xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

bd65bbffcae46e5bc4e6fd5b09271e31d4a40f35

36

py

Python

hello-world/hello_world.py

philcleveland/exercism_python

bf0be451bbddf40ccc9967149d7259f4810d9972

[ "MIT" ]

null

hello-world/hello_world.py

philcleveland/exercism_python

bf0be451bbddf40ccc9967149d7259f4810d9972

[ "MIT" ]

null

hello-world/hello_world.py

philcleveland/exercism_python

bf0be451bbddf40ccc9967149d7259f4810d9972

[ "MIT" ]

null

def hello(): return "Hello, World!"

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bde2617d84f22b4b3f2416c6551aeb32ab6a1d84

47

py

Python

Topsis_Paras_101916051/__init__.py

Paras-Sood/Topsis_Paras_101916051

bacf3b724c66582b31bb7f6fc46d029f5fdb5c66

[ "MIT" ]

null

Topsis_Paras_101916051/__init__.py

Paras-Sood/Topsis_Paras_101916051

bacf3b724c66582b31bb7f6fc46d029f5fdb5c66

[ "MIT" ]

null

Topsis_Paras_101916051/__init__.py

Paras-Sood/Topsis_Paras_101916051

bacf3b724c66582b31bb7f6fc46d029f5fdb5c66

[ "MIT" ]

null

from Topsis_Paras_101916051.topsis import solve

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7

da2d0376bf5cef2c161820e22a664e7c5f270592

199

py

Python

aaem/__init__.py

gina-alaska/alaska_affordable_energy_model

96fed0137152985ce280ea37e0affec131e3087f

[ "MIT-feh" ]

1

2022-01-23T07:18:36.000Z

aaem/__init__.py

gina-alaska/alaska_affordable_energy_model

96fed0137152985ce280ea37e0affec131e3087f

[ "MIT-feh" ]

5

2017-07-14T21:56:46.000Z

2017-07-14T21:59:15.000Z

aaem/__init__.py

gina-alaska/alaska_affordable_energy_model

96fed0137152985ce280ea37e0affec131e3087f

[ "MIT-feh" ]

2

2020-04-28T18:12:55.000Z

2021-01-13T01:56:57.000Z

__version__ = '1.0.0' __url__ = 'https://github.com/gina-alaska/alaska_affordable_energy_model' __download_url__ = 'https://github.com/gina-alaska/alaska_affordable_energy_model/releases/tag/v1.0.0'

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10

e58024a87a1906623bff2fa5c65a9d9478cfda38

206

py

Python

src/reliapy/monte_carlo/__init__.py

reliapy/reliapy

3efd48af5cc3bedbcbc5de64fb43e6c5625e3f6d

[ "BSD-3-Clause" ]

null

src/reliapy/monte_carlo/__init__.py

reliapy/reliapy

3efd48af5cc3bedbcbc5de64fb43e6c5625e3f6d

[ "BSD-3-Clause" ]

null

src/reliapy/monte_carlo/__init__.py

reliapy/reliapy

3efd48af5cc3bedbcbc5de64fb43e6c5625e3f6d

[ "BSD-3-Clause" ]

null

from reliapy.monte_carlo._monte_carlo import MonteCarlo from reliapy.monte_carlo._importance import Importance from reliapy.monte_carlo._monte_carlo import * from reliapy.monte_carlo._importance import *

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10

e5806ee0d952ddff1bf9930131e2e6d26888240e

10,734

py

Python

pyparallelproj/wrapper.py

gschramm/parallelproj

0e6eadb81b8d961b9ed932420d77b56fd87c4bf0

[ "MIT" ]

5

2021-01-27T15:05:03.000Z

2022-03-18T08:40:13.000Z

pyparallelproj/wrapper.py

gschramm/parallelproj

0e6eadb81b8d961b9ed932420d77b56fd87c4bf0

[ "MIT" ]

13

2021-02-10T12:15:29.000Z

2021-09-23T10:38:53.000Z

pyparallelproj/wrapper.py

gschramm/parallelproj

0e6eadb81b8d961b9ed932420d77b56fd87c4bf0

[ "MIT" ]

2

2021-02-14T21:26:32.000Z

2021-09-19T18:43:48.000Z

import ctypes from pyparallelproj.config import lib_parallelproj_c, lib_parallelproj_cuda, n_visible_gpus def calc_chunks(nLORs, n_chunks): """ calculate indices to split an array of length nLORs into n_chunks chunks example: splitting an array of length 10 into 3 chunks returns [0,4,7,10] """ rem = nLORs % n_chunks div = (nLORs // n_chunks) chunks = [0] for i in range(n_chunks): if i < rem: nLORs_chunck = div + 1 else: nLORs_chunck = div chunks.append(chunks[i] + nLORs_chunck) return chunks #------------------ def joseph3d_fwd(xstart, xend, img, img_origin, voxsize, img_fwd, nLORs, img_dim, threadsperblock = 64, n_chunks = 1): if n_visible_gpus > 0: nvox = ctypes.c_longlong(img_dim[0]*img_dim[1]*img_dim[2]) # send image to all devices d_img = lib_parallelproj_cuda.copy_float_array_to_all_devices(img.ravel(), nvox) # split call to GPU lib into chunks (useful for systems with limited memory) ic = calc_chunks(nLORs, n_chunks) for i in range(n_chunks): ok = lib_parallelproj_cuda.joseph3d_fwd_cuda(xstart[(3*ic[i]):(3*ic[i+1])], xend[(3*ic[i]):(3*ic[i+1])], d_img, img_origin, voxsize, img_fwd[ic[i]:ic[i+1]], ic[i+1] - ic[i], img_dim, threadsperblock) # free image device arrays lib_parallelproj_cuda.free_float_array_on_all_devices(d_img, nvox) else: ok = lib_parallelproj_c.joseph3d_fwd(xstart, xend, img, img_origin, voxsize, img_fwd, nLORs, img_dim) return ok #------------------ def joseph3d_back(xstart, xend, back_img, img_origin, voxsize, sino, nLORs, img_dim, threadsperblock = 64, n_chunks = 1): if n_visible_gpus > 0: nvox = ctypes.c_longlong(img_dim[0]*img_dim[1]*img_dim[2]) # send image to all devices d_back_img = lib_parallelproj_cuda.copy_float_array_to_all_devices(back_img, nvox) # split call to GPU lib into chunks (useful for systems with limited memory) ic = calc_chunks(nLORs, n_chunks) for i in range(n_chunks): ok = lib_parallelproj_cuda.joseph3d_back_cuda(xstart[(3*ic[i]):(3*ic[i+1])], xend[(3*ic[i]):(3*ic[i+1])], d_back_img, img_origin, voxsize, sino[ic[i]:ic[i+1]], ic[i+1] - ic[i], img_dim, threadsperblock) # sum all device arrays in the first device lib_parallelproj_cuda.sum_float_arrays_on_first_device(d_back_img, nvox) # copy summed image back from first device lib_parallelproj_cuda.get_float_array_from_device(d_back_img, nvox, 0, back_img) # free image device arrays lib_parallelproj_cuda.free_float_array_on_all_devices(d_back_img, nvox) else: ok = lib_parallelproj_c.joseph3d_back(xstart, xend, back_img, img_origin, voxsize, sino, nLORs, img_dim) return ok #------------------ def joseph3d_fwd_tof_sino(xstart, xend, img, img_origin, voxsize, img_fwd, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, ntofbins, threadsperblock = 64, n_chunks = 1): if n_visible_gpus > 0: nvox = ctypes.c_longlong(img_dim[0]*img_dim[1]*img_dim[2]) # send image to all devices d_img = lib_parallelproj_cuda.copy_float_array_to_all_devices(img.ravel(), nvox) # split call to GPU lib into chunks (useful for systems with limited memory) ic = calc_chunks(nLORs, n_chunks) for i in range(n_chunks): ok = lib_parallelproj_cuda.joseph3d_fwd_tof_sino_cuda(xstart[(3*ic[i]):(3*ic[i+1])], xend[(3*ic[i]):(3*ic[i+1])], d_img, img_origin, voxsize, img_fwd[(ntofbins*ic[i]):(ntofbins*ic[i+1])], ic[i+1] - ic[i], img_dim, tofbin_width, sigma_tof[ic[i]:ic[i+1]], tofcenter_offset[ic[i]:ic[i+1]], nsigmas, ntofbins, threadsperblock) # free image device arrays lib_parallelproj_cuda.free_float_array_on_all_devices(d_img, nvox) else: ok = lib_parallelproj_c.joseph3d_fwd_tof_sino(xstart, xend, img, img_origin, voxsize, img_fwd, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, ntofbins) return ok #------------------ def joseph3d_back_tof_sino(xstart, xend, back_img, img_origin, voxsize, sino, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, ntofbins, threadsperblock = 64, n_chunks = 1): if n_visible_gpus > 0: nvox = ctypes.c_longlong(img_dim[0]*img_dim[1]*img_dim[2]) # send image to all devices d_back_img = lib_parallelproj_cuda.copy_float_array_to_all_devices(back_img, nvox) # split call to GPU lib into chunks (useful for systems with limited memory) ic = calc_chunks(nLORs, n_chunks) for i in range(n_chunks): ok = lib_parallelproj_cuda.joseph3d_back_tof_sino_cuda(xstart[(3*ic[i]):(3*ic[i+1])], xend[(3*ic[i]):(3*ic[i+1])], d_back_img, img_origin, voxsize, sino[(ntofbins*ic[i]):(ntofbins*ic[i+1])], ic[i+1] - ic[i], img_dim, tofbin_width, sigma_tof[ic[i]:ic[i+1]], tofcenter_offset[ic[i]:ic[i+1]], nsigmas, ntofbins, threadsperblock) # sum all device arrays in the first device lib_parallelproj_cuda.sum_float_arrays_on_first_device(d_back_img, nvox) # copy summed image back from first device lib_parallelproj_cuda.get_float_array_from_device(d_back_img, nvox, 0, back_img) # free image device arrays lib_parallelproj_cuda.free_float_array_on_all_devices(d_back_img, nvox) else: ok = lib_parallelproj_c.joseph3d_back_tof_sino(xstart, xend, back_img, img_origin, voxsize, sino, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, ntofbins) return ok #------------------ def joseph3d_fwd_tof_lm(xstart, xend, img, img_origin, voxsize, img_fwd, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, tofbin, threadsperblock = 64, n_chunks = 1): if n_visible_gpus > 0: nvox = ctypes.c_longlong(img_dim[0]*img_dim[1]*img_dim[2]) # send image to all devices d_img = lib_parallelproj_cuda.copy_float_array_to_all_devices(img.ravel(), nvox) # split call to GPU lib into chunks (useful for systems with limited memory) ic = calc_chunks(nLORs, n_chunks) for i in range(n_chunks): ok = lib_parallelproj_cuda.joseph3d_fwd_tof_lm_cuda(xstart[(3*ic[i]):(3*ic[i+1])], xend[(3*ic[i]):(3*ic[i+1])], d_img, img_origin, voxsize, img_fwd[ic[i]:ic[i+1]], ic[i+1] - ic[i], img_dim, tofbin_width, sigma_tof[ic[i]:ic[i+1]], tofcenter_offset[ic[i]:ic[i+1]], nsigmas, tofbin[ic[i]:ic[i+1]], threadsperblock) # free image device arrays lib_parallelproj_cuda.free_float_array_on_all_devices(d_img, nvox) else: ok = lib_parallelproj_c.joseph3d_fwd_tof_lm(xstart, xend, img, img_origin, voxsize, img_fwd, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, tofbin) return ok #------------------ def joseph3d_back_tof_lm(xstart, xend, back_img, img_origin, voxsize, lst, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, tofbin, threadsperblock = 64, n_chunks = 1): if n_visible_gpus > 0: nvox = ctypes.c_longlong(img_dim[0]*img_dim[1]*img_dim[2]) # send image to all devices d_back_img = lib_parallelproj_cuda.copy_float_array_to_all_devices(back_img, nvox) # split call to GPU lib into chunks (useful for systems with limited memory) ic = calc_chunks(nLORs, n_chunks) for i in range(n_chunks): ok = lib_parallelproj_cuda.joseph3d_back_tof_lm_cuda(xstart[(3*ic[i]):(3*ic[i+1])], xend[(3*ic[i]):(3*ic[i+1])], d_back_img, img_origin, voxsize, lst[ic[i]:ic[i+1]], ic[i+1] - ic[i], img_dim, tofbin_width, sigma_tof[ic[i]:ic[i+1]], tofcenter_offset[ic[i]:ic[i+1]], nsigmas, tofbin[ic[i]:ic[i+1]], threadsperblock) # sum all device arrays in the first device lib_parallelproj_cuda.sum_float_arrays_on_first_device(d_back_img, nvox) # copy summed image back from first device lib_parallelproj_cuda.get_float_array_from_device(d_back_img, nvox, 0, back_img) # free image device arrays lib_parallelproj_cuda.free_float_array_on_all_devices(d_back_img, nvox) else: ok = lib_parallelproj_c.joseph3d_back_tof_lm(xstart, xend, back_img, img_origin, voxsize, lst, nLORs, img_dim, tofbin_width, sigma_tof, tofcenter_offset, nsigmas, tofbin) return ok

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83

py

Python

torchgan/trainer/__init__.py

kevinoop0/torchgan

72eceeda32b7a80a9d619885886b794a44fd1250

[ "MIT" ]

null

torchgan/trainer/__init__.py

kevinoop0/torchgan

72eceeda32b7a80a9d619885886b794a44fd1250

[ "MIT" ]

null

torchgan/trainer/__init__.py

kevinoop0/torchgan

72eceeda32b7a80a9d619885886b794a44fd1250

[ "MIT" ]

null

from .base_trainer import * from .trainer import * from .parallel_trainer import *

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7

e5e8827601f883ff8a24b7c7594a67284ecd451a

4,618

py

Python

AseModel/models.py

5wimming/ase

0d506add3a83caf9afd01f216c256c4678010918

[ "Apache-2.0" ]

10

2021-07-13T02:15:15.000Z

2022-02-21T07:27:54.000Z

AseModel/models.py

5wimming/ase

0d506add3a83caf9afd01f216c256c4678010918

[ "Apache-2.0" ]

3

2022-02-21T08:59:01.000Z

2022-03-05T02:45:34.000Z

AseModel/models.py

5wimming/ase

0d506add3a83caf9afd01f216c256c4678010918

[ "Apache-2.0" ]

3

2021-08-19T07:54:39.000Z

2022-02-21T07:27:55.000Z

from django.db import models from django.db import models from .fields import RestrictedFileField import time class ScanPort(models.Model): ip = models.CharField(max_length=255, verbose_name="target") domain = models.CharField(max_length=1022, null=True, blank=True) port = models.CharField(max_length=255) service_name = models.CharField(max_length=255, null=True, blank=True) application = models.CharField(max_length=1022, null=True, blank=True) version = models.CharField(max_length=1022, null=True, blank=True) vendor = models.CharField(max_length=1022, null=True, blank=True) scan_time = models.DateTimeField(auto_now=True, null=True, blank=True) scan_engine = models.CharField(max_length=255, null=True, blank=True) # 扫描平台 scan_task = models.CharField(max_length=255, null=True, blank=True) strategy_id = models.CharField(max_length=255, null=True, blank=True) # 策略id scan_node_id = models.CharField(max_length=255, null=True, blank=True) # 扫描器节点 remarks = models.CharField(max_length=1022, null=True, blank=True) # 备注 cpe = models.CharField(max_length=1022, null=True, blank=True) state = models.CharField(max_length=255, null=True, blank=True) # nmap状态 extra_info = models.CharField(max_length=1022, null=True, blank=True) # nmap额外信息 hostname = models.CharField(max_length=255, null=True, blank=True) # process_name = models.CharField(max_length=255, null=True, blank=True) # process_path = models.CharField(max_length=1022, null=True, blank=True) # process_pid = models.CharField(max_length=255, null=True, blank=True) proto = models.CharField(max_length=255, null=True, blank=True) # 传输层协议 class Meta: verbose_name = 'port info' verbose_name_plural = 'port info' def upload_to(instance, filename): # 后缀 sub = filename.split('.')[-1] name = filename.split('.')[-2] t = time.strftime('%Y%m%d%H%M%S', time.localtime()) return 'files/%s_%s.%s' % (name, t, sub) class ScanVuln(models.Model): ip = models.CharField(max_length=255, verbose_name="target") domain = models.CharField(max_length=1022, null=True, blank=True) port = models.CharField(max_length=255, default=0) vuln_desc = models.CharField(max_length=1022, null=True, blank=True, verbose_name="vuln name") scan_time = models.DateTimeField(auto_now=True, null=True, blank=True) scan_engine = models.CharField(max_length=255, null=True, blank=True) scan_type = models.CharField(max_length=255, null=True, blank=True) # nvd or vuln strategy base_score = models.CharField(max_length=255, null=True, blank=True, verbose_name="score") scan_task = models.CharField(max_length=255, null=True, blank=True) strategy_id = models.CharField(max_length=255, null=True, blank=True) scan_node_id = models.CharField(max_length=255, null=True, blank=True) remarks = models.CharField(max_length=1022, null=True, blank=True) cpe = models.CharField(max_length=1022, null=True, blank=True) class Meta: verbose_name = 'vuln info' verbose_name_plural = 'vuln info' class ScanWeb(models.Model): url = models.CharField(max_length=2046, null=True, blank=True) target = models.CharField(max_length=2046, null=True, blank=True) port = models.CharField(max_length=255, default=0) status = models.IntegerField(null=True, blank=True) title = models.CharField(max_length=1022, null=True, blank=True) headers = models.TextField(null=True, blank=True) body_size = models.IntegerField(null=True, blank=True) body_content = models.TextField(null=True, blank=True) redirect_url = models.CharField(max_length=1022, null=True, blank=True) application = models.CharField(max_length=1022, null=True, blank=True) scan_time = models.DateTimeField(auto_now=True, null=True, blank=True) scan_engine = models.CharField(max_length=255, null=True, blank=True) # 扫描平台 scan_task = models.CharField(max_length=255, null=True, blank=True) strategy_id = models.CharField(max_length=255, null=True, blank=True) # 策略id scan_node_id = models.CharField(max_length=255, null=True, blank=True) # 扫描器节点 remarks = models.CharField(max_length=1022, null=True, blank=True) # 备注 def short_headers(self): if len(str(self.headers)) > 20: return '{}...'.format(str(self.headers)[0:50]) else: return str(self.headers) short_headers.allow_tags = True short_headers.short_description = "headers" class Meta: verbose_name = 'web info' verbose_name_plural = 'web info'

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py

Python

html5print/test/test_html5print.py

hydrobuilder/html5print

489e8b6046a7332405d4d8025c783018f5025faf

[ "Apache-2.0" ]

31

2015-02-19T08:35:07.000Z

2022-02-24T15:49:37.000Z

html5print/test/test_html5print.py

hydrobuilder/html5print

489e8b6046a7332405d4d8025c783018f5025faf

[ "Apache-2.0" ]

10

2015-02-16T19:33:23.000Z

2022-03-31T20:33:14.000Z

html5print/test/test_html5print.py

hydrobuilder/html5print

489e8b6046a7332405d4d8025c783018f5025faf

[ "Apache-2.0" ]

13

2015-02-24T17:19:11.000Z

2022-01-31T23:04:12.000Z

from __future__ import unicode_literals from __future__ import absolute_import import pytest import os import sys import textwrap @pytest.fixture def html5_beautify(): import sys abspath = os.path.abspath('.') sys.path.insert(0, abspath) from html5print import HTMLBeautifier return HTMLBeautifier.beautify @pytest.fixture def html_fragment(): html = ''' <div id="page-wrap"> <img alt="Some binary data="pic" src="data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAOgAAAEvCAYAAABPM43AAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAL EwAACxMBAJqcGAAAAAd0SU1FB90FCgQSFKAOxjcAAAAdaVRYdENvbW1lbnQAAAAAAENyZWF0ZWQg d2l0aCBHSU1QZC5lBwAAIABJREFUeNrsvVmSJElyJfiYRVTVzNwjIzd09xThCHOK+Z7vukOfoqiu g5+5TROB8DuNAhqoyiUi3MxUVYTng1lEWMTUoxJd4dgmg8gpNnczNVXh7fHjx4Rff/3669dfAAAR YQAzgMW+Tvb7bF/vAHwP4L8C+BbA/0NE/+Mtryn++lh+/fWfzMgIALuv4P4cATwBeA/gGzOyb+zv TwAuZoRf279/Z7+/A3C2n2cAnHNOOef/AeBXA/3116+/DqLc7CLca1Hu/wDw3+zP35gBzi46+q/J jO8X/fr5xx+3v/+Hf3j63e9+x7///e/zrwb666//bFGOhujG9m/TQZT7+pUoVyLcNwC+sigX3OuG g/f4S68d+7bhD3//9/jbv/3br3/zm98EAL8a6K+//kMZYDBD8/XcYv+2DFHuv9nXX7koV77/7L5K lOQ3vnj97bX/Tgm3lxe8vLxQSun7bz5+jAC2Xw3011//VlFujHB8EOV8FLvY/71zEXCs5cLBl38P +ksN7HNG5r+n+/P4bwf/JzlDcgaHQEL0X/8Q4wTg+quB/vrrXyPKza9Euf/qotzXrpYr0e1iv5/s 3/8yI/tLotxoXKORifzFb0/MiCFQIPqry+Xypjb0q4H+54ly9EqU+xoNlfx6iHJfDVGu1HqnV6Jc 7u6/fv/7dWJ+4JTyOo/qAwKsSfUOUlqvEDfTbvc0vXt33O12+vHjR6493T9+/z3/01uWe3v8GT3+ F2hm2H/e+SvoAAAAAElFTkSuQmCC"/>''' return html @pytest.fixture def fixture_dir(): import os import sys abspath = os.path.abspath('.') return os.path.join(abspath, 'html5print', 'test', 'fixture') def test_html_beautify_multiline_tag(html5_beautify, html_fragment): func = html5_beautify got = func(html_fragment) expected = textwrap.dedent(''' <html> <head> </head> <body> <div id="page-wrap"> <img alt="Some binary data=" pic"="" src="data:image/png;base64, iVBORw0KGgoAAAANSUhEUgAAAOgAAAEvCAYAAABPM43AAAAAAXNSR0IArs4c6QAAAAlwSFlzAAAL EwAACxMBAJqcGAAAAAd0SU1FB90FCgQSFKAOxjcAAAAdaVRYdENvbW1lbnQAAAAAAENyZWF0ZWQg d2l0aCBHSU1QZC5lBwAAIABJREFUeNrsvVmSJElyJfiYRVTVzNwjIzd09xThCHOK+Z7vukOfoqiu g5+5TROB8DuNAhqoyiUi3MxUVYTng1lEWMTUoxJd4dgmg8gpNnczNVXh7fHjx4Rff/3669dfAAAR YQAzgMW+Tvb7bF/vAHwP4L8C+BbA/0NE/+Mtryn++lh+/fWfzMgIALuv4P4cATwBeA/gGzOyb+zv TwAuZoRf279/Z7+/A3C2n2cAnHNOOef/AeBXA/3116+/DqLc7CLca1Hu/wDw3+zP35gBzi46+q/J jO8X/fr5xx+3v/+Hf3j63e9+x7///e/zrwb666//bFGOhujG9m/TQZT7+pUoVyLcNwC+sigX3OuG g/f4S68d+7bhD3//9/jbv/3br3/zm98EAL8a6K+//kMZYDBD8/XcYv+2DFHuv9nXX7koV77/7L5K lOQ3vnj97bX/Tgm3lxe8vLxQSun7bz5+jAC2Xw3011//VlFujHB8EOV8FLvY/71zEXCs5cLBl38P +ksN7HNG5r+n+/P4bwf/JzlDcgaHQEL0X/8Q4wTg+quB/vrrXyPKza9Euf/qotzXrpYr0e1iv5/s 3/8yI/tLotxoXKORifzFb0/MiCFQIPqry+Xypjb0q4H+54ly9EqU+xoNlfx6iHJfDVGu1HqnV6Jc 7u6/fv/7dWJ+4JTyOo/qAwKsSfUOUlqvEDfTbvc0vXt33O12+vHjR6493T9+/z3/01uWe3v8GT3+ F2hm2H/e+SvoAAAAAElFTkSuQmCC"/> </div> </body> </html> ''') expected = expected.replace('\n', '', 1) assert got == expected, 'Expected "{}", Got "{}"'.format(expected, got)

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null

1

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8

dab1379eef2d828bb95c994e2e8ac4c55e1de924

2,505

py

Python

tests/unit/command/test_data_sync.py

jackwellsxyz/dvc

6a64f861783f3c2eadfc0364725ab06aa3ebb387

[ "Apache-2.0" ]

null

tests/unit/command/test_data_sync.py

jackwellsxyz/dvc

6a64f861783f3c2eadfc0364725ab06aa3ebb387

[ "Apache-2.0" ]

null

tests/unit/command/test_data_sync.py

jackwellsxyz/dvc

6a64f861783f3c2eadfc0364725ab06aa3ebb387

[ "Apache-2.0" ]

null

from dvc.cli import parse_args from dvc.command.data_sync import CmdDataFetch, CmdDataPull, CmdDataPush def test_fetch(mocker): cli_args = parse_args( [ "fetch", "target1", "target2", "--jobs", "2", "--remote", "remote", "--all-branches", "--all-tags", "--all-commits", "--with-deps", "--recursive", ] ) assert cli_args.func == CmdDataFetch cmd = cli_args.func(cli_args) m = mocker.patch.object(cmd.repo, "fetch", autospec=True, return_value=0) assert cmd.run() == 0 m.assert_called_once_with( targets=["target1", "target2"], jobs=2, remote="remote", all_branches=True, all_tags=True, all_commits=True, with_deps=True, recursive=True, ) def test_pull(mocker): cli_args = parse_args( [ "pull", "target1", "target2", "--jobs", "2", "--remote", "remote", "--all-branches", "--all-tags", "--all-commits", "--with-deps", "--force", "--recursive", ] ) assert cli_args.func == CmdDataPull cmd = cli_args.func(cli_args) m = mocker.patch.object(cmd.repo, "pull", autospec=True) assert cmd.run() == 0 m.assert_called_once_with( targets=["target1", "target2"], jobs=2, remote="remote", all_branches=True, all_tags=True, all_commits=True, with_deps=True, force=True, recursive=True, ) def test_push(mocker): cli_args = parse_args( [ "push", "target1", "target2", "--jobs", "2", "--remote", "remote", "--all-branches", "--all-tags", "--all-commits", "--with-deps", "--recursive", ] ) assert cli_args.func == CmdDataPush cmd = cli_args.func(cli_args) m = mocker.patch.object(cmd.repo, "push", autospec=True, return_value=0) assert cmd.run() == 0 m.assert_called_once_with( targets=["target1", "target2"], jobs=2, remote="remote", all_branches=True, all_tags=True, all_commits=True, with_deps=True, recursive=True, )

22.168142

77

0.475848

246

2,505

4.670732

0.191057

0.073107

0.093995

0.099217

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0.72846

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0.014867

0.382435

2,505

112

78

22.366071

0.72786

0

0.71134

0

0.149701

0

0.092784

1

0.030928

false

0

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0

null

0

1

0

1

0

null

0

7

dac466ed89e09451be48391c605bd9373088c890

27,862

py

Python

tests/test_backend_six.py

166MMX/hiro-python-library

fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5

[ "MIT" ]

null

tests/test_backend_six.py

166MMX/hiro-python-library

fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5

[ "MIT" ]

null

tests/test_backend_six.py

166MMX/hiro-python-library

fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5

[ "MIT" ]

null

import json from datetime import date, datetime, time, timezone from types import MappingProxyType from typing import Generator, ContextManager from uuid import uuid4 # noinspection PyPackageRequirements import pytest from requests import Response from arago.hiro.client.client import HiroClient from arago.hiro.model.auth import SessionCredentials, AccessToken from arago.hiro.model.graph.edge import Edge from arago.hiro.model.graph.history import HistoryFormat, HistoryEntry, HistoryDiff from arago.hiro.model.graph.vertex import VertexId, Vertex from arago.hiro.model.storage import BlobVertex, TimeSeriesValue, TimeSeriesVertex from arago.hiro.utils.datetime import datetime_to_timestamp_ms from arago.ogit import OgitEntity, OgitVerb from arago.ontology import Attribute def uuid() -> str: return str(uuid4()) class TestClassMetaInfo: def test_info_rest(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaRest meta = Hiro6MetaRest(client) res = meta.info() res.raise_for_status() assert isinstance(res, Response) pass def test_info_data(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaData meta = Hiro6MetaData(client) res = meta.info() assert isinstance(res, dict) pass def test_info_model(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaModel meta = Hiro6MetaModel(client) res = meta.info() assert isinstance(res, dict) pass def test_version_rest(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaRest meta = Hiro6MetaRest(client) with pytest.raises(NotImplementedError): res = meta.version() res.raise_for_status() assert isinstance(res, Response) pass def test_version_data(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaData meta = Hiro6MetaData(client) res = meta.version() assert isinstance(res, dict) pass def test_version_model(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaModel meta = Hiro6MetaModel(client) res = meta.version() assert isinstance(res, dict) pass def test_versions_rest(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaRest meta = Hiro6MetaRest(client) with pytest.raises(NotImplementedError): res = meta.versions() res.raise_for_status() assert isinstance(res, Response) pass def test_versions_data(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaData meta = Hiro6MetaData(client) res = meta.versions() assert isinstance(res, dict) pass def test_versions_model(self, client: HiroClient): from arago.hiro.backend.six.meta import Hiro6MetaModel meta = Hiro6MetaModel(client) res = meta.versions() assert isinstance(res, dict) pass class TestClassHealth: def test_health_rest(self, client: HiroClient): from arago.hiro.backend.six.health import Hiro6HealthRest health = Hiro6HealthRest(client) res = health.check() res.raise_for_status() assert isinstance(res, Response) pass def test_health_data(self, client: HiroClient): from arago.hiro.backend.six.health import Hiro6HealthData health = Hiro6HealthData(client) res = health.check() assert isinstance(res, dict) pass def test_health_model(self, client: HiroClient): from arago.hiro.backend.six.health import Hiro6HealthModel health = Hiro6HealthModel(client) res = health.check() assert isinstance(res, dict) pass # noinspection PyUnusedLocal class TestClassAuth: def test_token_get_rest(self, client: HiroClient, credentials: SessionCredentials): from arago.hiro.backend.six.auth import Hiro6AuthRest auth = Hiro6AuthRest(client) req_data = { 'client_id': credentials.client.id, 'client_secret': credentials.client.secret, 'username': credentials.account.username, 'password': credentials.account.password, } res = auth.password(req_data) res.raise_for_status() assert isinstance(res, Response) pass def test_token_get_data(self, client: HiroClient, credentials: SessionCredentials): from arago.hiro.backend.six.auth import Hiro6AuthData auth = Hiro6AuthData(client) res = auth.password( credentials.client.id, credentials.client.secret, credentials.account.username, credentials.account.password, ) assert isinstance(res, dict) pass def test_token_get_model(self, client: HiroClient, credentials: SessionCredentials): from arago.hiro.backend.six.auth import Hiro6AuthModel auth = Hiro6AuthModel(client) res = auth.password(credentials) assert isinstance(res, AccessToken) pass @pytest.mark.skip def test_token_refresh_rest(self, client: HiroClient): from arago.hiro.backend.six.auth import Hiro6AuthRest auth = Hiro6AuthRest(client) pass @pytest.mark.skip def test_token_refresh_data(self, client: HiroClient): from arago.hiro.backend.six.auth import Hiro6AuthData auth = Hiro6AuthData(client) pass @pytest.mark.skip def test_token_refresh_model(self, client: HiroClient): from arago.hiro.backend.six.auth import Hiro6AuthModel auth = Hiro6AuthModel(client) pass def test_token_revoke_rest(self, client: HiroClient, credentials: SessionCredentials): from arago.hiro.backend.six.auth import Hiro6AuthRest auth = Hiro6AuthRest(client) req_data = { 'client_id': credentials.client.id, } res = auth.revoke(req_data) res.raise_for_status() assert isinstance(res, Response) def test_token_revoke_data(self, client: HiroClient, credentials: SessionCredentials): from arago.hiro.backend.six.auth import Hiro6AuthData auth = Hiro6AuthData(client) auth.revoke(credentials.client.id) def test_token_revoke_model(self, client: HiroClient, credentials: SessionCredentials): from arago.hiro.backend.six.auth import Hiro6AuthModel auth = Hiro6AuthModel(client) auth.revoke(credentials.client) class TestClassGraph: def test_vertex_create_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphRest graph = Hiro6GraphRest(client) vertex_type = OgitEntity.OGIT_COMMENT.value.name.uri res = graph.vertex.create(vertex_type, {}) res.raise_for_status() assert isinstance(res, Response) pass def test_vertex_create_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphData graph = Hiro6GraphData(client) vertex_type = OgitEntity.OGIT_COMMENT.value.name.uri res = graph.vertex.create(vertex_type) assert isinstance(res, dict) pass def test_vertex_create_model(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel graph = Hiro6GraphModel(client) vertex_type = OgitEntity.OGIT_COMMENT res = graph.vertex.create(vertex_type) assert isinstance(res, Vertex) pass def test_vertex_get_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphRest graph = Hiro6GraphRest(client) vertex_id = OgitEntity.OGIT_COMMENT.value.name.uri res = graph.vertex.get(vertex_id) res.raise_for_status() assert isinstance(res, Response) pass def test_vertex_get_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphData graph = Hiro6GraphData(client) vertex_id = OgitEntity.OGIT_COMMENT.value.name.uri res = graph.vertex.get(vertex_id) assert isinstance(res, dict) pass def test_vertex_get_model(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel graph = Hiro6GraphModel(client) vertex_id = VertexId(OgitEntity.OGIT_COMMENT.value.name.uri) res = graph.vertex.get(vertex_id) assert isinstance(res, Vertex) pass def test_vertex_update_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphRest graph_m = Hiro6GraphModel(client) graph = Hiro6GraphRest(client) comment_v = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) res = graph.vertex.update(comment_v.id, {}) res.raise_for_status() assert isinstance(res, Response) pass def test_vertex_update_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphData graph_m = Hiro6GraphModel(client) graph = Hiro6GraphData(client) comment_v = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) res = graph.vertex.update(comment_v.id, {}) assert isinstance(res, dict) pass def test_vertex_update_model(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel graph = Hiro6GraphModel(client) comment_v = graph.vertex.create(OgitEntity.OGIT_COMMENT) res = graph.vertex.update(comment_v, {}) assert isinstance(res, Vertex) pass def test_vertex_delete_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphRest graph_m = Hiro6GraphModel(client) graph = Hiro6GraphRest(client) comment_v = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) res = graph.vertex.delete(comment_v.id) res.raise_for_status() assert isinstance(res, Response) pass def test_vertex_delete_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphData graph_m = Hiro6GraphModel(client) graph = Hiro6GraphData(client) comment_v = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) res = graph.vertex.delete(comment_v.id) assert isinstance(res, dict) pass def test_vertex_delete_model(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel graph = Hiro6GraphModel(client) comment_v = graph.vertex.create(OgitEntity.OGIT_COMMENT) res = graph.vertex.delete(comment_v) assert isinstance(res, Vertex) pass def test_vertex_history_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphRest res = client.root.model.search.index(rf'''ogit\/_type:"{OgitEntity.OGIT_LICENSE_REQUEST.value.name.uri!s}"''') vertex = next(res) graph = Hiro6GraphRest(client) v_res = graph.vertex.history(vertex.id) v_res.raise_for_status() assert isinstance(v_res, Response) pass def test_vertex_history_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphData res_1 = client.root.model.search.index(rf'''ogit\/_type:"{OgitEntity.OGIT_LICENSE_REQUEST.value.name.uri!s}"''') vertex = next(res_1) graph = Hiro6GraphData(client) res_2 = graph.vertex.history(vertex.id) assert isinstance(res_2, Generator) vertex = next(res_2) assert isinstance(vertex, dict) pass def test_vertex_history_model_element(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel res_1 = client.root.model.search.index(rf'''ogit\/_type:"{OgitEntity.OGIT_LICENSE_REQUEST.value.name.uri!s}"''') vertex = next(res_1) graph = Hiro6GraphModel(client) res_2 = graph.vertex.history(vertex, res_format=HistoryFormat.ELEMENT) assert isinstance(res_2, Generator) vertex = next(res_2) assert isinstance(vertex, Vertex) pass def test_vertex_history_model_full(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel res_1 = client.root.model.search.index(rf'''ogit\/_type:"{OgitEntity.OGIT_LICENSE_REQUEST.value.name.uri!s}"''') vertex = next(res_1) graph = Hiro6GraphModel(client) res_2 = graph.vertex.history(vertex, res_format=HistoryFormat.FULL) assert isinstance(res_2, Generator) entry = next(res_2) assert isinstance(entry, HistoryEntry) vertex = entry.data assert isinstance(vertex, Vertex) pass def test_vertex_history_model_diff(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel res_1 = client.root.model.search.index(rf'''ogit\/_type:"{OgitEntity.OGIT_LICENSE_REQUEST.value.name.uri!s}"''') vertex = next(res_1) graph = Hiro6GraphModel(client) res_2 = graph.vertex.history(vertex, res_format=HistoryFormat.DIFF) assert isinstance(res_2, Generator) diff = next(res_2) diff = next(res_2) assert isinstance(diff, HistoryDiff) replaced = diff.replaced assert isinstance(replaced, MappingProxyType) keys = iter(replaced) key = next(keys) assert isinstance(key, Attribute) pass def test_edge_create_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphRest graph_m = Hiro6GraphModel(client) graph = Hiro6GraphRest(client) vertex_a = graph_m.vertex.create(OgitEntity.OGIT_ATTACHMENT) vertex_b = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) req_data = { 'out': str(vertex_a.id), 'in': str(vertex_b.id), } edge_type = OgitVerb.OGIT_BELONGS.value.name.uri res = graph.edge.create(edge_type, req_data) res.raise_for_status() isinstance(res, Response) pass def test_edge_create_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphData graph_m = Hiro6GraphModel(client) graph = Hiro6GraphData(client) vertex_a = graph_m.vertex.create(OgitEntity.OGIT_ATTACHMENT) vertex_b = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) edge_type = OgitVerb.OGIT_BELONGS.value.name.uri res = graph.edge.create(vertex_a.id, edge_type, vertex_b.id) isinstance(res, dict) pass def test_edge_create_model(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel graph = Hiro6GraphModel(client) vertex_a = graph.vertex.create(OgitEntity.OGIT_ATTACHMENT) vertex_b = graph.vertex.create(OgitEntity.OGIT_COMMENT) edge_type = OgitVerb.OGIT_BELONGS res = graph.edge.create(vertex_a, edge_type, vertex_b) isinstance(res, Edge) pass def test_edge_delete_rest(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphRest graph_m = Hiro6GraphModel(client) graph = Hiro6GraphRest(client) vertex_a = graph_m.vertex.create(OgitEntity.OGIT_ATTACHMENT) vertex_b = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) edge_c = graph_m.edge.create(vertex_a, OgitVerb.OGIT_BELONGS, vertex_b) res = graph.edge.delete(edge_c.id) res.raise_for_status() isinstance(res, Response) pass def test_edge_delete_data(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel from arago.hiro.backend.six.graph import Hiro6GraphData graph_m = Hiro6GraphModel(client) graph = Hiro6GraphData(client) vertex_a = graph_m.vertex.create(OgitEntity.OGIT_ATTACHMENT) vertex_b = graph_m.vertex.create(OgitEntity.OGIT_COMMENT) edge_c = graph_m.edge.create(vertex_a, OgitVerb.OGIT_BELONGS, vertex_b) res = graph.edge.delete(edge_c.id) isinstance(res, dict) pass def test_edge_delete_model(self, client: HiroClient): from arago.hiro.backend.six.graph import Hiro6GraphModel graph = Hiro6GraphModel(client) vertex_a = graph.vertex.create(OgitEntity.OGIT_ATTACHMENT) vertex_b = graph.vertex.create(OgitEntity.OGIT_COMMENT) edge_c = graph.edge.create(vertex_a, OgitVerb.OGIT_BELONGS, vertex_b) res = graph.edge.delete(edge_c) isinstance(res, Edge) pass class TestClassFoo: @pytest.mark.skip def test_search_blob(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchModel search = Hiro6SearchModel(client) res = search.index( rf'+ogit\/_type:"{OgitEntity.OGIT_ATTACHMENT.id}"' r' -ogit\/_creator:"jharth@arago.co"' r' -ogit\/_creator:"mgrohrock@arago.co"' r' -ogit\/_creator:"cschulz@arago.co"' ) import pprint for vertex in res: pprint.pprint(vertex.to_dict()) pass @pytest.mark.skip def test_search_ts(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchModel search = Hiro6SearchModel(client) with search.index( rf'+ogit\/_type:"{OgitEntity.OGIT_TIME_SERIES.id}"' r' -\/DataName:"Time 99 percentile"' ) as res: yield from res pass class TestClassSearch: def test_index_rest(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchRest search = Hiro6SearchRest(client) res = search.index({'query': r'+ogit\/_id="ogit/Node"'}) res.raise_for_status() assert isinstance(res, Response) pass def test_index_data(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchData search = Hiro6SearchData(client) res = search.index(r'+ogit\/_id:"ogit/Node"') assert isinstance(res, Generator) i = next(res) assert isinstance(i, dict) pass def test_index_model(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchModel search = Hiro6SearchModel(client) res = search.index(r'+ogit\/_id="ogit/Node"') assert isinstance(res, Generator) i = next(res) assert isinstance(i, Vertex) pass def test_graph_rest(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchRest search = Hiro6SearchRest(client) res = search.graph({'root': 'ogit/Node', 'query': 'out()'}) res.raise_for_status() assert isinstance(res, Response) pass def test_graph_data(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchData search = Hiro6SearchData(client) res = search.graph('ogit/Node', 'out()') assert isinstance(res, Generator) i = next(res) assert isinstance(i, dict) pass def test_graph_model(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchModel search = Hiro6SearchModel(client) res = search.graph(VertexId('ogit/Node'), 'out()') assert isinstance(res, Generator) i = next(res) assert isinstance(i, Vertex) pass def test_graph_model_2(self, client: HiroClient): from arago.hiro.backend.six.search import Hiro6SearchModel search = Hiro6SearchModel(client) res = search.graph(VertexId('ogit/Node'), 'outE()', result_type=Edge) assert isinstance(res, Generator) i = next(res) assert isinstance(i, Edge) pass class TestClassStorage: @pytest.fixture def empty_blob_vertex(self, client: HiroClient) -> Generator[BlobVertex, None, None]: graph = client.model.graph vertex = graph.vertex.create(OgitEntity.OGIT_ATTACHMENT) yield vertex vertex.delete() @pytest.fixture def empty_ts_vertex(self, client: HiroClient) -> Generator[TimeSeriesVertex, None, None]: graph = client.model.graph vertex = graph.vertex.create(OgitEntity.OGIT_TIME_SERIES) yield vertex vertex.delete() @pytest.fixture def existing_ts_vertex(self, client: HiroClient) -> Generator[TimeSeriesVertex, None, None]: search = client.model.search res = search.index( rf'+ogit\/_type:"{OgitEntity.OGIT_TIME_SERIES.value.name.uri}"' r' -\/DataName:"Time 99 percentile"', limit=1 ) yield from res @pytest.fixture def isaac_asimov_birth_day(self) -> datetime: return datetime.combine(date.fromisoformat('1920-01-02'), time(), timezone.utc) def test_blob_set_rest(self, client: HiroClient, empty_blob_vertex: BlobVertex, png_img: bytes): from arago.hiro.backend.six.storage import Hiro6StorageRest storage = Hiro6StorageRest(client) res = storage.blob.set(empty_blob_vertex.id, png_img) res.raise_for_status() assert isinstance(res, Response) pass def test_blob_set_data(self, client: HiroClient, empty_blob_vertex: BlobVertex, png_img: bytes): from arago.hiro.backend.six.storage import Hiro6StorageData storage = Hiro6StorageData(client) storage.blob.set(empty_blob_vertex.id, png_img) pass def test_blob_set_model(self, client: HiroClient, empty_blob_vertex: BlobVertex, png_img: bytes): from arago.hiro.backend.six.storage import Hiro6StorageModel storage = Hiro6StorageModel(client) storage.blob.set(empty_blob_vertex, png_img) pass def test_blob_get_rest(self, client: HiroClient, empty_blob_vertex: BlobVertex, png_img: bytes): from arago.hiro.backend.six.storage import Hiro6StorageRest storage = Hiro6StorageRest(client) storage.blob.set(empty_blob_vertex.id, png_img) res = storage.blob.get(empty_blob_vertex.id) res.raise_for_status() assert isinstance(res, Response) pass def test_blob_get_data(self, client: HiroClient, empty_blob_vertex: BlobVertex, png_img: bytes): from arago.hiro.backend.six.storage import Hiro6StorageData storage = Hiro6StorageData(client) storage.blob.set(empty_blob_vertex.id, png_img) res = storage.blob.get(empty_blob_vertex.id) assert isinstance(res, ContextManager) with res as g: assert isinstance(g, Generator) i = next(g) assert isinstance(i, bytes) pass def test_blob_get_model(self, client: HiroClient, empty_blob_vertex: BlobVertex, png_img: bytes): from arago.hiro.backend.six.storage import Hiro6StorageModel storage = Hiro6StorageModel(client) storage.blob.set(empty_blob_vertex, png_img) res = storage.blob.get(empty_blob_vertex) assert isinstance(res, ContextManager) with res as g: assert isinstance(g, Generator) i = next(g) assert isinstance(i, bytes) pass @pytest.mark.skip def test_log_get_rest(self, client: HiroClient): from arago.hiro.backend.six.storage import Hiro6StorageRest storage = Hiro6StorageRest(client) res = storage.log.get() res.raise_for_status() assert isinstance(res, Response) pass @pytest.mark.skip def test_log_get_data(self, client: HiroClient): from arago.hiro.backend.six.storage import Hiro6StorageData storage = Hiro6StorageData(client) res = storage.log.get() assert isinstance(res, Generator) i = next(res) assert isinstance(i, dict) pass @pytest.mark.skip def test_log_get_model(self, client: HiroClient): from arago.hiro.backend.six.storage import Hiro6StorageModel storage = Hiro6StorageModel(client) res = storage.log.get() assert isinstance(res, Generator) i = next(res) assert isinstance(i, Edge) pass def test_ts_get_rest(self, client: HiroClient, existing_ts_vertex: Vertex): from arago.hiro.backend.six.storage import Hiro6StorageRest storage = Hiro6StorageRest(client) res = storage.ts.get(existing_ts_vertex.id) res.raise_for_status() assert isinstance(res, Response) pass def test_ts_get_data(self, client: HiroClient, existing_ts_vertex: Vertex): from arago.hiro.backend.six.storage import Hiro6StorageData storage = Hiro6StorageData(client) res = storage.ts.get(existing_ts_vertex.id) assert isinstance(res, Generator) i = next(res) assert isinstance(i, dict) pass def test_ts_get_model(self, client: HiroClient, existing_ts_vertex: TimeSeriesVertex): from arago.hiro.backend.six.storage import Hiro6StorageModel storage = Hiro6StorageModel(client) res = storage.ts.get(existing_ts_vertex) assert isinstance(res, Generator) i = next(res) assert isinstance(i, TimeSeriesValue) pass def test_ts_add_rest(self, client: HiroClient, empty_ts_vertex: Vertex): from arago.hiro.backend.six.storage import Hiro6StorageRest storage = Hiro6StorageRest(client) body = json.dumps({ 'timestamp': datetime_to_timestamp_ms( datetime.combine(date.fromisoformat('1920-01-02'), time(), timezone.utc)), 'value': 'Isaac Asimov', }) res = storage.ts.add(empty_ts_vertex.id, body) res.raise_for_status() assert isinstance(res, Response) pass def test_ts_add_data(self, client: HiroClient, empty_ts_vertex: Vertex): def g(): yield { 'timestamp': datetime_to_timestamp_ms( datetime.combine(date.fromisoformat('1920-01-02'), time(), timezone.utc)), 'value': 'Isaac Asimov', } from arago.hiro.backend.six.storage import Hiro6StorageData storage = Hiro6StorageData(client) storage.ts.add(empty_ts_vertex.id, g()) pass def test_ts_add_model(self, client: HiroClient, empty_ts_vertex: TimeSeriesVertex, isaac_asimov_birth_day: datetime): def g(): yield TimeSeriesValue( timestamp=datetime.combine(date.fromisoformat('1920-01-02'), time(), timezone.utc), value='Isaac Asimov', ) from arago.hiro.backend.six.storage import Hiro6StorageModel storage = Hiro6StorageModel(client) storage.ts.add(empty_ts_vertex, g()) res = storage.ts.get(empty_ts_vertex, start=datetime.combine(date.fromisoformat('1900-01-01'), time(), timezone.utc)) assert isinstance(res, Generator) i = next(res) assert isinstance(i, TimeSeriesValue) pass

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null

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1

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7

971a508b3b19df26239489f2de55f967d5176afa

36

py

Python

pyblazing/pyblazing/apiv2/algebra/__init__.py

msadang/blazingsql

5fe3e418dbee4a3961998b0e25ec81100a1a1490

[ "Apache-2.0" ]

null

pyblazing/pyblazing/apiv2/algebra/__init__.py

msadang/blazingsql

5fe3e418dbee4a3961998b0e25ec81100a1a1490

[ "Apache-2.0" ]

null

pyblazing/pyblazing/apiv2/algebra/__init__.py

msadang/blazingsql

5fe3e418dbee4a3961998b0e25ec81100a1a1490

[ "Apache-2.0" ]

null

from .json_plan import get_json_plan

36

0.888889

7

36

4.142857

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0

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7

975d43b5000138d6dc21260ddd6b1c9dfaf67be5

8,181

py

Python

tests/test_io.py

brews/dearprudence

c73d32346d6f0b276dfd5a9b3c8791b17a1fe026

[ "Apache-2.0" ]

2

2021-11-24T14:24:20.000Z

2021-11-30T17:14:55.000Z

tests/test_io.py

brews/dearprudence

c73d32346d6f0b276dfd5a9b3c8791b17a1fe026

[ "Apache-2.0" ]

null

tests/test_io.py

brews/dearprudence

c73d32346d6f0b276dfd5a9b3c8791b17a1fe026

[ "Apache-2.0" ]

null

import io from dearprudence import read_params, write_params, Cmip6Record, SimpleRun def test_read_params_reads(): """ Test that dodola.read_params reads two params from JSON string in parameter file """ expected_p1 = SimpleRun( target="historical", variable_id="tasmax", historical=Cmip6Record( activity_id="CMIP", experiment_id="historical", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ssp=Cmip6Record( activity_id="ScenarioMIP", experiment_id="ssp370", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ) expected_p2 = SimpleRun( target="ssp", variable_id="tasmax", historical=Cmip6Record( activity_id="CMIP", experiment_id="historical", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ssp=Cmip6Record( activity_id="ScenarioMIP", experiment_id="ssp370", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ) fl = io.StringIO( """jobs: | [ { "target": "historical", "variable_id": "tasmax", "historical": { "activity_id": "CMIP", "experiment_id": "historical", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" }, "ssp": { "activity_id": "ScenarioMIP", "experiment_id": "ssp370", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" } }, { "target": "ssp", "variable_id": "tasmax", "historical": { "activity_id": "CMIP", "experiment_id": "historical", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" }, "ssp": { "activity_id": "ScenarioMIP", "experiment_id": "ssp370", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" } } ] """ ) p1, p2 = read_params(fl) assert p1 == expected_p1 assert p2 == expected_p2 def test_write_params_writes(tmp_path): """ Test that dodola.write_params writes two SimpleRuns to a parameter file. """ params = [ SimpleRun( target="historical", variable_id="tasmax", historical=Cmip6Record( activity_id="CMIP", experiment_id="historical", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ssp=Cmip6Record( activity_id="ScenarioMIP", experiment_id="ssp370", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ), SimpleRun( target="ssp", variable_id="tasmax", historical=Cmip6Record( activity_id="CMIP", experiment_id="historical", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ssp=Cmip6Record( activity_id="ScenarioMIP", experiment_id="ssp370", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ), ] path = tmp_path / "test_write_params_writes.yaml" expected_contents = """jobs: | [ { "target": "historical", "variable_id": "tasmax", "historical": { "activity_id": "CMIP", "experiment_id": "historical", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" }, "ssp": { "activity_id": "ScenarioMIP", "experiment_id": "ssp370", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" } }, { "target": "ssp", "variable_id": "tasmax", "historical": { "activity_id": "CMIP", "experiment_id": "historical", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" }, "ssp": { "activity_id": "ScenarioMIP", "experiment_id": "ssp370", "table_id": "day", "variable_id": "tasmax", "source_id": "ACCESS-CM2", "institution_id": "CSIRO-ARCCSS", "member_id": "r1i1p1f1", "grid_label": "gn", "version": "20191108" } } ] """ write_params(path, params) contents = path.read_text() assert contents == expected_contents def test_reread_written_params(tmp_path): """ Test dodola.read_params reads matching params written by dodola.write_params. """ params_written = [ SimpleRun( target="ssp", variable_id="tasmax", historical=Cmip6Record( activity_id="CMIP", experiment_id="historical", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ssp=Cmip6Record( activity_id="ScenarioMIP", experiment_id="ssp370", table_id="day", variable_id="tasmax", source_id="ACCESS-CM2", institution_id="CSIRO-ARCCSS", member_id="r1i1p1f1", grid_label="gn", version="20191108", ), ) ] path = tmp_path / "test_reread_written_params.yaml" write_params(path, params_written) params_reread = read_params(str(path)) assert params_written == params_reread

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null

0

7

9769e15a0e8f6b1b8aa3d8b270e8ae468a2f6cfa

147

py

Python

MeshToolkit/Tool/__init__.py

microy/MeshToolkit

df239e73fcd78c726e14c6b92eef7318da5e4297

[ "MIT" ]

4

2017-03-03T15:18:02.000Z

2020-01-26T23:23:34.000Z

MeshToolkit/Tool/__init__.py

microy/PyMeshToolkit

df239e73fcd78c726e14c6b92eef7318da5e4297

[ "MIT" ]

null

MeshToolkit/Tool/__init__.py

microy/PyMeshToolkit

df239e73fcd78c726e14c6b92eef7318da5e4297

[ "MIT" ]

2

2017-07-16T08:59:30.000Z

2018-10-19T15:54:35.000Z

from . import Colormap from .Colormap import * from . import Primitive from .Primitive import * from . import Statistics from .Statistics import *

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1

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7

977bcf73d6fdd0190968ee07e9b979ca2d43165e

30,633

py

Python

transformer/Models.py

bahducoup/factorized_training

0af38f16338a9bcfcc11091b1a6b75befd67f234

[ "MIT" ]

null

transformer/Models.py

bahducoup/factorized_training

0af38f16338a9bcfcc11091b1a6b75befd67f234

[ "MIT" ]

null

transformer/Models.py

bahducoup/factorized_training

0af38f16338a9bcfcc11091b1a6b75befd67f234

[ "MIT" ]

null

''' Define the Transformer model ''' import torch import torch.nn as nn import numpy as np from transformer.Layers import EncoderLayer, DecoderLayer, LowRankEncoderLayer, LowRankDecoderLayer, LowRankResidualEncoderLayer, LowRankResidualDecoderLayer from torch.cuda.amp import autocast import logging logging.basicConfig() logger = logging.getLogger() logger.setLevel(logging.INFO) __author__ = "Yu-Hsiang Huang" def get_pad_mask(seq, pad_idx): return (seq != pad_idx).unsqueeze(-2) def get_subsequent_mask(seq): ''' For masking out the subsequent info. ''' sz_b, len_s = seq.size() subsequent_mask = (1 - torch.triu( torch.ones((1, len_s, len_s), device=seq.device), diagonal=1)).bool() return subsequent_mask class PositionalEncoding(nn.Module): def __init__(self, d_hid, n_position=200): super(PositionalEncoding, self).__init__() # Not a parameter self.register_buffer('pos_table', self._get_sinusoid_encoding_table(n_position, d_hid)) def _get_sinusoid_encoding_table(self, n_position, d_hid): ''' Sinusoid position encoding table ''' # TODO: make it with torch instead of numpy def get_position_angle_vec(position): return [position / np.power(10000, 2 * (hid_j // 2) / d_hid) for hid_j in range(d_hid)] sinusoid_table = np.array([get_position_angle_vec(pos_i) for pos_i in range(n_position)]) sinusoid_table[:, 0::2] = np.sin(sinusoid_table[:, 0::2]) # dim 2i sinusoid_table[:, 1::2] = np.cos(sinusoid_table[:, 1::2]) # dim 2i+1 return torch.FloatTensor(sinusoid_table).unsqueeze(0) @autocast() def forward(self, x): return x + self.pos_table[:, :x.size(1)].clone().detach() class Encoder(nn.Module): ''' A encoder model with self attention mechanism. ''' def __init__( self, n_src_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, dropout=0.1, n_position=200, scale_emb=False): super().__init__() self.src_word_emb = nn.Embedding(n_src_vocab, d_word_vec, padding_idx=pad_idx) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) self.layer_stack = nn.ModuleList([ EncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) for _ in range(n_layers)]) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, src_seq, src_mask, return_attns=False): enc_slf_attn_list = [] # -- Forward enc_output = self.src_word_emb(src_seq) if self.scale_emb: enc_output *= self.d_model ** 0.5 enc_output = self.dropout(self.position_enc(enc_output)) enc_output = self.layer_norm(enc_output) for enc_layer in self.layer_stack: enc_output, enc_slf_attn = enc_layer(enc_output, slf_attn_mask=src_mask) enc_slf_attn_list += [enc_slf_attn] if return_attns else [] if return_attns: return enc_output, enc_slf_attn_list return enc_output, class LowRankEncoder(nn.Module): ''' A encoder model with self attention mechanism. ''' def __init__( self, n_src_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, dropout=0.1, n_position=200, scale_emb=False): super().__init__() self.src_word_emb = nn.Embedding(n_src_vocab, d_word_vec, padding_idx=pad_idx) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) #self.layer_stack = nn.ModuleList([ # LowRankEncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) # for _ in range(n_layers)]) layer_stack = [] for layer_index in range(n_layers): if layer_index < 1: layer_stack.append(EncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) else: layer_stack.append(LowRankEncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) self.layer_stack = nn.ModuleList(layer_stack) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, src_seq, src_mask, return_attns=False): enc_slf_attn_list = [] # -- Forward enc_output = self.src_word_emb(src_seq) if self.scale_emb: enc_output *= self.d_model ** 0.5 enc_output = self.dropout(self.position_enc(enc_output)) enc_output = self.layer_norm(enc_output) for enc_layer in self.layer_stack: enc_output, enc_slf_attn = enc_layer(enc_output, slf_attn_mask=src_mask) enc_slf_attn_list += [enc_slf_attn] if return_attns else [] if return_attns: return enc_output, enc_slf_attn_list return enc_output, class LowRankResidualEncoder(nn.Module): ''' A encoder model with self attention mechanism. ''' def __init__( self, n_src_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, dropout=0.1, n_position=200, scale_emb=False): super().__init__() self.src_word_emb = nn.Embedding(n_src_vocab, d_word_vec, padding_idx=pad_idx) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) #self.layer_stack = nn.ModuleList([ # LowRankEncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) # for _ in range(n_layers)]) layer_stack = [] for layer_index in range(n_layers): if layer_index < 1: layer_stack.append(EncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) else: layer_stack.append(LowRankResidualEncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) self.layer_stack = nn.ModuleList(layer_stack) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, src_seq, src_mask, return_attns=False): enc_slf_attn_list = [] # -- Forward enc_output = self.src_word_emb(src_seq) if self.scale_emb: enc_output *= self.d_model ** 0.5 enc_output = self.dropout(self.position_enc(enc_output)) enc_output = self.layer_norm(enc_output) for enc_layer in self.layer_stack: enc_output, enc_slf_attn = enc_layer(enc_output, slf_attn_mask=src_mask) enc_slf_attn_list += [enc_slf_attn] if return_attns else [] if return_attns: return enc_output, enc_slf_attn_list return enc_output, class AdaptEncoder(nn.Module): ''' A encoder model with self attention mechanism. ''' def __init__( self, n_src_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, dropout=0.1, n_position=200, scale_emb=False, est_ranks=None): super().__init__() self.src_word_emb = nn.Embedding(n_src_vocab, d_word_vec, padding_idx=pad_idx) #self.src_word_emb_u = nn.Embedding(n_src_vocab, int(d_word_vec/4), padding_idx=pad_idx) #self.src_word_emb_v = nn.Linear(int(d_word_vec/4), d_word_vec) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) encoder_counter = 0 layer_stack = [] for layer_index in range(n_layers): if layer_index < 1: layer_stack.append( EncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) ) else: layer_stack.append( AdaptEncoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout, est_rank_enc=est_ranks[encoder_counter:encoder_counter+6]) ) encoder_counter += 6 self.layer_stack = nn.ModuleList(layer_stack) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, src_seq, src_mask, return_attns=False): enc_slf_attn_list = [] # -- Forward enc_output = self.src_word_emb_v(self.src_word_emb_u(src_seq)) if self.scale_emb: enc_output *= self.d_model ** 0.5 enc_output = self.dropout(self.position_enc(enc_output)) enc_output = self.layer_norm(enc_output) for enc_layer in self.layer_stack: enc_output, enc_slf_attn = enc_layer(enc_output, slf_attn_mask=src_mask) enc_slf_attn_list += [enc_slf_attn] if return_attns else [] if return_attns: return enc_output, enc_slf_attn_list return enc_output, class Decoder(nn.Module): ''' A decoder model with self attention mechanism. ''' def __init__( self, n_trg_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, n_position=200, dropout=0.1, scale_emb=False): super().__init__() self.trg_word_emb = nn.Embedding(n_trg_vocab, d_word_vec, padding_idx=pad_idx) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) self.layer_stack = nn.ModuleList([ DecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) for _ in range(n_layers)]) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, trg_seq, trg_mask, enc_output, src_mask, return_attns=False): dec_slf_attn_list, dec_enc_attn_list = [], [] # -- Forward dec_output = self.trg_word_emb(trg_seq) if self.scale_emb: dec_output *= self.d_model ** 0.5 dec_output = self.dropout(self.position_enc(dec_output)) dec_output = self.layer_norm(dec_output) for dec_layer in self.layer_stack: dec_output, dec_slf_attn, dec_enc_attn = dec_layer( dec_output, enc_output, slf_attn_mask=trg_mask, dec_enc_attn_mask=src_mask) dec_slf_attn_list += [dec_slf_attn] if return_attns else [] dec_enc_attn_list += [dec_enc_attn] if return_attns else [] if return_attns: return dec_output, dec_slf_attn_list, dec_enc_attn_list return dec_output, class LowRankDecoder(nn.Module): ''' A decoder model with self attention mechanism. ''' def __init__( self, n_trg_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, n_position=200, dropout=0.1, scale_emb=False): super().__init__() self.trg_word_emb = nn.Embedding(n_trg_vocab, d_word_vec, padding_idx=pad_idx) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) #self.layer_stack = nn.ModuleList([ # LowRankDecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) # for _ in range(n_layers)]) layer_stack = [] for layer_index in range(n_layers): if layer_index < 1: layer_stack.append(DecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) else: layer_stack.append(LowRankDecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) self.layer_stack = nn.ModuleList(layer_stack) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, trg_seq, trg_mask, enc_output, src_mask, return_attns=False): dec_slf_attn_list, dec_enc_attn_list = [], [] # -- Forward dec_output = self.trg_word_emb(trg_seq) if self.scale_emb: dec_output *= self.d_model ** 0.5 dec_output = self.dropout(self.position_enc(dec_output)) dec_output = self.layer_norm(dec_output) for dec_layer in self.layer_stack: dec_output, dec_slf_attn, dec_enc_attn = dec_layer( dec_output, enc_output, slf_attn_mask=trg_mask, dec_enc_attn_mask=src_mask) dec_slf_attn_list += [dec_slf_attn] if return_attns else [] dec_enc_attn_list += [dec_enc_attn] if return_attns else [] if return_attns: return dec_output, dec_slf_attn_list, dec_enc_attn_list return dec_output, class LowRankResidualDecoder(nn.Module): ''' A decoder model with self attention mechanism. ''' def __init__( self, n_trg_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, n_position=200, dropout=0.1, scale_emb=False): super().__init__() self.trg_word_emb = nn.Embedding(n_trg_vocab, d_word_vec, padding_idx=pad_idx) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) #self.layer_stack = nn.ModuleList([ # LowRankDecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout) # for _ in range(n_layers)]) layer_stack = [] for layer_index in range(n_layers): if layer_index < 1: layer_stack.append(DecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) else: layer_stack.append(LowRankResidualDecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) self.layer_stack = nn.ModuleList(layer_stack) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, trg_seq, trg_mask, enc_output, src_mask, return_attns=False): dec_slf_attn_list, dec_enc_attn_list = [], [] # -- Forward dec_output = self.trg_word_emb(trg_seq) if self.scale_emb: dec_output *= self.d_model ** 0.5 dec_output = self.dropout(self.position_enc(dec_output)) dec_output = self.layer_norm(dec_output) for dec_layer in self.layer_stack: dec_output, dec_slf_attn, dec_enc_attn = dec_layer( dec_output, enc_output, slf_attn_mask=trg_mask, dec_enc_attn_mask=src_mask) dec_slf_attn_list += [dec_slf_attn] if return_attns else [] dec_enc_attn_list += [dec_enc_attn] if return_attns else [] if return_attns: return dec_output, dec_slf_attn_list, dec_enc_attn_list return dec_output, class AdaptDecoder(nn.Module): ''' A decoder model with self attention mechanism. ''' def __init__( self, n_trg_vocab, d_word_vec, n_layers, n_head, d_k, d_v, d_model, d_inner, pad_idx, n_position=200, dropout=0.1, scale_emb=False, est_ranks=None): super().__init__() self.trg_word_emb = nn.Embedding(n_trg_vocab, d_word_vec, padding_idx=pad_idx) #self.trg_word_emb_u = nn.Embedding(n_trg_vocab, int(d_word_vec/4), padding_idx=pad_idx) #self.trg_word_emb_v = nn.Linear(int(d_word_vec/4), d_word_vec) self.position_enc = PositionalEncoding(d_word_vec, n_position=n_position) self.dropout = nn.Dropout(p=dropout) decoder_counter = int(6 * (n_layers - 1)) layer_stack = [] for layer_index in range(n_layers): if layer_index < 1: layer_stack.append(DecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout)) else: layer_stack.append(AdaptDecoderLayer(d_model, d_inner, n_head, d_k, d_v, dropout=dropout, est_rank_dec=est_ranks[decoder_counter:decoder_counter+10])) decoder_counter += 10 self.layer_stack = nn.ModuleList(layer_stack) self.layer_norm = nn.LayerNorm(d_model, eps=1e-6) self.scale_emb = scale_emb self.d_model = d_model @autocast() def forward(self, trg_seq, trg_mask, enc_output, src_mask, return_attns=False): dec_slf_attn_list, dec_enc_attn_list = [], [] # -- Forward dec_output = self.trg_word_emb_v(self.trg_word_emb_u(trg_seq)) if self.scale_emb: dec_output *= self.d_model ** 0.5 dec_output = self.dropout(self.position_enc(dec_output)) dec_output = self.layer_norm(dec_output) for dec_layer in self.layer_stack: dec_output, dec_slf_attn, dec_enc_attn = dec_layer( dec_output, enc_output, slf_attn_mask=trg_mask, dec_enc_attn_mask=src_mask) dec_slf_attn_list += [dec_slf_attn] if return_attns else [] dec_enc_attn_list += [dec_enc_attn] if return_attns else [] if return_attns: return dec_output, dec_slf_attn_list, dec_enc_attn_list return dec_output, class Transformer(nn.Module): ''' A sequence to sequence model with attention mechanism. ''' def __init__( self, n_src_vocab, n_trg_vocab, src_pad_idx, trg_pad_idx, d_word_vec=512, d_model=512, d_inner=2048, n_layers=6, n_head=8, d_k=64, d_v=64, dropout=0.1, n_position=200, trg_emb_prj_weight_sharing=True, emb_src_trg_weight_sharing=True, scale_emb_or_prj='prj'): super().__init__() self.src_pad_idx, self.trg_pad_idx = src_pad_idx, trg_pad_idx # In section 3.4 of paper "Attention Is All You Need", there is such detail: # "In our model, we share the same weight matrix between the two # embedding layers and the pre-softmax linear transformation... # In the embedding layers, we multiply those weights by \sqrt{d_model}". # # Options here: # 'emb': multiply \sqrt{d_model} to embedding output # 'prj': multiply (\sqrt{d_model} ^ -1) to linear projection output # 'none': no multiplication assert scale_emb_or_prj in ['emb', 'prj', 'none'] scale_emb = (scale_emb_or_prj == 'emb') if trg_emb_prj_weight_sharing else False self.scale_prj = (scale_emb_or_prj == 'prj') if trg_emb_prj_weight_sharing else False self.d_model = d_model self.encoder = Encoder( n_src_vocab=n_src_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=src_pad_idx, dropout=dropout, scale_emb=scale_emb) self.decoder = Decoder( n_trg_vocab=n_trg_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=trg_pad_idx, dropout=dropout, scale_emb=scale_emb) self.trg_word_prj = nn.Linear(d_model, n_trg_vocab, bias=False) for p in self.parameters(): if p.dim() > 1: nn.init.xavier_uniform_(p) assert d_model == d_word_vec, \ 'To facilitate the residual connections, \ the dimensions of all module outputs shall be the same.' if trg_emb_prj_weight_sharing: # Share the weight between target word embedding & last dense layer self.trg_word_prj.weight = self.decoder.trg_word_emb.weight if emb_src_trg_weight_sharing: self.encoder.src_word_emb.weight = self.decoder.trg_word_emb.weight @autocast() def forward(self, src_seq, trg_seq): src_mask = get_pad_mask(src_seq, self.src_pad_idx) trg_mask = get_pad_mask(trg_seq, self.trg_pad_idx) & get_subsequent_mask(trg_seq) enc_output, *_ = self.encoder(src_seq, src_mask) dec_output, *_ = self.decoder(trg_seq, trg_mask, enc_output, src_mask) seq_logit = self.trg_word_prj(dec_output) if self.scale_prj: seq_logit *= self.d_model ** -0.5 return seq_logit #return seq_logit.view(-1, seq_logit.size(2)) class LowRankTransformer(nn.Module): ''' A sequence to sequence model with attention mechanism. ''' def __init__( self, n_src_vocab, n_trg_vocab, src_pad_idx, trg_pad_idx, d_word_vec=512, d_model=512, d_inner=2048, n_layers=6, n_head=8, d_k=64, d_v=64, dropout=0.1, n_position=200, trg_emb_prj_weight_sharing=True, emb_src_trg_weight_sharing=True, scale_emb_or_prj='prj'): super().__init__() self.src_pad_idx, self.trg_pad_idx = src_pad_idx, trg_pad_idx # In section 3.4 of paper "Attention Is All You Need", there is such detail: # "In our model, we share the same weight matrix between the two # embedding layers and the pre-softmax linear transformation... # In the embedding layers, we multiply those weights by \sqrt{d_model}". # # Options here: # 'emb': multiply \sqrt{d_model} to embedding output # 'prj': multiply (\sqrt{d_model} ^ -1) to linear projection output # 'none': no multiplication assert scale_emb_or_prj in ['emb', 'prj', 'none'] scale_emb = (scale_emb_or_prj == 'emb') if trg_emb_prj_weight_sharing else False self.scale_prj = (scale_emb_or_prj == 'prj') if trg_emb_prj_weight_sharing else False self.d_model = d_model self.encoder = LowRankEncoder( n_src_vocab=n_src_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=src_pad_idx, dropout=dropout, scale_emb=scale_emb) self.decoder = LowRankDecoder( n_trg_vocab=n_trg_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=trg_pad_idx, dropout=dropout, scale_emb=scale_emb) self.trg_word_prj = nn.Linear(d_model, n_trg_vocab, bias=False) for p in self.parameters(): if p.dim() > 1: nn.init.xavier_uniform_(p) assert d_model == d_word_vec, \ 'To facilitate the residual connections, \ the dimensions of all module outputs shall be the same.' if trg_emb_prj_weight_sharing: # Share the weight between target word embedding & last dense layer self.trg_word_prj.weight = self.decoder.trg_word_emb.weight if emb_src_trg_weight_sharing: self.encoder.src_word_emb.weight = self.decoder.trg_word_emb.weight @autocast() def forward(self, src_seq, trg_seq): src_mask = get_pad_mask(src_seq, self.src_pad_idx) trg_mask = get_pad_mask(trg_seq, self.trg_pad_idx) & get_subsequent_mask(trg_seq) enc_output, *_ = self.encoder(src_seq, src_mask) dec_output, *_ = self.decoder(trg_seq, trg_mask, enc_output, src_mask) seq_logit = self.trg_word_prj(dec_output) if self.scale_prj: seq_logit *= self.d_model ** -0.5 return seq_logit class AdaptTransformer(nn.Module): ''' A sequence to sequence model with attention mechanism. ''' def __init__( self, n_src_vocab, n_trg_vocab, src_pad_idx, trg_pad_idx, d_word_vec=512, d_model=512, d_inner=2048, n_layers=6, n_head=8, d_k=64, d_v=64, dropout=0.1, n_position=200, trg_emb_prj_weight_sharing=True, emb_src_trg_weight_sharing=True, scale_emb_or_prj='prj', est_ranks=None): super().__init__() self.src_pad_idx, self.trg_pad_idx = src_pad_idx, trg_pad_idx # In section 3.4 of paper "Attention Is All You Need", there is such detail: # "In our model, we share the same weight matrix between the two # embedding layers and the pre-softmax linear transformation... # In the embedding layers, we multiply those weights by \sqrt{d_model}". # # Options here: # 'emb': multiply \sqrt{d_model} to embedding output # 'prj': multiply (\sqrt{d_model} ^ -1) to linear projection output # 'none': no multiplication assert scale_emb_or_prj in ['emb', 'prj', 'none'] scale_emb = (scale_emb_or_prj == 'emb') if trg_emb_prj_weight_sharing else False self.scale_prj = (scale_emb_or_prj == 'prj') if trg_emb_prj_weight_sharing else False self.d_model = d_model self.encoder = AdaptEncoder( n_src_vocab=n_src_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=src_pad_idx, dropout=dropout, scale_emb=scale_emb, est_ranks=est_ranks) self.decoder = AdaptDecoder( n_trg_vocab=n_trg_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=trg_pad_idx, dropout=dropout, scale_emb=scale_emb, est_ranks=est_ranks) #self.trg_word_prj = nn.Linear(d_model, n_trg_vocab, bias=False) self.trg_word_prj_u = nn.Linear(d_model, int(d_model/4), bias=False) self.trg_word_prj_v = nn.Linear(int(d_model/4), n_trg_vocab, bias=False) for p in self.parameters(): if p.dim() > 1: nn.init.xavier_uniform_(p) assert d_model == d_word_vec, \ 'To facilitate the residual connections, \ the dimensions of all module outputs shall be the same.' if trg_emb_prj_weight_sharing: # Share the weight between target word embedding & last dense layer self.trg_word_prj.weight = self.decoder.trg_word_emb.weight #self.trg_word_prj_u.weight.data = self.decoder.trg_word_emb_v.weight.data.transpose(0, 1) #self.trg_word_prj_v.weight = self.decoder.trg_word_emb_u.weight if emb_src_trg_weight_sharing: self.encoder.src_word_emb.weight = self.decoder.trg_word_emb.weight #self.encoder.src_word_emb_u.weight = self.decoder.trg_word_emb_u.weight #self.encoder.src_word_emb_v.weight = self.decoder.trg_word_emb_v.weight #self.encoder.src_word_emb_v.bias = self.decoder.trg_word_emb_v.bias @autocast() def forward(self, src_seq, trg_seq): src_mask = get_pad_mask(src_seq, self.src_pad_idx) trg_mask = get_pad_mask(trg_seq, self.trg_pad_idx) & get_subsequent_mask(trg_seq) enc_output, *_ = self.encoder(src_seq, src_mask) dec_output, *_ = self.decoder(trg_seq, trg_mask, enc_output, src_mask) seq_logit = self.trg_word_prj(dec_output) #seq_logit = self.trg_word_prj_v(self.trg_word_prj_u(dec_output)) #print(dec_output.size(), self.trg_word_prj_u.weight.size()) #a = self.trg_word_prj_u(dec_output) #seq_logit = self.trg_word_prj_v(a) if self.scale_prj: seq_logit *= self.d_model ** -0.5 return seq_logit class LowRankResidualTransformer(nn.Module): ''' A sequence to sequence model with attention mechanism. ''' def __init__( self, n_src_vocab, n_trg_vocab, src_pad_idx, trg_pad_idx, d_word_vec=512, d_model=512, d_inner=2048, n_layers=6, n_head=8, d_k=64, d_v=64, dropout=0.1, n_position=200, trg_emb_prj_weight_sharing=True, emb_src_trg_weight_sharing=True, scale_emb_or_prj='prj'): super().__init__() self.src_pad_idx, self.trg_pad_idx = src_pad_idx, trg_pad_idx # In section 3.4 of paper "Attention Is All You Need", there is such detail: # "In our model, we share the same weight matrix between the two # embedding layers and the pre-softmax linear transformation... # In the embedding layers, we multiply those weights by \sqrt{d_model}". # # Options here: # 'emb': multiply \sqrt{d_model} to embedding output # 'prj': multiply (\sqrt{d_model} ^ -1) to linear projection output # 'none': no multiplication assert scale_emb_or_prj in ['emb', 'prj', 'none'] scale_emb = (scale_emb_or_prj == 'emb') if trg_emb_prj_weight_sharing else False self.scale_prj = (scale_emb_or_prj == 'prj') if trg_emb_prj_weight_sharing else False self.d_model = d_model self.encoder = LowRankResidualEncoder( n_src_vocab=n_src_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=src_pad_idx, dropout=dropout, scale_emb=scale_emb) self.decoder = LowRankResidualDecoder( n_trg_vocab=n_trg_vocab, n_position=n_position, d_word_vec=d_word_vec, d_model=d_model, d_inner=d_inner, n_layers=n_layers, n_head=n_head, d_k=d_k, d_v=d_v, pad_idx=trg_pad_idx, dropout=dropout, scale_emb=scale_emb) self.trg_word_prj = nn.Linear(d_model, n_trg_vocab, bias=False) for p in self.parameters(): if p.dim() > 1: nn.init.xavier_uniform_(p) assert d_model == d_word_vec, \ 'To facilitate the residual connections, \ the dimensions of all module outputs shall be the same.' if trg_emb_prj_weight_sharing: # Share the weight between target word embedding & last dense layer self.trg_word_prj.weight = self.decoder.trg_word_emb.weight if emb_src_trg_weight_sharing: self.encoder.src_word_emb.weight = self.decoder.trg_word_emb.weight @autocast() def forward(self, src_seq, trg_seq): src_mask = get_pad_mask(src_seq, self.src_pad_idx) trg_mask = get_pad_mask(trg_seq, self.trg_pad_idx) & get_subsequent_mask(trg_seq) enc_output, *_ = self.encoder(src_seq, src_mask) dec_output, *_ = self.decoder(trg_seq, trg_mask, enc_output, src_mask) seq_logit = self.trg_word_prj(dec_output) if self.scale_prj: seq_logit *= self.d_model ** -0.5 return seq_logit

40.519841

157

0.653544

4,595

30,633

3.964091

0.048313

0.037222

0.022289

0.013066

0.900412

0.896733

0.889047

0.880373

0.875103

0.870766

0

0.010123

0.25182

30,633

756

158

40.519841

0.784633

0.14331

0

0.842767

0

0.003835

0

0.001323

0.016771

1

0.062893

false

0

0.012579

0.006289

0.155136

0

null

0

1

0

1

0

null

0

7

978aad74526c4b51efe4123d53a7d5d3bf35b8cc

1,308

py

Python

tests/test_fields.py

goerz/docxcompose

def1f70d64385253a170ae8f88fedea61b4e7cf7

[ "MIT" ]

null

tests/test_fields.py

goerz/docxcompose

def1f70d64385253a170ae8f88fedea61b4e7cf7

[ "MIT" ]

null

tests/test_fields.py

goerz/docxcompose

def1f70d64385253a170ae8f88fedea61b4e7cf7

[ "MIT" ]

null

from docxcompose.properties import FieldBase class FieldForTesting(FieldBase): def _get_fieldname_string(self): return self.node class TestFieldNameParsing(object): def test_can_parse_quoted_property_names(self): node = ' DOCPROPERTY "Propertyname" \\* MERGEFORMAT ' assert "Propertyname" == FieldForTesting(node).name def test_can_parse_unquoted_property_names(self): node = ' DOCPROPERTY Propertyname \\* MERGEFORMAT ' assert "Propertyname" == FieldForTesting(node).name def test_can_parse_quoted_property_names_with_spaces(self): node = ' DOCPROPERTY "Text Property" \\* MERGEFORMAT ' assert "Text Property" == FieldForTesting(node).name def test_can_parse_unquoted_property_names_with_spaces(self): node = ' DOCPROPERTY Text Property \\* MERGEFORMAT ' assert "Text Property" == FieldForTesting(node).name def test_can_parse_quoted_property_names_with_extra_spaces(self): node = ' DOCPROPERTY "Text Property" \\* MERGEFORMAT ' assert "Text Property" == FieldForTesting(node).name def test_can_parse_unquoted_property_names_with_extra_spaces(self): node = ' DOCPROPERTY Text Property \\* MERGEFORMAT ' assert "Text Property" == FieldForTesting(node).name

37.371429

71

0.718654

139

1,308

6.453237

0.230216

0.107023

0.06689

0.100334

0.845039

0.821628

0

0.194954

1,308

34

72

38.470588

0.851852

0

0.434783

0

0.264526

0

0.26087

1

0.304348

false

0

0.043478

0.478261

0

null

0

1

0

null

0

1

0

7

97c58ee8c563ece38985e9137906949cb50e2bf9

84,049

py

Python

pybind/slxos/v17r_2_00/cpu_state/top/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

null

pybind/slxos/v17r_2_00/cpu_state/top/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

null

pybind/slxos/v17r_2_00/cpu_state/top/__init__.py

extremenetworks/pybind

44c467e71b2b425be63867aba6e6fa28b2cfe7fb

[ "Apache-2.0" ]

1

2021-11-05T22:15:42.000Z

from operator import attrgetter import pyangbind.lib.xpathhelper as xpathhelper from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType, RestrictedClassType, TypedListType from pyangbind.lib.yangtypes import YANGBool, YANGListType, YANGDynClass, ReferenceType from pyangbind.lib.base import PybindBase from decimal import Decimal from bitarray import bitarray import __builtin__ import cpu_top_process_information class top(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module brocade-RAS-operational - based on the path /cpu-state/top. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: Top CPU utilization """ __slots__ = ('_pybind_generated_by', '_path_helper', '_yang_name', '_rest_name', '_extmethods', '__cpu_curr_time','__cpu_system_uptime','__cpu_no_of_users','__cpu_load_average_one_min','__cpu_load_average_five_min','__cpu_load_average_fifteen_min','__cpu_total_task','__cpu_running_task','__cpu_sleeping_task','__cpu_stopped_task','__cpu_zombie_task','__cpu_util_user','__cpu_util_kernel','__cpu_util_nice','__cpu_util_idle','__cpu_util_iowait','__cpu_util_hi','__cpu_util_si','__cpu_util_st','__cpu_total_mem','__cpu_used_mem','__cpu_free_mem','__cpu_buffer_mem','__cpu_total_mem_swap','__cpu_used_mem_swap','__cpu_free_mem_swap','__cpu_cache_mem_swap','__cpu_top_process_information',) _yang_name = 'top' _rest_name = 'top' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): path_helper_ = kwargs.pop("path_helper", None) if path_helper_ is False: self._path_helper = False elif path_helper_ is not None and isinstance(path_helper_, xpathhelper.YANGPathHelper): self._path_helper = path_helper_ elif hasattr(self, "_parent"): path_helper_ = getattr(self._parent, "_path_helper", False) self._path_helper = path_helper_ else: self._path_helper = False extmethods = kwargs.pop("extmethods", None) if extmethods is False: self._extmethods = False elif extmethods is not None and isinstance(extmethods, dict): self._extmethods = extmethods elif hasattr(self, "_parent"): extmethods = getattr(self._parent, "_extmethods", None) self._extmethods = extmethods else: self._extmethods = False self.__cpu_no_of_users = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-no-of-users", rest_name="cpu-no-of-users", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) self.__cpu_util_kernel = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-kernel", rest_name="cpu-util-kernel", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_running_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-running-task", rest_name="cpu-running-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) self.__cpu_sleeping_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-sleeping-task", rest_name="cpu-sleeping-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) self.__cpu_stopped_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-stopped-task", rest_name="cpu-stopped-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) self.__cpu_cache_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-cache-mem-swap", rest_name="cpu-cache-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_total_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-total-mem-swap", rest_name="cpu-total-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_buffer_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-buffer-mem", rest_name="cpu-buffer-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_util_iowait = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-iowait", rest_name="cpu-util-iowait", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_total_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-total-task", rest_name="cpu-total-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) self.__cpu_util_nice = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-nice", rest_name="cpu-util-nice", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_load_average_fifteen_min = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-fifteen-min", rest_name="cpu-load-average-fifteen-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_load_average_five_min = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-five-min", rest_name="cpu-load-average-five-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_util_hi = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-hi", rest_name="cpu-util-hi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_util_idle = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-idle", rest_name="cpu-util-idle", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_system_uptime = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-system-uptime", rest_name="cpu-system-uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_util_user = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-user", rest_name="cpu-util-user", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_load_average_one_min = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-one-min", rest_name="cpu-load-average-one-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_used_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-used-mem", rest_name="cpu-used-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_curr_time = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-curr-time", rest_name="cpu-curr-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_total_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-total-mem", rest_name="cpu-total-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_top_process_information = YANGDynClass(base=YANGListType("cpu_process_id",cpu_top_process_information.cpu_top_process_information, yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cpu-process-id', extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}), is_container='list', yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='list', is_config=False) self.__cpu_free_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-free-mem", rest_name="cpu-free-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_zombie_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-zombie-task", rest_name="cpu-zombie-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) self.__cpu_util_si = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-si", rest_name="cpu-util-si", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_util_st = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-st", rest_name="cpu-util-st", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) self.__cpu_free_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-free-mem-swap", rest_name="cpu-free-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) self.__cpu_used_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-used-mem-swap", rest_name="cpu-used-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return [u'cpu-state', u'top'] def _rest_path(self): if hasattr(self, "_parent"): if self._rest_name: return self._parent._rest_path()+[self._rest_name] else: return self._parent._rest_path() else: return [u'cpu-state', u'top'] def _get_cpu_curr_time(self): """ Getter method for cpu_curr_time, mapped from YANG variable /cpu_state/top/cpu_curr_time (string) YANG Description: Current time of the system """ return self.__cpu_curr_time def _set_cpu_curr_time(self, v, load=False): """ Setter method for cpu_curr_time, mapped from YANG variable /cpu_state/top/cpu_curr_time (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_curr_time is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_curr_time() directly. YANG Description: Current time of the system """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-curr-time", rest_name="cpu-curr-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_curr_time must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-curr-time", rest_name="cpu-curr-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_curr_time = t if hasattr(self, '_set'): self._set() def _unset_cpu_curr_time(self): self.__cpu_curr_time = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-curr-time", rest_name="cpu-curr-time", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_system_uptime(self): """ Getter method for cpu_system_uptime, mapped from YANG variable /cpu_state/top/cpu_system_uptime (string) YANG Description: System uptime since last boot """ return self.__cpu_system_uptime def _set_cpu_system_uptime(self, v, load=False): """ Setter method for cpu_system_uptime, mapped from YANG variable /cpu_state/top/cpu_system_uptime (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_system_uptime is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_system_uptime() directly. YANG Description: System uptime since last boot """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-system-uptime", rest_name="cpu-system-uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_system_uptime must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-system-uptime", rest_name="cpu-system-uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_system_uptime = t if hasattr(self, '_set'): self._set() def _unset_cpu_system_uptime(self): self.__cpu_system_uptime = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-system-uptime", rest_name="cpu-system-uptime", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_no_of_users(self): """ Getter method for cpu_no_of_users, mapped from YANG variable /cpu_state/top/cpu_no_of_users (uint32) YANG Description: Current number of users logged in """ return self.__cpu_no_of_users def _set_cpu_no_of_users(self, v, load=False): """ Setter method for cpu_no_of_users, mapped from YANG variable /cpu_state/top/cpu_no_of_users (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_no_of_users is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_no_of_users() directly. YANG Description: Current number of users logged in """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-no-of-users", rest_name="cpu-no-of-users", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_no_of_users must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-no-of-users", rest_name="cpu-no-of-users", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False)""", }) self.__cpu_no_of_users = t if hasattr(self, '_set'): self._set() def _unset_cpu_no_of_users(self): self.__cpu_no_of_users = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-no-of-users", rest_name="cpu-no-of-users", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) def _get_cpu_load_average_one_min(self): """ Getter method for cpu_load_average_one_min, mapped from YANG variable /cpu_state/top/cpu_load_average_one_min (decimal64) YANG Description: CPU load average in the last one minute """ return self.__cpu_load_average_one_min def _set_cpu_load_average_one_min(self, v, load=False): """ Setter method for cpu_load_average_one_min, mapped from YANG variable /cpu_state/top/cpu_load_average_one_min (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_load_average_one_min is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_load_average_one_min() directly. YANG Description: CPU load average in the last one minute """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-one-min", rest_name="cpu-load-average-one-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_load_average_one_min must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-one-min", rest_name="cpu-load-average-one-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_load_average_one_min = t if hasattr(self, '_set'): self._set() def _unset_cpu_load_average_one_min(self): self.__cpu_load_average_one_min = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-one-min", rest_name="cpu-load-average-one-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_load_average_five_min(self): """ Getter method for cpu_load_average_five_min, mapped from YANG variable /cpu_state/top/cpu_load_average_five_min (decimal64) YANG Description: CPU load average in the last five minute """ return self.__cpu_load_average_five_min def _set_cpu_load_average_five_min(self, v, load=False): """ Setter method for cpu_load_average_five_min, mapped from YANG variable /cpu_state/top/cpu_load_average_five_min (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_load_average_five_min is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_load_average_five_min() directly. YANG Description: CPU load average in the last five minute """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-five-min", rest_name="cpu-load-average-five-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_load_average_five_min must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-five-min", rest_name="cpu-load-average-five-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_load_average_five_min = t if hasattr(self, '_set'): self._set() def _unset_cpu_load_average_five_min(self): self.__cpu_load_average_five_min = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-five-min", rest_name="cpu-load-average-five-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_load_average_fifteen_min(self): """ Getter method for cpu_load_average_fifteen_min, mapped from YANG variable /cpu_state/top/cpu_load_average_fifteen_min (decimal64) YANG Description: CPU load average in the last fifteen minute """ return self.__cpu_load_average_fifteen_min def _set_cpu_load_average_fifteen_min(self, v, load=False): """ Setter method for cpu_load_average_fifteen_min, mapped from YANG variable /cpu_state/top/cpu_load_average_fifteen_min (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_load_average_fifteen_min is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_load_average_fifteen_min() directly. YANG Description: CPU load average in the last fifteen minute """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-fifteen-min", rest_name="cpu-load-average-fifteen-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_load_average_fifteen_min must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-fifteen-min", rest_name="cpu-load-average-fifteen-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_load_average_fifteen_min = t if hasattr(self, '_set'): self._set() def _unset_cpu_load_average_fifteen_min(self): self.__cpu_load_average_fifteen_min = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-load-average-fifteen-min", rest_name="cpu-load-average-fifteen-min", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_total_task(self): """ Getter method for cpu_total_task, mapped from YANG variable /cpu_state/top/cpu_total_task (uint32) YANG Description: Total number of tasks running """ return self.__cpu_total_task def _set_cpu_total_task(self, v, load=False): """ Setter method for cpu_total_task, mapped from YANG variable /cpu_state/top/cpu_total_task (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_total_task is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_total_task() directly. YANG Description: Total number of tasks running """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-total-task", rest_name="cpu-total-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_total_task must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-total-task", rest_name="cpu-total-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False)""", }) self.__cpu_total_task = t if hasattr(self, '_set'): self._set() def _unset_cpu_total_task(self): self.__cpu_total_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-total-task", rest_name="cpu-total-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) def _get_cpu_running_task(self): """ Getter method for cpu_running_task, mapped from YANG variable /cpu_state/top/cpu_running_task (uint32) YANG Description: Number of running tasks """ return self.__cpu_running_task def _set_cpu_running_task(self, v, load=False): """ Setter method for cpu_running_task, mapped from YANG variable /cpu_state/top/cpu_running_task (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_running_task is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_running_task() directly. YANG Description: Number of running tasks """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-running-task", rest_name="cpu-running-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_running_task must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-running-task", rest_name="cpu-running-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False)""", }) self.__cpu_running_task = t if hasattr(self, '_set'): self._set() def _unset_cpu_running_task(self): self.__cpu_running_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-running-task", rest_name="cpu-running-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) def _get_cpu_sleeping_task(self): """ Getter method for cpu_sleeping_task, mapped from YANG variable /cpu_state/top/cpu_sleeping_task (uint32) YANG Description: N umber of sleeping tasks """ return self.__cpu_sleeping_task def _set_cpu_sleeping_task(self, v, load=False): """ Setter method for cpu_sleeping_task, mapped from YANG variable /cpu_state/top/cpu_sleeping_task (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_sleeping_task is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_sleeping_task() directly. YANG Description: N umber of sleeping tasks """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-sleeping-task", rest_name="cpu-sleeping-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_sleeping_task must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-sleeping-task", rest_name="cpu-sleeping-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False)""", }) self.__cpu_sleeping_task = t if hasattr(self, '_set'): self._set() def _unset_cpu_sleeping_task(self): self.__cpu_sleeping_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-sleeping-task", rest_name="cpu-sleeping-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) def _get_cpu_stopped_task(self): """ Getter method for cpu_stopped_task, mapped from YANG variable /cpu_state/top/cpu_stopped_task (uint32) YANG Description: Number of stopped tasks """ return self.__cpu_stopped_task def _set_cpu_stopped_task(self, v, load=False): """ Setter method for cpu_stopped_task, mapped from YANG variable /cpu_state/top/cpu_stopped_task (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_stopped_task is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_stopped_task() directly. YANG Description: Number of stopped tasks """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-stopped-task", rest_name="cpu-stopped-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_stopped_task must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-stopped-task", rest_name="cpu-stopped-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False)""", }) self.__cpu_stopped_task = t if hasattr(self, '_set'): self._set() def _unset_cpu_stopped_task(self): self.__cpu_stopped_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-stopped-task", rest_name="cpu-stopped-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) def _get_cpu_zombie_task(self): """ Getter method for cpu_zombie_task, mapped from YANG variable /cpu_state/top/cpu_zombie_task (uint32) YANG Description: Number of zombie tasks """ return self.__cpu_zombie_task def _set_cpu_zombie_task(self, v, load=False): """ Setter method for cpu_zombie_task, mapped from YANG variable /cpu_state/top/cpu_zombie_task (uint32) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_zombie_task is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_zombie_task() directly. YANG Description: Number of zombie tasks """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-zombie-task", rest_name="cpu-zombie-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_zombie_task must be of a type compatible with uint32""", 'defined-type': "uint32", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-zombie-task", rest_name="cpu-zombie-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False)""", }) self.__cpu_zombie_task = t if hasattr(self, '_set'): self._set() def _unset_cpu_zombie_task(self): self.__cpu_zombie_task = YANGDynClass(base=RestrictedClassType(base_type=long, restriction_dict={'range': ['0..4294967295']}, int_size=32), is_leaf=True, yang_name="cpu-zombie-task", rest_name="cpu-zombie-task", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='uint32', is_config=False) def _get_cpu_util_user(self): """ Getter method for cpu_util_user, mapped from YANG variable /cpu_state/top/cpu_util_user (decimal64) YANG Description: CPU utlization % by user processes """ return self.__cpu_util_user def _set_cpu_util_user(self, v, load=False): """ Setter method for cpu_util_user, mapped from YANG variable /cpu_state/top/cpu_util_user (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_user is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_user() directly. YANG Description: CPU utlization % by user processes """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-user", rest_name="cpu-util-user", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_user must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-user", rest_name="cpu-util-user", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_user = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_user(self): self.__cpu_util_user = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-user", rest_name="cpu-util-user", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_kernel(self): """ Getter method for cpu_util_kernel, mapped from YANG variable /cpu_state/top/cpu_util_kernel (decimal64) YANG Description: CPU utlization % by kernel processes """ return self.__cpu_util_kernel def _set_cpu_util_kernel(self, v, load=False): """ Setter method for cpu_util_kernel, mapped from YANG variable /cpu_state/top/cpu_util_kernel (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_kernel is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_kernel() directly. YANG Description: CPU utlization % by kernel processes """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-kernel", rest_name="cpu-util-kernel", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_kernel must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-kernel", rest_name="cpu-util-kernel", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_kernel = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_kernel(self): self.__cpu_util_kernel = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-kernel", rest_name="cpu-util-kernel", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_nice(self): """ Getter method for cpu_util_nice, mapped from YANG variable /cpu_state/top/cpu_util_nice (decimal64) YANG Description: CPU utlization % by processes with nice value """ return self.__cpu_util_nice def _set_cpu_util_nice(self, v, load=False): """ Setter method for cpu_util_nice, mapped from YANG variable /cpu_state/top/cpu_util_nice (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_nice is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_nice() directly. YANG Description: CPU utlization % by processes with nice value """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-nice", rest_name="cpu-util-nice", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_nice must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-nice", rest_name="cpu-util-nice", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_nice = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_nice(self): self.__cpu_util_nice = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-nice", rest_name="cpu-util-nice", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_idle(self): """ Getter method for cpu_util_idle, mapped from YANG variable /cpu_state/top/cpu_util_idle (decimal64) YANG Description: CPU utlization % at idle state """ return self.__cpu_util_idle def _set_cpu_util_idle(self, v, load=False): """ Setter method for cpu_util_idle, mapped from YANG variable /cpu_state/top/cpu_util_idle (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_idle is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_idle() directly. YANG Description: CPU utlization % at idle state """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-idle", rest_name="cpu-util-idle", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_idle must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-idle", rest_name="cpu-util-idle", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_idle = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_idle(self): self.__cpu_util_idle = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-idle", rest_name="cpu-util-idle", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_iowait(self): """ Getter method for cpu_util_iowait, mapped from YANG variable /cpu_state/top/cpu_util_iowait (decimal64) YANG Description: CPU utlization % waiting for I/O """ return self.__cpu_util_iowait def _set_cpu_util_iowait(self, v, load=False): """ Setter method for cpu_util_iowait, mapped from YANG variable /cpu_state/top/cpu_util_iowait (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_iowait is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_iowait() directly. YANG Description: CPU utlization % waiting for I/O """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-iowait", rest_name="cpu-util-iowait", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_iowait must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-iowait", rest_name="cpu-util-iowait", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_iowait = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_iowait(self): self.__cpu_util_iowait = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-iowait", rest_name="cpu-util-iowait", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_hi(self): """ Getter method for cpu_util_hi, mapped from YANG variable /cpu_state/top/cpu_util_hi (decimal64) YANG Description: CPU utlization % for hardware interrupt """ return self.__cpu_util_hi def _set_cpu_util_hi(self, v, load=False): """ Setter method for cpu_util_hi, mapped from YANG variable /cpu_state/top/cpu_util_hi (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_hi is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_hi() directly. YANG Description: CPU utlization % for hardware interrupt """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-hi", rest_name="cpu-util-hi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_hi must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-hi", rest_name="cpu-util-hi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_hi = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_hi(self): self.__cpu_util_hi = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-hi", rest_name="cpu-util-hi", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_si(self): """ Getter method for cpu_util_si, mapped from YANG variable /cpu_state/top/cpu_util_si (decimal64) YANG Description: CPU utlization % for software interrupt """ return self.__cpu_util_si def _set_cpu_util_si(self, v, load=False): """ Setter method for cpu_util_si, mapped from YANG variable /cpu_state/top/cpu_util_si (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_si is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_si() directly. YANG Description: CPU utlization % for software interrupt """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-si", rest_name="cpu-util-si", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_si must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-si", rest_name="cpu-util-si", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_si = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_si(self): self.__cpu_util_si = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-si", rest_name="cpu-util-si", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_util_st(self): """ Getter method for cpu_util_st, mapped from YANG variable /cpu_state/top/cpu_util_st (decimal64) YANG Description: CPU utlization % for steal time """ return self.__cpu_util_st def _set_cpu_util_st(self, v, load=False): """ Setter method for cpu_util_st, mapped from YANG variable /cpu_state/top/cpu_util_st (decimal64) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_util_st is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_util_st() directly. YANG Description: CPU utlization % for steal time """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-st", rest_name="cpu-util-st", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_util_st must be of a type compatible with decimal64""", 'defined-type': "decimal64", 'generated-type': """YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-st", rest_name="cpu-util-st", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False)""", }) self.__cpu_util_st = t if hasattr(self, '_set'): self._set() def _unset_cpu_util_st(self): self.__cpu_util_st = YANGDynClass(base=RestrictedPrecisionDecimalType(precision=2), is_leaf=True, yang_name="cpu-util-st", rest_name="cpu-util-st", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='decimal64', is_config=False) def _get_cpu_total_mem(self): """ Getter method for cpu_total_mem, mapped from YANG variable /cpu_state/top/cpu_total_mem (string) YANG Description: Total memory """ return self.__cpu_total_mem def _set_cpu_total_mem(self, v, load=False): """ Setter method for cpu_total_mem, mapped from YANG variable /cpu_state/top/cpu_total_mem (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_total_mem is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_total_mem() directly. YANG Description: Total memory """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-total-mem", rest_name="cpu-total-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_total_mem must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-total-mem", rest_name="cpu-total-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_total_mem = t if hasattr(self, '_set'): self._set() def _unset_cpu_total_mem(self): self.__cpu_total_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-total-mem", rest_name="cpu-total-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_used_mem(self): """ Getter method for cpu_used_mem, mapped from YANG variable /cpu_state/top/cpu_used_mem (string) YANG Description: Total used memory """ return self.__cpu_used_mem def _set_cpu_used_mem(self, v, load=False): """ Setter method for cpu_used_mem, mapped from YANG variable /cpu_state/top/cpu_used_mem (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_used_mem is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_used_mem() directly. YANG Description: Total used memory """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-used-mem", rest_name="cpu-used-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_used_mem must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-used-mem", rest_name="cpu-used-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_used_mem = t if hasattr(self, '_set'): self._set() def _unset_cpu_used_mem(self): self.__cpu_used_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-used-mem", rest_name="cpu-used-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_free_mem(self): """ Getter method for cpu_free_mem, mapped from YANG variable /cpu_state/top/cpu_free_mem (string) YANG Description: Total Free memory """ return self.__cpu_free_mem def _set_cpu_free_mem(self, v, load=False): """ Setter method for cpu_free_mem, mapped from YANG variable /cpu_state/top/cpu_free_mem (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_free_mem is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_free_mem() directly. YANG Description: Total Free memory """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-free-mem", rest_name="cpu-free-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_free_mem must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-free-mem", rest_name="cpu-free-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_free_mem = t if hasattr(self, '_set'): self._set() def _unset_cpu_free_mem(self): self.__cpu_free_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-free-mem", rest_name="cpu-free-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_buffer_mem(self): """ Getter method for cpu_buffer_mem, mapped from YANG variable /cpu_state/top/cpu_buffer_mem (string) YANG Description: Total memory used for buffers """ return self.__cpu_buffer_mem def _set_cpu_buffer_mem(self, v, load=False): """ Setter method for cpu_buffer_mem, mapped from YANG variable /cpu_state/top/cpu_buffer_mem (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_buffer_mem is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_buffer_mem() directly. YANG Description: Total memory used for buffers """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-buffer-mem", rest_name="cpu-buffer-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_buffer_mem must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-buffer-mem", rest_name="cpu-buffer-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_buffer_mem = t if hasattr(self, '_set'): self._set() def _unset_cpu_buffer_mem(self): self.__cpu_buffer_mem = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-buffer-mem", rest_name="cpu-buffer-mem", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_total_mem_swap(self): """ Getter method for cpu_total_mem_swap, mapped from YANG variable /cpu_state/top/cpu_total_mem_swap (string) YANG Description: Total swap memory """ return self.__cpu_total_mem_swap def _set_cpu_total_mem_swap(self, v, load=False): """ Setter method for cpu_total_mem_swap, mapped from YANG variable /cpu_state/top/cpu_total_mem_swap (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_total_mem_swap is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_total_mem_swap() directly. YANG Description: Total swap memory """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-total-mem-swap", rest_name="cpu-total-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_total_mem_swap must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-total-mem-swap", rest_name="cpu-total-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_total_mem_swap = t if hasattr(self, '_set'): self._set() def _unset_cpu_total_mem_swap(self): self.__cpu_total_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-total-mem-swap", rest_name="cpu-total-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_used_mem_swap(self): """ Getter method for cpu_used_mem_swap, mapped from YANG variable /cpu_state/top/cpu_used_mem_swap (string) YANG Description: Total used swap memory """ return self.__cpu_used_mem_swap def _set_cpu_used_mem_swap(self, v, load=False): """ Setter method for cpu_used_mem_swap, mapped from YANG variable /cpu_state/top/cpu_used_mem_swap (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_used_mem_swap is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_used_mem_swap() directly. YANG Description: Total used swap memory """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-used-mem-swap", rest_name="cpu-used-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_used_mem_swap must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-used-mem-swap", rest_name="cpu-used-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_used_mem_swap = t if hasattr(self, '_set'): self._set() def _unset_cpu_used_mem_swap(self): self.__cpu_used_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-used-mem-swap", rest_name="cpu-used-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_free_mem_swap(self): """ Getter method for cpu_free_mem_swap, mapped from YANG variable /cpu_state/top/cpu_free_mem_swap (string) YANG Description: Total Free swap memory """ return self.__cpu_free_mem_swap def _set_cpu_free_mem_swap(self, v, load=False): """ Setter method for cpu_free_mem_swap, mapped from YANG variable /cpu_state/top/cpu_free_mem_swap (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_free_mem_swap is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_free_mem_swap() directly. YANG Description: Total Free swap memory """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-free-mem-swap", rest_name="cpu-free-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_free_mem_swap must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-free-mem-swap", rest_name="cpu-free-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_free_mem_swap = t if hasattr(self, '_set'): self._set() def _unset_cpu_free_mem_swap(self): self.__cpu_free_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-free-mem-swap", rest_name="cpu-free-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_cache_mem_swap(self): """ Getter method for cpu_cache_mem_swap, mapped from YANG variable /cpu_state/top/cpu_cache_mem_swap (string) YANG Description: Total memory used by cache """ return self.__cpu_cache_mem_swap def _set_cpu_cache_mem_swap(self, v, load=False): """ Setter method for cpu_cache_mem_swap, mapped from YANG variable /cpu_state/top/cpu_cache_mem_swap (string) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_cache_mem_swap is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_cache_mem_swap() directly. YANG Description: Total memory used by cache """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=unicode, is_leaf=True, yang_name="cpu-cache-mem-swap", rest_name="cpu-cache-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_cache_mem_swap must be of a type compatible with string""", 'defined-type': "string", 'generated-type': """YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-cache-mem-swap", rest_name="cpu-cache-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False)""", }) self.__cpu_cache_mem_swap = t if hasattr(self, '_set'): self._set() def _unset_cpu_cache_mem_swap(self): self.__cpu_cache_mem_swap = YANGDynClass(base=unicode, is_leaf=True, yang_name="cpu-cache-mem-swap", rest_name="cpu-cache-mem-swap", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='string', is_config=False) def _get_cpu_top_process_information(self): """ Getter method for cpu_top_process_information, mapped from YANG variable /cpu_state/top/cpu_top_process_information (list) YANG Description: Process information list from the top """ return self.__cpu_top_process_information def _set_cpu_top_process_information(self, v, load=False): """ Setter method for cpu_top_process_information, mapped from YANG variable /cpu_state/top/cpu_top_process_information (list) If this variable is read-only (config: false) in the source YANG file, then _set_cpu_top_process_information is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_cpu_top_process_information() directly. YANG Description: Process information list from the top """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGListType("cpu_process_id",cpu_top_process_information.cpu_top_process_information, yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cpu-process-id', extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}), is_container='list', yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='list', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """cpu_top_process_information must be of a type compatible with list""", 'defined-type': "list", 'generated-type': """YANGDynClass(base=YANGListType("cpu_process_id",cpu_top_process_information.cpu_top_process_information, yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cpu-process-id', extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}), is_container='list', yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='list', is_config=False)""", }) self.__cpu_top_process_information = t if hasattr(self, '_set'): self._set() def _unset_cpu_top_process_information(self): self.__cpu_top_process_information = YANGDynClass(base=YANGListType("cpu_process_id",cpu_top_process_information.cpu_top_process_information, yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, is_container='list', user_ordered=False, path_helper=self._path_helper, yang_keys='cpu-process-id', extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}), is_container='list', yang_name="cpu-top-process-information", rest_name="cpu-top-process-information", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, extensions={u'tailf-common': {u'callpoint': u'RAS-cpu-top-process-information', u'cli-suppress-show-path': None}}, namespace='urn:brocade.com:mgmt:brocade-RAS-operational', defining_module='brocade-RAS-operational', yang_type='list', is_config=False) cpu_curr_time = __builtin__.property(_get_cpu_curr_time) cpu_system_uptime = __builtin__.property(_get_cpu_system_uptime) cpu_no_of_users = __builtin__.property(_get_cpu_no_of_users) cpu_load_average_one_min = __builtin__.property(_get_cpu_load_average_one_min) cpu_load_average_five_min = __builtin__.property(_get_cpu_load_average_five_min) cpu_load_average_fifteen_min = __builtin__.property(_get_cpu_load_average_fifteen_min) cpu_total_task = __builtin__.property(_get_cpu_total_task) cpu_running_task = __builtin__.property(_get_cpu_running_task) cpu_sleeping_task = __builtin__.property(_get_cpu_sleeping_task) cpu_stopped_task = __builtin__.property(_get_cpu_stopped_task) cpu_zombie_task = __builtin__.property(_get_cpu_zombie_task) cpu_util_user = __builtin__.property(_get_cpu_util_user) cpu_util_kernel = __builtin__.property(_get_cpu_util_kernel) cpu_util_nice = __builtin__.property(_get_cpu_util_nice) cpu_util_idle = __builtin__.property(_get_cpu_util_idle) cpu_util_iowait = __builtin__.property(_get_cpu_util_iowait) cpu_util_hi = __builtin__.property(_get_cpu_util_hi) cpu_util_si = __builtin__.property(_get_cpu_util_si) cpu_util_st = __builtin__.property(_get_cpu_util_st) cpu_total_mem = __builtin__.property(_get_cpu_total_mem) cpu_used_mem = __builtin__.property(_get_cpu_used_mem) cpu_free_mem = __builtin__.property(_get_cpu_free_mem) cpu_buffer_mem = __builtin__.property(_get_cpu_buffer_mem) cpu_total_mem_swap = __builtin__.property(_get_cpu_total_mem_swap) cpu_used_mem_swap = __builtin__.property(_get_cpu_used_mem_swap) cpu_free_mem_swap = __builtin__.property(_get_cpu_free_mem_swap) cpu_cache_mem_swap = __builtin__.property(_get_cpu_cache_mem_swap) cpu_top_process_information = __builtin__.property(_get_cpu_top_process_information) _pyangbind_elements = {'cpu_curr_time': cpu_curr_time, 'cpu_system_uptime': cpu_system_uptime, 'cpu_no_of_users': cpu_no_of_users, 'cpu_load_average_one_min': cpu_load_average_one_min, 'cpu_load_average_five_min': cpu_load_average_five_min, 'cpu_load_average_fifteen_min': cpu_load_average_fifteen_min, 'cpu_total_task': cpu_total_task, 'cpu_running_task': cpu_running_task, 'cpu_sleeping_task': cpu_sleeping_task, 'cpu_stopped_task': cpu_stopped_task, 'cpu_zombie_task': cpu_zombie_task, 'cpu_util_user': cpu_util_user, 'cpu_util_kernel': cpu_util_kernel, 'cpu_util_nice': cpu_util_nice, 'cpu_util_idle': cpu_util_idle, 'cpu_util_iowait': cpu_util_iowait, 'cpu_util_hi': cpu_util_hi, 'cpu_util_si': cpu_util_si, 'cpu_util_st': cpu_util_st, 'cpu_total_mem': cpu_total_mem, 'cpu_used_mem': cpu_used_mem, 'cpu_free_mem': cpu_free_mem, 'cpu_buffer_mem': cpu_buffer_mem, 'cpu_total_mem_swap': cpu_total_mem_swap, 'cpu_used_mem_swap': cpu_used_mem_swap, 'cpu_free_mem_swap': cpu_free_mem_swap, 'cpu_cache_mem_swap': cpu_cache_mem_swap, 'cpu_top_process_information': cpu_top_process_information, }

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1,094

0.755892

11,937

84,049

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0.041083

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0.881995

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84,049

1,182

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71.107445

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null

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1

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null

0

7

c104d14fe19c6e7ee0eb568a17da8d50fdfcc779

73

py

Python

up/tasks/det/plugins/efl/utils/__init__.py

ModelTC/EOD

164bff80486e9ae6a095a97667b365c46ceabd86

[ "Apache-2.0" ]

196

2021-10-30T05:15:36.000Z

2022-03-30T18:43:40.000Z

eod/tasks/det/plugins/efl/utils/__init__.py

YZW-explorer/EOD

f10e64de86c0f356ebf5c7e923f4042eec4207b1

[ "Apache-2.0" ]

12

2021-10-30T11:33:28.000Z

2022-03-31T14:22:58.000Z

eod/tasks/det/plugins/efl/utils/__init__.py

YZW-explorer/EOD

f10e64de86c0f356ebf5c7e923f4042eec4207b1

[ "Apache-2.0" ]

23

2021-11-01T07:26:17.000Z

2022-03-27T05:55:37.000Z

from .optimizer_helper import * # noqa from .hook_helper import * # noqa

24.333333

38

0.753425

10

73

5.3

0.6

0.45283

0.603774

0

0.164384

73

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36.5

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1

0

null

0

1

0

1

0

1

0

7

c108101d20a44e2229262e2d7cad756063c0af66

88

py

Python

cloudmesh/sh/cm.py

JulienPalard/cloudmesh

1759b88daef3a13917492d028fdabe08f03ca996

[ "Apache-2.0" ]

null

cloudmesh/sh/cm.py

JulienPalard/cloudmesh

1759b88daef3a13917492d028fdabe08f03ca996

[ "Apache-2.0" ]

4

2021-06-08T20:20:08.000Z

2022-03-11T23:30:22.000Z

cloudmesh/sh/cm.py

JulienPalard/cloudmesh

1759b88daef3a13917492d028fdabe08f03ca996

[ "Apache-2.0" ]

null

from sh import cm as cm_sh def shell(*args, **kwargs): return cm_sh(args, kwargs)

14.666667

30

0.681818

16

88

3.625

0.625

0.137931

0

0.204545

88

5

31

17.6

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0.333333

true

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0.333333

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null

0

1

0

null

0

1

0

1

0

7

c1a628f6f27f8177750dd6224445ba7b9ce48960

96

py

Python

pysatMadrigal/__init__.py

pysat/pysatMadrigal

02681e2be6aff3a360d1bf8c48a11988d94ad3ce

[ "BSD-3-Clause" ]

1

2022-01-19T16:37:56.000Z

pysatMadrigal/__init__.py

pysat/pysatMadrigal

02681e2be6aff3a360d1bf8c48a11988d94ad3ce

[ "BSD-3-Clause" ]

42

2020-04-24T04:33:49.000Z

2022-03-01T19:11:16.000Z

pysatMadrigal/__init__.py

pysat/pysatMadrigal

02681e2be6aff3a360d1bf8c48a11988d94ad3ce

[ "BSD-3-Clause" ]

1

2021-08-19T21:21:18.000Z

from pysatMadrigal import instruments # noqa F401 from pysatMadrigal import utils # noqa F401

32

50

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0.435897

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true

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1

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7

a9c6e5b3bd1dcd49706f614e12bea5b880b991b6

46,407

py

Python

preprocessing/frequent_words.py

vendi12/tweet_cluster

f84f0bb237f91822b4560952115011a3388b43bd

[ "MIT" ]

null

preprocessing/frequent_words.py

vendi12/tweet_cluster

f84f0bb237f91822b4560952115011a3388b43bd

[ "MIT" ]

null

preprocessing/frequent_words.py

vendi12/tweet_cluster

f84f0bb237f91822b4560952115011a3388b43bd

[ "MIT" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- ''' Top 5,000 lemmas list from http://www.wordfrequency.info ''' STOPLIST = ['limited', 'similarity', 'magnetic', 'personally', 'dynamic', 'yellow', 'four', 'protest', 'sleep', 'controversial', 'mansion', 'grandparent', 'ridiculous', 'captain', 'hate', 'aggression', 'forget', 'whose', 'voter', 'violate', 'eligible', 'electricity', 'disability', 'bike', 'restriction', 'teaspoon', 'under', 'teaching', 'sorry', 'pride', 'worth', 'merchant', 'statute', 'risk', 'blanket', 'rise', 'every', 'govern', 'affect', 'demographic', 'vast', 'school', 'scholar', 'investigator', 'wooden', 'conceive', 'solution', 'frozen', 'convenience', 'debris', 'math', 'calendar', 'cholesterol', 'enhance', 'reliable', 'triumph', 'clothes', 'enjoy', 'disclose', 'charter', 'force', 'tired', 'awake', 'consistent', 'foreigner', 'direct', 'pulse', 'horn', 'chef', 'elegant', 'second', 'street', 'estimated', 'ideology', 'monster', 'even', 'employ', 'disk', 'hide', 'pace', 'integrity', 'cooking', 'troubled', 'liberty', 'spokesman', 'hostile', 'above', 'conduct', 'supplier', 'new', 'net', 'increasing', 'ever', 'specialist', 'hero', 'reporter', 'herb', 'never', 'here', 'protection', 'studio', 'pursuit', 'active', 'path', 'interpret', 'celebration', 'dry', 'voice', 'daughter', 'forum', 'auction', 'study', 'economics', 'jail', 'controversy', 'credit', 'mentor', 'smoke', 'permit', 'military', 'suitable', 'punishment', 'diplomat', 'criticism', 'golden', 'fantastic', 'divide', 'campaign', 'straw', 'replace', 'county', 'visible', 'moral', 'diabetes', 'glance', 'total', 'unit', 'plot', 'would', 'army', 'carpet', 'hospital', 'hungry', 'negative', 'bronze', 'afterward', 'elect', 'foster', 'call', 'therefore', 'recommend', 'strike', 'survive', 'sexy', 'type', 'tell', 'coin', 'breathe', 'holy', 'relax', 'successful', 'remark', 'expose', 'depression', 'aware', 'warn', 'phone', 'warm', 'adult', 'excellent', 'organic', 'hole', 'hold', 'squad', 'trait', 'must', 'shoot', 'join', 'room', 'characterize', 'pursue', 'work', 'gasoline', 'roof', 'obstacle', 'modify', 'era', 'install', 'elbow', 'my', 'example', 'phrase', 'boyfriend', 'impose', 'estate', 'give', 'household', 'organized', 'frown', 'involve', 'currency', 'hormone', 'want', 'counseling', 'attract', 'rid', 'guarantee', 'ceremony', 'autonomy', 'end', 'recovery', 'thing', 'provide', 'mouse', 'travel', 'awareness', 'feature', 'machine', 'how', 'hot', 'significance', 'answer', 'gate', 'ordinary', 'chase', 'beach', 'classify', 'massive', 'badly', 'regional', 'minority', 'beauty', 'mess', 'ladder', 'after', 'loyalty', 'lab', 'wrong', 'fragile', 'lay', 'curiosity', 'president', 'law', 'lap', 'excited', 'slavery', 'purchase', 'attempt', 'third', 'amid', 'appreciate', 'Japanese', 'greet', 'childhood', 'patent', 'complexity', 'maintain', 'green', 'ultimate', 'enter', 'diary', 'democratic', 'order', 'wind', 'wine', 'origin', 'interpretation', 'feedback', 'office', 'deck', 'consent', 'over', 'vary', 'suspend', 'oven', 'innovative', 'lightning', 'TRUE', 'mayor', 'before', 'forehead', 'heritage', 'fit', 'personal', 'fix', 'striking', 'writing', 'better', 'production', 'compelling', 'encounter', 'fade', 'persist', 'carve', 'hidden', 'overcome', 'virtually', 'versus', 'then', 'them', 'tourist', 'combination', 'spray', 'weakness', 'workout', 'safe', 'disturb', 'break', 'band', 'therapy', 'they', 'interrupt', 'altogether', 'one', 'tourism', 'silver', 'bank', 'bread', 'rhetoric', 'meat', 'oxygen', 'inventory', 'debut', 'leading', 'explode', 'victory', 'reasonable', 'each', 'side', 'bone', 'mean', 'prohibit', 'financial', 'telescope', 'fairly', 'series', 'initiate', 'aide', 'carry', 'used', 'trading', 'rental', 'laboratory', 'dawn', 'collector', 'ring', 'whip', 'contend', 'network', 'driving', 'specialty', 'scent', 'ha', 'crucial', 'forty', 'content', 're', 'encourage', 'rare', 'reader', 'medicine', 'surprise', 'newly', 'engineer', 'forth', 'independence', 'foundation', 'Cuban', 'perception', 'barrier', 'associate', 'rail', 'given', 'free', 'standard', 'missionary', 'ancient', 'formation', 'struggle', 'estimate', 'kit', 'publication', 'aisle', 'enormous', 'refugee', 'ritual', 'genre', 'economically', 'adjustment', 'oppose', 'signature', 'kingdom', 'onto', 'overnight', 'user', 'already', 'render', 'Palestinian', 'researcher', 'primary', 'rank', 'hearing', 'restrict', 'wash', 'instruct', 'alarm', 'another', 'AIDS', 'thick', 'electronic', 'illustrate', 'inmate', 'agriculture', 'basketball', 'fence', 'Congress', 'attach', 'top', 'engagement', 'historian', 'approximately', 'fiction', 'gut', 'master', 'too', 'architect', 'percentage', 'cycle', 'bitter', 'listen', 'urban', 'ceiling', 'murder', 'asset', 'radiation', 'happily', 'tool', 'serve', 'wisdom', 'ankle', 'western', 'somewhat', 'evil', 'crawl', 'symptom', 'distance', 'anxiety', 'FALSE', 'target', 'frankly', 'surrounding', 'hike', 'tree', 'likely', 'cite', 'project', 'matter', 'persuade', 'flame', 'cabin', 'historical', 'feeling', 'solely', 'brilliant', 'acquisition', 'bridge', 'fashion', 'willingness', 'runner', 'modern', 'mind', 'mine', 'raw', 'rat', 'seed', 'manner', 'plunge', 'crew', 'seem', 'regulate', 'seek', 'curve', 'seminar', 'relatively', 'cage', 'abroad', 'strength', 'Christian', 'allegedly', 'concrete', 'thoroughly', 'latter', 'responsible', 'snow', 'casual', 'chest', 'contact', 'educator', 'transmit', 'effectiveness', 'unfair', 'hook', 'quarterback', 'blue', 'nobody', 'lion', 'though', 'object', 'sue', 'landmark', 'regular', 'mouth', 'letter', 'entry', 'phase', 'panic', 'grave', 'singer', 'stupid', 'episode', 'observation', 'professor', 'camp', 'metal', 'dog', 'treaty', 'storm', 'aunt', 'principle', 'deeply', 'voting', 'consumer', 'notion', 'dot', 'reserve', 'incorporate', 'selected', 'bomb', 'inspire', 'ambassador', 'visitor', 'retire', 'anniversary', 'radio', 'participate', 'earth', 'availability', 'European', 'busy', 'proposed', 'spite', 'headline', 'elite', 'explain', 'unemployment', 'myth', 'sugar', 'upstairs', 'theme', 'screening', 'rich', 'integrate', 'announce', 'adequate', 'rice', 'personality', 'do', 'assignment', 'mixture', 'colorful', 'commodity', 'endorse', 'stop', 'perceive', 'coast', 'pocket', 'despite', 'report', 'oak', 'Soviet', 'comply', 'unfortunately', 'hall', 'earn', 'bar', 'noon', 'officially', 'passing', 'method', 'twice', 'bad', 'softly', 'troop', 'isolation', 'release', 'implication', 'steak', 'steal', 'steam', 'secretary', 'respond', 'ethical', 'human', 'fair', 'habit', 'bacteria', 'nut', 'testing', 'reporting', 'Christianity', 'resist', 'result', 'cattle', 'fail', 'simultaneously', 'midst', 'best', 'subject', 'peanut', 'instance', 'capacity', 'guilt', 'lots', 'away', 'sail', 'gentleman', 'artificial', 'dock', 'grandmother', 'mud', 'score', 'finger', 'cooperation', 'hopefully', 'approach', 'discovery', 'preserve', 'wage', 'we', 'terms', 'extend', 'nature', 'confusion', 'lover', 'weak', 'however', 'boss', 'southeast', 'retirement', 'wear', 'extent', 'news', 'debt', 'improve', 'cop', 'protect', 'accident', 'cow', 'country', 'ill', 'cup', 'against', 'pat', 'steer', 'receiver', 'distinction', 'contribution', 'argue', 'old-fashioned', 'negotiation', 'prospect', 'presumably', 'tough', 'royal', 'epidemic', 'height', 'hers', 'written', 'initiative', 'pregnancy', 'trust', 'speak', 'conference', 'bathroom', 'clip', 'beef', 'basis', 'union', 'patch', 'three', 'tiny', 'quickly', 'subsidy', 'commission', 'beer', 'much', 'monkey', 'interest', 'basic', 'privilege', 'flexible', 'lovely', 'Thanksgiving', 'warmth', 'teenager', 'life', 'innocent', 'mushroom', 'eastern', 'concerning', 'dismiss', 'worker', 'wish', 'sprinkle', 'lift', 'alley', 'child', 'catch', 'spin', 'chill', 'physician', 'exception', 'east', 'tank', 'conviction', 'publicly', 'intimate', 'strict', 'resume', 'air', 'aim', 'ugly', 'near', 'conspiracy', 'suppose', 'aid', 'property', 'elaborate', 'procedure', 'mistake', 'seven', 'metropolitan', 'dictate', 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e714c7f5a1729beb41544a4d4ca2bd137c502b43

10,350

py

Python

refresh.py

aruntemme/Covid-19-API

456d986f5e38bf1fc42a6d7943518d2020ef4759

[ "MIT" ]

null

refresh.py

aruntemme/Covid-19-API

456d986f5e38bf1fc42a6d7943518d2020ef4759

[ "MIT" ]

null

refresh.py

aruntemme/Covid-19-API

456d986f5e38bf1fc42a6d7943518d2020ef4759

[ "MIT" ]

null

import pandas as pd import io import requests from country_codes import country_code import json import math import sys import os url_confirmed="https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Confirmed.csv" url_deaths="https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Deaths.csv" url_recovered="https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_19-covid-Recovered.csv" def update(): s=requests.get(url_confirmed).content df_confirmed=pd.read_csv(io.StringIO(s.decode('utf-8'))) s=requests.get(url_deaths).content df_deaths=pd.read_csv(io.StringIO(s.decode('utf-8'))) s=requests.get(url_recovered).content df_recovered=pd.read_csv(io.StringIO(s.decode('utf-8'))) json_data_final = {} json_data_final_countries = {} #json_data_list = [] json_data_final['confirmed'] = {} json_data_final['confirmed']['locations'] = [] json_data_final['deaths'] = {} json_data_final['deaths']['locations'] = [] json_data_final['recovered'] = {} json_data_final['recovered']['locations'] = [] # Confirmed tmp_latest_confirmed = int(df_confirmed.sum(axis=0)[-1]) for index, row in df_confirmed.iterrows(): tmp_element = {} tmp_province = str(row['Province/State']) tmp_country_name = row['Country/Region'] if(tmp_country_name == 'Brunei'): tmp_country_name = 'Brunei Darussalam' elif(tmp_country_name == 'Taiwan*'): tmp_country_name = 'Taiwan, Province of China' elif(tmp_country_name == 'Moldova'): tmp_country_name = 'Moldova, Republic of' elif(tmp_country_name == 'Venezuala'): tmp_country_name = 'Venezuela, Bolivarian Republic of' elif(tmp_country_name == 'Bolivia'): tmp_country_name = 'Bolivia, Plurinational State of' elif(tmp_country_name == 'The Bahamas'): tmp_country_name = 'Bahamas' elif(tmp_country_name == 'Congo (Kinshasa)' or tmp_country_name == 'Congo (Brazzaville)' ): tmp_country_name = 'Congo' elif(tmp_country_name == 'Tanzania'): tmp_country_name = 'Tanzania, United Republic of' elif(tmp_country_name == 'Republic of the Congo'): tmp_country_name = 'Congo, the Democratic Republic of the' elif(tmp_country_name == "Cote d'Ivoire"): tmp_country_name = "Côte d'Ivoire" elif(tmp_country_name == "Holy See"): tmp_country_name = "Holy See (Vatican City State)" elif(tmp_country_name == "occupied Palestinian territory"): tmp_country_name = "Palestine, State of" tmp_country_code = country_code(tmp_country_name) tmp_country_latest = row[-1] tmp_country_position = {} tmp_country_position['latitude'] = row['Lat'] tmp_country_position['longitude'] = row['Long'] tmp_country_history = {} for i in range (4,df_confirmed.shape[1]): tmp_country_history[list(df_confirmed.columns.values)[i]] = row[i] tmp_element['coordinates'] = tmp_country_position tmp_element['country'] = tmp_country_name tmp_element['country_code'] = tmp_country_code tmp_element['history'] = tmp_country_history tmp_element['latest'] = tmp_country_latest tmp_element['province'] = tmp_province json_data_final['confirmed']['locations'].append(tmp_element) ############ json_data_final_countries[tmp_country_code] = {} json_data_final_countries[tmp_country_code]['country'] = {} json_data_final_countries[tmp_country_code]['country']['name'] = tmp_country_name json_data_final_countries[tmp_country_code]['country']['position'] = tmp_country_position json_data_final_countries[tmp_country_code]['confirmed'] = {} json_data_final_countries[tmp_country_code]['confirmed']['history'] = tmp_country_history json_data_final_countries[tmp_country_code]['confirmed']['latest'] = tmp_country_latest ############ json_data_final['confirmed']['latest'] = tmp_latest_confirmed # Deaths tmp_latest_deaths = int(df_deaths.sum(axis=0)[-1]) for index, row in df_deaths.iterrows(): tmp_element = {} tmp_province = str(row['Province/State']) tmp_country_name = row['Country/Region'] if(tmp_country_name == 'Brunei'): tmp_country_name = 'Brunei Darussalam' elif(tmp_country_name == 'Taiwan*'): tmp_country_name = 'Taiwan, Province of China' elif(tmp_country_name == 'Moldova'): tmp_country_name = 'Moldova, Republic of' elif(tmp_country_name == 'Venezuala'): tmp_country_name = 'Venezuela, Bolivarian Republic of' elif(tmp_country_name == 'Bolivia'): tmp_country_name = 'Bolivia, Plurinational State of' elif(tmp_country_name == 'The Bahamas'): tmp_country_name = 'Bahamas' elif(tmp_country_name == 'Congo (Kinshasa)' or tmp_country_name == 'Congo (Brazzaville)' ): tmp_country_name = 'Congo' elif(tmp_country_name == 'Tanzania'): tmp_country_name = 'Tanzania, United Republic of' elif(tmp_country_name == 'Republic of the Congo'): tmp_country_name = 'Congo, the Democratic Republic of the' elif(tmp_country_name == "Cote d'Ivoire"): tmp_country_name = "Côte d'Ivoire" elif(tmp_country_name == "Holy See"): tmp_country_name = "Holy See (Vatican City State)" elif(tmp_country_name == "occupied Palestinian territory"): tmp_country_name = "Palestine, State of" tmp_country_code = country_code(tmp_country_name) tmp_country_latest = row[-1] tmp_country_position = {} tmp_country_position['latitude'] = row['Lat'] tmp_country_position['longitude'] = row['Long'] tmp_country_history = {} for i in range (4,df_deaths.shape[1]): tmp_country_history[list(df_deaths.columns.values)[i]] = row[i] tmp_element['coordinates'] = tmp_country_position tmp_element['country'] = tmp_country_name tmp_element['country_code'] = tmp_country_code tmp_element['history'] = tmp_country_history tmp_element['latest'] = tmp_country_latest tmp_element['province'] = tmp_province json_data_final['deaths']['locations'].append(tmp_element) ############ json_data_final_countries[tmp_country_code]['deaths'] = {} json_data_final_countries[tmp_country_code]['deaths']['history'] = tmp_country_history json_data_final_countries[tmp_country_code]['deaths']['latest'] = tmp_country_latest ############ json_data_final['deaths']['latest'] = tmp_latest_deaths # Recovered tmp_latest_recovered = int(df_recovered.sum(axis=0)[-1]) for index, row in df_recovered.iterrows(): tmp_element = {} tmp_province = str(row['Province/State']) tmp_country_name = row['Country/Region'] if(tmp_country_name == 'Brunei'): tmp_country_name = 'Brunei Darussalam' elif(tmp_country_name == 'Taiwan*'): tmp_country_name = 'Taiwan, Province of China' elif(tmp_country_name == 'Moldova'): tmp_country_name = 'Moldova, Republic of' elif(tmp_country_name == 'Venezuala'): tmp_country_name = 'Venezuela, Bolivarian Republic of' elif(tmp_country_name == 'Bolivia'): tmp_country_name = 'Bolivia, Plurinational State of' elif(tmp_country_name == 'The Bahamas'): tmp_country_name = 'Bahamas' elif(tmp_country_name == 'Congo (Kinshasa)' or tmp_country_name == 'Congo (Brazzaville)' ): tmp_country_name = 'Congo' elif(tmp_country_name == 'Tanzania'): tmp_country_name = 'Tanzania, United Republic of' elif(tmp_country_name == 'Republic of the Congo'): tmp_country_name = 'Congo, the Democratic Republic of the' elif(tmp_country_name == "Cote d'Ivoire"): tmp_country_name = "Côte d'Ivoire" elif(tmp_country_name == "Holy See"): tmp_country_name = "Holy See (Vatican City State)" elif(tmp_country_name == "occupied Palestinian territory"): tmp_country_name = "Palestine, State of" tmp_country_code = country_code(tmp_country_name) tmp_country_latest = row[-1] tmp_country_position = {} tmp_country_position['latitude'] = row['Lat'] tmp_country_position['longitude'] = row['Long'] tmp_country_history = {} for i in range (4,df_recovered.shape[1]): tmp_country_history[list(df_recovered.columns.values)[i]] = row[i] tmp_element['coordinates'] = tmp_country_position tmp_element['country'] = tmp_country_name tmp_element['country_code'] = tmp_country_code tmp_element['history'] = tmp_country_history tmp_element['latest'] = tmp_country_latest tmp_element['province'] = tmp_province json_data_final['recovered']['locations'].append(tmp_element) ############ json_data_final_countries[tmp_country_code]['recovered'] = {} json_data_final_countries[tmp_country_code]['recovered']['history'] = tmp_country_history json_data_final_countries[tmp_country_code]['recovered']['latest'] = tmp_country_latest ############ json_data_final['recovered']['latest'] = tmp_latest_recovered # Latest json_data_final['latest'] = {} json_data_final['latest']['confirmed'] = tmp_latest_confirmed json_data_final['latest']['deaths'] = tmp_latest_deaths json_data_final['latest']['recovered'] = tmp_latest_recovered with open('data.json', 'w') as f: json.dump(json_data_final, f) sys.stdout.flush() print("Data Updated !") with open('dataCountry.json', 'w') as f: json.dump(json_data_final_countries, f) sys.stdout.flush() print("Data Updated !") return 0

41.566265

160

0.655845

1,253

10,350

5.045491

0.098962

0.218285

0.188232

0.093958

0.867131

0.838026

0.797849

0.743277

0.717969

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10,350

248

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0.005348

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0

null

1

0

1

0

null

0

8

e74b42c98acb8ca08270d4b754d984064e8518bd

2,236

py

Python

lotus_predict/rule_entertainment.py

BuiNgocHai/youtube-8m

8aa922b02b81821655f9dbd78a575b732ed27b77

[ "Apache-2.0" ]

null

lotus_predict/rule_entertainment.py

BuiNgocHai/youtube-8m

8aa922b02b81821655f9dbd78a575b732ed27b77

[ "Apache-2.0" ]

null

lotus_predict/rule_entertainment.py

BuiNgocHai/youtube-8m

8aa922b02b81821655f9dbd78a575b732ed27b77

[ "Apache-2.0" ]

null

import pandas as pd labels = pd.read_csv('label_names.csv',sep=",") data = pd.read_csv('solution_115.csv') a = data.LabelConfidencePairs i = 0 for item in a: print(data.VideoId[i]) name_of_class = '' s = item.split() if s[0] == '342' and float(s[1]) > 0.99995: print(labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]]) name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]] elif s[0] == '342' and float(s[1]) > 0.997: if float(s[3]) > 0.01 and s[2] != '0' and s[2] !='1': print(labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]]) name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]] elif float(s[3]) > 0.1: print(labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]]) name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]] else: print(labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]]) name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]] elif s[0] == '342' and float(s[1]) < 0.997: # if s[2] != '0' and s[2] != '1': # print(labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]]) # name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]] # else: # print(labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]]) # name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]] name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[2])].index[0]] else: print(labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]]) name_of_class = labels.label_name[labels.label_id[labels.label_id == int(s[0])].index[0]] if name_of_class != 'News program': data.LabelConfidencePairs[i] = 'Entertainment' else: data.LabelConfidencePairs[i] = name_of_class i+=1 data.to_csv('solution_115_final.csv',index=False)

47.574468

103

0.624776

368

2,236

3.595109

0.130435

0.37415

0.294785

0.238095

0.755858

0.743764

0

0.045379

0.19186

2,236

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104

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0.686774

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null

1

0

1

0

null

0

8

e79b03182d448edaf5425b081a6ad366506beb48

2,856

py

Python

Sholat.py

dizart-y/Jadwal

05583626fa8da299bddd11888751f2fcd6f95913

[ "Apache-2.0" ]

1

2019-07-30T21:42:22.000Z

Sholat.py

dizart-y/Jadwal

05583626fa8da299bddd11888751f2fcd6f95913

[ "Apache-2.0" ]

null

Sholat.py

dizart-y/Jadwal

05583626fa8da299bddd11888751f2fcd6f95913

[ "Apache-2.0" ]

null

#RecodeLah Biar Aku Dapet Uang :v #Recode?Tidak Akan Menjadi Loe Programmer #Recode Harus Ijin Sama Pembuat Script #BelajarLah Menghargai" Orang import marshal,zlib,base64 exec(marshal.loads(zlib.decompress(base64.b16decode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

408

2,682

0.983894

33

2,856

85.151515

0.878788

0

0.571328

0.008403

2,856

6

2,683

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0.047969

0

0.966839

0

1

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1

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true

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0.5

0

0.5

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0

1

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1

0

1

null

1

0

1

0

1

0

11

e7a2cd2685e00d51970bb03558a89891dcc7a439

32,717

py

Python

cluster_pval/tests/test_pvalmod.py

Cluster-Club/Cluster_Pval

613b8a3292a960ac3e7856ff1a5aa90189be0d59

[ "BSD-2-Clause" ]

null

cluster_pval/tests/test_pvalmod.py

Cluster-Club/Cluster_Pval

613b8a3292a960ac3e7856ff1a5aa90189be0d59

[ "BSD-2-Clause" ]

null

cluster_pval/tests/test_pvalmod.py

Cluster-Club/Cluster_Pval

613b8a3292a960ac3e7856ff1a5aa90189be0d59

[ "BSD-2-Clause" ]

1

2022-02-18T17:23:27.000Z

""" Smoke, Edge, and One-Shot Tests for pval module """ import unittest import numpy as np from sklearn.cluster import AgglomerativeClustering from cluster_pval.pval_module.stattests import stattest_clusters_approx from cluster_pval.pval_module.stattests import wald_test class TestPvalModule(unittest.TestCase): """ Unittest class holding tests for pval module Args: None in addition to those inherited from unittest.Testcase Attributes: None in addition to those inherited from unittest.Testcase Functions: test_smoke_gao(self) test_smoke_wald(self) test_penguin_gao_10000(self) test_penguin_wald(self) test_penguin_gao_200(self) test_insig_cells(self) test_sig_cells(self) test_penguin_gao_isoFalse_sigNone_siginvNone_200(self) test_penguin_gao_isoFalse_sigNone_siginvqxqndarray_200(self) test_penguin_gao_isoTrue_sig5_200(self) test_gao_survives0(self) test_gao_ndraws_valueerror(self) test_x(self) test_clusterlabels(self) test_iso_bool(self) test_iso_sig_siginv(self) test_k1k2(self) """ def test_smoke_gao(self): """ simple smoke test to make sure stattest_clusters_approx function runs :return: nothing """ passing = True x = np.array([[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) k = 2 cl_fun = AgglomerativeClustering positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = cl_fun(*positional_arguments, **keyword_arguments) cluster.fit_predict(x) k1 = 0 k2 = 1 stattest_clusters_approx(x, k1, k2, cluster.labels_, cl_fun, positional_arguments, keyword_arguments) self.assertTrue(passing) def test_smoke_wald(self): """ simple smoke test to make sure wald_test function runs :return: nothing """ passing = True x = np.array([[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) k = 2 cl_fun = AgglomerativeClustering positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = cl_fun(*positional_arguments, **keyword_arguments) cluster.fit_predict(x) k1 = 0 k2 = 1 wald_test(x, k1, k2, cluster.labels_) self.assertTrue(passing) def test_penguin_gao_10000(self): """ One-shot test using Penguin data used in R tutorial with ndraws same as shown in R tutorial. :return: nothing so long as function yields same results as when using R stattest_clusters_approx function: stat = 10.11433, stderr ~ .01084133, pval > .5 """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 stat, pval, stderr = stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, ndraws=10000) passing = True assert np.isclose(stat, 10.11433) try: assert np.isclose(stderr, 0.01084133, atol=.001) except AssertionError: passing = False print("stderr is {}, should be within .001 of " "0.01084133".format(stderr)) try: assert pval > .5 except AssertionError: passing = False print("pval is {}, should be > .5".format(pval)) self.assertTrue(passing) def test_penguin_wald(self): """ One-shot test using Penguin data used in R tutorial :return: nothing so long as function yields same results as when using R wald_test function: stat = 10.11433; pval = 0.006226331 """ passing = True penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(*positional_arguments, **keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 stat, pval = wald_test(penguin_data, k1, k2, cluster.labels_) assert np.isclose(stat, 10.11433) assert np.isclose(pval, 0.006226331) self.assertTrue(passing) def test_penguin_gao_200(self): """ One-shot test using Penguin data used in R tutorial with consistent parameters except ndraws=200 (to expedite function running while testing) :return: nothing so long as function yields same results as when using R stattest_clusters_approx function: stat = 10.11433; stderr ~ .07; p > .3 """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 stat, pval, stderr = stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, ndraws=200) passing = True assert np.isclose(stat, 10.11433) try: assert np.isclose(stderr, 0.07, atol=.05) except AssertionError: passing = False print("stderr is {}, should be within .05 of " "0.07".format(stderr)) try: assert pval > .3 except AssertionError: passing = False print("pval is {}, should be >.3".format(pval)) self.assertTrue(passing) def test_insig_cells(self): """ One shot test to see the wald test yield significant results for clustering cells of the same type and the adjusted p value method yield insignificant results :return: Tests pass if functions find same stat values as those calculated using R functions, significant p values for the wald tests, and insignificant p values for the adjusted p value functions. """ insig_cell_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/600tcells.csv', delimiter=',', skip_header=1) k = 3 positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'ward'} insigcluster = AgglomerativeClustering(*positional_arguments, **keyword_arguments) insigcluster.fit_predict(insig_cell_data) # Using same siginv matrix as was used in R package (importing here # instead of recalculating) siginv1 = np.genfromtxt( 'cluster_pval/tests/data_for_tests/SigInv1_600tcells.csv', delimiter=',', skip_header=1) # wald tests negative control stat, pval = wald_test(insig_cell_data, 0, 1, insigcluster.labels_, iso=False, siginv=siginv1) assert np.isclose(stat, 4.054059) and np.isclose(pval, 0) stat, pval = wald_test(insig_cell_data, 0, 2, insigcluster.labels_, iso=False, siginv=siginv1) assert np.isclose(stat, 2.961156) and np.isclose(pval, 9.282575e-13) stat, pval = wald_test(insig_cell_data, 1, 2, insigcluster.labels_, iso=False, siginv=siginv1) assert np.isclose(stat, 4.760857) and np.isclose(pval, 0) # stattest_clusters_approx negative controls stat, pval, stderr = stattest_clusters_approx(insig_cell_data, 0, 1, insigcluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv1, ndraws=200) assert np.isclose(stat, 4.054059) and (pval > .05) and \ (stderr > .05) stat, pval, stderr = stattest_clusters_approx(insig_cell_data, 0, 2, insigcluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv1, ndraws=200) assert np.isclose(stat, 2.961156) and (pval > .05) and \ (stderr > .05) stat, pval, stderr = stattest_clusters_approx(insig_cell_data, 1, 2, insigcluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv1, ndraws=200) assert np.isclose(stat, 4.760857) and (pval > .05) and \ (stderr > .05) def test_sig_cells(self): """ One shot test to see the wald test yield significant results for both cell datasets. :return: nothing so long as function yields same results as when using R wald_test function: """ sig_cell_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests' '/200tcells_200bcells_200memorycells.csv', delimiter=',', skip_header=1) k = 3 positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'ward'} sigcluster = AgglomerativeClustering(*positional_arguments, **keyword_arguments) sigcluster.fit_predict(sig_cell_data) # Using same siginv matrix as was used in R package (importing here # instead of recalculating) siginv1 = np.genfromtxt( 'cluster_pval/tests/data_for_tests/SigInv2_200t_200b_200mem.csv', delimiter=',', skip_header=1) # wald tests negative control stat, pval = wald_test(sig_cell_data, 0, 1, sigcluster.labels_, iso=False, siginv=siginv1) assert np.isclose(stat, 4.274537) and np.isclose(pval, 0) stat, pval = wald_test(sig_cell_data, 0, 2, sigcluster.labels_, iso=False, siginv=siginv1) assert np.isclose(stat, 4.3801) and np.isclose(pval, 0) stat, pval = wald_test(sig_cell_data, 1, 2, sigcluster.labels_, iso=False, siginv=siginv1) assert np.isclose(stat, 3.042581) and np.isclose(pval, 0) # stattest_clusters_approx negative controls stat, pval, stderr = stattest_clusters_approx(sig_cell_data, 0, 1, sigcluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv1, ndraws=200) assert np.isclose(stat, 4.274537) and (pval < .05) stat, pval, stderr = stattest_clusters_approx(sig_cell_data, 0, 2, sigcluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv1, ndraws=200) assert np.isclose(stat, 4.3801) and (pval < .05) stat, pval, stderr = stattest_clusters_approx(sig_cell_data, 1, 2, sigcluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv1, ndraws=200) assert np.isclose(stat, 3.042581) and (pval < .05) def test_penguin_gao_isoFalse_sigNone_siginvNone_200(self): """ One-shot test using Penguin data used in R tutorial with consistent parameters except iso is False, and ndraws=200 (to expedite function running while testing) :return: Nothing so long as function returns same results as when using R stattest_clusters_approx function: stat = 1.223436; stderr ~ .07; p > .3 (with ndraw=200 there can be a lot of variability here) """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 stat, pval, stderr = stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, ndraws=200) passing = True assert np.isclose(stat, 1.223436) try: assert np.isclose(stderr, 0.07, atol=.03) except AssertionError: passing = False print("stderr is {}, should be within .03 of " "0.07".format(stderr)) try: assert pval > .3 except AssertionError: passing = False print("pval is {}, should be greater than .3".format(pval)) self.assertTrue(passing) def test_penguin_gao_isoFalse_sigNone_siginvqxqndarray_200(self): """ One-shot test using Penguin data used in R tutorial with consistent parameters except iso is False, ndraws=200 (to expedite function running while testing), and siginv provided :return: Nothing so long as function gets same results as when using R stattest_clusters_approx function with these parameters: stat = 8.134167; stderr < .009; p < .05 (with ndraw=200 there can be a lot of variability here, these may be a bad stderr and pval thresholds) """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 siginv = np.array([[1, 1], [1, 1]]) stat, pval, stderr = stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=False, siginv=siginv, ndraws=2000) passing = True assert np.isclose(stat, 8.134167) try: assert stderr < .009 except AssertionError: passing = False print("stderr is {}, should be less than " "0.009".format(stderr)) try: assert pval < .05 except AssertionError: passing = False print("pval is {}, should be less than .05".format(pval)) self.assertTrue(passing) def test_penguin_gao_isoTrue_sig5_200(self): """ One-shot test using Penguin data used in R tutorial with consistent parameters except ndraws=200 (to expedite function running while testing), and sig is 5 :return: Nothing so long as function gets same results as when using R stattest_clusters_approx function with these parameters: stat = 10.11433; stderr < .2; p > .1 (with ndraw=200 there can be a lot of variability here, these may be a bad stderr and pval thresholds) """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 stat, pval, stderr = stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, iso=True, sig=5, ndraws=200) passing = True assert np.isclose(stat, 10.11433) try: assert stderr < .2 except AssertionError: passing = False print("stderr is {}, should be less than " "0.2".format(stderr)) try: assert pval > .1 except AssertionError: passing = False print("pval is {}, should be greater than .1".format(pval)) self.assertTrue(passing) def test_gao_survives0(self): """ Edge test to make sure Runtime Error raised if survives == 0 Running same code as test_penguin_gao_200 but ndraws = 1, running until it prompts runtime error :return: Nothing so long as runtime error is raised """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 passing = False for _ in range(100): try: stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, ndraws=1) except RuntimeError: passing = True break self.assertTrue(passing) def test_gao_ndraws_valueerror(self): """ Edge test to make sure ValueError raised if ndraws < 0 Running same code as test_penguin_gao_200 but ndraws = -1 :return: Nothing so long as value error is raised """ penguin_data = np.genfromtxt( 'cluster_pval/tests/data_for_tests/penguin_data_subset.txt', delimiter=' ', skip_header=1) k = 5 # set linkage to average to match R script positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = AgglomerativeClustering(**keyword_arguments) cluster.fit_predict(penguin_data) k1 = 0 k2 = 1 with self.assertRaises(ValueError): stattest_clusters_approx(penguin_data, k1, k2, cluster.labels_, AgglomerativeClustering, positional_arguments, keyword_arguments, ndraws=-1) def test_x(self): """ Edge test to make sure ValueError raised when x is not 2d numpy array Tests first with 3d numpy array, then 1d numpy array, than 2d list, last checks if x contains any nans :return: Nothing so long as value error is raised """ # 3d numpy array x = np.array([[[1, 2], [3, 4]], [[5, 6], [7, 8]]]) k1 = 0 k2 = 1 cluster_labels = np.array([0, 1, 0, 1]) with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster_labels) # 1d numpy array x = np.array([1, 2, 3, 4, 5, 6, 7, 8]) cluster_labels = [0, 1, 0, 1, 0, 1, 0, 1] with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster_labels) # 2d list x = [[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ] cluster_labels = np.array([1, 0, 1, 0, 1, 0, 1, 0, 1, 0]) with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster_labels) # contains nans x = np.array([[5., 3.], [10., 15], [15., 12], [24., 10], [30., 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) x[1, 1] = np.nan with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster_labels) def test_clusterlabels(self): """ Edge test to make sure ValueError raised when cluster_labels is wrong. Checks that ValueError is thrown if cluster_labels is too short, too long, not a numpy ndarray, not one-dimensional, or contains nans, or has fewer than 2 clusters. :return: Nothing so long as value error is raised """ x = np.array([[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) k = 2 cl_fun = AgglomerativeClustering positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = cl_fun(*positional_arguments, **keyword_arguments) cluster.fit_predict(x) k1 = 0 k2 = 1 # cluster_labels too short with self.assertRaises(ValueError): wald_test(x, k1, k2, np.array([1, 0])) # cluster_labels too long with self.assertRaises(ValueError): wald_test(x, k1, k2, np.zeros(100)) # cluster_labels list (not numpy array) with self.assertRaises(ValueError): wald_test(x, k1, k2, [1, 0, 1, 0, 1, 0, 1, 0, 1, 0]) # cluster_labels not one dimensional with self.assertRaises(ValueError): wald_test(x, k1, k2, np.zeros((5, 2))) # cluster_labels contains nan values cluster_labels = np.array([1., 0, 1, 0, 1, 0, 1, 0, 1, 0]) cluster_labels[0] = np.nan with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster_labels) # cluster_labesl not between 2 and n: cluster_labels = np.zeros(10) with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster_labels) def test_iso_bool(self): """ Edge test to make sure ValueError raised when iso isn't boolean :return: Nothing so long as value error is raised """ x = np.array([[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) k = 2 cl_fun = AgglomerativeClustering positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = cl_fun(*positional_arguments, **keyword_arguments) cluster.fit_predict(x) k1 = 0 k2 = 1 with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso="hello") def test_iso_sig_siginv(self): """ Edge test to make sure sig and siginv are correct. Checks to make sure errors thrown if iso = True and siginv != None, if iso = False and sig != None, if sig is not a float or int, and if siginv is not a qxq ndarray. :return: Nothing so long as value error is raised """ x = np.array([[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) k = 2 cl_fun = AgglomerativeClustering positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = cl_fun(*positional_arguments, **keyword_arguments) cluster.fit_predict(x) k1 = 0 k2 = 1 siginv = np.array([[1, 1], [1, 1]]) # iso True siginv not None with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso=True, siginv=siginv) # iso False, sig not None sig = 5 with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso=False, sig=sig) # iso True, siginv None, sig not float or int with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso=True, sig="Hello") # iso False, sig None, siginv 2x2 list thissiginv = [[1, 1], [1, 1]] with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso=False, siginv=thissiginv) # iso False, sig None, siginv 1x1 numpy array (incorrect dimensions) thissiginv = np.array([1, 2]) with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso=False, siginv=thissiginv) # iso False, sig None, siginv 2x2x2 numpy array (incorrect dimensions) thissiginv = np.array([[1, 1, 1], [1, 1, 1]]) with self.assertRaises(ValueError): wald_test(x, k1, k2, cluster.labels_, iso=False, siginv=thissiginv) def test_k1k2(self): """ Edge test to make sure k1 and k2 are ints :return: Nothing so long as value error is raised """ x = np.array([[5, 3], [10, 15], [15, 12], [24, 10], [30, 30], [85, 70], [71, 80], [60, 78], [70, 55], [80, 91], ]) k = 2 cl_fun = AgglomerativeClustering positional_arguments = [] keyword_arguments = {'n_clusters': k, 'affinity': 'euclidean', 'linkage': 'average'} cluster = cl_fun(*positional_arguments, **keyword_arguments) cluster.fit_predict(x) k1 = "hello" k2 = True # k1 not an int with self.assertRaises(ValueError): stattest_clusters_approx(x, k1, 2, cluster.labels_, cl_fun, positional_arguments, keyword_arguments) # k2 not an int with self.assertRaises(ValueError): stattest_clusters_approx(x, 1, k2, cluster.labels_, cl_fun, positional_arguments, keyword_arguments) k1 = -1 k2 = 2 # k1 not between 0 and k-1 with self.assertRaises(ValueError): stattest_clusters_approx(x, k1, 1, cluster.labels_, cl_fun, positional_arguments, keyword_arguments) # k2 not between 0 and k-1 with self.assertRaises(ValueError): stattest_clusters_approx(x, 0, k2, cluster.labels_, cl_fun, positional_arguments, keyword_arguments)

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68ee0db09e18a9c6eb2ad4fe9c088d207ec2b474

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Python

tests/test_predict.py

wellcometrust/grants_tagger

b0701a0752d6196bf9aa64958843029390c82ef4

[ "MIT" ]

2

2021-06-15T10:20:01.000Z

2022-02-23T16:13:42.000Z

tests/test_predict.py

wellcometrust/grants_tagger

b0701a0752d6196bf9aa64958843029390c82ef4

[ "MIT" ]

168

2020-07-01T10:06:36.000Z

2022-03-31T13:47:42.000Z

tests/test_predict.py

wellcometrust/grants_tagger

b0701a0752d6196bf9aa64958843029390c82ef4

[ "MIT" ]

null

from unittest.mock import patch import tempfile import shutil import pickle import json import os import numpy as np import pytest from grants_tagger.train import create_label_binarizer, train_and_evaluate from grants_tagger.predict import predict_tags, predict X = [ "all", "one two", "two", "four", "twenty four" ] Y = [ [str(i) for i in range(24)], ["1", "2"], ["2"], ["4"], ["23"] ] Y_mesh = [ [str(i) for i in range(5000)], ["1", "2"], ["2"], ["200"], ["1000"] ] def create_data(X, Y, data_path): with open(data_path, "w") as f: for x, y in zip(X, Y): f.write(json.dumps({"text": x, "tags": y, "meta": {}})) f.write("\n") @pytest.fixture def tfidf_svm_path(tmp_path): data_path = os.path.join(tmp_path, "data.jsonl") create_data(X, Y, data_path) label_binarizer_path = os.path.join(tmp_path, "label_binarizer.pkl") label_binarizer = create_label_binarizer(data_path, label_binarizer_path) # TODO: Replace approach with science-ensemble when fit implemented tfidf_svm_path = os.path.join(tmp_path, "tfidf-svm.pkl") parameters = { 'tfidf__min_df': 1, 'tfidf__stop_words': None } train_and_evaluate(data_path, label_binarizer_path, approach="tfidf-svm", model_path=tfidf_svm_path, parameters=str(parameters), verbose=False) return tfidf_svm_path @pytest.fixture def scibert_path(tmp_path): data_path = os.path.join(tmp_path, "data.jsonl") create_data(X, Y, data_path) label_binarizer_path = os.path.join(tmp_path, "label_binarizer.pkl") label_binarizer = create_label_binarizer(data_path, label_binarizer_path) scibert_path = os.path.join(tmp_path, "scibert") parameters = {"epochs": 1} train_and_evaluate(data_path, label_binarizer_path, approach="scibert", model_path=scibert_path, parameters=str(parameters), verbose=False) return scibert_path @pytest.fixture def science_ensemble_path(tfidf_svm_path, scibert_path): science_ensemble_path = f"{tfidf_svm_path},{scibert_path}" return science_ensemble_path @pytest.fixture def mesh_tfidf_svm_path(tmp_path): mesh_data_path = os.path.join(tmp_path, "mesh_data.jsonl") create_data(X, Y_mesh, mesh_data_path) label_binarizer_path = os.path.join(tmp_path, "label_binarizer.pkl") model_path = os.path.join(tmp_path, "mesh_tfidf_svm") parameters = { 'tfidf__min_df': 1, 'tfidf__stop_words': None, 'svm__estimator__loss': 'log', 'model_path': model_path } train_and_evaluate(mesh_data_path, label_binarizer_path, approach="mesh-tfidf-svm", model_path=model_path, parameters=str(parameters), sparse_labels=True, verbose=False) return model_path @pytest.fixture def mesh_cnn_path(tmp_path): mesh_data_path = os.path.join(tmp_path, "mesh_data.jsonl") create_data(X, Y_mesh, mesh_data_path) label_binarizer_path = os.path.join(tmp_path, "label_binarizer.pkl") model_path = os.path.join(tmp_path, "mesh_cnn") train_and_evaluate(mesh_data_path, label_binarizer_path, approach="mesh-cnn", model_path=model_path, sparse_labels=True, verbose=False) return model_path @pytest.fixture def label_binarizer_path(tmp_path): data_path = os.path.join(tmp_path, "mesh_data.jsonl") create_data(X, Y, data_path) label_binarizer_path = os.path.join(tmp_path, "label_binarizer.pkl") create_label_binarizer(data_path, label_binarizer_path) return label_binarizer_path @pytest.fixture def mesh_label_binarizer_path(tmp_path): mesh_data_path = os.path.join(tmp_path, "mesh_data.jsonl") create_data(X, Y_mesh, mesh_data_path) mesh_label_binarizer_path = os.path.join(tmp_path, "mesh_label_binarizer.pkl") create_label_binarizer(mesh_data_path, mesh_label_binarizer_path) return mesh_label_binarizer_path def test_predict_tags_tfidf_svm(tfidf_svm_path, label_binarizer_path): tags = predict_tags( X, model_path=tfidf_svm_path, label_binarizer_path=label_binarizer_path, approach="tfidf-svm") assert len(tags) == 5 tags = predict_tags( X, model_path=tfidf_svm_path, label_binarizer_path=label_binarizer_path, approach="tfidf-svm", probabilities=True) for tags_ in tags: for tag, prob in tags_.items(): assert 0 <= prob <= 1.0 tags = predict_tags( X, model_path=tfidf_svm_path, label_binarizer_path=label_binarizer_path, approach="tfidf-svm", threshold=0) for tags_ in tags: assert len(tags_) == 24 tags = predict_tags( X, model_path=tfidf_svm_path, label_binarizer_path=label_binarizer_path, approach="tfidf-svm", threshold=1) for tags_ in tags: assert len(tags_) == 0 def test_predict_tags_scibert(scibert_path, label_binarizer_path): tags = predict_tags( X, model_path=scibert_path, label_binarizer_path=label_binarizer_path, approach="scibert") assert len(tags) == 5 tags = predict_tags( X, model_path=scibert_path, label_binarizer_path=label_binarizer_path, approach="scibert", probabilities=True) for tags_ in tags: for tag, prob in tags_.items(): assert 0 <= prob <= 1.0 tags = predict_tags( X, model_path=scibert_path, label_binarizer_path=label_binarizer_path, approach="scibert", threshold=0) for tags_ in tags: assert len(tags_) == 24 tags = predict_tags( X, model_path=scibert_path, label_binarizer_path=label_binarizer_path, approach="scibert", threshold=1) for tags_ in tags: assert len(tags_) == 0 def test_predict_tags_science_ensemble(science_ensemble_path, label_binarizer_path): tags = predict_tags( X, model_path=science_ensemble_path, label_binarizer_path=label_binarizer_path, approach="science-ensemble") assert len(tags) == 5 tags = predict_tags( X, model_path=science_ensemble_path, label_binarizer_path=label_binarizer_path, approach="science-ensemble", probabilities=True) for tags_ in tags: for tag, prob in tags_.items(): assert 0 <= prob <= 1.0 tags = predict_tags( X, model_path=science_ensemble_path, label_binarizer_path=label_binarizer_path, approach="science-ensemble", threshold=0) for tags_ in tags: assert len(tags_) == 24 tags = predict_tags( X, model_path=science_ensemble_path, label_binarizer_path=label_binarizer_path, approach="science-ensemble", threshold=1) for tags_ in tags: assert len(tags_) == 0 def test_predict_tags_mesh_tfidf_svm(mesh_tfidf_svm_path, mesh_label_binarizer_path): tags = predict_tags( X, mesh_tfidf_svm_path, mesh_label_binarizer_path, approach="mesh-tfidf-svm") assert len(tags) == 5 tags = predict_tags( X, mesh_tfidf_svm_path, mesh_label_binarizer_path, approach="mesh-tfidf-svm", probabilities=True) for tags_ in tags: for tag, prob in tags_.items(): assert 0 <= prob <= 1.0 tags = predict_tags( X, mesh_tfidf_svm_path, mesh_label_binarizer_path, approach="mesh-tfidf-svm", threshold=0) for tags_ in tags: assert len(tags_) == 5000 tags = predict_tags( X, mesh_tfidf_svm_path, mesh_label_binarizer_path, approach="mesh-tfidf-svm", threshold=1) for tags_ in tags: assert len(tags_) == 0 def test_predict_tags_mesh_cnn(mesh_cnn_path, mesh_label_binarizer_path): tags = predict_tags( X, mesh_cnn_path, mesh_label_binarizer_path, approach="mesh-cnn") assert len(tags) == 5 tags = predict_tags( X, mesh_cnn_path, mesh_label_binarizer_path, approach="mesh-cnn", probabilities=True) for tags_ in tags: for tag, prob in tags_.items(): assert 0 <= prob <= 1.0 tags = predict_tags( X, mesh_cnn_path, mesh_label_binarizer_path, approach="mesh-cnn", threshold=0) for tags_ in tags: assert len(tags_) == 5000 tags = predict_tags( X, mesh_cnn_path, mesh_label_binarizer_path, approach="mesh-cnn", threshold=1) for tags_ in tags: assert len(tags_) == 0

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68f00cf893cf0a076516eb2e764fd4a409554117

108

py

Python

pwnlib/adb/__init__.py

cclauss/pwntools

899baec7048559db65a2e9ad784be4cb60c181da

[ "MIT" ]

7

2017-07-11T01:12:02.000Z

2017-09-21T23:39:54.000Z

pwnlib/adb/__init__.py

cclauss/pwntools

899baec7048559db65a2e9ad784be4cb60c181da

[ "MIT" ]

null

pwnlib/adb/__init__.py

cclauss/pwntools

899baec7048559db65a2e9ad784be4cb60c181da

[ "MIT" ]

3

2018-03-21T11:48:05.000Z

2021-10-16T15:38:01.000Z

from __future__ import absolute_import from pwnlib.adb.adb import * from pwnlib.adb.protocol import Client

21.6

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8

ec2c3a7c346dec7cc17d8f94980003f60cc33822

358

py

Python

textformer/models/decoders/__init__.py

gugarosa/textformer

cccc670d48995fa0bfbdf9fc8013d13a90ea5e84

[ "Apache-2.0" ]

3

2020-07-26T03:51:56.000Z

2020-10-04T18:42:18.000Z

textformer/models/decoders/__init__.py

gugarosa/textformer

cccc670d48995fa0bfbdf9fc8013d13a90ea5e84

[ "Apache-2.0" ]

null

textformer/models/decoders/__init__.py

gugarosa/textformer

cccc670d48995fa0bfbdf9fc8013d13a90ea5e84

[ "Apache-2.0" ]

null

"""A package for already-implemented decoder models. """ from textformer.models.decoders.bi_gru import BiGRUDecoder from textformer.models.decoders.conv import ConvDecoder from textformer.models.decoders.gru import GRUDecoder from textformer.models.decoders.lstm import LSTMDecoder from textformer.models.decoders.self_attention import SelfAttentionDecoder

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ec45f9d83d7e663054f1e8200ae4b95ce5230ed6

5,587

py

Python

argopy/tests/test_fetchers_index_erddap.py

mnichol3/argopy

ca33bc266b2df71f4e4d7524980909262648e265

[ "Apache-2.0" ]

111

2020-03-20T12:04:21.000Z

2022-03-30T10:33:50.000Z

argopy/tests/test_fetchers_index_erddap.py

mnichol3/argopy

ca33bc266b2df71f4e4d7524980909262648e265

[ "Apache-2.0" ]

123

2020-03-18T08:42:30.000Z

2022-03-31T10:50:34.000Z

argopy/tests/test_fetchers_index_erddap.py

mnichol3/argopy

ca33bc266b2df71f4e4d7524980909262648e265

[ "Apache-2.0" ]

31

2020-03-21T23:34:59.000Z

2022-03-24T15:14:56.000Z

import pandas as pd import pytest import tempfile import argopy from argopy import IndexFetcher as ArgoIndexFetcher from argopy.errors import ( FileSystemHasNoCache, CacheFileNotFound ) from . import requires_connected_erddap_index, safe_to_server_errors, ci_erddap_index ERDDAP_TIMEOUT = 3 * 60 safe_to_no_cache = pytest.mark.skipif(True, reason="Cache disabled for erddap index fetcher") @ci_erddap_index @requires_connected_erddap_index class Test_Backend_WMO: """ Test ERDDAP index fetching backend for WMO access point""" # caplog.set_level(logging.DEBUG) src = "erddap" requests = { "float": [[2901623], [2901623, 6901929]] } def test_nocache(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir): fetcher = ArgoIndexFetcher(src=self.src, cache=False).float(self.requests['float'][0]).fetcher with pytest.raises(FileSystemHasNoCache): fetcher.cachepath @safe_to_no_cache def test_cachepath_notfound(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir): fetcher = ArgoIndexFetcher(src=self.src, cache=True).float(self.requests['float'][0]).fetcher with pytest.raises(CacheFileNotFound): fetcher.cachepath @safe_to_no_cache @safe_to_server_errors def test_cached(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir, api_timeout=ERDDAP_TIMEOUT): fetcher = ArgoIndexFetcher(src=self.src, cache=True).float(self.requests['float'][0]).fetcher df = fetcher.to_dataframe() assert isinstance(df, pd.core.frame.DataFrame) assert isinstance(fetcher.cachepath, str) @safe_to_no_cache @safe_to_server_errors def test_clearcache(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir, api_timeout=ERDDAP_TIMEOUT): fetcher = ArgoIndexFetcher(src=self.src, cache=True).float(self.requests['float'][0]).fetcher fetcher.to_dataframe() fetcher.clear_cache() with pytest.raises(CacheFileNotFound): fetcher.cachepath def test_url(self): for arg in self.requests["float"]: fetcher = ArgoIndexFetcher(src=self.src).float(arg).fetcher assert isinstance(fetcher.url, str) @safe_to_server_errors def test_phy_float(self): for arg in self.requests["float"]: with argopy.set_options(api_timeout=ERDDAP_TIMEOUT): fetcher = ArgoIndexFetcher(src=self.src).float(arg).fetcher df = fetcher.to_dataframe() assert isinstance(df, pd.core.frame.DataFrame) @ci_erddap_index @requires_connected_erddap_index class Test_Backend_BOX: """ Test ERDDAP index fetching backend for the BOX access point """ src = "erddap" requests = { "region": [ [-60, -50, 40.0, 50.0], [-60, -55, 40.0, 45.0, "2007-08-01", "2007-09-01"], ], } def test_nocache(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir): fetcher = ArgoIndexFetcher(src=self.src, cache=False).region(self.requests['region'][-1]).fetcher with pytest.raises(FileSystemHasNoCache): fetcher.cachepath @safe_to_no_cache def test_cachepath_notfound(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir): fetcher = ArgoIndexFetcher(src=self.src, cache=True).region(self.requests['region'][-1]).fetcher with pytest.raises(CacheFileNotFound): fetcher.cachepath @safe_to_no_cache @safe_to_server_errors def test_cached(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir, api_timeout=ERDDAP_TIMEOUT): fetcher = ArgoIndexFetcher(src=self.src, cache=True).region(self.requests['region'][-1]).fetcher df = fetcher.to_dataframe() assert isinstance(df, pd.core.frame.DataFrame) assert isinstance(fetcher.cachepath, str) @safe_to_no_cache @safe_to_server_errors def test_clearcache(self): with tempfile.TemporaryDirectory() as testcachedir: with argopy.set_options(cachedir=testcachedir, api_timeout=ERDDAP_TIMEOUT): fetcher = ArgoIndexFetcher(src=self.src, cache=True).region(self.requests['region'][-1]).fetcher fetcher.to_dataframe() fetcher.clear_cache() with pytest.raises(CacheFileNotFound): fetcher.cachepath def test_url(self): for arg in self.requests["region"]: fetcher = ArgoIndexFetcher(src=self.src).region(arg).fetcher assert isinstance(fetcher.url, str) @safe_to_server_errors def test_phy_region(self): for arg in self.requests["region"]: with argopy.set_options(api_timeout=ERDDAP_TIMEOUT): fetcher = ArgoIndexFetcher(src=self.src).region(arg).fetcher df = fetcher.to_dataframe() assert isinstance(df, pd.core.frame.DataFrame)

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6b61f4bd320ff6c2e27fdb506a192f9b4e756e8b

211,057

py

Python

spacy/lang/pl/tag_map.py

tdzienniak/spaCy

2791ce96dcf276b4bfe0a0a05ce1474abfd0783d

[ "MIT" ]

null

spacy/lang/pl/tag_map.py

tdzienniak/spaCy

2791ce96dcf276b4bfe0a0a05ce1474abfd0783d

[ "MIT" ]

null

spacy/lang/pl/tag_map.py

tdzienniak/spaCy

2791ce96dcf276b4bfe0a0a05ce1474abfd0783d

[ "MIT" ]

null

from ...symbols import POS, PUNCT, SYM, ADJ, CCONJ, NUM, DET, ADV, ADP, X, VERB from ...symbols import NOUN, PROPN, PART, INTJ, SPACE, PRON, SCONJ TAG_MAP = { "num:pl:acc:m3:congr__Case=Acc|Gender=Masc|Number=Plur|NumType=Card|SubGender=Masc3": {POS: NUM, "Case": "Acc", "Gender": "Masc", "Number": "Plur", "NumType": "Card"}, "subst:pl:acc:m3__Case=Acc|Gender=Masc|Number=Plur|SubGender=Masc3": {POS: NOUN, "Case": "Acc", "Gender": "Masc", "Number": "Plur"}, "praet:pl:m3:perf__Aspect=Perf|Gender=Masc|Mood=Ind|Number=Plur|SubGender=Masc3|Tense=Past|VerbForm=Fin|Voice=Act": {POS: VERB, "Aspect": "Perf", "Gender": "Masc", "Mood": "Ind", "Number": "Plur", "Tense": "Past", "VerbForm": "Fin", "Voice": "Act"}, "qub__PronType=Prs|Reflex=Yes": {POS: PRON, "PronType": "Prs", "Reflex": "Yes"}, "num:pl:nom:m3:congr__Case=Nom|Gender=Masc|Number=Plur|NumType=Card|SubGender=Masc3": {POS: NUM, "Case": "Nom", "Gender": "Masc", "Number": "Plur", "NumType": "Card"}, "adj:pl:nom:m3:pos__Case=Nom|Degree=Pos|Gender=Masc|Number=Plur|SubGender=Masc3": {POS: ADJ, "Case": "Nom", "Degree": "Pos", "Gender": "Masc", "Number": "Plur"}, "subst:pl:nom:m3__Case=Nom|Gender=Masc|Number=Plur|SubGender=Masc3": {POS: NOUN, "Case": "Nom", "Gender": "Masc", "Number": "Plur"}, "interp__PunctType=Peri": {POS: PUNCT, "PunctType": "Peri"}, "interp__PunctType=Dash": {POS: PUNCT, "PunctType": "Dash"}, "conj___": {POS: CCONJ}, "subst:sg:acc:n__Case=Acc|Gender=Neut|Number=Sing|PronType=Int": {POS: NOUN, "Case": "Acc", "Gender": "Neut", "Number": "Sing", "PronType": "Int"}, "fin:sg:pri:imperf__Aspect=Imp|Mood=Ind|Number=Sing|Person=1|Tense=Pres|VerbForm=Fin|Voice=Act": {POS: VERB, "Aspect": "Imp", "Mood": "Ind", "Number": "Sing", "Person": "1", "Tense": "Pres", "VerbForm": "Fin", "Voice": "Act"}, "interp__PunctType=Qest": {POS: PUNCT, "PunctType": "Qest"}, "adv__PronType=Int": {POS: ADV, "PronType": "Int"}, "praet:sg:m2:imperf__Aspect=Imp|Gender=Masc|Mood=Ind|Number=Sing|SubGender=Masc2|Tense=Past|VerbForm=Fin|Voice=Act": {POS: VERB, "Aspect": "Imp", "Gender": "Masc", "Mood": "Ind", "Number": "Sing", "Tense": "Past", "VerbForm": "Fin", "Voice": "Act"}, "inf:perf__Aspect=Perf|VerbForm=Inf|Voice=Act": {POS: VERB, "Aspect": "Perf", "VerbForm": "Inf", "Voice": "Act"}, "fin:sg:ter:imperf__Aspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin|Voice=Act": {POS: VERB, "Aspect": "Imp", "Mood": "Ind", "Number": "Sing", "Person": "3", "Tense": "Pres", "VerbForm": "Fin", "Voice": "Act"}, "adv:pos__Degree=Pos|PronType=Int": {POS: ADV, "Degree": "Pos", "PronType": "Int"}, "fin:sg:sec:imperf__Aspect=Imp|Mood=Ind|Number=Sing|Person=2|Tense=Pres|VerbForm=Fin|Voice=Act": {POS: VERB, "Aspect": "Imp", "Mood": "Ind", "Number": "Sing", "Person": "2", "Tense": "Pres", "VerbForm": "Fin", "Voice": "Act"}, "subst:sg:nom:m1__Case=Nom|Gender=Masc|Number=Sing|SubGender=Masc1": {POS: NOUN, "Case": "Nom", "Gender": "Masc", "Number": "Sing"}, "adv___": {POS: ADV}, "praet:sg:m1:imperf__Aspect=Imp|Gender=Masc|Mood=Ind|Number=Sing|SubGender=Masc1|Tense=Past|VerbForm=Fin|Voice=Act": {POS: VERB, "Aspect": "Imp", "Gender": "Masc", "Mood": "Ind", "Number": "Sing", "Tense": "Past", "VerbForm": "Fin", "Voice": "Act"}, "prep:loc:nwok__AdpType=Prep|Variant=Short": {POS: ADP, "AdpType": "Prep", "Variant": "Short"}, "adj:sg:loc:m3:pos__Case=Loc|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|SubGender=Masc3": {POS: ADJ, "Case": "Loc", "Gender": "Masc", "Number": "Sing", "Poss": "Yes", "PronType": "Prs", "Reflex": "Yes"}, "subst:sg:loc:m3__Case=Loc|Gender=Masc|Number=Sing|SubGender=Masc3": {POS: NOUN, "Case": "Loc", "Gender": "Masc", "Number": "Sing"}, "qub___": {POS: PRON}, "aglt:sg:pri:imperf:wok__Aspect=Imp|Number=Sing|Person=1|Variant=Long": {POS: VERB, "Aspect": "Imp", "Number": "Sing", "Person": "1", "Variant": "Long"}, "prep:acc__AdpType=Prep": {POS: ADP, "AdpType": "Prep"}, "subst:sg:acc:n__Case=Acc|Gender=Neut|Number=Sing": {POS: NOUN, "Case": "Acc", "Gender": "Neut", "Number": "Sing"}, "interp__PunctType=Comm": {POS: PUNCT, "PunctType": "Comm"}, "pred__Mood=Ind|Tense=Pres|VerbForm=Fin|VerbType=Quasi": {POS: VERB, "Mood": "Ind", "Tense": "Pres", "VerbForm": "Fin", "VerbType": "Quasi"}, "fin:sg:ter:imperf__Aspect=Imp|Mood=Ind|Number=Sing|Person=3|Tense=Pres|VerbForm=Fin": {POS: VERB, "Aspect": "Imp", "Mood": "Ind", "Number": "Sing", "Person": "3", "Tense": "Pres", "VerbForm": "Fin"}, "adj:sg:nom:f:pos__Case=Nom|Gender=Fem|Number=Sing|PronType=Dem": {POS: ADJ, "Case": "Nom", "Gender": "Fem", "Number": "Sing", "PronType": "Dem"}, "adj:sg:nom:f:pos__Case=Nom|Degree=Pos|Gender=Fem|Number=Sing": {POS: ADJ, "Case": "Nom", "Degree": "Pos", "Gender": "Fem", "Number": "Sing"}, "subst:sg:nom:f__Case=Nom|Gender=Fem|Number=Sing": {POS: NOUN, "Case": "Nom", "Gender": "Fem", "Number": "Sing"}, "subst:sg:nom:m1__Case=Nom|Gender=Masc|Number=Sing|PronType=Int|SubGender=Masc1": {POS: NOUN, "Case": "Nom", "Gender": "Masc", "Number": "Sing", "PronType": "Int"}, "ppron3:sg:acc:m1:ter:nakc:npraep__Case=Acc|Gender=Masc|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs|SubGender=Masc1|Variant=Short": {POS: PRON, "Case": "Acc", "Gender": "Masc", "Number": "Sing", "Person": "3", "PronType": "Prs", "Variant": "Short"}, "adv__PronType=Dem": {POS: ADV, "PronType": "Dem"}, "ppron3:sg:dat:m2:ter:akc:npraep__Case=Dat|Gender=Masc|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs|SubGender=Masc2|Variant=Long": {POS: PRON, "Case": "Dat", "Gender": "Masc", "Number": "Sing", "Person": "3", "PronType": "Prs", "Variant": "Long"}, "subst:sg:gen:f__Case=Gen|Gender=Fem|Number=Sing": {POS: NOUN, "Case": "Gen", "Gender": "Fem", "Number": "Sing"}, "pant:perf__Aspect=Perf|Tense=Past|VerbForm=Conv|Voice=Act": {POS: VERB, "Aspect": "Perf", "Tense": "Past", "VerbForm": "Conv", "Voice": "Act"}, 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"Pos", "VerbForm": "Part", "Voice": "Act"}, "num:pl:loc:m1:congr__Case=Loc|Gender=Masc|Number=Plur|NumType=Card|SubGender=Masc1": {POS: NUM, "Case": "Loc", "Gender": "Masc", "Number": "Plur", "NumType": "Card"}, "adj:pl:loc:m1:pos__Case=Loc|Gender=Masc|Number=Plur|PronType=Dem|SubGender=Masc1": {POS: ADJ, "Case": "Loc", "Gender": "Masc", "Number": "Plur", "PronType": "Dem"}, "pact:sg:inst:f:imperf:neg__Aspect=Imp|Case=Ins|Gender=Fem|Number=Sing|Polarity=Neg|VerbForm=Part|Voice=Act": {POS: VERB, "Aspect": "Imp", "Case": "Ins", "Gender": "Fem", "Number": "Sing", "Polarity": "Neg", "VerbForm": "Part", "Voice": "Act"}, "adj:sg:acc:m3:pos__Case=Acc|Gender=Masc|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs|SubGender=Masc3": {POS: ADJ, "Case": "Acc", "Gender": "Masc", "Number": "Sing", "Person": "2", "Poss": "Yes", "PronType": "Prs"}, "adj:pl:gen:m3:com__Case=Gen|Degree=Cmp|Gender=Masc|Number=Plur|SubGender=Masc3": {POS: ADJ, "Case": "Gen", "Degree": "Cmp", "Gender": "Masc", 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"adj:pl:dat:m1:pos__Case=Dat|Gender=Masc|Number=Plur|PronType=Rel|SubGender=Masc1": {POS: ADJ, "Case": "Dat", "Gender": "Masc", "Number": "Plur", "PronType": "Rel"}, "num:pl:loc:f:congr__Case=Loc|Gender=Fem|Number=Plur|NumType=Card|PronType=Dem": {POS: NUM, "Case": "Loc", "Gender": "Fem", "Number": "Plur", "NumType": "Card", "PronType": "Dem"}, "pact:pl:gen:m2:imperf:aff__Aspect=Imp|Case=Gen|Gender=Masc|Number=Plur|Polarity=Pos|SubGender=Masc2|VerbForm=Part|Voice=Act": {POS: VERB, "Aspect": "Imp", "Case": "Gen", "Gender": "Masc", "Number": "Plur", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Act"}, "num:pl:dat:n:congr__Case=Dat|Gender=Neut|Number=Plur|NumType=Card|PronType=Ind": {POS: NUM, "Case": "Dat", "Gender": "Neut", "Number": "Plur", "NumType": "Card", "PronType": "Ind"}, "adj:pl:gen:m2:pos__Case=Gen|Gender=Masc|Number=Plur|PronType=Dem|SubGender=Masc2": {POS: ADJ, "Case": "Gen", "Gender": "Masc", "Number": "Plur", "PronType": "Dem"}, "subst:pl:loc:m2__Case=Loc|Gender=Masc|Number=Plur|SubGender=Masc2": {POS: NOUN, "Case": "Loc", "Gender": "Masc", "Number": "Plur"}, "adj:sg:gen:m1:pos__Case=Gen|Gender=Masc|Number=Sing|PronType=Rel|SubGender=Masc1": {POS: ADJ, "Case": "Gen", "Gender": "Masc", "Number": "Sing", "PronType": "Rel"}, "pact:sg:nom:m2:imperf:aff__Aspect=Imp|Case=Nom|Gender=Masc|Number=Sing|Polarity=Pos|SubGender=Masc2|VerbForm=Part|Voice=Act": {POS: VERB, "Aspect": "Imp", "Case": "Nom", "Gender": "Masc", "Number": "Sing", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Act"}, "ppas:pl:acc:m3:perf:neg__Aspect=Perf|Case=Acc|Gender=Masc|Number=Plur|Polarity=Neg|SubGender=Masc3|VerbForm=Part|Voice=Pass": {POS: VERB, "Aspect": "Perf", "Case": "Acc", "Gender": "Masc", "Number": "Plur", "Polarity": "Neg", "VerbForm": "Part", "Voice": "Pass"}, "ppron12:sg:acc:m3:pri:akc__Case=Acc|Gender=Masc|Number=Sing|Person=1|PronType=Prs|SubGender=Masc3|Variant=Long": {POS: PRON, "Case": "Acc", "Gender": "Masc", "Number": "Sing", "Person": "1", "PronType": "Prs", "Variant": "Long"}, "adj:sg:gen:m1:pos__Case=Gen|Gender=Masc|Number=Sing|PronType=Ind|SubGender=Masc1": {POS: ADJ, "Case": "Gen", "Gender": "Masc", "Number": "Sing", "PronType": "Ind"}, "pact:pl:loc:m3:imperf:aff__Aspect=Imp|Case=Loc|Gender=Masc|Number=Plur|Polarity=Pos|SubGender=Masc3|VerbForm=Part|Voice=Act": {POS: VERB, "Aspect": "Imp", "Case": "Loc", "Gender": "Masc", "Number": "Plur", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Act"}, "pact:sg:loc:m1:imperf:aff__Aspect=Imp|Case=Loc|Gender=Masc|Number=Sing|Polarity=Pos|SubGender=Masc1|VerbForm=Part|Voice=Act": {POS: VERB, "Aspect": "Imp", "Case": "Loc", "Gender": "Masc", "Number": "Sing", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Act"}, "ppas:pl:dat:f:perf:aff__Aspect=Perf|Case=Dat|Gender=Fem|Number=Plur|Polarity=Pos|VerbForm=Part|Voice=Pass": {POS: VERB, "Aspect": "Perf", "Case": "Dat", "Gender": "Fem", "Number": "Plur", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Pass"}, "ppas:pl:dat:f:imperf:aff__Aspect=Imp|Case=Dat|Gender=Fem|Number=Plur|Polarity=Pos|VerbForm=Part|Voice=Pass": {POS: VERB, "Aspect": "Imp", "Case": "Dat", "Gender": "Fem", "Number": "Plur", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Pass"}, "ppron3:sg:inst:f:ter:akc:npraep__Case=Ins|Gender=Fem|Number=Sing|Person=3|PrepCase=Npr|PronType=Prs|Variant=Long": {POS: PRON, "Case": "Ins", "Gender": "Fem", "Number": "Sing", "Person": "3", "PronType": "Prs", "Variant": "Long"}, "num:pl:inst:f:congr__Case=Ins|Gender=Fem|Number=Plur|NumType=Card|PronType=Ind": {POS: NUM, "Case": "Ins", "Gender": "Fem", "Number": "Plur", "NumType": "Card", "PronType": "Ind"}, "adj:sg:inst:f:pos__Case=Ins|Emphatic=Yes|Gender=Fem|Number=Sing|PronType=Dem": {POS: ADJ, "Case": "Ins", "Gender": "Fem", "Number": "Sing", "PronType": "Dem"}, "adj:pl:inst:m2:pos__Case=Ins|Gender=Masc|Number=Plur|PronType=Tot|SubGender=Masc2": {POS: ADJ, "Case": "Ins", "Gender": "Masc", "Number": "Plur", "PronType": "Tot"}, "ppas:pl:acc:m1:perf:aff__Aspect=Perf|Case=Acc|Gender=Masc|Number=Plur|Polarity=Pos|SubGender=Masc1|VerbForm=Part|Voice=Pass": {POS: VERB, "Aspect": "Perf", "Case": "Acc", "Gender": "Masc", "Number": "Plur", "Polarity": "Pos", "VerbForm": "Part", "Voice": "Pass"}, "adj:pl:inst:f:pos__Case=Ins|Gender=Fem|Number=Plur|PronType=Ind": {POS: ADJ, "Case": "Ins", "Gender": "Fem", "Number": "Plur", "PronType": "Ind"}, "adj:sg:inst:n:pos__Case=Ins|Gender=Neut|Number=Sing|PronType=Ind": {POS: ADJ, "Case": "Ins", "Gender": "Neut", "Number": "Sing", "PronType": "Ind"}, "adj:sg:acc:m2:pos__Case=Acc|Gender=Masc|Number=Sing|PronType=Int|SubGender=Masc2": {POS: ADJ, "Case": "Acc", "Gender": "Masc", "Number": "Sing", "PronType": "Int"}, "adj:sg:inst:m1:pos__Case=Ins|Gender=Masc|Number=Sing|Poss=Yes|PronType=Prs|Reflex=Yes|SubGender=Masc1": {POS: ADJ, "Case": "Ins", "Gender": "Masc", "Number": "Sing", "Poss": "Yes", "PronType": "Prs", "Reflex": "Yes"}, "subst:sg:nom:m1__Case=Nom|Gender=Masc|Number=Sing|PronType=Rel|SubGender=Masc1": {POS: NOUN, "Case": "Nom", "Gender": "Masc", "Number": "Sing", "PronType": "Rel"}, "adj:sg:acc:f:pos__Case=Acc|Gender=Fem|Number=Sing|Number[psor]=Plur|Person=2|Poss=Yes|PronType=Prs": {POS: ADJ, "Case": "Acc", "Gender": "Fem", "Number": "Sing", "Person": "2", "Poss": "Yes", "PronType": "Prs"}, }

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6b626f743111c88f30530aac2e09a665237f7894

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py

Python

project1/subpackage/module.py

stroxler/pyre-check-scratch-projects

0da938da1fbf84437f5d37fc1685e2c561a44e10

[ "MIT" ]

null

project1/subpackage/module.py

stroxler/pyre-check-scratch-projects

0da938da1fbf84437f5d37fc1685e2c561a44e10

[ "MIT" ]

null

project1/subpackage/module.py

stroxler/pyre-check-scratch-projects

0da938da1fbf84437f5d37fc1685e2c561a44e10

[ "MIT" ]

null

def f(): return "a string"

10.333333

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31

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6b9fd6fce64b1b73ad691bc0c9c4eb923402538f

1,059

py

Python

vscode/extensions/magicstack.magicpython-1.0.12/test/strings/format12.py

nlimpid/dotfiles

b78d08707992f742f984f556fa58349c2ccd095d

[ "MIT" ]

5

2017-02-22T10:17:39.000Z

2021-04-06T16:36:13.000Z

test/strings/format12.py

Setonas/MagicSetonas

ef76da5f27a0506b194c58072b81424e3ce985d7

[ "MIT" ]

4

2019-06-16T09:52:03.000Z

2019-08-18T02:11:35.000Z

vscode/extensions/magicstack.magicpython-1.0.12/test/strings/format12.py

nlimpid/dotfiles

b78d08707992f742f984f556fa58349c2ccd095d

[ "MIT" ]

1

2020-08-29T02:30:52.000Z

a = R'$\frac{m_{j \%srightarrow i}(\mathrm{%sgood})}{\su%m{m_{j \rightarrow i}}}$' a : source.python : source.python = : keyword.operator.assignment.python, source.python : source.python R : source.python, storage.type.string.python, string.quoted.raw.single.python ' : punctuation.definition.string.begin.python, source.python, string.quoted.raw.single.python $\frac : source.python, string.quoted.raw.single.python {m_{j \ : source.python, string.quoted.raw.single.python %s : constant.character.format.placeholder.other.python, source.python, string.quoted.raw.single.python rightarrow i}(\mathrm{ : source.python, string.quoted.raw.single.python %s : constant.character.format.placeholder.other.python, source.python, string.quoted.raw.single.python good})}{\su%m{m_{j \rightarrow i}}}$ : source.python, string.quoted.raw.single.python ' : punctuation.definition.string.end.python, source.python, string.quoted.raw.single.python

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6ba03fdfb20c20c5978f15203528a5a9b5a16bb7

1,611

py

Python

home/models.py

Kshitij-Kumar-Singh-Chauhan/docon

bff0547e7bbd030e027217a2ca7800a8da529b56

[ "MIT" ]

null

home/models.py

Kshitij-Kumar-Singh-Chauhan/docon

bff0547e7bbd030e027217a2ca7800a8da529b56

[ "MIT" ]

null

home/models.py

Kshitij-Kumar-Singh-Chauhan/docon

bff0547e7bbd030e027217a2ca7800a8da529b56

[ "MIT" ]

2

2021-06-17T05:35:07.000Z

2021-06-17T06:01:23.000Z

from django.db import models # Create your models here. class Contact(models.Model): email = models.CharField(max_length=122) name = models.CharField(max_length=122) phone = models.CharField(max_length=12) address = models.TextField() date = models.DateField() def __str__(self): return self.name class UserDetails(models.Model): name = models.CharField(max_length=100, default=" ") email = models.CharField(max_length=100) password = models.CharField(max_length=100) key = models.CharField(max_length=100, default=" ") profession = models.CharField(max_length=100, default="PATIENT" ) data = models.CharField(max_length=100, default=" ") def __str__(self): return self.email class Book(models.Model): email = models.CharField(max_length=122) name = models.CharField(max_length=122) phone = models.CharField(max_length=12) problem = models.TextField() date = models.DateField() def __str__(self): return self.name+" "+self.problem class Report(models.Model): email = models.CharField(max_length=122) name = models.CharField(max_length=122) phone = models.CharField(max_length=12) message = models.TextField() date = models.DateField() def __str__(self): return self.name class Diagnostic(models.Model): email = models.CharField(max_length=122) name = models.CharField(max_length=122) phone = models.CharField(max_length=12) tests = models.TextField() date = models.DateField() def __str__(self): return self.name

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null

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8

6becf706ff15ad980f8cec97364a33a05135114f

96,826

py

Python

test/end/test_ending.py

reputage/bluepea

ab77548b76bfd410c60fd98c2b35a0ca84715ff0

[ "Apache-2.0" ]

null

test/end/test_ending.py

reputage/bluepea

ab77548b76bfd410c60fd98c2b35a0ca84715ff0

[ "Apache-2.0" ]

null

test/end/test_ending.py

reputage/bluepea

ab77548b76bfd410c60fd98c2b35a0ca84715ff0

[ "Apache-2.0" ]

null

from __future__ import generator_stop import os import tempfile import shutil import binascii import base64 import datetime import time import copy from collections import OrderedDict as ODict try: import simplejson as json except ImportError: import json import arrow import libnacl from ioflo.base import storing from ioflo.aid import timing from ioflo.aio.http import Valet, Patron from ioflo.aid import odict import falcon import pytest from pytest import approx import pytest_falcon # declares client fixture """ PyTest fixtures are registered globally in the pytest package So any test function can accept a fixture as a parameter supplied by the pytest runner pytest_falcon assumes there is a fixture named 'app' """ from bluepea import bluepeaing from bluepea.bluepeaing import SEPARATOR_BYTES, PROPAGATION_DELAY from bluepea.help.helping import (key64uToKey, keyToKey64u, makeDid, verify, verify64u, parseSignatureHeader, setupTmpBaseDir, cleanupTmpBaseDir, makeSignedAgentReg, makeSignedThingReg, extractDidSignerParts, ) from bluepea.db.dbing import setupTestDbEnv, setupTestDbAgentsThings import bluepea.db.dbing as dbing import bluepea.keep.keeping as keeping import bluepea.prime.priming as priming import bluepea.end.ending as ending store = storing.Store(stamp=0.0) exapp = falcon.API() # falcon.API instances are callable WSGI apps ending.loadEnds(exapp, store=store) @pytest.fixture def app(): return exapp def test_get_StaticSink(client): # client is a fixture in pytest_falcon """ Test GET to static files """ print("Testing GET /static") # get default /static rep = client.get('/static') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'text/html; charset=UTF-8' assert len(rep.body) > 0 # get default / rep = client.get('/') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'text/html; charset=UTF-8' assert len(rep.body) > 0 # get default trailing / rep = client.get('/static/') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'text/html; charset=UTF-8' assert len(rep.body) > 0 # get main.html rep = client.get('/static/main.html') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'text/html; charset=UTF-8' assert len(rep.body) > 0 # get main.html rep = client.get('/main.html') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'text/html; charset=UTF-8' assert len(rep.body) > 0 # attempt missing file rep = client.get('/static/missing.txt') assert rep.status == falcon.HTTP_NOT_FOUND assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.json == { 'description': 'File ' '"/Data/Code/private/indigo/bluepea/src/bluepea/static/missing.txt" ' 'not found or forbidden', 'title': 'Missing Resource'} # get robots.txt rep = client.get('/static/robots.txt') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'text/plain; charset=UTF-8' assert rep.body == '# robotstxt.org\n\nUser-agent: *\n' # get trial.js rep = client.get('/static/trial.js') assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/javascript; charset=UTF-8' assert len(rep.body) > 0 print("Done Test") def test_post_AgentRegisterSigned(): """ Use libnacl and Base64 to generate compliant signed Agent Registration Test both POST to create resource and subsequent GET to retrieve it. """ global store # use Global store print("Testing Issuer creation POST Demo /agent/register with signature ") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) # Create registration for issuer Ike #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) # Ann's seed seed = (b'PTi\x15\xd5\xd3`\xf1u\x15}^r\x9bfH\x02l\xc6\x1b\x1d\x1c\x0b9\xd7{\xc0_' b'\xf2K\x93`') # creates signing/verification key pair vk, sk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) date = timing.iso8601(dt, aware=True) assert date == "2000-01-01T00:00:00+00:00" assert arrow.get(date).datetime == dt sig, ser = makeSignedAgentReg(vk, sk, changed=date) assert sig == ('AeYbsHot0pmdWAcgTo5sD8iAuSQAfnH5U6wiIGpVNJQQoYKBYrPPx' 'AoIc1i5SHCIDS8KFFgf8i0tDq8XGizaCg==') assert ser == ( '{\n' ' "did": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ]\n' '}') dat = json.loads(ser, object_pairs_hook=ODict) did = dat['did'] headers = ODict() headers["Content-Type"] = "application/json; charset=UTF-8" headers["Signature"] = 'signer="{}"'.format(sig) assert headers['Signature'] == ('signer="AeYbsHot0pmdWAcgTo5sD8iAuSQAfnH5U6wiIGpVNJQQoYKBYrPPxAoIc1i5SHCIDS8KFFgf8i0tDq8XGizaCg=="') body = ser # client.post encodes the body path = "http://{}:{}{}".format('localhost', valet.servant.eha[1], '/agent') # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'POST', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 201 assert rep['reason'] == 'Created' assert rep['data'] == dat == { 'changed': '2000-01-01T00:00:00+00:00', 'did': 'did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=', 'keys': [ { 'key': 'Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=', 'kind': 'EdDSA' } ], 'signer': 'did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0' } assert rep['body'].decode() == ( '{\n' ' "did": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ]\n' '}') location = falcon.uri.decode(rep['headers']['location']) assert location == "/agent?did=did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=" path, query = location.rsplit("?", maxsplit=1) assert query == "did=did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=" query = falcon.uri.parse_query_string(query) assert query['did'] == "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=" assert rep['headers']['content-type'] == "application/json; charset=UTF-8" # make sure in database rdat, rser, rsig = dbing.getSelfSigned(did) assert rdat == dat assert rser == ser assert rsig == sig # now get from location headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) patron.request(method='GET', path=location, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == sig assert rep['data'] == dat ser = rep['body'].decode() assert verify64u(sig, ser, dat['keys'][0]['key']) # now get all headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) path = "/agent" qargs = odict(all="true") patron.request(method='GET', path=path, qargs=qargs, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' assert len(rep['data']) == 2 # server and new agent assert did in rep["data"] cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_post_IssuerRegisterSigned(): """ Use libnacl and Base64 to generate compliant signed Agent Registration Test both POST to create resource and subsequent GET to retrieve it. """ global store # use Global store print("Testing Issuer creation POST Demo /agent/register with signature ") #store = Store(stamp=0.0) # create store use global above priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) # Create registration for issuer Ike #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) # ike's seed seed = (b'!\x85\xaa\x8bq\xc3\xf8n\x93]\x8c\xb18w\xb9\xd8\xd7\xc3\xcf\x8a\x1dP\xa9m' b'\x89\xb6h\xfe\x10\x80\xa6S') # creates signing/verification key pair vk, sk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) stamp = timing.iso8601(dt, aware=True) assert stamp == "2000-01-01T00:00:00+00:00" assert arrow.get(stamp).datetime == dt issuant = ODict(kind="dns", issuer="localhost", registered=stamp, validationURL="http://localhost:8101/demo/check") issuants = [issuant] # list of hids sig, ser = makeSignedAgentReg(vk, sk, changed=stamp, issuants=issuants) assert sig == ('YbLIOlRx8xh5taCxW-_aCBoPboLAZjK5-d1DP4OZ9PWn13BpPCe12ZFVZfFlSsM3Pv-zljbsJnR6Adz7iE5ZAw==') assert ser == ( '{\n' ' "did": "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=",\n' ' "signer": "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ],\n' ' "issuants": [\n' ' {\n' ' "kind": "dns",\n' ' "issuer": "localhost",\n' ' "registered": "2000-01-01T00:00:00+00:00",\n' ' "validationURL": "http://localhost:8101/demo/check"\n' ' }\n' ' ]\n' '}') dat = json.loads(ser, object_pairs_hook=ODict) did = dat['did'] headers = ODict() headers["Content-Type"] = "application/json; charset=UTF-8" headers["Signature"] = 'signer="{}"'.format(sig) assert headers['Signature'] == ('signer="YbLIOlRx8xh5taCxW-_aCBoPboLAZjK5-d1DP4OZ9PWn13BpPCe12ZFVZfFlSsM3Pv-zljbsJnR6Adz7iE5ZAw=="') body = ser # client.post encodes the body path = "http://{}:{}{}".format('localhost', valet.servant.eha[1], '/agent') # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'POST', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 201 assert rep['reason'] == 'Created' body = rep['body'].decode() assert body == ( '{\n' ' "did": "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=",\n' ' "signer": "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ],\n' ' "issuants": [\n' ' {\n' ' "kind": "dns",\n' ' "issuer": "localhost",\n' ' "registered": "2000-01-01T00:00:00+00:00",\n' ' "validationURL": "http://localhost:8101/demo/check"\n' ' }\n' ' ]\n' '}') assert rep['data'] == {'changed': '2000-01-01T00:00:00+00:00', 'did': 'did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=', 'issuants': [{'issuer': 'localhost', 'kind': 'dns', 'registered': '2000-01-01T00:00:00+00:00', 'validationURL': 'http://localhost:8101/demo/check'}], 'keys': [{'key': '3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=', 'kind': 'EdDSA'}], 'signer': 'did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=#0'} location = falcon.uri.decode(rep['headers']['location']) assert location == "/agent?did=did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=" assert rep['headers']['content-type'] == "application/json; charset=UTF-8" reg = rep['data'] assert reg == dat # make sure in database rdat, rser, rsig = dbing.getSelfSigned(did) assert rdat == dat assert rser == ser assert rsig == sig # now get from location headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) #request = odict([('method', 'GET'), #('path', location), #('headers', headers) ]) #patron.requests.append(request) patron.request(method='GET', path=location, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == sig assert rep['data'] == dat ser = rep['body'].decode() assert verify64u(sig, ser, dat['keys'][0]['key']) # now get all issuers headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) path = "/agent" qargs = odict(all="true", issuer="true") patron.request(method='GET', path=path, qargs=qargs, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' assert len(rep['data']) == 1 # new agent assert did in rep["data"] cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_post_IssuerRegisterSignedFakeHid(): """ Use fake hid kind Use libnacl and Base64 to generate compliant signed Agent Registration Test both POST to create resource and subsequent GET to retrieve it. """ global store # use Global store print("Testing Issuer creation POST Demo /agent/register with signature Fake hid") bluepeaing.fakeHidKind = True #store = Store(stamp=0.0) # create store use global above priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) # Create registration for issuer Ike #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) # ike's seed seed = (b'!\x85\xaa\x8bq\xc3\xf8n\x93]\x8c\xb18w\xb9\xd8\xd7\xc3\xcf\x8a\x1dP\xa9m' b'\x89\xb6h\xfe\x10\x80\xa6S') # creates signing/verification key pair vk, sk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) stamp = timing.iso8601(dt, aware=True) assert stamp == "2000-01-01T00:00:00+00:00" assert arrow.get(stamp).datetime == dt issuant = ODict(kind="fake", issuer="generic", registered=stamp) issuants = [issuant] # list of hids sig, ser = makeSignedAgentReg(vk, sk, changed=stamp, issuants=issuants) assert sig == 'tnvn8jrwUxtoiCItTjFrCUYgHk3L4Q32INHTD9lFTBEFpJdgBCjsxHIN2e5eu4oICdi9b2tvtJmDbTi2U3PkBA==' assert ser == ( '{\n' ' "did": "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=",\n' ' "signer": "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ],\n' ' "issuants": [\n' ' {\n' ' "kind": "fake",\n' ' "issuer": "generic",\n' ' "registered": "2000-01-01T00:00:00+00:00"\n' ' }\n' ' ]\n' '}') dat = json.loads(ser, object_pairs_hook=ODict) did = dat['did'] headers = ODict() headers["Content-Type"] = "application/json; charset=UTF-8" headers["Signature"] = 'signer="{}"'.format(sig) body = ser # client.post encodes the body path = "http://{}:{}{}".format('localhost', valet.servant.eha[1], '/agent') # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'POST', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 201 assert rep['reason'] == 'Created' assert rep['data'] == {'changed': '2000-01-01T00:00:00+00:00', 'did': 'did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=', 'issuants': [{'issuer': 'generic', 'kind': 'fake', 'registered': '2000-01-01T00:00:00+00:00'}], 'keys': [{'key': '3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=', 'kind': 'EdDSA'}], 'signer': 'did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=#0'} location = falcon.uri.decode(rep['headers']['location']) assert location == "/agent?did=did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=" assert rep['headers']['content-type'] == "application/json; charset=UTF-8" reg = rep['data'] assert reg == dat # make sure in database rdat, rser, rsig = dbing.getSelfSigned(did) assert rdat == dat assert rser == ser assert rsig == sig # now get from location headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) #request = odict([('method', 'GET'), #('path', location), #('headers', headers) ]) #patron.requests.append(request) patron.request(method='GET', path=location, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == sig assert rep['data'] == dat ser = rep['body'].decode() assert verify64u(sig, ser, dat['keys'][0]['key']) cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() bluepeaing.fakeHidKind = False print("Done Test") def test_post_ThingRegisterSigned(): # client is a fixture in pytest_falcon """ Use libnacl and Base64 to generate compliant signed Thing Registration Test both POST to create resource and subsequent GET to retrieve it. Does an Agent registration to setup database """ global store # use Global store print("Testing Thing creation POST /thing with signature ") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) changed = timing.iso8601(dt, aware=True) # First create the controlling agent for thing # random seed used to generate private signing key #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) # make "ivy" the issurer seed = seed = (b"\xb2PK\xad\x9b\x92\xa4\x07\xc6\xfa\x0f\x13\xd7\xe4\x08\xaf\xc7'~\x86" b'\xd2\x92\x93rA|&9\x16Bdi') # creates signing/verification key pair ivk, isk = libnacl.crypto_sign_seed_keypair(seed) issuant = ODict(kind="dns", issuer="localhost", registered=changed, validationURL="http://localhost:8101/demo/check") issuants = [issuant] # list of issuants hid name spaces sig, ser = makeSignedAgentReg(ivk, isk, changed=changed, issuants=issuants) idat = json.loads(ser, object_pairs_hook=ODict) idid = idat['did'] dbing.putSigned(key=idid, ser=ser, sig=sig, clobber=False) assert idat == { 'did': 'did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=', 'signer': 'did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0', 'changed': '2000-01-01T00:00:00+00:00', 'keys': [ { 'key': 'dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=', 'kind': 'EdDSA' } ], 'issuants': [ { 'issuer': 'localhost', 'kind': 'dns', 'registered': '2000-01-01T00:00:00+00:00', 'validationURL': 'http://localhost:8101/demo/check' } ] } # Now create the thing # creates signing/verification key pair thing DID #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'\xba^\xe4\xdd\x81\xeb\x8b\xfa\xb1k\xe2\xfd6~^\x86tC\x9c\xa7\xe3\x1d2\x9d' b'P\xdd&R <\x97\x01') dvk, dsk = libnacl.crypto_sign_seed_keypair(seed) assert dvk == (b'\xe0\x90\x8c\xf1\xd2V\xc3\xf3\xb9\xee\xf38\x90\x0bS\xb7L\x96\xa9(' b'\x01\xbb\x08\x87\xa5X\x1d\xe7\x90b\xa0#') assert dsk == (b'\xba^\xe4\xdd\x81\xeb\x8b\xfa\xb1k\xe2\xfd6~^\x86tC\x9c\xa7\xe3\x1d2\x9d' b'P\xdd&R <\x97\x01\xe0\x90\x8c\xf1\xd2V\xc3\xf3\xb9\xee\xf38\x90\x0bS\xb7' b'L\x96\xa9(\x01\xbb\x08\x87\xa5X\x1d\xe7\x90b\xa0#') signer = idat['signer'] hid = "hid:dns:localhost#02" data = ODict(keywords=["Canon", "EOS Rebel T6", "251440"], message="If found please return.") dsignature, ssignature, tregistration = makeSignedThingReg(dvk, dsk, isk, signer, changed=changed, hid=hid, data=data) assert tregistration == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#02",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') assert dsignature == 'bzJDEvEprraZc9aOLYS7WaPi5UB_px0EH9wu76rFPrbRgjAUO9JJ4roMpQrD31v3WlbHHTG8WzB5L8PE6v3BCg==' assert ssignature == 'FGRHzSNS70LIjwcSTAxHx5RahDwAet090fYSnsReMco_WvpTVpvfEygWDXslCBh0TqBoEOMLQ78-kN8fj6NFAg==' treg = json.loads(tregistration, object_pairs_hook=ODict) assert treg == { "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=", "hid": "hid:dns:localhost#02", "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0", "changed": "2000-01-01T00:00:00+00:00", "data": { "keywords": ["Canon", "EOS Rebel T6", "251440"], "message": "If found please return.", } } headers = { "Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}";did="{}"'.format(ssignature, dsignature), } body = tregistration # client.post encodes the body #rep = client.post('/thing', body=body, headers=headers) path = "http://{}:{}{}".format('localhost', valet.servant.eha[1], '/thing') # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'POST', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 201 assert rep['reason'] == 'Created' location = falcon.uri.decode(rep['headers']['location']) assert location == "/thing?did=did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=" path, query = location.rsplit("?", maxsplit=1) assert query == "did=did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=" query = falcon.uri.parse_query_string(query) tdid = query['did'] assert tdid == "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=" assert rep["headers"]['content-type'] == "application/json; charset=UTF-8" assert rep['data'] == treg assert treg["did"] == tdid # make sure in database tdat, tser, tsig = dbing.getSigned(tdid) assert tdat == treg assert tser == tregistration assert tsig == ssignature sverkey = keyToKey64u(ivk) assert sverkey == 'dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=' assert verify64u(signature=tsig, message=tser, verkey=sverkey) # verify hid table entry assert hid == treg['hid'] htdid = dbing.getHid(treg['hid']) assert htdid == tdid # get thing by did print("Testing GET /thing?did=....") headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) patron.request(method='GET', path=location, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == ssignature assert rep['data'] == treg ser = rep['body'].decode() assert ser == tregistration assert verify64u(ssignature, ser, sverkey) # get thing by hid print("Testing GET /thing?hid=....") headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) qargs = odict(hid=hid) path = '/thing' patron.request(method='GET', path=path, qargs=qargs, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == ssignature assert rep['data'] == treg ser = rep['body'].decode() assert ser == tregistration assert verify64u(ssignature, ser, sverkey) # now get all headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) path = "/thing" qargs = odict(all="true") patron.request(method='GET', path=path, qargs=qargs, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' assert len(rep['data']) == 1 # new thing assert tdid in rep["data"] cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_get_AgentServer(client): # client is a fixture in pytest_falcon """ Test GET to retrieve precreated server agent. """ print("Testing GET /server with signature") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did print("Testing GET /server") rep = client.get('/server') assert rep.status == falcon.HTTP_OK assert int(rep.headers['content-length']) == 291 assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.headers['signature'] == ('signer="u72j9aKHgz99f0K8pSkMnyqwvEr_3r' 'pS_z2034L99sTWrMIIJGQPbVuIJ1cupo6cfIf_KCB5ecVRYoFRzAPnAQ=="') sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == ('u72j9aKHgz99f0K8pSkMnyqwvEr_3rpS_z2034L99sTWrMII' 'JGQPbVuIJ1cupo6cfIf_KCB5ecVRYoFRzAPnAQ==') assert rep.body == ( '{\n' ' "did": "did:igo:Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=",\n' ' "signer": "did:igo:Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ]\n' '}') assert rep.json == { 'did': 'did:igo:Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=', 'signer': 'did:igo:Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=#0', 'changed': '2000-01-01T00:00:00+00:00', 'keys': [ { 'key': 'Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=', 'kind': 'EdDSA' } ], } assert rep.json['did'] == kdid assert verify64u(sigs['signer'], rep.body, rep.json['keys'][0]['key']) dat, ser, sig = dbing.getSigned(kdid) assert dat == rep.json assert ser == rep.body assert sig == sigs['signer'] print("Testing get server using GET /agent/registration?did=") didURI = falcon.uri.encode_value(kdid) rep = client.get('/agent?did={}'.format(didURI)) assert rep.status == falcon.HTTP_OK assert int(rep.headers['content-length']) == 291 assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.headers['signature'] == ('signer="u72j9aKHgz99f0K8pSkMnyqwvEr_3r' 'pS_z2034L99sTWrMIIJGQPbVuIJ1cupo6cfIf_KCB5ecVRYoFRzAPnAQ=="') sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == sig assert rep.body == ser assert rep.json == dat cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_get_AgentDid(client): # client is a fixture in pytest_falcon """ Test GET to agent at did. """ print("Testing GET /agent/{did}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # put agent into database # random seed used to generate private signing key #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'PTi\x15\xd5\xd3`\xf1u\x15}^r\x9bfH\x02l\xc6\x1b\x1d\x1c\x0b9\xd7{\xc0_' b'\xf2K\x93`') # creates signing/verification key pair vk, sk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) stamp = timing.iso8601(dt, aware=True) sig, res = makeSignedAgentReg(vk, sk, changed=stamp) reg = json.loads(res, object_pairs_hook=ODict) did = reg['did'] dbing.putSigned(key=did, ser=res, sig=sig, clobber=False) didURI = falcon.uri.encode_value(did) rep = client.get('/agent/{}'.format(didURI)) assert rep.status == falcon.HTTP_OK assert int(rep.headers['content-length']) == 291 assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.headers['signature'] == ('signer="{}"'.format(sig)) sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == ('AeYbsHot0pmdWAcgTo5sD8iAuSQAfnH5U6wiIGpVNJQQoYKB' 'YrPPxAoIc1i5SHCIDS8KFFgf8i0tDq8XGizaCg==') assert rep.body == ( '{\n' ' "did": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ]\n' '}') assert rep.json['did'] == did assert verify64u(sigs['signer'], rep.body, rep.json['keys'][0]['key']) cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_put_AgentDid(): """ Test PUT to agent at did. Overwrites existing agent data resource with new data """ global store # use Global store print("Testing put /agent/{did}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) # put an agent into database so we can update it # random seed used to generate private signing key #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'PTi\x15\xd5\xd3`\xf1u\x15}^r\x9bfH\x02l\xc6\x1b\x1d\x1c\x0b9\xd7{\xc0_' b'\xf2K\x93`') # creates signing/verification key pair vk, sk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) date = timing.iso8601(dt, aware=True) sig, res = makeSignedAgentReg(vk, sk, changed=date) reg = json.loads(res, object_pairs_hook=ODict) did = reg['did'] dbing.putSigned(key=did, ser=res, sig=sig, clobber=False) rdat, rser, rsig = dbing.getSelfSigned(did) assert rdat == reg assert rser == res assert rsig == sig # change signer and key fields #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'\xd2\'\x87\x0fs\xd7\xf5\xba\xc1\xff!\x85j\xf5\xe4"\x87\x1c8\n[\xe9\x8e\x0b' b'\x11\xf55\x8b\xb8\x0c\x19\x13') # creates signing/verification key pair nvk, nsk = libnacl.crypto_sign_seed_keypair(seed) ndt = datetime.datetime(2000, 1, 2, tzinfo=datetime.timezone.utc) nstamp = timing.iso8601(ndt, aware=True) index = 1 signer = "{}#{}".format(did, index) # signer field value key at index nverkey = keyToKey64u(nvk) # make key index field value assert nverkey == 'FsSQTQnp_W-6RPkuvULH8h8G5u_4qYl61ec9-k-2hKc=' kind = "EdDSA" reg["signer"] = signer reg["changed"] = nstamp reg["keys"].append(ODict(key=nverkey, kind=kind)) assert reg["keys"][1] == {'key': 'FsSQTQnp_W-6RPkuvULH8h8G5u_4qYl61ec9-k-2hKc=', 'kind': 'EdDSA'} assert reg['signer'] == "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#1" nres = json.dumps(reg, indent=2) nsig = keyToKey64u(libnacl.crypto_sign(nres.encode("utf-8"), nsk)[:libnacl.crypto_sign_BYTES]) csig = keyToKey64u(libnacl.crypto_sign(nres.encode("utf-8"), sk)[:libnacl.crypto_sign_BYTES]) assert nsig == 'Y5xTb0_jTzZYrf5SSEK2f3LSLwIwhOX7GEj6YfRWmGViKAesa08UkNWukUkPGuKuu-EAH5U-sdFPPboBAsjRBw==' assert csig == "Xhh6WWGJGgjU5V-e57gj4HcJ87LLOhQr2Sqg5VToTSg-SI1W3A8lgISxOjAI5pa2qnonyz3tpGvC2cmf1VTpBg==" # now overwrite with new one headers = {"Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}";current="{}"'.format(nsig, csig)} body = nres # client.post encodes the body #didURI = falcon.uri.encode_value(did) # patron url quotes path for us so don't quote before path = "http://{}:{}/agent/{}".format('localhost', valet.servant.eha[1], did) # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'PUT', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['reason'] == 'OK' assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == nsig assert sigs['signer'] == ('Y5xTb0_jTzZYrf5SSEK2f3LSLwIwhOX7GEj6YfRWmGViKAes' 'a08UkNWukUkPGuKuu-EAH5U-sdFPPboBAsjRBw==') assert rep['data'] == reg assert rep['body'].decode() == nres == ( '{\n' ' "did": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#1",\n' ' "changed": "2000-01-02T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "kind": "EdDSA"\n' ' },\n' ' {\n' ' "key": "FsSQTQnp_W-6RPkuvULH8h8G5u_4qYl61ec9-k-2hKc=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ]\n' '}') # verify that its in database ddat, dser, dsig = dbing.getSigned(did) assert ddat == reg assert dser == nres assert dsig == nsig # now get it # patron url encodes path for us patron.request(path='/agent/{}'.format(did), method='GET' ) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['reason'] == 'OK' assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == nsig assert sigs['signer'] == ('Y5xTb0_jTzZYrf5SSEK2f3LSLwIwhOX7GEj6YfRWmGViKAes' 'a08UkNWukUkPGuKuu-EAH5U-sdFPPboBAsjRBw==') assert rep['data']['did'] == did assert rep['body'].decode() == ( '{\n' ' "did": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#1",\n' ' "changed": "2000-01-02T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "kind": "EdDSA"\n' ' },\n' ' {\n' ' "key": "FsSQTQnp_W-6RPkuvULH8h8G5u_4qYl61ec9-k-2hKc=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ]\n' '}') assert verify64u(sigs['signer'], rep['body'].decode(), rep['data']['keys'][1]['key']) cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_put_IssuerDid(client): # client is a fixture in pytest_falcon """ Test PUT to issuer agent at did. Overwrites existing agent data resource with new data """ global store # use Global store print("Testing put /agent/{did} for issuer") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) # put an agent into database so we can update it # random seed used to generate private signing key #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) # ivy's seed seed = (b"\xb2PK\xad\x9b\x92\xa4\x07\xc6\xfa\x0f\x13\xd7\xe4\x08\xaf\xc7'~\x86" b'\xd2\x92\x93rA|&9\x16Bdi') # creates signing/verification key pair vk, sk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) date = timing.iso8601(dt, aware=True) issuant = ODict(kind="dns", issuer="localhost", registered=date, validationURL="http://localhost:8101/demo/check") issuants = [issuant] # list of hid issuants sig, res = makeSignedAgentReg(vk, sk, changed=date, issuants=issuants) dat = json.loads(res, object_pairs_hook=ODict) did = dat['did'] dbing.putSigned(key=did, ser=res, sig=sig, clobber=False) vdat, vser, vsig = dbing.getSelfSigned(did) assert vdat == dat assert vser == res assert vsig == sig # change signer and key fields #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'Z\xda?\x93M\xf8|\xe2!d\x16{s\x9d\x07\xd2\x98\xf2!\xff\xb8\xb6\xf9Z' b'\xe5I\xbc\x97}IFV') # creates signing/verification key pair nvk, nsk = libnacl.crypto_sign_seed_keypair(seed) ndt = datetime.datetime(2000, 1, 2, tzinfo=datetime.timezone.utc) ndate = timing.iso8601(ndt, aware=True) index = 1 signer = "{}#{}".format(did, index) # signer field value key at index nverkey = keyToKey64u(nvk) # make key index field value assert nverkey == '0UX5tP24WPEmAbROdXdygGAM3oDcvrqb3foX4EyayYI=' kind = "EdDSA" dat["signer"] = signer dat["changed"] = ndate dat["keys"].append(ODict(key=nverkey, kind=kind)) assert dat["keys"][1] == {'key': '0UX5tP24WPEmAbROdXdygGAM3oDcvrqb3foX4EyayYI=', 'kind': 'EdDSA'} assert dat['signer'] == "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#1" nres = json.dumps(dat, indent=2) nsig = keyToKey64u(libnacl.crypto_sign(nres.encode("utf-8"), nsk)[:libnacl.crypto_sign_BYTES]) csig = keyToKey64u(libnacl.crypto_sign(nres.encode("utf-8"), sk)[:libnacl.crypto_sign_BYTES]) assert nsig == 'n6Rpwa17V7_mjROO4ZAZYfJ7IejuL8XjaMHx6ylFgMvaa9AxNJ9KAcfXYe8PTSIdws81yvUSpWzQtqPFi2tHBQ==' assert csig == 'mKH2K-EHbARadyDufNnu-_YB8LoHjh3pL6NpJk4Z6Cn3MCdCAvGtyncuUssF-6e8DxFnmo0um-vBb3-Hr2UkAA==' # now overwrite with new one using web service path = "http://{}:{}/agent/{}".format('localhost', valet.servant.eha[1], did) headers = {"Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}";current="{}"'.format(nsig, csig)} body = nres.encode() #didURI = falcon.uri.encode_value(did) #rep = client.put('/agent/{}'.format(didURI), body=body, headers=headers) # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'PUT', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['reason'] == 'OK' assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep["headers"]['signature']) assert sigs['signer'] == nsig assert rep['data'] == dat == { 'changed': '2000-01-02T00:00:00+00:00', 'did': 'did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=', 'issuants': [{'issuer': 'localhost', 'kind': 'dns', 'registered': '2000-01-01T00:00:00+00:00', 'validationURL': 'http://localhost:8101/demo/check'}], 'keys': [{'key': 'dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=', 'kind': 'EdDSA'}, {'key': '0UX5tP24WPEmAbROdXdygGAM3oDcvrqb3foX4EyayYI=', 'kind': 'EdDSA'}], 'signer': 'did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#1' } assert rep['body'].decode() == nres == ( '{\n' ' "did": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#1",\n' ' "changed": "2000-01-02T00:00:00+00:00",\n' ' "keys": [\n' ' {\n' ' "key": "dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=",\n' ' "kind": "EdDSA"\n' ' },\n' ' {\n' ' "key": "0UX5tP24WPEmAbROdXdygGAM3oDcvrqb3foX4EyayYI=",\n' ' "kind": "EdDSA"\n' ' }\n' ' ],\n' ' "issuants": [\n' ' {\n' ' "kind": "dns",\n' ' "issuer": "localhost",\n' ' "registered": "2000-01-01T00:00:00+00:00",\n' ' "validationURL": "http://localhost:8101/demo/check"\n' ' }\n' ' ]\n' '}') # verify that its in database vdat, vser, vsig = dbing.getSigned(did) assert vdat == dat assert vser == nres assert vsig == nsig # now get it from web service patron.request(path='/agent/{}'.format(did), method='GET' ) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['reason'] == 'OK' assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == nsig assert rep['data']['did'] == did assert rep['body'].decode() == nres assert verify64u(sigs['signer'], rep['body'].decode(), rep['data']['keys'][1]['key']) cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_get_ThingDid(client): # client is a fixture in pytest_falcon """ Test GET to thing at did. """ print("Testing GET /thing/{did}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # To put thing into database first need to put owning agent and then thing # put agent into database # random seed used to generate private signing key #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b"\xb2PK\xad\x9b\x92\xa4\x07\xc6\xfa\x0f\x13\xd7\xe4\x08\xaf\xc7'~\x86" b'\xd2\x92\x93rA|&9\x16Bdi') # creates signing/verification key pair svk, ssk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) stamp = timing.iso8601(dt, aware=True) asig, aser = makeSignedAgentReg(svk, ssk, changed=stamp) adat = json.loads(aser, object_pairs_hook=ODict) adid = adat['did'] dbing.putSigned(key=adid, ser=aser, sig=asig, clobber=False) # verify that its in database vdat, vser, vsig = dbing.getSigned(adid) assert vdat == adat assert vser == aser assert vsig == asig # create thing signed by agent and put into database # creates signing/verification key pair thing DID #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'\xba^\xe4\xdd\x81\xeb\x8b\xfa\xb1k\xe2\xfd6~^\x86tC\x9c\xa7\xe3\x1d2\x9d' b'P\xdd&R <\x97\x01') dvk, dsk = libnacl.crypto_sign_seed_keypair(seed) signer = adat['signer'] # use same signer key fragment reference as agent hid = "hid:dns:localhost#02" data = ODict(keywords=["Canon", "EOS Rebel T6", "251440"], message="If found please return.") dsig, ssig, tser = makeSignedThingReg(dvk, dsk, ssk, signer, changed=stamp, hid=hid, data=data) assert ssig == 'FGRHzSNS70LIjwcSTAxHx5RahDwAet090fYSnsReMco_WvpTVpvfEygWDXslCBh0TqBoEOMLQ78-kN8fj6NFAg==' tdat = json.loads(tser, object_pairs_hook=ODict) tdid = tdat['did'] assert tdid == "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=" assert tser == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#02",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') dbing.putSigned(key=tdid, ser=tser, sig=ssig, clobber=False) # verify that its in database vdat, vser, vsig = dbing.getSigned(tdid) assert vdat == tdat assert vser == tser assert vsig == ssig # now get it from web service didURI = falcon.uri.encode_value(tdid) rep = client.get('/thing/{}'.format(didURI)) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.headers['signature'] == ('signer="{}"'.format(ssig)) sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == 'FGRHzSNS70LIjwcSTAxHx5RahDwAet090fYSnsReMco_WvpTVpvfEygWDXslCBh0TqBoEOMLQ78-kN8fj6NFAg==' assert rep.body == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#02",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') assert rep.json['did'] == tdid assert verify64u(sigs['signer'], rep.body, adat['keys'][0]['key']) cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_put_ThingDid(client): # client is a fixture in pytest_falcon """ Test PUT to thing at did. """ global store # use Global store print("Testing PUT /thing/{did}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) # To put thing into database first need to put owning agent and then thing # put agent into database # random seed used to generate private signing key #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b"\xb2PK\xad\x9b\x92\xa4\x07\xc6\xfa\x0f\x13\xd7\xe4\x08\xaf\xc7'~\x86" b'\xd2\x92\x93rA|&9\x16Bdi') # creates signing/verification key pair svk, ssk = libnacl.crypto_sign_seed_keypair(seed) dt = datetime.datetime(2000, 1, 1, tzinfo=datetime.timezone.utc) stamp = timing.iso8601(dt, aware=True) issuant = ODict(kind="dns", issuer="localhost", registered=stamp, validationURL="http://localhost:8101/demo/check") issuants = [issuant] # list of hid issuants asig, aser = makeSignedAgentReg(svk, ssk, changed=stamp, issuants=issuants) adat = json.loads(aser, object_pairs_hook=ODict) adid = adat['did'] # modify agent so has another key in keys #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'Z\xda?\x93M\xf8|\xe2!d\x16{s\x9d\x07\xd2\x98\xf2!\xff\xb8\xb6\xf9Z' b'\xe5I\xbc\x97}IFV') # creates signing/verification key pair nvk, nsk = libnacl.crypto_sign_seed_keypair(seed) nverkey = keyToKey64u(nvk) # make key index field value assert nverkey == '0UX5tP24WPEmAbROdXdygGAM3oDcvrqb3foX4EyayYI=' kind = "EdDSA" adat["keys"].append(ODict(key=nverkey, kind=kind)) assert adat["keys"][1] == {'key': '0UX5tP24WPEmAbROdXdygGAM3oDcvrqb3foX4EyayYI=', 'kind': 'EdDSA'} nser = json.dumps(adat, indent=2) # did not change signer so sign with prior signer nsig = keyToKey64u(libnacl.crypto_sign(nser.encode("utf-8"), ssk)[:libnacl.crypto_sign_BYTES]) assert nsig == 'EH_KoQBJU7u8gWuheKQyfpj1rP17cDycOsmn5X_ZXQfkRtORrsBc0bUK3G_MSZ80zM5AaghKqAJXQbLquBZPAw==' dbing.putSigned(key=adid, ser=nser, sig=nsig, clobber=False) # verify that its in database vdat, vser, vsig = dbing.getSelfSigned(adid) assert vdat == adat assert vser == nser assert vsig == nsig # create thing signed by agent and put into database # creates signing/verification key pair thing DID #seed = libnacl.randombytes(libnacl.crypto_sign_SEEDBYTES) seed = (b'\xba^\xe4\xdd\x81\xeb\x8b\xfa\xb1k\xe2\xfd6~^\x86tC\x9c\xa7\xe3\x1d2\x9d' b'P\xdd&R <\x97\x01') dvk, dsk = libnacl.crypto_sign_seed_keypair(seed) signer = adat['signer'] # use same signer key fragment reference as agent hid = "hid:dns:localhost#02" data = ODict(keywords=["Canon", "EOS Rebel T6", "251440"], message="If found please return.") dsig, ssig, tser = makeSignedThingReg(dvk, dsk, ssk, signer, changed=stamp, hid=hid, data=data) assert ssig == 'FGRHzSNS70LIjwcSTAxHx5RahDwAet090fYSnsReMco_WvpTVpvfEygWDXslCBh0TqBoEOMLQ78-kN8fj6NFAg==' tdat = json.loads(tser, object_pairs_hook=ODict) tdid = tdat['did'] assert tdid == "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=" assert tser == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#02",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') dbing.putSigned(key=tdid, ser=tser, sig=ssig, clobber=False) # verify that its in database vdat, vser, vsig = dbing.getSigned(tdid) assert vdat == tdat assert vser == tser assert vsig == ssig # put entry in hid table dbing.putHid(tdat['hid'], tdid) htdid = dbing.getHid(tdat['hid']) assert htdid == tdid # now change signer field, hid field, and changed field odat = copy.copy(tdat) # make copy before change index = 1 signer = "{}#{}".format(adid, index) # signer field value key at index assert signer == 'did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#1' tdat['signer'] = signer tdat["hid"] = "hid:dns:localhost#03" dt = datetime.datetime(2000, 1, 2, tzinfo=datetime.timezone.utc) stamp = timing.iso8601(dt, aware=True) tdat['changed'] = stamp # now double sign and put to web service ntser = json.dumps(tdat, indent=2) ntsig = keyToKey64u(libnacl.crypto_sign(ntser.encode("utf-8"), nsk)[:libnacl.crypto_sign_BYTES]) ctsig = keyToKey64u(libnacl.crypto_sign(ntser.encode("utf-8"), ssk)[:libnacl.crypto_sign_BYTES]) assert ntsig == 'rsUNXdD5-gIgfTPkJNsXtF2ZEMJpUFOKn2EVsSlKWtG7EfyzdqM4iHYQw5pviPGd7EPqBKvafGDvmuHBNI0wBg==' assert ctsig == 'CEbDp3n-ZKMIQZr9f4O2fjHqnXTkwPDd87Mgx7Cphql1m54_YqmGEvKZC9tVw3nWjNq3LTTwwH6OFDL25be7CQ==' # now overwrite with new one using web service headers = {"Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}";current="{}"'.format(ntsig, ctsig)} body = ntser # client.post encodes the body # patron url quotes path for us so don't quote before path = "http://{}:{}/thing/{}".format('localhost', valet.servant.eha[1], tdid) # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'PUT', path=path, headers=headers, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['reason'] == 'OK' assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == ntsig assert rep['data'] == tdat ser = rep['body'].decode() assert ser == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#03",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#1",\n' ' "changed": "2000-01-02T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') assert verify64u(sigs['signer'], ser, adat['keys'][1]['key']) # verify that its in database vdat, vser, vsig = dbing.getSigned(tdid) assert vdat == tdat assert vser == ntser assert vsig == ntsig # verify hid table changes htdid = dbing.getHid(tdat['hid']) assert htdid == tdid otdid = dbing.getHid(odat['hid']) assert otdid == "" # now get it from web service headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) path = "http://{}:{}/thing/{}".format('localhost', valet.servant.eha[1], tdid) patron.request(method='GET', path=path, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) assert len(patron.responses) == 1 rep = patron.responses.popleft() assert rep['status'] == 200 assert rep['headers']['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep['headers']['signature']) assert sigs['signer'] == ntsig assert rep['data'] == tdat ser = rep['body'].decode() assert ser == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#03",\n' ' "signer": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#1",\n' ' "changed": "2000-01-02T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') assert verify64u(sigs['signer'], ser, adat['keys'][1]['key']) cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_post_AgentDidDrop(client): # client is a fixture in pytest_falcon """ Test POST drop message to agent . { "uid": "m_00035d2976e6a000_26ace93", "kind": "found", "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0", "date": "2000-01-03T00:00:00+00:00", "to": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=", "from": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=", "thing": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=", "subject": "Lose something?", "content": "Look what I found" } """ print("Testing POST /agent/{adid}/drop") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did agents, things = setupTestDbAgentsThings() agents['sam'] = (kdid, keeper.verkey, keeper.sigkey) # sam the server for did, vk, sk in agents.values(): dat, ser, sig = dbing.getSelfSigned(did) assert dat is not None assert dat['did'] == did for did, vk, sk in things.values(): dat, ser, sig = dbing.getSigned(did) assert dat is not None assert dat['did'] == did # post message from Ann to Ivy dt = datetime.datetime(2000, 1, 3, tzinfo=datetime.timezone.utc) changed = timing.iso8601(dt, aware=True) assert changed == "2000-01-03T00:00:00+00:00" stamp = dt.timestamp() # make time.time value #muid = timing.tuuid(stamp=stamp, prefix="m") muid = "m_00035d2976e6a000_26ace93" assert muid == "m_00035d2976e6a000_26ace93" srcDid, srcVk, srcSk = agents['ann'] dstDid, dstVk, dskSk = agents['ivy'] thingDid, thingVk, thingSk = things['cam'] assert dstDid == "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=" signer = "{}#0".format(srcDid) assert signer == "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0" msg = ODict() msg['uid'] = muid msg['kind'] = "found" msg['signer'] = "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0" msg['date'] = changed msg['to'] = dstDid msg['from'] = srcDid msg['thing'] = thingDid msg['subject'] = "Lose something?" msg['content'] = "Look what I found" mser = json.dumps(msg, indent=2) msig = keyToKey64u(libnacl.crypto_sign(mser.encode("utf-8"), srcSk)[:libnacl.crypto_sign_BYTES]) assert msig == "07u1OcQI8FUeWPqeiga3A9k4MPJGSFmC4vShiJNpv2Rke9ssnW7aLx857HC5ZaJ973WSKkLAwPzkl399d01HBA==" dstDidUri = falcon.uri.encode_value(dstDid) headers = {"Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}"'.format(msig)} body = mser # client.post encodes the body rep = client.post('/agent/{}/drop'.format(dstDidUri), body=body, headers=headers) assert rep.status == falcon.HTTP_201 assert msg == rep.json location = falcon.uri.decode(rep.headers['location']) assert location == "/agent/{}/drop?from={}&uid={}".format(dstDid, srcDid, muid) # now get it from web service # need to use uri encode version of location header assert rep.headers['location'] == ('/agent/did%3Aigo%3AdZ74MLZXD-1QHoa73w9pQ' '9GroAvxqFi2RTZWlkC0raY%3D/drop' '?from=did%3Aigo%3AQt27fThWoNZsa88VrTkep' '6H-4HA8tr54sHON1vWl6FE%3D&' 'uid=m_00035d2976e6a000_26ace93') rep = client.get(rep.headers['location']) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == msig assert rep.body == ( '{\n' ' "uid": "m_00035d2976e6a000_26ace93",\n' ' "kind": "found",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0",\n' ' "date": "2000-01-03T00:00:00+00:00",\n' ' "to": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=",\n' ' "from": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "thing": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "subject": "Lose something?",\n' ' "content": "Look what I found"\n' '}') assert verify64u(msig, rep.body, keyToKey64u(srcVk)) # get message list path = "/agent/{}/drop?all=true".format(dstDidUri) assert path == "/agent/did%3Aigo%3AdZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY%3D/drop?all=true" rep = client.get(path) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.json == [{'from': 'did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=', 'uid': 'm_00035d2976e6a000_26ace93'}] cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_get_AgentDidDrop(client): # client is a fixture in pytest_falcon """ Test GET drop message to agent { "uid": "m_00035d2976e6a000_26ace93", "kind": "found", "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0", "date": "2000-01-03T00:00:00+00:00", "to": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=", "from": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=", "thing": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=", "subject": "Lose something?", "content": "Look what I found" } """ print("Testing GET /agent/{adid}/drop/{cdid}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did agents, things = setupTestDbAgentsThings() agents['sam'] = (kdid, keeper.verkey, keeper.sigkey) # sam the server for did, vk, sk in agents.values(): dat, ser, sig = dbing.getSelfSigned(did) assert dat is not None assert dat['did'] == did for did, vk, sk in things.values(): dat, ser, sig = dbing.getSigned(did) assert dat is not None assert dat['did'] == did # Insert message from Ann to Ivy into database dt = datetime.datetime(2000, 1, 3, tzinfo=datetime.timezone.utc) changed = timing.iso8601(dt, aware=True) assert changed == "2000-01-03T00:00:00+00:00" stamp = dt.timestamp() # make time.time value #muid = timing.tuuid(stamp=stamp, prefix="m") muid = "m_00035d2976e6a000_26ace93" assert muid == "m_00035d2976e6a000_26ace93" srcDid, srcVk, srcSk = agents['ann'] dstDid, dstVk, dskSk = agents['ivy'] thingDid, thingVk, thingSk = things['cam'] signer = "{}#0".format(srcDid) assert signer == "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0" msg = ODict() msg['uid'] = muid msg['kind'] = "found" msg['signer'] = "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0" msg['date'] = changed msg['to'] = dstDid msg['from'] = srcDid msg['thing'] = thingDid msg['subject'] = "Lose something?" msg['content'] = "Look what I found" mser = json.dumps(msg, indent=2) msig = keyToKey64u(libnacl.crypto_sign(mser.encode("utf-8"), srcSk)[:libnacl.crypto_sign_BYTES]) key = "{}/drop/{}/{}".format(dstDid, srcDid, muid) assert key == ("did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=" "/drop/did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=" "/m_00035d2976e6a000_26ace93") dbing.putSigned(key=key, ser=mser, sig=msig) # now get it from web service dstDidUri = falcon.uri.encode_value(dstDid) srcDidUri = falcon.uri.encode_value(srcDid) rep = client.get("/agent/{}/drop?from={}&uid={}".format(dstDidUri, srcDidUri, muid)) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == msig assert rep.body == ( '{\n' ' "uid": "m_00035d2976e6a000_26ace93",\n' ' "kind": "found",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0",\n' ' "date": "2000-01-03T00:00:00+00:00",\n' ' "to": "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=",\n' ' "from": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "thing": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "subject": "Lose something?",\n' ' "content": "Look what I found"\n' '}') assert verify64u(msig, rep.body, keyToKey64u(srcVk)) cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_post_ThingDidOffer(client): # client is a fixture in pytest_falcon """ Test POST offer of thing. offer request fields { "thing": thingDID, "aspirant": AgentDID, "duration": timeinsecondsofferisopen, } offer response fields { "thing": thingDID, "aspirant": AgentDID, "duration": timeinsecondsofferisopen, "expiration": datetimeofexpiration, "signer": serverkeydid, "offerer": ownerkeydid, "offer": Base64serrequest } """ print("Testing POST /thing/{did}/offer") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did agents, things = setupTestDbAgentsThings() agents['sam'] = (kdid, keeper.verkey, keeper.sigkey) # sam the server for did, vk, sk in agents.values(): dat, ser, sig = dbing.getSelfSigned(did) assert dat is not None assert dat['did'] == did for did, vk, sk in things.values(): dat, ser, sig = dbing.getSigned(did) assert dat is not None assert dat['did'] == did setupTestPriorOffer(agents=agents, things=things, ago=600.0) # to test that it checks for priors sDid, sVk, sSk = agents['sam'] # server keys # post offer Ivy to Ann hDid, hVk, hSk = agents['ivy'] aDid, aVk, aSk = agents['ann'] tDid, tVk, tSk = things['cam'] assert tDid == "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=" signer = "{}#0".format(hDid) assert signer == "did:igo:dZ74MLZXD-1QHoa73w9pQ9GroAvxqFi2RTZWlkC0raY=#0" #dt = datetime.datetime(2000, 1, 3, tzinfo=datetime.timezone.utc) #stamp = dt.timestamp() # make time.time value #ouid = timing.tuuid(stamp=stamp, prefix="o") ouid = "o_00035d2976e6a000_26ace93" offer = ODict() offer['uid'] = ouid offer['thing'] = tDid offer['aspirant'] = aDid offer['duration'] = PROPAGATION_DELAY * 2.0 oser = json.dumps(offer, indent=2) assert oser == ( '{\n' ' "uid": "o_00035d2976e6a000_26ace93",\n' ' "thing": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "aspirant": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=",\n' ' "duration": 120.0\n' '}') osig = keyToKey64u(libnacl.crypto_sign(oser.encode("utf-8"), hSk)[:libnacl.crypto_sign_BYTES]) assert osig == 'EhsfS2_4LSVjDMo_QShvciNr6aYf5ut8NuFkBugxL748vlOs1YF971aPIckmtRRAFzby07hY0Ny-7xs27-wXCw==' dt = datetime.datetime.now(tz=datetime.timezone.utc) tDidUri = falcon.uri.encode_value(tDid) headers = {"Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}"'.format(osig)} body = oser # client.post encodes the body rep = client.post('/thing/{}/offer'.format(tDidUri), body=body, headers=headers) assert rep.status == falcon.HTTP_201 assert rep.headers['content-type'] == 'application/json; charset=UTF-8' location = falcon.uri.decode(rep.headers['location']) assert location == "/thing/{}/offer?uid={}".format(tDid, ouid) expiration = rep.json['expiration'] edt = arrow.get(expiration) assert edt > dt offer = rep.json offser = rep.body assert offer['offerer'].startswith(hDid) assert offer['signer'].startswith(sDid) # now get it from web service rep = client.get(rep.headers['location']) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep.headers['signature']) ssig = sigs['signer'] # signature changes everytime because expiration changes assert rep.json == offer assert rep.body == offser assert verify64u(ssig, rep.body, keyToKey64u(sVk)) cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_get_ThingDidOffer(client): # client is a fixture in pytest_falcon """ Test GET offer of thing. offer request fields { "thing": thingDID, "aspirant": AgentDID, "duration": timeinsecondsofferisopen, } offer response fields { "thing": thingDID, "aspirant": AgentDID, "duration": timeinsecondsofferisopen, "expiration": datetimeofexpiration, "signer": serverkeydid, "offerer": ownerkeydid, "offer": Base64serrequest } """ print("Testing GET /thing/{did}/offer?uid=") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did agents, things = setupTestDbAgentsThings() agents['sam'] = (kdid, keeper.verkey, keeper.sigkey) # sam the server for did, vk, sk in agents.values(): dat, ser, sig = dbing.getSelfSigned(did) assert dat is not None assert dat['did'] == did for did, vk, sk in things.values(): dat, ser, sig = dbing.getSigned(did) assert dat is not None assert dat['did'] == did sDid, sVk, sSk = agents['sam'] # server keys # post offer Ivy to Ann hDid, hVk, hSk = agents['ivy'] aDid, aVk, aSk = agents['ann'] tDid, tVk, tSk = things['cam'] #dt = datetime.datetime(2000, 1, 3, tzinfo=datetime.timezone.utc) #stamp = dt.timestamp() # make time.time value #ouid = timing.tuuid(stamp=stamp, prefix="o") ouid = "o_00035d2976e6a000_26ace93" duration = PROPAGATION_DELAY * 2.0 offerer = "{}#0".format(hDid) # ivy is offerer # build prior request offer for saved offer poffer = ODict() poffer['uid'] = ouid poffer['thing'] = tDid poffer['aspirant'] = aDid poffer['duration'] = duration poser = json.dumps(poffer, indent=2) # now build offer in database odat = ODict() odat['uid'] = ouid odat['thing'] = tDid odat['aspirant'] = aDid odat['duration'] = duration dt = datetime.datetime.now(tz=datetime.timezone.utc) # go back 10 minutes td = datetime.timedelta(seconds=10 * 60) odt = dt - td td = datetime.timedelta(seconds=duration) expiration = timing.iso8601(odt + td, aware=True) odat["expiration"] = expiration signer = "{}#0".format(sDid) # server sam signs assert signer == "did:igo:Xq5YqaL6L48pf0fu7IUhL0JRaU2_RxFP0AL43wYn148=#0" odat["signer"] = signer odat["offerer"] = offerer odat["offer"] = keyToKey64u(poser.encode("utf-8")) oser = json.dumps(odat, indent=2) osig = keyToKey64u(libnacl.crypto_sign(oser.encode("utf-8"), sSk)[:libnacl.crypto_sign_BYTES]) key = "{}/offer/{}".format(tDid, ouid) # save offer to database, raise error if duplicate dbing.putSigned(key=key, ser=oser, sig=osig, clobber=False) # no clobber so error # save entry to offer expires table result = dbing.putDidOfferExpire(did=tDid, ouid=ouid, expire=expiration) # now get it from web service by uid tDidUri = falcon.uri.encode_value(tDid) location = "/thing/{}/offer?uid={}".format(tDidUri, ouid) rep = client.get(location) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep.headers['signature']) ssig = sigs['signer'] # signature changes everytime because expiration changes assert rep.json == odat assert rep.body == oser assert verify64u(ssig, rep.body, keyToKey64u(sVk)) # now get list of all offers from web service tDidUri = falcon.uri.encode_value(tDid) location = "/thing/{}/offer?all=true".format(tDidUri) rep = client.get(location) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert len(rep.json) == 1 offering = rep.json[-1] assert offering['uid'] == ouid assert offering['uid'] == 'o_00035d2976e6a000_26ace93' # now get list of lastest offer from web service tDidUri = falcon.uri.encode_value(tDid) location = "/thing/{}/offer?latest=true".format(tDidUri) rep = client.get(location) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert len(rep.json) == 1 offering = rep.json[0] assert offering['uid'] == ouid assert offering['uid'] == 'o_00035d2976e6a000_26ace93' cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def setupTestPriorOffer(agents, things, ago=600.0): """ Utility function to create prior offer in database at ago seconds in the past. Agents and things are ODicts of Agents and things in database offer request fields { "thing": thingDID, "aspirant": AgentDID, "duration": timeinsecondsofferisopen, } offer response fields { "thing": thingDID, "aspirant": AgentDID, "duration": timeinsecondsofferisopen, "expiration": datetimeofexpiration, "signer": serverkeydid, "offerer": ownerkeydid, "offer": Base64serrequest } """ # Assumes database setup dbEnv = dbing.gDbEnv keeper = keeping.gKeeper sDid, sVk, sSk = agents['sam'] # server keys # post offer Ivy to Ann to transfer cam hDid, hVk, hSk = agents['ivy'] aDid, aVk, aSk = agents['ann'] tDid, tVk, tSk = things['cam'] dt = datetime.datetime.now(tz=datetime.timezone.utc) # go back ago seconds td = datetime.timedelta(seconds=ago) odt = dt - td stamp = odt.timestamp() # make time.time value ouid = timing.tuuid(stamp=stamp, prefix="o") duration = PROPAGATION_DELAY * 2.0 offerer = "{}#0".format(hDid) # ivy is offerer # build prior request offer for saved offer poffer = ODict() poffer['uid'] = ouid poffer['thing'] = tDid poffer['aspirant'] = aDid poffer['duration'] = duration poser = json.dumps(poffer, indent=2) # now build offer in database odat = ODict() odat['uid'] = ouid odat['thing'] = tDid odat['aspirant'] = aDid odat['duration'] = duration td = datetime.timedelta(seconds=duration) expiration = timing.iso8601(odt + td, aware=True) odat["expiration"] = expiration signer = "{}#0".format(sDid) # server sam signs odat["signer"] = signer odat["offerer"] = offerer odat["offer"] = keyToKey64u(poser.encode("utf-8")) oser = json.dumps(odat, indent=2) osig = keyToKey64u(libnacl.crypto_sign(oser.encode("utf-8"), sSk)[:libnacl.crypto_sign_BYTES]) key = "{}/offer/{}".format(tDid, ouid) # save offer to database, raise error if duplicate dbing.putSigned(key=key, ser=oser, sig=osig, clobber=False) # no clobber so error # save entry to offer expires table result = dbing.putDidOfferExpire(did=tDid, ouid=ouid, expire=expiration) return (tDid, ouid) def test_post_ThingDidAccept(client): # client is a fixture in pytest_falcon """ Test POST to thing/did/accept with parameter offer uid. """ global store # use Global store print("Testing POST /thing/{did}/accept?uid={ouid}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did # create local test server valet = Valet(port=8101, bufsize=131072, store=store, app=exapp,) result = valet.open() assert result assert valet.servant.ha == ('0.0.0.0', 8101) assert valet.servant.eha == ('127.0.0.1', 8101) agents, things = setupTestDbAgentsThings() agents['sam'] = (kdid, keeper.verkey, keeper.sigkey) # sam the server for did, vk, sk in agents.values(): dat, ser, sig = dbing.getSelfSigned(did) assert dat is not None assert dat['did'] == did for did, vk, sk in things.values(): dat, ser, sig = dbing.getSigned(did) assert dat is not None assert dat['did'] == did sDid, sVk, sSk = agents['sam'] # server keys # post offer Ivy to Ann hDid, hVk, hSk = agents['ivy'] aDid, aVk, aSk = agents['ann'] tDid, tVk, tSk = things['cam'] odid, ouid = setupTestPriorOffer(agents=agents, things=things, ago=10.0) # to test that it checks for priors assert odid == tDid # We now have thing in database with offer from ivy to ann # get think resource and change it to have ann as signer tdat, tser, tsig = dbing.getSigned(tDid) # now change signer field to ann as signer index = 0 signer = "{}#{}".format(aDid, index) # signer field value key at index assert signer == 'did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0' tdat['signer'] = signer # change hid field tdat['hid'] = "hid:dns:localhost#03" atser = json.dumps(tdat, indent=2) assert atser == ( '{\n' ' "did": "did:igo:4JCM8dJWw_O57vM4kAtTt0yWqSgBuwiHpVgd55BioCM=",\n' ' "hid": "hid:dns:localhost#03",\n' ' "signer": "did:igo:Qt27fThWoNZsa88VrTkep6H-4HA8tr54sHON1vWl6FE=#0",\n' ' "changed": "2000-01-01T00:00:00+00:00",\n' ' "data": {\n' ' "keywords": [\n' ' "Canon",\n' ' "EOS Rebel T6",\n' ' "251440"\n' ' ],\n' ' "message": "If found please return."\n' ' }\n' '}') # now sign atsig = keyToKey64u(libnacl.crypto_sign(atser.encode("utf-8"), aSk)[:libnacl.crypto_sign_BYTES]) assert atsig == 'm64m1gS1vh3hONpDbbz1MC9Lc412MYtC_H9K-IkMSucTJmqoTAklmg8Q7h3XtAHT-N4RhJmAqsVsjDqPos-zBA==' # now post to accept offer with new thing resource using web service headers = {"Content-Type": "text/html; charset=utf-8", "Signature": 'signer="{}"'.format(atsig)} body = atser # client.post encodes the body # patron url quotes path for us so don't quote before path = "http://{}:{}/thing/{}/accept".format('localhost', valet.servant.eha[1], tDid) qargs = ODict(uid=ouid) # instantiate Patron client patron = Patron(bufsize=131072, store=store, method = 'POST', path=path, headers=headers, qargs=qargs, body=body, reconnectable=True,) patron.transmit() timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) rep = patron.respond() assert rep assert rep.status == 201 assert rep.reason == 'Created' assert rep.headers['content-type'] == 'application/json; charset=UTF-8' location = falcon.uri.decode(rep.headers['location']) assert location == "/thing/{}".format(tDid) assert rep.data == tdat # verify that its in database vdat, vser, vsig = dbing.getSigned(tDid) assert vdat == tdat assert vser == atser assert vsig == atsig # now get it from web service headers = odict([('Accept', 'application/json'), ('Content-Length', 0)]) patron.request(method='GET', path=location, headers=headers) timer = timing.StoreTimer(store, duration=1.0) while (patron.requests or patron.connector.txes or not patron.responses or not valet.idle()): valet.serviceAll() time.sleep(0.05) patron.serviceAll() time.sleep(0.05) store.advanceStamp(0.1) rep = patron.respond() assert rep assert rep.status == 200 assert rep.headers['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep.headers['signature']) assert sigs['signer'] == atsig assert rep.data == tdat assert rep.body.decode() == atser assert verify64u(atsig, rep.body.decode(), keyToKey64u(aVk)) cleanupTmpBaseDir(dbEnv.path()) valet.close() patron.close() print("Done Test") def test_post_Anon(client): # client is a fixture in pytest_falcon """ Test POST to /anon?uid={}. Post body is anon message { uid: "AQIDBAoLDA0=", # base64 url safe of 8 byte eid content: "EjRWeBI0Vng=", # base64 url safe of 8 byte location date: "2000-01-01T00:36:00+00:00", # ISO-8601 creation date of anon gateway time } uid is up 32 bytes if anon ephemeral ID in base64 url safe content is message up to 256 bytes if location string in base 64 url safe date is iso8601 datetime This is augmented with server time stamp and stored in database { create: 1501774813367861, # creation in server time microseconds since epoch expire: 1501818013367861, # expiration in server time microseconds since epoch anon: { uid: "AQIDBAoLDA0=", # base64 url safe of 8 byte eid content: "EjRWeBI0Vng=", # base64 url safe of 8 byte location date: "2000-01-01T00:36:00+00:00", # ISO-8601 creation date of anon gateway time } } """ print("Testing POST ") priming.setupTest() dbEnv = dbing.gDbEnv dt = datetime.datetime(2000, 1, 1, minute=30, tzinfo=datetime.timezone.utc) #stamp = dt.timestamp() # make time.time value # local time td = datetime.timedelta(seconds=5) date = timing.iso8601(dt=dt+td, aware=True) assert date == '2000-01-01T00:30:05+00:00' uid = 'AQIDBAoLDA0=' content = 'EjRWeBI0Vng=' anon = ODict() anon['uid'] = uid anon['content'] = content anon['date'] = date assert anon == { "uid": "AQIDBAoLDA0=", "content": "EjRWeBI0Vng=", "date": "2000-01-01T00:30:05+00:00", } tser = json.dumps(anon, indent=2) # now post anon headers = {"Content-Type": "text/html; charset=utf-8"} body = tser # client.post encodes the body rep = client.post('/anon', body=body, headers=headers) assert rep.status == falcon.HTTP_201 assert rep.headers['content-type'] == 'application/json; charset=UTF-8' location = falcon.uri.decode(rep.headers['location']) assert location == "/anon?uid={}".format(uid) data = rep.json assert data['anon'] == anon create = rep.json['create'] expire = rep.json['expire'] assert expire > create # verify that anon is in database entries = dbing.getAnonMsgs(uid) assert entries[0] == data #verify expiration in its database entries = dbing.getExpireUid(expire) assert entries[0] == uid # now get it from web service rep = client.get(rep.headers['location']) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.json[0] == data # now uid list all from web service rep = client.get("/anon?all=true") assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' assert rep.json[0] == uid cleanupTmpBaseDir(dbEnv.path()) print("Done Test") def test_get_CheckHid(client): # client is a fixture in pytest_falcon """ Test GET /demo/check?did={}&check={} response fields { signer: keyedsignerkeyfromagent, check: did|issuer|date } """ print("Testing GET /demo/check?did={}&check={}") priming.setupTest() dbEnv = dbing.gDbEnv keeper = keeping.gKeeper kdid = keeper.did agents, things = setupTestDbAgentsThings() agents['sam'] = (kdid, keeper.verkey, keeper.sigkey) # sam the server sDid, sVk, sSk = agents['sam'] hDid, hVk, hSk = agents['ivy'] aDid, aVk, aSk = agents['ann'] tDid, tVk, tSk = things['cam'] iDid, iVk, iSk = agents['ike'] # issuer keys dt = datetime.datetime(2000, 1, 3, tzinfo=datetime.timezone.utc) did = iDid assert did == "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=" dat, ser, sig = dbing.getSelfSigned(did) date = timing.iso8601(dt, aware=True) assert date == '2000-01-03T00:00:00+00:00' issuer = dat['issuants'][0]['issuer'] assert issuer == "localhost" check = "{}|{}|{}".format(did, issuer, date) assert check == "did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=|localhost|2000-01-03T00:00:00+00:00" # now get it from web service didUri = falcon.uri.encode_value(did) checkUri = falcon.uri.encode_value(check) location = "/demo/check?did={}&check={}".format(didUri, checkUri) rep = client.get(location) assert rep.status == falcon.HTTP_OK assert rep.headers['content-type'] == 'application/json; charset=UTF-8' sigs = parseSignatureHeader(rep.headers['signature']) ssig = sigs['signer'] # signature changes everytime because expiration changes assert ssig == 'efIU4jplMtZzjgaWc85gLjJpmmay6QoFvApMuinHn67UkQZ2it17ZPebYFvmCEKcd0weWQONaTO-ajwQxJe2DA==' assert rep.json == {'check': 'did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=|localhost|2000-01-03T00:00:00+00:00', 'signer': 'did:igo:3syVH2woCpOvPF0SD9Z0bu_OxNe2ZgxKjTQ961LlMnA=#0'} assert rep.json['check'] == check sdid, sindex, keystr = extractDidSignerParts(rep.json['signer']) assert keystr == dat['keys'][sindex]['key'] assert sindex == 0 assert keystr == keyToKey64u(iVk) assert verify64u(ssig, rep.json['check'], keystr) cleanupTmpBaseDir(dbEnv.path()) print("Done Test")

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0.835566

0.811304

0.77939

0.765652

0.741613

0.729233

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0.061357

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96,826

2,810

137

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0.130812

0

0.758333

0

0.017188

0.287993

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0

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false

0

0.016146

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0

null

0

1

0

1

0

null

0

7

d42c29bc797f28d92830d4fd624fe88937b337e7

10,002

py

Python

Scripts/bgp-peers.py

BeTheMike/Meandering-Python

5c57597e292e7530739bf9f8b649a82e3f1ca0cf

[ "Apache-2.0" ]

null

Scripts/bgp-peers.py

BeTheMike/Meandering-Python

5c57597e292e7530739bf9f8b649a82e3f1ca0cf

[ "Apache-2.0" ]

null

Scripts/bgp-peers.py

BeTheMike/Meandering-Python

5c57597e292e7530739bf9f8b649a82e3f1ca0cf

[ "Apache-2.0" ]

1

2018-06-16T22:41:02.000Z

import re import sys import socket import getpass from lxml import etree import jxmlease from jnpr.junos import Device def ip_lookup(user_input): pat = re.compile("^\d{1,3}\.\d{1,3}\.\d{1,3}\.\d{1,3}$") lookup_ip = pat.match(user_input) if lookup_ip: print('Looking up: ', rev_dns((lookup_ip))) return lookup_ip else: try: lookup_ip = socket.gethostbyname(user_input) print("Looking for: ", user_input, "IP - ", lookup_ip) return lookup_ip except socket.gaierror: print("") print("No DNS Entry exists for that host - exiting script") print("") sys.exit(1) def rev_dns(ip_address): try: #ip_address = "'{}'".format(ip_address) return socket.gethostbyaddr(ip_address)[0] except: #ip_address = "'{}'".format(ip_address) return ip_address def local_ip_clean(local_ip): try: str = local_ip.split("+") return str[0] except: return local_ip def peer_status(status): if status == 'Connect': return 'Con' elif status == 'Active': return 'Act' elif status == 'Established': return 'Est' else: return (status) def my_Sort(s): return s[-3:] def peer_full(): try: # Log into the switch hostname = ip_lookup(input('IP or Hostname of device: ')) username = input('Username: ') password = getpass.getpass('Password: ') dev = Device(host=hostname, user=username, passwd=password, gather_facts=False) dev.open() conf = dev.rpc.get_config() conf_parsed = jxmlease.parse(etree.tostring(conf, encoding='unicode')) routing_instances = [] try: for r_instance in conf_parsed['configuration']['routing-instances']['instance']: routing_instances.append((r_instance['name'].get_cdata())) except: routing_instances.append('Empty') sorted_instances = sorted(routing_instances, key=my_Sort) for instance in sorted_instances: if 'Empty' not in sorted_instances: try: rpc = dev.rpc.get_bgp_summary_information(instance=instance) result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) print('Routing Instance: ', instance) for neighbor in result['bgp-information']['bgp-peer']: print(neighbor['peer-as'] + ":" + rev_dns(neighbor['peer-address']) + '({})'.format( neighbor['peer-address']), "[" + peer_status(neighbor['peer-state']), neighbor['elapsed-time'] + "]") else: pass except: pass else: rpc = dev.rpc.get_bgp_summary_information() result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: print(neighbor['peer-as'] + ":" + rev_dns(neighbor['peer-address']), "[" + peer_status(neighbor['peer-state']), neighbor['elapsed-time'] + "]") dev.close() except: sys.exit('Bad password. Exiting') def peer24h(): try: # Log into the switch hostname = input('IP or Hostname of device: ') username = input('Username: ') password = getpass.getpass('Password: ') dev = Device(host=hostname, user=username, passwd=password, gather_facts=False) dev.open() print('\n'*3) print('This may take a second...') print('\n'*3) conf = dev.rpc.get_config() conf_parsed = jxmlease.parse(etree.tostring(conf, encoding='unicode')) routing_instances = [] try: for r_instance in conf_parsed['configuration']['routing-instances']['instance']: routing_instances.append((r_instance['name'].get_cdata())) except: routing_instances.append('Empty') sorted_instances = sorted(routing_instances, key=my_Sort) clean_instances = [] for instance in sorted_instances: if 'Empty' not in sorted_instances: try: rpc = dev.rpc.get_bgp_summary_information(instance=instance) result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: if 'd' not in neighbor['elapsed-time']: clean_instances.append(instance) except: pass else: rpc = dev.rpc.get_bgp_summary_information() result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: if 'd' not in neighbor['elapsed-time']: print(neighbor['peer-as'] + ":" + rev_dns(neighbor['peer-address']), "[" + peer_status(neighbor['peer-state']), neighbor['elapsed-time'] + "]") final_instances = (list(set(clean_instances))) sorted_final_instances = sorted(final_instances, key=my_Sort) for instance in sorted_final_instances: if not sorted_final_instances: pass else: print('Routing Instance: ', instance) rpc = dev.rpc.get_bgp_summary_information(instance=instance) result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: if 'd' not in neighbor['elapsed-time']: print(neighbor['peer-as'] + ":" + rev_dns(neighbor['peer-address']) + '({})'.format( neighbor['peer-address']), "[" + peer_status(neighbor['peer-state']), neighbor['elapsed-time'] + "]") else: pass dev.close() except: sys.exit('Bad password. Exiting') def peer_established(): try: # Log into the switch hostname = input('IP or Hostname of device: ') username = input('Username: ') password = getpass.getpass('Password: ') dev = Device(host=hostname, user=username, passwd=password, gather_facts=False) dev.open() print('\n'*3) print('This may take a sec...') print('\n'*3) conf = dev.rpc.get_config() conf_parsed = jxmlease.parse(etree.tostring(conf, encoding='unicode')) routing_instances = [] try: for r_instance in conf_parsed['configuration']['routing-instances']['instance']: routing_instances.append((r_instance['name'].get_cdata())) except: routing_instances.append('Empty') sorted_instances = sorted(routing_instances, key=my_Sort) clean_instances = [] for instance in sorted_instances: if 'Empty' not in sorted_instances: try: rpc = dev.rpc.get_bgp_summary_information(instance=instance) result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: if 'Established' not in neighbor['peer-state']: clean_instances.append(instance) else: pass except: pass else: rpc = dev.rpc.get_bgp_summary_information() result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: if 'Established' not in neighbor['peer-state']: print(neighbor['peer-as'] + ":" + rev_dns(neighbor['peer-address']), "[" + peer_status(neighbor['peer-state']), neighbor['elapsed-time'] + "]") final_instances = (list(set(clean_instances))) sorted_final_instances = sorted(final_instances, key=my_Sort) for instance in sorted_final_instances: if not sorted_final_instances: pass else: print('Routing Instance: ', instance) rpc = dev.rpc.get_bgp_summary_information(instance=instance) result = jxmlease.parse(etree.tostring(rpc, pretty_print=True, encoding='unicode')) for neighbor in result['bgp-information']['bgp-peer']: if 'Established' not in neighbor['peer-state']: print(neighbor['peer-as'] + ":" + rev_dns(neighbor['peer-address']) + '({})'.format( neighbor['peer-address']), "[" + peer_status(neighbor['peer-state']), neighbor['elapsed-time'] + "]") else: pass dev.close() except: sys.exit('Bad password. Exiting') def main(): choice = '0' while choice =='0': print('1. Full BGP Peers\n2. Partial - Non-Established Only\n3. Partial - Less Than 24 Hours\n4. Exit') choice = input("Please select an option: ") if choice == '4': sys.exit('Exiting Script') elif choice == '3': peer24h() elif choice == '2': peer_established() elif choice == '1': peer_full() else: print("Please pick a valid option") if __name__ == '__main__': main()

38.321839

111

0.542591

1,036

10,002

5.089768

0.143822

0.054618

0.018775

0.054239

0.809406

0.801062

0.784563

0.774322

0

0.004792

0.332334

10,002

260

112

38.469231

0.784816

0.013597

0

0.733945

0

0.009174

0.148768

0.003651

0

1

0.041284

false

0.087156

0.03211

0.004587

0.123853

0.137615

0

null

0

1

0

1

0

null

0

1

0

8

d46ca4af3a4ef89a8bccdaa00867d03139c55456

627

py

Python

tests/exception/__init__.py

isabella232/app-passwords

eb6e377b4005a80c263ea36dc5e97234c4f3a7af

[ "Apache-2.0" ]

27

2017-03-06T02:52:59.000Z

2018-07-17T22:14:21.000Z

tests/exception/__init__.py

LedgerHQ/app-passwords

06d0795fd1025705db5d621d1e460d8b4dc92f34

[ "Apache-2.0" ]

23

2020-11-14T19:43:08.000Z

2022-02-24T00:33:53.000Z

tests/exception/__init__.py

isabella232/app-passwords

eb6e377b4005a80c263ea36dc5e97234c4f3a7af

[ "Apache-2.0" ]

6

2021-04-13T19:00:18.000Z

2022-03-06T06:33:21.000Z

from .device_exception import DeviceException from .types import (UnknownDeviceError, WrongP1P2Error, WrongDataLengthError, InsNotSupportedError, ClaNotSupportedError, AppNameTooLongError, ActionCancelledError, MetadatasParsingError) __all__ = [ "DeviceException", "UnknownDeviceError", "WrongP1P2Error", "WrongDataLengthError", "InsNotSupportedError", "ClaNotSupportedError", "AppNameTooLongError", "ActionCancelledError", "MetadatasParsingError" ]

28.5

45

0.60925

26

627

14.5

0.576923

0.169761

0.275862

0.381963

0.806366

0

0.009479

0.326954

627

21

46

29.857143

0.883886

0

0.266348

0.033493

0

1

0

false

0

0.1

0

0.1

0

1

0

1

null

0

1

0

null

0

8

d4884402cbe838b412b811a34f60fb065fe9e0c1

25,064

py

Python

structureimpute/explore/test.py

Tsinghua-gongjing/StructureImpute

59e33e913998a8841c2cb552828f0f0cc19ebc21

[ "MIT" ]

9

2021-11-17T11:27:41.000Z

2022-03-04T10:27:37.000Z

structureimpute/explore/test.py

Tsinghua-gongjing/StructureImpute

59e33e913998a8841c2cb552828f0f0cc19ebc21

[ "MIT" ]

null

structureimpute/explore/test.py

Tsinghua-gongjing/StructureImpute

59e33e913998a8841c2cb552828f0f0cc19ebc21

[ "MIT" ]

null

import pandas as pd import numpy as np import util import subprocess import generate_data_set # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation.txt' # rpkm = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.exp_vs_null.txt' # # fragment_data_split_by_rpkm(fragment, rpkm) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train_randomNULL.txt' # rpkm = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.exp_vs_null.txt' # fragment_data_split_by_rpkm(fragment, rpkm) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validationNoRandom.txt' # np.random.seed(1234) # util.data_random_null(fragment, null_pct=0.1) # util.data_random_null(fragment, null_pct=0.2) # util.data_random_null(fragment, null_pct=0.3) # util.data_random_null(fragment, null_pct=0.4) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo_rRNA/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.fulllength18S.validation.txt' # np.random.seed(1234) # util.fragment_split(fragment=fragment, train_frac=0.8) # util.data_random_null(fragment, null_pct=0.1, col=9) # util.data_random_null(fragment, null_pct=0.15, col=9) # util.data_random_null(fragment, null_pct=0.2, col=9) # util.data_random_null(fragment, null_pct=0.25, col=9) # util.data_random_null(fragment, null_pct=0.3, col=9) # util.data_random_null(fragment, null_pct=0.35, col=9) # util.data_random_null(fragment, null_pct=0.4, col=9) # util.data_random_null(fragment, null_pct=0.45, col=9) # util.data_random_null(fragment, null_pct=0.5, col=9) # fragment = '/data/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_x10_then_pct30_maxL20/windowLen100.sliding100.trainx10.txt' # np.random.seed(1234) # util.data_random_null(fragment, null_pct=0.3, col=9) # for i in ['hek_ch_vivo', 'hek_cy_vivo', 'hek_np_vivo', 'hek_wc_vitro']: # fragment = '/home/gongjing/project/shape_imputation/data/{}/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull.inwc6205.txt'.format(i) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull.inwc6205.txt' # fragment = '/home/gongjing/project/shape_imputation/data/mes_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.train+validation_truenull.txt' # fragment = '/home/gongjing/project/shape_imputation/data/mes_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.validation_truenull_rmnull.txt' # np.random.seed(1234) # savefn = fragment.replace('truenull', 'truenull_randomNULL0.3') # util.data_random_null(fragment, null_pct=0.3, col=9, savefn=savefn) # seed_ls = [1234, 9999, 5678, 12315, 400100, 42, 1113, 2019, 19930426, 19491001] # seed_ls = [1, 67789, 83920001, 20200202, 7381910, 987, 92029, 18273, 29191, 5362] # seed_ls = [567, 3412, 9090, 20148, 191901, 90901, 782716, 9101919, 19181918, 27181910] # for seed in seed_ls: # np.random.seed(seed) # # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo_30/3.shape/shape.c200T2M0m0.out.windowsHasNull/random_null/windowLen100.sliding100.valid_both.selflabel.train_truenull.txt' # fragment = '/home/gongjing/project/shape_imputation/data/hek_np_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/random_null/windowLen100.sliding100.train_truenull.txt' # savefn=fragment.replace('.txt', '.random0.1.s{}.txt'.format(seed)) # util.data_random_null(fragment, null_pct=0.1, col=9, savefn=savefn) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen50.sliding50.txt' # util.fragment_to_format_data(fragment=fragment, fragment_len=50, split=1, dataset='train') # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.txt' # util.fragment_split(fragment=fragment, train_frac=0.8) out = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out' # generate_data_set.generate_windows(out=out, window_len_ls=[100], sliding_ls=[10], species='human', all_valid_reactivity=1, null_pct_max=0.9) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding10.txt' # np.random.seed(1234) # fragment_train,fragment_validate = util.fragment_split(fragment=fragment, train_frac=0.7, cols=8) # util.data_random_null(fragment_train, null_pct=0.3, col=9, savefn=None) # util.data_random_null(fragment_validate, null_pct=0.3, col=9, savefn=None) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding10.blastn.validation.txt', null_pct=0.3, col=8, savefn=None) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.valid_both.txt' # util.fragment_split(fragment=fragment, train_frac=0.7, cols=9) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.valid_both.train_truenull.txt', null_pct=0.2, col=9) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.valid_both.validation_truenull.txt', null_pct=0.2, col=9) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.allvalid.txt' # util.fragment_split(fragment=fragment, train_frac=0.7, cols=9) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.allvalid.train_truenull.txt', null_pct=0.1, col=9) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.allvalid.validation_truenull.txt', null_pct=0.1, col=9) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.valid_both.txt' # util.fragment_split(fragment=fragment, train_frac=0.7, cols=9) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.valid_both.train_truenull.txt', null_pct=0.1, col=9) # util.data_random_null('/home/gongjing/project/shape_imputation/data/hek_wc_vivo_50/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.valid_both.validation_truenull.txt', null_pct=0.1, col=9) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_random/windowLen100.sliding100.train.txt' # np.random.seed(1234) # savefn=fragment.replace('.txt', '.{}.txt'.format(1234)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(9999) # savefn=fragment.replace('.txt', '.{}.txt'.format(9999)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(5678) # savefn=fragment.replace('.txt', '.{}.txt'.format(5678)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(12315) # savefn=fragment.replace('.txt', '.{}.txt'.format(12315)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(400100) # savefn=fragment.replace('.txt', '.{}.txt'.format(400100)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(42) # savefn=fragment.replace('.txt', '.{}.txt'.format(42)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(1113) # savefn=fragment.replace('.txt', '.{}.txt'.format(1113)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(2019) # savefn=fragment.replace('.txt', '.{}.txt'.format(2019)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(19930426) # savefn=fragment.replace('.txt', '.{}.txt'.format(19930426)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # np.random.seed(19491001) # savefn=fragment.replace('.txt', '.{}.txt'.format(19491001)) # util.data_random_null(fragment, null_pct=0.1, col=8, savefn=savefn) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_randomnullfragment/windowLen100.sliding100.train.txt' # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_randomnullfragment/windowLen100.sliding100.validation.txt' # np.random.seed(1234) # savefn=fragment.replace('.txt', '.1perfragmentL{}.S{}.txt'.format(5, 1234)) # util.data_random_nullfragament(fragment, null_pct=0.1, col=8, savefn=savefn, mode='1perfragment', null_len=5, window_len=100) # seed_ls = [1234, 9999, 5678, 12315, 400100, 42, 1113, 2019, 19930426, 19491001] # null_len_ls = [5,10,15,20] # for seed in seed_ls: # for null_len in null_len_ls: # np.random.seed(seed) # savefn=fragment.replace('.txt', '.1perfragmentL{}.S{}.txt'.format(null_len, seed)) # util.data_random_nullfragament(fragment, null_pct=0.1, col=8, savefn=savefn, mode='1perfragment', null_len=null_len, window_len=100) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/random_null/windowLen100.sliding100.validation_truenull.txt' # fragment = '/home/gongjing/project/shape_imputation/data/hek_cy_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/random_null/windowLen100.sliding100.train_truenull.txt' # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding10.random/windowLen100.sliding10.blastn.validation.txt' # seed_ls = [1234,9999, 5678, 12315, 400100, 42, 1113, 2019, 19930426, 19491001] # max_null_len_ls = [20]#[10, 20, 40]# [10, 20]# # null_pct_ls = [0.3]#[0.3, 0.2, 0.1]#[0.3, 0.2, 0.1] # for seed in seed_ls: # for max_null_len in max_null_len_ls: # for null_pct in null_pct_ls: # np.random.seed(seed) # savefn=fragment.replace('.txt', '.randomNperfragmentNullPct{}.maxL{}.S{}.txt'.format(null_pct, max_null_len, seed)) # util.data_random_nullfragament(fragment, null_pct=null_pct, col=9, savefn=savefn, mode='randomNperfragment', null_len=5, window_len=100, max_null_len=max_null_len) # sample_ls = ['22_trainLossall', '23_trainLossall_Gmultiply', '24_trainLossall_biLSTM', '25_trainLossall_biLSTMHid256', '26_trainLossall_biLSTMLay3', '27_trainLossall_biLSTMHid256Lay3', '28_trainLossall_LR0001', '29_trainLossall_LR0001_rep2'] # sample_ls = ['40_trainLossall_GmultiplyX_noise2'] # sample_ls = ['35_trainLossall_GmultiplyX_channel','38_trainLossall_GmultiplyX_biLSTMHid256Lay3','37_trainLossall_GmultiplyX_biLSTMLay3','36_trainLossall_GmultiplyX_biLSTMHid256','32_trainLossall_GmultiplyX_meswc'] # for sample in sample_ls: # log = '/home/gongjing/project/shape_imputation/exper/{}/log.txt'.format(sample) # util.read_log(log=log, savefn=log.replace('log.txt', 'loss.pdf')) # generate noise data, not include original batch # fragment = '/home/gongjing/project/shape_imputation/data/mes_wc_vivo/3.shape/c200T2/w100s100.train_null0.1.txt' # savefn = fragment.replace('.txt','.noise2.txt') # util.data_add_noise(fragment=fragment, ratio=2, col=7, seed=1234, savefn=savefn, noise=0.05) # savefn = fragment.replace('.txt','.noise3.txt') # util.data_add_noise(fragment=fragment, ratio=3, col=7, seed=1234, savefn=savefn, noise=0.05) # savefn = fragment.replace('.txt','.noise4.txt') # util.data_add_noise(fragment=fragment, ratio=4, col=7, seed=1234, savefn=savefn, noise=0.05) # savefn = fragment.replace('.txt','.noise5.txt') # util.data_add_noise(fragment=fragment, ratio=5, col=7, seed=1234, savefn=savefn, noise=0.05) # savefn = fragment.replace('.txt','.noise10.txt') # util.data_add_noise(fragment=fragment, ratio=10, col=7, seed=1234, savefn=savefn, noise=0.05) # savefn = fragment.replace('.txt','.0.1noise2.txt') # util.data_add_noise(fragment=fragment, ratio=2, col=7, seed=1234, savefn=savefn, noise=0.1) # savefn = fragment.replace('.txt','.0.1noise5.txt') # util.data_add_noise(fragment=fragment, ratio=5, col=7, seed=1234, savefn=savefn, noise=0.1) # savefn = fragment.replace('.txt','.0.1noise10.txt') # util.data_add_noise(fragment=fragment, ratio=10, col=7, seed=1234, savefn=savefn, noise=0.1) # get .fa # bed = '/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20123_FXR2_HEK293_trx.tx_has_shape_region_null_ok.bed' # util.bed_get_fa(bed=bed, species='human') # # search with fimo # # /home/gongjing/software/meme_4.12.0/bin/fimo -oc ./test --thresh 0.05 --norc ./motif/Collapsed.used.meme ./human_trx_clip/CLIPDB20123_FXR2_HEK293_trx.tx_has_shape_region_null_ok.bed.fa # motif_meme='/home/gongjing/project/shape_imputation/data/CLIP/motif/Collapsed.used.meme' # fimo_dir=bed.replace('.bed', '.fimo') # fimo='/home/gongjing/software/meme_4.12.0/bin/fimo' # subprocess.call(["{} -oc {} --thresh 0.05 --norc {} {}".format(fimo, fimo_dir, motif_meme, bed.replace('.bed', '.fa'))], shell=True) # util.fimo_convert('{}/fimo.txt'.format(fimo_dir)) # util.bed_fimo(bed=bed, species='human') # bed = '/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20123_FXR2_HEK293_trx.tx_has_shape_region_null_exceed.bed' # util.bed_fimo(bed=bed, species='human') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20121_FXR1_HEK293_trx.tx_has_shape_region_null_ok.bed', species='human', motif='FXR') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20121_FXR1_HEK293_trx.tx_has_shape_region_null_exceed.bed', species='human', motif='FXR') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20122_FXR1_HEK293_trx.tx_has_shape_region_null_ok.bed', species='human', motif='FXR') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20122_FXR1_HEK293_trx.tx_has_shape_region_null_exceed.bed', species='human', motif='FXR') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20124_FXR2_HEK293_trx.tx_has_shape_region_null_ok.bed', species='human', motif='FXR') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20124_FXR2_HEK293_trx.tx_has_shape_region_null_exceed.bed', species='human', motif='FXR') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20173_LIN28A_HEK293_trx.tx_has_shape_region_null_ok.bed', species='human', motif='LIN28') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20173_LIN28A_HEK293_trx.tx_has_shape_region_null_exceed.bed', species='human', motif='LIN28') # IGFBP1 # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20161_IGF2BP1_HEK293_trx.tx_has_shape_region_null_ok.bed', species='human', motif='IGF2BP1_11') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20162_IGF2BP1_HEK293_trx.tx_has_shape_region_null_ok.bed', species='human', motif='IGF2BP1_11') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20161_IGF2BP1_HEK293_trx.tx_has_shape_region_null_exceed.bed', species='human', motif='IGF2BP1_11') # util.bed_fimo(bed='/home/gongjing/project/shape_imputation/data/CLIP/human_trx_clip/CLIPDB20162_IGF2BP1_HEK293_trx.tx_has_shape_region_null_exceed.bed', species='human', motif='IGF2BP1_11') # bed = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6AOld_site.tran.tx_has_shape_base_valid.bed' # fa0 = util.bed_get_fa(bed=bed, species='human', extend=0, write_new_bed=1) # fa5 = util.bed_get_fa(bed=bed, species='human', extend=5, write_new_bed=1) # fa10 = util.bed_get_fa(bed=bed, species='human', extend=10, write_new_bed=1) # fa50 = util.bed_get_fa(bed=bed, species='human', extend=50, write_new_bed=1) # subprocess.call(["/home/gongjing/.local/bin/weblogo -f {} -D fasta -o {} -F pdf".format(fa0, fa0.replace('.fa', '.pdf'))], shell=True) # subprocess.call(["/home/gongjing/.local/bin/weblogo -f {} -D fasta -o {} -F pdf".format(fa5, fa5.replace('.fa', '.pdf'))], shell=True) # subprocess.call(["/home/gongjing/.local/bin/weblogo -f {} -D fasta -o {} -F pdf".format(fa10, fa10.replace('.fa', '.pdf'))], shell=True) # subprocess.call(["/home/gongjing/.local/bin/weblogo -f {} -D fasta -o {} -F pdf".format(fa50, fa50.replace('.fa', '.pdf'))], shell=True) # fragment = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6A_site.tran.tx_has_shape_base_valid.e10.bed.shape100.txt' # util.flter_null_fragment(fragment=fragment, col=7, null_pct=0.2) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_random/windowLen100.sliding100.train.txt' # np.random.seed(1234) # savefn = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_evenrandom/windowLen100.sliding100.train.txt' # util.data_null_even_in_interval(fragment=fragment, null_pct=0.1, col=8, savefn=savefn) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_random/windowLen100.sliding100.train.txt' # np.random.seed(1234) # savefn = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_randomnullfragment/windowLen100.sliding100.train.1perfragment_even.S{}.txt'.format(1234) # util.data_random_nullfragament(fragment, null_pct=0.1, col=8, savefn=savefn, mode='1perfragment_even', null_len=5, window_len=100, max_null_len=10) # seed_ls = [1234, 9999, 5678, 12315, 400100, 42, 1113, 2019, 19930426, 19491001] # null_len_ls = [20]#[5,10,15,20] # for seed in seed_ls: # for null_len in null_len_ls: # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_random/windowLen100.sliding100.train.txt' # np.random.seed(seed) # savefn = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_randomnullfragment/windowLen100.sliding100.train.1perfragment_evenL{}.S{}.txt'.format(null_len, seed) # util.data_random_nullfragament(fragment, null_pct=0.1, col=8, savefn=savefn, mode='1perfragment_even', null_len=null_len, window_len=100, max_null_len=10) # seed_ls = [1234, 9999, 5678, 12315, 400100, 42, 1113, 2019, 19930426, 19491001] # for seed in seed_ls: # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_random/windowLen100.sliding100.train.txt' # savefn = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/train_evenrandom/windowLen100.sliding100.train.pct0.15.s{}.txt'.format(seed) # util.data_null_even_in_interval(fragment=fragment, null_pct=0.15, col=8, savefn=savefn, seed=seed) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_evenrandom/windowLen100.sliding100.validation.txt' # np.random.seed(1234) # savefn = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_evenrandom/windowLen100.sliding100.validation.s1234.txt' # util.data_null_even_in_interval(fragment=fragment, null_pct=0.1, col=8, savefn=savefn, seed=1234) # fn = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6A_site.tran.tx_has_shape_base_valid.e0.bed.sort.shape' # savefn = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6A_site.tran.tx_has_shape_base_valid.e0.bed.sort.shape.heatmap.pdf' # util.plot_heatmap(fn=fn, savefn=savefn, value_col=3, fig_size_x=10, fig_size_y=20, cmap='summer', facecolor='black') # fn = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6A_site.tran.tx_has_shape_base_null.e0.bed.sort.shape' # savefn = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6A_site.tran.tx_has_shape_base_null.e0.bed.sort.shape.heatmap.pdf' # util.plot_heatmap(fn=fn, savefn=savefn, value_col=3, fig_size_x=10, fig_size_y=20, cmap='summer', facecolor='black') # fn = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6AsearchNegative_site.tran.tx_has_shape_base_null.e0.bed.sort.shape' # savefn = '/home/gongjing/project/shape_imputation/data/RBMbase/download_20191204/RMBase_hg38_all_m6AsearchNegative_site.tran.tx_has_shape_base_null.e0.bed.sort.shape.heatmap.pdf' # util.plot_heatmap(fn=fn, savefn=savefn, value_col=3, fig_size_x=10, fig_size_y=20, cmap='summer', facecolor='black') ### mes/hek293 cy/np/ch # fragment = '/home/gongjing/project/shape_imputation/data/mes_wc_vitro/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.txt' # np.random.seed(1234) # fragment_train,fragment_validate = util.fragment_split(fragment=fragment, train_frac=0.7, cols=8) # util.data_random_null(fragment_train, null_pct=0.1, col=9, savefn=None) # util.data_random_null(fragment_validate, null_pct=0.1, col=9, savefn=None) # sample_ls = ['mes_ch_vitro','mes_ch_vivo', 'mes_cy_vitro', 'mes_cy_vivo', 'mes_np_vitro', 'mes_np_vivo'] # sample_ls = ['hek_ch_vitro','hek_ch_vivo', 'hek_cy_vitro', 'hek_cy_vivo', 'hek_np_vitro', 'hek_np_vivo'] # sample_ls = ['hek_wc_vitro'] # species = 'human' # for sample in sample_ls: # out = '/home/gongjing/project/shape_imputation/data/{}/3.shape/shape.c200T2M0m0.out'.format(sample) # generate_data_set.generate_windows(out=out, window_len_ls=None, sliding_ls=None, species=species, all_valid_reactivity=1, null_pct_max=0.9) # fragment = '/home/gongjing/project/shape_imputation/data/{}/3.shape/shape.c200T2M0m0.out.windowsHasNull/windowLen100.sliding100.txt'.format(sample) # np.random.seed(1234) # fragment_train,fragment_validate = util.fragment_split(fragment=fragment, train_frac=0.7, cols=8) # util.data_random_null(fragment_train, null_pct=0.1, col=9, savefn=None) # util.data_random_null(fragment_validate, null_pct=0.1, col=9, savefn=None) # out = '/home/gongjing/project/shape_imputation/data/CIRSseq/CIRSseq_mES.out' # species = 'mouse(CIRSseq)' # generate_data_set.generate_windows(out=out, window_len_ls=None, sliding_ls=None, species=species, all_valid_reactivity=1, null_pct_max=0.9) # fragment = '/home/gongjing/project/shape_imputation/data/CIRSseq/CIRSseq_mES.out.windowsHasNull/windowLen100.sliding100.txt' # np.random.seed(1234) # fragment_train,fragment_validate = util.fragment_split(fragment=fragment, train_frac=0.7, cols=8) # util.data_random_null(fragment_train, null_pct=0.1, col=9, savefn=None) # util.data_random_null(fragment_validate, null_pct=0.1, col=9, savefn=None) # fragment = '/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/shape.c200T2M0m0.out.windowsHasNull/validation_randomnullfragment/windowLen100.sliding100.validation.txt' # seed_ls = [1234, 9999, 5678, 12315, 400100, 42, 1113, 2019, 19930426, 19491001] # for seed in seed_ls: # np.random.seed(seed) # savefn = fragment.replace('.txt', '.randomNullDist.S{}.txt'.format(seed)) # util.fragment_random_based_on_dist(fragment=fragment, col=8, savefn=savefn) icshape_fragment_pct_plus_exceed_pct2='/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/test_prediction/hek_wc.out.c80.newwithNULL.nominus.predict/iteration1/allfragment.0.5+exceed0.5.txt2' icshape_fragment_pct_plus_exceed_predict='/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/test_prediction/hek_wc.out.c80.newwithNULL.nominus.predict/iteration1/allfragment.0.5+exceed0.5.txt2.predict' icshape_fragment_pct_plus_exceed_predict_shapeout='/home/gongjing/project/shape_imputation/data/hek_wc_vivo/3.shape/test_prediction/hek_wc.out.c80.newwithNULL.nominus.predict/iteration1/allfragment.0.5+exceed0.5.txt2.predict.out' util.predict_to_shape(validation=icshape_fragment_pct_plus_exceed_pct2, predict=icshape_fragment_pct_plus_exceed_predict, shape_out=icshape_fragment_pct_plus_exceed_predict_shapeout)

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2e05d573e692fc7490b95e03547bb706b1413ad9

13,672

py

Python

tests/nuodb_statement_management_test.py

jgetto/nuodb-python

3a22260e801d8f9d9bd33f911a694e8caeba7282

[ "BSD-3-Clause" ]

null

tests/nuodb_statement_management_test.py

jgetto/nuodb-python

3a22260e801d8f9d9bd33f911a694e8caeba7282

[ "BSD-3-Clause" ]

null

tests/nuodb_statement_management_test.py

jgetto/nuodb-python

3a22260e801d8f9d9bd33f911a694e8caeba7282

[ "BSD-3-Clause" ]

null

#!/usr/bin/env python # -*- coding: utf-8 -*- """ These tests assume that the quickstart database exists. To create it run /opt/nuodb/run-quickstart or use the web console. """ import unittest import decimal from nuodb_base import NuoBase class NuoDBStatementManagementTest(NuoBase): def test_stable_statement(self): con = self._connect() cursor = con.cursor() init_handle = extract_statement_handle(cursor) cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double precision)") cursor.execute("insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col, double_col) values (0, 0, 0, 0, 0, 0, 0)") con.commit() cursor.execute("select * from typetest order by id desc limit 1") row = cursor.fetchone() for i in xrange(1, len(row)): self.assertEqual(row[i], 0) current_handle = extract_statement_handle(cursor) self.assertEqual(init_handle, current_handle) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def test_statement_per_cursor(self): con = self._connect() try: cursor1 = con.cursor() cursor2 = con.cursor() cursor3 = con.cursor() self.assertNotEqual(extract_statement_handle(cursor1), extract_statement_handle(cursor2)) self.assertNotEqual(extract_statement_handle(cursor2), extract_statement_handle(cursor3)) self.assertNotEqual(extract_statement_handle(cursor1), extract_statement_handle(cursor3)) finally: con.close() def test_prepared_statement_cache(self): con = self._connect() cursor = con.cursor() cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double)") test_vals = (3424, 23453464, 45453453454545, decimal.Decimal('234355.33'), decimal.Decimal('976.2'), decimal.Decimal('34524584057.3434234'), 10000.999) query = "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " \ "number_col, double_col) values (?, ?, ?, ?, ?, ?, ?)" cursor.execute(query, test_vals) cursor.execute("select * from typetest order by id desc limit 1") row = cursor.fetchone() for i in xrange(1, len(row)): self.assertEqual(row[i], test_vals[i - 1]) ps_cache = extract_prepared_statement_dict(cursor) self.assertEqual(1, len(ps_cache)) self.assertIn(query, ps_cache) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def test_prepared_statement_cache_should_not_grow(self): con = self._connect() cursor = con.cursor() cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double)") test_vals = (3424, 23453464, 45453453454545, decimal.Decimal('234355.33'), decimal.Decimal('976.2'), decimal.Decimal('34524584057.3434234'), 10000.999) query = "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " \ "number_col, double_col) values (?, ?, ?, ?, ?, ?, ?)" for _ in xrange(0, 20): cursor.execute(query, test_vals) cursor.execute("select * from typetest order by id desc limit 1") row = cursor.fetchone() for i in xrange(1, len(row)): self.assertEqual(row[i], test_vals[i - 1]) ps_cache = extract_prepared_statement_dict(cursor) self.assertEqual(1, len(ps_cache)) self.assertIn(query, ps_cache) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def test_prepared_statement_cache_stable(self): con = self._connect() cursor = con.cursor() cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double)") test_vals = (3424, 23453464, 45453453454545, decimal.Decimal('234355.33'), decimal.Decimal('976.2'), decimal.Decimal('34524584057.3434234'), 10000.999) query = "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " \ "number_col, double_col) values (?, ?, ?, ?, ?, ?, ?)" handle = None for _ in xrange(0, 20): cursor.execute(query, test_vals) cursor.execute("select * from typetest order by id desc limit 1") row = cursor.fetchone() for i in xrange(1, len(row)): self.assertEqual(row[i], test_vals[i - 1]) ps_cache = extract_prepared_statement_dict(cursor) self.assertEqual(1, len(ps_cache)) self.assertIn(query, ps_cache) if handle is None: handle = ps_cache[query].handle else: self.assertEqual(handle, ps_cache[query].handle) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def test_prepared_statement_cache_should_grow(self): con = self._connect() cursor = con.cursor() cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double)") test_vals = (3424, 23453464, 45453453454545, decimal.Decimal('234355.33'), decimal.Decimal('976.2'), decimal.Decimal('34524584057.3434234'), 10000.999) queries = ["insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col, double_col) values (?, ?, ?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col) values (?, ?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col) values " "(?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col) values (?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col) values (?, ?, ?)", "insert into typetest (smallint_col, integer_col) values (?, ?)", "insert into typetest (smallint_col) values (?)"] for _ in xrange(0, 10): for i in xrange(0, len(queries)): cursor.execute(queries[i], test_vals[0:len(queries) - i]) ps_cache = extract_prepared_statement_dict(cursor) self.assertEqual(len(queries), len(ps_cache)) for query in queries: self.assertIn(query, ps_cache) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def test_prepared_statement_cache_eviction(self): con = self._connect() cache_size = 5 cursor = con.cursor(prepared_statement_cache_size=cache_size) cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double)") test_vals = (3424, 23453464, 45453453454545, decimal.Decimal('234355.33'), decimal.Decimal('976.2'), decimal.Decimal('34524584057.3434234'), 10000.999) queries = ["insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col, double_col) values (?, ?, ?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col) values (?, ?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col) values " "(?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col) values (?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col) values (?, ?, ?)", "insert into typetest (smallint_col, integer_col) values (?, ?)", "insert into typetest (smallint_col) values (?)"] for i in xrange(0, len(queries)): cursor.execute(queries[i], test_vals[0:len(queries) - i]) ps_cache = extract_prepared_statement_dict(cursor) self.assertEqual(cache_size, len(ps_cache)) for query in queries[len(queries) - cache_size:]: self.assertIn(query, ps_cache) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def test_prepared_statement_cache_eviction_lru(self): con = self._connect() cache_size = 5 cursor = con.cursor(prepared_statement_cache_size=cache_size) cursor.execute("drop table typetest if exists") try: cursor.execute("create table typetest (id integer GENERATED ALWAYS AS IDENTITY, smallint_col smallint, " "integer_col integer, bigint_col bigint, numeric_col numeric(10, 2), " "decimal_col decimal(10, 2), number_col number, double_col double)") test_vals = (3424, 23453464, 45453453454545, decimal.Decimal('234355.33'), decimal.Decimal('976.2'), decimal.Decimal('34524584057.3434234'), 10000.999) queries = ["insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col, double_col) values (?, ?, ?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col, " "number_col) values (?, ?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col, decimal_col) values " "(?, ?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col, numeric_col) values (?, ?, ?, ?)", "insert into typetest (smallint_col, integer_col, bigint_col) values (?, ?, ?)", "insert into typetest (smallint_col, integer_col) values (?, ?)", "insert into typetest (smallint_col) values (?)"] query_order = [0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 2, 5, 5, 3, 1, 4, 6, 1, 5, 4, 5, 2, 3, 1, 5, 6, 4, 3, 6, 1, 5, 6, 1, 6, 3, 1, 2, 1, 1] for i in query_order: cursor.execute(queries[i], test_vals[0:len(queries) - i]) ps_cache = extract_prepared_statement_dict(cursor) self.assertEqual(cache_size, len(ps_cache)) for query in [queries[1], queries[2], queries[3], queries[5], queries[6]]: self.assertIn(query, ps_cache) for query in [queries[0], queries[4]]: self.assertNotIn(query, ps_cache) finally: try: cursor.execute("drop table typetest if exists") finally: con.close() def extract_statement_handle(cursor): return cursor._statement_cache._statement.handle def extract_prepared_statement_dict(cursor): return cursor._statement_cache._ps_cache if __name__ == '__main__': unittest.main()

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null

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7

2e522b9f67fd3b2e3a08e9cdbff4d080feb86d6b

23,582

py

Python

tests/pygenome/representations/test_tree.py

jorgetavares/pygenome

2b529ea55feff8c4a0214b37354d4d7c273202a3

[ "MIT" ]

1

2019-11-18T14:41:20.000Z

tests/pygenome/representations/test_tree.py

jorgetavares/pygenome

2b529ea55feff8c4a0214b37354d4d7c273202a3

[ "MIT" ]

null

tests/pygenome/representations/test_tree.py

jorgetavares/pygenome

2b529ea55feff8c4a0214b37354d4d7c273202a3

[ "MIT" ]

null

import numpy as np import pygenome as pg import operator as op def protected_div(a, b): if b > 0: return op.truediv(a, b) else: return b def test_transverse_tree(): np.random.seed(42) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") tree = np.array([1, 3, 1, 3, 4, 0, 0]) assert pg.transverse_tree(pset, tree, 0) == 5 assert pg.transverse_tree(pset, tree, 1) == 2 assert pg.transverse_tree(pset, tree, 2) == 5 def test_count_tree_internals(): pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") tree1 = np.array([1, 2, 1, 5, 1, 2, 2, 6, 5, 2, 3, 4, 2, 2, 4, 4, 2, 6, 6, 2, 3, 3, 1, 2, 5, 5, 1, 5, 6, 0, 0, 0]) depth, nodes = pg.count_tree_internals(pset, tree1) assert depth == 7 assert nodes == 29 tree2 = np.array([5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) depth, nodes = pg.count_tree_internals(pset, tree2) assert depth == 1 assert nodes == 1 def test_count_tree_internals_typed(): np.random.seed(42) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, types=[int, int, int]) pset.addFunction(op.sub, 2, types=[int, int, int]) pset.addFunction(op.mul, 2, types=[int, int, int]) pset.addFunction(protected_div, 2, types=[float, float, float]) num_constants = 5 for i in range(num_constants): pset.addTerminal(np.random.randint(-5, 5), types=[int]) for i in range(num_constants): pset.addTerminal(np.random.uniform(), types=[float]) pset.addVariable("x", types=[int]) tree1 = np.array([ 3, 2, 1, 6, 8, 2, 1, 3, 7, 6, 3, 7, 8, 8, 1, 1, 8, 6, 2, 14, 8, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) depth, nodes = pg.count_tree_internals(pset, tree1) assert depth == 6 assert nodes == 21 np.random.seed(42) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, types=[int, int, int]) pset.addFunction(op.sub, 2, types=[int, float, float]) pset.addFunction(op.mul, 2, types=[float, int, int]) pset.addFunction(protected_div, 2, types=[float, float, float]) num_constants = 5 for i in range(num_constants): pset.addTerminal(np.random.randint(-5, 5), types=[int]) for i in range(num_constants): pset.addTerminal(np.random.uniform(), types=[float]) pset.addVariable("x", types=[int]) tree2 = np.array([ 1, 1, 1, 7, 6, 2, 3, 6, 8, 12, 2, 3, 7, 8, 3, 8, 5, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]) depth, nodes = pg.count_tree_internals(pset, tree2) assert depth == 5 assert nodes == 17 def test_interpreter_str(): pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") tree = np.array([1, 2, 1, 1, 1, 2, 3, 3, 1, 4, 5, 1, 1, 5, 6, 1, 6, 6, 2, 1, 2, 3, 4, 2, 6, 4, 2, 2, 6, 6, 1, 3, 6, 2, 2, 1, 2, 3, 3, 1, 5, 5, 2, 2, 6, 6, 2, 5, 4, 2, 1, 2, 5, 6, 1, 6, 6, 1, 1, 3, 5, 1, 3, 3, 1, 2, 2, 1, 2, 4, 4, 2, 3, 4, 1, 2, 6, 6, 1, 6, 5, 2, 1, 2, 5, 5, 2, 3, 4, 2, 2, 6, 4, 2, 4, 4, 2, 2, 2, 1, 5, 4, 2, 6, 4, 2, 2, 6, 4, 1, 6, 5, 2, 2, 1, 6, 3, 2, 6, 3, 2, 1, 4, 5, 1, 6, 4, 0]) tree_str = pg.interpreter(pset, tree) assert tree_str == 'add(sub(add(add(add(sub(1, 1), add(2, 3)), add(add(3, x), add(x, x))), sub(add(sub(1, 2), sub(x, 2)), sub(sub(x, x), add(1, x)))), sub(sub(add(sub(1, 1), add(3, 3)), sub(sub(x, x), sub(3, 2))), sub(add(sub(3, x), add(x, x)), add(add(1, 3), add(1, 1))))), add(sub(sub(add(sub(2, 2), sub(1, 2)), add(sub(x, x), add(x, 3))), sub(add(sub(3, 3), sub(1, 2)), sub(sub(x, 2), sub(2, 2)))), sub(sub(sub(add(3, 2), sub(x, 2)), sub(sub(x, 2), add(x, 3))), sub(sub(add(x, 1), sub(x, 1)), sub(add(2, 3), add(x, 2))))))' def test_interpreter_str_typed(): pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [float, int, int]) pset.addFunction(op.sub, 2, [int, float, float]) pset.addFunction(op.mul, 2, [float, int, int]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addTerminal(4.0, [float]) pset.addTerminal(5.0, [float]) pset.addTerminal(6.0, [float]) pset.addVariable("x", [float]) pset.addVariable("y", [int]) tree = np.array([ 1, 2, 3, 2, 1, 2, 9, 9, 2, 10, 7, 1, 2, 9, 8, 2, 9, 9, 2, 1, 2, 9, 10, 2, 7, 10, 3, 2, 10, 9, 2, 8, 7, 1, 2, 3, 2, 10, 9, 2, 9, 8, 1, 2, 10, 7, 2, 7, 10, 2, 3, 2, 7, 9, 2, 10, 7, 1, 2, 9, 9, 2, 8, 8, 2, 3, 2, 3, 2, 10, 10, 2, 9, 9, 3, 2, 8, 8, 2, 9, 10, 2, 3, 2, 10, 10, 2, 7, 8, 1, 2, 9, 8, 2, 7, 7, 3, 2, 3, 2, 10, 7, 2, 10, 8, 3, 2, 7, 9, 2, 9, 8, 2, 3, 2, 10, 10, 2, 9, 10, 1, 2, 10, 7, 2, 10, 9, 0]) tree_str = pg.interpreter(pset, tree) assert tree_str == 'add(sub(mul(sub(add(sub(6.0, 6.0), sub(x, 4.0)), add(sub(6.0, 5.0), sub(6.0, 6.0))), sub(add(sub(6.0, x), sub(4.0, x)), mul(sub(x, 6.0), sub(5.0, 4.0)))), add(sub(mul(sub(x, 6.0), sub(6.0, 5.0)), add(sub(x, 4.0), sub(4.0, x))), sub(mul(sub(4.0, 6.0), sub(x, 4.0)), add(sub(6.0, 6.0), sub(5.0, 5.0))))), sub(mul(sub(mul(sub(x, x), sub(6.0, 6.0)), mul(sub(5.0, 5.0), sub(6.0, x))), sub(mul(sub(x, x), sub(4.0, 5.0)), add(sub(6.0, 5.0), sub(4.0, 4.0)))), mul(sub(mul(sub(x, 4.0), sub(x, 5.0)), mul(sub(4.0, 6.0), sub(6.0, 5.0))), sub(mul(sub(x, x), sub(6.0, x)), add(sub(x, 4.0), sub(x, 6.0))))))' def test_interpreter_run(): pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addTerminal(4) tree = np.array([1, 2, 1, 1, 1, 2, 3, 3, 1, 4, 5, 1, 1, 5, 6, 1, 6, 6, 2, 1, 2, 3, 4, 2, 6, 4, 2, 2, 6, 6, 1, 3, 6, 2, 2, 1, 2, 3, 3, 1, 5, 5, 2, 2, 6, 6, 2, 5, 4, 2, 1, 2, 5, 6, 1, 6, 6, 1, 1, 3, 5, 1, 3, 3, 1, 2, 2, 1, 2, 4, 4, 2, 3, 4, 1, 2, 6, 6, 1, 6, 5, 2, 1, 2, 5, 5, 2, 3, 4, 2, 2, 6, 4, 2, 4, 4, 2, 2, 2, 1, 5, 4, 2, 6, 4, 2, 2, 6, 4, 1, 6, 5, 2, 2, 1, 6, 3, 2, 6, 3, 2, 1, 4, 5, 1, 6, 4, 0]) tree_run = pg.interpreter(pset, tree, run=True) assert tree_run == 20 def test_interpreter_run_typed(): pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [float, int, int]) pset.addFunction(op.sub, 2, [int, float, float]) pset.addFunction(op.mul, 2, [float, int, int]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addTerminal(4.0, [float]) pset.addTerminal(5.0, [float]) pset.addTerminal(6.0, [float]) pset.addTerminal(7.0, [float]) pset.addTerminal(8, [int]) tree = np.array([ 1, 2, 3, 2, 1, 2, 9, 9, 2, 10, 7, 1, 2, 9, 8, 2, 9, 9, 2, 1, 2, 9, 10, 2, 7, 10, 3, 2, 10, 9, 2, 8, 7, 1, 2, 3, 2, 10, 9, 2, 9, 8, 1, 2, 10, 7, 2, 7, 10, 2, 3, 2, 7, 9, 2, 10, 7, 1, 2, 9, 9, 2, 8, 8, 2, 3, 2, 3, 2, 10, 10, 2, 9, 9, 3, 2, 8, 8, 2, 9, 10, 2, 3, 2, 10, 10, 2, 7, 8, 1, 2, 9, 8, 2, 7, 7, 3, 2, 3, 2, 10, 7, 2, 10, 8, 3, 2, 7, 9, 2, 9, 8, 2, 3, 2, 10, 10, 2, 9, 10, 1, 2, 10, 7, 2, 10, 9, 0]) tree_run = pg.interpreter(pset, tree, run=True) assert tree_run == 27.0 def test_interpreter_run_inputs(): pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") tree = np.array([1, 2, 1, 1, 1, 2, 3, 3, 1, 4, 5, 1, 1, 5, 6, 1, 6, 6, 2, 1, 2, 3, 4, 2, 6, 4, 2, 2, 6, 6, 1, 3, 6, 2, 2, 1, 2, 3, 3, 1, 5, 5, 2, 2, 6, 6, 2, 5, 4, 2, 1, 2, 5, 6, 1, 6, 6, 1, 1, 3, 5, 1, 3, 3, 1, 2, 2, 1, 2, 4, 4, 2, 3, 4, 1, 2, 6, 6, 1, 6, 5, 2, 1, 2, 5, 5, 2, 3, 4, 2, 2, 6, 4, 2, 4, 4, 2, 2, 2, 1, 5, 4, 2, 6, 4, 2, 2, 6, 4, 1, 6, 5, 2, 2, 1, 6, 3, 2, 6, 3, 2, 1, 4, 5, 1, 6, 4, 0]) inputs = {"x": 4} tree_run = pg.interpreter(pset, tree, run=True, vars_inputs=inputs) assert tree_run == 20 def test_interpreter_run_typed_inputs(): pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [float, int, int]) pset.addFunction(op.sub, 2, [int, float, float]) pset.addFunction(op.mul, 2, [float, int, int]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addTerminal(4.0, [float]) pset.addTerminal(5.0, [float]) pset.addTerminal(6.0, [float]) pset.addVariable("x", [float]) pset.addVariable("y", [int]) inputs = {"x": 7.0, "y": 8} tree = np.array([ 1, 2, 3, 2, 1, 2, 9, 9, 2, 10, 7, 1, 2, 9, 8, 2, 9, 9, 2, 1, 2, 9, 10, 2, 7, 10, 3, 2, 10, 9, 2, 8, 7, 1, 2, 3, 2, 10, 9, 2, 9, 8, 1, 2, 10, 7, 2, 7, 10, 2, 3, 2, 7, 9, 2, 10, 7, 1, 2, 9, 9, 2, 8, 8, 2, 3, 2, 3, 2, 10, 10, 2, 9, 9, 3, 2, 8, 8, 2, 9, 10, 2, 3, 2, 10, 10, 2, 7, 8, 1, 2, 9, 8, 2, 7, 7, 3, 2, 3, 2, 10, 7, 2, 10, 8, 3, 2, 7, 9, 2, 9, 8, 2, 3, 2, 10, 10, 2, 9, 10, 1, 2, 10, 7, 2, 10, 9, 0]) tree_run = pg.interpreter(pset, tree, run=True, vars_inputs=inputs) assert tree_run == 27.0 def test_max_size_from_tree_max_depth_arity2(): pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addTerminal(4) assert pg.max_size_from_tree_max_depth(pset, 4) == 16 assert pg.max_size_from_tree_max_depth(pset, 6) == 64 assert pg.max_size_from_tree_max_depth(pset, 8) == 256 assert pg.max_size_from_tree_max_depth(pset, 10) == 1024 assert pg.max_size_from_tree_max_depth(pset, 12) == 4096 assert pg.max_size_from_tree_max_depth(pset, 14) == 16384 assert pg.max_size_from_tree_max_depth(pset, 16) == 65536 assert pg.max_size_from_tree_max_depth(pset, 18) == 262144 assert pg.max_size_from_tree_max_depth(pset, 20) == 1048576 def test_max_size_from_tree_max_depth_arity3(): pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 3) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addTerminal(4) assert pg.max_size_from_tree_max_depth(pset, 4) == 40 assert pg.max_size_from_tree_max_depth(pset, 6) == 364 assert pg.max_size_from_tree_max_depth(pset, 8) == 3280 assert pg.max_size_from_tree_max_depth(pset, 10) == 29524 assert pg.max_size_from_tree_max_depth(pset, 12) == 265720 assert pg.max_size_from_tree_max_depth(pset, 14) == 2391484 assert pg.max_size_from_tree_max_depth(pset, 16) == 21523360 assert pg.max_size_from_tree_max_depth(pset, 18) == 193710244 assert pg.max_size_from_tree_max_depth(pset, 20) == 1743392200 def test_full_tree1(): np.random.seed(42) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") init_max_depth = 3 max_depth = 6 tree = pg.full_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([1, 2, 3, 5, 1, 6, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) def test_full_tree2(): np.random.seed(42) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") init_max_depth = 8 max_depth = 8 tree = pg.full_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([1, 2, 1, 1, 1, 2, 1, 3, 5, 2, 5, 5, 1, 1, 6, 3, 2, 6, 6, 1, 2, 1, 4, 6, 2, 4, 4, 2, 2, 6, 3, 1, 6, 4, 2, 1, 2, 1, 3, 5, 1, 5, 4, 2, 2, 6, 6, 1, 4, 4, 1, 2, 1, 6, 5, 2, 6, 3, 1, 1, 5, 5, 1, 3, 5, 2, 2, 1, 2, 2, 4, 4, 1, 4, 3, 2, 2, 6, 5, 2, 5, 6, 1, 2, 1, 5, 4, 1, 6, 4, 2, 2, 4, 4, 2, 4, 4, 2, 2, 1, 1, 4, 4, 2, 4, 4, 2, 2, 4, 5, 2, 5, 6, 2, 1, 2, 3, 4, 2, 3, 6, 1, 2, 5, 3, 2, 4, 3, 2, 2, 2, 1, 1, 1, 5, 3, 1, 3, 5, 1, 2, 3, 6, 2, 6, 5, 1, 1, 1, 6, 5, 1, 3, 5, 1, 2, 5, 4, 1, 6, 5, 1, 2, 2, 2, 3, 6, 1, 5, 4, 2, 1, 5, 6, 2, 4, 5, 1, 1, 1, 3, 5, 2, 5, 3, 1, 2, 5, 5, 2, 5, 5, 1, 1, 1, 2, 2, 6, 3, 1, 5, 6, 1, 1, 6, 3, 2, 6, 4, 1, 1, 1, 3, 5, 1, 3, 6, 1, 2, 5, 5, 1, 4, 6, 2, 2, 1, 2, 3, 3, 2, 6, 6, 2, 2, 6, 4, 2, 5, 6, 2, 1, 2, 3, 5, 2, 3, 3, 1, 1, 4, 3, 2, 3, 3, 0])) def test_grow_tree1(): np.random.seed(42) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") init_max_depth = 3 max_depth = 6 tree = pg.grow_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([4, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) def test_grow_tree2(): np.random.seed(45345) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") init_max_depth = 3 max_depth = 6 tree = pg.grow_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([1, 4, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) def test_grow_tree3(): np.random.seed(45345) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(1) pset.addTerminal(2) pset.addTerminal(3) pset.addVariable("x") init_max_depth = 2 max_depth = 2 tree = pg.full_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([1, 6, 5, 0])) ##### def test_full_tree1_typed(): np.random.seed(42) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [int, int, int]) pset.addFunction(op.sub, 2, [int, int, int]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addVariable("x", [int]) init_max_depth = 3 max_depth = 6 tree = pg.full_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([1, 2, 3, 5, 1, 6, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) def test_full_tree2_typed(): np.random.seed(42) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [int, int, int]) pset.addFunction(op.sub, 2, [float, int, int]) pset.addFunction(op.mul, 2, [int, float, float]) pset.addFunction(op.truediv, 2, [float, float, float]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addTerminal(4.0, [float]) pset.addTerminal(5.0, [float]) pset.addTerminal(6.0, [float]) pset.addVariable("x", [float]) pset.addVariable("y", [int]) init_max_depth = 7 max_depth = 7 tree = pg.full_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([ 3, 4, 2, 1, 1, 3, 8, 8, 1, 6, 7, 1, 1, 7, 12, 1, 12, 12, 3, 2, 3, 8, 9, 3, 11, 9, 4, 4, 11, 11, 2, 5, 12, 4, 4, 2, 3, 8, 8, 1, 7, 7, 4, 4, 11, 11, 4, 10, 9, 4, 2, 3, 10, 11, 1, 12, 12, 2, 1, 5, 7, 1, 5, 5, 2, 3, 4, 2, 3, 9, 9, 3, 8, 9, 2, 3, 11, 11, 1, 12, 7, 4, 2, 3, 10, 10, 3, 8, 11, 4, 4, 11, 9, 4, 9, 9, 3, 4, 4, 2, 7, 6, 4, 11, 9, 4, 4, 11, 9, 2, 12, 7, 4, 4, 2, 12, 5, 4, 11, 8, 4, 2, 6, 7, 2, 12, 6, 0])) def test_grow_tree1(): np.random.seed(45345) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [int, int, int]) pset.addFunction(op.sub, 2, [int, int, int]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addVariable("x", [int]) init_max_depth = 3 max_depth = 6 tree = pg.grow_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([1, 4, 3, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) def test_grow_tree2(): np.random.seed(12345) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [int, int, int]) pset.addFunction(op.sub, 2, [float, int, int]) pset.addFunction(op.mul, 2, [int, float, float]) pset.addFunction(op.truediv, 2, [float, float, float]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addTerminal(4.0, [float]) pset.addTerminal(5.0, [float]) pset.addTerminal(6.0, [float]) pset.addVariable("x", [float]) pset.addVariable("y", [int]) init_max_depth = 4 max_depth = 4 tree = pg.grow_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([ 3, 11, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) def test_grow_tree3(): np.random.seed(12345) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [int, int, int]) pset.addFunction(op.sub, 2, [float, int, int]) pset.addFunction(op.mul, 2, [int, float, float]) pset.addFunction(op.truediv, 2, [float, float, float]) pset.addTerminal(1, [int]) pset.addTerminal(2, [int]) pset.addTerminal(3, [int]) pset.addTerminal(4.0, [float]) pset.addTerminal(5.0, [float]) pset.addTerminal(6.0, [float]) pset.addVariable("x", [float]) pset.addVariable("y", [int]) init_max_depth = 2 max_depth = 2 tree = pg.grow_tree(pset, init_max_depth, max_depth) assert np.array_equal(tree, np.array([3, 9, 9, 0])) def float_constants(): return np.random.uniform() def test_full_tree_ephemeral1(): np.random.seed(42) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(float_constants, types=None, ephemeral=True) init_max_depth = 3 max_depth = 6 tree = pg.full_tree(pset, init_max_depth, max_depth) tree_str = pg.interpreter(pset, tree) assert np.array_equal(tree, np.array([1, 2, 4, 5, 1, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) assert tree_str == 'add(sub(0.9507143064099162, 0.7319939418114051), add(0.596850157946487, 0.44583275285359114))' assert pset.num_primitives == 7 assert pset.ephemeral_cache == {3} assert pset.ephemeral_constants == {4: (0.9507143064099162, None), 5: (0.7319939418114051, None), 6: (0.596850157946487, None), 7: (0.44583275285359114, None)} def test_full_tree_ephemeral_typed1(): np.random.seed(42) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [float, float, float]) pset.addFunction(op.sub, 2, [float, float, float]) pset.addTerminal(float_constants, types=[float], ephemeral=True) init_max_depth = 3 max_depth = 6 tree = pg.full_tree(pset, init_max_depth, max_depth) tree_str = pg.interpreter(pset, tree) assert np.array_equal(tree, np.array([1, 2, 4, 5, 1, 6, 7, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) assert tree_str == 'add(sub(0.9507143064099162, 0.7319939418114051), add(0.596850157946487, 0.44583275285359114))' assert pset.num_primitives == 7 assert pset.ephemeral_cache == {3} assert pset.ephemeral_constants == {4: (0.9507143064099162, [float]), 5: (0.7319939418114051, [float]), 6: (0.596850157946487, [float]), 7: (0.44583275285359114, [float])} def test_grow_tree_ephemeral1(): np.random.seed(45345) pset = pg.PrimitiveSet() pset.addFunction(op.add, 2) pset.addFunction(op.sub, 2) pset.addTerminal(float_constants, types=None, ephemeral=True) init_max_depth = 5 max_depth = 6 tree = pg.grow_tree(pset, init_max_depth, max_depth) tree_str = pg.interpreter(pset, tree) assert np.array_equal(tree, np.array([ 1, 4, 2, 2, 1, 5, 6, 2, 7, 8, 1, 1, 9, 10, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) assert tree_str == 'add(0.6948470578046806, sub(sub(add(0.23851088045334068, 0.7485138905722925), sub(0.9421360052961212, 0.5983584346144624)), add(add(0.6952518271609337, 0.41227782045980343), 0.13638623666489624)))' assert pset.num_primitives == 11 assert pset.ephemeral_cache == {3} assert pset.ephemeral_constants == {4: (0.6948470578046806, None), 5: (0.23851088045334068, None), 6: (0.7485138905722925, None), 7: (0.9421360052961212, None), 8: (0.5983584346144624, None), 9: (0.6952518271609337, None), 10: (0.41227782045980343, None), 11: (0.13638623666489624, None)} def test_grow_tree_ephemeral_typed1(): np.random.seed(45345) pset = pg.PrimitiveSet(typed=True) pset.addFunction(op.add, 2, [float, float, float]) pset.addFunction(op.sub, 2, [float, float, float]) pset.addTerminal(float_constants, types=[float], ephemeral=True) init_max_depth = 5 max_depth = 6 tree = pg.grow_tree(pset, init_max_depth, max_depth) tree_str = pg.interpreter(pset, tree) assert np.array_equal(tree, np.array([ 1, 4, 2, 2, 1, 5, 6, 2, 7, 8, 1, 1, 9, 10, 11, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0])) assert tree_str == 'add(0.6948470578046806, sub(sub(add(0.23851088045334068, 0.7485138905722925), sub(0.9421360052961212, 0.5983584346144624)), add(add(0.6952518271609337, 0.41227782045980343), 0.13638623666489624)))' assert pset.num_primitives == 11 assert pset.ephemeral_cache == {3} assert pset.ephemeral_constants == {4: (0.6948470578046806, [float]), 5: (0.23851088045334068, [float]), 6: (0.7485138905722925, [float]), 7: (0.9421360052961212, [float]), 8: (0.5983584346144624, [float]), 9: (0.6952518271609337, [float]), 10: (0.41227782045980343, [float]), 11: (0.13638623666489624, [float])}

46.512821

618

0.552413

4,437

23,582

2.860041

0.028623

0.089992

0.131442

0.170843

0.877384

0.853586

0.831363

0.820883

0.805595

0.799685

0

0.193336

0.251633

23,582

506

619

46.604743

0.525725

0

0.764211

0

0.012632

0.072189

0.024431

0

0.136842

1

0.056842

false

0

0.006316

0.002105

0.069474

0

null

0

1

0

1

0

null

0

8

2e55b82512a1f84e7ea9a44070bd526523d9d56b

6,192

py

Python

server_settings.py

RAiU14/Chat_Filter_Bot

9a3aeb144e178516f8b853e9c95afc4955d2c5cb

[ "MIT" ]

null

server_settings.py

RAiU14/Chat_Filter_Bot

9a3aeb144e178516f8b853e9c95afc4955d2c5cb

[ "MIT" ]

null

server_settings.py

RAiU14/Chat_Filter_Bot

9a3aeb144e178516f8b853e9c95afc4955d2c5cb

[ "MIT" ]

null

from typing import Union from imports import * # Adds a channelid to a list of ignored channels into a JSON file. def add_ignore_channels(filename: str, obj: Union[int, list]): channelid = [] for item in obj: channelid.append(item.id) try: data = {'channel_id': [], 'role_id': []} if os.path.isfile(filename): with open(filename) as json_reading: data = json.load(json_reading) data['channel_id'].extend(channelid) # Add more value to the list. data['channel_id'] = list(set(data['channel_id'])) # Removes duplicates. with open(filename, 'w') as json_writing: json.dump(data, json_writing, indent=4) embed = discord.Embed(title="Sucess!", description="Added the following channel to ignore list!", colour=discord.Color.green()) for x in obj: embed.add_field(name=x.name, value=x.id) return embed except Exception: embed = discord.Embed(title="Oops!", description="Some error occured, try maybe?", color=discord.Color.red()) return embed # Remove a channel id from the list of ignored channels present in the JSON file. def del_ingored_channel(filename: str, obj: list = None): channelid = [] data = {'channel_id': [], 'role_id': []} try: if obj is None: with open(filename) as json_reading: data = json.load(json_reading) data[ 'channel_id'].clear() # This is for removing everything in channel_id. [list.clear() will clear the complete list.] with open(filename, 'w') as json_writing: json.dump(data, json_writing, indent=4) embed = discord.Embed(title='Success!', description="The ignore channel list is now cleared.", colour=discord.Colour.green()) return embed if len(obj) == 1: channelid = [obj[0].id] else: for item in obj: channelid.append(item.id) print(type(channelid)) if os.path.isfile(filename): with open(filename) as json_reading: data = json.load(json_reading) data['channel_id'] = list(set(data['channel_id']) - set(channelid)) # This will delete value from the list. with open(filename, 'w') as json_writing: json.dump(data, json_writing, indent=4) embed = discord.Embed(title="Sucess!", description="Deleted the following channel from the ignore list!", colour=discord.Color.green()) for x in obj: embed.add_field(name=x.name, value=x.id) return embed except Exception: embed = discord.Embed(title="Oops!", description="Some error occured, try maybe?", color=discord.Color.red()) return embed # Adds a list of ignored roles to JSON file. def add_ignore_roles(filename: str, obj: list): roleid = [] try: for item in obj: roleid.append(item.id) data = {'channel_id': [], 'role_id': []} if os.path.isfile(filename): with open(filename) as json_reading: data = json.load(json_reading) data['role_id'].extend(roleid) data['role_id'] = list(set(data['role_id'])) # Removes duplicates. with open(filename, 'w') as json_writing: json.dump(data, json_writing, indent=4) embed = discord.Embed(title="Sucess!", description="Added the following roles to ignore list!", colour=discord.Color.green()) for x in obj: embed.add_field(name=x.name, value=x.id) return embed except Exception: embed = discord.Embed(title="Oops!", description="Some error occured, try maybe?", color=discord.Color.red()) return embed # Remove a role id from the list of ignored role present in the JSON file. def del_ingored_roles(filename: str, obj: list = None): roleid = [] data = {'channel_id': [], 'role_id': []} try: if obj is None: with open(filename) as json_reading: data = json.load(json_reading) data[ 'role_id'].clear() # This is for removing everything in channel_id. [list.clear() will clear the complete list.] with open(filename, 'w') as json_writing: json.dump(data, json_writing, indent=4) embed = discord.Embed(title='Success!', description="The ignore channel list is now cleared.", colour=discord.Colour.green()) return embed if len(obj) == 1: roleid = [obj[0].id] else: for item in obj: roleid.append(item.id) if os.path.isfile(filename): with open(filename) as json_reading: data = json.load(json_reading) data['role_id'] = list(set(data['role_id']) - set(roleid)) # This will delete value from the list. with open(filename, 'w') as json_writing: json.dump(data, json_writing, indent=4) embed = discord.Embed(title="Sucess!", description="Deleted the following channel from the ignore list!", colour=discord.Color.green()) for x in obj: embed.add_field(name=x.name, value=x.id) return embed except Exception: embed = discord.Embed(title="Oops!", description="Some error occured, try maybe?", color=discord.Color.red()) return embed # View all the ignored channels def view_ignored(filename: str, a_type: str): # make it a way where if a_type is none, then display everything try: with open(filename) as json_reading: data = json.load(json_reading) if a_type == 'channel': ignored_channels = data['channel_id'] return ignored_channels else: ignored_roles = data['role_id'] return ignored_roles except Exception: return False

43

132

0.580588

769

6,192

4.583875

0.141743

0.035745

0.059007

0.062411

0.840284

0.808511

0.796028

0.710071

0

0.002342

0.310562

6,192

143

133

43.300699

0.823378

0.109981

0

0.795276

0

0.117882

0

1

0.03937

false

0

0.015748

0

0.15748

0.007874

0

null

0

1

0

1

0

null

0

7

2e5864d4906a071a3aff17b4b3f89d03ed455939

147

py

Python

app/account/__init__.py

Mateus-Brito/flask-start

3a772d65708c7ef050d4060db8182b88e6b7bc5f

[ "MIT" ]

1

2021-11-22T17:40:39.000Z

app/account/__init__.py

Mateus-Brito/flask-start

3a772d65708c7ef050d4060db8182b88e6b7bc5f

[ "MIT" ]

1

2018-08-25T20:44:47.000Z

app/account/__init__.py

Mateus-Brito/flask-start

3a772d65708c7ef050d4060db8182b88e6b7bc5f

[ "MIT" ]

null

from flask import Blueprint account_controller = Blueprint('account_controller', __name__, template_folder='templates') from .controller import *

29.4

91

0.823129

16

147

7.125

0.625

0.280702

0.45614

0

0.095238

147

5

92

29.4

0.857143

0

0.182432

0

1

0

false

0

0.666667

0

0.666667

1

0

null

1

0

1

0

null

0

1

0

1

0

7

2e777ec5b2edfb1bfe40e6eb9de102e0c7c788ae

47

py

Python

bikeshed/refs/__init__.py

saschanaz/bikeshed

fb1e763a4f49852a7dabe8d783c6980416b238ef

[ "CC0-1.0" ]

775

2015-01-06T16:58:59.000Z

2022-03-31T23:49:10.000Z

bikeshed/refs/__init__.py

saschanaz/bikeshed

fb1e763a4f49852a7dabe8d783c6980416b238ef

[ "CC0-1.0" ]

1,495

2015-01-06T01:06:00.000Z

2022-03-31T20:16:13.000Z

bikeshed/refs/__init__.py

frivoal/bikeshed

132fff3bd80d0059b5a2ac0cd4e3317db34dec12

[ "CC0-1.0" ]

196

2015-01-26T23:56:59.000Z

2022-03-23T20:35:59.000Z

from .ReferenceManager import ReferenceManager

23.5

46

0.893617

4

47

10.5

0.75

0

0.085106

47

1

47

0.976744

0

1

0

true

0

1

0

1

0

1

null

0

1

0

null

0

1

0

1

0

1

0

7

cf071a2fa0714e702dadb5d1044cea7f5dc07518

15

py

Python

code/sample_2-3-12.py

KoyanagiHitoshi/AtCoder-Python-Introduction

6d014e333a873f545b4d32d438e57cf428b10b96

[ "MIT" ]

1

2022-03-29T13:50:12.000Z

code/sample_2-3-12.py

KoyanagiHitoshi/AtCoder-Python-Introduction

6d014e333a873f545b4d32d438e57cf428b10b96

[ "MIT" ]

null

code/sample_2-3-12.py

KoyanagiHitoshi/AtCoder-Python-Introduction

6d014e333a873f545b4d32d438e57cf428b10b96

[ "MIT" ]

null

print(10 <= 9)

7.5

14

0.533333

3

15

2.666667

1

0

0.25

0.2

15

1

15

0.416667

0

1

0

true

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

7

cf711e3a73dc6ac48e89137339cbe8ad40418777

9,989

py

Python

utilities/train_eval_classification.py

saiabinesh/EdgeNets

2b232d3f7fb60658755dad1ebca0ffc895cc795e

[ "MIT" ]

392

2019-06-08T00:34:58.000Z

2022-03-26T18:46:44.000Z

utilities/train_eval_classification.py

saiabinesh/EdgeNets

2b232d3f7fb60658755dad1ebca0ffc895cc795e

[ "MIT" ]

37

2019-06-23T07:37:36.000Z

2022-03-02T17:24:30.000Z

utilities/train_eval_classification.py

saiabinesh/EdgeNets

2b232d3f7fb60658755dad1ebca0ffc895cc795e

[ "MIT" ]

87

2019-06-11T16:32:07.000Z

2022-01-30T14:44:29.000Z

#============================================ __author__ = "Sachin Mehta" __maintainer__ = "Sachin Mehta" #============================================ import time import torch from utilities.utils import AverageMeter from utilities.metrics.classification_accuracy import accuracy from torch.nn import functional as F from utilities.print_utils import * ''' Training loop ''' def train(data_loader, model, criteria, optimizer, epoch, device='cuda'): batch_time = AverageMeter() data_time = AverageMeter() losses = AverageMeter() top1 = AverageMeter() top5 = AverageMeter() # switch to train mode model.train() end = time.time() for i, (input, target) in enumerate(data_loader): # measure data loading time data_time.update(time.time() - end) input = input.to(device) target = target.to(device) # compute output output = model(input) # compute loss loss = criteria(output, target) # measure accuracy and record loss prec1, prec5 = accuracy(output, target, topk=(1, 5)) #losses.update(loss.data[0], input.size(0)) losses.update(loss.item(), input.size(0)) top1.update(prec1[0].item(), input.size(0)) top5.update(prec5[0].item(), input.size(0)) # compute gradient and do SGD step optimizer.zero_grad() loss.backward() optimizer.step() # measure elapsed time batch_time.update(time.time() - end) end = time.time() if i % 10 == 0: #print after every 100 batches print_log_message("Epoch: %d[%d/%d]\t\tBatch Time:%.4f\t\tLoss:%.4f\t\ttop1:%.4f (%.4f)\t\ttop5:%.4f (%.4f)" % (epoch, i, len(data_loader), batch_time.avg, losses.avg, top1.val, top1.avg, top5.val, top5.avg)) return top1.avg, losses.avg ''' Validation loop ''' def validate(data_loader, model, criteria=None, device='cuda'): batch_time = AverageMeter() top1 = AverageMeter() top5 = AverageMeter() if criteria: losses = AverageMeter() # switch to evaluate mode model.eval() # with torch.no_grad(): end = time.time() with torch.no_grad(): for i, (input, target) in enumerate(data_loader): input = input.to(device) target = target.to(device) # compute output output = model(input) if criteria: loss = criteria(output, target) # measure accuracy and record loss prec1, prec5 = accuracy(output, target, topk=(1, 5)) if criteria: losses.update(loss.item(), input.size(0)) top1.update(prec1[0].item(), input.size(0)) top5.update(prec5[0].item(), input.size(0)) # measure elapsed time batch_time.update(time.time() - end) end = time.time() if i % 10 == 0 and criteria: # print after every 100 batches print_log_message("Batch:[%d/%d]\t\tBatchTime:%.3f\t\tLoss:%.3f\t\ttop1:%.3f (%.3f)\t\ttop5:%.3f(%.3f)" % (i, len(data_loader), batch_time.avg, losses.avg, top1.val, top1.avg, top5.val, top5.avg)) elif i % 10: print_log_message( "Batch:[%d/%d]\t\tBatchTime:%.3f\t\ttop1:%.3f (%.3f)\t\ttop5:%.3f(%.3f)" % (i, len(data_loader), batch_time.avg, top1.val, top1.avg, top5.val, top5.avg)) print_info_message(' * Prec@1:%.3f Prec@5:%.3f' % (top1.avg, top5.avg)) if criteria: return top1.avg, losses.avg else: return top1.avg def train_multi(data_loader, model, criteria, optimizer, epoch, device='cuda'): batch_time = AverageMeter() losses = AverageMeter() prec = AverageMeter() rec = AverageMeter() # switch to train mode model.train() end = time.time() tp, fp, fn, tn, count = 0, 0, 0, 0, 0 p_o, r_o, f_o = 0.0, 0.0, 0.0 for i, (input, target) in enumerate(data_loader): target = target.to(device=device) target = target.max(dim=1)[0] # compute output output = model(input) loss = criteria(output, target.float()) * 80.0 # measure accuracy and record loss pred = output.gt(0.0).long() tp += (pred + target).eq(2).sum(dim=0) fp += (pred - target).eq(1).sum(dim=0) fn += (pred - target).eq(-1).sum(dim=0) tn += (pred + target).eq(0).sum(dim=0) count += input.size(0) this_tp = (pred + target).eq(2).sum() this_fp = (pred - target).eq(1).sum() this_fn = (pred - target).eq(-1).sum() this_tn = (pred + target).eq(0).sum() this_acc = (this_tp + this_tn).float() / (this_tp + this_tn + this_fp + this_fn).float() this_prec = this_tp.float() / (this_tp + this_fp).float() * 100.0 if this_tp + this_fp != 0 else 0.0 this_rec = this_tp.float() / (this_tp + this_fn).float() * 100.0 if this_tp + this_fn != 0 else 0.0 losses.update(float(loss), input.size(0)) prec.update(float(this_prec), input.size(0)) rec.update(float(this_rec), input.size(0)) # compute gradient and do SGD step optimizer.zero_grad() loss.backward() optimizer.step() # measure elapsed time batch_time.update(time.time() - end) end = time.time() p_c = [float(tp[i].float() / (tp[i] + fp[i]).float()) * 100.0 if tp[i] > 0 else 0.0 for i in range(len(tp))] r_c = [float(tp[i].float() / (tp[i] + fn[i]).float()) * 100.0 if tp[i] > 0 else 0.0 for i in range(len(tp))] f_c = [2 * p_c[i] * r_c[i] / (p_c[i] + r_c[i]) if tp[i] > 0 else 0.0 for i in range(len(tp))] p_o = tp.sum().float() / (tp + fp).sum().float() * 100.0 r_o = tp.sum().float() / (tp + fn).sum().float() * 100.0 f_o = 2 * p_o * r_o / (p_o + r_o) if i % 100 == 0: print_log_message('Epoch: [{0}][{1}/{2}]\t' 'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' 'Precision {prec.val:.2f} ({prec.avg:.2f})\t' 'Recall {rec.val:.2f} ({rec.avg:.2f})'.format( epoch, i, len(data_loader), batch_time=batch_time, loss=losses, prec=prec, rec=rec)) return f_o, losses.avg def validate_multi(data_loader, model, criteria, device='cuda'): batch_time = AverageMeter() losses = AverageMeter() prec = AverageMeter() rec = AverageMeter() # switch to evaluate mode model.eval() end = time.time() tp, fp, fn, tn, count = 0, 0, 0, 0, 0 tp_size, fn_size = 0, 0 with torch.no_grad(): for i, (input, target) in enumerate(data_loader): input = input.to(device=device) target = target.to(device=device) original_target = target target = target.max(dim=1)[0] # compute output output = model(input) loss = criteria(output, target.float()) # measure accuracy and record loss pred = output.data.gt(0.0).long() tp += (pred + target).eq(2).sum(dim=0) fp += (pred - target).eq(1).sum(dim=0) fn += (pred - target).eq(-1).sum(dim=0) tn += (pred + target).eq(0).sum(dim=0) three_pred = pred.unsqueeze(1).expand(-1, 3, -1) # n, 3, 80 tp_size += (three_pred + original_target).eq(2).sum(dim=0) fn_size += (three_pred - original_target).eq(-1).sum(dim=0) count += input.size(0) this_tp = (pred + target).eq(2).sum() this_fp = (pred - target).eq(1).sum() this_fn = (pred - target).eq(-1).sum() this_tn = (pred + target).eq(0).sum() this_acc = (this_tp + this_tn).float() / (this_tp + this_tn + this_fp + this_fn).float() this_prec = this_tp.float() / (this_tp + this_fp).float() * 100.0 if this_tp + this_fp != 0 else 0.0 this_rec = this_tp.float() / (this_tp + this_fn).float() * 100.0 if this_tp + this_fn != 0 else 0.0 losses.update(float(loss), input.size(0)) prec.update(float(this_prec), input.size(0)) rec.update(float(this_rec), input.size(0)) # measure elapsed time batch_time.update(time.time() - end) end = time.time() p_c = [float(tp[i].float() / (tp[i] + fp[i]).float()) * 100.0 if tp[i] > 0 else 0.0 for i in range(len(tp))] r_c = [float(tp[i].float() / (tp[i] + fn[i]).float()) * 100.0 if tp[i] > 0 else 0.0 for i in range(len(tp))] f_c = [2 * p_c[i] * r_c[i] / (p_c[i] + r_c[i]) if tp[i] > 0 else 0.0 for i in range(len(tp))] mean_p_c = sum(p_c) / len(p_c) mean_r_c = sum(r_c) / len(r_c) mean_f_c = sum(f_c) / len(f_c) p_o = tp.sum().float() / (tp + fp).sum().float() * 100.0 r_o = tp.sum().float() / (tp + fn).sum().float() * 100.0 f_o = 2 * p_o * r_o / (p_o + r_o) if i % 100 == 0: print_log_message('Test: [{0}/{1}]\t' 'Time {batch_time.val:.3f} ({batch_time.avg:.3f})\t' 'Loss {loss.val:.4f} ({loss.avg:.4f})\t' 'Precision {prec.val:.2f} ({prec.avg:.2f})\t' 'Recall {rec.val:.2f} ({rec.avg:.2f})'.format( i, len(data_loader), batch_time=batch_time, loss=losses, prec=prec, rec=rec)) print('P_C {:.2f} R_C {:.2f} F_C {:.2f} P_O {:.2f} R_O {:.2f} F_O {:.2f}' .format(mean_p_c, mean_r_c, mean_f_c, p_o, r_o, f_o)) print_info_message(' * P_C {:.2f} R_C {:.2f} F_C {:.2f} P_O {:.2f} R_O {:.2f} F_O {:.2f}' .format(mean_p_c, mean_r_c, mean_f_c, p_o, r_o, f_o)) return f_o, losses.avg

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cf887193c27ed79cf906809fa820157e34f294da

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Python

lib/antlr-3.0.1/runtime/Python/unittests/testtree.py

dherre3/mclab-core

ccdcd6f46ee42285c7ad055ff0a9ea3361112e11

[ "Apache-2.0" ]

11

2015-05-31T16:11:35.000Z

2021-02-16T00:04:48.000Z

lib/antlr-3.0.1/runtime/Python/unittests/testtree.py

sshrdp/mclab

1843078edb13e647c0261d1944320ffbcf02ad99

[ "Apache-2.0" ]

12

2015-05-04T16:21:04.000Z

2019-04-24T21:49:33.000Z

lib/antlr-3.0.1/runtime/Python/unittests/testtree.py

sshrdp/mclab

1843078edb13e647c0261d1944320ffbcf02ad99

[ "Apache-2.0" ]

13

2015-05-31T17:16:45.000Z

2021-02-09T17:08:26.000Z

# -*- coding: utf-8 -*- import os import unittest from StringIO import StringIO from antlr3.tree import CommonTreeNodeStream, CommonTree from antlr3 import CommonToken, UP, DOWN, EOF class TestTreeNodeStream(unittest.TestCase): """Test case for the TreeNodeStream class.""" def newStream(self, t): """Build new stream; let's us override to test other streams.""" return CommonTreeNodeStream(t) def testSingleNode(self): t = CommonTree(CommonToken(101)) stream = self.newStream(t) expecting = "101" found = self.toNodesOnlyString(stream) self.failUnlessEqual(expecting, found) expecting = "101" found = str(stream) self.failUnlessEqual(expecting, found) def test4Nodes(self): # ^(101 ^(102 103) 104) t = CommonTree(CommonToken(101)) t.addChild(CommonTree(CommonToken(102))) t.getChild(0).addChild(CommonTree(CommonToken(103))) t.addChild(CommonTree(CommonToken(104))) stream = self.newStream(t) expecting = "101 102 103 104" found = self.toNodesOnlyString(stream) self.failUnlessEqual(expecting, found) expecting = "101 2 102 2 103 3 104 3" found = str(stream) self.failUnlessEqual(expecting, found) def testList(self): root = CommonTree(None) t = CommonTree(CommonToken(101)) t.addChild(CommonTree(CommonToken(102))) t.getChild(0).addChild(CommonTree(CommonToken(103))) t.addChild(CommonTree(CommonToken(104))) u = CommonTree(CommonToken(105)) root.addChild(t) root.addChild(u) stream = CommonTreeNodeStream(root) expecting = "101 102 103 104 105" found = self.toNodesOnlyString(stream) self.failUnlessEqual(expecting, found) expecting = "101 2 102 2 103 3 104 3 105" found = str(stream) self.failUnlessEqual(expecting, found) def testFlatList(self): root = CommonTree(None) root.addChild(CommonTree(CommonToken(101))) root.addChild(CommonTree(CommonToken(102))) root.addChild(CommonTree(CommonToken(103))) stream = CommonTreeNodeStream(root) expecting = "101 102 103" found = self.toNodesOnlyString(stream) self.failUnlessEqual(expecting, found) expecting = "101 102 103" found = str(stream) self.failUnlessEqual(expecting, found) def testListWithOneNode(self): root = CommonTree(None) root.addChild(CommonTree(CommonToken(101))) stream = CommonTreeNodeStream(root) expecting = "101" found = self.toNodesOnlyString(stream) self.failUnlessEqual(expecting, found) expecting = "101" found = str(stream) self.failUnlessEqual(expecting, found) def testAoverB(self): t = CommonTree(CommonToken(101)) t.addChild(CommonTree(CommonToken(102))) stream = self.newStream(t) expecting = "101 102" found = self.toNodesOnlyString(stream) self.failUnlessEqual(expecting, found) expecting = "101 2 102 3" found = str(stream) self.failUnlessEqual(expecting, found) def testLT(self): # ^(101 ^(102 103) 104) t = CommonTree(CommonToken(101)) t.addChild(CommonTree(CommonToken(102))) t.getChild(0).addChild(CommonTree(CommonToken(103))) t.addChild(CommonTree(CommonToken(104))) stream = self.newStream(t) self.failUnlessEqual(101, stream.LT(1).getType()) self.failUnlessEqual(DOWN, stream.LT(2).getType()) self.failUnlessEqual(102, stream.LT(3).getType()) self.failUnlessEqual(DOWN, stream.LT(4).getType()) self.failUnlessEqual(103, stream.LT(5).getType()) self.failUnlessEqual(UP, stream.LT(6).getType()) self.failUnlessEqual(104, stream.LT(7).getType()) self.failUnlessEqual(UP, stream.LT(8).getType()) self.failUnlessEqual(EOF, stream.LT(9).getType()) # check way ahead self.failUnlessEqual(EOF, stream.LT(100).getType()) def testMarkRewindEntire(self): # ^(101 ^(102 103 ^(106 107) ) 104 105) # stream has 7 real + 6 nav nodes # Sequence of types: 101 DN 102 DN 103 106 DN 107 UP UP 104 105 UP EOF r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r0.addChild(r1) r1.addChild(CommonTree(CommonToken(103))) r2 = CommonTree(CommonToken(106)) r2.addChild(CommonTree(CommonToken(107))) r1.addChild(r2) r0.addChild(CommonTree(CommonToken(104))) r0.addChild(CommonTree(CommonToken(105))) stream = CommonTreeNodeStream(r0) m = stream.mark() # MARK for _ in range(13): # consume til end stream.LT(1) stream.consume() self.failUnlessEqual(EOF, stream.LT(1).getType()) self.failUnlessEqual(UP, stream.LT(-1).getType()) stream.rewind(m) # REWIND # consume til end again :) for _ in range(13): # consume til end stream.LT(1) stream.consume() self.failUnlessEqual(EOF, stream.LT(1).getType()) self.failUnlessEqual(UP, stream.LT(-1).getType()) def testMarkRewindInMiddle(self): # ^(101 ^(102 103 ^(106 107) ) 104 105) # stream has 7 real + 6 nav nodes # Sequence of types: 101 DN 102 DN 103 106 DN 107 UP UP 104 105 UP EOF r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r0.addChild(r1) r1.addChild(CommonTree(CommonToken(103))) r2 = CommonTree(CommonToken(106)) r2.addChild(CommonTree(CommonToken(107))) r1.addChild(r2) r0.addChild(CommonTree(CommonToken(104))) r0.addChild(CommonTree(CommonToken(105))) stream = CommonTreeNodeStream(r0) for _ in range(7): # consume til middle #System.out.println(tream.LT(1).getType()) stream.consume() self.failUnlessEqual(107, stream.LT(1).getType()) m = stream.mark() # MARK stream.consume() # consume 107 stream.consume() # consume UP stream.consume() # consume UP stream.consume() # consume 104 stream.rewind(m) # REWIND self.failUnlessEqual(107, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(UP, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(UP, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(104, stream.LT(1).getType()) stream.consume() # now we're past rewind position self.failUnlessEqual(105, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(UP, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(EOF, stream.LT(1).getType()) self.failUnlessEqual(UP, stream.LT(-1).getType()) def testMarkRewindNested(self): # ^(101 ^(102 103 ^(106 107) ) 104 105) # stream has 7 real + 6 nav nodes # Sequence of types: 101 DN 102 DN 103 106 DN 107 UP UP 104 105 UP EOF r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r0.addChild(r1) r1.addChild(CommonTree(CommonToken(103))) r2 = CommonTree(CommonToken(106)) r2.addChild(CommonTree(CommonToken(107))) r1.addChild(r2) r0.addChild(CommonTree(CommonToken(104))) r0.addChild(CommonTree(CommonToken(105))) stream = CommonTreeNodeStream(r0) m = stream.mark() # MARK at start stream.consume() # consume 101 stream.consume() # consume DN m2 = stream.mark() # MARK on 102 stream.consume() # consume 102 stream.consume() # consume DN stream.consume() # consume 103 stream.consume() # consume 106 stream.rewind(m2) # REWIND to 102 self.failUnlessEqual(102, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() # stop at 103 and rewind to start stream.rewind(m) # REWIND to 101 self.failUnlessEqual(101, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(102, stream.LT(1).getType()) stream.consume() self.failUnlessEqual(DOWN, stream.LT(1).getType()) def testSeek(self): # ^(101 ^(102 103 ^(106 107) ) 104 105) # stream has 7 real + 6 nav nodes # Sequence of types: 101 DN 102 DN 103 106 DN 107 UP UP 104 105 UP EOF r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r0.addChild(r1) r1.addChild(CommonTree(CommonToken(103))) r2 = CommonTree(CommonToken(106)) r2.addChild(CommonTree(CommonToken(107))) r1.addChild(r2) r0.addChild(CommonTree(CommonToken(104))) r0.addChild(CommonTree(CommonToken(105))) stream = CommonTreeNodeStream(r0) stream.consume() # consume 101 stream.consume() # consume DN stream.consume() # consume 102 stream.seek(7) # seek to 107 self.failUnlessEqual(107, stream.LT(1).getType()) stream.consume() # consume 107 stream.consume() # consume UP stream.consume() # consume UP self.failUnlessEqual(104, stream.LT(1).getType()) def testSeekFromStart(self): # ^(101 ^(102 103 ^(106 107) ) 104 105) # stream has 7 real + 6 nav nodes # Sequence of types: 101 DN 102 DN 103 106 DN 107 UP UP 104 105 UP EOF r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r0.addChild(r1) r1.addChild(CommonTree(CommonToken(103))) r2 = CommonTree(CommonToken(106)) r2.addChild(CommonTree(CommonToken(107))) r1.addChild(r2) r0.addChild(CommonTree(CommonToken(104))) r0.addChild(CommonTree(CommonToken(105))) stream = CommonTreeNodeStream(r0) stream.seek(7) # seek to 107 self.failUnlessEqual(107, stream.LT(1).getType()) stream.consume() # consume 107 stream.consume() # consume UP stream.consume() # consume UP self.failUnlessEqual(104, stream.LT(1).getType()) def toNodesOnlyString(self, nodes): buf = [] for i in range(nodes.size()): t = nodes.LT(i+1) type = nodes.getTreeAdaptor().getType(t) if not (type==DOWN or type==UP): buf.append(str(type)) return ' '.join(buf) class TestCommonTreeNodeStream(unittest.TestCase): """Test case for the CommonTreeNodeStream class.""" def testPushPop(self): # ^(101 ^(102 103) ^(104 105) ^(106 107) 108 109) # stream has 9 real + 8 nav nodes # Sequence of types: 101 DN 102 DN 103 UP 104 DN 105 UP 106 DN 107 UP 108 109 UP r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r1.addChild(CommonTree(CommonToken(103))) r0.addChild(r1) r2 = CommonTree(CommonToken(104)) r2.addChild(CommonTree(CommonToken(105))) r0.addChild(r2) r3 = CommonTree(CommonToken(106)) r3.addChild(CommonTree(CommonToken(107))) r0.addChild(r3) r0.addChild(CommonTree(CommonToken(108))) r0.addChild(CommonTree(CommonToken(109))) stream = CommonTreeNodeStream(r0) expecting = "101 2 102 2 103 3 104 2 105 3 106 2 107 3 108 109 3" found = str(stream) self.failUnlessEqual(expecting, found) # Assume we want to hit node 107 and then "call 102" then return indexOf102 = 2 indexOf107 = 12 for _ in range(indexOf107):# consume til 107 node stream.consume() # CALL 102 self.failUnlessEqual(107, stream.LT(1).getType()) stream.push(indexOf102) self.failUnlessEqual(102, stream.LT(1).getType()) stream.consume() # consume 102 self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() # consume DN self.failUnlessEqual(103, stream.LT(1).getType()) stream.consume() # consume 103 self.failUnlessEqual(UP, stream.LT(1).getType()) # RETURN stream.pop() self.failUnlessEqual(107, stream.LT(1).getType()) def testNestedPushPop(self): # ^(101 ^(102 103) ^(104 105) ^(106 107) 108 109) # stream has 9 real + 8 nav nodes # Sequence of types: 101 DN 102 DN 103 UP 104 DN 105 UP 106 DN 107 UP 108 109 UP r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r1.addChild(CommonTree(CommonToken(103))) r0.addChild(r1) r2 = CommonTree(CommonToken(104)) r2.addChild(CommonTree(CommonToken(105))) r0.addChild(r2) r3 = CommonTree(CommonToken(106)) r3.addChild(CommonTree(CommonToken(107))) r0.addChild(r3) r0.addChild(CommonTree(CommonToken(108))) r0.addChild(CommonTree(CommonToken(109))) stream = CommonTreeNodeStream(r0) # Assume we want to hit node 107 and then "call 102", which # calls 104, then return indexOf102 = 2 indexOf107 = 12 for _ in range(indexOf107): # consume til 107 node stream.consume() self.failUnlessEqual(107, stream.LT(1).getType()) # CALL 102 stream.push(indexOf102) self.failUnlessEqual(102, stream.LT(1).getType()) stream.consume() # consume 102 self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() # consume DN self.failUnlessEqual(103, stream.LT(1).getType()) stream.consume() # consume 103 # CALL 104 indexOf104 = 6 stream.push(indexOf104) self.failUnlessEqual(104, stream.LT(1).getType()) stream.consume() # consume 102 self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() # consume DN self.failUnlessEqual(105, stream.LT(1).getType()) stream.consume() # consume 103 self.failUnlessEqual(UP, stream.LT(1).getType()) # RETURN (to UP node in 102 subtree) stream.pop() self.failUnlessEqual(UP, stream.LT(1).getType()) # RETURN (to empty stack) stream.pop() self.failUnlessEqual(107, stream.LT(1).getType()) def testPushPopFromEOF(self): # ^(101 ^(102 103) ^(104 105) ^(106 107) 108 109) # stream has 9 real + 8 nav nodes # Sequence of types: 101 DN 102 DN 103 UP 104 DN 105 UP 106 DN 107 UP 108 109 UP r0 = CommonTree(CommonToken(101)) r1 = CommonTree(CommonToken(102)) r1.addChild(CommonTree(CommonToken(103))) r0.addChild(r1) r2 = CommonTree(CommonToken(104)) r2.addChild(CommonTree(CommonToken(105))) r0.addChild(r2) r3 = CommonTree(CommonToken(106)) r3.addChild(CommonTree(CommonToken(107))) r0.addChild(r3) r0.addChild(CommonTree(CommonToken(108))) r0.addChild(CommonTree(CommonToken(109))) stream = CommonTreeNodeStream(r0) while stream.LA(1) != EOF: stream.consume() indexOf102 = 2 indexOf104 = 6 self.failUnlessEqual(EOF, stream.LT(1).getType()) # CALL 102 stream.push(indexOf102) self.failUnlessEqual(102, stream.LT(1).getType()) stream.consume() # consume 102 self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() # consume DN self.failUnlessEqual(103, stream.LT(1).getType()) stream.consume() # consume 103 self.failUnlessEqual(UP, stream.LT(1).getType()) # RETURN (to empty stack) stream.pop() self.failUnlessEqual(EOF, stream.LT(1).getType()) # CALL 104 stream.push(indexOf104) self.failUnlessEqual(104, stream.LT(1).getType()) stream.consume() # consume 102 self.failUnlessEqual(DOWN, stream.LT(1).getType()) stream.consume() # consume DN self.failUnlessEqual(105, stream.LT(1).getType()) stream.consume() # consume 103 self.failUnlessEqual(UP, stream.LT(1).getType()) # RETURN (to empty stack) stream.pop() self.failUnlessEqual(EOF, stream.LT(1).getType()) if __name__ == "__main__": unittest.main(testRunner=unittest.TextTestRunner(verbosity=2))

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null

0

7

d84b58b10fc6d23e4b3f5fe80c0aa69a675237c1

3,956

py

Python

lib/restler/decorators.py

agostodev/agar

66b7937a35ae93717d5e9683c7dc7c80c4bcc5d6

[ "MIT" ]

1

2015-07-22T15:58:06.000Z

lib/restler/decorators.py

agostodev/agar

66b7937a35ae93717d5e9683c7dc7c80c4bcc5d6

[ "MIT" ]

null

lib/restler/decorators.py

agostodev/agar

66b7937a35ae93717d5e9683c7dc7c80c4bcc5d6

[ "MIT" ]

null

def ae_common_encoder(obj): """ Common type specific encoders for app engine """ from google.appengine.api import users if isinstance(obj, users.User): return obj.user_id() or obj.email() def ae_common_extra_types(obj): """ Non-core python or app engine specific types that can be serialized """ from webapp2 import cached_property if isinstance(obj, cached_property): return True else: return False def ae_db_serializer(cls): """ Restler class decorator for google.appengine.ext.db.Model for serialization """ from google.appengine.ext import blobstore, db @classmethod def restler_collection_types(cls, obj): """ Allows Restler to handle a collection type by retrieving the models """ if isinstance(obj, db.Query): return True else: return False @classmethod def restler_encoder(cls, obj): """ Type specific encoders """ if isinstance(obj, db.GeoPt): return "%s %s" % (obj.lat, obj.lon) if isinstance(obj, db.IM): return "%s %s" % (obj.protocol, obj.address) if isinstance(obj, blobstore.BlobInfo): return str(obj.key()) # TODO is this correct? if ae_common_encoder(obj): return ae_common_encoder(obj) @classmethod def restler_kind(cls, model): """ The lowercase model classname """ return model.kind().lower() @classmethod def restler_properties(cls, model): """ List of model property names if *include_all_fields=True* Property must be from **google.appengine.ext.db.Property** """ return list(model.properties().iterkeys()) @classmethod def restler_extra_types(cls, obj): """ Non-core python or app engine specific types that can be serialized """ return ae_common_extra_types(obj) cls.restler_collection_types = restler_collection_types cls.restler_encoder = restler_encoder cls.restler_kind = restler_kind cls.restler_properties = restler_properties cls.restler_extra_types = restler_extra_types return cls def ae_ndb_serializer(cls): """ Restler class decorator for google.appengine.ext.ndb.Model for serialization """ from google.appengine.ext import ndb @classmethod def restler_collection_types(cls, obj): """ Allows Restler to handle a collection type by retrieving the models """ if isinstance(obj, ndb.query.Query): return True else: return False @classmethod def restler_encoder(cls, obj): """ Type specific encoders """ if isinstance(obj, ndb.GeoPt): return "%s %s" % (obj.lat, obj.lon) if ae_common_encoder(obj): return ae_common_encoder(obj) @classmethod def restler_kind(cls, model): """ The lowercase model classname """ try: return model.__class__.__name__.lower() except: # TODO When is this the case? return model.__name__.lower() @classmethod def restler_properties(cls, model): """ List of model property names if *include_all_fields=True* Property must be from **google.appengine.ext.ndb.Property** """ return list(model._properties.iterkeys()) @classmethod def restler_extra_types(cls, obj): """ Non-core python or app engine specific types that can be serialized """ return ae_common_extra_types(obj) cls.restler_collection_types = restler_collection_types cls.restler_encoder = restler_encoder cls.restler_kind = restler_kind cls.restler_properties = restler_properties cls.restler_extra_types = restler_extra_types return cls

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Python

deepobs/pytorch/runners/runner.py

H0merJayS1mpson/deepobscustom

e85816ce42466326dac18841c58b79f87a4a1a7c

[ "MIT" ]

null

deepobs/pytorch/runners/runner.py

H0merJayS1mpson/deepobscustom

e85816ce42466326dac18841c58b79f87a4a1a7c

[ "MIT" ]

null

deepobs/pytorch/runners/runner.py

H0merJayS1mpson/deepobscustom

e85816ce42466326dac18841c58b79f87a4a1a7c

[ "MIT" ]

null

"""Module implementing StandardRunner.""" from __future__ import print_function import torch import importlib import abc from deepobs import config as global_config from .. import config from .. import testproblems from . import runner_utils from deepobs.abstract_runner.abstract_runner import Runner import numpy as np import warnings from random import seed from copy import deepcopy class PTRunner(Runner): """The abstract class for runner in the pytorch framework.""" def __init__(self, optimizer_class, hyperparameter_names): super(PTRunner, self).__init__(optimizer_class, hyperparameter_names) @abc.abstractmethod def training(self, tproblem, hyperparams, num_epochs, print_train_iter, train_log_interval, tb_log, tb_log_dir, **training_params): return @staticmethod def create_testproblem(testproblem, initializations, batch_size, weight_decay, random_seed): """Sets up the deepobs.pytorch.testproblems.testproblem instance. Args: testproblem (str): The name of the testproblem. batch_size (int): Batch size that is used for training weight_decay (float): Regularization factor random_seed (int): The random seed of the framework Returns: deepobs.pytorch.testproblems.testproblem: An instance of deepobs.pytorch.testproblems.testproblem """ # set the seed and GPU determinism if config.get_is_deterministic(): torch.backends.cudnn.deterministic = True torch.backends.cudnn.benchmark = False else: torch.backends.cudnn.deterministic = False torch.backends.cudnn.benchmark = True seed(random_seed) np.random.seed(random_seed) torch.manual_seed(random_seed) # Find testproblem by name and instantiate with batch size and weight decay. try: testproblem_mod = importlib.import_module(testproblem) testproblem_cls = getattr(testproblem_mod, testproblem) print("Loading local testproblem.") except: testproblem_cls = getattr(testproblems, testproblem) # if the user specified a weight decay, use that one if weight_decay is not None: tproblem = testproblem_cls(batch_size, weight_decay) # else use the default of the testproblem else: tproblem = testproblem_cls(batch_size) # Set up the testproblem. tproblem.set_up(initializations) return tproblem # Wrapper functions for the evaluation phase. @staticmethod def evaluate(tproblem, phase, get_next_batch=True): """Evaluates the performance of the current state of the model of the testproblem instance. Has to be called in the beggining of every epoch within the training method. Returns the losses and accuracies. Args: tproblem (testproblem): The testproblem instance to evaluate phase (str): The phase of the evaluation. Must be one of 'TRAIN', 'VALID' or 'TEST' Returns: float: The loss of the current state. float: The accuracy of the current state. :param get_next_batch: """ if phase == 'TEST': tproblem.test_init_op() msg = "TEST:" elif phase == 'TRAIN': tproblem.train_eval_init_op() msg = "TRAIN:" elif phase == 'VALID': tproblem.valid_init_op() msg = "VALID:" # evaluation loop over every batch of the corresponding evaluation set loss = 0.0 accuracy = 0.0 batchCount = 0.0 i = 0 while True: try: batch_loss, batch_accuracy = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) batchCount += 1.0 loss += batch_loss.item() accuracy += batch_accuracy except StopIteration: break loss /= batchCount accuracy /= batchCount if accuracy != 0.0: print("{0:s} loss {1:g}, acc {2:f}".format(msg, loss, accuracy)) else: print("{0:s} loss {1:g}".format(msg, loss)) return loss, accuracy def evaluate_all(self, epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, get_next_batch=True): print("********************************") print("Evaluating after {0:d} of {1:d} epochs...".format(epoch_count, num_epochs)) loss_, acc_ = self.evaluate(tproblem, phase='TRAIN', get_next_batch=get_next_batch) train_losses.append(loss_) train_accuracies.append(acc_) loss_, acc_ = self.evaluate(tproblem, phase='VALID', get_next_batch=get_next_batch) valid_losses.append(loss_) valid_accuracies.append(acc_) loss_, acc_ = self.evaluate(tproblem, phase='TEST', get_next_batch=get_next_batch) test_losses.append(loss_) test_accuracies.append(acc_) print("********************************") class StandardRunner(PTRunner): """A standard runner. Can run a normal training loop with fixed hyperparams. It should be used as a template to implement custom runners. """ def __init__(self, optimizer_class, hyperparameter_names): super(StandardRunner, self).__init__(optimizer_class, hyperparameter_names) def training(self, tproblem, hyperparams, num_epochs, print_train_iter, train_log_interval, tb_log, tb_log_dir): opt = self._optimizer_class(tproblem.net.parameters(), **hyperparams) # Lists to log train/test loss and accuracy. train_losses = [] valid_losses = [] test_losses = [] train_accuracies = [] valid_accuracies = [] test_accuracies = [] minibatch_train_losses = [] if tb_log: try: from torch.utils.tensorboard import SummaryWriter summary_writer = SummaryWriter(log_dir=tb_log_dir) except ImportError as e: warnings.warn('Not possible to use tensorboard for pytorch. Reason: ' + e.msg, RuntimeWarning) tb_log = False global_step = 0 for epoch_count in range(num_epochs + 1): # Evaluate at beginning of epoch. self.evaluate_all(epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies) # Break from train loop after the last round of evaluation if epoch_count == num_epochs: break ### Training ### # set to training mode tproblem.train_init_op() batch_count = 0 while True: try: opt.zero_grad() batch_loss, _ = tproblem.get_batch_loss_and_accuracy() batch_loss.backward() opt.step() if batch_count % train_log_interval == 0: minibatch_train_losses.append(batch_loss.item()) if print_train_iter: print("Epoch {0:d}, step {1:d}: loss {2:g}".format(epoch_count, batch_count, batch_loss)) if tb_log: summary_writer.add_scalar('loss', batch_loss.item(), global_step) batch_count += 1 global_step += 1 except StopIteration: break if not np.isfinite(batch_loss.item()): self._abort_routine( epoch_count, num_epochs, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, minibatch_train_losses) break else: continue if tb_log: summary_writer.close() # Put results into output dictionary. output = { "train_losses": train_losses, 'valid_losses': valid_losses, "test_losses": test_losses, "minibatch_train_losses": minibatch_train_losses, "train_accuracies": train_accuracies, 'valid_accuracies': valid_accuracies, "test_accuracies": test_accuracies } return output class LearningRateScheduleRunner(PTRunner): """A runner for learning rate schedules. Can run a normal training loop with fixed hyperparams or a learning rate schedule. It should be used as a template to implement custom runners. """ def __init__(self, optimizer_class, hyperparameter_names): super(LearningRateScheduleRunner, self).__init__(optimizer_class, hyperparameter_names) def _add_training_params_to_argparse(self, parser, args, training_params): try: args['lr_sched_epochs'] = training_params['lr_sched_epochs'] except KeyError: parser.add_argument( "--lr_sched_epochs", nargs="+", type=int, help="""One or more epoch numbers (positive integers) that mark learning rate changes. The base learning rate has to be passed via '--learing_rate' and the factors by which to change have to be passed via '--lr_sched_factors'. Example: '--lr 0.3 --lr_sched_epochs 50 100 --lr_sched_factors 0.1 0.01' will start with a learning rate of 0.3, then decrease to 0.1*0.3=0.03 after training for 50 epochs, and decrease to 0.01*0.3=0.003' after training for 100 epochs.""") try: args['lr_sched_factors'] = training_params['lr_sched_factors'] except KeyError: parser.add_argument( "--lr_sched_factors", nargs="+", type=float, help="""One or more factors (floats) by which to change the learning rate. The base learning rate has to be passed via '--learing_rate' and the epochs at which to change the learning rate have to be passed via '--lr_sched_factors'. Example: '--lr 0.3 --lr_sched_epochs 50 100 --lr_sched_factors 0.1 0.01' will start with a learning rate of 0.3, then decrease to 0.1*0.3=0.03 after training for 50 epochs, and decrease to 0.01*0.3=0.003' after training for 100 epochs.""") def training(self, tproblem, hyperparams, num_epochs, print_train_iter, train_log_interval, tb_log, tb_log_dir, # the following are the training_params lr_sched_epochs=None, lr_sched_factors=None): """Performs the training and stores the metrices. Args: tproblem (deepobs.[tensorflow/pytorch].testproblems.testproblem): The testproblem instance to train on. hyperparams (dict): The optimizer hyperparameters to use for the training. num_epochs (int): The number of training epochs. print_train_iter (bool): Whether to print the training progress at every train_log_interval train_log_interval (int): Mini-batch interval for logging. tb_log (bool): Whether to use tensorboard logging or not tb_log_dir (str): The path where to save tensorboard events. lr_sched_epochs (list): The epochs where to adjust the learning rate. lr_sched_factors (list): The corresponding factors by which to adjust the learning rate. Returns: dict: The logged metrices. Is of the form: \ {'test_losses' : [...], \ 'valid_losses': [...], \ 'train_losses': [...], \ 'test_accuracies': [...], \ 'valid_accuracies': [...], \ 'train_accuracies': [...] \ } \ where the metrices values are lists that were filled during training. """ opt = self._optimizer_class(tproblem.net.parameters(), **hyperparams) if lr_sched_epochs is not None: lr_schedule = runner_utils.make_lr_schedule(optimizer=opt, lr_sched_epochs=lr_sched_epochs, lr_sched_factors=lr_sched_factors) # Lists to log train/test loss and accuracy. train_losses = [] valid_losses = [] test_losses = [] train_accuracies = [] valid_accuracies = [] test_accuracies = [] minibatch_train_losses = [] for epoch_count in range(num_epochs + 1): # Evaluate at beginning of epoch. self.evaluate_all(epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies) # Break from train loop after the last round of evaluation if epoch_count == num_epochs: break ### Training ### if lr_sched_epochs is not None: # get the next learning rate lr_schedule.step(epoch_count) if epoch_count in lr_sched_epochs: print("Setting learning rate to {0}".format(lr_schedule.get_lr())) # set to training mode tproblem.train_init_op() batch_count = 0 while True: try: opt.zero_grad() batch_loss, _ = tproblem.get_batch_loss_and_accuracy() batch_loss.backward() opt.step() if batch_count % train_log_interval == 0: minibatch_train_losses.append(batch_loss.item()) if print_train_iter: print("Epoch {0:d}, step {1:d}: loss {2:g}".format(epoch_count, batch_count, batch_loss)) batch_count += 1 except StopIteration: break # break from training if it goes wrong if not np.isfinite(batch_loss.item()): self._abort_routine(epoch_count, num_epochs, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies) break else: continue # Put results into output dictionary. output = { "train_losses": train_losses, "valid_losses": valid_losses, "test_losses": test_losses, "minibatch_train_losses": minibatch_train_losses, "train_accuracies": train_accuracies, 'valid_accuracies': valid_accuracies, "test_accuracies": test_accuracies } return output class CustomRunner(PTRunner): """A standard runner. Can run a normal training loop with fixed hyperparams. It should be used as a template to implement custom runners. """ def evaluate(tproblem, phase, get_next_batch=True): """Evaluates the performance of the current state of the model of the testproblem instance. Has to be called in the beggining of every epoch within the training method. Returns the losses and accuracies. Args: tproblem (testproblem): The testproblem instance to evaluate phase (str): The phase of the evaluation. Must be one of 'TRAIN', 'VALID' or 'TEST' Returns: float: The loss of the current state. float: The accuracy of the current state. :param get_next_batch: """ if phase == 'TEST': tproblem.test_init_op() msg = "TEST:" elif phase == 'TRAIN': tproblem.train_eval_init_op() msg = "TRAIN:" elif phase == 'VALID': tproblem.valid_init_op() msg = "VALID:" # evaluation loop over every batch of the corresponding evaluation set loss = 0.0 accuracy = 0.0 batchCount = 0.0 while True: try: batch_loss, batch_accuracy = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) batchCount += 1.0 loss += batch_loss.item() accuracy += batch_accuracy except StopIteration: break loss /= batchCount accuracy /= batchCount if accuracy != 0.0: print("{0:s} loss {1:g}, acc {2:f}".format(msg, loss, accuracy)) else: print("{0:s} loss {1:g}".format(msg, loss)) return loss, accuracy def evaluate_all(self, epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, get_next_batch=True): print("********************************") print("Evaluating after {0:d} of {1:d} epochs...".format(epoch_count, num_epochs)) loss_, acc_ = CustomRunner.evaluate(tproblem, phase='TRAIN', get_next_batch=get_next_batch) train_losses.append(loss_) train_accuracies.append(acc_) loss_, acc_ = CustomRunner.evaluate(tproblem, phase='VALID', get_next_batch=get_next_batch) valid_losses.append(loss_) valid_accuracies.append(acc_) loss_, acc_ = CustomRunner.evaluate(tproblem, phase='TEST', get_next_batch=get_next_batch) test_losses.append(loss_) test_accuracies.append(acc_) print("********************************") def __init__(self, optimizer_class, hyperparameter_names): super(CustomRunner, self).__init__(optimizer_class, hyperparameter_names) def create_testproblem(self, testproblem, initializations, batch_size, weight_decay, random_seed): """Sets up the deepobs.pytorch.testproblems.testproblem instance. Args: testproblem (str): The name of the testproblem. batch_size (int): Batch size that is used for training weight_decay (float): Regularization factor random_seed (int): The random seed of the framework :param initializations: dictionary of the initialazation Methods per layer-Name Returns: deepobs.pytorch.testproblems.testproblem: An instance of deepobs.pytorch.testproblems.testproblem """ # set the seed and GPU determinism if config.get_is_deterministic(): torch.backends.cudnn.deterministic = True torch.backends.cudnn.benchmark = False else: torch.backends.cudnn.deterministic = False torch.backends.cudnn.benchmark = True seed(random_seed) np.random.seed(random_seed) torch.manual_seed(random_seed) # Find testproblem by name and instantiate with batch size and weight decay. try: testproblem_mod = importlib.import_module(testproblem) testproblem_cls = getattr(testproblem_mod, testproblem) print("Loading local testproblem.") except: testproblem_cls = getattr(testproblems, testproblem) # if the user specified a weight decay, use that one if weight_decay is not None: tproblem = testproblem_cls(batch_size, weight_decay) # else use the default of the testproblem else: tproblem = testproblem_cls(batch_size) # Set up the testproblem. tproblem.set_up(initializations) return tproblem def training(self, tproblem, hyperparams, num_epochs, print_train_iter, train_log_interval, tb_log, tb_log_dir): opt = self._optimizer_class(tproblem.net.parameters(), **hyperparams) # Lists to log train/test loss and accuracy. train_losses = [] valid_losses = [] test_losses = [] train_accuracies = [] valid_accuracies = [] test_accuracies = [] minibatch_train_losses = [] if tb_log: try: from torch.utils.tensorboard import SummaryWriter summary_writer = SummaryWriter(log_dir=tb_log_dir) except ImportError as e: warnings.warn('Not possible to use tensorboard for pytorch. Reason: ' + e.msg, RuntimeWarning) tb_log = False global_step = 0 for epoch_count in range(num_epochs + 1): # Evaluate at beginning of epoch. self.evaluate_all(epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies) # Break from train loop after the last round of evaluation if epoch_count == num_epochs: break ### Training ### # set to training mode tproblem.train_init_op() batch_count = 0 while True: try: #opt.zero_grad() def closure(backward=True, get_next_batch=True): opt.zero_grad() batch_loss, _ = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) if backward: batch_loss.backward() return batch_loss batch_loss = opt.step(closure) if batch_count % train_log_interval == 0: minibatch_train_losses.append(batch_loss.item()) if print_train_iter: print("Epoch {0:d}, step {1:d}: loss {2:g}".format(epoch_count, batch_count, batch_loss)) if tb_log: summary_writer.add_scalar('loss', batch_loss.item(), global_step) batch_count += 1 global_step += 1 except StopIteration: break if not np.isfinite(batch_loss.item()): self._abort_routine( epoch_count, num_epochs, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, minibatch_train_losses) break else: continue if tb_log: summary_writer.close() # Put results into output dictionary. output = { "train_losses": train_losses, 'valid_losses': valid_losses, "test_losses": test_losses, "minibatch_train_losses": minibatch_train_losses, "train_accuracies": train_accuracies, 'valid_accuracies': valid_accuracies, "test_accuracies": test_accuracies } return output class CustomLearningRateScheduleRunner(PTRunner): """A runner for learning rate schedules. Can run a normal training loop with fixed hyperparams or a learning rate schedule. It should be used as a template to implement custom runners. """ def __init__(self, optimizer_class, hyperparameter_names): super(CustomLearningRateScheduleRunner, self).__init__(optimizer_class, hyperparameter_names) def _add_training_params_to_argparse(self, parser, args, training_params): try: args['lr_sched_epochs'] = training_params['lr_sched_epochs'] except KeyError: parser.add_argument( "--lr_sched_epochs", nargs="+", type=int, help="""One or more epoch numbers (positive integers) that mark learning rate changes. The base learning rate has to be passed via '--learing_rate' and the factors by which to change have to be passed via '--lr_sched_factors'. Example: '--lr 0.3 --lr_sched_epochs 50 100 --lr_sched_factors 0.1 0.01' will start with a learning rate of 0.3, then decrease to 0.1*0.3=0.03 after training for 50 epochs, and decrease to 0.01*0.3=0.003' after training for 100 epochs.""") try: args['lr_sched_factors'] = training_params['lr_sched_factors'] except KeyError: parser.add_argument( "--lr_sched_factors", nargs="+", type=float, help= """One or more factors (floats) by which to change the learning rate. The base learning rate has to be passed via '--learing_rate' and the epochs at which to change the learning rate have to be passed via '--lr_sched_factors'. Example: '--lr 0.3 --lr_sched_epochs 50 100 --lr_sched_factors 0.1 0.01' will start with a learning rate of 0.3, then decrease to 0.1*0.3=0.03 after training for 50 epochs, and decrease to 0.01*0.3=0.003' after training for 100 epochs.""") def create_testproblem(self, testproblem, initializations, batch_size, weight_decay, random_seed): """Sets up the deepobs.pytorch.testproblems.testproblem instance. Args: testproblem (str): The name of the testproblem. batch_size (int): Batch size that is used for training weight_decay (float): Regularization factor random_seed (int): The random seed of the framework :param initializations: dictionary of the initialazation Methods per layer-Name Returns: deepobs.pytorch.testproblems.testproblem: An instance of deepobs.pytorch.testproblems.testproblem """ # set the seed and GPU determinism if config.get_is_deterministic(): torch.backends.cudnn.deterministic = True torch.backends.cudnn.benchmark = False else: torch.backends.cudnn.deterministic = False torch.backends.cudnn.benchmark = True seed(random_seed) np.random.seed(random_seed) torch.manual_seed(random_seed) # Find testproblem by name and instantiate with batch size and weight decay. try: testproblem_mod = importlib.import_module(testproblem) testproblem_cls = getattr(testproblem_mod, testproblem) print("Loading local testproblem.") except: testproblem_cls = getattr(testproblems, testproblem) # if the user specified a weight decay, use that one if weight_decay is not None: tproblem = testproblem_cls(batch_size, weight_decay) # else use the default of the testproblem else: tproblem = testproblem_cls(batch_size) # Set up the testproblem. tproblem.set_up(initializations) return tproblem def evaluate(tproblem, phase, get_next_batch=True): """Evaluates the performance of the current state of the model of the testproblem instance. Has to be called in the beggining of every epoch within the training method. Returns the losses and accuracies. Args: tproblem (testproblem): The testproblem instance to evaluate phase (str): The phase of the evaluation. Must be one of 'TRAIN', 'VALID' or 'TEST' Returns: float: The loss of the current state. float: The accuracy of the current state. :param get_next_batch: """ if phase == 'TEST': tproblem.test_init_op() msg = "TEST:" elif phase == 'TRAIN': tproblem.train_eval_init_op() msg = "TRAIN:" elif phase == 'VALID': tproblem.valid_init_op() msg = "VALID:" # evaluation loop over every batch of the corresponding evaluation set loss = 0.0 accuracy = 0.0 batchCount = 0.0 while True: try: batch_loss, batch_accuracy = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) batchCount += 1.0 loss += batch_loss.item() accuracy += batch_accuracy except StopIteration: break loss /= batchCount accuracy /= batchCount if accuracy != 0.0: print("{0:s} loss {1:g}, acc {2:f}".format(msg, loss, accuracy)) else: print("{0:s} loss {1:g}".format(msg, loss)) return loss, accuracy def evaluate_all(self, epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, get_next_batch=True): print("********************************") print("Evaluating after {0:d} of {1:d} epochs...".format(epoch_count, num_epochs)) loss_, acc_ = CustomLearningRateScheduleRunner.evaluate(tproblem, phase='TRAIN', get_next_batch=get_next_batch) train_losses.append(loss_) train_accuracies.append(acc_) loss_, acc_ = CustomLearningRateScheduleRunner.evaluate(tproblem, phase='VALID', get_next_batch=get_next_batch) valid_losses.append(loss_) valid_accuracies.append(acc_) loss_, acc_ = CustomLearningRateScheduleRunner.evaluate(tproblem, phase='TEST', get_next_batch=get_next_batch) test_losses.append(loss_) test_accuracies.append(acc_) print("********************************") def training(self, tproblem, hyperparams, num_epochs, print_train_iter, train_log_interval, tb_log, tb_log_dir, # the following are the training_params lr_sched_epochs=None, lr_sched_factors=None): """Performs the training and stores the metrices. Args: tproblem (deepobs.[tensorflow/pytorch].testproblems.testproblem): The testproblem instance to train on. hyperparams (dict): The optimizer hyperparameters to use for the training. num_epochs (int): The number of training epochs. print_train_iter (bool): Whether to print the training progress at every train_log_interval train_log_interval (int): Mini-batch interval for logging. tb_log (bool): Whether to use tensorboard logging or not tb_log_dir (str): The path where to save tensorboard events. lr_sched_epochs (list): The epochs where to adjust the learning rate. lr_sched_factors (list): The corresponding factors by which to adjust the learning rate. Returns: dict: The logged metrices. Is of the form: \ {'test_losses' : [...], \ 'valid_losses': [...], \ 'train_losses': [...], \ 'test_accuracies': [...], \ 'valid_accuracies': [...], \ 'train_accuracies': [...] \ } \ where the metrices values are lists that were filled during training. """ opt = self._optimizer_class(tproblem.net.parameters(), **hyperparams) if lr_sched_epochs is not None: lr_schedule = runner_utils.make_lr_schedule(optimizer=opt, lr_sched_epochs=lr_sched_epochs, lr_sched_factors=lr_sched_factors) # Lists to log train/test loss and accuracy. train_losses = [] valid_losses = [] test_losses = [] train_accuracies = [] valid_accuracies = [] test_accuracies = [] minibatch_train_losses = [] if tb_log: try: from torch.utils.tensorboard import SummaryWriter summary_writer = SummaryWriter(log_dir=tb_log_dir) except ImportError as e: warnings.warn('Not possible to use tensorboard for pytorch. Reason: ' + e.msg, RuntimeWarning) tb_log = False global_step = 0 for epoch_count in range(num_epochs + 1): # Evaluate at beginning of epoch. self.evaluate_all(epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies) # Break from train loop after the last round of evaluation if epoch_count == num_epochs: break ### Training ### if lr_sched_epochs is not None: # get the next learning rate lr_schedule.step(epoch_count) if epoch_count in lr_sched_epochs: print("Setting learning rate to {0}".format(lr_schedule.get_lr())) # set to training mode tproblem.train_init_op() batch_count = 0 while True: try: opt.zero_grad() def closure(backward=True, get_next_batch=True): # opt.zero_grad() batch_loss, _ = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) if backward: batch_loss.backward() return batch_loss batch_loss = opt.step(closure) if batch_count % train_log_interval == 0: minibatch_train_losses.append(batch_loss.item()) if print_train_iter: print( "Epoch {0:d}, step {1:d}: loss {2:g}".format(epoch_count, batch_count, batch_loss)) if tb_log: summary_writer.add_scalar('loss', batch_loss.item(), global_step) batch_count += 1 global_step += 1 except StopIteration: break if not np.isfinite(batch_loss.item()): self._abort_routine( epoch_count, num_epochs, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, minibatch_train_losses) break else: continue if tb_log: summary_writer.close() # Put results into output dictionary. output = { "train_losses": train_losses, 'valid_losses': valid_losses, "test_losses": test_losses, "minibatch_train_losses": minibatch_train_losses, "train_accuracies": train_accuracies, 'valid_accuracies': valid_accuracies, "test_accuracies": test_accuracies } return output # opt = self._optimizer_class(tproblem.net.parameters(), **hyperparams) # # if lr_sched_epochs is not None: # lr_schedule = runner_utils.make_lr_schedule(optimizer=opt, lr_sched_epochs=lr_sched_epochs, # lr_sched_factors=lr_sched_factors) # # # Lists to log train/test loss and accuracy. # train_losses = [] # valid_losses = [] # test_losses = [] # train_accuracies = [] # valid_accuracies = [] # test_accuracies = [] # # minibatch_train_losses = [] # # for epoch_count in range(num_epochs + 1): # # Evaluate at beginning of epoch. # self.evaluate_all(epoch_count, # num_epochs, # tproblem, # train_losses, # valid_losses, # test_losses, # train_accuracies, # valid_accuracies, # test_accuracies) # # # Break from train loop after the last round of evaluation # if epoch_count == num_epochs: # break # # ### Training ### # if lr_sched_epochs is not None: # # get the next learning rate # lr_schedule.step(epoch_count) # # if epoch_count in lr_sched_epochs: # print("Setting learning rate to {0}".format(lr_schedule.get_lr())) # # # set to training mode # tproblem.train_init_op() # batch_count = 0 # while True: # try: # def closure(backward=True, get_next_batch=True): # # opt.zero_grad() # batch_loss, _ = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) # if backward: # batch_loss.backward() # return batch_loss # # batch_loss = opt.step(closure) # # # if batch_count % train_log_interval == 0: # minibatch_train_losses.append(batch_loss.item()) # if print_train_iter: # print("Epoch {0:d}, step {1:d}: loss {2:g}".format(epoch_count, batch_count, batch_loss)) # batch_count += 1 # # except StopIteration: # break # # # break from training if it goes wrong # if not np.isfinite(batch_loss.item()): # self._abort_routine(epoch_count, # num_epochs, # train_losses, # valid_losses, # test_losses, # train_accuracies, # valid_accuracies, # test_accuracies) # break # else: # continue # # # Put results into output dictionary. # output = { # "train_losses": train_losses, # "valid_losses": valid_losses, # "test_losses": test_losses, # "minibatch_train_losses": minibatch_train_losses, # "train_accuracies": train_accuracies, # 'valid_accuracies': valid_accuracies, # "test_accuracies": test_accuracies # } # # return output class PalRunner(PTRunner): """A standard runner. Can run a normal training loop with fixed hyperparams. It should be used as a template to implement custom runners. """ def evaluate(tproblem, phase, get_next_batch=True): """Evaluates the performance of the current state of the model of the testproblem instance. Has to be called in the beggining of every epoch within the training method. Returns the losses and accuracies. Args: tproblem (testproblem): The testproblem instance to evaluate phase (str): The phase of the evaluation. Must be one of 'TRAIN', 'VALID' or 'TEST' Returns: float: The loss of the current state. float: The accuracy of the current state. :param get_next_batch: """ if phase == 'TEST': tproblem.test_init_op() msg = "TEST:" elif phase == 'TRAIN': tproblem.train_eval_init_op() msg = "TRAIN:" elif phase == 'VALID': tproblem.valid_init_op() msg = "VALID:" # evaluation loop over every batch of the corresponding evaluation set loss = 0.0 accuracy = 0.0 batchCount = 0.0 i = 0 while True: try: batch_loss, batch_accuracy = tproblem.get_batch_loss_and_accuracy(get_next_batch=get_next_batch) batchCount += 1.0 loss += batch_loss.item() accuracy += batch_accuracy except StopIteration: break loss /= batchCount accuracy /= batchCount if accuracy != 0.0: print("{0:s} loss {1:g}, acc {2:f}".format(msg, loss, accuracy)) else: print("{0:s} loss {1:g}".format(msg, loss)) return loss, accuracy def evaluate_all(self, epoch_count, num_epochs, tproblem, train_losses, valid_losses, test_losses, train_accuracies, valid_accuracies, test_accuracies, get_next_batch=True): print("********************************") print("Evaluating after {0:d} of {1:d} epochs...".format(epoch_count, num_epochs)) loss_, acc_ = CustomRunner.evaluate(tproblem, phase='TRAIN', get_next_batch=get_next_batch) train_losses.append(loss_) train_accuracies.append(acc_) loss_, acc_ = CustomRunner.evaluate(tproblem, phase='VALID', get_next_batch=get_next_batch) valid_losses.append(loss_) valid_accuracies.append(acc_) loss_, acc_ = CustomRunner.evaluate(tproblem, phase='TEST', get_next_batch=get_next_batch) test_losses.append(loss_) test_accuracies.append(acc_) print("********************************") def __init__(self, optimizer_class, hyperparameter_names): super(PalRunner, self).__init__(optimizer_class, hyperparameter_names) def create_testproblem(self, testproblem, initializations, batch_size, weight_decay, random_seed): """Sets up the deepobs.pytorch.testproblems.testproblem instance. Args: testproblem (str): The name of the testproblem. batch_size (int): Batch size that is used for training weight_decay (float): Regularization factor random_seed (int): The random seed of the framework :param initializations: dictionary of the initialazation Methods per layer-Name Returns: deepobs.pytorch.testproblems.testproblem: An instance of deepobs.pytorch.testproblems.testproblem """ # set the seed and GPU determinism if config.get_is_deterministic(): torch.backends.cudnn.deterministic = True torch.backends.cudnn.benchmark = False else: torch.backends.cudnn.deterministic = False torch.backends.cudnn.benchmark = True seed(random_seed) np.random.seed(random_seed) torch.manual_seed(random_seed) # Find testproblem by name and instantiate with batch size and weight decay. try: testproblem_mod = importlib.import_module(testproblem) testproblem_cls = getattr(testproblem_mod, testproblem) print("Loading local testproblem.") except: testproblem_cls = getattr(testproblems, testproblem) # if the user specified a weight decay, use that one if weight_decay is not None: tproblem = testproblem_cls(batch_size, weight_decay) # else use the default of the testproblem else: tproblem = testproblem_cls(batch_size) # Set up the testproblem. tproblem.set_up(initializations) return tproblem def training(self, tproblem, hyperparams, num_epochs, print_train_iter, train_log_interval, tb_log, tb_log_dir): opt = self._optimizer_class(tproblem.net.parameters(), **hyperparams) # Lists to log train/test loss and accuracy. train_losses = [] valid_losses = [] test_losses = [] train_accuracies = [] valid_accuracies = [] test_accuracies = [] minibatch_train_losses = [] print(type(tproblem.data)) global_step = 0 net = tproblem.net criterion = tproblem.loss_function() device = tproblem._device data = tproblem.data if tb_log: try: from torch.utils.tensorboard import SummaryWriter summary_writer = SummaryWriter(log_dir=tb_log_dir) except ImportError as e: warnings.warn('Not possible to use tensorboard for pytorch. Reason: ' + e.msg, RuntimeWarning) tb_log = False def valid(epoch_): tproblem.valid_init_op() valid_loss = 0 train_loss = 0 correct = 0 total = 0 with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(data._train_eval_dataloader): inputs, targets = inputs.to(device), targets.to(device) if batch_idx == 0 and epoch_ == 0: intitial_loss = criterion(net(inputs), targets) print("Initial Loss ", intitial_loss, "batch ID: ", batch_idx) #inputs, targets = inputs.to(device), targets.to(device) outputs = net(inputs) loss = criterion(outputs, targets) train_loss += loss.item() _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() acc = correct / total train_losses.append(train_loss / (batch_idx+1)) valid_accuracies.append(acc) print("********************************") print("Evaluating after {0:d} of {1:d} epochs...".format(epoch_, num_epochs)) print("TRAIN:" + "loss {0:g}, acc {1:f}".format((train_loss / (batch_idx+1)), acc)) for batch_idx, (inputs, targets) in enumerate(data._valid_dataloader): inputs, targets = inputs.to(device), targets.to(device) outputs = net(inputs) loss = criterion(outputs, targets) valid_loss += loss.item() _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() acc = correct / total valid_losses.append(valid_loss / (batch_idx+1)) valid_accuracies.append(acc) print("VALID:" + "loss {0:g}, acc {1:f}".format((valid_loss / (batch_idx+1)), acc)) def test(epoch_): global best_acc net.eval() test_loss = 0 correct = 0 total = 0 with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(data._test_dataloader): inputs, targets = inputs.to(device), targets.to(device) outputs = net(inputs) loss = criterion(outputs, targets) test_loss += loss.item() _, predicted = outputs.max(1) total += targets.size(0) correct += predicted.eq(targets).sum().item() acc = correct / total test_accuracies.append(acc) test_losses.append(test_loss/(batch_idx+1)) print("TEST:" + "loss {0:g}, acc {1:f}".format(test_loss/(batch_idx+1), acc)) print("********************************") def train(epoch_): batch_size = 0 tproblem.train_init_op() train_loss = 0 correct = 0 total = 0 for batch_idx, (inputs, targets) in enumerate(data._train_dataloader): inputs, targets = inputs.to(device), targets.to(device) opt.zero_grad() batch_size +=1 # print("batch ID: ", batch_idx) # print(inputs.size()) # if batch_idx == 0 and epoch_ == 0: # intitial_loss = criterion(net(inputs), targets) # print("Initial Loss ", intitial_loss, "batch ID: ", batch_idx) def loss_fn(backward=True): out_ = net(inputs) # print(batch_idx, inputs[0]) loss_ = criterion(out_, targets) # print(out_[127], targets) # if Vonwo != '': # print(Vonwo, " ", batch_idx, " ", loss_) # print(targets, out_.max(1)) if backward: loss_.backward() return loss_, out_, batch_idx loss, outputs = opt.step(loss_fn) # train_loss += loss.item() # _, predicted = outputs.max(1) # total += targets.size(0) # correct += predicted.eq(targets).sum().item() # acc = 100. * correct / total # train_losses.append(train_loss/batch_size) # train_accuracies.append(acc) # cur_time = int((time.time() - time_start)) # logger.debug('train time: {:4.2f} min'.format(cur_time / 60)) # logger.info(formatted_str('TRAIN:', epoch_, train_loss / (batch_idx + 1), correct / total)) # # for s, t in [('time', cur_time), ('epoch', epoch_)]: # writer.add_scalar('train-%s/accuracy' % s, correct / total, t) # writer.add_scalar('train-%s/train_loss' % s, train_loss / (batch_idx + 1), t) minibatch_train_losses=[] if tb_log: summary_writer.close() # Put results into output dictionary. for epoch_count in range(num_epochs + 1): valid(epoch_count) test(epoch_count) train(epoch_count) if epoch_count == num_epochs: print("ENDE") break output = { "train_losses": train_losses, 'valid_losses': valid_losses, "test_losses": test_losses, "minibatch_train_losses": minibatch_train_losses, "train_accuracies": train_accuracies, 'valid_accuracies': valid_accuracies, "test_accuracies": test_accuracies } return output

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Python

skidl/libs/microchip_pic18mcu_sklib.py

arjenroodselaar/skidl

0bf801bd3b74e6ef94bd9aa1b68eef756b568276

[ "MIT" ]

700

2016-08-16T21:12:50.000Z

2021-10-10T02:15:18.000Z

skidl/libs/microchip_pic18mcu_sklib.py

0dvictor/skidl

458709a10b28a864d25ae2c2b44c6103d4ddb291

[ "MIT" ]

118

2016-08-16T20:51:05.000Z

2021-10-10T08:07:18.000Z

skidl/libs/microchip_pic18mcu_sklib.py

0dvictor/skidl

458709a10b28a864d25ae2c2b44c6103d4ddb291

[ "MIT" ]

94

2016-08-25T14:02:28.000Z

2021-09-12T05:17:08.000Z

from skidl import SKIDL, TEMPLATE, Part, Pin, SchLib SKIDL_lib_version = '0.0.1' microchip_pic18mcu = SchLib(tool=SKIDL).add_parts(*[ Part(name='PIC18F13K50-E/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8bit CMOS Microcontroller XLP',description='16K Flash, 768 SRAM, 256 EEPROM, USB, nanoWatt XLP, DIP20',ref_prefix='U',num_units=1,fplist=['DIP*W7.62mm*', 'PDIP*W7.62mm*'],do_erc=True,aliases=['PIC18F14K50-E/P', 'PIC18LF14K50-E/P', 'PIC18LF13K50-E/P'],pins=[ Pin(num='1',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='RA5/IOCA5/OSC1/CLKIN',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA4/IOCA3/AN3/OSC2/CLKOUT',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA3/IOCA3/~MCLR~/Vpp',do_erc=True), Pin(num='5',name='T0CKI/CCP1/P1A/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SRQ/C12OUT/P1B/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='PGM/C12IN3-/P1C/AN7/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='T1OSCI/T13CKI/SS/AN8/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='T1OSCO/SDO/AN9/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB7/IOCB7/TX/CK',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='RB6/IOCB6/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB5/IOCB5/AN11/RX/DT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='RB4/IOCB4/AN10/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='INT2/CVREF/C12IN2-/P1D/AN6/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='INT1/C12IN1-/VREF-AN5/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='INT0/C12IN+/VREF+/AN4/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='VUSB',func=Pin.PASSIVE,do_erc=True), Pin(num='18',name='RA1/IOCA1/D-/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/IOCA0/D+/PGD',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F13K50-E/SO',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8bit CMOS Microcontroller XLP',description='16K Flash, 768 SRAM, 256 EEPROM, USB, nanoWatt XLP, SOIC20',ref_prefix='U',num_units=1,fplist=['SOIC*W*7.5x12.8mm*Pitch1.27mm*'],do_erc=True,aliases=['PIC18LF13K50-E/SO', 'PIC18LF14K50-E/SO', 'PIC18F14K50-E/SO'],pins=[ Pin(num='1',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='RA5/IOCA5/OSC1/CLKIN',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA4/IOCA3/AN3/OSC2/CLKOUT',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA3/IOCA3/~MCLR~/Vpp',do_erc=True), Pin(num='5',name='T0CKI/CCP1/P1A/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SRQ/C12OUT/P1B/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='PGM/C12IN3-/P1C/AN7/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='T1OSCI/T13CKI/SS/AN8/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='T1OSCO/SDO/AN9/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB7/IOCB7/TX/CK',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='RB6/IOCB6/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB5/IOCB5/AN11/RX/DT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='RB4/IOCB4/AN10/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='INT2/CVREF/C12IN2-/P1D/AN6/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='INT1/C12IN1-/VREF-AN5/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='INT0/C12IN+/VREF+/AN4/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='VUSB',func=Pin.PASSIVE,do_erc=True), Pin(num='18',name='RA1/IOCA1/D-/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/IOCA0/D+/PGD',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F13K50-E/SS',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8bit CMOS Microcontroller XLP',description='16K Flash, 768 SRAM, 256 EEPROM, USB, nanoWatt XLP, SSOP20',ref_prefix='U',num_units=1,fplist=['SSOP*5.3x7.2mm*'],do_erc=True,aliases=['PIC18LF13K50-E/SS', 'PIC18LF14K50-E/SS', 'PIC18F14K50-E/SS'],pins=[ Pin(num='1',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='2',name='RA5/IOCA5/OSC1/CLKIN',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA4/IOCA3/AN3/OSC2/CLKOUT',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA3/IOCA3/~MCLR~/Vpp',do_erc=True), Pin(num='5',name='T0CKI/CCP1/P1A/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='SRQ/C12OUT/P1B/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='PGM/C12IN3-/P1C/AN7/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='T1OSCI/T13CKI/SS/AN8/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='T1OSCO/SDO/AN9/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB7/IOCB7/TX/CK',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='RB6/IOCB6/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB5/IOCB5/AN11/RX/DT',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='RB4/IOCB4/AN10/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='INT2/CVRef/C12IN2-/P1D/AN6/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='INT1/C12IN1-/VREF-AN5/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='INT0/C12IN+/VREF+/AN4/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='VUSB',func=Pin.PASSIVE,do_erc=True), Pin(num='18',name='RA1/IOCA1/D-/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/IOCA0/D+/PGD',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F2331-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 768B SRAM, 256B EEPROM, nanoWatt XLP, ADC, PWM, QFN28',ref_prefix='U',num_units=1,fplist=['QFN*1EP*6x6mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18LF2331-I/ML', 'PIC18LF2431-I/ML', 'PIC18F2431-I/ML'],pins=[ Pin(num='1',name='RA2/AN2/Vref-/CAP1/INDX',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RA3/AN3/Vref+/CAP2/QEA',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA4/AN4/CAP3/QEB',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='5',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='RA7/OSC1/CLKI',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~FLTA~/T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~FLTB~/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RB2/PWM2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='INT0/T5CKI/T0CKI/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB3/PWM3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='INT1/SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB4/KBI0/PWM5',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='INT2/SCK/SCL/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB5/KBI1/PWM4/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TX/~SS~/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RX/SDO/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='~MCLR~/Vpp',do_erc=True), Pin(num='17',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RB0/PWM0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RB1/PWM1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F2331-I/SO',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 768B SRAM, 256B EEPROM, nanoWatt XLP, ADC, PWM, SOIC28',ref_prefix='U',num_units=1,fplist=['SO*W*7.5x17.9mm*Pitch1.27mm*'],do_erc=True,aliases=['PIC18LF2331-I/SO', 'PIC18LF2431-I/SO', 'PIC18F2431-I/SO'],pins=[ Pin(num='1',name='~MCLR~/Vpp',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CAP1/INDX',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+/CAP2/QEA',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/AN4/CAP3/QEB',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RA7/OSC1/CLKI',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB0/PWM0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='~FLTA~/T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB1/PWM1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='~FLTB~/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB2/PWM2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='INT0/T5CKI/T0CKI/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB3/PWM3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='INT1/SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB4/KBI0/PWM5',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='INT2/SCK/SCL/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RB5/KBI1/PWM4/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/~SS~/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RX/SDO/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F2331-I/SP',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 768B SRAM, 256B EEPROM, nanoWatt XLP, ADC, PWM, SPDIP28',ref_prefix='U',num_units=1,fplist=['DIP*W7.62mm*', 'PDIP*W7.62mm*'],do_erc=True,aliases=['PIC18LF2331-I/SP', 'PIC18LF2431-I/SP', 'PIC18F2431-I/SP'],pins=[ Pin(num='1',name='~MCLR~/Vpp',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CAP1/INDX',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+/CAP2/QEA',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/AN4/CAP3/QEB',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RA7/OSC1/CLKI',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB0/PWM0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='~FLTA~/T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB1/PWM1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='~FLTB~/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB2/PWM2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='INT0/T5CKI/T0CKI/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB3/PWM3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='INT1/SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB4/KBI0/PWM5',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='INT2/SCK/SCL/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RB5/KBI1/PWM4/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/~SS~/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RX/SDO/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F2450-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 8K SRAM, USB, nanoWatt XLP, QFN28',ref_prefix='U',num_units=1,fplist=['QFN*1EP*6x6mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18LF2450-I/ML'],pins=[ Pin(num='1',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA4/T0CKI/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA5/AN4/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='OSC1/CLKI',do_erc=True), Pin(num='7',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='8',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~UOE~/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB3/AN9/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='17',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RB0/AN12/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RB1/AN10/INT1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F2450-I/SO',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 8K SRAM, USB, nanoWatt XLP, SOIC28',ref_prefix='U',num_units=1,fplist=['SOIC*W*7.5x12.8mm*Pitch1.27mm*'],do_erc=True,aliases=['PIC18LF2450-I/SO'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='OSC1/CLKI',do_erc=True), Pin(num='10',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='20',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB0/AN12/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='~UOE~/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB1/AN10/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB3/AN9/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F2450-I/SP',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 8K SRAM, USB, nanoWatt XLP, SPDIP28',ref_prefix='U',num_units=1,fplist=['SPDIP*W7.62mm*', 'DIP*W7.62mm*', 'PDIP*W7.62mm*'],do_erc=True,aliases=['PIC18LF2450-I/SP'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='OSC1/CLKI',do_erc=True), Pin(num='10',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='20',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB0/AN12/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='~UOE~/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB1/AN10/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB3/AN9/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F2455-I/SO',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, nanoWatt XLP, SOIC28',ref_prefix='U',num_units=1,fplist=['SO*W*7.5x17.9mm_Pitch1.27mm*'],do_erc=True,aliases=['PIC18LF2455-I/SO', 'PIC18LF2550-I/SO', 'PIC18F2550-I/SO'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='OSC1/CLKI',do_erc=True), Pin(num='10',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='20',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F2455-I/SP',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, nanoWatt XLP, SPDIP28',ref_prefix='U',num_units=1,fplist=['SPDIP*28_W7.62mm*', 'DIP*28_W7.62mm*', 'PDIP*28_W7.62mm*'],do_erc=True,aliases=['PIC18LF2455-I/SP', 'PIC18LF2550-I/SP', 'PIC18F2550-I/SP'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='OSC1/CLKI',do_erc=True), Pin(num='10',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='20',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='VSS',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F4331-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 768B SRAM, 256B EEPROM, nanoWatt XLP, ADC, PWM, QFN44',ref_prefix='U',num_units=1,fplist=['QFN*1EP*8x8mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18LF4331-I/ML', 'PIC18LF4431-I/ML', 'PIC18F4431-I/ML'],pins=[ Pin(num='1',name='RX/SDO/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='~FLTA~/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='PWM4/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='PWM6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='PWM7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RB0/PWM0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB1/PWM1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='40',name='SDA/SDI/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB2/PWM2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-/CAP1/INDX',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='41',name='SCL/SCK/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB3/PWM3',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+/CAP2/QEA',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RA7/OSC1/CLKI',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='INT1/SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/AN4/CAP3/QEB',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='INT2/SCK/SCL/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/KBI0/PWM5',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN5/LVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/~SS~/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PWM4/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='AN6/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~FLTA~/T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='AN7/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='~FLTB~/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AN8/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='INT0/T5CKI/T0CKI/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='T5CKI/T0CKI/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='SDO/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4331-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 768B SRAM, 256B EEPROM, nanoWatt XLP, ADC, PWM, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24*', 'PDIP*W15.24*'],do_erc=True,aliases=['PIC18LF4331-I/P', 'PIC18LF4431-I/P', 'PIC18F4431-I/P'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CAP1/INDX',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+/CAP2/QEA',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/AN4/CAP3/QEB',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN5/LVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='AN6/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='AN7/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AN8/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='SDO/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PWM7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='SDA/SDI/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='SCL/SCK/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='RA7/OSC1/CLKI',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='INT1/SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/PWM0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='INT2/SCK/SCL/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/PWM1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TX/~SS~/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/PWM2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~FLTA~/T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RX/SDO/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/PWM3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='~FLTB~/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='~FLTA~/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4/KBI0/PWM5',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='INT0/T5CKI/T0CKI/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='PWM4/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/KBI1/PWM4/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='T5CKI/T0CKI/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PWM6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4331-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 768B SRAM, 256B EEPROM, nanoWatt XLP, ADC, PWM, TQFP44',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.8mm*'],do_erc=True,aliases=['PIC18LF4331-I/PT', 'PIC18LF4431-I/PT', 'PIC18F4431-I/PT'],pins=[ Pin(num='1',name='RX/SDO/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='~FLTA~/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='PWM4/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='PWM6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='PWM7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='RB0/PWM0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='RB1/PWM1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB2/PWM2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='RA7/OSC1/CLKI',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='SDA/SDI/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB3/PWM3',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-/CAP1/INDX',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='SCL/SCK/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+/CAP2/QEA',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='INT1/SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/AN4/CAP3/QEB',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='INT2/SCK/SCL/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/KBI0/PWM5',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN5/LVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/~SS~/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PWM4/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='AN6/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~FLTA~/T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='AN7/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='~FLTB~/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AN8/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='INT0/T5CKI/T0CKI/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='T5CKI/T0CKI/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='33',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='34',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='39',name='SDO/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F442-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller',description='32K Flash, 1536B SRAM, 256 EEPROM, ADC, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF442-I/P', 'PIC18LF452-I/P', 'PIC18F452-I/P'],pins=[ Pin(num='1',name='~MCLR~/VPP',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/TOCKI',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/~SS~/LVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='~RD~/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='~WR~/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='~CS~/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='PSP1/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='PSP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='PSP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='PSP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKIN',do_erc=True), Pin(num='23',name='SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='24',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T10S0/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/INT2',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/CCP2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='PSP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SCK/SCL/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='PSP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='PSP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PSP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F442-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller',description='32K Flash, 1536B SRAM, 256 EEPROM, ADC, TQFP-44',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.8mm*'],do_erc=True,aliases=['PIC18LF442-I/PT', 'PIC18LF452-I/PT', 'PIC18F452-I/PT'],pins=[ Pin(num='1',name='DT/RX/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='PSP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='PSP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='PSP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='PSP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='33',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='34',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='RB0/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='RB1/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB2/INT2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='OSC1/CLKI',do_erc=True), Pin(num='40',name='PSP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB3/CCP2',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='PSP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/T0CKI',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/~SS~/LVDin',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='CK/TX/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='~RD~/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='T1OSI/CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='~WR~/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='~CS~/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='SCK/SCL/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='~MCLR~/Vpp',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='PSP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='PSP1/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4450-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 8K SRAM, USB, nanoWatt XLP, QFN44',ref_prefix='U',num_units=1,fplist=['QFN*1EP*8x8mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18LF4450-I/ML'],pins=[ Pin(num='1',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RB0/AN12/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB1/AN10/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='40',name='RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='41',name='RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB3/AN9/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='OSC1/CLKI',do_erc=True), Pin(num='42',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/T0CKI/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='43',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~UOE~/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4450-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 8K SRAM, USB, nanoWatt XLP, PDIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF4450-I/P'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKI',do_erc=True), Pin(num='23',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/AN12/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='24',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/AN10/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~UOE~/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/AN9/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4450-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='16K Flash, 8K SRAM, USB, nanoWatt XLP, TQFP44',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.8mm*'],do_erc=True,aliases=['PIC18LF4450-I/PT'],pins=[ Pin(num='1',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='RB0/AN12/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='RB1/AN10/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='OSC1/CLKI',do_erc=True), Pin(num='40',name='RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB3/AN9/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='41',name='RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='(ICCK/ICPGC)',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='T1OSO/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='(ICDT/ICPGD)',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/T0CKI/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='(~ICRST~/ICVpp)',do_erc=True), Pin(num='43',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN11/KBI0',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='(ICPORTS)',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~UOE~/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4455-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, nanoWatt XLP, QFN44',ref_prefix='U',num_units=1,fplist=['QFN*1EP*8x8mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18LF4455-I/ML', 'PIC18LF4550-I/ML', 'PIC18F4550-I/ML'],pins=[ Pin(num='1',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='SPP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P1B/SPP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1C/SPP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1D/SPP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='40',name='SPP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='41',name='SPP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='OSC1/CLKI',do_erc=True), Pin(num='42',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='43',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN11/KBI0/CSSPP',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='CK1SPP/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='CK2SPP/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P1A/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='OESPP/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='SPP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='SPP1/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4455-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, nanoWatt XLP, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF4455-I/P', 'PIC18LF4550-I/P', 'PIC18F4550-I/P'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CK1SPP/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CK2SPP/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='OESPP/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='SPP1/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='P1D/SPP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='SPP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='SPP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKI',do_erc=True), Pin(num='23',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='24',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P1A/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='SPP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4/AN11/KBI0/CSSPP',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P1B/SPP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='SPP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='P1C/SPP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4455-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, nanoWatt XLP, TQFP44',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.8mm*'],do_erc=True,aliases=['PIC18LF4455-I/PT', 'PIC18LF4550-I/PT', 'PIC18F4550-I/PT'],pins=[ Pin(num='1',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='SPP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P1B/SPP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1C/SPP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1D/SPP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='OSC1/CLKI',do_erc=True), Pin(num='40',name='SPP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='41',name='SPP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='(ICCK/ICPGC)',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='(ICDT/ICPGD)',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='(~ICRST~/ICVpp)',do_erc=True), Pin(num='43',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN11/KBI0/CSSPP',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='(ICPORTS)',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='CK1SPP/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='CK2SPP/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P1A/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='OESPP/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='SPP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='SPP1/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4458-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, 12-Bit A/D, nanoWatt XLP, QFN44',ref_prefix='U',num_units=1,fplist=['QFN*1EP*8x8mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18LF4458-I/ML', 'PIC18F4553-I/ML', 'PIC18LF4553-I/ML'],pins=[ Pin(num='1',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='SPP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P1B/SPP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1C/SPP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1D/SPP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='40',name='SPP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='41',name='SPP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='OSC1/CLKI',do_erc=True), Pin(num='42',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='23',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN11/KBI0/CSSPP',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='CK1SPP/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PAD',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='CK2SPP/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P1A/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='OESPP/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='SPP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='SPP1/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4458-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, 12-Bit A/D, nanoWatt XLP, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF4458-I/P', 'PIC18F4553-I/P', 'PIC18LF4553-I/P'],pins=[ Pin(num='1',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='CK1SPP/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='CK2SPP/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='OESPP/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='SPP1/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='P1D/SPP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='SPP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='SPP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKI',do_erc=True), Pin(num='23',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='P1A/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='SPP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4/AN11/KBI0/CSSPP',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P1B/SPP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='SPP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='P1C/SPP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F4458-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller XLP',description='32K Flash, 2K SRAM, 256 EEPROM, USB, 12-Bit A/D, nanoWatt XLP, TQFP44',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.8mm*'],do_erc=True,aliases=['PIC18LF4458-I/PT', 'PIC18F4553-I/PT', 'PIC18LF4553-I/PT'],pins=[ Pin(num='1',name='SDO/RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='SPP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='P1B/SPP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='P1C/SPP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='P1D/SPP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='RB0/AN12/INT0/FLT0/SDI/SDA',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='RB1/AN10/INT1/SCK/SCL',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB2/AN8/INT2/VMO',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='OSC1/CLKI',do_erc=True), Pin(num='40',name='SPP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB3/AN9/CCP2/VPO',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/AN2/Vref-/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='RA6/OSC2/CLKO',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='SPP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='(ICCK/ICPGC)',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='T1OSO/T13CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='VM/D-/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='(ICDT/ICPGD)',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='RA4/T0CKI/C1OUT/RCV',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='(~ICRST~/ICVpp)',do_erc=True), Pin(num='43',name='VP/D+/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN11/KBI0/CSSPP',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4/~SS~/HLVDIN/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='(ICPORTS)',do_erc=True), Pin(num='44',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='CK1SPP/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='~UOE~/CCP2/T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='CK2SPP/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='P1A/CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='OESPP/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VUSB',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='Vpp/~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='SPP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='SPP1/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F448-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller CAN',description='32K Flash, 1536B SRAM, 256 EEPROM, CAN, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF448-I/P', 'PIC18LF458-I/P', 'PIC18F458-I/P'],pins=[ Pin(num='1',name='~MCLR~/VPP',do_erc=True), Pin(num='2',name='RA0/AN0/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/TOCKI',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/AN4/~SS~/LVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='~RD~/AN5/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='C1OUT/~WR~/AN6/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='C2OUT/~CS~/AN7/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='C1IN-/PSP1/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='P1D/PSP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='C2IN+/PSP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='C2IN-/PSP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKIN',do_erc=True), Pin(num='23',name='SDI/SDA/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RA6/OSC2/CLKO',func=Pin.OUTPUT,do_erc=True), Pin(num='24',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T10S0/T1CKI/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='TX/CK/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/INT2/CANTX',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RX/DT/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/CANRX',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P1A/ECCP1/PSP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SCK/SCL/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P1B/PSP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='C1IN+/PSP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='P1C/PSP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F44J10-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller',description='32K Flash, 1K SRAM, ADC, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF44J10-I/P', 'PIC18LF45J10-I/P', 'PIC18F45J10-I/P'],pins=[ Pin(num='1',name='~MCLR~',do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.TRISTATE,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.TRISTATE,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-/CVref',func=Pin.TRISTATE,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.TRISTATE,do_erc=True), Pin(num='6',name='VDDCORE/VCAP',func=Pin.PASSIVE,do_erc=True), Pin(num='7',name='RA5/AN4/~SS1~/C2OUT',func=Pin.TRISTATE,do_erc=True), Pin(num='8',name='~RD~/AN5/RE0',func=Pin.TRISTATE,do_erc=True), Pin(num='9',name='~WR~/AN6/RE1',func=Pin.TRISTATE,do_erc=True), Pin(num='10',name='~CS~/AN7/RE2',func=Pin.TRISTATE,do_erc=True), Pin(num='20',name='PSP1/SDI2/SDA2/RD1',func=Pin.TRISTATE,do_erc=True), Pin(num='30',name='PSP7/P1D/RD7',func=Pin.TRISTATE,do_erc=True), Pin(num='40',name='RB7/KBI3/PGD',func=Pin.TRISTATE,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='PSP2/SDO2/RD2',func=Pin.TRISTATE,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='PSP3/~SS2~/RD3',func=Pin.TRISTATE,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKI',do_erc=True), Pin(num='23',name='SDI1/SDA1/RC4',func=Pin.TRISTATE,do_erc=True), Pin(num='33',name='RB0/INT0/FLT0/AN12',func=Pin.TRISTATE,do_erc=True), Pin(num='14',name='OSC2/CLK0',func=Pin.OUTPUT,do_erc=True), Pin(num='24',name='SDO1/RC5',func=Pin.TRISTATE,do_erc=True), Pin(num='34',name='RB1/INT1/AN10',func=Pin.TRISTATE,do_erc=True), Pin(num='15',name='T1OSO/T1CKI/RC0',func=Pin.TRISTATE,do_erc=True), Pin(num='25',name='TX/CK/RC6',func=Pin.TRISTATE,do_erc=True), Pin(num='35',name='RB2/INT2/AN8',func=Pin.TRISTATE,do_erc=True), Pin(num='16',name='T1OSI/CCP2/RC1',func=Pin.TRISTATE,do_erc=True), Pin(num='26',name='RX/DT/RC7',func=Pin.TRISTATE,do_erc=True), Pin(num='36',name='RB3/CCP2/AN9',func=Pin.TRISTATE,do_erc=True), Pin(num='17',name='P1A/CCP1/RC2',func=Pin.TRISTATE,do_erc=True), Pin(num='27',name='PSP4/RD4',func=Pin.TRISTATE,do_erc=True), Pin(num='37',name='RB4/KBI0/AN11',func=Pin.TRISTATE,do_erc=True), Pin(num='18',name='SCK1/SCL1/RC3',func=Pin.TRISTATE,do_erc=True), Pin(num='28',name='PSP5/P1B/RD5',func=Pin.TRISTATE,do_erc=True), Pin(num='38',name='RB5/KBI1/T0CKI/C1OUT',func=Pin.TRISTATE,do_erc=True), Pin(num='19',name='PSP0/SCK2/SCL2/RD0',func=Pin.TRISTATE,do_erc=True), Pin(num='29',name='PSP6/P1C/RD6',func=Pin.TRISTATE,do_erc=True), Pin(num='39',name='RB6/KBI2/PGC',func=Pin.TRISTATE,do_erc=True)]), Part(name='PIC18F4580-I/P',dest=TEMPLATE,tool=SKIDL,keywords='Flash-Based 8-Bit Microcontroller CAN',description='32K Flash, 768B SRAM, 256 EEPROM, ECAN, DIP40',ref_prefix='U',num_units=1,fplist=['DIP*W15.24mm*', 'PDIP*W15.24mm*'],do_erc=True,aliases=['PIC18LF4580-I/P', 'PIC18LF4480-I/P', 'PIC18F4480-I/P'],pins=[ Pin(num='1',name='~MCLR~/VPP/RE3',do_erc=True), Pin(num='2',name='RA0/AN0/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/AN2/Vref-',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/AN3/Vref+',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4/TOCKI',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='RA5/ANA4/~SS~/HLVDIN',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='AN5/~RD~/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='C1OUT/AN6/~WR~/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='C2OUT/AN7/~CS~/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='C1IN-/PSP1/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='P1D/PSP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='RB7/KBI3/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='21',name='C2IN+/PSP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='12',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='22',name='C2IN-/PSP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='13',name='OSC1/CLKI/RA7',do_erc=True), Pin(num='23',name='SDA/SDI/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='RB0/INT0/FLT0/AN10',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='OSC2/CLKO/RA6',func=Pin.OUTPUT,do_erc=True), Pin(num='24',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='RB1/INT1/AN8',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T13CKI/T1OSO/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='CK/TX/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RB2/INT2/CANTX',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='T1OSI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='DT/RX/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RB3/CANRX',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='P1A/ECCP1/PSP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='RB4/KBI0/AN9',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='SCL/SCK/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='P1B/PSP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RB5/KBI1/PGM',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='C1IN+/PSP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='P1C/PSP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='RB6/KBI2/PGC',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F45K80-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='microchip microcontroller PIC18 flash ECAN XLP nanoWatt',description='64K Flash, 3.5K RAM, 1K EEPROM PIC18 Microcontroller ADC PWM CAN SPI I2C USART in TQFP44 package',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.8mm*'],do_erc=True,aliases=['PIC18LF45K80-I/PT', 'PIC18LF46K80-I/PT', 'PIC18F46K80-I/PT'],pins=[ Pin(num='1',name='RC7/CANRX/RX1/DT1/CCP4',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RD4/ECCP1/P1A/PSP4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RD5/P1B/PSP5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RD6/TX2/CK2/P1C/PSP6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RD7/RX2/DT2/P1D/PSP7',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='AN10/FLT0/INT0/RB0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='AN8/CTDIN/INT1/RB1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='CANTX/CTED1/INT2/RB2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='AN1/C1INC/RA1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='OSC1/CLKIN/RA7',do_erc=True), Pin(num='40',name='RD2/C2INA/PSP2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='CANRX/CTED2/INT3/RB3',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='VREF-/AN2/C2INC/RA2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='OSC2/CLKOUT/RA6',func=Pin.OUTPUT,do_erc=True), Pin(num='41',name='RD3/C2INB/CTMUI/PSP3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='N/C',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='Vref+/AN3/RA3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RC0/SOSCO/SCLKI',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='RC4/SDA/SDI',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='N/C',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='VDDCORE/VCAP',func=Pin.PASSIVE,do_erc=True), Pin(num='33',name='N/C',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='RC5/SDO',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='AN9/CTPLS/KBI0/RB4',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='AN4/HLVDIN/T1CKI/~SS~/RA5',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='N/C',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='RC6/CANTX/TX1/CK1/CCP3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='T0CKI/T3CKI/CCP5/KBI1/RB5',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RE0/AN5/~RD~',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RC1/SOSCI',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='PGC/KBI2/RB6',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RE1/AN6/C1OUT/~WR~',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='RC2/T1G/CCP2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='PGD/T3G/KBI3/RB7',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RE2/AN7/C2OUT/~CS~',func=Pin.PWRIN,do_erc=True), Pin(num='37',name='RC3/REFO/SCL/SCK',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='~MCLR~/RE3',do_erc=True), Pin(num='28',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='RD0/C1INA/PSP0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='CVref/AN0/ULPWU/RA0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='RD1/C1INB/PSP1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F1220-SO',dest=TEMPLATE,tool=SKIDL,keywords='RAM ADC UART PWM',description='18-Pin Flash Microcontroller 8K Flash 256byte RAM',ref_prefix='U',num_units=1,fplist=['SOIC*W*7.5x11.6mm*Pitch1.27mm*'],do_erc=True,aliases=['PIC18LF1220-SO', 'PIC18LF1320-SO', 'PIC18F1320-SO'],pins=[ Pin(num='1',name='RA0/AN0',do_erc=True), Pin(num='2',name='RA1/AN1/LVDIN',do_erc=True), Pin(num='3',name='RA4/TOCKI',do_erc=True), Pin(num='4',name='~MCLR~/Vpp/RA5',do_erc=True), Pin(num='5',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='RA2/AN2/Vref-',do_erc=True), Pin(num='7',name='RA3/AN3/Vref+',do_erc=True), Pin(num='8',name='INT0/AN4/RB0',do_erc=True), Pin(num='9',name='INT1/CK/TX/AN5/RB1',do_erc=True), Pin(num='10',name='KBI0/DT/RX/AN6/RB4',do_erc=True), Pin(num='11',name='KBI1/PGM/RB5',do_erc=True), Pin(num='12',name='KBI2/P1C/T13CKI/T1OSO/PGC/RB6',do_erc=True), Pin(num='13',name='KBI3/P1D/T1OSI/PGD/RB7',do_erc=True), Pin(num='14',name='Vdd',func=Pin.PWRIN,do_erc=True), Pin(num='15',name='OSC2/CLKO/RA6',do_erc=True), Pin(num='16',name='OSC1/CLKI/RA7',do_erc=True), Pin(num='17',name='INT2/P1B/RB2',do_erc=True), Pin(num='18',name='P1A/CCP1/RB3',do_erc=True)]), Part(name='PIC18F23K20_I/SS',dest=TEMPLATE,tool=SKIDL,keywords='microcontroller PIC18F flash XLP',description='64K Flash, 3936Byte RAM, 1KByte EEPROM, PIC18 Microcontroller ADC PWM SPI I2C USART in SSOP28 package',ref_prefix='U',num_units=1,fplist=['SSOP*5.3x10.2mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18F24K20_I/SS', 'PIC18F25K20_I/SS', 'PIC18F26K20_I/SS'],pins=[ Pin(num='1',name='~MCLR~/RE3',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/Vref-AN2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/Vref+AN3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='RA4',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='RA5/AN4',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='RA7/OSC1/CLKIN',do_erc=True), Pin(num='10',name='RA6/OSC2/CLKOUT',do_erc=True), Pin(num='20',name='Vdd',func=Pin.PWRIN,do_erc=True), Pin(num='11',name='RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='AN12/INT0/RB0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='CCP2/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='AN10/INT1/RB1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='CCP1/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='AN8/INT2/RB2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='SCL/SCK/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='AN9/RB3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='SDA/SDI/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='AN11/RB4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='PGM/RB5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='TX/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='PGC/RB6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RX/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='PGD/RB7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='Vss',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F25K80_I/ML',dest=TEMPLATE,tool=SKIDL,keywords='microchip microcontroller PIC18 flash ECAN XLP nanoWatt',description='64K Flash, 3.5K RAM, 1K EEPROM PIC18 Microcontroller ADC PWM CAN SPI I2C USART in QFN28 package',ref_prefix='U',num_units=1,fplist=['QFN*1EP*6x6mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18F26K80_I/ML', 'PIC18LF25K80_I/ML', 'PIC18LF26K80_I/ML'],pins=[ Pin(num='1',name='RA2/Vref-/AN2',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RA3/Vref+/AN3',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='Vcap',func=Pin.PWRIN,do_erc=True), Pin(num='4',name='RA5/AN4',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='6',name='OSC1/CLKIN',do_erc=True), Pin(num='7',name='OSC2/CLKOUT',do_erc=True), Pin(num='8',name='SOSCO/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='SOSCI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='CCP2/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='CANTX/INT2/RB2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='SCL/SCK/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='CANRX/INT3/RB3',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='SDA/SDI/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='AN9/ECCP1/RB4',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='CCP5/RB5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='CANTX/TX1/CCP3/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='PGC/TX2/RB6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='CANRX/RX1/CCP4/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='PGD/RX2/RB7',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='26',name='~MCLR~/RE3',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='Vdd',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='AN10/INT0/RB0',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='AN8/INT1/RB1',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='PAD',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F25K80_I/SS',dest=TEMPLATE,tool=SKIDL,keywords='microchip microcontroller PIC18 flash ECAN XLP nanoWatt',description='64K Flash, 3.5K RAM, 1K EEPROM PIC18 Microcontroller ADC PWM CAN SPI I2C USART in SSOP28 package',ref_prefix='U',num_units=1,fplist=['SSOP*5.3x10.2mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18F26K80_I/SS', 'PIC18LF25K80_I/SS', 'PIC18LF26K80_I/SS'],pins=[ Pin(num='1',name='~MCLR~/RE3',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RA0/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='RA2/Vref-/AN2',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RA3/Vref+/AN3',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='Vcap',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='RA5/AN4',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='9',name='OSC1/CLKIN',do_erc=True), Pin(num='10',name='OSC2/CLKOUT',do_erc=True), Pin(num='11',name='SOSCO/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='AN10/INT0/RB0',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='SOSCI/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='AN8/INT1/RB1',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='CCP2/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='CANTX/INT2/RB2',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='SCL/SCK/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='CANRX/INT3/RB3',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='SDA/SDI/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='AN9/ECCP1/RB4',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='CCP5/RB5',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='CANTX/TX1/CCP3/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='Vdd',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='PGC/TX2/RB6',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='CANRX/RX1/CCP4/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='PGD/RX2/RB7',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='Vss',func=Pin.PWRIN,do_erc=True)]), Part(name='PIC18F45K80-I/ML',dest=TEMPLATE,tool=SKIDL,keywords='microchip microcontroller PIC18 flash ECAN XLP nanoWatt',description='64K Flash, 3.5K RAM, 1K EEPROM PIC18 Microcontroller ADC PWM CAN SPI I2C USART in QFN44 package',ref_prefix='U',num_units=1,fplist=['QFN*1EP*8x8mm*Pitch0.65mm*'],do_erc=True,aliases=['PIC18F46K80-I/ML', 'PIC18LF45K80-I/ML', 'PIC18LF46K80-I/ML'],pins=[ Pin(num='1',name='CANRX/RX1/CCP4/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='ECCP1/PSP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='PSP5/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='TX2/PSP6/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='RX2/PSP7/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='13',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='33',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='34',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='6',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='7',name='Vdd',func=Pin.PWRIN,do_erc=True), Pin(num='8',name='RB0/AN10/INT0',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='RB1/AN8/INT1',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RB2/CANTX/INT2',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RA1/AN1',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='OSC1/CLKIN/RA7',do_erc=True), Pin(num='40',name='C2INA/PSP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RB3/CANRX/INT3',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RA2/Vref-/AN2',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='OSC2/CLKOUT/RA6',do_erc=True), Pin(num='41',name='C2INB/PSP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RA3/Vref+/AN3',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RC0',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='SDA/SDI/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='Vddcore/Vcap',func=Pin.PWRIN,do_erc=True), Pin(num='43',name='SDO/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RB4/AN9',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RA5/AN4',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='CANTX/TX1/CCP3/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RB5/CCP5',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='RE0/AN5',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='RC1',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='PAD',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='RB6/PGC',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='RE1/AN6',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='CCP2/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='RB7/PGD',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='RE2/AN7',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='SCL/SCK/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='~MLCR~/RE3',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='Vdd',func=Pin.PWRIN,do_erc=True), Pin(num='38',name='C1INA/PSP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RA0/CVref/AN0',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='Vss',func=Pin.PWRIN,do_erc=True), Pin(num='39',name='C1INB/PSP1/RD1',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F66J60-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash Based 8-Bit Microcontroller Ethernet Controller PHY',description='128K Flash, 3.7K SRAM, Ethernet Controller with PHY, 8K Buffer, TQFP64',ref_prefix='U',num_units=1,fplist=['TQFP*10x10mm*Pitch0.5mm*'],do_erc=True,aliases=['PIC18F66J65-I/PT', 'PIC18F67J60-I/PT'],pins=[ Pin(num='1',name='RE1/P2C',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RE0/P2D',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='INT0/FLT0/RB0',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='INT1/RB1',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='INT2/RB2',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='INT3/RB3',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='~MCLR~',do_erc=True), Pin(num='8',name='RG4/CCP5/P1D',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='10',name='VDDCORE/VCAP',func=Pin.PASSIVE,do_erc=True), Pin(num='20',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='30',name='T13CKI/T1OSO/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='OSC2/CLK2',func=Pin.OUTPUT,do_erc=True), Pin(num='50',name='TPOUT-',func=Pin.PASSIVE,do_erc=True), Pin(num='60',name='RD0/P1B',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RF7/~SS1~',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='Vref+/AN3/RA3',func=Pin.BIDIR,do_erc=True), Pin(num='31',name='TX1/CK1/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='41',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='51',name='TPOUT+',func=Pin.PASSIVE,do_erc=True), Pin(num='61',name='RE5/P1C',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RF6/AN11',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='Vref-/AN2/RA2',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='RX1/DT1/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='PGC/KBI2/RB6',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='VSSTX',func=Pin.PWRIN,do_erc=True), Pin(num='62',name='RE4/P3B',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='RF5/AN10/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='23',name='LEDB/AN1/RA1',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='ECCP1/P1A/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='KBI1/RB5',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='RBIAS',func=Pin.PASSIVE,do_erc=True), Pin(num='63',name='RE3/P3C',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RF4/AN9',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='LEDA/AN0/RA0',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='SCK1/SCL1/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='KBI0/RB4',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='VDDPLL',func=Pin.PWRIN,do_erc=True), Pin(num='64',name='RE2/P2B',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='RF3/AN8',func=Pin.BIDIR,do_erc=True), Pin(num='25',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='35',name='SDI1/SDA1/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='VSSRX',func=Pin.PWRIN,do_erc=True), Pin(num='55',name='VSSPLL',func=Pin.PWRIN,do_erc=True), Pin(num='16',name='RF2/AN7/C1OUT',func=Pin.BIDIR,do_erc=True), Pin(num='26',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='36',name='SDO1/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='46',name='TPIN-',func=Pin.PASSIVE,do_erc=True), Pin(num='56',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='17',name='RF1/AN6/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='27',name='AN4/RA5',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='PGD/KBI3/RB7',func=Pin.BIDIR,do_erc=True), Pin(num='47',name='TPIN+',func=Pin.PASSIVE,do_erc=True), Pin(num='57',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='18',name='ENVREG',func=Pin.PASSIVE,do_erc=True), Pin(num='28',name='T0CKI/RA4',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='48',name='VDDRX',func=Pin.PWRIN,do_erc=True), Pin(num='58',name='RD2/CCP4/P3D',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='29',name='T1OSI/ECCP2/P2A/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='39',name='OSC1/CLKI',do_erc=True), Pin(num='49',name='VDDTX',func=Pin.PWRIN,do_erc=True), Pin(num='59',name='RD1/ECCP3/P3A',func=Pin.BIDIR,do_erc=True)]), Part(name='PIC18F96J60-I/PT',dest=TEMPLATE,tool=SKIDL,keywords='Flash Based 8-Bit Microcontroller Ethernet Controller PHY',description='128K Flash, 3.7K SRAM, Ethernet Controller with PHY, 8K Buffer, TQFP100',ref_prefix='U',num_units=1,fplist=['TQFP*12x12mm*Pitch0.4mm*', 'TQFP*14x14mm*Pitch0.5mm*'],do_erc=True,aliases=['PIC18F96J65-I/PT', 'PIC18F97J60-I/PT', 'PIC18F96J60-I/PF', 'PIC18F96J65-I/PF', 'PIC18F97J60-I/PF'],pins=[ Pin(num='1',name='RH2/A18',func=Pin.BIDIR,do_erc=True), Pin(num='2',name='RH3/A19',func=Pin.BIDIR,do_erc=True), Pin(num='3',name='~WR~/AD9/P2C/RE1',func=Pin.BIDIR,do_erc=True), Pin(num='4',name='~RD~/AD8/P2D/RE0',func=Pin.BIDIR,do_erc=True), Pin(num='5',name='INT0/FLT0/RB0',func=Pin.BIDIR,do_erc=True), Pin(num='6',name='INT1/RB1',func=Pin.BIDIR,do_erc=True), Pin(num='7',name='INT2/RB2',func=Pin.BIDIR,do_erc=True), Pin(num='8',name='INT3/ECCP2/P2A/RB3',func=Pin.BIDIR,do_erc=True), Pin(num='10',name='RG6',func=Pin.BIDIR,do_erc=True), Pin(num='20',name='RF5/AN10/CVref',func=Pin.BIDIR,do_erc=True), Pin(num='30',name='AVDD',func=Pin.PWRIN,do_erc=True), Pin(num='50',name='RJ1/~OE~',func=Pin.BIDIR,do_erc=True), Pin(num='40',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='60',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='70',name='RG1/TX2/CK2',func=Pin.BIDIR,do_erc=True), Pin(num='80',name='RBIAS',func=Pin.PASSIVE,do_erc=True), Pin(num='90',name='AD2/PSP2/RD2',func=Pin.BIDIR,do_erc=True), Pin(num='11',name='RG5',func=Pin.BIDIR,do_erc=True), Pin(num='21',name='RF4/AN9',func=Pin.BIDIR,do_erc=True), Pin(num='9',name='NC',func=Pin.NOCONNECT,do_erc=True), Pin(num='31',name='AVSS',func=Pin.PWRIN,do_erc=True), Pin(num='41',name='AN4/RA5',func=Pin.BIDIR,do_erc=True), Pin(num='51',name='RG3/CCP4/P3D',func=Pin.BIDIR,do_erc=True), Pin(num='61',name='RJ3/~WRH~',func=Pin.BIDIR,do_erc=True), Pin(num='71',name='RG0/ECCP3/P3A',func=Pin.BIDIR,do_erc=True), Pin(num='81',name='VDDPLL',func=Pin.PWRIN,do_erc=True), Pin(num='91',name='AD1/PSP1/RD1',func=Pin.BIDIR,do_erc=True), Pin(num='12',name='RF0/AN5',func=Pin.BIDIR,do_erc=True), Pin(num='22',name='RF3/AN8',func=Pin.BIDIR,do_erc=True), Pin(num='32',name='Vref+/AN3/RA3',func=Pin.BIDIR,do_erc=True), Pin(num='42',name='TOCKI/RA4',func=Pin.BIDIR,do_erc=True), Pin(num='52',name='RG2/RX2/DT2',func=Pin.BIDIR,do_erc=True), Pin(num='62',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='72',name='VSSRX',func=Pin.PWRIN,do_erc=True), Pin(num='82',name='VSSPLL',func=Pin.PWRIN,do_erc=True), Pin(num='92',name='AD0/PSP0/RD0',func=Pin.BIDIR,do_erc=True), Pin(num='13',name='~MCLR~',do_erc=True), Pin(num='23',name='RF2/AN7/C1OUT',func=Pin.BIDIR,do_erc=True), Pin(num='33',name='Vref-/AN2/RA2',func=Pin.BIDIR,do_erc=True), Pin(num='43',name='T1OSI/ECCP2/P2A/RC1',func=Pin.BIDIR,do_erc=True), Pin(num='53',name='ECCP1/P1A/RC2',func=Pin.BIDIR,do_erc=True), Pin(num='63',name='OSC1/CLKI',do_erc=True), Pin(num='73',name='TPIN-',func=Pin.PASSIVE,do_erc=True), Pin(num='83',name='AD7/PSP7/~SS2~/RD7',func=Pin.BIDIR,do_erc=True), Pin(num='93',name='ECCP2/AD15/P2A/RE7',func=Pin.BIDIR,do_erc=True), Pin(num='14',name='RG4/CCP5/P1D',func=Pin.BIDIR,do_erc=True), Pin(num='24',name='RH7/AN15/P1B',func=Pin.BIDIR,do_erc=True), Pin(num='34',name='LEDB/AN1/RA1',func=Pin.BIDIR,do_erc=True), Pin(num='44',name='T13CKI/T1OSO/RC0',func=Pin.BIDIR,do_erc=True), Pin(num='54',name='SCK1/SCL1/RC3',func=Pin.BIDIR,do_erc=True), Pin(num='64',name='OSC2/CLK0',func=Pin.OUTPUT,do_erc=True), Pin(num='74',name='TPIN+',func=Pin.PASSIVE,do_erc=True), Pin(num='84',name='AD6/PSP6/SCK2/SCL2/RD6',func=Pin.BIDIR,do_erc=True), Pin(num='94',name='AD14/P1B/RE6',func=Pin.BIDIR,do_erc=True), Pin(num='15',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='25',name='RH6/AN14/P1C',func=Pin.BIDIR,do_erc=True), Pin(num='35',name='LEDA/AN0/RA0',func=Pin.BIDIR,do_erc=True), Pin(num='45',name='TX1/CK1/RC6',func=Pin.BIDIR,do_erc=True), Pin(num='55',name='SDI1/SDA1/RC4',func=Pin.BIDIR,do_erc=True), Pin(num='65',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='75',name='VDDRX',func=Pin.PWRIN,do_erc=True), Pin(num='85',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='95',name='AD13/P1C/RE5',func=Pin.BIDIR,do_erc=True), Pin(num='16',name='VDDCORE/VCAP',func=Pin.PASSIVE,do_erc=True), Pin(num='26',name='RH5/AN13/P3B',func=Pin.BIDIR,do_erc=True), Pin(num='36',name='VSS',func=Pin.PWRIN,do_erc=True), Pin(num='46',name='RX1/DT1/RC7',func=Pin.BIDIR,do_erc=True), Pin(num='56',name='SDO1/RC5',func=Pin.BIDIR,do_erc=True), Pin(num='66',name='RJ2/~WRL~',func=Pin.BIDIR,do_erc=True), Pin(num='76',name='VDDTX',func=Pin.PWRIN,do_erc=True), Pin(num='86',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='96',name='AD12/P3B/RE4',func=Pin.BIDIR,do_erc=True), Pin(num='17',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='27',name='RH4/AN12/P3C',func=Pin.BIDIR,do_erc=True), Pin(num='37',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='47',name='RJ4/BA0',func=Pin.BIDIR,do_erc=True), Pin(num='57',name='PGD/KBI3/RB7',func=Pin.BIDIR,do_erc=True), Pin(num='67',name='PGC/KBI2/RB6',func=Pin.BIDIR,do_erc=True), Pin(num='77',name='TPOUT-',func=Pin.PASSIVE,do_erc=True), Pin(num='87',name='AD5/PSP5/SDI2/SDA2/RD5',func=Pin.BIDIR,do_erc=True), Pin(num='97',name='AD11/P3C/RE3',func=Pin.BIDIR,do_erc=True), Pin(num='18',name='RF7/~SS1~',func=Pin.BIDIR,do_erc=True), Pin(num='28',name='RF1/AN6/C2OUT',func=Pin.BIDIR,do_erc=True), Pin(num='38',name='RG7',func=Pin.BIDIR,do_erc=True), Pin(num='48',name='RJ5/~CE~',func=Pin.BIDIR,do_erc=True), Pin(num='58',name='RJ6/~LB~',func=Pin.BIDIR,do_erc=True), Pin(num='68',name='KBI1/RB5',func=Pin.BIDIR,do_erc=True), Pin(num='78',name='TP0UT+',func=Pin.PASSIVE,do_erc=True), Pin(num='88',name='SD02/AD4/PSP4/RD4',func=Pin.BIDIR,do_erc=True), Pin(num='98',name='~CS~/AD10/P2B/RE2',func=Pin.BIDIR,do_erc=True), Pin(num='19',name='RF6/AN11',func=Pin.BIDIR,do_erc=True), Pin(num='29',name='ENVREG',func=Pin.PASSIVE,do_erc=True), Pin(num='39',name='RJ7/~UB~',func=Pin.BIDIR,do_erc=True), Pin(num='49',name='RJ0/ALE',func=Pin.BIDIR,do_erc=True), Pin(num='59',name='VDD',func=Pin.PWRIN,do_erc=True), Pin(num='69',name='KBI0/RB4',func=Pin.BIDIR,do_erc=True), Pin(num='79',name='VSSTX',func=Pin.PWRIN,do_erc=True), Pin(num='89',name='AD3/PSP3/RD3',func=Pin.BIDIR,do_erc=True), Pin(num='99',name='RH0/A16',func=Pin.BIDIR,do_erc=True), Pin(num='100',name='RH1/A17',func=Pin.BIDIR,do_erc=True)])])

78.554682

435

0.603014

18,836

109,898

3.439425

0.033181

0.107509

0.193517

0.244686

0.9605

0.959281

0.950961

0.940465

0.919642

0.91197

0

0.069881

0.168593

109,898

1,398

436

78.610873

0.639159

0

0.606734

0

0.005014

0.216719

0.02101

0

1

0

false

0.01361

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0

0.000716

0

null

0

1

0

null

0

8

510ae4960de347bf4e9c5ef20547d47c9ddde128

7,311

py

Python

botx/bots/mixins/collecting/system_events.py

ExpressApp/pybotx

97c8b1ce5d45a05567ed01d545cb43174a2dcbb9

[ "MIT" ]

13

2021-01-21T12:43:10.000Z

2022-03-23T11:11:59.000Z

botx/bots/mixins/collecting/system_events.py

ExpressApp/pybotx

97c8b1ce5d45a05567ed01d545cb43174a2dcbb9

[ "MIT" ]

259

2020-02-26T08:51:03.000Z

2022-03-23T11:08:36.000Z

botx/bots/mixins/collecting/system_events.py

ExpressApp/pybotx

97c8b1ce5d45a05567ed01d545cb43174a2dcbb9

[ "MIT" ]

5

2019-12-02T16:19:22.000Z

2021-11-22T20:33:34.000Z

"""Mixin that defines handler decorator.""" from typing import Any, Callable, Optional, Sequence from botx.collecting.collectors.collector import Collector from botx.dependencies.models import Depends from botx.models.enums import SystemEvents class SystemEventsHandlerMixin: # noqa: WPS214 """Mixin that defines handler decorator.""" collector: Collector def system_event( # noqa: WPS211 self, handler: Optional[Callable] = None, *, event: Optional[SystemEvents] = None, events: Optional[Sequence[SystemEvents]] = None, name: Optional[str] = None, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for system event. Arguments: handler: callable that will be used for executing handler. event: event for triggering this handler. events: a sequence of events that will trigger handler. name: optional name for handler that will be used in generating body. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.system_event( handler=handler, event=event, events=events, name=name, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def chat_created( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `system:chat_created` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.chat_created( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def file_transfer( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `file_transfer` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.file_transfer( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def added_to_chat( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `added_to_chat` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.added_to_chat( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def deleted_from_chat( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `deleted_from_chat` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.deleted_from_chat( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def left_from_chat( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `left_from_chat` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.left_from_chat( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def cts_login( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `cts_login` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.cts_login( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, ) def cts_logout( self, handler: Optional[Callable] = None, *, dependencies: Optional[Sequence[Depends]] = None, dependency_overrides_provider: Any = None, ) -> Callable: """Register handler for `cts_logout` event. Arguments: handler: callable that will be used for executing handler. dependencies: sequence of dependencies that should be executed before handler. dependency_overrides_provider: mock of callable for handler. Returns: Passed in `handler` callable. """ return self.collector.cts_logout( handler=handler, dependencies=dependencies, dependency_overrides_provider=dependency_overrides_provider, )

34.004651

81

0.622213

683

7,311

6.519766

0.102489

0.136537

0.194027

0.028296

0.847294

0.82596

0.80777

0

0.001193

0.311859

7,311

214

82

34.163551

0.88392

0.386951

0

0.666667

0

1

0.074074

false

0

0.037037

0

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0

null

0

1

0

1

0

null

0

7

510d17bce508a2f374d91ce226a95ccf59cf25a8

138

py

Python

smartbox/__init__.py

graham33/smartbox

f7deaf85b50f0821fba265aaf54319e03cf86dbc

[ "MIT" ]

2

2021-03-08T14:40:12.000Z

2021-11-12T14:50:01.000Z

smartbox/__init__.py

graham33/smartbox

f7deaf85b50f0821fba265aaf54319e03cf86dbc

[ "MIT" ]

7

2021-03-09T22:06:03.000Z

2022-03-06T22:30:45.000Z

smartbox/__init__.py

graham33/smartbox

f7deaf85b50f0821fba265aaf54319e03cf86dbc

[ "MIT" ]

3

2021-02-23T09:32:22.000Z

2021-09-27T09:37:16.000Z

from .error import SmartboxError # noqa: F401 from .session import Session # noqa: F401 from .socket import SocketSession # noqa: F401

34.5

47

0.76087

18

138

5.833333

0.5

0.228571

0

0.078947

0.173913

138

3

48

46

0.842105

0.231884

0

1

0

true

0

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1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

51116957d6d2aa225af7480a8dea787647f8fccf

2,554

py

Python

tests/processor/test_ProgramCounter.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

tests/processor/test_ProgramCounter.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

tests/processor/test_ProgramCounter.py

jamesjiang52/Bitwise

c71f151d23034b3f9e2a939f637be0eaa16c45c3

[ "MIT" ]

null

import bitwise as bw class TestProgramCounter: def test_ProgramCounter(self): input_bus = bw.wire.Bus16() up = bw.wire.Wire() load = bw.wire.Wire() clock = bw.wire.Wire() output_bus = bw.wire.Bus16() a = bw.processor.ProgramCounter(input_bus, up, load, clock, output_bus) clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) up.value = 1 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1) up.value = 1 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0) up.value = 1 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1) up.value = 0 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1) clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1) input_bus.wire_values = ( 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1) load.value = 1 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1) load.value = 0 up.value = 1 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0) clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1) input_bus.wire_values = ( 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) load.value = 1 clock.value = 0 clock.value = 1 assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0) print(a.__doc__) print(a) a( data_bus=(0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1), up=0, load=1, clock=0, output_bus=None ) a(clock=1) assert output_bus.wire_values == ( 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1)

28.696629

79

0.437745

434

2,554

2.490783

0.06682

0.296022

0.39408

0.458834

0.757632

0

0.172643

0.410337

2,554

88

80

29.022727

0.545153

0

0.643836

0

0.150685

1

0.013699

false

0

0.013699

0

0.041096

0.027397

0

null

1

0

1

0

null

0

8

511b619584d8f89e4e193626f66fc995b01a06b8

205

py

Python

production/pygsl-0.9.5/gsl_dist/array_includes.py

juhnowski/FishingRod

457e7afb5cab424296dff95e1acf10ebf70d32a9

[ "MIT" ]

1

2019-07-29T02:53:51.000Z

production/pygsl-0.9.5/gsl_dist/array_includes.py

juhnowski/FishingRod

457e7afb5cab424296dff95e1acf10ebf70d32a9

[ "MIT" ]

1

2021-09-11T14:30:32.000Z

Dockerfiles/gedlab-khmer-filter-abund/pymodules/python2.7/lib/python/pygsl/gsl_dist/array_includes.py

poojavade/Genomics_Docker

829b5094bba18bbe03ae97daf925fee40a8476e8

[ "Apache-2.0" ]

2

2016-12-19T02:27:46.000Z

2019-07-29T02:53:54.000Z

""" WARNING: File Generated during build. DO NOT MODIFY!!! """ array_include_dirs = [] from numpy.distutils.misc_util import get_numpy_include_dirs array_include_dirs = get_numpy_include_dirs()

22.777778

62

0.756098

28

205

5.142857

0.642857

0.305556

0.222222

0.263889

0

0.15122

205

8

63

25.625

0.827586

0.263415

0

1

0

1

0

false

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

1

0

null

0

1

0

7

51545f5ee08776d3eaa2bffb8f7910cd6cb8d5c2

38,162

py

Python

synchronized.py

brookman1/synchronized

1b753aca6886b86f20d036ac9540a347e3531f3b

[ "Unlicense" ]

null

synchronized.py

brookman1/synchronized

1b753aca6886b86f20d036ac9540a347e3531f3b

[ "Unlicense" ]

null

synchronized.py

brookman1/synchronized

1b753aca6886b86f20d036ac9540a347e3531f3b

[ "Unlicense" ]

null

import functools import threading class NotAbleToLock(Exception): pass class ThreadSleep(object): __slots__ = ['lock', 'condition', ] def __init__(self): self.lock = threading.Lock() self.condition = threading.Condition(self.lock) self.condition.acquire() def __call__(self, seconds): self.condition.wait(seconds) class RWSynchronization(object): ''' Some objects can be viewed by many readers at the same time but only one writer can be allowed to modify it at a time, and all the readers usually need to wait for write to complete so there would not be dirty reads. RWSynchronization is a context manager that can use separetly created semaphor and a mutex to enable read/write. If default, class local, mutex and semaphore are selected, then object is either a glofied resource, access limiter or not so spiffy mutex. ''' def __init__(self, counting_semaphore=None, mutex_lock=None, simultaneous_reads=1, blocking=True, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=False): self.counting_semaphore = counting_semaphore or \ threading.Semaphore(simultaneous_reads) self.mutex_lock = mutex_lock or threading.Lock() self.blocking = blocking self.retries_until_locked = retries_until_locked or 0 self.simultaneous_reads = simultaneous_reads self.write_lock = write_lock self.to_raise = raise_this or NotAbleToLock self.thread_sleep = ThreadSleep() def _get_read_lock(self): retry = self.retries_until_locked or 1 while retry: if self.mutex_lock.acquire(self.blocking): if self.counting_semaphore.acquire(self.blocking): self.mutex_lock.release() return True else: self.mutex_lock.release() self.thread_sleep(0.0005) retry -= 1 return False def _unlock_reader(self): self.counting_semaphore.release() def _get_write_lock(self): retry = self.retries_until_locked or 1 while retry > 0: lockout_readers = self.simultaneous_reads if self.mutex_lock.acquire(self.blocking): while lockout_readers and retry: if self.counting_semaphore.acquire(self.blocking): lockout_readers -= 1 else: while lockout_readers <= self.simultaneous_reads: self.counting_semaphore.release() lockout_readers += 1 self.thread_sleep(0.5) retry -= 1 if lockout_readers == 0: return True if not retry: break self.thread_sleep(0.0005) retry -= 1 return False def _unlock_writer(self): unlock_readers = self.simultaneous_reads while unlock_readers: self.counting_semaphore.release() unlock_readers -= 1 self.mutex_lock.release() def __enter__(self, ): locked = self._get_write_lock() if self.write_lock \ else self._get_read_lock() if not locked: raise self.to_raise("Not able to lock in Synchronization %s" % "Read Lock" if not self.write_lock else "Write Lock") return self def __exit__(self, *args): if self.write_lock: self._unlock_writer() else: self._unlock_reader() class RWSynchronized(object): __slots__ = ['rwSynchronization', ] def __init__(self, counting_semaphore=None, mutex_lock=None, simultaneous_reads=1, blocking=True, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=False): self.rwSynchronization = RWSynchronization( counting_semaphore=counting_semaphore, mutex_lock=mutex_lock, simultaneous_reads=simultaneous_reads, blocking=blocking, retries_until_locked=retries_until_locked, raise_this=raise_this, write_lock=write_lock ) def __call__(self, f,): def synchronized_wrapper(*args, **kwargs): self.rwSynchronization.__enter__() try: return f(*args, **kwargs) except Exception: raise finally: self.rwSynchronization.__exit__() functools.update_wrapper(synchronized_wrapper, f) return synchronized_wrapper rwSynchronized = RWSynchronized class Synchronization(object): def __init__(self, locks=None, rlock=True, blocking=True, raise_this=NotAbleToLock, retries_until_locked=False): ''' Here we need to descide what locks we are going to use. locks -- a list of lock to spin through, best to have the right order that locks should be spun through. blocking -- always false if more than 1 lock in list otherwise true if not specified otherwise raise_this -- exception that will be raised, default is NotAbleToLock retries_until_locked -- if False then defaul value for several locks is 10. Any retry is meant to be used by a different decorator. Exception -- NotAbleToLock is defualt exception raised ''' if locks: self.locks = locks else: if rlock: self.locks = [threading.RLock(), ] else: self.locks = [threading.Lock(), ] def default_blocking(): if len(locks) <= 1: return blocking else: return False self.blocking = default_blocking() def default_retries_until_locked(): if len(locks) <= 1 or retries_until_locked > 0: return retries_until_locked return 10 self.to_raise = raise_this or NotAbleToLock self.retries_until_locked = default_retries_until_locked() self.thread_sleep = ThreadSleep() def _get_locks(self): locked = [] for lock in self.locks: if lock.acquire(self.blocking): locked.append(lock) else: for lock in locked: lock.release() return False return True def _unlock(self): for lock in self.locks: lock.release() def __enter__(self, ): isLocked = self._get_locks() if not isLocked and not self.retries_until_locked: raise self.to_raise("Not able to acquire lock in synchronization.") retry = self.retries_until_locked or 0 while retry and not isLocked: self.thread_sleep(0.0005) isLocked = self._get_locks() if isLocked: break retry -= 1 if not isLocked: raise self.to_raise("Not able to acquire lock in synchronization.") return self def __exit__(self, *args): self._unlock() class Synchronized(object): ''' Making a decorator class for Synchronization, putting in self.Synchronization as the underlying mechanism. __slots__ below are just ''' __slots__ = ['synchronization', ] def __init__(self, locks=None, rlock=True, blocking=True, raise_this=NotAbleToLock, retries_until_locked=False): ''' Here we need to descide what locks we are going to use. locks -- a list of lock to spin through, best to have the right order that locks should be spun through. blocking -- always false if more than 1 lock in list otherwise true if not specified otherwise raise_this -- exception that will be raised, default is NotAbleToLock retries_until_locked -- if False then defaul value for several locks is 10. Any retry is meant to be used by a different decorator. Exception -- NotAbleToLock is raised ''' self.synchronization = \ Synchronization(locks=locks, rlock=rlock, blocking=blocking, raise_this=raise_this, retries_until_locked=retries_until_locked) def __call__(self, f): def wrapped_synched_test_func(*args, **kwargs): self.synchronization.__enter__() try: return f(*args, **kwargs) except Exception: raise finally: self.synchronization.__exit__() functools.update_wrapper(wrapped_synched_test_func, f) return wrapped_synched_test_func synchronized = Synchronized # decorators freuently used as lowercase names. ###################################################################### # It is best to put this one in a separate file. ###################################################################### import unittest class UnitTest_RWSynchronization_MultiTread(unittest.TestCase): def setUp(self): ''' Activities that will be started by thread, test_thread_run_target_reader test_thread_run_target_writer both have sleep times set via kwargs sleep_time passed in by threading.Thread(...) at startup. This makes one thread come to a section when another has it locked. ''' self.test_mutex_lock = threading.Lock() self.test_semaphore = threading.Semaphore() self.test_thread_activity1 = None self.test_thread_activity2 = None self.test_thread_activity3 = None def test_thread_run_target_writer(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity1: self.test_thread_activity1() print('%s done.' % self.thread_1.name) def test_thread_run_target_reader(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity2: self.test_thread_activity2(*args) print('%s done.' % self.thread_2.name) self.thread_1 = threading.Thread(name=repr(type(self))+' thread 1 W', target=test_thread_run_target_writer, kwargs={'sleep_time': 0.3}) self.thread_2 = threading.Thread(name=repr(type(self))+' thread 2 R', target=test_thread_run_target_reader, kwargs={'sleep_time': 0.1}, args=(2, )) self.thread_3 = threading.Thread(name=repr(type(self))+' thread 2 R', target=test_thread_run_target_reader, kwargs={'sleep_time': 0.31}, args=(3, )) def setup_activitiesi_and_initial_state(self): self.expected_number_of_items = 2 self.list_based_test_load = [0.14, 0.01, ] def test_thread_activity_writer(): with RWSynchronization(mutex_lock=self.test_mutex_lock, counting_semaphore=self.test_semaphore, write_lock=True): thread_sleep = ThreadSleep() if self.expected_number_of_items != \ len(self.list_based_test_load): self.assertFalse('Inconsistent thread work state') print("Thread_activity") sleep_interval = self.list_based_test_load.pop(0) thread_sleep(sleep_interval) self.expected_number_of_items = len(self.list_based_test_load) print("slept %d" % sleep_interval) def test_thread_activity_reader(start_order): with RWSynchronization(mutex_lock=self.test_mutex_lock, counting_semaphore=self.test_semaphore, write_lock=False): thread_sleep = ThreadSleep() if self.expected_number_of_items != \ len(self.list_based_test_load): self.assertFalse('Inconsistent thread work state') print("Thread_activity") sleep_interval = 0.01 if start_order == 2 and len(self.list_based_test_load) != 2: self.assertFalse('Inconsistent thread work state') # came after the writer executed. if start_order == 3 and len(self.list_based_test_load) != 1: self.assertFalse('Inconsistent thread_work state') thread_sleep(sleep_interval) self.test_thread_activity1 = test_thread_activity_writer self.test_thread_activity2 = test_thread_activity_reader self.test_thread_activity3 = test_thread_activity_reader def test_sychronized_activity(self): ''' using list-based queue check work state, number of items = counter. Raise exception if state is inconsitent Writer will, 1. make inconsistent thread condition, pop one item off 2. sleep a randon interval that came from the list 3. fix inconsistent state. Reader will take an argument specifing it's expected start order, 1. If reader is expected to be at the synchronized section first, it will check that list has both items 2. If reader gets to the synchronized section last it checks that list only has one item ''' self.setup_activitiesi_and_initial_state() try: self.thread_1.start() self.thread_2.start() self.thread_3.start() self.thread_1.join() self.thread_2.join() self.thread_3.join() except Exception as e: self.assertFalse(str(e) + ' ' + repr(e)) else: self.assertTrue(True) class UnitTest_RWSynchronization_OneThread(unittest.TestCase): def setUp(self): self.test_semaphore = threading.Semaphore(10) self.test_lock = threading.Lock() def test_rwSynchronized_OneThread_readlock(self): with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=True, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=False) as rw_synchronized: self.assertTrue(rw_synchronized) def test_rwSynchronized_OneThread_writelock(self): with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=True, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=True) as rw_synchronized: self.assertTrue(rw_synchronized) def test_rwSynchronized_OneThread_read_fail(self): self.test_lock.acquire() with self.assertRaises(NotAbleToLock) as e: with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=False) as rw_synchronized: self.assertFalse("Should not have gotten locked, %s" % rw_synchronized) self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=1, raise_this=NotAbleToLock, write_lock=False) as rw_synchronized: self.assertFalse("Should not have gotten locked, %s" % rw_synchronized) self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=3, raise_this=NotAbleToLock, write_lock=False) as rw_synchronized: self.assertFalse("Should not have gotten locked, %s" % rw_synchronized) self.assertTrue(e) self.test_lock.release() def test_rwSynchronized_OneThread_write_fail(self): self.test_lock.acquire() with self.assertRaises(NotAbleToLock) as e: with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=True) as rw_synchronized: self.assertFalse("Should not have gotten locked, %s" % rw_synchronized) self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=1, raise_this=NotAbleToLock, write_lock=True) as rw_synchronized: self.assertFalse("Should not have gotten locked, %s" % rw_synchronized) self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: with RWSynchronization(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=3, raise_this=NotAbleToLock, write_lock=True) as rw_synchronized: self.assertFalse("Should not have gotten locked, %s" % rw_synchronized) self.assertTrue(e) self.test_lock.release() class UnitTest_RWSynchronized_MultiTread(unittest.TestCase): def setUp(self): ''' Activities that will be started by thread, test_thread_run_target_reader test_thread_run_target_writer both have sleep times set via kwargs sleep_time passed in by threading.Thread(...) at startup. This makes one thread come to a section when another has it locked. ''' self.test_mutex_lock = threading.Lock() self.test_semaphore = threading.Semaphore() self.test_thread_activity1 = None self.test_thread_activity2 = None self.test_thread_activity3 = None def test_thread_run_target_writer(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity1: self.test_thread_activity1() print('%s done.' % self.thread_1.name) def test_thread_run_target_reader(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity2: self.test_thread_activity2(*args) print('%s done.' % self.thread_2.name) self.thread_1 = threading.Thread(name=repr(type(self))+' thread 1 W', target=test_thread_run_target_writer, kwargs={'sleep_time': 0.3}) self.thread_2 = threading.Thread(name=repr(type(self))+' thread 2 R', target=test_thread_run_target_reader, kwargs={'sleep_time': 0.1}, args=(2, )) self.thread_3 = threading.Thread(name=repr(type(self))+' thread 2 R', target=test_thread_run_target_reader, kwargs={'sleep_time': 0.31}, args=(3, )) def setup_activitiesi_and_initial_state(self): self.expected_number_of_items = 2 self.list_based_test_load = [0.14, 0.01, ] @rwSynchronized(mutex_lock=self.test_mutex_lock, counting_semaphore=self.test_semaphore, write_lock=True) def test_thread_activity_writer(): thread_sleep = ThreadSleep() if self.expected_number_of_items != \ len(self.list_based_test_load): self.assertFalse('Inconsistent thread work state') print("Thread_activity") sleep_interval = self.list_based_test_load.pop(0) thread_sleep(sleep_interval) self.expected_number_of_items = len(self.list_based_test_load) print("slept %d" % sleep_interval) @rwSynchronized(mutex_lock=self.test_mutex_lock, counting_semaphore=self.test_semaphore, write_lock=False) def test_thread_activity_reader(start_order): thread_sleep = ThreadSleep() if self.expected_number_of_items != \ len(self.list_based_test_load): self.assertFalse('Inconsistent thread work state') print("Thread_activity") sleep_interval = 0.01 if start_order == 2 and len(self.list_based_test_load) != 2: self.assertFalse('Inconsistent thread work state') # came after the writer executed. if start_order == 3 and len(self.list_based_test_load) != 1: self.assertFalse('Inconsistent thread_work state') thread_sleep(sleep_interval) self.test_thread_activity1 = test_thread_activity_writer self.test_thread_activity2 = test_thread_activity_reader self.test_thread_activity3 = test_thread_activity_reader def test_sychronized_activity(self): ''' using list-based queue check work state, number of items = counter. Raise exception if state is inconsitent Writer will, 1. make inconsistent thread condition, pop one item off 2. sleep a randon interval that came from the list 3. fix inconsistent state. Reader will take an argument specifing it's expected start order, 1. If reader is expected to be at the synchronized section first, it will check that list has both items 2. If reader gets to the synchronized section last it checks that list only has one item ''' self.setup_activitiesi_and_initial_state() try: self.thread_1.start() self.thread_2.start() self.thread_3.start() self.thread_1.join() self.thread_2.join() self.thread_3.join() except Exception as e: self.assertFalse(str(e) + ' ' + repr(e)) else: self.assertTrue(True) class UnitTest_RWSynchronized_OneThread(unittest.TestCase): def setUp(self): self.test_semaphore = threading.Semaphore(10) self.test_lock = threading.Lock() def test_rwSynchronized_OneThread_readlock(self): @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=True, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=False) def test_synch_func(): self.assertTrue("function passed") test_synch_func() def test_rwSynchronized_OneThread_writelock(self): @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=True, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=True) def test_synch_func(): self.assertTrue("function passed") test_synch_func() def test_rwSynchronized_OneThread_read_fail(self): self.test_lock.acquire() with self.assertRaises(NotAbleToLock) as e: @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=False) def test_synch_func(): self.assertFalse("Should not have gotten locked") test_synch_func() self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=1, raise_this=NotAbleToLock, write_lock=False) def test_synch_func(): self.assertFalse("Should not have gotten locked") test_synch_func() self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=3, raise_this=NotAbleToLock, write_lock=False) def test_synch_func(): self.assertFalse("Should not have gotten locked") test_synch_func() self.assertTrue(e) self.test_lock.release() def test_rwSynchronized_OneThread_write_fail(self): self.test_lock.acquire() with self.assertRaises(NotAbleToLock) as e: @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=False, raise_this=NotAbleToLock, write_lock=True) def test_synch_func(): self.assertFalse("Should not have gotten locked") test_synch_func() self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=1, raise_this=NotAbleToLock, write_lock=True) def test_synch_func(): self.assertFalse("Should not have gotten locked") test_synch_func() self.assertTrue(e) with self.assertRaises(NotAbleToLock) as e: @rwSynchronized(counting_semaphore=self.test_semaphore, mutex_lock=self.test_lock, simultaneous_reads=1, blocking=False, retries_until_locked=3, raise_this=NotAbleToLock, write_lock=True) def test_synch_func(): self.assertFalse("Should not have gotten locked") test_synch_func() self.assertTrue(e) self.test_lock.release() class UnitTest_Synchronization_OneThread(unittest.TestCase): def setUp(self): self.test_rlock = threading.RLock() self.test_lock = threading.Lock() self.locks = [threading.Lock(), threading.Lock(), threading.Lock(), ] def test_no_spawned_thread_run(self): with Synchronization(self.locks): self.assertEqual(1, 1) def test_no_spawned_thread_run_prelocked(self): self.locks[0].acquire() with self.assertRaises(NotAbleToLock) as cm: with Synchronization(self.locks): self.assertEqual(0, -1) self.assertTrue(cm.exception) with self.assertRaises(NotAbleToLock) as cm: with Synchronization(self.locks, blocking=False, retries_until_locked=10): self.assertEqual(0, -1) self.assertTrue(cm.exception) class UnitTest_Synchronized_OneThread(unittest.TestCase): ''' Tests the decorator version of synchronization. ''' def setUp(self): self.test_rlock = threading.RLock() self.test_lock = threading.Lock() self.locks = [threading.Lock(), threading.Lock(), threading.Lock(), ] def test_no_spawned_thread_run(self): @synchronized(self.locks) def synchronized_test_func(*args, **kwargs): pass synchronized_test_func() self.assertEqual(1, 1) def test_no_spawned_thread_run_prelocked(self): self.locks[0].acquire() with self.assertRaises(NotAbleToLock) as cm: @synchronized(self.locks, blocking=False) def synchronized_test_func(*args, **kwargs): self.assertEqual(0, -1) synchronized_test_func() self.assertTrue(cm.exception) with self.assertRaises(NotAbleToLock) as cm: @synchronized(self.locks, blocking=False, retries_until_locked=10) def synchronized_test_func(*args, **kwargs): self.assertEqual(0, -1) synchronized_test_func() self.assertTrue(cm.exception) class UnitTest_Synchronization_MultiThread(unittest.TestCase): def setUp(self): ''' Activities that will be started by thread, test_thread_run_target_1 test_thread_run_target_2 both have sleep times set via kwargs sleep_time passed in by threading.Thread(...) at startup. This makes one thread come to a section when another has it locked. ''' self.test_rlock = threading.RLock() self.test_lock = threading.Lock() self.locks = [threading.Lock(), threading.Lock(), threading.Lock(), ] self.test_thread_activity1 = None self.test_thread_activity2 = None def test_thread_run_target_1(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity1: self.test_thread_activity1() print('%s done.' % self.thread_1.name) def test_thread_run_target_2(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity2: self.test_thread_activity2() print('%s done.' % self.thread_2.name) self.thread_1 = threading.Thread(name=repr(type(self))+' thread 1', target=test_thread_run_target_1, kwargs={'sleep_time': 0.3}) self.thread_2 = threading.Thread(name=repr(type(self))+' thread 2', target=test_thread_run_target_2, kwargs={'sleep_time': 0.1}) def test_sychronized_activity(self): ''' 1. using list-based queue check work state, number of items = counter. Raise exception if state is inconsitent 2. make inconsistent thread condition, pop one item off 3. sleep a randon interval 4. fix inconsistent state. ''' self.expected_number_of_items = 2 self.list_based_test_load = [0.14, 0.01, ] def test_thread_activity(): with Synchronization([self.test_lock]): thread_sleep = ThreadSleep() if self.expected_number_of_items != \ len(self.list_based_test_load): self.assertFalse('Inconsistent thread work state') print("Thread_activity") sleep_interval = self.list_based_test_load.pop(0) thread_sleep(sleep_interval) self.expected_number_of_items = len(self.list_based_test_load) print("slept %d" % sleep_interval) self.test_thread_activity1 = test_thread_activity self.test_thread_activity2 = test_thread_activity try: self.thread_1.start() self.thread_2.start() self.thread_1.join() self.thread_2.join() except Exception as e: self.assertFalse(str(e) + ' ' + repr(e)) else: self.assertTrue(True) class UnitTest_Synchronized_MultiThread(unittest.TestCase): def setUp(self): self.test_rlock = threading.RLock() self.test_lock = threading.Lock() self.locks = [threading.Lock(), threading.Lock(), threading.Lock(), ] self.test_thread_activity1 = None self.test_thread_activity2 = None def test_thread_run_target_1(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity1: self.test_thread_activity1() print('%s done.' % self.thread_1.name) def test_thread_run_target_2(*args, **kwargs): thread_sleep = ThreadSleep() thread_sleep(kwargs.get('sleep_time')) if self.test_thread_activity2: self.test_thread_activity2() print('%s done.' % self.thread_2.name) self.thread_1 = threading.Thread(name=repr(type(self))+' thread 1', target=test_thread_run_target_1, kwargs={'sleep_time': 0.3}) self.thread_2 = threading.Thread(name=repr(type(self))+' thread 2', target=test_thread_run_target_2, kwargs={'sleep_time': 0.1}) def test_sychronized_activity(self): ''' 1. using list-based queue check work state, number of items = counter. Raise exception if state is inconsitent 2. make inconsistent thread condition, pop one item off 3. sleep a randon interval 4. fix inconsistent state. ''' self.expected_number_of_items = 2 self.list_based_test_load = [0.3, 0.4, ] @synchronized([self.test_lock]) def test_thread_activity(): thread_sleep = ThreadSleep() if self.expected_number_of_items != len(self.list_based_test_load): raise Exception('Inconsistent thread work stated') sleep_interval = self.list_based_test_load.pop(0) print("Thread_activity") thread_sleep(sleep_interval) self.expected_number_of_items = len(self.list_based_test_load) print("slept: ", sleep_interval) self.test_thread_activity1 = test_thread_activity self.test_thread_activity2 = test_thread_activity try: self.thread_1.start() self.thread_2.start() self.thread_1.join() self.thread_2.join() except Exception as e: self.assertFalse(str(e) + ' ' + repr(e)) if __name__ == '__main__': unittest.main()

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5aa09da29654ba4c20c8fb2eb814f922868ab209

22,564

py

Python

pymaclab/dsge/updaters/one_off.py

radovankavicky/pymaclab

21da758f64ed0b62969c9289576f677e977cfd98

[ "Apache-2.0" ]

96

2015-01-25T05:59:56.000Z

2021-12-29T14:05:22.000Z

pymaclab/dsge/updaters/one_off.py

1zinnur9/pymaclab

21da758f64ed0b62969c9289576f677e977cfd98

[ "Apache-2.0" ]

3

2015-12-17T19:25:46.000Z

2018-06-19T07:05:20.000Z

pymaclab/dsge/updaters/one_off.py

1zinnur9/pymaclab

21da758f64ed0b62969c9289576f677e977cfd98

[ "Apache-2.0" ]

36

2016-01-31T15:22:01.000Z

2021-03-29T07:03:07.000Z

''' .. module:: one_off :platform: Linux :synopsis: A collection of tools required for doing intelligent and dynamic DSGE model instance updating at runtime. The version in this module is for the one-off updater behaviour. .. moduleauthor:: Eric M. Scheffel <eric.scheffel@nottingham.edu.cn> ''' from copy import deepcopy from ..solvers.steadystate import ManualSteadyState class Updaters(object): def __init__(self): pass class dicwrap: def __init__(self,other,wrapobj_str,initlev): self.other = other self.wrapobj_str = wrapobj_str wrapobj = eval('other.'+wrapobj_str.split('.')[1]) self.wrapobj = wrapobj self.initlev = initlev if wrapobj_str == 'self.vardic': self.wrapdic = deepcopy(other.vardic) elif wrapobj_str == 'self.nlsubsdic': self.wrapdic = deepcopy(other.nlsubsdic) elif wrapobj_str == 'self.paramdic': self.wrapdic = deepcopy(other.paramdic) def __getattr__(self,attrname): return getattr(self.wrapdic,attrname) def __setitem__(self,key,value): other = self.other initlev = self.initlev wrapobj_str = self.wrapobj_str wrapobj = self.wrapobj mesg = other._mesg # ...and assign before test of inequality old_value = deepcopy(wrapobj[key]) wrapobj[key] = value # Test if the dictionary has changed relative to self.wrapdic if self.wrapdic != wrapobj: if mesg: print "You have UPDATED in object "+wrapobj_str+"['"+key+"']:" print str(old_value)+' --> '+str(value) ##### THE INITS ##################### other.inits.init1() ######## Copy correct values into the model instance ######## if wrapobj_str == 'self.paramdic': for keyo in wrapobj.keys(): other.paramdic[keyo] = deepcopy(wrapobj[keyo]) elif wrapobj_str == 'self.nlsubsdic': for keyo in wrapobj.keys(): other.nlsubsdic[keyo] = deepcopy(wrapobj[keyo]) elif wrapobj_str == 'self.vardic': for keyo in wrapobj.keys(): other.vardic[keyo] = deepcopy(wrapobj[keyo]) ############################################################## if wrapobj_str == 'self.vardic': other.vardic.update(wrapobj) other.inits.init1a() if wrapobj_str == 'self.nlsubsdic': for i1,elem in enumerate(other.nlsubs_raw1): other.nlsubs_raw1[i1][1] = self.wrapdic[other.nlsubs_raw1[i1][0]] other.nlsubsdic.update(wrapobj) other.inits.init1b() if wrapobj_str == 'self.paramdic': other.paramdic.update(wrapobj) other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __getitem__(self,key): return self.wrapdic[key] def update(self,dico): self.updic = dico other = self.other initlev = self.initlev wrapobj_str = self.wrapobj_str wrapobj = self.wrapobj wrapobj.update(dico) # Check if new keys are already present in wrapdic for keyo in dico.keys(): if keyo not in self.wrapdic.keys(): print "ERROR: You can only update existing keys, not introduce new ones." return # Check if any key's value has been updated relative to wrapdic if self.wrapdic != wrapobj: self.wrapdic.update(wrapobj) ##### THE INITS ##################### other.inits.init1() ######## Copy correct values into the model instance ######## if wrapobj_str == 'self.paramdic': for keyo in wrapobj.keys(): other.paramdic[keyo] = deepcopy(wrapobj[keyo]) elif wrapobj_str == 'self.nlsubsdic': for keyo in wrapobj.keys(): other.nlsubsdic[keyo] = deepcopy(wrapobj[keyo]) elif wrapobj_str == 'self.vardic': for keyo in wrapobj.keys(): other.vardic[keyo] = deepcopy(wrapobj[keyo]) ############################################################## if wrapobj_str == 'self.vardic': other.vardic = deepcopy(wrapobj) other.inits.init1a() if wrapobj_str == 'self.nlsubsdic': for i1,elem in enumerate(other.nlsubs_raw1): other.nlsubs_raw1[i1][1] = self.wrapdic[other.nlsubs_raw1[i1][0]] other.nlsubsdic.update(wrapobj) other.inits.init1b() if wrapobj_str == 'self.paramdic': other.paramdic.update(wrapobj) other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __repr__(self): return self.wrapdic.__repr__() def __str__(self): return self.wrapdic.__str__() class listwrapk: def __init__(self,other,wrapobj,wrapobj_str,wrapdic,initlev): self.other = other self.wrapobj = wrapobj self.wrapobj_str = wrapobj_str self.wrapdic = wrapdic self.initlev = initlev self.wrapli = deepcopy(wrapobj) def reinit(self,other): # Need to copy manually as inner wrapped objects do not support deepcopy if self.wrapobj_str == 'self.vardic': var_keys = [] for keyo in other.vardic.keys(): var_keys.append(keyo) del other.vardic other.vardic = {} for keyo in var_keys: other.vardic[keyo]={} other.vardic[keyo]['var']=[] other.vardic[keyo]['mod']=[] for keyo1 in self.wrapdic.keys(): for keyo2 in self.wrapdic[keyo1].keys(): other.vardic[keyo1][keyo2] = [] for i1,elem1 in enumerate(self.wrapdic[keyo1][keyo2]): other.vardic[keyo1][keyo2].append([]) for i2,elem2 in enumerate(elem1): other.vardic[keyo1][keyo2][i1].append(elem2) def __getattr__(self,attrname): return getattr(self.wrapli,attrname) def __setslice__(self,ind1,ind2,into): other = self.other wrapobj = self.wrapobj initlev = self.initlev lengo = len(self.wrapli) if ind2 >= lengo: print "ERROR: Assignment out of bounds of original list" return ##### THE INITS ##################### #other.init1() if self.wrapli[ind1:ind2] != into: self.wrapli[ind1:ind2] = into wrapobj[ind1:ind2] = into other.updaters.vardic.wrapobj.update(other.updaters.vardic) self.reinit(other) other.inits.init1a() other.inits.init1b() other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __setitem__(self,ind,into): other = self.other initlev = self.initlev wrapobj = self.wrapobj lengo = len(self.wrapli) if ind >= lengo: print "ERROR: Assignment out of bounds of original list" return ##### THE INITS ##################### #other.inits.init1() if self.wrapli[ind] != into: self.wrapli[ind] = into wrapobj[ind] = into other.updaters.vardic.wrapobj.update(other.updaters.vardic) self.reinit(other) other.inits.init1a() other.inits.init1b() other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __getitem__(self,ind): lengo = len(self.wrapli) if ind >= lengo: print "ERROR: Assignment out of bounds of original list" return else: return self.wrapli[ind] def __repr__(self): return self.wrapli.__repr__() def __str__(self): return self.wrapli.__str__() class dicwrapk: def __init__(self,other,wrapobj,initlev): self.other = other self.wrapobj = wrapobj self.initlev = initlev self.wrapdic = deepcopy(wrapobj) def __getattr__(self,attrname): return getattr(self.wrapdic,attrname) def __setitem__(self,key,value): other = self.other initlev = self.initlev wrapobj = self.wrapobj wrapobj[key] = value # Test if the dictionary has changed relative to self.wrapdic if self.wrapdic != wrapobj: self.wrapdic[key] = value ##### THE INITS ##################### #other.inits.init1() other.vardic.upate(self.wrapdic) other.updaters.vardic.wrapobj.update(self.wrapdic) other.inits.init1a() other.inits.init1b() other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __getitem__(self,key): return self.wrapdic[key] def update(self,dico): self.updic = dico other = self.other initlev = self.initlev wrapobj = self.wrapobj wrapobj.update(dico) # Check if new keys are already present in wrapdic for keyo in dico.keys(): if keyo not in self.wrapdic.keys(): print "ERROR: You can only update existing keys, not introduce new ones." return # Check if any key's value has been updated relative to wrapdic if self.wrapdic != wrapobj: self.wrapdic.update(dico) ##### THE INITS ##################### #other.inits.init1() other.vardic = deepcopy(self.wrapdic) other.updaters.vardic.wrapobj.update(self.wrapdic) other.inits.init1a() other.inits.init1b() other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __repr__(self): return self.wrapdic.__repr__() def __str__(self): return self.wrapdic.__str__() class dicwrap_deep: def __init__(self,other,wrapobj_str,initlev): self.other = other self.wrapobj_str = wrapobj_str self.initlev = initlev # Create the wrapobj using the passed string self.wrapobj = eval('other.'+wrapobj_str.split('.')[1]) if wrapobj_str == 'self.vardic': self.wrapdic = deepcopy(self.wrapobj) for keyo in self.wrapdic.keys(): self.wrapdic[keyo] = dicwrapk(other,self.wrapdic[keyo],initlev) for keyo2 in self.wrapdic[keyo].keys(): self.wrapdic[keyo][keyo2] = dicwrapk(other,self.wrapdic[keyo][keyo2],initlev) for i1,elem in enumerate(self.wrapdic[keyo][keyo2]): self.wrapdic[keyo][keyo2][i1] = listwrapk(other,self.wrapdic[keyo][keyo2][i1],self.wrapobj_str,self.wrapdic,initlev) def __getattr__(self,attrname): return getattr(self.wrapdic,attrname) def __setitem__(self,key,value): other = self.other initlev = self.initlev wrapobj = self.wrapobj wrapobj[key] = value # Test if the dictionary has changed relative to self.wrapdic if self.wrapdic[key] != wrapobj[key]: self.wrapdic[key] = value ##### THE INITS ##################### #other.inits.init1() # Need to copy manually as inner wrapped objects do not support deepcopy if wrapobj_str == 'self.vardic': var_keys = [] for keyo in other.vardic.keys(): var_keys.append(keyo) del other.vardic other.vardic = {} for keyo in var_keys: other.vardic[keyo]={} other.vardic[keyo]['var']=[] other.vardic[keyo]['mod']=[] for keyo1 in self.wrapdic.keys(): for keyo2 in self.wrapdic[keyo1].keys(): other.vardic[keyo1][keyo2] = [] for i1,elem1 in enumerate(self.wrapdic[keyo1][keyo2]): other.vardic[keyo1][keyo2].append([]) for i2,elem2 in enumerate(elem1): other.vardic[keyo1][keyo2][i1].append(elem2) other.inits.init1a() if wrapobj_str == 'self.nlsubsdic': # not a deep dic pass other.inits.init1b() if wrapobj_str == 'self.paramdic': # not a deep dic pass other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __update__(self,dico): other = self.other initlev = self.initlev wrapobj_str = self.wrapobj_str wrapobj = self.wrapobj wrapobj.update(dico) # Test if the dictionary has changed relative to self.wrapdic if self.wrapdic != wrapobj: self.wrapdic.update(dico) ##### THE INITS ##################### #other.inits.init1() # Need to copy manually as inner wrapped objects do not support deepcopy if wrapobj_str == 'self.vardic': var_keys = [] for keyo in other.vardic.keys(): var_keys.append(keyo) del other.vardic other.vardic = {} for keyo in var_keys: other.vardic[keyo]={} other.vardic[keyo]['var']=[] other.vardic[keyo]['mod']=[] for keyo1 in self.wrapdic.keys(): for keyo2 in self.wrapdic[keyo1].keys(): other.vardic[keyo1][keyo2] = [] for i1,elem1 in enumerate(self.wrapdic[keyo1][keyo2]): other.vardic[keyo1][keyo2].append([]) for i2,elem2 in enumerate(elem1): other.vardic[keyo1][keyo2][i1].append(elem2) other.inits.init1a() other.inits.init1b() other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() class listwrap: def __init__(self,other,wrapobj_str,initlev): self.other = other self.wrapobj_str = wrapobj_str wrapobj = eval('other.'+wrapobj_str.split('.')[1]) self.wrapobj = wrapobj self.initlev = initlev self.wrapli = deepcopy(wrapobj) def __getattr__(self,attrname): return getattr(self.wrapli,attrname) def __setslice__(self,ind1,ind2,into): other = self.other wrapobj_str = self.wrapobj_str wrapobj = eval('other.'+wrapobj_str.split('.')[1]) initlev = self.initlev do_rest = False lengo = len(self.wrapli) if ind2 >= lengo: print "ERROR: Assignment out of bounds of original list" return ##### THE INITS ##################### #other.inits.init1() #other.inits.init1a() #other.inits.init1b() #other.inits.init1c() if self.wrapli[ind1:ind2] != into: self.wrapli[ind1:ind2] = into wrapobj[ind1:ind2] = into do_rest = True if do_rest: # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __setitem__(self,ind,into): other = self.other wrapobj_str = self.wrapobj_str wrapobj = eval('other.'+wrapobj_str.split('.')[1]) initlev = self.initlev do_rest = False lengo = len(self.wrapli) if ind >= lengo: print "ERROR: Assignment out of bounds of original list" return ##### THE INITS ##################### #other.inits.init1() #other.inits.init1a() #other.inits.init1b() #other.inits.init1c() if self.wrapli[ind] != into: self.wrapli[ind] = into wrapobj[ind] = into do_rest = True if do_rest: # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() # Solve model dynamically other.inits.init4() other.inits.init5() if initlev == 2: other.inits.init_out() def __getitem__(self,ind): lengo = len(self.wrapli) if ind >= lengo: print "ERROR: Assignment out of bounds of original list" return else: return self.wrapli[ind] def __repr__(self): return self.wrapli.__repr__() def __str__(self): return self.wrapli.__str__() class matwrap: def __init__(self,other,wrapobj_str,initlev): self.other = other self.wrapobj_str = wrapobj_str self.initlev = initlev if wrapobj_str == 'self.sigma': self.wrapmat = other.sigma def __getattr__(self,attrname): return getattr(self.wrapmat,attrname) def __setitem__(self,ind,into): other = self.other wrapob_str = self.wrapobj_str initlev = self.initlev ##### THE INITS ##################### other.inits.init1() other.inits.init1a() other.inits.init1b() other.inits.init1c() # Prepare DSGE model instance for manual SS computation other.inits.init2() if initlev == 0: other.inits.init_out() # Solve for SS automatically other.inits.init3() if initlev == 1: other.inits.init_out() other.inits.init4() if self.wrapmat[ind[0],ind[1]] != into and wrapob_str == 'self.sigma': self.wrapmat[ind[0],ind[1]] = into other.sigma[ind[0],ind[1]] = into # Solve model dynamically other.inits.init5() if initlev == 2: other.inits.init_out()

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null

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1

0

8

5aec271929f4191aea48b636c5774da9e9d60dc0

90,772

py

Python

pollination_sdk/api/projects_api.py

pollination/python-sdk

599e8dbfc6e547c5e18aa903b27c70d7ffef84e5

[ "RSA-MD" ]

2

2020-01-30T23:28:59.000Z

2020-05-06T16:43:47.000Z

pollination_sdk/api/projects_api.py

pollination/python-sdk

599e8dbfc6e547c5e18aa903b27c70d7ffef84e5

[ "RSA-MD" ]

1

2020-10-02T18:00:25.000Z

pollination_sdk/api/projects_api.py

pollination/python-sdk

599e8dbfc6e547c5e18aa903b27c70d7ffef84e5

[ "RSA-MD" ]

null

# coding: utf-8 """ pollination-server Pollination Server OpenAPI Definition # noqa: E501 The version of the OpenAPI document: 0.16.0 Contact: info@pollination.cloud Generated by: https://openapi-generator.tech """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from pollination_sdk.api_client import ApiClient from pollination_sdk.exceptions import ( # noqa: F401 ApiTypeError, ApiValueError ) class ProjectsApi(object): """NOTE: This class is auto generated by OpenAPI Generator Ref: https://openapi-generator.tech Do not edit the class manually. """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def create_project(self, owner, project_create, **kwargs): # noqa: E501 """Create a Project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_project(owner, project_create, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param project_create: (required) :type project_create: ProjectCreate :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: CreatedContent """ kwargs['_return_http_data_only'] = True return self.create_project_with_http_info(owner, project_create, **kwargs) # noqa: E501 def create_project_with_http_info(self, owner, project_create, **kwargs): # noqa: E501 """Create a Project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_project_with_http_info(owner, project_create, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param project_create: (required) :type project_create: ProjectCreate :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(CreatedContent, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'project_create' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_project" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `create_project`") # noqa: E501 # verify the required parameter 'project_create' is set if self.api_client.client_side_validation and ('project_create' not in local_var_params or # noqa: E501 local_var_params['project_create'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `project_create` when calling `create_project`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_create' in local_var_params: body_params = local_var_params['project_create'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='CreatedContent', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def create_project_recipe_filter(self, owner, name, project_recipe_filter, **kwargs): # noqa: E501 """Upsert a recipe filter to a project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_project_recipe_filter(owner, name, project_recipe_filter, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_recipe_filter: (required) :type project_recipe_filter: ProjectRecipeFilter :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProjectRecipeFilter """ kwargs['_return_http_data_only'] = True return self.create_project_recipe_filter_with_http_info(owner, name, project_recipe_filter, **kwargs) # noqa: E501 def create_project_recipe_filter_with_http_info(self, owner, name, project_recipe_filter, **kwargs): # noqa: E501 """Upsert a recipe filter to a project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.create_project_recipe_filter_with_http_info(owner, name, project_recipe_filter, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_recipe_filter: (required) :type project_recipe_filter: ProjectRecipeFilter :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProjectRecipeFilter, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name', 'project_recipe_filter' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method create_project_recipe_filter" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `create_project_recipe_filter`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `create_project_recipe_filter`") # noqa: E501 # verify the required parameter 'project_recipe_filter' is set if self.api_client.client_side_validation and ('project_recipe_filter' not in local_var_params or # noqa: E501 local_var_params['project_recipe_filter'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `project_recipe_filter` when calling `create_project_recipe_filter`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_recipe_filter' in local_var_params: body_params = local_var_params['project_recipe_filter'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/recipes/filters', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectRecipeFilter', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def delete_project(self, owner, name, **kwargs): # noqa: E501 """Delete a Project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_project(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.delete_project_with_http_info(owner, name, **kwargs) # noqa: E501 def delete_project_with_http_info(self, owner, name, **kwargs): # noqa: E501 """Delete a Project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_project_with_http_info(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'owner', 'name' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_project" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `delete_project`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `delete_project`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def delete_project_org_permission(self, owner, name, project_policy_subject, **kwargs): # noqa: E501 """Remove a Project permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_project_org_permission(owner, name, project_policy_subject, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_policy_subject: (required) :type project_policy_subject: ProjectPolicySubject :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.delete_project_org_permission_with_http_info(owner, name, project_policy_subject, **kwargs) # noqa: E501 def delete_project_org_permission_with_http_info(self, owner, name, project_policy_subject, **kwargs): # noqa: E501 """Remove a Project permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_project_org_permission_with_http_info(owner, name, project_policy_subject, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_policy_subject: (required) :type project_policy_subject: ProjectPolicySubject :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'owner', 'name', 'project_policy_subject' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_project_org_permission" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `delete_project_org_permission`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `delete_project_org_permission`") # noqa: E501 # verify the required parameter 'project_policy_subject' is set if self.api_client.client_side_validation and ('project_policy_subject' not in local_var_params or # noqa: E501 local_var_params['project_policy_subject'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `project_policy_subject` when calling `delete_project_org_permission`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_policy_subject' in local_var_params: body_params = local_var_params['project_policy_subject'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/permissions', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def delete_project_recipe_filter(self, owner, name, project_recipe_filter, **kwargs): # noqa: E501 """Remove a Project recipe filter # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_project_recipe_filter(owner, name, project_recipe_filter, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_recipe_filter: (required) :type project_recipe_filter: ProjectRecipeFilter :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ kwargs['_return_http_data_only'] = True return self.delete_project_recipe_filter_with_http_info(owner, name, project_recipe_filter, **kwargs) # noqa: E501 def delete_project_recipe_filter_with_http_info(self, owner, name, project_recipe_filter, **kwargs): # noqa: E501 """Remove a Project recipe filter # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.delete_project_recipe_filter_with_http_info(owner, name, project_recipe_filter, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_recipe_filter: (required) :type project_recipe_filter: ProjectRecipeFilter :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: None """ local_var_params = locals() all_params = [ 'owner', 'name', 'project_recipe_filter' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method delete_project_recipe_filter" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `delete_project_recipe_filter`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `delete_project_recipe_filter`") # noqa: E501 # verify the required parameter 'project_recipe_filter' is set if self.api_client.client_side_validation and ('project_recipe_filter' not in local_var_params or # noqa: E501 local_var_params['project_recipe_filter'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `project_recipe_filter` when calling `delete_project_recipe_filter`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_recipe_filter' in local_var_params: body_params = local_var_params['project_recipe_filter'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/recipes/filters', 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def get_project(self, owner, name, **kwargs): # noqa: E501 """Get a project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: Project """ kwargs['_return_http_data_only'] = True return self.get_project_with_http_info(owner, name, **kwargs) # noqa: E501 def get_project_with_http_info(self, owner, name, **kwargs): # noqa: E501 """Get a project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_with_http_info(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(Project, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_project" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `get_project`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `get_project`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Project', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def get_project_access_permissions(self, owner, name, **kwargs): # noqa: E501 """Get project access permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_access_permissions(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param subject_type: The type of access policy subject :type subject_type: list[str] :param permission: An access policy permission string :type permission: list[str] :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProjectAccessPolicyList """ kwargs['_return_http_data_only'] = True return self.get_project_access_permissions_with_http_info(owner, name, **kwargs) # noqa: E501 def get_project_access_permissions_with_http_info(self, owner, name, **kwargs): # noqa: E501 """Get project access permissions # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_access_permissions_with_http_info(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param subject_type: The type of access policy subject :type subject_type: list[str] :param permission: An access policy permission string :type permission: list[str] :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProjectAccessPolicyList, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name', 'page', 'per_page', 'subject_type', 'permission' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_project_access_permissions" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `get_project_access_permissions`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `get_project_access_permissions`") # noqa: E501 if self.api_client.client_side_validation and 'page' in local_var_params and local_var_params['page'] < 1: # noqa: E501 raise ApiValueError("Invalid value for parameter `page` when calling `get_project_access_permissions`, must be a value greater than or equal to `1`") # noqa: E501 if self.api_client.client_side_validation and 'per_page' in local_var_params and local_var_params['per_page'] > 100: # noqa: E501 raise ApiValueError("Invalid value for parameter `per_page` when calling `get_project_access_permissions`, must be a value less than or equal to `100`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'per_page' in local_var_params and local_var_params['per_page'] is not None: # noqa: E501 query_params.append(('per-page', local_var_params['per_page'])) # noqa: E501 if 'subject_type' in local_var_params and local_var_params['subject_type'] is not None: # noqa: E501 query_params.append(('subject_type', local_var_params['subject_type'])) # noqa: E501 collection_formats['subject_type'] = 'multi' # noqa: E501 if 'permission' in local_var_params and local_var_params['permission'] is not None: # noqa: E501 query_params.append(('permission', local_var_params['permission'])) # noqa: E501 collection_formats['permission'] = 'multi' # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/permissions', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectAccessPolicyList', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def get_project_recipe_filters(self, owner, name, **kwargs): # noqa: E501 """Get project recipe filters # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_recipe_filters(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProjectRecipeFilterList """ kwargs['_return_http_data_only'] = True return self.get_project_recipe_filters_with_http_info(owner, name, **kwargs) # noqa: E501 def get_project_recipe_filters_with_http_info(self, owner, name, **kwargs): # noqa: E501 """Get project recipe filters # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_recipe_filters_with_http_info(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProjectRecipeFilterList, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name', 'page', 'per_page' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_project_recipe_filters" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `get_project_recipe_filters`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `get_project_recipe_filters`") # noqa: E501 if self.api_client.client_side_validation and 'page' in local_var_params and local_var_params['page'] < 1: # noqa: E501 raise ApiValueError("Invalid value for parameter `page` when calling `get_project_recipe_filters`, must be a value greater than or equal to `1`") # noqa: E501 if self.api_client.client_side_validation and 'per_page' in local_var_params and local_var_params['per_page'] > 100: # noqa: E501 raise ApiValueError("Invalid value for parameter `per_page` when calling `get_project_recipe_filters`, must be a value less than or equal to `100`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'per_page' in local_var_params and local_var_params['per_page'] is not None: # noqa: E501 query_params.append(('per-page', local_var_params['per_page'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/recipes/filters', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectRecipeFilterList', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def get_project_recipes(self, owner, name, **kwargs): # noqa: E501 """Get project recipes # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_recipes(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param search: Search string to find recipes :type search: str :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: RecipeInterfaceList """ kwargs['_return_http_data_only'] = True return self.get_project_recipes_with_http_info(owner, name, **kwargs) # noqa: E501 def get_project_recipes_with_http_info(self, owner, name, **kwargs): # noqa: E501 """Get project recipes # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_project_recipes_with_http_info(owner, name, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param search: Search string to find recipes :type search: str :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(RecipeInterfaceList, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name', 'search', 'page', 'per_page' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method get_project_recipes" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `get_project_recipes`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `get_project_recipes`") # noqa: E501 if self.api_client.client_side_validation and 'page' in local_var_params and local_var_params['page'] < 1: # noqa: E501 raise ApiValueError("Invalid value for parameter `page` when calling `get_project_recipes`, must be a value greater than or equal to `1`") # noqa: E501 if self.api_client.client_side_validation and 'per_page' in local_var_params and local_var_params['per_page'] > 100: # noqa: E501 raise ApiValueError("Invalid value for parameter `per_page` when calling `get_project_recipes`, must be a value less than or equal to `100`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] if 'search' in local_var_params and local_var_params['search'] is not None: # noqa: E501 query_params.append(('search', local_var_params['search'])) # noqa: E501 if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'per_page' in local_var_params and local_var_params['per_page'] is not None: # noqa: E501 query_params.append(('per-page', local_var_params['per_page'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/recipes', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='RecipeInterfaceList', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def list_projects(self, **kwargs): # noqa: E501 """List Projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_projects(async_req=True) >>> result = thread.get() :param search: Search string to find projects :type search: str :param ids: The ID of a project to search for :type ids: list[str] :param names: The name of the project :type names: list[str] :param owner: Owner of the project :type owner: list[str] :param public: Boolean check for public/private projects :type public: bool :param permissions: Filter by permission on given resource :type permissions: list[str] :param sort_by: Key to sort the list by :type sort_by: ProjectSortKey :param sort_order: The order to sort the list :type sort_order: SortEnum :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: ProjectList """ kwargs['_return_http_data_only'] = True return self.list_projects_with_http_info(**kwargs) # noqa: E501 def list_projects_with_http_info(self, **kwargs): # noqa: E501 """List Projects # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.list_projects_with_http_info(async_req=True) >>> result = thread.get() :param search: Search string to find projects :type search: str :param ids: The ID of a project to search for :type ids: list[str] :param names: The name of the project :type names: list[str] :param owner: Owner of the project :type owner: list[str] :param public: Boolean check for public/private projects :type public: bool :param permissions: Filter by permission on given resource :type permissions: list[str] :param sort_by: Key to sort the list by :type sort_by: ProjectSortKey :param sort_order: The order to sort the list :type sort_order: SortEnum :param page: Page number starting from 1 :type page: int :param per_page: Number of items per page :type per_page: int :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(ProjectList, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'search', 'ids', 'names', 'owner', 'public', 'permissions', 'sort_by', 'sort_order', 'page', 'per_page' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method list_projects" % key ) local_var_params[key] = val del local_var_params['kwargs'] if self.api_client.client_side_validation and 'page' in local_var_params and local_var_params['page'] < 1: # noqa: E501 raise ApiValueError("Invalid value for parameter `page` when calling `list_projects`, must be a value greater than or equal to `1`") # noqa: E501 if self.api_client.client_side_validation and 'per_page' in local_var_params and local_var_params['per_page'] > 100: # noqa: E501 raise ApiValueError("Invalid value for parameter `per_page` when calling `list_projects`, must be a value less than or equal to `100`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'search' in local_var_params and local_var_params['search'] is not None: # noqa: E501 query_params.append(('search', local_var_params['search'])) # noqa: E501 if 'ids' in local_var_params and local_var_params['ids'] is not None: # noqa: E501 query_params.append(('ids', local_var_params['ids'])) # noqa: E501 collection_formats['ids'] = 'multi' # noqa: E501 if 'names' in local_var_params and local_var_params['names'] is not None: # noqa: E501 query_params.append(('names', local_var_params['names'])) # noqa: E501 collection_formats['names'] = 'multi' # noqa: E501 if 'owner' in local_var_params and local_var_params['owner'] is not None: # noqa: E501 query_params.append(('owner', local_var_params['owner'])) # noqa: E501 collection_formats['owner'] = 'multi' # noqa: E501 if 'public' in local_var_params and local_var_params['public'] is not None: # noqa: E501 query_params.append(('public', local_var_params['public'])) # noqa: E501 if 'permissions' in local_var_params and local_var_params['permissions'] is not None: # noqa: E501 query_params.append(('permissions', local_var_params['permissions'])) # noqa: E501 collection_formats['permissions'] = 'multi' # noqa: E501 if 'sort_by' in local_var_params and local_var_params['sort_by'] is not None: # noqa: E501 query_params.append(('sort_by', local_var_params['sort_by'])) # noqa: E501 if 'sort_order' in local_var_params and local_var_params['sort_order'] is not None: # noqa: E501 query_params.append(('sort_order', local_var_params['sort_order'])) # noqa: E501 if 'page' in local_var_params and local_var_params['page'] is not None: # noqa: E501 query_params.append(('page', local_var_params['page'])) # noqa: E501 if 'per_page' in local_var_params and local_var_params['per_page'] is not None: # noqa: E501 query_params.append(('per-page', local_var_params['per_page'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='ProjectList', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def update(self, owner, name, project_update, **kwargs): # noqa: E501 """Update a Project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update(owner, name, project_update, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_update: (required) :type project_update: ProjectUpdate :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: UpdateAccepted """ kwargs['_return_http_data_only'] = True return self.update_with_http_info(owner, name, project_update, **kwargs) # noqa: E501 def update_with_http_info(self, owner, name, project_update, **kwargs): # noqa: E501 """Update a Project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_with_http_info(owner, name, project_update, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_update: (required) :type project_update: ProjectUpdate :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(UpdateAccepted, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name', 'project_update' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method update" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `update`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `update`") # noqa: E501 # verify the required parameter 'project_update' is set if self.api_client.client_side_validation and ('project_update' not in local_var_params or # noqa: E501 local_var_params['project_update'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `project_update` when calling `update`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_update' in local_var_params: body_params = local_var_params['project_update'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UpdateAccepted', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth')) def upsert_project_permission(self, owner, name, project_access_policy, **kwargs): # noqa: E501 """Upsert a new permission to a project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.upsert_project_permission(owner, name, project_access_policy, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_access_policy: (required) :type project_access_policy: ProjectAccessPolicy :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: UpdateAccepted """ kwargs['_return_http_data_only'] = True return self.upsert_project_permission_with_http_info(owner, name, project_access_policy, **kwargs) # noqa: E501 def upsert_project_permission_with_http_info(self, owner, name, project_access_policy, **kwargs): # noqa: E501 """Upsert a new permission to a project # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.upsert_project_permission_with_http_info(owner, name, project_access_policy, async_req=True) >>> result = thread.get() :param owner: (required) :type owner: str :param name: (required) :type name: str :param project_access_policy: (required) :type project_access_policy: ProjectAccessPolicy :param async_req: Whether to execute the request asynchronously. :type async_req: bool, optional :param _return_http_data_only: response data without head status code and headers :type _return_http_data_only: bool, optional :param _preload_content: if False, the urllib3.HTTPResponse object will be returned without reading/decoding response data. Default is True. :type _preload_content: bool, optional :param _request_timeout: timeout setting for this request. If one number provided, it will be total request timeout. It can also be a pair (tuple) of (connection, read) timeouts. :param _request_auth: set to override the auth_settings for an a single request; this effectively ignores the authentication in the spec for a single request. :type _request_auth: dict, optional :return: Returns the result object. If the method is called asynchronously, returns the request thread. :rtype: tuple(UpdateAccepted, status_code(int), headers(HTTPHeaderDict)) """ local_var_params = locals() all_params = [ 'owner', 'name', 'project_access_policy' ] all_params.extend( [ 'async_req', '_return_http_data_only', '_preload_content', '_request_timeout', '_request_auth' ] ) for key, val in six.iteritems(local_var_params['kwargs']): if key not in all_params: raise ApiTypeError( "Got an unexpected keyword argument '%s'" " to method upsert_project_permission" % key ) local_var_params[key] = val del local_var_params['kwargs'] # verify the required parameter 'owner' is set if self.api_client.client_side_validation and ('owner' not in local_var_params or # noqa: E501 local_var_params['owner'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `owner` when calling `upsert_project_permission`") # noqa: E501 # verify the required parameter 'name' is set if self.api_client.client_side_validation and ('name' not in local_var_params or # noqa: E501 local_var_params['name'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `name` when calling `upsert_project_permission`") # noqa: E501 # verify the required parameter 'project_access_policy' is set if self.api_client.client_side_validation and ('project_access_policy' not in local_var_params or # noqa: E501 local_var_params['project_access_policy'] is None): # noqa: E501 raise ApiValueError("Missing the required parameter `project_access_policy` when calling `upsert_project_permission`") # noqa: E501 collection_formats = {} path_params = {} if 'owner' in local_var_params: path_params['owner'] = local_var_params['owner'] # noqa: E501 if 'name' in local_var_params: path_params['name'] = local_var_params['name'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'project_access_policy' in local_var_params: body_params = local_var_params['project_access_policy'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['APIKeyAuth', 'JWTAuth'] # noqa: E501 return self.api_client.call_api( '/projects/{owner}/{name}/permissions', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='UpdateAccepted', # noqa: E501 auth_settings=auth_settings, async_req=local_var_params.get('async_req'), _return_http_data_only=local_var_params.get('_return_http_data_only'), # noqa: E501 _preload_content=local_var_params.get('_preload_content', True), _request_timeout=local_var_params.get('_request_timeout'), collection_formats=collection_formats, _request_auth=local_var_params.get('_request_auth'))

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517af4acaa339f8a3425c209bd73f5bb0cade8b6

137

py

Python

frappe_notification/frappe_notification/doctype/notification_channel/__init__.py

leam-tech/frappe_notification

79e40f2c541d86d714a0b8d48b87f32b2f85076a

[ "MIT" ]

null

frappe_notification/frappe_notification/doctype/notification_channel/__init__.py

leam-tech/frappe_notification

79e40f2c541d86d714a0b8d48b87f32b2f85076a

[ "MIT" ]

null

frappe_notification/frappe_notification/doctype/notification_channel/__init__.py

leam-tech/frappe_notification

79e40f2c541d86d714a0b8d48b87f32b2f85076a

[ "MIT" ]

null

from .notification_channel import NotificationChannel # noqa from .test_notification_channel import NotificationChannelFixtures # noqa

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51a4c097fc35a9461dde453b85aa78f2ed83c7c2

8,100

py

Python

fonts/font7ctrl.py

robert-hh/SSD1963-TFT-Library-for-PyBoard

db9786cdd95f9dab5334a9de28bed4e26436815c

[ "MIT" ]

16

2016-02-23T12:20:36.000Z

2021-02-02T06:41:49.000Z

fonts/font7ctrl.py

robert-hh/SSD1963-TFT-Library-for-PyBoard-and-RP2040

db9786cdd95f9dab5334a9de28bed4e26436815c

[ "MIT" ]

2

2016-11-26T07:46:58.000Z

2017-12-10T08:44:38.000Z

fonts/font7ctrl.py

robert-hh/SSD1963-TFT-Library-for-PyBoard

db9786cdd95f9dab5334a9de28bed4e26436815c

[ "MIT" ]

9

2016-06-04T08:22:55.000Z

2020-04-19T14:40:36.000Z

# Code generated by cfonts_to_trans_py.py import TFTfont _font7ctrl = b'\xe0\xa0\xa0\x80\x28\x28\x28\x38\x04\x04\x04\x07'\ b'\x60\x80\x40\x28\xd4\x14\x14\x09\x05\x07\x05\x05'\ b'\x60\x80\x40\x20\xdc\x08\x08\x08\x05\x02\x02\x05'\ b'\xe0\x80\xe0\x9c\xe8\x08\x08\x05\x02\x02\x05\x00'\ b'\xe0\x80\xe0\x88\xf4\x14\x08\x07\x02\x02\x02\x00'\ b'\xe0\x80\xe0\x9c\xf4\x14\x14\x0e\x0a\x0e\x02\x03'\ b'\xe0\xa0\xe0\xac\x10\x10\x0c\x00\x0a\x0c\x0a\x0a'\ b'\xc0\xa0\xc0\xa0\xd8\x20\x38\x20\x3c\x04\x04\x07'\ b'\x00\xe0\x50\x52\x65\x54\x52\xe1\x05\x02\x00\x00'\ b'\x00\x50\x50\x57\x72\x52\x52\x52\x02\x02\x00\x00'\ b'\x00\x40\x40\x47\x44\x44\x47\x74\x04\x04\x00\x00'\ b'\x00\x50\x50\x57\x52\x52\x52\x22\x22\x02\x00\x00'\ b'\x00\x78\x40\x47\x74\x44\x46\x44\x04\x04\x00\x00'\ b'\x00\x20\x50\x46\x45\x45\x46\x55\x25\x05\x00\x00'\ b'\x00\x20\x50\x42\x65\x35\x15\x55\x25\x02\x00\x00'\ b'\x00\x20\x50\x47\x62\x32\x12\x52\x22\x07\x00\x00'\ b'\xc0\xa8\xa8\xa8\xc8\x0e\x00\x07\x04\x07\x04\x07'\ 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b'\x00\x6c\x6c\xfe\x6c\x6c\x6c\xfe\x6c\x6c\x00\x00'\ b'\x30\x30\x7c\xc0\xc0\x78\x0c\x0c\xf8\x30\x30\x00'\ b'\x00\x00\x00\xc4\xcc\x18\x30\x60\xcc\x8c\x00\x00'\ b'\x00\x70\xd8\xd8\x70\xfa\xde\xcc\xdc\x76\x00\x00'\ b'\x00\x30\x30\x30\x60\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x0c\x18\x30\x60\x60\x60\x30\x18\x0c\x00\x00'\ b'\x00\x60\x30\x18\x0c\x0c\x0c\x18\x30\x60\x00\x00'\ b'\x00\x00\x00\x66\x3c\xff\x3c\x66\x00\x00\x00\x00'\ b'\x00\x00\x00\x18\x18\x7e\x18\x18\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x38\x38\x60\x00'\ b'\x00\x00\x00\x00\x00\xfe\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x00\x00\x00\x00\x00\x38\x38\x00\x00'\ b'\x00\x00\x02\x06\x0c\x18\x30\x60\xc0\x80\x00\x00'\ b'\x00\x7c\xc6\xce\xde\xd6\xf6\xe6\xc6\x7c\x00\x00'\ b'\x00\x10\x30\xf0\x30\x30\x30\x30\x30\xfc\x00\x00'\ b'\x00\x78\xcc\xcc\x0c\x18\x30\x60\xcc\xfc\x00\x00'\ b'\x00\x78\xcc\x0c\x0c\x38\x0c\x0c\xcc\x78\x00\x00'\ b'\x00\x0c\x1c\x3c\x6c\xcc\xfe\x0c\x0c\x1e\x00\x00'\ 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b'\x00\xe0\x60\x60\x66\x6c\x78\x6c\x66\xe6\x00\x00'\ b'\x00\x78\x18\x18\x18\x18\x18\x18\x18\x7e\x00\x00'\ b'\x00\x00\x00\x00\xfc\xd6\xd6\xd6\xd6\xc6\x00\x00'\ b'\x00\x00\x00\x00\xf8\xcc\xcc\xcc\xcc\xcc\x00\x00'\ b'\x00\x00\x00\x00\x78\xcc\xcc\xcc\xcc\x78\x00\x00'\ b'\x00\x00\x00\x00\xdc\x66\x66\x66\x66\x7c\x60\xf0'\ b'\x00\x00\x00\x00\x76\xcc\xcc\xcc\xcc\x7c\x0c\x1e'\ b'\x00\x00\x00\x00\xec\x6e\x76\x60\x60\xf0\x00\x00'\ b'\x00\x00\x00\x00\x78\xcc\x60\x18\xcc\x78\x00\x00'\ b'\x00\x00\x20\x60\xfc\x60\x60\x60\x6c\x38\x00\x00'\ b'\x00\x00\x00\x00\xcc\xcc\xcc\xcc\xcc\x76\x00\x00'\ b'\x00\x00\x00\x00\xcc\xcc\xcc\xcc\x78\x30\x00\x00'\ b'\x00\x00\x00\x00\xc6\xc6\xd6\xd6\x6c\x6c\x00\x00'\ b'\x00\x00\x00\x00\xc6\x6c\x38\x38\x6c\xc6\x00\x00'\ b'\x00\x00\x00\x00\x66\x66\x66\x66\x3c\x0c\x18\xf0'\ b'\x00\x00\x00\x00\xfc\x8c\x18\x60\xc4\xfc\x00\x00'\ b'\x00\x1c\x30\x30\x60\xc0\x60\x30\x30\x1c\x00\x00'\ b'\x00\x18\x18\x18\x18\x00\x18\x18\x18\x18\x00\x00'\ b'\x00\xe0\x30\x30\x18\x0c\x18\x30\x30\xe0\x00\x00'\ b'\x00\x73\xda\xce\x00\x00\x00\x00\x00\x00\x00\x00'\ b'\x00\x00\x00\x10\x38\x6c\xc6\xc6\xfe\x00\x00\x00'\ _font7ctrl_index = b'\x00\x00\x0c\x00\x18\x00\x24\x00\x30\x00\x3c\x00\x48\x00\x54\x00'\ b'\x60\x00\x6c\x00\x78\x00\x84\x00\x90\x00\x9c\x00\xa8\x00\xb4\x00'\ b'\xc0\x00\xcc\x00\xd8\x00\xe4\x00\xf0\x00\xfc\x00\x08\x01\x14\x01'\ b'\x20\x01\x2c\x01\x38\x01\x44\x01\x50\x01\x5c\x01\x68\x01\x74\x01'\ b'\x80\x01\x8c\x01\x98\x01\xa4\x01\xb0\x01\xbc\x01\xc8\x01\xd4\x01'\ b'\xe0\x01\xec\x01\xf8\x01\x04\x02\x10\x02\x1c\x02\x28\x02\x34\x02'\ b'\x40\x02\x4c\x02\x58\x02\x64\x02\x70\x02\x7c\x02\x88\x02\x94\x02'\ b'\xa0\x02\xac\x02\xb8\x02\xc4\x02\xd0\x02\xdc\x02\xe8\x02\xf4\x02'\ b'\x00\x03\x0c\x03\x18\x03\x24\x03\x30\x03\x3c\x03\x48\x03\x54\x03'\ b'\x60\x03\x6c\x03\x78\x03\x84\x03\x90\x03\x9c\x03\xa8\x03\xb4\x03'\ b'\xc0\x03\xcc\x03\xd8\x03\xe4\x03\xf0\x03\xfc\x03\x08\x04\x14\x04'\ b'\x20\x04\x2c\x04\x38\x04\x44\x04\x50\x04\x5c\x04\x68\x04\x74\x04'\ b'\x80\x04\x8c\x04\x98\x04\xa4\x04\xb0\x04\xbc\x04\xc8\x04\xd4\x04'\ b'\xe0\x04\xec\x04\xf8\x04\x04\x05\x10\x05\x1c\x05\x28\x05\x34\x05'\ b'\x40\x05\x4c\x05\x58\x05\x64\x05\x70\x05\x7c\x05\x88\x05\x94\x05'\ b'\xa0\x05\xac\x05\xb8\x05\xc4\x05\xd0\x05\xdc\x05\xe8\x05\xf4\x05'\ b'\x00\x06' font7ctrl = TFTfont.TFTFont(_font7ctrl, _font7ctrl_index, 12, 8, 128, 0) fonts = {"font7ctrl":font7ctrl, }

52.258065

87

0.701235

1,965

8,100

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0.201552

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0.563393

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0.387762

0.29113

0.202962

0.119379

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0.357719

0.021235

8,100

154

88

52.597403

0.357593

0.004815

0

0.013423

1

0.966443

0.89166

0.889551

0

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0

false

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0.006711

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0.006711

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null

1

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1

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null

1

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10

cf91318828133b5e71f0f7a7e855c38cc0f53e58

18,236

py

Python

qa327_test/Frontend/test_R4.py

lucidorangee/CISC-327-Course-Project

b86fe58e809f10a90134cbe33202c9e68a46d13b

[ "MIT" ]

null

qa327_test/Frontend/test_R4.py

lucidorangee/CISC-327-Course-Project

b86fe58e809f10a90134cbe33202c9e68a46d13b

[ "MIT" ]

null

qa327_test/Frontend/test_R4.py

lucidorangee/CISC-327-Course-Project

b86fe58e809f10a90134cbe33202c9e68a46d13b

[ "MIT" ]

null

import pytest from seleniumbase import BaseCase from qa327_test.conftest import base_url from unittest.mock import patch from qa327.models import db, User, TicketInfo from werkzeug.security import generate_password_hash, check_password_hash """ This file defines unit tests for the frontend homepage. The tests will only test the frontend portion of the program, by patching the backend to return specfic values. For example: @patch('qa327.backend.get_user', return_value=test_user) Will patch the backend get_user function (within the scope of the current test case) so that it return 'test_user' instance below rather than reading the user from the database. Annotate @patch before unit tests can mock backend methods (for that testing function) """ # Mock a smple user (login) test_user_login = User( email='login@gmail.com', name='LetsTestL', password=generate_password_hash('Tester327!'), balance=10000 ) # Moch some sample tickets test_tickets = TicketInfo( email='login@gmail.com', name='t1', quantity=1, price=100, date='20210408' ) class TestR4(BaseCase): # Test Case R4.0.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_positive_sell(self, *_): """ Checking for positive case for the fields of ticket's selling form with lower boundaries """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "Hello World 123") self.type("#quantity_sell", "1") self.type("#price_sell", "10") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert no error text appears self.assert_text_not_visible("Ticket name must be alphanumeric-only", "#message") #TODO these asserts have to be updated self.assert_text_not_visible("Ticket name cannot begin with a space", "#message") self.assert_text_not_visible("Ticket name cannot end with a space", "#message") self.assert_text_not_visible("Ticket name cannot be longer than 60 characters", "#message") self.assert_text_not_visible("At least 1 ticket must be sold", "#message") self.assert_text_not_visible("At most 100 tickets can be sold", "#message") self.assert_text_not_visible("Price of the ticket cannot be below 10", "#message") self.assert_text_not_visible("Price of the ticket cannot be above 100", "#message") self.assert_text_not_visible("Expiration date is in invalid format", "#message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.0.2 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_positive_sell_high(self, *_): """ Checking for positive case for the fields of ticket's selling form with higher boundaries """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "Hello World 123") self.type("#quantity_sell", "100") self.type("#price_sell", "100") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # asser no error text appears self.assert_text_not_visible("Ticket name must be alphanumeric-only", "#message") self.assert_text_not_visible("Ticket name cannot begin with a space", "#message") self.assert_text_not_visible("Ticket name cannot end with a space", "#message") self.assert_text_not_visible("Ticket name cannot be longer than 60 characters", "#message") self.assert_text_not_visible("At least 1 ticket must be sold", "#message") self.assert_text_not_visible("At most 100 tickets can be sold", "#message") self.assert_text_not_visible("Price of the ticket cannot be below 10", "#message") self.assert_text_not_visible("Price of the ticket cannot be above 100", "#message") self.assert_text_not_visible("Expiration date is in invalid format", "#message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.1.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_alphanumeric_only(self, *_): """ Check if name of the ticket is alphanumeric-only """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "Ht1&t2@!*\")(/.,<>[]-+") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("The name of the ticket has to be alphanumeric-only, and space allowed only if it is not the " "first or the last character.", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.1.2 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_spaces_only(self, *_): """ Check space is not allowed as first character """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", " t1") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("The name of the ticket has to be alphanumeric-only, and space allowed only if it is not the " "first or the last character.", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.1.3 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_spaces_only2(self, *_): """ Check space is not allowed as last character """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1 ") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("The name of the ticket has to be alphanumeric-only, and space allowed only if it is not the " "first or the last character.", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.2.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_name_length(self, *_): """ The name of the ticket is no longer than 60 characters """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "abcdefghijklmnopqrstuvwxyzabcdefghijklmnopqrstuvwxyzabcdefghi") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("Ticket name cannot be longer than 60 characters", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.3.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_quantity_bound(self, *_): """ The quantity of the tickets has to be more than 0 """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "0") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("The quantity of the tickets has to be more than 0, and less than or equal to 100.", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.3.2 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_quantity_bound2(self, *_): """ The quantity of the tickets has to be less than or equal to 100 """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "101") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("The quantity of the tickets has to be more than 0, and less than or equal to 100.", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.4.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_price_bound(self, *_): """ Price cannot be lower than 10 """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "1") self.type("#price_sell", "9") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("Price has to be of range [10, 100]", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.4.2 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_price_bound2(self, *_): """ Price cannot be higher than 100 """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "1") self.type("#price_sell", "101") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("Price has to be of range [10, 100]", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.5.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_date_format(self, *_): """ Date must be given in the format YYYYMMDD (e.g. 20200901) """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "Sept. 9 2021") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("Date must be given in the format YYYYMMDD (e.g. 20200901)", "#sell_message") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.6.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_redirect_sell(self, *_): """ For any errors, redirect back to / and show an error message """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "Sept. 9 2021") # click sell button self.click('input[value="Sell"]') # assert proper header self.assert_element("#welcome-header") # open logout (for cleanup) self.open(base_url + '/logout') # Test Case R4.7.1 @pytest.mark.timeout(60) @patch('qa327.backend.get_user', return_value=test_user_login) def test_posted(self, *_): """ The added new ticket information will be posted on the user profile page """ # open logout page to invalid any logged-in sessions that may exist, then open login page self.open(base_url + '/logout') self.open(base_url + '/') # test that redirection to /login has occurred # fill email and password self.type("#email", test_user_login.email) self.type("#password", "Tester327!") # click enter button self.click('input[type="submit"]') # enter Sell ticket form with low values self.type("#name_sell", "t1") self.type("#quantity_sell", "1") self.type("#price_sell", "15") self.type("#expdate_sell", "20210901") # click sell button self.click('input[value="Sell"]') # assert proper error message self.assert_text("t1", "#tickets") # open logout (for cleanup) self.open(base_url + '/logout')

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8

cf97008a2d6531fa5fcc14f6b302e19390014e18

4,093

py

Python

tests/records/test_records_views.py

lnielsen/invenio-communities

e6e032960abd5d4062a63824d6d349a6158339af

[ "MIT" ]

null

tests/records/test_records_views.py

lnielsen/invenio-communities

e6e032960abd5d4062a63824d6d349a6158339af

[ "MIT" ]

null

tests/records/test_records_views.py

lnielsen/invenio-communities

e6e032960abd5d4062a63824d6d349a6158339af

[ "MIT" ]

null

# -*- coding: utf-8 -*- # # This file is part of Invenio. # Copyright (C) 2016-2021 CERN. # # Invenio is free software; you can redistribute it and/or modify it # under the terms of the MIT License; see LICENSE file for more details. """Community module tests.""" import pytest from flask import url_for from invenio_accounts.testutils import login_user_via_session @pytest.mark.skip() def test_simple_flow( db, es_clear, community, record, client, record_owner, community_owner): """Test basics operations on records.""" comid, community = community recid, record = record login_user_via_session(client, user=record_owner) community_records_list_url = url_for( 'invenio_communities_records.community_records_list', pid_value=comid.pid_value) resp = client.post(community_records_list_url, json={ 'record_pid': recid.pid_value }) assert resp.status_code == 201 community_record_links = resp.json['links'] community_record_id = resp.json['id'] login_user_via_session(client, user=community_owner) resp = client.post( community_record_links['comment'], json={'message': 'Hello there'}) assert resp.status_code == 201 login_user_via_session(client, user=record_owner) resp = client.post( community_record_links['comment'], json={'message': 'Oh hi mark'}) assert resp.status_code == 201 login_user_via_session(client, user=community_owner) resp = client.get(community_record_links['self']) assert resp.status_code == 200 resp = client.post(community_record_links['accept']) assert resp.status_code == 201 login_user_via_session(client, user=record_owner) community_record_item_url = url_for( 'invenio_communities_records.community_records_item', pid_value=comid.pid_value, community_record_id=community_record_id) resp = client.delete(community_record_item_url) assert resp.status_code == 204 @pytest.mark.skip() def test_alternate_flow( db, es_clear, community, record, client, record_owner, community_owner): """Test basics operations on records.""" comid, community = community recid, record = record login_user_via_session(client, user=community_owner) community_records_list_url = url_for( 'invenio_communities_records.community_records_list', pid_value=comid.pid_value) resp = client.post(community_records_list_url, json={ 'record_pid': recid.pid_value }) assert resp.status_code == 201 community_record_links = resp.json['links'] community_record_id = resp.json['id'] login_user_via_session(client, user=record_owner) resp = client.post( community_record_links['comment'], json={'message': 'Hello there'}) assert resp.status_code == 201 login_user_via_session(client, user=community_owner) resp = client.post( community_record_links['comment'], json={'message': 'Oh hi mark'}) assert resp.status_code == 201 login_user_via_session(client, user=record_owner) resp = client.get(community_record_links['self']) assert resp.status_code == 200 resp = client.post(community_record_links['accept']) assert resp.status_code == 201 login_user_via_session(client, user=community_owner) community_record_item_url = url_for( 'invenio_communities_records.community_records_item', pid_value=comid.pid_value, community_record_id=community_record_id) resp = client.delete(community_record_item_url) assert resp.status_code == 204 @pytest.mark.skip() def test_records_permissions(db, es_clear, community, record, client, users): """Test permissions on records.""" # TODO pass @pytest.mark.skip() def test_records_validation(db, es_clear, community, record, client, users): """Test records validation.""" # TODO pass @pytest.mark.skip() def test_records_search(db, es_clear, community, record, client, users): """Test records search.""" # TODO pass

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cfd1a080158b630f85b4f1faa5c69725fd7d334f

144

py

Python

rasa_core/cli/__init__.py

MalwareC500/rasa_core

d51dac663f7f4ce85bc61b269180cedad9610269

[ "Apache-2.0" ]

null

rasa_core/cli/__init__.py

MalwareC500/rasa_core

d51dac663f7f4ce85bc61b269180cedad9610269

[ "Apache-2.0" ]

5

2019-12-16T21:49:06.000Z

2022-02-10T00:37:32.000Z

rasa_core/cli/__init__.py

MalwareC500/rasa_core

d51dac663f7f4ce85bc61b269180cedad9610269

[ "Apache-2.0" ]

1

2021-12-09T14:35:02.000Z

import rasa_core.cli.arguments import rasa_core.cli.test import rasa_core.cli.run import rasa_core.cli.train import rasa_core.cli.visualization

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1

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8

cfd482a0eedc63392d987ad2b884f7519d698bbf

9,423

py

Python

src/heap_tests.py

hashamtanveer/Data-Structures---Algorithms

80a82b3f0cf2e1cf4c06e6c8d4652046672c6920

[ "MIT" ]

null

src/heap_tests.py

hashamtanveer/Data-Structures---Algorithms

80a82b3f0cf2e1cf4c06e6c8d4652046672c6920

[ "MIT" ]

null

src/heap_tests.py

hashamtanveer/Data-Structures---Algorithms

80a82b3f0cf2e1cf4c06e6c8d4652046672c6920

[ "MIT" ]

null

from heap import * length = 8 values = [18, 6, 7, -3, 44, 10, 6] heap = MinHeap(length) num_tests_passed = 0 num_tests_failed = 0 num_tests = 0 print("====================================") print("PART 1") print("Initializing with values", values) print("====================================") print("====================================") print("Test Case 1") print("Correct Initialization") print("====================================") num_tests += 1 if heap.get_heap_array() == [None, None, None, None, None, None, None, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 2") print("Correct Insertion") print("====================================") num_tests += 1 for value in values: heap.insert(value) if heap.get_heap_array() == [-3, 6, 6, 18, 44, 10, 7, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 3") print("Correct Extraction") print("====================================") num_tests += 1 if heap.extract_min() == -3: if heap.get_heap_array() == [6, 7, 6, 18, 44, 10, None, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED: Incorrect array output") num_tests_failed += 1 else: print("TEST FAILED: Incorrect value output") num_tests_failed += 1 print() length = 8 values = [3, 3, 8, 6, 4, 2, 8, 1] print("====================================") print("PART 2") print("Initializing with values", values) print("====================================") heap = MinHeap(length) print("====================================") print("Test Case 4") print("Correct Initialization") print("====================================") num_tests += 1 if heap.get_heap_array() == [None, None, None, None, None, None, None, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 5") print("Correct Insertion") print("====================================") num_tests += 1 for value in values: heap.insert(value) if heap.get_heap_array() == [1, 2, 3, 3, 4, 8, 8, 6]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 6") print("Correct Extraction") print("====================================") num_tests += 1 if heap.extract_min() == 1: if heap.get_heap_array() == [2, 3, 3, 6, 4, 8, 8, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED: Incorrect array output") num_tests_failed += 1 else: print("TEST FAILED: Incorrect value output") num_tests_failed += 1 print() length = 8 values = [None, None, None, None, None, None, None, None] print("====================================") print("PART 3") print("Initializing with values", values) print("====================================") heap = MinHeap(length) print("====================================") print("Test Case 7") print("Correct Initialization") print("====================================") num_tests += 1 if heap.get_heap_array() == [None, None, None, None, None, None, None, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 8") print("Correct Insertion") print("====================================") num_tests += 1 for value in values: heap.insert(value) if heap.get_heap_array() == [None, None, None, None, None, None, None, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 9") print("Correct Extraction") print("====================================") num_tests += 1 if heap.extract_min() == None: if heap.get_heap_array() == values: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED: Incorrect array output") num_tests_failed += 1 else: print("TEST FAILED: Incorrect value output") num_tests_failed += 1 print() length = 8 values = [3, 3, 8, 6, 4, 2, 8, 1, 9] print("====================================") print("PART 4") print("Initializing with values", values) print("====================================") heap = MinHeap(length) print("====================================") print("Test Case 10") print("Correct Initialization") print("====================================") num_tests += 1 if heap.get_heap_array() == [None, None, None, None, None, None, None, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 11") print("Correct Insertion") print("====================================") num_tests += 1 for value in values: heap.insert(value) if heap.get_heap_array() == [1, 2, 3, 3, 4, 8, 8, 6]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 12") print("Correct Extraction") print("====================================") num_tests += 1 if heap.extract_min() == 1: if heap.get_heap_array() == [2, 3, 3, 6, 4, 8, 8, None]: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED: Incorrect array output") num_tests_failed += 1 else: print("TEST FAILED: Incorrect value output") num_tests_failed += 1 print() length = 0 values = [3, 3, 8, 6, 4, 2, 8, 1, 9] print("====================================") print("PART 5") print("Initializing with values", values) print("====================================") heap = MinHeap(length) print("====================================") print("Test Case 13") print("Correct Initialization") print("====================================") num_tests += 1 if heap.get_heap_array() == []: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 14") print("Correct Insertion") print("====================================") num_tests += 1 for value in values: heap.insert(value) if heap.get_heap_array() == []: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 15") print("Correct Extraction") print("====================================") num_tests += 1 if heap.extract_min() == None: if heap.get_heap_array() == []: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED: Incorrect array output") num_tests_failed += 1 else: print("TEST FAILED: Incorrect value output") num_tests_failed += 1 print() length = 100 values = [3, 3, 8, 6, 4, 2, 8, 1, 9] print("====================================") print("PART 6") print("Initializing with values", values) print("====================================") heap = MinHeap(length) print("====================================") print("Test Case 16") print("Correct Initialization") print("====================================") num_tests += 1 if heap.get_heap_array() == [None] * length: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") num_tests_failed += 1 print() print("====================================") print("Test Case 17") print("Correct Insertion") print("====================================") num_tests += 1 for value in values: heap.insert(value) test_array = [1, 2, 3, 3, 4, 8, 8, 6, 9] for i in range(length - len(test_array)): test_array.append(None) if heap.get_heap_array() == test_array: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED") print("Array Returned:") print(heap.get_heap_array()) num_tests_failed += 1 print() print("Correct Array:") print(test_array) print() print("====================================") print("Test Case 18") print("Correct Extraction") print("====================================") num_tests += 1 test_array = [2, 3, 3, 6, 4, 8, 8, 9, None] for i in range(length - len(test_array)): test_array.append(None) if heap.extract_min() == 1: if heap.get_heap_array() == test_array: print("TEST PASSED") num_tests_passed += 1 else: print("TEST FAILED: Incorrect array output") print("Your array:") print(heap.get_heap_array()) print("Correct array:") print(test_array) num_tests_failed += 1 num_tests_failed += 1 else: print("TEST FAILED: Incorrect value output") print() print("====================================") print("SUMMARY") print("====================================") print("Total Tests:", num_tests) print("Total Tests Passed: {}/{}".format(num_tests_passed, num_tests)) print("Total Tests Failed: {}/{}".format(num_tests_failed, num_tests))

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null

0

1

0

1

0

9

3208895c7c20bb567de8cb2e6de26a965306400c

205

py

Python

classroom/views.py

SilviaZeta/abclassroom

a8f3f6f70f8c10999a1716b19bdc5e5d1a682b65

[ "Apache-2.0" ]

null

classroom/views.py

SilviaZeta/abclassroom

a8f3f6f70f8c10999a1716b19bdc5e5d1a682b65

[ "Apache-2.0" ]

null

classroom/views.py

SilviaZeta/abclassroom

a8f3f6f70f8c10999a1716b19bdc5e5d1a682b65

[ "Apache-2.0" ]

null

from django.shortcuts import render from django.http import Http404 def home_view(request): return render(request, 'home.html') def custom_404_view(request): return render(request, '404.html')

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7a29452d5ebb719a827ee7c42eade9bf240b2486

11,204

py

Python

python/dqcsim/tests/test_gatestream_misc.py

QE-Lab/dqcsim

2257d1ec5dc9578929b1b0726d5ab299bcab04e9

[ "Apache-2.0" ]

8

2020-05-06T03:32:49.000Z

2022-03-05T03:23:27.000Z

python/dqcsim/tests/test_gatestream_misc.py

mbrobbel/dqcsim

2257d1ec5dc9578929b1b0726d5ab299bcab04e9

[ "Apache-2.0" ]

387

2019-05-21T09:17:59.000Z

2020-03-10T19:05:12.000Z

python/dqcsim/tests/test_gatestream_misc.py

mbrobbel/dqcsim-rs

2257d1ec5dc9578929b1b0726d5ab299bcab04e9

[ "Apache-2.0" ]

3

2020-04-04T08:26:08.000Z

2022-01-29T16:06:42.000Z

import unittest, logging, os, sys, tempfile, re, math, cmath, pickle from dqcsim.common import * from dqcsim.host import * from dqcsim.plugin import * def catch_errors(fn, *args, **kwargs): try: return fn(*args, **kwargs) except Exception as e: return str(e) @plugin("Test frontend plugin", "Test", "0.1") class TestFrontend(Frontend): def handle_init(self, _): self.allocate(5) def handle_host_cmd_measure(self, measures=[]): self.measure(measures) def handle_host_cmd_advance(self, cycles=0): self.advance(cycles) def handle_host_cmd_arb(self, iface='', op=''): return ArbData(pickle.dumps(catch_errors(self.arb, iface, op))) def handle_host_cmd_stats(self, qubit=1): return ArbData(pickle.dumps(( catch_errors(self.get_measurement, qubit), catch_errors(self.get_cycles_since_measure, qubit), catch_errors(self.get_cycles_between_measures, qubit), self.get_cycle() ))) @plugin("Null operator plugin", "Test", "0.1") class NullOperator(Operator): def handle_host_cmd_stats(self, qubit=1): return ArbData(pickle.dumps(( catch_errors(self.get_measurement, qubit), catch_errors(self.get_cycles_since_measure, qubit), catch_errors(self.get_cycles_between_measures, qubit), self.get_cycle() ))) @plugin("Test operator 1", "Test", "0.1") class TestOperator1(NullOperator): def handle_measurement_gate(self, measures, matrix, arb): self.measure([q+1 for q in measures]) def handle_measurement(self, measurement): measurement.qubit -= 1 measurement.value = True return measurement def handle_advance(self, cycles): self.advance(cycles*2) def handle_upstream_b_b(self): return ArbData(b'oper') @plugin("Test operator 2", "Test", "0.1") class TestOperator2(NullOperator): def handle_measurement(self, measurement): measurement.value = True return [measurement] def handle_upstream_a_a(self): return ArbData(b'oper') @plugin("Test operator 3", "Test", "0.1") class TestOperator3(NullOperator): def handle_measurement(self, measurement): pass def handle_upstream_a_b(self): return ArbData(b'oper') @plugin("Null backend plugin", "Test", "0.1") class NullBackend(Backend): def handle_unitary_gate(self, targets, matrix, arb): pass def handle_measurement_gate(self, measures, matrix, arb): return [Measurement(qubit, False) for qubit in measures] def handle_prepare_gate(self, targets, matrix, arb): pass def handle_upstream_a_b(self): return ArbData(b'back') class Tests(unittest.TestCase): def test_null_operator(self): sim = Simulator( TestFrontend(), NullOperator(), NullBackend(), repro=None, stderr_verbosity=Loglevel.ERROR ) sim.simulate() self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 0, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 0), 0, 'Invalid argument: qubit 1 has only been measured once', 0, )) sim.arb('front', 'cmd', 'advance', cycles=10) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 0), 10, 'Invalid argument: qubit 1 has only been measured once', 10, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 0), 0, 10, 10, )) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='b')[0]), ArbData(b'back')) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='a')[0]), 'Invalid operation ID a for interface ID a') self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='b')[0]), ArbData()) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='a')[0]), ArbData()) sim.stop() def test_operator1(self): sim = Simulator( TestFrontend(), TestOperator1(), NullBackend(), repro=None, stderr_verbosity=Loglevel.ERROR ) sim.simulate() self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 0, )) self.assertEqual(pickle.loads(sim.arb('op1', 'cmd', 'stats', qubit=2)[0]), ( 'Invalid argument: qubit 2 has not been measured yet', 'Invalid argument: qubit 2 has not been measured yet', 'Invalid argument: qubit 2 has not been measured yet', 0, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 1), 0, 'Invalid argument: qubit 1 has only been measured once', 0, )) self.assertEqual(pickle.loads(sim.arb('op1', 'cmd', 'stats', qubit=2)[0]), ( Measurement(2, 0), 0, 'Invalid argument: qubit 2 has only been measured once', 0, )) sim.arb('front', 'cmd', 'advance', cycles=10) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 1), 10, 'Invalid argument: qubit 1 has only been measured once', 10, )) self.assertEqual(pickle.loads(sim.arb('op1', 'cmd', 'stats', qubit=2)[0]), ( Measurement(2, 0), 20, 'Invalid argument: qubit 2 has only been measured once', 20, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 1), 0, 10, 10, )) self.assertEqual(pickle.loads(sim.arb('op1', 'cmd', 'stats', qubit=2)[0]), ( Measurement(2, 0), 0, 20, 20, )) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='b')[0]), ArbData(b'back')) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='a')[0]), 'Invalid operation ID a for interface ID a') self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='b')[0]), ArbData(b'oper')) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='a')[0]), 'Invalid operation ID a for interface ID b') sim.stop() def test_operator2(self): sim = Simulator( TestFrontend(), TestOperator2(), NullBackend(), repro=None, stderr_verbosity=Loglevel.ERROR ) sim.simulate() self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 0, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 1), 0, 'Invalid argument: qubit 1 has only been measured once', 0, )) sim.arb('front', 'cmd', 'advance', cycles=10) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 1), 10, 'Invalid argument: qubit 1 has only been measured once', 10, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, 1), 0, 10, 10, )) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='b')[0]), 'Invalid operation ID b for interface ID a') self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='a')[0]), ArbData(b'oper')) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='b')[0]), ArbData()) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='a')[0]), ArbData()) sim.stop() def test_operator3(self): sim = Simulator( TestFrontend(), TestOperator3(), NullBackend(), repro=None, stderr_verbosity=Loglevel.ERROR ) sim.simulate() self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 'Invalid argument: qubit 1 has not been measured yet', 0, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, None), 0, 'Invalid argument: qubit 1 has only been measured once', 0, )) sim.arb('front', 'cmd', 'advance', cycles=10) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, None), 10, 'Invalid argument: qubit 1 has only been measured once', 10, )) sim.arb('front', 'cmd', 'measure', measures=[1]) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'stats', qubit=1)[0]), ( Measurement(1, None), 0, 10, 10, )) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='b')[0]), ArbData(b'oper')) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='a', op='a')[0]), 'Invalid operation ID a for interface ID a') self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='b')[0]), ArbData()) self.assertEqual(pickle.loads(sim.arb('front', 'cmd', 'arb', iface='b', op='a')[0]), ArbData()) sim.stop() if __name__ == '__main__': unittest.main()

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0.027372

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11,204

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37.597315

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null

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null

0

7

7a7233753b4dc7eea262c3817fcca13dc69de1de

34,535

py

Python

src/codespaces/azext_codespaces/vendored_sdks/codespaces/operations/plan_operations.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

207

2017-11-29T06:59:41.000Z

2022-03-31T10:00:53.000Z

src/codespaces/azext_codespaces/vendored_sdks/codespaces/operations/plan_operations.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

4,061

2017-10-27T23:19:56.000Z

2022-03-31T23:18:30.000Z

src/codespaces/azext_codespaces/vendored_sdks/codespaces/operations/plan_operations.py

Mannan2812/azure-cli-extensions

e2b34efe23795f6db9c59100534a40f0813c3d95

[ "MIT" ]

802

2017-10-11T17:36:26.000Z

2022-03-31T22:24:32.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- import uuid from msrest.pipeline import ClientRawResponse from .. import models class PlanOperations(object): """PlanOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. :ivar api_version: The API version to be used with the HTTP request. Constant value: "2020-06-16". """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.api_version = config.api_version or "2020-06-16" self.config = config def get( self, resource_group_name, plan_name, custom_headers=None, raw=False, **operation_config): """Retrieves information about a Codespaces Plan resource. Retrieves the properties of a Codespaces Plan. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlan or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlan or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.get.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlan', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}'} def delete( self, resource_group_name, plan_name, custom_headers=None, raw=False, **operation_config): """Deletes a Codespaces Plan resource. Deletes an existing Codespaces Plan. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.delete.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.delete(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200, 204]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response delete.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}'} def create( self, resource_group_name, plan_name, codespaces_plan, custom_headers=None, raw=False, **operation_config): """Creates a Codespaces Plan. Creates a Codespaces Plan with the specified create parameters. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param codespaces_plan: Codespaces Plan create parameters. :type codespaces_plan: ~microsoft.codespaces.models.CodespacesPlan :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlan or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlan or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.create.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(codespaces_plan, 'CodespacesPlan') # Construct and send request request = self._client.put(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlan', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}'} def update( self, resource_group_name, plan_name, codespaces_plan_update_parameters, custom_headers=None, raw=False, **operation_config): """Updates a Codespaces Plan. Updates the properties of an existing Codespaces Plan with the specified update parameters. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param codespaces_plan_update_parameters: Parameters for updating the Codespaces Plan. :type codespaces_plan_update_parameters: ~microsoft.codespaces.models.CodespacesPlanUpdateParameters :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlan or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlan or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.update.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(codespaces_plan_update_parameters, 'CodespacesPlanUpdateParameters') # Construct and send request request = self._client.patch(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlan', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized update.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}'} def read_all_codespaces_action( self, resource_group_name, plan_name, expiration=None, custom_headers=None, raw=False, **operation_config): """Get Codespaces Plan read codespaces access token. Get Codespaces Plan access token which allows listing all codespaces in the Plan. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param expiration: The requested expiration of a Codespaces Plan access token. :type expiration: long :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlanAccessToken or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlanAccessToken or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.read_all_codespaces_action.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') if expiration is not None: query_parameters['expiration'] = self._serialize.query("expiration", expiration, 'long') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlanAccessToken', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized read_all_codespaces_action.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}/readAllCodespaces'} def write_codespaces_action( self, resource_group_name, plan_name, expiration=None, custom_headers=None, raw=False, **operation_config): """Get Codespaces Plan write codespaces access token. Get Codespaces Plan access token which allows creating, updating, deleting and connecting to codespaces owned by the user. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param expiration: The requested expiration of a Codespaces Plan access token. :type expiration: long :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlanAccessToken or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlanAccessToken or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.write_codespaces_action.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') if expiration is not None: query_parameters['expiration'] = self._serialize.query("expiration", expiration, 'long') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlanAccessToken', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized write_codespaces_action.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}/writeCodespaces'} def delete_all_codespaces_action( self, resource_group_name, plan_name, expiration=None, custom_headers=None, raw=False, **operation_config): """Get Codespaces Plan read and delete codespaces access token. Get Codespaces Plan access token which allows reading and deleting all codespaces in the Plan. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param expiration: The requested expiration of a Codespaces Plan access token. :type expiration: long :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlanAccessToken or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlanAccessToken or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.delete_all_codespaces_action.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') if expiration is not None: query_parameters['expiration'] = self._serialize.query("expiration", expiration, 'long') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.post(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlanAccessToken', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized delete_all_codespaces_action.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}/deleteAllCodespaces'} def write_delegates_action( self, resource_group_name, plan_name, delegate_request, custom_headers=None, raw=False, **operation_config): """Get Codespaces Plan delegated write codespaces access token. Get Codespaces Plan delegated access token which allows creating, updating, deleting and connecting to codespaces owned by the user. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param plan_name: Name of the Codespaces Plan :type plan_name: str :param delegate_request: Codespaces Plan delegate access token parameters. :type delegate_request: ~microsoft.codespaces.models.CodespacesDelegateAccessTokenRequestBody :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CodespacesPlanAccessToken or ClientRawResponse if raw=true :rtype: ~microsoft.codespaces.models.CodespacesPlanAccessToken or ~msrest.pipeline.ClientRawResponse :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ # Construct URL url = self.write_delegates_action.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1), 'planName': self._serialize.url("plan_name", plan_name, 'str', pattern=r'^[a-zA-Z0-9]') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' header_parameters['Content-Type'] = 'application/json; charset=utf-8' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct body body_content = self._serialize.body(delegate_request, 'CodespacesDelegateAccessTokenRequestBody') # Construct and send request request = self._client.post(url, query_parameters, header_parameters, body_content) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CodespacesPlanAccessToken', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized write_delegates_action.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans/{planName}/writeDelegates'} def list_by_resource_group( self, resource_group_name, custom_headers=None, raw=False, **operation_config): """Retrieves information about all Codespaces Plan resources under the given subscription and resource group. Retrieves the properties of all Codespaces Plans. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of CodespacesPlan :rtype: ~microsoft.codespaces.models.CodespacesPlanPaged[~microsoft.codespaces.models.CodespacesPlan] :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list_by_resource_group.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str', max_length=90, min_length=1) } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.CodespacesPlanPaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.CodespacesPlanPaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list_by_resource_group.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Codespaces/plans'} def list_by_subscription( self, custom_headers=None, raw=False, **operation_config): """Retrieves information about all Codespaces Plan resources under the given subscription. Retrieves the properties of all Codespaces Plans. :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: An iterator like instance of CodespacesPlan :rtype: ~microsoft.codespaces.models.CodespacesPlanPaged[~microsoft.codespaces.models.CodespacesPlan] :raises: :class:`CodespacesPlanErrorResponseException<microsoft.codespaces.models.CodespacesPlanErrorResponseException>` """ def internal_paging(next_link=None, raw=False): if not next_link: # Construct URL url = self.list_by_subscription.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("self.config.subscription_id", self.config.subscription_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} query_parameters['api-version'] = self._serialize.query("self.api_version", self.api_version, 'str') else: url = next_link query_parameters = {} # Construct headers header_parameters = {} header_parameters['Accept'] = 'application/json' if self.config.generate_client_request_id: header_parameters['x-ms-client-request-id'] = str(uuid.uuid1()) if custom_headers: header_parameters.update(custom_headers) if self.config.accept_language is not None: header_parameters['accept-language'] = self._serialize.header("self.config.accept_language", self.config.accept_language, 'str') # Construct and send request request = self._client.get(url, query_parameters, header_parameters) response = self._client.send(request, stream=False, **operation_config) if response.status_code not in [200]: raise models.CodespacesPlanErrorResponseException(self._deserialize, response) return response # Deserialize response deserialized = models.CodespacesPlanPaged(internal_paging, self._deserialize.dependencies) if raw: header_dict = {} client_raw_response = models.CodespacesPlanPaged(internal_paging, self._deserialize.dependencies, header_dict) return client_raw_response return deserialized list_by_subscription.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Codespaces/plans'}

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7a8b4e269b5132aa27c1dc62077765375b8583a6

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py

Python

register/views.py

mejanvijay/Field-Management-Portal

360357aaf519b87baee1931ce60b2f39df02e6eb

[ "MIT" ]

null

register/views.py

mejanvijay/Field-Management-Portal

360357aaf519b87baee1931ce60b2f39df02e6eb

[ "MIT" ]

null

register/views.py

mejanvijay/Field-Management-Portal

360357aaf519b87baee1931ce60b2f39df02e6eb

[ "MIT" ]

null

from django.shortcuts import render from django.views.decorators.csrf import csrf_protect from django.http import HttpResponseRedirect from django.http import HttpResponse from django.contrib.auth.decorators import login_required from django.contrib.auth import logout from django.db import connection from FieldManagement import validations from FieldManagement.validations import exists,validateEmail,validateFloatingNumber,isApproved # Create your views here. @csrf_protect def student_registration(request) : if request.method == 'POST' : # if its a post request # getting data out of form StudID = request.POST.get('StudID') FirstName = request.POST.get('FirstName') MiddleName = request.POST.get('MiddleName') LastName = request.POST.get('LastName') DeptID = request.POST.get('DeptID') Sex = request.POST.get('Sex') MobileNo = request.POST.get('MobileNo') Course = request.POST.get('Course') ProfID = request.POST.get('ProfID') EmailID = request.POST.get('EmailID') Password = request.POST.get('Password') RePassword = request.POST.get('RePassword') isValidateData = True isStudIDValidate = (StudID != None ) and (not exists(StudID,"StudID","Advisor")) and (not exists(StudID,"StudID","Student")) and (StudID[0:2] == "ST") and validations.validateNumString(StudID[2:12]) and (len(StudID)==12) isValidateData &= isStudIDValidate isFirstNameValidate = (FirstName != None ) and validations.validateCharString(FirstName) isValidateData &= isFirstNameValidate isMiddleNameValidate = validations.validateCharString(MiddleName) or (MiddleName=="") isValidateData &= isMiddleNameValidate isLastNameValidate = validations.validateCharString(FirstName) or (LastName=="") isValidateData &= isLastNameValidate isDeptIDValidate = (DeptID != None ) and (exists(DeptID,"DeptID","Department",True)) and validations.validateNumString(DeptID) isValidateData &= isDeptIDValidate isMobileNoValid = (MobileNo != None ) and validations.validateNumString(MobileNo) and MobileNo[0]!="0" and (len(MobileNo) == 10) and (not exists(MobileNo,"MobileNo","Student")) isValidateData &= isMobileNoValid isEmailIDValid = validateEmail(EmailID) and (not exists(EmailID,"EmailID","Student")) isValidateData &= isEmailIDValid isProfIDValid = (ProfID != None) and exists(ProfID,"ProfID","Professor") and isApproved(ProfID,"ProfID","ProfApproved") isValidateData &= isProfIDValid isPasswordValid = (Password != None) and (len(Password)>=8 and len(Password)<=16) isValidateData &= isPasswordValid isRePasswordValid = (Password==RePassword) isValidateData &= isRePasswordValid if isValidateData : with connection.cursor() as cursor : try : if MiddleName != "" and LastName != "" : cursor.execute("INSERT INTO Student(StudID,FirstName,MiddleName,LastName,DeptID,Sex,MobileNo,Course,EmailID,Password) VALUES ('%s','%s','%s','%s',%s,'%s','%s','%s','%s','%s');" % (StudID,FirstName,MiddleName,LastName,DeptID,Sex,MobileNo,Course,EmailID,Password)) elif MiddleName == "" and LastName != "" : cursor.execute("INSERT INTO Student(StudID,FirstName,LastName,DeptID,Sex,MobileNo,Course,EmailID,Password) VALUES ('%s','%s','%s',%s,'%s','%s','%s','%s','%s');" % (StudID,FirstName,LastName,DeptID,Sex,MobileNo,Course,EmailID,Password)) elif MiddleName != "" and LastName == "" : cursor.execute("INSERT INTO Student(StudID,FirstName,MiddleName,DeptID,Sex,MobileNo,Course,EmailID,Password) VALUES ('%s','%s','%s',%s,'%s','%s','%s','%s','%s');" % (StudID,FirstName,MiddleName,DeptID,Sex,MobileNo,Course,EmailID,Password)) else : cursor.execute("INSERT INTO Student(StudID,FirstName,DeptID,Sex,MobileNo,Course,EmailID,Password) VALUES ('%s','%s',%s,'%s','%s','%s','%s','%s');" % (StudID,FirstName,DeptID,Sex,MobileNo,Course,EmailID,Password)) cursor.execute("INSERT INTO Advisor VALUES('%s','%s',%s);" % (ProfID,StudID,0)) except Exception, e: context = { 'DBerror' : str(e) ,} return render(request,"student_register.html",context) else : context = { 'RegSuccess' : True ,} return render(request,"home.html",context) else : context = {'isProfIDValid' : not isProfIDValid ,'isStudIDValidate' : not isStudIDValidate, 'isFirstNameValidate' : not isFirstNameValidate, 'isMiddleNameValidate' : not isMiddleNameValidate, 'isLastNameValidate' : not isLastNameValidate, 'isDeptIDValidate' : not isDeptIDValidate,'isMobileNoValid' : not isMobileNoValid, 'isEmailIDValid' : not isEmailIDValid, 'isPasswordValid' : not isPasswordValid, 'isRePasswordValid' : not isRePasswordValid} return render(request,"student_register.html",context) else : # if its a get request return render(request,"student_register.html",{}) @csrf_protect def professor_registration(request) : if request.method == 'POST' : # if its a post request # getting data out of form ProfID = request.POST.get('ProfID') FirstName = request.POST.get('FirstName') MiddleName = request.POST.get('MiddleName') LastName = request.POST.get('LastName') DeptID = request.POST.get('DeptID') Sex = request.POST.get('Sex') MobileNo = request.POST.get('MobileNo') Designation = request.POST.get('Designation') AdminID = request.POST.get('AdminID') EmailID = request.POST.get('EmailID') Password = request.POST.get('Password') RePassword = request.POST.get('RePassword') isValidateData = True isProfIDValidate = (ProfID != None ) and (not exists(ProfID,"ProfID","ProfApproved")) and (not exists(ProfID,"ProfID","Professor")) and (ProfID[0:2] == "PF") and validations.validateNumString(ProfID[2:12]) and (len(ProfID)==12) isValidateData &= isProfIDValidate isFirstNameValidate = (FirstName != None ) and validations.validateCharString(FirstName) isValidateData &= isFirstNameValidate isMiddleNameValidate = validations.validateCharString(MiddleName) or (MiddleName=="") isValidateData &= isMiddleNameValidate isLastNameValidate = validations.validateCharString(FirstName) or (LastName=="") isValidateData &= isLastNameValidate isDeptIDValidate = (DeptID != None ) and (exists(DeptID,"DeptID","Department",True)) and validations.validateNumString(DeptID) isValidateData &= isDeptIDValidate isMobileNoValid = (MobileNo != None ) and validations.validateNumString(MobileNo) and MobileNo[0]!="0" and (len(MobileNo) == 10) and (not exists(MobileNo,"MobileNo","Professor")) isValidateData &= isMobileNoValid isEmailIDValid = validateEmail(EmailID) and (not exists(EmailID,"EmailID","Professor")) isValidateData &= isEmailIDValid isAdminIDValidate = (AdminID != None) and exists(AdminID,"AdminID","Admin") isValidateData &= isAdminIDValidate isPasswordValid = (Password != None) and (len(Password)>=8 and len(Password)<=16) isValidateData &= isPasswordValid print "Password : ",Password print "Re-Password : ",RePassword isRePasswordValid = (Password==RePassword) isValidateData &= isRePasswordValid if isValidateData : with connection.cursor() as cursor : try : if MiddleName != "" and LastName != "" : cursor.execute("INSERT INTO Professor(ProfID,FirstName,MiddleName,LastName,DeptID,Sex,MobileNo,Designation,EmailID,Password) VALUES ('%s','%s','%s','%s',%s,'%s','%s','%s','%s','%s');" % (ProfID,FirstName,MiddleName,LastName,DeptID,Sex,MobileNo,Designation,EmailID,Password)) elif MiddleName == "" and LastName != "" : cursor.execute("INSERT INTO Professor(ProfID,FirstName,LastName,DeptID,Sex,MobileNo,Designation,EmailID,Password) VALUES ('%s','%s','%s',%s,'%s','%s','%s','%s','%s');" % (ProfID,FirstName,LastName,DeptID,Sex,MobileNo,Designation,EmailID,Password)) elif MiddleName != "" and LastName == "" : cursor.execute("INSERT INTO Professor(ProfID,FirstName,MiddleName,DeptID,Sex,MobileNo,Designation,EmailID,Password) VALUES ('%s','%s','%s',%s,'%s','%s','%s','%s','%s');" % (ProfID,FirstName,MiddleName,DeptID,Sex,MobileNo,Designation,EmailID,Password)) else : cursor.execute("INSERT INTO Professor(ProfID,FirstName,DeptID,Sex,MobileNo,Designation,EmailID,Password) VALUES ('%s','%s',%s,'%s','%s','%s','%s','%s');" % (ProfID,FirstName,DeptID,Sex,MobileNo,Designation,EmailID,Password)) cursor.execute("INSERT INTO ProfApproved VALUES('%s','%s',%s);" % (ProfID,AdminID,0)) except Exception, e: context = { 'DBerror' : str(e) ,} return render(request,"professor_register.html",context) else : context = { 'RegSuccess' : True ,} return render(request,"home.html",context) else : context = {'isProfIDValidate' : not isProfIDValidate ,'isAdminIDValidate' : not isAdminIDValidate, 'isFirstNameValidate' : not isFirstNameValidate, 'isMiddleNameValidate' : not isMiddleNameValidate, 'isLastNameValidate' : not isLastNameValidate, 'isDeptIDValidate' : not isDeptIDValidate,'isMobileNoValid' : not isMobileNoValid, 'isEmailIDValid' : not isEmailIDValid, 'isPasswordValid' : not isPasswordValid, 'isRePasswordValid' : not isRePasswordValid} return render(request,"professor_register.html",context) else : # if its a get request return render(request,"professor_register.html",{}) @csrf_protect def plotmanager_registration(request) : if request.method == 'POST' : # if its a post request # getting data out of form MangID = request.POST.get('MangID') FirstName = request.POST.get('FirstName') MiddleName = request.POST.get('MiddleName') LastName = request.POST.get('LastName') Sex = request.POST.get('Sex') MobileNo = request.POST.get('MobileNo') Experience = request.POST.get('Experience') AdminID = request.POST.get('AdminID') EmailID = request.POST.get('EmailID') Password = request.POST.get('Password') RePassword = request.POST.get('RePassword') isValidateData = True isMangIDValidate = (MangID != None ) and (not exists(MangID,"MangID","MangApproved")) and (not exists(MangID,"MangID","PlotManager")) and (MangID[0:2] == "PM") and validations.validateNumString(MangID[2:12]) and (len(MangID)==12) isValidateData &= isMangIDValidate isFirstNameValidate = (FirstName != None ) and validations.validateCharString(FirstName) isValidateData &= isFirstNameValidate isMiddleNameValidate = validations.validateCharString(MiddleName) or (MiddleName=="") isValidateData &= isMiddleNameValidate isLastNameValidate = validations.validateCharString(FirstName) or (LastName=="") isValidateData &= isLastNameValidate isMobileNoValid = (MobileNo != None ) and validations.validateNumString(MobileNo) and MobileNo[0]!="0" and (len(MobileNo) == 10) and (not exists(MobileNo,"MobileNo","PlotManager")) isValidateData &= isMobileNoValid isEmailIDValid = validateEmail(EmailID) and (not exists(EmailID,"EmailID","PlotManager")) isValidateData &= isEmailIDValid isExperienceValid = (Experience!=None) and validateFloatingNumber(Experience) and len(Experience)<=5 and (0.0<=float(Experience)<=50.0) and len(str((float(Experience)-int(float(Experience)))))==3 isValidateData &= isExperienceValid isAdminIDValidate = (AdminID != None) and exists(AdminID,"AdminID","Admin") isValidateData &= isAdminIDValidate isPasswordValid = (Password != None) and (len(Password)>=8 and len(Password)<=16) isValidateData &= isPasswordValid # print "Password : ",Password # print "Re-Password : ",RePassword isRePasswordValid = (Password==RePassword) isValidateData &= isRePasswordValid if isValidateData : with connection.cursor() as cursor : try : if MiddleName != "" and LastName != "" : cursor.execute("INSERT INTO PlotManager(MangID,FirstName,MiddleName,LastName,Sex,MobileNo,Experience,EmailID,Password) VALUES ('%s','%s','%s','%s','%s','%s',%s,'%s','%s');" % (MangID,FirstName,MiddleName,LastName,Sex,MobileNo,Experience,EmailID,Password)) elif MiddleName == "" and LastName != "" : cursor.execute("INSERT INTO PlotManager(MangID,FirstName,LastName,Sex,MobileNo,Experience,EmailID,Password) VALUES ('%s','%s','%s','%s','%s',%s,'%s','%s');" % (MangID,FirstName,LastName,Sex,MobileNo,Experience,EmailID,Password)) elif MiddleName != "" and LastName == "" : cursor.execute("INSERT INTO PlotManager(MangID,FirstName,MiddleName,Sex,MobileNo,Experience,EmailID,Password) VALUES ('%s','%s','%s','%s','%s',%s,'%s','%s');" % (MangID,FirstName,MiddleName,Sex,MobileNo,Experience,EmailID,Password)) else : cursor.execute("INSERT INTO PlotManager(MangID,FirstName,Sex,MobileNo,Experience,EmailID,Password) VALUES ('%s','%s','%s','%s',%s,'%s','%s');" % (MangID,FirstName,Sex,MobileNo,Experience,EmailID,Password)) cursor.execute("INSERT INTO MangApproved VALUES('%s','%s',%s);" % (MangID,AdminID,0)) except Exception, e: context = { 'DBerror' : str(e) ,} return render(request,"plotmanager_register.html",context) else : context = { 'RegSuccess' : True ,} return render(request,"home.html",context) else : context = {'isExperienceValid' : not isExperienceValid,'isMangValidate' : not isMangIDValidate ,'isAdminIDValidate' : not isAdminIDValidate, 'isFirstNameValidate' : not isFirstNameValidate, 'isMiddleNameValidate' : not isMiddleNameValidate, 'isLastNameValidate' : not isLastNameValidate, 'isMobileNoValid' : not isMobileNoValid, 'isEmailIDValid' : not isEmailIDValid, 'isPasswordValid' : not isPasswordValid, 'isRePasswordValid' : not isRePasswordValid} return render(request,"plotmanager_register.html",context) else : # if its a get request return render(request,"plotmanager_register.html",{})

55.790123

456

0.723538

1,441

13,557

6.795281

0.088827

0.020016

0.025429

0.027778

0.833333

0.803105

0.789624

0.773386

0.752859

0.743056

0

0.004372

0.122741

13,557

242

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56.020661

0.818969

0.021539

0

0.700535

0

0.064171

0.245484

0.133777

0

null

0.187166

0.048128

null

0.010695

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null

0

1

0

1

0

null

0

1

0

1

0

9

7aaae63539dae9c21c8fba3060a81d13c71e2827

233

py

Python

tccli/services/cloudhsm/__init__.py

zyh911/tencentcloud-cli

dfc5dbd660d4c60d265921c4edc630091478fc41

[ "Apache-2.0" ]

null

tccli/services/cloudhsm/__init__.py

zyh911/tencentcloud-cli

dfc5dbd660d4c60d265921c4edc630091478fc41

[ "Apache-2.0" ]

null

tccli/services/cloudhsm/__init__.py

zyh911/tencentcloud-cli

dfc5dbd660d4c60d265921c4edc630091478fc41

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- from tccli.services.cloudhsm.cloudhsm_client import register_arg from tccli.services.cloudhsm.cloudhsm_client import get_actions_info from tccli.services.cloudhsm.cloudhsm_client import AVAILABLE_VERSION_LIST

46.6

74

0.849785

32

233

5.9375

0.53125

0.142105

0.268421

0.394737

0.710526

0

0.00463

0.072961

233

4

75

58.25

0.875

0.090129

0

1

0

true

0

1

0

1

0

null

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

8

8903f4999209c73d98bde6bde3ef4cbc6352a192

122

py

Python

BQN/layers/dropout.py

umd-huang-lab/Bayesian-Quantized-Networks

eb56fa1cb142cf235dde9cec7badea86009c3fcb

[ "MIT" ]

null

BQN/layers/dropout.py

umd-huang-lab/Bayesian-Quantized-Networks

eb56fa1cb142cf235dde9cec7badea86009c3fcb

[ "MIT" ]

null

BQN/layers/dropout.py

umd-huang-lab/Bayesian-Quantized-Networks

eb56fa1cb142cf235dde9cec7badea86009c3fcb

[ "MIT" ]

null

import torch import torch.nn as nn import torch.nn.functional as F import torch.nn.modules.utils as utils import math

12.2

38

0.786885

22

122

4.363636

0.409091

0.458333

0.40625

0

0.163934

122

9

39

13.555556

0.941176

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

8f37c0c6f0b2de04dbc92173bb0e196d65624bc0

10,281

py

Python

random_peptide_sampling/databases_stats/data_stats.py

IdoSpringer/TCR-PEP-Classification

1cca1551ca71359239a5f5caea7f13ec01f4982b

[ "MIT" ]

1

2019-04-30T12:31:44.000Z

random_peptide_sampling/databases_stats/data_stats.py

IdoSpringer/TCR-PEP-Classification

1cca1551ca71359239a5f5caea7f13ec01f4982b

[ "MIT" ]

null

random_peptide_sampling/databases_stats/data_stats.py

IdoSpringer/TCR-PEP-Classification

1cca1551ca71359239a5f5caea7f13ec01f4982b

[ "MIT" ]

null

import matplotlib.pyplot as plt import csv import numpy as np weizmann = "Weizmann complete database.csv" shugay = "Shugay complete database.tsv" def tcr_per_peptide_w(): peptides = {} with open(weizmann, 'r') as data: next(data) for line in data: line = line.split(',') print(line) cdr_beta = line[2] if cdr_beta == 'NA': continue peptide = line[12] if peptide == 'NA': continue try: peptides[peptide] += 1 except KeyError: peptides[peptide] = 1 list = sorted(peptides, key=lambda k: peptides[k], reverse=True) return list, peptides def tcr_per_peptide_s(): peptides = {} with open(shugay, 'r') as data: next(data) for line in data: line = line.split('\t') print(line) cdr_type = line[1] if cdr_type != "TRB": continue cdr_beta = line[2] peptide = line[9] try: peptides[peptide] += 1 except KeyError: peptides[peptide] = 1 list = sorted(peptides, key=lambda k: peptides[k], reverse=True) return list, peptides def tcr_per_peptide_u(): peptides = {} with open(weizmann, 'r') as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') next(csv_reader) for line in csv_reader: cdr_beta = line[2] if cdr_beta == 'NA': continue peptide = line[12] print(cdr_beta, peptide, 'w') if peptide == 'NA': continue try: peptides[peptide] += 1 except KeyError: peptides[peptide] = 1 with open(shugay, 'r') as data: next(data) for line in data: line = line.split('\t') cdr_type = line[1] if cdr_type != "TRB": continue cdr_beta = line[2] peptide = line[9] print(cdr_beta, peptide, 's') try: peptides[peptide] += 1 except KeyError: peptides[peptide] = 1 list = sorted(peptides, key=lambda k: peptides[k], reverse=True) return list, peptides pass # Get number of TCR per peptide ''' # list, peptides = tcr_per_peptide_w() # list, peptides = tcr_per_peptide_s() # list, peptides = tcr_per_peptide_u() with open("20tcr_per_peptide_union.csv", 'w+') as file: file.write('"Number of TCR","Peptide"'+'\n') for peptide in list[:20]: file.write('"' + str(peptides[peptide]) + '"' + "," + '"'+peptide+'"' + '\n') ''' def length_distribution_w(): tcr_len = {} pep_len = {} with open(weizmann, 'r') as data: next(data) for line in data: line = line.split(',') print(line) tcr_beta = line[2] if tcr_beta == 'NA': continue peptide = line[12] if peptide == 'NA': continue try: tcr_len[len(tcr_beta)] += 1 except KeyError: tcr_len[len(tcr_beta)] = 1 try: pep_len[len(peptide)] += 1 except KeyError: pep_len[len(peptide)] = 1 lens_tcr = sorted(list(tcr_len.keys())) lens_pep = sorted(list(pep_len.keys())) num_len_tcr = [tcr_len[length] for length in lens_tcr] num_len_pep = [pep_len[length] for length in lens_pep] fig, ax = plt.subplots() ax.bar(lens_tcr, num_len_tcr, color='SkyBlue', label='TCR') ax.bar(lens_pep, num_len_pep, color='IndianRed', label='peptide') ax.legend() plt.xticks(lens_tcr) plt.title("TCR and peptide length distribution, Weizmann database") plt.show() def length_distribution_s(): tcr_len = {} pep_len = {} with open(shugay, 'r') as data: next(data) for line in data: line = line.split('\t') print(line) cdr_type = line[1] if cdr_type != "TRB": continue tcr_beta = line[2] peptide = line[9] if len(peptide) > 26 or len(peptide) < 7: continue if len(tcr_beta) > 26 or len(tcr_beta) < 7: continue try: tcr_len[len(tcr_beta)] += 1 except KeyError: tcr_len[len(tcr_beta)] = 1 try: pep_len[len(peptide)] += 1 except KeyError: pep_len[len(peptide)] = 1 lens_tcr = sorted(list(tcr_len.keys())) lens_pep = sorted(list(pep_len.keys())) num_len_tcr = [tcr_len[length] for length in lens_tcr] num_len_pep = [pep_len[length] for length in lens_pep] fig, ax = plt.subplots() ax.bar(lens_tcr, num_len_tcr, color='SkyBlue', label='TCR') ax.bar(lens_pep, num_len_pep, color='IndianRed', label='peptide') ax.legend() plt.xticks(range(7, 27)) plt.title("TCR and peptide length distribution, Shugay database") plt.show() def length_distribution_u(): tcr_len = {} pep_len = {} with open(weizmann, 'r') as csv_file: csv_reader = csv.reader(csv_file, delimiter=',') next(csv_reader) for line in csv_reader: tcr_beta = line[2] if tcr_beta == 'NA': continue peptide = line[12] if peptide == 'NA': continue try: tcr_len[len(tcr_beta)] += 1 except KeyError: tcr_len[len(tcr_beta)] = 1 try: pep_len[len(peptide)] += 1 except KeyError: pep_len[len(peptide)] = 1 with open(shugay, 'r') as data: next(data) for line in data: line = line.split('\t') cdr_type = line[1] if cdr_type != "TRB": continue tcr_beta = line[2] peptide = line[9] if len(peptide) > 26 or len(peptide) < 7: continue if len(tcr_beta) > 26 or len(tcr_beta) < 7: continue try: tcr_len[len(tcr_beta)] += 1 except KeyError: tcr_len[len(tcr_beta)] = 1 try: pep_len[len(peptide)] += 1 except KeyError: pep_len[len(peptide)] = 1 lens_tcr = sorted(list(tcr_len.keys())) lens_pep = sorted(list(pep_len.keys())) num_len_tcr = [tcr_len[length] for length in lens_tcr] num_len_pep = [pep_len[length] for length in lens_pep] fig, ax = plt.subplots() ax.bar(lens_tcr, num_len_tcr, color='SkyBlue', label='TCR') ax.bar(lens_pep, num_len_pep, color='IndianRed', label='peptide') ax.legend() plt.xticks(range(7, 21)) plt.title("TCR and peptide length distribution, Union database") plt.show() # length_distribution_w() # length_distribution_s() # length_distribution_u() # list, peptides = tcr_per_peptide_w() # list, peptides = tcr_per_peptide_s() list, peptides = tcr_per_peptide_u() print(list) print(peptides) print(len([pep for pep in peptides.keys()])) print(len([pep for pep in peptides.keys() if peptides[pep] > 125])) print(len([pep for pep in peptides.keys() if peptides[pep] > 600])) def pep_and_tcr_per_disease_w(): diseases_tcr = {} diseases_pep = {} with open(weizmann, 'r') as data: next(data) for line in data: line = line.split(',') print(line) cdr_beta = line[2] if cdr_beta == 'NA': continue peptide = line[12] if peptide == 'NA': continue disease = line[5] try: diseases_tcr[disease].append(cdr_beta) except KeyError: diseases_tcr[disease] = [cdr_beta] try: diseases_pep[disease].add(peptide) except KeyError: diseases_pep[disease] = set() diseases_pep[disease].add(peptide) list_tcr = sorted(diseases_tcr, key=lambda k: len(diseases_tcr[k]), reverse=True) with open('disease_tcr_w.csv', 'w+') as file: file.write('"Number of TCR", "Disease"'+'\n') for disease in list_tcr[:20]: file.write('"'+str(len(diseases_tcr[disease]))+'"'+","+disease+'\n') print(disease ,len(diseases_tcr[disease])) list_pep = sorted(diseases_pep, key=lambda k: len(diseases_pep[k]), reverse=True) with open('disease_pep_w.csv', 'w+') as file: file.write('"Number of peptides", "Disease"'+'\n') for disease in list_pep[:15]: file.write('"' + str(len(diseases_pep[disease])) + '"' + "," + disease + '\n') print(disease, len(diseases_pep[disease])) return diseases_tcr, diseases_pep def pep_and_tcr_per_disease_s(): diseases_tcr = {} diseases_pep = {} with open(shugay, 'r') as data: next(data) for line in data: line = line.split('\t') print(line) cdr_type = line[1] if cdr_type != "TRB": continue cdr_beta = line[2] peptide = line[9] disease = line[11] try: diseases_tcr[disease].append(cdr_beta) except KeyError: diseases_tcr[disease] = [cdr_beta] try: diseases_pep[disease].add(peptide) except KeyError: diseases_pep[disease] = set() diseases_pep[disease].add(peptide) list_tcr = sorted(diseases_tcr, key=lambda k: len(diseases_tcr[k]), reverse=True) for disease in list_tcr[:20]: print(disease ,len(diseases_tcr[disease])) list_pep = sorted(diseases_pep, key=lambda k: len(diseases_pep[k]), reverse=True) for disease in list_pep[:15]: print(disease, len(diseases_pep[disease])) #print(list_tcr[:20]) return diseases_tcr, diseases_pep #list = sorted(peptides, key=lambda k: peptides[k], reverse=True) ''' # print(pep_and_tcr_per_disease_w()) # print(pep_and_tcr_per_disease_s()) '''

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8f40ea815a66b038135b7efa73f846da4e0f72a4

10,620

py

Python

batch_export_addon.py

ziyeshanwai/blender_batch_render_addon

2aaaa86a57b9e68b5a7ad81565378b338768a8a3

[ "Apache-2.0" ]

null

batch_export_addon.py

ziyeshanwai/blender_batch_render_addon

2aaaa86a57b9e68b5a7ad81565378b338768a8a3

[ "Apache-2.0" ]

null

batch_export_addon.py

ziyeshanwai/blender_batch_render_addon

2aaaa86a57b9e68b5a7ad81565378b338768a8a3

[ "Apache-2.0" ]

null

bl_info = { "name": "Batch Export", "author": "wangliyou", "version": (1, 2), "blender": (2, 83, 0), "location": "View3D > Toolbar > Batch Export", "description": "batch export abc or video", "warning": "", "wiki_url": "", "category": "Add Mesh", } import bpy import os #This is the Main Panel (Parent of Panel A and B) class MAINUI(bpy.types.Panel): bl_label = "Batch Export Tool" bl_idname = "VIEW_PT_MainUI" bl_space_type = 'VIEW_3D' bl_region_type = 'UI' bl_category = 'Batch Export' def draw(self, context): layout = self.layout row = layout.row() row.label(text= "Batch ExPORT TOOL", icon= 'OBJECT_ORIGIN') row = layout.row() row.operator("wm.batch_render", icon= 'CUBE', text= "batch render aifa animaition") row = layout.row() row.operator("wm.batch_render_bone_animation", icon= 'CUBE', text= "batch render bone animaition") row = layout.row() row.operator("wm.batch_export_abc", icon= 'CUBE', text= "batch export abc") class WM_OT_batch_export_abc(bpy.types.Operator): bl_label = "batch export abc box" bl_idname = "wm.batch_export_abc" input_dir = bpy.props.StringProperty(name= "input dir", default= "") output_dir = bpy.props.StringProperty(name= "output dir:", default= "") scale = bpy.props.FloatProperty(name="scale", description="scale", default=1.0, min=0.01, max=100.0) def execute(self, context): input_dir = self.input_dir print("input_dir is {}".format(input_dir)) output_dir = self.output_dir print("output_dir is {}".format(output_dir)) names = os.listdir(input_dir) names = list(filter(lambda x: x.endswith(".fbx"), names)) number = 0 for name in names: input_path = os.path.join(input_dir, name) self.import_fbx(input_path) output_path = os.path.join(output_dir, name[:-3]+'abc') self.export(output_path) print("-" * 100) number += 1 print("{} export finish".format(name)) print("{}/{}".format(number, len(names))) return {'FINISHED'} def invoke(self, context, event): return context.window_manager.invoke_props_dialog(self) def set_frame_number(self): start_number = bpy.data.objects['head_geo'].animation_data.action.frame_range[0] end_number = bpy.data.objects['head_geo'].animation_data.action.frame_range[1] bpy.context.scene.frame_start = start_number bpy.context.scene.frame_end = end_number def import_fbx(self, file): bpy.ops.import_scene.fbx(filepath=file, global_scale=self.scale) # bas bpy.context.selected_objects[0].name ='head_geo' def export(self, output_path): for i in range(1, len(bpy.data.objects['head_geo'].data.shape_keys.key_blocks)): bpy.data.objects['head_geo'].data.shape_keys.key_blocks[i].slider_min = -5 bpy.data.objects['head_geo'].data.shape_keys.key_blocks[i].slider_max = 5 self.set_frame_number() bpy.data.objects['head_geo'].select_set(True) bpy.ops.wm.alembic_export(filepath=output_path, selected=True) bpy.ops.object.delete(use_global=False) print("export {}".format(output_path)) class WM_OT_batch_render(bpy.types.Operator): bl_label = "batch export render box" bl_idname = "wm.batch_render" input_dir = bpy.props.StringProperty(name= "input dir", default= "") output_dir = bpy.props.StringProperty(name= "output dir:", default= "") def execute(self, context): input_dir = self.input_dir print("input_dir is {}".format(input_dir)) output_dir = self.output_dir print("output_dir is {}".format(output_dir)) self.ini_render_settings() names = os.listdir(input_dir) names = list(filter(lambda x: x.endswith(".fbx"), names)) number = 0 for name in names: input_path = os.path.join(input_dir, name) self.import_fbx(input_path) output_path = os.path.join(output_dir, name[:-3]+'mp4') self.render_animation(output_path) number += 1 print("-" * 100) print("{} render finish".format(name)) print("{}/{}".format(number, len(names))) return {'FINISHED'} def invoke(self, context, event): return context.window_manager.invoke_props_dialog(self) def ini_render_settings(self): print("initial render setting") bpy.context.scene.unit_settings.scale_length = 0.01 bpy.context.scene.render.image_settings.file_format = 'FFMPEG' bpy.context.scene.render.ffmpeg.format = 'MPEG4' bpy.context.scene.render.ffmpeg.constant_rate_factor = 'MEDIUM' bpy.context.scene.render.ffmpeg.codec = 'H264' bpy.context.scene.render.fps = 60 def set_frame_number(self): start_number = bpy.data.objects['head_geo'].animation_data.action.frame_range[0] end_number = bpy.data.objects['head_geo'].animation_data.action.frame_range[1] bpy.context.scene.frame_start = start_number bpy.context.scene.frame_end = end_number def adjust_view(self): for area in bpy.context.screen.areas: if area.type == "VIEW_3D": break for region in area.regions: if region.type == "WINDOW": break space = area.spaces[0] context = bpy.context.copy() context['area'] = area context['region'] = region context['space_data'] = space bpy.data.objects['head_geo'].select_set(True) bpy.ops.view3d.view_selected(context) bpy.ops.view3d.view_axis(context, type='FRONT') #context['space_data'].overlay.show_overlays = False def render_animation(self, output_path): for i in range(1, len(bpy.data.objects['head_geo'].data.shape_keys.key_blocks)): bpy.data.objects['head_geo'].data.shape_keys.key_blocks[i].slider_min = -5 bpy.data.objects['head_geo'].data.shape_keys.key_blocks[i].slider_max = 5 self.set_frame_number() bpy.context.scene.render.filepath = output_path self.adjust_view() bpy.ops.render.opengl(animation=True) bpy.data.objects['head_geo'].select_set(True) bpy.ops.object.delete(use_global=False) def import_fbx(self, file): bpy.ops.import_scene.fbx(filepath=file, global_scale=0.01) # bas bpy.context.selected_objects[0].name ='head_geo' class WM_OT_batch_render_bone_animation(bpy.types.Operator): bl_label = "batch export render box" bl_idname = "wm.batch_render_bone_animation" input_dir = bpy.props.StringProperty(name= "input dir", default= "") output_dir = bpy.props.StringProperty(name= "output dir:", default= "") def execute(self, context): input_dir = self.input_dir print("input_dir is {}".format(input_dir)) output_dir = self.output_dir print("output_dir is {}".format(output_dir)) self.ini_render_settings() names = os.listdir(input_dir) names = list(filter(lambda x: x.endswith(".fbx"), names)) number = 0 for name in names: input_path = os.path.join(input_dir, name) self.import_fbx(input_path) output_path = os.path.join(output_dir, name[:-3]+'mp4') self.render_animation(output_path) number += 1 print("-" * 100) print("{} render finish".format(name)) print("{}/{}".format(number, len(names))) return {'FINISHED'} def invoke(self, context, event): return context.window_manager.invoke_props_dialog(self) def ini_render_settings(self): print("initial render setting") bpy.context.scene.unit_settings.scale_length = 0.01 bpy.context.scene.render.image_settings.file_format = 'FFMPEG' bpy.context.scene.render.ffmpeg.format = 'MPEG4' bpy.context.scene.render.ffmpeg.constant_rate_factor = 'MEDIUM' bpy.context.scene.render.ffmpeg.codec = 'H264' bpy.context.scene.render.fps = 60 def set_frame_number(self): start_number = bpy.data.objects['head_geo_rig'].animation_data.action.frame_range[0] end_number = bpy.data.objects['head_geo_rig'].animation_data.action.frame_range[1] bpy.context.scene.frame_start = start_number bpy.context.scene.frame_end = end_number def adjust_view(self): for area in bpy.context.screen.areas: if area.type == "VIEW_3D": break for region in area.regions: if region.type == "WINDOW": break space = area.spaces[0] context = bpy.context.copy() context['area'] = area context['region'] = region context['space_data'] = space bpy.data.objects['head_geo_rig'].select_set(False) bpy.data.objects['head_geo'].select_set(True) bpy.ops.view3d.view_selected(context) bpy.ops.view3d.view_axis(context, type='FRONT') #context['space_data'].overlay.show_overlays = False def render_animation(self, output_path): self.set_frame_number() bpy.context.scene.render.filepath = output_path self.adjust_view() bpy.ops.render.opengl(animation=True) bpy.data.objects['head_geo_rig'].select_set(True) bpy.ops.object.delete(use_global=False) def import_fbx(self, file): bpy.ops.import_scene.fbx(filepath=file, global_scale=0.01) # bas bpy.context.selected_objects[0].name ='head_geo_rig' #Here we are Registering the Classes def register(): bpy.utils.register_class(MAINUI) bpy.utils.register_class(WM_OT_batch_render) bpy.utils.register_class(WM_OT_batch_export_abc) bpy.utils.register_class(WM_OT_batch_render_bone_animation) #Here we are UnRegistering the Classes def unregister(): bpy.utils.unregister_class(MAINUI) bpy.utils.unregister_class(WM_OT_batch_render) bpy.utils.unregister_class(WM_OT_batch_export_abc) bpy.utils.unregister_class(WM_OT_batch_render_bone_animation) #This is required in order for the script to run in the text editor if __name__ == "__main__": register()

38.33935

106

0.632298

1,386

10,620

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0.136364

0.042082

0.046758

0.050499

0.860817

0.846789

0.843672

0.820293

0.763092

0.756858

0

0.010458

0.243691

10,620

277

107

38.33935

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0

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0

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0

1

0.101852

false

0

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0.013889

0.282407

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0

null

0

1

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1

0

null

0

7

8f723aba7350ac3627881419dc81423f234ecb32

9,849

py

Python

python/tests/generated/errors/validation/test_value_error.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

17

2019-04-15T21:03:37.000Z

2022-01-24T11:03:34.000Z

python/tests/generated/errors/validation/test_value_error.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

20

2019-03-13T23:23:40.000Z

2022-03-29T13:40:57.000Z

python/tests/generated/errors/validation/test_value_error.py

eno-lang/enolib

4175f7c1e8246493b6758c29bddc80d20eaf15f7

[ "MIT" ]

4

2019-04-15T21:18:03.000Z

2019-09-21T16:18:10.000Z

import enolib def test_querying_a_value_from_a_field_with_a_loader_that_always_produces_an_error_raises_the_expected_validationerror(): error = None input = ("field: value") try: def loader(value): raise ValueError(f"my error for '{value}'") enolib.parse(input).field('field').required_value(loader) except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my error for 'value'") assert error.text == text snippet = (" Line | Content\n" " > 1 | field: value") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 7 assert error.selection['to']['line'] == 0 assert error.selection['to']['column'] == 12 def test_requesting_a_value_error_from_a_field_with_a_static_message_raises_the_expected_validationerror(): error = None input = ("field: value") try: raise enolib.parse(input).field('field').value_error('my static message') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my static message") assert error.text == text snippet = (" Line | Content\n" " > 1 | field: value") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 7 assert error.selection['to']['line'] == 0 assert error.selection['to']['column'] == 12 def test_requesting_a_value_error_from_a_field_with_a_dynamically_generated_message_raises_the_expected_validationerror(): error = None input = ("field: value") try: raise enolib.parse(input).field('field').value_error(lambda value: f"my generated message for '{value}'") except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my generated message for 'value'") assert error.text == text snippet = (" Line | Content\n" " > 1 | field: value") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 7 assert error.selection['to']['line'] == 0 assert error.selection['to']['column'] == 12 def test_requesting_a_value_error_from_a_multiline_field_with_a_static_message_raises_the_expected_validationerror(): error = None input = ("-- multiline_field\n" "value\n" "-- multiline_field") try: raise enolib.parse(input).field('multiline_field').value_error('my static message') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my static message") assert error.text == text snippet = (" Line | Content\n" " 1 | -- multiline_field\n" " > 2 | value\n" " 3 | -- multiline_field") assert error.snippet == snippet assert error.selection['from']['line'] == 1 assert error.selection['from']['column'] == 0 assert error.selection['to']['line'] == 1 assert error.selection['to']['column'] == 5 def test_requesting_a_value_error_from_a_multiline_field_with_a_dynamically_generated_message_raises_the_expected_validationerror(): error = None input = ("-- multiline_field\n" "value\n" "-- multiline_field") try: raise enolib.parse(input).field('multiline_field').value_error(lambda value: f"my generated message for '{value}'") except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my generated message for 'value'") assert error.text == text snippet = (" Line | Content\n" " 1 | -- multiline_field\n" " > 2 | value\n" " 3 | -- multiline_field") assert error.snippet == snippet assert error.selection['from']['line'] == 1 assert error.selection['from']['column'] == 0 assert error.selection['to']['line'] == 1 assert error.selection['to']['column'] == 5 def test_requesting_a_value_error_from_an_empty_multiline_field_with_a_static_message_raises_the_expected_validationerror(): error = None input = ("-- multiline_field\n" "-- multiline_field") try: raise enolib.parse(input).field('multiline_field').value_error('my static message') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my static message") assert error.text == text snippet = (" Line | Content\n" " > 1 | -- multiline_field\n" " * 2 | -- multiline_field") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 18 assert error.selection['to']['line'] == 0 assert error.selection['to']['column'] == 18 def test_requesting_a_value_error_from_an_empty_multiline_field_with_a_dynamically_generated_message_raises_the_expected_validationerror(): error = None input = ("-- multiline_field\n" "-- multiline_field") try: raise enolib.parse(input).field('multiline_field').value_error(lambda _value: f"my generated message") except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my generated message") assert error.text == text snippet = (" Line | Content\n" " > 1 | -- multiline_field\n" " * 2 | -- multiline_field") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 18 assert error.selection['to']['line'] == 0 assert error.selection['to']['column'] == 18 def test_requesting_a_value_error_from_a_field_with_continuations_with_a_static_message_raises_the_expected_validationerror(): error = None input = ("field: value\n" "\\ continuation\n" "\\ continuation\n" "|\n" "\n" "|") try: raise enolib.parse(input).field('field').value_error('my static message') except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my static message") assert error.text == text snippet = (" Line | Content\n" " > 1 | field: value\n" " * 2 | \\ continuation\n" " * 3 | \\ continuation\n" " * 4 | |\n" " * 5 | \n" " * 6 | |") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 7 assert error.selection['to']['line'] == 5 assert error.selection['to']['column'] == 1 def test_requesting_a_value_error_from_a_field_with_continuations_with_a_dynamically_generated_message_raises_the_expected_validationerror(): error = None input = ("field: value\n" "\\ continuation\n" "\\ continuation\n" "|\n" "\n" "|") try: raise enolib.parse(input).field('field').value_error(lambda value: f"my generated message for '{value}'") except enolib.ValidationError as _error: if isinstance(_error, enolib.ValidationError): error = _error else: raise _error assert type(error) is enolib.ValidationError text = ("There is a problem with the value of this element: my generated message for 'value continuation continuation'") assert error.text == text snippet = (" Line | Content\n" " > 1 | field: value\n" " * 2 | \\ continuation\n" " * 3 | \\ continuation\n" " * 4 | |\n" " * 5 | \n" " * 6 | |") assert error.snippet == snippet assert error.selection['from']['line'] == 0 assert error.selection['from']['column'] == 7 assert error.selection['to']['line'] == 5 assert error.selection['to']['column'] == 1

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py

Python

tests/integration/test_zookeeper_config_load_balancing/test.py

chalice19/ClickHouse

2f38e7bc5c2113935ab86260439bb543a1737291

[ "Apache-2.0" ]

8,629

2016-06-14T21:03:01.000Z

2019-09-23T07:46:38.000Z

tests/integration/test_zookeeper_config_load_balancing/test.py

chalice19/ClickHouse

2f38e7bc5c2113935ab86260439bb543a1737291

[ "Apache-2.0" ]

4,335

2016-06-15T12:58:31.000Z

2019-09-23T11:18:43.000Z

tests/integration/test_zookeeper_config_load_balancing/test.py

chalice19/ClickHouse

2f38e7bc5c2113935ab86260439bb543a1737291

[ "Apache-2.0" ]

1,700

2016-06-15T09:25:11.000Z

2019-09-23T11:16:38.000Z

import pytest from helpers.cluster import ClickHouseCluster from helpers.network import PartitionManager cluster = ClickHouseCluster( __file__, zookeeper_config_path="configs/zookeeper_load_balancing.xml" ) # use 3-letter hostnames, so getHostNameDifference("nod1", "zoo1") will work as expected node1 = cluster.add_instance( "nod1", with_zookeeper=True, main_configs=["configs/zookeeper_load_balancing.xml"] ) node2 = cluster.add_instance( "nod2", with_zookeeper=True, main_configs=["configs/zookeeper_load_balancing.xml"] ) node3 = cluster.add_instance( "nod3", with_zookeeper=True, main_configs=["configs/zookeeper_load_balancing.xml"] ) def change_balancing(old, new, reload=True): line = "<zookeeper_load_balancing>{}<" old_line = line.format(old) new_line = line.format(new) for node in [node1, node2, node3]: node.replace_in_config( "/etc/clickhouse-server/config.d/zookeeper_load_balancing.xml", old_line, new_line, ) if reload: node.query("select '{}', '{}'".format(old, new)) node.query("system reload config") @pytest.fixture(scope="module") def started_cluster(): try: cluster.start() yield cluster finally: cluster.shutdown() def test_first_or_random(started_cluster): try: change_balancing("random", "first_or_random") print( str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) finally: change_balancing("first_or_random", "random", reload=False) def test_in_order(started_cluster): try: change_balancing("random", "in_order") print( str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) finally: change_balancing("in_order", "random", reload=False) def test_nearest_hostname(started_cluster): try: change_balancing("random", "nearest_hostname") print( str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo1_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo2_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo3_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) finally: change_balancing("nearest_hostname", "random", reload=False) def test_round_robin(started_cluster): pm = PartitionManager() try: pm._add_rule( { "source": node1.ip_address, "destination": cluster.get_instance_ip("zoo1"), "action": "REJECT --reject-with tcp-reset", } ) pm._add_rule( { "source": node2.ip_address, "destination": cluster.get_instance_ip("zoo1"), "action": "REJECT --reject-with tcp-reset", } ) pm._add_rule( { "source": node3.ip_address, "destination": cluster.get_instance_ip("zoo1"), "action": "REJECT --reject-with tcp-reset", } ) change_balancing("random", "round_robin") print( str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node1.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo2_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node2.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo2_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) print( str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep ':2181' | grep ESTABLISHED", ], privileged=True, user="root", ) ) ) assert ( "1" == str( node3.exec_in_container( [ "bash", "-c", "lsof -a -i4 -i6 -itcp -w | grep 'testzookeeperconfigloadbalancing_zoo2_1.*testzookeeperconfigloadbalancing_default:2181' | grep ESTABLISHED | wc -l", ], privileged=True, user="root", ) ).strip() ) finally: pm.heal_all() change_balancing("round_robin", "random", reload=False)

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1

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null

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7

71090c8ca1aa16a4d926cc77f5b61862cfc42dd5

36,713

py

Python

lasagne_wrapper/lasagne_wrapper/network.py

SCCH-KVS/NuclearSegmentationPipeline

5b4a37b74890e0a6fb767061c60a9f2a880d370d

[ "MIT" ]

13

2019-05-22T08:41:17.000Z

2022-03-08T03:09:52.000Z

lasagne_wrapper/lasagne_wrapper/network.py

SCCH-KVS/NuclearSegmentationPipeline

5b4a37b74890e0a6fb767061c60a9f2a880d370d

[ "MIT" ]

15

2020-01-28T22:53:59.000Z

2022-03-12T00:55:09.000Z

lasagne_wrapper/lasagne_wrapper/network.py

SCCH-KVS/NuclearSegmentationPipeline

5b4a37b74890e0a6fb767061c60a9f2a880d370d

[ "MIT" ]

3

2020-06-18T09:35:54.000Z

2022-02-17T03:55:25.000Z

from __future__ import print_function import os import sys import time import pickle import itertools import numpy as np import theano import lasagne from lasagne.utils import floatX from lasagne_wrapper.utils import BColors, print_net_architecture import theano.tensor as T from lasagne_wrapper.data_pool import DataPool from lasagne_wrapper.batch_iterators import threaded_generator_from_iterator class BaseNetwork_(object): """ Neural Network """ def __init__(self, net, print_architecture=True): """ Constructor """ self.net = net self.compute_output = None self.compute_output_dict = dict() # get input shape of network l_in = lasagne.layers.helper.get_all_layers(self.net)[0] self.input_shape = l_in.output_shape if print_architecture: print_net_architecture(net) def fit(self, data, training_strategy, dump_file=None, log_file=None): """ Train model """ print("Training neural network...") col = BColors() # create data pool if raw data is given if "X_train" in data: data_pools = dict() data_pools['train'] = DataPool(data['X_train'], data['y_train']) data_pools['valid'] = DataPool(data['X_valid'], data['y_valid']) else: data_pools = data # check if out_path exists if dump_file is not None: out_path = os.path.dirname(dump_file) if out_path != '' and not os.path.exists(out_path): os.mkdir(out_path) # log model evolution if log_file is not None: out_path = os.path.dirname(log_file) if out_path != '' and not os.path.exists(out_path): os.mkdir(out_path) # adaptive learning rate learn_rate = training_strategy.ini_learning_rate learning_rate = theano.shared(floatX(learn_rate)) learning_rate.set_value(training_strategy.adapt_learn_rate(training_strategy.ini_learning_rate, 0)) # initialize evaluation output pred_tr_err, pred_val_err, overfitting = [], [], [] tr_accs, va_accs = [], [] print("Compiling theano train functions...") iter_funcs = self._create_iter_functions(y_tensor_type=training_strategy.y_tensor_type, objective=training_strategy.objective, learning_rate=learning_rate, l_2=training_strategy.L2, compute_updates=training_strategy.update_parameters, use_weights=training_strategy.use_weights) print("Starting training...") now = time.time() try: # initialize early stopping last_improvement = 0 best_model = lasagne.layers.get_all_param_values(self.net) # iterate training epochs prev_tr_loss, prev_va_loss = np.inf, np.inf for epoch in self._train(iter_funcs, data_pools, training_strategy.build_train_batch_iterator(), training_strategy.build_valid_batch_iterator()): print("Epoch {} of {} took {:.3f}s".format(epoch['number'], training_strategy.max_epochs, time.time() - now)) now = time.time() # --- collect train output --- tr_loss, va_loss = epoch['train_loss'], epoch['valid_loss'] overfit = epoch['overfitting'] # prepare early stopping improvement = va_loss < prev_va_loss if improvement: last_improvement = 0 best_model = lasagne.layers.get_all_param_values(self.net) best_epoch = epoch['number'] # dump net parameters during training if dump_file is not None: with open(dump_file, 'wb') as fp: pickle.dump(best_model, fp) last_improvement += 1 # print train output txt_tr = 'costs_tr %.5f ' % tr_loss if tr_loss < prev_tr_loss: txt_tr = col.print_colored(txt_tr, BColors.OKGREEN) prev_tr_loss = tr_loss txt_val = 'costs_val %.5f ' % va_loss if va_loss < prev_va_loss: txt_val = col.print_colored(txt_val, BColors.OKGREEN) prev_va_loss = va_loss print(' lr: %.5f' % learn_rate) print(' ' + txt_tr + txt_val + 'tr/val %.3f' % overfit) # collect model evolution data pred_tr_err.append(tr_loss) pred_val_err.append(va_loss) overfitting.append(overfit) # save results exp_res = dict() exp_res['pred_tr_err'] = pred_tr_err exp_res['pred_val_err'] = pred_val_err exp_res['overfitting'] = overfitting if log_file is not None: with open(log_file, 'w') as fp: pickle.dump(exp_res, fp) # --- early stopping: preserve best model --- if last_improvement > training_strategy.patience: print(col.print_colored("Early Stopping!", BColors.WARNING)) status = "Epoch: %d, Best Validation Loss: %.5f" % ( best_epoch, prev_va_loss) print(col.print_colored(status, BColors.WARNING)) break # maximum number of epochs reached if epoch['number'] >= training_strategy.max_epochs: break # update learning rate learn_rate = training_strategy.adapt_learn_rate(learn_rate, epoch['number']) learning_rate.set_value(learn_rate) except KeyboardInterrupt: pass # set net to best weights lasagne.layers.set_all_param_values(self.net, best_model) def predict_proba(self, input): """ Predict on test samples """ # prepare input for prediction if not isinstance(input, list): input = [input] # reshape to network input if input[0].ndim < len(self.input_shape): input[0] = input[0].reshape([1] + list(input[0].shape)) if self.compute_output is None: self.compute_output = self._compile_prediction_function() return self.compute_output(*input) def predict(self, input): """ Predict class labels on test samples """ # prepare input for prediction if not isinstance(input, list): input = [input] return np.argmax(self.predict_proba(*input), axis=-1) def compute_layer_output(self, input, layer): """ Compute output of given layer layer: either a string (name of layer) or a layer object """ # prepare input for prediction if not isinstance(input, list): input = [input] # reshape to network input if input[0].ndim < len(self.input_shape): input[0] = input[0].reshape([1] + list(input[0].shape)) # get layer by name if not isinstance(layer, lasagne.layers.Layer): for l in lasagne.layers.helper.get_all_layers(self.net): if l.name == layer: layer = l break # compile prediction function for target layer if layer not in self.compute_output_dict: self.compute_output_dict[layer] = self._compile_prediction_function(target_layer=layer) return self.compute_output_dict[layer](*input) def save(self, file_path): """ Save model to disk """ with open(file_path, 'w') as fp: params = lasagne.layers.get_all_param_values(self.net) pickle.dump(params, fp, -1) def load(self, file_path): """ load model from disk """ with open(file_path, 'r') as fp: params = pickle.load(fp) lasagne.layers.set_all_param_values(self.net, params) def _compile_prediction_function(self, target_layer=None): """ Compile theano prediction function """ # collect input vars all_layers = lasagne.layers.helper.get_all_layers(self.net) input_vars = [] for l in all_layers: if isinstance(l, lasagne.layers.InputLayer): input_vars.append(l.input_var) # get network output nad compile function if target_layer is None: target_layer = self.net net_output = lasagne.layers.get_output(target_layer, deterministic=True) return theano.function(inputs=input_vars, outputs=net_output) def _create_iter_functions(self, y_tensor_type, objective, learning_rate, l_2, compute_updates, use_weights): """ Create functions for training, validation and testing to iterate one epoch. """ # init target tensor targets = y_tensor_type('y') weights = y_tensor_type('w') # get input layer all_layers = lasagne.layers.helper.get_all_layers(self.net) # collect input vars input_vars = [] for l in all_layers: if isinstance(l, lasagne.layers.InputLayer): input_vars.append(l.input_var) # compute train costs tr_output = lasagne.layers.get_output(self.net, deterministic=False) if use_weights: tr_cost = objective(tr_output, targets, weights) tr_input = input_vars + [targets, weights] else: tr_cost = objective(tr_output, targets) tr_input = input_vars + [targets] # regularizer for RNNs for l in all_layers: if l.name == "norm_reg_rnn": H = lasagne.layers.get_output(l, deterministic=False) H_l2 = T.sqrt(T.sum(H**2, axis=-1)) norm_diffs = (H_l2[:, 1:] - H_l2[:, :-1])**2 norm_preserving_loss = T.mean(norm_diffs) beta = 1.0 tr_cost += beta * norm_preserving_loss else: pass # compute validation costs va_output = lasagne.layers.get_output(self.net, deterministic=True) va_cost = objective(va_output, targets) # collect all parameters of net and compute updates all_params = lasagne.layers.get_all_params(self.net, trainable=True) # add weight decay if l_2 is not None: all_layers = lasagne.layers.get_all_layers(self.net) tr_cost += l_2 * lasagne.regularization.regularize_layer_params(all_layers, lasagne.regularization.l2) # compute updates all_grads = lasagne.updates.get_or_compute_grads(tr_cost, all_params) updates = compute_updates(all_grads, all_params, learning_rate) # compile iter functions tr_outputs = [tr_cost, tr_output] iter_train = theano.function(tr_input, tr_outputs, updates=updates) va_inputs = input_vars + [targets] va_outputs = [va_cost, va_output] iter_valid = theano.function(va_inputs, va_outputs) return dict(train=iter_train, valid=iter_valid, test=iter_valid) def _train(self, iter_funcs, data_pools, train_batch_iter, valid_batch_iter): """ Train the model with `dataset` with mini-batch training. Each mini-batch has `batch_size` recordings. """ col = BColors() for epoch in itertools.count(1): # iterate train batches batch_train_losses = [] iterator = train_batch_iter(data_pools['train']) generator = threaded_generator_from_iterator(iterator) batch_times = np.zeros(5, dtype=np.float32) start, after = time.time(), time.time() for i_batch, train_input in enumerate(generator): batch_res = iter_funcs['train'](*train_input) batch_train_losses.append(batch_res[0]) # train time batch_time = time.time() - after after = time.time() train_time = (after - start) # estimate updates per second (running avg) batch_times[0:4] = batch_times[1:5] batch_times[4] = batch_time ups = 1.0 / batch_times.mean() # report loss during training perc = 100 * (float(i_batch) / train_batch_iter.n_batches) dec = int(perc // 4) progbar = "|" + dec * "#" + (25 - dec) * "-" + "|" vals = (perc, progbar, train_time, ups, np.mean(batch_train_losses)) loss_str = " (%d%%) %s time: %.2fs, ups: %.2f, loss: %.5f" % vals print(col.print_colored(loss_str, col.WARNING), end="\r") sys.stdout.flush() # print("\x1b[K", end="\r") print(' ') print(' ') avg_train_loss = np.mean(batch_train_losses) # evaluate classification power of data set # iterate validation batches batch_valid_losses = [] iterator = valid_batch_iter(data_pools['valid']) generator = threaded_generator_from_iterator(iterator) for va_input in generator: batch_res = iter_funcs['valid'](*va_input) batch_valid_losses.append(batch_res[0]) avg_valid_loss = np.mean(batch_valid_losses) # collect results yield { 'number': epoch, 'train_loss': avg_train_loss, 'valid_loss': avg_valid_loss, 'overfitting': avg_train_loss / avg_valid_loss, } class Network(object): """ Neural Network """ def __init__(self, net, print_architecture=True): """ Constructor """ self.net = net self.compute_output = None self.compute_output_dict = dict() # get input shape of network l_in = lasagne.layers.helper.get_all_layers(self.net)[0] self.input_shape = l_in.output_shape if print_architecture: print_net_architecture(net) def fit(self, data, training_strategy, dump_file=None, log_file=None): """ Train model """ print("Training neural network...") col = BColors() # create data pool if raw data is given if "X_train" in data: data_pools = dict() data_pools['train'] = DataPool(data['X_train'], data['y_train']) data_pools['valid'] = DataPool(data['X_valid'], data['y_valid']) else: data_pools = data # check if out_path exists if dump_file is not None: out_path = os.path.dirname(dump_file) if out_path != '' and not os.path.exists(out_path): os.mkdir(out_path) # log model evolution if log_file is not None: out_path = os.path.dirname(log_file) if out_path != '' and not os.path.exists(out_path): os.mkdir(out_path) # adaptive learning rate learn_rate = training_strategy.ini_learning_rate learning_rate = theano.shared(floatX(learn_rate)) learning_rate.set_value(training_strategy.adapt_learn_rate(training_strategy.ini_learning_rate, 0)) # initialize evaluation output pred_tr_err, pred_val_err, overfitting = [], [], [] tr_accs, va_accs = [], [] print("Compiling theano train functions...") iter_funcs = self._create_iter_functions(y_tensor_type=training_strategy.y_tensor_type, objective=training_strategy.objective, learning_rate=learning_rate, l_2=training_strategy.L2, compute_updates=training_strategy.update_parameters, use_weights=training_strategy.use_weights, use_mask=training_strategy.use_mask) print("Starting training...") now = time.time() try: # initialize early stopping last_improvement = 0 best_model = lasagne.layers.get_all_param_values(self.net) # iterate training epochs best_va_dice = 0.0 prev_tr_loss, prev_va_loss = 1e7, 1e7 prev_acc_tr, prev_acc_va = 0.0, 0.0 for epoch in self._train(iter_funcs, data_pools, training_strategy.build_train_batch_iterator(), training_strategy.build_valid_batch_iterator(), training_strategy.report_dices): print("Epoch {} of {} took {:.3f}s".format(epoch['number'], training_strategy.max_epochs, time.time() - now)) now = time.time() # --- collect train output --- tr_loss, va_loss = epoch['train_loss'], epoch['valid_loss'] train_acc, valid_acc = epoch['train_acc'], epoch['valid_acc'] train_dices, valid_dices = epoch['train_dices'], epoch['valid_dices'] overfit = epoch['overfitting'] # prepare early stopping improvement = va_loss < prev_va_loss if improvement: last_improvement = 0 best_model = lasagne.layers.get_all_param_values(self.net) best_epoch = epoch['number'] # dump net parameters during training if dump_file is not None: with open(dump_file, 'wb') as fp: pickle.dump(best_model, fp) last_improvement += 1 # print train output txt_tr = 'costs_tr %.5f ' % tr_loss if tr_loss < prev_tr_loss: txt_tr = col.print_colored(txt_tr, BColors.OKGREEN) prev_tr_loss = tr_loss txt_tr_acc = '(%.3f)' % train_acc if train_acc > prev_acc_tr: txt_tr_acc = col.print_colored(txt_tr_acc, BColors.OKGREEN) prev_acc_tr = train_acc txt_tr += txt_tr_acc + ', ' txt_val = 'costs_val %.5f ' % va_loss if va_loss < prev_va_loss: txt_val = col.print_colored(txt_val, BColors.OKGREEN) prev_va_loss = va_loss txt_va_acc = '(%.3f)' % valid_acc if valid_acc > prev_acc_va: txt_va_acc = col.print_colored(txt_va_acc, BColors.OKGREEN) prev_acc_va = valid_acc txt_val += txt_va_acc + ', ' print(' lr: %.5f' % learn_rate) print(' ' + txt_tr + txt_val + 'tr/val %.3f' % overfit) # report dice coefficients if training_strategy.report_dices: train_str = ' train |' for key in np.sort(train_dices.keys()): train_str += ' %.2f: %.3f |' % (key, train_dices[key]) print(train_str) train_acc = np.max(train_dices.values()) valid_str = ' valid |' for key in np.sort(valid_dices.keys()): txt_va_dice = ' %.2f: %.3f |' % (key, valid_dices[key]) if valid_dices[key] > best_va_dice and valid_dices[key] == np.max(valid_dices.values()): best_va_dice = valid_dices[key] txt_va_dice = col.print_colored(txt_va_dice, BColors.OKGREEN) valid_str += txt_va_dice print(valid_str) valid_acc = np.max(valid_dices.values()) # collect model evolution data tr_accs.append(train_acc) va_accs.append(valid_acc) pred_tr_err.append(tr_loss) pred_val_err.append(va_loss) overfitting.append(overfit) # save results exp_res = dict() exp_res['pred_tr_err'] = pred_tr_err exp_res['tr_accs'] = tr_accs exp_res['pred_val_err'] = pred_val_err exp_res['va_accs'] = va_accs exp_res['overfitting'] = overfitting if log_file is not None: with open(log_file, 'wb') as fp: pickle.dump(exp_res, fp) # --- early stopping: preserve best model --- if last_improvement > training_strategy.patience: print(col.print_colored("Early Stopping!", BColors.WARNING)) status = "Epoch: %d, Best Validation Loss: %.5f: Acc: %.5f" % ( best_epoch, prev_va_loss, prev_acc_va) print(col.print_colored(status, BColors.WARNING)) if training_strategy.refinement_strategy.n_refinement_steps <= 0: break else: status = "Resetting to best model so far and refining with adopted learn rate." print(col.print_colored(status, BColors.WARNING)) # reset net to best weights lasagne.layers.set_all_param_values(self.net, best_model) # update learn rate learn_rate = training_strategy.refinement_strategy.adapt_learn_rate(learn_rate) last_improvement = 0 training_strategy.patience = training_strategy.refinement_strategy.refinement_patience # maximum number of epochs reached if epoch['number'] >= training_strategy.max_epochs: break # update learning rate learn_rate = training_strategy.adapt_learn_rate(learn_rate, epoch['number']) learning_rate.set_value(learn_rate) except KeyboardInterrupt: pass # set net to best weights lasagne.layers.set_all_param_values(self.net, best_model) def predict_proba(self, input): """ Predict on test samples """ # prepare input for prediction if not isinstance(input, list): input = [input] # reshape to network input if input[0].ndim < len(self.input_shape): input[0] = input[0].reshape([1] + list(input[0].shape)) if self.compute_output is None: self.compute_output = self._compile_prediction_function() return self.compute_output(*input) def predict(self, input): """ Predict class labels on test samples """ return np.argmax(self.predict_proba(input), axis=1) def compute_layer_output(self, input, layer): """ Compute output of given layer layer: either a string (name of layer) or a layer object """ # prepare input for prediction if not isinstance(input, list): input = [input] # reshape to network input if input[0].ndim < len(self.input_shape): input[0] = input[0].reshape([1] + list(input[0].shape)) # get layer by name if not isinstance(layer, lasagne.layers.Layer): for l in lasagne.layers.helper.get_all_layers(self.net): if l.name == layer: layer = l break # compile prediction function for target layer if layer not in self.compute_output_dict: self.compute_output_dict[layer] = self._compile_prediction_function(target_layer=layer) return self.compute_output_dict[layer](*input) def save(self, file_path): """ Save model to disk """ with open(file_path, 'w') as fp: params = lasagne.layers.get_all_param_values(self.net) pickle.dump(params, fp, -1) def load(self, file_path): """ load model from disk """ with open(file_path, 'rb') as fp: params = pickle.load(fp) lasagne.layers.set_all_param_values(self.net, params) def _compile_prediction_function(self, target_layer=None): """ Compile theano prediction function """ # collect input vars all_layers = lasagne.layers.helper.get_all_layers(self.net) input_vars = [] for l in all_layers: if isinstance(l, lasagne.layers.InputLayer): input_vars.append(l.input_var) # get network output nad compile function if target_layer is None: target_layer = self.net net_output = lasagne.layers.get_output(target_layer, deterministic=True) return theano.function(inputs=input_vars, outputs=net_output) def _create_iter_functions(self, y_tensor_type, objective, learning_rate, l_2, compute_updates, use_weights, use_mask): """ Create functions for training, validation and testing to iterate one epoch. """ # init target tensor targets = y_tensor_type('y') weights = y_tensor_type('w').astype("float32") # get input layer all_layers = lasagne.layers.helper.get_all_layers(self.net) # collect input vars input_vars = [] for l in all_layers: if isinstance(l, lasagne.layers.InputLayer): input_vars.append(l.input_var) # compute train costs tr_output = lasagne.layers.get_output(self.net, deterministic=False) if use_weights or use_mask: tr_cost = objective(tr_output, targets, weights) tr_input = input_vars + [targets, weights] else: tr_cost = objective(tr_output, targets) tr_input = input_vars + [targets] # regularize RNNs for l in all_layers: # if l.name == "norm_reg_rnn": # # H = lasagne.layers.get_output(l, deterministic=False) # H_l2 = T.sqrt(T.sum(H ** 2, axis=-1)) # norm_diffs = (H_l2[:, 1:] - H_l2[:, :-1]) ** 2 # norm_preserving_loss = T.mean(norm_diffs) # # beta = 1.0 # tr_cost += beta * norm_preserving_loss if l.name == "norm_reg_rnn": H = lasagne.layers.get_output(l, deterministic=False) steps = T.arange(1, l.output_shape[1]) def compute_norm_diff(k, H): n0 = ((H[:, k - 1, :]) ** 2).sum(1).sqrt() n1 = ((H[:, k, :]) ** 2).sum(1).sqrt() return (n1 - n0) ** 2 norm_diffs, _ = theano.scan(fn=compute_norm_diff, outputs_info=None, non_sequences=[H], sequences=[steps]) beta = 1.0 norm_preserving_loss = T.mean(norm_diffs) tr_cost += beta * norm_preserving_loss else: pass # compute validation costs va_output = lasagne.layers.get_output(self.net, deterministic=True) #va_output_stochastic = lasagne.layers.get_output(self.net, deterministic=False) # estimate accuracy if y_tensor_type == T.ivector: va_acc = 100.0 * T.mean(T.eq(T.argmax(va_output, axis=1), targets), dtype=theano.config.floatX) tr_acc = 100.0 * T.mean(T.eq(T.argmax(tr_output, axis=1), targets), dtype=theano.config.floatX) else: va_acc, tr_acc = None, None # collect all parameters of net and compute updates all_params = lasagne.layers.get_all_params(self.net, trainable=True) # add weight decay if l_2 is not None: all_layers = lasagne.layers.get_all_layers(self.net) tr_cost += l_2 * lasagne.regularization.regularize_layer_params(all_layers, lasagne.regularization.l2) # compute updates all_grads = lasagne.updates.get_or_compute_grads(tr_cost, all_params) updates = compute_updates(all_grads, all_params, learning_rate) # compile iter functions tr_outputs = [tr_cost, tr_output] if tr_acc is not None: tr_outputs.append(tr_acc) iter_train = theano.function(tr_input, tr_outputs, updates=updates) if use_mask: va_inputs = input_vars + [targets, weights] va_cost = objective(va_output, targets, weights) else: va_inputs = input_vars + [targets] va_cost = objective(va_output, targets) va_outputs = [va_cost, va_output] if va_acc is not None: va_outputs.append(va_acc) iter_valid = theano.function(va_inputs, va_outputs ) return dict(train=iter_train, valid=iter_valid, test=iter_valid) def _train(self, iter_funcs, data_pools, train_batch_iter, valid_batch_iter, estimate_dices): """ Train the model with `dataset` with mini-batch training. Each mini-batch has `batch_size` recordings. """ col = BColors() from lasagne_wrapper.segmentation_utils import dice for epoch in itertools.count(1): # evaluate various thresholds if estimate_dices: threshs = [0.3, 0.4, 0.5, 0.6, 0.7] tr_dices = dict() for thr in threshs: tr_dices[thr] = [] va_dices = dict() for thr in threshs: va_dices[thr] = [] else: tr_dices = None va_dices = None # iterate train batches batch_train_losses, batch_train_accs = [], [] iterator = train_batch_iter(data_pools['train']) generator = threaded_generator_from_iterator(iterator) batch_times = np.zeros(5, dtype=np.float32) start, after = time.time(), time.time() for i_batch, train_input in enumerate(generator): batch_res = iter_funcs['train'](*train_input) batch_train_losses.append(batch_res[0]) # collect classification accuracies if len(batch_res) > 2: batch_train_accs.append(batch_res[2]) # estimate dices for various thresholds if estimate_dices: y_b = train_input[1] pred = batch_res[1] for thr in threshs: for i in xrange(pred.shape[0]): seg = pred[i, 0] > thr tr_dices[thr].append(100 * dice(seg, y_b[i, 0])) # train time batch_time = time.time() - after after = time.time() train_time = (after - start) # estimate updates per second (running avg) batch_times[0:4] = batch_times[1:5] batch_times[4] = batch_time ups = 1.0 / batch_times.mean() # report loss during training perc = 100 * (float(i_batch) / train_batch_iter.n_batches) dec = int(perc // 4) progbar = "|" + dec * "#" + (25 - dec) * "-" + "|" vals = (perc, progbar, train_time, ups, np.mean(batch_train_losses)) loss_str = " (%d%%) %s time: %.2fs, ups: %.2f, loss: %.5f" % vals print(col.print_colored(loss_str, col.WARNING), end="\r") sys.stdout.flush() # print("\x1b[K", end="\r") print(' ') print(' ') avg_train_loss = np.mean(batch_train_losses) avg_train_acc = np.mean(batch_train_accs) if len(batch_train_accs) > 0 else 0.0 if estimate_dices: for thr in threshs: tr_dices[thr] = np.mean(tr_dices[thr]) # evaluate classification power of data set # iterate validation batches batch_valid_losses, batch_valid_accs = [], [] iterator = valid_batch_iter(data_pools['valid']) generator = threaded_generator_from_iterator(iterator) for va_input in generator: batch_res = iter_funcs['valid'](*va_input) batch_valid_losses.append(batch_res[0]) # collect classification accuracies if len(batch_res) > 2: batch_valid_accs.append(batch_res[2]) # estimate dices for various thresholds if estimate_dices: y_b = va_input[1] pred = batch_res[1] for thr in threshs: for i in xrange(pred.shape[0]): seg = pred[i, 0] > thr va_dices[thr].append(100 * dice(seg, y_b[i, 0])) avg_valid_loss = np.mean(batch_valid_losses) avg_valid_accs = np.mean(batch_valid_accs) if len(batch_valid_accs) > 0 else 0.0 if estimate_dices: for thr in threshs: va_dices[thr] = np.mean(va_dices[thr]) # collect results yield { 'number': epoch, 'train_loss': avg_train_loss, 'train_acc': avg_train_acc, 'valid_loss': avg_valid_loss, 'valid_acc': avg_valid_accs, 'valid_dices': va_dices, 'train_dices': tr_dices, 'overfitting': avg_train_loss / avg_valid_loss, } class SegmentationNetwork(Network): """ Segmentation Neural Network """ def predict_proba(self, input, squeeze=True): """ Predict on test samples """ if self.compute_output is None: self.compute_output = self._compile_prediction_function() # get network input shape l_in = lasagne.layers.helper.get_all_layers(self.net)[0] in_shape = l_in.output_shape[-2::] # standard prediction if input.shape[-2::] == in_shape: proba = self.compute_output(input) # sliding window prediction if images do not match else: proba = self._predict_proba_sliding_window(input) if squeeze: proba = proba.squeeze() return proba def predict(self, input, thresh=0.5): """ Predict label map on test samples """ P = self.predict_proba(input, squeeze=False) # binary segmentation if P.shape[1] == 1: return (P > thresh).squeeze() # categorical segmentation else: return np.argmax(P, axis=1).squeeze() def _predict_proba_sliding_window(self, images): """ Sliding window prediction for images larger than the input layer """ n_images = images.shape[0] h, w = images.shape[2:4] _, Nc, sh, sw = self.net.output_shape step_h = sh // 2 step_w = sw // 2 row_0 = np.arange(0, h - step_h, step_h) row_1 = row_0 + sh shift = h - row_1[-1] row_0[-1] += shift row_1[-1] += shift col_0 = np.arange(0, w - step_w, step_w) col_1 = col_0 + sw shift = w - col_1[-1] col_0[-1] += shift col_1[-1] += shift # initialize result image R = np.zeros((n_images, Nc, h, w)) V = np.zeros((n_images, Nc, h, w)) for ir in xrange(len(row_0)): for ic in xrange(len(col_0)): I = images[:, :, row_0[ir]:row_1[ir], col_0[ic]:col_1[ic]] # predict on test image P = self.predict_proba(I, squeeze=False) R[:, :, row_0[ir]:row_1[ir], col_0[ic]:col_1[ic]] += P V[:, :, row_0[ir]:row_1[ir], col_0[ic]:col_1[ic]] += 1 # normalize predictions R /= V return R

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855b87e90d7767aa432b88650d3ba038a52c8ab6

2,195

py

Python

src/ConnectSignal/SelectModeRadioAndCombo.py

Lovely-XPP/tkzgeom

bf68e139dc05f759542d6611f4dc07f4f2727b92

[ "MIT" ]

41

2021-11-24T05:54:08.000Z

2022-03-26T10:19:30.000Z

src/ConnectSignal/SelectModeRadioAndCombo.py

Lovely-XPP/tkzgeom

bf68e139dc05f759542d6611f4dc07f4f2727b92

[ "MIT" ]

1

2022-02-28T04:34:51.000Z

2022-03-07T10:49:27.000Z

src/ConnectSignal/SelectModeRadioAndCombo.py

Lovely-XPP/tkzgeom

bf68e139dc05f759542d6611f4dc07f4f2727b92

[ "MIT" ]

10

2021-11-24T07:35:17.000Z

2022-03-25T18:42:14.000Z

def point_radio_func(main_window): """Connect point radio button.""" main_window.scene.select_mode.set_mode(0, main_window.point_combo.currentIndex(), True) print(main_window.scene.select_mode.get_type()) def segment_radio_func(main_window): """Connect segment radio button.""" main_window.scene.select_mode.set_mode(1, 0, True) print(main_window.scene.select_mode.get_type()) def circle_radio_func(main_window): """Connect circle radio button.""" main_window.scene.select_mode.set_mode(2, main_window.circle_combo.currentIndex(), True) print(main_window.scene.select_mode.get_type(), True) def polygon_radio_func(main_window): """Connect polygon radio button.""" main_window.scene.select_mode.set_mode(1, 1, True) print(main_window.scene.select_mode.get_type()) def linestring_radio_func(main_window): """Connect linestring radio button.""" main_window.scene.select_mode.set_mode(1, 2, True) print(main_window.scene.select_mode.get_type()) def angle_radio_func(main_window): """Connect angle radio button.""" main_window.scene.select_mode.set_mode(4, 0, True) print(main_window.scene.select_mode.get_type()) def right_angle_radio_func(main_window): """Connect right angle radio button.""" main_window.scene.select_mode.set_mode(4, 1, True) print(main_window.scene.select_mode.get_type()) def cloud_radio_func(main_window): """Connect point cloud radio button.""" main_window.scene.select_mode.set_mode(6, main_window.cloud_combo.currentIndex(), True) print(main_window.scene.select_mode.get_type(), True) def point_combo_func(value, main_window): """Connect point comboBox.""" main_window.scene.select_mode.set_mode(0, value, False) print(main_window.scene.select_mode.get_type()) def circle_combo_func(value, main_window): """Connect circle comboBox.""" main_window.scene.select_mode.set_mode(2, value, False) print(main_window.scene.select_mode.get_type()) def cloud_combo_func(value, main_window): """Connect point cloud comboBox.""" main_window.scene.select_mode.set_mode(6, value, False) print(main_window.scene.select_mode.get_type())

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7

a457e611146932e8bf2c7117e78e5aedd91a2ebe

7,360

py

Python

cubepy/test/test_factory.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

17

2019-12-04T19:22:19.000Z

2021-07-28T11:17:05.000Z

cubepy/test/test_factory.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

9

2019-12-13T15:34:43.000Z

2022-02-10T11:43:00.000Z

cubepy/test/test_factory.py

jorgedouglas71/pyplan-ide

5ad0e4a2592b5f2716ff680018f717c65de140f5

[ "MIT" ]

5

2019-12-04T15:57:06.000Z

2021-08-20T19:59:26.000Z

import unittest import cubepy.factory as cp class FactoryTests(unittest.TestCase): indexA = cp.index("IndexA", ['Item A '+str(xx) for xx in range(1,21)]) indexB = cp.index("IndexB", ['Item B '+str(xx) for xx in range(1,31)]) indexC = cp.index("IndexC", ['Item C '+str(xx) for xx in range(1,41)]) cube1 = cp.cube([indexA, indexB],[[42,78,96,48,86,42,32,84, 4,26,61,55,85,72,48,96,97,82, 5,28,47,99,94,58, 11,87,97,20,30,52], [37,83,28, 2,75,56,72,24,72,21,71,93,83,43,44, 3,34,19,73,16,58, 9,46,33, 81,44,67,83,69,20], [61,41,55,31,78,43,43,86,71,44,64,79,98,31,78, 1,69,76,26,37,48,66,51,37, 57,50,66,35,43,88], [16,51,28,78,80, 9,57,11,19,69,29,52,29,45, 8,28,90,18,64,33,21,36,31,21, 97,90, 7,20,29,21], [18,73, 4,84,13,73,85,65,27,14,68, 8,21,49,19,64,37, 3,19,33,48, 6,24,57, 65,88,24,67,65,42], [49, 4,80, 6,71, 8,15,52,27,11,80,36, 4,33,77,49,77,89,16, 1,15,67,88,64, 23, 0,78,39,24,45], [62,53,49,50,56,19,44,70, 5,45,35,95,93,21,13,42,53,86,78,64,86,31,14,28, 33,23,81,44,56,58], [ 4,17,89, 6,36,87, 9,13,82, 2,21,69,16,40,96, 1,75, 2,19,41,34, 9,40,57, 4,17,34,37,97,74], [32,97, 2,20,61,38,25,90,19,60,68,54,85,78,46,36,21,64,17,98,82,85,40,81, 91,84,28,79,85,72], [60,25,56,26, 2,13,74,45,10,97,75,73,40,32,73,22,50,22, 4,19,66,78,64,14, 11, 2,99, 9,52,31], [83,42,36,45,28,88,74,82,34,49,93,59,88,59,25,91,29,93,68,34, 9,90,18,48, 57,16,58,67,81,48], [23,81, 6,85,96,98,92,28,18, 9,15,65,75,54,22,13,32,38,69,56,39,90,43,34, 93,45,74,80, 9,64], [94,28,63,77,96,33,75,23, 1, 9,61, 2,47,28,19,41,71, 5,93,68,79,39,51,51, 18,32,94,92,19,63], [28,28,10,75,30,49,10,64,17,51,28,26,41, 5,34,29,50,92,37, 8,29,89,49,76, 5,53,63,96,86,19], [74,67, 8,59,78,27,70,30,15,17,46,36,41,45, 3,25, 1,73,23,77,24, 4,28,89, 96,47,63,28, 8,89], [96,97,97,14,31,69,91,71,13,23,87,57,50,14, 7,34,17,63,51,88,46,82,27,43, 58,29,11,16, 5,22], [ 9, 3,68,93,18,71,53,10,54,40,88,14,54,67,15,71,28,45,74,63,21,50,63,78, 95,15,34,83,56,95], [56,53,30,37, 0,72,85,71,77, 3,30,34, 9,15,69,44,91, 5,43,13,72,41,45,21, 84,92,46, 0,60,15], [13,40,97,37,76,93,18,88,51,93, 8,83,97,78,22,42,73,51,16, 6,70,15, 3,49, 43, 4,60,88,28,65], [98,62,12,83,56,33,59,13,10,17,37, 7,84,10,87,28, 2,43, 8,80,69,60,43, 5, 40,54,33,71,13,74]]) cube2 = cp.cube([indexB, indexC],[[60, 9, 0,28,60,24,58,64,76,84,59,26,79,82, 7,58,85,57,13,69,87,14,23,53, 10,24,16, 0,32, 4,89,75,10,96,20,91,40,71,17,60], [86,52,66,37,62,12,11,77,51,13,98,32,65,76,28,85,17, 4,18,74,44,58,36,17, 63,92,20,91,64,41, 5,67,66,84,16,17,37,68,92,85], [69,40,22,14,85,35,97,46,48,72, 3,80, 0,26,68,35,79,61,83,87,10,87,46,86, 2,18, 7,92,86,87,21,37,65,11,35,18,26,16,23,55], [ 2,86,88,38,87,70,12, 4,85,95,36,12,57,64,98,60,62,25,90,73,53,75,12,21, 54,34,43,59,67,58,90,71,50,84,64,83,33,52,49,68], [71,63,41,91,46,67,47,31,45,59,64,92,88, 4,31,15,29,59,94,45,31,52,57,26, 58,98,97,24,29, 2,87,48,61,74,76,92,57,73,22,10], [27,97,93, 6,98,24,63,72,36,31,38, 4,11,76,53,73,52, 6,54,46, 9,31,73,73, 13,95,64,43,10,73, 6,23,40,47,32,36,71, 2,19,50], [ 8,54,76,25,38,13,75,92,67,42,68,52,99,47,18,28,97,93,68, 4, 7, 5,47, 9, 65,33,65,89,67,85,97,91,85,14,42,71,25,90,24,38], [31,32,47,56,45,86,45,90,87,77,11,76,46, 4,74,73,77,39,81,84,58,28,23,51, 48,15,64,20,16,66,19, 0,93,65,37,77,74,97,52,85], [86,11,21,28,53,77,35, 5,42,11,19,77, 4,15,76,82,62, 9, 0,45,21,30,47,87, 38,75,58,51,99,27,31,47,49,26,69,39,19,12,77,16], [ 6, 7,99,45,12,36,91,23,42, 6,10,82,80,81,18,24,28,75,82,67,20,41,69,41, 88,83,72,40,21, 9, 6,27,21,79, 7, 9,44,36,94,54], [88,35,67,31,97,33,13,48,44,34, 7,37,46,98, 6,62,34,26, 5,68,72,17,59,84, 68, 2, 0,72, 3, 0,88,19,38,80, 2,50, 8,94,23,81], [55,30,83,96,60,12,56,60,35,79,26,34,56,63,49,60,87,63,90,42,95,71,48,89, 85,29,87,60,33, 5,24,38,43, 5,21,27,81,87, 8,83], [67,96,29,72,94,25,45,12,54,24,39, 7,37,65,52,98,56,14,33,88,88,73,43,53, 34,94, 5,18,65,51,31,69,38, 2,84,46,66,16,13, 0], [23,99,45,46,54,46,80,36,94,34,94,60,56,92, 2,15,75,29, 8,93,11,79,21, 6, 38,67, 4,13, 6,14,64,47,46,63,67,27,10,44,83, 8], [44, 2,62,31,88,39, 4, 7,45,75,14,15,60, 1,63,93,96,74,83,88,22,22,13,28, 76,72, 9,28,22, 4,36,43,34,36,74,10, 1,70,41,74], [30,75,69,75,83,54,76,90, 9,56, 9,46,25, 2,53,89,76,98,81,99,11,59,19,30, 99,48,23,30,28,56,74,58,95,71,35,40,56,81, 0,30], [41,93,67,11,67,66,32,42,85,43,85,21, 2,88,65,33,84,81,96,39,42,61,80,18, 56,45,60,11,49, 4, 9,33,57,37,43,84,29,42,88, 1], [22,58,72, 5,93,24,72,36,10,14,62,86,63,27,66,95,73,17,80,14, 9,67,42,98, 27,92,55,85,12,16,40,36,20,91,95,51,74,43, 1,37], [64,79, 3,95,25, 5,31,84,27,86,29,46,83,88,17,33,93,91,10,83, 4,14,73,73, 5,91,33,24, 0,97,28,70,66,29,46,40, 2,25,90,20], [70,71,85,37, 9,32,17,43,65,41,11,16,73,24,44,50,51,13,70,78,90,53,95,49, 39,86,78,44,19,87,99,29,44,38,31,12,18,42,50,66], [16,47,12,91,43,58,85,66,34, 0,16, 9,26,33,50,94,93,74,97,12,30,70,15, 1, 19, 9,98,55, 1,44,53,47,35,48,18,19,17,29,62, 1], [63,19,84,27, 0,26,99,82,81,27,73,44,27,95, 9,75,32,36,18, 6,14,74,98,32, 15,21, 9,46,62,32,21,37,80,71,34,40,53,25,33, 9], [58,23,92,59,43,69,80,41,26,74,16,47, 0,92, 4,11,91, 0,39, 5,11,42,34,60, 84,13,49,67,33,21,37,37, 8,45,79,15,37,15,37,84], [64,62,97,26,51,94,90,79,10,81,35,57,69,60, 7,69,13,42,95,47,93,61,54,60, 32,27,25,94,16,86,16,39,57, 6,79,50,54,63,21,19], [80,87,99, 8,69,90,50,93,84,91,56,80,10,70,85,37,17,23,46,76,97,54, 5,40, 88,87, 5,50,28,50,16,42,50,13, 1,96, 7,63,29,69], [ 7,68,89,12,42,98,68,83,86,23,31,69,84,69,21, 6,76,70, 6,53,44, 2,13,21, 8,40,35,66,34,17,83,18,25,95,49,33,33,25,97,49], [66,81,43,26,44,53,82,78,69,61,31,85,13,73,54,54,87,53,96,82,47,39,70,84, 75,67,32,13,62, 1,78,58,92,67,15,23,98,93,31,60], [84,53,72,54,12,44, 0,62,46,75,90,91,85,37,45,63,23,74,36,41,44,17,80,68, 76,57,40,14,64,13,92,75,70,76,60,65,91,86,23,99], [87,21,25,76,97,76,75,55,62,15,76,40,86,26, 5,21,92, 7,75,96,17,55,28,49, 51,16,40,48,71,74, 7,55,33,61, 2,48,76,33,21,46], [33, 6,32,32, 8,65,34,12,13,23,55,25,89, 5,22,83,40,55,48,46,18,21,31,23, 64,68,78,86,66,77,27,61,66,89,71,29,95,73,79,79]]) def test_find(self): tmp = cp.cube([self.indexA],[False, False, False, False, False, False, False, False, False, True, False, False, False, False,False, False, False, False, False, True]) res = cp.find("0", self.indexA, cp.end_with) == tmp self.assertTrue( res.any()) subA = cp.index("SubA",['Item A '+str(xx) for xx in range(10,16)]) tmp= cp.cube([self.indexA, subA],[[ True, True, True, True, True, True], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [ True,False,False,False,False,False], [False, True,False,False,False,False], [False,False, True,False,False,False], [False,False,False, True,False,False], [False,False,False,False, True,False], [False,False,False,False,False, True], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False], [False,False,False,False,False,False]]) res = cp.find(self.indexA, subA, cp.end_with) == tmp self.assertTrue( res.any())

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null

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7

a464c0552ece56a828b7fabe69ac0521055c3227

10,575

py

Python

crm/migrations/0001_initial.py

ondrejsika/webtime_crm

71fa61ae43307f99491ac65c751b9e1a521e5480

[ "MIT" ]

1

2016-10-26T12:13:05.000Z

crm/migrations/0001_initial.py

ondrejsika/webtime_crm

71fa61ae43307f99491ac65c751b9e1a521e5480

[ "MIT" ]

9

2016-11-01T11:17:41.000Z

2017-04-13T12:32:00.000Z

crm/migrations/0001_initial.py

ondrejsika/sikacrm

71fa61ae43307f99491ac65c751b9e1a521e5480

[ "MIT" ]

null

# -*- coding: utf-8 -*- # Generated by Django 1.10.3 on 2016-12-22 08:06 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Account', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('name', models.CharField(max_length=32)), ('company_id', models.CharField(blank=True, max_length=32, null=True)), ('vat_id', models.CharField(blank=True, max_length=32, null=True)), ('contact_address', models.TextField(blank=True, null=True)), ('billing_address', models.TextField(blank=True, null=True)), ('email', models.EmailField(blank=True, max_length=254, null=True)), ('phone', models.CharField(blank=True, max_length=16, null=True)), ('www', models.URLField(blank=True, null=True)), ('note', models.TextField(blank=True, null=True)), ('last_activity', models.DateField(blank=True, null=True)), ('next_activity', models.DateField(blank=True, null=True)), ('owner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Case', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('state', models.CharField(choices=[('new', 'New'), ('in_progress', 'In progress'), ('approved', 'Approved'), ('done', 'Done'), ('cancelled', 'Cancelled')], default='new', max_length=16)), ('name', models.CharField(blank=True, max_length=32, null=True)), ('description', models.TextField(blank=True, null=True)), ('note', models.TextField(blank=True, null=True)), ('account', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Account')), ('owner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Contact', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('name', models.CharField(max_length=32)), ('email', models.EmailField(blank=True, max_length=254, null=True)), ('phone', models.CharField(blank=True, max_length=16, null=True)), ('www', models.URLField(blank=True, null=True)), ('note', models.TextField(blank=True, null=True)), ('account', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Account')), ('owner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Contract', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('start_at', models.DateField()), ('price', models.IntegerField()), ('length', models.IntegerField(help_text='Length in hours, day=8h')), ('name', models.CharField(blank=True, max_length=32, null=True)), ('description', models.TextField(blank=True, null=True)), ('note', models.TextField(blank=True, null=True)), ('account', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Account')), ('case', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Case')), ('owner', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Email', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('message_id', models.CharField(max_length=256)), ('date', models.DateTimeField()), ('email_from', models.CharField(blank=True, max_length=256, null=True)), ('email_to', models.CharField(blank=True, max_length=256, null=True)), ('folder', models.CharField(choices=[('inbox', 'Inbox'), ('outbox', 'Outbox')], max_length=16)), ('subject', models.CharField(blank=True, max_length=256, null=True)), ('body', models.TextField(blank=True, null=True)), ], options={ 'ordering': ('-date',), }, ), migrations.CreateModel( name='EmailAccount', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('email', models.EmailField(max_length=254)), ('smtp_host', models.CharField(blank=True, max_length=64, null=True)), ('smtp_port', models.IntegerField(blank=True, null=True)), ('smtp_user', models.CharField(blank=True, max_length=64, null=True)), ('smtp_password', models.CharField(blank=True, max_length=64, null=True)), ('smtp_tls', models.BooleanField(default=True)), ('imap_host', models.CharField(blank=True, max_length=64, null=True)), ('imap_port', models.IntegerField(blank=True, null=True)), ('imap_user', models.CharField(blank=True, max_length=64, null=True)), ('imap_password', models.CharField(blank=True, max_length=64, null=True)), ('imap_tls', models.BooleanField(default=True)), ('user', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='EmailAccountFolder', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('folder', models.CharField(max_length=64)), ('last_id', models.IntegerField(blank=True, null=True)), ('email_account', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='folder_set', to='crm.EmailAccount')), ], ), migrations.CreateModel( name='EmailConversation', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('name', models.CharField(blank=True, max_length=64, null=True)), ('case', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Case')), ('email_account', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='email_conversation_set', to='crm.EmailAccount')), ], ), migrations.CreateModel( name='EmailConversationReference', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('created', models.DateTimeField(auto_now_add=True)), ('reference', models.CharField(db_index=True, max_length=256)), ('email_conversation', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.EmailConversation')), ], ), migrations.CreateModel( name='Tag', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=32)), ], ), migrations.AddField( model_name='emailconversation', name='tag', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Tag'), ), migrations.AddField( model_name='email', name='email_account', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, related_name='email_set', to='crm.EmailAccount'), ), migrations.AddField( model_name='email', name='email_conversation', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='crm.EmailConversation'), ), migrations.AddField( model_name='contract', name='tag', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Tag'), ), migrations.AddField( model_name='contact', name='tag', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Tag'), ), migrations.AddField( model_name='case', name='tag', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Tag'), ), migrations.AddField( model_name='account', name='tag', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='crm.Tag'), ), ]

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0.592435

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10,575

5.420586

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0.068096

0.089049

0.813063

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0.783434

0.721067

0.694876

0

0.010164

0.255697

10,575

188

205

56.25

0.765976

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0

0.616667

1

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0.008568

0

1

0

false

0.011111

0.022222

0

0.044444

0

null

0

1

0

1

0

null

0

7

f11721650b9d3752c3eefb7fd4baee3075d26bdf

106

py

Python

vendor-local/lib/python/django_browserid/__init__.py

Koenkk/popcorn_maker

0978b9f98dacd4e8eb753404b24eb584f410aa11

[ "BSD-3-Clause" ]

15

2015-03-23T02:55:20.000Z

2021-01-12T12:42:30.000Z

vendor-local/lib/python/django_browserid/__init__.py

Koenkk/popcorn_maker

0978b9f98dacd4e8eb753404b24eb584f410aa11

[ "BSD-3-Clause" ]

null

vendor-local/lib/python/django_browserid/__init__.py

Koenkk/popcorn_maker

0978b9f98dacd4e8eb753404b24eb584f410aa11

[ "BSD-3-Clause" ]

16

2015-02-18T21:43:31.000Z

2021-11-09T22:50:03.000Z

from django_browserid.auth import BrowserIDBackend from django_browserid.base import get_audience, verify

35.333333

54

0.886792

14

106

6.5

0.714286

0.21978

0.417582

0

0.084906

106

2

55

53

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0

1

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true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

74dcf024d43a34377d6f55e552a2a3c65824cc72

89

py

Python

backend/src/pox/ext/gini/core/info_packet_dump.py

anrl/gini4

d26649c8c02a1737159e48732cf1ee15ba2a604d

[ "MIT" ]

11

2019-03-02T20:39:34.000Z

2021-09-02T19:47:38.000Z

backend/src/pox/ext/gini/core/info_packet_dump.py

anrl/gini4

d26649c8c02a1737159e48732cf1ee15ba2a604d

[ "MIT" ]

29

2019-01-17T15:44:48.000Z

2021-06-02T00:19:40.000Z

backend/src/pox/ext/gini/core/info_packet_dump.py

anrl/gini4

d26649c8c02a1737159e48732cf1ee15ba2a604d

[ "MIT" ]

11

2019-01-28T05:00:55.000Z

2021-11-12T03:08:32.000Z

#!/usr/bin/python2 from info import packet_dump def launch(): packet_dump.launch()

12.714286

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7

776c07ddfb277b6e527e08c405691d275819738a

5,874

py

Python

global_cache_control/ac_control.py

LBNL-ETA/LPDM-Drivers

0190ecb1348b10d5fb7c5b60ca30ebbbbebe094e

[ "BSD-3-Clause-LBNL" ]

null

global_cache_control/ac_control.py

LBNL-ETA/LPDM-Drivers

0190ecb1348b10d5fb7c5b60ca30ebbbbebe094e

[ "BSD-3-Clause-LBNL" ]

null

global_cache_control/ac_control.py

LBNL-ETA/LPDM-Drivers

0190ecb1348b10d5fb7c5b60ca30ebbbbebe094e

[ "BSD-3-Clause-LBNL" ]

null

################################################################################################################################ # *** Copyright Notice *** # # "Price Based Local Power Distribution Management System (Local Power Distribution Manager) v1.0" # Copyright (c) 2016, The Regents of the University of California, through Lawrence Berkeley National Laboratory # (subject to receipt of any required approvals from the U.S. Dept. of Energy). All rights reserved. # # If you have questions about your rights to use or distribute this software, please contact # Berkeley Lab's Innovation & Partnerships Office at IPO@lbl.gov. ################################################################################################################################ from global_cache_controls import GlobalCacheBridge #Not all codes are trimmed properly. They all work, but some are extremely slow. class ACController: def __init__(self, bridge, emitter=1, on=False, mode='off', temp=72, speed='low', timer=0): self.bridge = bridge self.emitter = 1 self.on = on self.mode = mode self.temp = temp self.speed = speed self.timer = timer def power(self): "Sends the power function" self.on = not self.on return self.bridge.sendir(1, '1,1,38343,1,1,345,171,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,64,22,64,22,21,22,64,22,64,22,63,22,1561,342,86,22,3800') def temp_timer_up(self): "Sends the up function" if self.mode == 'timer': self.timer += 1 else: self.temp += 1 return self.bridge.sendir(1, '1,1,38343,1,1,345,172,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,21,22,64,22,64,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,64,22,64,22,64,22,63,22,1562,342,86,22,3670,340,86,22,3670,340,86,22,3670,340,86,22,3800') def temp_timer_down(self): "Sends the down function" if self.mode == 'timer': self.timer -= 1 else: self.temp -= 1 return self.bridge.sendir(1, '1,4,38343,1,1,342,172,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,21,22,64,22,64,22,21,22,21,22,21,22,21,22,21,22,64,22,21,22,21,22,64,22,64,22,64,22,63,22,1562,342,86,22,3670,340,86,22,3670,340,86,22,3670,340,86,22,3670,340,86,22,3800') def fan_slower(self): "Sends the fan slower function" if self.speed == 'high': self.speed = 'low' return self.bridge.sendir(1, '1,1,38343,1,1,343,171,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,21,22,64,22,64,22,21,22,64,22,64,22,64,22,64,22,63,22,3800') def fan_faster(self): "Sends the fan faster function" if self.speed == 'low': self.speed = 'high' return self.bridge.sendir(1, '1,1,38343,1,1,341,171,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,64,22,64,22,64,22,64,22,64,22,64,22,63,22,1563,342,86,22,3672,340,86,22,3671,340,86,22,3671,340,86,22,3671,340,86,22,3800') def cool(self): "Sends the cool setting function" self.mode = 'cool' return self.bridge.sendir(1, '1,1,38343,1,1,343,172,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,21,22,64,22,64,22,21,22,64,22,64,22,64,22,63,22,1563,342,86,22,3671,340,86,22,3671,340,86,22,3800') def energy_saver(self): "Sends the energy saver setting function" self.mode = 'energy_saver' return self.bridge.sendir(1, '1,1,38343,1,1,344,172,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,21,22,64,22,21,22,21,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,63,22,1563,342,86,22,3671,340,86,22,3671,340,86,22,3671,340,86,22,3800') def fan_only(self): "Sends the fan only setting function" self.mode = 'fan_only' return self.bridge.sendir(1, '1,4,38343,1,1,342,171,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,64,22,64,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,64,22,64,22,64,22,64,22,63,22,1563,342,86,22,3671,340,86,22,3671,340,86,22,3671,340,86,22,3800') def sleep(self): "Sends the sleep setting function" self.mode = 'sleep' return self.bridge.sendir(1, '1,5,38343,1,1,345,171,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,64,22,64,22,64,22,64,22,64,22,64,22,64,22,63,22,1562,342,86,22,3671,340,86,22,3671,340,86,22,3670,340,86,22,3670,340,86,22,3800') def auto_fan(self): "Sends the auto fan setting function" self.mode = 'auto_fan' return self.bridge.sendir(1, '1,6,38343,1,1,342,171,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,64,22,64,22,64,22,64,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,21,22,64,22,64,22,64,22,63,22,1562,342,86,22,3670,340,86,22,3670,340,86,22,3670,340,86,22,3800') def timer(self): "Sends the timer function" self.mode = 'timer' return self.bridge.sendir(1, '1,2,38343,1,1,342,172,22,21,22,21,22,21,22,64,22,21,22,21,22,21,22,21,22,64,22,21,22,64,22,21,22,64,22,64,22,64,22,64,22,21,22,64,22,64,22,21,22,21,22,21,22,21,22,21,22,64,22,21,22,21,22,64,22,64,22,64,22,64,22,63,22,3800')

64.549451

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5,874

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0.310545

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0.40204

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5,874

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0.306531

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false

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1

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1

0

1

0

1

null

0

8

776ca3bb94d4d4ec408cedacf97d12f824b35428

2,735

py

Python

scripts/mailgun.py

dtekluva/djangodashboard

42e308d583e5c5fcaafd6d847ced5f1573e35d81

[ "MIT" ]

null

scripts/mailgun.py

dtekluva/djangodashboard

42e308d583e5c5fcaafd6d847ced5f1573e35d81

[ "MIT" ]

null

scripts/mailgun.py

dtekluva/djangodashboard

42e308d583e5c5fcaafd6d847ced5f1573e35d81

[ "MIT" ]

1

2022-01-26T13:24:33.000Z

import os import requests, wyre.settings class Mailer: @staticmethod def send_simple_message( sender, title, message, receievers): """ SEND SIMPLE MAIL REQUIRES : - SENDER - NUMERIC CODE - TITLE -> STRING - MESSAGE -> STRING - RECEIVERS -> LIST POSSIBLE SENDERS: 1. WYRE-MONITOR 2. WYRE-ALERTS """ api_key = os.environ.get("api_key") mailgun_url = os.environ.get("mailgun_url") response = requests.post( mailgun_url, auth=("api", api_key), data={"from": f"{wyre.settings.POSSIBLE_SENDERS[sender]} <mailer@wyreng.com>", "to": receievers, "subject": title, "text": message}) if response.ok: print("Sending successful ") open("maillogs.txt", "a").write("Sending Successful") return { "status": True, "message": "E-mail successfully sent" } else: print("Sending failed ") open("maillogs.txt", "a").write(f"Sending failed ({response.content})") return { "status": True, "message": response.content } @staticmethod def send_simple_message_with_attachment( sender, title, message, receievers, attachment: str): """ SEND SIMPLE MAIL REQUIRES : - SENDER - NUMERIC CODE - TITLE -> STRING - MESSAGE -> STRING - RECEIVERS -> LIST POSSIBLE SENDERS: 1. WYRE-MONITOR 2. WYRE-ALERTS 3. WYRE-GENIUS """ api_key = os.environ.get("api_key") mailgun_url = os.environ.get("mailgun_url") response = requests.post( mailgun_url, auth=("api", api_key), files=[("attachment",("Report.pdf", open(attachment, "rb").read())) ], data={"from": f"{wyre.settings.POSSIBLE_SENDERS[sender]} <mailer@wyreng.com>", "to": receievers, "subject": title, "text": message}) if response.ok: print("Sending successful ") open("maillogs.txt", "a").write("Sending Successful") return { "status": True, "message": "E-mail successfully sent" } else: print("Sending failed ") open("maillogs.txt", "a").write(f"Sending failed ({response.content})") return { "status": False, "message": response.content }

31.079545

98

0.486289

245

2,735

5.346939

0.306122

0.027481

0.036641

0.048855

0.819847

0.770992

0

0.003012

0.393053

2,735

88

99

31.079545

0.786145

0.129433

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0.166667

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0

null

0

1

0

1

0

null

0

7

777cbf8f3c65323c6ca1ff42cbe9d489ae239079

42

py

Python

src/__init__.py

Niger-Volta-LTI/iranlowo

0046b61105ffadfff21dd8b37754b9d95177fbf8

[ "MIT" ]

17

2019-07-05T20:30:35.000Z

2022-02-28T10:00:24.000Z

src/__init__.py

Olamyy/iranlowo

1feb123988a8afac3ac53c7acfb72df862c4bc18

[ "MIT" ]

17

2019-07-06T09:10:10.000Z

2020-11-13T08:30:37.000Z

src/__init__.py

ruohoruotsi/iranlowo

0046b61105ffadfff21dd8b37754b9d95177fbf8

[ "MIT" ]

7

2019-07-01T01:59:07.000Z

2020-11-27T17:12:46.000Z

from . import onmt from . import torchtext

21

23

0.785714

6

42

5.5

0.666667

0.606061

0

0.166667

42

2

23

21

0.942857

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1

0

true

0

1

0

1

0

1

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null

1

0

1

0

null

0

1

0

1

0

1

0

7

7acb7e946080ea2f071818dbb07c725bd7f1792c

153

py

Python

_main_decision/_measurement_iteration/_helper_functions/__init__.py

oxquantum/CVAE

0352ddc51fbfd8d57b155e6de66b4c34e010beac

[ "MIT" ]

null

_main_decision/_measurement_iteration/_helper_functions/__init__.py

oxquantum/CVAE

0352ddc51fbfd8d57b155e6de66b4c34e010beac

[ "MIT" ]

null

_main_decision/_measurement_iteration/_helper_functions/__init__.py

oxquantum/CVAE

0352ddc51fbfd8d57b155e6de66b4c34e010beac

[ "MIT" ]

null

from .estimate_error import estimate_error from .get_observaiton_mask import get_observation_mask from .update_log_prob_mask import update_log_prob_mask

38.25

54

0.901961

24

153

5.25

0.458333

0.206349

0.269841

0

0.078431

153

3

55

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0

1

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true

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1

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null

1

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1

0

null

0

1

0

1

0

7

7ad92fa444030b0ddf1cbcbd4e6f419d3ee91d0d

494

py

Python

codechef/aug18a/inmat-map-gen.py

Ashindustry007/competitive-programming

2eabd3975c029d235abb7854569593d334acae2f

[ "WTFPL" ]

506

2018-08-22T10:30:38.000Z

2022-03-31T10:01:49.000Z

codechef/aug18a/inmat-map-gen.py

Ashindustry007/competitive-programming

2eabd3975c029d235abb7854569593d334acae2f

[ "WTFPL" ]

13

2019-08-07T18:31:18.000Z

2020-12-15T21:54:41.000Z

codechef/aug18a/inmat-map-gen.py

Ashindustry007/competitive-programming

2eabd3975c029d235abb7854569593d334acae2f

[ "WTFPL" ]

234

2018-08-06T17:11:41.000Z

2022-03-26T10:56:42.000Z

#!/usr/bin/env python3 n = 1000 c = 1 for i in range(n//3): x = [] for j in range(n): x.append(c) c += 1 print(' '.join([str(i) for i in x])) x = [] for j in range(n): x.append(c) c += 1 print(' '.join([str(i) for i in x])) x = [0] * n for j in range(n - 1, -1, -1): x[j] = c c += 1 print(' '.join([str(i) for i in x])) x = [] for j in range(n): x.append(c) c += 1 print(' '.join([str(i) for i in x]))

19.76

40

0.421053

95

494

2.189474

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0.048077

0.144231

0.211538

0.793269

0.735577

0

0.047771

0.364372

494

24

41

20.583333

0.61465

0.04251

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0.73913

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false

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null

0

1

0

1

0

1

0

null

0

7

bb3faa044a836cb16f7e89bae5e92aad782e360d

156

py

Python

keras/engine/base_layer.py

ikingye/keras

1a3ee8441933fc007be6b2beb47af67998d50737

[ "MIT" ]

5

2020-11-30T22:26:03.000Z

2020-12-01T22:34:25.000Z

keras/engine/base_layer.py

ikingye/keras

1a3ee8441933fc007be6b2beb47af67998d50737

[ "MIT" ]

10

2020-12-01T22:55:29.000Z

2020-12-11T18:31:46.000Z

keras/engine/base_layer.py

ikingye/keras

1a3ee8441933fc007be6b2beb47af67998d50737

[ "MIT" ]

15

2020-11-30T22:12:22.000Z

2020-12-09T01:32:48.000Z

"""Contains the base Layer class, from which all layers inherit.""" from tensorflow.keras.layers import Layer from tensorflow.keras.layers import InputSpec

39

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5.727273

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0.222222

0.301587

0.396825

0.492063

0

0.115385

156

3

68

52

0.913043

0.391026

0

1

0

true

0

1

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

8

2494610560d9b2db41aa326e0a92c72280358ff9

10,346

py

Python

tests/gems/arch/test_aur_data_mapper.py

DN-debug/bauh

83aeccae87d7fe26f6c5bf24be005288d5d54d84

[ "Zlib" ]

507

2019-08-12T16:15:55.000Z

2022-03-28T15:49:39.000Z

tests/gems/arch/test_aur_data_mapper.py

DN-debug/bauh

83aeccae87d7fe26f6c5bf24be005288d5d54d84

[ "Zlib" ]

176

2019-08-14T02:35:21.000Z

2022-03-31T21:43:56.000Z

tests/gems/arch/test_aur_data_mapper.py

DN-debug/bauh

83aeccae87d7fe26f6c5bf24be005288d5d54d84

[ "Zlib" ]

57

2019-09-02T04:09:22.000Z

2022-03-21T21:37:16.000Z

import warnings from unittest import TestCase from unittest.mock import Mock from bauh.gems.arch.mapper import AURDataMapper from bauh.gems.arch.model import ArchPackage class ArchDataMapperTest(TestCase): @classmethod def setUpClass(cls): warnings.filterwarnings('ignore', category=DeprecationWarning) def test_check_version_update(self): self.assertTrue(AURDataMapper.check_version_update('1.0.0-1', '1.0.0-2')) self.assertFalse(AURDataMapper.check_version_update('1.0.0-2', '1.0.0-1')) self.assertTrue(AURDataMapper.check_version_update('1.0.0-5', '1.0.1-1')) self.assertFalse(AURDataMapper.check_version_update('1.0.1-1', '1.0.0-1')) self.assertTrue(AURDataMapper.check_version_update('1.0.5-5', '1.1.0-2')) self.assertFalse(AURDataMapper.check_version_update('1.1.0-2', '1.0.5-5')) self.assertTrue(AURDataMapper.check_version_update('1.5.0-2', '1.5.1-1')) self.assertFalse(AURDataMapper.check_version_update('1.5.1-1', '1.5.0-2')) self.assertTrue(AURDataMapper.check_version_update('1.5.1-1', '1.5.1-2')) self.assertTrue(AURDataMapper.check_version_update('1.5.1-1', '2.0.0-1')) self.assertFalse(AURDataMapper.check_version_update('2.0.0-1', '1.5.1-1')) self.assertTrue(AURDataMapper.check_version_update('77.0.3865.90-1', '77.0.3865.120-1')) self.assertTrue(AURDataMapper.check_version_update('77.0.3865.90-1', '77.0.3865.90-2')) self.assertFalse(AURDataMapper.check_version_update('77.0.3865.900-1', '77.0.3865.120-1')) self.assertTrue(AURDataMapper.check_version_update('77.0.3865.120-1', '77.0.3865.900-1')) self.assertFalse(AURDataMapper.check_version_update('77.0.3865.120-1', '77.0.3865.90-1')) self.assertTrue(AURDataMapper.check_version_update('77.0.3865.a-1', '77.0.3865.b-1')) self.assertFalse(AURDataMapper.check_version_update('77.0.b.0-1', '77.0.a.1-1')) self.assertFalse(AURDataMapper.check_version_update('r25.e22697c-1', 'r8.19fe011-1')) self.assertTrue(AURDataMapper.check_version_update('0.9.7.RC-9', '0.9.7.RC-10')) self.assertFalse(AURDataMapper.check_version_update('1.1.0.r11.caacf30-1', 'r65.4c7144a-1')) self.assertFalse(AURDataMapper.check_version_update('1.2.16.r688.8b2c199-1', 'r2105.e91f0e9-3')) def test_check_version_update__versions_with_epics(self): self.assertTrue(AURDataMapper.check_version_update('1.2-1', '1:1.1-1')) self.assertFalse(AURDataMapper.check_version_update('1:1.1-1', '1.2-1')) self.assertTrue(AURDataMapper.check_version_update('1:1.2-1', '2:0.1-1')) self.assertFalse(AURDataMapper.check_version_update('2:0.1-1', '1:1.2-1')) self.assertTrue(AURDataMapper.check_version_update('10:1.1-1', '10:1.2-1')) self.assertFalse(AURDataMapper.check_version_update('10:1.2-1', '10:1.2-1')) self.assertTrue(AURDataMapper.check_version_update('9:1.2-1', '10:0.1-1')) self.assertTrue(AURDataMapper.check_version_update('9:1.1.1.1-2', '10:0.0')) self.assertFalse(AURDataMapper.check_version_update('10:0.0', '9:1.1.1.1-2')) def test_check_update__pkg_no_last_modified_and_same_versions(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.version = '1.0.0' pkg.latest_version = pkg.version self.assertFalse(mapper.check_update(pkg=pkg, last_modified=1608143812)) def test_check_update__pkg_no_last_modified_and_latest_version_higher_than_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.version = '1.0.0' pkg.latest_version = '1.1.0' self.assertTrue(mapper.check_update(pkg=pkg, last_modified=1608143812)) def test_check_update__pkg_no_last_modified_and_no_install_date_and_version_higher_than_latest_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.install_date = None pkg.version = '1.1.0' pkg.latest_version = '1.0.0' self.assertFalse(mapper.check_update(pkg=pkg, last_modified=1608143812)) def test_check_update__none_last_modified_and_latest_version_higher_than_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = 1608143812 pkg.version = '1.0.0' pkg.latest_version = '1.1.0' self.assertTrue(mapper.check_update(pkg=pkg, last_modified=None)) def test_check_update__none_last_modified_and_version_equal_latest_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = 1608143812 pkg.version = '1.0.0' pkg.latest_version = pkg.version self.assertFalse(mapper.check_update(pkg=pkg, last_modified=None)) def test_check_update__string_last_modified_and_latest_version_higher_than_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = 1608143812 pkg.version = '1.0.0' pkg.latest_version = '1.1.0' self.assertTrue(mapper.check_update(pkg=pkg, last_modified='abc')) def test_check_update__pkg_last_modified_equal_last_modified_and_version_equal_latest_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = 1608143812 pkg.version = '1.0.0' pkg.latest_version = pkg.version self.assertFalse(mapper.check_update(pkg=pkg, last_modified=pkg.last_modified)) def test_check_update__pkg_last_modified_higher_than_last_modified_and_latest_version_higher_than_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = 1608143812 pkg.version = '1.0.0' pkg.latest_version = '1.1.0' self.assertTrue(mapper.check_update(pkg=pkg, last_modified=pkg.last_modified - 100)) def test_check_update__pkg_last_modified_less_than_last_modified_and_version_higher_than_latest_version(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = 1608143812 pkg.version = '2.0.0' pkg.latest_version = '1.0.0' # in this case, last modified is more relevant than the string version self.assertTrue(mapper.check_update(pkg=pkg, last_modified=pkg.last_modified + 100)) def test_check_update__pkg_no_last_modified_and_install_date_less_than_last_modified_and_version_higher_than_latest(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.install_date = 1608143812 pkg.version = '3.0.0' pkg.latest_version = '2.0.0' # in this case, install_date will be considered instead of package's last_modified. # even that 'version' is higher than 'latest_version', 'last_modified' is greater than 'install_date' self.assertTrue(mapper.check_update(pkg=pkg, last_modified=pkg.install_date + 100)) def test_check_update__pkg_no_last_modified_and_install_date_higher_than_last_modified_and_version_equal_latest(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.install_date = 1608143812 pkg.version = '2.0.0' pkg.latest_version = pkg.version # in this case, install_date will be considered instead of package's last_modified. # as 'install_date' is higher, only the string versions will be compared self.assertFalse(mapper.check_update(pkg=pkg, last_modified=pkg.install_date - 100)) def test_check_update__pkg_no_last_modified_and_install_date_higher_than_last_modified_and_latest_higher(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.install_date = 1608143812 pkg.version = '1.0.0' pkg.latest_version = '1.1.0' # in this case, install_date will be considered instead of package's last_modified. # as 'install_date' is higher, only the string versions will be compared self.assertTrue(mapper.check_update(pkg=pkg, last_modified=pkg.install_date - 100)) def test_check_update__pkg_no_last_modified_and_install_date_and_no_last_modified_and_latest_higher(self): mapper = AURDataMapper(i18n=Mock(), logger=Mock(), http_client=Mock()) pkg = ArchPackage(name='test') pkg.last_modified = None pkg.install_date = 1608143812 pkg.version = '1.0.0' pkg.latest_version = '1.1.0' # in this case, install_date will be considered instead of package's last_modified. # as 'install_date' is higher, only the string versions will be compared self.assertTrue(mapper.check_update(pkg=pkg, last_modified=None)) def test_check_version_update__one_version_contain_mixed_letters_and_symbols(self): self.assertTrue(AURDataMapper.check_version_update('2.2.6', '2.3.3op2')) self.assertFalse(AURDataMapper.check_version_update('2.3', '2.2.a')) self.assertTrue(AURDataMapper.check_version_update('2.2.a.123', '2.3')) def test_check_update__only_installed_version_with_release_number(self): self.assertTrue(AURDataMapper.check_version_update('2.2.6-1', '2.3')) self.assertTrue(AURDataMapper.check_version_update('2.2', '2.2-2')) self.assertFalse(AURDataMapper.check_version_update('2.2', '2.2-1')) def test_check_update__versions_with_epoch(self): self.assertTrue(AURDataMapper.check_version_update('2.3', '1:2.1')) self.assertFalse(AURDataMapper.check_version_update('1:1.0', '2.1'))

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0

null

0

1

0

null

0

7

24fde2aa039bbef26eb7d45c70d30b894d055507

4,941

py

Python

api/tests/test_match_project_posting.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

1

2022-03-03T09:55:57.000Z

api/tests/test_match_project_posting.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

7

2022-02-09T10:44:53.000Z

2022-03-28T03:29:43.000Z

api/tests/test_match_project_posting.py

matchd-ch/matchd-backend

84be4aab1b4708cae50a8988301b15df877c8db0

[ "Apache-2.0" ]

null

import pytest from django.contrib.auth.models import AnonymousUser from django.core import mail from db.models import Match @pytest.mark.django_db def test_company_match_student_project_posting(user_student, user_employee, company_project_posting_object, match_project_posting, login): company_project_posting_object.employee = user_employee.employee company_project_posting_object.save() login(user_student) data, errors = match_project_posting(user_student, company_project_posting_object) assert errors is None assert data is not None match_project_posting_data = data.get('matchProjectPosting') assert match_project_posting_data is not None assert match_project_posting_data.get('success') is True assert match_project_posting_data.get('errors') is None match_obj_exists = Match.objects.filter(student=user_student.student, project_posting=company_project_posting_object, initiator=user_student.type, student_confirmed=True, company_confirmed=True).exists() assert match_obj_exists is True mail_to_company = mail.outbox[0] assert user_employee.email in mail_to_company.recipients() @pytest.mark.django_db def test_company_match_student_project_posting_with_invalid_project_posting( user_employee, student_project_posting_object, match_project_posting, login): login(user_employee) student_project_posting_object.id = 1337 data, errors = match_project_posting(user_employee, student_project_posting_object) assert errors is None assert data is not None match_project_posting_data = data.get('matchProjectPosting') assert match_project_posting_data is not None assert match_project_posting_data.get('success') is False assert match_project_posting_data.get('errors') is not None @pytest.mark.django_db def test_company_match_student_project_posting_without_login(company_project_posting_object, match_project_posting): data, errors = match_project_posting(AnonymousUser(), company_project_posting_object) assert errors is not None assert data is not None match_project_posting_data = data.get('matchProjectPosting') assert match_project_posting_data is None @pytest.mark.django_db def test_student_match_company_project_posting(user_student, user_employee, student_project_posting_object, match_project_posting, login): login(user_employee) data, errors = match_project_posting(user_employee, student_project_posting_object) assert errors is None assert data is not None match_project_posting_data = data.get('matchProjectPosting') assert match_project_posting_data is not None assert match_project_posting_data.get('success') is True assert match_project_posting_data.get('errors') is None match_obj_exists = Match.objects.filter(company=user_employee.company, project_posting=student_project_posting_object, initiator=user_employee.type, student_confirmed=True, company_confirmed=True).exists() assert match_obj_exists is True mail_to_student = mail.outbox[0] assert user_student.email in mail_to_student.recipients() @pytest.mark.django_db def test_student_match_company_project_posting_with_invalid_project_posting( user_student, user_employee, company_project_posting_object, match_project_posting, login): company_project_posting_object.employee = user_employee.employee company_project_posting_object.save() login(user_student) company_project_posting_object.id = 1337 data, errors = match_project_posting(user_student, company_project_posting_object) assert errors is None assert data is not None match_project_posting_data = data.get('matchProjectPosting') assert match_project_posting_data is not None assert match_project_posting_data.get('success') is False assert match_project_posting_data.get('errors') is not None @pytest.mark.django_db def test_student_match_company_project_posting_without_login(company_project_posting_object, match_project_posting): data, errors = match_project_posting(AnonymousUser(), company_project_posting_object) assert errors is not None assert data is not None match_project_posting_data = data.get('matchProjectPosting') assert match_project_posting_data is None

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585

4,941

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null

1

0

1

0

1

0

null

0

9

7023d63d0ccc292d0e5f5b42f02f07608512b429

164

py

Python

pytorch-research/tutorial/db-connect/adhoc.py

ryansimpsonuk/GAN-202005

6cfe226f642f222d6320a8630acf2d086e20276e

[ "BSD-3-Clause" ]

null

pytorch-research/tutorial/db-connect/adhoc.py

ryansimpsonuk/GAN-202005

6cfe226f642f222d6320a8630acf2d086e20276e

[ "BSD-3-Clause" ]

null

pytorch-research/tutorial/db-connect/adhoc.py

ryansimpsonuk/GAN-202005

6cfe226f642f222d6320a8630acf2d086e20276e

[ "BSD-3-Clause" ]

null

# Databricks notebook source dbutils.fs.ls('/tmp/ryansimpson/dataset/runs/') # COMMAND ---------- dbutils.tensorboard.start('/dbfs/tmp/ryansimpson/dataset/runs/')

27.333333

64

0.72561

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164

6.263158

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0.352941

0.420168

0

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164

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0

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1

0

1

0

1

null

0

1

0

7

706101e6a21f5a067529bff984e25684bf373e35

96

py

Python

src/__init__.py

gannon93/python_challenge_work

a13465b2640562e438133f5c5fe60208d897654a

[ "MIT" ]

null

src/__init__.py

gannon93/python_challenge_work

a13465b2640562e438133f5c5fe60208d897654a

[ "MIT" ]

null

src/__init__.py

gannon93/python_challenge_work

a13465b2640562e438133f5c5fe60208d897654a

[ "MIT" ]

null

try: from . import requests_helper as rh except Exception: import requests_helper as rh

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1

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null

0

1

0

1

0

7

7081c7a5f94f2423518187fe6e9b65ac1fd83a20

14,455

py

Python

sdk/python/pulumi_lxd/publish_image.py

soupdiver/pulumi-lxd

258395aefd6a4cf138d470d7de70babed3310063

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

null

sdk/python/pulumi_lxd/publish_image.py

soupdiver/pulumi-lxd

258395aefd6a4cf138d470d7de70babed3310063

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

null

sdk/python/pulumi_lxd/publish_image.py

soupdiver/pulumi-lxd

258395aefd6a4cf138d470d7de70babed3310063

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

null

# 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__ = ['PublishImageArgs', 'PublishImage'] @pulumi.input_type class PublishImageArgs: def __init__(__self__, *, container: pulumi.Input[str], aliases: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, compression_algorithm: Optional[pulumi.Input[str]] = None, filename: Optional[pulumi.Input[str]] = None, properties: Optional[pulumi.Input[Mapping[str, Any]]] = None, public: Optional[pulumi.Input[bool]] = None, triggers: Optional[pulumi.Input[Mapping[str, Any]]] = None): """ The set of arguments for constructing a PublishImage resource. :param pulumi.Input[Mapping[str, Any]] triggers: A map of arbitrary strings that, when changed, will force the resource to be replaced. """ pulumi.set(__self__, "container", container) if aliases is not None: pulumi.set(__self__, "aliases", aliases) if compression_algorithm is not None: pulumi.set(__self__, "compression_algorithm", compression_algorithm) if filename is not None: pulumi.set(__self__, "filename", filename) if properties is not None: pulumi.set(__self__, "properties", properties) if public is not None: pulumi.set(__self__, "public", public) if triggers is not None: pulumi.set(__self__, "triggers", triggers) @property @pulumi.getter def container(self) -> pulumi.Input[str]: return pulumi.get(self, "container") @container.setter def container(self, value: pulumi.Input[str]): pulumi.set(self, "container", value) @property @pulumi.getter def aliases(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "aliases") @aliases.setter def aliases(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "aliases", value) @property @pulumi.getter(name="compressionAlgorithm") def compression_algorithm(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "compression_algorithm") @compression_algorithm.setter def compression_algorithm(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "compression_algorithm", value) @property @pulumi.getter def filename(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "filename") @filename.setter def filename(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "filename", value) @property @pulumi.getter def properties(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "properties") @properties.setter def properties(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "properties", value) @property @pulumi.getter def public(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "public") @public.setter def public(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "public", value) @property @pulumi.getter def triggers(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A map of arbitrary strings that, when changed, will force the resource to be replaced. """ return pulumi.get(self, "triggers") @triggers.setter def triggers(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "triggers", value) @pulumi.input_type class _PublishImageState: def __init__(__self__, *, aliases: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, compression_algorithm: Optional[pulumi.Input[str]] = None, container: Optional[pulumi.Input[str]] = None, filename: Optional[pulumi.Input[str]] = None, properties: Optional[pulumi.Input[Mapping[str, Any]]] = None, public: Optional[pulumi.Input[bool]] = None, triggers: Optional[pulumi.Input[Mapping[str, Any]]] = None): """ Input properties used for looking up and filtering PublishImage resources. :param pulumi.Input[Mapping[str, Any]] triggers: A map of arbitrary strings that, when changed, will force the resource to be replaced. """ if aliases is not None: pulumi.set(__self__, "aliases", aliases) if compression_algorithm is not None: pulumi.set(__self__, "compression_algorithm", compression_algorithm) if container is not None: pulumi.set(__self__, "container", container) if filename is not None: pulumi.set(__self__, "filename", filename) if properties is not None: pulumi.set(__self__, "properties", properties) if public is not None: pulumi.set(__self__, "public", public) if triggers is not None: pulumi.set(__self__, "triggers", triggers) @property @pulumi.getter def aliases(self) -> Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]: return pulumi.get(self, "aliases") @aliases.setter def aliases(self, value: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]]): pulumi.set(self, "aliases", value) @property @pulumi.getter(name="compressionAlgorithm") def compression_algorithm(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "compression_algorithm") @compression_algorithm.setter def compression_algorithm(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "compression_algorithm", value) @property @pulumi.getter def container(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "container") @container.setter def container(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "container", value) @property @pulumi.getter def filename(self) -> Optional[pulumi.Input[str]]: return pulumi.get(self, "filename") @filename.setter def filename(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "filename", value) @property @pulumi.getter def properties(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: return pulumi.get(self, "properties") @properties.setter def properties(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "properties", value) @property @pulumi.getter def public(self) -> Optional[pulumi.Input[bool]]: return pulumi.get(self, "public") @public.setter def public(self, value: Optional[pulumi.Input[bool]]): pulumi.set(self, "public", value) @property @pulumi.getter def triggers(self) -> Optional[pulumi.Input[Mapping[str, Any]]]: """ A map of arbitrary strings that, when changed, will force the resource to be replaced. """ return pulumi.get(self, "triggers") @triggers.setter def triggers(self, value: Optional[pulumi.Input[Mapping[str, Any]]]): pulumi.set(self, "triggers", value) class PublishImage(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, aliases: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, compression_algorithm: Optional[pulumi.Input[str]] = None, container: Optional[pulumi.Input[str]] = None, filename: Optional[pulumi.Input[str]] = None, properties: Optional[pulumi.Input[Mapping[str, Any]]] = None, public: Optional[pulumi.Input[bool]] = None, triggers: Optional[pulumi.Input[Mapping[str, Any]]] = None, __props__=None): """ Create a PublishImage resource with the given unique name, props, and options. :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Mapping[str, Any]] triggers: A map of arbitrary strings that, when changed, will force the resource to be replaced. """ ... @overload def __init__(__self__, resource_name: str, args: PublishImageArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Create a PublishImage resource with the given unique name, props, and options. :param str resource_name: The name of the resource. :param PublishImageArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(PublishImageArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, aliases: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, compression_algorithm: Optional[pulumi.Input[str]] = None, container: Optional[pulumi.Input[str]] = None, filename: Optional[pulumi.Input[str]] = None, properties: Optional[pulumi.Input[Mapping[str, Any]]] = None, public: Optional[pulumi.Input[bool]] = None, triggers: Optional[pulumi.Input[Mapping[str, Any]]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = PublishImageArgs.__new__(PublishImageArgs) __props__.__dict__["aliases"] = aliases __props__.__dict__["compression_algorithm"] = compression_algorithm if container is None and not opts.urn: raise TypeError("Missing required property 'container'") __props__.__dict__["container"] = container __props__.__dict__["filename"] = filename __props__.__dict__["properties"] = properties __props__.__dict__["public"] = public __props__.__dict__["triggers"] = triggers super(PublishImage, __self__).__init__( 'lxd:index/publishImage:PublishImage', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, aliases: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None, compression_algorithm: Optional[pulumi.Input[str]] = None, container: Optional[pulumi.Input[str]] = None, filename: Optional[pulumi.Input[str]] = None, properties: Optional[pulumi.Input[Mapping[str, Any]]] = None, public: Optional[pulumi.Input[bool]] = None, triggers: Optional[pulumi.Input[Mapping[str, Any]]] = None) -> 'PublishImage': """ Get an existing PublishImage resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[Mapping[str, Any]] triggers: A map of arbitrary strings that, when changed, will force the resource to be replaced. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _PublishImageState.__new__(_PublishImageState) __props__.__dict__["aliases"] = aliases __props__.__dict__["compression_algorithm"] = compression_algorithm __props__.__dict__["container"] = container __props__.__dict__["filename"] = filename __props__.__dict__["properties"] = properties __props__.__dict__["public"] = public __props__.__dict__["triggers"] = triggers return PublishImage(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter def aliases(self) -> pulumi.Output[Optional[Sequence[str]]]: return pulumi.get(self, "aliases") @property @pulumi.getter(name="compressionAlgorithm") def compression_algorithm(self) -> pulumi.Output[Optional[str]]: return pulumi.get(self, "compression_algorithm") @property @pulumi.getter def container(self) -> pulumi.Output[str]: return pulumi.get(self, "container") @property @pulumi.getter def filename(self) -> pulumi.Output[Optional[str]]: return pulumi.get(self, "filename") @property @pulumi.getter def properties(self) -> pulumi.Output[Optional[Mapping[str, Any]]]: return pulumi.get(self, "properties") @property @pulumi.getter def public(self) -> pulumi.Output[Optional[bool]]: return pulumi.get(self, "public") @property @pulumi.getter def triggers(self) -> pulumi.Output[Optional[Mapping[str, Any]]]: """ A map of arbitrary strings that, when changed, will force the resource to be replaced. """ return pulumi.get(self, "triggers")

41.182336

143

0.64054

1,587

14,455

5.620038

0.089477

0.098666

0.127817

0.059199

0.80435

0.791793

0.754008

0.728669

0.718242

0.698172

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0.246212

14,455

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144

41.3

0.818465

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false

0.003831

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0

null

0

1

0

1

0

null

0

8

56389f3c13fe184ae909eef73d08c0900b0d7e50

100

py

Python

djangocms_versioning_filer/monkeypatch/admin/tools.py

jonathan-s/djangocms-versioning-filer

664a65ecbe08ae0808d60e07f6b5168d6073ab65

[ "BSD-3-Clause" ]

null

djangocms_versioning_filer/monkeypatch/admin/tools.py

jonathan-s/djangocms-versioning-filer

664a65ecbe08ae0808d60e07f6b5168d6073ab65

[ "BSD-3-Clause" ]

10

2019-08-13T13:50:59.000Z

2022-03-11T13:00:05.000Z

djangocms_versioning_filer/monkeypatch/admin/tools.py

jonathan-s/djangocms-versioning-filer

664a65ecbe08ae0808d60e07f6b5168d6073ab65

[ "BSD-3-Clause" ]

9

2018-09-28T12:43:27.000Z

2020-10-13T09:06:47.000Z

from filer.admin import tools tools.ALLOWED_PICK_TYPES = tools.ALLOWED_PICK_TYPES + ('grouper', )

20

67

0.78

14

100

5.285714

0.642857

0.324324

0.432432

0.567568

0

0.12

100

4

68

25

0.840909

0

0.07

0

1

0

true

0

0.5

0

0.5

0

1

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null

1

0

1

0

null

0

1

0

1

0

7

563a991437e22f280874994c6047f95e60a20afa

11,758

py

Python

Few-shot_Learning/algorithms.py

LanGe-Chen/AutoML

227c1082b8ced47022104808958006a43aa90335

[ "Apache-2.0" ]

null

Few-shot_Learning/algorithms.py

LanGe-Chen/AutoML

227c1082b8ced47022104808958006a43aa90335

[ "Apache-2.0" ]

null

Few-shot_Learning/algorithms.py

LanGe-Chen/AutoML

227c1082b8ced47022104808958006a43aa90335

[ "Apache-2.0" ]

null

#################################################################### # Implement the two techniques Finetuning and Reptile #################################################################### import matplotlib.pyplot as plt import torch import numpy as np from copy import deepcopy from data_loader import SineLoader from networks import SineNetwork #Plotting Parameters HORIZON = 10 TRAIN_C = (255/255, 165/255, 0) TRAIN_T = (TRAIN_C[0],TRAIN_C[1],TRAIN_C[2],0.5) TEST_C = (0, 1, 1) TEST_T = (TEST_C[0],TEST_C[1],TEST_C[2],0.5) ITER_S = ':' MEAN_S = '-' class Finetuning: def __init__(self, iterations, samples, batch_size, support_size, query_size, step): self.iterations = iterations self.samples = samples self.batch_size = batch_size self.support_size = support_size self.query_size = query_size self.step = step def plot_fn(self, ax, style, label, color=None): fx = np.arange(-5.0, 5.0, 0.1) fy = self.model(torch.Tensor(np.asarray(fx)).reshape(len(fx), 1)).detach().numpy() if color == None: ax.plot(fx, fy, style, label=label) else: ax.plot(fx, fy, style, label=label, color=color) def train_batch(self, x, y): # Updates the model on a single batch using SGD self.model.zero_grad() pred = self.model(x) loss = self.model.criterion(pred, y) loss.backward() for param in self.model.parameters(): param.data -= self.step * param.grad.data def freeze_model(self, state): for layer in self.model.model['features'].children(): for param in layer.parameters(): param.requires_grad = state if state: self.model.model['out'].reset_parameters() def run(self, eval=100): self.model = SineNetwork() rng = np.random.RandomState(0) # Data Loaders train_loader = SineLoader(k=self.samples, k_test=0).generator(episodic=False, batch_size=self.samples, mode="train", reset_ptr=True) test_loader = SineLoader(k=self.support_size, k_test=self.query_size).generator(episodic=True, batch_size=None, mode="test", reset_ptr=True) _, (ax1, ax2) = plt.subplots(1, 2) iters = [] train_losses = [] train_means = [] test_losses = [] test_means = [] for iteration in range(self.iterations): # Train on a batch of sine data x_batch, y_batch, _, _ = next(train_loader) # Train over the entire distribution of sine wave tasks for fine-tuning indices = rng.permutation(len(x_batch)) for start in range(0, len(x_batch), self.batch_size): gather = indices[start:start+self.batch_size] self.train_batch(x_batch[gather], y_batch[gather]) # Evaluate on a new unseen task and plot results if iteration==0 or (iteration+1) % eval == 0: ax1.cla() ax2.cla() iters.append(iteration) # Keep weights for restoring later weights_before = deepcopy(self.model.state_dict()) self.freeze_model(True) # Test the model for a fixed number of training epochs on the new task and evaluate against query set x_support, y_support, x_query, y_query = next(test_loader) train_losses.append(self.model.criterion(self.model(x_query), y_query).item()) self.plot_fn(ax1, "--", "Initial Model", (0,0,0)) for inneriter in range(32): self.train_batch(x_support, y_support) if (inneriter+1) % 8 == 0: frac = (inneriter+1) / 32 self.plot_fn(ax1, "-", "Model at %i"%(inneriter+1), (1-frac, frac, 0, frac)) test_losses.append(self.model.criterion(self.model(x_query), y_query).item()) train_means.append(np.mean(train_losses[-HORIZON:])) test_means.append(np.mean(test_losses[-HORIZON:])) ax1.plot(x_support, y_support, "*", label="Support", color=(1,0,0)) ax1.plot(x_query, y_query, "*", label="Query", color=(0,0,1)) ax1.set_ylim(-5,5) ax1.legend(loc='upper right', fancybox=True, shadow=True) ax1.title.set_text("Fine-Tuning Transfer") ax1.set_xlabel("X") ax1.set_ylabel("Y") ax2.plot(iters[1:], train_losses[1:], ITER_S, label="Train Loss", color=TRAIN_T) ax2.plot(iters[1:], train_means[1:], MEAN_S, label="Train Mean", color=TRAIN_C) ax2.plot(iters[1:], test_losses[1:], ITER_S, label="Test Loss", color=TEST_T) ax2.plot(iters[1:], test_means[1:], MEAN_S, label="Test Mean", color=TEST_C) ax2.legend(loc="upper right", fancybox=True, shadow=True) ax2.title.set_text("Learning Curves") ax2.set_xlabel("Iterations") ax2.set_ylabel("MSE") plt.pause(0.01) print(f"-----------------------------") print(f"Iteration {iteration+1}") print("Before Transfer |", f"Train Loss: {train_losses[-1]:.3f}", f"Mean: {train_means[-1]:.3f}") print("After Transfer |", f"Test Loss: {test_losses[-1]:.3f}", f"Mean: {test_means[-1]:.3f}") # Restore weights from before testing self.freeze_model(False) self.model.load_state_dict(weights_before) class Reptile: def __init__(self, iterations, samples, batch_size, support_size, query_size, outerstep, innerstep, innerepochs): self.iterations = iterations self.samples = samples self.batch_size = batch_size self.support_size = support_size self.query_size = query_size self.outerstep = outerstep self.innerstep = innerstep self.innerepochs = innerepochs def plot_fn(self, ax, style, label, color=None): fx = np.arange(-5.0, 5.0, 0.1) fy = self.model(torch.Tensor(np.asarray(fx)).reshape(len(fx), 1)).detach().numpy() if color == None: ax.plot(fx, fy, style, label=label) else: ax.plot(fx, fy, style, label=label, color=color) def train_batch(self, x, y): # Updates the model on a single batch using SGD self.model.zero_grad() pred = self.model(x) loss = self.model.criterion(pred, y) loss.backward() for param in self.model.parameters(): param.data -= self.innerstep * param.grad.data def run(self, eval=100): self.model = SineNetwork() rng = np.random.RandomState(0) # Data Loaders train_loader = SineLoader(k=self.samples, k_test=0).generator(episodic=True, batch_size=None, mode="train", reset_ptr=True) test_loader = SineLoader(k=self.support_size, k_test=self.query_size).generator(episodic=True, batch_size=None, mode="test", reset_ptr=True) _, (ax1, ax2) = plt.subplots(1, 2) iters = [] train_losses = [] train_means = [] test_losses = [] test_means = [] for iteration in range(self.iterations): # Train on a batch of sine data # Keep current weights for outerloop update weights_before = deepcopy(self.model.state_dict()) # Train over a single task of sine waves at each inner epoch for _ in range(self.innerepochs): x_batch, y_batch, _, _ = next(train_loader) indices = rng.permutation(len(x_batch)) # get minibatchs for inner loop for start in range(0, len(x_batch), self.batch_size): gather = indices[start:start+self.batch_size] self.train_batch(x_batch[gather], y_batch[gather]) # Get new weights for outerloop update weights_after = self.model.state_dict() # performs an outerloop weight update separately from the innerloop training # re-scale the learning update outerstepsize = self.outerstep * (1 - iteration/self.iterations) # interpolating old and new parameters self.model.load_state_dict({name : weights_before[name] + (weights_after[name] - weights_before[name]) * outerstepsize for name in weights_before }) # Evaluate on a new unseen task and plot results if iteration==0 or (iteration+1) % eval == 0: ax1.cla() ax2.cla() iters.append(iteration) # Keep weights for restoring later weights_before = deepcopy(self.model.state_dict()) # Test the model for a fixed number of training epochs on the new task and evaluate against query set x_support, y_support, x_query, y_query = next(test_loader) train_losses.append(self.model.criterion(self.model(x_query), y_query).item()) self.plot_fn(ax1, "--", "Initial Model", (0,0,0)) for inneriter in range(32): self.train_batch(x_support, y_support) if (inneriter+1) % 8 == 0: frac = (inneriter+1) / 32 self.plot_fn(ax1, "-", "Model at %i"%(inneriter+1), (1-frac, frac, 0, frac)) test_losses.append(self.model.criterion(self.model(x_query), y_query).item()) train_means.append(np.mean(train_losses[-HORIZON:])) test_means.append(np.mean(test_losses[-HORIZON:])) ax1.plot(x_support, y_support, "*", label="Support", color=(1,0,0)) ax1.plot(x_query, y_query, "*", label="Query", color=(0,0,1)) ax1.set_ylim(-5,5) ax1.legend(loc='upper right', fancybox=True, shadow=True) ax1.title.set_text("Reptile Transfer") ax1.set_xlabel("X") ax1.set_ylabel("Y") ax2.plot(iters[1:], train_losses[1:], ITER_S, label="Train Loss", color=TRAIN_T) ax2.plot(iters[1:], train_means[1:], MEAN_S, label="Train Mean", color=TRAIN_C) ax2.plot(iters[1:], test_losses[1:], ITER_S, label="Test Loss", color=TEST_T) ax2.plot(iters[1:], test_means[1:], MEAN_S, label="Test Mean", color=TEST_C) ax2.legend(loc="upper right", fancybox=True, shadow=True) ax2.title.set_text("Learning Curves") ax2.set_xlabel("Iterations") ax2.set_ylabel("MSE") plt.pause(0.01) print(f"-----------------------------") print(f"Iteration {iteration+1}") print("Before Transfer |", f"Train Loss: {train_losses[-1]:.3f}", f"Mean: {train_means[-1]:.3f}") print("After Transfer |", f"Test Loss: {test_losses[-1]:.3f}", f"Mean: {test_means[-1]:.3f}") # Restore weights from before testing self.model.load_state_dict(weights_before)

47.991837

149

0.543545

1,436

11,758

4.29805

0.143454

0.042288

0.009073

0.015554

0.813513

0.800713

0.790992

0.762476

0

0.024034

0.32412

11,758

244

150

48.188525

0.752611

0.091852

0

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0

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0.04918

false

0

0.032787

0

0.092896

0.043716

0

null

0

1

0

1

0

null

0

7

563b3a2d668c0c7d0d8a10b2adfbcfb74031197e

162

py

Python

register.py

carryking1988/heimatest

62e7c43651cf58ee9f41469fb8e76892f581af43

[ "MIT" ]

null

register.py

carryking1988/heimatest

62e7c43651cf58ee9f41469fb8e76892f581af43

[ "MIT" ]

null

register.py

carryking1988/heimatest

62e7c43651cf58ee9f41469fb8e76892f581af43

[ "MIT" ]

null

def register(func): def wrapper(*args,**kwargs): print('hello') return wrapper(*args,**kwargs) return wrapper def register2(): pass

16.2

38

0.598765

18

162

5.388889

0.611111

0.226804

0.350515

0

0.008333

0.259259

162

9

39

18

0.8

0

0.031056

0

1

0.428571

false

0.142857

0

0.714286

0.142857

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

564650e4c3812ee2e6fca260281d3cfe6ffffe49

6,234

py

Python

nailgun/nailgun/orchestrator/graph_configuration.py

prmtl/fuel-web

3577169e209596a8e4a95d1c41d2dde099a3945f

[ "Apache-2.0" ]

null

nailgun/nailgun/orchestrator/graph_configuration.py

prmtl/fuel-web

3577169e209596a8e4a95d1c41d2dde099a3945f

[ "Apache-2.0" ]

null

nailgun/nailgun/orchestrator/graph_configuration.py

prmtl/fuel-web

3577169e209596a8e4a95d1c41d2dde099a3945f

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2014 Mirantis, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. #(dshulyak) temporary, this config will be moved to fuel-library #until we will stabilize our api DEPLOYMENT_51_60 = """ - id: deploy_start type: stage - id: deploy_end type: stage requires: [deploy_start] - id: primary-controller type: group role: [primary-controller] required_for: [deploy_end] requires: [deploy_start] parameters: strategy: type: one_by_one - id: controller type: group role: [controller] requires: [primary-controller] required_for: [deploy_end] parameters: strategy: type: parallel amount: 6 - id: cinder type: group role: [cinder] requires: [controller] required_for: [deploy_end] parameters: strategy: type: parallel - id: compute type: group role: [compute] requires: [controller] required_for: [deploy_end] parameters: strategy: type: parallel - id: zabbix-server type: group role: [zabbix-server] required_for: [deploy_end] requires: [deploy_start] parameters: strategy: type: one_by_one - id: mongo type: group role: [mongo] requires: [zabbix-server] required_for: [deploy_end, primary-controller, controller] parameters: strategy: type: parallel - id: primary-mongo type: group role: [primary-mongo] requires: [mongo] required_for: [deploy_end, primary-controller, controller] parameters: strategy: type: one_by_one - id: ceph-osd type: group role: [ceph-osd] requires: [controller] required_for: [deploy_end] parameters: strategy: type: parallel - id: base-os type: group role: [base-os] required_for: [deploy_end] parameters: strategy: type: parallel - id: deploy_legacy type: puppet groups: [primary-controller, controller, cinder, compute, ceph-osd, zabbix-server, primary-mongo, mongo] required_for: [deploy_end] requires: [deploy_start] parameters: puppet_manifest: /etc/puppet/manifests/site.pp puppet_modules: /etc/puppet/modules timeout: 3600 """ DEPLOYMENT_50 = """ - id: deploy_start type: stage - id: deploy_end type: stage requires: [deploy_start] - id: primary-controller type: group role: [primary-controller] required_for: [deploy_end] requires: [deploy_start] parameters: strategy: type: one_by_one - id: controller type: group role: [controller] requires: [primary-controller] required_for: [deploy_end] parameters: strategy: type: one_by_one - id: cinder type: group role: [cinder] requires: [controller] required_for: [deploy_end] parameters: strategy: type: parallel - id: compute type: group role: [compute] requires: [controller] required_for: [deploy_end] parameters: strategy: type: parallel - id: zabbix-server type: group role: [zabbix-server] required_for: [deploy_end] requires: [deploy_start] parameters: strategy: type: one_by_one - id: mongo type: group role: [mongo] requires: [zabbix-server] required_for: [deploy_end, primary-controller, controller] parameters: strategy: type: one_by_one - id: primary-mongo type: group role: [primary-mongo] requires: [mongo] required_for: [deploy_end, primary-controller, controller] parameters: strategy: type: one_by_one - id: ceph-osd type: group role: [ceph-osd] requires: [controller] required_for: [deploy_end] parameters: strategy: type: parallel - id: deploy_legacy type: puppet groups: [primary-controller, controller, cinder, compute, ceph-osd, zabbix-server, primary-mongo, mongo] required_for: [deploy_end] requires: [deploy_start] parameters: puppet_manifest: /etc/puppet/manifests/site.pp puppet_modules: /etc/puppet/modules timeout: 3600 """ PATCHING = """ - id: deploy_start type: stage - id: deploy_end type: stage requires: [deploy_start] - id: primary-controller type: group role: [primary-controller] required_for: [deploy_end] requires: [deploy_start] parameters: strategy: type: one_by_one - id: controller type: group role: [controller] requires: [primary-controller] required_for: [deploy_end] parameters: strategy: type: one_by_one - id: cinder type: group role: [cinder] requires: [controller] required_for: [deploy_end] parameters: strategy: type: one_by_one - id: compute type: group role: [compute] requires: [controller] required_for: [deploy_end] parameters: strategy: type: one_by_one - id: zabbix-server type: group role: [zabbix-server] required_for: [deploy_end] requires: [deploy_start] parameters: strategy: type: one_by_one - id: mongo type: group role: [mongo] requires: [zabbix-server] required_for: [deploy_end, primary-controller, controller] parameters: strategy: type: one_by_one - id: primary-mongo type: group role: [primary-mongo] requires: [mongo] required_for: [deploy_end, primary-controller, controller] parameters: strategy: type: one_by_one - id: ceph-osd type: group role: [ceph-osd] requires: [controller] required_for: [deploy_end] parameters: strategy: type: one_by_one - id: deploy_legacy type: puppet groups: [primary-controller, controller, cinder, compute, ceph-osd, zabbix-server, primary-mongo, mongo] required_for: [deploy_end] requires: [deploy_start] parameters: puppet_manifest: /etc/puppet/manifests/site.pp puppet_modules: /etc/puppet/modules timeout: 3600 """

21.645833

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0.685435

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6,234

5.452756

0.158793

0.067148

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0

0.005711

0.213507

6,234

287

79

21.721254

0.84173

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false

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null

0

1

0

1

0

1

0

null

0

8

569312dfa205c092a4296503316a2a0ca850603a

5,613

py

Python

example/takeaway/tests.py

Hedde/django-networth

496311e31f3b49202bda9c0b2997ee4508cc9477

[ "MIT" ]

null

example/takeaway/tests.py

Hedde/django-networth

496311e31f3b49202bda9c0b2997ee4508cc9477

[ "MIT" ]

3

2020-02-12T00:02:35.000Z

2021-06-10T19:38:41.000Z

example/takeaway/tests.py

Hedde/django-networth

496311e31f3b49202bda9c0b2997ee4508cc9477

[ "MIT" ]

null

__author__ = 'heddevanderheide' # Django specific from django import test # App specific from takeaway.models import Pizza, Topping class TestNetworthModel(test.TestCase): def setUp(self): self.obj_1 = Pizza.objects.create(name='Margherita') self.obj_2 = Pizza.objects.create(name='Funghi') self.obj_3 = Pizza.objects.create(name='Double Dutch') self.topping_1 = Topping.objects.create(name='Mushrooms') self.topping_2 = Topping.objects.create(name='Cheese') self.topping_3 = Topping.objects.create(name='Onions') self.obj_2.toppings.add(self.topping_1) self.obj_3.toppings.add(self.topping_2, self.topping_3) def test_obj_1(self): # no commit self.assertEqual(self.obj_1.networth(realtime=True), 1) self.assertEqual(self.obj_1._networth, 1) # commit self.assertEqual(self.obj_1.networth(commit=True), 1) self.assertEqual(self.obj_1._networth, 1) # relative self.assertEqual(self.obj_1.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_1._relative_networth, 100) def test_obj_2(self): # no commit self.assertEqual(self.obj_2.networth(realtime=True), 2) self.assertEqual(self.obj_2._networth, 1) # commit self.assertEqual(self.obj_2.networth(realtime=True, commit=True), 2) self.assertEqual(self.obj_2._networth, 2) # relative self.assertEqual(self.obj_2.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_2._relative_networth, 100) def test_obj_3(self): # no commit self.assertEqual(self.obj_3.networth(realtime=True), 3) self.assertEqual(self.obj_3._networth, 1) # commit self.assertEqual(self.obj_3.networth(realtime=True, commit=True), 3) self.assertEqual(self.obj_3._networth, 3) # relative self.assertEqual(self.obj_3.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_3._relative_networth, 100) def test_relative_networth_multiple_objects(self): # no commit self.assertEqual(self.obj_1.networth(realtime=True), 1) self.assertEqual(self.obj_2.networth(realtime=True), 2) self.assertEqual(self.obj_3.networth(realtime=True), 3) # OBJ 1 # commit self.assertEqual(self.obj_1.networth(commit=True), 1) self.assertEqual(self.obj_1._networth, 1) # relative self.assertEqual(self.obj_1.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_1._relative_networth, 100) # OBJ 2 # commit self.assertEqual(self.obj_2.networth(realtime=True, commit=True), 2) self.assertEqual(self.obj_2._networth, 2) # relative self.assertEqual(self.obj_2.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_2._relative_networth, 100) # re-test previous object(s) self.assertEqual(self.obj_1.relative_networth(realtime=True, commit=True), 50) self.assertEqual(self.obj_1._relative_networth, 50) # OBJ 3 # commit self.assertEqual(self.obj_3.networth(realtime=True, commit=True), 3) self.assertEqual(self.obj_3._networth, 3) # relative self.assertEqual(self.obj_3.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_3._relative_networth, 100) # re-test previous object(s) self.assertEqual(self.obj_1.relative_networth(realtime=True, commit=True), 33) self.assertEqual(self.obj_1._relative_networth, 33) self.assertEqual(self.obj_2.relative_networth(realtime=True, commit=True), 66) self.assertEqual(self.obj_2._relative_networth, 66) # OBJ 2 UPGRADE self.obj_2.toppings.add(self.topping_2, self.topping_3) # commit self.assertEqual(self.obj_2.networth(realtime=True, commit=True), 4) self.assertEqual(self.obj_2._networth, 4) # relative self.assertEqual(self.obj_2.relative_networth(realtime=True, commit=True), 100) self.assertEqual(self.obj_2._relative_networth, 100) # re-test previous object(s) self.assertEqual(self.obj_1.relative_networth(realtime=True, commit=True), 25) self.assertEqual(self.obj_1._relative_networth, 25) self.assertEqual(self.obj_3.relative_networth(realtime=True, commit=True), 75) self.assertEqual(self.obj_3._relative_networth, 75) # OBJ 2 DOWNGRADE self.obj_2.toppings.remove(self.topping_2, self.topping_3) # commit self.assertEqual(self.obj_2.networth(realtime=True, commit=True), 2) self.assertEqual(self.obj_2._networth, 2) # relative self.assertEqual(self.obj_2.relative_networth(realtime=True, commit=True), 66) self.assertEqual(self.obj_2._relative_networth, 66) # re-test previous object(s) # self.assertEqual(self.obj_1.networth(realtime=True, commit=True), 1) # self.assertEqual(self.obj_1._networth, 1) # self.assertEqual(self.obj_3.networth(realtime=True, commit=True), 3) # self.assertEqual(self.obj_3._networth, 3) # # self.assertEqual(self.obj_1.relative_networth(realtime=True, commit=True), 33) # self.assertEqual(self.obj_1._relative_networth, 33) # self.assertEqual(self.obj_3.relative_networth(realtime=True, commit=True), 100) # self.assertEqual(self.obj_3._relative_networth, 100)

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0.304537

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38.183673

0.779116

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null

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1

0

null

0

1

0

9

3b4ed99a466cfa1abfeb469aee245dbcdffb73a6

89,631

py

Python

localnet/excluded_tests/test_staking.py

3100/harmony-test

4bd83656447248ae94a758ea49d3b7e83367d45b

[ "MIT" ]

6

2020-07-10T13:39:39.000Z

2021-04-27T16:17:34.000Z

localnet/excluded_tests/test_staking.py

3100/harmony-test

4bd83656447248ae94a758ea49d3b7e83367d45b

[ "MIT" ]

4

2020-10-30T20:42:18.000Z

2021-05-06T16:27:54.000Z

localnet/excluded_tests/test_staking.py

3100/harmony-test

4bd83656447248ae94a758ea49d3b7e83367d45b

[ "MIT" ]

9

2021-04-03T07:59:13.000Z

2022-01-14T05:13:29.000Z

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Tests here are related to staking functions & require a feedback loop with the chain. TODO: negative test cases As with all tests, there are 2 JSON-RPC versions/namespaces (v1 & v2) where their difference is only suppose to be in the types of their params & returns. v1 keeps everything in hex and v2 uses decimal when possible. However, there are some (legacy) discrepancies that some tests enforce. These tests are noted and should NOT be broken. """ import json import time import random import traceback import pytest from flaky import flaky from pyhmy import ( blockchain, staking ) from pyhmy.rpc.request import ( base_request ) import txs from txs import ( tx_timeout, beacon_shard_id, initial_funding, endpoints, send_and_confirm_staking_transaction, send_staking_transaction, get_staking_transaction ) from utils import ( check_and_unpack_rpc_response, assert_valid_json_structure, mutually_exclusive_test, rerun_delay_filter, assert_no_null_in_list ) _mutex_scope = "staking" def _assert_validator_info(validator_data, validator_info): """ Helper function to check `validator_info` with the given `validator_data`. Validator data is expected to follow `stx` in s0_validator & s1_validator """ val = validator_info["validator"] for attr in ["name", "identity", "website", "security-contact", "details"]: assert validator_data[attr] == val[attr], f"Expected {validator_data[attr]}, got {val[attr]}" for attr in ["rate", "max-rate", "max-change-rate"]: assert validator_data[attr] == float(val[attr]), f"Expected {validator_data[attr]}, got {val[attr]}" for attr in ["min-self-delegation", "max-total-delegation"]: assert validator_data[attr] * 1e18 == float(val[attr]), f"Expected {validator_data[attr]}, got {val[attr]}" assert validator_data["pub-bls-key"] in val[ "bls-public-keys"], f"Expected pub-bls-key {validator_data['pub-bls-key']} " \ f"in {val['bls-public-keys']}" @pytest.fixture(scope="module") @txs.staking def s0_validator(): """ Fixture for the shard 0 validator (with a running external node). Returns the validator's create validator transaction (`stx`) """ stx = { "validator-addr": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegator-addr": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "name": "test", "identity": "test0", "website": "test", "security-contact": "test", "details": "test", "rate": 0.1, "max-rate": 0.9, "max-change-rate": 0.05, "min-self-delegation": 10000, "max-total-delegation": 10000000, "amount": 10000, "pub-bls-key": "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c", "hash": "0xf80460f1ad041a0a0e841da717fc5b7959b1a7e9a0ce9a25cd70c0ce40d5ff26", "nonce": "0x0", "signed-raw-tx": "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" } in_initially_funded = False for tx in initial_funding: if tx["to"] == stx["validator-addr"] and tx["to-shard"] == beacon_shard_id: in_initially_funded = True break if not in_initially_funded: raise AssertionError(f"Test staking transaction from address {stx['validator-addr']} " f"not found in set of initially funded accounts (or not founded on s{beacon_shard_id})") if get_staking_transaction(stx["hash"]) is None: tx = send_and_confirm_staking_transaction(stx) assert tx["hash"] == stx["hash"], f"Expected create validator transaction hash to be {stx['hash']}, " \ f"got {tx['hash']}" assert get_staking_transaction(stx["hash"]) is not None, f"Transaction (hash {stx['hash']}) not found on chain." return stx @pytest.fixture(scope="module") @txs.staking def s1_validator(): """ Fixture for the shard 1 validator (with a running external node). Returns the validator's create validator transaction (`stx`) """ stx = { "validator-addr": "one1nmy8quw0924fss4r9km640pldzqegjk4wv4wts", "delegator-addr": "one1nmy8quw0924fss4r9km640pldzqegjk4wv4wts", "name": "test", "identity": "test1", "website": "test", "security-contact": "test", "details": "test", "rate": 0.1, "max-rate": 0.9, "max-change-rate": 0.05, "min-self-delegation": 10000, "max-total-delegation": 10000000, "amount": 10000, #"pub-bls-key": "5e2f14abeadf0e759beb1286ed6095d9d1b2d64ad394316991161c6f95237710e0a4beda8adeaefde4844ab4c4b2bf98", "pub-bls-key": "5e2f14abeadf0e759beb1286ed6095d9d1b2d64ad394316991161c6f95237710e0a4beda8adeaefde4844ab4c4b2bf98", "hash": "0x37743ed5a112e54134d610b18284ab8967c926a2d53eaf23ba836431cf9bd96a", "nonce": "0x0", "signed-raw-tx": "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" } in_initially_funded = False for tx in initial_funding: if tx["to"] == stx["validator-addr"] and tx["to-shard"] == beacon_shard_id: in_initially_funded = True break if not in_initially_funded: raise AssertionError(f"Test staking transaction from address {stx['validator-addr']} " f"not found in set of initially funded accounts (or not founded on s{beacon_shard_id})") if get_staking_transaction(stx["hash"]) is None: tx = send_and_confirm_staking_transaction(stx) assert tx["hash"] == stx["hash"], f"Expected create validator transaction hash to be {stx['hash']}, " \ f"got {tx['hash']}" assert get_staking_transaction(stx["hash"]) is not None, f"Transaction (hash {stx['hash']}) not found on chain." return stx @txs.staking @mutually_exclusive_test(scope=_mutex_scope) @pytest.mark.run(after="test_get_validator_information") def test_delegation(s1_validator): """ Note that this is not an explicit RPC test. It just tests that delegation works. """ stx = { "validator-addr": "one1nmy8quw0924fss4r9km640pldzqegjk4wv4wts", "delegator-addr": "one1v895jcvudcktswcmg2sldvmxvtvvdj2wuxj3hx", # web topple now acid repeat inspire tomato inside nominee reflect latin salmon garbage negative liberty win royal faith hammer lawsuit west toddler payment coffee "amount": 10000, "hash": "0x832e5af2305167d5d9a891c51eafc6510c89bbc76c01818e4ce02de0fc8c854e", "nonce": "0x0", "signed-raw-tx": "0xf88302f59461cb49619c6e2cb83b1b42a1f6b36662d8c6c94e949ec87071cf2aaa9842a32db7aabc3f6881944ad58a021e19e0c9bab240000080843b9aca00825fe027a0d8912da6a925af17701a2600df60e90fa4a61858b51758a03f57ac9d2797dc0ca004313c6865bde8704594be44d3ebbadfa6420922eef73d38ffba8ec42d8d3550" } assert stx["validator-addr"] == s1_validator["validator-addr"], f"Sanity check: Expected validator address " \ f"to be {s1_validator['validator-addr']}" submitted_tx = False if get_staking_transaction(stx["hash"]) is None: tx = send_and_confirm_staking_transaction(stx) submitted_tx = True assert tx["hash"] == stx["hash"], f"Expected contract transaction hash to be {stx['hash']}, " \ f"got {tx['hash']}" assert get_staking_transaction(stx["hash"]) is not None, f"Transaction (hash {stx['hash']}) not found on chain." validator_info = staking.get_validator_information(stx["validator-addr"], endpoint=endpoints[beacon_shard_id]) for delegation in validator_info["validator"]["delegations"]: if delegation["delegator-address"] == stx["delegator-addr"]: if submitted_tx: assert delegation["amount"] == stx[ "amount"] * 1e18, f"Expected delegated amount to be {stx['amount']} ONE" return raise AssertionError(f"New delegation from {stx['delegator-addr']} not found on validator {stx['validator-addr']}") @txs.staking @mutually_exclusive_test(scope=_mutex_scope) @pytest.mark.run(after="test_delegation") @flaky(max_runs=6) def test_undelegation(s1_validator): """ Note that this is not an explicit RPC test. It just tests that undelegation works. """ stx = { "validator-addr": "one1nmy8quw0924fss4r9km640pldzqegjk4wv4wts", "delegator-addr": "one1v895jcvudcktswcmg2sldvmxvtvvdj2wuxj3hx", # web topple now acid repeat inspire tomato inside nominee reflect latin salmon garbage negative liberty win royal faith hammer lawsuit west toddler payment coffee "amount": 10000, "hash": "0x79d27d042c157a4c1cdcbe931155515bfdd78d3162be79d348bab33113d8e08e", "nonce": "0x1", "signed-raw-tx": "0xf88203f49461cb49619c6e2cb83b1b42a1f6b36662d8c6c94e949ec87071cf2aaa9842a32db7aabc3f6881944ad5891b1ae4d6e2ef50000001843b9aca00825f9c28a0d12eb6e84a48356e079319642902b5c203806cba6960a3da2b5c43cf8021f510a00a73e7315c3ef773995eb3ebac033ab6c6b60b032f294af944f161d8e9ca2d4e" } assert stx["validator-addr"] == s1_validator["validator-addr"], f"Sanity check: Expected validator address " \ f"to be {s1_validator['validator-addr']}" submitted_tx = False if get_staking_transaction(stx["hash"]) is None: tx = send_and_confirm_staking_transaction(stx) submitted_tx = True assert tx["hash"] == stx["hash"], f"Expected contract transaction hash to be {stx['hash']}, " \ f"got {tx['hash']}" assert get_staking_transaction(stx["hash"]) is not None, f"Transaction (hash {stx['hash']}) not found on chain." validator_info = staking.get_validator_information(stx["validator-addr"], endpoint=endpoints[beacon_shard_id]) for delegation in validator_info["validator"]["delegations"]: if delegation["delegator-address"] == stx["delegator-addr"]: if submitted_tx: assert len( delegation["undelegations"]) > 0, f"Expected undelegations on validator {stx['validator-addr']}" return raise AssertionError(f"New delegation from {stx['delegator-addr']} not found on validator {stx['validator-addr']}") @txs.staking @pytest.mark.run('first') def test_get_all_validator_addresses(s0_validator, s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ 'one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e', 'one1nmy8quw0924fss4r9km640pldzqegjk4wv4wts' ] # Check v1 raw_response = base_request("hmy_getAllValidatorAddresses", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert s0_validator["validator-addr"] in response, f"Expected validator {s0_validator['validator-addr']} " \ f"in validator list {response}" assert s1_validator["validator-addr"] in response, f"Expected validator {s1_validator['validator-addr']} " \ f"in validator list {response}" # Check v2 raw_response = base_request("hmyv2_getAllValidatorAddresses", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert s0_validator["validator-addr"] in response, f"Expected validator {s0_validator['validator-addr']} " \ f"in validator list {response}" assert s1_validator["validator-addr"] in response, f"Expected validator {s1_validator['validator-addr']} " \ f"in validator list {response}" @txs.staking def test_get_transaction_receipt_v1(s0_validator): reference_response = { "blockHash": "0x5890ceb902713f4f32f80764359e5b2ffec1fd84ad6f0bf75d5c22a6f1530d1d", "blockNumber": "0x7", "contractAddress": None, "cumulativeGasUsed": "0x5121c4", "gasUsed": "0x5121c4", "logs": [], "logsBloom": "0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "sender": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "status": "0x1", "transactionHash": "0xf80460f1ad041a0a0e841da717fc5b7959b1a7e9a0ce9a25cd70c0ce40d5ff26", "transactionIndex": "0x0", "type": 0 } raw_response = base_request("hmy_getTransactionReceipt", params=[s0_validator["hash"]], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response["transactionHash"] == s0_validator["hash"], f"Expected transaction {s0_validator['hash']}, " \ f"got {response['transactionHash']}" @txs.staking def test_get_transaction_receipt_v2(s0_validator): reference_response = { "blockHash": "0x5890ceb902713f4f32f80764359e5b2ffec1fd84ad6f0bf75d5c22a6f1530d1d", "blockNumber": 7, "contractAddress": None, "cumulativeGasUsed": 5317060, "gasUsed": 5317060, "logs": [], "logsBloom": "0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "sender": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "status": 1, "transactionHash": "0xf80460f1ad041a0a0e841da717fc5b7959b1a7e9a0ce9a25cd70c0ce40d5ff26", "transactionIndex": 0, "type": 0 } raw_response = base_request("hmyv2_getTransactionReceipt", params=[s0_validator["hash"]], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response["transactionHash"] == s0_validator["hash"], f"Expected transaction {s0_validator['hash']}, " \ f"got {response['transactionHash']}" @txs.staking def test_get_staking_transactions_count(s0_validator): """ Note that v1 & v2 have the same responses. """ reference_response = 0 # Check v1, SENT raw_response = base_request("hmy_getStakingTransactionsCount", params=[s0_validator["validator-addr"], "SENT"], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response == 1, f"Expected account {s0_validator['validator-addr']} to have 1 sent transactions" # Check v1, SENT raw_response = base_request("hmyv2_getStakingTransactionsCount", params=[s0_validator["validator-addr"], "SENT"], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response == 1, f"Expected account {s0_validator['validator-addr']} to have 1 sent transactions" # Check v1, RECEIVED raw_response = base_request("hmy_getStakingTransactionsCount", params=[s0_validator["validator-addr"], "RECEIVED"], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response == 0, f"Expected account {s0_validator['validator-addr']} to have 0 received transactions" # Check v1, RECEIVED raw_response = base_request("hmyv2_getStakingTransactionsCount", params=[s0_validator["validator-addr"], "RECEIVED"], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response == 0, f"Expected account {s0_validator['validator-addr']} to have 0 received transactions" # Check v1, ALL raw_response = base_request("hmy_getStakingTransactionsCount", params=[s0_validator["validator-addr"], "ALL"], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response == 1, f"Expected account {s0_validator['validator-addr']} to have 1 total transactions" # Check v1, ALL raw_response = base_request("hmyv2_getStakingTransactionsCount", params=[s0_validator["validator-addr"], "ALL"], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert response == 1, f"Expected account {s0_validator['validator-addr']} to have 1 total transactions" @txs.staking def test_get_all_validator_information(s0_validator, s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ { "validator": { "bls-public-keys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "last-epoch-in-committee": 0, "min-self-delegation": 10000000000000000000000, "max-total-delegation": 10000000000000000000000000, "rate": "0.100000000000000000", "max-rate": "0.900000000000000000", "max-change-rate": "0.050000000000000000", "update-height": 4, "name": "test", "identity": "test0", "website": "test", "security-contact": "test", "details": "test", "creation-height": 4, "address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegations": [ { "delegator-address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "undelegations": [] } ] }, "current-epoch-performance": { "current-epoch-signing-percent": { "current-epoch-signed": 0, "current-epoch-to-sign": 0, "current-epoch-signing-percentage": "0.000000000000000000" } }, "metrics": None, "total-delegation": 10000000000000000000000, "currently-in-committee": True, "epos-status": "currently elected", "epos-winning-stake": None, "booted-status": "not booted", "active-status": "active", "lifetime": { "reward-accumulated": 0, "blocks": { "to-sign": 0, "signed": 0 }, "apr": "0.000000000000000000", "epoch-apr": None } } ] # Check v1 raw_response = base_request("hmy_getAllValidatorInformation", params=[0], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0, found_s1 = False, False for validator in response: if validator["validator"]["address"] == s0_validator["validator-addr"]: found_s0 = True _assert_validator_info(s0_validator, validator) elif validator["validator"]["address"] == s1_validator["validator-addr"]: found_s1 = True _assert_validator_info(s1_validator, validator) for delegation in validator["validator"]["delegations"]: assert_no_null_in_list(delegation["undelegations"]) assert found_s0 and found_s1, f"Expected to find validator information for " \ f"{s0_validator['validator-addr']} and {s1_validator['validator-addr']}" # Check v2 raw_response = base_request("hmyv2_getAllValidatorInformation", params=[0], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0, found_s1 = False, False for validator in response: if validator["validator"]["address"] == s0_validator["validator-addr"]: found_s0 = True _assert_validator_info(s0_validator, validator) elif validator["validator"]["address"] == s1_validator["validator-addr"]: found_s1 = True _assert_validator_info(s1_validator, validator) for delegation in validator["validator"]["delegations"]: assert_no_null_in_list(delegation["undelegations"]) assert found_s0 and found_s1, f"Expected to found validator information for " \ f"{s0_validator['validator-addr']} and {s1_validator['validator-addr']}" @txs.staking def test_get_validator_information(s0_validator): """ Note that v1 & v2 have the same responses. """ reference_response = { "validator": { "bls-public-keys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "last-epoch-in-committee": 0, "min-self-delegation": 10000000000000000000000, "max-total-delegation": 10000000000000000000000000, "rate": "0.100000000000000000", "max-rate": "0.900000000000000000", "max-change-rate": "0.050000000000000000", "update-height": 4, "name": "test", "identity": "test0", "website": "test", "security-contact": "test", "details": "test", "creation-height": 4, "address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegations": [ { "delegator-address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "undelegations": [] } ] }, "current-epoch-performance": { "current-epoch-signing-percent": { "current-epoch-signed": 0, "current-epoch-to-sign": 0, "current-epoch-signing-percentage": "0.000000000000000000" } }, "metrics": None, "total-delegation": 10000000000000000000000, "currently-in-committee": True, "epos-status": "currently elected", "epos-winning-stake": None, "booted-status": "not booted", "active-status": "active", "lifetime": { "reward-accumulated": 0, "blocks": { "to-sign": 0, "signed": 0 }, "apr": "0.000000000000000000", "epoch-apr": None } } # Check v1 raw_response = base_request("hmy_getValidatorInformation", params=[s0_validator["validator-addr"]], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) _assert_validator_info(s0_validator, response) for delegation in response["validator"]["delegations"]: assert_no_null_in_list(delegation["undelegations"]) # Check v2 raw_response = base_request("hmyv2_getValidatorInformation", params=[s0_validator["validator-addr"]], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) _assert_validator_info(s0_validator, response) for delegation in response["validator"]["delegations"]: assert_no_null_in_list(delegation["undelegations"]) @txs.staking def test_get_validator_information_by_block_number(s0_validator): """ Note that v1 & v2 have the same responses. """ reference_response = { "validator": { "bls-public-keys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "last-epoch-in-committee": 0, "min-self-delegation": 10000000000000000000000, "max-total-delegation": 10000000000000000000000000, "rate": "0.100000000000000000", "max-rate": "0.900000000000000000", "max-change-rate": "0.050000000000000000", "update-height": 4, "name": "test", "identity": "test0", "website": "test", "security-contact": "test", "details": "test", "creation-height": 4, "address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegations": [ { "delegator-address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "undelegations": [] } ] }, "current-epoch-performance": { "current-epoch-signing-percent": { "current-epoch-signed": 0, "current-epoch-to-sign": 0, "current-epoch-signing-percentage": "0.000000000000000000" } }, "metrics": None, "total-delegation": 10000000000000000000000, "currently-in-committee": True, "epos-status": "currently elected", "epos-winning-stake": None, "booted-status": "not booted", "active-status": "active", "lifetime": { "reward-accumulated": 0, "blocks": { "to-sign": 0, "signed": 0 }, "apr": "0.000000000000000000", "epoch-apr": None } } curr_block = blockchain.get_block_number(endpoint=endpoints[beacon_shard_id]) # Check v1 raw_response = base_request("hmy_getValidatorInformationByBlockNumber", params=[s0_validator["validator-addr"], hex(curr_block)], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) _assert_validator_info(s0_validator, response) # Check v2 raw_response = base_request("hmyv2_getValidatorInformationByBlockNumber", params=[s0_validator["validator-addr"], curr_block], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) _assert_validator_info(s0_validator, response) @txs.staking def test_get_all_validator_information_by_block_number(s0_validator, s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ { "validator": { "bls-public-keys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "last-epoch-in-committee": 0, "min-self-delegation": 10000000000000000000000, "max-total-delegation": 10000000000000000000000000, "rate": "0.100000000000000000", "max-rate": "0.900000000000000000", "max-change-rate": "0.050000000000000000", "update-height": 4, "name": "test", "identity": "test0", "website": "test", "security-contact": "test", "details": "test", "creation-height": 4, "address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegations": [ { "delegator-address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "undelegations": [] } ] }, "current-epoch-performance": { "current-epoch-signing-percent": { "current-epoch-signed": 0, "current-epoch-to-sign": 0, "current-epoch-signing-percentage": "0.000000000000000000" } }, "metrics": None, "total-delegation": 10000000000000000000000, "currently-in-committee": True, "epos-status": "currently elected", "epos-winning-stake": None, "booted-status": "not booted", "active-status": "active", "lifetime": { "reward-accumulated": 0, "blocks": { "to-sign": 0, "signed": 0 }, "apr": "0.000000000000000000", "epoch-apr": None } } ] curr_block = blockchain.get_block_number(endpoint=endpoints[beacon_shard_id]) # Check v1 raw_response = base_request("hmy_getAllValidatorInformationByBlockNumber", params=[0, hex(curr_block)], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0, found_s1 = False, False for validator in response: if validator["validator"]["address"] == s0_validator["validator-addr"]: found_s0 = True _assert_validator_info(s0_validator, validator) elif validator["validator"]["address"] == s1_validator["validator-addr"]: found_s1 = True _assert_validator_info(s1_validator, validator) assert found_s0 and found_s1, f"Expected to found validator information for " \ f"{s0_validator['validator-addr']} and {s0_validator['validator-addr']}" # Check v2 raw_response = base_request("hmyv2_getAllValidatorInformationByBlockNumber", params=[0, curr_block], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0, found_s1 = False, False for validator in response: if validator["validator"]["address"] == s0_validator["validator-addr"]: found_s0 = True _assert_validator_info(s0_validator, validator) elif validator["validator"]["address"] == s1_validator["validator-addr"]: found_s1 = True _assert_validator_info(s1_validator, validator) assert found_s0 and found_s1, f"Expected to found validator information for " \ f"{s0_validator['validator-addr']} and {s0_validator['validator-addr']}" @txs.staking @flaky(max_runs=6, rerun_filter=rerun_delay_filter(delay=8)) @pytest.mark.run(after="test_get_validator_information") def test_get_elected_validator_addresses(s0_validator, s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ 'one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e', 'one1nmy8quw0924fss4r9km640pldzqegjk4wv4wts' ] staking_epoch = blockchain.get_staking_epoch(endpoints[beacon_shard_id]) curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] val_0_info = staking.get_validator_information(s0_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) val_1_info = staking.get_validator_information(s1_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) s0_creation_epoch = int(blockchain.get_block_by_number(val_0_info["validator"]["creation-height"])["epoch"], 16) s1_creation_epoch = int(blockchain.get_block_by_number(val_1_info["validator"]["creation-height"])["epoch"], 16) while curr_epoch <= s0_creation_epoch or curr_epoch <= s1_creation_epoch or curr_epoch < staking_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] # Check v1 raw_response = base_request("hmy_getElectedValidatorAddresses", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert s0_validator["validator-addr"] in response, f"Expected validator {s0_validator['validator-addr']} " \ f"in elected validator list {response}" #assert s1_validator["validator-addr"] in response, f"Expected validator {s1_validator['validator-addr']} " \ # f"in elected validator list {response}" # Check v2 raw_response = base_request("hmyv2_getElectedValidatorAddresses", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert s0_validator["validator-addr"] in response, f"Expected validator {s0_validator['validator-addr']} " \ f"in elected validator list {response}" #assert s1_validator["validator-addr"] in response, f"Expected validator {s1_validator['validator-addr']} " \ # f"in elected validator list {response}" @txs.staking @pytest.mark.run(after="test_delegation") def test_get_delegations_by_delegator(s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ { "validator_address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegator_address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "Undelegations": [] }, ] val_addr = s1_validator["validator-addr"] validator_info = staking.get_validator_information(val_addr, endpoint=endpoints[beacon_shard_id]) for delegator in validator_info["validator"]["delegations"]: # Check v1 del_addr = delegator["delegator-address"] raw_response = base_request("hmy_getDelegationsByDelegator", params=[del_addr], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert_no_null_in_list(response) found_validator = False for del_delegator in response: assert_no_null_in_list(del_delegator["Undelegations"]) if del_delegator["validator_address"] == val_addr: found_validator = True assert del_addr == del_delegator["delegator_address"], f"Expected delegator address {del_addr}, " \ f"got {del_delegator['delegator_address']}" assert found_validator, f"Expected to found validator {val_addr} in {json.dumps(response, indent=2)}" # Check v2 raw_response = base_request("hmyv2_getDelegationsByDelegator", params=[del_addr], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert_no_null_in_list(response) found_validator = False for del_delegator in response: assert_no_null_in_list(del_delegator["Undelegations"]) if del_delegator["validator_address"] == val_addr: found_validator = True assert del_addr == del_delegator["delegator_address"], f"Expected delegator address {del_addr}, " \ f"got {del_delegator['delegator_address']}" assert found_validator, f"Expected to found validator {val_addr} in {json.dumps(response, indent=2)}" @txs.staking @mutually_exclusive_test(scope=_mutex_scope) @pytest.mark.run(after="test_delegation") def test_get_delegations_by_delegator_by_block_number(s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ { "validator_address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegator_address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "Undelegations": [] }, ] curr_block = blockchain.get_block_number(endpoint=endpoints[beacon_shard_id]) val_addr = s1_validator["validator-addr"] validator_info = staking.get_validator_information(val_addr, endpoint=endpoints[beacon_shard_id]) for delegator in validator_info["validator"]["delegations"]: # Check v1 del_addr = delegator["delegator-address"] raw_response = base_request("hmy_getDelegationsByDelegatorByBlockNumber", params=[del_addr, hex(curr_block)], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert_no_null_in_list(response) found_validator = False for del_delegator in response: assert_no_null_in_list(del_delegator["Undelegations"]) if del_delegator["validator_address"] == val_addr: found_validator = True assert del_addr == del_delegator["delegator_address"], f"Expected delegator address {del_addr}, " \ f"got {del_delegator['delegator_address']}" assert found_validator, f"Expected to found validator {val_addr} in {json.dumps(response, indent=2)}" # Check v2 raw_response = base_request("hmyv2_getDelegationsByDelegatorByBlockNumber", params=[del_addr, curr_block], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert_no_null_in_list(response) found_validator = False for del_delegator in response: assert_no_null_in_list(del_delegator["Undelegations"]) if del_delegator["validator_address"] == val_addr: found_validator = True assert del_addr == del_delegator["delegator_address"], f"Expected delegator address {del_addr}, " \ f"got {del_delegator['delegator_address']}" assert found_validator, f"Expected to found validator {val_addr} in {json.dumps(response, indent=2)}" @txs.staking @mutually_exclusive_test(scope=_mutex_scope) @pytest.mark.run(after="test_delegation") def test_get_delegations_by_validator(s1_validator): """ Note that v1 & v2 have the same responses. """ reference_response = [ { "validator_address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "delegator_address": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "amount": 10000000000000000000000, "reward": 0, "Undelegations": [] }, ] val_addr = s1_validator["validator-addr"] validator_info = staking.get_validator_information(val_addr, endpoint=endpoints[beacon_shard_id]) val_del_addrs = {d["delegator-address"] for d in validator_info["validator"]["delegations"]} # Check v1 raw_response = base_request("hmy_getDelegationsByValidator", params=[val_addr], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert_no_null_in_list(response) for del_delegator in response: assert_no_null_in_list(del_delegator["Undelegations"]) del_val_addr, del_del_addr = del_delegator["validator_address"], del_delegator["delegator_address"] assert del_val_addr == val_addr, f"Expected validator addr {val_addr}, got {del_val_addr}" assert del_del_addr in val_del_addrs, f"Expected delegator addr {val_addr} in {val_del_addrs}" # Check v2 raw_response = base_request("hmyv2_getDelegationsByValidator", params=[val_addr], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) for del_delegator in response: del_val_addr, del_del_addr = del_delegator["validator_address"], del_delegator["delegator_address"] assert del_val_addr == val_addr, f"Expected validator addr {val_addr}, got {del_val_addr}" assert del_del_addr in val_del_addrs, f"Expected delegator addr {val_addr} in {val_del_addrs}" @txs.staking def test_get_current_utility_metrics(s0_validator): """ Note that v1 & v2 have the same responses. """ reference_response = { "AccumulatorSnapshot": 5768000000000000000000, "CurrentStakedPercentage": "0.000004311108610723", "Deviation": "0.349995688891389277", "Adjustment": "13999827555655571080.000000000000000000" } # Check v1 raw_response = base_request("hmy_getCurrentUtilityMetrics", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) # Check v2 raw_response = base_request("hmyv2_getCurrentUtilityMetrics", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) @txs.staking @flaky(max_runs=6, rerun_filter=rerun_delay_filter(delay=8)) @pytest.mark.run(after="test_get_validator_information") def test_get_median_raw_stake_snapshot(s0_validator): """ Note that v1 & v2 have the same responses. Use shard 0 endpoint, NOT beacon endpoint as we are checking with `s0_validator` """ reference_response = { "epos-median-stake": "10000000000000000000000.000000000000000000", "max-external-slots": 6, "epos-slot-winners": [ { "slot-owner": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "bls-public-key": "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c", "raw-stake": "10000000000000000000000.000000000000000000", "eposed-stake": "10000000000000000000000.000000000000000000" } ], "epos-slot-candidates": [ { "stake": 10000000000000000000000, "keys-at-auction": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "percentage-of-total-auction-stake": "1.000000000000000000", "stake-per-key": 10000000000000000000000, "validator": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e" } ] } staking_epoch = blockchain.get_staking_epoch(endpoints[beacon_shard_id]) curr_epoch = blockchain.get_latest_header(endpoint=endpoints[0])["epoch"] val_0_info = staking.get_validator_information(s0_validator["validator-addr"], endpoint=endpoints[0]) s0_creation_epoch = int(blockchain.get_block_by_number(val_0_info["validator"]["creation-height"])["epoch"], 16) while curr_epoch <= s0_creation_epoch or curr_epoch < staking_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] # First block of an epoch does not have correct snapshot, wait for next block. curr_block = blockchain.get_latest_header(endpoint=endpoints[0])["blockNumber"] prev_block_epoch = int(blockchain.get_block_by_number(curr_block - 1)["epoch"], 16) while prev_block_epoch != curr_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_block = blockchain.get_latest_header(endpoint=endpoints[0])["blockNumber"] prev_block_epoch = int(blockchain.get_block_by_number(curr_block - 1)["epoch"], 16) # Check v1 raw_response = base_request("hmy_getMedianRawStakeSnapshot", params=[], endpoint=endpoints[0]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0_winner, found_s0_candidate = False, False for val in response["epos-slot-winners"]: if val["slot-owner"] == s0_validator["validator-addr"]: found_s0_winner = True break assert found_s0_winner, f"Expected validator {s0_validator['validator-addr']} to win election" for val in response["epos-slot-candidates"]: if val["validator"] == s0_validator["validator-addr"]: found_s0_candidate = True break assert found_s0_candidate, f"Expected validator {s0_validator['validator-addr']} to be candidate for next epoch" # Check v2 raw_response = base_request("hmyv2_getMedianRawStakeSnapshot", params=[], endpoint=endpoints[0]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0_winner, found_s0_candidate = False, False for val in response["epos-slot-winners"]: if val["slot-owner"] == s0_validator["validator-addr"]: found_s0_winner = True break assert found_s0_winner, f"Expected validator {s0_validator['validator-addr']} to win election" for val in response["epos-slot-candidates"]: if val["validator"] == s0_validator["validator-addr"]: found_s0_candidate = True break assert found_s0_candidate, f"Expected validator {s0_validator['validator-addr']} to be candidate for next epoch" @txs.staking @flaky(max_runs=6, rerun_filter=rerun_delay_filter(delay=8)) @pytest.mark.run(after="test_get_median_raw_stake_snapshot") def test_get_super_committees(s0_validator): """ Note that v1 & v2 have the same responses. """ reference_response = { "previous": { "quorum-deciders": { "shard-0": { "policy": "SuperMajorityStake", "count": 7, "external-validator-slot-count": 1, "committee-members": [ { "is-harmony-slot": True, "earning-account": "one1spshr72utf6rwxseaz339j09ed8p6f8ke370zj", "bls-public-key": "2d61379e44a772e5757e27ee2b3874254f56073e6bd226eb8b160371cc3c18b8c4977bd3dcb71fd57dc62bf0e143fd08", "voting-power-unnormalized": "0.166666666666666666", "voting-power-%": "0.113333333333333333" }, ], "hmy-voting-power": "0.679999999999999998", "staked-voting-power": "0.320000000000000002", "total-raw-stake": "10000000000000000000000.000000000000000000", "total-effective-stake": "10000000000000000000000.000000000000000000" }, "shard-1": { "policy": "SuperMajorityStake", "count": 6, "external-validator-slot-count": 0, "committee-members": [ { "is-harmony-slot": True, "earning-account": "one1m6m0ll3q7ljdqgmth2t5j7dfe6stykucpj2nr5", "bls-public-key": "40379eed79ed82bebfb4310894fd33b6a3f8413a78dc4d43b98d0adc9ef69f3285df05eaab9f2ce5f7227f8cb920e809", "voting-power-unnormalized": "0.166666666666666666", "voting-power-%": "0.113333333333333333" }, ], "hmy-voting-power": "0.679999999999999998", "staked-voting-power": "0.000000000000000000", "total-raw-stake": "0.000000000000000000", "total-effective-stake": "0.000000000000000000" } }, "external-slot-count": 6, "epos-median-stake": "10000000000000000000000.000000000000000000" }, "current": { "quorum-deciders": { "shard-0": { "policy": "SuperMajorityStake", "count": 7, "external-validator-slot-count": 1, "committee-members": [ { "is-harmony-slot": True, "earning-account": "one1pdv9lrdwl0rg5vglh4xtyrv3wjk3wsqket7zxy", "bls-public-key": "65f55eb3052f9e9f632b2923be594ba77c55543f5c58ee1454b9cfd658d25e06373b0f7d42a19c84768139ea294f6204", "voting-power-unnormalized": "0.166666666666666666", "voting-power-%": "0.113333333333333333" }, ], "hmy-voting-power": "0.679999999999999998", "staked-voting-power": "0.320000000000000002", "total-raw-stake": "10000000000000000000000.000000000000000000", "total-effective-stake": "10000000000000000000000.000000000000000000" }, "shard-1": { "policy": "SuperMajorityStake", "count": 6, "external-validator-slot-count": 0, "committee-members": [ { "is-harmony-slot": True, "earning-account": "one1m6m0ll3q7ljdqgmth2t5j7dfe6stykucpj2nr5", "bls-public-key": "40379eed79ed82bebfb4310894fd33b6a3f8413a78dc4d43b98d0adc9ef69f3285df05eaab9f2ce5f7227f8cb920e809", "voting-power-unnormalized": "0.166666666666666666", "voting-power-%": "0.113333333333333333" }, ], "hmy-voting-power": "0.679999999999999998", "staked-voting-power": "0.000000000000000000", "total-raw-stake": "0.000000000000000000", "total-effective-stake": "0.000000000000000000" } }, "external-slot-count": 6, "epos-median-stake": "10000000000000000000000.000000000000000000" } } staking_epoch = blockchain.get_staking_epoch(endpoints[beacon_shard_id]) curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] val_0_info = staking.get_validator_information(s0_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) s0_creation_epoch = int(blockchain.get_block_by_number(val_0_info["validator"]["creation-height"])["epoch"], 16) while curr_epoch <= s0_creation_epoch or curr_epoch < staking_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_epoch = blockchain.get_latest_header(endpoint=endpoints[0])["epoch"] # Check v1 raw_response = base_request("hmy_getSuperCommittees", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_validator, found_key = False, False for member in response["current"]["quorum-deciders"]["shard-0"]["committee-members"]: if member["earning-account"] == s0_validator["validator-addr"]: found_validator = True if member["bls-public-key"] == s0_validator["pub-bls-key"]: found_key = True assert found_validator, f"Expected to find validator {s0_validator['validator-addr']} in current committee" assert found_key, f"Expected to pub bls key {s0_validator['bls-public-key']} in current committee" # Check v2 raw_response = base_request("hmyv2_getSuperCommittees", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_validator, found_key = False, False for member in response["current"]["quorum-deciders"]["shard-0"]["committee-members"]: if member["earning-account"] == s0_validator["validator-addr"]: found_validator = True if member["bls-public-key"] == s0_validator["pub-bls-key"]: found_key = True assert found_validator, f"Expected to find validator {s0_validator['validator-addr']} in current committee" assert found_key, f"Expected to pub bls key {s0_validator['bls-public-key']} in current committee" @txs.staking def test_get_staking_network_info(s0_validator): """ Note that v1 & v2 have the same responses. """ reference_response = { "total-supply": "12600000000.000000000000000000", "circulating-supply": "6842781705.882339000000000000", "epoch-last-block": 59, "total-staking": 10000000000000000000000, "median-raw-stake": "10000000000000000000000.000000000000000000" } # Check v1 raw_response = base_request("hmy_getStakingNetworkInfo", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) # Check v2 raw_response = base_request("hmyv2_getStakingNetworkInfo", params=[], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) @txs.staking @flaky(max_runs=6, rerun_filter=rerun_delay_filter(delay=8)) def test_get_validator_keys(s0_validator): """ Note that v1 & v2 have the same responses. Use shard 0 endpoint, NOT beacon endpoint as we are checking with `s0_validator` """ reference_response = [ "65f55eb3052f9e9f632b2923be594ba77c55543f5c58ee1454b9cfd658d25e06373b0f7d42a19c84768139ea294f6204", ] staking_epoch = blockchain.get_staking_epoch(endpoints[beacon_shard_id]) curr_epoch = blockchain.get_latest_header(endpoint=endpoints[0])["epoch"] val_0_info = staking.get_validator_information(s0_validator["validator-addr"], endpoint=endpoints[0]) s0_creation_epoch = int(blockchain.get_block_by_number(val_0_info["validator"]["creation-height"])["epoch"], 16) while curr_epoch <= s0_creation_epoch or curr_epoch < staking_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] # Check v1 raw_response = base_request("hmy_getValidatorKeys", params=[curr_epoch], endpoint=endpoints[0]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert s0_validator["pub-bls-key"] in response, f"Expected pub bls key {s0_validator['pub-bls-key']} in {response}" # Check v1 raw_response = base_request("hmyv2_getValidatorKeys", params=[curr_epoch], endpoint=endpoints[0]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) assert s0_validator["pub-bls-key"] in response, f"Expected pub bls key {s0_validator['pub-bls-key']} in {response}" @txs.staking @flaky(max_runs=6, rerun_filter=rerun_delay_filter(delay=8)) def test_get_validators_v1(s0_validator, s1_validator): reference_response = { "shardID": 0, "validators": [ { "address": "one1pdv9lrdwl0rg5vglh4xtyrv3wjk3wsqket7zxy", "balance": "0x252c53eaca3b23bb3" }, ] } staking_epoch = blockchain.get_staking_epoch(endpoints[beacon_shard_id]) curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] val_0_info = staking.get_validator_information(s0_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) val_1_info = staking.get_validator_information(s1_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) s0_creation_epoch = int(blockchain.get_block_by_number(val_0_info["validator"]["creation-height"])["epoch"], 16) s1_creation_epoch = int(blockchain.get_block_by_number(val_1_info["validator"]["creation-height"])["epoch"], 16) while curr_epoch <= s0_creation_epoch or curr_epoch <= s1_creation_epoch or curr_epoch < staking_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] raw_response = base_request("hmy_getValidators", params=[curr_epoch], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0, found_s1 = False, False for val in response["validators"]: if val["address"] == s0_validator["validator-addr"]: found_s0 = True if val["address"] == s1_validator["validator-addr"]: found_s1 = True assert found_s0 and found_s1, f"Expected to find validator information for " \ f"{s0_validator['validator-addr']} and {s0_validator['validator-addr']}" @txs.staking @flaky(max_runs=6, rerun_filter=rerun_delay_filter(delay=8)) def test_get_validators_v2(s0_validator, s1_validator): reference_response = { "shardID": 0, "validators": [ { "address": "one1pdv9lrdwl0rg5vglh4xtyrv3wjk3wsqket7zxy", "balance": 42857730340142857139 }, ] } staking_epoch = blockchain.get_staking_epoch(endpoints[beacon_shard_id]) curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] val_0_info = staking.get_validator_information(s0_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) val_1_info = staking.get_validator_information(s1_validator["validator-addr"], endpoint=endpoints[beacon_shard_id]) s0_creation_epoch = int(blockchain.get_block_by_number(val_0_info["validator"]["creation-height"])["epoch"], 16) s1_creation_epoch = int(blockchain.get_block_by_number(val_1_info["validator"]["creation-height"])["epoch"], 16) while curr_epoch <= s0_creation_epoch or curr_epoch <= s1_creation_epoch or curr_epoch < staking_epoch: time.sleep(random.uniform(0.5, 1.5)) # Random to stop burst spam of RPC calls. curr_epoch = blockchain.get_latest_header(endpoint=endpoints[beacon_shard_id])["epoch"] raw_response = base_request("hmyv2_getValidators", params=[curr_epoch], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) found_s0, found_s1 = False, False for val in response["validators"]: if val["address"] == s0_validator["validator-addr"]: found_s0 = True if val["address"] == s1_validator["validator-addr"]: found_s1 = True assert found_s0 and found_s1, f"Expected to find validator information for " \ f"{s0_validator['validator-addr']} and {s0_validator['validator-addr']}" @txs.staking @pytest.mark.run('first') def test_pending_staking_transactions_v1(): stx = { # Create validator tx "validator-addr": "one13v9m45m6yk9qmmcgyq603ucy0wdw9lfsxzsj9d", "delegator-addr": "one13v9m45m6yk9qmmcgyq603ucy0wdw9lfsxzsj9d", "name": "test", "identity": "test1", "website": "test", "security-contact": "test", "details": "test", "rate": 0.1, "max-rate": 0.9, "max-change-rate": 0.05, "min-self-delegation": 10000, "max-total-delegation": 10000000, "amount": 10000, "pub-bls-key": "8596e18ce463e4d5faa62d669dd959101ca408f757489bc9bdb2f95c2cc7a521b4eeb6d55ff2befd8b220fce6939b408", "hash": "0xf16668d7e39f01fd15c40e515ece370af1c80f7588bffd7c53932768a0ebba2e", "nonce": "0x0", "signed-raw-tx": "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" } reference_response = [ { "blockHash": "0x0000000000000000000000000000000000000000000000000000000000000000", "blockNumber": None, "from": "one13v9m45m6yk9qmmcgyq603ucy0wdw9lfsxzsj9d", "timestamp": "0x0", "gas": "0x512204", "gasPrice": "0x3b9aca00", "hash": "0xf16668d7e39f01fd15c40e515ece370af1c80f7588bffd7c53932768a0ebba2e", "nonce": "0x0", "transactionIndex": "0x0", "v": "0x27", "r": "0x2eeadff25df33d13eb95288006435e06a65ad979bf24b9cbd151c696df5b84e3", "s": "0x16e9fa32ddad438936ba2ac837cc8ac102aeec519198fa4516cfac7032df313c", "type": "CreateValidator", "msg": None } ] reference_create_validator_msg = { "amount": "0x21e19e0c9bab2400000", "commissionRate": "0x16345785d8a0000", "details": "test", "identity": "test2", "maxChangeRate": "0xb1a2bc2ec50000", "maxCommissionRate": "0xc7d713b49da0000", "maxTotalDelegation": "0x84595161401484a000000", "minSelfDelegation": "0x21e19e0c9bab2400000", "name": "test", "securityContact": "test", "slotPubKeys": [ "8596e18ce463e4d5faa62d669dd959101ca408f757489bc9bdb2f95c2cc7a521b4eeb6d55ff2befd8b220fce6939b408" ], "validatorAddress": "one13v9m45m6yk9qmmcgyq603ucy0wdw9lfsxzsj9d", "website": "test" } in_initially_funded = False for tx in initial_funding: if tx["to"] == stx["validator-addr"] and tx["to-shard"] == beacon_shard_id: in_initially_funded = True break if not in_initially_funded: raise AssertionError(f"Test staking transaction from address {stx['validator-addr']} " f"not found in set of initially funded accounts (or not founded on s{beacon_shard_id})") if get_staking_transaction(stx["hash"]) is not None: pytest.skip(f"Test staking transaction (hash {stx['hash']}) already present on chain...") send_staking_transaction(stx, confirm_submission=True) start_time = time.time() while time.time() - start_time <= tx_timeout: raw_response = base_request("hmy_pendingStakingTransactions", endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) for pending_tx in response: if pending_tx["hash"] == stx["hash"]: assert pending_tx["type"] == "CreateValidator" assert_valid_json_structure(reference_create_validator_msg, pending_tx["msg"]) return raise AssertionError(f"Timeout! Pending transaction not found for {json.dumps(stx, indent=2)}") @txs.staking @pytest.mark.run('first') def test_pending_staking_transactions_v2(): stx = { # Create validator tx "validator-addr": "one13muqj27fcd59gfrv7wzvuaupgkkwvwzlxun0ce", "delegator-addr": "one13muqj27fcd59gfrv7wzvuaupgkkwvwzlxun0ce", "name": "test", "identity": "test3", "website": "test", "security-contact": "test", "details": "test", "rate": 0.1, "max-rate": 0.9, "max-change-rate": 0.05, "min-self-delegation": 10000, "max-total-delegation": 10000000, "amount": 10000, "pub-bls-key": "29cdd2ea5ef25bfee0bbc649065ceb2d0e19cc25f42541154eca69c0ff923971e20352fbfeeac5d17f8f6c6fc5871e88", "hash": "0x6e54fc7102daa31372027912b7f441ab9b9acafb9fa93b72dc9380321bacdbe2", "nonce": "0x0", "signed-raw-tx": "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" } reference_response = [ { "blockHash": "0x0000000000000000000000000000000000000000000000000000000000000000", "blockNumber": None, "from": "one13muqj27fcd59gfrv7wzvuaupgkkwvwzlxun0ce", "timestamp": 0, "gas": 5317124, "gasPrice": 1000000000, "hash": "0x6e54fc7102daa31372027912b7f441ab9b9acafb9fa93b72dc9380321bacdbe2", "nonce": 0, "transactionIndex": 0, "v": "0x27", "r": "0xe03993350ed72c70198bbb9b0c962eba1ba08c6c46f66c50a878f84970120941", "s": "0x421342afa7dd527edadfb8fc0b3b80c41ba3fcd390cc2ff95bc18b89c58850ca", "type": "CreateValidator", "msg": None } ] reference_create_validator_msg = { "amount": 10000000000000000000000, "commissionRate": 100000000000000000, "details": "test", "identity": "test3", "maxChangeRate": 50000000000000000, "maxCommissionRate": 900000000000000000, "maxTotalDelegation": 10000000000000000000000000, "minSelfDelegation": 10000000000000000000000, "name": "test", "securityContact": "test", "slotPubKeys": [ "29cdd2ea5ef25bfee0bbc649065ceb2d0e19cc25f42541154eca69c0ff923971e20352fbfeeac5d17f8f6c6fc5871e88" ], "validatorAddress": "one13muqj27fcd59gfrv7wzvuaupgkkwvwzlxun0ce", "website": "test" } in_initially_funded = False for tx in initial_funding: if tx["to"] == stx["validator-addr"] and tx["to-shard"] == beacon_shard_id: in_initially_funded = True break if not in_initially_funded: raise AssertionError(f"Test staking transaction from address {stx['validator-addr']} " f"not found in set of initially funded accounts (or not founded on s{beacon_shard_id})") if get_staking_transaction(stx["hash"]) is not None: pytest.skip(f"Test staking transaction (hash {stx['hash']}) already present on chain...") send_staking_transaction(stx, confirm_submission=True) start_time = time.time() while time.time() - start_time <= tx_timeout: raw_response = base_request("hmyv2_pendingStakingTransactions", endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) for pending_tx in response: if pending_tx["hash"] == stx["hash"]: assert pending_tx["type"] == "CreateValidator" assert_valid_json_structure(reference_create_validator_msg, pending_tx["msg"]) return raise AssertionError(f"Timeout! Pending transaction not found for {json.dumps(stx, indent=2)}") @txs.staking @mutually_exclusive_test(scope=_mutex_scope) def test_get_blocks_v1(s0_validator): """ Note: param options for 'withSigners' will NOT return any sensical data in staking epoch (since it returns ONE addresses) and is subject to removal, thus is not tested here. """ reference_response_blk = { "difficulty": 0, "epoch": "0x1", "extraData": "0x", "gasLimit": "0x4c4b400", "gasUsed": "0x5121c4", "hash": "0xc0438fb59641cf000ddede158cf3707b6b96f2fbf7eaf40386eb91a0dc4305a4", "logsBloom": "0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "miner": "one1pdv9lrdwl0rg5vglh4xtyrv3wjk3wsqket7zxy", "mixHash": "0x0000000000000000000000000000000000000000000000000000000000000000", "nonce": 0, "number": "0xb", "parentHash": "0x57b4221951b61025eccea748c3a67dc2f1dafa9db278ac4d67135061432de6d0", "receiptsRoot": "0x37f9bea40135162a9eb2164266b2152a3909ee94dd2f908cdb091afb90724e1e", "size": "0x3fd", "stakingTransactions": [], "stateRoot": "0x33109119529b1d282909975ce846a3eeb1b76681d7beebfa5cf79adfe4a1c4d7", "timestamp": "0x5f11a7a2", "transactions": [], "transactionsRoot": "0xf4ab626bfc3bf9781ddef818f85cc81c345010b7b6abaeb27d0237c8a1ee1ac5", "uncles": [], "viewID": "0xb" } reference_staking_response = { "blockHash": "0xc0438fb59641cf000ddede158cf3707b6b96f2fbf7eaf40386eb91a0dc4305a4", "blockNumber": "0xb", "from": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "timestamp": "0x5f11a7a2", "gas": "0x5121c4", "gasPrice": "0x3b9aca00", "hash": "0xf80460f1ad041a0a0e841da717fc5b7959b1a7e9a0ce9a25cd70c0ce40d5ff26", "nonce": "0x0", "transactionIndex": "0x0", "v": "0x27", "r": "0x2348daabe696c4370379b9102dd85da6d4fed52f0f511ff0448a21c001ee75a7", "s": "0x1a67f9f40e0de02b50d5d7295f200fea7f950c1b59aa7efa8d225294c4fdbc5e", "type": "CreateValidator", "msg": None } reference_create_validator_msg = { "amount": "0x21e19e0c9bab2400000", "commissionRate": "0x16345785d8a0000", "details": "test", "identity": "test0", "maxChangeRate": "0xb1a2bc2ec50000", "maxCommissionRate": "0xc7d713b49da0000", "maxTotalDelegation": "0x84595161401484a000000", "minSelfDelegation": "0x21e19e0c9bab2400000", "name": "test", "securityContact": "test", "slotPubKeys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "validatorAddress": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "website": "test" } init_tx = get_staking_transaction(s0_validator["hash"]) start_blk, end_blk = hex(max(0, int(init_tx["blockNumber"], 16) - 2)), init_tx["blockNumber"] raw_response = base_request("hmy_getBlocks", params=[start_blk, end_blk, { "fullTx": True, "inclStaking": True }], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) for blk in response: assert_valid_json_structure(reference_response_blk, blk) for stx in blk["stakingTransactions"]: assert_valid_json_structure(reference_staking_response, stx) if stx["hash"] == s0_validator["hash"]: assert stx["type"] == "CreateValidator" assert_valid_json_structure(reference_create_validator_msg, stx["msg"]) assert len(response[-1]["stakingTransactions"]) > 0, "Expected staking transactions on last block" start_num, end_num = int(start_blk, 16), int(end_blk, 16) for blk in response: blk_num = int(blk["number"], 16) assert start_num <= blk_num <= end_num, f"Got block number {blk_num}, which is not in range [{start_num},{end_num}]" @txs.staking @mutually_exclusive_test(scope=_mutex_scope) def test_get_blocks_v2(s0_validator): """ Only difference in param of RPC is hex string in v1 and decimal in v2. Note: param options for 'withSigners' will NOT return any sensical data in staking epoch (since it returns ONE addresses) and is subject to removal, thus is not tested here. """ reference_response_blk = { "difficulty": 0, "epoch": 1, "extraData": "0x", "gasLimit": 80000000, "gasUsed": 5317060, "hash": "0xc0438fb59641cf000ddede158cf3707b6b96f2fbf7eaf40386eb91a0dc4305a4", "logsBloom": "0x00000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000", "miner": "one1pdv9lrdwl0rg5vglh4xtyrv3wjk3wsqket7zxy", "mixHash": "0x0000000000000000000000000000000000000000000000000000000000000000", "nonce": 0, "number": 11, "parentHash": "0x57b4221951b61025eccea748c3a67dc2f1dafa9db278ac4d67135061432de6d0", "receiptsRoot": "0x37f9bea40135162a9eb2164266b2152a3909ee94dd2f908cdb091afb90724e1e", "size": 1021, "stakingTransactions": [], "stateRoot": "0x33109119529b1d282909975ce846a3eeb1b76681d7beebfa5cf79adfe4a1c4d7", "timestamp": 1594992546, "transactions": [], "transactionsRoot": "0xf4ab626bfc3bf9781ddef818f85cc81c345010b7b6abaeb27d0237c8a1ee1ac5", "uncles": [], "viewID": 11 } reference_staking_response = { "blockHash": "0x0000000000000000000000000000000000000000000000000000000000000000", "blockNumber": None, "from": "one13muqj27fcd59gfrv7wzvuaupgkkwvwzlxun0ce", "timestamp": 0, "gas": 5317124, "gasPrice": 1000000000, "hash": "0x6e54fc7102daa31372027912b7f441ab9b9acafb9fa93b72dc9380321bacdbe2", "nonce": 0, "transactionIndex": 0, "v": "0x27", "r": "0xe03993350ed72c70198bbb9b0c962eba1ba08c6c46f66c50a878f84970120941", "s": "0x421342afa7dd527edadfb8fc0b3b80c41ba3fcd390cc2ff95bc18b89c58850ca", "type": "CreateValidator", "msg": None } reference_create_validator_msg = { "amount": 10000000000000000000000, "commissionRate": 100000000000000000, "details": "test", "identity": "test3", "maxChangeRate": 50000000000000000, "maxCommissionRate": 900000000000000000, "maxTotalDelegation": 10000000000000000000000000, "minSelfDelegation": 10000000000000000000000, "name": "test", "securityContact": "test", "slotPubKeys": [ "29cdd2ea5ef25bfee0bbc649065ceb2d0e19cc25f42541154eca69c0ff923971e20352fbfeeac5d17f8f6c6fc5871e88" ], "validatorAddress": "one13muqj27fcd59gfrv7wzvuaupgkkwvwzlxun0ce", "website": "test" } init_tx = get_staking_transaction(s0_validator["hash"]) start_blk, end_blk = max(0, int(init_tx["blockNumber"], 16) - 2), int(init_tx["blockNumber"], 16) raw_response = base_request("hmyv2_getBlocks", params=[start_blk, end_blk, { "fullTx": True, "inclStaking": True }], endpoint=endpoints[beacon_shard_id]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) for blk in response: assert_valid_json_structure(reference_response_blk, blk) for stx in blk["stakingTransactions"]: assert_valid_json_structure(reference_staking_response, stx) if stx["hash"] == s0_validator["hash"]: assert stx["type"] == "CreateValidator" assert_valid_json_structure(reference_create_validator_msg, stx["msg"]) assert len(response[-1]["stakingTransactions"]) > 0, "Expected staking transactions on last block" for blk in response: assert start_blk <= blk[ "number"] <= end_blk, f"Got block number {blk['number']}, which is not in range [{start_blk},{end_blk}]" @txs.staking def test_get_staking_transaction_history_v1(s0_validator): """ No staking transactions for the 'to' account of `account_test_tx`. This method may not be implemented, skip if this is the case """ reference_response = { "staking_transactions": [ { "blockHash": "0xc0438fb59641cf000ddede158cf3707b6b96f2fbf7eaf40386eb91a0dc4305a4", "blockNumber": "0xb", "from": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "timestamp": "0x5f11a7a2", "gas": "0x5121c4", "gasPrice": "0x3b9aca00", "hash": "0xf80460f1ad041a0a0e841da717fc5b7959b1a7e9a0ce9a25cd70c0ce40d5ff26", "nonce": "0x0", "transactionIndex": "0x0", "v": "0x27", "r": "0x2348daabe696c4370379b9102dd85da6d4fed52f0f511ff0448a21c001ee75a7", "s": "0x1a67f9f40e0de02b50d5d7295f200fea7f950c1b59aa7efa8d225294c4fdbc5e", "type": "CreateValidator", "msg": None }, ] } reference_create_validator_msg = { "amount": "0x21e19e0c9bab2400000", "commissionRate": "0x16345785d8a0000", "details": "test", "identity": "test0", "maxChangeRate": "0xb1a2bc2ec50000", "maxCommissionRate": "0xc7d713b49da0000", "maxTotalDelegation": "0x84595161401484a000000", "minSelfDelegation": "0x21e19e0c9bab2400000", "name": "test", "securityContact": "test", "slotPubKeys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "validatorAddress": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "website": "test" } reference_response_short = { "staking_transactions": [ "0x5718a2fda967f051611ccfaf2230dc544c9bdd388f5759a42b2fb0847fc8d759", ] } try: raw_response = base_request("hmy_getStakingTransactionsHistory", params=[{ "address": s0_validator["validator-addr"], "pageIndex": 0, "pageSize": 1000, "fullTx": False, "txType": "ALL", "order": "ASC" }], endpoint=endpoints[initial_funding[0]["from-shard"]]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response_short, response) raw_response = base_request("hmy_getStakingTransactionsHistory", params=[{ "address": s0_validator["validator-addr"], "pageIndex": 0, "pageSize": 1000, "fullTx": True, "txType": "ALL", "order": "ASC" }], endpoint=endpoints[initial_funding[0]["from-shard"]]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) for stx in response["staking_transactions"]: if stx["hash"] == s0_validator["hash"]: assert stx["type"] == "CreateValidator" assert_valid_json_structure(reference_create_validator_msg, stx["msg"]) except Exception as e: pytest.skip(traceback.format_exc()) pytest.skip(f"Exception: {e}") @txs.staking def test_get_staking_transaction_history_v2(s0_validator): """ No staking transactions for the 'to' account of `account_test_tx`. """ reference_response = { "staking_transactions": [ { "blockHash": "0xc0438fb59641cf000ddede158cf3707b6b96f2fbf7eaf40386eb91a0dc4305a4", "blockNumber": 11, "from": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "timestamp": 1594992546, "gas": 5317060, "gasPrice": 1000000000, "hash": "0xf80460f1ad041a0a0e841da717fc5b7959b1a7e9a0ce9a25cd70c0ce40d5ff26", "nonce": 0, "transactionIndex": 0, "v": "0x27", "r": "0x2348daabe696c4370379b9102dd85da6d4fed52f0f511ff0448a21c001ee75a7", "s": "0x1a67f9f40e0de02b50d5d7295f200fea7f950c1b59aa7efa8d225294c4fdbc5e", "type": "CreateValidator", "msg": None }, ] } reference_create_validator_msg = { "amount": 10000000000000000000000, "commissionRate": 100000000000000000, "details": "test", "identity": "test0", "maxChangeRate": 50000000000000000, "maxCommissionRate": 900000000000000000, "maxTotalDelegation": 10000000000000000000000000, "minSelfDelegation": 10000000000000000000000, "name": "test", "securityContact": "test", "slotPubKeys": [ "4f41a37a3a8d0695dd6edcc58142c6b7d98e74da5c90e79b587b3b960b6a4f5e048e6d8b8a000d77a478d44cd640270c" ], "validatorAddress": "one109r0tns7av5sjew7a7fkekg4fs3pw0h76pp45e", "website": "test" } reference_response_short = { "staking_transactions": [ "0x5718a2fda967f051611ccfaf2230dc544c9bdd388f5759a42b2fb0847fc8d759", ] } raw_response = base_request("hmyv2_getStakingTransactionsHistory", params=[{ "address": s0_validator["validator-addr"], "pageIndex": 0, "pageSize": 1000, "fullTx": False, "txType": "ALL", "order": "ASC" }], endpoint=endpoints[initial_funding[0]["from-shard"]]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response_short, response) raw_response = base_request("hmyv2_getStakingTransactionsHistory", params=[{ "address": s0_validator["validator-addr"], "pageIndex": 0, "pageSize": 1000, "fullTx": True, "txType": "ALL", "order": "ASC" }], endpoint=endpoints[initial_funding[0]["from-shard"]]) response = check_and_unpack_rpc_response(raw_response, expect_error=False) assert_valid_json_structure(reference_response, response) for stx in response["staking_transactions"]: if stx["hash"] == s0_validator["hash"]: assert stx["type"] == "CreateValidator" assert_valid_json_structure(reference_create_validator_msg, stx["msg"])

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Python

plugins/son-mano-placement/test/test_placement.py

sonata-nfv/son-mano-framework

d58dc5b473429b245d0a03f339fcda7829549f0c

[ "Apache-2.0" ]

16

2016-07-20T15:07:38.000Z

2021-11-11T16:33:18.000Z

plugins/son-mano-placement/test/test_placement.py

sonata-nfv/son-mano-framework

d58dc5b473429b245d0a03f339fcda7829549f0c

[ "Apache-2.0" ]

44

2016-07-22T10:36:39.000Z

2019-07-29T11:41:23.000Z

plugins/son-mano-placement/test/test_placement.py

sonata-nfv/son-mano-framework

d58dc5b473429b245d0a03f339fcda7829549f0c

[ "Apache-2.0" ]

42

2016-07-20T14:09:51.000Z

2019-05-23T14:35:13.000Z

# Copyright (c) 2015 SONATA-NFV, 2017 5GTANGO # ALL RIGHTS RESERVED. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # # Neither the name of the SONATA-NFV, 5GTANGO # nor the names of its contributors may be used to endorse or promote # products derived from this software without specific prior written # permission. # # This work has been performed in the framework of the SONATA project, # funded by the European Commission under Grant number 671517 through # the Horizon 2020 and 5G-PPP programmes. The authors would like to # acknowledge the contributions of their colleagues of the SONATA # partner consortium (www.sonata-nfv.eu). # # This work has been performed in the framework of the 5GTANGO project, # funded by the European Commission under Grant number 761493 through # the Horizon 2020 and 5G-PPP programmes. The authors would like to # acknowledge the contributions of their colleagues of the 5GTANGO # partner consortium (www.5gtango.eu). import unittest import time import json import yaml import threading import logging import uuid import son_mano_placement.placement_helpers as tools from unittest import mock from multiprocessing import Process from son_mano_placement.placement import PlacementPlugin from sonmanobase.messaging import ManoBrokerRequestResponseConnection from collections import namedtuple logging.basicConfig(level=logging.INFO) logging.getLogger('amqp-storm').setLevel(logging.INFO) LOG = logging.getLogger("son-mano-plugins:slm_test") logging.getLogger("son-mano-base:messaging").setLevel(logging.INFO) logging.getLogger("son-mano-base:plugin").setLevel(logging.INFO) LOG.setLevel(logging.INFO) class testPlacementPluginFunctionality(unittest.TestCase): """ Test the different methods of the placement plugin. """ pp = None ######################## # SETUP ######################## def setUp(self): # Create a new placement plugin self.pp = PlacementPlugin(auto_register=False, start_running=False) # Some threading events that can be used during the tests self.wait_for_first_event = threading.Event() self.wait_for_first_event.clear() def tearDown(self): # Clean up try: del self.pp except: pass ######################## # TESTS ######################## def test_Placement_load_balanced_1_vnf_1_vdu_a(self): """ This method tests whether a load_balanced operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_1.yml', 'rb')) vnfd = yaml.load(open(path_to_artefacts + 'vnfd_1_1.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd vnf_1['id'] = vnf_1_id vnfs = [] vnfs.append(vnf_1) top = yaml.load(open(path_to_artefacts + 'infrastructure_1.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'load balanced' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'bar'}] egress = [{'nap': '8.8.8.8', 'location': 'bar'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number VNFs doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_load_balanced_1_vnf_1_vdu_b(self): """ This method tests whether a load_balanced operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_2.yml', 'rb')) vnfd = yaml.load(open(path_to_artefacts + 'vnfd_1_2.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd vnf_1['id'] = vnf_1_id vnfs = [] vnfs.append(vnf_1) top = yaml.load(open(path_to_artefacts + 'infrastructure_2.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'load balanced' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number VNFs doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") def test_Placement_load_balanced_1_vnf_2_vdu(self): """ This method tests whether a load_balanced operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_3.yml', 'rb')) vnfd = yaml.load(open(path_to_artefacts + 'vnfd_1_3.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd vnf_1['id'] = vnf_1_id vnfs = [] vnfs.append(vnf_1) top = yaml.load(open(path_to_artefacts + 'infrastructure_3.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'load balanced' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_load_balanced_2_vnf_2_vdu(self): """ This method tests whether a load_balanced operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_4.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_4.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_4.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_4.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'load balanced' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") def test_Placement_fill_first_2_vnf_2_vdu_a(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_5.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_5.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_5.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_5.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'fill first' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_fill_first_2_vnf_2_vdu_b(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_6.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_6.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_6.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_6.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'fill first' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_fill_first_2_vnf_2_vdu_c(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_7.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_7.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_7.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_7.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'fill first' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_fill_first_2_vnf_2_vdu_d(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_8.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_8.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_8.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_8.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'fill first' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") def test_Placement_fill_first_2_vnf_2_vdu_e(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_9.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_9.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_9.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_9.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'fill first' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_priority_2_vnf_2_vdu_a(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_10.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_10.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_10.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_10.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Athens', 'Ghent', 'Aveiro'] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") def test_Placement_priority_2_vnf_2_vdu_b(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_11.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_11.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_11.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_11.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Athens', 'Ghent', 'Aveiro'] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} customer_policy = {} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_load_balanced_blacklist_2_vnf_2_vdu(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_12.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_12.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_12.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_12.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'load balanced' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} blacklist = ['Aveiro'] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_fill_first_blacklist_2_vnf_2_vdu(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_13.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_13.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_13.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_13.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'fill first' operator_policy['policy_list'] = [] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} blacklist = ['Athens'] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_priority_blacklist_2_vnf_2_vdu(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_14.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_14.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_14.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_14.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_policy['weights'] = {'operator': 1.0, 'developer': '0.0'} blacklist = ['Athens'] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_proximity_blacklist_2_vnf_2_vdu(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_15.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_15.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_15.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_15.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_weight = 0.0 developer_weight = 1.0 blacklist = ['Athens'] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '8.8.8.8', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=operator_weight, developer_weight=developer_weight, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_proximity_2_vnf_2_vdu(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_16.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_16.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_16.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_16.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_weight = 0.0 developer_weight = 1.0 blacklist = [] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '10.1.10.1', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=operator_weight, developer_weight=developer_weight, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_affinity_2_vnf_2_vdu_a(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_17.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_17.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_17.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_17.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_weight = 0.0 developer_weight = 1.0 blacklist = [] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '10.1.10.1', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=operator_weight, developer_weight=developer_weight, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") def test_Placement_affinity_blacklist_2_vnf_2_vdu_a(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_18.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_18.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_18.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_18.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_weight = 0.0 developer_weight = 1.0 blacklist = ['Aveiro'] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '10.1.10.1', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=operator_weight, developer_weight=developer_weight, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-6666', msg="VNF mapped on wrong PoP.") def test_Placement_affinity_proximity_blacklist_2_vnf_2_vdu(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_19.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_19.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_19.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_19.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'priority' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_weight = 0.0 developer_weight = 1.0 blacklist = ['Aveiro'] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '10.1.10.1', 'location': 'foo'}] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=operator_weight, developer_weight=developer_weight, vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") def test_Placement_load_balanced_proximity_2_vnf_2_vdu_a(self): """ This method tests whether a fill_first operator constraint is correctly executed. """ path_to_artefacts = '/plugins/son-mano-placement/test/artefacts/' nsd = yaml.load(open(path_to_artefacts + 'nsd_20.yml', 'rb')) vnfd1 = yaml.load(open(path_to_artefacts + 'vnfd_1_20.yml', 'rb')) vnfd2 = yaml.load(open(path_to_artefacts + 'vnfd_2_20.yml', 'rb')) serv_id = str(uuid.uuid4()) vnf_1_id = str(uuid.uuid4()) vnf_1 = {} vnf_1['vnfd'] = vnfd1 vnf_1['id'] = vnf_1_id vnf_2_id = str(uuid.uuid4()) vnf_2 = {} vnf_2['vnfd'] = vnfd2 vnf_2['id'] = vnf_2_id vnfs = [] vnfs.append(vnf_1) vnfs.append(vnf_2) top = yaml.load(open(path_to_artefacts + 'infrastructure_20.yml', 'rb')) operator_policy = {} operator_policy['policy'] = 'load balanced' operator_policy['policy_list'] = ['Ghent', 'Athens', 'Aveiro'] operator_weight = 0.50 developer_weight = 0.50 blacklist = [] customer_policy = {'blacklist': blacklist} ingress = [{'nap': '10.100.10.100', 'location': 'foo'}] egress = [{'nap': '10.1.10.1', 'location': 'foo'}] op_corr = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=1.0, developer_weight=0.0, vnf_single_pop=True)[2] de_corr = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=0.0, developer_weight=1.0, vnf_single_pop=True)[2] mapping = self.pp.placement(serv_id, nsd, vnfs, top, operator_policy, customer_policy, ingress, egress, operator_weight=abs(operator_weight/op_corr), developer_weight=abs(developer_weight/de_corr), vnf_single_pop=True) # Check if every VNF is mapped. self.assertEqual(len(mapping[0].keys()), len(vnfs), msg="Number images doesn't match number of mappings.") # Check if correct VNF id is used. self.assertIn(vnf_1_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if correct VNF id is used. self.assertIn(vnf_2_id, mapping[0].keys(), msg="Function ID in mapping incorrect.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_1_id], '1111-22222222-33333333-5555', msg="VNF mapped on wrong PoP.") # Check if VNF is mapped on PoP with lowest load. self.assertEqual(mapping[0][vnf_2_id], '1111-22222222-33333333-4444', msg="VNF mapped on wrong PoP.") if __name__ == '__main__': unittest.main()

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py

Python

sakurajima/db/backends/base/__init__.py

jefersonmontalvao/Sakurajima-BOT

0e34739f884c601edab4cd9720dba87395ab638a

[ "MIT" ]

null

sakurajima/db/backends/base/__init__.py

jefersonmontalvao/Sakurajima-BOT

0e34739f884c601edab4cd9720dba87395ab638a

[ "MIT" ]

null

sakurajima/db/backends/base/__init__.py

jefersonmontalvao/Sakurajima-BOT

0e34739f884c601edab4cd9720dba87395ab638a

[ "MIT" ]

null

import db.backends.base.operations import db.backends.base.schema __all__ = ['operations', 'schema']

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py

Python

loader_representations.py

PRamoneda/ICASSP22

a7f798d09290734fa94761558e003f35567cdee8

[ "MIT" ]

2

2022-03-26T10:12:57.000Z

2022-03-26T23:55:52.000Z

loader_representations.py

PRamoneda/ICASSP22

a7f798d09290734fa94761558e003f35567cdee8

[ "MIT" ]

null

loader_representations.py

PRamoneda/ICASSP22

a7f798d09290734fa94761558e003f35567cdee8

[ "MIT" ]

null

""" File name: approach_deepgru.py Author: Pedro Ramoneda Python Version: 3.7 """ import csv import os import sys import numpy as np from utils import load_xmls, load_json, save_json def get_path(alias): if alias == "mikro1": path = "mikrokosmos1" if alias == "mikro2": path = "pianoplayer" if alias == "nak": path = "nakamura" return path def rep_raw(alias): path_alias = get_path(alias) rep = {} for grade, path, xml in load_xmls(): rep[path] = { 'grade': grade, 'right_velocity': [], 'left_velocity': [], 'right_fingers': [], 'left_fingers': [] } r_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_rh.txt']) l_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_lh.txt']) for path_txt, hand in zip([r_h_cost, l_h_cost], ["right_", "left_"]): with open(path_txt) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in read_tsv: rep[path][hand + 'velocity'] = rep[path][hand + 'velocity'] + [float(l[8])] rep[path][hand + 'fingers'] = rep[path][hand + 'fingers'] + [abs(int(l[7]))] save_json(rep, os.path.join('representations', path_alias, 'rep_raw.json')) def merge_chord_onsets(time_series): new_time_series = [list(a) for a in time_series] for ii in range(len(time_series)): if ii + 1 < len(time_series) and time_series[ii][0] + 0.05 == time_series[ii + 1][0]: if ii + 2 < len(time_series) and time_series[ii][0] + 0.1 == time_series[ii + 2][0]: if ii + 3 < len(time_series) and time_series[ii][0] + 0.15 == time_series[ii + 3][0]: if ii + 4 < len(time_series) and time_series[ii][0] + 0.2 == time_series[ii + 4][0]: new_time_series[ii][0] = time_series[ii + 4][0] else: new_time_series[ii][0] = time_series[ii + 3][0] else: new_time_series[ii][0] = time_series[ii + 2][0] else: new_time_series[ii][0] = time_series[ii + 1][0] else: new_time_series[ii][0] = time_series[ii][0] return [tuple(a) for a in new_time_series] def finger2index(f): if f > 0: index = int(f) + 4 elif f < 0: index = int(f) - 5 else: # == 0 index = -1000 return index def velocity_piece(path, alias, xml): path_alias = get_path(alias) print(path) r_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_rh.txt']) l_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_lh.txt']) intermediate_rep = [] for path_txt, hand in zip([r_h_cost, l_h_cost], ["right_", "left_"]): time_series = [] with open(path_txt) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in read_tsv: if int(l[7]) != 0: time_series.append((round(float(l[1]), 2), int(l[7]), abs(float(l[8])))) time_series = time_series[:-9] intermediate_rep.extend(time_series) # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(intermediate_rep, key=(lambda a: a[0]))] idx = 0 onsets = [] while idx < len(intermediate_rep): onsets.append(intermediate_rep[idx][0]) t = [0] * 10 index = finger2index(intermediate_rep[idx][1]) t[index] = intermediate_rep[idx][2] j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = finger2index(intermediate_rep[j][1]) t[index] = intermediate_rep[j][2] j += 1 idx = j # print(t) matrix.append(t) return matrix, onsets def rep_velocity(alias): rep = {} for grade, path, xml in load_xmls(): matrix, _ = velocity_piece(path, alias, xml) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', get_path(alias), 'rep_velocity.json')) def prob_piece(path, alias, xml): path_alias = get_path(alias) print(path) PIG_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '.txt']) time_series = [] with open(PIG_cost) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in list(read_tsv)[1:]: if int(l[7]) != 0: time_series.append((round(float(l[1]), 2), int(l[7]), abs(abs(float(l[8]))))) time_series = time_series[:-3] # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(time_series, key=(lambda a: a[0]))] onsets = [] idx = 0 while idx < len(intermediate_rep): onsets.append(intermediate_rep[idx][0]) t = [0] * 10 index = finger2index(intermediate_rep[idx][1]) t[index] = intermediate_rep[idx][2] j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = finger2index(intermediate_rep[j][1]) t[index] = intermediate_rep[j][2] j += 1 idx = j # print(t) matrix.append(t) return matrix, onsets def rep_prob(alias): rep = {} for grade, path, xml in load_xmls(): matrix, _ = prob_piece(path, alias, xml) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', get_path(alias), 'rep_nakamura.json')) def rep_d_nakamura(alias): path_alias = get_path(alias) rep = {} for grade, path, xml in load_xmls(): print(path, grade) PIG_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '.txt']) time_series = [] with open(PIG_cost) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in list(read_tsv)[1:]: if int(l[7]) != 0: time_series.append((round(float(l[1]), 2), int(l[7]), abs(abs(float(l[8]))), round(float(l[2]), 2))) time_series = time_series[:-3] # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(time_series, key=(lambda a: a[0]))] idx = 0 while idx < len(intermediate_rep): t = [0] * 10 index = finger2index(intermediate_rep[idx][1]) t[index] = intermediate_rep[idx][2] / (intermediate_rep[idx][3] - intermediate_rep[idx][0]) j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = finger2index(intermediate_rep[j][1]) t[index] = intermediate_rep[j][2] / (intermediate_rep[j][3] - (intermediate_rep[j][0])) j += 1 idx = j # print(t) matrix.append(t) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', path_alias, 'rep_d_nakamura.json')) def finger_piece(path, alias, xml): path_alias = get_path(alias) print(path) r_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_rh.txt']) l_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_lh.txt']) intermediate_rep = [] for path_txt, hand in zip([r_h_cost, l_h_cost], ["right_", "left_"]): time_series = [] with open(path_txt) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in read_tsv: if int(l[7]) != 0: time_series.append((round(float(l[1]), 2), int(l[7]), abs(float(l[8])))) time_series = time_series[:-1] intermediate_rep.extend(time_series) # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(intermediate_rep, key=(lambda a: a[0]))] idx = 0 onsets = [] while idx < len(intermediate_rep): onsets.append(intermediate_rep[idx][0]) t = [0] * 10 index = finger2index(intermediate_rep[idx][1]) t[index] = 1.0 j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = finger2index(intermediate_rep[j][1]) t[index] = 1.0 j += 1 idx = j # print(t) matrix.append(t) return matrix, onsets def rep_finger(alias): rep = {} for grade, path, xml in load_xmls(): matrix, _ = finger_piece(path, alias, xml) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', get_path(alias), 'rep_finger.json')) def finger_nakamura_piece(path, alias, xml): path_alias = get_path(alias) print(path) PIG_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '.txt']) time_series = [] with open(PIG_cost) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in list(read_tsv)[1:]: if int(l[7]) != 0: time_series.append((round(float(l[1]), 2), int(l[7]), abs(abs(float(l[8]))))) time_series = time_series[:-3] # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(time_series, key=(lambda a: a[0]))] idx = 0 onsets = [] while idx < len(intermediate_rep): onsets.append(intermediate_rep[idx][0]) t = [0] * 10 index = finger2index(intermediate_rep[idx][1]) t[index] = 1.0 j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = finger2index(intermediate_rep[j][1]) t[index] = 1.0 j += 1 idx = j # print(t) matrix.append(t) return matrix, onsets def rep_finger_nakamura(alias): rep = {} for grade, path, xml in load_xmls(): matrix, _ = finger_nakamura_piece(path, alias, xml) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', get_path(alias), 'rep_finger_nakamura.json')) def notes_piece(path, alias, xml): path_alias = get_path(alias) print(path) r_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_rh.txt']) l_h_cost = '/'.join(["Fingers", path_alias, os.path.basename(xml[:-4]) + '_lh.txt']) intermediate_rep = [] for path_txt, hand in zip([r_h_cost, l_h_cost], ["right_", "left_"]): time_series = [] with open(path_txt) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in read_tsv: if int(l[7]) != 0: # (onset, note) time_series.append((round(float(l[1]), 2), int(l[3]) - 21)) intermediate_rep.extend(time_series) # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(intermediate_rep, key=(lambda a: a[0]))] idx = 0 onsets = [] while idx < len(intermediate_rep): onsets.append(intermediate_rep[idx][0]) t = [0.0] * 88 index = intermediate_rep[idx][1] t[index] = 1.0 j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = intermediate_rep[j][1] t[index] = 1.0 j += 1 idx = j # print(t) matrix.append(t) return matrix, onsets def rep_notes(alias): rep = {} for grade, path, xml in load_xmls(): matrix, _ = notes_piece(path, alias, xml) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', get_path(alias), 'rep_note.json')) def visualize_note_representation(alias, score='mikrokosmos/musicxml/69.xml'): data = load_json(os.path.join('representations', get_path(alias), 'rep_note.json')) matrix = data[score]['matrix'] for row in np.array(matrix).transpose(): for c in row: print(c, end="|") print() def visualize_finger_representation(alias, score='mikrokosmos/musicxml/69.xml'): data = load_json(os.path.join('representations', get_path(alias), 'rep_finger.json')) matrix = data[score]['matrix'] for row in np.array(matrix).transpose(): for c in row: print(c, end="|") print() def visualize_finger_representation_nakamura(alias="nak", score='mikrokosmos/musicxml/69.xml'): data = load_json(os.path.join('representations', get_path(alias), 'rep_finger_nakamura.json')) matrix = data[score]['matrix'] for row in np.array(matrix).transpose(): for c in row: print(c, end="|") print() def visualize_velocity_representation(alias, score='mikrokosmos/musicxml/69.xml'): data = load_json(os.path.join('representations', get_path(alias), 'rep_velocity.json')) matrix = data[score]['matrix'] for row in np.array(matrix).transpose(): for c in row: print(c, end="|") print() def visualize_prob_representation(alias="nak", score='mikrokosmos/musicxml/5.xml'): data = load_json(os.path.join('representations', get_path(alias), 'rep_nakamura.json')) matrix = data[score]['matrix'] for row in np.array(matrix).transpose(): for c in row: print('%02.1f' % c, end="|") print() def visualize_d_nakamura(alias="nak", score='mikrokosmos/musicxml/69.xml'): data = load_json(os.path.join('representations', get_path(alias), 'rep_d_nakamura.json')) matrix = data[score]['matrix'] for row in np.array(matrix).transpose(): for c in row: print(c, end="|") print() def get_distance_type(last_semitone, current_semitone): last_black = (last_semitone % 12) in [1, 3, 6, 8, 10] current_black = (current_semitone % 12) in [1, 3, 6, 8, 10] if not last_black and not current_black: distance_type = 1 elif last_black and not current_black: distance_type = 2 elif not last_black and current_black: distance_type = 3 else: # bb distance_type = 4 return distance_type def rep_distances(alias): path_alias = get_path(alias) rep = {} for grade, path, r_h, l_h in load_xmls(): print(path, grade) r_h_cost = '/'.join(["Fingers", path_alias, r_h[:-11] + '_rh.txt']) l_h_cost = '/'.join(["Fingers", path_alias, l_h[:-11] + '_lh.txt']) intermediate_rep = [] for path_txt, hand in zip([r_h_cost, l_h_cost], ["right_", "left_"]): time_series = [] with open(path_txt) as tsv_file: read_tsv = csv.reader(tsv_file, delimiter="\t") for l in read_tsv: if int(l[7]) != 0: time_series.append((round(float(l[1]), 2), int(l[7]), abs(float(l[8])), abs(float(l[3])))) if alias == 'version_1.0': time_series = merge_chord_onsets(time_series[:-10]) else: time_series = time_series[:-10] intermediate_rep.extend(time_series) # order by onset and create matrix matrix = [] intermediate_rep = [on for on in sorted(intermediate_rep, key=(lambda a: a[0]))] # initial semitone: at the beginning the distance is 0 last_semitone_rh = next(x[3] for x in intermediate_rep if x[1] > 0) last_semitone_lh = next(x[3] for x in intermediate_rep if x[1] < 0) idx = 0 while idx < len(intermediate_rep): d, dt, t = [0] * 10, [0] * 10, [0] * 10 index = finger2index(intermediate_rep[idx][1]) is_r_h = index >= 5 last_semitone = last_semitone_rh if is_r_h else last_semitone_lh t[index] = intermediate_rep[idx][2] d[index] = last_semitone - intermediate_rep[idx][3] dt[index] = get_distance_type(last_semitone, intermediate_rep[idx][3]) if is_r_h: last_semitone_rh = last_semitone else: last_semitone_lh = last_semitone j = idx + 1 while j < len(intermediate_rep) and intermediate_rep[idx][0] == intermediate_rep[j][0]: index = finger2index(intermediate_rep[j][1]) is_r_h = index >= 5 last_semitone = last_semitone_rh if is_r_h else last_semitone_lh t[index] = intermediate_rep[j][2] d[index] = last_semitone - intermediate_rep[idx][3] dt[index] = get_distance_type(last_semitone, intermediate_rep[idx][3]) if is_r_h: last_semitone_rh = last_semitone else: last_semitone_lh = last_semitone j += 1 idx = j # print(t) # matrix.append([t, d , dt]) matrix.append(t + d + dt) rep[path] = { 'grade': grade, 'matrix': matrix } save_json(rep, os.path.join('representations', path_alias, 'rep_distance.json')) def rep_fing_vel_time(alias): get_path(alias) def rep_distances_time(alias): get_path(alias) def rep_merged_time(alias): get_path(alias) def load_rep(klass): if klass == "rep_velocity": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_velocity.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) elif klass == "rep_finger": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_finger.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) elif klass == "rep_finger_nakamura": path_alias = get_path("nak") path = os.path.join('representations', path_alias, 'rep_finger_nakamura.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) elif klass == "rep_prob": path_alias = get_path("nak") path = os.path.join('representations', path_alias, 'rep_nakamura.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) elif klass == "rep_d_nakamura": path_alias = get_path("nak") path = os.path.join('representations', path_alias, 'rep_d_nakamura.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) elif klass == "rep_note": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_note.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) elif klass == "rep_distance": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_distance.json') data = load_json(path) ans = ([np.array(x['matrix']) for k, x in data.items()], np.array([x['grade'] for k, x in data.items()])) return ans def load_rep_info(klass): if klass == "rep_velocity": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_velocity.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) elif klass == "rep_finger": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_finger.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) elif klass == "rep_finger_nakamura": path_alias = get_path("nak") path = os.path.join('representations', path_alias, 'rep_finger_nakamura.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) elif klass == "rep_prob": path_alias = get_path("nak") path = os.path.join('representations', path_alias, 'rep_nakamura.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) elif klass == "rep_d_nakamura": path_alias = get_path("nak") path = os.path.join('representations', path_alias, 'rep_d_nakamura.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) elif klass == "rep_note": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_note.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) elif klass == "rep_distance": path_alias = get_path("mikro2") path = os.path.join('representations', path_alias, 'rep_distance.json') data = load_json(path) ans = np.array([k for k, x in data.items()]) return ans if __name__ == '__main__': # rep_raw("version_1.0") rep_velocity("mikro2") # rep_distances("version_1.0") # load_rep("version_1.0", rep_velocity) # load_rep("version_1.0", rep_velocity) # visualize_note_representation("mikro1") # visualize_note_representation("mikro1") # rep_finger_nakamura("nak") # rep_prob("nak") rep_notes("mikro2") rep_finger("mikro2") # visualize_note_representation("mikro2") # rep_d_nakamura("nak") # visualize_prob_representation("nak") # visualize_finger_representation_nakamura()

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Python

tests/db_sync_streaming_test.py

lmmx/impscan

fd809f9f32302e3b67bc921164f34fdd837cf92b

[ "MIT" ]

null

tests/db_sync_streaming_test.py

lmmx/impscan

fd809f9f32302e3b67bc921164f34fdd837cf92b

[ "MIT" ]

15

2021-06-24T15:30:57.000Z

2021-07-30T14:04:38.000Z

tests/db_sync_streaming_test.py

lmmx/impscan

fd809f9f32302e3b67bc921164f34fdd837cf92b

[ "MIT" ]

null

from pytest import fixture, mark, raises from impscan.db.generate_db_sync_streaming import populate_conda_package_db def test_db_population(): # populate_conda_package_db() pass # lol don't do this

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py

Python

components/cuda.py

RobInLabUJI/ROSLab

3a5047a204989dea108cb163fd1ca7516ec2f5c9

[ "MIT" ]

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2022-01-25T21:46:05.000Z

components/cuda.py

RobInLabUJI/ROSLab

3a5047a204989dea108cb163fd1ca7516ec2f5c9

[ "MIT" ]

2

2019-09-11T13:02:35.000Z

2019-10-11T12:44:13.000Z

components/cuda.py

RobInLabUJI/ROSLab

3a5047a204989dea108cb163fd1ca7516ec2f5c9

[ "MIT" ]

2

2019-10-31T06:29:05.000Z

2020-01-08T03:18:53.000Z

import os, sys versions = ['8.0-runtime', '8.0-devel', '9.0-runtime', '9.0-devel', '9.2-runtime', '9.2-devel', '10.0-runtime', '10.0-devel'] DOCKER_CUDA_HEADER = """ ###################################### CUDA #################################### """ DOCKER_RUNTIME_CONTENTS = {} DOCKER_RUNTIME_CONTENTS['18.04'] = {} DOCKER_RUNTIME_CONTENTS['16.04'] = {} DOCKER_RUNTIME_CONTENTS['18.04']['10.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && \\ curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/7fa2af80.pub | apt-key add - && \\ echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \\ echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \\ apt-get purge --autoremove -y curl && \\ rm -rf /var/lib/apt/lists/* ENV CUDA_VERSION 10.0.130 ENV CUDA_PKG_VERSION 10-0=$CUDA_VERSION-1 # For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-cudart-$CUDA_PKG_VERSION \\ cuda-compat-10-0=410.48-1 && \\ ln -s cuda-10.0 /usr/local/cuda && \\ rm -rf /var/lib/apt/lists/* ENV PATH /usr/local/cuda/bin:${PATH} # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all ENV NVIDIA_DRIVER_CAPABILITIES compute,utility ENV NVIDIA_REQUIRE_CUDA "cuda>=10.0 brand=tesla,driver>=384,driver<385" ENV NCCL_VERSION 2.4.2 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-$CUDA_PKG_VERSION \\ cuda-nvtx-$CUDA_PKG_VERSION \\ libnccl2=$NCCL_VERSION-1+cuda10.0 && \\ apt-mark hold libnccl2 && \\ rm -rf /var/lib/apt/lists/* """ DOCKER_RUNTIME_CONTENTS['18.04']['9.2'] = """ # CUDA 9.2 is not officially supported on ubuntu 18.04 yet, we use the ubuntu 17.10 repository for CUDA instead. RUN apt-get update && apt-get install -y --no-install-recommends gnupg2 curl ca-certificates && \\ curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64/7fa2af80.pub | apt-key add - && \\ echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1710/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \\ echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list && \\ apt-get purge --autoremove -y curl && \\ rm -rf /var/lib/apt/lists/* ENV CUDA_VERSION 9.2.148 ENV CUDA_PKG_VERSION 9-2=$CUDA_VERSION-1 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-cudart-$CUDA_PKG_VERSION && \\ ln -s cuda-9.2 /usr/local/cuda && \\ rm -rf /var/lib/apt/lists/* # nvidia-docker 1.0 LABEL com.nvidia.volumes.needed="nvidia_driver" LABEL com.nvidia.cuda.version="${CUDA_VERSION}" RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \\ echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all ENV NVIDIA_DRIVER_CAPABILITIES compute,utility ENV NVIDIA_REQUIRE_CUDA "cuda>=9.2" ENV NCCL_VERSION 2.3.7 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-$CUDA_PKG_VERSION \\ cuda-nvtx-$CUDA_PKG_VERSION \\ libnccl2=$NCCL_VERSION-1+cuda9.2 && \\ apt-mark hold libnccl2 && \\ rm -rf /var/lib/apt/lists/* """ DOCKER_RUNTIME_CONTENTS['16.04']['10.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && \\ rm -rf /var/lib/apt/lists/* && \\ NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \\ NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \\ apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \\ apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \\ echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \\ echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \\ echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list ENV CUDA_VERSION 10.0.130 ENV CUDA_PKG_VERSION 10-0=$CUDA_VERSION-1 # For libraries in the cuda-compat-* package: https://docs.nvidia.com/cuda/eula/index.html#attachment-a RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-cudart-$CUDA_PKG_VERSION \\ cuda-compat-10-0=410.48-1 && \\ ln -s cuda-10.0 /usr/local/cuda && \\ rm -rf /var/lib/apt/lists/* ENV PATH /usr/local/cuda/bin:${PATH} # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all ENV NVIDIA_DRIVER_CAPABILITIES compute,utility ENV NVIDIA_REQUIRE_CUDA "cuda>=10.0 brand=tesla,driver>=384,driver<385" ENV NCCL_VERSION 2.4.2 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-$CUDA_PKG_VERSION \\ cuda-nvtx-$CUDA_PKG_VERSION \\ libnccl2=$NCCL_VERSION-1+cuda10.0 && \\ apt-mark hold libnccl2 && \\ rm -rf /var/lib/apt/lists/* """ DOCKER_RUNTIME_CONTENTS['16.04']['9.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && \\ rm -rf /var/lib/apt/lists/* && \\ NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \\ NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \\ apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \\ apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \\ echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \\ echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list && \\ echo "deb https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/nvidia-ml.list ENV CUDA_VERSION 9.0.176 ENV CUDA_PKG_VERSION 9-0=$CUDA_VERSION-1 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-cudart-$CUDA_PKG_VERSION && \\ ln -s cuda-9.0 /usr/local/cuda && \\ rm -rf /var/lib/apt/lists/* # nvidia-docker 1.0 LABEL com.nvidia.volumes.needed="nvidia_driver" LABEL com.nvidia.cuda.version="${CUDA_VERSION}" RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \\ echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all ENV NVIDIA_DRIVER_CAPABILITIES compute,utility ENV NVIDIA_REQUIRE_CUDA "cuda>=9.0" ENV NCCL_VERSION 2.4.2 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-$CUDA_PKG_VERSION \\ cuda-cublas-9-0=9.0.176.4-1 \\ libnccl2=$NCCL_VERSION-1+cuda9.0 && \\ apt-mark hold libnccl2 && \\ rm -rf /var/lib/apt/lists/* """ DOCKER_RUNTIME_CONTENTS['16.04']['8.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends ca-certificates apt-transport-https gnupg-curl && \\ rm -rf /var/lib/apt/lists/* && \\ NVIDIA_GPGKEY_SUM=d1be581509378368edeec8c1eb2958702feedf3bc3d17011adbf24efacce4ab5 && \\ NVIDIA_GPGKEY_FPR=ae09fe4bbd223a84b2ccfce3f60f4b3d7fa2af80 && \\ apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64/7fa2af80.pub && \\ apt-key adv --export --no-emit-version -a $NVIDIA_GPGKEY_FPR | tail -n +5 > cudasign.pub && \\ echo "$NVIDIA_GPGKEY_SUM cudasign.pub" | sha256sum -c --strict - && rm cudasign.pub && \\ echo "deb https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1604/x86_64 /" > /etc/apt/sources.list.d/cuda.list ENV CUDA_VERSION 8.0.61 ENV CUDA_PKG_VERSION 8-0=$CUDA_VERSION-1 RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-nvrtc-$CUDA_PKG_VERSION \\ cuda-nvgraph-$CUDA_PKG_VERSION \\ cuda-cusolver-$CUDA_PKG_VERSION \\ cuda-cublas-8-0=8.0.61.2-1 \\ cuda-cufft-$CUDA_PKG_VERSION \\ cuda-curand-$CUDA_PKG_VERSION \\ cuda-cusparse-$CUDA_PKG_VERSION \\ cuda-npp-$CUDA_PKG_VERSION \\ cuda-cudart-$CUDA_PKG_VERSION && \\ ln -s cuda-8.0 /usr/local/cuda && \\ rm -rf /var/lib/apt/lists/* # nvidia-docker 1.0 LABEL com.nvidia.volumes.needed="nvidia_driver" LABEL com.nvidia.cuda.version="${CUDA_VERSION}" RUN echo "/usr/local/nvidia/lib" >> /etc/ld.so.conf.d/nvidia.conf && \\ echo "/usr/local/nvidia/lib64" >> /etc/ld.so.conf.d/nvidia.conf ENV PATH /usr/local/nvidia/bin:/usr/local/cuda/bin:${PATH} ENV LD_LIBRARY_PATH /usr/local/nvidia/lib:/usr/local/nvidia/lib64 # nvidia-container-runtime ENV NVIDIA_VISIBLE_DEVICES all ENV NVIDIA_DRIVER_CAPABILITIES compute,utility ENV NVIDIA_REQUIRE_CUDA "cuda>=8.0" """ DOCKER_DEVEL_CONTENTS = {} DOCKER_DEVEL_CONTENTS['18.04'] = {} DOCKER_DEVEL_CONTENTS['16.04'] = {} DOCKER_DEVEL_CONTENTS['18.04']['10.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-dev-$CUDA_PKG_VERSION \\ cuda-nvml-dev-$CUDA_PKG_VERSION \\ cuda-minimal-build-$CUDA_PKG_VERSION \\ cuda-command-line-tools-$CUDA_PKG_VERSION \\ libnccl-dev=$NCCL_VERSION-1+cuda10.0 && \\ rm -rf /var/lib/apt/lists/* ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs """ DOCKER_DEVEL_CONTENTS['18.04']['9.2'] = """ RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-dev-$CUDA_PKG_VERSION \\ cuda-nvml-dev-$CUDA_PKG_VERSION \\ cuda-minimal-build-$CUDA_PKG_VERSION \\ cuda-command-line-tools-$CUDA_PKG_VERSION \\ libnccl-dev=$NCCL_VERSION-1+cuda9.2 && \\ rm -rf /var/lib/apt/lists/* ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs """ DOCKER_DEVEL_CONTENTS['16.04']['10.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-dev-$CUDA_PKG_VERSION \\ cuda-nvml-dev-$CUDA_PKG_VERSION \\ cuda-minimal-build-$CUDA_PKG_VERSION \\ cuda-command-line-tools-$CUDA_PKG_VERSION \\ libnccl-dev=$NCCL_VERSION-1+cuda10.0 && \\ rm -rf /var/lib/apt/lists/* ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs """ DOCKER_DEVEL_CONTENTS['16.04']['9.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-libraries-dev-$CUDA_PKG_VERSION \\ cuda-nvml-dev-$CUDA_PKG_VERSION \\ cuda-minimal-build-$CUDA_PKG_VERSION \\ cuda-command-line-tools-$CUDA_PKG_VERSION \\ cuda-core-9-0=9.0.176.3-1 \\ cuda-cublas-dev-9-0=9.0.176.4-1 \\ libnccl-dev=$NCCL_VERSION-1+cuda9.0 && \\ rm -rf /var/lib/apt/lists/* ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs """ DOCKER_DEVEL_CONTENTS['16.04']['8.0'] = """ RUN apt-get update && apt-get install -y --no-install-recommends \\ cuda-core-$CUDA_PKG_VERSION \\ cuda-misc-headers-$CUDA_PKG_VERSION \\ cuda-command-line-tools-$CUDA_PKG_VERSION \\ cuda-nvrtc-dev-$CUDA_PKG_VERSION \\ cuda-nvml-dev-$CUDA_PKG_VERSION \\ cuda-nvgraph-dev-$CUDA_PKG_VERSION \\ cuda-cusolver-dev-$CUDA_PKG_VERSION \\ cuda-cublas-dev-8-0=8.0.61.2-1 \\ cuda-cufft-dev-$CUDA_PKG_VERSION \\ cuda-curand-dev-$CUDA_PKG_VERSION \\ cuda-cusparse-dev-$CUDA_PKG_VERSION \\ cuda-npp-dev-$CUDA_PKG_VERSION \\ cuda-cudart-dev-$CUDA_PKG_VERSION \\ cuda-driver-dev-$CUDA_PKG_VERSION && \\ rm -rf /var/lib/apt/lists/* ENV LIBRARY_PATH /usr/local/cuda/lib64/stubs """ def write(DOCKER_FILE, version, ubuntu): if version in versions: with open(DOCKER_FILE, "a") as dockerfile: dockerfile.write(DOCKER_CUDA_HEADER) cuda = version.split('-')[0] try: dockerfile.write(DOCKER_RUNTIME_CONTENTS[ubuntu][cuda]) if 'devel' in version: dockerfile.write(DOCKER_DEVEL_CONTENTS[ubuntu][cuda]) except KeyError as e: print("CUDA version %s not supported in Ubuntu %s" % (cuda, ubuntu) ) sys.exit(1) return else: print("cuda: version %s not supported. Options: %s" % (version, versions)) sys.exit(1)

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Python

iocage/tests/unit_tests/1001_lib_start_test.py

project-fifo/iocage

1b8669bc2119718dbea8f2707a4eb4c92197c0f0

[ "BSD-2-Clause" ]

null

iocage/tests/unit_tests/1001_lib_start_test.py

project-fifo/iocage

1b8669bc2119718dbea8f2707a4eb4c92197c0f0

[ "BSD-2-Clause" ]

null

iocage/tests/unit_tests/1001_lib_start_test.py

project-fifo/iocage

1b8669bc2119718dbea8f2707a4eb4c92197c0f0

[ "BSD-2-Clause" ]

1

2022-03-06T10:09:18.000Z

import mock import pytest from iocage.lib.ioc_start import find_bridge_mtu @mock.patch('iocage.lib.ioc_start.checkoutput') def test_should_return_mtu_of_first_member(mock_checkoutput): mock_checkoutput.side_effect = [bridge_if_config, member_if_config] mtu = find_bridge_mtu('bridge0') assert mtu == '1500' mock_checkoutput.assert_has_calls([mock.call(["ifconfig", "bridge0"]), mock.call(["ifconfig", "bge0"])]) @mock.patch('iocage.lib.ioc_start.checkoutput') def test_should_return_mtu_of_first_member_with_description(mock_checkoutput): mock_checkoutput.side_effect = [bridge_with_description_if_config, member_if_config] mtu = find_bridge_mtu('bridge0') assert mtu == '1500' mock_checkoutput.assert_has_calls([mock.call(["ifconfig", "bridge0"]), mock.call(["ifconfig", "bge0"])]) @mock.patch('iocage.lib.ioc_start.checkoutput') def test_should_return_default_mtu_if_no_members(mock_checkoutput): mock_checkoutput.side_effect = [bridge_with_no_members_if_config, member_if_config] mtu = find_bridge_mtu('bridge0') assert mtu == '1500' mock_checkoutput.called_with(["ifconfig", "bridge0"]) bridge_if_config = """bridge0: flags=8843<UP,BROADCAST,RUNNING,SIMPLEX,MULTICAST> metric 0 mtu 1500 ether 00:00:00:00:00:00 nd6 options=1<PERFORMNUD> groups: bridge id 00:00:00:00:00:00 priority 32768 hellotime 2 fwddelay 15 maxage 20 holdcnt 6 proto rstp maxaddr 2000 timeout 1200 root id 00:00:00:00:00:00 priority 32768 ifcost 0 port 0 member: bge0 flags=143<LEARNING,DISCOVER,AUTOEDGE,AUTOPTP> ifmaxaddr 0 port 1 priority 128 path cost 20000 """ bridge_with_description_if_config = """bridge0: flags=8843<UP,BROADCAST,RUNNING,SIMPLEX,MULTICAST> metric 0 mtu 1500 description: first-bridge ether 00:00:00:00:00:00 nd6 options=1<PERFORMNUD> groups: bridge id 00:00:00:00:00:00 priority 32768 hellotime 2 fwddelay 15 maxage 20 holdcnt 6 proto rstp maxaddr 2000 timeout 1200 root id 00:00:00:00:00:00 priority 32768 ifcost 0 port 0 member: bge0 flags=143<LEARNING,DISCOVER,AUTOEDGE,AUTOPTP> ifmaxaddr 0 port 1 priority 128 path cost 20000 """ bridge_with_no_members_if_config = """bridge0: flags=8843<UP,BROADCAST,RUNNING,SIMPLEX,MULTICAST> metric 0 mtu 1500 description: first-bridge ether 00:00:00:00:00:00 nd6 options=1<PERFORMNUD> groups: bridge id 00:00:00:00:00:00 priority 32768 hellotime 2 fwddelay 15 maxage 20 holdcnt 6 proto rstp maxaddr 2000 timeout 1200 root id 00:00:00:00:00:00 priority 32768 ifcost 0 port 0 """ member_if_config = """bge0: flags=8943<UP,BROADCAST,RUNNING,PROMISC,SIMPLEX,MULTICAST> metric 0 mtu 1500 options=c019b<RXCSUM,TXCSUM,VLAN_MTU,VLAN_HWTAGGING,VLAN_HWCSUM,TSO4,VLAN_HWTSO,LINKSTATE> ether 00:00:00:00:00:00 inet6 fe80::0000:0000:0000:0000%bge0 prefixlen 64 scopeid 0x1 inet 10.2.3.4 netmask 0xffffff00 broadcast 10.2.3.255 nd6 options=21<PERFORMNUD,AUTO_LINKLOCAL> media: Ethernet autoselect (1000baseT <full-duplex>) status: active """

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py

Python

theBroker/venv/Lib/site-packages/ttn/github_com/TheThingsNetwork/api/__init__.py

emirgo/WeatherStation

f0f8c3464470991fc962d83cea20f3bcfd6a04b6

[ "MIT" ]

32

2017-11-01T16:03:48.000Z

2021-11-16T12:35:34.000Z

theBroker/venv/Lib/site-packages/ttn/github_com/TheThingsNetwork/api/__init__.py

emirgo/WeatherStation

f0f8c3464470991fc962d83cea20f3bcfd6a04b6

[ "MIT" ]

28

2017-11-20T09:45:59.000Z

2021-12-14T09:31:24.000Z

theBroker/venv/Lib/site-packages/ttn/github_com/TheThingsNetwork/api/__init__.py

emirgo/WeatherStation

f0f8c3464470991fc962d83cea20f3bcfd6a04b6

[ "MIT" ]

22

2017-11-03T10:21:50.000Z

2021-04-08T05:20:51.000Z

from .api_pb2_grpc import * from .api_pb2 import *

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