223f2b1fa95d1959deef9ce14b39baa61100ba

[ "MIT" ]

1

2021-11-16T14:05:22.000Z

#!/bin/python3 import os import sys class minHeap: def __init__(self): self.items = [] self.size = len(self.items) def getLeftChildIndex(self, parentIndex): return 2 * parentIndex + 1 def getRightChildIndex(self, parentIndex): return 2 * parentIndex + 2 def getParentIndex(self, childIndex): return int((childIndex - 1) / 2) def hasLeftChild(self, index): return self.getLeftChildIndex(index) < self.size def hasRightChild(self, index): return self.getRightChildIndex(index) < self.size def hasParent(self, index): return self.getParentIndex(index) >= 0 def leftChild(self, index): return self.items[self.getLeftChildIndex(index)] def rightChild(self, index): return self.items[self.getRightChildIndex(index)] def parent(self, index): return self.items[self.getParentIndex(index)] def swap(self, indexOne, indexTwo): temp = self.items[indexOne] self.items[indexOne] = self.items[indexTwo] self.items[indexTwo] = temp def pop(self): if self.size == 0: raise Exception("Empty Heap!!") else: item = self.items[0] self.items[0] = self.items[self.size - 1] del(self.items[self.size - 1]) self.size = len(self.items) self.heapifyDown() return item def peek(self): if self.size == 0: raise Exception("Empty Heap!!") else: return self.items[0] def add(self, item): self.items.append(item) self.size = len(self.items) self.heapifyUp() def heapify(self, arr): for elem in arr: self.add(elem) def heapifyUp(self): index = self.size - 1 while (self.hasParent(index) and self.parent(index) > self.items[index]): self.swap(self.getParentIndex(index), index) index = self.getParentIndex(index) def heapifyDown(self): index = 0 while(self.hasLeftChild(index)): smallerChildIndex = self.getLeftChildIndex(index) if(self.hasRightChild(index) and self.rightChild(index) < self.leftChild(index)): smallerChildIndex = self.getRightChildIndex(index) if(self.items[index] < self.items[smallerChildIndex]): break else: self.swap(index, smallerChildIndex) index = smallerChildIndex # # Complete the cookies function below. # def cookies(k, A): qHeap = minHeap() qHeap.heapify(A) count = 0 try: while qHeap.peek() < k: count += 1 a, b = qHeap.pop(), qHeap.pop() newCookie = (1*a)+(2*b) qHeap.add(newCookie) return count except: return -1 if __name__ == '__main__': # fptr = open(os.environ['OUTPUT_PATH'], 'w') nk = input().split() n = int(nk[0]) k = int(nk[1]) A = list(map(int, input().rstrip().split())) result = cookies(k, A) print(result) # fptr.write(str(result) + '\n') # fptr.close() # def cookies(k, A): # from heapq import heappop,heappush,heapify # heapify(A) # fC = 0 # try: # while A[0] < k: # fC+=1 # c1 = heappop(A) # c2 = heappop(A) # newCookie=(1*c1)+(2*c2) # heappush(A,newCookie) # return fC # except: # return -1

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null

0

null

0

1

0

1

0

2

37c68daf5d38e300ea366a9d35adffa55a0cf4c8

261

py

Python

Python3/Exercises/DictionaryMethods/dictionary_methods.py

norbertosanchezdichi/TIL

2e9719ddd288022f53b094a42679e849bdbcc625

[ "MIT" ]

null

Python3/Exercises/DictionaryMethods/dictionary_methods.py

norbertosanchezdichi/TIL

2e9719ddd288022f53b094a42679e849bdbcc625

[ "MIT" ]

null

Python3/Exercises/DictionaryMethods/dictionary_methods.py

norbertosanchezdichi/TIL

2e9719ddd288022f53b094a42679e849bdbcc625

[ "MIT" ]

null

inventory = {'croissant': 19, 'bagel': 4, 'muffin': 8, 'cake': 1} print(f'{inventory =}') stock_list = inventory.copy() print(f'{stock_list =}') stock_list['hot cheetos'] = 25 stock_list.update({'cookie' : 18}) stock_list.pop('cake') print(f'{stock_list =}')

23.727273

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null

1

0

1

0

null

0

2

805ebe18518a4388e308601d10dffab1db81feb4

304

py

Python

tests/file_test_util.py

lyksdu/langmodels

5a49ee523e84513915f6fa747e03e5ef813aec17

[ "MIT" ]

9

2020-01-21T13:34:49.000Z

2022-03-18T02:34:30.000Z

tests/file_test_util.py

lyksdu/langmodels

5a49ee523e84513915f6fa747e03e5ef813aec17

[ "MIT" ]

6

2020-05-02T07:03:26.000Z

2022-03-11T23:48:38.000Z

tests/file_test_util.py

lyksdu/langmodels

5a49ee523e84513915f6fa747e03e5ef813aec17

[ "MIT" ]

3

2019-08-03T00:06:19.000Z

2020-05-07T00:37:19.000Z

from typing import List from unittest.mock import MagicMock def file_mock_with_lines(lines: List[str]): file_mock = MagicMock(spec=['__enter__', '__exit__']) handle1 = file_mock.__enter__.return_value handle1.__iter__.return_value = iter(map(lambda l: l + '\n', lines)) return file_mock

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0

null

0

1

0

null

0

1

0

2

80601f4e57df490107c52562edfb5325419b2d30

624

py

Python

noheavenbot/utils/database_config.py

Molanito13/noheaven-bot

ad126d4601321ecabff9d1d214ce7d3f4e258c3e

[ "MIT" ]

3

2018-10-13T14:05:24.000Z

2018-12-25T21:40:21.000Z

noheavenbot/utils/database_config.py

Molanito13/noheaven-bot

ad126d4601321ecabff9d1d214ce7d3f4e258c3e

[ "MIT" ]

2

2018-10-08T14:33:39.000Z

2020-03-02T18:00:47.000Z

noheavenbot/utils/database_config.py

Molanito13/noheaven-bot

ad126d4601321ecabff9d1d214ce7d3f4e258c3e

[ "MIT" ]

5

2018-10-08T14:18:58.000Z

2020-11-01T17:55:51.000Z

import logging try: from asyncpg import create_pool except ModuleNotFoundError: logging.warning('Database not set up, install asyncpg') from noheavenbot.utils.constants import EnvVariables class Database: @classmethod async def connect(cls): credentials = {'user': EnvVariables.get('DB_USER'), 'password': EnvVariables.get('DB_PASS'), 'database': EnvVariables.get('DB_DATABASE'), 'host': EnvVariables.get('DB_HOST'), 'port': EnvVariables.get('DB_PORT')} return await create_pool(**credentials)

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null

0

1

0

null

0

1

0

2

8070ca9d70fe00ca55a340a59c8f92988b806d9b

1,427

py

Python

style/predict/servable/base.py

imagination-ai/kerem-side-projects-monorepo

3d9da9d57f305ac2d6a03bab3787acfbee7269ee

[ "MIT" ]

null

style/predict/servable/base.py

imagination-ai/kerem-side-projects-monorepo

3d9da9d57f305ac2d6a03bab3787acfbee7269ee

[ "MIT" ]

2

2022-01-20T15:46:39.000Z

2022-02-16T20:51:47.000Z

style/predict/servable/base.py

imagination-ai/kerem-side-projects-monorepo

3d9da9d57f305ac2d6a03bab3787acfbee7269ee

[ "MIT" ]

null

from abc import ABC, abstractmethod import dill class BaseServable(ABC): SCHEMA_SLUG = "schema.json" MODEL_TYPE: str MODEL_VARIANT: str def __init__(self, model): self.model = model @abstractmethod def export(self, path): raise NotImplementedError @abstractmethod def run_inference(self, *args, **kwargs): raise NotImplementedError @classmethod @abstractmethod def load(cls, path): raise NotImplementedError class SklearnBasedClassifierServable(BaseServable): MODEL_VARIANT = "sklearn-classification" def export(self, path): with open(path, "wb") as f: dill.dump(self.model, f) def run_inference(self, texts): prediction = self.model.predict([texts]) print(prediction) return prediction[0] def run_inference_multiclass(self, texts): prob = self.model.predict_proba([texts]).tolist()[0] labels = self.model.classes_ output = sorted(zip(labels, prob), reverse=True, key=lambda e: e[1]) return output @classmethod def load(cls, path): return cls(model=dill.load(open(path, "rb"))) class MockServable(BaseServable): def run_inference(self, texts): return {"Bon jovi": 0.15, "Kerem": 0.55, "Osman": 0.30} @classmethod def load(cls, path): return cls(model=None) def export(self, path): pass

23.393443

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1,427

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1,427

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0.023256

0

null

0

null

0

1

0

1

0

2

8078d7a28563705ea00176138060393918bcd846

219

py

Python

0.1/game/maptest.py

icefoxen/games-drewfe

7606330b89e4ad37e98637e79af2c058b18112d7

[ "MIT" ]

null

0.1/game/maptest.py

icefoxen/games-drewfe

7606330b89e4ad37e98637e79af2c058b18112d7

[ "MIT" ]

null

0.1/game/maptest.py

icefoxen/games-drewfe

7606330b89e4ad37e98637e79af2c058b18112d7

[ "MIT" ]

null

import pygame from pygame.locals import * from map import * a = Map( 'test.map' ) scr = pygame.display.set_mode( (400, 300) ) a.draw( scr, 0, 0, 400, 300 ) pygame.display.flip() #a.printTileset() while True: pass

15.642857

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4.171429

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0.077778

0.178082

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13

44

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0.733333

0.073059

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0.039604

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false

0.111111

0.333333

0

0.333333

0

null

0

null

0

1

0

2

807f6be89f92fe14527544c6ac0f3f6e3bb7e50f

1,066

py

Python

server/src/service/image/i_image_controller_service.py

konrad2508/picgal

7f7822a02145fd2efa697e1c7750af9af680a3da

[ "MIT" ]

4

2021-12-31T10:06:34.000Z

2022-01-16T16:34:50.000Z

server/src/service/image/i_image_controller_service.py

konrad2508/picgal

7f7822a02145fd2efa697e1c7750af9af680a3da

[ "MIT" ]

null

server/src/service/image/i_image_controller_service.py

konrad2508/picgal

7f7822a02145fd2efa697e1c7750af9af680a3da

[ "MIT" ]

null

from abc import ABC, abstractmethod from model.image.data.count_data import CountData from model.image.data.image_data import ImageData from model.image.data.tag_data import TagData from model.image.data.virtual_tag_data import VirtualTagData from model.image.request.image_modification_request import ImageModificationRequest class IImageControllerService(ABC): @abstractmethod def get_infos(self, image_url: str, preview_url: str, sample_url: str, tags: str | None, page: int) -> list[ImageData]: ... @abstractmethod def modify_info(self, image_url: str, preview_url: str, sample_url: str, id: int, modifications: ImageModificationRequest) -> ImageData: ... @abstractmethod def get_infos_count(self, tags: str | None) -> CountData: ... @abstractmethod def get_tags(self) -> list[TagData | VirtualTagData]: ... @abstractmethod def get_image_path(self, id: int) -> str: ... @abstractmethod def get_preview_path(self, id: int) -> str: ... @abstractmethod def get_sample_path(self, id: int) -> str: ...

34.387097

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0.732645

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1,066

5.607407

0.274074

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0.15852

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0.10568

0

0.157599

1,066

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0

null

0

null

0

1

0

1

0

2

80866b9b24652869ee934797eac93607bc5366aa

386

py

Python

cursecreatortests.py

kushtrimh/curse-of-tenebrae

374ca8684debb686a651c216e2be78f449b983de

[ "BSD-2-Clause" ]

null

cursecreatortests.py

kushtrimh/curse-of-tenebrae

374ca8684debb686a651c216e2be78f449b983de

[ "BSD-2-Clause" ]

null

cursecreatortests.py

kushtrimh/curse-of-tenebrae

374ca8684debb686a651c216e2be78f449b983de

[ "BSD-2-Clause" ]

null

import unittest import mock import Tkinter from cursecreator import Application class TestNPCCreator(unittest.TestCase): def setUp(self): root = Tkinter.Tk() self.app = Application(root) def test_attribute_fixer(self): self.assertTrue(self.app.attribute_fixer("health", 0)) self.assertFalse(self.app.attribute_fixer("banana", 0)) if __name__ == "__main__": unittest.main()

24.125

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386

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0.147887

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0.005848

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386

16

58

24.125

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0.153846

false

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0.307692

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0.538462

0

null

0

null

0

1

0

1

0

2

808721236b1e32630e399cfed97544fb1b0949bc

813

py

Python

external/modbus_tk/modbus_tk/__init__.py

iconnect-iot/intel-device-resource-mgt-lib

3be2f7342b6f79836439e9712e2a36939c986760

[ "Apache-2.0" ]

2

2020-03-26T07:23:09.000Z

2020-04-19T14:20:42.000Z

external/modbus_tk/modbus_tk/__init__.py

iconnect-iot/intel-device-resource-mgt-lib

3be2f7342b6f79836439e9712e2a36939c986760

[ "Apache-2.0" ]

1

2020-06-02T04:32:15.000Z

2020-06-02T04:32:34.000Z

external/modbus_tk/modbus_tk/__init__.py

iconnect-iot/intel-device-resource-mgt-lib

3be2f7342b6f79836439e9712e2a36939c986760

[ "Apache-2.0" ]

15

2018-04-06T11:43:38.000Z

2022-02-07T03:25:43.000Z

#!/usr/bin/env python # -*- coding: utf-8 -*- """ Modbus TestKit: Implementation of Modbus protocol in python (C)2009 - Luc Jean - luc.jean@gmail.com (C)2009 - Apidev - http://www.apidev.fr This is distributed under GNU LGPL license, see license.txt Make possible to write modbus TCP and RTU master and slave for testing purpose Modbus TestKit is different from pymodbus which is another implementation of the modbus stack in python contributors: ---------------------------------- * OrangeTux * denisstogl * MELabs * idahogray * riaan.doorduin * tor.sjowall * smachin1000 * GadgetSteve * dhoomakethu * zerox1212 * ffreckle * Matthew West Please let us know if your name is missing! """ VERSION = '0.5.4' import logging LOGGER = logging.getLogger("modbus_tk")

21.394737

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813

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0.792453

0.047445

0

0.030817

0.201722

813

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21.972973

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0.845018

0

0.179487

0

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false

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0.333333

0

0.333333

0

null

0

1

0

null

0

1

0

2

808b93fe478dc64ffdbfa77f3e6535748754649c

1,296

py

Python

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/EGL/MESA/drm_image.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/EGL/MESA/drm_image.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/EGL/MESA/drm_image.py

JE-Chen/je_old_repo

a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5

[ "MIT" ]

null

'''Autogenerated by xml_generate script, do not edit!''' from OpenGL import platform as _p, arrays # Code generation uses this from OpenGL.raw.EGL import _types as _cs # End users want this... from OpenGL.raw.EGL._types import * from OpenGL.raw.EGL import _errors from OpenGL.constant import Constant as _C import ctypes _EXTENSION_NAME = 'EGL_MESA_drm_image' def _f( function ): return _p.createFunction( function,_p.PLATFORM.EGL,'EGL_MESA_drm_image',error_checker=_errors._error_checker) EGL_DRM_BUFFER_FORMAT_ARGB32_MESA=_C('EGL_DRM_BUFFER_FORMAT_ARGB32_MESA',0x31D2) EGL_DRM_BUFFER_FORMAT_MESA=_C('EGL_DRM_BUFFER_FORMAT_MESA',0x31D0) EGL_DRM_BUFFER_MESA=_C('EGL_DRM_BUFFER_MESA',0x31D3) EGL_DRM_BUFFER_STRIDE_MESA=_C('EGL_DRM_BUFFER_STRIDE_MESA',0x31D4) EGL_DRM_BUFFER_USE_MESA=_C('EGL_DRM_BUFFER_USE_MESA',0x31D1) EGL_DRM_BUFFER_USE_SCANOUT_MESA=_C('EGL_DRM_BUFFER_USE_SCANOUT_MESA',0x00000001) EGL_DRM_BUFFER_USE_SHARE_MESA=_C('EGL_DRM_BUFFER_USE_SHARE_MESA',0x00000002) @_f @_p.types(_cs.EGLImageKHR,_cs.EGLDisplay,arrays.GLintArray) def eglCreateDRMImageMESA(dpy,attrib_list):pass @_f @_p.types(_cs.EGLBoolean,_cs.EGLDisplay,_cs.EGLImageKHR,arrays.GLintArray,arrays.GLintArray,arrays.GLintArray) def eglExportDRMImageMESA(dpy,image,name,handle,stride):pass

48

114

0.828704

203

1,296

4.802956

0.330049

0.086154

0.172308

0.078974

0.382564

0.207179

0

0.035176

0.078704

1,296

26

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0.781407

0.07716

0

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1

0

0.191745

0.144454

0

0.042992

0

1

0.136364

false

0.090909

0.272727

0.045455

0.454545

0

null

0

1

0

null

0

1

0

2

809d1a480aa05cc6e8c44d78d1263f97f33db820

312

py

Python

Python/02-Django/01-Try-Django/Challenges/01-Getting-Started/03/mainurls.py

pabhd3/Code-School

5115c1bdc1e99ea667bdc942667342123ae3929a

[ "MIT" ]

null

Python/02-Django/01-Try-Django/Challenges/01-Getting-Started/03/mainurls.py

pabhd3/Code-School

5115c1bdc1e99ea667bdc942667342123ae3929a

[ "MIT" ]

null

Python/02-Django/01-Try-Django/Challenges/01-Getting-Started/03/mainurls.py

pabhd3/Code-School

5115c1bdc1e99ea667bdc942667342123ae3929a

[ "MIT" ]

null

# Python # Django # Try Django # Getting Started (Level 1) # Challenge 03 - Refactor the existing URL Dispatchers from django.conf.urls import url from . import views urlpatterns = [ # TODO: Add a url() object whose regex parameter takes an empty path that # terminates, and goes to views.home ]

24

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0.711538

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5.045455

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0

0.012346

0.221154

312

13

79

24

0.901235

0.695513

0

0.076923

0

1

0

false

0

0.5

0

0.5

0

null

0

null

0

1

0

1

0

2

80b6a675ace70af0f9c0466a40acaf8e75019f1e

179

py

Python

tests/cases/help/see_for_top_level/test_see_for_top_level.py

WilliamMayor/vantage

05cda557cfc27cbf8aaf80a472a023a896e98546

[ "MIT" ]

1

2018-02-21T09:50:53.000Z

tests/cases/help/see_for_top_level/test_see_for_top_level.py

WilliamMayor/vantage

05cda557cfc27cbf8aaf80a472a023a896e98546

[ "MIT" ]

15

2015-04-30T15:19:29.000Z

2021-07-28T14:34:46.000Z

tests/cases/help/see_for_top_level/test_see_for_top_level.py

WilliamMayor/vantage

05cda557cfc27cbf8aaf80a472a023a896e98546

[ "MIT" ]

null

def test_see_for_top_level(result): assert ( "usage: vantage [-a PATH] [-e NAME ...] [-v KEY=[VALUE] ...] [--verbose] [-h] COMMAND..." in result.stdout_ )

29.833333

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0

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179

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0.688889

0

0.2

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0

0.2

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0

1

0

null

0

1

0

null

0

2

80b90025f8cfff3aebe55376e817e68ada7a4f80

3,256

py

Python

models/__init__.py

davmre/sigvisa

91a1f163b8f3a258dfb78d88a07f2a11da41bd04

[ "BSD-3-Clause" ]

null

models/__init__.py

davmre/sigvisa

91a1f163b8f3a258dfb78d88a07f2a11da41bd04

[ "BSD-3-Clause" ]

null

models/__init__.py

davmre/sigvisa

91a1f163b8f3a258dfb78d88a07f2a11da41bd04

[ "BSD-3-Clause" ]

null

import numpy as np import cPickle class Distribution(object): def dim(self): raise NotImplementedError('abstract base class') def predict(self, cond=None): raise NotImplementedError('abstract base class') def sample(self, cond=None, key_prefix=""): raise NotImplementedError('abstract base class') def log_p(self, x, cond=None, key_prefix=""): raise NotImplementedError('abstract base class') def deriv_log_p(self, x, idx=None, cond=None, cond_key=None, cond_idx=None, lp0=None, eps=1e-4, **kwargs): """ Derivative of log P(X = x | cond = cond) with respect to x_idx (if idx is not None) or with respect to cond[cond_key]_{cond_idx} (if those quantities are not None). The default implementation computes a numerical approximation to the derivative: df/dx ~= f(x + eps) """ lp0 = lp0 if lp0 else self.log_p(x=x, cond=cond, **kwargs) if cond_key is None: # we're computing df/dx if idx is None: # assume x is scalar deriv = ( self.log_p(x = x + eps, cond=cond, **kwargs) - lp0 ) / eps else: x[idx] += eps deriv = ( self.log_p(x = x, cond=cond, **kwargs) - lp0 ) / eps x[idx] -= eps else: # we're computing df/dcond[cond_key] if cond_idx is None: cond[cond_key] += eps deriv = ( self.log_p(x = x, cond=cond, **kwargs) - lp0 ) / eps cond[cond_key] -= eps else: cond[cond_key][cond_idx] += eps deriv = ( self.log_p(x = x, cond=cond, **kwargs) - lp0 ) / eps cond[cond_key][cond_idx] -= eps return deriv def dump_to_file(self, fname): with open(fname, 'wb') as f: cPickle.dump(self, f, cPickle.HIGHEST_PROTOCOL) @staticmethod def load_from_file(fname): raise NotImplementedError('abstract base class') def save_to_db(self, dbconn): raise NotImplementedError('abstract base class') @staticmethod def load_from_db(dbconn, return_extra=False): raise NotImplementedError('abstract base class') class TimeSeriesDist(Distribution): def predict(self, n): raise NotImplementedError('abstract base class') def sample(self, n): raise NotImplementedError('abstract base class') class DummyModel(Distribution): def __init__(self, default_value = None, **kwargs): super(DummyModel, self).__init__(**kwargs) self.default_value = default_value if default_value is not None else 0.0 def log_p(self, x, **kwargs): return 0.0 def sample(self, **kwargs): return self.default_value def predict(self, **kwargs): return self.default_value class Constraint(DummyModel): def __init__(self, a=0, b=0, **kwargs): super(Constraint, self).__init__(**kwargs) self.a=a self.b=b def log_p(self, x, **kwargs): if self.a is not None and x < self.a: return -np.inf if self.b is not None and x > self.b: return -np.inf return 0.0

28.313043

110

0.585381

429

3,256

4.305361

0.202797

0.047645

0.155929

0.17542

0.464537

0.416892

0.239848

0.214402

0.142934

0

0.007968

0.306204

3,256

114

111

28.561404

0.80965

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0

1

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0

0.029851

0.044776

0.447761

0

null

0

1

0

null

0

1

0

2

80c8767c767968d7e7fa23b2ecf6dcc08bf852f7

3,884

py

Python

semana4/app.py

ArseniumGX/bluemer-modulo2

24e5071b734de362dc47ef9d402c191699d15b43

[ "MIT" ]

null

semana4/app.py

ArseniumGX/bluemer-modulo2

24e5071b734de362dc47ef9d402c191699d15b43

[ "MIT" ]

null

semana4/app.py

ArseniumGX/bluemer-modulo2

24e5071b734de362dc47ef9d402c191699d15b43

[ "MIT" ]

null

from werkzeug.security import generate_password_hash, check_password_hash from flask import Flask, render_template, jsonify, request, redirect, flash, url_for from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager, UserMixin, current_user, login_required, logout_user, login_user app = Flask(__name__) app.config['SQLALCHEMY_DATABASE_URI'] = 'postgresql://user:password@localhost:3009/blue_modulo3' app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True app.config['SECRET_KEY'] = b'_5#y2L"F4Q8z\n\xec]/' db = SQLAlchemy(app) login = LoginManager(app) ######################################################################## class Projeto(db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) name = db.Column(db.String(25), nullable=False) description = db.Column(db.String(85)) image = db.Column(db.String) link = db.Column(db.String, nullable=False) last_login = db.Column(db.Date) def __init__(self, name, description, image, link) -> None: super().__init__() self.name = name self.description = description self.image = image self.link = link ######################################################################## ######################################################################## class Admin(UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True, autoincrement=True) name = db.Column(db.String(50), nullable=False) username = db.Column(db.String(25), nullable=False) password = db.Column(db.String(103), nullable=False) last_login = db.Column(db.Date, nullable=True) def __init__(self, name, username, password) -> None: super().__init__() self.name = name self.username = username self.password = password self.last_login = None def set_password(self, pwd): self.password = generate_password_hash(pwd) def check_password(self, pwd): return check_password_hash(self.password, pwd) def set_date(self): from datetime import date self.last_login = date.today() ######################################################################## @login.user_loader def load_user(id): return Admin.query.get(int(id)) ######################################################################## @app.route('/') def index(): return render_template('index.html') @app.route('/signup', methods=['POST']) def signup(): if request.method == 'POST': admin = Admin( request.json['name'], request.json['username'], request.json['password'] ) admin.set_password(request.json['password']) db.session.add(admin) db.session.commit() return jsonify({'Message': 'Administrator created!'}), 201 @app.route('/login', methods=['GET', 'POST']) def login(): if current_user.is_authenticated: return redirect(url_for('admin')) if request.method == 'GET': return render_template('login.html') if request.method == 'POST': user = Admin.query.filter_by(username=request.form['username']).first() if user and user.check_password(request.form['password']): login_user(user, remember=True) user.set_date() db.session.commit() return redirect(url_for('admin')) else: flash('Usuário ou senha inválidos!') return redirect(url_for('login')) @app.route('/admin') @login_required def admin(): return render_template('admin.html') @app.route('/admin/logout') def logout(): logout_user() return redirect(url_for('index')) @app.route('/<slug>') def slug(slug): return render_template('notfound.html', slug=slug), 404 if __name__ == '__main__': # db.drop_all() db.create_all() app.run(debug=True, host='0.0.0.0', port=3000)

32.638655

102

0.598095

450

3,884

4.982222

0.28

0.039251

0.049063

0.049955

0.169492

0.14719

0.100803

0.068689

0

0.010719

0.183316

3,884

119

103

32.638655

0.696091

0.003347

0

0.133333

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0

0.107407

0.030484

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0.133333

false

0.133333

0.055556

0.455556

0

null

0

1

0

null

0

1

0

2

80f13a81a491ee548192c6197ec3cfb3667be23d

65

py

Python

mdstudio/mdstudio/deferred/__init__.py

NLeSC/LIEStudio

03c163b4a2590b4e2204621e1c941c28a9624887

[ "Apache-2.0" ]

10

2017-09-14T07:26:15.000Z

2021-04-01T09:33:03.000Z

mdstudio/mdstudio/deferred/__init__.py

NLeSC/LIEStudio

03c163b4a2590b4e2204621e1c941c28a9624887

[ "Apache-2.0" ]

117

2017-09-13T08:09:48.000Z

2019-10-03T12:19:13.000Z

mdstudio/mdstudio/deferred/__init__.py

NLeSC/LIEStudio

03c163b4a2590b4e2204621e1c941c28a9624887

[ "Apache-2.0" ]

1

2018-09-26T09:40:51.000Z

__all__ = ['chainable', 'make_deferred', "return_value", 'lock']

32.5

64

0.692308

7

65

5.571429

1

0

0.092308

65

1

65

0.661017

0

0.584615

0

1

0

false

0

1

0

null

0

1

0

null

0

2

80f142bd0ab437969db559a95c9f06b07679a259

1,440

py

Python

setup.py

TheMatjaz/RangeForce

906b0e303d2e4eecac75dc4680f7d9b1a86bd79c

[ "BSD-3-Clause" ]

null

setup.py

TheMatjaz/RangeForce

906b0e303d2e4eecac75dc4680f7d9b1a86bd79c

[ "BSD-3-Clause" ]

null

setup.py

TheMatjaz/RangeForce

906b0e303d2e4eecac75dc4680f7d9b1a86bd79c

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- # # Copyright © 2019-2020, Matjaž Guštin <dev@matjaz.it> <https://matjaz.it>. # Released under the BSD 3-Clause License """Package setup for the Rangeforce library.""" from distutils.core import setup # noinspection PyUnresolvedReferences import setuptools setup( name='Rangeforce', version='1.1.0', description='Developer-friendly range checks with user-friendly error ' 'messages', long_description=open('README.md').read(), long_description_content_type='text/markdown', author='Matjaž Guštin', author_email='dev@matjaz.it', url='https://github.com/TheMatjaz/Rangeforce', license='BSD', py_modules=[ 'rangeforce', ], keywords=[ 'range', 'domain', 'limited', 'validation', 'user-input', 'friendly', 'understandable', ], classifiers=[ 'Development Status :: 5 - Production/Stable', 'Intended Audience :: Developers', 'License :: OSI Approved :: BSD License', 'Topic :: Software Development', 'Programming Language :: Python :: 3', 'Programming Language :: Python :: 3.4', 'Programming Language :: Python :: 3.5', 'Programming Language :: Python :: 3.6', 'Programming Language :: Python :: 3.7', 'Programming Language :: Python :: 3.8', ], python_requires='>=3', )

28.235294

75

0.603472

147

1,440

5.870748

0.62585

0.132097

0.173812

0.180765

0

0.024931

0.247917

1,440

50

76

28.8

0.771006

0.163194

0

0.076923

0

0.505863

0

1

0

true

0

0.051282

0

0.051282

0

null

0

1

0

null

0

1

0

2

80fd13c03cdfaa618f595e649dee4f74f7c9f3b9

498

py

Python

genthreads/actor.py

f1sty/genthreads

00e509b7315b7e0107e1c46235ec11e044aeb9ef

[ "MIT" ]

null

genthreads/actor.py

f1sty/genthreads

00e509b7315b7e0107e1c46235ec11e044aeb9ef

[ "MIT" ]

null

genthreads/actor.py

f1sty/genthreads

00e509b7315b7e0107e1c46235ec11e044aeb9ef

[ "MIT" ]

null

from multiprocessing import Process class InboxFullError(Exception): pass class Actor(Process): def __init__(self, inbox_size=48): super(Actor, self).__init__() self._inbox = list() self._inbox_size = inbox_size def send(self, value): if len(self._inbox) < self._inbox_size: self._inbox.append(value) else: raise InboxFullError('no more space in inbox') @property def inbox(self): return self._inbox

21.652174

58

0.628514

59

498

5

0.508475

0.213559

0.132203

0

0.005556

0.277108

498

22

59

22.636364

0.813889

0

0.044177

0

1

0.1875

false

0.0625

0.4375

0

null

1

0

null

0

1

0

2

0384989e82636b5dbefe82692c4b228ca4b5e756

607

py

Python

class4/pm.py

patrebert/pynet_cert

b82cce3ddb20d9e4abc89d74579ddeb3513bdf55

[ "Apache-2.0" ]

null

class4/pm.py

patrebert/pynet_cert

b82cce3ddb20d9e4abc89d74579ddeb3513bdf55

[ "Apache-2.0" ]

null

class4/pm.py

patrebert/pynet_cert

b82cce3ddb20d9e4abc89d74579ddeb3513bdf55

[ "Apache-2.0" ]

null

#!/usr/bin/env python """ Demonstrate use of paramiko to connect to managed device, send commands, get output """ import sys import paramiko from getpass import getpass from time import sleep ip_addr = '184.105.247.70' username = 'pyclass' password = '88newclass' password=getpass() sess=paramiko.SSHClient() sess.set_missing_host_key_policy(paramiko.AutoAddPolicy()) sess.connect(ip_addr,username=username,password=password, look_for_keys=False, allow_agent=False) rc = sess.invoke_shell() outp = rc.recv(5000) print outp rc.send("show ip int brief\n") sleep(1) outp=rc.recv(5000) print outp sys.exit()

22.481481

58

0.775947

94

607

4.904255

0.62766

0.039046

0.043384

0.060738

0.099783

0

0.040516

0.105437

607

26

59

23.346154

0.808471

0.032949

0

0.2

0

0.10101

0

null

0.2

null

0.1

0

null

0

null

0

1

0

1

0

2

03b414db96d625b3d6c44cb1055d545e44f688f9

1,332

py

Python

my_web_project/authentication/forms.py

AlexYankoff/my_web_project

d7d2c26289c561bc39d713ad5a1adff7a01b6508

[ "MIT" ]

null

my_web_project/authentication/forms.py

AlexYankoff/my_web_project

d7d2c26289c561bc39d713ad5a1adff7a01b6508

[ "MIT" ]

null

my_web_project/authentication/forms.py

AlexYankoff/my_web_project

d7d2c26289c561bc39d713ad5a1adff7a01b6508

[ "MIT" ]

null

from django import forms from django.contrib.auth import authenticate from django.contrib.auth.forms import UserCreationForm from django.contrib.auth.models import User from django.core.exceptions import ValidationError from my_web_project.common.forms import BootstrapFormMixin from my_web_project.main.models import Student, Teacher class StudentForm(BootstrapFormMixin,forms.ModelForm): class Meta: model = Student # fields = '__all__' exclude = ('user','is_complete') class TeacherForm(BootstrapFormMixin,forms.ModelForm): class Meta: model = Teacher exclude = ('user', 'is_complete') class LoginForm(BootstrapFormMixin,forms.Form): user = None username = forms.CharField(max_length=30, ) password = forms.CharField( max_length=15, widget=forms.PasswordInput(), ) def clean(self): self.user = authenticate( username=self.cleaned_data['username'], password=self.cleaned_data['password'], ) if not self.user: raise ValidationError('Incorrect username and/or passworord ') def save(self): return self.user class MyUserCreationForm(BootstrapFormMixin,UserCreationForm): pass # class Meta: # model = User # fields = ("username","is_staff",)

25.132075

74

0.686186

143

1,332

6.286713

0.426573

0.055617

0.05673

0.070078

0.160178

0.102336

0

0.003861

0.222222

1,332

52

75

25.615385

0.8639

0.070571

0

0.121212

0

0.06737

0

1

0.060606

false

0.151515

0.212121

0.030303

0.575758

0

null

0

null

0

1

0

1

0

2

03b7252c4a570f5045354d6d3a9bb828ebea09f4

3,340

py

Python

source_code/ghc2018.py

nuno-chicoria/GHC_2018

d3a19c4f6293dd24ca06d24fdde58da04800781b

[ "Unlicense" ]

null

source_code/ghc2018.py

nuno-chicoria/GHC_2018

d3a19c4f6293dd24ca06d24fdde58da04800781b

[ "Unlicense" ]

null

source_code/ghc2018.py

nuno-chicoria/GHC_2018

d3a19c4f6293dd24ca06d24fdde58da04800781b

[ "Unlicense" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Mar 1 18:44:04 2018 @author: JavaWizards """ import numpy as np file = "/Users/nuno_chicoria/Downloads/b_should_be_easy.in" handle = open(file) R, C, F, N, B, T = handle.readline().split() rides = [] index = [] for i in range(int(N)): index.append(i) for line in handle: rides.append(line.split()) rides_np = np.asarray(rides) rides_np = np.column_stack([rides_np, index]) rides_np = rides_np.astype(np.int) rides_np = rides_np[rides_np[:,5].argsort()] vehicles = {} for i in range(int(F)): vehicles [i] = ["A", [0, 0], [0, 0], [0, 0], []] for i in range(int(T)): rides_np = rides_np[rides_np[:,5] > i] for item in range(len(vehicles)): if vehicles[item][0] == "A": if rides_np.size != 0: if abs(vehicles[item][1][0] - rides_np[0, 0]) + abs(vehicles[item][1][1] - rides_np[0, 1]) + i >= rides_np[0, 4]: if abs(vehicles[item][1][0] - rides_np[0, 0]) + abs(vehicles[item][1][1] - rides_np[0, 1]) + i + abs(rides_np[0,0] - rides_np[0,2]) + abs(rides_np[0,1] - rides_np[0,3]) <= rides_np[0, 5]: vehicles[item][0] = "C" vehicles[item][2] = [rides_np[0, 0], rides_np[0, 1]] vehicles[item][3] = [rides_np[0, 2], rides_np[0, 3]] vehicles[item][4].append(rides_np[0, 6]) rides_np = np.delete(rides_np, (0), axis=0) else: rides_np = np.delete(rides_np, (0), axis=0) for item in range(len(vehicles)): if vehicles[item][0] == "C": if vehicles[item][1][0] < vehicles[item][2][0]: vehicles[item][1][0] = vehicles[item][1][0] + 1 elif vehicles[item][1][0] > vehicles[item][2][0]: vehicles[item][1][0] = vehicles[item][1][0] - 1 elif vehicles[item][1][0] == vehicles[item][2][0]: if vehicles[item][1][1] < vehicles[item][2][1]: vehicles[item][1][1] = vehicles[item][1][1] + 1 elif vehicles[item][1][1] > vehicles[item][2][1]: vehicles[item][1][1] = vehicles[item][1][1] - 1 else: vehicles[item][0] = "D" for item in range(len(vehicles)): if vehicles[item][0] == "D": if vehicles[item][1][0] < vehicles[item][3][0]: vehicles[item][1][0] += 1 elif vehicles[item][1][0] > vehicles[item][3][0]: vehicles[item][1][0] -= 1 elif vehicles[item][1][0] == vehicles[item][3][0]: if vehicles[item][1][1] < vehicles[item][3][1]: vehicles[item][1][1] += 1 elif vehicles[item][1][1] > vehicles[item][3][1]: vehicles[item][1][1] -= 1 else: vehicles[item][0] = "A" vehicles[item][2] = None vehicles[item][3] = None results = open("ghc2018.txt", "w+") for item in range(len(vehicles)): if len(vehicles[item][4]) !=0: results.write(str(len(vehicles[item][4]))) for ride in vehicles[item][4]: results.write(" ") results.write(str(ride)) results.write("\n") results.close()

38.390805

208

0.498204

483

3,340

3.3706

0.167702

0.36855

0.207617

0.120393

0.590295

0.560811

0.493857

0.4914

0.457002

0

0.0671

0.308383

3,340

86

209

38.837209

0.637662

0.03024

0

0.132353

0

0.022601

0.01548

0

1

0

false

0

0.014706

0

0.014706

0

null

1

0

null

0

2

03c7dfec4bf01608ff9510185092140717400a2f

170

py

Python

zinc/utils/validation.py

PressLabs/zinc

9e1dc852f31f9897e7759962cf0f3e6d42fbe637

[ "Apache-2.0" ]

29

2017-06-29T15:03:49.000Z

2018-01-30T14:07:26.000Z

zinc/utils/validation.py

presslabs/zinc

94146e5203fc93ee0e8bb011a4db0ffcd4b0096e

[ "Apache-2.0" ]

9

2019-01-11T09:07:17.000Z

2022-02-03T12:50:21.000Z

zinc/utils/validation.py

PressLabs/zinc

9e1dc852f31f9897e7759962cf0f3e6d42fbe637

[ "Apache-2.0" ]

1

2020-08-09T18:17:25.000Z

import ipaddress def is_ipv6(ip_addr): try: ipaddress.IPv6Address(ip_addr) return True except ipaddress.AddressValueError: return False

17

39

0.676471

19

170

5.894737

0.736842

0.107143

0

0.016129

0.270588

170

9

40

18.888889

0.887097

0

1

0.142857

false

0

0.142857

0

0.571429

0

1

0

null

0

1

0

null

0

2

03cdffc4aa94129ab097ff69eb0662a8a2afab32

1,026

py

Python

013-Flareon 6 Reloadered/resolve.py

schommi/low-tech

8dc1c823204da9088ff696c5d23d5471eef317e1

[ "MIT" ]

null

013-Flareon 6 Reloadered/resolve.py

schommi/low-tech

8dc1c823204da9088ff696c5d23d5471eef317e1

[ "MIT" ]

null

013-Flareon 6 Reloadered/resolve.py

schommi/low-tech

8dc1c823204da9088ff696c5d23d5471eef317e1

[ "MIT" ]

null

import itertools secret = [ 0x7A, 0x17, 0x08, 0x34, 0x17, 0x31, 0x3B, 0x25, 0x5B, 0x18, 0x2E, 0x3A, 0x15, 0x56, 0x0E, 0x11, 0x3E, 0x0D, 0x11, 0x3B, 0x24, 0x21, 0x31, 0x06, 0x3C, 0x26, 0x7C, 0x3C, 0x0D, 0x24, 0x16, 0x3A, 0x14, 0x79, 0x01, 0x3A, 0x18, 0x5A, 0x58, 0x73, 0x2E, 0x09, 0x00, 0x16, 0x00, 0x49, 0x22, 0x01, 0x40, 0x08, 0x0A, 0x14 ] key = [0 for x in range(13)] def decrypt(): result = "" key_index = 0 for index in range(len(secret)): result += chr(key [key_index] ^ secret[index]) key_index = (key_index + 1) % len (key) return result key[0] = ord ("@") ^ secret[-13] key[1] = ord ("f") ^ secret[-12] key[2] = ord ("l") ^ secret[-11] key[3] = ord ("a") ^ secret[-10] key[4] = ord ("r") ^ secret[-9] key[5] = ord ("e") ^ secret[-8] key[6] = ord ("-") ^ secret[-7] key[7] = ord ("o") ^ secret[-6] key[8] = ord ("n") ^ secret[-5] key[9] = ord (".") ^ secret[-4] key[10] = ord ("c") ^ secret[-3] key[11] = ord ("o") ^ secret[-2] key[12] = ord ("m") ^ secret[-1] dbg = decrypt() print(dbg)

27.72973

97

0.567251

169

1,026

3.420118

0.455621

0.055363

0.044983

0

0.214634

0.20078

1,026

36

98

28.5

0.490244

0

0.012683

0

0.202927

0

1

0.034483

false

0

0.034483

0

0.103448

0.034483

0

null

0

1

0

1

0

null

0

2

03d0163037b3ffb3243f9f7b36c80a6e4a2647ef

1,098

py

Python

py/cidoc_crm_types/entities/e66_formation.py

minorg/cidoc-crm-types

9018bdbf0658e4d28a87bc94543e467be45d8aa5

[ "Apache-2.0" ]

null

py/cidoc_crm_types/entities/e66_formation.py

minorg/cidoc-crm-types

9018bdbf0658e4d28a87bc94543e467be45d8aa5

[ "Apache-2.0" ]

null

py/cidoc_crm_types/entities/e66_formation.py

minorg/cidoc-crm-types

9018bdbf0658e4d28a87bc94543e467be45d8aa5

[ "Apache-2.0" ]

null

from .e63_beginning_of_existence import E63BeginningofExistence from .e7_activity import E7Activity from dataclasses import dataclass @dataclass class E66Formation(E63BeginningofExistence, E7Activity): """ Scope note: This class comprises events that result in the formation of a formal or informal E74 Group of people, such as a club, society, association, corporation or nation. E66 Formation does not include the arbitrary aggregation of people who do not act as a collective. The formation of an instance of E74 Group does not require that the group is populated with members at the time of formation. In order to express the joining of members at the time of formation, the respective activity should be simultaneously an instance of both E66 Formation and E85 Joining. Examples: - the formation of the CIDOC CRM Special Interest Group - the formation of the Soviet Union (Pipes, 1964) - the conspiring of the murderers of Caesar (Irwin, 1935) In First Order Logic: E66(x) ⊃ E7(x) E66(x) ⊃ E63(x) """ TYPE_URI = "http://erlangen-crm.org/current/E66_Formation"

40.666667

393

0.784153

168

1,098

5.089286

0.547619

0.05614

0.065497

0.037427

0.063158

0

0.050054

0.163024

1,098

26

394

42.230769

0.880305

0.740437

0

0.164835

0

1

0

false

0

0.5

0

0.833333

0

null

0

null

0

1

0

1

0

2

03d052fd2d3ee2a1a9e3667dd101b990d188cf77

7,269

py

Python

platform/radio/efr32_multiphy_configurator/pro2_chip_configurator/src/si4440_modem_calc/pro2plusapilist.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

82

2016-06-29T17:24:43.000Z

2021-04-16T06:49:17.000Z

platform/radio/efr32_multiphy_configurator/pro2_chip_configurator/src/si4440_modem_calc/pro2plusapilist.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

6

2022-01-12T18:22:08.000Z

2022-03-25T10:19:27.000Z

platform/radio/efr32_multiphy_configurator/pro2_chip_configurator/src/si4440_modem_calc/pro2plusapilist.py

lmnotran/gecko_sdk

2e82050dc8823c9fe0e8908c1b2666fb83056230

[ "Zlib" ]

56

2016-08-02T10:50:50.000Z

2021-07-19T08:57:34.000Z

''' Created on Apr 4, 2013 @author: sesuskic ''' from .pro2apilist import Pro2ApiList from .trueround import trueround __all__ = ["Pro2PlusApiList"] class Pro2PlusApiList(Pro2ApiList): def _add_seq_cfg(self, modem_calc, api_list): # api_list['SEQ_CFG0'] = (modem_calc.modulator.fields.close_hw_dly_comp) # need API in FW pass def _add_modem_raw_search_api(self, modem_calc, api_list): sch_frzen = modem_calc.demodulator.fields.sch_frzen rawflt_sel = modem_calc.demodulator.fields.rawflt_sel schprd_h = modem_calc.demodulator.fields.schprd_h schprd_low = modem_calc.demodulator.fields.schprd_low api_list['MODEM_RAW_SEARCH2'] = sch_frzen * 2 ** 7 + rawflt_sel * 2**6 + schprd_h * 2 ** 3 + schprd_low def _add_chflt_rx_apis(self, modem_calc, api_list): super(Pro2PlusApiList, self)._add_chflt_rx_apis(modem_calc, api_list) spike_rm_en = modem_calc.demodulator.fields.spike_rm_en spike_det_thd = modem_calc.demodulator.fields.spike_det_thd api_list['MODEM_SPIKE_DET'] = int(trueround(spike_rm_en*2**7 + spike_det_thd)) & 0xff arriving_src = modem_calc.demodulator.fields.arriving_src signal_dsa_mode = modem_calc.demodulator.fields.signal_dsa_mode arr_rst_en = modem_calc.demodulator.fields.arr_rst_en est_osr_en = modem_calc.demodulator.fields.est_osr_en arr_toler = modem_calc.demodulator.fields.arr_toler api_list['MODEM_DSA_CTRL1'] = (arriving_src*2**6+signal_dsa_mode *2**5+arr_toler) & 0xff # jira-1652: put arr_q_sync_en back into rev-c2 arr_q_sync_en = modem_calc.demodulator.fields.arr_q_sync_en if modem_calc.revc0_c1: arr_q_pm_en = modem_calc.demodulator.fields.arr_q_pm_en skip_pm_det = modem_calc.demodulator.fields.skip_pm_det else: rx_pream_src = modem_calc.demodulator.fields.rx_pream_src bcr_sw_sycw = modem_calc.demodulator.fields.bcr_sw_sycw arrival_thd = modem_calc.demodulator.fields.arrival_thd if modem_calc.revc0_c1: api_list['MODEM_DSA_CTRL2'] = (arr_q_pm_en*2**7+arr_q_sync_en*2**6+bcr_sw_sycw*2**5+skip_pm_det*2**4+arrival_thd) & 0xff else: api_list['MODEM_DSA_CTRL2'] = (arr_q_sync_en*2**6 + bcr_sw_sycw*2**5 + arrival_thd) & 0xff api_list['MODEM_ONE_SHOT_AFC'] = ((modem_calc.demodulator.fields.oneshot_afc*2**7 + modem_calc.demodulator.fields.bcr_align_en*2**6 + modem_calc.demodulator.fields.est_osr_en*2**5 + modem_calc.demodulator.fields.afcma_en*2**4 + modem_calc.demodulator.fields.oneshot_waitcnt) & 0xff) api_list['MODEM_DSA_QUAL'] = (int(modem_calc.demodulator.fields.eye_qua_sel*2**7 + modem_calc.demodulator.fields.arr_eye_qual) & 0xff) api_list['MODEM_DSA_RSSI'] =(modem_calc.demodulator.fields.arr_squelch*2**7 + modem_calc.demodulator.fields.rssi_arr_thd) api_list['MODEM_DECIMATION_CFG2'] = ((modem_calc.demodulator.fields.ndec3*32 + modem_calc.demodulator.fields.ndec2gain*8 + modem_calc.demodulator.fields.ndec2agc*4) & 0xff) # jira-1651: set IFPKD-TH for ETSI modes if modem_calc.revc0_c1 == False: api_list['MODEM_IFPKD_THRESHOLDS'] = modem_calc.demodulator.fields.ifpkd_th; api_list['MODEM_RSSI_MUTE'] = (modem_calc.demodulator.fields.mute_rssi_sel*2**3 + modem_calc.demodulator.fields.mute_rssi_cnt) api_list['MODEM_DSA_MISC'] = (modem_calc.demodulator.fields.eyexest_en*2**6 + modem_calc.demodulator.fields.eyexest_fast*2**5 + modem_calc.demodulator.fields.low_duty) if modem_calc.revc0_c1 == False: api_list['PREAMBLE_CONFIG'] = rx_pream_src*2**7 + 0x21 # DSA RX hopping for super low data rate if(modem_calc.demodulator.fields.rx_hopping_en ==1): api_list['MODEM_DSM_CTRL'] = 0x13 api_list['RX_HOP_CONTROL'] = 0x10 api_list['RX_HOP_TABLE_SIZE'] = modem_calc.demodulator.fields.fh_ch_number+1 #'SET_PROPERTY' 'RX_HOP_TABLE_ENTRY_0' 05 table_entry = 0 while table_entry <= modem_calc.demodulator.fields.fh_ch_number: hop_table = "RX_HOP_TABLE_ENTRY_" + str(table_entry) api_list[hop_table] = table_entry table_entry = table_entry + 1 def _add_ook_blopk(self, modem_calc, api_list): api_list['MODEM_OOK_BLOPK'] = modem_calc.demodulator.fields.bw_peak def _add_rssi_group(self, modem_calc, api_list): # api_list['MODEM_RSSI_THRESH'] = 0 # default, not touched by calc api_list['MODEM_RSSI_JUMP_THRESH'] = modem_calc.demodulator.fields.rssijmpthd # self._api_list['MODEM_RSSI_CONTROL'] = 1 # default: latch at pmdet api_list['MODEM_RSSI_CONTROL'] = (modem_calc.demodulator.fields.rssi_sel*8 + 1) api_list['MODEM_RSSI_CONTROL2'] = (modem_calc.demodulator.fields.rssijmp_dwn*32 + modem_calc.demodulator.fields.rssijmp_up*16 + modem_calc.demodulator.fields.enrssijmp*8 + modem_calc.demodulator.fields.jmpdlylen*4 + modem_calc.demodulator.fields.enjmprx*2) def _add_modem_if_control(self, api_list, modem_calc): super(Pro2PlusApiList, self)._add_modem_if_control(api_list, modem_calc) api_list['MODEM_IF_CONTROL'] += int(modem_calc.inputs.API_ETSI % 3) # if 3, write 0 # jira 1658: add 3 fields into OOK_MISC def _add_modem_ook_misc(self, api_list, modem_calc): fast_ma = modem_calc.demodulator.fields.fast_ma detector = modem_calc.demodulator.fields.detector api_list['MODEM_OOK_MISC'] = int(fast_ma*128 + modem_calc.demodulator.fields.ook_limit_discharge*32 + modem_calc.demodulator.fields.ook_squelch_en*16 + modem_calc.demodulator.fields.ook_discharge_div*4 + detector) def _add_modem_bcr_misc0(self, api_list, modem_calc): if modem_calc.revc0_c1 == False: # only write BCR_MISC0 in revC2 # api_list['MODEM_BCR_MISC0'] = int(adcwatch*128 + adcrst*64 + distogg*32 + ph0size*16) # DSA_BCR_RST == diff0rst_en api_list['MODEM_BCR_MISC0'] = int( modem_calc.demodulator.fields.res_lockup_byp*8 + modem_calc.demodulator.fields.diff0rst_en) def __init__(self): super(Pro2PlusApiList, self).__init__()

57.23622

138

0.618104

932

7,269

4.412017

0.2103

0.15321

0.257782

0.335117

0.454523

0.191391

0.116488

0.041342

0.011187

0

0.030757

0.2933

7,269

126

139

57.690476

0.76971

0.086945

0

0.076923

0

0.061687

0.009828

0

0.006048

0

1

0.098901

false

0.010989

0.021978

0

0.131868

0

null

0

1

0

null

0

2

03e1aa08a772e435ec4bfa6b688a45a8f113fb37

25,849

py

Python

lookerapi/models/query.py

jcarah/python_sdk

3bff34d04a828c940c3f93055e10b6a0095c2327

[ "MIT" ]

null

lookerapi/models/query.py

jcarah/python_sdk

3bff34d04a828c940c3f93055e10b6a0095c2327

[ "MIT" ]

null

lookerapi/models/query.py

jcarah/python_sdk

3bff34d04a828c940c3f93055e10b6a0095c2327

[ "MIT" ]

null

# coding: utf-8 """ Looker API 3.1 Reference ### Authorization The Looker API uses Looker **API3** credentials for authorization and access control. Looker admins can create API3 credentials on Looker's **Admin/Users** page. Pass API3 credentials to the **/login** endpoint to obtain a temporary access_token. Include that access_token in the Authorization header of Looker API requests. For details, see [Looker API Authorization](https://looker.com/docs/r/api/authorization) ### Client SDKs The Looker API is a RESTful system that should be usable by any programming language capable of making HTTPS requests. Client SDKs for a variety of programming languages can be generated from the Looker API's Swagger JSON metadata to streamline use of the Looker API in your applications. A client SDK for Ruby is available as an example. For more information, see [Looker API Client SDKs](https://looker.com/docs/r/api/client_sdks) ### Try It Out! The 'api-docs' page served by the Looker instance includes 'Try It Out!' buttons for each API method. After logging in with API3 credentials, you can use the \"Try It Out!\" buttons to call the API directly from the documentation page to interactively explore API features and responses. Note! With great power comes great responsibility: The \"Try It Out!\" button makes API calls to your live Looker instance. Be especially careful with destructive API operations such as `delete_user` or similar. There is no \"undo\" for API operations. ### Versioning Future releases of Looker will expand this API release-by-release to securely expose more and more of the core power of Looker to API client applications. API endpoints marked as \"beta\" may receive breaking changes without warning (but we will try to avoid doing that). Stable (non-beta) API endpoints should not receive breaking changes in future releases. For more information, see [Looker API Versioning](https://looker.com/docs/r/api/versioning) This **API 3.1** is in active development. This is where support for new Looker features will appear as non-breaking additions - new functions, new optional parameters on existing functions, or new optional properties in existing types. Additive changes should not impact your existing application code that calls the Looker API. Your existing application code will not be aware of any new Looker API functionality until you choose to upgrade your app to use a newer Looker API client SDK release. The following are a few examples of noteworthy items that have changed between API 3.0 and API 3.1. For more comprehensive coverage of API changes, please see the release notes for your Looker release. ### Examples of new things added in API 3.1: * Dashboard construction APIs * Themes and custom color collections APIs * Create and run SQL_runner queries * Create and run merged results queries * Create and modify dashboard filters * Create and modify password requirements ### Deprecated in API 3.0 The following functions and properties have been deprecated in API 3.0. They continue to exist and work in API 3.0 for the next several Looker releases but they have not been carried forward to API 3.1: * Dashboard Prefetch functions * User access_filter functions * User API 1.0 credentials functions * Space.is_root and Space.is_user_root properties. Use Space.is_shared_root and Space.is_users_root instead. ### Semantic changes in API 3.1: * `all_looks` no longer includes soft-deleted looks, matching `all_dashboards` behavior. You can find soft-deleted looks using `search_looks` with the `deleted` param set to True. * `all_spaces` no longer includes duplicate items * `search_users` no longer accepts Y,y,1,0,N,n for Boolean params, only \"true\" and \"false\". * For greater client and network compatibility, `render_task_results` now returns HTTP status ***202 Accepted*** instead of HTTP status ***102 Processing*** * `all_running_queries` and `kill_query` functions have moved into the `Query` function group. If you have application code which relies on the old behavior of the APIs above, you may continue using the API 3.0 functions in this Looker release. We strongly suggest you update your code to use API 3.1 analogs as soon as possible. OpenAPI spec version: 3.1.0 Contact: support@looker.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class Query(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ def __init__(self, id=None, model=None, view=None, fields=None, pivots=None, fill_fields=None, filters=None, filter_expression=None, sorts=None, limit=None, column_limit=None, total=None, row_total=None, subtotals=None, runtime=None, vis_config=None, filter_config=None, visible_ui_sections=None, slug=None, dynamic_fields=None, client_id=None, share_url=None, expanded_share_url=None, url=None, query_timezone=None, has_table_calculations=None, can=None): """ Query - a model defined in Swagger :param dict swaggerTypes: The key is attribute name and the value is attribute type. :param dict attributeMap: The key is attribute name and the value is json key in definition. """ self.swagger_types = { 'id': 'int', 'model': 'str', 'view': 'str', 'fields': 'list[str]', 'pivots': 'list[str]', 'fill_fields': 'list[str]', 'filters': 'dict(str, str)', 'filter_expression': 'str', 'sorts': 'list[str]', 'limit': 'str', 'column_limit': 'str', 'total': 'bool', 'row_total': 'str', 'subtotals': 'list[str]', 'runtime': 'float', 'vis_config': 'dict(str, str)', 'filter_config': 'dict(str, str)', 'visible_ui_sections': 'str', 'slug': 'str', 'dynamic_fields': 'str', 'client_id': 'str', 'share_url': 'str', 'expanded_share_url': 'str', 'url': 'str', 'query_timezone': 'str', 'has_table_calculations': 'bool', 'can': 'dict(str, bool)' } self.attribute_map = { 'id': 'id', 'model': 'model', 'view': 'view', 'fields': 'fields', 'pivots': 'pivots', 'fill_fields': 'fill_fields', 'filters': 'filters', 'filter_expression': 'filter_expression', 'sorts': 'sorts', 'limit': 'limit', 'column_limit': 'column_limit', 'total': 'total', 'row_total': 'row_total', 'subtotals': 'subtotals', 'runtime': 'runtime', 'vis_config': 'vis_config', 'filter_config': 'filter_config', 'visible_ui_sections': 'visible_ui_sections', 'slug': 'slug', 'dynamic_fields': 'dynamic_fields', 'client_id': 'client_id', 'share_url': 'share_url', 'expanded_share_url': 'expanded_share_url', 'url': 'url', 'query_timezone': 'query_timezone', 'has_table_calculations': 'has_table_calculations', 'can': 'can' } self._id = id self._model = model self._view = view self._fields = fields self._pivots = pivots self._fill_fields = fill_fields self._filters = filters self._filter_expression = filter_expression self._sorts = sorts self._limit = limit self._column_limit = column_limit self._total = total self._row_total = row_total self._subtotals = subtotals self._runtime = runtime self._vis_config = vis_config self._filter_config = filter_config self._visible_ui_sections = visible_ui_sections self._slug = slug self._dynamic_fields = dynamic_fields self._client_id = client_id self._share_url = share_url self._expanded_share_url = expanded_share_url self._url = url self._query_timezone = query_timezone self._has_table_calculations = has_table_calculations self._can = can @property def id(self): """ Gets the id of this Query. Unique Id :return: The id of this Query. :rtype: int """ return self._id @id.setter def id(self, id): """ Sets the id of this Query. Unique Id :param id: The id of this Query. :type: int """ self._id = id @property def model(self): """ Gets the model of this Query. Model :return: The model of this Query. :rtype: str """ return self._model @model.setter def model(self, model): """ Sets the model of this Query. Model :param model: The model of this Query. :type: str """ if model is None: raise ValueError("Invalid value for `model`, must not be `None`") self._model = model @property def view(self): """ Gets the view of this Query. Explore Name :return: The view of this Query. :rtype: str """ return self._view @view.setter def view(self, view): """ Sets the view of this Query. Explore Name :param view: The view of this Query. :type: str """ if view is None: raise ValueError("Invalid value for `view`, must not be `None`") self._view = view @property def fields(self): """ Gets the fields of this Query. Fields :return: The fields of this Query. :rtype: list[str] """ return self._fields @fields.setter def fields(self, fields): """ Sets the fields of this Query. Fields :param fields: The fields of this Query. :type: list[str] """ self._fields = fields @property def pivots(self): """ Gets the pivots of this Query. Pivots :return: The pivots of this Query. :rtype: list[str] """ return self._pivots @pivots.setter def pivots(self, pivots): """ Sets the pivots of this Query. Pivots :param pivots: The pivots of this Query. :type: list[str] """ self._pivots = pivots @property def fill_fields(self): """ Gets the fill_fields of this Query. Fill Fields :return: The fill_fields of this Query. :rtype: list[str] """ return self._fill_fields @fill_fields.setter def fill_fields(self, fill_fields): """ Sets the fill_fields of this Query. Fill Fields :param fill_fields: The fill_fields of this Query. :type: list[str] """ self._fill_fields = fill_fields @property def filters(self): """ Gets the filters of this Query. Filters :return: The filters of this Query. :rtype: dict(str, str) """ return self._filters @filters.setter def filters(self, filters): """ Sets the filters of this Query. Filters :param filters: The filters of this Query. :type: dict(str, str) """ self._filters = filters @property def filter_expression(self): """ Gets the filter_expression of this Query. Filter Expression :return: The filter_expression of this Query. :rtype: str """ return self._filter_expression @filter_expression.setter def filter_expression(self, filter_expression): """ Sets the filter_expression of this Query. Filter Expression :param filter_expression: The filter_expression of this Query. :type: str """ self._filter_expression = filter_expression @property def sorts(self): """ Gets the sorts of this Query. Sorting for the query results. Use the format `[\"view.field\", ...]` to sort on fields in ascending order. Use the format `[\"view.field desc\", ...]` to sort on fields in descending order. Use `[\"__UNSORTED__\"]` (2 underscores before and after) to disable sorting entirely. Empty sorts `[]` will trigger a default sort. :return: The sorts of this Query. :rtype: list[str] """ return self._sorts @sorts.setter def sorts(self, sorts): """ Sets the sorts of this Query. Sorting for the query results. Use the format `[\"view.field\", ...]` to sort on fields in ascending order. Use the format `[\"view.field desc\", ...]` to sort on fields in descending order. Use `[\"__UNSORTED__\"]` (2 underscores before and after) to disable sorting entirely. Empty sorts `[]` will trigger a default sort. :param sorts: The sorts of this Query. :type: list[str] """ self._sorts = sorts @property def limit(self): """ Gets the limit of this Query. Limit :return: The limit of this Query. :rtype: str """ return self._limit @limit.setter def limit(self, limit): """ Sets the limit of this Query. Limit :param limit: The limit of this Query. :type: str """ self._limit = limit @property def column_limit(self): """ Gets the column_limit of this Query. Column Limit :return: The column_limit of this Query. :rtype: str """ return self._column_limit @column_limit.setter def column_limit(self, column_limit): """ Sets the column_limit of this Query. Column Limit :param column_limit: The column_limit of this Query. :type: str """ self._column_limit = column_limit @property def total(self): """ Gets the total of this Query. Total :return: The total of this Query. :rtype: bool """ return self._total @total.setter def total(self, total): """ Sets the total of this Query. Total :param total: The total of this Query. :type: bool """ self._total = total @property def row_total(self): """ Gets the row_total of this Query. Raw Total :return: The row_total of this Query. :rtype: str """ return self._row_total @row_total.setter def row_total(self, row_total): """ Sets the row_total of this Query. Raw Total :param row_total: The row_total of this Query. :type: str """ self._row_total = row_total @property def subtotals(self): """ Gets the subtotals of this Query. Fields on which to run subtotals :return: The subtotals of this Query. :rtype: list[str] """ return self._subtotals @subtotals.setter def subtotals(self, subtotals): """ Sets the subtotals of this Query. Fields on which to run subtotals :param subtotals: The subtotals of this Query. :type: list[str] """ self._subtotals = subtotals @property def runtime(self): """ Gets the runtime of this Query. Runtime :return: The runtime of this Query. :rtype: float """ return self._runtime @runtime.setter def runtime(self, runtime): """ Sets the runtime of this Query. Runtime :param runtime: The runtime of this Query. :type: float """ self._runtime = runtime @property def vis_config(self): """ Gets the vis_config of this Query. Visualization configuration properties. These properties are typically opaque and differ based on the type of visualization used. There is no specified set of allowed keys. The values can be any type supported by JSON. A \"type\" key with a string value is often present, and is used by Looker to determine which visualization to present. Visualizations ignore unknown vis_config properties. :return: The vis_config of this Query. :rtype: dict(str, str) """ return self._vis_config @vis_config.setter def vis_config(self, vis_config): """ Sets the vis_config of this Query. Visualization configuration properties. These properties are typically opaque and differ based on the type of visualization used. There is no specified set of allowed keys. The values can be any type supported by JSON. A \"type\" key with a string value is often present, and is used by Looker to determine which visualization to present. Visualizations ignore unknown vis_config properties. :param vis_config: The vis_config of this Query. :type: dict(str, str) """ self._vis_config = vis_config @property def filter_config(self): """ Gets the filter_config of this Query. The filter_config represents the state of the filter UI on the explore page for a given query. When running a query via the Looker UI, this parameter takes precedence over \"filters\". When creating a query or modifying an existing query, \"filter_config\" should be set to null. Setting it to any other value could cause unexpected filtering behavior. The format should be considered opaque. :return: The filter_config of this Query. :rtype: dict(str, str) """ return self._filter_config @filter_config.setter def filter_config(self, filter_config): """ Sets the filter_config of this Query. The filter_config represents the state of the filter UI on the explore page for a given query. When running a query via the Looker UI, this parameter takes precedence over \"filters\". When creating a query or modifying an existing query, \"filter_config\" should be set to null. Setting it to any other value could cause unexpected filtering behavior. The format should be considered opaque. :param filter_config: The filter_config of this Query. :type: dict(str, str) """ self._filter_config = filter_config @property def visible_ui_sections(self): """ Gets the visible_ui_sections of this Query. Visible UI Sections :return: The visible_ui_sections of this Query. :rtype: str """ return self._visible_ui_sections @visible_ui_sections.setter def visible_ui_sections(self, visible_ui_sections): """ Sets the visible_ui_sections of this Query. Visible UI Sections :param visible_ui_sections: The visible_ui_sections of this Query. :type: str """ self._visible_ui_sections = visible_ui_sections @property def slug(self): """ Gets the slug of this Query. Slug :return: The slug of this Query. :rtype: str """ return self._slug @slug.setter def slug(self, slug): """ Sets the slug of this Query. Slug :param slug: The slug of this Query. :type: str """ self._slug = slug @property def dynamic_fields(self): """ Gets the dynamic_fields of this Query. Dynamic Fields :return: The dynamic_fields of this Query. :rtype: str """ return self._dynamic_fields @dynamic_fields.setter def dynamic_fields(self, dynamic_fields): """ Sets the dynamic_fields of this Query. Dynamic Fields :param dynamic_fields: The dynamic_fields of this Query. :type: str """ self._dynamic_fields = dynamic_fields @property def client_id(self): """ Gets the client_id of this Query. Client Id: used to generate shortened explore URLs. If set by client, must be a unique 22 character alphanumeric string. Otherwise one will be generated. :return: The client_id of this Query. :rtype: str """ return self._client_id @client_id.setter def client_id(self, client_id): """ Sets the client_id of this Query. Client Id: used to generate shortened explore URLs. If set by client, must be a unique 22 character alphanumeric string. Otherwise one will be generated. :param client_id: The client_id of this Query. :type: str """ self._client_id = client_id @property def share_url(self): """ Gets the share_url of this Query. Share Url :return: The share_url of this Query. :rtype: str """ return self._share_url @share_url.setter def share_url(self, share_url): """ Sets the share_url of this Query. Share Url :param share_url: The share_url of this Query. :type: str """ self._share_url = share_url @property def expanded_share_url(self): """ Gets the expanded_share_url of this Query. Expanded Share Url :return: The expanded_share_url of this Query. :rtype: str """ return self._expanded_share_url @expanded_share_url.setter def expanded_share_url(self, expanded_share_url): """ Sets the expanded_share_url of this Query. Expanded Share Url :param expanded_share_url: The expanded_share_url of this Query. :type: str """ self._expanded_share_url = expanded_share_url @property def url(self): """ Gets the url of this Query. Expanded Url :return: The url of this Query. :rtype: str """ return self._url @url.setter def url(self, url): """ Sets the url of this Query. Expanded Url :param url: The url of this Query. :type: str """ self._url = url @property def query_timezone(self): """ Gets the query_timezone of this Query. Query Timezone :return: The query_timezone of this Query. :rtype: str """ return self._query_timezone @query_timezone.setter def query_timezone(self, query_timezone): """ Sets the query_timezone of this Query. Query Timezone :param query_timezone: The query_timezone of this Query. :type: str """ self._query_timezone = query_timezone @property def has_table_calculations(self): """ Gets the has_table_calculations of this Query. Has Table Calculations :return: The has_table_calculations of this Query. :rtype: bool """ return self._has_table_calculations @has_table_calculations.setter def has_table_calculations(self, has_table_calculations): """ Sets the has_table_calculations of this Query. Has Table Calculations :param has_table_calculations: The has_table_calculations of this Query. :type: bool """ self._has_table_calculations = has_table_calculations @property def can(self): """ Gets the can of this Query. Operations the current user is able to perform on this object :return: The can of this Query. :rtype: dict(str, bool) """ return self._can @can.setter def can(self, can): """ Sets the can of this Query. Operations the current user is able to perform on this object :param can: The can of this Query. :type: dict(str, bool) """ self._can = can def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ if not isinstance(other, Query): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

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0

1

0

2

ff0002f28ad3a199bd96b680511c5012fe2c72ff

107

py

Python

src/filtermaker/__init__.py

yukihira1992/filtermaker

0fdd76771ea551ecdfe3328eadec32f59d0f5f8c

[ "MIT" ]

null

src/filtermaker/__init__.py

yukihira1992/filtermaker

0fdd76771ea551ecdfe3328eadec32f59d0f5f8c

[ "MIT" ]

null

src/filtermaker/__init__.py

yukihira1992/filtermaker

0fdd76771ea551ecdfe3328eadec32f59d0f5f8c

[ "MIT" ]

null

from .filters import TextFilter __version__ = '0.0.1' __all__ = ( '__version__', 'TextFilter', )

11.888889

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1

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null

0

1

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null

0

2

ff06a4859edba98a7a88d5622aad9b23c4419609

12,017

py

Python

kafka_proto_api/protos/etf_http_ref_pb2.py

Ycallaer/kafka_proto_py

478f0ac7a95e4c14f4bb2f1deeef60df0c8aa133

[ "MIT" ]

1

2021-03-24T12:43:24.000Z

kafka_proto_api/protos/etf_http_ref_pb2.py

Ycallaer/kafka_proto_py

478f0ac7a95e4c14f4bb2f1deeef60df0c8aa133

[ "MIT" ]

null

kafka_proto_api/protos/etf_http_ref_pb2.py

Ycallaer/kafka_proto_py

478f0ac7a95e4c14f4bb2f1deeef60df0c8aa133

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by the protocol buffer compiler. DO NOT EDIT! # source: etf_http_ref.proto """Generated protocol buffer code.""" from google.protobuf.internal import enum_type_wrapper from google.protobuf import descriptor as _descriptor from google.protobuf import message as _message from google.protobuf import reflection as _reflection from google.protobuf import symbol_database as _symbol_database # @@protoc_insertion_point(imports) _sym_db = _symbol_database.Default() from google.protobuf import descriptor_pb2 as google_dot_protobuf_dot_descriptor__pb2 DESCRIPTOR = _descriptor.FileDescriptor( name='etf_http_ref.proto', package='', syntax='proto3', serialized_options=None, create_key=_descriptor._internal_create_key, serialized_pb=b'\n\x12\x65tf_http_ref.proto\x1a google/protobuf/descriptor.proto\"\xa5\x01\n\x0c\x65tf_http_ref\x12\x0c\n\x04\x64\x61te\x18\x01 \x01(\t\x12\x0c\n\x04open\x18\x02 \x01(\x01\x12\x0c\n\x04high\x18\x03 \x01(\x01\x12\x0b\n\x03low\x18\x04 \x01(\x01\x12\r\n\x05\x63lose\x18\x05 \x01(\x01\x12\x0e\n\x06volume\x18\x06 \x01(\x03\x12\x0f\n\x07openint\x18\x07 \x01(\x03:.\xd8\xed\x1a\x02\xe2\xed\x1a&https://en.wikipedia.org/wiki/ISO_8601*\xae\x01\n\nTermSource\x12\x1b\n\x17TERM_SOURCE_UNSPECIFIED\x10\x00\x12\x13\n\x0fTERM_SOURCE_ONE\x10\x01\x12\x14\n\x10TERM_SOURCE_FIBO\x10\x02\x12\x13\n\x0fTERM_SOURCE_ISO\x10\x03\x12\x18\n\x14TERM_SOURCE_ISO20022\x10\x04\x12\x13\n\x0fTERM_SOURCE_FIX\x10\x05\x12\x14\n\x10TERM_SOURCE_FPML\x10\x06:8\n\rcoding_scheme\x12\x1f.google.protobuf.MessageOptions\x18\xda\xad\x03 \x01(\t:C\n\x0bterm_source\x12\x1f.google.protobuf.MessageOptions\x18\xdb\xad\x03 \x01(\x0e\x32\x0b.TermSource::\n\x0fterm_source_ref\x12\x1f.google.protobuf.MessageOptions\x18\xdc\xad\x03 \x01(\t:8\n\rmsg_term_link\x12\x1f.google.protobuf.MessageOptions\x18\xdd\xad\x03 \x01(\t:6\n\ris_identifier\x12\x1d.google.protobuf.FieldOptions\x18\xc2\xb5\x03 \x01(\x08:8\n\x0f\x65xternal_schema\x12\x1d.google.protobuf.FieldOptions\x18\xc3\xb5\x03 \x01(\t:8\n\x0f\x66ield_term_link\x12\x1d.google.protobuf.FieldOptions\x18\xc4\xb5\x03 \x01(\tb\x06proto3' , dependencies=[google_dot_protobuf_dot_descriptor__pb2.DESCRIPTOR,]) _TERMSOURCE = _descriptor.EnumDescriptor( name='TermSource', full_name='TermSource', filename=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key, values=[ _descriptor.EnumValueDescriptor( name='TERM_SOURCE_UNSPECIFIED', index=0, number=0, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TERM_SOURCE_ONE', index=1, number=1, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TERM_SOURCE_FIBO', index=2, number=2, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TERM_SOURCE_ISO', index=3, number=3, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TERM_SOURCE_ISO20022', index=4, number=4, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TERM_SOURCE_FIX', index=5, number=5, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), _descriptor.EnumValueDescriptor( name='TERM_SOURCE_FPML', index=6, number=6, serialized_options=None, type=None, create_key=_descriptor._internal_create_key), ], containing_type=None, serialized_options=None, serialized_start=225, serialized_end=399, ) _sym_db.RegisterEnumDescriptor(_TERMSOURCE) TermSource = enum_type_wrapper.EnumTypeWrapper(_TERMSOURCE) TERM_SOURCE_UNSPECIFIED = 0 TERM_SOURCE_ONE = 1 TERM_SOURCE_FIBO = 2 TERM_SOURCE_ISO = 3 TERM_SOURCE_ISO20022 = 4 TERM_SOURCE_FIX = 5 TERM_SOURCE_FPML = 6 CODING_SCHEME_FIELD_NUMBER = 55002 coding_scheme = _descriptor.FieldDescriptor( name='coding_scheme', full_name='coding_scheme', index=0, number=55002, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) TERM_SOURCE_FIELD_NUMBER = 55003 term_source = _descriptor.FieldDescriptor( name='term_source', full_name='term_source', index=1, number=55003, type=14, cpp_type=8, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) TERM_SOURCE_REF_FIELD_NUMBER = 55004 term_source_ref = _descriptor.FieldDescriptor( name='term_source_ref', full_name='term_source_ref', index=2, number=55004, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) MSG_TERM_LINK_FIELD_NUMBER = 55005 msg_term_link = _descriptor.FieldDescriptor( name='msg_term_link', full_name='msg_term_link', index=3, number=55005, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) IS_IDENTIFIER_FIELD_NUMBER = 56002 is_identifier = _descriptor.FieldDescriptor( name='is_identifier', full_name='is_identifier', index=4, number=56002, type=8, cpp_type=7, label=1, has_default_value=False, default_value=False, message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) EXTERNAL_SCHEMA_FIELD_NUMBER = 56003 external_schema = _descriptor.FieldDescriptor( name='external_schema', full_name='external_schema', index=5, number=56003, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) FIELD_TERM_LINK_FIELD_NUMBER = 56004 field_term_link = _descriptor.FieldDescriptor( name='field_term_link', full_name='field_term_link', index=6, number=56004, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=True, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key) _ETF_HTTP_REF = _descriptor.Descriptor( name='etf_http_ref', full_name='etf_http_ref', filename=None, file=DESCRIPTOR, containing_type=None, create_key=_descriptor._internal_create_key, fields=[ _descriptor.FieldDescriptor( name='date', full_name='etf_http_ref.date', index=0, number=1, type=9, cpp_type=9, label=1, has_default_value=False, default_value=b"".decode('utf-8'), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='open', full_name='etf_http_ref.open', index=1, number=2, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='high', full_name='etf_http_ref.high', index=2, number=3, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='low', full_name='etf_http_ref.low', index=3, number=4, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='close', full_name='etf_http_ref.close', index=4, number=5, type=1, cpp_type=5, label=1, has_default_value=False, default_value=float(0), message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='volume', full_name='etf_http_ref.volume', index=5, number=6, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), _descriptor.FieldDescriptor( name='openint', full_name='etf_http_ref.openint', index=6, number=7, type=3, cpp_type=2, label=1, has_default_value=False, default_value=0, message_type=None, enum_type=None, containing_type=None, is_extension=False, extension_scope=None, serialized_options=None, file=DESCRIPTOR, create_key=_descriptor._internal_create_key), ], extensions=[ ], nested_types=[], enum_types=[ ], serialized_options=b'\330\355\032\002\342\355\032&https://en.wikipedia.org/wiki/ISO_8601', is_extendable=False, syntax='proto3', extension_ranges=[], oneofs=[ ], serialized_start=57, serialized_end=222, ) DESCRIPTOR.message_types_by_name['etf_http_ref'] = _ETF_HTTP_REF DESCRIPTOR.enum_types_by_name['TermSource'] = _TERMSOURCE DESCRIPTOR.extensions_by_name['coding_scheme'] = coding_scheme DESCRIPTOR.extensions_by_name['term_source'] = term_source DESCRIPTOR.extensions_by_name['term_source_ref'] = term_source_ref DESCRIPTOR.extensions_by_name['msg_term_link'] = msg_term_link DESCRIPTOR.extensions_by_name['is_identifier'] = is_identifier DESCRIPTOR.extensions_by_name['external_schema'] = external_schema DESCRIPTOR.extensions_by_name['field_term_link'] = field_term_link _sym_db.RegisterFileDescriptor(DESCRIPTOR) etf_http_ref = _reflection.GeneratedProtocolMessageType('etf_http_ref', (_message.Message,), { 'DESCRIPTOR' : _ETF_HTTP_REF, '__module__' : 'etf_http_ref_pb2' # @@protoc_insertion_point(class_scope:etf_http_ref) }) _sym_db.RegisterMessage(etf_http_ref) google_dot_protobuf_dot_descriptor__pb2.MessageOptions.RegisterExtension(coding_scheme) term_source.enum_type = _TERMSOURCE google_dot_protobuf_dot_descriptor__pb2.MessageOptions.RegisterExtension(term_source) google_dot_protobuf_dot_descriptor__pb2.MessageOptions.RegisterExtension(term_source_ref) google_dot_protobuf_dot_descriptor__pb2.MessageOptions.RegisterExtension(msg_term_link) google_dot_protobuf_dot_descriptor__pb2.FieldOptions.RegisterExtension(is_identifier) google_dot_protobuf_dot_descriptor__pb2.FieldOptions.RegisterExtension(external_schema) google_dot_protobuf_dot_descriptor__pb2.FieldOptions.RegisterExtension(field_term_link) _ETF_HTTP_REF._options = None # @@protoc_insertion_point(module_scope)

48.651822

1,362

0.785471

1,693

12,017

5.204962

0.125222

0.046301

0.077621

0.073536

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0.462892

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0

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1

0.008889

0.182732

0.075272

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false

0

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0

0.026667

0

null

0

1

0

1

0

null

0

2

ff1d37048cb854203f9a4fa6e024de7bc7ef651a

356

py

Python

exercicios-Python/desaf109/pythonteste.py

marcelo-py/Exercicios-Python

d654d54821983897dbc377a2d3db97671dd75b5b

[ "MIT" ]

null

exercicios-Python/desaf109/pythonteste.py

marcelo-py/Exercicios-Python

d654d54821983897dbc377a2d3db97671dd75b5b

[ "MIT" ]

null

exercicios-Python/desaf109/pythonteste.py

marcelo-py/Exercicios-Python

d654d54821983897dbc377a2d3db97671dd75b5b

[ "MIT" ]

null

from desaf109 import moeda p = float(input('Digite um preço: R$')) print('A metade de {} é {}'.format(moeda.moeda(p), moeda.metade(p, True))) print('O dobro de {} é {}'.format(moeda.moeda(p), moeda.dobro(p, True))) print('Se adcionarmos 10% fica {}'.format(moeda.aumentar(p, 10, True))) print('Se tirarmos 13% fica {}'.format(moeda.diminuir(p, 13, True)))

59.333333

74

0.671348

59

356

4.050847

0.474576

0.1841

0.075314

0.117155

0.209205

0

0.03481

0.11236

356

6

75

59.333333

0.721519

0

0.296919

0

1

0

false

0

0.166667

0

0.166667

0.666667

0

null

0

1

0

null

0

1

0

2

206c60f444384827b5b58347d59f704ffc3951d0

964

py

Python

src/malign/alignment.py

tresoldi/malign

dad7f2585db3b12f2edbf587f591463aed7c98f5

[ "MIT" ]

null

src/malign/alignment.py

tresoldi/malign

dad7f2585db3b12f2edbf587f591463aed7c98f5

[ "MIT" ]

1

2020-08-07T13:01:29.000Z

src/malign/alignment.py

tresoldi/malign

dad7f2585db3b12f2edbf587f591463aed7c98f5

[ "MIT" ]

null

""" Module for the Alignment class. The `Alignment` class is a simple data class that holds aligned sequences and their score. It was originally a dictionary passed back and forth among functions, for which a data class is a good replacement. """ from dataclasses import dataclass from typing import Sequence, Hashable # TODO: write methods for comparison, based on score # TODO: add various checks post-initialization @dataclass class Alignment: seqs: Sequence[Hashable] score: float def __len__(self) -> int: """ Return the number of sequences in the alignment. @return: The number of sequences in the alignment. """ return len(self.seqs) def __getitem__(self, idx: int) -> Hashable: """ Return a sequence by its index. @param idx: The index of the sequence in the alignment. @return: The sequence at the requested index. """ return self.seqs[idx]

25.368421

77

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128

964

5.046875

0.5

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0.065015

0.092879

0.168731

0.133127

0

0.253112

964

37

78

26.054054

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false

0

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0.9

0

null

0

null

0

1

0

1

0

2

209687c99cd37798d8ff94e233db49d920a9fa57

14,653

py

Python

tests/test_record_parsing.py

jodal/python-netsgiro

b180ad3e6c8e4788c2dc539bdcd35b64b2bf6247

[ "Apache-2.0" ]

null

tests/test_record_parsing.py

jodal/python-netsgiro

b180ad3e6c8e4788c2dc539bdcd35b64b2bf6247

[ "Apache-2.0" ]

null

tests/test_record_parsing.py

jodal/python-netsgiro

b180ad3e6c8e4788c2dc539bdcd35b64b2bf6247

[ "Apache-2.0" ]

null

from datetime import date import pytest import netsgiro import netsgiro.records def test_transmission_start(): record = netsgiro.records.TransmissionStart.from_string( 'NY00001055555555100008100008080000000000' '0000000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.NONE assert record.RECORD_TYPE == netsgiro.RecordType.TRANSMISSION_START assert record.data_transmitter == '55555555' assert record.transmission_number == '1000081' assert record.data_recipient == '00008080' def test_transmission_start_fails_when_invalid_format(): line = 'XX' + ('0' * 78) with pytest.raises( ValueError, match='{!r} did not match TransmissionStart record format'.format(line), ): netsgiro.records.TransmissionStart.from_string(line) def test_transmission_end(): record = netsgiro.records.TransmissionEnd.from_string( 'NY00008900000006000000220000000000000060' '0170604000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.NONE assert record.RECORD_TYPE == netsgiro.RecordType.TRANSMISSION_END assert record.num_transactions == 6 assert record.num_records == 22 assert record.total_amount == 600 assert record.nets_date == date(2004, 6, 17) def test_assignment_start_for_avtalegiro_payment_requests(): record = netsgiro.records.AssignmentStart.from_string( 'NY21002000000000040000868888888888800000' '0000000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_START assert record.assignment_type == netsgiro.AssignmentType.TRANSACTIONS assert record.agreement_id == '000000000' assert record.assignment_number == '4000086' assert record.assignment_account == '88888888888' def test_assignment_start_for_avtalegiro_agreements(): record = netsgiro.records.AssignmentStart.from_string( 'NY21242000000000040000868888888888800000' '0000000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_START assert record.assignment_type == ( netsgiro.AssignmentType.AVTALEGIRO_AGREEMENTS ) assert record.agreement_id is None assert record.assignment_number == '4000086' assert record.assignment_account == '88888888888' def test_assignment_start_for_avtalegiro_cancellation(): record = netsgiro.records.AssignmentStart.from_string( 'NY21362000000000040000868888888888800000' '0000000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_START assert record.assignment_type == ( netsgiro.AssignmentType.AVTALEGIRO_CANCELLATIONS ) assert record.agreement_id is None assert record.assignment_number == '4000086' assert record.assignment_account == '88888888888' def test_assignment_start_for_ocr_giro_transactions(): record = netsgiro.records.AssignmentStart.from_string( 'NY09002000100856600000029999104276400000' '0000000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.OCR_GIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_START assert record.assignment_type == netsgiro.AssignmentType.TRANSACTIONS assert record.agreement_id == '001008566' assert record.assignment_number == '0000002' assert record.assignment_account == '99991042764' def test_assignment_end_for_avtalegiro_payment_requests(): record = netsgiro.records.AssignmentEnd.from_string( 'NY21008800000006000000200000000000000060' '0170604170604000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_END assert record.assignment_type == netsgiro.AssignmentType.TRANSACTIONS assert record.num_transactions == 6 assert record.num_records == 20 assert record.total_amount == 600 assert record.nets_date_earliest == date(2004, 6, 17) assert record.nets_date_latest == date(2004, 6, 17) def test_assignment_end_for_avtalegiro_agreements(): record = netsgiro.records.AssignmentEnd.from_string( 'NY21248800000006000000200000000000000000' '0000000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_END assert record.assignment_type == ( netsgiro.AssignmentType.AVTALEGIRO_AGREEMENTS ) assert record.num_transactions == 6 assert record.num_records == 20 assert record.total_amount is None assert record.nets_date_earliest is None assert record.nets_date_latest is None def test_assignment_end_for_avtalegiro_cancellations(): record = netsgiro.records.AssignmentEnd.from_string( 'NY21368800000006000000200000000000000060' '0170604170604000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_END assert record.assignment_type == ( netsgiro.AssignmentType.AVTALEGIRO_CANCELLATIONS ) assert record.num_transactions == 6 assert record.num_records == 20 assert record.total_amount == 600 assert record.nets_date_latest == date(2004, 6, 17) assert record.nets_date_earliest == date(2004, 6, 17) def test_assignment_end_for_ocr_giro_transactions(): record = netsgiro.records.AssignmentEnd.from_string( 'NY09008800000020000000420000000000514490' '0200192200192200192000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.OCR_GIRO assert record.RECORD_TYPE == netsgiro.RecordType.ASSIGNMENT_END assert record.assignment_type == netsgiro.AssignmentType.TRANSACTIONS assert record.num_transactions == 20 assert record.num_records == 42 assert record.total_amount == 5144900 assert record.nets_date == date(1992, 1, 20) assert record.nets_date_earliest == date(1992, 1, 20) assert record.nets_date_latest == date(1992, 1, 20) def test_transaction_amount_item_1_for_avtalegiro_payment_request(): record = netsgiro.records.TransactionAmountItem1.from_string( 'NY2121300000001170604 00000000' '000000100 008000011688373000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_1 assert record.transaction_type == ( netsgiro.TransactionType.AVTALEGIRO_WITH_BANK_NOTIFICATION ) assert record.transaction_number == 1 assert record.nets_date == date(2004, 6, 17) assert record.amount == 100 assert record.kid == '008000011688373' def test_transaction_amount_item_1_for_avtalegiro_cancellation(): record = netsgiro.records.TransactionAmountItem1.from_string( 'NY2193300000001170604 00000000' '000000100 008000011688373000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_1 assert record.transaction_type == ( netsgiro.TransactionType.AVTALEGIRO_CANCELLATION ) assert record.transaction_number == 1 assert record.nets_date == date(2004, 6, 17) assert record.amount == 100 assert record.kid == '008000011688373' def test_transaction_amount_item_1_for_ocr_giro_transactions(): record = netsgiro.records.TransactionAmountItem1.from_string( 'NY09103000000012001921320101464000000000' '000102000 0000531000000' ) assert record.service_code == netsgiro.ServiceCode.OCR_GIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_1 assert record.transaction_type == ( netsgiro.TransactionType.FROM_GIRO_DEBITED_ACCOUNT ) assert record.transaction_number == 1 assert record.nets_date == date(1992, 1, 20) assert record.centre_id == '13' assert record.day_code == 20 assert record.partial_settlement_number == 1 assert record.partial_settlement_serial_number == '01464' assert record.sign == '0' assert record.amount == 102000 assert record.kid == '0000531' def test_transaction_amount_item_2_for_avtalegiro_payment_request(): record = netsgiro.records.TransactionAmountItem2.from_string( 'NY2121310000001NAVN ' ' 00000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_2 assert record.transaction_type == ( netsgiro.TransactionType.AVTALEGIRO_WITH_BANK_NOTIFICATION ) assert record.transaction_number == 1 assert record.payer_name == 'NAVN' assert record.reference is None def test_transaction_amount_item_2_for_ocr_giro_transactions(): record = netsgiro.records.TransactionAmountItem2.from_string( 'NY09103100000019636827194099038562000000' '0160192999905123410000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.OCR_GIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_2 assert record.transaction_type == ( netsgiro.TransactionType.FROM_GIRO_DEBITED_ACCOUNT ) assert record.transaction_number == 1 assert record.form_number == '9636827194' assert record.payer_name is None assert record.reference == '099038562' assert record.bank_date == date(1992, 1, 16) assert record.debit_account == '99990512341' def test_transaction_amount_item_2_for_ocr_giro_with_data_in_filler_field(): record = netsgiro.records.TransactionAmountItem2.from_string( 'NY09103100000029797596016097596016188320' '6160192999910055240000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.OCR_GIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_2 assert record.transaction_type == ( netsgiro.TransactionType.FROM_GIRO_DEBITED_ACCOUNT ) assert record.transaction_number == 2 assert record.form_number == '9797596016' assert record.payer_name is None assert record.reference == '097596016' assert record.bank_date == date(1992, 1, 16) assert record.debit_account == '99991005524' assert record._filler == '1883206' def test_transaction_amount_item_3_for_ocr_giro_transactions(): record = netsgiro.records.TransactionAmountItem3.from_string( 'NY0921320000001Foo bar baz ' ' 0000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.OCR_GIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AMOUNT_ITEM_3 assert record.transaction_type == ( netsgiro.TransactionType.PURCHASE_WITH_TEXT ) assert record.transaction_number == 1 assert record.text == 'Foo bar baz' def test_transaction_specification_for_avtalegiro_payment_request(): record = netsgiro.records.TransactionSpecification.from_string( 'NY212149000000140011 Gjelder Faktura: 16' '8837 Dato: 19/03/0400000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_SPECIFICATION assert record.transaction_type == ( netsgiro.TransactionType.AVTALEGIRO_WITH_BANK_NOTIFICATION ) assert record.transaction_number == 1 assert record.line_number == 1 assert record.column_number == 1 assert record.text == ' Gjelder Faktura: 168837 Dato: 19/03/04' def make_specification_records(num_lines, num_columns=2): return [ netsgiro.records.TransactionSpecification( service_code=netsgiro.ServiceCode.AVTALEGIRO, transaction_type=( netsgiro.TransactionType.AVTALEGIRO_WITH_BANK_NOTIFICATION ), transaction_number=1, line_number=line, column_number=column, text='Line {}, column {}'.format(line, column), ) for line in range(1, num_lines + 1) for column in range(1, num_columns + 1) ] def test_transaction_specification_to_text_with_max_number_of_records(): records = make_specification_records(42) result = netsgiro.records.TransactionSpecification.to_text(records) assert len(result.splitlines()) == 42 assert 'Line 1, column 1' in result assert 'Line 42, column 2' in result def test_transaction_specification_to_text_with_too_many_records(): records = make_specification_records(43) with pytest.raises( ValueError, match='Max 84 specification records allowed, got 86' ): netsgiro.records.TransactionSpecification.to_text(records) def test_avtalegiro_active_agreement(): record = netsgiro.records.AvtaleGiroAgreement.from_string( 'NY21947000000010 00800001168837' '3J00000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AGREEMENTS assert record.transaction_type == ( netsgiro.TransactionType.AVTALEGIRO_AGREEMENT ) assert record.transaction_number == 1 assert record.registration_type == ( netsgiro.AvtaleGiroRegistrationType.ACTIVE_AGREEMENT ) assert record.kid == '008000011688373' assert record.notify is True def test_avtalegiro_new_or_updated_agreement(): record = netsgiro.records.AvtaleGiroAgreement.from_string( 'NY21947000000011 00800001168837' '3N00000000000000000000000000000000000000' ) assert record.service_code == netsgiro.ServiceCode.AVTALEGIRO assert record.RECORD_TYPE == netsgiro.RecordType.TRANSACTION_AGREEMENTS assert record.transaction_type == ( netsgiro.TransactionType.AVTALEGIRO_AGREEMENT ) assert record.transaction_number == 1 assert record.registration_type == ( netsgiro.AvtaleGiroRegistrationType.NEW_OR_UPDATED_AGREEMENT ) assert record.kid == '008000011688373' assert record.notify is False

34.076744

80

0.743943

1,479

14,653

7.102772

0.140636

0.165635

0.037982

0.059971

0.752118

0.720609

0.640076

0.564588

0.548406

0.49643

0

0.151303

0.182693

14,653

429

81

34.156177

0.725868

0

0.460317

0

0.140449

0.083055

0

0.469841

1

0.07619

false

0

0.012698

0.003175

0.092063

0

null

0

1

0

null

0

1

0

2

209da4aca789fa213327efbbc4af529de39c5ec3

507

py

Python

pyexlatex/presentation/beamer/templates/control/tocsection.py

whoopnip/py-ex-latex

66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6

[ "MIT" ]

4

2020-06-08T07:17:12.000Z

2021-11-04T21:39:52.000Z

pyexlatex/presentation/beamer/templates/control/tocsection.py

nickderobertis/py-ex-latex

66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6

[ "MIT" ]

24

2020-02-17T17:20:44.000Z

2021-12-20T00:10:19.000Z

pyexlatex/presentation/beamer/templates/control/tocsection.py

nickderobertis/py-ex-latex

66f5fadc35a0bfdce5f1ccb3c80dce8885b061b6

[ "MIT" ]

null

from pyexlatex.models.template import Template from pyexlatex.presentation import Frame from pyexlatex.presentation.beamer.control.atbeginsection import AtBeginSection from pyexlatex.models.toc import TableOfContents class TableOfContentsAtBeginSection(Template): def __init__(self): toc = TableOfContents(options=('currentsection',)) frame = Frame([toc], title='Table of Contents') at_begin = AtBeginSection(frame) self.contents = at_begin super().__init__()

33.8

79

0.751479

52

507

7.134615

0.5

0.140162

0.102426

0

0.163708

507

14

80

36.214286

0.875

0

0.061144

0

1

0.090909

false

0

0.363636

0

0.545455

0

null

0

null

0

1

0

1

0

2

20a7c1efa318407820ebb42f64ba8d670b3812f6

1,800

py

Python

order/models.py

akashbindal91/django_ecommerce_practice

28b882efe384f8f5312e98cd06263f095756b3a9

[ "MIT" ]

null

order/models.py

akashbindal91/django_ecommerce_practice

28b882efe384f8f5312e98cd06263f095756b3a9

[ "MIT" ]

null

order/models.py

akashbindal91/django_ecommerce_practice

28b882efe384f8f5312e98cd06263f095756b3a9

[ "MIT" ]

null

from django.db import models # Create your models here. class Order(models.Model): """ docstring """ token = models.CharField(max_length=250, blank=True) total = models.DecimalField( verbose_name="GBP Order Total", max_digits=10, decimal_places=2) emailAddress = models.EmailField( verbose_name="Email Address", max_length=254, blank=True) created = models.DateTimeField(auto_now_add=True) billingName = models.CharField(max_length=250, blank=True) billingAddress1 = models.CharField(max_length=250, blank=True) billingCity = models.CharField(max_length=250, blank=True) billingPostCode = models.CharField(max_length=250, blank=True) billingCountry = models.CharField(max_length=250, blank=True) shippingName = models.CharField(max_length=250, blank=True) shippingAddress1 = models.CharField(max_length=250, blank=True) shippingCity = models.CharField(max_length=250, blank=True) shippingPostCode = models.CharField(max_length=250, blank=True) shippingCountry = models.CharField(max_length=250, blank=True) class Meta: """ docstring """ db_table = 'Order' ordering = ['-created'] def __str__(self): return str(self.id) class OrderItem(models.Model): """ docstring """ product = models.CharField(max_length=254) quantity = models.IntegerField() price = models.DecimalField( max_digits=10, decimal_places=2, verbose_name="GBP Order Total",) order = models.ForeignKey( Order, on_delete=models.CASCADE) class Meta: """ docstring """ db_table = 'OrderItem' def sub_total(self): return self.quantity * self.price def __str__(self): return self.product

30

73

0.675556

207

1,800

5.710145

0.323672

0.098985

0.182741

0.243655

0.460237

0.377327

0.335025

0

0.033263

0.215

1,800

59

74

30.508475

0.803255

0.036111

0

0.111111

0

0.039204

0

1

0.083333

false

0

0.027778

0.083333

0.805556

0

null

0

1

0

null

0

2

20aa667a3ce1f1ef065e0ad54f6366095acc219b

149

py

Python

program-4/4a)Extracting substring.py

sumukhmg/PYTHON-LAB-SET-PROGRAMS

685d11ae8dd6e4352f83288fff1e3922e84bf022

[ "MIT" ]

12

2022-02-19T14:03:41.000Z

2022-03-16T12:52:47.000Z

program-4/4a)Extracting substring.py

sumukhmg/PYTHON-LAB-SET-PROGRAMS

685d11ae8dd6e4352f83288fff1e3922e84bf022

[ "MIT" ]

1

2022-03-02T14:55:37.000Z

program-4/4a)Extracting substring.py

sumukhmg/PYTHON-LAB-SET-PROGRAMS

685d11ae8dd6e4352f83288fff1e3922e84bf022

[ "MIT" ]

2

2022-03-02T14:36:14.000Z

2022-03-12T08:37:25.000Z

a = input("Enter the string:") b = a.find("@") c = a.find("#") print("The original string is:",a) print("The substring between @ and # is:",a[b+1:c])

29.8

51

0.604027

27

149

3.333333

0.555556

0.111111

0

0.007813

0.14094

149

5

51

29.8

0.695313

0

0.5

0

1

0

false

0

0.4

1

0

null

0

1

0

null

0

2

20bc2480212b49d6e810222a91c0c84532ff3e85

230

py

Python

scripts/read_value.py

jayantpatil/brownie-simple-storage

f501e94e88576a9a267ea451c046cedcb7100871

[ "MIT" ]

null

scripts/read_value.py

jayantpatil/brownie-simple-storage

f501e94e88576a9a267ea451c046cedcb7100871

[ "MIT" ]

null

scripts/read_value.py

jayantpatil/brownie-simple-storage

f501e94e88576a9a267ea451c046cedcb7100871

[ "MIT" ]

null

from brownie import accounts, config, SimpleStorage def read_contract(): # -1 index gets most recent transaction simple_storage = SimpleStorage[-1] print(simple_storage.retrieve()) def main(): read_contract()

19.166667

51

0.721739

27

230

6

0.740741

0.148148

0

0.010695

0.186957

230

11

52

20.909091

0.855615

0.16087

0

1

0.333333

false

0

0.166667

0

0.5

0.166667

1

0

null

0

null

0

1

0

2

20ca2e167b593c60175aa9358fd246b00b8a7d20

382

py

Python

ebrains_drive/__init__.py

apdavison/ebrains-drive

8ff11fc60e77c1b605485f550efc350c1a5f443a

[ "Apache-2.0" ]

5

2020-12-20T16:12:18.000Z

2022-03-29T09:56:34.000Z

ebrains_drive/__init__.py

apdavison/ebrains-drive

8ff11fc60e77c1b605485f550efc350c1a5f443a

[ "Apache-2.0" ]

9

2020-09-25T08:27:41.000Z

2022-01-03T08:41:48.000Z

ebrains_drive/__init__.py

apdavison/ebrains-drive

8ff11fc60e77c1b605485f550efc350c1a5f443a

[ "Apache-2.0" ]

2

2020-09-18T17:32:38.000Z

2020-10-13T13:34:38.000Z

""" A Python package for working with the Human Brain Project Model Validation Framework. Andrew Davison and Shailesh Appukuttan, CNRS, 2017-2020 License: BSD 3-clause, see LICENSE.txt """ from ebrains_drive.client import DriveApiClient def connect(username=None, password=None, token=None, env=""): client = DriveApiClient(username, password, token, env) return client

27.285714

85

0.767016

51

382

5.72549

0.803922

0

0.027607

0.146597

382

14

86

27.285714

0.868098

0.47644

0

1

0.25

false

0.5

0.25

0

0.75

0

null

0

null

0

1

0

1

0

2

20cc6c6f266cf22a4841a420e28fb03f3c12ecb1

1,290

py

Python

test/mock/mock_lens.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

test/mock/mock_lens.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

test/mock/mock_lens.py

AshKelly/PyAutoLens

043795966338a655339e61782253ad67cc3c14e6

[ "MIT" ]

null

from test.mock.mock_inversion import MockMapper from test.mock.mock_galaxy import MockHyperGalaxy class MockTracer(object): def __init__(self, unblurred_image_1d, blurring_image_1d, has_light_profile, has_pixelization, has_hyper_galaxy, has_grid_mappers=False): self.unblurred_image_1d = unblurred_image_1d self.blurring_image_1d = blurring_image_1d self.has_light_profile = has_light_profile self.has_pixelization = has_pixelization self.has_hyper_galaxy = has_hyper_galaxy self.has_grid_mappers = has_grid_mappers @property def all_planes(self): return [] @property def image_plane_image_1d(self): return self.unblurred_image_1d @property def image_plane_blurring_image_1d(self): return self.blurring_image_1d @property def image_plane_images_1d(self): return [self.unblurred_image_1d] @property def image_plane_blurring_images_1d(self): return [self.blurring_image_1d] @property def mappers_of_planes(self): return [MockMapper()] @property def regularization_of_planes(self): return [MockMapper()] @property def hyper_galaxies(self): return [MockHyperGalaxy(), MockHyperGalaxy()]

28.043478

116

0.713178

158

1,290

5.398734

0.221519

0.098476

0.10551

0.093787

0.42204

0.344666

0.332943

0.241501

0.143025

0

0.013917

0.220155

1,290

46

117

28.043478

0.833996

0

0.285714

0

1

0.257143

false

0

0.057143

0.228571

0.571429

0

null

0

null

0

1

0

1

0

2

20d0d67fe1712516c0256a25ca26beffb42631c7

187

py

Python

2-6 motto2.py

Holaplace/path_to_python

8fae2aca8d6da04c39a67514948fdf50e883750a

[ "MIT" ]

1

2019-02-06T01:49:18.000Z

2-6 motto2.py

Holaplace/path_to_python

8fae2aca8d6da04c39a67514948fdf50e883750a

[ "MIT" ]

null

2-6 motto2.py

Holaplace/path_to_python

8fae2aca8d6da04c39a67514948fdf50e883750a

[ "MIT" ]

null

famous_name = "albert einstein" motto = "A person who never made a mistake never tried anything new." message = famous_name.title() + "once said, " + '"' + motto + '"' print(message)

37.4

70

0.673797

25

187

4.96

0.76

0.16129

0

0.187166

187

5

71

37.4

0.815789

0

0.472826

0

1

0

false

0

0.25

1

0

null

0

1

0

null

0

2

20df17921cd623c6203bd44e441ee7f224b6468c

2,273

py

Python

04_Data Manipulation with pandas/02_Aggregating Data/09_Multiple grouped summaries.py

mohd-faizy/DataScience-With-Python

13ebb10cf9083343056d5b782957241de1d595f9

[ "MIT" ]

5

2021-02-03T14:36:58.000Z

2022-01-01T10:29:26.000Z

04_Data Manipulation with pandas/02_Aggregating Data/09_Multiple grouped summaries.py

mohd-faizy/DataScience-With-Python

13ebb10cf9083343056d5b782957241de1d595f9

[ "MIT" ]

null

04_Data Manipulation with pandas/02_Aggregating Data/09_Multiple grouped summaries.py

mohd-faizy/DataScience-With-Python

13ebb10cf9083343056d5b782957241de1d595f9

[ "MIT" ]

3

2021-02-08T00:31:16.000Z

2022-03-17T13:52:32.000Z

''' 09 - Multiple grouped summaries Earlier in this chapter, you saw that the .agg() method is useful to compute multiple statistics on multiple variables. It also works with grouped data. NumPy, which is imported as np, has many different summary statistics functions, including: np.min, np.max, np.mean, and np.median. Instructions: - Import numpy with the alias np. - Get the min, max, mean, and median of weekly_sales for each store type using .groupby() and .agg(). Store this as sales_stats. Make sure to use numpy functions! - Get the min, max, mean, and median of unemployment and fuel_price_usd_per_l for each store type. Store this as unemp_fuel_stats. ----------------------------------------------------------------------------------------------------------------- sales.head() store type department date weekly_sales is_holiday temperature_c fuel_price_usd_per_l unemployment 0 1 A 1 2010-02-05 24924.50 False 5.728 0.679 8.106 1 1 A 1 2010-03-05 21827.90 False 8.056 0.693 8.106 2 1 A 1 2010-04-02 57258.43 False 16.817 0.718 7.808 3 1 A 1 2010-05-07 17413.94 False 22.528 0.749 7.808 4 1 A 1 2010-06-04 17558.09 False 27.050 0.715 7.808 ----------------------------------------------------------------------------------------------------------------- ''' # Import pandas and numpy import numpy as np import pandas as pd sales = pd.read_csv('content/wallmart_sales.csv') # Import numpy with the alias np import numpy as np # For each store type, aggregate weekly_sales: get min, max, mean, and median sales_stats = sales.groupby('type')['weekly_sales'].agg([np.min, np.max, np.mean, np.median]) # Print sales_stats print(sales_stats) # For each store type, aggregate unemployment and fuel_price_usd_per_l: get min, max, mean, and median unemp_fuel_stats = sales.groupby('type')[['fuel_price_usd_per_l', 'unemployment']].agg([np.min, np.max, np.mean, np.median]) # Print unemp_fuel_stats print(unemp_fuel_stats)

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322

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3.919255

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0.027734

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2,273

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125

46.387755

0.658537

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null

0

1

0

null

0

1

0

2

20e33764352d730024b8287c9a46b924f5639e3d

342

py

Python

MatrixSqrt.py

aminya/smop

d1ef857dbae08ed071b54685c106d4b5b40747c3

[ "MIT" ]

null

MatrixSqrt.py

aminya/smop

d1ef857dbae08ed071b54685c106d4b5b40747c3

[ "MIT" ]

1

2019-10-16T03:45:08.000Z

MatrixSqrt.py

aminya/smop-for-Julia-Matlab-Python-Benchmark

d1ef857dbae08ed071b54685c106d4b5b40747c3

[ "MIT" ]

null

# Generated with SMOP 0.41 from libsmop import * # MatrixSqrt.m @function def MatrixSqrt(matrixSize=None,mX=None,mY=None,*args,**kwargs): varargin = MatrixSqrt.varargin nargin = MatrixSqrt.nargin mY=dot(mX.T,mX) # MatrixSqrt.m:3 mA=sqrtm(mY) # MatrixSqrt.m:5 return mA if __name__ == '__main__': pass

18

63

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47

342

4.638298

0.659574

0.151376

0

0.018657

0.216374

342

19

64

18

0.794776

0.19883

0

1

0

0.02963

0

1

0.1

false

0.1

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0.3

0

null

0

1

0

null

0

1

0

2

456204f6871f6eb8dedf973fadca394db0e5504c

87

py

Python

scripts/exercicios/ex025.py

RuanBarretodosSantos/python

4142ccd71c4ffb4bb6a10d61c85f612758f5bb41

[ "MIT" ]

null

scripts/exercicios/ex025.py

RuanBarretodosSantos/python

4142ccd71c4ffb4bb6a10d61c85f612758f5bb41

[ "MIT" ]

null

scripts/exercicios/ex025.py

RuanBarretodosSantos/python

4142ccd71c4ffb4bb6a10d61c85f612758f5bb41

[ "MIT" ]

null

nome = str(input('Digite seu nome: ')).strip() cap = nome.title() print('Silva' in cap)

29

46

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14

87

4.071429

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0.126437

87

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47

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0.75

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0

0.333333

1

0

null

0

1

0

null

0

2

457331800134bf6e126c42a54f07847df0aef032

179

py

Python

where my anagrams at.py

faaiqbilal/codewars-code

decc7001134234f7ec9ffa74653e2dca5fa40ef6

[ "MIT" ]

null

where my anagrams at.py

faaiqbilal/codewars-code

decc7001134234f7ec9ffa74653e2dca5fa40ef6

[ "MIT" ]

null

where my anagrams at.py

faaiqbilal/codewars-code

decc7001134234f7ec9ffa74653e2dca5fa40ef6

[ "MIT" ]

null

def anagrams(word, words): agrams = [] s1 = sorted(word) for i in range (0, len(words)): s2 = sorted(words[i]) if s1 == s2: agrams.append(words[i]) return agrams

22.375

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179

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8

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22.375

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0

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0.125

false

0

0.25

0

1

0

null

0

1

0

null

0

2

45770058508f21a3a4be648d911aa80a191fe520

5,858

py

Python

utils/ErrorMetrics.py

caozidong/Depth-Completion

a4d95cd33f29c5c8610fc8f40dd3b1fc81186143

[ "Apache-2.0" ]

5

2021-01-19T13:59:14.000Z

2021-12-01T12:09:01.000Z

utils/ErrorMetrics.py

caozidong/Depth-Completion

a4d95cd33f29c5c8610fc8f40dd3b1fc81186143

[ "Apache-2.0" ]

null

utils/ErrorMetrics.py

caozidong/Depth-Completion

a4d95cd33f29c5c8610fc8f40dd3b1fc81186143

[ "Apache-2.0" ]

null

import torch import torch.nn as nn import torch.nn.functional as F import numpy as np class MAE(nn.Module): def __init__(self): super(MAE, self).__init__() def forward(self, outputs, target, *args): val_pixels = (target > 0).float().cuda() err = torch.abs(target * val_pixels - outputs * val_pixels) loss = torch.sum(err.view(err.size(0), 1, -1), -1, keepdim=True) cnt = torch.sum(val_pixels.view(val_pixels.size(0), 1, -1), -1, keepdim=True) return torch.mean(loss / cnt) class RMSE(nn.Module): def __init__(self): super(RMSE, self).__init__() def forward(self, outputs, target, *args): val_pixels = (target > 0).float().cuda() err = (target * val_pixels - outputs * val_pixels) ** 2 loss = torch.sum(err.view(err.size(0), 1, -1), -1, keepdim=True) cnt = torch.sum(val_pixels.view(val_pixels.size(0), 1, -1), -1, keepdim=True) return torch.mean(torch.sqrt(loss / cnt)) class Deltas(nn.Module): def __init__(self): super(Deltas, self).__init__() def forward(self, outputs, target, *args): val_pixels = (target > 0).float().cuda() rel = torch.max((target * val_pixels) / (outputs * val_pixels + 1e-3), (outputs * val_pixels) / (target * val_pixels)) cnt = torch.sum(val_pixels.view(val_pixels.size(0), 1, -1), -1, keepdim=True) def del_i(i): r = (rel < 1.01 ** i).float() delta = torch.sum(r.view(r.size(0), 1, -1), -1, keepdim=True) / cnt return torch.mean(delta) return del_i(1), del_i(2), del_i(3) class Huber(nn.Module): def __init__(self): super(Huber, self).__init__() def forward(self, outputs, target, delta=5): l1_loss = F.l1_loss(outputs, target, reduce=False) mse_loss = F.mse_loss(outputs, target, reduce=False) mask = (l1_loss < delta).float() loss = (0.5 * mse_loss) * mask + delta * (l1_loss - 0.5 * delta) * (1 - mask) return torch.mean(loss) class EPE_metric(nn.Module): def __init__(self): super(EPE_metric, self).__init__() def forward(self, outputs, target): mask = (target > 0) outputs, target = outputs[mask], target[mask] err = torch.abs(target - outputs) loss = torch.mean(err) return loss class D1_metric(nn.Module): def __init__(self): super(D1_metric, self).__init__() def forward(self, outputs, target): mask = (target > 0) outputs, target = outputs[mask], target[mask] E = torch.abs(outputs - target) # err_mask = (E > 3) & (E / target.abs() > 0.05) err_mask = (E > 3) return torch.mean(err_mask.float()) class Thres_metric(nn.Module): def __init__(self): super(Thres_metric, self).__init__() def forward(self, outputs, target): mask_tar = (target > 0) mask_out = (outputs > 0) mask = mask_tar * mask_out # mask = (target > 0) thres = 3 assert isinstance(thres, (int, float)) outputs, target = outputs[mask], target[mask] E = torch.abs(target - outputs) err_mask = (E > thres) return torch.mean(err_mask.float()) class Deltas_Paint(nn.Module): def __init__(self): super(Deltas_Paint, self).__init__() def forward(self, outputs, target, *args): val_pixels = (target > 0).float().cuda() rel = torch.max((target * val_pixels) / (outputs * val_pixels + 1e-3), (outputs * val_pixels) / (target * val_pixels)) cnt = torch.sum(val_pixels.view(val_pixels.size(0), 1, -1), -1, keepdim=True) def del_i(i): r = (rel < 1.25 ** i).float() delta = torch.sum(r.view(r.size(0), 1, -1), -1, keepdim=True) / cnt return torch.mean(delta) def del_j(i): r = (rel < i).float() delta = torch.sum(r.view(r.size(0), 1, -1), -1, keepdim=True) / cnt return torch.mean(delta) return del_j(1.05), del_j(1.10), del_i(1), del_i(2), del_i(3), cnt class SSIM_Metric(nn.Module): def __init__(self): super(SSIM_Metric, self).__init__() def forward(self, x, y): C1 = 0.01 ** 2 C2 = 0.03 ** 2 mu_x = F.avg_pool2d(x, 3, 1, 1) mu_y = F.avg_pool2d(y, 3, 1, 1) sigma_x = F.avg_pool2d(x ** 2, 3, 1, 1) - mu_x ** 2 sigma_y = F.avg_pool2d(y ** 2, 3, 1, 1) - mu_y ** 2 sigma_xy = F.avg_pool2d(x * y, 3, 1, 1) - mu_x * mu_y SSIM_n = (2 * mu_x * mu_y + C1) * (2 * sigma_xy + C2) SSIM_d = (mu_x ** 2 + mu_y ** 2 + C1) * (sigma_x + sigma_y + C2) SSIM = SSIM_n / SSIM_d # return torch.clamp((1 - SSIM) / 2, 0, 1) return SSIM.mean(), torch.tensor([torch.numel(x)]) class MAE_Paint(nn.Module): def __init__(self): super(MAE_Paint, self).__init__() def forward(self, outputs, target, *args): val_pixels = (target > 0).float().cuda() err = torch.abs(target * val_pixels - outputs * val_pixels) loss = torch.sum(err.view(err.size(0), 1, -1), -1, keepdim=True) cnt = torch.sum(val_pixels.view(val_pixels.size(0), 1, -1), -1, keepdim=True) return torch.mean(loss / torch.numel(outputs)), torch.tensor([torch.numel(outputs)]) class RMSE_Paint(nn.Module): def __init__(self): super(RMSE_Paint, self).__init__() def forward(self, outputs, target, *args): val_pixels = (target > 0).float().cuda() err = (target * val_pixels - outputs * val_pixels) ** 2 loss = torch.sum(err.view(err.size(0), 1, -1), -1, keepdim=True) cnt = torch.sum(val_pixels.view(val_pixels.size(0), 1, -1), -1, keepdim=True) return (loss / torch.numel(outputs)), torch.tensor([torch.numel(outputs)])

35.50303

92

0.575111

857

5,858

3.711785

0.101517

0.096196

0.024521

0.028607

0.773342

0.732788

0.716441

0.589437

0.520905

0

0.0351

0.26562

5,858

165

93

35.50303

0.704324

0.018266

0

0.472

0

0.008

1

0.2

false

0

0.032

0

0.432

0

null

0

1

0

null

0

2

457a13fcc5619e763cff2978c285e3ac7191dd4c

349

py

Python

easy/count-as-i-count/main.py

khanh-alice/codingame-python

3d84361db2e3371104db8d9befcf4dbb47f6ac6e

[ "Apache-2.0" ]

null

easy/count-as-i-count/main.py

khanh-alice/codingame-python

3d84361db2e3371104db8d9befcf4dbb47f6ac6e

[ "Apache-2.0" ]

null

easy/count-as-i-count/main.py

khanh-alice/codingame-python

3d84361db2e3371104db8d9befcf4dbb47f6ac6e

[ "Apache-2.0" ]

null

initialScore = int(input()) def count_solutions(score, turn): if score > 50 or turn > 4: return 0 if score == 50: return 1 result = count_solutions(score + 1, turn + 1) for i in range(2, 13): result += 2 * count_solutions(score + i, turn + 1) return result print(count_solutions(initialScore, 0))

17.45

58

0.601719

49

349

4.204082

0.469388

0.271845

0.276699

0

0.060484

0.289398

349

19

59

18.368421

0.770161

0

1

0.090909

false

0

0.363636

0.090909

0

null

1

0

null

0

2

457d8ed76184da607ae120220f6d3c830a2b03ff

399

py

Python

kafka_streamer/topic/datatype/base.py

sam-mosleh/kafka-streamer

be977af192b33a335b42af0a42ad05d9f3f9fef4

[ "BSD-3-Clause" ]

1

2020-06-26T00:10:05.000Z

kafka_streamer/topic/datatype/base.py

sam-mosleh/kafka-streamer

be977af192b33a335b42af0a42ad05d9f3f9fef4

[ "BSD-3-Clause" ]

null

kafka_streamer/topic/datatype/base.py

sam-mosleh/kafka-streamer

be977af192b33a335b42af0a42ad05d9f3f9fef4

[ "BSD-3-Clause" ]

null

from abc import ABC, abstractmethod from typing import Type, Union from kafka_streamer.models import SchematicRecord, Serializable class KafkaDataType(ABC): _MAGIC_BYTE = 0 @abstractmethod def deserialize(self, data: bytes): pass @abstractmethod def serialize( self, data: Union[SchematicRecord, Type[Serializable], bytes, None] ) -> bytes: pass

21

75

0.696742

43

399

6.395349

0.581395

0.123636

0

0.003257

0.230576

399

18

76

22.166667

0.892508

0

0.307692

0

1

0.153846

false

0.153846

0.230769

0

0.538462

0

null

0

null

0

1

0

1

0

2

459f5157ab1931fdcbdbea8249e936a2e4eee079

332

py

Python

_fred-v1/fred/endpoints/shutdown.py

elviva404/frontend-regression-validator

21df2a127712bdf0688dc9aedf478c6a2a90a3c3

[ "ECL-2.0", "Apache-2.0" ]

70

2019-09-16T13:30:49.000Z

2022-02-25T17:46:23.000Z

_fred-v1/fred/endpoints/shutdown.py

elviva404/frontend-regression-validator

21df2a127712bdf0688dc9aedf478c6a2a90a3c3

[ "ECL-2.0", "Apache-2.0" ]

2

2020-01-13T09:15:47.000Z

2020-07-29T11:49:25.000Z

_fred-v1/fred/endpoints/shutdown.py

elviva404/frontend-regression-validator

21df2a127712bdf0688dc9aedf478c6a2a90a3c3

[ "ECL-2.0", "Apache-2.0" ]

10

2019-10-06T08:22:05.000Z

2022-02-03T18:45:08.000Z

from flask_restful import Resource from flask import request class Shutdown(Resource): def get(self): shutdown = request.environ.get('werkzeug.server.shutdown') if shutdown is None: raise RuntimeError('Not running with the Werkzeug Server') shutdown() return 'Server shutting down'

27.666667

70

0.683735

39

332

5.794872

0.666667

0.079646

0.19469

0

0.243976

332

11

71

30.181818

0.900398

0

0.240964

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false

0

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0.555556

0

null

0

1

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null

0

1

0

2

45cd6b7941697c04db1bb1d94a1276f8ec7934e6

177

py

Python

tests/__init__.py

obytes/tap-python

bc119cb785dc353f0c67241a64d9fcb30f21fbf7

[ "MIT" ]

3

2019-05-28T16:19:57.000Z

2022-03-05T13:16:43.000Z

tests/__init__.py

obytes/tap-python

bc119cb785dc353f0c67241a64d9fcb30f21fbf7

[ "MIT" ]

2

2019-07-02T21:45:09.000Z

2019-07-03T13:55:54.000Z

tests/__init__.py

obytes/tap-python

bc119cb785dc353f0c67241a64d9fcb30f21fbf7

[ "MIT" ]

null

import vcr tap_vcr = vcr.VCR( serializer='yaml', cassette_library_dir='tests/fixtures/vcr_cassettes', record_mode='new_episodes', match_on=['uri', 'method'], )

19.666667

56

0.689266

23

177

5

0.826087

0.104348

0

0.158192

177

8

57

22.125

0.771812

0

0.299435

0.158192

0

1

0

false

0

0.142857

0

0.142857

0

1

0

null

0

1

0

null

0

2

45e49b8126b2a37679ad85ae284597124464cca3

465

py

Python

netmiko/ciena/ciena_saos_ssh.py

mostau1/netmiko

5b5463fb01e39e771be553281748477a48c7391c

[ "MIT" ]

null

netmiko/ciena/ciena_saos_ssh.py

mostau1/netmiko

5b5463fb01e39e771be553281748477a48c7391c

[ "MIT" ]

8

2020-02-05T14:17:32.000Z

2021-09-23T23:27:46.000Z

netmiko/ciena/ciena_saos_ssh.py

mostau1/netmiko

5b5463fb01e39e771be553281748477a48c7391c

[ "MIT" ]

null

"""Ciena SAOS support.""" from __future__ import print_function from __future__ import unicode_literals from netmiko.cisco_base_connection import CiscoSSHConnection class CienaSaosSSH(CiscoSSHConnection): """Ciena SAOS support.""" def session_preparation(self): self._test_channel_read() self.set_base_prompt() self.disable_paging(command="system shell session set more off\n") def enable(self, *args, **kwargs): pass

29.0625

74

0.733333

55

465

5.854545

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0.055901

0.099379

0

0.176344

465

15

75

31

0.840731

0.083871

0

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1

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false

0.1

0.3

0

0.6

0.1

0

null

0

null

0

1

0

1

0

2

afe94ca2d45bfd979c9c6fa0ac9fdd90eb8ec0aa

1,647

py

Python

authors/apps/articles/views/article_favourite_view.py

AmosWels/ah-django

5b8e39053d63f1dfb3c14066b163a1d37af91076

[ "BSD-3-Clause" ]

null

authors/apps/articles/views/article_favourite_view.py

AmosWels/ah-django

5b8e39053d63f1dfb3c14066b163a1d37af91076

[ "BSD-3-Clause" ]

null

authors/apps/articles/views/article_favourite_view.py

AmosWels/ah-django

5b8e39053d63f1dfb3c14066b163a1d37af91076

[ "BSD-3-Clause" ]

null

from django.http import Http404 from django.core import exceptions from rest_framework import status from rest_framework.generics import RetrieveUpdateAPIView from rest_framework.permissions import ( IsAuthenticatedOrReadOnly, IsAuthenticated ) from rest_framework.response import Response from rest_framework.views import APIView from ..models import Article from ..renderers import ArticleJSONRenderer from ..serializers import ( ArticleSerializer ) from ..exceptions import ArticleDoesNotExist from django.db.models import Avg from django.shortcuts import render, get_object_or_404 class ArticleFavouriteAPIView(APIView): permission_classes = (IsAuthenticated,) renderer_classes = (ArticleJSONRenderer,) serializer_class = ArticleSerializer def post(self, request, slug): profile = request.user.profile serializer_context = {'request': request} article = self.get_article(slug) profile.favourite(article) serializer = self.serializer_class(article, context=serializer_context) return Response(serializer.data, status=status.HTTP_201_CREATED) def delete(self, request, slug): profile = request.user.profile serializer_context = {'request': request} article = self.get_article(slug) profile.unfavourite(article) serializer = self.serializer_class(article, context=serializer_context) return Response(serializer.data, status=status.HTTP_200_OK) def get_article(self, slug): try: return Article.objects.get(slug=slug) except Article.DoesNotExist: raise Http404

29.410714

79

0.743169

176

1,647

6.818182

0.346591

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0.070833

0.036667

0.356667

0

0.011219

0.188221

1,647

55

80

29.945455

0.886313

0

0.2

0

0.0085

0

1

0.075

false

0

0.325

0

0.575

0

null

0

null

0

1

0

1

0

2

b30c782f3342ff4875fb902c643ddb150ecbbb77

1,106

py

Python

bot/migrators/config_migrator.py

yukie-nobuharu/TTMediaBot

9d34aadb1cfa41fcceee212931ff12526d3d137f

[ "MIT" ]

null

bot/migrators/config_migrator.py

yukie-nobuharu/TTMediaBot

9d34aadb1cfa41fcceee212931ff12526d3d137f

[ "MIT" ]

null

bot/migrators/config_migrator.py

yukie-nobuharu/TTMediaBot

9d34aadb1cfa41fcceee212931ff12526d3d137f

[ "MIT" ]

null

import sys from bot.config import ConfigManager, config_data_type def to_v1(config_data: config_data_type) -> config_data_type: return update_version(config_data, 1) migrate_functs = {1: to_v1} def migrate( config_manager: ConfigManager, config_data: config_data_type, ) -> config_data_type: if "config_version" not in config_data: update_version(config_data, 0) elif ( not isinstance(config_data["config_version"], int) or config_data["config_version"] > config_manager.version ): sys.exit("Error: invalid config_version value") elif config_data["config_version"] == config_manager.version: return config_data else: for ver in migrate_functs: if ver > config_data["config_version"]: config_data = migrate_functs[ver](config_data) config_manager._dump(config_data) return config_data def update_version(config_data: config_data_type, version: int) -> config_data_type: _config_data = {"config_version": version} _config_data.update(config_data) return _config_data

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1,106

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b312fd40137f1f88994faa7dd28816b492eac96b

18,544

py

Python

ocrj/misc/nihongo.py

eggplants/OCR_Japanease

15ed5df66a66047fa877ded2e935f7b2fb006c2b

[ "MIT" ]

2

2021-08-08T07:14:36.000Z

2021-08-08T07:25:43.000Z

ocrj/misc/nihongo.py

eggplants/ocrj

15ed5df66a66047fa877ded2e935f7b2fb006c2b

[ "MIT" ]

null

ocrj/misc/nihongo.py

eggplants/ocrj

15ed5df66a66047fa877ded2e935f7b2fb006c2b

[ "MIT" ]

null

import string hiragana = \ ['あ', 'い', 'う', 'え', 'お', 'か', 'き', 'く', 'け', 'こ', 'さ', 'し', 'す', 'せ', 'そ', 'た', 'ち', 'つ', 'て', 'と', 'な', 'に', 'ぬ', 'ね', 'の', 'は', 'ひ', 'ふ', 'へ', 'ほ', 'ま', 'み', 'む', 'め', 'も', 'ら', 'り', 'る', 'れ', 'ろ', 'が', 'ぎ', 'ぐ', 'げ', 'ご', 'ざ', 'じ', 'ず', 'ぜ', 'ぞ', 'だ', 'ぢ', 'づ', 'で', 'ど', 'ば', 'び', 'ぶ', 'べ', 'ぼ', 'ぱ', 'ぴ', 'ぷ', 'ぺ', 'ぽ', 'や', 'ゆ', 'よ', 'わ', 'を', 'ん'] katakana = \ ['ア', 'イ', 'ウ', 'エ', 'オ', 'カ', 'キ', 'ク', 'ケ', 'コ', 'サ', 'シ', 'ス', 'セ', 'ソ', 'タ', 'チ', 'ツ', 'テ', 'ト', 'ナ', 'ニ', 'ヌ', 'ネ', 'ノ', 'ハ', 'ヒ', 'フ', 'ヘ', 'ホ', 'マ', 'ミ', 'ム', 'メ', 'モ', 'ラ', 'リ', 'ル', 'レ', 'ロ', 'ガ', 'ギ', 'グ', 'ゲ', 'ゴ', 'ザ', 'ジ', 'ズ', 'ゼ', 'ゾ', 'ダ', 'ヂ', 'ヅ', 'デ', 'ド', 'バ', 'ビ', 'ブ', 'ベ', 'ボ', 'パ', 'ピ', 'プ', 'ペ', 'ポ', 'ヤ', 'ユ', 'ヨ', 'ワ', 'ヲ', 'ン', 'ー'] alphabet_upper = list(string.ascii_uppercase) alphabet_lower = list(string.ascii_lowercase) numetric = list(string.digits) alphabet_num = list(string.ascii_letters + string.digits) kigou = \ ['(', ')', '[', ']', '「', '」', '『', '』', '<', '>', '¥', '/', '÷', '*', '+', '×', '?', '=', '〜', '|', ':', ';', '。', '、', '.', ','] jyouyou_kanji = \ ['亜', '哀', '挨', '愛', '曖', '悪', '握', '圧', '扱', '宛', '嵐', '安', '案', '暗', '以', '衣', '位', '囲', '医', '依', '委', '威', '為', '畏', '胃', '尉', '異', '移', '萎', '偉', '椅', '彙', '意', '違', '維', '慰', '遺', '緯', '域', '育', '一', '壱', '逸', '茨', '芋', '引', '印', '因', '咽', '姻', '員', '院', '淫', '陰', '飲', '隠', '韻', '右', '宇', '羽', '雨', '唄', '鬱', '畝', '浦', '運', '雲', '永', '泳', '英', '映', '栄', '営', '詠', '影', '鋭', '衛', '易', '疫', '益', '液', '駅', '悦', '越', '謁', '閲', '円', '延', '沿', '炎', '怨', '宴', '媛', '援', '園', '煙', '猿', '遠', '鉛', '塩', '演', '縁', '艶', '汚', '王', '凹', '央', '応', '往', '押', '旺', '欧', '殴', '桜', '翁', '奥', '横', '岡', '屋', '億', '憶', '臆', '虞', '乙', '俺', '卸', '音', '恩', '温', '穏', '下', '化', '火', '加', '可', '仮', '何', '花', '佳', '価', '果', '河', '苛', '科', '架', '夏', '家', '荷', '華', '菓', '貨', '渦', '過', '嫁', '暇', '禍', '靴', '寡', '歌', '箇', '稼', '課', '蚊', '牙', '瓦', '我', '画', '芽', '賀', '雅', '餓', '介', '回', '灰', '会', '快', '戒', '改', '怪', '拐', '悔', '海', '界', '皆', '械', '絵', '開', '階', '塊', '楷', '解', '潰', '壊', '懐', '諧', '貝', '外', '劾', '害', '崖', '涯', '街', '慨', '蓋', '該', '概', '骸', '垣', '柿', '各', '角', '拡', '革', '格', '核', '殻', '郭', '覚', '較', '隔', '閣', '確', '獲', '嚇', '穫', '学', '岳', '楽', '額', '顎', '掛', '潟', '括', '活', '喝', '渇', '割', '葛', '滑', '褐', '轄', '且', '株', '釜', '鎌', '刈', '干', '刊', '甘', '汗', '缶', '完', '肝', '官', '冠', '巻', '看', '陥', '乾', '勘', '患', '貫', '寒', '喚', '堪', '換', '敢', '棺', '款', '間', '閑', '勧', '寛', '幹', '感', '漢', '慣', '管', '関', '歓', '監', '緩', '憾', '還', '館', '環', '簡', '観', '韓', '艦', '鑑', '丸', '含', '岸', '岩', '玩', '眼', '頑', '顔', '願', '企', '伎', '危', '机', '気', '岐', '希', '忌', '汽', '奇', '祈', '季', '紀', '軌', '既', '无', '記', '起', '飢', '鬼', '帰', '基', '寄', '規', '亀', '喜', '幾', '揮', '期', '棋', '貴', '棄', '毀', '旗', '器', '畿', '輝', '機', '騎', '技', '宜', '偽', '欺', '義', '疑', '儀', '戯', '擬', '犠', '議', '菊', '吉', '喫', '詰', '却', '客', '脚', '逆', '虐', '九', '久', '及', '弓', '丘', '旧', '休', '吸', '朽', '臼', '求', '究', '泣', '急', '級', '糾', '宮', '救', '球', '給', '嗅', '窮', '牛', '去', '巨', '居', '拒', '拠', '挙', '虚', '許', '距', '魚', '御', '漁', '凶', '共', '叫', '狂', '京', '享', '供', '協', '況', '峡', '挟', '狭', '恐', '恭', '胸', '脅', '強', '教', '郷', '境', '橋', '矯', '鏡', '競', '響', '驚', '仰', '暁', '業', '凝', '曲', '局', '極', '玉', '巾', '斤', '均', '近', '金', '菌', '勤', '琴', '筋', '僅', '禁', '緊', '錦', '謹', '襟', '吟', '銀', '区', '句', '苦', '駆', '具', '惧', '愚', '空', '偶', '遇', '隅', '串', '屈', '掘', '窟', '熊', '繰', '君', '訓', '勲', '薫', '軍', '郡', '群', '兄', '刑', '形', '系', '径', '茎', '係', '型', '契', '計', '恵', '啓', '掲', '渓', '経', '蛍', '敬', '景', '軽', '傾', '携', '継', '詣', '慶', '憬', '稽', '憩', '警', '鶏', '芸', '艸', '迎', '鯨', '隙', '劇', '撃', '激', '桁', '欠', '穴', '血', '決', '結', '傑', '潔', '月', '犬', '件', '見', '券', '肩', '建', '研', '県', '倹', '兼', '剣', '拳', '軒', '健', '険', '圏', '堅', '検', '嫌', '献', '絹', '遣', '権', '憲', '賢', '謙', '鍵', '繭', '顕', '験', '懸', '元', '幻', '玄', '言', '弦', '限', '原', '現', '舷', '減', '源', '厳', '己', '戸', '古', '呼', '固', '股', '虎', '孤', '弧', '故', '枯', '個', '庫', '湖', '雇', '誇', '鼓', '錮', '顧', '五', '互', '午', 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'洗', '染', '扇', '栓', '旋', '船', '戦', '煎', '羨', '腺', '詮', '践', '箋', '銭', '銑', '潜', '線', '遷', '選', '薦', '繊', '鮮', '全', '前', '善', '然', '禅', '漸', '膳', '繕', '狙', '阻', '祖', '租', '素', '措', '粗', '組', '疎', '訴', '塑', '遡', '礎', '双', '壮', '早', '争', '走', '奏', '相', '荘', '草', '送', '倉', '捜', '挿', '桑', '巣', '掃', '曹', '曽', '爽', '窓', '創', '喪', '痩', '葬', '装', '僧', '想', '層', '総', '遭', '槽', '踪', '操', '燥', '霜', '騒', '藻', '造', '像', '増', '憎', '蔵', '贈', '臓', '即', '束', '足', '促', '則', '息', '捉', '速', '側', '測', '俗', '族', '属', '賊', '続', '卒', '率', '存', '村', '孫', '尊', '損', '遜', '他', '多', '汰', '打', '妥', '唾', '堕', '惰', '駄', '太', '対', '体', '人', '耐', '待', '怠', '胎', '退', '帯', '泰', '堆', '袋', '逮', '替', '貸', '隊', '滞', '態', '戴', '大', '代', '台', '口', '第', '題', '滝', '宅', '択', '沢', '卓', '拓', '託', '濯', '諾', '濁', '但', '達', '脱', '奪', '棚', '誰', '丹', '旦', '担', '単', '炭', '胆', '探', '淡', '短', '嘆', '端', '綻', '誕', '鍛', '団', '男', '段', '断', '弾', '暖', '談', '壇', '地', '池', '知', '値', '恥', '致', '遅', '痴', '稚', '置', '緻', '竹', '畜', '逐', '蓄', '築', '秩', '窒', '茶', '着', '嫡', '中', '仲', '虫', '虫', '沖', '宙', '忠', '抽', '注', '昼', '柱', '衷', '酎', '鋳', '駐', '著', '貯', '丁', '弔', '庁', '兆', '町', '長', '挑', '帳', '張', '彫', '眺', '釣', '頂', '鳥', '朝', '脹', '貼', '超', '腸', '跳', '徴', '嘲', '潮', '澄', '調', '聴', '懲', '直', '勅', '捗', '沈', '珍', '朕', '陳', '賃', '鎮', '追', '椎', '墜', '通', '痛', '塚', '漬', '坪', '爪', '鶴', '低', '呈', '廷', '弟', '定', '底', '抵', '邸', '亭', '貞', '帝', '訂', '庭', '逓', '停', '偵', '堤', '提', '程', '艇', '締', '諦', '泥', '的', '笛', '摘', '滴', '適', '敵', '溺', '迭', '哲', '鉄', '徹', '撤', '天', '典', '店', '点', '展', '添', '転', '塡', '田', '伝', '殿', '電', '斗', '吐', '妬', '徒', '途', '都', '渡', '塗', '賭', '土', '奴', '努', '度', '怒', '刀', '冬', '灯', '火', '当', '投', '豆', '東', '到', '逃', '倒', '凍', '唐', '島', '桃', '討', '透', '党', '悼', '盗', '陶', '塔', '搭', '棟', '湯', '痘', '登', '答', '等', '筒', '統', '稲', '踏', '糖', '頭', '謄', '藤', '闘', '鬥', '騰', '同', '洞', '胴', '動', '堂', '童', '道', '働', '銅', '導', '瞳', '峠', '匿', '特', '得', '督', '徳', '篤', '毒', '独', '読', '栃', '凸', '突', '届', '屯', '豚', '頓', '貪', '鈍', '曇', '丼', '那', '奈', '内', '梨', '謎', '鍋', '南', '軟', '難', '二', '尼', '弐', '匂', '肉', '虹', '日', '入', '乳', '尿', '任', '妊', '忍', '認', '寧', '熱', '年', '念', '捻', '粘', '燃', '悩', '納', '能', '脳', '農', '濃', '把', '波', '派', '破', '覇', '馬', '婆', '罵', '拝', '杯', '背', '肺', '俳', '配', '排', '敗', '廃', '輩', '売', '倍', '梅', '培', '陪', '媒', '買', '賠', '白', '伯', '拍', '泊', '迫', '剝', '舶', '博', '薄', '麦', '漠', '縛', '爆', '箱', '箸', '畑', '肌', '八', '鉢', '発', '髪', '伐', '抜', '罰', '閥', '反', '半', '氾', '犯', '帆', '汎', '伴', '判', '坂', '阪', '板', '版', '班', '畔', '般', '販', '斑', '飯', '搬', '煩', '頒', '範', '繁', '藩', '晩', '番', '蛮', '盤', '比', '皮', '妃', '否', '批', '彼', '披', '肥', '非', '卑', '飛', '疲', '秘', '被', '悲', '扉', '費', '碑', '罷', '避', '尾', '眉', '美', '備', '微', '鼻', '膝', '肘', '匹', '必', '泌', '筆', '姫', '百', '氷', '表', '俵', '票', '評', '漂', '標', '苗', '秒', '病', '描', '猫', '品', '浜', '水', '貧', '賓', '頻', '敏', '瓶', '不', '夫', '父', '付', '布', '扶', '府', '怖', '阜', '附', '訃', '負', '赴', '浮', '婦', '符', '富', '普', '腐', '敷', '膚', '賦', '譜', '侮', '武', '部', '舞', '封', '風', '伏', '服', '副', '幅', '復', '福', '腹', '複', '覆', '払', '沸', '仏', '物', '粉', '紛', '雰', '噴', '墳', '憤', '奮', '分', '文', '聞', '丙', '平', '兵', '併', '並', '柄', '陛', '閉', '塀', '幣', '弊', '蔽', '餅', '米', '壁', '璧', '癖', '別', '蔑', '片', '辺', '返', '変', '偏', '遍', '編', '弁', '廾', '便', '勉', '歩', '保', '哺', '捕', '補', '舗', '母', '募', '墓', '慕', '暮', '簿', '方', '包', '芳', '邦', '奉', '宝', '抱', '放', '法', '泡', '胞', '俸', '倣', '峰', '砲', '崩', '訪', '報', '蜂', '豊', '飽', '褒', '縫', '亡', '乏', '忙', '坊', '妨', '忘', '防', '房', '肪', '某', '冒', '剖', '紡', '望', '傍', '帽', '棒', '貿', '貌', '暴', '膨', '謀', '頰', '北', '木', '朴', '牧', '睦', '僕', '墨', '撲', '没', '勃', '堀', '本', '奔', '翻', '凡', '盆', '麻', '摩', '磨', '魔', '毎', '妹', '枚', '昧', '埋', '幕', '膜', '枕', '又', '末', '抹', '万', '満', '慢', '漫', '未', '味', '魅', '岬', '密', '蜜', '脈', '妙', '民', '眠', '矛', '務', '無', '夢', '霧', '娘', '名', '命', '明', '迷', '冥', '盟', '銘', '鳴', '滅', '免', '面', '綿', '麺', '茂', '模', '毛', '妄', '盲', '耗', '猛', '網', '目', '黙', '門', '紋', '問', '匁', '冶', '夜', '野', '弥', '厄', '役', '約', '訳', '薬', '躍', '闇', '由', '油', '喩', '愉', '諭', '輸', '癒', '唯', '友', '有', '勇', '幽', '悠', '郵', '湧', '猶', '裕', '遊', '雄', '誘', '憂', '融', '優', '与', '予', '余', '人', '誉', '預', '幼', '用', '羊', '妖', '洋', '要', '容', '庸', '揚', '揺', '葉', '陽', '溶', '腰', '様', '瘍', '踊', '窯', '養', '擁', '謡', '曜', '抑', '沃', '浴', '欲', '翌', '翼', '拉', '裸', '羅', '来', '雷', '頼', '絡', '落', '酪', '辣', '乱', '卵', '覧', '濫', '藍', '欄', '吏', '利', '里', '理', '痢', '裏', '履', '璃', '離', '陸', '立', '律', '慄', '略', '柳', '流', '留', '竜', '粒', '隆', '硫', '侶', '旅', '虜', '慮', '了', '両', '良', '料', '涼', '猟', '陵', '量', '僚', '領', '寮', '療', '瞭', '糧', '力', '緑', '林', '厘', '倫', '輪', '隣', '臨', '瑠', '涙', '累', '塁', '類', '令', '礼', '示', '冷', '励', '戻', '例', '鈴', '零', '霊', '隷', '齢', '麗', '暦', '歴', '列', '劣', '烈', '裂', '恋', '連', '廉', '練', '錬', '呂', '炉', '賂', '路', '露', '老', '労', '弄', '郎', '朗', '浪', '廊', '楼', '漏', '籠', '六', '録', '麓', '論', '和', '話', '賄', '脇', '惑', '枠', '湾', '腕'] nihongo = hiragana + katakana + alphabet_num + kigou + jyouyou_kanji nihongo_class = ['']+nihongo filter_word = \ [('り', 'リ', katakana, katakana), ('リ', 'り', hiragana, hiragana), ('へ', 'ヘ', katakana, katakana), ('ヘ', 'へ', hiragana, hiragana), ('べ', 'ベ', katakana, katakana), ('ベ', 'べ', hiragana, hiragana), ('ぺ', 'ペ', katakana, katakana), ('ペ', 'ぺ', hiragana, hiragana), ('か', 'ガ', katakana, katakana), ('ガ', 'か', hiragana, hiragana), ('口', 'ロ', katakana, katakana), ('ロ', '口', jyouyou_kanji, jyouyou_kanji), ('工', 'エ', katakana, katakana), ('エ', '工', jyouyou_kanji, jyouyou_kanji), ('二', 'ニ', katakana, katakana), ('こ', 'ニ', katakana, katakana), ('ニ', '二', jyouyou_kanji, jyouyou_kanji), ('こ', '二', jyouyou_kanji, jyouyou_kanji), ('ニ', 'こ', hiragana, hiragana), ('二', 'こ', hiragana, hiragana), ('一', 'ー', katakana, katakana), ('ー', '一', jyouyou_kanji, jyouyou_kanji), ('七', 'セ', katakana, katakana), ('セ', '七', jyouyou_kanji, jyouyou_kanji), ('八', 'ハ', katakana, katakana), ('ハ', '八', jyouyou_kanji, jyouyou_kanji), ('力', 'カ', katakana, katakana), ('刀', 'カ', katakana, katakana), ('カ', '力', jyouyou_kanji, jyouyou_kanji), ('カ', '刀', jyouyou_kanji, jyouyou_kanji), ('干', 'チ', katakana, katakana), ('千', 'チ', katakana, katakana), ('チ', '干', jyouyou_kanji, jyouyou_kanji), ('チ', '千', jyouyou_kanji, jyouyou_kanji), ('手', 'キ', katakana, katakana), ('キ', '手', jyouyou_kanji, jyouyou_kanji), ('か', 'ガ', katakana, katakana), ('ガ', 'か', hiragana, hiragana), ('ホ', '木', jyouyou_kanji, jyouyou_kanji), ('木', 'ホ', katakana, katakana), ('J', 'ノ', katakana, katakana), ('ノ', 'J', alphabet_upper, alphabet_upper), ('ノ', 'J', None, alphabet_lower), ('j', 'ノ', katakana, katakana), ('ノ', 'j', alphabet_lower, alphabet_lower), ('T', '丁', jyouyou_kanji, jyouyou_kanji), ('丁', 'T', alphabet_upper, alphabet_upper), ('丁', 'T', None, alphabet_lower), ('T', 'イ', katakana, katakana), ('イ', 'T', alphabet_upper, alphabet_upper), ('イ', 'T', None, alphabet_lower), ('0', 'o', alphabet_lower+alphabet_upper, alphabet_lower), ('0', 'O', alphabet_upper, alphabet_upper), ('o', '0', numetric, numetric), ('O', '0', numetric, numetric), ('1', 'l', alphabet_lower+alphabet_upper, alphabet_lower), ('|', 'l', alphabet_lower+alphabet_upper, alphabet_lower), ('1', 'I', alphabet_upper, alphabet_upper), ('|', 'I', alphabet_upper, alphabet_upper), ('1', 'I', None, alphabet_lower), ('|', 'I', None, alphabet_lower), ('l', '1', numetric, numetric), ('I', '1', numetric, numetric), ('|', '1', numetric, numetric), ('ス', '又', jyouyou_kanji, jyouyou_kanji), ('又', 'ス', katakana, katakana), ('フ', '7', numetric, numetric), ('7', 'フ', katakana, katakana), ('5', 's', alphabet_lower+alphabet_upper, alphabet_lower), ('5', 'S', alphabet_upper, alphabet_upper), ('s', '5', numetric, numetric), ('S', '5', numetric, numetric), ('K', 'k', alphabet_lower, alphabet_lower), ('k', 'K', alphabet_upper, alphabet_upper), ('O', 'o', alphabet_lower, alphabet_lower), ('o', 'O', alphabet_upper, alphabet_upper), ('P', 'p', alphabet_lower, alphabet_lower), ('p', 'P', alphabet_upper, alphabet_upper), ('S', 's', alphabet_lower, alphabet_lower), ('s', 'S', alphabet_upper, alphabet_upper), ('U', 'u', alphabet_lower, alphabet_lower), ('u', 'U', alphabet_upper, alphabet_upper), ('V', 'v', alphabet_lower, alphabet_lower), ('v', 'V', alphabet_upper, alphabet_upper), ('V', 'v', alphabet_lower, alphabet_lower), ('v', 'V', alphabet_upper, alphabet_upper), ('W', 'w', alphabet_lower, alphabet_lower), ('w', 'W', alphabet_upper, alphabet_upper), ('X', 'x', alphabet_lower, alphabet_lower), ('x', 'X', alphabet_upper, alphabet_upper), ('Y', 'y', alphabet_lower, alphabet_lower), ('y', 'Y', alphabet_upper, alphabet_upper), ('Z', 'z', alphabet_lower, alphabet_lower), ('z', 'Z', alphabet_upper, alphabet_upper), ('十', '+', kigou, kigou), ('t', '+', kigou, kigou), ('メ', '+', kigou, kigou), ('+', '十', jyouyou_kanji, jyouyou_kanji), ('t', '十', jyouyou_kanji, jyouyou_kanji), ('メ', '十', jyouyou_kanji, jyouyou_kanji), ('+', 't', alphabet_lower+alphabet_upper, alphabet_lower), ('十', 't', alphabet_lower+alphabet_upper, alphabet_lower), ('メ', 'y', alphabet_lower+alphabet_upper, alphabet_lower), ('二', '=', kigou, kigou), ('ニ', '=', kigou, kigou), ('こ', '=', kigou, kigou), ('=', '二', jyouyou_kanji, jyouyou_kanji), ('=', 'ニ', katakana, katakana), ('=', 'こ', hiragana, hiragana), ('。', 'o', alphabet_lower+alphabet_upper, alphabet_lower), ('。', 'O', alphabet_upper, alphabet_upper), ('。', '0', numetric, numetric), ('o', '。', hiragana + katakana + jyouyou_kanji, None), ('O', '。', hiragana + katakana + jyouyou_kanji, None), ('0', '。', hiragana + katakana + jyouyou_kanji, None), ('2', 'っ', hiragana + jyouyou_kanji, ['た', 'ち', 'つ', 'て', 'と']), ('?', 'っ', hiragana + jyouyou_kanji, ['た', 'ち', 'つ', 'て', 'と']), ('つ', 'っ', hiragana + jyouyou_kanji, ['た', 'ち', 'つ', 'て', 'と']), ('ツ', 'ッ', katakana + jyouyou_kanji, ['タ', 'チ', 'ツ', 'テ', 'ト']), ('や', 'ゃ', ['き', 'し', 'ち', 'に', 'み', 'り', 'ぎ', 'ぢ', 'じ'], None), ('ゆ', 'ゅ', ['き', 'し', 'ち', 'に', 'み', 'り', 'ぎ', 'ぢ', 'じ'], None), ('よ', 'ょ', ['き', 'し', 'ち', 'に', 'み', 'り', 'ぎ', 'ぢ', 'じ'], None), ('ヤ', 'ャ', ['キ', 'シ', 'チ', 'ニ', 'ミ', 'リ', 'ギ', 'ヂ', 'ジ'], None), ('ユ', 'ュ', ['キ', 'シ', 'チ', 'ニ', 'ミ', 'リ', 'ギ', 'ヂ', 'ジ'], None), ('ヨ', 'ョ', ['キ', 'シ', 'チ', 'ニ', 'ミ', 'リ', 'ギ', 'ヂ', 'ジ'], None)]

61

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0.770292

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b34fbde2e6b2d38c2db36ca1c3b839a7216bdccf

1,788

py

Python

tablas.py

yakairi/Tienda.py

afc7c5734833e2974c0a6b9aceab1b7097db9add

[ "MIT" ]

null

tablas.py

yakairi/Tienda.py

afc7c5734833e2974c0a6b9aceab1b7097db9add

[ "MIT" ]

null

tablas.py

yakairi/Tienda.py

afc7c5734833e2974c0a6b9aceab1b7097db9add

[ "MIT" ]

null

# Tienda CREATE TABLE `cliente` ( `idCliente` int NOT NULL AUTO_INCREMENT, `nombre` varchar(45) DEFAULT NULL, `apellido` varchar(45) DEFAULT NULL, `telefono` varchar(45) DEFAULT NULL, `email` varchar(45) DEFAULT NULL, `ciudad` varchar(45) DEFAULT NULL, `pais` varchar(45) DEFAULT NULL, PRIMARY KEY (`idCliente`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; CREATE TABLE `departamento` ( `idDepartamento` INT NOT NULL AUTO_INCREMENT, `nombre` VARCHAR(45) NULL, PRIMARY KEY (`idDepartamento`) )ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; CREATE TABLE `empleado` ( `idEmpleado` int NOT NULL AUTO_INCREMENT, `nombre` varchar(45) DEFAULT NULL, `apellido` varchar(45) DEFAULT NULL, `fechaIngreso` date DEFAULT NULL, `fechaNacimiento` date DEFAULT NULL, `sexo` ENUM('hombre', 'mujer') DEFAULT NULL, `email` varchar(45) DEFAULT NULL, `telefono` varchar(45) DEFAULT NULL, `salario` decimal(10,2) DEFAULT NULL, `idDepartamento` int NULL, PRIMARY KEY (`idEmpleado`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; CREATE TABLE `categoria` ( `idCategoria` int NOT NULL AUTO_INCREMENT, `nombre` varchar(45) DEFAULT NULL, `descripcion` varchar(45) DEFAULT NULL, PRIMARY KEY (`idCategoria`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; CREATE TABLE `factura` ( `idFactura` int NOT NULL AUTO_INCREMENT, `fecha` datetime DEFAULT NULL, `idCliente` int DEFAULT NULL, `idEmpleado` int DEFAULT NULL, PRIMARY KEY (`idFactura`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4; CREATE TABLE `detalle_factura` ( `idDetalle` int NOT NULL AUTO_INCREMENT, `idFactura` int DEFAULT NULL, `idProducto` int DEFAULT NULL, `precioUnitario` decimal(10,2) DEFAULT NULL, `cantidad` int DEFAULT NULL, PRIMARY KEY (`idDetalle`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8mb4;

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0

null

0

1

0

null

0

1

0

2

b350585827e6f65d1b53d617dcc78e85b78cd6c3

398

py

Python

Python POO/Getters e Setters/exemplo02/pessoa.py

luccasocastro/Curso-Python

7ad2b980bb2f95f833811291273d6ca1beb0fe77

[ "MIT" ]

null

Python POO/Getters e Setters/exemplo02/pessoa.py

luccasocastro/Curso-Python

7ad2b980bb2f95f833811291273d6ca1beb0fe77

[ "MIT" ]

null

Python POO/Getters e Setters/exemplo02/pessoa.py

luccasocastro/Curso-Python

7ad2b980bb2f95f833811291273d6ca1beb0fe77

[ "MIT" ]

null

class Pessoa: #substantivo def __init__(self, nome: str, idade: int) -> None: self.nome = nome #substantivo self.idade = idade #substantivo def dirigir(self, veiculo: str) -> None: #verbos print(f'Dirigindo um(a) {veiculo}') def cantar(self) -> None: #verbos print('lalalala') def apresentar_idade(self) -> int: #verbos return self.idade

26.533333

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398

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null

0

null

0

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1

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2

b367137798db5a8033c70626264857c8575384f8

851

py

Python

account/urls.py

bopopescu/storyboard

0258fd6f80b6bbd9d0ca493cbaaae87c3a6d16e2

[ "MIT" ]

null

account/urls.py

bopopescu/storyboard

0258fd6f80b6bbd9d0ca493cbaaae87c3a6d16e2

[ "MIT" ]

null

account/urls.py

bopopescu/storyboard

0258fd6f80b6bbd9d0ca493cbaaae87c3a6d16e2

[ "MIT" ]

null

#!/usr/bin/env python # encoding: utf-8 """ urls.py Created by Darcy Liu on 2012-03-03. Copyright (c) 2012 Close To U. All rights reserved. """ from django.conf.urls import * from django.contrib.auth import views as auth_views urlpatterns = patterns('account.views', (r'^$','index'), (r'^signup$','signup'), (r'^signin$','signin'), (r'^signout$','signout'), (r'^logs$','logs'), (r'^avatar/(?P<username>\w+).png$','avatar'), (r'^custom_style$','custom_style'), (r'^password_change$', 'password_change'), (r'^password_change_done$', 'password_change_done'), (r'^password/change/$',auth_views.password_change), (r'^password/change/done/$',auth_views.password_change_done), (r'^password/$','index'), )

34.04

73

0.564042

101

851

4.613861

0.504951

0.240343

0.128755

0.098712

0.257511

0.141631

0

0.020093

0.239718

851

25

74

34.04

0.700155

0.156287

0

0.376056

0.105634

0

1

0

false

0.3125

0.125

0

0.125

0

null

1

0

null

0

1

0

2

2fa1d4df373d09a209451df383587b67198a18fa

438

py

Python

Study/src/com/company/test/favorite_languages.py

guptasuresh2004/python_handson

8f47784b09bddabd5ab28d38641cfca671869623

[ "MIT" ]

null

Study/src/com/company/test/favorite_languages.py

guptasuresh2004/python_handson

8f47784b09bddabd5ab28d38641cfca671869623

[ "MIT" ]

null

Study/src/com/company/test/favorite_languages.py

guptasuresh2004/python_handson

8f47784b09bddabd5ab28d38641cfca671869623

[ "MIT" ]

null

from collections import OrderedDict favorite_languages = OrderedDict() favorite_languages["Suresh"]="python" favorite_languages["Kumar"]="Java" favorite_languages["Gupta"]="c" for key in favorite_languages.keys(): print(key+" like to use :"+favorite_languages[key].title()) lang = {} lang["Suresh"]="python" lang["Kumar"]="Java" lang["Gupta"]="c" lang["1"]="2" for key in lang.keys(): print(key+" like to use :"+lang[key])

24.333333

63

0.694064

59

438

5.050847

0.40678

0.342282

0.187919

0.107383

0.14094

0

0.005155

0.114155

438

17

64

25.764706

0.762887

0

0.191781

0

1

0

false

0

0.071429

0

0.071429

0.142857

0

null

1

0

null

0

2

2fc259b569e3c130b039ed738e6f79be4ca77223

6,768

py

Python

pymap/bytes/__init__.py

BoniLindsley/pymap

b3190d20799a6d342888e51bfc55cdfcbfe3ed26

[ "MIT" ]

null

pymap/bytes/__init__.py

BoniLindsley/pymap

b3190d20799a6d342888e51bfc55cdfcbfe3ed26

[ "MIT" ]

null

pymap/bytes/__init__.py

BoniLindsley/pymap

b3190d20799a6d342888e51bfc55cdfcbfe3ed26

[ "MIT" ]

null

"""Defines useful types and utilities for working with bytestrings.""" from __future__ import annotations import zlib from abc import abstractmethod, ABCMeta from collections.abc import Iterable, Sequence from io import BytesIO from itertools import chain from typing import cast, final, Any, Final, TypeVar, SupportsBytes, Union, \ Protocol __all__ = ['MaybeBytes', 'MaybeBytesT', 'WriteStream', 'Writeable', 'BytesFormat'] #: A bytes object, memoryview, or an object with a ``__bytes__`` method. MaybeBytes = Union[bytes, bytearray, memoryview, SupportsBytes] #: A type variable bound to :class:`MaybeBytes`. MaybeBytesT = TypeVar('MaybeBytesT', bound=MaybeBytes) _FormatArg = Union[MaybeBytes, int] class WriteStream(Protocol): """Typing protocol indicating the object implements the :meth:`.write` method. See Also: :class:`~asyncio.StreamWriter`, :class:`~typing.BinaryIO` """ @abstractmethod def write(self, data: bytes) -> Any: """Defines an abstract method where ``data`` is written to a stream or buffer. Args: data: The data to write. """ ... class HashStream(WriteStream): """A stream that a :class:`Writeable` can use to generate a non-cryptographic hash using :func:`zlib.adler32`. """ __slots__ = ['_digest'] def __init__(self) -> None: super().__init__() self._digest = zlib.adler32(b'') def write(self, data: bytes) -> None: self._digest = zlib.adler32(data, self._digest) def digest(self, data: Writeable = None) -> bytes: """Return the digest of the data written to the hash stream. Args: data: The data to write before computing the digest. """ if data is not None: data.write(self) return self._digest.to_bytes(4, 'big') class Writeable(metaclass=ABCMeta): """Base class for types that can be written to a stream.""" __slots__: Sequence[str] = [] @final def tobytes(self) -> bytes: """Convert the writeable object back into a bytestring using the :meth:`.write` method. """ writer = BytesIO() self.write(writer) return writer.getvalue() @classmethod def empty(cls) -> Writeable: """Return a :class:`Writeable` for an empty string.""" return _EmptyWriteable() @classmethod def wrap(cls, data: MaybeBytes) -> Writeable: """Wrap the bytes in a :class:`Writeable`. Args: data: The object to wrap. """ return _WrappedWriteable(data) @classmethod def concat(cls, data: Iterable[MaybeBytes]) -> Writeable: """Wrap the iterable in a :class:`Writeable` that will write each item. Args: data: The iterable to wrap. """ return _ConcatWriteable(data) def write(self, writer: WriteStream) -> None: """Write the object to the stream, with one or more calls to :meth:`~WriteStream.write`. Args: writer: The output stream. """ writer.write(bytes(self)) def __bool__(self) -> bool: return True def __len__(self) -> int: return len(bytes(self)) @abstractmethod def __bytes__(self) -> bytes: ... class _EmptyWriteable(Writeable): __slots__: Sequence[str] = [] def write(self, writer: WriteStream) -> None: pass def __bytes__(self) -> bytes: return b'' def __repr__(self) -> str: return '<Writeable empty>' class _WrappedWriteable(Writeable): __slots__ = ['data'] def __init__(self, data: MaybeBytes) -> None: if isinstance(data, bytes): self.data = data else: self.data = bytes(data) def __bytes__(self) -> bytes: return self.data def __repr__(self) -> str: return f'<Writeable {repr(self.data)}>' class _ConcatWriteable(Writeable): __slots__ = ['data'] def __init__(self, data: Iterable[MaybeBytes]) -> None: self.data = list(data) def write(self, writer: WriteStream) -> None: for item in self.data: if isinstance(item, Writeable): item.write(writer) else: writer.write(bytes(item)) def __bytes__(self) -> bytes: return BytesFormat(b'').join(self.data) def __repr__(self) -> str: return f'<Writeable {repr(self.data)}>' class BytesFormat: """Helper utility for performing formatting operations that produce bytestrings. While similar to the builtin formatting and join operations, this class intends to provide cleaner typing. Args: how: The formatting string or join delimiter to use. """ __slots__ = ['how'] def __init__(self, how: bytes) -> None: super().__init__() self.how: Final = how def __mod__(self, other: Union[_FormatArg, Iterable[_FormatArg]]) -> bytes: """String interpolation, shortcut for :meth:`.format`. Args: other: The data interpolated into the format string. """ if isinstance(other, bytes): return self.format([other]) elif hasattr(other, '__bytes__'): supports_bytes = cast(SupportsBytes, other) return self.format([bytes(supports_bytes)]) elif hasattr(other, '__iter__'): items = cast(Iterable[_FormatArg], other) return self.format(items) return NotImplemented @classmethod def _fix_format_arg(cls, data: _FormatArg) -> Any: if isinstance(data, int): return data else: return bytes(data) def format(self, data: Iterable[_FormatArg]) -> bytes: """String interpolation into the format string. Args: data: The data interpolated into the format string. Examples: :: BytesFormat(b'Hello, %b!') % b'World' BytesFormat(b'%b, %b!') % (b'Hello', b'World') """ fix_arg = self._fix_format_arg return self.how % tuple(fix_arg(item) for item in data) @classmethod def _fix_join_arg(cls, data: _FormatArg) -> Any: if isinstance(data, int): return b'%d' % data else: return bytes(data) def join(self, *data: Iterable[_FormatArg]) -> bytes: """Iterable join on a delimiter. Args: data: Iterable of items to join. Examples: :: BytesFormat(b' ').join([b'one', b'two', b'three']) """ fix_arg = self._fix_join_arg return self.how.join(fix_arg(item) for item in chain(*data))

25.73384

79

0.599143

760

6,768

5.143421

0.227632

0.030698

0.015349

0.017396

0.214377

0.150166

0.107444

0.052187

0

0.001453

0.288121

6,768

262

80

25.832061

0.80988

0.283245

0

0.294118

0

0.040217

0

1

0.235294

false

0.008403

0.058824

0.067227

0.596639

0

null

0

null

0

1

0

1

0

2

2fc47242aa3943850747abcba7e7e472c1fce0f5

113

py

Python

_solutions/pandas/dataframe/pandas_df_sample_a.py

sages-pl/2022-01-pythonsqlalchemy-aptiv

1d6d856608e9dbe25b139e8968c48b7f46753b84

[ "MIT" ]

null

_solutions/pandas/dataframe/pandas_df_sample_a.py

sages-pl/2022-01-pythonsqlalchemy-aptiv

1d6d856608e9dbe25b139e8968c48b7f46753b84

[ "MIT" ]

null

_solutions/pandas/dataframe/pandas_df_sample_a.py

sages-pl/2022-01-pythonsqlalchemy-aptiv

1d6d856608e9dbe25b139e8968c48b7f46753b84

[ "MIT" ]

null

df = pd.read_csv(DATA) df = df.sample(frac=1.0) df.reset_index(drop=True, inplace=True) result = df.tail(n=10)

16.142857

39

0.699115

23

113

3.347826

0.782609

0

0.04

0.115044

113

6

40

18.833333

0.73

0

1

0

false

0

1

0

null

0

1

0

null

0

2

2fc5eb9ac5bb61a25a0a92e01993111c6aae7c68

967

py

Python

coursework1/task6/reducer.py

foundnet/UOE_EP_coursework1

25ab8ff2beaa4fbde5a0d4519abb84d8e43cf9d8

[ "Apache-2.0" ]

null

coursework1/task6/reducer.py

foundnet/UOE_EP_coursework1

25ab8ff2beaa4fbde5a0d4519abb84d8e43cf9d8

[ "Apache-2.0" ]

null

coursework1/task6/reducer.py

foundnet/UOE_EP_coursework1

25ab8ff2beaa4fbde5a0d4519abb84d8e43cf9d8

[ "Apache-2.0" ]

null

#!/usr/bin/python import sys import math prev_key = "" hresult = 0.0 totalcnt = 0 cntlist = [] for line in sys.stdin: key,info = line.strip().split("\t",1) if key != prev_key: if prev_key != "": hresult = 0.0 cntlist = strinfo.split(",") cntlist = map(int,cntlist) totalcnt = sum(cntlist) for v in cntlist: hresult = hresult - float(v) / totalcnt *\ math.log(float(v)/totalcnt,2) print "%s\t%f"%(prev_key,hresult) prev_key = key strinfo = info.strip() else: strinfo = strinfo + "," + info.strip() if prev_key != "": hresult = 0.0 cntlist = strinfo.split(",") cntlist = map(int,cntlist) totalcnt = sum(cntlist) for v in cntlist: hresult = hresult - float(v) / totalcnt *\ math.log(float(v)/totalcnt,2) print "%s\t%f"%(prev_key,hresult)

25.447368

64

0.511892

118

967

4.135593

0.288136

0.10041

0.143443

0.092213

0.688525

0.655738

0

0.015848

0.347466

967

37

65

26.135135

0.757528

0.016546

0

0.612903

0

0.017895

0

null

0

0.064516

null

0.064516

0

null

0

1

0

null

0

1

0

2

2fd399ef21d1427fd4d75eb210dc4fb1e1e0b5ec

152

py

Python

Exercicios/Todos/ex049.py

Edson921/exerciciosResolvidos

72a3089f4848650c62ac0dd876abf5695a64525a

[ "MIT" ]

null

Exercicios/Todos/ex049.py

Edson921/exerciciosResolvidos

72a3089f4848650c62ac0dd876abf5695a64525a

[ "MIT" ]

null

Exercicios/Todos/ex049.py

Edson921/exerciciosResolvidos

72a3089f4848650c62ac0dd876abf5695a64525a

[ "MIT" ]

null

#Calculadora de tabuada n = int(input('Deseja ver tabuada de que numero?')) for c in range(1, 13): print('{} X {:2}= {} '. format(n, c, n * c))

30.4

51

0.572368

26

152

3.346154

0.769231

0.045977

0

0.033898

0.223684

152

5

52

30.4

0.70339

0.144737

0

0.361538

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

2fd4591d238347442d7ceffec0998337ad85bf70

362

py

Python

rede/eevc/models/RegistroTotalizadorMatriz.py

marcioinfo/edi_reader

9d19cb3fa462c4eb91a0a2f983e12e3de1b596eb

[ "MIT" ]

null

rede/eevc/models/RegistroTotalizadorMatriz.py

marcioinfo/edi_reader

9d19cb3fa462c4eb91a0a2f983e12e3de1b596eb

[ "MIT" ]

null

rede/eevc/models/RegistroTotalizadorMatriz.py

marcioinfo/edi_reader

9d19cb3fa462c4eb91a0a2f983e12e3de1b596eb

[ "MIT" ]

null

COLUMNS = [ 'tipo_registro', 'nro_pv_matriz', 'vl_total_bruto', 'qtde_cvnsu', 'vl_total_rejeitado', 'vl_total_rotativo', 'vl_total_parcelado_sem_juros', 'vl_total_parcelado_iata', 'vl_total_dolar', 'vl_total_desconto', 'vl_total_liquido', 'vl_total_gorjeta', 'vl_total_tx_embarque', 'qtde_cvnsu_acatados' ]

22.625

35

0.676796

45

362

4.777778

0.533333

0.325581

0.148837

0

0.201657

362

16

36

22.625

0.743945

0

0.655647

0.140496

0

1

0

false

0

null

1

0

1

0

null

0

2

2fe058dd084d71d3320c034887d2a6bdbc3b3c7b

322

py

Python

basic_ml/notebooks/numpy/performance_test.py

jmetzz/ml-laboratory

26b1e87bd0d80efa4f15280f7f32ad46d59efc1f

[ "MIT" ]

1

2021-09-10T16:55:35.000Z

basic_ml/notebooks/numpy/performance_test.py

jmetzz/ml-laboratory

26b1e87bd0d80efa4f15280f7f32ad46d59efc1f

[ "MIT" ]

14

2022-03-12T01:06:08.000Z

2022-03-30T14:30:22.000Z

basic_ml/notebooks/numpy/performance_test.py

jmetzz/ml-laboratory

26b1e87bd0d80efa4f15280f7f32ad46d59efc1f

[ "MIT" ]

null

import numpy as np # Create an array with 10^7 elements arr = np.arange(1e7) # Converting ndarray to list larr = arr.tolist() def list_times(alist, scalar): return [val * scalar for val in alist] # Using IPython's magic # timeit command timeit arr * 1.1 # timeit list_times(larr, 1.1) # box(x, y){line=snake}

15.333333

42

0.692547

55

322

4.018182

0.727273

0.081448

0

0.034884

0.198758

322

20

43

16.1

0.821705

0.515528

0

1

0.2

false

0

0.2

0.6

0

null

0

null

0

1

0

2

641df5fb5db24eb21cd2895f9c79ad3ad2b58d9b

321

py

Python

src/mars_profiling/__init__.py

wjsi/mars-profiling

1accb00c90da67b46ad98ea1592fecc524625454

[ "MIT" ]

1

2021-01-21T09:11:58.000Z

src/mars_profiling/__init__.py

wjsi/mars-profiling

1accb00c90da67b46ad98ea1592fecc524625454

[ "MIT" ]

null

src/mars_profiling/__init__.py

wjsi/mars-profiling

1accb00c90da67b46ad98ea1592fecc524625454

[ "MIT" ]

1

2020-12-30T08:32:29.000Z

"""Main module of pandas-profiling. .. include:: ../../README.md """ from mars_profiling.config import Config, config from mars_profiling.controller import pandas_decorator from mars_profiling.profile_report import ProfileReport from mars_profiling.version import __version__ clear_config = ProfileReport.clear_config

26.75

55

0.82243

40

321

6.3

0.475

0.126984

0.269841

0

0.096573

321

11

56

29.181818

0.868966

0.193146

0

1

0

false

0

0.8

0

0.8

0

null

0

1

0

null

0

1

0

2

642258fc8f2651e821a5bcb66a823371ffdb8d3d

213

py

Python

C1.py

dpocheng/SIMPLESEM-Compiler-Semantic

9725968a4d8a78ed95e617ad3dbcdb4fc41bd53d

[ "Apache-2.0" ]

null

C1.py

dpocheng/SIMPLESEM-Compiler-Semantic

9725968a4d8a78ed95e617ad3dbcdb4fc41bd53d

[ "Apache-2.0" ]

null

C1.py

dpocheng/SIMPLESEM-Compiler-Semantic

9725968a4d8a78ed95e617ad3dbcdb4fc41bd53d

[ "Apache-2.0" ]

null

a, b, c = 3, 1, -1 def main(): global a, b while a > c: if a == 0: print b else: b = b + a a = a - 1 print a print b print c main()

15.214286

22

0.328638

33

213

2.121212

0.393939

0.057143

0

0.054348

0.568075

213

13

23

16.384615

0.706522

0

0.153846

0

null

0

null

0.307692

0

null

0

1

0

null

0

1

0

2

642d2e7d44ed6fcd127074d651ed9e62d6aa3d5f

450

py

Python

33-inheritance.py

MKen212/pymosh

6db31f181081baf3e4cc3d7228a3480b16bd3cda

[ "MIT" ]

null

33-inheritance.py

MKen212/pymosh

6db31f181081baf3e4cc3d7228a3480b16bd3cda

[ "MIT" ]

null

33-inheritance.py

MKen212/pymosh

6db31f181081baf3e4cc3d7228a3480b16bd3cda

[ "MIT" ]

null

class Mammal: x = 10 def walk(self): print("Walking") # class Dog: # def walk(self): # print("Walking") # class Cat: # def walk(self): # print("Walking") class Dog(Mammal): def bark(self): print("Woof, woof!") class Cat(Mammal): pass # Just used here as Python does not like empty classes. Pass just passes... rover = Dog() print(rover.x) rover.bark() fluffy = Cat() fluffy.walk()

13.636364

85

0.575556

60

450

4.316667

0.45

0.138996

0.127413

0.185328

0.34749

0.239382

0

0.006154

0.277778

450

32

86

14.0625

0.790769

0.411111

0

0.070588

0

1

0.142857

false

0.071429

0

0.428571

0.214286

0

null

0

1

0

null

0

1

0

2

6438cc3d752def2341c27211310e7e6e164ba110

1,242

py

Python

travel_blog/blog/models.py

kennethlove/travel_blog_livestream

a6bc74e99b4922b5ac0d3a8ed0f2d5dbebde6fd2

[ "MIT" ]

2

2016-12-17T02:56:22.000Z

2017-07-19T05:13:59.000Z

travel_blog/blog/models.py

kennethlove/travel_blog_livestream

a6bc74e99b4922b5ac0d3a8ed0f2d5dbebde6fd2

[ "MIT" ]

null

travel_blog/blog/models.py

kennethlove/travel_blog_livestream

a6bc74e99b4922b5ac0d3a8ed0f2d5dbebde6fd2

[ "MIT" ]

1

2018-12-19T06:34:37.000Z

from django.contrib.gis.db import models from django.core.urlresolvers import reverse from django.utils import timezone import markdown class Post(models.Model): title = models.CharField(max_length=255) slug = models.SlugField() content = models.TextField() content_html = models.TextField(editable=False) created_at = models.DateTimeField(auto_now_add=True) updated_at = models.DateTimeField(auto_now=True) published_at = models.DateTimeField(default=timezone.now) coords = models.PointField(blank=True, null=True) class Meta: ordering = ['-published_at', '-id'] def __str__(self): return self.title def save(self, *args, **kwargs): self.content_html = markdown.markdown(self.content) super().save(*args, **kwargs) def get_absolute_url(self): return reverse('blog:detail', kwargs={'slug': self.slug}) @property def latlng(self): return (self.coords[1], self.coords[0]) class Image(models.Model): upload = models.ImageField(upload_to='posts/images/') description = models.TextField(blank=True, default='') post = models.ForeignKey(Post, related_name='images') def __str__(self): return self.description

28.883721

65

0.694042

153

1,242

5.490196

0.470588

0.047619

0.075

0.059524

0.114286

0

0.004931

0.183575

1,242

42

66

29.571429

0.823471

0

0.064516

0

0.040258

0

1

0.16129

false

0

0.129032

0.870968

0

null

0

null

0

1

0

2

ff3c1fbbadea09a6b0eb293f80eec2bc2157f2ee

692

py

Python

guest/models.py

TylerBackman/chemminetools

1896c2dd7362f44193528aef028390543a125921

[ "BSD-4-Clause-UC" ]

16

2015-03-24T18:34:18.000Z

2018-04-11T06:02:52.000Z

guest/models.py

zagrosman/chemminetools

1896c2dd7362f44193528aef028390543a125921

[ "BSD-4-Clause-UC" ]

60

2019-01-03T18:15:55.000Z

2022-03-12T00:14:59.000Z

guest/models.py

zagrosman/chemminetools

1896c2dd7362f44193528aef028390543a125921

[ "BSD-4-Clause-UC" ]

13

2018-04-25T18:25:09.000Z

2022-02-14T08:15:03.000Z

import datetime from django.db import models from django.contrib.auth.models import User from django.contrib.sessions.models import Session class Guest(models.Model): """ A temporary user. Fields: ``user`` - The temporary user. ``last_used`` - The last time we noted this user doing something. All users with a record in this model are temporary and should be deleted after GUEST_DELETE_TIME. """ user = models.ForeignKey(User,on_delete=models.CASCADE) last_used = models.DateTimeField(User) @classmethod def create_guest(self, user): guest = Guest(user=user, last_used=datetime.datetime.now()) return guest

24.714286

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null

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null

0

1

0

1

0

2

ff3fe555e0f853acd0d7022e07b47e9bc456ae3d

323

py

Python

tests/client/test_get_balance.py

kanzure/eth-testrpc

cbb22ff2bebc9f12098b0bb7f2a245f3510522b4

[ "MIT" ]

164

2016-04-20T08:30:22.000Z

2022-01-05T07:43:12.000Z

tests/client/test_get_balance.py

kanzure/eth-testrpc

cbb22ff2bebc9f12098b0bb7f2a245f3510522b4

[ "MIT" ]

55

2016-06-30T20:06:56.000Z

2019-12-12T07:36:02.000Z

tests/client/test_get_balance.py

kanzure/eth-testrpc

cbb22ff2bebc9f12098b0bb7f2a245f3510522b4

[ "MIT" ]

46

2016-04-27T16:28:46.000Z

2022-01-09T17:59:09.000Z

def test_deploying_contract(client, hex_accounts): pre_balance = client.get_balance(hex_accounts[1]) client.send_transaction( _from=hex_accounts[0], to=hex_accounts[1], value=1234, ) post_balance = client.get_balance(hex_accounts[1]) assert post_balance - pre_balance == 1234

24.846154

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42

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0.263158

0.172249

0.220096

0.334928

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0.20743

323

12

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26.916667

0.769531

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null

1

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null

0

2

ff54be97770be18ceff808d68e4d32c92c411113

2,411

py

Python

tests/saliency_tests/visualizer_tests/test_mol_visualizer.py

k-ishiguro/chainer-chemistry

aec33496def16e76bdfbefa508ba01ab9f79a592

[ "MIT" ]

1

2019-06-19T00:05:59.000Z

tests/saliency_tests/visualizer_tests/test_mol_visualizer.py

k-ishiguro/chainer-chemistry

aec33496def16e76bdfbefa508ba01ab9f79a592

[ "MIT" ]

null

tests/saliency_tests/visualizer_tests/test_mol_visualizer.py

k-ishiguro/chainer-chemistry

aec33496def16e76bdfbefa508ba01ab9f79a592

[ "MIT" ]

1

2020-10-12T07:23:44.000Z

import os import numpy import pytest from rdkit import Chem from chainer_chemistry.saliency.visualizer.mol_visualizer import MolVisualier # NOQA from chainer_chemistry.saliency.visualizer.mol_visualizer import SmilesVisualizer # NOQA def test_mol_visualizer(tmpdir): # Only test file is saved without error smiles = 'OCO' mol = Chem.MolFromSmiles(smiles) saliency = numpy.array([0.5, 0.3, 0.2]) visualizer = MolVisualier() # 1. test with setting save_filepath save_filepath = os.path.join(str(tmpdir), 'tmp.svg') visualizer.visualize(saliency, mol, save_filepath=save_filepath) assert os.path.exists(save_filepath) # 2. test with `save_filepath=None` runs without error visualizer.visualize( saliency, mol, save_filepath=None, visualize_ratio=0.5,) def test_smiles_visualizer(tmpdir): # Only test file is saved without error smiles = 'OCO' saliency = numpy.array([0.5, 0.3, 0.2]) visualizer = SmilesVisualizer() # 1. test with setting save_filepath save_filepath = os.path.join(str(tmpdir), 'tmp.svg') visualizer.visualize(saliency, smiles, save_filepath=save_filepath, add_Hs=False) assert os.path.exists(save_filepath) save_filepath = os.path.join(str(tmpdir), 'tmp.png') visualizer.visualize(saliency, smiles, save_filepath=save_filepath, add_Hs=False) # TODO(nakago): support png save test. # Do not test for now (cairosvg is necessary) # assert os.path.exists(save_filepath) # 2. test with `save_filepath=None` runs without error visualizer.visualize( saliency, smiles, save_filepath=None, visualize_ratio=0.5, add_Hs=False, use_canonical_smiles=True) def test_mol_visualizer_assert_raises(tmpdir): visualizer = MolVisualier() smiles = 'OCO' mol = Chem.MolFromSmiles(smiles) with pytest.raises(ValueError): # --- Invalid saliency shape --- saliency = numpy.array([[0.5, 0.3, 0.2], [0.5, 0.3, 0.2]]) visualizer.visualize(saliency, mol) with pytest.raises(ValueError): # --- Invalid sort key --- saliency = numpy.array([0.5, 0.3, 0.2]) invalid_ext_filepath = os.path.join(str(tmpdir), 'tmp.hoge') visualizer.visualize(saliency, mol, save_filepath=invalid_ext_filepath) if __name__ == '__main__': pytest.main([__file__, '-v', '-s'])

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2,411

5.063291

0.243671

0.1425

0.118125

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0.445625

0

0.01972

0.200747

2,411

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0.209302

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null

0

1

0

null

0

1

0

2

ff586db231494de039c35a8707572150023a7b03

971

py

Python

crawlers/news/items.py

Ceruleanacg/rena

eb651b7e4d8d8db0ca87e1415a5c9190abb346d2

[ "MIT" ]

7

2018-04-01T16:07:31.000Z

2018-07-01T10:33:26.000Z

crawlers/news/items.py

Ceruleanacg/rena

eb651b7e4d8d8db0ca87e1415a5c9190abb346d2

[ "MIT" ]

null

crawlers/news/items.py

Ceruleanacg/rena

eb651b7e4d8d8db0ca87e1415a5c9190abb346d2

[ "MIT" ]

1

2016-02-04T20:33:06.000Z

# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html from scrapy import Item, Field from scrapy.loader.processors import TakeFirst, Join class NewsItem(Item): url = Field( output_processor=TakeFirst() ) type = Field( output_processor=TakeFirst() ) source = Field( output_processor=TakeFirst() ) title = Field( output_processor=TakeFirst() ) article = Field( output_processor=TakeFirst() ) create_date = Field( output_processor=TakeFirst() ) image_urls = Field() class SinaCaptchaItem(Item): image_urls = Field() images = Field() class SinaStarItem(Item): name = Field( output_processor=TakeFirst() ) avatar_url = Field( output_processor=TakeFirst() ) weibo_url = Field( output_processor=TakeFirst() )

16.741379

52

0.625129

100

971

5.93

0.49

0.166948

0.303541

0.440135

0.161889

0

0.001414

0.271885

971

58

53

16.741379

0.837341

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0.314286

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0

0.485714

0

null

0

1

0

null

0

2

ff687b565ac41fe08f64ade140dd3095099140f5

30,770

py

Python

math/tests/testcases.py

fuz-woo/gpython

06dadad26f41e35b57c144ffdac01fb3f23977e9

[ "BSD-3-Clause" ]

520

2018-08-21T19:28:23.000Z

2022-03-30T21:26:10.000Z

math/tests/testcases.py

fuz-woo/gpython

06dadad26f41e35b57c144ffdac01fb3f23977e9

[ "BSD-3-Clause" ]

165

2018-08-22T07:54:29.000Z

2022-03-31T20:34:21.000Z

math/tests/testcases.py

fuz-woo/gpython

06dadad26f41e35b57c144ffdac01fb3f23977e9

[ "BSD-3-Clause" ]

84

2018-08-27T03:29:09.000Z

2022-03-15T23:19:13.000Z

# Copyright 2018 The go-python Authors. All rights reserved. # Use of this source code is governed by a BSD-style # license that can be found in the LICENSE file. # Testcases for functions in math. # # Each line takes the form: # # <testid> <function> <input_value> -> <output_value> <flags> # # where: # # <testid> is a short name identifying the test, # # <function> is the function to be tested (exp, cos, asinh, ...), # # <input_value> is a string representing a floating-point value # # <output_value> is the expected (ideal) output value, again # represented as a string. # # <flags> is a list of the floating-point flags required by C99 # # The possible flags are: # # divide-by-zero : raised when a finite input gives a # mathematically infinite result. # # overflow : raised when a finite input gives a finite result that # is too large to fit in the usual range of an IEEE 754 double. # # invalid : raised for invalid inputs (e.g., sqrt(-1)) # # ignore-sign : indicates that the sign of the result is # unspecified; e.g., if the result is given as inf, # then both -inf and inf should be accepted as correct. # # Flags may appear in any order. # # Lines beginning with '--' (like this one) start a comment, and are # ignored. Blank lines, or lines containing only whitespace, are also # ignored. # Many of the values below were computed with the help of # version 2.4 of the MPFR library for multiple-precision # floating-point computations with correct rounding. All output # values in this file are (modulo yet-to-be-discovered bugs) # correctly rounded, provided that each input and output decimal # floating-point value below is interpreted as a representation of # the corresponding nearest IEEE 754 double-precision value. See the # MPFR homepage at http://www.mpfr.org for more information about the # MPFR project. import math from libtest import * from libulp import * doc="testcases" inf = float("inf") nan = float("nan") def tolerance(a, b, e): """Return if a-b is within tolerance e""" d = a - b if d < 0: d = -d if a != 0: e = e * a if e < 0: e = -e return d <= e def acc_check(what, want, got, rel_err=2e-15, abs_err = 5e-323): """Determine whether non-NaN floats a and b are equal to within a (small) rounding error. The default values for rel_err and abs_err are chosen to be suitable for platforms where a float is represented by an IEEE 754 double. They allow an error of between 9 and 19 ulps.""" # need to special case infinities, since inf - inf gives nan if math.isinf(want) and got == want: return error = got - want permitted_error = rel_err * abs(want) if abs_err > permitted_error: permitted_error = abs_err if abs(error) < permitted_error: return raise AssertionError("%s: want %g, got %g: error = %g; permitted error = %g" % (what, want, got, error, permitted_error)) def t(name, fn, x, want, exc=None): global doc doc = name if exc is None: got = fn(x) if math.isnan(want) and math.isnan(got): return if want == inf and got == inf: return if want == -inf and got == -inf: return if fn == math.lgamma: # we use a weaker accuracy test for lgamma; # lgamma only achieves an absolute error of # a few multiples of the machine accuracy, in # general. acc_check(doc, want, got, rel_err = 5e-15, abs_err = 5e-15) elif fn == math.erfc: # erfc has less-than-ideal accuracy for large # arguments (x ~ 25 or so), mainly due to the # error involved in computing exp(-x*x). # # XXX Would be better to weaken this test only # for large x, instead of for all x. ulps_check(doc, want, got, 2000) else: ulps_check(doc, want, got, 20) else: try: got = fn(x) except exc as e: pass else: assert False, "%s not raised" % exc # # erf: error function -- # t("erf0000", math.erf, 0.0, 0.0) t("erf0001", math.erf, -0.0, -0.0) t("erf0002", math.erf, inf, 1.0) t("erf0003", math.erf, -inf, -1.0) t("erf0004", math.erf, nan, nan) # tiny values t("erf0010", math.erf, 1e-308, 1.1283791670955125e-308) t("erf0011", math.erf, 5e-324, 4.9406564584124654e-324) t("erf0012", math.erf, 1e-10, 1.1283791670955126e-10) # small integers t("erf0020", math.erf, 1, 0.84270079294971489) t("erf0021", math.erf, 2, 0.99532226501895271) t("erf0022", math.erf, 3, 0.99997790950300136) t("erf0023", math.erf, 4, 0.99999998458274209) t("erf0024", math.erf, 5, 0.99999999999846256) t("erf0025", math.erf, 6, 1.0) t("erf0030", math.erf, -1, -0.84270079294971489) t("erf0031", math.erf, -2, -0.99532226501895271) t("erf0032", math.erf, -3, -0.99997790950300136) t("erf0033", math.erf, -4, -0.99999998458274209) t("erf0034", math.erf, -5, -0.99999999999846256) t("erf0035", math.erf, -6, -1.0) # huge values should all go to +/-1, depending on sign t("erf0040", math.erf, -40, -1.0) t("erf0041", math.erf, 1e16, 1.0) t("erf0042", math.erf, -1e150, -1.0) t("erf0043", math.erf, 1.7e308, 1.0) # Issue 8986: inputs x with exp(-x*x) near the underflow threshold # incorrectly signalled overflow on some platforms. t("erf0100", math.erf, 26.2, 1.0) t("erf0101", math.erf, 26.4, 1.0) t("erf0102", math.erf, 26.6, 1.0) t("erf0103", math.erf, 26.8, 1.0) t("erf0104", math.erf, 27.0, 1.0) t("erf0105", math.erf, 27.2, 1.0) t("erf0106", math.erf, 27.4, 1.0) t("erf0107", math.erf, 27.6, 1.0) t("erf0110", math.erf, -26.2, -1.0) t("erf0111", math.erf, -26.4, -1.0) t("erf0112", math.erf, -26.6, -1.0) t("erf0113", math.erf, -26.8, -1.0) t("erf0114", math.erf, -27.0, -1.0) t("erf0115", math.erf, -27.2, -1.0) t("erf0116", math.erf, -27.4, -1.0) t("erf0117", math.erf, -27.6, -1.0) # # erfc: complementary error function -- # t("erfc0000", math.erfc, 0.0, 1.0) t("erfc0001", math.erfc, -0.0, 1.0) t("erfc0002", math.erfc, inf, 0.0) t("erfc0003", math.erfc, -inf, 2.0) t("erfc0004", math.erfc, nan, nan) # tiny values t("erfc0010", math.erfc, 1e-308, 1.0) t("erfc0011", math.erfc, 5e-324, 1.0) t("erfc0012", math.erfc, 1e-10, 0.99999999988716204) # small integers t("erfc0020", math.erfc, 1, 0.15729920705028513) t("erfc0021", math.erfc, 2, 0.0046777349810472662) t("erfc0022", math.erfc, 3, 2.2090496998585441e-05) t("erfc0023", math.erfc, 4, 1.541725790028002e-08) t("erfc0024", math.erfc, 5, 1.5374597944280349e-12) t("erfc0025", math.erfc, 6, 2.1519736712498913e-17) t("erfc0030", math.erfc, -1, 1.8427007929497148) t("erfc0031", math.erfc, -2, 1.9953222650189528) t("erfc0032", math.erfc, -3, 1.9999779095030015) t("erfc0033", math.erfc, -4, 1.9999999845827421) t("erfc0034", math.erfc, -5, 1.9999999999984626) t("erfc0035", math.erfc, -6, 2.0) # as x -> infinity, erfc(x) behaves like exp(-x*x)/x/sqrt(pi) t("erfc0040", math.erfc, 20, 5.3958656116079012e-176) t("erfc0041", math.erfc, 25, 8.3001725711965228e-274) # FIXME(underflows to 0) t("erfc0042", math.erfc, 27, 5.2370464393526292e-319) t("erfc0043", math.erfc, 28, 0.0) # huge values t("erfc0050", math.erfc, -40, 2.0) t("erfc0051", math.erfc, 1e16, 0.0) t("erfc0052", math.erfc, -1e150, 2.0) t("erfc0053", math.erfc, 1.7e308, 0.0) # Issue 8986: inputs x with exp(-x*x) near the underflow threshold # incorrectly signalled overflow on some platforms. t("erfc0100", math.erfc, 26.2, 1.6432507924389461e-300) t("erfc0101", math.erfc, 26.4, 4.4017768588035426e-305) t("erfc0102", math.erfc, 26.6, 1.0885125885442269e-309) # FIXME(underflows to 0) t("erfc0103", math.erfc, 26.8, 2.4849621571966629e-314) # FIXME(underflows to 0) t("erfc0104", math.erfc, 27.0, 5.2370464393526292e-319) # FIXME(underflows to 0) t("erfc0105", math.erfc, 27.2, 9.8813129168249309e-324) t("erfc0106", math.erfc, 27.4, 0.0) t("erfc0107", math.erfc, 27.6, 0.0) t("erfc0110", math.erfc, -26.2, 2.0) t("erfc0111", math.erfc, -26.4, 2.0) t("erfc0112", math.erfc, -26.6, 2.0) t("erfc0113", math.erfc, -26.8, 2.0) t("erfc0114", math.erfc, -27.0, 2.0) t("erfc0115", math.erfc, -27.2, 2.0) t("erfc0116", math.erfc, -27.4, 2.0) t("erfc0117", math.erfc, -27.6, 2.0) # # lgamma: log of absolute value of the gamma function -- # # special values t("lgam0000", math.lgamma, 0.0, inf, ValueError) t("lgam0001", math.lgamma, -0.0, inf, ValueError) t("lgam0002", math.lgamma, inf, inf) # FIXME(ValueError) t("lgam0003", math.lgamma, -inf, inf) t("lgam0004", math.lgamma, nan, nan) # negative integers t("lgam0010", math.lgamma, -1, inf, ValueError) t("lgam0011", math.lgamma, -2, inf, ValueError) t("lgam0012", math.lgamma, -1e16, inf, ValueError) t("lgam0013", math.lgamma, -1e300, inf, ValueError) t("lgam0014", math.lgamma, -1.79e308, inf, ValueError) # small positive integers give factorials t("lgam0020", math.lgamma, 1, 0.0) t("lgam0021", math.lgamma, 2, 0.0) t("lgam0022", math.lgamma, 3, 0.69314718055994529) t("lgam0023", math.lgamma, 4, 1.791759469228055) t("lgam0024", math.lgamma, 5, 3.1780538303479458) t("lgam0025", math.lgamma, 6, 4.7874917427820458) # half integers t("lgam0030", math.lgamma, 0.5, 0.57236494292470008) t("lgam0031", math.lgamma, 1.5, -0.12078223763524522) t("lgam0032", math.lgamma, 2.5, 0.28468287047291918) t("lgam0033", math.lgamma, 3.5, 1.2009736023470743) t("lgam0034", math.lgamma, -0.5, 1.2655121234846454) t("lgam0035", math.lgamma, -1.5, 0.86004701537648098) t("lgam0036", math.lgamma, -2.5, -0.056243716497674054) t("lgam0037", math.lgamma, -3.5, -1.309006684993042) # values near 0 t("lgam0040", math.lgamma, 0.1, 2.252712651734206) t("lgam0041", math.lgamma, 0.01, 4.5994798780420219) t("lgam0042", math.lgamma, 1e-8, 18.420680738180209) t("lgam0043", math.lgamma, 1e-16, 36.841361487904734) t("lgam0044", math.lgamma, 1e-30, 69.077552789821368) t("lgam0045", math.lgamma, 1e-160, 368.41361487904732) # FIXME(inaccurate) t("lgam0046", math.lgamma, 1e-308, 709.19620864216608) # FIXME(inaccurate) t("lgam0047", math.lgamma, 5.6e-309, 709.77602713741896) # FIXME(inaccurate) t("lgam0048", math.lgamma, 5.5e-309, 709.79404564292167) # FIXME(inaccurate) t("lgam0049", math.lgamma, 1e-309, 711.49879373516012) # FIXME(inaccurate) t("lgam0050", math.lgamma, 1e-323, 743.74692474082133) # FIXME(inaccurate) t("lgam0051", math.lgamma, 5e-324, 744.44007192138122) t("lgam0060", math.lgamma, -0.1, 2.3689613327287886) t("lgam0061", math.lgamma, -0.01, 4.6110249927528013) t("lgam0062", math.lgamma, -1e-8, 18.420680749724522) t("lgam0063", math.lgamma, -1e-16, 36.841361487904734) t("lgam0064", math.lgamma, -1e-30, 69.077552789821368) t("lgam0065", math.lgamma, -1e-160, 368.41361487904732) # FIXME(inaccurate) t("lgam0066", math.lgamma, -1e-308, 709.19620864216608) # FIXME(inaccurate) t("lgam0067", math.lgamma, -5.6e-309, 709.77602713741896) # FIXME(inaccurate) t("lgam0068", math.lgamma, -5.5e-309, 709.79404564292167) # FIXME(inaccurate) t("lgam0069", math.lgamma, -1e-309, 711.49879373516012) # FIXME(inaccurate) t("lgam0070", math.lgamma, -1e-323, 743.74692474082133) # FIXME(inaccurate) t("lgam0071", math.lgamma, -5e-324, 744.44007192138122) # values near negative integers t("lgam0080", math.lgamma, -0.99999999999999989, 36.736800569677101) t("lgam0081", math.lgamma, -1.0000000000000002, 36.043653389117154) t("lgam0082", math.lgamma, -1.9999999999999998, 35.350506208557213) t("lgam0083", math.lgamma, -2.0000000000000004, 34.657359027997266) t("lgam0084", math.lgamma, -100.00000000000001, -331.85460524980607) t("lgam0085", math.lgamma, -99.999999999999986, -331.85460524980596) # large inputs t("lgam0100", math.lgamma, 170, 701.43726380873704) t("lgam0101", math.lgamma, 171, 706.57306224578736) t("lgam0102", math.lgamma, 171.624, 709.78077443669895) t("lgam0103", math.lgamma, 171.625, 709.78591682948365) t("lgam0104", math.lgamma, 172, 711.71472580228999) t("lgam0105", math.lgamma, 2000, 13198.923448054265) t("lgam0106", math.lgamma, 2.55998332785163e305, 1.7976931348623099e+308) t("lgam0107", math.lgamma, 2.55998332785164e305, inf, OverflowError) t("lgam0108", math.lgamma, 1.7e308, inf, OverflowError) # inputs for which gamma(x) is tiny t("lgam0120", math.lgamma, -100.5, -364.90096830942736) t("lgam0121", math.lgamma, -160.5, -656.88005261126432) t("lgam0122", math.lgamma, -170.5, -707.99843314507882) t("lgam0123", math.lgamma, -171.5, -713.14301641168481) t("lgam0124", math.lgamma, -176.5, -738.95247590846486) t("lgam0125", math.lgamma, -177.5, -744.13144651738037) t("lgam0126", math.lgamma, -178.5, -749.3160351186001) t("lgam0130", math.lgamma, -1000.5, -5914.4377011168517) t("lgam0131", math.lgamma, -30000.5, -279278.6629959144) # FIXME t("lgam0132", math.lgamma, -4503599627370495.5, -1.5782258434492883e+17) # results close to 0: positive argument ... t("lgam0150", math.lgamma, 0.99999999999999989, 6.4083812134800075e-17) t("lgam0151", math.lgamma, 1.0000000000000002, -1.2816762426960008e-16) t("lgam0152", math.lgamma, 1.9999999999999998, -9.3876980655431170e-17) t("lgam0153", math.lgamma, 2.0000000000000004, 1.8775396131086244e-16) # ... and negative argument # these are very inaccurate in python3 t("lgam0160", math.lgamma, -2.7476826467, -5.2477408147689136e-11) t("lgam0161", math.lgamma, -2.457024738, 3.3464637541912932e-10) # # gamma: Gamma function -- # # special values t("gam0000", math.gamma, 0.0, inf, ValueError) t("gam0001", math.gamma, -0.0, -inf, ValueError) t("gam0002", math.gamma, inf, inf) t("gam0003", math.gamma, -inf, nan, ValueError) t("gam0004", math.gamma, nan, nan) # negative integers inputs are invalid t("gam0010", math.gamma, -1, nan, ValueError) t("gam0011", math.gamma, -2, nan, ValueError) t("gam0012", math.gamma, -1e16, nan, ValueError) t("gam0013", math.gamma, -1e300, nan, ValueError) # small positive integers give factorials t("gam0020", math.gamma, 1, 1) t("gam0021", math.gamma, 2, 1) t("gam0022", math.gamma, 3, 2) t("gam0023", math.gamma, 4, 6) t("gam0024", math.gamma, 5, 24) t("gam0025", math.gamma, 6, 120) # half integers t("gam0030", math.gamma, 0.5, 1.7724538509055161) t("gam0031", math.gamma, 1.5, 0.88622692545275805) t("gam0032", math.gamma, 2.5, 1.3293403881791370) t("gam0033", math.gamma, 3.5, 3.3233509704478426) t("gam0034", math.gamma, -0.5, -3.5449077018110322) t("gam0035", math.gamma, -1.5, 2.3632718012073548) t("gam0036", math.gamma, -2.5, -0.94530872048294190) t("gam0037", math.gamma, -3.5, 0.27008820585226911) # values near 0 t("gam0040", math.gamma, 0.1, 9.5135076986687306) t("gam0041", math.gamma, 0.01, 99.432585119150602) t("gam0042", math.gamma, 1e-8, 99999999.422784343) t("gam0043", math.gamma, 1e-16, 10000000000000000) t("gam0044", math.gamma, 1e-30, 9.9999999999999988e+29) t("gam0045", math.gamma, 1e-160, 1.0000000000000000e+160) t("gam0046", math.gamma, 1e-308, 1.0000000000000000e+308) t("gam0047", math.gamma, 5.6e-309, 1.7857142857142848e+308) t("gam0048", math.gamma, 5.5e-309, inf, OverflowError) t("gam0049", math.gamma, 1e-309, inf, OverflowError) t("gam0050", math.gamma, 1e-323, inf, OverflowError) t("gam0051", math.gamma, 5e-324, inf, OverflowError) t("gam0060", math.gamma, -0.1, -10.686287021193193) t("gam0061", math.gamma, -0.01, -100.58719796441078) t("gam0062", math.gamma, -1e-8, -100000000.57721567) t("gam0063", math.gamma, -1e-16, -10000000000000000) t("gam0064", math.gamma, -1e-30, -9.9999999999999988e+29) t("gam0065", math.gamma, -1e-160, -1.0000000000000000e+160) t("gam0066", math.gamma, -1e-308, -1.0000000000000000e+308) t("gam0067", math.gamma, -5.6e-309, -1.7857142857142848e+308) t("gam0068", math.gamma, -5.5e-309, -inf, OverflowError) t("gam0069", math.gamma, -1e-309, -inf, OverflowError) t("gam0070", math.gamma, -1e-323, -inf, OverflowError) t("gam0071", math.gamma, -5e-324, -inf, OverflowError) # values near negative integers t("gam0080", math.gamma, -0.99999999999999989, -9007199254740992.0) t("gam0081", math.gamma, -1.0000000000000002, 4503599627370495.5) t("gam0082", math.gamma, -1.9999999999999998, 2251799813685248.5) t("gam0083", math.gamma, -2.0000000000000004, -1125899906842623.5) t("gam0084", math.gamma, -100.00000000000001, -7.5400833348831090e-145) t("gam0085", math.gamma, -99.999999999999986, 7.5400833348840962e-145) # large inputs t("gam0100", math.gamma, 170, 4.2690680090047051e+304) t("gam0101", math.gamma, 171, 7.2574156153079990e+306) # FIXME(overflows) t("gam0102", math.gamma, 171.624, 1.7942117599248104e+308) t("gam0103", math.gamma, 171.625, inf, OverflowError) t("gam0104", math.gamma, 172, inf, OverflowError) t("gam0105", math.gamma, 2000, inf, OverflowError) t("gam0106", math.gamma, 1.7e308, inf, OverflowError) # inputs for which gamma(x) is tiny t("gam0120", math.gamma, -100.5, -3.3536908198076787e-159) t("gam0121", math.gamma, -160.5, -5.2555464470078293e-286) t("gam0122", math.gamma, -170.5, -3.3127395215386074e-308) # Reported as https://github.com/golang/go/issues/11441 # FIXME(overflows) t("gam0123", math.gamma, -171.5, 1.9316265431711902e-310) # FIXME(overflows) t("gam0124", math.gamma, -176.5, -1.1956388629358166e-321) # FIXME(overflows) t("gam0125", math.gamma, -177.5, 4.9406564584124654e-324) # FIXME(overflows) t("gam0126", math.gamma, -178.5, -0.0) # FIXME(overflows) t("gam0127", math.gamma, -179.5, 0.0) # FIXME(overflows) t("gam0128", math.gamma, -201.0001, 0.0) # FIXME(overflows) t("gam0129", math.gamma, -202.9999, -0.0) # FIXME(overflows) t("gam0130", math.gamma, -1000.5, -0.0) # FIXME(overflows) t("gam0131", math.gamma, -1000000000.3, -0.0) # FIXME(overflows) t("gam0132", math.gamma, -4503599627370495.5, 0.0) # inputs that cause problems for the standard reflection formula, # thanks to loss of accuracy in 1-x t("gam0140", math.gamma, -63.349078729022985, 4.1777971677761880e-88) t("gam0141", math.gamma, -127.45117632943295, 1.1831110896236810e-214) # # log1p: log(1 + x), without precision loss for small x -- # # special values t("log1p0000", math.log1p, 0.0, 0.0) t("log1p0001", math.log1p, -0.0, -0.0) t("log1p0002", math.log1p, inf, inf) t("log1p0003", math.log1p, -inf, nan, ValueError) t("log1p0004", math.log1p, nan, nan) # singularity at -1.0 t("log1p0010", math.log1p, -1.0, -inf, ValueError) t("log1p0011", math.log1p, -0.9999999999999999, -36.736800569677101) # finite values < 1.0 are invalid t("log1p0020", math.log1p, -1.0000000000000002, nan, ValueError) t("log1p0021", math.log1p, -1.1, nan, ValueError) t("log1p0022", math.log1p, -2.0, nan, ValueError) t("log1p0023", math.log1p, -1e300, nan, ValueError) # tiny x: log1p(x) ~ x t("log1p0110", math.log1p, 5e-324, 5e-324) t("log1p0111", math.log1p, 1e-320, 1e-320) t("log1p0112", math.log1p, 1e-300, 1e-300) t("log1p0113", math.log1p, 1e-150, 1e-150) t("log1p0114", math.log1p, 1e-20, 1e-20) t("log1p0120", math.log1p, -5e-324, -5e-324) t("log1p0121", math.log1p, -1e-320, -1e-320) t("log1p0122", math.log1p, -1e-300, -1e-300) t("log1p0123", math.log1p, -1e-150, -1e-150) t("log1p0124", math.log1p, -1e-20, -1e-20) # some (mostly) random small and moderate-sized values t("log1p0200", math.log1p, -0.89156889782277482, -2.2216403106762863) t("log1p0201", math.log1p, -0.23858496047770464, -0.27257668276980057) t("log1p0202", math.log1p, -0.011641726191307515, -0.011710021654495657) t("log1p0203", math.log1p, -0.0090126398571693817, -0.0090534993825007650) t("log1p0204", math.log1p, -0.00023442805985712781, -0.00023445554240995693) t("log1p0205", math.log1p, -1.5672870980936349e-5, -1.5672993801662046e-5) t("log1p0206", math.log1p, -7.9650013274825295e-6, -7.9650330482740401e-6) t("log1p0207", math.log1p, -2.5202948343227410e-7, -2.5202951519170971e-7) t("log1p0208", math.log1p, -8.2446372820745855e-11, -8.2446372824144559e-11) t("log1p0209", math.log1p, -8.1663670046490789e-12, -8.1663670046824230e-12) t("log1p0210", math.log1p, 7.0351735084656292e-18, 7.0351735084656292e-18) t("log1p0211", math.log1p, 5.2732161907375226e-12, 5.2732161907236188e-12) t("log1p0212", math.log1p, 1.0000000000000000e-10, 9.9999999995000007e-11) t("log1p0213", math.log1p, 2.1401273266000197e-9, 2.1401273243099470e-9) t("log1p0214", math.log1p, 1.2668914653979560e-8, 1.2668914573728861e-8) t("log1p0215", math.log1p, 1.6250007816299069e-6, 1.6249994613175672e-6) t("log1p0216", math.log1p, 8.3740495645839399e-6, 8.3740145024266269e-6) t("log1p0217", math.log1p, 3.0000000000000001e-5, 2.9999550008999799e-5) t("log1p0218", math.log1p, 0.0070000000000000001, 0.0069756137364252423) t("log1p0219", math.log1p, 0.013026235315053002, 0.012942123564008787) t("log1p0220", math.log1p, 0.013497160797236184, 0.013406885521915038) t("log1p0221", math.log1p, 0.027625599078135284, 0.027250897463483054) t("log1p0222", math.log1p, 0.14179687245544870, 0.13260322540908789) # large values t("log1p0300", math.log1p, 1.7976931348623157e+308, 709.78271289338397) t("log1p0301", math.log1p, 1.0000000000000001e+300, 690.77552789821368) t("log1p0302", math.log1p, 1.0000000000000001e+70, 161.18095650958321) t("log1p0303", math.log1p, 10000000000.000000, 23.025850930040455) # other values transferred from testLog1p in test_math t("log1p0400", math.log1p, -0.63212055882855767, -1.0000000000000000) t("log1p0401", math.log1p, 1.7182818284590451, 1.0000000000000000) t("log1p0402", math.log1p, 1.0000000000000000, 0.69314718055994529) t("log1p0403", math.log1p, 1.2379400392853803e+27, 62.383246250395075) # # expm1: exp(x) - 1, without precision loss for small x -- # # special values t("expm10000", math.expm1, 0.0, 0.0) t("expm10001", math.expm1, -0.0, -0.0) t("expm10002", math.expm1, inf, inf) t("expm10003", math.expm1, -inf, -1.0) t("expm10004", math.expm1, nan, nan) # expm1(x) ~ x for tiny x t("expm10010", math.expm1, 5e-324, 5e-324) t("expm10011", math.expm1, 1e-320, 1e-320) t("expm10012", math.expm1, 1e-300, 1e-300) t("expm10013", math.expm1, 1e-150, 1e-150) t("expm10014", math.expm1, 1e-20, 1e-20) t("expm10020", math.expm1, -5e-324, -5e-324) t("expm10021", math.expm1, -1e-320, -1e-320) t("expm10022", math.expm1, -1e-300, -1e-300) t("expm10023", math.expm1, -1e-150, -1e-150) t("expm10024", math.expm1, -1e-20, -1e-20) # moderate sized values, where direct evaluation runs into trouble t("expm10100", math.expm1, 1e-10, 1.0000000000500000e-10) t("expm10101", math.expm1, -9.9999999999999995e-08, -9.9999995000000163e-8) t("expm10102", math.expm1, 3.0000000000000001e-05, 3.0000450004500034e-5) t("expm10103", math.expm1, -0.0070000000000000001, -0.0069755570667648951) t("expm10104", math.expm1, -0.071499208740094633, -0.069002985744820250) t("expm10105", math.expm1, -0.063296004180116799, -0.061334416373633009) t("expm10106", math.expm1, 0.02390954035597756, 0.024197665143819942) t("expm10107", math.expm1, 0.085637352649044901, 0.089411184580357767) t("expm10108", math.expm1, 0.5966174947411006, 0.81596588596501485) t("expm10109", math.expm1, 0.30247206212075139, 0.35319987035848677) t("expm10110", math.expm1, 0.74574727375889516, 1.1080161116737459) t("expm10111", math.expm1, 0.97767512926555711, 1.6582689207372185) t("expm10112", math.expm1, 0.8450154566787712, 1.3280137976535897) t("expm10113", math.expm1, -0.13979260323125264, -0.13046144381396060) t("expm10114", math.expm1, -0.52899322039643271, -0.41080213643695923) t("expm10115", math.expm1, -0.74083261478900631, -0.52328317124797097) t("expm10116", math.expm1, -0.93847766984546055, -0.60877704724085946) t("expm10117", math.expm1, 10.0, 22025.465794806718) t("expm10118", math.expm1, 27.0, 532048240600.79865) t("expm10119", math.expm1, 123, 2.6195173187490626e+53) t("expm10120", math.expm1, -12.0, -0.99999385578764666) t("expm10121", math.expm1, -35.100000000000001, -0.99999999999999944) # extreme negative values t("expm10201", math.expm1, -37.0, -0.99999999999999989) t("expm10200", math.expm1, -38.0, -1.0) # FIXME(overflows) t("expm10210", math.expm1, -710.0, -1.0) # the formula expm1(x) = 2 * sinh(x/2) * exp(x/2) doesn't work so # well when exp(x/2) is subnormal or underflows to zero; check we're # not using it! # Reported as https://github.com/golang/go/issues/11442 # FIXME(overflows) t("expm10211", math.expm1, -1420.0, -1.0) # FIXME(overflows) t("expm10212", math.expm1, -1450.0, -1.0) # FIXME(overflows) t("expm10213", math.expm1, -1500.0, -1.0) # FIXME(overflows) t("expm10214", math.expm1, -1e50, -1.0) # FIXME(overflows) t("expm10215", math.expm1, -1.79e308, -1.0) # extreme positive values # FIXME(fails on 32 bit) t("expm10300", math.expm1, 300, 1.9424263952412558e+130) # FIXME(fails on 32 bit) t("expm10301", math.expm1, 700, 1.0142320547350045e+304) # the next test (expm10302) is disabled because it causes failure on # OS X 10.4/Intel: apparently all values over 709.78 produce an # overflow on that platform. See issue #7575. # expm10302 expm1 709.78271289328393 -> 1.7976931346824240e+308 t("expm10303", math.expm1, 709.78271289348402, inf, OverflowError) t("expm10304", math.expm1, 1000, inf, OverflowError) t("expm10305", math.expm1, 1e50, inf, OverflowError) t("expm10306", math.expm1, 1.79e308, inf, OverflowError) # weaker version of expm10302 # FIXME(fails on 32 bit) t("expm10307", math.expm1, 709.5, 1.3549863193146328e+308) # # log2: log to base 2 -- # # special values t("log20000", math.log2, 0.0, -inf, ValueError) t("log20001", math.log2, -0.0, -inf, ValueError) t("log20002", math.log2, inf, inf) t("log20003", math.log2, -inf, nan, ValueError) t("log20004", math.log2, nan, nan) # exact value at 1.0 t("log20010", math.log2, 1.0, 0.0) # negatives t("log20020", math.log2, -5e-324, nan, ValueError) t("log20021", math.log2, -1.0, nan, ValueError) t("log20022", math.log2, -1.7e-308, nan, ValueError) # exact values at powers of 2 t("log20100", math.log2, 2.0, 1.0) t("log20101", math.log2, 4.0, 2.0) t("log20102", math.log2, 8.0, 3.0) t("log20103", math.log2, 16.0, 4.0) t("log20104", math.log2, 32.0, 5.0) t("log20105", math.log2, 64.0, 6.0) t("log20106", math.log2, 128.0, 7.0) t("log20107", math.log2, 256.0, 8.0) t("log20108", math.log2, 512.0, 9.0) t("log20109", math.log2, 1024.0, 10.0) t("log20110", math.log2, 2048.0, 11.0) t("log20200", math.log2, 0.5, -1.0) t("log20201", math.log2, 0.25, -2.0) t("log20202", math.log2, 0.125, -3.0) t("log20203", math.log2, 0.0625, -4.0) # values close to 1.0 # FIXME(inaccurate) t("log20300", math.log2, 1.0000000000000002, 3.2034265038149171e-16) # FIXME(inaccurate) t("log20301", math.log2, 1.0000000001, 1.4426951601859516e-10) # FIXME(inaccurate) t("log20302", math.log2, 1.00001, 1.4426878274712997e-5) t("log20310", math.log2, 0.9999999999999999, -1.6017132519074588e-16) t("log20311", math.log2, 0.9999999999, -1.4426951603302210e-10) t("log20312", math.log2, 0.99999, -1.4427022544056922e-5) # tiny values t("log20400", math.log2, 5e-324, -1074.0) t("log20401", math.log2, 1e-323, -1073.0) t("log20402", math.log2, 1.5e-323, -1072.4150374992789) t("log20403", math.log2, 2e-323, -1072.0) t("log20410", math.log2, 1e-308, -1023.1538532253076) t("log20411", math.log2, 2.2250738585072014e-308, -1022.0) t("log20412", math.log2, 4.4501477170144028e-308, -1021.0) t("log20413", math.log2, 1e-307, -1019.8319251304202) # huge values t("log20500", math.log2, 1.7976931348623157e+308, 1024.0) t("log20501", math.log2, 1.7e+308, 1023.9193879716706) t("log20502", math.log2, 8.9884656743115795e+307, 1023.0) # selection of random values t("log20600", math.log2, -7.2174324841039838e+289, nan, ValueError) t("log20601", math.log2, -2.861319734089617e+265, nan, ValueError) t("log20602", math.log2, -4.3507646894008962e+257, nan, ValueError) t("log20603", math.log2, -6.6717265307520224e+234, nan, ValueError) t("log20604", math.log2, -3.9118023786619294e+229, nan, ValueError) t("log20605", math.log2, -1.5478221302505161e+206, nan, ValueError) t("log20606", math.log2, -1.4380485131364602e+200, nan, ValueError) t("log20607", math.log2, -3.7235198730382645e+185, nan, ValueError) t("log20608", math.log2, -1.0472242235095724e+184, nan, ValueError) t("log20609", math.log2, -5.0141781956163884e+160, nan, ValueError) t("log20610", math.log2, -2.1157958031160324e+124, nan, ValueError) t("log20611", math.log2, -7.9677558612567718e+90, nan, ValueError) t("log20612", math.log2, -5.5553906194063732e+45, nan, ValueError) t("log20613", math.log2, -16573900952607.953, nan, ValueError) t("log20614", math.log2, -37198371019.888618, nan, ValueError) t("log20615", math.log2, -6.0727115121422674e-32, nan, ValueError) t("log20616", math.log2, -2.5406841656526057e-38, nan, ValueError) t("log20617", math.log2, -4.9056766703267657e-43, nan, ValueError) t("log20618", math.log2, -2.1646786075228305e-71, nan, ValueError) t("log20619", math.log2, -2.470826790488573e-78, nan, ValueError) t("log20620", math.log2, -3.8661709303489064e-165, nan, ValueError) t("log20621", math.log2, -1.0516496976649986e-182, nan, ValueError) t("log20622", math.log2, -1.5935458614317996e-255, nan, ValueError) t("log20623", math.log2, -2.8750977267336654e-293, nan, ValueError) t("log20624", math.log2, -7.6079466794732585e-296, nan, ValueError) t("log20625", math.log2, 3.2073253539988545e-307, -1018.1505544209213) t("log20626", math.log2, 1.674937885472249e-244, -809.80634755783126) t("log20627", math.log2, 1.0911259044931283e-214, -710.76679472274213) t("log20628", math.log2, 2.0275372624809709e-154, -510.55719818383272) t("log20629", math.log2, 7.3926087369631841e-115, -379.13564735312292) t("log20630", math.log2, 1.3480198206342423e-86, -285.25497445094436) t("log20631", math.log2, 8.9927384655719947e-83, -272.55127136401637) t("log20632", math.log2, 3.1452398713597487e-60, -197.66251564496875) t("log20633", math.log2, 7.0706573215457351e-55, -179.88420087782217) t("log20634", math.log2, 3.1258285390731669e-49, -161.13023800505653) t("log20635", math.log2, 8.2253046627829942e-41, -133.15898277355879) t("log20636", math.log2, 7.8691367397519897e+49, 165.75068202732419) t("log20637", math.log2, 2.9920561983925013e+64, 214.18453534573757) t("log20638", math.log2, 4.7827254553946841e+77, 258.04629628445673) t("log20639", math.log2, 3.1903566496481868e+105, 350.47616767491166) t("log20640", math.log2, 5.6195082449502419e+113, 377.86831861008250) t("log20641", math.log2, 9.9625658250651047e+125, 418.55752921228753) t("log20642", math.log2, 2.7358945220961532e+145, 483.13158636923413) t("log20643", math.log2, 2.785842387926931e+174, 579.49360214860280) t("log20644", math.log2, 2.4169172507252751e+193, 642.40529039289652) t("log20645", math.log2, 3.1689091206395632e+205, 682.65924573798395) t("log20646", math.log2, 2.535995592365391e+208, 692.30359597460460) t("log20647", math.log2, 6.2011236566089916e+233, 776.64177576730913) t("log20648", math.log2, 2.1843274820677632e+253, 841.57499717289647) t("log20649", math.log2, 8.7493931063474791e+297, 989.74182713073981) doc="finished"

43.034965

125

0.70819

4,612

30,770

4.719861

0.28144

0.033444

0.023153

0.008085

0.17953

0.153804

0.119166

0.065968

0.049798

0.022234

0

0.370685

0.11599

30,770

714

126

43.095238

0.42958

0.249041

0

0.022624

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0.002262

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0.001401

0.004525

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0.006787

false

0.002262

0.006787

0

0.027149

0

null

0

1

0

1

0

null

0

2

ff88e0f5ccecc3c701f512768bb897a2dfbe68cb

1,035

py

Python

sis-api/test/bdd/steps/membership.serialization.py

maxbilbow/7054CEM-sis

1c5067c9afc38e340fcce046048f8ae21d267365

[ "MIT" ]

null

sis-api/test/bdd/steps/membership.serialization.py

maxbilbow/7054CEM-sis

1c5067c9afc38e340fcce046048f8ae21d267365

[ "MIT" ]

null

sis-api/test/bdd/steps/membership.serialization.py

maxbilbow/7054CEM-sis

1c5067c9afc38e340fcce046048f8ae21d267365

[ "MIT" ]

null

from datetime import date from behave import * from core.model import to_dict from core.model.membership import Membership from core.model.membership_type import MembershipType from core.utils.serialization import serialize use_step_matcher("re") @when("a serialized membership is requested") def step_impl(context): """ :type context: behave.runner.Context """ context.dict = serialize(context.membership).for_api() @given("a membership is created with date (?P<date_string>.+)") def step_impl(context, date_string: str): """ :type context: behave.runner.Context :type date: str """ date_obj = date.fromisoformat(date_string) context.membership = Membership(id=1, user_id=1,start_date=date_obj, end_date=date_obj, type=MembershipType.Smart) @then("the dates are converted to ISO date format (?P<date_string>.+)") def step_impl(context, date_string: str): """ :type context: behave.runner.Context :type date: str """ assert context.dict["start_date"] == date_string

27.236842

118

0.72657

142

1,035

5.147887

0.366197

0.082079

0.053352

0.073871

0.268126

0.227086

0

0.002291

0.156522

1,035

37

119

27.972973

0.835052

0.137198

0

0.117647

0

0.194279

0

0.058824

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0.176471

false

0

0.352941

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0.529412

0

null

0

null

0

1

0

1

0

2

ffb515697db4de0f590ab614acfa4b387f024c15

482

py

Python

io_scene_vrm/editor/extension.py

989onan/VRM_Addon_for_Blender

af894a87bdf2bc02b69842c6de082f097f1e0939

[ "MIT" ]

344

2021-02-09T15:06:26.000Z

2022-03-31T07:13:40.000Z

io_scene_vrm/editor/extension.py

989onan/VRM_Addon_for_Blender

af894a87bdf2bc02b69842c6de082f097f1e0939

[ "MIT" ]

47

2021-02-06T23:44:43.000Z

2022-03-22T21:45:21.000Z

io_scene_vrm/editor/extension.py

989onan/VRM_Addon_for_Blender

af894a87bdf2bc02b69842c6de082f097f1e0939

[ "MIT" ]

44

2021-02-21T14:15:38.000Z

2022-03-31T01:53:12.000Z

import bpy from .vrm0.property_group import Vrm0PropertyGroup class VrmAddonArmatureExtensionPropertyGroup(bpy.types.PropertyGroup): # type: ignore[misc] addon_version: bpy.props.IntVectorProperty( # type: ignore[valid-type] size=3 # noqa: F722 ) vrm0: bpy.props.PointerProperty( # type: ignore[valid-type] name="VRM 0.x", type=Vrm0PropertyGroup # noqa: F722 ) armature_data_name: bpy.props.StringProperty() # type: ignore[valid-type]

30.125

92

0.715768

55

482

6.2

0.563636

0.117302

0.131965

0.167155

0

0.030227

0.176349

482

15

93

32.133333

0.828715

0.238589

0

0.019444

0

1

0

true

0

0.2

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0.6

0

null

0

1

0

null

0

1

0

2

44155aabada0f13fedb7c839b6f8e15ee94c7153

327

py

Python

gz.17zwd.com/17wang.py

zzh-python/all-project

915a47fb42d63ff3a36814992283c2f4ed8703a3

[ "Apache-2.0" ]

58

2019-03-01T08:15:19.000Z

2022-03-28T03:16:17.000Z

gz.17zwd.com/17wang.py

zzh-python/all-project

915a47fb42d63ff3a36814992283c2f4ed8703a3

[ "Apache-2.0" ]

2

2020-06-08T08:07:46.000Z

2020-11-02T11:48:05.000Z

gz.17zwd.com/17wang.py

zzh-python/all-project

915a47fb42d63ff3a36814992283c2f4ed8703a3

[ "Apache-2.0" ]

37

2019-02-26T23:30:08.000Z

2022-01-27T05:10:18.000Z

from bs4 import BeautifulSoup import requests import csv import sys from urllib.error import HTTPError sys.path.append("..") import mytemp import time import json url='https://gz.17zwd.com/api/shop/get-list/73' resp=requests.get(url) f=open('17wang.txt','w+',encoding='utf-8') f.write(resp.text) print(resp.text)

21.8

48

0.730887

53

327

4.509434

0.698113

0.066946

0

0.027875

0.122324

327

15

49

21.8

0.804878

0

0.191083

0

1

0

false

0

0.571429

0

0.571429

0.071429

0

null

0

null

0

1

0

1

0

2

4453e7148b48df800b321d8e53272108159d1a65

346

py

Python

login.py

kepler0301/test_git

22b42b627b26224fff0bef29e43937b6a08c968a

[ "MIT" ]

1

2018-12-27T12:58:46.000Z

login.py

kepler0301/test_git

22b42b627b26224fff0bef29e43937b6a08c968a

[ "MIT" ]

null

login.py

kepler0301/test_git

22b42b627b26224fff0bef29e43937b6a08c968a

[ "MIT" ]

null

print('helo world') <<<<<<< HEAD from flask import Flask app = Flask(__name__) def index(): return 'hello world' id __name__ == '__main__' app.run() ======= from flask import Flask app = Flask(__name__) @app/route('/') def index(): return 'hello world' >>>>>>> b644c89d3eb5e1fcd31fedf63470ab57d597d9dd print('bey') num1 = 40

13.307692

48

0.647399

40

346

5.2

0.525

0.086538

0.144231

0.192308

0.538462

0.307692

0

0.084507

0.179191

346

25

49

13.84

0.647887

0

0.470588

0

0.127168

0

null

0

0.117647

null

0.117647

0

null

0

1

0

null

0

1

0

2

4457c61974adf6ea23263c3521814d88592f3989

198

py

Python

translateSfw.py

tkarabela/translate-swf

4756079294de9faa55d95b320d9b8a5ae6c40104

[ "MIT" ]

1

2022-03-15T21:44:50.000Z

translateSfw.py

tkarabela/translate-swf

4756079294de9faa55d95b320d9b8a5ae6c40104

[ "MIT" ]

null

translateSfw.py

tkarabela/translate-swf

4756079294de9faa55d95b320d9b8a5ae6c40104

[ "MIT" ]

null

#!/usr/bin/env python3 import pyTranslateSwf import sys def main(): cli = pyTranslateSwf.PyTranslateSwfCLI() return cli.run(sys.argv[1:]) if __name__ == '__main__': sys.exit(main())

15.230769

44

0.681818

25

198

5.08

0.72

0

0.012195

0.171717

198

12

45

16.5

0.762195

0.106061

0

0.045455

0

1

0.142857

false

0

0.285714

0

0.571429

0

1

0

null

0

null

0

1

0

2

44588a8251975fab2aceaf05fcf35cad8b89e5fe

656

py

Python

GT/GT_app/models.py

10K-Linesofcode/Glowing-Tribble

be0e17ce5391b589792e4ae6b02156d7ee4ce145

[ "MIT" ]

null

GT/GT_app/models.py

10K-Linesofcode/Glowing-Tribble

be0e17ce5391b589792e4ae6b02156d7ee4ce145

[ "MIT" ]

null

GT/GT_app/models.py

10K-Linesofcode/Glowing-Tribble

be0e17ce5391b589792e4ae6b02156d7ee4ce145

[ "MIT" ]

null

from __future__ import unicode_literals from django.db import models # Create your models here. class Topic(models.Model): top_name= models.CharField(max_length=264,unique=True) def __str__(self): return self.top_name class Webpage(models.Model): topic=models.ForeignKey(Topic,on_delete=models.DO_NOTHING) name=models.CharField(max_length=264,unique=True) url=models.URLField(unique=True) def __str__(self): return self.name class AccessRecord(models.Model): name=models.ForeignKey(Webpage,on_delete=models.DO_NOTHING) date = models.DateField() def __str__(self): return str(self.date)

22.62069

63

0.731707

89

656

5.11236

0.41573

0.061538

0.065934

0.105495

0.391209

0.29011

0.18022

0

0.010989

0.167683

656

28

64

23.428571

0.822344

0.036585

0

0.176471

0

1

0.176471

false

0

0.117647

0.176471

1

0

null

0

null

0

1

0

2

4461eff877eb304b062070484689204017151234

150

py

Python

A/A 1030 In Search of an Easy Problem.py

zielman/Codeforces-solutions

636f11a9eb10939d09d2e50ddc5ec53327d0b7ab

[ "MIT" ]

null

A/A 1030 In Search of an Easy Problem.py

zielman/Codeforces-solutions

636f11a9eb10939d09d2e50ddc5ec53327d0b7ab

[ "MIT" ]

1

2021-05-05T17:05:03.000Z

A/A 1030 In Search of an Easy Problem.py

zielman/Codeforces-solutions

636f11a9eb10939d09d2e50ddc5ec53327d0b7ab

[ "MIT" ]

null

# https://codeforces.com/problemset/problem/1030/A n = int(input()) o = list(map(int, input().split())) print('HARD' if o.count(1) != 0 else 'EASY')

25

50

0.646667

25

150

3.88

0.88

0.164948

0

0.045113

0.113333

150

6

51

25

0.684211

0.32

0

0.079208

0

1

0

false

0

0.333333

1

0

null

0

1

0

null

0

2

44631cbd82bde4053d51f4b0bd82dc77e1e5e801

1,290

py

Python

diplomacy_research/models/gym/__init__.py

wwongkamjan/dipnet_press

787263c1b9484698904f525c8d78d0e333e1c0d9

[ "MIT" ]

39

2019-09-06T13:42:24.000Z

2022-03-18T18:38:43.000Z

diplomacy_research/models/gym/__init__.py

wwongkamjan/dipnet_press

787263c1b9484698904f525c8d78d0e333e1c0d9

[ "MIT" ]

9

2019-09-19T22:35:32.000Z

2022-02-24T18:04:57.000Z

diplomacy_research/models/gym/__init__.py

wwongkamjan/dipnet_press

787263c1b9484698904f525c8d78d0e333e1c0d9

[ "MIT" ]

8

2019-10-16T21:09:14.000Z

2022-02-23T05:20:37.000Z

# ============================================================================== # Copyright 2019 - Philip Paquette # # NOTICE: Permission is hereby granted, free of charge, to any person obtaining # a copy of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation the # rights to use, copy, modify, merge, publish, distribute, sublicense, and/or # sell copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in all # copies or substantial portions of the Software. # ============================================================================== """ OpenAI Gym integration modules """ import warnings from gym.envs.registration import register from diplomacy_research.models.gym.wrappers import AutoDraw, LimitNumberYears, LoopDetection, SetInitialState, \ AssignPlayers, RandomizePlayers, SetPlayerSeed, SaveGame # Ignore specific warnings warnings.filterwarnings('ignore', message='Parameters to load are deprecated') register( id='DiplomacyEnv-v0', entry_point='diplomacy_research.models.gym.environment:DiplomacyEnv')

49.615385

112

0.684496

143

1,290

6.153846

0.65035

0.0625

0.029545

0.059091

0

0.004476

0.134109

1,290

25

113

51.6

0.783348

0.644186

0

0.246014

0.123007

0

1

0

true

0

0.375

0

0.375

0

null

0

null

0

1

0

1

0

2

446910272f530e7a9c174ed37e4268b3d0995159

29,890

py

Python

src/rc_icons.py

lmdu/dockey

a8ae34c780c952cb26270a173de08897b34c7252

[ "MIT" ]

null

src/rc_icons.py

lmdu/dockey

a8ae34c780c952cb26270a173de08897b34c7252

[ "MIT" ]

null

src/rc_icons.py

lmdu/dockey

a8ae34c780c952cb26270a173de08897b34c7252

[ "MIT" ]

null

# Resource object code (Python 3) # Created by: object code # Created by: The Resource Compiler for Qt version 6.3.0 # WARNING! 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\x00\x00\x00\xc8\x00\x00\x00\x00\x00\x01\x00\x00\x1e\xad\ \x00\x00\x01\x806k\x80>\ \x00\x00\x01\xa6\x00\x00\x00\x00\x00\x01\x00\x00;[\ \x00\x00\x01\x806k\x809\ \x00\x00\x00\xb2\x00\x00\x00\x00\x00\x01\x00\x00\x16\x11\ \x00\x00\x01\x806k\x80=\ \x00\x00\x00\x10\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x806k\x80>\ \x00\x00\x01\xc4\x00\x00\x00\x00\x00\x01\x00\x00?N\ \x00\x00\x01\x806k\x80>\ \x00\x00\x01L\x00\x00\x00\x00\x00\x01\x00\x00/\x05\ \x00\x00\x01\x806k\x80>\ \x00\x00\x00\xdc\x00\x00\x00\x00\x00\x01\x00\x00!\xad\ \x00\x00\x01\x80\x94\xc9\xa3y\ \x00\x00\x00R\x00\x00\x00\x00\x00\x01\x00\x00\x08\x84\ \x00\x00\x01\x806k\x80:\ \x00\x00\x00l\x00\x00\x00\x00\x00\x01\x00\x00\x0b\xac\ \x00\x00\x01\x80\x94\xceT\xed\ \x00\x00\x01\xda\x00\x00\x00\x00\x00\x01\x00\x00B\x9a\ \x00\x00\x01\x806k\x80>\ \x00\x00\x00:\x00\x00\x00\x00\x00\x01\x00\x00\x05\xf3\ \x00\x00\x01\x806k\x809\ \x00\x00\x00\x9e\x00\x00\x00\x00\x00\x01\x00\x00\x13F\ \x00\x00\x01\x806k\x809\ \x00\x00\x01h\x00\x00\x00\x00\x00\x01\x00\x002y\ \x00\x00\x01\x806k\x80>\ \x00\x00\x00&\x00\x00\x00\x00\x00\x01\x00\x00\x02\xdc\ \x00\x00\x01\x806k\x809\ \x00\x00\x01\x0e\x00\x00\x00\x00\x00\x01\x00\x00(\xdd\ \x00\x00\x01\x806k\x80=\ \x00\x00\x00\xf4\x00\x00\x00\x00\x00\x01\x00\x00$Q\ \x00\x00\x01\x806k\x809\ \x00\x00\x01|\x00\x00\x00\x00\x00\x01\x00\x005\x0a\ \x00\x00\x01\x806k\x80>\ \x00\x00\x01\xf0\x00\x00\x00\x00\x00\x01\x00\x00Fo\ \x00\x00\x01\x806k\x80>\ " def qInitResources(): QtCore.qRegisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data) def qCleanupResources(): QtCore.qUnregisterResourceData(0x03, qt_resource_struct, qt_resource_name, qt_resource_data) qInitResources()

21.801605

96

0.636434

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29,890

2.592572

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0.624289

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0.335722

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29,890

1,370

97

21.817518

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1

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0

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0

null

0

1

0

1

0

null

0

2

447112b6fa86b5ec0c006f66a69b184bd85f3270

267

py

Python

recursion/base_converter.py

Yasir323/Data-Structures-and-Algorithms-in-Python

b721d0ca0218b9665d4f6ca0bbfd4417244bcdf0

[ "MIT" ]

null

recursion/base_converter.py

Yasir323/Data-Structures-and-Algorithms-in-Python

b721d0ca0218b9665d4f6ca0bbfd4417244bcdf0

[ "MIT" ]

null

recursion/base_converter.py

Yasir323/Data-Structures-and-Algorithms-in-Python

b721d0ca0218b9665d4f6ca0bbfd4417244bcdf0

[ "MIT" ]

null

def decimal2base(num, base): convert_string = "0123456789ABCDEF" if num < base: return convert_string[num] remainder = num % base num = num // base return decimal2base(num, base) + convert_string[remainder] print(decimal2base(1453, 16))

24.272727

62

0.677903

31

267

5.741935

0.419355

0.196629

0.213483

0.292135

0.359551

0

0.091346

0.220974

267

10

63

26.7

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0

0.059925

0

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0.125

0

null

0

1

0

null

0

2

447b46504e3f133d3560744b576f31426d682d53

1,242

py

Python

app/main/forms.py

macymuhia/Blogspot

b1a578a4120bebb2c4c2a57201ac43eec7a161e9

[ "MIT" ]

null

app/main/forms.py

macymuhia/Blogspot

b1a578a4120bebb2c4c2a57201ac43eec7a161e9

[ "MIT" ]

6

2021-02-08T20:33:48.000Z

2022-03-11T23:56:14.000Z

app/main/forms.py

macymuhia/Blogspot

b1a578a4120bebb2c4c2a57201ac43eec7a161e9

[ "MIT" ]

null

from flask_wtf import FlaskForm from wtforms import StringField, TextAreaField, SubmitField, SelectField from wtforms.validators import Required class BlogForm(FlaskForm): blog_title = StringField("Blog title", validators=[Required()]) blog_description = StringField("Blog description", validators=[Required()]) story = TextAreaField("Blog content", validators=[Required()]) category = SelectField( "Category", choices=[ ("Gaming", "Gaming"), ("Career", "Career"), ("Technology", "Technology"), ("Sports", "Sports"), ("Fitness", "Fitness"), ], validators=[Required()], ) submit = SubmitField("Post") class CommentForm(FlaskForm): details = TextAreaField("Your comment", validators=[Required()]) submit = SubmitField("Comment") class UpdateProfile(FlaskForm): bio = TextAreaField("Tell us about you.", validators=[Required()]) submit = SubmitField("Submit") # class DeletePost(FlaskForm): # comment_id = StringField() # delete = SubmitField('Delete') class UpdateProfile(FlaskForm): bio = TextAreaField("Tell us about you.", validators=[Required()]) submit = SubmitField("Submit")

27

79

0.650564

108

1,242

7.444444

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0

null

0

1

0

null

0

1

0

2

447e060bfaf57ff9d2bd90b071b3844072392c17

3,912

py

Python

tests/test_file_structure.py

ChrisWellsWood/carpyt

6bdabd4924d0af5a83863dc25bec8961f321daaa

[ "MIT" ]

null

tests/test_file_structure.py

ChrisWellsWood/carpyt

6bdabd4924d0af5a83863dc25bec8961f321daaa

[ "MIT" ]

null

tests/test_file_structure.py

ChrisWellsWood/carpyt

6bdabd4924d0af5a83863dc25bec8961f321daaa

[ "MIT" ]

null

"""Tests for creating file structure.""" import os from pathlib import Path import tempfile from unittest import TestCase import carpyt TEST_TEMPLATES = Path(os.path.abspath(__file__)).parent / 'test_templates' class TestTemplateParsing(TestCase): """Tests that templates are parsed correctly.""" def test_simple_template(self): """Tests creation of nested parse tree.""" template_path = TEST_TEMPLATES / 'nested_simple.yml' file_tree = carpyt.run_template_parser(template_path) self.assertTrue(file_tree.name == 'nested_simple') self.assertTrue(file_tree[0].name == '{module}') self.assertTrue(file_tree[0][0].name == 'tests') self.assertTrue(file_tree[0][0][0].name == 'test.py') self.assertTrue(file_tree[0][0][0].content is None) def test_branched_template(self): """Tests creation of branched parse tree.""" template_path = TEST_TEMPLATES / 'nested_branched.yml' file_tree = carpyt.run_template_parser(template_path) self.assertTrue(file_tree.name == 'nested_branched') self.assertTrue(file_tree[0].name == 'docs') self.assertTrue(file_tree[1].name == 'tests') self.assertTrue(file_tree[1][0].name == 'test_files') self.assertTrue(file_tree[1][0].content is None) self.assertTrue(file_tree[2].name == '{module}') self.assertTrue(file_tree[2][0].name == '__init__.py') self.assertTrue('content' in file_tree[2][0].content) def test_linked_template(self): """Tests creation of parse tree with linked templates.""" template_path = TEST_TEMPLATES / 'parent.yml' file_tree = carpyt.run_template_parser(template_path) self.assertTrue(file_tree.name == 'parent') self.assertTrue(file_tree[0].name == '{module}') self.assertTrue(file_tree[0][0].name == 'child') self.assertTrue(file_tree[0][0][0].name == 'test_files') self.assertTrue(file_tree[0][0][0][0].name == 'tests.py') self.assertTrue(file_tree[0][0][0][0].content is None) self.assertTrue(file_tree[1].name == 'setup.py') self.assertTrue(file_tree[1].content is None) def test_recursive_template(self): """Tests error handling in recursive linked templates.""" template_path = TEST_TEMPLATES / 'recursive.yml' with self.assertRaises(RecursionError): carpyt.run_template_parser(template_path) def test_reuse_template(self): """Tests reuse of linked templates.""" template_path = TEST_TEMPLATES / 'reuse.yml' file_tree = carpyt.run_template_parser(template_path) self.assertTrue(len(file_tree.content) == 1) class TestFileCreation(TestCase): """Tests that all required files are generated correctly.""" def test_simple_project(self): """Tests the file structure of the standard python template.""" with tempfile.TemporaryDirectory() as tempdir: td_path = Path(tempdir) template_path = carpyt.TEMPLATES / 'python_module.yml' file_tree = carpyt.run_template_parser(template_path) file_tree.make(td_path) top_dir = td_path / 'python_module' self.assertTrue(top_dir.exists()) lib_dir = top_dir / '{module}' self.assertTrue((lib_dir).exists()) self.assertTrue((lib_dir / '__init__.py').exists()) self.assertTrue((lib_dir / 'lib.py').exists()) tests_dir = top_dir / 'tests' self.assertTrue(tests_dir.exists()) self.assertTrue((tests_dir / 'test_lib.py').exists()) docs_dir = top_dir / 'docs' self.assertTrue(docs_dir.exists()) self.assertTrue((top_dir / 'README.md').exists()) self.assertTrue((top_dir / 'MANIFEST.in').exists()) self.assertTrue((top_dir / 'setup.py').exists())

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null

0

1

0

null

0

1

0

2

44816770ada7ebc5eb5982830625b9550b145802

408

py

Python

Flask/server/config.py

VincentParsons/DigSig

195c97e34237dab78de40efd2d3a1e0269a82b70

[ "MIT" ]

null

Flask/server/config.py

VincentParsons/DigSig

195c97e34237dab78de40efd2d3a1e0269a82b70

[ "MIT" ]

1

2022-02-13T01:23:59.000Z

Flask/server/config.py

VincentParsons/DigSig

195c97e34237dab78de40efd2d3a1e0269a82b70

[ "MIT" ]

null

from dotenv import load_dotenv import os load_dotenv() class ApplicationConfig: SECRET_KEY = "asdadsd" SQLALCHEMY_TRACK_MODIFICATIONS = False SQLALCHEMY_ECHO = True SQLALCHEMY_DATABASE_URI = r"sqlite:///./db.sqlite" SESSION_TYPE = "filesystem" SESSION_PERMANENT = False SESSION_USE_SIGNER = True EMAIL_ADDRESS = "digsigsupp@gmail.com" EMAIL_PASSWORD = "DigSigRocks"

20.4

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0

null

0

null

0

1

0

1

0

2

4497c0bd8ba875e530e105c67eb98c37b9208182

2,151

py

Python

tests/test_configManager.py

Helene/ibm-spectrum-scale-bridge-for-grafana

9ec7953071d9fbe90332cb670a3f6c00ebf3291b

[ "Apache-2.0" ]

28

2019-11-21T21:11:55.000Z

2022-03-14T16:53:12.000Z

tests/test_configManager.py

Helene/ibm-spectrum-scale-bridge-for-grafana

9ec7953071d9fbe90332cb670a3f6c00ebf3291b

[ "Apache-2.0" ]

23

2019-12-17T08:44:09.000Z

2022-01-07T11:02:01.000Z

tests/test_configManager.py

Helene/ibm-spectrum-scale-bridge-for-grafana

9ec7953071d9fbe90332cb670a3f6c00ebf3291b

[ "Apache-2.0" ]

7

2019-12-04T09:41:17.000Z

2021-12-10T15:01:08.000Z

from source.confParser import ConfigManager from source.__version__ import __version__ as version def test_case01(): cm = ConfigManager() result = cm.readConfigFile('config.ini') assert isinstance(result, dict) def test_case02(): cm = ConfigManager() result = cm.readConfigFile('config.ini') assert len(result.keys()) > 0 def test_case03(): cm = ConfigManager() result = cm.readConfigFile('config.ini') assert 'tls' in result.keys() def test_case04(): cm = ConfigManager() result = cm.readConfigFile('config.ini') connection = result['connection'] assert len(connection) > 0 assert isinstance(connection, dict) assert len(connection) > 0 assert 'port' in connection.keys() def test_case05(): cm = ConfigManager() result = cm.parse_defaults() assert isinstance(result, dict) def test_case06(): cm = ConfigManager() result = cm.parse_defaults() assert len(result.keys()) > 0 def test_case07(): cm = ConfigManager() result = cm.parse_defaults() result1 = cm.defaults assert len(result) == len(result1) def test_case08(): cm = ConfigManager() result = cm.defaults elements = list(result.keys()) mandatoryItems = ['port', 'serverPort'] assert all(item in elements for item in mandatoryItems) def test_case09(): cm = ConfigManager() result = cm.defaults value = int(result['port']) assert value == 4242 def test_case10(): cm = ConfigManager() result = cm.defaults if version < "7.0": assert int(result['port']) == 4242 and int(result['serverPort']) == 9084 else: assert int(result['port']) == 4242 and int(result['serverPort']) == 9980 def test_case11(): cm = ConfigManager() result = cm.defaults assert 'includeDiskData' in result.keys() assert result['includeDiskData'] == 'no' def test_case12(): cm = ConfigManager() result = cm.defaults assert 'apiKeyValue' not in result.keys() def test_case13(): cm = ConfigManager() result = cm.defaults assert 'protocol' in result.keys() assert result['protocol'] == 'http'

22.882979

80

0.656439

250

2,151

5.552

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0.065562

0.196686

0.215418

0.612392

0.445965

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0.177233

0.064842

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2,151

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23.129032

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0.223881

0

null

0

1

0

null

0

2

9225d697e78183c1ad43794ee9e4cd4755df5089

2,260

py

Python

orbit.py

srujan71/CubeSat-Mission-Planner

34030254109def0b13e82116ed5122ecf79a82f7

[ "MIT" ]

1

2021-07-26T16:17:30.000Z

orbit.py

leizhang2020/CubeSat-Mission-Planner

62d1ad33c2dcb1a2f8fb3ff615cc5cc0e6716969

[ "MIT" ]

null

orbit.py

leizhang2020/CubeSat-Mission-Planner

62d1ad33c2dcb1a2f8fb3ff615cc5cc0e6716969

[ "MIT" ]

2

2021-09-18T08:50:44.000Z

2022-01-20T02:41:38.000Z

""" orbit.py "Frankly, a very limited and highly specific implementation of an Orbit class. If used for applications other than the original usecase, this class will either need to be bypassed or heavily expanded upon." @author: Johan Monster (https://github.com/Hans-Bananendans/) """ from numpy import log class Orbit: """This class stores and supplies orbital parameters for given circular SSO orbit""" def __init__(self,h,i,LTAN): self.h = h #[km] self.i = i #[deg] self.LTAN = LTAN #0-23[h] e.g. 14 is 14:00 def period(self): """ Parameters ---------- h : double Orbital altitude in [km]. Returns ------- int Orbital period in [s]. """ return int(2*3.141593 * ((1000*(6371+self.h))**3/(3.986*10**14))**0.5) def eclipse(self): """ eclipse(h) Note: Only valid between LTAN [10:00, 11:00], based on logarithmic regression of simulated eclipse data in GMAT. For more info, consult eclipse_predictions.xlsx. ACCURATE TO WITHIN A FEW SECONDS Parameters ---------- h : double Orbital altitude in [km]. Returns ------- double Total eclipse duration (including penumbras) in [s]. """ # If LTAN is 10:00 # e = -151*log(self.h) + 2965 # [s] # If LTAN is 10:30 e = -125*log(self.h) + 2860 # [s] # If LTAN is 11:00 # e = -109*log(self.h) + 2800 # [s] return e def eclipse_frac(self): """ eclipse(h) Note: Only valid for LTAN 10:00, 10:30, 11:00, based on logarithmic regression of simulated eclipse data in GMAT. For more info, consult eclipse_predictions.xlsx. ACCURACY TO WITHIN 0.1 OF TRUE VALUE Parameters ---------- h : double Orbital altitude in [km]. Returns ------- double Percentage of orbit that is in ECLIPSE [%]. """ return self.eclipse()/self.period()

25.111111

78

0.509735

273

2,260

4.194139

0.450549

0.026201

0.044541

0.062882

0.360699

0.341485

0.297817

0.260262

0.174672

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0.064631

0.376991

2,260

90

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25.111111

0.74858

0.600442

0

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false

0

0.076923

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null

0

null

0

1

0

1

0

2

922f623f7a3d41cac0130a562f5b7e6ac382fee1

2,639

py

Python

mikelint/analysers/analyser.py

mike-fam/mikelint

4e512039d11e9bbfde18a8cadcbc4608295e663f

[ "MIT" ]

2

2021-04-27T01:13:37.000Z

2021-05-21T02:28:24.000Z

mikelint/analysers/analyser.py

mike-fam/mikelint

4e512039d11e9bbfde18a8cadcbc4608295e663f

[ "MIT" ]

3

2021-05-05T10:21:25.000Z

2021-05-30T12:51:43.000Z

mikelint/analysers/analyser.py

mike-fam/mikelint

4e512039d11e9bbfde18a8cadcbc4608295e663f

[ "MIT" ]

null

""" Abstract analyser """ from functools import wraps from inspect import getmembers, ismethod from typing import Callable from ..type_hints import AnalyserResults, AnalyserHelper from ..utils import SyntaxTree, BaseViolation, ViolationResult def register_check(error_format: str): """ Registers a new checker to an analyser Args: error_format: error format of violation """ def decorator(check_method: Callable): @wraps(check_method) def wrapper(*args, **kwargs): analyser = args[0] checker_name = check_method.__name__ analyser.register_checker(checker_name, check_method.__doc__, error_format) result: list[ViolationResult] = check_method(*args, **kwargs) analyser.add_violations(checker_name, result) return wrapper return decorator class Analyser: """Abstract base analyser""" def __init__(self, sources: dict[str, AnalyserHelper]): """ Constructor Args: tree: syntax tree source: list of lines from source code """ self._check_results: AnalyserResults = {} self._sources = sources def register_checker(self, name: str, description: str, error_format: str): """ Registers a new checker to this analyser Args: name: name of the checker, typically the method name description: description of this checker error_format: format string used to display violations """ self._check_results[name] = BaseViolation(description, error_format, []) def get_results(self) -> AnalyserResults: """ Returns results of all checkers of this analyser """ return self._check_results def add_violations(self, checker_name: str, results: list[ViolationResult]) -> None: """ Adds violation results to a checker Args: checker_name: name of the checker results: list of violation results """ self._check_results[checker_name].values.extend(results) def get_line(self, file_name: str, line_number: int) -> str: """Returns line given line number""" return self._sources[file_name].source[line_number - 1].strip() def run(self): """ Runs all checkers """ for method_name, method in getmembers(self, predicate=ismethod): if not method_name.startswith("check_"): continue method()

32.182927

80

0.611595

277

2,639

5.631769

0.32491

0.049359

0.041026

0.029487

0.071795

0.046154

0

0.001095

0.307692

2,639

81

32.580247

0.852764

0.241379

0

0.003398

0

1

0.25

false

0

0.138889

0

0.527778

0

null

0

null

0

1

0

1

0

2

9240a548d742f534b991d13e7dee47d24390d843

416

py

Python

aiocloudflare/api/user/billing/subscriptions/subscriptions.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

2

2021-09-14T13:20:55.000Z

2022-02-24T14:18:24.000Z

aiocloudflare/api/user/billing/subscriptions/subscriptions.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

46

2021-09-08T08:39:45.000Z

2022-03-29T12:31:05.000Z

aiocloudflare/api/user/billing/subscriptions/subscriptions.py

Stewart86/aioCloudflare

341c0941f8f888a8b7e696e64550bce5da4949e6

[ "MIT" ]

1

2021-12-30T23:02:23.000Z

from aiocloudflare.commons.unused import Unused from .apps.apps import Apps from .zones.zones import Zones class Subscriptions(Unused): _endpoint1 = "user/billing/subscriptions" _endpoint2 = None _endpoint3 = None @property def apps(self) -> Apps: return Apps(self._config, self._session) @property def zones(self) -> Zones: return Zones(self._config, self._session)

21.894737

49

0.697115

49

416

5.77551

0.428571

0.077739

0.09894

0.14841

0

0.009146

0.211538

416

18

50

23.111111

0.853659

0

0.153846

0

0.0625

0

1

0.153846

false

0

0.230769

0.153846

0.846154

0

null

0

null

0

1

0

2

92414f09496d34fe212d6725d451c35584414eae

1,548

py

Python

dlutils/timer.py

podgorskiy/dlutils

716c99fd26cde73550c58b2be1071d64c67ca036

[ "Apache-2.0" ]

5

2019-11-06T20:42:38.000Z

2020-09-06T02:09:56.000Z

dlutils/timer.py

podgorskiy/dlutils

716c99fd26cde73550c58b2be1071d64c67ca036

[ "Apache-2.0" ]

2

2020-04-23T09:22:29.000Z

2020-04-23T14:41:22.000Z

dlutils/timer.py

podgorskiy/dlutils

716c99fd26cde73550c58b2be1071d64c67ca036

[ "Apache-2.0" ]

3

2020-04-28T18:12:47.000Z

2020-08-28T06:50:34.000Z

# Copyright 2017-2019 Stanislav Pidhorskyi # # 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. # ============================================================================== """Profiling utils""" import time def timer(f): """ Decorator for timeing function (method) execution time. After return from function will print string: ``func: <function name> took: <time in seconds> sec``. Args: f (Callable[Any]): function to decorate. Returns: Callable[Any]: Decorated function. Example: :: >>> from dlutils import timer >>> @timer.timer ... def foo(x): ... for i in range(x): ... pass ... >>> foo(100000) func:'foo' took: 0.0019 sec """ def __wrapper(*args, **kw): time_start = time.time() result = f(*args, **kw) time_end = time.time() print('func:%r took: %2.4f sec' % (f.__name__, time_end - time_start)) return result return __wrapper

29.769231

104

0.583333

189

1,548

4.714286

0.571429

0.06734

0.029181

0.035915

0

0.021968

0.264858

1,548

51

105

30.352941

0.760984

0.747416

0

0.08

0

1

0.222222

false

0

0.111111

0

0.555556

0.111111

0

null

0

null

0

1

0

1

0

2

924aac08eec6f6d80fd3a7f3fb5250d621f04816

162

py

Python

tests/configuration/config.py

NHSDigital/karsten-ratelimit-test

f4eeccd999ef440d4a1ec4d0a71ffc187665877d

[ "MIT" ]

1

2021-11-08T14:54:07.000Z

tests/configuration/config.py

NHSDigital/karsten-ratelimit-test

f4eeccd999ef440d4a1ec4d0a71ffc187665877d

[ "MIT" ]

36

2020-06-24T10:55:10.000Z

2022-02-11T10:11:07.000Z

tests/configuration/config.py

NHSDigital/public-data-catalogue

7c385698a8db241cc9496a74bd41a1806bee2907

[ "MIT" ]

1

2021-04-11T07:32:37.000Z

from .environment import ENV # Api Details ENVIRONMENT = ENV["environment"] BASE_URL = f"https://{ENVIRONMENT}.api.service.nhs.uk" BASE_PATH = ENV["base_path"]

20.25

54

0.740741

23

162

5.086957

0.608696

0.136752

0

0.111111

162

7

55

23.142857

0.8125

0.067901

0

0.402685

0

1

0

false

0

0.25

0

0.25

0

1

0

null

0

1

0

null

0

2

9257db98b395b4b7c78f60feda8d5c9358ca061b

709

py

Python

ADTs/Node.py

pacevedom/three-in-line-AI

9e42c1512bbfccbf5bccd9adc4a5da8bc595d4e5

[ "MIT" ]

null

ADTs/Node.py

pacevedom/three-in-line-AI

9e42c1512bbfccbf5bccd9adc4a5da8bc595d4e5

[ "MIT" ]

null

ADTs/Node.py

pacevedom/three-in-line-AI

9e42c1512bbfccbf5bccd9adc4a5da8bc595d4e5

[ "MIT" ]

1

2021-11-28T15:42:44.000Z

class Node: def __init__(self, value, child, parent): self._value = value self._child = child self._parent = parent def get_value(self): #Return the value of a node return self._value def get_child(self): #Return the value of a node return self._child def get_parent(self): #Return the parent of a node return self._parent def set_value(self, value): #Change the value of a node self._value = value def set_child(self, child): #Change the value of a node self._child = child def set_parent(self, parent): #Change the parent reference self._parent = parent

24.448276

45

0.602257

96

709

4.25

0.166667

0.110294

0.085784

0.107843

0.335784

0.294118

0.171569

0

0.328632

709

29

46

24.448276

0.857143

0.222849

0

0.352941

0

1

0.411765

false

0

0.176471

0.647059

0

null

0

null

0

1

0

1

0

2

926055753876c29c748828d168304c3ef6c8a5b4

578

py

Python

Unit 8 Libraries/shapes.py

ItsMrTurtle/PythonChris

4513dea336e68f48fabf480ad87bc538a323c2cd

[ "MIT" ]

null

Unit 8 Libraries/shapes.py

ItsMrTurtle/PythonChris

4513dea336e68f48fabf480ad87bc538a323c2cd

[ "MIT" ]

null

Unit 8 Libraries/shapes.py

ItsMrTurtle/PythonChris

4513dea336e68f48fabf480ad87bc538a323c2cd

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Created on Thu May 28 15:30:04 2020 @author: Christopher Cheng """ class Circle (object): def __init__(self): self.radius = 0 def change_radius(self, radius): self.radius = radius def get_radius (self): return self.radius class Rectangle(object): # A rectangle object with a width and height def __init__(self,length,width): self.length = length self.width = width def set_length(self,length): self.length = length def set_width(self,width): self.width = width

23.12

48

0.626298

77

578

4.545455

0.441558

0.114286

0.062857

0

0.033019

0.266436

578

24

49

24.083333

0.792453

0.223183

0

0.266667

0

1

0.4

false

0

0.066667

0.6

0

null

0

null

0

1

0

1

0

2

926441ea90cbc6c22b98d9270a3adf3f083c5bbf

889

py

Python

card/models.py

tyhunt99/card-collector-db

932bd829eb46f9492e6a25326140823629161bab

[ "MIT" ]

null

card/models.py

tyhunt99/card-collector-db

932bd829eb46f9492e6a25326140823629161bab

[ "MIT" ]

4

2020-06-05T20:53:52.000Z

2022-02-10T08:32:51.000Z

card/models.py

tyhunt99/card-collector-db

932bd829eb46f9492e6a25326140823629161bab

[ "MIT" ]

null

import datetime from django.core.validators import MaxValueValidator, MinValueValidator from django.db import models class Collection(models.Model): ''' A collection of cards. ''' name = models.CharField(max_length=250) class Card(models.Model): first_name = models.CharField(max_length=150) last_name = models.CharField(max_length=150) team = models.CharField(max_length=100) year = models.PositiveIntegerField( validators=[ MinValueValidator(1887), # first produced baseball card (source?) MaxValueValidator(datetime.datetime.now().year), ], help_text='Use the following format: <YYYY>', ) company = models.CharField(max_length=250) value = models.DecimalField( decimal_places=2, max_digits=50, default=0, ) collection = models.ManyToManyField(Collection)

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