xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

94731556c920289a514e9795ae24ba7e2367bdd5

200

py

Python

nn/activation.py

prabhatnagarajan/rl_lib

43fecc6ceb3b9299f6a55804e736a0a2b3247e9a

[ "MIT" ]

1

2017-09-29T02:14:43.000Z

nn/activation.py

prabhatnagarajan/rl_lib

43fecc6ceb3b9299f6a55804e736a0a2b3247e9a

[ "MIT" ]

null

nn/activation.py

prabhatnagarajan/rl_lib

43fecc6ceb3b9299f6a55804e736a0a2b3247e9a

[ "MIT" ]

null

from enum import Enum import numpy as np # def sigmoid(value): # return np.exp(value)/(np.exp(value) + 1) class Activation(): def sigmoid(self, value): return np.exp(value)/(np.exp(value) + 1)

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84745ade7987c6321df2d5b27def25b655f517df

45

py

Python

tests/functional/test_functional/path-dependency/src/path_dependency/__init__.py

drhagen/nox-poetry

1afc0a007cea88614ff1e0b8be1415e0f8e84253

[ "MIT" ]

77

2020-09-30T14:17:18.000Z

2022-03-28T14:39:00.000Z

tests/functional/test_functional/path-dependency/src/path_dependency/__init__.py

drhagen/nox-poetry

1afc0a007cea88614ff1e0b8be1415e0f8e84253

[ "MIT" ]

260

2020-05-27T05:23:54.000Z

2022-03-30T23:28:55.000Z

tests/functional/test_functional/path-dependency/src/path_dependency/__init__.py

drhagen/nox-poetry

1afc0a007cea88614ff1e0b8be1415e0f8e84253

[ "MIT" ]

9

2020-06-01T10:43:09.000Z

2022-03-26T19:00:40.000Z

"""Example package for path dependencies."""

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847778e020feb1ce9c03286802e2123b789bde83

125

py

Python

lib/JumpScale/baselib/codetools/__init__.py

rudecs/jumpscale_core7

30c03f26f1cdad3edbb9d79d50fbada8acc974f5

[ "Apache-2.0" ]

null

lib/JumpScale/baselib/codetools/__init__.py

rudecs/jumpscale_core7

30c03f26f1cdad3edbb9d79d50fbada8acc974f5

[ "Apache-2.0" ]

4

2016-08-25T12:08:39.000Z

2018-04-12T12:36:01.000Z

lib/JumpScale/baselib/codetools/__init__.py

rudecs/jumpscale_core7

30c03f26f1cdad3edbb9d79d50fbada8acc974f5

[ "Apache-2.0" ]

3

2016-03-08T07:49:34.000Z

2018-10-19T13:56:43.000Z

from JumpScale import j def cb(): from .CodeTools import CodeTools return CodeTools() j._register('codetools', cb)

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5

84c5e51b0c7fb89be26b588cb386ddc89dcb31d3

134

py

Python

docs/source/handbook/pyplots/softplus.py

tuttelikz/farabi

5b65cdf39ceecbd69ae759d030b132ee74661b48

[ "Apache-2.0" ]

53

2021-04-06T17:57:12.000Z

2022-03-07T17:45:45.000Z

docs/source/handbook/pyplots/softplus.py

tuttelikz/farabi

5b65cdf39ceecbd69ae759d030b132ee74661b48

[ "Apache-2.0" ]

1

2022-03-07T19:48:44.000Z

2022-03-07T19:49:47.000Z

docs/source/handbook/pyplots/softplus.py

tuttelikz/farabi

5b65cdf39ceecbd69ae759d030b132ee74661b48

[ "Apache-2.0" ]

2

2021-12-06T14:42:44.000Z

2021-12-07T11:33:14.000Z

from activfuncs import plot, x import numpy as np def softplus(x): return np.log(1+np.exp(x)) plot(softplus, yaxis=(-0.4, 1.4))

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84dc7e87a792e8a69567110ac542679ef6f2c352

22

py

Python

tccli/services/mvj/v20190926/__init__.py

zyh911/tencentcloud-cli

dfc5dbd660d4c60d265921c4edc630091478fc41

[ "Apache-2.0" ]

null

tccli/services/mvj/v20190926/__init__.py

zyh911/tencentcloud-cli

dfc5dbd660d4c60d265921c4edc630091478fc41

[ "Apache-2.0" ]

null

tccli/services/mvj/v20190926/__init__.py

zyh911/tencentcloud-cli

dfc5dbd660d4c60d265921c4edc630091478fc41

[ "Apache-2.0" ]

null

version = "2019-09-26"

22

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1

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1

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null

0

5

ca057d09f097148e2de84a08b4897399a17a0ffe

78

py

Python

helloworld.py

elijakotsi/second

2b29e24467d2583cd72339cccf1bf87110f19b72

[ "MIT" ]

null

helloworld.py

elijakotsi/second

2b29e24467d2583cd72339cccf1bf87110f19b72

[ "MIT" ]

null

helloworld.py

elijakotsi/second

2b29e24467d2583cd72339cccf1bf87110f19b72

[ "MIT" ]

null

print ('hello world') print ('hello second time') print ('Again and Again')

13

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78

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1

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5

ca0d6e6b4ab4d457a6e714e213bc3a5df6d118b7

449

py

Python

Fancy_aggregations/dissimilarities.py

Fuminides/Fancy_aggregations

9d7dbfa9b615ab6f582d8a36681ab24ccc94f759

[ "MIT" ]

10

2019-11-13T15:38:06.000Z

2022-01-29T09:27:38.000Z

Fancy_aggregations/dissimilarities.py

Fuminides/Fancy_aggregations

9d7dbfa9b615ab6f582d8a36681ab24ccc94f759

[ "MIT" ]

null

Fancy_aggregations/dissimilarities.py

Fuminides/Fancy_aggregations

9d7dbfa9b615ab6f582d8a36681ab24ccc94f759

[ "MIT" ]

4

2020-05-18T11:24:12.000Z

2022-03-07T08:34:13.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Tue Jun 22 15:58:57 2021 @author: javier """ import numpy as np def abs_v(x, y): return np.abs(x - y) def quadratic(x, y): return (x-y) * (x-y) def square(x, y): return np.sqrt(abs_v(x, y)) def squarewise(x, y): return np.abs(np.sqrt(x) - np.sqrt(y)) def abs_square(x, y): return np.abs(x*x - y*y) def root_square(x, y): return (np.sqrt(x) - np.sqrt(y))**2

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5

ca336065770f9c254e2e396b01677feda749f1b6

123

py

Python

pset_classes/class_basics/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

5

2019-04-08T20:05:37.000Z

2019-12-04T20:48:45.000Z

pset_classes/class_basics/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

8

2019-04-15T15:16:05.000Z

2022-02-12T10:33:32.000Z

pset_classes/class_basics/p1.py

mottaquikarim/pydev-psets

9749e0d216ee0a5c586d0d3013ef481cc21dee27

[ "MIT" ]

2

2019-04-10T00:14:42.000Z

2020-02-26T20:35:21.000Z

""" Person class """ # Create a Person class with the following properties # 1. name # 2. age # 3. social security number

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null

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1

0

5

ca5ad904805e88571cfce613f0ee3f00d303b335

100

py

Python

microsockets/__init__.py

ParkerD559/microsockets-py

587d39e598d42cc6ee829a7c98ddb715013ee1f8

[ "MIT" ]

3

2019-02-05T16:55:52.000Z

2019-09-11T23:21:58.000Z

microsockets/__init__.py

ParkerD559/microsockets-py

587d39e598d42cc6ee829a7c98ddb715013ee1f8

[ "MIT" ]

2

2019-09-03T02:37:08.000Z

2019-09-03T02:37:30.000Z

microsockets/__init__.py

ParkerD559/microsockets-py

587d39e598d42cc6ee829a7c98ddb715013ee1f8

[ "MIT" ]

null

from .application import Application from .events import EventRouter from .rooms import RoomManager

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1

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5

04711d3844781615dc883581221c12cc3450cf19

187

py

Python

courseapp/admin.py

kumarisneha/coursebeta

fed0c42bdff60ebc5c5ee5a423e7ff930016c32b

[ "MIT" ]

null

courseapp/admin.py

kumarisneha/coursebeta

fed0c42bdff60ebc5c5ee5a423e7ff930016c32b

[ "MIT" ]

null

courseapp/admin.py

kumarisneha/coursebeta

fed0c42bdff60ebc5c5ee5a423e7ff930016c32b

[ "MIT" ]

null

from django.contrib import admin from .models import CourseCreate, SyllabusAddition # Register your models here. admin.site.register(CourseCreate) admin.site.register(SyllabusAddition)

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5

048db3fa8666debcf09d1ac4fe6d3fc7088ca2e4

112

py

Python

src/remote_docker_aws/exceptions.py

lime-green/remote-docker-aws

bcbd8b72fa963187460c9658a0b83c6709f6cc18

[ "MIT" ]

16

2020-07-07T17:55:52.000Z

2021-12-02T20:49:27.000Z

src/remote_docker_aws/exceptions.py

lime-green/remote-docker

495c648868c112028b6ccdeed121b00b8b7c4a77

[ "MIT" ]

3

2020-12-19T17:33:55.000Z

2021-07-22T19:27:41.000Z

src/remote_docker_aws/exceptions.py

lime-green/remote-docker

495c648868c112028b6ccdeed121b00b8b7c4a77

[ "MIT" ]

3

2020-08-31T15:26:11.000Z

2021-08-05T02:08:12.000Z

class RemoteDockerException(RuntimeError): pass class InstanceNotRunning(RemoteDockerException): pass

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true

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0492c22df1907220b165a2a6356a3504f5581a22

143

py

Python

asyncio_mqtt/__init__.py

MBradbury/asyncio-mqtt

90647428097897c847fbeb6c4c57d30d952edde6

[ "BSD-3-Clause" ]

null

asyncio_mqtt/__init__.py

MBradbury/asyncio-mqtt

90647428097897c847fbeb6c4c57d30d952edde6

[ "BSD-3-Clause" ]

null

asyncio_mqtt/__init__.py

MBradbury/asyncio-mqtt

90647428097897c847fbeb6c4c57d30d952edde6

[ "BSD-3-Clause" ]

null

# SPDX-License-Identifier: BSD-3-Clause from .error import MqttError, MqttCodeError from .client import Client from .version import __version__

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1

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5

04a2a4c9a9c78b3647c4a021c532c83ece73f9f6

252

py

Python

tests/test_day12.py

khwilson/advent2020

066591265af5afe905fc583b9a67894d197297ae

[ "MIT" ]

null

tests/test_day12.py

khwilson/advent2020

066591265af5afe905fc583b9a67894d197297ae

[ "MIT" ]

null

tests/test_day12.py

khwilson/advent2020

066591265af5afe905fc583b9a67894d197297ae

[ "MIT" ]

null

from pathlib import Path from advent import day12 def test_first(fixture_path: Path): assert day12.first(fixture_path / "example12.txt") == 25 def test_second(fixture_path: Path): assert day12.second(fixture_path / "example12.txt") == 286

21

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11

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5

04a9a236d2a98fdce6687b13b31be83648c7b96f

317

py

Python

src/openpersonen/api/views/partner_historie.py

maykinmedia/open-personen

ddcf083ccd4eb864c5305bcd8bc75c6c64108272

[ "RSA-MD" ]

2

2020-08-26T11:24:43.000Z

2021-07-28T09:46:40.000Z

src/openpersonen/api/views/partner_historie.py

maykinmedia/open-personen

ddcf083ccd4eb864c5305bcd8bc75c6c64108272

[ "RSA-MD" ]

153

2020-08-26T10:45:35.000Z

2021-12-10T17:33:16.000Z

src/openpersonen/api/views/partner_historie.py

maykinmedia/open-personen

ddcf083ccd4eb864c5305bcd8bc75c6c64108272

[ "RSA-MD" ]

null

from openpersonen.api.data_classes import PartnerHistorie from openpersonen.api.serializers import PartnerHistorieSerializer from openpersonen.api.views.base import HistorieViewSet class PartnerHistorieViewSet(HistorieViewSet): serializer_class = PartnerHistorieSerializer instance_class = PartnerHistorie

31.7

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0

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5

b6c26fb1398689426594680c8358fda581a3a5a7

78

py

Python

sabersql.py

dhuber34/sabersql

27a4824d56dda9b7a8cd9b418fc06b3cc5dee935

[ "MIT" ]

1

2022-01-19T23:21:43.000Z

sabersql.py

dhuber34/sabersql

27a4824d56dda9b7a8cd9b418fc06b3cc5dee935

[ "MIT" ]

2

2020-12-08T00:37:23.000Z

2022-01-19T21:34:54.000Z

sabersql.py

dhuber34/sabersql

27a4824d56dda9b7a8cd9b418fc06b3cc5dee935

[ "MIT" ]

1

2021-09-05T14:56:02.000Z

#!/usr/bin/env python3 import sys from sabersql.__main__ import main main()

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b6dca7b9c17edef79f9f306f11702fc7661fd018

25

py

Python

spark-ingestion/test.py

philnandreoli/metadataingestion

20870ab4703817acb59f8abd3c20b1638efe6b77

[ "MIT" ]

null

spark-ingestion/test.py

philnandreoli/metadataingestion

20870ab4703817acb59f8abd3c20b1638efe6b77

[ "MIT" ]

1

2020-09-02T22:18:50.000Z

spark-ingestion/test.py

philnandreoli/metadataingestion

20870ab4703817acb59f8abd3c20b1638efe6b77

[ "MIT" ]

null

from delta.table import *

25

0.8

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5

b6e387d35a87b4f50c2a22334cb4a189a6017bd1

5,509

py

Python

tests/st/ops/cpu/test_argminwithvalue_op.py

GuoSuiming/mindspore

48afc4cfa53d970c0b20eedfb46e039db2a133d5

[ "Apache-2.0" ]

3,200

2020-02-17T12:45:41.000Z

2022-03-31T20:21:16.000Z

tests/st/ops/cpu/test_argminwithvalue_op.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

176

2020-02-12T02:52:11.000Z

2022-03-28T22:15:55.000Z

tests/st/ops/cpu/test_argminwithvalue_op.py

zimo-geek/mindspore

665ec683d4af85c71b2a1f0d6829356f2bc0e1ff

[ "Apache-2.0" ]

621

2020-03-09T01:31:41.000Z

2022-03-30T03:43:19.000Z

# Copyright 2019 Huawei Technologies Co., Ltd # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================ import numpy as np import pytest import mindspore.context as context import mindspore.nn as nn from mindspore import Tensor from mindspore.ops import operations as P context.set_context(mode=context.GRAPH_MODE, device_target="CPU") class NetArgminWithValue(nn.Cell): def __init__(self, axis=0, keep_dims=False): super(NetArgminWithValue, self).__init__() self.argmin = P.ArgMinWithValue(axis=axis, keep_dims=keep_dims) def construct(self, x): return self.argmin(x) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_argminwithvalue_fp32(): x = np.array([[1., 20., 5.], [67., 8., 9.], [130., 24., 15.], [-0.5, 25, 100]]).astype(np.float32) argmin_a0 = NetArgminWithValue(axis=0, keep_dims=False) output0, output1 = argmin_a0(Tensor(x)) expect0 = np.array([3, 1, 0]).astype(np.int32) expect1 = np.array([-0.5, 8., 5.]).astype(np.float32) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) argmin_a0k = NetArgminWithValue(axis=0, keep_dims=True) output0, output1 = argmin_a0k(Tensor(x)) expect0 = np.array([[3, 1, 0]]).astype(np.int32) expect1 = np.array([[-0.5, 8., 5.]]).astype(np.float32) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) argmin_a1 = NetArgminWithValue(axis=1, keep_dims=False) output0, output1 = argmin_a1(Tensor(x)) expect0 = np.array([0, 1, 2, 0]).astype(np.int32) expect1 = np.array([1., 8., 15., -0.5]).astype(np.float32) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) argmin_a1k = NetArgminWithValue(axis=-1, keep_dims=True) output0, output1 = argmin_a1k(Tensor(x)) expect0 = np.array([[0], [1], [2], [0]]).astype(np.int32) expect1 = np.array([[1.], [8.], [15.], [-0.5]]).astype(np.float32) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_argminwithvalue_fp16(): x = np.array([[1., 20., 5.], [67., 8., 9.], [130., 24., 15.], [-0.5, 25, 100]]).astype(np.float16) argmin_a0 = NetArgminWithValue(axis=0, keep_dims=False) output0, output1 = argmin_a0(Tensor(x)) expect0 = np.array([3, 1, 0]).astype(np.int32) expect1 = np.array([-0.5, 8., 5.]).astype(np.float16) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) argmin_a0k = NetArgminWithValue(axis=0, keep_dims=True) output0, output1 = argmin_a0k(Tensor(x)) expect0 = np.array([[3, 1, 0]]).astype(np.int32) expect1 = np.array([[-0.5, 8., 5.]]).astype(np.float16) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) argmin_a1 = NetArgminWithValue(axis=1, keep_dims=False) output0, output1 = argmin_a1(Tensor(x)) expect0 = np.array([0, 1, 2, 0]).astype(np.int32) expect1 = np.array([1., 8., 15., -0.5]).astype(np.float16) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) argmin_a1k = NetArgminWithValue(axis=-1, keep_dims=True) output0, output1 = argmin_a1k(Tensor(x)) expect0 = np.array([[0], [1], [2], [0]]).astype(np.int32) expect1 = np.array([[1.], [8.], [15.], [-0.5]]).astype(np.float16) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error) @pytest.mark.level0 @pytest.mark.platform_x86_cpu @pytest.mark.env_onecard def test_argminwithvalue_tensor(): prop = 100 if np.random.random() > 0.5 else -100 x = np.random.randn(3, 4, 5, 6).astype(np.float16) * prop argmin_a0 = NetArgminWithValue(axis=-2, keep_dims=False) output0, output1 = argmin_a0(Tensor(x)) expect0 = np.argmin(x, axis=-2) expect1 = np.min(x, axis=-2).astype(np.float16) error = np.ones(shape=expect1.shape) * 1.0e-6 assert np.all(output0.asnumpy() == expect0) assert np.all(np.abs(output1.asnumpy() - expect1) < error)

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b6eecc44e1ba9e294320ab571d3acdc5599cdc2a

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py

Python

tests/unit/test_app.py

shm-tar/Bachelors-Degree-Project

b924cdbe21e60f2260aa5f6e460fd44ccf5fd139

[ "Apache-2.0" ]

null

tests/unit/test_app.py

shm-tar/Bachelors-Degree-Project

b924cdbe21e60f2260aa5f6e460fd44ccf5fd139

[ "Apache-2.0" ]

null

tests/unit/test_app.py

shm-tar/Bachelors-Degree-Project

b924cdbe21e60f2260aa5f6e460fd44ccf5fd139

[ "Apache-2.0" ]

null

def test_testing_config(app): assert app.config['UPLOAD_PATH'] == 'static/uploads' assert app.config['SQLALCHEMY_DATABASE_URI'] == 'sqlite:///test_site.db'

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8e40338e860f5ed0f03325d588347259fbaa9b11

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py

Python

tests/web_platform/css_flexbox_1/test_flexbox_flex_0_1_N.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/css_flexbox_1/test_flexbox_flex_0_1_N.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

null

tests/web_platform/css_flexbox_1/test_flexbox_flex_0_1_N.py

fletchgraham/colosseum

77be4896ee52b8f5956a3d77b5f2ccd2c8608e8f

[ "BSD-3-Clause" ]

1

2020-01-16T01:56:41.000Z

from tests.utils import W3CTestCase class TestFlexbox_Flex01N(W3CTestCase): vars().update(W3CTestCase.find_tests(__file__, 'flexbox_flex-0-1-N'))

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py

Python

UnityEngine/HumanLimit/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

UnityEngine/HumanLimit/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

UnityEngine/HumanLimit/__init__.py

Grim-es/udon-pie-auto-completion

c2cd86554ed615cdbbb01e19fa40665eafdfaedc

[ "MIT" ]

null

from UdonPie import System from UdonPie import UnityEngine from UdonPie.Undefined import * class HumanLimit: def __new__(cls, arg1=None): ''' :returns: HumanLimit :rtype: UnityEngine.HumanLimit ''' pass @staticmethod def get_useDefaultValues(): ''' :returns: Boolean :rtype: System.Boolean ''' pass @staticmethod def set_useDefaultValues(arg1): ''' :param arg1: Boolean :type arg1: System.Boolean or bool ''' pass @staticmethod def get_min(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_min(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_max(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_max(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_center(): ''' :returns: Vector3 :rtype: UnityEngine.Vector3 ''' pass @staticmethod def set_center(arg1): ''' :param arg1: Vector3 :type arg1: UnityEngine.Vector3 ''' pass @staticmethod def get_axisLength(): ''' :returns: Single :rtype: System.Single ''' pass @staticmethod def set_axisLength(arg1): ''' :param arg1: Single :type arg1: System.Single or float ''' pass @staticmethod def Equals(arg1): ''' :param arg1: Object :type arg1: System.Object :returns: Boolean :rtype: System.Boolean ''' pass @staticmethod def ToString(): ''' :returns: String :rtype: System.String ''' pass @staticmethod def GetHashCode(): ''' :returns: Int32 :rtype: System.Int32 ''' pass @staticmethod def GetType(): ''' :returns: Type :rtype: System.Type ''' pass

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null

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1

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5

6d1bbef02168a336cfae0f31eeb3a6fca95d4be5

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py

Python

stayhome/business/migrations/0036_auto_20200407_2349.py

mageo/stayhomech

5afe922b13f0350a79eaff0401709f99c5a31e8b

[ "MIT" ]

3

2020-03-20T11:01:57.000Z

2020-03-20T16:29:12.000Z

stayhome/business/migrations/0036_auto_20200407_2349.py

stayhomech/stayhomech

5afe922b13f0350a79eaff0401709f99c5a31e8b

[ "MIT" ]

74

2020-03-23T21:35:07.000Z

2020-04-27T12:55:50.000Z

stayhome/business/migrations/0036_auto_20200407_2349.py

mageo/stayhomech

5afe922b13f0350a79eaff0401709f99c5a31e8b

[ "MIT" ]

3

2020-03-20T11:02:35.000Z

2020-03-20T16:29:23.000Z

# Generated by Django 3.0.4 on 2020-04-07 21:49 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('business', '0035_auto_20200328_1636'), ] operations = [ migrations.AddIndex( model_name='businesshistoryevent', index=models.Index(fields=['parent', '-time', 'new_status'], name='business_bu_parent__879b5a_idx'), ), migrations.AddIndex( model_name='businesshistoryevent', index=models.Index(fields=['parent', 'event_type', '-time', 'new_status'], name='business_bu_parent__ab97e2_idx'), ), migrations.AddIndex( model_name='requesthistoryevent', index=models.Index(fields=['parent', '-time', 'new_status'], name='business_re_parent__de5625_idx'), ), migrations.AddIndex( model_name='requesthistoryevent', index=models.Index(fields=['parent', 'event_type', '-time', 'new_status'], name='business_re_parent__512358_idx'), ), ]

35.333333

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1

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null

0

5

6d5443689bd319ee0ac11297ab3a6a37f839f380

587

py

Python

test/reflect/StubClass.py

pip-services-python/pip-services-commons-python

ecfe0aab2b1442ed3b550115dd2c2472537452de

[ "MIT" ]

null

test/reflect/StubClass.py

pip-services-python/pip-services-commons-python

ecfe0aab2b1442ed3b550115dd2c2472537452de

[ "MIT" ]

null

test/reflect/StubClass.py

pip-services-python/pip-services-commons-python

ecfe0aab2b1442ed3b550115dd2c2472537452de

[ "MIT" ]

2

2020-03-11T21:41:13.000Z

2020-03-14T00:26:20.000Z

import datetime class StubClass: _private_field = 123 public_field = "ABC" _public_prop = datetime.datetime.now() def __init__(self): pass def _get_private_prop(self): return 543 def _set_private_prop(self, value): pass def get_public_prop(self): return self._public_prop def set_public_prop(self, value): self._public_prop = value public_prop = property(get_public_prop, set_public_prop) def _private_method(self): pass def public_method(self, arg1, arg2): return arg1 + arg2

18.935484

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587

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0.270869

587

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1

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1

0

1

0

5

edb0920c0024a744c3eb2a5c876cc1c52e470c96

48

py

Python

02_syntax/main.py

jmmedel/Python-tutorial-Youtube

d3319a8744cc636ad6a4fb3d90889278806a6cff

[ "MIT" ]

null

02_syntax/main.py

jmmedel/Python-tutorial-Youtube

d3319a8744cc636ad6a4fb3d90889278806a6cff

[ "MIT" ]

null

02_syntax/main.py

jmmedel/Python-tutorial-Youtube

d3319a8744cc636ad6a4fb3d90889278806a6cff

[ "MIT" ]

2

2020-07-16T05:10:35.000Z

2020-09-08T01:43:10.000Z

if 5 > 2: print("Hello World kagaya john")

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5

edd4566a085dece97c4e5bc22da7f377b43d5c5e

81

py

Python

rmexp/client/__init__.py

junjuew/scalable-edge-native-applications

1ace9ce71bef267880049633160e7cb74c57bddb

[ "Apache-2.0" ]

1

2021-05-12T12:49:15.000Z

rmexp/client/__init__.py

junjuew/scalable-edge-native-applications

1ace9ce71bef267880049633160e7cb74c57bddb

[ "Apache-2.0" ]

null

rmexp/client/__init__.py

junjuew/scalable-edge-native-applications

1ace9ce71bef267880049633160e7cb74c57bddb

[ "Apache-2.0" ]

1

2021-11-21T08:12:19.000Z

from rmexp.client.video import VideoClient, RTVideoClient, RTImageSequenceClient

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1

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1

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5

edef03ce6c08a09dd5595a733a6838c5a664cd81

178

py

Python

project/core/profiles/admin.py

robwise1/birdr

fa6cf9036baebb735bff9a59abc4c04867e40d61

[ "MIT" ]

null

project/core/profiles/admin.py

robwise1/birdr

fa6cf9036baebb735bff9a59abc4c04867e40d61

[ "MIT" ]

null

project/core/profiles/admin.py

robwise1/birdr

fa6cf9036baebb735bff9a59abc4c04867e40d61

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from profiles.models import User class UserAdmin(admin.ModelAdmin): pass admin.site.register(User, UserAdmin)

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0

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0

null

0

1

0

5

edefdf7b031dd7b5ef7f4fe55e248f4ffe4cd823

40

py

Python

scripts/extraction/__init__.py

johnsbuck/nanogiants-hackathon-2021

de061db3827915b4c3389d6d666f956f059d7cb0

[ "MIT" ]

null

scripts/extraction/__init__.py

johnsbuck/nanogiants-hackathon-2021

de061db3827915b4c3389d6d666f956f059d7cb0

[ "MIT" ]

null

scripts/extraction/__init__.py

johnsbuck/nanogiants-hackathon-2021

de061db3827915b4c3389d6d666f956f059d7cb0

[ "MIT" ]

null

from .extractor import extract_features

20

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0.944444

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null

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null

0

1

0

1

0

5

edf2a992a40bbcb3675650df8b6d393852631c63

337

py

Python

main/middlewares.py

lesnik512/smena-school

f51149d9086b3e4bd625f743fc59767b14374edd

[ "MIT" ]

null

main/middlewares.py

lesnik512/smena-school

f51149d9086b3e4bd625f743fc59767b14374edd

[ "MIT" ]

null

main/middlewares.py

lesnik512/smena-school

f51149d9086b3e4bd625f743fc59767b14374edd

[ "MIT" ]

null

from main.utils import create_basket class BasketMiddleware(object): def __init__(self, get_response): self.get_response = get_response def __call__(self, request): basket = create_basket(request) setattr(request, 'basket', basket) response = self.get_response(request) return response

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5

6110ea68081db700eb7141b857d960253b7b8816

4,367

py

Python

python/flareapps/django/common/tests.py

flarebyte/wonderful-bazar

810514cd7d73505b11d738f8b84d91842d18d074

[ "MIT" ]

null

python/flareapps/django/common/tests.py

flarebyte/wonderful-bazar

810514cd7d73505b11d738f8b84d91842d18d074

[ "MIT" ]

null

python/flareapps/django/common/tests.py

flarebyte/wonderful-bazar

810514cd7d73505b11d738f8b84d91842d18d074

[ "MIT" ]

null

""" This file demonstrates two different styles of tests (one doctest and one unittest). These will both pass when you run "manage.py test". TODO: to transform this in unit test Replace these with more appropriate tests for your application. """ from django.test import TestCase import re class SimpleTest(TestCase): def test_basic_addition(self): """ Tests that 1 + 1 always equals 2. """ self.failUnlessEqual(1 + 1, 2) __test__ = {"doctest": """ Another way to test that 1 + 1 is equal to 2. >>> 1 + 1 == 2 True """} def printmatch(myregex,testtext): match = myregex.match(testtext) if match is None: print "---no match---",testtext else: print '<Match: %r, groups=%r>' % (match.group(), match.groups()) regex_ImageURLField = re.compile( r'(^https?://' # http:// or https:// r'(?:(?:[A-Z0-9-]+\.)+[A-Z]{2,6}|' #domain... r'localhost|' #localhost... r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip r'(?::\d+)?' # optional port r'(?:[A-Z0-9-/._]+)' #image path r'(?:\.png|\.jpg|\.gif|\.svg)$)|' # or with placeholders r'(^\{media\}/\S+/\{locale\}/\{ext\}/\{size\}/' # {media}/application/{locale}/{ext}/{size}/ r'(?:[A-Z0-9-/._]+)' #image path r'(?:\-\{size\}\.\{ext\})$)' #-{size}.{ext} , re.IGNORECASE) #should not match printmatch(regex_ImageURLField,"/flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.png") printmatch(regex_ImageURLField,"http://10.12.25.26/flarebyte/en/png/company/8/java.applications-594x594-svg") printmatch(regex_ImageURLField,"http://flarebyte.com") printmatch(regex_ImageURLField,"http://localhost:8000/admin/") printmatch(regex_ImageURLField,"{media}/flarebyte/{locale}/{ext}/{size}/company/contact/java-applications.help") print "--should match>>>" #should match printmatch(regex_ImageURLField,"http://flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.png") printmatch(regex_ImageURLField,"https://flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.gif") printmatch(regex_ImageURLField,"http://flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.jpg") printmatch(regex_ImageURLField,"http://10.12.25.26/flarebyte/en/png/company/8/java.applications-594x594.gif") printmatch(regex_ImageURLField,"http://10.12.25.26/flarebyte/en/png/company/8/java.applications-594x594.svg") printmatch(regex_ImageURLField,"http://newsimg.bbc.co.uk/media/images/45437000/jpg/_45437564_tom1.jpg") printmatch(regex_ImageURLField,"{media}/flarebyte/{locale}/{ext}/{size}/company/contact/java-applicati.ons-{size}.{ext}") #----------------- regex_PageURLField = re.compile( r'(^https?://' # http:// or https:// r'(?:(?:[A-Z0-9-]+\.)+[A-Z]{2,6}|' #domain... r'localhost|' #localhost... r'\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3})' # ...or ip r'(?::\d+)?' # optional port r'(?:[A-Z0-9-/._]+$))|' #image path r'(^\{xhtml\}/\S+/\{locale\}/\{size\}/\{options\}/' # {xhtml}/flarebyte/{locale}/{size}/{options}/ r'(?:[A-Z0-9-/._]+)$)' #image path , re.IGNORECASE) print "\n\n\n" #should not match printmatch(regex_PageURLField,"/flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.png") printmatch(regex_PageURLField,"http://10.12.25.26/flarebyte/en/png/company/8/java.applications-594x594-svg") printmatch(regex_PageURLField,"http://flarebyte.com") printmatch(regex_PageURLField,"http://localhost:8000/admin/") printmatch(regex_PageURLField,"{media}/flarebyte/{locale}/{ext}/{size}/company/contact/java-applications.help") print "--should match>>>" #should match printmatch(regex_PageURLField,"http://flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.png") printmatch(regex_PageURLField,"https://flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594.gif") printmatch(regex_PageURLField,"http://flairbyte.com/flarebyte/en/png/company/8/java.applications-594x594") printmatch(regex_PageURLField,"http://10.12.25.26/flarebyte/en/png/company/8/java.applications-594x594.g") printmatch(regex_PageURLField,"http://10.12.25.26/flarebyte/en/png/company/8/java.applications-594x594.svg") printmatch(regex_PageURLField,"http://newsimg.bbc.co.uk/media/images/45437000/jpg/_45437564_tom1.jpg") printmatch(regex_PageURLField,"{xhtml}/flarebyte/{locale}/{size}/{options}/company/contact/java-applicati.ons")

45.020619

121

0.69384

601

4,367

4.975042

0.221298

0.120401

0.065552

0.098328

0.743478

0.671237

0.646823

0.641806

0

0.058291

0.088619

4,367

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122

45.489583

0.692965

0.082894

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null

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0.030769

null

0.461538

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null

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1

0

null

0

1

0

1

0

1

0

5

611a45f4bc40e1dd95b9bb217a4dc7d1f1128056

173

py

Python

test/wait-until/test.py

Rippletek/fnfig

156e87d23ab9a7521056c7d5059037fa2c15a274

[ "Apache-2.0" ]

1

2021-04-13T04:10:36.000Z

test/foreach/test.py

Rippletek/fnfig

156e87d23ab9a7521056c7d5059037fa2c15a274

[ "Apache-2.0" ]

1

2021-04-09T03:43:38.000Z

test/wait/test.py

Rippletek/fnfig

156e87d23ab9a7521056c7d5059037fa2c15a274

[ "Apache-2.0" ]

null

import fig_runner import main from fig_utils import FakeFDL if __name__ == "__main__": fig_runner._initializer_runner() FakeFDL(fig_runner._handler, {}, {}).run()

19.222222

46

0.734104

22

173

5.090909

0.545455

0.241071

0

0.150289

173

8

47

21.625

0.761905

0

0.046243

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b6834a153c62da445d8df0e653190f65fe16163d

212

py

Python

Task1E.py

Yichen-Cai-yc539/Lab87-Flood-Warning-System

22f741c5a14e3350923385d23358167782ad4354

[ "MIT" ]

null

Task1E.py

Yichen-Cai-yc539/Lab87-Flood-Warning-System

22f741c5a14e3350923385d23358167782ad4354

[ "MIT" ]

null

Task1E.py

Yichen-Cai-yc539/Lab87-Flood-Warning-System

22f741c5a14e3350923385d23358167782ad4354

[ "MIT" ]

null

from floodsystem.stationdata import build_station_list from floodsystem.geo import rivers_by_station_number def run(): stations = build_station_list() print(rivers_by_station_number(stations, 10)) run()

26.5

54

0.811321

29

212

5.586207

0.551724

0.185185

0.197531

0.259259

0

0.010695

0.117925

212

8

55

26.5

0.855615

0

1

0.166667

false

0

0.333333

0

0.5

0.166667

1

0

null

0

1

0

1

0

null

0

1

0

5

b6a21260b2b06037d82300149df47572badf2e10

162

py

Python

django_toyo_auth/providers/toyo/urls.py

ayame-q/django-toyo-auth

8465d9ce79e9fab572e5a68492206ee981e7873e

[ "MIT" ]

null

django_toyo_auth/providers/toyo/urls.py

ayame-q/django-toyo-auth

8465d9ce79e9fab572e5a68492206ee981e7873e

[ "MIT" ]

null

django_toyo_auth/providers/toyo/urls.py

ayame-q/django-toyo-auth

8465d9ce79e9fab572e5a68492206ee981e7873e

[ "MIT" ]

null

from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns from .provider import ToyoProvider urlpatterns = default_urlpatterns(ToyoProvider)

23.142857

75

0.864198

17

162

8.117647

0.647059

0.26087

0

0.006757

0.08642

162

6

76

27

0.925676

0

1

0

false

0

0.666667

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

b6a5d03bd0fbbcad49efe79181f32a9c574c95d6

108

py

Python

Test/Client.py

thekakodkar/Mapper

341943d847157c4bc5e0c32965008f11071ed608

[ "MIT" ]

1

2021-08-09T12:10:40.000Z

Test/Client.py

thekakodkar/BODtoJSON

341943d847157c4bc5e0c32965008f11071ed608

[ "MIT" ]

null

Test/Client.py

thekakodkar/BODtoJSON

341943d847157c4bc5e0c32965008f11071ed608

[ "MIT" ]

null

from config import config from BODtoJSON.BODtoJSON import convert print(convert(config.input_var, 'Sync'))

21.6

40

0.814815

15

108

5.8

0.6

0

0.101852

108

4

41

27

0.896907

0

0.037037

0

1

0

true

0

0.666667

0

0.666667

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

fcc4ce20572d1812444863f7088739fe143ab2a4

5,649

py

Python

zakupki/core/models.py

kgazha/zakupki

68ca4856fbf0dfc16ecd311460e46472482e5721

[ "MIT" ]

null

zakupki/core/models.py

kgazha/zakupki

68ca4856fbf0dfc16ecd311460e46472482e5721

[ "MIT" ]

null

zakupki/core/models.py

kgazha/zakupki

68ca4856fbf0dfc16ecd311460e46472482e5721

[ "MIT" ]

null

from django.db import models class Resource(models.Model): code = models.CharField(max_length=255) path = models.CharField(max_length=255) description = models.CharField(max_length=255, blank=True, null=True) def __str__(self): return self.path class PurchaseTypeControl(models.Model): code = models.CharField(max_length=255) description = models.CharField(max_length=255, blank=True, null=True) def __str__(self): return self.code class PlacingWay(models.Model): code = models.CharField(max_length=255) name = models.CharField(max_length=255) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class Organization(models.Model): reg_num = models.CharField(max_length=255) cons_registry_num = models.CharField(max_length=255, blank=True, null=True) name = models.CharField(max_length=255, blank=True, null=True) full_name = models.TextField(blank=True, null=True) post_address = models.CharField(max_length=255, blank=True, null=True) fact_address = models.CharField(max_length=255, blank=True, null=True) inn = models.CharField(max_length=255, unique=True) kpp = models.CharField(max_length=255, blank=True, null=True) okato = models.CharField(max_length=255, blank=True, null=True) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.full_name class FinanceSource(models.Model): name = models.TextField() date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class Purchase(models.Model): object_info = models.TextField(blank=True, null=True) purchase_number = models.CharField(max_length=255, unique=True) placing_way = models.ForeignKey(PlacingWay, on_delete=models.SET_NULL, blank=True, null=True) max_price = models.FloatField(blank=True, null=True) price = models.FloatField(blank=True, null=True) sign_date = models.DateField(blank=True, null=True) protocol_date = models.DateField(blank=True, null=True) direct_date = models.DateTimeField(blank=True, null=True) doc_publish_date = models.DateTimeField(blank=True, null=True) finance_source = models.ForeignKey(FinanceSource, on_delete=models.SET_NULL, blank=True, null=True) def __str__(self): return self.purchase_number class OrganizationRole(models.Model): name = models.CharField(max_length=255) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class OrganizationPurchase(models.Model): organization = models.ForeignKey(Organization, on_delete=models.CASCADE, blank=True, null=True) purchase = models.ForeignKey(Purchase, on_delete=models.CASCADE, blank=True, null=True) organization_role = models.ForeignKey(OrganizationRole, on_delete=models.CASCADE, blank=True, null=True) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class OKPD(models.Model): code = models.CharField(max_length=255) name = models.TextField(blank=True, null=True) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class OKPD2(models.Model): code = models.CharField(max_length=255) name = models.TextField(blank=True, null=True) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class OKEI(models.Model): code = models.CharField(max_length=255) national_code = models.CharField(max_length=255) full_name = models.CharField(max_length=255) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class PurchaseObject(models.Model): okpd = models.ForeignKey(OKPD, on_delete=models.SET_NULL, blank=True, null=True) okpd2 = models.ForeignKey(OKPD2, on_delete=models.SET_NULL, blank=True, null=True) okei = models.ForeignKey(OKEI, on_delete=models.SET_NULL, blank=True, null=True) purchase = models.ForeignKey(Purchase, on_delete=models.CASCADE) price = models.FloatField(blank=True, null=True) quantity = models.FloatField(blank=True, null=True) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) class Archive(models.Model): resource = models.ForeignKey(Resource, on_delete=models.CASCADE, blank=True, null=True) name = models.CharField(max_length=255) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name class File(models.Model): name = models.CharField(max_length=255) archive = models.ForeignKey(Archive, on_delete=models.CASCADE) purchase = models.ForeignKey(Purchase, on_delete=models.SET_NULL, blank=True, null=True) purchase_type_control = models.ForeignKey(PurchaseTypeControl, on_delete=models.SET_NULL, blank=True, null=True) date_added = models.DateTimeField(auto_now_add=True) date_modified = models.DateTimeField(auto_now=True) def __str__(self): return self.name

36.445161

116

0.743671

749

5,649

5.376502

0.108144

0.069282

0.100075

0.130867

0.803576

0.801589

0.773777

0.672461

0.61485

0.538366

0

0.015628

0.150469

5,649

154

117

36.681818

0.823505

0

0.530973

0

1

0.115044

false

0

0.00885

0.115044

1

0

null

0

1

0

null

0

1

0

5

fcd3db096351297de5fea1fb12c11e0237a8cee4

210

py

Python

boucanpy/core/api_token/__init__.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

34

2019-11-16T17:22:15.000Z

2022-02-11T23:12:46.000Z

boucanpy/core/api_token/__init__.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

1

2021-02-09T09:34:55.000Z

2021-02-10T21:46:20.000Z

boucanpy/core/api_token/__init__.py

bbhunter/boucanpy

7d2fb105e7b1e90653a511534fb878bb62d02f17

[ "MIT" ]

9

2019-11-18T22:18:07.000Z

2021-02-08T13:23:51.000Z

from .repos import ApiTokenRepo from .responses import ApiTokenResponse, ApiTokensResponse, SensitiveApiTokenResponse from .data import ApiTokenData, SensitiveApiTokenData from .forms import ApiTokenCreateForm

42

85

0.87619

19

210

9.684211

0.684211

0

0.090476

210

4

86

52.5

0.963351

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1e3d15881b76267a95e0ce895586afe1ce713bf2

131

py

Python

easy_dash/__init__.py

kmader/easy_dash

1f98911c6fc7d1136e7d8b609d07a235227cc7c8

[ "Apache-2.0" ]

3

2019-04-03T20:47:33.000Z

2021-02-09T21:21:22.000Z

easy_dash/__init__.py

kmader/easy_dash

1f98911c6fc7d1136e7d8b609d07a235227cc7c8

[ "Apache-2.0" ]

5

2019-04-04T06:56:41.000Z

2019-10-04T12:50:18.000Z

easy_dash/__init__.py

kmader/easy_dash

1f98911c6fc7d1136e7d8b609d07a235227cc7c8

[ "Apache-2.0" ]

1

2020-07-18T06:13:32.000Z

from __future__ import print_function from .easydash import EasyDash # noqa: F401 from .version import __version__ # noqa: F401

26.2

46

0.793893

17

131

5.588235

0.529412

0.168421

0

0.054545

0.160305

131

4

47

32.75

0.809091

0.160305

0

1

0

true

0

1

0

1

0.333333

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

1e70bd80aa0978153345eb922318b55e0ef734ff

8,981

py

Python

models/roberta_sr_simple.py

alibaba/Retrieval-based-Pre-training-for-Machine-Reading-Comprehension

b27dc55446a29a53af7fffdad8628ccb545420da

[ "Apache-2.0" ]

7

2021-06-16T01:40:23.000Z

2021-12-04T02:40:35.000Z

models/roberta_sr_simple.py

SparkJiao/Retrieval-based-Pre-training-for-Machine-Reading-Comprehension

9ccad31bd0bf2216004cf729d1d511fc3e0b77c9

[ "Apache-2.0" ]

1

2021-08-16T09:10:05.000Z

2021-08-25T08:44:44.000Z

models/roberta_sr_simple.py

SparkJiao/Retrieval-based-Pre-training-for-Machine-Reading-Comprehension

9ccad31bd0bf2216004cf729d1d511fc3e0b77c9

[ "Apache-2.0" ]

3

2021-09-13T02:03:37.000Z

2021-10-11T18:48:21.000Z

import torch from torch import nn from torch.nn import functional as F from transformers import RobertaConfig, RobertaModel from transformers.modeling_roberta import RobertaPreTrainedModel from models.roberta_models import RobertaHAMCRCConfig from modules import layers from modules.layers import simple_circle_loss, sentence_sum, mul_sentence_sum, MHAToken, fix_circle_loss, \ cross_entropy_loss_and_accuracy, mask_scores_with_labels from modules.modeling_reusable_graph_attention import SentenceReorderDecoder, SentenceSum, SentenceReorderHead, \ SentenceReorderWithPosition class RobertaModelHiForMCRC(RobertaPreTrainedModel): model_prefix = 'roberta_h_mcrc' config_class = RobertaHAMCRCConfig def __init__(self, config: RobertaHAMCRCConfig): super().__init__(config) self.roberta = RobertaModel(config) self.q_sum = nn.Linear(config.hidden_size, config.hidden_size) self.s_sum = nn.Linear(config.hidden_size, config.hidden_size) self.use_new_pro = config.use_new_pro if self.use_new_pro: self.que_pro = nn.Linear(config.hidden_size, config.hidden_size) self.key_pro = nn.Linear(config.hidden_size, config.hidden_size) # self.val_pro = nn.Linear(config.hidden_size, config.hidden_size) else: self.project1 = nn.Linear(config.hidden_size, config.hidden_size) self.project2 = nn.Linear(config.hidden_size, config.hidden_size) if config.cls_type == 1: self.pooler = nn.Sequential( nn.Linear(config.hidden_size * 2, config.hidden_size), nn.Tanh() ) else: self.pooler = nn.Linear(config.hidden_size * 2, config.hidden_size) self.classifier = nn.Linear(config.hidden_size, 1) self.dropout = nn.Dropout(config.hidden_dropout_prob) self.init_weights() @staticmethod def fold_tensor(x): if x is None: return None return x.reshape(x.size(0) * x.size(1), *x.size()[2:]) def project(self, _query, _key): if self.use_new_pro: return self.que_pro(_query), self.key_pro(_key) else: return self.project1(_query), self.project2(_key) def forward(self, input_ids, attention_mask=None, token_type_ids=None, sentence_index=None, sentence_mask=None, sent_word_mask=None, labels=None, **kwargs): batch, num_choice, _ = input_ids.size() input_ids = self.fold_tensor(input_ids) token_type_ids = self.fold_tensor(token_type_ids) attention_mask = self.fold_tensor(attention_mask) sentence_index = self.fold_tensor(sentence_index) sent_word_mask = self.fold_tensor(sent_word_mask) sentence_mask = self.fold_tensor(sentence_mask) seq_output = self.roberta(input_ids=input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids)[0] sentence_index, mask, sent_mask = sentence_index, sent_word_mask, sentence_mask fb, sent_num, seq_len = mask.size() sentence_index = sentence_index.unsqueeze(-1).expand( -1, -1, -1, self.config.hidden_size ).reshape(fb, sent_num * seq_len, self.config.hidden_size) cls_h = seq_output[:, 0] hidden = seq_output.gather(dim=1, index=sentence_index).reshape( fb, sent_num, seq_len, -1) hidden = hidden * (1 - mask.unsqueeze(-1)) q_op_hidden = hidden[:, :2].reshape(fb, 1, 2 * seq_len, -1) q_op_word_mask = mask[:, :2].reshape(fb, 1, 2 * seq_len) query_h, _ = sentence_sum( self.q_sum(cls_h), q_op_hidden, q_op_word_mask ) query_h = query_h.squeeze(1) p_hidden = hidden[:, 2:] p_word_mask = mask[:, 2:] sent_h, _ = sentence_sum( self.s_sum(query_h), p_hidden, p_word_mask ) _pro_query, _pro_key = self.project(query_h, sent_h) scores = torch.einsum( "bh,bsh->bs", _pro_query, _pro_key ) alpha = (scores + sent_mask[:, 2:] * -10000.0).softmax(dim=-1) attended_h = torch.einsum("bs,bsh->bh", alpha, sent_h) cls_input = torch.cat([query_h, attended_h], dim=-1) logits = self.classifier(self.dropout(self.pooler(cls_input))).view(batch, num_choice) outputs = (logits,) if labels is not None: loss = F.cross_entropy(logits, labels, ignore_index=-1) outputs = (loss,) + outputs _, pred = logits.max(dim=-1) acc = torch.sum(pred == labels) / (1.0 * batch) outputs = outputs + (acc,) return outputs class RobertaModelHiGForMCRC(RobertaPreTrainedModel): model_prefix = 'roberta_g_mcrc' config_class = RobertaHAMCRCConfig def __init__(self, config: RobertaHAMCRCConfig): super().__init__(config) self.roberta = RobertaModel(config) self.q_sum = nn.Linear(config.hidden_size, config.hidden_size) self.s_sum = nn.Linear(config.hidden_size, config.hidden_size) self.project1 = nn.Linear(config.hidden_size, config.hidden_size) self.project2 = nn.Linear(config.hidden_size, config.hidden_size) self.v_sum = nn.Linear(config.hidden_size, 1) if config.cls_type == 1: self.pooler = nn.Sequential( nn.Linear(config.hidden_size, config.hidden_size), nn.Tanh() ) else: self.pooler = nn.Linear(config.hidden_size, config.hidden_size) self.classifier = nn.Linear(config.hidden_size, 1) self.dropout = nn.Dropout(config.hidden_dropout_prob) self.init_weights() @staticmethod def fold_tensor(x): if x is None: return None return x.reshape(x.size(0) * x.size(1), *x.size()[2:]) def forward(self, input_ids, attention_mask=None, token_type_ids=None, sentence_index=None, sentence_mask=None, sent_word_mask=None, labels=None, **kwargs): batch, num_choice, _ = input_ids.size() input_ids = self.fold_tensor(input_ids) token_type_ids = self.fold_tensor(token_type_ids) attention_mask = self.fold_tensor(attention_mask) sentence_index = self.fold_tensor(sentence_index) sent_word_mask = self.fold_tensor(sent_word_mask) sentence_mask = self.fold_tensor(sentence_mask) seq_output = self.roberta(input_ids=input_ids, attention_mask=attention_mask, token_type_ids=token_type_ids)[0] sentence_index, mask, sent_mask = sentence_index, sent_word_mask, sentence_mask fb, sent_num, seq_len = mask.size() sentence_index = sentence_index.unsqueeze(-1).expand( -1, -1, -1, self.config.hidden_size ).reshape(fb, sent_num * seq_len, self.config.hidden_size) cls_h = seq_output[:, 0] hidden = seq_output.gather(dim=1, index=sentence_index).reshape( fb, sent_num, seq_len, -1) hidden = hidden * (1 - mask.unsqueeze(-1)) q_op_hidden = hidden[:, :2].reshape(fb, 1, 2 * seq_len, -1) q_op_word_mask = mask[:, :2].reshape(fb, 1, 2 * seq_len) query_h, _ = sentence_sum( self.q_sum(cls_h), q_op_hidden, q_op_word_mask ) query_h = query_h.squeeze(1) sent_h, _ = sentence_sum( self.s_sum(query_h), hidden, mask ) scores = torch.einsum( "bh,bsh->bs", self.project1(query_h), self.project2(sent_h) ) alpha = (scores + sent_mask * -10000.0).softmax(dim=-1) v_scores = self.v_sum(hidden).squeeze(-1) v_alpha = torch.softmax(v_scores + mask * -10000.0, dim=-1) v_sent_h = torch.einsum("bst,bsth->bsh", v_alpha, hidden) attended_h = torch.einsum("bs,bsh->bh", alpha, v_sent_h) # cls_input = torch.cat([query_h, attended_h], dim=-1) logits = self.classifier(self.dropout(self.pooler(attended_h))).view(batch, num_choice) outputs = (logits,) if labels is not None: loss = F.cross_entropy(logits, labels, ignore_index=-1) outputs = (loss,) + outputs _, pred = logits.max(dim=-1) acc = torch.sum(pred == labels) / (1.0 * batch) outputs = outputs + (acc,) return outputs roberta_models_for_mcrc_simple_map = { RobertaModelHiForMCRC.model_prefix: RobertaModelHiForMCRC, RobertaModelHiGForMCRC.model_prefix: RobertaModelHiGForMCRC }

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5

1e76b40b4f8c0c286576dd6a9691fbb612cab54e

167

py

Python

Linear/Separate/test.py

jesusdalvarado/CalculiX-Examples

79150c1167026cb6c0dfd2bd83f8abed144dcd75

[ "MIT" ]

2

2019-03-16T09:22:21.000Z

2019-03-16T09:22:23.000Z

Linear/Separate/test.py

jesusdalvarado/CalculiX-Examples

79150c1167026cb6c0dfd2bd83f8abed144dcd75

[ "MIT" ]

null

Linear/Separate/test.py

jesusdalvarado/CalculiX-Examples

79150c1167026cb6c0dfd2bd83f8abed144dcd75

[ "MIT" ]

1

2019-04-26T14:35:22.000Z

#!/usr/bin/python import os os.system("cgx -b pre.fbd") os.system("ccx nodal") os.system("ccx element") os.system("cgx -b post-n.fbd") os.system("cgx -b post-e.fbd")

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94cd78dd269ae2d8e12c28fb59fd1f1b671d6c89

812

py

Python

tests/rater/test_full.py

bst-mug/acres

46875edbb5619862064cf2380c8e167a418c1cac

[ "Apache-2.0" ]

1

2018-06-19T08:53:22.000Z

tests/rater/test_full.py

bst-mug/acres

46875edbb5619862064cf2380c8e167a418c1cac

[ "Apache-2.0" ]

81

2018-05-15T13:36:00.000Z

2020-08-19T14:47:05.000Z

tests/rater/test_full.py

bst-mug/acres

46875edbb5619862064cf2380c8e167a418c1cac

[ "Apache-2.0" ]

2

2018-02-12T10:42:11.000Z

2018-02-17T11:35:15.000Z

from acres.rater import full def test__contain_acronym(): # Baseline assert not full._contain_acronym("Elektrokardiogramm") assert full._contain_acronym("VSM Bypass") assert full._contain_acronym("Gamma GT") # Only acronym assert full._contain_acronym("EKG") def test__compute_full_valid(): # Full form has parenthesis # assert 1 == full._compute_full_valid("Abcde(fghi") # Full form too short # assert 2 == full._compute_full_valid("Lasix") # Full form starts with stopword # assert 4 == full._compute_full_valid("Auf das") # Full form has no capitals assert 8 == full._compute_full_valid("ambulanz") # Full form has no capitals assert 16 == full._compute_full_valid("VSM Bypass") assert 16 == full._compute_full_valid("Thrombo ASS")

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94ec7f5522879b03c7bdff61d29f61f2188f4bdf

64

py

Python

quadrant/__init__.py

e-champenois/quadrant

6d25b8d2379a2739f1a7f60dcc4f2cbf4c556b07

[ "MIT" ]

null

quadrant/__init__.py

e-champenois/quadrant

6d25b8d2379a2739f1a7f60dcc4f2cbf4c556b07

[ "MIT" ]

null

quadrant/__init__.py

e-champenois/quadrant

6d25b8d2379a2739f1a7f60dcc4f2cbf4c556b07

[ "MIT" ]

1

2022-02-22T19:36:44.000Z

from .quadrant import foldQuadrant, unfoldQuadrant, resizeFolded

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0.875

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5

94eeb8749e11e9543af8a4269a86e74b9f2402d3

14,824

py

Python

fn_html2pdf/fn_html2pdf/util/customize.py

kennyleeshim1ibmcom/resilient-community-apps

fcbf6a9fbed912b0ca2620485bd2ba8cda7e9e92

[ "MIT" ]

null

fn_html2pdf/fn_html2pdf/util/customize.py

kennyleeshim1ibmcom/resilient-community-apps

fcbf6a9fbed912b0ca2620485bd2ba8cda7e9e92

[ "MIT" ]

null

fn_html2pdf/fn_html2pdf/util/customize.py

kennyleeshim1ibmcom/resilient-community-apps

fcbf6a9fbed912b0ca2620485bd2ba8cda7e9e92

[ "MIT" ]

null

# -*- coding: utf-8 -*- """Generate the Resilient customizations required for fn_html2pdf""" from __future__ import print_function from resilient_circuits.util import * def customization_data(client=None): """Produce any customization definitions (types, fields, message destinations, etc) that should be installed by `resilient-circuits customize` """ # This import data contains: # Function inputs: # html2pdf_data # html2pdf_data_type # html2pdf_stylesheet # Message Destinations: # fn_html2pdf # Functions: # html2pdf # Workflows: # example_html2pdf # Rules: # Example: HTML2PDF yield ImportDefinition(u""" eyJzZXJ2ZXJfdmVyc2lvbiI6IHsibWFqb3IiOiAzMSwgIm1pbm9yIjogMCwgImJ1aWxkX251bWJl ciI6IDAsICJ2ZXJzaW9uIjogIjMxLjAuMCJ9LCAiZXhwb3J0X2Zvcm1hdF92ZXJzaW9uIjogMiwg ImlkIjogMSwgImV4cG9ydF9kYXRlIjogMTUzNzIwOTAwMTA1NCwgImZpZWxkcyI6IFt7ImlkIjog NTEsICJuYW1lIjogImluY190cmFpbmluZyIsICJ0ZXh0IjogIlNpbXVsYXRpb24iLCAicHJlZml4 IjogbnVsbCwgInR5cGVfaWQiOiAwLCAidG9vbHRpcCI6ICJXaGV0aGVyIHRoZSBpbmNpZGVudCBp 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1

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1

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5

a208c1ab81f06a501fc4be4cc5236ea278f84a39

29

py

Python

base/__init__.py

MattTitmas/AdventOfCode

36be4f6bf973f77ff93b08dc69c977bb11951f27

[ "MIT" ]

null

base/__init__.py

MattTitmas/AdventOfCode

36be4f6bf973f77ff93b08dc69c977bb11951f27

[ "MIT" ]

null

base/__init__.py

MattTitmas/AdventOfCode

36be4f6bf973f77ff93b08dc69c977bb11951f27

[ "MIT" ]

null

from .base_day import BaseDay

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0.862069

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null

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1

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5

bf5bf15a25e816b94cdfbee417e58c162f8ae277

1,071

py

Python

test/test_variables_group_update_dto.py

OpenSILEX/opensilexClientToolsPython

41b1e7e707670ecf1b2c06d79bdd9749945788cb

[ "RSA-MD" ]

null

test/test_variables_group_update_dto.py

OpenSILEX/opensilexClientToolsPython

41b1e7e707670ecf1b2c06d79bdd9749945788cb

[ "RSA-MD" ]

7

2021-05-25T14:06:04.000Z

2021-11-05T15:42:14.000Z

test/test_variables_group_update_dto.py

OpenSILEX/opensilexClientToolsPython

41b1e7e707670ecf1b2c06d79bdd9749945788cb

[ "RSA-MD" ]

null

# coding: utf-8 """ OpenSilex API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501 OpenAPI spec version: INSTANCE-SNAPSHOT Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import unittest import opensilexClientToolsPython from opensilexClientToolsPython.models.variables_group_update_dto import VariablesGroupUpdateDTO # noqa: E501 from opensilexClientToolsPython.rest import ApiException class TestVariablesGroupUpdateDTO(unittest.TestCase): """VariablesGroupUpdateDTO unit test stubs""" def setUp(self): pass def tearDown(self): pass def testVariablesGroupUpdateDTO(self): """Test VariablesGroupUpdateDTO""" # FIXME: construct object with mandatory attributes with example values # model = opensilexClientToolsPython.models.variables_group_update_dto.VariablesGroupUpdateDTO() # noqa: E501 pass if __name__ == '__main__': unittest.main()

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1

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5

bf60f2f62b106d13b769bcab71f6c572f479fb8d

152

py

Python

ex13a.py

arunkumarang/python

1960e285dfe2ef54d2e3ab37584bfef8b24ecca9

[ "Apache-2.0" ]

null

ex13a.py

arunkumarang/python

1960e285dfe2ef54d2e3ab37584bfef8b24ecca9

[ "Apache-2.0" ]

null

ex13a.py

arunkumarang/python

1960e285dfe2ef54d2e3ab37584bfef8b24ecca9

[ "Apache-2.0" ]

null

from sys import argv script, name, dob = argv #print "Your Application:", script print "Your Name: Mr/Mrs/Ms.", name print "Your Date of birth:", dob

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null

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5

bf6f3f148cd5b4889df77edf5f1ed4d374a73fa7

139

py

Python

groklog/filter_manager/__init__.py

apockill/groklog

3d7de51086851fc68dba6ae77aafd3e5274549c7

[ "MIT" ]

2

2021-07-15T02:18:56.000Z

2022-02-01T19:33:34.000Z

groklog/filter_manager/__init__.py

apockill/groklog

3d7de51086851fc68dba6ae77aafd3e5274549c7

[ "MIT" ]

1

2022-03-08T23:24:00.000Z

groklog/filter_manager/__init__.py

apockill/groklog

3d7de51086851fc68dba6ae77aafd3e5274549c7

[ "MIT" ]

null

from .exceptions import DuplicateFilterError, FilterError, FilterNotFoundError from .filter_manager import ROOT_FILTER_NAME, FilterManager

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139

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0

null

0

1

0

1

0

1

0

5

bfb93391c82389262270b8d04437ed7202d0f0bd

4,045

py

Python

posts/api/views.py

nishant-sachdeva/pause

4d149922816413fa5c06e2afe6bd7000aff110b8

[ "MIT" ]

null

posts/api/views.py

nishant-sachdeva/pause

4d149922816413fa5c06e2afe6bd7000aff110b8

[ "MIT" ]

null

posts/api/views.py

nishant-sachdeva/pause

4d149922816413fa5c06e2afe6bd7000aff110b8

[ "MIT" ]

1

2021-05-26T14:19:26.000Z

from rest_framework.response import Response from login.api.serializers import RegistrationSerializer from rest_framework.authtoken.models import Token from rest_framework import status from login import models from rest_framework.views import APIView from django.contrib.auth.models import User from posts.models import Post from posts.api.serializers import PostSerializer from posts.api.permissions import PostWriterOrAdminOrReadOnly class CreatPostAV(APIView): permission_classes = [PostWriterOrAdminOrReadOnly] def post(self, request): # here we have to make a new post for the user username = request.data.get('username') try: user_object = User.objects.get(username=username) except: return Response({"detail" : "User does not exists"}, status=status.HTTP_400_BAD_REQUEST) data = request.data.copy() data['username'] = user_object.pk serializer = PostSerializer(data = data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) class PostListAV(APIView): permission_classes = [PostWriterOrAdminOrReadOnly] def post(self, request): username = request.data.get('username') try: user_object = User.objects.get(username=username) except: return Response({"detail" : "User does not exists"}, status=status.HTTP_400_BAD_REQUEST) # so we have the user, so, get all posts for the username try: post_list = Post.objects.filter(username=user_object.pk) serializer = PostSerializer(post_list, many=True) return Response(serializer.data, status=status.HTTP_200_OK) except: return Response({"detail" : "Post not found"}, status=status.HTTP_400_BAD_REQUEST) class PostDetailAV(APIView): permission_classes = [PostWriterOrAdminOrReadOnly] def post(self,request): username = request.data.get('username') post_id = request.data.get('post_id') try: user_object = User.objects.get(username=username) except: return Response({"detail" : "User does not exists"}, status=status.HTTP_400_BAD_REQUEST) try: post_object = Post.objects.get(post_id=post_id) except: return Response({"detail" : "Post does not exist"}, status=status.HTTP_400_BAD_REQUEST) self.check_object_permissions(request, post_object) try: serializer = PostSerializer(post_object) return Response(serializer.data, status=status.HTTP_200_OK) except: return Response(serializer.error, status=status.HTTP_400_BAD_REQUEST) def put(self, request): username = request.data.get('username') post_id = request.data.get('post_id') try: user_object = User.objects.get(username=username) except: return Response({"detail" : "User does not exists"}, status=status.HTTP_400_BAD_REQUEST) try: post_object = Post.objects.get(post_id=post_id) except: return Response({"detail" : "Post does not exist"}, status=status.HTTP_400_BAD_REQUEST) self.check_object_permissions(request, post_object) data = request.data.copy() data['username'] = user_object.pk serializer = PostSerializer(post_object, data=data) if serializer.is_valid(): serializer.save() return Response(serializer.data, status=status.HTTP_200_OK) else: return Response(serializer.errors, status=status.HTTP_400_BAD_REQUEST) def delete(self, request): username = request.data.get('username') post_id = request.data.get('post_id') try: user_object = User.objects.get(username=username) except: return Response({"detail" : "User does not exists"}, status=status.HTTP_400_BAD_REQUEST) try: post_object = Post.objects.get(post_id=post_id) except: return Response({"detail" : "Post does not exist"}, status=status.HTTP_400_BAD_REQUEST) self.check_object_permissions(request, post_object) try: post_object.delete() return Response({"detail" : "post deleted"}, status=status.HTTP_200_OK) except: return Response({"detail" : "Could not delete"}, status=status.HTTP_400_BAD_REQUEST)

28.687943

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538

4,045

5.488848

0.154275

0.085337

0.097528

0.083644

0.774467

0.773112

0.763292

0.720623

0.697257

0.679309

0

0.015513

0.139431

4,045

141

92

28.687943

0.832807

0.024969

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0.739583

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0

1

0.052083

false

0

0.104167

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0.40625

0

null

0

1

0

1

0

1

0

null

0

5

44d1a825d597266e76dce8f2ca15cac08f5bcb7c

74

py

Python

pyrigate/utils/__init__.py

pyrigate/pyrigate

366e33ef46ebc7928cf35f2d51ed0855c59d1a68

[ "MIT" ]

1

2018-02-03T23:22:20.000Z

pyrigate/utils/__init__.py

pyrigate/pyrigate

366e33ef46ebc7928cf35f2d51ed0855c59d1a68

[ "MIT" ]

1

2018-05-12T13:55:01.000Z

2018-05-13T00:16:23.000Z

pyrigate/utils/__init__.py

pyrigate/pyrigate

366e33ef46ebc7928cf35f2d51ed0855c59d1a68

[ "MIT" ]

1

2019-10-18T12:23:02.000Z

from .printing import print_dict, print_list, print_columns # noqa: F401

37

73

0.797297

11

74

5.090909

0.818182

0

0.046875

0.135135

74

1

74

0.828125

0.135135

0

1

0

true

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

44e6a269ad74f7d54605ec4a03f0ddf99db408c8

45

py

Python

info/modules/__init__.py

m17630030204/flask_project

b3810a8ba56781061e91a61422581c48aaebf57e

[ "MIT" ]

null

info/modules/__init__.py

m17630030204/flask_project

b3810a8ba56781061e91a61422581c48aaebf57e

[ "MIT" ]

4

2021-03-18T21:48:16.000Z

2022-03-11T23:37:14.000Z

info/modules/__init__.py

m17630030204/flask_project

b3810a8ba56781061e91a61422581c48aaebf57e

[ "MIT" ]

null

# 该模块是用于保存当前项目所有的业务逻辑模块，比如首页,新闻详情页,个人中心,后天管理q

45

0.866667

5

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45

1

45

0.886364

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null

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null

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null

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null

true

0

null

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1

0

1

0

null

0

1

0

5

781a63ff3f57acfbbb5a48bb5bd453d08a83e3d9

2,811

py

Python

ch20/EmulateZipMap.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2020-10-12T13:33:29.000Z

ch20/EmulateZipMap.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

null

ch20/EmulateZipMap.py

eroicaleo/LearningPython

297d46eddce6e43ce0c160d2660dff5f5d616800

[ "MIT" ]

1

2016-11-09T07:28:45.000Z

#!/usr/bin/python3.3 S1 = 'abc' S2 = 'xyz123' z = zip(S1, S2) print(list(z)) print(list(zip([1, 2, 3], [2, 3, 4, 5]))) print(list(map(abs, [-2, -1, 0, 1, 2]))) print(list(map(pow, [1, 2, 3], [2, 3, 4, 5]))) print(list(map(lambda x, y: x+y, open('script2.py'), open('script2.py')))) print([x+y for (x, y) in zip(open('script2.py'), open('script2.py'))]) def mymap(func, *seqs): res = [] for x in zip(*seqs): res.append(func(*x)) return res print(list(mymap(abs, [-2, -1, 0, 1, 2]))) print(list(mymap(pow, [1, 2, 3], [2, 3, 4, 5]))) def mymap(func, *seqs): return [func(*x) for x in zip(*seqs)] print(list(mymap(abs, [-2, -1, 0, 1, 2]))) print(list(mymap(pow, [1, 2, 3], [2, 3, 4, 5]))) def mymap(func, *seqs): return (func(*x) for x in zip(*seqs)) print(list(mymap(abs, [-2, -1, 0, 1, 2]))) print(list(mymap(pow, [1, 2, 3], [2, 3, 4, 5]))) def mymap(func, *seqs): for x in zip(*seqs): yield func(*x) print(list(mymap(abs, [-2, -1, 0, 1, 2]))) print(list(mymap(pow, [1, 2, 3], [2, 3, 4, 5]))) def myzip(*seq): res = [] seqs = [list(S) for S in seq] while all(seqs): res.append(tuple(S.pop(0) for S in seqs)) return res print(list(myzip([1, 2, 3], [2, 3, 4, 5]))) print([x+y for (x, y) in zip(open('script2.py'), open('script2.py'))]) def mymappad(*seq, pad=None): res = [] seqs = [list(S) for S in seq] while any(seqs): res.append(tuple((S.pop(0) if S else pad) for S in seqs)) return res print(mymappad(S1, S2, pad=99)) print(mymappad(S1, S2)) def myzip(*seq): seqs = [list(S) for S in seq] while all(seqs): yield tuple(S.pop(0) for S in seqs) print(list(myzip([1, 2, 3], [2, 3, 4, 5]))) print([x+y for (x, y) in myzip(open('script2.py'), open('script2.py'))]) def mymappad(*seq, pad=None): seqs = [list(S) for S in seq] while any(seqs): yield tuple((S.pop(0) if S else pad) for S in seqs) print(list(mymappad(S1, S2, pad=99))) print(list(mymappad(S1, S2))) def myzip(*seq): minlen = min(len(S) for S in seq) return [tuple(S[i] for S in seq) for i in range(minlen)] print(list(myzip([1, 2, 3], [2, 3, 4, 5]))) def mymappad(*seq, pad=None): maxlen = max(len(S) for S in seq) return [tuple(S[i] if i < len(S) else pad for S in seq) for i in range(maxlen)] print(list(mymappad(S1, S2, pad=99))) print(list(mymappad(S1, S2))) def myzip(*seq): minlen = min(len(S) for S in seq) return (tuple(S[i] for S in seq) for i in range(minlen)) print(list(myzip([1, 2, 3], [2, 3, 4, 5]))) def myzip(*seq): iters = list(map(iter, seq)) i = 0 while iters: i = i+1 print(i) res = [next(i) for i in iters] print(bool(iters)) yield tuple(res) print('lala') print(list(myzip([1, 2, 3], [2, 3, 4, 5])))

23.822034

83

0.55603

537

2,811

2.910615

0.115456

0.126679

0.053743

0.028151

0.846449

0.818298

0.761356

0.735125

0.683941

0.680102

0

0.065059

0.218072

2,811

117

84

24.025641

0.646042

0.006759

0

0.604938

0

0.033333

0

1

0.148148

false

0

0.024691

0.246914

0.37037

0

null

0

1

0

1

0

null

0

5

781c48daadaa4ebc55dbe1ed19ed692f0e6746a9

94

py

Python

certidude/api/utils/__init__.py

Korving-F/certidude

6e50c85c8587d3e800d01ce1d1588965c29b2c46

[ "MIT" ]

119

2015-07-12T20:04:30.000Z

2021-11-24T17:25:33.000Z

certidude/api/utils/__init__.py

Korving-F/certidude

6e50c85c8587d3e800d01ce1d1588965c29b2c46

[ "MIT" ]

60

2015-07-27T06:43:08.000Z

2021-02-03T04:13:05.000Z

certidude/api/utils/__init__.py

Korving-F/certidude

6e50c85c8587d3e800d01ce1d1588965c29b2c46

[ "MIT" ]

36

2015-07-30T00:09:02.000Z

2022-01-27T18:00:07.000Z

class AuthorityHandler: def __init__(self, authority): self.authority = authority

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0.212766

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null

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5

784b36fe0394d9acc970d2ceb450b722ba5aed5a

280

py

Python

ETCetera/exceptions/nonlinear_systems_exceptions/LP_exceptions.py

ggleizer/ETCetera

8fa9f3c82fd1944507a0c02d52a236244821f3ca

[ "MIT" ]

null

ETCetera/exceptions/nonlinear_systems_exceptions/LP_exceptions.py

ggleizer/ETCetera

8fa9f3c82fd1944507a0c02d52a236244821f3ca

[ "MIT" ]

null

ETCetera/exceptions/nonlinear_systems_exceptions/LP_exceptions.py

ggleizer/ETCetera

8fa9f3c82fd1944507a0c02d52a236244821f3ca

[ "MIT" ]

1

2022-03-11T11:15:20.000Z

class LPGeneralException(Exception): """Raised when generic exceptions when using 'LPData' class""" def __init__(self, msg): self.msg = msg class LPOptimizationFailedException(Exception): """Raised when optimization fails when using LPData class""" pass

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784bbfde5525fb086fe7287922a911fb4e29f4c3

235

py

Python

rexfw/test/cases/proposers/params.py

simeoncarstens/rexfw

b31e17a77767cd1357407a0343fb74d9c3247b16

[ "Unlicense", "MIT" ]

null

rexfw/test/cases/proposers/params.py

simeoncarstens/rexfw

b31e17a77767cd1357407a0343fb74d9c3247b16

[ "Unlicense", "MIT" ]

7

2021-01-22T13:37:49.000Z

2021-03-05T15:27:44.000Z

rexfw/test/cases/proposers/params.py

tweag/rexfw

b31e17a77767cd1357407a0343fb74d9c3247b16

[ "Unlicense", "MIT" ]

1

2021-01-07T14:37:22.000Z

''' ''' from rexfw.proposers.params import AbstractProposerParams class MockProposerParams(AbstractProposerParams): def __init__(self): self.reverse_events = 0 def reverse(self): self.reverse_events += 1

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null

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1

0

1

0

5

78a564ce5a42df6154fe0bb1b2c9bf6485415b96

18,204

py

Python

models/develset/src/utils/levelset_utils.py

phdyang007/pytorch-CycleGAN-and-pix2pix

8057392a37d47a17ac0e8f7cc4642bec86bf2e43

[ "BSD-3-Clause" ]

1

2022-01-26T00:45:06.000Z

models/develset/src/utils/levelset_utils.py

phdyang007/pytorch-CycleGAN-and-pix2pix

8057392a37d47a17ac0e8f7cc4642bec86bf2e43

[ "BSD-3-Clause" ]

null

models/develset/src/utils/levelset_utils.py

phdyang007/pytorch-CycleGAN-and-pix2pix

8057392a37d47a17ac0e8f7cc4642bec86bf2e43

[ "BSD-3-Clause" ]

null

''' Author: Guojin Chen @ CUHK-CSE Homepage: https://dekura.github.io/ Date: 2020-12-25 17:52:17 LastEditTime: 2021-04-16 13:14:40 Contact: cgjhaha@qq.com Description: the utils to calculate levelset parameters Input: target Output: levelset params ''' import os import sys sys.path.append('/home/guojin/projects/develset_opc/levelset_net') import time import torch import numpy as np from PIL import Image import torch.nn as nn import torch.nn.functional as F from src.models.const import * from src.utils.unit_tests.test_case1 import * import torchvision.transforms as transforms ''' t2boudry_lines: use only cpu, because cpu is fast enough ''' def t2boudry_lines(target, device): target = target.to(device) boundary = torch.zeros(target.shape).to(device) corner = torch.zeros(target.shape).to(device) vertical = torch.zeros(target.shape).to(device) horizontal = torch.zeros(target.shape).to(device) site_bool1 = target[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X]==1 site_bool2 = [ target[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1, target[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1, target[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] == 1, target[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] == 1, target[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] ==1, target[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] ==1, target[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] ==1, target[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] ==1, ] site_0 = torch.stack(site_bool2,axis = 4).all(axis=4) site_bool1[site_0] = 0 boundary[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] = site_bool1 b_c = boundary[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X]==1 b_d = boundary[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1 b_u = boundary[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1 b_l = boundary[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] == 1 b_r = boundary[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] == 1 #vertical vertical[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X] = b_c vertical[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X][b_l & b_r]=0 v_site = vertical.nonzero() if torch.cuda.is_available(): ind_tmp_v = np.lexsort((v_site[:,2].cpu().numpy(), v_site[:,3].cpu().numpy())) ind_tmp_v = torch.from_numpy(ind_tmp_v).to(device) else: ind_tmp_v = np.lexsort((v_site[:,2].numpy(), v_site[:,3].numpy())) v_site = v_site[ind_tmp_v] tmp_v_start = torch.cat((torch.tensor([True]).to(device), v_site[:,2][1:]!=v_site[:,2][:-1]+1)) tmp_v_end = torch.cat((v_site[:,2][1:]!=v_site[:,2][:-1]+1, torch.tensor([True]).to(device))) start_p_v = v_site[(tmp_v_start==True).nonzero()[:,0],:] end_p_v = v_site[(tmp_v_end==True).nonzero()[:,0],:] p_v = torch.stack((v_site[(tmp_v_start==True).nonzero()[:,0],:], v_site[(tmp_v_end==True).nonzero()[:,0],:]), axis = 2) #horizontal horizontal[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X] = b_c horizontal[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X][b_u&b_d]=0 h_site = horizontal.nonzero() if torch.cuda.is_available(): ind_tmp_h = np.lexsort((h_site[:,3].cpu().numpy(), h_site[:,2].cpu().numpy())) ind_tmp_h = torch.from_numpy(ind_tmp_h).to(device) else: ind_tmp_h = np.lexsort((h_site[:,3].numpy(), h_site[:,2].numpy())) h_site = h_site[ind_tmp_h] tmp_h_start = torch.cat((torch.tensor([True]).to(device), h_site[:,3][1:]!=h_site[:,3][:-1]+1)) tmp_h_end = torch.cat((h_site[:,3][1:]!=h_site[:,3][:-1]+1, torch.tensor([True]).to(device))) start_p_h = h_site[(tmp_h_start==True).nonzero()[:,0],:] end_p_h = h_site[(tmp_h_end==True).nonzero()[:,0],:] p_h = torch.stack((h_site[(tmp_h_start==True).nonzero()[:,0],:], h_site[(tmp_h_end==True).nonzero()[:,0],:]), axis = 2) return p_v.float(), p_h.float() ''' t2boudry_lines: use only cpu, because cpu is fast enough ''' def t2boudry_lines_cpu(target, device): device = torch.device('cpu') target = target.to(device) boundary = torch.zeros(target.shape).to(device) corner = torch.zeros(target.shape).to(device) vertical = torch.zeros(target.shape).to(device) horizontal = torch.zeros(target.shape).to(device) site_bool1 = target[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X]==1 site_bool2 = [ target[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1, target[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1, target[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] == 1, target[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] == 1, target[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] ==1, target[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] ==1, target[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] ==1, target[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] ==1, ] site_0 = torch.stack(site_bool2,axis = 4).all(axis=4) site_bool1[site_0] = 0 boundary[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] = site_bool1 b_c = boundary[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X]==1 b_d = boundary[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1 b_u = boundary[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET:MASK_TILE_END_X] == 1 b_l = boundary[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] == 1 b_r = boundary[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] == 1 #vertical vertical[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X] = b_c vertical[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X][b_l & b_r]=0 v_site = vertical.nonzero() # if torch.cuda.is_available(): # ind_tmp_v = np.lexsort((v_site[:,2].cpu().numpy(), v_site[:,3].cpu().numpy())) # ind_tmp_v = torch.from_numpy(ind_tmp_v).to(device) # else: ind_tmp_v = np.lexsort((v_site[:,2].numpy(), v_site[:,3].numpy())) v_site = v_site[ind_tmp_v] tmp_v_start = torch.cat((torch.tensor([True]).to(device), v_site[:,2][1:]!=v_site[:,2][:-1]+1)) tmp_v_end = torch.cat((v_site[:,2][1:]!=v_site[:,2][:-1]+1, torch.tensor([True]).to(device))) start_p_v = v_site[(tmp_v_start==True).nonzero()[:,0],:] end_p_v = v_site[(tmp_v_end==True).nonzero()[:,0],:] p_v = torch.stack((v_site[(tmp_v_start==True).nonzero()[:,0],:], v_site[(tmp_v_end==True).nonzero()[:,0],:]), axis = 2) #horizontal horizontal[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X] = b_c horizontal[:,:,LITHOSIM_OFFSET:MASK_TILE_END_Y,LITHOSIM_OFFSET:MASK_TILE_END_X][b_u&b_d]=0 h_site = horizontal.nonzero() # if torch.cuda.is_available(): # ind_tmp_h = np.lexsort((h_site[:,3].cpu().numpy(), h_site[:,2].cpu().numpy())) # ind_tmp_h = torch.from_numpy(ind_tmp_h).to(device) # else: ind_tmp_h = np.lexsort((h_site[:,3].numpy(), h_site[:,2].numpy())) h_site = h_site[ind_tmp_h] tmp_h_start = torch.cat((torch.tensor([True]).to(device), h_site[:,3][1:]!=h_site[:,3][:-1]+1)) tmp_h_end = torch.cat((h_site[:,3][1:]!=h_site[:,3][:-1]+1, torch.tensor([True]).to(device))) start_p_h = h_site[(tmp_h_start==True).nonzero()[:,0],:] end_p_h = h_site[(tmp_h_end==True).nonzero()[:,0],:] p_h = torch.stack((h_site[(tmp_h_start==True).nonzero()[:,0],:], h_site[(tmp_h_end==True).nonzero()[:,0],:]), axis = 2) return p_v.float(), p_h.float() ''' target: torch.tensor ''' def t2lsparams(p_v, p_h, target, device): # def __initlevelset_lines(p_v, p_h, target): p_v = p_v.to(device) p_h = p_h.to(device) target = target.to(device) levelset = torch.zeros(target.shape).to(device) levelset = levelset + 2048 x,y = torch.meshgrid(torch.arange(target.shape[2]).to(device),torch.arange(target.shape[3]).to(device)) coord_2d = torch.stack((x,y), axis = 2) # (2048, 2048, 2) part_2d = coord_2d[LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X, :].flatten(start_dim=0,end_dim=1).float() #(1280*1280,2)(y,x) #vertical distance_v = torch.zeros(part_2d.shape[0], p_v.shape[0]).to(device) #(1280*1280,N_v) for i in range(p_v.shape[0]): #start_p = p_v[i,[2,3],0], end_p =p_v[i,[2,3],1] ind0 = (part_2d[:,1] != p_v[i,3,0]) & ((part_2d[:,0] < p_v[i,2,0]) | (part_2d[:,0] > p_v[i,2,1])) distance_v[ind0,i] = torch.min(torch.sqrt((p_v[i,2,0] - part_2d[ind0,0]) **2+(p_v[i,3,0] - part_2d[ind0,1]) **2), torch.sqrt((p_v[i,2,1] - part_2d[ind0,0]) **2+(p_v[i,3,1] - part_2d[ind0,1]) **2)) ind1 = (part_2d[:,1] == p_v[i,3,0]) & (part_2d[:,0] >= p_v[i,2,0]) & (part_2d[:,0] <= p_v[i,2,1]) distance_v[ind1,i] = 0 ind2 = (part_2d[:,1] == p_v[i,3,0]) & ((part_2d[:,0] < p_v[i,2,0]) | (part_2d[:,0] > p_v[i,2,1])) distance_v[ind2,i] = torch.min( torch.abs(part_2d[ind2,0] - p_v[i,2,0]) , torch.abs(part_2d[ind2,0] - p_v[i,2,1]) ) ind3 = (part_2d[:,1] != p_v[i,3,0]) & (part_2d[:,0] >= p_v[i,2,0]) & (part_2d[:,0] <= p_v[i,2,1]) distance_v[ind3,i] = torch.abs(part_2d[ind3,1]-p_v[i,3,0]) #horizontal distance_h = torch.zeros(part_2d.shape[0], p_h.shape[0]).to(device)#(14*14,N_h) for i in range(p_h.shape[0]): ind0 = (part_2d[:,0] != p_h[i,2,0]) & ((part_2d[:,1] < p_h[i,3,0]) | (part_2d[:,1] > p_h[i,3,1])) distance_h[ind0,i] = torch.min(torch.sqrt((p_h[i,2,0] - part_2d[ind0,0]) **2 + (p_h[i,3,0] - part_2d[ind0,1]) **2), torch.sqrt((p_h[i,2,1] - part_2d[ind0,0]) **2+(p_h[i,3,1] - part_2d[ind0,1]) **2)) ind1 = (part_2d[:,0] == p_h[i,2,0]) & (part_2d[:,1] >= p_h[i,3,0]) & (part_2d[:,1] <= p_h[i,3,1]) distance_h[ind1,i] = 0 ind2 = (part_2d[:,0] == p_h[i,2,0]) & ((part_2d[:,1] < p_h[i,3,0]) | (part_2d[:,1] > p_h[i,3,1])) distance_h[ind2,i] = torch.min( torch.abs(part_2d[ind2,1] - p_h[i,3,0]), torch.abs(part_2d[ind2,1] - p_h[i,3,1]) ) ind3 = (part_2d[:,0] != p_h[i,2,0]) & (part_2d[:,1] >= p_h[i,3,0]) & (part_2d[:,1] <= p_h[i,3,1]) distance_h[ind3,i] = torch.abs(part_2d[ind3,0] - p_h[i,2,0]) #the following procedure only satisfies: batch = channel =1! distance = torch.min(distance_v.min(axis =1)[0], distance_h.min(axis=1)[0]).reshape(MASK_TILE_END_Y-LITHOSIM_OFFSET, MASK_TILE_END_X-LITHOSIM_OFFSET) levelset[0,0,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] = distance ind_inner = target==1 levelset[ind_inner] = -levelset[ind_inner] # use truncated signed distance function. levelset[torch.where(levelset > UP_TRUNCATED_D)] = UP_TRUNCATED_D levelset[torch.where(levelset < DOWN_TRUNCATED_D)] = DOWN_TRUNCATED_D return levelset def truncated_ls(levelset): levelset[torch.where(levelset > UP_TRUNCATED_D)] = UP_TRUNCATED_D levelset[torch.where(levelset < DOWN_TRUNCATED_D)] = DOWN_TRUNCATED_D return levelset def ls2npy(ls): ls = ls[:, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] ls_npy = ls.cpu().detach().numpy() return ls_npy # ls_npz = np.savez_compressed() def ls2gray(ls): a = 1 / (UP_TRUNCATED_D - DOWN_TRUNCATED_D) b = DOWN_TRUNCATED_D / (DOWN_TRUNCATED_D - UP_TRUNCATED_D) gray = a * ls + b return gray def gray2ls(gray): a = 1 / (UP_TRUNCATED_D - DOWN_TRUNCATED_D) b = DOWN_TRUNCATED_D / (DOWN_TRUNCATED_D - UP_TRUNCATED_D) ls = (gray - b)/a return ls def gradient_geo(levelset): # print('ls is nan: ', torch.isnan(levelset).any()) gradient_geo = torch.zeros(levelset.shape).cuda() centor = levelset[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] # print('centor is nan: ', torch.isnan(centor).any()) left = levelset[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] # print('left is nan: ', torch.isnan(left).any()) right = levelset[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] up = levelset[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET:MASK_TILE_END_X] low = levelset[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET:MASK_TILE_END_X] grad_x = (right-left) / 2 # print('grad_x is nan: ', torch.isnan(grad_x).any()) grad_x[:,:,:,0] = centor[:,:,:,1] - centor[:,:,:,0] #left boundary grad_x[:,:,:,-1] = centor[:,:,:,-1] - centor[:,:,:,-2] #right boundary # print('grad_x boundry is nan: ', torch.isnan(grad_x).any()) grad_y = (up - low) / 2 grad_y[:,:,0,:] = centor[:,:,1,:] - centor[:,:,0,:] # upper boundary grad_y[:,:,-1,:] = centor[:,:,-1,:] - centor[:,:,-2,:] # lower boundary gradient_geo[:,:, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] = (grad_x.pow(2) + grad_y.pow(2)).sqrt() return gradient_geo def gradient_geo_part(levelset): ''' input: (b,c,x,y) leveset tensor return grad_x, grad_y: (b,c,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X) central tensor return grad_xx, grad_yy, grad_xy: (b,c,LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X) central tensor ''' centor = levelset[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X] left = levelset[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] right = levelset[:, :, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] up = levelset[:, :, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET:MASK_TILE_END_X] low = levelset[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET:MASK_TILE_END_X] ll = levelset[:, :, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] lr = levelset[:,:, LITHOSIM_OFFSET-1:MASK_TILE_END_Y-1, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] ul = levelset[:,:, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET-1:MASK_TILE_END_X-1] ur = levelset[:,:, LITHOSIM_OFFSET+1:MASK_TILE_END_Y+1, LITHOSIM_OFFSET+1:MASK_TILE_END_X+1] # 1st order grad_x = (right-left) / 2 grad_x[:,:,:,0] = centor[:,:,:,1] - centor[:,:,:,0] #left boundary grad_x[:,:,:,-1] = centor[:,:,:,-1] - centor[:,:,:,-2] #right boundary grad_y = (up - low) / 2 grad_y[:,:,0,:] = centor[:,:,1,:] - centor[:,:,0,:] # upper boundary grad_y[:,:,-1,:] = centor[:,:,-1,:] - centor[:,:,-2,:] # lower boundary # 2nd order grad_xx = right + left - 2 * centor grad_xx[:,:,:,0] = centor[:,:,:,1] - centor[:,:,:,0] grad_xx[:,:,:,-1] = - (centor[:,:,:,-1] - centor[:,:,:,-2]) grad_yy = up + low - 2 * centor grad_yy[:,:,0,:] = centor[:,:,1,:] - centor[:,:,0,:] grad_yy[:,:,-1,:] = -(centor[:,:,-1,:] - centor[:,:,-2,:]) grad_xy = 0.25 * ((ur - ul) - (lr - ll)) grad_xy[:,:,:,0] = 0.5 * (ur - up - lr + low)[:,:,:,0] grad_xy[:,:,:,-1] = 0.5 * (up - ul - low + ll)[:,:,:,-1] grad_xy[:,:,0,:] = 0.5 * (ur -ul - right + left)[:,:,0,:] grad_xy[:,:,-1,:] = 0.5 * (right - left - lr + ll)[:,:,-1,:] grad_xy[:,:,0,0] = 0.25 * centor[:,:,1,1] grad_xy[:,:,-1,0] = -0.25 * centor[:,:,-2,1] grad_xy[:,:,0,-1] = -0.25 * centor[:,:,1, -2] grad_xy[:,:,-1,-1] = 0.25 * centor[:,:,-2,-2] return grad_x, grad_y, grad_xx, grad_yy, grad_xy def calculate_k(grad_x, grad_y, grad_xx, grad_yy, grad_xy, levelset): k = torch.zeros(levelset.shape) num = torch.mul(grad_xx, grad_y.pow(2)) - 2 * torch.mul(torch.mul(grad_y, grad_x), grad_xy) + torch.mul(grad_yy, grad_x.pow(2)) denom = (grad_x.pow(2) + grad_y.pow(2)).pow(1.5) k[:,:, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X ] = torch.mul(num, denom.reciprocal()) return k def curvature_term(levelset): grad_part = gradient_geo_part(levelset) grad_x, grad_y, grad_xx, grad_yy, grad_xy = grad_part curv = torch.zeros(levelset.shape).cuda() num = torch.mul(grad_xx, grad_y.pow(2)) - 2 * torch.mul(torch.mul(grad_y, grad_x), grad_xy) + torch.mul(grad_yy, grad_x.pow(2)) denom = (grad_x.pow(2) + grad_y.pow(2)).pow(1.5) + EPSILON curv[:,:, LITHOSIM_OFFSET:MASK_TILE_END_Y, LITHOSIM_OFFSET:MASK_TILE_END_X ] = torch.div(num, denom) return curv if __name__ == '__main__': if torch.cuda.is_available(): device = torch.device('cuda') else: device = torch.device('cpu') test1 = Image.open('/home/guojin/projects/develset_opc/levelset_net/binary_images/M1_test1/M1_test1.png').convert('L') transform = transforms.Compose([ transforms.ToTensor() ]) test1 = transform(test1) test1 = test1.unsqueeze(1) #(1,2048,2048) to (1,1,2048,2048) start = time.time() # p_v,p_h = t2boudry_lines(test1, device) p_v,p_h = t2boudry_lines_cpu(test1, device) b_end = time.time() print('init boundary time: ',b_end-start,' s') LS1 = t2lsparams(p_v,p_h, test1, device) l_end = time.time() print('init levelset function time: ',l_end-b_end,' s') torch.save(LS1, 'LS1.pt') test_corner(216, 80, 'll', test1, LS1) test_corner(744, 776, 'ur', test1, LS1) test_convex(304, 140, 'lr', test1, LS1) test_convex(680, 708, 'ul', test1, LS1) test_convex(680, 148, 'ul', test1, LS1) test_outer(-100, -100, test1, LS1) print(torch.min(LS1))

52.918605

208

0.652769

3,135

18,204

3.474641

0.077193

0.156798

0.123198

0.147434

0.791793

0.763793

0.739649

0.719453

0.713119

0.704489

0

0.046016

0.150022

18,204

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52.918605

0.657985

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0

0.043307

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0.129921

0.011811

0

null

0

1

0

null

0

5

15477fe6c4b1e15106526403b212e4c52a8629ce

80

py

Python

kqueen/storages/exceptions.py

LaudateCorpus1/kqueen

8841c069bb5a53ae18affc0222356956220bbd47

[ "MIT" ]

140

2017-09-28T06:07:40.000Z

2022-01-17T09:10:39.000Z

kqueen/storages/exceptions.py

LaudateCorpus1/kqueen

8841c069bb5a53ae18affc0222356956220bbd47

[ "MIT" ]

128

2017-09-26T06:51:30.000Z

2018-10-11T13:15:13.000Z

kqueen/storages/exceptions.py

LaudateCorpus1/kqueen

8841c069bb5a53ae18affc0222356956220bbd47

[ "MIT" ]

39

2017-10-02T13:57:19.000Z

2021-11-30T05:30:52.000Z

class BackendError(Exception): pass class FieldError(Exception): pass

11.428571

30

0.725

8

80

7.25

0.625

0.448276

0

0.2

80

6

31

13.333333

0.90625

0

0.5

0

1

0

true

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

5

1552d6f949aa86b82ed0d04812ecbee141ac3c77

1,339

py

Python

src/jk_pathpatternmatcher2/ILocalDiskIOAdapter.py

jkpubsrc/python-module-jk-pathpatternmatcher2

a46535bfb3ecb1ffac7ee1c7a71d275e76bf83de

[ "Apache-1.1" ]

null

src/jk_pathpatternmatcher2/ILocalDiskIOAdapter.py

jkpubsrc/python-module-jk-pathpatternmatcher2

a46535bfb3ecb1ffac7ee1c7a71d275e76bf83de

[ "Apache-1.1" ]

null

src/jk_pathpatternmatcher2/ILocalDiskIOAdapter.py

jkpubsrc/python-module-jk-pathpatternmatcher2

a46535bfb3ecb1ffac7ee1c7a71d275e76bf83de

[ "Apache-1.1" ]

null

import os from .IWalkIOAdapter import IWalkIOAdapter class ILocalDiskIOAdapter(IWalkIOAdapter): ################################################################################################################################ ## Constructor ################################################################################################################################ ################################################################################################################################ ## Public Properties ################################################################################################################################ ################################################################################################################################ ## Helper Methods ################################################################################################################################ ################################################################################################################################ ## Public Methods ################################################################################################################################ def listdirCallback(self): return os.listdir # def lstatCallback(self): return os.lstat # #

26.78

129

0.154593

28

1,339

7.392857

0.642857

0.096618

0.115942

0

0.06348

1,339

49

130

27.326531

0.165072

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0.285714

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null

0

1

0

null

0

1

0

1

0

5

155eda9348c40df42ab83b3ab628d6e0c9801f79

2,603

py

Python

openpose/core/backbone.py

calmisential/Pose_Estimation

f3546fcfdc81ef60708fbda5fc1eb499679fff2f

[ "MIT" ]

null

openpose/core/backbone.py

calmisential/Pose_Estimation

f3546fcfdc81ef60708fbda5fc1eb499679fff2f

[ "MIT" ]

null

openpose/core/backbone.py

calmisential/Pose_Estimation

f3546fcfdc81ef60708fbda5fc1eb499679fff2f

[ "MIT" ]

null

import tensorflow as tf class VGG(tf.keras.layers.Layer): def __init__(self): super(VGG, self).__init__() self.conv1 = tf.keras.layers.Conv2D(filters=64, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.conv2 = tf.keras.layers.Conv2D(filters=64, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.pool1 = tf.keras.layers.MaxPool2D(pool_size=(2, 2), strides=2) self.conv3 = tf.keras.layers.Conv2D(filters=128, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.conv4 = tf.keras.layers.Conv2D(filters=128, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.pool2 = tf.keras.layers.MaxPool2D(pool_size=(2, 2), strides=2) self.conv5 = tf.keras.layers.Conv2D(filters=256, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.conv6 = tf.keras.layers.Conv2D(filters=256, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.conv7 = tf.keras.layers.Conv2D(filters=256, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.conv8 = tf.keras.layers.Conv2D(filters=256, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.pool3 = tf.keras.layers.MaxPool2D(pool_size=(2, 2), strides=2) self.conv9 = tf.keras.layers.Conv2D(filters=512, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) self.conv10 = tf.keras.layers.Conv2D(filters=512, kernel_size=3, strides=1, padding="same", activation=tf.keras.activations.relu) def call(self, inputs, **kwargs): x = self.conv1(inputs) x = self.conv2(x) x = self.pool1(x) x = self.conv3(x) x = self.conv4(x) x = self.pool2(x) x = self.conv5(x) x = self.conv6(x) x = self.conv7(x) x = self.conv8(x) x = self.pool3(x) x = self.conv9(x) x = self.conv10(x) return x def get_backbone(): return VGG()

45.666667

99

0.55436

317

2,603

4.48265

0.164038

0.118227

0.128079

0.133709

0.757213

0

0.055336

0.319631

2,603

57

100

45.666667

0.747036

0

0.227273

0

0.015361

0

1

0.068182

false

0

0.022727

0.159091

0

null

0

1

0

null

0

5

1570e63329ffc460ae60eecbacf580882e034c34

96

py

Python

marcotti/etl/base/__init__.py

soccermetrics/marcotti

eda2f19bd6cbc6f9c7482e8fe31b2233b33aacfd

[ "MIT" ]

30

2015-11-23T07:51:54.000Z

2020-06-29T16:11:55.000Z

marcotti/etl/base/__init__.py

soccermetrics/marcotti

eda2f19bd6cbc6f9c7482e8fe31b2233b33aacfd

[ "MIT" ]

1

2016-06-26T18:44:47.000Z

2016-06-29T03:02:40.000Z

marcotti/etl/base/__init__.py

soccermetrics/marcotti

eda2f19bd6cbc6f9c7482e8fe31b2233b33aacfd

[ "MIT" ]

8

2016-01-13T12:23:16.000Z

2021-10-11T07:39:33.000Z

from workflows import ETL from transform import MarcottiTransform from load import MarcottiLoad

24

39

0.875

12

96

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0.666667

0

0.125

96

3

40

32

1

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true

0

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0

1

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0

null

0

1

0

null

0

1

0

1

0

1

0

5

1581f9ed41496472ad5cffe420879b2dcae70db7

1,368

py

Python

moonrock/sites/localhost/helper.py

ToyokoLabs/moonrock

abd5de575713796d9b19a48fa447cdd7cef520cc

[ "BSD-2-Clause" ]

null

moonrock/sites/localhost/helper.py

ToyokoLabs/moonrock

abd5de575713796d9b19a48fa447cdd7cef520cc

[ "BSD-2-Clause" ]

null

moonrock/sites/localhost/helper.py

ToyokoLabs/moonrock

abd5de575713796d9b19a48fa447cdd7cef520cc

[ "BSD-2-Clause" ]

null

""" Constants and methods used in testing """ class Colors(): WHITE = 'rgba(255, 255, 255, 1)' RED_ERROR = 'rgba(220, 53, 69, 1)' users = { 'valid_user': {'first_name':'Shinji', 'last_name': 'Ikari', 'user_name': 'sikari', 'address1': '123 Main St.', 'country': 'United States', 'state': 'California', 'zip': '12345', 'name_on_card': 'John Galt', 'number_on_card': '1111111111111', 'cvv': '111'}, 'user_wo_username':{ 'first_name':'Shinji', 'last_name': 'Ikari', 'address1': '123 Main St.', 'country': 'United States', 'state': 'California', 'zip': '12345', 'name_on_card': 'John Galt', 'number_on_card': '1111111111111', 'cvv': '111' }, 'user_invalid_cc':{ 'first_name':'Shinji', 'last_name': 'Ikari', 'user_name': 'sikari', 'address1': '123 Main St.', 'country': 'United States', 'state': 'California', 'zip': '12345', 'name_on_card': 'John Galt', 'number_on_card': '4671100111123', 'cvv': '111' }, }

30.4

50

0.427632

120

1,368

4.658333

0.416667

0.064401

0.080501

0.101968

0.760286

0.710197

0

0.115528

0.41155

1,368

44

51

31.090909

0.578882

0.027047

0

0.684211

0

0.418745

0

1

0

false

0

0.078947

0

null

0

1

0

null

0

5

159bdc25900365d40e806718a99eecde1d03e191

39

py

Python

asynchronous_qiwi/models/QIWIWallet/restrictions_m/__init__.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

3

2021-05-20T02:36:30.000Z

2021-11-28T16:00:15.000Z

asynchronous_qiwi/models/QIWIWallet/restrictions_m/__init__.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

null

asynchronous_qiwi/models/QIWIWallet/restrictions_m/__init__.py

LexLuthorReal/asynchronous_qiwi

5847a8d4008493656e973e5283888a4e57234962

[ "MIT" ]

1

2021-11-28T16:00:20.000Z

from .restrictions import Restrictions

19.5

38

0.871795

4

39

8.5

0.75

0

0.102564

39

1

39

0.971429

0

1

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true

0

1

0

1

0

1

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null

0

1

0

null

0

1

0

1

0

5

15a81d5059cb095d0ec8a330a0f78c0469ad23ba

60

py

Python

PDA/extra_assignments/5.7. Strings_ Remove fragment/main.py

EMbeDS-education/StatsAndComputing20212022

971e418882b206a1b5606d15d222cef1a5a04834

[ "MIT" ]

2

2022-02-24T09:35:15.000Z

2022-03-14T20:34:33.000Z

PDA/extra_assignments/5.C. Strings_ Delete every third character/main.py

GeorgiosArg/StatsAndComputing20212022

798d39af6aa5ef5eef49d5d6f43191351e8a49f3

[ "MIT" ]

null

PDA/extra_assignments/5.C. Strings_ Delete every third character/main.py

GeorgiosArg/StatsAndComputing20212022

798d39af6aa5ef5eef49d5d6f43191351e8a49f3

[ "MIT" ]

2

2022-03-15T21:40:35.000Z

2022-03-26T14:51:31.000Z

# Read a string: # s = input() # Print a string: # print(s)

12

17

0.583333

10

60

3.5

0.6

0.4

0

0.233333

60

4

18

15

0.76087

0.85

0

null

0

null

0

null

0

null

1

null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

ec8f49d9a95b272bcd346b5f8a741100008e6e82

25,492

py

Python

xintesis/template/project.py

J41R0/Xintesis

022f23d0e54f1566de5114d9b142ef99e4f903a0

[ "MIT" ]

1

2020-10-12T01:08:40.000Z

xintesis/template/project.py

J41R0/Xintesis

022f23d0e54f1566de5114d9b142ef99e4f903a0

[ "MIT" ]

null

xintesis/template/project.py

J41R0/Xintesis

022f23d0e54f1566de5114d9b142ef99e4f903a0

[ "MIT" ]

null

__author__ = 'J41R0' from jinja2 import Environment project_template = """ # default imports from flask import Blueprint, request, send_file, jsonify from flask_restplus import Api, Resource, reqparse from flask_jwt_extended import jwt_optional, jwt_required, decode_token, create_access_token, create_refresh_token from jwt.exceptions import DecodeError as JWTDecodeError, ExpiredSignatureError from xintesis import Project, ServicePack, manager # const definition SUCC = 0 DATA = 1 TYPE = 2 ACCESS_TOKEN = "access" REFRESH_TOKEN = "refresh" project = Project("{{name}}") # header authorizations = {'api_key': {'type': 'apiKey', 'in': 'header', 'name': 'XSA-API-KEY'}} project_api = Blueprint('{{name}}', __name__, url_prefix='/{{name}}/api') {{name}}_api = Api(project_api, title='{{show_name}} Project', description='{{description}}', authorizations=authorizations) {% if security %} jwt = manager.get_singleton('xts_jwt') logged_active_tokens = {} def get_identity(): current_request_data = { "Host": request.headers['Host'] if 'Host' in request.headers else None, "User-Agent": request.headers['User-Agent'] if 'User-Agent' in request.headers else None, "Accept": request.headers['Accept'] if 'Accept' in request.headers else None, # "Accept-Language": request.headers[ # 'Accept-Language'] if 'Accept-Language' in request.headers else None, # "Accept-Encoding": request.headers[ # 'Accept-Encoding'] if 'Accept-Encoding' in request.headers else None, # "Referer": request.headers['Referer'] if 'Referer' in request.headers else None, # "Origin": request.headers['Origin'] if 'Origin' in request.headers else None, # "Connection": request.headers['Connection'] if 'Connection' in request.headers else None } tk_header = request.headers.get('XSA-API-KEY') if tk_header is None: return {"success": False, "message": "Access token required"}, 401 try: identity_data = decode_token(tk_header).get('identity') except JWTDecodeError: return {"success": False, "message": "Incorrect access token"}, 401 except ExpiredSignatureError: return {"success": False, "message": "Expired access token"}, 401 if not identity_data: return {"success": False, "message": "Access token required"}, 401 coincidences = set(identity_data.keys()).intersection(set(current_request_data.keys())) autentication_data_ok = True for curr_key in coincidences: if identity_data[curr_key] != current_request_data[curr_key]: autentication_data_ok = False break if not autentication_data_ok: return {"success": False, "message": "Unauthorized"}, 401 return {"success": True, "identity": identity_data, "token": tk_header}, 200 def add_user_token(username, token, type): if type == ACCESS_TOKEN: if username in logged_active_tokens: logged_active_tokens[username].add(token) else: logged_active_tokens[username] = set() logged_active_tokens[username].add(token) def remove_user_token(username, token): if username in logged_active_tokens and token in logged_active_tokens[username]: logged_active_tokens[username].remove(token) if len(logged_active_tokens[username]) == 0: del logged_active_tokens[username] def is_valid_token(username, token): # first verify access if username in logged_active_tokens and token in logged_active_tokens[username]: return True @jwt.expired_token_loader def my_expired_token_callback(expired_token): token_type = expired_token['type'] identity = decode_token(expired_token).get('identity') username = identity["username"] remove_user_token(username, expired_token) return jsonify({ 'status': 401, 'msg': 'The {} token has expired'.format(token_type) }), 401 def login_expect(): data = reqparse.RequestParser() data.add_argument('username', required=True, type=str, location='form', help='User id') data.add_argument('password', required=True, type=str, location='form', help='Current password') return data{% endif %} {% if security %}{% if hide_api %} @{{name}}_api.default_namespace.hide{% endif %} @{{name}}_api.default_namespace.route('/login') class Login(Resource): expect = login_expect() @{{name}}_api.expect(expect) def post(self): \"\"\"Login user\"\"\" my_input = self.expect.parse_args() identity_data = dict(request.headers) identity_data["username"] = my_input['username'] password = my_input['password'] if project.login(identity_data["username"], password): ac_token = create_access_token(identity=identity_data) add_user_token(my_input['username'], ac_token, type=ACCESS_TOKEN) response = {"access_token":ac_token} return response, 200 else: return {"success": False, "message": "Incorrect credentials"}, 401 {% if hide_api %} @{{name}}_api.default_namespace.hide{% endif %} @{{name}}_api.default_namespace.route('/refresh') class Refresh(Resource): @jwt_optional @{{name}}_api.doc(security='api_key') @{{name}}_api.response(200, 'Success') @{{name}}_api.response(401, 'Unauthorized') @{{name}}_api.response(403, 'Forbidden') def get(self): \"\"\"Refresh user token\"\"\" response, code = get_identity() if code != 200: return response, code identity_data = response["identity"] token = response["token"] if is_valid_token(identity_data['username'], token): remove_user_token(identity_data['username'], token) new_token = create_access_token(identity=identity_data) add_user_token(identity_data['username'], new_token, type=ACCESS_TOKEN) response = {"access_token":new_token} return response, 200 else: return {"success": False, "message": "Invalid access token"}, 401 {% if hide_api %} @{{name}}_api.default_namespace.hide{% endif %} @{{name}}_api.default_namespace.route('/logout') class Logout(Resource): @jwt_optional @{{name}}_api.doc(security='api_key') @{{name}}_api.response(200, 'Success') @{{name}}_api.response(401, 'Unauthorized') @{{name}}_api.response(403, 'Forbidden') def get(self): \"\"\"Logout user\"\"\" response, code = get_identity() if code != 200: return response, code identity_data = response["identity"] token = response["token"] if is_valid_token(identity_data['username'], token): remove_user_token(identity_data['username'], token) return {"success": True}, 200 else: return {"success": False, "message": "Invalid access token"}, 401{% endif %}{% for current_component in components %} # Package {{current_component.name}} {% if current_component.is_service %} from projects.{{current_component.name}}.controller import service_pack as {{current_component.name}}{% else %} from packages.{{current_component.name}}.controller import service_pack as {{current_component.name}} {% endif %} {{current_component.name}}_ns = {{name}}_api.namespace('{{current_component.name}}', description='{{current_component.desc}}') class {{current_component.name.upper()}}_SERVICES:{% for curr_serv_pack in current_component.my_services.keys() %}{% if hide_api %} @{{current_component.name}}_ns.hide{% endif %} @{{current_component.name}}_ns.route('/{{curr_serv_pack}}') @{{current_component.name}}_ns.header('XSA-API-KEY', 'JWT TOKEN', required=True) class {{curr_serv_pack}}(Resource): {% if current_component.my_services[curr_serv_pack].get["active"] %}{% if current_component.my_services[curr_serv_pack].get["expect"] and not current_component.my_services[curr_serv_pack].get["parser"] %} get_model = {{name}}_api.model('{{curr_serv_pack}} Get Model', {{current_component.name}}.my_services["{{curr_serv_pack}}"].get["expect"]){% endif %}{% if current_component.my_services[curr_serv_pack].get["marshall"] %} get_marshall = {{name}}_api.model('{{curr_serv_pack}} Get Response', {{current_component.name}}.my_services["{{curr_serv_pack}}"].get["marshall"]){% endif %} @jwt_optional {% if security and current_component.my_services[curr_serv_pack].get["security"] %}@{{name}}_api.doc(security='api_key') {% endif %}{% if current_component.my_services[curr_serv_pack].get["expect"] %}{% if current_component.my_services[curr_serv_pack].get["parser"] %}@{{name}}_api.expect({{current_component.name}}.my_services["{{curr_serv_pack}}"].get["expect"]){% else %}@{{name}}_api.expect(get_model){% endif %} {% endif %}{% if current_component.my_services[curr_serv_pack].get["marshall"] %}@{{name}}_api.marshal_with(get_marshall, code=200) {% endif %}@{{name}}_api.response(200, 'Success') @{{name}}_api.response(418, 'Process error'){% if security and current_component.my_services[curr_serv_pack].get["security"] %} @{{name}}_api.response(401, 'Unauthorized') @{{name}}_api.response(403, 'Forbidden'){% endif %} def get(self): \"\"\"{{current_component.my_services[curr_serv_pack].get["doc"]}}\"\"\" {% if security and current_component.my_services[curr_serv_pack].get["security"] %} response, code = get_identity() if code != 200: return response, code identity = response["identity"] identity["token"] = response["token"] username = identity["username"] uri = "{{name}}/api/{{current_component.name}}/{{curr_serv_pack}}/GET" authorized = project.auth(username, uri) if not authorized: return {"success": False, "message": "You have not access to this resource"}, 401 identity['uri'] = uri {% endif %}{% if current_component.my_services[curr_serv_pack].get["parser"] %} input = {{current_component.name}}.my_services["{{curr_serv_pack}}"].get["expect"].parse_args() {% else %}input = {{name}}_api.payload{% endif %} response = {"success": False, "data": "", "message": ""} try: obj_dict = project.get_object('{{current_component.name}}'){% if security and current_component.my_services[curr_serv_pack].get["security"] %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].get_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict, identity=identity){% else %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].get_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict){% endif %} code = 200 succ = call[SUCC] data = call[DATA] res_type = None if len(call) > 2: res_type = call[TYPE] response["success"] = succ # processing files if succ and res_type == "file": name = str(data).split("/")[-1] return send_file(data, as_attachment=True, attachment_filename=name) if succ: response["data"] = data else: response["message"] = data{% if security and current_component.my_services[curr_serv_pack].get["security"] %} code = res_type if res_type in (401, 403) else 418{% else %} code = 418{% endif %} return response, code except ServicePack.XtsServiceException as err: return err.response, err.resp_code except Exception as err: return {"success": False, "message": str(err)}, 418{% endif %} {% if current_component.my_services[curr_serv_pack].post["active"] %}{% if current_component.my_services[curr_serv_pack].post["expect"] and not current_component.my_services[curr_serv_pack].post["parser"] %} post_model = {{name}}_api.model('{{curr_serv_pack}} Post Model', {{current_component.name}}.my_services["{{curr_serv_pack}}"].post["expect"]){% endif %}{% if current_component.my_services[curr_serv_pack].post["marshall"] %} post_marshall = {{name}}_api.model('{{curr_serv_pack}} Post Response', {{current_component.name}}.my_services["{{curr_serv_pack}}"].post["marshall"]){% endif %} @jwt_optional {% if security and current_component.my_services[curr_serv_pack].post["security"] %}@{{name}}_api.doc(security='api_key') {% endif %}{% if current_component.my_services[curr_serv_pack].post["expect"] %}{% if current_component.my_services[curr_serv_pack].post["parser"] %}@{{name}}_api.expect({{current_component.name}}.my_services["{{curr_serv_pack}}"].post["expect"]){% else %}@{{name}}_api.expect(post_model){% endif %} {% endif %}{% if current_component.my_services[curr_serv_pack].post["marshall"] %}@{{name}}_api.marshal_with(post_marshall, code=201) {% endif %}@{{name}}_api.response(201, 'Success') @{{name}}_api.response(418, 'Process error'){% if security and current_component.my_services[curr_serv_pack].post["security"] %} @{{name}}_api.response(401, 'Unauthorized') @{{name}}_api.response(403, 'Forbidden'){% endif %} def post(self): \"\"\"{{current_component.my_services[curr_serv_pack].post["doc"]}}\"\"\" {% if security and current_component.my_services[curr_serv_pack].post["security"] %} response, code = get_identity() if code != 200: return response, code identity = response["identity"] identity["token"] = response["token"] username = identity["username"] uri = "{{name}}/api/{{current_component.name}}/{{curr_serv_pack}}/POST" authorized = project.auth(username, uri) if not authorized: return {"success": False, "message": "You have not access to this resource"}, 401 identity['uri'] = uri {% endif %}{% if current_component.my_services[curr_serv_pack].post["parser"] %} input = {{current_component.name}}.my_services["{{curr_serv_pack}}"].post["expect"].parse_args() {% else %}input = {{name}}_api.payload{% endif %} response = {"success": False, "data": "", "message": ""} try: obj_dict = project.get_object('{{current_component.name}}'){% if security and current_component.my_services[curr_serv_pack].post["security"] %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].post_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict, identity=identity){% else %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].post_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict){% endif %} code = 201 succ = call[SUCC] data = call[DATA] res_type = None if len(call) > 2: res_type = call[TYPE] response["success"] = succ # processing files if succ and res_type == "file": name = str(data).split("/")[-1] return send_file(data, as_attachment=True, attachment_filename=name) if succ: response["data"] = data else: response["message"] = data{% if security and current_component.my_services[curr_serv_pack].get["security"] %} code = res_type if res_type in (401, 403) else 418{% else %} code = 418{% endif %} return response, code except ServicePack.XtsServiceException as err: return err.response, err.resp_code except Exception as err: return {"success": False, "message": str(err)}, 418{% endif %} {% if current_component.my_services[curr_serv_pack].put["active"] %}{% if current_component.my_services[curr_serv_pack].put["expect"] and not current_component.my_services[curr_serv_pack].put["parser"] %} put_model = {{name}}_api.model('{{curr_serv_pack}} Put Model', {{current_component.name}}.my_services["{{curr_serv_pack}}"].put["expect"]){% endif %}{% if current_component.my_services[curr_serv_pack].put["marshall"] %} put_marshall = {{name}}_api.model('{{curr_serv_pack}} Put Response', {{current_component.name}}.my_services["{{curr_serv_pack}}"].put["marshall"]){% endif %} @jwt_optional {% if security and current_component.my_services[curr_serv_pack].put["security"] %}@{{name}}_api.doc(security='api_key') {% endif %}{% if current_component.my_services[curr_serv_pack].put["expect"] %}{% if current_component.my_services[curr_serv_pack].put["parser"] %}@{{name}}_api.expect({{current_component.name}}.my_services["{{curr_serv_pack}}"].put["expect"]){% else %}@{{name}}_api.expect(put_model){% endif %} {% endif %}{% if current_component.my_services[curr_serv_pack].put["marshall"] %}@{{name}}_api.marshal_with(put_marshall, code=201) {% endif %}@{{name}}_api.response(201, 'Success') @{{name}}_api.response(418, 'Process error'){% if security and current_component.my_services[curr_serv_pack].put["security"] %} @{{name}}_api.response(401, 'Unauthorized') @{{name}}_api.response(403, 'Forbidden'){% endif %} def put(self): \"\"\"{{current_component.my_services[curr_serv_pack].put["doc"]}}\"\"\" {% if security and current_component.my_services[curr_serv_pack].put["security"] %} response, code = get_identity() if code != 200: return response, code identity = response["identity"] identity["token"] = response["token"] username = identity["username"] uri = "{{name}}/api/{{current_component.name}}/{{curr_serv_pack}}/PUT" authorized = project.auth(username, uri) if not authorized: return {"success": False, "message": "You have not access to this resource"}, 401 identity['uri'] = uri {% endif %}{% if current_component.my_services[curr_serv_pack].put["parser"] %} input = {{current_component.name}}.my_services["{{curr_serv_pack}}"].put["expect"].parse_args() {% else %}input = {{name}}_api.payload{% endif %} response = {"success": False, "data": "", "message": ""} try: obj_dict = project.get_object('{{current_component.name}}'){% if security and current_component.my_services[curr_serv_pack].put["security"] %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].put_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict, identity=identity){% else %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].put_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict){% endif %} code = 201 succ = call[SUCC] data = call[DATA] res_type = None if len(call) > 2: res_type = call[TYPE] response["success"] = succ # processing files if succ and res_type == "file": name = str(data).split("/")[-1] return send_file(data, as_attachment=True, attachment_filename=name) if succ: response["data"] = data else: response["message"] = data{% if security and current_component.my_services[curr_serv_pack].get["security"] %} code = res_type if res_type in (401, 403) else 418{% else %} code = 418{% endif %} return response, code except ServicePack.XtsServiceException as err: return err.response, err.resp_code except Exception as err: return {"success": False, "message": str(err)}, 418{% endif %} {% if current_component.my_services[curr_serv_pack].delete["active"] %}{% if current_component.my_services[curr_serv_pack].delete["expect"] and not current_component.my_services[curr_serv_pack].delete["parser"] %} delete_model = {{name}}_api.model('{{curr_serv_pack}} Delete Model', {{current_component.name}}.my_services["{{curr_serv_pack}}"].delete["expect"]){% endif %}{% if current_component.my_services[curr_serv_pack].delete["marshall"] %} delete_marshall = {{name}}_api.model('{{curr_serv_pack}} Delete Response', {{current_component.name}}.my_services["{{curr_serv_pack}}"].delete["marshall"]){% endif %} @jwt_optional {% if security and current_component.my_services[curr_serv_pack].delete["security"] %}@{{name}}_api.doc(security='api_key') {% endif %}{% if current_component.my_services[curr_serv_pack].delete["expect"] %}{% if current_component.my_services[curr_serv_pack].delete["parser"] %}@{{name}}_api.expect({{current_component.name}}.my_services["{{curr_serv_pack}}"].delete["expect"]){% else %}@{{name}}_api.expect(delete_model){% endif %} {% endif %}{% if current_component.my_services[curr_serv_pack].delete["marshall"] %}@{{name}}_api.marshal_with(delete_marshall, code=204) {% endif %}@{{name}}_api.response(204, 'Success') @{{name}}_api.response(418, 'Process error'){% if security and current_component.my_services[curr_serv_pack].delete["security"] %} @{{name}}_api.response(401, 'Unauthorized') @{{name}}_api.response(403, 'Forbidden'){% endif %} def delete(self): \"\"\"{{current_component.my_services[curr_serv_pack].delete["doc"]}}\"\"\" {% if security and current_component.my_services[curr_serv_pack].delete["security"] %} response, code = get_identity() if code != 200: return response, code identity = response["identity"] identity["token"] = response["token"] username = identity["username"] uri = "{{name}}/api/{{current_component.name}}/{{curr_serv_pack}}/DELETE" authorized = project.auth(username, uri) if not authorized: return {"success": False, "message": "You have not access to this resource"}, 401 identity['uri'] = uri {% endif %}{% if current_component.my_services[curr_serv_pack].delete["parser"] %} input = {{current_component.name}}.my_services["{{curr_serv_pack}}"].delete["expect"].parse_args() {% else %}input = {{name}}_api.payload{% endif %} response = {"success": False, "data": "", "message": ""} try: obj_dict = project.get_object('{{current_component.name}}') obj_dict = project.get_object('{{current_component.name}}'){% if security and current_component.my_services[curr_serv_pack].delete["security"] %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].delete_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict, identity=identity){% else %} call = {{current_component.name}}.my_services["{{curr_serv_pack}}"].delete_call(file_handler=project.file_handler, input=input, obj_dict=obj_dict){% endif %} code = 204 succ = call[SUCC] data = call[DATA] res_type = None if len(call) > 2: res_type = call[TYPE] response["success"] = succ if succ: response["data"] = data else: response["message"] = data{% if security and current_component.my_services[curr_serv_pack].get["security"] %} code = res_type if res_type in (401, 403) else 418{% else %} code = 418{% endif %} return response, code except ServicePack.XtsServiceException as err: return err.response, err.resp_code except Exception as err: return {"success": False, "message": str(err)}, 418{% endif %}{% endfor %}{% endfor %} """ def gen_project_src(name, id, hide_api, use_security, components_data_list, description=""): kwargs = dict() kwargs["show_name"] = name kwargs["name"] = id kwargs["hide_api"] = hide_api # define condition to activate security kwargs["security"] = use_security # each component is a controller kwargs["components"] = components_data_list kwargs["description"] = description # print("----------------Generated-------------------") # __location__ = os.path.dirname(__file__) # project_template = open(os.path.join(__location__, "project.pyt")) source = Environment().from_string(project_template).render(**kwargs) # print(source) return source

57.544018

315

0.621999

2,932

25,492

5.151432

0.075375

0.110169

0.075477

0.095339

0.763506

0.738546

0.728085

0.697365

0.677767

0.650424

0

0.012006

0.225639

25,492

442

316

57.674208

0.753141

0.009572

0

0.506297

0

0.13602

0.981102

0.42423

0

1

0.002519

false

0.010076

0.02267

0

0.128463

0.005038

0

null

0

1

0

1

0

1

null

0

5

eca32162796912b661ede687c7e4a88256a4bbcb

302

py

Python

tests/test_code/py/chained/chained.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

2,248

2015-01-13T21:44:22.000Z

2022-03-31T07:55:22.000Z

tests/test_code/py/chained/chained.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

44

2015-04-09T18:37:01.000Z

2022-03-25T19:56:11.000Z

tests/test_code/py/chained/chained.py

FreddyZeng/code2flow

37e45ca4340289f8ceec79b3fe5131c401387c58

[ "MIT" ]

220

2015-02-02T06:35:09.000Z

2022-03-31T09:21:09.000Z

class Chain(): def __init__(self, val): self.val = val def add(self, b): self.val += b return self def sub(self, b): self.val -= b return self def mul(self, b): self.val *= b return self print(Chain(5).add(5).sub(2).mul(10))

15.894737

37

0.493377

45

302

3.222222

0.333333

0.241379

0.186207

0.248276

0.517241

0.358621

0

0.026042

0.364238

302

18

38

16.777778

0.729167

0

0.230769

0

1

0.307692

false

0

0.615385

0.076923

0

null

1

0

null

0

1

0

1

0

5

01b2e89093dbbe3af6dd3eb3df94f1758a68e244

85

py

Python

recipe-bot.py

omedjaouri/recipe-bot

6fb1766153dd9060ad99ecdee4a7f1754dacfec1

[ "MIT" ]

null

recipe-bot.py

omedjaouri/recipe-bot

6fb1766153dd9060ad99ecdee4a7f1754dacfec1

[ "MIT" ]

null

recipe-bot.py

omedjaouri/recipe-bot

6fb1766153dd9060ad99ecdee4a7f1754dacfec1

[ "MIT" ]

null

import os from app import app #Run the app if __name__ == "__main__": app.run()

12.142857

26

0.670588

14

85

3.5

0.642857

0.244898

0

0.223529

85

6

27

14.166667

0.742424

0.129412

0

0.109589

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

01b60af23f996aebd1236e194d6033949c5c6849

79

py

Python

django-rgd-3d/rgd_3d/models/__init__.py

ResonantGeoData/ResonantGeoData

72b3d4085cc5700d0ad5556f31b7eb96ed2d3b8a

[ "Apache-2.0" ]

40

2020-05-07T17:15:26.000Z

2022-02-27T14:45:04.000Z

django-rgd-3d/rgd_3d/models/__init__.py

ResonantGeoData/ResonantGeoData

72b3d4085cc5700d0ad5556f31b7eb96ed2d3b8a

[ "Apache-2.0" ]

408

2020-05-07T15:10:35.000Z

2022-03-30T03:08:47.000Z

django-rgd-3d/rgd_3d/models/__init__.py

ResonantGeoData/ResonantGeoData

72b3d4085cc5700d0ad5556f31b7eb96ed2d3b8a

[ "Apache-2.0" ]

3

2021-04-12T20:16:22.000Z

2021-06-22T14:03:46.000Z

from .point_cloud import PointCloud, PointCloudMeta, PointCloudSpatial # noqa

39.5

78

0.835443

8

79

8.125

1

0

0.113924

79

1

79

0.928571

0.050633

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

bf01fc495168a8a03c3dc566600255af2fdad270

261

py

Python

code/plots/config.py

geovanecomp/Masters-Degree

6e816431f76abe576e75013e40fccf8928804a15

[ "MIT" ]

null

code/plots/config.py

geovanecomp/Masters-Degree

6e816431f76abe576e75013e40fccf8928804a15

[ "MIT" ]

null

code/plots/config.py

geovanecomp/Masters-Degree

6e816431f76abe576e75013e40fccf8928804a15

[ "MIT" ]

null

"""Common configs for plots""" class Base(): font = { 'family': 'Times New Roman', 'size': 16, } class Legend(Base): font = {**Base.font, 'weight': 'bold'} class Tick(Base): font = {**Base.font, 'size': 12}

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null

0

1

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5

bf0e635706dc0f0d8f5bd4a7ee53fda9aa672b95

205

py

Python

jolla/__init__.py

Agent-Hellboy/jolla

4aab9850c4ad88e23b7815cdf52c9ce149d299b9

[ "Apache-2.0" ]

null

jolla/__init__.py

Agent-Hellboy/jolla

4aab9850c4ad88e23b7815cdf52c9ce149d299b9

[ "Apache-2.0" ]

null

jolla/__init__.py

Agent-Hellboy/jolla

4aab9850c4ad88e23b7815cdf52c9ce149d299b9

[ "Apache-2.0" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from .server import WebApp, jolla_server, RouteError, RequestError, RequestValueError from .plugins import * from .HTTPerror import * from .session import *

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1

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5

bf25dfd3268314acafa1238c2895d9310571440f

151

py

Python

spaced_repetition/gateways/django_gateway/django_project/apps/problem/admin.py

MBlistein/spaced-repetition

c10281d43e928f8d1799076190f962f8e49a405b

[ "MIT" ]

null

spaced_repetition/gateways/django_gateway/django_project/apps/problem/admin.py

MBlistein/spaced-repetition

c10281d43e928f8d1799076190f962f8e49a405b

[ "MIT" ]

null

spaced_repetition/gateways/django_gateway/django_project/apps/problem/admin.py

MBlistein/spaced-repetition

c10281d43e928f8d1799076190f962f8e49a405b

[ "MIT" ]

null

""" Register models here for visibility in admin view""" from django.contrib import admin from .models import Problem admin.site.register(Problem)

16.777778

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151

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0.145695

151

8

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18.875

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null

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0

1

0

1

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5

1766f3ab568db1f5ec6c13355edf72fef8172976

2,690

py

Python

tests/request_sender_test.py

duongntbk/urchintai_client

3a99db9348e970be28301f154fe67d724a6557f9

[ "MIT" ]

null

tests/request_sender_test.py

duongntbk/urchintai_client

3a99db9348e970be28301f154fe67d724a6557f9

[ "MIT" ]

null

tests/request_sender_test.py

duongntbk/urchintai_client

3a99db9348e970be28301f154fe67d724a6557f9

[ "MIT" ]

null

# -*- coding: utf-8 -*- from unittest.mock import Mock import pytest from urchintai_client.request_sender import RequestSender @pytest.mark.asyncio async def test_should_return_content_if_post_ok(): ''' Test sending HTTP request using POST without error ''' # Arrange url = 'http://example.com' data = { 'content': 'dummy' } response_text = 'dummy response text' resp = MockResponse(response_text, 200) session = Mock() session.post.return_value = resp request_sender = RequestSender(session) # Act actual_response_text = await request_sender.post(url, data) # Assert assert actual_response_text == response_text @pytest.mark.asyncio async def test_should_throw_exception_if_post_not_ok(): ''' Test sending HTTP request using POST with error ''' # Arrange url = 'http://example.com' data = { 'content': 'dummy' } response_error = 'Server error' resp = MockResponse(response_error, 500) session = Mock() session.post.return_value = resp request_sender = RequestSender(session) # Act with pytest.raises(ConnectionError) as e: await request_sender.post(url, data) # Assert assert str(e.value) == f'An error occurred while sending request to {url}: {response_error}' @pytest.mark.asyncio async def test_should_return_content_if_get_ok(mocker): ''' Test sending HTTP request using GET without error ''' # Arrange url = 'http://example.com' response_text = 'dummy response text' resp = MockResponse(response_text, 200) session = Mock() session.get.return_value = resp request_sender = RequestSender(session) # Act actual_response_text = await request_sender.get(url) # Assert assert actual_response_text == response_text @pytest.mark.asyncio async def test_should_throw_exception_if_get_not_ok(mocker): ''' Test sending HTTP request using GET with error ''' # Arrange url = 'http://example.com' response_error = 'Server error' resp = MockResponse(response_error, 500) session = Mock() session.get.return_value = resp request_sender = RequestSender(session) # Act with pytest.raises(ConnectionError) as e: await request_sender.get(url) # Assert assert str(e.value) == f'An error occurred while sending request to {url}: {response_error}' class MockResponse: def __init__(self, text, status): self._text = text self.status = status async def text(self): return self._text async def __aexit__(self, exc_type, exc, tb): pass async def __aenter__(self): return self

23.596491

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334

2,690

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0.038769

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0.842645

0.752566

0.696693

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2,690

113

97

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0

null

0

1

0

1

0

null

0

5

179d63c31db3d56282949d21ed51d7be954d76bc

38

py

Python

crawlib/tests/dummy_site/config.py

MacHu-GWU/crawlib-project

b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991

[ "MIT" ]

1

2020-06-19T09:45:20.000Z

crawlib/tests/dummy_site/config.py

MacHu-GWU/crawlib-project

b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991

[ "MIT" ]

1

2019-12-27T18:41:21.000Z

crawlib/tests/dummy_site/config.py

MacHu-GWU/crawlib-project

b2963b7f6a36ee7f1ef95a6bf9d8cb746d9da991

[ "MIT" ]

1

2018-08-22T01:27:32.000Z

# -*- coding: utf-8 -*- PORT = 58461

9.5

23

0.5

5

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3.8

1

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0.236842

38

3

24

12.666667

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0

1

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1

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1

0

1

0

null

0

5

179e1ac32a8b8a2457afbd20b8a1c0c00b09e0d3

262

py

Python

delete_db.py

revalo/hush.mit.edu

e47c28c934dcfb94c52f6e12367869389e8ed7a8

[ "MIT" ]

21

2017-10-30T20:55:48.000Z

2021-09-03T14:06:58.000Z

delete_db.py

revalo/hush.mit.edu

e47c28c934dcfb94c52f6e12367869389e8ed7a8

[ "MIT" ]

1

2021-11-08T02:05:34.000Z

2021-11-08T06:54:41.000Z

delete_db.py

revalo/hush.mit.edu

e47c28c934dcfb94c52f6e12367869389e8ed7a8

[ "MIT" ]

3

2017-11-15T23:18:00.000Z

2018-01-01T06:44:03.000Z

if __name__ == '__main__': from confess.models import db from confess.models.post import Post from confess.models.vote import Vote if raw_input('r u sure? ') == 'y': Vote.query.delete() Post.query.delete() db.session.commit()

29.111111

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36

262

4.416667

0.555556

0.207547

0.320755

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0.236641

262

9

41

29.111111

0.795

0

0.072243

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true

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0.375

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null

1

0

1

0

null

0

1

0

1

0

5

bd68b3f696d1db8f0dc01b755678f9dbb03d4767

105

py

Python

qcdb/iface_cfour/__init__.py

vivacebelles/qcdb

5bbdcb5c833277647a36bb0a5982abb56bf29b20

[ "BSD-3-Clause" ]

1

2019-02-20T20:18:02.000Z

qcdb/iface_cfour/__init__.py

vivacebelles/qcdb

5bbdcb5c833277647a36bb0a5982abb56bf29b20

[ "BSD-3-Clause" ]

null

qcdb/iface_cfour/__init__.py

vivacebelles/qcdb

5bbdcb5c833277647a36bb0a5982abb56bf29b20

[ "BSD-3-Clause" ]

null

from .runner import run_cfour from .harvester import cfour_list, cfour_gradient_list, cfour_hessian_list

35

74

0.866667

16

105

5.3125

0.5625

0.211765

0

0.095238

105

2

75

52.5

0.894737

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

bd789b124be99ba7ae57e62a45507ab9c1c207e8

150

py

Python

penin/bootstrap.py

fabaff/penin

6a93984357b4478907746225bfadea0bfc8b681c

[ "Apache-2.0" ]

4

2019-06-04T04:14:42.000Z

2021-04-02T17:25:28.000Z

penin/bootstrap.py

fabaff/penin

6a93984357b4478907746225bfadea0bfc8b681c

[ "Apache-2.0" ]

null

penin/bootstrap.py

fabaff/penin

6a93984357b4478907746225bfadea0bfc8b681c

[ "Apache-2.0" ]

null

"""Load the PenIn framework.""" from penin.controllers.base import Base def load(app): """Load the framework.""" app.handler.register(Base)

18.75

39

0.686667

20

150

5.15

0.6

0.135922

0

0.16

150

7

40

21.428571

0.81746

0.3

0

1

0.333333

false

0

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

bdcf493d16d58f4853727bf971409fe31f18bc7b

113

py

Python

filmoteca_api/admin.py

NelsonPenagos/filmoteca-app-api

01d18a13fdb5a703c1fa07305df147668cead4c0

[ "MIT" ]

null

filmoteca_api/admin.py

NelsonPenagos/filmoteca-app-api

01d18a13fdb5a703c1fa07305df147668cead4c0

[ "MIT" ]

null

filmoteca_api/admin.py

NelsonPenagos/filmoteca-app-api

01d18a13fdb5a703c1fa07305df147668cead4c0

[ "MIT" ]

null

from django.contrib import admin from filmoteca_api.models.movie_models import Movie admin.site.register(Movie)

22.6

51

0.849558

17

113

5.529412

0.647059

0

0.088496

113

4

52

28.25

0.912621

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true

0

0.666667

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0.666667

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

bdda93b1bada4f564c2d0870ea9c181124897cea

119

py

Python

00_Introduction/hello.py

sreecodeslayer/python3-tutorial

399489ebe28a59bb9c10ac2cce7c64604d77c635

[ "MIT" ]

null

00_Introduction/hello.py

sreecodeslayer/python3-tutorial

399489ebe28a59bb9c10ac2cce7c64604d77c635

[ "MIT" ]

null

00_Introduction/hello.py

sreecodeslayer/python3-tutorial

399489ebe28a59bb9c10ac2cce7c64604d77c635

[ "MIT" ]

null

# Hello world ''' We will use this file to write our first statement in Python Pretty simple: print('Hello world') '''

17

60

0.722689

19

119

4.526316

0.894737

0.232558

0

0.176471

119

7

61

17

0.877551

0.92437

0

null

0

null

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null

true

0

null

1

0

null

1

0

1

0

1

0

null

0

1

0

5

bdef729803104fa8b18ef4112d2e114eddc8a0c0

723

py

Python

tests/luna_pathology/cli/test_collect_tile_segment.py

msk-mind-apps/luna-pathology

f0e17ccfeb3dc93de150aed5bbef9fcd7443d6d0

[ "Apache-2.0" ]

null

tests/luna_pathology/cli/test_collect_tile_segment.py

msk-mind-apps/luna-pathology

f0e17ccfeb3dc93de150aed5bbef9fcd7443d6d0

[ "Apache-2.0" ]

3

2021-07-21T20:28:37.000Z

2021-08-02T18:52:32.000Z

tests/luna_pathology/cli/test_collect_tile_segment.py

msk-mind-apps/luna-pathology

f0e17ccfeb3dc93de150aed5bbef9fcd7443d6d0

[ "Apache-2.0" ]

null

from click.testing import CliRunner from luna_pathology.cli.collect_tile_segment import cli import shutil, os # @todo FIX: https://github.com/msk-mind-apps/luna-core/blob/main/luna_core/common/DataStore.py#L17 # def test_cli(): # # runner = CliRunner() # result = runner.invoke(cli, [ # '-a', 'tests/luna_pathology/cli/testdata/test_config.yaml', # '-s', '123', # '-m', 'tests/luna_pathology/cli/testdata/collect_tile_results.json']) # # assert result.exit_code == 0 # assert os.path.exists('tests/luna_pathology/cli/testdata/data/test/slides/ovarian_clf_v1/123.parquet') # # # cleanup # shutil.rmtree('tests/luna_pathology/cli/testdata/data/test/slides/ovarian_clf_v1/')

34.428571

108

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723

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0.170732

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0

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0.142462

723

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true

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null

0

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1

0

null

0

1

0

1

0

1

0

5

da296efeece27ac6de4735fd08c828e286a248b0

29

py

Python

src/GameTools/Tools/__init__.py

spidertyler2005/GameTools

f64a8ec0ebb4a357e04b90317136853d831d3553

[ "MIT" ]

1

2021-06-07T18:33:09.000Z

src/GameTools/Tools/__init__.py

spidertyler2005/GameTools

f64a8ec0ebb4a357e04b90317136853d831d3553

[ "MIT" ]

null

src/GameTools/Tools/__init__.py

spidertyler2005/GameTools

f64a8ec0ebb4a357e04b90317136853d831d3553

[ "MIT" ]

null

from . import Messaging,Math

29

0.793103

4

29

5.75

1

0

0.137931

29

1

29

0.92

0

1

0

true

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1

0

null

0

1

0

null

0

1

0

1

0

5

da612f7db7fc0a0c1df66ca00f63f5eb10fd53ec

10,389

py

Python

tests/test_element_input.py

mate-code/alfred

e687e9318ecefe3a49565027841ca8d910647978

[ "MIT" ]

9

2020-05-11T08:13:12.000Z

2022-01-20T11:35:14.000Z

tests/test_element_input.py

mate-code/alfred

e687e9318ecefe3a49565027841ca8d910647978

[ "MIT" ]

77

2019-02-22T07:34:58.000Z

2022-02-23T15:32:34.000Z

tests/test_element_input.py

mate-code/alfred

e687e9318ecefe3a49565027841ca8d910647978

[ "MIT" ]

6

2020-11-11T16:51:04.000Z

2022-02-21T10:29:02.000Z

import pytest import alfred3 as al import alfred3.element.input as inp from alfred3.exceptions import AlfredError from alfred3.testutil import get_exp_session, clear_db @pytest.fixture def exp(tmp_path): script = "tests/res/script-hello_world.py" secrets = "tests/res/secrets-default.conf" exp = get_exp_session(tmp_path, script_path=script, secrets_path=secrets) exp += al.Page(title="Testpage", name="testpage") yield exp clear_db() class TestPasswordEntry: def test_nomatch(self, exp): exp.testpage += inp.PasswordEntry("rightpass", name="pentry") exp.testpage._set_data({"pentry": "wrongpass"}) assert not exp.testpage.pentry.validate_data() def test_match(self, exp): exp.testpage += inp.PasswordEntry("rightpass", name="pentry") exp.testpage._set_data({"pentry": "rightpass"}) assert exp.testpage.pentry.validate_data() def test_list_of_passwords(self, exp): with pytest.raises(ValueError) as excinfo: inp.PasswordEntry(["rightpass1", "rightpass2"], name="pentry") assert "must be a string" in str(excinfo.value) and "pentry" in str(excinfo.value) class TestMultiplePasswordEntry: def test_singlepass(self, exp): with pytest.raises(ValueError) as excinfo: inp.MultiplePasswordEntry("rightpass", name="pentry") exp.testpage._set_data({"pentry": "wrongpass"}) assert "must be a list or a tuple" in str(excinfo.value) and "pentry" in str(excinfo.value) def test_match1(self, exp): exp.testpage += inp.MultiplePasswordEntry(["rightpass1", "rightpass2"], name="pentry") exp.testpage._set_data({"pentry": "rightpass1"}) assert exp.testpage.pentry.validate_data() def test_match2(self, exp): exp.testpage += inp.MultiplePasswordEntry(["rightpass1", "rightpass2"], name="pentry") exp.testpage._set_data({"pentry": "rightpass2"}) assert exp.testpage.pentry.validate_data() class TestSingleChoiceElement: def test_data(self, exp): exp.testpage += al.SingleChoice("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"test": 2}) assert exp.values["test"] == 2 assert exp.testpage.test.choice_labels[2-1] == "b" class TestSingleChoiceButtons: def test_data(self, exp): exp.testpage += al.SingleChoiceButtons("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"test": 2}) assert exp.values["test"] == 2 class TestSubmittingButtons: def test_data(self, exp): exp.testpage += al.SubmittingButtons("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"test": 2}) assert exp.values["test"] == 2 class TestSingleChoiceBar: def test_data(self, exp): exp.testpage += al.SingleChoiceBar("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"test": 2}) assert exp.values["test"] == 2 class TestSingleChoiceList: def test_data(self, exp): exp.testpage += al.SingleChoiceList("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"test": "a"}) assert exp.values["test"] == "a" class TestMultipleChoiceElement: def test_data(self, exp): exp.testpage += al.MultipleChoice("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({f"test_choice1": "1"}) assert exp.values["test"]["choice1"] == True class TestMultipleButtons: def test_data(self, exp): exp.testpage += al.MultipleChoiceButtons("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"test_choice1": "1"}) assert exp.values["test"]["choice1"] == True class TestMultipleChoiceBar: def test_data(self, exp): exp.testpage += al.MultipleChoiceBar("a", "b", name="test") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({f"test_choice1": "1"}) assert exp.values["test"]["choice1"] == True class TestEmailEntry: def test_correct_email(self, exp): exp.testpage += al.EmailEntry(name="email") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"email": "abc@test.de"}) assert exp.testpage.email.validate_data() def test_incorrect_email(self, exp): exp.testpage += al.EmailEntry(name="email") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"email": "abctest.de"}) assert not exp.testpage.email.validate_data() class TestMatchEntry: def test_match(self, exp): exp.testpage += al.MatchEntry(pattern="this", name="match") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"match": "this"}) assert exp.testpage.match.validate_data() def test_no_match(self, exp): exp.testpage += al.MatchEntry(pattern="this", name="match") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"match": "not this"}) assert not exp.testpage.match.validate_data() class TestNumberEntry: def test_integer(self, exp): exp.testpage += al.NumberEntry(name="number") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1"}) assert exp.testpage.number.validate_data() assert exp.testpage.number.input == 1 assert exp.values.get("number") == 1 def test_decimal_point(self, exp): exp.testpage += al.NumberEntry(name="number", ndecimals=1) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1.1"}) assert exp.testpage.number.validate_data() assert exp.testpage.number.input == 1.1 assert exp.values.get("number") == 1.1 def test_decimal_comma(self, exp): exp.testpage += al.NumberEntry(name="number", ndecimals=1) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1,1"}) assert exp.testpage.number.validate_data() assert exp.testpage.number.input == 1.1 assert exp.values.get("number") == 1.1 def test_string(self, exp): exp.testpage += al.NumberEntry(name="number", ndecimals=1) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "test"}) assert not exp.testpage.number.validate_data() def test_min(self, exp): exp.testpage += al.NumberEntry(name="number", min=2) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1"}) assert not exp.testpage.number.validate_data() def test_max(self, exp): exp.testpage += al.NumberEntry(name="number", max=2) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "3"}) assert not exp.testpage.number.validate_data() def test_ndecimals(self, exp): exp.testpage += al.NumberEntry(name="number", ndecimals=2) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1,12"}) assert exp.testpage.number.validate_data() assert exp.testpage.number.input == 1.12 assert exp.values.get("number") == 1.12 def test_ndecimals_fail(self, exp): exp.testpage += al.NumberEntry(name="number", ndecimals=2) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1,123"}) assert not exp.testpage.number.validate_data() def test_decimal_sign_fail(self, exp): exp.testpage += al.NumberEntry(name="number", decimal_signs=";") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1,12"}) assert not exp.testpage.number.validate_data() def test_decimal_sign_semicolon_fail(self, exp): # validation fails, because ndecimals=0 default exp.testpage += al.NumberEntry(name="number", decimal_signs=";") exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1;12"}) assert not exp.testpage.number.validate_data() def test_decimal_sign_semicolon(self, exp): # validation fails, because ndecimals=0 default exp.testpage += al.NumberEntry(name="number", decimal_signs=";", ndecimals=1) exp.start() exp.forward() exp.testpage.prepare_web_widget() exp.testpage._set_data({"number": "1;1"}) assert exp.testpage.number.validate_data() assert exp.testpage.number.input == 1.1 assert exp.values.get("number") == 1.1 # class TestMultipleChoiceList: # def test_data_select_one(self, exp): # exp.testpage += al.MultipleChoiceList("a", "b", name="test") # exp.start() # exp.forward() # exp.testpage.prepare_web_widget() # exp.testpage._set_data({f"test": ["1"]}) # assert exp.values["test"]["choice1"] == True # def test_data_select_multiple(self, exp): # exp.testpage += al.MultipleChoiceList("a", "b", name="test") # exp.start() # exp.forward() # exp.testpage.prepare_web_widget() # exp.testpage._set_data({f"test": ["1", "2"]}) # assert exp.values["test"]["choice1"] == True # assert exp.values["test"]["choice2"] == True

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99

0.620753

1,249

10,389

5.005604

0.115292

0.191779

0.067179

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0.788708

0.770633

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0.666987

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0

0.011436

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10,389

358

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29.019553

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null

0

1

0

1

0

null

0

1

0

5

da645a8124fa6fdddb3cff05ed8dca35314eb6e0

68

py

Python

src/hommmer/features/lag.py

hammer-mt/hommmer

a02cb87841395f30911242a019f28f6ac15f27ec

[ "MIT" ]

4

2021-11-09T21:27:30.000Z

2021-11-23T00:38:20.000Z

src/hommmer/features/lag.py

hammer-mt/hommmer

a02cb87841395f30911242a019f28f6ac15f27ec

[ "MIT" ]

null

src/hommmer/features/lag.py

hammer-mt/hommmer

a02cb87841395f30911242a019f28f6ac15f27ec

[ "MIT" ]

null

def lag(series, periods): return series.shift(periods).fillna(0)

34

42

0.735294

10

68

5

0.8

0

0.016667

0.117647

68

2

42

34

0.816667

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

da7b4ec5e8fd5c5a3badd06f5f15138375590cb7

38

py

Python

napari/layers/_labels_layer/view/__init__.py

donovanr/napari

580b5eab8cc40af53aef780a65adb9216d968a32

[ "BSD-3-Clause" ]

null

napari/layers/_labels_layer/view/__init__.py

donovanr/napari

580b5eab8cc40af53aef780a65adb9216d968a32

[ "BSD-3-Clause" ]

null

napari/layers/_labels_layer/view/__init__.py

donovanr/napari

580b5eab8cc40af53aef780a65adb9216d968a32

[ "BSD-3-Clause" ]

null

from .properties import QtLabelsLayer

19

37

0.868421

4

38

8.25

1

0

0.105263

38

1

38

0.970588

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

5

da8802574c1434018bce5d57980a18f8fec7437e

118

py

Python

backend/db_update.py

VidithM/goto-music

5e0901f46d0e82a6ca01025b766f87fe88e857d5

[ "MIT" ]

null

backend/db_update.py

VidithM/goto-music

5e0901f46d0e82a6ca01025b766f87fe88e857d5

[ "MIT" ]

null

backend/db_update.py

VidithM/goto-music

5e0901f46d0e82a6ca01025b766f87fe88e857d5

[ "MIT" ]

null

def push(db, id, start): curr = db.child('songs').get().val() curr[id] = start db.child('songs').set(curr)

29.5

40

0.576271

19

118

3.578947

0.578947

0.205882

0.352941

0

0.186441

118

4

41

29.5

0.708333

0

0.084034

0

1

0.25

false

0

0.25

0

1

0

null

1

0

1

0

null

0

1

0

5

16f1a4618ff34f7853cbcf600950459863f51d24

130

py

Python

codes/Ex021.py

BelfortJoao/Curso-phyton01

79376233be228f39bf548f90b8d9bd5419ac067a

[ "MIT" ]

3

2021-08-17T14:02:14.000Z

2021-08-19T02:37:30.000Z

codes/Ex021.py

BelfortJoao/Curso-phyton01

79376233be228f39bf548f90b8d9bd5419ac067a

[ "MIT" ]

null

codes/Ex021.py

BelfortJoao/Curso-phyton01

79376233be228f39bf548f90b8d9bd5419ac067a

[ "MIT" ]

null

import pygame pygame.init() pygame.mixer.music.load('E.mp3') pygame.mixer.music.play() pygame.event.wait() print('boa musica ne?')

21.666667

32

0.746154

21

130

4.619048

0.714286

0.226804

0.329897

0

0.008197

0.061538

130

6

33

21.666667

0.786885

0

0.145038

0

1

0

true

0

0.166667

0

0.166667

1

0

null

1

0

1

0

null

0

1

0

5

e503db1a3427c718c7e210a474c59fc244253a9f

140

py

Python

utils/__init__.py

mathandy/handwritten_digit_recognition

37ca5cadfaa0b2554873b2a1bf9fb7b729776eac

[ "MIT" ]

1

2018-06-01T10:51:03.000Z

utils/__init__.py

mathandy/handwritten_digit_recognition

37ca5cadfaa0b2554873b2a1bf9fb7b729776eac

[ "MIT" ]

null

utils/__init__.py

mathandy/handwritten_digit_recognition

37ca5cadfaa0b2554873b2a1bf9fb7b729776eac

[ "MIT" ]

2

2018-03-27T13:39:39.000Z

2018-07-16T18:02:51.000Z

from .diagnostic_tools import diagnostic from .display_tools import printmat from .load_data import load_data, k21hot, split_data, parentdir

46.666667

63

0.857143

20

140

5.75

0.55

0.191304

0

0.015873

0.1

140

3

63

46.666667

0.896825

0

1

0

true

0

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1

0

null

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1

0

null

0

1

0

1

0

1

0

5

e5353b78a45f55ab034bc26393fbdcc7d2180cd0

96

py

Python

anvil/sub_rig_templates/center_of_mass.py

AndresMWeber/Anvil

9cd202183ac998983c2bf6e55cc46bbc0ca1a78e

[ "Apache-2.0" ]

3

2019-11-22T04:38:06.000Z

2022-01-19T08:27:18.000Z

anvil/sub_rig_templates/center_of_mass.py

AndresMWeber/Anvil

9cd202183ac998983c2bf6e55cc46bbc0ca1a78e

[ "Apache-2.0" ]

28

2018-02-01T20:39:42.000Z

2018-04-26T17:25:23.000Z

anvil/sub_rig_templates/center_of_mass.py

AndresMWeber/Anvil

9cd202183ac998983c2bf6e55cc46bbc0ca1a78e

[ "Apache-2.0" ]

1

2018-03-11T06:47:26.000Z

from base_sub_rig_template import SubRigTemplate class CenterOfMass(SubRigTemplate): pass

16

48

0.833333

11

96

7

0.909091

0

0.135417

96

5

49

19.2

0.927711

0

1

0

true

0.333333

0

0.666667

0

1

0

null

0

1

0

null

0

1

0

5

e54220e947404933da9a18d18cdfce725d2a0ab5

107

py

Python

asyncns/utils/__init__.py

AavHRF/asyncns

5b3e0abf612c034846154241636679c64c7e4bdf

[ "MIT" ]

null

asyncns/utils/__init__.py

AavHRF/asyncns

5b3e0abf612c034846154241636679c64c7e4bdf

[ "MIT" ]

null

asyncns/utils/__init__.py

AavHRF/asyncns

5b3e0abf612c034846154241636679c64c7e4bdf

[ "MIT" ]

null

from xml_parser import ShardParser from ratelimit import Limiter from param_generator import ParamGenerator

35.666667

42

0.897196

14

107

6.714286

0.714286

0

0.102804

107

3

42

35.666667

0.979167

0

1

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true

0

1

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1

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1

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null

0

1

0

null

0

1

0

1

0

1

0

5

e585a5fd495c33ec8080e2fd4d14f0bf659cd270

45

py

Python

AsyncParse/exceptions.py

B0R0koko/asyncparse0.1.2

58a98aba9e3b21dd7e30ad2d3f5581a50c4fcf26

[ "MIT" ]

null

AsyncParse/exceptions.py

B0R0koko/asyncparse0.1.2

58a98aba9e3b21dd7e30ad2d3f5581a50c4fcf26

[ "MIT" ]

null

AsyncParse/exceptions.py

B0R0koko/asyncparse0.1.2

58a98aba9e3b21dd7e30ad2d3f5581a50c4fcf26

[ "MIT" ]

null

class BadStatusException(Exception): pass

22.5

36

0.8

4

45

9

1

0

0.133333

45

2

37

22.5

0.923077

0

1

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true

0.5

0

0.5

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1

0

null

0

1

0

null

0

1

0

5

e5c04f4e35aa52d6a841a375bed2f1fe893c279b

8,850

py

Python

Protheus_WebApp/Modules/SIGAAGR/OGA250TestCase.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

17

2018-09-24T17:27:08.000Z

2021-09-16T19:09:46.000Z

Protheus_WebApp/Modules/SIGAAGR/OGA250TestCase.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

4

2018-09-24T17:30:32.000Z

2022-01-03T11:39:30.000Z

Protheus_WebApp/Modules/SIGAAGR/OGA250TestCase.py

98llm/tir-script-samples

0bff8393b79356aa562e9e6512c11ee6e039b177

[ "MIT" ]

18

2019-06-07T17:41:34.000Z

2022-01-31T18:17:31.000Z

from tir import Webapp import unittest class OGA250(unittest.TestCase): @classmethod def setUpClass(inst): from datetime import datetime DateSystem = datetime.today().strftime('%d/%m/%Y') inst.oHelper = Webapp() inst.oHelper.Setup('SIGAAGR',DateSystem,'T1','D MG 01 ') def test_OGA250_CT001(self): #Cenário 001: Entrada por produção - nova comercialização self.oHelper.Program('OGA250') self.oHelper.AddParameter("MV_AGRA001", "", ".T.", ".T.", ".T.") self.oHelper.AddParameter("MV_AGRO002", "", ".T.", ".T.", ".T.") self.oHelper.AddParameter("MV_SIGAAGR","",".T.",".T.",".T.") self.oHelper.AddParameter("MV_ARM251A", "", "001", "001", "001") self.oHelper.AddParameter("MV_AGRTMPR", "", "010", "010", "010") self.oHelper.AddParameter("MV_AGRTMPS", "", "001", "001", "001") self.oHelper.AddParameter("MV_AGRTMRQ", "", "501", "501", "501") self.oHelper.SetParameters() self.oHelper.WaitShow("Romaneios com Pesagem") self.oHelper.SetKey("F12") self.oHelper.SetValue("MV_PAR01", "000001", name_attr=True) self.oHelper.SetButton("Ok") self.oHelper.SetButton("Incluir") self.oHelper.SetButton("Ok") self.oHelper.SetValue("Tipo", "1") self.oHelper.SetValue("Cod.Entidade", "000001") self.oHelper.SetValue("Loj.Entidade", "01") self.oHelper.ClickFolder("Analise") self.oHelper.SetValue("Cod. Safra", "1920") self.oHelper.SetValue("Cod. Produto", "AGR-FARDAO-ALGODAO") self.oHelper.SetValue("Local", "01") self.oHelper.SetValue("Fazenda", "01") self.oHelper.SetValue("Un. Benef.", "01") self.oHelper.SetButton("Outras Ações", "Vincular Fardões") self.oHelper.ClickBox("Código","000033", grid_number=1) self.oHelper.SetButton(">>") self.oHelper.SetButton("Salvar") self.oHelper.SetButton("Outras Ações", "Pesagem") self.oHelper.SetValue("nPeso", "1000", name_attr=True) self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("Outras Ações", "Pesagem") self.oHelper.SetValue("nPeso", "101000", name_attr=True) self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("Fechar") self.oHelper.SetButton("Outras Ações", "Atualizar") self.oHelper.SetButton("Sim") self.oHelper.SetButton("Outras Ações", "Confirmar") self.oHelper.WaitHide("Aguarde") self.oHelper.SetButton("Visualizar") self.oHelper.ClickFolder("Pesagem") self.oHelper.CheckResult("NJJ_PSSUBT", "100.000,00") self.oHelper.ClickFolder("Controle") self.oHelper.CheckResult("NJJ_STATUS", "3 - Confirmado") self.oHelper.AssertTrue() self.oHelper.SetButton("Fechar") self.oHelper.SetButton("x") def test_OGA250_CT002(self): #Cenário 002: Exclusão documento de saída e reabertura do romaneio (atualizado) self.oHelper.SetLateralMenu("Atualizações > Gestão Agrícola > Faturamento > Exclus. Doc. Saída") ###self.oHelper.Program("MATA521A") self.oHelper.AddParameter("MV_SIGAAGR","",".T.",".T.",".T.") self.oHelper.SetParameters() self.oHelper.SetValue("Modelo de Interface ?" ,"Marcacao") self.oHelper.SetValue("Selecionar itens ?" ,"Nao") self.oHelper.SetValue("Dt.Emissao de ?" ,"01/01/2000") self.oHelper.SetValue("Dt.Emissao ate ?" ,"31/12/2045") self.oHelper.SetValue("Serie de ?" ,"001") self.oHelper.SetValue("Serie ate ?" ,"001") self.oHelper.SetValue("Documento de ?" ,"T2501K") self.oHelper.SetValue("Documento ate ?" ,"T2501K") self.oHelper.SetButton("OK") self.oHelper.ClickBox("Numero","T2501K") self.oHelper.SetButton("Outras Ações","Excluir") self.oHelper.SetButton("Sim") self.oHelper.WaitProcessing("Estorno dos documentos de saida") self.oHelper.SetButton("x") self.oHelper.Program('OGA250') self.oHelper.SearchBrowse("D MG 01 0000000135", "Filial+cod.romaneio") self.oHelper.SetButton("Visualizar") self.oHelper.ClickFolder("Controle") self.oHelper.CheckResult("NJJ_STATUS", "2 - Atualizado") self.oHelper.AssertTrue() self.oHelper.SetButton("Fechar") self.oHelper.SetButton("x") def test_OGA250_CT003(self): #Cenário 003: Exclusão documento de saída e reabertura do romaneio (atualizado) self.oHelper.SetLateralMenu("Atualizações > Gestão Agrícola > Faturamento > Exclus. Doc. Saída") #self.oHelper.Program("MATA521A") self.oHelper.AddParameter("MV_SIGAAGR","",".T.",".T.",".T.") self.oHelper.SetParameters() self.oHelper.SetValue("Modelo de Interface ?" ,"Marcacao") self.oHelper.SetValue("Selecionar itens ?" ,"Nao") self.oHelper.SetValue("Dt.Emissao de ?" ,"01/01/2000") self.oHelper.SetValue("Dt.Emissao ate ?" ,"31/12/2045") self.oHelper.SetValue("Serie de ?" ,"001") self.oHelper.SetValue("Serie ate ?" ,"001") self.oHelper.SetValue("Documento de ?" ,"T2501L") self.oHelper.SetValue("Documento ate ?" ,"T2501L") self.oHelper.SetButton("OK") self.oHelper.ClickBox("Numero","T2501L") self.oHelper.SetButton("Outras Ações","Excluir") self.oHelper.SetButton("Sim") self.oHelper.WaitProcessing("Estorno dos documentos de saida") self.oHelper.SetButton("x") self.oHelper.Program('OGA250') self.oHelper.SearchBrowse("D MG 01 0000000136", "Filial+cod.romaneio") self.oHelper.SetButton("Visualizar") self.oHelper.ClickFolder("Controle") self.oHelper.CheckResult("NJJ_STATUS", "2 - Atualizado") self.oHelper.AssertTrue() self.oHelper.SetButton("Fechar") self.oHelper.SetButton("x") def test_OGA250_CT004(self): #cenario exclusão doc entrada #Cenário 004: Exclusão documento de entrada e reabertura do romaneio (atualizado) self.oHelper.Program('MATA103') self.oHelper.AddParameter("MV_SIGAAGR","",".T.",".T.",".T.") self.oHelper.SetParameters() self.oHelper.SearchBrowse("D MG 01 T25023", "Filial+numero") self.oHelper.SetButton('Outras Ações', "Excluir") self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("x") self.oHelper.Program('OGA250') self.oHelper.SearchBrowse("D MG 01 0000000147", "Filial+cod.romaneio") self.oHelper.SetButton("Visualizar") self.oHelper.ClickFolder("Controle") self.oHelper.CheckResult("NJJ_STATUS", "2 - Atualizado") self.oHelper.AssertTrue() self.oHelper.SetButton("Fechar") self.oHelper.SetButton("x") def test_OGA250_CT005(self): #Cenário 005: Expedição Algodão sem IE - Novo Negócio if self.oHelper.GetRelease() >= "12.1.028": self.oHelper.Program('OGA250') self.oHelper.AddParameter("MV_AGRA001", "", ".T.", ".T.", ".T.") self.oHelper.AddParameter("MV_AGRO002", "", ".T.", ".T.", ".T.") self.oHelper.AddParameter("MV_SIGAAGR", "", ".T.", ".T.", ".T.") self.oHelper.AddParameter("MV_OGDECPS", "", "2", "2", "2") self.oHelper.AddParameter("MV_AGRTMPP", "", "501", "501", "501") self.oHelper.SetParameters() self.oHelper.WaitShow("Romaneios com Pesagem") self.oHelper.SearchBrowse("D MG 01 0000000154", "Filial+cod.romaneio") self.oHelper.SetButton("Alterar") self.oHelper.ClickFolder("Comercialização") self.oHelper.SetValue("Intervalo", "001", grid=True) self.oHelper.SetValue("Id Regra", "002", grid=True) self.oHelper.LoadGrid() self.oHelper.SetButton("Confirmar") self.oHelper.SetButton("Fechar") self.oHelper.SetButton("Outras Ações","Vincular Fardos") self.oHelper.ClickBox("Filial",select_all=True, grid_number=1) self.oHelper.SetButton(">>") self.oHelper.SetButton("Salvar") self.oHelper.SetButton("Outras Ações","Atualizar") self.oHelper.SetButton("Sim") self.oHelper.SetButton("Outras Ações","Confirmar") self.oHelper.WaitShow("Serie / Notas") self.oHelper.SetButton("Ok") self.oHelper.SetButton("Ok") self.oHelper.SetButton("Cancelar") self.oHelper.SetButton("Visualizar") self.oHelper.ClickFolder("Controle") self.oHelper.CheckResult("NJJ_STATUS", "3 - Confirmado") self.oHelper.AssertTrue() self.oHelper.SetButton("Fechar") self.oHelper.SetButton("x") @classmethod def tearDownClass(inst): inst.oHelper.TearDown() if __name__ == '__main__': unittest.main()

46.09375

112

0.633333

962

8,850

5.778586

0.201663

0.294837

0.190682

0.067458

0.751754

0.740601

0.711279

0.66145

0.64454

0.634107

0

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0.202938

8,850

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0.740856

0.058983

0

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e5d524e9b2f6d925c686fc24e026a46906755d04

3,125

py

Python

lifts/migrations/0002_cardio_cardioinstance_liftinstance_workout_workoutinstance.py

davishayden/gains

8a9855537e8dd1a3cd5b938fa71bef79c40af1a2

[ "MIT" ]

null

lifts/migrations/0002_cardio_cardioinstance_liftinstance_workout_workoutinstance.py

davishayden/gains

8a9855537e8dd1a3cd5b938fa71bef79c40af1a2

[ "MIT" ]

null

lifts/migrations/0002_cardio_cardioinstance_liftinstance_workout_workoutinstance.py

davishayden/gains

8a9855537e8dd1a3cd5b938fa71bef79c40af1a2

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.1 on 2016-10-19 14:00 from __future__ import unicode_literals import django.contrib.postgres.fields from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('lifts', '0001_initial'), ] operations = [ migrations.CreateModel( name='Cardio', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('created_at', models.DateTimeField(verbose_name='created at')), ], ), migrations.CreateModel( name='CardioInstance', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('type', models.IntegerField()), ('created_at', models.DateTimeField(verbose_name='created at')), ('duration', models.FloatField()), ('distance', models.FloatField()), ], ), migrations.CreateModel( name='LiftInstance', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created_at', models.DateTimeField(verbose_name='created at')), ('type', models.IntegerField()), ('reps', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ('sets', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ('weight', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ], ), migrations.CreateModel( name='Workout', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('created_at', models.DateTimeField(verbose_name='created at')), ('cardio_plan', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ('lift_plan', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ], ), migrations.CreateModel( name='WorkoutInstance', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=200)), ('created_at', models.DateTimeField(verbose_name='created at')), ('cardio_events', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ('lift_events', django.contrib.postgres.fields.ArrayField(base_field=models.IntegerField(), size=None)), ], ), ]

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1

0

1

0

null

0

5

e5d6e134dd5e4e2d4291439689de364fc229eafd

800

py

Python

python/api/models.py

kellenschmidt/yelp-for-hair-stylists

778cc39715cfd6eb7801925858a2c581fb492198

[ "Apache-2.0" ]

null

python/api/models.py

kellenschmidt/yelp-for-hair-stylists

778cc39715cfd6eb7801925858a2c581fb492198

[ "Apache-2.0" ]

null

python/api/models.py

kellenschmidt/yelp-for-hair-stylists

778cc39715cfd6eb7801925858a2c581fb492198

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models class Review(models.Model): comment = models.CharField(max_length=1000) conversation = models.IntegerField() title = models.CharField(max_length=100) style = models.IntegerField() satisfaction = models.IntegerField() worker_id = models.IntegerField() age = models.IntegerField() gender = models.IntegerField() price = models.IntegerField() def __str__(self): return self.id class Worker(models.Model): store_id = models.CharField(max_length=200) name = models.CharField(max_length=200) def __str__(self): return self.id class Store(models.Model): store_id = models.CharField(max_length=200) phone_number = models.CharField(max_length=200) def __str__(self): return self.store_id

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null

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5

f908dc5c5ead63cef0667ae548d2127d2a4bf82a

46

py

Python

smart_imports/__init__.py

Tiendil/smart-imports

c0d4b17394d3250520f0554c1f0164487a0a7971

[ "BSD-3-Clause" ]

32

2019-07-15T19:50:38.000Z

2021-09-04T07:56:19.000Z

smart_imports/__init__.py

Tiendil/smart-imports

c0d4b17394d3250520f0554c1f0164487a0a7971

[ "BSD-3-Clause" ]

18

2018-06-12T17:41:08.000Z

2021-11-08T21:42:48.000Z

smart_imports/__init__.py

Tiendil/smart-imports

c0d4b17394d3250520f0554c1f0164487a0a7971

[ "BSD-3-Clause" ]

8

2019-03-18T16:51:24.000Z

2021-02-24T00:44:04.000Z

from .importer import all __all__ = (all,)

7.666667

25

0.673913

6

46

4.5

0.666667

0.444444

0

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46

5

26

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1

0

null

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1

0

5

f920bb4f02f694adcd18c42cae5c7b8f8131802e

24

py

Python

Counting/__init__.py

Kthyeon/micronet_neurips_challenge

9f71fb752e8fbd5abca07be530f7fb19e164125c

[ "MIT" ]

19

2019-11-27T07:18:35.000Z

2021-08-20T14:16:17.000Z

Counting/__init__.py

3outeille/KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution

9f71fb752e8fbd5abca07be530f7fb19e164125c

[ "MIT" ]

null

Counting/__init__.py

3outeille/KAIST-AI-NeurIPS2019-MicroNet-2nd-place-solution

9f71fb752e8fbd5abca07be530f7fb19e164125c

[ "MIT" ]

6

2019-12-18T02:09:54.000Z

2021-06-21T11:34:36.000Z

from .count import count

24

0.833333

4

24

5

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0.125

24

1

24

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0

true

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null

0

1

0

null

0

1

0

1

0

5

009b4cb40614c096d8704ba5aa66e4f8007bc605

23,374

py

Python

struct2tensor/expression_impl/promote_test.py

jay90099/struct2tensor

47d651757efa27586bf75f991b2174d8173a750b

[ "Apache-2.0" ]

30

2019-10-07T21:31:44.000Z

2022-03-30T17:11:44.000Z

struct2tensor/expression_impl/promote_test.py

jay90099/struct2tensor

47d651757efa27586bf75f991b2174d8173a750b

[ "Apache-2.0" ]

2

2020-03-23T20:48:14.000Z

2021-04-16T15:05:33.000Z

struct2tensor/expression_impl/promote_test.py

jay90099/struct2tensor

47d651757efa27586bf75f991b2174d8173a750b

[ "Apache-2.0" ]

30

2019-07-16T13:01:53.000Z

2022-03-01T22:04:36.000Z

# Copyright 2019 Google LLC # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. """Tests for struct2tensor.promote.""" from struct2tensor import create_expression from struct2tensor import path from struct2tensor.expression_impl import promote from struct2tensor.test import expression_test_util from struct2tensor.test import prensor_test_util import tensorflow as tf from absl.testing import absltest from tensorflow.python.framework import test_util # pylint: disable=g-direct-tensorflow-import from tensorflow_metadata.proto.v0 import schema_pb2 class PromoteTest(absltest.TestCase): def assertLen(self, arr, expected_len): self.assertEqual(len(arr), expected_len) # pylint:disable=g-generic-assert def test_promote_anonymous(self): expr = create_expression.create_expression_from_prensor( prensor_test_util.create_nested_prensor()) new_root, new_field = promote.promote_anonymous( expr, path.Path(["user", "friends"])) new_field = new_root.get_descendant_or_error(new_field) self.assertTrue(new_field.is_repeated) self.assertEqual(new_field.type, tf.string) self.assertTrue(new_field.is_leaf) self.assertFalse(new_field.calculation_is_identity()) self.assertTrue(new_field.calculation_equal(new_field)) self.assertFalse(new_field.calculation_equal(expr)) leaf_node = expression_test_util.calculate_value_slowly(new_field) self.assertEqual(leaf_node.values.dtype, tf.string) self.assertEqual(new_field.known_field_names(), frozenset()) sources = new_field.get_source_expressions() self.assertLen(sources, 2) self.assertIs( expr.get_descendant_or_error(path.Path(["user", "friends"])), sources[0]) self.assertIs(expr.get_child_or_error("user"), sources[1]) def test_promote_with_schema(self): expr = create_expression.create_expression_from_prensor( prensor_test_util.create_big_prensor()).apply_schema( prensor_test_util.create_big_prensor_schema()) new_root, new_field = promote.promote_anonymous( expr, path.Path(["user", "friends"])) new_field = new_root.get_descendant_or_error(new_field) new_schema_feature = new_field.schema_feature self.assertIsNotNone(new_schema_feature) self.assertEqual(new_schema_feature.string_domain.value[0], "a") def test_promote_with_schema_dense_parent(self): s = prensor_test_util.create_big_prensor_schema() feature_dict = {feature.name: feature for feature in s.feature} user_feature = feature_dict["user"] user_feature.value_count.min = 3 user_feature.value_count.max = 3 user_feature.presence.min_fraction = 1 user_feature.lifecycle_stage = schema_pb2.LifecycleStage.ALPHA user_dict = { feature.name: feature for feature in user_feature.struct_domain.feature } friends_feature = user_dict["friends"] friends_feature.value_count.min = 2 friends_feature.value_count.max = 2 friends_feature.presence.min_fraction = 1 friends_feature.presence.min_count = 10 friends_feature.lifecycle_stage = schema_pb2.LifecycleStage.BETA friends_feature.distribution_constraints.min_domain_mass = 0.5 expr = create_expression.create_expression_from_prensor( prensor_test_util.create_big_prensor()).apply_schema(s) new_root, new_field = promote.promote_anonymous( expr, path.Path(["user", "friends"])) new_field = new_root.get_descendant_or_error(new_field) new_schema_feature = new_field.schema_feature self.assertIsNotNone(new_schema_feature) self.assertEqual(new_schema_feature.string_domain.value[0], "a") self.assertEqual(new_schema_feature.value_count.max, 6) self.assertEqual(new_schema_feature.value_count.min, 6) self.assertEqual(new_schema_feature.presence.min_fraction, 1) self.assertEqual(new_schema_feature.presence.min_count, 3) self.assertEqual(new_schema_feature.lifecycle_stage, schema_pb2.LifecycleStage.ALPHA) self.assertEqual( new_schema_feature.distribution_constraints.min_domain_mass, 0.5) def test_lifecycle_stage(self): # Stages have the following priority, from lowest to highest: # schema_pb2.LifecycleStage.DEPRECATED # schema_pb2.LifecycleStage.DISABLED # schema_pb2.LifecycleStage.PLANNED, # schema_pb2.LifecycleStage.ALPHA # schema_pb2.LifecycleStage.DEBUG_ONLY, # None # schema_pb2.LifecycleStage.UNKNOWN_STAGE, # schema_pb2.LifecycleStage.BETA # schema_pb2.LifecycleStage.PRODUCTION def _check_lifecycle_stage(a, b): s = prensor_test_util.create_big_prensor_schema() feature_dict = {feature.name: feature for feature in s.feature} user_feature = feature_dict["user"] if a is not None: user_feature.lifecycle_stage = a user_dict = { feature.name: feature for feature in user_feature.struct_domain.feature } friends_feature = user_dict["friends"] if b is not None: friends_feature.lifecycle_stage = b expr = create_expression.create_expression_from_prensor( prensor_test_util.create_big_prensor()).apply_schema(s) new_root, new_field = promote.promote_anonymous( expr, path.Path(["user", "friends"])) new_field = new_root.get_descendant_or_error(new_field) return new_field.schema_feature.lifecycle_stage self.assertEqual( schema_pb2.LifecycleStage.DEPRECATED, _check_lifecycle_stage(schema_pb2.LifecycleStage.DEPRECATED, schema_pb2.LifecycleStage.DISABLED)) self.assertEqual( schema_pb2.LifecycleStage.DEPRECATED, _check_lifecycle_stage(schema_pb2.LifecycleStage.DISABLED, schema_pb2.LifecycleStage.DEPRECATED)) self.assertEqual( schema_pb2.LifecycleStage.DISABLED, _check_lifecycle_stage(schema_pb2.LifecycleStage.PLANNED, schema_pb2.LifecycleStage.DISABLED)) self.assertEqual( schema_pb2.LifecycleStage.DEPRECATED, _check_lifecycle_stage(schema_pb2.LifecycleStage.PLANNED, schema_pb2.LifecycleStage.DEPRECATED)) self.assertEqual( schema_pb2.LifecycleStage.PLANNED, _check_lifecycle_stage(schema_pb2.LifecycleStage.PLANNED, schema_pb2.LifecycleStage.ALPHA)) self.assertEqual( schema_pb2.LifecycleStage.PLANNED, _check_lifecycle_stage(schema_pb2.LifecycleStage.ALPHA, schema_pb2.LifecycleStage.PLANNED)) self.assertEqual( schema_pb2.LifecycleStage.ALPHA, _check_lifecycle_stage(schema_pb2.LifecycleStage.DEBUG_ONLY, schema_pb2.LifecycleStage.ALPHA)) self.assertEqual( schema_pb2.LifecycleStage.ALPHA, _check_lifecycle_stage(schema_pb2.LifecycleStage.ALPHA, schema_pb2.LifecycleStage.DEBUG_ONLY)) self.assertEqual( schema_pb2.LifecycleStage.DEBUG_ONLY, _check_lifecycle_stage(schema_pb2.LifecycleStage.DEBUG_ONLY, None)) self.assertEqual( schema_pb2.LifecycleStage.DEBUG_ONLY, _check_lifecycle_stage(None, schema_pb2.LifecycleStage.DEBUG_ONLY)) # None looks like UNKNOWN_STAGE. self.assertEqual( schema_pb2.LifecycleStage.UNKNOWN_STAGE, _check_lifecycle_stage(None, schema_pb2.LifecycleStage.UNKNOWN_STAGE)) self.assertEqual( schema_pb2.LifecycleStage.UNKNOWN_STAGE, _check_lifecycle_stage(schema_pb2.LifecycleStage.UNKNOWN_STAGE, None)) self.assertEqual( schema_pb2.LifecycleStage.UNKNOWN_STAGE, _check_lifecycle_stage(schema_pb2.LifecycleStage.BETA, schema_pb2.LifecycleStage.UNKNOWN_STAGE)) self.assertEqual( schema_pb2.LifecycleStage.UNKNOWN_STAGE, _check_lifecycle_stage(schema_pb2.LifecycleStage.UNKNOWN_STAGE, schema_pb2.LifecycleStage.BETA)) self.assertEqual( schema_pb2.LifecycleStage.BETA, _check_lifecycle_stage(schema_pb2.LifecycleStage.BETA, schema_pb2.LifecycleStage.PRODUCTION)) self.assertEqual( schema_pb2.LifecycleStage.BETA, _check_lifecycle_stage(schema_pb2.LifecycleStage.PRODUCTION, schema_pb2.LifecycleStage.BETA)) def test_promote_with_schema_dense_fraction(self): """Test when min_fraction is not 1.""" s = prensor_test_util.create_big_prensor_schema() feature_dict = {feature.name: feature for feature in s.feature} user_feature = feature_dict["user"] user_feature.value_count.min = 3 user_feature.value_count.max = 3 user_feature.presence.min_fraction = 1 user_dict = { feature.name: feature for feature in user_feature.struct_domain.feature } friends_feature = user_dict["friends"] friends_feature.presence.min_fraction = 0.9 expr = create_expression.create_expression_from_prensor( prensor_test_util.create_big_prensor()).apply_schema(s) new_root, new_field = promote.promote_anonymous( expr, path.Path(["user", "friends"])) new_field = new_root.get_descendant_or_error(new_field) new_schema_feature = new_field.schema_feature self.assertIsNotNone(new_schema_feature) self.assertEqual(new_schema_feature.presence.min_fraction, 0.3) def test_promote_optional_child_of_repeated(self): expr = create_expression.create_expression_from_prensor( prensor_test_util.create_nested_prensor()) new_root, new_field = promote.promote_anonymous( expr, path.Path(["doc", "keep_me"])) new_expr = new_root.get_descendant_or_error(new_field) self.assertTrue(new_expr.is_repeated) def test_promote(self): """Tests promote.promote(...), and indirectly tests set_path.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_nested_prensor()) new_root = promote.promote(expr, path.Path(["user", "friends"]), "new_field") new_field = new_root.get_child_or_error("new_field") self.assertIsNotNone(new_field) self.assertTrue(new_field.is_repeated) self.assertEqual(new_field.type, tf.string) self.assertTrue(new_field.is_leaf) leaf_node = expression_test_util.calculate_value_slowly(new_field) self.assertEqual(leaf_node.values.dtype, tf.string) self.assertEqual(new_field.known_field_names(), frozenset()) def test_promote_substructure(self): """Tests promote.promote(...) of substructure.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_deep_prensor()) new_root = promote.promote(expr, path.Path(["event", "doc"]), "new_field") new_field = new_root.get_child_or_error("new_field") self.assertIsNotNone(new_field) self.assertTrue(new_field.is_repeated) self.assertEqual(new_field.known_field_names(), frozenset(["bar", "keep_me"])) bar_expr = new_field.get_child_or_error("bar") self.assertIsNotNone(bar_expr) self.assertTrue(bar_expr.is_repeated) self.assertEqual(bar_expr.type, tf.string) self.assertTrue(bar_expr.is_leaf) keep_me_expr = new_field.get_child_or_error("keep_me") self.assertIsNotNone(keep_me_expr) self.assertFalse(keep_me_expr.is_repeated) self.assertEqual(keep_me_expr.type, tf.bool) self.assertTrue(keep_me_expr.is_leaf) child_node = expression_test_util.calculate_value_slowly(new_field) self.assertEqual(child_node.size, 3) self.assertTrue(child_node.is_repeated) bar_node = expression_test_util.calculate_value_slowly(bar_expr) self.assertEqual(bar_node.values.dtype, tf.string) keep_me_node = expression_test_util.calculate_value_slowly(keep_me_expr) self.assertEqual(keep_me_node.values.dtype, tf.bool) def test_promote_substructure_then_leaf(self): """Tests expr.promote(...) of substructure and then a leaf.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_deep_prensor()) new_root = (expr .promote(path.Path(["event", "doc"]), "new_field") .promote(path.Path(["new_field", "bar"]), "new_bar")) new_bar = new_root.get_child_or_error("new_bar") self.assertIsNotNone(new_bar) self.assertTrue(new_bar.is_repeated) self.assertEqual(new_bar.type, tf.string) self.assertTrue(new_bar.is_leaf) new_field_bar = new_root.get_descendant_or_error( path.Path(["new_field", "bar"])) self.assertIsNotNone(new_field_bar) self.assertTrue(new_bar.is_repeated) self.assertEqual(new_bar.type, tf.string) self.assertTrue(new_bar.is_leaf) new_field_keep_me = new_root.get_descendant_or_error( path.Path(["new_field", "keep_me"])) self.assertIsNotNone(new_field_keep_me) self.assertFalse(new_field_keep_me.is_repeated) self.assertEqual(new_field_keep_me.type, tf.bool) self.assertTrue(new_field_keep_me.is_leaf) bar_node = expression_test_util.calculate_value_slowly(new_bar) self.assertEqual(bar_node.values.dtype, tf.string) new_field_bar_node = expression_test_util.calculate_value_slowly( new_field_bar) self.assertEqual(new_field_bar_node.values.dtype, tf.string) new_field_keep_me_node = expression_test_util.calculate_value_slowly( new_field_keep_me) self.assertEqual(new_field_keep_me_node.values.dtype, tf.bool) def test_promote_leaf_then_substructure(self): """Tests expr.promote(...) of leaf and then a substructure.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_four_layer_prensor()) new_root = ( expr .promote(path.Path(["event", "doc", "nested_child", "bar"]), "new_bar") .promote(path.Path(["event", "doc"]), "new_doc")) new_doc = new_root.get_child_or_error("new_doc") self.assertIsNotNone(new_doc) self.assertTrue(new_doc.is_repeated) self.assertEqual(new_doc.known_field_names(), frozenset(["nested_child", "new_bar"])) new_bar_expr = new_doc.get_child_or_error("new_bar") self.assertIsNotNone(new_bar_expr) self.assertTrue(new_bar_expr.is_repeated) self.assertEqual(new_bar_expr.type, tf.string) self.assertTrue(new_bar_expr.is_leaf) nested_child_expr = new_doc.get_child_or_error("nested_child") self.assertIsNotNone(nested_child_expr) self.assertTrue(nested_child_expr.is_repeated) self.assertEqual(nested_child_expr.known_field_names(), frozenset(["bar", "keep_me"])) bar_expr = nested_child_expr.get_child_or_error("bar") self.assertIsNotNone(bar_expr) self.assertTrue(bar_expr.is_repeated) self.assertEqual(bar_expr.type, tf.string) self.assertTrue(bar_expr.is_leaf) keep_me_expr = nested_child_expr.get_child_or_error("keep_me") self.assertIsNotNone(keep_me_expr) self.assertFalse(keep_me_expr.is_repeated) self.assertEqual(keep_me_expr.type, tf.bool) self.assertTrue(keep_me_expr.is_leaf) bar_node = expression_test_util.calculate_value_slowly(new_bar_expr) self.assertEqual(bar_node.values.dtype, tf.string) @test_util.run_all_in_graph_and_eager_modes class PromoteValuesTest(tf.test.TestCase): def test_promote_and_calculate(self): """Tests promoting a leaf on a nested tree.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_nested_prensor()) new_root, new_path = promote.promote_anonymous( expr, path.Path(["user", "friends"])) new_field = new_root.get_descendant_or_error(new_path) leaf_node = expression_test_util.calculate_value_slowly(new_field) self.assertAllEqual(leaf_node.parent_index, [0, 1, 1, 1, 2]) self.assertAllEqual(leaf_node.values, [b"a", b"b", b"c", b"d", b"e"]) def test_promote_and_calculate_substructure(self): """Tests promoting substructure on a tree with depth of 4.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_four_layer_prensor()) new_root, new_path = promote.promote_anonymous( expr, path.Path(["event", "doc", "nested_child"])) new_nested_child = new_root.get_descendant_or_error(new_path) bar_expr = new_root.get_descendant_or_error(new_path.get_child("bar")) keep_me_expr = new_root.get_descendant_or_error( new_path.get_child("keep_me")) # the promoted nested_child's parent index is changed. nested_child_node = expression_test_util.calculate_value_slowly( new_nested_child) self.assertAllEqual(nested_child_node.parent_index, [0, 1, 1, 1]) self.assertTrue(nested_child_node.is_repeated) # bar's parent index should be unchanged. bar_node = expression_test_util.calculate_value_slowly(bar_expr) self.assertAllEqual(bar_node.parent_index, [0, 1, 1, 2]) self.assertAllEqual(bar_node.values, [b"a", b"b", b"c", b"d"]) self.assertTrue(bar_node.is_repeated) # keep_me's parent index should be unchanged. keep_me_node = expression_test_util.calculate_value_slowly(keep_me_expr) self.assertAllEqual(keep_me_node.parent_index, [0, 1]) self.assertAllEqual(keep_me_node.values, [False, True]) self.assertFalse(keep_me_node.is_repeated) def test_promote_and_calculate_substructure_then_leaf(self): """Tests promoting of substructure and then a leaf.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_four_layer_prensor()) new_root, new_nested_child_path = promote.promote_anonymous( expr, path.Path(["event", "doc", "nested_child"])) new_root, new_bar_path = promote.promote_anonymous( new_root, new_nested_child_path.get_child("bar")) # the promoted nested_child's parent index is changed. new_nested_child = new_root.get_descendant_or_error(new_nested_child_path) nested_child_node = expression_test_util.calculate_value_slowly( new_nested_child) self.assertAllEqual(nested_child_node.parent_index, [0, 1, 1, 1]) self.assertTrue(nested_child_node.is_repeated) # promoted bar's parent index is changed. new_bar = new_root.get_descendant_or_error(new_bar_path) bar_node = expression_test_util.calculate_value_slowly(new_bar) self.assertAllEqual(bar_node.parent_index, [0, 1, 1, 1]) self.assertAllEqual(bar_node.values, [b"a", b"b", b"c", b"d"]) self.assertTrue(bar_node.is_repeated) # bar's parent index should be unchanged. nested_child_bar = new_root.get_descendant_or_error( new_nested_child_path.get_child("bar")) nested_child_bar_node = expression_test_util.calculate_value_slowly( nested_child_bar) self.assertAllEqual(nested_child_bar_node.parent_index, [0, 1, 1, 2]) self.assertAllEqual(nested_child_bar_node.values, [b"a", b"b", b"c", b"d"]) self.assertTrue(nested_child_bar_node.is_repeated) # keep_me's parent index should be unchanged. nested_child_keep_me = new_root.get_descendant_or_error( new_nested_child_path.get_child("keep_me")) nested_child_keep_me_node = expression_test_util.calculate_value_slowly( nested_child_keep_me) self.assertAllEqual(nested_child_keep_me_node.parent_index, [0, 1]) self.assertAllEqual(nested_child_keep_me_node.values, [False, True]) self.assertFalse(nested_child_keep_me_node.is_repeated) def test_promote_and_calculate_leaf_then_substructure(self): """Tests promoting of leaf and then a substructure.""" expr = create_expression.create_expression_from_prensor( prensor_test_util.create_four_layer_prensor()) new_root, new_bar_path = promote.promote_anonymous( expr, path.Path(["event", "doc", "nested_child", "bar"])) new_root, new_path = promote.promote_anonymous(new_root, path.Path(["event", "doc"])) new_doc = new_root.get_descendant_or_error(new_path) new_bar = new_root.get_descendant_or_error( new_path.concat(new_bar_path.suffix(2))) bar_expr = new_root.get_descendant_or_error( new_path.concat(path.Path(["nested_child", "bar"]))) keep_me_expr = new_root.get_descendant_or_error( new_path.concat(path.Path(["nested_child", "keep_me"]))) new_doc_node = expression_test_util.calculate_value_slowly(new_doc) self.assertAllEqual(new_doc_node.parent_index, [0, 1, 1]) self.assertTrue(new_doc_node.is_repeated) # new_bar's parent index is changed (from the first promote). # The second promote should not change new_bar's parent index. new_bar_node = expression_test_util.calculate_value_slowly(new_bar) self.assertAllEqual(new_bar_node.parent_index, [0, 1, 1, 1]) self.assertAllEqual(new_bar_node.values, [b"a", b"b", b"c", b"d"]) self.assertTrue(new_bar_node.is_repeated) # bar's parent index should be unchanged. bar_node = expression_test_util.calculate_value_slowly(bar_expr) self.assertAllEqual(bar_node.parent_index, [0, 1, 1, 2]) self.assertAllEqual(bar_node.values, [b"a", b"b", b"c", b"d"]) self.assertTrue(bar_node.is_repeated) # keep_me's parent index should be unchanged. keep_me_node = expression_test_util.calculate_value_slowly(keep_me_expr) self.assertAllEqual(keep_me_node.parent_index, [0, 1]) self.assertAllEqual(keep_me_node.values, [False, True]) self.assertFalse(keep_me_node.is_repeated) def test_promote_substructure_with_schema(self): expr = create_expression.create_expression_from_prensor( prensor_test_util.create_deep_prensor()).apply_schema( prensor_test_util.create_deep_prensor_schema()) original_schema = expr.get_descendant_or_error(path.Path(["event", "doc" ])).schema_feature new_root, new_field_path = promote.promote_anonymous( expr, path.Path(["event", "doc"])) new_field = new_root.get_descendant_or_error(new_field_path) new_schema_feature = new_field.schema_feature self.assertIsNotNone(new_schema_feature) # The struct_domain of this feature should not be changed. self.assertProtoEquals(new_schema_feature.struct_domain, original_schema.struct_domain) bar_schema = new_root.get_descendant_or_error( new_field_path.concat(path.Path(["bar"]))).schema_feature self.assertIsNotNone(bar_schema) self.assertEqual(bar_schema.string_domain.value[0], "a") keep_me_schema = new_root.get_descendant_or_error( new_field_path.concat(path.Path(["keep_me"]))).schema_feature self.assertIsNotNone(keep_me_schema) self.assertEqual(keep_me_schema.presence.min_count, 1) if __name__ == "__main__": absltest.main()

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null

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5

009d821be899514c984e0db4c4c1786ebc36fbf0

181

py

Python

Python/05. Math/01. Polar Coordinates/Solution.py

AdityaSingh17/HackerRank-Solutions

65b7fcd6e82be242fcc7e5b1771941206a8b7940

[ "MIT" ]

null

Python/05. Math/01. Polar Coordinates/Solution.py

AdityaSingh17/HackerRank-Solutions

65b7fcd6e82be242fcc7e5b1771941206a8b7940

[ "MIT" ]

null

Python/05. Math/01. Polar Coordinates/Solution.py

AdityaSingh17/HackerRank-Solutions

65b7fcd6e82be242fcc7e5b1771941206a8b7940

[ "MIT" ]

null

# Polar Coordinates # Problem Link: https://www.hackerrank.com/challenges/polar-coordinates/problem import cmath s = input() print(abs(complex(s))) print(cmath.phase(complex(s)))

20.111111

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null

0

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5

00a1dc3a5ffffd78e6b379a65c502a3d2b1a62c2

201

py

Python

apps/base/views/other_views.py

picsldev/pyerp

e998e3e99a4e45033d54a6b1df50697f7288f67f

[ "MIT" ]

null

apps/base/views/other_views.py

picsldev/pyerp

e998e3e99a4e45033d54a6b1df50697f7288f67f

[ "MIT" ]

null

apps/base/views/other_views.py

picsldev/pyerp

e998e3e99a4e45033d54a6b1df50697f7288f67f

[ "MIT" ]

null

# Librerias Future from __future__ import unicode_literals # Librerias Django from django.shortcuts import HttpResponse, render def IndexEasy(request): return render(request, 'base/index.html')

20.1

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0.79602

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201

6.458333

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null

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1

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5

00a26e3a81a14ddf4bc1c40362accf8ff2c43b65

137

py

Python

qe_tools/parsers/__init__.py

asle85/qe-tools

359579ee4a88fb6920270de39f49524e9365fda2

[ "MIT" ]

17

2017-11-29T01:59:59.000Z

2022-03-03T18:57:21.000Z

qe_tools/parsers/__init__.py

asle85/qe-tools

359579ee4a88fb6920270de39f49524e9365fda2

[ "MIT" ]

36

2017-11-16T11:29:54.000Z

2021-03-12T15:07:39.000Z

qe_tools/parsers/__init__.py

asle85/qe-tools

359579ee4a88fb6920270de39f49524e9365fda2

[ "MIT" ]

7

2017-11-25T09:30:50.000Z

2021-03-08T14:15:09.000Z

# -*- coding: utf-8 -*- from ._pw_input import PwInputFile from ._cp_input import CpInputFile __all__ = ('PwInputFile', 'CpInputFile')

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null

0

1

0

1

0

5

00e64a3c24b020a9314db678230d35e6d0736363

151

py

Python

BetterCanvas/__init__.py

Podk88/BetterCanvas

0d61c6a0323e590aa77ead0b0a33493116866605

[ "MIT" ]

null

BetterCanvas/__init__.py

Podk88/BetterCanvas

0d61c6a0323e590aa77ead0b0a33493116866605

[ "MIT" ]

null

BetterCanvas/__init__.py

Podk88/BetterCanvas

0d61c6a0323e590aa77ead0b0a33493116866605

[ "MIT" ]

null

from .bettercanvas import BetterCanvas from .items import (Arc, Bitmap, Image, Item, Line, Oval, Polygon, Rectangle, Text, Window)

37.75

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1

0

1

0

1

0

5

daa642f1607b25043a962c53d482702208bc07a4

43

py

Python

setup-database.py

TheBrokenEstate/dbcoursework

0016f820ca8b0ea862e929337d8f7ad0fbfcf863

[ "MIT" ]

null

setup-database.py

TheBrokenEstate/dbcoursework

0016f820ca8b0ea862e929337d8f7ad0fbfcf863

[ "MIT" ]

null

setup-database.py

TheBrokenEstate/dbcoursework

0016f820ca8b0ea862e929337d8f7ad0fbfcf863

[ "MIT" ]

null

from projectCode import db db.create_all()

14.333333

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7

43

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0.857143

0

0.116279

43

2

27

21.5

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null

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null

0

1

0

1

0

5

dab6faf19efdff0c5cad267382dffd28873da216

625

py

Python

src/mathlib.py

nhrade/Ispy

5e014d8493c04a30a978d03f4b5943e349e6db1f

[ "WTFPL" ]

null

src/mathlib.py

nhrade/Ispy

5e014d8493c04a30a978d03f4b5943e349e6db1f

[ "WTFPL" ]

null

src/mathlib.py

nhrade/Ispy

5e014d8493c04a30a978d03f4b5943e349e6db1f

[ "WTFPL" ]

null

''' Created on Jul 18, 2013 @author: noah ''' import math import main as m def pi(args): return math.pi def sqrt_(args): return math.sqrt(m.eval_(args[0])) def sq(args): return m.eval_(args[0])**2 def abs_(args): return abs(m.eval_(args[0])) def even(args): return m.eval_(args[0]) % 2 == 0 def odd(args): return m.eval_(args[0]) % 2 != 0 def is_prime(args): for i in range(2, m.eval_(args[0])): if m.eval_(args[0]) % i == 0: return False return True

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null

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5

daf0804763d4422976cfddfa4a587c8beb04cd34

12,369

py

Python

tecmov-cartopy.py

mrinalghosh/gpstec

db6747844641a994d78740140da2138f71b75725

[ "MIT" ]

1

2020-12-09T05:39:26.000Z

tecmov-cartopy.py

mrinalghosh/gpstec

db6747844641a994d78740140da2138f71b75725

[ "MIT" ]

null

tecmov-cartopy.py

mrinalghosh/gpstec

db6747844641a994d78740140da2138f71b75725

[ "MIT" ]

null

#!/usr/bin/env python # Cartopy implementation of TEC plotting in polar coordinates # author: @mrinalghosh import matplotlib.pyplot as plt import matplotlib.path as mpath import numpy as np import cartopy.feature as cfeature import cartopy.crs as ccrs import h5py from argparse import ArgumentParser from datetime import datetime import os from glob import glob from sys import platform months = {1: 'jan', 2: 'feb', 3: 'mar', 4: 'apr', 5: 'may', 6: 'jun', 7: 'jul', 8: 'aug', 9: 'sep', 10: 'oct', 11: 'nov', 12: 'dec'} projections = {'plate': [ccrs.PlateCarree(), 'Plate Carree'], 'near': [ccrs.NearsidePerspective(), 'Nearside Perspective'], 'polar': [ccrs.NorthPolarStereo(), 'Polar Stereo'], 'mercator': [ccrs.Mercator(), 'Mercator'], 'geostat': [ccrs.Geostationary(), 'Geostationary']} cmaps = plt.colormaps() def save(root: str = None, n: int = None, overlap: bool = False, slide: str = None, proj: str = None, lim: float = None, cmap: str = None): f = h5py.File(root, 'r') lat = f['GPSTEC']['lat'] lon = f['GPSTEC']['lon'] t = f['GPSTEC']['time'] if cmap not in cmaps: cmap = 'gist_ncar' if slide is not None: slide = int(slide) if slide+n-1 <= len(t): im = np.nanmean(f['GPSTEC']['im'][0:][0:][slide:slide+n+1], axis=0) im = np.transpose(im) time = datetime.fromtimestamp(t[slide]) # scale cmap cmax = np.max(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800)))) cmin = np.min(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800)))) minoff = 0 # offset maxoff = 0 if proj == 'polar': fig = plt.figure() theta = np.linspace(0, 2 * np.pi, 100) center, radius = [0.5, 0.5], 0.5 verts = np.vstack([np.sin(theta), np.cos(theta)]).T circle = mpath.Path(verts * radius + center) ax1 = plt.subplot(1, 2, 1, projection=ccrs.SouthPolarStereo()) ax1.set_extent([-180, 180, -90, 0], ccrs.PlateCarree()) ax1.title.set_text('South Polar Stereographic') ax1.add_feature(cfeature.OCEAN, zorder=1) ax1.add_feature(cfeature.LAKES, zorder=1) ax1.add_feature(cfeature.RIVERS, zorder=1) ax1.add_feature(cfeature.LAND, zorder=1) ax1.add_feature(cfeature.BORDERS, zorder=3) ax1.add_feature(cfeature.COASTLINE, zorder=3) ax1.gridlines() ax1.set_boundary(circle, transform=ax1.transAxes) im1 = ax1.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin + minoff, vmax=cmax - maxoff, cmap=cmap, zorder=2) ax2 = plt.subplot(1, 2, 2, projection=ccrs.NorthPolarStereo()) ax2.set_extent([-180, 180, 90, 0], ccrs.PlateCarree()) ax2.title.set_text('North Polar Stereographic') ax2.add_feature(cfeature.OCEAN, zorder=1) ax2.add_feature(cfeature.LAKES, zorder=1) ax2.add_feature(cfeature.RIVERS, zorder=1) ax2.add_feature(cfeature.LAND, zorder=1) ax2.add_feature(cfeature.BORDERS, zorder=3) ax2.add_feature(cfeature.COASTLINE, zorder=3) ax2.gridlines() ax2.set_boundary(circle, transform=ax2.transAxes) im2 = ax2.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin + minoff, vmax=cmax - maxoff, cmap=cmap, zorder=2) fig.subplots_adjust(right=0.8) cbar_ax = fig.add_axes([0.85, 0.15, 0.02, 0.7]) fig.colorbar(im2, cax=cbar_ax, label='Total Electron Concentration [TECu]') elif proj is not 'polar': fig = plt.figure('TEC ({})'.format(datetime.fromtimestamp(t[slide]))) ax = plt.subplot(1, 1, 1, projection=projections[proj][0]) ax.title.set_text(projections[proj][1]) ax.add_feature(cfeature.OCEAN, zorder=1) ax.add_feature(cfeature.LAKES, zorder=1) ax.add_feature(cfeature.RIVERS, zorder=1) ax.add_feature(cfeature.LAND, zorder=1) ax.add_feature(cfeature.BORDERS, zorder=3) ax.add_feature(cfeature.COASTLINE, zorder=3) ax.gridlines() imcm = ax.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin + minoff, vmax=cmax - maxoff, cmap=cmap, zorder=2) cb = fig.colorbar(imcm, shrink=0.5) cb.set_label('Total Electron Content [TECu]') print('Saving slide {}'.format(slide)) if platform == 'win32': os.mkdir(os.path.split(root)[0] + '\\{}{}'.format(months[time.month], time.day)) elif platform in ['linux', 'linux2']: os.mkdir(os.path.split(root)[0] + '/{}{}'.format(months[time.month], time.day)) folder = os.path.join(os.path.split(root)[0], '{}{}'.format(months[time.month], time.day)) print(folder) # plt.savefig(os.path.join(folder, '{}.png'.format(slide))) figsav = plt.gcf() figsav.suptitle('{}'.format(time)) figsav.set_size_inches((10, 5), forward=False) figsav.savefig(os.path.join(folder, '{}.png'.format(str(slide).zfill(3))), dpi=200) plt.close(fig) plt.close(figsav) else: t0 = datetime.fromtimestamp(t[0]) if platform == 'win32': os.mkdir(os.path.split(root)[0] + '\\{}{}'.format(months[t0.month], t0.day)) elif platform in ['linux', 'linux2']: os.mkdir(os.path.split(root)[0] + '/{}{}'.format(months[t0.month], t0.day)) folder = os.path.join(os.path.split(root)[0], '{}{}'.format(months[t0.month], t0.day)) if proj == 'polar': theta = np.linspace(0, 2 * np.pi, 100) center, radius = [0.5, 0.5], 0.5 verts = np.vstack([np.sin(theta), np.cos(theta)]).T circle = mpath.Path(verts * radius + center) if not overlap: slides = list(map(lambda x: x*n, list(range(int(len(t)/n)-1)))) else: slides = list(range(len(t)-n+1)) for slide in slides: time = datetime.fromtimestamp(t[slide]) if lim is not 0: cmax = lim cmin = 0.0 else: cmax = np.max(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800)))) cmin = np.min(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800)))) fig = plt.figure() im = np.nanmean(f['GPSTEC']['im'][0:][0:][slide:slide+n+1], axis=0) im = np.transpose(im) ax1 = plt.subplot(1, 2, 1, projection=ccrs.SouthPolarStereo()) ax1.set_extent([-180, 180, -90, 0], ccrs.PlateCarree()) ax1.title.set_text('South Polar Stereographic') ax1.add_feature(cfeature.OCEAN, zorder=1) ax1.add_feature(cfeature.LAKES, zorder=1) ax1.add_feature(cfeature.RIVERS, zorder=1) ax1.add_feature(cfeature.LAND, zorder=1) ax1.add_feature(cfeature.BORDERS, zorder=3) ax1.add_feature(cfeature.COASTLINE, zorder=3) ax1.gridlines() ax1.set_boundary(circle, transform=ax1.transAxes) ax1.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin, vmax=cmax, cmap=cmap, zorder=2) ax2 = plt.subplot(1, 2, 2, projection=ccrs.NorthPolarStereo()) ax2.set_extent([-180, 180, 90, 0], ccrs.PlateCarree()) ax2.title.set_text('North Polar Stereographic') ax2.add_feature(cfeature.OCEAN, zorder=1) ax2.add_feature(cfeature.LAKES, zorder=1) ax2.add_feature(cfeature.RIVERS, zorder=1) ax2.add_feature(cfeature.LAND, zorder=1) ax2.add_feature(cfeature.BORDERS, zorder=3) ax2.add_feature(cfeature.COASTLINE, zorder=3) ax2.gridlines() ax2.set_boundary(circle, transform=ax2.transAxes) imcm = ax2.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin, vmax=cmax, cmap=cmap, zorder=2) fig.subplots_adjust(right=0.8) cbar_ax = fig.add_axes([0.85, 0.15, 0.02, 0.7]) fig.colorbar(imcm, cax=cbar_ax, label='Total Electron Concentration [TECu]') print('Saving slide {}/{}...'.format(slide+1, len(t))) figsav = plt.gcf() figsav.suptitle('{}'.format(time)) figsav.set_size_inches((10, 5), forward=False) figsav.savefig(os.path.join(folder, '{}.png'.format(str(slide).zfill(3))), dpi=200) plt.close(fig) plt.close(figsav) print(folder) else: if not overlap: slides = list(map(lambda x: x*n, list(range(int(len(t)/n)-1)))) else: slides = list(range(len(t)-n+1)) for slide in slides: fig = plt.figure() im = np.nanmean(f['GPSTEC']['im'][0:][0:][slide:slide+n+1], axis=0) im = np.transpose(im) if lim is not 0: cmax = lim cmin = 0.0 else: cmax = np.max(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800)))) cmin = np.min(list(filter(lambda x: ~np.isnan(x), np.reshape(im, 64800)))) ax = plt.subplot(1, 1, 1, projection=projections[proj][0]) ax.title.set_text(projections[proj][1]) ax.add_feature(cfeature.OCEAN, zorder=1) ax.add_feature(cfeature.LAKES, zorder=1) ax.add_feature(cfeature.RIVERS, zorder=1) ax.add_feature(cfeature.LAND, zorder=1) ax.add_feature(cfeature.BORDERS, zorder=3) ax.add_feature(cfeature.COASTLINE, zorder=3) ax.gridlines() im = ax.pcolormesh(lon, lat, im, transform=ccrs.PlateCarree(), vmin=cmin, vmax=cmax, cmap=cmap, zorder=2) cb = fig.colorbar(im, shrink=0.5) cb.set_label('Total Electron Content [TECu]') # fig.tight_layout() print('Saving slide {}/{}...'.format(slide+1, len(t))) # plt.savefig(os.path.join(folder, '{}.png'.format(slide))) figsav = plt.gcf() figsav.set_size_inches((10, 5), forward=False) figsav.savefig(os.path.join(folder, '{}.png'.format(slide)), dpi=200) plt.close(fig) plt.close(figsav) print(folder) if __name__ == '__main__': p = ArgumentParser() p.add_argument('root', type=str, help='local address') p.add_argument('-n', '--naverage', type=int, help='number of slides to include in average', default=1) p.add_argument('--overlap', help='allow overlap of slides', action='store_true') p.add_argument('-s', '--slide', type=str, help='slide number [0,239]') # p.add_argument('-o', '--odir', type=str, help='directory to save images') p.add_argument('-p', '--proj', type=str, help='map projection - plate or polar', default='polar') p.add_argument('-l', '--lim', type=float, help='absolute limit of colorbar - 0 for no absolute', default=70) p.add_argument('-c', '--cmap', type=str, help='colormap', default=None) P = p.parse_args() root = P.root if os.path.splitext(root)[1] in ['.h5', '.hdf5']: save(root=P.root, n=P.naverage, overlap=P.overlap, slide=P.slide, proj=P.proj, lim=P.lim, cmap=P.cmap) else: if platform == 'win32': flist = sorted(glob(os.path.split(root)[0] + '\\conv*.h5')) elif platform in ['linux', 'linux2']: flist = sorted(glob(os.path.split(root)[0] + '/conv*.h5')) if len(flist) > 0: for file in flist: save(file, n=P.naverage, overlap=P.overlap, slide=P.slide, proj=P.proj, lim=P.lim, cmap=P.cmap)

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py

Python

extgen/capi.py

maedoc/inducer-f2py

fce51e6603f7474632d452437dbb8b194d6c879d

[ "BSD-3-Clause" ]

57

2015-10-20T15:58:29.000Z

2022-03-19T08:52:04.000Z

extgen/capi.py

maedoc/inducer-f2py

fce51e6603f7474632d452437dbb8b194d6c879d

[ "BSD-3-Clause" ]

12

2016-03-14T16:02:42.000Z

2022-03-23T11:15:50.000Z

extgen/capi.py

maedoc/inducer-f2py

fce51e6603f7474632d452437dbb8b194d6c879d

[ "BSD-3-Clause" ]

12

2015-12-30T15:41:23.000Z

2022-03-01T17:14:42.000Z

from __future__ import absolute_import import numpy implementation = dict() typedefs = dict() macros = dict() typedefs['npy_unicode'] = dict(\ code = 'typedef struct { Py_UNICODE* data; Py_ssize_t size; } npy_unicode;') typedefs['npy_string'] = dict(\ code = 'typedef struct { char* data; Py_ssize_t size; } npy_string;') macros['IS_VALID_INIT'] = dict(\ code = '''\ #define IS_VALID_INIT(pyctype, name, name_str) \\ (name != NULL) {\\ if ((PyObject_IsInstance(name, (PyObject*)pyctype)==1) \\ && (!PyDict_SetItemString(capi_locals, name_str, name)))''' ) macros['SET_EXCEPTION_INIT'] = dict(\ code = '''\ #define SET_EXCEPTION_INIT(pyctype, name, name_str, init_str) \\ if (!PyErr_Occurred()) { \\ PyObject* r = PyString_FromString("expected "); \\ PyString_ConcatAndDel(&r, PyObject_Repr((PyObject*)pyctype)); \\ PyString_ConcatAndDel(&r, PyString_FromString(" object while initializing " name_str ", got ")); \\ PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(name))); \\ PyString_ConcatAndDel(&r, PyString_FromString(" object from `" init_str "`")); \\ PyErr_SetObject(PyExc_TypeError,r);\\ } \\ Py_DECREF(name); \\ }''' ) sctypebits = dict( Int = [8, 16, 32, 64, 128, 256], UInt = [8, 16, 32, 64, 128, 256], Float = [16, 32, 64, 80, 96, 128, 256], Complex = [32, 64, 128, 160, 192, 256, 512], ) template_to_npy_scalar = ''' static int pyobj_to_%(ctype)s(PyObject* obj, %(ctype)s* ptr) { int return_value = 0; if (PyArray_IsScalar(obj, %(Cls)s)) { *ptr = (%(ctype)s)PyArrayScalar_VAL(obj,%(Cls)s); return_value = 1; } else if (PySequence_Check(obj)) { if (PySequence_Size(obj)==1) return_value = pyobj_to_%(ctype)s(PySequence_GetItem(obj,0), ptr); } else { PyObject* sc = Py%(Cls)sArrType_Type.tp_new( &Py%(Cls)sArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_%(ctype)s(sc, ptr); else return_value = pyobj_to_%(ctype)s(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C %(ctype)s")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''' template_from_npy_scalar = ''' static PyObject* pyobj_from_%(ctype)s(%(ctype)s* value) { PyObject* obj = PyArrayScalar_New(%(Cls)s); if (obj==NULL) /* TODO: set exception */ return NULL; PyArrayScalar_ASSIGN(obj,%(Cls)s,*value); return obj; } ''' template_to_npy_complex_scalar = ''' static int pyobj_to_%(ctype)s(PyObject* obj, %(ctype)s* ptr) { int return_value = 0; if (obj==NULL) ; else if (PyArray_IsScalar(obj,%(Cls)s)) { ptr->real = PyArrayScalar_VAL(obj,%(Cls)s).real; ptr->imag = PyArrayScalar_VAL(obj,%(Cls)s).imag; return_value = 1; } else if (PySequence_Check(obj)) { if (PySequence_Size(obj)==1) return_value = pyobj_to_%(ctype)s(PySequence_GetItem(obj,0),ptr); else if (PySequence_Size(obj)==2) { return_value = pyobj_to_%(fctype)s(PySequence_GetItem(obj,0),&(ptr->real)) && pyobj_to_%(fctype)s(PySequence_GetItem(obj,1),&(ptr->imag)); } } else { PyObject* sc = Py%(Cls)sArrType_Type.tp_new( &Py%(Cls)sArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_%(ctype)s(sc, ptr); else return_value = pyobj_to_%(ctype)s(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C %(ctype)s")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''' template_from_npy_complex_scalar = ''' static PyObject* pyobj_from_%(ctype)s(%(ctype)s* value) { PyObject* obj = PyArrayScalar_New(%(Cls)s); if (obj==NULL) /* TODO: set exception */ return NULL; PyArrayScalar_ASSIGN(obj,%(Cls)s,*value); return obj; } ''' template_to_numpy_scalar = ''' static int pyobj_to_%(ctype_name)s(PyObject* obj, %(ctype)s* ptr) { int return_value = 0; if (PyArray_IsScalar(obj, %(Cls)s)) { *ptr = (%(ctype)s)obj; return_value = 1; } else if (PySequence_Check(obj)) { if (PySequence_Size(obj)==1) return_value = pyobj_to_%(ctype_name)s(PySequence_GetItem(obj,0), ptr); } else { PyObject* sc = Py%(Cls)sArrType_Type.tp_new( &Py%(Cls)sArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_%(ctype_name)s(sc, ptr); else return_value = pyobj_to_%(ctype_name)s(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C %(ctype)s")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''' template_to_numpy_complex_scalar = ''' static int pyobj_to_%(ctype_name)s(PyObject* obj, %(ctype)s* ptr) { int return_value = 0; if (obj==NULL) ; else if (PyArray_IsScalar(obj,%(Cls)s)) { *ptr = (%(ctype)s)obj; return_value = 1; } else if (PySequence_Check(obj)) { if (PySequence_Size(obj)==1) return_value = pyobj_to_%(ctype_name)s(PySequence_GetItem(obj,0),ptr); else if (PySequence_Size(obj)==2) { %(fctype)s r = (%(fctype)s)PyArrayScalar_New(%(FCls)s); if (r!=NULL) { %(fctype)s i = (%(fctype)s)PyArrayScalar_New(%(FCls)s); if (i!=NULL) { return_value = pyobj_to_%(fctype_name)s(PySequence_GetItem(obj,0),&r) && pyobj_to_%(fctype_name)s(PySequence_GetItem(obj,1),&i); if (return_value) { *ptr = (%(ctype)s)PyArrayScalar_New(%(Cls)s); if (*ptr!=NULL) { PyArrayScalar_VAL(*ptr, %(Cls)s).real = PyArrayScalar_VAL(r, %(FCls)s); PyArrayScalar_VAL(*ptr, %(Cls)s).imag = PyArrayScalar_VAL(i, %(FCls)s); } else { return_value = 0; } } Py_DECREF(i); } Py_DECREF(r); } } } else { PyObject* sc = Py%(Cls)sArrType_Type.tp_new( &Py%(Cls)sArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_%(ctype_name)s(sc, ptr); else return_value = pyobj_to_%(ctype_name)s(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C %(ctype)s")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''' for Cls_name, bits_list in list(sctypebits.items()): for bits in bits_list: n = Cls_name.lower() + str(bits) Cls = Cls_name + str(bits) ctype = 'npy_' + n fn = 'float' + str(bits/2) FCls = 'Float' + str(bits/2) fctype = 'npy_' + fn m = dict(ctype=ctype, Cls=Cls, fctype=fctype) for k in ['to', 'from']: depends = [] if Cls_name=='Complex': code = eval('template_'+k+'_npy_complex_scalar') % m if k=='to': depends = ['pyobj_'+k+'_npy_'+fn] else: code = eval('template_'+k+'_npy_scalar') % m implementation['pyobj_'+k+'_'+ctype] = dict( code = code, depends = depends, ) ctype = 'Py%sScalarObject*' % (Cls) ctype_name = 'numpy_' + n fn = 'float' + str(bits/2) FCls = 'Float' + str(bits/2) fctype = 'Py%sScalarObject*' % (FCls) fctype_name = 'numpy_' + fn m = dict(ctype=ctype, ctype_name=ctype_name, Cls=Cls, fctype=fctype, FCls=FCls, fctype_name=fctype_name) if Cls_name=='Complex': code = template_to_numpy_complex_scalar % m depends = ['pyobj_to_'+fctype_name] else: code = template_to_numpy_scalar % m depends = [] implementation['pyobj_to_'+ctype_name] = dict( code = code, depends = depends, ) implementation['pyobj_to_npy_bool'] = dict(\ code = '''\ static int pyobj_to_npy_bool(PyObject *obj, npy_bool* ptr) { int return_value = 0; if (obj==NULL) ; else if (PyArray_IsScalar(obj, Bool)) { *ptr = PyArrayScalar_VAL(obj, Bool); return_value = 1; } else { switch (PyObject_IsTrue(obj)) { case 0: *ptr = 0; return_value = 1; break; case -1: break; default: *ptr = 1; return_value = 1; } } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C npy_bool")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; }''') implementation['pyobj_from_npy_bool'] = dict(\ code = '''\ static PyObject* pyobj_from_npy_bool(npy_bool* ptr) { if (*ptr) { PyArrayScalar_RETURN_TRUE; } else { PyArrayScalar_RETURN_FALSE; } }''') implementation['pyobj_to_numpy_bool'] = dict(\ code = '''\ static int pyobj_to_numpy_bool(PyObject *obj, PyBoolScalarObject** ptr) { int return_value = 0; if (obj==NULL) ; else if (PyArray_IsScalar(obj, Bool)) { *ptr = (PyBoolScalarObject*)obj; return_value = 1; } else { switch (PyObject_IsTrue(obj)) { case 0: *ptr = (PyBoolScalarObject*)PyArrayScalar_False; return_value = 1; break; case -1: break; default: *ptr = (PyBoolScalarObject*)PyArrayScalar_True; return_value = 1; } } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C PyBoolScalarObject*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; }''') implementation['pyobj_to_char_ptr'] = dict(\ code = '''\ static int pyobj_to_char_ptr(PyObject *obj, char* * ptr) { int return_value = 0; if (obj==NULL) ; else if (PyString_Check(obj)) { Py_ssize_t l = 1+PyString_GET_SIZE(obj); *ptr = malloc(l*sizeof(char)); return_value = !! strncpy(*ptr,PyString_AS_STRING(obj),l); } else { return_value = pyobj_to_char_ptr(PyObject_Str(obj), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C char*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; }''') implementation['clean_pyobj_to_char_ptr'] = dict(\ code = '''\ static void clean_pyobj_to_char_ptr(char* * ptr) { if ((*ptr) != NULL) { free(*ptr); } }''') implementation['pyobj_to_npy_string'] = dict(\ code = '''\ static int pyobj_to_npy_string(PyObject *obj, npy_string *ptr) { int return_value = 0; if (obj==NULL) ; else if (PyArray_IsScalar(obj, String)) { Py_ssize_t l = 1+PyString_GET_SIZE(obj); ptr->data = malloc(l*sizeof(char)); ptr->size = l-1; return_value = !! strncpy(ptr->data,PyString_AS_STRING(obj),l); } else { PyObject* sc = PyStringArrType_Type.tp_new( &PyStringArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_npy_string(sc, ptr); else return_value = pyobj_to_npy_string(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C char*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; }''') implementation['clean_pyobj_to_npy_string'] = dict(\ code = '''\ static void clean_pyobj_to_npy_string(npy_string *ptr) { if ((ptr->data) != NULL) { free(ptr->data); ptr->size = 0; } } ''') implementation['pyobj_from_npy_string'] = dict(\ code = '''\ static PyObject* pyobj_from_npy_string(npy_string *ptr) { PyObject* sc = PyStringArrType_Type.tp_new( &PyStringArrType_Type,Py_BuildValue("(O)", PyString_FromStringAndSize(ptr->data, ptr->size)),NULL); return sc; }''') implementation['pyobj_to_numpy_string'] = dict(\ code = '''\ static int pyobj_to_numpy_string(PyObject *obj, PyStringScalarObject** ptr) { int return_value = 0; if (PyArray_IsScalar(obj, String)) { *ptr = (PyStringScalarObject*)obj; return_value = 1; } else { PyObject* sc = PyStringArrType_Type.tp_new( &PyStringArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_numpy_string(sc, ptr); else return_value = pyobj_to_numpy_string(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C PyStringScalarObject*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''') implementation['pyobj_to_numpy_unicode'] = dict(\ code = '''\ static int pyobj_to_numpy_unicode(PyObject *obj, PyUnicodeScalarObject** ptr) { int return_value = 0; if (PyArray_IsScalar(obj, Unicode)) { *ptr = (PyUnicodeScalarObject*)obj; return_value = 1; } else { PyObject* sc = PyUnicodeArrType_Type.tp_new( &PyUnicodeArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_numpy_unicode(sc, ptr); else return_value = pyobj_to_numpy_unicode(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C PyUnicodeScalarObject*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''') implementation['pyobj_to_npy_unicode'] = dict(\ code = '''\ static int pyobj_to_npy_unicode(PyObject *obj, npy_unicode * ptr) { int return_value = 0; if (obj==NULL) ; else if (PyArray_IsScalar(obj, Unicode)) { Py_ssize_t l = PyUnicode_GET_DATA_SIZE(obj); ptr->data = malloc(l); ptr->size = PyUnicode_GET_SIZE(obj); return_value = !! memcpy(ptr->data,PyUnicode_AS_UNICODE(obj),l); } else { PyObject* sc = PyUnicodeArrType_Type.tp_new( &PyUnicodeArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_npy_unicode(sc, ptr); else return_value = pyobj_to_npy_unicode(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C Py_UNICODE*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; }''') implementation['clean_pyobj_to_npy_unicode'] = dict(\ code = '''\ static void clean_pyobj_to_npy_unicode(npy_unicode * ptr) { if ((ptr->data) != NULL) { free(ptr->data); ptr->size = 0; } } ''') implementation['pyobj_from_npy_unicode'] = dict(\ code = '''\ static PyObject* pyobj_from_npy_unicode(npy_unicode *ptr) { PyObject* sc = PyUnicodeArrType_Type.tp_new( &PyUnicodeArrType_Type,Py_BuildValue("(O)",PyUnicode_FromUnicode(ptr->data, ptr->size)),NULL); return sc; }''') implementation['pyobj_to_numpy_void'] = dict(\ code = '''\ static int pyobj_to_numpy_void(PyObject *obj, PyVoidScalarObject** ptr) { int return_value = 0; if (PyArray_IsScalar(obj, Void)) { *ptr = (PyVoidScalarObject*)obj; return_value = 1; } else { PyObject* sc = PyVoidArrType_Type.tp_new( &PyVoidArrType_Type,Py_BuildValue("(O)",obj),NULL); if (sc==NULL) ; else if (PyArray_IsScalar(sc, Generic)) return_value = pyobj_to_numpy_void(sc, ptr); else return_value = pyobj_to_numpy_void(PyArray_ScalarFromObject(sc), ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C PyVoidScalarObject*")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''') implementation['pyobj_to_numpy_array_int64'] = dict(\ code = '''\ static int pyobj_to_numpy_array_int64(PyObject *obj, PyArrayObject** ptr) { int return_value = 0; if (PyArray_Check(obj)) { if (PyArray_TYPE(obj)==PyArray_INT64) { *ptr = (PyArrayObject*)obj; return_value = 1; } } else { PyObject* arr = PyArray_FROM_OT(obj, PyArray_INT64); return_value = pyobj_to_numpy_array_int64(arr, ptr); } if (!return_value && !PyErr_Occurred()) { PyObject* r = PyString_FromString("Failed to convert "); PyString_ConcatAndDel(&r, PyObject_Repr(PyObject_Type(obj))); PyString_ConcatAndDel(&r, PyString_FromString(" to C ")); PyErr_SetObject(PyExc_TypeError,r); } return return_value; } ''' )

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0.042288

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0

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0.195546

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0

null

0

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0

1

null

0

5

97350c90bae5d218c1ffc8633d7a1605cbb3170c

94

py

Python

requests_base/__init__.py

michaeltinsley/requests-base

ecd5de7aa808f0f1c18de6968cc1e9d264cda4f6

[ "MIT" ]

null

requests_base/__init__.py

michaeltinsley/requests-base

ecd5de7aa808f0f1c18de6968cc1e9d264cda4f6

[ "MIT" ]

1

2021-08-30T09:29:49.000Z

2021-08-30T09:44:32.000Z

requests_base/__init__.py

michaeltinsley/requests-base

ecd5de7aa808f0f1c18de6968cc1e9d264cda4f6

[ "MIT" ]

null

""" A Requests Session with a base URL. """ from .requests_base import BaseUrlSession # noqa

18.8

49

0.734043

13

94

5.230769

0.769231

0

0.170213

94

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true

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null

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1

0

1

0

1

0

5

973f98d98e3f41d8c4a8efbe15fd96195a1b5032

191

py

Python

myawwards/admin.py

Bridgit-wairimu/Awwards

285551161a3bf8ae06ad731c2b9feafae27b00e3

[ "MIT" ]

null

myawwards/admin.py

Bridgit-wairimu/Awwards

285551161a3bf8ae06ad731c2b9feafae27b00e3

[ "MIT" ]

null

myawwards/admin.py

Bridgit-wairimu/Awwards

285551161a3bf8ae06ad731c2b9feafae27b00e3

[ "MIT" ]

null

from django.contrib import admin from .models import Profile,Post,Rating # Register your models here. admin.site.register(Profile) admin.site.register(Post) admin.site.register(Rating)

27.285714

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0.790576

27

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0

0.115183

191

7

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27.285714

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true

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