xszheng2020/the_stack_dedup_python_hits_6 · Datasets at Hugging Face

05cdb2e16a99a1eeedf00411a80492c0745f8ef3

59

py

Python

projects/PoseNet/posenet/checkpoint/__init__.py

thanhhvnqb/detectron2

53a964ec53c8bf2e87e73ec1d086dad8d2993b4e

[ "Apache-2.0" ]

null

projects/PoseNet/posenet/checkpoint/__init__.py

thanhhvnqb/detectron2

53a964ec53c8bf2e87e73ec1d086dad8d2993b4e

[ "Apache-2.0" ]

null

projects/PoseNet/posenet/checkpoint/__init__.py

thanhhvnqb/detectron2

53a964ec53c8bf2e87e73ec1d086dad8d2993b4e

[ "Apache-2.0" ]

null

from .detection_checkpoint import DevDetectionCheckpointer

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05fcb2b65c26412edd94a67598f4ed28018c26aa

192

py

Python

docs/make.py

fx-kirin/tendo

38184cdded6bd5982d11a38cd4a570847328f76f

[ "Python-2.0", "PSF-2.0" ]

115

2015-01-07T16:54:22.000Z

2022-03-27T23:40:25.000Z

docs/make.py

ssbarnea/tendo

9b3bb56628ce6da74ffe1895d4bce67cfda06ce9

[ "Python-2.0", "PSF-2.0" ]

41

2015-02-03T18:25:27.000Z

2022-02-01T12:28:27.000Z

docs/make.py

ssbarnea/tendo

9b3bb56628ce6da74ffe1895d4bce67cfda06ce9

[ "Python-2.0", "PSF-2.0" ]

51

2015-06-05T06:50:30.000Z

2022-03-28T21:35:24.000Z

#!/usr/bin/env python import os if 'PYTHONPATH' in os.environ: os.environ['PYTHONPATH'] = "..:" + os.environ['PYTHONPATH'] else: os.environ['PYTHONPATH'] = ".." os.system("make html")

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py

Python

example/demo_python/ProjectConsts.py

MicroTCA-Tech-Lab/libudmaio

c7fcc77fd2cf9990c77d4e0bde59c650bf71aa0d

[ "BSD-3-Clause" ]

2

2022-02-11T12:34:12.000Z

2022-02-11T12:35:58.000Z

example/demo_python/ProjectConsts.py

MicroTCA-Tech-Lab/libudmaio

c7fcc77fd2cf9990c77d4e0bde59c650bf71aa0d

[ "BSD-3-Clause" ]

null

example/demo_python/ProjectConsts.py

MicroTCA-Tech-Lab/libudmaio

c7fcc77fd2cf9990c77d4e0bde59c650bf71aa0d

[ "BSD-3-Clause" ]

null

# Copyright (c) 2021 Deutsches Elektronen-Synchrotron DESY from pyudmaio import UioDeviceLocation, UioRegion class ZupExampleConsts(object): AXI_GPIO_STATUS = UioDeviceLocation( 'axi_gpio_status', UioRegion(0x00801000, 4 * 1024) ) AXI_DMA_0 = UioDeviceLocation( 'hier_daq_arm_axi_dma_0', UioRegion(0x00910000, 4 * 1024), 'events0' ) BRAM_CTRL_0 = UioDeviceLocation( 'hier_daq_arm_axi_bram_ctrl_0', UioRegion(0x00920000, 8 * 1024) ) AXI_TRAFFIC_GEN_0 = UioDeviceLocation( 'hier_daq_arm_axi_traffic_gen_0', UioRegion(0x00890000, 64 * 1024) ) FPGA_MEM_PHYS_ADDR = 0x500000000 PCIE_AXI4L_OFFSET = 0x88000000 LFSR_BYTES_PER_BEAT = 16 class Z7ioExampleConsts(object): AXI_GPIO_STATUS = UioDeviceLocation( 'axi_gpio_status', UioRegion(0x00801000, 4 * 1024) ) AXI_DMA_0 = UioDeviceLocation( 'hier_daq_arm_axi_dma_0', UioRegion(0x00910000, 4 * 1024), 'events0' ) BRAM_CTRL_0 = UioDeviceLocation( 'hier_daq_arm_axi_bram_ctrl_0', UioRegion(0x00920000, 8 * 1024) ) AXI_TRAFFIC_GEN_0 = UioDeviceLocation( 'hier_daq_arm_axi_traffic_gen_0', UioRegion(0x00890000, 64 * 1024) ) FPGA_MEM_PHYS_ADDR = 0x03f100000 PCIE_AXI4L_OFFSET = 0x44000000 LFSR_BYTES_PER_BEAT = 8

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afc34835f21deebd4d25c2d846e4e53e31eb0bb1

312

py

Python

database/models.py

wilsonpe66/server-backend

16665d810fe1829f5dacc67f396b7cecf5af042f

[ "BSD-3-Clause" ]

1

2019-09-26T04:00:55.000Z

database/models.py

wilsonpe66/server-backend

16665d810fe1829f5dacc67f396b7cecf5af042f

[ "BSD-3-Clause" ]

2

2020-06-05T21:58:55.000Z

2021-06-10T21:45:08.000Z

database/models.py

wilsonpe66/server-backend

16665d810fe1829f5dacc67f396b7cecf5af042f

[ "BSD-3-Clause" ]

1

2019-09-26T03:55:06.000Z

from database.data_access_models import ChunkRegistry, FileToProcess, FileProcessLock from database.profiling_models import DecryptionKeyError, EncryptionErrorMetadata, LineEncryptionError, UploadTracking from database.study_models import DeviceSettings, Participant, Researcher, Study, Survey, SurveyArchive

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bb947568bb9af729557762990cec2bb88ed80da1

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py

Python

application/routes.py

LandRegistry/lc-alpha-document-api

b0f48a4181d1535956aa32c4037887d8e51245cc

[ "MIT" ]

null

application/routes.py

LandRegistry/lc-alpha-document-api

b0f48a4181d1535956aa32c4037887d8e51245cc

[ "MIT" ]

null

application/routes.py

LandRegistry/lc-alpha-document-api

b0f48a4181d1535956aa32c4037887d8e51245cc

[ "MIT" ]

1

2021-04-11T06:04:50.000Z

from application import app from flask import Response, request @app.route('/', methods=["GET"]) def index(): return Response(status=200)

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bbbfcce06c690cfb366f8767b258b06602756308

175

py

Python

xlayers/__init__.py

cspencerjones/xlayers

dc61e8b9189c2933f38547fd2cf77210bfd7d35c

[ "MIT" ]

11

2019-10-16T17:27:32.000Z

2021-07-14T18:47:52.000Z

xlayers/__init__.py

cspencerjones/xlayers

dc61e8b9189c2933f38547fd2cf77210bfd7d35c

[ "MIT" ]

11

2019-10-27T14:18:06.000Z

2020-10-30T14:39:57.000Z

xlayers/__init__.py

cspencerjones/xlayers

dc61e8b9189c2933f38547fd2cf77210bfd7d35c

[ "MIT" ]

5

2019-10-26T14:02:36.000Z

2020-07-13T04:45:52.000Z

from ._version import get_versions __version__ = get_versions()['version'] del get_versions __all__ = ['core'] from .core import layers_numpy from .core import layers_xarray

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3c3888d52cf4534b673f928c113342e994c01b16

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py

Python

pytest_asyncio_network_simulator/__init__.py

vaporyproject/pytest-asyncio-network-simulator

7a7ee136c8e47cde751c1a5af9739b1099810608

[ "MIT" ]

null

pytest_asyncio_network_simulator/__init__.py

vaporyproject/pytest-asyncio-network-simulator

7a7ee136c8e47cde751c1a5af9739b1099810608

[ "MIT" ]

null

pytest_asyncio_network_simulator/__init__.py

vaporyproject/pytest-asyncio-network-simulator

7a7ee136c8e47cde751c1a5af9739b1099810608

[ "MIT" ]

null

from .address import Address # noqa: F401 from .host import Host # noqa: F401 from .network import Network # noqa: F401 from .router import Router # noqa: F401

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3c9ddc335b9aba043ad4ab2edee4f69776bb799e

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py

Python

test-requirements_type-example/main.py

XingangShi/exampe_pip_package

be82707f56c41dbc89316b832263336a964c4338

[ "MIT" ]

null

test-requirements_type-example/main.py

XingangShi/exampe_pip_package

be82707f56c41dbc89316b832263336a964c4338

[ "MIT" ]

null

test-requirements_type-example/main.py

XingangShi/exampe_pip_package

be82707f56c41dbc89316b832263336a964c4338

[ "MIT" ]

null

import exampe_pip_package exampe_pip_package.pip_test().get_info()

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b1b9bbfbcc060d0c09a68d8fda3651d79ba4c385

156

py

Python

app/error.py

puzzle9/FaceApi

9a19babf1759a637261b1ad7d9c35ec630679527

[ "MIT" ]

null

app/error.py

puzzle9/FaceApi

9a19babf1759a637261b1ad7d9c35ec630679527

[ "MIT" ]

null

app/error.py

puzzle9/FaceApi

9a19babf1759a637261b1ad7d9c35ec630679527

[ "MIT" ]

null

from app.response import error def register_errors(app): @app.errorhandler(422) def errorhandler_422(err): return error(err.description)

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b1ca8879bf97ca70eb546bc4ec5d8d2e4da5f5e9

1,045

py

Python

seg1d/examples/ex_segment_class.py

cadop/seg1d

f5de3949da1fee71110435c5700c4774a03fedb1

[ "MIT" ]

9

2020-05-12T18:15:40.000Z

2021-09-24T13:11:21.000Z

seg1d/examples/ex_segment_class.py

cadop/seg1d

f5de3949da1fee71110435c5700c4774a03fedb1

[ "MIT" ]

8

2020-06-29T19:44:36.000Z

2020-08-11T13:38:03.000Z

seg1d/examples/ex_segment_class.py

cadop/seg1d

f5de3949da1fee71110435c5700c4774a03fedb1

[ "MIT" ]

4

2020-08-11T10:59:20.000Z

2021-03-29T17:53:04.000Z

''' >>> import numpy as np >>> import seg1d >>> #retrieve the sample reference, target, and weight data >>> r,t,w = seg1d.sampleData() >>> # define some test parameters >>> minW = 70 #minimum percent to scale down reference data >>> maxW = 150 #maximum percent to scale up reference data >>> step = 1 #step to use for correlating reference to target data >>> #call the segmentation algorithm >>> np.around(seg1d.segment_data(r,t,w,minW,maxW,step), 5) array([[207. , 240. , 0.91242], [342. , 381. , 0.88019], [ 72. , 112. , 0.87768]]) ''' import seg1d #retrieve the sample reference, target, and weight data r,t,w = seg1d.sampleData() ### define some test parameters minW = 70 #minimum percent to scale down reference data maxW = 150 #maximum percent to scale up reference data step = 1 #step to use for correlating reference to target data #call the segmentation algorithm segments = seg1d.segment_data(r,t,w,minW,maxW,step) print(segments)

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590ce1942076e23e8458ea8ea919ec261860bfb3

128

py

Python

tools/cli_lint.py

grbd/GBD.NetCore.WebTemplates

19dee03ecc98279c10999fe6c32c61e17357d4c9

[ "MIT" ]

null

tools/cli_lint.py

grbd/GBD.NetCore.WebTemplates

19dee03ecc98279c10999fe6c32c61e17357d4c9

[ "MIT" ]

null

tools/cli_lint.py

grbd/GBD.NetCore.WebTemplates

19dee03ecc98279c10999fe6c32c61e17357d4c9

[ "MIT" ]

null

# TODO # TODO # "lint": "eslint -c ./.eslintrc.js ClientApp/**/*.js ClientApp/**/*.vue ClientApp/**/*.json webpack*.js",

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6

591080a84682873a66cf64cf4e4e67659ebc96c1

45

py

Python

scenecuts/__init__.py

JosselinSomervilleRoberts/SpeechBubbleSubtitles

a4467b042919f34fdd47648ae31af7df5247b6d1

[ "MIT" ]

1

2022-01-27T19:46:02.000Z

scenecuts/__init__.py

JosselinSomervilleRoberts/SpeechBubbleSubtitles

a4467b042919f34fdd47648ae31af7df5247b6d1

[ "MIT" ]

null

scenecuts/__init__.py

JosselinSomervilleRoberts/SpeechBubbleSubtitles

a4467b042919f34fdd47648ae31af7df5247b6d1

[ "MIT" ]

null

from scenecuts.cutDetector import CutDetector

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5944e4b3583fca15837c66e704c5b54a84748cf6

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py

Python

src/coffee/__init__.py

Coffee2Bits/Coffee

e322633cd2fa76e5a9c28e67422a35c2ce98f559

[ "MIT" ]

null

src/coffee/__init__.py

Coffee2Bits/Coffee

e322633cd2fa76e5a9c28e67422a35c2ce98f559

[ "MIT" ]

null

src/coffee/__init__.py

Coffee2Bits/Coffee

e322633cd2fa76e5a9c28e67422a35c2ce98f559

[ "MIT" ]

null

"""Main entry point.""" import sys

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6

3cf00aa786b9a2ffd27a9d8264c2fee4c632aec1

11,329

py

Python

nova/tests/unit/scheduler/filters/test_compute_capabilities_filters.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/scheduler/filters/test_compute_capabilities_filters.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

null

nova/tests/unit/scheduler/filters/test_compute_capabilities_filters.py

bopopescu/nova-token

ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2

[ "Apache-2.0" ]

2

2017-07-20T17:31:34.000Z

2020-07-24T02:42:19.000Z

begin_unit comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may' nl|'\n' comment|'# not use this file except in compliance with the License. You may obtain' nl|'\n' comment|'# a copy of the License at' nl|'\n' comment|'#' nl|'\n' comment|'# http://www.apache.org/licenses/LICENSE-2.0' nl|'\n' comment|'#' nl|'\n' comment|'# Unless required by applicable law or agreed to in writing, software' nl|'\n' comment|'# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT' nl|'\n' comment|'# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the' nl|'\n' comment|'# License for the specific language governing permissions and limitations' nl|'\n' comment|'# under the License.' nl|'\n' nl|'\n' name|'import' name|'six' newline|'\n' nl|'\n' name|'from' name|'nova' name|'import' name|'objects' newline|'\n' name|'from' name|'nova' op|'.' name|'scheduler' op|'.' name|'filters' name|'import' name|'compute_capabilities_filter' newline|'\n' name|'from' name|'nova' name|'import' name|'test' newline|'\n' name|'from' name|'nova' op|'.' name|'tests' op|'.' name|'unit' op|'.' name|'scheduler' name|'import' name|'fakes' newline|'\n' nl|'\n' nl|'\n' DECL|class|TestComputeCapabilitiesFilter name|'class' name|'TestComputeCapabilitiesFilter' op|'(' name|'test' op|'.' name|'NoDBTestCase' op|')' op|':' newline|'\n' nl|'\n' DECL|member|setUp indent|' ' name|'def' name|'setUp' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'super' op|'(' name|'TestComputeCapabilitiesFilter' op|',' name|'self' op|')' op|'.' name|'setUp' op|'(' op|')' newline|'\n' name|'self' op|'.' name|'filt_cls' op|'=' name|'compute_capabilities_filter' op|'.' name|'ComputeCapabilitiesFilter' op|'(' op|')' newline|'\n' nl|'\n' DECL|member|_do_test_compute_filter_extra_specs dedent|'' name|'def' name|'_do_test_compute_filter_extra_specs' op|'(' name|'self' op|',' name|'ecaps' op|',' name|'especs' op|',' name|'passes' op|')' op|':' newline|'\n' comment|'# In real OpenStack runtime environment,compute capabilities' nl|'\n' comment|'# value may be number, so we should use number to do unit test.' nl|'\n' indent|' ' name|'capabilities' op|'=' op|'{' op|'}' newline|'\n' name|'capabilities' op|'.' name|'update' op|'(' name|'ecaps' op|')' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'flavor' op|'=' name|'objects' op|'.' name|'Flavor' op|'(' name|'memory_mb' op|'=' number|'1024' op|',' name|'extra_specs' op|'=' name|'especs' op|')' op|')' newline|'\n' name|'host_state' op|'=' op|'{' string|"'free_ram_mb'" op|':' number|'1024' op|'}' newline|'\n' name|'host_state' op|'.' name|'update' op|'(' name|'capabilities' op|')' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' name|'host_state' op|')' newline|'\n' name|'assertion' op|'=' name|'self' op|'.' name|'assertTrue' name|'if' name|'passes' name|'else' name|'self' op|'.' name|'assertFalse' newline|'\n' name|'assertion' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_passes_without_extra_specs dedent|'' name|'def' name|'test_compute_filter_passes_without_extra_specs' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'flavor' op|'=' name|'objects' op|'.' name|'Flavor' op|'(' name|'memory_mb' op|'=' number|'1024' op|')' op|')' newline|'\n' name|'host_state' op|'=' op|'{' string|"'free_ram_mb'" op|':' number|'1024' op|'}' newline|'\n' name|'host' op|'=' name|'fakes' op|'.' name|'FakeHostState' op|'(' string|"'host1'" op|',' string|"'node1'" op|',' name|'host_state' op|')' newline|'\n' name|'self' op|'.' name|'assertTrue' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'host' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_fails_without_host_state dedent|'' name|'def' name|'test_compute_filter_fails_without_host_state' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'especs' op|'=' op|'{' string|"'capabilities'" op|':' string|"'1'" op|'}' newline|'\n' name|'spec_obj' op|'=' name|'objects' op|'.' name|'RequestSpec' op|'(' nl|'\n' name|'flavor' op|'=' name|'objects' op|'.' name|'Flavor' op|'(' name|'memory_mb' op|'=' number|'1024' op|',' name|'extra_specs' op|'=' name|'especs' op|')' op|')' newline|'\n' name|'self' op|'.' name|'assertFalse' op|'(' name|'self' op|'.' name|'filt_cls' op|'.' name|'host_passes' op|'(' name|'None' op|',' name|'spec_obj' op|')' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_fails_without_capabilites dedent|'' name|'def' name|'test_compute_filter_fails_without_capabilites' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'cpu_info' op|'=' string|'""" { } """' newline|'\n' nl|'\n' name|'cpu_info' op|'=' name|'six' op|'.' name|'text_type' op|'(' name|'cpu_info' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'cpu_info'" op|':' name|'cpu_info' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'capabilities:cpu_info:vendor'" op|':' string|"'Intel'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'False' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_pass_cpu_info_as_text_type dedent|'' name|'def' name|'test_compute_filter_pass_cpu_info_as_text_type' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'cpu_info' op|'=' string|'""" { "vendor": "Intel", "model": "core2duo",\n "arch": "i686","features": ["lahf_lm", "rdtscp"], "topology":\n {"cores": 1, "threads":1, "sockets": 1}} """' newline|'\n' nl|'\n' name|'cpu_info' op|'=' name|'six' op|'.' name|'text_type' op|'(' name|'cpu_info' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'cpu_info'" op|':' name|'cpu_info' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'capabilities:cpu_info:vendor'" op|':' string|"'Intel'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'True' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_fail_cpu_info_as_text_type_not_valid dedent|'' name|'def' name|'test_compute_filter_fail_cpu_info_as_text_type_not_valid' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'cpu_info' op|'=' string|'"cpu_info"' newline|'\n' nl|'\n' name|'cpu_info' op|'=' name|'six' op|'.' name|'text_type' op|'(' name|'cpu_info' op|')' newline|'\n' nl|'\n' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'cpu_info'" op|':' name|'cpu_info' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'capabilities:cpu_info:vendor'" op|':' string|"'Intel'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'False' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_passes_extra_specs_simple dedent|'' name|'def' name|'test_compute_filter_passes_extra_specs_simple' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'stats'" op|':' op|'{' string|"'opt1'" op|':' number|'1' op|',' string|"'opt2'" op|':' number|'2' op|'}' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'opt1'" op|':' string|"'1'" op|',' string|"'opt2'" op|':' string|"'2'" op|',' string|"'trust:trusted_host'" op|':' string|"'true'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'True' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_fails_extra_specs_simple dedent|'' name|'def' name|'test_compute_filter_fails_extra_specs_simple' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'stats'" op|':' op|'{' string|"'opt1'" op|':' number|'1' op|',' string|"'opt2'" op|':' number|'2' op|'}' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'opt1'" op|':' string|"'1'" op|',' string|"'opt2'" op|':' string|"'222'" op|',' string|"'trust:trusted_host'" op|':' string|"'true'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'False' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_pass_extra_specs_simple_with_scope dedent|'' name|'def' name|'test_compute_filter_pass_extra_specs_simple_with_scope' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'stats'" op|':' op|'{' string|"'opt1'" op|':' number|'1' op|',' string|"'opt2'" op|':' number|'2' op|'}' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'capabilities:opt1'" op|':' string|"'1'" op|',' nl|'\n' string|"'trust:trusted_host'" op|':' string|"'true'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'True' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_pass_extra_specs_same_as_scope dedent|'' name|'def' name|'test_compute_filter_pass_extra_specs_same_as_scope' op|'(' name|'self' op|')' op|':' newline|'\n' comment|'# Make sure this still works even if the key is the same as the scope' nl|'\n' indent|' ' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'capabilities'" op|':' number|'1' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'capabilities'" op|':' string|"'1'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'True' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_extra_specs_simple_with_wrong_scope dedent|'' name|'def' name|'test_compute_filter_extra_specs_simple_with_wrong_scope' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'opt1'" op|':' number|'1' op|',' string|"'opt2'" op|':' number|'2' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'wrong_scope:opt1'" op|':' string|"'1'" op|',' nl|'\n' string|"'trust:trusted_host'" op|':' string|"'true'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'True' op|')' newline|'\n' nl|'\n' DECL|member|test_compute_filter_extra_specs_pass_multi_level_with_scope dedent|'' name|'def' name|'test_compute_filter_extra_specs_pass_multi_level_with_scope' op|'(' name|'self' op|')' op|':' newline|'\n' indent|' ' name|'self' op|'.' name|'_do_test_compute_filter_extra_specs' op|'(' nl|'\n' name|'ecaps' op|'=' op|'{' string|"'stats'" op|':' op|'{' string|"'opt1'" op|':' op|'{' string|"'a'" op|':' number|'1' op|',' string|"'b'" op|':' op|'{' string|"'aa'" op|':' number|'2' op|'}' op|'}' op|',' string|"'opt2'" op|':' number|'2' op|'}' op|'}' op|',' nl|'\n' name|'especs' op|'=' op|'{' string|"'opt1:a'" op|':' string|"'1'" op|',' string|"'capabilities:opt1:b:aa'" op|':' string|"'2'" op|',' nl|'\n' string|"'trust:trusted_host'" op|':' string|"'true'" op|'}' op|',' nl|'\n' name|'passes' op|'=' name|'True' op|')' newline|'\n' dedent|'' dedent|'' endmarker|'' end_unit

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a739e5bbd5ff2626e141af6c1b03ed773286d58e

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py

Python

bookstone/backends/ftp/__init__.py

Timtam/bookstone

fe06e35ad18c51e452d400a5e679aa2824931557

[ "MIT" ]

null

bookstone/backends/ftp/__init__.py

Timtam/bookstone

fe06e35ad18c51e452d400a5e679aa2824931557

[ "MIT" ]

3

2020-10-29T23:55:17.000Z

2021-04-16T20:41:46.000Z

bookstone/backends/ftp/__init__.py

Timtam/bookstone

fe06e35ad18c51e452d400a5e679aa2824931557

[ "MIT" ]

null

from .backend import FTPBackend # noqa: F401

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596ea53731f1e111f3a5a93873879d8ac4084733

280

py

Python

test/test_lcs.py

neo0057/Algorithms

75300184665d71a0fc1248448c509e14b51e05a0

[ "WTFPL" ]

4

2018-09-18T09:02:03.000Z

2019-11-27T08:29:43.000Z

test/test_lcs.py

neo0057/Algorithms

75300184665d71a0fc1248448c509e14b51e05a0

[ "WTFPL" ]

4

2018-10-12T13:32:43.000Z

2018-10-24T16:39:02.000Z

test/test_lcs.py

neo0057/Algorithms

75300184665d71a0fc1248448c509e14b51e05a0

[ "WTFPL" ]

9

2018-10-12T14:11:26.000Z

2019-10-04T08:16:02.000Z

import pytest from dp import lcs def test_lcs(): assert lcs.longest_common_subsequence("ABCD", "BBDABXYDCCAD") == (4, "ABCD") assert lcs.longest_common_subsequence("BANANA", "ATANA") == (4, "AANA") assert lcs.longest_common_subsequence("ABCDEFG", "BDGK") == (3, "BDG")

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6

59a3204a18beb15f000e8e2dc4c88299c5af12b0

22

py

Python

scripts/header.py

Solacex/Flat-White

6d0f94180b6dfae45955595962f1965b26b2b6f5

[ "MIT" ]

2

2021-02-17T13:37:56.000Z

2021-02-17T13:40:45.000Z

scripts/header.py

Solacex/Flat-White

6d0f94180b6dfae45955595962f1965b26b2b6f5

[ "MIT" ]

null

scripts/header.py

Solacex/Flat-White

6d0f94180b6dfae45955595962f1965b26b2b6f5

[ "MIT" ]

null

import os import time

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59be1ea0ca2c9b15f63353e472d61fb03991f786

75

py

Python

component/demo_redis/__init__.py

caserwin/daily-learning-python

01fea4c5d4e86cbea2dbef8817146f018b5f1479

[ "Apache-2.0" ]

1

2019-05-04T07:27:18.000Z

component/demo_redis/__init__.py

caserwin/daily-learning-python

01fea4c5d4e86cbea2dbef8817146f018b5f1479

[ "Apache-2.0" ]

null

component/demo_redis/__init__.py

caserwin/daily-learning-python

01fea4c5d4e86cbea2dbef8817146f018b5f1479

[ "Apache-2.0" ]

1

2018-09-20T01:49:36.000Z

# -*- coding: utf-8 -*- # @Time : 2018/8/11 上午10:06 # @Author : yidxue

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abb4c3128c267e5de6860c12b0eb1bca20121772

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py

Python

src/python/addons/dorothy's_development_environment/dorothy.py

natukikazemizo/Sedna1.0

d3b60d1d58d6b99f8cae40d9fa9787e043971e2b

[ "MIT" ]

4

2018-06-26T18:55:39.000Z

2021-06-19T12:34:19.000Z

src/python/addons/dorothy's_development_environment/dorothy.py

natukikazemizo/Sedna1.0

d3b60d1d58d6b99f8cae40d9fa9787e043971e2b

[ "MIT" ]

33

2018-04-02T12:10:06.000Z

2021-05-02T05:39:54.000Z

src/python/addons/dorothy's_development_environment/loris.py

natukikazemizo/Sedna1.0

d3b60d1d58d6b99f8cae40d9fa9787e043971e2b

[ "MIT" ]

1

2019-05-16T05:03:26.000Z

import bpy print('Hello world')

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py

Python

AI/ailib/__init__.py

RGBHack/AlzheimersAI

aaa18a7eb6f1e759fec0b79a62de0ff021884f8d

[ "MIT" ]

14

2020-05-09T20:48:05.000Z

2022-02-03T04:07:06.000Z

AI/ailib/__init__.py

bmswgnp/AlzheimersAI

23937c90e3ba4fa39aca6a58d1c8cf320800bd28

[ "MIT" ]

null

AI/ailib/__init__.py

bmswgnp/AlzheimersAI

23937c90e3ba4fa39aca6a58d1c8cf320800bd28

[ "MIT" ]

1

2021-12-22T10:04:26.000Z

from .ailib import *

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f9fb35084ea1dfbdf428ea66ab8c277887cbf8e3

35

py

Python

django_postgres_extensions/models/sql/__init__.py

jstacoder/django_postgres_extensions

f2a17466e950d8595db08364d4c1f47259a7191b

[ "BSD-3-Clause" ]

56

2016-08-19T10:47:24.000Z

2022-01-04T16:19:40.000Z

django_postgres_extensions/models/sql/__init__.py

jstacoder/django_postgres_extensions

f2a17466e950d8595db08364d4c1f47259a7191b

[ "BSD-3-Clause" ]

8

2016-11-18T17:02:55.000Z

2020-02-05T02:45:05.000Z

django_postgres_extensions/models/sql/__init__.py

jstacoder/django_postgres_extensions

f2a17466e950d8595db08364d4c1f47259a7191b

[ "BSD-3-Clause" ]

30

2017-07-17T19:06:15.000Z

2022-03-26T12:03:01.000Z

from .subqueries import UpdateQuery

35

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6

e61448c6ca4799f39d4491cd07562d0d03daa7ee

218

py

Python

source/ppi_traj/mdtraj_utils/__init__.py

PolyachenkoYA/masif_2021

93ff3395696d2f2515f569c2d0218af251168e34

[ "Apache-2.0" ]

null

source/ppi_traj/mdtraj_utils/__init__.py

PolyachenkoYA/masif_2021

93ff3395696d2f2515f569c2d0218af251168e34

[ "Apache-2.0" ]

null

source/ppi_traj/mdtraj_utils/__init__.py

PolyachenkoYA/masif_2021

93ff3395696d2f2515f569c2d0218af251168e34

[ "Apache-2.0" ]

null

from . import trajectory_utils as utils from . import trajectory_measures as measures from . import data_manager_connector as data from . import electrostatics as phys from . import statistical_contacts_model as stats

36.333333

49

0.83945

31

218

5.709677

0.483871

0.282486

0.225989

0

0.137615

218

5

50

43.6

0.941489

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

6

e62f17c6ed8f1978d29d5ef001beaaf18b742277

40

py

Python

app/views/users/performance/__init__.py

dandye/DjanGoat

72beb30afe3ddd5b31ce74a5d3b9da61d2c5df1d

[ "MIT" ]

65

2017-08-18T15:12:03.000Z

2021-08-14T16:50:07.000Z

app/views/users/performance/__init__.py

dandye/DjanGoat

72beb30afe3ddd5b31ce74a5d3b9da61d2c5df1d

[ "MIT" ]

83

2017-11-28T21:45:20.000Z

2021-11-02T18:52:52.000Z

app/views/users/performance/__init__.py

dandye/DjanGoat

72beb30afe3ddd5b31ce74a5d3b9da61d2c5df1d

[ "MIT" ]

71

2017-08-17T14:58:01.000Z

2022-02-02T17:09:49.000Z

import app.views.users.performance.urls

20

39

0.85

6

40

5.666667

1

0

0.05

40

1

40

0.894737

0

1

0

true

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1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

0517eeffd2f2788470f31231fd6f897edf2068aa

21

py

Python

Modules/vms/dcdef/dcdef.py

vmssoftware/cpython

b5d2c7f578d33963798a02ca32f0c151c908aa7c

[ "0BSD" ]

2

2021-10-06T15:46:53.000Z

2022-01-26T02:58:54.000Z

Modules/vms/dcdef/dcdef.py

vmssoftware/cpython

b5d2c7f578d33963798a02ca32f0c151c908aa7c

[ "0BSD" ]

null

Modules/vms/dcdef/dcdef.py

vmssoftware/cpython

b5d2c7f578d33963798a02ca32f0c151c908aa7c

[ "0BSD" ]

null

from _dcdef import *

10.5

20

0.761905

3

21

5

1

0

0.190476

21

1

21

0.882353

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

053e35a804317d308847cf6413beadc29da11824

132

py

Python

testingScripts/sorting.py

REIGNjs/Lithops-Thumbnails-CodeEngine

5ec93924acb85123db6076341813972e71233d9a

[ "MIT" ]

1

2021-10-16T11:22:22.000Z

testingScripts/sorting.py

REIGNjs/Lithops-Thumbnails-CodeEngine

5ec93924acb85123db6076341813972e71233d9a

[ "MIT" ]

null

testingScripts/sorting.py

REIGNjs/Lithops-Thumbnails-CodeEngine

5ec93924acb85123db6076341813972e71233d9a

[ "MIT" ]

null

import io import time from lithops import Storage from lithops.multiprocessing import Pool if __name__ == '__main__': print()

14.666667

40

0.765152

17

132

5.470588

0.705882

0.236559

0

0.174242

132

9

41

14.666667

0.853211

0

0.06015

0

1

0

true

0

0.666667

0

0.666667

0.166667

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

559ac31c365ab592d75ee60e7ea389a6de4f80f4

198

py

Python

patly_backend/app/admin.py

CodeChefVIT/CHAI-KA-DOOBA-BISCUIT

12c4ec075290bac776ce063d23077708bd1f31fa

[ "MIT" ]

null

patly_backend/app/admin.py

CodeChefVIT/CHAI-KA-DOOBA-BISCUIT

12c4ec075290bac776ce063d23077708bd1f31fa

[ "MIT" ]

null

patly_backend/app/admin.py

CodeChefVIT/CHAI-KA-DOOBA-BISCUIT

12c4ec075290bac776ce063d23077708bd1f31fa

[ "MIT" ]

null

from django.contrib import admin from app.models import * # Register your models here. admin.site.register(DLUser) admin.site.register(PoolUsers) admin.site.register(Pool) admin.site.register(Jobs)

24.75

32

0.808081

29

198

5.517241

0.517241

0.225

0.425

0

0.085859

198

8

33

24.75

0.883978

0.131313

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

55a9702cbe92b0bd681a9070e198479e0d496910

44

py

Python

tests/t74.py

jplevyak/pyc

9f4bc49be78ba29427841460945ce63826fcd857

[ "BSD-3-Clause" ]

3

2019-08-21T22:01:35.000Z

2021-07-25T00:21:28.000Z

tests/t74.py

jplevyak/pyc

9f4bc49be78ba29427841460945ce63826fcd857

[ "BSD-3-Clause" ]

null

tests/t74.py

jplevyak/pyc

9f4bc49be78ba29427841460945ce63826fcd857

[ "BSD-3-Clause" ]

null

x = [' '] * 3 print x y = [ 1 ] * 4 print y

8.8

13

0.386364

9

44

1.888889

0.666667

0

0.111111

0.386364

44

4

14

11

0.518519

0

0.022727

0

null

0

null

0.5

1

null

0

1

0

null

0

1

0

1

0

6

55b0c3492ea9b9f3b1887d4ab145650c1578d2dd

261

py

Python

pymtl3_net/ringnet/test/RingNetworkCL_test.py

cornell-brg/ocn-posh

7f8bfd800627364cfc37dc5d6a36333ee2e48c99

[ "BSD-3-Clause" ]

3

2019-06-07T13:27:06.000Z

2019-07-16T19:00:23.000Z

pymtl3_net/ringnet/test/RingNetworkCL_test.py

cornell-brg/ocn-posh

7f8bfd800627364cfc37dc5d6a36333ee2e48c99

[ "BSD-3-Clause" ]

12

2019-07-23T02:29:31.000Z

2019-07-25T11:07:00.000Z

pymtl3_net/ringnet/test/RingNetworkCL_test.py

cornell-brg/posh-ocn

7f8bfd800627364cfc37dc5d6a36333ee2e48c99

[ "BSD-3-Clause" ]

null

""" ========================================================================= MeshNetworkRTL_test.py ========================================================================= Test for NetworkRTL TODO: re-implement Author : Yanghui Ou Date : May 19, 2019 """

23.727273

73

0.310345

16

261

5

0.9375

0

0.025105

0.084291

261

10

74

26.1

0.309623

0.965517

0

null

0

null

0

null

1

0

0.1

null

1

null

true

0

null

1

0

null

0

1

0

null

1

0

1

0

1

0

6

e9d451e7d38b3c85c32f1ad69d4ac7eb849b516b

72

py

Python

tools/kbpy/scripts/test.py

yuliu2016/knotbook

122488c0a71c69551dbdf3903634b9ca0a7e9fc1

[ "MIT" ]

null

tools/kbpy/scripts/test.py

yuliu2016/knotbook

122488c0a71c69551dbdf3903634b9ca0a7e9fc1

[ "MIT" ]

16

2019-08-22T23:39:15.000Z

2019-10-28T20:27:02.000Z

tools/kbpy/scripts/test.py

yuliu2016/knotbook

122488c0a71c69551dbdf3903634b9ca0a7e9fc1

[ "MIT" ]

null

from rtlib import script_context with script_context() as ctx: pass

18

32

0.777778

11

72

4.909091

0.818182

0.481481

0

0.180556

72

4

33

18

0.915254

0

1

0

true

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

6

75a6af9b4e09abf7b1e7a1aafa346e88c23417c4

102

py

Python

rasa_chinese_service/core/policies/__init__.py

lhr0909/rasa_chinese_service

3ea96c3f2b5af94aeb06a47621ca3a4c3c3368a9

[ "Apache-2.0" ]

null

rasa_chinese_service/core/policies/__init__.py

lhr0909/rasa_chinese_service

3ea96c3f2b5af94aeb06a47621ca3a4c3c3368a9

[ "Apache-2.0" ]

null

rasa_chinese_service/core/policies/__init__.py

lhr0909/rasa_chinese_service

3ea96c3f2b5af94aeb06a47621ca3a4c3c3368a9

[ "Apache-2.0" ]

1

2021-10-04T05:52:43.000Z

from rasa_chinese_service.core.policies.stacked_bilstm_tf_policy import StackedBilstmTensorFlowPolicy

51

101

0.931373

12

102

7.5

1

0

0.039216

102

1

102

0.918367

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

1

0

6

75af755d6b602f11b67d79eb983fabc5ed1f9997

20

py

Python

pyFM/FMN/__init__.py

Yang-L1/pyFM

bfc9cf58da81441c13dbfe0645872e82b6038521

[ "MIT" ]

35

2020-09-10T14:27:37.000Z

2022-03-30T02:39:18.000Z

pyFM/FMN/__init__.py

Yang-L1/pyFM

bfc9cf58da81441c13dbfe0645872e82b6038521

[ "MIT" ]

2

2020-12-01T07:30:24.000Z

2020-12-03T08:19:57.000Z

pyFM/FMN/__init__.py

Yang-L1/pyFM

bfc9cf58da81441c13dbfe0645872e82b6038521

[ "MIT" ]

3

2021-02-15T10:56:23.000Z

2021-12-27T07:31:15.000Z

from .FMN import FMN

20

0.8

4

20

4

0.75

0

0.15

20

1

20

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

75e1ccbbc800745f0feb22c9259be8118d049f3a

187

py

Python

layers/__init__.py

inflation/wgan

a546251fd4c825a95e075fea0dac7abe301b0b81

[ "MIT" ]

2

2017-03-12T07:55:35.000Z

2019-12-04T06:09:10.000Z

layers/__init__.py

inflation/wgan

a546251fd4c825a95e075fea0dac7abe301b0b81

[ "MIT" ]

null

layers/__init__.py

inflation/wgan

a546251fd4c825a95e075fea0dac7abe301b0b81

[ "MIT" ]

null

from .activation import leaky_relu from .connection import conv2d, conv2d_trans, linear from .normalizer import BatchNorm __all__ = [leaky_relu, conv2d, conv2d_trans, linear, BatchNorm]

31.166667

63

0.818182

24

187

6.041667

0.5

0.124138

0.234483

0.317241

0

0.024242

0.117647

187

5

64

37.4

0.854545

0

1

0

false

0

0.75

0

0.75

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

75f556fcec598ccf84d85e39f58873752526f9c8

140

py

Python

tests/Keywords.py

cwiki-us-docs/python-tutorials

3986a5c63606b50d0b765cc8405268473a0824db

[ "BSD-2-Clause" ]

1

2021-03-05T20:32:01.000Z

tests/Keywords.py

cwiki-us-docs/python-tutorials

3986a5c63606b50d0b765cc8405268473a0824db

[ "BSD-2-Clause" ]

null

tests/Keywords.py

cwiki-us-docs/python-tutorials

3986a5c63606b50d0b765cc8405268473a0824db

[ "BSD-2-Clause" ]

null

# Print Python keyword List. # Author - https://www.ossez.com import keyword import json print(keyword.kwlist) print(len(keyword.kwlist))

15.555556

32

0.757143

20

140

5.3

0.65

0.245283

0

0.121429

140

8

33

17.5

0.861789

0.407143

0

1

0

true

0

0.5

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

f92f97a5ffdf579598d27a8e3cc39a9cafb25a80

70

py

Python

inverted_index/__init__.py

chachazhu/inverted-index.py

b9bf6738ed84db0a853b4ccbb780dd59cbd6d06e

[ "MIT" ]

null

inverted_index/__init__.py

chachazhu/inverted-index.py

b9bf6738ed84db0a853b4ccbb780dd59cbd6d06e

[ "MIT" ]

null

inverted_index/__init__.py

chachazhu/inverted-index.py

b9bf6738ed84db0a853b4ccbb780dd59cbd6d06e

[ "MIT" ]

1

2021-04-26T22:07:33.000Z

from dotenv import find_dotenv, load_dotenv load_dotenv(find_dotenv())

35

43

0.857143

11

70

5.090909

0.454545

0.357143

0.571429

0

0.071429

70

2

44

35

0.861538

0

1

0

true

0

0.5

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f94a3d130f45dbc645ab523ffbd7e8d76b4cfeb0

48

py

Python

zabanshenas/__init__.py

m3hrdadfi/zabanshenas

af105f8de5b25ae6f5690845ff74d98f0591daf4

[ "Apache-2.0" ]

16

2021-02-14T14:35:01.000Z

2022-03-10T22:25:51.000Z

zabanshenas/__init__.py

m3hrdadfi/zabanshenas

af105f8de5b25ae6f5690845ff74d98f0591daf4

[ "Apache-2.0" ]

1

2021-02-14T17:28:05.000Z

2022-01-16T08:05:10.000Z

zabanshenas/__init__.py

m3hrdadfi/zabanshenas

af105f8de5b25ae6f5690845ff74d98f0591daf4

[ "Apache-2.0" ]

1

2021-12-17T07:10:48.000Z

from zabanshenas.zabanshenas import Zabanshenas

24

47

0.895833

5

48

8.6

0.6

0

0.083333

48

1

48

0.977273

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

f99a29a51715afa77c3345b5f56f8b6db2c54d68

140

py

Python

characterize/sample_program/second/definitions.py

arpheno/characterize

661bd38fd758cd660a3b2aa706c60a431796eaa3

[ "MIT" ]

null

characterize/sample_program/second/definitions.py

arpheno/characterize

661bd38fd758cd660a3b2aa706c60a431796eaa3

[ "MIT" ]

null

characterize/sample_program/second/definitions.py

arpheno/characterize

661bd38fd758cd660a3b2aa706c60a431796eaa3

[ "MIT" ]

null

from urllib2 import urlopen def a(something,somethingelse): return something+somethingelse def c(url): return urlopen(url).read()

17.5

34

0.75

18

140

5.833333

0.666667

0.419048

0

0.008475

0.157143

140

7

35

20

0.881356

0

1

0.4

false

0

0.2

0.4

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

6

f9b4259720cc053133dad5b7f78e7858dc1f06b3

4,539

py

Python

wins/tests/test_email_command.py

uktrade/export-wins-data

46caa444812e89abe504bec8c15aa7f7ba1a247e

[ "MIT" ]

5

2016-09-12T12:52:45.000Z

2020-03-24T14:43:13.000Z

wins/tests/test_email_command.py

uktrade/export-wins-data

46caa444812e89abe504bec8c15aa7f7ba1a247e

[ "MIT" ]

435

2016-10-18T12:51:39.000Z

2021-06-09T17:22:08.000Z

wins/tests/test_email_command.py

uktrade/export-wins-data

46caa444812e89abe504bec8c15aa7f7ba1a247e

[ "MIT" ]

2

2016-12-06T10:37:21.000Z

2017-02-22T17:27:43.000Z

import datetime from django.core.management import call_command from django.test import TestCase from wins.factories import WinFactory from wins.models import Win, Notification class CommandsTestCase(TestCase): """ Testing email_blast Django management command """ def _call_command(self): args = [] opts = {} call_command('email_blast', *args, **opts) def test_no_wins(self): self._call_command() def test_new_win(self): WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=datetime.datetime.now(), complete=True, ) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 1) def test_win_older_than_7_days(self): old_date = datetime.date.today() - datetime.timedelta(days=8) WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=old_date, complete=True, ) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 0) def test_win_border_check_7_days(self): old_date = datetime.date.today() - datetime.timedelta(days=7) WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=old_date, complete=True, ) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 1) def test_win_with_1_notifications(self): old_date = datetime.date.today() - datetime.timedelta(days=6) win = WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=old_date, complete=True, ) notification = Notification( win=win, user=win.user, recipient=win.customer_email_address, type=Notification.TYPE_CUSTOMER, ) notification.save() self.assertTrue(win.notifications.count(), 1) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 2) def test_win_with_2_notifications(self): old_date = datetime.date.today() - datetime.timedelta(days=6) win = WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=old_date, complete=True, ) for _ in range(1): notification = Notification( win=win, user=win.user, recipient=win.customer_email_address, type=Notification.TYPE_CUSTOMER, ) notification.save() self.assertTrue(win.notifications.count(), 2) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 3) def test_win_with_3_notifications(self): old_date = datetime.date.today() - datetime.timedelta(days=6) win = WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=old_date, complete=True, ) for _ in range(2): notification = Notification( win=win, user=win.user, recipient=win.customer_email_address, type=Notification.TYPE_CUSTOMER, ) notification.save() self.assertTrue(win.notifications.count(), 3) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 4) def test_win_with_4_notifications_no_more_email(self): old_date = datetime.date.today() - datetime.timedelta(days=6) win = WinFactory( id='6e18a056-1a25-46ce-a4bb-0553a912706d', date=old_date, complete=True, ) for _ in range(3): notification = Notification( win=win, user=win.user, recipient=win.customer_email_address, type=Notification.TYPE_CUSTOMER, ) notification.save() self.assertTrue(win.notifications.count(), 4) self._call_command() win = Win.objects.get(id='6e18a056-1a25-46ce-a4bb-0553a912706d') self.assertTrue(win.notifications.count(), 4)

34.915385

72

0.600132

490

4,539

5.391837

0.140816

0.05299

0.074186

0.095382

0.828539

0.826268

0.8081

0

0.103727

0.290593

4,539

129

73

35.186047

0.71677

0.009914

0

0.689655

0

0.114802

0.11235

0

0.094828

1

0.077586

false

0

0.043103

0

0.12931

0

null

0

1

0

null

0

6

fb38b2638983ed672194e2d6e575c046951a0c40

27,095

py

Python

embedding.py

vid-koci/KBCtransferlearning

57faabf21bbfa92068a36708c352cfab0071a22f

[ "MIT" ]

13

2021-09-03T03:18:57.000Z

2022-02-18T05:22:09.000Z

embedding.py

vid-koci/KBCtransferlearning

57faabf21bbfa92068a36708c352cfab0071a22f

[ "MIT" ]

1

2022-02-21T08:42:04.000Z

2022-02-21T09:47:37.000Z

embedding.py

vid-koci/KBCtransferlearning

57faabf21bbfa92068a36708c352cfab0071a22f

[ "MIT" ]

1

2021-10-17T09:04:20.000Z

import torch import torch.nn as nn import torch.nn.functional as F import numpy as np from bisect import bisect_left import encoder import random import tqdm class ConvE(nn.Module): def __init__(self, data, rel_encoder, ent_encoder, dimension=300, dropout=0.1): super(ConvE,self).__init__() self.data = data self.dimension = dimension self.dropout = dropout self.rel_encoder = rel_encoder self.ent_encoder = ent_encoder self.inp_drop = nn.Dropout(self.dropout) self.hidden_drop = nn.Dropout(self.dropout) self.feature_map_drop = torch.nn.Dropout2d(self.dropout) self.conv1 = nn.Conv2d(1,32,(3,3))#Exact architecture follows Gupta et al, CaRe model self.bn0 = nn.BatchNorm2d(1) self.bn1 = nn.BatchNorm2d(32) self.bn2 = nn.BatchNorm1d(self.dimension) self.register_parameter('b',nn.Parameter(torch.zeros(len(self.data.list_of_ent)))) if self.dimension==300: self.fc = nn.Linear(16128,self.dimension) else: #assuming dim=500 self.fc = nn.Linear(27968,self.dimension) def forward(self, pairs):#given a batch of <head,rel> pairs (as text), return their embeddings head_enc, head_len = self.ent_encoder.prepare_batch([t[0] for t in pairs]) if self.dimension==300: head_emb = self.ent_encoder.forward(head_enc,head_len).view(-1,1,15,20) else: #assuming dim==500 head_emb = self.ent_encoder.forward(head_enc,head_len).view(-1,1,20,25) rel_enc, rel_len = self.rel_encoder.prepare_batch([t[1] for t in pairs]) if self.dimension==300: rel_emb = self.rel_encoder.forward(rel_enc,rel_len).view(-1,1,15,20) else: rel_emb = self.rel_encoder.forward(rel_enc,rel_len).view(-1,1,20,25) stacked_inputs = torch.cat([head_emb,rel_emb],2) stacked_inputs = self.bn0(stacked_inputs) x = self.inp_drop(stacked_inputs) x = self.conv1(x) x = self.bn1(x) x = F.relu(x) x = self.feature_map_drop(x) x = x.view(x.shape[0], -1) x = self.fc(x) x = self.hidden_drop(x) x = self.bn2(x) x = F.relu(x) return x def trip2text(self,trips):#turns a list of triples with IDs to <head, rel> pairs and <tail, rel^-1> pairs as text return [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in trips]+[[self.data.id2ent[t[2]],"inverse of "+self.data.id2rel[t[1]]] for t in trips] def batch_loss(self, batch, only_batch_negative = False):#given a batch (triples as IDs), compute loss (both directions) if only_batch_negative flag is positive, only candidates in the batch will be used as negative examples if only_batch_negative: negative_tail = list(set([x[0] for x in batch]+[x[2] for x in batch])) else: negative_tail = self.data.list_of_ent all_tail_texts = [self.data.id2ent[ent] for ent in negative_tail] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_tail_texts) tail_emb = self.ent_encoder.forward(tail_enc,tail_len) mapped_embs = self.forward(self.trip2text(batch)) scores = torch.mm(mapped_embs, tail_emb.transpose(1,0)) if only_batch_negative: scores += self.b.index_select(0,torch.LongTensor(negative_tail).to(scores.device)).expand_as(scores) else: scores += self.b.expand_as(scores) expected_tail_ids = torch.LongTensor( [negative_tail.index(triple[2]) for triple in batch]+ [negative_tail.index(triple[0]) for triple in batch]).to(scores.device) return F.cross_entropy(scores,expected_tail_ids) def get_rank(self, triples, filtered, evalTail=True):#given a list of triples and filtered heads/tails (all as IDs), eval them but take advantage of memoization. For eval only. filtered_clusts = [] for f_list in filtered: f_clusts = set(self.data.ent2cluster[x] for x in f_list) if not self.data.canonicalized: all_filtered = [x for x in self.data.list_of_ent if self.data.ent2cluster[x] in f_clusts] else: all_filtered = [x for x in f_clusts] filtered_clusts.append(sorted(all_filtered)) correct_positions = [] for trip in triples: cluster = self.data.ent2cluster[trip[2 if evalTail else 0]] if not self.data.canonicalized: pos_in_cluster = [self.data.list_of_ent.index(x) for x in self.data.list_of_ent if self.data.ent2cluster[x]==cluster] correct_positions.append(pos_in_cluster) else: correct_positions.append([cluster]) ranks = [] if evalTail: input_text = [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in triples] else: input_text = [[self.data.id2ent[t[2]],"inverse of "+self.data.id2rel[t[1]]] for t in triples] mapped_embs = self.forward(input_text) #Let us get the scores of correct answers for each input correct_scores = [] for i in range(len(mapped_embs)): all_correct_texts = [self.data.id2ent[ent] for ent in correct_positions[i]] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_correct_texts) correct_emb_mat = self.ent_encoder.forward(tail_enc,tail_len) scores = torch.mm(mapped_embs[i].view(1,-1),correct_emb_mat.transpose(1,0)) scores += self.b.index_select(0,torch.LongTensor(correct_positions[i]).to(scores.device)) scores = scores.cpu() correct_scores.append(torch.max(scores)) ranks = [1]*len(mapped_embs) eval_batch_size=1000 for i in range(0,len(self.data.id2ent),eval_batch_size):#evaluate all candidates in batches of 10k ent_texts = [self.data.id2ent[ent] for ent in range(i,min(i+eval_batch_size,len(self.data.id2ent)))] tail_enc, tail_len = self.ent_encoder.prepare_batch(ent_texts) tail_emb_mat = self.ent_encoder.forward(tail_enc,tail_len) scores = torch.mm(mapped_embs,tail_emb_mat.transpose(1,0)) scores += self.b.narrow(0,i,len(ent_texts)).expand_as(scores) scores = scores.detach().cpu() for j in range(len(ranks)): l,r = bisect_left(filtered_clusts[j],i),bisect_left(filtered_clusts[j],i+eval_batch_size) for target in filtered_clusts[j][l:r]: scores[j][target-i]=-1e9 ranks[j]+=torch.sum(scores[j]>correct_scores[j]).numpy() return ranks class TuckER(nn.Module): def __init__(self, data, rel_encoder, ent_encoder, dimension=300, dropout=0.1): super(TuckER,self).__init__() self.data = data self.dimension = dimension self.dropout = dropout self.rel_encoder = rel_encoder self.ent_encoder = ent_encoder self.W = nn.Parameter(torch.zeros([dimension,dimension,dimension], dtype=torch.float, requires_grad=True)) nn.init.xavier_uniform_(self.W) self.input_drop = nn.Dropout(self.dropout) self.hidden_drop1 = nn.Dropout(self.dropout) self.hidden_drop2 = nn.Dropout(self.dropout) self.bn0 = nn.BatchNorm1d(dimension) self.bn1 = nn.BatchNorm1d(dimension) def forward(self, pairs):#given a batch of <head,rel> pairs (as text), return their embeddings head_enc, head_len = self.ent_encoder.prepare_batch([t[0] for t in pairs]) head_emb = self.ent_encoder.forward(head_enc,head_len).view(-1,self.dimension) rel_enc, rel_len = self.rel_encoder.prepare_batch([t[1] for t in pairs]) rel_emb = self.rel_encoder.forward(rel_enc,rel_len).view(-1,self.dimension) x = self.bn0(head_emb) x = self.input_drop(x) x = x.view(-1, 1, head_emb.size(1)) W_mat = torch.mm(rel_emb,self.W.view(rel_emb.size(1),-1)) W_mat = W_mat.view(-1,head_emb.size(1),head_emb.size(1)) W_mat = self.hidden_drop1(W_mat) x = torch.bmm(x,W_mat) x = x.view(-1,head_emb.size(1)) x = self.bn1(x) x = self.hidden_drop2(x) return x def trip2text(self,trips):#turns a list of triples with IDs to <head, rel> pairs and <tail, rel^-1> pairs as text return [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in trips]+[[self.data.id2ent[t[2]],"inverse of "+self.data.id2rel[t[1]]] for t in trips] def batch_loss(self, batch, only_batch_negative = False):#given a batch (triples as IDs), compute loss (both directions) if only_batch_negative flag is positive, only candidates in the batch will be used as negative examples if only_batch_negative: negative_tail = list(set([x[0] for x in batch]+[x[2] for x in batch])) else: negative_tail = self.data.list_of_ent all_tail_texts = [self.data.id2ent[ent] for ent in negative_tail] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_tail_texts) tail_emb = self.ent_encoder.forward(tail_enc,tail_len) mapped_embs = self.forward(self.trip2text(batch)) scores = torch.mm(mapped_embs, tail_emb.transpose(1,0)) expected_tail_ids = torch.LongTensor( [negative_tail.index(triple[2]) for triple in batch]+ [negative_tail.index(triple[0]) for triple in batch]).to(scores.device) return F.cross_entropy(scores,expected_tail_ids) def get_rank(self, triples, filtered, evalTail=True):#given a list of triples and filtered heads/tails (all as IDs), eval them but take advantage of memoization. For eval only. filtered_clusts = [] for f_list in filtered: f_clusts = set(self.data.ent2cluster[x] for x in f_list) if not self.data.canonicalized: all_filtered = [x for x in self.data.list_of_ent if self.data.ent2cluster[x] in f_clusts] else: all_filtered = [x for x in f_clusts] filtered_clusts.append(sorted(all_filtered)) correct_positions = [] for trip in triples: cluster = self.data.ent2cluster[trip[2 if evalTail else 0]] if not self.data.canonicalized: pos_in_cluster = [self.data.list_of_ent.index(x) for x in self.data.list_of_ent if self.data.ent2cluster[x]==cluster] correct_positions.append(pos_in_cluster) else: correct_positions.append([cluster]) ranks = [] if evalTail: input_text = [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in triples] else: input_text = [[self.data.id2ent[t[2]],"inverse of "+self.data.id2rel[t[1]]] for t in triples] mapped_embs = self.forward(input_text) #Let us get the scores of correct answers for each input correct_scores = [] for i in range(len(mapped_embs)): all_correct_texts = [self.data.id2ent[ent] for ent in correct_positions[i]] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_correct_texts) correct_emb_mat = self.ent_encoder.forward(tail_enc,tail_len) scores = torch.mm(mapped_embs[i].view(1,-1),correct_emb_mat.transpose(1,0)) scores = scores.cpu() correct_scores.append(torch.max(scores)) ranks = [1]*len(mapped_embs) eval_batch_size=1000 for i in range(0,len(self.data.id2ent),eval_batch_size):#evaluate all candidates in batches of 1k ent_texts = [self.data.id2ent[ent] for ent in range(i,min(i+eval_batch_size,len(self.data.id2ent)))] tail_enc, tail_len = self.ent_encoder.prepare_batch(ent_texts) tail_emb_mat = self.ent_encoder.forward(tail_enc,tail_len) scores = torch.mm(mapped_embs,tail_emb_mat.transpose(1,0)).detach().cpu() for j in range(len(ranks)): l,r = bisect_left(filtered_clusts[j],i),bisect_left(filtered_clusts[j],i+eval_batch_size) for target in filtered_clusts[j][l:r]: scores[j][target-i]=-1e9 ranks[j]+=torch.sum(scores[j]>correct_scores[j]).numpy() return ranks class FiveStarE(nn.Module): def __init__(self, data, rel_encoder, ent_encoder, dimension=200, regularization = 0.1): super(FiveStarE,self).__init__() self.data = data self.dimension = dimension self.rel_encoder = rel_encoder self.ent_encoder = ent_encoder self.regularization = regularization def forward(self, pairs):#given a batch of <head,rel> pairs (as text), return their embeddings head_enc, head_len = self.ent_encoder.prepare_batch([t[0] for t in pairs]) head_emb = self.ent_encoder.forward(head_enc,head_len).view(-1,self.dimension*2) rel_enc, rel_len = self.rel_encoder.prepare_batch([t[1] for t in pairs]) rel_emb = self.rel_encoder.forward(rel_enc,rel_len).view(-1,self.dimension*8) head_re, head_im = head_emb[:,:self.dimension], head_emb[:,self.dimension:] rel_re_a,rel_im_a,rel_re_b,rel_im_b,rel_re_c,rel_im_c,rel_re_d,rel_im_d = rel_emb[:,:self.dimension],rel_emb[:,self.dimension:2*self.dimension],rel_emb[:,2*self.dimension:3*self.dimension],rel_emb[:,3*self.dimension:4*self.dimension],rel_emb[:,4*self.dimension:5*self.dimension],rel_emb[:,5*self.dimension:6*self.dimension],rel_emb[:,6*self.dimension:7*self.dimension],rel_emb[:,7*self.dimension:] score_re_a = head_re * rel_re_a - head_im * rel_im_a score_im_a = head_re * rel_im_a + head_im * rel_re_a #ah+b score_re_top = score_re_a + rel_re_b score_im_top = score_im_a + rel_im_b #ch score_re_c = head_re * rel_re_c - head_im * rel_im_c score_im_c = head_re * rel_im_c + head_im * rel_re_c #ch+d score_re_dn = score_re_c + rel_re_d score_im_dn = score_im_c + rel_im_d #(ah+b)Conj(ch+d) dn_re = torch.sqrt(score_re_dn * score_re_dn+score_im_dn*score_im_dn) up_re = torch.div(score_re_top * score_re_dn + score_im_top * score_im_dn, dn_re) up_im = torch.div(score_re_top * score_im_dn - score_im_top * score_re_dn, dn_re) #For regularization, head embeddings are multiplied by 2 because the same embeddings also appear as tails. reg_weight = self.regularization*torch.sum(2*(head_re**2+head_im**2)**1.5 + (rel_re_a**2+rel_im_a**2+rel_re_b**2+rel_im_b**2+rel_re_c**2+rel_im_c**2+rel_re_d**2+rel_im_d**2)**1.5)/len(pairs) return (up_re,up_im,reg_weight) def trip2text(self,trips):#turns a list of triples with IDs to <head, rel> pairs and <tail, rel^-1> pairs as text return [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in trips]+[[self.data.id2ent[t[2]],"inverse of "+self.data.id2rel[t[1]]] for t in trips] def batch_loss(self, batch, only_batch_negative = False):#given a batch (triples as IDs), compute loss (both directions) if only_batch_negative flag is positive, only candidates in the batch will be used as negative examples if only_batch_negative: negative_tail = list(set([x[0] for x in batch]+[x[2] for x in batch])) else: negative_tail = self.data.list_of_ent all_tail_texts = [self.data.id2ent[ent] for ent in negative_tail] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_tail_texts) tail_emb = self.ent_encoder.forward(tail_enc,tail_len) tail_re, tail_im = tail_emb[:,:self.dimension], tail_emb[:,self.dimension:] up_re, up_im, reg_weight = self.forward(self.trip2text(batch)) scores = up_re @ tail_re.transpose(0,1) + up_im @ tail_im.transpose(0,1) expected_tail_ids = torch.LongTensor( [negative_tail.index(triple[2]) for triple in batch]+ [negative_tail.index(triple[0]) for triple in batch]).to(scores.device) return F.cross_entropy(scores,expected_tail_ids)+reg_weight def get_rank(self, triples, filtered, evalTail=True):#given a list of triples and filtered heads/tails (all as IDs), eval them but take advantage of memoization. For eval only. filtered_clusts = [] for f_list in filtered: f_clusts = set(self.data.ent2cluster[x] for x in f_list) if not self.data.canonicalized: all_filtered = [x for x in self.data.list_of_ent if self.data.ent2cluster[x] in f_clusts] else: all_filtered = [x for x in f_clusts] filtered_clusts.append(sorted(all_filtered)) correct_positions = [] for trip in triples: cluster = self.data.ent2cluster[trip[2 if evalTail else 0]] if not self.data.canonicalized: pos_in_cluster = [self.data.list_of_ent.index(x) for x in self.data.list_of_ent if self.data.ent2cluster[x]==cluster] correct_positions.append(pos_in_cluster) else: correct_positions.append([cluster]) ranks = [] if evalTail: input_text = [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in triples] else: input_text = [[self.data.id2ent[t[2]],"inverse of "+self.data.id2rel[t[1]]] for t in triples] up_re,up_im,_ = self.forward(input_text) #Let us get the scores of correct answers for each input correct_scores = [] for i in range(len(up_re)): all_correct_texts = [self.data.id2ent[ent] for ent in correct_positions[i]] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_correct_texts) correct_emb_mat = self.ent_encoder.forward(tail_enc,tail_len) correct_re, correct_im = correct_emb_mat[:,:self.dimension], correct_emb_mat[:,self.dimension:] scores = up_re[i].view(1,-1) @ correct_re.transpose(0,1) + up_im[i].view(1,-1) @ correct_im.transpose(0,1) scores = scores.detach().cpu() correct_scores.append(torch.max(scores)) ranks = [1]*len(up_re) eval_batch_size=1000 for i in range(0,len(self.data.id2ent),eval_batch_size):#evaluate all candidates in batches of 10k ent_texts = [self.data.id2ent[ent] for ent in range(i,min(i+eval_batch_size,len(self.data.id2ent)))] tail_enc, tail_len = self.ent_encoder.prepare_batch(ent_texts) tail_emb_mat = self.ent_encoder.forward(tail_enc,tail_len) tail_re, tail_im = tail_emb_mat[:,:self.dimension], tail_emb_mat[:,self.dimension:] scores = (up_re @ tail_re.transpose(0,1) + up_im @ tail_im.transpose(0,1)).detach().cpu() for j in range(len(ranks)): l,r = bisect_left(filtered_clusts[j],i),bisect_left(filtered_clusts[j],i+eval_batch_size) for target in filtered_clusts[j][l:r]: scores[j][target-i]=-1e9 ranks[j]+=torch.sum(scores[j]>correct_scores[j]).numpy() return ranks class BoxE(nn.Module): def __init__(self, data, rel_encoder, ent_encoder, dimension=300, neg_examples = 100, margin=9.0): super(BoxE,self).__init__() self.data = data self.dimension = dimension #it is assumed that entity encoder gives outputs of size 2*dimension, e,b concatenated #it is assumed that relation encoder gives outputs of size 4*dimension c1,s1,c2,s2 concatenated self.rel_encoder = rel_encoder self.ent_encoder = ent_encoder self.neg_examples = neg_examples self.margin = margin def forward(self, head, rel, tail, evalTail = True):#given a batch of embedded <head,rel,tail> return their scores if evalTail: e = torch.narrow(tail,1,0,self.dimension)+torch.narrow(head,1,self.dimension,self.dimension) else: e = torch.narrow(head,1,0,self.dimension)+torch.narrow(tail,1,self.dimension,self.dimension) if evalTail: c = torch.narrow(rel,1,2*self.dimension,self.dimension) s = torch.narrow(rel,1,3*self.dimension,self.dimension) else: c = torch.narrow(rel,1,0,self.dimension) s = torch.narrow(rel,1,self.dimension,self.dimension) l_placeholder = c-s/2 u_placeholder = c+s/2 l = torch.min(l_placeholder,u_placeholder) u = torch.max(l_placeholder,u_placeholder) w = u-l+1 kappa = 0.5*(w-1)*(w-1/w) in_box = torch.logical_and(l<=e,e<=u) return torch.norm(in_box * torch.abs(e-c)/w + torch.logical_not(in_box)*(torch.abs(e-c)*w-kappa),dim=1) def trip2text(self,trips):#turns a list of triples with IDs to <head, rel, tail> pairs as text return [[self.data.id2ent[t[0]],self.data.id2rel[t[1]],self.data.id2ent[t[2]]] for t in trips] def batch_loss(self, batch, only_batch_negative = True):#given a batch (triples as IDs), compute loss (both directions) all_triples = self.trip2text(batch) head_enc, head_len = self.ent_encoder.prepare_batch([t[0] for t in all_triples]) head_emb = self.ent_encoder.forward(head_enc,head_len).view(-1,self.dimension*2) rel_enc, rel_len = self.rel_encoder.prepare_batch([t[1] for t in all_triples]) rel_emb = self.rel_encoder.forward(rel_enc,rel_len).view(-1,self.dimension*4) tail_enc, tail_len = self.ent_encoder.prepare_batch([t[2] for t in all_triples]) tail_emb = self.ent_encoder.forward(tail_enc,tail_len).view(-1,self.dimension*2) batch_size = len(batch) if only_batch_negative: neg_emb = torch.cat([head_emb,tail_emb]) else: all_neg_texts = [self.data.id2ent[ent] for ent in self.data.list_of_ent] neg_enc, neg_len = self.ent_encoder.prepare_batch(all_neg_texts) neg_emb = self.ent_encoder.forward(neg_enc,neg_len) #eval tails positive_scores = self.forward(head_emb,rel_emb,tail_emb,evalTail=True) negative_heads = head_emb.repeat(self.neg_examples,1) negative_rels = rel_emb.repeat(self.neg_examples,1) negative_tails = neg_emb.index_select(0,torch.LongTensor(np.random.randint(len(neg_emb),size=self.neg_examples*batch_size))) negative_scores = self.forward(negative_heads,negative_rels,negative_tails,evalTail=True) loss = -torch.mean(F.logsigmoid(self.margin-positive_scores))-torch.mean(F.logsigmoid(negative_scores-self.margin)) #eval_heads positive_scores = self.forward(head_emb,rel_emb,tail_emb,evalTail=False) negative_heads = neg_emb.index_select(0,torch.LongTensor(np.random.randint(len(neg_emb),size=self.neg_examples*batch_size))) negative_tails = tail_emb.repeat(self.neg_examples,1) negative_scores = self.forward(negative_heads,negative_rels,negative_tails,evalTail=False) loss += -torch.mean(F.logsigmoid(self.margin-positive_scores))-torch.mean(F.logsigmoid(negative_scores-self.margin)) return loss/2 #divided by 2 to get the average of heads and tails def get_rank(self, triples, filtered, evalTail=True):#given a list of triples and filtered heads/tails (all as IDs), eval them. For eval only. filtered_clusts = [] for f_list in filtered: f_clusts = set(self.data.ent2cluster[x] for x in f_list) if not self.data.canonicalized: all_filtered = [x for x in self.data.list_of_ent if self.data.ent2cluster[x] in f_clusts] else: all_filtered = [x for x in f_clusts] filtered_clusts.append(sorted(all_filtered)) correct_positions = [] for trip in triples: cluster = self.data.ent2cluster[trip[2 if evalTail else 0]] if not self.data.canonicalized: pos_in_cluster = [self.data.list_of_ent.index(x) for x in self.data.list_of_ent if self.data.ent2cluster[x]==cluster] correct_positions.append(pos_in_cluster) else: correct_positions.append([cluster]) ranks = [] input_text=self.trip2text(triples) if evalTail: input_text = [[self.data.id2ent[t[0]],self.data.id2rel[t[1]]] for t in triples] else: input_text = [[self.data.id2ent[t[2]],self.data.id2rel[t[1]]] for t in triples] head_enc, head_len = self.ent_encoder.prepare_batch([t[0] for t in input_text]) head_emb = self.ent_encoder.forward(head_enc,head_len).view(-1,self.dimension*2) rel_enc, rel_len = self.rel_encoder.prepare_batch([t[1] for t in input_text]) rel_emb = self.rel_encoder.forward(rel_enc,rel_len).view(-1,self.dimension*4) #Let us get the scores of correct answers for each input correct_scores = [] for i in range(len(input_text)): all_correct_texts = [self.data.id2ent[ent] for ent in correct_positions[i]] tail_enc, tail_len = self.ent_encoder.prepare_batch(all_correct_texts) tail_emb = self.ent_encoder.forward(tail_enc,tail_len) if evalTail: scores = self.forward(torch.narrow(head_emb,0,i,1).expand(len(all_correct_texts),self.dimension*2),torch.narrow(rel_emb,0,i,1).expand(len(all_correct_texts),self.dimension*4),tail_emb,evalTail=True) else: scores = self.forward(tail_emb,torch.narrow(rel_emb,0,i,1).expand(len(all_correct_texts),self.dimension*4),torch.narrow(head_emb,0,i,1).expand(len(all_correct_texts),self.dimension*2),evalTail=False) scores = scores.cpu() correct_scores.append(torch.min(scores)) ranks = [1]*len(input_text) eval_batch_size=10 for i in tqdm.trange(0,len(self.data.id2ent),eval_batch_size,desc="computing rank"):#evaluate all candidates in batches of 10 ent_texts = [self.data.id2ent[ent] for ent in range(i,min(i+eval_batch_size,len(self.data.id2ent)))] tail_enc, tail_len = self.ent_encoder.prepare_batch(ent_texts) tail_emb = self.ent_encoder.forward(tail_enc,tail_len) batch_size = len(ent_texts) all_heads = torch.cat([torch.narrow(head_emb,0,j,1).expand(batch_size,self.dimension*2) for j in range(len(ranks))]) all_rels = torch.cat([torch.narrow(rel_emb,0,j,1).expand(batch_size,self.dimension*4) for j in range(len(ranks))]) all_tails = tail_emb.repeat(len(ranks),1) if evalTail: scores= self.forward(all_heads,all_rels,all_tails, evalTail=True) else: scores= self.forward(all_tails,all_rels,all_heads, evalTail=False) scores = torch.reshape(scores,(len(ranks),batch_size)).detach().cpu() for j in range(len(ranks)): l,r = bisect_left(filtered_clusts[j],i),bisect_left(filtered_clusts[j],i+eval_batch_size) for target in filtered_clusts[j][l:r]: scores[j][target-i]=1e9 ranks[j]+=torch.sum(scores[j]<correct_scores[j]).numpy() return ranks

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3489c52f721ebdba43226ea4085eb1b512f7c24a

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py

Python

app/api/__init__.py

Mellcap/MailSender

92d7299342afba8ad5c2ae684a0ade7169cfe300

[ "MIT" ]

null

app/api/__init__.py

Mellcap/MailSender

92d7299342afba8ad5c2ae684a0ade7169cfe300

[ "MIT" ]

null

app/api/__init__.py

Mellcap/MailSender

92d7299342afba8ad5c2ae684a0ade7169cfe300

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- from flask import Blueprint api = Blueprint('api', __name__) from app.api import email_events, email_groups, errors

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py

Python

ary/__init__.py

JeffTheK/ary

25b74593232cac372ad242ab5ee28eeff79761da

[ "MIT" ]

1

2021-12-12T09:37:15.000Z

ary/__init__.py

JeffTheK/ary

25b74593232cac372ad242ab5ee28eeff79761da

[ "MIT" ]

null

ary/__init__.py

JeffTheK/ary

25b74593232cac372ad242ab5ee28eeff79761da

[ "MIT" ]

null

from .util import add_file_from_template

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py

Python

tensor2struct/languages/ast/__init__.py

chenyangh/tensor2struct-public

d3257cba6d76d3c658a58a78f687d986bdc755cf

[ "MIT" ]

75

2021-01-07T21:29:45.000Z

2022-03-11T08:36:39.000Z

rat-sql-gap/seq2struct/datasets/__init__.py

alan-ai-learner/gap-text2sql

c90d4e039123db9c57568d1a005b19e6d35df5ea

[ "Apache-2.0" ]

27

2021-01-18T14:16:17.000Z

2022-03-28T07:37:29.000Z

rat-sql-gap/seq2struct/datasets/__init__.py

alan-ai-learner/gap-text2sql

c90d4e039123db9c57568d1a005b19e6d35df5ea

[ "Apache-2.0" ]

18

2021-04-14T07:19:56.000Z

2022-03-23T19:26:18.000Z

from . import spider

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9b6b8fbac1dae2d8ca56a4ff1db9d78d9e5b7e24

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py

Python

test.py

sinkaroid/scathach-api.py

bfa206b7b62f00ec9e3c877c96fcd35938bbd8b9

[ "MIT" ]

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2020-12-26T19:49:12.000Z

2022-03-15T19:04:29.000Z

test.py

sinkaroid/scathach-api.py

bfa206b7b62f00ec9e3c877c96fcd35938bbd8b9

[ "MIT" ]

null

test.py

sinkaroid/scathach-api.py

bfa206b7b62f00ec9e3c877c96fcd35938bbd8b9

[ "MIT" ]

4

2020-12-26T19:46:34.000Z

2021-12-14T09:18:04.000Z

import scathach print(scathach.mashu())

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9b90cf094f29ea9806906fdc75318ccf19721771

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py

Python

systemconfig/admin.py

XiaoBiaoBai/xiaobiaobai_api

409922a1406e6572c931f65be995ce12673cc0d4

[ "MIT" ]

null

systemconfig/admin.py

XiaoBiaoBai/xiaobiaobai_api

409922a1406e6572c931f65be995ce12673cc0d4

[ "MIT" ]

8

2020-06-05T18:15:44.000Z

2022-03-11T23:21:19.000Z

systemconfig/admin.py

XiaoBiaoBai/xiaobiaobai.api

409922a1406e6572c931f65be995ce12673cc0d4

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from .models import SystemConfigMode class SystemConfigAdmin(admin.ModelAdmin): pass

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py

Python

server/mainapp/__init__.py

SanahSidhu/CreepRescue

ec4233821e89fe7cb3e4c3bb486595868cbce266

[ "MIT" ]

null

server/mainapp/__init__.py

SanahSidhu/CreepRescue

ec4233821e89fe7cb3e4c3bb486595868cbce266

[ "MIT" ]

null

server/mainapp/__init__.py

SanahSidhu/CreepRescue

ec4233821e89fe7cb3e4c3bb486595868cbce266

[ "MIT" ]

null

from .back import app

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py

Python

src/modules/table3/queryDB.py

sarahyyx/paper1

bed24d4e0162641d16eeb0c7f485d942df74a453

[ "MIT" ]

null

src/modules/table3/queryDB.py

sarahyyx/paper1

bed24d4e0162641d16eeb0c7f485d942df74a453

[ "MIT" ]

6

2020-01-28T22:45:43.000Z

2022-02-10T00:09:23.000Z

src/modules/table3/queryDB.py

sarahyyx/paper1

bed24d4e0162641d16eeb0c7f485d942df74a453

[ "MIT" ]

null

from logs import logDecorator as lD import jsonref, pprint import numpy as np import pandas as pd import matplotlib.pyplot as plt import csv from psycopg2.sql import SQL, Identifier, Literal from lib.databaseIO import pgIO from collections import Counter from textwrap import wrap from tqdm import tqdm from multiprocessing import Pool config = jsonref.load(open('../config/config.json')) table3_config = jsonref.load(open('../config/modules/table3.json')) logBase = config['logging']['logBase'] + '.modules.table3.table3' @lD.log(logBase + '.addmorethan2sudcolumn') def addmorethan2sudcolumn(logger): '''Populates the 'morethan2sud' column in sarah.test4 This function counts the number of 'True' for each mental disorder for each user in sarah.test4. If they have more than 1 'True' value, their 'morethan2sud' column will be set to 'True'. Decorators: lD.log Arguments: logger {logging.Logger} -- logs error information ''' try: query = ''' SELECT t1.patientid, t2.alc, t2.cannabis, t2.amphe, t2.halluc, t2.nicotin, t2.cocaine, t2.opioids, t2.sedate, t2.others, t2.polysub, t2.inhalant FROM sarah.test2 t1 INNER JOIN sarah.test4 t2 ON t1.patientid = t2.patientid ''' data = pgIO.getAllData(query) csvfile = '../data/raw_data/morethan2suduser_keys.csv' with open(csvfile, 'w+') as output: csv_output = csv.writer(output) for row in data: if sum(list(row[1:12])) >=2: csv_output.writerow(row) output.close() with open(csvfile) as f: readCSV = csv.reader(f, delimiter=",") for user in tqdm(readCSV): updateQuery = ''' UPDATE sarah.test4 SET morethan2sud = True WHERE patientid = {} '''.format(user[0]) print(pgIO.commitData(updateQuery)) # print(type(user[0])) #Update column's null values to false updateQuery2 = ''' UPDATE sarah.test4 SET morethan2sud = False WHERE morethan2sud is null ''' print(pgIO.commitData(updateQuery2)) except Exception as e: logger.error('adding morethan2sud column to the databse failed because of {}'.format(e)) return @lD.log(logBase + '.createDF_allRaces_anySUD') def createDF_allRaces_anySUD(logger): '''Creates dataframe for total sample, dependent variable = any sud This function creates a dataframe for the total sample, where the dependent variable is any sud and the independent variables are: race, age, sex and setting. Decorators: lD.log Arguments: logger {logging.Logger} -- logs error information ''' try: query = ''' SELECT t2.sud, t1.race, t1.age, t1.sex, t1.visit_type FROM sarah.test2 t1 INNER JOIN sarah.test3 t2 ON t1.patientid = t2.patientid WHERE t1.age BETWEEN 12 AND 100 ''' data = pgIO.getAllData(query) sud_data = [d[0] for d in data] race_data = [d[1] for d in data] age_data = [d[2] for d in data] sex_data = [d[3] for d in data] setting_data = [d[4] for d in data] d = {'sud': sud_data, 'race': race_data, 'age': age_data, 'sex': sex_data, 'setting': setting_data} main = pd.DataFrame(data=d) df = main.copy() # Change sud column to binary, dummify the other columns df.replace({False:0, True:1}, inplace=True) dummy_races = pd.get_dummies(main['race']) df = df[['sud']].join(dummy_races.ix[:, 'MR':]) main.replace(to_replace=list(range(12, 18)), value="12-17", inplace=True) main.replace(to_replace=list(range(18, 35)), value="18-34", inplace=True) main.replace(to_replace=list(range(35, 50)), value="35-49", inplace=True) main.replace(to_replace=list(range(50, 100)), value="50+", inplace=True) dummy_ages = pd.get_dummies(main['age']) df = df[['sud', 'MR', 'NHPI']].join(dummy_ages.ix[:, :'35-49']) dummy_sexes = pd.get_dummies(main['sex']) df = df[['sud', 'MR', 'NHPI', '12-17', '18-34', '35-49']].join(dummy_sexes.ix[:, 'M':]) dummy_setting = pd.get_dummies(main['setting']) df = df[['sud', 'MR', 'NHPI', '12-17', '18-34', '35-49', 'M']].join(dummy_setting.ix[:, :'Hospital']) df['intercept'] = 1.0 except Exception as e: logger.error('createDF_allRaces_anySUD failed because of {}'.format(e)) return df @lD.log(logBase + '.createDF_allRaces_morethan2SUD') def createDF_allRaces_morethan2SUD(logger): '''Creates dataframe for total sample, dependent variable = more than 2 sud This function creates a dataframe for the total sample, where the dependent variable is >=2 sud and the independent variables are: race, age, sex and setting. Decorators: lD.log Arguments: logger {logging.Logger} -- logs error information ''' try: query = ''' SELECT t2.morethan2sud, t1.race, t1.age, t1.sex, t1.visit_type FROM sarah.test2 t1 INNER JOIN sarah.test4 t2 ON t1.patientid = t2.patientid WHERE t1.age BETWEEN 12 AND 100 ''' data = pgIO.getAllData(query) sud_data = [d[0] for d in data] race_data = [d[1] for d in data] age_data = [d[2] for d in data] sex_data = [d[3] for d in data] setting_data = [d[4] for d in data] d = {'sud': sud_data, 'race': race_data, 'age': age_data, 'sex': sex_data, 'setting': setting_data} main = pd.DataFrame(data=d) df = main.copy() # Change sud column to binary, dummify the other columns df.replace({False:0, True:1}, inplace=True) dummy_races = pd.get_dummies(main['race']) df = df[['sud']].join(dummy_races.ix[:, 'MR':]) main.replace(to_replace=list(range(12, 18)), value="12-17", inplace=True) main.replace(to_replace=list(range(18, 35)), value="18-34", inplace=True) main.replace(to_replace=list(range(35, 50)), value="35-49", inplace=True) main.replace(to_replace=list(range(50, 100)), value="50+", inplace=True) dummy_ages = pd.get_dummies(main['age']) df = df[['sud', 'MR', 'NHPI']].join(dummy_ages.ix[:, :'35-49']) dummy_sexes = pd.get_dummies(main['sex']) df = df[['sud', 'MR', 'NHPI', '12-17', '18-34', '35-49']].join(dummy_sexes.ix[:, 'M':]) dummy_setting = pd.get_dummies(main['setting']) df = df[['sud', 'MR', 'NHPI', '12-17', '18-34', '35-49', 'M']].join(dummy_setting.ix[:, :'Hospital']) df['intercept'] = 1.0 except Exception as e: logger.error('createDF_allRaces_morethan2SUD failed because of {}'.format(e)) return df @lD.log(logBase + '.createDF_byRace_anySUD') def createDF_byRace_anySUD(logger, race): '''Creates dataframe for a sample from a specified race, dependent variable = any sud This function creates a dataframe for a sample from a specified race, where the dependent variable is any sud and the independent variables are: age, sex and setting. Decorators: lD.log Arguments: logger {logging.Logger} -- logs error information race {str} -- 'AA', 'NHPI', or 'MR' ''' try: query = SQL(''' SELECT t2.sud, t1.age, t1.sex, t1.visit_type FROM sarah.test2 t1 INNER JOIN sarah.test3 t2 ON t1.patientid = t2.patientid WHERE t1.age BETWEEN 12 AND 100 AND t1.race = {} ''').format( Literal(race) ) data = pgIO.getAllData(query) sud_data = [d[0] for d in data] age_data = [d[1] for d in data] sex_data = [d[2] for d in data] setting_data = [d[3] for d in data] d = {'sud': sud_data, 'age': age_data, 'sex': sex_data, 'setting': setting_data} main = pd.DataFrame(data=d) df = main.copy() # Change sud column to binary, dummify the other columns df.replace({False:0, True:1}, inplace=True) main.replace(to_replace=list(range(12, 18)), value="12-17", inplace=True) main.replace(to_replace=list(range(18, 35)), value="18-34", inplace=True) main.replace(to_replace=list(range(35, 50)), value="35-49", inplace=True) main.replace(to_replace=list(range(50, 100)), value="50+", inplace=True) dummy_ages = pd.get_dummies(main['age']) df = df[['sud']].join(dummy_ages.ix[:, :'35-49']) dummy_sexes = pd.get_dummies(main['sex']) df = df[['sud', '12-17', '18-34', '35-49']].join(dummy_sexes.ix[:, 'M':]) dummy_setting = pd.get_dummies(main['setting']) df = df[['sud', '12-17', '18-34', '35-49', 'M']].join(dummy_setting.ix[:, :'Hospital']) df['intercept'] = 1.0 except Exception as e: logger.error('createDF_byRace_anySUD failed because of {}'.format(e)) return df @lD.log(logBase + '.createDF_byRace_morethan2SUD') def createDF_byRace_morethan2SUD(logger, race): '''Creates dataframe for a sample from a specified race, dependent variable = more than 2 sud This function creates a dataframe for a sample from a specified race, where the dependent variable is >=2 sud and the independent variables are: age, sex and setting. Decorators: lD.log Arguments: logger {logging.Logger} -- logs error information race {str} -- 'AA', 'NHPI', or 'MR' ''' try: query = SQL(''' SELECT t2.morethan2sud, t1.age, t1.sex, t1.visit_type FROM sarah.test2 t1 INNER JOIN sarah.test4 t2 ON t1.patientid = t2.patientid WHERE t1.age BETWEEN 12 AND 100 AND t1.race = {} ''').format( Literal(race) ) data = pgIO.getAllData(query) sud_data = [d[0] for d in data] age_data = [d[1] for d in data] sex_data = [d[2] for d in data] setting_data = [d[3] for d in data] d = {'sud': sud_data, 'age': age_data, 'sex': sex_data, 'setting': setting_data} main = pd.DataFrame(data=d) df = main.copy() # Change sud column to binary, dummify the other columns df.replace({False:0, True:1}, inplace=True) main.replace(to_replace=list(range(12, 18)), value="12-17", inplace=True) main.replace(to_replace=list(range(18, 35)), value="18-34", inplace=True) main.replace(to_replace=list(range(35, 50)), value="35-49", inplace=True) main.replace(to_replace=list(range(50, 100)), value="50+", inplace=True) dummy_ages = pd.get_dummies(main['age']) df = df[['sud']].join(dummy_ages.ix[:, :'35-49']) dummy_sexes = pd.get_dummies(main['sex']) df = df[['sud', '12-17', '18-34', '35-49']].join(dummy_sexes.ix[:, 'M':]) dummy_setting = pd.get_dummies(main['setting']) df = df[['sud', '12-17', '18-34', '35-49', 'M']].join(dummy_setting.ix[:, :'Hospital']) df['intercept'] = 1.0 except Exception as e: logger.error('createDF_byRace_morethan2SUD failed because of {}'.format(e)) return df

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1

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null

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b5cfede92d3fda8071a06563d7408ca0952a3cd1

110

py

Python

airflow_dbt/__init__.py

ayobamshy/airflow-dbt

7e3e7e99e959a912721f6e2c4b45192bd0d769be

[ "MIT" ]

null

airflow_dbt/__init__.py

ayobamshy/airflow-dbt

7e3e7e99e959a912721f6e2c4b45192bd0d769be

[ "MIT" ]

null

airflow_dbt/__init__.py

ayobamshy/airflow-dbt

7e3e7e99e959a912721f6e2c4b45192bd0d769be

[ "MIT" ]

null

from .hooks import DbtCliHook from .operators import DbtRunOperator, DbtTestOperator, DbtDocsGenerateOperator

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b5f7bacf5c2b4f678d7c8a40de51e514e7b13c75

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py

Python

cashed/__init__.py

jaemk/cashed

c86051a016e5797dfcb47c944c6eb3f15962b436

[ "MIT" ]

1

2018-11-14T15:07:04.000Z

cashed/__init__.py

jaemk/cashed

c86051a016e5797dfcb47c944c6eb3f15962b436

[ "MIT" ]

null

cashed/__init__.py

jaemk/cashed

c86051a016e5797dfcb47c944c6eb3f15962b436

[ "MIT" ]

null

from cashed.cache import cached

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null

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1

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1

0

1

0

6

bd18328fbe541a1a8eb90288f4d216ab25f2b1b2

209

py

Python

filestack/models/__init__.py

yousefiparsa/filestack-python

e1773e2254d2a451216e13ce8ecb4f69f863ac82

[ "Apache-2.0" ]

1

2019-04-09T18:49:36.000Z

filestack/models/__init__.py

yousefiparsa/filestack-python

e1773e2254d2a451216e13ce8ecb4f69f863ac82

[ "Apache-2.0" ]

null

filestack/models/__init__.py

yousefiparsa/filestack-python

e1773e2254d2a451216e13ce8ecb4f69f863ac82

[ "Apache-2.0" ]

null

from .filestack_filelink import Filelink from .filestack_client import Client from .filestack_transform import Transform from .filestack_security import security from .filestack_audiovisual import AudioVisual

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bd3865c80f0bd75797a19907ccd1621964e7fb52

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py

Python

vae/src/modules/decoders/__init__.py

ioangatop/GenerativeModels

c6924e91de475be36253f9f20b687d1e1c8b0dde

[ "MIT" ]

4

2019-12-04T06:10:23.000Z

2021-09-14T06:17:24.000Z

vae/src/modules/decoders/__init__.py

ioangatop/GenerativeModels

c6924e91de475be36253f9f20b687d1e1c8b0dde

[ "MIT" ]

null

vae/src/modules/decoders/__init__.py

ioangatop/GenerativeModels

c6924e91de475be36253f9f20b687d1e1c8b0dde

[ "MIT" ]

1

2021-09-16T21:10:12.000Z

from .decoder import Decoder from .residual_decoder import ResidualDecoder

25

45

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7.111111

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6

1fb42226fa8cac58b4e94081d55ebe8be7bacd85

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py

Python

examples/crop-pipeline/overlandflow/overlandflow_omf/__init__.py

openmodelingfoundation/meillionen

69a534699ab2ee09d720262c7a78b86e802ee9ba

[ "MIT-0" ]

1

2020-09-18T11:57:31.000Z

examples/crop-pipeline/overlandflow/overlandflow_omf/__init__.py

openmodelingfoundation/meillionen

69a534699ab2ee09d720262c7a78b86e802ee9ba

[ "MIT-0" ]

67

2020-07-23T05:39:54.000Z

2022-03-18T20:23:39.000Z

examples/crop-pipeline/overlandflow/overlandflow_omf/__init__.py

openmodelingfoundation/meillionen

69a534699ab2ee09d720262c7a78b86e802ee9ba

[ "MIT-0" ]

1

2021-05-26T05:20:53.000Z

#!/usr/bin/env python3 from .model import main

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1fd8152e862f544c9000c20a117de898f44c6052

91

py

Python

office365/sharepoint/fields/field_currency.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

544

2016-08-04T17:10:16.000Z

2022-03-31T07:17:20.000Z

office365/sharepoint/fields/field_currency.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

438

2016-10-11T12:24:22.000Z

2022-03-31T19:30:35.000Z

office365/sharepoint/fields/field_currency.py

wreiner/Office365-REST-Python-Client

476bbce4f5928a140b4f5d33475d0ac9b0783530

[ "MIT" ]

202

2016-08-22T19:29:40.000Z

2022-03-30T20:26:15.000Z

from office365.sharepoint.fields.field import Field class FieldCurrency(Field): pass

15.166667

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91

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0.142857

91

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52

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null

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6

1ffeb6ff771cc98eb68291772085edc18e27319e

26

py

Python

base/test-show-scope/func-1.py

jpolitz/lambda-py-paper

746ef63fc1123714b4adaf78119028afbea7bd76

[ "Apache-2.0" ]

25

2015-04-16T04:31:49.000Z

2022-03-10T15:53:28.000Z

base/test-show-scope/func-1.py

jpolitz/lambda-py-paper

746ef63fc1123714b4adaf78119028afbea7bd76

[ "Apache-2.0" ]

1

2018-11-21T22:40:02.000Z

2018-11-26T17:53:11.000Z

base/test-show-scope/func-1.py

jpolitz/lambda-py-paper

746ef63fc1123714b4adaf78119028afbea7bd76

[ "Apache-2.0" ]

1

2021-03-26T03:36:19.000Z

x = 9 def f(): return x

5.2

9

0.5

6

26

2.166667

0.833333

0

0.058824

0.346154

26

4

10

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0.333333

false

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0.333333

0.666667

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null

0

1

0

null

0

1

0

1

0

6

951b3b3f08fc42d48164ab12dbf70ef5df1b0744

30

py

Python

allcasts/__init__.py

illegalbyte/fullpod

6c10cff38cfaf96a2c3f72a1c1c9887e8efb6c92

[ "MIT" ]

3

2022-01-07T16:40:24.000Z

2022-03-22T11:55:42.000Z

allcasts/__init__.py

illegalbyte/allcasts

6c10cff38cfaf96a2c3f72a1c1c9887e8efb6c92

[ "MIT" ]

null

allcasts/__init__.py

illegalbyte/allcasts

6c10cff38cfaf96a2c3f72a1c1c9887e8efb6c92

[ "MIT" ]

null

from .allcasts import AllCasts

30

0.866667

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1

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null

0

1

0

1

0

1

0

6

951d859637ac5ba16d55993c55e823f9ed43dce2

24

py

Python

utils/__init__.py

rainwangphy/AdversarialNAS

6ddefdd524cb97c161bcc3b226009e768192c5aa

[ "MIT" ]

null

utils/__init__.py

rainwangphy/AdversarialNAS

6ddefdd524cb97c161bcc3b226009e768192c5aa

[ "MIT" ]

null

utils/__init__.py

rainwangphy/AdversarialNAS

6ddefdd524cb97c161bcc3b226009e768192c5aa

[ "MIT" ]

null

from utils import utils

12

23

0.833333

4

24

5

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24

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24

1

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null

0

1

0

1

0

1

0

6

951fd2c27b515b83be3b747c63365a67f763aa19

144

py

Python

backend_application/app/woogle/views.py

klimente/woogle

0e7dc8918b16ee290aa1f8fd31710a53825a5a0e

[ "MIT" ]

null

backend_application/app/woogle/views.py

klimente/woogle

0e7dc8918b16ee290aa1f8fd31710a53825a5a0e

[ "MIT" ]

null

backend_application/app/woogle/views.py

klimente/woogle

0e7dc8918b16ee290aa1f8fd31710a53825a5a0e

[ "MIT" ]

null

from django.http import HttpResponse from django.shortcuts import render_to_response def main(request): return HttpResponse("index.html")

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144

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144

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null

0

1

0

null

0

1

0

1

0

6

95209c92f121a35a8888e9579cf3701c636dc35b

77

py

Python

model/__init__.py

jorgeMorfinezM/cargamos_api_test

3efd45d5ad1af83f358e0ad07fd8d3feb7bdfcff

[ "Apache-2.0" ]

null

model/__init__.py

jorgeMorfinezM/cargamos_api_test

3efd45d5ad1af83f358e0ad07fd8d3feb7bdfcff

[ "Apache-2.0" ]

null

model/__init__.py

jorgeMorfinezM/cargamos_api_test

3efd45d5ad1af83f358e0ad07fd8d3feb7bdfcff

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from . import StoreModel from . import ProductModel

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0.181818

77

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0

null

0

1

0

1

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1

0

6

1f1183eca9a3ad91db50904c643b3006b3a28f94

79

py

Python

models/__init__.py

CFM-MSG/CMAN_pytorch

e176debef6888ae96781a6cfafabcbd438fbfcb0

[ "MIT" ]

null

models/__init__.py

CFM-MSG/CMAN_pytorch

e176debef6888ae96781a6cfafabcbd438fbfcb0

[ "MIT" ]

null

models/__init__.py

CFM-MSG/CMAN_pytorch

e176debef6888ae96781a6cfafabcbd438fbfcb0

[ "MIT" ]

null

from models.mem_mnist import MEMMNIST from models.mem_cifar10 import MEMCIFAR10

39.5

41

0.886076

12

79

5.666667

0.666667

0.294118

0.382353

0

0.055556

0.088608

79

2

41

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0.888889

0

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true

0

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0

1

0

null

0

1

0

1

0

6

1f264d2bd9f87016437b1fbe0e9626538336889e

137

wsgi

Python

wsgi/beelogger.wsgi

Programmier-AG/BeeLogger

2f85bc27f4af9442bca4691c52f4d5a4b520caa7

[ "MIT" ]

1

2022-03-04T08:42:54.000Z

wsgi/beelogger.wsgi

Programmier-AG/BeeLogger

2f85bc27f4af9442bca4691c52f4d5a4b520caa7

[ "MIT" ]

29

2020-09-23T17:17:05.000Z

2022-03-29T08:03:46.000Z

wsgi/beelogger.wsgi

Programmier-AG/BeeLogger

2f85bc27f4af9442bca4691c52f4d5a4b520caa7

[ "MIT" ]

8

2021-03-21T21:13:23.000Z

2021-10-20T20:08:16.000Z

import sys import os sys.path.insert(0, "/var/www/BeeLogger") os.chdir("/var/www/BeeLogger") from app import app as application

17.125

41

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137

4.409091

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0

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0.160584

137

7

42

19.571429

0.834783

0

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true

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null

0

1

0

1

0

1

0

6

85edf204b5f725d35da8f5a7fc06459281bbee69

22

py

Python

DI2/__init__.py

JupitersMight/DI2

fcecf45043d6800b237799f0854919f358642ec7

[ "MIT" ]

3

2020-11-25T12:33:03.000Z

2021-08-25T09:19:05.000Z

DI2/__init__.py

JupitersMight/DI2

fcecf45043d6800b237799f0854919f358642ec7

[ "MIT" ]

1

2021-03-04T11:36:54.000Z

2021-06-24T16:52:51.000Z

DI2/__init__.py

JupitersMight/DI2

fcecf45043d6800b237799f0854919f358642ec7

[ "MIT" ]

null

from DI2.DI2 import *

11

21

0.727273

4

22

4

0.75

0

0.111111

0.181818

22

1

22

0.777778

0

1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

6

c09f0ac3d2ebc89e230ac1a00acc4bb94018b287

100

py

Python

econopy/utils.py

KeoH/econoPy

33844fb537f3fd6ad281f7c5200b6444273a8946

[ "MIT" ]

1

2020-07-01T17:14:05.000Z

econopy/utils.py

KeoH/econoPy

33844fb537f3fd6ad281f7c5200b6444273a8946

[ "MIT" ]

6

2018-10-02T11:12:26.000Z

2019-12-03T23:17:31.000Z

econopy/utils.py

KeoH/econoPy

33844fb537f3fd6ad281f7c5200b6444273a8946

[ "MIT" ]

1

2020-07-01T17:14:15.000Z

from econopy.constants import VAT def deflate_vat(amount, vat=VAT): return amount / (1 + vat)

16.666667

33

0.71

15

100

4.666667

0.666667

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0.19

100

5

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false

0

0.333333

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0

1

0

null

0

1

0

1

0

6

c0c8c486270677fcbea42b63d4238434801f5702

9,161

py

Python

tests/test_fuzz_brownie.py

ConsenSys/diligence-fuzzing

74491aa8424752baf338d26d667f5259ef296d89

[ "Apache-2.0" ]

8

2021-08-20T10:51:32.000Z

2022-03-31T16:26:22.000Z

tests/test_fuzz_brownie.py

ConsenSys/diligence-fuzzing

74491aa8424752baf338d26d667f5259ef296d89

[ "Apache-2.0" ]

6

2021-09-29T05:33:15.000Z

2022-02-10T09:01:54.000Z

tests/test_fuzz_brownie.py

ConsenSys/diligence-fuzzing

74491aa8424752baf338d26d667f5259ef296d89

[ "Apache-2.0" ]

1

2021-08-20T11:35:58.000Z

import json from unittest.mock import patch import pytest import requests from click.testing import CliRunner from requests import RequestException from fuzzing_cli.cli import cli from fuzzing_cli.fuzz.exceptions import RequestError from fuzzing_cli.fuzz.faas import FaasClient from fuzzing_cli.fuzz.rpc import RPCClient from .common import get_test_case, write_config FAAS_URL = "http://localhost:9899" ORIGINAL_SOL_CODE = "original sol code here" def test_fuzz_no_build_dir(tmp_path): runner = CliRunner() write_config(not_include=["build_directory"]) result = runner.invoke(cli, ["run", "contracts"]) assert ( "Build directory not provided. You need to set the `build_directory`" in result.output ) assert result.exit_code != 0 def test_fuzz_no_deployed_address(tmp_path): runner = CliRunner() write_config(not_include=["deployed_contract_address"]) result = runner.invoke(cli, ["run", "contracts"]) assert ( "Deployed contract address not provided. You need to provide an address" in result.output ) assert result.exit_code != 0 def test_fuzz_no_target(tmp_path): runner = CliRunner() write_config(not_include=["targets"]) result = runner.invoke(cli, ["run"]) assert "Error: Target not provided." in result.output assert result.exit_code != 0 def test_fuzz_no_contract_at_address(tmp_path, brownie_project): write_config(base_path=str(tmp_path)) with patch.object( RPCClient, "contract_exists" ) as contract_exists_mock, patch.object( RPCClient, "get_all_blocks" ) as get_all_blocks_mock: get_all_blocks_mock.return_value = get_test_case( "testdata/ganache-all-blocks.json" ) contract_exists_mock.return_value = False runner = CliRunner() result = runner.invoke(cli, ["run", f"{tmp_path}/contracts"]) assert "Error: Unable to find a contract deployed" in result.output assert result.exit_code != 0 def test_faas_not_running(tmp_path, brownie_project): write_config(base_path=str(tmp_path)) with patch.object( RPCClient, "contract_exists" ) as contract_exists_mock, patch.object( RPCClient, "get_all_blocks" ) as get_all_blocks_mock, patch.object( FaasClient, "start_faas_campaign" ) as start_faas_campaign_mock: get_all_blocks_mock.return_value = get_test_case( "testdata/ganache-all-blocks.json" ) contract_exists_mock.return_value = True start_faas_campaign_mock.side_effect = RequestError( f"Error starting FaaS campaign." ) runner = CliRunner() result = runner.invoke(cli, ["run", f"{tmp_path}/contracts"]) assert "RequestError: Error starting FaaS campaign" in result.output assert result.exit_code != 0 def test_faas_target_config_file(tmp_path, brownie_project): """Here we reuse the test_faas_not_running logic to check that the target is being read from the config file. This is possible because the faas not running error is triggered after the Target check. If the target was not available, a different error would be thrown and the test would fail""" write_config(base_path=str(tmp_path)) with patch.object( RPCClient, "contract_exists" ) as contract_exists_mock, patch.object( RPCClient, "get_all_blocks" ) as get_all_blocks_mock, patch.object( FaasClient, "start_faas_campaign" ) as start_faas_campaign_mock: get_all_blocks_mock.return_value = get_test_case( "testdata/ganache-all-blocks.json" ) contract_exists_mock.return_value = True start_faas_campaign_mock.side_effect = RequestError( f"Error starting FaaS campaign." ) runner = CliRunner() # we call the run command without the target parameter. result = runner.invoke(cli, ["run"]) assert "RequestError: Error starting FaaS campaign." in result.output assert result.exit_code != 0 def test_rpc_not_running(tmp_path): write_config(base_path=str(tmp_path)) with patch.object(requests, "request") as requests_mock: requests_mock.side_effect = RequestException() runner = CliRunner() result = runner.invoke(cli, ["run", f"{tmp_path}/contracts"]) assert "HTTP error calling RPC method eth_getCode with parameters" in result.output assert result.exit_code != 0 def test_fuzz_run(tmp_path, brownie_project): write_config(base_path=str(tmp_path)) with patch.object( RPCClient, "contract_exists" ) as contract_exists_mock, patch.object( RPCClient, "get_all_blocks" ) as get_all_blocks_mock, patch.object( FaasClient, "start_faas_campaign" ) as start_faas_campaign_mock: get_all_blocks_mock.return_value = get_test_case( "testdata/ganache-all-blocks.json" ) contract_exists_mock.return_value = True campaign_id = "560ba03a-8744-4da6-aeaa-a62568ccbf44" start_faas_campaign_mock.return_value = campaign_id runner = CliRunner() result = runner.invoke(cli, ["run", f"{tmp_path}/contracts"]) contract_exists_mock.assert_called_with( "0x7277646075fa72737e1F6114654C5d9949a67dF2" ) contract_exists_mock.assert_called_once() get_all_blocks_mock.assert_called_once() start_faas_campaign_mock.assert_called_once() called_with = start_faas_campaign_mock.call_args assert ( f"You can view campaign here: {FAAS_URL}/campaigns/{campaign_id}" in result.output ) request_payload = json.dumps(called_with[0]) keywords = [ "parameters", "name", "corpus", "sources", "contracts", "address-under-test", "source", "fileIndex", "sourcePaths", "deployedSourceMap", "mainSourceFile", "contractName", "bytecode", "deployedBytecode", "sourceMap", "deployedSourceMap", ] for keyword in keywords: assert keyword in request_payload assert result.exit_code == 0 def test_fuzz_run_map_to_original_source(tmp_path, brownie_project): write_config(base_path=str(tmp_path)) with patch.object( RPCClient, "contract_exists" ) as contract_exists_mock, patch.object( RPCClient, "get_all_blocks" ) as get_all_blocks_mock, patch.object( FaasClient, "start_faas_campaign" ) as start_faas_campaign_mock: get_all_blocks_mock.return_value = get_test_case( "testdata/ganache-all-blocks.json" ) contract_exists_mock.return_value = True campaign_id = "560ba03a-8744-4da6-aeaa-a62568ccbf44" start_faas_campaign_mock.return_value = campaign_id runner = CliRunner() result = runner.invoke( cli, ["run", "--map-to-original-source", f"{tmp_path}/contracts"] ) contract_exists_mock.assert_called_with( "0x7277646075fa72737e1F6114654C5d9949a67dF2" ) contract_exists_mock.assert_called_once() get_all_blocks_mock.assert_called_once() start_faas_campaign_mock.assert_called_once() called_with = start_faas_campaign_mock.call_args assert ( f"You can view campaign here: {FAAS_URL}/campaigns/{campaign_id}" in result.output ) request_payload = json.dumps(called_with[0]) assert ORIGINAL_SOL_CODE in request_payload keywords = [ "parameters", "name", "corpus", "sources", "contracts", "address-under-test", "source", "fileIndex", "sourcePaths", "deployedSourceMap", "mainSourceFile", "contractName", "bytecode", "deployedBytecode", "sourceMap", "deployedSourceMap", ] for keyword in keywords: assert keyword in request_payload assert result.exit_code == 0 @pytest.mark.parametrize("keyword", ("run", "disarm", "arm", "run")) def test_fuzz_subcommands_present(keyword): runner = CliRunner() result = runner.invoke(cli, ["--help"]) assert keyword in result.output @patch("fuzzing_cli.fuzz.scribble.ScribbleMixin.instrument_solc_in_place") def test_fuzz_arm(mock, tmp_path, brownie_project): runner = CliRunner() result = runner.invoke(cli, ["arm", f"{tmp_path}/contracts/sample.sol"]) mock.assert_called() mock.assert_called_with( file_list=(f"{tmp_path}/contracts/sample.sol",), scribble_path="scribble", remappings=[], solc_version=None, ) assert result.exit_code == 0 @patch("fuzzing_cli.fuzz.scribble.ScribbleMixin.disarm_solc_in_place") def test_fuzz_disarm(mock, tmp_path, brownie_project): runner = CliRunner() result = runner.invoke(cli, ["disarm", f"{tmp_path}/contracts/sample.sol"]) mock.assert_called() mock.assert_called_with( file_list=(f"{tmp_path}/contracts/sample.sol",), scribble_path="scribble", remappings=[], solc_version=None, ) assert result.exit_code == 0

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c0cee732301241cc7ba562014c2cdc296501cf14

33

py

Python

dataflow/stream_decode/options/__init__.py

GlobalFishingWatch/ais-stream

e16edde88144229a8470a533dab4f7eca8c8e48a

[ "Apache-2.0" ]

null

dataflow/stream_decode/options/__init__.py

GlobalFishingWatch/ais-stream

e16edde88144229a8470a533dab4f7eca8c8e48a

[ "Apache-2.0" ]

null

dataflow/stream_decode/options/__init__.py

GlobalFishingWatch/ais-stream

e16edde88144229a8470a533dab4f7eca8c8e48a

[ "Apache-2.0" ]

1

2020-09-28T04:54:28.000Z

from .decode import DecodeOptions

33

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c0d4f314d0eeb99e35b640608833595a1efa89f3

86,526

py

Python

cottonformation/res/batch.py

gitter-badger/cottonformation-project

354f1dce7ea106e209af2d5d818b6033a27c193c

[ "BSD-2-Clause" ]

null

cottonformation/res/batch.py

gitter-badger/cottonformation-project

354f1dce7ea106e209af2d5d818b6033a27c193c

[ "BSD-2-Clause" ]

null

cottonformation/res/batch.py

gitter-badger/cottonformation-project

354f1dce7ea106e209af2d5d818b6033a27c193c

[ "BSD-2-Clause" ]

null

# -*- coding: utf-8 -*- """ This module """ import attr import typing from ..core.model import ( Property, Resource, Tag, GetAtt, TypeHint, TypeCheck, ) from ..core.constant import AttrMeta #--- Property declaration --- @attr.s class JobDefinitionAuthorizationConfig(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.AuthorizationConfig" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-authorizationconfig.html Property Document: - ``p_AccessPointId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-authorizationconfig.html#cfn-batch-jobdefinition-authorizationconfig-accesspointid - ``p_Iam``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-authorizationconfig.html#cfn-batch-jobdefinition-authorizationconfig-iam """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.AuthorizationConfig" p_AccessPointId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "AccessPointId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-authorizationconfig.html#cfn-batch-jobdefinition-authorizationconfig-accesspointid""" p_Iam: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Iam"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-authorizationconfig.html#cfn-batch-jobdefinition-authorizationconfig-iam""" @attr.s class JobDefinitionResourceRequirement(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.ResourceRequirement" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-resourcerequirement.html Property Document: - ``p_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-resourcerequirement.html#cfn-batch-jobdefinition-resourcerequirement-type - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-resourcerequirement.html#cfn-batch-jobdefinition-resourcerequirement-value """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.ResourceRequirement" p_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-resourcerequirement.html#cfn-batch-jobdefinition-resourcerequirement-type""" p_Value: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-resourcerequirement.html#cfn-batch-jobdefinition-resourcerequirement-value""" @attr.s class JobDefinitionEnvironment(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Environment" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-environment.html Property Document: - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-environment.html#cfn-batch-jobdefinition-environment-name - ``p_Value``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-environment.html#cfn-batch-jobdefinition-environment-value """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Environment" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-environment.html#cfn-batch-jobdefinition-environment-name""" p_Value: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Value"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-environment.html#cfn-batch-jobdefinition-environment-value""" @attr.s class JobDefinitionVolumesHost(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.VolumesHost" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumeshost.html Property Document: - ``p_SourcePath``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumeshost.html#cfn-batch-jobdefinition-volumeshost-sourcepath """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.VolumesHost" p_SourcePath: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SourcePath"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumeshost.html#cfn-batch-jobdefinition-volumeshost-sourcepath""" @attr.s class JobQueueComputeEnvironmentOrder(Property): """ AWS Object Type = "AWS::Batch::JobQueue.ComputeEnvironmentOrder" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobqueue-computeenvironmentorder.html Property Document: - ``rp_ComputeEnvironment``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobqueue-computeenvironmentorder.html#cfn-batch-jobqueue-computeenvironmentorder-computeenvironment - ``rp_Order``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobqueue-computeenvironmentorder.html#cfn-batch-jobqueue-computeenvironmentorder-order """ AWS_OBJECT_TYPE = "AWS::Batch::JobQueue.ComputeEnvironmentOrder" rp_ComputeEnvironment: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ComputeEnvironment"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobqueue-computeenvironmentorder.html#cfn-batch-jobqueue-computeenvironmentorder-computeenvironment""" rp_Order: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "Order"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobqueue-computeenvironmentorder.html#cfn-batch-jobqueue-computeenvironmentorder-order""" @attr.s class JobDefinitionSecret(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Secret" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-secret.html Property Document: - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-secret.html#cfn-batch-jobdefinition-secret-name - ``rp_ValueFrom``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-secret.html#cfn-batch-jobdefinition-secret-valuefrom """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Secret" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-secret.html#cfn-batch-jobdefinition-secret-name""" rp_ValueFrom: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ValueFrom"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-secret.html#cfn-batch-jobdefinition-secret-valuefrom""" @attr.s class JobDefinitionNetworkConfiguration(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.NetworkConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-networkconfiguration.html Property Document: - ``p_AssignPublicIp``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-networkconfiguration.html#cfn-batch-jobdefinition-containerproperties-networkconfiguration-assignpublicip """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.NetworkConfiguration" p_AssignPublicIp: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "AssignPublicIp"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-networkconfiguration.html#cfn-batch-jobdefinition-containerproperties-networkconfiguration-assignpublicip""" @attr.s class JobDefinitionLogConfiguration(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.LogConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html Property Document: - ``rp_LogDriver``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html#cfn-batch-jobdefinition-containerproperties-logconfiguration-logdriver - ``p_Options``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html#cfn-batch-jobdefinition-containerproperties-logconfiguration-options - ``p_SecretOptions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html#cfn-batch-jobdefinition-containerproperties-logconfiguration-secretoptions """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.LogConfiguration" rp_LogDriver: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "LogDriver"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html#cfn-batch-jobdefinition-containerproperties-logconfiguration-logdriver""" p_Options: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Options"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html#cfn-batch-jobdefinition-containerproperties-logconfiguration-options""" p_SecretOptions: typing.List[typing.Union['JobDefinitionSecret', dict]] = attr.ib( default=None, converter=JobDefinitionSecret.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionSecret), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SecretOptions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-logconfiguration.html#cfn-batch-jobdefinition-containerproperties-logconfiguration-secretoptions""" @attr.s class ComputeEnvironmentLaunchTemplateSpecification(Property): """ AWS Object Type = "AWS::Batch::ComputeEnvironment.LaunchTemplateSpecification" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html Property Document: - ``p_LaunchTemplateId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html#cfn-batch-computeenvironment-launchtemplatespecification-launchtemplateid - ``p_LaunchTemplateName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html#cfn-batch-computeenvironment-launchtemplatespecification-launchtemplatename - ``p_Version``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html#cfn-batch-computeenvironment-launchtemplatespecification-version """ AWS_OBJECT_TYPE = "AWS::Batch::ComputeEnvironment.LaunchTemplateSpecification" p_LaunchTemplateId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "LaunchTemplateId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html#cfn-batch-computeenvironment-launchtemplatespecification-launchtemplateid""" p_LaunchTemplateName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "LaunchTemplateName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html#cfn-batch-computeenvironment-launchtemplatespecification-launchtemplatename""" p_Version: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Version"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-launchtemplatespecification.html#cfn-batch-computeenvironment-launchtemplatespecification-version""" @attr.s class JobDefinitionMountPoints(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.MountPoints" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html Property Document: - ``p_ContainerPath``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html#cfn-batch-jobdefinition-mountpoints-containerpath - ``p_ReadOnly``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html#cfn-batch-jobdefinition-mountpoints-readonly - ``p_SourceVolume``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html#cfn-batch-jobdefinition-mountpoints-sourcevolume """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.MountPoints" p_ContainerPath: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ContainerPath"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html#cfn-batch-jobdefinition-mountpoints-containerpath""" p_ReadOnly: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "ReadOnly"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html#cfn-batch-jobdefinition-mountpoints-readonly""" p_SourceVolume: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SourceVolume"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-mountpoints.html#cfn-batch-jobdefinition-mountpoints-sourcevolume""" @attr.s class JobDefinitionEvaluateOnExit(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.EvaluateOnExit" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html Property Document: - ``rp_Action``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-action - ``p_OnExitCode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-onexitcode - ``p_OnReason``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-onreason - ``p_OnStatusReason``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-onstatusreason """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.EvaluateOnExit" rp_Action: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Action"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-action""" p_OnExitCode: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "OnExitCode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-onexitcode""" p_OnReason: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "OnReason"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-onreason""" p_OnStatusReason: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "OnStatusReason"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-evaluateonexit.html#cfn-batch-jobdefinition-evaluateonexit-onstatusreason""" @attr.s class JobDefinitionUlimit(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Ulimit" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html Property Document: - ``rp_HardLimit``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html#cfn-batch-jobdefinition-ulimit-hardlimit - ``rp_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html#cfn-batch-jobdefinition-ulimit-name - ``rp_SoftLimit``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html#cfn-batch-jobdefinition-ulimit-softlimit """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Ulimit" rp_HardLimit: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "HardLimit"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html#cfn-batch-jobdefinition-ulimit-hardlimit""" rp_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html#cfn-batch-jobdefinition-ulimit-name""" rp_SoftLimit: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "SoftLimit"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-ulimit.html#cfn-batch-jobdefinition-ulimit-softlimit""" @attr.s class JobDefinitionFargatePlatformConfiguration(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.FargatePlatformConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-fargateplatformconfiguration.html Property Document: - ``p_PlatformVersion``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-fargateplatformconfiguration.html#cfn-batch-jobdefinition-containerproperties-fargateplatformconfiguration-platformversion """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.FargatePlatformConfiguration" p_PlatformVersion: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "PlatformVersion"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-fargateplatformconfiguration.html#cfn-batch-jobdefinition-containerproperties-fargateplatformconfiguration-platformversion""" @attr.s class JobDefinitionTimeout(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Timeout" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-timeout.html Property Document: - ``p_AttemptDurationSeconds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-timeout.html#cfn-batch-jobdefinition-timeout-attemptdurationseconds """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Timeout" p_AttemptDurationSeconds: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "AttemptDurationSeconds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-timeout.html#cfn-batch-jobdefinition-timeout-attemptdurationseconds""" @attr.s class JobDefinitionTmpfs(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Tmpfs" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html Property Document: - ``rp_ContainerPath``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html#cfn-batch-jobdefinition-tmpfs-containerpath - ``rp_Size``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html#cfn-batch-jobdefinition-tmpfs-size - ``p_MountOptions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html#cfn-batch-jobdefinition-tmpfs-mountoptions """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Tmpfs" rp_ContainerPath: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ContainerPath"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html#cfn-batch-jobdefinition-tmpfs-containerpath""" rp_Size: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "Size"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html#cfn-batch-jobdefinition-tmpfs-size""" p_MountOptions: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "MountOptions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-tmpfs.html#cfn-batch-jobdefinition-tmpfs-mountoptions""" @attr.s class JobDefinitionEfsVolumeConfiguration(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.EfsVolumeConfiguration" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html Property Document: - ``rp_FileSystemId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-filesystemid - ``p_AuthorizationConfig``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-authorizationconfig - ``p_RootDirectory``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-rootdirectory - ``p_TransitEncryption``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-transitencryption - ``p_TransitEncryptionPort``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-transitencryptionport """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.EfsVolumeConfiguration" rp_FileSystemId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "FileSystemId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-filesystemid""" p_AuthorizationConfig: typing.Union['JobDefinitionAuthorizationConfig', dict] = attr.ib( default=None, converter=JobDefinitionAuthorizationConfig.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionAuthorizationConfig)), metadata={AttrMeta.PROPERTY_NAME: "AuthorizationConfig"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-authorizationconfig""" p_RootDirectory: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "RootDirectory"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-rootdirectory""" p_TransitEncryption: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "TransitEncryption"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-transitencryption""" p_TransitEncryptionPort: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "TransitEncryptionPort"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-efsvolumeconfiguration.html#cfn-batch-jobdefinition-efsvolumeconfiguration-transitencryptionport""" @attr.s class JobDefinitionDevice(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Device" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html Property Document: - ``p_ContainerPath``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html#cfn-batch-jobdefinition-device-containerpath - ``p_HostPath``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html#cfn-batch-jobdefinition-device-hostpath - ``p_Permissions``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html#cfn-batch-jobdefinition-device-permissions """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Device" p_ContainerPath: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ContainerPath"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html#cfn-batch-jobdefinition-device-containerpath""" p_HostPath: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "HostPath"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html#cfn-batch-jobdefinition-device-hostpath""" p_Permissions: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Permissions"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-device.html#cfn-batch-jobdefinition-device-permissions""" @attr.s class ComputeEnvironmentEc2ConfigurationObject(Property): """ AWS Object Type = "AWS::Batch::ComputeEnvironment.Ec2ConfigurationObject" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-ec2configurationobject.html Property Document: - ``rp_ImageType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-ec2configurationobject.html#cfn-batch-computeenvironment-ec2configurationobject-imagetype - ``p_ImageIdOverride``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-ec2configurationobject.html#cfn-batch-computeenvironment-ec2configurationobject-imageidoverride """ AWS_OBJECT_TYPE = "AWS::Batch::ComputeEnvironment.Ec2ConfigurationObject" rp_ImageType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "ImageType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-ec2configurationobject.html#cfn-batch-computeenvironment-ec2configurationobject-imagetype""" p_ImageIdOverride: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ImageIdOverride"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-ec2configurationobject.html#cfn-batch-computeenvironment-ec2configurationobject-imageidoverride""" @attr.s class JobDefinitionVolumes(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.Volumes" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html Property Document: - ``p_EfsVolumeConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html#cfn-batch-jobdefinition-volumes-efsvolumeconfiguration - ``p_Host``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html#cfn-batch-jobdefinition-volumes-host - ``p_Name``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html#cfn-batch-jobdefinition-volumes-name """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.Volumes" p_EfsVolumeConfiguration: typing.Union['JobDefinitionEfsVolumeConfiguration', dict] = attr.ib( default=None, converter=JobDefinitionEfsVolumeConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionEfsVolumeConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "EfsVolumeConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html#cfn-batch-jobdefinition-volumes-efsvolumeconfiguration""" p_Host: typing.Union['JobDefinitionVolumesHost', dict] = attr.ib( default=None, converter=JobDefinitionVolumesHost.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionVolumesHost)), metadata={AttrMeta.PROPERTY_NAME: "Host"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html#cfn-batch-jobdefinition-volumes-host""" p_Name: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Name"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-volumes.html#cfn-batch-jobdefinition-volumes-name""" @attr.s class ComputeEnvironmentComputeResources(Property): """ AWS Object Type = "AWS::Batch::ComputeEnvironment.ComputeResources" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html Property Document: - ``rp_MaxvCpus``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-maxvcpus - ``rp_Subnets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-subnets - ``rp_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-type - ``p_AllocationStrategy``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-allocationstrategy - ``p_BidPercentage``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-bidpercentage - ``p_DesiredvCpus``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-desiredvcpus - ``p_Ec2Configuration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-ec2configuration - ``p_Ec2KeyPair``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-ec2keypair - ``p_ImageId``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-imageid - ``p_InstanceRole``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-instancerole - ``p_InstanceTypes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-instancetypes - ``p_LaunchTemplate``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-launchtemplate - ``p_MinvCpus``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-minvcpus - ``p_PlacementGroup``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-placementgroup - ``p_SecurityGroupIds``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-securitygroupids - ``p_SpotIamFleetRole``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-spotiamfleetrole - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-tags """ AWS_OBJECT_TYPE = "AWS::Batch::ComputeEnvironment.ComputeResources" rp_MaxvCpus: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "MaxvCpus"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-maxvcpus""" rp_Subnets: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "Subnets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-subnets""" rp_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-type""" p_AllocationStrategy: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "AllocationStrategy"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-allocationstrategy""" p_BidPercentage: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "BidPercentage"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-bidpercentage""" p_DesiredvCpus: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "DesiredvCpus"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-desiredvcpus""" p_Ec2Configuration: typing.List[typing.Union['ComputeEnvironmentEc2ConfigurationObject', dict]] = attr.ib( default=None, converter=ComputeEnvironmentEc2ConfigurationObject.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(ComputeEnvironmentEc2ConfigurationObject), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Ec2Configuration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-ec2configuration""" p_Ec2KeyPair: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "Ec2KeyPair"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-ec2keypair""" p_ImageId: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ImageId"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-imageid""" p_InstanceRole: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "InstanceRole"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-instancerole""" p_InstanceTypes: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "InstanceTypes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-instancetypes""" p_LaunchTemplate: typing.Union['ComputeEnvironmentLaunchTemplateSpecification', dict] = attr.ib( default=None, converter=ComputeEnvironmentLaunchTemplateSpecification.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ComputeEnvironmentLaunchTemplateSpecification)), metadata={AttrMeta.PROPERTY_NAME: "LaunchTemplate"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-launchtemplate""" p_MinvCpus: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "MinvCpus"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-minvcpus""" p_PlacementGroup: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "PlacementGroup"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-placementgroup""" p_SecurityGroupIds: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "SecurityGroupIds"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-securitygroupids""" p_SpotIamFleetRole: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "SpotIamFleetRole"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-spotiamfleetrole""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-computeenvironment-computeresources.html#cfn-batch-computeenvironment-computeresources-tags""" @attr.s class JobDefinitionRetryStrategy(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.RetryStrategy" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-retrystrategy.html Property Document: - ``p_Attempts``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-retrystrategy.html#cfn-batch-jobdefinition-retrystrategy-attempts - ``p_EvaluateOnExit``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-retrystrategy.html#cfn-batch-jobdefinition-retrystrategy-evaluateonexit """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.RetryStrategy" p_Attempts: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Attempts"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-retrystrategy.html#cfn-batch-jobdefinition-retrystrategy-attempts""" p_EvaluateOnExit: typing.List[typing.Union['JobDefinitionEvaluateOnExit', dict]] = attr.ib( default=None, converter=JobDefinitionEvaluateOnExit.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionEvaluateOnExit), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "EvaluateOnExit"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-retrystrategy.html#cfn-batch-jobdefinition-retrystrategy-evaluateonexit""" @attr.s class JobDefinitionLinuxParameters(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.LinuxParameters" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html Property Document: - ``p_Devices``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-devices - ``p_InitProcessEnabled``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-initprocessenabled - ``p_MaxSwap``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-maxswap - ``p_SharedMemorySize``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-sharedmemorysize - ``p_Swappiness``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-swappiness - ``p_Tmpfs``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-tmpfs """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.LinuxParameters" p_Devices: typing.List[typing.Union['JobDefinitionDevice', dict]] = attr.ib( default=None, converter=JobDefinitionDevice.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionDevice), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Devices"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-devices""" p_InitProcessEnabled: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "InitProcessEnabled"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-initprocessenabled""" p_MaxSwap: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "MaxSwap"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-maxswap""" p_SharedMemorySize: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "SharedMemorySize"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-sharedmemorysize""" p_Swappiness: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Swappiness"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-swappiness""" p_Tmpfs: typing.List[typing.Union['JobDefinitionTmpfs', dict]] = attr.ib( default=None, converter=JobDefinitionTmpfs.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionTmpfs), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Tmpfs"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties-linuxparameters.html#cfn-batch-jobdefinition-containerproperties-linuxparameters-tmpfs""" @attr.s class JobDefinitionContainerProperties(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.ContainerProperties" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html Property Document: - ``rp_Image``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-image - ``p_Command``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-command - ``p_Environment``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-environment - ``p_ExecutionRoleArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-executionrolearn - ``p_FargatePlatformConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-fargateplatformconfiguration - ``p_InstanceType``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-instancetype - ``p_JobRoleArn``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-jobrolearn - ``p_LinuxParameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-linuxparameters - ``p_LogConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-logconfiguration - ``p_Memory``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-memory - ``p_MountPoints``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-mountpoints - ``p_NetworkConfiguration``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-networkconfiguration - ``p_Privileged``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-privileged - ``p_ReadonlyRootFilesystem``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-readonlyrootfilesystem - ``p_ResourceRequirements``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-resourcerequirements - ``p_Secrets``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-secrets - ``p_Ulimits``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-ulimits - ``p_User``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-user - ``p_Vcpus``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-vcpus - ``p_Volumes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-volumes """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.ContainerProperties" rp_Image: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Image"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-image""" p_Command: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Command"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-command""" p_Environment: typing.List[typing.Union['JobDefinitionEnvironment', dict]] = attr.ib( default=None, converter=JobDefinitionEnvironment.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionEnvironment), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Environment"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-environment""" p_ExecutionRoleArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ExecutionRoleArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-executionrolearn""" p_FargatePlatformConfiguration: typing.Union['JobDefinitionFargatePlatformConfiguration', dict] = attr.ib( default=None, converter=JobDefinitionFargatePlatformConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionFargatePlatformConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "FargatePlatformConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-fargateplatformconfiguration""" p_InstanceType: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "InstanceType"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-instancetype""" p_JobRoleArn: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "JobRoleArn"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-jobrolearn""" p_LinuxParameters: typing.Union['JobDefinitionLinuxParameters', dict] = attr.ib( default=None, converter=JobDefinitionLinuxParameters.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionLinuxParameters)), metadata={AttrMeta.PROPERTY_NAME: "LinuxParameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-linuxparameters""" p_LogConfiguration: typing.Union['JobDefinitionLogConfiguration', dict] = attr.ib( default=None, converter=JobDefinitionLogConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionLogConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "LogConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-logconfiguration""" p_Memory: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Memory"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-memory""" p_MountPoints: typing.List[typing.Union['JobDefinitionMountPoints', dict]] = attr.ib( default=None, converter=JobDefinitionMountPoints.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionMountPoints), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "MountPoints"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-mountpoints""" p_NetworkConfiguration: typing.Union['JobDefinitionNetworkConfiguration', dict] = attr.ib( default=None, converter=JobDefinitionNetworkConfiguration.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionNetworkConfiguration)), metadata={AttrMeta.PROPERTY_NAME: "NetworkConfiguration"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-networkconfiguration""" p_Privileged: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "Privileged"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-privileged""" p_ReadonlyRootFilesystem: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "ReadonlyRootFilesystem"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-readonlyrootfilesystem""" p_ResourceRequirements: typing.List[typing.Union['JobDefinitionResourceRequirement', dict]] = attr.ib( default=None, converter=JobDefinitionResourceRequirement.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionResourceRequirement), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "ResourceRequirements"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-resourcerequirements""" p_Secrets: typing.List[typing.Union['JobDefinitionSecret', dict]] = attr.ib( default=None, converter=JobDefinitionSecret.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionSecret), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Secrets"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-secrets""" p_Ulimits: typing.List[typing.Union['JobDefinitionUlimit', dict]] = attr.ib( default=None, converter=JobDefinitionUlimit.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionUlimit), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Ulimits"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-ulimits""" p_User: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "User"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-user""" p_Vcpus: int = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(int)), metadata={AttrMeta.PROPERTY_NAME: "Vcpus"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-vcpus""" p_Volumes: typing.List[typing.Union['JobDefinitionVolumes', dict]] = attr.ib( default=None, converter=JobDefinitionVolumes.from_list, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionVolumes), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "Volumes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-containerproperties.html#cfn-batch-jobdefinition-containerproperties-volumes""" @attr.s class JobDefinitionNodeRangeProperty(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.NodeRangeProperty" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-noderangeproperty.html Property Document: - ``rp_TargetNodes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-noderangeproperty.html#cfn-batch-jobdefinition-noderangeproperty-targetnodes - ``p_Container``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-noderangeproperty.html#cfn-batch-jobdefinition-noderangeproperty-container """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.NodeRangeProperty" rp_TargetNodes: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "TargetNodes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-noderangeproperty.html#cfn-batch-jobdefinition-noderangeproperty-targetnodes""" p_Container: typing.Union['JobDefinitionContainerProperties', dict] = attr.ib( default=None, converter=JobDefinitionContainerProperties.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionContainerProperties)), metadata={AttrMeta.PROPERTY_NAME: "Container"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-noderangeproperty.html#cfn-batch-jobdefinition-noderangeproperty-container""" @attr.s class JobDefinitionNodeProperties(Property): """ AWS Object Type = "AWS::Batch::JobDefinition.NodeProperties" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html Property Document: - ``rp_MainNode``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html#cfn-batch-jobdefinition-nodeproperties-mainnode - ``rp_NodeRangeProperties``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html#cfn-batch-jobdefinition-nodeproperties-noderangeproperties - ``rp_NumNodes``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html#cfn-batch-jobdefinition-nodeproperties-numnodes """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition.NodeProperties" rp_MainNode: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "MainNode"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html#cfn-batch-jobdefinition-nodeproperties-mainnode""" rp_NodeRangeProperties: typing.List[typing.Union['JobDefinitionNodeRangeProperty', dict]] = attr.ib( default=None, converter=JobDefinitionNodeRangeProperty.from_list, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobDefinitionNodeRangeProperty), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "NodeRangeProperties"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html#cfn-batch-jobdefinition-nodeproperties-noderangeproperties""" rp_NumNodes: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "NumNodes"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-properties-batch-jobdefinition-nodeproperties.html#cfn-batch-jobdefinition-nodeproperties-numnodes""" #--- Resource declaration --- @attr.s class JobDefinition(Resource): """ AWS Object Type = "AWS::Batch::JobDefinition" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html Property Document: - ``rp_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-type - ``p_ContainerProperties``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-containerproperties - ``p_JobDefinitionName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-jobdefinitionname - ``p_NodeProperties``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-nodeproperties - ``p_Parameters``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-parameters - ``p_PlatformCapabilities``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-platformcapabilities - ``p_PropagateTags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-propagatetags - ``p_RetryStrategy``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-retrystrategy - ``p_Timeout``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-timeout - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-tags """ AWS_OBJECT_TYPE = "AWS::Batch::JobDefinition" rp_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-type""" p_ContainerProperties: typing.Union['JobDefinitionContainerProperties', dict] = attr.ib( default=None, converter=JobDefinitionContainerProperties.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionContainerProperties)), metadata={AttrMeta.PROPERTY_NAME: "ContainerProperties"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-containerproperties""" p_JobDefinitionName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "JobDefinitionName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-jobdefinitionname""" p_NodeProperties: typing.Union['JobDefinitionNodeProperties', dict] = attr.ib( default=None, converter=JobDefinitionNodeProperties.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionNodeProperties)), metadata={AttrMeta.PROPERTY_NAME: "NodeProperties"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-nodeproperties""" p_Parameters: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Parameters"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-parameters""" p_PlatformCapabilities: typing.List[TypeHint.intrinsic_str] = attr.ib( default=None, validator=attr.validators.optional(attr.validators.deep_iterable(member_validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), iterable_validator=attr.validators.instance_of(list))), metadata={AttrMeta.PROPERTY_NAME: "PlatformCapabilities"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-platformcapabilities""" p_PropagateTags: bool = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(bool)), metadata={AttrMeta.PROPERTY_NAME: "PropagateTags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-propagatetags""" p_RetryStrategy: typing.Union['JobDefinitionRetryStrategy', dict] = attr.ib( default=None, converter=JobDefinitionRetryStrategy.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionRetryStrategy)), metadata={AttrMeta.PROPERTY_NAME: "RetryStrategy"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-retrystrategy""" p_Timeout: typing.Union['JobDefinitionTimeout', dict] = attr.ib( default=None, converter=JobDefinitionTimeout.from_dict, validator=attr.validators.optional(attr.validators.instance_of(JobDefinitionTimeout)), metadata={AttrMeta.PROPERTY_NAME: "Timeout"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-timeout""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobdefinition.html#cfn-batch-jobdefinition-tags""" @attr.s class JobQueue(Resource): """ AWS Object Type = "AWS::Batch::JobQueue" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html Property Document: - ``rp_ComputeEnvironmentOrder``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-computeenvironmentorder - ``rp_Priority``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-priority - ``p_JobQueueName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-jobqueuename - ``p_State``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-state - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-tags """ AWS_OBJECT_TYPE = "AWS::Batch::JobQueue" rp_ComputeEnvironmentOrder: typing.List[typing.Union['JobQueueComputeEnvironmentOrder', dict]] = attr.ib( default=None, converter=JobQueueComputeEnvironmentOrder.from_list, validator=attr.validators.deep_iterable(member_validator=attr.validators.instance_of(JobQueueComputeEnvironmentOrder), iterable_validator=attr.validators.instance_of(list)), metadata={AttrMeta.PROPERTY_NAME: "ComputeEnvironmentOrder"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-computeenvironmentorder""" rp_Priority: int = attr.ib( default=None, validator=attr.validators.instance_of(int), metadata={AttrMeta.PROPERTY_NAME: "Priority"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-priority""" p_JobQueueName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "JobQueueName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-jobqueuename""" p_State: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "State"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-state""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-jobqueue.html#cfn-batch-jobqueue-tags""" @attr.s class ComputeEnvironment(Resource): """ AWS Object Type = "AWS::Batch::ComputeEnvironment" Resource Document: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html Property Document: - ``rp_Type``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-type - ``p_ComputeEnvironmentName``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-computeenvironmentname - ``p_ComputeResources``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-computeresources - ``p_ServiceRole``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-servicerole - ``p_State``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-state - ``p_Tags``: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-tags """ AWS_OBJECT_TYPE = "AWS::Batch::ComputeEnvironment" rp_Type: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.instance_of(TypeCheck.intrinsic_str_type), metadata={AttrMeta.PROPERTY_NAME: "Type"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-type""" p_ComputeEnvironmentName: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ComputeEnvironmentName"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-computeenvironmentname""" p_ComputeResources: typing.Union['ComputeEnvironmentComputeResources', dict] = attr.ib( default=None, converter=ComputeEnvironmentComputeResources.from_dict, validator=attr.validators.optional(attr.validators.instance_of(ComputeEnvironmentComputeResources)), metadata={AttrMeta.PROPERTY_NAME: "ComputeResources"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-computeresources""" p_ServiceRole: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "ServiceRole"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-servicerole""" p_State: TypeHint.intrinsic_str = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(TypeCheck.intrinsic_str_type)), metadata={AttrMeta.PROPERTY_NAME: "State"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-state""" p_Tags: dict = attr.ib( default=None, validator=attr.validators.optional(attr.validators.instance_of(dict)), metadata={AttrMeta.PROPERTY_NAME: "Tags"}, ) """Doc: http://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-batch-computeenvironment.html#cfn-batch-computeenvironment-tags"""

69.891761

268

0.779095

8,987

86,526

7.410816

0.022032

0.106485

0.043273

0.066876

0.909851

0.896533

0.856008

0

0.000332

0.094943

86,526

1,237

269

69.948262

0.850136

0.332178

0

0.396011

0

0.089425

0.05296

0

1

0

false

0

0.005698

0

0.252137

0

null

0

1

0

null

0

6

c0f917ba193447f49463cd3c0c45ac5f1da6c3d3

2,969

py

Python

def_age_plots.py

anewmark/galaxy_dark_matter

b5261e4e413d3a18a45a19e92f7545adc408878a

[ "MIT" ]

null

def_age_plots.py

anewmark/galaxy_dark_matter

b5261e4e413d3a18a45a19e92f7545adc408878a

[ "MIT" ]

null

def_age_plots.py

anewmark/galaxy_dark_matter

b5261e4e413d3a18a45a19e92f7545adc408878a

[ "MIT" ]

null

import matplotlib.pyplot as plt import matplotlib.ticker as ticker import numpy as np import math outdir='/Users/amandanewmark/repositories/galaxy_dark_matter/lumprofplots/clumps/' def age_plot(x,y, start, end, tag=[]): #print('x spacing: ', xspace) print('x_center values: ', x) print('y values= ', y) start=np.array(start) end=np.array(end) arange=end-start arange=arange[1:] bwidth=arange print('bar width=', bwidth) print(len(bwidth)) f=plt.figure() labels=np.append(start, end[len(end)-1]) print('labels', labels) xspace=np.linspace(np.min(labels), np.max(labels), num=len(labels)) #label=[str(n) for n in labels] #print(label) #plt.bar(x, y, width=bwidth, align='center', color='None') plt.bar(x, y, width=bwidth, align='center', color='None') plt.xlabel('Lookback Time (Gyr)') plt.xticks(labels, label=labels, fontsize=8, rotation='vertical') #smushed #plt.xticks(xspace, label=labels, fontsize=8, rotation='vertical') #ticks dont align with bar graph plt.ylabel('Stacked Mass Fractions') plt.title('Age vs. Mass Fractions') #plt.xlim(np.min(x)-bwidth[0], np.max(x)+bwidth[len(bwidth)-1]/2.0) plt.xlim(np.min(start), np.max(end)) plt.ylim(0,1) plt.plot(0,0, label=tag[1], c='k') plt.plot(0,0, label=tag[2], c='k') plt.legend(loc=2,prop={'size':6.0}) plt.show() outdirs=outdir+tag[0]+'agebin.pdf' f.savefig(outdirs) print(outdirs) def age_plot1(x,y, start, end, yerr, tag=''): #print('x spacing: ', xspace) print('x_center values: ', x) print('y values= ', y) print('y errors= ', yerr) start=np.array(start) end=np.array(end) arange=end-start arange=arange bwidth=arange print('bar width=', bwidth) print(len(bwidth)) f=plt.figure() labels=np.append(start, end[len(end)-1]) #print('labels', labels) xspace=np.linspace(np.min(labels), np.max(labels), num=len(labels)) label=[str(n) for n in labels] xsp=[math.log10(n) for n in labels] #print(xsp) #print(label) #plt.bar(x, y, width=bwidth, align='center', color='None') plt.bar(x, y, width=bwidth, align='center', color='None') plt.errorbar(x, y, yerr=yerr,label='Standard Error on the Mean per Age Bin', fmt='.', color='b') plt.xlabel('Lookback Time (Gyr)') plt.xscale('log') #plt.xticks(labels, label=labels, fontsize=8, rotation='vertical') #smushed plt.xticks(xsp, label=labels, fontsize=8, rotation='vertical') #plt.xticks(xspace, label=labels, fontsize=8, rotation='vertical') #ticks dont align with bar graph plt.ylabel('Stacked Mass Fractions') plt.title('Age vs. Mass Fractions') #plt.xlim(np.min(x)-bwidth[0], np.max(x)+bwidth[len(bwidth)-1]/2.0) plt.xlim(np.min(start), np.max(end)) nmax=np.max(y)+yerr[len(yerr)-1] if nmax<1: nmax=1 plt.ylim(0,nmax) plt.plot(0,0, label=tag[1], c='k') plt.plot(0,0, label=tag[2], c='k', marker='*') plt.plot(0,0, label=tag[3], c='k', marker=' ') plt.legend(loc=2,prop={'size':7.0}) plt.show() outdirs=outdir+tag[0]+'agebin.pdf' f.savefig(outdirs) print(outdirs)

29.39604

100

0.67969

507

2,969

3.968442

0.220907

0.006958

0.047217

0.049702

0.813121

0.733101

0

0.018272

0.11519

2,969

100

101

29.69

0.747621

0.223308

0

0.608696

0

0.176213

0.03192

0

1

0.028986

false

0

0.057971

0

0.086957

0.173913

0

null

0

1

0

null

0

6

8d0474f0952dfddc61315423d976aca53f42cc4f

161

py

Python

sbaas/analysis/analysis_base/__init__.py

SBRG/sbaas

9df76bbffdd620cf8566744a2b0503935998fbe0

[ "Apache-2.0" ]

1

2017-05-13T04:35:08.000Z

sbaas/analysis/analysis_base/__init__.py

SBRG/sbaas

9df76bbffdd620cf8566744a2b0503935998fbe0

[ "Apache-2.0" ]

null

sbaas/analysis/analysis_base/__init__.py

SBRG/sbaas

9df76bbffdd620cf8566744a2b0503935998fbe0

[ "Apache-2.0" ]

2

2017-02-23T19:32:38.000Z

2020-01-14T19:13:05.000Z

from .base_analysis import * from .base_calculate import base_calculate from .base_importData import base_importData from .base_exportData import base_exportData

40.25

44

0.875776

22

161

6.090909

0.318182

0.238806

0

0.093168

161

4

45

40.25

0.917808

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

23c2c91d60c23e2eabbc45c811144133b7451121

1,877

py

Python

api_snippets_v1/migrations/0010_auto_20170221_2156.py

gargrave/snippets-server

06ab97450be7c62c4821c2fb010cd18678e19a0d

[ "MIT" ]

12

2017-05-04T17:59:22.000Z

2021-07-06T07:39:13.000Z

api_snippets_v1/migrations/0010_auto_20170221_2156.py

gargrave/snippets-server

06ab97450be7c62c4821c2fb010cd18678e19a0d

[ "MIT" ]

null

api_snippets_v1/migrations/0010_auto_20170221_2156.py

gargrave/snippets-server

06ab97450be7c62c4821c2fb010cd18678e19a0d

[ "MIT" ]

2

2019-03-18T13:29:57.000Z

2019-04-30T04:20:40.000Z

# -*- coding: utf-8 -*- # Generated by Django 1.9.2 on 2017-02-21 21:56 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('api_snippets_v1', '0009_auto_20170204_1951'), ] operations = [ migrations.AddField( model_name='userprofile', name='category_name_blue', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_gray', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_green', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_orange', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_red', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_teal', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_white', field=models.CharField(blank=True, max_length=16), ), migrations.AddField( model_name='userprofile', name='category_name_yellow', field=models.CharField(blank=True, max_length=16), ), migrations.AlterUniqueTogether( name='tagsnippetrelation', unique_together=set([]), ), ]

31.283333

62

0.584443

182

1,877

5.791209

0.318681

0.136622

0.174573

0.204934

0.72296

0.671727

0.624288

0

0.037519

0.304209

1,877

59

63

31.813559

0.769525

0.035695

0

0.634615

1

0

0.162147

0.012728

0

1

0

false

0

0.038462

0

0.096154

0

null

0

1

0

1

0

1

0

1

0

null

0

6

23e739962e1def6cdce30f83974c51b6b5c37aa7

1,338

py

Python

git_issue_pusher.py

aecobb53/notebook

4ec0478b7c526fd57f4dbe9b2b3835b0e426cccd

[ "MIT" ]

null

git_issue_pusher.py

aecobb53/notebook

4ec0478b7c526fd57f4dbe9b2b3835b0e426cccd

[ "MIT" ]

2

2020-12-01T21:00:53.000Z

2021-01-25T20:44:43.000Z

git_issue_pusher.py

aecobb53/notebook

4ec0478b7c526fd57f4dbe9b2b3835b0e426cccd

[ "MIT" ]

null

import requests owner = 'aecobb53' repo = 'notebook' url = f"http://repos/{owner}/{repo}/issues/1" arguments = { 'title':'example issue for testing' } arguments = { "title": "Found a bug", "body": "I'm having a problem with this.", "assignees": [ "octocat" ], "milestone": 1, "labels": [ "bug" ] } arguments = {} print(f"url: {url}, args:{arguments}") if arguments == {}: print('running without arguments') response = requests.get(url) else: print('running with arguments') response = requests.get(url, arguments) print(response) print(response.status_code) exit() try: print(response.json()) except: print('there is no json data received') # arguments = { # 'title':'example issue for testing' # } # arguments = { # "title": "Found a bug", # "body": "I'm having a problem with this.", # "assignees": [ # "octocat" # ], # "milestone": 1, # "labels": [ # "bug" # ] # } # print(f"url: {url}, args:{arguments}") # if arguments == {}: # print('running without arguments') # response = requests.post(url) # else: # print('running with arguments') # response = requests.post(url, arguments) # print(response) # print(response.status_code) # exit() # try: # print(response.json()) # except: # print('there is no json data received')

18.583333

46

0.604634

155

1,338

5.206452

0.335484

0.096654

0.123916

0.064436

0.904585

0.887237

0.768278

0

0.004753

0.213752

1,338

71

47

18.84507

0.762357

0.432735

0

0.060606

0

0.373973

0

1

0

false

0

0.030303

0

0.030303

0.212121

0

null

0

1

0

null

0

6

9b0ec2a6cb58400abd5080cb4be8884b991dc6ab

274

bzl

Python

third_party/protobuf/deps.bzl

msfschaffner/opentitan-bak

de4cb1bb9e7b707a3ca2a6882d83af7ed2aa1ab8

[ "Apache-2.0" ]

1

2022-01-05T16:53:34.000Z

third_party/protobuf/deps.bzl

msfschaffner/opentitan-bak

de4cb1bb9e7b707a3ca2a6882d83af7ed2aa1ab8

[ "Apache-2.0" ]

2

2021-11-01T15:02:37.000Z

2022-01-17T14:34:36.000Z

third_party/protobuf/deps.bzl

msfschaffner/opentitan-bak

de4cb1bb9e7b707a3ca2a6882d83af7ed2aa1ab8

[ "Apache-2.0" ]

null

# Copyright lowRISC contributors. # Licensed under the Apache License, Version 2.0, see LICENSE for details. # SPDX-License-Identifier: Apache-2.0 load("@com_google_protobuf//:protobuf_deps.bzl", _protobuf_deps = "protobuf_deps") def protobuf_deps(): _protobuf_deps()

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null

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1

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6

f1b3a8dede2af750de20e7e1c9a50f797751b033

120

py

Python

src/autogroceries/shopper/__init__.py

dzhang32/autogroceries

c705ab5918fd9ceaed56326aa7bfdbc4057d007c

[ "MIT" ]

null

src/autogroceries/shopper/__init__.py

dzhang32/autogroceries

c705ab5918fd9ceaed56326aa7bfdbc4057d007c

[ "MIT" ]

null

src/autogroceries/shopper/__init__.py

dzhang32/autogroceries

c705ab5918fd9ceaed56326aa7bfdbc4057d007c

[ "MIT" ]

null

from autogroceries.shopper.Shopper import Shopper from autogroceries.shopper.SainsburysShopper import SainsburysShopper

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69

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120

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null

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6

f1c03bec3bf11d68217c7b5de3497a6b1ed34afa

76

py

Python

dpmhm/datasets/dcase/dcase2021_task2/__init__.py

yanncalec/dpmhm

0a242bc8add0ba1463bb2b63b2c15abb80b83fa7

[ "MIT" ]

null

dpmhm/datasets/dcase/dcase2021_task2/__init__.py

yanncalec/dpmhm

0a242bc8add0ba1463bb2b63b2c15abb80b83fa7

[ "MIT" ]

null

dpmhm/datasets/dcase/dcase2021_task2/__init__.py

yanncalec/dpmhm

0a242bc8add0ba1463bb2b63b2c15abb80b83fa7

[ "MIT" ]

null

"""dcase2021_task2 dataset.""" from .dcase2021_task2 import Dcase2021Task2

19

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null

0

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0

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0

6

9e558e70d7f1a8c40d50f006d3706917c5ec4ea5

69

py

Python

collection_modules/camCollectionPoint/__init__.py

maxakuru/SimpleSensor

655d10ebed5eddb892d036012cb12ccd6b460d2d

[ "Apache-2.0" ]

null

collection_modules/camCollectionPoint/__init__.py

maxakuru/SimpleSensor

655d10ebed5eddb892d036012cb12ccd6b460d2d

[ "Apache-2.0" ]

null

collection_modules/camCollectionPoint/__init__.py

maxakuru/SimpleSensor

655d10ebed5eddb892d036012cb12ccd6b460d2d

[ "Apache-2.0" ]

null

from camCollectionPoint import CamCollectionPoint as CollectionMethod

69

0.927536

6

69

10.666667

0.833333

0

0.072464

69

1

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6

9e7f38f8f3b0bbab9165a83dc8ed100f81134518

30,194

py

Python

sdk/python/pulumi_azure/hpc/_inputs.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

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

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/hpc/_inputs.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

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

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/hpc/_inputs.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

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

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = [ 'CacheAccessPolicyAccessRuleArgs', 'CacheDefaultAccessPolicyArgs', 'CacheDefaultAccessPolicyAccessRuleArgs', 'CacheDirectoryActiveDirectoryArgs', 'CacheDirectoryFlatFileArgs', 'CacheDirectoryLdapArgs', 'CacheDirectoryLdapBindArgs', 'CacheDnsArgs', 'CacheNfsTargetNamespaceJunctionArgs', ] @pulumi.input_type class CacheAccessPolicyAccessRuleArgs: def __init__(__self__, *, access: pulumi.Input[str], scope: pulumi.Input[str], anonymous_gid: Optional[pulumi.Input[int]] = None, anonymous_uid: Optional[pulumi.Input[int]] = None, filter: Optional[pulumi.Input[str]] = None, root_squash_enabled: Optional[pulumi.Input[bool]] = None, submount_access_enabled: Optional[pulumi.Input[bool]] = None, suid_enabled: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] access: The access level for this rule. Possible values are: `rw`, `ro`, `no`. :param pulumi.Input[str] scope: The scope of this rule. The `scope` and (potentially) the `filter` determine which clients match the rule. Possible values are: `default`, `network`, `host`. :param pulumi.Input[int] anonymous_gid: The anonymous GID used when `root_squash_enabled` is `true`. :param pulumi.Input[int] anonymous_uid: The anonymous UID used when `root_squash_enabled` is `true`. :param pulumi.Input[str] filter: The filter applied to the `scope` for this rule. The filter's format depends on its scope: `default` scope matches all clients and has no filter value; `network` scope takes a CIDR format; `host` takes an IP address or fully qualified domain name. If a client does not match any filter rule and there is no default rule, access is denied. :param pulumi.Input[bool] root_squash_enabled: Whether to enable [root squash](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#root-squash)? Defaults to `false`. :param pulumi.Input[bool] submount_access_enabled: Whether allow access to subdirectories under the root export? Defaults to `false`. :param pulumi.Input[bool] suid_enabled: Whether [SUID](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#suid) is allowed? Defaults to `false`. """ pulumi.set(__self__, "access", access) pulumi.set(__self__, "scope", scope) if anonymous_gid is not None: pulumi.set(__self__, "anonymous_gid", anonymous_gid) if anonymous_uid is not None: pulumi.set(__self__, "anonymous_uid", anonymous_uid) if filter is not None: pulumi.set(__self__, "filter", filter) if root_squash_enabled is not None: pulumi.set(__self__, "root_squash_enabled", root_squash_enabled) if submount_access_enabled is not None: pulumi.set(__self__, "submount_access_enabled", submount_access_enabled) if suid_enabled is not None: pulumi.set(__self__, "suid_enabled", suid_enabled) @property @pulumi.getter def access(self) -> pulumi.Input[str]: """ The access level for this rule. Possible values are: `rw`, `ro`, `no`. """ return pulumi.get(self, "access") @access.setter def access(self, value: pulumi.Input[str]): pulumi.set(self, "access", value) @property @pulumi.getter def scope(self) -> pulumi.Input[str]: """ The scope of this rule. The `scope` and (potentially) the `filter` determine which clients match the rule. Possible values are: `default`, `network`, `host`. """ return pulumi.get(self, "scope") @scope.setter def scope(self, value: pulumi.Input[str]): pulumi.set(self, "scope", value) @property @pulumi.getter(name="anonymousGid") def anonymous_gid(self) -> Optional[pulumi.Input[int]]: """ The anonymous GID used when `root_squash_enabled` is `true`. """ return pulumi.get(self, "anonymous_gid") @anonymous_gid.setter def anonymous_gid(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "anonymous_gid", value) @property @pulumi.getter(name="anonymousUid") def anonymous_uid(self) -> Optional[pulumi.Input[int]]: """ The anonymous UID used when `root_squash_enabled` is `true`. """ return pulumi.get(self, "anonymous_uid") @anonymous_uid.setter def anonymous_uid(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "anonymous_uid", value) @property @pulumi.getter def filter(self) -> Optional[pulumi.Input[str]]: """ The filter applied to the `scope` for this rule. The filter's format depends on its scope: `default` scope matches all clients and has no filter value; `network` scope takes a CIDR format; `host` takes an IP address or fully qualified domain name. If a client does not match any filter rule and there is no default rule, access is denied. """ return pulumi.get(self, "filter") @filter.setter def filter(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "filter", value) @property @pulumi.getter(name="rootSquashEnabled") def root_squash_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to enable [root squash](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#root-squash)? Defaults to `false`. """ return pulumi.get(self, "root_squash_enabled") @root_squash_enabled.setter def root_squash_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "root_squash_enabled", value) @property @pulumi.getter(name="submountAccessEnabled") def submount_access_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether allow access to subdirectories under the root export? Defaults to `false`. """ return pulumi.get(self, "submount_access_enabled") @submount_access_enabled.setter def submount_access_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "submount_access_enabled", value) @property @pulumi.getter(name="suidEnabled") def suid_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether [SUID](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#suid) is allowed? Defaults to `false`. """ return pulumi.get(self, "suid_enabled") @suid_enabled.setter def suid_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "suid_enabled", value) @pulumi.input_type class CacheDefaultAccessPolicyArgs: def __init__(__self__, *, access_rules: pulumi.Input[Sequence[pulumi.Input['CacheDefaultAccessPolicyAccessRuleArgs']]]): """ :param pulumi.Input[Sequence[pulumi.Input['CacheDefaultAccessPolicyAccessRuleArgs']]] access_rules: One to three `access_rule` blocks as defined above. """ pulumi.set(__self__, "access_rules", access_rules) @property @pulumi.getter(name="accessRules") def access_rules(self) -> pulumi.Input[Sequence[pulumi.Input['CacheDefaultAccessPolicyAccessRuleArgs']]]: """ One to three `access_rule` blocks as defined above. """ return pulumi.get(self, "access_rules") @access_rules.setter def access_rules(self, value: pulumi.Input[Sequence[pulumi.Input['CacheDefaultAccessPolicyAccessRuleArgs']]]): pulumi.set(self, "access_rules", value) @pulumi.input_type class CacheDefaultAccessPolicyAccessRuleArgs: def __init__(__self__, *, access: pulumi.Input[str], scope: pulumi.Input[str], anonymous_gid: Optional[pulumi.Input[int]] = None, anonymous_uid: Optional[pulumi.Input[int]] = None, filter: Optional[pulumi.Input[str]] = None, root_squash_enabled: Optional[pulumi.Input[bool]] = None, submount_access_enabled: Optional[pulumi.Input[bool]] = None, suid_enabled: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] access: The access level for this rule. Possible values are: `rw`, `ro`, `no`. :param pulumi.Input[str] scope: The scope of this rule. The `scope` and (potentially) the `filter` determine which clients match the rule. Possible values are: `default`, `network`, `host`. :param pulumi.Input[int] anonymous_gid: The anonymous GID used when `root_squash_enabled` is `true`. :param pulumi.Input[int] anonymous_uid: The anonymous UID used when `root_squash_enabled` is `true`. :param pulumi.Input[str] filter: The filter applied to the `scope` for this rule. The filter's format depends on its scope: `default` scope matches all clients and has no filter value; `network` scope takes a CIDR format; `host` takes an IP address or fully qualified domain name. If a client does not match any filter rule and there is no default rule, access is denied. :param pulumi.Input[bool] root_squash_enabled: Whether to enable [root squash](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#root-squash)? Defaults to `false`. :param pulumi.Input[bool] submount_access_enabled: Whether allow access to subdirectories under the root export? Defaults to `false`. :param pulumi.Input[bool] suid_enabled: Whether [SUID](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#suid) is allowed? Defaults to `false`. """ pulumi.set(__self__, "access", access) pulumi.set(__self__, "scope", scope) if anonymous_gid is not None: pulumi.set(__self__, "anonymous_gid", anonymous_gid) if anonymous_uid is not None: pulumi.set(__self__, "anonymous_uid", anonymous_uid) if filter is not None: pulumi.set(__self__, "filter", filter) if root_squash_enabled is not None: pulumi.set(__self__, "root_squash_enabled", root_squash_enabled) if submount_access_enabled is not None: pulumi.set(__self__, "submount_access_enabled", submount_access_enabled) if suid_enabled is not None: pulumi.set(__self__, "suid_enabled", suid_enabled) @property @pulumi.getter def access(self) -> pulumi.Input[str]: """ The access level for this rule. Possible values are: `rw`, `ro`, `no`. """ return pulumi.get(self, "access") @access.setter def access(self, value: pulumi.Input[str]): pulumi.set(self, "access", value) @property @pulumi.getter def scope(self) -> pulumi.Input[str]: """ The scope of this rule. The `scope` and (potentially) the `filter` determine which clients match the rule. Possible values are: `default`, `network`, `host`. """ return pulumi.get(self, "scope") @scope.setter def scope(self, value: pulumi.Input[str]): pulumi.set(self, "scope", value) @property @pulumi.getter(name="anonymousGid") def anonymous_gid(self) -> Optional[pulumi.Input[int]]: """ The anonymous GID used when `root_squash_enabled` is `true`. """ return pulumi.get(self, "anonymous_gid") @anonymous_gid.setter def anonymous_gid(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "anonymous_gid", value) @property @pulumi.getter(name="anonymousUid") def anonymous_uid(self) -> Optional[pulumi.Input[int]]: """ The anonymous UID used when `root_squash_enabled` is `true`. """ return pulumi.get(self, "anonymous_uid") @anonymous_uid.setter def anonymous_uid(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "anonymous_uid", value) @property @pulumi.getter def filter(self) -> Optional[pulumi.Input[str]]: """ The filter applied to the `scope` for this rule. The filter's format depends on its scope: `default` scope matches all clients and has no filter value; `network` scope takes a CIDR format; `host` takes an IP address or fully qualified domain name. If a client does not match any filter rule and there is no default rule, access is denied. """ return pulumi.get(self, "filter") @filter.setter def filter(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "filter", value) @property @pulumi.getter(name="rootSquashEnabled") def root_squash_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether to enable [root squash](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#root-squash)? Defaults to `false`. """ return pulumi.get(self, "root_squash_enabled") @root_squash_enabled.setter def root_squash_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "root_squash_enabled", value) @property @pulumi.getter(name="submountAccessEnabled") def submount_access_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether allow access to subdirectories under the root export? Defaults to `false`. """ return pulumi.get(self, "submount_access_enabled") @submount_access_enabled.setter def submount_access_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "submount_access_enabled", value) @property @pulumi.getter(name="suidEnabled") def suid_enabled(self) -> Optional[pulumi.Input[bool]]: """ Whether [SUID](https://docs.microsoft.com/en-us/azure/hpc-cache/access-policies#suid) is allowed? Defaults to `false`. """ return pulumi.get(self, "suid_enabled") @suid_enabled.setter def suid_enabled(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "suid_enabled", value) @pulumi.input_type class CacheDirectoryActiveDirectoryArgs: def __init__(__self__, *, cache_netbios_name: pulumi.Input[str], dns_primary_ip: pulumi.Input[str], domain_name: pulumi.Input[str], domain_netbios_name: pulumi.Input[str], password: pulumi.Input[str], username: pulumi.Input[str], dns_secondary_ip: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] cache_netbios_name: The NetBIOS name to assign to the HPC Cache when it joins the Active Directory domain as a server. :param pulumi.Input[str] dns_primary_ip: The primary DNS IP address used to resolve the Active Directory domain controller's FQDN. :param pulumi.Input[str] domain_name: The fully qualified domain name of the Active Directory domain controller. :param pulumi.Input[str] domain_netbios_name: The Active Directory domain's NetBIOS name. :param pulumi.Input[str] password: The password of the Active Directory domain administrator. :param pulumi.Input[str] username: The username of the Active Directory domain administrator. :param pulumi.Input[str] dns_secondary_ip: The secondary DNS IP address used to resolve the Active Directory domain controller's FQDN. """ pulumi.set(__self__, "cache_netbios_name", cache_netbios_name) pulumi.set(__self__, "dns_primary_ip", dns_primary_ip) pulumi.set(__self__, "domain_name", domain_name) pulumi.set(__self__, "domain_netbios_name", domain_netbios_name) pulumi.set(__self__, "password", password) pulumi.set(__self__, "username", username) if dns_secondary_ip is not None: pulumi.set(__self__, "dns_secondary_ip", dns_secondary_ip) @property @pulumi.getter(name="cacheNetbiosName") def cache_netbios_name(self) -> pulumi.Input[str]: """ The NetBIOS name to assign to the HPC Cache when it joins the Active Directory domain as a server. """ return pulumi.get(self, "cache_netbios_name") @cache_netbios_name.setter def cache_netbios_name(self, value: pulumi.Input[str]): pulumi.set(self, "cache_netbios_name", value) @property @pulumi.getter(name="dnsPrimaryIp") def dns_primary_ip(self) -> pulumi.Input[str]: """ The primary DNS IP address used to resolve the Active Directory domain controller's FQDN. """ return pulumi.get(self, "dns_primary_ip") @dns_primary_ip.setter def dns_primary_ip(self, value: pulumi.Input[str]): pulumi.set(self, "dns_primary_ip", value) @property @pulumi.getter(name="domainName") def domain_name(self) -> pulumi.Input[str]: """ The fully qualified domain name of the Active Directory domain controller. """ return pulumi.get(self, "domain_name") @domain_name.setter def domain_name(self, value: pulumi.Input[str]): pulumi.set(self, "domain_name", value) @property @pulumi.getter(name="domainNetbiosName") def domain_netbios_name(self) -> pulumi.Input[str]: """ The Active Directory domain's NetBIOS name. """ return pulumi.get(self, "domain_netbios_name") @domain_netbios_name.setter def domain_netbios_name(self, value: pulumi.Input[str]): pulumi.set(self, "domain_netbios_name", value) @property @pulumi.getter def password(self) -> pulumi.Input[str]: """ The password of the Active Directory domain administrator. """ return pulumi.get(self, "password") @password.setter def password(self, value: pulumi.Input[str]): pulumi.set(self, "password", value) @property @pulumi.getter def username(self) -> pulumi.Input[str]: """ The username of the Active Directory domain administrator. """ return pulumi.get(self, "username") @username.setter def username(self, value: pulumi.Input[str]): pulumi.set(self, "username", value) @property @pulumi.getter(name="dnsSecondaryIp") def dns_secondary_ip(self) -> Optional[pulumi.Input[str]]: """ The secondary DNS IP address used to resolve the Active Directory domain controller's FQDN. """ return pulumi.get(self, "dns_secondary_ip") @dns_secondary_ip.setter def dns_secondary_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "dns_secondary_ip", value) @pulumi.input_type class CacheDirectoryFlatFileArgs: def __init__(__self__, *, group_file_uri: pulumi.Input[str], password_file_uri: pulumi.Input[str]): """ :param pulumi.Input[str] group_file_uri: The URI of the file containing group information (`/etc/group` file format in Unix-like OS). :param pulumi.Input[str] password_file_uri: The URI of the file containing user information (`/etc/passwd` file format in Unix-like OS). """ pulumi.set(__self__, "group_file_uri", group_file_uri) pulumi.set(__self__, "password_file_uri", password_file_uri) @property @pulumi.getter(name="groupFileUri") def group_file_uri(self) -> pulumi.Input[str]: """ The URI of the file containing group information (`/etc/group` file format in Unix-like OS). """ return pulumi.get(self, "group_file_uri") @group_file_uri.setter def group_file_uri(self, value: pulumi.Input[str]): pulumi.set(self, "group_file_uri", value) @property @pulumi.getter(name="passwordFileUri") def password_file_uri(self) -> pulumi.Input[str]: """ The URI of the file containing user information (`/etc/passwd` file format in Unix-like OS). """ return pulumi.get(self, "password_file_uri") @password_file_uri.setter def password_file_uri(self, value: pulumi.Input[str]): pulumi.set(self, "password_file_uri", value) @pulumi.input_type class CacheDirectoryLdapArgs: def __init__(__self__, *, base_dn: pulumi.Input[str], server: pulumi.Input[str], bind: Optional[pulumi.Input['CacheDirectoryLdapBindArgs']] = None, certificate_validation_uri: Optional[pulumi.Input[str]] = None, download_certificate_automatically: Optional[pulumi.Input[bool]] = None, encrypted: Optional[pulumi.Input[bool]] = None): """ :param pulumi.Input[str] base_dn: The base distinguished name (DN) for the LDAP domain. :param pulumi.Input[str] server: The FQDN or IP address of the LDAP server. :param pulumi.Input['CacheDirectoryLdapBindArgs'] bind: A `bind` block as defined above. :param pulumi.Input[str] certificate_validation_uri: The URI of the CA certificate to validate the LDAP secure connection. :param pulumi.Input[bool] download_certificate_automatically: Whether the certificate should be automatically downloaded. This can be set to `true` only when `certificate_validation_uri` is provided. Defaults to `false`. :param pulumi.Input[bool] encrypted: Whether the LDAP connection should be encrypted? Defaults to `false`. """ pulumi.set(__self__, "base_dn", base_dn) pulumi.set(__self__, "server", server) if bind is not None: pulumi.set(__self__, "bind", bind) if certificate_validation_uri is not None: pulumi.set(__self__, "certificate_validation_uri", certificate_validation_uri) if download_certificate_automatically is not None: pulumi.set(__self__, "download_certificate_automatically", download_certificate_automatically) if encrypted is not None: pulumi.set(__self__, "encrypted", encrypted) @property @pulumi.getter(name="baseDn") def base_dn(self) -> pulumi.Input[str]: """ The base distinguished name (DN) for the LDAP domain. """ return pulumi.get(self, "base_dn") @base_dn.setter def base_dn(self, value: pulumi.Input[str]): pulumi.set(self, "base_dn", value) @property @pulumi.getter def server(self) -> pulumi.Input[str]: """ The FQDN or IP address of the LDAP server. """ return pulumi.get(self, "server") @server.setter def server(self, value: pulumi.Input[str]): pulumi.set(self, "server", value) @property @pulumi.getter def bind(self) -> Optional[pulumi.Input['CacheDirectoryLdapBindArgs']]: """ A `bind` block as defined above. """ return pulumi.get(self, "bind") @bind.setter def bind(self, value: Optional[pulumi.Input['CacheDirectoryLdapBindArgs']]): pulumi.set(self, "bind", value) @property @pulumi.getter(name="certificateValidationUri") def certificate_validation_uri(self) -> Optional[pulumi.Input[str]]: """ The URI of the CA certificate to validate the LDAP secure connection. """ return pulumi.get(self, "certificate_validation_uri") @certificate_validation_uri.setter def certificate_validation_uri(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "certificate_validation_uri", value) @property @pulumi.getter(name="downloadCertificateAutomatically") def download_certificate_automatically(self) -> Optional[pulumi.Input[bool]]: """ Whether the certificate should be automatically downloaded. This can be set to `true` only when `certificate_validation_uri` is provided. Defaults to `false`. """ return pulumi.get(self, "download_certificate_automatically") @download_certificate_automatically.setter def download_certificate_automatically(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "download_certificate_automatically", value) @property @pulumi.getter def encrypted(self) -> Optional[pulumi.Input[bool]]: """ Whether the LDAP connection should be encrypted? Defaults to `false`. """ return pulumi.get(self, "encrypted") @encrypted.setter def encrypted(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "encrypted", value) @pulumi.input_type class CacheDirectoryLdapBindArgs: def __init__(__self__, *, dn: pulumi.Input[str], password: pulumi.Input[str]): """ :param pulumi.Input[str] dn: The Bind Distinguished Name (DN) identity to be used in the secure LDAP connection. :param pulumi.Input[str] password: The Bind password to be used in the secure LDAP connection. """ pulumi.set(__self__, "dn", dn) pulumi.set(__self__, "password", password) @property @pulumi.getter def dn(self) -> pulumi.Input[str]: """ The Bind Distinguished Name (DN) identity to be used in the secure LDAP connection. """ return pulumi.get(self, "dn") @dn.setter def dn(self, value: pulumi.Input[str]): pulumi.set(self, "dn", value) @property @pulumi.getter def password(self) -> pulumi.Input[str]: """ The Bind password to be used in the secure LDAP connection. """ return pulumi.get(self, "password") @password.setter def password(self, value: pulumi.Input[str]): pulumi.set(self, "password", value) @pulumi.input_type class CacheDnsArgs: def __init__(__self__, *, servers: pulumi.Input[Sequence[pulumi.Input[str]]], search_domain: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[Sequence[pulumi.Input[str]]] servers: A list of DNS servers for the HPC Cache. At most three IP(s) are allowed to set. :param pulumi.Input[str] search_domain: The DNS search domain for the HPC Cache. """ pulumi.set(__self__, "servers", servers) if search_domain is not None: pulumi.set(__self__, "search_domain", search_domain) @property @pulumi.getter def servers(self) -> pulumi.Input[Sequence[pulumi.Input[str]]]: """ A list of DNS servers for the HPC Cache. At most three IP(s) are allowed to set. """ return pulumi.get(self, "servers") @servers.setter def servers(self, value: pulumi.Input[Sequence[pulumi.Input[str]]]): pulumi.set(self, "servers", value) @property @pulumi.getter(name="searchDomain") def search_domain(self) -> Optional[pulumi.Input[str]]: """ The DNS search domain for the HPC Cache. """ return pulumi.get(self, "search_domain") @search_domain.setter def search_domain(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "search_domain", value) @pulumi.input_type class CacheNfsTargetNamespaceJunctionArgs: def __init__(__self__, *, namespace_path: pulumi.Input[str], nfs_export: pulumi.Input[str], access_policy_name: Optional[pulumi.Input[str]] = None, target_path: Optional[pulumi.Input[str]] = None): """ :param pulumi.Input[str] namespace_path: The client-facing file path of this NFS target within the HPC Cache NFS Target. :param pulumi.Input[str] nfs_export: The NFS export of this NFS target within the HPC Cache NFS Target. :param pulumi.Input[str] access_policy_name: The name of the access policy applied to this target. Defaults to `default`. :param pulumi.Input[str] target_path: The relative subdirectory path from the `nfs_export` to map to the `namespace_path`. Defaults to `""`, in which case the whole `nfs_export` is exported. """ pulumi.set(__self__, "namespace_path", namespace_path) pulumi.set(__self__, "nfs_export", nfs_export) if access_policy_name is not None: pulumi.set(__self__, "access_policy_name", access_policy_name) if target_path is not None: pulumi.set(__self__, "target_path", target_path) @property @pulumi.getter(name="namespacePath") def namespace_path(self) -> pulumi.Input[str]: """ The client-facing file path of this NFS target within the HPC Cache NFS Target. """ return pulumi.get(self, "namespace_path") @namespace_path.setter def namespace_path(self, value: pulumi.Input[str]): pulumi.set(self, "namespace_path", value) @property @pulumi.getter(name="nfsExport") def nfs_export(self) -> pulumi.Input[str]: """ The NFS export of this NFS target within the HPC Cache NFS Target. """ return pulumi.get(self, "nfs_export") @nfs_export.setter def nfs_export(self, value: pulumi.Input[str]): pulumi.set(self, "nfs_export", value) @property @pulumi.getter(name="accessPolicyName") def access_policy_name(self) -> Optional[pulumi.Input[str]]: """ The name of the access policy applied to this target. Defaults to `default`. """ return pulumi.get(self, "access_policy_name") @access_policy_name.setter def access_policy_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "access_policy_name", value) @property @pulumi.getter(name="targetPath") def target_path(self) -> Optional[pulumi.Input[str]]: """ The relative subdirectory path from the `nfs_export` to map to the `namespace_path`. Defaults to `""`, in which case the whole `nfs_export` is exported. """ return pulumi.get(self, "target_path") @target_path.setter def target_path(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "target_path", value)

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null

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1

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1

0

6

9e9d18f5c80b72f9753e446d60b697ce4f9b7c3b

98

py

Python

mindsdb/api/mongo/functions/__init__.py

yarenty/mindsdb

9164bca6f45fd0f5ec329babe973f286ffe59709

[ "MIT" ]

261

2018-09-28T02:32:17.000Z

2018-12-10T06:30:54.000Z

mindsdb/api/mongo/functions/__init__.py

yarenty/mindsdb

9164bca6f45fd0f5ec329babe973f286ffe59709

[ "MIT" ]

27

2018-09-26T08:49:11.000Z

2018-12-10T14:42:52.000Z

mindsdb/api/mongo/functions/__init__.py

yarenty/mindsdb

9164bca6f45fd0f5ec329babe973f286ffe59709

[ "MIT" ]

46

2018-10-06T10:11:18.000Z

2018-12-10T04:02:17.000Z

def is_true(val): return bool(val) is True def is_false(val): return bool(val) is False

14

29

0.673469

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98

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0

null

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0

1

0

6

7b622f19cc39a5956c211ff27ef8af6c5d18a3b9

32

py

Python

binreconfiguration/simulator/__init__.py

vialette/binreconfiguration

57cc024fdcf9b083a830270176ade185b65a85d0

[ "MIT" ]

null

binreconfiguration/simulator/__init__.py

vialette/binreconfiguration

57cc024fdcf9b083a830270176ade185b65a85d0

[ "MIT" ]

null

binreconfiguration/simulator/__init__.py

vialette/binreconfiguration

57cc024fdcf9b083a830270176ade185b65a85d0

[ "MIT" ]

null

from .simulator import Simulator

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1

0

1

0

1

0

6

7b77ddc8daf2cdf13b6b2513a9e5bf2f25bd123e

100

py

Python

keyboard.py

StepaTa/vkbottle

3b04a5343380cbabe782151e7cb1c1645a9fa9ce

[ "MIT" ]

null

keyboard.py

StepaTa/vkbottle

3b04a5343380cbabe782151e7cb1c1645a9fa9ce

[ "MIT" ]

null

keyboard.py

StepaTa/vkbottle

3b04a5343380cbabe782151e7cb1c1645a9fa9ce

[ "MIT" ]

null

from .api.keyboard import Keyboard, KeyboardButton, keyboard_gen from .api.keyboard.action import *

33.333333

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6

7ba0c72e993dbdcf9d69c9eed42c6a8478bc9c43

47

py

Python

algo_trader/clients/__init__.py

dignitas123/algo_trader

a7f85bc063eb23e492a06187efb5f7af87d3cd2e

[ "MIT" ]

4

2020-06-12T08:59:06.000Z

2022-03-18T18:52:33.000Z

algo_trader/clients/__init__.py

dignitas123/algo_trader

a7f85bc063eb23e492a06187efb5f7af87d3cd2e

[ "MIT" ]

5

2022-01-13T16:29:50.000Z

2022-01-17T05:54:27.000Z

algo_trader/clients/__init__.py

dignitas123/algo_trader

a7f85bc063eb23e492a06187efb5f7af87d3cd2e

[ "MIT" ]

1

2022-03-31T07:04:51.000Z

from algo_trader.clients.bitmex_client import *

47

0.87234

7

47

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1

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47

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0.886364

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6

c86e3a096bf4cb63d26093e9e12241d750a913fe

172

py

Python

example.py

shobeiry/Sudoku

5f79251d9c0faff8478d43f1c6ed92a6b740bb77

[ "MIT" ]

null

example.py

shobeiry/Sudoku

5f79251d9c0faff8478d43f1c6ed92a6b740bb77

[ "MIT" ]

null

example.py

shobeiry/Sudoku

5f79251d9c0faff8478d43f1c6ed92a6b740bb77

[ "MIT" ]

null

from src.sudoku import Sudoku import numpy as np if __name__ == '__main__': s = Sudoku(25) print(np.array(s.new_game())) print(np.array(s.board)) # s.get()

21.5

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null

0

1

0

6

c8802fb6fc9df2cda148b074e9887f422145f8c4

30

py

Python

DisnakePaginator/__init__.py

MahediZaber51/DisnakePaginator

f66b1b07b112821551a60c35a22cb61c26585fbf

[ "MIT" ]

null

DisnakePaginator/__init__.py

MahediZaber51/DisnakePaginator

f66b1b07b112821551a60c35a22cb61c26585fbf

[ "MIT" ]

null

DisnakePaginator/__init__.py

MahediZaber51/DisnakePaginator

f66b1b07b112821551a60c35a22cb61c26585fbf

[ "MIT" ]

null

from .Paginator import Create

15

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null

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1

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1

0

1

0

6

c8db4cc45cce64c04b245b56fac59f2f23c68523

14,276

py

Python

tests/app/clients/test_cbc_proxy.py

tlwr/notifications-api

88a6b7729edb9be41ce3e7c027f1452b7b6d00d2

[ "MIT" ]

null

tests/app/clients/test_cbc_proxy.py

tlwr/notifications-api

88a6b7729edb9be41ce3e7c027f1452b7b6d00d2

[ "MIT" ]

null

tests/app/clients/test_cbc_proxy.py

tlwr/notifications-api

88a6b7729edb9be41ce3e7c027f1452b7b6d00d2

[ "MIT" ]

null

import json import uuid from collections import namedtuple from datetime import datetime from unittest.mock import Mock import pytest from app.clients.cbc_proxy import CBCProxyClient, CBCProxyException, CBCProxyEE, CBCProxyCanary from app.utils import DATETIME_FORMAT @pytest.fixture(scope='function') def cbc_proxy_client(client, mocker): client = CBCProxyClient() current_app = mocker.Mock(config={ 'CBC_PROXY_AWS_ACCESS_KEY_ID': 'cbc-proxy-aws-access-key-id', 'CBC_PROXY_AWS_SECRET_ACCESS_KEY': 'cbc-proxy-aws-secret-access-key', 'CBC_PROXY_ENABLED': True, }) client.init_app(current_app) return client @pytest.fixture def cbc_proxy_ee(cbc_proxy_client): return cbc_proxy_client.get_proxy('ee') @pytest.fixture def cbc_proxy_vodafone(cbc_proxy_client): return cbc_proxy_client.get_proxy('vodafone') @pytest.mark.parametrize('provider_name, expected_provider_class', [ ('ee', CBCProxyEE), ('canary', CBCProxyCanary), ]) def test_cbc_proxy_client_returns_correct_client(provider_name, expected_provider_class): mock_lambda = Mock() cbc_proxy_client = CBCProxyClient() cbc_proxy_client._lambda_client = mock_lambda ret = cbc_proxy_client.get_proxy(provider_name) assert type(ret) == expected_provider_class assert ret._lambda_client == mock_lambda def test_cbc_proxy_lambda_client_has_correct_region(cbc_proxy_ee): assert cbc_proxy_ee._lambda_client._client_config.region_name == 'eu-west-2' def test_cbc_proxy_lambda_client_has_correct_keys(cbc_proxy_ee): key = cbc_proxy_ee._lambda_client._request_signer._credentials.access_key secret = cbc_proxy_ee._lambda_client._request_signer._credentials.secret_key assert key == 'cbc-proxy-aws-access-key-id' assert secret == 'cbc-proxy-aws-secret-access-key' @pytest.mark.parametrize('description, expected_language', ( ('my-description', 'en-GB'), ('mŷ-description', 'cy-GB'), )) def test_cbc_proxy_ee_create_and_send_invokes_function( mocker, cbc_proxy_ee, description, expected_language, ): identifier = 'my-identifier' headline = 'my-headline' sent = 'a-passed-through-sent-value' expires = 'a-passed-through-expires-value' # a single area which is a square including london areas = [{ 'description': 'london', 'polygon': [ [51.12, -1.2], [51.12, 1.2], [51.74, 1.2], [51.74, -1.2], [51.12, -1.2], ], }] ld_client_mock = mocker.patch.object( cbc_proxy_ee, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } cbc_proxy_ee.create_and_send_broadcast( identifier=identifier, message_number='0000007b', headline=headline, description=description, areas=areas, sent=sent, expires=expires, ) ld_client_mock.invoke.assert_called_once_with( FunctionName='bt-ee-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier assert 'message_number' not in payload assert payload['message_format'] == 'cap' assert payload['message_type'] == 'alert' assert payload['headline'] == headline assert payload['description'] == description assert payload['areas'] == areas assert payload['sent'] == sent assert payload['expires'] == expires assert payload['language'] == expected_language def test_cbc_proxy_ee_cancel_invokes_function(mocker, cbc_proxy_ee): identifier = 'my-identifier' MockProviderMessage = namedtuple( 'BroadcastProviderMessage', ['id', 'message_number', 'created_at'] ) provider_messages = [ MockProviderMessage(uuid.uuid4(), '0000007b', datetime(2020, 12, 16)), MockProviderMessage(uuid.uuid4(), '0000004e', datetime(2020, 12, 17)) ] sent = '2020-12-17 14:19:44.130585' ld_client_mock = mocker.patch.object( cbc_proxy_ee, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } cbc_proxy_ee.cancel_broadcast( identifier=identifier, message_number='00000050', previous_provider_messages=provider_messages, sent=sent ) ld_client_mock.invoke.assert_called_once_with( FunctionName='bt-ee-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier assert 'message_number' not in payload assert payload['message_format'] == 'cap' assert payload['message_type'] == 'cancel' assert payload['references'] == [ { "message_id": str(provider_messages[0].id), "sent": provider_messages[0].created_at.strftime(DATETIME_FORMAT) }, { "message_id": str(provider_messages[1].id), "sent": provider_messages[1].created_at.strftime(DATETIME_FORMAT) }, ] assert payload['sent'] == sent @pytest.mark.parametrize('description, expected_language', ( ('my-description', 'English'), ('mŷ-description', 'Welsh'), )) def test_cbc_proxy_vodafone_create_and_send_invokes_function( mocker, cbc_proxy_vodafone, description, expected_language, ): identifier = 'my-identifier' headline = 'my-headline' sent = 'a-passed-through-sent-value' expires = 'a-passed-through-expires-value' # a single area which is a square including london areas = [{ 'description': 'london', 'polygon': [ [51.12, -1.2], [51.12, 1.2], [51.74, 1.2], [51.74, -1.2], [51.12, -1.2], ], }] ld_client_mock = mocker.patch.object( cbc_proxy_vodafone, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } cbc_proxy_vodafone.create_and_send_broadcast( identifier=identifier, message_number='0000007b', headline=headline, description=description, areas=areas, sent=sent, expires=expires, ) ld_client_mock.invoke.assert_called_once_with( FunctionName='vodafone-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier assert payload['message_number'] == '0000007b' assert payload['message_format'] == 'ibag' assert payload['message_type'] == 'alert' assert payload['headline'] == headline assert payload['description'] == description assert payload['areas'] == areas assert payload['sent'] == sent assert payload['expires'] == expires assert payload['language'] == expected_language def test_cbc_proxy_vodafone_cancel_invokes_function(mocker, cbc_proxy_vodafone): identifier = 'my-identifier' MockProviderMessage = namedtuple( 'BroadcastProviderMessage', ['id', 'message_number', 'created_at'] ) provider_messages = [ MockProviderMessage(uuid.uuid4(), 78, datetime(2020, 12, 16)), MockProviderMessage(uuid.uuid4(), 123, datetime(2020, 12, 17)) ] sent = '2020-12-18 14:19:44.130585' ld_client_mock = mocker.patch.object( cbc_proxy_vodafone, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } cbc_proxy_vodafone.cancel_broadcast( identifier=identifier, message_number='00000050', previous_provider_messages=provider_messages, sent=sent ) ld_client_mock.invoke.assert_called_once_with( FunctionName='vodafone-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier assert payload['message_number'] == '00000050' assert payload['message_format'] == 'ibag' assert payload['message_type'] == 'cancel' assert payload['references'] == [ { "message_id": str(provider_messages[0].id), "message_number": '0000004e', "sent": provider_messages[0].created_at.strftime(DATETIME_FORMAT) }, { "message_id": str(provider_messages[1].id), "message_number": '0000007b', "sent": provider_messages[1].created_at.strftime(DATETIME_FORMAT) }, ] assert payload['sent'] == sent def test_cbc_proxy_create_and_send_handles_invoke_error(mocker, cbc_proxy_ee): identifier = 'my-identifier' headline = 'my-headline' description = 'my-description' sent = 'a-passed-through-sent-value' expires = 'a-passed-through-expires-value' # a single area which is a square including london areas = [{ 'description': 'london', 'polygon': [ [51.12, -1.2], [51.12, 1.2], [51.74, 1.2], [51.74, -1.2], [51.12, -1.2], ], }] ld_client_mock = mocker.patch.object( cbc_proxy_ee, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 400, } with pytest.raises(CBCProxyException) as e: cbc_proxy_ee.create_and_send_broadcast( identifier=identifier, message_number='0000007b', headline=headline, description=description, areas=areas, sent=sent, expires=expires, ) assert e.match('Could not invoke lambda') ld_client_mock.invoke.assert_called_once_with( FunctionName='bt-ee-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) def test_cbc_proxy_create_and_send_handles_function_error(mocker, cbc_proxy_ee): identifier = 'my-identifier' headline = 'my-headline' description = 'my-description' sent = 'a-passed-through-sent-value' expires = 'a-passed-through-expires-value' # a single area which is a square including london areas = [{ 'description': 'london', 'polygon': [ [51.12, -1.2], [51.12, 1.2], [51.74, 1.2], [51.74, -1.2], [51.12, -1.2], ], }] ld_client_mock = mocker.patch.object( cbc_proxy_ee, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, 'FunctionError': 'something', } with pytest.raises(CBCProxyException) as e: cbc_proxy_ee.create_and_send_broadcast( identifier=identifier, message_number='0000007b', headline=headline, description=description, areas=areas, sent=sent, expires=expires, ) assert e.match('Function exited with unhandled exception') ld_client_mock.invoke.assert_called_once_with( FunctionName='bt-ee-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) def test_cbc_proxy_send_canary_invokes_function(mocker, cbc_proxy_client): identifier = str(uuid.uuid4()) canary_client = cbc_proxy_client.get_proxy('canary') ld_client_mock = mocker.patch.object( canary_client, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } canary_client.send_canary( identifier=identifier, ) ld_client_mock.invoke.assert_called_once_with( FunctionName='canary', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier def test_cbc_proxy_ee_send_link_test_invokes_function(mocker, cbc_proxy_ee): identifier = str(uuid.uuid4()) ld_client_mock = mocker.patch.object( cbc_proxy_ee, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } cbc_proxy_ee.send_link_test( identifier=identifier, sequential_number='0000007b', ) ld_client_mock.invoke.assert_called_once_with( FunctionName='bt-ee-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier assert payload['message_type'] == 'test' assert 'message_number' not in payload assert payload['message_format'] == 'cap' def test_cbc_proxy_vodafone_send_link_test_invokes_function(mocker, cbc_proxy_vodafone): identifier = str(uuid.uuid4()) ld_client_mock = mocker.patch.object( cbc_proxy_vodafone, '_lambda_client', create=True, ) ld_client_mock.invoke.return_value = { 'StatusCode': 200, } cbc_proxy_vodafone.send_link_test( identifier=identifier, sequential_number='0000007b', ) ld_client_mock.invoke.assert_called_once_with( FunctionName='vodafone-1-proxy', InvocationType='RequestResponse', Payload=mocker.ANY, ) kwargs = ld_client_mock.invoke.mock_calls[0][-1] payload_bytes = kwargs['Payload'] payload = json.loads(payload_bytes) assert payload['identifier'] == identifier assert payload['message_type'] == 'test' assert payload['message_number'] == '0000007b' assert payload['message_format'] == 'ibag'

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null

0

6

a80b99ac24aa2a5171d52c77b5bf51e2f217dcea

3,144

py

Python

graphs/models/Mnist_dropout.py

kkontras/Sleep_net

a6a83d4624989cc8a79238e491da06dc22d562b8

[ "MIT" ]

1

2022-02-22T02:40:41.000Z

graphs/models/Mnist_dropout.py

kkontras/Sleep_net

a6a83d4624989cc8a79238e491da06dc22d562b8

[ "MIT" ]

null

graphs/models/Mnist_dropout.py

kkontras/Sleep_net

a6a83d4624989cc8a79238e491da06dc22d562b8

[ "MIT" ]

null

import torch.nn as nn import torch.nn.functional as F from ..weights_initializer import init_model_weights class Mnist_Dropout(nn.Module): def __init__(self,): super(Mnist_Dropout, self).__init__() self.conv1 = nn.Conv2d(1, 32, kernel_size=4, stride=1, padding=0) self.conv2 = nn.Conv2d(32, 32, kernel_size=4, stride=1, padding=0) self.conv2_drop = nn.Dropout2d() self.fc1 = nn.Linear(11*11*32, 128) self.fc2 = nn.Linear(128, 10) self.train_p1 = 0.25 self.train_p2 = 0.5 self.test_p1 = 0.25 self.test_p2 = 0.5 # self.apply(init_model_weights) def forward(self, x, training_time, traineval): if training_time: drop_prob1, drop_prob2 = self.train_p1, self.train_p2 else: drop_prob1, drop_prob2 = self.test_p1, self.test_p2 x = F.relu(self.conv1(x)) x = F.relu(self.conv2(x)) x = F.max_pool2d(x, 2) x = F.dropout(x, p=drop_prob1, training= traineval) x = x.view(-1, 11*11*32) x = F.relu(self.fc1(x)) x = F.dropout(x, p=drop_prob2, training= traineval) x = self.fc2(x) return F.softmax(x, dim=1) # def test_drop(self, x, traineval): # x = F.relu(self.conv1(x)) # x = F.relu(self.conv2(x)) # # x = F.max_pool2d(x, 5) # x = F.dropout(x, p=self.test_p1, training= traineval) # # print(x.size()) # # x = x.view(-1, 1024) # # x = F.relu(self.fc1(x)) # x = F.dropout(x, p=self.test_p2, training= traineval) # x = self.fc2(x) # return F.softmax(x, dim=1) # class Mnist_Dropout(nn.Module): # def __init__(self,): # super(Mnist_Dropout, self).__init__() # self.conv1 = nn.Conv2d(1, 32, kernel_size=3, stride=1, padding=0) # self.conv2 = nn.Conv2d(32, 32, kernel_size=3, stride=1, padding=0) # self.conv2_drop = nn.Dropout2d() # self.fc1 = nn.Linear(512, 128) # self.fc2 = nn.Linear(128, 10) # # self.train_p1 = 0.2 # self.train_p2 = 0.4 # self.test_p1 = 0.01 # self.test_p2 = 0.05 # # self.apply(init_model_weights) # # def forward(self, x, traineval): # # print(x.size()) # x = F.relu(self.conv1(x)) # # print(x.size()) # # x = F.relu(self.conv2(x)) # # print(x.size()) # # x = F.max_pool2d(x, 5) # x = F.dropout(x, p=self.train_p1, training= traineval) # # print(x.size()) # # x = x.view(-1, 512) # # x = F.relu(self.fc1(x)) # x = F.dropout(x, p=self.train_p2, training= traineval) # x = self.fc2(x) # return F.softmax(x, dim=1) # # def test_drop(self, x, traineval): # x = F.relu(self.conv1(x)) # x = F.relu(self.conv2(x)) # # x = F.max_pool2d(x, 4) # x = F.dropout(x, p=self.test_p1, training= traineval) # # x = x.view(-1, 512) # # x = F.relu(self.fc1(x)) # x = F.dropout(x, p=self.test_p2, training= traineval) # x = self.fc2(x) # return F.softmax(x, dim=1)

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null

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b5261a9bcb93c5c0a3db787782f81327a335b465

25

py

Python

src/foremast/awslambda/sns_event/__init__.py

gitter-badger/foremast

33530438ba5893a1d5cf822a63e03d7ab49dfcd7

[ "Apache-2.0" ]

null

src/foremast/awslambda/sns_event/__init__.py

gitter-badger/foremast

33530438ba5893a1d5cf822a63e03d7ab49dfcd7

[ "Apache-2.0" ]

null

src/foremast/awslambda/sns_event/__init__.py

gitter-badger/foremast

33530438ba5893a1d5cf822a63e03d7ab49dfcd7

[ "Apache-2.0" ]

null

from .sns_event import *

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1

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6

b53df202c9a9f104624bbe66936c0385c8b8df76

50

py

Python

electricityLoadForecasting/forecasting/models/afm/lbfgs/__init__.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

electricityLoadForecasting/forecasting/models/afm/lbfgs/__init__.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

electricityLoadForecasting/forecasting/models/afm/lbfgs/__init__.py

BCD65/electricityLoadForecasting

07a6ed060afaf7cc2906c0389b5c9e9b0fede193

[ "MIT" ]

null

from .lbfgs import * from .lbfgs_tools import *

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null

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1

0

1

0

1

0

6

b58c7f26a6a72e8491fe4bd8ceb1262cc26a776c

318

py

Python

app/models/encounters.py

neuralhalation/flask-call-of-cthulhu

59e1afc9ac1244106fe3439f9a37f16dcfc15d52

[ "MIT" ]

null

app/models/encounters.py

neuralhalation/flask-call-of-cthulhu

59e1afc9ac1244106fe3439f9a37f16dcfc15d52

[ "MIT" ]

null

app/models/encounters.py

neuralhalation/flask-call-of-cthulhu

59e1afc9ac1244106fe3439f9a37f16dcfc15d52

[ "MIT" ]

null

import app.functions.add_remove as ar def encounter(description): return ar.new("encounter", description=description) def add_encounter(encounter, encounters=[]): return ar.add_to_list(encounter, encounters) def remove_encounter(encounter, encounters): return ar.remove_by_obj(encounter, encounters)

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1

0

6

b5992214c51415d93c4ec38a2a191288f88fd6dc

134

py

Python

src/apis/__init__.py

beratakuzum/spam-detector-api

2c2dd809363f931e5e6e21b53f8335c59219036c

[ "MIT" ]

3

2020-12-20T18:26:32.000Z

2021-11-15T19:40:00.000Z

src/apis/__init__.py

beratakuzum/spam-detector-api

2c2dd809363f931e5e6e21b53f8335c59219036c

[ "MIT" ]

null

src/apis/__init__.py

beratakuzum/spam-detector-api

2c2dd809363f931e5e6e21b53f8335c59219036c

[ "MIT" ]

null

def init_apis(app): from .auth import init_api init_api(app=app) from .prediction import init_api init_api(app=app)

16.75

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1

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1

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null

0

1

0

6

a9726bfeb1b947b8cc9d9c4f383520baf6b01a77

56

py

Python

darklim/constants/__init__.py

slwatkins/DarkLim

22a0f8ea7dd609075d55c413b598e42da8ef348f

[ "MIT" ]

1

2022-01-21T16:56:36.000Z

darklim/constants/__init__.py

slwatkins/DarkLim

22a0f8ea7dd609075d55c413b598e42da8ef348f

[ "MIT" ]

null

darklim/constants/__init__.py

slwatkins/DarkLim

22a0f8ea7dd609075d55c413b598e42da8ef348f

[ "MIT" ]

null

from scipy.constants import * from ._constants import *

18.666667

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0

0.142857

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0

1

0

true

0

1

0

1

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1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

a9a2712634bba5800aa4aec0b44d017b17f4a777

25

py

Python

src/baselines/__init__.py

shaliniiit/CVDD-PyTorch

c07e1bd24fad81c1a1c51a70d90474b333d19f57

[ "MIT" ]

48

2019-07-30T12:34:41.000Z

2022-02-23T10:56:42.000Z

src/baselines/__init__.py

Wuliyuanulb/CVDD-PyTorch

aa2b033ed8216ce132ef6977da1e4fae665fb0c0

[ "MIT" ]

4

2019-11-28T14:26:38.000Z

2021-11-16T14:53:17.000Z

src/baselines/__init__.py

Wuliyuanulb/CVDD-PyTorch

aa2b033ed8216ce132ef6977da1e4fae665fb0c0

[ "MIT" ]

19

2019-07-30T02:44:57.000Z

2022-02-02T00:39:13.000Z

from .ocsvm import OCSVM

12.5

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null

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1

0

1

0

1

0

6

8d0e6a07f23831fe297f1d790fba699997b1f902

24

py

Python

keras_lr_finder/__init__.py

sbarman-mi9/keras_lr_finder

4ecf6493c2835beb1745c75919cae8e4c96e8c14

[ "MIT" ]

null

keras_lr_finder/__init__.py

sbarman-mi9/keras_lr_finder

4ecf6493c2835beb1745c75919cae8e4c96e8c14

[ "MIT" ]

null

keras_lr_finder/__init__.py

sbarman-mi9/keras_lr_finder

4ecf6493c2835beb1745c75919cae8e4c96e8c14

[ "MIT" ]

null

from .lr_finder import *

24

0.791667

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true

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null

0

1

0

1

0

1

0

6

8d1be5e912e095c1f58c5f233f0d966890c01de2

113

py

Python

peacemakr/exception/failed_to_download_key.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

3

2020-01-27T10:07:29.000Z

2021-05-17T16:45:59.000Z

peacemakr/exception/failed_to_download_key.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

7

2020-06-24T03:55:36.000Z

2021-03-30T00:43:51.000Z

peacemakr/exception/failed_to_download_key.py

peacemakr-io/peacemakr-python-sdk

180bbc2e480ea855dddf0e28c2f27e83a17bfb84

[ "Apache-2.0" ]

1

2021-04-27T04:12:30.000Z

from peacemakr.exception.peacemakr import PeacemakrError class FailedToDownloadKeyError(PeacemakrError): pass

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8d35967f22397e4c9770c74efc3ce94e973e5b1c

94

py

Python

project-euler/completed/euler28.py

davidxmoody/kata

d88569584c2390da0e8127258d8751f8a47b7d83

[ "MIT" ]

null

project-euler/completed/euler28.py

davidxmoody/kata

d88569584c2390da0e8127258d8751f8a47b7d83

[ "MIT" ]

null

project-euler/completed/euler28.py

davidxmoody/kata

d88569584c2390da0e8127258d8751f8a47b7d83

[ "MIT" ]

null

#!/usr/bin/env python3 def f(n): return (16*n**3 - 18*n**2 + 14*n)//3 - 3 print(f(501))

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94

2.333333

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null

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6

a5d8431b6074219fbbe121f5c4a2bd885656c9e0

236

py

Python

voyager/client/apis/__init__.py

voyager-client/python

d30de935c9cf30fa9e9e4c90714f3868767f4065

[ "Apache-2.0" ]

null

voyager/client/apis/__init__.py

voyager-client/python

d30de935c9cf30fa9e9e4c90714f3868767f4065

[ "Apache-2.0" ]

1

2018-06-24T20:33:11.000Z

voyager/client/apis/__init__.py

voyager-client/python

d30de935c9cf30fa9e9e4c90714f3868767f4065

[ "Apache-2.0" ]

null

from __future__ import absolute_import # import apis into api package from .apis_api import ApisApi from .voyager_appscode_com_api import VoyagerAppscodeComApi from .voyager_appscode_com_v1beta1_api import VoyagerAppscodeComV1beta1Api

33.714286

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75

39.333333

0.901408

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null

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1

0

1

0

6

a5ea9dd42f0f8b46ebfaa05a8372c4abdd48d434

39

py

Python

binding/python/tasks/__init__.py

SaeidSamadi/Tasks

cb3f29a5545a96df83a7d49730799c90bfb0b6f7

[ "BSD-2-Clause" ]

60

2016-04-08T05:48:58.000Z

2022-02-18T16:54:31.000Z

binding/python/tasks/__init__.py

SaeidSamadi/Tasks

cb3f29a5545a96df83a7d49730799c90bfb0b6f7

[ "BSD-2-Clause" ]

48

2016-04-01T09:50:12.000Z

2021-08-05T02:12:27.000Z

binding/python/tasks/__init__.py

SaeidSamadi/Tasks

cb3f29a5545a96df83a7d49730799c90bfb0b6f7

[ "BSD-2-Clause" ]

21

2017-01-10T16:23:34.000Z

2021-11-18T08:40:20.000Z

from . tasks import * from . import qp

13

21

0.692308

6

39

4.5

0.666667

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0.230769

39

2

22

19.5

0.9

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1

0

true

0

1

0

1

0

1

0

null

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1

0

null

0

1

0

1

0

1

0

6

570d00a6d210f0cf63a281110e9c90f54d4defda

54

py

Python

pymarlin/plugins/hf_seq_classification/__init__.py

nifarn/PyMarlin

ea1f5f927aa85112ecebc206d53b5c3ee65704fa

[ "MIT" ]

20

2021-06-09T18:46:45.000Z

2022-02-09T01:08:13.000Z

pymarlin/plugins/hf_seq_classification/__init__.py

nifarn/PyMarlin

ea1f5f927aa85112ecebc206d53b5c3ee65704fa

[ "MIT" ]

50

2021-06-09T17:50:35.000Z

2022-02-07T23:02:30.000Z

pymarlin/plugins/hf_seq_classification/__init__.py

nifarn/PyMarlin

ea1f5f927aa85112ecebc206d53b5c3ee65704fa

[ "MIT" ]

5

2021-06-21T22:24:30.000Z

2021-12-21T17:08:21.000Z

from .implementation import HfSeqClassificationPlugin

27

53

0.907407

4

54

12.25

1

0

0.074074

54

1

54

0.98

0

1

0

true

0

1

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

6

570d94cfde8239ed4ad29189ec3149dfe4479b12

31

py

Python

16_Standard_Library/A_Modules/_this.py

Oscar-Oliveira/Python3

fa791225a6810b75890d24407b73c5e1b514acbe

[ "MIT" ]

null

16_Standard_Library/A_Modules/_this.py

Oscar-Oliveira/Python3

fa791225a6810b75890d24407b73c5e1b514acbe

[ "MIT" ]

null

16_Standard_Library/A_Modules/_this.py

Oscar-Oliveira/Python3

fa791225a6810b75890d24407b73c5e1b514acbe

[ "MIT" ]

null

""" this """ import this

5.166667

12

0.451613

3

31

4.666667

0.666667

0

0.354839

31

5

13

6.2

0.7

0.129032

0

1

0

true

0

1

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1

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1

0

null

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1

0

null

0

1

0

1

0

1

0

6

57305ace60f2b0ff94272df5b50ecd62a3681b49

412

py

Python

webhelpers2/html/__init__.py

einSelbst/WebHelpers2

1675e2f7e53f296e7750499176be1fabca0454f3

[ "BSD-3-Clause" ]

null

webhelpers2/html/__init__.py

einSelbst/WebHelpers2

1675e2f7e53f296e7750499176be1fabca0454f3

[ "BSD-3-Clause" ]

null

webhelpers2/html/__init__.py

einSelbst/WebHelpers2

1675e2f7e53f296e7750499176be1fabca0454f3

[ "BSD-3-Clause" ]

null

"""HTML generation helpers. All public objects in the ``webhelpers2.html.builder`` subpackage are also available in the ``webhelpers2.html`` namespace. Most programs will want to put this line in their code:: from webhelpers2.html import * Or you can import the most frequently-used objects explicitly:: from webhelpers2.html import HTML, escape, literal """ from webhelpers2.html.builder import *

27.466667

74

0.762136

57

412

5.508772

0.614035

0.238854

0.181529

0.127389

0

0.014451

0.160194

412

14

75

29.428571

0.893064

0.883495

0

1

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true

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null

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1

0

null

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1

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1

0

1

0

6

57337b694162528235cc0732ec4fceb620501cd9

96

py

Python

venv/lib/python3.8/site-packages/pkg_resources/tests/data/my-test-package-source/setup.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/pkg_resources/tests/data/my-test-package-source/setup.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/pkg_resources/tests/data/my-test-package-source/setup.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/32/b7/b3/9779eac646248c26292319a3861838011f21822e1065d1189a4f88ed1f

96

0.895833

9

96

9.555556

1

0

0.510417

0

96

1

96

0.385417

0

1

0

null

0

null

0

1

0

null

0

1

0

1

0

1

0

null

1

0

1

0

6

93a6af7827508aaa109e73400042e24c02afe2c8

32

py

Python

line_overlap/line_overlap/__init__.py

uppinder/uppinder_chugh_test

ead56c8d79e64c528a383d7241b5d458aecda41a

[ "MIT" ]

null

line_overlap/line_overlap/__init__.py

uppinder/uppinder_chugh_test

ead56c8d79e64c528a383d7241b5d458aecda41a

[ "MIT" ]

null

line_overlap/line_overlap/__init__.py

uppinder/uppinder_chugh_test

ead56c8d79e64c528a383d7241b5d458aecda41a

[ "MIT" ]

null

from .core import check_overlap

16

31

0.84375

5

32

5.2

1

0

0.125

32

1

32

0.928571

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

6

93ffc34ea684fd991bdd5a9d5322ad54bca71d01

1,156

py

Python

container_service_extension/pksclient/models/__init__.py

tschoergez/container-service-extension

e1fbaf7e9c242a416d3f580880c1051286847cfd

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

container_service_extension/pksclient/models/__init__.py

tschoergez/container-service-extension

e1fbaf7e9c242a416d3f580880c1051286847cfd

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

container_service_extension/pksclient/models/__init__.py

tschoergez/container-service-extension

e1fbaf7e9c242a416d3f580880c1051286847cfd

[ "BSD-2-Clause", "BSD-3-Clause" ]

null

# coding: utf-8 # flake8: noqa """ PKS PKS API # noqa: E501 OpenAPI spec version: 1.1.0 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import # import models into model package from container_service_extension.pksclient.models.cluster import Cluster from container_service_extension.pksclient.models.cluster_parameters import ClusterParameters from container_service_extension.pksclient.models.cluster_request import ClusterRequest from container_service_extension.pksclient.models.compute_profile import ComputeProfile from container_service_extension.pksclient.models.compute_profile_request import ComputeProfileRequest from container_service_extension.pksclient.models.error_response import ErrorResponse from container_service_extension.pksclient.models.network_profile import NetworkProfile from container_service_extension.pksclient.models.network_profile_request import NetworkProfileRequest from container_service_extension.pksclient.models.plan import Plan from container_service_extension.pksclient.models.update_cluster_parameters import UpdateClusterParameters

41.285714

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0.865052

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1,156

7.036496

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0.207469

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0.240664

0

0.007569

0.08564

1,156

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107

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true

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0

null

0

1

0

1

0

1

0

6

f53493c87dced752c3e0082e0324838a166997b6

89

py

Python

source/ports/scala_port/src/test/scala/scripts/s1.py

Tabzz98/core

02ddfe5e0f7ecaa833a8c36dbc059a968479d8ce

[ "Apache-2.0" ]

5

2021-03-08T11:08:23.000Z

2021-03-11T13:19:23.000Z

source/ports/scala_port/src/test/scala/scripts/s1.py

Tabzz98/core

02ddfe5e0f7ecaa833a8c36dbc059a968479d8ce

[ "Apache-2.0" ]

null

source/ports/scala_port/src/test/scala/scripts/s1.py

Tabzz98/core

02ddfe5e0f7ecaa833a8c36dbc059a968479d8ce

[ "Apache-2.0" ]

null

def fn_in_s1(): return 'Hello from s1' def other_fn_in_s1(x, y): return x + y

11.125

26

0.617978

18

89

2.777778

0.555556

0.16

0.24

0

0.046154

0.269663

89

7

27

12.714286

0.723077

0

0.147727

0

1

0.5

false

0

0.5

1

0

1

0

null

0

1

0

1

0

null

0

1

0

1

0

6

f54d37c6202a973a739ec8b8cfd315b8d789ad98

108

py

Python

TelegramBot/__init__.py

TomerGoldfeder/teltebot

8712bc6d929ea05cc83e2ea0f7d1315f686cfce5

[ "MIT" ]

2

2021-01-24T18:02:22.000Z

2021-01-26T16:26:30.000Z

TelegramBot/__init__.py

TomerGoldfeder/teltebot

8712bc6d929ea05cc83e2ea0f7d1315f686cfce5

[ "MIT" ]

null

TelegramBot/__init__.py

TomerGoldfeder/teltebot

8712bc6d929ea05cc83e2ea0f7d1315f686cfce5

[ "MIT" ]

1

2021-01-24T17:22:51.000Z

from teltebot.TelegramNotifierBot import TelegramBot from teltebot.TelegramCallback import TelegramNotifier

36

54

0.907407

10

108

9.8

0.7

0.244898

0

0.074074

108

2

55

54

0.98

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

6

1910d724a84254f087970632158cb168f49d7119

21

py

Python

pyrobud/__main__.py

x0x8x/pyrobud

a03fb2c492d4ee5fe2e9f4e6d2b13614b09452e7

[ "MIT" ]

null

pyrobud/__main__.py

x0x8x/pyrobud

a03fb2c492d4ee5fe2e9f4e6d2b13614b09452e7

[ "MIT" ]

null

pyrobud/__main__.py

x0x8x/pyrobud

a03fb2c492d4ee5fe2e9f4e6d2b13614b09452e7

[ "MIT" ]

1

2021-09-26T14:10:28.000Z

from . import launch

10.5

20

0.761905

3

21

5.333333

1

0

0.190476

21

1

21

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

0

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0

null

0

1

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1

0

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0

6